2022-11-23T01:33:31.3792529Z Requested labels: linux.4xlarge.nvidia.gpu
2022-11-23T01:33:31.3792605Z Job defined at: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/master
2022-11-23T01:33:31.3792628Z Waiting for a runner to pick up this job...
2022-11-23T01:33:31.5255996Z Job is about to start running on the runner: i-0bed01032a9738570 (organization)
2022-11-23T01:33:35.3200669Z Current runner version: '2.299.1'
2022-11-23T01:33:35.3211370Z Runner name: 'i-0bed01032a9738570'
2022-11-23T01:33:35.3212203Z Runner group name: 'Default'
2022-11-23T01:33:35.3213187Z Machine name: 'ip-10-0-0-51'
2022-11-23T01:33:35.3216972Z ##[group]GITHUB_TOKEN Permissions
2022-11-23T01:33:35.3217977Z Actions: write
2022-11-23T01:33:35.3218499Z Checks: write
2022-11-23T01:33:35.3218953Z Contents: write
2022-11-23T01:33:35.3219343Z Deployments: write
2022-11-23T01:33:35.3219823Z Discussions: write
2022-11-23T01:33:35.3220362Z Issues: write
2022-11-23T01:33:35.3220784Z Metadata: read
2022-11-23T01:33:35.3221233Z Packages: write
2022-11-23T01:33:35.3221678Z Pages: write
2022-11-23T01:33:35.3222074Z PullRequests: write
2022-11-23T01:33:35.3222590Z RepositoryProjects: write
2022-11-23T01:33:35.3223122Z SecurityEvents: write
2022-11-23T01:33:35.3223522Z Statuses: write
2022-11-23T01:33:35.3223992Z ##[endgroup]
2022-11-23T01:33:35.3229857Z Secret source: Actions
2022-11-23T01:33:35.3230863Z Prepare workflow directory
2022-11-23T01:33:35.4823943Z Prepare all required actions
2022-11-23T01:33:35.5101833Z Getting action download info
2022-11-23T01:33:35.7289186Z Download action repository 'pytorch/test-infra@main' (SHA:c57ff4d9a93667a5571a80a0e92c3e2674aeedfd)
2022-11-23T01:33:36.1014449Z Download action repository 'pytorch/pytorch@master' (SHA:1cfd3858ac54fe3883534309081631a0a892ba3f)
2022-11-23T01:33:39.5904165Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2022-11-23T01:33:39.9366385Z Getting action download info
2022-11-23T01:33:40.0753476Z Download action repository 'malfet/checkout@silent-checkout' (SHA:c7b8fef48edfe1bca0044a44b1f7f7c4318a3076)
2022-11-23T01:33:40.2594819Z Getting action download info
2022-11-23T01:33:40.4269511Z Download action repository 'nick-fields/retry@7d4a37704547a311dbb66ebdf5b23ec19374a767' (SHA:7d4a37704547a311dbb66ebdf5b23ec19374a767)
2022-11-23T01:33:40.5853449Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml
2022-11-23T01:33:40.5857623Z ##[group] Inputs
2022-11-23T01:33:40.5858076Z   build-environment: linux-bionic-cuda11.6-py3.7-gcc7-debug
2022-11-23T01:33:40.5858953Z   test-matrix: { include: [
  { config: "default", shard: 1, num_shards: 4, runner: "linux.4xlarge.nvidia.gpu" },
  { config: "default", shard: 2, num_shards: 4, runner: "linux.4xlarge.nvidia.gpu" },
  { config: "default", shard: 3, num_shards: 4, runner: "linux.4xlarge.nvidia.gpu" },
  { config: "default", shard: 4, num_shards: 4, runner: "linux.4xlarge.nvidia.gpu" },
]}

2022-11-23T01:33:40.5859865Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:33:40.5860341Z   sync-tag: 
2022-11-23T01:33:40.5861628Z   timeout-minutes: 240
2022-11-23T01:33:40.5861931Z ##[endgroup]
2022-11-23T01:33:40.5862826Z Complete job name: linux-bionic-cuda11.6-py3.7-gcc7-debug / test (default, 2, 4, linux.4xlarge.nvidia.gpu, mem_leak_check)
2022-11-23T01:33:40.7084788Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2022-11-23T01:33:40.7085296Z with:
2022-11-23T01:33:40.7086290Z   github-secret: ***
2022-11-23T01:33:40.7086572Z   activate-with-label: false
2022-11-23T01:33:40.7086856Z   label: with-ssh
2022-11-23T01:33:40.7087127Z   remove-existing-keys: true
2022-11-23T01:33:40.7087380Z env:
2022-11-23T01:33:40.7087642Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:33:40.7087917Z ##[endgroup]
2022-11-23T01:33:40.8344904Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2022-11-23T01:33:40.8620315Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@master
2022-11-23T01:33:40.8620756Z with:
2022-11-23T01:33:40.8620990Z   submodules: recursive
2022-11-23T01:33:40.8621285Z   fetch-depth: 0
2022-11-23T01:33:40.8621585Z env:
2022-11-23T01:33:40.8621815Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:33:40.8622090Z ##[endgroup]
2022-11-23T01:33:40.8982080Z ##[group]Run retry () {
2022-11-23T01:33:40.8982595Z retry () {
2022-11-23T01:33:40.8983360Z   $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
2022-11-23T01:33:40.8983679Z }
2022-11-23T01:33:40.8983961Z echo "${GITHUB_WORKSPACE}"
2022-11-23T01:33:40.8984261Z if [ -z "${NO_SUDO}" ]; then
2022-11-23T01:33:40.8984591Z   retry sudo rm -rf "${GITHUB_WORKSPACE}"
2022-11-23T01:33:40.8984889Z else
2022-11-23T01:33:40.8985155Z   retry rm -rf "${GITHUB_WORKSPACE}"
2022-11-23T01:33:40.8985444Z fi
2022-11-23T01:33:40.8985794Z mkdir "${GITHUB_WORKSPACE}"
2022-11-23T01:33:40.9010778Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:33:40.9011147Z env:
2022-11-23T01:33:40.9011434Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:33:40.9011718Z   NO_SUDO: 
2022-11-23T01:33:40.9011948Z ##[endgroup]
2022-11-23T01:33:40.9170385Z /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T01:33:40.9674287Z ##[group]Run malfet/checkout@silent-checkout
2022-11-23T01:33:40.9674648Z with:
2022-11-23T01:33:40.9674933Z   ref: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:33:40.9675211Z   fetch-depth: 0
2022-11-23T01:33:40.9675478Z   submodules: recursive
2022-11-23T01:33:40.9675753Z   quiet-checkout: true
2022-11-23T01:33:40.9676013Z   repository: pytorch/pytorch
2022-11-23T01:33:40.9676475Z   token: ***
2022-11-23T01:33:40.9677083Z   ssh-strict: true
2022-11-23T01:33:40.9677376Z   persist-credentials: true
2022-11-23T01:33:40.9677629Z   clean: true
2022-11-23T01:33:40.9677889Z   lfs: false
2022-11-23T01:33:40.9678156Z   set-safe-directory: true
2022-11-23T01:33:40.9678396Z env:
2022-11-23T01:33:40.9678647Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:33:40.9678916Z ##[endgroup]
2022-11-23T01:33:41.1487363Z Syncing repository: pytorch/pytorch
2022-11-23T01:33:41.1489908Z ##[group]Getting Git version info
2022-11-23T01:33:41.1490565Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2022-11-23T01:33:41.1491231Z [command]/usr/bin/git version
2022-11-23T01:33:41.1491515Z git version 2.37.1
2022-11-23T01:33:41.1492388Z ##[endgroup]
2022-11-23T01:33:41.1512293Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/0ea0536e-e2e6-4761-8bcc-a86149169579' before making global git config changes
2022-11-23T01:33:41.1512904Z Adding repository directory to the temporary git global config as a safe directory
2022-11-23T01:33:41.1515700Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T01:33:41.1576535Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2022-11-23T01:33:41.1583536Z ##[group]Initializing the repository
2022-11-23T01:33:41.1587883Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T01:33:41.1631303Z hint: Using 'master' as the name for the initial branch. This default branch name
2022-11-23T01:33:41.1631854Z hint: is subject to change. To configure the initial branch name to use in all
2022-11-23T01:33:41.1632328Z hint: of your new repositories, which will suppress this warning, call:
2022-11-23T01:33:41.1632926Z hint: 
2022-11-23T01:33:41.1633640Z hint: 	git config --global init.defaultBranch <name>
2022-11-23T01:33:41.1633940Z hint: 
2022-11-23T01:33:41.1634329Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2022-11-23T01:33:41.1634844Z hint: 'development'. The just-created branch can be renamed via this command:
2022-11-23T01:33:41.1635180Z hint: 
2022-11-23T01:33:41.1635703Z hint: 	git branch -m <name>
2022-11-23T01:33:41.1636251Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2022-11-23T01:33:41.1647017Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2022-11-23T01:33:41.1693173Z ##[endgroup]
2022-11-23T01:33:41.1693794Z ##[group]Disabling automatic garbage collection
2022-11-23T01:33:41.1698671Z [command]/usr/bin/git config --local gc.auto 0
2022-11-23T01:33:41.1745840Z ##[endgroup]
2022-11-23T01:33:41.1746414Z ##[group]Setting up auth
2022-11-23T01:33:41.1757512Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2022-11-23T01:33:41.1805625Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :
2022-11-23T01:33:41.2225994Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2022-11-23T01:33:41.2269312Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :
2022-11-23T01:33:41.2655275Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2022-11-23T01:33:41.2720415Z ##[endgroup]
2022-11-23T01:33:41.2721049Z ##[group]Fetching the repository
2022-11-23T01:33:41.2730076Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --quiet --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2022-11-23T01:34:42.2323102Z [command]/usr/bin/git rev-parse --verify --quiet 1cfd3858ac54fe3883534309081631a0a892ba3f^{object}
2022-11-23T01:34:42.2361033Z 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:34:42.2365831Z ##[endgroup]
2022-11-23T01:34:42.2366262Z ##[group]Determining the checkout info
2022-11-23T01:34:42.2368286Z ##[endgroup]
2022-11-23T01:34:42.2368733Z ##[group]Checking out the ref
2022-11-23T01:34:42.2374622Z [command]/usr/bin/git checkout --quiet --force 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:34:44.1575946Z ##[endgroup]
2022-11-23T01:34:44.1577167Z ##[group]Setting up auth for fetching submodules
2022-11-23T01:34:44.1583674Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2022-11-23T01:34:44.1651043Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2022-11-23T01:34:44.1695055Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2022-11-23T01:34:44.1737664Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2022-11-23T01:34:44.1779966Z ##[endgroup]
2022-11-23T01:34:44.1780502Z ##[group]Fetching submodules
2022-11-23T01:34:44.1787101Z [command]/usr/bin/git submodule sync --recursive
2022-11-23T01:34:44.2183706Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2022-11-23T01:34:44.2563836Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2022-11-23T01:34:44.2567312Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2022-11-23T01:34:44.2567935Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2022-11-23T01:34:44.2570237Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2022-11-23T01:34:44.2575124Z Submodule 'third_party/QNNPACK' (https://github.com/pytorch/QNNPACK) registered for path 'third_party/QNNPACK'
2022-11-23T01:34:44.2581422Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2022-11-23T01:34:44.2587126Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2022-11-23T01:34:44.2592657Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2022-11-23T01:34:44.2596835Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2022-11-23T01:34:44.2600912Z Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub'
2022-11-23T01:34:44.2605262Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2022-11-23T01:34:44.2609302Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2022-11-23T01:34:44.2613935Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen'
2022-11-23T01:34:44.2621712Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2022-11-23T01:34:44.2628525Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2022-11-23T01:34:44.2635622Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2022-11-23T01:34:44.2643477Z Submodule 'third_party/foxi' (https://github.com/houseroad/foxi.git) registered for path 'third_party/foxi'
2022-11-23T01:34:44.2651490Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:34:44.2660618Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo'
2022-11-23T01:34:44.2668883Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2022-11-23T01:34:44.2677695Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2022-11-23T01:34:44.2686587Z Submodule 'third_party/ios-cmake' (https://github.com/Yangqing/ios-cmake.git) registered for path 'third_party/ios-cmake'
2022-11-23T01:34:44.2695833Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2022-11-23T01:34:44.2705692Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2022-11-23T01:34:44.2714764Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl'
2022-11-23T01:34:44.2722818Z Submodule 'third_party/neon2sse' (https://github.com/intel/ARM_NEON_2_x86_SSE.git) registered for path 'third_party/neon2sse'
2022-11-23T01:34:44.2729564Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2022-11-23T01:34:44.2735475Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2022-11-23T01:34:44.2742973Z Submodule 'third_party/onnx-tensorrt' (https://github.com/onnx/onnx-tensorrt) registered for path 'third_party/onnx-tensorrt'
2022-11-23T01:34:44.2749131Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2022-11-23T01:34:44.2755829Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2022-11-23T01:34:44.2762563Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2022-11-23T01:34:44.2769897Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2022-11-23T01:34:44.2777303Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2022-11-23T01:34:44.2785437Z Submodule 'third_party/python-enum' (https://github.com/PeachPy/enum34.git) registered for path 'third_party/python-enum'
2022-11-23T01:34:44.2792340Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2022-11-23T01:34:44.2799867Z Submodule 'third_party/python-six' (https://github.com/benjaminp/six.git) registered for path 'third_party/python-six'
2022-11-23T01:34:44.2807387Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2022-11-23T01:34:44.2815228Z Submodule 'third_party/tbb' (https://github.com/01org/tbb) registered for path 'third_party/tbb'
2022-11-23T01:34:44.2823987Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2022-11-23T01:34:44.2831789Z Submodule 'third_party/zstd' (https://github.com/facebook/zstd.git) registered for path 'third_party/zstd'
2022-11-23T01:34:44.2870756Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2022-11-23T01:34:44.5981620Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2022-11-23T01:34:44.8653442Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2022-11-23T01:34:45.1359699Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2022-11-23T01:34:45.4361120Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/QNNPACK'...
2022-11-23T01:34:45.7235881Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2022-11-23T01:34:48.0979891Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2022-11-23T01:34:54.7713078Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2022-11-23T01:34:55.2008586Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2022-11-23T01:34:55.7878090Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cub'...
2022-11-23T01:34:57.5006782Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
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2022-11-23T01:36:26.2369143Z ##[endgroup]
2022-11-23T01:36:26.2430196Z ##[group]Persisting credentials for submodules
2022-11-23T01:36:26.2431911Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :
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2022-11-23T01:36:26.6171685Z Entering 'third_party/zstd'
2022-11-23T01:36:26.6244339Z [command]/usr/bin/git submodule foreach --recursive git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url
2022-11-23T01:36:26.6634213Z Entering 'android/libs/fbjni'
2022-11-23T01:36:26.6686494Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2022-11-23T01:36:26.6707710Z Entering 'third_party/FP16'
2022-11-23T01:36:26.6758237Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2022-11-23T01:36:26.6780641Z Entering 'third_party/FXdiv'
2022-11-23T01:36:26.6831026Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2022-11-23T01:36:26.6852927Z Entering 'third_party/NNPACK'
2022-11-23T01:36:26.6904763Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
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2022-11-23T01:36:26.6975855Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/QNNPACK/config	remote.origin.url
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2022-11-23T01:36:26.7049438Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2022-11-23T01:36:26.7072623Z Entering 'third_party/XNNPACK'
2022-11-23T01:36:26.7124267Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2022-11-23T01:36:26.7162179Z Entering 'third_party/benchmark'
2022-11-23T01:36:26.7212542Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2022-11-23T01:36:26.7235525Z Entering 'third_party/cpuinfo'
2022-11-23T01:36:26.7285921Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2022-11-23T01:36:26.7309460Z Entering 'third_party/cub'
2022-11-23T01:36:26.7358101Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cub/config	remote.origin.url
2022-11-23T01:36:26.7379344Z Entering 'third_party/cudnn_frontend'
2022-11-23T01:36:26.7428570Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2022-11-23T01:36:26.7457979Z Entering 'third_party/cutlass'
2022-11-23T01:36:26.7509359Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2022-11-23T01:36:26.7542510Z Entering 'third_party/eigen'
2022-11-23T01:36:26.7593092Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/eigen/config	remote.origin.url
2022-11-23T01:36:26.7619519Z Entering 'third_party/fbgemm'
2022-11-23T01:36:26.7669946Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2022-11-23T01:36:26.7691028Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-11-23T01:36:26.7742794Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/asmjit/config	remote.origin.url
2022-11-23T01:36:26.7763558Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T01:36:26.7813460Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/cpuinfo/config	remote.origin.url
2022-11-23T01:36:26.7835195Z Entering 'third_party/fbgemm/third_party/googletest'
2022-11-23T01:36:26.7883639Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/googletest/config	remote.origin.url
2022-11-23T01:36:26.7905684Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T01:36:26.7955197Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/hipify_torch/config	remote.origin.url
2022-11-23T01:36:26.7979270Z Entering 'third_party/flatbuffers'
2022-11-23T01:36:26.8028119Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2022-11-23T01:36:26.8053838Z Entering 'third_party/fmt'
2022-11-23T01:36:26.8104903Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2022-11-23T01:36:26.8126681Z Entering 'third_party/foxi'
2022-11-23T01:36:26.8175574Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/foxi/config	remote.origin.url
2022-11-23T01:36:26.8198522Z Entering 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:36:26.8247223Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2022-11-23T01:36:26.8270599Z Entering 'third_party/gloo'
2022-11-23T01:36:26.8319202Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2022-11-23T01:36:26.8341811Z Entering 'third_party/googletest'
2022-11-23T01:36:26.8391410Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2022-11-23T01:36:26.8413567Z Entering 'third_party/ideep'
2022-11-23T01:36:26.8465251Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2022-11-23T01:36:26.8486226Z Entering 'third_party/ideep/mkl-dnn'
2022-11-23T01:36:26.8536958Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2022-11-23T01:36:26.8560209Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T01:36:26.8611182Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/modules/third_party/oneDNN/config	remote.origin.url
2022-11-23T01:36:26.8642597Z Entering 'third_party/ios-cmake'
2022-11-23T01:36:26.8694238Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ios-cmake/config	remote.origin.url
2022-11-23T01:36:26.8715833Z Entering 'third_party/ittapi'
2022-11-23T01:36:26.8764447Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
2022-11-23T01:36:26.8787777Z Entering 'third_party/kineto'
2022-11-23T01:36:26.8837105Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2022-11-23T01:36:26.8859573Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T01:36:26.8909373Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config	remote.origin.url
2022-11-23T01:36:26.8930676Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T01:36:26.8981720Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
2022-11-23T01:36:26.9005506Z Entering 'third_party/nccl/nccl'
2022-11-23T01:36:26.9056805Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nccl/nccl/config	remote.origin.url
2022-11-23T01:36:26.9079439Z Entering 'third_party/neon2sse'
2022-11-23T01:36:26.9130489Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/neon2sse/config	remote.origin.url
2022-11-23T01:36:26.9153264Z Entering 'third_party/nlohmann'
2022-11-23T01:36:26.9203565Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config	remote.origin.url
2022-11-23T01:36:26.9227824Z Entering 'third_party/onnx'
2022-11-23T01:36:26.9277984Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
2022-11-23T01:36:26.9317050Z Entering 'third_party/onnx/third_party/benchmark'
2022-11-23T01:36:26.9367347Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/benchmark/config	remote.origin.url
2022-11-23T01:36:26.9390794Z Entering 'third_party/onnx/third_party/pybind11'
2022-11-23T01:36:26.9440268Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2022-11-23T01:36:26.9466340Z Entering 'third_party/onnx-tensorrt'
2022-11-23T01:36:26.9516755Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/config	remote.origin.url
2022-11-23T01:36:26.9537842Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T01:36:26.9587987Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/config	remote.origin.url
2022-11-23T01:36:26.9617472Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T01:36:26.9669013Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/benchmark/config	remote.origin.url
2022-11-23T01:36:26.9690553Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T01:36:26.9740927Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2022-11-23T01:36:26.9763065Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T01:36:26.9814999Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2022-11-23T01:36:26.9843322Z Entering 'third_party/pocketfft'
2022-11-23T01:36:26.9894202Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
2022-11-23T01:36:26.9915130Z Entering 'third_party/protobuf'
2022-11-23T01:36:26.9965364Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
2022-11-23T01:36:26.9992416Z Entering 'third_party/protobuf/third_party/benchmark'
2022-11-23T01:36:27.0043309Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
2022-11-23T01:36:27.0065423Z Entering 'third_party/protobuf/third_party/googletest'
2022-11-23T01:36:27.0115897Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
2022-11-23T01:36:27.0140944Z Entering 'third_party/psimd'
2022-11-23T01:36:27.0191352Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2022-11-23T01:36:27.0212735Z Entering 'third_party/pthreadpool'
2022-11-23T01:36:27.0263470Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
2022-11-23T01:36:27.0284482Z Entering 'third_party/pybind11'
2022-11-23T01:36:27.0333654Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
2022-11-23T01:36:27.0356653Z Entering 'third_party/python-enum'
2022-11-23T01:36:27.0405306Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-enum/config	remote.origin.url
2022-11-23T01:36:27.0427562Z Entering 'third_party/python-peachpy'
2022-11-23T01:36:27.0476815Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config	remote.origin.url
2022-11-23T01:36:27.0499374Z Entering 'third_party/python-six'
2022-11-23T01:36:27.0548822Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-six/config	remote.origin.url
2022-11-23T01:36:27.0570221Z Entering 'third_party/sleef'
2022-11-23T01:36:27.0620174Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
2022-11-23T01:36:27.0641415Z Entering 'third_party/tbb'
2022-11-23T01:36:27.0692964Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tbb/config	remote.origin.url
2022-11-23T01:36:27.0718779Z Entering 'third_party/tensorpipe'
2022-11-23T01:36:27.0769852Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
2022-11-23T01:36:27.0792458Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-11-23T01:36:27.0841549Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2022-11-23T01:36:27.0863175Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-11-23T01:36:27.0912511Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2022-11-23T01:36:27.0933142Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-11-23T01:36:27.0983122Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2022-11-23T01:36:27.1004283Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T01:36:27.1053857Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2022-11-23T01:36:27.1074818Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T01:36:27.1123854Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2022-11-23T01:36:27.1149843Z Entering 'third_party/zstd'
2022-11-23T01:36:27.1199935Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/zstd/config	remote.origin.url
2022-11-23T01:36:27.2245112Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2022-11-23T01:36:27.2636946Z Entering 'android/libs/fbjni'
2022-11-23T01:36:27.2691922Z Entering 'third_party/FP16'
2022-11-23T01:36:27.2748260Z Entering 'third_party/FXdiv'
2022-11-23T01:36:27.2804531Z Entering 'third_party/NNPACK'
2022-11-23T01:36:27.2859407Z Entering 'third_party/QNNPACK'
2022-11-23T01:36:27.2914751Z Entering 'third_party/VulkanMemoryAllocator'
2022-11-23T01:36:27.2970480Z Entering 'third_party/XNNPACK'
2022-11-23T01:36:27.3041650Z Entering 'third_party/benchmark'
2022-11-23T01:36:27.3098453Z Entering 'third_party/cpuinfo'
2022-11-23T01:36:27.3154787Z Entering 'third_party/cub'
2022-11-23T01:36:27.3209798Z Entering 'third_party/cudnn_frontend'
2022-11-23T01:36:27.3273802Z Entering 'third_party/cutlass'
2022-11-23T01:36:27.3339703Z Entering 'third_party/eigen'
2022-11-23T01:36:27.3400485Z Entering 'third_party/fbgemm'
2022-11-23T01:36:27.3455945Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-11-23T01:36:27.3512280Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T01:36:27.3566377Z Entering 'third_party/fbgemm/third_party/googletest'
2022-11-23T01:36:27.3621193Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T01:36:27.3677724Z Entering 'third_party/flatbuffers'
2022-11-23T01:36:27.3737116Z Entering 'third_party/fmt'
2022-11-23T01:36:27.3792705Z Entering 'third_party/foxi'
2022-11-23T01:36:27.3847450Z Entering 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:36:27.3904459Z Entering 'third_party/gloo'
2022-11-23T01:36:27.3961084Z Entering 'third_party/googletest'
2022-11-23T01:36:27.4017551Z Entering 'third_party/ideep'
2022-11-23T01:36:27.4074260Z Entering 'third_party/ideep/mkl-dnn'
2022-11-23T01:36:27.4130916Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T01:36:27.4195733Z Entering 'third_party/ios-cmake'
2022-11-23T01:36:27.4252949Z Entering 'third_party/ittapi'
2022-11-23T01:36:27.4309432Z Entering 'third_party/kineto'
2022-11-23T01:36:27.4364108Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T01:36:27.4419542Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T01:36:27.4474942Z Entering 'third_party/nccl/nccl'
2022-11-23T01:36:27.4530697Z Entering 'third_party/neon2sse'
2022-11-23T01:36:27.4586088Z Entering 'third_party/nlohmann'
2022-11-23T01:36:27.4643166Z Entering 'third_party/onnx'
2022-11-23T01:36:27.4716357Z Entering 'third_party/onnx/third_party/benchmark'
2022-11-23T01:36:27.4771626Z Entering 'third_party/onnx/third_party/pybind11'
2022-11-23T01:36:27.4830016Z Entering 'third_party/onnx-tensorrt'
2022-11-23T01:36:27.4885704Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T01:36:27.4946098Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T01:36:27.5001673Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T01:36:27.5057389Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T01:36:27.5118654Z Entering 'third_party/pocketfft'
2022-11-23T01:36:27.5174883Z Entering 'third_party/protobuf'
2022-11-23T01:36:27.5236628Z Entering 'third_party/protobuf/third_party/benchmark'
2022-11-23T01:36:27.5291413Z Entering 'third_party/protobuf/third_party/googletest'
2022-11-23T01:36:27.5350158Z Entering 'third_party/psimd'
2022-11-23T01:36:27.5405172Z Entering 'third_party/pthreadpool'
2022-11-23T01:36:27.5460884Z Entering 'third_party/pybind11'
2022-11-23T01:36:27.5517548Z Entering 'third_party/python-enum'
2022-11-23T01:36:27.5570552Z Entering 'third_party/python-peachpy'
2022-11-23T01:36:27.5626139Z Entering 'third_party/python-six'
2022-11-23T01:36:27.5681332Z Entering 'third_party/sleef'
2022-11-23T01:36:27.5737545Z Entering 'third_party/tbb'
2022-11-23T01:36:27.5796164Z Entering 'third_party/tensorpipe'
2022-11-23T01:36:27.5852724Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-11-23T01:36:27.5907291Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-11-23T01:36:27.5961777Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-11-23T01:36:27.6015986Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T01:36:27.6069480Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T01:36:27.6126686Z Entering 'third_party/zstd'
2022-11-23T01:36:27.6199500Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2022-11-23T01:36:27.6591519Z Entering 'android/libs/fbjni'
2022-11-23T01:36:27.6647749Z Entering 'third_party/FP16'
2022-11-23T01:36:27.6703168Z Entering 'third_party/FXdiv'
2022-11-23T01:36:27.6757065Z Entering 'third_party/NNPACK'
2022-11-23T01:36:27.6812668Z Entering 'third_party/QNNPACK'
2022-11-23T01:36:27.6867963Z Entering 'third_party/VulkanMemoryAllocator'
2022-11-23T01:36:27.6923736Z Entering 'third_party/XNNPACK'
2022-11-23T01:36:27.6994466Z Entering 'third_party/benchmark'
2022-11-23T01:36:27.7050630Z Entering 'third_party/cpuinfo'
2022-11-23T01:36:27.7106307Z Entering 'third_party/cub'
2022-11-23T01:36:27.7160539Z Entering 'third_party/cudnn_frontend'
2022-11-23T01:36:27.7224290Z Entering 'third_party/cutlass'
2022-11-23T01:36:27.7289403Z Entering 'third_party/eigen'
2022-11-23T01:36:27.7350483Z Entering 'third_party/fbgemm'
2022-11-23T01:36:27.7406779Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-11-23T01:36:27.7459991Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T01:36:27.7513724Z Entering 'third_party/fbgemm/third_party/googletest'
2022-11-23T01:36:27.7565081Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T01:36:27.7619762Z Entering 'third_party/flatbuffers'
2022-11-23T01:36:27.7677282Z Entering 'third_party/fmt'
2022-11-23T01:36:27.7733921Z Entering 'third_party/foxi'
2022-11-23T01:36:27.7789911Z Entering 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:36:27.7845364Z Entering 'third_party/gloo'
2022-11-23T01:36:27.7901962Z Entering 'third_party/googletest'
2022-11-23T01:36:27.7957983Z Entering 'third_party/ideep'
2022-11-23T01:36:27.8011941Z Entering 'third_party/ideep/mkl-dnn'
2022-11-23T01:36:27.8070393Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T01:36:27.8133871Z Entering 'third_party/ios-cmake'
2022-11-23T01:36:27.8189952Z Entering 'third_party/ittapi'
2022-11-23T01:36:27.8245110Z Entering 'third_party/kineto'
2022-11-23T01:36:27.8299882Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T01:36:27.8352582Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T01:36:27.8409274Z Entering 'third_party/nccl/nccl'
2022-11-23T01:36:27.8466038Z Entering 'third_party/neon2sse'
2022-11-23T01:36:27.8520477Z Entering 'third_party/nlohmann'
2022-11-23T01:36:27.8577880Z Entering 'third_party/onnx'
2022-11-23T01:36:27.8649812Z Entering 'third_party/onnx/third_party/benchmark'
2022-11-23T01:36:27.8706391Z Entering 'third_party/onnx/third_party/pybind11'
2022-11-23T01:36:27.8764283Z Entering 'third_party/onnx-tensorrt'
2022-11-23T01:36:27.8820561Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T01:36:27.8881072Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T01:36:27.8937115Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T01:36:27.8991170Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T01:36:27.9052828Z Entering 'third_party/pocketfft'
2022-11-23T01:36:27.9110032Z Entering 'third_party/protobuf'
2022-11-23T01:36:27.9170324Z Entering 'third_party/protobuf/third_party/benchmark'
2022-11-23T01:36:27.9225255Z Entering 'third_party/protobuf/third_party/googletest'
2022-11-23T01:36:27.9282509Z Entering 'third_party/psimd'
2022-11-23T01:36:27.9339540Z Entering 'third_party/pthreadpool'
2022-11-23T01:36:27.9393875Z Entering 'third_party/pybind11'
2022-11-23T01:36:27.9449496Z Entering 'third_party/python-enum'
2022-11-23T01:36:27.9506158Z Entering 'third_party/python-peachpy'
2022-11-23T01:36:27.9560295Z Entering 'third_party/python-six'
2022-11-23T01:36:27.9615763Z Entering 'third_party/sleef'
2022-11-23T01:36:27.9671636Z Entering 'third_party/tbb'
2022-11-23T01:36:27.9728694Z Entering 'third_party/tensorpipe'
2022-11-23T01:36:27.9784505Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-11-23T01:36:27.9838856Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-11-23T01:36:27.9894110Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-11-23T01:36:27.9948655Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T01:36:28.0001493Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T01:36:28.0059183Z Entering 'third_party/zstd'
2022-11-23T01:36:28.0128009Z ##[endgroup]
2022-11-23T01:36:28.0185345Z [command]/usr/bin/git log -1 --format='%H'
2022-11-23T01:36:28.0227608Z '1cfd3858ac54fe3883534309081631a0a892ba3f'
2022-11-23T01:36:28.0430901Z Prepare all required actions
2022-11-23T01:36:28.0466887Z ##[group]Run ./.github/actions/setup-linux
2022-11-23T01:36:28.0467217Z env:
2022-11-23T01:36:28.0467489Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:36:28.0467768Z ##[endgroup]
2022-11-23T01:36:28.0489476Z ##[group]Run set -euo pipefail
2022-11-23T01:36:28.0489858Z set -euo pipefail
2022-11-23T01:36:28.0490179Z function get_ec2_metadata() {
2022-11-23T01:36:28.0490546Z   # Pulled from instance metadata endpoint for EC2
2022-11-23T01:36:28.0491240Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2022-11-23T01:36:28.0491679Z   category=$1
2022-11-23T01:36:28.0492042Z   curl -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2022-11-23T01:36:28.0492383Z }
2022-11-23T01:36:28.0492666Z echo "ami-id: $(get_ec2_metadata ami-id)"
2022-11-23T01:36:28.0493102Z echo "instance-id: $(get_ec2_metadata instance-id)"
2022-11-23T01:36:28.0493510Z echo "instance-type: $(get_ec2_metadata instance-type)"
2022-11-23T01:36:28.0493855Z echo "system info $(uname -a)"
2022-11-23T01:36:28.0509368Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:36:28.0509700Z env:
2022-11-23T01:36:28.0509991Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:36:28.0510294Z ##[endgroup]
2022-11-23T01:36:28.0635665Z ami-id: ami-096198a0bccc6bad4
2022-11-23T01:36:28.0722606Z instance-id: i-0bed01032a9738570
2022-11-23T01:36:28.0806212Z instance-type: g3.4xlarge
2022-11-23T01:36:28.0815818Z system info Linux ip-10-0-0-51.ec2.internal 4.14.252-195.483.amzn2.x86_64 #1 SMP Mon Nov 1 20:58:46 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
2022-11-23T01:36:28.0840858Z ##[group]Run if systemctl is-active --quiet docker; then
2022-11-23T01:36:28.0841284Z if systemctl is-active --quiet docker; then
2022-11-23T01:36:28.0841632Z     echo "Docker daemon is running...";
2022-11-23T01:36:28.0841909Z else
2022-11-23T01:36:28.0842246Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2022-11-23T01:36:28.0842567Z fi
2022-11-23T01:36:28.0857608Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:36:28.0857928Z env:
2022-11-23T01:36:28.0858181Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:36:28.0858430Z ##[endgroup]
2022-11-23T01:36:28.0925461Z Docker daemon is running...
2022-11-23T01:36:28.0948316Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2022-11-23T01:36:28.0948847Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2022-11-23T01:36:28.0949246Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-11-23T01:36:28.0949831Z retry aws ecr get-login*** "$AWS_DEFAULT_REGION" | docker login --username AWS \
2022-11-23T01:36:28.0950360Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2022-11-23T01:36:28.0964655Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:36:28.0964974Z env:
2022-11-23T01:36:28.0965216Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:36:28.0965508Z   AWS_RETRY_MODE: standard
2022-11-23T01:36:28.0965790Z   AWS_MAX_ATTEMPTS: 5
2022-11-23T01:36:28.0966056Z   AWS_DEFAULT_REGION: us-east-1
2022-11-23T01:36:28.0966335Z ##[endgroup]
2022-11-23T01:36:29.3743165Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2022-11-23T01:36:29.3743790Z Configure a credential helper to remove this warning. See
2022-11-23T01:36:29.3744284Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2022-11-23T01:36:29.3744848Z 
2022-11-23T01:36:29.3745073Z Login Succeeded
2022-11-23T01:36:29.3843254Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2022-11-23T01:36:29.3843705Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2022-11-23T01:36:29.3844235Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2022-11-23T01:36:29.3859046Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:36:29.3859378Z env:
2022-11-23T01:36:29.3859643Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:36:29.3859901Z ##[endgroup]
2022-11-23T01:36:29.3967689Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2022-11-23T01:36:29.3968078Z with:
2022-11-23T01:36:29.3968571Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:36:29.3969187Z env:
2022-11-23T01:36:29.3969416Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:36:29.3969691Z ##[endgroup]
2022-11-23T01:36:29.3988157Z ##[group]Run retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-11-23T01:36:29.3988530Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-11-23T01:36:29.3988920Z # ignore output since only exit code is used for conditional
2022-11-23T01:36:29.3989321Z # only pull docker image if it's not available locally
2022-11-23T01:36:29.3989714Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2022-11-23T01:36:29.3990146Z   retry docker pull "${DOCKER_IMAGE}"
2022-11-23T01:36:29.3990448Z fi
2022-11-23T01:36:29.4004623Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:36:29.4004911Z env:
2022-11-23T01:36:29.4005181Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:36:29.4005724Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:36:29.4006218Z ##[endgroup]
2022-11-23T01:36:29.6443915Z 072aae4a77ed7d3a69ad5683420509c41301b940: Pulling from pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7
2022-11-23T01:36:29.6445386Z a404e5416296: Pulling fs layer
2022-11-23T01:36:29.6446151Z c58c079e9b17: Pulling fs layer
2022-11-23T01:36:29.6446662Z e5b80b8bbe91: Pulling fs layer
2022-11-23T01:36:29.6446955Z 888240790290: Pulling fs layer
2022-11-23T01:36:29.6447305Z 515fe5e34eb4: Pulling fs layer
2022-11-23T01:36:29.6447602Z 4e4521f12f5a: Pulling fs layer
2022-11-23T01:36:29.6447913Z f6e1a56cb32d: Pulling fs layer
2022-11-23T01:36:29.6448177Z c29b96e36bd0: Pulling fs layer
2022-11-23T01:36:29.6448582Z 304d3c6c28d0: Pulling fs layer
2022-11-23T01:36:29.6449127Z fac00e927cfe: Pulling fs layer
2022-11-23T01:36:29.6449558Z f0158c8d8420: Pulling fs layer
2022-11-23T01:36:29.6450061Z 3ceac802dd07: Pulling fs layer
2022-11-23T01:36:29.6450593Z 4e4521f12f5a: Waiting
2022-11-23T01:36:29.6451086Z 0d0e625ba887: Pulling fs layer
2022-11-23T01:36:29.6451578Z bc2be817cb7e: Pulling fs layer
2022-11-23T01:36:29.6452132Z 11eb2106b948: Pulling fs layer
2022-11-23T01:36:29.6452406Z f6e1a56cb32d: Waiting
2022-11-23T01:36:29.6452683Z 34fa4193c7a6: Pulling fs layer
2022-11-23T01:36:29.6453100Z a7cf5b3894f8: Pulling fs layer
2022-11-23T01:36:29.6453592Z c29b96e36bd0: Waiting
2022-11-23T01:36:29.6453976Z f0158c8d8420: Waiting
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2022-11-23T01:36:29.6457702Z fac00e927cfe: Waiting
2022-11-23T01:36:29.6458212Z 73a2b1f75a3d: Pulling fs layer
2022-11-23T01:36:29.6458759Z ba6235196410: Pulling fs layer
2022-11-23T01:36:29.6459309Z 3ceac802dd07: Waiting
2022-11-23T01:36:29.6459782Z bc2be817cb7e: Waiting
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2022-11-23T01:36:29.6460394Z 879cdaf83543: Pulling fs layer
2022-11-23T01:36:29.6460621Z 3f6b06edd3f5: Waiting
2022-11-23T01:36:29.6461042Z 6ff0fc00b0a9: Pulling fs layer
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2022-11-23T01:36:29.6461578Z a8c562f6a1cf: Pulling fs layer
2022-11-23T01:36:29.6461842Z 0d0e625ba887: Waiting
2022-11-23T01:36:29.6462105Z 0a39b4492650: Pulling fs layer
2022-11-23T01:36:29.6462363Z 9088ff8de269: Pulling fs layer
2022-11-23T01:36:29.6462622Z ba6235196410: Waiting
2022-11-23T01:36:29.6462867Z 879cdaf83543: Waiting
2022-11-23T01:36:29.6463088Z 515fe5e34eb4: Waiting
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2022-11-23T01:36:29.6463830Z 0a39b4492650: Waiting
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2022-11-23T01:36:29.6464714Z b18965f4b6f1: Pulling fs layer
2022-11-23T01:36:29.6464982Z 11eb2106b948: Waiting
2022-11-23T01:36:29.6465246Z 102ddcd90753: Pulling fs layer
2022-11-23T01:36:29.6465523Z 5f5dd1cba120: Pulling fs layer
2022-11-23T01:36:29.6465981Z 8a7f50c8b503: Pulling fs layer
2022-11-23T01:36:29.6466471Z ae48b7377a0d: Waiting
2022-11-23T01:36:29.6466766Z 5f5dd1cba120: Waiting
2022-11-23T01:36:29.6467197Z 863c35620b44: Pulling fs layer
2022-11-23T01:36:29.6467695Z 34fa4193c7a6: Waiting
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2022-11-23T01:36:29.6468396Z a47cba6c334e: Pulling fs layer
2022-11-23T01:36:29.6468681Z 8a7f50c8b503: Waiting
2022-11-23T01:36:29.6469073Z a9f3d4742233: Pulling fs layer
2022-11-23T01:36:29.6469355Z 3cefa8a4607f: Pulling fs layer
2022-11-23T01:36:29.6469599Z 73a2b1f75a3d: Waiting
2022-11-23T01:36:29.6469864Z 023a41fa48e6: Pulling fs layer
2022-11-23T01:36:29.6470120Z a9f3d4742233: Waiting
2022-11-23T01:36:29.6470340Z 863c35620b44: Waiting
2022-11-23T01:36:29.6470599Z 96e251412f4d: Pulling fs layer
2022-11-23T01:36:29.6470873Z 49d40c00cf56: Pulling fs layer
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2022-11-23T01:36:29.6471391Z 96805775a692: Pulling fs layer
2022-11-23T01:36:29.6471655Z 183e4209dc37: Waiting
2022-11-23T01:36:29.6471901Z 75f1ead35ace: Pulling fs layer
2022-11-23T01:36:29.6472177Z 793c37004dab: Pulling fs layer
2022-11-23T01:36:29.6472442Z 023a41fa48e6: Waiting
2022-11-23T01:36:29.6472665Z 7e2d6313145f: Waiting
2022-11-23T01:36:29.6472907Z 9088ff8de269: Waiting
2022-11-23T01:36:29.6473162Z cadc5661750d: Pulling fs layer
2022-11-23T01:36:29.6473466Z 96805775a692: Waiting
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2022-11-23T01:36:29.6474844Z 75f1ead35ace: Waiting
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2022-11-23T01:36:29.6476156Z 9f7cfb895784: Pulling fs layer
2022-11-23T01:36:29.6476618Z 6386b2adbe28: Waiting
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2022-11-23T01:36:29.6477163Z 74aa250bc82f: Waiting
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2022-11-23T01:36:29.6480814Z 102ddcd90753: Waiting
2022-11-23T01:36:29.7819518Z c58c079e9b17: Verifying Checksum
2022-11-23T01:36:29.7819944Z c58c079e9b17: Download complete
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2022-11-23T01:36:30.1763731Z fac00e927cfe: Download complete
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2022-11-23T01:36:41.1486770Z 4e4521f12f5a: Download complete
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2022-11-23T01:36:53.1325843Z 3f6b06edd3f5: Download complete
2022-11-23T01:36:55.9028077Z 4e4521f12f5a: Pull complete
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2022-11-23T01:40:16.2617170Z Digest: sha256:3a5626edfb2c43fb24303351be75287af92426b6bb7c6df2defc98f980346c6a
2022-11-23T01:40:16.7625186Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:40:17.0449460Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:40:17.0610541Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2022-11-23T01:40:17.0610918Z with:
2022-11-23T01:40:17.0611147Z   driver-version: 515.76
2022-11-23T01:40:17.0611399Z env:
2022-11-23T01:40:17.0611646Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:40:17.0611892Z ##[endgroup]
2022-11-23T01:40:17.2025845Z ##[group]Run nick-fields/retry@7d4a37704547a311dbb66ebdf5b23ec19374a767
2022-11-23T01:40:17.2026188Z with:
2022-11-23T01:40:17.2026410Z   timeout_minutes: 10
2022-11-23T01:40:17.2026673Z   max_attempts: 3
2022-11-23T01:40:17.2032951Z   command: # Is it disgusting to have a full shell script here in this github action? Sure
# But is it the best way to make it so that this action relies on nothing else? Absolutely
set -eou pipefail

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

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

install_nvidia_driver_amzn2() {
    (
        set -x

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

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

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

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

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

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

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

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

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

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

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

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

        (
            set +e
            nvidia-smi
            NVIDIA_SMI_STATUS=$?

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

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

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

2022-11-23T01:40:17.2039199Z   retry_wait_seconds: 10
2022-11-23T01:40:17.2039486Z   polling_interval_seconds: 1
2022-11-23T01:40:17.2039773Z   warning_on_retry: true
2022-11-23T01:40:17.2040025Z   continue_on_error: false
2022-11-23T01:40:17.2040273Z env:
2022-11-23T01:40:17.2040531Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:40:17.2040781Z   DRIVER_VERSION: 515.76
2022-11-23T01:40:17.2041035Z ##[endgroup]
2022-11-23T01:40:17.2714898Z 
2022-11-23T01:40:17.2742416Z ##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/
2022-11-23T01:40:17.2796274Z == Installing nvidia driver NVIDIA-Linux-x86_64-515.76.run ==
2022-11-23T01:40:17.2797077Z + sudo yum remove -y nvidia-driver-latest-dkms
2022-11-23T01:40:17.8029136Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2022-11-23T01:40:17.8563074Z No Match for argument: nvidia-driver-latest-dkms
2022-11-23T01:40:17.8937584Z No Packages marked for removal
2022-11-23T01:40:17.9185133Z + echo 'Before installing NVIDIA driver'
2022-11-23T01:40:17.9185825Z + lspci
2022-11-23T01:40:17.9186282Z Before installing NVIDIA driver
2022-11-23T01:40:19.1540948Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] (rev 02)
2022-11-23T01:40:19.1541550Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2022-11-23T01:40:19.1541947Z 00:01.1 IDE interface: Intel Corporation 82371SB PIIX3 IDE [Natoma/Triton II]
2022-11-23T01:40:19.1542325Z 00:01.3 Bridge: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 01)
2022-11-23T01:40:19.1542686Z 00:02.0 VGA compatible controller: Cirrus Logic GD 5446
2022-11-23T01:40:19.1548809Z 00:03.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2022-11-23T01:40:19.1549736Z 00:1e.0 VGA compatible controller: NVIDIA Corporation GM204GL [Tesla M60] (rev a1)
2022-11-23T01:40:19.1550215Z 00:1f.0 Unassigned class [ff80]: XenSource, Inc. Xen Platform Device (rev 01)
2022-11-23T01:40:19.1550547Z + lsmod
2022-11-23T01:40:19.1570310Z Module                  Size  Used by
2022-11-23T01:40:19.1570646Z xt_conntrack           16384  1
2022-11-23T01:40:19.1570955Z ipt_MASQUERADE         16384  1
2022-11-23T01:40:19.1571595Z nf_nat_masquerade_ipv4    16384  1 ipt_MASQUERADE
2022-11-23T01:40:19.1572215Z nf_conntrack_netlink    49152  0
2022-11-23T01:40:19.1572539Z nfnetlink              16384  2 nf_conntrack_netlink
2022-11-23T01:40:19.1572846Z xfrm_user              45056  1
2022-11-23T01:40:19.1573051Z xfrm_algo              16384  1 xfrm_user
2022-11-23T01:40:19.1573367Z xt_addrtype            16384  2
2022-11-23T01:40:19.1573680Z iptable_filter         16384  1
2022-11-23T01:40:19.1573946Z iptable_nat            16384  1
2022-11-23T01:40:19.1574230Z nf_conntrack_ipv4      16384  3
2022-11-23T01:40:19.1574537Z nf_defrag_ipv4         16384  1 nf_conntrack_ipv4
2022-11-23T01:40:19.1574806Z nf_nat_ipv4            16384  1 iptable_nat
2022-11-23T01:40:19.1575424Z nf_nat                 36864  2 nf_nat_masquerade_ipv4,nf_nat_ipv4
2022-11-23T01:40:19.1575967Z nf_conntrack          155648  7 xt_conntrack,nf_nat_masquerade_ipv4,nf_conntrack_ipv4,nf_nat,ipt_MASQUERADE,nf_nat_ipv4,nf_conntrack_netlink
2022-11-23T01:40:19.1576748Z br_netfilter           24576  0
2022-11-23T01:40:19.1577007Z bridge                172032  1 br_netfilter
2022-11-23T01:40:19.1577287Z stp                    16384  1 bridge
2022-11-23T01:40:19.1577590Z llc                    16384  2 bridge,stp
2022-11-23T01:40:19.1577833Z overlay                86016  0
2022-11-23T01:40:19.1578084Z sunrpc                393216  1
2022-11-23T01:40:19.1578320Z dm_mirror              28672  0
2022-11-23T01:40:19.1578654Z dm_region_hash         20480  1 dm_mirror
2022-11-23T01:40:19.1580658Z dm_log                 20480  2 dm_region_hash,dm_mirror
2022-11-23T01:40:19.1581403Z dm_mod                143360  2 dm_log,dm_mirror
2022-11-23T01:40:19.1581825Z dax                    69632  1 dm_mod
2022-11-23T01:40:19.1582329Z sb_edac                24576  0
2022-11-23T01:40:19.1582755Z crc32_pclmul           16384  0
2022-11-23T01:40:19.1583162Z ghash_clmulni_intel    16384  0
2022-11-23T01:40:19.1583452Z pcbc                   16384  0
2022-11-23T01:40:19.1583680Z aesni_intel           188416  0
2022-11-23T01:40:19.1583960Z aes_x86_64             20480  1 aesni_intel
2022-11-23T01:40:19.1584257Z ata_piix               36864  0
2022-11-23T01:40:19.1584515Z crypto_simd            16384  1 aesni_intel
2022-11-23T01:40:19.1584814Z glue_helper            16384  1 aesni_intel
2022-11-23T01:40:19.1585100Z pcc_cpufreq            16384  0
2022-11-23T01:40:19.1585442Z cryptd                 28672  3 crypto_simd,ghash_clmulni_intel,aesni_intel
2022-11-23T01:40:19.1585752Z mousedev               24576  0
2022-11-23T01:40:19.1586031Z libata                266240  1 ata_piix
2022-11-23T01:40:19.1586315Z scsi_mod              245760  1 libata
2022-11-23T01:40:19.1586647Z evdev                  20480  3
2022-11-23T01:40:19.1587147Z psmouse                32768  0
2022-11-23T01:40:19.1587603Z button                 16384  0
2022-11-23T01:40:19.1587842Z ena                   114688  0
2022-11-23T01:40:19.1588099Z xen_blkfront           49152  2
2022-11-23T01:40:19.1588373Z crc32c_intel           24576  0
2022-11-23T01:40:19.1588677Z autofs4                49152  2
2022-11-23T01:40:19.1589131Z + modinfo nvidia
2022-11-23T01:40:19.1589493Z modinfo: ERROR: Module nvidia not found.
2022-11-23T01:40:19.1589928Z + true
2022-11-23T01:40:19.1590179Z + HAS_NVIDIA_DRIVER=0
2022-11-23T01:40:19.1590675Z ++ command -v nvidia-smi
2022-11-23T01:40:19.1590944Z + '[' -x '' ']'
2022-11-23T01:40:19.1591231Z + '[' 0 -eq 0 ']'
2022-11-23T01:40:19.1591598Z + sudo yum groupinstall -y 'Development Tools'
2022-11-23T01:40:19.6868005Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2022-11-23T01:40:20.0215834Z Resolving Dependencies
2022-11-23T01:40:20.0221482Z --> Running transaction check
2022-11-23T01:40:20.0224386Z ---> Package autoconf.noarch 0:2.69-11.amzn2 will be installed
2022-11-23T01:40:20.0487623Z --> Processing Dependency: m4 >= 1.4.14 for package: autoconf-2.69-11.amzn2.noarch
2022-11-23T01:40:20.2939113Z --> Processing Dependency: perl(Data::Dumper) for package: autoconf-2.69-11.amzn2.noarch
2022-11-23T01:40:20.2942253Z ---> Package automake.noarch 0:1.13.4-3.1.amzn2 will be installed
2022-11-23T01:40:20.2997234Z --> Processing Dependency: perl(Thread::Queue) for package: automake-1.13.4-3.1.amzn2.noarch
2022-11-23T01:40:20.3004803Z --> Processing Dependency: perl(TAP::Parser) for package: automake-1.13.4-3.1.amzn2.noarch
2022-11-23T01:40:20.3017882Z ---> Package bison.x86_64 0:3.0.4-6.amzn2.0.2 will be installed
2022-11-23T01:40:20.3161310Z ---> Package byacc.x86_64 0:1.9.20130304-3.amzn2.0.2 will be installed
2022-11-23T01:40:20.3167911Z ---> Package cscope.x86_64 0:15.8-10.amzn2.0.2 will be installed
2022-11-23T01:40:20.3225188Z --> Processing Dependency: emacs-filesystem for package: cscope-15.8-10.amzn2.0.2.x86_64
2022-11-23T01:40:20.3254058Z ---> Package ctags.x86_64 0:5.8-13.amzn2.0.2 will be installed
2022-11-23T01:40:20.3263835Z ---> Package diffstat.x86_64 0:1.57-4.amzn2.0.2 will be installed
2022-11-23T01:40:20.3272621Z ---> Package doxygen.x86_64 1:1.8.5-4.amzn2 will be installed
2022-11-23T01:40:20.3400477Z ---> Package elfutils.x86_64 0:0.176-2.amzn2 will be installed
2022-11-23T01:40:20.3552875Z ---> Package flex.x86_64 0:2.5.37-3.amzn2.0.3 will be installed
2022-11-23T01:40:20.3574717Z ---> Package gcc.x86_64 0:7.3.1-15.amzn2 will be installed
2022-11-23T01:40:20.3781421Z --> Processing Dependency: cpp = 7.3.1-15.amzn2 for package: gcc-7.3.1-15.amzn2.x86_64
2022-11-23T01:40:20.3805744Z --> Processing Dependency: libsanitizer >= 7.3.1-15.amzn2 for package: gcc-7.3.1-15.amzn2.x86_64
2022-11-23T01:40:20.3871742Z --> Processing Dependency: libquadmath >= 7.3.1-15.amzn2 for package: gcc-7.3.1-15.amzn2.x86_64
2022-11-23T01:40:20.3934430Z --> Processing Dependency: libmpx >= 7.3.1-15.amzn2 for package: gcc-7.3.1-15.amzn2.x86_64
2022-11-23T01:40:20.4000890Z --> Processing Dependency: libitm >= 7.3.1-15.amzn2 for package: gcc-7.3.1-15.amzn2.x86_64
2022-11-23T01:40:20.4065431Z --> Processing Dependency: libcilkrts >= 7.3.1-15.amzn2 for package: gcc-7.3.1-15.amzn2.x86_64
2022-11-23T01:40:20.4128598Z --> Processing Dependency: libatomic >= 7.3.1-15.amzn2 for package: gcc-7.3.1-15.amzn2.x86_64
2022-11-23T01:40:20.4193750Z --> Processing Dependency: glibc-devel >= 2.2.90-12 for package: gcc-7.3.1-15.amzn2.x86_64
2022-11-23T01:40:20.4376510Z --> Processing Dependency: libmpfr.so.4()(64bit) for package: gcc-7.3.1-15.amzn2.x86_64
2022-11-23T01:40:20.4402840Z --> Processing Dependency: libmpc.so.3()(64bit) for package: gcc-7.3.1-15.amzn2.x86_64
2022-11-23T01:40:20.4427774Z ---> Package gcc-c++.x86_64 0:7.3.1-15.amzn2 will be installed
2022-11-23T01:40:20.4462329Z ---> Package gcc-gfortran.x86_64 0:7.3.1-15.amzn2 will be installed
2022-11-23T01:40:20.4504200Z --> Processing Dependency: libgfortran.so.4()(64bit) for package: gcc-gfortran-7.3.1-15.amzn2.x86_64
2022-11-23T01:40:20.4576570Z ---> Package indent.x86_64 0:2.2.11-13.amzn2.0.2 will be installed
2022-11-23T01:40:20.4593013Z ---> Package intltool.noarch 0:0.50.2-7.amzn2 will be installed
2022-11-23T01:40:20.4657865Z --> Processing Dependency: perl(XML::Parser) for package: intltool-0.50.2-7.amzn2.noarch
2022-11-23T01:40:20.4676625Z --> Processing Dependency: gettext-devel for package: intltool-0.50.2-7.amzn2.noarch
2022-11-23T01:40:20.4699843Z ---> Package libtool.x86_64 0:2.4.2-22.2.amzn2.0.2 will be installed
2022-11-23T01:40:20.4735255Z ---> Package patch.x86_64 0:2.7.1-12.amzn2.0.2 will be installed
2022-11-23T01:40:20.4783048Z ---> Package patchutils.x86_64 0:0.3.3-4.amzn2.0.1 will be installed
2022-11-23T01:40:20.4813585Z ---> Package rcs.x86_64 0:5.9.0-5.amzn2.0.2 will be installed
2022-11-23T01:40:20.4853201Z ---> Package rpm-build.x86_64 0:4.11.3-48.amzn2.0.2 will be installed
2022-11-23T01:40:20.5136616Z --> Processing Dependency: /usr/bin/gdb-add-index for package: rpm-build-4.11.3-48.amzn2.0.2.x86_64
2022-11-23T01:40:20.5157938Z ---> Package rpm-sign.x86_64 0:4.11.3-48.amzn2.0.2 will be installed
2022-11-23T01:40:20.5188376Z ---> Package subversion.x86_64 0:1.7.14-16.amzn2.0.1 will be installed
2022-11-23T01:40:20.5395325Z --> Processing Dependency: subversion-libs(x86-64) = 1.7.14-16.amzn2.0.1 for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5420457Z --> Processing Dependency: libsvn_wc-1.so.0()(64bit) for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5421792Z --> Processing Dependency: libsvn_subr-1.so.0()(64bit) for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5422994Z --> Processing Dependency: libsvn_repos-1.so.0()(64bit) for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5424235Z --> Processing Dependency: libsvn_ra_svn-1.so.0()(64bit) for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5425530Z --> Processing Dependency: libsvn_ra_neon-1.so.0()(64bit) for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5426820Z --> Processing Dependency: libsvn_ra_local-1.so.0()(64bit) for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5428025Z --> Processing Dependency: libsvn_ra-1.so.0()(64bit) for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5429018Z --> Processing Dependency: libsvn_fs_util-1.so.0()(64bit) for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5429650Z --> Processing Dependency: libsvn_fs_fs-1.so.0()(64bit) for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5430254Z --> Processing Dependency: libsvn_fs_base-1.so.0()(64bit) for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5430872Z --> Processing Dependency: libsvn_fs-1.so.0()(64bit) for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5431504Z --> Processing Dependency: libsvn_diff-1.so.0()(64bit) for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5432139Z --> Processing Dependency: libsvn_delta-1.so.0()(64bit) for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5432744Z --> Processing Dependency: libsvn_client-1.so.0()(64bit) for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5433369Z --> Processing Dependency: libneon.so.27()(64bit) for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5454227Z --> Processing Dependency: libaprutil-1.so.0()(64bit) for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5479571Z --> Processing Dependency: libapr-1.so.0()(64bit) for package: subversion-1.7.14-16.amzn2.0.1.x86_64
2022-11-23T01:40:20.5509398Z ---> Package swig.x86_64 0:3.0.12-11.amzn2.0.3 will be installed
2022-11-23T01:40:20.5535219Z ---> Package system-rpm-config.noarch 0:9.1.0-76.amzn2.0.14 will be installed
2022-11-23T01:40:20.5594287Z --> Processing Dependency: dwz >= 0.4 for package: system-rpm-config-9.1.0-76.amzn2.0.14.noarch
2022-11-23T01:40:20.5614657Z --> Processing Dependency: perl-srpm-macros for package: system-rpm-config-9.1.0-76.amzn2.0.14.noarch
2022-11-23T01:40:20.5630301Z --> Processing Dependency: go-srpm-macros for package: system-rpm-config-9.1.0-76.amzn2.0.14.noarch
2022-11-23T01:40:20.5830425Z ---> Package systemtap.x86_64 0:4.5-1.amzn2.0.1 will be installed
2022-11-23T01:40:20.5845375Z --> Processing Dependency: systemtap-devel = 4.5-1.amzn2.0.1 for package: systemtap-4.5-1.amzn2.0.1.x86_64
2022-11-23T01:40:20.5865196Z --> Processing Dependency: systemtap-client = 4.5-1.amzn2.0.1 for package: systemtap-4.5-1.amzn2.0.1.x86_64
2022-11-23T01:40:20.5881541Z --> Running transaction check
2022-11-23T01:40:20.5884834Z ---> Package apr.x86_64 0:1.7.0-9.amzn2 will be installed
2022-11-23T01:40:20.5992112Z ---> Package apr-util.x86_64 0:1.6.1-5.amzn2.0.2 will be installed
2022-11-23T01:40:20.6039385Z --> Processing Dependency: apr-util-bdb(x86-64) = 1.6.1-5.amzn2.0.2 for package: apr-util-1.6.1-5.amzn2.0.2.x86_64
2022-11-23T01:40:20.6058313Z ---> Package cpp.x86_64 0:7.3.1-15.amzn2 will be installed
2022-11-23T01:40:20.6151929Z ---> Package dwz.x86_64 0:0.11-3.amzn2.0.3 will be installed
2022-11-23T01:40:20.6163328Z ---> Package emacs-filesystem.noarch 1:27.2-4.amzn2.0.1 will be installed
2022-11-23T01:40:20.6164145Z ---> Package gdb.x86_64 0:8.0.1-36.amzn2.0.1 will be installed
2022-11-23T01:40:20.6255301Z ---> Package gettext-devel.x86_64 0:0.19.8.1-3.amzn2 will be installed
2022-11-23T01:40:20.6325144Z --> Processing Dependency: gettext-common-devel = 0.19.8.1-3.amzn2 for package: gettext-devel-0.19.8.1-3.amzn2.x86_64
2022-11-23T01:40:20.6334507Z ---> Package glibc-devel.x86_64 0:2.26-62.amzn2 will be installed
2022-11-23T01:40:20.6481165Z --> Processing Dependency: glibc-headers = 2.26-62.amzn2 for package: glibc-devel-2.26-62.amzn2.x86_64
2022-11-23T01:40:20.6516071Z --> Processing Dependency: glibc-headers for package: glibc-devel-2.26-62.amzn2.x86_64
2022-11-23T01:40:20.6516741Z ---> Package go-srpm-macros.noarch 0:3.0.15-23.amzn2.0.2 will be installed
2022-11-23T01:40:20.6521004Z ---> Package libatomic.x86_64 0:7.3.1-15.amzn2 will be installed
2022-11-23T01:40:20.6537463Z ---> Package libcilkrts.x86_64 0:7.3.1-15.amzn2 will be installed
2022-11-23T01:40:20.6571166Z ---> Package libgfortran.x86_64 0:7.3.1-15.amzn2 will be installed
2022-11-23T01:40:20.6614264Z ---> Package libitm.x86_64 0:7.3.1-15.amzn2 will be installed
2022-11-23T01:40:20.6632376Z ---> Package libmpc.x86_64 0:1.0.1-3.amzn2.0.2 will be installed
2022-11-23T01:40:20.6645999Z ---> Package libmpx.x86_64 0:7.3.1-15.amzn2 will be installed
2022-11-23T01:40:20.6662936Z ---> Package libquadmath.x86_64 0:7.3.1-15.amzn2 will be installed
2022-11-23T01:40:20.6695067Z ---> Package libsanitizer.x86_64 0:7.3.1-15.amzn2 will be installed
2022-11-23T01:40:20.6749959Z ---> Package m4.x86_64 0:1.4.16-10.amzn2.0.2 will be installed
2022-11-23T01:40:20.6765419Z ---> Package mpfr.x86_64 0:3.1.1-4.amzn2.0.2 will be installed
2022-11-23T01:40:20.6791647Z ---> Package neon.x86_64 0:0.30.0-3.amzn2.0.2 will be installed
2022-11-23T01:40:20.6883985Z --> Processing Dependency: libgnutls.so.28(GNUTLS_2_12)(64bit) for package: neon-0.30.0-3.amzn2.0.2.x86_64
2022-11-23T01:40:20.6928837Z --> Processing Dependency: libgnutls.so.28(GNUTLS_1_4)(64bit) for package: neon-0.30.0-3.amzn2.0.2.x86_64
2022-11-23T01:40:20.6929491Z --> Processing Dependency: libproxy.so.1()(64bit) for package: neon-0.30.0-3.amzn2.0.2.x86_64
2022-11-23T01:40:20.6954410Z --> Processing Dependency: libpakchois.so.0()(64bit) for package: neon-0.30.0-3.amzn2.0.2.x86_64
2022-11-23T01:40:20.6974922Z --> Processing Dependency: libgnutls.so.28()(64bit) for package: neon-0.30.0-3.amzn2.0.2.x86_64
2022-11-23T01:40:20.6982509Z ---> Package perl-Data-Dumper.x86_64 0:2.145-3.amzn2.0.2 will be installed
2022-11-23T01:40:20.7043190Z ---> Package perl-Test-Harness.noarch 0:3.28-3.amzn2 will be installed
2022-11-23T01:40:20.7149591Z ---> Package perl-Thread-Queue.noarch 0:3.02-2.amzn2 will be installed
2022-11-23T01:40:20.7163158Z ---> Package perl-XML-Parser.x86_64 0:2.41-10.amzn2.0.2 will be installed
2022-11-23T01:40:20.7182917Z ---> Package perl-srpm-macros.noarch 0:1-8.amzn2.0.1 will be installed
2022-11-23T01:40:20.7183466Z ---> Package subversion-libs.x86_64 0:1.7.14-16.amzn2.0.1 will be installed
2022-11-23T01:40:20.7218641Z ---> Package systemtap-client.x86_64 0:4.5-1.amzn2.0.1 will be installed
2022-11-23T01:40:20.7460252Z --> Processing Dependency: mokutil for package: systemtap-client-4.5-1.amzn2.0.1.x86_64
2022-11-23T01:40:20.7475876Z --> Processing Dependency: libavahi-common.so.3()(64bit) for package: systemtap-client-4.5-1.amzn2.0.1.x86_64
2022-11-23T01:40:20.7508324Z --> Processing Dependency: libavahi-client.so.3()(64bit) for package: systemtap-client-4.5-1.amzn2.0.1.x86_64
2022-11-23T01:40:20.7508988Z ---> Package systemtap-devel.x86_64 0:4.5-1.amzn2.0.1 will be installed
2022-11-23T01:40:20.7649705Z --> Processing Dependency: kernel-devel-uname-r for package: systemtap-devel-4.5-1.amzn2.0.1.x86_64
2022-11-23T01:40:20.8783509Z --> Running transaction check
2022-11-23T01:40:20.8784091Z ---> Package apr-util-bdb.x86_64 0:1.6.1-5.amzn2.0.2 will be installed
2022-11-23T01:40:20.8795473Z ---> Package avahi-libs.x86_64 0:0.6.31-20.amzn2 will be installed
2022-11-23T01:40:20.8828814Z ---> Package gettext-common-devel.noarch 0:0.19.8.1-3.amzn2 will be installed
2022-11-23T01:40:20.8829689Z ---> Package glibc-headers.x86_64 0:2.26-62.amzn2 will be installed
2022-11-23T01:40:20.8919581Z --> Processing Dependency: kernel-headers >= 2.2.1 for package: glibc-headers-2.26-62.amzn2.x86_64
2022-11-23T01:40:21.0128632Z --> Processing Dependency: kernel-headers for package: glibc-headers-2.26-62.amzn2.x86_64
2022-11-23T01:40:21.0129249Z ---> Package gnutls.x86_64 0:3.3.29-9.amzn2.0.1 will be installed
2022-11-23T01:40:21.0208934Z --> Processing Dependency: trousers >= 0.3.11.2 for package: gnutls-3.3.29-9.amzn2.0.1.x86_64
2022-11-23T01:40:21.0242017Z ---> Package kernel-devel.x86_64 0:4.14.296-222.539.amzn2 will be installed
2022-11-23T01:40:21.0274747Z --> Processing Dependency: elfutils-libelf-devel for package: kernel-devel-4.14.296-222.539.amzn2.x86_64
2022-11-23T01:40:21.0300026Z ---> Package libproxy.x86_64 0:0.4.11-10.amzn2.0.3 will be installed
2022-11-23T01:40:21.0334087Z --> Processing Dependency: libmodman.so.1()(64bit) for package: libproxy-0.4.11-10.amzn2.0.3.x86_64
2022-11-23T01:40:21.0356722Z ---> Package mokutil.x86_64 1:0.3.0-10.amzn2.0.1 will be installed
2022-11-23T01:40:21.0417959Z --> Processing Dependency: libefivar.so.1(libefivar.so.0)(64bit) for package: 1:mokutil-0.3.0-10.amzn2.0.1.x86_64
2022-11-23T01:40:21.0443124Z --> Processing Dependency: libefivar.so.1(LIBEFIVAR_0.24)(64bit) for package: 1:mokutil-0.3.0-10.amzn2.0.1.x86_64
2022-11-23T01:40:21.0443865Z --> Processing Dependency: libefivar.so.1()(64bit) for package: 1:mokutil-0.3.0-10.amzn2.0.1.x86_64
2022-11-23T01:40:21.0444395Z ---> Package pakchois.x86_64 0:0.4-10.amzn2.0.2 will be installed
2022-11-23T01:40:21.0460908Z --> Running transaction check
2022-11-23T01:40:21.0461406Z ---> Package efivar-libs.x86_64 0:31-4.amzn2.0.4 will be installed
2022-11-23T01:40:21.0481897Z ---> Package elfutils-libelf-devel.x86_64 0:0.176-2.amzn2 will be installed
2022-11-23T01:40:21.0496728Z --> Processing Dependency: pkgconfig(zlib) for package: elfutils-libelf-devel-0.176-2.amzn2.x86_64
2022-11-23T01:40:21.0533902Z ---> Package kernel-headers.x86_64 0:4.14.296-222.539.amzn2 will be installed
2022-11-23T01:40:21.0534453Z ---> Package libmodman.x86_64 0:2.0.1-8.amzn2.0.2 will be installed
2022-11-23T01:40:21.0555635Z ---> Package trousers.x86_64 0:0.3.14-2.amzn2.0.2 will be installed
2022-11-23T01:40:21.0627628Z --> Running transaction check
2022-11-23T01:40:21.0628218Z ---> Package zlib-devel.x86_64 0:1.2.7-19.amzn2.0.2 will be installed
2022-11-23T01:40:21.3760821Z --> Finished Dependency Resolution
2022-11-23T01:40:21.4739309Z 
2022-11-23T01:40:21.4739856Z Dependencies Resolved
2022-11-23T01:40:21.4867747Z 
2022-11-23T01:40:21.4868353Z ================================================================================
2022-11-23T01:40:21.4868852Z  Package                 Arch     Version                    Repository    Size
2022-11-23T01:40:21.4869549Z ================================================================================
2022-11-23T01:40:21.4870217Z Installing for group install "Development Tools":
2022-11-23T01:40:21.4871466Z  autoconf                noarch   2.69-11.amzn2              amzn2-core   701 k
2022-11-23T01:40:21.4872152Z  automake                noarch   1.13.4-3.1.amzn2           amzn2-core   679 k
2022-11-23T01:40:21.4872600Z  bison                   x86_64   3.0.4-6.amzn2.0.2          amzn2-core   674 k
2022-11-23T01:40:21.4873062Z  byacc                   x86_64   1.9.20130304-3.amzn2.0.2   amzn2-core    66 k
2022-11-23T01:40:21.4873508Z  cscope                  x86_64   15.8-10.amzn2.0.2          amzn2-core   204 k
2022-11-23T01:40:21.4873914Z  ctags                   x86_64   5.8-13.amzn2.0.2           amzn2-core   157 k
2022-11-23T01:40:21.4874727Z  diffstat                x86_64   1.57-4.amzn2.0.2           amzn2-core    35 k
2022-11-23T01:40:21.4875179Z  doxygen                 x86_64   1:1.8.5-4.amzn2            amzn2-core   3.5 M
2022-11-23T01:40:21.4875611Z  elfutils                x86_64   0.176-2.amzn2              amzn2-core   307 k
2022-11-23T01:40:21.4876146Z  flex                    x86_64   2.5.37-3.amzn2.0.3         amzn2-core   291 k
2022-11-23T01:40:21.4876510Z  gcc                     x86_64   7.3.1-15.amzn2             amzn2-core    22 M
2022-11-23T01:40:21.4876999Z  gcc-c++                 x86_64   7.3.1-15.amzn2             amzn2-core    13 M
2022-11-23T01:40:21.4877465Z  gcc-gfortran            x86_64   7.3.1-15.amzn2             amzn2-core    11 M
2022-11-23T01:40:21.4877908Z  indent                  x86_64   2.2.11-13.amzn2.0.2        amzn2-core   150 k
2022-11-23T01:40:21.4878337Z  intltool                noarch   0.50.2-7.amzn2             amzn2-core    59 k
2022-11-23T01:40:21.4878779Z  libtool                 x86_64   2.4.2-22.2.amzn2.0.2       amzn2-core   588 k
2022-11-23T01:40:21.4879204Z  patch                   x86_64   2.7.1-12.amzn2.0.2         amzn2-core   110 k
2022-11-23T01:40:21.4879549Z  patchutils              x86_64   0.3.3-4.amzn2.0.1          amzn2-core   104 k
2022-11-23T01:40:21.4879984Z  rcs                     x86_64   5.9.0-5.amzn2.0.2          amzn2-core   231 k
2022-11-23T01:40:21.4880421Z  rpm-build               x86_64   4.11.3-48.amzn2.0.2        amzn2-core   150 k
2022-11-23T01:40:21.4880861Z  rpm-sign                x86_64   4.11.3-48.amzn2.0.2        amzn2-core    50 k
2022-11-23T01:40:21.4881281Z  subversion              x86_64   1.7.14-16.amzn2.0.1        amzn2-core   1.0 M
2022-11-23T01:40:21.4881717Z  swig                    x86_64   3.0.12-11.amzn2.0.3        amzn2-core   1.4 M
2022-11-23T01:40:21.4882167Z  system-rpm-config       noarch   9.1.0-76.amzn2.0.14        amzn2-core    90 k
2022-11-23T01:40:21.4882609Z  systemtap               x86_64   4.5-1.amzn2.0.1            amzn2-core    12 k
2022-11-23T01:40:21.4882980Z Installing for dependencies:
2022-11-23T01:40:21.4883404Z  apr                     x86_64   1.7.0-9.amzn2              amzn2-core   122 k
2022-11-23T01:40:21.4883842Z  apr-util                x86_64   1.6.1-5.amzn2.0.2          amzn2-core    99 k
2022-11-23T01:40:21.4884267Z  apr-util-bdb            x86_64   1.6.1-5.amzn2.0.2          amzn2-core    19 k
2022-11-23T01:40:21.4884730Z  avahi-libs              x86_64   0.6.31-20.amzn2            amzn2-core    61 k
2022-11-23T01:40:21.4885165Z  cpp                     x86_64   7.3.1-15.amzn2             amzn2-core   9.2 M
2022-11-23T01:40:21.4885590Z  dwz                     x86_64   0.11-3.amzn2.0.3           amzn2-core    98 k
2022-11-23T01:40:21.4886006Z  efivar-libs             x86_64   31-4.amzn2.0.4             amzn2-core    68 k
2022-11-23T01:40:21.4886468Z  elfutils-libelf-devel   x86_64   0.176-2.amzn2              amzn2-core    40 k
2022-11-23T01:40:21.4886948Z  emacs-filesystem        noarch   1:27.2-4.amzn2.0.1         amzn2-core    67 k
2022-11-23T01:40:21.4887374Z  gdb                     x86_64   8.0.1-36.amzn2.0.1         amzn2-core   3.1 M
2022-11-23T01:40:21.4887832Z  gettext-common-devel    noarch   0.19.8.1-3.amzn2           amzn2-core   410 k
2022-11-23T01:40:21.4888305Z  gettext-devel           x86_64   0.19.8.1-3.amzn2           amzn2-core   320 k
2022-11-23T01:40:21.4888743Z  glibc-devel             x86_64   2.26-62.amzn2              amzn2-core   995 k
2022-11-23T01:40:21.4889191Z  glibc-headers           x86_64   2.26-62.amzn2              amzn2-core   516 k
2022-11-23T01:40:21.4889636Z  gnutls                  x86_64   3.3.29-9.amzn2.0.1         amzn2-core   661 k
2022-11-23T01:40:21.4890092Z  go-srpm-macros          noarch   3.0.15-23.amzn2.0.2        amzn2-core    23 k
2022-11-23T01:40:21.4890548Z  kernel-devel            x86_64   4.14.296-222.539.amzn2     amzn2-core    13 M
2022-11-23T01:40:21.4891011Z  kernel-headers          x86_64   4.14.296-222.539.amzn2     amzn2-core   1.2 M
2022-11-23T01:40:21.4891536Z  libatomic               x86_64   7.3.1-15.amzn2             amzn2-core    46 k
2022-11-23T01:40:21.4891993Z  libcilkrts              x86_64   7.3.1-15.amzn2             amzn2-core    85 k
2022-11-23T01:40:21.4892432Z  libgfortran             x86_64   7.3.1-15.amzn2             amzn2-core   536 k
2022-11-23T01:40:21.4892923Z  libitm                  x86_64   7.3.1-15.amzn2             amzn2-core    85 k
2022-11-23T01:40:21.4893664Z  libmodman               x86_64   2.0.1-8.amzn2.0.2          amzn2-core    29 k
2022-11-23T01:40:21.4894328Z  libmpc                  x86_64   1.0.1-3.amzn2.0.2          amzn2-core    52 k
2022-11-23T01:40:21.4895039Z  libmpx                  x86_64   7.3.1-15.amzn2             amzn2-core    51 k
2022-11-23T01:40:21.4895800Z  libproxy                x86_64   0.4.11-10.amzn2.0.3        amzn2-core    61 k
2022-11-23T01:40:21.4896968Z  libquadmath             x86_64   7.3.1-15.amzn2             amzn2-core   189 k
2022-11-23T01:40:21.4897877Z  libsanitizer            x86_64   7.3.1-15.amzn2             amzn2-core   642 k
2022-11-23T01:40:21.4898451Z  m4                      x86_64   1.4.16-10.amzn2.0.2        amzn2-core   256 k
2022-11-23T01:40:21.4898887Z  mokutil                 x86_64   1:0.3.0-10.amzn2.0.1       amzn2-core    39 k
2022-11-23T01:40:21.4899305Z  mpfr                    x86_64   3.1.1-4.amzn2.0.2          amzn2-core   208 k
2022-11-23T01:40:21.4899746Z  neon                    x86_64   0.30.0-3.amzn2.0.2         amzn2-core   166 k
2022-11-23T01:40:21.4900186Z  pakchois                x86_64   0.4-10.amzn2.0.2           amzn2-core    14 k
2022-11-23T01:40:21.4900628Z  perl-Data-Dumper        x86_64   2.145-3.amzn2.0.2          amzn2-core    48 k
2022-11-23T01:40:21.4901110Z  perl-Test-Harness       noarch   3.28-3.amzn2               amzn2-core   302 k
2022-11-23T01:40:21.4901582Z  perl-Thread-Queue       noarch   3.02-2.amzn2               amzn2-core    17 k
2022-11-23T01:40:21.4902061Z  perl-XML-Parser         x86_64   2.41-10.amzn2.0.2          amzn2-core   223 k
2022-11-23T01:40:21.4902514Z  perl-srpm-macros        noarch   1-8.amzn2.0.1              amzn2-core   4.7 k
2022-11-23T01:40:21.4902981Z  subversion-libs         x86_64   1.7.14-16.amzn2.0.1        amzn2-core   912 k
2022-11-23T01:40:21.4903446Z  systemtap-client        x86_64   4.5-1.amzn2.0.1            amzn2-core   3.7 M
2022-11-23T01:40:21.4903892Z  systemtap-devel         x86_64   4.5-1.amzn2.0.1            amzn2-core   2.3 M
2022-11-23T01:40:21.4904344Z  trousers                x86_64   0.3.14-2.amzn2.0.2         amzn2-core   294 k
2022-11-23T01:40:21.4904790Z  zlib-devel              x86_64   1.2.7-19.amzn2.0.2         amzn2-core    50 k
2022-11-23T01:40:21.4905006Z 
2022-11-23T01:40:21.4905122Z Transaction Summary
2022-11-23T01:40:21.4905395Z ================================================================================
2022-11-23T01:40:21.4905721Z Install  25 Packages (+43 Dependent packages)
2022-11-23T01:40:21.4905919Z 
2022-11-23T01:40:21.4906080Z Total download size: 96 M
2022-11-23T01:40:21.4906331Z Installed size: 303 M
2022-11-23T01:40:21.4906609Z Downloading packages:
2022-11-23T01:40:21.4934728Z Delta RPMs disabled because /usr/bin/applydeltarpm not installed.
2022-11-23T01:40:22.8210961Z --------------------------------------------------------------------------------
2022-11-23T01:40:22.8211558Z Total                                               72 MB/s |  96 MB  00:01     
2022-11-23T01:40:22.9381518Z Running transaction check
2022-11-23T01:40:23.0247539Z Running transaction test
2022-11-23T01:40:25.4952929Z Transaction test succeeded
2022-11-23T01:40:25.4955600Z Running transaction
2022-11-23T01:40:30.9847166Z   Installing : mpfr-3.1.1-4.amzn2.0.2.x86_64                               1/68 
2022-11-23T01:40:33.4193954Z   Installing : libmpc-1.0.1-3.amzn2.0.2.x86_64                             2/68 
2022-11-23T01:40:35.8795223Z   Installing : m4-1.4.16-10.amzn2.0.2.x86_64                               3/68 
2022-11-23T01:40:38.3407606Z   Installing : apr-1.7.0-9.amzn2.x86_64                                    4/68 
2022-11-23T01:40:40.7938452Z   Installing : apr-util-bdb-1.6.1-5.amzn2.0.2.x86_64                       5/68 
2022-11-23T01:40:43.2618302Z   Installing : apr-util-1.6.1-5.amzn2.0.2.x86_64                           6/68 
2022-11-23T01:40:43.8539678Z   Installing : avahi-libs-0.6.31-20.amzn2.x86_64                           7/68 
2022-11-23T01:40:43.9083139Z   Installing : libquadmath-7.3.1-15.amzn2.x86_64                           8/68 
2022-11-23T01:40:43.9408913Z   Installing : patch-2.7.1-12.amzn2.0.2.x86_64                             9/68 
2022-11-23T01:40:44.0381273Z   Installing : perl-Thread-Queue-3.02-2.amzn2.noarch                      10/68 
2022-11-23T01:40:45.2425276Z   Installing : libgfortran-7.3.1-15.amzn2.x86_64                          11/68 
2022-11-23T01:40:45.2920385Z   Installing : cpp-7.3.1-15.amzn2.x86_64                                  12/68 
2022-11-23T01:40:45.3399362Z   Installing : libmodman-2.0.1-8.amzn2.0.2.x86_64                         13/68 
2022-11-23T01:40:45.4184844Z   Installing : libproxy-0.4.11-10.amzn2.0.3.x86_64                        14/68 
2022-11-23T01:40:45.4935754Z   Installing : perl-XML-Parser-2.41-10.amzn2.0.2.x86_64                   15/68 
2022-11-23T01:40:45.6240838Z   Installing : elfutils-0.176-2.amzn2.x86_64                              16/68 
2022-11-23T01:40:45.6704936Z   Installing : libsanitizer-7.3.1-15.amzn2.x86_64                         17/68 
2022-11-23T01:40:45.7074773Z   Installing : 1:emacs-filesystem-27.2-4.amzn2.0.1.noarch                 18/68 
2022-11-23T01:40:45.7585269Z   Installing : efivar-libs-31-4.amzn2.0.4.x86_64                          19/68 
2022-11-23T01:40:45.8003381Z   Installing : 1:mokutil-0.3.0-10.amzn2.0.1.x86_64                        20/68 
2022-11-23T01:40:45.8937927Z   Installing : gettext-common-devel-0.19.8.1-3.amzn2.noarch               21/68 
2022-11-23T01:40:45.9627092Z   Installing : gettext-devel-0.19.8.1-3.amzn2.x86_64                      22/68 
2022-11-23T01:40:46.0719953Z   Installing : dwz-0.11-3.amzn2.0.3.x86_64                                23/68 
2022-11-23T01:40:46.2650154Z   Installing : trousers-0.3.14-2.amzn2.0.2.x86_64                         24/68 
2022-11-23T01:40:46.3159496Z   Installing : gnutls-3.3.29-9.amzn2.0.1.x86_64                           25/68 
2022-11-23T01:40:46.7632412Z   Installing : libitm-7.3.1-15.amzn2.x86_64                               26/68 
2022-11-23T01:40:46.7987086Z   Installing : gdb-8.0.1-36.amzn2.0.1.x86_64                              27/68 
2022-11-23T01:40:46.8355413Z   Installing : libmpx-7.3.1-15.amzn2.x86_64                               28/68 
2022-11-23T01:40:46.8610703Z   Installing : perl-srpm-macros-1-8.amzn2.0.1.noarch                      29/68 
2022-11-23T01:40:46.9001976Z   Installing : go-srpm-macros-3.0.15-23.amzn2.0.2.noarch                  30/68 
2022-11-23T01:40:46.9377680Z   Installing : system-rpm-config-9.1.0-76.amzn2.0.14.noarch               31/68 
2022-11-23T01:40:47.0453125Z   Installing : perl-Data-Dumper-2.145-3.amzn2.0.2.x86_64                  32/68 
2022-11-23T01:40:47.1481858Z   Installing : autoconf-2.69-11.amzn2.noarch                              33/68 
2022-11-23T01:40:47.2754932Z   Installing : perl-Test-Harness-3.28-3.amzn2.noarch                      34/68 
2022-11-23T01:40:47.3281330Z   Installing : automake-1.13.4-3.1.amzn2.noarch                           35/68 
2022-11-23T01:40:47.3588455Z   Installing : zlib-devel-1.2.7-19.amzn2.0.2.x86_64                       36/68 
2022-11-23T01:40:47.3883239Z   Installing : elfutils-libelf-devel-0.176-2.amzn2.x86_64                 37/68 
2022-11-23T01:40:47.7245871Z   Installing : libatomic-7.3.1-15.amzn2.x86_64                            38/68 
2022-11-23T01:40:47.9224508Z   Installing : kernel-headers-4.14.296-222.539.amzn2.x86_64               39/68 
2022-11-23T01:40:48.0737800Z   Installing : glibc-headers-2.26-62.amzn2.x86_64                         40/68 
2022-11-23T01:40:48.1257260Z   Installing : glibc-devel-2.26-62.amzn2.x86_64                           41/68 
2022-11-23T01:40:50.3526056Z   Installing : libcilkrts-7.3.1-15.amzn2.x86_64                           42/68 
2022-11-23T01:40:54.7143432Z   Installing : gcc-7.3.1-15.amzn2.x86_64                                  43/68 
2022-11-23T01:41:07.1823413Z   Installing : kernel-devel-4.14.296-222.539.amzn2.x86_64                 44/68 
2022-11-23T01:41:07.8600161Z   Installing : systemtap-devel-4.5-1.amzn2.0.1.x86_64                     45/68 
2022-11-23T01:41:07.9277382Z   Installing : systemtap-client-4.5-1.amzn2.0.1.x86_64                    46/68 
2022-11-23T01:41:07.9965013Z   Installing : pakchois-0.4-10.amzn2.0.2.x86_64                           47/68 
2022-11-23T01:41:08.1556965Z   Installing : neon-0.30.0-3.amzn2.0.2.x86_64                             48/68 
2022-11-23T01:41:08.3611551Z   Installing : subversion-libs-1.7.14-16.amzn2.0.1.x86_64                 49/68 
2022-11-23T01:41:08.4851379Z   Installing : subversion-1.7.14-16.amzn2.0.1.x86_64                      50/68 
2022-11-23T01:41:09.8556788Z   Installing : systemtap-4.5-1.amzn2.0.1.x86_64                           51/68 
2022-11-23T01:41:11.6525261Z   Installing : gcc-gfortran-7.3.1-15.amzn2.x86_64                         52/68 
2022-11-23T01:41:11.7879476Z   Installing : gcc-c++-7.3.1-15.amzn2.x86_64                              53/68 
2022-11-23T01:41:11.8388551Z   Installing : libtool-2.4.2-22.2.amzn2.0.2.x86_64                        54/68 
2022-11-23T01:41:11.8971887Z   Installing : intltool-0.50.2-7.amzn2.noarch                             55/68 
2022-11-23T01:41:11.9694533Z   Installing : rpm-build-4.11.3-48.amzn2.0.2.x86_64                       56/68 
2022-11-23T01:41:12.0504595Z   Installing : cscope-15.8-10.amzn2.0.2.x86_64                            57/68 
2022-11-23T01:41:12.1742855Z   Installing : flex-2.5.37-3.amzn2.0.3.x86_64                             58/68 
2022-11-23T01:41:12.2549967Z   Installing : bison-3.0.4-6.amzn2.0.2.x86_64                             59/68 
2022-11-23T01:41:12.3142727Z   Installing : rcs-5.9.0-5.amzn2.0.2.x86_64                               60/68 
2022-11-23T01:41:12.3621109Z   Installing : ctags-5.8-13.amzn2.0.2.x86_64                              61/68 
2022-11-23T01:41:12.4246472Z   Installing : indent-2.2.11-13.amzn2.0.2.x86_64                          62/68 
2022-11-23T01:41:13.1924222Z   Installing : patchutils-0.3.3-4.amzn2.0.1.x86_64                        63/68 
2022-11-23T01:41:13.2502923Z   Installing : 1:doxygen-1.8.5-4.amzn2.x86_64                             64/68 
2022-11-23T01:41:13.2868580Z   Installing : diffstat-1.57-4.amzn2.0.2.x86_64                           65/68 
2022-11-23T01:41:13.6486713Z   Installing : byacc-1.9.20130304-3.amzn2.0.2.x86_64                      66/68 
2022-11-23T01:41:13.7044046Z   Installing : swig-3.0.12-11.amzn2.0.3.x86_64                            67/68 
2022-11-23T01:41:13.7894559Z   Installing : rpm-sign-4.11.3-48.amzn2.0.2.x86_64                        68/68 
2022-11-23T01:41:13.8090034Z   Verifying  : elfutils-libelf-devel-0.176-2.amzn2.x86_64                  1/68 
2022-11-23T01:41:13.8238219Z   Verifying  : perl-Thread-Queue-3.02-2.amzn2.noarch                       2/68 
2022-11-23T01:41:13.8390610Z   Verifying  : gettext-devel-0.19.8.1-3.amzn2.x86_64                       3/68 
2022-11-23T01:41:13.8559486Z   Verifying  : patch-2.7.1-12.amzn2.0.2.x86_64                             4/68 
2022-11-23T01:41:13.8799820Z   Verifying  : kernel-devel-4.14.296-222.539.amzn2.x86_64                  5/68 
2022-11-23T01:41:13.8954596Z   Verifying  : flex-2.5.37-3.amzn2.0.3.x86_64                              6/68 
2022-11-23T01:41:13.9118474Z   Verifying  : pakchois-0.4-10.amzn2.0.2.x86_64                            7/68 
2022-11-23T01:41:13.9275022Z   Verifying  : rpm-sign-4.11.3-48.amzn2.0.2.x86_64                         8/68 
2022-11-23T01:41:13.9429890Z   Verifying  : glibc-devel-2.26-62.amzn2.x86_64                            9/68 
2022-11-23T01:41:13.9566589Z   Verifying  : gcc-gfortran-7.3.1-15.amzn2.x86_64                         10/68 
2022-11-23T01:41:13.9724372Z   Verifying  : swig-3.0.12-11.amzn2.0.3.x86_64                            11/68 
2022-11-23T01:41:13.9869196Z   Verifying  : byacc-1.9.20130304-3.amzn2.0.2.x86_64                      12/68 
2022-11-23T01:41:14.0003982Z   Verifying  : libmpc-1.0.1-3.amzn2.0.2.x86_64                            13/68 
2022-11-23T01:41:14.0213893Z   Verifying  : libcilkrts-7.3.1-15.amzn2.x86_64                           14/68 
2022-11-23T01:41:14.0347871Z   Verifying  : kernel-headers-4.14.296-222.539.amzn2.x86_64               15/68 
2022-11-23T01:41:14.0483782Z   Verifying  : libproxy-0.4.11-10.amzn2.0.3.x86_64                        16/68 
2022-11-23T01:41:14.0678612Z   Verifying  : cscope-15.8-10.amzn2.0.2.x86_64                            17/68 
2022-11-23T01:41:14.0820627Z   Verifying  : diffstat-1.57-4.amzn2.0.2.x86_64                           18/68 
2022-11-23T01:41:14.0952174Z   Verifying  : 1:doxygen-1.8.5-4.amzn2.x86_64                             19/68 
2022-11-23T01:41:14.1090662Z   Verifying  : gcc-c++-7.3.1-15.amzn2.x86_64                              20/68 
2022-11-23T01:41:14.1241715Z   Verifying  : libatomic-7.3.1-15.amzn2.x86_64                            21/68 
2022-11-23T01:41:14.1402281Z   Verifying  : system-rpm-config-9.1.0-76.amzn2.0.14.noarch               22/68 
2022-11-23T01:41:14.1571675Z   Verifying  : systemtap-devel-4.5-1.amzn2.0.1.x86_64                     23/68 
2022-11-23T01:41:14.1813777Z   Verifying  : zlib-devel-1.2.7-19.amzn2.0.2.x86_64                       24/68 
2022-11-23T01:41:14.1970478Z   Verifying  : glibc-headers-2.26-62.amzn2.x86_64                         25/68 
2022-11-23T01:41:14.2124108Z   Verifying  : perl-Test-Harness-3.28-3.amzn2.noarch                      26/68 
2022-11-23T01:41:14.2269338Z   Verifying  : autoconf-2.69-11.amzn2.noarch                              27/68 
2022-11-23T01:41:14.2413124Z   Verifying  : libquadmath-7.3.1-15.amzn2.x86_64                          28/68 
2022-11-23T01:41:14.2555332Z   Verifying  : intltool-0.50.2-7.amzn2.noarch                             29/68 
2022-11-23T01:41:14.2707887Z   Verifying  : apr-util-1.6.1-5.amzn2.0.2.x86_64                          30/68 
2022-11-23T01:41:14.2833869Z   Verifying  : cpp-7.3.1-15.amzn2.x86_64                                  31/68 
2022-11-23T01:41:14.2993681Z   Verifying  : rpm-build-4.11.3-48.amzn2.0.2.x86_64                       32/68 
2022-11-23T01:41:14.3122317Z   Verifying  : go-srpm-macros-3.0.15-23.amzn2.0.2.noarch                  33/68 
2022-11-23T01:41:14.3265078Z   Verifying  : perl-Data-Dumper-2.145-3.amzn2.0.2.x86_64                  34/68 
2022-11-23T01:41:14.3387278Z   Verifying  : perl-srpm-macros-1-8.amzn2.0.1.noarch                      35/68 
2022-11-23T01:41:14.3516368Z   Verifying  : gnutls-3.3.29-9.amzn2.0.1.x86_64                           36/68 
2022-11-23T01:41:14.3666650Z   Verifying  : subversion-libs-1.7.14-16.amzn2.0.1.x86_64                 37/68 
2022-11-23T01:41:14.3816667Z   Verifying  : automake-1.13.4-3.1.amzn2.noarch                           38/68 
2022-11-23T01:41:14.3957480Z   Verifying  : apr-util-bdb-1.6.1-5.amzn2.0.2.x86_64                      39/68 
2022-11-23T01:41:14.4094598Z   Verifying  : libmpx-7.3.1-15.amzn2.x86_64                               40/68 
2022-11-23T01:41:14.4234679Z   Verifying  : avahi-libs-0.6.31-20.amzn2.x86_64                          41/68 
2022-11-23T01:41:14.4464881Z   Verifying  : bison-3.0.4-6.amzn2.0.2.x86_64                             42/68 
2022-11-23T01:41:14.4627793Z   Verifying  : libgfortran-7.3.1-15.amzn2.x86_64                          43/68 
2022-11-23T01:41:14.4778120Z   Verifying  : gdb-8.0.1-36.amzn2.0.1.x86_64                              44/68 
2022-11-23T01:41:14.4912083Z   Verifying  : patchutils-0.3.3-4.amzn2.0.1.x86_64                        45/68 
2022-11-23T01:41:14.5035617Z   Verifying  : libitm-7.3.1-15.amzn2.x86_64                               46/68 
2022-11-23T01:41:14.5178679Z   Verifying  : libtool-2.4.2-22.2.amzn2.0.2.x86_64                        47/68 
2022-11-23T01:41:14.5317378Z   Verifying  : gcc-7.3.1-15.amzn2.x86_64                                  48/68 
2022-11-23T01:41:14.5446237Z   Verifying  : indent-2.2.11-13.amzn2.0.2.x86_64                          49/68 
2022-11-23T01:41:14.5570532Z   Verifying  : subversion-1.7.14-16.amzn2.0.1.x86_64                      50/68 
2022-11-23T01:41:14.5705860Z   Verifying  : apr-1.7.0-9.amzn2.x86_64                                   51/68 
2022-11-23T01:41:14.5834444Z   Verifying  : ctags-5.8-13.amzn2.0.2.x86_64                              52/68 
2022-11-23T01:41:14.5962050Z   Verifying  : 1:mokutil-0.3.0-10.amzn2.0.1.x86_64                        53/68 
2022-11-23T01:41:14.6094102Z   Verifying  : mpfr-3.1.1-4.amzn2.0.2.x86_64                              54/68 
2022-11-23T01:41:14.6222660Z   Verifying  : trousers-0.3.14-2.amzn2.0.2.x86_64                         55/68 
2022-11-23T01:41:14.6354480Z   Verifying  : neon-0.30.0-3.amzn2.0.2.x86_64                             56/68 
2022-11-23T01:41:14.6494079Z   Verifying  : systemtap-4.5-1.amzn2.0.1.x86_64                           57/68 
2022-11-23T01:41:14.6626893Z   Verifying  : dwz-0.11-3.amzn2.0.3.x86_64                                58/68 
2022-11-23T01:41:14.6745622Z   Verifying  : gettext-common-devel-0.19.8.1-3.amzn2.noarch               59/68 
2022-11-23T01:41:14.6878999Z   Verifying  : systemtap-client-4.5-1.amzn2.0.1.x86_64                    60/68 
2022-11-23T01:41:14.7012155Z   Verifying  : efivar-libs-31-4.amzn2.0.4.x86_64                          61/68 
2022-11-23T01:41:14.7627664Z   Verifying  : rcs-5.9.0-5.amzn2.0.2.x86_64                               62/68 
2022-11-23T01:41:14.7774630Z   Verifying  : 1:emacs-filesystem-27.2-4.amzn2.0.1.noarch                 63/68 
2022-11-23T01:41:14.7905819Z   Verifying  : libsanitizer-7.3.1-15.amzn2.x86_64                         64/68 
2022-11-23T01:41:14.8064231Z   Verifying  : elfutils-0.176-2.amzn2.x86_64                              65/68 
2022-11-23T01:41:14.8187790Z   Verifying  : m4-1.4.16-10.amzn2.0.2.x86_64                              66/68 
2022-11-23T01:41:14.8316064Z   Verifying  : perl-XML-Parser-2.41-10.amzn2.0.2.x86_64                   67/68 
2022-11-23T01:41:14.9267404Z   Verifying  : libmodman-2.0.1-8.amzn2.0.2.x86_64                         68/68 
2022-11-23T01:41:14.9267719Z 
2022-11-23T01:41:14.9267832Z Installed:
2022-11-23T01:41:14.9268212Z   autoconf.noarch 0:2.69-11.amzn2                                               
2022-11-23T01:41:14.9268690Z   automake.noarch 0:1.13.4-3.1.amzn2                                            
2022-11-23T01:41:14.9278493Z   bison.x86_64 0:3.0.4-6.amzn2.0.2                                              
2022-11-23T01:41:14.9278972Z   byacc.x86_64 0:1.9.20130304-3.amzn2.0.2                                       
2022-11-23T01:41:14.9279415Z   cscope.x86_64 0:15.8-10.amzn2.0.2                                             
2022-11-23T01:41:14.9279849Z   ctags.x86_64 0:5.8-13.amzn2.0.2                                               
2022-11-23T01:41:14.9280289Z   diffstat.x86_64 0:1.57-4.amzn2.0.2                                            
2022-11-23T01:41:14.9280728Z   doxygen.x86_64 1:1.8.5-4.amzn2                                                
2022-11-23T01:41:14.9281149Z   elfutils.x86_64 0:0.176-2.amzn2                                               
2022-11-23T01:41:14.9281577Z   flex.x86_64 0:2.5.37-3.amzn2.0.3                                              
2022-11-23T01:41:14.9281973Z   gcc.x86_64 0:7.3.1-15.amzn2                                                   
2022-11-23T01:41:14.9282379Z   gcc-c++.x86_64 0:7.3.1-15.amzn2                                               
2022-11-23T01:41:14.9282814Z   gcc-gfortran.x86_64 0:7.3.1-15.amzn2                                          
2022-11-23T01:41:14.9283226Z   indent.x86_64 0:2.2.11-13.amzn2.0.2                                           
2022-11-23T01:41:14.9283654Z   intltool.noarch 0:0.50.2-7.amzn2                                              
2022-11-23T01:41:14.9284078Z   libtool.x86_64 0:2.4.2-22.2.amzn2.0.2                                         
2022-11-23T01:41:14.9284786Z   patch.x86_64 0:2.7.1-12.amzn2.0.2                                             
2022-11-23T01:41:14.9285218Z   patchutils.x86_64 0:0.3.3-4.amzn2.0.1                                         
2022-11-23T01:41:14.9285942Z   rcs.x86_64 0:5.9.0-5.amzn2.0.2                                                
2022-11-23T01:41:14.9286510Z   rpm-build.x86_64 0:4.11.3-48.amzn2.0.2                                        
2022-11-23T01:41:14.9286960Z   rpm-sign.x86_64 0:4.11.3-48.amzn2.0.2                                         
2022-11-23T01:41:14.9287369Z   subversion.x86_64 0:1.7.14-16.amzn2.0.1                                       
2022-11-23T01:41:14.9287844Z   swig.x86_64 0:3.0.12-11.amzn2.0.3                                             
2022-11-23T01:41:14.9288249Z   system-rpm-config.noarch 0:9.1.0-76.amzn2.0.14                                
2022-11-23T01:41:14.9288692Z   systemtap.x86_64 0:4.5-1.amzn2.0.1                                            
2022-11-23T01:41:14.9288891Z 
2022-11-23T01:41:14.9289040Z Dependency Installed:
2022-11-23T01:41:14.9289437Z   apr.x86_64 0:1.7.0-9.amzn2                                                    
2022-11-23T01:41:14.9289841Z   apr-util.x86_64 0:1.6.1-5.amzn2.0.2                                           
2022-11-23T01:41:14.9290256Z   apr-util-bdb.x86_64 0:1.6.1-5.amzn2.0.2                                       
2022-11-23T01:41:14.9290731Z   avahi-libs.x86_64 0:0.6.31-20.amzn2                                           
2022-11-23T01:41:14.9291141Z   cpp.x86_64 0:7.3.1-15.amzn2                                                   
2022-11-23T01:41:14.9291532Z   dwz.x86_64 0:0.11-3.amzn2.0.3                                                 
2022-11-23T01:41:14.9291978Z   efivar-libs.x86_64 0:31-4.amzn2.0.4                                           
2022-11-23T01:41:14.9292469Z   elfutils-libelf-devel.x86_64 0:0.176-2.amzn2                                  
2022-11-23T01:41:14.9293337Z   emacs-filesystem.noarch 1:27.2-4.amzn2.0.1                                    
2022-11-23T01:41:14.9293959Z   gdb.x86_64 0:8.0.1-36.amzn2.0.1                                               
2022-11-23T01:41:14.9294397Z   gettext-common-devel.noarch 0:0.19.8.1-3.amzn2                                
2022-11-23T01:41:14.9294912Z   gettext-devel.x86_64 0:0.19.8.1-3.amzn2                                       
2022-11-23T01:41:14.9295350Z   glibc-devel.x86_64 0:2.26-62.amzn2                                            
2022-11-23T01:41:14.9295699Z   glibc-headers.x86_64 0:2.26-62.amzn2                                          
2022-11-23T01:41:14.9296440Z   gnutls.x86_64 0:3.3.29-9.amzn2.0.1                                            
2022-11-23T01:41:14.9296894Z   go-srpm-macros.noarch 0:3.0.15-23.amzn2.0.2                                   
2022-11-23T01:41:14.9297384Z   kernel-devel.x86_64 0:4.14.296-222.539.amzn2                                  
2022-11-23T01:41:14.9297986Z   kernel-headers.x86_64 0:4.14.296-222.539.amzn2                                
2022-11-23T01:41:14.9298428Z   libatomic.x86_64 0:7.3.1-15.amzn2                                             
2022-11-23T01:41:14.9298848Z   libcilkrts.x86_64 0:7.3.1-15.amzn2                                            
2022-11-23T01:41:14.9299257Z   libgfortran.x86_64 0:7.3.1-15.amzn2                                           
2022-11-23T01:41:14.9299681Z   libitm.x86_64 0:7.3.1-15.amzn2                                                
2022-11-23T01:41:14.9300099Z   libmodman.x86_64 0:2.0.1-8.amzn2.0.2                                          
2022-11-23T01:41:14.9300497Z   libmpc.x86_64 0:1.0.1-3.amzn2.0.2                                             
2022-11-23T01:41:14.9300911Z   libmpx.x86_64 0:7.3.1-15.amzn2                                                
2022-11-23T01:41:14.9301348Z   libproxy.x86_64 0:0.4.11-10.amzn2.0.3                                         
2022-11-23T01:41:14.9301763Z   libquadmath.x86_64 0:7.3.1-15.amzn2                                           
2022-11-23T01:41:14.9302308Z   libsanitizer.x86_64 0:7.3.1-15.amzn2                                          
2022-11-23T01:41:14.9302738Z   m4.x86_64 0:1.4.16-10.amzn2.0.2                                               
2022-11-23T01:41:14.9303145Z   mokutil.x86_64 1:0.3.0-10.amzn2.0.1                                           
2022-11-23T01:41:14.9303553Z   mpfr.x86_64 0:3.1.1-4.amzn2.0.2                                               
2022-11-23T01:41:14.9304034Z   neon.x86_64 0:0.30.0-3.amzn2.0.2                                              
2022-11-23T01:41:14.9304453Z   pakchois.x86_64 0:0.4-10.amzn2.0.2                                            
2022-11-23T01:41:14.9304905Z   perl-Data-Dumper.x86_64 0:2.145-3.amzn2.0.2                                   
2022-11-23T01:41:14.9305350Z   perl-Test-Harness.noarch 0:3.28-3.amzn2                                       
2022-11-23T01:41:14.9305817Z   perl-Thread-Queue.noarch 0:3.02-2.amzn2                                       
2022-11-23T01:41:14.9306298Z   perl-XML-Parser.x86_64 0:2.41-10.amzn2.0.2                                    
2022-11-23T01:41:14.9306767Z   perl-srpm-macros.noarch 0:1-8.amzn2.0.1                                       
2022-11-23T01:41:14.9307203Z   subversion-libs.x86_64 0:1.7.14-16.amzn2.0.1                                  
2022-11-23T01:41:14.9307647Z   systemtap-client.x86_64 0:4.5-1.amzn2.0.1                                     
2022-11-23T01:41:14.9308099Z   systemtap-devel.x86_64 0:4.5-1.amzn2.0.1                                      
2022-11-23T01:41:14.9308511Z   trousers.x86_64 0:0.3.14-2.amzn2.0.2                                          
2022-11-23T01:41:14.9308932Z   zlib-devel.x86_64 0:1.2.7-19.amzn2.0.2                                        
2022-11-23T01:41:14.9309136Z 
2022-11-23T01:41:14.9309241Z Complete!
2022-11-23T01:41:14.9811232Z ++ uname -r
2022-11-23T01:41:14.9822045Z + sudo yum install -y 'kernel-devel-uname-r == 4.14.252-195.483.amzn2.x86_64'
2022-11-23T01:41:15.5502076Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2022-11-23T01:41:15.8785258Z Resolving Dependencies
2022-11-23T01:41:15.8792632Z --> Running transaction check
2022-11-23T01:41:15.8793774Z ---> Package kernel-devel.x86_64 0:4.14.252-195.483.amzn2 will be installed
2022-11-23T01:41:16.2264889Z --> Finished Dependency Resolution
2022-11-23T01:41:16.3317033Z 
2022-11-23T01:41:16.3317674Z Dependencies Resolved
2022-11-23T01:41:16.3324970Z 
2022-11-23T01:41:16.3325459Z ================================================================================
2022-11-23T01:41:16.3325875Z  Package          Arch       Version                       Repository      Size
2022-11-23T01:41:16.3326546Z ================================================================================
2022-11-23T01:41:16.3326910Z Installing:
2022-11-23T01:41:16.3327397Z  kernel-devel     x86_64     4.14.252-195.483.amzn2        amzn2-core      13 M
2022-11-23T01:41:16.3327620Z 
2022-11-23T01:41:16.3327742Z Transaction Summary
2022-11-23T01:41:16.3328040Z ================================================================================
2022-11-23T01:41:16.3328332Z Install  1 Package
2022-11-23T01:41:16.3328578Z 
2022-11-23T01:41:16.3328870Z Total download size: 13 M
2022-11-23T01:41:16.3329289Z Installed size: 60 M
2022-11-23T01:41:16.3329547Z Downloading packages:
2022-11-23T01:41:16.3341981Z Delta RPMs disabled because /usr/bin/applydeltarpm not installed.
2022-11-23T01:41:16.6497663Z Running transaction check
2022-11-23T01:41:16.6748120Z Running transaction test
2022-11-23T01:41:17.1214155Z Transaction test succeeded
2022-11-23T01:41:17.1216574Z Running transaction
2022-11-23T01:41:34.1357627Z   Installing : kernel-devel-4.14.252-195.483.amzn2.x86_64                   1/1 
2022-11-23T01:41:34.2446198Z   Verifying  : kernel-devel-4.14.252-195.483.amzn2.x86_64                   1/1 
2022-11-23T01:41:34.2446759Z 
2022-11-23T01:41:34.2446973Z Installed:
2022-11-23T01:41:34.2447765Z   kernel-devel.x86_64 0:4.14.252-195.483.amzn2                                  
2022-11-23T01:41:34.2448152Z 
2022-11-23T01:41:34.2448359Z Complete!
2022-11-23T01:41:34.2940751Z + sudo modprobe backlight
2022-11-23T01:41:34.3210157Z + sudo curl -fsL -o /tmp/nvidia_driver https://s3.amazonaws.com/ossci-linux/nvidia_driver/NVIDIA-Linux-x86_64-515.76.run
2022-11-23T01:41:38.0081581Z + set +e
2022-11-23T01:41:38.0082692Z + sudo /bin/bash /tmp/nvidia_driver -s --no-drm
2022-11-23T01:41:39.4135477Z Verifying archive integrity... OK
2022-11-23T01:42:08.2268431Z Uncompressing NVIDIA Accelerated Graphics Driver for Linux-x86_64 515.76................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
2022-11-23T01:42:08.3933718Z 
2022-11-23T01:42:08.3934807Z WARNING: The nvidia-drm module will not be installed. As a result, DRM-KMS will not function with this installation of the NVIDIA driver.
2022-11-23T01:42:08.3935194Z 
2022-11-23T01:42:31.5317434Z 
2022-11-23T01:42:31.5323835Z WARNING: nvidia-installer was forced to guess the X library path '/usr/lib64' and X module path '/usr/lib64/xorg/modules'; these paths were not queryable from the system.  If X fails to find the NVIDIA X driver module, please install the `pkg-config` utility and the X.Org SDK/development package for your distribution and reinstall the driver.
2022-11-23T01:42:31.5325153Z 
2022-11-23T01:42:41.0803743Z + NVIDIA_INSTALLATION_STATUS=0
2022-11-23T01:42:41.0805736Z + RESET_GPU=0
2022-11-23T01:42:41.0806317Z + '[' 0 -ne 0 ']'
2022-11-23T01:42:41.0806576Z ++ command -v nvidia-smi
2022-11-23T01:42:41.0808960Z + '[' -x /usr/bin/nvidia-smi ']'
2022-11-23T01:42:41.0813004Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0
2022-11-23T01:42:43.7834743Z + INSTALLED_DRIVER_VERSION=515.76
2022-11-23T01:42:43.7835121Z + NVIDIA_SMI_STATUS=0
2022-11-23T01:42:43.7837842Z + '[' 0 -ne 0 ']'
2022-11-23T01:42:43.7838522Z + '[' 0 -eq 1 ']'
2022-11-23T01:42:43.7839117Z + sudo rm -fv /tmp/nvidia_driver
2022-11-23T01:42:43.8568531Z removed ‘/tmp/nvidia_driver’
2022-11-23T01:42:43.8591939Z + set -e
2022-11-23T01:42:43.8592302Z + sudo modprobe nvidia
2022-11-23T01:42:43.9281759Z + echo 'After installing NVIDIA driver'
2022-11-23T01:42:43.9282163Z + lspci
2022-11-23T01:42:43.9282659Z After installing NVIDIA driver
2022-11-23T01:42:43.9486274Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] (rev 02)
2022-11-23T01:42:43.9486775Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2022-11-23T01:42:43.9487209Z 00:01.1 IDE interface: Intel Corporation 82371SB PIIX3 IDE [Natoma/Triton II]
2022-11-23T01:42:43.9487636Z 00:01.3 Bridge: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 01)
2022-11-23T01:42:43.9488016Z 00:02.0 VGA compatible controller: Cirrus Logic GD 5446
2022-11-23T01:42:43.9488419Z 00:03.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2022-11-23T01:42:43.9488937Z 00:1e.0 VGA compatible controller: NVIDIA Corporation GM204GL [Tesla M60] (rev a1)
2022-11-23T01:42:43.9489722Z 00:1f.0 Unassigned class [ff80]: XenSource, Inc. Xen Platform Device (rev 01)
2022-11-23T01:42:43.9490281Z + lsmod
2022-11-23T01:42:43.9515120Z Module                  Size  Used by
2022-11-23T01:42:43.9515718Z nvidia              40808448  0
2022-11-23T01:42:43.9516637Z drm                   425984  1 nvidia
2022-11-23T01:42:43.9516976Z i2c_core               77824  2 nvidia,drm
2022-11-23T01:42:43.9517585Z backlight              16384  0
2022-11-23T01:42:43.9518173Z xt_conntrack           16384  1
2022-11-23T01:42:43.9518688Z ipt_MASQUERADE         16384  1
2022-11-23T01:42:43.9519165Z nf_nat_masquerade_ipv4    16384  1 ipt_MASQUERADE
2022-11-23T01:42:43.9519899Z nf_conntrack_netlink    49152  0
2022-11-23T01:42:43.9520305Z nfnetlink              16384  2 nf_conntrack_netlink
2022-11-23T01:42:43.9520884Z xfrm_user              45056  1
2022-11-23T01:42:43.9521239Z xfrm_algo              16384  1 xfrm_user
2022-11-23T01:42:43.9521522Z xt_addrtype            16384  2
2022-11-23T01:42:43.9521969Z iptable_filter         16384  1
2022-11-23T01:42:43.9522653Z iptable_nat            16384  1
2022-11-23T01:42:43.9523121Z nf_conntrack_ipv4      16384  3
2022-11-23T01:42:43.9523722Z nf_defrag_ipv4         16384  1 nf_conntrack_ipv4
2022-11-23T01:42:43.9524179Z nf_nat_ipv4            16384  1 iptable_nat
2022-11-23T01:42:43.9524700Z nf_nat                 36864  2 nf_nat_masquerade_ipv4,nf_nat_ipv4
2022-11-23T01:42:43.9525194Z nf_conntrack          155648  7 xt_conntrack,nf_nat_masquerade_ipv4,nf_conntrack_ipv4,nf_nat,ipt_MASQUERADE,nf_nat_ipv4,nf_conntrack_netlink
2022-11-23T01:42:43.9525585Z br_netfilter           24576  0
2022-11-23T01:42:43.9525732Z bridge                172032  1 br_netfilter
2022-11-23T01:42:43.9526013Z stp                    16384  1 bridge
2022-11-23T01:42:43.9526318Z llc                    16384  2 bridge,stp
2022-11-23T01:42:43.9526569Z overlay                86016  0
2022-11-23T01:42:43.9526916Z sunrpc                393216  1
2022-11-23T01:42:43.9527107Z dm_mirror              28672  0
2022-11-23T01:42:43.9527524Z dm_region_hash         20480  1 dm_mirror
2022-11-23T01:42:43.9528084Z dm_log                 20480  2 dm_region_hash,dm_mirror
2022-11-23T01:42:43.9528716Z dm_mod                143360  2 dm_log,dm_mirror
2022-11-23T01:42:43.9529181Z dax                    69632  1 dm_mod
2022-11-23T01:42:43.9529524Z sb_edac                24576  0
2022-11-23T01:42:43.9529817Z crc32_pclmul           16384  0
2022-11-23T01:42:43.9530082Z ghash_clmulni_intel    16384  0
2022-11-23T01:42:43.9530350Z pcbc                   16384  0
2022-11-23T01:42:43.9530587Z aesni_intel           188416  0
2022-11-23T01:42:43.9530727Z aes_x86_64             20480  1 aesni_intel
2022-11-23T01:42:43.9531002Z ata_piix               36864  0
2022-11-23T01:42:43.9531335Z crypto_simd            16384  1 aesni_intel
2022-11-23T01:42:43.9531730Z glue_helper            16384  1 aesni_intel
2022-11-23T01:42:43.9531910Z pcc_cpufreq            16384  0
2022-11-23T01:42:43.9532332Z cryptd                 28672  3 crypto_simd,ghash_clmulni_intel,aesni_intel
2022-11-23T01:42:43.9532901Z mousedev               24576  0
2022-11-23T01:42:43.9533423Z libata                266240  1 ata_piix
2022-11-23T01:42:43.9533713Z scsi_mod              245760  1 libata
2022-11-23T01:42:43.9533989Z evdev                  20480  3
2022-11-23T01:42:43.9534122Z psmouse                32768  0
2022-11-23T01:42:43.9534336Z button                 16384  0
2022-11-23T01:42:43.9534593Z ena                   114688  0
2022-11-23T01:42:43.9534900Z xen_blkfront           49152  2
2022-11-23T01:42:43.9535089Z crc32c_intel           24576  0
2022-11-23T01:42:43.9535357Z autofs4                49152  2
2022-11-23T01:42:43.9535585Z + modinfo nvidia
2022-11-23T01:42:43.9536817Z filename:       /lib/modules/4.14.252-195.483.amzn2.x86_64/kernel/drivers/video/nvidia.ko
2022-11-23T01:42:43.9537192Z firmware:       nvidia/515.76/gsp.bin
2022-11-23T01:42:43.9537552Z alias:          char-major-195-*
2022-11-23T01:42:43.9537810Z version:        515.76
2022-11-23T01:42:43.9538076Z supported:      external
2022-11-23T01:42:43.9538343Z license:        NVIDIA
2022-11-23T01:42:43.9538604Z srcversion:     51FD9DD90150B35351AFFBB
2022-11-23T01:42:43.9538918Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2022-11-23T01:42:43.9539497Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2022-11-23T01:42:43.9539817Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2022-11-23T01:42:43.9540169Z depends:        i2c-core,drm
2022-11-23T01:42:43.9540446Z retpoline:      Y
2022-11-23T01:42:43.9540674Z name:           nvidia
2022-11-23T01:42:43.9541084Z vermagic:       4.14.252-195.483.amzn2.x86_64 SMP mod_unload modversions 
2022-11-23T01:42:43.9541591Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2022-11-23T01:42:43.9541977Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2022-11-23T01:42:43.9542349Z parm:           NVreg_ResmanDebugLevel:int
2022-11-23T01:42:43.9542652Z parm:           NVreg_RmLogonRC:int
2022-11-23T01:42:43.9542941Z parm:           NVreg_ModifyDeviceFiles:int
2022-11-23T01:42:43.9543262Z parm:           NVreg_DeviceFileUID:int
2022-11-23T01:42:43.9543565Z parm:           NVreg_DeviceFileGID:int
2022-11-23T01:42:43.9543874Z parm:           NVreg_DeviceFileMode:int
2022-11-23T01:42:43.9544226Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2022-11-23T01:42:43.9544718Z parm:           NVreg_UsePageAttributeTable:int
2022-11-23T01:42:43.9544944Z parm:           NVreg_EnablePCIeGen3:int
2022-11-23T01:42:43.9545220Z parm:           NVreg_EnableMSI:int
2022-11-23T01:42:43.9545517Z parm:           NVreg_TCEBypassMode:int
2022-11-23T01:42:43.9545843Z parm:           NVreg_EnableStreamMemOPs:int
2022-11-23T01:42:43.9546187Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2022-11-23T01:42:43.9546585Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2022-11-23T01:42:43.9546964Z parm:           NVreg_EnableS0ixPowerManagement:int
2022-11-23T01:42:43.9547354Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2022-11-23T01:42:43.9547759Z parm:           NVreg_DynamicPowerManagement:int
2022-11-23T01:42:43.9548181Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2022-11-23T01:42:43.9548585Z parm:           NVreg_EnableGpuFirmware:int
2022-11-23T01:42:43.9548906Z parm:           NVreg_EnableGpuFirmwareLogs:int
2022-11-23T01:42:43.9549274Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2022-11-23T01:42:43.9549650Z parm:           NVreg_EnableUserNUMAManagement:int
2022-11-23T01:42:43.9549962Z parm:           NVreg_MemoryPoolSize:int
2022-11-23T01:42:43.9550289Z parm:           NVreg_KMallocHeapMaxSize:int
2022-11-23T01:42:43.9550632Z parm:           NVreg_VMallocHeapMaxSize:int
2022-11-23T01:42:43.9550926Z parm:           NVreg_IgnoreMMIOCheck:int
2022-11-23T01:42:43.9551230Z parm:           NVreg_NvLinkDisable:int
2022-11-23T01:42:43.9551588Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2022-11-23T01:42:43.9551936Z parm:           NVreg_RegisterPCIDriver:int
2022-11-23T01:42:43.9552267Z parm:           NVreg_EnableDbgBreakpoint:int
2022-11-23T01:42:43.9552593Z parm:           NVreg_RegistryDwords:charp
2022-11-23T01:42:43.9552917Z parm:           NVreg_RegistryDwordsPerDevice:charp
2022-11-23T01:42:43.9553241Z parm:           NVreg_RmMsg:charp
2022-11-23T01:42:43.9553551Z parm:           NVreg_GpuBlacklist:charp
2022-11-23T01:42:43.9553878Z parm:           NVreg_TemporaryFilePath:charp
2022-11-23T01:42:43.9554176Z parm:           NVreg_ExcludedGpus:charp
2022-11-23T01:42:43.9554496Z parm:           NVreg_DmaRemapPeerMmio:int
2022-11-23T01:42:43.9554812Z parm:           rm_firmware_active:charp
2022-11-23T01:42:43.9555065Z + set +e
2022-11-23T01:42:43.9555357Z + nvidia-smi
2022-11-23T01:42:45.9233213Z Wed Nov 23 01:42:45 2022       
2022-11-23T01:42:45.9234106Z +-----------------------------------------------------------------------------+
2022-11-23T01:42:45.9234557Z | NVIDIA-SMI 515.76       Driver Version: 515.76       CUDA Version: 11.7     |
2022-11-23T01:42:45.9235037Z |-------------------------------+----------------------+----------------------+
2022-11-23T01:42:45.9235566Z | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
2022-11-23T01:42:45.9236457Z | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
2022-11-23T01:42:45.9236829Z |                               |                      |               MIG M. |
2022-11-23T01:42:45.9237135Z |===============================+======================+======================|
2022-11-23T01:42:45.9315133Z |   0  Tesla M60           Off  | 00000000:00:1E.0 Off |                    0 |
2022-11-23T01:42:45.9316414Z | N/A   20C    P0    37W / 150W |      0MiB /  7680MiB |     91%      Default |
2022-11-23T01:42:45.9316977Z |                               |                      |                  N/A |
2022-11-23T01:42:45.9317534Z +-------------------------------+----------------------+----------------------+
2022-11-23T01:42:45.9317814Z                                                                                
2022-11-23T01:42:45.9318208Z +-----------------------------------------------------------------------------+
2022-11-23T01:42:45.9318602Z | Processes:                                                                  |
2022-11-23T01:42:45.9318969Z |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
2022-11-23T01:42:45.9319325Z |        ID   ID                                                   Usage      |
2022-11-23T01:42:45.9319611Z |=============================================================================|
2022-11-23T01:42:45.9319936Z |  No running processes found                                                 |
2022-11-23T01:42:45.9320427Z +-----------------------------------------------------------------------------+
2022-11-23T01:42:46.1981550Z + NVIDIA_SMI_STATUS=0
2022-11-23T01:42:46.1982480Z + '[' 0 -eq 0 ']'
2022-11-23T01:42:46.1982865Z + echo 'INFO: Ignoring allowed status 0'
2022-11-23T01:42:46.1983161Z + set -e
2022-11-23T01:42:46.1983402Z INFO: Ignoring allowed status 0
2022-11-23T01:42:46.1985966Z == Installing nvidia container toolkit for amzn2 ==
2022-11-23T01:42:46.1990706Z + sudo yum install -y yum-utils
2022-11-23T01:42:46.8101925Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2022-11-23T01:42:47.1250703Z Package yum-utils-1.1.31-46.amzn2.0.1.noarch already installed and latest version
2022-11-23T01:42:47.1251155Z Nothing to do
2022-11-23T01:42:47.1566450Z + sudo yum-config-manager --add-repo https://nvidia.github.io/nvidia-docker/amzn2/nvidia-docker.repo
2022-11-23T01:42:47.7684007Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2022-11-23T01:42:47.8023932Z adding repo from: https://nvidia.github.io/nvidia-docker/amzn2/nvidia-docker.repo
2022-11-23T01:42:47.8024837Z grabbing file https://nvidia.github.io/nvidia-docker/amzn2/nvidia-docker.repo to /etc/yum.repos.d/nvidia-docker.repo
2022-11-23T01:42:47.8025354Z repo saved to /etc/yum.repos.d/nvidia-docker.repo
2022-11-23T01:42:47.8251969Z + sudo yum install -y nvidia-docker2
2022-11-23T01:42:48.4342839Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2022-11-23T01:42:48.4826294Z Retrieving key from https://nvidia.github.io/libnvidia-container/gpgkey
2022-11-23T01:42:48.4954491Z Importing GPG key 0xF796ECB0:
2022-11-23T01:42:48.4954981Z  Userid     : "NVIDIA CORPORATION (Open Source Projects) <cudatools@nvidia.com>"
2022-11-23T01:42:48.4955379Z  Fingerprint: c95b 321b 61e8 8c18 09c4 f759 ddca e044 f796 ecb0
2022-11-23T01:42:48.4956031Z  From       : https://nvidia.github.io/libnvidia-container/gpgkey
2022-11-23T01:42:48.9071260Z Retrieving key from https://nvidia.github.io/nvidia-container-runtime/gpgkey
2022-11-23T01:42:48.9186321Z Importing GPG key 0xF796ECB0:
2022-11-23T01:42:48.9186945Z  Userid     : "NVIDIA CORPORATION (Open Source Projects) <cudatools@nvidia.com>"
2022-11-23T01:42:48.9187331Z  Fingerprint: c95b 321b 61e8 8c18 09c4 f759 ddca e044 f796 ecb0
2022-11-23T01:42:48.9187978Z  From       : https://nvidia.github.io/nvidia-container-runtime/gpgkey
2022-11-23T01:42:49.1572701Z Retrieving key from https://nvidia.github.io/nvidia-docker/gpgkey
2022-11-23T01:42:49.1665825Z Importing GPG key 0xF796ECB0:
2022-11-23T01:42:49.1666886Z  Userid     : "NVIDIA CORPORATION (Open Source Projects) <cudatools@nvidia.com>"
2022-11-23T01:42:49.1667326Z  Fingerprint: c95b 321b 61e8 8c18 09c4 f759 ddca e044 f796 ecb0
2022-11-23T01:42:49.1667944Z  From       : https://nvidia.github.io/nvidia-docker/gpgkey
2022-11-23T01:42:51.3649565Z Resolving Dependencies
2022-11-23T01:42:51.3658684Z --> Running transaction check
2022-11-23T01:42:51.3659977Z ---> Package nvidia-docker2.noarch 0:2.11.0-1 will be installed
2022-11-23T01:42:51.3693653Z --> Processing Dependency: nvidia-container-toolkit >= 1.10.0-1 for package: nvidia-docker2-2.11.0-1.noarch
2022-11-23T01:42:51.4226347Z --> Running transaction check
2022-11-23T01:42:51.4226934Z ---> Package nvidia-container-toolkit.x86_64 0:1.11.0-1 will be installed
2022-11-23T01:42:51.4435428Z --> Processing Dependency: nvidia-container-toolkit-base = 1.11.0-1 for package: nvidia-container-toolkit-1.11.0-1.x86_64
2022-11-23T01:42:51.4448644Z --> Processing Dependency: libnvidia-container-tools < 2.0.0 for package: nvidia-container-toolkit-1.11.0-1.x86_64
2022-11-23T01:42:51.4590900Z --> Processing Dependency: libnvidia-container-tools >= 1.11.0-1 for package: nvidia-container-toolkit-1.11.0-1.x86_64
2022-11-23T01:42:51.4591482Z --> Running transaction check
2022-11-23T01:42:51.4591947Z ---> Package libnvidia-container-tools.x86_64 0:1.11.0-1 will be installed
2022-11-23T01:42:51.4605215Z --> Processing Dependency: libnvidia-container1(x86-64) >= 1.11.0-1 for package: libnvidia-container-tools-1.11.0-1.x86_64
2022-11-23T01:42:51.4640596Z --> Processing Dependency: libnvidia-container.so.1(NVC_1.0)(64bit) for package: libnvidia-container-tools-1.11.0-1.x86_64
2022-11-23T01:42:51.4641357Z --> Processing Dependency: libnvidia-container.so.1()(64bit) for package: libnvidia-container-tools-1.11.0-1.x86_64
2022-11-23T01:42:51.4641987Z ---> Package nvidia-container-toolkit-base.x86_64 0:1.11.0-1 will be installed
2022-11-23T01:42:51.4644810Z --> Running transaction check
2022-11-23T01:42:51.4645891Z ---> Package libnvidia-container1.x86_64 0:1.11.0-1 will be installed
2022-11-23T01:42:51.8309533Z --> Finished Dependency Resolution
2022-11-23T01:42:51.9243054Z 
2022-11-23T01:42:51.9243669Z Dependencies Resolved
2022-11-23T01:42:51.9260079Z 
2022-11-23T01:42:51.9260617Z ================================================================================
2022-11-23T01:42:51.9261348Z  Package                        Arch    Version      Repository            Size
2022-11-23T01:42:51.9262174Z ================================================================================
2022-11-23T01:42:51.9262711Z Installing:
2022-11-23T01:42:51.9263360Z  nvidia-docker2                 noarch  2.11.0-1     libnvidia-container  8.7 k
2022-11-23T01:42:51.9263739Z Installing for dependencies:
2022-11-23T01:42:51.9264200Z  libnvidia-container-tools      x86_64  1.11.0-1     libnvidia-container   49 k
2022-11-23T01:42:51.9265120Z  libnvidia-container1           x86_64  1.11.0-1     libnvidia-container  1.0 M
2022-11-23T01:42:51.9266236Z  nvidia-container-toolkit       x86_64  1.11.0-1     libnvidia-container  780 k
2022-11-23T01:42:51.9266964Z  nvidia-container-toolkit-base  x86_64  1.11.0-1     libnvidia-container  2.5 M
2022-11-23T01:42:51.9267564Z 
2022-11-23T01:42:51.9267813Z Transaction Summary
2022-11-23T01:42:51.9268289Z ================================================================================
2022-11-23T01:42:51.9268623Z Install  1 Package (+4 Dependent packages)
2022-11-23T01:42:51.9268832Z 
2022-11-23T01:42:51.9268975Z Total download size: 4.3 M
2022-11-23T01:42:51.9269228Z Installed size: 12 M
2022-11-23T01:42:51.9269500Z Downloading packages:
2022-11-23T01:42:52.1064013Z --------------------------------------------------------------------------------
2022-11-23T01:42:52.1064659Z Total                                               24 MB/s | 4.3 MB  00:00     
2022-11-23T01:42:52.1125248Z Running transaction check
2022-11-23T01:42:52.1346617Z Running transaction test
2022-11-23T01:42:52.1552332Z Transaction test succeeded
2022-11-23T01:42:52.1555549Z Running transaction
2022-11-23T01:42:52.7052719Z   Installing : nvidia-container-toolkit-base-1.11.0-1.x86_64                1/5 
2022-11-23T01:42:52.7535593Z   Installing : libnvidia-container1-1.11.0-1.x86_64                         2/5 
2022-11-23T01:42:52.8802385Z   Installing : libnvidia-container-tools-1.11.0-1.x86_64                    3/5 
2022-11-23T01:42:52.9115987Z   Installing : nvidia-container-toolkit-1.11.0-1.x86_64                     4/5 
2022-11-23T01:42:52.9678296Z   Installing : nvidia-docker2-2.11.0-1.noarch                               5/5 
2022-11-23T01:42:52.9835805Z   Verifying  : libnvidia-container1-1.11.0-1.x86_64                         1/5 
2022-11-23T01:42:52.9982405Z   Verifying  : nvidia-container-toolkit-base-1.11.0-1.x86_64                2/5 
2022-11-23T01:42:53.0103598Z   Verifying  : nvidia-container-toolkit-1.11.0-1.x86_64                     3/5 
2022-11-23T01:42:53.0244686Z   Verifying  : libnvidia-container-tools-1.11.0-1.x86_64                    4/5 
2022-11-23T01:42:53.1185417Z   Verifying  : nvidia-docker2-2.11.0-1.noarch                               5/5 
2022-11-23T01:42:53.1185825Z 
2022-11-23T01:42:53.1185965Z Installed:
2022-11-23T01:42:53.1186349Z   nvidia-docker2.noarch 0:2.11.0-1                                              
2022-11-23T01:42:53.1186578Z 
2022-11-23T01:42:53.1186713Z Dependency Installed:
2022-11-23T01:42:53.1187097Z   libnvidia-container-tools.x86_64 0:1.11.0-1                                   
2022-11-23T01:42:53.1187558Z   libnvidia-container1.x86_64 0:1.11.0-1                                        
2022-11-23T01:42:53.1188050Z   nvidia-container-toolkit.x86_64 0:1.11.0-1                                    
2022-11-23T01:42:53.1188555Z   nvidia-container-toolkit-base.x86_64 0:1.11.0-1                               
2022-11-23T01:42:53.1188804Z 
2022-11-23T01:42:53.1188922Z Complete!
2022-11-23T01:42:53.2814880Z + sudo systemctl restart docker
2022-11-23T01:43:01.4429075Z Command completed after 1 attempt(s).
2022-11-23T01:43:01.4429467Z 
2022-11-23T01:43:01.4432065Z ##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/
2022-11-23T01:43:01.4487021Z ##[group]Run python3 -m pip install psutil==5.9.1
2022-11-23T01:43:01.4487463Z python3 -m pip install psutil==5.9.1
2022-11-23T01:43:01.4487769Z python3 -m pip install pynvml==11.4.1
2022-11-23T01:43:01.4488128Z python3 -m tools.stats.monitor > usage_log.txt 2>&1 &
2022-11-23T01:43:01.4488516Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2022-11-23T01:43:01.4503962Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:43:01.4504279Z env:
2022-11-23T01:43:01.4504544Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:43:01.4504803Z   GPU_FLAG: --gpus all
2022-11-23T01:43:01.4505065Z ##[endgroup]
2022-11-23T01:43:03.0174007Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T01:43:03.4911122Z Collecting psutil==5.9.1
2022-11-23T01:43:03.5165832Z   Downloading psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB)
2022-11-23T01:43:03.5966145Z Installing collected packages: psutil
2022-11-23T01:43:03.8005242Z Successfully installed psutil-5.9.1
2022-11-23T01:43:04.3903476Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T01:43:04.4840376Z Collecting pynvml==11.4.1
2022-11-23T01:43:04.5156210Z   Downloading pynvml-11.4.1-py3-none-any.whl (46 kB)
2022-11-23T01:43:04.5783739Z Installing collected packages: pynvml
2022-11-23T01:43:04.6510075Z Successfully installed pynvml-11.4.1
2022-11-23T01:43:04.7479552Z Prepare all required actions
2022-11-23T01:43:04.7480134Z Getting action download info
2022-11-23T01:43:05.6774019Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:4a8bfae15cc25cc0785c1603ee87a9da8fd442ea)
2022-11-23T01:43:05.9032051Z Download action repository 'actions/download-artifact@v3' (SHA:9782bd6a9848b53b110e712e20e42d89988822b7)
2022-11-23T01:43:06.0433608Z ##[group]Run ./.github/actions/download-build-artifacts
2022-11-23T01:43:06.0434010Z with:
2022-11-23T01:43:06.0434334Z   name: linux-bionic-cuda11.6-py3.7-gcc7-debug
2022-11-23T01:43:06.0434726Z env:
2022-11-23T01:43:06.0435284Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:43:06.0436278Z   GPU_FLAG: --gpus all
2022-11-23T01:43:06.0436648Z ##[endgroup]
2022-11-23T01:43:06.0528570Z ##[group]Run seemethere/download-artifact-s3@v4
2022-11-23T01:43:06.0528959Z with:
2022-11-23T01:43:06.0529248Z   name: linux-bionic-cuda11.6-py3.7-gcc7-debug
2022-11-23T01:43:06.0529587Z   s3-bucket: gha-artifacts
2022-11-23T01:43:06.0529935Z   region: us-east-1
2022-11-23T01:43:06.0530159Z env:
2022-11-23T01:43:06.0530414Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:43:06.0530699Z   GPU_FLAG: --gpus all
2022-11-23T01:43:06.0530941Z ##[endgroup]
2022-11-23T01:43:06.6915946Z Found 1 objects with prefix pytorch/pytorch/3528394938/linux-bionic-cuda11.6-py3.7-gcc7-debug/
2022-11-23T01:43:06.6917003Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2022-11-23T01:43:13.0477889Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2022-11-23T01:43:13.0478317Z 
2022-11-23T01:43:13.0483358Z ##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/
2022-11-23T01:43:13.0484753Z Artifact download has finished successfully
2022-11-23T01:43:13.0690425Z ##[group]Run unzip -o artifacts.zip
2022-11-23T01:43:13.0690740Z unzip -o artifacts.zip
2022-11-23T01:43:13.0706715Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:43:13.0707034Z env:
2022-11-23T01:43:13.0707264Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:43:13.0707545Z   GPU_FLAG: --gpus all
2022-11-23T01:43:13.0707803Z ##[endgroup]
2022-11-23T01:43:13.0797913Z Archive:  artifacts.zip
2022-11-23T01:43:13.0798940Z    creating: dist/
2022-11-23T01:43:15.2080101Z   inflating: dist/torch-1.14.0a0+git1cfd385-cp310-cp310-linux_x86_64.whl  
2022-11-23T01:43:15.2080635Z    creating: build/custom_test_artifacts/
2022-11-23T01:43:15.2081109Z    creating: build/custom_test_artifacts/custom-op-build/
2022-11-23T01:43:15.2081607Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/
2022-11-23T01:43:15.2087628Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeOutput.log  
2022-11-23T01:43:15.2088218Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/
2022-11-23T01:43:15.2088795Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.22.1/CMakeSystem.cmake  
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2022-11-23T01:43:23.6293970Z   inflating: build/bin/operator_name_test  
2022-11-23T01:43:23.6349825Z   inflating: build/bin/operators_test  
2022-11-23T01:43:23.6407849Z   inflating: build/bin/mobile_memory_cleanup  
2022-11-23T01:43:23.6470297Z   inflating: build/bin/native_test   
2022-11-23T01:43:23.6528560Z   inflating: build/bin/packedtensoraccessor_test  
2022-11-23T01:43:23.6601377Z   inflating: build/bin/pow_test      
2022-11-23T01:43:23.6665049Z   inflating: build/bin/quantized_test  
2022-11-23T01:43:23.6721337Z   inflating: build/bin/reportMemoryUsage_test  
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2022-11-23T01:43:23.6902302Z   inflating: build/bin/scalar_test   
2022-11-23T01:43:23.6959849Z   inflating: build/bin/stride_properties_test  
2022-11-23T01:43:23.7047375Z   inflating: build/bin/tensor_iterator_test  
2022-11-23T01:43:23.7109795Z   inflating: build/bin/type_ptr_test  
2022-11-23T01:43:23.7111988Z   inflating: build/bin/thread_init_test  
2022-11-23T01:43:23.7174138Z   inflating: build/bin/test_parallel  
2022-11-23T01:43:23.7229170Z   inflating: build/bin/variant_test  
2022-11-23T01:43:23.7287002Z   inflating: build/bin/undefined_tensor_test  
2022-11-23T01:43:23.7354413Z   inflating: build/bin/type_test     
2022-11-23T01:43:23.7355076Z   inflating: build/bin/verify_api_visibility  
2022-11-23T01:43:23.7432976Z   inflating: build/bin/vmap_test     
2022-11-23T01:43:23.7489427Z   inflating: build/bin/weakref_test  
2022-11-23T01:43:23.7545889Z   inflating: build/bin/wrapdim_test  
2022-11-23T01:43:23.7668450Z   inflating: build/bin/List_test     
2022-11-23T01:43:23.7722756Z   inflating: build/bin/xla_tensor_test  
2022-11-23T01:43:23.7789011Z   inflating: build/bin/IListRef_test  
2022-11-23T01:43:23.7861071Z   inflating: build/bin/KernelFunction_test  
2022-11-23T01:43:23.7996426Z   inflating: build/bin/kernel_function_legacy_test  
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2022-11-23T01:43:23.8428769Z   inflating: build/bin/kernel_stackbased_test  
2022-11-23T01:43:23.8484933Z   inflating: build/bin/CppSignature_test  
2022-11-23T01:43:23.8591717Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2022-11-23T01:43:23.8644920Z   inflating: build/bin/op_allowlist_test  
2022-11-23T01:43:23.8704019Z   inflating: build/bin/inline_container_test  
2022-11-23T01:43:23.9028230Z   inflating: build/bin/op_registration_test  
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2022-11-23T01:43:23.9592088Z   inflating: build/bin/cuda_dlconvertor_test  
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2022-11-23T01:43:23.9787442Z   inflating: build/bin/cuda_generator_test  
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2022-11-23T01:43:24.0190682Z   inflating: build/bin/cuda_vectorized_test  
2022-11-23T01:43:24.0209259Z   inflating: build/bin/tutorial_tensorexpr  
2022-11-23T01:43:24.0281966Z   inflating: build/bin/ProcessGroupGlooTest  
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2022-11-23T01:43:24.0539519Z   inflating: build/bin/ProcessGroupUCCTest  
2022-11-23T01:43:24.0599625Z   inflating: build/bin/test_dist_autograd  
2022-11-23T01:43:24.0677145Z   inflating: build/bin/test_cpp_rpc  
2022-11-23T01:43:24.0679374Z   inflating: build/bin/parallel_benchmark  
2022-11-23T01:43:24.0756754Z   inflating: build/bin/test_mobile_nnc  
2022-11-23T01:43:24.0768192Z   inflating: build/bin/aot_model_compiler_test  
2022-11-23T01:43:24.1710039Z   inflating: build/bin/test_tensorexpr  
2022-11-23T01:43:24.2109684Z   inflating: build/bin/test_lazy     
2022-11-23T01:43:24.2115020Z   inflating: build/bin/torch_shm_manager  
2022-11-23T01:43:24.3479674Z   inflating: build/bin/test_api      
2022-11-23T01:43:24.4724590Z   inflating: build/bin/test_jit      
2022-11-23T01:43:24.4725388Z   inflating: .pytorch-test-times.json  
2022-11-23T01:43:24.4759911Z ##[group]Run df -H
2022-11-23T01:43:24.4760194Z df -H
2022-11-23T01:43:24.4774886Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:43:24.4775176Z env:
2022-11-23T01:43:24.4775433Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:43:24.4775737Z   GPU_FLAG: --gpus all
2022-11-23T01:43:24.4775982Z ##[endgroup]
2022-11-23T01:43:24.4823873Z Filesystem      Size  Used Avail Use% Mounted on
2022-11-23T01:43:24.4824642Z devtmpfs         65G     0   65G   0% /dev
2022-11-23T01:43:24.4824911Z tmpfs            65G     0   65G   0% /dev/shm
2022-11-23T01:43:24.4825434Z tmpfs            65G  480k   65G   1% /run
2022-11-23T01:43:24.4825790Z tmpfs            65G     0   65G   0% /sys/fs/cgroup
2022-11-23T01:43:24.4826110Z /dev/xvda1      162G   30G  132G  19% /
2022-11-23T01:43:24.4852469Z ##[group]Run .github/scripts/parse_ref.py
2022-11-23T01:43:24.4852833Z .github/scripts/parse_ref.py
2022-11-23T01:43:24.4868398Z shell: /usr/bin/bash -e {0}
2022-11-23T01:43:24.4868674Z env:
2022-11-23T01:43:24.4868911Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:43:24.4869197Z   GPU_FLAG: --gpus all
2022-11-23T01:43:24.4869461Z ##[endgroup]
2022-11-23T01:43:24.5223763Z ##[group]Run set -x
2022-11-23T01:43:24.5224199Z set -x
2022-11-23T01:43:24.5224439Z 
2022-11-23T01:43:24.5224701Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2022-11-23T01:43:24.5225059Z   TEST_COMMAND=.jenkins/pytorch/multigpu-test.sh
2022-11-23T01:43:24.5225492Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2022-11-23T01:43:24.5225802Z   TEST_COMMAND=.jenkins/caffe2/test.sh
2022-11-23T01:43:24.5226084Z else
2022-11-23T01:43:24.5226374Z   TEST_COMMAND=.jenkins/pytorch/test.sh
2022-11-23T01:43:24.5226654Z fi
2022-11-23T01:43:24.5226929Z 
2022-11-23T01:43:24.5227258Z COMMIT_MESSAGES=$(git cherry -v "origin/${GIT_DEFAULT_BRANCH:-master}")
2022-11-23T01:43:24.5227606Z 
2022-11-23T01:43:24.5227887Z # sanitize the input commit message and PR body here:
2022-11-23T01:43:24.5228185Z #
2022-11-23T01:43:24.5228598Z # trim all new lines from commit messages + PR_BODY to avoid issues with batch environment
2022-11-23T01:43:24.5229095Z # variable copying. see https://github.com/pytorch/pytorch/pull/80043#issuecomment-1167796028
2022-11-23T01:43:24.5229525Z COMMIT_MESSAGES="${COMMIT_MESSAGES//[$'\n\r']}"
2022-11-23T01:43:24.5229845Z PR_BODY="${PR_BODY//[$'\n\r']}"
2022-11-23T01:43:24.5230089Z 
2022-11-23T01:43:24.5230446Z # then trim all special characters like single and double quotes to avoid unescaped inputs to
2022-11-23T01:43:24.5230827Z # wreak havoc internally
2022-11-23T01:43:24.5231155Z export COMMIT_MESSAGES="${COMMIT_MESSAGES//[\'\"]}"
2022-11-23T01:43:24.5231476Z export PR_BODY="${PR_BODY//[\'\"]}"
2022-11-23T01:43:24.5231745Z 
2022-11-23T01:43:24.5232063Z # detached container should get cleaned up by teardown_ec2_linux
2022-11-23T01:43:24.5232450Z # TODO: Stop building test binaries as part of the build phase
2022-11-23T01:43:24.5232832Z # Used for GPU_FLAG since that doesn't play nice
2022-11-23T01:43:24.5233171Z # shellcheck disable=SC2086,SC2090
2022-11-23T01:43:24.5233481Z container_name=$(docker run \
2022-11-23T01:43:24.5233744Z   ${GPU_FLAG:-} \
2022-11-23T01:43:24.5234022Z   -e BUILD_ENVIRONMENT \
2022-11-23T01:43:24.5234302Z   -e PR_NUMBER \
2022-11-23T01:43:24.5234559Z   -e GITHUB_ACTIONS \
2022-11-23T01:43:24.5234828Z   -e BASE_SHA \
2022-11-23T01:43:24.5235086Z   -e BRANCH \
2022-11-23T01:43:24.5235319Z   -e SHA1 \
2022-11-23T01:43:24.5235591Z   -e AWS_DEFAULT_REGION \
2022-11-23T01:43:24.5236035Z   -e IN_WHEEL_TEST \
2022-11-23T01:43:24.5236285Z   -e SHARD_NUMBER \
2022-11-23T01:43:24.5236553Z   -e TEST_CONFIG \
2022-11-23T01:43:24.5236824Z   -e NUM_TEST_SHARDS \
2022-11-23T01:43:24.5237069Z   -e PR_BODY \
2022-11-23T01:43:24.5237348Z   -e COMMIT_MESSAGES \
2022-11-23T01:43:24.5237643Z   -e PYTORCH_RETRY_TEST_CASES \
2022-11-23T01:43:24.5237943Z   -e PYTORCH_OVERRIDE_FLAKY_SIGNAL \
2022-11-23T01:43:24.5238234Z   -e PR_LABELS \
2022-11-23T01:43:24.5238534Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2022-11-23T01:43:24.5238830Z   -e SCCACHE_BUCKET \
2022-11-23T01:43:24.5239094Z   -e SCCACHE_S3_KEY_PREFIX \
2022-11-23T01:43:24.5239368Z   -e XLA_CUDA \
2022-11-23T01:43:24.5239657Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2022-11-23T01:43:24.5239965Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2022-11-23T01:43:24.5240300Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2022-11-23T01:43:24.5240664Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2022-11-23T01:43:24.5240975Z   --ulimit stack=10485760:83886080 \
2022-11-23T01:43:24.5241297Z   --security-opt seccomp=unconfined \
2022-11-23T01:43:24.5241710Z   --cap-add=SYS_PTRACE \
2022-11-23T01:43:24.5242002Z   --ipc=host \
2022-11-23T01:43:24.5242254Z   --shm-size="${SHM_SIZE}" \
2022-11-23T01:43:24.5242521Z   --tty \
2022-11-23T01:43:24.5242773Z   --detach \
2022-11-23T01:43:24.5243026Z   --name="${container_name}" \
2022-11-23T01:43:24.5243318Z   --user jenkins \
2022-11-23T01:43:24.5243648Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2022-11-23T01:43:24.5243976Z   -w /var/lib/jenkins/workspace \
2022-11-23T01:43:24.5244269Z   "${DOCKER_IMAGE}"
2022-11-23T01:43:24.5244520Z )
2022-11-23T01:43:24.5244805Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2022-11-23T01:43:24.5245407Z docker exec -t "${container_name}" sh -c "pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2022-11-23T01:43:24.5261580Z shell: /usr/bin/bash -e {0}
2022-11-23T01:43:24.5261848Z env:
2022-11-23T01:43:24.5262123Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:43:24.5262410Z   GPU_FLAG: --gpus all
2022-11-23T01:43:24.5262768Z   BUILD_ENVIRONMENT: linux-bionic-cuda11.6-py3.7-gcc7-debug
2022-11-23T01:43:24.5263080Z   PR_NUMBER: 
2022-11-23T01:43:24.5263328Z   BRANCH: master
2022-11-23T01:43:24.5263610Z   SHA1: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:43:24.5263913Z   BASE_SHA: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:43:24.5264229Z   PYTORCH_RETRY_TEST_CASES: 1
2022-11-23T01:43:24.5264528Z   PYTORCH_OVERRIDE_FLAKY_SIGNAL: 1
2022-11-23T01:43:24.5264788Z   TEST_CONFIG: default
2022-11-23T01:43:24.5265045Z   SHARD_NUMBER: 2
2022-11-23T01:43:24.5265303Z   NUM_TEST_SHARDS: 4
2022-11-23T01:43:24.5265541Z   PR_BODY: 
2022-11-23T01:43:24.5265853Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2022-11-23T01:43:24.5266193Z   SCCACHE_S3_KEY_PREFIX: periodic
2022-11-23T01:43:24.5266446Z   SHM_SIZE: 2g
2022-11-23T01:43:24.5266948Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:43:24.5267425Z   XLA_CUDA: 
2022-11-23T01:43:24.5267791Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2022-11-23T01:43:24.5268160Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 1
2022-11-23T01:43:24.5268468Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2022-11-23T01:43:24.5268757Z ##[endgroup]
2022-11-23T01:43:24.5307104Z + [[ default == \m\u\l\t\i\g\p\u ]]
2022-11-23T01:43:24.5308013Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug == *onnx* ]]
2022-11-23T01:43:24.5308418Z + TEST_COMMAND=.jenkins/pytorch/test.sh
2022-11-23T01:43:24.5311260Z ++ git cherry -v origin/master
2022-11-23T01:43:24.5331916Z + COMMIT_MESSAGES=
2022-11-23T01:43:24.5332401Z + COMMIT_MESSAGES=
2022-11-23T01:43:24.5332875Z + PR_BODY=
2022-11-23T01:43:24.5333437Z + export COMMIT_MESSAGES=
2022-11-23T01:43:24.5333960Z + COMMIT_MESSAGES=
2022-11-23T01:43:24.5334243Z + export PR_BODY=
2022-11-23T01:43:24.5334496Z + PR_BODY=
2022-11-23T01:43:24.5345416Z +++ nproc --ignore=2
2022-11-23T01:43:24.5561982Z ++ docker run --gpus all -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e PR_BODY -e COMMIT_MESSAGES -e PYTORCH_RETRY_TEST_CASES -e PYTORCH_OVERRIDE_FLAKY_SIGNAL -e PR_LABELS -e MAX_JOBS=14 -e SCCACHE_BUCKET -e SCCACHE_S3_KEY_PREFIX -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS --env-file=/tmp/github_env_3528394938 --ulimit stack=10485760:83886080 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:43:38.7999417Z + container_name=81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T01:43:38.7999996Z + echo DOCKER_CONTAINER_ID=81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T01:43:38.8004948Z ++ echo dist/torch-1.14.0a0+git1cfd385-cp310-cp310-linux_x86_64.whl
2022-11-23T01:43:38.8007123Z + docker exec -t 81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4 sh -c 'pip install dist/torch-1.14.0a0+git1cfd385-cp310-cp310-linux_x86_64.whl[opt-einsum] && .jenkins/pytorch/test.sh'
2022-11-23T01:43:39.4957120Z Processing ./dist/torch-1.14.0a0+git1cfd385-cp310-cp310-linux_x86_64.whl
2022-11-23T01:43:40.5176864Z Requirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch==1.14.0a0+git1cfd385) (1.11.1)
2022-11-23T01:43:40.5178208Z Requirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch==1.14.0a0+git1cfd385) (2.6.3)
2022-11-23T01:43:40.5183747Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.10/site-packages (from torch==1.14.0a0+git1cfd385) (4.4.0)
2022-11-23T01:43:40.5205576Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/lib/python3.10/site-packages (from torch==1.14.0a0+git1cfd385) (3.3.0)
2022-11-23T01:43:40.5299620Z Requirement already satisfied: numpy>=1.7 in /opt/conda/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==1.14.0a0+git1cfd385) (1.21.2)
2022-11-23T01:43:40.5549345Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.10/site-packages (from sympy->torch==1.14.0a0+git1cfd385) (1.2.1)
2022-11-23T01:43:41.6312550Z Installing collected packages: torch
2022-11-23T01:43:52.6268557Z Successfully installed torch-1.14.0a0+git1cfd385
2022-11-23T01:43:52.8123266Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2022-11-23T01:43:52.8380279Z + TORCH_INSTALL_DIR=/opt/conda/lib/python3.10/site-packages/torch
2022-11-23T01:43:52.8380850Z + TORCH_BIN_DIR=/opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T01:43:52.8381319Z + TORCH_LIB_DIR=/opt/conda/lib/python3.10/site-packages/torch/lib
2022-11-23T01:43:52.8381828Z + TORCH_TEST_DIR=/opt/conda/lib/python3.10/site-packages/torch/test
2022-11-23T01:43:52.8384985Z + BUILD_DIR=build
2022-11-23T01:43:52.8385583Z + BUILD_RENAMED_DIR=build_renamed
2022-11-23T01:43:52.8386234Z + BUILD_BIN_DIR=build/bin
2022-11-23T01:43:52.8386638Z + export VALGRIND=ON
2022-11-23T01:43:52.8386828Z + VALGRIND=ON
2022-11-23T01:43:52.8387444Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug == *clang9* ]]
2022-11-23T01:43:52.8388408Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *bazel* ]]
2022-11-23T01:43:52.8389207Z ++ realpath build/custom_test_artifacts
2022-11-23T01:43:52.8396801Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2022-11-23T01:43:52.8399892Z ++ dirname .jenkins/pytorch/test.sh
2022-11-23T01:43:52.8407896Z + source .jenkins/pytorch/common.sh
2022-11-23T01:43:52.8412060Z +++ dirname .jenkins/pytorch/common.sh
2022-11-23T01:43:52.8425223Z ++ source .jenkins/pytorch/common_utils.sh
2022-11-23T01:43:52.8427400Z +++ declare -f -t trap_add
2022-11-23T01:43:52.8433822Z ++ set -ex
2022-11-23T01:43:52.8434286Z ++ [[ linux-bionic-cuda11.6-py3.7-gcc7-debug == *rocm* ]]
2022-11-23T01:43:52.8434826Z ++ BUILD_TEST_LIBTORCH=0
2022-11-23T01:43:52.8435204Z + echo 'Environment variables'
2022-11-23T01:43:52.8435693Z Environment variables
2022-11-23T01:43:52.8435969Z + env
2022-11-23T01:43:52.8447014Z SHARD_NUMBER=2
2022-11-23T01:43:52.8447668Z NV_LIBCUBLAS_DEV_VERSION=11.9.2.110-1
2022-11-23T01:43:52.8448487Z NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-6
2022-11-23T01:43:52.8449193Z LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
2022-11-23T01:43:52.8449720Z NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.12.10-1+cuda11.6
2022-11-23T01:43:52.8450086Z UCC_HOME=/usr
2022-11-23T01:43:52.8450517Z BUILD_ENVIRONMENT=linux-bionic-cuda11.6-py3.7-gcc7-debug
2022-11-23T01:43:52.8450772Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1
2022-11-23T01:43:52.8452739Z NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-6=11.6.3.124-1
2022-11-23T01:43:52.8453105Z INSTALLED_DB=yes
2022-11-23T01:43:52.8453391Z HOSTNAME=81736b64876c
2022-11-23T01:43:52.8453684Z GITHUB_REF_NAME=master
2022-11-23T01:43:52.8454154Z GITHUB_API_URL=https://api.github.com
2022-11-23T01:43:52.8454621Z OPENSSL_DIR=/opt/openssl
2022-11-23T01:43:52.8499195Z UCC_COMMIT=1c7a7127186e7836f73aafbd7697bbc274a77eee
2022-11-23T01:43:52.8501167Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_5e9e2da6-d74e-497e-b37c-8384cc5917f3
2022-11-23T01:43:52.8501978Z CUDA_PATH=/usr/local/cuda
2022-11-23T01:43:52.8502516Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2022-11-23T01:43:52.8503318Z GITHUB_RUN_ATTEMPT=1
2022-11-23T01:43:52.8503892Z TEST_CONFIG=default
2022-11-23T01:43:52.8504508Z NV_LIBNPP_VERSION=11.6.3.124-1
2022-11-23T01:43:52.8505307Z NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-6=11.6.124-1
2022-11-23T01:43:52.8505960Z GITHUB_REPOSITORY_OWNER=pytorch
2022-11-23T01:43:52.8506529Z GITHUB_ACTIONS=true
2022-11-23T01:43:52.8507168Z NVIDIA_VISIBLE_DEVICES=all
2022-11-23T01:43:52.8507716Z NV_NVPROF_VERSION=11.6.124-1
2022-11-23T01:43:52.8508276Z NV_LIBCUSPARSE_VERSION=11.7.2.124-1
2022-11-23T01:43:52.8508758Z CI=true
2022-11-23T01:43:52.8509254Z PYTORCH_OVERRIDE_FLAKY_SIGNAL=1
2022-11-23T01:43:52.8509920Z NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-6=11.9.2.110-1
2022-11-23T01:43:52.8510233Z BRANCH=master
2022-11-23T01:43:52.8510456Z GITHUB_HEAD_REF=
2022-11-23T01:43:52.8510776Z UCX_COMMIT=31e74cac7bee0ef66bef2af72e7d86d9c282e5ab
2022-11-23T01:43:52.8511110Z GITHUB_ACTOR=pytorchmergebot
2022-11-23T01:43:52.8511438Z CMAKE_CUDA_COMPILER_LAUNCHER=/opt/cache/bin/sccache
2022-11-23T01:43:52.8511727Z GITHUB_ACTION_REF=
2022-11-23T01:43:52.8512027Z NCCL_VERSION=2.12.10-1
2022-11-23T01:43:52.8512300Z GITHUB_ACTION=__self
2022-11-23T01:43:52.8512539Z VALGRIND=ON
2022-11-23T01:43:52.8512807Z GITHUB_REF_PROTECTED=true
2022-11-23T01:43:52.8513295Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2022-11-23T01:43:52.8513968Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2022-11-23T01:43:52.8515059Z ***
2022-11-23T01:43:52.8515542Z INSTALLED_VISION=yes
2022-11-23T01:43:52.8515821Z NVARCH=x86_64
2022-11-23T01:43:52.8516161Z NV_LIBCUSPARSE_DEV_VERSION=11.7.2.124-1
2022-11-23T01:43:52.8516449Z HOME=/var/lib/jenkins
2022-11-23T01:43:52.8516977Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_5e9e2da6-d74e-497e-b37c-8384cc5917f3
2022-11-23T01:43:52.8517403Z CARGO_NET_GIT_FETCH_WITH_CLI=true
2022-11-23T01:43:52.8517692Z GITHUB_ACTION_REPOSITORY=
2022-11-23T01:43:52.8517942Z GITHUB_REF_TYPE=branch
2022-11-23T01:43:52.8518268Z NV_LIBNCCL_PACKAGE_VERSION=2.12.10-1
2022-11-23T01:43:52.8519022Z GITHUB_RETENTION_DAYS=90
2022-11-23T01:43:52.8519421Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2022-11-23T01:43:52.8519819Z NV_LIBNCCL_PACKAGE=libnccl2=2.12.10-1+cuda11.6
2022-11-23T01:43:52.8520385Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_5e9e2da6-d74e-497e-b37c-8384cc5917f3
2022-11-23T01:43:52.8520799Z DEBIAN_FRONTEND=noninteractive
2022-11-23T01:43:52.8521138Z NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
2022-11-23T01:43:52.8521439Z GITHUB_REF=refs/heads/master
2022-11-23T01:43:52.8521743Z NV_CUDA_LIB_VERSION=11.6.2-1
2022-11-23T01:43:52.8522032Z GITHUB_SHA=1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:43:52.8522328Z INSTALLED_PROTOBUF=yes
2022-11-23T01:43:52.8522594Z GITHUB_RUN_ID=3528394938
2022-11-23T01:43:52.8522928Z NV_LIBNPP_PACKAGE=libnpp-11-6=11.6.3.124-1
2022-11-23T01:43:52.8523241Z NV_LIBNCCL_PACKAGE_NAME=libnccl2
2022-11-23T01:43:52.8523615Z LIBRARY_PATH=/usr/local/cuda/lib64/stubs
2022-11-23T01:43:52.8523932Z NV_NVTX_VERSION=11.6.124-1
2022-11-23T01:43:52.8524261Z GITHUB_SERVER_URL=https://github.com
2022-11-23T01:43:52.8524553Z MAX_JOBS=14
2022-11-23T01:43:52.8524839Z NV_LIBCUBLAS_VERSION=11.9.2.110-1
2022-11-23T01:43:52.8525244Z NV_LIBCUBLAS_PACKAGE=libcublas-11-6=11.9.2.110-1
2022-11-23T01:43:52.8525898Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2022-11-23T01:43:52.8526284Z UCX_HOME=/usr
2022-11-23T01:43:52.8526536Z PYTORCH_RETRY_TEST_CASES=1
2022-11-23T01:43:52.8526893Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2022-11-23T01:43:52.8527260Z BASE_SHA=1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:43:52.8527606Z NV_CUDA_CUDART_DEV_VERSION=11.6.55-1
2022-11-23T01:43:52.8527894Z PR_BODY=
2022-11-23T01:43:52.8528138Z GITHUB_BASE_REF=
2022-11-23T01:43:52.8528368Z TERM=xterm
2022-11-23T01:43:52.8528603Z XLA_CUDA=
2022-11-23T01:43:52.8528891Z NV_NVML_DEV_VERSION=11.6.55-1
2022-11-23T01:43:52.8529169Z TORCH_CUDA_ARCH_LIST=Maxwell
2022-11-23T01:43:52.8529455Z CUDA_VERSION=11.6.2
2022-11-23T01:43:52.8529825Z NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-6
2022-11-23T01:43:52.8530130Z OPENSSL_ROOT_DIR=/opt/openssl
2022-11-23T01:43:52.8530719Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_5e9e2da6-d74e-497e-b37c-8384cc5917f3
2022-11-23T01:43:52.8531138Z GITHUB_JOB=test
2022-11-23T01:43:52.8531400Z SCCACHE_S3_KEY_PREFIX=periodic
2022-11-23T01:43:52.8531682Z COMMIT_MESSAGES=
2022-11-23T01:43:52.8531996Z NVIDIA_DRIVER_CAPABILITIES=compute,utility
2022-11-23T01:43:52.8532282Z NUM_TEST_SHARDS=4
2022-11-23T01:43:52.8532530Z PR_NUMBER=
2022-11-23T01:43:52.8533075Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_5e9e2da6-d74e-497e-b37c-8384cc5917f3
2022-11-23T01:43:52.8533445Z SHLVL=1
2022-11-23T01:43:52.8533803Z NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-6
2022-11-23T01:43:52.8534139Z GITHUB_REPOSITORY=pytorch/pytorch
2022-11-23T01:43:52.8534950Z NVIDIA_REQUIRE_CUDA=cuda>=11.6 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=450,driver<451 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471
2022-11-23T01:43:52.8535913Z NV_LIBNPP_DEV_VERSION=11.6.3.124-1
2022-11-23T01:43:52.8536842Z SHA1=1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:43:52.8537149Z GITHUB_EVENT_NAME=schedule
2022-11-23T01:43:52.8537481Z NV_CUDA_CUDART_VERSION=11.6.55-1
2022-11-23T01:43:52.8537825Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2022-11-23T01:43:52.8538117Z GITHUB_RUN_NUMBER=3445
2022-11-23T01:43:52.8538390Z GITHUB_WORKFLOW=periodic
2022-11-23T01:43:52.8538796Z PATH=/opt/cache/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-11-23T01:43:52.8539458Z NV_LIBNCCL_DEV_PACKAGE_VERSION=2.12.10-1
2022-11-23T01:43:52.8539911Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T01:43:52.8540281Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2022-11-23T01:43:52.8540545Z _=/usr/bin/env
2022-11-23T01:43:52.8540848Z + echo 'Testing pytorch'
2022-11-23T01:43:52.8541116Z Testing pytorch
2022-11-23T01:43:52.8541373Z + export LANG=C.UTF-8
2022-11-23T01:43:52.8541649Z + LANG=C.UTF-8
2022-11-23T01:43:52.8541888Z + PR_NUMBER=
2022-11-23T01:43:52.8542127Z + [[ default == \d\e\f\a\u\l\t ]]
2022-11-23T01:43:52.8542488Z + export CUDA_VISIBLE_DEVICES=0
2022-11-23T01:43:52.8542766Z + CUDA_VISIBLE_DEVICES=0
2022-11-23T01:43:52.8543027Z + export HIP_VISIBLE_DEVICES=0
2022-11-23T01:43:52.8543303Z + HIP_VISIBLE_DEVICES=0
2022-11-23T01:43:52.8543583Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]]
2022-11-23T01:43:52.8543843Z + [[ default == \s\l\o\w ]]
2022-11-23T01:43:52.8544287Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug == *slow-gradcheck* ]]
2022-11-23T01:43:52.8544784Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug == *cuda* ]]
2022-11-23T01:43:52.8545157Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2022-11-23T01:43:52.8545459Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2022-11-23T01:43:52.8545861Z + [[ default == *crossref* ]]
2022-11-23T01:43:52.8546149Z + [[ default == *dynamo* ]]
2022-11-23T01:43:52.8546398Z + [[ default == *inductor* ]]
2022-11-23T01:43:52.8546812Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug == *rocm* ]]
2022-11-23T01:43:52.8547286Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *-bazel-* ]]
2022-11-23T01:43:52.8547669Z + pip_install --user ninja==1.10.2
2022-11-23T01:43:52.8548074Z + pip install --progress-bar off --user ninja==1.10.2
2022-11-23T01:43:53.5149269Z Collecting ninja==1.10.2
2022-11-23T01:43:53.5407176Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2022-11-23T01:43:54.5358320Z Installing collected packages: ninja
2022-11-23T01:43:54.5479785Z   WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH.
2022-11-23T01:43:54.5480573Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-11-23T01:43:54.5567203Z Successfully installed ninja-1.10.2
2022-11-23T01:43:54.7497115Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-11-23T01:43:54.7498259Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-11-23T01:43:54.7498999Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug == *asan* ]]
2022-11-23T01:43:54.7499475Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug == *-tsan* ]]
2022-11-23T01:43:54.7499836Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2022-11-23T01:43:54.7500134Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2022-11-23T01:43:54.7506729Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug == *tbb* ]]
2022-11-23T01:43:54.7526456Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug == *libtorch* ]]
2022-11-23T01:43:54.7527060Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug == *-bazel-* ]]
2022-11-23T01:43:54.7527518Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug == *-tsan* ]]
2022-11-23T01:43:54.7530415Z + cd test
2022-11-23T01:43:54.7530832Z + python -c 'import torch; print(torch.__config__.show())'
2022-11-23T01:43:56.7489326Z PyTorch built with:
2022-11-23T01:43:56.7490200Z   - GCC 7.5
2022-11-23T01:43:56.7490838Z   - C++ Version: 201402
2022-11-23T01:43:56.7491699Z   - Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications
2022-11-23T01:43:56.7492262Z   - Intel(R) MKL-DNN v2.7.0 (Git Hash 650085b2f3643aad05c629425983491d63b5c289)
2022-11-23T01:43:56.7492670Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2022-11-23T01:43:56.7493057Z   - LAPACK is enabled (usually provided by MKL)
2022-11-23T01:43:56.7493824Z   - NNPACK is enabled
2022-11-23T01:43:56.7494125Z   - CPU capability usage: AVX2
2022-11-23T01:43:56.7494455Z   - CUDA Runtime 11.6
2022-11-23T01:43:56.7494858Z   - NVCC architecture flags: -gencode;arch=compute_52,code=sm_52
2022-11-23T01:43:56.7495267Z   - CuDNN 8.3.2  (built against CUDA 11.5)
2022-11-23T01:43:56.7495579Z   - Magma 2.6.1
2022-11-23T01:43:56.7499278Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Werror -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=1.14.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, 
2022-11-23T01:43:56.7501583Z 
2022-11-23T01:43:57.2331071Z + cd test
2022-11-23T01:43:57.2331647Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2022-11-23T01:43:59.1447247Z ATen/Parallel:
2022-11-23T01:43:59.1448122Z 	at::get_num_threads() : 8
2022-11-23T01:43:59.1448796Z 	at::get_num_interop_threads() : 8
2022-11-23T01:43:59.1449151Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2022-11-23T01:43:59.1449422Z 	omp_get_max_threads() : 8
2022-11-23T01:43:59.1450137Z Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications
2022-11-23T01:43:59.1450545Z 	mkl_get_max_threads() : 8
2022-11-23T01:43:59.1450990Z Intel(R) MKL-DNN v2.7.0 (Git Hash 650085b2f3643aad05c629425983491d63b5c289)
2022-11-23T01:43:59.1451358Z std::thread::hardware_concurrency() : 16
2022-11-23T01:43:59.1451659Z Environment variables:
2022-11-23T01:43:59.1451918Z 	OMP_NUM_THREADS : [not set]
2022-11-23T01:43:59.1452200Z 	MKL_NUM_THREADS : [not set]
2022-11-23T01:43:59.1452492Z ATen parallel backend: OpenMP
2022-11-23T01:43:59.1452689Z 
2022-11-23T01:43:59.6070125Z + [[ default == *backward* ]]
2022-11-23T01:43:59.6070746Z + [[ default == *xla* ]]
2022-11-23T01:43:59.6071372Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]]
2022-11-23T01:43:59.6072616Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug == *libtorch* ]]
2022-11-23T01:43:59.6073260Z + [[ default == distributed ]]
2022-11-23T01:43:59.6073517Z + [[ default == deploy ]]
2022-11-23T01:43:59.6073833Z + [[ default == *inductor_distributed* ]]
2022-11-23T01:43:59.6074091Z + [[ default == *dynamo* ]]
2022-11-23T01:43:59.6074405Z + [[ default == *dynamo* ]]
2022-11-23T01:43:59.6074887Z + [[ default == *inductor_huggingface* ]]
2022-11-23T01:43:59.6075547Z + [[ default == *inductor_timm* ]]
2022-11-23T01:43:59.6076012Z + [[ default == *inductor_torchbench* ]]
2022-11-23T01:43:59.6076323Z + [[ default == *inductor* ]]
2022-11-23T01:43:59.6076586Z + [[ 2 == 1 ]]
2022-11-23T01:43:59.6076800Z + [[ 2 == 2 ]]
2022-11-23T01:43:59.6077090Z + [[ 4 -gt 1 ]]
2022-11-23T01:43:59.6077346Z + install_torchvision
2022-11-23T01:43:59.6077577Z + local commit
2022-11-23T01:43:59.6077843Z ++ get_pinned_commit vision
2022-11-23T01:43:59.6078148Z ++ cat .github/ci_commit_pins/vision.txt
2022-11-23T01:43:59.6093953Z + commit=4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:43:59.6095093Z + pip_install --no-use-pep517 --user git+https://github.com/pytorch/vision.git@4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:43:59.6096700Z + pip install --progress-bar off --no-use-pep517 --user git+https://github.com/pytorch/vision.git@4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:44:00.1879052Z Collecting git+https://github.com/pytorch/vision.git@4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:44:00.1886629Z   Cloning https://github.com/pytorch/vision.git (to revision 4a310f26049371959617921d0eb9b001f4d262c6) to /tmp/pip-req-build-q3a_ekn6
2022-11-23T01:44:00.1919197Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-q3a_ekn6
2022-11-23T01:44:02.1175252Z   Running command git rev-parse -q --verify 'sha^4a310f26049371959617921d0eb9b001f4d262c6'
2022-11-23T01:44:02.1207287Z   Running command git fetch -q https://github.com/pytorch/vision.git 4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:44:03.4151858Z   Resolved https://github.com/pytorch/vision.git to commit 4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:44:06.7555911Z   Preparing metadata (setup.py) ... [?25l- \ done
2022-11-23T01:44:06.7656607Z [?25hRequirement already satisfied: typing_extensions in /opt/conda/lib/python3.10/site-packages (from torchvision==0.15.0a0+4a310f2) (4.4.0)
2022-11-23T01:44:06.7658963Z Requirement already satisfied: numpy in /opt/conda/lib/python3.10/site-packages (from torchvision==0.15.0a0+4a310f2) (1.21.2)
2022-11-23T01:44:06.7664414Z Requirement already satisfied: requests in /opt/conda/lib/python3.10/site-packages (from torchvision==0.15.0a0+4a310f2) (2.27.1)
2022-11-23T01:44:06.7670073Z Requirement already satisfied: torch in /opt/conda/lib/python3.10/site-packages (from torchvision==0.15.0a0+4a310f2) (1.14.0a0+git1cfd385)
2022-11-23T01:44:06.7684149Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/lib/python3.10/site-packages (from torchvision==0.15.0a0+4a310f2) (9.3.0)
2022-11-23T01:44:06.8035726Z Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.10/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (2022.9.24)
2022-11-23T01:44:06.8042553Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.10/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (1.26.8)
2022-11-23T01:44:06.8064667Z Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/lib/python3.10/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (2.0.4)
2022-11-23T01:44:06.8083197Z Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.10/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (3.3)
2022-11-23T01:44:06.8160134Z Requirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch->torchvision==0.15.0a0+4a310f2) (2.6.3)
2022-11-23T01:44:06.8163526Z Requirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch->torchvision==0.15.0a0+4a310f2) (1.11.1)
2022-11-23T01:44:06.8588354Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.10/site-packages (from sympy->torch->torchvision==0.15.0a0+4a310f2) (1.2.1)
2022-11-23T01:44:06.8683663Z Building wheels for collected packages: torchvision
2022-11-23T01:46:05.2517474Z   Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ done
2022-11-23T01:46:05.3111652Z [?25h  Created wheel for torchvision: filename=torchvision-0.15.0a0+4a310f2-cp310-cp310-linux_x86_64.whl size=17337654 sha256=835080c8160eb2facfee91ff6000b2e8886c3aed829e704db4389905034b2873
2022-11-23T01:46:05.3113796Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/f3/24/4c/0e1cb34f8a216124e00dbe933c9d8a5521e1e49600c7331113
2022-11-23T01:46:05.3168032Z Successfully built torchvision
2022-11-23T01:46:06.2248066Z Installing collected packages: torchvision
2022-11-23T01:46:07.1922385Z Successfully installed torchvision-0.15.0a0+4a310f2
2022-11-23T01:46:07.4714176Z + install_triton
2022-11-23T01:46:07.4714492Z + local commit
2022-11-23T01:46:07.4714785Z + [[ default == *rocm* ]]
2022-11-23T01:46:07.4716907Z ++ get_pinned_commit triton
2022-11-23T01:46:07.4717550Z ++ cat .github/ci_commit_pins/triton.txt
2022-11-23T01:46:07.4738537Z + commit=0d7e7532279e45672555e344646f5c19c3972331
2022-11-23T01:46:07.4739574Z + pip_install --user git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python
2022-11-23T01:46:07.4740300Z + pip install --progress-bar off --user git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python
2022-11-23T01:46:08.0720083Z Collecting git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python
2022-11-23T01:46:08.0728504Z   Cloning https://github.com/openai/triton (to revision 0d7e7532279e45672555e344646f5c19c3972331) to /tmp/pip-req-build-32iegxkn
2022-11-23T01:46:08.0757526Z   Running command git clone --filter=blob:none --quiet https://github.com/openai/triton /tmp/pip-req-build-32iegxkn
2022-11-23T01:46:08.8914287Z   Running command git rev-parse -q --verify 'sha^0d7e7532279e45672555e344646f5c19c3972331'
2022-11-23T01:46:08.8945175Z   Running command git fetch -q https://github.com/openai/triton 0d7e7532279e45672555e344646f5c19c3972331
2022-11-23T01:46:09.3540854Z   Running command git checkout -q 0d7e7532279e45672555e344646f5c19c3972331
2022-11-23T01:46:09.5647541Z   Resolved https://github.com/openai/triton to commit 0d7e7532279e45672555e344646f5c19c3972331
2022-11-23T01:46:09.5648274Z   Running command git submodule update --init --recursive -q
2022-11-23T01:46:10.3290594Z   Preparing metadata (setup.py) ... [?25l- done
2022-11-23T01:46:10.5576825Z [?25hCollecting cmake
2022-11-23T01:46:10.5833398Z   Downloading cmake-3.25.0-py2.py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23.7 MB)
2022-11-23T01:46:11.0075258Z Collecting filelock
2022-11-23T01:46:11.0132273Z   Downloading filelock-3.8.0-py3-none-any.whl (10 kB)
2022-11-23T01:46:11.0198846Z Requirement already satisfied: torch in /opt/conda/lib/python3.10/site-packages (from triton==2.0.0) (1.14.0a0+git1cfd385)
2022-11-23T01:46:11.0491872Z Requirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch->triton==2.0.0) (2.6.3)
2022-11-23T01:46:11.0494235Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.10/site-packages (from torch->triton==2.0.0) (4.4.0)
2022-11-23T01:46:11.0500003Z Requirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch->triton==2.0.0) (1.11.1)
2022-11-23T01:46:11.0743785Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.10/site-packages (from sympy->torch->triton==2.0.0) (1.2.1)
2022-11-23T01:46:11.0832967Z Building wheels for collected packages: triton
2022-11-23T01:47:10.2304590Z   Building wheel for triton (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ done
2022-11-23T01:47:10.2824561Z [?25h  Created wheel for triton: filename=triton-2.0.0-cp310-cp310-linux_x86_64.whl size=15377935 sha256=1475e7ecdfbc5b62bbb2b14a7e12daba422ed33e68070d37c84c4ebc972fb783
2022-11-23T01:47:10.2825325Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/3f/1d/23/1c2bc47d618a44f9c949aea4b7e355e737a1f1ed208f009295
2022-11-23T01:47:10.2848602Z Successfully built triton
2022-11-23T01:47:11.2676089Z Installing collected packages: cmake, filelock, triton
2022-11-23T01:47:12.9014532Z Successfully installed cmake-3.25.0 filelock-3.8.0 triton-2.0.0
2022-11-23T01:47:13.1468840Z + pip_install --user jinja2
2022-11-23T01:47:13.1469429Z + pip install --progress-bar off --user jinja2
2022-11-23T01:47:13.8057874Z Collecting jinja2
2022-11-23T01:47:13.8305603Z   Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB)
2022-11-23T01:47:13.8472394Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.10/site-packages (from jinja2) (2.1.1)
2022-11-23T01:47:14.8533448Z Installing collected packages: jinja2
2022-11-23T01:47:15.1538641Z Successfully installed jinja2-3.1.2
2022-11-23T01:47:15.3473058Z + test_python_shard 2
2022-11-23T01:47:15.3473870Z + [[ -z 4 ]]
2022-11-23T01:47:15.3474934Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --shard 2 4 --verbose
2022-11-23T01:47:18.0365237Z Ignoring disabled issues:  []
2022-11-23T01:47:18.0738613Z /var/lib/jenkins/workspace/test/run_test.py:1134: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
2022-11-23T01:47:18.0795943Z   if torch.version.cuda is not None and LooseVersion(torch.version.cuda) >= "11.6":
2022-11-23T01:47:18.0796378Z Found test time stats from artifacts
2022-11-23T01:47:18.0854858Z Selected tests:
2022-11-23T01:47:18.0855355Z  test_ops_jit
2022-11-23T01:47:18.0855742Z  test_reductions
2022-11-23T01:47:18.0856018Z  test_multiprocessing
2022-11-23T01:47:18.0856633Z  distributions/test_distributions
2022-11-23T01:47:18.0856906Z  test_autograd
2022-11-23T01:47:18.0862439Z  test_sparse_csr
2022-11-23T01:47:18.0863094Z  test_fake_tensor
2022-11-23T01:47:18.0863538Z  test_nn
2022-11-23T01:47:18.0863949Z  test_overrides
2022-11-23T01:47:18.0864463Z  test_show_pickle
2022-11-23T01:47:18.0865012Z  test_dispatch
2022-11-23T01:47:18.0865768Z  test_torch
2022-11-23T01:47:18.0866055Z  test_cpp_extensions_aot_no_ninja
2022-11-23T01:47:18.0866332Z  inductor/test_minifier
2022-11-23T01:47:18.0866614Z  lazy/test_debug_util
2022-11-23T01:47:18.0927063Z  test_deploy
2022-11-23T01:47:18.0927506Z  inductor/test_torchinductor
2022-11-23T01:47:18.0927914Z  test_masked
2022-11-23T01:47:18.0928229Z  test_utils
2022-11-23T01:47:18.0928491Z  test_view_ops
2022-11-23T01:47:18.0928818Z  test_jit
2022-11-23T01:47:18.0929163Z  nn/test_embedding
2022-11-23T01:47:18.0929558Z  dynamo/test_no_fake_tensors
2022-11-23T01:47:18.0930043Z  test_xnnpack_integration
2022-11-23T01:47:18.0930502Z  dynamo/test_aot_autograd
2022-11-23T01:47:18.0930923Z  test_schema_check
2022-11-23T01:47:18.0931378Z  dynamo/test_optimizers
2022-11-23T01:47:18.0931827Z  dynamo/test_export
2022-11-23T01:47:18.0932237Z  dynamo/test_modules
2022-11-23T01:47:18.0932697Z  dynamo/test_export_mutations
2022-11-23T01:47:18.0933146Z  test_model_dump
2022-11-23T01:47:18.0933604Z  profiler/test_memory_profiler
2022-11-23T01:47:18.0934066Z  test_datapipe
2022-11-23T01:47:18.0934473Z  dynamo/test_global
2022-11-23T01:47:18.0934924Z  dynamo/test_skip_non_tensor
2022-11-23T01:47:18.0935430Z  test_fx_passes
2022-11-23T01:47:18.0935881Z  nn/test_packed_sequence
2022-11-23T01:47:18.0936778Z  test_dynamic_shapes
2022-11-23T01:47:18.0937216Z  nn/test_module_hooks
2022-11-23T01:47:18.0937671Z  test_function_schema
2022-11-23T01:47:18.0938094Z  dynamo/test_nops
2022-11-23T01:47:18.0938521Z  test_type_info
2022-11-23T01:47:18.0938962Z  test_native_functions
2022-11-23T01:47:18.0939375Z  test_itt
2022-11-23T01:47:18.0939796Z  test_namedtensor
2022-11-23T01:47:18.0940233Z  test_module_init
2022-11-23T01:47:18.0940642Z  nn/test_dropout
2022-11-23T01:47:18.0941092Z  test_native_mha
2022-11-23T01:47:18.0941551Z  test_scatter_gather_ops
2022-11-23T01:47:18.0941992Z  test_jit_llga_fuser
2022-11-23T01:47:18.0942466Z  dynamo/test_replay_record
2022-11-23T01:47:18.0943069Z Prioritized test from test file changes.
2022-11-23T01:47:18.0943589Z reordering tests for PR:
2022-11-23T01:47:18.0944063Z prioritized: []
2022-11-23T01:47:18.0948554Z the rest: ['test_ops_jit', 'test_reductions', 'test_multiprocessing', 'distributions/test_distributions', 'test_autograd', 'test_sparse_csr', 'test_fake_tensor', 'test_nn', 'test_overrides', 'test_show_pickle', 'test_dispatch', 'test_torch', 'test_cpp_extensions_aot_no_ninja', 'inductor/test_minifier', 'lazy/test_debug_util', 'test_deploy', 'inductor/test_torchinductor', 'test_masked', 'test_utils', 'test_view_ops', 'test_jit', 'nn/test_embedding', 'dynamo/test_no_fake_tensors', 'test_xnnpack_integration', 'dynamo/test_aot_autograd', 'test_schema_check', 'dynamo/test_optimizers', 'dynamo/test_export', 'dynamo/test_modules', 'dynamo/test_export_mutations', 'test_model_dump', 'profiler/test_memory_profiler', 'test_datapipe', 'dynamo/test_global', 'dynamo/test_skip_non_tensor', 'test_fx_passes', 'nn/test_packed_sequence', 'test_dynamic_shapes', 'nn/test_module_hooks', 'test_function_schema', 'dynamo/test_nops', 'test_type_info', 'test_native_functions', 'test_itt', 'test_namedtensor', 'test_module_init', 'nn/test_dropout', 'test_native_mha', 'test_scatter_gather_ops', 'test_jit_llga_fuser', 'dynamo/test_replay_record']
2022-11-23T01:47:18.0950918Z 
2022-11-23T01:47:18.0951502Z Downloading https://raw.githubusercontent.com/pytorch/test-infra/generated-stats/stats/slow-tests.json to /var/lib/jenkins/workspace/test/.pytorch-slow-tests.json
2022-11-23T01:47:18.1139482Z Downloading https://raw.githubusercontent.com/pytorch/test-infra/generated-stats/stats/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2022-11-23T01:47:18.1366384Z parallel (file granularity) tests:
2022-11-23T01:47:18.1367075Z  inductor/test_minifier
2022-11-23T01:47:18.1367549Z  lazy/test_debug_util
2022-11-23T01:47:18.1367965Z  test_deploy
2022-11-23T01:47:18.1368207Z  inductor/test_torchinductor
2022-11-23T01:47:18.1368476Z  test_masked
2022-11-23T01:47:18.1368725Z  test_utils
2022-11-23T01:47:18.1369174Z  test_view_ops
2022-11-23T01:47:18.1369438Z  test_jit
2022-11-23T01:47:18.1369682Z  nn/test_embedding
2022-11-23T01:47:18.1369933Z  dynamo/test_no_fake_tensors
2022-11-23T01:47:18.1370221Z  test_xnnpack_integration
2022-11-23T01:47:18.1370504Z  dynamo/test_aot_autograd
2022-11-23T01:47:18.1370757Z  test_schema_check
2022-11-23T01:47:18.1371012Z  dynamo/test_optimizers
2022-11-23T01:47:18.1371279Z  dynamo/test_export
2022-11-23T01:47:18.1371514Z  dynamo/test_modules
2022-11-23T01:47:18.1371790Z  dynamo/test_export_mutations
2022-11-23T01:47:18.1372076Z  test_model_dump
2022-11-23T01:47:18.1372319Z  profiler/test_memory_profiler
2022-11-23T01:47:18.1372592Z  test_datapipe
2022-11-23T01:47:18.1372846Z  dynamo/test_global
2022-11-23T01:47:18.1373104Z  dynamo/test_skip_non_tensor
2022-11-23T01:47:18.1373371Z  test_fx_passes
2022-11-23T01:47:18.1373632Z  nn/test_packed_sequence
2022-11-23T01:47:18.1373874Z  test_dynamic_shapes
2022-11-23T01:47:18.1374139Z  nn/test_module_hooks
2022-11-23T01:47:18.1374414Z  test_function_schema
2022-11-23T01:47:18.1374642Z  dynamo/test_nops
2022-11-23T01:47:18.1374896Z  test_type_info
2022-11-23T01:47:18.1375154Z  test_native_functions
2022-11-23T01:47:18.1375381Z  test_itt
2022-11-23T01:47:18.1375635Z  test_namedtensor
2022-11-23T01:47:18.1375883Z  test_module_init
2022-11-23T01:47:18.1376521Z  nn/test_dropout
2022-11-23T01:47:18.1376832Z  test_native_mha
2022-11-23T01:47:18.1377049Z  test_scatter_gather_ops
2022-11-23T01:47:18.1377292Z  test_jit_llga_fuser
2022-11-23T01:47:18.1377564Z  dynamo/test_replay_record
2022-11-23T01:47:18.1377857Z serial (file granularity) tests:
2022-11-23T01:47:18.1378106Z  test_ops_jit
2022-11-23T01:47:18.1378356Z  test_reductions
2022-11-23T01:47:18.1378628Z  test_multiprocessing
2022-11-23T01:47:18.1378897Z  distributions/test_distributions
2022-11-23T01:47:18.1379183Z  test_autograd
2022-11-23T01:47:18.1379433Z  test_sparse_csr
2022-11-23T01:47:18.1379657Z  test_fake_tensor
2022-11-23T01:47:18.1379902Z  test_nn
2022-11-23T01:47:18.1380144Z  test_overrides
2022-11-23T01:47:18.1380377Z  test_show_pickle
2022-11-23T01:47:18.1380623Z  test_dispatch
2022-11-23T01:47:18.1380873Z  test_torch
2022-11-23T01:47:18.1381124Z  test_cpp_extensions_aot_no_ninja
2022-11-23T01:47:20.8199032Z Ignoring disabled issues:  []
2022-11-23T01:47:20.8580982Z Running inductor/test_minifier ... [2022-11-23 01:47:20.857358]
2022-11-23T01:47:20.8582448Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_minifier.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:47:20.857899]
2022-11-23T01:49:04.7865791Z 
2022-11-23T01:49:04.7869203Z Expand the folded group to see the log file of inductor/test_minifier
2022-11-23T01:49:04.7879610Z ##[group]PRINTING LOG FILE of inductor/test_minifier (/var/lib/jenkins/workspace/test/test-reports/inductor-test_minifier_y5o4zlmh)
2022-11-23T01:49:04.7880300Z 
2022-11-23T01:49:04.7880526Z Running tests...
2022-11-23T01:49:04.7881284Z ----------------------------------------------------------------------
2022-11-23T01:49:04.7882106Z Test results will be stored in test-reports/python-unittest/inductor.test_minifier
2022-11-23T01:49:04.7883046Z   test_after_aot_cpu_accuracy_backend_passes (__main__.MinifierTests) ... ok (81.933s)
2022-11-23T01:49:04.7884191Z   test_after_aot_cpu_accuracy_error (__main__.MinifierTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:49:04.7884698Z   test_after_aot_cpu_compile_backend_passes (__main__.MinifierTests) ... ok (9.215s)
2022-11-23T01:49:04.7885258Z   test_after_aot_cpu_compile_error (__main__.MinifierTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:49:04.7885779Z   test_after_aot_cpu_runtime_backend_passes (__main__.MinifierTests) ... ok (9.243s)
2022-11-23T01:49:04.7886236Z   test_after_aot_cpu_runtime_error (__main__.MinifierTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.000s)
2022-11-23T01:49:04.7886974Z   test_after_aot_cuda_accuracy_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:49:04.7887524Z   test_after_aot_cuda_accuracy_error (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:49:04.7888002Z   test_after_aot_cuda_compile_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:49:04.7888371Z   test_after_aot_cuda_compile_error (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:49:04.7888934Z   test_after_aot_cuda_runtime_backend_passes (__main__.MinifierTests) ... skip:  (0.000s)
2022-11-23T01:49:04.7889430Z   test_after_aot_cuda_runtime_error (__main__.MinifierTests) ... skip:  (0.000s)
2022-11-23T01:49:04.7889676Z 
2022-11-23T01:49:04.7889977Z ----------------------------------------------------------------------
2022-11-23T01:49:04.7890162Z Ran 12 tests in 100.397s
2022-11-23T01:49:04.7890339Z 
2022-11-23T01:49:04.7890454Z OK (skipped=9)
2022-11-23T01:49:04.7890706Z 
2022-11-23T01:49:04.7890757Z Generating XML reports...
2022-11-23T01:49:04.7891362Z Generated XML report: test-reports/python-unittest/inductor.test_minifier/TEST-MinifierTests-20221123014723.xml
2022-11-23T01:49:04.7891773Z 
2022-11-23T01:49:04.7892139Z ##[endgroup]
2022-11-23T01:49:04.7892808Z FINISHED PRINTING LOG FILE of inductor/test_minifier (/var/lib/jenkins/workspace/test/test-reports/inductor-test_minifier_y5o4zlmh)
2022-11-23T01:49:04.7893127Z 
2022-11-23T01:49:08.1240148Z Ignoring disabled issues:  []
2022-11-23T01:49:08.1609566Z Running lazy/test_debug_util ... [2022-11-23 01:49:08.160248]
2022-11-23T01:49:08.1610580Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_debug_util.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:49:08.160702]
2022-11-23T01:49:13.2376690Z 
2022-11-23T01:49:13.2377565Z Expand the folded group to see the log file of lazy/test_debug_util
2022-11-23T01:49:13.2379684Z ##[group]PRINTING LOG FILE of lazy/test_debug_util (/var/lib/jenkins/workspace/test/test-reports/lazy-test_debug_util_7l4fsp1y)
2022-11-23T01:49:13.2380122Z 
2022-11-23T01:49:13.2380268Z Running tests...
2022-11-23T01:49:13.2380853Z ----------------------------------------------------------------------
2022-11-23T01:49:13.2381366Z Test results will be stored in test-reports/python-unittest/lazy.test_debug_util
2022-11-23T01:49:13.2381801Z   test_get_python_frames (__main__.DebugUtilTest) ... ok (2.071s)
2022-11-23T01:49:13.2382029Z 
2022-11-23T01:49:13.2382297Z ----------------------------------------------------------------------
2022-11-23T01:49:13.2382635Z Ran 1 test in 2.071s
2022-11-23T01:49:13.2382778Z 
2022-11-23T01:49:13.2382875Z OK
2022-11-23T01:49:13.2383012Z 
2022-11-23T01:49:13.2383139Z Generating XML reports...
2022-11-23T01:49:13.2384076Z Generated XML report: test-reports/python-unittest/lazy.test_debug_util/TEST-DebugUtilTest-20221123014910.xml
2022-11-23T01:49:13.2384392Z 
2022-11-23T01:49:13.2384711Z ##[endgroup]
2022-11-23T01:49:13.2385258Z FINISHED PRINTING LOG FILE of lazy/test_debug_util (/var/lib/jenkins/workspace/test/test-reports/lazy-test_debug_util_7l4fsp1y)
2022-11-23T01:49:13.2385563Z 
2022-11-23T01:49:16.5651375Z Ignoring disabled issues:  []
2022-11-23T01:49:16.6017770Z Running test_deploy ... [2022-11-23 01:49:16.601080]
2022-11-23T01:49:16.6018990Z Executing ['/opt/conda/bin/python', '-bb', '-m', 'pytest', 'test_deploy.py', '-v'] ... [2022-11-23 01:49:16.601551]
2022-11-23T01:49:22.5936917Z 
2022-11-23T01:49:22.5938133Z Expand the folded group to see the log file of test_deploy
2022-11-23T01:49:22.5939188Z ##[group]PRINTING LOG FILE of test_deploy (/var/lib/jenkins/workspace/test/test-reports/test_deploy_7ztuhfdd)
2022-11-23T01:49:22.5939623Z ============================= test session starts ==============================
2022-11-23T01:49:22.5940335Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:49:22.5940733Z cachedir: .pytest_cache
2022-11-23T01:49:22.5941647Z hypothesis profile 'default' -> database=DirectoryBasedExampleDatabase('/var/lib/jenkins/workspace/test/.hypothesis/examples')
2022-11-23T01:49:22.5942169Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:49:22.5942757Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:49:22.5943170Z collecting ... collected 1 item
2022-11-23T01:49:22.5943547Z Running 1 items in this shard: test/test_deploy.py::TestFreezer::test_compile_string
2022-11-23T01:49:22.5943808Z 
2022-11-23T01:49:22.5944018Z test_deploy.py::TestFreezer::test_compile_string PASSED                  [100%]
2022-11-23T01:49:22.5944254Z 
2022-11-23T01:49:22.5944416Z ============================== 1 passed in 3.96s ===============================
2022-11-23T01:49:22.5944622Z 
2022-11-23T01:49:22.5944958Z ##[endgroup]
2022-11-23T01:49:22.5945477Z FINISHED PRINTING LOG FILE of test_deploy (/var/lib/jenkins/workspace/test/test-reports/test_deploy_7ztuhfdd)
2022-11-23T01:49:22.5945765Z 
2022-11-23T01:49:25.9211116Z Ignoring disabled issues:  []
2022-11-23T01:49:25.9579235Z Running inductor/test_torchinductor ... [2022-11-23 01:49:25.957214]
2022-11-23T01:49:25.9582339Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:49:25.957852]
2022-11-23T02:04:38.1322052Z 
2022-11-23T02:04:38.1322641Z Expand the folded group to see the log file of inductor/test_torchinductor
2022-11-23T02:04:38.1323682Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_cf7j23ej)
2022-11-23T02:04:38.1463558Z 
2022-11-23T02:04:38.1464424Z Running tests...
2022-11-23T02:04:38.1465400Z ----------------------------------------------------------------------
2022-11-23T02:04:38.1466068Z Test results will be stored in test-reports/python-unittest/inductor.test_torchinductor
2022-11-23T02:04:38.1466808Z   test_auto_simd (__main__.CPUReproTests) ... ok (1.916s)
2022-11-23T02:04:38.1468747Z   test_complex_memory_overlap (__main__.CPUReproTests) ... ok (0.003s)
2022-11-23T02:04:38.1474290Z   test_conv_stride_constraints (__main__.CPUReproTests) ... [2022-11-23 01:49:36,563] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T02:04:38.1475837Z [2022-11-23 01:49:39,277] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j2/cj2c62qpm7y5vtvzk3t22xhpx7njkgoijdrz3jq57okpkijzw722.py
2022-11-23T02:04:38.1477190Z [2022-11-23 01:49:39,278] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T02:04:38.1478301Z [2022-11-23 01:49:39,290] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T02:04:38.1480062Z [2022-11-23 01:49:39,297] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7i/c7itsynl2vkz7jitbl4iklwk2omp6o5ztdmjbaivkv3lhw2d65e4.py
2022-11-23T02:04:38.1481140Z [2022-11-23 01:49:39,297] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T02:04:38.1481395Z 
2022-11-23T02:04:38.1481562Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.1481807Z import torch
2022-11-23T02:04:38.1482067Z import random
2022-11-23T02:04:38.1482367Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.1482792Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.1482998Z 
2022-11-23T02:04:38.1483998Z aten = torch.ops.aten
2022-11-23T02:04:38.1484535Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.1485303Z async_compile = AsyncCompile()
2022-11-23T02:04:38.1485689Z 
2022-11-23T02:04:38.1485689Z 
2022-11-23T02:04:38.1486024Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.1486539Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.1486962Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.1487277Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.1487701Z {
2022-11-23T02:04:38.1487927Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.1488214Z     {
2022-11-23T02:04:38.1488607Z         #pragma omp for  collapse(3)
2022-11-23T02:04:38.1489150Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:38.1489618Z         {
2022-11-23T02:04:38.1490050Z             for(long i1=0; i1<5; i1+=1)
2022-11-23T02:04:38.1490482Z             {
2022-11-23T02:04:38.1491087Z                 for(long i2=0; i2<256; i2+=1)
2022-11-23T02:04:38.1491519Z                 {
2022-11-23T02:04:38.1491933Z                     {
2022-11-23T02:04:38.1492307Z                         {
2022-11-23T02:04:38.1492857Z                             auto tmp0 = in_ptr0[i2 + (256*i1) + (1280*i0)];
2022-11-23T02:04:38.1493469Z                             out_ptr0[i1 + (5*i2) + (1280*i0)] = tmp0;
2022-11-23T02:04:38.1493962Z                         }
2022-11-23T02:04:38.1494375Z                     }
2022-11-23T02:04:38.1494782Z                 }
2022-11-23T02:04:38.1495137Z             }
2022-11-23T02:04:38.1495520Z         }
2022-11-23T02:04:38.1495909Z     }
2022-11-23T02:04:38.1496684Z }
2022-11-23T02:04:38.1497168Z ''')
2022-11-23T02:04:38.1497362Z 
2022-11-23T02:04:38.1497438Z 
2022-11-23T02:04:38.1497669Z async_compile.wait(globals())
2022-11-23T02:04:38.1498138Z del async_compile
2022-11-23T02:04:38.1498442Z 
2022-11-23T02:04:38.1498594Z def call(args):
2022-11-23T02:04:38.1499029Z     inp_1, weight_1 = args
2022-11-23T02:04:38.1499498Z     args.clear()
2022-11-23T02:04:38.1500225Z     buf0 = empty_strided((2, 5, 16, 16), (1280, 1, 80, 5), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.1500906Z     kernel_cpp_0(c_void_p(inp_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.1501497Z     del inp_1
2022-11-23T02:04:38.1502110Z     buf1 = aten.convolution(buf0, weight_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T02:04:38.1502748Z     assert_size_stride(buf1, (2, 6, 14, 14), (1176, 1, 84, 6))
2022-11-23T02:04:38.1503320Z     del buf0
2022-11-23T02:04:38.1503801Z     del weight_1
2022-11-23T02:04:38.1504228Z     return (buf1, )
2022-11-23T02:04:38.1504540Z 
2022-11-23T02:04:38.1504549Z 
2022-11-23T02:04:38.1504812Z if __name__ == "__main__":
2022-11-23T02:04:38.1505473Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.1506100Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.1507078Z     inp_1 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.1508002Z     weight_1 = rand_strided((6, 5, 3, 3), (45, 1, 15, 5), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.1508728Z     print_performance(lambda: call([inp_1, weight_1]))
2022-11-23T02:04:38.1509385Z 
2022-11-23T02:04:38.1509412Z 
2022-11-23T02:04:38.1509671Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.1510174Z import torch
2022-11-23T02:04:38.1510634Z import random
2022-11-23T02:04:38.1511124Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.1511738Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.1512246Z 
2022-11-23T02:04:38.1512395Z aten = torch.ops.aten
2022-11-23T02:04:38.1512952Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.1513589Z async_compile = AsyncCompile()
2022-11-23T02:04:38.1513903Z 
2022-11-23T02:04:38.1513903Z 
2022-11-23T02:04:38.1514106Z async_compile.wait(globals())
2022-11-23T02:04:38.1514583Z del async_compile
2022-11-23T02:04:38.1514816Z 
2022-11-23T02:04:38.1515027Z def call(args):
2022-11-23T02:04:38.1515371Z     inp_1, weight_1 = args
2022-11-23T02:04:38.1515857Z     args.clear()
2022-11-23T02:04:38.1516437Z     buf0 = aten.convolution(inp_1, weight_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T02:04:38.1517088Z     assert_size_stride(buf0, (2, 6, 14, 14), (1176, 196, 14, 1))
2022-11-23T02:04:38.1517610Z     del inp_1
2022-11-23T02:04:38.1517951Z     del weight_1
2022-11-23T02:04:38.1518395Z     return (buf0, )
2022-11-23T02:04:38.1518685Z 
2022-11-23T02:04:38.1518866Z 
2022-11-23T02:04:38.1519099Z if __name__ == "__main__":
2022-11-23T02:04:38.1519617Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.1520243Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.1521160Z     inp_1 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.1522017Z     weight_1 = rand_strided((6, 5, 3, 3), (45, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.1522612Z     print_performance(lambda: call([inp_1, weight_1]))
2022-11-23T02:04:38.1523025Z 
2022-11-23T02:04:38.1523196Z ok (2.752s)
2022-11-23T02:04:38.1524258Z   test_inplace_add_alpha (__main__.CPUReproTests) ... [2022-11-23 01:49:39,308] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T02:04:38.1525645Z [2022-11-23 01:49:41,873] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3n/c3nhglfhbagbp2mvmllkpvzzqoejgr3xf2fgmqrcxukuaidoynjh.py
2022-11-23T02:04:38.1526876Z [2022-11-23 01:49:41,873] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T02:04:38.1527398Z 
2022-11-23T02:04:38.1527620Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.1528240Z import torch
2022-11-23T02:04:38.1528740Z import random
2022-11-23T02:04:38.1529164Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.1529820Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.1530234Z 
2022-11-23T02:04:38.1530471Z aten = torch.ops.aten
2022-11-23T02:04:38.1531015Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.1531668Z async_compile = AsyncCompile()
2022-11-23T02:04:38.1532038Z 
2022-11-23T02:04:38.1532051Z 
2022-11-23T02:04:38.1532426Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.1533164Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.1534001Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.1534633Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.1535209Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.1535663Z {
2022-11-23T02:04:38.1536087Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.1536902Z     {
2022-11-23T02:04:38.1537296Z         #pragma omp for 
2022-11-23T02:04:38.1537748Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:38.1538196Z         {
2022-11-23T02:04:38.1538815Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.1539455Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:38.1540494Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(0.55));
2022-11-23T02:04:38.1541055Z             auto tmp3 = tmp1 * tmp2;
2022-11-23T02:04:38.1541572Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T02:04:38.1542028Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.1542501Z         }
2022-11-23T02:04:38.1542939Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.1543430Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:38.1543938Z         {
2022-11-23T02:04:38.1544377Z             auto tmp0 = out_ptr0[i0];
2022-11-23T02:04:38.1544912Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:38.1545405Z             auto tmp2 = static_cast<float>(0.55);
2022-11-23T02:04:38.1545945Z             auto tmp3 = tmp1 * tmp2;
2022-11-23T02:04:38.1546432Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T02:04:38.1546854Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:38.1547286Z         }
2022-11-23T02:04:38.1547687Z     }
2022-11-23T02:04:38.1548037Z }
2022-11-23T02:04:38.1548554Z ''')
2022-11-23T02:04:38.1548798Z 
2022-11-23T02:04:38.1548798Z 
2022-11-23T02:04:38.1549068Z async_compile.wait(globals())
2022-11-23T02:04:38.1549532Z del async_compile
2022-11-23T02:04:38.1549827Z 
2022-11-23T02:04:38.1621428Z def call(args):
2022-11-23T02:04:38.1622445Z     x_1, y_1 = args
2022-11-23T02:04:38.1622911Z     args.clear()
2022-11-23T02:04:38.1623469Z     kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(y_1.data_ptr()), c_void_p(x_1.data_ptr()))
2022-11-23T02:04:38.1624027Z     del y_1
2022-11-23T02:04:38.1624376Z     return (x_1, )
2022-11-23T02:04:38.1624638Z 
2022-11-23T02:04:38.1624652Z 
2022-11-23T02:04:38.1624862Z if __name__ == "__main__":
2022-11-23T02:04:38.1625360Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.1625977Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.1626894Z     x_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.1627689Z     y_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.1628335Z     print_performance(lambda: call([x_1, y_1]))
2022-11-23T02:04:38.1628687Z 
2022-11-23T02:04:38.1628816Z ok (2.576s)
2022-11-23T02:04:38.1629902Z   test_inplace_squeeze_needed (__main__.CPUReproTests) ... [2022-11-23 01:49:41,879] torch._dynamo.eval_frame: [DEBUG] skipping __init__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T02:04:38.1631051Z [2022-11-23 01:49:41,879] torch._dynamo.eval_frame: [DEBUG] skipping __enter__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T02:04:38.1632129Z [2022-11-23 01:49:41,879] torch._dynamo.eval_frame: [DEBUG] skipping __init__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T02:04:38.1633072Z [2022-11-23 01:49:41,879] torch._dynamo.eval_frame: [DEBUG] skipping __enter__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T02:04:38.1634223Z [2022-11-23 01:49:41,880] torch._dynamo.eval_frame: [DEBUG] skipping enable_dynamic /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T02:04:38.1635284Z [2022-11-23 01:49:41,882] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:38.1636435Z [2022-11-23 01:49:41,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4698
2022-11-23T02:04:38.1637444Z [2022-11-23 01:49:41,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF mod []
2022-11-23T02:04:38.1638329Z [2022-11-23 01:49:41,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T02:04:38.1639376Z [2022-11-23 01:49:41,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T02:04:38.1640382Z [2022-11-23 01:49:41,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.1641413Z [2022-11-23 01:49:41,905] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:38.1642301Z [2022-11-23 01:49:41,906] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:38.1643593Z [2022-11-23 01:49:41,923] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:38.1644463Z [2022-11-23 01:49:41,923] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.1645104Z  __compiled_fn_0 <eval_with_key>.7 opcode, name, target, args, kwargs
2022-11-23T02:04:38.1645624Z placeholder, x, x, (), {}
2022-11-23T02:04:38.1646105Z call_module, mod_0, mod_0, (x,), {}
2022-11-23T02:04:38.1646581Z call_module, mod_1, mod_1, (mod_0,), {}
2022-11-23T02:04:38.1647065Z call_module, mod_2, mod_2, (mod_1,), {}
2022-11-23T02:04:38.1647539Z output, output, output, ((mod_2,),), {}
2022-11-23T02:04:38.1647802Z 
2022-11-23T02:04:38.1648632Z [2022-11-23 01:49:41,924] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4696 
2022-11-23T02:04:38.1649369Z 4698           0 LOAD_DEREF               0 (mod)
2022-11-23T02:04:38.1649781Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:38.1650246Z                4 CALL_FUNCTION            1
2022-11-23T02:04:38.1650761Z                6 RETURN_VALUE
2022-11-23T02:04:38.1650966Z 
2022-11-23T02:04:38.1651146Z  
2022-11-23T02:04:38.1652267Z [2022-11-23 01:49:41,924] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4696 
2022-11-23T02:04:38.1653033Z 4696           0 LOAD_GLOBAL              0 (__compiled_fn_0)
2022-11-23T02:04:38.1653496Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:38.1653975Z                4 CALL_FUNCTION            1
2022-11-23T02:04:38.1654481Z                6 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.1654947Z                8 RETURN_VALUE
2022-11-23T02:04:38.1655143Z 
2022-11-23T02:04:38.1655290Z  
2022-11-23T02:04:38.1655977Z [2022-11-23 01:49:42,071] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.1656795Z  - 
2022-11-23T02:04:38.1657278Z             local 'x' TENSOR_MATCH
2022-11-23T02:04:38.1657699Z             {
2022-11-23T02:04:38.1658242Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.1658736Z                 'code': None,
2022-11-23T02:04:38.1659428Z                 'obj_weakref': <weakref at 0x7fa61aa0a7a0; to 'Tensor' at 0x7fa61a927e20>
2022-11-23T02:04:38.1660352Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.1660837Z             }
2022-11-23T02:04:38.1661271Z             
2022-11-23T02:04:38.1661608Z  - 
2022-11-23T02:04:38.1662123Z             local 'mod' NN_MODULE
2022-11-23T02:04:38.1662501Z             {
2022-11-23T02:04:38.1663021Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.1663666Z                 'code': ['___check_obj_id(mod, 140351537011280)'],
2022-11-23T02:04:38.1664455Z                 'obj_weakref': <weakref at 0x7fa62c37f290; to 'Sequential' at 0x7fa62381da50>
2022-11-23T02:04:38.1665388Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.1665959Z             }
2022-11-23T02:04:38.1666295Z             
2022-11-23T02:04:38.1666661Z  - 
2022-11-23T02:04:38.1667159Z             local_nn_module 'mod[0]' NN_MODULE
2022-11-23T02:04:38.1667655Z             {
2022-11-23T02:04:38.1668153Z                 'guard_types': None,
2022-11-23T02:04:38.1668594Z                 'code': None,
2022-11-23T02:04:38.1669192Z                 'obj_weakref': None
2022-11-23T02:04:38.1669695Z                 'guarded_class': None
2022-11-23T02:04:38.1670131Z             }
2022-11-23T02:04:38.1670499Z             
2022-11-23T02:04:38.1670909Z  - 
2022-11-23T02:04:38.1671430Z             local_nn_module 'mod[1]' NN_MODULE
2022-11-23T02:04:38.1671850Z             {
2022-11-23T02:04:38.1672318Z                 'guard_types': None,
2022-11-23T02:04:38.1672789Z                 'code': None,
2022-11-23T02:04:38.1673655Z                 'obj_weakref': None
2022-11-23T02:04:38.1674168Z                 'guarded_class': None
2022-11-23T02:04:38.1674558Z             }
2022-11-23T02:04:38.1674929Z             
2022-11-23T02:04:38.1675329Z  - 
2022-11-23T02:04:38.1675901Z             local_nn_module 'mod[2]' NN_MODULE
2022-11-23T02:04:38.1676297Z             {
2022-11-23T02:04:38.1676811Z                 'guard_types': None,
2022-11-23T02:04:38.1677305Z                 'code': None,
2022-11-23T02:04:38.1677780Z                 'obj_weakref': None
2022-11-23T02:04:38.1678328Z                 'guarded_class': None
2022-11-23T02:04:38.1678719Z             }
2022-11-23T02:04:38.1679070Z             
2022-11-23T02:04:38.1679941Z [2022-11-23 01:49:42,071] torch._dynamo.eval_frame: [DEBUG] skipping _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T02:04:38.1681159Z [2022-11-23 01:49:42,071] torch._dynamo.eval_frame: [DEBUG] skipping nothing /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T02:04:38.1682270Z [2022-11-23 01:49:42,270] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 0
2022-11-23T02:04:38.1683713Z [2022-11-23 01:49:44,982] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xo/cxoneyjg5wgh4irxixqar5hrs345rili4dkn3eyms4pmonw5wnvp.py
2022-11-23T02:04:38.1685062Z [2022-11-23 01:49:44,982] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 0
2022-11-23T02:04:38.1686204Z [2022-11-23 01:49:44,987] torch._dynamo.eval_frame: [DEBUG] skipping __exit__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T02:04:38.1687337Z [2022-11-23 01:49:44,987] torch._dynamo.eval_frame: [DEBUG] skipping __exit__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T02:04:38.1687786Z 
2022-11-23T02:04:38.1688032Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.1688421Z import torch
2022-11-23T02:04:38.1688858Z import random
2022-11-23T02:04:38.1689405Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.1689993Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.1690297Z 
2022-11-23T02:04:38.1690508Z aten = torch.ops.aten
2022-11-23T02:04:38.1691072Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.1691622Z async_compile = AsyncCompile()
2022-11-23T02:04:38.1691977Z 
2022-11-23T02:04:38.1692011Z 
2022-11-23T02:04:38.1692391Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.1693126Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.1693886Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:38.1694440Z                        float* __restrict__ in_out_ptr1,
2022-11-23T02:04:38.1694947Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.1695524Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:38.1696018Z                        const float* __restrict__ in_ptr3,
2022-11-23T02:04:38.1696847Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.1697358Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:38.1697883Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:38.1698345Z                        bool* __restrict__ out_ptr4)
2022-11-23T02:04:38.1698770Z {
2022-11-23T02:04:38.1699215Z     auto in_ptr0 = in_out_ptr0;
2022-11-23T02:04:38.1699619Z     auto out_ptr1 = in_out_ptr1;
2022-11-23T02:04:38.1700170Z     {
2022-11-23T02:04:38.1700808Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:38.1701457Z         float tmp3 = 0;
2022-11-23T02:04:38.1701935Z         auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T02:04:38.1702479Z         #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.1702993Z         {
2022-11-23T02:04:38.1703411Z             #pragma omp for reduction(+:tmp3_vec) 
2022-11-23T02:04:38.1703970Z             for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:38.1704729Z             {
2022-11-23T02:04:38.1705177Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.1705832Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:38.1706467Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.1706855Z                 tmp3_vec += tmp2;
2022-11-23T02:04:38.1707295Z             }
2022-11-23T02:04:38.1707979Z             tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T02:04:38.1708698Z             #pragma omp for simd simdlen(4) reduction(+:tmp3) 
2022-11-23T02:04:38.1709206Z             for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:38.1709656Z             {
2022-11-23T02:04:38.1710040Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.1710509Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:38.1710968Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.1711436Z                 tmp3 += tmp2;
2022-11-23T02:04:38.1711801Z             }
2022-11-23T02:04:38.1712171Z         }
2022-11-23T02:04:38.1712578Z         out_ptr0[0] = tmp3;
2022-11-23T02:04:38.1712888Z     }
2022-11-23T02:04:38.1713207Z     {
2022-11-23T02:04:38.1714029Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:38.1714644Z         float tmp8 = 0;
2022-11-23T02:04:38.1715189Z         auto tmp8_vec = at::vec::Vectorized<float>(tmp8);
2022-11-23T02:04:38.1715606Z         float tmp9 = 0;
2022-11-23T02:04:38.1716156Z         auto tmp9_vec = at::vec::Vectorized<float>(tmp9);
2022-11-23T02:04:38.1716676Z         #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.1717146Z         {
2022-11-23T02:04:38.1717673Z             #pragma omp for reduction(+:tmp8_vec) reduction(+:tmp9_vec) 
2022-11-23T02:04:38.1718186Z             for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:38.1718571Z             {
2022-11-23T02:04:38.1719104Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.1719767Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:38.1720373Z                 auto tmp3 = at::vec::Vectorized<float>(out_ptr0[0]);
2022-11-23T02:04:38.1720921Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.1721409Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T02:04:38.1722031Z                 auto tmp5 = tmp3 / tmp4;
2022-11-23T02:04:38.1722747Z                 auto tmp6 = tmp2 - tmp5;
2022-11-23T02:04:38.1723275Z                 auto tmp7 = tmp6.pow(2);
2022-11-23T02:04:38.1723692Z                 tmp8_vec += tmp7;
2022-11-23T02:04:38.1724142Z                 tmp9_vec += tmp2;
2022-11-23T02:04:38.1724555Z             }
2022-11-23T02:04:38.1725151Z             tmp8 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp8_vec);
2022-11-23T02:04:38.1726094Z             tmp9 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp9_vec);
2022-11-23T02:04:38.1726843Z             #pragma omp for simd simdlen(4) reduction(+:tmp8) reduction(+:tmp9) 
2022-11-23T02:04:38.1727419Z             for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:38.1727777Z             {
2022-11-23T02:04:38.1728242Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.1728661Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:38.1729123Z                 auto tmp3 = out_ptr0[0];
2022-11-23T02:04:38.1729528Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.1730072Z                 auto tmp4 = static_cast<float>(10);
2022-11-23T02:04:38.1730515Z                 auto tmp5 = tmp3 / tmp4;
2022-11-23T02:04:38.1731053Z                 auto tmp6 = tmp2 - tmp5;
2022-11-23T02:04:38.1731568Z                 auto tmp7 = tmp6 * tmp6;
2022-11-23T02:04:38.1731999Z                 tmp8 += tmp7;
2022-11-23T02:04:38.1732498Z                 tmp9 += tmp2;
2022-11-23T02:04:38.1732851Z             }
2022-11-23T02:04:38.1733282Z         }
2022-11-23T02:04:38.1733656Z         out_ptr1[0] = tmp8;
2022-11-23T02:04:38.1734110Z         out_ptr2[0] = tmp9;
2022-11-23T02:04:38.1734492Z     }
2022-11-23T02:04:38.1734965Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.1735431Z     {
2022-11-23T02:04:38.1735818Z         #pragma omp for 
2022-11-23T02:04:38.1737362Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:38.1737850Z         {
2022-11-23T02:04:38.1738214Z             {
2022-11-23T02:04:38.1738556Z                 {
2022-11-23T02:04:38.1738981Z                     auto tmp0 = in_out_ptr0[i0];
2022-11-23T02:04:38.1739471Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:38.1739904Z                     auto tmp3 = out_ptr2[0];
2022-11-23T02:04:38.1740421Z                     auto tmp7 = out_ptr1[0];
2022-11-23T02:04:38.1740898Z                     auto tmp14 = in_ptr2[i0];
2022-11-23T02:04:38.1741333Z                     auto tmp16 = in_ptr3[i0];
2022-11-23T02:04:38.1741813Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.1742302Z                     auto tmp4 = static_cast<float>(10);
2022-11-23T02:04:38.1743087Z                     auto tmp5 = tmp3 / tmp4;
2022-11-23T02:04:38.1743705Z                     auto tmp6 = tmp2 - tmp5;
2022-11-23T02:04:38.1744193Z                     auto tmp8 = tmp7 / tmp4;
2022-11-23T02:04:38.1744806Z                     auto tmp9 = static_cast<float>(1e-05);
2022-11-23T02:04:38.1745249Z                     auto tmp10 = tmp8 + tmp9;
2022-11-23T02:04:38.1745793Z                     auto tmp11 = std::sqrt(tmp10);
2022-11-23T02:04:38.1746294Z                     auto tmp12 = 1 / tmp11;
2022-11-23T02:04:38.1746698Z                     auto tmp13 = tmp6 * tmp12;
2022-11-23T02:04:38.1747221Z                     auto tmp15 = tmp13 * tmp14;
2022-11-23T02:04:38.1747751Z                     auto tmp17 = tmp15 + tmp16;
2022-11-23T02:04:38.1748288Z                     auto tmp18 = tmp17 * (tmp17>0);
2022-11-23T02:04:38.1748789Z                     auto tmp19 = static_cast<float>(0);
2022-11-23T02:04:38.1749319Z                     auto tmp20 = tmp18 <= tmp19;
2022-11-23T02:04:38.1749787Z                     in_out_ptr0[i0] = tmp13;
2022-11-23T02:04:38.1750186Z                     out_ptr3[i0] = tmp18;
2022-11-23T02:04:38.1750686Z                     out_ptr4[i0] = tmp20;
2022-11-23T02:04:38.1751148Z                 }
2022-11-23T02:04:38.1751483Z             }
2022-11-23T02:04:38.1751851Z         }
2022-11-23T02:04:38.1752258Z         #pragma omp single
2022-11-23T02:04:38.1752589Z         {
2022-11-23T02:04:38.1752987Z             {
2022-11-23T02:04:38.1753352Z                 {
2022-11-23T02:04:38.1753756Z                     auto tmp0 = out_ptr1[0];
2022-11-23T02:04:38.1754230Z                     auto tmp1 = static_cast<float>(10);
2022-11-23T02:04:38.1754777Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:38.1755421Z                     auto tmp3 = static_cast<float>(1e-05);
2022-11-23T02:04:38.1755909Z                     auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:38.1756433Z                     auto tmp5 = std::sqrt(tmp4);
2022-11-23T02:04:38.1756862Z                     auto tmp6 = 1 / tmp5;
2022-11-23T02:04:38.1757330Z                     auto tmp7 = tmp6 / tmp1;
2022-11-23T02:04:38.1757854Z                     in_out_ptr1[0] = tmp7;
2022-11-23T02:04:38.1758236Z                 }
2022-11-23T02:04:38.1758580Z             }
2022-11-23T02:04:38.1758967Z         }
2022-11-23T02:04:38.1759303Z     }
2022-11-23T02:04:38.1759633Z }
2022-11-23T02:04:38.1760059Z ''')
2022-11-23T02:04:38.1760259Z 
2022-11-23T02:04:38.1760259Z 
2022-11-23T02:04:38.1760485Z async_compile.wait(globals())
2022-11-23T02:04:38.1760957Z del async_compile
2022-11-23T02:04:38.1761198Z 
2022-11-23T02:04:38.1761389Z def call(args):
2022-11-23T02:04:38.1761851Z     primals_1, primals_2, primals_3, primals_4, primals_5 = args
2022-11-23T02:04:38.1762687Z     args.clear()
2022-11-23T02:04:38.1763350Z     buf0 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.1764103Z     aten.mm.out(as_strided(primals_5, (1, 10), (10, 1)), as_strided(primals_1, (10, 10), (1, 10)), out=buf0)
2022-11-23T02:04:38.1764623Z     del primals_1
2022-11-23T02:04:38.1765320Z     buf1 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.1766132Z     buf2 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.1766844Z     buf3 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.1767425Z     buf4 = as_strided(buf0, (10, ), (1, )); del buf0  # reuse
2022-11-23T02:04:38.1768129Z     buf5 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.1768877Z     buf6 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.1769378Z     buf7 = buf2; del buf2  # reuse
2022-11-23T02:04:38.1770352Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()))
2022-11-23T02:04:38.1771528Z     del buf1
2022-11-23T02:04:38.1772010Z     del buf3
2022-11-23T02:04:38.1772367Z     del primals_2
2022-11-23T02:04:38.1772792Z     del primals_4
2022-11-23T02:04:38.1773333Z     return (buf5, primals_3, as_strided(primals_5, (1, 10), (10, 1)), buf4, buf6, buf7, )
2022-11-23T02:04:38.1773726Z 
2022-11-23T02:04:38.1773751Z 
2022-11-23T02:04:38.1773910Z if __name__ == "__main__":
2022-11-23T02:04:38.1774444Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.1775004Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.1775804Z     primals_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.1776973Z     primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.1777788Z     primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.1778629Z     primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.1779451Z     primals_5 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.1780162Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5]))
2022-11-23T02:04:38.1780561Z 
2022-11-23T02:04:38.1780779Z ok (3.113s)
2022-11-23T02:04:38.1781753Z   test_masked_fill_softmax (__main__.CPUReproTests) ... [2022-11-23 01:49:44,994] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:38.1782963Z [2022-11-23 01:49:44,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4853
2022-11-23T02:04:38.1783963Z [2022-11-23 01:49:44,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask []
2022-11-23T02:04:38.1784998Z [2022-11-23 01:49:44,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T02:04:38.1786045Z [2022-11-23 01:49:44,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [GetAttrVariable(TensorVariable(), to)]
2022-11-23T02:04:38.1787535Z [2022-11-23 01:49:44,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [GetAttrVariable(TensorVariable(), to), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.1788890Z [2022-11-23 01:49:44,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), ConstantVariable(dtype)]
2022-11-23T02:04:38.1789920Z [2022-11-23 01:49:45,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mask [TensorVariable()]
2022-11-23T02:04:38.1791097Z [2022-11-23 01:49:45,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4854
2022-11-23T02:04:38.1792395Z [2022-11-23 01:49:45,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.1793580Z [2022-11-23 01:49:45,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.1795022Z [2022-11-23 01:49:45,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(<built-in method masked_fill of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.1796379Z [2022-11-23 01:49:45,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(<built-in method masked_fill of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.1797810Z [2022-11-23 01:49:45,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -33.0 [TorchVariable(<built-in method masked_fill of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.1799365Z [2022-11-23 01:49:45,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method masked_fill of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:38.1800760Z [2022-11-23 01:49:45,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T02:04:38.1801972Z [2022-11-23 01:49:45,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4855
2022-11-23T02:04:38.1803017Z [2022-11-23 01:49:45,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.1804198Z [2022-11-23 01:49:45,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.1806235Z [2022-11-23 01:49:45,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method softmax of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.1811711Z [2022-11-23 01:49:45,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method softmax of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.1814283Z [2022-11-23 01:49:45,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method softmax of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.1815493Z [2022-11-23 01:49:45,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.1816749Z [2022-11-23 01:49:45,011] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:38.1817738Z [2022-11-23 01:49:45,012] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:38.1818741Z [2022-11-23 01:49:45,022] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:38.1819642Z [2022-11-23 01:49:45,023] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.1820269Z  __compiled_fn_1 <eval_with_key>.18 opcode, name, target, args, kwargs
2022-11-23T02:04:38.1820780Z placeholder, value, value, (), {}
2022-11-23T02:04:38.1821305Z placeholder, mask, mask, (), {}
2022-11-23T02:04:38.1821885Z call_method, to, to, (mask, torch.bool), {}
2022-11-23T02:04:38.1822743Z call_function, masked_fill, <built-in method masked_fill of type object at 0x7fa5855aec60>, (value, to, -33.0), {}
2022-11-23T02:04:38.1823720Z call_function, softmax, <built-in method softmax of type object at 0x7fa5855aec60>, (masked_fill, -1), {}
2022-11-23T02:04:38.1824425Z output, output, output, ((softmax,),), {}
2022-11-23T02:04:38.1824703Z 
2022-11-23T02:04:38.1825476Z [2022-11-23 01:49:45,023] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4852 
2022-11-23T02:04:38.1826575Z 4853           0 LOAD_FAST                1 (mask)
2022-11-23T02:04:38.1827083Z                2 LOAD_METHOD              0 (to)
2022-11-23T02:04:38.1827555Z                4 LOAD_GLOBAL              1 (torch)
2022-11-23T02:04:38.1828035Z                6 LOAD_ATTR                2 (bool)
2022-11-23T02:04:38.1828490Z                8 CALL_METHOD              1
2022-11-23T02:04:38.1828978Z               10 STORE_FAST               1 (mask)
2022-11-23T02:04:38.1829218Z 
2022-11-23T02:04:38.1829476Z 4854          12 LOAD_GLOBAL              1 (torch)
2022-11-23T02:04:38.1829978Z               14 LOAD_METHOD              3 (masked_fill)
2022-11-23T02:04:38.1830431Z               16 LOAD_FAST                0 (value)
2022-11-23T02:04:38.1830906Z               18 LOAD_FAST                1 (mask)
2022-11-23T02:04:38.1831503Z               20 LOAD_CONST               1 (-33.0)
2022-11-23T02:04:38.1832021Z               22 CALL_METHOD              3
2022-11-23T02:04:38.1832437Z               24 STORE_FAST               2 (x)
2022-11-23T02:04:38.1832713Z 
2022-11-23T02:04:38.1832915Z 4855          26 LOAD_GLOBAL              1 (torch)
2022-11-23T02:04:38.1833414Z               28 LOAD_METHOD              4 (softmax)
2022-11-23T02:04:38.1833949Z               30 LOAD_FAST                2 (x)
2022-11-23T02:04:38.1834705Z               32 LOAD_CONST               2 (-1)
2022-11-23T02:04:38.1835198Z               34 CALL_METHOD              2
2022-11-23T02:04:38.1835669Z               36 RETURN_VALUE
2022-11-23T02:04:38.1835923Z 
2022-11-23T02:04:38.1836042Z  
2022-11-23T02:04:38.1837062Z [2022-11-23 01:49:45,023] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4852 
2022-11-23T02:04:38.1837856Z 4852           0 LOAD_GLOBAL              5 (__compiled_fn_1)
2022-11-23T02:04:38.1838461Z                2 LOAD_FAST                0 (value)
2022-11-23T02:04:38.1838903Z                4 LOAD_FAST                1 (mask)
2022-11-23T02:04:38.1839367Z                6 CALL_FUNCTION            2
2022-11-23T02:04:38.1839886Z                8 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.1840358Z               10 RETURN_VALUE
2022-11-23T02:04:38.1840599Z 
2022-11-23T02:04:38.1840730Z  
2022-11-23T02:04:38.1841340Z [2022-11-23 01:49:45,024] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.1841907Z  - 
2022-11-23T02:04:38.1842408Z             local 'mask' TENSOR_MATCH
2022-11-23T02:04:38.1842847Z             {
2022-11-23T02:04:38.1843383Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.1843990Z                 'code': None,
2022-11-23T02:04:38.1844704Z                 'obj_weakref': <weakref at 0x7fa55a0af0b0; to 'Tensor' at 0x7fa62c2c47c0>
2022-11-23T02:04:38.1845688Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.1846208Z             }
2022-11-23T02:04:38.1846564Z             
2022-11-23T02:04:38.1847009Z  - 
2022-11-23T02:04:38.1847501Z             local 'value' TENSOR_MATCH
2022-11-23T02:04:38.1847928Z             {
2022-11-23T02:04:38.1848525Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.1849057Z                 'code': None,
2022-11-23T02:04:38.1849770Z                 'obj_weakref': <weakref at 0x7fa61a8ebe70; to 'Tensor' at 0x7fa61ab596c0>
2022-11-23T02:04:38.1850729Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.1851311Z             }
2022-11-23T02:04:38.1851623Z             
2022-11-23T02:04:38.1852075Z  - 
2022-11-23T02:04:38.1852598Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.1852975Z             {
2022-11-23T02:04:38.1853464Z                 'guard_types': None,
2022-11-23T02:04:38.1854041Z                 'code': None,
2022-11-23T02:04:38.1854556Z                 'obj_weakref': None
2022-11-23T02:04:38.1855052Z                 'guarded_class': None
2022-11-23T02:04:38.1855570Z             }
2022-11-23T02:04:38.1856130Z             
2022-11-23T02:04:38.1856879Z  - 
2022-11-23T02:04:38.1857413Z             global 'torch.bool' CONSTANT_MATCH
2022-11-23T02:04:38.1857865Z             {
2022-11-23T02:04:38.1858389Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:38.1859076Z                 'code': ["str(torch.bool) == 'torch.bool'"],
2022-11-23T02:04:38.1859643Z                 'obj_weakref': None
2022-11-23T02:04:38.1860448Z                 'guarded_class': <weakref at 0x7fa5bc5e1e40; to 'type' at 0x7fa5855aac80 (dtype)>
2022-11-23T02:04:38.1860964Z             }
2022-11-23T02:04:38.1861344Z             
2022-11-23T02:04:38.1862183Z [2022-11-23 01:49:45,044] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1
2022-11-23T02:04:38.1863444Z [2022-11-23 01:49:47,773] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jn/cjndyljvge5bjng553nsef2ki2dfmdiv5qb5k4owzzpji4zahlr7.py
2022-11-23T02:04:38.1864664Z [2022-11-23 01:49:47,773] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1
2022-11-23T02:04:38.1865069Z 
2022-11-23T02:04:38.1865322Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.1865777Z import torch
2022-11-23T02:04:38.1866210Z import random
2022-11-23T02:04:38.1866883Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.1867536Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.1867887Z 
2022-11-23T02:04:38.1868089Z aten = torch.ops.aten
2022-11-23T02:04:38.1868615Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.1869227Z async_compile = AsyncCompile()
2022-11-23T02:04:38.1869549Z 
2022-11-23T02:04:38.1869549Z 
2022-11-23T02:04:38.1869840Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.1870618Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.1871377Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:38.1871919Z                        const unsigned char* __restrict__ in_ptr0,
2022-11-23T02:04:38.1872561Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.1873054Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.1873525Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:38.1874012Z {
2022-11-23T02:04:38.1874408Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T02:04:38.1874831Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.1875300Z     {
2022-11-23T02:04:38.1875722Z         #pragma omp for 
2022-11-23T02:04:38.1876086Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:38.1876552Z         {
2022-11-23T02:04:38.1876929Z             {
2022-11-23T02:04:38.1877986Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T02:04:38.1879196Z                 float tmp5 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:38.1879855Z                 auto tmp5_vec = at::vec::Vectorized<float>(tmp5);
2022-11-23T02:04:38.1880428Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T02:04:38.1880833Z                 {
2022-11-23T02:04:38.1881232Z                     float g_tmp_buffer_in_ptr0[8] = {0};
2022-11-23T02:04:38.1881917Z                     flag_to_float(in_ptr0 + (8*i1) + (17*i0), g_tmp_buffer_in_ptr0, 8);
2022-11-23T02:04:38.1882513Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T02:04:38.1883322Z                     auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (17*i0));
2022-11-23T02:04:38.1883901Z                     auto tmp1 = (tmp0);
2022-11-23T02:04:38.1884715Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(-33.0));
2022-11-23T02:04:38.1885385Z                     auto tmp4 = decltype(tmp2)::blendv(tmp3, tmp2, tmp1);
2022-11-23T02:04:38.1885994Z                     tmp5_vec = at::vec::maximum(tmp5_vec, tmp4);
2022-11-23T02:04:38.1886758Z                 }
2022-11-23T02:04:38.1887445Z                 tmp5 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp5_vec);
2022-11-23T02:04:38.1888268Z                 #pragma omp simd simdlen(4)  reduction(max:tmp5)
2022-11-23T02:04:38.2077230Z                 for(long i1=16; i1<17; i1+=1)
2022-11-23T02:04:38.2077801Z                 {
2022-11-23T02:04:38.2078487Z                     auto tmp0 = in_ptr0[i1 + (17*i0)];
2022-11-23T02:04:38.2079108Z                     auto tmp3 = in_ptr1[i1 + (17*i0)];
2022-11-23T02:04:38.2079662Z                     auto tmp1 = static_cast<bool>(tmp0);
2022-11-23T02:04:38.2080787Z                     auto tmp2 = static_cast<float>(-33.0);
2022-11-23T02:04:38.2081397Z                     auto tmp4 = tmp1 ? tmp2 : tmp3;
2022-11-23T02:04:38.2082008Z                     tmp5 = std::max(tmp5, tmp4);
2022-11-23T02:04:38.2082527Z                 }
2022-11-23T02:04:38.2083019Z                 out_ptr0[i0] = tmp5;
2022-11-23T02:04:38.2083547Z             }
2022-11-23T02:04:38.2084016Z         }
2022-11-23T02:04:38.2084429Z         #pragma omp for 
2022-11-23T02:04:38.2084945Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:38.2085375Z         {
2022-11-23T02:04:38.2086349Z             {
2022-11-23T02:04:38.2087109Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:38.2087807Z                 float tmp8 = 0;
2022-11-23T02:04:38.2088470Z                 auto tmp8_vec = at::vec::Vectorized<float>(tmp8);
2022-11-23T02:04:38.2089038Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T02:04:38.2089375Z                 {
2022-11-23T02:04:38.2090012Z                     float g_tmp_buffer_in_ptr0[8] = {0};
2022-11-23T02:04:38.2090593Z                     flag_to_float(in_ptr0 + (8*i1) + (17*i0), g_tmp_buffer_in_ptr0, 8);
2022-11-23T02:04:38.2091334Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T02:04:38.2092053Z                     auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (17*i0));
2022-11-23T02:04:38.2092803Z                     auto tmp5 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T02:04:38.2093390Z                     auto tmp1 = (tmp0);
2022-11-23T02:04:38.2094264Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(-33.0));
2022-11-23T02:04:38.2095035Z                     auto tmp4 = decltype(tmp2)::blendv(tmp3, tmp2, tmp1);
2022-11-23T02:04:38.2095790Z                     auto tmp6 = tmp4 - tmp5;
2022-11-23T02:04:38.2096694Z                     auto tmp7 = tmp6.exp();
2022-11-23T02:04:38.2097287Z                     tmp7.store(out_ptr1 + (8*i1) + (17*i0));
2022-11-23T02:04:38.2097821Z                     tmp8_vec += tmp7;
2022-11-23T02:04:38.2098210Z                 }
2022-11-23T02:04:38.2098917Z                 tmp8 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp8_vec);
2022-11-23T02:04:38.2099776Z                 #pragma omp simd simdlen(4)  reduction(+:tmp8)
2022-11-23T02:04:38.2100302Z                 for(long i1=16; i1<17; i1+=1)
2022-11-23T02:04:38.2100765Z                 {
2022-11-23T02:04:38.2101239Z                     auto tmp0 = in_ptr0[i1 + (17*i0)];
2022-11-23T02:04:38.2101780Z                     auto tmp3 = in_ptr1[i1 + (17*i0)];
2022-11-23T02:04:38.2102304Z                     auto tmp5 = out_ptr0[i0];
2022-11-23T02:04:38.2102844Z                     auto tmp1 = static_cast<bool>(tmp0);
2022-11-23T02:04:38.2103572Z                     auto tmp2 = static_cast<float>(-33.0);
2022-11-23T02:04:38.2104100Z                     auto tmp4 = tmp1 ? tmp2 : tmp3;
2022-11-23T02:04:38.2104773Z                     auto tmp6 = tmp4 - tmp5;
2022-11-23T02:04:38.2105313Z                     auto tmp7 = std::exp(tmp6);
2022-11-23T02:04:38.2105869Z                     out_ptr1[i1 + (17*i0)] = tmp7;
2022-11-23T02:04:38.2106670Z                     tmp8 += tmp7;
2022-11-23T02:04:38.2107114Z                 }
2022-11-23T02:04:38.2107550Z                 out_ptr2[i0] = tmp8;
2022-11-23T02:04:38.2107941Z             }
2022-11-23T02:04:38.2108329Z         }
2022-11-23T02:04:38.2108798Z         #pragma omp for 
2022-11-23T02:04:38.2109184Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:38.2109708Z         {
2022-11-23T02:04:38.2110179Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T02:04:38.2110571Z             {
2022-11-23T02:04:38.2111264Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + (8*i1) + (17*i0));
2022-11-23T02:04:38.2112092Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T02:04:38.2112620Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:38.2113189Z                 tmp2.store(in_out_ptr0 + (8*i1) + (17*i0));
2022-11-23T02:04:38.2113638Z             }
2022-11-23T02:04:38.2114182Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:38.2114663Z             for(long i1=16; i1<17; i1+=1)
2022-11-23T02:04:38.2115122Z             {
2022-11-23T02:04:38.2115561Z                 auto tmp0 = out_ptr1[i1 + (17*i0)];
2022-11-23T02:04:38.2116057Z                 auto tmp1 = out_ptr2[i0];
2022-11-23T02:04:38.2116757Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:38.2117340Z                 in_out_ptr0[i1 + (17*i0)] = tmp2;
2022-11-23T02:04:38.2117771Z             }
2022-11-23T02:04:38.2118159Z         }
2022-11-23T02:04:38.2118523Z     }
2022-11-23T02:04:38.2118843Z }
2022-11-23T02:04:38.2119388Z ''')
2022-11-23T02:04:38.2119570Z 
2022-11-23T02:04:38.2119649Z 
2022-11-23T02:04:38.2119833Z async_compile.wait(globals())
2022-11-23T02:04:38.2120369Z del async_compile
2022-11-23T02:04:38.2120575Z 
2022-11-23T02:04:38.2120805Z def call(args):
2022-11-23T02:04:38.2121186Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.2121706Z     args.clear()
2022-11-23T02:04:38.2122418Z     buf0 = empty_strided((2, 1), (1, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2123367Z     buf1 = empty_strided((2, 17), (17, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2124236Z     buf2 = empty_strided((2, 1), (1, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2124868Z     buf3 = buf1; del buf1  # reuse
2022-11-23T02:04:38.2125839Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:38.2126644Z     del arg0_1
2022-11-23T02:04:38.2127123Z     del arg1_1
2022-11-23T02:04:38.2127445Z     return (buf3, )
2022-11-23T02:04:38.2127753Z 
2022-11-23T02:04:38.2127793Z 
2022-11-23T02:04:38.2127975Z if __name__ == "__main__":
2022-11-23T02:04:38.2128614Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.2129234Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.2130153Z     arg0_1 = rand_strided((2, 17), (17, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2131036Z     arg1_1 = rand_strided((2, 17), (17, 1), device='cpu', dtype=torch.uint8)
2022-11-23T02:04:38.2131751Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.2132070Z 
2022-11-23T02:04:38.2132329Z ok (2.786s)
2022-11-23T02:04:38.2133449Z   test_no_op_squeeze (__main__.CPUReproTests) ... [2022-11-23 01:49:47,779] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing forward
2022-11-23T02:04:38.2134897Z [2022-11-23 01:49:47,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4726
2022-11-23T02:04:38.2135931Z [2022-11-23 01:49:47,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.2137507Z [2022-11-23 01:49:47,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.2138903Z [2022-11-23 01:49:47,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:38.2140483Z [2022-11-23 01:49:47,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.2141730Z [2022-11-23 01:49:47,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dim [TorchVariable(aten.squeeze)]
2022-11-23T02:04:38.2142835Z [2022-11-23 01:49:47,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg0_1 [TorchVariable(aten.squeeze.dim)]
2022-11-23T02:04:38.2144240Z [2022-11-23 01:49:47,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.squeeze.dim), TensorVariable()]
2022-11-23T02:04:38.2145604Z [2022-11-23 01:49:47,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.squeeze.dim), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.2146753Z [2022-11-23 01:49:47,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.2147855Z [2022-11-23 01:49:47,791] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing forward
2022-11-23T02:04:38.2148921Z [2022-11-23 01:49:47,792] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:38.2150143Z [2022-11-23 01:49:47,796] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:38.2151151Z [2022-11-23 01:49:47,796] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.2151865Z  __compiled_fn_2 <eval_with_key>.24 opcode, name, target, args, kwargs
2022-11-23T02:04:38.2152467Z placeholder, arg0_1, arg0_1, (), {}
2022-11-23T02:04:38.2153097Z call_function, squeeze_dim, aten.squeeze.dim, (arg0_1, 1), {}
2022-11-23T02:04:38.2153726Z output, output, output, ((squeeze_dim,),), {}
2022-11-23T02:04:38.2154143Z 
2022-11-23T02:04:38.2154936Z [2022-11-23 01:49:47,797] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE forward /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4724 
2022-11-23T02:04:38.2155763Z 4726           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.2156278Z                2 LOAD_ATTR                1 (ops)
2022-11-23T02:04:38.2156824Z                4 LOAD_ATTR                2 (aten)
2022-11-23T02:04:38.2157342Z                6 LOAD_ATTR                3 (squeeze)
2022-11-23T02:04:38.2157849Z                8 LOAD_METHOD              4 (dim)
2022-11-23T02:04:38.2158380Z               10 LOAD_FAST                0 (arg0_1)
2022-11-23T02:04:38.2158855Z               12 LOAD_CONST               1 (1)
2022-11-23T02:04:38.2159396Z               14 CALL_METHOD              2
2022-11-23T02:04:38.2159904Z               16 RETURN_VALUE
2022-11-23T02:04:38.2160211Z 
2022-11-23T02:04:38.2160369Z  
2022-11-23T02:04:38.2161397Z [2022-11-23 01:49:47,797] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE forward /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4724 
2022-11-23T02:04:38.2162271Z 4724           0 LOAD_GLOBAL              5 (__compiled_fn_2)
2022-11-23T02:04:38.2162864Z                2 LOAD_FAST                0 (arg0_1)
2022-11-23T02:04:38.2163322Z                4 CALL_FUNCTION            1
2022-11-23T02:04:38.2163790Z                6 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.2164284Z                8 RETURN_VALUE
2022-11-23T02:04:38.2164638Z 
2022-11-23T02:04:38.2164780Z  
2022-11-23T02:04:38.2165442Z [2022-11-23 01:49:47,798] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.2165993Z  - 
2022-11-23T02:04:38.2166568Z             local 'arg0_1' TENSOR_MATCH
2022-11-23T02:04:38.2166975Z             {
2022-11-23T02:04:38.2167507Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.2168118Z                 'code': None,
2022-11-23T02:04:38.2168913Z                 'obj_weakref': <weakref at 0x7fa61aa0af20; to 'Tensor' at 0x7fa61a927c90>
2022-11-23T02:04:38.2169910Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.2170727Z             }
2022-11-23T02:04:38.2171129Z             
2022-11-23T02:04:38.2171511Z  - 
2022-11-23T02:04:38.2172095Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.2172569Z             {
2022-11-23T02:04:38.2173064Z                 'guard_types': None,
2022-11-23T02:04:38.2173579Z                 'code': None,
2022-11-23T02:04:38.2174196Z                 'obj_weakref': None
2022-11-23T02:04:38.2174718Z                 'guarded_class': None
2022-11-23T02:04:38.2175186Z             }
2022-11-23T02:04:38.2175632Z             
2022-11-23T02:04:38.2177096Z [2022-11-23 01:49:47,804] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 2
2022-11-23T02:04:38.2178474Z [2022-11-23 01:49:47,807] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ne/cnelpdaegliu6grtlzcahofdy5sb7fqkjnnenj7zpj6rfe5f4em5.py
2022-11-23T02:04:38.2179751Z [2022-11-23 01:49:47,807] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 2
2022-11-23T02:04:38.2180236Z 
2022-11-23T02:04:38.2180462Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.2180957Z import torch
2022-11-23T02:04:38.2181356Z import random
2022-11-23T02:04:38.2182133Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.2182802Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.2183183Z 
2022-11-23T02:04:38.2183329Z aten = torch.ops.aten
2022-11-23T02:04:38.2184008Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.2184602Z async_compile = AsyncCompile()
2022-11-23T02:04:38.2184949Z 
2022-11-23T02:04:38.2184976Z 
2022-11-23T02:04:38.2185250Z async_compile.wait(globals())
2022-11-23T02:04:38.2185662Z del async_compile
2022-11-23T02:04:38.2185962Z 
2022-11-23T02:04:38.2186149Z def call(args):
2022-11-23T02:04:38.2186556Z     arg0_1, = args
2022-11-23T02:04:38.2186916Z     args.clear()
2022-11-23T02:04:38.2187379Z     return (arg0_1, )
2022-11-23T02:04:38.2187649Z 
2022-11-23T02:04:38.2187677Z 
2022-11-23T02:04:38.2187888Z if __name__ == "__main__":
2022-11-23T02:04:38.2188427Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.2189147Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.2190056Z     arg0_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2190718Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.2191125Z 
2022-11-23T02:04:38.2191278Z ok (0.033s)
2022-11-23T02:04:38.2192281Z   test_parallel_num_threads (__main__.CPUReproTests) ... [2022-11-23 01:49:47,819] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:38.2193604Z [2022-11-23 01:49:47,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4734
2022-11-23T02:04:38.2194700Z [2022-11-23 01:49:47,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x1 []
2022-11-23T02:04:38.2195751Z [2022-11-23 01:49:47,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x2 [TensorVariable()]
2022-11-23T02:04:38.2196769Z [2022-11-23 01:49:47,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.2197838Z [2022-11-23 01:49:47,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.2198875Z [2022-11-23 01:49:47,821] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:38.2199850Z [2022-11-23 01:49:47,822] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:38.2200812Z [2022-11-23 01:49:47,827] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:38.2201636Z [2022-11-23 01:49:47,827] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.2202362Z  __compiled_fn_3 <eval_with_key>.30 opcode, name, target, args, kwargs
2022-11-23T02:04:38.2203170Z placeholder, x1, x1, (), {}
2022-11-23T02:04:38.2203712Z placeholder, x2, x2, (), {}
2022-11-23T02:04:38.2204421Z call_function, add, <built-in function add>, (x1, x2), {}
2022-11-23T02:04:38.2204962Z output, output, output, ((add,),), {}
2022-11-23T02:04:38.2205328Z 
2022-11-23T02:04:38.2206141Z [2022-11-23 01:49:47,828] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4732 
2022-11-23T02:04:38.2207000Z 4734           0 LOAD_FAST                0 (x1)
2022-11-23T02:04:38.2207469Z                2 LOAD_FAST                1 (x2)
2022-11-23T02:04:38.2207923Z                4 BINARY_ADD
2022-11-23T02:04:38.2208333Z                6 RETURN_VALUE
2022-11-23T02:04:38.2208687Z 
2022-11-23T02:04:38.2208842Z  
2022-11-23T02:04:38.2209818Z [2022-11-23 01:49:47,828] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4732 
2022-11-23T02:04:38.2210611Z 4732           0 LOAD_GLOBAL              0 (__compiled_fn_3)
2022-11-23T02:04:38.2211160Z                2 LOAD_FAST                0 (x1)
2022-11-23T02:04:38.2211664Z                4 LOAD_FAST                1 (x2)
2022-11-23T02:04:38.2212101Z                6 CALL_FUNCTION            2
2022-11-23T02:04:38.2212713Z                8 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.2213193Z               10 RETURN_VALUE
2022-11-23T02:04:38.2213519Z 
2022-11-23T02:04:38.2213654Z  
2022-11-23T02:04:38.2214265Z [2022-11-23 01:49:47,828] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.2214866Z  - 
2022-11-23T02:04:38.2215317Z             local 'x1' TENSOR_MATCH
2022-11-23T02:04:38.2215723Z             {
2022-11-23T02:04:38.2216601Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.2217214Z                 'code': None,
2022-11-23T02:04:38.2217953Z                 'obj_weakref': <weakref at 0x7fa55a006750; to 'Tensor' at 0x7fa6237e0720>
2022-11-23T02:04:38.2218949Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.2219553Z             }
2022-11-23T02:04:38.2219932Z             
2022-11-23T02:04:38.2220415Z  - 
2022-11-23T02:04:38.2220844Z             local 'x2' TENSOR_MATCH
2022-11-23T02:04:38.2221232Z             {
2022-11-23T02:04:38.2221806Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.2222393Z                 'code': None,
2022-11-23T02:04:38.2223183Z                 'obj_weakref': <weakref at 0x7fa61aa0a890; to 'Tensor' at 0x7fa61ab596c0>
2022-11-23T02:04:38.2224123Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.2224720Z             }
2022-11-23T02:04:38.2225094Z             
2022-11-23T02:04:38.2225955Z [2022-11-23 01:49:47,836] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 3
2022-11-23T02:04:38.2227282Z [2022-11-23 01:49:50,420] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xy/cxybpivj5277dgxkvpdebtu6ue4yc6ss3qeo6zxlmcjuqwy4vyp2.py
2022-11-23T02:04:38.2228598Z [2022-11-23 01:49:50,421] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 3
2022-11-23T02:04:38.2229131Z 
2022-11-23T02:04:38.2229347Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.2229844Z import torch
2022-11-23T02:04:38.2230257Z import random
2022-11-23T02:04:38.2230707Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.2231404Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.2231746Z 
2022-11-23T02:04:38.2231938Z aten = torch.ops.aten
2022-11-23T02:04:38.2232611Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.2233143Z async_compile = AsyncCompile()
2022-11-23T02:04:38.2233457Z 
2022-11-23T02:04:38.2233483Z 
2022-11-23T02:04:38.2233907Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.2234686Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.2235833Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.2236480Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.2237013Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.2237463Z {
2022-11-23T02:04:38.2237845Z     for(long i0=0; i0<25; i0+=1)
2022-11-23T02:04:38.2238315Z     {
2022-11-23T02:04:38.2238907Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.2239602Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:38.2240166Z         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.2240647Z         tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.2241044Z     }
2022-11-23T02:04:38.2241507Z     #pragma omp simd simdlen(4) 
2022-11-23T02:04:38.2241971Z     for(long i0=200; i0<200; i0+=1)
2022-11-23T02:04:38.2242376Z     {
2022-11-23T02:04:38.2242817Z         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.2243311Z         auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:38.2243784Z         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.2244212Z         out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.2244643Z     }
2022-11-23T02:04:38.2245020Z }
2022-11-23T02:04:38.2245447Z ''')
2022-11-23T02:04:38.2245802Z 
2022-11-23T02:04:38.2245837Z 
2022-11-23T02:04:38.2246099Z async_compile.wait(globals())
2022-11-23T02:04:38.2246590Z del async_compile
2022-11-23T02:04:38.2246857Z 
2022-11-23T02:04:38.2247099Z def call(args):
2022-11-23T02:04:38.2247537Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.2247957Z     args.clear()
2022-11-23T02:04:38.2248623Z     buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2249434Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.2249997Z     del arg0_1
2022-11-23T02:04:38.2250472Z     del arg1_1
2022-11-23T02:04:38.2250820Z     return (buf0, )
2022-11-23T02:04:38.2251136Z 
2022-11-23T02:04:38.2251157Z 
2022-11-23T02:04:38.2251336Z if __name__ == "__main__":
2022-11-23T02:04:38.2251865Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.2252431Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.2253296Z     arg0_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2254194Z     arg1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2254887Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.2255304Z 
2022-11-23T02:04:38.2255418Z ok (2.622s)
2022-11-23T02:04:38.2256782Z   test_sign_cpu_only (__main__.CPUReproTests) ... [2022-11-23 01:49:50,440] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T02:04:38.2258229Z [2022-11-23 01:49:53,066] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d3/cd3t24nqaamqlu5hhiudtmoa6vnrolljsk3fo2eqmc7mfsa5z6ri.py
2022-11-23T02:04:38.2259470Z [2022-11-23 01:49:53,066] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T02:04:38.2260031Z 
2022-11-23T02:04:38.2260278Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.2260803Z import torch
2022-11-23T02:04:38.2261271Z import random
2022-11-23T02:04:38.2261778Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.2262394Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.2262859Z 
2022-11-23T02:04:38.2262995Z aten = torch.ops.aten
2022-11-23T02:04:38.2263594Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.2264377Z async_compile = AsyncCompile()
2022-11-23T02:04:38.2264674Z 
2022-11-23T02:04:38.2264701Z 
2022-11-23T02:04:38.2265052Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.2265492Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.2265964Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.2266595Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.2266774Z {
2022-11-23T02:04:38.2267081Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.2267574Z     {
2022-11-23T02:04:38.2268054Z         #pragma omp for 
2022-11-23T02:04:38.2268559Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:38.2268983Z         {
2022-11-23T02:04:38.2269534Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.2270342Z             auto tmp1 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), decltype(tmp0)(0) < tmp0);
2022-11-23T02:04:38.2271161Z             auto tmp2 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), tmp0 < decltype(tmp0)(0));
2022-11-23T02:04:38.2271993Z             auto tmp3 = tmp1 - tmp2;
2022-11-23T02:04:38.2272474Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.2272918Z         }
2022-11-23T02:04:38.2273369Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.2273843Z         for(long i0=16; i0<18; i0+=1)
2022-11-23T02:04:38.2274291Z         {
2022-11-23T02:04:38.2274757Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.2275228Z             auto tmp1 = tmp0 > 0 ? 1 : 0;
2022-11-23T02:04:38.2275848Z             auto tmp2 = tmp0 < 0 ? 1 : 0;
2022-11-23T02:04:38.2276464Z             auto tmp3 = tmp1 - tmp2;
2022-11-23T02:04:38.2276948Z             out_ptr0[i0] = tmp3;
2022-11-23T02:04:38.2277376Z         }
2022-11-23T02:04:38.2277738Z     }
2022-11-23T02:04:38.2278086Z }
2022-11-23T02:04:38.2278428Z ''')
2022-11-23T02:04:38.2278671Z 
2022-11-23T02:04:38.2278696Z 
2022-11-23T02:04:38.2278983Z async_compile.wait(globals())
2022-11-23T02:04:38.2279426Z del async_compile
2022-11-23T02:04:38.2279710Z 
2022-11-23T02:04:38.2279891Z def call(args):
2022-11-23T02:04:38.2280325Z     x_1, = args
2022-11-23T02:04:38.2280729Z     args.clear()
2022-11-23T02:04:38.2281444Z     buf0 = empty_strided((2, 9), (9, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2282138Z     kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.2282704Z     del x_1
2022-11-23T02:04:38.2283071Z     return (buf0, )
2022-11-23T02:04:38.2283329Z 
2022-11-23T02:04:38.2283355Z 
2022-11-23T02:04:38.2283570Z if __name__ == "__main__":
2022-11-23T02:04:38.2284185Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.2284835Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.2285683Z     x_1 = rand_strided((2, 9), (9, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2286326Z     print_performance(lambda: call([x_1]))
2022-11-23T02:04:38.2286697Z 
2022-11-23T02:04:38.2286895Z ok (2.637s)
2022-11-23T02:04:38.2287421Z   test_timed_cpu_only (__main__.CPUReproTests) ... ok (0.001s)
2022-11-23T02:04:38.2288763Z   test_vec_dynamic_shapes (__main__.CPUReproTests) ... [2022-11-23 01:49:53,087] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:38.2290068Z [2022-11-23 01:49:53,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4783
2022-11-23T02:04:38.2291191Z [2022-11-23 01:49:53,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.2292473Z [2022-11-23 01:49:53,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.2293804Z [2022-11-23 01:49:53,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method softmax of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.2295238Z [2022-11-23 01:49:53,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method softmax of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.2297213Z [2022-11-23 01:49:53,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method softmax of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.2298699Z [2022-11-23 01:49:53,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.2299648Z [2022-11-23 01:49:53,132] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:38.2300648Z [2022-11-23 01:49:53,133] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:38.2301727Z [2022-11-23 01:49:53,140] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:38.2302581Z [2022-11-23 01:49:53,140] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.2303256Z  __compiled_fn_4 <eval_with_key>.37 opcode, name, target, args, kwargs
2022-11-23T02:04:38.2303804Z placeholder, x, x, (), {}
2022-11-23T02:04:38.2304664Z call_function, softmax, <built-in method softmax of type object at 0x7fa5855aec60>, (x, -1), {}
2022-11-23T02:04:38.2305368Z output, output, output, ((softmax,),), {}
2022-11-23T02:04:38.2305663Z 
2022-11-23T02:04:38.2306449Z [2022-11-23 01:49:53,141] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4782 
2022-11-23T02:04:38.2307497Z 4783           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.2308086Z                2 LOAD_METHOD              1 (softmax)
2022-11-23T02:04:38.2308615Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.2309211Z                6 LOAD_CONST               1 (-1)
2022-11-23T02:04:38.2309695Z                8 CALL_METHOD              2
2022-11-23T02:04:38.2310126Z               10 RETURN_VALUE
2022-11-23T02:04:38.2310389Z 
2022-11-23T02:04:38.2310583Z  
2022-11-23T02:04:38.2311650Z [2022-11-23 01:49:53,141] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4782 
2022-11-23T02:04:38.2312389Z 4782           0 LOAD_GLOBAL              2 (__compiled_fn_4)
2022-11-23T02:04:38.2312947Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:38.2313440Z                4 CALL_FUNCTION            1
2022-11-23T02:04:38.2313976Z                6 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.2314396Z                8 RETURN_VALUE
2022-11-23T02:04:38.2314728Z 
2022-11-23T02:04:38.2314864Z  
2022-11-23T02:04:38.2315534Z [2022-11-23 01:49:53,142] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.2316006Z  - 
2022-11-23T02:04:38.2316615Z              'symbolic_shape_expression' SYMBOL_MATCH
2022-11-23T02:04:38.2317107Z             {
2022-11-23T02:04:38.2317539Z                 'guard_types': None,
2022-11-23T02:04:38.2318277Z                 'code': (Eq(x.stride()[0], 10) and x.stride()[0] == x.size()[1]),
2022-11-23T02:04:38.2318945Z                 'obj_weakref': None
2022-11-23T02:04:38.2319533Z                 'guarded_class': None
2022-11-23T02:04:38.2319942Z             }
2022-11-23T02:04:38.2320350Z             
2022-11-23T02:04:38.2320766Z  - 
2022-11-23T02:04:38.2321225Z             local 'x' TENSOR_MATCH
2022-11-23T02:04:38.2321708Z             {
2022-11-23T02:04:38.2322252Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.2322759Z                 'code': None,
2022-11-23T02:04:38.2323536Z                 'obj_weakref': <weakref at 0x7fa55a0053a0; to 'Tensor' at 0x7fa61aa29a80>
2022-11-23T02:04:38.2324480Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.2325038Z             }
2022-11-23T02:04:38.2325470Z             
2022-11-23T02:04:38.2325954Z  - 
2022-11-23T02:04:38.2326382Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.2326887Z             {
2022-11-23T02:04:38.2327390Z                 'guard_types': None,
2022-11-23T02:04:38.2327907Z                 'code': None,
2022-11-23T02:04:38.2328462Z                 'obj_weakref': None
2022-11-23T02:04:38.2329052Z                 'guarded_class': None
2022-11-23T02:04:38.2329747Z             }
2022-11-23T02:04:38.2330138Z             
2022-11-23T02:04:38.2331015Z [2022-11-23 01:49:53,203] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 4
2022-11-23T02:04:38.2332337Z [2022-11-23 01:49:55,901] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yc/cycpbnv6hu2y3x43lav42623xqlknp5br6hjjjsbgob6bad5do5m.py
2022-11-23T02:04:38.2333584Z [2022-11-23 01:49:55,901] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 4
2022-11-23T02:04:38.2334052Z 
2022-11-23T02:04:38.2334325Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.2334767Z import torch
2022-11-23T02:04:38.2335153Z import random
2022-11-23T02:04:38.2335719Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.2336759Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.2337179Z 
2022-11-23T02:04:38.2337369Z aten = torch.ops.aten
2022-11-23T02:04:38.2337920Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.2338537Z async_compile = AsyncCompile()
2022-11-23T02:04:38.2338832Z 
2022-11-23T02:04:38.2338885Z 
2022-11-23T02:04:38.2339234Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.2340258Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.2341035Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:38.2341618Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.2342166Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.2342717Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:38.2343153Z                        const long ks0,
2022-11-23T02:04:38.2343638Z                        const long ks1)
2022-11-23T02:04:38.2344070Z {
2022-11-23T02:04:38.2344502Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T02:04:38.2344960Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.2345431Z     {
2022-11-23T02:04:38.2345855Z         #pragma omp for 
2022-11-23T02:04:38.2346372Z         for(long i0=0; i0<ks0; i0+=1)
2022-11-23T02:04:38.2346759Z         {
2022-11-23T02:04:38.2347068Z             {
2022-11-23T02:04:38.2347509Z                 {
2022-11-23T02:04:38.2348353Z                     float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:38.2349031Z                     for(long i1=0; i1<ks1; i1+=1)
2022-11-23T02:04:38.2349438Z                     {
2022-11-23T02:04:38.2349810Z                         {
2022-11-23T02:04:38.2350340Z                             auto tmp0 = in_ptr0[i1 + (i0*ks1)];
2022-11-23T02:04:38.2350878Z                             tmp1 = std::max(tmp1, tmp0);
2022-11-23T02:04:38.2351328Z                         }
2022-11-23T02:04:38.2351735Z                     }
2022-11-23T02:04:38.2352122Z                     out_ptr0[i0] = tmp1;
2022-11-23T02:04:38.2352533Z                 }
2022-11-23T02:04:38.2352912Z             }
2022-11-23T02:04:38.2353299Z         }
2022-11-23T02:04:38.2353715Z         #pragma omp for 
2022-11-23T02:04:38.2354163Z         for(long i0=0; i0<ks0; i0+=1)
2022-11-23T02:04:38.2354569Z         {
2022-11-23T02:04:38.2355084Z             {
2022-11-23T02:04:38.2355391Z                 {
2022-11-23T02:04:38.2355796Z                     float tmp4 = 0;
2022-11-23T02:04:38.2356263Z                     for(long i1=0; i1<ks1; i1+=1)
2022-11-23T02:04:38.2356720Z                     {
2022-11-23T02:04:38.2357105Z                         {
2022-11-23T02:04:38.2357660Z                             auto tmp0 = in_ptr0[i1 + (i0*ks1)];
2022-11-23T02:04:38.2358203Z                             auto tmp1 = out_ptr0[i0];
2022-11-23T02:04:38.2358925Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:38.2359412Z                             auto tmp3 = std::exp(tmp2);
2022-11-23T02:04:38.2360018Z                             out_ptr1[i1 + (i0*ks1)] = tmp3;
2022-11-23T02:04:38.2360558Z                             tmp4 += tmp3;
2022-11-23T02:04:38.2361201Z                         }
2022-11-23T02:04:38.2361628Z                     }
2022-11-23T02:04:38.2362057Z                     out_ptr2[i0] = tmp4;
2022-11-23T02:04:38.2362389Z                 }
2022-11-23T02:04:38.2362830Z             }
2022-11-23T02:04:38.2363173Z         }
2022-11-23T02:04:38.2363634Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.2364147Z         for(long i0=0; i0<ks0; i0+=1)
2022-11-23T02:04:38.2364584Z         {
2022-11-23T02:04:38.2364993Z             for(long i1=0; i1<ks1; i1+=1)
2022-11-23T02:04:38.2365418Z             {
2022-11-23T02:04:38.2365847Z                 {
2022-11-23T02:04:38.2366223Z                     {
2022-11-23T02:04:38.2366687Z                         auto tmp0 = out_ptr1[i1 + (i0*ks1)];
2022-11-23T02:04:38.2367244Z                         auto tmp1 = out_ptr2[i0];
2022-11-23T02:04:38.2367684Z                         auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:38.2368188Z                         in_out_ptr0[i1 + (i0*ks1)] = tmp2;
2022-11-23T02:04:38.2368661Z                     }
2022-11-23T02:04:38.2369114Z                 }
2022-11-23T02:04:38.2369405Z             }
2022-11-23T02:04:38.2369791Z         }
2022-11-23T02:04:38.2370158Z     }
2022-11-23T02:04:38.2370615Z }
2022-11-23T02:04:38.2371048Z ''')
2022-11-23T02:04:38.2371499Z 
2022-11-23T02:04:38.2371499Z 
2022-11-23T02:04:38.2371711Z async_compile.wait(globals())
2022-11-23T02:04:38.2372139Z del async_compile
2022-11-23T02:04:38.2372396Z 
2022-11-23T02:04:38.2372620Z def call(args):
2022-11-23T02:04:38.2373039Z     arg0_1, = args
2022-11-23T02:04:38.2373394Z     args.clear()
2022-11-23T02:04:38.2373899Z     arg0_1_size = arg0_1.size()
2022-11-23T02:04:38.2374370Z     s0 = arg0_1_size[0]
2022-11-23T02:04:38.2374718Z     s1 = arg0_1_size[1]
2022-11-23T02:04:38.2375469Z     buf0 = empty_strided((s0, 1), (1, s0), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2376706Z     buf1 = empty_strided((s0, s1), (s1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2377597Z     buf2 = empty_strided((s0, 1), (1, s0), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2378090Z     buf3 = buf1; del buf1  # reuse
2022-11-23T02:04:38.2378926Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_long(s0), c_long(s1))
2022-11-23T02:04:38.2379576Z     del arg0_1
2022-11-23T02:04:38.2380068Z     return (buf3, )
2022-11-23T02:04:38.2380328Z 
2022-11-23T02:04:38.2380328Z 
2022-11-23T02:04:38.2380541Z if __name__ == "__main__":
2022-11-23T02:04:38.2381040Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.2381646Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.2382451Z     arg0_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2383116Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.2383459Z 
2022-11-23T02:04:38.2383626Z ok (2.834s)
2022-11-23T02:04:38.2384752Z   test_vec_kernel_cpu_only (__main__.CPUReproTests) ... [2022-11-23 01:49:55,942] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T02:04:38.2386262Z [2022-11-23 01:49:56,951] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3d/c3daivjwyndntojy3z2u2aue7quacm5s7icnot2lpisbtjhawabe.py
2022-11-23T02:04:38.2387515Z [2022-11-23 01:49:56,952] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T02:04:38.2388624Z [2022-11-23 01:49:56,987] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T02:04:38.2389925Z [2022-11-23 01:49:59,649] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bb/cbbyp55vniiopkdguq2zv7dc46shrp6x4zlda62d6aoye67nvzlj.py
2022-11-23T02:04:38.2391254Z [2022-11-23 01:49:59,649] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T02:04:38.2392291Z [2022-11-23 01:49:59,684] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T02:04:38.2393117Z 
2022-11-23T02:04:38.2393423Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.2393889Z import torch
2022-11-23T02:04:38.2394304Z import random
2022-11-23T02:04:38.2394765Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.2395456Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.2395800Z 
2022-11-23T02:04:38.2395978Z aten = torch.ops.aten
2022-11-23T02:04:38.2396611Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.2397170Z async_compile = AsyncCompile()
2022-11-23T02:04:38.2397511Z 
2022-11-23T02:04:38.2397571Z 
2022-11-23T02:04:38.2397894Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.2398668Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.2399541Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:38.2400041Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.2400615Z                        const float* __restrict__ in_ptr1)
2022-11-23T02:04:38.2401076Z {
2022-11-23T02:04:38.2401517Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.2401930Z     {
2022-11-23T02:04:38.2402375Z         #pragma omp for 
2022-11-23T02:04:38.2402910Z         for(long i0=0; i0<200; i0+=1)
2022-11-23T02:04:38.2403307Z         {
2022-11-23T02:04:38.2403713Z             {
2022-11-23T02:04:38.2404093Z                 {
2022-11-23T02:04:38.2404561Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.2405070Z                     auto tmp12 = in_ptr1[i0];
2022-11-23T02:04:38.2405604Z                     auto tmp1 = std::abs(tmp0);
2022-11-23T02:04:38.2406117Z                     auto tmp2 = std::sin(tmp1);
2022-11-23T02:04:38.2406666Z                     auto tmp3 = -tmp2;
2022-11-23T02:04:38.2407134Z                     auto tmp4 = tmp3 * tmp3;
2022-11-23T02:04:38.2407742Z                     auto tmp5 = std::exp(-tmp4);
2022-11-23T02:04:38.2408278Z                     auto tmp6 = 1 / (1 + tmp5);
2022-11-23T02:04:38.2408800Z                     auto tmp7 = tmp6 * (tmp6>0);
2022-11-23T02:04:38.2409358Z                     auto tmp8 = std::cos(tmp7);
2022-11-23T02:04:38.2409845Z                     auto tmp9 = std::exp(tmp8);
2022-11-23T02:04:38.2410326Z                     auto tmp10 = std::sqrt(tmp9);
2022-11-23T02:04:38.2410858Z                     auto tmp11 = tmp10 + tmp0;
2022-11-23T02:04:38.2411470Z                     auto tmp13 = tmp11 - tmp12;
2022-11-23T02:04:38.2412000Z                     auto tmp14 = tmp13 * tmp0;
2022-11-23T02:04:38.2412487Z                     auto tmp15 = tmp14 / tmp0;
2022-11-23T02:04:38.2412960Z                     auto tmp16 = tmp15 * tmp15;
2022-11-23T02:04:38.2413455Z                     auto tmp17 = tmp16 * tmp16;
2022-11-23T02:04:38.2413973Z                     auto tmp18 = tmp17 * tmp15;
2022-11-23T02:04:38.2414448Z                     auto tmp19 = tmp18 * tmp18;
2022-11-23T02:04:38.2415002Z                     auto tmp20 = std::log(tmp19);
2022-11-23T02:04:38.2415520Z                     auto tmp21 = std::floor(tmp20);
2022-11-23T02:04:38.2416014Z                     auto tmp22 = std::ceil(tmp21);
2022-11-23T02:04:38.2417059Z                     auto tmp23 = std::trunc(tmp22);
2022-11-23T02:04:38.2417607Z                     auto tmp24 = std::lgamma(tmp23);
2022-11-23T02:04:38.2418100Z                     auto tmp25 = std::fmod(tmp24, tmp12);
2022-11-23T02:04:38.2418689Z                     auto tmp26 = tmp25 > 0 ? 1 : 0;
2022-11-23T02:04:38.2419132Z                     auto tmp27 = tmp25 < 0 ? 1 : 0;
2022-11-23T02:04:38.2419823Z                     auto tmp28 = tmp26 - tmp27;
2022-11-23T02:04:38.2420311Z                     auto tmp29 = tmp28 + tmp12;
2022-11-23T02:04:38.2420790Z                     in_out_ptr0[i0] = tmp29;
2022-11-23T02:04:38.2421290Z                 }
2022-11-23T02:04:38.2421739Z             }
2022-11-23T02:04:38.2422049Z         }
2022-11-23T02:04:38.2422428Z     }
2022-11-23T02:04:38.2423084Z }
2022-11-23T02:04:38.2423477Z ''')
2022-11-23T02:04:38.2423703Z 
2022-11-23T02:04:38.2423703Z 
2022-11-23T02:04:38.2423969Z async_compile.wait(globals())
2022-11-23T02:04:38.2424458Z del async_compile
2022-11-23T02:04:38.2424665Z 
2022-11-23T02:04:38.2424862Z def call(args):
2022-11-23T02:04:38.2425251Z     x1_1, x2_1 = args
2022-11-23T02:04:38.2425694Z     args.clear()
2022-11-23T02:04:38.2426407Z     buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2427018Z     buf1 = buf0; del buf0  # reuse
2022-11-23T02:04:38.2427688Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()))
2022-11-23T02:04:38.2428200Z     del x1_1
2022-11-23T02:04:38.2428577Z     del x2_1
2022-11-23T02:04:38.2428986Z     return (buf1, )
2022-11-23T02:04:38.2429266Z 
2022-11-23T02:04:38.2429266Z 
2022-11-23T02:04:38.2429478Z if __name__ == "__main__":
2022-11-23T02:04:38.2430062Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.2430705Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.2431563Z     x1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2432369Z     x2_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2433112Z     print_performance(lambda: call([x1_1, x2_1]))
2022-11-23T02:04:38.2433507Z 
2022-11-23T02:04:38.2433507Z 
2022-11-23T02:04:38.2433716Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.2434211Z import torch
2022-11-23T02:04:38.2434654Z import random
2022-11-23T02:04:38.2435191Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.2435854Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.2436216Z 
2022-11-23T02:04:38.2436380Z aten = torch.ops.aten
2022-11-23T02:04:38.2436981Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.2437540Z async_compile = AsyncCompile()
2022-11-23T02:04:38.2437893Z 
2022-11-23T02:04:38.2437893Z 
2022-11-23T02:04:38.2438197Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.2439059Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.2439885Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:38.2440573Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.2441092Z                        const float* __restrict__ in_ptr1)
2022-11-23T02:04:38.2441539Z {
2022-11-23T02:04:38.2441991Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.2442495Z     {
2022-11-23T02:04:38.2442835Z         #pragma omp for 
2022-11-23T02:04:38.2443350Z         for(long i0=0; i0<25; i0+=1)
2022-11-23T02:04:38.2443738Z         {
2022-11-23T02:04:38.2444266Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.2444967Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:38.2445497Z             auto tmp1 = tmp0.abs();
2022-11-23T02:04:38.2446003Z             auto tmp2 = tmp1.sin();
2022-11-23T02:04:38.2446560Z             auto tmp3 = tmp2.neg();
2022-11-23T02:04:38.2447010Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T02:04:38.2447571Z             auto tmp5 = decltype(tmp4)(1)/(decltype(tmp4)(1) + tmp4.neg().exp());
2022-11-23T02:04:38.2448275Z             auto tmp6 = at::vec::clamp_min(tmp5, decltype(tmp5)(0));
2022-11-23T02:04:38.2448829Z             auto tmp7 = tmp6.cos();
2022-11-23T02:04:38.2449255Z             auto tmp8 = tmp7.exp();
2022-11-23T02:04:38.2449777Z             auto tmp9 = tmp8.sqrt();
2022-11-23T02:04:38.2450237Z             auto tmp10 = tmp9 + tmp0;
2022-11-23T02:04:38.2450868Z             auto tmp12 = tmp10 - tmp11;
2022-11-23T02:04:38.2451310Z             auto tmp13 = tmp12 * tmp0;
2022-11-23T02:04:38.2451846Z             auto tmp14 = tmp13 / tmp0;
2022-11-23T02:04:38.2452302Z             auto tmp15 = tmp14 * tmp14;
2022-11-23T02:04:38.2452854Z             auto tmp16 = tmp15 * tmp15;
2022-11-23T02:04:38.2453560Z             auto tmp17 = tmp16 * tmp14;
2022-11-23T02:04:38.2454062Z             auto tmp18 = tmp17 * tmp17;
2022-11-23T02:04:38.2454488Z             auto tmp19 = tmp18.log();
2022-11-23T02:04:38.2455001Z             auto tmp20 = tmp19.floor();
2022-11-23T02:04:38.2455493Z             auto tmp21 = tmp20.ceil();
2022-11-23T02:04:38.2455971Z             auto tmp22 = tmp21.trunc();
2022-11-23T02:04:38.2456726Z             auto tmp23 = tmp22.lgamma();
2022-11-23T02:04:38.2457290Z             auto tmp24 = tmp23.fmod(tmp11);
2022-11-23T02:04:38.2457989Z             auto tmp25 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), decltype(tmp24)(0) < tmp24);
2022-11-23T02:04:38.2459031Z             auto tmp26 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), tmp24 < decltype(tmp24)(0));
2022-11-23T02:04:38.2459852Z             auto tmp27 = tmp25 - tmp26;
2022-11-23T02:04:38.2460305Z             auto tmp28 = tmp27 + tmp11;
2022-11-23T02:04:38.2460808Z             tmp28.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:38.2461224Z         }
2022-11-23T02:04:38.2461753Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.2462168Z         for(long i0=200; i0<200; i0+=1)
2022-11-23T02:04:38.2462627Z         {
2022-11-23T02:04:38.2463259Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.2463702Z             auto tmp12 = in_ptr1[i0];
2022-11-23T02:04:38.2464246Z             auto tmp1 = std::abs(tmp0);
2022-11-23T02:04:38.2464746Z             auto tmp2 = std::sin(tmp1);
2022-11-23T02:04:38.2465274Z             auto tmp3 = -tmp2;
2022-11-23T02:04:38.2465734Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T02:04:38.2466347Z             auto tmp5 = std::exp(-tmp4);
2022-11-23T02:04:38.2466813Z             auto tmp6 = 1 / (1 + tmp5);
2022-11-23T02:04:38.2467302Z             auto tmp7 = tmp6 * (tmp6>0);
2022-11-23T02:04:38.2467781Z             auto tmp8 = std::cos(tmp7);
2022-11-23T02:04:38.2468275Z             auto tmp9 = std::exp(tmp8);
2022-11-23T02:04:38.2468802Z             auto tmp10 = std::sqrt(tmp9);
2022-11-23T02:04:38.2469279Z             auto tmp11 = tmp10 + tmp0;
2022-11-23T02:04:38.2469883Z             auto tmp13 = tmp11 - tmp12;
2022-11-23T02:04:38.2470392Z             auto tmp14 = tmp13 * tmp0;
2022-11-23T02:04:38.2470843Z             auto tmp15 = tmp14 / tmp0;
2022-11-23T02:04:38.2471308Z             auto tmp16 = tmp15 * tmp15;
2022-11-23T02:04:38.2471733Z             auto tmp17 = tmp16 * tmp16;
2022-11-23T02:04:38.2472302Z             auto tmp18 = tmp17 * tmp15;
2022-11-23T02:04:38.2472726Z             auto tmp19 = tmp18 * tmp18;
2022-11-23T02:04:38.2473210Z             auto tmp20 = std::log(tmp19);
2022-11-23T02:04:38.2473734Z             auto tmp21 = std::floor(tmp20);
2022-11-23T02:04:38.2474267Z             auto tmp22 = std::ceil(tmp21);
2022-11-23T02:04:38.2474798Z             auto tmp23 = std::trunc(tmp22);
2022-11-23T02:04:38.2475332Z             auto tmp24 = std::lgamma(tmp23);
2022-11-23T02:04:38.2475820Z             auto tmp25 = std::fmod(tmp24, tmp12);
2022-11-23T02:04:38.2476391Z             auto tmp26 = tmp25 > 0 ? 1 : 0;
2022-11-23T02:04:38.2476917Z             auto tmp27 = tmp25 < 0 ? 1 : 0;
2022-11-23T02:04:38.2477510Z             auto tmp28 = tmp26 - tmp27;
2022-11-23T02:04:38.2478020Z             auto tmp29 = tmp28 + tmp12;
2022-11-23T02:04:38.2478458Z             in_out_ptr0[i0] = tmp29;
2022-11-23T02:04:38.2478888Z         }
2022-11-23T02:04:38.2479273Z     }
2022-11-23T02:04:38.2479613Z }
2022-11-23T02:04:38.2479965Z ''')
2022-11-23T02:04:38.2480277Z 
2022-11-23T02:04:38.2480292Z 
2022-11-23T02:04:38.2480538Z async_compile.wait(globals())
2022-11-23T02:04:38.2480977Z del async_compile
2022-11-23T02:04:38.2481331Z 
2022-11-23T02:04:38.2481516Z def call(args):
2022-11-23T02:04:38.2481907Z     x1_1, x2_1 = args
2022-11-23T02:04:38.2482393Z     args.clear()
2022-11-23T02:04:38.2483051Z     buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2483631Z     buf1 = buf0; del buf0  # reuse
2022-11-23T02:04:38.2484561Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()))
2022-11-23T02:04:38.2485194Z     del x1_1
2022-11-23T02:04:38.2485628Z     del x2_1
2022-11-23T02:04:38.2486060Z     return (buf1, )
2022-11-23T02:04:38.2486316Z 
2022-11-23T02:04:38.2486316Z 
2022-11-23T02:04:38.2486477Z if __name__ == "__main__":
2022-11-23T02:04:38.2487045Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.2487663Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.2488506Z     x1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2489284Z     x2_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2489939Z     print_performance(lambda: call([x1_1, x2_1]))
2022-11-23T02:04:38.2490288Z 
2022-11-23T02:04:38.2491160Z [2022-11-23 01:50:02,380] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wl/cwlx7gwjcjkjfcobb3wrxmtccbsqhu336o3v4go63k75kzsmdym7.py
2022-11-23T02:04:38.2492471Z [2022-11-23 01:50:02,381] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T02:04:38.2493585Z [2022-11-23 01:50:02,413] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T02:04:38.2494198Z 
2022-11-23T02:04:38.2494428Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.2494896Z import torch
2022-11-23T02:04:38.2495316Z import random
2022-11-23T02:04:38.2495886Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.2496866Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.2497276Z 
2022-11-23T02:04:38.2497394Z aten = torch.ops.aten
2022-11-23T02:04:38.2497983Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.2498579Z async_compile = AsyncCompile()
2022-11-23T02:04:38.2498932Z 
2022-11-23T02:04:38.2498939Z 
2022-11-23T02:04:38.2499315Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.2500161Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.2500904Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:38.2501521Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.2502016Z                        const float* __restrict__ in_ptr1)
2022-11-23T02:04:38.2502490Z {
2022-11-23T02:04:38.2502953Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T02:04:38.2503558Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.2504047Z     {
2022-11-23T02:04:38.2504444Z         #pragma omp for 
2022-11-23T02:04:38.2504886Z         for(long i0=0; i0<20; i0+=1)
2022-11-23T02:04:38.2505441Z         {
2022-11-23T02:04:38.2505892Z             #pragma GCC ivdep
2022-11-23T02:04:38.2506366Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:38.2506806Z             {
2022-11-23T02:04:38.2507240Z                 {
2022-11-23T02:04:38.2507661Z                     {
2022-11-23T02:04:38.2508077Z                         auto tmp0 = in_ptr0[i0 + (20*i1)];
2022-11-23T02:04:38.2508711Z                         auto tmp12 = in_ptr1[i1 + (10*i0)];
2022-11-23T02:04:38.2509236Z                         auto tmp1 = std::abs(tmp0);
2022-11-23T02:04:38.2509733Z                         auto tmp2 = std::sin(tmp1);
2022-11-23T02:04:38.2510453Z                         auto tmp3 = -tmp2;
2022-11-23T02:04:38.2510959Z                         auto tmp4 = tmp3 * tmp3;
2022-11-23T02:04:38.2511655Z                         auto tmp5 = std::exp(-tmp4);
2022-11-23T02:04:38.2512213Z                         auto tmp6 = 1 / (1 + tmp5);
2022-11-23T02:04:38.2512777Z                         auto tmp7 = tmp6 * (tmp6>0);
2022-11-23T02:04:38.2513308Z                         auto tmp8 = std::cos(tmp7);
2022-11-23T02:04:38.2513758Z                         auto tmp9 = std::exp(tmp8);
2022-11-23T02:04:38.2514356Z                         auto tmp10 = std::sqrt(tmp9);
2022-11-23T02:04:38.2514871Z                         auto tmp11 = tmp10 + tmp0;
2022-11-23T02:04:38.2515854Z                         auto tmp13 = tmp11 - tmp12;
2022-11-23T02:04:38.2516396Z                         auto tmp14 = tmp13 * tmp0;
2022-11-23T02:04:38.2516951Z                         auto tmp15 = tmp14 / tmp0;
2022-11-23T02:04:38.2517392Z                         auto tmp16 = tmp15 * tmp15;
2022-11-23T02:04:38.2517954Z                         auto tmp17 = tmp16 * tmp16;
2022-11-23T02:04:38.2518488Z                         auto tmp18 = tmp17 * tmp15;
2022-11-23T02:04:38.2518942Z                         auto tmp19 = tmp18 * tmp18;
2022-11-23T02:04:38.2519438Z                         out_ptr0[i1 + (10*i0)] = tmp19;
2022-11-23T02:04:38.2519944Z                     }
2022-11-23T02:04:38.2520340Z                 }
2022-11-23T02:04:38.2520687Z             }
2022-11-23T02:04:38.2521124Z         }
2022-11-23T02:04:38.2521523Z         #pragma omp for 
2022-11-23T02:04:38.2521962Z         for(long i0=0; i0<25; i0+=1)
2022-11-23T02:04:38.2522389Z         {
2022-11-23T02:04:38.2522983Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2022-11-23T02:04:38.2523702Z             auto tmp6 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:38.2524282Z             auto tmp1 = tmp0.log();
2022-11-23T02:04:38.2524807Z             auto tmp2 = tmp1.floor();
2022-11-23T02:04:38.2525409Z             auto tmp3 = tmp2.ceil();
2022-11-23T02:04:38.2525908Z             auto tmp4 = tmp3.trunc();
2022-11-23T02:04:38.2526349Z             auto tmp5 = tmp4.lgamma();
2022-11-23T02:04:38.2526953Z             auto tmp7 = tmp5.fmod(tmp6);
2022-11-23T02:04:38.2527631Z             auto tmp8 = decltype(tmp7)::blendv(decltype(tmp7)(0), decltype(tmp7)(1), decltype(tmp7)(0) < tmp7);
2022-11-23T02:04:38.2528483Z             auto tmp9 = decltype(tmp7)::blendv(decltype(tmp7)(0), decltype(tmp7)(1), tmp7 < decltype(tmp7)(0));
2022-11-23T02:04:38.2529308Z             auto tmp10 = tmp8 - tmp9;
2022-11-23T02:04:38.2529746Z             auto tmp11 = tmp10 + tmp6;
2022-11-23T02:04:38.2530268Z             tmp11.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:38.2530716Z         }
2022-11-23T02:04:38.2531191Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.2531748Z         for(long i0=200; i0<200; i0+=1)
2022-11-23T02:04:38.2532195Z         {
2022-11-23T02:04:38.2532648Z             auto tmp0 = out_ptr0[i0];
2022-11-23T02:04:38.2533150Z             auto tmp6 = in_ptr1[i0];
2022-11-23T02:04:38.2533674Z             auto tmp1 = std::log(tmp0);
2022-11-23T02:04:38.2534254Z             auto tmp2 = std::floor(tmp1);
2022-11-23T02:04:38.2534745Z             auto tmp3 = std::ceil(tmp2);
2022-11-23T02:04:38.2535259Z             auto tmp4 = std::trunc(tmp3);
2022-11-23T02:04:38.2535767Z             auto tmp5 = std::lgamma(tmp4);
2022-11-23T02:04:38.2536738Z             auto tmp7 = std::fmod(tmp5, tmp6);
2022-11-23T02:04:38.2537342Z             auto tmp8 = tmp7 > 0 ? 1 : 0;
2022-11-23T02:04:38.2537875Z             auto tmp9 = tmp7 < 0 ? 1 : 0;
2022-11-23T02:04:38.2538537Z             auto tmp10 = tmp8 - tmp9;
2022-11-23T02:04:38.2538999Z             auto tmp11 = tmp10 + tmp6;
2022-11-23T02:04:38.2539547Z             in_out_ptr0[i0] = tmp11;
2022-11-23T02:04:38.2540027Z         }
2022-11-23T02:04:38.2540382Z     }
2022-11-23T02:04:38.2540768Z }
2022-11-23T02:04:38.2541206Z ''')
2022-11-23T02:04:38.2541415Z 
2022-11-23T02:04:38.2541415Z 
2022-11-23T02:04:38.2541678Z async_compile.wait(globals())
2022-11-23T02:04:38.2542192Z del async_compile
2022-11-23T02:04:38.2542471Z 
2022-11-23T02:04:38.2542729Z def call(args):
2022-11-23T02:04:38.2543140Z     x1_1, x2_1 = args
2022-11-23T02:04:38.2543619Z     args.clear()
2022-11-23T02:04:38.2544377Z     buf0 = empty_strided((20, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2544936Z     buf1 = buf0; del buf0  # reuse
2022-11-23T02:04:38.2545730Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()))
2022-11-23T02:04:38.2546393Z     del x1_1
2022-11-23T02:04:38.2546778Z     del x2_1
2022-11-23T02:04:38.2547611Z     return (buf1, )
2022-11-23T02:04:38.2547892Z 
2022-11-23T02:04:38.2547920Z 
2022-11-23T02:04:38.2548125Z if __name__ == "__main__":
2022-11-23T02:04:38.2548687Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.2549324Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.2550227Z     x1_1 = rand_strided((20, 10), (1, 20), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2551104Z     x2_1 = rand_strided((20, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2551702Z     print_performance(lambda: call([x1_1, x2_1]))
2022-11-23T02:04:38.2552111Z 
2022-11-23T02:04:38.2553083Z [2022-11-23 01:50:05,085] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lt/cltmbpcq5tg46tk3sxl32p7gxk4zopbv7g3ztqnhfa74awz5gc57.py
2022-11-23T02:04:38.2554432Z [2022-11-23 01:50:05,086] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T02:04:38.2554937Z 
2022-11-23T02:04:38.2555208Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.2555685Z import torch
2022-11-23T02:04:38.2556144Z import random
2022-11-23T02:04:38.2556713Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.2557422Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.2557767Z 
2022-11-23T02:04:38.2558146Z aten = torch.ops.aten
2022-11-23T02:04:38.2558786Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.2559426Z async_compile = AsyncCompile()
2022-11-23T02:04:38.2559817Z 
2022-11-23T02:04:38.2559835Z 
2022-11-23T02:04:38.2560146Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.2560976Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.2561857Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:38.2562518Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.2563039Z                        const float* __restrict__ in_ptr1)
2022-11-23T02:04:38.2563544Z {
2022-11-23T02:04:38.2563918Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.2564395Z     {
2022-11-23T02:04:38.2564810Z         #pragma omp for 
2022-11-23T02:04:38.2565328Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.2565707Z         {
2022-11-23T02:04:38.2566311Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.2567058Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:38.2567600Z             auto tmp1 = tmp0.abs();
2022-11-23T02:04:38.2568121Z             auto tmp2 = tmp1.sin();
2022-11-23T02:04:38.2568626Z             auto tmp3 = tmp2.neg();
2022-11-23T02:04:38.2569119Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T02:04:38.2569662Z             auto tmp5 = decltype(tmp4)(1)/(decltype(tmp4)(1) + tmp4.neg().exp());
2022-11-23T02:04:38.2570376Z             auto tmp6 = at::vec::clamp_min(tmp5, decltype(tmp5)(0));
2022-11-23T02:04:38.2571016Z             auto tmp7 = tmp6.cos();
2022-11-23T02:04:38.2571490Z             auto tmp8 = tmp7.exp();
2022-11-23T02:04:38.2571990Z             auto tmp9 = tmp8.sqrt();
2022-11-23T02:04:38.2572493Z             auto tmp10 = tmp9 + tmp0;
2022-11-23T02:04:38.2573156Z             auto tmp12 = tmp10 - tmp11;
2022-11-23T02:04:38.2573709Z             auto tmp13 = tmp12 * tmp0;
2022-11-23T02:04:38.2574148Z             auto tmp14 = tmp13 / tmp0;
2022-11-23T02:04:38.2574648Z             auto tmp15 = tmp14 * tmp14;
2022-11-23T02:04:38.2575190Z             auto tmp16 = tmp15 * tmp15;
2022-11-23T02:04:38.2575670Z             auto tmp17 = tmp16 * tmp14;
2022-11-23T02:04:38.2576466Z             auto tmp18 = tmp17 * tmp17;
2022-11-23T02:04:38.2577001Z             auto tmp19 = tmp18.log();
2022-11-23T02:04:38.2577485Z             auto tmp20 = tmp19.floor();
2022-11-23T02:04:38.2578068Z             auto tmp21 = tmp20.ceil();
2022-11-23T02:04:38.2578551Z             auto tmp22 = tmp21.trunc();
2022-11-23T02:04:38.2579066Z             auto tmp23 = tmp22.lgamma();
2022-11-23T02:04:38.2579907Z             auto tmp24 = tmp23.fmod(tmp11);
2022-11-23T02:04:38.2580574Z             auto tmp25 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), decltype(tmp24)(0) < tmp24);
2022-11-23T02:04:38.2581532Z             auto tmp26 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), tmp24 < decltype(tmp24)(0));
2022-11-23T02:04:38.2582426Z             auto tmp27 = tmp25 - tmp26;
2022-11-23T02:04:38.2582899Z             auto tmp28 = tmp27 + tmp11;
2022-11-23T02:04:38.2583423Z             tmp28.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:38.2583900Z         }
2022-11-23T02:04:38.2584399Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.2584972Z         for(long i0=64; i0<70; i0+=1)
2022-11-23T02:04:38.2585403Z         {
2022-11-23T02:04:38.2585822Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.2586328Z             auto tmp12 = in_ptr1[i0];
2022-11-23T02:04:38.2586853Z             auto tmp1 = std::abs(tmp0);
2022-11-23T02:04:38.2587438Z             auto tmp2 = std::sin(tmp1);
2022-11-23T02:04:38.2588047Z             auto tmp3 = -tmp2;
2022-11-23T02:04:38.2588463Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T02:04:38.2589143Z             auto tmp5 = std::exp(-tmp4);
2022-11-23T02:04:38.2589807Z             auto tmp6 = 1 / (1 + tmp5);
2022-11-23T02:04:38.2590340Z             auto tmp7 = tmp6 * (tmp6>0);
2022-11-23T02:04:38.2590832Z             auto tmp8 = std::cos(tmp7);
2022-11-23T02:04:38.2591370Z             auto tmp9 = std::exp(tmp8);
2022-11-23T02:04:38.2591882Z             auto tmp10 = std::sqrt(tmp9);
2022-11-23T02:04:38.2592367Z             auto tmp11 = tmp10 + tmp0;
2022-11-23T02:04:38.2592967Z             auto tmp13 = tmp11 - tmp12;
2022-11-23T02:04:38.2593441Z             auto tmp14 = tmp13 * tmp0;
2022-11-23T02:04:38.2593973Z             auto tmp15 = tmp14 / tmp0;
2022-11-23T02:04:38.2594486Z             auto tmp16 = tmp15 * tmp15;
2022-11-23T02:04:38.2595034Z             auto tmp17 = tmp16 * tmp16;
2022-11-23T02:04:38.2595535Z             auto tmp18 = tmp17 * tmp15;
2022-11-23T02:04:38.2596089Z             auto tmp19 = tmp18 * tmp18;
2022-11-23T02:04:38.2596613Z             auto tmp20 = std::log(tmp19);
2022-11-23T02:04:38.2597142Z             auto tmp21 = std::floor(tmp20);
2022-11-23T02:04:38.2597703Z             auto tmp22 = std::ceil(tmp21);
2022-11-23T02:04:38.2598214Z             auto tmp23 = std::trunc(tmp22);
2022-11-23T02:04:38.2598752Z             auto tmp24 = std::lgamma(tmp23);
2022-11-23T02:04:38.2599302Z             auto tmp25 = std::fmod(tmp24, tmp12);
2022-11-23T02:04:38.2599839Z             auto tmp26 = tmp25 > 0 ? 1 : 0;
2022-11-23T02:04:38.2600336Z             auto tmp27 = tmp25 < 0 ? 1 : 0;
2022-11-23T02:04:38.2600967Z             auto tmp28 = tmp26 - tmp27;
2022-11-23T02:04:38.2601481Z             auto tmp29 = tmp28 + tmp12;
2022-11-23T02:04:38.2601988Z             in_out_ptr0[i0] = tmp29;
2022-11-23T02:04:38.2602430Z         }
2022-11-23T02:04:38.2602771Z     }
2022-11-23T02:04:38.2603152Z }
2022-11-23T02:04:38.2603498Z ''')
2022-11-23T02:04:38.2603757Z 
2022-11-23T02:04:38.2603800Z 
2022-11-23T02:04:38.2604061Z async_compile.wait(globals())
2022-11-23T02:04:38.2604542Z del async_compile
2022-11-23T02:04:38.2604949Z 
2022-11-23T02:04:38.2605117Z def call(args):
2022-11-23T02:04:38.2605671Z     x1_1, x2_1 = args
2022-11-23T02:04:38.2606485Z     args.clear()
2022-11-23T02:04:38.2607361Z     buf0 = empty_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2608097Z     buf1 = buf0; del buf0  # reuse
2022-11-23T02:04:38.2608976Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()))
2022-11-23T02:04:38.2609728Z     del x1_1
2022-11-23T02:04:38.2610183Z     del x2_1
2022-11-23T02:04:38.2610793Z     return (buf1, )
2022-11-23T02:04:38.2611152Z 
2022-11-23T02:04:38.2611152Z 
2022-11-23T02:04:38.2611426Z if __name__ == "__main__":
2022-11-23T02:04:38.2612004Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.2612896Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.2614101Z     x1_1 = rand_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2614961Z     x2_1 = rand_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.2615896Z     print_performance(lambda: call([x1_1, x2_1]))
2022-11-23T02:04:38.2616575Z 
2022-11-23T02:04:38.2616804Z ok (9.184s)
2022-11-23T02:04:38.2618751Z   test_abs_cpu (__main__.CpuTests) ... [2022-11-23 01:50:05,094] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.2620171Z [2022-11-23 01:50:05,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.2621529Z [2022-11-23 01:50:05,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.2622847Z [2022-11-23 01:50:05,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.2624207Z [2022-11-23 01:50:05,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.2625920Z [2022-11-23 01:50:05,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.2627505Z [2022-11-23 01:50:05,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.2629185Z [2022-11-23 01:50:05,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.2630817Z [2022-11-23 01:50:05,095] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa6411589d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 664> 
2022-11-23T02:04:38.2631860Z  665           0 LOAD_FAST                0 (a)
2022-11-23T02:04:38.2632444Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.2633136Z               4 LOAD_METHOD              1 (abs)
2022-11-23T02:04:38.2633755Z               6 LOAD_FAST                0 (a)
2022-11-23T02:04:38.2634354Z               8 CALL_METHOD              1
2022-11-23T02:04:38.2635083Z              10 LOAD_CONST               1 (1)
2022-11-23T02:04:38.2635808Z              12 BINARY_ADD
2022-11-23T02:04:38.2636278Z              14 BINARY_TRUE_DIVIDE
2022-11-23T02:04:38.2636963Z              16 BUILD_TUPLE              1
2022-11-23T02:04:38.2637742Z              18 RETURN_VALUE
2022-11-23T02:04:38.2638261Z  
2022-11-23T02:04:38.2638491Z 
2022-11-23T02:04:38.2639415Z [2022-11-23 01:50:05,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:665
2022-11-23T02:04:38.2640641Z [2022-11-23 01:50:05,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:38.2641920Z [2022-11-23 01:50:05,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:38.2643486Z [2022-11-23 01:50:05,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR abs [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.2645167Z [2022-11-23 01:50:05,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method abs of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.2646962Z [2022-11-23 01:50:05,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method abs of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.2648387Z [2022-11-23 01:50:05,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.2649893Z [2022-11-23 01:50:05,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.2651601Z [2022-11-23 01:50:05,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.2652863Z [2022-11-23 01:50:05,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.2654064Z [2022-11-23 01:50:05,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.2655842Z [2022-11-23 01:50:05,102] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa6411589d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 664>
2022-11-23T02:04:38.2657604Z [2022-11-23 01:50:05,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.2658710Z [2022-11-23 01:50:05,102] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.2659941Z [2022-11-23 01:50:05,104] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.2661258Z [2022-11-23 01:50:05,109] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.2662435Z [2022-11-23 01:50:05,110] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.2663299Z  __compiled_fn_5 <eval_with_key>.47 opcode, name, target, args, kwargs
2022-11-23T02:04:38.2664158Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.2665200Z call_function, abs_1, <built-in method abs of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:38.2666205Z call_function, add, <built-in function add>, (abs_1, 1), {}
2022-11-23T02:04:38.2667176Z call_function, truediv, <built-in function truediv>, (ex_0_, add), {}
2022-11-23T02:04:38.2668004Z output, output, output, ((truediv,),), {}
2022-11-23T02:04:38.2668430Z 
2022-11-23T02:04:38.2669425Z [2022-11-23 01:50:05,110] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.2976645Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.2977280Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.2977733Z               4 BUILD_MAP                0
2022-11-23T02:04:38.2978299Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.2978597Z               8 DICT_MERGE               1
2022-11-23T02:04:38.2978980Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.2979450Z              12 RETURN_VALUE
2022-11-23T02:04:38.2979839Z 
2022-11-23T02:04:38.2980031Z  
2022-11-23T02:04:38.2981938Z [2022-11-23 01:50:05,111] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.2982986Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_5)
2022-11-23T02:04:38.2983584Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.2984209Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.2984659Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.2985183Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.2985699Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.2986184Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.2986719Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.2987134Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.2987580Z              18 BUILD_TUPLE              1
2022-11-23T02:04:38.2988026Z              20 RETURN_VALUE
2022-11-23T02:04:38.2988317Z 
2022-11-23T02:04:38.2988499Z  
2022-11-23T02:04:38.2989227Z [2022-11-23 01:50:05,112] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.2989742Z  - 
2022-11-23T02:04:38.2990221Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.2990673Z             {
2022-11-23T02:04:38.2991184Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.2992432Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.2993110Z                 'obj_weakref': None
2022-11-23T02:04:38.2993881Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.2994510Z             }
2022-11-23T02:04:38.2994839Z             
2022-11-23T02:04:38.2995189Z  - 
2022-11-23T02:04:38.2995775Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.2996183Z             {
2022-11-23T02:04:38.2996702Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.2997269Z                 'code': None,
2022-11-23T02:04:38.2997998Z                 'obj_weakref': <weakref at 0x7fa5503878d0; to 'Tensor' at 0x7fa559f89f30>
2022-11-23T02:04:38.2998995Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.2999576Z             }
2022-11-23T02:04:38.2999919Z             
2022-11-23T02:04:38.3000361Z  - 
2022-11-23T02:04:38.3000862Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.3001285Z             {
2022-11-23T02:04:38.3001630Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.3002021Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.3002541Z                 'obj_weakref': None
2022-11-23T02:04:38.3003125Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.3003224Z             }
2022-11-23T02:04:38.3003419Z             
2022-11-23T02:04:38.3003574Z  - 
2022-11-23T02:04:38.3003823Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.3003999Z             {
2022-11-23T02:04:38.3004391Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.3004902Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.3005174Z                 'obj_weakref': None
2022-11-23T02:04:38.3005665Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.3005847Z             }
2022-11-23T02:04:38.3006013Z             
2022-11-23T02:04:38.3006197Z  - 
2022-11-23T02:04:38.3006501Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.3006676Z             {
2022-11-23T02:04:38.3006972Z                 'guard_types': None,
2022-11-23T02:04:38.3007258Z                 'code': None,
2022-11-23T02:04:38.3007589Z                 'obj_weakref': None
2022-11-23T02:04:38.3007852Z                 'guarded_class': None
2022-11-23T02:04:38.3007983Z             }
2022-11-23T02:04:38.3008168Z             
2022-11-23T02:04:38.3008796Z [2022-11-23 01:50:05,121] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 5
2022-11-23T02:04:38.3009586Z [2022-11-23 01:50:07,740] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/y7/cy7vg53hj2uov5qz22symgymjchcxgrwbcadt22zlz2chrjigxsy.py
2022-11-23T02:04:38.3010310Z [2022-11-23 01:50:07,741] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 5
2022-11-23T02:04:38.3010357Z 
2022-11-23T02:04:38.3010589Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.3010781Z import torch
2022-11-23T02:04:38.3010929Z import random
2022-11-23T02:04:38.3011312Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.3011556Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.3011580Z 
2022-11-23T02:04:38.3011799Z aten = torch.ops.aten
2022-11-23T02:04:38.3012107Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.3012329Z async_compile = AsyncCompile()
2022-11-23T02:04:38.3012358Z 
2022-11-23T02:04:38.3012404Z 
2022-11-23T02:04:38.3012746Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.3013197Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.3013462Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.3013954Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.3014129Z {
2022-11-23T02:04:38.3014304Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.3014517Z     {
2022-11-23T02:04:38.3014669Z         #pragma omp for 
2022-11-23T02:04:38.3014842Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:38.3015078Z         {
2022-11-23T02:04:38.3015396Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.3015620Z             auto tmp1 = tmp0.abs();
2022-11-23T02:04:38.3015891Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:38.3016464Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:38.3016702Z             auto tmp4 = tmp0 / tmp3;
2022-11-23T02:04:38.3016927Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.3017058Z         }
2022-11-23T02:04:38.3017346Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.3017598Z         for(long i0=16; i0<17; i0+=1)
2022-11-23T02:04:38.3017755Z         {
2022-11-23T02:04:38.3017919Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.3018221Z             auto tmp1 = std::abs(tmp0);
2022-11-23T02:04:38.3018435Z             auto tmp2 = static_cast<float>(1);
2022-11-23T02:04:38.3018897Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:38.3019063Z             auto tmp4 = tmp0 / tmp3;
2022-11-23T02:04:38.3019290Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:38.3019377Z         }
2022-11-23T02:04:38.3019589Z     }
2022-11-23T02:04:38.3019743Z }
2022-11-23T02:04:38.3019991Z ''')
2022-11-23T02:04:38.3020023Z 
2022-11-23T02:04:38.3020041Z 
2022-11-23T02:04:38.3020254Z async_compile.wait(globals())
2022-11-23T02:04:38.3020425Z del async_compile
2022-11-23T02:04:38.3020445Z 
2022-11-23T02:04:38.3020610Z def call(args):
2022-11-23T02:04:38.3020787Z     arg0_1, = args
2022-11-23T02:04:38.3020903Z     args.clear()
2022-11-23T02:04:38.3021399Z     buf0 = empty_strided((17, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3021748Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.3021875Z     del arg0_1
2022-11-23T02:04:38.3022101Z     return (buf0, )
2022-11-23T02:04:38.3022136Z 
2022-11-23T02:04:38.3022157Z 
2022-11-23T02:04:38.3022328Z if __name__ == "__main__":
2022-11-23T02:04:38.3022601Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.3022913Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.3023390Z     arg0_1 = rand_strided((17, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3023582Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.3023650Z 
2022-11-23T02:04:38.3023845Z ok (2.656s)
2022-11-23T02:04:38.3024644Z   test_adaptive_avg_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:50:07,749] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.3025378Z [2022-11-23 01:50:07,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.3025891Z [2022-11-23 01:50:07,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.3026530Z [2022-11-23 01:50:07,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.3027279Z [2022-11-23 01:50:07,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.3027986Z [2022-11-23 01:50:07,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3028797Z [2022-11-23 01:50:07,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3029647Z [2022-11-23 01:50:07,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3030729Z [2022-11-23 01:50:07,751] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915> 
2022-11-23T02:04:38.3030981Z  1916           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.3031195Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T02:04:38.3031449Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.3031747Z                6 LOAD_CONST               1 ((6, 6))
2022-11-23T02:04:38.3034922Z                8 CALL_METHOD              2
2022-11-23T02:04:38.3035239Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.3035534Z               12 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T02:04:38.3035534Z 
2022-11-23T02:04:38.3035801Z 1917          14 LOAD_FAST                0 (x)
2022-11-23T02:04:38.3036045Z               16 LOAD_CONST               2 (1)
2022-11-23T02:04:38.3036268Z               18 BINARY_ADD
2022-11-23T02:04:38.3036414Z               20 LOAD_CONST               3 ((2, 5))
2022-11-23T02:04:38.3036470Z 
2022-11-23T02:04:38.3036693Z 1916          22 CALL_METHOD              2
2022-11-23T02:04:38.3036935Z               24 BUILD_TUPLE              2
2022-11-23T02:04:38.3037279Z               26 RETURN_VALUE
2022-11-23T02:04:38.3037446Z  
2022-11-23T02:04:38.3037464Z 
2022-11-23T02:04:38.3038301Z [2022-11-23 01:50:07,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T02:04:38.3038808Z [2022-11-23 01:50:07,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.3039634Z [2022-11-23 01:50:07,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.3040238Z [2022-11-23 01:50:07,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T02:04:38.3041020Z [2022-11-23 01:50:07,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T02:04:38.3041881Z [2022-11-23 01:50:07,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.3042457Z [2022-11-23 01:50:07,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.3043294Z [2022-11-23 01:50:07,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.3044047Z [2022-11-23 01:50:07,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1917
2022-11-23T02:04:38.3044723Z [2022-11-23 01:50:07,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T02:04:38.3045552Z [2022-11-23 01:50:07,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T02:04:38.3046478Z [2022-11-23 01:50:07,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.3047334Z [2022-11-23 01:50:07,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T02:04:38.3048047Z [2022-11-23 01:50:07,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T02:04:38.3048969Z [2022-11-23 01:50:07,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.3049828Z [2022-11-23 01:50:07,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.3050411Z [2022-11-23 01:50:07,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.3051271Z [2022-11-23 01:50:07,774] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915>
2022-11-23T02:04:38.3051929Z [2022-11-23 01:50:07,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.3052430Z [2022-11-23 01:50:07,774] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.3053068Z [2022-11-23 01:50:07,776] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.3053653Z [2022-11-23 01:50:07,781] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.3054169Z [2022-11-23 01:50:07,782] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.3054663Z  __compiled_fn_6 <eval_with_key>.53 opcode, name, target, args, kwargs
2022-11-23T02:04:38.3054907Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.3055323Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {}
2022-11-23T02:04:38.3055733Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:38.3056424Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {}
2022-11-23T02:04:38.3056775Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {}
2022-11-23T02:04:38.3056794Z 
2022-11-23T02:04:38.3057553Z [2022-11-23 01:50:07,782] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3057841Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.3058012Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3058262Z               4 BUILD_MAP                0
2022-11-23T02:04:38.3058475Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.3058661Z               8 DICT_MERGE               1
2022-11-23T02:04:38.3058965Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.3059113Z              12 RETURN_VALUE
2022-11-23T02:04:38.3059157Z 
2022-11-23T02:04:38.3059266Z  
2022-11-23T02:04:38.3060068Z [2022-11-23 01:50:07,783] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3060349Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_6)
2022-11-23T02:04:38.3060626Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3060841Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.3061094Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.3061367Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.3061694Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.3061882Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.3062106Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.3062275Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.3062438Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.3062598Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.3062717Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.3062818Z              24 BUILD_TUPLE              2
2022-11-23T02:04:38.3062907Z              26 RETURN_VALUE
2022-11-23T02:04:38.3062935Z 
2022-11-23T02:04:38.3063029Z  
2022-11-23T02:04:38.3063332Z [2022-11-23 01:50:07,784] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.3063434Z  - 
2022-11-23T02:04:38.3063578Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.3063872Z             {
2022-11-23T02:04:38.3064086Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.3064322Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.3064530Z                 'obj_weakref': None
2022-11-23T02:04:38.3064903Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.3064954Z             }
2022-11-23T02:04:38.3065128Z             
2022-11-23T02:04:38.3065209Z  - 
2022-11-23T02:04:38.3065426Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.3065483Z             {
2022-11-23T02:04:38.3065832Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.3066119Z                 'code': None,
2022-11-23T02:04:38.3066466Z                 'obj_weakref': <weakref at 0x7fa5503dc3b0; to 'Tensor' at 0x7fa55a05d350>
2022-11-23T02:04:38.3066798Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.3066911Z             }
2022-11-23T02:04:38.3066994Z             
2022-11-23T02:04:38.3067114Z  - 
2022-11-23T02:04:38.3067261Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.3067490Z             {
2022-11-23T02:04:38.3067967Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.3068473Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.3068724Z                 'obj_weakref': None
2022-11-23T02:04:38.3069334Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.3069498Z             }
2022-11-23T02:04:38.3069697Z             
2022-11-23T02:04:38.3069928Z  - 
2022-11-23T02:04:38.3070251Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.3070400Z             {
2022-11-23T02:04:38.3070778Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.3071402Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.3071668Z                 'obj_weakref': None
2022-11-23T02:04:38.3072156Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.3072290Z             }
2022-11-23T02:04:38.3072560Z             
2022-11-23T02:04:38.3072747Z  - 
2022-11-23T02:04:38.3073037Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.3073187Z             {
2022-11-23T02:04:38.3073469Z                 'guard_types': None,
2022-11-23T02:04:38.3073701Z                 'code': None,
2022-11-23T02:04:38.3074074Z                 'obj_weakref': None
2022-11-23T02:04:38.3074341Z                 'guarded_class': None
2022-11-23T02:04:38.3074518Z             }
2022-11-23T02:04:38.3074687Z             
2022-11-23T02:04:38.3075317Z [2022-11-23 01:50:07,794] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 6
2022-11-23T02:04:38.3075894Z [2022-11-23 01:50:08,045] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._adaptive_avg_pool2d
2022-11-23T02:04:38.3075961Z 
2022-11-23T02:04:38.3076085Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.3076321Z import torch
2022-11-23T02:04:38.3076505Z import random
2022-11-23T02:04:38.3076762Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.3077131Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.3077131Z 
2022-11-23T02:04:38.3077268Z aten = torch.ops.aten
2022-11-23T02:04:38.3077690Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.3077877Z async_compile = AsyncCompile()
2022-11-23T02:04:38.3077934Z 
2022-11-23T02:04:38.3077985Z 
2022-11-23T02:04:38.3078292Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.3078783Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.3079118Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.3079389Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.3079752Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:38.3079895Z {
2022-11-23T02:04:38.3080181Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.3080331Z     {
2022-11-23T02:04:38.3080466Z         #pragma omp for 
2022-11-23T02:04:38.3080728Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.3080841Z         {
2022-11-23T02:04:38.3081087Z             #pragma GCC ivdep
2022-11-23T02:04:38.3081317Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T02:04:38.3081476Z             {
2022-11-23T02:04:38.3081624Z                 #pragma GCC ivdep
2022-11-23T02:04:38.3081862Z                 for(long i2=0; i2<6; i2+=1)
2022-11-23T02:04:38.3082012Z                 {
2022-11-23T02:04:38.3082161Z                     {
2022-11-23T02:04:38.3082366Z                         {
2022-11-23T02:04:38.3082683Z                             auto tmp0 = static_cast<long>(((8*i1) / 3));
2022-11-23T02:04:38.3082982Z                             auto tmp1 = static_cast<long>(((21 + (16*i1)) / 6));
2022-11-23T02:04:38.3083219Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T02:04:38.3083459Z                             auto tmp3 = static_cast<long>(((8*i2) / 3));
2022-11-23T02:04:38.3083790Z                             auto tmp4 = static_cast<long>(((21 + (16*i2)) / 6));
2022-11-23T02:04:38.3084108Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T02:04:38.3084425Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T02:04:38.3084681Z                             float tmp7 = 0.0;
2022-11-23T02:04:38.3084875Z                             if(tmp6)
2022-11-23T02:04:38.3084982Z                             {
2022-11-23T02:04:38.3085277Z                                 auto tmp8 = in_ptr0[(16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T02:04:38.3085467Z                                 tmp7 = tmp8;
2022-11-23T02:04:38.3085656Z                             }
2022-11-23T02:04:38.3085961Z                             auto tmp9 = static_cast<long>(1 + (((8*i2) / 3)));
2022-11-23T02:04:38.3086196Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T02:04:38.3086455Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T02:04:38.3086742Z                             float tmp12 = 0.0;
2022-11-23T02:04:38.3086875Z                             if(tmp11)
2022-11-23T02:04:38.3087110Z                             {
2022-11-23T02:04:38.3087439Z                                 auto tmp13 = in_ptr0[1 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T02:04:38.3087653Z                                 tmp12 = tmp13;
2022-11-23T02:04:38.3087862Z                             }
2022-11-23T02:04:38.3088013Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T02:04:38.3088330Z                             auto tmp15 = static_cast<long>(2 + (((8*i2) / 3)));
2022-11-23T02:04:38.3088580Z                             auto tmp16 = tmp15 < tmp4;
2022-11-23T02:04:38.3088866Z                             auto tmp17 = tmp2 & tmp16;
2022-11-23T02:04:38.3089075Z                             float tmp18 = 0.0;
2022-11-23T02:04:38.3089267Z                             if(tmp17)
2022-11-23T02:04:38.3089408Z                             {
2022-11-23T02:04:38.3089782Z                                 auto tmp19 = in_ptr0[2 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T02:04:38.3089972Z                                 tmp18 = tmp19;
2022-11-23T02:04:38.3090148Z                             }
2022-11-23T02:04:38.3090355Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T02:04:38.3090670Z                             auto tmp21 = static_cast<long>(3 + (((8*i2) / 3)));
2022-11-23T02:04:38.3090912Z                             auto tmp22 = tmp21 < tmp4;
2022-11-23T02:04:38.3091171Z                             auto tmp23 = tmp2 & tmp22;
2022-11-23T02:04:38.3091359Z                             float tmp24 = 0.0;
2022-11-23T02:04:38.3091590Z                             if(tmp23)
2022-11-23T02:04:38.3091903Z                             {
2022-11-23T02:04:38.3092159Z                                 auto tmp25 = in_ptr0[3 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T02:04:38.3092412Z                                 tmp24 = tmp25;
2022-11-23T02:04:38.3092548Z                             }
2022-11-23T02:04:38.3092891Z                             auto tmp26 = tmp24 + tmp20;
2022-11-23T02:04:38.3093261Z                             auto tmp27 = static_cast<long>(1 + (((8*i1) / 3)));
2022-11-23T02:04:38.3093552Z                             auto tmp28 = tmp27 < tmp1;
2022-11-23T02:04:38.3093771Z                             auto tmp29 = tmp28 & tmp5;
2022-11-23T02:04:38.3093920Z                             float tmp30 = 0.0;
2022-11-23T02:04:38.3094018Z                             if(tmp29)
2022-11-23T02:04:38.3094125Z                             {
2022-11-23T02:04:38.3094345Z                                 auto tmp31 = in_ptr0[16 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T02:04:38.3094491Z                                 tmp30 = tmp31;
2022-11-23T02:04:38.3094633Z                             }
2022-11-23T02:04:38.3094708Z                             auto tmp32 = tmp30 + tmp26;
2022-11-23T02:04:38.3094998Z                             auto tmp33 = tmp28 & tmp10;
2022-11-23T02:04:38.3095120Z                             float tmp34 = 0.0;
2022-11-23T02:04:38.3095230Z                             if(tmp33)
2022-11-23T02:04:38.3095301Z                             {
2022-11-23T02:04:38.3095506Z                                 auto tmp35 = in_ptr0[17 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T02:04:38.3095603Z                                 tmp34 = tmp35;
2022-11-23T02:04:38.3095712Z                             }
2022-11-23T02:04:38.3095854Z                             auto tmp36 = tmp34 + tmp32;
2022-11-23T02:04:38.3095975Z                             auto tmp37 = tmp28 & tmp16;
2022-11-23T02:04:38.3096350Z                             float tmp38 = 0.0;
2022-11-23T02:04:38.3096562Z                             if(tmp37)
2022-11-23T02:04:38.3096628Z                             {
2022-11-23T02:04:38.3096820Z                                 auto tmp39 = in_ptr0[18 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T02:04:38.3096958Z                                 tmp38 = tmp39;
2022-11-23T02:04:38.3097093Z                             }
2022-11-23T02:04:38.3097205Z                             auto tmp40 = tmp38 + tmp36;
2022-11-23T02:04:38.3097333Z                             auto tmp41 = tmp28 & tmp22;
2022-11-23T02:04:38.3097469Z                             float tmp42 = 0.0;
2022-11-23T02:04:38.3097628Z                             if(tmp41)
2022-11-23T02:04:38.3097874Z                             {
2022-11-23T02:04:38.3098102Z                                 auto tmp43 = in_ptr0[19 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T02:04:38.3098393Z                                 tmp42 = tmp43;
2022-11-23T02:04:38.3098623Z                             }
2022-11-23T02:04:38.3098780Z                             auto tmp44 = tmp42 + tmp40;
2022-11-23T02:04:38.3098981Z                             auto tmp45 = static_cast<long>(2 + (((8*i1) / 3)));
2022-11-23T02:04:38.3099088Z                             auto tmp46 = tmp45 < tmp1;
2022-11-23T02:04:38.3099246Z                             auto tmp47 = tmp46 & tmp5;
2022-11-23T02:04:38.3099374Z                             float tmp48 = 0.0;
2022-11-23T02:04:38.3099487Z                             if(tmp47)
2022-11-23T02:04:38.3099635Z                             {
2022-11-23T02:04:38.3099778Z                                 auto tmp49 = in_ptr0[32 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T02:04:38.3099918Z                                 tmp48 = tmp49;
2022-11-23T02:04:38.3100005Z                             }
2022-11-23T02:04:38.3100136Z                             auto tmp50 = tmp48 + tmp44;
2022-11-23T02:04:38.3100243Z                             auto tmp51 = tmp46 & tmp10;
2022-11-23T02:04:38.3100795Z                             float tmp52 = 0.0;
2022-11-23T02:04:38.3101000Z                             if(tmp51)
2022-11-23T02:04:38.3101119Z                             {
2022-11-23T02:04:38.3101258Z                                 auto tmp53 = in_ptr0[33 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T02:04:38.3101409Z                                 tmp52 = tmp53;
2022-11-23T02:04:38.3101494Z                             }
2022-11-23T02:04:38.3101674Z                             auto tmp54 = tmp52 + tmp50;
2022-11-23T02:04:38.3101804Z                             auto tmp55 = tmp46 & tmp16;
2022-11-23T02:04:38.3101943Z                             float tmp56 = 0.0;
2022-11-23T02:04:38.3102045Z                             if(tmp55)
2022-11-23T02:04:38.3102102Z                             {
2022-11-23T02:04:38.3102308Z                                 auto tmp57 = in_ptr0[34 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T02:04:38.3102400Z                                 tmp56 = tmp57;
2022-11-23T02:04:38.3102572Z                             }
2022-11-23T02:04:38.3102720Z                             auto tmp58 = tmp56 + tmp54;
2022-11-23T02:04:38.3102832Z                             auto tmp59 = tmp46 & tmp22;
2022-11-23T02:04:38.3103104Z                             float tmp60 = 0.0;
2022-11-23T02:04:38.3103192Z                             if(tmp59)
2022-11-23T02:04:38.3103323Z                             {
2022-11-23T02:04:38.3103454Z                                 auto tmp61 = in_ptr0[35 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T02:04:38.3103594Z                                 tmp60 = tmp61;
2022-11-23T02:04:38.3103714Z                             }
2022-11-23T02:04:38.3103858Z                             auto tmp62 = tmp60 + tmp58;
2022-11-23T02:04:38.3104012Z                             auto tmp63 = static_cast<long>(3 + (((8*i1) / 3)));
2022-11-23T02:04:38.3104173Z                             auto tmp64 = tmp63 < tmp1;
2022-11-23T02:04:38.3104328Z                             auto tmp65 = tmp64 & tmp5;
2022-11-23T02:04:38.3104453Z                             float tmp66 = 0.0;
2022-11-23T02:04:38.3104586Z                             if(tmp65)
2022-11-23T02:04:38.3104711Z                             {
2022-11-23T02:04:38.3104854Z                                 auto tmp67 = in_ptr0[48 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T02:04:38.3105022Z                                 tmp66 = tmp67;
2022-11-23T02:04:38.3105111Z                             }
2022-11-23T02:04:38.3105228Z                             auto tmp68 = tmp66 + tmp62;
2022-11-23T02:04:38.3105399Z                             auto tmp69 = tmp64 & tmp10;
2022-11-23T02:04:38.3105535Z                             float tmp70 = 0.0;
2022-11-23T02:04:38.3105667Z                             if(tmp69)
2022-11-23T02:04:38.3105772Z                             {
2022-11-23T02:04:38.3105952Z                                 auto tmp71 = in_ptr0[49 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T02:04:38.3106085Z                                 tmp70 = tmp71;
2022-11-23T02:04:38.3106182Z                             }
2022-11-23T02:04:38.3106291Z                             auto tmp72 = tmp70 + tmp68;
2022-11-23T02:04:38.3106481Z                             auto tmp73 = tmp64 & tmp16;
2022-11-23T02:04:38.3106613Z                             float tmp74 = 0.0;
2022-11-23T02:04:38.3106699Z                             if(tmp73)
2022-11-23T02:04:38.3106834Z                             {
2022-11-23T02:04:38.3107005Z                                 auto tmp75 = in_ptr0[50 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T02:04:38.3107152Z                                 tmp74 = tmp75;
2022-11-23T02:04:38.3107185Z                             }
2022-11-23T02:04:38.3107343Z                             auto tmp76 = tmp74 + tmp72;
2022-11-23T02:04:38.3107504Z                             auto tmp77 = tmp64 & tmp22;
2022-11-23T02:04:38.3107643Z                             float tmp78 = 0.0;
2022-11-23T02:04:38.3107852Z                             if(tmp77)
2022-11-23T02:04:38.3107969Z                             {
2022-11-23T02:04:38.3108140Z                                 auto tmp79 = in_ptr0[51 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T02:04:38.3108254Z                                 tmp78 = tmp79;
2022-11-23T02:04:38.3108396Z                             }
2022-11-23T02:04:38.3108652Z                             auto tmp80 = tmp78 + tmp76;
2022-11-23T02:04:38.3108899Z                             float tmp81 = 0.0;
2022-11-23T02:04:38.3109097Z                             if(tmp6)
2022-11-23T02:04:38.3109246Z                             {
2022-11-23T02:04:38.3109479Z                                 auto tmp82 = static_cast<float>(1);
2022-11-23T02:04:38.3109709Z                                 tmp81 = tmp82;
2022-11-23T02:04:38.3109953Z                             }
2022-11-23T02:04:38.3110135Z                             float tmp83 = 0.0;
2022-11-23T02:04:38.3110360Z                             if(tmp11)
2022-11-23T02:04:38.3110522Z                             {
2022-11-23T02:04:38.3110765Z                                 auto tmp84 = static_cast<float>(1);
2022-11-23T02:04:38.3111097Z                                 tmp83 = tmp84;
2022-11-23T02:04:38.3111280Z                             }
2022-11-23T02:04:38.3111487Z                             auto tmp85 = tmp83 + tmp81;
2022-11-23T02:04:38.3111677Z                             float tmp86 = 0.0;
2022-11-23T02:04:38.3111886Z                             if(tmp17)
2022-11-23T02:04:38.3112020Z                             {
2022-11-23T02:04:38.3112322Z                                 auto tmp87 = static_cast<float>(1);
2022-11-23T02:04:38.3112550Z                                 tmp86 = tmp87;
2022-11-23T02:04:38.3112719Z                             }
2022-11-23T02:04:38.3112930Z                             auto tmp88 = tmp86 + tmp85;
2022-11-23T02:04:38.3113208Z                             float tmp89 = 0.0;
2022-11-23T02:04:38.3113416Z                             if(tmp23)
2022-11-23T02:04:38.3113608Z                             {
2022-11-23T02:04:38.3113951Z                                 auto tmp90 = static_cast<float>(1);
2022-11-23T02:04:38.3114146Z                                 tmp89 = tmp90;
2022-11-23T02:04:38.3114373Z                             }
2022-11-23T02:04:38.3114589Z                             auto tmp91 = tmp89 + tmp88;
2022-11-23T02:04:38.3114824Z                             float tmp92 = 0.0;
2022-11-23T02:04:38.3115050Z                             if(tmp29)
2022-11-23T02:04:38.3115186Z                             {
2022-11-23T02:04:38.3115510Z                                 auto tmp93 = static_cast<float>(1);
2022-11-23T02:04:38.3115700Z                                 tmp92 = tmp93;
2022-11-23T02:04:38.3115876Z                             }
2022-11-23T02:04:38.3116104Z                             auto tmp94 = tmp92 + tmp91;
2022-11-23T02:04:38.3116283Z                             float tmp95 = 0.0;
2022-11-23T02:04:38.3116550Z                             if(tmp33)
2022-11-23T02:04:38.3116688Z                             {
2022-11-23T02:04:38.3116974Z                                 auto tmp96 = static_cast<float>(1);
2022-11-23T02:04:38.3117146Z                                 tmp95 = tmp96;
2022-11-23T02:04:38.3117293Z                             }
2022-11-23T02:04:38.3117527Z                             auto tmp97 = tmp95 + tmp94;
2022-11-23T02:04:38.3117711Z                             float tmp98 = 0.0;
2022-11-23T02:04:38.3117967Z                             if(tmp37)
2022-11-23T02:04:38.3118170Z                             {
2022-11-23T02:04:38.3118441Z                                 auto tmp99 = static_cast<float>(1);
2022-11-23T02:04:38.3118593Z                                 tmp98 = tmp99;
2022-11-23T02:04:38.3118769Z                             }
2022-11-23T02:04:38.3119028Z                             auto tmp100 = tmp98 + tmp97;
2022-11-23T02:04:38.3119328Z                             float tmp101 = 0.0;
2022-11-23T02:04:38.3119515Z                             if(tmp41)
2022-11-23T02:04:38.3119675Z                             {
2022-11-23T02:04:38.3120008Z                                 auto tmp102 = static_cast<float>(1);
2022-11-23T02:04:38.3120242Z                                 tmp101 = tmp102;
2022-11-23T02:04:38.3120378Z                             }
2022-11-23T02:04:38.3120647Z                             auto tmp103 = tmp101 + tmp100;
2022-11-23T02:04:38.3120896Z                             float tmp104 = 0.0;
2022-11-23T02:04:38.3121051Z                             if(tmp47)
2022-11-23T02:04:38.3121269Z                             {
2022-11-23T02:04:38.3121512Z                                 auto tmp105 = static_cast<float>(1);
2022-11-23T02:04:38.3121746Z                                 tmp104 = tmp105;
2022-11-23T02:04:38.3121931Z                             }
2022-11-23T02:04:38.3122208Z                             auto tmp106 = tmp104 + tmp103;
2022-11-23T02:04:38.3122360Z                             float tmp107 = 0.0;
2022-11-23T02:04:38.3122552Z                             if(tmp51)
2022-11-23T02:04:38.3122757Z                             {
2022-11-23T02:04:38.3123125Z                                 auto tmp108 = static_cast<float>(1);
2022-11-23T02:04:38.3123344Z                                 tmp107 = tmp108;
2022-11-23T02:04:38.3123532Z                             }
2022-11-23T02:04:38.3123787Z                             auto tmp109 = tmp107 + tmp106;
2022-11-23T02:04:38.3123975Z                             float tmp110 = 0.0;
2022-11-23T02:04:38.3124185Z                             if(tmp55)
2022-11-23T02:04:38.3124359Z                             {
2022-11-23T02:04:38.3124596Z                                 auto tmp111 = static_cast<float>(1);
2022-11-23T02:04:38.3124825Z                                 tmp110 = tmp111;
2022-11-23T02:04:38.3125020Z                             }
2022-11-23T02:04:38.3125286Z                             auto tmp112 = tmp110 + tmp109;
2022-11-23T02:04:38.3125455Z                             float tmp113 = 0.0;
2022-11-23T02:04:38.3125657Z                             if(tmp59)
2022-11-23T02:04:38.3125829Z                             {
2022-11-23T02:04:38.3126091Z                                 auto tmp114 = static_cast<float>(1);
2022-11-23T02:04:38.3126328Z                                 tmp113 = tmp114;
2022-11-23T02:04:38.3126467Z                             }
2022-11-23T02:04:38.3126759Z                             auto tmp115 = tmp113 + tmp112;
2022-11-23T02:04:38.3127000Z                             float tmp116 = 0.0;
2022-11-23T02:04:38.3127144Z                             if(tmp65)
2022-11-23T02:04:38.3127306Z                             {
2022-11-23T02:04:38.3127617Z                                 auto tmp117 = static_cast<float>(1);
2022-11-23T02:04:38.3127851Z                                 tmp116 = tmp117;
2022-11-23T02:04:38.3128051Z                             }
2022-11-23T02:04:38.3128310Z                             auto tmp118 = tmp116 + tmp115;
2022-11-23T02:04:38.3128545Z                             float tmp119 = 0.0;
2022-11-23T02:04:38.3128659Z                             if(tmp69)
2022-11-23T02:04:38.3128876Z                             {
2022-11-23T02:04:38.3129148Z                                 auto tmp120 = static_cast<float>(1);
2022-11-23T02:04:38.3129308Z                                 tmp119 = tmp120;
2022-11-23T02:04:38.3129545Z                             }
2022-11-23T02:04:38.3129765Z                             auto tmp121 = tmp119 + tmp118;
2022-11-23T02:04:38.3130018Z                             float tmp122 = 0.0;
2022-11-23T02:04:38.3130171Z                             if(tmp73)
2022-11-23T02:04:38.3130309Z                             {
2022-11-23T02:04:38.3130588Z                                 auto tmp123 = static_cast<float>(1);
2022-11-23T02:04:38.3130810Z                                 tmp122 = tmp123;
2022-11-23T02:04:38.3131037Z                             }
2022-11-23T02:04:38.3131383Z                             auto tmp124 = tmp122 + tmp121;
2022-11-23T02:04:38.3131607Z                             float tmp125 = 0.0;
2022-11-23T02:04:38.3131803Z                             if(tmp77)
2022-11-23T02:04:38.3132025Z                             {
2022-11-23T02:04:38.3132251Z                                 auto tmp126 = static_cast<float>(1);
2022-11-23T02:04:38.3132488Z                                 tmp125 = tmp126;
2022-11-23T02:04:38.3132628Z                             }
2022-11-23T02:04:38.3132901Z                             auto tmp127 = tmp125 + tmp124;
2022-11-23T02:04:38.3133125Z                             auto tmp128 = tmp80 / tmp127;
2022-11-23T02:04:38.3133372Z                             out_ptr0[i2 + (6*i1) + (36*i0)] = tmp128;
2022-11-23T02:04:38.3133488Z                         }
2022-11-23T02:04:38.3133729Z                     }
2022-11-23T02:04:38.3133929Z                 }
2022-11-23T02:04:38.3134133Z             }
2022-11-23T02:04:38.3134321Z         }
2022-11-23T02:04:38.3134507Z         #pragma omp for 
2022-11-23T02:04:38.3134690Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T02:04:38.3134865Z         {
2022-11-23T02:04:38.3135337Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.3135773Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:38.3135962Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.3136473Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T02:04:38.3136662Z         }
2022-11-23T02:04:38.3136868Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.3137045Z         for(long i0=2048; i0<2048; i0+=1)
2022-11-23T02:04:38.3137219Z         {
2022-11-23T02:04:38.3137477Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.3137732Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:38.3137972Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.3138170Z             out_ptr1[i0] = tmp2;
2022-11-23T02:04:38.3138360Z         }
2022-11-23T02:04:38.3138511Z     }
2022-11-23T02:04:38.3138709Z }
2022-11-23T02:04:38.3139107Z ''')
2022-11-23T02:04:38.3139158Z 
2022-11-23T02:04:38.3139175Z 
2022-11-23T02:04:38.3139388Z async_compile.wait(globals())
2022-11-23T02:04:38.3139616Z del async_compile
2022-11-23T02:04:38.3139649Z 
2022-11-23T02:04:38.3139852Z def call(args):
2022-11-23T02:04:38.3140049Z     arg0_1, = args
2022-11-23T02:04:38.3140231Z     args.clear()
2022-11-23T02:04:38.3140771Z     buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3141275Z     buf1 = empty_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3141751Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.3141977Z     del arg0_1
2022-11-23T02:04:38.3142206Z     buf2 = aten._adaptive_avg_pool2d(buf1, [2, 5])
2022-11-23T02:04:38.3142415Z     del buf1
2022-11-23T02:04:38.3142510Z     buf3 = buf2
2022-11-23T02:04:38.3142780Z     assert_size_stride(buf3, (2, 4, 2, 5), (40, 10, 5, 1))
2022-11-23T02:04:38.3142931Z     del buf2
2022-11-23T02:04:38.3143224Z     return (buf0, buf3, )
2022-11-23T02:04:38.3143260Z 
2022-11-23T02:04:38.3143291Z 
2022-11-23T02:04:38.3143476Z if __name__ == "__main__":
2022-11-23T02:04:38.3143941Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.3144182Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.3144736Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3144979Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.3145983Z [2022-11-23 01:50:11,222] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sv/csv5z6h2ewo22oifgmudexlkx7ygwgemzcrzyep62rpqjghjhw6p.py
2022-11-23T02:04:38.3146635Z [2022-11-23 01:50:11,222] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 6
2022-11-23T02:04:38.3147516Z [2022-11-23 01:50:11,229] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.3148345Z [2022-11-23 01:50:11,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.3148948Z [2022-11-23 01:50:11,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.3149575Z [2022-11-23 01:50:11,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.3150306Z [2022-11-23 01:50:11,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.3151123Z [2022-11-23 01:50:11,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3152075Z [2022-11-23 01:50:11,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3152823Z [2022-11-23 01:50:11,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3154022Z [2022-11-23 01:50:11,230] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915> 
2022-11-23T02:04:38.3154322Z  1916           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.3154618Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T02:04:38.3154893Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.3155104Z                6 LOAD_CONST               1 ((6, 6))
2022-11-23T02:04:38.3155346Z                8 CALL_METHOD              2
2022-11-23T02:04:38.3155516Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.3155848Z               12 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T02:04:38.3155865Z 
2022-11-23T02:04:38.3156136Z 1917          14 LOAD_FAST                0 (x)
2022-11-23T02:04:38.3156392Z               16 LOAD_CONST               2 (1)
2022-11-23T02:04:38.3156614Z               18 BINARY_ADD
2022-11-23T02:04:38.3156889Z               20 LOAD_CONST               3 ((2, 5))
2022-11-23T02:04:38.3156909Z 
2022-11-23T02:04:38.3157091Z 1916          22 CALL_METHOD              2
2022-11-23T02:04:38.3157286Z               24 BUILD_TUPLE              2
2022-11-23T02:04:38.3157530Z               26 RETURN_VALUE
2022-11-23T02:04:38.3157600Z  
2022-11-23T02:04:38.3157654Z 
2022-11-23T02:04:38.3158660Z [2022-11-23 01:50:11,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T02:04:38.3159182Z [2022-11-23 01:50:11,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.3160110Z [2022-11-23 01:50:11,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.3160929Z [2022-11-23 01:50:11,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T02:04:38.3161733Z [2022-11-23 01:50:11,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T02:04:38.3162629Z [2022-11-23 01:50:11,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.3163225Z [2022-11-23 01:50:11,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.3164555Z [2022-11-23 01:50:11,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.3168089Z [2022-11-23 01:50:11,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1917
2022-11-23T02:04:38.3168978Z [2022-11-23 01:50:11,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T02:04:38.3169836Z [2022-11-23 01:50:11,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T02:04:38.3170798Z [2022-11-23 01:50:11,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.3171679Z [2022-11-23 01:50:11,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T02:04:38.3172513Z [2022-11-23 01:50:11,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T02:04:38.3173695Z [2022-11-23 01:50:11,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.3174502Z [2022-11-23 01:50:11,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.3175099Z [2022-11-23 01:50:11,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.3176324Z [2022-11-23 01:50:11,253] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915>
2022-11-23T02:04:38.3177097Z [2022-11-23 01:50:11,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.3178006Z [2022-11-23 01:50:11,254] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.3178679Z [2022-11-23 01:50:11,255] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.3179387Z [2022-11-23 01:50:11,261] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.3179827Z [2022-11-23 01:50:11,262] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.3180194Z  __compiled_fn_7 <eval_with_key>.59 opcode, name, target, args, kwargs
2022-11-23T02:04:38.3180370Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.3180815Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {}
2022-11-23T02:04:38.3181323Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:38.3181683Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {}
2022-11-23T02:04:38.3182014Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {}
2022-11-23T02:04:38.3182096Z 
2022-11-23T02:04:38.3183002Z [2022-11-23 01:50:11,262] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3183243Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.3183451Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3183728Z               4 BUILD_MAP                0
2022-11-23T02:04:38.3183984Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.3184256Z               8 DICT_MERGE               1
2022-11-23T02:04:38.3184486Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.3184658Z              12 RETURN_VALUE
2022-11-23T02:04:38.3184687Z 
2022-11-23T02:04:38.3184802Z  
2022-11-23T02:04:38.3185730Z [2022-11-23 01:50:11,262] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3186299Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_7)
2022-11-23T02:04:38.3186483Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3186784Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.3187031Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.3187212Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.3187479Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.3187686Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.3187976Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.3188211Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.3188492Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.3188728Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.3188899Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.3189098Z              24 BUILD_TUPLE              2
2022-11-23T02:04:38.3189268Z              26 RETURN_VALUE
2022-11-23T02:04:38.3189362Z 
2022-11-23T02:04:38.3189476Z  
2022-11-23T02:04:38.3189939Z [2022-11-23 01:50:11,263] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.3190200Z  - 
2022-11-23T02:04:38.3190506Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.3190639Z             {
2022-11-23T02:04:38.3191100Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.3191686Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.3191939Z                 'obj_weakref': None
2022-11-23T02:04:38.3192500Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.3192621Z             }
2022-11-23T02:04:38.3192774Z             
2022-11-23T02:04:38.3193032Z  - 
2022-11-23T02:04:38.3193361Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.3193570Z             {
2022-11-23T02:04:38.3193860Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.3194065Z                 'code': None,
2022-11-23T02:04:38.3194686Z                 'obj_weakref': <weakref at 0x7fa550054090; to 'Tensor' at 0x7fa55a05d350>
2022-11-23T02:04:38.3195339Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.3195473Z             }
2022-11-23T02:04:38.3195671Z             
2022-11-23T02:04:38.3195790Z  - 
2022-11-23T02:04:38.3196199Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.3196344Z             {
2022-11-23T02:04:38.3196737Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.3197129Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.3197429Z                 'obj_weakref': None
2022-11-23T02:04:38.3198062Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.3198261Z             }
2022-11-23T02:04:38.3198351Z             
2022-11-23T02:04:38.3198597Z  - 
2022-11-23T02:04:38.3198911Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.3199080Z             {
2022-11-23T02:04:38.3199761Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.3200298Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.3200663Z                 'obj_weakref': None
2022-11-23T02:04:38.3201186Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.3201304Z             }
2022-11-23T02:04:38.3201573Z             
2022-11-23T02:04:38.3201740Z  - 
2022-11-23T02:04:38.3202102Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.3202261Z             {
2022-11-23T02:04:38.3202591Z                 'guard_types': None,
2022-11-23T02:04:38.3202833Z                 'code': None,
2022-11-23T02:04:38.3203140Z                 'obj_weakref': None
2022-11-23T02:04:38.3203517Z                 'guarded_class': None
2022-11-23T02:04:38.3203676Z             }
2022-11-23T02:04:38.3203924Z             
2022-11-23T02:04:38.3204580Z [2022-11-23 01:50:11,274] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 7
2022-11-23T02:04:38.3204614Z 
2022-11-23T02:04:38.3204646Z 
2022-11-23T02:04:38.3204907Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.3205133Z import torch
2022-11-23T02:04:38.3205287Z import random
2022-11-23T02:04:38.3205581Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.3205907Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.3205926Z 
2022-11-23T02:04:38.3206173Z aten = torch.ops.aten
2022-11-23T02:04:38.3206633Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.3206859Z async_compile = AsyncCompile()
2022-11-23T02:04:38.3206908Z 
2022-11-23T02:04:38.3206932Z 
2022-11-23T02:04:38.3207211Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.3207734Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.3208094Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.3208362Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.3208575Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:38.3208742Z {
2022-11-23T02:04:38.3209086Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.3209268Z     {
2022-11-23T02:04:38.3209492Z         #pragma omp for 
2022-11-23T02:04:38.3209646Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.3209786Z         {
2022-11-23T02:04:38.3210012Z             #pragma GCC ivdep
2022-11-23T02:04:38.3210276Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T02:04:38.3210462Z             {
2022-11-23T02:04:38.3210672Z                 #pragma GCC ivdep
2022-11-23T02:04:38.3210900Z                 for(long i2=0; i2<6; i2+=1)
2022-11-23T02:04:38.3211035Z                 {
2022-11-23T02:04:38.3211147Z                     {
2022-11-23T02:04:38.3211339Z                         {
2022-11-23T02:04:38.3211714Z                             auto tmp0 = static_cast<long>((i1 / 2));
2022-11-23T02:04:38.3212081Z                             auto tmp1 = static_cast<long>(((8 + (3*i1)) / 6));
2022-11-23T02:04:38.3212330Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T02:04:38.3212580Z                             auto tmp3 = static_cast<long>((i2 / 2));
2022-11-23T02:04:38.3212917Z                             auto tmp4 = static_cast<long>(((8 + (3*i2)) / 6));
2022-11-23T02:04:38.3213177Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T02:04:38.3213428Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T02:04:38.3213732Z                             float tmp7 = 0.0;
2022-11-23T02:04:38.3213928Z                             if(tmp6)
2022-11-23T02:04:38.3214159Z                             {
2022-11-23T02:04:38.3214464Z                                 auto tmp8 = in_ptr0[(3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2022-11-23T02:04:38.3214717Z                                 tmp7 = tmp8;
2022-11-23T02:04:38.3214863Z                             }
2022-11-23T02:04:38.3215126Z                             auto tmp9 = static_cast<long>(1 + (i2 / 2));
2022-11-23T02:04:38.3215412Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T02:04:38.3215643Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T02:04:38.3215943Z                             float tmp12 = 0.0;
2022-11-23T02:04:38.3216560Z                             if(tmp11)
2022-11-23T02:04:38.3216825Z                             {
2022-11-23T02:04:38.3217156Z                                 auto tmp13 = in_ptr0[1 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2022-11-23T02:04:38.3217383Z                                 tmp12 = tmp13;
2022-11-23T02:04:38.3217600Z                             }
2022-11-23T02:04:38.3217841Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T02:04:38.3218103Z                             auto tmp15 = static_cast<long>(1 + (i1 / 2));
2022-11-23T02:04:38.3218368Z                             auto tmp16 = tmp15 < tmp1;
2022-11-23T02:04:38.3218894Z                             auto tmp17 = tmp16 & tmp5;
2022-11-23T02:04:38.3219117Z                             float tmp18 = 0.0;
2022-11-23T02:04:38.3219257Z                             if(tmp17)
2022-11-23T02:04:38.3219468Z                             {
2022-11-23T02:04:38.3219717Z                                 auto tmp19 = in_ptr0[3 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2022-11-23T02:04:38.3219980Z                                 tmp18 = tmp19;
2022-11-23T02:04:38.3220146Z                             }
2022-11-23T02:04:38.3220433Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T02:04:38.3220721Z                             auto tmp21 = tmp16 & tmp10;
2022-11-23T02:04:38.3220934Z                             float tmp22 = 0.0;
2022-11-23T02:04:38.3221108Z                             if(tmp21)
2022-11-23T02:04:38.3221279Z                             {
2022-11-23T02:04:38.3221644Z                                 auto tmp23 = in_ptr0[4 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2022-11-23T02:04:38.3221872Z                                 tmp22 = tmp23;
2022-11-23T02:04:38.3222116Z                             }
2022-11-23T02:04:38.3222410Z                             auto tmp24 = tmp22 + tmp20;
2022-11-23T02:04:38.3222729Z                             float tmp25 = 0.0;
2022-11-23T02:04:38.3222949Z                             if(tmp6)
2022-11-23T02:04:38.3223085Z                             {
2022-11-23T02:04:38.3223382Z                                 auto tmp26 = static_cast<float>(1);
2022-11-23T02:04:38.3223634Z                                 tmp25 = tmp26;
2022-11-23T02:04:38.3223851Z                             }
2022-11-23T02:04:38.3224075Z                             float tmp27 = 0.0;
2022-11-23T02:04:38.3224268Z                             if(tmp11)
2022-11-23T02:04:38.3224437Z                             {
2022-11-23T02:04:38.3224668Z                                 auto tmp28 = static_cast<float>(1);
2022-11-23T02:04:38.3224979Z                                 tmp27 = tmp28;
2022-11-23T02:04:38.3225190Z                             }
2022-11-23T02:04:38.3225513Z                             auto tmp29 = tmp27 + tmp25;
2022-11-23T02:04:38.3225790Z                             float tmp30 = 0.0;
2022-11-23T02:04:38.3226002Z                             if(tmp17)
2022-11-23T02:04:38.3226122Z                             {
2022-11-23T02:04:38.3226430Z                                 auto tmp31 = static_cast<float>(1);
2022-11-23T02:04:38.3226694Z                                 tmp30 = tmp31;
2022-11-23T02:04:38.3226844Z                             }
2022-11-23T02:04:38.3227082Z                             auto tmp32 = tmp30 + tmp29;
2022-11-23T02:04:38.3227316Z                             float tmp33 = 0.0;
2022-11-23T02:04:38.3227509Z                             if(tmp21)
2022-11-23T02:04:38.3227679Z                             {
2022-11-23T02:04:38.3228010Z                                 auto tmp34 = static_cast<float>(1);
2022-11-23T02:04:38.3228169Z                                 tmp33 = tmp34;
2022-11-23T02:04:38.3228374Z                             }
2022-11-23T02:04:38.3228601Z                             auto tmp35 = tmp33 + tmp32;
2022-11-23T02:04:38.3228906Z                             auto tmp36 = tmp24 / tmp35;
2022-11-23T02:04:38.3229218Z                             out_ptr0[i2 + (6*i1) + (36*i0)] = tmp36;
2022-11-23T02:04:38.3229354Z                         }
2022-11-23T02:04:38.3229533Z                     }
2022-11-23T02:04:38.3229689Z                 }
2022-11-23T02:04:38.3229850Z             }
2022-11-23T02:04:38.3229947Z         }
2022-11-23T02:04:38.3230193Z         #pragma omp for 
2022-11-23T02:04:38.3230438Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.3230587Z         {
2022-11-23T02:04:38.3230750Z             #pragma GCC ivdep
2022-11-23T02:04:38.3231034Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T02:04:38.3231223Z             {
2022-11-23T02:04:38.3231434Z                 #pragma GCC ivdep
2022-11-23T02:04:38.3231768Z                 for(long i2=0; i2<5; i2+=1)
2022-11-23T02:04:38.3231898Z                 {
2022-11-23T02:04:38.3232065Z                     {
2022-11-23T02:04:38.3232248Z                         {
2022-11-23T02:04:38.3232632Z                             auto tmp0 = static_cast<long>(((3*i1) / 2));
2022-11-23T02:04:38.3232943Z                             auto tmp1 = static_cast<long>(2 + (((3*i1) / 2)));
2022-11-23T02:04:38.3233202Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T02:04:38.3233482Z                             auto tmp3 = static_cast<long>(((3*i2) / 5));
2022-11-23T02:04:38.3233859Z                             auto tmp4 = static_cast<long>(((7 + (3*i2)) / 5));
2022-11-23T02:04:38.3234126Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T02:04:38.3234343Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T02:04:38.3234549Z                             float tmp7 = 0.0;
2022-11-23T02:04:38.3234730Z                             if(tmp6)
2022-11-23T02:04:38.3234874Z                             {
2022-11-23T02:04:38.3235293Z                                 auto tmp8 = in_ptr0[(3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2022-11-23T02:04:38.3235544Z                                 auto tmp9 = static_cast<float>(1);
2022-11-23T02:04:38.3235873Z                                 auto tmp10 = tmp8 + tmp9;
2022-11-23T02:04:38.3236101Z                                 tmp7 = tmp10;
2022-11-23T02:04:38.3236225Z                             }
2022-11-23T02:04:38.3236597Z                             auto tmp11 = static_cast<long>(1 + (((3*i2) / 5)));
2022-11-23T02:04:38.3236831Z                             auto tmp12 = tmp11 < tmp4;
2022-11-23T02:04:38.3237101Z                             auto tmp13 = tmp2 & tmp12;
2022-11-23T02:04:38.3237364Z                             float tmp14 = 0.0;
2022-11-23T02:04:38.3237547Z                             if(tmp13)
2022-11-23T02:04:38.3237668Z                             {
2022-11-23T02:04:38.3237995Z                                 auto tmp15 = in_ptr0[1 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2022-11-23T02:04:38.3238260Z                                 auto tmp16 = static_cast<float>(1);
2022-11-23T02:04:38.3238564Z                                 auto tmp17 = tmp15 + tmp16;
2022-11-23T02:04:38.3238836Z                                 tmp14 = tmp17;
2022-11-23T02:04:38.3239079Z                             }
2022-11-23T02:04:38.3239301Z                             auto tmp18 = tmp14 + tmp7;
2022-11-23T02:04:38.3239555Z                             auto tmp19 = static_cast<long>(1 + (((3*i1) / 2)));
2022-11-23T02:04:38.3239807Z                             auto tmp20 = tmp19 < tmp1;
2022-11-23T02:04:38.3240028Z                             auto tmp21 = tmp20 & tmp5;
2022-11-23T02:04:38.3240319Z                             float tmp22 = 0.0;
2022-11-23T02:04:38.3240551Z                             if(tmp21)
2022-11-23T02:04:38.3240761Z                             {
2022-11-23T02:04:38.3241057Z                                 auto tmp23 = in_ptr0[3 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2022-11-23T02:04:38.3241304Z                                 auto tmp24 = static_cast<float>(1);
2022-11-23T02:04:38.3241544Z                                 auto tmp25 = tmp23 + tmp24;
2022-11-23T02:04:38.3241804Z                                 tmp22 = tmp25;
2022-11-23T02:04:38.3241986Z                             }
2022-11-23T02:04:38.3242213Z                             auto tmp26 = tmp22 + tmp18;
2022-11-23T02:04:38.3242451Z                             auto tmp27 = tmp20 & tmp12;
2022-11-23T02:04:38.3242647Z                             float tmp28 = 0.0;
2022-11-23T02:04:38.3242909Z                             if(tmp27)
2022-11-23T02:04:38.3243027Z                             {
2022-11-23T02:04:38.3243311Z                                 auto tmp29 = in_ptr0[4 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2022-11-23T02:04:38.3243577Z                                 auto tmp30 = static_cast<float>(1);
2022-11-23T02:04:38.3243919Z                                 auto tmp31 = tmp29 + tmp30;
2022-11-23T02:04:38.3244109Z                                 tmp28 = tmp31;
2022-11-23T02:04:38.3244352Z                             }
2022-11-23T02:04:38.3244587Z                             auto tmp32 = tmp28 + tmp26;
2022-11-23T02:04:38.3244840Z                             float tmp33 = 0.0;
2022-11-23T02:04:38.3244969Z                             if(tmp6)
2022-11-23T02:04:38.3245097Z                             {
2022-11-23T02:04:38.3245403Z                                 auto tmp34 = static_cast<float>(1);
2022-11-23T02:04:38.3245649Z                                 tmp33 = tmp34;
2022-11-23T02:04:38.3245805Z                             }
2022-11-23T02:04:38.3246017Z                             float tmp35 = 0.0;
2022-11-23T02:04:38.3246199Z                             if(tmp13)
2022-11-23T02:04:38.3246350Z                             {
2022-11-23T02:04:38.3246622Z                                 auto tmp36 = static_cast<float>(1);
2022-11-23T02:04:38.3246990Z                                 tmp35 = tmp36;
2022-11-23T02:04:38.3247151Z                             }
2022-11-23T02:04:38.3247408Z                             auto tmp37 = tmp35 + tmp33;
2022-11-23T02:04:38.3247676Z                             float tmp38 = 0.0;
2022-11-23T02:04:38.3247960Z                             if(tmp21)
2022-11-23T02:04:38.3248090Z                             {
2022-11-23T02:04:38.3248340Z                                 auto tmp39 = static_cast<float>(1);
2022-11-23T02:04:38.3248556Z                                 tmp38 = tmp39;
2022-11-23T02:04:38.3248743Z                             }
2022-11-23T02:04:38.3248920Z                             auto tmp40 = tmp38 + tmp37;
2022-11-23T02:04:38.3249193Z                             float tmp41 = 0.0;
2022-11-23T02:04:38.3249421Z                             if(tmp27)
2022-11-23T02:04:38.3249537Z                             {
2022-11-23T02:04:38.3249801Z                                 auto tmp42 = static_cast<float>(1);
2022-11-23T02:04:38.3250062Z                                 tmp41 = tmp42;
2022-11-23T02:04:38.3250269Z                             }
2022-11-23T02:04:38.3250505Z                             auto tmp43 = tmp41 + tmp40;
2022-11-23T02:04:38.3250766Z                             auto tmp44 = tmp32 / tmp43;
2022-11-23T02:04:38.3251058Z                             out_ptr1[i2 + (5*i1) + (10*i0)] = tmp44;
2022-11-23T02:04:38.3251256Z                         }
2022-11-23T02:04:38.3251390Z                     }
2022-11-23T02:04:38.3251570Z                 }
2022-11-23T02:04:38.3251709Z             }
2022-11-23T02:04:38.3251893Z         }
2022-11-23T02:04:38.3252044Z     }
2022-11-23T02:04:38.3252216Z }
2022-11-23T02:04:38.3252559Z ''')
2022-11-23T02:04:38.3252588Z 
2022-11-23T02:04:38.3252646Z 
2022-11-23T02:04:38.3252832Z async_compile.wait(globals())
2022-11-23T02:04:38.3253060Z del async_compile
2022-11-23T02:04:38.3253060Z 
2022-11-23T02:04:38.3253176Z def call(args):
2022-11-23T02:04:38.3253354Z     arg0_1, = args
2022-11-23T02:04:38.3253580Z     args.clear()
2022-11-23T02:04:38.3254205Z     buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3254762Z     buf1 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3255125Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.3255285Z     del arg0_1
2022-11-23T02:04:38.3255489Z     return (buf0, buf1, )
2022-11-23T02:04:38.3255509Z 
2022-11-23T02:04:38.3255565Z 
2022-11-23T02:04:38.3255766Z if __name__ == "__main__":
2022-11-23T02:04:38.3256015Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.3256667Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.3257253Z     arg0_1 = rand_strided((2, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3257484Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.3258644Z [2022-11-23 01:50:14,280] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/77/c77ooeogevloxvraib3hd423h4m56axffzhdnu6263zg32xtyg6z.py
2022-11-23T02:04:38.3259244Z [2022-11-23 01:50:14,280] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 7
2022-11-23T02:04:38.3259827Z [2022-11-23 01:50:14,286] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.3260631Z [2022-11-23 01:50:14,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.3261194Z [2022-11-23 01:50:14,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.3261795Z [2022-11-23 01:50:14,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.3262495Z [2022-11-23 01:50:14,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.3263310Z [2022-11-23 01:50:14,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3264446Z [2022-11-23 01:50:14,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3265290Z [2022-11-23 01:50:14,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3266246Z [2022-11-23 01:50:14,287] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915> 
2022-11-23T02:04:38.3266455Z  1916           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.3266742Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T02:04:38.3266974Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.3267188Z                6 LOAD_CONST               1 ((6, 6))
2022-11-23T02:04:38.3267419Z                8 CALL_METHOD              2
2022-11-23T02:04:38.3267706Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.3267980Z               12 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T02:04:38.3268016Z 
2022-11-23T02:04:38.3268231Z 1917          14 LOAD_FAST                0 (x)
2022-11-23T02:04:38.3268373Z               16 LOAD_CONST               2 (1)
2022-11-23T02:04:38.3268598Z               18 BINARY_ADD
2022-11-23T02:04:38.3268823Z               20 LOAD_CONST               3 ((2, 5))
2022-11-23T02:04:38.3268849Z 
2022-11-23T02:04:38.3269070Z 1916          22 CALL_METHOD              2
2022-11-23T02:04:38.3269267Z               24 BUILD_TUPLE              2
2022-11-23T02:04:38.3269474Z               26 RETURN_VALUE
2022-11-23T02:04:38.3269664Z  
2022-11-23T02:04:38.3269664Z 
2022-11-23T02:04:38.3270512Z [2022-11-23 01:50:14,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T02:04:38.3271003Z [2022-11-23 01:50:14,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.3271849Z [2022-11-23 01:50:14,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.3272465Z [2022-11-23 01:50:14,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T02:04:38.3273287Z [2022-11-23 01:50:14,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T02:04:38.3274165Z [2022-11-23 01:50:14,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.3274893Z [2022-11-23 01:50:14,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.3275886Z [2022-11-23 01:50:14,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.3276651Z [2022-11-23 01:50:14,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1917
2022-11-23T02:04:38.3277433Z [2022-11-23 01:50:14,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T02:04:38.3278204Z [2022-11-23 01:50:14,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T02:04:38.3279199Z [2022-11-23 01:50:14,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.3280084Z [2022-11-23 01:50:14,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T02:04:38.3280926Z [2022-11-23 01:50:14,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T02:04:38.3281860Z [2022-11-23 01:50:14,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.3282548Z [2022-11-23 01:50:14,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.3283154Z [2022-11-23 01:50:14,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.3284159Z [2022-11-23 01:50:14,310] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb8f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915>
2022-11-23T02:04:38.3284767Z [2022-11-23 01:50:14,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.3285347Z [2022-11-23 01:50:14,310] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.3286040Z [2022-11-23 01:50:14,312] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.3286622Z [2022-11-23 01:50:14,318] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.3287095Z [2022-11-23 01:50:14,318] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.3287396Z  __compiled_fn_8 <eval_with_key>.65 opcode, name, target, args, kwargs
2022-11-23T02:04:38.3287682Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.3288020Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {}
2022-11-23T02:04:38.3288459Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:38.3288834Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {}
2022-11-23T02:04:38.3289153Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {}
2022-11-23T02:04:38.3289202Z 
2022-11-23T02:04:38.3290070Z [2022-11-23 01:50:14,319] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3290328Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.3290537Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3290733Z               4 BUILD_MAP                0
2022-11-23T02:04:38.3290945Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.3291139Z               8 DICT_MERGE               1
2022-11-23T02:04:38.3291332Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.3291847Z              12 RETURN_VALUE
2022-11-23T02:04:38.3291847Z 
2022-11-23T02:04:38.3292019Z  
2022-11-23T02:04:38.3292836Z [2022-11-23 01:50:14,319] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3293130Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_8)
2022-11-23T02:04:38.3293287Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3293545Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.3293684Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.3293917Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.3294221Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.3294486Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.3294749Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.3294933Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.3295189Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.3295418Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.3295623Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.3295906Z              24 BUILD_TUPLE              2
2022-11-23T02:04:38.3296533Z              26 RETURN_VALUE
2022-11-23T02:04:38.3296576Z 
2022-11-23T02:04:38.3296753Z  
2022-11-23T02:04:38.3297222Z [2022-11-23 01:50:14,320] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.3297401Z  - 
2022-11-23T02:04:38.3297741Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.3297854Z             {
2022-11-23T02:04:38.3298202Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.3298650Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.3298913Z                 'obj_weakref': None
2022-11-23T02:04:38.3299495Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.3299606Z             }
2022-11-23T02:04:38.3299787Z             
2022-11-23T02:04:38.3299947Z  - 
2022-11-23T02:04:38.3300271Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.3300409Z             {
2022-11-23T02:04:38.3300737Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.3301044Z                 'code': None,
2022-11-23T02:04:38.3301547Z                 'obj_weakref': <weakref at 0x7fa53c4a83b0; to 'Tensor' at 0x7fa55a05d350>
2022-11-23T02:04:38.3302106Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.3302331Z             }
2022-11-23T02:04:38.3302560Z             
2022-11-23T02:04:38.3302766Z  - 
2022-11-23T02:04:38.3303079Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.3303184Z             {
2022-11-23T02:04:38.3303622Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.3304033Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.3304338Z                 'obj_weakref': None
2022-11-23T02:04:38.3304873Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.3305085Z             }
2022-11-23T02:04:38.3305293Z             
2022-11-23T02:04:38.3305414Z  - 
2022-11-23T02:04:38.3305738Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.3305898Z             {
2022-11-23T02:04:38.3306279Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.3306814Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.3307039Z                 'obj_weakref': None
2022-11-23T02:04:38.3307654Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.3307751Z             }
2022-11-23T02:04:38.3307939Z             
2022-11-23T02:04:38.3308071Z  - 
2022-11-23T02:04:38.3308421Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.3308799Z             {
2022-11-23T02:04:38.3309098Z                 'guard_types': None,
2022-11-23T02:04:38.3309404Z                 'code': None,
2022-11-23T02:04:38.3309644Z                 'obj_weakref': None
2022-11-23T02:04:38.3309924Z                 'guarded_class': None
2022-11-23T02:04:38.3310093Z             }
2022-11-23T02:04:38.3310257Z             
2022-11-23T02:04:38.3310910Z [2022-11-23 01:50:14,330] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 8
2022-11-23T02:04:38.3310965Z 
2022-11-23T02:04:38.3310988Z 
2022-11-23T02:04:38.3311243Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.3311428Z import torch
2022-11-23T02:04:38.3311578Z import random
2022-11-23T02:04:38.3311910Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.3312202Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.3312218Z 
2022-11-23T02:04:38.3312400Z aten = torch.ops.aten
2022-11-23T02:04:38.3312724Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.3312967Z async_compile = AsyncCompile()
2022-11-23T02:04:38.3312996Z 
2022-11-23T02:04:38.3313019Z 
2022-11-23T02:04:38.3313372Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.3313926Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.3314221Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.3314415Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.3314673Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:38.3314818Z {
2022-11-23T02:04:38.3315060Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.3315260Z     {
2022-11-23T02:04:38.3315476Z         #pragma omp for 
2022-11-23T02:04:38.3315628Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.3315746Z         {
2022-11-23T02:04:38.3315980Z             #pragma GCC ivdep
2022-11-23T02:04:38.3316179Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T02:04:38.3316372Z             {
2022-11-23T02:04:38.3316594Z                 #pragma GCC ivdep
2022-11-23T02:04:38.3316813Z                 for(long i2=0; i2<5; i2+=1)
2022-11-23T02:04:38.3316964Z                 {
2022-11-23T02:04:38.3317111Z                     {
2022-11-23T02:04:38.3317332Z                         {
2022-11-23T02:04:38.3317625Z                             auto tmp0 = static_cast<long>(3*i1);
2022-11-23T02:04:38.3317899Z                             auto tmp1 = static_cast<long>(3 + (3*i1));
2022-11-23T02:04:38.3318116Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T02:04:38.3318410Z                             auto tmp3 = static_cast<long>(((6*i2) / 5));
2022-11-23T02:04:38.3318746Z                             auto tmp4 = static_cast<long>(2 + (((6*i2) / 5)));
2022-11-23T02:04:38.3318995Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T02:04:38.3319231Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T02:04:38.3319430Z                             float tmp7 = 0.0;
2022-11-23T02:04:38.3319632Z                             if(tmp6)
2022-11-23T02:04:38.3319817Z                             {
2022-11-23T02:04:38.3320077Z                                 auto tmp8 = in_ptr0[(18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T02:04:38.3320454Z                                 auto tmp9 = static_cast<float>(1);
2022-11-23T02:04:38.3320707Z                                 auto tmp10 = tmp8 + tmp9;
2022-11-23T02:04:38.3320846Z                                 tmp7 = tmp10;
2022-11-23T02:04:38.3321056Z                             }
2022-11-23T02:04:38.3321336Z                             auto tmp11 = static_cast<long>(1 + (((6*i2) / 5)));
2022-11-23T02:04:38.3321616Z                             auto tmp12 = tmp11 < tmp4;
2022-11-23T02:04:38.3321872Z                             auto tmp13 = tmp2 & tmp12;
2022-11-23T02:04:38.3322108Z                             float tmp14 = 0.0;
2022-11-23T02:04:38.3322350Z                             if(tmp13)
2022-11-23T02:04:38.3322574Z                             {
2022-11-23T02:04:38.3322909Z                                 auto tmp15 = in_ptr0[1 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T02:04:38.3323199Z                                 auto tmp16 = static_cast<float>(1);
2022-11-23T02:04:38.3323472Z                                 auto tmp17 = tmp15 + tmp16;
2022-11-23T02:04:38.3323675Z                                 tmp14 = tmp17;
2022-11-23T02:04:38.3323848Z                             }
2022-11-23T02:04:38.3324105Z                             auto tmp18 = tmp14 + tmp7;
2022-11-23T02:04:38.3324366Z                             auto tmp19 = static_cast<long>(1 + (3*i1));
2022-11-23T02:04:38.3324612Z                             auto tmp20 = tmp19 < tmp1;
2022-11-23T02:04:38.3324893Z                             auto tmp21 = tmp20 & tmp5;
2022-11-23T02:04:38.3325132Z                             float tmp22 = 0.0;
2022-11-23T02:04:38.3325311Z                             if(tmp21)
2022-11-23T02:04:38.3325520Z                             {
2022-11-23T02:04:38.3325813Z                                 auto tmp23 = in_ptr0[6 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T02:04:38.3326059Z                                 auto tmp24 = static_cast<float>(1);
2022-11-23T02:04:38.3326405Z                                 auto tmp25 = tmp23 + tmp24;
2022-11-23T02:04:38.3326652Z                                 tmp22 = tmp25;
2022-11-23T02:04:38.3326868Z                             }
2022-11-23T02:04:38.3327101Z                             auto tmp26 = tmp22 + tmp18;
2022-11-23T02:04:38.3327292Z                             auto tmp27 = tmp20 & tmp12;
2022-11-23T02:04:38.3327557Z                             float tmp28 = 0.0;
2022-11-23T02:04:38.3327845Z                             if(tmp27)
2022-11-23T02:04:38.3327967Z                             {
2022-11-23T02:04:38.3328294Z                                 auto tmp29 = in_ptr0[7 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T02:04:38.3328639Z                                 auto tmp30 = static_cast<float>(1);
2022-11-23T02:04:38.3328900Z                                 auto tmp31 = tmp29 + tmp30;
2022-11-23T02:04:38.3329100Z                                 tmp28 = tmp31;
2022-11-23T02:04:38.3329241Z                             }
2022-11-23T02:04:38.3329497Z                             auto tmp32 = tmp28 + tmp26;
2022-11-23T02:04:38.3329872Z                             auto tmp33 = static_cast<long>(2 + (3*i1));
2022-11-23T02:04:38.3330049Z                             auto tmp34 = tmp33 < tmp1;
2022-11-23T02:04:38.3330317Z                             auto tmp35 = tmp34 & tmp5;
2022-11-23T02:04:38.3330483Z                             float tmp36 = 0.0;
2022-11-23T02:04:38.3330761Z                             if(tmp35)
2022-11-23T02:04:38.3330982Z                             {
2022-11-23T02:04:38.3331216Z                                 auto tmp37 = in_ptr0[12 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T02:04:38.3331492Z                                 auto tmp38 = static_cast<float>(1);
2022-11-23T02:04:38.3331744Z                                 auto tmp39 = tmp37 + tmp38;
2022-11-23T02:04:38.3331969Z                                 tmp36 = tmp39;
2022-11-23T02:04:38.3332194Z                             }
2022-11-23T02:04:38.3332469Z                             auto tmp40 = tmp36 + tmp32;
2022-11-23T02:04:38.3332763Z                             auto tmp41 = tmp34 & tmp12;
2022-11-23T02:04:38.3332978Z                             float tmp42 = 0.0;
2022-11-23T02:04:38.3333159Z                             if(tmp41)
2022-11-23T02:04:38.3333292Z                             {
2022-11-23T02:04:38.3333598Z                                 auto tmp43 = in_ptr0[13 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T02:04:38.3333979Z                                 auto tmp44 = static_cast<float>(1);
2022-11-23T02:04:38.3334293Z                                 auto tmp45 = tmp43 + tmp44;
2022-11-23T02:04:38.3334499Z                                 tmp42 = tmp45;
2022-11-23T02:04:38.3334677Z                             }
2022-11-23T02:04:38.3334995Z                             auto tmp46 = tmp42 + tmp40;
2022-11-23T02:04:38.3335316Z                             auto tmp47 = tmp1 < tmp1;
2022-11-23T02:04:38.3335587Z                             auto tmp48 = tmp47 & tmp5;
2022-11-23T02:04:38.3335841Z                             float tmp49 = 0.0;
2022-11-23T02:04:38.3336009Z                             if(tmp48)
2022-11-23T02:04:38.3336517Z                             {
2022-11-23T02:04:38.3336941Z                                 auto tmp50 = in_ptr0[18 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T02:04:38.3337266Z                                 auto tmp51 = static_cast<float>(1);
2022-11-23T02:04:38.3337480Z                                 auto tmp52 = tmp50 + tmp51;
2022-11-23T02:04:38.3337674Z                                 tmp49 = tmp52;
2022-11-23T02:04:38.3337812Z                             }
2022-11-23T02:04:38.3338028Z                             auto tmp53 = tmp49 + tmp46;
2022-11-23T02:04:38.3338349Z                             auto tmp54 = tmp47 & tmp12;
2022-11-23T02:04:38.3338553Z                             float tmp55 = 0.0;
2022-11-23T02:04:38.3338805Z                             if(tmp54)
2022-11-23T02:04:38.3339028Z                             {
2022-11-23T02:04:38.3339525Z                                 auto tmp56 = in_ptr0[19 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T02:04:38.3339793Z                                 auto tmp57 = static_cast<float>(1);
2022-11-23T02:04:38.3340081Z                                 auto tmp58 = tmp56 + tmp57;
2022-11-23T02:04:38.3340356Z                                 tmp55 = tmp58;
2022-11-23T02:04:38.3340493Z                             }
2022-11-23T02:04:38.3340764Z                             auto tmp59 = tmp55 + tmp53;
2022-11-23T02:04:38.3341010Z                             float tmp60 = 0.0;
2022-11-23T02:04:38.3341192Z                             if(tmp6)
2022-11-23T02:04:38.3341329Z                             {
2022-11-23T02:04:38.3341666Z                                 auto tmp61 = static_cast<float>(1);
2022-11-23T02:04:38.3341886Z                                 tmp60 = tmp61;
2022-11-23T02:04:38.3342117Z                             }
2022-11-23T02:04:38.3342313Z                             float tmp62 = 0.0;
2022-11-23T02:04:38.3342520Z                             if(tmp13)
2022-11-23T02:04:38.3342686Z                             {
2022-11-23T02:04:38.3342982Z                                 auto tmp63 = static_cast<float>(1);
2022-11-23T02:04:38.3343224Z                                 tmp62 = tmp63;
2022-11-23T02:04:38.3343446Z                             }
2022-11-23T02:04:38.3343670Z                             auto tmp64 = tmp62 + tmp60;
2022-11-23T02:04:38.3343918Z                             float tmp65 = 0.0;
2022-11-23T02:04:38.3344114Z                             if(tmp21)
2022-11-23T02:04:38.3344314Z                             {
2022-11-23T02:04:38.3344619Z                                 auto tmp66 = static_cast<float>(1);
2022-11-23T02:04:38.3344840Z                                 tmp65 = tmp66;
2022-11-23T02:04:38.3344998Z                             }
2022-11-23T02:04:38.3345209Z                             auto tmp67 = tmp65 + tmp64;
2022-11-23T02:04:38.3345497Z                             float tmp68 = 0.0;
2022-11-23T02:04:38.3345666Z                             if(tmp27)
2022-11-23T02:04:38.3346115Z                             {
2022-11-23T02:04:38.3346444Z                                 auto tmp69 = static_cast<float>(1);
2022-11-23T02:04:38.3346680Z                                 tmp68 = tmp69;
2022-11-23T02:04:38.3346843Z                             }
2022-11-23T02:04:38.3347059Z                             auto tmp70 = tmp68 + tmp67;
2022-11-23T02:04:38.3347257Z                             float tmp71 = 0.0;
2022-11-23T02:04:38.3347500Z                             if(tmp35)
2022-11-23T02:04:38.3347587Z                             {
2022-11-23T02:04:38.3347965Z                                 auto tmp72 = static_cast<float>(1);
2022-11-23T02:04:38.3348246Z                                 tmp71 = tmp72;
2022-11-23T02:04:38.3348507Z                             }
2022-11-23T02:04:38.3348709Z                             auto tmp73 = tmp71 + tmp70;
2022-11-23T02:04:38.3348926Z                             float tmp74 = 0.0;
2022-11-23T02:04:38.3349173Z                             if(tmp41)
2022-11-23T02:04:38.3349380Z                             {
2022-11-23T02:04:38.3349644Z                                 auto tmp75 = static_cast<float>(1);
2022-11-23T02:04:38.3349759Z                                 tmp74 = tmp75;
2022-11-23T02:04:38.3349987Z                             }
2022-11-23T02:04:38.3350213Z                             auto tmp76 = tmp74 + tmp73;
2022-11-23T02:04:38.3350460Z                             float tmp77 = 0.0;
2022-11-23T02:04:38.3350659Z                             if(tmp48)
2022-11-23T02:04:38.3350861Z                             {
2022-11-23T02:04:38.3351202Z                                 auto tmp78 = static_cast<float>(1);
2022-11-23T02:04:38.3351340Z                                 tmp77 = tmp78;
2022-11-23T02:04:38.3351517Z                             }
2022-11-23T02:04:38.3351799Z                             auto tmp79 = tmp77 + tmp76;
2022-11-23T02:04:38.3352074Z                             float tmp80 = 0.0;
2022-11-23T02:04:38.3352365Z                             if(tmp54)
2022-11-23T02:04:38.3352560Z                             {
2022-11-23T02:04:38.3352896Z                                 auto tmp81 = static_cast<float>(1);
2022-11-23T02:04:38.3353097Z                                 tmp80 = tmp81;
2022-11-23T02:04:38.3353262Z                             }
2022-11-23T02:04:38.3353518Z                             auto tmp82 = tmp80 + tmp79;
2022-11-23T02:04:38.3353738Z                             auto tmp83 = tmp59 / tmp82;
2022-11-23T02:04:38.3354071Z                             out_ptr0[i2 + (5*i1) + (10*i0)] = tmp83;
2022-11-23T02:04:38.3354293Z                         }
2022-11-23T02:04:38.3354480Z                     }
2022-11-23T02:04:38.3354659Z                 }
2022-11-23T02:04:38.3354765Z             }
2022-11-23T02:04:38.3354907Z         }
2022-11-23T02:04:38.3355147Z         #pragma omp for 
2022-11-23T02:04:38.3355394Z         for(long i0=0; i0<36; i0+=1)
2022-11-23T02:04:38.3355588Z         {
2022-11-23T02:04:38.3356046Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.3356280Z             tmp0.store(out_ptr1 + 8*i0);
2022-11-23T02:04:38.3356413Z         }
2022-11-23T02:04:38.3356658Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.3356885Z         for(long i0=288; i0<288; i0+=1)
2022-11-23T02:04:38.3357092Z         {
2022-11-23T02:04:38.3357331Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.3357500Z             out_ptr1[i0] = tmp0;
2022-11-23T02:04:38.3357625Z         }
2022-11-23T02:04:38.3357791Z     }
2022-11-23T02:04:38.3357949Z }
2022-11-23T02:04:38.3358301Z ''')
2022-11-23T02:04:38.3358343Z 
2022-11-23T02:04:38.3358377Z 
2022-11-23T02:04:38.3358658Z async_compile.wait(globals())
2022-11-23T02:04:38.3358894Z del async_compile
2022-11-23T02:04:38.3358911Z 
2022-11-23T02:04:38.3359099Z def call(args):
2022-11-23T02:04:38.3359253Z     arg0_1, = args
2022-11-23T02:04:38.3359402Z     args.clear()
2022-11-23T02:04:38.3360023Z     buf0 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3360627Z     buf1 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3361060Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.3361239Z     del arg0_1
2022-11-23T02:04:38.3361455Z     return (buf1, buf0, )
2022-11-23T02:04:38.3361473Z 
2022-11-23T02:04:38.3361526Z 
2022-11-23T02:04:38.3361767Z if __name__ == "__main__":
2022-11-23T02:04:38.3362045Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.3362279Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.3362970Z     arg0_1 = rand_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3363311Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.3364247Z [2022-11-23 01:50:17,395] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/iy/ciyewi5w7ozhfnpu24fhtu5aymdsfqtlzinccgdcaqq5b2xgbcrg.py
2022-11-23T02:04:38.3364976Z [2022-11-23 01:50:17,396] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 8
2022-11-23T02:04:38.3365023Z 
2022-11-23T02:04:38.3365188Z ok (9.654s)
2022-11-23T02:04:38.3365954Z   test_adaptive_avg_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:50:17,404] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.3366778Z [2022-11-23 01:50:17,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.3367376Z [2022-11-23 01:50:17,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.3367932Z [2022-11-23 01:50:17,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.3368781Z [2022-11-23 01:50:17,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.3369615Z [2022-11-23 01:50:17,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3370507Z [2022-11-23 01:50:17,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3371329Z [2022-11-23 01:50:17,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3372329Z [2022-11-23 01:50:17,405] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb90b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1940> 
2022-11-23T02:04:38.3372556Z  1941           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.3372860Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T02:04:38.3373044Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.3373332Z                6 LOAD_CONST               1 ((4, 4))
2022-11-23T02:04:38.3373595Z                8 CALL_METHOD              2
2022-11-23T02:04:38.3373803Z               10 RETURN_VALUE
2022-11-23T02:04:38.3373915Z  
2022-11-23T02:04:38.3373939Z 
2022-11-23T02:04:38.3374710Z [2022-11-23 01:50:17,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1941
2022-11-23T02:04:38.3375391Z [2022-11-23 01:50:17,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.3376551Z [2022-11-23 01:50:17,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.3377247Z [2022-11-23 01:50:17,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T02:04:38.3378106Z [2022-11-23 01:50:17,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 4) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T02:04:38.3379015Z [2022-11-23 01:50:17,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.3379649Z [2022-11-23 01:50:17,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.3380693Z [2022-11-23 01:50:17,416] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb90b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1940>
2022-11-23T02:04:38.3381602Z [2022-11-23 01:50:17,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.3382231Z [2022-11-23 01:50:17,416] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.3382881Z [2022-11-23 01:50:17,418] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.3383563Z [2022-11-23 01:50:17,421] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.3383990Z [2022-11-23 01:50:17,422] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.3384399Z  __compiled_fn_9 <eval_with_key>.71 opcode, name, target, args, kwargs
2022-11-23T02:04:38.3384634Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.3385101Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (4, 4)), {}
2022-11-23T02:04:38.3385384Z output, output, output, ((_adaptive_avg_pool2d,),), {}
2022-11-23T02:04:38.3385410Z 
2022-11-23T02:04:38.3386167Z [2022-11-23 01:50:17,422] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3386423Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.3386802Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3387027Z               4 BUILD_MAP                0
2022-11-23T02:04:38.3387318Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.3387574Z               8 DICT_MERGE               1
2022-11-23T02:04:38.3387733Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.3387921Z              12 RETURN_VALUE
2022-11-23T02:04:38.3387943Z 
2022-11-23T02:04:38.3388122Z  
2022-11-23T02:04:38.3388960Z [2022-11-23 01:50:17,422] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3389250Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_9)
2022-11-23T02:04:38.3389534Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3389795Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.3389941Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.3390176Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.3390405Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.3390638Z              12 RETURN_VALUE
2022-11-23T02:04:38.3390638Z 
2022-11-23T02:04:38.3390876Z  
2022-11-23T02:04:38.3391346Z [2022-11-23 01:50:17,424] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.3391549Z  - 
2022-11-23T02:04:38.3391811Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.3391908Z             {
2022-11-23T02:04:38.3392360Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.3392826Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.3393152Z                 'obj_weakref': None
2022-11-23T02:04:38.3393823Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.3393997Z             }
2022-11-23T02:04:38.3394149Z             
2022-11-23T02:04:38.3394255Z  - 
2022-11-23T02:04:38.3394632Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.3394811Z             {
2022-11-23T02:04:38.3395147Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.3395393Z                 'code': None,
2022-11-23T02:04:38.3395924Z                 'obj_weakref': <weakref at 0x7fa5500c4630; to 'Tensor' at 0x7fa53c48dda0>
2022-11-23T02:04:38.3396596Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.3396743Z             }
2022-11-23T02:04:38.3396904Z             
2022-11-23T02:04:38.3397107Z  - 
2022-11-23T02:04:38.3397347Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.3397583Z             {
2022-11-23T02:04:38.3397899Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.3398480Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.3398701Z                 'obj_weakref': None
2022-11-23T02:04:38.3399221Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.3399299Z             }
2022-11-23T02:04:38.3399438Z             
2022-11-23T02:04:38.3399542Z  - 
2022-11-23T02:04:38.3399696Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.3399767Z             {
2022-11-23T02:04:38.3399970Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.3400289Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.3400447Z                 'obj_weakref': None
2022-11-23T02:04:38.3400787Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.3400894Z             }
2022-11-23T02:04:38.3400937Z             
2022-11-23T02:04:38.3401062Z  - 
2022-11-23T02:04:38.3401302Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.3401356Z             {
2022-11-23T02:04:38.3401554Z                 'guard_types': None,
2022-11-23T02:04:38.3401655Z                 'code': None,
2022-11-23T02:04:38.3401974Z                 'obj_weakref': None
2022-11-23T02:04:38.3402149Z                 'guarded_class': None
2022-11-23T02:04:38.3402259Z             }
2022-11-23T02:04:38.3402340Z             
2022-11-23T02:04:38.3402891Z [2022-11-23 01:50:17,431] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 9
2022-11-23T02:04:38.3403505Z [2022-11-23 01:50:17,434] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._adaptive_avg_pool2d
2022-11-23T02:04:38.3404358Z [2022-11-23 01:50:17,438] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4s/c4sf74dyl7kpt6x4hawiicof5w4s36wvhwsoqd24mk7oi7ecao3p.py
2022-11-23T02:04:38.3404945Z [2022-11-23 01:50:17,438] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 9
2022-11-23T02:04:38.3405048Z 
2022-11-23T02:04:38.3405275Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.3405524Z import torch
2022-11-23T02:04:38.3405707Z import random
2022-11-23T02:04:38.3406023Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.3406384Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.3406403Z 
2022-11-23T02:04:38.3406594Z aten = torch.ops.aten
2022-11-23T02:04:38.3406888Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.3407096Z async_compile = AsyncCompile()
2022-11-23T02:04:38.3407172Z 
2022-11-23T02:04:38.3407172Z 
2022-11-23T02:04:38.3407462Z async_compile.wait(globals())
2022-11-23T02:04:38.3407698Z del async_compile
2022-11-23T02:04:38.3407729Z 
2022-11-23T02:04:38.3407921Z def call(args):
2022-11-23T02:04:38.3408083Z     arg0_1, = args
2022-11-23T02:04:38.3408293Z     args.clear()
2022-11-23T02:04:38.3408638Z     buf0 = aten._adaptive_avg_pool2d(arg0_1, [4, 4])
2022-11-23T02:04:38.3408855Z     del arg0_1
2022-11-23T02:04:38.3409078Z     buf1 = buf0
2022-11-23T02:04:38.3409298Z     assert_size_stride(buf1, (2, 4, 4, 4), (64, 16, 4, 1))
2022-11-23T02:04:38.3409515Z     del buf0
2022-11-23T02:04:38.3409735Z     return (buf1, )
2022-11-23T02:04:38.3409757Z 
2022-11-23T02:04:38.3409757Z 
2022-11-23T02:04:38.3409955Z if __name__ == "__main__":
2022-11-23T02:04:38.3410244Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.3410564Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.3411175Z     arg0_1 = rand_strided((2, 4, 21, 21), (1764, 441, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3411425Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.3411425Z 
2022-11-23T02:04:38.3411650Z ok (0.041s)
2022-11-23T02:04:38.3412381Z   test_add_const_float_cpu (__main__.CpuTests) ... [2022-11-23 01:50:17,444] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.3413651Z [2022-11-23 01:50:17,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.3414158Z [2022-11-23 01:50:17,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.3414935Z [2022-11-23 01:50:17,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.3415690Z [2022-11-23 01:50:17,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.3416781Z [2022-11-23 01:50:17,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3417635Z [2022-11-23 01:50:17,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3418557Z [2022-11-23 01:50:17,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3419722Z [2022-11-23 01:50:17,445] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641158710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 649> 
2022-11-23T02:04:38.3420039Z  650           0 LOAD_FAST                0 (a)
2022-11-23T02:04:38.3420297Z               2 LOAD_CONST               1 (1.5)
2022-11-23T02:04:38.3420417Z               4 BINARY_ADD
2022-11-23T02:04:38.3420716Z               6 BUILD_TUPLE              1
2022-11-23T02:04:38.3420888Z               8 RETURN_VALUE
2022-11-23T02:04:38.3421039Z  
2022-11-23T02:04:38.3421100Z 
2022-11-23T02:04:38.3421951Z [2022-11-23 01:50:17,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:650
2022-11-23T02:04:38.3422577Z [2022-11-23 01:50:17,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:38.3423195Z [2022-11-23 01:50:17,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.5 [TensorVariable()]
2022-11-23T02:04:38.3423991Z [2022-11-23 01:50:17,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:38.3424577Z [2022-11-23 01:50:17,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.3425267Z [2022-11-23 01:50:17,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.3426205Z [2022-11-23 01:50:17,448] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641158710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 649>
2022-11-23T02:04:38.3426850Z [2022-11-23 01:50:17,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.3427465Z [2022-11-23 01:50:17,448] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.3428042Z [2022-11-23 01:50:17,450] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.3428733Z [2022-11-23 01:50:17,454] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.3429181Z [2022-11-23 01:50:17,454] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.3429518Z  __compiled_fn_10 <eval_with_key>.77 opcode, name, target, args, kwargs
2022-11-23T02:04:38.3429820Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.3430217Z call_function, add, <built-in function add>, (ex_0_, 1.5), {}
2022-11-23T02:04:38.3430510Z output, output, output, ((add,),), {}
2022-11-23T02:04:38.3430541Z 
2022-11-23T02:04:38.3431439Z [2022-11-23 01:50:17,455] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3431612Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.3432076Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3432265Z               4 BUILD_MAP                0
2022-11-23T02:04:38.3432581Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.3432845Z               8 DICT_MERGE               1
2022-11-23T02:04:38.3433034Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.3433214Z              12 RETURN_VALUE
2022-11-23T02:04:38.3433214Z 
2022-11-23T02:04:38.3433410Z  
2022-11-23T02:04:38.3434305Z [2022-11-23 01:50:17,455] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3434593Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_10)
2022-11-23T02:04:38.3434821Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3435032Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.3435238Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.3435518Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.3435689Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.3435931Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.3436336Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.3436502Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.3436792Z              18 BUILD_TUPLE              1
2022-11-23T02:04:38.3436954Z              20 RETURN_VALUE
2022-11-23T02:04:38.3437003Z 
2022-11-23T02:04:38.3437138Z  
2022-11-23T02:04:38.3437547Z [2022-11-23 01:50:17,456] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.3437790Z  - 
2022-11-23T02:04:38.3438158Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.3438297Z             {
2022-11-23T02:04:38.3438608Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.3439058Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.3439376Z                 'obj_weakref': None
2022-11-23T02:04:38.3439975Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.3440118Z             }
2022-11-23T02:04:38.3440248Z             
2022-11-23T02:04:38.3440443Z  - 
2022-11-23T02:04:38.3440805Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.3440997Z             {
2022-11-23T02:04:38.3441339Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.3441619Z                 'code': None,
2022-11-23T02:04:38.3442163Z                 'obj_weakref': <weakref at 0x7fa550056250; to 'Tensor' at 0x7fa53c474ea0>
2022-11-23T02:04:38.3442749Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.3442981Z             }
2022-11-23T02:04:38.3443066Z             
2022-11-23T02:04:38.3443252Z  - 
2022-11-23T02:04:38.3443674Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.3443827Z             {
2022-11-23T02:04:38.3444147Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.3444518Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.3444885Z                 'obj_weakref': None
2022-11-23T02:04:38.3445477Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.3445578Z             }
2022-11-23T02:04:38.3445745Z             
2022-11-23T02:04:38.3445872Z  - 
2022-11-23T02:04:38.3446254Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.3446459Z             {
2022-11-23T02:04:38.3446791Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.3447246Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.3447475Z                 'obj_weakref': None
2022-11-23T02:04:38.3448063Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.3448468Z             }
2022-11-23T02:04:38.3448600Z             
2022-11-23T02:04:38.3449314Z [2022-11-23 01:50:17,463] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 10
2022-11-23T02:04:38.3450203Z [2022-11-23 01:50:20,059] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pg/cpgu7xci3subfbbjfpzswkhbf4onrzvlnvxp2wxqvj472m4xxatm.py
2022-11-23T02:04:38.3450932Z [2022-11-23 01:50:20,060] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 10
2022-11-23T02:04:38.3450937Z 
2022-11-23T02:04:38.3451156Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.3451356Z import torch
2022-11-23T02:04:38.3451557Z import random
2022-11-23T02:04:38.3451919Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.3452232Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.3452232Z 
2022-11-23T02:04:38.3452443Z aten = torch.ops.aten
2022-11-23T02:04:38.3452702Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.3453027Z async_compile = AsyncCompile()
2022-11-23T02:04:38.3453058Z 
2022-11-23T02:04:38.3453092Z 
2022-11-23T02:04:38.3453379Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.3453967Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.3454230Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.3454502Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.3454601Z {
2022-11-23T02:04:38.3454835Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.3454981Z     {
2022-11-23T02:04:38.3455129Z         #pragma omp for 
2022-11-23T02:04:38.3455285Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:38.3455408Z         {
2022-11-23T02:04:38.3455855Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.3456448Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1.5));
2022-11-23T02:04:38.3456648Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.3456965Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.3457119Z         }
2022-11-23T02:04:38.3457276Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.3457494Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T02:04:38.3457684Z         {
2022-11-23T02:04:38.3457871Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.3458106Z             auto tmp1 = static_cast<float>(1.5);
2022-11-23T02:04:38.3458319Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.3458508Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.3458648Z         }
2022-11-23T02:04:38.3458733Z     }
2022-11-23T02:04:38.3458875Z }
2022-11-23T02:04:38.3459150Z ''')
2022-11-23T02:04:38.3459154Z 
2022-11-23T02:04:38.3459154Z 
2022-11-23T02:04:38.3459433Z async_compile.wait(globals())
2022-11-23T02:04:38.3459607Z del async_compile
2022-11-23T02:04:38.3459639Z 
2022-11-23T02:04:38.3459827Z def call(args):
2022-11-23T02:04:38.3459976Z     arg0_1, = args
2022-11-23T02:04:38.3460157Z     args.clear()
2022-11-23T02:04:38.3460649Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3460999Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.3461180Z     del arg0_1
2022-11-23T02:04:38.3461367Z     return (buf0, )
2022-11-23T02:04:38.3461398Z 
2022-11-23T02:04:38.3461433Z 
2022-11-23T02:04:38.3461574Z if __name__ == "__main__":
2022-11-23T02:04:38.3461897Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.3462273Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.3462780Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3463030Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.3463112Z 
2022-11-23T02:04:38.3463256Z ok (2.622s)
2022-11-23T02:04:38.3464075Z   test_add_const_int_cpu (__main__.CpuTests) ... [2022-11-23 01:50:20,066] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.3465372Z [2022-11-23 01:50:20,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.3465932Z [2022-11-23 01:50:20,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.3466653Z [2022-11-23 01:50:20,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.3467400Z [2022-11-23 01:50:20,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.3468267Z [2022-11-23 01:50:20,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3469212Z [2022-11-23 01:50:20,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3470095Z [2022-11-23 01:50:20,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3471252Z [2022-11-23 01:50:20,067] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa6411585b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 643> 
2022-11-23T02:04:38.3471497Z  644           0 LOAD_FAST                0 (a)
2022-11-23T02:04:38.3471711Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:38.3471879Z               4 BINARY_ADD
2022-11-23T02:04:38.3472132Z               6 BUILD_TUPLE              1
2022-11-23T02:04:38.3472294Z               8 RETURN_VALUE
2022-11-23T02:04:38.3472451Z  
2022-11-23T02:04:38.3472519Z 
2022-11-23T02:04:38.3473416Z [2022-11-23 01:50:20,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:644
2022-11-23T02:04:38.3473926Z [2022-11-23 01:50:20,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:38.3474609Z [2022-11-23 01:50:20,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:38.3475335Z [2022-11-23 01:50:20,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.3475984Z [2022-11-23 01:50:20,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.3476640Z [2022-11-23 01:50:20,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.3477672Z [2022-11-23 01:50:20,070] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa6411585b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 643>
2022-11-23T02:04:38.3478336Z [2022-11-23 01:50:20,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.3478971Z [2022-11-23 01:50:20,070] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.3479615Z [2022-11-23 01:50:20,072] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.3480354Z [2022-11-23 01:50:20,076] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.3480855Z [2022-11-23 01:50:20,076] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.3481182Z  __compiled_fn_11 <eval_with_key>.83 opcode, name, target, args, kwargs
2022-11-23T02:04:38.3481435Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.3481884Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:38.3482131Z output, output, output, ((add,),), {}
2022-11-23T02:04:38.3482131Z 
2022-11-23T02:04:38.3483054Z [2022-11-23 01:50:20,077] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3483470Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.3483718Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3483939Z               4 BUILD_MAP                0
2022-11-23T02:04:38.3484207Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.3484464Z               8 DICT_MERGE               1
2022-11-23T02:04:38.3484687Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.3484902Z              12 RETURN_VALUE
2022-11-23T02:04:38.3484935Z 
2022-11-23T02:04:38.3485032Z  
2022-11-23T02:04:38.3485981Z [2022-11-23 01:50:20,077] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3486240Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_11)
2022-11-23T02:04:38.3486474Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3486685Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.3486869Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.3487156Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.3487425Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.3487643Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.3488039Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.3488256Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.3488466Z              18 BUILD_TUPLE              1
2022-11-23T02:04:38.3488655Z              20 RETURN_VALUE
2022-11-23T02:04:38.3488688Z 
2022-11-23T02:04:38.3488813Z  
2022-11-23T02:04:38.3489217Z [2022-11-23 01:50:20,078] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.3489372Z  - 
2022-11-23T02:04:38.3489702Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.3489883Z             {
2022-11-23T02:04:38.3490267Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.3490764Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.3491123Z                 'obj_weakref': None
2022-11-23T02:04:38.3491715Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.3491877Z             }
2022-11-23T02:04:38.3492060Z             
2022-11-23T02:04:38.3492253Z  - 
2022-11-23T02:04:38.3492552Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.3492729Z             {
2022-11-23T02:04:38.3493051Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.3493329Z                 'code': None,
2022-11-23T02:04:38.3493929Z                 'obj_weakref': <weakref at 0x7fa5501e7150; to 'Tensor' at 0x7fa53c48d530>
2022-11-23T02:04:38.3494597Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.3494729Z             }
2022-11-23T02:04:38.3494909Z             
2022-11-23T02:04:38.3495061Z  - 
2022-11-23T02:04:38.3495437Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.3495613Z             {
2022-11-23T02:04:38.3495949Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.3496718Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.3497037Z                 'obj_weakref': None
2022-11-23T02:04:38.3497645Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.3497805Z             }
2022-11-23T02:04:38.3497933Z             
2022-11-23T02:04:38.3498147Z  - 
2022-11-23T02:04:38.3498473Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.3498631Z             {
2022-11-23T02:04:38.3498944Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.3499498Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.3499848Z                 'obj_weakref': None
2022-11-23T02:04:38.3500390Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.3500882Z             }
2022-11-23T02:04:38.3501039Z             
2022-11-23T02:04:38.3501746Z [2022-11-23 01:50:20,086] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 11
2022-11-23T02:04:38.3502751Z [2022-11-23 01:50:22,661] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hu/chuhwuplpj22vodmvq32cvuaqmysgsl57dspln3ekkhxynblmtv6.py
2022-11-23T02:04:38.3503425Z [2022-11-23 01:50:22,661] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 11
2022-11-23T02:04:38.3503502Z 
2022-11-23T02:04:38.3503721Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.3503899Z import torch
2022-11-23T02:04:38.3504066Z import random
2022-11-23T02:04:38.3504418Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.3504729Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.3504733Z 
2022-11-23T02:04:38.3504980Z aten = torch.ops.aten
2022-11-23T02:04:38.3505293Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.3505539Z async_compile = AsyncCompile()
2022-11-23T02:04:38.3505629Z 
2022-11-23T02:04:38.3505645Z 
2022-11-23T02:04:38.3505989Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.3506645Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.3507007Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.3507300Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.3507466Z {
2022-11-23T02:04:38.3507721Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.3507847Z     {
2022-11-23T02:04:38.3508069Z         #pragma omp for 
2022-11-23T02:04:38.3508293Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:38.3508440Z         {
2022-11-23T02:04:38.3508820Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.3509146Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:38.3509427Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.3509678Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.3509863Z         }
2022-11-23T02:04:38.3510038Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.3510293Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T02:04:38.3510697Z         {
2022-11-23T02:04:38.3510972Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.3511213Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:38.3511569Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.3511833Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.3511953Z         }
2022-11-23T02:04:38.3512185Z     }
2022-11-23T02:04:38.3512822Z }
2022-11-23T02:04:38.3513147Z ''')
2022-11-23T02:04:38.3513167Z 
2022-11-23T02:04:38.3513216Z 
2022-11-23T02:04:38.3513508Z async_compile.wait(globals())
2022-11-23T02:04:38.3513743Z del async_compile
2022-11-23T02:04:38.3513817Z 
2022-11-23T02:04:38.3514035Z def call(args):
2022-11-23T02:04:38.3514417Z     arg0_1, = args
2022-11-23T02:04:38.3514573Z     args.clear()
2022-11-23T02:04:38.3515284Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3515738Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.3515983Z     del arg0_1
2022-11-23T02:04:38.3516188Z     return (buf0, )
2022-11-23T02:04:38.3516188Z 
2022-11-23T02:04:38.3516226Z 
2022-11-23T02:04:38.3516501Z if __name__ == "__main__":
2022-11-23T02:04:38.3516867Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.3517285Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.3517708Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3518104Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.3518104Z 
2022-11-23T02:04:38.3518318Z ok (2.601s)
2022-11-23T02:04:38.3519283Z   test_add_inplace_permuted_cpu (__main__.CpuTests) ... [2022-11-23 01:50:22,670] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.3520391Z [2022-11-23 01:50:22,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.3521015Z [2022-11-23 01:50:22,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.3521767Z [2022-11-23 01:50:22,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.3522619Z [2022-11-23 01:50:22,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.3523567Z [2022-11-23 01:50:22,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3524768Z [2022-11-23 01:50:22,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3525622Z [2022-11-23 01:50:22,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3526854Z [2022-11-23 01:50:22,671] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641158870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 655> 
2022-11-23T02:04:38.3527210Z  656           0 LOAD_FAST                0 (x)
2022-11-23T02:04:38.3527488Z               2 LOAD_METHOD              0 (add_)
2022-11-23T02:04:38.3527813Z               4 LOAD_FAST                1 (y)
2022-11-23T02:04:38.3528080Z               6 CALL_METHOD              1
2022-11-23T02:04:38.3528408Z               8 RETURN_VALUE
2022-11-23T02:04:38.3528612Z  
2022-11-23T02:04:38.3528616Z 
2022-11-23T02:04:38.3529583Z [2022-11-23 01:50:22,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:656
2022-11-23T02:04:38.3530085Z [2022-11-23 01:50:22,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:38.3530839Z [2022-11-23 01:50:22,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T02:04:38.3531734Z [2022-11-23 01:50:22,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T02:04:38.3532634Z [2022-11-23 01:50:22,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T02:04:38.3533347Z [2022-11-23 01:50:22,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.3534408Z [2022-11-23 01:50:22,673] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641158870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 655>
2022-11-23T02:04:38.3535113Z [2022-11-23 01:50:22,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.3535828Z [2022-11-23 01:50:22,673] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.3536918Z [2022-11-23 01:50:22,675] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.3537762Z [2022-11-23 01:50:22,679] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T02:04:38.3538443Z [2022-11-23 01:50:22,679] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T02:04:38.3539147Z [2022-11-23 01:50:22,679] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.3539728Z [2022-11-23 01:50:22,679] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.3540112Z  __compiled_fn_12 <eval_with_key>.86 opcode, name, target, args, kwargs
2022-11-23T02:04:38.3540666Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.3541044Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.3541320Z call_method, add_, add_, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.3541659Z output, output, output, ((add_,),), {}
2022-11-23T02:04:38.3541692Z 
2022-11-23T02:04:38.3542726Z [2022-11-23 01:50:22,680] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3542911Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.3543248Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3543544Z               4 BUILD_MAP                0
2022-11-23T02:04:38.3543810Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.3544084Z               8 DICT_MERGE               1
2022-11-23T02:04:38.3544432Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.3544655Z              12 RETURN_VALUE
2022-11-23T02:04:38.3544699Z 
2022-11-23T02:04:38.3544860Z  
2022-11-23T02:04:38.3546365Z [2022-11-23 01:50:22,680] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3546741Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_12)
2022-11-23T02:04:38.3547274Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3547534Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.3547761Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.3548088Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3548419Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.3548587Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.3548991Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.3549318Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.3549553Z              18 RETURN_VALUE
2022-11-23T02:04:38.3549558Z 
2022-11-23T02:04:38.3549762Z  
2022-11-23T02:04:38.3550345Z [2022-11-23 01:50:22,681] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.3550630Z  - 
2022-11-23T02:04:38.3550921Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.3551076Z             {
2022-11-23T02:04:38.3551513Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.3552149Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.3552499Z                 'obj_weakref': None
2022-11-23T02:04:38.3553195Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.3553366Z             }
2022-11-23T02:04:38.3553522Z             
2022-11-23T02:04:38.3553767Z  - 
2022-11-23T02:04:38.3554171Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.3554402Z             {
2022-11-23T02:04:38.3554927Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.3555248Z                 'code': None,
2022-11-23T02:04:38.3555902Z                 'obj_weakref': <weakref at 0x7fa5501e47c0; to 'Tensor' at 0x7fa53c396d40>
2022-11-23T02:04:38.3556588Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.3556789Z             }
2022-11-23T02:04:38.3556960Z             
2022-11-23T02:04:38.3557209Z  - 
2022-11-23T02:04:38.3557634Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.3557824Z             {
2022-11-23T02:04:38.3558270Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.3558459Z                 'code': None,
2022-11-23T02:04:38.3559136Z                 'obj_weakref': <weakref at 0x7fa5501e45e0; to 'Tensor' at 0x7fa53c396c50>
2022-11-23T02:04:38.3559988Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.3560168Z             }
2022-11-23T02:04:38.3560431Z             
2022-11-23T02:04:38.3560701Z  - 
2022-11-23T02:04:38.3561070Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.3561354Z             {
2022-11-23T02:04:38.3561801Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.3562321Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.3562649Z                 'obj_weakref': None
2022-11-23T02:04:38.3563311Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.3563614Z             }
2022-11-23T02:04:38.3563790Z             
2022-11-23T02:04:38.3564136Z  - 
2022-11-23T02:04:38.3564417Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.3564622Z             {
2022-11-23T02:04:38.3565072Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.3565677Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.3566037Z                 'obj_weakref': None
2022-11-23T02:04:38.3566694Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.3566911Z             }
2022-11-23T02:04:38.3567022Z             
2022-11-23T02:04:38.3567941Z [2022-11-23 01:50:22,682] torch._dynamo.eval_frame: [DEBUG] skipping _call_impl /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py
2022-11-23T02:04:38.3568820Z [2022-11-23 01:50:22,682] torch._dynamo.eval_frame: [DEBUG] skipping forward /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T02:04:38.3569748Z [2022-11-23 01:50:22,682] torch._dynamo.eval_frame: [DEBUG] skipping __getattr__ /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T02:04:38.3570531Z [2022-11-23 01:50:22,682] torch._dynamo.eval_frame: [DEBUG] skipping __call__ /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T02:04:38.3571287Z [2022-11-23 01:50:22,682] torch._dynamo.eval_frame: [DEBUG] skipping innermost_fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T02:04:38.3571879Z [2022-11-23 01:50:22,682] torch._dynamo.eval_frame: [DEBUG] skipping wraps /opt/conda/lib/python3.10/functools.py
2022-11-23T02:04:38.3572727Z [2022-11-23 01:50:22,682] torch._dynamo.eval_frame: [DEBUG] skipping update_wrapper /opt/conda/lib/python3.10/functools.py
2022-11-23T02:04:38.3572999Z ok (0.020s)
2022-11-23T02:04:38.3573725Z   test_addmm_cpu (__main__.CpuTests) ... [2022-11-23 01:50:22,689] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.3574574Z [2022-11-23 01:50:22,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.3575251Z [2022-11-23 01:50:22,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.3576497Z [2022-11-23 01:50:22,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.3577353Z [2022-11-23 01:50:22,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.3578194Z [2022-11-23 01:50:22,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3579202Z [2022-11-23 01:50:22,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3580050Z [2022-11-23 01:50:22,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3581075Z [2022-11-23 01:50:22,691] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641132550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1333> 
2022-11-23T02:04:38.3581372Z  1334           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.3581697Z                2 LOAD_METHOD              1 (addmm)
2022-11-23T02:04:38.3581904Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.3582644Z                6 LOAD_CONST               1 (1)
2022-11-23T02:04:38.3582880Z                8 BINARY_ADD
2022-11-23T02:04:38.3583204Z               10 LOAD_FAST                1 (b)
2022-11-23T02:04:38.3583498Z               12 LOAD_CONST               2 (2)
2022-11-23T02:04:38.3583758Z               14 BINARY_ADD
2022-11-23T02:04:38.3584738Z               16 LOAD_FAST                2 (c)
2022-11-23T02:04:38.3584952Z               18 LOAD_CONST               3 (3)
2022-11-23T02:04:38.3585145Z               20 BINARY_ADD
2022-11-23T02:04:38.3585433Z               22 CALL_METHOD              3
2022-11-23T02:04:38.3585758Z               24 LOAD_CONST               4 (4)
2022-11-23T02:04:38.3586002Z               26 BINARY_ADD
2022-11-23T02:04:38.3586303Z               28 BUILD_TUPLE              1
2022-11-23T02:04:38.3586556Z               30 RETURN_VALUE
2022-11-23T02:04:38.3586739Z  
2022-11-23T02:04:38.3586764Z 
2022-11-23T02:04:38.3587676Z [2022-11-23 01:50:22,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1334
2022-11-23T02:04:38.3588257Z [2022-11-23 01:50:22,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.3589461Z [2022-11-23 01:50:22,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR addmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.3590468Z [2022-11-23 01:50:22,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method addmm of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.3591324Z [2022-11-23 01:50:22,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method addmm of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.3592416Z [2022-11-23 01:50:22,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.3593346Z [2022-11-23 01:50:22,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method addmm of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.3594340Z [2022-11-23 01:50:22,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method addmm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.3595534Z [2022-11-23 01:50:22,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.3596476Z [2022-11-23 01:50:22,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method addmm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.3597582Z [2022-11-23 01:50:22,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method addmm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.3598718Z [2022-11-23 01:50:22,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.3599773Z [2022-11-23 01:50:22,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method addmm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.3600406Z [2022-11-23 01:50:22,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable()]
2022-11-23T02:04:38.3601103Z [2022-11-23 01:50:22,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.3601741Z [2022-11-23 01:50:22,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.3602545Z [2022-11-23 01:50:22,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.3603651Z [2022-11-23 01:50:22,704] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641132550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1333>
2022-11-23T02:04:38.3604370Z [2022-11-23 01:50:22,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.3605126Z [2022-11-23 01:50:22,704] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.3607432Z [2022-11-23 01:50:22,706] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.3608126Z [2022-11-23 01:50:22,716] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.3608491Z [2022-11-23 01:50:22,717] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.3608792Z  __compiled_fn_13 <eval_with_key>.92 opcode, name, target, args, kwargs
2022-11-23T02:04:38.3609054Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.3630669Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.3631308Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:38.3631793Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:38.3632074Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T02:04:38.3632428Z call_function, add_2, <built-in function add>, (ex_2_, 3), {}
2022-11-23T02:04:38.3632769Z call_function, addmm, <built-in method addmm of type object at 0x7fa5855aec60>, (add, add_1, add_2), {}
2022-11-23T02:04:38.3633058Z call_function, add_3, <built-in function add>, (addmm, 4), {}
2022-11-23T02:04:38.3633240Z output, output, output, ((add_3,),), {}
2022-11-23T02:04:38.3633266Z 
2022-11-23T02:04:38.3633775Z [2022-11-23 01:50:22,718] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3633976Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.3634148Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3634433Z               4 BUILD_MAP                0
2022-11-23T02:04:38.3634609Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.3634718Z               8 DICT_MERGE               1
2022-11-23T02:04:38.3634936Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.3635090Z              12 RETURN_VALUE
2022-11-23T02:04:38.3635110Z 
2022-11-23T02:04:38.3635250Z  
2022-11-23T02:04:38.3635733Z [2022-11-23 01:50:22,718] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3635925Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_13)
2022-11-23T02:04:38.3636100Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3636276Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.3636377Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.3636546Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3636757Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.3636925Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.3637092Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3637260Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:38.3637412Z              18 BINARY_SUBSCR
2022-11-23T02:04:38.3637525Z              20 CALL_FUNCTION            3
2022-11-23T02:04:38.3637714Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.3637955Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.3638123Z              26 LOAD_CONST               1 (0)
2022-11-23T02:04:38.3638322Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.3638495Z              30 BUILD_TUPLE              1
2022-11-23T02:04:38.3638830Z              32 RETURN_VALUE
2022-11-23T02:04:38.3638850Z 
2022-11-23T02:04:38.3638924Z  
2022-11-23T02:04:38.3639230Z [2022-11-23 01:50:22,719] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.3639375Z  - 
2022-11-23T02:04:38.3639584Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.3639733Z             {
2022-11-23T02:04:38.3639973Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.3640308Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:38.3640469Z                 'obj_weakref': None
2022-11-23T02:04:38.3640819Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.3640950Z             }
2022-11-23T02:04:38.3641084Z             
2022-11-23T02:04:38.3641225Z  - 
2022-11-23T02:04:38.3641508Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.3641643Z             {
2022-11-23T02:04:38.3641829Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.3642025Z                 'code': None,
2022-11-23T02:04:38.3642396Z                 'obj_weakref': <weakref at 0x7fa5501b7ec0; to 'Tensor' at 0x7fa53c524f40>
2022-11-23T02:04:38.3642850Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.3642992Z             }
2022-11-23T02:04:38.3643123Z             
2022-11-23T02:04:38.3643277Z  - 
2022-11-23T02:04:38.3643439Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.3643576Z             {
2022-11-23T02:04:38.3643810Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.3644007Z                 'code': None,
2022-11-23T02:04:38.3644423Z                 'obj_weakref': <weakref at 0x7fa5501b78d0; to 'Tensor' at 0x7fa53c395670>
2022-11-23T02:04:38.3644809Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.3644942Z             }
2022-11-23T02:04:38.3645093Z             
2022-11-23T02:04:38.3645183Z  - 
2022-11-23T02:04:38.3645448Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:38.3645583Z             {
2022-11-23T02:04:38.3645823Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.3646017Z                 'code': None,
2022-11-23T02:04:38.3646381Z                 'obj_weakref': <weakref at 0x7fa5501b74c0; to 'Tensor' at 0x7fa53c396c50>
2022-11-23T02:04:38.3646768Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.3646848Z             }
2022-11-23T02:04:38.3646991Z             
2022-11-23T02:04:38.3647134Z  - 
2022-11-23T02:04:38.3647357Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.3647492Z             {
2022-11-23T02:04:38.3647721Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.3647939Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.3648153Z                 'obj_weakref': None
2022-11-23T02:04:38.3648544Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.3648692Z             }
2022-11-23T02:04:38.3648825Z             
2022-11-23T02:04:38.3649015Z  - 
2022-11-23T02:04:38.3649236Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.3649315Z             {
2022-11-23T02:04:38.3649547Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.3649873Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.3650081Z                 'obj_weakref': None
2022-11-23T02:04:38.3650466Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.3650600Z             }
2022-11-23T02:04:38.3650735Z             
2022-11-23T02:04:38.3650831Z  - 
2022-11-23T02:04:38.3651121Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.3651256Z             {
2022-11-23T02:04:38.3651555Z                 'guard_types': None,
2022-11-23T02:04:38.3651758Z                 'code': None,
2022-11-23T02:04:38.3651964Z                 'obj_weakref': None
2022-11-23T02:04:38.3652214Z                 'guarded_class': None
2022-11-23T02:04:38.3652295Z             }
2022-11-23T02:04:38.3652429Z             
2022-11-23T02:04:38.3652883Z [2022-11-23 01:50:22,736] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 12
2022-11-23T02:04:38.3653419Z [2022-11-23 01:50:25,434] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a3/ca32y4dy7finkzo25lik5a2uxw7wnj2yusjvuoifqtane2bs7kt5.py
2022-11-23T02:04:38.3653817Z [2022-11-23 01:50:25,435] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 12
2022-11-23T02:04:38.3653844Z 
2022-11-23T02:04:38.3654029Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.3654173Z import torch
2022-11-23T02:04:38.3654315Z import random
2022-11-23T02:04:38.3654462Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.3654721Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.3654742Z 
2022-11-23T02:04:38.3654897Z aten = torch.ops.aten
2022-11-23T02:04:38.3655128Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.3655365Z async_compile = AsyncCompile()
2022-11-23T02:04:38.3655388Z 
2022-11-23T02:04:38.3655407Z 
2022-11-23T02:04:38.3655670Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.3655994Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.3656785Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.3657013Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.3657405Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:38.3657851Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.3658203Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:38.3658455Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:38.3658598Z {
2022-11-23T02:04:38.3658785Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.3658862Z     {
2022-11-23T02:04:38.3659019Z         #pragma omp for 
2022-11-23T02:04:38.3659187Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.3659320Z         {
2022-11-23T02:04:38.3659642Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.3659871Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:38.3660046Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.3660217Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.3660296Z         }
2022-11-23T02:04:38.3660474Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.3660638Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:38.3660772Z         {
2022-11-23T02:04:38.3660938Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.3661164Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:38.3661274Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.3661499Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.3661629Z         }
2022-11-23T02:04:38.3661787Z         #pragma omp for 
2022-11-23T02:04:38.3661952Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.3662085Z         {
2022-11-23T02:04:38.3662315Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:38.3662541Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:38.3662651Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.3662864Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T02:04:38.3662997Z         }
2022-11-23T02:04:38.3663175Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.3663335Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:38.3663472Z         {
2022-11-23T02:04:38.3663580Z             auto tmp0 = in_ptr1[i0];
2022-11-23T02:04:38.3663977Z             auto tmp1 = static_cast<float>(2);
2022-11-23T02:04:38.3664153Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.3664313Z             out_ptr1[i0] = tmp2;
2022-11-23T02:04:38.3664533Z         }
2022-11-23T02:04:38.3664700Z         #pragma omp for 
2022-11-23T02:04:38.3664862Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.3664940Z         {
2022-11-23T02:04:38.3665167Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T02:04:38.3665393Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T02:04:38.3665568Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.3665740Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T02:04:38.3665873Z         }
2022-11-23T02:04:38.3666086Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.3666247Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:38.3666326Z         {
2022-11-23T02:04:38.3666488Z             auto tmp0 = in_ptr2[i0];
2022-11-23T02:04:38.3666681Z             auto tmp1 = static_cast<float>(3);
2022-11-23T02:04:38.3666854Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.3667014Z             out_ptr2[i0] = tmp2;
2022-11-23T02:04:38.3667145Z         }
2022-11-23T02:04:38.3667222Z     }
2022-11-23T02:04:38.3667402Z }
2022-11-23T02:04:38.3667756Z ''')
2022-11-23T02:04:38.3667781Z 
2022-11-23T02:04:38.3667800Z 
2022-11-23T02:04:38.3668059Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T02:04:38.3668391Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.3668605Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T02:04:38.3668732Z {
2022-11-23T02:04:38.3668909Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.3668986Z     {
2022-11-23T02:04:38.3669141Z         #pragma omp for 
2022-11-23T02:04:38.3669296Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.3669469Z         {
2022-11-23T02:04:38.3669716Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T02:04:38.3669960Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(4));
2022-11-23T02:04:38.3670123Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.3670245Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:38.3670382Z         }
2022-11-23T02:04:38.3670558Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.3670767Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:38.3670898Z         {
2022-11-23T02:04:38.3671101Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T02:04:38.3671294Z             auto tmp1 = static_cast<float>(4);
2022-11-23T02:04:38.3671401Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.3671561Z             in_out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.3671693Z         }
2022-11-23T02:04:38.3671825Z     }
2022-11-23T02:04:38.3671961Z }
2022-11-23T02:04:38.3672125Z ''')
2022-11-23T02:04:38.3672145Z 
2022-11-23T02:04:38.3672164Z 
2022-11-23T02:04:38.3672331Z async_compile.wait(globals())
2022-11-23T02:04:38.3672430Z del async_compile
2022-11-23T02:04:38.3672449Z 
2022-11-23T02:04:38.3672648Z def call(args):
2022-11-23T02:04:38.3672810Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:38.3672955Z     args.clear()
2022-11-23T02:04:38.3673285Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3673594Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3673899Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3674208Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:38.3674407Z     del arg0_1
2022-11-23T02:04:38.3674554Z     del arg1_1
2022-11-23T02:04:38.3674736Z     del arg2_1
2022-11-23T02:04:38.3675045Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3675337Z     aten.addmm.out(buf0, buf1, buf2, beta=1, alpha=1, out=buf3)
2022-11-23T02:04:38.3675479Z     del buf0
2022-11-23T02:04:38.3675617Z     del buf1
2022-11-23T02:04:38.3675699Z     del buf2
2022-11-23T02:04:38.3675874Z     buf4 = buf3; del buf3  # reuse
2022-11-23T02:04:38.3676066Z     kernel_cpp_1(c_void_p(buf4.data_ptr()))
2022-11-23T02:04:38.3676216Z     return (buf4, )
2022-11-23T02:04:38.3676236Z 
2022-11-23T02:04:38.3676255Z 
2022-11-23T02:04:38.3676447Z if __name__ == "__main__":
2022-11-23T02:04:38.3676653Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.3676864Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.3677132Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3677438Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3677746Z     arg2_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3678015Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:38.3678035Z 
2022-11-23T02:04:38.3678174Z ok (2.753s)
2022-11-23T02:04:38.3678711Z   test_alexnet_prefix_cpu (__main__.CpuTests) ... [2022-11-23 01:50:25,525] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.3679251Z [2022-11-23 01:50:25,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.3679596Z [2022-11-23 01:50:25,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.3679979Z [2022-11-23 01:50:25,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.3680339Z [2022-11-23 01:50:25,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.3680822Z [2022-11-23 01:50:25,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3681328Z [2022-11-23 01:50:25,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3681816Z [2022-11-23 01:50:25,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3682377Z [2022-11-23 01:50:25,526] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fa640fba4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2077> 
2022-11-23T02:04:38.3682556Z  2078           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.3682777Z                2 LOAD_ATTR                1 (ops)
2022-11-23T02:04:38.3682955Z                4 LOAD_ATTR                2 (aten)
2022-11-23T02:04:38.3683153Z                6 LOAD_METHOD              3 (convolution)
2022-11-23T02:04:38.3683181Z 
2022-11-23T02:04:38.3683296Z 2079           8 LOAD_FAST                2 (arg16)
2022-11-23T02:04:38.3683475Z               10 LOAD_FAST                1 (arg7)
2022-11-23T02:04:38.3683693Z               12 LOAD_FAST                0 (arg6)
2022-11-23T02:04:38.3683874Z               14 LOAD_CONST               1 (4)
2022-11-23T02:04:38.3684048Z               16 LOAD_CONST               1 (4)
2022-11-23T02:04:38.3684333Z               18 BUILD_LIST               2
2022-11-23T02:04:38.3684543Z               20 LOAD_CONST               2 (2)
2022-11-23T02:04:38.3684722Z               22 LOAD_CONST               2 (2)
2022-11-23T02:04:38.3684831Z               24 BUILD_LIST               2
2022-11-23T02:04:38.3684991Z               26 LOAD_CONST               3 (1)
2022-11-23T02:04:38.3685151Z               28 LOAD_CONST               3 (1)
2022-11-23T02:04:38.3685314Z               30 BUILD_LIST               2
2022-11-23T02:04:38.3685486Z               32 LOAD_CONST               4 (False)
2022-11-23T02:04:38.3685741Z               34 LOAD_CONST               5 (0)
2022-11-23T02:04:38.3685918Z               36 LOAD_CONST               5 (0)
2022-11-23T02:04:38.3686027Z               38 BUILD_LIST               2
2022-11-23T02:04:38.3686226Z               40 LOAD_CONST               3 (1)
2022-11-23T02:04:38.3686252Z 
2022-11-23T02:04:38.3686423Z 2078          42 CALL_METHOD              9
2022-11-23T02:04:38.3686608Z               44 STORE_FAST               3 (convolution)
2022-11-23T02:04:38.3686628Z 
2022-11-23T02:04:38.3686854Z 2081          46 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.3687027Z               48 LOAD_ATTR                1 (ops)
2022-11-23T02:04:38.3687200Z               50 LOAD_ATTR                2 (aten)
2022-11-23T02:04:38.3687385Z               52 LOAD_METHOD              4 (relu)
2022-11-23T02:04:38.3687513Z               54 LOAD_FAST                3 (convolution)
2022-11-23T02:04:38.3687674Z               56 CALL_METHOD              1
2022-11-23T02:04:38.3687887Z               58 STORE_FAST               4 (relu)
2022-11-23T02:04:38.3687907Z 
2022-11-23T02:04:38.3688081Z 2082          60 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.3688250Z               62 LOAD_ATTR                1 (ops)
2022-11-23T02:04:38.3688491Z               64 LOAD_ATTR                2 (aten)
2022-11-23T02:04:38.3688703Z               66 LOAD_METHOD              5 (max_pool2d_with_indices)
2022-11-23T02:04:38.3688724Z 
2022-11-23T02:04:38.3688897Z 2083          68 LOAD_FAST                4 (relu)
2022-11-23T02:04:38.3689012Z               70 LOAD_CONST               6 (3)
2022-11-23T02:04:38.3689187Z               72 LOAD_CONST               6 (3)
2022-11-23T02:04:38.3689353Z               74 BUILD_LIST               2
2022-11-23T02:04:38.3689559Z               76 LOAD_CONST               2 (2)
2022-11-23T02:04:38.3689726Z               78 LOAD_CONST               2 (2)
2022-11-23T02:04:38.3689958Z               80 BUILD_LIST               2
2022-11-23T02:04:38.3689978Z 
2022-11-23T02:04:38.3690148Z 2082          82 CALL_METHOD              3
2022-11-23T02:04:38.3690299Z               84 STORE_FAST               5 (max_pool2d_with_indices)
2022-11-23T02:04:38.3690384Z 
2022-11-23T02:04:38.3690530Z 2085          86 LOAD_FAST                5 (max_pool2d_with_indices)
2022-11-23T02:04:38.3690702Z               88 LOAD_CONST               5 (0)
2022-11-23T02:04:38.3690863Z               90 BINARY_SUBSCR
2022-11-23T02:04:38.3691037Z               92 STORE_FAST               6 (getitem)
2022-11-23T02:04:38.3691056Z 
2022-11-23T02:04:38.3691262Z 2086          94 LOAD_FAST                6 (getitem)
2022-11-23T02:04:38.3691439Z               96 BUILD_TUPLE              1
2022-11-23T02:04:38.3691595Z               98 RETURN_VALUE
2022-11-23T02:04:38.3691670Z  
2022-11-23T02:04:38.3691689Z 
2022-11-23T02:04:38.3692223Z [2022-11-23 01:50:25,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2078
2022-11-23T02:04:38.3692574Z [2022-11-23 01:50:25,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.3693113Z [2022-11-23 01:50:25,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.3693547Z [2022-11-23 01:50:25,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:38.3694011Z [2022-11-23 01:50:25,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.3694516Z [2022-11-23 01:50:25,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2079
2022-11-23T02:04:38.3694977Z [2022-11-23 01:50:25,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg16 [TorchVariable(aten.convolution)]
2022-11-23T02:04:38.3695431Z [2022-11-23 01:50:25,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg7 [TorchVariable(aten.convolution), TensorVariable()]
2022-11-23T02:04:38.3695986Z [2022-11-23 01:50:25,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg6 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.3697194Z [2022-11-23 01:50:25,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.3697708Z [2022-11-23 01:50:25,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.3698311Z [2022-11-23 01:50:25,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.3698848Z [2022-11-23 01:50:25,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.3699603Z [2022-11-23 01:50:25,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.3700347Z [2022-11-23 01:50:25,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.3700929Z [2022-11-23 01:50:25,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.3701541Z [2022-11-23 01:50:25,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.3702211Z [2022-11-23 01:50:25,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.3702822Z [2022-11-23 01:50:25,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.3703478Z [2022-11-23 01:50:25,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:38.3704178Z [2022-11-23 01:50:25,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T02:04:38.3704947Z [2022-11-23 01:50:25,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.3705726Z [2022-11-23 01:50:25,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T02:04:38.3706205Z [2022-11-23 01:50:25,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2078
2022-11-23T02:04:38.3707073Z [2022-11-23 01:50:25,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 9 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.3707464Z [2022-11-23 01:50:25,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convolution [TensorVariable()]
2022-11-23T02:04:38.3707931Z [2022-11-23 01:50:25,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2081
2022-11-23T02:04:38.3708214Z [2022-11-23 01:50:25,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.3708771Z [2022-11-23 01:50:25,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.3709212Z [2022-11-23 01:50:25,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:38.3709719Z [2022-11-23 01:50:25,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.3710185Z [2022-11-23 01:50:25,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convolution [TorchVariable(aten.relu)]
2022-11-23T02:04:38.3710618Z [2022-11-23 01:50:25,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.relu), TensorVariable()]
2022-11-23T02:04:38.3710988Z [2022-11-23 01:50:25,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST relu [TensorVariable()]
2022-11-23T02:04:38.3711451Z [2022-11-23 01:50:25,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2082
2022-11-23T02:04:38.3711846Z [2022-11-23 01:50:25,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.3712389Z [2022-11-23 01:50:25,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.3712889Z [2022-11-23 01:50:25,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:38.3713337Z [2022-11-23 01:50:25,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.3713797Z [2022-11-23 01:50:25,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2083
2022-11-23T02:04:38.3714268Z [2022-11-23 01:50:25,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST relu [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T02:04:38.3714729Z [2022-11-23 01:50:25,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T02:04:38.3715242Z [2022-11-23 01:50:25,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.3715809Z [2022-11-23 01:50:25,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.3716291Z [2022-11-23 01:50:25,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.3716818Z [2022-11-23 01:50:25,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.3717402Z [2022-11-23 01:50:25,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.3717946Z [2022-11-23 01:50:25,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2082
2022-11-23T02:04:38.3718519Z [2022-11-23 01:50:25,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.3718952Z [2022-11-23 01:50:25,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST max_pool2d_with_indices [TupleVariable()]
2022-11-23T02:04:38.3719351Z [2022-11-23 01:50:25,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2085
2022-11-23T02:04:38.3719727Z [2022-11-23 01:50:25,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_pool2d_with_indices []
2022-11-23T02:04:38.3720101Z [2022-11-23 01:50:25,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T02:04:38.3720541Z [2022-11-23 01:50:25,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.3721044Z [2022-11-23 01:50:25,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST getitem [TensorVariable()]
2022-11-23T02:04:38.3721520Z [2022-11-23 01:50:25,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2086
2022-11-23T02:04:38.3721865Z [2022-11-23 01:50:25,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST getitem []
2022-11-23T02:04:38.3722293Z [2022-11-23 01:50:25,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.3722676Z [2022-11-23 01:50:25,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.3723244Z [2022-11-23 01:50:25,568] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fa640fba4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2077>
2022-11-23T02:04:38.3723565Z [2022-11-23 01:50:25,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.3723927Z [2022-11-23 01:50:25,568] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.3724313Z [2022-11-23 01:50:25,570] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.3724691Z [2022-11-23 01:50:25,581] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.3935966Z [2022-11-23 01:50:25,581] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.3937146Z  __compiled_fn_14 <eval_with_key>.98 opcode, name, target, args, kwargs
2022-11-23T02:04:38.3937374Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.3937636Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.3937852Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:38.3938204Z call_function, convolution, aten.convolution, (ex_2_, ex_1_, ex_0_, [4, 4], [2, 2], [1, 1], False, [0, 0], 1), {}
2022-11-23T02:04:38.3938396Z call_function, relu, aten.relu, (convolution,), {}
2022-11-23T02:04:38.3938627Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (relu, [3, 3], [2, 2]), {}
2022-11-23T02:04:38.3939117Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T02:04:38.3939274Z output, output, output, ((getitem,),), {}
2022-11-23T02:04:38.3939300Z 
2022-11-23T02:04:38.3939763Z [2022-11-23 01:50:25,582] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3939906Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.3940043Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3940675Z               4 BUILD_MAP                0
2022-11-23T02:04:38.3940794Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.3940926Z               8 DICT_MERGE               1
2022-11-23T02:04:38.3941070Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.3941189Z              12 RETURN_VALUE
2022-11-23T02:04:38.3941209Z 
2022-11-23T02:04:38.3941311Z  
2022-11-23T02:04:38.3941762Z [2022-11-23 01:50:25,582] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.3941921Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_14)
2022-11-23T02:04:38.3942034Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3942176Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.3942299Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.3942431Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3942567Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.3942682Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.3942814Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.3942922Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:38.3943149Z              18 BINARY_SUBSCR
2022-11-23T02:04:38.3943293Z              20 CALL_FUNCTION            3
2022-11-23T02:04:38.3943449Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.3943605Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.3943737Z              26 LOAD_CONST               1 (0)
2022-11-23T02:04:38.3943854Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.3943986Z              30 BUILD_TUPLE              1
2022-11-23T02:04:38.3944080Z              32 RETURN_VALUE
2022-11-23T02:04:38.3944100Z 
2022-11-23T02:04:38.3944197Z  
2022-11-23T02:04:38.3944470Z [2022-11-23 01:50:25,584] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.3944590Z  - 
2022-11-23T02:04:38.3944771Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.3944877Z             {
2022-11-23T02:04:38.3945078Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.3945327Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:38.3945503Z                 'obj_weakref': None
2022-11-23T02:04:38.3945818Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.3945922Z             }
2022-11-23T02:04:38.3946028Z             
2022-11-23T02:04:38.3946138Z  - 
2022-11-23T02:04:38.3946319Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.3946396Z             {
2022-11-23T02:04:38.3946600Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.3946762Z                 'code': None,
2022-11-23T02:04:38.3947057Z                 'obj_weakref': <weakref at 0x7fa5501b4400; to 'Tensor' at 0x7fa53c4fdc10>
2022-11-23T02:04:38.3947400Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.3947505Z             }
2022-11-23T02:04:38.3947603Z             
2022-11-23T02:04:38.3947691Z  - 
2022-11-23T02:04:38.3947876Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.3947978Z             {
2022-11-23T02:04:38.3948182Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.3948339Z                 'code': None,
2022-11-23T02:04:38.3948629Z                 'obj_weakref': <weakref at 0x7fa5501e4c70; to 'Tensor' at 0x7fa53c376de0>
2022-11-23T02:04:38.3948973Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.3949051Z             }
2022-11-23T02:04:38.3949150Z             
2022-11-23T02:04:38.3949260Z  - 
2022-11-23T02:04:38.3949447Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:38.3949551Z             {
2022-11-23T02:04:38.3949757Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.3950015Z                 'code': None,
2022-11-23T02:04:38.3950277Z                 'obj_weakref': <weakref at 0x7fa5501e4680; to 'Tensor' at 0x7fa53c395670>
2022-11-23T02:04:38.3950626Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.3950736Z             }
2022-11-23T02:04:38.3950837Z             
2022-11-23T02:04:38.3950949Z  - 
2022-11-23T02:04:38.3951138Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.3951239Z             {
2022-11-23T02:04:38.3951409Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.3951653Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.3951830Z                 'obj_weakref': None
2022-11-23T02:04:38.3952148Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.3952253Z             }
2022-11-23T02:04:38.3952359Z             
2022-11-23T02:04:38.3952476Z  - 
2022-11-23T02:04:38.3952629Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.3952731Z             {
2022-11-23T02:04:38.3952926Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.3953301Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.3953481Z                 'obj_weakref': None
2022-11-23T02:04:38.3953790Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.3953899Z             }
2022-11-23T02:04:38.3953981Z             
2022-11-23T02:04:38.3954093Z  - 
2022-11-23T02:04:38.3954281Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.3954381Z             {
2022-11-23T02:04:38.3954557Z                 'guard_types': None,
2022-11-23T02:04:38.3954711Z                 'code': None,
2022-11-23T02:04:38.3954942Z                 'obj_weakref': None
2022-11-23T02:04:38.3955095Z                 'guarded_class': None
2022-11-23T02:04:38.3955200Z             }
2022-11-23T02:04:38.3955296Z             
2022-11-23T02:04:38.3955656Z [2022-11-23 01:50:25,600] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 13
2022-11-23T02:04:38.3955958Z [2022-11-23 01:50:25,721] torch._inductor.scheduler: [DEBUG] removed dead node: buf2
2022-11-23T02:04:38.3956454Z [2022-11-23 01:50:28,407] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5j/c5j5zrnpludvlxmh26hsdedtwio76icel2obwzoior6iuf3avszg.py
2022-11-23T02:04:38.3956815Z [2022-11-23 01:50:28,408] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 13
2022-11-23T02:04:38.3956837Z 
2022-11-23T02:04:38.3956980Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.3957066Z import torch
2022-11-23T02:04:38.3957174Z import random
2022-11-23T02:04:38.3957343Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.3957525Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.3957549Z 
2022-11-23T02:04:38.3957677Z aten = torch.ops.aten
2022-11-23T02:04:38.3957871Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.3958014Z async_compile = AsyncCompile()
2022-11-23T02:04:38.3958025Z 
2022-11-23T02:04:38.3958044Z 
2022-11-23T02:04:38.3958241Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.3958503Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.3958680Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.3958831Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.3958927Z {
2022-11-23T02:04:38.3959075Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.3959174Z     {
2022-11-23T02:04:38.3959289Z         #pragma omp for 
2022-11-23T02:04:38.3959392Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T02:04:38.3959490Z         {
2022-11-23T02:04:38.3959614Z             #pragma GCC ivdep
2022-11-23T02:04:38.3959816Z             for(long i1=0; i1<27; i1+=1)
2022-11-23T02:04:38.3959917Z             {
2022-11-23T02:04:38.3960047Z                 #pragma GCC ivdep
2022-11-23T02:04:38.3960159Z                 for(long i2=0; i2<27; i2+=1)
2022-11-23T02:04:38.3960261Z                 {
2022-11-23T02:04:38.3960371Z                     {
2022-11-23T02:04:38.3960477Z                         {
2022-11-23T02:04:38.3960645Z                             auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.3960815Z                             auto tmp3 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.3960978Z                             auto tmp9 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.3961147Z                             auto tmp15 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.3961289Z                             auto tmp21 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.3961446Z                             auto tmp27 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.3961617Z                             auto tmp33 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.3961783Z                             auto tmp39 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.3962016Z                             auto tmp45 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.3962173Z                             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T02:04:38.3962344Z                             auto tmp2 = static_cast<long>((2*i2) + (110*i1));
2022-11-23T02:04:38.3962493Z                             auto tmp4 = tmp3 * (tmp3>0);
2022-11-23T02:04:38.3962641Z                             auto tmp5 = static_cast<long>(1 + (2*i2) + (110*i1));
2022-11-23T02:04:38.3962790Z                             auto tmp6 = tmp4 > tmp1;
2022-11-23T02:04:38.3962945Z                             auto tmp7 = tmp6 ? tmp5 : tmp2;
2022-11-23T02:04:38.3963155Z                             auto tmp8 = std::max(tmp4, tmp1);
2022-11-23T02:04:38.3963308Z                             auto tmp10 = tmp9 * (tmp9>0);
2022-11-23T02:04:38.3963486Z                             auto tmp11 = static_cast<long>(2 + (2*i2) + (110*i1));
2022-11-23T02:04:38.3963632Z                             auto tmp12 = tmp10 > tmp8;
2022-11-23T02:04:38.3963795Z                             auto tmp13 = tmp12 ? tmp11 : tmp7;
2022-11-23T02:04:38.3963938Z                             auto tmp14 = std::max(tmp10, tmp8);
2022-11-23T02:04:38.3964093Z                             auto tmp16 = tmp15 * (tmp15>0);
2022-11-23T02:04:38.3964266Z                             auto tmp17 = static_cast<long>(55 + (2*i2) + (110*i1));
2022-11-23T02:04:38.3964413Z                             auto tmp18 = tmp16 > tmp14;
2022-11-23T02:04:38.3964568Z                             auto tmp19 = tmp18 ? tmp17 : tmp13;
2022-11-23T02:04:38.3964731Z                             auto tmp20 = std::max(tmp16, tmp14);
2022-11-23T02:04:38.3964886Z                             auto tmp22 = tmp21 * (tmp21>0);
2022-11-23T02:04:38.3965044Z                             auto tmp23 = static_cast<long>(56 + (2*i2) + (110*i1));
2022-11-23T02:04:38.3965191Z                             auto tmp24 = tmp22 > tmp20;
2022-11-23T02:04:38.3965352Z                             auto tmp25 = tmp24 ? tmp23 : tmp19;
2022-11-23T02:04:38.3965518Z                             auto tmp26 = std::max(tmp22, tmp20);
2022-11-23T02:04:38.3965669Z                             auto tmp28 = tmp27 * (tmp27>0);
2022-11-23T02:04:38.3965844Z                             auto tmp29 = static_cast<long>(57 + (2*i2) + (110*i1));
2022-11-23T02:04:38.3965993Z                             auto tmp30 = tmp28 > tmp26;
2022-11-23T02:04:38.3966153Z                             auto tmp31 = tmp30 ? tmp29 : tmp25;
2022-11-23T02:04:38.3966293Z                             auto tmp32 = std::max(tmp28, tmp26);
2022-11-23T02:04:38.3966440Z                             auto tmp34 = tmp33 * (tmp33>0);
2022-11-23T02:04:38.3966609Z                             auto tmp35 = static_cast<long>(110 + (2*i2) + (110*i1));
2022-11-23T02:04:38.3966814Z                             auto tmp36 = tmp34 > tmp32;
2022-11-23T02:04:38.3966965Z                             auto tmp37 = tmp36 ? tmp35 : tmp31;
2022-11-23T02:04:38.3967131Z                             auto tmp38 = std::max(tmp34, tmp32);
2022-11-23T02:04:38.3967283Z                             auto tmp40 = tmp39 * (tmp39>0);
2022-11-23T02:04:38.3967461Z                             auto tmp41 = static_cast<long>(111 + (2*i2) + (110*i1));
2022-11-23T02:04:38.3967583Z                             auto tmp42 = tmp40 > tmp38;
2022-11-23T02:04:38.3967736Z                             auto tmp43 = tmp42 ? tmp41 : tmp37;
2022-11-23T02:04:38.3967899Z                             auto tmp44 = std::max(tmp40, tmp38);
2022-11-23T02:04:38.3968054Z                             auto tmp46 = tmp45 * (tmp45>0);
2022-11-23T02:04:38.3968230Z                             auto tmp47 = static_cast<long>(112 + (2*i2) + (110*i1));
2022-11-23T02:04:38.3968381Z                             auto tmp48 = tmp46 > tmp44;
2022-11-23T02:04:38.3968534Z                             auto tmp49 = tmp48 ? tmp47 : tmp43;
2022-11-23T02:04:38.3968695Z                             auto tmp50 = std::max(tmp46, tmp44);
2022-11-23T02:04:38.3968880Z                             out_ptr0[i2 + (27*i1) + (729*i0)] = tmp50;
2022-11-23T02:04:38.3968994Z                         }
2022-11-23T02:04:38.3969106Z                     }
2022-11-23T02:04:38.3969213Z                 }
2022-11-23T02:04:38.3969314Z             }
2022-11-23T02:04:38.3969416Z         }
2022-11-23T02:04:38.3969515Z     }
2022-11-23T02:04:38.3969588Z }
2022-11-23T02:04:38.3969732Z ''')
2022-11-23T02:04:38.3969752Z 
2022-11-23T02:04:38.3969770Z 
2022-11-23T02:04:38.3969920Z async_compile.wait(globals())
2022-11-23T02:04:38.3970031Z del async_compile
2022-11-23T02:04:38.3970051Z 
2022-11-23T02:04:38.3970161Z def call(args):
2022-11-23T02:04:38.3970291Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:38.3970403Z     args.clear()
2022-11-23T02:04:38.3970587Z     buf0 = aten.convolution(arg2_1, arg1_1, arg0_1, (4, 4), (2, 2), (1, 1), False, (0, 0), 1)
2022-11-23T02:04:38.3970749Z     assert_size_stride(buf0, (16, 64, 55, 55), (193600, 3025, 55, 1))
2022-11-23T02:04:38.3970852Z     del arg0_1
2022-11-23T02:04:38.3970956Z     del arg1_1
2022-11-23T02:04:38.3971061Z     del arg2_1
2022-11-23T02:04:38.3971381Z     buf1 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3971576Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.3971665Z     return (buf1, )
2022-11-23T02:04:38.3971707Z 
2022-11-23T02:04:38.3971726Z 
2022-11-23T02:04:38.3971821Z if __name__ == "__main__":
2022-11-23T02:04:38.3971987Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.3972163Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.3972442Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3972749Z     arg1_1 = rand_strided((64, 3, 11, 11), (363, 121, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3973059Z     arg2_1 = rand_strided((16, 3, 224, 224), (150528, 50176, 224, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.3973243Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:38.3973262Z 
2022-11-23T02:04:38.3973369Z ok (2.997s)
2022-11-23T02:04:38.3973819Z   test_any_cpu (__main__.CpuTests) ... [2022-11-23 01:50:28,440] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.3974251Z [2022-11-23 01:50:28,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.3974560Z [2022-11-23 01:50:28,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.3974904Z [2022-11-23 01:50:28,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.3975362Z [2022-11-23 01:50:28,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.3975795Z [2022-11-23 01:50:28,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3976894Z [2022-11-23 01:50:28,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3977717Z [2022-11-23 01:50:28,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.3978465Z [2022-11-23 01:50:28,441] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382> 
2022-11-23T02:04:38.3978614Z  3384           0 LOAD_FAST                0 (x)
2022-11-23T02:04:38.3978743Z                2 LOAD_METHOD              0 (any)
2022-11-23T02:04:38.3978947Z                4 LOAD_CONST               1 (-1)
2022-11-23T02:04:38.3979079Z                6 CALL_METHOD              1
2022-11-23T02:04:38.3979103Z 
2022-11-23T02:04:38.3979387Z 3385           8 LOAD_FAST                0 (x)
2022-11-23T02:04:38.3979538Z               10 LOAD_METHOD              1 (isinf)
2022-11-23T02:04:38.3979671Z               12 CALL_METHOD              0
2022-11-23T02:04:38.3979809Z               14 LOAD_METHOD              0 (any)
2022-11-23T02:04:38.3979918Z               16 CALL_METHOD              0
2022-11-23T02:04:38.3979965Z 
2022-11-23T02:04:38.3980080Z 3386          18 LOAD_GLOBAL              2 (torch)
2022-11-23T02:04:38.3980218Z               20 LOAD_ATTR                3 (all)
2022-11-23T02:04:38.3980353Z               22 LOAD_FAST                0 (x)
2022-11-23T02:04:38.3980492Z               24 LOAD_METHOD              1 (isinf)
2022-11-23T02:04:38.3980633Z               26 CALL_METHOD              0
2022-11-23T02:04:38.3980770Z               28 LOAD_CONST               2 (0)
2022-11-23T02:04:38.3980982Z               30 LOAD_CONST               3 (('dim',))
2022-11-23T02:04:38.3981096Z               32 CALL_FUNCTION_KW         2
2022-11-23T02:04:38.3981120Z 
2022-11-23T02:04:38.3981260Z 3387          34 LOAD_GLOBAL              2 (torch)
2022-11-23T02:04:38.3981399Z               36 LOAD_METHOD              3 (all)
2022-11-23T02:04:38.3981538Z               38 LOAD_GLOBAL              2 (torch)
2022-11-23T02:04:38.3981687Z               40 LOAD_METHOD              4 (logical_not)
2022-11-23T02:04:38.3981819Z               42 LOAD_FAST                0 (x)
2022-11-23T02:04:38.3981957Z               44 LOAD_METHOD              1 (isinf)
2022-11-23T02:04:38.3982064Z               46 CALL_METHOD              0
2022-11-23T02:04:38.3982197Z               48 CALL_METHOD              1
2022-11-23T02:04:38.3982330Z               50 CALL_METHOD              1
2022-11-23T02:04:38.3982353Z 
2022-11-23T02:04:38.3982489Z 3383          52 BUILD_TUPLE              4
2022-11-23T02:04:38.3982611Z               54 RETURN_VALUE
2022-11-23T02:04:38.3982708Z  
2022-11-23T02:04:38.3982729Z 
2022-11-23T02:04:38.3983174Z [2022-11-23 01:50:28,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3384
2022-11-23T02:04:38.3983470Z [2022-11-23 01:50:28,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:38.3983802Z [2022-11-23 01:50:28,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable()]
2022-11-23T02:04:38.3984152Z [2022-11-23 01:50:28,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), any)]
2022-11-23T02:04:38.3984640Z [2022-11-23 01:50:28,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T02:04:38.3985066Z [2022-11-23 01:50:28,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3385
2022-11-23T02:04:38.3985495Z [2022-11-23 01:50:28,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T02:04:38.3985876Z [2022-11-23 01:50:28,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.3986302Z [2022-11-23 01:50:28,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T02:04:38.3986662Z [2022-11-23 01:50:28,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.3987076Z [2022-11-23 01:50:28,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T02:04:38.3987499Z [2022-11-23 01:50:28,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3386
2022-11-23T02:04:38.3987877Z [2022-11-23 01:50:28,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.3988554Z [2022-11-23 01:50:28,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.3989074Z [2022-11-23 01:50:28,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.3989625Z [2022-11-23 01:50:28,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.3990215Z [2022-11-23 01:50:28,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T02:04:38.3990765Z [2022-11-23 01:50:28,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.3991369Z [2022-11-23 01:50:28,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.3992030Z [2022-11-23 01:50:28,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T02:04:38.3992457Z [2022-11-23 01:50:28,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3387
2022-11-23T02:04:38.3992874Z [2022-11-23 01:50:28,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.3993478Z [2022-11-23 01:50:28,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.3994025Z [2022-11-23 01:50:28,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.3994774Z [2022-11-23 01:50:28,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.3995533Z [2022-11-23 01:50:28,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TorchVariable(<built-in method logical_not of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.3996285Z [2022-11-23 01:50:28,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TorchVariable(<built-in method logical_not of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.3997087Z [2022-11-23 01:50:28,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TorchVariable(<built-in method logical_not of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T02:04:38.3997873Z [2022-11-23 01:50:28,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TorchVariable(<built-in method logical_not of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.3998463Z [2022-11-23 01:50:28,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.3998896Z [2022-11-23 01:50:28,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3383
2022-11-23T02:04:38.3999337Z [2022-11-23 01:50:28,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.3999689Z [2022-11-23 01:50:28,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.4000186Z [2022-11-23 01:50:28,466] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382>
2022-11-23T02:04:38.4000525Z [2022-11-23 01:50:28,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.4000847Z [2022-11-23 01:50:28,466] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4001198Z [2022-11-23 01:50:28,469] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4001542Z [2022-11-23 01:50:28,481] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4001817Z [2022-11-23 01:50:28,481] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4002020Z  __compiled_fn_15 <eval_with_key>.104 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4002161Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4002367Z call_method, any_1, any, (ex_0_, -1), {}
2022-11-23T02:04:38.4002486Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T02:04:38.4002625Z call_method, any_2, any, (isinf,), {}
2022-11-23T02:04:38.4002772Z call_method, isinf_1, isinf, (ex_0_,), {}
2022-11-23T02:04:38.4003111Z call_function, all_1, <built-in method all of type object at 0x7fa5855aec60>, (isinf_1,), {'dim': 0}
2022-11-23T02:04:38.4003262Z call_method, isinf_2, isinf, (ex_0_,), {}
2022-11-23T02:04:38.4003613Z call_function, logical_not, <built-in method logical_not of type object at 0x7fa5855aec60>, (isinf_2,), {}
2022-11-23T02:04:38.4003935Z call_function, all_2, <built-in method all of type object at 0x7fa5855aec60>, (logical_not,), {}
2022-11-23T02:04:38.4004205Z output, output, output, ((any_1, any_2, all_1, all_2),), {}
2022-11-23T02:04:38.4004254Z 
2022-11-23T02:04:38.4004684Z [2022-11-23 01:50:28,482] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4004835Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4004974Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4005105Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4005248Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4005378Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4005515Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4005609Z              12 RETURN_VALUE
2022-11-23T02:04:38.4005629Z 
2022-11-23T02:04:38.4005730Z  
2022-11-23T02:04:38.4006175Z [2022-11-23 01:50:28,482] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4006346Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_15)
2022-11-23T02:04:38.4006486Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4006623Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4006816Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4006959Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.4007089Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.4007239Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4007379Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4007499Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.4007649Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4007788Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.4007906Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.4008031Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4008173Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:38.4008287Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.4008438Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4008578Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:38.4008700Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.4008830Z              36 BUILD_TUPLE              4
2022-11-23T02:04:38.4008924Z              38 RETURN_VALUE
2022-11-23T02:04:38.4008944Z 
2022-11-23T02:04:38.4009045Z  
2022-11-23T02:04:38.4009322Z [2022-11-23 01:50:28,483] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4009437Z  - 
2022-11-23T02:04:38.4009617Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4009719Z             {
2022-11-23T02:04:38.4009923Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4010163Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.4010333Z                 'obj_weakref': None
2022-11-23T02:04:38.4010650Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4010753Z             }
2022-11-23T02:04:38.4010857Z             
2022-11-23T02:04:38.4010969Z  - 
2022-11-23T02:04:38.4011155Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4011234Z             {
2022-11-23T02:04:38.4011439Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4011598Z                 'code': None,
2022-11-23T02:04:38.4011898Z                 'obj_weakref': <weakref at 0x7fa5500c4fe0; to 'Tensor' at 0x7fa53c4fdc10>
2022-11-23T02:04:38.4012243Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4012344Z             }
2022-11-23T02:04:38.4012444Z             
2022-11-23T02:04:38.4012530Z  - 
2022-11-23T02:04:38.4012723Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4012827Z             {
2022-11-23T02:04:38.4013113Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4013348Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.4013526Z                 'obj_weakref': None
2022-11-23T02:04:38.4013850Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4013931Z             }
2022-11-23T02:04:38.4014035Z             
2022-11-23T02:04:38.4014145Z  - 
2022-11-23T02:04:38.4014321Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4014423Z             {
2022-11-23T02:04:38.4014619Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4014915Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4015063Z                 'obj_weakref': None
2022-11-23T02:04:38.4015371Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4015476Z             }
2022-11-23T02:04:38.4015579Z             
2022-11-23T02:04:38.4015695Z  - 
2022-11-23T02:04:38.4015884Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.4015982Z             {
2022-11-23T02:04:38.4016681Z                 'guard_types': None,
2022-11-23T02:04:38.4017154Z                 'code': None,
2022-11-23T02:04:38.4017474Z                 'obj_weakref': None
2022-11-23T02:04:38.4017765Z                 'guarded_class': None
2022-11-23T02:04:38.4017920Z             }
2022-11-23T02:04:38.4018065Z             
2022-11-23T02:04:38.4018433Z [2022-11-23 01:50:28,507] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 14
2022-11-23T02:04:38.4018908Z [2022-11-23 01:50:31,105] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hq/chqiwp6av3ttpm3eada27efklm2yn7fma7dzrwh5wbmvfkzzber3.py
2022-11-23T02:04:38.4019268Z [2022-11-23 01:50:31,105] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 14
2022-11-23T02:04:38.4019597Z [2022-11-23 01:50:31,111] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4020033Z [2022-11-23 01:50:31,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4020339Z [2022-11-23 01:50:31,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4020685Z [2022-11-23 01:50:31,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4021064Z [2022-11-23 01:50:31,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4021493Z [2022-11-23 01:50:31,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4021959Z [2022-11-23 01:50:31,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4022395Z [2022-11-23 01:50:31,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4022878Z [2022-11-23 01:50:31,112] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382> 
2022-11-23T02:04:38.4023020Z  3384           0 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4023162Z                2 LOAD_METHOD              0 (any)
2022-11-23T02:04:38.4023362Z                4 LOAD_CONST               1 (-1)
2022-11-23T02:04:38.4023498Z                6 CALL_METHOD              1
2022-11-23T02:04:38.4023522Z 
2022-11-23T02:04:38.4023662Z 3385           8 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4023807Z               10 LOAD_METHOD              1 (isinf)
2022-11-23T02:04:38.4023940Z               12 CALL_METHOD              0
2022-11-23T02:04:38.4024181Z               14 LOAD_METHOD              0 (any)
2022-11-23T02:04:38.4024318Z               16 CALL_METHOD              0
2022-11-23T02:04:38.4024339Z 
2022-11-23T02:04:38.4024477Z 3386          18 LOAD_GLOBAL              2 (torch)
2022-11-23T02:04:38.4024623Z               20 LOAD_ATTR                3 (all)
2022-11-23T02:04:38.4024763Z               22 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4024907Z               24 LOAD_METHOD              1 (isinf)
2022-11-23T02:04:38.4025039Z               26 CALL_METHOD              0
2022-11-23T02:04:38.4025177Z               28 LOAD_CONST               2 (0)
2022-11-23T02:04:38.4025366Z               30 LOAD_CONST               3 (('dim',))
2022-11-23T02:04:38.4025507Z               32 CALL_FUNCTION_KW         2
2022-11-23T02:04:38.4025526Z 
2022-11-23T02:04:38.4025665Z 3387          34 LOAD_GLOBAL              2 (torch)
2022-11-23T02:04:38.4025804Z               36 LOAD_METHOD              3 (all)
2022-11-23T02:04:38.4025945Z               38 LOAD_GLOBAL              2 (torch)
2022-11-23T02:04:38.4026095Z               40 LOAD_METHOD              4 (logical_not)
2022-11-23T02:04:38.4026229Z               42 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4026345Z               44 LOAD_METHOD              1 (isinf)
2022-11-23T02:04:38.4026532Z               46 CALL_METHOD              0
2022-11-23T02:04:38.4026669Z               48 CALL_METHOD              1
2022-11-23T02:04:38.4026801Z               50 CALL_METHOD              1
2022-11-23T02:04:38.4026821Z 
2022-11-23T02:04:38.4026954Z 3383          52 BUILD_TUPLE              4
2022-11-23T02:04:38.4027074Z               54 RETURN_VALUE
2022-11-23T02:04:38.4027169Z  
2022-11-23T02:04:38.4027189Z 
2022-11-23T02:04:38.4027629Z [2022-11-23 01:50:31,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3384
2022-11-23T02:04:38.4027900Z [2022-11-23 01:50:31,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:38.4028237Z [2022-11-23 01:50:31,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable()]
2022-11-23T02:04:38.4028616Z [2022-11-23 01:50:31,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), any)]
2022-11-23T02:04:38.4029040Z [2022-11-23 01:50:31,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T02:04:38.4029467Z [2022-11-23 01:50:31,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3385
2022-11-23T02:04:38.4029792Z [2022-11-23 01:50:31,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T02:04:38.4030158Z [2022-11-23 01:50:31,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4030574Z [2022-11-23 01:50:31,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T02:04:38.4030942Z [2022-11-23 01:50:31,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4031360Z [2022-11-23 01:50:31,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T02:04:38.4031761Z [2022-11-23 01:50:31,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3386
2022-11-23T02:04:38.4032136Z [2022-11-23 01:50:31,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4032707Z [2022-11-23 01:50:31,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.4033275Z [2022-11-23 01:50:31,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.4033828Z [2022-11-23 01:50:31,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.4034420Z [2022-11-23 01:50:31,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T02:04:38.4034973Z [2022-11-23 01:50:31,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.4035590Z [2022-11-23 01:50:31,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4036499Z [2022-11-23 01:50:31,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T02:04:38.4037290Z [2022-11-23 01:50:31,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3387
2022-11-23T02:04:38.4038002Z [2022-11-23 01:50:31,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4038894Z [2022-11-23 01:50:31,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.4039887Z [2022-11-23 01:50:31,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.4041136Z [2022-11-23 01:50:31,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.4042360Z [2022-11-23 01:50:31,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TorchVariable(<built-in method logical_not of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.4043644Z [2022-11-23 01:50:31,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TorchVariable(<built-in method logical_not of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.4045145Z [2022-11-23 01:50:31,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TorchVariable(<built-in method logical_not of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T02:04:38.4046634Z [2022-11-23 01:50:31,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TorchVariable(<built-in method logical_not of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.4047875Z [2022-11-23 01:50:31,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.4048761Z [2022-11-23 01:50:31,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3383
2022-11-23T02:04:38.4049647Z [2022-11-23 01:50:31,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4050277Z [2022-11-23 01:50:31,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.4051250Z [2022-11-23 01:50:31,134] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382>
2022-11-23T02:04:38.4052041Z [2022-11-23 01:50:31,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.4052547Z [2022-11-23 01:50:31,135] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4053076Z [2022-11-23 01:50:31,137] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4053432Z [2022-11-23 01:50:31,149] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4053695Z [2022-11-23 01:50:31,150] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4053884Z  __compiled_fn_16 <eval_with_key>.110 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4054021Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4054192Z call_method, any_1, any, (ex_0_, -1), {}
2022-11-23T02:04:38.4054331Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T02:04:38.4054464Z call_method, any_2, any, (isinf,), {}
2022-11-23T02:04:38.4054607Z call_method, isinf_1, isinf, (ex_0_,), {}
2022-11-23T02:04:38.4054933Z call_function, all_1, <built-in method all of type object at 0x7fa5855aec60>, (isinf_1,), {'dim': 0}
2022-11-23T02:04:38.4055076Z call_method, isinf_2, isinf, (ex_0_,), {}
2022-11-23T02:04:38.4055423Z call_function, logical_not, <built-in method logical_not of type object at 0x7fa5855aec60>, (isinf_2,), {}
2022-11-23T02:04:38.4055748Z call_function, all_2, <built-in method all of type object at 0x7fa5855aec60>, (logical_not,), {}
2022-11-23T02:04:38.4055897Z output, output, output, ((any_1, any_2, all_1, all_2),), {}
2022-11-23T02:04:38.4055919Z 
2022-11-23T02:04:38.4057086Z [2022-11-23 01:50:31,150] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4057326Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4057408Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4057511Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4057683Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4057789Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4057985Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4058020Z              12 RETURN_VALUE
2022-11-23T02:04:38.4058041Z 
2022-11-23T02:04:38.4058138Z  
2022-11-23T02:04:38.4058585Z [2022-11-23 01:50:31,151] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4058757Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_16)
2022-11-23T02:04:38.4058876Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4059073Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4059135Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4059241Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.4059391Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.4059757Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4059862Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4059981Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.4060133Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4060266Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.4060360Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.4060503Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4060636Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:38.4060750Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.4060895Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4061026Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:38.4061141Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.4061275Z              36 BUILD_TUPLE              4
2022-11-23T02:04:38.4061369Z              38 RETURN_VALUE
2022-11-23T02:04:38.4061392Z 
2022-11-23T02:04:38.4061490Z  
2022-11-23T02:04:38.4061756Z [2022-11-23 01:50:31,152] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4061865Z  - 
2022-11-23T02:04:38.4062035Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4062135Z             {
2022-11-23T02:04:38.4062436Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4062689Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.4062859Z                 'obj_weakref': None
2022-11-23T02:04:38.4063171Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4063274Z             }
2022-11-23T02:04:38.4063372Z             
2022-11-23T02:04:38.4063481Z  - 
2022-11-23T02:04:38.4063662Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4063740Z             {
2022-11-23T02:04:38.4063941Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4064096Z                 'code': None,
2022-11-23T02:04:38.4064389Z                 'obj_weakref': <weakref at 0x7fa550345ad0; to 'Tensor' at 0x7fa55039c450>
2022-11-23T02:04:38.4064735Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4064837Z             }
2022-11-23T02:04:38.4064934Z             
2022-11-23T02:04:38.4065021Z  - 
2022-11-23T02:04:38.4065203Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4065303Z             {
2022-11-23T02:04:38.4065495Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4065730Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.4065904Z                 'obj_weakref': None
2022-11-23T02:04:38.4066217Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4066297Z             }
2022-11-23T02:04:38.4066401Z             
2022-11-23T02:04:38.4066512Z  - 
2022-11-23T02:04:38.4066689Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4066789Z             {
2022-11-23T02:04:38.4066979Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4067273Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4067426Z                 'obj_weakref': None
2022-11-23T02:04:38.4067737Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4067840Z             }
2022-11-23T02:04:38.4067942Z             
2022-11-23T02:04:38.4068054Z  - 
2022-11-23T02:04:38.4068243Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.4068342Z             {
2022-11-23T02:04:38.4068491Z                 'guard_types': None,
2022-11-23T02:04:38.4068643Z                 'code': None,
2022-11-23T02:04:38.4068810Z                 'obj_weakref': None
2022-11-23T02:04:38.4068983Z                 'guarded_class': None
2022-11-23T02:04:38.4069081Z             }
2022-11-23T02:04:38.4069248Z             
2022-11-23T02:04:38.4069583Z [2022-11-23 01:50:31,175] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 15
2022-11-23T02:04:38.4070084Z [2022-11-23 01:50:34,073] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/os/cosdqko2hpbn5slkylvleluylfwe6ylsytnbg3w5stfl63ukpqlh.py
2022-11-23T02:04:38.4070440Z [2022-11-23 01:50:34,073] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 15
2022-11-23T02:04:38.4070462Z 
2022-11-23T02:04:38.4070606Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4070739Z import torch
2022-11-23T02:04:38.4070820Z import random
2022-11-23T02:04:38.4070984Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4071158Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4071178Z 
2022-11-23T02:04:38.4071295Z aten = torch.ops.aten
2022-11-23T02:04:38.4071463Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4071603Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4071624Z 
2022-11-23T02:04:38.4071643Z 
2022-11-23T02:04:38.4071862Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.4072188Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.4072340Z extern "C" void kernel(bool* __restrict__ in_out_ptr0,
2022-11-23T02:04:38.4072487Z                        bool* __restrict__ in_out_ptr1,
2022-11-23T02:04:38.4072638Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.4072779Z                        bool* __restrict__ out_ptr0,
2022-11-23T02:04:38.4072897Z                        bool* __restrict__ out_ptr1)
2022-11-23T02:04:38.4072990Z {
2022-11-23T02:04:38.4073118Z     auto out_ptr2 = in_out_ptr0;
2022-11-23T02:04:38.4073243Z     auto out_ptr3 = in_out_ptr1;
2022-11-23T02:04:38.4073337Z     {
2022-11-23T02:04:38.4073437Z         {
2022-11-23T02:04:38.4073531Z             bool tmp2 = 0;
2022-11-23T02:04:38.4073650Z             bool tmp4 = 0;
2022-11-23T02:04:38.4073767Z             bool tmp8 = 0;
2022-11-23T02:04:38.4073883Z             bool tmp10 = 0;
2022-11-23T02:04:38.4074038Z             #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4074137Z             {
2022-11-23T02:04:38.4074371Z                 #pragma omp for reduction(||:tmp2) reduction(||:tmp4) reduction(||:tmp8) reduction(||:tmp10) 
2022-11-23T02:04:38.4074485Z                 for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:38.4074584Z                 {
2022-11-23T02:04:38.4074689Z                     {
2022-11-23T02:04:38.4074830Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.4074986Z                         auto tmp1 = static_cast<bool>(tmp0);
2022-11-23T02:04:38.4075177Z                         auto tmp3 = std::isinf(tmp0);
2022-11-23T02:04:38.4075312Z                         auto tmp5 = tmp3 == 0;
2022-11-23T02:04:38.4075448Z                         auto tmp6 = static_cast<long>(tmp5);
2022-11-23T02:04:38.4075607Z                         auto tmp7 = static_cast<bool>(tmp6);
2022-11-23T02:04:38.4075739Z                         auto tmp9 = tmp5 == 0;
2022-11-23T02:04:38.4075869Z                         tmp2 = tmp2 || tmp1;
2022-11-23T02:04:38.4075999Z                         tmp4 = tmp4 || tmp3;
2022-11-23T02:04:38.4076131Z                         tmp8 = tmp8 || tmp7;
2022-11-23T02:04:38.4076264Z                         tmp10 = tmp10 || tmp9;
2022-11-23T02:04:38.4076367Z                     }
2022-11-23T02:04:38.4076448Z                 }
2022-11-23T02:04:38.4076545Z             }
2022-11-23T02:04:38.4076664Z             out_ptr0[0] = tmp2;
2022-11-23T02:04:38.4076780Z             out_ptr1[0] = tmp4;
2022-11-23T02:04:38.4076899Z             out_ptr2[0] = tmp8;
2022-11-23T02:04:38.4077014Z             out_ptr3[0] = tmp10;
2022-11-23T02:04:38.4077090Z         }
2022-11-23T02:04:38.4077185Z     }
2022-11-23T02:04:38.4077282Z     {
2022-11-23T02:04:38.4077383Z         {
2022-11-23T02:04:38.4077508Z             auto tmp0 = out_ptr2[0];
2022-11-23T02:04:38.4077758Z             auto tmp1 = tmp0 == 0;
2022-11-23T02:04:38.4077878Z             in_out_ptr0[0] = tmp1;
2022-11-23T02:04:38.4077954Z         }
2022-11-23T02:04:38.4078049Z     }
2022-11-23T02:04:38.4078143Z     {
2022-11-23T02:04:38.4078239Z         {
2022-11-23T02:04:38.4078369Z             auto tmp0 = out_ptr3[0];
2022-11-23T02:04:38.4078490Z             auto tmp1 = tmp0 == 0;
2022-11-23T02:04:38.4078587Z             in_out_ptr1[0] = tmp1;
2022-11-23T02:04:38.4078688Z         }
2022-11-23T02:04:38.4078786Z     }
2022-11-23T02:04:38.4078882Z }
2022-11-23T02:04:38.4079014Z ''')
2022-11-23T02:04:38.4079036Z 
2022-11-23T02:04:38.4079054Z 
2022-11-23T02:04:38.4079190Z async_compile.wait(globals())
2022-11-23T02:04:38.4079298Z del async_compile
2022-11-23T02:04:38.4079319Z 
2022-11-23T02:04:38.4079425Z def call(args):
2022-11-23T02:04:38.4079512Z     arg0_1, = args
2022-11-23T02:04:38.4079620Z     args.clear()
2022-11-23T02:04:38.4079872Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.4080127Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.4080371Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.4080667Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.4080803Z     buf4 = buf2; del buf2  # reuse
2022-11-23T02:04:38.4080908Z     buf5 = buf3; del buf3  # reuse
2022-11-23T02:04:38.4081208Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.4081313Z     del arg0_1
2022-11-23T02:04:38.4081441Z     return (buf0, buf1, buf4, buf5, )
2022-11-23T02:04:38.4081461Z 
2022-11-23T02:04:38.4081479Z 
2022-11-23T02:04:38.4081597Z if __name__ == "__main__":
2022-11-23T02:04:38.4081765Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4081938Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4082218Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4082354Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.4082374Z 
2022-11-23T02:04:38.4082418Z 
2022-11-23T02:04:38.4082536Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4082648Z import torch
2022-11-23T02:04:38.4082756Z import random
2022-11-23T02:04:38.4082923Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4083093Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4083113Z 
2022-11-23T02:04:38.4083228Z aten = torch.ops.aten
2022-11-23T02:04:38.4083416Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4083533Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4083552Z 
2022-11-23T02:04:38.4083570Z 
2022-11-23T02:04:38.4083769Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.4084052Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.4084223Z extern "C" void kernel(bool* __restrict__ in_out_ptr0,
2022-11-23T02:04:38.4084449Z                        bool* __restrict__ in_out_ptr1,
2022-11-23T02:04:38.4084603Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.4084749Z                        bool* __restrict__ out_ptr0,
2022-11-23T02:04:38.4084888Z                        bool* __restrict__ out_ptr1)
2022-11-23T02:04:38.4084966Z {
2022-11-23T02:04:38.4085094Z     auto out_ptr3 = in_out_ptr0;
2022-11-23T02:04:38.4085217Z     auto out_ptr2 = in_out_ptr1;
2022-11-23T02:04:38.4085362Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4085458Z     {
2022-11-23T02:04:38.4085574Z         #pragma omp for 
2022-11-23T02:04:38.4085676Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:38.4085775Z         {
2022-11-23T02:04:38.4085875Z             {
2022-11-23T02:04:38.4085976Z                 {
2022-11-23T02:04:38.4086096Z                     bool tmp2 = 0;
2022-11-23T02:04:38.4086230Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:38.4086404Z                     {
2022-11-23T02:04:38.4086490Z                         {
2022-11-23T02:04:38.4086649Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:38.4086812Z                             auto tmp1 = static_cast<bool>(tmp0);
2022-11-23T02:04:38.4086950Z                             tmp2 = tmp2 || tmp1;
2022-11-23T02:04:38.4087057Z                         }
2022-11-23T02:04:38.4087159Z                     }
2022-11-23T02:04:38.4087286Z                     out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.4087365Z                 }
2022-11-23T02:04:38.4087462Z             }
2022-11-23T02:04:38.4087557Z         }
2022-11-23T02:04:38.4087651Z     }
2022-11-23T02:04:38.4087745Z     {
2022-11-23T02:04:38.4087839Z         {
2022-11-23T02:04:38.4087955Z             bool tmp2 = 0;
2022-11-23T02:04:38.4088051Z             bool tmp5 = 0;
2022-11-23T02:04:38.4088203Z             #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4088307Z             {
2022-11-23T02:04:38.4088488Z                 #pragma omp for reduction(||:tmp2) reduction(||:tmp5) 
2022-11-23T02:04:38.4088621Z                 for(long i0=0; i0<128; i0+=1)
2022-11-23T02:04:38.4088719Z                 {
2022-11-23T02:04:38.4088884Z                     {
2022-11-23T02:04:38.4089036Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.4089202Z                         auto tmp1 = std::isinf(tmp0);
2022-11-23T02:04:38.4089336Z                         auto tmp3 = tmp1 == 0;
2022-11-23T02:04:38.4089469Z                         auto tmp4 = tmp3 == 0;
2022-11-23T02:04:38.4089600Z                         tmp2 = tmp2 || tmp1;
2022-11-23T02:04:38.4089731Z                         tmp5 = tmp5 || tmp4;
2022-11-23T02:04:38.4089835Z                     }
2022-11-23T02:04:38.4089916Z                 }
2022-11-23T02:04:38.4090015Z             }
2022-11-23T02:04:38.4090134Z             out_ptr1[0] = tmp2;
2022-11-23T02:04:38.4090256Z             out_ptr2[0] = tmp5;
2022-11-23T02:04:38.4090356Z         }
2022-11-23T02:04:38.4090455Z     }
2022-11-23T02:04:38.4090577Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4090672Z     {
2022-11-23T02:04:38.4090791Z         #pragma omp for 
2022-11-23T02:04:38.4090914Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.4091010Z         {
2022-11-23T02:04:38.4091114Z             {
2022-11-23T02:04:38.4091212Z                 {
2022-11-23T02:04:38.4091312Z                     bool tmp5 = 0;
2022-11-23T02:04:38.4091444Z                     for(long i1=0; i1<16; i1+=1)
2022-11-23T02:04:38.4091546Z                     {
2022-11-23T02:04:38.4091651Z                         {
2022-11-23T02:04:38.4091803Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T02:04:38.4091956Z                             auto tmp1 = std::isinf(tmp0);
2022-11-23T02:04:38.4092091Z                             auto tmp2 = tmp1 == 0;
2022-11-23T02:04:38.4092227Z                             auto tmp3 = static_cast<long>(tmp2);
2022-11-23T02:04:38.4092388Z                             auto tmp4 = static_cast<bool>(tmp3);
2022-11-23T02:04:38.4092530Z                             tmp5 = tmp5 || tmp4;
2022-11-23T02:04:38.4092632Z                         }
2022-11-23T02:04:38.4092735Z                     }
2022-11-23T02:04:38.4092866Z                     out_ptr3[i0] = tmp5;
2022-11-23T02:04:38.4092972Z                 }
2022-11-23T02:04:38.4093050Z             }
2022-11-23T02:04:38.4093145Z         }
2022-11-23T02:04:38.4093261Z         #pragma omp for 
2022-11-23T02:04:38.4093383Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.4093480Z         {
2022-11-23T02:04:38.4093579Z             {
2022-11-23T02:04:38.4093658Z                 {
2022-11-23T02:04:38.4093796Z                     auto tmp0 = out_ptr3[i0];
2022-11-23T02:04:38.4093930Z                     auto tmp1 = tmp0 == 0;
2022-11-23T02:04:38.4094061Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T02:04:38.4094163Z                 }
2022-11-23T02:04:38.4094329Z             }
2022-11-23T02:04:38.4094423Z         }
2022-11-23T02:04:38.4094523Z         #pragma omp single
2022-11-23T02:04:38.4094619Z         {
2022-11-23T02:04:38.4094713Z             {
2022-11-23T02:04:38.4094810Z                 {
2022-11-23T02:04:38.4094950Z                     auto tmp0 = out_ptr2[0];
2022-11-23T02:04:38.4095079Z                     auto tmp1 = tmp0 == 0;
2022-11-23T02:04:38.4095208Z                     in_out_ptr1[0] = tmp1;
2022-11-23T02:04:38.4095287Z                 }
2022-11-23T02:04:38.4095384Z             }
2022-11-23T02:04:38.4095483Z         }
2022-11-23T02:04:38.4095578Z     }
2022-11-23T02:04:38.4095670Z }
2022-11-23T02:04:38.4095811Z ''')
2022-11-23T02:04:38.4095831Z 
2022-11-23T02:04:38.4095850Z 
2022-11-23T02:04:38.4095993Z async_compile.wait(globals())
2022-11-23T02:04:38.4096582Z del async_compile
2022-11-23T02:04:38.4096620Z 
2022-11-23T02:04:38.4096815Z def call(args):
2022-11-23T02:04:38.4096988Z     arg0_1, = args
2022-11-23T02:04:38.4097163Z     args.clear()
2022-11-23T02:04:38.4097646Z     buf0 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.4098069Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.4098482Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.4098876Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.4099015Z     buf4 = buf2; del buf2  # reuse
2022-11-23T02:04:38.4099139Z     buf5 = buf3; del buf3  # reuse
2022-11-23T02:04:38.4099430Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.4099538Z     del arg0_1
2022-11-23T02:04:38.4099666Z     return (buf0, buf1, buf4, buf5, )
2022-11-23T02:04:38.4099688Z 
2022-11-23T02:04:38.4099706Z 
2022-11-23T02:04:38.4099821Z if __name__ == "__main__":
2022-11-23T02:04:38.4099988Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4100149Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4100433Z     arg0_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4100592Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.4100611Z 
2022-11-23T02:04:38.4100717Z ok (5.640s)
2022-11-23T02:04:38.4101134Z   test_arange1_cpu (__main__.CpuTests) ... [2022-11-23 01:50:34,080] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4101571Z [2022-11-23 01:50:34,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4101867Z [2022-11-23 01:50:34,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4102212Z [2022-11-23 01:50:34,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4102586Z [2022-11-23 01:50:34,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4103000Z [2022-11-23 01:50:34,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4103466Z [2022-11-23 01:50:34,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4103901Z [2022-11-23 01:50:34,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4104408Z [2022-11-23 01:50:34,082] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115aad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 878> 
2022-11-23T02:04:38.4104549Z  879           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.4104687Z               2 LOAD_ATTR                1 (arange)
2022-11-23T02:04:38.4104933Z               4 LOAD_CONST               1 (64)
2022-11-23T02:04:38.4105073Z               6 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.4105211Z               8 LOAD_ATTR                2 (float32)
2022-11-23T02:04:38.4105327Z              10 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4105462Z              12 LOAD_ATTR                3 (device)
2022-11-23T02:04:38.4105695Z              14 LOAD_CONST               2 (('dtype', 'device'))
2022-11-23T02:04:38.4105829Z              16 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.4105966Z              18 LOAD_METHOD              4 (view)
2022-11-23T02:04:38.4106098Z              20 LOAD_CONST               3 (8)
2022-11-23T02:04:38.4106233Z              22 LOAD_CONST               3 (8)
2022-11-23T02:04:38.4106340Z              24 CALL_METHOD              2
2022-11-23T02:04:38.4106480Z              26 STORE_FAST               1 (rng1)
2022-11-23T02:04:38.4106500Z 
2022-11-23T02:04:38.4106637Z 880          28 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.4106775Z              30 LOAD_ATTR                1 (arange)
2022-11-23T02:04:38.4106906Z              32 LOAD_CONST               4 (10)
2022-11-23T02:04:38.4107036Z              34 LOAD_CONST               5 (18)
2022-11-23T02:04:38.4107223Z              36 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4107366Z              38 LOAD_ATTR                3 (device)
2022-11-23T02:04:38.4107557Z              40 LOAD_CONST               6 (('device',))
2022-11-23T02:04:38.4107692Z              42 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.4107833Z              44 STORE_FAST               2 (rng2)
2022-11-23T02:04:38.4107852Z 
2022-11-23T02:04:38.4107983Z 881          46 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4108116Z              48 LOAD_FAST                1 (rng1)
2022-11-23T02:04:38.4108235Z              50 BINARY_MULTIPLY
2022-11-23T02:04:38.4108371Z              52 STORE_FAST               3 (tmp)
2022-11-23T02:04:38.4108390Z 
2022-11-23T02:04:38.4108530Z 882          54 LOAD_FAST                3 (tmp)
2022-11-23T02:04:38.4108643Z              56 LOAD_FAST                3 (tmp)
2022-11-23T02:04:38.4108773Z              58 LOAD_FAST                2 (rng2)
2022-11-23T02:04:38.4108885Z              60 BINARY_ADD
2022-11-23T02:04:38.4109016Z              62 BUILD_TUPLE              2
2022-11-23T02:04:38.4109131Z              64 RETURN_VALUE
2022-11-23T02:04:38.4109224Z  
2022-11-23T02:04:38.4109244Z 
2022-11-23T02:04:38.4109680Z [2022-11-23 01:50:34,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:879
2022-11-23T02:04:38.4109966Z [2022-11-23 01:50:34,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.4110462Z [2022-11-23 01:50:34,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.4110902Z [2022-11-23 01:50:34,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.4111398Z [2022-11-23 01:50:34,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int)]
2022-11-23T02:04:38.4112091Z [2022-11-23 01:50:34,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.4112626Z [2022-11-23 01:50:34,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T02:04:38.4113207Z [2022-11-23 01:50:34,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T02:04:38.4113892Z [2022-11-23 01:50:34,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)]
2022-11-23T02:04:38.4114537Z [2022-11-23 01:50:34,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:38.4114871Z [2022-11-23 01:50:34,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:38.4115246Z [2022-11-23 01:50:34,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:38.4115672Z [2022-11-23 01:50:34,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T02:04:38.4116198Z [2022-11-23 01:50:34,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4116543Z [2022-11-23 01:50:34,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng1 [TensorVariable()]
2022-11-23T02:04:38.4116944Z [2022-11-23 01:50:34,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:880
2022-11-23T02:04:38.4117248Z [2022-11-23 01:50:34,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.4117748Z [2022-11-23 01:50:34,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.4118194Z [2022-11-23 01:50:34,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.4118683Z [2022-11-23 01:50:34,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 18 [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int)]
2022-11-23T02:04:38.4119221Z [2022-11-23 01:50:34,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4119803Z [2022-11-23 01:50:34,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:38.4120395Z [2022-11-23 01:50:34,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T02:04:38.4121049Z [2022-11-23 01:50:34,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:38.4121391Z [2022-11-23 01:50:34,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng2 [TensorVariable()]
2022-11-23T02:04:38.4121811Z [2022-11-23 01:50:34,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:881
2022-11-23T02:04:38.4122098Z [2022-11-23 01:50:34,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:38.4122407Z [2022-11-23 01:50:34,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng1 [TensorVariable()]
2022-11-23T02:04:38.4122798Z [2022-11-23 01:50:34,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4123202Z [2022-11-23 01:50:34,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T02:04:38.4123629Z [2022-11-23 01:50:34,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:882
2022-11-23T02:04:38.4123923Z [2022-11-23 01:50:34,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T02:04:38.4124250Z [2022-11-23 01:50:34,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable()]
2022-11-23T02:04:38.4124614Z [2022-11-23 01:50:34,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4125026Z [2022-11-23 01:50:34,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4125396Z [2022-11-23 01:50:34,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4125737Z [2022-11-23 01:50:34,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.4126290Z [2022-11-23 01:50:34,098] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115aad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 878>
2022-11-23T02:04:38.4126638Z [2022-11-23 01:50:34,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.4126967Z [2022-11-23 01:50:34,098] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4127313Z [2022-11-23 01:50:34,100] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4127658Z [2022-11-23 01:50:34,108] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4127934Z [2022-11-23 01:50:34,108] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4128123Z  __compiled_fn_17 <eval_with_key>.116 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4128255Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4128676Z call_function, arange, <built-in method arange of type object at 0x7fa5855aec60>, (64,), {'dtype': torch.float32, 'device': device(type='cpu')}
2022-11-23T02:04:38.4128805Z call_method, view, view, (arange, 8, 8), {}
2022-11-23T02:04:38.4129195Z call_function, arange_1, <built-in method arange of type object at 0x7fa5855aec60>, (10, 18), {'device': device(type='cpu')}
2022-11-23T02:04:38.4129442Z call_function, mul, <built-in function mul>, (ex_0_, view), {}
2022-11-23T02:04:38.4129700Z call_function, add, <built-in function add>, (mul, arange_1), {}
2022-11-23T02:04:38.4129847Z output, output, output, ((mul, add),), {}
2022-11-23T02:04:38.4129871Z 
2022-11-23T02:04:38.4130311Z [2022-11-23 01:50:34,109] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4130457Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4130590Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4130704Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4130841Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4130967Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4131096Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4131213Z              12 RETURN_VALUE
2022-11-23T02:04:38.4131233Z 
2022-11-23T02:04:38.4131327Z  
2022-11-23T02:04:38.4131769Z [2022-11-23 01:50:34,109] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4131930Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_17)
2022-11-23T02:04:38.4132120Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4132255Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4132373Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4132502Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.4132653Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.4132927Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4133063Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4133157Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.4133306Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4133438Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.4133555Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.4133682Z              24 BUILD_TUPLE              2
2022-11-23T02:04:38.4133795Z              26 RETURN_VALUE
2022-11-23T02:04:38.4133815Z 
2022-11-23T02:04:38.4133910Z  
2022-11-23T02:04:38.4134149Z [2022-11-23 01:50:34,111] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4134268Z  - 
2022-11-23T02:04:38.4134439Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4134538Z             {
2022-11-23T02:04:38.4134738Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4135053Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.4135239Z                 'obj_weakref': None
2022-11-23T02:04:38.4135528Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4135629Z             }
2022-11-23T02:04:38.4135729Z             
2022-11-23T02:04:38.4135836Z  - 
2022-11-23T02:04:38.4136011Z             local 'ex[0]' TYPE_MATCH
2022-11-23T02:04:38.4136672Z             {
2022-11-23T02:04:38.4137032Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T02:04:38.4137402Z                 'code': ['___check_type_id(ex[0], 93849142100368)'],
2022-11-23T02:04:38.4137896Z                 'obj_weakref': <weakref at 0x7fa5503dd5d0; to 'Tensor' at 0x7fa53c524e50>
2022-11-23T02:04:38.4138441Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4138553Z             }
2022-11-23T02:04:38.4138651Z             
2022-11-23T02:04:38.4138775Z  - 
2022-11-23T02:04:38.4138957Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4139034Z             {
2022-11-23T02:04:38.4139240Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4139395Z                 'code': None,
2022-11-23T02:04:38.4139683Z                 'obj_weakref': <weakref at 0x7fa5503dd5d0; to 'Tensor' at 0x7fa53c524e50>
2022-11-23T02:04:38.4140032Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4140130Z             }
2022-11-23T02:04:38.4140230Z             
2022-11-23T02:04:38.4140335Z  - 
2022-11-23T02:04:38.4140500Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4140602Z             {
2022-11-23T02:04:38.4140792Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4141030Z                 'code': ['___check_obj_id(model, 140347994911600)'],
2022-11-23T02:04:38.4141202Z                 'obj_weakref': None
2022-11-23T02:04:38.4141518Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4141618Z             }
2022-11-23T02:04:38.4141695Z             
2022-11-23T02:04:38.4141802Z  - 
2022-11-23T02:04:38.4141977Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4142075Z             {
2022-11-23T02:04:38.4142268Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4142564Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4142715Z                 'obj_weakref': None
2022-11-23T02:04:38.4143016Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4143411Z             }
2022-11-23T02:04:38.4143506Z             
2022-11-23T02:04:38.4143617Z  - 
2022-11-23T02:04:38.4143809Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.4143912Z             {
2022-11-23T02:04:38.4144066Z                 'guard_types': None,
2022-11-23T02:04:38.4144225Z                 'code': None,
2022-11-23T02:04:38.4144400Z                 'obj_weakref': None
2022-11-23T02:04:38.4144574Z                 'guarded_class': None
2022-11-23T02:04:38.4144675Z             }
2022-11-23T02:04:38.4144775Z             
2022-11-23T02:04:38.4144879Z  - 
2022-11-23T02:04:38.4145071Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T02:04:38.4145173Z             {
2022-11-23T02:04:38.4145380Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:38.4145620Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T02:04:38.4145789Z                 'obj_weakref': None
2022-11-23T02:04:38.4146099Z                 'guarded_class': <weakref at 0x7fa5bc5e1e40; to 'type' at 0x7fa5855aac80 (dtype)>
2022-11-23T02:04:38.4146201Z             }
2022-11-23T02:04:38.4146278Z             
2022-11-23T02:04:38.4146730Z [2022-11-23 01:50:34,124] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 16
2022-11-23T02:04:38.4147244Z [2022-11-23 01:50:36,705] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a6/ca6ohrxyc2cpwd4nhexngq4qjcukxbtr5iarpeewgmkew4y4a6zp.py
2022-11-23T02:04:38.4147608Z [2022-11-23 01:50:36,706] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 16
2022-11-23T02:04:38.4147632Z 
2022-11-23T02:04:38.4147769Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4147881Z import torch
2022-11-23T02:04:38.4147985Z import random
2022-11-23T02:04:38.4148150Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4148303Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4148322Z 
2022-11-23T02:04:38.4148445Z aten = torch.ops.aten
2022-11-23T02:04:38.4148635Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4148773Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4148793Z 
2022-11-23T02:04:38.4148811Z 
2022-11-23T02:04:38.4149006Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.4149290Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.4149462Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.4149608Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.4149728Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:38.4149824Z {
2022-11-23T02:04:38.4149967Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4150062Z     {
2022-11-23T02:04:38.4150179Z         #pragma omp for 
2022-11-23T02:04:38.4150301Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:38.4150398Z         {
2022-11-23T02:04:38.4150477Z             {
2022-11-23T02:04:38.4150582Z                 {
2022-11-23T02:04:38.4150720Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.4150873Z                     auto tmp1 = static_cast<float>(i0);
2022-11-23T02:04:38.4151007Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:38.4151139Z                     out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.4151241Z                 }
2022-11-23T02:04:38.4151318Z             }
2022-11-23T02:04:38.4151414Z         }
2022-11-23T02:04:38.4151530Z         #pragma omp for 
2022-11-23T02:04:38.4151654Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.4151748Z         {
2022-11-23T02:04:38.4151868Z             #pragma GCC ivdep
2022-11-23T02:04:38.4151971Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:38.4152072Z             {
2022-11-23T02:04:38.4152169Z                 {
2022-11-23T02:04:38.4152274Z                     {
2022-11-23T02:04:38.4152431Z                         auto tmp0 = out_ptr0[i1 + (8*i0)];
2022-11-23T02:04:38.4152664Z                         auto tmp1 = static_cast<long>(10 + i1);
2022-11-23T02:04:38.4152822Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T02:04:38.4152936Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:38.4153081Z                         out_ptr1[i1 + (8*i0)] = tmp3;
2022-11-23T02:04:38.4153183Z                     }
2022-11-23T02:04:38.4153286Z                 }
2022-11-23T02:04:38.4153388Z             }
2022-11-23T02:04:38.4153484Z         }
2022-11-23T02:04:38.4153582Z     }
2022-11-23T02:04:38.4153656Z }
2022-11-23T02:04:38.4153780Z ''')
2022-11-23T02:04:38.4153800Z 
2022-11-23T02:04:38.4153818Z 
2022-11-23T02:04:38.4153953Z async_compile.wait(globals())
2022-11-23T02:04:38.4154064Z del async_compile
2022-11-23T02:04:38.4154084Z 
2022-11-23T02:04:38.4154190Z def call(args):
2022-11-23T02:04:38.4154297Z     arg0_1, = args
2022-11-23T02:04:38.4154405Z     args.clear()
2022-11-23T02:04:38.4154658Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4154935Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4155163Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.4155270Z     del arg0_1
2022-11-23T02:04:38.4155450Z     return (buf0, buf1, )
2022-11-23T02:04:38.4155472Z 
2022-11-23T02:04:38.4155490Z 
2022-11-23T02:04:38.4155612Z if __name__ == "__main__":
2022-11-23T02:04:38.4155781Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4155955Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4156208Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4156365Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.4156385Z 
2022-11-23T02:04:38.4156490Z ok (2.632s)
2022-11-23T02:04:38.4156911Z   test_arange2_cpu (__main__.CpuTests) ... [2022-11-23 01:50:36,712] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4157350Z [2022-11-23 01:50:36,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4157656Z [2022-11-23 01:50:36,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4158002Z [2022-11-23 01:50:36,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4158372Z [2022-11-23 01:50:36,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4158809Z [2022-11-23 01:50:36,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4159271Z [2022-11-23 01:50:36,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4159686Z [2022-11-23 01:50:36,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4160198Z [2022-11-23 01:50:36,714] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115ac30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 887> 
2022-11-23T02:04:38.4160339Z  888           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.4160479Z               2 LOAD_ATTR                1 (arange)
2022-11-23T02:04:38.4160616Z               4 LOAD_CONST               1 (8)
2022-11-23T02:04:38.4160750Z               6 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4160884Z               8 LOAD_ATTR                2 (device)
2022-11-23T02:04:38.4161095Z              10 LOAD_CONST               2 (('device',))
2022-11-23T02:04:38.4161213Z              12 CALL_FUNCTION_KW         2
2022-11-23T02:04:38.4161347Z              14 STORE_FAST               1 (rng1)
2022-11-23T02:04:38.4161426Z 
2022-11-23T02:04:38.4161566Z 889          16 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4161699Z              18 LOAD_FAST                1 (rng1)
2022-11-23T02:04:38.4161811Z              20 BINARY_ADD
2022-11-23T02:04:38.4161947Z              22 BUILD_TUPLE              1
2022-11-23T02:04:38.4162061Z              24 RETURN_VALUE
2022-11-23T02:04:38.4162136Z  
2022-11-23T02:04:38.4162175Z 
2022-11-23T02:04:38.4162582Z [2022-11-23 01:50:36,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:888
2022-11-23T02:04:38.4162884Z [2022-11-23 01:50:36,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.4163380Z [2022-11-23 01:50:36,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.4163816Z [2022-11-23 01:50:36,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.4164348Z [2022-11-23 01:50:36,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int)]
2022-11-23T02:04:38.4164883Z [2022-11-23 01:50:36,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:38.4165429Z [2022-11-23 01:50:36,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T02:04:38.4166023Z [2022-11-23 01:50:36,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:38.4166365Z [2022-11-23 01:50:36,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng1 [TensorVariable()]
2022-11-23T02:04:38.4166795Z [2022-11-23 01:50:36,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:889
2022-11-23T02:04:38.4167085Z [2022-11-23 01:50:36,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:38.4167391Z [2022-11-23 01:50:36,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng1 [TensorVariable()]
2022-11-23T02:04:38.4167765Z [2022-11-23 01:50:36,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4168097Z [2022-11-23 01:50:36,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.4168430Z [2022-11-23 01:50:36,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.4168941Z [2022-11-23 01:50:36,720] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115ac30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 887>
2022-11-23T02:04:38.4169280Z [2022-11-23 01:50:36,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.4169602Z [2022-11-23 01:50:36,720] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4169946Z [2022-11-23 01:50:36,722] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4170292Z [2022-11-23 01:50:36,727] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4170558Z [2022-11-23 01:50:36,728] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4170730Z  __compiled_fn_18 <eval_with_key>.122 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4170863Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4171320Z call_function, arange, <built-in method arange of type object at 0x7fa5855aec60>, (8,), {'device': device(type='cpu')}
2022-11-23T02:04:38.4171571Z call_function, add, <built-in function add>, (ex_0_, arange), {}
2022-11-23T02:04:38.4171718Z output, output, output, ((add,),), {}
2022-11-23T02:04:38.4171738Z 
2022-11-23T02:04:38.4172181Z [2022-11-23 01:50:36,728] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4172320Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4172458Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4172565Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4172703Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4172830Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4172959Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4173081Z              12 RETURN_VALUE
2022-11-23T02:04:38.4173101Z 
2022-11-23T02:04:38.4173197Z  
2022-11-23T02:04:38.4173635Z [2022-11-23 01:50:36,728] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4173870Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_18)
2022-11-23T02:04:38.4173993Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4174125Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4174239Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4174369Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.4174523Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.4174672Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4174805Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4174899Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.4175029Z              18 BUILD_TUPLE              1
2022-11-23T02:04:38.4175271Z              20 RETURN_VALUE
2022-11-23T02:04:38.4175294Z 
2022-11-23T02:04:38.4175396Z  
2022-11-23T02:04:38.4175661Z [2022-11-23 01:50:36,730] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4175768Z  - 
2022-11-23T02:04:38.4175943Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4176520Z             {
2022-11-23T02:04:38.4176890Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4177325Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.4177599Z                 'obj_weakref': None
2022-11-23T02:04:38.4178123Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4178278Z             }
2022-11-23T02:04:38.4178404Z             
2022-11-23T02:04:38.4178495Z  - 
2022-11-23T02:04:38.4178672Z             local 'ex[0]' TYPE_MATCH
2022-11-23T02:04:38.4178771Z             {
2022-11-23T02:04:38.4178967Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T02:04:38.4179212Z                 'code': ['___check_type_id(ex[0], 93849142100368)'],
2022-11-23T02:04:38.4179497Z                 'obj_weakref': <weakref at 0x7fa550111b70; to 'Tensor' at 0x7fa5500c66b0>
2022-11-23T02:04:38.4179849Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4179929Z             }
2022-11-23T02:04:38.4180030Z             
2022-11-23T02:04:38.4180143Z  - 
2022-11-23T02:04:38.4180320Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4180420Z             {
2022-11-23T02:04:38.4180620Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4180775Z                 'code': None,
2022-11-23T02:04:38.4181043Z                 'obj_weakref': <weakref at 0x7fa550111b70; to 'Tensor' at 0x7fa5500c66b0>
2022-11-23T02:04:38.4181391Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4181682Z             }
2022-11-23T02:04:38.4181778Z             
2022-11-23T02:04:38.4181888Z  - 
2022-11-23T02:04:38.4182072Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4182171Z             {
2022-11-23T02:04:38.4182345Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4182584Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.4182760Z                 'obj_weakref': None
2022-11-23T02:04:38.4183070Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4183170Z             }
2022-11-23T02:04:38.4183267Z             
2022-11-23T02:04:38.4183373Z  - 
2022-11-23T02:04:38.4183524Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4183623Z             {
2022-11-23T02:04:38.4183820Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4184121Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4184294Z                 'obj_weakref': None
2022-11-23T02:04:38.4184652Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4184754Z             }
2022-11-23T02:04:38.4184829Z             
2022-11-23T02:04:38.4185014Z  - 
2022-11-23T02:04:38.4185218Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.4185315Z             {
2022-11-23T02:04:38.4185487Z                 'guard_types': None,
2022-11-23T02:04:38.4185644Z                 'code': None,
2022-11-23T02:04:38.4185812Z                 'obj_weakref': None
2022-11-23T02:04:38.4185964Z                 'guarded_class': None
2022-11-23T02:04:38.4186063Z             }
2022-11-23T02:04:38.4186159Z             
2022-11-23T02:04:38.4186518Z [2022-11-23 01:50:36,739] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 17
2022-11-23T02:04:38.4187015Z [2022-11-23 01:50:39,345] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kl/ckl5xptqzrsqvjpkuvil7yoolkcwea2va2lwlvlkpsblc377rm6q.py
2022-11-23T02:04:38.4187380Z [2022-11-23 01:50:39,346] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 17
2022-11-23T02:04:38.4187405Z 
2022-11-23T02:04:38.4187547Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4187661Z import torch
2022-11-23T02:04:38.4187747Z import random
2022-11-23T02:04:38.4187910Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4188082Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4188101Z 
2022-11-23T02:04:38.4188225Z aten = torch.ops.aten
2022-11-23T02:04:38.4188413Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4188549Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4188568Z 
2022-11-23T02:04:38.4188587Z 
2022-11-23T02:04:38.4188779Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.4189063Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.4189217Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:38.4189358Z                        long* __restrict__ out_ptr0)
2022-11-23T02:04:38.4189454Z {
2022-11-23T02:04:38.4189598Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4189698Z     {
2022-11-23T02:04:38.4189815Z         #pragma omp for 
2022-11-23T02:04:38.4189937Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.4190016Z         {
2022-11-23T02:04:38.4190138Z             #pragma GCC ivdep
2022-11-23T02:04:38.4190269Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:38.4190365Z             {
2022-11-23T02:04:38.4190468Z                 {
2022-11-23T02:04:38.4190568Z                     {
2022-11-23T02:04:38.4190700Z                         auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:38.4190857Z                         auto tmp1 = static_cast<long>(i1);
2022-11-23T02:04:38.4190996Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.4191209Z                         out_ptr0[i1 + (8*i0)] = tmp2;
2022-11-23T02:04:38.4191312Z                     }
2022-11-23T02:04:38.4191415Z                 }
2022-11-23T02:04:38.4191514Z             }
2022-11-23T02:04:38.4191591Z         }
2022-11-23T02:04:38.4191687Z     }
2022-11-23T02:04:38.4191785Z }
2022-11-23T02:04:38.4191909Z ''')
2022-11-23T02:04:38.4191929Z 
2022-11-23T02:04:38.4191948Z 
2022-11-23T02:04:38.4192163Z async_compile.wait(globals())
2022-11-23T02:04:38.4192279Z del async_compile
2022-11-23T02:04:38.4192298Z 
2022-11-23T02:04:38.4192409Z def call(args):
2022-11-23T02:04:38.4192516Z     arg0_1, = args
2022-11-23T02:04:38.4192606Z     args.clear()
2022-11-23T02:04:38.4192878Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.4193070Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.4193174Z     del arg0_1
2022-11-23T02:04:38.4193285Z     return (buf0, )
2022-11-23T02:04:38.4193304Z 
2022-11-23T02:04:38.4193326Z 
2022-11-23T02:04:38.4193443Z if __name__ == "__main__":
2022-11-23T02:04:38.4193605Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4193760Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4194085Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.4194253Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.4194272Z 
2022-11-23T02:04:38.4194379Z ok (2.639s)
2022-11-23T02:04:38.4194795Z   test_arange3_cpu (__main__.CpuTests) ... [2022-11-23 01:50:39,352] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4195217Z [2022-11-23 01:50:39,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4195515Z [2022-11-23 01:50:39,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4195865Z [2022-11-23 01:50:39,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4196243Z [2022-11-23 01:50:39,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4196660Z [2022-11-23 01:50:39,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4197124Z [2022-11-23 01:50:39,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4197554Z [2022-11-23 01:50:39,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4198052Z [2022-11-23 01:50:39,353] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 894> 
2022-11-23T02:04:38.4198193Z  895           0 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4198333Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.4198467Z               4 LOAD_ATTR                1 (ops)
2022-11-23T02:04:38.4198607Z               6 LOAD_ATTR                2 (aten)
2022-11-23T02:04:38.4198745Z               8 LOAD_ATTR                3 (arange)
2022-11-23T02:04:38.4198867Z              10 LOAD_ATTR                4 (start_step)
2022-11-23T02:04:38.4198887Z 
2022-11-23T02:04:38.4199018Z 896          12 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4199156Z              14 LOAD_CONST               2 (53)
2022-11-23T02:04:38.4199287Z              16 LOAD_CONST               3 (4)
2022-11-23T02:04:38.4199422Z              18 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.4199552Z              20 LOAD_ATTR                5 (int64)
2022-11-23T02:04:38.4199683Z              22 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4199796Z              24 LOAD_ATTR                6 (device)
2022-11-23T02:04:38.4199897Z 
2022-11-23T02:04:38.4200114Z 895          26 LOAD_CONST               4 (('dtype', 'device'))
2022-11-23T02:04:38.4200248Z              28 CALL_FUNCTION_KW         5
2022-11-23T02:04:38.4200360Z              30 BINARY_ADD
2022-11-23T02:04:38.4200483Z              32 RETURN_VALUE
2022-11-23T02:04:38.4200578Z  
2022-11-23T02:04:38.4200597Z 
2022-11-23T02:04:38.4201027Z [2022-11-23 01:50:39,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:895
2022-11-23T02:04:38.4201315Z [2022-11-23 01:50:39,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:38.4201652Z [2022-11-23 01:50:39,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:38.4202160Z [2022-11-23 01:50:39,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.4202594Z [2022-11-23 01:50:39,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TensorVariable(), TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:38.4203105Z [2022-11-23 01:50:39,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4203518Z [2022-11-23 01:50:39,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR start_step [TensorVariable(), TorchVariable(aten.arange)]
2022-11-23T02:04:38.4203942Z [2022-11-23 01:50:39,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:896
2022-11-23T02:04:38.4204345Z [2022-11-23 01:50:39,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.arange.start_step)]
2022-11-23T02:04:38.4204799Z [2022-11-23 01:50:39,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 53 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int)]
2022-11-23T02:04:38.4205308Z [2022-11-23 01:50:39,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4205872Z [2022-11-23 01:50:39,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4206637Z [2022-11-23 01:50:39,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR int64 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.4207237Z [2022-11-23 01:50:39,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T02:04:38.4207892Z [2022-11-23 01:50:39,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T02:04:38.4208324Z [2022-11-23 01:50:39,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:895
2022-11-23T02:04:38.4209008Z [2022-11-23 01:50:39,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)]
2022-11-23T02:04:38.4209718Z [2022-11-23 01:50:39,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:38.4210188Z [2022-11-23 01:50:39,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4210528Z [2022-11-23 01:50:39,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4211034Z [2022-11-23 01:50:39,370] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 894>
2022-11-23T02:04:38.4211375Z [2022-11-23 01:50:39,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4211695Z [2022-11-23 01:50:39,370] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4212049Z [2022-11-23 01:50:39,371] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4212388Z [2022-11-23 01:50:39,377] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4212705Z [2022-11-23 01:50:39,377] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4212903Z  __compiled_fn_19 <eval_with_key>.128 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4213017Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4213398Z call_function, arange_start_step, aten.arange.start_step, (0, 53, 4), {'dtype': torch.int64, 'device': device(type='cpu')}
2022-11-23T02:04:38.4213673Z call_function, add, <built-in function add>, (ex_0_, arange_start_step), {}
2022-11-23T02:04:38.4213818Z output, output, output, ((add,),), {}
2022-11-23T02:04:38.4213841Z 
2022-11-23T02:04:38.4214284Z [2022-11-23 01:50:39,378] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4214432Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4214571Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4214705Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4214847Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4214956Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4215085Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4215204Z              12 RETURN_VALUE
2022-11-23T02:04:38.4215224Z 
2022-11-23T02:04:38.4215318Z  
2022-11-23T02:04:38.4215751Z [2022-11-23 01:50:39,378] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4215908Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_19)
2022-11-23T02:04:38.4216550Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4216751Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4216952Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4217157Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.4217366Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.4217546Z              12 RETURN_VALUE
2022-11-23T02:04:38.4217581Z 
2022-11-23T02:04:38.4217734Z  
2022-11-23T02:04:38.4218181Z [2022-11-23 01:50:39,379] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4218327Z  - 
2022-11-23T02:04:38.4218498Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4218597Z             {
2022-11-23T02:04:38.4218793Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4219049Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.4219217Z                 'obj_weakref': None
2022-11-23T02:04:38.4219525Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4219624Z             }
2022-11-23T02:04:38.4219892Z             
2022-11-23T02:04:38.4220001Z  - 
2022-11-23T02:04:38.4220174Z             local 'ex[0]' TYPE_MATCH
2022-11-23T02:04:38.4220268Z             {
2022-11-23T02:04:38.4220464Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T02:04:38.4220700Z                 'code': ['___check_type_id(ex[0], 93849142100368)'],
2022-11-23T02:04:38.4220970Z                 'obj_weakref': <weakref at 0x7fa55a006070; to 'Tensor' at 0x7fa550112840>
2022-11-23T02:04:38.4221313Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4221410Z             }
2022-11-23T02:04:38.4221505Z             
2022-11-23T02:04:38.4221611Z  - 
2022-11-23T02:04:38.4221784Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4221879Z             {
2022-11-23T02:04:38.4222058Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4222211Z                 'code': None,
2022-11-23T02:04:38.4222494Z                 'obj_weakref': <weakref at 0x7fa55a006070; to 'Tensor' at 0x7fa550112840>
2022-11-23T02:04:38.4222840Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4222934Z             }
2022-11-23T02:04:38.4223131Z             
2022-11-23T02:04:38.4223242Z  - 
2022-11-23T02:04:38.4223425Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4223504Z             {
2022-11-23T02:04:38.4223688Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4223924Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.4224089Z                 'obj_weakref': None
2022-11-23T02:04:38.4224398Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4224492Z             }
2022-11-23T02:04:38.4224588Z             
2022-11-23T02:04:38.4224674Z  - 
2022-11-23T02:04:38.4224844Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4224945Z             {
2022-11-23T02:04:38.4225138Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4225431Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4225598Z                 'obj_weakref': None
2022-11-23T02:04:38.4225899Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4225977Z             }
2022-11-23T02:04:38.4226070Z             
2022-11-23T02:04:38.4226175Z  - 
2022-11-23T02:04:38.4226360Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.4226453Z             {
2022-11-23T02:04:38.4226623Z                 'guard_types': None,
2022-11-23T02:04:38.4226759Z                 'code': None,
2022-11-23T02:04:38.4226924Z                 'obj_weakref': None
2022-11-23T02:04:38.4227093Z                 'guarded_class': None
2022-11-23T02:04:38.4227187Z             }
2022-11-23T02:04:38.4227281Z             
2022-11-23T02:04:38.4227384Z  - 
2022-11-23T02:04:38.4227594Z             global 'torch.int64' CONSTANT_MATCH
2022-11-23T02:04:38.4227672Z             {
2022-11-23T02:04:38.4227868Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:38.4228100Z                 'code': ["str(torch.int64) == 'torch.int64'"],
2022-11-23T02:04:38.4228270Z                 'obj_weakref': None
2022-11-23T02:04:38.4228574Z                 'guarded_class': <weakref at 0x7fa5bc5e1e40; to 'type' at 0x7fa5855aac80 (dtype)>
2022-11-23T02:04:38.4228668Z             }
2022-11-23T02:04:38.4228760Z             
2022-11-23T02:04:38.4229092Z [2022-11-23 01:50:39,391] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 18
2022-11-23T02:04:38.4229582Z [2022-11-23 01:50:41,938] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5f/c5f6jqfhagonihk75v743lcx6tubj43wrsn7jzlxskwc627thubx.py
2022-11-23T02:04:38.4229942Z [2022-11-23 01:50:41,939] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 18
2022-11-23T02:04:38.4230029Z 
2022-11-23T02:04:38.4230172Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4230281Z import torch
2022-11-23T02:04:38.4230388Z import random
2022-11-23T02:04:38.4230558Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4230734Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4230753Z 
2022-11-23T02:04:38.4230852Z aten = torch.ops.aten
2022-11-23T02:04:38.4231043Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4231178Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4231198Z 
2022-11-23T02:04:38.4231217Z 
2022-11-23T02:04:38.4231410Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.4231698Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.4231869Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.4232016Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.4232119Z {
2022-11-23T02:04:38.4232244Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4232341Z     {
2022-11-23T02:04:38.4232464Z         #pragma omp for 
2022-11-23T02:04:38.4232587Z         for(long i0=0; i0<14; i0+=1)
2022-11-23T02:04:38.4232682Z         {
2022-11-23T02:04:38.4232831Z             {
2022-11-23T02:04:38.4232937Z                 {
2022-11-23T02:04:38.4233056Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.4233214Z                     auto tmp1 = static_cast<long>(4*i0);
2022-11-23T02:04:38.4233372Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T02:04:38.4233505Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:38.4233630Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:38.4233729Z                 }
2022-11-23T02:04:38.4233831Z             }
2022-11-23T02:04:38.4233908Z         }
2022-11-23T02:04:38.4234006Z     }
2022-11-23T02:04:38.4234100Z }
2022-11-23T02:04:38.4234231Z ''')
2022-11-23T02:04:38.4234251Z 
2022-11-23T02:04:38.4234273Z 
2022-11-23T02:04:38.4234408Z async_compile.wait(globals())
2022-11-23T02:04:38.4234516Z del async_compile
2022-11-23T02:04:38.4234536Z 
2022-11-23T02:04:38.4234642Z def call(args):
2022-11-23T02:04:38.4234727Z     arg0_1, = args
2022-11-23T02:04:38.4234836Z     args.clear()
2022-11-23T02:04:38.4235114Z     buf0 = empty_strided((14, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4235306Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.4235411Z     del arg0_1
2022-11-23T02:04:38.4235520Z     return (buf0, )
2022-11-23T02:04:38.4235542Z 
2022-11-23T02:04:38.4235560Z 
2022-11-23T02:04:38.4235674Z if __name__ == "__main__":
2022-11-23T02:04:38.4235845Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4236003Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4236276Z     arg0_1 = rand_strided((14, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4236432Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.4236455Z 
2022-11-23T02:04:38.4236562Z ok (2.593s)
2022-11-23T02:04:38.4236977Z   test_arange4_cpu (__main__.CpuTests) ... [2022-11-23 01:50:41,945] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4237410Z [2022-11-23 01:50:41,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4237720Z [2022-11-23 01:50:41,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4238071Z [2022-11-23 01:50:41,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4238425Z [2022-11-23 01:50:41,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4238854Z [2022-11-23 01:50:41,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4239397Z [2022-11-23 01:50:41,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4239840Z [2022-11-23 01:50:41,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4240347Z [2022-11-23 01:50:41,947] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 902> 
2022-11-23T02:04:38.4240486Z  903           0 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4240630Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.4240770Z               4 LOAD_ATTR                1 (arange)
2022-11-23T02:04:38.4240900Z               6 LOAD_CONST               1 (512)
2022-11-23T02:04:38.4241080Z               8 LOAD_CONST               2 (-512)
2022-11-23T02:04:38.4241284Z              10 LOAD_CONST               3 (-1.0)
2022-11-23T02:04:38.4241419Z              12 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4241556Z              14 LOAD_ATTR                2 (device)
2022-11-23T02:04:38.4241824Z              16 LOAD_CONST               4 (('device',))
2022-11-23T02:04:38.4241962Z              18 CALL_FUNCTION_KW         4
2022-11-23T02:04:38.4242082Z              20 BINARY_SUBTRACT
2022-11-23T02:04:38.4242177Z              22 RETURN_VALUE
2022-11-23T02:04:38.4242274Z  
2022-11-23T02:04:38.4242293Z 
2022-11-23T02:04:38.4242726Z [2022-11-23 01:50:41,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:903
2022-11-23T02:04:38.4243017Z [2022-11-23 01:50:41,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:38.4243352Z [2022-11-23 01:50:41,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:38.4243890Z [2022-11-23 01:50:41,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.4244362Z [2022-11-23 01:50:41,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 512 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.4244890Z [2022-11-23 01:50:41,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -512 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int)]
2022-11-23T02:04:38.4245470Z [2022-11-23 01:50:41,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.0 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4246087Z [2022-11-23 01:50:41,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T02:04:38.4246772Z [2022-11-23 01:50:41,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TensorVariable()]
2022-11-23T02:04:38.4247450Z [2022-11-23 01:50:41,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TorchVariable(cpu)]
2022-11-23T02:04:38.4248179Z [2022-11-23 01:50:41,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:38.4248643Z [2022-11-23 01:50:41,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4248967Z [2022-11-23 01:50:41,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4249483Z [2022-11-23 01:50:41,953] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 902>
2022-11-23T02:04:38.4249821Z [2022-11-23 01:50:41,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4250144Z [2022-11-23 01:50:41,953] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4250502Z [2022-11-23 01:50:41,954] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4250851Z [2022-11-23 01:50:41,960] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4251115Z [2022-11-23 01:50:41,960] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4251366Z  __compiled_fn_20 <eval_with_key>.134 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4251509Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4251883Z call_function, arange, <built-in method arange of type object at 0x7fa5855aec60>, (512, -512, -1.0), {'device': device(type='cpu')}
2022-11-23T02:04:38.4252140Z call_function, sub, <built-in function sub>, (ex_0_, arange), {}
2022-11-23T02:04:38.4252280Z output, output, output, ((sub,),), {}
2022-11-23T02:04:38.4252302Z 
2022-11-23T02:04:38.4252741Z [2022-11-23 01:50:41,961] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4252884Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4253025Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4253153Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4253289Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4253394Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4253529Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4253645Z              12 RETURN_VALUE
2022-11-23T02:04:38.4253665Z 
2022-11-23T02:04:38.4253761Z  
2022-11-23T02:04:38.4254194Z [2022-11-23 01:50:41,961] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4254356Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_20)
2022-11-23T02:04:38.4254488Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4254619Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4254717Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4254847Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.4254983Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.4255102Z              12 RETURN_VALUE
2022-11-23T02:04:38.4255121Z 
2022-11-23T02:04:38.4255215Z  
2022-11-23T02:04:38.4255479Z [2022-11-23 01:50:41,962] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4255592Z  - 
2022-11-23T02:04:38.4255742Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4255846Z             {
2022-11-23T02:04:38.4256658Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4257138Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.4257324Z                 'obj_weakref': None
2022-11-23T02:04:38.4257632Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4257730Z             }
2022-11-23T02:04:38.4257807Z             
2022-11-23T02:04:38.4257919Z  - 
2022-11-23T02:04:38.4258093Z             local 'ex[0]' TYPE_MATCH
2022-11-23T02:04:38.4258364Z             {
2022-11-23T02:04:38.4258569Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T02:04:38.4258798Z                 'code': ['___check_type_id(ex[0], 93849142100368)'],
2022-11-23T02:04:38.4259088Z                 'obj_weakref': <weakref at 0x7fa550345580; to 'Tensor' at 0x7fa61aa29d00>
2022-11-23T02:04:38.4259411Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4259510Z             }
2022-11-23T02:04:38.4259608Z             
2022-11-23T02:04:38.4259714Z  - 
2022-11-23T02:04:38.4259890Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4259989Z             {
2022-11-23T02:04:38.4260186Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4260320Z                 'code': None,
2022-11-23T02:04:38.4260604Z                 'obj_weakref': <weakref at 0x7fa550345580; to 'Tensor' at 0x7fa61aa29d00>
2022-11-23T02:04:38.4260941Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4261039Z             }
2022-11-23T02:04:38.4261134Z             
2022-11-23T02:04:38.4261240Z  - 
2022-11-23T02:04:38.4261422Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4261575Z             {
2022-11-23T02:04:38.4261774Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4262004Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.4262169Z                 'obj_weakref': None
2022-11-23T02:04:38.4262477Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4262573Z             }
2022-11-23T02:04:38.4262666Z             
2022-11-23T02:04:38.4262752Z  - 
2022-11-23T02:04:38.4262922Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4263020Z             {
2022-11-23T02:04:38.4263208Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4263502Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4263674Z                 'obj_weakref': None
2022-11-23T02:04:38.4263974Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4264056Z             }
2022-11-23T02:04:38.4264154Z             
2022-11-23T02:04:38.4264255Z  - 
2022-11-23T02:04:38.4264440Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.4264537Z             {
2022-11-23T02:04:38.4264707Z                 'guard_types': None,
2022-11-23T02:04:38.4264856Z                 'code': None,
2022-11-23T02:04:38.4265004Z                 'obj_weakref': None
2022-11-23T02:04:38.4265170Z                 'guarded_class': None
2022-11-23T02:04:38.4265263Z             }
2022-11-23T02:04:38.4265356Z             
2022-11-23T02:04:38.4265704Z [2022-11-23 01:50:41,972] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 19
2022-11-23T02:04:38.4266198Z [2022-11-23 01:50:44,573] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/je/cjeecvr5citl5ypo3djvjmpbe6s43y3j5jswceqt3b6r2qzekjm6.py
2022-11-23T02:04:38.4266561Z [2022-11-23 01:50:44,573] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 19
2022-11-23T02:04:38.4266587Z 
2022-11-23T02:04:38.4266725Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4266812Z import torch
2022-11-23T02:04:38.4266914Z import random
2022-11-23T02:04:38.4267078Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4267247Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4267267Z 
2022-11-23T02:04:38.4267380Z aten = torch.ops.aten
2022-11-23T02:04:38.4267566Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4267699Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4267719Z 
2022-11-23T02:04:38.4267737Z 
2022-11-23T02:04:38.4267927Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.4268262Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.4268430Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.4268571Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.4268662Z {
2022-11-23T02:04:38.4268807Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4268901Z     {
2022-11-23T02:04:38.4269017Z         #pragma omp for 
2022-11-23T02:04:38.4269120Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T02:04:38.4269214Z         {
2022-11-23T02:04:38.4269308Z             {
2022-11-23T02:04:38.4269404Z                 {
2022-11-23T02:04:38.4269536Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.4269784Z                     auto tmp1 = static_cast<long>(512 + ((-1)*i0));
2022-11-23T02:04:38.4269939Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T02:04:38.4270112Z                     auto tmp3 = tmp0 - tmp2;
2022-11-23T02:04:38.4270238Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:38.4270338Z                 }
2022-11-23T02:04:38.4270433Z             }
2022-11-23T02:04:38.4270526Z         }
2022-11-23T02:04:38.4270619Z     }
2022-11-23T02:04:38.4270692Z }
2022-11-23T02:04:38.4270808Z ''')
2022-11-23T02:04:38.4270831Z 
2022-11-23T02:04:38.4270905Z 
2022-11-23T02:04:38.4271042Z async_compile.wait(globals())
2022-11-23T02:04:38.4271151Z del async_compile
2022-11-23T02:04:38.4271169Z 
2022-11-23T02:04:38.4271272Z def call(args):
2022-11-23T02:04:38.4271374Z     arg0_1, = args
2022-11-23T02:04:38.4271479Z     args.clear()
2022-11-23T02:04:38.4271754Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4271924Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.4272026Z     del arg0_1
2022-11-23T02:04:38.4272133Z     return (buf0, )
2022-11-23T02:04:38.4272152Z 
2022-11-23T02:04:38.4272169Z 
2022-11-23T02:04:38.4272280Z if __name__ == "__main__":
2022-11-23T02:04:38.4272443Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4272614Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4272885Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4273041Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.4273061Z 
2022-11-23T02:04:38.4273144Z ok (2.634s)
2022-11-23T02:04:38.4273567Z   test_argmax_argmin1_cpu (__main__.CpuTests) ... [2022-11-23 01:50:44,587] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4273995Z [2022-11-23 01:50:44,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4274290Z [2022-11-23 01:50:44,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4274691Z [2022-11-23 01:50:44,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4275068Z [2022-11-23 01:50:44,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4275499Z [2022-11-23 01:50:44,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4275958Z [2022-11-23 01:50:44,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4276386Z [2022-11-23 01:50:44,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4276886Z [2022-11-23 01:50:44,588] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f7b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4247> 
2022-11-23T02:04:38.4277009Z  4248           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4277255Z                2 LOAD_METHOD              1 (argmax)
2022-11-23T02:04:38.4277384Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4277511Z                6 CALL_METHOD              1
2022-11-23T02:04:38.4277648Z                8 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4277782Z               10 LOAD_METHOD              2 (argmin)
2022-11-23T02:04:38.4277912Z               12 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4278021Z               14 CALL_METHOD              1
2022-11-23T02:04:38.4278149Z               16 BUILD_TUPLE              2
2022-11-23T02:04:38.4278265Z               18 RETURN_VALUE
2022-11-23T02:04:38.4278356Z  
2022-11-23T02:04:38.4278376Z 
2022-11-23T02:04:38.4278800Z [2022-11-23 01:50:44,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4248
2022-11-23T02:04:38.4279096Z [2022-11-23 01:50:44,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.4279513Z [2022-11-23 01:50:44,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4279907Z [2022-11-23 01:50:44,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.argmax)]
2022-11-23T02:04:38.4280304Z [2022-11-23 01:50:44,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T02:04:38.4280618Z [2022-11-23 01:50:44,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.4281062Z [2022-11-23 01:50:44,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4281439Z [2022-11-23 01:50:44,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T02:04:38.4281865Z [2022-11-23 01:50:44,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T02:04:38.4282227Z [2022-11-23 01:50:44,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4282553Z [2022-11-23 01:50:44,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.4283057Z [2022-11-23 01:50:44,609] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f7b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4247>
2022-11-23T02:04:38.4283387Z [2022-11-23 01:50:44,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.4283704Z [2022-11-23 01:50:44,609] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4284044Z [2022-11-23 01:50:44,611] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4284454Z [2022-11-23 01:50:44,615] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4284723Z [2022-11-23 01:50:44,616] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4284916Z  __compiled_fn_21 <eval_with_key>.140 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4285043Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4285197Z call_function, argmax, aten.argmax, (ex_0_,), {}
2022-11-23T02:04:38.4285350Z call_function, argmin, aten.argmin, (ex_0_,), {}
2022-11-23T02:04:38.4285505Z output, output, output, ((argmax, argmin),), {}
2022-11-23T02:04:38.4285525Z 
2022-11-23T02:04:38.4285961Z [2022-11-23 01:50:44,616] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4286080Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4286278Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4286403Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4286535Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4286656Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4286786Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4286901Z              12 RETURN_VALUE
2022-11-23T02:04:38.4286921Z 
2022-11-23T02:04:38.4287012Z  
2022-11-23T02:04:38.4287429Z [2022-11-23 01:50:44,616] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4287581Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_21)
2022-11-23T02:04:38.4287712Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4287838Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4287952Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4288077Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.4288230Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.4288356Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4288484Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4288709Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.4288860Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4288986Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.4289097Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.4289223Z              24 BUILD_TUPLE              2
2022-11-23T02:04:38.4289315Z              26 RETURN_VALUE
2022-11-23T02:04:38.4289351Z 
2022-11-23T02:04:38.4289425Z  
2022-11-23T02:04:38.4289688Z [2022-11-23 01:50:44,618] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4289797Z  - 
2022-11-23T02:04:38.4289962Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4290057Z             {
2022-11-23T02:04:38.4290252Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4290495Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.4290663Z                 'obj_weakref': None
2022-11-23T02:04:38.4291016Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4291113Z             }
2022-11-23T02:04:38.4291206Z             
2022-11-23T02:04:38.4291314Z  - 
2022-11-23T02:04:38.4291487Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4291564Z             {
2022-11-23T02:04:38.4291761Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4291911Z                 'code': None,
2022-11-23T02:04:38.4292195Z                 'obj_weakref': <weakref at 0x7fa5501b4770; to 'Tensor' at 0x7fa5501e5e40>
2022-11-23T02:04:38.4292535Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4292629Z             }
2022-11-23T02:04:38.4292726Z             
2022-11-23T02:04:38.4292817Z  - 
2022-11-23T02:04:38.4292999Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4293093Z             {
2022-11-23T02:04:38.4293280Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4293517Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.4293685Z                 'obj_weakref': None
2022-11-23T02:04:38.4293993Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4294087Z             }
2022-11-23T02:04:38.4294163Z             
2022-11-23T02:04:38.4294265Z  - 
2022-11-23T02:04:38.4294432Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4294525Z             {
2022-11-23T02:04:38.4294711Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4295000Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4295150Z                 'obj_weakref': None
2022-11-23T02:04:38.4295548Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4295643Z             }
2022-11-23T02:04:38.4295737Z             
2022-11-23T02:04:38.4295839Z  - 
2022-11-23T02:04:38.4296458Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.4296640Z             {
2022-11-23T02:04:38.4296923Z                 'guard_types': None,
2022-11-23T02:04:38.4297179Z                 'code': None,
2022-11-23T02:04:38.4297452Z                 'obj_weakref': None
2022-11-23T02:04:38.4297739Z                 'guarded_class': None
2022-11-23T02:04:38.4297890Z             }
2022-11-23T02:04:38.4298035Z             
2022-11-23T02:04:38.4298527Z [2022-11-23 01:50:44,626] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 20
2022-11-23T02:04:38.4299009Z [2022-11-23 01:50:47,235] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tj/ctjiuholvvrht5wevqbirgnrgwhk4xqtxjbstujxsg5jpky7qanb.py
2022-11-23T02:04:38.4299368Z [2022-11-23 01:50:47,235] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 20
2022-11-23T02:04:38.4299392Z 
2022-11-23T02:04:38.4299530Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4299635Z import torch
2022-11-23T02:04:38.4299894Z import random
2022-11-23T02:04:38.4300067Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4300235Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4300255Z 
2022-11-23T02:04:38.4300369Z aten = torch.ops.aten
2022-11-23T02:04:38.4300537Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4300673Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4300692Z 
2022-11-23T02:04:38.4300711Z 
2022-11-23T02:04:38.4300912Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.4301190Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.4301356Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.4301502Z                        long* __restrict__ out_ptr0,
2022-11-23T02:04:38.4301641Z                        long* __restrict__ out_ptr1)
2022-11-23T02:04:38.4301733Z {
2022-11-23T02:04:38.4301808Z     {
2022-11-23T02:04:38.4301904Z         {
2022-11-23T02:04:38.4302075Z             struct IndexValue_1 {size_t index; float value;};
2022-11-23T02:04:38.4302467Z             IndexValue_1 tmp1{0, -std::numeric_limits<float>::infinity()};
2022-11-23T02:04:38.4302662Z             #pragma omp declare reduction(argmax : struct IndexValue_1 :\
2022-11-23T02:04:38.4302869Z                 omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T02:04:38.4303073Z                 omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T02:04:38.4303388Z             	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T02:04:38.4303536Z             struct IndexValue_2 {size_t index; float value;};
2022-11-23T02:04:38.4303726Z             IndexValue_2 tmp2{0, std::numeric_limits<float>::infinity()};
2022-11-23T02:04:38.4303915Z             #pragma omp declare reduction(argmin : struct IndexValue_2 :\
2022-11-23T02:04:38.4304126Z                 omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T02:04:38.4304329Z                 omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T02:04:38.4304527Z             	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T02:04:38.4304676Z             #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4304772Z             {
2022-11-23T02:04:38.4304948Z                 #pragma omp for reduction(argmax:tmp1) reduction(argmin:tmp2) 
2022-11-23T02:04:38.4305079Z                 for(long i0=0; i0<524288; i0+=1)
2022-11-23T02:04:38.4305181Z                 {
2022-11-23T02:04:38.4305279Z                     {
2022-11-23T02:04:38.4305416Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.4305667Z                         if (tmp1.value < tmp0) {
2022-11-23T02:04:38.4305824Z                             tmp1.index = i0; tmp1.value = tmp0;
2022-11-23T02:04:38.4305912Z                         }
2022-11-23T02:04:38.4306050Z                         if (tmp2.value > tmp0) {
2022-11-23T02:04:38.4306207Z                             tmp2.index = i0; tmp2.value = tmp0;
2022-11-23T02:04:38.4306311Z                         }
2022-11-23T02:04:38.4306409Z                     }
2022-11-23T02:04:38.4306506Z                 }
2022-11-23T02:04:38.4306600Z             }
2022-11-23T02:04:38.4306707Z             out_ptr0[0] = tmp1.index;
2022-11-23T02:04:38.4306829Z             out_ptr1[0] = tmp2.index;
2022-11-23T02:04:38.4306926Z         }
2022-11-23T02:04:38.4307019Z     }
2022-11-23T02:04:38.4307111Z }
2022-11-23T02:04:38.4307236Z ''')
2022-11-23T02:04:38.4307258Z 
2022-11-23T02:04:38.4307276Z 
2022-11-23T02:04:38.4307406Z async_compile.wait(globals())
2022-11-23T02:04:38.4307501Z del async_compile
2022-11-23T02:04:38.4307538Z 
2022-11-23T02:04:38.4307625Z def call(args):
2022-11-23T02:04:38.4307728Z     arg0_1, = args
2022-11-23T02:04:38.4307830Z     args.clear()
2022-11-23T02:04:38.4308147Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.4308399Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.4308625Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.4308731Z     del arg0_1
2022-11-23T02:04:38.4308827Z     return (buf0, buf1, )
2022-11-23T02:04:38.4308846Z 
2022-11-23T02:04:38.4308864Z 
2022-11-23T02:04:38.4308975Z if __name__ == "__main__":
2022-11-23T02:04:38.4309136Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4309307Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4309602Z     arg0_1 = rand_strided((8, 256, 256), (65536, 256, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4309764Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.4309783Z 
2022-11-23T02:04:38.4309883Z ok (2.662s)
2022-11-23T02:04:38.4310311Z   test_argmax_argmin2_cpu (__main__.CpuTests) ... [2022-11-23 01:50:47,242] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4310721Z [2022-11-23 01:50:47,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4311020Z [2022-11-23 01:50:47,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4311360Z [2022-11-23 01:50:47,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4311731Z [2022-11-23 01:50:47,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4312154Z [2022-11-23 01:50:47,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4312621Z [2022-11-23 01:50:47,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4313052Z [2022-11-23 01:50:47,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4313552Z [2022-11-23 01:50:47,244] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f7b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4258> 
2022-11-23T02:04:38.4313688Z  4260           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4313824Z                2 LOAD_METHOD              1 (argmax)
2022-11-23T02:04:38.4313935Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4314063Z                6 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4314259Z                8 CALL_METHOD              2
2022-11-23T02:04:38.4314279Z 
2022-11-23T02:04:38.4314411Z 4261          10 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4314542Z               12 LOAD_METHOD              2 (argmin)
2022-11-23T02:04:38.4314671Z               14 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4314798Z               16 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4314906Z               18 CALL_METHOD              2
2022-11-23T02:04:38.4314944Z 
2022-11-23T02:04:38.4315068Z 4262          20 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4315190Z               22 LOAD_METHOD              1 (argmax)
2022-11-23T02:04:38.4315347Z               24 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4315447Z               26 LOAD_CONST               2 (1)
2022-11-23T02:04:38.4315575Z               28 CALL_METHOD              2
2022-11-23T02:04:38.4315595Z 
2022-11-23T02:04:38.4315725Z 4263          30 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4315861Z               32 LOAD_METHOD              2 (argmin)
2022-11-23T02:04:38.4315972Z               34 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4316097Z               36 LOAD_CONST               2 (1)
2022-11-23T02:04:38.4316221Z               38 CALL_METHOD              2
2022-11-23T02:04:38.4316362Z 
2022-11-23T02:04:38.4316496Z 4259          40 BUILD_TUPLE              4
2022-11-23T02:04:38.4316609Z               42 RETURN_VALUE
2022-11-23T02:04:38.4316700Z  
2022-11-23T02:04:38.4316719Z 
2022-11-23T02:04:38.4317152Z [2022-11-23 01:50:47,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4260
2022-11-23T02:04:38.4317453Z [2022-11-23 01:50:47,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.4317849Z [2022-11-23 01:50:47,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4318196Z [2022-11-23 01:50:47,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.argmax)]
2022-11-23T02:04:38.4318578Z [2022-11-23 01:50:47,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T02:04:38.4319024Z [2022-11-23 01:50:47,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.argmax), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4319446Z [2022-11-23 01:50:47,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4261
2022-11-23T02:04:38.4319776Z [2022-11-23 01:50:47,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.4320224Z [2022-11-23 01:50:47,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4320597Z [2022-11-23 01:50:47,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T02:04:38.4321014Z [2022-11-23 01:50:47,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T02:04:38.4321484Z [2022-11-23 01:50:47,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4321902Z [2022-11-23 01:50:47,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4262
2022-11-23T02:04:38.4322244Z [2022-11-23 01:50:47,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4322727Z [2022-11-23 01:50:47,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4323208Z [2022-11-23 01:50:47,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax)]
2022-11-23T02:04:38.4323661Z [2022-11-23 01:50:47,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T02:04:38.4324196Z [2022-11-23 01:50:47,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4324586Z [2022-11-23 01:50:47,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4263
2022-11-23T02:04:38.4324994Z [2022-11-23 01:50:47,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4325521Z [2022-11-23 01:50:47,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4326088Z [2022-11-23 01:50:47,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T02:04:38.4326574Z [2022-11-23 01:50:47,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T02:04:38.4327137Z [2022-11-23 01:50:47,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4327507Z [2022-11-23 01:50:47,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4259
2022-11-23T02:04:38.4327950Z [2022-11-23 01:50:47,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4328270Z [2022-11-23 01:50:47,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.4328783Z [2022-11-23 01:50:47,284] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f7b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4258>
2022-11-23T02:04:38.4329111Z [2022-11-23 01:50:47,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.4329429Z [2022-11-23 01:50:47,284] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4329773Z [2022-11-23 01:50:47,287] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4330114Z [2022-11-23 01:50:47,293] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4330384Z [2022-11-23 01:50:47,293] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4330574Z  __compiled_fn_22 <eval_with_key>.146 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4330707Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4330848Z call_function, argmax, aten.argmax, (ex_0_, 0), {}
2022-11-23T02:04:38.4330999Z call_function, argmin, aten.argmin, (ex_0_, 0), {}
2022-11-23T02:04:38.4331154Z call_function, argmax_1, aten.argmax, (ex_0_, 1), {}
2022-11-23T02:04:38.4331305Z call_function, argmin_1, aten.argmin, (ex_0_, 1), {}
2022-11-23T02:04:38.4331486Z output, output, output, ((argmax, argmin, argmax_1, argmin_1),), {}
2022-11-23T02:04:38.4331513Z 
2022-11-23T02:04:38.4331954Z [2022-11-23 01:50:47,294] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4332088Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4332296Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4332404Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4332538Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4332664Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4332793Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4332904Z              12 RETURN_VALUE
2022-11-23T02:04:38.4332924Z 
2022-11-23T02:04:38.4333013Z  
2022-11-23T02:04:38.4333456Z [2022-11-23 01:50:47,294] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4333613Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_22)
2022-11-23T02:04:38.4333727Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4333853Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4333966Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4334096Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.4334243Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.4334389Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4334571Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4334673Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.4334818Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4334945Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.4335055Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.4335198Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4335325Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:38.4335436Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.4335560Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4335687Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:38.4335800Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.4335936Z              36 BUILD_TUPLE              4
2022-11-23T02:04:38.4336485Z              38 RETURN_VALUE
2022-11-23T02:04:38.4336520Z 
2022-11-23T02:04:38.4336685Z  
2022-11-23T02:04:38.4337150Z [2022-11-23 01:50:47,295] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4337302Z  - 
2022-11-23T02:04:38.4337579Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4337736Z             {
2022-11-23T02:04:38.4338072Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4338342Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.4338510Z                 'obj_weakref': None
2022-11-23T02:04:38.4338815Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4338893Z             }
2022-11-23T02:04:38.4338987Z             
2022-11-23T02:04:38.4339090Z  - 
2022-11-23T02:04:38.4339265Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4339365Z             {
2022-11-23T02:04:38.4339562Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4339714Z                 'code': None,
2022-11-23T02:04:38.4339984Z                 'obj_weakref': <weakref at 0x7fa61a7b6de0; to 'Tensor' at 0x7fa61aa29d00>
2022-11-23T02:04:38.4340325Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4340421Z             }
2022-11-23T02:04:38.4340513Z             
2022-11-23T02:04:38.4340618Z  - 
2022-11-23T02:04:38.4340799Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4340892Z             {
2022-11-23T02:04:38.4341063Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4341294Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.4341462Z                 'obj_weakref': None
2022-11-23T02:04:38.4341770Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4342097Z             }
2022-11-23T02:04:38.4342191Z             
2022-11-23T02:04:38.4342299Z  - 
2022-11-23T02:04:38.4342453Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4342548Z             {
2022-11-23T02:04:38.4342740Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4343031Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4343195Z                 'obj_weakref': None
2022-11-23T02:04:38.4343494Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4343589Z             }
2022-11-23T02:04:38.4343665Z             
2022-11-23T02:04:38.4343767Z  - 
2022-11-23T02:04:38.4343950Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.4344046Z             {
2022-11-23T02:04:38.4344215Z                 'guard_types': None,
2022-11-23T02:04:38.4344365Z                 'code': None,
2022-11-23T02:04:38.4344534Z                 'obj_weakref': None
2022-11-23T02:04:38.4344685Z                 'guarded_class': None
2022-11-23T02:04:38.4344778Z             }
2022-11-23T02:04:38.4344871Z             
2022-11-23T02:04:38.4345297Z [2022-11-23 01:50:47,306] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 21
2022-11-23T02:04:38.4345796Z [2022-11-23 01:50:49,901] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2f/c2fz6vuehtpbidyviexgvqcli2akcaafvwvh4kei2iaihfo3qyjb.py
2022-11-23T02:04:38.4346150Z [2022-11-23 01:50:49,902] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 21
2022-11-23T02:04:38.4346174Z 
2022-11-23T02:04:38.4346308Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4346411Z import torch
2022-11-23T02:04:38.4346497Z import random
2022-11-23T02:04:38.4346658Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4346831Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4346854Z 
2022-11-23T02:04:38.4346969Z aten = torch.ops.aten
2022-11-23T02:04:38.4347152Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4347283Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4347303Z 
2022-11-23T02:04:38.4347321Z 
2022-11-23T02:04:38.4347512Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.4347794Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.4347943Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.4348083Z                        long* __restrict__ out_ptr0,
2022-11-23T02:04:38.4348216Z                        long* __restrict__ out_ptr1,
2022-11-23T02:04:38.4348349Z                        long* __restrict__ out_ptr2,
2022-11-23T02:04:38.4348479Z                        long* __restrict__ out_ptr3)
2022-11-23T02:04:38.4348570Z {
2022-11-23T02:04:38.4348709Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4348784Z     {
2022-11-23T02:04:38.4348903Z         #pragma omp for 
2022-11-23T02:04:38.4349022Z         for(long i0=0; i0<144; i0+=1)
2022-11-23T02:04:38.4349115Z         {
2022-11-23T02:04:38.4349210Z             {
2022-11-23T02:04:38.4349305Z                 {
2022-11-23T02:04:38.4349480Z                     struct IndexValue_3 {size_t index; float value;};
2022-11-23T02:04:38.4349860Z                     IndexValue_3 tmp1{0, -std::numeric_limits<float>::infinity()};
2022-11-23T02:04:38.4350055Z                     #pragma omp declare reduction(argmax : struct IndexValue_3 :\
2022-11-23T02:04:38.4350265Z                         omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T02:04:38.4350469Z                         omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T02:04:38.4350792Z                     	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T02:04:38.4350962Z                     struct IndexValue_4 {size_t index; float value;};
2022-11-23T02:04:38.4351216Z                     IndexValue_4 tmp2{0, std::numeric_limits<float>::infinity()};
2022-11-23T02:04:38.4351408Z                     #pragma omp declare reduction(argmin : struct IndexValue_4 :\
2022-11-23T02:04:38.4351606Z                         omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T02:04:38.4351812Z                         omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T02:04:38.4352012Z                     	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T02:04:38.4352143Z                     for(long i1=0; i1<144; i1+=1)
2022-11-23T02:04:38.4352241Z                     {
2022-11-23T02:04:38.4352404Z                         {
2022-11-23T02:04:38.4352550Z                             auto tmp0 = in_ptr0[i0 + (144*i1)];
2022-11-23T02:04:38.4352689Z                             if (tmp1.value < tmp0) {
2022-11-23T02:04:38.4352832Z                                 tmp1.index = i1; tmp1.value = tmp0;
2022-11-23T02:04:38.4352938Z                             }
2022-11-23T02:04:38.4353078Z                             if (tmp2.value > tmp0) {
2022-11-23T02:04:38.4353233Z                                 tmp2.index = i1; tmp2.value = tmp0;
2022-11-23T02:04:38.4353383Z                             }
2022-11-23T02:04:38.4353490Z                         }
2022-11-23T02:04:38.4353587Z                     }
2022-11-23T02:04:38.4353708Z                     out_ptr0[i0] = tmp1.index;
2022-11-23T02:04:38.4353840Z                     out_ptr1[i0] = tmp2.index;
2022-11-23T02:04:38.4353939Z                 }
2022-11-23T02:04:38.4354034Z             }
2022-11-23T02:04:38.4354130Z         }
2022-11-23T02:04:38.4354244Z         #pragma omp for 
2022-11-23T02:04:38.4354366Z         for(long i0=0; i0<144; i0+=1)
2022-11-23T02:04:38.4354442Z         {
2022-11-23T02:04:38.4354536Z             {
2022-11-23T02:04:38.4354628Z                 {
2022-11-23T02:04:38.4354804Z                     struct IndexValue_5 {size_t index; float value;};
2022-11-23T02:04:38.4355136Z                     IndexValue_5 tmp1{0, -std::numeric_limits<float>::infinity()};
2022-11-23T02:04:38.4355331Z                     #pragma omp declare reduction(argmax : struct IndexValue_5 :\
2022-11-23T02:04:38.4355544Z                         omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T02:04:38.4355748Z                         omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T02:04:38.4356054Z                     	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T02:04:38.4356224Z                     struct IndexValue_6 {size_t index; float value;};
2022-11-23T02:04:38.4356411Z                     IndexValue_6 tmp2{0, std::numeric_limits<float>::infinity()};
2022-11-23T02:04:38.4356604Z                     #pragma omp declare reduction(argmin : struct IndexValue_6 :\
2022-11-23T02:04:38.4356812Z                         omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T02:04:38.4357017Z                         omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T02:04:38.4357217Z                     	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T02:04:38.4357349Z                     for(long i1=0; i1<144; i1+=1)
2022-11-23T02:04:38.4357431Z                     {
2022-11-23T02:04:38.4357531Z                         {
2022-11-23T02:04:38.4357712Z                             auto tmp0 = in_ptr0[i1 + (144*i0)];
2022-11-23T02:04:38.4357856Z                             if (tmp1.value < tmp0) {
2022-11-23T02:04:38.4358020Z                                 tmp1.index = i1; tmp1.value = tmp0;
2022-11-23T02:04:38.4358103Z                             }
2022-11-23T02:04:38.4358219Z                             if (tmp2.value > tmp0) {
2022-11-23T02:04:38.4358359Z                                 tmp2.index = i1; tmp2.value = tmp0;
2022-11-23T02:04:38.4358530Z                             }
2022-11-23T02:04:38.4358630Z                         }
2022-11-23T02:04:38.4358728Z                     }
2022-11-23T02:04:38.4358864Z                     out_ptr2[i0] = tmp1.index;
2022-11-23T02:04:38.4358999Z                     out_ptr3[i0] = tmp2.index;
2022-11-23T02:04:38.4359096Z                 }
2022-11-23T02:04:38.4359175Z             }
2022-11-23T02:04:38.4359269Z         }
2022-11-23T02:04:38.4359361Z     }
2022-11-23T02:04:38.4359451Z }
2022-11-23T02:04:38.4359572Z ''')
2022-11-23T02:04:38.4359596Z 
2022-11-23T02:04:38.4359615Z 
2022-11-23T02:04:38.4359743Z async_compile.wait(globals())
2022-11-23T02:04:38.4359849Z del async_compile
2022-11-23T02:04:38.4359868Z 
2022-11-23T02:04:38.4359974Z def call(args):
2022-11-23T02:04:38.4360060Z     arg0_1, = args
2022-11-23T02:04:38.4360165Z     args.clear()
2022-11-23T02:04:38.4360429Z     buf0 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.4360686Z     buf1 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.4360942Z     buf2 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.4361198Z     buf3 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.4361541Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T02:04:38.4361634Z     del arg0_1
2022-11-23T02:04:38.4361761Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T02:04:38.4361780Z 
2022-11-23T02:04:38.4361799Z 
2022-11-23T02:04:38.4361912Z if __name__ == "__main__":
2022-11-23T02:04:38.4362073Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4362244Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4362529Z     arg0_1 = rand_strided((144, 144), (144, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4362682Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.4362706Z 
2022-11-23T02:04:38.4362807Z ok (2.667s)
2022-11-23T02:04:38.4362955Z   test_argmax_argmin3_cpu (__main__.CpuTests) ... skip: 
2022-11-23T02:04:38.4363169Z         FIXME: In the case of having equally max/min elements, our implementation returns
2022-11-23T02:04:38.4363322Z         the last index instead of the first one
2022-11-23T02:04:38.4363421Z          (0.001s)
2022-11-23T02:04:38.4363841Z   test_as_strided_cpu (__main__.CpuTests) ... [2022-11-23 01:50:49,910] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4364268Z [2022-11-23 01:50:49,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4364563Z [2022-11-23 01:50:49,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4364901Z [2022-11-23 01:50:49,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4365281Z [2022-11-23 01:50:49,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4365695Z [2022-11-23 01:50:49,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4366161Z [2022-11-23 01:50:49,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4366595Z [2022-11-23 01:50:49,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4367095Z [2022-11-23 01:50:49,911] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f785b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3605> 
2022-11-23T02:04:38.4367235Z  3607           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4367444Z                2 LOAD_METHOD              1 (as_strided)
2022-11-23T02:04:38.4367575Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4367718Z                6 LOAD_CONST               1 ((8, 8, 64))
2022-11-23T02:04:38.4367860Z                8 LOAD_CONST               2 ((512, 64, 1))
2022-11-23T02:04:38.4367979Z               10 LOAD_CONST               3 (0)
2022-11-23T02:04:38.4368109Z               12 CALL_METHOD              4
2022-11-23T02:04:38.4368129Z 
2022-11-23T02:04:38.4368260Z 3608          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4368398Z               16 LOAD_METHOD              1 (as_strided)
2022-11-23T02:04:38.4368526Z               18 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4368654Z               20 LOAD_CONST               4 (1)
2022-11-23T02:04:38.4368806Z               22 BINARY_ADD
2022-11-23T02:04:38.4368912Z               24 LOAD_CONST               1 ((8, 8, 64))
2022-11-23T02:04:38.4369036Z               26 LOAD_CONST               2 ((512, 64, 1))
2022-11-23T02:04:38.4369165Z               28 LOAD_CONST               3 (0)
2022-11-23T02:04:38.4369313Z               30 CALL_METHOD              4
2022-11-23T02:04:38.4369410Z               32 LOAD_CONST               5 (2)
2022-11-23T02:04:38.4369567Z               34 BINARY_ADD
2022-11-23T02:04:38.4369589Z 
2022-11-23T02:04:38.4369726Z 3606          36 BUILD_TUPLE              2
2022-11-23T02:04:38.4369881Z               38 RETURN_VALUE
2022-11-23T02:04:38.4369914Z  
2022-11-23T02:04:38.4369933Z 
2022-11-23T02:04:38.4370365Z [2022-11-23 01:50:49,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3607
2022-11-23T02:04:38.4370661Z [2022-11-23 01:50:49,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.4371080Z [2022-11-23 01:50:49,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4371513Z [2022-11-23 01:50:49,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.as_strided)]
2022-11-23T02:04:38.4371940Z [2022-11-23 01:50:49,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (8, 8, 64) [TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T02:04:38.4372370Z [2022-11-23 01:50:49,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (512, 64, 1) [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.4373173Z [2022-11-23 01:50:49,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple)]
2022-11-23T02:04:38.4374356Z [2022-11-23 01:50:49,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple), ConstantVariable(int)]
2022-11-23T02:04:38.4375003Z [2022-11-23 01:50:49,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3608
2022-11-23T02:04:38.4375353Z [2022-11-23 01:50:49,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.4375794Z [2022-11-23 01:50:49,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4376650Z [2022-11-23 01:50:49,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.as_strided)]
2022-11-23T02:04:38.4377269Z [2022-11-23 01:50:49,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T02:04:38.4377752Z [2022-11-23 01:50:49,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4378377Z [2022-11-23 01:50:49,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (8, 8, 64) [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T02:04:38.4378867Z [2022-11-23 01:50:49,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (512, 64, 1) [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.4379386Z [2022-11-23 01:50:49,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple)]
2022-11-23T02:04:38.4379968Z [2022-11-23 01:50:49,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple), ConstantVariable(int)]
2022-11-23T02:04:38.4380325Z [2022-11-23 01:50:49,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4380746Z [2022-11-23 01:50:49,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4381243Z [2022-11-23 01:50:49,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3606
2022-11-23T02:04:38.4381620Z [2022-11-23 01:50:49,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4381933Z [2022-11-23 01:50:49,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.4382432Z [2022-11-23 01:50:49,935] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f785b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3605>
2022-11-23T02:04:38.4382763Z [2022-11-23 01:50:49,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.4383084Z [2022-11-23 01:50:49,936] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4383429Z [2022-11-23 01:50:49,937] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4383773Z [2022-11-23 01:50:49,947] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4384031Z [2022-11-23 01:50:49,948] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4384216Z  __compiled_fn_23 <eval_with_key>.152 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4384351Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4384573Z call_function, as_strided, aten.as_strided, (ex_0_, (8, 8, 64), (512, 64, 1), 0), {}
2022-11-23T02:04:38.4384817Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:38.4385005Z call_function, as_strided_1, aten.as_strided, (add, (8, 8, 64), (512, 64, 1), 0), {}
2022-11-23T02:04:38.4385265Z call_function, add_1, <built-in function add>, (as_strided_1, 2), {}
2022-11-23T02:04:38.4385427Z output, output, output, ((as_strided, add_1),), {}
2022-11-23T02:04:38.4385451Z 
2022-11-23T02:04:38.4385890Z [2022-11-23 01:50:49,948] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4386025Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4386156Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4386265Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4386398Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4386523Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4386655Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4386769Z              12 RETURN_VALUE
2022-11-23T02:04:38.4386788Z 
2022-11-23T02:04:38.4386880Z  
2022-11-23T02:04:38.4387316Z [2022-11-23 01:50:49,948] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4387551Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_23)
2022-11-23T02:04:38.4387664Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4387796Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4387911Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4388038Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.4388186Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.4388331Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4388460Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4388554Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.4388698Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.4388826Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.4388936Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.4389065Z              24 BUILD_TUPLE              2
2022-11-23T02:04:38.4389173Z              26 RETURN_VALUE
2022-11-23T02:04:38.4389193Z 
2022-11-23T02:04:38.4389283Z  
2022-11-23T02:04:38.4389579Z [2022-11-23 01:50:49,950] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4389693Z  - 
2022-11-23T02:04:38.4389866Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4389962Z             {
2022-11-23T02:04:38.4390156Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4390410Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.4390578Z                 'obj_weakref': None
2022-11-23T02:04:38.4390865Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4390961Z             }
2022-11-23T02:04:38.4391055Z             
2022-11-23T02:04:38.4391158Z  - 
2022-11-23T02:04:38.4391334Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4391434Z             {
2022-11-23T02:04:38.4391631Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4391766Z                 'code': None,
2022-11-23T02:04:38.4392052Z                 'obj_weakref': <weakref at 0x7fa61a7b5f80; to 'Tensor' at 0x7fa6237e0c70>
2022-11-23T02:04:38.4392398Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4392494Z             }
2022-11-23T02:04:38.4392590Z             
2022-11-23T02:04:38.4392693Z  - 
2022-11-23T02:04:38.4392873Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4392950Z             {
2022-11-23T02:04:38.4393141Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4393376Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.4393543Z                 'obj_weakref': None
2022-11-23T02:04:38.4393853Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4393953Z             }
2022-11-23T02:04:38.4394048Z             
2022-11-23T02:04:38.4394134Z  - 
2022-11-23T02:04:38.4394306Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4394402Z             {
2022-11-23T02:04:38.4394598Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4394891Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4395058Z                 'obj_weakref': None
2022-11-23T02:04:38.4395363Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4395441Z             }
2022-11-23T02:04:38.4395534Z             
2022-11-23T02:04:38.4395637Z  - 
2022-11-23T02:04:38.4395817Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.4395912Z             {
2022-11-23T02:04:38.4396083Z                 'guard_types': None,
2022-11-23T02:04:38.4396236Z                 'code': None,
2022-11-23T02:04:38.4396382Z                 'obj_weakref': None
2022-11-23T02:04:38.4396630Z                 'guarded_class': None
2022-11-23T02:04:38.4396723Z             }
2022-11-23T02:04:38.4396816Z             
2022-11-23T02:04:38.4397171Z [2022-11-23 01:50:49,962] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 22
2022-11-23T02:04:38.4397662Z [2022-11-23 01:50:52,564] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zy/czyzpxc55c3dquc4ne4sndfzjez2jp3uxczey4dvc3csmbb74mf6.py
2022-11-23T02:04:38.4398016Z [2022-11-23 01:50:52,565] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 22
2022-11-23T02:04:38.4398038Z 
2022-11-23T02:04:38.4398175Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4398263Z import torch
2022-11-23T02:04:38.4398366Z import random
2022-11-23T02:04:38.4398526Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4398694Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4398718Z 
2022-11-23T02:04:38.4398835Z aten = torch.ops.aten
2022-11-23T02:04:38.4399021Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4399153Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4399173Z 
2022-11-23T02:04:38.4399191Z 
2022-11-23T02:04:38.4399458Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.4399729Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.4399894Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:38.4400044Z                        const float* __restrict__ in_ptr0)
2022-11-23T02:04:38.4400137Z {
2022-11-23T02:04:38.4400280Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4400374Z     {
2022-11-23T02:04:38.4400488Z         #pragma omp for 
2022-11-23T02:04:38.4400596Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T02:04:38.4400689Z         {
2022-11-23T02:04:38.4400909Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.4401102Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:38.4401225Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.4401406Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:38.4401532Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:38.4401658Z             tmp4.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:38.4401755Z         }
2022-11-23T02:04:38.4401890Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.4402013Z         for(long i0=4096; i0<4096; i0+=1)
2022-11-23T02:04:38.4402106Z         {
2022-11-23T02:04:38.4402229Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.4402370Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:38.4402475Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.4402615Z             auto tmp3 = static_cast<float>(2);
2022-11-23T02:04:38.4402735Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:38.4402855Z             in_out_ptr0[i0] = tmp4;
2022-11-23T02:04:38.4402957Z         }
2022-11-23T02:04:38.4403053Z     }
2022-11-23T02:04:38.4403144Z }
2022-11-23T02:04:38.4403254Z ''')
2022-11-23T02:04:38.4403273Z 
2022-11-23T02:04:38.4403291Z 
2022-11-23T02:04:38.4403421Z async_compile.wait(globals())
2022-11-23T02:04:38.4403537Z del async_compile
2022-11-23T02:04:38.4403556Z 
2022-11-23T02:04:38.4403661Z def call(args):
2022-11-23T02:04:38.4403764Z     arg0_1, = args
2022-11-23T02:04:38.4403869Z     args.clear()
2022-11-23T02:04:38.4404148Z     buf0 = empty_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4404302Z     buf1 = as_strided(buf0, (8, 8, 64), (512, 64, 1)); del buf0  # reuse
2022-11-23T02:04:38.4404490Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2022-11-23T02:04:38.4404643Z     return (as_strided(arg0_1, (8, 8, 64), (512, 64, 1)), buf1, )
2022-11-23T02:04:38.4404664Z 
2022-11-23T02:04:38.4404683Z 
2022-11-23T02:04:38.4404795Z if __name__ == "__main__":
2022-11-23T02:04:38.4405137Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4405310Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4405587Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4405742Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.4405762Z 
2022-11-23T02:04:38.4405860Z ok (2.662s)
2022-11-23T02:04:38.4406274Z   test_as_strided_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:50:52,573] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4406699Z [2022-11-23 01:50:52,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4406999Z [2022-11-23 01:50:52,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4407340Z [2022-11-23 01:50:52,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4407714Z [2022-11-23 01:50:52,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4408204Z [2022-11-23 01:50:52,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4408678Z [2022-11-23 01:50:52,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4409112Z [2022-11-23 01:50:52,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4409612Z [2022-11-23 01:50:52,574] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f78710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3614> 
2022-11-23T02:04:38.4409752Z  3615           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4409895Z                2 LOAD_ATTR                1 (as_strided_scatter)
2022-11-23T02:04:38.4409916Z 
2022-11-23T02:04:38.4410047Z 3616           4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.4410179Z                6 LOAD_CONST               1 (8)
2022-11-23T02:04:38.4410301Z                8 BINARY_MULTIPLY
2022-11-23T02:04:38.4410432Z               10 LOAD_CONST               2 (10)
2022-11-23T02:04:38.4410538Z               12 BINARY_ADD
2022-11-23T02:04:38.4410558Z 
2022-11-23T02:04:38.4410687Z 3617          14 LOAD_FAST                1 (b)
2022-11-23T02:04:38.4410815Z               16 LOAD_CONST               3 (2)
2022-11-23T02:04:38.4410915Z               18 BINARY_MULTIPLY
2022-11-23T02:04:38.4411040Z               20 LOAD_CONST               4 (4)
2022-11-23T02:04:38.4411156Z               22 BINARY_SUBTRACT
2022-11-23T02:04:38.4411175Z 
2022-11-23T02:04:38.4411301Z 3618          24 LOAD_FAST                0 (a)
2022-11-23T02:04:38.4411433Z               26 LOAD_ATTR                2 (shape)
2022-11-23T02:04:38.4411564Z               28 LOAD_CONST               5 (0)
2022-11-23T02:04:38.4411678Z               30 BINARY_SUBSCR
2022-11-23T02:04:38.4411786Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:38.4411920Z               34 LOAD_ATTR                2 (shape)
2022-11-23T02:04:38.4412049Z               36 LOAD_CONST               6 (1)
2022-11-23T02:04:38.4412161Z               38 BINARY_SUBSCR
2022-11-23T02:04:38.4412286Z               40 LOAD_CONST               3 (2)
2022-11-23T02:04:38.4412407Z               42 BINARY_FLOOR_DIVIDE
2022-11-23T02:04:38.4412536Z               44 BUILD_TUPLE              2
2022-11-23T02:04:38.4412557Z 
2022-11-23T02:04:38.4412665Z 3619          46 LOAD_FAST                0 (a)
2022-11-23T02:04:38.4412799Z               48 LOAD_ATTR                2 (shape)
2022-11-23T02:04:38.4412923Z               50 LOAD_CONST               6 (1)
2022-11-23T02:04:38.4413037Z               52 BINARY_SUBSCR
2022-11-23T02:04:38.4413230Z               54 LOAD_CONST               3 (2)
2022-11-23T02:04:38.4413357Z               56 BUILD_TUPLE              2
2022-11-23T02:04:38.4413375Z 
2022-11-23T02:04:38.4413501Z 3620          58 LOAD_CONST               5 (0)
2022-11-23T02:04:38.4413519Z 
2022-11-23T02:04:38.4413790Z 3615          60 LOAD_CONST               7 (('size', 'stride', 'storage_offset'))
2022-11-23T02:04:38.4413906Z               62 CALL_FUNCTION_KW         5
2022-11-23T02:04:38.4414019Z               64 RETURN_VALUE
2022-11-23T02:04:38.4414111Z  
2022-11-23T02:04:38.4414131Z 
2022-11-23T02:04:38.4414552Z [2022-11-23 01:50:52,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3615
2022-11-23T02:04:38.4414967Z [2022-11-23 01:50:52,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.4415531Z [2022-11-23 01:50:52,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4416010Z [2022-11-23 01:50:52,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3616
2022-11-23T02:04:38.4417425Z [2022-11-23 01:50:52,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter)]
2022-11-23T02:04:38.4418195Z [2022-11-23 01:50:52,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T02:04:38.4418780Z [2022-11-23 01:50:52,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(aten.as_strided_scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4419169Z [2022-11-23 01:50:52,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T02:04:38.4419621Z [2022-11-23 01:50:52,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.as_strided_scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4420053Z [2022-11-23 01:50:52,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3617
2022-11-23T02:04:38.4420455Z [2022-11-23 01:50:52,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T02:04:38.4420888Z [2022-11-23 01:50:52,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4421394Z [2022-11-23 01:50:52,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4421827Z [2022-11-23 01:50:52,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4422332Z [2022-11-23 01:50:52,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4422746Z [2022-11-23 01:50:52,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3618
2022-11-23T02:04:38.4423179Z [2022-11-23 01:50:52,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4423655Z [2022-11-23 01:50:52,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4424120Z [2022-11-23 01:50:52,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ShapeVariable()]
2022-11-23T02:04:38.4424763Z [2022-11-23 01:50:52,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ShapeVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4425252Z [2022-11-23 01:50:52,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4425781Z [2022-11-23 01:50:52,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:38.4426294Z [2022-11-23 01:50:52,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ShapeVariable()]
2022-11-23T02:04:38.4426872Z [2022-11-23 01:50:52,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ShapeVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4427452Z [2022-11-23 01:50:52,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4428077Z [2022-11-23 01:50:52,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4428614Z [2022-11-23 01:50:52,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4429035Z [2022-11-23 01:50:52,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3619
2022-11-23T02:04:38.4429509Z [2022-11-23 01:50:52,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T02:04:38.4430023Z [2022-11-23 01:50:52,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T02:04:38.4430530Z [2022-11-23 01:50:52,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ShapeVariable()]
2022-11-23T02:04:38.4431097Z [2022-11-23 01:50:52,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ShapeVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4431615Z [2022-11-23 01:50:52,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4432198Z [2022-11-23 01:50:52,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4432626Z [2022-11-23 01:50:52,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3620
2022-11-23T02:04:38.4433111Z [2022-11-23 01:50:52,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable()]
2022-11-23T02:04:38.4433528Z [2022-11-23 01:50:52,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3615
2022-11-23T02:04:38.4434224Z [2022-11-23 01:50:52,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('size', 'stride', 'storage_offset') [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4434913Z [2022-11-23 01:50:52,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T02:04:38.4435248Z [2022-11-23 01:50:52,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4435763Z [2022-11-23 01:50:52,597] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f78710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3614>
2022-11-23T02:04:38.4436099Z [2022-11-23 01:50:52,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4436430Z [2022-11-23 01:50:52,597] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4436857Z [2022-11-23 01:50:52,599] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4437200Z [2022-11-23 01:50:52,607] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4437457Z [2022-11-23 01:50:52,607] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4437626Z  __compiled_fn_24 <eval_with_key>.158 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4437754Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4437876Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.4438112Z call_function, mul, <built-in function mul>, (ex_0_, 8), {}
2022-11-23T02:04:38.4438345Z call_function, add, <built-in function add>, (mul, 10), {}
2022-11-23T02:04:38.4438582Z call_function, mul_1, <built-in function mul>, (ex_1_, 2), {}
2022-11-23T02:04:38.4438824Z call_function, sub, <built-in function sub>, (mul_1, 4), {}
2022-11-23T02:04:38.4439207Z call_function, as_strided_scatter, aten.as_strided_scatter, (add, sub), {'size': (10, 512), 'stride': (1024, 2), 'storage_offset': 0}
2022-11-23T02:04:38.4439359Z output, output, output, ((as_strided_scatter,),), {}
2022-11-23T02:04:38.4439387Z 
2022-11-23T02:04:38.4439824Z [2022-11-23 01:50:52,608] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4439961Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4440089Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4440214Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4440383Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4440503Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4440598Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4440700Z              12 RETURN_VALUE
2022-11-23T02:04:38.4440720Z 
2022-11-23T02:04:38.4440816Z  
2022-11-23T02:04:38.4441262Z [2022-11-23 01:50:52,608] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4441416Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_24)
2022-11-23T02:04:38.4441548Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4441718Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4441797Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4441903Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4442033Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.4442141Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.4442270Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.4442452Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.4442621Z              18 RETURN_VALUE
2022-11-23T02:04:38.4442661Z 
2022-11-23T02:04:38.4442742Z  
2022-11-23T02:04:38.4442970Z [2022-11-23 01:50:52,609] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4443058Z  - 
2022-11-23T02:04:38.4443226Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4443330Z             {
2022-11-23T02:04:38.4443522Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4443780Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.4443948Z                 'obj_weakref': None
2022-11-23T02:04:38.4444258Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4444338Z             }
2022-11-23T02:04:38.4444432Z             
2022-11-23T02:04:38.4444541Z  - 
2022-11-23T02:04:38.4444713Z             local 'ex[0]' TYPE_MATCH
2022-11-23T02:04:38.4444808Z             {
2022-11-23T02:04:38.4445000Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T02:04:38.4445219Z                 'code': ['___check_type_id(ex[0], 93849142100368)'],
2022-11-23T02:04:38.4445505Z                 'obj_weakref': <weakref at 0x7fa550099c60; to 'Tensor' at 0x7fa61a7b4d10>
2022-11-23T02:04:38.4445913Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4446012Z             }
2022-11-23T02:04:38.4446108Z             
2022-11-23T02:04:38.4446217Z  - 
2022-11-23T02:04:38.4446391Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4446486Z             {
2022-11-23T02:04:38.4446665Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4446813Z                 'code': None,
2022-11-23T02:04:38.4447097Z                 'obj_weakref': <weakref at 0x7fa550099c60; to 'Tensor' at 0x7fa61a7b4d10>
2022-11-23T02:04:38.4447434Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4447529Z             }
2022-11-23T02:04:38.4447628Z             
2022-11-23T02:04:38.4447733Z  - 
2022-11-23T02:04:38.4447889Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.4447982Z             {
2022-11-23T02:04:38.4448182Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4448336Z                 'code': None,
2022-11-23T02:04:38.4448621Z                 'obj_weakref': <weakref at 0x7fa55a0053a0; to 'Tensor' at 0x7fa61a7b4590>
2022-11-23T02:04:38.4448958Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4449051Z             }
2022-11-23T02:04:38.4449128Z             
2022-11-23T02:04:38.4449232Z  - 
2022-11-23T02:04:38.4449411Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4449504Z             {
2022-11-23T02:04:38.4449692Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4449920Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.4450083Z                 'obj_weakref': None
2022-11-23T02:04:38.4450376Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4450470Z             }
2022-11-23T02:04:38.4450564Z             
2022-11-23T02:04:38.4450670Z  - 
2022-11-23T02:04:38.4450842Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4450936Z             {
2022-11-23T02:04:38.4451108Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4451402Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4451568Z                 'obj_weakref': None
2022-11-23T02:04:38.4451865Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4451959Z             }
2022-11-23T02:04:38.4452051Z             
2022-11-23T02:04:38.4452152Z  - 
2022-11-23T02:04:38.4452405Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.4452484Z             {
2022-11-23T02:04:38.4452748Z                 'guard_types': None,
2022-11-23T02:04:38.4452899Z                 'code': None,
2022-11-23T02:04:38.4453060Z                 'obj_weakref': None
2022-11-23T02:04:38.4453224Z                 'guarded_class': None
2022-11-23T02:04:38.4453357Z             }
2022-11-23T02:04:38.4453414Z             
2022-11-23T02:04:38.4453781Z [2022-11-23 01:50:52,624] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 23
2022-11-23T02:04:38.4454244Z [2022-11-23 01:50:55,268] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kk/ckk27jt4ei5cirjcr4wliavdyf6nkeizuodhq5kdw6px5lhu3cvz.py
2022-11-23T02:04:38.4454602Z [2022-11-23 01:50:55,268] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 23
2022-11-23T02:04:38.4454623Z 
2022-11-23T02:04:38.4454755Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4454860Z import torch
2022-11-23T02:04:38.4454962Z import random
2022-11-23T02:04:38.4455124Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4455284Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4455319Z 
2022-11-23T02:04:38.4455419Z aten = torch.ops.aten
2022-11-23T02:04:38.4455608Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4455798Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4455820Z 
2022-11-23T02:04:38.4455838Z 
2022-11-23T02:04:38.4456434Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.4456923Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.4457214Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.4457460Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.4457697Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.4457827Z {
2022-11-23T02:04:38.4458054Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4458150Z     {
2022-11-23T02:04:38.4458274Z         #pragma omp for 
2022-11-23T02:04:38.4458395Z         for(long i0=0; i0<1280; i0+=1)
2022-11-23T02:04:38.4458489Z         {
2022-11-23T02:04:38.4458693Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.4458883Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T02:04:38.4459005Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:38.4459189Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T02:04:38.4459310Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:38.4459439Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.4459534Z         }
2022-11-23T02:04:38.4459670Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.4459783Z         for(long i0=10240; i0<10240; i0+=1)
2022-11-23T02:04:38.4459876Z         {
2022-11-23T02:04:38.4459997Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.4460137Z             auto tmp1 = static_cast<float>(8);
2022-11-23T02:04:38.4460262Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:38.4460403Z             auto tmp3 = static_cast<float>(10);
2022-11-23T02:04:38.4460524Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:38.4460624Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:38.4460718Z         }
2022-11-23T02:04:38.4460833Z         #pragma omp for 
2022-11-23T02:04:38.4460954Z         for(long i0=0; i0<5120; i0+=1)
2022-11-23T02:04:38.4461046Z         {
2022-11-23T02:04:38.4461139Z             {
2022-11-23T02:04:38.4461219Z                 {
2022-11-23T02:04:38.4461354Z                     auto tmp0 = in_ptr1[i0];
2022-11-23T02:04:38.4461500Z                     auto tmp1 = static_cast<float>(2);
2022-11-23T02:04:38.4461631Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:38.4461774Z                     auto tmp3 = static_cast<float>(4);
2022-11-23T02:04:38.4461992Z                     auto tmp4 = tmp2 - tmp3;
2022-11-23T02:04:38.4462118Z                     out_ptr0[2*i0] = tmp4;
2022-11-23T02:04:38.4462381Z                 }
2022-11-23T02:04:38.4462475Z             }
2022-11-23T02:04:38.4462570Z         }
2022-11-23T02:04:38.4462663Z     }
2022-11-23T02:04:38.4462753Z }
2022-11-23T02:04:38.4462873Z ''')
2022-11-23T02:04:38.4462897Z 
2022-11-23T02:04:38.4462915Z 
2022-11-23T02:04:38.4463051Z async_compile.wait(globals())
2022-11-23T02:04:38.4463143Z del async_compile
2022-11-23T02:04:38.4463180Z 
2022-11-23T02:04:38.4463268Z def call(args):
2022-11-23T02:04:38.4463379Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.4463490Z     args.clear()
2022-11-23T02:04:38.4463772Z     buf0 = empty_strided((10, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4464001Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.4464105Z     del arg0_1
2022-11-23T02:04:38.4464203Z     del arg1_1
2022-11-23T02:04:38.4464292Z     return (buf0, )
2022-11-23T02:04:38.4464312Z 
2022-11-23T02:04:38.4464331Z 
2022-11-23T02:04:38.4464447Z if __name__ == "__main__":
2022-11-23T02:04:38.4464613Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4464787Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4465151Z     arg0_1 = rand_strided((10, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4465441Z     arg1_1 = rand_strided((10, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4465605Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.4465624Z 
2022-11-23T02:04:38.4465726Z ok (2.703s)
2022-11-23T02:04:38.4466125Z   test_avg_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:50:55,276] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4466550Z [2022-11-23 01:50:55,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4466848Z [2022-11-23 01:50:55,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4467194Z [2022-11-23 01:50:55,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4467566Z [2022-11-23 01:50:55,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4467994Z [2022-11-23 01:50:55,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4468454Z [2022-11-23 01:50:55,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4468888Z [2022-11-23 01:50:55,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4469391Z [2022-11-23 01:50:55,277] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb9a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2011> 
2022-11-23T02:04:38.4469535Z  2012           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4469662Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T02:04:38.4469795Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4469926Z                6 LOAD_CONST               1 (3)
2022-11-23T02:04:38.4470055Z                8 LOAD_CONST               1 (3)
2022-11-23T02:04:38.4470182Z               10 BUILD_LIST               2
2022-11-23T02:04:38.4470309Z               12 LOAD_CONST               2 (2)
2022-11-23T02:04:38.4470436Z               14 LOAD_CONST               2 (2)
2022-11-23T02:04:38.4470542Z               16 BUILD_LIST               2
2022-11-23T02:04:38.4470666Z               18 CALL_METHOD              3
2022-11-23T02:04:38.4470778Z               20 RETURN_VALUE
2022-11-23T02:04:38.4470873Z  
2022-11-23T02:04:38.4470892Z 
2022-11-23T02:04:38.4471320Z [2022-11-23 01:50:55,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2012
2022-11-23T02:04:38.4471681Z [2022-11-23 01:50:55,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.4472106Z [2022-11-23 01:50:55,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4472454Z [2022-11-23 01:50:55,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T02:04:38.4472841Z [2022-11-23 01:50:55,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T02:04:38.4473261Z [2022-11-23 01:50:55,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4473747Z [2022-11-23 01:50:55,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4474166Z [2022-11-23 01:50:55,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.4474683Z [2022-11-23 01:50:55,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4475293Z [2022-11-23 01:50:55,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4475750Z [2022-11-23 01:50:55,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.4476081Z [2022-11-23 01:50:55,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4476588Z [2022-11-23 01:50:55,288] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb9a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2011>
2022-11-23T02:04:38.4476923Z [2022-11-23 01:50:55,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4477239Z [2022-11-23 01:50:55,289] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4477583Z [2022-11-23 01:50:55,290] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4477904Z [2022-11-23 01:50:55,294] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4478170Z [2022-11-23 01:50:55,294] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4478362Z  __compiled_fn_25 <eval_with_key>.164 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4478494Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4478672Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T02:04:38.4478820Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T02:04:38.4478842Z 
2022-11-23T02:04:38.4479277Z [2022-11-23 01:50:55,295] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4479413Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4479527Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4479654Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4479789Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4479914Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4480040Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4480152Z              12 RETURN_VALUE
2022-11-23T02:04:38.4480172Z 
2022-11-23T02:04:38.4480338Z  
2022-11-23T02:04:38.4480781Z [2022-11-23 01:50:55,295] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4480918Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_25)
2022-11-23T02:04:38.4481053Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4481185Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4481297Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4481426Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.4481554Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.4481665Z              12 RETURN_VALUE
2022-11-23T02:04:38.4481686Z 
2022-11-23T02:04:38.4481758Z  
2022-11-23T02:04:38.4482008Z [2022-11-23 01:50:55,296] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4482119Z  - 
2022-11-23T02:04:38.4482289Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4482387Z             {
2022-11-23T02:04:38.4482585Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4482843Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.4482995Z                 'obj_weakref': None
2022-11-23T02:04:38.4483358Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4483462Z             }
2022-11-23T02:04:38.4483556Z             
2022-11-23T02:04:38.4483661Z  - 
2022-11-23T02:04:38.4483836Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4483929Z             {
2022-11-23T02:04:38.4484107Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4484260Z                 'code': None,
2022-11-23T02:04:38.4484609Z                 'obj_weakref': <weakref at 0x7fa55a005120; to 'Tensor' at 0x7fa61aa29cb0>
2022-11-23T02:04:38.4484954Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4485047Z             }
2022-11-23T02:04:38.4485147Z             
2022-11-23T02:04:38.4485251Z  - 
2022-11-23T02:04:38.4485416Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4485512Z             {
2022-11-23T02:04:38.4485703Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4485937Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.4486108Z                 'obj_weakref': None
2022-11-23T02:04:38.4486418Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4486513Z             }
2022-11-23T02:04:38.4486591Z             
2022-11-23T02:04:38.4486697Z  - 
2022-11-23T02:04:38.4486870Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4486969Z             {
2022-11-23T02:04:38.4487160Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4487448Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4487616Z                 'obj_weakref': None
2022-11-23T02:04:38.4487906Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4488003Z             }
2022-11-23T02:04:38.4488097Z             
2022-11-23T02:04:38.4488202Z  - 
2022-11-23T02:04:38.4488392Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.4488488Z             {
2022-11-23T02:04:38.4488660Z                 'guard_types': None,
2022-11-23T02:04:38.4488794Z                 'code': None,
2022-11-23T02:04:38.4488959Z                 'obj_weakref': None
2022-11-23T02:04:38.4489134Z                 'guarded_class': None
2022-11-23T02:04:38.4489230Z             }
2022-11-23T02:04:38.4489325Z             
2022-11-23T02:04:38.4489673Z [2022-11-23 01:50:55,304] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 24
2022-11-23T02:04:38.4490162Z [2022-11-23 01:50:57,964] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/od/codjwfbe6kra6l6of3ivoekzq6ap2nigw5gi4t6wtgtpdcbu6s4t.py
2022-11-23T02:04:38.4490601Z [2022-11-23 01:50:57,965] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 24
2022-11-23T02:04:38.4490622Z 
2022-11-23T02:04:38.4490738Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4490846Z import torch
2022-11-23T02:04:38.4490955Z import random
2022-11-23T02:04:38.4491121Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4491291Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4491314Z 
2022-11-23T02:04:38.4491429Z aten = torch.ops.aten
2022-11-23T02:04:38.4491615Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4491729Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4491767Z 
2022-11-23T02:04:38.4491786Z 
2022-11-23T02:04:38.4491962Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.4492244Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.4492419Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.4492564Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.4492657Z {
2022-11-23T02:04:38.4492796Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4492890Z     {
2022-11-23T02:04:38.4493047Z         #pragma omp for 
2022-11-23T02:04:38.4493175Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.4493273Z         {
2022-11-23T02:04:38.4493391Z             #pragma GCC ivdep
2022-11-23T02:04:38.4493514Z             for(long i1=0; i1<7; i1+=1)
2022-11-23T02:04:38.4493609Z             {
2022-11-23T02:04:38.4493735Z                 #pragma GCC ivdep
2022-11-23T02:04:38.4493847Z                 for(long i2=0; i2<7; i2+=1)
2022-11-23T02:04:38.4493942Z                 {
2022-11-23T02:04:38.4494039Z                     {
2022-11-23T02:04:38.4494141Z                         {
2022-11-23T02:04:38.4494302Z                             auto tmp0 = in_ptr0[(2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:38.4494464Z                             auto tmp1 = in_ptr0[1 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:38.4494624Z                             auto tmp3 = in_ptr0[2 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:38.4494772Z                             auto tmp5 = in_ptr0[16 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:38.4494926Z                             auto tmp7 = in_ptr0[17 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:38.4495079Z                             auto tmp9 = in_ptr0[18 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:38.4495237Z                             auto tmp11 = in_ptr0[32 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:38.4495390Z                             auto tmp13 = in_ptr0[33 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:38.4495540Z                             auto tmp15 = in_ptr0[34 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:38.4495678Z                             auto tmp2 = tmp1 + tmp0;
2022-11-23T02:04:38.4495810Z                             auto tmp4 = tmp3 + tmp2;
2022-11-23T02:04:38.4495933Z                             auto tmp6 = tmp5 + tmp4;
2022-11-23T02:04:38.4496520Z                             auto tmp8 = tmp7 + tmp6;
2022-11-23T02:04:38.4496767Z                             auto tmp10 = tmp9 + tmp8;
2022-11-23T02:04:38.4496993Z                             auto tmp12 = tmp11 + tmp10;
2022-11-23T02:04:38.4497216Z                             auto tmp14 = tmp13 + tmp12;
2022-11-23T02:04:38.4497432Z                             auto tmp16 = tmp15 + tmp14;
2022-11-23T02:04:38.4497705Z                             auto tmp17 = static_cast<float>(0.1111111111111111);
2022-11-23T02:04:38.4497906Z                             auto tmp18 = tmp16 * tmp17;
2022-11-23T02:04:38.4498145Z                             out_ptr0[i2 + (7*i1) + (49*i0)] = tmp18;
2022-11-23T02:04:38.4498311Z                         }
2022-11-23T02:04:38.4498415Z                     }
2022-11-23T02:04:38.4498511Z                 }
2022-11-23T02:04:38.4498607Z             }
2022-11-23T02:04:38.4498861Z         }
2022-11-23T02:04:38.4498937Z     }
2022-11-23T02:04:38.4499027Z }
2022-11-23T02:04:38.4499166Z ''')
2022-11-23T02:04:38.4499187Z 
2022-11-23T02:04:38.4499205Z 
2022-11-23T02:04:38.4499341Z async_compile.wait(globals())
2022-11-23T02:04:38.4499446Z del async_compile
2022-11-23T02:04:38.4499470Z 
2022-11-23T02:04:38.4499715Z def call(args):
2022-11-23T02:04:38.4499871Z     arg0_1, = args
2022-11-23T02:04:38.4499962Z     args.clear()
2022-11-23T02:04:38.4500614Z     buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4500861Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.4501063Z     del arg0_1
2022-11-23T02:04:38.4501212Z     return (buf0, )
2022-11-23T02:04:38.4501233Z 
2022-11-23T02:04:38.4501252Z 
2022-11-23T02:04:38.4501403Z if __name__ == "__main__":
2022-11-23T02:04:38.4501548Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4501773Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4502129Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4502337Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.4502357Z 
2022-11-23T02:04:38.4502542Z ok (2.696s)
2022-11-23T02:04:38.4503100Z   test_avg_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:50:58,002] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4503585Z [2022-11-23 01:50:58,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4503934Z [2022-11-23 01:50:58,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4504319Z [2022-11-23 01:50:58,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4504679Z [2022-11-23 01:50:58,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4505156Z [2022-11-23 01:50:58,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4505667Z [2022-11-23 01:50:58,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4506146Z [2022-11-23 01:50:58,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4506767Z [2022-11-23 01:50:58,004] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb9bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2020> 
2022-11-23T02:04:38.4507015Z  2021           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4507213Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T02:04:38.4507393Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4507564Z                6 LOAD_CONST               1 (3)
2022-11-23T02:04:38.4507681Z                8 LOAD_CONST               1 (3)
2022-11-23T02:04:38.4507853Z               10 BUILD_LIST               2
2022-11-23T02:04:38.4508023Z               12 LOAD_CONST               2 (2)
2022-11-23T02:04:38.4508199Z               14 LOAD_CONST               2 (2)
2022-11-23T02:04:38.4508415Z               16 BUILD_LIST               2
2022-11-23T02:04:38.4508593Z               18 CALL_METHOD              3
2022-11-23T02:04:38.4508742Z               20 RETURN_VALUE
2022-11-23T02:04:38.4508819Z  
2022-11-23T02:04:38.4508894Z 
2022-11-23T02:04:38.4509314Z [2022-11-23 01:50:58,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2021
2022-11-23T02:04:38.4509649Z [2022-11-23 01:50:58,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.4510185Z [2022-11-23 01:50:58,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4510584Z [2022-11-23 01:50:58,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T02:04:38.4511016Z [2022-11-23 01:50:58,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T02:04:38.4511609Z [2022-11-23 01:50:58,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4512210Z [2022-11-23 01:50:58,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4512667Z [2022-11-23 01:50:58,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.4513170Z [2022-11-23 01:50:58,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4513778Z [2022-11-23 01:50:58,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4514287Z [2022-11-23 01:50:58,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.4514606Z [2022-11-23 01:50:58,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4515167Z [2022-11-23 01:50:58,015] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb9bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2020>
2022-11-23T02:04:38.4515540Z [2022-11-23 01:50:58,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4515945Z [2022-11-23 01:50:58,016] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4516343Z [2022-11-23 01:50:58,017] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4516729Z [2022-11-23 01:50:58,021] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4517036Z [2022-11-23 01:50:58,022] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4517261Z  __compiled_fn_26 <eval_with_key>.170 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4517444Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4517610Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T02:04:38.4517796Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T02:04:38.4517821Z 
2022-11-23T02:04:38.4518346Z [2022-11-23 01:50:58,022] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4518572Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4518752Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4518920Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4519096Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4519269Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4519384Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4519538Z              12 RETURN_VALUE
2022-11-23T02:04:38.4519559Z 
2022-11-23T02:04:38.4519688Z  
2022-11-23T02:04:38.4520168Z [2022-11-23 01:50:58,022] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4520400Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_26)
2022-11-23T02:04:38.4520649Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4520818Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4520916Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4521095Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.4521271Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.4521426Z              12 RETURN_VALUE
2022-11-23T02:04:38.4521446Z 
2022-11-23T02:04:38.4521628Z  
2022-11-23T02:04:38.4521934Z [2022-11-23 01:50:58,023] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4522126Z  - 
2022-11-23T02:04:38.4522288Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4522427Z             {
2022-11-23T02:04:38.4522675Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4522969Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.4523177Z                 'obj_weakref': None
2022-11-23T02:04:38.4523522Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4523659Z             }
2022-11-23T02:04:38.4523790Z             
2022-11-23T02:04:38.4523879Z  - 
2022-11-23T02:04:38.4524135Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4524337Z             {
2022-11-23T02:04:38.4524593Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4524786Z                 'code': None,
2022-11-23T02:04:38.4525112Z                 'obj_weakref': <weakref at 0x7fa550521080; to 'Tensor' at 0x7fa61aa29cb0>
2022-11-23T02:04:38.4525537Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4525619Z             }
2022-11-23T02:04:38.4525750Z             
2022-11-23T02:04:38.4525906Z  - 
2022-11-23T02:04:38.4526174Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4526308Z             {
2022-11-23T02:04:38.4526545Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4526766Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.4526973Z                 'obj_weakref': None
2022-11-23T02:04:38.4527321Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4527459Z             }
2022-11-23T02:04:38.4527605Z             
2022-11-23T02:04:38.4527754Z  - 
2022-11-23T02:04:38.4528007Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4528092Z             {
2022-11-23T02:04:38.4528331Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4528658Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4528869Z                 'obj_weakref': None
2022-11-23T02:04:38.4529209Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4529397Z             }
2022-11-23T02:04:38.4529529Z             
2022-11-23T02:04:38.4529627Z  - 
2022-11-23T02:04:38.4529856Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.4530026Z             {
2022-11-23T02:04:38.4530246Z                 'guard_types': None,
2022-11-23T02:04:38.4530440Z                 'code': None,
2022-11-23T02:04:38.4530649Z                 'obj_weakref': None
2022-11-23T02:04:38.4530868Z                 'guarded_class': None
2022-11-23T02:04:38.4530948Z             }
2022-11-23T02:04:38.4531080Z             
2022-11-23T02:04:38.4531472Z [2022-11-23 01:50:58,034] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 25
2022-11-23T02:04:38.4532008Z [2022-11-23 01:51:00,728] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jc/cjcy66jj4fhejnuwexhwplirpgtuvtfm2p6lianvkewvemw54bgx.py
2022-11-23T02:04:38.4532452Z [2022-11-23 01:51:00,728] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 25
2022-11-23T02:04:38.4532475Z 
2022-11-23T02:04:38.4532652Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4532931Z import torch
2022-11-23T02:04:38.4533084Z import random
2022-11-23T02:04:38.4533233Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4533497Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4533517Z 
2022-11-23T02:04:38.4533675Z aten = torch.ops.aten
2022-11-23T02:04:38.4533904Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4534078Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4534098Z 
2022-11-23T02:04:38.4534116Z 
2022-11-23T02:04:38.4534406Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.4534728Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.4534953Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.4535083Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.4535217Z {
2022-11-23T02:04:38.4535401Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4535539Z     {
2022-11-23T02:04:38.4535695Z         #pragma omp for 
2022-11-23T02:04:38.4535858Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T02:04:38.4536594Z         {
2022-11-23T02:04:38.4536812Z             #pragma GCC ivdep
2022-11-23T02:04:38.4537088Z             for(long i1=0; i1<27; i1+=1)
2022-11-23T02:04:38.4537485Z             {
2022-11-23T02:04:38.4537823Z                 #pragma GCC ivdep
2022-11-23T02:04:38.4538087Z                 for(long i2=0; i2<27; i2+=1)
2022-11-23T02:04:38.4538285Z                 {
2022-11-23T02:04:38.4538488Z                     {
2022-11-23T02:04:38.4538578Z                         {
2022-11-23T02:04:38.4538795Z                             auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.4539063Z                             auto tmp1 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.4539267Z                             auto tmp3 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.4539466Z                             auto tmp5 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.4539673Z                             auto tmp7 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.4539868Z                             auto tmp9 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.4540077Z                             auto tmp11 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.4540227Z                             auto tmp13 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.4540441Z                             auto tmp15 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:38.4540618Z                             auto tmp2 = tmp1 + tmp0;
2022-11-23T02:04:38.4540826Z                             auto tmp4 = tmp3 + tmp2;
2022-11-23T02:04:38.4541008Z                             auto tmp6 = tmp5 + tmp4;
2022-11-23T02:04:38.4541270Z                             auto tmp8 = tmp7 + tmp6;
2022-11-23T02:04:38.4541413Z                             auto tmp10 = tmp9 + tmp8;
2022-11-23T02:04:38.4541577Z                             auto tmp12 = tmp11 + tmp10;
2022-11-23T02:04:38.4541725Z                             auto tmp14 = tmp13 + tmp12;
2022-11-23T02:04:38.4541911Z                             auto tmp16 = tmp15 + tmp14;
2022-11-23T02:04:38.4542129Z                             auto tmp17 = static_cast<float>(0.1111111111111111);
2022-11-23T02:04:38.4542312Z                             auto tmp18 = tmp16 * tmp17;
2022-11-23T02:04:38.4542537Z                             out_ptr0[i2 + (27*i1) + (729*i0)] = tmp18;
2022-11-23T02:04:38.4542683Z                         }
2022-11-23T02:04:38.4542819Z                     }
2022-11-23T02:04:38.4542902Z                 }
2022-11-23T02:04:38.4543037Z             }
2022-11-23T02:04:38.4543178Z         }
2022-11-23T02:04:38.4543314Z     }
2022-11-23T02:04:38.4543440Z }
2022-11-23T02:04:38.4543653Z ''')
2022-11-23T02:04:38.4543675Z 
2022-11-23T02:04:38.4543693Z 
2022-11-23T02:04:38.4543902Z async_compile.wait(globals())
2022-11-23T02:04:38.4544141Z del async_compile
2022-11-23T02:04:38.4544160Z 
2022-11-23T02:04:38.4544355Z def call(args):
2022-11-23T02:04:38.4544501Z     arg0_1, = args
2022-11-23T02:04:38.4544663Z     args.clear()
2022-11-23T02:04:38.4545038Z     buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4545273Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.4545418Z     del arg0_1
2022-11-23T02:04:38.4545508Z     return (buf0, )
2022-11-23T02:04:38.4545528Z 
2022-11-23T02:04:38.4545546Z 
2022-11-23T02:04:38.4545699Z if __name__ == "__main__":
2022-11-23T02:04:38.4545944Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4546165Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4546539Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4546734Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.4546757Z 
2022-11-23T02:04:38.4546900Z ok (2.770s)
2022-11-23T02:04:38.4547361Z   test_avg_pool2d3_cpu (__main__.CpuTests) ... [2022-11-23 01:51:00,742] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4547826Z [2022-11-23 01:51:00,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4548180Z [2022-11-23 01:51:00,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4548565Z [2022-11-23 01:51:00,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4549083Z [2022-11-23 01:51:00,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4549566Z [2022-11-23 01:51:00,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4550077Z [2022-11-23 01:51:00,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4550556Z [2022-11-23 01:51:00,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4551100Z [2022-11-23 01:51:00,744] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb9d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2029> 
2022-11-23T02:04:38.4551278Z  2030           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4551462Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T02:04:38.4551579Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4551757Z                6 LOAD_CONST               1 (3)
2022-11-23T02:04:38.4551971Z                8 LOAD_CONST               1 (3)
2022-11-23T02:04:38.4552156Z               10 BUILD_LIST               2
2022-11-23T02:04:38.4552326Z               12 LOAD_CONST               2 (2)
2022-11-23T02:04:38.4552491Z               14 LOAD_CONST               2 (2)
2022-11-23T02:04:38.4552659Z               16 BUILD_LIST               2
2022-11-23T02:04:38.4552772Z               18 LOAD_CONST               3 (1)
2022-11-23T02:04:38.4552938Z               20 LOAD_CONST               3 (1)
2022-11-23T02:04:38.4553110Z               22 BUILD_LIST               2
2022-11-23T02:04:38.4553274Z               24 CALL_METHOD              4
2022-11-23T02:04:38.4553517Z               26 RETURN_VALUE
2022-11-23T02:04:38.4553647Z  
2022-11-23T02:04:38.4553668Z 
2022-11-23T02:04:38.4554150Z [2022-11-23 01:51:00,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2030
2022-11-23T02:04:38.4554484Z [2022-11-23 01:51:00,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.4554955Z [2022-11-23 01:51:00,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4555362Z [2022-11-23 01:51:00,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T02:04:38.4555805Z [2022-11-23 01:51:00,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T02:04:38.4556282Z [2022-11-23 01:51:00,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4556800Z [2022-11-23 01:51:00,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4557307Z [2022-11-23 01:51:00,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.4557819Z [2022-11-23 01:51:00,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4558429Z [2022-11-23 01:51:00,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4558932Z [2022-11-23 01:51:00,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.4559465Z [2022-11-23 01:51:00,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4560053Z [2022-11-23 01:51:00,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4560640Z [2022-11-23 01:51:00,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.4561018Z [2022-11-23 01:51:00,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4561516Z [2022-11-23 01:51:00,755] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb9d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2029>
2022-11-23T02:04:38.4561943Z [2022-11-23 01:51:00,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4562309Z [2022-11-23 01:51:00,755] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4562717Z [2022-11-23 01:51:00,757] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4563100Z [2022-11-23 01:51:00,761] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4563406Z [2022-11-23 01:51:00,761] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4563638Z  __compiled_fn_27 <eval_with_key>.176 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4563809Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4563980Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {}
2022-11-23T02:04:38.4564172Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T02:04:38.4564195Z 
2022-11-23T02:04:38.4564727Z [2022-11-23 01:51:00,762] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4564919Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4565095Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4565332Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4565514Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4565743Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4565856Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4566017Z              12 RETURN_VALUE
2022-11-23T02:04:38.4566038Z 
2022-11-23T02:04:38.4566167Z  
2022-11-23T02:04:38.4566724Z [2022-11-23 01:51:00,762] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4566923Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_27)
2022-11-23T02:04:38.4567093Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4567263Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4567412Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4567523Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.4567690Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.4567849Z              12 RETURN_VALUE
2022-11-23T02:04:38.4567869Z 
2022-11-23T02:04:38.4568012Z  
2022-11-23T02:04:38.4568366Z [2022-11-23 01:51:00,763] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4568522Z  - 
2022-11-23T02:04:38.4568800Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4568887Z             {
2022-11-23T02:04:38.4569135Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4569482Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.4569705Z                 'obj_weakref': None
2022-11-23T02:04:38.4570058Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4570191Z             }
2022-11-23T02:04:38.4570368Z             
2022-11-23T02:04:38.4570463Z  - 
2022-11-23T02:04:38.4570681Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4570812Z             {
2022-11-23T02:04:38.4571057Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4571261Z                 'code': None,
2022-11-23T02:04:38.4571590Z                 'obj_weakref': <weakref at 0x7fa5500f4ae0; to 'Tensor' at 0x7fa55017cef0>
2022-11-23T02:04:38.4571981Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4572063Z             }
2022-11-23T02:04:38.4572195Z             
2022-11-23T02:04:38.4572389Z  - 
2022-11-23T02:04:38.4572616Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4572752Z             {
2022-11-23T02:04:38.4573001Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4573325Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.4573479Z                 'obj_weakref': None
2022-11-23T02:04:38.4573830Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4573966Z             }
2022-11-23T02:04:38.4574110Z             
2022-11-23T02:04:38.4574290Z  - 
2022-11-23T02:04:38.4574507Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4574650Z             {
2022-11-23T02:04:38.4574825Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4575160Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4575365Z                 'obj_weakref': None
2022-11-23T02:04:38.4575703Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4575840Z             }
2022-11-23T02:04:38.4575970Z             
2022-11-23T02:04:38.4576726Z  - 
2022-11-23T02:04:38.4577064Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.4577288Z             {
2022-11-23T02:04:38.4577631Z                 'guard_types': None,
2022-11-23T02:04:38.4577995Z                 'code': None,
2022-11-23T02:04:38.4578320Z                 'obj_weakref': None
2022-11-23T02:04:38.4578587Z                 'guarded_class': None
2022-11-23T02:04:38.4578923Z             }
2022-11-23T02:04:38.4579004Z             
2022-11-23T02:04:38.4579407Z [2022-11-23 01:51:00,771] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 26
2022-11-23T02:04:38.4580013Z [2022-11-23 01:51:03,478] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a6/ca63oevil6kkljkzwq4wb5qla723koszemtoymtg2fzc5swzvdb2.py
2022-11-23T02:04:38.4580414Z [2022-11-23 01:51:03,479] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 26
2022-11-23T02:04:38.4580436Z 
2022-11-23T02:04:38.4580611Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4580755Z import torch
2022-11-23T02:04:38.4580899Z import random
2022-11-23T02:04:38.4581104Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4581258Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4581277Z 
2022-11-23T02:04:38.4581431Z aten = torch.ops.aten
2022-11-23T02:04:38.4581673Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4581889Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4581910Z 
2022-11-23T02:04:38.4581929Z 
2022-11-23T02:04:38.4582169Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.4582660Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.4582882Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.4583073Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.4583149Z {
2022-11-23T02:04:38.4583342Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4583473Z     {
2022-11-23T02:04:38.4583633Z         #pragma omp for 
2022-11-23T02:04:38.4583836Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:38.4583973Z         {
2022-11-23T02:04:38.4584130Z             #pragma GCC ivdep
2022-11-23T02:04:38.4584236Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:38.4584367Z             {
2022-11-23T02:04:38.4584585Z                 {
2022-11-23T02:04:38.4584727Z                     {
2022-11-23T02:04:38.4585023Z                         auto tmp0 = static_cast<long>((-1) + (2*i0));
2022-11-23T02:04:38.4585215Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T02:04:38.4585341Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T02:04:38.4585572Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T02:04:38.4585796Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T02:04:38.4585973Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T02:04:38.4586272Z                         auto tmp6 = static_cast<long>((-1) + (2*i1));
2022-11-23T02:04:38.4586447Z                         auto tmp7 = tmp6 >= tmp1;
2022-11-23T02:04:38.4586624Z                         auto tmp8 = tmp6 < tmp3;
2022-11-23T02:04:38.4586794Z                         auto tmp9 = tmp7 & tmp8;
2022-11-23T02:04:38.4586914Z                         auto tmp10 = tmp5 & tmp9;
2022-11-23T02:04:38.4587082Z                         float tmp11 = 0.0;
2022-11-23T02:04:38.4587269Z                         if(tmp10)
2022-11-23T02:04:38.4587412Z                         {
2022-11-23T02:04:38.4587714Z                             auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4587880Z                             tmp11 = tmp12;
2022-11-23T02:04:38.4588019Z                         }
2022-11-23T02:04:38.4588160Z                         auto tmp13 = static_cast<long>(2*i1);
2022-11-23T02:04:38.4588335Z                         auto tmp14 = tmp13 >= tmp1;
2022-11-23T02:04:38.4588507Z                         auto tmp15 = tmp13 < tmp3;
2022-11-23T02:04:38.4588684Z                         auto tmp16 = tmp14 & tmp15;
2022-11-23T02:04:38.4588895Z                         auto tmp17 = tmp5 & tmp16;
2022-11-23T02:04:38.4589128Z                         float tmp18 = 0.0;
2022-11-23T02:04:38.4589280Z                         if(tmp17)
2022-11-23T02:04:38.4589363Z                         {
2022-11-23T02:04:38.4589739Z                             auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4589903Z                             tmp18 = tmp19;
2022-11-23T02:04:38.4590043Z                         }
2022-11-23T02:04:38.4590223Z                         auto tmp20 = tmp18 + tmp11;
2022-11-23T02:04:38.4590421Z                         auto tmp21 = static_cast<long>(1 + (2*i1));
2022-11-23T02:04:38.4590649Z                         auto tmp22 = tmp21 >= tmp1;
2022-11-23T02:04:38.4590772Z                         auto tmp23 = tmp21 < tmp3;
2022-11-23T02:04:38.4590946Z                         auto tmp24 = tmp22 & tmp23;
2022-11-23T02:04:38.4591117Z                         auto tmp25 = tmp5 & tmp24;
2022-11-23T02:04:38.4591280Z                         float tmp26 = 0.0;
2022-11-23T02:04:38.4591433Z                         if(tmp25)
2022-11-23T02:04:38.4591572Z                         {
2022-11-23T02:04:38.4591930Z                             auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4592106Z                             tmp26 = tmp27;
2022-11-23T02:04:38.4592192Z                         }
2022-11-23T02:04:38.4592456Z                         auto tmp28 = tmp26 + tmp20;
2022-11-23T02:04:38.4592651Z                         auto tmp29 = static_cast<long>(2*i0);
2022-11-23T02:04:38.4592887Z                         auto tmp30 = tmp29 >= tmp1;
2022-11-23T02:04:38.4593072Z                         auto tmp31 = tmp29 < tmp3;
2022-11-23T02:04:38.4593245Z                         auto tmp32 = tmp30 & tmp31;
2022-11-23T02:04:38.4593426Z                         auto tmp33 = tmp32 & tmp9;
2022-11-23T02:04:38.4593536Z                         float tmp34 = 0.0;
2022-11-23T02:04:38.4593685Z                         if(tmp33)
2022-11-23T02:04:38.4593826Z                         {
2022-11-23T02:04:38.4594159Z                             auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4594324Z                             tmp34 = tmp35;
2022-11-23T02:04:38.4594463Z                         }
2022-11-23T02:04:38.4594639Z                         auto tmp36 = tmp34 + tmp28;
2022-11-23T02:04:38.4594759Z                         auto tmp37 = tmp32 & tmp16;
2022-11-23T02:04:38.4594931Z                         float tmp38 = 0.0;
2022-11-23T02:04:38.4595084Z                         if(tmp37)
2022-11-23T02:04:38.4595223Z                         {
2022-11-23T02:04:38.4595468Z                             auto tmp39 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T02:04:38.4595661Z                             tmp38 = tmp39;
2022-11-23T02:04:38.4595802Z                         }
2022-11-23T02:04:38.4595922Z                         auto tmp40 = tmp38 + tmp36;
2022-11-23T02:04:38.4596093Z                         auto tmp41 = tmp32 & tmp24;
2022-11-23T02:04:38.4596264Z                         float tmp42 = 0.0;
2022-11-23T02:04:38.4596411Z                         if(tmp41)
2022-11-23T02:04:38.4596550Z                         {
2022-11-23T02:04:38.4596743Z                             auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4596910Z                             tmp42 = tmp43;
2022-11-23T02:04:38.4596993Z                         }
2022-11-23T02:04:38.4597209Z                         auto tmp44 = tmp42 + tmp40;
2022-11-23T02:04:38.4597412Z                         auto tmp45 = static_cast<long>(1 + (2*i0));
2022-11-23T02:04:38.4597597Z                         auto tmp46 = tmp45 >= tmp1;
2022-11-23T02:04:38.4597768Z                         auto tmp47 = tmp45 < tmp3;
2022-11-23T02:04:38.4597940Z                         auto tmp48 = tmp46 & tmp47;
2022-11-23T02:04:38.4598109Z                         auto tmp49 = tmp48 & tmp9;
2022-11-23T02:04:38.4598222Z                         float tmp50 = 0.0;
2022-11-23T02:04:38.4598422Z                         if(tmp49)
2022-11-23T02:04:38.4598557Z                         {
2022-11-23T02:04:38.4598780Z                             auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4598951Z                             tmp50 = tmp51;
2022-11-23T02:04:38.4599156Z                         }
2022-11-23T02:04:38.4599328Z                         auto tmp52 = tmp50 + tmp44;
2022-11-23T02:04:38.4599498Z                         auto tmp53 = tmp48 & tmp16;
2022-11-23T02:04:38.4599607Z                         float tmp54 = 0.0;
2022-11-23T02:04:38.4599758Z                         if(tmp53)
2022-11-23T02:04:38.4599896Z                         {
2022-11-23T02:04:38.4600088Z                             auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4600300Z                             tmp54 = tmp55;
2022-11-23T02:04:38.4600440Z                         }
2022-11-23T02:04:38.4600611Z                         auto tmp56 = tmp54 + tmp52;
2022-11-23T02:04:38.4600727Z                         auto tmp57 = tmp48 & tmp24;
2022-11-23T02:04:38.4600883Z                         float tmp58 = 0.0;
2022-11-23T02:04:38.4601031Z                         if(tmp57)
2022-11-23T02:04:38.4601218Z                         {
2022-11-23T02:04:38.4601412Z                             auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4601584Z                             tmp58 = tmp59;
2022-11-23T02:04:38.4601760Z                         }
2022-11-23T02:04:38.4601882Z                         auto tmp60 = tmp58 + tmp56;
2022-11-23T02:04:38.4602139Z                         auto tmp61 = static_cast<float>(0.1111111111111111);
2022-11-23T02:04:38.4602324Z                         auto tmp62 = tmp60 * tmp61;
2022-11-23T02:04:38.4602498Z                         out_ptr0[i1 + (4*i0)] = tmp62;
2022-11-23T02:04:38.4602633Z                     }
2022-11-23T02:04:38.4602775Z                 }
2022-11-23T02:04:38.4602907Z             }
2022-11-23T02:04:38.4602984Z         }
2022-11-23T02:04:38.4603115Z     }
2022-11-23T02:04:38.4603277Z }
2022-11-23T02:04:38.4603459Z ''')
2022-11-23T02:04:38.4603490Z 
2022-11-23T02:04:38.4603508Z 
2022-11-23T02:04:38.4603684Z async_compile.wait(globals())
2022-11-23T02:04:38.4603829Z del async_compile
2022-11-23T02:04:38.4603850Z 
2022-11-23T02:04:38.4604057Z def call(args):
2022-11-23T02:04:38.4604147Z     arg0_1, = args
2022-11-23T02:04:38.4604294Z     args.clear()
2022-11-23T02:04:38.4604625Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4604856Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.4605039Z     del arg0_1
2022-11-23T02:04:38.4605186Z     return (buf0, )
2022-11-23T02:04:38.4605206Z 
2022-11-23T02:04:38.4605225Z 
2022-11-23T02:04:38.4605375Z if __name__ == "__main__":
2022-11-23T02:04:38.4605584Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4605743Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4606077Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4606272Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.4606292Z 
2022-11-23T02:04:38.4606430Z ok (2.744s)
2022-11-23T02:04:38.4606895Z   test_avg_pool2d4_cpu (__main__.CpuTests) ... [2022-11-23 01:51:03,488] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4607416Z [2022-11-23 01:51:03,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4607761Z [2022-11-23 01:51:03,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4608159Z [2022-11-23 01:51:03,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4608519Z [2022-11-23 01:51:03,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4608997Z [2022-11-23 01:51:03,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4609547Z [2022-11-23 01:51:03,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4610107Z [2022-11-23 01:51:03,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4610655Z [2022-11-23 01:51:03,490] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb9e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2038> 
2022-11-23T02:04:38.4610838Z  2039           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4611073Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T02:04:38.4611264Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4611439Z                6 LOAD_CONST               1 (3)
2022-11-23T02:04:38.4611551Z                8 LOAD_CONST               1 (3)
2022-11-23T02:04:38.4611719Z               10 BUILD_LIST               2
2022-11-23T02:04:38.4611886Z               12 LOAD_CONST               2 (2)
2022-11-23T02:04:38.4612056Z               14 LOAD_CONST               2 (2)
2022-11-23T02:04:38.4612225Z               16 BUILD_LIST               2
2022-11-23T02:04:38.4612392Z               18 LOAD_CONST               3 (0)
2022-11-23T02:04:38.4612665Z               20 LOAD_CONST               3 (0)
2022-11-23T02:04:38.4612842Z               22 BUILD_LIST               2
2022-11-23T02:04:38.4612960Z               24 LOAD_CONST               4 (True)
2022-11-23T02:04:38.4613171Z               26 CALL_METHOD              5
2022-11-23T02:04:38.4613322Z               28 RETURN_VALUE
2022-11-23T02:04:38.4613450Z  
2022-11-23T02:04:38.4613472Z 
2022-11-23T02:04:38.4613952Z [2022-11-23 01:51:03,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2039
2022-11-23T02:04:38.4614299Z [2022-11-23 01:51:03,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.4614762Z [2022-11-23 01:51:03,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4615205Z [2022-11-23 01:51:03,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T02:04:38.4615598Z [2022-11-23 01:51:03,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T02:04:38.4616566Z [2022-11-23 01:51:03,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4617538Z [2022-11-23 01:51:03,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4618326Z [2022-11-23 01:51:03,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.4618860Z [2022-11-23 01:51:03,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4619431Z [2022-11-23 01:51:03,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4619922Z [2022-11-23 01:51:03,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.4620461Z [2022-11-23 01:51:03,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4621099Z [2022-11-23 01:51:03,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4621867Z [2022-11-23 01:51:03,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.4622449Z [2022-11-23 01:51:03,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:38.4622829Z [2022-11-23 01:51:03,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4623394Z [2022-11-23 01:51:03,502] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb9e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2038>
2022-11-23T02:04:38.4623711Z [2022-11-23 01:51:03,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4624081Z [2022-11-23 01:51:03,502] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4624465Z [2022-11-23 01:51:03,503] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4624931Z [2022-11-23 01:51:03,507] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4625296Z [2022-11-23 01:51:03,508] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4625530Z  __compiled_fn_28 <eval_with_key>.182 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4625712Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4625954Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [0, 0], True), {}
2022-11-23T02:04:38.4626088Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T02:04:38.4626165Z 
2022-11-23T02:04:38.4626597Z [2022-11-23 01:51:03,508] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4626778Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4626951Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4627117Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4627393Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4627572Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4627738Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4627835Z              12 RETURN_VALUE
2022-11-23T02:04:38.4627855Z 
2022-11-23T02:04:38.4627989Z  
2022-11-23T02:04:38.4628470Z [2022-11-23 01:51:03,508] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4628667Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_28)
2022-11-23T02:04:38.4628835Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4629004Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4629208Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4629382Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.4629501Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.4629655Z              12 RETURN_VALUE
2022-11-23T02:04:38.4629678Z 
2022-11-23T02:04:38.4629815Z  
2022-11-23T02:04:38.4630114Z [2022-11-23 01:51:03,509] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4630259Z  - 
2022-11-23T02:04:38.4630465Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4630609Z             {
2022-11-23T02:04:38.4630793Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4631185Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.4631399Z                 'obj_weakref': None
2022-11-23T02:04:38.4631744Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4631882Z             }
2022-11-23T02:04:38.4632086Z             
2022-11-23T02:04:38.4632241Z  - 
2022-11-23T02:04:38.4632401Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4632543Z             {
2022-11-23T02:04:38.4632782Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4633016Z                 'code': None,
2022-11-23T02:04:38.4633354Z                 'obj_weakref': <weakref at 0x7fa61aa1f8d0; to 'Tensor' at 0x7fa61aa29cb0>
2022-11-23T02:04:38.4633734Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4633870Z             }
2022-11-23T02:04:38.4633950Z             
2022-11-23T02:04:38.4634091Z  - 
2022-11-23T02:04:38.4634325Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4634459Z             {
2022-11-23T02:04:38.4634743Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4635060Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.4635272Z                 'obj_weakref': None
2022-11-23T02:04:38.4635575Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4635710Z             }
2022-11-23T02:04:38.4635843Z             
2022-11-23T02:04:38.4635990Z  - 
2022-11-23T02:04:38.4636265Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4636404Z             {
2022-11-23T02:04:38.4636643Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4636919Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4637174Z                 'obj_weakref': None
2022-11-23T02:04:38.4637521Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4637665Z             }
2022-11-23T02:04:38.4637802Z             
2022-11-23T02:04:38.4637945Z  - 
2022-11-23T02:04:38.4638170Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.4638248Z             {
2022-11-23T02:04:38.4638516Z                 'guard_types': None,
2022-11-23T02:04:38.4638708Z                 'code': None,
2022-11-23T02:04:38.4638952Z                 'obj_weakref': None
2022-11-23T02:04:38.4639180Z                 'guarded_class': None
2022-11-23T02:04:38.4639311Z             }
2022-11-23T02:04:38.4639449Z             
2022-11-23T02:04:38.4639784Z [2022-11-23 01:51:03,517] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 27
2022-11-23T02:04:38.4640319Z [2022-11-23 01:51:06,253] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sl/cslovh4nrkcj52j7rpre3x2epbsz2hmlhw33qvfiqzkrunfya73a.py
2022-11-23T02:04:38.4640717Z [2022-11-23 01:51:06,254] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 27
2022-11-23T02:04:38.4640740Z 
2022-11-23T02:04:38.4640918Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4641125Z import torch
2022-11-23T02:04:38.4641324Z import random
2022-11-23T02:04:38.4641532Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4641747Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4641768Z 
2022-11-23T02:04:38.4641871Z aten = torch.ops.aten
2022-11-23T02:04:38.4642100Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4642274Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4642294Z 
2022-11-23T02:04:38.4642313Z 
2022-11-23T02:04:38.4642605Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.4642922Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.4643137Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.4643358Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.4643493Z {
2022-11-23T02:04:38.4643620Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4643752Z     {
2022-11-23T02:04:38.4643903Z         #pragma omp for 
2022-11-23T02:04:38.4644062Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:38.4644287Z         {
2022-11-23T02:04:38.4644445Z             #pragma GCC ivdep
2022-11-23T02:04:38.4644553Z             for(long i1=0; i1<55; i1+=1)
2022-11-23T02:04:38.4644691Z             {
2022-11-23T02:04:38.4644934Z                 #pragma GCC ivdep
2022-11-23T02:04:38.4645113Z                 for(long i2=0; i2<55; i2+=1)
2022-11-23T02:04:38.4645249Z                 {
2022-11-23T02:04:38.4645395Z                     {
2022-11-23T02:04:38.4645599Z                         {
2022-11-23T02:04:38.4645749Z                             auto tmp0 = in_ptr0[(2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:38.4645953Z                             auto tmp1 = in_ptr0[1 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:38.4646152Z                             auto tmp3 = in_ptr0[2 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:38.4646352Z                             auto tmp5 = in_ptr0[111 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:38.4646594Z                             auto tmp7 = in_ptr0[112 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:38.4646807Z                             auto tmp9 = in_ptr0[113 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:38.4647009Z                             auto tmp11 = in_ptr0[222 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:38.4647278Z                             auto tmp13 = in_ptr0[223 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:38.4647435Z                             auto tmp15 = in_ptr0[224 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:38.4647618Z                             auto tmp2 = tmp1 + tmp0;
2022-11-23T02:04:38.4647791Z                             auto tmp4 = tmp3 + tmp2;
2022-11-23T02:04:38.4647964Z                             auto tmp6 = tmp5 + tmp4;
2022-11-23T02:04:38.4648135Z                             auto tmp8 = tmp7 + tmp6;
2022-11-23T02:04:38.4648352Z                             auto tmp10 = tmp9 + tmp8;
2022-11-23T02:04:38.4648537Z                             auto tmp12 = tmp11 + tmp10;
2022-11-23T02:04:38.4648731Z                             auto tmp14 = tmp13 + tmp12;
2022-11-23T02:04:38.4648854Z                             auto tmp16 = tmp15 + tmp14;
2022-11-23T02:04:38.4649113Z                             auto tmp17 = static_cast<float>(0.1111111111111111);
2022-11-23T02:04:38.4649297Z                             auto tmp18 = tmp16 * tmp17;
2022-11-23T02:04:38.4649490Z                             out_ptr0[i2 + (55*i1) + (3025*i0)] = tmp18;
2022-11-23T02:04:38.4649632Z                         }
2022-11-23T02:04:38.4649775Z                     }
2022-11-23T02:04:38.4649957Z                 }
2022-11-23T02:04:38.4650039Z             }
2022-11-23T02:04:38.4650184Z         }
2022-11-23T02:04:38.4650314Z     }
2022-11-23T02:04:38.4650439Z }
2022-11-23T02:04:38.4650624Z ''')
2022-11-23T02:04:38.4650645Z 
2022-11-23T02:04:38.4650664Z 
2022-11-23T02:04:38.4650839Z async_compile.wait(globals())
2022-11-23T02:04:38.4650986Z del async_compile
2022-11-23T02:04:38.4651006Z 
2022-11-23T02:04:38.4651094Z def call(args):
2022-11-23T02:04:38.4651245Z     arg0_1, = args
2022-11-23T02:04:38.4651441Z     args.clear()
2022-11-23T02:04:38.4651794Z     buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4652076Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.4652217Z     del arg0_1
2022-11-23T02:04:38.4652363Z     return (buf0, )
2022-11-23T02:04:38.4652382Z 
2022-11-23T02:04:38.4652400Z 
2022-11-23T02:04:38.4652549Z if __name__ == "__main__":
2022-11-23T02:04:38.4652696Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4652908Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4653270Z     arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4653516Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.4653537Z 
2022-11-23T02:04:38.4653682Z ok (2.776s)
2022-11-23T02:04:38.4654148Z   test_avg_pool2d5_cpu (__main__.CpuTests) ... [2022-11-23 01:51:06,263] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4654695Z [2022-11-23 01:51:06,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4655034Z [2022-11-23 01:51:06,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4655354Z [2022-11-23 01:51:06,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4655783Z [2022-11-23 01:51:06,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4656845Z [2022-11-23 01:51:06,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4657784Z [2022-11-23 01:51:06,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4658542Z [2022-11-23 01:51:06,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4659344Z [2022-11-23 01:51:06,264] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb9fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2047> 
2022-11-23T02:04:38.4659542Z  2048           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4659728Z                2 LOAD_ATTR                1 (avg_pool2d)
2022-11-23T02:04:38.4659914Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4660083Z                6 LOAD_CONST               1 (3)
2022-11-23T02:04:38.4660198Z                8 LOAD_CONST               1 (3)
2022-11-23T02:04:38.4660364Z               10 BUILD_LIST               2
2022-11-23T02:04:38.4660532Z               12 LOAD_CONST               2 (2)
2022-11-23T02:04:38.4660746Z               14 LOAD_CONST               2 (2)
2022-11-23T02:04:38.4660915Z               16 BUILD_LIST               2
2022-11-23T02:04:38.4661081Z               18 LOAD_CONST               3 (1)
2022-11-23T02:04:38.4661256Z               20 LOAD_CONST               3 (1)
2022-11-23T02:04:38.4661365Z               22 BUILD_LIST               2
2022-11-23T02:04:38.4661539Z               24 LOAD_CONST               4 (False)
2022-11-23T02:04:38.4661828Z               26 LOAD_CONST               5 (('count_include_pad',))
2022-11-23T02:04:38.4662001Z               28 CALL_FUNCTION_KW         5
2022-11-23T02:04:38.4662152Z               30 RETURN_VALUE
2022-11-23T02:04:38.4711063Z  
2022-11-23T02:04:38.4711212Z 
2022-11-23T02:04:38.4712232Z [2022-11-23 01:51:06,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2048
2022-11-23T02:04:38.4712536Z [2022-11-23 01:51:06,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.4713011Z [2022-11-23 01:51:06,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4713382Z [2022-11-23 01:51:06,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T02:04:38.4713780Z [2022-11-23 01:51:06,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T02:04:38.4714223Z [2022-11-23 01:51:06,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4714711Z [2022-11-23 01:51:06,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4715138Z [2022-11-23 01:51:06,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.4716053Z [2022-11-23 01:51:06,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4716575Z [2022-11-23 01:51:06,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4717027Z [2022-11-23 01:51:06,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.4717596Z [2022-11-23 01:51:06,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4718230Z [2022-11-23 01:51:06,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4718859Z [2022-11-23 01:51:06,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.4719468Z [2022-11-23 01:51:06,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('count_include_pad',) [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:38.4720080Z [2022-11-23 01:51:06,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T02:04:38.4720486Z [2022-11-23 01:51:06,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4721106Z [2022-11-23 01:51:06,276] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb9fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2047>
2022-11-23T02:04:38.4721500Z [2022-11-23 01:51:06,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4721833Z [2022-11-23 01:51:06,276] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4722192Z [2022-11-23 01:51:06,277] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4722548Z [2022-11-23 01:51:06,282] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4722818Z [2022-11-23 01:51:06,282] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4722996Z  __compiled_fn_29 <eval_with_key>.188 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4723143Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4723538Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {'count_include_pad': False}
2022-11-23T02:04:38.4723704Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T02:04:38.4723728Z 
2022-11-23T02:04:38.4724173Z [2022-11-23 01:51:06,283] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4724324Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4724527Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4724664Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4724805Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4724920Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4725055Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4725183Z              12 RETURN_VALUE
2022-11-23T02:04:38.4725203Z 
2022-11-23T02:04:38.4725407Z  
2022-11-23T02:04:38.4725918Z [2022-11-23 01:51:06,283] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4726085Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_29)
2022-11-23T02:04:38.4726230Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4726397Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4726522Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4726658Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.4726797Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.4726919Z              12 RETURN_VALUE
2022-11-23T02:04:38.4726940Z 
2022-11-23T02:04:38.4727040Z  
2022-11-23T02:04:38.4727310Z [2022-11-23 01:51:06,284] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4727453Z  - 
2022-11-23T02:04:38.4727635Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4727741Z             {
2022-11-23T02:04:38.4727954Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4728218Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.4728398Z                 'obj_weakref': None
2022-11-23T02:04:38.4728794Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4728904Z             }
2022-11-23T02:04:38.4728983Z             
2022-11-23T02:04:38.4729102Z  - 
2022-11-23T02:04:38.4729287Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4729393Z             {
2022-11-23T02:04:38.4729604Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4729763Z                 'code': None,
2022-11-23T02:04:38.4730034Z                 'obj_weakref': <weakref at 0x7fa5501978d0; to 'Tensor' at 0x7fa6237e0ea0>
2022-11-23T02:04:38.4730388Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4730495Z             }
2022-11-23T02:04:38.4730597Z             
2022-11-23T02:04:38.4730781Z  - 
2022-11-23T02:04:38.4730979Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4731084Z             {
2022-11-23T02:04:38.4731284Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4731532Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.4731687Z                 'obj_weakref': None
2022-11-23T02:04:38.4732066Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4732172Z             }
2022-11-23T02:04:38.4732281Z             
2022-11-23T02:04:38.4732397Z  - 
2022-11-23T02:04:38.4732584Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4732688Z             {
2022-11-23T02:04:38.4732909Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4733216Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4733391Z                 'obj_weakref': None
2022-11-23T02:04:38.4733718Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4733825Z             }
2022-11-23T02:04:38.4733929Z             
2022-11-23T02:04:38.4734046Z  - 
2022-11-23T02:04:38.4734216Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.4734324Z             {
2022-11-23T02:04:38.4734503Z                 'guard_types': None,
2022-11-23T02:04:38.4734667Z                 'code': None,
2022-11-23T02:04:38.4734846Z                 'obj_weakref': None
2022-11-23T02:04:38.4735029Z                 'guarded_class': None
2022-11-23T02:04:38.4735137Z             }
2022-11-23T02:04:38.4735217Z             
2022-11-23T02:04:38.4735578Z [2022-11-23 01:51:06,292] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 28
2022-11-23T02:04:38.4735602Z 
2022-11-23T02:04:38.4735746Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4735857Z import torch
2022-11-23T02:04:38.4736659Z import random
2022-11-23T02:04:38.4736980Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4737279Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4737304Z 
2022-11-23T02:04:38.4737472Z aten = torch.ops.aten
2022-11-23T02:04:38.4737892Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4738099Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4738120Z 
2022-11-23T02:04:38.4738139Z 
2022-11-23T02:04:38.4738372Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.4738667Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.4738902Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.4739057Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.4739158Z {
2022-11-23T02:04:38.4739289Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4739390Z     {
2022-11-23T02:04:38.4739516Z         #pragma omp for 
2022-11-23T02:04:38.4739652Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:38.4739761Z         {
2022-11-23T02:04:38.4739940Z             #pragma GCC ivdep
2022-11-23T02:04:38.4740072Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:38.4740151Z             {
2022-11-23T02:04:38.4740416Z                 {
2022-11-23T02:04:38.4740533Z                     {
2022-11-23T02:04:38.4740792Z                         auto tmp0 = static_cast<long>((-1) + (2*i0));
2022-11-23T02:04:38.4741011Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T02:04:38.4741161Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T02:04:38.4741318Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T02:04:38.4741442Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T02:04:38.4741586Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T02:04:38.4741836Z                         auto tmp6 = static_cast<long>((-1) + (2*i1));
2022-11-23T02:04:38.4741983Z                         auto tmp7 = tmp6 >= tmp1;
2022-11-23T02:04:38.4742132Z                         auto tmp8 = tmp6 < tmp3;
2022-11-23T02:04:38.4742276Z                         auto tmp9 = tmp7 & tmp8;
2022-11-23T02:04:38.4742422Z                         auto tmp10 = tmp5 & tmp9;
2022-11-23T02:04:38.4742537Z                         float tmp11 = 0.0;
2022-11-23T02:04:38.4742661Z                         if(tmp10)
2022-11-23T02:04:38.4742772Z                         {
2022-11-23T02:04:38.4743080Z                             auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4743217Z                             tmp11 = tmp12;
2022-11-23T02:04:38.4743329Z                         }
2022-11-23T02:04:38.4743496Z                         auto tmp13 = static_cast<long>(2*i1);
2022-11-23T02:04:38.4743620Z                         auto tmp14 = tmp13 >= tmp1;
2022-11-23T02:04:38.4743766Z                         auto tmp15 = tmp13 < tmp3;
2022-11-23T02:04:38.4743913Z                         auto tmp16 = tmp14 & tmp15;
2022-11-23T02:04:38.4744060Z                         auto tmp17 = tmp5 & tmp16;
2022-11-23T02:04:38.4744253Z                         float tmp18 = 0.0;
2022-11-23T02:04:38.4744384Z                         if(tmp17)
2022-11-23T02:04:38.4744500Z                         {
2022-11-23T02:04:38.4744759Z                             auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4744866Z                             tmp18 = tmp19;
2022-11-23T02:04:38.4744977Z                         }
2022-11-23T02:04:38.4745123Z                         auto tmp20 = tmp18 + tmp11;
2022-11-23T02:04:38.4745294Z                         auto tmp21 = static_cast<long>(1 + (2*i1));
2022-11-23T02:04:38.4745445Z                         auto tmp22 = tmp21 >= tmp1;
2022-11-23T02:04:38.4745593Z                         auto tmp23 = tmp21 < tmp3;
2022-11-23T02:04:38.4745737Z                         auto tmp24 = tmp22 & tmp23;
2022-11-23T02:04:38.4745854Z                         auto tmp25 = tmp5 & tmp24;
2022-11-23T02:04:38.4746097Z                         float tmp26 = 0.0;
2022-11-23T02:04:38.4746221Z                         if(tmp25)
2022-11-23T02:04:38.4746333Z                         {
2022-11-23T02:04:38.4746640Z                             auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4746781Z                             tmp26 = tmp27;
2022-11-23T02:04:38.4746896Z                         }
2022-11-23T02:04:38.4747017Z                         auto tmp28 = tmp26 + tmp20;
2022-11-23T02:04:38.4747186Z                         auto tmp29 = static_cast<long>(2*i0);
2022-11-23T02:04:38.4747332Z                         auto tmp30 = tmp29 >= tmp1;
2022-11-23T02:04:38.4747477Z                         auto tmp31 = tmp29 < tmp3;
2022-11-23T02:04:38.4769043Z                         auto tmp32 = tmp30 & tmp31;
2022-11-23T02:04:38.4769443Z                         auto tmp33 = tmp32 & tmp9;
2022-11-23T02:04:38.4769589Z                         float tmp34 = 0.0;
2022-11-23T02:04:38.4769689Z                         if(tmp33)
2022-11-23T02:04:38.4769831Z                         {
2022-11-23T02:04:38.4770177Z                             auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4770314Z                             tmp34 = tmp35;
2022-11-23T02:04:38.4770426Z                         }
2022-11-23T02:04:38.4770771Z                         auto tmp36 = tmp34 + tmp28;
2022-11-23T02:04:38.4770933Z                         auto tmp37 = tmp32 & tmp16;
2022-11-23T02:04:38.4771041Z                         float tmp38 = 0.0;
2022-11-23T02:04:38.4771174Z                         if(tmp37)
2022-11-23T02:04:38.4771290Z                         {
2022-11-23T02:04:38.4771456Z                             auto tmp39 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T02:04:38.4771587Z                             tmp38 = tmp39;
2022-11-23T02:04:38.4771699Z                         }
2022-11-23T02:04:38.4771844Z                         auto tmp40 = tmp38 + tmp36;
2022-11-23T02:04:38.4771964Z                         auto tmp41 = tmp32 & tmp24;
2022-11-23T02:04:38.4772103Z                         float tmp42 = 0.0;
2022-11-23T02:04:38.4772224Z                         if(tmp41)
2022-11-23T02:04:38.4772331Z                         {
2022-11-23T02:04:38.4772500Z                             auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4772633Z                             tmp42 = tmp43;
2022-11-23T02:04:38.4772744Z                         }
2022-11-23T02:04:38.4772891Z                         auto tmp44 = tmp42 + tmp40;
2022-11-23T02:04:38.4773039Z                         auto tmp45 = static_cast<long>(1 + (2*i0));
2022-11-23T02:04:38.4773307Z                         auto tmp46 = tmp45 >= tmp1;
2022-11-23T02:04:38.4773473Z                         auto tmp47 = tmp45 < tmp3;
2022-11-23T02:04:38.4773624Z                         auto tmp48 = tmp46 & tmp47;
2022-11-23T02:04:38.4773820Z                         auto tmp49 = tmp48 & tmp9;
2022-11-23T02:04:38.4774075Z                         float tmp50 = 0.0;
2022-11-23T02:04:38.4774225Z                         if(tmp49)
2022-11-23T02:04:38.4774412Z                         {
2022-11-23T02:04:38.4774684Z                             auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4784903Z                             tmp50 = tmp51;
2022-11-23T02:04:38.4785097Z                         }
2022-11-23T02:04:38.4785258Z                         auto tmp52 = tmp50 + tmp44;
2022-11-23T02:04:38.4785400Z                         auto tmp53 = tmp48 & tmp16;
2022-11-23T02:04:38.4785534Z                         float tmp54 = 0.0;
2022-11-23T02:04:38.4785629Z                         if(tmp53)
2022-11-23T02:04:38.4785740Z                         {
2022-11-23T02:04:38.4785902Z                             auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4786028Z                             tmp54 = tmp55;
2022-11-23T02:04:38.4786136Z                         }
2022-11-23T02:04:38.4786278Z                         auto tmp56 = tmp54 + tmp52;
2022-11-23T02:04:38.4786413Z                         auto tmp57 = tmp48 & tmp24;
2022-11-23T02:04:38.4786865Z                         float tmp58 = 0.0;
2022-11-23T02:04:38.4786986Z                         if(tmp57)
2022-11-23T02:04:38.4787092Z                         {
2022-11-23T02:04:38.4787258Z                             auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4787385Z                             tmp58 = tmp59;
2022-11-23T02:04:38.4787491Z                         }
2022-11-23T02:04:38.4787635Z                         auto tmp60 = tmp58 + tmp56;
2022-11-23T02:04:38.4787740Z                         float tmp61 = 0.0;
2022-11-23T02:04:38.4787855Z                         if(tmp10)
2022-11-23T02:04:38.4787965Z                         {
2022-11-23T02:04:38.4788131Z                             auto tmp62 = static_cast<float>(1);
2022-11-23T02:04:38.4788257Z                             tmp61 = tmp62;
2022-11-23T02:04:38.4788365Z                         }
2022-11-23T02:04:38.4788495Z                         float tmp63 = 0.0;
2022-11-23T02:04:38.4788593Z                         if(tmp17)
2022-11-23T02:04:38.4788704Z                         {
2022-11-23T02:04:38.4788862Z                             auto tmp64 = static_cast<float>(1);
2022-11-23T02:04:38.4788986Z                             tmp63 = tmp64;
2022-11-23T02:04:38.4789205Z                         }
2022-11-23T02:04:38.4789356Z                         auto tmp65 = tmp63 + tmp61;
2022-11-23T02:04:38.4789488Z                         float tmp66 = 0.0;
2022-11-23T02:04:38.4789579Z                         if(tmp25)
2022-11-23T02:04:38.4789684Z                         {
2022-11-23T02:04:38.4789842Z                             auto tmp67 = static_cast<float>(1);
2022-11-23T02:04:38.4789964Z                             tmp66 = tmp67;
2022-11-23T02:04:38.4790071Z                         }
2022-11-23T02:04:38.4790215Z                         auto tmp68 = tmp66 + tmp65;
2022-11-23T02:04:38.4790350Z                         float tmp69 = 0.0;
2022-11-23T02:04:38.4790443Z                         if(tmp33)
2022-11-23T02:04:38.4790554Z                         {
2022-11-23T02:04:38.4790717Z                             auto tmp70 = static_cast<float>(1);
2022-11-23T02:04:38.4790837Z                             tmp69 = tmp70;
2022-11-23T02:04:38.4790944Z                         }
2022-11-23T02:04:38.4791089Z                         auto tmp71 = tmp69 + tmp68;
2022-11-23T02:04:38.4791216Z                         float tmp72 = 0.0;
2022-11-23T02:04:38.4791307Z                         if(tmp37)
2022-11-23T02:04:38.4791417Z                         {
2022-11-23T02:04:38.4791573Z                             auto tmp73 = static_cast<float>(1);
2022-11-23T02:04:38.4791701Z                             tmp72 = tmp73;
2022-11-23T02:04:38.4791804Z                         }
2022-11-23T02:04:38.4791943Z                         auto tmp74 = tmp72 + tmp71;
2022-11-23T02:04:38.4792070Z                         float tmp75 = 0.0;
2022-11-23T02:04:38.4792162Z                         if(tmp41)
2022-11-23T02:04:38.4792279Z                         {
2022-11-23T02:04:38.4792441Z                             auto tmp76 = static_cast<float>(1);
2022-11-23T02:04:38.4792559Z                             tmp75 = tmp76;
2022-11-23T02:04:38.4792667Z                         }
2022-11-23T02:04:38.4792810Z                         auto tmp77 = tmp75 + tmp74;
2022-11-23T02:04:38.4792939Z                         float tmp78 = 0.0;
2022-11-23T02:04:38.4793031Z                         if(tmp49)
2022-11-23T02:04:38.4793145Z                         {
2022-11-23T02:04:38.4793308Z                             auto tmp79 = static_cast<float>(1);
2022-11-23T02:04:38.4793434Z                             tmp78 = tmp79;
2022-11-23T02:04:38.4793539Z                         }
2022-11-23T02:04:38.4793685Z                         auto tmp80 = tmp78 + tmp77;
2022-11-23T02:04:38.4793808Z                         float tmp81 = 0.0;
2022-11-23T02:04:38.4793981Z                         if(tmp53)
2022-11-23T02:04:38.4794084Z                         {
2022-11-23T02:04:38.4794248Z                             auto tmp82 = static_cast<float>(1);
2022-11-23T02:04:38.4794372Z                             tmp81 = tmp82;
2022-11-23T02:04:38.4794479Z                         }
2022-11-23T02:04:38.4794620Z                         auto tmp83 = tmp81 + tmp80;
2022-11-23T02:04:38.4794753Z                         float tmp84 = 0.0;
2022-11-23T02:04:38.4794868Z                         if(tmp57)
2022-11-23T02:04:38.4794952Z                         {
2022-11-23T02:04:38.4795106Z                             auto tmp85 = static_cast<float>(1);
2022-11-23T02:04:38.4795236Z                             tmp84 = tmp85;
2022-11-23T02:04:38.4795340Z                         }
2022-11-23T02:04:38.4795480Z                         auto tmp86 = tmp84 + tmp83;
2022-11-23T02:04:38.4795620Z                         auto tmp87 = tmp60 / tmp86;
2022-11-23T02:04:38.4795766Z                         out_ptr0[i1 + (4*i0)] = tmp87;
2022-11-23T02:04:38.4795848Z                     }
2022-11-23T02:04:38.4795956Z                 }
2022-11-23T02:04:38.4796058Z             }
2022-11-23T02:04:38.4796157Z         }
2022-11-23T02:04:38.4796256Z     }
2022-11-23T02:04:38.4796357Z }
2022-11-23T02:04:38.4796566Z ''')
2022-11-23T02:04:38.4796596Z 
2022-11-23T02:04:38.4796637Z 
2022-11-23T02:04:38.4796819Z async_compile.wait(globals())
2022-11-23T02:04:38.4796940Z del async_compile
2022-11-23T02:04:38.4796960Z 
2022-11-23T02:04:38.4797075Z def call(args):
2022-11-23T02:04:38.4797186Z     arg0_1, = args
2022-11-23T02:04:38.4797299Z     args.clear()
2022-11-23T02:04:38.4797641Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4797842Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.4797927Z     del arg0_1
2022-11-23T02:04:38.4798043Z     return (buf0, )
2022-11-23T02:04:38.4798065Z 
2022-11-23T02:04:38.4798084Z 
2022-11-23T02:04:38.4798201Z if __name__ == "__main__":
2022-11-23T02:04:38.4798370Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4798557Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4798856Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4799019Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.4799533Z [2022-11-23 01:51:09,054] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pq/cpqbkqom44eo5uwg2lsfwygdq6jolustf4x5o46tooxf744ddpjs.py
2022-11-23T02:04:38.4799874Z [2022-11-23 01:51:09,054] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 28
2022-11-23T02:04:38.4799922Z 
2022-11-23T02:04:38.4800006Z ok (2.799s)
2022-11-23T02:04:38.4800425Z   test_avg_pool2d6_cpu (__main__.CpuTests) ... [2022-11-23 01:51:09,062] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4800854Z [2022-11-23 01:51:09,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4801170Z [2022-11-23 01:51:09,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4801521Z [2022-11-23 01:51:09,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4801910Z [2022-11-23 01:51:09,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4802349Z [2022-11-23 01:51:09,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4802823Z [2022-11-23 01:51:09,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4803268Z [2022-11-23 01:51:09,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4803842Z [2022-11-23 01:51:09,063] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fba130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2056> 
2022-11-23T02:04:38.4803989Z  2057           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4804147Z                2 LOAD_ATTR                1 (avg_pool2d)
2022-11-23T02:04:38.4804288Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4804426Z                6 LOAD_CONST               1 (3)
2022-11-23T02:04:38.4804568Z                8 LOAD_CONST               1 (3)
2022-11-23T02:04:38.4804702Z               10 BUILD_LIST               2
2022-11-23T02:04:38.4804836Z               12 LOAD_CONST               2 (2)
2022-11-23T02:04:38.4804945Z               14 LOAD_CONST               2 (2)
2022-11-23T02:04:38.4805076Z               16 BUILD_LIST               2
2022-11-23T02:04:38.4805210Z               18 LOAD_CONST               3 (1)
2022-11-23T02:04:38.4826552Z               20 LOAD_CONST               3 (1)
2022-11-23T02:04:38.4826943Z               22 BUILD_LIST               2
2022-11-23T02:04:38.4827054Z               24 LOAD_CONST               1 (3)
2022-11-23T02:04:38.4827421Z               26 LOAD_CONST               4 (('divisor_override',))
2022-11-23T02:04:38.4827898Z               28 CALL_FUNCTION_KW         5
2022-11-23T02:04:38.4828024Z               30 RETURN_VALUE
2022-11-23T02:04:38.4828113Z  
2022-11-23T02:04:38.4828137Z 
2022-11-23T02:04:38.4828607Z [2022-11-23 01:51:09,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2057
2022-11-23T02:04:38.4828909Z [2022-11-23 01:51:09,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.4829340Z [2022-11-23 01:51:09,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4829676Z [2022-11-23 01:51:09,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T02:04:38.4830074Z [2022-11-23 01:51:09,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T02:04:38.4830520Z [2022-11-23 01:51:09,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4831022Z [2022-11-23 01:51:09,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4831456Z [2022-11-23 01:51:09,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.4831939Z [2022-11-23 01:51:09,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4832469Z [2022-11-23 01:51:09,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4832936Z [2022-11-23 01:51:09,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.4833444Z [2022-11-23 01:51:09,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4834003Z [2022-11-23 01:51:09,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4834490Z [2022-11-23 01:51:09,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.4835301Z [2022-11-23 01:51:09,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('divisor_override',) [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4835923Z [2022-11-23 01:51:09,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T02:04:38.4836280Z [2022-11-23 01:51:09,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4836789Z [2022-11-23 01:51:09,075] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fba130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2056>
2022-11-23T02:04:38.4837138Z [2022-11-23 01:51:09,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4837475Z [2022-11-23 01:51:09,075] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4837917Z [2022-11-23 01:51:09,077] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4838277Z [2022-11-23 01:51:09,081] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4838542Z [2022-11-23 01:51:09,081] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4838737Z  __compiled_fn_30 <eval_with_key>.194 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4838882Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4839210Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {'divisor_override': 3}
2022-11-23T02:04:38.4839349Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T02:04:38.4839374Z 
2022-11-23T02:04:38.4839828Z [2022-11-23 01:51:09,082] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4839976Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4840123Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4840255Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4840394Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4840522Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4840653Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4840749Z              12 RETURN_VALUE
2022-11-23T02:04:38.4840768Z 
2022-11-23T02:04:38.4840868Z  
2022-11-23T02:04:38.4841306Z [2022-11-23 01:51:09,082] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4841469Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_30)
2022-11-23T02:04:38.4841610Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4841752Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4841869Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4841980Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.4842117Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.4842233Z              12 RETURN_VALUE
2022-11-23T02:04:38.4842252Z 
2022-11-23T02:04:38.4842347Z  
2022-11-23T02:04:38.4842606Z [2022-11-23 01:51:09,083] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4842722Z  - 
2022-11-23T02:04:38.4842894Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4842974Z             {
2022-11-23T02:04:38.4843179Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4843439Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.4843614Z                 'obj_weakref': None
2022-11-23T02:04:38.4843930Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4844130Z             }
2022-11-23T02:04:38.4844227Z             
2022-11-23T02:04:38.4844320Z  - 
2022-11-23T02:04:38.4844505Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4844605Z             {
2022-11-23T02:04:38.4844824Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4844987Z                 'code': None,
2022-11-23T02:04:38.4845280Z                 'obj_weakref': <weakref at 0x7fa61a7912b0; to 'Tensor' at 0x7fa55007acf0>
2022-11-23T02:04:38.4845634Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4845740Z             }
2022-11-23T02:04:38.4845845Z             
2022-11-23T02:04:38.4845935Z  - 
2022-11-23T02:04:38.4846128Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4846236Z             {
2022-11-23T02:04:38.4846432Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4846688Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.4846864Z                 'obj_weakref': None
2022-11-23T02:04:38.4847177Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4847329Z             }
2022-11-23T02:04:38.4847435Z             
2022-11-23T02:04:38.4847553Z  - 
2022-11-23T02:04:38.4847735Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4847841Z             {
2022-11-23T02:04:38.4848042Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4848339Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4848491Z                 'obj_weakref': None
2022-11-23T02:04:38.4848797Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4848898Z             }
2022-11-23T02:04:38.4848997Z             
2022-11-23T02:04:38.4849108Z  - 
2022-11-23T02:04:38.4849299Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.4849399Z             {
2022-11-23T02:04:38.4849551Z                 'guard_types': None,
2022-11-23T02:04:38.4849710Z                 'code': None,
2022-11-23T02:04:38.4849876Z                 'obj_weakref': None
2022-11-23T02:04:38.4850057Z                 'guarded_class': None
2022-11-23T02:04:38.4850156Z             }
2022-11-23T02:04:38.4850259Z             
2022-11-23T02:04:38.4850618Z [2022-11-23 01:51:09,091] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 29
2022-11-23T02:04:38.4851095Z [2022-11-23 01:51:11,761] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/re/crerlpxttxxyq7p6hqbz3orj4llohzxrjkzonel67hi5caj62j4p.py
2022-11-23T02:04:38.4851457Z [2022-11-23 01:51:11,761] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 29
2022-11-23T02:04:38.4851478Z 
2022-11-23T02:04:38.4851621Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4851734Z import torch
2022-11-23T02:04:38.4851841Z import random
2022-11-23T02:04:38.4852010Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4852185Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4852204Z 
2022-11-23T02:04:38.4852324Z aten = torch.ops.aten
2022-11-23T02:04:38.4852496Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4852634Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4852654Z 
2022-11-23T02:04:38.4852673Z 
2022-11-23T02:04:38.4852873Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.4853155Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.4853332Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.4853485Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.4853581Z {
2022-11-23T02:04:38.4853731Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4853808Z     {
2022-11-23T02:04:38.4854017Z         #pragma omp for 
2022-11-23T02:04:38.4854143Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:38.4854249Z         {
2022-11-23T02:04:38.4854377Z             #pragma GCC ivdep
2022-11-23T02:04:38.4854506Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:38.4854613Z             {
2022-11-23T02:04:38.4854694Z                 {
2022-11-23T02:04:38.4854795Z                     {
2022-11-23T02:04:38.4855050Z                         auto tmp0 = static_cast<long>((-1) + (2*i0));
2022-11-23T02:04:38.4855207Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T02:04:38.4855355Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T02:04:38.4855506Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T02:04:38.4855722Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T02:04:38.4855898Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T02:04:38.4856809Z                         auto tmp6 = static_cast<long>((-1) + (2*i1));
2022-11-23T02:04:38.4857070Z                         auto tmp7 = tmp6 >= tmp1;
2022-11-23T02:04:38.4857295Z                         auto tmp8 = tmp6 < tmp3;
2022-11-23T02:04:38.4857519Z                         auto tmp9 = tmp7 & tmp8;
2022-11-23T02:04:38.4857943Z                         auto tmp10 = tmp5 & tmp9;
2022-11-23T02:04:38.4858109Z                         float tmp11 = 0.0;
2022-11-23T02:04:38.4858204Z                         if(tmp10)
2022-11-23T02:04:38.4858314Z                         {
2022-11-23T02:04:38.4858605Z                             auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4858734Z                             tmp11 = tmp12;
2022-11-23T02:04:38.4858849Z                         }
2022-11-23T02:04:38.4859016Z                         auto tmp13 = static_cast<long>(2*i1);
2022-11-23T02:04:38.4859161Z                         auto tmp14 = tmp13 >= tmp1;
2022-11-23T02:04:38.4859278Z                         auto tmp15 = tmp13 < tmp3;
2022-11-23T02:04:38.4859416Z                         auto tmp16 = tmp14 & tmp15;
2022-11-23T02:04:38.4859559Z                         auto tmp17 = tmp5 & tmp16;
2022-11-23T02:04:38.4859686Z                         float tmp18 = 0.0;
2022-11-23T02:04:38.4859807Z                         if(tmp17)
2022-11-23T02:04:38.4859919Z                         {
2022-11-23T02:04:38.4860170Z                             auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4860273Z                             tmp18 = tmp19;
2022-11-23T02:04:38.4860383Z                         }
2022-11-23T02:04:38.4860530Z                         auto tmp20 = tmp18 + tmp11;
2022-11-23T02:04:38.4860695Z                         auto tmp21 = static_cast<long>(1 + (2*i1));
2022-11-23T02:04:38.4860839Z                         auto tmp22 = tmp21 >= tmp1;
2022-11-23T02:04:38.4860977Z                         auto tmp23 = tmp21 < tmp3;
2022-11-23T02:04:38.4861113Z                         auto tmp24 = tmp22 & tmp23;
2022-11-23T02:04:38.4861254Z                         auto tmp25 = tmp5 & tmp24;
2022-11-23T02:04:38.4861365Z                         float tmp26 = 0.0;
2022-11-23T02:04:38.4861480Z                         if(tmp25)
2022-11-23T02:04:38.4861585Z                         {
2022-11-23T02:04:38.4861839Z                             auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4861968Z                             tmp26 = tmp27;
2022-11-23T02:04:38.4862074Z                         }
2022-11-23T02:04:38.4862219Z                         auto tmp28 = tmp26 + tmp20;
2022-11-23T02:04:38.4862355Z                         auto tmp29 = static_cast<long>(2*i0);
2022-11-23T02:04:38.4862500Z                         auto tmp30 = tmp29 >= tmp1;
2022-11-23T02:04:38.4862636Z                         auto tmp31 = tmp29 < tmp3;
2022-11-23T02:04:38.4862771Z                         auto tmp32 = tmp30 & tmp31;
2022-11-23T02:04:38.4862906Z                         auto tmp33 = tmp32 & tmp9;
2022-11-23T02:04:38.4863031Z                         float tmp34 = 0.0;
2022-11-23T02:04:38.4863263Z                         if(tmp33)
2022-11-23T02:04:38.4863346Z                         {
2022-11-23T02:04:38.4863601Z                             auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4863728Z                             tmp34 = tmp35;
2022-11-23T02:04:38.4863844Z                         }
2022-11-23T02:04:38.4863982Z                         auto tmp36 = tmp34 + tmp28;
2022-11-23T02:04:38.4864116Z                         auto tmp37 = tmp32 & tmp16;
2022-11-23T02:04:38.4864242Z                         float tmp38 = 0.0;
2022-11-23T02:04:38.4864333Z                         if(tmp37)
2022-11-23T02:04:38.4864439Z                         {
2022-11-23T02:04:38.4864598Z                             auto tmp39 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T02:04:38.4864723Z                             tmp38 = tmp39;
2022-11-23T02:04:38.4864849Z                         }
2022-11-23T02:04:38.4864962Z                         auto tmp40 = tmp38 + tmp36;
2022-11-23T02:04:38.4865099Z                         auto tmp41 = tmp32 & tmp24;
2022-11-23T02:04:38.4865219Z                         float tmp42 = 0.0;
2022-11-23T02:04:38.4865323Z                         if(tmp41)
2022-11-23T02:04:38.4865425Z                         {
2022-11-23T02:04:38.4865641Z                             auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4865776Z                             tmp42 = tmp43;
2022-11-23T02:04:38.4865886Z                         }
2022-11-23T02:04:38.4866024Z                         auto tmp44 = tmp42 + tmp40;
2022-11-23T02:04:38.4866195Z                         auto tmp45 = static_cast<long>(1 + (2*i0));
2022-11-23T02:04:38.4866336Z                         auto tmp46 = tmp45 >= tmp1;
2022-11-23T02:04:38.4866453Z                         auto tmp47 = tmp45 < tmp3;
2022-11-23T02:04:38.4866591Z                         auto tmp48 = tmp46 & tmp47;
2022-11-23T02:04:38.4866726Z                         auto tmp49 = tmp48 & tmp9;
2022-11-23T02:04:38.4866855Z                         float tmp50 = 0.0;
2022-11-23T02:04:38.4866977Z                         if(tmp49)
2022-11-23T02:04:38.4867083Z                         {
2022-11-23T02:04:38.4867241Z                             auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4867345Z                             tmp50 = tmp51;
2022-11-23T02:04:38.4867459Z                         }
2022-11-23T02:04:38.4867599Z                         auto tmp52 = tmp50 + tmp44;
2022-11-23T02:04:38.4867737Z                         auto tmp53 = tmp48 & tmp16;
2022-11-23T02:04:38.4867865Z                         float tmp54 = 0.0;
2022-11-23T02:04:38.4867983Z                         if(tmp53)
2022-11-23T02:04:38.4868089Z                         {
2022-11-23T02:04:38.4868223Z                             auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4868349Z                             tmp54 = tmp55;
2022-11-23T02:04:38.4868452Z                         }
2022-11-23T02:04:38.4868591Z                         auto tmp56 = tmp54 + tmp52;
2022-11-23T02:04:38.4868733Z                         auto tmp57 = tmp48 & tmp24;
2022-11-23T02:04:38.4868860Z                         float tmp58 = 0.0;
2022-11-23T02:04:38.4868972Z                         if(tmp57)
2022-11-23T02:04:38.4869052Z                         {
2022-11-23T02:04:38.4869215Z                             auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T02:04:38.4869346Z                             tmp58 = tmp59;
2022-11-23T02:04:38.4869454Z                         }
2022-11-23T02:04:38.4869589Z                         auto tmp60 = tmp58 + tmp56;
2022-11-23T02:04:38.4869767Z                         auto tmp61 = static_cast<float>(0.3333333333333333);
2022-11-23T02:04:38.4869909Z                         auto tmp62 = tmp60 * tmp61;
2022-11-23T02:04:38.4870039Z                         out_ptr0[i1 + (4*i0)] = tmp62;
2022-11-23T02:04:38.4870167Z                     }
2022-11-23T02:04:38.4870239Z                 }
2022-11-23T02:04:38.4870346Z             }
2022-11-23T02:04:38.4870442Z         }
2022-11-23T02:04:38.4870611Z     }
2022-11-23T02:04:38.4870711Z }
2022-11-23T02:04:38.4870821Z ''')
2022-11-23T02:04:38.4870844Z 
2022-11-23T02:04:38.4870862Z 
2022-11-23T02:04:38.4871005Z async_compile.wait(globals())
2022-11-23T02:04:38.4871122Z del async_compile
2022-11-23T02:04:38.4871141Z 
2022-11-23T02:04:38.4871255Z def call(args):
2022-11-23T02:04:38.4871366Z     arg0_1, = args
2022-11-23T02:04:38.4871485Z     args.clear()
2022-11-23T02:04:38.4871790Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4871985Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.4872069Z     del arg0_1
2022-11-23T02:04:38.4872182Z     return (buf0, )
2022-11-23T02:04:38.4872201Z 
2022-11-23T02:04:38.4872220Z 
2022-11-23T02:04:38.4872336Z if __name__ == "__main__":
2022-11-23T02:04:38.4872506Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4872684Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4872985Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4873142Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.4873161Z 
2022-11-23T02:04:38.4873272Z ok (2.707s)
2022-11-23T02:04:38.4873740Z   test_avg_pool2d7_cpu (__main__.CpuTests) ... [2022-11-23 01:51:11,769] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4874185Z [2022-11-23 01:51:11,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4874496Z [2022-11-23 01:51:11,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4874844Z [2022-11-23 01:51:11,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4875226Z [2022-11-23 01:51:11,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4875665Z [2022-11-23 01:51:11,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4876135Z [2022-11-23 01:51:11,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4876570Z [2022-11-23 01:51:11,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4877080Z [2022-11-23 01:51:11,770] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fba290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2066> 
2022-11-23T02:04:38.4877227Z  2067           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4877354Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T02:04:38.4877491Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.4877634Z                6 LOAD_CONST               1 (13)
2022-11-23T02:04:38.4877768Z                8 LOAD_CONST               1 (13)
2022-11-23T02:04:38.4877901Z               10 BUILD_LIST               2
2022-11-23T02:04:38.4878041Z               12 LOAD_CONST               2 (1)
2022-11-23T02:04:38.4878183Z               14 LOAD_CONST               2 (1)
2022-11-23T02:04:38.4878291Z               16 BUILD_LIST               2
2022-11-23T02:04:38.4878427Z               18 LOAD_CONST               3 (0)
2022-11-23T02:04:38.4878558Z               20 LOAD_CONST               3 (0)
2022-11-23T02:04:38.4878688Z               22 BUILD_LIST               2
2022-11-23T02:04:38.4878824Z               24 CALL_METHOD              4
2022-11-23T02:04:38.4878942Z               26 RETURN_VALUE
2022-11-23T02:04:38.4879041Z  
2022-11-23T02:04:38.4879062Z 
2022-11-23T02:04:38.4879476Z [2022-11-23 01:51:11,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2067
2022-11-23T02:04:38.4879855Z [2022-11-23 01:51:11,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.4880288Z [2022-11-23 01:51:11,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4880647Z [2022-11-23 01:51:11,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T02:04:38.4881039Z [2022-11-23 01:51:11,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T02:04:38.4881488Z [2022-11-23 01:51:11,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4881974Z [2022-11-23 01:51:11,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4882398Z [2022-11-23 01:51:11,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.4882921Z [2022-11-23 01:51:11,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4883447Z [2022-11-23 01:51:11,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4883972Z [2022-11-23 01:51:11,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.4884482Z [2022-11-23 01:51:11,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4885013Z [2022-11-23 01:51:11,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4885517Z [2022-11-23 01:51:11,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.4885861Z [2022-11-23 01:51:11,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4886378Z [2022-11-23 01:51:11,781] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fba290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2066>
2022-11-23T02:04:38.4886717Z [2022-11-23 01:51:11,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4887052Z [2022-11-23 01:51:11,782] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4887408Z [2022-11-23 01:51:11,783] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4887764Z [2022-11-23 01:51:11,787] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4888034Z [2022-11-23 01:51:11,787] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4888241Z  __compiled_fn_31 <eval_with_key>.200 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4888355Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4888546Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [13, 13], [1, 1], [0, 0]), {}
2022-11-23T02:04:38.4888704Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T02:04:38.4888724Z 
2022-11-23T02:04:38.4889165Z [2022-11-23 01:51:11,788] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4889393Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4889532Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4889672Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4889822Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4889929Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4890065Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4890185Z              12 RETURN_VALUE
2022-11-23T02:04:38.4890205Z 
2022-11-23T02:04:38.4890301Z  
2022-11-23T02:04:38.4890745Z [2022-11-23 01:51:11,788] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4890910Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_31)
2022-11-23T02:04:38.4891052Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4891188Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4891287Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4891419Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.4891558Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.4891679Z              12 RETURN_VALUE
2022-11-23T02:04:38.4891765Z 
2022-11-23T02:04:38.4891866Z  
2022-11-23T02:04:38.4892135Z [2022-11-23 01:51:11,789] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4892245Z  - 
2022-11-23T02:04:38.4892394Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4892499Z             {
2022-11-23T02:04:38.4892703Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4892967Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.4893144Z                 'obj_weakref': None
2022-11-23T02:04:38.4893458Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4893563Z             }
2022-11-23T02:04:38.4893648Z             
2022-11-23T02:04:38.4893760Z  - 
2022-11-23T02:04:38.4893941Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4894043Z             {
2022-11-23T02:04:38.4894243Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4894401Z                 'code': None,
2022-11-23T02:04:38.4894702Z                 'obj_weakref': <weakref at 0x7fa550196890; to 'Tensor' at 0x7fa55a0af510>
2022-11-23T02:04:38.4895026Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4895136Z             }
2022-11-23T02:04:38.4895235Z             
2022-11-23T02:04:38.4895347Z  - 
2022-11-23T02:04:38.4895533Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4895634Z             {
2022-11-23T02:04:38.4895829Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4896593Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.4896943Z                 'obj_weakref': None
2022-11-23T02:04:38.4897472Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4897631Z             }
2022-11-23T02:04:38.4897788Z             
2022-11-23T02:04:38.4897967Z  - 
2022-11-23T02:04:38.4898205Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4898285Z             {
2022-11-23T02:04:38.4898482Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4898781Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4898962Z                 'obj_weakref': None
2022-11-23T02:04:38.4899267Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4899368Z             }
2022-11-23T02:04:38.4899467Z             
2022-11-23T02:04:38.4899551Z  - 
2022-11-23T02:04:38.4899737Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.4899837Z             {
2022-11-23T02:04:38.4900312Z                 'guard_types': None,
2022-11-23T02:04:38.4900474Z                 'code': None,
2022-11-23T02:04:38.4900648Z                 'obj_weakref': None
2022-11-23T02:04:38.4900824Z                 'guarded_class': None
2022-11-23T02:04:38.4900902Z             }
2022-11-23T02:04:38.4901011Z             
2022-11-23T02:04:38.4901373Z [2022-11-23 01:51:11,797] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 30
2022-11-23T02:04:38.4901686Z [2022-11-23 01:51:11,800] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.avg_pool2d
2022-11-23T02:04:38.4902176Z [2022-11-23 01:51:11,803] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oo/coo2kvp2yli52xzhpsykr6iii2r6x3qgu2yq2ovdi2n3fzfirbs5.py
2022-11-23T02:04:38.4902537Z [2022-11-23 01:51:11,804] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 30
2022-11-23T02:04:38.4902561Z 
2022-11-23T02:04:38.4902704Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4902827Z import torch
2022-11-23T02:04:38.4902914Z import random
2022-11-23T02:04:38.4903084Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4903256Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4903275Z 
2022-11-23T02:04:38.4903482Z aten = torch.ops.aten
2022-11-23T02:04:38.4903684Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4903822Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4903842Z 
2022-11-23T02:04:38.4903860Z 
2022-11-23T02:04:38.4903999Z async_compile.wait(globals())
2022-11-23T02:04:38.4904113Z del async_compile
2022-11-23T02:04:38.4904132Z 
2022-11-23T02:04:38.4904221Z def call(args):
2022-11-23T02:04:38.4904330Z     arg0_1, = args
2022-11-23T02:04:38.4904441Z     args.clear()
2022-11-23T02:04:38.4904621Z     buf0 = aten.avg_pool2d(arg0_1, [13, 13], [1, 1], [0, 0], False, True, None)
2022-11-23T02:04:38.4904731Z     del arg0_1
2022-11-23T02:04:38.4904837Z     buf1 = buf0
2022-11-23T02:04:38.4905003Z     assert_size_stride(buf1, (1, 1, 12, 12), (144, 144, 12, 1))
2022-11-23T02:04:38.4905083Z     del buf0
2022-11-23T02:04:38.4905192Z     return (buf1, )
2022-11-23T02:04:38.4905211Z 
2022-11-23T02:04:38.4905230Z 
2022-11-23T02:04:38.4905352Z if __name__ == "__main__":
2022-11-23T02:04:38.4905526Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4905705Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4906023Z     arg0_1 = rand_strided((1, 1, 24, 24), (576, 576, 24, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4906186Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.4906206Z 
2022-11-23T02:04:38.4906308Z ok (0.042s)
2022-11-23T02:04:38.4906734Z   test_avg_pool2d_backward2_cpu (__main__.CpuTests) ... [2022-11-23 01:51:11,811] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4907169Z [2022-11-23 01:51:11,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4907474Z [2022-11-23 01:51:11,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4907819Z [2022-11-23 01:51:11,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4908196Z [2022-11-23 01:51:11,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4908630Z [2022-11-23 01:51:11,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4909098Z [2022-11-23 01:51:11,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4909536Z [2022-11-23 01:51:11,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4910119Z [2022-11-23 01:51:11,812] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f7aad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4057> 
2022-11-23T02:04:38.4910267Z  4058           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4910407Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T02:04:38.4910427Z 
2022-11-23T02:04:38.4910568Z 4059           4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.4910588Z 
2022-11-23T02:04:38.4910724Z 4060           6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.4910743Z 
2022-11-23T02:04:38.4910880Z 4061           8 LOAD_CONST               1 (3)
2022-11-23T02:04:38.4911016Z               10 LOAD_CONST               1 (3)
2022-11-23T02:04:38.4911148Z               12 BUILD_LIST               2
2022-11-23T02:04:38.4911168Z 
2022-11-23T02:04:38.4911300Z 4062          14 LOAD_CONST               2 (1)
2022-11-23T02:04:38.4911433Z               16 LOAD_CONST               2 (1)
2022-11-23T02:04:38.4911545Z               18 BUILD_LIST               2
2022-11-23T02:04:38.4911588Z 
2022-11-23T02:04:38.4911696Z 4063          20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.4911828Z               22 LOAD_CONST               2 (1)
2022-11-23T02:04:38.4912003Z               24 BUILD_LIST               2
2022-11-23T02:04:38.4912024Z 
2022-11-23T02:04:38.4912167Z 4064          26 LOAD_CONST               3 (True)
2022-11-23T02:04:38.4912186Z 
2022-11-23T02:04:38.4912324Z 4065          28 LOAD_CONST               4 (False)
2022-11-23T02:04:38.4912344Z 
2022-11-23T02:04:38.4912479Z 4066          30 LOAD_CONST               0 (None)
2022-11-23T02:04:38.4912498Z 
2022-11-23T02:04:38.4912629Z 4058          32 CALL_METHOD              8
2022-11-23T02:04:38.4912749Z               34 RETURN_VALUE
2022-11-23T02:04:38.4912823Z  
2022-11-23T02:04:38.4912842Z 
2022-11-23T02:04:38.4913285Z [2022-11-23 01:51:11,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4058
2022-11-23T02:04:38.4913593Z [2022-11-23 01:51:11,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.4914045Z [2022-11-23 01:51:11,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.4914479Z [2022-11-23 01:51:11,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4059
2022-11-23T02:04:38.4914859Z [2022-11-23 01:51:11,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T02:04:38.4915286Z [2022-11-23 01:51:11,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4060
2022-11-23T02:04:38.4915698Z [2022-11-23 01:51:11,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T02:04:38.4916119Z [2022-11-23 01:51:11,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4061
2022-11-23T02:04:38.4916579Z [2022-11-23 01:51:11,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.4917077Z [2022-11-23 01:51:11,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4917607Z [2022-11-23 01:51:11,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4918040Z [2022-11-23 01:51:11,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4062
2022-11-23T02:04:38.4918585Z [2022-11-23 01:51:11,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.4919119Z [2022-11-23 01:51:11,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4919706Z [2022-11-23 01:51:11,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4920131Z [2022-11-23 01:51:11,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4063
2022-11-23T02:04:38.4920644Z [2022-11-23 01:51:11,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.4921260Z [2022-11-23 01:51:11,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.4921878Z [2022-11-23 01:51:11,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.4922303Z [2022-11-23 01:51:11,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4064
2022-11-23T02:04:38.4922848Z [2022-11-23 01:51:11,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.4923278Z [2022-11-23 01:51:11,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4065
2022-11-23T02:04:38.4923891Z [2022-11-23 01:51:11,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:38.4924317Z [2022-11-23 01:51:11,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4066
2022-11-23T02:04:38.4924941Z [2022-11-23 01:51:11,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T02:04:38.4925368Z [2022-11-23 01:51:11,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4058
2022-11-23T02:04:38.4926079Z [2022-11-23 01:51:11,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T02:04:38.4926427Z [2022-11-23 01:51:11,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4926951Z [2022-11-23 01:51:11,825] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f7aad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4057>
2022-11-23T02:04:38.4927291Z [2022-11-23 01:51:11,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.4927618Z [2022-11-23 01:51:11,825] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.4928037Z [2022-11-23 01:51:11,827] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.4928384Z [2022-11-23 01:51:11,832] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.4928648Z [2022-11-23 01:51:11,832] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.4928847Z  __compiled_fn_32 <eval_with_key>.206 opcode, name, target, args, kwargs
2022-11-23T02:04:38.4928958Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.4929093Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.4929342Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [3, 3], [1, 1], [1, 1], True, False, None), {}
2022-11-23T02:04:38.4929516Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T02:04:38.4929539Z 
2022-11-23T02:04:38.4929978Z [2022-11-23 01:51:11,833] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4930124Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.4930261Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4930450Z               4 BUILD_MAP                0
2022-11-23T02:04:38.4930575Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.4930707Z               8 DICT_MERGE               1
2022-11-23T02:04:38.4930841Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.4930958Z              12 RETURN_VALUE
2022-11-23T02:04:38.4930978Z 
2022-11-23T02:04:38.4931073Z  
2022-11-23T02:04:38.4931513Z [2022-11-23 01:51:11,833] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.4931678Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_32)
2022-11-23T02:04:38.4931817Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4931937Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.4932062Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.4932196Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.4932334Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.4932456Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.4932591Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.4932728Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.4932821Z              18 RETURN_VALUE
2022-11-23T02:04:38.4932841Z 
2022-11-23T02:04:38.4932938Z  
2022-11-23T02:04:38.4933206Z [2022-11-23 01:51:11,834] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.4933316Z  - 
2022-11-23T02:04:38.4933492Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.4933595Z             {
2022-11-23T02:04:38.4933800Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.4934040Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.4934221Z                 'obj_weakref': None
2022-11-23T02:04:38.4934540Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.4934645Z             }
2022-11-23T02:04:38.4934743Z             
2022-11-23T02:04:38.4934854Z  - 
2022-11-23T02:04:38.4935043Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.4935122Z             {
2022-11-23T02:04:38.4935323Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4935481Z                 'code': None,
2022-11-23T02:04:38.4935779Z                 'obj_weakref': <weakref at 0x7fa5322f9490; to 'Tensor' at 0x7fa53c425f30>
2022-11-23T02:04:38.4936642Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4936819Z             }
2022-11-23T02:04:38.4936982Z             
2022-11-23T02:04:38.4937149Z  - 
2022-11-23T02:04:38.4937458Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.4937857Z             {
2022-11-23T02:04:38.4938156Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.4938321Z                 'code': None,
2022-11-23T02:04:38.4938613Z                 'obj_weakref': <weakref at 0x7fa5322f9710; to 'Tensor' at 0x7fa55a0af510>
2022-11-23T02:04:38.4938967Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.4939045Z             }
2022-11-23T02:04:38.4939147Z             
2022-11-23T02:04:38.4939253Z  - 
2022-11-23T02:04:38.4939443Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.4939542Z             {
2022-11-23T02:04:38.4939735Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.4939973Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.4940124Z                 'obj_weakref': None
2022-11-23T02:04:38.4940439Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.4940551Z             }
2022-11-23T02:04:38.4940653Z             
2022-11-23T02:04:38.4940763Z  - 
2022-11-23T02:04:38.4940940Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.4941041Z             {
2022-11-23T02:04:38.4941212Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.4941595Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.4941854Z                 'obj_weakref': None
2022-11-23T02:04:38.4942217Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.4942318Z             }
2022-11-23T02:04:38.4942417Z             
2022-11-23T02:04:38.4942527Z  - 
2022-11-23T02:04:38.4942690Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.4942797Z             {
2022-11-23T02:04:38.4942973Z                 'guard_types': None,
2022-11-23T02:04:38.4943131Z                 'code': None,
2022-11-23T02:04:38.4943303Z                 'obj_weakref': None
2022-11-23T02:04:38.4943484Z                 'guarded_class': None
2022-11-23T02:04:38.4943585Z             }
2022-11-23T02:04:38.4943662Z             
2022-11-23T02:04:38.4944022Z [2022-11-23 01:51:11,843] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 31
2022-11-23T02:04:38.4944050Z 
2022-11-23T02:04:38.4944194Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.4944304Z import torch
2022-11-23T02:04:38.4944413Z import random
2022-11-23T02:04:38.4944583Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.4944760Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.4944780Z 
2022-11-23T02:04:38.4944880Z aten = torch.ops.aten
2022-11-23T02:04:38.4945076Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.4945214Z async_compile = AsyncCompile()
2022-11-23T02:04:38.4945233Z 
2022-11-23T02:04:38.4945252Z 
2022-11-23T02:04:38.4945449Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.4945741Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.4945922Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.4946069Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.4946170Z {
2022-11-23T02:04:38.4946295Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.4946394Z     {
2022-11-23T02:04:38.4946516Z         #pragma omp for 
2022-11-23T02:04:38.4946644Z         for(long i0=0; i0<20; i0+=1)
2022-11-23T02:04:38.4946744Z         {
2022-11-23T02:04:38.4946864Z             #pragma GCC ivdep
2022-11-23T02:04:38.4946994Z             for(long i1=0; i1<15; i1+=1)
2022-11-23T02:04:38.4947071Z             {
2022-11-23T02:04:38.4947173Z                 {
2022-11-23T02:04:38.4947279Z                     {
2022-11-23T02:04:38.4947511Z                         auto tmp0 = static_cast<int>((-1) + i0);
2022-11-23T02:04:38.4947744Z                         auto tmp1 = static_cast<int>((-1) + i1);
2022-11-23T02:04:38.4947974Z                         auto tmp2 = static_cast<int>(2 + i0);
2022-11-23T02:04:38.4948132Z                         auto tmp3 = static_cast<int>(2 + i1);
2022-11-23T02:04:38.4948261Z                         auto tmp4 = static_cast<int>(0);
2022-11-23T02:04:38.4948467Z                         auto tmp5 = std::max(tmp0, tmp4);
2022-11-23T02:04:38.4948623Z                         auto tmp6 = std::max(tmp1, tmp4);
2022-11-23T02:04:38.4948776Z                         auto tmp7 = static_cast<int>(20);
2022-11-23T02:04:38.4948931Z                         auto tmp8 = std::min(tmp2, tmp7);
2022-11-23T02:04:38.4949082Z                         auto tmp9 = static_cast<int>(15);
2022-11-23T02:04:38.4949241Z                         auto tmp10 = std::min(tmp3, tmp9);
2022-11-23T02:04:38.4949388Z                         auto tmp11 = tmp5 + tmp4;
2022-11-23T02:04:38.4949508Z                         auto tmp12 = tmp6 + tmp4;
2022-11-23T02:04:38.4949661Z                         auto tmp13 = static_cast<int>(1);
2022-11-23T02:04:38.4949827Z                         auto tmp14 = static_cast<int>(3);
2022-11-23T02:04:38.4949974Z                         auto tmp15 = tmp11 * tmp13;
2022-11-23T02:04:38.4950190Z                         auto tmp16 = tmp15 - tmp13;
2022-11-23T02:04:38.4950399Z                         auto tmp17 = tmp12 * tmp13;
2022-11-23T02:04:38.4950607Z                         auto tmp18 = tmp17 - tmp13;
2022-11-23T02:04:38.4950720Z                         auto tmp19 = tmp16 + tmp14;
2022-11-23T02:04:38.4950867Z                         auto tmp20 = tmp7 + tmp13;
2022-11-23T02:04:38.4951029Z                         auto tmp21 = std::min(tmp19, tmp20);
2022-11-23T02:04:38.4951170Z                         auto tmp22 = tmp18 + tmp14;
2022-11-23T02:04:38.4951311Z                         auto tmp23 = tmp9 + tmp13;
2022-11-23T02:04:38.4951470Z                         auto tmp24 = std::min(tmp22, tmp23);
2022-11-23T02:04:38.4951631Z                         auto tmp25 = std::max(tmp16, tmp4);
2022-11-23T02:04:38.4951796Z                         auto tmp26 = std::max(tmp18, tmp4);
2022-11-23T02:04:38.4951931Z                         auto tmp27 = std::min(tmp21, tmp7);
2022-11-23T02:04:38.4952088Z                         auto tmp28 = std::min(tmp24, tmp9);
2022-11-23T02:04:38.4952303Z                         auto tmp29 = tmp27 - tmp25;
2022-11-23T02:04:38.4952506Z                         auto tmp30 = tmp28 - tmp26;
2022-11-23T02:04:38.4952646Z                         auto tmp31 = tmp29 * tmp30;
2022-11-23T02:04:38.4952854Z                         auto tmp32 = tmp8 - tmp13;
2022-11-23T02:04:38.4953016Z                         auto tmp33 = std::min(tmp11, tmp32);
2022-11-23T02:04:38.4953195Z                         auto tmp34 = tmp10 - tmp13;
2022-11-23T02:04:38.4953357Z                         auto tmp35 = std::min(tmp12, tmp34);
2022-11-23T02:04:38.4953519Z                         auto tmp36 = in_ptr0[tmp35 + (15*tmp33)];
2022-11-23T02:04:38.4953664Z                         auto tmp37 = tmp36 / tmp31;
2022-11-23T02:04:38.4953811Z                         auto tmp38 = tmp11 < tmp8;
2022-11-23T02:04:38.4953953Z                         auto tmp39 = tmp12 < tmp10;
2022-11-23T02:04:38.4954093Z                         auto tmp40 = tmp38 & tmp39;
2022-11-23T02:04:38.4954253Z                         auto tmp41 = static_cast<float>(0.0);
2022-11-23T02:04:38.4954382Z                         auto tmp42 = tmp40 ? tmp37 : tmp41;
2022-11-23T02:04:38.4954523Z                         auto tmp43 = tmp6 + tmp13;
2022-11-23T02:04:38.4954659Z                         auto tmp44 = tmp43 * tmp13;
2022-11-23T02:04:38.4954874Z                         auto tmp45 = tmp44 - tmp13;
2022-11-23T02:04:38.4955019Z                         auto tmp46 = tmp45 + tmp14;
2022-11-23T02:04:38.4955182Z                         auto tmp47 = std::min(tmp46, tmp23);
2022-11-23T02:04:38.4955344Z                         auto tmp48 = std::max(tmp45, tmp4);
2022-11-23T02:04:38.4955499Z                         auto tmp49 = std::min(tmp47, tmp9);
2022-11-23T02:04:38.4955750Z                         auto tmp50 = tmp49 - tmp48;
2022-11-23T02:04:38.4955887Z                         auto tmp51 = tmp29 * tmp50;
2022-11-23T02:04:38.4956041Z                         auto tmp52 = std::min(tmp43, tmp34);
2022-11-23T02:04:38.4956208Z                         auto tmp53 = in_ptr0[tmp52 + (15*tmp33)];
2022-11-23T02:04:38.4956350Z                         auto tmp54 = tmp53 / tmp51;
2022-11-23T02:04:38.4956494Z                         auto tmp55 = tmp43 < tmp10;
2022-11-23T02:04:38.4956636Z                         auto tmp56 = tmp38 & tmp55;
2022-11-23T02:04:38.4956749Z                         auto tmp57 = tmp42 + tmp54;
2022-11-23T02:04:38.4956906Z                         auto tmp58 = tmp56 ? tmp57 : tmp42;
2022-11-23T02:04:38.4957060Z                         auto tmp59 = static_cast<int>(2);
2022-11-23T02:04:38.4957200Z                         auto tmp60 = tmp6 + tmp59;
2022-11-23T02:04:38.4957338Z                         auto tmp61 = tmp60 * tmp13;
2022-11-23T02:04:38.4957544Z                         auto tmp62 = tmp61 - tmp13;
2022-11-23T02:04:38.4957685Z                         auto tmp63 = tmp62 + tmp14;
2022-11-23T02:04:38.4957851Z                         auto tmp64 = std::min(tmp63, tmp23);
2022-11-23T02:04:38.4958049Z                         auto tmp65 = std::max(tmp62, tmp4);
2022-11-23T02:04:38.4958216Z                         auto tmp66 = std::min(tmp64, tmp9);
2022-11-23T02:04:38.4958424Z                         auto tmp67 = tmp66 - tmp65;
2022-11-23T02:04:38.4958569Z                         auto tmp68 = tmp29 * tmp67;
2022-11-23T02:04:38.4958729Z                         auto tmp69 = std::min(tmp60, tmp34);
2022-11-23T02:04:38.4958887Z                         auto tmp70 = in_ptr0[tmp69 + (15*tmp33)];
2022-11-23T02:04:38.4959029Z                         auto tmp71 = tmp70 / tmp68;
2022-11-23T02:04:38.4959147Z                         auto tmp72 = tmp60 < tmp10;
2022-11-23T02:04:38.4959288Z                         auto tmp73 = tmp38 & tmp72;
2022-11-23T02:04:38.4959427Z                         auto tmp74 = tmp58 + tmp71;
2022-11-23T02:04:38.4959587Z                         auto tmp75 = tmp73 ? tmp74 : tmp58;
2022-11-23T02:04:38.4959730Z                         auto tmp76 = tmp5 + tmp13;
2022-11-23T02:04:38.4959870Z                         auto tmp77 = tmp76 * tmp13;
2022-11-23T02:04:38.4960082Z                         auto tmp78 = tmp77 - tmp13;
2022-11-23T02:04:38.4960225Z                         auto tmp79 = tmp78 + tmp14;
2022-11-23T02:04:38.4960361Z                         auto tmp80 = std::min(tmp79, tmp20);
2022-11-23T02:04:38.4960516Z                         auto tmp81 = std::max(tmp78, tmp4);
2022-11-23T02:04:38.4960674Z                         auto tmp82 = std::min(tmp80, tmp7);
2022-11-23T02:04:38.4960883Z                         auto tmp83 = tmp82 - tmp81;
2022-11-23T02:04:38.4961018Z                         auto tmp84 = tmp83 * tmp30;
2022-11-23T02:04:38.4961180Z                         auto tmp85 = std::min(tmp76, tmp32);
2022-11-23T02:04:38.4961344Z                         auto tmp86 = in_ptr0[tmp35 + (15*tmp85)];
2022-11-23T02:04:38.4961464Z                         auto tmp87 = tmp86 / tmp84;
2022-11-23T02:04:38.4961607Z                         auto tmp88 = tmp76 < tmp8;
2022-11-23T02:04:38.4961745Z                         auto tmp89 = tmp88 & tmp39;
2022-11-23T02:04:38.4961887Z                         auto tmp90 = tmp75 + tmp87;
2022-11-23T02:04:38.4962045Z                         auto tmp91 = tmp89 ? tmp90 : tmp75;
2022-11-23T02:04:38.4962185Z                         auto tmp92 = tmp83 * tmp50;
2022-11-23T02:04:38.4962343Z                         auto tmp93 = in_ptr0[tmp52 + (15*tmp85)];
2022-11-23T02:04:38.4962491Z                         auto tmp94 = tmp93 / tmp92;
2022-11-23T02:04:38.4962607Z                         auto tmp95 = tmp88 & tmp55;
2022-11-23T02:04:38.4962744Z                         auto tmp96 = tmp91 + tmp94;
2022-11-23T02:04:38.4962897Z                         auto tmp97 = tmp95 ? tmp96 : tmp91;
2022-11-23T02:04:38.4963035Z                         auto tmp98 = tmp83 * tmp67;
2022-11-23T02:04:38.4963309Z                         auto tmp99 = in_ptr0[tmp69 + (15*tmp85)];
2022-11-23T02:04:38.4963454Z                         auto tmp100 = tmp99 / tmp98;
2022-11-23T02:04:38.4963595Z                         auto tmp101 = tmp88 & tmp72;
2022-11-23T02:04:38.4963720Z                         auto tmp102 = tmp97 + tmp100;
2022-11-23T02:04:38.4963875Z                         auto tmp103 = tmp101 ? tmp102 : tmp97;
2022-11-23T02:04:38.4964016Z                         auto tmp104 = tmp5 + tmp59;
2022-11-23T02:04:38.4964158Z                         auto tmp105 = tmp104 * tmp13;
2022-11-23T02:04:38.4964378Z                         auto tmp106 = tmp105 - tmp13;
2022-11-23T02:04:38.4964523Z                         auto tmp107 = tmp106 + tmp14;
2022-11-23T02:04:38.4964693Z                         auto tmp108 = std::min(tmp107, tmp20);
2022-11-23T02:04:38.4964854Z                         auto tmp109 = std::max(tmp106, tmp4);
2022-11-23T02:04:38.4964989Z                         auto tmp110 = std::min(tmp108, tmp7);
2022-11-23T02:04:38.4965209Z                         auto tmp111 = tmp110 - tmp109;
2022-11-23T02:04:38.4965356Z                         auto tmp112 = tmp111 * tmp30;
2022-11-23T02:04:38.4965519Z                         auto tmp113 = std::min(tmp104, tmp32);
2022-11-23T02:04:38.4965733Z                         auto tmp114 = in_ptr0[tmp35 + (15*tmp113)];
2022-11-23T02:04:38.4965883Z                         auto tmp115 = tmp114 / tmp112;
2022-11-23T02:04:38.4966029Z                         auto tmp116 = tmp104 < tmp8;
2022-11-23T02:04:38.4966145Z                         auto tmp117 = tmp116 & tmp39;
2022-11-23T02:04:38.4966288Z                         auto tmp118 = tmp103 + tmp115;
2022-11-23T02:04:38.4966443Z                         auto tmp119 = tmp117 ? tmp118 : tmp103;
2022-11-23T02:04:38.4966587Z                         auto tmp120 = tmp111 * tmp50;
2022-11-23T02:04:38.4966751Z                         auto tmp121 = in_ptr0[tmp52 + (15*tmp113)];
2022-11-23T02:04:38.4966902Z                         auto tmp122 = tmp121 / tmp120;
2022-11-23T02:04:38.4967046Z                         auto tmp123 = tmp116 & tmp55;
2022-11-23T02:04:38.4967186Z                         auto tmp124 = tmp119 + tmp122;
2022-11-23T02:04:38.4967320Z                         auto tmp125 = tmp123 ? tmp124 : tmp119;
2022-11-23T02:04:38.4967460Z                         auto tmp126 = tmp111 * tmp67;
2022-11-23T02:04:38.4967624Z                         auto tmp127 = in_ptr0[tmp69 + (15*tmp113)];
2022-11-23T02:04:38.4967767Z                         auto tmp128 = tmp127 / tmp126;
2022-11-23T02:04:38.4967910Z                         auto tmp129 = tmp116 & tmp72;
2022-11-23T02:04:38.4968053Z                         auto tmp130 = tmp125 + tmp128;
2022-11-23T02:04:38.4968212Z                         auto tmp131 = tmp129 ? tmp130 : tmp125;
2022-11-23T02:04:38.4968335Z                         out_ptr0[i1 + (15*i0)] = tmp131;
2022-11-23T02:04:38.4968442Z                     }
2022-11-23T02:04:38.4968547Z                 }
2022-11-23T02:04:38.4968661Z             }
2022-11-23T02:04:38.4968763Z         }
2022-11-23T02:04:38.4968861Z     }
2022-11-23T02:04:38.4968962Z }
2022-11-23T02:04:38.4969078Z ''')
2022-11-23T02:04:38.4969103Z 
2022-11-23T02:04:38.4969122Z 
2022-11-23T02:04:38.4969266Z async_compile.wait(globals())
2022-11-23T02:04:38.4969383Z del async_compile
2022-11-23T02:04:38.4969403Z 
2022-11-23T02:04:38.4969515Z def call(args):
2022-11-23T02:04:38.4969636Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.4969748Z     args.clear()
2022-11-23T02:04:38.4970066Z     buf0 = empty_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4970258Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.4970343Z     del arg0_1
2022-11-23T02:04:38.4970456Z     return (buf0, )
2022-11-23T02:04:38.4970476Z 
2022-11-23T02:04:38.4970495Z 
2022-11-23T02:04:38.4970611Z if __name__ == "__main__":
2022-11-23T02:04:38.4970779Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.4971078Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.4971381Z     arg0_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4971654Z     arg1_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.4971822Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.4972293Z [2022-11-23 01:51:14,653] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ev/cev3er4a5ysgx4z32wx6pocrbko73wtd3oldv65vsbrgi2cxwr3f.py
2022-11-23T02:04:38.4972658Z [2022-11-23 01:51:14,653] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 31
2022-11-23T02:04:38.4972678Z 
2022-11-23T02:04:38.4972787Z ok (2.849s)
2022-11-23T02:04:38.4973228Z   test_avg_pool2d_backward3_cpu (__main__.CpuTests) ... [2022-11-23 01:51:14,677] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.4973664Z [2022-11-23 01:51:14,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.4973966Z [2022-11-23 01:51:14,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.4974386Z [2022-11-23 01:51:14,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.4974774Z [2022-11-23 01:51:14,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.4975223Z [2022-11-23 01:51:14,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4975693Z [2022-11-23 01:51:14,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4976611Z [2022-11-23 01:51:14,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.4977531Z [2022-11-23 01:51:14,678] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f7ac30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4078> 
2022-11-23T02:04:38.4977769Z  4079           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.4977987Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T02:04:38.4978011Z 
2022-11-23T02:04:38.4978151Z 4080           4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.4978170Z 
2022-11-23T02:04:38.4978304Z 4081           6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.4978323Z 
2022-11-23T02:04:38.4978459Z 4082           8 LOAD_CONST               1 (1)
2022-11-23T02:04:38.4978596Z               10 LOAD_CONST               1 (1)
2022-11-23T02:04:38.4978733Z               12 BUILD_LIST               2
2022-11-23T02:04:38.4978757Z 
2022-11-23T02:04:38.4978867Z 4083          14 LOAD_CONST               2 (2)
2022-11-23T02:04:38.4978995Z               16 LOAD_CONST               2 (2)
2022-11-23T02:04:38.5027725Z               18 BUILD_LIST               2
2022-11-23T02:04:38.5027765Z 
2022-11-23T02:04:38.5027927Z 4084          20 LOAD_CONST               3 (0)
2022-11-23T02:04:38.5028064Z               22 LOAD_CONST               3 (0)
2022-11-23T02:04:38.5028195Z               24 BUILD_LIST               2
2022-11-23T02:04:38.5028215Z 
2022-11-23T02:04:38.5028367Z 4085          26 LOAD_CONST               4 (False)
2022-11-23T02:04:38.5028387Z 
2022-11-23T02:04:38.5028522Z 4086          28 LOAD_CONST               4 (False)
2022-11-23T02:04:38.5028541Z 
2022-11-23T02:04:38.5028678Z 4087          30 LOAD_CONST               0 (None)
2022-11-23T02:04:38.5028697Z 
2022-11-23T02:04:38.5028805Z 4079          32 CALL_METHOD              8
2022-11-23T02:04:38.5028924Z               34 RETURN_VALUE
2022-11-23T02:04:38.5029023Z  
2022-11-23T02:04:38.5029358Z 
2022-11-23T02:04:38.5029976Z [2022-11-23 01:51:14,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4079
2022-11-23T02:04:38.5030284Z [2022-11-23 01:51:14,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.5030737Z [2022-11-23 01:51:14,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.5031170Z [2022-11-23 01:51:14,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4080
2022-11-23T02:04:38.5031544Z [2022-11-23 01:51:14,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T02:04:38.5031969Z [2022-11-23 01:51:14,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4081
2022-11-23T02:04:38.5032384Z [2022-11-23 01:51:14,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T02:04:38.5032870Z [2022-11-23 01:51:14,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4082
2022-11-23T02:04:38.5033330Z [2022-11-23 01:51:14,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5033826Z [2022-11-23 01:51:14,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5034373Z [2022-11-23 01:51:14,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.5034806Z [2022-11-23 01:51:14,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4083
2022-11-23T02:04:38.5035291Z [2022-11-23 01:51:14,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.5035811Z [2022-11-23 01:51:14,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5036383Z [2022-11-23 01:51:14,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.5036811Z [2022-11-23 01:51:14,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4084
2022-11-23T02:04:38.5037320Z [2022-11-23 01:51:14,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.5037878Z [2022-11-23 01:51:14,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5038488Z [2022-11-23 01:51:14,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.5038913Z [2022-11-23 01:51:14,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4085
2022-11-23T02:04:38.5039466Z [2022-11-23 01:51:14,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.5039932Z [2022-11-23 01:51:14,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4086
2022-11-23T02:04:38.5040535Z [2022-11-23 01:51:14,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:38.5040957Z [2022-11-23 01:51:14,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4087
2022-11-23T02:04:38.5041717Z [2022-11-23 01:51:14,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T02:04:38.5042144Z [2022-11-23 01:51:14,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4079
2022-11-23T02:04:38.5042903Z [2022-11-23 01:51:14,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T02:04:38.5043254Z [2022-11-23 01:51:14,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.5043772Z [2022-11-23 01:51:14,691] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f7ac30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4078>
2022-11-23T02:04:38.5044113Z [2022-11-23 01:51:14,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.5044440Z [2022-11-23 01:51:14,691] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.5044803Z [2022-11-23 01:51:14,693] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.5045150Z [2022-11-23 01:51:14,700] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.5045395Z [2022-11-23 01:51:14,700] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.5045593Z  __compiled_fn_33 <eval_with_key>.212 opcode, name, target, args, kwargs
2022-11-23T02:04:38.5045727Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.5045861Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.5046110Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [1, 1], [2, 2], [0, 0], False, False, None), {}
2022-11-23T02:04:38.5046285Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T02:04:38.5046315Z 
2022-11-23T02:04:38.5046765Z [2022-11-23 01:51:14,701] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5046909Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.5047027Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5047161Z               4 BUILD_MAP                0
2022-11-23T02:04:38.5047300Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.5047430Z               8 DICT_MERGE               1
2022-11-23T02:04:38.5047562Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.5047680Z              12 RETURN_VALUE
2022-11-23T02:04:38.5047700Z 
2022-11-23T02:04:38.5047797Z  
2022-11-23T02:04:38.5048237Z [2022-11-23 01:51:14,701] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5048373Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_33)
2022-11-23T02:04:38.5048593Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5048734Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5048857Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.5048994Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5049130Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5049249Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.5049358Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.5049496Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.5049613Z              18 RETURN_VALUE
2022-11-23T02:04:38.5049634Z 
2022-11-23T02:04:38.5049733Z  
2022-11-23T02:04:38.5049998Z [2022-11-23 01:51:14,702] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.5050113Z  - 
2022-11-23T02:04:38.5050286Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.5050365Z             {
2022-11-23T02:04:38.5050568Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.5050834Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.5051010Z                 'obj_weakref': None
2022-11-23T02:04:38.5051387Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.5051495Z             }
2022-11-23T02:04:38.5051596Z             
2022-11-23T02:04:38.5051691Z  - 
2022-11-23T02:04:38.5051873Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.5051972Z             {
2022-11-23T02:04:38.5052184Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5052339Z                 'code': None,
2022-11-23T02:04:38.5052630Z                 'obj_weakref': <weakref at 0x7fa5322fa110; to 'Tensor' at 0x7fa61aa0bbf0>
2022-11-23T02:04:38.5052982Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5053087Z             }
2022-11-23T02:04:38.5053165Z             
2022-11-23T02:04:38.5053288Z  - 
2022-11-23T02:04:38.5053470Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.5053572Z             {
2022-11-23T02:04:38.5053778Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5053935Z                 'code': None,
2022-11-23T02:04:38.5054207Z                 'obj_weakref': <weakref at 0x7fa5322f89a0; to 'Tensor' at 0x7fa5504e8c20>
2022-11-23T02:04:38.5054559Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5054661Z             }
2022-11-23T02:04:38.5054761Z             
2022-11-23T02:04:38.5054874Z  - 
2022-11-23T02:04:38.5055063Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.5055164Z             {
2022-11-23T02:04:38.5055335Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.5055578Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.5055756Z                 'obj_weakref': None
2022-11-23T02:04:38.5056528Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.5056755Z             }
2022-11-23T02:04:38.5056920Z             
2022-11-23T02:04:38.5057123Z  - 
2022-11-23T02:04:38.5057397Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.5057558Z             {
2022-11-23T02:04:38.5057898Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.5058293Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.5058464Z                 'obj_weakref': None
2022-11-23T02:04:38.5058776Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.5058878Z             }
2022-11-23T02:04:38.5058954Z             
2022-11-23T02:04:38.5059068Z  - 
2022-11-23T02:04:38.5059260Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.5059359Z             {
2022-11-23T02:04:38.5059534Z                 'guard_types': None,
2022-11-23T02:04:38.5059863Z                 'code': None,
2022-11-23T02:04:38.5060033Z                 'obj_weakref': None
2022-11-23T02:04:38.5060184Z                 'guarded_class': None
2022-11-23T02:04:38.5060284Z             }
2022-11-23T02:04:38.5060385Z             
2022-11-23T02:04:38.5060747Z [2022-11-23 01:51:14,711] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 32
2022-11-23T02:04:38.5061259Z [2022-11-23 01:51:17,386] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ut/cutmdidgervjetqpsuaxwxfekvdljvvkxdlguavwpjiqaj3rpc6g.py
2022-11-23T02:04:38.5061622Z [2022-11-23 01:51:17,386] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 32
2022-11-23T02:04:38.5061646Z 
2022-11-23T02:04:38.5061789Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.5061895Z import torch
2022-11-23T02:04:38.5061980Z import random
2022-11-23T02:04:38.5062151Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.5062330Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.5062349Z 
2022-11-23T02:04:38.5062469Z aten = torch.ops.aten
2022-11-23T02:04:38.5062656Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.5062867Z async_compile = AsyncCompile()
2022-11-23T02:04:38.5062889Z 
2022-11-23T02:04:38.5062907Z 
2022-11-23T02:04:38.5063114Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.5063399Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.5063551Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.5063699Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.5063796Z {
2022-11-23T02:04:38.5063944Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.5064042Z     {
2022-11-23T02:04:38.5064162Z         #pragma omp for 
2022-11-23T02:04:38.5064294Z         for(long i0=0; i0<2016; i0+=1)
2022-11-23T02:04:38.5064375Z         {
2022-11-23T02:04:38.5064500Z             #pragma GCC ivdep
2022-11-23T02:04:38.5064629Z             for(long i1=0; i1<21; i1+=1)
2022-11-23T02:04:38.5064728Z             {
2022-11-23T02:04:38.5064849Z                 #pragma GCC ivdep
2022-11-23T02:04:38.5064993Z                 for(long i2=0; i2<21; i2+=1)
2022-11-23T02:04:38.5065096Z                 {
2022-11-23T02:04:38.5065181Z                     {
2022-11-23T02:04:38.5065288Z                         {
2022-11-23T02:04:38.5065455Z                             auto tmp0 = static_cast<int>(((1 + i1) / 2));
2022-11-23T02:04:38.5065623Z                             auto tmp1 = static_cast<int>(((1 + i2) / 2));
2022-11-23T02:04:38.5065791Z                             auto tmp2 = static_cast<int>(1 + (i1 / 2));
2022-11-23T02:04:38.5065956Z                             auto tmp3 = static_cast<int>(1 + (i2 / 2));
2022-11-23T02:04:38.5066112Z                             auto tmp4 = static_cast<int>(0);
2022-11-23T02:04:38.5066290Z                             auto tmp5 = std::max(tmp0, tmp4);
2022-11-23T02:04:38.5066454Z                             auto tmp6 = std::max(tmp1, tmp4);
2022-11-23T02:04:38.5066606Z                             auto tmp7 = static_cast<int>(11);
2022-11-23T02:04:38.5066760Z                             auto tmp8 = std::min(tmp2, tmp7);
2022-11-23T02:04:38.5066913Z                             auto tmp9 = std::min(tmp3, tmp7);
2022-11-23T02:04:38.5067058Z                             auto tmp10 = tmp5 + tmp4;
2022-11-23T02:04:38.5067200Z                             auto tmp11 = tmp6 + tmp4;
2022-11-23T02:04:38.5067348Z                             auto tmp12 = static_cast<int>(1);
2022-11-23T02:04:38.5067543Z                             auto tmp13 = tmp8 - tmp12;
2022-11-23T02:04:38.5067703Z                             auto tmp14 = std::min(tmp10, tmp13);
2022-11-23T02:04:38.5067908Z                             auto tmp15 = tmp9 - tmp12;
2022-11-23T02:04:38.5068068Z                             auto tmp16 = std::min(tmp11, tmp15);
2022-11-23T02:04:38.5068309Z                             auto tmp17 = in_ptr0[tmp16 + (11*tmp14) + (121*i0)];
2022-11-23T02:04:38.5068452Z                             auto tmp18 = tmp17 / 1;
2022-11-23T02:04:38.5068602Z                             auto tmp19 = tmp10 < tmp8;
2022-11-23T02:04:38.5068749Z                             auto tmp20 = tmp11 < tmp9;
2022-11-23T02:04:38.5068874Z                             auto tmp21 = tmp19 & tmp20;
2022-11-23T02:04:38.5069039Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T02:04:38.5069194Z                             auto tmp23 = tmp21 ? tmp18 : tmp22;
2022-11-23T02:04:38.5069350Z                             out_ptr0[i2 + (21*i1) + (441*i0)] = tmp23;
2022-11-23T02:04:38.5069454Z                         }
2022-11-23T02:04:38.5069560Z                     }
2022-11-23T02:04:38.5069667Z                 }
2022-11-23T02:04:38.5069745Z             }
2022-11-23T02:04:38.5069846Z         }
2022-11-23T02:04:38.5069949Z     }
2022-11-23T02:04:38.5070043Z }
2022-11-23T02:04:38.5070173Z ''')
2022-11-23T02:04:38.5070192Z 
2022-11-23T02:04:38.5070211Z 
2022-11-23T02:04:38.5070351Z async_compile.wait(globals())
2022-11-23T02:04:38.5070462Z del async_compile
2022-11-23T02:04:38.5070481Z 
2022-11-23T02:04:38.5070570Z def call(args):
2022-11-23T02:04:38.5070748Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.5070869Z     args.clear()
2022-11-23T02:04:38.5071186Z     buf0 = empty_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5071379Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.5071488Z     del arg0_1
2022-11-23T02:04:38.5071600Z     return (buf0, )
2022-11-23T02:04:38.5071619Z 
2022-11-23T02:04:38.5071639Z 
2022-11-23T02:04:38.5071758Z if __name__ == "__main__":
2022-11-23T02:04:38.5071902Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.5072083Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.5072396Z     arg0_1 = rand_strided((1, 2016, 11, 11), (243936, 121, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5072710Z     arg1_1 = rand_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5072881Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.5072904Z 
2022-11-23T02:04:38.5073014Z ok (2.743s)
2022-11-23T02:04:38.5073455Z   test_avg_pool2d_backward4_cpu (__main__.CpuTests) ... [2022-11-23 01:51:17,406] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.5073882Z [2022-11-23 01:51:17,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.5074161Z [2022-11-23 01:51:17,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.5074509Z [2022-11-23 01:51:17,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.5074901Z [2022-11-23 01:51:17,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.5075338Z [2022-11-23 01:51:17,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5075807Z [2022-11-23 01:51:17,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5076249Z [2022-11-23 01:51:17,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5076764Z [2022-11-23 01:51:17,407] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f7ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4101> 
2022-11-23T02:04:38.5076908Z  4102           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.5077186Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T02:04:38.5077206Z 
2022-11-23T02:04:38.5077342Z 4103           4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5077362Z 
2022-11-23T02:04:38.5077473Z 4104           6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5077521Z 
2022-11-23T02:04:38.5077635Z 4105           8 LOAD_CONST               1 (13)
2022-11-23T02:04:38.5077772Z               10 LOAD_CONST               1 (13)
2022-11-23T02:04:38.5077908Z               12 BUILD_LIST               2
2022-11-23T02:04:38.5077928Z 
2022-11-23T02:04:38.5078060Z 4106          14 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5078199Z               16 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5078334Z               18 BUILD_LIST               2
2022-11-23T02:04:38.5078355Z 
2022-11-23T02:04:38.5078487Z 4107          20 LOAD_CONST               3 (0)
2022-11-23T02:04:38.5078594Z               22 LOAD_CONST               3 (0)
2022-11-23T02:04:38.5078725Z               24 BUILD_LIST               2
2022-11-23T02:04:38.5078747Z 
2022-11-23T02:04:38.5078882Z 4108          26 LOAD_CONST               4 (True)
2022-11-23T02:04:38.5078902Z 
2022-11-23T02:04:38.5079039Z 4109          28 LOAD_CONST               5 (False)
2022-11-23T02:04:38.5079058Z 
2022-11-23T02:04:38.5079251Z 4110          30 LOAD_CONST               0 (None)
2022-11-23T02:04:38.5079272Z 
2022-11-23T02:04:38.5079408Z 4102          32 CALL_METHOD              8
2022-11-23T02:04:38.5079527Z               34 RETURN_VALUE
2022-11-23T02:04:38.5079623Z  
2022-11-23T02:04:38.5079642Z 
2022-11-23T02:04:38.5080086Z [2022-11-23 01:51:17,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4102
2022-11-23T02:04:38.5080369Z [2022-11-23 01:51:17,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.5080821Z [2022-11-23 01:51:17,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.5081261Z [2022-11-23 01:51:17,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4103
2022-11-23T02:04:38.5081636Z [2022-11-23 01:51:17,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T02:04:38.5082063Z [2022-11-23 01:51:17,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4104
2022-11-23T02:04:38.5082467Z [2022-11-23 01:51:17,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T02:04:38.5082886Z [2022-11-23 01:51:17,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4105
2022-11-23T02:04:38.5083333Z [2022-11-23 01:51:17,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5083841Z [2022-11-23 01:51:17,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5084485Z [2022-11-23 01:51:17,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.5084921Z [2022-11-23 01:51:17,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4106
2022-11-23T02:04:38.5085399Z [2022-11-23 01:51:17,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.5085901Z [2022-11-23 01:51:17,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5086572Z [2022-11-23 01:51:17,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.5087000Z [2022-11-23 01:51:17,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4107
2022-11-23T02:04:38.5087504Z [2022-11-23 01:51:17,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.5088057Z [2022-11-23 01:51:17,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5088667Z [2022-11-23 01:51:17,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.5089254Z [2022-11-23 01:51:17,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4108
2022-11-23T02:04:38.5089809Z [2022-11-23 01:51:17,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.5090231Z [2022-11-23 01:51:17,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4109
2022-11-23T02:04:38.5090832Z [2022-11-23 01:51:17,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:38.5091261Z [2022-11-23 01:51:17,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4110
2022-11-23T02:04:38.5091910Z [2022-11-23 01:51:17,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T02:04:38.5092334Z [2022-11-23 01:51:17,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4102
2022-11-23T02:04:38.5093036Z [2022-11-23 01:51:17,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T02:04:38.5093383Z [2022-11-23 01:51:17,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.5093881Z [2022-11-23 01:51:17,420] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f7ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4101>
2022-11-23T02:04:38.5094223Z [2022-11-23 01:51:17,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.5094550Z [2022-11-23 01:51:17,420] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.5094907Z [2022-11-23 01:51:17,421] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.5095250Z [2022-11-23 01:51:17,427] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.5095602Z [2022-11-23 01:51:17,427] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.5095797Z  __compiled_fn_34 <eval_with_key>.218 opcode, name, target, args, kwargs
2022-11-23T02:04:38.5095932Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.5096492Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.5096890Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [13, 13], [1, 1], [0, 0], True, False, None), {}
2022-11-23T02:04:38.5097198Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T02:04:38.5097231Z 
2022-11-23T02:04:38.5098055Z [2022-11-23 01:51:17,428] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5098227Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.5098367Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5098499Z               4 BUILD_MAP                0
2022-11-23T02:04:38.5098649Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.5098782Z               8 DICT_MERGE               1
2022-11-23T02:04:38.5098893Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.5099012Z              12 RETURN_VALUE
2022-11-23T02:04:38.5099032Z 
2022-11-23T02:04:38.5099291Z  
2022-11-23T02:04:38.5099758Z [2022-11-23 01:51:17,428] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5099919Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_34)
2022-11-23T02:04:38.5100054Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5100191Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5100314Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.5100426Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5100557Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5100674Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.5100818Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.5100951Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.5101066Z              18 RETURN_VALUE
2022-11-23T02:04:38.5101086Z 
2022-11-23T02:04:38.5101180Z  
2022-11-23T02:04:38.5101423Z [2022-11-23 01:51:17,429] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.5101541Z  - 
2022-11-23T02:04:38.5101718Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.5101821Z             {
2022-11-23T02:04:38.5102022Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.5102283Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.5102457Z                 'obj_weakref': None
2022-11-23T02:04:38.5102743Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.5102848Z             }
2022-11-23T02:04:38.5102947Z             
2022-11-23T02:04:38.5103058Z  - 
2022-11-23T02:04:38.5103243Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.5103403Z             {
2022-11-23T02:04:38.5103608Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5103743Z                 'code': None,
2022-11-23T02:04:38.5104041Z                 'obj_weakref': <weakref at 0x7fa53222ee30; to 'Tensor' at 0x7fa55017cef0>
2022-11-23T02:04:38.5104388Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5104491Z             }
2022-11-23T02:04:38.5104593Z             
2022-11-23T02:04:38.5104707Z  - 
2022-11-23T02:04:38.5104882Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.5104960Z             {
2022-11-23T02:04:38.5105164Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5105320Z                 'code': None,
2022-11-23T02:04:38.5105606Z                 'obj_weakref': <weakref at 0x7fa5322252b0; to 'Tensor' at 0x7fa6237e0fe0>
2022-11-23T02:04:38.5105953Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5106159Z             }
2022-11-23T02:04:38.5106262Z             
2022-11-23T02:04:38.5106353Z  - 
2022-11-23T02:04:38.5106544Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.5106646Z             {
2022-11-23T02:04:38.5106839Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.5107079Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.5107256Z                 'obj_weakref': None
2022-11-23T02:04:38.5107574Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.5107652Z             }
2022-11-23T02:04:38.5107754Z             
2022-11-23T02:04:38.5107870Z  - 
2022-11-23T02:04:38.5108044Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.5108145Z             {
2022-11-23T02:04:38.5108340Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.5108632Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.5108787Z                 'obj_weakref': None
2022-11-23T02:04:38.5109094Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.5109251Z             }
2022-11-23T02:04:38.5109354Z             
2022-11-23T02:04:38.5109464Z  - 
2022-11-23T02:04:38.5109653Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.5109755Z             {
2022-11-23T02:04:38.5109905Z                 'guard_types': None,
2022-11-23T02:04:38.5110063Z                 'code': None,
2022-11-23T02:04:38.5110232Z                 'obj_weakref': None
2022-11-23T02:04:38.5110404Z                 'guarded_class': None
2022-11-23T02:04:38.5110505Z             }
2022-11-23T02:04:38.5110605Z             
2022-11-23T02:04:38.5110960Z [2022-11-23 01:51:17,438] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 33
2022-11-23T02:04:38.5111273Z [2022-11-23 01:51:17,442] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.avg_pool2d_backward
2022-11-23T02:04:38.5111764Z [2022-11-23 01:51:17,446] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/37/c37phnzohstu2bnctx63h2ybszr3lpto2zu2sicmt5a64t35h3aw.py
2022-11-23T02:04:38.5112128Z [2022-11-23 01:51:17,446] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 33
2022-11-23T02:04:38.5112149Z 
2022-11-23T02:04:38.5112293Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.5112403Z import torch
2022-11-23T02:04:38.5112517Z import random
2022-11-23T02:04:38.5112686Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.5112863Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.5112883Z 
2022-11-23T02:04:38.5112981Z aten = torch.ops.aten
2022-11-23T02:04:38.5113177Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.5113320Z async_compile = AsyncCompile()
2022-11-23T02:04:38.5113342Z 
2022-11-23T02:04:38.5113360Z 
2022-11-23T02:04:38.5113495Z async_compile.wait(globals())
2022-11-23T02:04:38.5113607Z del async_compile
2022-11-23T02:04:38.5113626Z 
2022-11-23T02:04:38.5113741Z def call(args):
2022-11-23T02:04:38.5113857Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.5113970Z     args.clear()
2022-11-23T02:04:38.5114156Z     buf0 = aten.avg_pool2d_backward(arg0_1, arg1_1, [13, 13], [1, 1], [0, 0], True, False, None)
2022-11-23T02:04:38.5114265Z     del arg0_1
2022-11-23T02:04:38.5114370Z     del arg1_1
2022-11-23T02:04:38.5114473Z     buf1 = buf0
2022-11-23T02:04:38.5114630Z     assert_size_stride(buf1, (1, 16, 24, 24), (9216, 576, 24, 1))
2022-11-23T02:04:38.5114735Z     del buf0
2022-11-23T02:04:38.5114847Z     return (buf1, )
2022-11-23T02:04:38.5114867Z 
2022-11-23T02:04:38.5114885Z 
2022-11-23T02:04:38.5114984Z if __name__ == "__main__":
2022-11-23T02:04:38.5115154Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.5115333Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.5115715Z     arg0_1 = rand_strided((1, 16, 12, 12), (2304, 144, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5116021Z     arg1_1 = rand_strided((1, 16, 24, 24), (9216, 576, 24, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5116192Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.5116212Z 
2022-11-23T02:04:38.5116322Z ok (0.053s)
2022-11-23T02:04:38.5116766Z   test_avg_pool2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:51:17,458] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.5117169Z [2022-11-23 01:51:17,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.5117473Z [2022-11-23 01:51:17,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.5117820Z [2022-11-23 01:51:17,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.5118206Z [2022-11-23 01:51:17,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.5118697Z [2022-11-23 01:51:17,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5119175Z [2022-11-23 01:51:17,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5119614Z [2022-11-23 01:51:17,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5120127Z [2022-11-23 01:51:17,459] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f7a970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4036> 
2022-11-23T02:04:38.5120273Z  4037           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.5120440Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T02:04:38.5120461Z 
2022-11-23T02:04:38.5120576Z 4038           4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5120618Z 
2022-11-23T02:04:38.5120734Z 4039           6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5120754Z 
2022-11-23T02:04:38.5120889Z 4040           8 LOAD_CONST               1 (2)
2022-11-23T02:04:38.5121022Z               10 LOAD_CONST               1 (2)
2022-11-23T02:04:38.5121154Z               12 BUILD_LIST               2
2022-11-23T02:04:38.5121174Z 
2022-11-23T02:04:38.5121309Z 4041          14 LOAD_CONST               1 (2)
2022-11-23T02:04:38.5121440Z               16 LOAD_CONST               1 (2)
2022-11-23T02:04:38.5121572Z               18 BUILD_LIST               2
2022-11-23T02:04:38.5121591Z 
2022-11-23T02:04:38.5121722Z 4042          20 LOAD_CONST               2 (0)
2022-11-23T02:04:38.5121829Z               22 LOAD_CONST               2 (0)
2022-11-23T02:04:38.5121966Z               24 BUILD_LIST               2
2022-11-23T02:04:38.5121985Z 
2022-11-23T02:04:38.5122123Z 4043          26 LOAD_CONST               3 (True)
2022-11-23T02:04:38.5122143Z 
2022-11-23T02:04:38.5122286Z 4044          28 LOAD_CONST               4 (False)
2022-11-23T02:04:38.5122305Z 
2022-11-23T02:04:38.5122441Z 4045          30 LOAD_CONST               0 (None)
2022-11-23T02:04:38.5122460Z 
2022-11-23T02:04:38.5122594Z 4037          32 CALL_METHOD              8
2022-11-23T02:04:38.5122715Z               34 RETURN_VALUE
2022-11-23T02:04:38.5122813Z  
2022-11-23T02:04:38.5122834Z 
2022-11-23T02:04:38.5123273Z [2022-11-23 01:51:17,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4037
2022-11-23T02:04:38.5123554Z [2022-11-23 01:51:17,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.5124004Z [2022-11-23 01:51:17,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.5124507Z [2022-11-23 01:51:17,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4038
2022-11-23T02:04:38.5124881Z [2022-11-23 01:51:17,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T02:04:38.5125300Z [2022-11-23 01:51:17,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4039
2022-11-23T02:04:38.5125753Z [2022-11-23 01:51:17,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T02:04:38.5126320Z [2022-11-23 01:51:17,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4040
2022-11-23T02:04:38.5126767Z [2022-11-23 01:51:17,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5127311Z [2022-11-23 01:51:17,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5127870Z [2022-11-23 01:51:17,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.5128291Z [2022-11-23 01:51:17,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4041
2022-11-23T02:04:38.5128750Z [2022-11-23 01:51:17,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.5129276Z [2022-11-23 01:51:17,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5129852Z [2022-11-23 01:51:17,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.5130279Z [2022-11-23 01:51:17,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4042
2022-11-23T02:04:38.5130783Z [2022-11-23 01:51:17,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.5131337Z [2022-11-23 01:51:17,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5131960Z [2022-11-23 01:51:17,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.5132379Z [2022-11-23 01:51:17,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4043
2022-11-23T02:04:38.5132918Z [2022-11-23 01:51:17,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.5133339Z [2022-11-23 01:51:17,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4044
2022-11-23T02:04:38.5133941Z [2022-11-23 01:51:17,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:38.5134475Z [2022-11-23 01:51:17,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4045
2022-11-23T02:04:38.5135129Z [2022-11-23 01:51:17,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T02:04:38.5135550Z [2022-11-23 01:51:17,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4037
2022-11-23T02:04:38.5136861Z [2022-11-23 01:51:17,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T02:04:38.5137471Z [2022-11-23 01:51:17,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.5138434Z [2022-11-23 01:51:17,472] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f7a970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4036>
2022-11-23T02:04:38.5138811Z [2022-11-23 01:51:17,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.5139135Z [2022-11-23 01:51:17,472] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.5139477Z [2022-11-23 01:51:17,474] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.5139817Z [2022-11-23 01:51:17,479] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.5140087Z [2022-11-23 01:51:17,479] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.5140279Z  __compiled_fn_35 <eval_with_key>.224 opcode, name, target, args, kwargs
2022-11-23T02:04:38.5140417Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.5140525Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.5140770Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [2, 2], [2, 2], [0, 0], True, False, None), {}
2022-11-23T02:04:38.5140938Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T02:04:38.5140966Z 
2022-11-23T02:04:38.5141398Z [2022-11-23 01:51:17,480] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5141538Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.5141673Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5141806Z               4 BUILD_MAP                0
2022-11-23T02:04:38.5141946Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.5142052Z               8 DICT_MERGE               1
2022-11-23T02:04:38.5142182Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.5142297Z              12 RETURN_VALUE
2022-11-23T02:04:38.5142317Z 
2022-11-23T02:04:38.5142408Z  
2022-11-23T02:04:38.5142840Z [2022-11-23 01:51:17,480] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5142997Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_35)
2022-11-23T02:04:38.5143128Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5143257Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5143353Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.5143482Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5143607Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5143855Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.5143983Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.5144115Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.5144228Z              18 RETURN_VALUE
2022-11-23T02:04:38.5144248Z 
2022-11-23T02:04:38.5144328Z  
2022-11-23T02:04:38.5144586Z [2022-11-23 01:51:17,481] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.5144692Z  - 
2022-11-23T02:04:38.5144860Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.5144958Z             {
2022-11-23T02:04:38.5145156Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.5145407Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.5145561Z                 'obj_weakref': None
2022-11-23T02:04:38.5145874Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.5145970Z             }
2022-11-23T02:04:38.5146067Z             
2022-11-23T02:04:38.5146176Z  - 
2022-11-23T02:04:38.5146349Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.5146444Z             {
2022-11-23T02:04:38.5146624Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5146776Z                 'code': None,
2022-11-23T02:04:38.5147117Z                 'obj_weakref': <weakref at 0x7fa532240810; to 'Tensor' at 0x7fa5500ca8e0>
2022-11-23T02:04:38.5147469Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5147571Z             }
2022-11-23T02:04:38.5147674Z             
2022-11-23T02:04:38.5147785Z  - 
2022-11-23T02:04:38.5147941Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.5148045Z             {
2022-11-23T02:04:38.5148247Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5148404Z                 'code': None,
2022-11-23T02:04:38.5148691Z                 'obj_weakref': <weakref at 0x7fa532240a90; to 'Tensor' at 0x7fa5504e8c20>
2022-11-23T02:04:38.5149042Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5149143Z             }
2022-11-23T02:04:38.5149219Z             
2022-11-23T02:04:38.5149330Z  - 
2022-11-23T02:04:38.5149528Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.5149630Z             {
2022-11-23T02:04:38.5149821Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.5150057Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.5150232Z                 'obj_weakref': None
2022-11-23T02:04:38.5150526Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.5150633Z             }
2022-11-23T02:04:38.5150730Z             
2022-11-23T02:04:38.5150839Z  - 
2022-11-23T02:04:38.5151016Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.5151119Z             {
2022-11-23T02:04:38.5151311Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.5151591Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.5151768Z                 'obj_weakref': None
2022-11-23T02:04:38.5152076Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.5152174Z             }
2022-11-23T02:04:38.5152271Z             
2022-11-23T02:04:38.5152379Z  - 
2022-11-23T02:04:38.5152573Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.5152649Z             {
2022-11-23T02:04:38.5152820Z                 'guard_types': None,
2022-11-23T02:04:38.5152971Z                 'code': None,
2022-11-23T02:04:38.5153146Z                 'obj_weakref': None
2022-11-23T02:04:38.5153320Z                 'guarded_class': None
2022-11-23T02:04:38.5153420Z             }
2022-11-23T02:04:38.5153524Z             
2022-11-23T02:04:38.5153860Z [2022-11-23 01:51:17,490] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 34
2022-11-23T02:04:38.5154427Z [2022-11-23 01:51:20,182] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ct/cct5ryt4xubge4nq7r3n5bz2l6zlxu2lcfcoy723pz72ojig6pi5.py
2022-11-23T02:04:38.5154793Z [2022-11-23 01:51:20,182] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 34
2022-11-23T02:04:38.5154814Z 
2022-11-23T02:04:38.5154957Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.5155065Z import torch
2022-11-23T02:04:38.5155178Z import random
2022-11-23T02:04:38.5155346Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.5155526Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.5155546Z 
2022-11-23T02:04:38.5155644Z aten = torch.ops.aten
2022-11-23T02:04:38.5155842Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.5155983Z async_compile = AsyncCompile()
2022-11-23T02:04:38.5156002Z 
2022-11-23T02:04:38.5156021Z 
2022-11-23T02:04:38.5156225Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.5156513Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.5156686Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.5156887Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.5156989Z {
2022-11-23T02:04:38.5157114Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.5157219Z     {
2022-11-23T02:04:38.5157339Z         #pragma omp for 
2022-11-23T02:04:38.5157468Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.5157576Z         {
2022-11-23T02:04:38.5157700Z             #pragma GCC ivdep
2022-11-23T02:04:38.5157826Z             for(long i1=0; i1<14; i1+=1)
2022-11-23T02:04:38.5157904Z             {
2022-11-23T02:04:38.5158028Z                 #pragma GCC ivdep
2022-11-23T02:04:38.5158163Z                 for(long i2=0; i2<14; i2+=1)
2022-11-23T02:04:38.5158269Z                 {
2022-11-23T02:04:38.5158374Z                     {
2022-11-23T02:04:38.5158484Z                         {
2022-11-23T02:04:38.5158658Z                             auto tmp0 = static_cast<int>((i1 / 2));
2022-11-23T02:04:38.5158795Z                             auto tmp1 = static_cast<int>((i2 / 2));
2022-11-23T02:04:38.5158971Z                             auto tmp2 = static_cast<int>(1 + (i1 / 2));
2022-11-23T02:04:38.5159138Z                             auto tmp3 = static_cast<int>(1 + (i2 / 2));
2022-11-23T02:04:38.5159294Z                             auto tmp4 = static_cast<int>(0);
2022-11-23T02:04:38.5159494Z                             auto tmp5 = std::max(tmp0, tmp4);
2022-11-23T02:04:38.5159651Z                             auto tmp6 = std::max(tmp1, tmp4);
2022-11-23T02:04:38.5159807Z                             auto tmp7 = static_cast<int>(7);
2022-11-23T02:04:38.5159939Z                             auto tmp8 = std::min(tmp2, tmp7);
2022-11-23T02:04:38.5160102Z                             auto tmp9 = std::min(tmp3, tmp7);
2022-11-23T02:04:38.5160254Z                             auto tmp10 = tmp5 + tmp4;
2022-11-23T02:04:38.5160394Z                             auto tmp11 = tmp6 + tmp4;
2022-11-23T02:04:38.5160548Z                             auto tmp12 = static_cast<int>(1);
2022-11-23T02:04:38.5160779Z                             auto tmp13 = tmp8 - tmp12;
2022-11-23T02:04:38.5160943Z                             auto tmp14 = std::min(tmp10, tmp13);
2022-11-23T02:04:38.5161157Z                             auto tmp15 = tmp9 - tmp12;
2022-11-23T02:04:38.5161292Z                             auto tmp16 = std::min(tmp11, tmp15);
2022-11-23T02:04:38.5161464Z                             auto tmp17 = in_ptr0[tmp16 + (7*tmp14) + (49*i0)];
2022-11-23T02:04:38.5161612Z                             auto tmp18 = tmp17 / 4;
2022-11-23T02:04:38.5161758Z                             auto tmp19 = tmp10 < tmp8;
2022-11-23T02:04:38.5161905Z                             auto tmp20 = tmp11 < tmp9;
2022-11-23T02:04:38.5162057Z                             auto tmp21 = tmp19 & tmp20;
2022-11-23T02:04:38.5162290Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T02:04:38.5162446Z                             auto tmp23 = tmp21 ? tmp18 : tmp22;
2022-11-23T02:04:38.5162580Z                             out_ptr0[i2 + (14*i1) + (196*i0)] = tmp23;
2022-11-23T02:04:38.5162703Z                         }
2022-11-23T02:04:38.5162808Z                     }
2022-11-23T02:04:38.5162913Z                 }
2022-11-23T02:04:38.5163016Z             }
2022-11-23T02:04:38.5163114Z         }
2022-11-23T02:04:38.5163190Z     }
2022-11-23T02:04:38.5163284Z }
2022-11-23T02:04:38.5163416Z ''')
2022-11-23T02:04:38.5163435Z 
2022-11-23T02:04:38.5163454Z 
2022-11-23T02:04:38.5163594Z async_compile.wait(globals())
2022-11-23T02:04:38.5163708Z del async_compile
2022-11-23T02:04:38.5163727Z 
2022-11-23T02:04:38.5163838Z def call(args):
2022-11-23T02:04:38.5163960Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.5164078Z     args.clear()
2022-11-23T02:04:38.5164361Z     buf0 = empty_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5164565Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.5164672Z     del arg0_1
2022-11-23T02:04:38.5164786Z     return (buf0, )
2022-11-23T02:04:38.5164806Z 
2022-11-23T02:04:38.5164885Z 
2022-11-23T02:04:38.5165013Z if __name__ == "__main__":
2022-11-23T02:04:38.5165179Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.5165361Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.5165665Z     arg0_1 = rand_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5165940Z     arg1_1 = rand_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5166111Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.5166132Z 
2022-11-23T02:04:38.5166237Z ok (2.732s)
2022-11-23T02:04:38.5166659Z   test_baddbmm_cpu (__main__.CpuTests) ... [2022-11-23 01:51:20,193] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.5167095Z [2022-11-23 01:51:20,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.5167401Z [2022-11-23 01:51:20,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.5167748Z [2022-11-23 01:51:20,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.5168135Z [2022-11-23 01:51:20,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.5168570Z [2022-11-23 01:51:20,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5169018Z [2022-11-23 01:51:20,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5169460Z [2022-11-23 01:51:20,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5169974Z [2022-11-23 01:51:20,194] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8b1b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3409> 
2022-11-23T02:04:38.5170120Z  3410           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.5170263Z                2 LOAD_METHOD              1 (baddbmm)
2022-11-23T02:04:38.5170396Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5170536Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5170673Z                8 LOAD_FAST                2 (c)
2022-11-23T02:04:38.5170811Z               10 CALL_METHOD              3
2022-11-23T02:04:38.5170907Z               12 RETURN_VALUE
2022-11-23T02:04:38.5171002Z  
2022-11-23T02:04:38.5171105Z 
2022-11-23T02:04:38.5171545Z [2022-11-23 01:51:20,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3410
2022-11-23T02:04:38.5171847Z [2022-11-23 01:51:20,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.5172260Z [2022-11-23 01:51:20,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR baddbmm [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.5172605Z [2022-11-23 01:51:20,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.baddbmm)]
2022-11-23T02:04:38.5172989Z [2022-11-23 01:51:20,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.baddbmm), TensorVariable()]
2022-11-23T02:04:38.5173411Z [2022-11-23 01:51:20,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.baddbmm), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5173871Z [2022-11-23 01:51:20,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.baddbmm), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5174194Z [2022-11-23 01:51:20,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.5174771Z [2022-11-23 01:51:20,205] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8b1b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3409>
2022-11-23T02:04:38.5175115Z [2022-11-23 01:51:20,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.5175433Z [2022-11-23 01:51:20,205] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.5175781Z [2022-11-23 01:51:20,207] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.5176642Z [2022-11-23 01:51:20,215] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.5177122Z [2022-11-23 01:51:20,215] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.5177437Z  __compiled_fn_36 <eval_with_key>.230 opcode, name, target, args, kwargs
2022-11-23T02:04:38.5177655Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.5177842Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.5178048Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:38.5178334Z call_function, baddbmm, aten.baddbmm, (ex_0_, ex_1_, ex_2_), {}
2022-11-23T02:04:38.5178524Z output, output, output, ((baddbmm,),), {}
2022-11-23T02:04:38.5178547Z 
2022-11-23T02:04:38.5178998Z [2022-11-23 01:51:20,216] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5179137Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.5179267Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5179400Z               4 BUILD_MAP                0
2022-11-23T02:04:38.5179523Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.5179652Z               8 DICT_MERGE               1
2022-11-23T02:04:38.5179783Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.5179902Z              12 RETURN_VALUE
2022-11-23T02:04:38.5179922Z 
2022-11-23T02:04:38.5180017Z  
2022-11-23T02:04:38.5180449Z [2022-11-23 01:51:20,216] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5180605Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_36)
2022-11-23T02:04:38.5180736Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5180848Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5180962Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.5181090Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5181222Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5181520Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.5181650Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5181777Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:38.5181871Z              18 BINARY_SUBSCR
2022-11-23T02:04:38.5182005Z              20 CALL_FUNCTION            3
2022-11-23T02:04:38.5182138Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.5182248Z              24 RETURN_VALUE
2022-11-23T02:04:38.5182268Z 
2022-11-23T02:04:38.5182360Z  
2022-11-23T02:04:38.5182625Z [2022-11-23 01:51:20,218] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.5182733Z  - 
2022-11-23T02:04:38.5182882Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.5182982Z             {
2022-11-23T02:04:38.5183178Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.5183439Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:38.5183608Z                 'obj_weakref': None
2022-11-23T02:04:38.5183920Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.5184079Z             }
2022-11-23T02:04:38.5184158Z             
2022-11-23T02:04:38.5184264Z  - 
2022-11-23T02:04:38.5184517Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.5184623Z             {
2022-11-23T02:04:38.5184893Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5185050Z                 'code': None,
2022-11-23T02:04:38.5185337Z                 'obj_weakref': <weakref at 0x7fa5320888b0; to 'Tensor' at 0x7fa53227fe20>
2022-11-23T02:04:38.5185661Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5185760Z             }
2022-11-23T02:04:38.5185857Z             
2022-11-23T02:04:38.5185964Z  - 
2022-11-23T02:04:38.5186136Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.5186233Z             {
2022-11-23T02:04:38.5186432Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5186575Z                 'code': None,
2022-11-23T02:04:38.5186861Z                 'obj_weakref': <weakref at 0x7fa53208bce0; to 'Tensor' at 0x7fa61a791800>
2022-11-23T02:04:38.5187204Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5187301Z             }
2022-11-23T02:04:38.5187397Z             
2022-11-23T02:04:38.5187502Z  - 
2022-11-23T02:04:38.5187678Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:38.5187756Z             {
2022-11-23T02:04:38.5187954Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5188107Z                 'code': None,
2022-11-23T02:04:38.5188387Z                 'obj_weakref': <weakref at 0x7fa53208a3e0; to 'Tensor' at 0x7fa5500ca8e0>
2022-11-23T02:04:38.5188724Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5188821Z             }
2022-11-23T02:04:38.5188922Z             
2022-11-23T02:04:38.5189010Z  - 
2022-11-23T02:04:38.5189194Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.5189291Z             {
2022-11-23T02:04:38.5189485Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.5189722Z                 'code': ['___check_obj_id(model, 140351536794640)'],
2022-11-23T02:04:38.5189893Z                 'obj_weakref': None
2022-11-23T02:04:38.5190205Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.5190282Z             }
2022-11-23T02:04:38.5190384Z             
2022-11-23T02:04:38.5190491Z  - 
2022-11-23T02:04:38.5190662Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.5190758Z             {
2022-11-23T02:04:38.5190944Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.5191236Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.5191385Z                 'obj_weakref': None
2022-11-23T02:04:38.5191758Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.5191855Z             }
2022-11-23T02:04:38.5191950Z             
2022-11-23T02:04:38.5192057Z  - 
2022-11-23T02:04:38.5192244Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.5192340Z             {
2022-11-23T02:04:38.5192491Z                 'guard_types': None,
2022-11-23T02:04:38.5192643Z                 'code': None,
2022-11-23T02:04:38.5192809Z                 'obj_weakref': None
2022-11-23T02:04:38.5192981Z                 'guarded_class': None
2022-11-23T02:04:38.5193079Z             }
2022-11-23T02:04:38.5193176Z             
2022-11-23T02:04:38.5193527Z [2022-11-23 01:51:20,228] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 35
2022-11-23T02:04:38.5193998Z [2022-11-23 01:51:22,878] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/du/cduwpx3kj2b3ossgod64guag5v5i6mb6znb4j7dnfvumzqtebkw7.py
2022-11-23T02:04:38.5194359Z [2022-11-23 01:51:22,879] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 35
2022-11-23T02:04:38.5194379Z 
2022-11-23T02:04:38.5194518Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.5194684Z import torch
2022-11-23T02:04:38.5194797Z import random
2022-11-23T02:04:38.5194963Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.5195133Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.5195153Z 
2022-11-23T02:04:38.5195268Z aten = torch.ops.aten
2022-11-23T02:04:38.5195437Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.5195572Z async_compile = AsyncCompile()
2022-11-23T02:04:38.5195591Z 
2022-11-23T02:04:38.5195610Z 
2022-11-23T02:04:38.5195808Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.5196087Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.5196255Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:38.5196405Z                        const float* __restrict__ in_ptr0)
2022-11-23T02:04:38.5196499Z {
2022-11-23T02:04:38.5196640Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.5196715Z     {
2022-11-23T02:04:38.5196852Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.5196973Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T02:04:38.5197068Z         {
2022-11-23T02:04:38.5197192Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T02:04:38.5197292Z             {
2022-11-23T02:04:38.5197403Z                 for(long i2=0; i2<12; i2+=1)
2022-11-23T02:04:38.5197500Z                 {
2022-11-23T02:04:38.5197731Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (100*i0));
2022-11-23T02:04:38.5197942Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (8*i2) + (100*i1) + (12800*i0));
2022-11-23T02:04:38.5198077Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.5198250Z                     tmp2.store(in_out_ptr0 + (8*i2) + (100*i1) + (12800*i0));
2022-11-23T02:04:38.5198348Z                 }
2022-11-23T02:04:38.5198489Z                 #pragma omp simd simdlen(4) 
2022-11-23T02:04:38.5198607Z                 for(long i2=96; i2<100; i2+=1)
2022-11-23T02:04:38.5198705Z                 {
2022-11-23T02:04:38.5198848Z                     auto tmp0 = in_ptr0[i2 + (100*i0)];
2022-11-23T02:04:38.5199008Z                     auto tmp1 = in_out_ptr0[i2 + (100*i1) + (12800*i0)];
2022-11-23T02:04:38.5199141Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.5199287Z                     in_out_ptr0[i2 + (100*i1) + (12800*i0)] = tmp2;
2022-11-23T02:04:38.5199385Z                 }
2022-11-23T02:04:38.5199462Z             }
2022-11-23T02:04:38.5199557Z         }
2022-11-23T02:04:38.5199652Z     }
2022-11-23T02:04:38.5199745Z }
2022-11-23T02:04:38.5199869Z ''')
2022-11-23T02:04:38.5199890Z 
2022-11-23T02:04:38.5199909Z 
2022-11-23T02:04:38.5200105Z async_compile.wait(globals())
2022-11-23T02:04:38.5200214Z del async_compile
2022-11-23T02:04:38.5200233Z 
2022-11-23T02:04:38.5200321Z def call(args):
2022-11-23T02:04:38.5200442Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:38.5200549Z     args.clear()
2022-11-23T02:04:38.5200854Z     buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5200993Z     aten.bmm.out(arg1_1, arg2_1, out=buf0)
2022-11-23T02:04:38.5201094Z     del arg1_1
2022-11-23T02:04:38.5201195Z     del arg2_1
2022-11-23T02:04:38.5201300Z     buf1 = buf0; del buf0  # reuse
2022-11-23T02:04:38.5201483Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2022-11-23T02:04:38.5201584Z     del arg0_1
2022-11-23T02:04:38.5201690Z     return (buf1, )
2022-11-23T02:04:38.5201710Z 
2022-11-23T02:04:38.5201728Z 
2022-11-23T02:04:38.5201841Z if __name__ == "__main__":
2022-11-23T02:04:38.5202000Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.5202183Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.5202474Z     arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5202797Z     arg1_1 = rand_strided((6, 128, 64), (8192, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5203096Z     arg2_1 = rand_strided((6, 64, 100), (6400, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5203268Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:38.5203288Z 
2022-11-23T02:04:38.5203387Z ok (2.699s)
2022-11-23T02:04:38.5203808Z   test_batch_norm_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:51:22,889] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.5204235Z [2022-11-23 01:51:22,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.5204532Z [2022-11-23 01:51:22,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.5204874Z [2022-11-23 01:51:22,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.5205240Z [2022-11-23 01:51:22,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.5205699Z [2022-11-23 01:51:22,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5206227Z [2022-11-23 01:51:22,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5206646Z [2022-11-23 01:51:22,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5206977Z [2022-11-23 01:51:22,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.5207299Z [2022-11-23 01:51:22,915] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.5207639Z [2022-11-23 01:51:22,916] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.5207985Z [2022-11-23 01:51:22,938] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.5208251Z [2022-11-23 01:51:22,938] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.5208443Z  __compiled_fn_37 <eval_with_key>.236 opcode, name, target, args, kwargs
2022-11-23T02:04:38.5208553Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.5208695Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.5208837Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T02:04:38.5208978Z output, output, output, ((model_1,),), {}
2022-11-23T02:04:38.5208997Z 
2022-11-23T02:04:38.5209432Z [2022-11-23 01:51:22,939] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5209698Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.5209831Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5209963Z               4 BUILD_MAP                0
2022-11-23T02:04:38.5210080Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.5210205Z               8 DICT_MERGE               1
2022-11-23T02:04:38.5210334Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.5210447Z              12 RETURN_VALUE
2022-11-23T02:04:38.5210467Z 
2022-11-23T02:04:38.5210560Z  
2022-11-23T02:04:38.5210998Z [2022-11-23 01:51:22,939] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5211154Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_37)
2022-11-23T02:04:38.5211286Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5211409Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5211524Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.5211654Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.5211786Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.5211958Z              12 RETURN_VALUE
2022-11-23T02:04:38.5211980Z 
2022-11-23T02:04:38.5212081Z  
2022-11-23T02:04:38.5212345Z [2022-11-23 01:51:22,940] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.5212432Z  - 
2022-11-23T02:04:38.5212600Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.5212699Z             {
2022-11-23T02:04:38.5212897Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.5213155Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.5213323Z                 'obj_weakref': None
2022-11-23T02:04:38.5213633Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.5213719Z             }
2022-11-23T02:04:38.5213816Z             
2022-11-23T02:04:38.5213920Z  - 
2022-11-23T02:04:38.5214096Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.5214194Z             {
2022-11-23T02:04:38.5214394Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5214558Z                 'code': None,
2022-11-23T02:04:38.5214828Z                 'obj_weakref': <weakref at 0x7fa532089490; to 'Tensor' at 0x7fa5321622f0>
2022-11-23T02:04:38.5215169Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5215265Z             }
2022-11-23T02:04:38.5215364Z             
2022-11-23T02:04:38.5215471Z  - 
2022-11-23T02:04:38.5215645Z             local 'model' NN_MODULE
2022-11-23T02:04:38.5215741Z             {
2022-11-23T02:04:38.5215915Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.5216842Z                 'code': ['___check_obj_id(model, 140347993502000)'],
2022-11-23T02:04:38.5217308Z                 'obj_weakref': <weakref at 0x7fa53208b0b0; to 'Sequential' at 0x7fa5504c3130>
2022-11-23T02:04:38.5217631Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.5217730Z             }
2022-11-23T02:04:38.5217831Z             
2022-11-23T02:04:38.5217935Z  - 
2022-11-23T02:04:38.5218089Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.5218186Z             {
2022-11-23T02:04:38.5218375Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.5218673Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.5218842Z                 'obj_weakref': None
2022-11-23T02:04:38.5219145Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.5219241Z             }
2022-11-23T02:04:38.5219318Z             
2022-11-23T02:04:38.5219427Z  - 
2022-11-23T02:04:38.5219625Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.5219911Z             {
2022-11-23T02:04:38.5220085Z                 'guard_types': None,
2022-11-23T02:04:38.5220237Z                 'code': None,
2022-11-23T02:04:38.5220405Z                 'obj_weakref': None
2022-11-23T02:04:38.5220562Z                 'guarded_class': None
2022-11-23T02:04:38.5220659Z             }
2022-11-23T02:04:38.5220752Z             
2022-11-23T02:04:38.5220856Z  - 
2022-11-23T02:04:38.5221064Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.5221161Z             {
2022-11-23T02:04:38.5221331Z                 'guard_types': None,
2022-11-23T02:04:38.5221464Z                 'code': None,
2022-11-23T02:04:38.5221631Z                 'obj_weakref': None
2022-11-23T02:04:38.5221799Z                 'guarded_class': None
2022-11-23T02:04:38.5221896Z             }
2022-11-23T02:04:38.5221992Z             
2022-11-23T02:04:38.5222343Z [2022-11-23 01:51:23,080] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 36
2022-11-23T02:04:38.5222839Z [2022-11-23 01:51:25,805] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cs/ccsecbjzpranlu6mpl6nx5jcwpq3wxa4zkvehoj5up3uld2zy45p.py
2022-11-23T02:04:38.5223242Z [2022-11-23 01:51:25,806] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 36
2022-11-23T02:04:38.5223584Z [2022-11-23 01:51:25,812] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.5224003Z [2022-11-23 01:51:25,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.5224297Z [2022-11-23 01:51:25,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.5224622Z [2022-11-23 01:51:25,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.5224989Z [2022-11-23 01:51:25,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.5225413Z [2022-11-23 01:51:25,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5225868Z [2022-11-23 01:51:25,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5226284Z [2022-11-23 01:51:25,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5226616Z [2022-11-23 01:51:25,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.5226911Z [2022-11-23 01:51:25,835] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.5227252Z [2022-11-23 01:51:25,837] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.5227594Z [2022-11-23 01:51:25,859] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.5227854Z [2022-11-23 01:51:25,859] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.5228044Z  __compiled_fn_38 <eval_with_key>.247 opcode, name, target, args, kwargs
2022-11-23T02:04:38.5228175Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.5228317Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.5228464Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T02:04:38.5228587Z output, output, output, ((model_1,),), {}
2022-11-23T02:04:38.5228624Z 
2022-11-23T02:04:38.5229044Z [2022-11-23 01:51:25,860] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5229181Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.5229312Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5229506Z               4 BUILD_MAP                0
2022-11-23T02:04:38.5229644Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.5229770Z               8 DICT_MERGE               1
2022-11-23T02:04:38.5229900Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.5229998Z              12 RETURN_VALUE
2022-11-23T02:04:38.5230017Z 
2022-11-23T02:04:38.5230112Z  
2022-11-23T02:04:38.5230553Z [2022-11-23 01:51:25,860] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5230708Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_38)
2022-11-23T02:04:38.5230840Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5230969Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5231083Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.5231212Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.5231327Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.5231447Z              12 RETURN_VALUE
2022-11-23T02:04:38.5231466Z 
2022-11-23T02:04:38.5231558Z  
2022-11-23T02:04:38.5231813Z [2022-11-23 01:51:25,861] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.5231922Z  - 
2022-11-23T02:04:38.5232144Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.5232247Z             {
2022-11-23T02:04:38.5232431Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.5232688Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.5232859Z                 'obj_weakref': None
2022-11-23T02:04:38.5233164Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.5233262Z             }
2022-11-23T02:04:38.5233360Z             
2022-11-23T02:04:38.5233468Z  - 
2022-11-23T02:04:38.5233625Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.5233720Z             {
2022-11-23T02:04:38.5233921Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5234079Z                 'code': None,
2022-11-23T02:04:38.5234364Z                 'obj_weakref': <weakref at 0x7fa532225bc0; to 'Tensor' at 0x7fa53218d710>
2022-11-23T02:04:38.5234712Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5234810Z             }
2022-11-23T02:04:38.5234887Z             
2022-11-23T02:04:38.5234995Z  - 
2022-11-23T02:04:38.5235166Z             local 'model' NN_MODULE
2022-11-23T02:04:38.5235264Z             {
2022-11-23T02:04:38.5235451Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.5235685Z                 'code': ['___check_obj_id(model, 140347993502000)'],
2022-11-23T02:04:38.5235982Z                 'obj_weakref': <weakref at 0x7fa53208b0b0; to 'Sequential' at 0x7fa5504c3130>
2022-11-23T02:04:38.5236285Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.5236389Z             }
2022-11-23T02:04:38.5236487Z             
2022-11-23T02:04:38.5236594Z  - 
2022-11-23T02:04:38.5236769Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.5236866Z             {
2022-11-23T02:04:38.5237058Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.5237340Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.5237509Z                 'obj_weakref': None
2022-11-23T02:04:38.5237817Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.5237918Z             }
2022-11-23T02:04:38.5238013Z             
2022-11-23T02:04:38.5238117Z  - 
2022-11-23T02:04:38.5238318Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.5238397Z             {
2022-11-23T02:04:38.5238569Z                 'guard_types': None,
2022-11-23T02:04:38.5238721Z                 'code': None,
2022-11-23T02:04:38.5238889Z                 'obj_weakref': None
2022-11-23T02:04:38.5239212Z                 'guarded_class': None
2022-11-23T02:04:38.5239309Z             }
2022-11-23T02:04:38.5239405Z             
2022-11-23T02:04:38.5239492Z  - 
2022-11-23T02:04:38.5239692Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.5239792Z             {
2022-11-23T02:04:38.5239967Z                 'guard_types': None,
2022-11-23T02:04:38.5240120Z                 'code': None,
2022-11-23T02:04:38.5240295Z                 'obj_weakref': None
2022-11-23T02:04:38.5240447Z                 'guarded_class': None
2022-11-23T02:04:38.5240546Z             }
2022-11-23T02:04:38.5240642Z             
2022-11-23T02:04:38.5240995Z [2022-11-23 01:51:26,001] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 37
2022-11-23T02:04:38.5241019Z 
2022-11-23T02:04:38.5241157Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.5241260Z import torch
2022-11-23T02:04:38.5241368Z import random
2022-11-23T02:04:38.5241533Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.5241690Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.5241709Z 
2022-11-23T02:04:38.5241827Z aten = torch.ops.aten
2022-11-23T02:04:38.5242015Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.5242217Z async_compile = AsyncCompile()
2022-11-23T02:04:38.5242239Z 
2022-11-23T02:04:38.5242257Z 
2022-11-23T02:04:38.5242453Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.5242737Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.5242906Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.5243058Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.5243186Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:38.5243335Z                        const float* __restrict__ in_ptr3,
2022-11-23T02:04:38.5243481Z                        const float* __restrict__ in_ptr4,
2022-11-23T02:04:38.5243628Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.5243767Z                        bool* __restrict__ out_ptr1)
2022-11-23T02:04:38.5243860Z {
2022-11-23T02:04:38.5244003Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.5244078Z     {
2022-11-23T02:04:38.5244215Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.5244335Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:38.5244428Z         {
2022-11-23T02:04:38.5244553Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:38.5244651Z             {
2022-11-23T02:04:38.5244777Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T02:04:38.5244857Z                 {
2022-11-23T02:04:38.5245100Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (64*i1) + (640*i0));
2022-11-23T02:04:38.5245279Z                     auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i1]);
2022-11-23T02:04:38.5245459Z                     auto tmp3 = at::vec::Vectorized<float>(in_ptr2[i1]);
2022-11-23T02:04:38.5245645Z                     auto tmp11 = at::vec::Vectorized<float>(in_ptr3[i1]);
2022-11-23T02:04:38.5245823Z                     auto tmp13 = at::vec::Vectorized<float>(in_ptr4[i1]);
2022-11-23T02:04:38.5246029Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:38.5246318Z                     auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T02:04:38.5246437Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T02:04:38.5246571Z                     auto tmp6 = tmp5.sqrt();
2022-11-23T02:04:38.5246718Z                     auto tmp7 = tmp6.reciprocal();
2022-11-23T02:04:38.5246911Z                     auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:38.5247044Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T02:04:38.5247180Z                     auto tmp10 = tmp2 * tmp9;
2022-11-23T02:04:38.5247315Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T02:04:38.5247453Z                     auto tmp14 = tmp12 + tmp13;
2022-11-23T02:04:38.5247699Z                     auto tmp15 = at::vec::clamp_min(tmp14, decltype(tmp14)(0));
2022-11-23T02:04:38.5247863Z                     tmp15.store(out_ptr0 + (8*i2) + (64*i1) + (640*i0));
2022-11-23T02:04:38.5247965Z                 }
2022-11-23T02:04:38.5248111Z                 #pragma omp simd simdlen(4) 
2022-11-23T02:04:38.5248241Z                 for(long i2=64; i2<64; i2+=1)
2022-11-23T02:04:38.5248338Z                 {
2022-11-23T02:04:38.5248490Z                     auto tmp0 = in_ptr0[i2 + (64*i1) + (640*i0)];
2022-11-23T02:04:38.5248606Z                     auto tmp1 = in_ptr1[i1];
2022-11-23T02:04:38.5248736Z                     auto tmp3 = in_ptr2[i1];
2022-11-23T02:04:38.5248864Z                     auto tmp11 = in_ptr3[i1];
2022-11-23T02:04:38.5248996Z                     auto tmp13 = in_ptr4[i1];
2022-11-23T02:04:38.5249192Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:38.5249412Z                     auto tmp4 = static_cast<float>(1e-05);
2022-11-23T02:04:38.5249546Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T02:04:38.5249669Z                     auto tmp6 = std::sqrt(tmp5);
2022-11-23T02:04:38.5249792Z                     auto tmp7 = 1 / tmp6;
2022-11-23T02:04:38.5249992Z                     auto tmp8 = static_cast<float>(1);
2022-11-23T02:04:38.5250132Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T02:04:38.5250265Z                     auto tmp10 = tmp2 * tmp9;
2022-11-23T02:04:38.5250398Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T02:04:38.5250532Z                     auto tmp14 = tmp12 + tmp13;
2022-11-23T02:04:38.5250652Z                     auto tmp15 = tmp14 * (tmp14>0);
2022-11-23T02:04:38.5250799Z                     out_ptr0[i2 + (64*i1) + (640*i0)] = tmp15;
2022-11-23T02:04:38.5250897Z                 }
2022-11-23T02:04:38.5250993Z             }
2022-11-23T02:04:38.5251089Z         }
2022-11-23T02:04:38.5251206Z         #pragma omp for 
2022-11-23T02:04:38.5251329Z         for(long i0=0; i0<1280; i0+=1)
2022-11-23T02:04:38.5251410Z         {
2022-11-23T02:04:38.5251508Z             {
2022-11-23T02:04:38.5251607Z                 {
2022-11-23T02:04:38.5251744Z                     auto tmp0 = out_ptr0[i0];
2022-11-23T02:04:38.5251896Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T02:04:38.5252031Z                     auto tmp2 = tmp0 <= tmp1;
2022-11-23T02:04:38.5252155Z                     out_ptr1[i0] = tmp2;
2022-11-23T02:04:38.5252233Z                 }
2022-11-23T02:04:38.5252330Z             }
2022-11-23T02:04:38.5252427Z         }
2022-11-23T02:04:38.5252521Z     }
2022-11-23T02:04:38.5252619Z }
2022-11-23T02:04:38.5252745Z ''')
2022-11-23T02:04:38.5252766Z 
2022-11-23T02:04:38.5252784Z 
2022-11-23T02:04:38.5252916Z async_compile.wait(globals())
2022-11-23T02:04:38.5253006Z del async_compile
2022-11-23T02:04:38.5253025Z 
2022-11-23T02:04:38.5253134Z def call(args):
2022-11-23T02:04:38.5253329Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6 = args
2022-11-23T02:04:38.5253442Z     args.clear()
2022-11-23T02:04:38.5253739Z     buf0 = empty_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5254027Z     buf1 = empty_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5254414Z     kernel_cpp_0(c_void_p(primals_6.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.5254525Z     del primals_1
2022-11-23T02:04:38.5254612Z     del primals_2
2022-11-23T02:04:38.5254784Z     return (buf0, primals_3, primals_4, primals_6, buf1, )
2022-11-23T02:04:38.5254806Z 
2022-11-23T02:04:38.5254824Z 
2022-11-23T02:04:38.5254940Z if __name__ == "__main__":
2022-11-23T02:04:38.5255104Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.5255274Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.5255634Z     primals_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5255910Z     primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5256614Z     primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5256879Z     primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5257139Z     primals_5 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.5257433Z     primals_6 = rand_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5257678Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6]))
2022-11-23T02:04:38.5257698Z 
2022-11-23T02:04:38.5258190Z [2022-11-23 01:51:28,716] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q3/cq3cj26tkjcbqz7smkyvjispyktrmjioetkvg5fgkhlvzomihri7.py
2022-11-23T02:04:38.5258558Z [2022-11-23 01:51:28,716] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 37
2022-11-23T02:04:38.5258579Z 
2022-11-23T02:04:38.5258720Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.5258828Z import torch
2022-11-23T02:04:38.5258933Z import random
2022-11-23T02:04:38.5259210Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.5259395Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.5259414Z 
2022-11-23T02:04:38.5259531Z aten = torch.ops.aten
2022-11-23T02:04:38.5259724Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.5259856Z async_compile = AsyncCompile()
2022-11-23T02:04:38.5259876Z 
2022-11-23T02:04:38.5259894Z 
2022-11-23T02:04:38.5260086Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.5260364Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.5260532Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.5260667Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.5260820Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:38.5260971Z                        const float* __restrict__ in_ptr3,
2022-11-23T02:04:38.5261117Z                        const float* __restrict__ in_ptr4,
2022-11-23T02:04:38.5261259Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.5261400Z                        bool* __restrict__ out_ptr1)
2022-11-23T02:04:38.5261491Z {
2022-11-23T02:04:38.5261613Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.5261710Z     {
2022-11-23T02:04:38.5261841Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.5261963Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T02:04:38.5262059Z         {
2022-11-23T02:04:38.5262184Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:38.5262280Z             {
2022-11-23T02:04:38.5262392Z                 for(long i2=0; i2<32; i2+=1)
2022-11-23T02:04:38.5262495Z                 {
2022-11-23T02:04:38.5262733Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (256*i1) + (2560*i0));
2022-11-23T02:04:38.5262913Z                     auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i1]);
2022-11-23T02:04:38.5263097Z                     auto tmp3 = at::vec::Vectorized<float>(in_ptr2[i1]);
2022-11-23T02:04:38.5263276Z                     auto tmp11 = at::vec::Vectorized<float>(in_ptr3[i1]);
2022-11-23T02:04:38.5263452Z                     auto tmp13 = at::vec::Vectorized<float>(in_ptr4[i1]);
2022-11-23T02:04:38.5263655Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:38.5263926Z                     auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T02:04:38.5264063Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T02:04:38.5264192Z                     auto tmp6 = tmp5.sqrt();
2022-11-23T02:04:38.5264337Z                     auto tmp7 = tmp6.reciprocal();
2022-11-23T02:04:38.5264628Z                     auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:38.5264761Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T02:04:38.5264896Z                     auto tmp10 = tmp2 * tmp9;
2022-11-23T02:04:38.5265037Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T02:04:38.5265155Z                     auto tmp14 = tmp12 + tmp13;
2022-11-23T02:04:38.5265343Z                     auto tmp15 = at::vec::clamp_min(tmp14, decltype(tmp14)(0));
2022-11-23T02:04:38.5265506Z                     tmp15.store(out_ptr0 + (8*i2) + (256*i1) + (2560*i0));
2022-11-23T02:04:38.5265607Z                 }
2022-11-23T02:04:38.5265748Z                 #pragma omp simd simdlen(4) 
2022-11-23T02:04:38.5265880Z                 for(long i2=256; i2<256; i2+=1)
2022-11-23T02:04:38.5265977Z                 {
2022-11-23T02:04:38.5266113Z                     auto tmp0 = in_ptr0[i2 + (256*i1) + (2560*i0)];
2022-11-23T02:04:38.5266248Z                     auto tmp1 = in_ptr1[i1];
2022-11-23T02:04:38.5266381Z                     auto tmp3 = in_ptr2[i1];
2022-11-23T02:04:38.5266513Z                     auto tmp11 = in_ptr3[i1];
2022-11-23T02:04:38.5266649Z                     auto tmp13 = in_ptr4[i1];
2022-11-23T02:04:38.5266848Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:38.5267133Z                     auto tmp4 = static_cast<float>(1e-05);
2022-11-23T02:04:38.5267273Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T02:04:38.5267398Z                     auto tmp6 = std::sqrt(tmp5);
2022-11-23T02:04:38.5267531Z                     auto tmp7 = 1 / tmp6;
2022-11-23T02:04:38.5267680Z                     auto tmp8 = static_cast<float>(1);
2022-11-23T02:04:38.5267809Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T02:04:38.5267940Z                     auto tmp10 = tmp2 * tmp9;
2022-11-23T02:04:38.5268074Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T02:04:38.5268204Z                     auto tmp14 = tmp12 + tmp13;
2022-11-23T02:04:38.5268325Z                     auto tmp15 = tmp14 * (tmp14>0);
2022-11-23T02:04:38.5268477Z                     out_ptr0[i2 + (256*i1) + (2560*i0)] = tmp15;
2022-11-23T02:04:38.5268577Z                 }
2022-11-23T02:04:38.5268673Z             }
2022-11-23T02:04:38.5268767Z         }
2022-11-23T02:04:38.5268887Z         #pragma omp for 
2022-11-23T02:04:38.5269011Z         for(long i0=0; i0<7680; i0+=1)
2022-11-23T02:04:38.5269088Z         {
2022-11-23T02:04:38.5269182Z             {
2022-11-23T02:04:38.5269279Z                 {
2022-11-23T02:04:38.5269411Z                     auto tmp0 = out_ptr0[i0];
2022-11-23T02:04:38.5269558Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T02:04:38.5269693Z                     auto tmp2 = tmp0 <= tmp1;
2022-11-23T02:04:38.5269797Z                     out_ptr1[i0] = tmp2;
2022-11-23T02:04:38.5269897Z                 }
2022-11-23T02:04:38.5269993Z             }
2022-11-23T02:04:38.5270092Z         }
2022-11-23T02:04:38.5270188Z     }
2022-11-23T02:04:38.5270279Z }
2022-11-23T02:04:38.5270409Z ''')
2022-11-23T02:04:38.5270429Z 
2022-11-23T02:04:38.5270447Z 
2022-11-23T02:04:38.5270563Z async_compile.wait(globals())
2022-11-23T02:04:38.5270673Z del async_compile
2022-11-23T02:04:38.5270692Z 
2022-11-23T02:04:38.5270800Z def call(args):
2022-11-23T02:04:38.5270999Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6 = args
2022-11-23T02:04:38.5271113Z     args.clear()
2022-11-23T02:04:38.5271416Z     buf0 = empty_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5271793Z     buf1 = empty_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5272172Z     kernel_cpp_0(c_void_p(primals_6.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.5272286Z     del primals_1
2022-11-23T02:04:38.5272374Z     del primals_2
2022-11-23T02:04:38.5272642Z     return (buf0, primals_3, primals_4, primals_6, buf1, )
2022-11-23T02:04:38.5272661Z 
2022-11-23T02:04:38.5272680Z 
2022-11-23T02:04:38.5272793Z if __name__ == "__main__":
2022-11-23T02:04:38.5272954Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.5273131Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.5273408Z     primals_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5273677Z     primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5273951Z     primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5274200Z     primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5274458Z     primals_5 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.5274758Z     primals_6 = rand_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5275002Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6]))
2022-11-23T02:04:38.5275023Z 
2022-11-23T02:04:38.5275127Z ok (5.836s)
2022-11-23T02:04:38.5275604Z   test_bernoulli1_cpu (__main__.CpuTests) ... [2022-11-23 01:51:28,724] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.5276041Z [2022-11-23 01:51:28,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.5276340Z [2022-11-23 01:51:28,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.5276683Z [2022-11-23 01:51:28,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.5277039Z [2022-11-23 01:51:28,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.5277468Z [2022-11-23 01:51:28,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5277940Z [2022-11-23 01:51:28,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5278372Z [2022-11-23 01:51:28,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5278873Z [2022-11-23 01:51:28,725] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f78190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3578> 
2022-11-23T02:04:38.5279013Z  3579           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5279161Z                2 LOAD_METHOD              1 (empty_like)
2022-11-23T02:04:38.5279297Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5279427Z                6 CALL_METHOD              1
2022-11-23T02:04:38.5279545Z                8 STORE_FAST               1 (b)
2022-11-23T02:04:38.5279566Z 
2022-11-23T02:04:38.5279704Z 3580          10 LOAD_GLOBAL              2 (aten)
2022-11-23T02:04:38.5279850Z               12 LOAD_METHOD              3 (bernoulli_)
2022-11-23T02:04:38.5279983Z               14 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5280111Z               16 CALL_METHOD              1
2022-11-23T02:04:38.5280240Z               18 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5280371Z               20 BUILD_TUPLE              2
2022-11-23T02:04:38.5280466Z               22 RETURN_VALUE
2022-11-23T02:04:38.5280560Z  
2022-11-23T02:04:38.5280579Z 
2022-11-23T02:04:38.5281004Z [2022-11-23 01:51:28,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3579
2022-11-23T02:04:38.5281342Z [2022-11-23 01:51:28,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.5281932Z [2022-11-23 01:51:28,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR empty_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5282379Z [2022-11-23 01:51:28,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method empty_like of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5282871Z [2022-11-23 01:51:28,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method empty_like of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5283196Z [2022-11-23 01:51:28,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T02:04:38.5283619Z [2022-11-23 01:51:28,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3580
2022-11-23T02:04:38.5283914Z [2022-11-23 01:51:28,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.5284407Z [2022-11-23 01:51:28,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bernoulli_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.5284815Z [2022-11-23 01:51:28,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.bernoulli_)]
2022-11-23T02:04:38.5285217Z [2022-11-23 01:51:28,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.bernoulli_), TensorVariable()]
2022-11-23T02:04:38.5285537Z [2022-11-23 01:51:28,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:38.5285901Z [2022-11-23 01:51:28,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5286234Z [2022-11-23 01:51:28,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.5286738Z [2022-11-23 01:51:28,738] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f78190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3578>
2022-11-23T02:04:38.5287073Z [2022-11-23 01:51:28,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.5287392Z [2022-11-23 01:51:28,739] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.5287775Z [2022-11-23 01:51:28,740] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.5288164Z [2022-11-23 01:51:28,746] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.5288429Z [2022-11-23 01:51:28,746] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.5288619Z  __compiled_fn_39 <eval_with_key>.258 opcode, name, target, args, kwargs
2022-11-23T02:04:38.5288751Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.5289085Z call_function, empty_like, <built-in method empty_like of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:38.5289277Z call_function, bernoulli_, aten.bernoulli_, (empty_like,), {}
2022-11-23T02:04:38.5289454Z output, output, output, ((bernoulli_, empty_like),), {}
2022-11-23T02:04:38.5289476Z 
2022-11-23T02:04:38.5289918Z [2022-11-23 01:51:28,747] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5290059Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.5290172Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5290296Z               4 BUILD_MAP                0
2022-11-23T02:04:38.5290432Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.5290558Z               8 DICT_MERGE               1
2022-11-23T02:04:38.5290687Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.5290800Z              12 RETURN_VALUE
2022-11-23T02:04:38.5290895Z 
2022-11-23T02:04:38.5290990Z  
2022-11-23T02:04:38.5291409Z [2022-11-23 01:51:28,747] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5291570Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_39)
2022-11-23T02:04:38.5291704Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5291835Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5291948Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.5292077Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.5292227Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.5292378Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5292490Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5292605Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.5292751Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5292884Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5293000Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.5293128Z              24 BUILD_TUPLE              2
2022-11-23T02:04:38.5293240Z              26 RETURN_VALUE
2022-11-23T02:04:38.5293260Z 
2022-11-23T02:04:38.5293338Z  
2022-11-23T02:04:38.5293661Z [2022-11-23 01:51:28,748] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.5293777Z  - 
2022-11-23T02:04:38.5293948Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.5294046Z             {
2022-11-23T02:04:38.5294245Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.5294503Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.5294657Z                 'obj_weakref': None
2022-11-23T02:04:38.5294966Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.5295063Z             }
2022-11-23T02:04:38.5295160Z             
2022-11-23T02:04:38.5295270Z  - 
2022-11-23T02:04:38.5295447Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.5295546Z             {
2022-11-23T02:04:38.5295724Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5295878Z                 'code': None,
2022-11-23T02:04:38.5296756Z                 'obj_weakref': <weakref at 0x7fa53222e520; to 'Tensor' at 0x7fa55017c9f0>
2022-11-23T02:04:38.5297378Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5297537Z             }
2022-11-23T02:04:38.5297687Z             
2022-11-23T02:04:38.5297871Z  - 
2022-11-23T02:04:38.5298157Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.5298305Z             {
2022-11-23T02:04:38.5298559Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.5298795Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.5298962Z                 'obj_weakref': None
2022-11-23T02:04:38.5299275Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.5299380Z             }
2022-11-23T02:04:38.5299457Z             
2022-11-23T02:04:38.5299565Z  - 
2022-11-23T02:04:38.5299736Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.5299838Z             {
2022-11-23T02:04:38.5300028Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.5300320Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.5300492Z                 'obj_weakref': None
2022-11-23T02:04:38.5300775Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.5300872Z             }
2022-11-23T02:04:38.5300966Z             
2022-11-23T02:04:38.5301068Z  - 
2022-11-23T02:04:38.5301247Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.5301339Z             {
2022-11-23T02:04:38.5301507Z                 'guard_types': None,
2022-11-23T02:04:38.5301838Z                 'code': None,
2022-11-23T02:04:38.5302003Z                 'obj_weakref': None
2022-11-23T02:04:38.5302173Z                 'guarded_class': None
2022-11-23T02:04:38.5302269Z             }
2022-11-23T02:04:38.5302363Z             
2022-11-23T02:04:38.5302469Z  - 
2022-11-23T02:04:38.5302638Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.5302734Z             {
2022-11-23T02:04:38.5302905Z                 'guard_types': None,
2022-11-23T02:04:38.5303053Z                 'code': None,
2022-11-23T02:04:38.5303221Z                 'obj_weakref': None
2022-11-23T02:04:38.5303390Z                 'guarded_class': None
2022-11-23T02:04:38.5303489Z             }
2022-11-23T02:04:38.5303565Z             
2022-11-23T02:04:38.5303920Z [2022-11-23 01:51:28,757] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 38
2022-11-23T02:04:38.5304413Z [2022-11-23 01:51:31,392] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pw/cpwphb2yls2knceuzv5s5yfiunkiouk7na7fysi4xylutpw55gyl.py
2022-11-23T02:04:38.5304772Z [2022-11-23 01:51:31,392] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 38
2022-11-23T02:04:38.5304797Z 
2022-11-23T02:04:38.5304933Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.5305121Z import torch
2022-11-23T02:04:38.5305233Z import random
2022-11-23T02:04:38.5305398Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.5305549Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.5305569Z 
2022-11-23T02:04:38.5305687Z aten = torch.ops.aten
2022-11-23T02:04:38.5305874Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.5306009Z async_compile = AsyncCompile()
2022-11-23T02:04:38.5306028Z 
2022-11-23T02:04:38.5306047Z 
2022-11-23T02:04:38.5306239Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.5306519Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.5306684Z extern "C" void kernel(float* __restrict__ out_ptr0)
2022-11-23T02:04:38.5306777Z {
2022-11-23T02:04:38.5306900Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.5306994Z     {
2022-11-23T02:04:38.5307108Z         #pragma omp for 
2022-11-23T02:04:38.5307234Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:38.5307329Z         {
2022-11-23T02:04:38.5307548Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T02:04:38.5307679Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.5307761Z         }
2022-11-23T02:04:38.5307899Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.5308019Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T02:04:38.5308113Z         {
2022-11-23T02:04:38.5308255Z             auto tmp0 = static_cast<float>(0);
2022-11-23T02:04:38.5308374Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:38.5308465Z         }
2022-11-23T02:04:38.5308539Z     }
2022-11-23T02:04:38.5308630Z }
2022-11-23T02:04:38.5308754Z ''')
2022-11-23T02:04:38.5308775Z 
2022-11-23T02:04:38.5308793Z 
2022-11-23T02:04:38.5308920Z async_compile.wait(globals())
2022-11-23T02:04:38.5309029Z del async_compile
2022-11-23T02:04:38.5309049Z 
2022-11-23T02:04:38.5309154Z def call(args):
2022-11-23T02:04:38.5309260Z     arg0_1, = args
2022-11-23T02:04:38.5309348Z     args.clear()
2022-11-23T02:04:38.5309621Z     buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5309771Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.5309894Z     aten.bernoulli_(buf0, )
2022-11-23T02:04:38.5310009Z     return (buf0, buf0, )
2022-11-23T02:04:38.5310029Z 
2022-11-23T02:04:38.5310047Z 
2022-11-23T02:04:38.5310159Z if __name__ == "__main__":
2022-11-23T02:04:38.5310318Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.5310493Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.5310748Z     arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5310970Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.5310989Z 
2022-11-23T02:04:38.5311090Z ok (2.676s)
2022-11-23T02:04:38.5311512Z   test_bernoulli2_cpu (__main__.CpuTests) ... [2022-11-23 01:51:31,399] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.5311936Z [2022-11-23 01:51:31,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.5312233Z [2022-11-23 01:51:31,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.5312575Z [2022-11-23 01:51:31,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.5312948Z [2022-11-23 01:51:31,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.5313375Z [2022-11-23 01:51:31,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5313826Z [2022-11-23 01:51:31,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5314306Z [2022-11-23 01:51:31,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5314814Z [2022-11-23 01:51:31,400] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f782f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3590> 
2022-11-23T02:04:38.5314956Z  3591           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.5315104Z                2 LOAD_METHOD              1 (bernoulli)
2022-11-23T02:04:38.5315235Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5315371Z                6 CALL_METHOD              1
2022-11-23T02:04:38.5315490Z                8 RETURN_VALUE
2022-11-23T02:04:38.5315566Z  
2022-11-23T02:04:38.5315604Z 
2022-11-23T02:04:38.5316009Z [2022-11-23 01:51:31,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3591
2022-11-23T02:04:38.5316309Z [2022-11-23 01:51:31,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.5316730Z [2022-11-23 01:51:31,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bernoulli [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.5317080Z [2022-11-23 01:51:31,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.bernoulli)]
2022-11-23T02:04:38.5317473Z [2022-11-23 01:51:31,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.bernoulli), TensorVariable()]
2022-11-23T02:04:38.5317809Z [2022-11-23 01:51:31,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.5318320Z [2022-11-23 01:51:31,411] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f782f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3590>
2022-11-23T02:04:38.5318662Z [2022-11-23 01:51:31,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.5318981Z [2022-11-23 01:51:31,411] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.5319307Z [2022-11-23 01:51:31,412] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.5319647Z [2022-11-23 01:51:31,416] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.5319906Z [2022-11-23 01:51:31,417] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.5320097Z  __compiled_fn_40 <eval_with_key>.264 opcode, name, target, args, kwargs
2022-11-23T02:04:38.5320302Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.5320474Z call_function, bernoulli, aten.bernoulli, (ex_0_,), {}
2022-11-23T02:04:38.5320625Z output, output, output, ((bernoulli,),), {}
2022-11-23T02:04:38.5320646Z 
2022-11-23T02:04:38.5321093Z [2022-11-23 01:51:31,417] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5321229Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.5321343Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5321471Z               4 BUILD_MAP                0
2022-11-23T02:04:38.5321608Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.5321733Z               8 DICT_MERGE               1
2022-11-23T02:04:38.5321858Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.5321973Z              12 RETURN_VALUE
2022-11-23T02:04:38.5321994Z 
2022-11-23T02:04:38.5322088Z  
2022-11-23T02:04:38.5322506Z [2022-11-23 01:51:31,418] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5322666Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_40)
2022-11-23T02:04:38.5322858Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5322999Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5323115Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.5323245Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.5323379Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.5323475Z              12 RETURN_VALUE
2022-11-23T02:04:38.5323512Z 
2022-11-23T02:04:38.5323586Z  
2022-11-23T02:04:38.5323849Z [2022-11-23 01:51:31,419] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.5323956Z  - 
2022-11-23T02:04:38.5324124Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.5324223Z             {
2022-11-23T02:04:38.5324421Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.5324683Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.5324835Z                 'obj_weakref': None
2022-11-23T02:04:38.5325146Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.5325253Z             }
2022-11-23T02:04:38.5325351Z             
2022-11-23T02:04:38.5325454Z  - 
2022-11-23T02:04:38.5325632Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.5325735Z             {
2022-11-23T02:04:38.5325916Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5326068Z                 'code': None,
2022-11-23T02:04:38.5326356Z                 'obj_weakref': <weakref at 0x7fa53208ad40; to 'Tensor' at 0x7fa6237e1170>
2022-11-23T02:04:38.5326698Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5326797Z             }
2022-11-23T02:04:38.5326894Z             
2022-11-23T02:04:38.5327008Z  - 
2022-11-23T02:04:38.5327173Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.5327271Z             {
2022-11-23T02:04:38.5327465Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.5327703Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.5327877Z                 'obj_weakref': None
2022-11-23T02:04:38.5328188Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.5328286Z             }
2022-11-23T02:04:38.5328364Z             
2022-11-23T02:04:38.5328467Z  - 
2022-11-23T02:04:38.5328638Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.5328734Z             {
2022-11-23T02:04:38.5328924Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.5329215Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.5329387Z                 'obj_weakref': None
2022-11-23T02:04:38.5329753Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.5329848Z             }
2022-11-23T02:04:38.5329939Z             
2022-11-23T02:04:38.5330044Z  - 
2022-11-23T02:04:38.5330227Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.5330327Z             {
2022-11-23T02:04:38.5330478Z                 'guard_types': None,
2022-11-23T02:04:38.5330629Z                 'code': None,
2022-11-23T02:04:38.5330794Z                 'obj_weakref': None
2022-11-23T02:04:38.5330964Z                 'guarded_class': None
2022-11-23T02:04:38.5331061Z             }
2022-11-23T02:04:38.5331156Z             
2022-11-23T02:04:38.5331511Z [2022-11-23 01:51:31,428] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 39
2022-11-23T02:04:38.5331862Z [2022-11-23 01:51:31,429] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T02:04:38.5332327Z [2022-11-23 01:51:34,041] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qt/cqtltjuz42b5hicw7uj6w7qf5ylro5n4zgkes3mb63oyxyqgnmkt.py
2022-11-23T02:04:38.5332688Z [2022-11-23 01:51:34,042] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 39
2022-11-23T02:04:38.5332708Z 
2022-11-23T02:04:38.5332906Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.5333018Z import torch
2022-11-23T02:04:38.5333123Z import random
2022-11-23T02:04:38.5333288Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.5333460Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.5333480Z 
2022-11-23T02:04:38.5333596Z aten = torch.ops.aten
2022-11-23T02:04:38.5333765Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.5333900Z async_compile = AsyncCompile()
2022-11-23T02:04:38.5334125Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T02:04:38.5334145Z 
2022-11-23T02:04:38.5334164Z 
2022-11-23T02:04:38.5334364Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.5334650Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.5334816Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T02:04:38.5334973Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.5335116Z                        bool* __restrict__ out_ptr0)
2022-11-23T02:04:38.5335191Z {
2022-11-23T02:04:38.5335334Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.5335434Z     {
2022-11-23T02:04:38.5335549Z         #pragma omp for 
2022-11-23T02:04:38.5335669Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.5335766Z         {
2022-11-23T02:04:38.5335844Z             {
2022-11-23T02:04:38.5335946Z                 {
2022-11-23T02:04:38.5336597Z                     auto tmp0 = seed0[0];
2022-11-23T02:04:38.5336831Z                     auto tmp5 = in_ptr1[i0];
2022-11-23T02:04:38.5337062Z                     auto tmp1 = static_cast<int>(65535);
2022-11-23T02:04:38.5337285Z                     auto tmp2 = tmp0 ^ tmp1;
2022-11-23T02:04:38.5337520Z                     auto tmp3 = static_cast<int>(i0);
2022-11-23T02:04:38.5337847Z                     auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp2, tmp3));;
2022-11-23T02:04:38.5338047Z                     auto tmp6 = tmp4 < tmp5;
2022-11-23T02:04:38.5338246Z                     out_ptr0[i0] = tmp6;
2022-11-23T02:04:38.5338399Z                 }
2022-11-23T02:04:38.5338517Z             }
2022-11-23T02:04:38.5338615Z         }
2022-11-23T02:04:38.5338710Z     }
2022-11-23T02:04:38.5338782Z }
2022-11-23T02:04:38.5338939Z ''')
2022-11-23T02:04:38.5338962Z 
2022-11-23T02:04:38.5338980Z 
2022-11-23T02:04:38.5339114Z async_compile.wait(globals())
2022-11-23T02:04:38.5339220Z del async_compile
2022-11-23T02:04:38.5339239Z 
2022-11-23T02:04:38.5339345Z def call(args):
2022-11-23T02:04:38.5339448Z     arg0_1, = args
2022-11-23T02:04:38.5339557Z     args.clear()
2022-11-23T02:04:38.5339966Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T02:04:38.5340210Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5340455Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.5340567Z     del arg0_1
2022-11-23T02:04:38.5340673Z     return (buf0, )
2022-11-23T02:04:38.5340692Z 
2022-11-23T02:04:38.5340711Z 
2022-11-23T02:04:38.5340824Z if __name__ == "__main__":
2022-11-23T02:04:38.5340988Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.5341164Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.5341435Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.5341685Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5341841Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.5341859Z 
2022-11-23T02:04:38.5341962Z ok (2.649s)
2022-11-23T02:04:38.5342377Z   test_bitwise2_cpu (__main__.CpuTests) ... [2022-11-23 01:51:34,049] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.5342871Z [2022-11-23 01:51:34,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.5343183Z [2022-11-23 01:51:34,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.5343526Z [2022-11-23 01:51:34,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.5343898Z [2022-11-23 01:51:34,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.5344325Z [2022-11-23 01:51:34,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5344772Z [2022-11-23 01:51:34,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5345217Z [2022-11-23 01:51:34,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5345722Z [2022-11-23 01:51:34,050] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9ee40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2736> 
2022-11-23T02:04:38.5345864Z  2738           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5346011Z                2 LOAD_METHOD              1 (bitwise_not)
2022-11-23T02:04:38.5346146Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.5346276Z                6 CALL_METHOD              1
2022-11-23T02:04:38.5346296Z 
2022-11-23T02:04:38.5346431Z 2739           8 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5346576Z               10 LOAD_METHOD              2 (bitwise_or)
2022-11-23T02:04:38.5346692Z               12 LOAD_FAST                0 (x)
2022-11-23T02:04:38.5346824Z               14 LOAD_FAST                1 (y)
2022-11-23T02:04:38.5346954Z               16 CALL_METHOD              2
2022-11-23T02:04:38.5346973Z 
2022-11-23T02:04:38.5347111Z 2740          18 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5347256Z               20 LOAD_METHOD              3 (bitwise_xor)
2022-11-23T02:04:38.5347383Z               22 LOAD_FAST                0 (x)
2022-11-23T02:04:38.5347511Z               24 LOAD_FAST                1 (y)
2022-11-23T02:04:38.5347622Z               26 CALL_METHOD              2
2022-11-23T02:04:38.5347658Z 
2022-11-23T02:04:38.5347775Z 2741          28 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5347919Z               30 LOAD_METHOD              4 (bitwise_and)
2022-11-23T02:04:38.5348046Z               32 LOAD_FAST                0 (x)
2022-11-23T02:04:38.5348176Z               34 LOAD_FAST                1 (y)
2022-11-23T02:04:38.5348373Z               36 CALL_METHOD              2
2022-11-23T02:04:38.5348392Z 
2022-11-23T02:04:38.5348522Z 2737          38 BUILD_TUPLE              4
2022-11-23T02:04:38.5348635Z               40 RETURN_VALUE
2022-11-23T02:04:38.5348709Z  
2022-11-23T02:04:38.5348732Z 
2022-11-23T02:04:38.5349165Z [2022-11-23 01:51:34,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2738
2022-11-23T02:04:38.5349466Z [2022-11-23 01:51:34,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.5349962Z [2022-11-23 01:51:34,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_not [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5350405Z [2022-11-23 01:51:34,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method bitwise_not of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5350895Z [2022-11-23 01:51:34,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method bitwise_not of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5351371Z [2022-11-23 01:51:34,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2739
2022-11-23T02:04:38.5351712Z [2022-11-23 01:51:34,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:38.5352244Z [2022-11-23 01:51:34,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_or [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5352719Z [2022-11-23 01:51:34,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5353238Z [2022-11-23 01:51:34,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5353796Z [2022-11-23 01:51:34,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5354195Z [2022-11-23 01:51:34,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2740
2022-11-23T02:04:38.5354569Z [2022-11-23 01:51:34,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5355144Z [2022-11-23 01:51:34,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_xor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5355659Z [2022-11-23 01:51:34,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5356209Z [2022-11-23 01:51:34,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5356809Z [2022-11-23 01:51:34,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5357227Z [2022-11-23 01:51:34,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2741
2022-11-23T02:04:38.5357631Z [2022-11-23 01:51:34,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5358314Z [2022-11-23 01:51:34,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_and [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5358878Z [2022-11-23 01:51:34,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5359465Z [2022-11-23 01:51:34,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5360106Z [2022-11-23 01:51:34,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5360599Z [2022-11-23 01:51:34,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2737
2022-11-23T02:04:38.5361040Z [2022-11-23 01:51:34,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5361375Z [2022-11-23 01:51:34,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.5361860Z [2022-11-23 01:51:34,063] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9ee40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2736>
2022-11-23T02:04:38.5362189Z [2022-11-23 01:51:34,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.5362518Z [2022-11-23 01:51:34,064] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.5362866Z [2022-11-23 01:51:34,066] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.5363211Z [2022-11-23 01:51:34,073] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.5363472Z [2022-11-23 01:51:34,074] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.5363662Z  __compiled_fn_41 <eval_with_key>.270 opcode, name, target, args, kwargs
2022-11-23T02:04:38.5363793Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.5363902Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.5364243Z call_function, bitwise_not, <built-in method bitwise_not of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:38.5364578Z call_function, bitwise_or, <built-in method bitwise_or of type object at 0x7fa5855aec60>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.5364927Z call_function, bitwise_xor, <built-in method bitwise_xor of type object at 0x7fa5855aec60>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.5365269Z call_function, bitwise_and, <built-in method bitwise_and of type object at 0x7fa5855aec60>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.5365482Z output, output, output, ((bitwise_not, bitwise_or, bitwise_xor, bitwise_and),), {}
2022-11-23T02:04:38.5365504Z 
2022-11-23T02:04:38.5365944Z [2022-11-23 01:51:34,074] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5366079Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.5366214Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5366326Z               4 BUILD_MAP                0
2022-11-23T02:04:38.5366465Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.5366586Z               8 DICT_MERGE               1
2022-11-23T02:04:38.5366715Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.5366938Z              12 RETURN_VALUE
2022-11-23T02:04:38.5366938Z 
2022-11-23T02:04:38.5367028Z  
2022-11-23T02:04:38.5367537Z [2022-11-23 01:51:34,074] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5367694Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_41)
2022-11-23T02:04:38.5367807Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5367937Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5368051Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.5368181Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5368307Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5368418Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.5368547Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.5368678Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.5368832Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5368964Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5369076Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.5369223Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5369412Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5369532Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.5369659Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5369791Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:38.5369903Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.5370049Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5370180Z              38 LOAD_CONST               4 (3)
2022-11-23T02:04:38.5370292Z              40 BINARY_SUBSCR
2022-11-23T02:04:38.5370419Z              42 BUILD_TUPLE              4
2022-11-23T02:04:38.5370512Z              44 RETURN_VALUE
2022-11-23T02:04:38.5370555Z 
2022-11-23T02:04:38.5370629Z  
2022-11-23T02:04:38.5370896Z [2022-11-23 01:51:34,076] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.5371003Z  - 
2022-11-23T02:04:38.5371184Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.5371279Z             {
2022-11-23T02:04:38.5371482Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.5371742Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.5371895Z                 'obj_weakref': None
2022-11-23T02:04:38.5372207Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.5372305Z             }
2022-11-23T02:04:38.5372399Z             
2022-11-23T02:04:38.5372506Z  - 
2022-11-23T02:04:38.5372684Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.5372762Z             {
2022-11-23T02:04:38.5372961Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5373113Z                 'code': None,
2022-11-23T02:04:38.5373405Z                 'obj_weakref': <weakref at 0x7fa53214f470; to 'Tensor' at 0x7fa532241530>
2022-11-23T02:04:38.5373742Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5373846Z             }
2022-11-23T02:04:38.5373942Z             
2022-11-23T02:04:38.5374050Z  - 
2022-11-23T02:04:38.5374206Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.5374304Z             {
2022-11-23T02:04:38.5374504Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5374655Z                 'code': None,
2022-11-23T02:04:38.5374938Z                 'obj_weakref': <weakref at 0x7fa53214f7e0; to 'Tensor' at 0x7fa55017c9f0>
2022-11-23T02:04:38.5375276Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5375372Z             }
2022-11-23T02:04:38.5375449Z             
2022-11-23T02:04:38.5375557Z  - 
2022-11-23T02:04:38.5375825Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.5375922Z             {
2022-11-23T02:04:38.5376580Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.5377021Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.5377299Z                 'obj_weakref': None
2022-11-23T02:04:38.5377806Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.5377959Z             }
2022-11-23T02:04:38.5378138Z             
2022-11-23T02:04:38.5378269Z  - 
2022-11-23T02:04:38.5378442Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.5378564Z             {
2022-11-23T02:04:38.5378726Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.5379282Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.5379412Z                 'obj_weakref': None
2022-11-23T02:04:38.5379715Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.5379817Z             }
2022-11-23T02:04:38.5379911Z             
2022-11-23T02:04:38.5380017Z  - 
2022-11-23T02:04:38.5380203Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.5380541Z             {
2022-11-23T02:04:38.5380727Z                 'guard_types': None,
2022-11-23T02:04:38.5380881Z                 'code': None,
2022-11-23T02:04:38.5381044Z                 'obj_weakref': None
2022-11-23T02:04:38.5381215Z                 'guarded_class': None
2022-11-23T02:04:38.5381312Z             }
2022-11-23T02:04:38.5381388Z             
2022-11-23T02:04:38.5381741Z [2022-11-23 01:51:34,088] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 40
2022-11-23T02:04:38.5382242Z [2022-11-23 01:51:36,656] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mf/cmfnkskehqbrbqjm4wb4gkix4xj2lwafehgwsthqrs2kyx34ekmg.py
2022-11-23T02:04:38.5382599Z [2022-11-23 01:51:36,657] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 40
2022-11-23T02:04:38.5382628Z 
2022-11-23T02:04:38.5382767Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.5382872Z import torch
2022-11-23T02:04:38.5382978Z import random
2022-11-23T02:04:38.5383146Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.5383299Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.5383339Z 
2022-11-23T02:04:38.5383440Z aten = torch.ops.aten
2022-11-23T02:04:38.5383630Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.5383760Z async_compile = AsyncCompile()
2022-11-23T02:04:38.5383780Z 
2022-11-23T02:04:38.5383799Z 
2022-11-23T02:04:38.5383992Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.5384332Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.5384501Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T02:04:38.5384655Z                        const bool* __restrict__ in_ptr1,
2022-11-23T02:04:38.5384781Z                        bool* __restrict__ out_ptr0,
2022-11-23T02:04:38.5384917Z                        bool* __restrict__ out_ptr1,
2022-11-23T02:04:38.5385055Z                        bool* __restrict__ out_ptr2,
2022-11-23T02:04:38.5385190Z                        bool* __restrict__ out_ptr3)
2022-11-23T02:04:38.5385283Z {
2022-11-23T02:04:38.5385423Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.5385515Z     {
2022-11-23T02:04:38.5385611Z         #pragma omp for 
2022-11-23T02:04:38.5385733Z         for(long i0=0; i0<40; i0+=1)
2022-11-23T02:04:38.5385834Z         {
2022-11-23T02:04:38.5385933Z             {
2022-11-23T02:04:38.5386030Z                 {
2022-11-23T02:04:38.5386167Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.5386300Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T02:04:38.5386409Z                     auto tmp1 = tmp0 == 0;
2022-11-23T02:04:38.5386653Z                     auto tmp3 = tmp0 | tmp2;
2022-11-23T02:04:38.5386781Z                     auto tmp4 = tmp0 ^ tmp2;
2022-11-23T02:04:38.5386909Z                     auto tmp5 = tmp0 & tmp2;
2022-11-23T02:04:38.5387031Z                     out_ptr0[i0] = tmp1;
2022-11-23T02:04:38.5387159Z                     out_ptr1[i0] = tmp3;
2022-11-23T02:04:38.5387280Z                     out_ptr2[i0] = tmp4;
2022-11-23T02:04:38.5387383Z                     out_ptr3[i0] = tmp5;
2022-11-23T02:04:38.5387478Z                 }
2022-11-23T02:04:38.5387574Z             }
2022-11-23T02:04:38.5387669Z         }
2022-11-23T02:04:38.5387766Z     }
2022-11-23T02:04:38.5387859Z }
2022-11-23T02:04:38.5387987Z ''')
2022-11-23T02:04:38.5388007Z 
2022-11-23T02:04:38.5388026Z 
2022-11-23T02:04:38.5388139Z async_compile.wait(globals())
2022-11-23T02:04:38.5388249Z del async_compile
2022-11-23T02:04:38.5388269Z 
2022-11-23T02:04:38.5388377Z def call(args):
2022-11-23T02:04:38.5388488Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.5388601Z     args.clear()
2022-11-23T02:04:38.5388871Z     buf0 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5389130Z     buf1 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5389426Z     buf2 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5389702Z     buf3 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5390022Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T02:04:38.5390126Z     del arg0_1
2022-11-23T02:04:38.5390229Z     del arg1_1
2022-11-23T02:04:38.5390357Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T02:04:38.5390376Z 
2022-11-23T02:04:38.5390394Z 
2022-11-23T02:04:38.5390519Z if __name__ == "__main__":
2022-11-23T02:04:38.5390682Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.5390859Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.5391103Z     arg0_1 = rand_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5391363Z     arg1_1 = rand_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5391533Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.5391553Z 
2022-11-23T02:04:38.5391655Z ok (2.615s)
2022-11-23T02:04:38.5392067Z   test_bitwise_cpu (__main__.CpuTests) ... [2022-11-23 01:51:36,664] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.5392492Z [2022-11-23 01:51:36,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.5392791Z [2022-11-23 01:51:36,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.5393136Z [2022-11-23 01:51:36,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.5393498Z [2022-11-23 01:51:36,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.5393932Z [2022-11-23 01:51:36,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5394393Z [2022-11-23 01:51:36,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5394829Z [2022-11-23 01:51:36,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5395334Z [2022-11-23 01:51:36,666] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9ece0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2718> 
2022-11-23T02:04:38.5395482Z  2720           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5395701Z                2 LOAD_METHOD              1 (bitwise_not)
2022-11-23T02:04:38.5395836Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.5395967Z                6 CALL_METHOD              1
2022-11-23T02:04:38.5395987Z 
2022-11-23T02:04:38.5396126Z 2721           8 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5396254Z               10 LOAD_METHOD              2 (bitwise_or)
2022-11-23T02:04:38.5396385Z               12 LOAD_FAST                0 (x)
2022-11-23T02:04:38.5396517Z               14 LOAD_FAST                1 (y)
2022-11-23T02:04:38.5396647Z               16 CALL_METHOD              2
2022-11-23T02:04:38.5396667Z 
2022-11-23T02:04:38.5396803Z 2722          18 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5396947Z               20 LOAD_METHOD              3 (bitwise_xor)
2022-11-23T02:04:38.5397077Z               22 LOAD_FAST                0 (x)
2022-11-23T02:04:38.5397187Z               24 LOAD_FAST                1 (y)
2022-11-23T02:04:38.5397320Z               26 CALL_METHOD              2
2022-11-23T02:04:38.5397339Z 
2022-11-23T02:04:38.5397592Z 2723          28 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5397732Z               30 LOAD_METHOD              4 (bitwise_and)
2022-11-23T02:04:38.5397910Z               32 LOAD_FAST                0 (x)
2022-11-23T02:04:38.5398045Z               34 LOAD_FAST                1 (y)
2022-11-23T02:04:38.5398175Z               36 CALL_METHOD              2
2022-11-23T02:04:38.5398194Z 
2022-11-23T02:04:38.5398321Z 2719          38 BUILD_TUPLE              4
2022-11-23T02:04:38.5398417Z               40 RETURN_VALUE
2022-11-23T02:04:38.5398514Z  
2022-11-23T02:04:38.5398533Z 
2022-11-23T02:04:38.5398969Z [2022-11-23 01:51:36,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2720
2022-11-23T02:04:38.5399274Z [2022-11-23 01:51:36,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.5399780Z [2022-11-23 01:51:36,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_not [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5400227Z [2022-11-23 01:51:36,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method bitwise_not of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5400714Z [2022-11-23 01:51:36,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method bitwise_not of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5401133Z [2022-11-23 01:51:36,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2721
2022-11-23T02:04:38.5401476Z [2022-11-23 01:51:36,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:38.5402009Z [2022-11-23 01:51:36,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_or [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5402496Z [2022-11-23 01:51:36,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5402988Z [2022-11-23 01:51:36,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5403551Z [2022-11-23 01:51:36,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5403977Z [2022-11-23 01:51:36,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2722
2022-11-23T02:04:38.5404469Z [2022-11-23 01:51:36,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5405054Z [2022-11-23 01:51:36,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_xor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5405568Z [2022-11-23 01:51:36,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5406121Z [2022-11-23 01:51:36,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5406731Z [2022-11-23 01:51:36,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5407241Z [2022-11-23 01:51:36,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2723
2022-11-23T02:04:38.5407663Z [2022-11-23 01:51:36,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5408271Z [2022-11-23 01:51:36,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_and [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5408814Z [2022-11-23 01:51:36,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5409402Z [2022-11-23 01:51:36,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5410033Z [2022-11-23 01:51:36,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5410454Z [2022-11-23 01:51:36,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2719
2022-11-23T02:04:38.5410868Z [2022-11-23 01:51:36,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5411204Z [2022-11-23 01:51:36,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.5411727Z [2022-11-23 01:51:36,677] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9ece0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2718>
2022-11-23T02:04:38.5412071Z [2022-11-23 01:51:36,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.5412392Z [2022-11-23 01:51:36,677] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.5412743Z [2022-11-23 01:51:36,679] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.5413091Z [2022-11-23 01:51:36,686] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.5413354Z [2022-11-23 01:51:36,687] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.5413545Z  __compiled_fn_42 <eval_with_key>.276 opcode, name, target, args, kwargs
2022-11-23T02:04:38.5413733Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.5413860Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.5414202Z call_function, bitwise_not, <built-in method bitwise_not of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:38.5414548Z call_function, bitwise_or, <built-in method bitwise_or of type object at 0x7fa5855aec60>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.5414890Z call_function, bitwise_xor, <built-in method bitwise_xor of type object at 0x7fa5855aec60>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.5415241Z call_function, bitwise_and, <built-in method bitwise_and of type object at 0x7fa5855aec60>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.5415451Z output, output, output, ((bitwise_not, bitwise_or, bitwise_xor, bitwise_and),), {}
2022-11-23T02:04:38.5415478Z 
2022-11-23T02:04:38.5415919Z [2022-11-23 01:51:36,687] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5416533Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.5416738Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5416938Z               4 BUILD_MAP                0
2022-11-23T02:04:38.5417150Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.5417571Z               8 DICT_MERGE               1
2022-11-23T02:04:38.5417813Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.5417993Z              12 RETURN_VALUE
2022-11-23T02:04:38.5418025Z 
2022-11-23T02:04:38.5418173Z  
2022-11-23T02:04:38.5418791Z [2022-11-23 01:51:36,687] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5418932Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_42)
2022-11-23T02:04:38.5419063Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5419195Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5419311Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.5419449Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5419579Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5419688Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.5419797Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.5419951Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.5420098Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5420229Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5420344Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.5420490Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5420622Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5420716Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.5420858Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5420989Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:38.5421103Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.5421252Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5421379Z              38 LOAD_CONST               4 (3)
2022-11-23T02:04:38.5421487Z              40 BINARY_SUBSCR
2022-11-23T02:04:38.5421598Z              42 BUILD_TUPLE              4
2022-11-23T02:04:38.5421714Z              44 RETURN_VALUE
2022-11-23T02:04:38.5421734Z 
2022-11-23T02:04:38.5421828Z  
2022-11-23T02:04:38.5422087Z [2022-11-23 01:51:36,689] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.5422194Z  - 
2022-11-23T02:04:38.5422362Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.5422458Z             {
2022-11-23T02:04:38.5422699Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.5422953Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.5423122Z                 'obj_weakref': None
2022-11-23T02:04:38.5423431Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.5423637Z             }
2022-11-23T02:04:38.5423737Z             
2022-11-23T02:04:38.5423847Z  - 
2022-11-23T02:04:38.5424005Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.5424102Z             {
2022-11-23T02:04:38.5424311Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5424466Z                 'code': None,
2022-11-23T02:04:38.5424755Z                 'obj_weakref': <weakref at 0x7fa531f7f8d0; to 'Tensor' at 0x7fa5322fa250>
2022-11-23T02:04:38.5425104Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5425202Z             }
2022-11-23T02:04:38.5425299Z             
2022-11-23T02:04:38.5425385Z  - 
2022-11-23T02:04:38.5425559Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.5425654Z             {
2022-11-23T02:04:38.5425852Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5426069Z                 'code': None,
2022-11-23T02:04:38.5426369Z                 'obj_weakref': <weakref at 0x7fa531fa5620; to 'Tensor' at 0x7fa53c427650>
2022-11-23T02:04:38.5426710Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5426846Z             }
2022-11-23T02:04:38.5426947Z             
2022-11-23T02:04:38.5427053Z  - 
2022-11-23T02:04:38.5427238Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.5427333Z             {
2022-11-23T02:04:38.5427524Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.5427758Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.5427911Z                 'obj_weakref': None
2022-11-23T02:04:38.5428220Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.5428318Z             }
2022-11-23T02:04:38.5428413Z             
2022-11-23T02:04:38.5428518Z  - 
2022-11-23T02:04:38.5428692Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.5428775Z             {
2022-11-23T02:04:38.5428964Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.5429256Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.5429426Z                 'obj_weakref': None
2022-11-23T02:04:38.5429728Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.5429825Z             }
2022-11-23T02:04:38.5429922Z             
2022-11-23T02:04:38.5430026Z  - 
2022-11-23T02:04:38.5430194Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.5430287Z             {
2022-11-23T02:04:38.5430456Z                 'guard_types': None,
2022-11-23T02:04:38.5430613Z                 'code': None,
2022-11-23T02:04:38.5430782Z                 'obj_weakref': None
2022-11-23T02:04:38.5430955Z                 'guarded_class': None
2022-11-23T02:04:38.5431031Z             }
2022-11-23T02:04:38.5431131Z             
2022-11-23T02:04:38.5431485Z [2022-11-23 01:51:36,703] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 41
2022-11-23T02:04:38.5431985Z [2022-11-23 01:51:39,310] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mx/cmxdguyphpa7bfthxpbg6rvrprknuhtc3h6pezl6yaiu6we2eq5k.py
2022-11-23T02:04:38.5432343Z [2022-11-23 01:51:39,310] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 41
2022-11-23T02:04:38.5432367Z 
2022-11-23T02:04:38.5432502Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.5432607Z import torch
2022-11-23T02:04:38.5432713Z import random
2022-11-23T02:04:38.5432858Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.5433027Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.5433046Z 
2022-11-23T02:04:38.5433163Z aten = torch.ops.aten
2022-11-23T02:04:38.5433350Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.5433572Z async_compile = AsyncCompile()
2022-11-23T02:04:38.5433592Z 
2022-11-23T02:04:38.5433611Z 
2022-11-23T02:04:38.5433803Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.5434086Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.5434255Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T02:04:38.5434385Z                        const int* __restrict__ in_ptr1,
2022-11-23T02:04:38.5434525Z                        int* __restrict__ out_ptr0,
2022-11-23T02:04:38.5434659Z                        int* __restrict__ out_ptr1,
2022-11-23T02:04:38.5434791Z                        int* __restrict__ out_ptr2,
2022-11-23T02:04:38.5434922Z                        int* __restrict__ out_ptr3)
2022-11-23T02:04:38.5435015Z {
2022-11-23T02:04:38.5435157Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.5435232Z     {
2022-11-23T02:04:38.5435349Z         #pragma omp for 
2022-11-23T02:04:38.5435470Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:38.5435571Z         {
2022-11-23T02:04:38.5435667Z             {
2022-11-23T02:04:38.5435765Z                 {
2022-11-23T02:04:38.5435899Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.5436014Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T02:04:38.5436187Z                     auto tmp1 = ~tmp0;
2022-11-23T02:04:38.5436328Z                     auto tmp3 = tmp0 | tmp2;
2022-11-23T02:04:38.5436459Z                     auto tmp4 = tmp0 ^ tmp2;
2022-11-23T02:04:38.5436588Z                     auto tmp5 = tmp0 & tmp2;
2022-11-23T02:04:38.5436712Z                     out_ptr0[i0] = tmp1;
2022-11-23T02:04:38.5436836Z                     out_ptr1[i0] = tmp3;
2022-11-23T02:04:38.5436939Z                     out_ptr2[i0] = tmp4;
2022-11-23T02:04:38.5437063Z                     out_ptr3[i0] = tmp5;
2022-11-23T02:04:38.5437161Z                 }
2022-11-23T02:04:38.5437257Z             }
2022-11-23T02:04:38.5437350Z         }
2022-11-23T02:04:38.5437441Z     }
2022-11-23T02:04:38.5437535Z }
2022-11-23T02:04:38.5437646Z ''')
2022-11-23T02:04:38.5437666Z 
2022-11-23T02:04:38.5437684Z 
2022-11-23T02:04:38.5437817Z async_compile.wait(globals())
2022-11-23T02:04:38.5437926Z del async_compile
2022-11-23T02:04:38.5437945Z 
2022-11-23T02:04:38.5438055Z def call(args):
2022-11-23T02:04:38.5438170Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.5438277Z     args.clear()
2022-11-23T02:04:38.5438543Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:38.5438785Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:38.5439044Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:38.5439303Z     buf3 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:38.5439626Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T02:04:38.5439735Z     del arg0_1
2022-11-23T02:04:38.5439835Z     del arg1_1
2022-11-23T02:04:38.5439962Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T02:04:38.5439981Z 
2022-11-23T02:04:38.5440038Z 
2022-11-23T02:04:38.5440140Z if __name__ == "__main__":
2022-11-23T02:04:38.5440259Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.5440467Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.5440729Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:38.5440957Z     arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:38.5441123Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.5441195Z 
2022-11-23T02:04:38.5441289Z ok (2.653s)
2022-11-23T02:04:38.5441645Z   test_bmm1_cpu (__main__.CpuTests) ... [2022-11-23 01:51:39,319] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.5442074Z [2022-11-23 01:51:39,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.5442434Z [2022-11-23 01:51:39,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.5442766Z [2022-11-23 01:51:39,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.5443145Z [2022-11-23 01:51:39,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.5443580Z [2022-11-23 01:51:39,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5444045Z [2022-11-23 01:51:39,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5444473Z [2022-11-23 01:51:39,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5444981Z [2022-11-23 01:51:39,320] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa6411328c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1367> 
2022-11-23T02:04:38.5445176Z  1369           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5445316Z                2 LOAD_METHOD              1 (bmm)
2022-11-23T02:04:38.5445449Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5445562Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5445692Z                8 CALL_METHOD              2
2022-11-23T02:04:38.5445713Z 
2022-11-23T02:04:38.5445849Z 1370          10 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5445981Z               12 LOAD_METHOD              1 (bmm)
2022-11-23T02:04:38.5446112Z               14 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5446243Z               16 LOAD_CONST               1 (1)
2022-11-23T02:04:38.5446355Z               18 BINARY_ADD
2022-11-23T02:04:38.5446481Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5446591Z               22 LOAD_CONST               2 (2)
2022-11-23T02:04:38.5446697Z               24 BINARY_ADD
2022-11-23T02:04:38.5446829Z               26 CALL_METHOD              2
2022-11-23T02:04:38.5446955Z               28 LOAD_CONST               3 (3)
2022-11-23T02:04:38.5447122Z               30 BINARY_ADD
2022-11-23T02:04:38.5447142Z 
2022-11-23T02:04:38.5447342Z 1368          32 BUILD_TUPLE              2
2022-11-23T02:04:38.5447452Z               34 RETURN_VALUE
2022-11-23T02:04:38.5447526Z  
2022-11-23T02:04:38.5447545Z 
2022-11-23T02:04:38.5447977Z [2022-11-23 01:51:39,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1369
2022-11-23T02:04:38.5448280Z [2022-11-23 01:51:39,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.5448770Z [2022-11-23 01:51:39,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5449206Z [2022-11-23 01:51:39,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5449664Z [2022-11-23 01:51:39,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5450170Z [2022-11-23 01:51:39,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5450588Z [2022-11-23 01:51:39,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1370
2022-11-23T02:04:38.5451001Z [2022-11-23 01:51:39,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:38.5451526Z [2022-11-23 01:51:39,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5452010Z [2022-11-23 01:51:39,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5452496Z [2022-11-23 01:51:39,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5453029Z [2022-11-23 01:51:39,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5453537Z [2022-11-23 01:51:39,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5454128Z [2022-11-23 01:51:39,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5454733Z [2022-11-23 01:51:39,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5455275Z [2022-11-23 01:51:39,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5455634Z [2022-11-23 01:51:39,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5456481Z [2022-11-23 01:51:39,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5457290Z [2022-11-23 01:51:39,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1368
2022-11-23T02:04:38.5457937Z [2022-11-23 01:51:39,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5458307Z [2022-11-23 01:51:39,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.5458814Z [2022-11-23 01:51:39,331] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa6411328c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1367>
2022-11-23T02:04:38.5459149Z [2022-11-23 01:51:39,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.5459458Z [2022-11-23 01:51:39,331] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.5459808Z [2022-11-23 01:51:39,333] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.5460148Z [2022-11-23 01:51:39,341] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.5460409Z [2022-11-23 01:51:39,341] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.5460596Z  __compiled_fn_43 <eval_with_key>.282 opcode, name, target, args, kwargs
2022-11-23T02:04:38.5460728Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.5460855Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.5461170Z call_function, bmm, <built-in method bmm of type object at 0x7fa5855aec60>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.5461389Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:38.5461828Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T02:04:38.5462134Z call_function, bmm_1, <built-in method bmm of type object at 0x7fa5855aec60>, (add, add_1), {}
2022-11-23T02:04:38.5462376Z call_function, add_2, <built-in function add>, (bmm_1, 3), {}
2022-11-23T02:04:38.5462524Z output, output, output, ((bmm, add_2),), {}
2022-11-23T02:04:38.5462547Z 
2022-11-23T02:04:38.5462981Z [2022-11-23 01:51:39,342] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5463125Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.5463258Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5463367Z               4 BUILD_MAP                0
2022-11-23T02:04:38.5463503Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.5463628Z               8 DICT_MERGE               1
2022-11-23T02:04:38.5463755Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.5463873Z              12 RETURN_VALUE
2022-11-23T02:04:38.5463893Z 
2022-11-23T02:04:38.5463986Z  
2022-11-23T02:04:38.5464518Z [2022-11-23 01:51:39,342] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5464684Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_43)
2022-11-23T02:04:38.5464796Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5464929Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5465043Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.5465170Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5465295Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5465408Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.5465537Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.5465666Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.5465820Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5465953Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5466066Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.5466208Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5466337Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5466451Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.5466559Z              30 BUILD_TUPLE              2
2022-11-23T02:04:38.5466674Z              32 RETURN_VALUE
2022-11-23T02:04:38.5466693Z 
2022-11-23T02:04:38.5466786Z  
2022-11-23T02:04:38.5467045Z [2022-11-23 01:51:39,343] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.5467152Z  - 
2022-11-23T02:04:38.5467321Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.5467418Z             {
2022-11-23T02:04:38.5467596Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.5467854Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.5468028Z                 'obj_weakref': None
2022-11-23T02:04:38.5468334Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.5468434Z             }
2022-11-23T02:04:38.5468536Z             
2022-11-23T02:04:38.5468641Z  - 
2022-11-23T02:04:38.5468800Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.5468897Z             {
2022-11-23T02:04:38.5469094Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5469246Z                 'code': None,
2022-11-23T02:04:38.5469535Z                 'obj_weakref': <weakref at 0x7fa5320888b0; to 'Tensor' at 0x7fa6237e11c0>
2022-11-23T02:04:38.5469875Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5469974Z             }
2022-11-23T02:04:38.5470070Z             
2022-11-23T02:04:38.5470158Z  - 
2022-11-23T02:04:38.5470328Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.5470539Z             {
2022-11-23T02:04:38.5470738Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5470895Z                 'code': None,
2022-11-23T02:04:38.5471188Z                 'obj_weakref': <weakref at 0x7fa53208a930; to 'Tensor' at 0x7fa6237e12b0>
2022-11-23T02:04:38.5471529Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5471608Z             }
2022-11-23T02:04:38.5471706Z             
2022-11-23T02:04:38.5471813Z  - 
2022-11-23T02:04:38.5471998Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.5472095Z             {
2022-11-23T02:04:38.5472289Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.5472502Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.5472671Z                 'obj_weakref': None
2022-11-23T02:04:38.5472979Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.5473080Z             }
2022-11-23T02:04:38.5473176Z             
2022-11-23T02:04:38.5473282Z  - 
2022-11-23T02:04:38.5473454Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.5473532Z             {
2022-11-23T02:04:38.5473778Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.5474081Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.5474248Z                 'obj_weakref': None
2022-11-23T02:04:38.5474547Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.5474644Z             }
2022-11-23T02:04:38.5474739Z             
2022-11-23T02:04:38.5474824Z  - 
2022-11-23T02:04:38.5475011Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.5475107Z             {
2022-11-23T02:04:38.5475275Z                 'guard_types': None,
2022-11-23T02:04:38.5475427Z                 'code': None,
2022-11-23T02:04:38.5475597Z                 'obj_weakref': None
2022-11-23T02:04:38.5475768Z                 'guarded_class': None
2022-11-23T02:04:38.5475845Z             }
2022-11-23T02:04:38.5475941Z             
2022-11-23T02:04:38.5476295Z [2022-11-23 01:51:39,358] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 42
2022-11-23T02:04:38.5476789Z [2022-11-23 01:51:42,020] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yh/cyhq7gnnama2iwmtmspyki2nux4kvrytsdsanjtyuheqsfilqjd5.py
2022-11-23T02:04:38.5477144Z [2022-11-23 01:51:42,021] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 42
2022-11-23T02:04:38.5477468Z [2022-11-23 01:51:42,027] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.5477921Z [2022-11-23 01:51:42,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.5478218Z [2022-11-23 01:51:42,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.5478541Z [2022-11-23 01:51:42,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.5478896Z [2022-11-23 01:51:42,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.5479329Z [2022-11-23 01:51:42,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5479791Z [2022-11-23 01:51:42,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5480229Z [2022-11-23 01:51:42,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5480729Z [2022-11-23 01:51:42,028] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa6411328c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1367> 
2022-11-23T02:04:38.5480946Z  1369           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5481082Z                2 LOAD_METHOD              1 (bmm)
2022-11-23T02:04:38.5481222Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5481352Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5481465Z                8 CALL_METHOD              2
2022-11-23T02:04:38.5481505Z 
2022-11-23T02:04:38.5481626Z 1370          10 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5481758Z               12 LOAD_METHOD              1 (bmm)
2022-11-23T02:04:38.5481887Z               14 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5482019Z               16 LOAD_CONST               1 (1)
2022-11-23T02:04:38.5482124Z               18 BINARY_ADD
2022-11-23T02:04:38.5482253Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5482386Z               22 LOAD_CONST               2 (2)
2022-11-23T02:04:38.5482476Z               24 BINARY_ADD
2022-11-23T02:04:38.5482604Z               26 CALL_METHOD              2
2022-11-23T02:04:38.5482730Z               28 LOAD_CONST               3 (3)
2022-11-23T02:04:38.5482891Z               30 BINARY_ADD
2022-11-23T02:04:38.5482913Z 
2022-11-23T02:04:38.5483049Z 1368          32 BUILD_TUPLE              2
2022-11-23T02:04:38.5483164Z               34 RETURN_VALUE
2022-11-23T02:04:38.5483258Z  
2022-11-23T02:04:38.5483277Z 
2022-11-23T02:04:38.5483694Z [2022-11-23 01:51:42,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1369
2022-11-23T02:04:38.5483996Z [2022-11-23 01:51:42,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.5484555Z [2022-11-23 01:51:42,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5484990Z [2022-11-23 01:51:42,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5485454Z [2022-11-23 01:51:42,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5485961Z [2022-11-23 01:51:42,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5486384Z [2022-11-23 01:51:42,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1370
2022-11-23T02:04:38.5486724Z [2022-11-23 01:51:42,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:38.5487252Z [2022-11-23 01:51:42,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5487726Z [2022-11-23 01:51:42,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5488224Z [2022-11-23 01:51:42,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5488771Z [2022-11-23 01:51:42,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5489267Z [2022-11-23 01:51:42,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5489854Z [2022-11-23 01:51:42,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5490455Z [2022-11-23 01:51:42,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5491000Z [2022-11-23 01:51:42,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5491363Z [2022-11-23 01:51:42,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5491780Z [2022-11-23 01:51:42,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5492206Z [2022-11-23 01:51:42,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1368
2022-11-23T02:04:38.5492620Z [2022-11-23 01:51:42,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5492959Z [2022-11-23 01:51:42,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.5493464Z [2022-11-23 01:51:42,039] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa6411328c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1367>
2022-11-23T02:04:38.5493798Z [2022-11-23 01:51:42,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.5494121Z [2022-11-23 01:51:42,039] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.5494455Z [2022-11-23 01:51:42,042] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.5494802Z [2022-11-23 01:51:42,050] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.5495064Z [2022-11-23 01:51:42,051] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.5495253Z  __compiled_fn_44 <eval_with_key>.288 opcode, name, target, args, kwargs
2022-11-23T02:04:38.5495382Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.5495506Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.5495827Z call_function, bmm, <built-in method bmm of type object at 0x7fa5855aec60>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.5496512Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:38.5496916Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T02:04:38.5497447Z call_function, bmm_1, <built-in method bmm of type object at 0x7fa5855aec60>, (add, add_1), {}
2022-11-23T02:04:38.5497879Z call_function, add_2, <built-in function add>, (bmm_1, 3), {}
2022-11-23T02:04:38.5498115Z output, output, output, ((bmm, add_2),), {}
2022-11-23T02:04:38.5498150Z 
2022-11-23T02:04:38.5498650Z [2022-11-23 01:51:42,051] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5498787Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.5498917Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5499044Z               4 BUILD_MAP                0
2022-11-23T02:04:38.5499158Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.5499285Z               8 DICT_MERGE               1
2022-11-23T02:04:38.5499417Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.5499528Z              12 RETURN_VALUE
2022-11-23T02:04:38.5499548Z 
2022-11-23T02:04:38.5499642Z  
2022-11-23T02:04:38.5500264Z [2022-11-23 01:51:42,051] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5500419Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_44)
2022-11-23T02:04:38.5500555Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5500667Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5500782Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.5500911Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5501041Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5501155Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.5501285Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.5501430Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.5501557Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5501688Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5501808Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.5501952Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5502081Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5502272Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.5502473Z              30 BUILD_TUPLE              2
2022-11-23T02:04:38.5502574Z              32 RETURN_VALUE
2022-11-23T02:04:38.5502612Z 
2022-11-23T02:04:38.5502687Z  
2022-11-23T02:04:38.5502945Z [2022-11-23 01:51:42,053] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.5503051Z  - 
2022-11-23T02:04:38.5503218Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.5503317Z             {
2022-11-23T02:04:38.5503512Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.5503750Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.5503920Z                 'obj_weakref': None
2022-11-23T02:04:38.5504226Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.5504332Z             }
2022-11-23T02:04:38.5504428Z             
2022-11-23T02:04:38.5504536Z  - 
2022-11-23T02:04:38.5504714Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.5504792Z             {
2022-11-23T02:04:38.5504992Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5505143Z                 'code': None,
2022-11-23T02:04:38.5505432Z                 'obj_weakref': <weakref at 0x7fa531fa4040; to 'Tensor' at 0x7fa6237e11c0>
2022-11-23T02:04:38.5505773Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5505869Z             }
2022-11-23T02:04:38.5505962Z             
2022-11-23T02:04:38.5506050Z  - 
2022-11-23T02:04:38.5506226Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.5506322Z             {
2022-11-23T02:04:38.5506521Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5506679Z                 'code': None,
2022-11-23T02:04:38.5506965Z                 'obj_weakref': <weakref at 0x7fa531fa58f0; to 'Tensor' at 0x7fa6237e12b0>
2022-11-23T02:04:38.5507307Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5507407Z             }
2022-11-23T02:04:38.5507486Z             
2022-11-23T02:04:38.5507596Z  - 
2022-11-23T02:04:38.5507780Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.5507875Z             {
2022-11-23T02:04:38.5508064Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.5508294Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.5508446Z                 'obj_weakref': None
2022-11-23T02:04:38.5508755Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.5508852Z             }
2022-11-23T02:04:38.5745648Z             
2022-11-23T02:04:38.5746178Z  - 
2022-11-23T02:04:38.5746945Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.5747035Z             {
2022-11-23T02:04:38.5747251Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.5747576Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.5747753Z                 'obj_weakref': None
2022-11-23T02:04:38.5748055Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.5748144Z             }
2022-11-23T02:04:38.5748222Z             
2022-11-23T02:04:38.5748319Z  - 
2022-11-23T02:04:38.5748504Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.5748593Z             {
2022-11-23T02:04:38.5748753Z                 'guard_types': None,
2022-11-23T02:04:38.5748898Z                 'code': None,
2022-11-23T02:04:38.5749049Z                 'obj_weakref': None
2022-11-23T02:04:38.5749212Z                 'guarded_class': None
2022-11-23T02:04:38.5749303Z             }
2022-11-23T02:04:38.5749395Z             
2022-11-23T02:04:38.5749747Z [2022-11-23 01:51:42,067] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 43
2022-11-23T02:04:38.5750340Z [2022-11-23 01:51:44,721] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2i/c2ie2qek2c7zskesybdoym56kjsduvovskvl72z3fvvn7nrjvibd.py
2022-11-23T02:04:38.5750709Z [2022-11-23 01:51:44,721] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 43
2022-11-23T02:04:38.5750735Z 
2022-11-23T02:04:38.5750871Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.5750957Z import torch
2022-11-23T02:04:38.5751061Z import random
2022-11-23T02:04:38.5751227Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.5751397Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.5751417Z 
2022-11-23T02:04:38.5751533Z aten = torch.ops.aten
2022-11-23T02:04:38.5751719Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.5751860Z async_compile = AsyncCompile()
2022-11-23T02:04:38.5751880Z 
2022-11-23T02:04:38.5751899Z 
2022-11-23T02:04:38.5752098Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.5752368Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.5752536Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.5752687Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.5752830Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.5752968Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:38.5753058Z {
2022-11-23T02:04:38.5753201Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.5753277Z     {
2022-11-23T02:04:38.5753450Z         #pragma omp for 
2022-11-23T02:04:38.5753572Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:38.5753668Z         {
2022-11-23T02:04:38.5753901Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.5754094Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:38.5754216Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.5754345Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.5754422Z         }
2022-11-23T02:04:38.5754567Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.5754693Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T02:04:38.5754784Z         {
2022-11-23T02:04:38.5754903Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.5755047Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:38.5755151Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.5755272Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.5755366Z         }
2022-11-23T02:04:38.5755482Z         #pragma omp for 
2022-11-23T02:04:38.5755601Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:38.5755693Z         {
2022-11-23T02:04:38.5755877Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:38.5756144Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:38.5756251Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.5756376Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T02:04:38.5756474Z         }
2022-11-23T02:04:38.5756610Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.5756727Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T02:04:38.5756817Z         {
2022-11-23T02:04:38.5756921Z             auto tmp0 = in_ptr1[i0];
2022-11-23T02:04:38.5757062Z             auto tmp1 = static_cast<float>(2);
2022-11-23T02:04:38.5757188Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.5757305Z             out_ptr1[i0] = tmp2;
2022-11-23T02:04:38.5757399Z         }
2022-11-23T02:04:38.5757493Z     }
2022-11-23T02:04:38.5757586Z }
2022-11-23T02:04:38.5757699Z ''')
2022-11-23T02:04:38.5757718Z 
2022-11-23T02:04:38.5757756Z 
2022-11-23T02:04:38.5757927Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T02:04:38.5758221Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.5758389Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T02:04:38.5758484Z {
2022-11-23T02:04:38.5758678Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.5758779Z     {
2022-11-23T02:04:38.5758877Z         #pragma omp for 
2022-11-23T02:04:38.5759002Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:38.5759099Z         {
2022-11-23T02:04:38.5759303Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T02:04:38.5759498Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T02:04:38.5759628Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.5759777Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:38.5759882Z         }
2022-11-23T02:04:38.5760000Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.5760131Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T02:04:38.5760240Z         {
2022-11-23T02:04:38.5760376Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T02:04:38.5760528Z             auto tmp1 = static_cast<float>(3);
2022-11-23T02:04:38.5760660Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.5760791Z             in_out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.5760869Z         }
2022-11-23T02:04:38.5760968Z     }
2022-11-23T02:04:38.5761067Z }
2022-11-23T02:04:38.5761199Z ''')
2022-11-23T02:04:38.5761219Z 
2022-11-23T02:04:38.5761237Z 
2022-11-23T02:04:38.5761380Z async_compile.wait(globals())
2022-11-23T02:04:38.5761496Z del async_compile
2022-11-23T02:04:38.5761515Z 
2022-11-23T02:04:38.5761628Z def call(args):
2022-11-23T02:04:38.5761725Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.5761839Z     args.clear()
2022-11-23T02:04:38.5762127Z     buf0 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5762274Z     aten.bmm.out(arg0_1, arg1_1, out=buf0)
2022-11-23T02:04:38.5762559Z     buf1 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5762840Z     buf2 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5763115Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:38.5763202Z     del arg0_1
2022-11-23T02:04:38.5763317Z     del arg1_1
2022-11-23T02:04:38.5763603Z     buf3 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5763748Z     aten.bmm.out(buf1, buf2, out=buf3)
2022-11-23T02:04:38.5763855Z     del buf1
2022-11-23T02:04:38.5763962Z     del buf2
2022-11-23T02:04:38.5764097Z     buf4 = buf3; del buf3  # reuse
2022-11-23T02:04:38.5764225Z     kernel_cpp_1(c_void_p(buf4.data_ptr()))
2022-11-23T02:04:38.5764347Z     return (buf0, buf4, )
2022-11-23T02:04:38.5764367Z 
2022-11-23T02:04:38.5764386Z 
2022-11-23T02:04:38.5764506Z if __name__ == "__main__":
2022-11-23T02:04:38.5764745Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.5764925Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.5765213Z     arg0_1 = rand_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5765494Z     arg1_1 = rand_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5765666Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.5765685Z 
2022-11-23T02:04:38.5765703Z 
2022-11-23T02:04:38.5765846Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.5765934Z import torch
2022-11-23T02:04:38.5766046Z import random
2022-11-23T02:04:38.5766221Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.5766398Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.5766417Z 
2022-11-23T02:04:38.5766540Z aten = torch.ops.aten
2022-11-23T02:04:38.5766737Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.5766885Z async_compile = AsyncCompile()
2022-11-23T02:04:38.5766905Z 
2022-11-23T02:04:38.5766923Z 
2022-11-23T02:04:38.5767119Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.5767378Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.5767672Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.5767833Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.5767982Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.5768127Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:38.5768231Z {
2022-11-23T02:04:38.5768379Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.5768454Z     {
2022-11-23T02:04:38.5768576Z         #pragma omp for 
2022-11-23T02:04:38.5768705Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:38.5768807Z         {
2022-11-23T02:04:38.5769009Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.5769209Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:38.5769341Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.5769454Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.5769575Z         }
2022-11-23T02:04:38.5769722Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.5769854Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T02:04:38.5769954Z         {
2022-11-23T02:04:38.5770059Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.5770215Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:38.5770344Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.5770467Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.5770568Z         }
2022-11-23T02:04:38.5770688Z         #pragma omp for 
2022-11-23T02:04:38.5770787Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:38.5770887Z         {
2022-11-23T02:04:38.5771074Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:38.5771268Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:38.5771394Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.5771534Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T02:04:38.5771634Z         }
2022-11-23T02:04:38.5771779Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.5771884Z         for(long i0=80; i0<80; i0+=1)
2022-11-23T02:04:38.5771983Z         {
2022-11-23T02:04:38.5772110Z             auto tmp0 = in_ptr1[i0];
2022-11-23T02:04:38.5772261Z             auto tmp1 = static_cast<float>(2);
2022-11-23T02:04:38.5772388Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.5772517Z             out_ptr1[i0] = tmp2;
2022-11-23T02:04:38.5772592Z         }
2022-11-23T02:04:38.5772691Z     }
2022-11-23T02:04:38.5772790Z }
2022-11-23T02:04:38.5772928Z ''')
2022-11-23T02:04:38.5772948Z 
2022-11-23T02:04:38.5772966Z 
2022-11-23T02:04:38.5773162Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T02:04:38.5773458Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.5773707Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T02:04:38.5773804Z {
2022-11-23T02:04:38.5773926Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.5774033Z     {
2022-11-23T02:04:38.5774151Z         #pragma omp for 
2022-11-23T02:04:38.5774272Z         for(long i0=0; i0<20; i0+=1)
2022-11-23T02:04:38.5774374Z         {
2022-11-23T02:04:38.5774571Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T02:04:38.5774766Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T02:04:38.5774870Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.5775016Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:38.5775129Z         }
2022-11-23T02:04:38.5775268Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.5775396Z         for(long i0=160; i0<160; i0+=1)
2022-11-23T02:04:38.5775503Z         {
2022-11-23T02:04:38.5775636Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T02:04:38.5775760Z             auto tmp1 = static_cast<float>(3);
2022-11-23T02:04:38.5775888Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.5776014Z             in_out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.5777051Z         }
2022-11-23T02:04:38.5777230Z     }
2022-11-23T02:04:38.5777381Z }
2022-11-23T02:04:38.5777588Z ''')
2022-11-23T02:04:38.5777652Z 
2022-11-23T02:04:38.5777678Z 
2022-11-23T02:04:38.5777885Z async_compile.wait(globals())
2022-11-23T02:04:38.5778069Z del async_compile
2022-11-23T02:04:38.5778098Z 
2022-11-23T02:04:38.5778279Z def call(args):
2022-11-23T02:04:38.5778462Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.5778627Z     args.clear()
2022-11-23T02:04:38.5778940Z     buf0 = empty_strided((1, 16, 10), (160, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5779178Z     aten.mm.out(as_strided(arg0_1, (16, 8), (8, 1)), as_strided(arg1_1, (8, 10), (10, 1)), out=as_strided(buf0, (16, 10), (10, 1)))
2022-11-23T02:04:38.5779447Z     buf1 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5779728Z     buf2 = empty_strided((1, 8, 10), (80, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5779999Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:38.5780114Z     del arg0_1
2022-11-23T02:04:38.5780219Z     del arg1_1
2022-11-23T02:04:38.5780503Z     buf3 = empty_strided((1, 16, 10), (160, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5780738Z     aten.mm.out(as_strided(buf1, (16, 8), (8, 1)), as_strided(buf2, (8, 10), (10, 1)), out=as_strided(buf3, (16, 10), (10, 1)))
2022-11-23T02:04:38.5780845Z     del buf1
2022-11-23T02:04:38.5780925Z     del buf2
2022-11-23T02:04:38.5781054Z     buf4 = buf3; del buf3  # reuse
2022-11-23T02:04:38.5781205Z     kernel_cpp_1(c_void_p(buf4.data_ptr()))
2022-11-23T02:04:38.5781330Z     return (buf0, buf4, )
2022-11-23T02:04:38.5781350Z 
2022-11-23T02:04:38.5781368Z 
2022-11-23T02:04:38.5781483Z if __name__ == "__main__":
2022-11-23T02:04:38.5781659Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.5781841Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.5782130Z     arg0_1 = rand_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5782385Z     arg1_1 = rand_strided((1, 8, 10), (80, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5782553Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.5782573Z 
2022-11-23T02:04:38.5782681Z ok (5.411s)
2022-11-23T02:04:38.5783095Z   test_bmm2_cpu (__main__.CpuTests) ... [2022-11-23 01:51:44,729] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.5783528Z [2022-11-23 01:51:44,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.5783969Z [2022-11-23 01:51:44,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.5784375Z [2022-11-23 01:51:44,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.5784764Z [2022-11-23 01:51:44,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.5785202Z [2022-11-23 01:51:44,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5785646Z [2022-11-23 01:51:44,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5786087Z [2022-11-23 01:51:44,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5786595Z [2022-11-23 01:51:44,730] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641132a20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1391> 
2022-11-23T02:04:38.5786741Z  1392           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5786964Z                2 LOAD_METHOD              1 (bmm)
2022-11-23T02:04:38.5787109Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5787260Z                6 LOAD_METHOD              2 (permute)
2022-11-23T02:04:38.5787396Z                8 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5787531Z               10 LOAD_CONST               2 (2)
2022-11-23T02:04:38.5787643Z               12 LOAD_CONST               3 (1)
2022-11-23T02:04:38.5787778Z               14 CALL_METHOD              3
2022-11-23T02:04:38.5787910Z               16 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5788044Z               18 CALL_METHOD              2
2022-11-23T02:04:38.5788163Z               20 RETURN_VALUE
2022-11-23T02:04:38.5788266Z  
2022-11-23T02:04:38.5788286Z 
2022-11-23T02:04:38.5788726Z [2022-11-23 01:51:44,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1392
2022-11-23T02:04:38.5789010Z [2022-11-23 01:51:44,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.5789501Z [2022-11-23 01:51:44,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5789932Z [2022-11-23 01:51:44,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5790408Z [2022-11-23 01:51:44,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5790936Z [2022-11-23 01:51:44,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), permute)]
2022-11-23T02:04:38.5791518Z [2022-11-23 01:51:44,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int)]
2022-11-23T02:04:38.5792134Z [2022-11-23 01:51:44,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.5792800Z [2022-11-23 01:51:44,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.5793332Z [2022-11-23 01:51:44,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5793850Z [2022-11-23 01:51:44,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method bmm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5794195Z [2022-11-23 01:51:44,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.5794707Z [2022-11-23 01:51:44,736] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641132a20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1391>
2022-11-23T02:04:38.5795048Z [2022-11-23 01:51:44,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.5795377Z [2022-11-23 01:51:44,736] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.5795710Z [2022-11-23 01:51:44,738] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.5796109Z [2022-11-23 01:51:44,743] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.5796382Z [2022-11-23 01:51:44,744] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.5796579Z  __compiled_fn_45 <eval_with_key>.294 opcode, name, target, args, kwargs
2022-11-23T02:04:38.5796720Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.5796851Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.5797015Z call_method, permute, permute, (ex_0_, 0, 2, 1), {}
2022-11-23T02:04:38.5797347Z call_function, bmm, <built-in method bmm of type object at 0x7fa5855aec60>, (permute, ex_1_), {}
2022-11-23T02:04:38.5797470Z output, output, output, ((bmm,),), {}
2022-11-23T02:04:38.5797490Z 
2022-11-23T02:04:38.5797935Z [2022-11-23 01:51:44,744] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5798087Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.5798227Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5798371Z               4 BUILD_MAP                0
2022-11-23T02:04:38.5798520Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.5798654Z               8 DICT_MERGE               1
2022-11-23T02:04:38.5798765Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.5798885Z              12 RETURN_VALUE
2022-11-23T02:04:38.5798905Z 
2022-11-23T02:04:38.5799003Z  
2022-11-23T02:04:38.5799442Z [2022-11-23 01:51:44,745] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5799609Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_45)
2022-11-23T02:04:38.5799747Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5799892Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5800012Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.5800121Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5800254Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5800374Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.5800509Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.5800643Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.5800763Z              18 RETURN_VALUE
2022-11-23T02:04:38.5800784Z 
2022-11-23T02:04:38.5800882Z  
2022-11-23T02:04:38.5801125Z [2022-11-23 01:51:44,746] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.5801244Z  - 
2022-11-23T02:04:38.5801415Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.5801513Z             {
2022-11-23T02:04:38.5801712Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.5801973Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.5802235Z                 'obj_weakref': None
2022-11-23T02:04:38.5802528Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.5802633Z             }
2022-11-23T02:04:38.5802738Z             
2022-11-23T02:04:38.5802853Z  - 
2022-11-23T02:04:38.5803041Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.5803142Z             {
2022-11-23T02:04:38.5803350Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5803486Z                 'code': None,
2022-11-23T02:04:38.5803779Z                 'obj_weakref': <weakref at 0x7fa531fc2660; to 'Tensor' at 0x7fa6237e11c0>
2022-11-23T02:04:38.5804134Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5804238Z             }
2022-11-23T02:04:38.5804342Z             
2022-11-23T02:04:38.5804453Z  - 
2022-11-23T02:04:38.5804630Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.5804713Z             {
2022-11-23T02:04:38.5804922Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5805079Z                 'code': None,
2022-11-23T02:04:38.5805486Z                 'obj_weakref': <weakref at 0x7fa531fc27f0; to 'Tensor' at 0x7fa5322f81d0>
2022-11-23T02:04:38.5805842Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5805944Z             }
2022-11-23T02:04:38.5806047Z             
2022-11-23T02:04:38.5806134Z  - 
2022-11-23T02:04:38.5806321Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.5806423Z             {
2022-11-23T02:04:38.5806623Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.5806866Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.5807038Z                 'obj_weakref': None
2022-11-23T02:04:38.5807365Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.5807452Z             }
2022-11-23T02:04:38.5807557Z             
2022-11-23T02:04:38.5807674Z  - 
2022-11-23T02:04:38.5807850Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.5807954Z             {
2022-11-23T02:04:38.5808157Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.5808456Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.5808606Z                 'obj_weakref': None
2022-11-23T02:04:38.5808912Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.5809012Z             }
2022-11-23T02:04:38.5809116Z             
2022-11-23T02:04:38.5809228Z  - 
2022-11-23T02:04:38.5809419Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.5809517Z             {
2022-11-23T02:04:38.5809668Z                 'guard_types': None,
2022-11-23T02:04:38.5809825Z                 'code': None,
2022-11-23T02:04:38.5810005Z                 'obj_weakref': None
2022-11-23T02:04:38.5810178Z                 'guarded_class': None
2022-11-23T02:04:38.5810279Z             }
2022-11-23T02:04:38.5810382Z             
2022-11-23T02:04:38.5810750Z [2022-11-23 01:51:44,756] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 44
2022-11-23T02:04:38.5811227Z [2022-11-23 01:51:44,760] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d3/cd3gwhzvxithzo666ro2erxgfvvearf4fkggfxxaauv2nzqvov2f.py
2022-11-23T02:04:38.5811597Z [2022-11-23 01:51:44,760] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 44
2022-11-23T02:04:38.5811619Z 
2022-11-23T02:04:38.5811763Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.5811875Z import torch
2022-11-23T02:04:38.5811985Z import random
2022-11-23T02:04:38.5812155Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.5812334Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.5812437Z 
2022-11-23T02:04:38.5812566Z aten = torch.ops.aten
2022-11-23T02:04:38.5812737Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.5812875Z async_compile = AsyncCompile()
2022-11-23T02:04:38.5812894Z 
2022-11-23T02:04:38.5812913Z 
2022-11-23T02:04:38.5813057Z async_compile.wait(globals())
2022-11-23T02:04:38.5813175Z del async_compile
2022-11-23T02:04:38.5813195Z 
2022-11-23T02:04:38.5813307Z def call(args):
2022-11-23T02:04:38.5813427Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.5813539Z     args.clear()
2022-11-23T02:04:38.5813828Z     buf0 = empty_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5814033Z     aten.mm.out(as_strided(arg0_1, (8, 8), (1, 8)), as_strided(arg1_1, (8, 8), (8, 1)), out=as_strided(buf0, (8, 8), (8, 1)))
2022-11-23T02:04:38.5814141Z     del arg0_1
2022-11-23T02:04:38.5814251Z     del arg1_1
2022-11-23T02:04:38.5814365Z     return (buf0, )
2022-11-23T02:04:38.5814385Z 
2022-11-23T02:04:38.5814403Z 
2022-11-23T02:04:38.5814524Z if __name__ == "__main__":
2022-11-23T02:04:38.5814690Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.5814876Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.5815229Z     arg0_1 = rand_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5815495Z     arg1_1 = rand_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5815674Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.5815694Z 
2022-11-23T02:04:38.5815801Z ok (0.038s)
2022-11-23T02:04:38.5816896Z   test_bool_cpu (__main__.CpuTests) ... [2022-11-23 01:51:44,768] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.5817689Z [2022-11-23 01:51:44,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.5818212Z [2022-11-23 01:51:44,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.5818643Z [2022-11-23 01:51:44,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.5819027Z [2022-11-23 01:51:44,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.5819462Z [2022-11-23 01:51:44,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5819909Z [2022-11-23 01:51:44,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5820347Z [2022-11-23 01:51:44,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5820843Z [2022-11-23 01:51:44,769] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641158450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 621> 
2022-11-23T02:04:38.5820989Z  623           0 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5821130Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5821253Z               4 BINARY_ADD
2022-11-23T02:04:38.5821273Z 
2022-11-23T02:04:38.5821408Z 624           6 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5821538Z               8 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5821662Z              10 BINARY_MULTIPLY
2022-11-23T02:04:38.5821681Z 
2022-11-23T02:04:38.5821791Z 625          12 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5821924Z              14 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5822038Z              16 BINARY_AND
2022-11-23T02:04:38.5822057Z 
2022-11-23T02:04:38.5822187Z 626          18 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5822318Z              20 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5822429Z              22 BINARY_OR
2022-11-23T02:04:38.5822610Z 
2022-11-23T02:04:38.5822754Z 627          24 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5822885Z              26 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5822981Z              28 BINARY_XOR
2022-11-23T02:04:38.5823000Z 
2022-11-23T02:04:38.5823217Z 628          30 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5823370Z              32 LOAD_METHOD              1 (logical_and)
2022-11-23T02:04:38.5823503Z              34 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5823629Z              36 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5823764Z              38 CALL_METHOD              2
2022-11-23T02:04:38.5823783Z 
2022-11-23T02:04:38.5823923Z 629          40 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5824078Z              42 LOAD_METHOD              2 (logical_or)
2022-11-23T02:04:38.5824190Z              44 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5824319Z              46 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5824452Z              48 CALL_METHOD              2
2022-11-23T02:04:38.5824471Z 
2022-11-23T02:04:38.5824608Z 630          50 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5824758Z              52 LOAD_METHOD              3 (logical_not)
2022-11-23T02:04:38.5824970Z              54 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5825110Z              56 CALL_METHOD              1
2022-11-23T02:04:38.5825130Z 
2022-11-23T02:04:38.5825244Z 631          58 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5825382Z              60 LOAD_METHOD              4 (sign)
2022-11-23T02:04:38.5825518Z              62 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5825646Z              64 CALL_METHOD              1
2022-11-23T02:04:38.5825666Z 
2022-11-23T02:04:38.5825797Z 622          66 BUILD_TUPLE              9
2022-11-23T02:04:38.5825915Z              68 RETURN_VALUE
2022-11-23T02:04:38.5826017Z  
2022-11-23T02:04:38.5826036Z 
2022-11-23T02:04:38.5826476Z [2022-11-23 01:51:44,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:623
2022-11-23T02:04:38.5826750Z [2022-11-23 01:51:44,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:38.5827086Z [2022-11-23 01:51:44,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:38.5827460Z [2022-11-23 01:51:44,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5827885Z [2022-11-23 01:51:44,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:624
2022-11-23T02:04:38.5828212Z [2022-11-23 01:51:44,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:38.5828580Z [2022-11-23 01:51:44,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5829006Z [2022-11-23 01:51:44,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5829431Z [2022-11-23 01:51:44,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:625
2022-11-23T02:04:38.5829800Z [2022-11-23 01:51:44,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5830201Z [2022-11-23 01:51:44,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5830617Z [2022-11-23 01:51:44,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_AND None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5831042Z [2022-11-23 01:51:44,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:626
2022-11-23T02:04:38.5831505Z [2022-11-23 01:51:44,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5831941Z [2022-11-23 01:51:44,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5832415Z [2022-11-23 01:51:44,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_OR None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5832831Z [2022-11-23 01:51:44,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:627
2022-11-23T02:04:38.5833259Z [2022-11-23 01:51:44,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5833726Z [2022-11-23 01:51:44,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5834295Z [2022-11-23 01:51:44,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_XOR None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5834728Z [2022-11-23 01:51:44,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:628
2022-11-23T02:04:38.5835211Z [2022-11-23 01:51:44,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5835910Z [2022-11-23 01:51:44,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_and [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5836542Z [2022-11-23 01:51:44,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5837213Z [2022-11-23 01:51:44,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5837928Z [2022-11-23 01:51:44,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5838328Z [2022-11-23 01:51:44,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:629
2022-11-23T02:04:38.5838848Z [2022-11-23 01:51:44,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5839584Z [2022-11-23 01:51:44,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_or [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5840245Z [2022-11-23 01:51:44,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5840948Z [2022-11-23 01:51:44,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5841763Z [2022-11-23 01:51:44,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5842191Z [2022-11-23 01:51:44,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:630
2022-11-23T02:04:38.5842751Z [2022-11-23 01:51:44,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5843515Z [2022-11-23 01:51:44,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5844281Z [2022-11-23 01:51:44,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5845025Z [2022-11-23 01:51:44,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5845447Z [2022-11-23 01:51:44,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:631
2022-11-23T02:04:38.5846063Z [2022-11-23 01:51:44,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5846845Z [2022-11-23 01:51:44,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sign [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5847562Z [2022-11-23 01:51:44,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method sign of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5848358Z [2022-11-23 01:51:44,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method sign of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5848790Z [2022-11-23 01:51:44,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:622
2022-11-23T02:04:38.5849417Z [2022-11-23 01:51:44,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 9 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5849769Z [2022-11-23 01:51:44,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.5850282Z [2022-11-23 01:51:44,792] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641158450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 621>
2022-11-23T02:04:38.5850711Z [2022-11-23 01:51:44,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.5851036Z [2022-11-23 01:51:44,792] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.5851399Z [2022-11-23 01:51:44,795] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.5851752Z [2022-11-23 01:51:44,806] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.5852030Z [2022-11-23 01:51:44,807] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.5852223Z  __compiled_fn_46 <eval_with_key>.300 opcode, name, target, args, kwargs
2022-11-23T02:04:38.5852364Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.5852502Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.5852752Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.5852981Z call_function, mul, <built-in function mul>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.5853297Z call_function, and_, <built-in function and_>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.5853551Z call_function, or_, <built-in function or_>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.5853797Z call_function, xor, <built-in function xor>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.5854163Z call_function, logical_and, <built-in method logical_and of type object at 0x7fa5855aec60>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.5854512Z call_function, logical_or, <built-in method logical_or of type object at 0x7fa5855aec60>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.5854848Z call_function, logical_not, <built-in method logical_not of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:38.5855155Z call_function, sign, <built-in method sign of type object at 0x7fa5855aec60>, (ex_1_,), {}
2022-11-23T02:04:38.5855396Z output, output, output, ((add, mul, and_, or_, xor, logical_and, logical_or, logical_not, sign),), {}
2022-11-23T02:04:38.5855420Z 
2022-11-23T02:04:38.5855852Z [2022-11-23 01:51:44,808] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5856003Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.5856741Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5856966Z               4 BUILD_MAP                0
2022-11-23T02:04:38.5857193Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.5857403Z               8 DICT_MERGE               1
2022-11-23T02:04:38.5857618Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.5857776Z              12 RETURN_VALUE
2022-11-23T02:04:38.5857832Z 
2022-11-23T02:04:38.5857956Z  
2022-11-23T02:04:38.5858527Z [2022-11-23 01:51:44,808] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5858697Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_46)
2022-11-23T02:04:38.5858835Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5858977Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5859103Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.5859241Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5859350Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5859468Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.5859606Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.5859762Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.5859914Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5860052Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5860170Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.5860506Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5860641Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5860759Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.5860916Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5861055Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:38.5861172Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.5861329Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5861462Z              38 LOAD_CONST               4 (3)
2022-11-23T02:04:38.5861557Z              40 BINARY_SUBSCR
2022-11-23T02:04:38.5861709Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5861844Z              44 LOAD_CONST               5 (4)
2022-11-23T02:04:38.5861961Z              46 BINARY_SUBSCR
2022-11-23T02:04:38.5862109Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5862241Z              50 LOAD_CONST               6 (5)
2022-11-23T02:04:38.5862364Z              52 BINARY_SUBSCR
2022-11-23T02:04:38.5862489Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5862621Z              56 LOAD_CONST               7 (6)
2022-11-23T02:04:38.5862738Z              58 BINARY_SUBSCR
2022-11-23T02:04:38.5862970Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5863113Z              62 LOAD_CONST               8 (7)
2022-11-23T02:04:38.5863230Z              64 BINARY_SUBSCR
2022-11-23T02:04:38.5863383Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5863492Z              68 LOAD_CONST               9 (8)
2022-11-23T02:04:38.5863612Z              70 BINARY_SUBSCR
2022-11-23T02:04:38.5863745Z              72 BUILD_TUPLE              9
2022-11-23T02:04:38.5863864Z              74 RETURN_VALUE
2022-11-23T02:04:38.5863885Z 
2022-11-23T02:04:38.5863983Z  
2022-11-23T02:04:38.5864259Z [2022-11-23 01:51:44,809] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.5864376Z  - 
2022-11-23T02:04:38.5864527Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.5864630Z             {
2022-11-23T02:04:38.5864832Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.5865093Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.5865273Z                 'obj_weakref': None
2022-11-23T02:04:38.5865587Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.5865691Z             }
2022-11-23T02:04:38.5865770Z             
2022-11-23T02:04:38.5865881Z  - 
2022-11-23T02:04:38.5866062Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.5866165Z             {
2022-11-23T02:04:38.5866371Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5866530Z                 'code': None,
2022-11-23T02:04:38.5866829Z                 'obj_weakref': <weakref at 0x7fa5322439c0; to 'Tensor' at 0x7fa6237e11c0>
2022-11-23T02:04:38.5867156Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5867259Z             }
2022-11-23T02:04:38.5867358Z             
2022-11-23T02:04:38.5867474Z  - 
2022-11-23T02:04:38.5867657Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.5867762Z             {
2022-11-23T02:04:38.5867967Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5868103Z                 'code': None,
2022-11-23T02:04:38.5868394Z                 'obj_weakref': <weakref at 0x7fa53214da30; to 'Tensor' at 0x7fa5320f6a70>
2022-11-23T02:04:38.5868737Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5868839Z             }
2022-11-23T02:04:38.5868940Z             
2022-11-23T02:04:38.5869049Z  - 
2022-11-23T02:04:38.5869243Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.5869321Z             {
2022-11-23T02:04:38.5869598Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.5869837Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.5870008Z                 'obj_weakref': None
2022-11-23T02:04:38.5870326Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.5870429Z             }
2022-11-23T02:04:38.5870528Z             
2022-11-23T02:04:38.5870615Z  - 
2022-11-23T02:04:38.5870794Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.5870895Z             {
2022-11-23T02:04:38.5871091Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.5871389Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.5871559Z                 'obj_weakref': None
2022-11-23T02:04:38.5871865Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.5871944Z             }
2022-11-23T02:04:38.5872048Z             
2022-11-23T02:04:38.5872160Z  - 
2022-11-23T02:04:38.5872349Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.5872455Z             {
2022-11-23T02:04:38.5872628Z                 'guard_types': None,
2022-11-23T02:04:38.5872786Z                 'code': None,
2022-11-23T02:04:38.5873042Z                 'obj_weakref': None
2022-11-23T02:04:38.5873249Z                 'guarded_class': None
2022-11-23T02:04:38.5873327Z             }
2022-11-23T02:04:38.5873476Z             
2022-11-23T02:04:38.5873790Z [2022-11-23 01:51:44,829] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 45
2022-11-23T02:04:38.5874280Z [2022-11-23 01:51:47,403] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d7/cd7v4bf77xcjo4exe7shhumqqvmrfaabtgggd4aba3vd26w4y5xf.py
2022-11-23T02:04:38.5874645Z [2022-11-23 01:51:47,403] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 45
2022-11-23T02:04:38.5874668Z 
2022-11-23T02:04:38.5874817Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.5874904Z import torch
2022-11-23T02:04:38.5875013Z import random
2022-11-23T02:04:38.5875183Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.5875359Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.5875384Z 
2022-11-23T02:04:38.5875509Z aten = torch.ops.aten
2022-11-23T02:04:38.5875701Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.5875836Z async_compile = AsyncCompile()
2022-11-23T02:04:38.5875856Z 
2022-11-23T02:04:38.5875875Z 
2022-11-23T02:04:38.5876073Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.5876335Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.5876511Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T02:04:38.5876668Z                        const bool* __restrict__ in_ptr1,
2022-11-23T02:04:38.5876817Z                        bool* __restrict__ out_ptr0,
2022-11-23T02:04:38.5876969Z                        bool* __restrict__ out_ptr1,
2022-11-23T02:04:38.5877109Z                        bool* __restrict__ out_ptr2,
2022-11-23T02:04:38.5877250Z                        bool* __restrict__ out_ptr3,
2022-11-23T02:04:38.5877368Z                        bool* __restrict__ out_ptr4,
2022-11-23T02:04:38.5877505Z                        bool* __restrict__ out_ptr5,
2022-11-23T02:04:38.5877646Z                        bool* __restrict__ out_ptr6,
2022-11-23T02:04:38.5877785Z                        bool* __restrict__ out_ptr7,
2022-11-23T02:04:38.5877918Z                        bool* __restrict__ out_ptr8)
2022-11-23T02:04:38.5878017Z {
2022-11-23T02:04:38.5878141Z     #pragma GCC ivdep
2022-11-23T02:04:38.5878240Z     for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:38.5878339Z     {
2022-11-23T02:04:38.5878438Z         {
2022-11-23T02:04:38.5878541Z             {
2022-11-23T02:04:38.5878682Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.5878818Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:38.5879099Z                 auto tmp2 = tmp0 || tmp1;
2022-11-23T02:04:38.5879209Z                 auto tmp3 = tmp0 && tmp1;
2022-11-23T02:04:38.5879379Z                 auto tmp4 = tmp0 & tmp1;
2022-11-23T02:04:38.5879473Z                 auto tmp5 = tmp0 | tmp1;
2022-11-23T02:04:38.5879640Z                 auto tmp6 = tmp0 ^ tmp1;
2022-11-23T02:04:38.5879729Z                 auto tmp7 = tmp0 == 0;
2022-11-23T02:04:38.5879857Z                 out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.5879977Z                 out_ptr1[i0] = tmp3;
2022-11-23T02:04:38.5880077Z                 out_ptr2[i0] = tmp4;
2022-11-23T02:04:38.5880200Z                 out_ptr3[i0] = tmp5;
2022-11-23T02:04:38.5880321Z                 out_ptr4[i0] = tmp6;
2022-11-23T02:04:38.5880441Z                 out_ptr5[i0] = tmp3;
2022-11-23T02:04:38.5880565Z                 out_ptr6[i0] = tmp2;
2022-11-23T02:04:38.5880686Z                 out_ptr7[i0] = tmp7;
2022-11-23T02:04:38.5880806Z                 out_ptr8[i0] = tmp1;
2022-11-23T02:04:38.5880888Z             }
2022-11-23T02:04:38.5880990Z         }
2022-11-23T02:04:38.5881089Z     }
2022-11-23T02:04:38.5881189Z }
2022-11-23T02:04:38.5881329Z ''')
2022-11-23T02:04:38.5881349Z 
2022-11-23T02:04:38.5881369Z 
2022-11-23T02:04:38.5881560Z async_compile.wait(globals())
2022-11-23T02:04:38.5881680Z del async_compile
2022-11-23T02:04:38.5881700Z 
2022-11-23T02:04:38.5881788Z def call(args):
2022-11-23T02:04:38.5881905Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.5882018Z     args.clear()
2022-11-23T02:04:38.5882287Z     buf0 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5882550Z     buf1 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5882809Z     buf2 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5883065Z     buf3 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5883299Z     buf4 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5883555Z     buf5 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5883808Z     buf6 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5884063Z     buf7 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5884330Z     buf8 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5884909Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T02:04:38.5885005Z     del arg0_1
2022-11-23T02:04:38.5885095Z     del arg1_1
2022-11-23T02:04:38.5885246Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, )
2022-11-23T02:04:38.5885291Z 
2022-11-23T02:04:38.5885308Z 
2022-11-23T02:04:38.5885408Z if __name__ == "__main__":
2022-11-23T02:04:38.5885581Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.5885757Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.5886026Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5886285Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.5886456Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.5886476Z 
2022-11-23T02:04:38.5886584Z ok (2.644s)
2022-11-23T02:04:38.5887016Z   test_both_scalars_cpu (__main__.CpuTests) ... [2022-11-23 01:51:47,409] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.5887425Z [2022-11-23 01:51:47,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.5887736Z [2022-11-23 01:51:47,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.5888166Z [2022-11-23 01:51:47,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.5888548Z [2022-11-23 01:51:47,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.5888983Z [2022-11-23 01:51:47,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5889453Z [2022-11-23 01:51:47,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5889887Z [2022-11-23 01:51:47,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5890394Z [2022-11-23 01:51:47,411] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa6411314d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1211> 
2022-11-23T02:04:38.5890545Z  1213           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.5890691Z                2 LOAD_METHOD              1 (add)
2022-11-23T02:04:38.5890862Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5891007Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5891139Z                8 CALL_METHOD              2
2022-11-23T02:04:38.5891159Z 
2022-11-23T02:04:38.5891300Z 1214          10 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.5891439Z               12 LOAD_METHOD              1 (add)
2022-11-23T02:04:38.5891577Z               14 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5891712Z               16 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5891824Z               18 CALL_METHOD              2
2022-11-23T02:04:38.5891867Z 
2022-11-23T02:04:38.5891982Z 1215          20 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.5892120Z               22 LOAD_METHOD              2 (sub)
2022-11-23T02:04:38.5892259Z               24 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5892393Z               26 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5892527Z               28 CALL_METHOD              2
2022-11-23T02:04:38.5892550Z 
2022-11-23T02:04:38.5892688Z 1216          30 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.5892828Z               32 LOAD_METHOD              2 (sub)
2022-11-23T02:04:38.5892937Z               34 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5893071Z               36 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5893207Z               38 CALL_METHOD              2
2022-11-23T02:04:38.5893226Z 
2022-11-23T02:04:38.5893362Z 1217          40 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.5893500Z               42 LOAD_METHOD              3 (mul)
2022-11-23T02:04:38.5893630Z               44 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5893762Z               46 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5893902Z               48 CALL_METHOD              2
2022-11-23T02:04:38.5893921Z 
2022-11-23T02:04:38.5894036Z 1218          50 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.5894173Z               52 LOAD_METHOD              3 (mul)
2022-11-23T02:04:38.5894316Z               54 LOAD_FAST                1 (b)
2022-11-23T02:04:38.5894449Z               56 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5894591Z               58 CALL_METHOD              2
2022-11-23T02:04:38.5894610Z 
2022-11-23T02:04:38.5894748Z 1212          60 BUILD_TUPLE              6
2022-11-23T02:04:38.5894866Z               62 RETURN_VALUE
2022-11-23T02:04:38.5894940Z  
2022-11-23T02:04:38.5894983Z 
2022-11-23T02:04:38.5895407Z [2022-11-23 01:51:47,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1213
2022-11-23T02:04:38.5895713Z [2022-11-23 01:51:47,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.5896754Z [2022-11-23 01:51:47,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.5897378Z [2022-11-23 01:51:47,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.add)]
2022-11-23T02:04:38.5898065Z [2022-11-23 01:51:47,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.add), ConstantVariable(int)]
2022-11-23T02:04:38.5898582Z [2022-11-23 01:51:47,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T02:04:38.5899009Z [2022-11-23 01:51:47,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1214
2022-11-23T02:04:38.5899347Z [2022-11-23 01:51:47,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.5899790Z [2022-11-23 01:51:47,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.5900319Z [2022-11-23 01:51:47,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.add)]
2022-11-23T02:04:38.5900738Z [2022-11-23 01:51:47,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.add), ConstantVariable(float)]
2022-11-23T02:04:38.5901220Z [2022-11-23 01:51:47,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.add), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T02:04:38.5901647Z [2022-11-23 01:51:47,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1215
2022-11-23T02:04:38.5902015Z [2022-11-23 01:51:47,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5902500Z [2022-11-23 01:51:47,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.5902920Z [2022-11-23 01:51:47,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.sub)]
2022-11-23T02:04:38.5903377Z [2022-11-23 01:51:47,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(int)]
2022-11-23T02:04:38.5903901Z [2022-11-23 01:51:47,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T02:04:38.5904326Z [2022-11-23 01:51:47,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1216
2022-11-23T02:04:38.5904735Z [2022-11-23 01:51:47,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5905253Z [2022-11-23 01:51:47,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.5905694Z [2022-11-23 01:51:47,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub)]
2022-11-23T02:04:38.5906171Z [2022-11-23 01:51:47,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(float)]
2022-11-23T02:04:38.5906733Z [2022-11-23 01:51:47,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T02:04:38.5907264Z [2022-11-23 01:51:47,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1217
2022-11-23T02:04:38.5907711Z [2022-11-23 01:51:47,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5908268Z [2022-11-23 01:51:47,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.5908754Z [2022-11-23 01:51:47,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul)]
2022-11-23T02:04:38.5909298Z [2022-11-23 01:51:47,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(int)]
2022-11-23T02:04:38.5909952Z [2022-11-23 01:51:47,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T02:04:38.5910391Z [2022-11-23 01:51:47,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1218
2022-11-23T02:04:38.5910863Z [2022-11-23 01:51:47,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5911466Z [2022-11-23 01:51:47,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.5911986Z [2022-11-23 01:51:47,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul)]
2022-11-23T02:04:38.5912563Z [2022-11-23 01:51:47,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(float)]
2022-11-23T02:04:38.5913272Z [2022-11-23 01:51:47,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T02:04:38.5913693Z [2022-11-23 01:51:47,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1212
2022-11-23T02:04:38.5914179Z [2022-11-23 01:51:47,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5914527Z [2022-11-23 01:51:47,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.5915044Z [2022-11-23 01:51:47,475] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa6411314d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1211>
2022-11-23T02:04:38.5915383Z [2022-11-23 01:51:47,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.5915714Z [2022-11-23 01:51:47,475] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.5916071Z [2022-11-23 01:51:47,477] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.5916416Z [2022-11-23 01:51:47,486] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.5916750Z [2022-11-23 01:51:47,486] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.5916946Z  __compiled_fn_47 <eval_with_key>.306 opcode, name, target, args, kwargs
2022-11-23T02:04:38.5917102Z call_function, add, aten.add, (4, 3.3), {}
2022-11-23T02:04:38.5917234Z call_function, add_1, aten.add, (3.3, 4), {}
2022-11-23T02:04:38.5917380Z call_function, sub, aten.sub, (4, 3.3), {}
2022-11-23T02:04:38.5917526Z call_function, sub_1, aten.sub, (3.3, 4), {}
2022-11-23T02:04:38.5917667Z call_function, mul, aten.mul, (4, 3.3), {}
2022-11-23T02:04:38.5917813Z call_function, mul_1, aten.mul, (3.3, 4), {}
2022-11-23T02:04:38.5917999Z output, output, output, ((add, add_1, sub, sub_1, mul, mul_1),), {}
2022-11-23T02:04:38.5918025Z 
2022-11-23T02:04:38.5918475Z [2022-11-23 01:51:47,487] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5918595Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.5918737Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5918871Z               4 BUILD_MAP                0
2022-11-23T02:04:38.5919011Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.5919142Z               8 DICT_MERGE               1
2022-11-23T02:04:38.5919332Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.5919457Z              12 RETURN_VALUE
2022-11-23T02:04:38.5919476Z 
2022-11-23T02:04:38.5919575Z  
2022-11-23T02:04:38.5919996Z [2022-11-23 01:51:47,487] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5920159Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_47)
2022-11-23T02:04:38.5920296Z               2 CALL_FUNCTION            0
2022-11-23T02:04:38.5920451Z               4 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.5920603Z               6 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5920741Z               8 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5920860Z              10 BINARY_SUBSCR
2022-11-23T02:04:38.5920986Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5921125Z              14 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5921251Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.5921399Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5921533Z              20 LOAD_CONST               3 (2)
2022-11-23T02:04:38.5921650Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.5921799Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5921933Z              26 LOAD_CONST               4 (3)
2022-11-23T02:04:38.5922028Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.5922179Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5922314Z              32 LOAD_CONST               5 (4)
2022-11-23T02:04:38.5922433Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.5922593Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5922730Z              38 LOAD_CONST               6 (5)
2022-11-23T02:04:38.5922853Z              40 BINARY_SUBSCR
2022-11-23T02:04:38.5922964Z              42 BUILD_TUPLE              6
2022-11-23T02:04:38.5923084Z              44 RETURN_VALUE
2022-11-23T02:04:38.5923107Z 
2022-11-23T02:04:38.5923206Z  
2022-11-23T02:04:38.5923483Z [2022-11-23 01:51:47,488] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.5923599Z  - 
2022-11-23T02:04:38.5923775Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.5923879Z             {
2022-11-23T02:04:38.5924062Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.5924326Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.5924503Z                 'obj_weakref': None
2022-11-23T02:04:38.5924825Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.5925014Z             }
2022-11-23T02:04:38.5925116Z             
2022-11-23T02:04:38.5925235Z  - 
2022-11-23T02:04:38.5925403Z             local 'ex[0]' CONSTANT_MATCH
2022-11-23T02:04:38.5925512Z             {
2022-11-23T02:04:38.5925723Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:38.5925992Z                 'code': ['___check_type_id(ex[0], 93849050129792)', 'ex[0] == 4'],
2022-11-23T02:04:38.5926168Z                 'obj_weakref': None
2022-11-23T02:04:38.5926478Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:38.5926578Z             }
2022-11-23T02:04:38.5926654Z             
2022-11-23T02:04:38.5926770Z  - 
2022-11-23T02:04:38.5926959Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T02:04:38.5927124Z             {
2022-11-23T02:04:38.5927347Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:38.5927610Z                 'code': ['___check_type_id(ex[1], 93849050133536)', 'ex[1] == 3.3'],
2022-11-23T02:04:38.5927793Z                 'obj_weakref': None
2022-11-23T02:04:38.5928079Z                 'guarded_class': <weakref at 0x7fa6421d7510; to 'type' at 0x555aef4bb420 (float)>
2022-11-23T02:04:38.5928185Z             }
2022-11-23T02:04:38.5928285Z             
2022-11-23T02:04:38.5928539Z  - 
2022-11-23T02:04:38.5928743Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.5928844Z             {
2022-11-23T02:04:38.5929040Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.5929254Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.5929423Z                 'obj_weakref': None
2022-11-23T02:04:38.5929746Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.5929852Z             }
2022-11-23T02:04:38.5929952Z             
2022-11-23T02:04:38.5930063Z  - 
2022-11-23T02:04:38.5930240Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.5930323Z             {
2022-11-23T02:04:38.5930519Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.5930824Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.5930997Z                 'obj_weakref': None
2022-11-23T02:04:38.5931309Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.5931416Z             }
2022-11-23T02:04:38.5931519Z             
2022-11-23T02:04:38.5931607Z  - 
2022-11-23T02:04:38.5931795Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.5931900Z             {
2022-11-23T02:04:38.5932079Z                 'guard_types': None,
2022-11-23T02:04:38.5932240Z                 'code': None,
2022-11-23T02:04:38.5932415Z                 'obj_weakref': None
2022-11-23T02:04:38.5932568Z                 'guarded_class': None
2022-11-23T02:04:38.5932671Z             }
2022-11-23T02:04:38.5932773Z             
2022-11-23T02:04:38.5933135Z [2022-11-23 01:51:47,505] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 46
2022-11-23T02:04:38.5933645Z [2022-11-23 01:51:50,101] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dc/cdcffw6ibuvqyqttn5z6fbona4tlfzxg344nzv5rulpzccbtg335.py
2022-11-23T02:04:38.5934007Z [2022-11-23 01:51:50,101] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 46
2022-11-23T02:04:38.5934031Z 
2022-11-23T02:04:38.5934173Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.5934286Z import torch
2022-11-23T02:04:38.5934373Z import random
2022-11-23T02:04:38.5934543Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.5934716Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.5934737Z 
2022-11-23T02:04:38.5934860Z aten = torch.ops.aten
2022-11-23T02:04:38.5935054Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.5935193Z async_compile = AsyncCompile()
2022-11-23T02:04:38.5935297Z 
2022-11-23T02:04:38.5935315Z 
2022-11-23T02:04:38.5935519Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.5935806Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.5935954Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T02:04:38.5936679Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:38.5936928Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:38.5937158Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:38.5937390Z                        float* __restrict__ out_ptr4,
2022-11-23T02:04:38.5937623Z                        float* __restrict__ out_ptr5)
2022-11-23T02:04:38.5937777Z {
2022-11-23T02:04:38.5937905Z     {
2022-11-23T02:04:38.5938076Z         {
2022-11-23T02:04:38.5938288Z             auto tmp0 = static_cast<float>(4);
2022-11-23T02:04:38.5938447Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T02:04:38.5938576Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.5938705Z             out_ptr0[0] = tmp2;
2022-11-23T02:04:38.5938804Z         }
2022-11-23T02:04:38.5938878Z     }
2022-11-23T02:04:38.5938979Z     {
2022-11-23T02:04:38.5939078Z         {
2022-11-23T02:04:38.5939460Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T02:04:38.5939622Z             auto tmp1 = static_cast<float>(4);
2022-11-23T02:04:38.5939750Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.5939870Z             out_ptr1[0] = tmp2;
2022-11-23T02:04:38.5939947Z         }
2022-11-23T02:04:38.5940046Z     }
2022-11-23T02:04:38.5940140Z     {
2022-11-23T02:04:38.5940242Z         {
2022-11-23T02:04:38.5940389Z             auto tmp0 = static_cast<float>(4);
2022-11-23T02:04:38.5940542Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T02:04:38.5940762Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:38.5940859Z             out_ptr2[0] = tmp2;
2022-11-23T02:04:38.5940959Z         }
2022-11-23T02:04:38.5941057Z     }
2022-11-23T02:04:38.5941158Z     {
2022-11-23T02:04:38.5941259Z         {
2022-11-23T02:04:38.5941406Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T02:04:38.5941528Z             auto tmp1 = static_cast<float>(4);
2022-11-23T02:04:38.5941709Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:38.5941832Z             out_ptr3[0] = tmp2;
2022-11-23T02:04:38.5941935Z         }
2022-11-23T02:04:38.5942032Z     }
2022-11-23T02:04:38.5942130Z     {
2022-11-23T02:04:38.5942233Z         {
2022-11-23T02:04:38.5942355Z             auto tmp0 = static_cast<float>(4);
2022-11-23T02:04:38.5942503Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T02:04:38.5942630Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:38.5942750Z             out_ptr4[0] = tmp2;
2022-11-23T02:04:38.5942844Z         }
2022-11-23T02:04:38.5942949Z     }
2022-11-23T02:04:38.5943022Z     {
2022-11-23T02:04:38.5943120Z         {
2022-11-23T02:04:38.5943265Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T02:04:38.5943413Z             auto tmp1 = static_cast<float>(4);
2022-11-23T02:04:38.5943543Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:38.5943661Z             out_ptr5[0] = tmp2;
2022-11-23T02:04:38.5943756Z         }
2022-11-23T02:04:38.5943829Z     }
2022-11-23T02:04:38.5943925Z }
2022-11-23T02:04:38.5944054Z ''')
2022-11-23T02:04:38.5944077Z 
2022-11-23T02:04:38.5944096Z 
2022-11-23T02:04:38.5944231Z async_compile.wait(globals())
2022-11-23T02:04:38.5944345Z del async_compile
2022-11-23T02:04:38.5944364Z 
2022-11-23T02:04:38.5944477Z def call(args):
2022-11-23T02:04:38.5944746Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5945003Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5945227Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5945475Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5945718Z     buf4 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5946079Z     buf5 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.5946410Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T02:04:38.5946563Z     return (buf0, buf1, buf2, buf3, buf4, buf5, )
2022-11-23T02:04:38.5946583Z 
2022-11-23T02:04:38.5946602Z 
2022-11-23T02:04:38.5946721Z if __name__ == "__main__":
2022-11-23T02:04:38.5946887Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.5947043Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.5947192Z     print_performance(lambda: call([]))
2022-11-23T02:04:38.5947212Z 
2022-11-23T02:04:38.5947316Z ok (2.698s)
2022-11-23T02:04:38.5947728Z   test_cat_cpu (__main__.CpuTests) ... [2022-11-23 01:51:50,108] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.5948159Z [2022-11-23 01:51:50,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.5948461Z [2022-11-23 01:51:50,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.5948865Z [2022-11-23 01:51:50,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.5949254Z [2022-11-23 01:51:50,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.5949686Z [2022-11-23 01:51:50,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5950154Z [2022-11-23 01:51:50,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5950568Z [2022-11-23 01:51:50,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.5951085Z [2022-11-23 01:51:50,110] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9d840, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2553> 
2022-11-23T02:04:38.5951229Z  2554           0 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5951368Z                2 LOAD_CONST               1 (2)
2022-11-23T02:04:38.5951494Z                4 BINARY_MULTIPLY
2022-11-23T02:04:38.5951635Z                6 STORE_FAST               1 (tmp)
2022-11-23T02:04:38.5951654Z 
2022-11-23T02:04:38.5951796Z 2556           8 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5951935Z               10 LOAD_METHOD              1 (cat)
2022-11-23T02:04:38.5952046Z               12 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5952181Z               14 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5952316Z               16 LOAD_CONST               0 (None)
2022-11-23T02:04:38.5952459Z               18 LOAD_CONST               0 (None)
2022-11-23T02:04:38.5952595Z               20 BUILD_SLICE              2
2022-11-23T02:04:38.5952731Z               22 LOAD_CONST               0 (None)
2022-11-23T02:04:38.5952871Z               24 LOAD_CONST               2 (4)
2022-11-23T02:04:38.5952981Z               26 BUILD_SLICE              2
2022-11-23T02:04:38.5953122Z               28 BUILD_TUPLE              2
2022-11-23T02:04:38.5953243Z               30 BINARY_SUBSCR
2022-11-23T02:04:38.5953379Z               32 LOAD_CONST               3 (1)
2022-11-23T02:04:38.5953495Z               34 BINARY_ADD
2022-11-23T02:04:38.5953631Z               36 LOAD_FAST                0 (a)
2022-11-23T02:04:38.5953768Z               38 LOAD_CONST               1 (2)
2022-11-23T02:04:38.5953858Z               40 BINARY_ADD
2022-11-23T02:04:38.5953990Z               42 BUILD_TUPLE              3
2022-11-23T02:04:38.5954199Z               44 LOAD_CONST               4 (-1)
2022-11-23T02:04:38.5954400Z               46 CALL_METHOD              2
2022-11-23T02:04:38.5954420Z 
2022-11-23T02:04:38.5954560Z 2557          48 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5954696Z               50 LOAD_METHOD              1 (cat)
2022-11-23T02:04:38.5954837Z               52 LOAD_FAST                1 (tmp)
2022-11-23T02:04:38.5954973Z               54 LOAD_FAST                1 (tmp)
2022-11-23T02:04:38.5955082Z               56 BUILD_TUPLE              2
2022-11-23T02:04:38.5955217Z               58 LOAD_CONST               5 (0)
2022-11-23T02:04:38.5955348Z               60 CALL_METHOD              2
2022-11-23T02:04:38.5955367Z 
2022-11-23T02:04:38.5955506Z 2558          62 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.5955641Z               64 LOAD_METHOD              1 (cat)
2022-11-23T02:04:38.5955777Z               66 LOAD_FAST                1 (tmp)
2022-11-23T02:04:38.5955912Z               68 LOAD_FAST                1 (tmp)
2022-11-23T02:04:38.5956039Z               70 LOAD_METHOD              2 (double)
2022-11-23T02:04:38.5956172Z               72 CALL_METHOD              0
2022-11-23T02:04:38.5956302Z               74 BUILD_TUPLE              2
2022-11-23T02:04:38.5956435Z               76 LOAD_CONST               5 (0)
2022-11-23T02:04:38.5956620Z               78 CALL_METHOD              2
2022-11-23T02:04:38.5956640Z 
2022-11-23T02:04:38.5956777Z 2555          80 BUILD_TUPLE              3
2022-11-23T02:04:38.5956895Z               82 RETURN_VALUE
2022-11-23T02:04:38.5956996Z  
2022-11-23T02:04:38.5957015Z 
2022-11-23T02:04:38.5957439Z [2022-11-23 01:51:50,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2554
2022-11-23T02:04:38.5957732Z [2022-11-23 01:51:50,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:38.5958066Z [2022-11-23 01:51:50,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:38.5958475Z [2022-11-23 01:51:50,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5958813Z [2022-11-23 01:51:50,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T02:04:38.5959242Z [2022-11-23 01:51:50,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2556
2022-11-23T02:04:38.5959550Z [2022-11-23 01:51:50,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.5960038Z [2022-11-23 01:51:50,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5960468Z [2022-11-23 01:51:50,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5960933Z [2022-11-23 01:51:50,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5961427Z [2022-11-23 01:51:50,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5961994Z [2022-11-23 01:51:50,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:38.5962619Z [2022-11-23 01:51:50,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T02:04:38.5963167Z [2022-11-23 01:51:50,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T02:04:38.5963843Z [2022-11-23 01:51:50,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:38.5964497Z [2022-11-23 01:51:50,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T02:04:38.5965074Z [2022-11-23 01:51:50,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T02:04:38.5965633Z [2022-11-23 01:51:50,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T02:04:38.5966201Z [2022-11-23 01:51:50,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5966767Z [2022-11-23 01:51:50,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5967268Z [2022-11-23 01:51:50,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5967826Z [2022-11-23 01:51:50,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5968436Z [2022-11-23 01:51:50,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5968994Z [2022-11-23 01:51:50,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5969466Z [2022-11-23 01:51:50,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TupleVariable()]
2022-11-23T02:04:38.5969984Z [2022-11-23 01:51:50,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5970416Z [2022-11-23 01:51:50,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2557
2022-11-23T02:04:38.5970735Z [2022-11-23 01:51:50,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:38.5971267Z [2022-11-23 01:51:50,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5971750Z [2022-11-23 01:51:50,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5972256Z [2022-11-23 01:51:50,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5972811Z [2022-11-23 01:51:50,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5973413Z [2022-11-23 01:51:50,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TupleVariable()]
2022-11-23T02:04:38.5973981Z [2022-11-23 01:51:50,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5974409Z [2022-11-23 01:51:50,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2558
2022-11-23T02:04:38.5974781Z [2022-11-23 01:51:50,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5975349Z [2022-11-23 01:51:50,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.5975919Z [2022-11-23 01:51:50,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.5977337Z [2022-11-23 01:51:50,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.5978394Z [2022-11-23 01:51:50,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5979051Z [2022-11-23 01:51:50,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), GetAttrVariable(TensorVariable(), double)]
2022-11-23T02:04:38.5979651Z [2022-11-23 01:51:50,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5980168Z [2022-11-23 01:51:50,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TupleVariable()]
2022-11-23T02:04:38.5980767Z [2022-11-23 01:51:50,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.5981200Z [2022-11-23 01:51:50,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2555
2022-11-23T02:04:38.5981609Z [2022-11-23 01:51:50,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.5981947Z [2022-11-23 01:51:50,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.5982463Z [2022-11-23 01:51:50,133] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9d840, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2553>
2022-11-23T02:04:38.5982800Z [2022-11-23 01:51:50,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.5983124Z [2022-11-23 01:51:50,134] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.5983475Z [2022-11-23 01:51:50,136] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.5984082Z [2022-11-23 01:51:50,149] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.5984353Z [2022-11-23 01:51:50,150] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.5984582Z  __compiled_fn_48 <eval_with_key>.312 opcode, name, target, args, kwargs
2022-11-23T02:04:38.5984721Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.5984972Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T02:04:38.5985327Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(None, 4, None))), {}
2022-11-23T02:04:38.5985581Z call_function, add, <built-in function add>, (getitem, 1), {}
2022-11-23T02:04:38.5985824Z call_function, add_1, <built-in function add>, (ex_0_, 2), {}
2022-11-23T02:04:38.5986165Z call_function, cat, <built-in method cat of type object at 0x7fa5855aec60>, ((ex_0_, add, add_1), -1), {}
2022-11-23T02:04:38.5986492Z call_function, cat_1, <built-in method cat of type object at 0x7fa5855aec60>, ((mul, mul), 0), {}
2022-11-23T02:04:38.5986614Z call_method, double, double, (mul,), {}
2022-11-23T02:04:38.5987019Z call_function, cat_2, <built-in method cat of type object at 0x7fa5855aec60>, ((mul, double), 0), {}
2022-11-23T02:04:38.5987192Z output, output, output, ((cat, cat_1, cat_2),), {}
2022-11-23T02:04:38.5987219Z 
2022-11-23T02:04:38.5987668Z [2022-11-23 01:51:50,150] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5987813Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.5987955Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5988088Z               4 BUILD_MAP                0
2022-11-23T02:04:38.5988227Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.5988333Z               8 DICT_MERGE               1
2022-11-23T02:04:38.5988470Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.5988596Z              12 RETURN_VALUE
2022-11-23T02:04:38.5988616Z 
2022-11-23T02:04:38.5988714Z  
2022-11-23T02:04:38.5989158Z [2022-11-23 01:51:50,150] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.5989320Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_48)
2022-11-23T02:04:38.5989454Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.5989593Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5989690Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.5989825Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.5989977Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.5990126Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5990258Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.5990375Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.5990530Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5990640Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.5990759Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.5990906Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.5991046Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:38.5991165Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.5991300Z              30 BUILD_TUPLE              3
2022-11-23T02:04:38.5991416Z              32 RETURN_VALUE
2022-11-23T02:04:38.5991438Z 
2022-11-23T02:04:38.5991512Z  
2022-11-23T02:04:38.5991773Z [2022-11-23 01:51:50,152] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.5991889Z  - 
2022-11-23T02:04:38.5992067Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.5992169Z             {
2022-11-23T02:04:38.5992372Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.5992636Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.5992856Z                 'obj_weakref': None
2022-11-23T02:04:38.5993168Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.5993275Z             }
2022-11-23T02:04:38.5993379Z             
2022-11-23T02:04:38.5993491Z  - 
2022-11-23T02:04:38.5993676Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.5993778Z             {
2022-11-23T02:04:38.5993957Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.5994119Z                 'code': None,
2022-11-23T02:04:38.5994413Z                 'obj_weakref': <weakref at 0x7fa531fc16c0; to 'Tensor' at 0x7fa531fa74c0>
2022-11-23T02:04:38.5994762Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.5994862Z             }
2022-11-23T02:04:38.5994963Z             
2022-11-23T02:04:38.5995076Z  - 
2022-11-23T02:04:38.5995241Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.5995352Z             {
2022-11-23T02:04:38.5995548Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.5995784Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.5996007Z                 'obj_weakref': None
2022-11-23T02:04:38.5996332Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.5996444Z             }
2022-11-23T02:04:38.5996521Z             
2022-11-23T02:04:38.5996633Z  - 
2022-11-23T02:04:38.5996809Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.5996909Z             {
2022-11-23T02:04:38.5997104Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.5997403Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.5997580Z                 'obj_weakref': None
2022-11-23T02:04:38.5997861Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.5997971Z             }
2022-11-23T02:04:38.5998071Z             
2022-11-23T02:04:38.5998182Z  - 
2022-11-23T02:04:38.5998372Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.5998479Z             {
2022-11-23T02:04:38.5998657Z                 'guard_types': None,
2022-11-23T02:04:38.5998793Z                 'code': None,
2022-11-23T02:04:38.5998968Z                 'obj_weakref': None
2022-11-23T02:04:38.5999145Z                 'guarded_class': None
2022-11-23T02:04:38.5999246Z             }
2022-11-23T02:04:38.5999346Z             
2022-11-23T02:04:38.5999702Z [2022-11-23 01:51:50,172] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 47
2022-11-23T02:04:38.6000198Z [2022-11-23 01:51:52,894] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/os/cosvl2rqwy3ksbfwelsjdufvjfl334t7pis7p5rzvnn2ne5rmy4l.py
2022-11-23T02:04:38.6000557Z [2022-11-23 01:51:52,894] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 47
2022-11-23T02:04:38.6000585Z 
2022-11-23T02:04:38.6000704Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6000818Z import torch
2022-11-23T02:04:38.6000927Z import random
2022-11-23T02:04:38.6001100Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6001276Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6001295Z 
2022-11-23T02:04:38.6001417Z aten = torch.ops.aten
2022-11-23T02:04:38.6001605Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6001719Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6001763Z 
2022-11-23T02:04:38.6001781Z 
2022-11-23T02:04:38.6001954Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.6002236Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.6002413Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.6002562Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.6002779Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:38.6002924Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:38.6003068Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:38.6003188Z                        float* __restrict__ out_ptr4,
2022-11-23T02:04:38.6003338Z                        double* __restrict__ out_ptr5,
2022-11-23T02:04:38.6003483Z                        double* __restrict__ out_ptr6)
2022-11-23T02:04:38.6003579Z {
2022-11-23T02:04:38.6003728Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.6003827Z     {
2022-11-23T02:04:38.6003947Z         #pragma omp for 
2022-11-23T02:04:38.6004048Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.6004154Z         {
2022-11-23T02:04:38.6004283Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T02:04:38.6004380Z             {
2022-11-23T02:04:38.6004616Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (16*i0));
2022-11-23T02:04:38.6004822Z                 auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:38.6004955Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.6005088Z                 tmp0.store(out_ptr0 + (8*i1) + (36*i0));
2022-11-23T02:04:38.6005342Z                 tmp2.store(out_ptr1 + (8*i1) + (36*i0));
2022-11-23T02:04:38.6005448Z             }
2022-11-23T02:04:38.6005593Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:38.6005724Z             for(long i1=16; i1<16; i1+=1)
2022-11-23T02:04:38.6005828Z             {
2022-11-23T02:04:38.6005975Z                 auto tmp0 = in_ptr0[i1 + (16*i0)];
2022-11-23T02:04:38.6006098Z                 auto tmp1 = static_cast<float>(2);
2022-11-23T02:04:38.6006231Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.6006368Z                 out_ptr0[i1 + (36*i0)] = tmp0;
2022-11-23T02:04:38.6006504Z                 out_ptr1[i1 + (36*i0)] = tmp2;
2022-11-23T02:04:38.6006610Z             }
2022-11-23T02:04:38.6006716Z         }
2022-11-23T02:04:38.6006841Z         #pragma omp for 
2022-11-23T02:04:38.6006944Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.6007044Z         {
2022-11-23T02:04:38.6007171Z             #pragma GCC ivdep
2022-11-23T02:04:38.6007381Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:38.6007483Z             {
2022-11-23T02:04:38.6007590Z                 {
2022-11-23T02:04:38.6007691Z                     {
2022-11-23T02:04:38.6007821Z                         auto tmp0 = in_ptr0[i1 + (16*i0)];
2022-11-23T02:04:38.6007978Z                         auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:38.6008124Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.6008265Z                         out_ptr2[i1 + (36*i0)] = tmp2;
2022-11-23T02:04:38.6008372Z                     }
2022-11-23T02:04:38.6008473Z                 }
2022-11-23T02:04:38.6008575Z             }
2022-11-23T02:04:38.6008652Z         }
2022-11-23T02:04:38.6008773Z         #pragma omp for 
2022-11-23T02:04:38.6008904Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T02:04:38.6009004Z         {
2022-11-23T02:04:38.6009109Z             {
2022-11-23T02:04:38.6009208Z                 {
2022-11-23T02:04:38.6009347Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.6009481Z                     auto tmp1 = static_cast<float>(2);
2022-11-23T02:04:38.6009622Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:38.6009780Z                     auto tmp3 = static_cast<double>(tmp2);
2022-11-23T02:04:38.6009913Z                     out_ptr3[i0] = tmp2;
2022-11-23T02:04:38.6010048Z                     out_ptr4[i0] = tmp2;
2022-11-23T02:04:38.6010179Z                     out_ptr5[i0] = tmp3;
2022-11-23T02:04:38.6010307Z                     out_ptr6[i0] = tmp3;
2022-11-23T02:04:38.6010386Z                 }
2022-11-23T02:04:38.6010486Z             }
2022-11-23T02:04:38.6010585Z         }
2022-11-23T02:04:38.6010685Z     }
2022-11-23T02:04:38.6010778Z }
2022-11-23T02:04:38.6011002Z ''')
2022-11-23T02:04:38.6011023Z 
2022-11-23T02:04:38.6011041Z 
2022-11-23T02:04:38.6011180Z async_compile.wait(globals())
2022-11-23T02:04:38.6011270Z del async_compile
2022-11-23T02:04:38.6011289Z 
2022-11-23T02:04:38.6011404Z def call(args):
2022-11-23T02:04:38.6011523Z     arg0_1, = args
2022-11-23T02:04:38.6011635Z     args.clear()
2022-11-23T02:04:38.6011920Z     buf3 = empty_strided((8, 36), (36, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6012076Z     buf0 = as_strided(buf3, (8, 16), (36, 1))  # alias
2022-11-23T02:04:38.6012230Z     buf2 = as_strided(buf3, (8, 16), (36, 1), 20)  # alias
2022-11-23T02:04:38.6012356Z     buf1 = as_strided(buf3, (8, 4), (36, 1), 16)  # alias
2022-11-23T02:04:38.6012642Z     buf6 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6012787Z     buf4 = as_strided(buf6, (8, 16), (16, 1))  # alias
2022-11-23T02:04:38.6012940Z     buf5 = as_strided(buf6, (8, 16), (16, 1), 128)  # alias
2022-11-23T02:04:38.6013222Z     buf9 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:38.6013372Z     buf7 = as_strided(buf9, (8, 16), (16, 1))  # alias
2022-11-23T02:04:38.6013530Z     buf8 = as_strided(buf9, (8, 16), (16, 1), 128)  # alias
2022-11-23T02:04:38.6013983Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T02:04:38.6014078Z     del arg0_1
2022-11-23T02:04:38.6014203Z     return (buf3, buf6, buf9, )
2022-11-23T02:04:38.6014223Z 
2022-11-23T02:04:38.6014242Z 
2022-11-23T02:04:38.6014362Z if __name__ == "__main__":
2022-11-23T02:04:38.6014533Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6014714Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6014994Z     arg0_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6015162Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.6015181Z 
2022-11-23T02:04:38.6015290Z ok (2.793s)
2022-11-23T02:04:38.6015722Z   test_cat_extern_kernel_cpu (__main__.CpuTests) ... [2022-11-23 01:51:52,933] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6016702Z [2022-11-23 01:51:52,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6017256Z [2022-11-23 01:51:52,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6017866Z [2022-11-23 01:51:52,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.6018362Z [2022-11-23 01:51:52,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.6018801Z [2022-11-23 01:51:52,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6019278Z [2022-11-23 01:51:52,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6019720Z [2022-11-23 01:51:52,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6020234Z [2022-11-23 01:51:52,935] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9db00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2580> 
2022-11-23T02:04:38.6020381Z  2581           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.6020497Z                2 LOAD_METHOD              1 (mm)
2022-11-23T02:04:38.6020633Z                4 LOAD_FAST                1 (x2)
2022-11-23T02:04:38.6020774Z                6 LOAD_FAST                2 (x3)
2022-11-23T02:04:38.6021142Z                8 CALL_METHOD              2
2022-11-23T02:04:38.6021282Z               10 STORE_FAST               4 (x)
2022-11-23T02:04:38.6021303Z 
2022-11-23T02:04:38.6021446Z 2582          12 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.6021592Z               14 LOAD_METHOD              2 (narrow)
2022-11-23T02:04:38.6021732Z               16 LOAD_FAST                4 (x)
2022-11-23T02:04:38.6021845Z               18 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6021979Z               20 LOAD_CONST               2 (0)
2022-11-23T02:04:38.6022116Z               22 LOAD_CONST               3 (100)
2022-11-23T02:04:38.6022251Z               24 CALL_METHOD              4
2022-11-23T02:04:38.6022383Z               26 STORE_FAST               5 (s)
2022-11-23T02:04:38.6022403Z 
2022-11-23T02:04:38.6022545Z 2583          28 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.6022682Z               30 LOAD_METHOD              1 (mm)
2022-11-23T02:04:38.6022792Z               32 LOAD_FAST                5 (s)
2022-11-23T02:04:38.6022934Z               34 LOAD_FAST                3 (x4)
2022-11-23T02:04:38.6023067Z               36 CALL_METHOD              2
2022-11-23T02:04:38.6023195Z               38 STORE_FAST               4 (x)
2022-11-23T02:04:38.6023214Z 
2022-11-23T02:04:38.6023502Z 2584          40 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.6023653Z               42 LOAD_METHOD              3 (cat)
2022-11-23T02:04:38.6023787Z               44 LOAD_FAST                4 (x)
2022-11-23T02:04:38.6023922Z               46 LOAD_FAST                0 (x1)
2022-11-23T02:04:38.6024033Z               48 BUILD_TUPLE              2
2022-11-23T02:04:38.6024166Z               50 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6024299Z               52 CALL_METHOD              2
2022-11-23T02:04:38.6024433Z               54 STORE_FAST               6 (c)
2022-11-23T02:04:38.6024453Z 
2022-11-23T02:04:38.6024584Z 2585          56 LOAD_FAST                6 (c)
2022-11-23T02:04:38.6024723Z               58 BUILD_TUPLE              1
2022-11-23T02:04:38.6024847Z               60 RETURN_VALUE
2022-11-23T02:04:38.6024920Z  
2022-11-23T02:04:38.6024939Z 
2022-11-23T02:04:38.6025389Z [2022-11-23 01:51:52,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2581
2022-11-23T02:04:38.6025698Z [2022-11-23 01:51:52,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.6026245Z [2022-11-23 01:51:52,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.6026678Z [2022-11-23 01:51:52,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x2 [TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.6027146Z [2022-11-23 01:51:52,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x3 [TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.6027656Z [2022-11-23 01:51:52,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.6027994Z [2022-11-23 01:51:52,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T02:04:38.6028420Z [2022-11-23 01:51:52,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2582
2022-11-23T02:04:38.6028723Z [2022-11-23 01:51:52,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.6029217Z [2022-11-23 01:51:52,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.6029629Z [2022-11-23 01:51:52,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method narrow of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.6030180Z [2022-11-23 01:51:52,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method narrow of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.6030707Z [2022-11-23 01:51:52,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method narrow of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6031282Z [2022-11-23 01:51:52,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 100 [TorchVariable(<built-in method narrow of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.6031907Z [2022-11-23 01:51:52,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(<built-in method narrow of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.6032239Z [2022-11-23 01:51:52,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST s [TensorVariable()]
2022-11-23T02:04:38.6032716Z [2022-11-23 01:51:52,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2583
2022-11-23T02:04:38.6033028Z [2022-11-23 01:51:52,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.6033514Z [2022-11-23 01:51:52,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.6033940Z [2022-11-23 01:51:52,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST s [TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.6034400Z [2022-11-23 01:51:52,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x4 [TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.6034922Z [2022-11-23 01:51:52,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.6035256Z [2022-11-23 01:51:52,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T02:04:38.6035658Z [2022-11-23 01:51:52,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2584
2022-11-23T02:04:38.6035956Z [2022-11-23 01:51:52,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.6036444Z [2022-11-23 01:51:52,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.6036878Z [2022-11-23 01:51:52,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.6037349Z [2022-11-23 01:51:52,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x1 [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.6037863Z [2022-11-23 01:51:52,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.6038329Z [2022-11-23 01:51:52,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TupleVariable()]
2022-11-23T02:04:38.6038848Z [2022-11-23 01:51:52,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method cat of type object at 0x7fa5855aec60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6039175Z [2022-11-23 01:51:52,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T02:04:38.6039675Z [2022-11-23 01:51:52,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2585
2022-11-23T02:04:38.6039973Z [2022-11-23 01:51:52,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c []
2022-11-23T02:04:38.6040282Z [2022-11-23 01:51:52,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.6040627Z [2022-11-23 01:51:52,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6041145Z [2022-11-23 01:51:52,948] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9db00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2580>
2022-11-23T02:04:38.6041487Z [2022-11-23 01:51:52,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6041810Z [2022-11-23 01:51:52,948] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6042164Z [2022-11-23 01:51:52,950] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6042564Z [2022-11-23 01:51:52,959] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6042842Z [2022-11-23 01:51:52,959] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6043036Z  __compiled_fn_49 <eval_with_key>.318 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6043149Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6043284Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.6043415Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:38.6043545Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T02:04:38.6043858Z call_function, mm, <built-in method mm of type object at 0x7fa5855aec60>, (ex_1_, ex_2_), {}
2022-11-23T02:04:38.6044194Z call_function, narrow, <built-in method narrow of type object at 0x7fa5855aec60>, (mm, 1, 0, 100), {}
2022-11-23T02:04:38.6044521Z call_function, mm_1, <built-in method mm of type object at 0x7fa5855aec60>, (narrow, ex_3_), {}
2022-11-23T02:04:38.6044849Z call_function, cat, <built-in method cat of type object at 0x7fa5855aec60>, ((mm_1, ex_0_), 1), {}
2022-11-23T02:04:38.6044975Z output, output, output, ((cat,),), {}
2022-11-23T02:04:38.6045002Z 
2022-11-23T02:04:38.6045454Z [2022-11-23 01:51:52,960] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6045598Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6045735Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6045874Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6046014Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6046149Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6046281Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6046384Z              12 RETURN_VALUE
2022-11-23T02:04:38.6046403Z 
2022-11-23T02:04:38.6046509Z  
2022-11-23T02:04:38.6046963Z [2022-11-23 01:51:52,960] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6047128Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_49)
2022-11-23T02:04:38.6047264Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6047405Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6047528Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6047639Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6047775Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6047898Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.6048030Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6048162Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:38.6048356Z              18 BINARY_SUBSCR
2022-11-23T02:04:38.6048489Z              20 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6048596Z              22 LOAD_CONST               4 (3)
2022-11-23T02:04:38.6048718Z              24 BINARY_SUBSCR
2022-11-23T02:04:38.6048856Z              26 CALL_FUNCTION            4
2022-11-23T02:04:38.6049011Z              28 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.6049159Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6049294Z              32 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6049407Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.6049538Z              36 BUILD_TUPLE              1
2022-11-23T02:04:38.6049632Z              38 RETURN_VALUE
2022-11-23T02:04:38.6049651Z 
2022-11-23T02:04:38.6049747Z  
2022-11-23T02:04:38.6050014Z [2022-11-23 01:51:52,961] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6050126Z  - 
2022-11-23T02:04:38.6050307Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6050415Z             {
2022-11-23T02:04:38.6050621Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6050862Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 4'],
2022-11-23T02:04:38.6051038Z                 'obj_weakref': None
2022-11-23T02:04:38.6051414Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6051523Z             }
2022-11-23T02:04:38.6051626Z             
2022-11-23T02:04:38.6051748Z  - 
2022-11-23T02:04:38.6051931Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6052012Z             {
2022-11-23T02:04:38.6052218Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6052372Z                 'code': None,
2022-11-23T02:04:38.6052659Z                 'obj_weakref': <weakref at 0x7fa53214ee30; to 'Tensor' at 0x7fa53208a8e0>
2022-11-23T02:04:38.6053004Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6053109Z             }
2022-11-23T02:04:38.6053205Z             
2022-11-23T02:04:38.6053294Z  - 
2022-11-23T02:04:38.6053470Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.6053565Z             {
2022-11-23T02:04:38.6053771Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6053928Z                 'code': None,
2022-11-23T02:04:38.6054221Z                 'obj_weakref': <weakref at 0x7fa531fa7fb0; to 'Tensor' at 0x7fa532089800>
2022-11-23T02:04:38.6054567Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6054645Z             }
2022-11-23T02:04:38.6054737Z             
2022-11-23T02:04:38.6054841Z  - 
2022-11-23T02:04:38.6055018Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:38.6055113Z             {
2022-11-23T02:04:38.6055312Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6055466Z                 'code': None,
2022-11-23T02:04:38.6055739Z                 'obj_weakref': <weakref at 0x7fa531fc2660; to 'Tensor' at 0x7fa53222cdb0>
2022-11-23T02:04:38.6056635Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6056802Z             }
2022-11-23T02:04:38.6056961Z             
2022-11-23T02:04:38.6057159Z  - 
2022-11-23T02:04:38.6057460Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T02:04:38.6057609Z             {
2022-11-23T02:04:38.6057932Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6058176Z                 'code': None,
2022-11-23T02:04:38.6058605Z                 'obj_weakref': <weakref at 0x7fa531fc30b0; to 'Tensor' at 0x7fa6237e1440>
2022-11-23T02:04:38.6058956Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6059057Z             }
2022-11-23T02:04:38.6059156Z             
2022-11-23T02:04:38.6059263Z  - 
2022-11-23T02:04:38.6059633Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.6059731Z             {
2022-11-23T02:04:38.6059925Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6060157Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.6060331Z                 'obj_weakref': None
2022-11-23T02:04:38.6060645Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.6060744Z             }
2022-11-23T02:04:38.6060821Z             
2022-11-23T02:04:38.6060927Z  - 
2022-11-23T02:04:38.6061096Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6061192Z             {
2022-11-23T02:04:38.6061384Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6061675Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6061844Z                 'obj_weakref': None
2022-11-23T02:04:38.6062129Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6062231Z             }
2022-11-23T02:04:38.6062329Z             
2022-11-23T02:04:38.6062430Z  - 
2022-11-23T02:04:38.6062684Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.6062780Z             {
2022-11-23T02:04:38.6063027Z                 'guard_types': None,
2022-11-23T02:04:38.6063173Z                 'code': None,
2022-11-23T02:04:38.6063337Z                 'obj_weakref': None
2022-11-23T02:04:38.6063510Z                 'guarded_class': None
2022-11-23T02:04:38.6063606Z             }
2022-11-23T02:04:38.6063703Z             
2022-11-23T02:04:38.6064061Z [2022-11-23 01:51:52,976] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 48
2022-11-23T02:04:38.6064551Z [2022-11-23 01:51:55,552] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ij/cije5jgwi6cuqstdzh47l7cu52n7anhgqhuv3bviv2wsskkst35b.py
2022-11-23T02:04:38.6064890Z [2022-11-23 01:51:55,552] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 48
2022-11-23T02:04:38.6064945Z 
2022-11-23T02:04:38.6065066Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6065171Z import torch
2022-11-23T02:04:38.6065276Z import random
2022-11-23T02:04:38.6065445Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6065618Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6065638Z 
2022-11-23T02:04:38.6065763Z aten = torch.ops.aten
2022-11-23T02:04:38.6065952Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6066070Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6066090Z 
2022-11-23T02:04:38.6066124Z 
2022-11-23T02:04:38.6066299Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.6066575Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.6066746Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.6066895Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.6067000Z {
2022-11-23T02:04:38.6067147Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.6067248Z     {
2022-11-23T02:04:38.6067345Z         #pragma omp for 
2022-11-23T02:04:38.6067471Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T02:04:38.6067574Z         {
2022-11-23T02:04:38.6067705Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T02:04:38.6067808Z             {
2022-11-23T02:04:38.6068048Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (256*i0));
2022-11-23T02:04:38.6068202Z                 tmp0.store(out_ptr0 + (8*i1) + (512*i0));
2022-11-23T02:04:38.6068281Z             }
2022-11-23T02:04:38.6068420Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:38.6068555Z             for(long i1=256; i1<256; i1+=1)
2022-11-23T02:04:38.6068655Z             {
2022-11-23T02:04:38.6068801Z                 auto tmp0 = in_ptr0[i1 + (256*i0)];
2022-11-23T02:04:38.6068937Z                 out_ptr0[i1 + (512*i0)] = tmp0;
2022-11-23T02:04:38.6069115Z             }
2022-11-23T02:04:38.6069193Z         }
2022-11-23T02:04:38.6069291Z     }
2022-11-23T02:04:38.6069389Z }
2022-11-23T02:04:38.6069517Z ''')
2022-11-23T02:04:38.6069537Z 
2022-11-23T02:04:38.6069556Z 
2022-11-23T02:04:38.6069701Z async_compile.wait(globals())
2022-11-23T02:04:38.6069818Z del async_compile
2022-11-23T02:04:38.6069838Z 
2022-11-23T02:04:38.6069950Z def call(args):
2022-11-23T02:04:38.6070063Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T02:04:38.6070175Z     args.clear()
2022-11-23T02:04:38.6070463Z     buf0 = empty_strided((256, 1600), (1600, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6070601Z     aten.mm.out(arg1_1, arg2_1, out=buf0)
2022-11-23T02:04:38.6070706Z     del arg1_1
2022-11-23T02:04:38.6070813Z     del arg2_1
2022-11-23T02:04:38.6071093Z     buf3 = empty_strided((256, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6071228Z     buf1 = as_strided(buf3, (256, 256), (512, 1))  # alias
2022-11-23T02:04:38.6071405Z     aten.mm.out(as_strided(buf0, (256, 100), (1600, 1)), arg3_1, out=buf1)
2022-11-23T02:04:38.6071515Z     del arg3_1
2022-11-23T02:04:38.6071618Z     del buf0
2022-11-23T02:04:38.6071776Z     buf2 = as_strided(buf3, (256, 256), (512, 1), 256)  # alias
2022-11-23T02:04:38.6072068Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:38.6072187Z     del arg0_1
2022-11-23T02:04:38.6072276Z     return (buf3, )
2022-11-23T02:04:38.6072296Z 
2022-11-23T02:04:38.6072315Z 
2022-11-23T02:04:38.6072436Z if __name__ == "__main__":
2022-11-23T02:04:38.6072601Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6072782Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6073068Z     arg0_1 = rand_strided((256, 256), (256, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6073358Z     arg1_1 = rand_strided((256, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6073646Z     arg2_1 = rand_strided((1024, 1600), (1600, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6073926Z     arg3_1 = rand_strided((100, 256), (256, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6074089Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T02:04:38.6074139Z 
2022-11-23T02:04:38.6074223Z ok (2.663s)
2022-11-23T02:04:38.6074653Z   test_cat_upcasting_cpu (__main__.CpuTests) ... [2022-11-23 01:51:55,566] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6075082Z [2022-11-23 01:51:55,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6075392Z [2022-11-23 01:51:55,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6075739Z [2022-11-23 01:51:55,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.6076115Z [2022-11-23 01:51:55,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.6076552Z [2022-11-23 01:51:55,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6077024Z [2022-11-23 01:51:55,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6077458Z [2022-11-23 01:51:55,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6077944Z [2022-11-23 01:51:55,567] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9d9a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2567> 
2022-11-23T02:04:38.6078086Z  2568           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.6078221Z                2 LOAD_ATTR                1 (cat)
2022-11-23T02:04:38.6078433Z                4 LOAD_METHOD              2 (default)
2022-11-23T02:04:38.6078573Z                6 LOAD_FAST                0 (arg4_1)
2022-11-23T02:04:38.6078713Z                8 LOAD_FAST                1 (slice_7)
2022-11-23T02:04:38.6078851Z               10 BUILD_LIST               2
2022-11-23T02:04:38.6078990Z               12 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6079100Z               14 CALL_METHOD              2
2022-11-23T02:04:38.6079239Z               16 STORE_FAST               2 (cat_1)
2022-11-23T02:04:38.6079260Z 
2022-11-23T02:04:38.6079398Z 2569          18 LOAD_FAST                2 (cat_1)
2022-11-23T02:04:38.6079536Z               20 BUILD_TUPLE              1
2022-11-23T02:04:38.6079654Z               22 RETURN_VALUE
2022-11-23T02:04:38.6079754Z  
2022-11-23T02:04:38.6079774Z 
2022-11-23T02:04:38.6080207Z [2022-11-23 01:51:55,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2568
2022-11-23T02:04:38.6080514Z [2022-11-23 01:51:55,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.6080957Z [2022-11-23 01:51:55,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.6081328Z [2022-11-23 01:51:55,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.cat)]
2022-11-23T02:04:38.6081699Z [2022-11-23 01:51:55,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg4_1 [TorchVariable(aten.cat.default)]
2022-11-23T02:04:38.6082104Z [2022-11-23 01:51:55,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_7 [TorchVariable(aten.cat.default), TensorVariable()]
2022-11-23T02:04:38.6082543Z [2022-11-23 01:51:55,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.cat.default), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.6082940Z [2022-11-23 01:51:55,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.cat.default), ListVariable()]
2022-11-23T02:04:38.6083389Z [2022-11-23 01:51:55,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.cat.default), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6083727Z [2022-11-23 01:51:55,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST cat_1 [TensorVariable()]
2022-11-23T02:04:38.6084156Z [2022-11-23 01:51:55,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2569
2022-11-23T02:04:38.6084544Z [2022-11-23 01:51:55,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST cat_1 []
2022-11-23T02:04:38.6084856Z [2022-11-23 01:51:55,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.6085202Z [2022-11-23 01:51:55,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6085723Z [2022-11-23 01:51:55,579] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9d9a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2567>
2022-11-23T02:04:38.6086060Z [2022-11-23 01:51:55,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6086384Z [2022-11-23 01:51:55,579] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6086735Z [2022-11-23 01:51:55,581] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6087081Z [2022-11-23 01:51:55,586] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6087349Z [2022-11-23 01:51:55,587] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6087548Z  __compiled_fn_50 <eval_with_key>.324 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6087803Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6087937Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.6088128Z call_function, cat_default, aten.cat.default, ([ex_0_, ex_1_], 1), {}
2022-11-23T02:04:38.6088292Z output, output, output, ((cat_default,),), {}
2022-11-23T02:04:38.6088317Z 
2022-11-23T02:04:38.6088774Z [2022-11-23 01:51:55,587] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6088917Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6089057Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6089196Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6089319Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6089450Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6089586Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6089707Z              12 RETURN_VALUE
2022-11-23T02:04:38.6089731Z 
2022-11-23T02:04:38.6089831Z  
2022-11-23T02:04:38.6090270Z [2022-11-23 01:51:55,587] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6090504Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_50)
2022-11-23T02:04:38.6090646Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6090757Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6090876Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6091014Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6091149Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6091268Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.6091401Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.6091556Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.6091685Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6091821Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6091946Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.6092077Z              24 BUILD_TUPLE              1
2022-11-23T02:04:38.6092194Z              26 RETURN_VALUE
2022-11-23T02:04:38.6092214Z 
2022-11-23T02:04:38.6092312Z  
2022-11-23T02:04:38.6092583Z [2022-11-23 01:51:55,589] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6092673Z  - 
2022-11-23T02:04:38.6092847Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6092956Z             {
2022-11-23T02:04:38.6093157Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6093421Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.6093594Z                 'obj_weakref': None
2022-11-23T02:04:38.6093910Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6093990Z             }
2022-11-23T02:04:38.6094095Z             
2022-11-23T02:04:38.6094213Z  - 
2022-11-23T02:04:38.6094390Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6094490Z             {
2022-11-23T02:04:38.6094691Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6094845Z                 'code': None,
2022-11-23T02:04:38.6095122Z                 'obj_weakref': <weakref at 0x7fa531fee110; to 'Tensor' at 0x7fa5322fa610>
2022-11-23T02:04:38.6095471Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6095568Z             }
2022-11-23T02:04:38.6095664Z             
2022-11-23T02:04:38.6095773Z  - 
2022-11-23T02:04:38.6095954Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.6096772Z             {
2022-11-23T02:04:38.6097139Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6097397Z                 'code': None,
2022-11-23T02:04:38.6097893Z                 'obj_weakref': <weakref at 0x7fa531fef2e0; to 'Tensor' at 0x7fa531fa4e00>
2022-11-23T02:04:38.6098548Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6098646Z             }
2022-11-23T02:04:38.6098743Z             
2022-11-23T02:04:38.6098849Z  - 
2022-11-23T02:04:38.6099017Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.6099116Z             {
2022-11-23T02:04:38.6099302Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6099537Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.6099707Z                 'obj_weakref': None
2022-11-23T02:04:38.6100022Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.6100120Z             }
2022-11-23T02:04:38.6100198Z             
2022-11-23T02:04:38.6100307Z  - 
2022-11-23T02:04:38.6100482Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6100578Z             {
2022-11-23T02:04:38.6100770Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6101068Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6101238Z                 'obj_weakref': None
2022-11-23T02:04:38.6101610Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6101717Z             }
2022-11-23T02:04:38.6101811Z             
2022-11-23T02:04:38.6101917Z  - 
2022-11-23T02:04:38.6102101Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.6102200Z             {
2022-11-23T02:04:38.6102367Z                 'guard_types': None,
2022-11-23T02:04:38.6102501Z                 'code': None,
2022-11-23T02:04:38.6102670Z                 'obj_weakref': None
2022-11-23T02:04:38.6102838Z                 'guarded_class': None
2022-11-23T02:04:38.6102933Z             }
2022-11-23T02:04:38.6103030Z             
2022-11-23T02:04:38.6103384Z [2022-11-23 01:51:55,598] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 49
2022-11-23T02:04:38.6103887Z [2022-11-23 01:51:58,253] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kk/ckkiupf2ds4chaoegx7nubmadabvaev3haot7onrocptl23y34a5.py
2022-11-23T02:04:38.6104247Z [2022-11-23 01:51:58,254] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 49
2022-11-23T02:04:38.6104269Z 
2022-11-23T02:04:38.6104387Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6104495Z import torch
2022-11-23T02:04:38.6104605Z import random
2022-11-23T02:04:38.6104770Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6104944Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6104964Z 
2022-11-23T02:04:38.6105080Z aten = torch.ops.aten
2022-11-23T02:04:38.6105265Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6105380Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6105420Z 
2022-11-23T02:04:38.6105440Z 
2022-11-23T02:04:38.6105613Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.6105906Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.6106073Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.6106227Z                        const half* __restrict__ in_ptr1,
2022-11-23T02:04:38.6106371Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.6106512Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:38.6106606Z {
2022-11-23T02:04:38.6106728Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.6106823Z     {
2022-11-23T02:04:38.6106939Z         #pragma omp for 
2022-11-23T02:04:38.6107061Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.6107155Z         {
2022-11-23T02:04:38.6107277Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T02:04:38.6107378Z             {
2022-11-23T02:04:38.6107590Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (16*i0));
2022-11-23T02:04:38.6107812Z                 tmp0.store(out_ptr0 + (8*i1) + (36*i0));
2022-11-23T02:04:38.6107909Z             }
2022-11-23T02:04:38.6108045Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:38.6108172Z             for(long i1=16; i1<16; i1+=1)
2022-11-23T02:04:38.6108269Z             {
2022-11-23T02:04:38.6108416Z                 auto tmp0 = in_ptr0[i1 + (16*i0)];
2022-11-23T02:04:38.6108531Z                 out_ptr0[i1 + (36*i0)] = tmp0;
2022-11-23T02:04:38.6108627Z             }
2022-11-23T02:04:38.6108722Z         }
2022-11-23T02:04:38.6108837Z         #pragma omp for 
2022-11-23T02:04:38.6108957Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.6109053Z         {
2022-11-23T02:04:38.6109173Z             #pragma GCC ivdep
2022-11-23T02:04:38.6109279Z             for(long i1=0; i1<20; i1+=1)
2022-11-23T02:04:38.6109374Z             {
2022-11-23T02:04:38.6109471Z                 {
2022-11-23T02:04:38.6109571Z                     {
2022-11-23T02:04:38.6109746Z                         auto tmp0 = static_cast<float>(in_ptr1[i1 + (20*i0)]);
2022-11-23T02:04:38.6109912Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:38.6110048Z                         out_ptr1[i1 + (36*i0)] = tmp1;
2022-11-23T02:04:38.6110131Z                     }
2022-11-23T02:04:38.6110286Z                 }
2022-11-23T02:04:38.6110390Z             }
2022-11-23T02:04:38.6110489Z         }
2022-11-23T02:04:38.6110583Z     }
2022-11-23T02:04:38.6110675Z }
2022-11-23T02:04:38.6110783Z ''')
2022-11-23T02:04:38.6110802Z 
2022-11-23T02:04:38.6110842Z 
2022-11-23T02:04:38.6110955Z async_compile.wait(globals())
2022-11-23T02:04:38.6111063Z del async_compile
2022-11-23T02:04:38.6111082Z 
2022-11-23T02:04:38.6111188Z def call(args):
2022-11-23T02:04:38.6111302Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.6111413Z     args.clear()
2022-11-23T02:04:38.6111690Z     buf2 = empty_strided((8, 36), (36, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6111839Z     buf0 = as_strided(buf2, (8, 16), (36, 1))  # alias
2022-11-23T02:04:38.6111973Z     buf1 = as_strided(buf2, (8, 20), (36, 1), 16)  # alias
2022-11-23T02:04:38.6112239Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.6112343Z     del arg0_1
2022-11-23T02:04:38.6112453Z     del arg1_1
2022-11-23T02:04:38.6112565Z     return (buf2, )
2022-11-23T02:04:38.6112584Z 
2022-11-23T02:04:38.6112602Z 
2022-11-23T02:04:38.6112713Z if __name__ == "__main__":
2022-11-23T02:04:38.6112876Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6113048Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6113304Z     arg0_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6113576Z     arg1_1 = rand_strided((8, 20), (20, 1), device='cpu', dtype=torch.float16)
2022-11-23T02:04:38.6113742Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.6113761Z 
2022-11-23T02:04:38.6113866Z ok (2.696s)
2022-11-23T02:04:38.6114276Z   test_cauchy_cpu (__main__.CpuTests) ... [2022-11-23 01:51:58,261] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6114704Z [2022-11-23 01:51:58,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6115007Z [2022-11-23 01:51:58,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6115352Z [2022-11-23 01:51:58,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.6115712Z [2022-11-23 01:51:58,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.6116147Z [2022-11-23 01:51:58,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6116609Z [2022-11-23 01:51:58,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6117109Z [2022-11-23 01:51:58,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6117614Z [2022-11-23 01:51:58,263] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9c0e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2357> 
2022-11-23T02:04:38.6117757Z  2358           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.6117891Z                2 LOAD_METHOD              1 (sum)
2022-11-23T02:04:38.6118028Z                4 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6118166Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.6118292Z                8 LOAD_METHOD              2 (unsqueeze)
2022-11-23T02:04:38.6118427Z               10 LOAD_FAST                0 (x)
2022-11-23T02:04:38.6118630Z               12 LOAD_CONST               2 (-1)
2022-11-23T02:04:38.6118759Z               14 CALL_METHOD              2
2022-11-23T02:04:38.6118890Z               16 LOAD_FAST                1 (y)
2022-11-23T02:04:38.6119008Z               18 BINARY_SUBTRACT
2022-11-23T02:04:38.6119186Z               20 BINARY_TRUE_DIVIDE
2022-11-23T02:04:38.6119320Z               22 CALL_METHOD              1
2022-11-23T02:04:38.6119414Z               24 RETURN_VALUE
2022-11-23T02:04:38.6119509Z  
2022-11-23T02:04:38.6119528Z 
2022-11-23T02:04:38.6119954Z [2022-11-23 01:51:58,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2358
2022-11-23T02:04:38.6120260Z [2022-11-23 01:51:58,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.6120752Z [2022-11-23 01:51:58,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.6121183Z [2022-11-23 01:51:58,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.6121676Z [2022-11-23 01:51:58,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), ConstantVariable(int)]
2022-11-23T02:04:38.6122366Z [2022-11-23 01:51:58,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.6122998Z [2022-11-23 01:51:58,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), ConstantVariable(int), TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.6123675Z [2022-11-23 01:51:58,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), ConstantVariable(int), TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.6124397Z [2022-11-23 01:51:58,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), ConstantVariable(int), TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6124906Z [2022-11-23 01:51:58,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:38.6125475Z [2022-11-23 01:51:58,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.6126083Z [2022-11-23 01:51:58,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:38.6126558Z [2022-11-23 01:51:58,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.6126896Z [2022-11-23 01:51:58,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.6127411Z [2022-11-23 01:51:58,272] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9c0e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2357>
2022-11-23T02:04:38.6127751Z [2022-11-23 01:51:58,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.6128079Z [2022-11-23 01:51:58,272] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6128496Z [2022-11-23 01:51:58,274] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6128843Z [2022-11-23 01:51:58,282] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6129102Z [2022-11-23 01:51:58,282] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6129292Z  __compiled_fn_51 <eval_with_key>.330 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6129404Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6129532Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.6129868Z call_function, unsqueeze, <built-in method unsqueeze of type object at 0x7fa5855aec60>, (ex_0_, -1), {}
2022-11-23T02:04:38.6130122Z call_function, sub, <built-in function sub>, (unsqueeze, ex_1_), {}
2022-11-23T02:04:38.6130376Z call_function, truediv, <built-in function truediv>, (1, sub), {}
2022-11-23T02:04:38.6130815Z call_function, sum_1, <built-in method sum of type object at 0x7fa5855aec60>, (truediv,), {}
2022-11-23T02:04:38.6130953Z output, output, output, ((sum_1,),), {}
2022-11-23T02:04:38.6130976Z 
2022-11-23T02:04:38.6131416Z [2022-11-23 01:51:58,283] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6131537Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6131672Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6131800Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6131941Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6132066Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6132195Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6132313Z              12 RETURN_VALUE
2022-11-23T02:04:38.6132337Z 
2022-11-23T02:04:38.6132433Z  
2022-11-23T02:04:38.6132849Z [2022-11-23 01:51:58,283] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6133009Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_51)
2022-11-23T02:04:38.6133140Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6133272Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6133388Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6133521Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6133651Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6133743Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.6133874Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.6134011Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.6134125Z              18 RETURN_VALUE
2022-11-23T02:04:38.6134145Z 
2022-11-23T02:04:38.6134238Z  
2022-11-23T02:04:38.6134581Z [2022-11-23 01:51:58,284] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6134691Z  - 
2022-11-23T02:04:38.6134839Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6134939Z             {
2022-11-23T02:04:38.6135137Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6135401Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.6135571Z                 'obj_weakref': None
2022-11-23T02:04:38.6135885Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6135986Z             }
2022-11-23T02:04:38.6136634Z             
2022-11-23T02:04:38.6136840Z  - 
2022-11-23T02:04:38.6137134Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6137284Z             {
2022-11-23T02:04:38.6137619Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6137863Z                 'code': None,
2022-11-23T02:04:38.6138350Z                 'obj_weakref': <weakref at 0x7fa532026110; to 'Tensor' at 0x7fa53218cb30>
2022-11-23T02:04:38.6138709Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6138807Z             }
2022-11-23T02:04:38.6138902Z             
2022-11-23T02:04:38.6139209Z  - 
2022-11-23T02:04:38.6139397Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.6139492Z             {
2022-11-23T02:04:38.6139694Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6139827Z                 'code': None,
2022-11-23T02:04:38.6140110Z                 'obj_weakref': <weakref at 0x7fa532044630; to 'Tensor' at 0x7fa53208a8e0>
2022-11-23T02:04:38.6140451Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6140547Z             }
2022-11-23T02:04:38.6140643Z             
2022-11-23T02:04:38.6140748Z  - 
2022-11-23T02:04:38.6140934Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.6141016Z             {
2022-11-23T02:04:38.6141203Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6141440Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.6141608Z                 'obj_weakref': None
2022-11-23T02:04:38.6141924Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.6142023Z             }
2022-11-23T02:04:38.6142119Z             
2022-11-23T02:04:38.6142207Z  - 
2022-11-23T02:04:38.6142377Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6142473Z             {
2022-11-23T02:04:38.6142668Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6142964Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6143133Z                 'obj_weakref': None
2022-11-23T02:04:38.6143437Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6143540Z             }
2022-11-23T02:04:38.6143617Z             
2022-11-23T02:04:38.6143724Z  - 
2022-11-23T02:04:38.6143909Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.6144007Z             {
2022-11-23T02:04:38.6144179Z                 'guard_types': None,
2022-11-23T02:04:38.6144398Z                 'code': None,
2022-11-23T02:04:38.6144548Z                 'obj_weakref': None
2022-11-23T02:04:38.6144718Z                 'guarded_class': None
2022-11-23T02:04:38.6144817Z             }
2022-11-23T02:04:38.6144913Z             
2022-11-23T02:04:38.6145265Z [2022-11-23 01:51:58,298] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 50
2022-11-23T02:04:38.6145759Z [2022-11-23 01:52:00,919] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ny/cny6vpdxss7pkyfbymm2ibz4z4jgujeusdqhgfuh3burf5a6snx3.py
2022-11-23T02:04:38.6146118Z [2022-11-23 01:52:00,920] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 50
2022-11-23T02:04:38.6146252Z 
2022-11-23T02:04:38.6146396Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6146481Z import torch
2022-11-23T02:04:38.6146588Z import random
2022-11-23T02:04:38.6146751Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6146925Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6146946Z 
2022-11-23T02:04:38.6147063Z aten = torch.ops.aten
2022-11-23T02:04:38.6147253Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6147388Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6147408Z 
2022-11-23T02:04:38.6147427Z 
2022-11-23T02:04:38.6147619Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.6147877Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.6148046Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.6148198Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.6148345Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.6148439Z {
2022-11-23T02:04:38.6148533Z     {
2022-11-23T02:04:38.6148629Z         {
2022-11-23T02:04:38.6148726Z             float tmp6 = 0;
2022-11-23T02:04:38.6148955Z             #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.6149063Z             {
2022-11-23T02:04:38.6149214Z                 #pragma omp for reduction(+:tmp6) 
2022-11-23T02:04:38.6149350Z                 for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:38.6149448Z                 {
2022-11-23T02:04:38.6149582Z                     for(long i1=0; i1<32; i1+=1)
2022-11-23T02:04:38.6149665Z                     {
2022-11-23T02:04:38.6149767Z                         {
2022-11-23T02:04:38.6149904Z                             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.6150041Z                             auto tmp1 = in_ptr1[i1];
2022-11-23T02:04:38.6150242Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:38.6150372Z                             auto tmp3 = 1 / tmp2;
2022-11-23T02:04:38.6150531Z                             auto tmp4 = static_cast<float>(1);
2022-11-23T02:04:38.6150651Z                             auto tmp5 = tmp3 * tmp4;
2022-11-23T02:04:38.6150774Z                             tmp6 += tmp5;
2022-11-23T02:04:38.6150884Z                         }
2022-11-23T02:04:38.6150985Z                     }
2022-11-23T02:04:38.6151082Z                 }
2022-11-23T02:04:38.6151177Z             }
2022-11-23T02:04:38.6151293Z             out_ptr0[0] = tmp6;
2022-11-23T02:04:38.6151370Z         }
2022-11-23T02:04:38.6151463Z     }
2022-11-23T02:04:38.6151555Z }
2022-11-23T02:04:38.6151675Z ''')
2022-11-23T02:04:38.6151696Z 
2022-11-23T02:04:38.6151714Z 
2022-11-23T02:04:38.6151848Z async_compile.wait(globals())
2022-11-23T02:04:38.6151957Z del async_compile
2022-11-23T02:04:38.6151976Z 
2022-11-23T02:04:38.6152081Z def call(args):
2022-11-23T02:04:38.6152174Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.6152284Z     args.clear()
2022-11-23T02:04:38.6152546Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6152773Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.6152875Z     del arg0_1
2022-11-23T02:04:38.6152982Z     del arg1_1
2022-11-23T02:04:38.6153088Z     return (buf0, )
2022-11-23T02:04:38.6153108Z 
2022-11-23T02:04:38.6153126Z 
2022-11-23T02:04:38.6153238Z if __name__ == "__main__":
2022-11-23T02:04:38.6153382Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6153554Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6153827Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6154092Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6154255Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.6154275Z 
2022-11-23T02:04:38.6154376Z ok (2.665s)
2022-11-23T02:04:38.6154854Z   test_clamp_cpu (__main__.CpuTests) ... [2022-11-23 01:52:00,927] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6155284Z [2022-11-23 01:52:00,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6155563Z [2022-11-23 01:52:00,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6155903Z [2022-11-23 01:52:00,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.6156277Z [2022-11-23 01:52:00,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.6156704Z [2022-11-23 01:52:00,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6157168Z [2022-11-23 01:52:00,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6157604Z [2022-11-23 01:52:00,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6158151Z [2022-11-23 01:52:00,928] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115a970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 872> 
2022-11-23T02:04:38.6158294Z  873           0 LOAD_FAST                0 (a)
2022-11-23T02:04:38.6158432Z               2 LOAD_METHOD              0 (clamp)
2022-11-23T02:04:38.6158611Z               4 LOAD_CONST               1 (-0.1)
2022-11-23T02:04:38.6158744Z               6 LOAD_CONST               2 (0.1)
2022-11-23T02:04:38.6158870Z               8 CALL_METHOD              2
2022-11-23T02:04:38.6159001Z              10 LOAD_FAST                1 (b)
2022-11-23T02:04:38.6159135Z              12 LOAD_METHOD              0 (clamp)
2022-11-23T02:04:38.6159270Z              14 LOAD_CONST               3 (0)
2022-11-23T02:04:38.6159396Z              16 CALL_METHOD              1
2022-11-23T02:04:38.6159526Z              18 LOAD_GLOBAL              1 (torch)
2022-11-23T02:04:38.6159643Z              20 LOAD_ATTR                0 (clamp)
2022-11-23T02:04:38.6159769Z              22 LOAD_FAST                0 (a)
2022-11-23T02:04:38.6159896Z              24 LOAD_FAST                1 (b)
2022-11-23T02:04:38.6160002Z              26 BINARY_ADD
2022-11-23T02:04:38.6160132Z              28 LOAD_CONST               3 (0)
2022-11-23T02:04:38.6160337Z              30 LOAD_CONST               4 (('max',))
2022-11-23T02:04:38.6160472Z              32 CALL_FUNCTION_KW         2
2022-11-23T02:04:38.6160582Z              34 BUILD_TUPLE              3
2022-11-23T02:04:38.6160695Z              36 RETURN_VALUE
2022-11-23T02:04:38.6160787Z  
2022-11-23T02:04:38.6160808Z 
2022-11-23T02:04:38.6161229Z [2022-11-23 01:52:00,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:873
2022-11-23T02:04:38.6161520Z [2022-11-23 01:52:00,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:38.6161856Z [2022-11-23 01:52:00,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable()]
2022-11-23T02:04:38.6162237Z [2022-11-23 01:52:00,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -0.1 [GetAttrVariable(TensorVariable(), clamp)]
2022-11-23T02:04:38.6162661Z [2022-11-23 01:52:00,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.1 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(float)]
2022-11-23T02:04:38.6163146Z [2022-11-23 01:52:00,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T02:04:38.6163451Z [2022-11-23 01:52:00,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:38.6163883Z [2022-11-23 01:52:00,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.6164301Z [2022-11-23 01:52:00,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), GetAttrVariable(TensorVariable(), clamp)]
2022-11-23T02:04:38.6164766Z [2022-11-23 01:52:00,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), clamp), ConstantVariable(int)]
2022-11-23T02:04:38.6165134Z [2022-11-23 01:52:00,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.6165704Z [2022-11-23 01:52:00,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.6166204Z [2022-11-23 01:52:00,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:38.6166819Z [2022-11-23 01:52:00,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.6167409Z [2022-11-23 01:52:00,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.6168007Z [2022-11-23 01:52:00,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:38.6168614Z [2022-11-23 01:52:00,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('max',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6169323Z [2022-11-23 01:52:00,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T02:04:38.6169754Z [2022-11-23 01:52:00,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.6170097Z [2022-11-23 01:52:00,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6170635Z [2022-11-23 01:52:00,943] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115a970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 872>
2022-11-23T02:04:38.6171000Z [2022-11-23 01:52:00,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6171346Z [2022-11-23 01:52:00,943] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6171703Z [2022-11-23 01:52:00,946] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6172047Z [2022-11-23 01:52:00,956] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6172310Z [2022-11-23 01:52:00,957] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6172503Z  __compiled_fn_52 <eval_with_key>.336 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6172635Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6172745Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.6172961Z call_method, clamp, clamp, (ex_0_, -0.1, 0.1), {}
2022-11-23T02:04:38.6173110Z call_method, clamp_1, clamp, (ex_1_, 0), {}
2022-11-23T02:04:38.6173495Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.6173823Z call_function, clamp_2, <built-in method clamp of type object at 0x7fa5855aec60>, (add,), {'max': 0}
2022-11-23T02:04:38.6173995Z output, output, output, ((clamp, clamp_1, clamp_2),), {}
2022-11-23T02:04:38.6174021Z 
2022-11-23T02:04:38.6174467Z [2022-11-23 01:52:00,958] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6174605Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6174725Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6174855Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6174990Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6175117Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6175242Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6175360Z              12 RETURN_VALUE
2022-11-23T02:04:38.6175385Z 
2022-11-23T02:04:38.6175483Z  
2022-11-23T02:04:38.6175924Z [2022-11-23 01:52:00,958] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6176810Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_52)
2022-11-23T02:04:38.6177065Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6177275Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6177451Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6177655Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6177858Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6178038Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.6178214Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.6178418Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.6178570Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6178709Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6178824Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.6178969Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6179095Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6179194Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.6179341Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6179471Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:38.6179586Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.6179714Z              36 BUILD_TUPLE              3
2022-11-23T02:04:38.6179830Z              38 RETURN_VALUE
2022-11-23T02:04:38.6179850Z 
2022-11-23T02:04:38.6179942Z  
2022-11-23T02:04:38.6180234Z [2022-11-23 01:52:00,959] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6180324Z  - 
2022-11-23T02:04:38.6180493Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6180589Z             {
2022-11-23T02:04:38.6180792Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6181052Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.6181222Z                 'obj_weakref': None
2022-11-23T02:04:38.6181538Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6181618Z             }
2022-11-23T02:04:38.6181715Z             
2022-11-23T02:04:38.6181823Z  - 
2022-11-23T02:04:38.6181998Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6182091Z             {
2022-11-23T02:04:38.6182293Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6182429Z                 'code': None,
2022-11-23T02:04:38.6182718Z                 'obj_weakref': <weakref at 0x7fa531e6c860; to 'Tensor' at 0x7fa5320f5850>
2022-11-23T02:04:38.6183061Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6183157Z             }
2022-11-23T02:04:38.6183372Z             
2022-11-23T02:04:38.6183482Z  - 
2022-11-23T02:04:38.6183659Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.6183736Z             {
2022-11-23T02:04:38.6183934Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6184089Z                 'code': None,
2022-11-23T02:04:38.6184376Z                 'obj_weakref': <weakref at 0x7fa531e6c450; to 'Tensor' at 0x7fa6237e14e0>
2022-11-23T02:04:38.6184769Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6184866Z             }
2022-11-23T02:04:38.6184962Z             
2022-11-23T02:04:38.6185068Z  - 
2022-11-23T02:04:38.6185233Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.6185332Z             {
2022-11-23T02:04:38.6185519Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6185753Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.6185929Z                 'obj_weakref': None
2022-11-23T02:04:38.6186236Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.6186334Z             }
2022-11-23T02:04:38.6186412Z             
2022-11-23T02:04:38.6186516Z  - 
2022-11-23T02:04:38.6186749Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6186851Z             {
2022-11-23T02:04:38.6187045Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6187337Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6187504Z                 'obj_weakref': None
2022-11-23T02:04:38.6187784Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6187879Z             }
2022-11-23T02:04:38.6187975Z             
2022-11-23T02:04:38.6188082Z  - 
2022-11-23T02:04:38.6188269Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.6188368Z             {
2022-11-23T02:04:38.6188522Z                 'guard_types': None,
2022-11-23T02:04:38.6188672Z                 'code': None,
2022-11-23T02:04:38.6188837Z                 'obj_weakref': None
2022-11-23T02:04:38.6189006Z                 'guarded_class': None
2022-11-23T02:04:38.6189102Z             }
2022-11-23T02:04:38.6189198Z             
2022-11-23T02:04:38.6189546Z [2022-11-23 01:52:00,983] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 51
2022-11-23T02:04:38.6190041Z [2022-11-23 01:52:03,593] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jy/cjypnpqtzllad2b35fj3pkjj2xcs23ozw4o4xpyautdodmmizofd.py
2022-11-23T02:04:38.6190375Z [2022-11-23 01:52:03,593] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 51
2022-11-23T02:04:38.6190396Z 
2022-11-23T02:04:38.6190534Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6190642Z import torch
2022-11-23T02:04:38.6190744Z import random
2022-11-23T02:04:38.6190907Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6191083Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6191104Z 
2022-11-23T02:04:38.6191221Z aten = torch.ops.aten
2022-11-23T02:04:38.6191410Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6191530Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6191549Z 
2022-11-23T02:04:38.6191568Z 
2022-11-23T02:04:38.6191760Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.6192041Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.6192213Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.6192364Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.6192510Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.6192651Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:38.6192788Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:38.6192931Z {
2022-11-23T02:04:38.6193075Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.6193171Z     {
2022-11-23T02:04:38.6193291Z         #pragma omp for 
2022-11-23T02:04:38.6193409Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.6193505Z         {
2022-11-23T02:04:38.6193708Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.6193903Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:38.6194216Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-0.10000000149011612));
2022-11-23T02:04:38.6194373Z             auto tmp2 = at::vec::maximum(tmp0, tmp1);
2022-11-23T02:04:38.6194572Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(0.10000000149011612));
2022-11-23T02:04:38.6194726Z             auto tmp4 = at::vec::minimum(tmp2, tmp3);
2022-11-23T02:04:38.6194917Z             auto tmp6 = at::vec::Vectorized<float>(static_cast<float>(0.0));
2022-11-23T02:04:38.6195075Z             auto tmp7 = at::vec::maximum(tmp5, tmp6);
2022-11-23T02:04:38.6195201Z             auto tmp8 = tmp0 + tmp5;
2022-11-23T02:04:38.6195333Z             auto tmp9 = at::vec::minimum(tmp8, tmp6);
2022-11-23T02:04:38.6195469Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.6195652Z             tmp7.store(out_ptr1 + 8*i0);
2022-11-23T02:04:38.6195790Z             tmp9.store(out_ptr2 + 8*i0);
2022-11-23T02:04:38.6195888Z         }
2022-11-23T02:04:38.6196023Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.6196142Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:38.6196219Z         {
2022-11-23T02:04:38.6196347Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.6196469Z             auto tmp5 = in_ptr1[i0];
2022-11-23T02:04:38.6196713Z             auto tmp1 = static_cast<float>(-0.10000000149011612);
2022-11-23T02:04:38.6196858Z             auto tmp2 = std::max(tmp0, tmp1);
2022-11-23T02:04:38.6197017Z             auto tmp3 = static_cast<float>(0.10000000149011612);
2022-11-23T02:04:38.6197161Z             auto tmp4 = std::min(tmp2, tmp3);
2022-11-23T02:04:38.6197289Z             auto tmp6 = static_cast<float>(0.0);
2022-11-23T02:04:38.6197433Z             auto tmp7 = std::max(tmp5, tmp6);
2022-11-23T02:04:38.6197561Z             auto tmp8 = tmp0 + tmp5;
2022-11-23T02:04:38.6197702Z             auto tmp9 = std::min(tmp8, tmp6);
2022-11-23T02:04:38.6197822Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:38.6197943Z             out_ptr1[i0] = tmp7;
2022-11-23T02:04:38.6198060Z             out_ptr2[i0] = tmp9;
2022-11-23T02:04:38.6198135Z         }
2022-11-23T02:04:38.6198231Z     }
2022-11-23T02:04:38.6198321Z }
2022-11-23T02:04:38.6198444Z ''')
2022-11-23T02:04:38.6198464Z 
2022-11-23T02:04:38.6198482Z 
2022-11-23T02:04:38.6198612Z async_compile.wait(globals())
2022-11-23T02:04:38.6198724Z del async_compile
2022-11-23T02:04:38.6198743Z 
2022-11-23T02:04:38.6198847Z def call(args):
2022-11-23T02:04:38.6198961Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.6199056Z     args.clear()
2022-11-23T02:04:38.6199328Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6199596Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6199863Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6200163Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:38.6200269Z     del arg0_1
2022-11-23T02:04:38.6200371Z     del arg1_1
2022-11-23T02:04:38.6200477Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:38.6200516Z 
2022-11-23T02:04:38.6200535Z 
2022-11-23T02:04:38.6200631Z if __name__ == "__main__":
2022-11-23T02:04:38.6200798Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6200973Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6201243Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6201582Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6201752Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.6201771Z 
2022-11-23T02:04:38.6201878Z ok (2.674s)
2022-11-23T02:04:38.6202272Z   test_clone_cpu (__main__.CpuTests) ... [2022-11-23 01:52:03,600] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6202701Z [2022-11-23 01:52:03,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6203002Z [2022-11-23 01:52:03,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6203348Z [2022-11-23 01:52:03,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.6203721Z [2022-11-23 01:52:03,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.6204156Z [2022-11-23 01:52:03,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6204714Z [2022-11-23 01:52:03,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6205157Z [2022-11-23 01:52:03,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6205662Z [2022-11-23 01:52:03,601] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9cb30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2447> 
2022-11-23T02:04:38.6205801Z  2448           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.6205939Z                2 LOAD_METHOD              1 (clone)
2022-11-23T02:04:38.6206057Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.6206187Z                6 CALL_METHOD              1
2022-11-23T02:04:38.6206321Z                8 LOAD_CONST               1 (2)
2022-11-23T02:04:38.6206435Z               10 BINARY_ADD
2022-11-23T02:04:38.6206577Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.6206715Z               14 LOAD_METHOD              1 (clone)
2022-11-23T02:04:38.6206845Z               16 LOAD_FAST                0 (x)
2022-11-23T02:04:38.6206958Z               18 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6207069Z               20 BINARY_ADD
2022-11-23T02:04:38.6207199Z               22 CALL_METHOD              1
2022-11-23T02:04:38.6207334Z               24 BUILD_TUPLE              2
2022-11-23T02:04:38.6207450Z               26 RETURN_VALUE
2022-11-23T02:04:38.6207544Z  
2022-11-23T02:04:38.6207564Z 
2022-11-23T02:04:38.6207995Z [2022-11-23 01:52:03,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2448
2022-11-23T02:04:38.6208282Z [2022-11-23 01:52:03,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.6208701Z [2022-11-23 01:52:03,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.6209049Z [2022-11-23 01:52:03,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.clone)]
2022-11-23T02:04:38.6209436Z [2022-11-23 01:52:03,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.clone), TensorVariable()]
2022-11-23T02:04:38.6209759Z [2022-11-23 01:52:03,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:38.6210136Z [2022-11-23 01:52:03,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6210468Z [2022-11-23 01:52:03,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.6210981Z [2022-11-23 01:52:03,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.6211365Z [2022-11-23 01:52:03,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.clone)]
2022-11-23T02:04:38.6211780Z [2022-11-23 01:52:03,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.clone), TensorVariable()]
2022-11-23T02:04:38.6212233Z [2022-11-23 01:52:03,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.clone), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6212661Z [2022-11-23 01:52:03,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.clone), TensorVariable()]
2022-11-23T02:04:38.6213031Z [2022-11-23 01:52:03,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.6213372Z [2022-11-23 01:52:03,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6213930Z [2022-11-23 01:52:03,625] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9cb30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2447>
2022-11-23T02:04:38.6214267Z [2022-11-23 01:52:03,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6214589Z [2022-11-23 01:52:03,625] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6214936Z [2022-11-23 01:52:03,627] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6215275Z [2022-11-23 01:52:03,634] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6215539Z [2022-11-23 01:52:03,634] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6215710Z  __compiled_fn_53 <eval_with_key>.342 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6215844Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6215998Z call_function, clone, aten.clone, (ex_0_,), {}
2022-11-23T02:04:38.6216970Z call_function, add, <built-in function add>, (clone, 2), {}
2022-11-23T02:04:38.6217379Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:38.6217627Z call_function, clone_1, aten.clone, (add_1,), {}
2022-11-23T02:04:38.6217877Z output, output, output, ((add, clone_1),), {}
2022-11-23T02:04:38.6217907Z 
2022-11-23T02:04:38.6218557Z [2022-11-23 01:52:03,635] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6218682Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6218814Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6218951Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6219088Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6219210Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6219344Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6219459Z              12 RETURN_VALUE
2022-11-23T02:04:38.6219480Z 
2022-11-23T02:04:38.6219577Z  
2022-11-23T02:04:38.6219990Z [2022-11-23 01:52:03,635] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6220148Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_53)
2022-11-23T02:04:38.6220283Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6220415Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6220530Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6220658Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.6221030Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.6221157Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6221291Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6221403Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.6221551Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6221684Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6221796Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.6221926Z              24 BUILD_TUPLE              2
2022-11-23T02:04:38.6222019Z              26 RETURN_VALUE
2022-11-23T02:04:38.6222058Z 
2022-11-23T02:04:38.6222133Z  
2022-11-23T02:04:38.6222393Z [2022-11-23 01:52:03,636] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6222502Z  - 
2022-11-23T02:04:38.6222669Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6222767Z             {
2022-11-23T02:04:38.6222966Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6223208Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.6223377Z                 'obj_weakref': None
2022-11-23T02:04:38.6223687Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6223864Z             }
2022-11-23T02:04:38.6223968Z             
2022-11-23T02:04:38.6224076Z  - 
2022-11-23T02:04:38.6224256Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6224333Z             {
2022-11-23T02:04:38.6224532Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6224686Z                 'code': None,
2022-11-23T02:04:38.6224971Z                 'obj_weakref': <weakref at 0x7fa532025210; to 'Tensor' at 0x7fa531fc2610>
2022-11-23T02:04:38.6225314Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6225414Z             }
2022-11-23T02:04:38.6225510Z             
2022-11-23T02:04:38.6225601Z  - 
2022-11-23T02:04:38.6225789Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.6225883Z             {
2022-11-23T02:04:38.6226071Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6226313Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.6226481Z                 'obj_weakref': None
2022-11-23T02:04:38.6226797Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.6226896Z             }
2022-11-23T02:04:38.6226974Z             
2022-11-23T02:04:38.6227079Z  - 
2022-11-23T02:04:38.6227251Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6227347Z             {
2022-11-23T02:04:38.6227533Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6227824Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6227977Z                 'obj_weakref': None
2022-11-23T02:04:38.6228286Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6228383Z             }
2022-11-23T02:04:38.6228478Z             
2022-11-23T02:04:38.6228584Z  - 
2022-11-23T02:04:38.6228768Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.6228870Z             {
2022-11-23T02:04:38.6229022Z                 'guard_types': None,
2022-11-23T02:04:38.6229177Z                 'code': None,
2022-11-23T02:04:38.6229344Z                 'obj_weakref': None
2022-11-23T02:04:38.6229519Z                 'guarded_class': None
2022-11-23T02:04:38.6229616Z             }
2022-11-23T02:04:38.6229714Z             
2022-11-23T02:04:38.6230060Z [2022-11-23 01:52:03,647] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 52
2022-11-23T02:04:38.6230537Z [2022-11-23 01:52:06,292] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ex/cexplvywuujsfloed5o733fg2hdmklh5zjsgot2nfomeq7ou7z74.py
2022-11-23T02:04:38.6230970Z [2022-11-23 01:52:06,292] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 52
2022-11-23T02:04:38.6230991Z 
2022-11-23T02:04:38.6231128Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6231233Z import torch
2022-11-23T02:04:38.6231338Z import random
2022-11-23T02:04:38.6231506Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6231678Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6231697Z 
2022-11-23T02:04:38.6231814Z aten = torch.ops.aten
2022-11-23T02:04:38.6231982Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6232117Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6232136Z 
2022-11-23T02:04:38.6232155Z 
2022-11-23T02:04:38.6232345Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.6232629Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.6232797Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.6232950Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.6233093Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:38.6233186Z {
2022-11-23T02:04:38.6233368Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.6233520Z     {
2022-11-23T02:04:38.6233645Z         #pragma omp for 
2022-11-23T02:04:38.6233769Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:38.6233864Z         {
2022-11-23T02:04:38.6234077Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.6234264Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:38.6234370Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.6234551Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:38.6234675Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T02:04:38.6234807Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.6234939Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T02:04:38.6235037Z         }
2022-11-23T02:04:38.6235172Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.6235278Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T02:04:38.6235376Z         {
2022-11-23T02:04:38.6235506Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.6235653Z             auto tmp1 = static_cast<float>(2);
2022-11-23T02:04:38.6235774Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:38.6235915Z             auto tmp3 = static_cast<float>(1);
2022-11-23T02:04:38.6236041Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T02:04:38.6236141Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.6236261Z             out_ptr1[i0] = tmp4;
2022-11-23T02:04:38.6236355Z         }
2022-11-23T02:04:38.6236450Z     }
2022-11-23T02:04:38.6236538Z }
2022-11-23T02:04:38.6236666Z ''')
2022-11-23T02:04:38.6236686Z 
2022-11-23T02:04:38.6236704Z 
2022-11-23T02:04:38.6236836Z async_compile.wait(globals())
2022-11-23T02:04:38.6236927Z del async_compile
2022-11-23T02:04:38.6236968Z 
2022-11-23T02:04:38.6237056Z def call(args):
2022-11-23T02:04:38.6237160Z     arg0_1, = args
2022-11-23T02:04:38.6237266Z     args.clear()
2022-11-23T02:04:38.6237538Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6237813Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6238037Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.6238142Z     del arg0_1
2022-11-23T02:04:38.6238239Z     return (buf0, buf1, )
2022-11-23T02:04:38.6238259Z 
2022-11-23T02:04:38.6238277Z 
2022-11-23T02:04:38.6238390Z if __name__ == "__main__":
2022-11-23T02:04:38.6238553Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6238725Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6238995Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6239218Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.6239238Z 
2022-11-23T02:04:38.6239339Z ok (2.699s)
2022-11-23T02:04:38.6239772Z   test_constant_pad_1d_cpu (__main__.CpuTests) ... [2022-11-23 01:52:06,299] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6240176Z [2022-11-23 01:52:06,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6240473Z [2022-11-23 01:52:06,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6240817Z [2022-11-23 01:52:06,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.6241187Z [2022-11-23 01:52:06,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.6241620Z [2022-11-23 01:52:06,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6242084Z [2022-11-23 01:52:06,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6242576Z [2022-11-23 01:52:06,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6243087Z [2022-11-23 01:52:06,301] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f890b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3116> 
2022-11-23T02:04:38.6243226Z  3118           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.6243384Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T02:04:38.6243500Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.6243631Z                6 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6243761Z                8 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6243899Z               10 BUILD_LIST               2
2022-11-23T02:04:38.6244029Z               12 LOAD_CONST               3 (6.0)
2022-11-23T02:04:38.6244158Z               14 CALL_METHOD              3
2022-11-23T02:04:38.6244178Z 
2022-11-23T02:04:38.6244316Z 3119          16 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.6244467Z               18 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T02:04:38.6244580Z               20 LOAD_FAST                0 (a)
2022-11-23T02:04:38.6244708Z               22 LOAD_CONST               4 (2)
2022-11-23T02:04:38.6244836Z               24 LOAD_CONST               5 (3)
2022-11-23T02:04:38.6244965Z               26 BUILD_LIST               2
2022-11-23T02:04:38.6245097Z               28 LOAD_CONST               6 (99.0)
2022-11-23T02:04:38.6245220Z               30 CALL_METHOD              3
2022-11-23T02:04:38.6245239Z 
2022-11-23T02:04:38.6245367Z 3117          32 BUILD_TUPLE              2
2022-11-23T02:04:38.6245467Z               34 RETURN_VALUE
2022-11-23T02:04:38.6245564Z  
2022-11-23T02:04:38.6245583Z 
2022-11-23T02:04:38.6246020Z [2022-11-23 01:52:06,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3118
2022-11-23T02:04:38.6246322Z [2022-11-23 01:52:06,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.6246755Z [2022-11-23 01:52:06,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.6247124Z [2022-11-23 01:52:06,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T02:04:38.6247521Z [2022-11-23 01:52:06,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T02:04:38.6247961Z [2022-11-23 01:52:06,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6248588Z [2022-11-23 01:52:06,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.6249020Z [2022-11-23 01:52:06,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.6249486Z [2022-11-23 01:52:06,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T02:04:38.6249910Z [2022-11-23 01:52:06,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3119
2022-11-23T02:04:38.6250249Z [2022-11-23 01:52:06,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.6250722Z [2022-11-23 01:52:06,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.6251168Z [2022-11-23 01:52:06,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T02:04:38.6251609Z [2022-11-23 01:52:06,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T02:04:38.6252095Z [2022-11-23 01:52:06,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6252624Z [2022-11-23 01:52:06,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.6253109Z [2022-11-23 01:52:06,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.6253643Z [2022-11-23 01:52:06,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T02:04:38.6254063Z [2022-11-23 01:52:06,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3117
2022-11-23T02:04:38.6254432Z [2022-11-23 01:52:06,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.6254750Z [2022-11-23 01:52:06,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6255262Z [2022-11-23 01:52:06,323] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f890b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3116>
2022-11-23T02:04:38.6255607Z [2022-11-23 01:52:06,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6255938Z [2022-11-23 01:52:06,324] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6256985Z [2022-11-23 01:52:06,326] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6257589Z [2022-11-23 01:52:06,331] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6258040Z [2022-11-23 01:52:06,331] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6258359Z  __compiled_fn_54 <eval_with_key>.348 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6258498Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6258674Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [0, 1], 6.0), {}
2022-11-23T02:04:38.6259070Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [2, 3], 99.0), {}
2022-11-23T02:04:38.6259255Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T02:04:38.6259275Z 
2022-11-23T02:04:38.6259731Z [2022-11-23 01:52:06,332] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6259872Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6260007Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6260139Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6260276Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6260384Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6260512Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6260629Z              12 RETURN_VALUE
2022-11-23T02:04:38.6260648Z 
2022-11-23T02:04:38.6260741Z  
2022-11-23T02:04:38.6261173Z [2022-11-23 01:52:06,332] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6261330Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_54)
2022-11-23T02:04:38.6261539Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6261678Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6261772Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6261900Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.6262050Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.6262202Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6262334Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6262446Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.6262592Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6262707Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6262827Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.6262955Z              24 BUILD_TUPLE              2
2022-11-23T02:04:38.6263068Z              26 RETURN_VALUE
2022-11-23T02:04:38.6263088Z 
2022-11-23T02:04:38.6263181Z  
2022-11-23T02:04:38.6263442Z [2022-11-23 01:52:06,333] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6263552Z  - 
2022-11-23T02:04:38.6263703Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6263803Z             {
2022-11-23T02:04:38.6263998Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6264257Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.6264429Z                 'obj_weakref': None
2022-11-23T02:04:38.6264737Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6264832Z             }
2022-11-23T02:04:38.6264929Z             
2022-11-23T02:04:38.6265017Z  - 
2022-11-23T02:04:38.6265193Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6265296Z             {
2022-11-23T02:04:38.6265496Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6265648Z                 'code': None,
2022-11-23T02:04:38.6265941Z                 'obj_weakref': <weakref at 0x7fa531e6c310; to 'Tensor' at 0x7fa531fc2610>
2022-11-23T02:04:38.6266288Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6266367Z             }
2022-11-23T02:04:38.6266467Z             
2022-11-23T02:04:38.6266574Z  - 
2022-11-23T02:04:38.6266763Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.6266859Z             {
2022-11-23T02:04:38.6267049Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6267262Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.6267429Z                 'obj_weakref': None
2022-11-23T02:04:38.6267740Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.6267902Z             }
2022-11-23T02:04:38.6267998Z             
2022-11-23T02:04:38.6268107Z  - 
2022-11-23T02:04:38.6268287Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6268363Z             {
2022-11-23T02:04:38.6268558Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6268851Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6269019Z                 'obj_weakref': None
2022-11-23T02:04:38.6269322Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6269420Z             }
2022-11-23T02:04:38.6269516Z             
2022-11-23T02:04:38.6269602Z  - 
2022-11-23T02:04:38.6269786Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.6269879Z             {
2022-11-23T02:04:38.6270047Z                 'guard_types': None,
2022-11-23T02:04:38.6270197Z                 'code': None,
2022-11-23T02:04:38.6270367Z                 'obj_weakref': None
2022-11-23T02:04:38.6270543Z                 'guarded_class': None
2022-11-23T02:04:38.6270621Z             }
2022-11-23T02:04:38.6270716Z             
2022-11-23T02:04:38.6271165Z [2022-11-23 01:52:06,342] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 53
2022-11-23T02:04:38.6271665Z [2022-11-23 01:52:08,957] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kd/ckdc4ggstrmmi33q3tujbhl6cnonq5jcjuw2kknviyj6rurkbd6f.py
2022-11-23T02:04:38.6272021Z [2022-11-23 01:52:08,958] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 53
2022-11-23T02:04:38.6272042Z 
2022-11-23T02:04:38.6272182Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6272287Z import torch
2022-11-23T02:04:38.6272391Z import random
2022-11-23T02:04:38.6272535Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6272705Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6272728Z 
2022-11-23T02:04:38.6272844Z aten = torch.ops.aten
2022-11-23T02:04:38.6273031Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6273168Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6273188Z 
2022-11-23T02:04:38.6273206Z 
2022-11-23T02:04:38.6273404Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.6273686Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.6273854Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.6273979Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.6274125Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:38.6274219Z {
2022-11-23T02:04:38.6274359Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.6274453Z     {
2022-11-23T02:04:38.6274569Z         #pragma omp for 
2022-11-23T02:04:38.6274691Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:38.6274772Z         {
2022-11-23T02:04:38.6274893Z             #pragma GCC ivdep
2022-11-23T02:04:38.6275018Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T02:04:38.6275113Z             {
2022-11-23T02:04:38.6275217Z                 {
2022-11-23T02:04:38.6275324Z                     {
2022-11-23T02:04:38.6275481Z                         auto tmp0 = static_cast<long>(i1);
2022-11-23T02:04:38.6275616Z                         auto tmp1 = static_cast<long>(31);
2022-11-23T02:04:38.6275754Z                         auto tmp2 = tmp0 < tmp1;
2022-11-23T02:04:38.6275883Z                         float tmp3 = 6.0;
2022-11-23T02:04:38.6275994Z                         if(tmp2)
2022-11-23T02:04:38.6276098Z                         {
2022-11-23T02:04:38.6276248Z                             auto tmp4 = in_ptr0[i1 + (31*i0)];
2022-11-23T02:04:38.6276367Z                             tmp3 = tmp4;
2022-11-23T02:04:38.6276450Z                         }
2022-11-23T02:04:38.6276591Z                         out_ptr0[i1 + (32*i0)] = tmp3;
2022-11-23T02:04:38.6276767Z                     }
2022-11-23T02:04:38.6276866Z                 }
2022-11-23T02:04:38.6276963Z             }
2022-11-23T02:04:38.6277060Z         }
2022-11-23T02:04:38.6277176Z         #pragma omp for 
2022-11-23T02:04:38.6277280Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:38.6277379Z         {
2022-11-23T02:04:38.6277496Z             #pragma GCC ivdep
2022-11-23T02:04:38.6277618Z             for(long i1=0; i1<36; i1+=1)
2022-11-23T02:04:38.6277714Z             {
2022-11-23T02:04:38.6277810Z                 {
2022-11-23T02:04:38.6277890Z                     {
2022-11-23T02:04:38.6278135Z                         auto tmp0 = static_cast<long>((-2) + i1);
2022-11-23T02:04:38.6278287Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T02:04:38.6278424Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T02:04:38.6278576Z                         auto tmp3 = static_cast<long>(31);
2022-11-23T02:04:38.6278711Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T02:04:38.6278851Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T02:04:38.6278958Z                         float tmp6 = 99.0;
2022-11-23T02:04:38.6279070Z                         if(tmp5)
2022-11-23T02:04:38.6279176Z                         {
2022-11-23T02:04:38.6279476Z                             auto tmp7 = in_ptr0[(-2) + i1 + (31*i0)];
2022-11-23T02:04:38.6279603Z                             tmp6 = tmp7;
2022-11-23T02:04:38.6279709Z                         }
2022-11-23T02:04:38.6279846Z                         out_ptr1[i1 + (36*i0)] = tmp6;
2022-11-23T02:04:38.6279947Z                     }
2022-11-23T02:04:38.6280026Z                 }
2022-11-23T02:04:38.6280127Z             }
2022-11-23T02:04:38.6280223Z         }
2022-11-23T02:04:38.6280319Z     }
2022-11-23T02:04:38.6280412Z }
2022-11-23T02:04:38.6280531Z ''')
2022-11-23T02:04:38.6280551Z 
2022-11-23T02:04:38.6280569Z 
2022-11-23T02:04:38.6280682Z async_compile.wait(globals())
2022-11-23T02:04:38.6280792Z del async_compile
2022-11-23T02:04:38.6280816Z 
2022-11-23T02:04:38.6280922Z def call(args):
2022-11-23T02:04:38.6281032Z     arg0_1, = args
2022-11-23T02:04:38.6281142Z     args.clear()
2022-11-23T02:04:38.6281430Z     buf0 = empty_strided((2, 16, 32), (512, 32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6281715Z     buf1 = empty_strided((2, 16, 36), (576, 36, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6281943Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.6282029Z     del arg0_1
2022-11-23T02:04:38.6282143Z     return (buf0, buf1, )
2022-11-23T02:04:38.6282163Z 
2022-11-23T02:04:38.6282181Z 
2022-11-23T02:04:38.6282294Z if __name__ == "__main__":
2022-11-23T02:04:38.6282458Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6282631Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6282919Z     arg0_1 = rand_strided((2, 16, 31), (496, 31, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6283080Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.6283099Z 
2022-11-23T02:04:38.6283201Z ok (2.665s)
2022-11-23T02:04:38.6283619Z   test_constant_pad_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:52:08,965] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6284049Z [2022-11-23 01:52:08,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6284356Z [2022-11-23 01:52:08,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6284814Z [2022-11-23 01:52:08,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.6285193Z [2022-11-23 01:52:08,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.6285625Z [2022-11-23 01:52:08,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6286181Z [2022-11-23 01:52:08,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6286619Z [2022-11-23 01:52:08,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6287120Z [2022-11-23 01:52:08,966] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f89210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3125> 
2022-11-23T02:04:38.6287261Z  3127           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.6287396Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T02:04:38.6287530Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.6287661Z                6 BUILD_LIST               0
2022-11-23T02:04:38.6287810Z                8 LOAD_CONST               1 ((1, 1, 1, 1))
2022-11-23T02:04:38.6287940Z               10 LIST_EXTEND              1
2022-11-23T02:04:38.6288072Z               12 LOAD_CONST               2 (6.0)
2022-11-23T02:04:38.6288265Z               14 CALL_METHOD              3
2022-11-23T02:04:38.6288286Z 
2022-11-23T02:04:38.6288427Z 3128          16 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.6288566Z               18 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T02:04:38.6288700Z               20 LOAD_FAST                0 (a)
2022-11-23T02:04:38.6288831Z               22 BUILD_LIST               0
2022-11-23T02:04:38.6288975Z               24 LOAD_CONST               3 ((1, 2, 3, 4))
2022-11-23T02:04:38.6289102Z               26 LIST_EXTEND              1
2022-11-23T02:04:38.6289236Z               28 LOAD_CONST               4 (99.0)
2022-11-23T02:04:38.6289363Z               30 CALL_METHOD              3
2022-11-23T02:04:38.6289381Z 
2022-11-23T02:04:38.6289495Z 3126          32 BUILD_TUPLE              2
2022-11-23T02:04:38.6289610Z               34 RETURN_VALUE
2022-11-23T02:04:38.6289706Z  
2022-11-23T02:04:38.6289725Z 
2022-11-23T02:04:38.6290162Z [2022-11-23 01:52:08,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3127
2022-11-23T02:04:38.6290459Z [2022-11-23 01:52:08,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.6290887Z [2022-11-23 01:52:08,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.6291248Z [2022-11-23 01:52:08,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T02:04:38.6291644Z [2022-11-23 01:52:08,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T02:04:38.6292087Z [2022-11-23 01:52:08,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1, 1) [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.6292584Z [2022-11-23 01:52:08,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.6293002Z [2022-11-23 01:52:08,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.6293496Z [2022-11-23 01:52:08,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T02:04:38.6293920Z [2022-11-23 01:52:08,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3128
2022-11-23T02:04:38.6294253Z [2022-11-23 01:52:08,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.6294803Z [2022-11-23 01:52:08,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.6295206Z [2022-11-23 01:52:08,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T02:04:38.6295638Z [2022-11-23 01:52:08,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T02:04:38.6296657Z [2022-11-23 01:52:08,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.6297622Z [2022-11-23 01:52:08,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.6298396Z [2022-11-23 01:52:08,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.6299095Z [2022-11-23 01:52:08,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T02:04:38.6299532Z [2022-11-23 01:52:08,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3126
2022-11-23T02:04:38.6299874Z [2022-11-23 01:52:08,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.6300211Z [2022-11-23 01:52:08,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6300720Z [2022-11-23 01:52:08,989] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f89210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3125>
2022-11-23T02:04:38.6301059Z [2022-11-23 01:52:08,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6301381Z [2022-11-23 01:52:08,989] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6301727Z [2022-11-23 01:52:08,991] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6302065Z [2022-11-23 01:52:08,999] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6302326Z [2022-11-23 01:52:09,000] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6302518Z  __compiled_fn_55 <eval_with_key>.354 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6302631Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6302829Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [1, 1, 1, 1], 6.0), {}
2022-11-23T02:04:38.6303031Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [1, 2, 3, 4], 99.0), {}
2022-11-23T02:04:38.6303219Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T02:04:38.6303244Z 
2022-11-23T02:04:38.6303680Z [2022-11-23 01:52:09,000] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6303820Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6303952Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6304079Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6304298Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6304405Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6304534Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6304646Z              12 RETURN_VALUE
2022-11-23T02:04:38.6304754Z 
2022-11-23T02:04:38.6304850Z  
2022-11-23T02:04:38.6305286Z [2022-11-23 01:52:09,001] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6305445Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_55)
2022-11-23T02:04:38.6305578Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6305689Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6305805Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6305928Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.6306076Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.6306222Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6306352Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6306466Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.6306593Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6306731Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6306844Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.6306972Z              24 BUILD_TUPLE              2
2022-11-23T02:04:38.6307081Z              26 RETURN_VALUE
2022-11-23T02:04:38.6307102Z 
2022-11-23T02:04:38.6307249Z  
2022-11-23T02:04:38.6307515Z [2022-11-23 01:52:09,002] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6307624Z  - 
2022-11-23T02:04:38.6307775Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6307873Z             {
2022-11-23T02:04:38.6308067Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6308322Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.6308496Z                 'obj_weakref': None
2022-11-23T02:04:38.6308806Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6308905Z             }
2022-11-23T02:04:38.6308982Z             
2022-11-23T02:04:38.6309095Z  - 
2022-11-23T02:04:38.6309272Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6309370Z             {
2022-11-23T02:04:38.6309568Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6309722Z                 'code': None,
2022-11-23T02:04:38.6310013Z                 'obj_weakref': <weakref at 0x7fa531e6d030; to 'Tensor' at 0x7fa5322fa2f0>
2022-11-23T02:04:38.6310341Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6310438Z             }
2022-11-23T02:04:38.6310533Z             
2022-11-23T02:04:38.6310638Z  - 
2022-11-23T02:04:38.6310820Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.6310919Z             {
2022-11-23T02:04:38.6311109Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6311326Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.6311495Z                 'obj_weakref': None
2022-11-23T02:04:38.6311814Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.6311910Z             }
2022-11-23T02:04:38.6312008Z             
2022-11-23T02:04:38.6312113Z  - 
2022-11-23T02:04:38.6312284Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6312367Z             {
2022-11-23T02:04:38.6312561Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6312853Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6313024Z                 'obj_weakref': None
2022-11-23T02:04:38.6313328Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6313425Z             }
2022-11-23T02:04:38.6313519Z             
2022-11-23T02:04:38.6313606Z  - 
2022-11-23T02:04:38.6313786Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.6313881Z             {
2022-11-23T02:04:38.6314049Z                 'guard_types': None,
2022-11-23T02:04:38.6314271Z                 'code': None,
2022-11-23T02:04:38.6314434Z                 'obj_weakref': None
2022-11-23T02:04:38.6314585Z                 'guarded_class': None
2022-11-23T02:04:38.6314683Z             }
2022-11-23T02:04:38.6314777Z             
2022-11-23T02:04:38.6315127Z [2022-11-23 01:52:09,011] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 54
2022-11-23T02:04:38.6315623Z [2022-11-23 01:52:11,599] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fk/cfkdxpeoldnc3c5dxequo7znqtev6japmz4fthq2e3xb6x53k77z.py
2022-11-23T02:04:38.6315975Z [2022-11-23 01:52:11,600] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 54
2022-11-23T02:04:38.6315996Z 
2022-11-23T02:04:38.6316135Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6316241Z import torch
2022-11-23T02:04:38.6316326Z import random
2022-11-23T02:04:38.6316489Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6316664Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6316684Z 
2022-11-23T02:04:38.6316799Z aten = torch.ops.aten
2022-11-23T02:04:38.6316986Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6317119Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6317259Z 
2022-11-23T02:04:38.6317279Z 
2022-11-23T02:04:38.6317483Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.6317766Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.6317915Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.6318063Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.6318202Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:38.6318294Z {
2022-11-23T02:04:38.6318435Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.6318531Z     {
2022-11-23T02:04:38.6318663Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.6318768Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:38.6318864Z         {
2022-11-23T02:04:38.6318988Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:38.6319085Z             {
2022-11-23T02:04:38.6319183Z                 {
2022-11-23T02:04:38.6319283Z                     {
2022-11-23T02:04:38.6319525Z                         auto tmp0 = static_cast<long>((-1) + i0);
2022-11-23T02:04:38.6319658Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T02:04:38.6319797Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T02:04:38.6319944Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T02:04:38.6320080Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T02:04:38.6320307Z                         auto tmp5 = static_cast<long>((-1) + i1);
2022-11-23T02:04:38.6320445Z                         auto tmp6 = tmp5 >= tmp1;
2022-11-23T02:04:38.6320579Z                         auto tmp7 = tmp5 < tmp3;
2022-11-23T02:04:38.6320693Z                         auto tmp8 = tmp2 & tmp4;
2022-11-23T02:04:38.6320836Z                         auto tmp9 = tmp8 & tmp6;
2022-11-23T02:04:38.6320969Z                         auto tmp10 = tmp9 & tmp7;
2022-11-23T02:04:38.6321092Z                         float tmp11 = 6.0;
2022-11-23T02:04:38.6321208Z                         if(tmp10)
2022-11-23T02:04:38.6321312Z                         {
2022-11-23T02:04:38.6321548Z                             auto tmp12 = in_ptr0[(-9) + i1 + (8*i0)];
2022-11-23T02:04:38.6321675Z                             tmp11 = tmp12;
2022-11-23T02:04:38.6321759Z                         }
2022-11-23T02:04:38.6321898Z                         out_ptr0[i1 + (10*i0)] = tmp11;
2022-11-23T02:04:38.6321997Z                     }
2022-11-23T02:04:38.6322097Z                 }
2022-11-23T02:04:38.6322193Z             }
2022-11-23T02:04:38.6322288Z         }
2022-11-23T02:04:38.6322405Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.6322526Z         for(long i0=0; i0<15; i0+=1)
2022-11-23T02:04:38.6322692Z         {
2022-11-23T02:04:38.6322817Z             for(long i1=0; i1<11; i1+=1)
2022-11-23T02:04:38.6322913Z             {
2022-11-23T02:04:38.6323009Z                 {
2022-11-23T02:04:38.6323108Z                     {
2022-11-23T02:04:38.6323332Z                         auto tmp0 = static_cast<long>((-3) + i0);
2022-11-23T02:04:38.6323481Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T02:04:38.6323617Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T02:04:38.6323763Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T02:04:38.6323896Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T02:04:38.6324129Z                         auto tmp5 = static_cast<long>((-1) + i1);
2022-11-23T02:04:38.6324265Z                         auto tmp6 = tmp5 >= tmp1;
2022-11-23T02:04:38.6324382Z                         auto tmp7 = tmp5 < tmp3;
2022-11-23T02:04:38.6324519Z                         auto tmp8 = tmp2 & tmp4;
2022-11-23T02:04:38.6324651Z                         auto tmp9 = tmp8 & tmp6;
2022-11-23T02:04:38.6324790Z                         auto tmp10 = tmp9 & tmp7;
2022-11-23T02:04:38.6324919Z                         float tmp11 = 99.0;
2022-11-23T02:04:38.6325033Z                         if(tmp10)
2022-11-23T02:04:38.6325137Z                         {
2022-11-23T02:04:38.6325410Z                             auto tmp12 = in_ptr0[(-25) + i1 + (8*i0)];
2022-11-23T02:04:38.6325542Z                             tmp11 = tmp12;
2022-11-23T02:04:38.6325646Z                         }
2022-11-23T02:04:38.6325785Z                         out_ptr1[i1 + (11*i0)] = tmp11;
2022-11-23T02:04:38.6325886Z                     }
2022-11-23T02:04:38.6325985Z                 }
2022-11-23T02:04:38.6326080Z             }
2022-11-23T02:04:38.6326247Z         }
2022-11-23T02:04:38.6326342Z     }
2022-11-23T02:04:38.6326438Z }
2022-11-23T02:04:38.6326559Z ''')
2022-11-23T02:04:38.6326580Z 
2022-11-23T02:04:38.6326598Z 
2022-11-23T02:04:38.6326732Z async_compile.wait(globals())
2022-11-23T02:04:38.6326844Z del async_compile
2022-11-23T02:04:38.6326863Z 
2022-11-23T02:04:38.6326969Z def call(args):
2022-11-23T02:04:38.6327074Z     arg0_1, = args
2022-11-23T02:04:38.6327162Z     args.clear()
2022-11-23T02:04:38.6327469Z     buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6327768Z     buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6327995Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.6328098Z     del arg0_1
2022-11-23T02:04:38.6328216Z     return (buf0, buf1, )
2022-11-23T02:04:38.6328236Z 
2022-11-23T02:04:38.6328255Z 
2022-11-23T02:04:38.6328368Z if __name__ == "__main__":
2022-11-23T02:04:38.6328514Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6328688Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6328979Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6329141Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.6329160Z 
2022-11-23T02:04:38.6329263Z ok (2.642s)
2022-11-23T02:04:38.6329740Z   test_constant_pad_3d_cpu (__main__.CpuTests) ... [2022-11-23 01:52:11,607] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6330166Z [2022-11-23 01:52:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6330472Z [2022-11-23 01:52:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6330815Z [2022-11-23 01:52:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.6331179Z [2022-11-23 01:52:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.6331612Z [2022-11-23 01:52:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6332157Z [2022-11-23 01:52:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6332589Z [2022-11-23 01:52:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6333088Z [2022-11-23 01:52:11,608] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f89370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3136> 
2022-11-23T02:04:38.6333225Z  3138           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.6333381Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T02:04:38.6333513Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.6333645Z                6 BUILD_LIST               0
2022-11-23T02:04:38.6333773Z                8 LOAD_CONST               1 ((1, 2, 3, 4, 5, 6))
2022-11-23T02:04:38.6333904Z               10 LIST_EXTEND              1
2022-11-23T02:04:38.6334030Z               12 LOAD_CONST               2 (6.0)
2022-11-23T02:04:38.6334252Z               14 CALL_METHOD              3
2022-11-23T02:04:38.6334272Z 
2022-11-23T02:04:38.6334414Z 3139          16 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.6334568Z               18 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T02:04:38.6334701Z               20 LOAD_FAST                0 (a)
2022-11-23T02:04:38.6334828Z               22 BUILD_LIST               0
2022-11-23T02:04:38.6334955Z               24 LOAD_CONST               3 ((0, 0, 3, 4, 0, 0))
2022-11-23T02:04:38.6335083Z               26 LIST_EXTEND              1
2022-11-23T02:04:38.6335213Z               28 LOAD_CONST               2 (6.0)
2022-11-23T02:04:38.6335344Z               30 CALL_METHOD              3
2022-11-23T02:04:38.6335368Z 
2022-11-23T02:04:38.6335501Z 3137          32 BUILD_TUPLE              2
2022-11-23T02:04:38.6335617Z               34 RETURN_VALUE
2022-11-23T02:04:38.6335711Z  
2022-11-23T02:04:38.6335730Z 
2022-11-23T02:04:38.6336787Z [2022-11-23 01:52:11,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3138
2022-11-23T02:04:38.6337302Z [2022-11-23 01:52:11,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.6338068Z [2022-11-23 01:52:11,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.6338549Z [2022-11-23 01:52:11,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T02:04:38.6338950Z [2022-11-23 01:52:11,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T02:04:38.6339408Z [2022-11-23 01:52:11,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4, 5, 6) [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.6339898Z [2022-11-23 01:52:11,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.6340331Z [2022-11-23 01:52:11,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.6340809Z [2022-11-23 01:52:11,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T02:04:38.6341232Z [2022-11-23 01:52:11,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3139
2022-11-23T02:04:38.6341738Z [2022-11-23 01:52:11,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.6342206Z [2022-11-23 01:52:11,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.6342584Z [2022-11-23 01:52:11,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T02:04:38.6343016Z [2022-11-23 01:52:11,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T02:04:38.6343500Z [2022-11-23 01:52:11,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 3, 4, 0, 0) [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.6344022Z [2022-11-23 01:52:11,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.6344574Z [2022-11-23 01:52:11,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.6345107Z [2022-11-23 01:52:11,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T02:04:38.6345526Z [2022-11-23 01:52:11,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3137
2022-11-23T02:04:38.6345897Z [2022-11-23 01:52:11,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.6346231Z [2022-11-23 01:52:11,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6346746Z [2022-11-23 01:52:11,631] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f89370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3136>
2022-11-23T02:04:38.6347082Z [2022-11-23 01:52:11,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6347402Z [2022-11-23 01:52:11,631] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6347727Z [2022-11-23 01:52:11,633] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6348072Z [2022-11-23 01:52:11,639] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6348334Z [2022-11-23 01:52:11,639] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6348522Z  __compiled_fn_56 <eval_with_key>.360 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6348654Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6348863Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [1, 2, 3, 4, 5, 6], 6.0), {}
2022-11-23T02:04:38.6349067Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [0, 0, 3, 4, 0, 0], 6.0), {}
2022-11-23T02:04:38.6349257Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T02:04:38.6349277Z 
2022-11-23T02:04:38.6349694Z [2022-11-23 01:52:11,640] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6349831Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6349972Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6350097Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6350233Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6350359Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6350488Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6350666Z              12 RETURN_VALUE
2022-11-23T02:04:38.6350686Z 
2022-11-23T02:04:38.6350759Z  
2022-11-23T02:04:38.6351203Z [2022-11-23 01:52:11,640] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6351360Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_56)
2022-11-23T02:04:38.6351491Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6351621Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6351735Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6351866Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.6352017Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.6352145Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6352279Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6352394Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.6352545Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6352674Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6352787Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.6352916Z              24 BUILD_TUPLE              2
2022-11-23T02:04:38.6353065Z              26 RETURN_VALUE
2022-11-23T02:04:38.6353087Z 
2022-11-23T02:04:38.6353186Z  
2022-11-23T02:04:38.6353447Z [2022-11-23 01:52:11,641] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6353560Z  - 
2022-11-23T02:04:38.6353728Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6353826Z             {
2022-11-23T02:04:38.6354023Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6354264Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.6354437Z                 'obj_weakref': None
2022-11-23T02:04:38.6354747Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6354851Z             }
2022-11-23T02:04:38.6354947Z             
2022-11-23T02:04:38.6355055Z  - 
2022-11-23T02:04:38.6355231Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6355309Z             {
2022-11-23T02:04:38.6355507Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6355666Z                 'code': None,
2022-11-23T02:04:38.6355958Z                 'obj_weakref': <weakref at 0x7fa531e6ee30; to 'Tensor' at 0x7fa531fc2610>
2022-11-23T02:04:38.6356302Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6356405Z             }
2022-11-23T02:04:38.6356505Z             
2022-11-23T02:04:38.6356592Z  - 
2022-11-23T02:04:38.6356773Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.6356870Z             {
2022-11-23T02:04:38.6357062Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6357300Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.6357474Z                 'obj_weakref': None
2022-11-23T02:04:38.6357786Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.6357864Z             }
2022-11-23T02:04:38.6357962Z             
2022-11-23T02:04:38.6358070Z  - 
2022-11-23T02:04:38.6358248Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6358344Z             {
2022-11-23T02:04:38.6358535Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6358828Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6358980Z                 'obj_weakref': None
2022-11-23T02:04:38.6359279Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6359380Z             }
2022-11-23T02:04:38.6359479Z             
2022-11-23T02:04:38.6359586Z  - 
2022-11-23T02:04:38.6359769Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.6359947Z             {
2022-11-23T02:04:38.6360101Z                 'guard_types': None,
2022-11-23T02:04:38.6360252Z                 'code': None,
2022-11-23T02:04:38.6360416Z                 'obj_weakref': None
2022-11-23T02:04:38.6360587Z                 'guarded_class': None
2022-11-23T02:04:38.6360690Z             }
2022-11-23T02:04:38.6360786Z             
2022-11-23T02:04:38.6361138Z [2022-11-23 01:52:11,650] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 55
2022-11-23T02:04:38.6361619Z [2022-11-23 01:52:14,352] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ea/ceakuy22iryqlhfgiddee4i3sotpocjztfjltncjvjgo2lwe4rp4.py
2022-11-23T02:04:38.6361971Z [2022-11-23 01:52:14,352] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 55
2022-11-23T02:04:38.6361992Z 
2022-11-23T02:04:38.6362129Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6362235Z import torch
2022-11-23T02:04:38.6362339Z import random
2022-11-23T02:04:38.6362508Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6362684Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6362707Z 
2022-11-23T02:04:38.6362825Z aten = torch.ops.aten
2022-11-23T02:04:38.6363067Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6363210Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6363229Z 
2022-11-23T02:04:38.6363248Z 
2022-11-23T02:04:38.6363442Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.6363727Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.6363896Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.6364040Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.6364183Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:38.6364277Z {
2022-11-23T02:04:38.6364401Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.6364496Z     {
2022-11-23T02:04:38.6364638Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.6364761Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:38.6364861Z         {
2022-11-23T02:04:38.6364987Z             for(long i1=0; i1<15; i1+=1)
2022-11-23T02:04:38.6365064Z             {
2022-11-23T02:04:38.6365192Z                 #pragma GCC ivdep
2022-11-23T02:04:38.6365325Z                 for(long i2=0; i2<11; i2+=1)
2022-11-23T02:04:38.6365426Z                 {
2022-11-23T02:04:38.6365551Z                     #pragma GCC ivdep
2022-11-23T02:04:38.6365682Z                     for(long i3=0; i3<7; i3+=1)
2022-11-23T02:04:38.6365785Z                     {
2022-11-23T02:04:38.6365868Z                         {
2022-11-23T02:04:38.6365975Z                             {
2022-11-23T02:04:38.6366225Z                                 auto tmp0 = static_cast<long>((-5) + i1);
2022-11-23T02:04:38.6366389Z                                 auto tmp1 = static_cast<long>(0);
2022-11-23T02:04:38.6366533Z                                 auto tmp2 = tmp0 >= tmp1;
2022-11-23T02:04:38.6366689Z                                 auto tmp3 = static_cast<long>(4);
2022-11-23T02:04:38.6366834Z                                 auto tmp4 = tmp0 < tmp3;
2022-11-23T02:04:38.6367084Z                                 auto tmp5 = static_cast<long>((-3) + i2);
2022-11-23T02:04:38.6367212Z                                 auto tmp6 = tmp5 >= tmp1;
2022-11-23T02:04:38.6367359Z                                 auto tmp7 = tmp5 < tmp3;
2022-11-23T02:04:38.6367600Z                                 auto tmp8 = static_cast<long>((-1) + i3);
2022-11-23T02:04:38.6367743Z                                 auto tmp9 = tmp8 >= tmp1;
2022-11-23T02:04:38.6367883Z                                 auto tmp10 = tmp8 < tmp3;
2022-11-23T02:04:38.6368025Z                                 auto tmp11 = tmp2 & tmp4;
2022-11-23T02:04:38.6368172Z                                 auto tmp12 = tmp11 & tmp6;
2022-11-23T02:04:38.6368296Z                                 auto tmp13 = tmp12 & tmp7;
2022-11-23T02:04:38.6368522Z                                 auto tmp14 = tmp13 & tmp9;
2022-11-23T02:04:38.6368670Z                                 auto tmp15 = tmp14 & tmp10;
2022-11-23T02:04:38.6368804Z                                 float tmp16 = 6.0;
2022-11-23T02:04:38.6368925Z                                 if(tmp15)
2022-11-23T02:04:38.6369035Z                                 {
2022-11-23T02:04:38.6369323Z                                     auto tmp17 = in_ptr0[(-93) + i3 + (4*i2) + (16*i1) + (64*i0)];
2022-11-23T02:04:38.6369454Z                                     tmp16 = tmp17;
2022-11-23T02:04:38.6369542Z                                 }
2022-11-23T02:04:38.6369702Z                                 out_ptr0[i3 + (7*i2) + (77*i1) + (1155*i0)] = tmp16;
2022-11-23T02:04:38.6369811Z                             }
2022-11-23T02:04:38.6369914Z                         }
2022-11-23T02:04:38.6370013Z                     }
2022-11-23T02:04:38.6370112Z                 }
2022-11-23T02:04:38.6370207Z             }
2022-11-23T02:04:38.6370289Z         }
2022-11-23T02:04:38.6370407Z         #pragma omp for 
2022-11-23T02:04:38.6370528Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.6370624Z         {
2022-11-23T02:04:38.6370743Z             #pragma GCC ivdep
2022-11-23T02:04:38.6370926Z             for(long i1=0; i1<11; i1+=1)
2022-11-23T02:04:38.6371010Z             {
2022-11-23T02:04:38.6371130Z                 #pragma GCC ivdep
2022-11-23T02:04:38.6371260Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T02:04:38.6371357Z                 {
2022-11-23T02:04:38.6371455Z                     {
2022-11-23T02:04:38.6371556Z                         {
2022-11-23T02:04:38.6371796Z                             auto tmp0 = static_cast<long>((-3) + i1);
2022-11-23T02:04:38.6371933Z                             auto tmp1 = static_cast<long>(0);
2022-11-23T02:04:38.6372071Z                             auto tmp2 = tmp0 >= tmp1;
2022-11-23T02:04:38.6372220Z                             auto tmp3 = static_cast<long>(4);
2022-11-23T02:04:38.6372364Z                             auto tmp4 = tmp0 < tmp3;
2022-11-23T02:04:38.6372500Z                             auto tmp5 = tmp2 & tmp4;
2022-11-23T02:04:38.6372629Z                             float tmp6 = 6.0;
2022-11-23T02:04:38.6372741Z                             if(tmp5)
2022-11-23T02:04:38.6372827Z                             {
2022-11-23T02:04:38.6373085Z                                 auto tmp7 = in_ptr0[(-12) + i2 + (4*i1) + (16*i0)];
2022-11-23T02:04:38.6373212Z                                 tmp6 = tmp7;
2022-11-23T02:04:38.6373315Z                             }
2022-11-23T02:04:38.6373467Z                             out_ptr1[i2 + (4*i1) + (44*i0)] = tmp6;
2022-11-23T02:04:38.6373573Z                         }
2022-11-23T02:04:38.6373674Z                     }
2022-11-23T02:04:38.6373752Z                 }
2022-11-23T02:04:38.6373850Z             }
2022-11-23T02:04:38.6373944Z         }
2022-11-23T02:04:38.6374040Z     }
2022-11-23T02:04:38.6374132Z }
2022-11-23T02:04:38.6374256Z ''')
2022-11-23T02:04:38.6374280Z 
2022-11-23T02:04:38.6374299Z 
2022-11-23T02:04:38.6374431Z async_compile.wait(globals())
2022-11-23T02:04:38.6374520Z del async_compile
2022-11-23T02:04:38.6374560Z 
2022-11-23T02:04:38.6374647Z def call(args):
2022-11-23T02:04:38.6374759Z     arg0_1, = args
2022-11-23T02:04:38.6374869Z     args.clear()
2022-11-23T02:04:38.6375175Z     buf0 = empty_strided((2, 15, 11, 7), (1155, 77, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6375463Z     buf1 = empty_strided((2, 4, 11, 4), (176, 44, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6375742Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.6375803Z     del arg0_1
2022-11-23T02:04:38.6375900Z     return (buf0, buf1, )
2022-11-23T02:04:38.6375919Z 
2022-11-23T02:04:38.6375955Z 
2022-11-23T02:04:38.6376483Z if __name__ == "__main__":
2022-11-23T02:04:38.6376771Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6377290Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6377805Z     arg0_1 = rand_strided((2, 4, 4, 4), (64, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6378073Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.6378109Z 
2022-11-23T02:04:38.6378268Z ok (2.753s)
2022-11-23T02:04:38.6378739Z   test_conv2d_backward_channels_last_cpu (__main__.CpuTests) ... [2022-11-23 01:52:14,376] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6379169Z [2022-11-23 01:52:14,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6379454Z [2022-11-23 01:52:14,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6379801Z [2022-11-23 01:52:14,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.6380179Z [2022-11-23 01:52:14,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.6380615Z [2022-11-23 01:52:14,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6381178Z [2022-11-23 01:52:14,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6381695Z [2022-11-23 01:52:14,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6382205Z [2022-11-23 01:52:14,378] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb8d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1865> 
2022-11-23T02:04:38.6382348Z  1866           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.6382484Z                2 LOAD_ATTR                1 (ops)
2022-11-23T02:04:38.6382605Z                4 LOAD_ATTR                2 (aten)
2022-11-23T02:04:38.6382765Z                6 LOAD_ATTR                3 (convolution_backward)
2022-11-23T02:04:38.6382901Z                8 LOAD_METHOD              4 (default)
2022-11-23T02:04:38.6382925Z 
2022-11-23T02:04:38.6383067Z 1867          10 LOAD_FAST                0 (grad_output)
2022-11-23T02:04:38.6383087Z 
2022-11-23T02:04:38.6383220Z 1868          12 LOAD_FAST                1 (inp)
2022-11-23T02:04:38.6383244Z 
2022-11-23T02:04:38.6383381Z 1869          14 LOAD_FAST                2 (weight)
2022-11-23T02:04:38.6383400Z 
2022-11-23T02:04:38.6383530Z 1870          16 LOAD_CONST               1 (320)
2022-11-23T02:04:38.6383659Z               18 BUILD_LIST               1
2022-11-23T02:04:38.6383679Z 
2022-11-23T02:04:38.6383811Z 1871          20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6383920Z               22 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6384055Z               24 BUILD_LIST               2
2022-11-23T02:04:38.6384074Z 
2022-11-23T02:04:38.6384205Z 1872          26 LOAD_CONST               3 (0)
2022-11-23T02:04:38.6384335Z               28 LOAD_CONST               3 (0)
2022-11-23T02:04:38.6384466Z               30 BUILD_LIST               2
2022-11-23T02:04:38.6384485Z 
2022-11-23T02:04:38.6384614Z 1873          32 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6384804Z               34 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6384933Z               36 BUILD_LIST               2
2022-11-23T02:04:38.6384952Z 
2022-11-23T02:04:38.6385067Z 1874          38 LOAD_CONST               4 (False)
2022-11-23T02:04:38.6385107Z 
2022-11-23T02:04:38.6385216Z 1875          40 LOAD_CONST               3 (0)
2022-11-23T02:04:38.6385342Z               42 LOAD_CONST               3 (0)
2022-11-23T02:04:38.6385509Z               44 BUILD_LIST               2
2022-11-23T02:04:38.6385509Z 
2022-11-23T02:04:38.6385613Z 1876          46 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6385718Z 
2022-11-23T02:04:38.6385829Z 1877          48 BUILD_LIST               0
2022-11-23T02:04:38.6385987Z               50 LOAD_CONST               5 ((True, True, True))
2022-11-23T02:04:38.6386116Z               52 LIST_EXTEND              1
2022-11-23T02:04:38.6386139Z 
2022-11-23T02:04:38.6386267Z 1866          54 CALL_METHOD             11
2022-11-23T02:04:38.6386413Z               56 STORE_FAST               3 (convolution_backward_8)
2022-11-23T02:04:38.6386434Z 
2022-11-23T02:04:38.6386596Z 1879          58 LOAD_FAST                3 (convolution_backward_8)
2022-11-23T02:04:38.6386757Z               60 RETURN_VALUE
2022-11-23T02:04:38.6386851Z  
2022-11-23T02:04:38.6386851Z 
2022-11-23T02:04:38.6387281Z [2022-11-23 01:52:14,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1866
2022-11-23T02:04:38.6387602Z [2022-11-23 01:52:14,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.6388053Z [2022-11-23 01:52:14,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.6388519Z [2022-11-23 01:52:14,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:38.6388973Z [2022-11-23 01:52:14,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.6389357Z [2022-11-23 01:52:14,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.convolution_backward)]
2022-11-23T02:04:38.6389763Z [2022-11-23 01:52:14,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1867
2022-11-23T02:04:38.6390180Z [2022-11-23 01:52:14,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.convolution_backward.default)]
2022-11-23T02:04:38.6390596Z [2022-11-23 01:52:14,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1868
2022-11-23T02:04:38.6391035Z [2022-11-23 01:52:14,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST inp [TorchVariable(aten.convolution_backward.default), TensorVariable()]
2022-11-23T02:04:38.6391461Z [2022-11-23 01:52:14,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1869
2022-11-23T02:04:38.6391939Z [2022-11-23 01:52:14,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST weight [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.6392356Z [2022-11-23 01:52:14,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1870
2022-11-23T02:04:38.6392863Z [2022-11-23 01:52:14,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 320 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.6393419Z [2022-11-23 01:52:14,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6393897Z [2022-11-23 01:52:14,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1871
2022-11-23T02:04:38.6394425Z [2022-11-23 01:52:14,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.6395001Z [2022-11-23 01:52:14,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6395685Z [2022-11-23 01:52:14,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.6396109Z [2022-11-23 01:52:14,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1872
2022-11-23T02:04:38.6396666Z [2022-11-23 01:52:14,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6397278Z [2022-11-23 01:52:14,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6398031Z [2022-11-23 01:52:14,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.6398466Z [2022-11-23 01:52:14,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1873
2022-11-23T02:04:38.6399064Z [2022-11-23 01:52:14,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6399711Z [2022-11-23 01:52:14,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6400399Z [2022-11-23 01:52:14,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.6400821Z [2022-11-23 01:52:14,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1874
2022-11-23T02:04:38.6401450Z [2022-11-23 01:52:14,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6401858Z [2022-11-23 01:52:14,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1875
2022-11-23T02:04:38.6402542Z [2022-11-23 01:52:14,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:38.6403261Z [2022-11-23 01:52:14,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T02:04:38.6404040Z [2022-11-23 01:52:14,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.6404530Z [2022-11-23 01:52:14,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1876
2022-11-23T02:04:38.6405240Z [2022-11-23 01:52:14,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T02:04:38.6405658Z [2022-11-23 01:52:14,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1877
2022-11-23T02:04:38.6406410Z [2022-11-23 01:52:14,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6407293Z [2022-11-23 01:52:14,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()]
2022-11-23T02:04:38.6408142Z [2022-11-23 01:52:14,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.6408570Z [2022-11-23 01:52:14,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1866
2022-11-23T02:04:38.6409427Z [2022-11-23 01:52:14,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 11 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()]
2022-11-23T02:04:38.6409784Z [2022-11-23 01:52:14,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convolution_backward_8 [TupleVariable()]
2022-11-23T02:04:38.6410208Z [2022-11-23 01:52:14,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1879
2022-11-23T02:04:38.6410545Z [2022-11-23 01:52:14,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convolution_backward_8 []
2022-11-23T02:04:38.6410877Z [2022-11-23 01:52:14,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6411394Z [2022-11-23 01:52:14,397] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb8d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1865>
2022-11-23T02:04:38.6411729Z [2022-11-23 01:52:14,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6412054Z [2022-11-23 01:52:14,397] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6412400Z [2022-11-23 01:52:14,400] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6412743Z [2022-11-23 01:52:14,407] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6413003Z [2022-11-23 01:52:14,407] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6413182Z  __compiled_fn_57 <eval_with_key>.366 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6413316Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6413442Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.6413569Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:38.6413967Z call_function, convolution_backward_default, aten.convolution_backward.default, (ex_0_, ex_1_, ex_2_, [320], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}
2022-11-23T02:04:38.6414289Z call_function, getitem, <built-in function getitem>, (convolution_backward_default, 0), {}
2022-11-23T02:04:38.6414603Z call_function, getitem_1, <built-in function getitem>, (convolution_backward_default, 1), {}
2022-11-23T02:04:38.6414920Z call_function, getitem_2, <built-in function getitem>, (convolution_backward_default, 2), {}
2022-11-23T02:04:38.6415084Z output, output, output, ((getitem, getitem_1, getitem_2),), {}
2022-11-23T02:04:38.6415107Z 
2022-11-23T02:04:38.6415543Z [2022-11-23 01:52:14,408] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6415676Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6415811Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6415941Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6416797Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6417024Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6417480Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6417663Z              12 RETURN_VALUE
2022-11-23T02:04:38.6417687Z 
2022-11-23T02:04:38.6417840Z  
2022-11-23T02:04:38.6418515Z [2022-11-23 01:52:14,408] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6418675Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_57)
2022-11-23T02:04:38.6418809Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6418946Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6419061Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6419170Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6419308Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6419422Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.6419548Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6419675Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:38.6419789Z              18 BINARY_SUBSCR
2022-11-23T02:04:38.6419916Z              20 CALL_FUNCTION            3
2022-11-23T02:04:38.6420063Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.6420194Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6420323Z              26 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6420438Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.6420583Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6420713Z              32 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6420825Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.6420966Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6421080Z              38 LOAD_CONST               3 (2)
2022-11-23T02:04:38.6421193Z              40 BINARY_SUBSCR
2022-11-23T02:04:38.6421325Z              42 BUILD_TUPLE              3
2022-11-23T02:04:38.6421437Z              44 RETURN_VALUE
2022-11-23T02:04:38.6421457Z 
2022-11-23T02:04:38.6421549Z  
2022-11-23T02:04:38.6421812Z [2022-11-23 01:52:14,410] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6421922Z  - 
2022-11-23T02:04:38.6422073Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6422175Z             {
2022-11-23T02:04:38.6422371Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6422629Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:38.6422800Z                 'obj_weakref': None
2022-11-23T02:04:38.6423112Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6423213Z             }
2022-11-23T02:04:38.6423290Z             
2022-11-23T02:04:38.6423527Z  - 
2022-11-23T02:04:38.6423708Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6423805Z             {
2022-11-23T02:04:38.6424006Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6424159Z                 'code': None,
2022-11-23T02:04:38.6424455Z                 'obj_weakref': <weakref at 0x7fa531ea6e30; to 'Tensor' at 0x7fa5322fa2f0>
2022-11-23T02:04:38.6424786Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6424887Z             }
2022-11-23T02:04:38.6424984Z             
2022-11-23T02:04:38.6425095Z  - 
2022-11-23T02:04:38.6425270Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.6425366Z             {
2022-11-23T02:04:38.6425564Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6425698Z                 'code': None,
2022-11-23T02:04:38.6425986Z                 'obj_weakref': <weakref at 0x7fa531eb36f0; to 'Tensor' at 0x7fa531fc2610>
2022-11-23T02:04:38.6426331Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6426429Z             }
2022-11-23T02:04:38.6426526Z             
2022-11-23T02:04:38.6426631Z  - 
2022-11-23T02:04:38.6426859Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:38.6426942Z             {
2022-11-23T02:04:38.6427143Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6427297Z                 'code': None,
2022-11-23T02:04:38.6427582Z                 'obj_weakref': <weakref at 0x7fa531eb38d0; to 'Tensor' at 0x7fa532045b20>
2022-11-23T02:04:38.6427921Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6428018Z             }
2022-11-23T02:04:38.6428116Z             
2022-11-23T02:04:38.6428202Z  - 
2022-11-23T02:04:38.6428383Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.6428480Z             {
2022-11-23T02:04:38.6428673Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6428906Z                 'code': ['___check_obj_id(model, 140348156247008)'],
2022-11-23T02:04:38.6429076Z                 'obj_weakref': None
2022-11-23T02:04:38.6429387Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.6429466Z             }
2022-11-23T02:04:38.6429561Z             
2022-11-23T02:04:38.6429669Z  - 
2022-11-23T02:04:38.6429840Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6429939Z             {
2022-11-23T02:04:38.6430127Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6430421Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6430572Z                 'obj_weakref': None
2022-11-23T02:04:38.6430874Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6430969Z             }
2022-11-23T02:04:38.6431067Z             
2022-11-23T02:04:38.6431172Z  - 
2022-11-23T02:04:38.6431358Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.6431457Z             {
2022-11-23T02:04:38.6431607Z                 'guard_types': None,
2022-11-23T02:04:38.6431766Z                 'code': None,
2022-11-23T02:04:38.6431933Z                 'obj_weakref': None
2022-11-23T02:04:38.6432103Z                 'guarded_class': None
2022-11-23T02:04:38.6432202Z             }
2022-11-23T02:04:38.6432298Z             
2022-11-23T02:04:38.6432650Z [2022-11-23 01:52:14,422] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 56
2022-11-23T02:04:38.6433123Z [2022-11-23 01:52:17,097] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nf/cnfty2ezrvpvhm7bijai72hfhb3pjc32euslcllg3gshh5dxtduo.py
2022-11-23T02:04:38.6433479Z [2022-11-23 01:52:17,097] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 56
2022-11-23T02:04:38.6433562Z 
2022-11-23T02:04:38.6433704Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6433809Z import torch
2022-11-23T02:04:38.6433916Z import random
2022-11-23T02:04:38.6434080Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6434257Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6434277Z 
2022-11-23T02:04:38.6434398Z aten = torch.ops.aten
2022-11-23T02:04:38.6434567Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6434700Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6434719Z 
2022-11-23T02:04:38.6434738Z 
2022-11-23T02:04:38.6434937Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.6435216Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.6435385Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.6435534Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.6435676Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.6435821Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:38.6435895Z {
2022-11-23T02:04:38.6436038Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.6436135Z     {
2022-11-23T02:04:38.6436322Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.6436450Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:38.6436547Z         {
2022-11-23T02:04:38.6436675Z             for(long i1=0; i1<320; i1+=1)
2022-11-23T02:04:38.6436754Z             {
2022-11-23T02:04:38.6436877Z                 #pragma GCC ivdep
2022-11-23T02:04:38.6437009Z                 for(long i2=0; i2<64; i2+=1)
2022-11-23T02:04:38.6437108Z                 {
2022-11-23T02:04:38.6437210Z                     {
2022-11-23T02:04:38.6437313Z                         {
2022-11-23T02:04:38.6437457Z                             auto tmp0 = in_ptr0[i2 + (64*i1) + (20480*i0)];
2022-11-23T02:04:38.6437608Z                             out_ptr0[i1 + (320*i2) + (20480*i0)] = tmp0;
2022-11-23T02:04:38.6437716Z                         }
2022-11-23T02:04:38.6437817Z                     }
2022-11-23T02:04:38.6437918Z                 }
2022-11-23T02:04:38.6438015Z             }
2022-11-23T02:04:38.6438113Z         }
2022-11-23T02:04:38.6438231Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.6438350Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:38.6438445Z         {
2022-11-23T02:04:38.6438621Z             for(long i1=0; i1<2048; i1+=1)
2022-11-23T02:04:38.6438718Z             {
2022-11-23T02:04:38.6438793Z                 #pragma GCC ivdep
2022-11-23T02:04:38.6438972Z                 for(long i2=0; i2<64; i2+=1)
2022-11-23T02:04:38.6439054Z                 {
2022-11-23T02:04:38.6439108Z                     {
2022-11-23T02:04:38.6439227Z                         {
2022-11-23T02:04:38.6439372Z                             auto tmp0 = in_ptr1[i2 + (64*i1) + (131072*i0)];
2022-11-23T02:04:38.6439529Z                             out_ptr1[i1 + (2048*i2) + (131072*i0)] = tmp0;
2022-11-23T02:04:38.6439641Z                         }
2022-11-23T02:04:38.6439740Z                     }
2022-11-23T02:04:38.6439819Z                 }
2022-11-23T02:04:38.6439917Z             }
2022-11-23T02:04:38.6440012Z         }
2022-11-23T02:04:38.6440110Z     }
2022-11-23T02:04:38.6440207Z }
2022-11-23T02:04:38.6440336Z ''')
2022-11-23T02:04:38.6440356Z 
2022-11-23T02:04:38.6440374Z 
2022-11-23T02:04:38.6440508Z async_compile.wait(globals())
2022-11-23T02:04:38.6440598Z del async_compile
2022-11-23T02:04:38.6440617Z 
2022-11-23T02:04:38.6440723Z def call(args):
2022-11-23T02:04:38.6440843Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:38.6440955Z     args.clear()
2022-11-23T02:04:38.6441270Z     buf0 = empty_strided((2, 320, 8, 8), (20480, 1, 2560, 320), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6441578Z     buf1 = empty_strided((2, 2048, 8, 8), (131072, 1, 16384, 2048), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6441846Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.6442028Z     del arg0_1
2022-11-23T02:04:38.6442111Z     del arg1_1
2022-11-23T02:04:38.6442344Z     buf2 = aten.convolution_backward(buf0, buf1, arg2_1, [320], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True])
2022-11-23T02:04:38.6442449Z     del arg2_1
2022-11-23T02:04:38.6442550Z     del buf0
2022-11-23T02:04:38.6442651Z     del buf1
2022-11-23T02:04:38.6442759Z     buf3 = buf2[0]
2022-11-23T02:04:38.6442923Z     assert_size_stride(buf3, (2, 2048, 8, 8), (131072, 1, 16384, 2048))
2022-11-23T02:04:38.6443009Z     buf4 = buf2[1]
2022-11-23T02:04:38.6443170Z     assert_size_stride(buf4, (320, 2048, 1, 1), (2048, 1, 2048, 2048))
2022-11-23T02:04:38.6443277Z     buf5 = buf2[2]
2022-11-23T02:04:38.6443417Z     assert_size_stride(buf5, (320, ), (1, ))
2022-11-23T02:04:38.6443518Z     del buf2
2022-11-23T02:04:38.6443639Z     return (buf3, buf4, buf5, )
2022-11-23T02:04:38.6443658Z 
2022-11-23T02:04:38.6443681Z 
2022-11-23T02:04:38.6443797Z if __name__ == "__main__":
2022-11-23T02:04:38.6443939Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6444118Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6444486Z     arg0_1 = rand_strided((2, 320, 8, 8), (20480, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6444795Z     arg1_1 = rand_strided((2, 2048, 8, 8), (131072, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6445103Z     arg2_1 = rand_strided((320, 2048, 1, 1), (2048, 1, 2048, 2048), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6445281Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:38.6445301Z 
2022-11-23T02:04:38.6445405Z ok (2.763s)
2022-11-23T02:04:38.6445671Z   test_conv2d_binary_cpu (__main__.CpuTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T02:04:38.6446117Z   test_conv2d_channels_last_cpu (__main__.CpuTests) ... [2022-11-23 01:52:17,127] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6446534Z [2022-11-23 01:52:17,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6446829Z [2022-11-23 01:52:17,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6447164Z [2022-11-23 01:52:17,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.6447523Z [2022-11-23 01:52:17,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.6447942Z [2022-11-23 01:52:17,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6448395Z [2022-11-23 01:52:17,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6448821Z [2022-11-23 01:52:17,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6449338Z [2022-11-23 01:52:17,135] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T02:04:38.6449472Z  170           0 LOAD_FAST                1 (x)
2022-11-23T02:04:38.6449606Z               2 BUILD_TUPLE              1
2022-11-23T02:04:38.6449726Z               4 RETURN_VALUE
2022-11-23T02:04:38.6449808Z  
2022-11-23T02:04:38.6449867Z 
2022-11-23T02:04:38.6450237Z [2022-11-23 01:52:17,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T02:04:38.6450520Z [2022-11-23 01:52:17,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:38.6450923Z [2022-11-23 01:52:17,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.6451304Z [2022-11-23 01:52:17,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6451779Z [2022-11-23 01:52:17,136] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T02:04:38.6452108Z [2022-11-23 01:52:17,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6452429Z [2022-11-23 01:52:17,136] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6452758Z [2022-11-23 01:52:17,138] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6453096Z [2022-11-23 01:52:17,146] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6453363Z [2022-11-23 01:52:17,147] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6453560Z  __compiled_fn_58 <eval_with_key>.372 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6453691Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6453887Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.6454034Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.6454055Z 
2022-11-23T02:04:38.6454498Z [2022-11-23 01:52:17,147] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6454617Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6454752Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6454880Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6455018Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6455144Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6455283Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6455401Z              12 RETURN_VALUE
2022-11-23T02:04:38.6455421Z 
2022-11-23T02:04:38.6455494Z  
2022-11-23T02:04:38.6455934Z [2022-11-23 01:52:17,148] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6456546Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_58)
2022-11-23T02:04:38.6456776Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6456987Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6457173Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6457380Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.6457624Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.6457839Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6458051Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6458201Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.6458330Z              18 BUILD_TUPLE              1
2022-11-23T02:04:38.6458441Z              20 RETURN_VALUE
2022-11-23T02:04:38.6458462Z 
2022-11-23T02:04:38.6467109Z  
2022-11-23T02:04:38.6467540Z [2022-11-23 01:52:17,149] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6467655Z  - 
2022-11-23T02:04:38.6467829Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6467936Z             {
2022-11-23T02:04:38.6468124Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6468391Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.6468565Z                 'obj_weakref': None
2022-11-23T02:04:38.6468880Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6468982Z             }
2022-11-23T02:04:38.6469081Z             
2022-11-23T02:04:38.6469194Z  - 
2022-11-23T02:04:38.6469355Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6469817Z             {
2022-11-23T02:04:38.6470028Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6470186Z                 'code': None,
2022-11-23T02:04:38.6470479Z                 'obj_weakref': <weakref at 0x7fa531eb3830; to 'Tensor' at 0x7fa53222ed40>
2022-11-23T02:04:38.6470829Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6470932Z             }
2022-11-23T02:04:38.6471010Z             
2022-11-23T02:04:38.6471121Z  - 
2022-11-23T02:04:38.6471295Z             local 'model' NN_MODULE
2022-11-23T02:04:38.6471399Z             {
2022-11-23T02:04:38.6471591Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6471831Z                 'code': ['___check_obj_id(model, 140347485198880)'],
2022-11-23T02:04:38.6472137Z                 'obj_weakref': <weakref at 0x7fa531eb08b0; to 'Sequential' at 0x7fa532001a20>
2022-11-23T02:04:38.6472437Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.6472547Z             }
2022-11-23T02:04:38.6472650Z             
2022-11-23T02:04:38.6472759Z  - 
2022-11-23T02:04:38.6472934Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6473039Z             {
2022-11-23T02:04:38.6473373Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6473667Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6473838Z                 'obj_weakref': None
2022-11-23T02:04:38.6474146Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6474247Z             }
2022-11-23T02:04:38.6474347Z             
2022-11-23T02:04:38.6474454Z  - 
2022-11-23T02:04:38.6474662Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.6474740Z             {
2022-11-23T02:04:38.6474911Z                 'guard_types': None,
2022-11-23T02:04:38.6475077Z                 'code': None,
2022-11-23T02:04:38.6475248Z                 'obj_weakref': None
2022-11-23T02:04:38.6475423Z                 'guarded_class': None
2022-11-23T02:04:38.6475525Z             }
2022-11-23T02:04:38.6475602Z             
2022-11-23T02:04:38.6475712Z  - 
2022-11-23T02:04:38.6475922Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.6476023Z             {
2022-11-23T02:04:38.6476196Z                 'guard_types': None,
2022-11-23T02:04:38.6476351Z                 'code': None,
2022-11-23T02:04:38.6476524Z                 'obj_weakref': None
2022-11-23T02:04:38.6476675Z                 'guarded_class': None
2022-11-23T02:04:38.6476776Z             }
2022-11-23T02:04:38.6476882Z             
2022-11-23T02:04:38.6477240Z [2022-11-23 01:52:17,181] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 57
2022-11-23T02:04:38.6477746Z [2022-11-23 01:52:19,802] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nv/cnvvxi2yhdxapxsnzcftphl3kzj54uxwxofeloxps6xvhofofvsb.py
2022-11-23T02:04:38.6478109Z [2022-11-23 01:52:19,802] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 57
2022-11-23T02:04:38.6478439Z [2022-11-23 01:52:19,808] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6478865Z [2022-11-23 01:52:19,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6479169Z [2022-11-23 01:52:19,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6479480Z [2022-11-23 01:52:19,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.6479846Z [2022-11-23 01:52:19,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.6480272Z [2022-11-23 01:52:19,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6480804Z [2022-11-23 01:52:19,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6481227Z [2022-11-23 01:52:19,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6481745Z [2022-11-23 01:52:19,816] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T02:04:38.6481882Z  170           0 LOAD_FAST                1 (x)
2022-11-23T02:04:38.6482018Z               2 BUILD_TUPLE              1
2022-11-23T02:04:38.6482140Z               4 RETURN_VALUE
2022-11-23T02:04:38.6482216Z  
2022-11-23T02:04:38.6482243Z 
2022-11-23T02:04:38.6482674Z [2022-11-23 01:52:19,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T02:04:38.6482973Z [2022-11-23 01:52:19,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:38.6483356Z [2022-11-23 01:52:19,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.6483705Z [2022-11-23 01:52:19,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6484226Z [2022-11-23 01:52:19,817] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T02:04:38.6484565Z [2022-11-23 01:52:19,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6484988Z [2022-11-23 01:52:19,817] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6485343Z [2022-11-23 01:52:19,819] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6485666Z [2022-11-23 01:52:19,827] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6485942Z [2022-11-23 01:52:19,828] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6486139Z  __compiled_fn_59 <eval_with_key>.383 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6486274Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6486421Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.6486600Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.6486600Z 
2022-11-23T02:04:38.6487023Z [2022-11-23 01:52:19,828] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6487168Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6487304Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6487417Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6487556Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6487686Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6487819Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6487938Z              12 RETURN_VALUE
2022-11-23T02:04:38.6487958Z 
2022-11-23T02:04:38.6488053Z  
2022-11-23T02:04:38.6488490Z [2022-11-23 01:52:19,829] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6488628Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_59)
2022-11-23T02:04:38.6488764Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6488904Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6489021Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6489151Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.6489301Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.6489525Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6489699Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6489819Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.6489958Z              18 BUILD_TUPLE              1
2022-11-23T02:04:38.6490075Z              20 RETURN_VALUE
2022-11-23T02:04:38.6490094Z 
2022-11-23T02:04:38.6490189Z  
2022-11-23T02:04:38.6490454Z [2022-11-23 01:52:19,830] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6490569Z  - 
2022-11-23T02:04:38.6490741Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6490820Z             {
2022-11-23T02:04:38.6491023Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6491281Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.6491455Z                 'obj_weakref': None
2022-11-23T02:04:38.6491765Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6491871Z             }
2022-11-23T02:04:38.6491971Z             
2022-11-23T02:04:38.6492059Z  - 
2022-11-23T02:04:38.6492237Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6492341Z             {
2022-11-23T02:04:38.6492604Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6492773Z                 'code': None,
2022-11-23T02:04:38.6493066Z                 'obj_weakref': <weakref at 0x7fa532024680; to 'Tensor' at 0x7fa532089030>
2022-11-23T02:04:38.6493415Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6493493Z             }
2022-11-23T02:04:38.6493597Z             
2022-11-23T02:04:38.6493709Z  - 
2022-11-23T02:04:38.6493881Z             local 'model' NN_MODULE
2022-11-23T02:04:38.6493984Z             {
2022-11-23T02:04:38.6494181Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6494426Z                 'code': ['___check_obj_id(model, 140347485198880)'],
2022-11-23T02:04:38.6494716Z                 'obj_weakref': <weakref at 0x7fa531eb08b0; to 'Sequential' at 0x7fa532001a20>
2022-11-23T02:04:38.6495042Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.6495149Z             }
2022-11-23T02:04:38.6495249Z             
2022-11-23T02:04:38.6495361Z  - 
2022-11-23T02:04:38.6495539Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6495641Z             {
2022-11-23T02:04:38.6495815Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6496812Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6497149Z                 'obj_weakref': None
2022-11-23T02:04:38.6497672Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6497830Z             }
2022-11-23T02:04:38.6497987Z             
2022-11-23T02:04:38.6498171Z  - 
2022-11-23T02:04:38.6498431Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.6498550Z             {
2022-11-23T02:04:38.6498725Z                 'guard_types': None,
2022-11-23T02:04:38.6498882Z                 'code': None,
2022-11-23T02:04:38.6499033Z                 'obj_weakref': None
2022-11-23T02:04:38.6499208Z                 'guarded_class': None
2022-11-23T02:04:38.6499311Z             }
2022-11-23T02:04:38.6499415Z             
2022-11-23T02:04:38.6499525Z  - 
2022-11-23T02:04:38.6499730Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.6499831Z             {
2022-11-23T02:04:38.6499982Z                 'guard_types': None,
2022-11-23T02:04:38.6500141Z                 'code': None,
2022-11-23T02:04:38.6500317Z                 'obj_weakref': None
2022-11-23T02:04:38.6500494Z                 'guarded_class': None
2022-11-23T02:04:38.6500591Z             }
2022-11-23T02:04:38.6500688Z             
2022-11-23T02:04:38.6501049Z [2022-11-23 01:52:19,862] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 58
2022-11-23T02:04:38.6501729Z [2022-11-23 01:52:19,870] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xb/cxbj3hirr7xylvclh7isjhyntuhkerp4gp7njbdfg5mg3vqew5ky.py
2022-11-23T02:04:38.6502093Z [2022-11-23 01:52:19,870] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 58
2022-11-23T02:04:38.6502422Z [2022-11-23 01:52:19,877] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6502849Z [2022-11-23 01:52:19,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6503150Z [2022-11-23 01:52:19,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6503481Z [2022-11-23 01:52:19,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.6503854Z [2022-11-23 01:52:19,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.6504274Z [2022-11-23 01:52:19,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6504818Z [2022-11-23 01:52:19,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6505251Z [2022-11-23 01:52:19,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6505741Z [2022-11-23 01:52:19,884] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T02:04:38.6505882Z  170           0 LOAD_FAST                1 (x)
2022-11-23T02:04:38.6506017Z               2 BUILD_TUPLE              1
2022-11-23T02:04:38.6506142Z               4 RETURN_VALUE
2022-11-23T02:04:38.6506239Z  
2022-11-23T02:04:38.6506261Z 
2022-11-23T02:04:38.6506692Z [2022-11-23 01:52:19,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T02:04:38.6506987Z [2022-11-23 01:52:19,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:38.6507319Z [2022-11-23 01:52:19,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.6507661Z [2022-11-23 01:52:19,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6508158Z [2022-11-23 01:52:19,885] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T02:04:38.6508496Z [2022-11-23 01:52:19,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6508825Z [2022-11-23 01:52:19,885] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6509182Z [2022-11-23 01:52:19,887] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6509525Z [2022-11-23 01:52:19,895] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6509793Z [2022-11-23 01:52:19,896] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6509987Z  __compiled_fn_60 <eval_with_key>.394 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6510123Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6510247Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.6510394Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.6510414Z 
2022-11-23T02:04:38.6510855Z [2022-11-23 01:52:19,896] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6511067Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6511208Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6511340Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6511482Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6511617Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6511728Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6511845Z              12 RETURN_VALUE
2022-11-23T02:04:38.6511865Z 
2022-11-23T02:04:38.6511963Z  
2022-11-23T02:04:38.6512404Z [2022-11-23 01:52:19,897] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6512564Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_60)
2022-11-23T02:04:38.6512698Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6512840Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6512966Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6513075Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.6513230Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.6513458Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6513604Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6513722Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.6513855Z              18 BUILD_TUPLE              1
2022-11-23T02:04:38.6513970Z              20 RETURN_VALUE
2022-11-23T02:04:38.6513989Z 
2022-11-23T02:04:38.6514063Z  
2022-11-23T02:04:38.6514331Z [2022-11-23 01:52:19,898] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6514447Z  - 
2022-11-23T02:04:38.6514623Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6514724Z             {
2022-11-23T02:04:38.6514927Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6515195Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.6515347Z                 'obj_weakref': None
2022-11-23T02:04:38.6515662Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6515768Z             }
2022-11-23T02:04:38.6515874Z             
2022-11-23T02:04:38.6515984Z  - 
2022-11-23T02:04:38.6516166Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6516268Z             {
2022-11-23T02:04:38.6516448Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6516607Z                 'code': None,
2022-11-23T02:04:38.6516903Z                 'obj_weakref': <weakref at 0x7fa5320442c0; to 'Tensor' at 0x7fa53222ed40>
2022-11-23T02:04:38.6517248Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6517350Z             }
2022-11-23T02:04:38.6517452Z             
2022-11-23T02:04:38.6517571Z  - 
2022-11-23T02:04:38.6517724Z             local 'model' NN_MODULE
2022-11-23T02:04:38.6517828Z             {
2022-11-23T02:04:38.6518020Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6518255Z                 'code': ['___check_obj_id(model, 140347485198880)'],
2022-11-23T02:04:38.6518564Z                 'obj_weakref': <weakref at 0x7fa531eb08b0; to 'Sequential' at 0x7fa532001a20>
2022-11-23T02:04:38.6518896Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.6518994Z             }
2022-11-23T02:04:38.6519071Z             
2022-11-23T02:04:38.6519186Z  - 
2022-11-23T02:04:38.6519364Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6519469Z             {
2022-11-23T02:04:38.6519660Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6519963Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6520141Z                 'obj_weakref': None
2022-11-23T02:04:38.6520519Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6520620Z             }
2022-11-23T02:04:38.6520721Z             
2022-11-23T02:04:38.6520832Z  - 
2022-11-23T02:04:38.6521045Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.6521149Z             {
2022-11-23T02:04:38.6521328Z                 'guard_types': None,
2022-11-23T02:04:38.6521464Z                 'code': None,
2022-11-23T02:04:38.6521637Z                 'obj_weakref': None
2022-11-23T02:04:38.6521809Z                 'guarded_class': None
2022-11-23T02:04:38.6521908Z             }
2022-11-23T02:04:38.6522011Z             
2022-11-23T02:04:38.6522119Z  - 
2022-11-23T02:04:38.6522321Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.6522400Z             {
2022-11-23T02:04:38.6522568Z                 'guard_types': None,
2022-11-23T02:04:38.6522729Z                 'code': None,
2022-11-23T02:04:38.6522912Z                 'obj_weakref': None
2022-11-23T02:04:38.6523086Z                 'guarded_class': None
2022-11-23T02:04:38.6523190Z             }
2022-11-23T02:04:38.6523289Z             
2022-11-23T02:04:38.6523681Z [2022-11-23 01:52:19,930] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 59
2022-11-23T02:04:38.6524189Z [2022-11-23 01:52:19,937] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xb/cxbj3hirr7xylvclh7isjhyntuhkerp4gp7njbdfg5mg3vqew5ky.py
2022-11-23T02:04:38.6524550Z [2022-11-23 01:52:19,937] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 59
2022-11-23T02:04:38.6524570Z 
2022-11-23T02:04:38.6524713Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6524826Z import torch
2022-11-23T02:04:38.6524937Z import random
2022-11-23T02:04:38.6525103Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6525279Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6525305Z 
2022-11-23T02:04:38.6525403Z aten = torch.ops.aten
2022-11-23T02:04:38.6525593Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6525736Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6525755Z 
2022-11-23T02:04:38.6525776Z 
2022-11-23T02:04:38.6525980Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.6526261Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.6526434Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.6526583Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.6526677Z {
2022-11-23T02:04:38.6526800Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.6526901Z     {
2022-11-23T02:04:38.6527034Z         #pragma omp for  collapse(3)
2022-11-23T02:04:38.6527160Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:38.6527262Z         {
2022-11-23T02:04:38.6527398Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:38.6527481Z             {
2022-11-23T02:04:38.6527618Z                 for(long i2=0; i2<256; i2+=1)
2022-11-23T02:04:38.6527722Z                 {
2022-11-23T02:04:38.6527827Z                     {
2022-11-23T02:04:38.6527938Z                         {
2022-11-23T02:04:38.6528109Z                             auto tmp0 = in_ptr0[i2 + (256*i1) + (768*i0)];
2022-11-23T02:04:38.6528268Z                             out_ptr0[i1 + (3*i2) + (768*i0)] = tmp0;
2022-11-23T02:04:38.6528354Z                         }
2022-11-23T02:04:38.6528459Z                     }
2022-11-23T02:04:38.6528561Z                 }
2022-11-23T02:04:38.6528669Z             }
2022-11-23T02:04:38.6528770Z         }
2022-11-23T02:04:38.6528871Z     }
2022-11-23T02:04:38.6528967Z }
2022-11-23T02:04:38.6529077Z ''')
2022-11-23T02:04:38.6529097Z 
2022-11-23T02:04:38.6529115Z 
2022-11-23T02:04:38.6529255Z async_compile.wait(globals())
2022-11-23T02:04:38.6529372Z del async_compile
2022-11-23T02:04:38.6529391Z 
2022-11-23T02:04:38.6529508Z def call(args):
2022-11-23T02:04:38.6529745Z     primals_1, primals_2, primals_3 = args
2022-11-23T02:04:38.6529858Z     args.clear()
2022-11-23T02:04:38.6530163Z     buf0 = empty_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6530366Z     kernel_cpp_0(c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.6530554Z     buf1 = aten.convolution(buf0, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T02:04:38.6530715Z     assert_size_stride(buf1, (2, 3, 16, 16), (768, 1, 48, 3))
2022-11-23T02:04:38.6530820Z     del buf0
2022-11-23T02:04:38.6530932Z     del primals_2
2022-11-23T02:04:38.6531085Z     return (buf1, primals_1, primals_3, )
2022-11-23T02:04:38.6531105Z 
2022-11-23T02:04:38.6531123Z 
2022-11-23T02:04:38.6531242Z if __name__ == "__main__":
2022-11-23T02:04:38.6531407Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6531562Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6531868Z     primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6532142Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6532507Z     primals_3 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6532713Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T02:04:38.6532733Z 
2022-11-23T02:04:38.6532751Z 
2022-11-23T02:04:38.6532890Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6533000Z import torch
2022-11-23T02:04:38.6533114Z import random
2022-11-23T02:04:38.6533260Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6533435Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6533455Z 
2022-11-23T02:04:38.6533576Z aten = torch.ops.aten
2022-11-23T02:04:38.6533769Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6533909Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6533933Z 
2022-11-23T02:04:38.6533952Z 
2022-11-23T02:04:38.6534088Z async_compile.wait(globals())
2022-11-23T02:04:38.6534197Z del async_compile
2022-11-23T02:04:38.6534215Z 
2022-11-23T02:04:38.6534327Z def call(args):
2022-11-23T02:04:38.6534484Z     primals_1, primals_2, primals_3 = args
2022-11-23T02:04:38.6534573Z     args.clear()
2022-11-23T02:04:38.6534792Z     buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T02:04:38.6534949Z     assert_size_stride(buf0, (2, 3, 16, 16), (768, 1, 48, 3))
2022-11-23T02:04:38.6535064Z     del primals_2
2022-11-23T02:04:38.6535210Z     return (buf0, primals_1, primals_3, )
2022-11-23T02:04:38.6535230Z 
2022-11-23T02:04:38.6535248Z 
2022-11-23T02:04:38.6535370Z if __name__ == "__main__":
2022-11-23T02:04:38.6535537Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6535690Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6536011Z     primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6537068Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6537585Z     primals_3 = rand_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6537924Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T02:04:38.6537955Z 
2022-11-23T02:04:38.6537981Z 
2022-11-23T02:04:38.6538213Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6538381Z import torch
2022-11-23T02:04:38.6538496Z import random
2022-11-23T02:04:38.6538644Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6538821Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6538840Z 
2022-11-23T02:04:38.6538967Z aten = torch.ops.aten
2022-11-23T02:04:38.6539160Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6539296Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6539482Z 
2022-11-23T02:04:38.6539500Z 
2022-11-23T02:04:38.6539645Z async_compile.wait(globals())
2022-11-23T02:04:38.6539760Z del async_compile
2022-11-23T02:04:38.6539779Z 
2022-11-23T02:04:38.6539891Z def call(args):
2022-11-23T02:04:38.6540022Z     primals_1, primals_2, primals_3 = args
2022-11-23T02:04:38.6540134Z     args.clear()
2022-11-23T02:04:38.6540351Z     buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T02:04:38.6540509Z     assert_size_stride(buf0, (2, 3, 16, 16), (768, 1, 48, 3))
2022-11-23T02:04:38.6540622Z     del primals_2
2022-11-23T02:04:38.6540765Z     return (buf0, primals_1, primals_3, )
2022-11-23T02:04:38.6540785Z 
2022-11-23T02:04:38.6540803Z 
2022-11-23T02:04:38.6540920Z if __name__ == "__main__":
2022-11-23T02:04:38.6541085Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6541237Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6541556Z     primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6541833Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6542345Z     primals_3 = rand_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6542554Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T02:04:38.6542574Z 
2022-11-23T02:04:38.6542682Z ok (2.820s)
2022-11-23T02:04:38.6542951Z   test_conv2d_unary_cpu (__main__.CpuTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T02:04:38.6543400Z   test_conv3d_channels_last_cpu (__main__.CpuTests) ... [2022-11-23 01:52:19,949] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6543825Z [2022-11-23 01:52:19,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6544108Z [2022-11-23 01:52:19,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6544448Z [2022-11-23 01:52:19,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.6544818Z [2022-11-23 01:52:19,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.6545250Z [2022-11-23 01:52:19,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6545697Z [2022-11-23 01:52:19,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6546118Z [2022-11-23 01:52:19,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6546632Z [2022-11-23 01:52:19,957] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T02:04:38.6546774Z  170           0 LOAD_FAST                1 (x)
2022-11-23T02:04:38.6546912Z               2 BUILD_TUPLE              1
2022-11-23T02:04:38.6547041Z               4 RETURN_VALUE
2022-11-23T02:04:38.6547118Z  
2022-11-23T02:04:38.6547138Z 
2022-11-23T02:04:38.6547566Z [2022-11-23 01:52:19,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T02:04:38.6547856Z [2022-11-23 01:52:19,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:38.6548196Z [2022-11-23 01:52:19,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.6548535Z [2022-11-23 01:52:19,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6549056Z [2022-11-23 01:52:19,958] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T02:04:38.6549466Z [2022-11-23 01:52:19,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6549796Z [2022-11-23 01:52:19,958] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6550143Z [2022-11-23 01:52:19,960] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6550465Z [2022-11-23 01:52:19,971] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6550728Z [2022-11-23 01:52:19,972] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6550925Z  __compiled_fn_61 <eval_with_key>.405 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6551060Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6551213Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.6551361Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.6551381Z 
2022-11-23T02:04:38.6551901Z [2022-11-23 01:52:19,972] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6552052Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6552164Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6552296Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6552435Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6552563Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6552696Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6552815Z              12 RETURN_VALUE
2022-11-23T02:04:38.6552835Z 
2022-11-23T02:04:38.6552932Z  
2022-11-23T02:04:38.6553371Z [2022-11-23 01:52:19,972] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6553514Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_61)
2022-11-23T02:04:38.6553654Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6553798Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6553917Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6554048Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.6554203Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.6554353Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6554465Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6554627Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.6554758Z              18 BUILD_TUPLE              1
2022-11-23T02:04:38.6554876Z              20 RETURN_VALUE
2022-11-23T02:04:38.6554897Z 
2022-11-23T02:04:38.6554997Z  
2022-11-23T02:04:38.6555255Z [2022-11-23 01:52:19,974] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6555372Z  - 
2022-11-23T02:04:38.6555522Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6555627Z             {
2022-11-23T02:04:38.6555827Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6556094Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.6556272Z                 'obj_weakref': None
2022-11-23T02:04:38.6556583Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6556681Z             }
2022-11-23T02:04:38.6556758Z             
2022-11-23T02:04:38.6556878Z  - 
2022-11-23T02:04:38.6557064Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6557165Z             {
2022-11-23T02:04:38.6557372Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6557534Z                 'code': None,
2022-11-23T02:04:38.6557829Z                 'obj_weakref': <weakref at 0x7fa531ea4b80; to 'Tensor' at 0x7fa5320f4cc0>
2022-11-23T02:04:38.6558222Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6558326Z             }
2022-11-23T02:04:38.6558426Z             
2022-11-23T02:04:38.6558539Z  - 
2022-11-23T02:04:38.6558720Z             local 'model' NN_MODULE
2022-11-23T02:04:38.6558823Z             {
2022-11-23T02:04:38.6559015Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6559232Z                 'code': ['___check_obj_id(model, 140351385507520)'],
2022-11-23T02:04:38.6559533Z                 'obj_weakref': <weakref at 0x7fa532027740; to 'Sequential' at 0x7fa61a7a16c0>
2022-11-23T02:04:38.6559863Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.6559965Z             }
2022-11-23T02:04:38.6560065Z             
2022-11-23T02:04:38.6560174Z  - 
2022-11-23T02:04:38.6560352Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6560435Z             {
2022-11-23T02:04:38.6560631Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6560932Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6561110Z                 'obj_weakref': None
2022-11-23T02:04:38.6561482Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6561589Z             }
2022-11-23T02:04:38.6561689Z             
2022-11-23T02:04:38.6561778Z  - 
2022-11-23T02:04:38.6561987Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.6562087Z             {
2022-11-23T02:04:38.6562263Z                 'guard_types': None,
2022-11-23T02:04:38.6562421Z                 'code': None,
2022-11-23T02:04:38.6562593Z                 'obj_weakref': None
2022-11-23T02:04:38.6562768Z                 'guarded_class': None
2022-11-23T02:04:38.6562847Z             }
2022-11-23T02:04:38.6562951Z             
2022-11-23T02:04:38.6563070Z  - 
2022-11-23T02:04:38.6563277Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.6563380Z             {
2022-11-23T02:04:38.6563554Z                 'guard_types': None,
2022-11-23T02:04:38.6563708Z                 'code': None,
2022-11-23T02:04:38.6563859Z                 'obj_weakref': None
2022-11-23T02:04:38.6564035Z                 'guarded_class': None
2022-11-23T02:04:38.6564136Z             }
2022-11-23T02:04:38.6564239Z             
2022-11-23T02:04:38.6564596Z [2022-11-23 01:52:20,007] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 60
2022-11-23T02:04:38.6565092Z [2022-11-23 01:52:22,666] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yn/cynvmkq3ktiljtnyrvxieo6yda734eg6tavxzattszlact5mhu4s.py
2022-11-23T02:04:38.6565454Z [2022-11-23 01:52:22,667] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 60
2022-11-23T02:04:38.6565785Z [2022-11-23 01:52:22,675] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6566193Z [2022-11-23 01:52:22,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6566501Z [2022-11-23 01:52:22,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6566844Z [2022-11-23 01:52:22,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.6567212Z [2022-11-23 01:52:22,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.6567634Z [2022-11-23 01:52:22,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6568089Z [2022-11-23 01:52:22,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6568593Z [2022-11-23 01:52:22,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6569109Z [2022-11-23 01:52:22,683] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T02:04:38.6569249Z  170           0 LOAD_FAST                1 (x)
2022-11-23T02:04:38.6569448Z               2 BUILD_TUPLE              1
2022-11-23T02:04:38.6569544Z               4 RETURN_VALUE
2022-11-23T02:04:38.6569640Z  
2022-11-23T02:04:38.6569660Z 
2022-11-23T02:04:38.6570089Z [2022-11-23 01:52:22,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T02:04:38.6570376Z [2022-11-23 01:52:22,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:38.6570712Z [2022-11-23 01:52:22,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.6571056Z [2022-11-23 01:52:22,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6571637Z [2022-11-23 01:52:22,683] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T02:04:38.6571987Z [2022-11-23 01:52:22,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6572313Z [2022-11-23 01:52:22,683] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6572636Z [2022-11-23 01:52:22,685] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6572981Z [2022-11-23 01:52:22,694] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6573251Z [2022-11-23 01:52:22,694] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6573458Z  __compiled_fn_62 <eval_with_key>.416 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6573594Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6573750Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.6573909Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.6573929Z 
2022-11-23T02:04:38.6574377Z [2022-11-23 01:52:22,695] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6574500Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6574639Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6574773Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6574918Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6575052Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6575187Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6575307Z              12 RETURN_VALUE
2022-11-23T02:04:38.6575327Z 
2022-11-23T02:04:38.6575400Z  
2022-11-23T02:04:38.6575840Z [2022-11-23 01:52:22,695] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6576004Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_62)
2022-11-23T02:04:38.6576705Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6576939Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6577116Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6577344Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.6577508Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.6577636Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6577771Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6577895Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.6578218Z              18 BUILD_TUPLE              1
2022-11-23T02:04:38.6578335Z              20 RETURN_VALUE
2022-11-23T02:04:38.6578355Z 
2022-11-23T02:04:38.6578452Z  
2022-11-23T02:04:38.6578744Z [2022-11-23 01:52:22,696] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6578833Z  - 
2022-11-23T02:04:38.6579016Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6579120Z             {
2022-11-23T02:04:38.6579318Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6579578Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.6579759Z                 'obj_weakref': None
2022-11-23T02:04:38.6580073Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6580153Z             }
2022-11-23T02:04:38.6580255Z             
2022-11-23T02:04:38.6580363Z  - 
2022-11-23T02:04:38.6580544Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6580644Z             {
2022-11-23T02:04:38.6580853Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6581013Z                 'code': None,
2022-11-23T02:04:38.6581281Z                 'obj_weakref': <weakref at 0x7fa531e6d8a0; to 'Tensor' at 0x7fa532088900>
2022-11-23T02:04:38.6581718Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6581826Z             }
2022-11-23T02:04:38.6581929Z             
2022-11-23T02:04:38.6582041Z  - 
2022-11-23T02:04:38.6582216Z             local 'model' NN_MODULE
2022-11-23T02:04:38.6582322Z             {
2022-11-23T02:04:38.6582494Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6582730Z                 'code': ['___check_obj_id(model, 140351385507520)'],
2022-11-23T02:04:38.6583031Z                 'obj_weakref': <weakref at 0x7fa532027740; to 'Sequential' at 0x7fa61a7a16c0>
2022-11-23T02:04:38.6583355Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.6583463Z             }
2022-11-23T02:04:38.6583567Z             
2022-11-23T02:04:38.6583678Z  - 
2022-11-23T02:04:38.6583832Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6583934Z             {
2022-11-23T02:04:38.6584132Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6584433Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6584605Z                 'obj_weakref': None
2022-11-23T02:04:38.6584970Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6585073Z             }
2022-11-23T02:04:38.6585153Z             
2022-11-23T02:04:38.6585264Z  - 
2022-11-23T02:04:38.6585468Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.6585570Z             {
2022-11-23T02:04:38.6585749Z                 'guard_types': None,
2022-11-23T02:04:38.6585905Z                 'code': None,
2022-11-23T02:04:38.6586083Z                 'obj_weakref': None
2022-11-23T02:04:38.6586235Z                 'guarded_class': None
2022-11-23T02:04:38.6586342Z             }
2022-11-23T02:04:38.6586442Z             
2022-11-23T02:04:38.6586553Z  - 
2022-11-23T02:04:38.6586759Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.6586862Z             {
2022-11-23T02:04:38.6587036Z                 'guard_types': None,
2022-11-23T02:04:38.6587169Z                 'code': None,
2022-11-23T02:04:38.6587344Z                 'obj_weakref': None
2022-11-23T02:04:38.6587515Z                 'guarded_class': None
2022-11-23T02:04:38.6587617Z             }
2022-11-23T02:04:38.6587720Z             
2022-11-23T02:04:38.6588079Z [2022-11-23 01:52:22,728] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 61
2022-11-23T02:04:38.6588578Z [2022-11-23 01:52:25,364] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ib/cibrbx6l5we7vjcpmfkm4wpcnfki66catvgh5nqyjizobyptqdkl.py
2022-11-23T02:04:38.6588987Z [2022-11-23 01:52:25,365] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 61
2022-11-23T02:04:38.6589316Z [2022-11-23 01:52:25,373] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6589746Z [2022-11-23 01:52:25,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6590051Z [2022-11-23 01:52:25,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6590376Z [2022-11-23 01:52:25,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.6590740Z [2022-11-23 01:52:25,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.6591165Z [2022-11-23 01:52:25,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6591624Z [2022-11-23 01:52:25,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6592097Z [2022-11-23 01:52:25,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6592620Z [2022-11-23 01:52:25,380] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T02:04:38.6592761Z  170           0 LOAD_FAST                1 (x)
2022-11-23T02:04:38.6592874Z               2 BUILD_TUPLE              1
2022-11-23T02:04:38.6592992Z               4 RETURN_VALUE
2022-11-23T02:04:38.6593091Z  
2022-11-23T02:04:38.6593111Z 
2022-11-23T02:04:38.6593533Z [2022-11-23 01:52:25,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T02:04:38.6593831Z [2022-11-23 01:52:25,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:38.6594163Z [2022-11-23 01:52:25,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.6594503Z [2022-11-23 01:52:25,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6595025Z [2022-11-23 01:52:25,381] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T02:04:38.6595341Z [2022-11-23 01:52:25,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6595672Z [2022-11-23 01:52:25,381] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6596024Z [2022-11-23 01:52:25,383] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6596371Z [2022-11-23 01:52:25,391] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6596641Z [2022-11-23 01:52:25,392] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6596835Z  __compiled_fn_63 <eval_with_key>.427 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6596974Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6597123Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.6597248Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.6597289Z 
2022-11-23T02:04:38.6597703Z [2022-11-23 01:52:25,393] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6597845Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6597982Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6598113Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6598332Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6598467Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6598604Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6598698Z              12 RETURN_VALUE
2022-11-23T02:04:38.6598747Z 
2022-11-23T02:04:38.6598822Z  
2022-11-23T02:04:38.6599266Z [2022-11-23 01:52:25,393] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6599430Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_63)
2022-11-23T02:04:38.6599571Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6599702Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6599821Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6599954Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.6600083Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.6600239Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6600373Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6600491Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.6600622Z              18 BUILD_TUPLE              1
2022-11-23T02:04:38.6600809Z              20 RETURN_VALUE
2022-11-23T02:04:38.6600830Z 
2022-11-23T02:04:38.6600931Z  
2022-11-23T02:04:38.6601167Z [2022-11-23 01:52:25,394] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6601276Z  - 
2022-11-23T02:04:38.6601453Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6601555Z             {
2022-11-23T02:04:38.6601758Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6602022Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.6602196Z                 'obj_weakref': None
2022-11-23T02:04:38.6602484Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6602592Z             }
2022-11-23T02:04:38.6602692Z             
2022-11-23T02:04:38.6602802Z  - 
2022-11-23T02:04:38.6602985Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6603088Z             {
2022-11-23T02:04:38.6603295Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6603435Z                 'code': None,
2022-11-23T02:04:38.6603734Z                 'obj_weakref': <weakref at 0x7fa531ea4c20; to 'Tensor' at 0x7fa531fc2ed0>
2022-11-23T02:04:38.6604083Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6604188Z             }
2022-11-23T02:04:38.6604290Z             
2022-11-23T02:04:38.6604405Z  - 
2022-11-23T02:04:38.6604581Z             local 'model' NN_MODULE
2022-11-23T02:04:38.6604661Z             {
2022-11-23T02:04:38.6604864Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6605105Z                 'code': ['___check_obj_id(model, 140351385507520)'],
2022-11-23T02:04:38.6605409Z                 'obj_weakref': <weakref at 0x7fa532027740; to 'Sequential' at 0x7fa61a7a16c0>
2022-11-23T02:04:38.6605735Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.6605838Z             }
2022-11-23T02:04:38.6605947Z             
2022-11-23T02:04:38.6606033Z  - 
2022-11-23T02:04:38.6606206Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6606305Z             {
2022-11-23T02:04:38.6606507Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6606808Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6606985Z                 'obj_weakref': None
2022-11-23T02:04:38.6607296Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6607405Z             }
2022-11-23T02:04:38.6607483Z             
2022-11-23T02:04:38.6607593Z  - 
2022-11-23T02:04:38.6607886Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.6607989Z             {
2022-11-23T02:04:38.6608164Z                 'guard_types': None,
2022-11-23T02:04:38.6608321Z                 'code': None,
2022-11-23T02:04:38.6608467Z                 'obj_weakref': None
2022-11-23T02:04:38.6608653Z                 'guarded_class': None
2022-11-23T02:04:38.6608755Z             }
2022-11-23T02:04:38.6608859Z             
2022-11-23T02:04:38.6608970Z  - 
2022-11-23T02:04:38.6609181Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.6609284Z             {
2022-11-23T02:04:38.6609440Z                 'guard_types': None,
2022-11-23T02:04:38.6609599Z                 'code': None,
2022-11-23T02:04:38.6609772Z                 'obj_weakref': None
2022-11-23T02:04:38.6609948Z                 'guarded_class': None
2022-11-23T02:04:38.6610050Z             }
2022-11-23T02:04:38.6610156Z             
2022-11-23T02:04:38.6610513Z [2022-11-23 01:52:25,425] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 62
2022-11-23T02:04:38.6610998Z [2022-11-23 01:52:25,454] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ib/cibrbx6l5we7vjcpmfkm4wpcnfki66catvgh5nqyjizobyptqdkl.py
2022-11-23T02:04:38.6611454Z [2022-11-23 01:52:25,454] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 62
2022-11-23T02:04:38.6611476Z 
2022-11-23T02:04:38.6611626Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6611735Z import torch
2022-11-23T02:04:38.6611844Z import random
2022-11-23T02:04:38.6612015Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6612189Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6612209Z 
2022-11-23T02:04:38.6612330Z aten = torch.ops.aten
2022-11-23T02:04:38.6612499Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6612642Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6612662Z 
2022-11-23T02:04:38.6612680Z 
2022-11-23T02:04:38.6612881Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.6613171Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.6613346Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.6613498Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.6613601Z {
2022-11-23T02:04:38.6613749Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.6613825Z     {
2022-11-23T02:04:38.6613943Z         #pragma omp for 
2022-11-23T02:04:38.6614070Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:38.6614170Z         {
2022-11-23T02:04:38.6614404Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.6614542Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.6614647Z         }
2022-11-23T02:04:38.6614767Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.6614890Z         for(long i0=8; i0<9; i0+=1)
2022-11-23T02:04:38.6614989Z         {
2022-11-23T02:04:38.6615123Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.6615245Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:38.6615342Z         }
2022-11-23T02:04:38.6615419Z     }
2022-11-23T02:04:38.6615518Z }
2022-11-23T02:04:38.6615646Z ''')
2022-11-23T02:04:38.6615665Z 
2022-11-23T02:04:38.6615687Z 
2022-11-23T02:04:38.6615824Z async_compile.wait(globals())
2022-11-23T02:04:38.6615943Z del async_compile
2022-11-23T02:04:38.6615963Z 
2022-11-23T02:04:38.6616651Z def call(args):
2022-11-23T02:04:38.6616914Z     primals_1, primals_2, primals_3 = args
2022-11-23T02:04:38.6617089Z     args.clear()
2022-11-23T02:04:38.6617590Z     buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6617923Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.6618285Z     buf1 = aten.convolution(primals_3, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T02:04:38.6618717Z     assert_size_stride(buf1, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1))
2022-11-23T02:04:38.6618824Z     del buf0
2022-11-23T02:04:38.6618937Z     del primals_2
2022-11-23T02:04:38.6619082Z     return (buf1, primals_1, primals_3, )
2022-11-23T02:04:38.6619102Z 
2022-11-23T02:04:38.6619120Z 
2022-11-23T02:04:38.6619242Z if __name__ == "__main__":
2022-11-23T02:04:38.6619388Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6619564Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6619889Z     primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6620170Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6620497Z     primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6620696Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T02:04:38.6620715Z 
2022-11-23T02:04:38.6620737Z 
2022-11-23T02:04:38.6620879Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6620992Z import torch
2022-11-23T02:04:38.6621079Z import random
2022-11-23T02:04:38.6621245Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6621573Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6621594Z 
2022-11-23T02:04:38.6621727Z aten = torch.ops.aten
2022-11-23T02:04:38.6621920Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6622058Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6622079Z 
2022-11-23T02:04:38.6622097Z 
2022-11-23T02:04:38.6622296Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.6622581Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.6622730Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.6622884Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.6623035Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.6623178Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:38.6623278Z {
2022-11-23T02:04:38.6623425Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.6623525Z     {
2022-11-23T02:04:38.6623625Z         #pragma omp for 
2022-11-23T02:04:38.6623752Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:38.6623849Z         {
2022-11-23T02:04:38.6624070Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.6624206Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.6624303Z         }
2022-11-23T02:04:38.6624444Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.6624545Z         for(long i0=8; i0<9; i0+=1)
2022-11-23T02:04:38.6624706Z         {
2022-11-23T02:04:38.6624839Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.6624961Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:38.6625066Z         }
2022-11-23T02:04:38.6625200Z         #pragma omp for  collapse(3)
2022-11-23T02:04:38.6625330Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:38.6625408Z         {
2022-11-23T02:04:38.6625532Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:38.6625630Z             {
2022-11-23T02:04:38.6625775Z                 for(long i2=0; i2<4096; i2+=1)
2022-11-23T02:04:38.6625878Z                 {
2022-11-23T02:04:38.6625987Z                     {
2022-11-23T02:04:38.6626069Z                         {
2022-11-23T02:04:38.6626300Z                             auto tmp0 = in_ptr1[i1 + (3*i2) + (12288*i0)];
2022-11-23T02:04:38.6626461Z                             out_ptr1[i2 + (4096*i1) + (12288*i0)] = tmp0;
2022-11-23T02:04:38.6626568Z                         }
2022-11-23T02:04:38.6626672Z                     }
2022-11-23T02:04:38.6626778Z                 }
2022-11-23T02:04:38.6626879Z             }
2022-11-23T02:04:38.6626954Z         }
2022-11-23T02:04:38.6627052Z     }
2022-11-23T02:04:38.6627151Z }
2022-11-23T02:04:38.6627281Z ''')
2022-11-23T02:04:38.6627379Z 
2022-11-23T02:04:38.6627397Z 
2022-11-23T02:04:38.6627544Z async_compile.wait(globals())
2022-11-23T02:04:38.6627658Z del async_compile
2022-11-23T02:04:38.6627677Z 
2022-11-23T02:04:38.6627788Z def call(args):
2022-11-23T02:04:38.6627942Z     primals_1, primals_2, primals_3 = args
2022-11-23T02:04:38.6628035Z     args.clear()
2022-11-23T02:04:38.6628336Z     buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6628657Z     buf1 = empty_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6628938Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.6629151Z     buf2 = aten.convolution(buf1, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T02:04:38.6629318Z     assert_size_stride(buf2, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1))
2022-11-23T02:04:38.6629430Z     del buf0
2022-11-23T02:04:38.6629510Z     del buf1
2022-11-23T02:04:38.6629624Z     del primals_2
2022-11-23T02:04:38.6629771Z     return (buf2, primals_1, primals_3, )
2022-11-23T02:04:38.6629790Z 
2022-11-23T02:04:38.6629809Z 
2022-11-23T02:04:38.6629931Z if __name__ == "__main__":
2022-11-23T02:04:38.6630145Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6630330Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6630642Z     primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6630917Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6631212Z     primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 1, 768, 48, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6631414Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T02:04:38.6631434Z 
2022-11-23T02:04:38.6631452Z 
2022-11-23T02:04:38.6631596Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6631712Z import torch
2022-11-23T02:04:38.6631825Z import random
2022-11-23T02:04:38.6631996Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6632173Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6632196Z 
2022-11-23T02:04:38.6632317Z aten = torch.ops.aten
2022-11-23T02:04:38.6632484Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6632624Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6632644Z 
2022-11-23T02:04:38.6632662Z 
2022-11-23T02:04:38.6632864Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.6633148Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.6633322Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.6633477Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.6633630Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.6633780Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:38.6633854Z {
2022-11-23T02:04:38.6634002Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.6634100Z     {
2022-11-23T02:04:38.6634222Z         #pragma omp for 
2022-11-23T02:04:38.6634352Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:38.6634452Z         {
2022-11-23T02:04:38.6634657Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.6634770Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.6634866Z         }
2022-11-23T02:04:38.6635009Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.6635133Z         for(long i0=8; i0<9; i0+=1)
2022-11-23T02:04:38.6635232Z         {
2022-11-23T02:04:38.6635360Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.6635480Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:38.6635556Z         }
2022-11-23T02:04:38.6635688Z         #pragma omp for  collapse(3)
2022-11-23T02:04:38.6635893Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:38.6635999Z         {
2022-11-23T02:04:38.6636128Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:38.6636230Z             {
2022-11-23T02:04:38.6636368Z                 for(long i2=0; i2<4096; i2+=1)
2022-11-23T02:04:38.6636451Z                 {
2022-11-23T02:04:38.6636555Z                     {
2022-11-23T02:04:38.6636657Z                         {
2022-11-23T02:04:38.6636822Z                             auto tmp0 = in_ptr1[i1 + (3*i2) + (12288*i0)];
2022-11-23T02:04:38.6636978Z                             out_ptr1[i2 + (4096*i1) + (12288*i0)] = tmp0;
2022-11-23T02:04:38.6637084Z                         }
2022-11-23T02:04:38.6637190Z                     }
2022-11-23T02:04:38.6637269Z                 }
2022-11-23T02:04:38.6637369Z             }
2022-11-23T02:04:38.6637470Z         }
2022-11-23T02:04:38.6637569Z     }
2022-11-23T02:04:38.6637660Z }
2022-11-23T02:04:38.6637792Z ''')
2022-11-23T02:04:38.6637811Z 
2022-11-23T02:04:38.6637829Z 
2022-11-23T02:04:38.6637970Z async_compile.wait(globals())
2022-11-23T02:04:38.6638060Z del async_compile
2022-11-23T02:04:38.6638080Z 
2022-11-23T02:04:38.6638190Z def call(args):
2022-11-23T02:04:38.6638345Z     primals_1, primals_2, primals_3 = args
2022-11-23T02:04:38.6638457Z     args.clear()
2022-11-23T02:04:38.6638815Z     buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6639143Z     buf1 = empty_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6639422Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.6639634Z     buf2 = aten.convolution(buf1, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T02:04:38.6639777Z     assert_size_stride(buf2, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1))
2022-11-23T02:04:38.6639881Z     del buf0
2022-11-23T02:04:38.6639993Z     del buf1
2022-11-23T02:04:38.6640109Z     del primals_2
2022-11-23T02:04:38.6640256Z     return (buf2, primals_1, primals_3, )
2022-11-23T02:04:38.6640275Z 
2022-11-23T02:04:38.6640293Z 
2022-11-23T02:04:38.6640410Z if __name__ == "__main__":
2022-11-23T02:04:38.6640580Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6640735Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6641047Z     primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6641322Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6641639Z     primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 1, 768, 48, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6641844Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T02:04:38.6641864Z 
2022-11-23T02:04:38.6641970Z ok (5.516s)
2022-11-23T02:04:38.6642165Z   test_conv_autotune_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2022-11-23T02:04:38.6642594Z   test_conv_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:52:25,477] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6643034Z [2022-11-23 01:52:25,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6643319Z [2022-11-23 01:52:25,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6643663Z [2022-11-23 01:52:25,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.6644041Z [2022-11-23 01:52:25,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.6644481Z [2022-11-23 01:52:25,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6645017Z [2022-11-23 01:52:25,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6645462Z [2022-11-23 01:52:25,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6645969Z [2022-11-23 01:52:25,479] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f7b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4279> 
2022-11-23T02:04:38.6646115Z  4281           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.6646281Z                2 LOAD_ATTR                1 (convolution_backward)
2022-11-23T02:04:38.6646415Z                4 BUILD_LIST               0
2022-11-23T02:04:38.6646434Z 
2022-11-23T02:04:38.6646560Z 4282           6 LOAD_FAST                0 (rank4_inps)
2022-11-23T02:04:38.6646580Z 
2022-11-23T02:04:38.6646712Z 4281           8 LIST_EXTEND              1
2022-11-23T02:04:38.6646735Z 
2022-11-23T02:04:38.6646874Z 4283          10 LOAD_DEREF               0 (C)
2022-11-23T02:04:38.6647008Z               12 BUILD_LIST               1
2022-11-23T02:04:38.6647027Z 
2022-11-23T02:04:38.6647217Z 4281          14 LIST_APPEND              1
2022-11-23T02:04:38.6647238Z 
2022-11-23T02:04:38.6647376Z 4284          16 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6647512Z               18 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6647641Z               20 BUILD_LIST               2
2022-11-23T02:04:38.6647660Z 
2022-11-23T02:04:38.6647794Z 4281          22 LIST_APPEND              1
2022-11-23T02:04:38.6647813Z 
2022-11-23T02:04:38.6647922Z 4285          24 LOAD_CONST               2 (0)
2022-11-23T02:04:38.6648054Z               26 LOAD_CONST               2 (0)
2022-11-23T02:04:38.6648185Z               28 BUILD_LIST               2
2022-11-23T02:04:38.6648203Z 
2022-11-23T02:04:38.6648336Z 4281          30 LIST_APPEND              1
2022-11-23T02:04:38.6648360Z 
2022-11-23T02:04:38.6648492Z 4286          32 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6648627Z               34 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6648757Z               36 BUILD_LIST               2
2022-11-23T02:04:38.6648776Z 
2022-11-23T02:04:38.6648909Z 4281          38 LIST_APPEND              1
2022-11-23T02:04:38.6648928Z 
2022-11-23T02:04:38.6649044Z 4287          40 LOAD_CONST               3 (False)
2022-11-23T02:04:38.6649083Z 
2022-11-23T02:04:38.6649259Z 4281          42 LIST_APPEND              1
2022-11-23T02:04:38.6649277Z 
2022-11-23T02:04:38.6649407Z 4288          44 LOAD_CONST               2 (0)
2022-11-23T02:04:38.6649535Z               46 LOAD_CONST               2 (0)
2022-11-23T02:04:38.6649664Z               48 BUILD_LIST               2
2022-11-23T02:04:38.6649683Z 
2022-11-23T02:04:38.6649810Z 4281          50 LIST_APPEND              1
2022-11-23T02:04:38.6649829Z 
2022-11-23T02:04:38.6649955Z 4289          52 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6649978Z 
2022-11-23T02:04:38.6650109Z 4281          54 LIST_APPEND              1
2022-11-23T02:04:38.6650127Z 
2022-11-23T02:04:38.6650256Z 4290          56 BUILD_LIST               0
2022-11-23T02:04:38.6650396Z               58 LOAD_CONST               4 ((True, True, True))
2022-11-23T02:04:38.6650523Z               60 LIST_EXTEND              1
2022-11-23T02:04:38.6650542Z 
2022-11-23T02:04:38.6650670Z 4281          62 LIST_APPEND              1
2022-11-23T02:04:38.6650791Z               64 LIST_TO_TUPLE
2022-11-23T02:04:38.6650928Z               66 CALL_FUNCTION_EX         0
2022-11-23T02:04:38.6651063Z               68 STORE_FAST               3 (out1)
2022-11-23T02:04:38.6651082Z 
2022-11-23T02:04:38.6651217Z 4292          70 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.6651385Z               72 LOAD_ATTR                1 (convolution_backward)
2022-11-23T02:04:38.6651492Z               74 BUILD_LIST               0
2022-11-23T02:04:38.6651511Z 
2022-11-23T02:04:38.6651745Z 4293          76 LOAD_FAST                0 (rank4_inps)
2022-11-23T02:04:38.6651765Z 
2022-11-23T02:04:38.6651895Z 4292          78 LIST_EXTEND              1
2022-11-23T02:04:38.6651914Z 
2022-11-23T02:04:38.6652047Z 4294          80 LOAD_DEREF               0 (C)
2022-11-23T02:04:38.6652183Z               82 BUILD_LIST               1
2022-11-23T02:04:38.6652201Z 
2022-11-23T02:04:38.6652333Z 4292          84 LIST_APPEND              1
2022-11-23T02:04:38.6652351Z 
2022-11-23T02:04:38.6652483Z 4295          86 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6652617Z               88 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6652745Z               90 BUILD_LIST               2
2022-11-23T02:04:38.6652764Z 
2022-11-23T02:04:38.6652872Z 4292          92 LIST_APPEND              1
2022-11-23T02:04:38.6652891Z 
2022-11-23T02:04:38.6653025Z 4296          94 LOAD_CONST               2 (0)
2022-11-23T02:04:38.6653164Z               96 LOAD_CONST               2 (0)
2022-11-23T02:04:38.6653306Z               98 BUILD_LIST               2
2022-11-23T02:04:38.6653325Z 
2022-11-23T02:04:38.6653456Z 4292         100 LIST_APPEND              1
2022-11-23T02:04:38.6653475Z 
2022-11-23T02:04:38.6653609Z 4297         102 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6653797Z              104 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6653934Z              106 BUILD_LIST               2
2022-11-23T02:04:38.6653953Z 
2022-11-23T02:04:38.6654062Z 4292         108 LIST_APPEND              1
2022-11-23T02:04:38.6654107Z 
2022-11-23T02:04:38.6654222Z 4298         110 LOAD_CONST               3 (False)
2022-11-23T02:04:38.6654241Z 
2022-11-23T02:04:38.6654375Z 4292         112 LIST_APPEND              1
2022-11-23T02:04:38.6654394Z 
2022-11-23T02:04:38.6654526Z 4299         114 LOAD_CONST               2 (0)
2022-11-23T02:04:38.6654654Z              116 LOAD_CONST               2 (0)
2022-11-23T02:04:38.6654788Z              118 BUILD_LIST               2
2022-11-23T02:04:38.6654807Z 
2022-11-23T02:04:38.6654950Z 4292         120 LIST_APPEND              1
2022-11-23T02:04:38.6654969Z 
2022-11-23T02:04:38.6655099Z 4300         122 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6655117Z 
2022-11-23T02:04:38.6655249Z 4292         124 LIST_APPEND              1
2022-11-23T02:04:38.6655272Z 
2022-11-23T02:04:38.6655400Z 4301         126 BUILD_LIST               0
2022-11-23T02:04:38.6655538Z              128 LOAD_CONST               5 ((True, False, False))
2022-11-23T02:04:38.6655668Z              130 LIST_EXTEND              1
2022-11-23T02:04:38.6655687Z 
2022-11-23T02:04:38.6655824Z 4292         132 LIST_APPEND              1
2022-11-23T02:04:38.6655948Z              134 LIST_TO_TUPLE
2022-11-23T02:04:38.6656531Z              136 CALL_FUNCTION_EX         0
2022-11-23T02:04:38.6656773Z              138 STORE_FAST               4 (out2)
2022-11-23T02:04:38.6656845Z 
2022-11-23T02:04:38.6657021Z 4303         140 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.6657259Z              142 LOAD_ATTR                1 (convolution_backward)
2022-11-23T02:04:38.6657481Z              144 BUILD_LIST               0
2022-11-23T02:04:38.6657508Z 
2022-11-23T02:04:38.6657744Z 4304         146 LOAD_FAST                1 (rank3_inps)
2022-11-23T02:04:38.6657771Z 
2022-11-23T02:04:38.6657992Z 4303         148 LIST_EXTEND              1
2022-11-23T02:04:38.6658019Z 
2022-11-23T02:04:38.6658207Z 4305         150 LOAD_DEREF               0 (C)
2022-11-23T02:04:38.6658340Z              152 BUILD_LIST               1
2022-11-23T02:04:38.6658359Z 
2022-11-23T02:04:38.6658493Z 4303         154 LIST_APPEND              1
2022-11-23T02:04:38.6658511Z 
2022-11-23T02:04:38.6658644Z 4306         156 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6658771Z              158 BUILD_LIST               1
2022-11-23T02:04:38.6658790Z 
2022-11-23T02:04:38.6658898Z 4303         160 LIST_APPEND              1
2022-11-23T02:04:38.6658940Z 
2022-11-23T02:04:38.6659048Z 4307         162 LOAD_CONST               2 (0)
2022-11-23T02:04:38.6659354Z              164 BUILD_LIST               1
2022-11-23T02:04:38.6659373Z 
2022-11-23T02:04:38.6659506Z 4303         166 LIST_APPEND              1
2022-11-23T02:04:38.6659525Z 
2022-11-23T02:04:38.6659659Z 4308         168 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6659793Z              170 BUILD_LIST               1
2022-11-23T02:04:38.6659812Z 
2022-11-23T02:04:38.6659943Z 4303         172 LIST_APPEND              1
2022-11-23T02:04:38.6659961Z 
2022-11-23T02:04:38.6660099Z 4309         174 LOAD_CONST               3 (False)
2022-11-23T02:04:38.6660119Z 
2022-11-23T02:04:38.6660250Z 4303         176 LIST_APPEND              1
2022-11-23T02:04:38.6660269Z 
2022-11-23T02:04:38.6660400Z 4310         178 LOAD_CONST               2 (0)
2022-11-23T02:04:38.6660506Z              180 BUILD_LIST               1
2022-11-23T02:04:38.6660524Z 
2022-11-23T02:04:38.6660657Z 4303         182 LIST_APPEND              1
2022-11-23T02:04:38.6660675Z 
2022-11-23T02:04:38.6660806Z 4311         184 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6660829Z 
2022-11-23T02:04:38.6660960Z 4303         186 LIST_APPEND              1
2022-11-23T02:04:38.6660979Z 
2022-11-23T02:04:38.6661109Z 4312         188 BUILD_LIST               0
2022-11-23T02:04:38.6661354Z              190 LOAD_CONST               4 ((True, True, True))
2022-11-23T02:04:38.6661496Z              192 LIST_EXTEND              1
2022-11-23T02:04:38.6661514Z 
2022-11-23T02:04:38.6661644Z 4303         194 LIST_APPEND              1
2022-11-23T02:04:38.6661739Z              196 LIST_TO_TUPLE
2022-11-23T02:04:38.6661876Z              198 CALL_FUNCTION_EX         0
2022-11-23T02:04:38.6662014Z              200 STORE_FAST               5 (out3)
2022-11-23T02:04:38.6662033Z 
2022-11-23T02:04:38.6662166Z 4314         202 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.6662329Z              204 LOAD_ATTR                1 (convolution_backward)
2022-11-23T02:04:38.6662459Z              206 BUILD_LIST               0
2022-11-23T02:04:38.6662481Z 
2022-11-23T02:04:38.6662629Z 4315         208 LOAD_FAST                2 (rank5_inps)
2022-11-23T02:04:38.6662648Z 
2022-11-23T02:04:38.6662777Z 4314         210 LIST_EXTEND              1
2022-11-23T02:04:38.6662796Z 
2022-11-23T02:04:38.6662929Z 4316         212 LOAD_DEREF               0 (C)
2022-11-23T02:04:38.6663041Z              214 BUILD_LIST               1
2022-11-23T02:04:38.6663059Z 
2022-11-23T02:04:38.6663187Z 4314         216 LIST_APPEND              1
2022-11-23T02:04:38.6663205Z 
2022-11-23T02:04:38.6663335Z 4317         218 BUILD_LIST               0
2022-11-23T02:04:38.6663476Z              220 LOAD_CONST               6 ((1, 1, 1))
2022-11-23T02:04:38.6663604Z              222 LIST_EXTEND              1
2022-11-23T02:04:38.6663623Z 
2022-11-23T02:04:38.6663758Z 4314         224 LIST_APPEND              1
2022-11-23T02:04:38.6663777Z 
2022-11-23T02:04:38.6663900Z 4318         226 BUILD_LIST               0
2022-11-23T02:04:38.6664040Z              228 LOAD_CONST               7 ((0, 0, 0))
2022-11-23T02:04:38.6664150Z              230 LIST_EXTEND              1
2022-11-23T02:04:38.6664169Z 
2022-11-23T02:04:38.6664305Z 4314         232 LIST_APPEND              1
2022-11-23T02:04:38.6664323Z 
2022-11-23T02:04:38.6664447Z 4319         234 BUILD_LIST               0
2022-11-23T02:04:38.6664590Z              236 LOAD_CONST               6 ((1, 1, 1))
2022-11-23T02:04:38.6664720Z              238 LIST_EXTEND              1
2022-11-23T02:04:38.6664739Z 
2022-11-23T02:04:38.6664871Z 4314         240 LIST_APPEND              1
2022-11-23T02:04:38.6664889Z 
2022-11-23T02:04:38.6665027Z 4320         242 LOAD_CONST               3 (False)
2022-11-23T02:04:38.6665046Z 
2022-11-23T02:04:38.6665172Z 4314         244 LIST_APPEND              1
2022-11-23T02:04:38.6665191Z 
2022-11-23T02:04:38.6665318Z 4321         246 BUILD_LIST               0
2022-11-23T02:04:38.6665434Z              248 LOAD_CONST               7 ((0, 0, 0))
2022-11-23T02:04:38.6665565Z              250 LIST_EXTEND              1
2022-11-23T02:04:38.6665642Z 
2022-11-23T02:04:38.6665780Z 4314         252 LIST_APPEND              1
2022-11-23T02:04:38.6665798Z 
2022-11-23T02:04:38.6665929Z 4322         254 LOAD_CONST               1 (1)
2022-11-23T02:04:38.6665948Z 
2022-11-23T02:04:38.6666082Z 4314         256 LIST_APPEND              1
2022-11-23T02:04:38.6666100Z 
2022-11-23T02:04:38.6666231Z 4323         258 BUILD_LIST               0
2022-11-23T02:04:38.6666389Z              260 LOAD_CONST               4 ((True, True, True))
2022-11-23T02:04:38.6666519Z              262 LIST_EXTEND              1
2022-11-23T02:04:38.6666538Z 
2022-11-23T02:04:38.6666669Z 4314         264 LIST_APPEND              1
2022-11-23T02:04:38.6666765Z              266 LIST_TO_TUPLE
2022-11-23T02:04:38.6666904Z              268 CALL_FUNCTION_EX         0
2022-11-23T02:04:38.6667042Z              270 STORE_FAST               6 (out4)
2022-11-23T02:04:38.6667061Z 
2022-11-23T02:04:38.6667203Z 4325         272 LOAD_FAST                3 (out1)
2022-11-23T02:04:38.6667344Z              274 LOAD_FAST                4 (out2)
2022-11-23T02:04:38.6667474Z              276 LOAD_FAST                5 (out3)
2022-11-23T02:04:38.6667603Z              278 LOAD_FAST                6 (out4)
2022-11-23T02:04:38.6667711Z              280 BUILD_TUPLE              4
2022-11-23T02:04:38.6667927Z              282 RETURN_VALUE
2022-11-23T02:04:38.6668030Z  
2022-11-23T02:04:38.6668049Z 
2022-11-23T02:04:38.6668616Z [2022-11-23 01:52:25,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T02:04:38.6668917Z [2022-11-23 01:52:25,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.6669370Z [2022-11-23 01:52:25,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.6669753Z [2022-11-23 01:52:25,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T02:04:38.6670181Z [2022-11-23 01:52:25,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4282
2022-11-23T02:04:38.6670609Z [2022-11-23 01:52:25,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank4_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6671027Z [2022-11-23 01:52:25,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T02:04:38.6671449Z [2022-11-23 01:52:25,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6671864Z [2022-11-23 01:52:25,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4283
2022-11-23T02:04:38.6672276Z [2022-11-23 01:52:25,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6672742Z [2022-11-23 01:52:25,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6673166Z [2022-11-23 01:52:25,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T02:04:38.6673615Z [2022-11-23 01:52:25,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6674042Z [2022-11-23 01:52:25,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4284
2022-11-23T02:04:38.6674455Z [2022-11-23 01:52:25,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6674979Z [2022-11-23 01:52:25,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6675496Z [2022-11-23 01:52:25,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.6675920Z [2022-11-23 01:52:25,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T02:04:38.6676367Z [2022-11-23 01:52:25,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6676765Z [2022-11-23 01:52:25,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4285
2022-11-23T02:04:38.6677176Z [2022-11-23 01:52:25,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6677689Z [2022-11-23 01:52:25,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6678199Z [2022-11-23 01:52:25,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.6678625Z [2022-11-23 01:52:25,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T02:04:38.6679071Z [2022-11-23 01:52:25,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6679494Z [2022-11-23 01:52:25,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4286
2022-11-23T02:04:38.6679908Z [2022-11-23 01:52:25,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6680373Z [2022-11-23 01:52:25,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6680874Z [2022-11-23 01:52:25,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.6681304Z [2022-11-23 01:52:25,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T02:04:38.6681734Z [2022-11-23 01:52:25,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6682157Z [2022-11-23 01:52:25,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4287
2022-11-23T02:04:38.6682589Z [2022-11-23 01:52:25,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6683014Z [2022-11-23 01:52:25,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T02:04:38.6683477Z [2022-11-23 01:52:25,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:38.6683904Z [2022-11-23 01:52:25,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4288
2022-11-23T02:04:38.6684314Z [2022-11-23 01:52:25,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6684981Z [2022-11-23 01:52:25,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6685497Z [2022-11-23 01:52:25,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.6685921Z [2022-11-23 01:52:25,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T02:04:38.6686377Z [2022-11-23 01:52:25,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6686800Z [2022-11-23 01:52:25,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4289
2022-11-23T02:04:38.6687193Z [2022-11-23 01:52:25,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6687684Z [2022-11-23 01:52:25,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T02:04:38.6688151Z [2022-11-23 01:52:25,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6688575Z [2022-11-23 01:52:25,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4290
2022-11-23T02:04:38.6689000Z [2022-11-23 01:52:25,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6689471Z [2022-11-23 01:52:25,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6689975Z [2022-11-23 01:52:25,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.6690392Z [2022-11-23 01:52:25,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T02:04:38.6690843Z [2022-11-23 01:52:25,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6691266Z [2022-11-23 01:52:25,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6691687Z [2022-11-23 01:52:25,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T02:04:38.6692029Z [2022-11-23 01:52:25,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out1 [TupleVariable()]
2022-11-23T02:04:38.6692440Z [2022-11-23 01:52:25,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T02:04:38.6692758Z [2022-11-23 01:52:25,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.6693221Z [2022-11-23 01:52:25,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.6693604Z [2022-11-23 01:52:25,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T02:04:38.6694023Z [2022-11-23 01:52:25,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4293
2022-11-23T02:04:38.6694451Z [2022-11-23 01:52:25,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank4_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6694958Z [2022-11-23 01:52:25,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T02:04:38.6695407Z [2022-11-23 01:52:25,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6695826Z [2022-11-23 01:52:25,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4294
2022-11-23T02:04:38.6696960Z [2022-11-23 01:52:25,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6697827Z [2022-11-23 01:52:25,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6698497Z [2022-11-23 01:52:25,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T02:04:38.6699141Z [2022-11-23 01:52:25,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6699583Z [2022-11-23 01:52:25,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4295
2022-11-23T02:04:38.6699993Z [2022-11-23 01:52:25,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6700448Z [2022-11-23 01:52:25,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6700949Z [2022-11-23 01:52:25,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.6701378Z [2022-11-23 01:52:25,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T02:04:38.6701826Z [2022-11-23 01:52:25,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6702248Z [2022-11-23 01:52:25,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4296
2022-11-23T02:04:38.6702660Z [2022-11-23 01:52:25,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6703111Z [2022-11-23 01:52:25,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6703619Z [2022-11-23 01:52:25,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.6704022Z [2022-11-23 01:52:25,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T02:04:38.6704470Z [2022-11-23 01:52:25,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6704883Z [2022-11-23 01:52:25,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4297
2022-11-23T02:04:38.6705288Z [2022-11-23 01:52:25,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6705747Z [2022-11-23 01:52:25,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6706359Z [2022-11-23 01:52:25,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.6706782Z [2022-11-23 01:52:25,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T02:04:38.6707235Z [2022-11-23 01:52:25,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6707659Z [2022-11-23 01:52:25,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4298
2022-11-23T02:04:38.6708077Z [2022-11-23 01:52:25,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6708494Z [2022-11-23 01:52:25,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T02:04:38.6708996Z [2022-11-23 01:52:25,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:38.6709426Z [2022-11-23 01:52:25,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4299
2022-11-23T02:04:38.6709837Z [2022-11-23 01:52:25,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6710296Z [2022-11-23 01:52:25,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6710802Z [2022-11-23 01:52:25,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.6711231Z [2022-11-23 01:52:25,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T02:04:38.6711674Z [2022-11-23 01:52:25,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6712091Z [2022-11-23 01:52:25,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4300
2022-11-23T02:04:38.6712495Z [2022-11-23 01:52:25,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6712905Z [2022-11-23 01:52:25,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T02:04:38.6713373Z [2022-11-23 01:52:25,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6713798Z [2022-11-23 01:52:25,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4301
2022-11-23T02:04:38.6714191Z [2022-11-23 01:52:25,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6714672Z [2022-11-23 01:52:25,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, False, False) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6715166Z [2022-11-23 01:52:25,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.6715658Z [2022-11-23 01:52:25,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T02:04:38.6716109Z [2022-11-23 01:52:25,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6716534Z [2022-11-23 01:52:25,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6716969Z [2022-11-23 01:52:25,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T02:04:38.6717304Z [2022-11-23 01:52:25,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out2 [TupleVariable()]
2022-11-23T02:04:38.6717730Z [2022-11-23 01:52:25,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T02:04:38.6718040Z [2022-11-23 01:52:25,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.6718542Z [2022-11-23 01:52:25,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.6718905Z [2022-11-23 01:52:25,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T02:04:38.6719331Z [2022-11-23 01:52:25,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4304
2022-11-23T02:04:38.6719757Z [2022-11-23 01:52:25,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank3_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6720182Z [2022-11-23 01:52:25,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T02:04:38.6720632Z [2022-11-23 01:52:25,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6721052Z [2022-11-23 01:52:25,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4305
2022-11-23T02:04:38.6721466Z [2022-11-23 01:52:25,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6721923Z [2022-11-23 01:52:25,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6722350Z [2022-11-23 01:52:25,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T02:04:38.6722801Z [2022-11-23 01:52:25,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6723225Z [2022-11-23 01:52:25,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4306
2022-11-23T02:04:38.6723631Z [2022-11-23 01:52:25,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6724065Z [2022-11-23 01:52:25,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6724497Z [2022-11-23 01:52:25,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T02:04:38.6724945Z [2022-11-23 01:52:25,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6725435Z [2022-11-23 01:52:25,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4307
2022-11-23T02:04:38.6725843Z [2022-11-23 01:52:25,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6726300Z [2022-11-23 01:52:25,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6726729Z [2022-11-23 01:52:25,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T02:04:38.6727178Z [2022-11-23 01:52:25,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6727590Z [2022-11-23 01:52:25,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4308
2022-11-23T02:04:38.6728063Z [2022-11-23 01:52:25,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6728579Z [2022-11-23 01:52:25,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6728988Z [2022-11-23 01:52:25,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T02:04:38.6729444Z [2022-11-23 01:52:25,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6729858Z [2022-11-23 01:52:25,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4309
2022-11-23T02:04:38.6730288Z [2022-11-23 01:52:25,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6730714Z [2022-11-23 01:52:25,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T02:04:38.6731178Z [2022-11-23 01:52:25,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:38.6731606Z [2022-11-23 01:52:25,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4310
2022-11-23T02:04:38.6732028Z [2022-11-23 01:52:25,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6732492Z [2022-11-23 01:52:25,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6732935Z [2022-11-23 01:52:25,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T02:04:38.6733388Z [2022-11-23 01:52:25,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6733816Z [2022-11-23 01:52:25,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4311
2022-11-23T02:04:38.6734206Z [2022-11-23 01:52:25,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6734630Z [2022-11-23 01:52:25,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T02:04:38.6735184Z [2022-11-23 01:52:25,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6735612Z [2022-11-23 01:52:25,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4312
2022-11-23T02:04:38.6736544Z [2022-11-23 01:52:25,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6737420Z [2022-11-23 01:52:25,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6738313Z [2022-11-23 01:52:25,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.6738756Z [2022-11-23 01:52:25,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T02:04:38.6739216Z [2022-11-23 01:52:25,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6739836Z [2022-11-23 01:52:25,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6740275Z [2022-11-23 01:52:25,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T02:04:38.6740585Z [2022-11-23 01:52:25,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out3 [TupleVariable()]
2022-11-23T02:04:38.6741006Z [2022-11-23 01:52:25,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T02:04:38.6741310Z [2022-11-23 01:52:25,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.6741760Z [2022-11-23 01:52:25,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.6742140Z [2022-11-23 01:52:25,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T02:04:38.6742566Z [2022-11-23 01:52:25,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4315
2022-11-23T02:04:38.6742991Z [2022-11-23 01:52:25,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank5_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6743413Z [2022-11-23 01:52:25,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T02:04:38.6743859Z [2022-11-23 01:52:25,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6744285Z [2022-11-23 01:52:25,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4316
2022-11-23T02:04:38.6744697Z [2022-11-23 01:52:25,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6745131Z [2022-11-23 01:52:25,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6745557Z [2022-11-23 01:52:25,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T02:04:38.6746000Z [2022-11-23 01:52:25,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6746517Z [2022-11-23 01:52:25,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4317
2022-11-23T02:04:38.6746927Z [2022-11-23 01:52:25,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6747375Z [2022-11-23 01:52:25,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6747876Z [2022-11-23 01:52:25,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.6748295Z [2022-11-23 01:52:25,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T02:04:38.6748736Z [2022-11-23 01:52:25,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6749217Z [2022-11-23 01:52:25,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4318
2022-11-23T02:04:38.6749629Z [2022-11-23 01:52:25,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6750076Z [2022-11-23 01:52:25,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 0) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6750547Z [2022-11-23 01:52:25,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.6750969Z [2022-11-23 01:52:25,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T02:04:38.6751420Z [2022-11-23 01:52:25,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6751848Z [2022-11-23 01:52:25,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4319
2022-11-23T02:04:38.6752260Z [2022-11-23 01:52:25,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6752707Z [2022-11-23 01:52:25,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6753198Z [2022-11-23 01:52:25,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.6753620Z [2022-11-23 01:52:25,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T02:04:38.6754066Z [2022-11-23 01:52:25,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6754491Z [2022-11-23 01:52:25,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4320
2022-11-23T02:04:38.6754911Z [2022-11-23 01:52:25,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6755335Z [2022-11-23 01:52:25,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T02:04:38.6755772Z [2022-11-23 01:52:25,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:38.6756271Z [2022-11-23 01:52:25,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4321
2022-11-23T02:04:38.6756683Z [2022-11-23 01:52:25,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6757128Z [2022-11-23 01:52:25,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 0) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6757640Z [2022-11-23 01:52:25,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.6758063Z [2022-11-23 01:52:25,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T02:04:38.6758512Z [2022-11-23 01:52:25,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6758980Z [2022-11-23 01:52:25,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4322
2022-11-23T02:04:38.6759391Z [2022-11-23 01:52:25,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6759808Z [2022-11-23 01:52:25,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T02:04:38.6760262Z [2022-11-23 01:52:25,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.6760696Z [2022-11-23 01:52:25,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4323
2022-11-23T02:04:38.6761087Z [2022-11-23 01:52:25,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6761574Z [2022-11-23 01:52:25,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6762068Z [2022-11-23 01:52:25,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:38.6762488Z [2022-11-23 01:52:25,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T02:04:38.6762945Z [2022-11-23 01:52:25,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T02:04:38.6763376Z [2022-11-23 01:52:25,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T02:04:38.6763809Z [2022-11-23 01:52:25,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T02:04:38.6764149Z [2022-11-23 01:52:25,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out4 [TupleVariable()]
2022-11-23T02:04:38.6764570Z [2022-11-23 01:52:25,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4325
2022-11-23T02:04:38.6764873Z [2022-11-23 01:52:25,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out1 []
2022-11-23T02:04:38.6765208Z [2022-11-23 01:52:25,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out2 [TupleVariable()]
2022-11-23T02:04:38.6765550Z [2022-11-23 01:52:25,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out3 [TupleVariable(), TupleVariable()]
2022-11-23T02:04:38.6766151Z [2022-11-23 01:52:25,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out4 [TupleVariable(), TupleVariable(), TupleVariable()]
2022-11-23T02:04:38.6766591Z [2022-11-23 01:52:25,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TupleVariable(), TupleVariable(), TupleVariable(), TupleVariable()]
2022-11-23T02:04:38.6766937Z [2022-11-23 01:52:25,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6767462Z [2022-11-23 01:52:25,557] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f7b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4279>
2022-11-23T02:04:38.6767805Z [2022-11-23 01:52:25,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.6768130Z [2022-11-23 01:52:25,557] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6768480Z [2022-11-23 01:52:25,562] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6768886Z [2022-11-23 01:52:25,579] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6769135Z [2022-11-23 01:52:25,580] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6769335Z  __compiled_fn_64 <eval_with_key>.438 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6769473Z placeholder, ex_0_0_, ex_0_0_, (), {}
2022-11-23T02:04:38.6769606Z placeholder, ex_0_1_, ex_0_1_, (), {}
2022-11-23T02:04:38.6769739Z placeholder, ex_0_2_, ex_0_2_, (), {}
2022-11-23T02:04:38.6769869Z placeholder, ex_1_0_, ex_1_0_, (), {}
2022-11-23T02:04:38.6769998Z placeholder, ex_1_1_, ex_1_1_, (), {}
2022-11-23T02:04:38.6770126Z placeholder, ex_1_2_, ex_1_2_, (), {}
2022-11-23T02:04:38.6770233Z placeholder, ex_2_0_, ex_2_0_, (), {}
2022-11-23T02:04:38.6770361Z placeholder, ex_2_1_, ex_2_1_, (), {}
2022-11-23T02:04:38.6770495Z placeholder, ex_2_2_, ex_2_2_, (), {}
2022-11-23T02:04:38.6770774Z call_function, convolution_backward, aten.convolution_backward, (ex_0_0_, ex_0_1_, ex_0_2_, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}
2022-11-23T02:04:38.6771086Z call_function, getitem, <built-in function getitem>, (convolution_backward, 0), {}
2022-11-23T02:04:38.6771395Z call_function, getitem_1, <built-in function getitem>, (convolution_backward, 1), {}
2022-11-23T02:04:38.6771690Z call_function, getitem_2, <built-in function getitem>, (convolution_backward, 2), {}
2022-11-23T02:04:38.6771973Z call_function, convolution_backward_1, aten.convolution_backward, (ex_0_0_, ex_0_1_, ex_0_2_, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, False, False]), {}
2022-11-23T02:04:38.6772255Z call_function, getitem_3, <built-in function getitem>, (convolution_backward_1, 0), {}
2022-11-23T02:04:38.6772527Z call_function, convolution_backward_2, aten.convolution_backward, (ex_1_0_, ex_1_1_, ex_1_2_, [4], [1], [0], [1], False, [0], 1, [True, True, True]), {}
2022-11-23T02:04:38.6772838Z call_function, getitem_4, <built-in function getitem>, (convolution_backward_2, 0), {}
2022-11-23T02:04:38.6773147Z call_function, getitem_5, <built-in function getitem>, (convolution_backward_2, 1), {}
2022-11-23T02:04:38.6773443Z call_function, getitem_6, <built-in function getitem>, (convolution_backward_2, 2), {}
2022-11-23T02:04:38.6773723Z call_function, convolution_backward_3, aten.convolution_backward, (ex_2_0_, ex_2_1_, ex_2_2_, [4], [1, 1, 1], [0, 0, 0], [1, 1, 1], False, [0, 0, 0], 1, [True, True, True]), {}
2022-11-23T02:04:38.6774020Z call_function, getitem_7, <built-in function getitem>, (convolution_backward_3, 0), {}
2022-11-23T02:04:38.6774320Z call_function, getitem_8, <built-in function getitem>, (convolution_backward_3, 1), {}
2022-11-23T02:04:38.6774617Z call_function, getitem_9, <built-in function getitem>, (convolution_backward_3, 2), {}
2022-11-23T02:04:38.6774977Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, getitem_4, getitem_5, getitem_6, getitem_7, getitem_8, getitem_9),), {}
2022-11-23T02:04:38.6775031Z 
2022-11-23T02:04:38.6775469Z [2022-11-23 01:52:25,582] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6775612Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6775752Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6775882Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6776520Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6776752Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6776963Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6777117Z              12 RETURN_VALUE
2022-11-23T02:04:38.6777146Z 
2022-11-23T02:04:38.6777306Z  
2022-11-23T02:04:38.6778151Z [2022-11-23 01:52:25,582] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6778421Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_64)
2022-11-23T02:04:38.6778579Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6778883Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6779011Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6779146Z               8 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6779240Z              10 BINARY_SUBSCR
2022-11-23T02:04:38.6779373Z              12 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6779509Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6779626Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.6779758Z              18 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6779875Z              20 BINARY_SUBSCR
2022-11-23T02:04:38.6780010Z              22 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6780117Z              24 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6780238Z              26 BINARY_SUBSCR
2022-11-23T02:04:38.6780375Z              28 LOAD_CONST               3 (2)
2022-11-23T02:04:38.6780493Z              30 BINARY_SUBSCR
2022-11-23T02:04:38.6780627Z              32 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6780760Z              34 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6780877Z              36 BINARY_SUBSCR
2022-11-23T02:04:38.6780986Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6781104Z              40 BINARY_SUBSCR
2022-11-23T02:04:38.6781239Z              42 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6781433Z              44 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6781552Z              46 BINARY_SUBSCR
2022-11-23T02:04:38.6781684Z              48 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6781798Z              50 BINARY_SUBSCR
2022-11-23T02:04:38.6781907Z              52 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6782039Z              54 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6782159Z              56 BINARY_SUBSCR
2022-11-23T02:04:38.6782290Z              58 LOAD_CONST               3 (2)
2022-11-23T02:04:38.6782404Z              60 BINARY_SUBSCR
2022-11-23T02:04:38.6782542Z              62 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6782674Z              64 LOAD_CONST               3 (2)
2022-11-23T02:04:38.6782768Z              66 BINARY_SUBSCR
2022-11-23T02:04:38.6782900Z              68 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6783011Z              70 BINARY_SUBSCR
2022-11-23T02:04:38.6783142Z              72 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6783272Z              74 LOAD_CONST               3 (2)
2022-11-23T02:04:38.6783397Z              76 BINARY_SUBSCR
2022-11-23T02:04:38.6783533Z              78 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6783625Z              80 BINARY_SUBSCR
2022-11-23T02:04:38.6783767Z              82 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6783991Z              84 LOAD_CONST               3 (2)
2022-11-23T02:04:38.6784108Z              86 BINARY_SUBSCR
2022-11-23T02:04:38.6784237Z              88 LOAD_CONST               3 (2)
2022-11-23T02:04:38.6784353Z              90 BINARY_SUBSCR
2022-11-23T02:04:38.6784494Z              92 CALL_FUNCTION            9
2022-11-23T02:04:38.6784629Z              94 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.6784818Z              96 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:38.6785017Z              98 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:38.6785153Z             100 CALL_FUNCTION            0
2022-11-23T02:04:38.6785300Z             102 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:38.6785449Z             104 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6785588Z             106 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6785681Z             108 BINARY_SUBSCR
2022-11-23T02:04:38.6785836Z             110 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6785973Z             112 LOAD_CONST               2 (1)
2022-11-23T02:04:38.6786089Z             114 BINARY_SUBSCR
2022-11-23T02:04:38.6786239Z             116 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6786425Z             118 LOAD_CONST               3 (2)
2022-11-23T02:04:38.6786547Z             120 BINARY_SUBSCR
2022-11-23T02:04:38.6786680Z             122 BUILD_TUPLE              3
2022-11-23T02:04:38.6786806Z             124 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6786937Z             126 LOAD_CONST               4 (3)
2022-11-23T02:04:38.6787050Z             128 BINARY_SUBSCR
2022-11-23T02:04:38.6787182Z             130 LOAD_CONST               0 (None)
2022-11-23T02:04:38.6787315Z             132 LOAD_CONST               0 (None)
2022-11-23T02:04:38.6787443Z             134 BUILD_TUPLE              3
2022-11-23T02:04:38.6787586Z             136 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6787702Z             138 LOAD_CONST               5 (4)
2022-11-23T02:04:38.6787817Z             140 BINARY_SUBSCR
2022-11-23T02:04:38.6787959Z             142 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6788087Z             144 LOAD_CONST               6 (5)
2022-11-23T02:04:38.6788202Z             146 BINARY_SUBSCR
2022-11-23T02:04:38.6788346Z             148 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6788477Z             150 LOAD_CONST               7 (6)
2022-11-23T02:04:38.6788571Z             152 BINARY_SUBSCR
2022-11-23T02:04:38.6788698Z             154 BUILD_TUPLE              3
2022-11-23T02:04:38.6788843Z             156 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6788971Z             158 LOAD_CONST               8 (7)
2022-11-23T02:04:38.6789084Z             160 BINARY_SUBSCR
2022-11-23T02:04:38.6789230Z             162 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6789358Z             164 LOAD_CONST               9 (8)
2022-11-23T02:04:38.6789456Z             166 BINARY_SUBSCR
2022-11-23T02:04:38.6789601Z             168 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.6789729Z             170 LOAD_CONST              10 (9)
2022-11-23T02:04:38.6789839Z             172 BINARY_SUBSCR
2022-11-23T02:04:38.6789971Z             174 BUILD_TUPLE              3
2022-11-23T02:04:38.6790101Z             176 BUILD_TUPLE              4
2022-11-23T02:04:38.6790239Z             178 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6790363Z             180 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:38.6790493Z             182 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6790605Z             184 BINARY_SUBSCR
2022-11-23T02:04:38.6790750Z             186 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:38.6790883Z             188 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6791024Z             190 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:38.6791213Z             192 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6791307Z             194 BINARY_SUBSCR
2022-11-23T02:04:38.6791452Z             196 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:38.6791562Z             198 RETURN_VALUE
2022-11-23T02:04:38.6791584Z 
2022-11-23T02:04:38.6791680Z  
2022-11-23T02:04:38.6791986Z [2022-11-23 01:52:25,585] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6792097Z  - 
2022-11-23T02:04:38.6792266Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6792346Z             {
2022-11-23T02:04:38.6792541Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6792797Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:38.6792967Z                 'obj_weakref': None
2022-11-23T02:04:38.6793277Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6793376Z             }
2022-11-23T02:04:38.6793473Z             
2022-11-23T02:04:38.6793644Z  - 
2022-11-23T02:04:38.6793800Z             local 'ex[0]' LIST_LENGTH
2022-11-23T02:04:38.6793898Z             {
2022-11-23T02:04:38.6794096Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6794411Z                 'code': ['___check_type_id(ex[0], 93849050132032)', 'len(ex[0]) == 3'],
2022-11-23T02:04:38.6794588Z                 'obj_weakref': None
2022-11-23T02:04:38.6794897Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:38.6794997Z             }
2022-11-23T02:04:38.6795073Z             
2022-11-23T02:04:38.6795177Z  - 
2022-11-23T02:04:38.6795349Z             local 'ex[1]' LIST_LENGTH
2022-11-23T02:04:38.6795446Z             {
2022-11-23T02:04:38.6795641Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6795906Z                 'code': ['___check_type_id(ex[1], 93849050132032)', 'len(ex[1]) == 3'],
2022-11-23T02:04:38.6796073Z                 'obj_weakref': None
2022-11-23T02:04:38.6796367Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:38.6796468Z             }
2022-11-23T02:04:38.6796560Z             
2022-11-23T02:04:38.6796666Z  - 
2022-11-23T02:04:38.6796842Z             local 'ex[2]' LIST_LENGTH
2022-11-23T02:04:38.6796941Z             {
2022-11-23T02:04:38.6797120Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6797382Z                 'code': ['___check_type_id(ex[2], 93849050132032)', 'len(ex[2]) == 3'],
2022-11-23T02:04:38.6797546Z                 'obj_weakref': None
2022-11-23T02:04:38.6797847Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:38.6797943Z             }
2022-11-23T02:04:38.6798039Z             
2022-11-23T02:04:38.6798148Z  - 
2022-11-23T02:04:38.6798313Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.6798420Z             {
2022-11-23T02:04:38.6798610Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6798855Z                 'code': ['___check_obj_id(model, 140347488479280)'],
2022-11-23T02:04:38.6799028Z                 'obj_weakref': None
2022-11-23T02:04:38.6799341Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.6799453Z             }
2022-11-23T02:04:38.6799552Z             
2022-11-23T02:04:38.6799639Z  - 
2022-11-23T02:04:38.6799818Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6799921Z             {
2022-11-23T02:04:38.6800120Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6800418Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6800591Z                 'obj_weakref': None
2022-11-23T02:04:38.6800899Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6800976Z             }
2022-11-23T02:04:38.6801076Z             
2022-11-23T02:04:38.6801253Z  - 
2022-11-23T02:04:38.6801445Z             local 'ex[0][0]' TENSOR_MATCH
2022-11-23T02:04:38.6801546Z             {
2022-11-23T02:04:38.6801751Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6801886Z                 'code': None,
2022-11-23T02:04:38.6802184Z                 'obj_weakref': <weakref at 0x7fa531fec040; to 'Tensor' at 0x7fa6237e1760>
2022-11-23T02:04:38.6802532Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6802631Z             }
2022-11-23T02:04:38.6802731Z             
2022-11-23T02:04:38.6802840Z  - 
2022-11-23T02:04:38.6803028Z             local 'ex[0][1]' TENSOR_MATCH
2022-11-23T02:04:38.6803106Z             {
2022-11-23T02:04:38.6803310Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6803472Z                 'code': None,
2022-11-23T02:04:38.6803765Z                 'obj_weakref': <weakref at 0x7fa531ec71f0; to 'Tensor' at 0x7fa6237e1490>
2022-11-23T02:04:38.6804117Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6804223Z             }
2022-11-23T02:04:38.6804321Z             
2022-11-23T02:04:38.6804431Z  - 
2022-11-23T02:04:38.6804701Z             local 'ex[0][2]' TENSOR_MATCH
2022-11-23T02:04:38.6804808Z             {
2022-11-23T02:04:38.6805012Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6805172Z                 'code': None,
2022-11-23T02:04:38.6805463Z                 'obj_weakref': <weakref at 0x7fa531ec63e0; to 'Tensor' at 0x7fa6237e1850>
2022-11-23T02:04:38.6805807Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6805910Z             }
2022-11-23T02:04:38.6805988Z             
2022-11-23T02:04:38.6806099Z  - 
2022-11-23T02:04:38.6806289Z             local 'ex[1][0]' TENSOR_MATCH
2022-11-23T02:04:38.6806391Z             {
2022-11-23T02:04:38.6806597Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6806756Z                 'code': None,
2022-11-23T02:04:38.6807113Z                 'obj_weakref': <weakref at 0x7fa531ec5030; to 'Tensor' at 0x7fa531fc3ab0>
2022-11-23T02:04:38.6807440Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6807548Z             }
2022-11-23T02:04:38.6807650Z             
2022-11-23T02:04:38.6807763Z  - 
2022-11-23T02:04:38.6807951Z             local 'ex[1][1]' TENSOR_MATCH
2022-11-23T02:04:38.6808055Z             {
2022-11-23T02:04:38.6808262Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6808397Z                 'code': None,
2022-11-23T02:04:38.6808685Z                 'obj_weakref': <weakref at 0x7fa531ec6250; to 'Tensor' at 0x7fa531fc35b0>
2022-11-23T02:04:38.6809026Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6809129Z             }
2022-11-23T02:04:38.6809228Z             
2022-11-23T02:04:38.6809336Z  - 
2022-11-23T02:04:38.6809519Z             local 'ex[1][2]' TENSOR_MATCH
2022-11-23T02:04:38.6809598Z             {
2022-11-23T02:04:38.6809801Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6809962Z                 'code': None,
2022-11-23T02:04:38.6810254Z                 'obj_weakref': <weakref at 0x7fa531ec4ea0; to 'Tensor' at 0x7fa531fc2ed0>
2022-11-23T02:04:38.6810597Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6810701Z             }
2022-11-23T02:04:38.6810805Z             
2022-11-23T02:04:38.6810897Z  - 
2022-11-23T02:04:38.6811081Z             local 'ex[2][0]' TENSOR_MATCH
2022-11-23T02:04:38.6811188Z             {
2022-11-23T02:04:38.6811389Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6811554Z                 'code': None,
2022-11-23T02:04:38.6811841Z                 'obj_weakref': <weakref at 0x7fa531ec4fe0; to 'Tensor' at 0x7fa531f7d530>
2022-11-23T02:04:38.6812264Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6812342Z             }
2022-11-23T02:04:38.6812449Z             
2022-11-23T02:04:38.6812558Z  - 
2022-11-23T02:04:38.6812744Z             local 'ex[2][1]' TENSOR_MATCH
2022-11-23T02:04:38.6812848Z             {
2022-11-23T02:04:38.6813054Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6813215Z                 'code': None,
2022-11-23T02:04:38.6813475Z                 'obj_weakref': <weakref at 0x7fa531ec7920; to 'Tensor' at 0x7fa531fefbf0>
2022-11-23T02:04:38.6813822Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6813929Z             }
2022-11-23T02:04:38.6814030Z             
2022-11-23T02:04:38.6814139Z  - 
2022-11-23T02:04:38.6814324Z             local 'ex[2][2]' TENSOR_MATCH
2022-11-23T02:04:38.6814434Z             {
2022-11-23T02:04:38.6814612Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6814770Z                 'code': None,
2022-11-23T02:04:38.6815124Z                 'obj_weakref': <weakref at 0x7fa531ec7830; to 'Tensor' at 0x7fa531feca40>
2022-11-23T02:04:38.6815481Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6815580Z             }
2022-11-23T02:04:38.6815685Z             
2022-11-23T02:04:38.6815796Z  - 
2022-11-23T02:04:38.6816562Z             local 'model.__closure__[0].cell_contents' CONSTANT_MATCH
2022-11-23T02:04:38.6816759Z             {
2022-11-23T02:04:38.6817124Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:38.6817764Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050129792)', 'model.__closure__[0].cell_contents == 4'],
2022-11-23T02:04:38.6818055Z                 'obj_weakref': None
2022-11-23T02:04:38.6818513Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:38.6818623Z             }
2022-11-23T02:04:38.6818699Z             
2022-11-23T02:04:38.6818811Z  - 
2022-11-23T02:04:38.6819012Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.6819116Z             {
2022-11-23T02:04:38.6819293Z                 'guard_types': None,
2022-11-23T02:04:38.6819451Z                 'code': None,
2022-11-23T02:04:38.6819624Z                 'obj_weakref': None
2022-11-23T02:04:38.6819777Z                 'guarded_class': None
2022-11-23T02:04:38.6819879Z             }
2022-11-23T02:04:38.6819980Z             
2022-11-23T02:04:38.6820343Z [2022-11-23 01:52:25,616] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 63
2022-11-23T02:04:38.6820838Z [2022-11-23 01:52:25,666] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jn/cjn2gdsbses4sdmgogfc6zh2ujfoinqq4jl2szxufhey4yyxneg7.py
2022-11-23T02:04:38.6821203Z [2022-11-23 01:52:25,666] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 63
2022-11-23T02:04:38.6821621Z [2022-11-23 01:52:25,673] torch._dynamo.eval_frame: [DEBUG] skipping make_cell /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py
2022-11-23T02:04:38.6821648Z 
2022-11-23T02:04:38.6821795Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6821882Z import torch
2022-11-23T02:04:38.6821997Z import random
2022-11-23T02:04:38.6822211Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6822356Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6822366Z 
2022-11-23T02:04:38.6822518Z aten = torch.ops.aten
2022-11-23T02:04:38.6822718Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6822811Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6822831Z 
2022-11-23T02:04:38.6822849Z 
2022-11-23T02:04:38.6822980Z async_compile.wait(globals())
2022-11-23T02:04:38.6823252Z del async_compile
2022-11-23T02:04:38.6823272Z 
2022-11-23T02:04:38.6823395Z def call(args):
2022-11-23T02:04:38.6823577Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1 = args
2022-11-23T02:04:38.6823690Z     args.clear()
2022-11-23T02:04:38.6823921Z     buf0 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True])
2022-11-23T02:04:38.6824030Z     buf1 = buf0[0]
2022-11-23T02:04:38.6824184Z     assert_size_stride(buf1, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T02:04:38.6824290Z     buf2 = buf0[1]
2022-11-23T02:04:38.6824422Z     assert_size_stride(buf2, (4, 4, 3, 3), (36, 9, 3, 1))
2022-11-23T02:04:38.6824528Z     buf3 = buf0[2]
2022-11-23T02:04:38.6824666Z     assert_size_stride(buf3, (4, ), (1, ))
2022-11-23T02:04:38.6824764Z     del buf0
2022-11-23T02:04:38.6824997Z     buf4 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, False, False])
2022-11-23T02:04:38.6825112Z     del arg0_1
2022-11-23T02:04:38.6825216Z     del arg1_1
2022-11-23T02:04:38.6825300Z     del arg2_1
2022-11-23T02:04:38.6825399Z     buf5 = buf4[0]
2022-11-23T02:04:38.6825551Z     assert_size_stride(buf5, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T02:04:38.6825719Z     del buf4
2022-11-23T02:04:38.6825949Z     buf6 = aten.convolution_backward(arg3_1, arg4_1, arg5_1, [4], [1], [0], [1], False, [0], 1, [True, True, True])
2022-11-23T02:04:38.6826053Z     del arg3_1
2022-11-23T02:04:38.6826154Z     del arg4_1
2022-11-23T02:04:38.6826237Z     del arg5_1
2022-11-23T02:04:38.6826341Z     buf7 = buf6[0]
2022-11-23T02:04:38.6826491Z     assert_size_stride(buf7, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T02:04:38.6826595Z     buf8 = buf6[1]
2022-11-23T02:04:38.6826746Z     assert_size_stride(buf8, (4, 4, 3, 3), (36, 9, 3, 1))
2022-11-23T02:04:38.6826851Z     buf9 = buf6[2]
2022-11-23T02:04:38.6826967Z     assert_size_stride(buf9, (4, ), (1, ))
2022-11-23T02:04:38.6827072Z     del buf6
2022-11-23T02:04:38.6827313Z     buf10 = aten.convolution_backward(arg6_1, arg7_1, arg8_1, [4], [1, 1, 1], [0, 0, 0], [1, 1, 1], False, [0, 0, 0], 1, [True, True, True])
2022-11-23T02:04:38.6827455Z     del arg6_1
2022-11-23T02:04:38.6827564Z     del arg7_1
2022-11-23T02:04:38.6827619Z     del arg8_1
2022-11-23T02:04:38.6827758Z     buf11 = buf10[0]
2022-11-23T02:04:38.6827870Z     assert_size_stride(buf11, (3, 4, 5, 5, 5), (500, 125, 25, 5, 1))
2022-11-23T02:04:38.6827977Z     buf12 = buf10[1]
2022-11-23T02:04:38.6828130Z     assert_size_stride(buf12, (4, 4, 3, 3, 3), (108, 27, 9, 3, 1))
2022-11-23T02:04:38.6828235Z     buf13 = buf10[2]
2022-11-23T02:04:38.6828373Z     assert_size_stride(buf13, (4, ), (1, ))
2022-11-23T02:04:38.6828475Z     del buf10
2022-11-23T02:04:38.6828659Z     return (buf1, buf2, buf3, buf5, buf7, buf8, buf9, buf11, buf12, buf13, )
2022-11-23T02:04:38.6828679Z 
2022-11-23T02:04:38.6828697Z 
2022-11-23T02:04:38.6828814Z if __name__ == "__main__":
2022-11-23T02:04:38.6828957Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6829137Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6829450Z     arg0_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6829744Z     arg1_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6830030Z     arg2_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6830307Z     arg3_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6830589Z     arg4_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6830867Z     arg5_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6831145Z     arg6_1 = rand_strided((3, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6831451Z     arg7_1 = rand_strided((3, 4, 5, 5, 5), (500, 125, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6831807Z     arg8_1 = rand_strided((4, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6832034Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1]))
2022-11-23T02:04:38.6832055Z 
2022-11-23T02:04:38.6832159Z ok (0.217s)
2022-11-23T02:04:38.6832579Z   test_conv_bn_fuse_cpu (__main__.CpuTests) ... [2022-11-23 01:52:25,683] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6833009Z [2022-11-23 01:52:25,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6833314Z [2022-11-23 01:52:25,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6833648Z [2022-11-23 01:52:25,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.6833998Z [2022-11-23 01:52:25,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.6834481Z [2022-11-23 01:52:25,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6834943Z [2022-11-23 01:52:25,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6835366Z [2022-11-23 01:52:25,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6835705Z [2022-11-23 01:52:25,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.6836024Z [2022-11-23 01:52:25,709] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6836369Z [2022-11-23 01:52:25,710] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6836716Z [2022-11-23 01:52:25,736] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6836976Z [2022-11-23 01:52:25,737] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6837168Z  __compiled_fn_65 <eval_with_key>.449 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6837281Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6837427Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.6837573Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.6837592Z 
2022-11-23T02:04:38.6838034Z [2022-11-23 01:52:25,738] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6838173Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6838307Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6838439Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6838577Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6838682Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6838815Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6838932Z              12 RETURN_VALUE
2022-11-23T02:04:38.6838954Z 
2022-11-23T02:04:38.6839049Z  
2022-11-23T02:04:38.6839482Z [2022-11-23 01:52:25,738] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6839643Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_65)
2022-11-23T02:04:38.6839775Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6839889Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6840004Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6840133Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.6840266Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.6840456Z              12 RETURN_VALUE
2022-11-23T02:04:38.6840477Z 
2022-11-23T02:04:38.6840571Z  
2022-11-23T02:04:38.6840833Z [2022-11-23 01:52:25,739] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6840947Z  - 
2022-11-23T02:04:38.6841099Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6841198Z             {
2022-11-23T02:04:38.6841399Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6841658Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.6841830Z                 'obj_weakref': None
2022-11-23T02:04:38.6842137Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6842243Z             }
2022-11-23T02:04:38.6842321Z             
2022-11-23T02:04:38.6842437Z  - 
2022-11-23T02:04:38.6842615Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6842716Z             {
2022-11-23T02:04:38.6842915Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6843078Z                 'code': None,
2022-11-23T02:04:38.6843370Z                 'obj_weakref': <weakref at 0x7fa531f16750; to 'Tensor' at 0x7fa5504e8d10>
2022-11-23T02:04:38.6843757Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6843860Z             }
2022-11-23T02:04:38.6843957Z             
2022-11-23T02:04:38.6844066Z  - 
2022-11-23T02:04:38.6844242Z             local 'model' NN_MODULE
2022-11-23T02:04:38.6844337Z             {
2022-11-23T02:04:38.6844531Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6844748Z                 'code': ['___check_obj_id(model, 140347483609056)'],
2022-11-23T02:04:38.6845048Z                 'obj_weakref': <weakref at 0x7fa531ec4720; to 'Sequential' at 0x7fa531e7d7e0>
2022-11-23T02:04:38.6845372Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.6845475Z             }
2022-11-23T02:04:38.6845573Z             
2022-11-23T02:04:38.6845682Z  - 
2022-11-23T02:04:38.6845855Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6845933Z             {
2022-11-23T02:04:38.6846125Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6846433Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6846607Z                 'obj_weakref': None
2022-11-23T02:04:38.6846912Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6847009Z             }
2022-11-23T02:04:38.6847112Z             
2022-11-23T02:04:38.6847202Z  - 
2022-11-23T02:04:38.6847404Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.6847499Z             {
2022-11-23T02:04:38.6847667Z                 'guard_types': None,
2022-11-23T02:04:38.6847818Z                 'code': None,
2022-11-23T02:04:38.6847983Z                 'obj_weakref': None
2022-11-23T02:04:38.6848160Z                 'guarded_class': None
2022-11-23T02:04:38.6848240Z             }
2022-11-23T02:04:38.6848334Z             
2022-11-23T02:04:38.6848440Z  - 
2022-11-23T02:04:38.6848643Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.6848743Z             {
2022-11-23T02:04:38.6848912Z                 'guard_types': None,
2022-11-23T02:04:38.6849044Z                 'code': None,
2022-11-23T02:04:38.6849211Z                 'obj_weakref': None
2022-11-23T02:04:38.6849383Z                 'guarded_class': None
2022-11-23T02:04:38.6849476Z             }
2022-11-23T02:04:38.6849572Z             
2022-11-23T02:04:38.6849920Z [2022-11-23 01:52:25,758] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 64
2022-11-23T02:04:38.6850416Z [2022-11-23 01:52:25,768] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t2/ct2jtuochcqvhw6lznbzsdg7zqps7ewyrsuaidc6orxynyzhcfyc.py
2022-11-23T02:04:38.6850777Z [2022-11-23 01:52:25,768] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 64
2022-11-23T02:04:38.6851164Z [2022-11-23 01:52:25,774] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6851588Z [2022-11-23 01:52:25,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6851887Z [2022-11-23 01:52:25,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6852216Z [2022-11-23 01:52:25,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.6852579Z [2022-11-23 01:52:25,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.6853000Z [2022-11-23 01:52:25,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6853455Z [2022-11-23 01:52:25,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6853959Z [2022-11-23 01:52:25,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6854301Z [2022-11-23 01:52:25,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.6854622Z [2022-11-23 01:52:25,798] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6854949Z [2022-11-23 01:52:25,800] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6855298Z [2022-11-23 01:52:25,827] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6855561Z [2022-11-23 01:52:25,827] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6855753Z  __compiled_fn_66 <eval_with_key>.460 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6855890Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6856446Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.6856711Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.6856747Z 
2022-11-23T02:04:38.6857540Z [2022-11-23 01:52:25,828] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6857738Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6857944Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6858142Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6858340Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6858469Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6858599Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6858716Z              12 RETURN_VALUE
2022-11-23T02:04:38.6858743Z 
2022-11-23T02:04:38.6858837Z  
2022-11-23T02:04:38.6859261Z [2022-11-23 01:52:25,828] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6859422Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_66)
2022-11-23T02:04:38.6859555Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6859688Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6859801Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6859927Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.6860058Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.6860150Z              12 RETURN_VALUE
2022-11-23T02:04:38.6860170Z 
2022-11-23T02:04:38.6860263Z  
2022-11-23T02:04:38.6860516Z [2022-11-23 01:52:25,829] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6860621Z  - 
2022-11-23T02:04:38.6860789Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6861056Z             {
2022-11-23T02:04:38.6861260Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6861495Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.6861666Z                 'obj_weakref': None
2022-11-23T02:04:38.6861975Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6862074Z             }
2022-11-23T02:04:38.6862169Z             
2022-11-23T02:04:38.6862278Z  - 
2022-11-23T02:04:38.6862457Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6862537Z             {
2022-11-23T02:04:38.6862735Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6862890Z                 'code': None,
2022-11-23T02:04:38.6863214Z                 'obj_weakref': <weakref at 0x7fa5320442c0; to 'Tensor' at 0x7fa532046ac0>
2022-11-23T02:04:38.6863556Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6863655Z             }
2022-11-23T02:04:38.6863752Z             
2022-11-23T02:04:38.6863839Z  - 
2022-11-23T02:04:38.6864008Z             local 'model' NN_MODULE
2022-11-23T02:04:38.6864106Z             {
2022-11-23T02:04:38.6864384Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6864636Z                 'code': ['___check_obj_id(model, 140347991872592)'],
2022-11-23T02:04:38.6864930Z                 'obj_weakref': <weakref at 0x7fa531f16a20; to 'Sequential' at 0x7fa550335450>
2022-11-23T02:04:38.6865250Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.6865345Z             }
2022-11-23T02:04:38.6865422Z             
2022-11-23T02:04:38.6865528Z  - 
2022-11-23T02:04:38.6865700Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6865798Z             {
2022-11-23T02:04:38.6865989Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6866283Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6866438Z                 'obj_weakref': None
2022-11-23T02:04:38.6866740Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6866843Z             }
2022-11-23T02:04:38.6866941Z             
2022-11-23T02:04:38.6867047Z  - 
2022-11-23T02:04:38.6867244Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.6867340Z             {
2022-11-23T02:04:38.6867489Z                 'guard_types': None,
2022-11-23T02:04:38.6867640Z                 'code': None,
2022-11-23T02:04:38.6867806Z                 'obj_weakref': None
2022-11-23T02:04:38.6867978Z                 'guarded_class': None
2022-11-23T02:04:38.6868079Z             }
2022-11-23T02:04:38.6868174Z             
2022-11-23T02:04:38.6868280Z  - 
2022-11-23T02:04:38.6868460Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.6868558Z             {
2022-11-23T02:04:38.6868729Z                 'guard_types': None,
2022-11-23T02:04:38.6868882Z                 'code': None,
2022-11-23T02:04:38.6869050Z                 'obj_weakref': None
2022-11-23T02:04:38.6869222Z                 'guarded_class': None
2022-11-23T02:04:38.6869318Z             }
2022-11-23T02:04:38.6869399Z             
2022-11-23T02:04:38.6869755Z [2022-11-23 01:52:25,847] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 65
2022-11-23T02:04:38.6870251Z [2022-11-23 01:52:25,857] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbgo6zg3hxep6ucflulhnkxcskunsqhdf2vi3axeohkbnjducvt.py
2022-11-23T02:04:38.6870609Z [2022-11-23 01:52:25,857] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 65
2022-11-23T02:04:38.6870929Z [2022-11-23 01:52:25,863] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6871352Z [2022-11-23 01:52:25,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6871718Z [2022-11-23 01:52:25,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6872049Z [2022-11-23 01:52:25,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.6872414Z [2022-11-23 01:52:25,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.6872814Z [2022-11-23 01:52:25,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6873262Z [2022-11-23 01:52:25,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6873679Z [2022-11-23 01:52:25,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6874013Z [2022-11-23 01:52:25,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.6874328Z [2022-11-23 01:52:25,889] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6874765Z [2022-11-23 01:52:25,890] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6875111Z [2022-11-23 01:52:25,917] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6875375Z [2022-11-23 01:52:25,917] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6875563Z  __compiled_fn_67 <eval_with_key>.471 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6875674Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6875820Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.6875969Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.6875989Z 
2022-11-23T02:04:38.6876427Z [2022-11-23 01:52:25,918] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6876566Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6876700Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6876827Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6876963Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6877069Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6877199Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6877315Z              12 RETURN_VALUE
2022-11-23T02:04:38.6877339Z 
2022-11-23T02:04:38.6877431Z  
2022-11-23T02:04:38.6877860Z [2022-11-23 01:52:25,918] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6878020Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_67)
2022-11-23T02:04:38.6878161Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6878292Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6878388Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6878516Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.6878646Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.6878758Z              12 RETURN_VALUE
2022-11-23T02:04:38.6878779Z 
2022-11-23T02:04:38.6878872Z  
2022-11-23T02:04:38.6879124Z [2022-11-23 01:52:25,919] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6879230Z  - 
2022-11-23T02:04:38.6879379Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6879476Z             {
2022-11-23T02:04:38.6879674Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6879924Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.6880093Z                 'obj_weakref': None
2022-11-23T02:04:38.6880397Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6880569Z             }
2022-11-23T02:04:38.6880646Z             
2022-11-23T02:04:38.6880753Z  - 
2022-11-23T02:04:38.6880933Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6881032Z             {
2022-11-23T02:04:38.6881236Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6881393Z                 'code': None,
2022-11-23T02:04:38.6881679Z                 'obj_weakref': <weakref at 0x7fa531f14680; to 'Tensor' at 0x7fa5320464d0>
2022-11-23T02:04:38.6882003Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6882103Z             }
2022-11-23T02:04:38.6882198Z             
2022-11-23T02:04:38.6882304Z  - 
2022-11-23T02:04:38.6882476Z             local 'model' NN_MODULE
2022-11-23T02:04:38.6882571Z             {
2022-11-23T02:04:38.6882760Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6882975Z                 'code': ['___check_obj_id(model, 140351389146928)'],
2022-11-23T02:04:38.6883277Z                 'obj_weakref': <weakref at 0x7fa531f328e0; to 'Sequential' at 0x7fa61ab19f30>
2022-11-23T02:04:38.6883649Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.6883752Z             }
2022-11-23T02:04:38.6883847Z             
2022-11-23T02:04:38.6883958Z  - 
2022-11-23T02:04:38.6884128Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6884205Z             {
2022-11-23T02:04:38.6884397Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6884714Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6884885Z                 'obj_weakref': None
2022-11-23T02:04:38.6885234Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6885331Z             }
2022-11-23T02:04:38.6885430Z             
2022-11-23T02:04:38.6885522Z  - 
2022-11-23T02:04:38.6885722Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.6885817Z             {
2022-11-23T02:04:38.6885987Z                 'guard_types': None,
2022-11-23T02:04:38.6886139Z                 'code': None,
2022-11-23T02:04:38.6886442Z                 'obj_weakref': None
2022-11-23T02:04:38.6886609Z                 'guarded_class': None
2022-11-23T02:04:38.6886688Z             }
2022-11-23T02:04:38.6886783Z             
2022-11-23T02:04:38.6886886Z  - 
2022-11-23T02:04:38.6887091Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.6887184Z             {
2022-11-23T02:04:38.6887361Z                 'guard_types': None,
2022-11-23T02:04:38.6887496Z                 'code': None,
2022-11-23T02:04:38.6887662Z                 'obj_weakref': None
2022-11-23T02:04:38.6887830Z                 'guarded_class': None
2022-11-23T02:04:38.6887925Z             }
2022-11-23T02:04:38.6888020Z             
2022-11-23T02:04:38.6888384Z [2022-11-23 01:52:25,937] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 66
2022-11-23T02:04:38.6888863Z [2022-11-23 01:52:25,946] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5b/c5bkvzfu766vcb2szu6f362egmjy4ou2m7jmfo3t3cl63jpoblyo.py
2022-11-23T02:04:38.6889224Z [2022-11-23 01:52:25,947] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 66
2022-11-23T02:04:38.6889530Z [2022-11-23 01:52:25,953] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6889956Z [2022-11-23 01:52:25,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6890254Z [2022-11-23 01:52:25,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6890582Z [2022-11-23 01:52:25,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.6891035Z [2022-11-23 01:52:25,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.6891456Z [2022-11-23 01:52:25,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6891907Z [2022-11-23 01:52:25,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6892326Z [2022-11-23 01:52:25,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6892660Z [2022-11-23 01:52:25,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.6892976Z [2022-11-23 01:52:25,977] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6893301Z [2022-11-23 01:52:25,979] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6893649Z [2022-11-23 01:52:26,006] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6893969Z [2022-11-23 01:52:26,006] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6894163Z  __compiled_fn_68 <eval_with_key>.482 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6894293Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6894437Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.6894582Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.6894604Z 
2022-11-23T02:04:38.6895048Z [2022-11-23 01:52:26,007] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6895167Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6895299Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6895430Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6895568Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6895695Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6895846Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6895944Z              12 RETURN_VALUE
2022-11-23T02:04:38.6896016Z 
2022-11-23T02:04:38.6896501Z  
2022-11-23T02:04:38.6897239Z [2022-11-23 01:52:26,007] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6897504Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_68)
2022-11-23T02:04:38.6897712Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6897925Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6898104Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6898259Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.6898392Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.6898493Z              12 RETURN_VALUE
2022-11-23T02:04:38.6898532Z 
2022-11-23T02:04:38.6898605Z  
2022-11-23T02:04:38.6898867Z [2022-11-23 01:52:26,008] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6898974Z  - 
2022-11-23T02:04:38.6899147Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6899246Z             {
2022-11-23T02:04:38.6899446Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6899680Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.6899852Z                 'obj_weakref': None
2022-11-23T02:04:38.6900156Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6900255Z             }
2022-11-23T02:04:38.6900348Z             
2022-11-23T02:04:38.6900453Z  - 
2022-11-23T02:04:38.6900630Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6900708Z             {
2022-11-23T02:04:38.6900910Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6901249Z                 'code': None,
2022-11-23T02:04:38.6901537Z                 'obj_weakref': <weakref at 0x7fa531ec40e0; to 'Tensor' at 0x7fa5320260c0>
2022-11-23T02:04:38.6901884Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6901984Z             }
2022-11-23T02:04:38.6902081Z             
2022-11-23T02:04:38.6902167Z  - 
2022-11-23T02:04:38.6902335Z             local 'model' NN_MODULE
2022-11-23T02:04:38.6902433Z             {
2022-11-23T02:04:38.6902620Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6902853Z                 'code': ['___check_obj_id(model, 140347994949376)'],
2022-11-23T02:04:38.6903147Z                 'obj_weakref': <weakref at 0x7fa531e6f790; to 'Sequential' at 0x7fa550624700>
2022-11-23T02:04:38.6903470Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.6903572Z             }
2022-11-23T02:04:38.6903648Z             
2022-11-23T02:04:38.6903753Z  - 
2022-11-23T02:04:38.6903924Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6904022Z             {
2022-11-23T02:04:38.6904209Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6904579Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6904758Z                 'obj_weakref': None
2022-11-23T02:04:38.6905043Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6905139Z             }
2022-11-23T02:04:38.6905236Z             
2022-11-23T02:04:38.6905341Z  - 
2022-11-23T02:04:38.6905540Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.6905635Z             {
2022-11-23T02:04:38.6905785Z                 'guard_types': None,
2022-11-23T02:04:38.6905936Z                 'code': None,
2022-11-23T02:04:38.6906104Z                 'obj_weakref': None
2022-11-23T02:04:38.6906279Z                 'guarded_class': None
2022-11-23T02:04:38.6906376Z             }
2022-11-23T02:04:38.6906471Z             
2022-11-23T02:04:38.6906575Z  - 
2022-11-23T02:04:38.6906757Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.6906854Z             {
2022-11-23T02:04:38.6907023Z                 'guard_types': None,
2022-11-23T02:04:38.6907178Z                 'code': None,
2022-11-23T02:04:38.6907346Z                 'obj_weakref': None
2022-11-23T02:04:38.6907521Z                 'guarded_class': None
2022-11-23T02:04:38.6907617Z             }
2022-11-23T02:04:38.6907693Z             
2022-11-23T02:04:38.6908043Z [2022-11-23 01:52:26,025] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 67
2022-11-23T02:04:38.6908533Z [2022-11-23 01:52:26,034] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/il/cilond3i4c23ecbqnj5uhp2h2rvopswcllvrvwhmv5nxksf65kvx.py
2022-11-23T02:04:38.6908890Z [2022-11-23 01:52:26,034] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 67
2022-11-23T02:04:38.6909216Z [2022-11-23 01:52:26,040] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6909641Z [2022-11-23 01:52:26,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6909939Z [2022-11-23 01:52:26,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6910265Z [2022-11-23 01:52:26,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.6910630Z [2022-11-23 01:52:26,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.6911025Z [2022-11-23 01:52:26,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6911476Z [2022-11-23 01:52:26,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6911964Z [2022-11-23 01:52:26,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6912294Z [2022-11-23 01:52:26,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.6912613Z [2022-11-23 01:52:26,065] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6912965Z [2022-11-23 01:52:26,067] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6913306Z [2022-11-23 01:52:26,093] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6913570Z [2022-11-23 01:52:26,094] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6913760Z  __compiled_fn_69 <eval_with_key>.493 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6913875Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6914017Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.6914159Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.6914299Z 
2022-11-23T02:04:38.6914746Z [2022-11-23 01:52:26,094] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6914883Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6915019Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6915145Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6915282Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6915389Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6915517Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6915632Z              12 RETURN_VALUE
2022-11-23T02:04:38.6915657Z 
2022-11-23T02:04:38.6915752Z  
2022-11-23T02:04:38.6916184Z [2022-11-23 01:52:26,094] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6916348Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_69)
2022-11-23T02:04:38.6916486Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6916618Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6916714Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6916844Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.6916974Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.6917088Z              12 RETURN_VALUE
2022-11-23T02:04:38.6917108Z 
2022-11-23T02:04:38.6917199Z  
2022-11-23T02:04:38.6917455Z [2022-11-23 01:52:26,096] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6917562Z  - 
2022-11-23T02:04:38.6917711Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6917808Z             {
2022-11-23T02:04:38.6918017Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6918273Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.6918445Z                 'obj_weakref': None
2022-11-23T02:04:38.6918759Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6918858Z             }
2022-11-23T02:04:38.6918935Z             
2022-11-23T02:04:38.6919044Z  - 
2022-11-23T02:04:38.6919221Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6919320Z             {
2022-11-23T02:04:38.6919521Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6919678Z                 'code': None,
2022-11-23T02:04:38.6919969Z                 'obj_weakref': <weakref at 0x7fa531ef6a20; to 'Tensor' at 0x7fa531f16200>
2022-11-23T02:04:38.6920293Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6920470Z             }
2022-11-23T02:04:38.6920565Z             
2022-11-23T02:04:38.6920673Z  - 
2022-11-23T02:04:38.6920849Z             local 'model' NN_MODULE
2022-11-23T02:04:38.6920948Z             {
2022-11-23T02:04:38.6921141Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6921363Z                 'code': ['___check_obj_id(model, 140347486598288)'],
2022-11-23T02:04:38.6921659Z                 'obj_weakref': <weakref at 0x7fa531ea57b0; to 'Sequential' at 0x7fa532157490>
2022-11-23T02:04:38.6921983Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.6922081Z             }
2022-11-23T02:04:38.6922178Z             
2022-11-23T02:04:38.6922288Z  - 
2022-11-23T02:04:38.6922461Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6922539Z             {
2022-11-23T02:04:38.6922726Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6923025Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6923200Z                 'obj_weakref': None
2022-11-23T02:04:38.6923511Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6923608Z             }
2022-11-23T02:04:38.6923769Z             
2022-11-23T02:04:38.6923863Z  - 
2022-11-23T02:04:38.6924066Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.6924162Z             {
2022-11-23T02:04:38.6924333Z                 'guard_types': None,
2022-11-23T02:04:38.6924483Z                 'code': None,
2022-11-23T02:04:38.6924650Z                 'obj_weakref': None
2022-11-23T02:04:38.6924820Z                 'guarded_class': None
2022-11-23T02:04:38.6924898Z             }
2022-11-23T02:04:38.6924996Z             
2022-11-23T02:04:38.6925099Z  - 
2022-11-23T02:04:38.6925305Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.6925403Z             {
2022-11-23T02:04:38.6925571Z                 'guard_types': None,
2022-11-23T02:04:38.6925734Z                 'code': None,
2022-11-23T02:04:38.6925886Z                 'obj_weakref': None
2022-11-23T02:04:38.6926058Z                 'guarded_class': None
2022-11-23T02:04:38.6926154Z             }
2022-11-23T02:04:38.6926354Z             
2022-11-23T02:04:38.6926719Z [2022-11-23 01:52:26,113] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 68
2022-11-23T02:04:38.6927205Z [2022-11-23 01:52:26,122] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jk/cjkqk26t3q4kjfdd3rtbmmgj5ioxyn3zlnwn2iywex62ojktidei.py
2022-11-23T02:04:38.6927563Z [2022-11-23 01:52:26,122] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 68
2022-11-23T02:04:38.6927865Z [2022-11-23 01:52:26,128] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6928289Z [2022-11-23 01:52:26,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6928606Z [2022-11-23 01:52:26,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6928923Z [2022-11-23 01:52:26,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.6929285Z [2022-11-23 01:52:26,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.6929709Z [2022-11-23 01:52:26,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6930159Z [2022-11-23 01:52:26,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6930579Z [2022-11-23 01:52:26,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6930993Z [2022-11-23 01:52:26,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.6931315Z [2022-11-23 01:52:26,153] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6931644Z [2022-11-23 01:52:26,154] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6931982Z [2022-11-23 01:52:26,181] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6932241Z [2022-11-23 01:52:26,182] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6932431Z  __compiled_fn_70 <eval_with_key>.504 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6932560Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6932705Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.6932852Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.6932874Z 
2022-11-23T02:04:38.6933310Z [2022-11-23 01:52:26,182] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6933453Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6933566Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6933758Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6933900Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6934028Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6934159Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6934273Z              12 RETURN_VALUE
2022-11-23T02:04:38.6934295Z 
2022-11-23T02:04:38.6934391Z  
2022-11-23T02:04:38.6934806Z [2022-11-23 01:52:26,183] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6934964Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_70)
2022-11-23T02:04:38.6935101Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6935233Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6935348Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6935477Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.6935614Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.6935707Z              12 RETURN_VALUE
2022-11-23T02:04:38.6935745Z 
2022-11-23T02:04:38.6935818Z  
2022-11-23T02:04:38.6936531Z [2022-11-23 01:52:26,184] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6936726Z  - 
2022-11-23T02:04:38.6937019Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6937173Z             {
2022-11-23T02:04:38.6937448Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6937708Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.6937859Z                 'obj_weakref': None
2022-11-23T02:04:38.6938165Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6938270Z             }
2022-11-23T02:04:38.6938368Z             
2022-11-23T02:04:38.6938476Z  - 
2022-11-23T02:04:38.6938659Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6938739Z             {
2022-11-23T02:04:38.6938948Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6939100Z                 'code': None,
2022-11-23T02:04:38.6939390Z                 'obj_weakref': <weakref at 0x7fa531f4d620; to 'Tensor' at 0x7fa531fc18f0>
2022-11-23T02:04:38.6939730Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6939826Z             }
2022-11-23T02:04:38.6939922Z             
2022-11-23T02:04:38.6940026Z  - 
2022-11-23T02:04:38.6940178Z             local 'model' NN_MODULE
2022-11-23T02:04:38.6940274Z             {
2022-11-23T02:04:38.6940463Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6940698Z                 'code': ['___check_obj_id(model, 140347990393280)'],
2022-11-23T02:04:38.6941180Z                 'obj_weakref': <weakref at 0x7fa531ef6930; to 'Sequential' at 0x7fa5501cc1c0>
2022-11-23T02:04:38.6941502Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.6941603Z             }
2022-11-23T02:04:38.6941680Z             
2022-11-23T02:04:38.6941785Z  - 
2022-11-23T02:04:38.6941958Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6942055Z             {
2022-11-23T02:04:38.6942245Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6942541Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6942711Z                 'obj_weakref': None
2022-11-23T02:04:38.6942996Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6943095Z             }
2022-11-23T02:04:38.6943189Z             
2022-11-23T02:04:38.6943300Z  - 
2022-11-23T02:04:38.6943504Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.6943600Z             {
2022-11-23T02:04:38.6943770Z                 'guard_types': None,
2022-11-23T02:04:38.6943905Z                 'code': None,
2022-11-23T02:04:38.6944189Z                 'obj_weakref': None
2022-11-23T02:04:38.6944371Z                 'guarded_class': None
2022-11-23T02:04:38.6944473Z             }
2022-11-23T02:04:38.6944567Z             
2022-11-23T02:04:38.6944670Z  - 
2022-11-23T02:04:38.6944856Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.6944953Z             {
2022-11-23T02:04:38.6945150Z                 'guard_types': None,
2022-11-23T02:04:38.6945302Z                 'code': None,
2022-11-23T02:04:38.6945469Z                 'obj_weakref': None
2022-11-23T02:04:38.6945640Z                 'guarded_class': None
2022-11-23T02:04:38.6945736Z             }
2022-11-23T02:04:38.6945812Z             
2022-11-23T02:04:38.6946163Z [2022-11-23 01:52:26,202] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 69
2022-11-23T02:04:38.6946189Z 
2022-11-23T02:04:38.6946324Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6946427Z import torch
2022-11-23T02:04:38.6946531Z import random
2022-11-23T02:04:38.6946703Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6946875Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6946895Z 
2022-11-23T02:04:38.6947011Z aten = torch.ops.aten
2022-11-23T02:04:38.6947181Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6947314Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6947334Z 
2022-11-23T02:04:38.6947352Z 
2022-11-23T02:04:38.6947482Z async_compile.wait(globals())
2022-11-23T02:04:38.6947590Z del async_compile
2022-11-23T02:04:38.6947609Z 
2022-11-23T02:04:38.6947716Z def call(args):
2022-11-23T02:04:38.6947884Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.6947993Z     args.clear()
2022-11-23T02:04:38.6948178Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1)
2022-11-23T02:04:38.6948310Z     assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1))
2022-11-23T02:04:38.6948412Z     del arg0_1
2022-11-23T02:04:38.6948518Z     del arg1_1
2022-11-23T02:04:38.6948618Z     del arg7_1
2022-11-23T02:04:38.6948722Z     return (buf0, )
2022-11-23T02:04:38.6948741Z 
2022-11-23T02:04:38.6948759Z 
2022-11-23T02:04:38.6948871Z if __name__ == "__main__":
2022-11-23T02:04:38.6949028Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6949182Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6949472Z     arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6949737Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6950000Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6950327Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6950588Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6950843Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6951091Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.6951356Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6951574Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.6951595Z 
2022-11-23T02:04:38.6951613Z 
2022-11-23T02:04:38.6951745Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6951847Z import torch
2022-11-23T02:04:38.6951951Z import random
2022-11-23T02:04:38.6952113Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6952283Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6952306Z 
2022-11-23T02:04:38.6952425Z aten = torch.ops.aten
2022-11-23T02:04:38.6952591Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6952724Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6952744Z 
2022-11-23T02:04:38.6952762Z 
2022-11-23T02:04:38.6952944Z async_compile.wait(globals())
2022-11-23T02:04:38.6953061Z del async_compile
2022-11-23T02:04:38.6953080Z 
2022-11-23T02:04:38.6953186Z def call(args):
2022-11-23T02:04:38.6953352Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.6953459Z     args.clear()
2022-11-23T02:04:38.6953644Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4)
2022-11-23T02:04:38.6953777Z     assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1))
2022-11-23T02:04:38.6953881Z     del arg0_1
2022-11-23T02:04:38.6953984Z     del arg1_1
2022-11-23T02:04:38.6954090Z     del arg7_1
2022-11-23T02:04:38.6954197Z     return (buf0, )
2022-11-23T02:04:38.6954220Z 
2022-11-23T02:04:38.6954238Z 
2022-11-23T02:04:38.6954352Z if __name__ == "__main__":
2022-11-23T02:04:38.6954511Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6954664Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6954964Z     arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6955229Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6955491Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6955750Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6956009Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6956264Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6956517Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.6956786Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6957005Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.6957024Z 
2022-11-23T02:04:38.6957043Z 
2022-11-23T02:04:38.6957185Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6957291Z import torch
2022-11-23T02:04:38.6957396Z import random
2022-11-23T02:04:38.6957559Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6957730Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6957749Z 
2022-11-23T02:04:38.6957866Z aten = torch.ops.aten
2022-11-23T02:04:38.6958032Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6958165Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6958185Z 
2022-11-23T02:04:38.6958203Z 
2022-11-23T02:04:38.6958330Z async_compile.wait(globals())
2022-11-23T02:04:38.6958438Z del async_compile
2022-11-23T02:04:38.6958518Z 
2022-11-23T02:04:38.6958630Z def call(args):
2022-11-23T02:04:38.6958796Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.6958904Z     args.clear()
2022-11-23T02:04:38.6959091Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1)
2022-11-23T02:04:38.6959224Z     assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1))
2022-11-23T02:04:38.6959328Z     del arg0_1
2022-11-23T02:04:38.6959429Z     del arg1_1
2022-11-23T02:04:38.6959528Z     del arg7_1
2022-11-23T02:04:38.6959633Z     return (buf0, )
2022-11-23T02:04:38.6959652Z 
2022-11-23T02:04:38.6959670Z 
2022-11-23T02:04:38.6959782Z if __name__ == "__main__":
2022-11-23T02:04:38.6959943Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6960118Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6960388Z     arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6960650Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6960916Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6961170Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6961480Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6961740Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6961981Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.6962262Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6962462Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.6962484Z 
2022-11-23T02:04:38.6962520Z 
2022-11-23T02:04:38.6962637Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6962740Z import torch
2022-11-23T02:04:38.6962854Z import random
2022-11-23T02:04:38.6963016Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6963181Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6963200Z 
2022-11-23T02:04:38.6963317Z aten = torch.ops.aten
2022-11-23T02:04:38.6963505Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6963620Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6963639Z 
2022-11-23T02:04:38.6963657Z 
2022-11-23T02:04:38.6963788Z async_compile.wait(globals())
2022-11-23T02:04:38.6963895Z del async_compile
2022-11-23T02:04:38.6963914Z 
2022-11-23T02:04:38.6964019Z def call(args):
2022-11-23T02:04:38.6964186Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.6964292Z     args.clear()
2022-11-23T02:04:38.6964473Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4)
2022-11-23T02:04:38.6964621Z     assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1))
2022-11-23T02:04:38.6964711Z     del arg0_1
2022-11-23T02:04:38.6964811Z     del arg1_1
2022-11-23T02:04:38.6964911Z     del arg7_1
2022-11-23T02:04:38.6965022Z     return (buf0, )
2022-11-23T02:04:38.6965041Z 
2022-11-23T02:04:38.6965059Z 
2022-11-23T02:04:38.6965173Z if __name__ == "__main__":
2022-11-23T02:04:38.6965338Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6965512Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6965782Z     arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6966114Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6966381Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6966639Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6966899Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6967158Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6967483Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.6967772Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6967978Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.6968018Z 
2022-11-23T02:04:38.6968041Z 
2022-11-23T02:04:38.6968160Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.6968265Z import torch
2022-11-23T02:04:38.6968371Z import random
2022-11-23T02:04:38.6968537Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.6968706Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.6968726Z 
2022-11-23T02:04:38.6968839Z aten = torch.ops.aten
2022-11-23T02:04:38.6969031Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.6969145Z async_compile = AsyncCompile()
2022-11-23T02:04:38.6969168Z 
2022-11-23T02:04:38.6969204Z 
2022-11-23T02:04:38.6969318Z async_compile.wait(globals())
2022-11-23T02:04:38.6969426Z del async_compile
2022-11-23T02:04:38.6969445Z 
2022-11-23T02:04:38.6969552Z def call(args):
2022-11-23T02:04:38.6969767Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.6969881Z     args.clear()
2022-11-23T02:04:38.6970063Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1)
2022-11-23T02:04:38.6970218Z     assert_size_stride(buf0, (1, 32, 110), (3520, 110, 1))
2022-11-23T02:04:38.6970305Z     del arg0_1
2022-11-23T02:04:38.6970406Z     del arg1_1
2022-11-23T02:04:38.6970503Z     del arg7_1
2022-11-23T02:04:38.6970606Z     return (buf0, )
2022-11-23T02:04:38.6970627Z 
2022-11-23T02:04:38.6970646Z 
2022-11-23T02:04:38.6970758Z if __name__ == "__main__":
2022-11-23T02:04:38.6970918Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.6971090Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.6971368Z     arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6971631Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6971892Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6972148Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6972403Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6972653Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6972897Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.6973181Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.6973384Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.6973427Z 
2022-11-23T02:04:38.6973907Z [2022-11-23 01:52:26,212] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hv/chvacu23sujoub7knlimjkkablr24auqimctyvztouh2gaprik4g.py
2022-11-23T02:04:38.6974275Z [2022-11-23 01:52:26,212] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 69
2022-11-23T02:04:38.6974604Z [2022-11-23 01:52:26,218] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6975034Z [2022-11-23 01:52:26,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6975330Z [2022-11-23 01:52:26,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6975658Z [2022-11-23 01:52:26,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.6976496Z [2022-11-23 01:52:26,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.6977562Z [2022-11-23 01:52:26,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6978382Z [2022-11-23 01:52:26,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6978852Z [2022-11-23 01:52:26,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6979165Z [2022-11-23 01:52:26,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.6979483Z [2022-11-23 01:52:26,472] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6979827Z [2022-11-23 01:52:26,474] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6980172Z [2022-11-23 01:52:26,500] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6980433Z [2022-11-23 01:52:26,500] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6980727Z  __compiled_fn_71 <eval_with_key>.515 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6980867Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6981010Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.6981132Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.6981152Z 
2022-11-23T02:04:38.6981589Z [2022-11-23 01:52:26,501] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6981727Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.6981861Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6981988Z               4 BUILD_MAP                0
2022-11-23T02:04:38.6982128Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.6982257Z               8 DICT_MERGE               1
2022-11-23T02:04:38.6982390Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.6982488Z              12 RETURN_VALUE
2022-11-23T02:04:38.6982507Z 
2022-11-23T02:04:38.6982604Z  
2022-11-23T02:04:38.6983038Z [2022-11-23 01:52:26,501] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.6983198Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_71)
2022-11-23T02:04:38.6983327Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.6983457Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.6983571Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.6983702Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.6983815Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.6983926Z              12 RETURN_VALUE
2022-11-23T02:04:38.6983944Z 
2022-11-23T02:04:38.6984042Z  
2022-11-23T02:04:38.6984296Z [2022-11-23 01:52:26,502] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.6984404Z  - 
2022-11-23T02:04:38.6984574Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.6984673Z             {
2022-11-23T02:04:38.6984856Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.6985164Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.6985334Z                 'obj_weakref': None
2022-11-23T02:04:38.6985642Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.6985740Z             }
2022-11-23T02:04:38.6985836Z             
2022-11-23T02:04:38.6985946Z  - 
2022-11-23T02:04:38.6986107Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.6986203Z             {
2022-11-23T02:04:38.6986401Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.6986551Z                 'code': None,
2022-11-23T02:04:38.6986915Z                 'obj_weakref': <weakref at 0x7fa531eb0950; to 'Tensor' at 0x7fa531e85850>
2022-11-23T02:04:38.6987254Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.6987354Z             }
2022-11-23T02:04:38.6987435Z             
2022-11-23T02:04:38.6987540Z  - 
2022-11-23T02:04:38.6987711Z             local 'model' NN_MODULE
2022-11-23T02:04:38.6987809Z             {
2022-11-23T02:04:38.6987999Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.6988233Z                 'code': ['___check_obj_id(model, 140351389145632)'],
2022-11-23T02:04:38.6988533Z                 'obj_weakref': <weakref at 0x7fa532108270; to 'Sequential' at 0x7fa61ab19a20>
2022-11-23T02:04:38.6988837Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.6988941Z             }
2022-11-23T02:04:38.6989037Z             
2022-11-23T02:04:38.6989144Z  - 
2022-11-23T02:04:38.6989320Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.6989417Z             {
2022-11-23T02:04:38.6989608Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.6989952Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.6990130Z                 'obj_weakref': None
2022-11-23T02:04:38.6990434Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.6990531Z             }
2022-11-23T02:04:38.6990627Z             
2022-11-23T02:04:38.6990732Z  - 
2022-11-23T02:04:38.6990935Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.6991012Z             {
2022-11-23T02:04:38.6991182Z                 'guard_types': None,
2022-11-23T02:04:38.6991338Z                 'code': None,
2022-11-23T02:04:38.6991507Z                 'obj_weakref': None
2022-11-23T02:04:38.6991685Z                 'guarded_class': None
2022-11-23T02:04:38.6991784Z             }
2022-11-23T02:04:38.6991887Z             
2022-11-23T02:04:38.6991974Z  - 
2022-11-23T02:04:38.6992177Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.6992273Z             {
2022-11-23T02:04:38.6992445Z                 'guard_types': None,
2022-11-23T02:04:38.6992606Z                 'code': None,
2022-11-23T02:04:38.6992773Z                 'obj_weakref': None
2022-11-23T02:04:38.6992922Z                 'guarded_class': None
2022-11-23T02:04:38.6993020Z             }
2022-11-23T02:04:38.6993114Z             
2022-11-23T02:04:38.6993465Z [2022-11-23 01:52:26,519] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 70
2022-11-23T02:04:38.6993950Z [2022-11-23 01:52:26,528] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jc/cjcycmpbaay4knv4m4j2m23rs7nm7x6au56hvyzsuyku5hrxfcoz.py
2022-11-23T02:04:38.6994305Z [2022-11-23 01:52:26,528] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 70
2022-11-23T02:04:38.6994642Z [2022-11-23 01:52:26,535] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.6995076Z [2022-11-23 01:52:26,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.6995375Z [2022-11-23 01:52:26,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.6995688Z [2022-11-23 01:52:26,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.6996051Z [2022-11-23 01:52:26,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.6996473Z [2022-11-23 01:52:26,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6996919Z [2022-11-23 01:52:26,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6997406Z [2022-11-23 01:52:26,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.6997745Z [2022-11-23 01:52:26,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.6998061Z [2022-11-23 01:52:26,559] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.6998402Z [2022-11-23 01:52:26,561] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.6998747Z [2022-11-23 01:52:26,587] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.6999010Z [2022-11-23 01:52:26,588] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.6999179Z  __compiled_fn_72 <eval_with_key>.526 opcode, name, target, args, kwargs
2022-11-23T02:04:38.6999313Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.6999454Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.6999596Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.6999619Z 
2022-11-23T02:04:38.7000119Z [2022-11-23 01:52:26,588] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7000267Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7000400Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7000507Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7000645Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7000776Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7000912Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7001025Z              12 RETURN_VALUE
2022-11-23T02:04:38.7001046Z 
2022-11-23T02:04:38.7001144Z  
2022-11-23T02:04:38.7001580Z [2022-11-23 01:52:26,589] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7001740Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_72)
2022-11-23T02:04:38.7001854Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7001991Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7002106Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7002233Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7002367Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7002484Z              12 RETURN_VALUE
2022-11-23T02:04:38.7002504Z 
2022-11-23T02:04:38.7002594Z  
2022-11-23T02:04:38.7002836Z [2022-11-23 01:52:26,590] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7002948Z  - 
2022-11-23T02:04:38.7003120Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7003218Z             {
2022-11-23T02:04:38.7003421Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7003684Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7003859Z                 'obj_weakref': None
2022-11-23T02:04:38.7004147Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7004247Z             }
2022-11-23T02:04:38.7004346Z             
2022-11-23T02:04:38.7004453Z  - 
2022-11-23T02:04:38.7004631Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7004729Z             {
2022-11-23T02:04:38.7004927Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7005064Z                 'code': None,
2022-11-23T02:04:38.7005352Z                 'obj_weakref': <weakref at 0x7fa5321beed0; to 'Tensor' at 0x7fa532108220>
2022-11-23T02:04:38.7005692Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7005791Z             }
2022-11-23T02:04:38.7005886Z             
2022-11-23T02:04:38.7006079Z  - 
2022-11-23T02:04:38.7006252Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7006329Z             {
2022-11-23T02:04:38.7006521Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7006749Z                 'code': ['___check_obj_id(model, 140347486597616)'],
2022-11-23T02:04:38.7007051Z                 'obj_weakref': <weakref at 0x7fa53214d760; to 'Sequential' at 0x7fa5321571f0>
2022-11-23T02:04:38.7007375Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7007472Z             }
2022-11-23T02:04:38.7007567Z             
2022-11-23T02:04:38.7007654Z  - 
2022-11-23T02:04:38.7007827Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7007920Z             {
2022-11-23T02:04:38.7008109Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7008405Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7008574Z                 'obj_weakref': None
2022-11-23T02:04:38.7008879Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7008974Z             }
2022-11-23T02:04:38.7009051Z             
2022-11-23T02:04:38.7009154Z  - 
2022-11-23T02:04:38.7009460Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7009562Z             {
2022-11-23T02:04:38.7009739Z                 'guard_types': None,
2022-11-23T02:04:38.7009894Z                 'code': None,
2022-11-23T02:04:38.7010042Z                 'obj_weakref': None
2022-11-23T02:04:38.7010213Z                 'guarded_class': None
2022-11-23T02:04:38.7010309Z             }
2022-11-23T02:04:38.7010405Z             
2022-11-23T02:04:38.7010511Z  - 
2022-11-23T02:04:38.7010711Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7010807Z             {
2022-11-23T02:04:38.7010957Z                 'guard_types': None,
2022-11-23T02:04:38.7011108Z                 'code': None,
2022-11-23T02:04:38.7011281Z                 'obj_weakref': None
2022-11-23T02:04:38.7011455Z                 'guarded_class': None
2022-11-23T02:04:38.7011551Z             }
2022-11-23T02:04:38.7011649Z             
2022-11-23T02:04:38.7012005Z [2022-11-23 01:52:26,607] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 71
2022-11-23T02:04:38.7012474Z [2022-11-23 01:52:26,616] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/al/calrwpzvq6bxx6miwie35wa7n3h3aoan2uifrzrgaog7dufzizw2.py
2022-11-23T02:04:38.7012830Z [2022-11-23 01:52:26,616] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 71
2022-11-23T02:04:38.7013152Z [2022-11-23 01:52:26,623] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7013577Z [2022-11-23 01:52:26,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7013875Z [2022-11-23 01:52:26,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7014207Z [2022-11-23 01:52:26,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7014576Z [2022-11-23 01:52:26,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7014993Z [2022-11-23 01:52:26,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7015444Z [2022-11-23 01:52:26,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7015860Z [2022-11-23 01:52:26,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7016832Z [2022-11-23 01:52:26,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7017684Z [2022-11-23 01:52:26,646] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7018294Z [2022-11-23 01:52:26,647] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7018678Z [2022-11-23 01:52:26,672] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7018940Z [2022-11-23 01:52:26,673] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7019129Z  __compiled_fn_73 <eval_with_key>.537 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7019261Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7019406Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7019529Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7019572Z 
2022-11-23T02:04:38.7019986Z [2022-11-23 01:52:26,673] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7020128Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7020258Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7020384Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7020612Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7020747Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7020877Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7020973Z              12 RETURN_VALUE
2022-11-23T02:04:38.7020993Z 
2022-11-23T02:04:38.7021088Z  
2022-11-23T02:04:38.7021574Z [2022-11-23 01:52:26,674] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7021729Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_73)
2022-11-23T02:04:38.7021860Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7021992Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7022108Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7022237Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7022349Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7022460Z              12 RETURN_VALUE
2022-11-23T02:04:38.7022483Z 
2022-11-23T02:04:38.7022575Z  
2022-11-23T02:04:38.7022831Z [2022-11-23 01:52:26,675] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7022939Z  - 
2022-11-23T02:04:38.7023107Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7023203Z             {
2022-11-23T02:04:38.7023381Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7023638Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7023809Z                 'obj_weakref': None
2022-11-23T02:04:38.7024118Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7024218Z             }
2022-11-23T02:04:38.7024322Z             
2022-11-23T02:04:38.7024428Z  - 
2022-11-23T02:04:38.7024586Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7024686Z             {
2022-11-23T02:04:38.7024885Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7025042Z                 'code': None,
2022-11-23T02:04:38.7025335Z                 'obj_weakref': <weakref at 0x7fa532163dd0; to 'Tensor' at 0x7fa61aaa2f20>
2022-11-23T02:04:38.7025680Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7025779Z             }
2022-11-23T02:04:38.7025855Z             
2022-11-23T02:04:38.7025961Z  - 
2022-11-23T02:04:38.7026130Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7026228Z             {
2022-11-23T02:04:38.7026416Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7026649Z                 'code': ['___check_obj_id(model, 140347486593008)'],
2022-11-23T02:04:38.7026946Z                 'obj_weakref': <weakref at 0x7fa532109c10; to 'Sequential' at 0x7fa532155ff0>
2022-11-23T02:04:38.7027316Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7027415Z             }
2022-11-23T02:04:38.7027510Z             
2022-11-23T02:04:38.7027620Z  - 
2022-11-23T02:04:38.7027798Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7027894Z             {
2022-11-23T02:04:38.7028084Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7028360Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7028533Z                 'obj_weakref': None
2022-11-23T02:04:38.7028840Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7028933Z             }
2022-11-23T02:04:38.7029029Z             
2022-11-23T02:04:38.7029135Z  - 
2022-11-23T02:04:38.7029336Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7029417Z             {
2022-11-23T02:04:38.7029588Z                 'guard_types': None,
2022-11-23T02:04:38.7029741Z                 'code': None,
2022-11-23T02:04:38.7029908Z                 'obj_weakref': None
2022-11-23T02:04:38.7030078Z                 'guarded_class': None
2022-11-23T02:04:38.7030244Z             }
2022-11-23T02:04:38.7030347Z             
2022-11-23T02:04:38.7030436Z  - 
2022-11-23T02:04:38.7030635Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7030732Z             {
2022-11-23T02:04:38.7030902Z                 'guard_types': None,
2022-11-23T02:04:38.7031053Z                 'code': None,
2022-11-23T02:04:38.7031217Z                 'obj_weakref': None
2022-11-23T02:04:38.7031367Z                 'guarded_class': None
2022-11-23T02:04:38.7031465Z             }
2022-11-23T02:04:38.7031559Z             
2022-11-23T02:04:38.7031910Z [2022-11-23 01:52:26,691] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 72
2022-11-23T02:04:38.7032407Z [2022-11-23 01:52:26,699] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t2/ct2jtuochcqvhw6lznbzsdg7zqps7ewyrsuaidc6orxynyzhcfyc.py
2022-11-23T02:04:38.7032831Z [2022-11-23 01:52:26,700] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 72
2022-11-23T02:04:38.7033155Z [2022-11-23 01:52:26,706] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7033574Z [2022-11-23 01:52:26,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7033871Z [2022-11-23 01:52:26,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7034181Z [2022-11-23 01:52:26,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7034544Z [2022-11-23 01:52:26,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7034967Z [2022-11-23 01:52:26,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7035420Z [2022-11-23 01:52:26,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7035838Z [2022-11-23 01:52:26,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7036169Z [2022-11-23 01:52:26,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7036485Z [2022-11-23 01:52:26,728] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7036828Z [2022-11-23 01:52:26,730] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7037164Z [2022-11-23 01:52:26,755] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7037490Z [2022-11-23 01:52:26,756] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7037660Z  __compiled_fn_74 <eval_with_key>.548 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7037795Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7037941Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7038086Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7038108Z 
2022-11-23T02:04:38.7038543Z [2022-11-23 01:52:26,756] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7038680Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7038810Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7038937Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7039052Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7039181Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7039311Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7039422Z              12 RETURN_VALUE
2022-11-23T02:04:38.7039442Z 
2022-11-23T02:04:38.7039534Z  
2022-11-23T02:04:38.7040020Z [2022-11-23 01:52:26,756] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7040185Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_74)
2022-11-23T02:04:38.7040299Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7040430Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7040544Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7040673Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7040803Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7040913Z              12 RETURN_VALUE
2022-11-23T02:04:38.7040932Z 
2022-11-23T02:04:38.7041021Z  
2022-11-23T02:04:38.7041284Z [2022-11-23 01:52:26,758] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7041380Z  - 
2022-11-23T02:04:38.7041549Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7041650Z             {
2022-11-23T02:04:38.7041851Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7042111Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7042282Z                 'obj_weakref': None
2022-11-23T02:04:38.7042590Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7042670Z             }
2022-11-23T02:04:38.7042769Z             
2022-11-23T02:04:38.7042874Z  - 
2022-11-23T02:04:38.7043050Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7043148Z             {
2022-11-23T02:04:38.7043346Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7043481Z                 'code': None,
2022-11-23T02:04:38.7043769Z                 'obj_weakref': <weakref at 0x7fa532310f40; to 'Tensor' at 0x7fa53214c400>
2022-11-23T02:04:38.7044114Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7044214Z             }
2022-11-23T02:04:38.7044317Z             
2022-11-23T02:04:38.7044428Z  - 
2022-11-23T02:04:38.7044600Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7044677Z             {
2022-11-23T02:04:38.7044865Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7045094Z                 'code': ['___check_obj_id(model, 140347486599104)'],
2022-11-23T02:04:38.7045388Z                 'obj_weakref': <weakref at 0x7fa532108220; to 'Sequential' at 0x7fa5321577c0>
2022-11-23T02:04:38.7045714Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7045810Z             }
2022-11-23T02:04:38.7045907Z             
2022-11-23T02:04:38.7046013Z  - 
2022-11-23T02:04:38.7046249Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7046344Z             {
2022-11-23T02:04:38.7046542Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7046945Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7047120Z                 'obj_weakref': None
2022-11-23T02:04:38.7047422Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7047520Z             }
2022-11-23T02:04:38.7047598Z             
2022-11-23T02:04:38.7047711Z  - 
2022-11-23T02:04:38.7047913Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7048010Z             {
2022-11-23T02:04:38.7048178Z                 'guard_types': None,
2022-11-23T02:04:38.7048333Z                 'code': None,
2022-11-23T02:04:38.7048502Z                 'obj_weakref': None
2022-11-23T02:04:38.7048655Z                 'guarded_class': None
2022-11-23T02:04:38.7048752Z             }
2022-11-23T02:04:38.7048852Z             
2022-11-23T02:04:38.7048958Z  - 
2022-11-23T02:04:38.7049157Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7049252Z             {
2022-11-23T02:04:38.7049404Z                 'guard_types': None,
2022-11-23T02:04:38.7049624Z                 'code': None,
2022-11-23T02:04:38.7049799Z                 'obj_weakref': None
2022-11-23T02:04:38.7049970Z                 'guarded_class': None
2022-11-23T02:04:38.7050066Z             }
2022-11-23T02:04:38.7050165Z             
2022-11-23T02:04:38.7050519Z [2022-11-23 01:52:26,775] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 73
2022-11-23T02:04:38.7050994Z [2022-11-23 01:52:26,782] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbgo6zg3hxep6ucflulhnkxcskunsqhdf2vi3axeohkbnjducvt.py
2022-11-23T02:04:38.7051358Z [2022-11-23 01:52:26,783] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 73
2022-11-23T02:04:38.7051691Z [2022-11-23 01:52:26,789] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7052119Z [2022-11-23 01:52:26,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7052424Z [2022-11-23 01:52:26,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7052756Z [2022-11-23 01:52:26,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7053123Z [2022-11-23 01:52:26,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7053543Z [2022-11-23 01:52:26,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7053990Z [2022-11-23 01:52:26,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7054414Z [2022-11-23 01:52:26,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7054733Z [2022-11-23 01:52:26,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7055055Z [2022-11-23 01:52:26,811] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7055406Z [2022-11-23 01:52:26,813] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7055749Z [2022-11-23 01:52:26,840] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7056013Z [2022-11-23 01:52:26,841] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7056854Z  __compiled_fn_75 <eval_with_key>.559 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7057074Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7057564Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7057780Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7057837Z 
2022-11-23T02:04:38.7058516Z [2022-11-23 01:52:26,841] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7058662Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7058796Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7058923Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7059056Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7059185Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7059314Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7059408Z              12 RETURN_VALUE
2022-11-23T02:04:38.7059446Z 
2022-11-23T02:04:38.7059521Z  
2022-11-23T02:04:38.7059957Z [2022-11-23 01:52:26,841] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7060120Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_75)
2022-11-23T02:04:38.7060252Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7060471Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7060595Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7060725Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7060838Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7060954Z              12 RETURN_VALUE
2022-11-23T02:04:38.7060975Z 
2022-11-23T02:04:38.7061069Z  
2022-11-23T02:04:38.7061328Z [2022-11-23 01:52:26,843] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7061437Z  - 
2022-11-23T02:04:38.7061605Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7061703Z             {
2022-11-23T02:04:38.7061880Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7062137Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7062312Z                 'obj_weakref': None
2022-11-23T02:04:38.7062621Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7062727Z             }
2022-11-23T02:04:38.7062825Z             
2022-11-23T02:04:38.7062931Z  - 
2022-11-23T02:04:38.7063086Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7063183Z             {
2022-11-23T02:04:38.7063383Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7063536Z                 'code': None,
2022-11-23T02:04:38.7063830Z                 'obj_weakref': <weakref at 0x7fa532311e40; to 'Tensor' at 0x7fa5bcc09a30>
2022-11-23T02:04:38.7064173Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7064275Z             }
2022-11-23T02:04:38.7064351Z             
2022-11-23T02:04:38.7064457Z  - 
2022-11-23T02:04:38.7064629Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7064725Z             {
2022-11-23T02:04:38.7064915Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7065148Z                 'code': ['___check_obj_id(model, 140347486593680)'],
2022-11-23T02:04:38.7065445Z                 'obj_weakref': <weakref at 0x7fa53210b150; to 'Sequential' at 0x7fa532156290>
2022-11-23T02:04:38.7065746Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7065848Z             }
2022-11-23T02:04:38.7065945Z             
2022-11-23T02:04:38.7066051Z  - 
2022-11-23T02:04:38.7066223Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7066321Z             {
2022-11-23T02:04:38.7066510Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7066785Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7066958Z                 'obj_weakref': None
2022-11-23T02:04:38.7067407Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7067503Z             }
2022-11-23T02:04:38.7067599Z             
2022-11-23T02:04:38.7067708Z  - 
2022-11-23T02:04:38.7067913Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7067990Z             {
2022-11-23T02:04:38.7068159Z                 'guard_types': None,
2022-11-23T02:04:38.7068312Z                 'code': None,
2022-11-23T02:04:38.7068478Z                 'obj_weakref': None
2022-11-23T02:04:38.7068650Z                 'guarded_class': None
2022-11-23T02:04:38.7068749Z             }
2022-11-23T02:04:38.7068843Z             
2022-11-23T02:04:38.7068927Z  - 
2022-11-23T02:04:38.7069127Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7069222Z             {
2022-11-23T02:04:38.7069398Z                 'guard_types': None,
2022-11-23T02:04:38.7069550Z                 'code': None,
2022-11-23T02:04:38.7069719Z                 'obj_weakref': None
2022-11-23T02:04:38.7069903Z                 'guarded_class': None
2022-11-23T02:04:38.7069980Z             }
2022-11-23T02:04:38.7070074Z             
2022-11-23T02:04:38.7070479Z [2022-11-23 01:52:26,859] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 74
2022-11-23T02:04:38.7070501Z 
2022-11-23T02:04:38.7070641Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7070747Z import torch
2022-11-23T02:04:38.7070853Z import random
2022-11-23T02:04:38.7071017Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7071170Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7071189Z 
2022-11-23T02:04:38.7071309Z aten = torch.ops.aten
2022-11-23T02:04:38.7071498Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7071636Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7071656Z 
2022-11-23T02:04:38.7071675Z 
2022-11-23T02:04:38.7071803Z async_compile.wait(globals())
2022-11-23T02:04:38.7071917Z del async_compile
2022-11-23T02:04:38.7071937Z 
2022-11-23T02:04:38.7072046Z def call(args):
2022-11-23T02:04:38.7072218Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7072306Z     args.clear()
2022-11-23T02:04:38.7072495Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4)
2022-11-23T02:04:38.7072650Z     assert_size_stride(buf0, (1, 128, 110), (14080, 110, 1))
2022-11-23T02:04:38.7072753Z     del arg0_1
2022-11-23T02:04:38.7072853Z     del arg1_1
2022-11-23T02:04:38.7072953Z     del arg7_1
2022-11-23T02:04:38.7073061Z     return (buf0, )
2022-11-23T02:04:38.7073080Z 
2022-11-23T02:04:38.7073099Z 
2022-11-23T02:04:38.7073193Z if __name__ == "__main__":
2022-11-23T02:04:38.7073360Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7073534Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7073827Z     arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7074104Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7074369Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7074631Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7074899Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7075138Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7075388Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7075675Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7075893Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7075912Z 
2022-11-23T02:04:38.7075931Z 
2022-11-23T02:04:38.7076066Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7076239Z import torch
2022-11-23T02:04:38.7076346Z import random
2022-11-23T02:04:38.7076512Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7076664Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7076701Z 
2022-11-23T02:04:38.7076802Z aten = torch.ops.aten
2022-11-23T02:04:38.7076989Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7077124Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7077145Z 
2022-11-23T02:04:38.7077164Z 
2022-11-23T02:04:38.7077293Z async_compile.wait(globals())
2022-11-23T02:04:38.7077401Z del async_compile
2022-11-23T02:04:38.7077420Z 
2022-11-23T02:04:38.7077528Z def call(args):
2022-11-23T02:04:38.7077700Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7077788Z     args.clear()
2022-11-23T02:04:38.7077969Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1)
2022-11-23T02:04:38.7078121Z     assert_size_stride(buf0, (1, 32, 108), (3456, 108, 1))
2022-11-23T02:04:38.7078226Z     del arg0_1
2022-11-23T02:04:38.7078326Z     del arg1_1
2022-11-23T02:04:38.7078428Z     del arg7_1
2022-11-23T02:04:38.7078536Z     return (buf0, )
2022-11-23T02:04:38.7078556Z 
2022-11-23T02:04:38.7078574Z 
2022-11-23T02:04:38.7078782Z if __name__ == "__main__":
2022-11-23T02:04:38.7078933Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7079107Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7079399Z     arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7079662Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7079929Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7080184Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7080441Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7080702Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7080929Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7081215Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7081435Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7081455Z 
2022-11-23T02:04:38.7081473Z 
2022-11-23T02:04:38.7081607Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7081716Z import torch
2022-11-23T02:04:38.7081824Z import random
2022-11-23T02:04:38.7081990Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7082162Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7082180Z 
2022-11-23T02:04:38.7082278Z aten = torch.ops.aten
2022-11-23T02:04:38.7082462Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7082603Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7082622Z 
2022-11-23T02:04:38.7082642Z 
2022-11-23T02:04:38.7082773Z async_compile.wait(globals())
2022-11-23T02:04:38.7082884Z del async_compile
2022-11-23T02:04:38.7082903Z 
2022-11-23T02:04:38.7083011Z def call(args):
2022-11-23T02:04:38.7083183Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7083294Z     args.clear()
2022-11-23T02:04:38.7083458Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4)
2022-11-23T02:04:38.7083611Z     assert_size_stride(buf0, (1, 128, 108), (13824, 108, 1))
2022-11-23T02:04:38.7083716Z     del arg0_1
2022-11-23T02:04:38.7083818Z     del arg1_1
2022-11-23T02:04:38.7083921Z     del arg7_1
2022-11-23T02:04:38.7084027Z     return (buf0, )
2022-11-23T02:04:38.7084046Z 
2022-11-23T02:04:38.7084064Z 
2022-11-23T02:04:38.7084178Z if __name__ == "__main__":
2022-11-23T02:04:38.7084325Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7084575Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7084866Z     arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7085236Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7085508Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7085770Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7086032Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7086293Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7086520Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7086808Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7087027Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7087051Z 
2022-11-23T02:04:38.7087070Z 
2022-11-23T02:04:38.7087208Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7087313Z import torch
2022-11-23T02:04:38.7087420Z import random
2022-11-23T02:04:38.7087651Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7087837Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7087856Z 
2022-11-23T02:04:38.7087953Z aten = torch.ops.aten
2022-11-23T02:04:38.7088142Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7088276Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7088295Z 
2022-11-23T02:04:38.7088314Z 
2022-11-23T02:04:38.7088442Z async_compile.wait(globals())
2022-11-23T02:04:38.7088551Z del async_compile
2022-11-23T02:04:38.7088570Z 
2022-11-23T02:04:38.7088675Z def call(args):
2022-11-23T02:04:38.7088841Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7088951Z     args.clear()
2022-11-23T02:04:38.7089112Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1)
2022-11-23T02:04:38.7089258Z     assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1))
2022-11-23T02:04:38.7089366Z     del arg0_1
2022-11-23T02:04:38.7089469Z     del arg1_1
2022-11-23T02:04:38.7089570Z     del arg7_1
2022-11-23T02:04:38.7089677Z     return (buf0, )
2022-11-23T02:04:38.7089696Z 
2022-11-23T02:04:38.7089714Z 
2022-11-23T02:04:38.7089827Z if __name__ == "__main__":
2022-11-23T02:04:38.7089969Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7090142Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7090430Z     arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7090691Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7090952Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7091214Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7091470Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7091731Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7091962Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7092247Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7092465Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7092484Z 
2022-11-23T02:04:38.7092502Z 
2022-11-23T02:04:38.7092641Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7092747Z import torch
2022-11-23T02:04:38.7092852Z import random
2022-11-23T02:04:38.7093017Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7093190Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7093276Z 
2022-11-23T02:04:38.7093379Z aten = torch.ops.aten
2022-11-23T02:04:38.7093567Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7093699Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7093719Z 
2022-11-23T02:04:38.7093737Z 
2022-11-23T02:04:38.7093871Z async_compile.wait(globals())
2022-11-23T02:04:38.7093980Z del async_compile
2022-11-23T02:04:38.7093999Z 
2022-11-23T02:04:38.7094106Z def call(args):
2022-11-23T02:04:38.7094270Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7094380Z     args.clear()
2022-11-23T02:04:38.7094543Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4)
2022-11-23T02:04:38.7094695Z     assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1))
2022-11-23T02:04:38.7094800Z     del arg0_1
2022-11-23T02:04:38.7094903Z     del arg1_1
2022-11-23T02:04:38.7095005Z     del arg7_1
2022-11-23T02:04:38.7095115Z     return (buf0, )
2022-11-23T02:04:38.7095138Z 
2022-11-23T02:04:38.7095156Z 
2022-11-23T02:04:38.7095273Z if __name__ == "__main__":
2022-11-23T02:04:38.7095438Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7095590Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7095936Z     arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7096862Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7097316Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7097763Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7098202Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7098513Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7098760Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7099038Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7099255Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7099275Z 
2022-11-23T02:04:38.7099768Z [2022-11-23 01:52:26,867] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5b/c5bkvzfu766vcb2szu6f362egmjy4ou2m7jmfo3t3cl63jpoblyo.py
2022-11-23T02:04:38.7100124Z [2022-11-23 01:52:26,868] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 74
2022-11-23T02:04:38.7100448Z [2022-11-23 01:52:26,874] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7100869Z [2022-11-23 01:52:26,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7101167Z [2022-11-23 01:52:26,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7101500Z [2022-11-23 01:52:26,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7101862Z [2022-11-23 01:52:26,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7102263Z [2022-11-23 01:52:26,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7102711Z [2022-11-23 01:52:26,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7103134Z [2022-11-23 01:52:26,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7103471Z [2022-11-23 01:52:26,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7103857Z [2022-11-23 01:52:26,896] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7104363Z [2022-11-23 01:52:26,898] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7104709Z [2022-11-23 01:52:26,924] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7104972Z [2022-11-23 01:52:26,924] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7105163Z  __compiled_fn_76 <eval_with_key>.570 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7105297Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7105424Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7105564Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7105585Z 
2022-11-23T02:04:38.7106016Z [2022-11-23 01:52:26,925] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7106154Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7106291Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7106418Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7106554Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7106732Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7106869Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7106982Z              12 RETURN_VALUE
2022-11-23T02:04:38.7107001Z 
2022-11-23T02:04:38.7107095Z  
2022-11-23T02:04:38.7107537Z [2022-11-23 01:52:26,925] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7107693Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_76)
2022-11-23T02:04:38.7107824Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7107951Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7108047Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7108182Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7108313Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7108426Z              12 RETURN_VALUE
2022-11-23T02:04:38.7108446Z 
2022-11-23T02:04:38.7108539Z  
2022-11-23T02:04:38.7108798Z [2022-11-23 01:52:26,926] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7108910Z  - 
2022-11-23T02:04:38.7109062Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7109162Z             {
2022-11-23T02:04:38.7109361Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7109617Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7109786Z                 'obj_weakref': None
2022-11-23T02:04:38.7110091Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7110190Z             }
2022-11-23T02:04:38.7110268Z             
2022-11-23T02:04:38.7110376Z  - 
2022-11-23T02:04:38.7110558Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7110657Z             {
2022-11-23T02:04:38.7110857Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7111010Z                 'code': None,
2022-11-23T02:04:38.7111306Z                 'obj_weakref': <weakref at 0x7fa53214dc60; to 'Tensor' at 0x7fa532109bc0>
2022-11-23T02:04:38.7111629Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7111726Z             }
2022-11-23T02:04:38.7111822Z             
2022-11-23T02:04:38.7111928Z  - 
2022-11-23T02:04:38.7112097Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7112193Z             {
2022-11-23T02:04:38.7112382Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7112597Z                 'code': ['___check_obj_id(model, 140351241551344)'],
2022-11-23T02:04:38.7112891Z                 'obj_weakref': <weakref at 0x7fa5321609f0; to 'Sequential' at 0x7fa611e57df0>
2022-11-23T02:04:38.7113273Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7113369Z             }
2022-11-23T02:04:38.7113466Z             
2022-11-23T02:04:38.7113572Z  - 
2022-11-23T02:04:38.7113742Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7113824Z             {
2022-11-23T02:04:38.7114016Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7114314Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7114481Z                 'obj_weakref': None
2022-11-23T02:04:38.7114788Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7114883Z             }
2022-11-23T02:04:38.7114981Z             
2022-11-23T02:04:38.7115068Z  - 
2022-11-23T02:04:38.7115269Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7115365Z             {
2022-11-23T02:04:38.7115536Z                 'guard_types': None,
2022-11-23T02:04:38.7115700Z                 'code': None,
2022-11-23T02:04:38.7115866Z                 'obj_weakref': None
2022-11-23T02:04:38.7116036Z                 'guarded_class': None
2022-11-23T02:04:38.7116113Z             }
2022-11-23T02:04:38.7116208Z             
2022-11-23T02:04:38.7116371Z  - 
2022-11-23T02:04:38.7116580Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7116676Z             {
2022-11-23T02:04:38.7116846Z                 'guard_types': None,
2022-11-23T02:04:38.7116997Z                 'code': None,
2022-11-23T02:04:38.7117146Z                 'obj_weakref': None
2022-11-23T02:04:38.7117314Z                 'guarded_class': None
2022-11-23T02:04:38.7117408Z             }
2022-11-23T02:04:38.7117505Z             
2022-11-23T02:04:38.7117857Z [2022-11-23 01:52:26,943] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 75
2022-11-23T02:04:38.7118347Z [2022-11-23 01:52:26,951] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/il/cilond3i4c23ecbqnj5uhp2h2rvopswcllvrvwhmv5nxksf65kvx.py
2022-11-23T02:04:38.7118708Z [2022-11-23 01:52:26,952] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 75
2022-11-23T02:04:38.7119034Z [2022-11-23 01:52:26,958] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7119435Z [2022-11-23 01:52:26,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7119729Z [2022-11-23 01:52:26,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7120057Z [2022-11-23 01:52:26,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7120416Z [2022-11-23 01:52:26,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7120837Z [2022-11-23 01:52:26,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7121291Z [2022-11-23 01:52:26,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7121710Z [2022-11-23 01:52:26,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7122045Z [2022-11-23 01:52:26,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7122360Z [2022-11-23 01:52:26,981] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7122703Z [2022-11-23 01:52:26,982] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7123021Z [2022-11-23 01:52:27,007] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7123352Z [2022-11-23 01:52:27,008] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7123540Z  __compiled_fn_77 <eval_with_key>.581 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7123670Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7123815Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7123959Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7123980Z 
2022-11-23T02:04:38.7124415Z [2022-11-23 01:52:27,009] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7124553Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7124668Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7124795Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7124934Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7125059Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7125193Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7125306Z              12 RETURN_VALUE
2022-11-23T02:04:38.7125325Z 
2022-11-23T02:04:38.7125419Z  
2022-11-23T02:04:38.7125901Z [2022-11-23 01:52:27,009] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7126069Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_77)
2022-11-23T02:04:38.7126202Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7126331Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7126445Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7126572Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7126705Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7126815Z              12 RETURN_VALUE
2022-11-23T02:04:38.7126835Z 
2022-11-23T02:04:38.7126908Z  
2022-11-23T02:04:38.7127169Z [2022-11-23 01:52:27,010] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7127338Z  - 
2022-11-23T02:04:38.7127567Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7127665Z             {
2022-11-23T02:04:38.7127860Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7128117Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7128270Z                 'obj_weakref': None
2022-11-23T02:04:38.7128575Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7128675Z             }
2022-11-23T02:04:38.7128767Z             
2022-11-23T02:04:38.7128873Z  - 
2022-11-23T02:04:38.7129050Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7129147Z             {
2022-11-23T02:04:38.7129327Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7129481Z                 'code': None,
2022-11-23T02:04:38.7129768Z                 'obj_weakref': <weakref at 0x7fa53210bdd0; to 'Tensor' at 0x7fa532313510>
2022-11-23T02:04:38.7130115Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7130212Z             }
2022-11-23T02:04:38.7130308Z             
2022-11-23T02:04:38.7130419Z  - 
2022-11-23T02:04:38.7130572Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7130669Z             {
2022-11-23T02:04:38.7130860Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7131095Z                 'code': ['___check_obj_id(model, 140348157204736)'],
2022-11-23T02:04:38.7131390Z                 'obj_weakref': <weakref at 0x7fa532161210; to 'Sequential' at 0x7fa55a0e1900>
2022-11-23T02:04:38.7131711Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7131809Z             }
2022-11-23T02:04:38.7131885Z             
2022-11-23T02:04:38.7131991Z  - 
2022-11-23T02:04:38.7132165Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7132265Z             {
2022-11-23T02:04:38.7132536Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7132832Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7133001Z                 'obj_weakref': None
2022-11-23T02:04:38.7133290Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7133388Z             }
2022-11-23T02:04:38.7133483Z             
2022-11-23T02:04:38.7133599Z  - 
2022-11-23T02:04:38.7133805Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7133900Z             {
2022-11-23T02:04:38.7134072Z                 'guard_types': None,
2022-11-23T02:04:38.7134204Z                 'code': None,
2022-11-23T02:04:38.7134370Z                 'obj_weakref': None
2022-11-23T02:04:38.7134540Z                 'guarded_class': None
2022-11-23T02:04:38.7134635Z             }
2022-11-23T02:04:38.7134731Z             
2022-11-23T02:04:38.7134837Z  - 
2022-11-23T02:04:38.7135046Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7135127Z             {
2022-11-23T02:04:38.7135294Z                 'guard_types': None,
2022-11-23T02:04:38.7135445Z                 'code': None,
2022-11-23T02:04:38.7135610Z                 'obj_weakref': None
2022-11-23T02:04:38.7135846Z                 'guarded_class': None
2022-11-23T02:04:38.7135947Z             }
2022-11-23T02:04:38.7136470Z             
2022-11-23T02:04:38.7137125Z [2022-11-23 01:52:27,028] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 76
2022-11-23T02:04:38.7137989Z [2022-11-23 01:52:27,035] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jk/cjkqk26t3q4kjfdd3rtbmmgj5ioxyn3zlnwn2iywex62ojktidei.py
2022-11-23T02:04:38.7138379Z [2022-11-23 01:52:27,036] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 76
2022-11-23T02:04:38.7138702Z [2022-11-23 01:52:27,042] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7139131Z [2022-11-23 01:52:27,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7139434Z [2022-11-23 01:52:27,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7139765Z [2022-11-23 01:52:27,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7140125Z [2022-11-23 01:52:27,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7140546Z [2022-11-23 01:52:27,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7140973Z [2022-11-23 01:52:27,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7141390Z [2022-11-23 01:52:27,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7141731Z [2022-11-23 01:52:27,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7142054Z [2022-11-23 01:52:27,064] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7142399Z [2022-11-23 01:52:27,066] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7142740Z [2022-11-23 01:52:27,091] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7142999Z [2022-11-23 01:52:27,091] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7143188Z  __compiled_fn_78 <eval_with_key>.592 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7143320Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7143443Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7143756Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7143778Z 
2022-11-23T02:04:38.7144214Z [2022-11-23 01:52:27,092] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7144356Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7144487Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7144613Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7144747Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7144872Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7144984Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7145097Z              12 RETURN_VALUE
2022-11-23T02:04:38.7145117Z 
2022-11-23T02:04:38.7145210Z  
2022-11-23T02:04:38.7145641Z [2022-11-23 01:52:27,092] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7145802Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_78)
2022-11-23T02:04:38.7145935Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7146065Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7146273Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7146409Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7146540Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7146650Z              12 RETURN_VALUE
2022-11-23T02:04:38.7146671Z 
2022-11-23T02:04:38.7146765Z  
2022-11-23T02:04:38.7147025Z [2022-11-23 01:52:27,093] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7147133Z  - 
2022-11-23T02:04:38.7147282Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7147381Z             {
2022-11-23T02:04:38.7147576Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7147835Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7148012Z                 'obj_weakref': None
2022-11-23T02:04:38.7148317Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7148416Z             }
2022-11-23T02:04:38.7148511Z             
2022-11-23T02:04:38.7148598Z  - 
2022-11-23T02:04:38.7148780Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7148877Z             {
2022-11-23T02:04:38.7149079Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7149230Z                 'code': None,
2022-11-23T02:04:38.7149522Z                 'obj_weakref': <weakref at 0x7fa5321bc2c0; to 'Tensor' at 0x7fa53214de40>
2022-11-23T02:04:38.7149868Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7149947Z             }
2022-11-23T02:04:38.7150040Z             
2022-11-23T02:04:38.7150148Z  - 
2022-11-23T02:04:38.7150318Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7150422Z             {
2022-11-23T02:04:38.7150611Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7150824Z                 'code': ['___check_obj_id(model, 140351536757776)'],
2022-11-23T02:04:38.7151128Z                 'obj_weakref': <weakref at 0x7fa53227ec50; to 'Sequential' at 0x7fa6237dfc10>
2022-11-23T02:04:38.7151449Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7151546Z             }
2022-11-23T02:04:38.7151643Z             
2022-11-23T02:04:38.7151750Z  - 
2022-11-23T02:04:38.7151924Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7152002Z             {
2022-11-23T02:04:38.7152191Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7152490Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7152660Z                 'obj_weakref': None
2022-11-23T02:04:38.7152963Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7153122Z             }
2022-11-23T02:04:38.7153219Z             
2022-11-23T02:04:38.7153326Z  - 
2022-11-23T02:04:38.7153512Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7153608Z             {
2022-11-23T02:04:38.7153782Z                 'guard_types': None,
2022-11-23T02:04:38.7153936Z                 'code': None,
2022-11-23T02:04:38.7154104Z                 'obj_weakref': None
2022-11-23T02:04:38.7154275Z                 'guarded_class': None
2022-11-23T02:04:38.7154353Z             }
2022-11-23T02:04:38.7154451Z             
2022-11-23T02:04:38.7154554Z  - 
2022-11-23T02:04:38.7154758Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7154854Z             {
2022-11-23T02:04:38.7155023Z                 'guard_types': None,
2022-11-23T02:04:38.7155171Z                 'code': None,
2022-11-23T02:04:38.7155317Z                 'obj_weakref': None
2022-11-23T02:04:38.7155487Z                 'guarded_class': None
2022-11-23T02:04:38.7155588Z             }
2022-11-23T02:04:38.7155684Z             
2022-11-23T02:04:38.7156037Z [2022-11-23 01:52:27,110] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 77
2022-11-23T02:04:38.7156601Z [2022-11-23 01:52:27,118] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hv/chvacu23sujoub7knlimjkkablr24auqimctyvztouh2gaprik4g.py
2022-11-23T02:04:38.7156967Z [2022-11-23 01:52:27,118] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 77
2022-11-23T02:04:38.7157292Z [2022-11-23 01:52:27,124] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7157695Z [2022-11-23 01:52:27,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7157996Z [2022-11-23 01:52:27,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7158327Z [2022-11-23 01:52:27,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7158687Z [2022-11-23 01:52:27,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7159105Z [2022-11-23 01:52:27,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7159550Z [2022-11-23 01:52:27,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7159971Z [2022-11-23 01:52:27,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7160305Z [2022-11-23 01:52:27,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7160623Z [2022-11-23 01:52:27,148] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7160973Z [2022-11-23 01:52:27,149] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7161298Z [2022-11-23 01:52:27,176] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7161564Z [2022-11-23 01:52:27,176] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7161753Z  __compiled_fn_79 <eval_with_key>.603 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7161884Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7162029Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7162173Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7162195Z 
2022-11-23T02:04:38.7162633Z [2022-11-23 01:52:27,177] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7162772Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7162973Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7163101Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7163239Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7163369Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7163500Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7163615Z              12 RETURN_VALUE
2022-11-23T02:04:38.7163635Z 
2022-11-23T02:04:38.7163725Z  
2022-11-23T02:04:38.7164170Z [2022-11-23 01:52:27,177] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7164308Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_79)
2022-11-23T02:04:38.7164442Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7164578Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7164695Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7164830Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7164962Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7165073Z              12 RETURN_VALUE
2022-11-23T02:04:38.7165091Z 
2022-11-23T02:04:38.7165164Z  
2022-11-23T02:04:38.7165503Z [2022-11-23 01:52:27,179] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7165623Z  - 
2022-11-23T02:04:38.7165795Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7165895Z             {
2022-11-23T02:04:38.7166093Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7166350Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7166502Z                 'obj_weakref': None
2022-11-23T02:04:38.7166810Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7166916Z             }
2022-11-23T02:04:38.7167013Z             
2022-11-23T02:04:38.7167121Z  - 
2022-11-23T02:04:38.7167299Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7167400Z             {
2022-11-23T02:04:38.7167578Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7167730Z                 'code': None,
2022-11-23T02:04:38.7168019Z                 'obj_weakref': <weakref at 0x7fa55a05c450; to 'Tensor' at 0x7fa53214f650>
2022-11-23T02:04:38.7168362Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7168458Z             }
2022-11-23T02:04:38.7168554Z             
2022-11-23T02:04:38.7168662Z  - 
2022-11-23T02:04:38.7168811Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7168908Z             {
2022-11-23T02:04:38.7169094Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7169326Z                 'code': ['___check_obj_id(model, 140351387224000)'],
2022-11-23T02:04:38.7169622Z                 'obj_weakref': <weakref at 0x7fa5321bc130; to 'Sequential' at 0x7fa61a9447c0>
2022-11-23T02:04:38.7169943Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7170045Z             }
2022-11-23T02:04:38.7170122Z             
2022-11-23T02:04:38.7170227Z  - 
2022-11-23T02:04:38.7170400Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7170500Z             {
2022-11-23T02:04:38.7170693Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7170992Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7171164Z                 'obj_weakref': None
2022-11-23T02:04:38.7171452Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7171551Z             }
2022-11-23T02:04:38.7171647Z             
2022-11-23T02:04:38.7171753Z  - 
2022-11-23T02:04:38.7171953Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7172045Z             {
2022-11-23T02:04:38.7181670Z                 'guard_types': None,
2022-11-23T02:04:38.7182277Z                 'code': None,
2022-11-23T02:04:38.7182456Z                 'obj_weakref': None
2022-11-23T02:04:38.7182610Z                 'guarded_class': None
2022-11-23T02:04:38.7182715Z             }
2022-11-23T02:04:38.7182814Z             
2022-11-23T02:04:38.7182931Z  - 
2022-11-23T02:04:38.7183150Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7183251Z             {
2022-11-23T02:04:38.7183489Z                 'guard_types': None,
2022-11-23T02:04:38.7183621Z                 'code': None,
2022-11-23T02:04:38.7183789Z                 'obj_weakref': None
2022-11-23T02:04:38.7183967Z                 'guarded_class': None
2022-11-23T02:04:38.7184066Z             }
2022-11-23T02:04:38.7184166Z             
2022-11-23T02:04:38.7184533Z [2022-11-23 01:52:27,196] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 78
2022-11-23T02:04:38.7185023Z [2022-11-23 01:52:27,203] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jc/cjcycmpbaay4knv4m4j2m23rs7nm7x6au56hvyzsuyku5hrxfcoz.py
2022-11-23T02:04:38.7185464Z [2022-11-23 01:52:27,204] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 78
2022-11-23T02:04:38.7185875Z [2022-11-23 01:52:27,210] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7186320Z [2022-11-23 01:52:27,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7186628Z [2022-11-23 01:52:27,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7186960Z [2022-11-23 01:52:27,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7187331Z [2022-11-23 01:52:27,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7187759Z [2022-11-23 01:52:27,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7188225Z [2022-11-23 01:52:27,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7188653Z [2022-11-23 01:52:27,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7188994Z [2022-11-23 01:52:27,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7189314Z [2022-11-23 01:52:27,232] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7189639Z [2022-11-23 01:52:27,234] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7189986Z [2022-11-23 01:52:27,259] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7190262Z [2022-11-23 01:52:27,260] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7190455Z  __compiled_fn_80 <eval_with_key>.614 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7190596Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7190747Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7190893Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7190920Z 
2022-11-23T02:04:38.7191367Z [2022-11-23 01:52:27,260] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7191490Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7191631Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7191768Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7191911Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7192045Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7192244Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7192363Z              12 RETURN_VALUE
2022-11-23T02:04:38.7192383Z 
2022-11-23T02:04:38.7192457Z  
2022-11-23T02:04:38.7192900Z [2022-11-23 01:52:27,260] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7193059Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_80)
2022-11-23T02:04:38.7193199Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7193336Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7193457Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7193591Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7193731Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7193825Z              12 RETURN_VALUE
2022-11-23T02:04:38.7193846Z 
2022-11-23T02:04:38.7193946Z  
2022-11-23T02:04:38.7194207Z [2022-11-23 01:52:27,262] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7194324Z  - 
2022-11-23T02:04:38.7194497Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7194602Z             {
2022-11-23T02:04:38.7194803Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7195106Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7195291Z                 'obj_weakref': None
2022-11-23T02:04:38.7195614Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7195722Z             }
2022-11-23T02:04:38.7195822Z             
2022-11-23T02:04:38.7195933Z  - 
2022-11-23T02:04:38.7196109Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7196186Z             {
2022-11-23T02:04:38.7196394Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7196562Z                 'code': None,
2022-11-23T02:04:38.7196851Z                 'obj_weakref': <weakref at 0x7fa532161ad0; to 'Tensor' at 0x7fa5321bf970>
2022-11-23T02:04:38.7197200Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7197302Z             }
2022-11-23T02:04:38.7197403Z             
2022-11-23T02:04:38.7197489Z  - 
2022-11-23T02:04:38.7197664Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7197769Z             {
2022-11-23T02:04:38.7197965Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7198208Z                 'code': ['___check_obj_id(model, 140351387564160)'],
2022-11-23T02:04:38.7198512Z                 'obj_weakref': <weakref at 0x7fa53227cc20; to 'Sequential' at 0x7fa61a997880>
2022-11-23T02:04:38.7198840Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7198918Z             }
2022-11-23T02:04:38.7199019Z             
2022-11-23T02:04:38.7199132Z  - 
2022-11-23T02:04:38.7199308Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7199408Z             {
2022-11-23T02:04:38.7199608Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7199906Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7200057Z                 'obj_weakref': None
2022-11-23T02:04:38.7200364Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7200472Z             }
2022-11-23T02:04:38.7200572Z             
2022-11-23T02:04:38.7200681Z  - 
2022-11-23T02:04:38.7200885Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7200985Z             {
2022-11-23T02:04:38.7201133Z                 'guard_types': None,
2022-11-23T02:04:38.7201291Z                 'code': None,
2022-11-23T02:04:38.7201458Z                 'obj_weakref': None
2022-11-23T02:04:38.7201632Z                 'guarded_class': None
2022-11-23T02:04:38.7201730Z             }
2022-11-23T02:04:38.7201830Z             
2022-11-23T02:04:38.7201940Z  - 
2022-11-23T02:04:38.7202123Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7202298Z             {
2022-11-23T02:04:38.7202476Z                 'guard_types': None,
2022-11-23T02:04:38.7202634Z                 'code': None,
2022-11-23T02:04:38.7202801Z                 'obj_weakref': None
2022-11-23T02:04:38.7202976Z                 'guarded_class': None
2022-11-23T02:04:38.7203080Z             }
2022-11-23T02:04:38.7203157Z             
2022-11-23T02:04:38.7203518Z [2022-11-23 01:52:27,278] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 79
2022-11-23T02:04:38.7203539Z 
2022-11-23T02:04:38.7203678Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7203784Z import torch
2022-11-23T02:04:38.7203890Z import random
2022-11-23T02:04:38.7204058Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7204233Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7204254Z 
2022-11-23T02:04:38.7204352Z aten = torch.ops.aten
2022-11-23T02:04:38.7204543Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7204688Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7204708Z 
2022-11-23T02:04:38.7204726Z 
2022-11-23T02:04:38.7204860Z async_compile.wait(globals())
2022-11-23T02:04:38.7204976Z del async_compile
2022-11-23T02:04:38.7205047Z 
2022-11-23T02:04:38.7205163Z def call(args):
2022-11-23T02:04:38.7205339Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7205450Z     args.clear()
2022-11-23T02:04:38.7205614Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1)
2022-11-23T02:04:38.7205771Z     assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1))
2022-11-23T02:04:38.7205877Z     del arg0_1
2022-11-23T02:04:38.7205980Z     del arg1_1
2022-11-23T02:04:38.7206087Z     del arg7_1
2022-11-23T02:04:38.7206197Z     return (buf0, )
2022-11-23T02:04:38.7206216Z 
2022-11-23T02:04:38.7206235Z 
2022-11-23T02:04:38.7206356Z if __name__ == "__main__":
2022-11-23T02:04:38.7206502Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7206683Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7206976Z     arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7207361Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7207629Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7207897Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7208159Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7208418Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7208652Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7208940Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7209166Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7209187Z 
2022-11-23T02:04:38.7209206Z 
2022-11-23T02:04:38.7209349Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7209458Z import torch
2022-11-23T02:04:38.7209576Z import random
2022-11-23T02:04:38.7209746Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7209920Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7209939Z 
2022-11-23T02:04:38.7210040Z aten = torch.ops.aten
2022-11-23T02:04:38.7210232Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7210380Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7210399Z 
2022-11-23T02:04:38.7210417Z 
2022-11-23T02:04:38.7210552Z async_compile.wait(globals())
2022-11-23T02:04:38.7210668Z del async_compile
2022-11-23T02:04:38.7210687Z 
2022-11-23T02:04:38.7210799Z def call(args):
2022-11-23T02:04:38.7210947Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7211133Z     args.clear()
2022-11-23T02:04:38.7211319Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4)
2022-11-23T02:04:38.7211477Z     assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1))
2022-11-23T02:04:38.7211589Z     del arg0_1
2022-11-23T02:04:38.7211702Z     del arg1_1
2022-11-23T02:04:38.7211806Z     del arg7_1
2022-11-23T02:04:38.7211895Z     return (buf0, )
2022-11-23T02:04:38.7211915Z 
2022-11-23T02:04:38.7211933Z 
2022-11-23T02:04:38.7212050Z if __name__ == "__main__":
2022-11-23T02:04:38.7212215Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7212391Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7212688Z     arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7212960Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7213230Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7213496Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7213786Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7214121Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7214385Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7214675Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7214899Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7214919Z 
2022-11-23T02:04:38.7214939Z 
2022-11-23T02:04:38.7215081Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7215193Z import torch
2022-11-23T02:04:38.7215303Z import random
2022-11-23T02:04:38.7215449Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7215632Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7215651Z 
2022-11-23T02:04:38.7215772Z aten = torch.ops.aten
2022-11-23T02:04:38.7215962Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7216583Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7216624Z 
2022-11-23T02:04:38.7216653Z 
2022-11-23T02:04:38.7216883Z async_compile.wait(globals())
2022-11-23T02:04:38.7217065Z del async_compile
2022-11-23T02:04:38.7217090Z 
2022-11-23T02:04:38.7217270Z def call(args):
2022-11-23T02:04:38.7217525Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7217706Z     args.clear()
2022-11-23T02:04:38.7218014Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1)
2022-11-23T02:04:38.7218269Z     assert_size_stride(buf0, (1, 32, 110), (3520, 110, 1))
2022-11-23T02:04:38.7218427Z     del arg0_1
2022-11-23T02:04:38.7218540Z     del arg1_1
2022-11-23T02:04:38.7218646Z     del arg7_1
2022-11-23T02:04:38.7218741Z     return (buf0, )
2022-11-23T02:04:38.7218762Z 
2022-11-23T02:04:38.7218806Z 
2022-11-23T02:04:38.7218900Z if __name__ == "__main__":
2022-11-23T02:04:38.7219069Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7219251Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7219575Z     arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7219845Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7220112Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7220372Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7220609Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7220866Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7221117Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7221595Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7221821Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7221844Z 
2022-11-23T02:04:38.7221862Z 
2022-11-23T02:04:38.7222010Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7222120Z import torch
2022-11-23T02:04:38.7222232Z import random
2022-11-23T02:04:38.7222376Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7222556Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7222575Z 
2022-11-23T02:04:38.7222699Z aten = torch.ops.aten
2022-11-23T02:04:38.7222896Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7223037Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7223056Z 
2022-11-23T02:04:38.7223074Z 
2022-11-23T02:04:38.7223207Z async_compile.wait(globals())
2022-11-23T02:04:38.7223322Z del async_compile
2022-11-23T02:04:38.7223341Z 
2022-11-23T02:04:38.7223456Z def call(args):
2022-11-23T02:04:38.7223604Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7223721Z     args.clear()
2022-11-23T02:04:38.7224096Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4)
2022-11-23T02:04:38.7224268Z     assert_size_stride(buf0, (1, 128, 110), (14080, 110, 1))
2022-11-23T02:04:38.7224377Z     del arg0_1
2022-11-23T02:04:38.7224488Z     del arg1_1
2022-11-23T02:04:38.7224593Z     del arg7_1
2022-11-23T02:04:38.7224680Z     return (buf0, )
2022-11-23T02:04:38.7224723Z 
2022-11-23T02:04:38.7224741Z 
2022-11-23T02:04:38.7224834Z if __name__ == "__main__":
2022-11-23T02:04:38.7225001Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7225177Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7225470Z     arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7225743Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7226010Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7226343Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7226615Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7226852Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7227099Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7227392Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7227617Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7227637Z 
2022-11-23T02:04:38.7227655Z 
2022-11-23T02:04:38.7227797Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7227916Z import torch
2022-11-23T02:04:38.7228026Z import random
2022-11-23T02:04:38.7228196Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7228348Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7228367Z 
2022-11-23T02:04:38.7228491Z aten = torch.ops.aten
2022-11-23T02:04:38.7228684Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7228823Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7228844Z 
2022-11-23T02:04:38.7228862Z 
2022-11-23T02:04:38.7228996Z async_compile.wait(globals())
2022-11-23T02:04:38.7229109Z del async_compile
2022-11-23T02:04:38.7229128Z 
2022-11-23T02:04:38.7229245Z def call(args):
2022-11-23T02:04:38.7229414Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7229502Z     args.clear()
2022-11-23T02:04:38.7229690Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1)
2022-11-23T02:04:38.7229846Z     assert_size_stride(buf0, (1, 32, 108), (3456, 108, 1))
2022-11-23T02:04:38.7230015Z     del arg0_1
2022-11-23T02:04:38.7230125Z     del arg1_1
2022-11-23T02:04:38.7230230Z     del arg7_1
2022-11-23T02:04:38.7230342Z     return (buf0, )
2022-11-23T02:04:38.7230362Z 
2022-11-23T02:04:38.7230380Z 
2022-11-23T02:04:38.7230477Z if __name__ == "__main__":
2022-11-23T02:04:38.7230645Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7230824Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7231109Z     arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7231375Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7231639Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7231903Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7232163Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7232402Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7232652Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7232989Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7233216Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7233236Z 
2022-11-23T02:04:38.7233735Z [2022-11-23 01:52:27,286] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/al/calrwpzvq6bxx6miwie35wa7n3h3aoan2uifrzrgaog7dufzizw2.py
2022-11-23T02:04:38.7234100Z [2022-11-23 01:52:27,286] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 79
2022-11-23T02:04:38.7234428Z [2022-11-23 01:52:27,294] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7234859Z [2022-11-23 01:52:27,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7235161Z [2022-11-23 01:52:27,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7235478Z [2022-11-23 01:52:27,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7235850Z [2022-11-23 01:52:27,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7236276Z [2022-11-23 01:52:27,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7236727Z [2022-11-23 01:52:27,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7237157Z [2022-11-23 01:52:27,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7237503Z [2022-11-23 01:52:27,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7237823Z [2022-11-23 01:52:27,321] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7238175Z [2022-11-23 01:52:27,322] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7238522Z [2022-11-23 01:52:27,351] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7238789Z [2022-11-23 01:52:27,352] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7238960Z  __compiled_fn_81 <eval_with_key>.625 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7239102Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7239252Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7239403Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7239487Z 
2022-11-23T02:04:38.7239935Z [2022-11-23 01:52:27,352] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7240083Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7240220Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7240356Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7240473Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7240608Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7240746Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7240862Z              12 RETURN_VALUE
2022-11-23T02:04:38.7240881Z 
2022-11-23T02:04:38.7240977Z  
2022-11-23T02:04:38.7241415Z [2022-11-23 01:52:27,352] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7241572Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_81)
2022-11-23T02:04:38.7241718Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7241833Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7241952Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7242086Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7242285Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7242410Z              12 RETURN_VALUE
2022-11-23T02:04:38.7242428Z 
2022-11-23T02:04:38.7242525Z  
2022-11-23T02:04:38.7242789Z [2022-11-23 01:52:27,354] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7242877Z  - 
2022-11-23T02:04:38.7243048Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7243151Z             {
2022-11-23T02:04:38.7243357Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7243617Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7243793Z                 'obj_weakref': None
2022-11-23T02:04:38.7244111Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7244197Z             }
2022-11-23T02:04:38.7244302Z             
2022-11-23T02:04:38.7244421Z  - 
2022-11-23T02:04:38.7244607Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7244708Z             {
2022-11-23T02:04:38.7244916Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7245076Z                 'code': None,
2022-11-23T02:04:38.7245348Z                 'obj_weakref': <weakref at 0x7fa532312cf0; to 'Tensor' at 0x7fa61aa0b9c0>
2022-11-23T02:04:38.7245698Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7245806Z             }
2022-11-23T02:04:38.7245906Z             
2022-11-23T02:04:38.7246017Z  - 
2022-11-23T02:04:38.7246192Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7246294Z             {
2022-11-23T02:04:38.7246465Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7246713Z                 'code': ['___check_obj_id(model, 140351536757152)'],
2022-11-23T02:04:38.7247015Z                 'obj_weakref': <weakref at 0x7fa5321be8e0; to 'Sequential' at 0x7fa6237df9a0>
2022-11-23T02:04:38.7247343Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7247446Z             }
2022-11-23T02:04:38.7247548Z             
2022-11-23T02:04:38.7247659Z  - 
2022-11-23T02:04:38.7247813Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7247922Z             {
2022-11-23T02:04:38.7248116Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7248417Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7248597Z                 'obj_weakref': None
2022-11-23T02:04:38.7248904Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7249008Z             }
2022-11-23T02:04:38.7249160Z             
2022-11-23T02:04:38.7249272Z  - 
2022-11-23T02:04:38.7249482Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7249584Z             {
2022-11-23T02:04:38.7249759Z                 'guard_types': None,
2022-11-23T02:04:38.7249925Z                 'code': None,
2022-11-23T02:04:38.7250097Z                 'obj_weakref': None
2022-11-23T02:04:38.7250252Z                 'guarded_class': None
2022-11-23T02:04:38.7250351Z             }
2022-11-23T02:04:38.7250447Z             
2022-11-23T02:04:38.7250558Z  - 
2022-11-23T02:04:38.7250768Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7250868Z             {
2022-11-23T02:04:38.7251018Z                 'guard_types': None,
2022-11-23T02:04:38.7251182Z                 'code': None,
2022-11-23T02:04:38.7251355Z                 'obj_weakref': None
2022-11-23T02:04:38.7251534Z                 'guarded_class': None
2022-11-23T02:04:38.7251639Z             }
2022-11-23T02:04:38.7251736Z             
2022-11-23T02:04:38.7252099Z [2022-11-23 01:52:27,371] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 80
2022-11-23T02:04:38.7252658Z [2022-11-23 01:52:27,381] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jq/cjqyf3e42uy33krhq5tma6obphrb2bnewratrzle2id7k6lqwpxu.py
2022-11-23T02:04:38.7253006Z [2022-11-23 01:52:27,382] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 80
2022-11-23T02:04:38.7253336Z [2022-11-23 01:52:27,391] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7253767Z [2022-11-23 01:52:27,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7254073Z [2022-11-23 01:52:27,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7254410Z [2022-11-23 01:52:27,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7254782Z [2022-11-23 01:52:27,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7255209Z [2022-11-23 01:52:27,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7255670Z [2022-11-23 01:52:27,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7256646Z [2022-11-23 01:52:27,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7257282Z [2022-11-23 01:52:27,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7257835Z [2022-11-23 01:52:27,418] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7258269Z [2022-11-23 01:52:27,419] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7258622Z [2022-11-23 01:52:27,448] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7258892Z [2022-11-23 01:52:27,448] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7259086Z  __compiled_fn_82 <eval_with_key>.636 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7259222Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7259370Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7259518Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7259539Z 
2022-11-23T02:04:38.7259956Z [2022-11-23 01:52:27,449] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7260099Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7260237Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7260578Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7260719Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7260850Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7260984Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7261106Z              12 RETURN_VALUE
2022-11-23T02:04:38.7261127Z 
2022-11-23T02:04:38.7261200Z  
2022-11-23T02:04:38.7261639Z [2022-11-23 01:52:27,449] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7261866Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_82)
2022-11-23T02:04:38.7262002Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7262136Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7262255Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7262395Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7262508Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7262631Z              12 RETURN_VALUE
2022-11-23T02:04:38.7262650Z 
2022-11-23T02:04:38.7262744Z  
2022-11-23T02:04:38.7263002Z [2022-11-23 01:52:27,450] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7263117Z  - 
2022-11-23T02:04:38.7263363Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7263476Z             {
2022-11-23T02:04:38.7263657Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7263921Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7264091Z                 'obj_weakref': None
2022-11-23T02:04:38.7264400Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7264505Z             }
2022-11-23T02:04:38.7264606Z             
2022-11-23T02:04:38.7264716Z  - 
2022-11-23T02:04:38.7264877Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7264978Z             {
2022-11-23T02:04:38.7265178Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7265343Z                 'code': None,
2022-11-23T02:04:38.7265633Z                 'obj_weakref': <weakref at 0x7fa55a05f5b0; to 'Tensor' at 0x7fa53210b380>
2022-11-23T02:04:38.7265984Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7266087Z             }
2022-11-23T02:04:38.7266191Z             
2022-11-23T02:04:38.7266281Z  - 
2022-11-23T02:04:38.7266455Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7266555Z             {
2022-11-23T02:04:38.7266749Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7266986Z                 'code': ['___check_obj_id(model, 140351536757152)'],
2022-11-23T02:04:38.7267287Z                 'obj_weakref': <weakref at 0x7fa5321be8e0; to 'Sequential' at 0x7fa6237df9a0>
2022-11-23T02:04:38.7267612Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7267696Z             }
2022-11-23T02:04:38.7267801Z             
2022-11-23T02:04:38.7267911Z  - 
2022-11-23T02:04:38.7268086Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7268187Z             {
2022-11-23T02:04:38.7268389Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7268693Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7268845Z                 'obj_weakref': None
2022-11-23T02:04:38.7269158Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7269261Z             }
2022-11-23T02:04:38.7269362Z             
2022-11-23T02:04:38.7269475Z  - 
2022-11-23T02:04:38.7269681Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7269759Z             {
2022-11-23T02:04:38.7269933Z                 'guard_types': None,
2022-11-23T02:04:38.7270093Z                 'code': None,
2022-11-23T02:04:38.7270261Z                 'obj_weakref': None
2022-11-23T02:04:38.7270508Z                 'guarded_class': None
2022-11-23T02:04:38.7270608Z             }
2022-11-23T02:04:38.7270711Z             
2022-11-23T02:04:38.7270796Z  - 
2022-11-23T02:04:38.7270997Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7271101Z             {
2022-11-23T02:04:38.7271277Z                 'guard_types': None,
2022-11-23T02:04:38.7271440Z                 'code': None,
2022-11-23T02:04:38.7271612Z                 'obj_weakref': None
2022-11-23T02:04:38.7271787Z                 'guarded_class': None
2022-11-23T02:04:38.7271865Z             }
2022-11-23T02:04:38.7271962Z             
2022-11-23T02:04:38.7272318Z [2022-11-23 01:52:27,467] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 81
2022-11-23T02:04:38.7272819Z [2022-11-23 01:52:27,476] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5p/c5prxerzath5veg7zvjocivp2rmk5qlzyrvbpy3lfr2hcvfquhzd.py
2022-11-23T02:04:38.7273187Z [2022-11-23 01:52:27,477] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 81
2022-11-23T02:04:38.7273514Z [2022-11-23 01:52:27,488] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7273991Z [2022-11-23 01:52:27,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7274300Z [2022-11-23 01:52:27,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7274717Z [2022-11-23 01:52:27,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7275058Z [2022-11-23 01:52:27,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7275479Z [2022-11-23 01:52:27,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7275939Z [2022-11-23 01:52:27,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7276363Z [2022-11-23 01:52:27,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7276704Z [2022-11-23 01:52:27,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7277023Z [2022-11-23 01:52:27,516] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7277373Z [2022-11-23 01:52:27,518] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7277718Z [2022-11-23 01:52:27,547] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7277987Z [2022-11-23 01:52:27,548] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7278162Z  __compiled_fn_83 <eval_with_key>.647 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7278304Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7278446Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7278592Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7278618Z 
2022-11-23T02:04:38.7279059Z [2022-11-23 01:52:27,548] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7279200Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7279338Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7279473Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7279590Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7279717Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7279851Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7279973Z              12 RETURN_VALUE
2022-11-23T02:04:38.7280049Z 
2022-11-23T02:04:38.7280149Z  
2022-11-23T02:04:38.7280588Z [2022-11-23 01:52:27,548] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7280752Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_83)
2022-11-23T02:04:38.7280890Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7281002Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7281121Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7281257Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7281393Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7281509Z              12 RETURN_VALUE
2022-11-23T02:04:38.7281528Z 
2022-11-23T02:04:38.7281627Z  
2022-11-23T02:04:38.7281890Z [2022-11-23 01:52:27,550] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7281979Z  - 
2022-11-23T02:04:38.7282154Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7282266Z             {
2022-11-23T02:04:38.7282467Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7282728Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7282902Z                 'obj_weakref': None
2022-11-23T02:04:38.7283267Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7283353Z             }
2022-11-23T02:04:38.7283453Z             
2022-11-23T02:04:38.7283568Z  - 
2022-11-23T02:04:38.7283756Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7283860Z             {
2022-11-23T02:04:38.7284063Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7284223Z                 'code': None,
2022-11-23T02:04:38.7284492Z                 'obj_weakref': <weakref at 0x7fa61ab59210; to 'Tensor' at 0x7fa53214c040>
2022-11-23T02:04:38.7284846Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7284955Z             }
2022-11-23T02:04:38.7285055Z             
2022-11-23T02:04:38.7285260Z  - 
2022-11-23T02:04:38.7285439Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7285545Z             {
2022-11-23T02:04:38.7285720Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7285962Z                 'code': ['___check_obj_id(model, 140351537008736)'],
2022-11-23T02:04:38.7286260Z                 'obj_weakref': <weakref at 0x7fa532108180; to 'Sequential' at 0x7fa62381d060>
2022-11-23T02:04:38.7286587Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7286688Z             }
2022-11-23T02:04:38.7286793Z             
2022-11-23T02:04:38.7286903Z  - 
2022-11-23T02:04:38.7287056Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7287159Z             {
2022-11-23T02:04:38.7287353Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7287655Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7287897Z                 'obj_weakref': None
2022-11-23T02:04:38.7288206Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7288314Z             }
2022-11-23T02:04:38.7288396Z             
2022-11-23T02:04:38.7288505Z  - 
2022-11-23T02:04:38.7288709Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7288810Z             {
2022-11-23T02:04:38.7288980Z                 'guard_types': None,
2022-11-23T02:04:38.7289140Z                 'code': None,
2022-11-23T02:04:38.7289311Z                 'obj_weakref': None
2022-11-23T02:04:38.7289465Z                 'guarded_class': None
2022-11-23T02:04:38.7289570Z             }
2022-11-23T02:04:38.7289669Z             
2022-11-23T02:04:38.7289778Z  - 
2022-11-23T02:04:38.7289989Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7290091Z             {
2022-11-23T02:04:38.7290355Z                 'guard_types': None,
2022-11-23T02:04:38.7290489Z                 'code': None,
2022-11-23T02:04:38.7290663Z                 'obj_weakref': None
2022-11-23T02:04:38.7290839Z                 'guarded_class': None
2022-11-23T02:04:38.7290940Z             }
2022-11-23T02:04:38.7291045Z             
2022-11-23T02:04:38.7291396Z [2022-11-23 01:52:27,567] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 82
2022-11-23T02:04:38.7291894Z [2022-11-23 01:52:27,576] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/or/corlpjgxuxz6dsfs7yuccyybs2nj6kku2ewgi6byzmvph5fzxc2k.py
2022-11-23T02:04:38.7292233Z [2022-11-23 01:52:27,577] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 82
2022-11-23T02:04:38.7292564Z [2022-11-23 01:52:27,606] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7292990Z [2022-11-23 01:52:27,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7293300Z [2022-11-23 01:52:27,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7293740Z [2022-11-23 01:52:27,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7294115Z [2022-11-23 01:52:27,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7294539Z [2022-11-23 01:52:27,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7295001Z [2022-11-23 01:52:27,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7295427Z [2022-11-23 01:52:27,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7295772Z [2022-11-23 01:52:27,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7296605Z [2022-11-23 01:52:27,633] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7297267Z [2022-11-23 01:52:27,634] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7297865Z [2022-11-23 01:52:27,663] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7298279Z [2022-11-23 01:52:27,663] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7298478Z  __compiled_fn_84 <eval_with_key>.658 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7298613Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7298760Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7298907Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7298934Z 
2022-11-23T02:04:38.7299364Z [2022-11-23 01:52:27,664] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7299509Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7299645Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7299778Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7299922Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7300051Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7300183Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7300301Z              12 RETURN_VALUE
2022-11-23T02:04:38.7300321Z 
2022-11-23T02:04:38.7300395Z  
2022-11-23T02:04:38.7300832Z [2022-11-23 01:52:27,664] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7300990Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_84)
2022-11-23T02:04:38.7301309Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7301444Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7301565Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7301705Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7301823Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7301942Z              12 RETURN_VALUE
2022-11-23T02:04:38.7301962Z 
2022-11-23T02:04:38.7302059Z  
2022-11-23T02:04:38.7302322Z [2022-11-23 01:52:27,665] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7302435Z  - 
2022-11-23T02:04:38.7302607Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7302716Z             {
2022-11-23T02:04:38.7302893Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7303158Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7303333Z                 'obj_weakref': None
2022-11-23T02:04:38.7303643Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7303752Z             }
2022-11-23T02:04:38.7303853Z             
2022-11-23T02:04:38.7303966Z  - 
2022-11-23T02:04:38.7304146Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7304228Z             {
2022-11-23T02:04:38.7304511Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7304679Z                 'code': None,
2022-11-23T02:04:38.7304973Z                 'obj_weakref': <weakref at 0x7fa532311170; to 'Tensor' at 0x7fa55a0af920>
2022-11-23T02:04:38.7305321Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7305423Z             }
2022-11-23T02:04:38.7305524Z             
2022-11-23T02:04:38.7305612Z  - 
2022-11-23T02:04:38.7305790Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7305890Z             {
2022-11-23T02:04:38.7306087Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7306330Z                 'code': ['___check_obj_id(model, 140351537008736)'],
2022-11-23T02:04:38.7306628Z                 'obj_weakref': <weakref at 0x7fa532108180; to 'Sequential' at 0x7fa62381d060>
2022-11-23T02:04:38.7306956Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7307036Z             }
2022-11-23T02:04:38.7307137Z             
2022-11-23T02:04:38.7307251Z  - 
2022-11-23T02:04:38.7307428Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7307530Z             {
2022-11-23T02:04:38.7307727Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7308028Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7308178Z                 'obj_weakref': None
2022-11-23T02:04:38.7308480Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7308581Z             }
2022-11-23T02:04:38.7308681Z             
2022-11-23T02:04:38.7308795Z  - 
2022-11-23T02:04:38.7308998Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7309099Z             {
2022-11-23T02:04:38.7309250Z                 'guard_types': None,
2022-11-23T02:04:38.7309404Z                 'code': None,
2022-11-23T02:04:38.7309577Z                 'obj_weakref': None
2022-11-23T02:04:38.7309757Z                 'guarded_class': None
2022-11-23T02:04:38.7309857Z             }
2022-11-23T02:04:38.7309957Z             
2022-11-23T02:04:38.7310043Z  - 
2022-11-23T02:04:38.7310244Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7310344Z             {
2022-11-23T02:04:38.7310525Z                 'guard_types': None,
2022-11-23T02:04:38.7310686Z                 'code': None,
2022-11-23T02:04:38.7310857Z                 'obj_weakref': None
2022-11-23T02:04:38.7311033Z                 'guarded_class': None
2022-11-23T02:04:38.7311111Z             }
2022-11-23T02:04:38.7311213Z             
2022-11-23T02:04:38.7311670Z [2022-11-23 01:52:27,683] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 83
2022-11-23T02:04:38.7312164Z [2022-11-23 01:52:27,692] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ij/cijnfux3uansbazibtw345rwikdm4tlxknsq7f4h3gzzzyxnzqeu.py
2022-11-23T02:04:38.7312529Z [2022-11-23 01:52:27,693] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 83
2022-11-23T02:04:38.7312857Z [2022-11-23 01:52:27,715] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7313290Z [2022-11-23 01:52:27,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7313593Z [2022-11-23 01:52:27,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7313926Z [2022-11-23 01:52:27,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7314272Z [2022-11-23 01:52:27,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7314748Z [2022-11-23 01:52:27,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7315209Z [2022-11-23 01:52:27,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7315625Z [2022-11-23 01:52:27,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7315965Z [2022-11-23 01:52:27,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7316288Z [2022-11-23 01:52:27,742] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7316643Z [2022-11-23 01:52:27,743] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7316991Z [2022-11-23 01:52:27,772] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7317261Z [2022-11-23 01:52:27,772] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7317432Z  __compiled_fn_85 <eval_with_key>.669 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7317565Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7317715Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7317867Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7317890Z 
2022-11-23T02:04:38.7318329Z [2022-11-23 01:52:27,773] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7318476Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7318618Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7318758Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7318874Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7319005Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7319138Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7319259Z              12 RETURN_VALUE
2022-11-23T02:04:38.7319279Z 
2022-11-23T02:04:38.7319377Z  
2022-11-23T02:04:38.7319822Z [2022-11-23 01:52:27,773] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7319982Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_85)
2022-11-23T02:04:38.7320120Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7320232Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7320352Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7320486Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7320623Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7320829Z              12 RETURN_VALUE
2022-11-23T02:04:38.7320849Z 
2022-11-23T02:04:38.7320944Z  
2022-11-23T02:04:38.7321210Z [2022-11-23 01:52:27,774] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7321298Z  - 
2022-11-23T02:04:38.7321476Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7321576Z             {
2022-11-23T02:04:38.7321778Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7322043Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7322224Z                 'obj_weakref': None
2022-11-23T02:04:38.7322536Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7322616Z             }
2022-11-23T02:04:38.7322725Z             
2022-11-23T02:04:38.7322834Z  - 
2022-11-23T02:04:38.7323021Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7323121Z             {
2022-11-23T02:04:38.7323326Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7323489Z                 'code': None,
2022-11-23T02:04:38.7323761Z                 'obj_weakref': <weakref at 0x7fa532310590; to 'Tensor' at 0x7fa61aaa2f20>
2022-11-23T02:04:38.7324172Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7324280Z             }
2022-11-23T02:04:38.7324380Z             
2022-11-23T02:04:38.7324496Z  - 
2022-11-23T02:04:38.7324673Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7324779Z             {
2022-11-23T02:04:38.7324951Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7325190Z                 'code': ['___check_obj_id(model, 140351387223232)'],
2022-11-23T02:04:38.7325490Z                 'obj_weakref': <weakref at 0x7fa532162b60; to 'Sequential' at 0x7fa61a9444c0>
2022-11-23T02:04:38.7325812Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7325921Z             }
2022-11-23T02:04:38.7326028Z             
2022-11-23T02:04:38.7326139Z  - 
2022-11-23T02:04:38.7326295Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7326399Z             {
2022-11-23T02:04:38.7326598Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7326900Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7327080Z                 'obj_weakref': None
2022-11-23T02:04:38.7327396Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7327502Z             }
2022-11-23T02:04:38.7327579Z             
2022-11-23T02:04:38.7327693Z  - 
2022-11-23T02:04:38.7327900Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7328002Z             {
2022-11-23T02:04:38.7328177Z                 'guard_types': None,
2022-11-23T02:04:38.7328333Z                 'code': None,
2022-11-23T02:04:38.7328502Z                 'obj_weakref': None
2022-11-23T02:04:38.7328663Z                 'guarded_class': None
2022-11-23T02:04:38.7328766Z             }
2022-11-23T02:04:38.7328865Z             
2022-11-23T02:04:38.7328973Z  - 
2022-11-23T02:04:38.7329178Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7329285Z             {
2022-11-23T02:04:38.7329465Z                 'guard_types': None,
2022-11-23T02:04:38.7329599Z                 'code': None,
2022-11-23T02:04:38.7329773Z                 'obj_weakref': None
2022-11-23T02:04:38.7329950Z                 'guarded_class': None
2022-11-23T02:04:38.7330052Z             }
2022-11-23T02:04:38.7330153Z             
2022-11-23T02:04:38.7330505Z [2022-11-23 01:52:27,791] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 84
2022-11-23T02:04:38.7330527Z 
2022-11-23T02:04:38.7330665Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7330750Z import torch
2022-11-23T02:04:38.7330857Z import random
2022-11-23T02:04:38.7331025Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7331291Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7331311Z 
2022-11-23T02:04:38.7331436Z aten = torch.ops.aten
2022-11-23T02:04:38.7331630Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7331775Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7331795Z 
2022-11-23T02:04:38.7331815Z 
2022-11-23T02:04:38.7331952Z async_compile.wait(globals())
2022-11-23T02:04:38.7332042Z del async_compile
2022-11-23T02:04:38.7332060Z 
2022-11-23T02:04:38.7332177Z def call(args):
2022-11-23T02:04:38.7332353Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7332466Z     args.clear()
2022-11-23T02:04:38.7332658Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4)
2022-11-23T02:04:38.7332821Z     assert_size_stride(buf0, (1, 128, 108), (13824, 108, 1))
2022-11-23T02:04:38.7332928Z     del arg0_1
2022-11-23T02:04:38.7333012Z     del arg1_1
2022-11-23T02:04:38.7333122Z     del arg7_1
2022-11-23T02:04:38.7333237Z     return (buf0, )
2022-11-23T02:04:38.7333257Z 
2022-11-23T02:04:38.7333275Z 
2022-11-23T02:04:38.7333391Z if __name__ == "__main__":
2022-11-23T02:04:38.7333559Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7333814Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7334125Z     arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7334397Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7334644Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7334908Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7335178Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7335439Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7335698Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7335990Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7336880Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7336917Z 
2022-11-23T02:04:38.7336941Z 
2022-11-23T02:04:38.7337189Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7337344Z import torch
2022-11-23T02:04:38.7337525Z import random
2022-11-23T02:04:38.7337815Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7338115Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7338141Z 
2022-11-23T02:04:38.7338281Z aten = torch.ops.aten
2022-11-23T02:04:38.7338473Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7338611Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7338631Z 
2022-11-23T02:04:38.7338649Z 
2022-11-23T02:04:38.7338790Z async_compile.wait(globals())
2022-11-23T02:04:38.7338880Z del async_compile
2022-11-23T02:04:38.7338899Z 
2022-11-23T02:04:38.7339009Z def call(args):
2022-11-23T02:04:38.7339184Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7339301Z     args.clear()
2022-11-23T02:04:38.7339496Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T02:04:38.7339660Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1))
2022-11-23T02:04:38.7339774Z     del arg0_1
2022-11-23T02:04:38.7339879Z     del arg1_1
2022-11-23T02:04:38.7339961Z     del arg7_1
2022-11-23T02:04:38.7340074Z     return (buf0, )
2022-11-23T02:04:38.7340093Z 
2022-11-23T02:04:38.7340111Z 
2022-11-23T02:04:38.7340229Z if __name__ == "__main__":
2022-11-23T02:04:38.7340398Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7340577Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7341072Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7341344Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7341587Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7341852Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7342111Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7342370Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7342619Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7342975Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7343202Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7343221Z 
2022-11-23T02:04:38.7343243Z 
2022-11-23T02:04:38.7343387Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7343499Z import torch
2022-11-23T02:04:38.7343586Z import random
2022-11-23T02:04:38.7343753Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7344006Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7344028Z 
2022-11-23T02:04:38.7344157Z aten = torch.ops.aten
2022-11-23T02:04:38.7344356Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7344495Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7344514Z 
2022-11-23T02:04:38.7344532Z 
2022-11-23T02:04:38.7344669Z async_compile.wait(globals())
2022-11-23T02:04:38.7344784Z del async_compile
2022-11-23T02:04:38.7344803Z 
2022-11-23T02:04:38.7344891Z def call(args):
2022-11-23T02:04:38.7345066Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7345178Z     args.clear()
2022-11-23T02:04:38.7345372Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T02:04:38.7345541Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32))
2022-11-23T02:04:38.7345649Z     del arg0_1
2022-11-23T02:04:38.7345760Z     del arg1_1
2022-11-23T02:04:38.7345843Z     del arg7_1
2022-11-23T02:04:38.7345959Z     return (buf0, )
2022-11-23T02:04:38.7345979Z 
2022-11-23T02:04:38.7345997Z 
2022-11-23T02:04:38.7346114Z if __name__ == "__main__":
2022-11-23T02:04:38.7346279Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7346457Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7346755Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7347028Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7347297Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7347538Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7347803Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7348069Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7348322Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7348625Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7348852Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7348871Z 
2022-11-23T02:04:38.7348890Z 
2022-11-23T02:04:38.7349038Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7349150Z import torch
2022-11-23T02:04:38.7349238Z import random
2022-11-23T02:04:38.7349407Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7349581Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7349600Z 
2022-11-23T02:04:38.7349721Z aten = torch.ops.aten
2022-11-23T02:04:38.7349994Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7350131Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7350151Z 
2022-11-23T02:04:38.7350170Z 
2022-11-23T02:04:38.7350304Z async_compile.wait(globals())
2022-11-23T02:04:38.7350421Z del async_compile
2022-11-23T02:04:38.7350442Z 
2022-11-23T02:04:38.7350531Z def call(args):
2022-11-23T02:04:38.7350706Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7350818Z     args.clear()
2022-11-23T02:04:38.7351014Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T02:04:38.7351179Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1))
2022-11-23T02:04:38.7351288Z     del arg0_1
2022-11-23T02:04:38.7351396Z     del arg1_1
2022-11-23T02:04:38.7351479Z     del arg7_1
2022-11-23T02:04:38.7351591Z     return (buf0, )
2022-11-23T02:04:38.7351610Z 
2022-11-23T02:04:38.7351632Z 
2022-11-23T02:04:38.7351752Z if __name__ == "__main__":
2022-11-23T02:04:38.7351916Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7352099Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7352449Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7352728Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7353001Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7353239Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7353502Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7353762Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7354013Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7354320Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7354545Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7354565Z 
2022-11-23T02:04:38.7354584Z 
2022-11-23T02:04:38.7354730Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7354841Z import torch
2022-11-23T02:04:38.7354953Z import random
2022-11-23T02:04:38.7355097Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7355272Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7355291Z 
2022-11-23T02:04:38.7355412Z aten = torch.ops.aten
2022-11-23T02:04:38.7355607Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7355744Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7355763Z 
2022-11-23T02:04:38.7355781Z 
2022-11-23T02:04:38.7355919Z async_compile.wait(globals())
2022-11-23T02:04:38.7356031Z del async_compile
2022-11-23T02:04:38.7356050Z 
2022-11-23T02:04:38.7356166Z def call(args):
2022-11-23T02:04:38.7356317Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7356427Z     args.clear()
2022-11-23T02:04:38.7356622Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T02:04:38.7356794Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2022-11-23T02:04:38.7356901Z     del arg0_1
2022-11-23T02:04:38.7357007Z     del arg1_1
2022-11-23T02:04:38.7357115Z     del arg7_1
2022-11-23T02:04:38.7357208Z     return (buf0, )
2022-11-23T02:04:38.7357228Z 
2022-11-23T02:04:38.7357246Z 
2022-11-23T02:04:38.7357362Z if __name__ == "__main__":
2022-11-23T02:04:38.7357528Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7357708Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7358006Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7358277Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7358610Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7358871Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7359110Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7359372Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7359627Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7359939Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7360159Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7360178Z 
2022-11-23T02:04:38.7360684Z [2022-11-23 01:52:27,800] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m7/cm72mgnroaydldfhwsnwrfwyqmzgsgmpxazzx54i4symsnfd7j2s.py
2022-11-23T02:04:38.7361053Z [2022-11-23 01:52:27,801] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 84
2022-11-23T02:04:38.7361480Z [2022-11-23 01:52:27,809] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7361921Z [2022-11-23 01:52:27,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7362199Z [2022-11-23 01:52:27,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7362534Z [2022-11-23 01:52:27,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7362907Z [2022-11-23 01:52:27,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7363333Z [2022-11-23 01:52:27,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7363796Z [2022-11-23 01:52:27,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7364225Z [2022-11-23 01:52:27,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7364571Z [2022-11-23 01:52:27,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7364896Z [2022-11-23 01:52:27,836] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7365254Z [2022-11-23 01:52:27,838] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7365595Z [2022-11-23 01:52:27,866] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7365838Z [2022-11-23 01:52:27,867] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7366042Z  __compiled_fn_86 <eval_with_key>.680 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7366178Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7366331Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7366481Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7366501Z 
2022-11-23T02:04:38.7366942Z [2022-11-23 01:52:27,867] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7367082Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7367287Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7367459Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7367600Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7367731Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7367869Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7368054Z              12 RETURN_VALUE
2022-11-23T02:04:38.7368074Z 
2022-11-23T02:04:38.7368174Z  
2022-11-23T02:04:38.7368622Z [2022-11-23 01:52:27,867] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7368783Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_86)
2022-11-23T02:04:38.7368898Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7369035Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7369153Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7369287Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7369423Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7369542Z              12 RETURN_VALUE
2022-11-23T02:04:38.7369560Z 
2022-11-23T02:04:38.7369657Z  
2022-11-23T02:04:38.7369896Z [2022-11-23 01:52:27,869] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7370008Z  - 
2022-11-23T02:04:38.7370185Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7370293Z             {
2022-11-23T02:04:38.7370500Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7370762Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7370998Z                 'obj_weakref': None
2022-11-23T02:04:38.7371298Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7371415Z             }
2022-11-23T02:04:38.7371518Z             
2022-11-23T02:04:38.7371631Z  - 
2022-11-23T02:04:38.7371820Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7371922Z             {
2022-11-23T02:04:38.7372132Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7372269Z                 'code': None,
2022-11-23T02:04:38.7372565Z                 'obj_weakref': <weakref at 0x7fa5321bfa60; to 'Tensor' at 0x7fa55a05ede0>
2022-11-23T02:04:38.7372913Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7373027Z             }
2022-11-23T02:04:38.7373139Z             
2022-11-23T02:04:38.7373247Z  - 
2022-11-23T02:04:38.7373427Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7373512Z             {
2022-11-23T02:04:38.7373708Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7373948Z                 'code': ['___check_obj_id(model, 140351387223232)'],
2022-11-23T02:04:38.7374257Z                 'obj_weakref': <weakref at 0x7fa532162b60; to 'Sequential' at 0x7fa61a9444c0>
2022-11-23T02:04:38.7374588Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7374690Z             }
2022-11-23T02:04:38.7374791Z             
2022-11-23T02:04:38.7374881Z  - 
2022-11-23T02:04:38.7375053Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7375154Z             {
2022-11-23T02:04:38.7375351Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7375657Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7375832Z                 'obj_weakref': None
2022-11-23T02:04:38.7377089Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7377246Z             }
2022-11-23T02:04:38.7377405Z             
2022-11-23T02:04:38.7377614Z  - 
2022-11-23T02:04:38.7377968Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7378118Z             {
2022-11-23T02:04:38.7378320Z                 'guard_types': None,
2022-11-23T02:04:38.7378477Z                 'code': None,
2022-11-23T02:04:38.7378623Z                 'obj_weakref': None
2022-11-23T02:04:38.7378802Z                 'guarded_class': None
2022-11-23T02:04:38.7378903Z             }
2022-11-23T02:04:38.7379001Z             
2022-11-23T02:04:38.7379111Z  - 
2022-11-23T02:04:38.7379321Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7379701Z             {
2022-11-23T02:04:38.7379854Z                 'guard_types': None,
2022-11-23T02:04:38.7380008Z                 'code': None,
2022-11-23T02:04:38.7380179Z                 'obj_weakref': None
2022-11-23T02:04:38.7380360Z                 'guarded_class': None
2022-11-23T02:04:38.7380460Z             }
2022-11-23T02:04:38.7380563Z             
2022-11-23T02:04:38.7380897Z [2022-11-23 01:52:27,887] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 85
2022-11-23T02:04:38.7381389Z [2022-11-23 01:52:27,896] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d5/cd5hne224xqpmbz2iwctwmn3ftlihzfntp675knd3uggo3gsrfrp.py
2022-11-23T02:04:38.7381751Z [2022-11-23 01:52:27,896] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 85
2022-11-23T02:04:38.7382084Z [2022-11-23 01:52:27,907] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7382515Z [2022-11-23 01:52:27,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7382818Z [2022-11-23 01:52:27,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7383249Z [2022-11-23 01:52:27,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7383629Z [2022-11-23 01:52:27,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7384049Z [2022-11-23 01:52:27,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7384499Z [2022-11-23 01:52:27,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7384903Z [2022-11-23 01:52:27,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7385290Z [2022-11-23 01:52:27,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7385622Z [2022-11-23 01:52:27,933] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7385973Z [2022-11-23 01:52:27,935] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7386318Z [2022-11-23 01:52:27,964] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7386586Z [2022-11-23 01:52:27,965] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7386783Z  __compiled_fn_87 <eval_with_key>.691 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7386920Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7387065Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7387246Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7387247Z 
2022-11-23T02:04:38.7387660Z [2022-11-23 01:52:27,965] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7387806Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7387943Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7388078Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7388218Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7388348Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7388485Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7388580Z              12 RETURN_VALUE
2022-11-23T02:04:38.7388600Z 
2022-11-23T02:04:38.7388698Z  
2022-11-23T02:04:38.7389132Z [2022-11-23 01:52:27,966] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7389363Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_87)
2022-11-23T02:04:38.7389500Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7389636Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7389755Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7389869Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7390008Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7390123Z              12 RETURN_VALUE
2022-11-23T02:04:38.7390143Z 
2022-11-23T02:04:38.7390239Z  
2022-11-23T02:04:38.7390499Z [2022-11-23 01:52:27,967] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7390610Z  - 
2022-11-23T02:04:38.7390784Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7390863Z             {
2022-11-23T02:04:38.7391067Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7391328Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7391505Z                 'obj_weakref': None
2022-11-23T02:04:38.7391824Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7391933Z             }
2022-11-23T02:04:38.7392033Z             
2022-11-23T02:04:38.7392148Z  - 
2022-11-23T02:04:38.7392376Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7392483Z             {
2022-11-23T02:04:38.7392693Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7392850Z                 'code': None,
2022-11-23T02:04:38.7393144Z                 'obj_weakref': <weakref at 0x7fa61a7b42c0; to 'Tensor' at 0x7fa61a8d9760>
2022-11-23T02:04:38.7393498Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7393600Z             }
2022-11-23T02:04:38.7393676Z             
2022-11-23T02:04:38.7393785Z  - 
2022-11-23T02:04:38.7393958Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7394062Z             {
2022-11-23T02:04:38.7394263Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7394504Z                 'code': ['___check_obj_id(model, 140348156369536)'],
2022-11-23T02:04:38.7394812Z                 'obj_weakref': <weakref at 0x7fa53214f470; to 'Sequential' at 0x7fa55a015a80>
2022-11-23T02:04:38.7395121Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7395227Z             }
2022-11-23T02:04:38.7395331Z             
2022-11-23T02:04:38.7395450Z  - 
2022-11-23T02:04:38.7395628Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7395728Z             {
2022-11-23T02:04:38.7395924Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7396203Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7396385Z                 'obj_weakref': None
2022-11-23T02:04:38.7396693Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7396799Z             }
2022-11-23T02:04:38.7396899Z             
2022-11-23T02:04:38.7397014Z  - 
2022-11-23T02:04:38.7397245Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7397306Z             {
2022-11-23T02:04:38.7397497Z                 'guard_types': None,
2022-11-23T02:04:38.7397639Z                 'code': None,
2022-11-23T02:04:38.7397812Z                 'obj_weakref': None
2022-11-23T02:04:38.7397988Z                 'guarded_class': None
2022-11-23T02:04:38.7398098Z             }
2022-11-23T02:04:38.7398201Z             
2022-11-23T02:04:38.7398285Z  - 
2022-11-23T02:04:38.7398494Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7398644Z             {
2022-11-23T02:04:38.7398768Z                 'guard_types': None,
2022-11-23T02:04:38.7398926Z                 'code': None,
2022-11-23T02:04:38.7399157Z                 'obj_weakref': None
2022-11-23T02:04:38.7399257Z                 'guarded_class': None
2022-11-23T02:04:38.7399359Z             }
2022-11-23T02:04:38.7399545Z             
2022-11-23T02:04:38.7399905Z [2022-11-23 01:52:27,986] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 86
2022-11-23T02:04:38.7400407Z [2022-11-23 01:52:27,995] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i2/ci2yxxcymttmoi3aus43srazullzlsf5zsjiog5ovwktdn2orvqr.py
2022-11-23T02:04:38.7400769Z [2022-11-23 01:52:27,995] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 86
2022-11-23T02:04:38.7401095Z [2022-11-23 01:52:28,016] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7401526Z [2022-11-23 01:52:28,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7401806Z [2022-11-23 01:52:28,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7402139Z [2022-11-23 01:52:28,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7402510Z [2022-11-23 01:52:28,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7402992Z [2022-11-23 01:52:28,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7403451Z [2022-11-23 01:52:28,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7403872Z [2022-11-23 01:52:28,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7404212Z [2022-11-23 01:52:28,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7404534Z [2022-11-23 01:52:28,043] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7404891Z [2022-11-23 01:52:28,045] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7405237Z [2022-11-23 01:52:28,073] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7405484Z [2022-11-23 01:52:28,073] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7405682Z  __compiled_fn_88 <eval_with_key>.702 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7405818Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7405965Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7406114Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7406134Z 
2022-11-23T02:04:38.7406576Z [2022-11-23 01:52:28,074] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7406722Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7406866Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7406976Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7407117Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7407245Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7407389Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7407511Z              12 RETURN_VALUE
2022-11-23T02:04:38.7407530Z 
2022-11-23T02:04:38.7407629Z  
2022-11-23T02:04:38.7408065Z [2022-11-23 01:52:28,074] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7408230Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_88)
2022-11-23T02:04:38.7408346Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7408482Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7408600Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7408736Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7408952Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7409067Z              12 RETURN_VALUE
2022-11-23T02:04:38.7409087Z 
2022-11-23T02:04:38.7409187Z  
2022-11-23T02:04:38.7409424Z [2022-11-23 01:52:28,075] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7409546Z  - 
2022-11-23T02:04:38.7409721Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7409828Z             {
2022-11-23T02:04:38.7410031Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7410292Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7410462Z                 'obj_weakref': None
2022-11-23T02:04:38.7410754Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7410857Z             }
2022-11-23T02:04:38.7410957Z             
2022-11-23T02:04:38.7411070Z  - 
2022-11-23T02:04:38.7411249Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7411355Z             {
2022-11-23T02:04:38.7411557Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7411692Z                 'code': None,
2022-11-23T02:04:38.7411988Z                 'obj_weakref': <weakref at 0x7fa53214eca0; to 'Tensor' at 0x7fa55a0afa10>
2022-11-23T02:04:38.7412401Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7412507Z             }
2022-11-23T02:04:38.7412612Z             
2022-11-23T02:04:38.7412727Z  - 
2022-11-23T02:04:38.7412906Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7412987Z             {
2022-11-23T02:04:38.7413182Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7413428Z                 'code': ['___check_obj_id(model, 140348156369536)'],
2022-11-23T02:04:38.7413734Z                 'obj_weakref': <weakref at 0x7fa53214f470; to 'Sequential' at 0x7fa55a015a80>
2022-11-23T02:04:38.7414063Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7414174Z             }
2022-11-23T02:04:38.7414277Z             
2022-11-23T02:04:38.7414364Z  - 
2022-11-23T02:04:38.7414547Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7414644Z             {
2022-11-23T02:04:38.7414844Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7415149Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7415318Z                 'obj_weakref': None
2022-11-23T02:04:38.7415626Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7415704Z             }
2022-11-23T02:04:38.7415807Z             
2022-11-23T02:04:38.7415912Z  - 
2022-11-23T02:04:38.7416678Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7416844Z             {
2022-11-23T02:04:38.7417183Z                 'guard_types': None,
2022-11-23T02:04:38.7417441Z                 'code': None,
2022-11-23T02:04:38.7417714Z                 'obj_weakref': None
2022-11-23T02:04:38.7417998Z                 'guarded_class': None
2022-11-23T02:04:38.7418152Z             }
2022-11-23T02:04:38.7418305Z             
2022-11-23T02:04:38.7418424Z  - 
2022-11-23T02:04:38.7418643Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7418746Z             {
2022-11-23T02:04:38.7418896Z                 'guard_types': None,
2022-11-23T02:04:38.7419056Z                 'code': None,
2022-11-23T02:04:38.7419225Z                 'obj_weakref': None
2022-11-23T02:04:38.7419401Z                 'guarded_class': None
2022-11-23T02:04:38.7419503Z             }
2022-11-23T02:04:38.7419603Z             
2022-11-23T02:04:38.7419964Z [2022-11-23 01:52:28,092] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 87
2022-11-23T02:04:38.7420433Z [2022-11-23 01:52:28,102] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/px/cpx3xs33qdv33dvpqv2ac2ttf5hpsz7rbvfdrbfaz744dtzrdsln.py
2022-11-23T02:04:38.7420977Z [2022-11-23 01:52:28,102] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 87
2022-11-23T02:04:38.7421307Z [2022-11-23 01:52:28,124] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7421736Z [2022-11-23 01:52:28,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7422037Z [2022-11-23 01:52:28,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7422379Z [2022-11-23 01:52:28,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7422754Z [2022-11-23 01:52:28,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7423175Z [2022-11-23 01:52:28,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7423632Z [2022-11-23 01:52:28,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7424128Z [2022-11-23 01:52:28,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7424451Z [2022-11-23 01:52:28,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7424837Z [2022-11-23 01:52:28,151] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7425184Z [2022-11-23 01:52:28,152] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7425534Z [2022-11-23 01:52:28,181] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7425795Z [2022-11-23 01:52:28,181] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7425994Z  __compiled_fn_89 <eval_with_key>.713 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7426133Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7426281Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7426409Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7426430Z 
2022-11-23T02:04:38.7426877Z [2022-11-23 01:52:28,182] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7427022Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7427165Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7427295Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7427440Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7427570Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7427700Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7427798Z              12 RETURN_VALUE
2022-11-23T02:04:38.7427818Z 
2022-11-23T02:04:38.7427916Z  
2022-11-23T02:04:38.7428353Z [2022-11-23 01:52:28,182] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7428513Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_89)
2022-11-23T02:04:38.7428651Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7428786Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7428908Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7429036Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7429151Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7429264Z              12 RETURN_VALUE
2022-11-23T02:04:38.7429283Z 
2022-11-23T02:04:38.7429378Z  
2022-11-23T02:04:38.7429642Z [2022-11-23 01:52:28,183] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7429754Z  - 
2022-11-23T02:04:38.7430010Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7430119Z             {
2022-11-23T02:04:38.7430298Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7430557Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7430735Z                 'obj_weakref': None
2022-11-23T02:04:38.7431050Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7431151Z             }
2022-11-23T02:04:38.7431255Z             
2022-11-23T02:04:38.7431364Z  - 
2022-11-23T02:04:38.7431524Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7431626Z             {
2022-11-23T02:04:38.7431826Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7431983Z                 'code': None,
2022-11-23T02:04:38.7432276Z                 'obj_weakref': <weakref at 0x7fa53227c2c0; to 'Tensor' at 0x7fa55a0af970>
2022-11-23T02:04:38.7432618Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7432725Z             }
2022-11-23T02:04:38.7432801Z             
2022-11-23T02:04:38.7432910Z  - 
2022-11-23T02:04:38.7433088Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7433189Z             {
2022-11-23T02:04:38.7433474Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7433723Z                 'code': ['___check_obj_id(model, 140347992230640)'],
2022-11-23T02:04:38.7434026Z                 'obj_weakref': <weakref at 0x7fa5321bd490; to 'Sequential' at 0x7fa55038caf0>
2022-11-23T02:04:38.7434328Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7434433Z             }
2022-11-23T02:04:38.7434538Z             
2022-11-23T02:04:38.7434643Z  - 
2022-11-23T02:04:38.7434825Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7434930Z             {
2022-11-23T02:04:38.7435130Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7435408Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7435579Z                 'obj_weakref': None
2022-11-23T02:04:38.7435893Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7435994Z             }
2022-11-23T02:04:38.7436100Z             
2022-11-23T02:04:38.7436210Z  - 
2022-11-23T02:04:38.7436421Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7436499Z             {
2022-11-23T02:04:38.7436675Z                 'guard_types': None,
2022-11-23T02:04:38.7436837Z                 'code': None,
2022-11-23T02:04:38.7437009Z                 'obj_weakref': None
2022-11-23T02:04:38.7437187Z                 'guarded_class': None
2022-11-23T02:04:38.7437290Z             }
2022-11-23T02:04:38.7437393Z             
2022-11-23T02:04:38.7437479Z  - 
2022-11-23T02:04:38.7437688Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7437800Z             {
2022-11-23T02:04:38.7437978Z                 'guard_types': None,
2022-11-23T02:04:38.7438141Z                 'code': None,
2022-11-23T02:04:38.7438314Z                 'obj_weakref': None
2022-11-23T02:04:38.7438465Z                 'guarded_class': None
2022-11-23T02:04:38.7438571Z             }
2022-11-23T02:04:38.7438675Z             
2022-11-23T02:04:38.7439032Z [2022-11-23 01:52:28,200] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 88
2022-11-23T02:04:38.7439529Z [2022-11-23 01:52:28,209] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k6/ck6a3llsuycpro74cwmvio5agzgr3qjpmqljw63plljk2db4kgpx.py
2022-11-23T02:04:38.7439899Z [2022-11-23 01:52:28,210] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 88
2022-11-23T02:04:38.7440267Z [2022-11-23 01:52:28,218] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7440687Z [2022-11-23 01:52:28,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7441088Z [2022-11-23 01:52:28,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7441351Z [2022-11-23 01:52:28,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7441726Z [2022-11-23 01:52:28,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7442153Z [2022-11-23 01:52:28,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7442610Z [2022-11-23 01:52:28,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7443028Z [2022-11-23 01:52:28,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7443373Z [2022-11-23 01:52:28,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7443750Z [2022-11-23 01:52:28,246] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7444105Z [2022-11-23 01:52:28,247] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7444449Z [2022-11-23 01:52:28,275] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7444692Z [2022-11-23 01:52:28,276] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7444891Z  __compiled_fn_90 <eval_with_key>.724 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7445031Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7445180Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7445326Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7445351Z 
2022-11-23T02:04:38.7445800Z [2022-11-23 01:52:28,276] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7445946Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7446090Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7446198Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7446340Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7446467Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7446600Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7446798Z              12 RETURN_VALUE
2022-11-23T02:04:38.7446818Z 
2022-11-23T02:04:38.7446918Z  
2022-11-23T02:04:38.7447351Z [2022-11-23 01:52:28,276] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7447507Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_90)
2022-11-23T02:04:38.7447626Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7447762Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7447880Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7448017Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7448155Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7448272Z              12 RETURN_VALUE
2022-11-23T02:04:38.7448291Z 
2022-11-23T02:04:38.7448388Z  
2022-11-23T02:04:38.7448629Z [2022-11-23 01:52:28,278] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7448743Z  - 
2022-11-23T02:04:38.7448917Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7449020Z             {
2022-11-23T02:04:38.7449228Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7449494Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7449676Z                 'obj_weakref': None
2022-11-23T02:04:38.7450042Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7450147Z             }
2022-11-23T02:04:38.7450250Z             
2022-11-23T02:04:38.7450361Z  - 
2022-11-23T02:04:38.7450544Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7450646Z             {
2022-11-23T02:04:38.7450847Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7450984Z                 'code': None,
2022-11-23T02:04:38.7451285Z                 'obj_weakref': <weakref at 0x7fa53227ffb0; to 'Tensor' at 0x7fa61a7b5cb0>
2022-11-23T02:04:38.7451636Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7451793Z             }
2022-11-23T02:04:38.7451884Z             
2022-11-23T02:04:38.7451997Z  - 
2022-11-23T02:04:38.7452130Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7452255Z             {
2022-11-23T02:04:38.7452408Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7452688Z                 'code': ['___check_obj_id(model, 140347992230640)'],
2022-11-23T02:04:38.7452965Z                 'obj_weakref': <weakref at 0x7fa5321bd490; to 'Sequential' at 0x7fa55038caf0>
2022-11-23T02:04:38.7453355Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7453467Z             }
2022-11-23T02:04:38.7453568Z             
2022-11-23T02:04:38.7453656Z  - 
2022-11-23T02:04:38.7453834Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7453937Z             {
2022-11-23T02:04:38.7454137Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7454438Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7454614Z                 'obj_weakref': None
2022-11-23T02:04:38.7454923Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7455029Z             }
2022-11-23T02:04:38.7455107Z             
2022-11-23T02:04:38.7455213Z  - 
2022-11-23T02:04:38.7455420Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7455522Z             {
2022-11-23T02:04:38.7455698Z                 'guard_types': None,
2022-11-23T02:04:38.7455858Z                 'code': None,
2022-11-23T02:04:38.7456009Z                 'obj_weakref': None
2022-11-23T02:04:38.7456769Z                 'guarded_class': None
2022-11-23T02:04:38.7456891Z             }
2022-11-23T02:04:38.7457050Z             
2022-11-23T02:04:38.7457233Z  - 
2022-11-23T02:04:38.7457578Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7457737Z             {
2022-11-23T02:04:38.7458008Z                 'guard_types': None,
2022-11-23T02:04:38.7458231Z                 'code': None,
2022-11-23T02:04:38.7458406Z                 'obj_weakref': None
2022-11-23T02:04:38.7458585Z                 'guarded_class': None
2022-11-23T02:04:38.7458686Z             }
2022-11-23T02:04:38.7458793Z             
2022-11-23T02:04:38.7459158Z [2022-11-23 01:52:28,295] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 89
2022-11-23T02:04:38.7459184Z 
2022-11-23T02:04:38.7459303Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7459415Z import torch
2022-11-23T02:04:38.7459525Z import random
2022-11-23T02:04:38.7459695Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7459875Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7459895Z 
2022-11-23T02:04:38.7460017Z aten = torch.ops.aten
2022-11-23T02:04:38.7460211Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7460329Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7460377Z 
2022-11-23T02:04:38.7460395Z 
2022-11-23T02:04:38.7460507Z async_compile.wait(globals())
2022-11-23T02:04:38.7460619Z del async_compile
2022-11-23T02:04:38.7460639Z 
2022-11-23T02:04:38.7460752Z def call(args):
2022-11-23T02:04:38.7460936Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7461232Z     args.clear()
2022-11-23T02:04:38.7461431Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T02:04:38.7461601Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1))
2022-11-23T02:04:38.7461687Z     del arg0_1
2022-11-23T02:04:38.7461794Z     del arg1_1
2022-11-23T02:04:38.7461898Z     del arg7_1
2022-11-23T02:04:38.7462012Z     return (buf0, )
2022-11-23T02:04:38.7462032Z 
2022-11-23T02:04:38.7462050Z 
2022-11-23T02:04:38.7462167Z if __name__ == "__main__":
2022-11-23T02:04:38.7462336Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7462517Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7462823Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7463070Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7463343Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7463606Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7463943Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7464211Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7464457Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7464758Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7464982Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7465003Z 
2022-11-23T02:04:38.7465021Z 
2022-11-23T02:04:38.7465157Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7465244Z import torch
2022-11-23T02:04:38.7465351Z import random
2022-11-23T02:04:38.7465512Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7465688Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7465708Z 
2022-11-23T02:04:38.7465824Z aten = torch.ops.aten
2022-11-23T02:04:38.7466012Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7466150Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7466170Z 
2022-11-23T02:04:38.7466188Z 
2022-11-23T02:04:38.7466299Z async_compile.wait(globals())
2022-11-23T02:04:38.7466414Z del async_compile
2022-11-23T02:04:38.7466433Z 
2022-11-23T02:04:38.7466537Z def call(args):
2022-11-23T02:04:38.7466702Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7466810Z     args.clear()
2022-11-23T02:04:38.7467000Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T02:04:38.7467158Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32))
2022-11-23T02:04:38.7467261Z     del arg0_1
2022-11-23T02:04:38.7467349Z     del arg1_1
2022-11-23T02:04:38.7467452Z     del arg7_1
2022-11-23T02:04:38.7467558Z     return (buf0, )
2022-11-23T02:04:38.7467578Z 
2022-11-23T02:04:38.7467596Z 
2022-11-23T02:04:38.7467707Z if __name__ == "__main__":
2022-11-23T02:04:38.7467875Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7468055Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7468345Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7468591Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7468854Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7469110Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7469366Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7469620Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7469932Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7470229Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7470450Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7470470Z 
2022-11-23T02:04:38.7470488Z 
2022-11-23T02:04:38.7470625Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7470712Z import torch
2022-11-23T02:04:38.7470817Z import random
2022-11-23T02:04:38.7470981Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7471152Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7471172Z 
2022-11-23T02:04:38.7471293Z aten = torch.ops.aten
2022-11-23T02:04:38.7471478Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7471613Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7471633Z 
2022-11-23T02:04:38.7471655Z 
2022-11-23T02:04:38.7471784Z async_compile.wait(globals())
2022-11-23T02:04:38.7471873Z del async_compile
2022-11-23T02:04:38.7471893Z 
2022-11-23T02:04:38.7472000Z def call(args):
2022-11-23T02:04:38.7472226Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7472339Z     args.clear()
2022-11-23T02:04:38.7472534Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T02:04:38.7472697Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1))
2022-11-23T02:04:38.7472802Z     del arg0_1
2022-11-23T02:04:38.7472883Z     del arg1_1
2022-11-23T02:04:38.7472986Z     del arg7_1
2022-11-23T02:04:38.7473093Z     return (buf0, )
2022-11-23T02:04:38.7473112Z 
2022-11-23T02:04:38.7473130Z 
2022-11-23T02:04:38.7473245Z if __name__ == "__main__":
2022-11-23T02:04:38.7473409Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7473582Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7473888Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7474156Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7474402Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7474664Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7474922Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7475185Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7475430Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7475735Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7475952Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7475976Z 
2022-11-23T02:04:38.7475994Z 
2022-11-23T02:04:38.7476132Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7476240Z import torch
2022-11-23T02:04:38.7476327Z import random
2022-11-23T02:04:38.7476490Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7476664Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7476683Z 
2022-11-23T02:04:38.7476802Z aten = torch.ops.aten
2022-11-23T02:04:38.7476990Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7477125Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7477145Z 
2022-11-23T02:04:38.7477165Z 
2022-11-23T02:04:38.7477299Z async_compile.wait(globals())
2022-11-23T02:04:38.7477389Z del async_compile
2022-11-23T02:04:38.7477432Z 
2022-11-23T02:04:38.7477522Z def call(args):
2022-11-23T02:04:38.7477692Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7477804Z     args.clear()
2022-11-23T02:04:38.7478073Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T02:04:38.7478238Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2022-11-23T02:04:38.7478346Z     del arg0_1
2022-11-23T02:04:38.7478451Z     del arg1_1
2022-11-23T02:04:38.7478538Z     del arg7_1
2022-11-23T02:04:38.7478651Z     return (buf0, )
2022-11-23T02:04:38.7478670Z 
2022-11-23T02:04:38.7478688Z 
2022-11-23T02:04:38.7478807Z if __name__ == "__main__":
2022-11-23T02:04:38.7478975Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7479153Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7479458Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7479728Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7479971Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7480241Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7480501Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7480760Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7481066Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7481382Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7481603Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7481623Z 
2022-11-23T02:04:38.7481642Z 
2022-11-23T02:04:38.7481788Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7481898Z import torch
2022-11-23T02:04:38.7481985Z import random
2022-11-23T02:04:38.7482157Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7482331Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7482355Z 
2022-11-23T02:04:38.7482475Z aten = torch.ops.aten
2022-11-23T02:04:38.7482668Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7482808Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7482827Z 
2022-11-23T02:04:38.7482846Z 
2022-11-23T02:04:38.7482985Z async_compile.wait(globals())
2022-11-23T02:04:38.7483102Z del async_compile
2022-11-23T02:04:38.7483121Z 
2022-11-23T02:04:38.7483211Z def call(args):
2022-11-23T02:04:38.7483386Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7483496Z     args.clear()
2022-11-23T02:04:38.7483689Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T02:04:38.7483860Z     assert_size_stride(buf0, (1, 32, 110, 110), (387200, 12100, 110, 1))
2022-11-23T02:04:38.7483969Z     del arg0_1
2022-11-23T02:04:38.7484073Z     del arg1_1
2022-11-23T02:04:38.7484156Z     del arg7_1
2022-11-23T02:04:38.7484271Z     return (buf0, )
2022-11-23T02:04:38.7484295Z 
2022-11-23T02:04:38.7484313Z 
2022-11-23T02:04:38.7484432Z if __name__ == "__main__":
2022-11-23T02:04:38.7484598Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7484775Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7485083Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7485455Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7485728Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7485966Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7486227Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7486486Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7486740Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7487140Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7487363Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7487383Z 
2022-11-23T02:04:38.7487890Z [2022-11-23 01:52:30,999] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t6/ct6znvoc3wtgm3ab5bsw5firmnznfxl7lydonhq7ofmi7n3syzuq.py
2022-11-23T02:04:38.7488257Z [2022-11-23 01:52:30,999] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 89
2022-11-23T02:04:38.7488591Z [2022-11-23 01:52:31,010] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7488994Z [2022-11-23 01:52:31,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7489296Z [2022-11-23 01:52:31,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7489630Z [2022-11-23 01:52:31,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7490067Z [2022-11-23 01:52:31,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7490498Z [2022-11-23 01:52:31,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7490963Z [2022-11-23 01:52:31,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7491394Z [2022-11-23 01:52:31,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7491733Z [2022-11-23 01:52:31,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7492063Z [2022-11-23 01:52:31,037] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7492412Z [2022-11-23 01:52:31,038] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7492743Z [2022-11-23 01:52:31,068] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7493014Z [2022-11-23 01:52:31,068] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7493210Z  __compiled_fn_91 <eval_with_key>.735 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7493351Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7493504Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7493658Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7493679Z 
2022-11-23T02:04:38.7494120Z [2022-11-23 01:52:31,069] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7494272Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7494388Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7494522Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7494665Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7494797Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7494932Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7495052Z              12 RETURN_VALUE
2022-11-23T02:04:38.7495072Z 
2022-11-23T02:04:38.7495170Z  
2022-11-23T02:04:38.7495603Z [2022-11-23 01:52:31,069] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7495740Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_91)
2022-11-23T02:04:38.7495886Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7496407Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7496898Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7497117Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7497332Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7497512Z              12 RETURN_VALUE
2022-11-23T02:04:38.7497538Z 
2022-11-23T02:04:38.7497663Z  
2022-11-23T02:04:38.7498143Z [2022-11-23 01:52:31,070] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7498330Z  - 
2022-11-23T02:04:38.7498533Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7498621Z             {
2022-11-23T02:04:38.7498801Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7499064Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7499215Z                 'obj_weakref': None
2022-11-23T02:04:38.7499530Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7499635Z             }
2022-11-23T02:04:38.7499738Z             
2022-11-23T02:04:38.7499855Z  - 
2022-11-23T02:04:38.7500043Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7500148Z             {
2022-11-23T02:04:38.7500329Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7500493Z                 'code': None,
2022-11-23T02:04:38.7500926Z                 'obj_weakref': <weakref at 0x7fa53210b6f0; to 'Tensor' at 0x7fa61aaa2f20>
2022-11-23T02:04:38.7501367Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7501472Z             }
2022-11-23T02:04:38.7501575Z             
2022-11-23T02:04:38.7501688Z  - 
2022-11-23T02:04:38.7501837Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7501945Z             {
2022-11-23T02:04:38.7502137Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7502376Z                 'code': ['___check_obj_id(model, 140351536757008)'],
2022-11-23T02:04:38.7502676Z                 'obj_weakref': <weakref at 0x7fa5504be390; to 'Sequential' at 0x7fa6237df910>
2022-11-23T02:04:38.7503010Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7503113Z             }
2022-11-23T02:04:38.7503190Z             
2022-11-23T02:04:38.7503299Z  - 
2022-11-23T02:04:38.7503481Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7503584Z             {
2022-11-23T02:04:38.7503781Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7504084Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7504260Z                 'obj_weakref': None
2022-11-23T02:04:38.7504545Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7504645Z             }
2022-11-23T02:04:38.7504740Z             
2022-11-23T02:04:38.7504850Z  - 
2022-11-23T02:04:38.7505053Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7505154Z             {
2022-11-23T02:04:38.7505336Z                 'guard_types': None,
2022-11-23T02:04:38.7505471Z                 'code': None,
2022-11-23T02:04:38.7505646Z                 'obj_weakref': None
2022-11-23T02:04:38.7505813Z                 'guarded_class': None
2022-11-23T02:04:38.7505912Z             }
2022-11-23T02:04:38.7506015Z             
2022-11-23T02:04:38.7506123Z  - 
2022-11-23T02:04:38.7506325Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7506402Z             {
2022-11-23T02:04:38.7506570Z                 'guard_types': None,
2022-11-23T02:04:38.7506726Z                 'code': None,
2022-11-23T02:04:38.7506897Z                 'obj_weakref': None
2022-11-23T02:04:38.7507070Z                 'guarded_class': None
2022-11-23T02:04:38.7507168Z             }
2022-11-23T02:04:38.7507264Z             
2022-11-23T02:04:38.7507597Z [2022-11-23 01:52:31,088] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 90
2022-11-23T02:04:38.7508091Z [2022-11-23 01:52:31,097] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yq/cyq2a3jz6qrsoqaxohd2lqiyihb2bppaqnwzzyqz5vlunxalcepq.py
2022-11-23T02:04:38.7508523Z [2022-11-23 01:52:31,097] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 90
2022-11-23T02:04:38.7508851Z [2022-11-23 01:52:31,123] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7509274Z [2022-11-23 01:52:31,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7509571Z [2022-11-23 01:52:31,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7509903Z [2022-11-23 01:52:31,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7510264Z [2022-11-23 01:52:31,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7510693Z [2022-11-23 01:52:31,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7511169Z [2022-11-23 01:52:31,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7511602Z [2022-11-23 01:52:31,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7511937Z [2022-11-23 01:52:31,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7512254Z [2022-11-23 01:52:31,152] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7512594Z [2022-11-23 01:52:31,156] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7512935Z [2022-11-23 01:52:31,185] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7513201Z [2022-11-23 01:52:31,186] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7513391Z  __compiled_fn_92 <eval_with_key>.746 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7513529Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7513652Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7513801Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7513821Z 
2022-11-23T02:04:38.7514256Z [2022-11-23 01:52:31,186] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7514395Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7514530Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7514657Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7514794Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7514918Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7515034Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7515148Z              12 RETURN_VALUE
2022-11-23T02:04:38.7515168Z 
2022-11-23T02:04:38.7515261Z  
2022-11-23T02:04:38.7515694Z [2022-11-23 01:52:31,186] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7515853Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_92)
2022-11-23T02:04:38.7515981Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7516111Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7516226Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7516337Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7516467Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7516581Z              12 RETURN_VALUE
2022-11-23T02:04:38.7516600Z 
2022-11-23T02:04:38.7516693Z  
2022-11-23T02:04:38.7516951Z [2022-11-23 01:52:31,188] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7517132Z  - 
2022-11-23T02:04:38.7517302Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7517381Z             {
2022-11-23T02:04:38.7517583Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7517846Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7518019Z                 'obj_weakref': None
2022-11-23T02:04:38.7518328Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7518426Z             }
2022-11-23T02:04:38.7518522Z             
2022-11-23T02:04:38.7518608Z  - 
2022-11-23T02:04:38.7518782Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7518880Z             {
2022-11-23T02:04:38.7519075Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7519228Z                 'code': None,
2022-11-23T02:04:38.7519514Z                 'obj_weakref': <weakref at 0x7fa550413bf0; to 'Tensor' at 0x7fa550162f20>
2022-11-23T02:04:38.7519867Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7519944Z             }
2022-11-23T02:04:38.7520040Z             
2022-11-23T02:04:38.7520145Z  - 
2022-11-23T02:04:38.7520362Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7520464Z             {
2022-11-23T02:04:38.7520655Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7520889Z                 'code': ['___check_obj_id(model, 140351536757008)'],
2022-11-23T02:04:38.7521170Z                 'obj_weakref': <weakref at 0x7fa53c445530; to 'Sequential' at 0x7fa6237df910>
2022-11-23T02:04:38.7521489Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7521589Z             }
2022-11-23T02:04:38.7521683Z             
2022-11-23T02:04:38.7521788Z  - 
2022-11-23T02:04:38.7521965Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7522068Z             {
2022-11-23T02:04:38.7522242Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7522537Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7522709Z                 'obj_weakref': None
2022-11-23T02:04:38.7523013Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7523108Z             }
2022-11-23T02:04:38.7523207Z             
2022-11-23T02:04:38.7523316Z  - 
2022-11-23T02:04:38.7523500Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7523599Z             {
2022-11-23T02:04:38.7523774Z                 'guard_types': None,
2022-11-23T02:04:38.7523924Z                 'code': None,
2022-11-23T02:04:38.7524094Z                 'obj_weakref': None
2022-11-23T02:04:38.7524271Z                 'guarded_class': None
2022-11-23T02:04:38.7524366Z             }
2022-11-23T02:04:38.7524443Z             
2022-11-23T02:04:38.7524552Z  - 
2022-11-23T02:04:38.7524752Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7524849Z             {
2022-11-23T02:04:38.7525019Z                 'guard_types': None,
2022-11-23T02:04:38.7525171Z                 'code': None,
2022-11-23T02:04:38.7525322Z                 'obj_weakref': None
2022-11-23T02:04:38.7525495Z                 'guarded_class': None
2022-11-23T02:04:38.7525591Z             }
2022-11-23T02:04:38.7525688Z             
2022-11-23T02:04:38.7526039Z [2022-11-23 01:52:31,206] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 91
2022-11-23T02:04:38.7526640Z [2022-11-23 01:52:33,902] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg77rmsbypbo4u436c7dvsf2trrpm4yhr5hf2xcppi3cl6cke334.py
2022-11-23T02:04:38.7527103Z [2022-11-23 01:52:33,902] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 91
2022-11-23T02:04:38.7527425Z [2022-11-23 01:52:33,930] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7527906Z [2022-11-23 01:52:33,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7528206Z [2022-11-23 01:52:33,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7528541Z [2022-11-23 01:52:33,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7528906Z [2022-11-23 01:52:33,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7529327Z [2022-11-23 01:52:33,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7529775Z [2022-11-23 01:52:33,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7530202Z [2022-11-23 01:52:33,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7530659Z [2022-11-23 01:52:33,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7530995Z [2022-11-23 01:52:33,956] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7531342Z [2022-11-23 01:52:33,958] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7531665Z [2022-11-23 01:52:33,987] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7531929Z [2022-11-23 01:52:33,988] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7532118Z  __compiled_fn_93 <eval_with_key>.757 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7532253Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7532401Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7532544Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7532567Z 
2022-11-23T02:04:38.7533008Z [2022-11-23 01:52:33,988] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7533151Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7533266Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7533394Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7533529Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7533654Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7533782Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7533895Z              12 RETURN_VALUE
2022-11-23T02:04:38.7533916Z 
2022-11-23T02:04:38.7534013Z  
2022-11-23T02:04:38.7534446Z [2022-11-23 01:52:33,989] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7534590Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_93)
2022-11-23T02:04:38.7534725Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7534861Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7534976Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7535103Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7535235Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7535346Z              12 RETURN_VALUE
2022-11-23T02:04:38.7535365Z 
2022-11-23T02:04:38.7535439Z  
2022-11-23T02:04:38.7535696Z [2022-11-23 01:52:33,990] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7535805Z  - 
2022-11-23T02:04:38.7535976Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7536609Z             {
2022-11-23T02:04:38.7536976Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7537416Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7537941Z                 'obj_weakref': None
2022-11-23T02:04:38.7538284Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7538384Z             }
2022-11-23T02:04:38.7538486Z             
2022-11-23T02:04:38.7538595Z  - 
2022-11-23T02:04:38.7538772Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7538871Z             {
2022-11-23T02:04:38.7539053Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7539207Z                 'code': None,
2022-11-23T02:04:38.7539496Z                 'obj_weakref': <weakref at 0x7fa53214de90; to 'Tensor' at 0x7fa559f0c950>
2022-11-23T02:04:38.7539836Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7539937Z             }
2022-11-23T02:04:38.7540034Z             
2022-11-23T02:04:38.7540140Z  - 
2022-11-23T02:04:38.7540288Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7540392Z             {
2022-11-23T02:04:38.7540582Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7540817Z                 'code': ['___check_obj_id(model, 140347991761504)'],
2022-11-23T02:04:38.7541210Z                 'obj_weakref': <weakref at 0x7fa55a05c8b0; to 'Sequential' at 0x7fa55031a260>
2022-11-23T02:04:38.7541544Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7541644Z             }
2022-11-23T02:04:38.7541739Z             
2022-11-23T02:04:38.7541825Z  - 
2022-11-23T02:04:38.7541999Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7542096Z             {
2022-11-23T02:04:38.7542289Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7542581Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7542749Z                 'obj_weakref': None
2022-11-23T02:04:38.7543054Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7543138Z             }
2022-11-23T02:04:38.7543236Z             
2022-11-23T02:04:38.7543340Z  - 
2022-11-23T02:04:38.7543542Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7543638Z             {
2022-11-23T02:04:38.7543808Z                 'guard_types': None,
2022-11-23T02:04:38.7543942Z                 'code': None,
2022-11-23T02:04:38.7544109Z                 'obj_weakref': None
2022-11-23T02:04:38.7544279Z                 'guarded_class': None
2022-11-23T02:04:38.7544375Z             }
2022-11-23T02:04:38.7544474Z             
2022-11-23T02:04:38.7544575Z  - 
2022-11-23T02:04:38.7544778Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7544855Z             {
2022-11-23T02:04:38.7545022Z                 'guard_types': None,
2022-11-23T02:04:38.7545176Z                 'code': None,
2022-11-23T02:04:38.7545339Z                 'obj_weakref': None
2022-11-23T02:04:38.7545516Z                 'guarded_class': None
2022-11-23T02:04:38.7545612Z             }
2022-11-23T02:04:38.7545703Z             
2022-11-23T02:04:38.7546037Z [2022-11-23 01:52:34,007] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 92
2022-11-23T02:04:38.7546062Z 
2022-11-23T02:04:38.7546203Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7546307Z import torch
2022-11-23T02:04:38.7546414Z import random
2022-11-23T02:04:38.7546577Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7546749Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7546768Z 
2022-11-23T02:04:38.7546885Z aten = torch.ops.aten
2022-11-23T02:04:38.7547051Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7547188Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7547208Z 
2022-11-23T02:04:38.7547227Z 
2022-11-23T02:04:38.7547421Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.7547699Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.7547943Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.7548087Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.7548181Z {
2022-11-23T02:04:38.7548327Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.7548403Z     {
2022-11-23T02:04:38.7548519Z         #pragma omp for 
2022-11-23T02:04:38.7548640Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:38.7548736Z         {
2022-11-23T02:04:38.7548854Z             #pragma GCC ivdep
2022-11-23T02:04:38.7548977Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:38.7549074Z             {
2022-11-23T02:04:38.7549177Z                 #pragma GCC ivdep
2022-11-23T02:04:38.7549309Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T02:04:38.7549407Z                 {
2022-11-23T02:04:38.7549507Z                     {
2022-11-23T02:04:38.7549613Z                         {
2022-11-23T02:04:38.7549777Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T02:04:38.7549927Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T02:04:38.7550012Z                         }
2022-11-23T02:04:38.7550116Z                     }
2022-11-23T02:04:38.7550270Z                 }
2022-11-23T02:04:38.7550374Z             }
2022-11-23T02:04:38.7550468Z         }
2022-11-23T02:04:38.7550564Z     }
2022-11-23T02:04:38.7550636Z }
2022-11-23T02:04:38.7550759Z ''')
2022-11-23T02:04:38.7550779Z 
2022-11-23T02:04:38.7550797Z 
2022-11-23T02:04:38.7550931Z async_compile.wait(globals())
2022-11-23T02:04:38.7551041Z del async_compile
2022-11-23T02:04:38.7551060Z 
2022-11-23T02:04:38.7551171Z def call(args):
2022-11-23T02:04:38.7551344Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7551452Z     args.clear()
2022-11-23T02:04:38.7551747Z     buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7551923Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.7552030Z     del arg0_1
2022-11-23T02:04:38.7552222Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T02:04:38.7552384Z     assert_size_stride(buf1, (1, 32, 110, 110), (387200, 1, 3520, 32))
2022-11-23T02:04:38.7552491Z     del arg1_1
2022-11-23T02:04:38.7552595Z     del arg7_1
2022-11-23T02:04:38.7552702Z     return (buf1, )
2022-11-23T02:04:38.7552721Z 
2022-11-23T02:04:38.7552739Z 
2022-11-23T02:04:38.7552853Z if __name__ == "__main__":
2022-11-23T02:04:38.7552997Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7553173Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7553465Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7553733Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7554002Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7554259Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7554515Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7554751Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7555003Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7555303Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7555524Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7555544Z 
2022-11-23T02:04:38.7555562Z 
2022-11-23T02:04:38.7555701Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7555810Z import torch
2022-11-23T02:04:38.7555917Z import random
2022-11-23T02:04:38.7556083Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7556328Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7556349Z 
2022-11-23T02:04:38.7556446Z aten = torch.ops.aten
2022-11-23T02:04:38.7556637Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7556774Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7556793Z 
2022-11-23T02:04:38.7556812Z 
2022-11-23T02:04:38.7556938Z async_compile.wait(globals())
2022-11-23T02:04:38.7557052Z del async_compile
2022-11-23T02:04:38.7557072Z 
2022-11-23T02:04:38.7557180Z def call(args):
2022-11-23T02:04:38.7557349Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7557455Z     args.clear()
2022-11-23T02:04:38.7557625Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T02:04:38.7557786Z     assert_size_stride(buf0, (1, 128, 110, 110), (1548800, 12100, 110, 1))
2022-11-23T02:04:38.7557889Z     del arg0_1
2022-11-23T02:04:38.7557997Z     del arg1_1
2022-11-23T02:04:38.7558096Z     del arg7_1
2022-11-23T02:04:38.7558204Z     return (buf0, )
2022-11-23T02:04:38.7558223Z 
2022-11-23T02:04:38.7558241Z 
2022-11-23T02:04:38.7558352Z if __name__ == "__main__":
2022-11-23T02:04:38.7558551Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7558735Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7559035Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7559305Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7559569Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7559830Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7560091Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7560349Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7560582Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7560888Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7561108Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7561130Z 
2022-11-23T02:04:38.7561148Z 
2022-11-23T02:04:38.7561288Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7561399Z import torch
2022-11-23T02:04:38.7561506Z import random
2022-11-23T02:04:38.7561669Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7561839Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7561858Z 
2022-11-23T02:04:38.7561957Z aten = torch.ops.aten
2022-11-23T02:04:38.7562148Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7562290Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7562310Z 
2022-11-23T02:04:38.7562332Z 
2022-11-23T02:04:38.7562526Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.7562808Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.7562985Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.7563136Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.7563229Z {
2022-11-23T02:04:38.7563354Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.7563449Z     {
2022-11-23T02:04:38.7563565Z         #pragma omp for 
2022-11-23T02:04:38.7563687Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T02:04:38.7563784Z         {
2022-11-23T02:04:38.7563903Z             #pragma GCC ivdep
2022-11-23T02:04:38.7564030Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:38.7564108Z             {
2022-11-23T02:04:38.7564227Z                 #pragma GCC ivdep
2022-11-23T02:04:38.7564361Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T02:04:38.7564459Z                 {
2022-11-23T02:04:38.7564631Z                     {
2022-11-23T02:04:38.7564735Z                         {
2022-11-23T02:04:38.7564899Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T02:04:38.7565033Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T02:04:38.7565136Z                         }
2022-11-23T02:04:38.7565241Z                     }
2022-11-23T02:04:38.7565339Z                 }
2022-11-23T02:04:38.7565436Z             }
2022-11-23T02:04:38.7565534Z         }
2022-11-23T02:04:38.7565608Z     }
2022-11-23T02:04:38.7565700Z }
2022-11-23T02:04:38.7565829Z ''')
2022-11-23T02:04:38.7565848Z 
2022-11-23T02:04:38.7565866Z 
2022-11-23T02:04:38.7565998Z async_compile.wait(globals())
2022-11-23T02:04:38.7566112Z del async_compile
2022-11-23T02:04:38.7566130Z 
2022-11-23T02:04:38.7566237Z def call(args):
2022-11-23T02:04:38.7566408Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7566517Z     args.clear()
2022-11-23T02:04:38.7566797Z     buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7566990Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.7567094Z     del arg0_1
2022-11-23T02:04:38.7567385Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T02:04:38.7567550Z     assert_size_stride(buf1, (1, 128, 110, 110), (1548800, 1, 14080, 128))
2022-11-23T02:04:38.7567653Z     del arg1_1
2022-11-23T02:04:38.7567757Z     del arg7_1
2022-11-23T02:04:38.7567846Z     return (buf1, )
2022-11-23T02:04:38.7567866Z 
2022-11-23T02:04:38.7567904Z 
2022-11-23T02:04:38.7567999Z if __name__ == "__main__":
2022-11-23T02:04:38.7568160Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7568332Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7568628Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7568897Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7569168Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7569433Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7569676Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7569935Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7570229Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7570492Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7570709Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7570729Z 
2022-11-23T02:04:38.7571226Z [2022-11-23 01:52:34,017] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/po/cpofneny2ajd45ioooxtnvui67q6i5li2x7zvcb7t5jcd6wj47fn.py
2022-11-23T02:04:38.7571591Z [2022-11-23 01:52:34,017] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 92
2022-11-23T02:04:38.7571918Z [2022-11-23 01:52:34,026] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7572346Z [2022-11-23 01:52:34,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7572642Z [2022-11-23 01:52:34,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7572959Z [2022-11-23 01:52:34,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7573321Z [2022-11-23 01:52:34,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7573738Z [2022-11-23 01:52:34,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7574270Z [2022-11-23 01:52:34,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7574693Z [2022-11-23 01:52:34,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7575030Z [2022-11-23 01:52:34,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7575348Z [2022-11-23 01:52:34,054] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7575691Z [2022-11-23 01:52:34,055] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7576455Z [2022-11-23 01:52:34,083] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7576912Z [2022-11-23 01:52:34,084] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7577236Z  __compiled_fn_94 <eval_with_key>.768 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7577449Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7577865Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7578120Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7578151Z 
2022-11-23T02:04:38.7578614Z [2022-11-23 01:52:34,084] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7578752Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7578888Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7578996Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7579136Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7579261Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7579397Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7579512Z              12 RETURN_VALUE
2022-11-23T02:04:38.7579532Z 
2022-11-23T02:04:38.7579622Z  
2022-11-23T02:04:38.7580056Z [2022-11-23 01:52:34,084] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7580213Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_94)
2022-11-23T02:04:38.7580329Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7580464Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7580579Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7580708Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7580839Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7580951Z              12 RETURN_VALUE
2022-11-23T02:04:38.7580971Z 
2022-11-23T02:04:38.7581064Z  
2022-11-23T02:04:38.7581301Z [2022-11-23 01:52:34,086] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7581415Z  - 
2022-11-23T02:04:38.7581580Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7581679Z             {
2022-11-23T02:04:38.7581939Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7582199Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7582370Z                 'obj_weakref': None
2022-11-23T02:04:38.7582661Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7582762Z             }
2022-11-23T02:04:38.7582859Z             
2022-11-23T02:04:38.7582965Z  - 
2022-11-23T02:04:38.7583144Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7583241Z             {
2022-11-23T02:04:38.7583441Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7583589Z                 'code': None,
2022-11-23T02:04:38.7583909Z                 'obj_weakref': <weakref at 0x7fa55a05dd50; to 'Tensor' at 0x7fa532109210>
2022-11-23T02:04:38.7584320Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7584419Z             }
2022-11-23T02:04:38.7584514Z             
2022-11-23T02:04:38.7584620Z  - 
2022-11-23T02:04:38.7584793Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7584871Z             {
2022-11-23T02:04:38.7585061Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7585294Z                 'code': ['___check_obj_id(model, 140347991761504)'],
2022-11-23T02:04:38.7585647Z                 'obj_weakref': <weakref at 0x7fa55a05c8b0; to 'Sequential' at 0x7fa55031a260>
2022-11-23T02:04:38.7585970Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7586068Z             }
2022-11-23T02:04:38.7586165Z             
2022-11-23T02:04:38.7586252Z  - 
2022-11-23T02:04:38.7586425Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7586522Z             {
2022-11-23T02:04:38.7586718Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7587015Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7587187Z                 'obj_weakref': None
2022-11-23T02:04:38.7587545Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7587680Z             }
2022-11-23T02:04:38.7587727Z             
2022-11-23T02:04:38.7587837Z  - 
2022-11-23T02:04:38.7588044Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7588143Z             {
2022-11-23T02:04:38.7588311Z                 'guard_types': None,
2022-11-23T02:04:38.7588467Z                 'code': None,
2022-11-23T02:04:38.7588618Z                 'obj_weakref': None
2022-11-23T02:04:38.7588785Z                 'guarded_class': None
2022-11-23T02:04:38.7588882Z             }
2022-11-23T02:04:38.7588979Z             
2022-11-23T02:04:38.7589086Z  - 
2022-11-23T02:04:38.7589292Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7589387Z             {
2022-11-23T02:04:38.7589537Z                 'guard_types': None,
2022-11-23T02:04:38.7589688Z                 'code': None,
2022-11-23T02:04:38.7589852Z                 'obj_weakref': None
2022-11-23T02:04:38.7590026Z                 'guarded_class': None
2022-11-23T02:04:38.7590123Z             }
2022-11-23T02:04:38.7590219Z             
2022-11-23T02:04:38.7590571Z [2022-11-23 01:52:34,103] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 93
2022-11-23T02:04:38.7591036Z [2022-11-23 01:52:34,124] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tr/ctr34y6jcqt2z6vzkldukguku7ihqqtrlibz2in7bw5sk24s2oek.py
2022-11-23T02:04:38.7591393Z [2022-11-23 01:52:34,125] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 93
2022-11-23T02:04:38.7591718Z [2022-11-23 01:52:34,136] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7592144Z [2022-11-23 01:52:34,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7592443Z [2022-11-23 01:52:34,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7592773Z [2022-11-23 01:52:34,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7593134Z [2022-11-23 01:52:34,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7593554Z [2022-11-23 01:52:34,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7594002Z [2022-11-23 01:52:34,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7594422Z [2022-11-23 01:52:34,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7594796Z [2022-11-23 01:52:34,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7595118Z [2022-11-23 01:52:34,162] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7595460Z [2022-11-23 01:52:34,163] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7595797Z [2022-11-23 01:52:34,193] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7596055Z [2022-11-23 01:52:34,193] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7596246Z  __compiled_fn_95 <eval_with_key>.779 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7596376Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7596519Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7596647Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7596686Z 
2022-11-23T02:04:38.7597103Z [2022-11-23 01:52:34,194] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7597286Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7597422Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7597551Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7597686Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7597810Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7597938Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7598032Z              12 RETURN_VALUE
2022-11-23T02:04:38.7598052Z 
2022-11-23T02:04:38.7598144Z  
2022-11-23T02:04:38.7598576Z [2022-11-23 01:52:34,194] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7598739Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_95)
2022-11-23T02:04:38.7598872Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7599004Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7599122Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7599251Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7599364Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7599476Z              12 RETURN_VALUE
2022-11-23T02:04:38.7599496Z 
2022-11-23T02:04:38.7599587Z  
2022-11-23T02:04:38.7599844Z [2022-11-23 01:52:34,195] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7599952Z  - 
2022-11-23T02:04:38.7600121Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7600220Z             {
2022-11-23T02:04:38.7600402Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7600662Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7600840Z                 'obj_weakref': None
2022-11-23T02:04:38.7601147Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7601245Z             }
2022-11-23T02:04:38.7601341Z             
2022-11-23T02:04:38.7601451Z  - 
2022-11-23T02:04:38.7601609Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7601707Z             {
2022-11-23T02:04:38.7601903Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7602059Z                 'code': None,
2022-11-23T02:04:38.7602348Z                 'obj_weakref': <weakref at 0x7fa55017c180; to 'Tensor' at 0x7fa550438040>
2022-11-23T02:04:38.7602688Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7602784Z             }
2022-11-23T02:04:38.7602861Z             
2022-11-23T02:04:38.7602966Z  - 
2022-11-23T02:04:38.7603135Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7603298Z             {
2022-11-23T02:04:38.7603491Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7603724Z                 'code': ['___check_obj_id(model, 140351536757104)'],
2022-11-23T02:04:38.7604022Z                 'obj_weakref': <weakref at 0x7fa53210b4c0; to 'Sequential' at 0x7fa6237df970>
2022-11-23T02:04:38.7604329Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7604428Z             }
2022-11-23T02:04:38.7604529Z             
2022-11-23T02:04:38.7604634Z  - 
2022-11-23T02:04:38.7604811Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7604904Z             {
2022-11-23T02:04:38.7605095Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7605372Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7605542Z                 'obj_weakref': None
2022-11-23T02:04:38.7605845Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7605948Z             }
2022-11-23T02:04:38.7606043Z             
2022-11-23T02:04:38.7606149Z  - 
2022-11-23T02:04:38.7606354Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7606432Z             {
2022-11-23T02:04:38.7606664Z                 'guard_types': None,
2022-11-23T02:04:38.7606827Z                 'code': None,
2022-11-23T02:04:38.7606994Z                 'obj_weakref': None
2022-11-23T02:04:38.7607163Z                 'guarded_class': None
2022-11-23T02:04:38.7607259Z             }
2022-11-23T02:04:38.7607419Z             
2022-11-23T02:04:38.7607580Z  - 
2022-11-23T02:04:38.7607774Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7607872Z             {
2022-11-23T02:04:38.7608040Z                 'guard_types': None,
2022-11-23T02:04:38.7608191Z                 'code': None,
2022-11-23T02:04:38.7608356Z                 'obj_weakref': None
2022-11-23T02:04:38.7608511Z                 'guarded_class': None
2022-11-23T02:04:38.7608613Z             }
2022-11-23T02:04:38.7608708Z             
2022-11-23T02:04:38.7609061Z [2022-11-23 01:52:34,212] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 94
2022-11-23T02:04:38.7609559Z [2022-11-23 01:52:34,222] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xe/cxec6yir6b6x6lsmc4vmbpkgi5lynb4y3cbnvny5x3v6ltg4pidv.py
2022-11-23T02:04:38.7609922Z [2022-11-23 01:52:34,222] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 94
2022-11-23T02:04:38.7610252Z [2022-11-23 01:52:34,240] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7610685Z [2022-11-23 01:52:34,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7610986Z [2022-11-23 01:52:34,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7611299Z [2022-11-23 01:52:34,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7611666Z [2022-11-23 01:52:34,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7612093Z [2022-11-23 01:52:34,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7612549Z [2022-11-23 01:52:34,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7612974Z [2022-11-23 01:52:34,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7613310Z [2022-11-23 01:52:34,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7613635Z [2022-11-23 01:52:34,270] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7614077Z [2022-11-23 01:52:34,276] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7614422Z [2022-11-23 01:52:34,305] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7614686Z [2022-11-23 01:52:34,306] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7614859Z  __compiled_fn_96 <eval_with_key>.790 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7614994Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7615137Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7615280Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7615303Z 
2022-11-23T02:04:38.7615742Z [2022-11-23 01:52:34,306] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7615882Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7616499Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7616713Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7616905Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7617336Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7617568Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7617747Z              12 RETURN_VALUE
2022-11-23T02:04:38.7617778Z 
2022-11-23T02:04:38.7617931Z  
2022-11-23T02:04:38.7618465Z [2022-11-23 01:52:34,306] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7618621Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_96)
2022-11-23T02:04:38.7618736Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7618868Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7618984Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7619122Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7619253Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7619372Z              12 RETURN_VALUE
2022-11-23T02:04:38.7619391Z 
2022-11-23T02:04:38.7619483Z  
2022-11-23T02:04:38.7619727Z [2022-11-23 01:52:34,308] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7619837Z  - 
2022-11-23T02:04:38.7620005Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7620104Z             {
2022-11-23T02:04:38.7620306Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7620570Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7620744Z                 'obj_weakref': None
2022-11-23T02:04:38.7621050Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7621132Z             }
2022-11-23T02:04:38.7621227Z             
2022-11-23T02:04:38.7621332Z  - 
2022-11-23T02:04:38.7621506Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7621610Z             {
2022-11-23T02:04:38.7621811Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7621944Z                 'code': None,
2022-11-23T02:04:38.7622236Z                 'obj_weakref': <weakref at 0x7fa53c3d6de0; to 'Tensor' at 0x7fa550384fe0>
2022-11-23T02:04:38.7622578Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7622676Z             }
2022-11-23T02:04:38.7622774Z             
2022-11-23T02:04:38.7622879Z  - 
2022-11-23T02:04:38.7623049Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7623126Z             {
2022-11-23T02:04:38.7623315Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7623546Z                 'code': ['___check_obj_id(model, 140351536757104)'],
2022-11-23T02:04:38.7623847Z                 'obj_weakref': <weakref at 0x7fa55a05ec50; to 'Sequential' at 0x7fa6237df970>
2022-11-23T02:04:38.7624169Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7624386Z             }
2022-11-23T02:04:38.7624482Z             
2022-11-23T02:04:38.7624593Z  - 
2022-11-23T02:04:38.7624750Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7624848Z             {
2022-11-23T02:04:38.7625038Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7625337Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7625506Z                 'obj_weakref': None
2022-11-23T02:04:38.7625810Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7625908Z             }
2022-11-23T02:04:38.7625984Z             
2022-11-23T02:04:38.7626087Z  - 
2022-11-23T02:04:38.7626287Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7626388Z             {
2022-11-23T02:04:38.7626558Z                 'guard_types': None,
2022-11-23T02:04:38.7626714Z                 'code': None,
2022-11-23T02:04:38.7626862Z                 'obj_weakref': None
2022-11-23T02:04:38.7627033Z                 'guarded_class': None
2022-11-23T02:04:38.7627129Z             }
2022-11-23T02:04:38.7627225Z             
2022-11-23T02:04:38.7627382Z  - 
2022-11-23T02:04:38.7627592Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7627689Z             {
2022-11-23T02:04:38.7627836Z                 'guard_types': None,
2022-11-23T02:04:38.7627988Z                 'code': None,
2022-11-23T02:04:38.7628153Z                 'obj_weakref': None
2022-11-23T02:04:38.7628320Z                 'guarded_class': None
2022-11-23T02:04:38.7628416Z             }
2022-11-23T02:04:38.7628511Z             
2022-11-23T02:04:38.7628860Z [2022-11-23 01:52:34,326] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 95
2022-11-23T02:04:38.7628883Z 
2022-11-23T02:04:38.7629000Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7629111Z import torch
2022-11-23T02:04:38.7629214Z import random
2022-11-23T02:04:38.7629380Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7629553Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7629572Z 
2022-11-23T02:04:38.7629692Z aten = torch.ops.aten
2022-11-23T02:04:38.7629884Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7630016Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7630036Z 
2022-11-23T02:04:38.7630054Z 
2022-11-23T02:04:38.7630163Z async_compile.wait(globals())
2022-11-23T02:04:38.7630270Z del async_compile
2022-11-23T02:04:38.7630289Z 
2022-11-23T02:04:38.7630398Z def call(args):
2022-11-23T02:04:38.7630569Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7630675Z     args.clear()
2022-11-23T02:04:38.7630862Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T02:04:38.7631025Z     assert_size_stride(buf0, (1, 32, 108, 108), (373248, 11664, 108, 1))
2022-11-23T02:04:38.7631133Z     del arg0_1
2022-11-23T02:04:38.7631218Z     del arg1_1
2022-11-23T02:04:38.7631319Z     del arg7_1
2022-11-23T02:04:38.7631426Z     return (buf0, )
2022-11-23T02:04:38.7631446Z 
2022-11-23T02:04:38.7631464Z 
2022-11-23T02:04:38.7631579Z if __name__ == "__main__":
2022-11-23T02:04:38.7631741Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7631921Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7632215Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7632462Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7632722Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7632985Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7633238Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7633560Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7633808Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7634119Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7634338Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7634358Z 
2022-11-23T02:04:38.7634376Z 
2022-11-23T02:04:38.7634515Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7634601Z import torch
2022-11-23T02:04:38.7634707Z import random
2022-11-23T02:04:38.7634869Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7635043Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7635062Z 
2022-11-23T02:04:38.7635185Z aten = torch.ops.aten
2022-11-23T02:04:38.7635369Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7635509Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7635528Z 
2022-11-23T02:04:38.7635546Z 
2022-11-23T02:04:38.7635741Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.7636092Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.7636268Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.7636411Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.7636507Z {
2022-11-23T02:04:38.7636652Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.7636748Z     {
2022-11-23T02:04:38.7636861Z         #pragma omp for 
2022-11-23T02:04:38.7636964Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:38.7637061Z         {
2022-11-23T02:04:38.7637180Z             #pragma GCC ivdep
2022-11-23T02:04:38.7637303Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:38.7637400Z             {
2022-11-23T02:04:38.7637518Z                 #pragma GCC ivdep
2022-11-23T02:04:38.7637634Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T02:04:38.7637733Z                 {
2022-11-23T02:04:38.7637832Z                     {
2022-11-23T02:04:38.7637936Z                         {
2022-11-23T02:04:38.7638097Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T02:04:38.7638250Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T02:04:38.7638352Z                         }
2022-11-23T02:04:38.7638435Z                     }
2022-11-23T02:04:38.7638536Z                 }
2022-11-23T02:04:38.7638632Z             }
2022-11-23T02:04:38.7638727Z         }
2022-11-23T02:04:38.7638822Z     }
2022-11-23T02:04:38.7638913Z }
2022-11-23T02:04:38.7639040Z ''')
2022-11-23T02:04:38.7639060Z 
2022-11-23T02:04:38.7639078Z 
2022-11-23T02:04:38.7639191Z async_compile.wait(globals())
2022-11-23T02:04:38.7639304Z del async_compile
2022-11-23T02:04:38.7639323Z 
2022-11-23T02:04:38.7639428Z def call(args):
2022-11-23T02:04:38.7639605Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7639713Z     args.clear()
2022-11-23T02:04:38.7640006Z     buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7640207Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.7640309Z     del arg0_1
2022-11-23T02:04:38.7640480Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T02:04:38.7640640Z     assert_size_stride(buf1, (1, 32, 108, 108), (373248, 1, 3456, 32))
2022-11-23T02:04:38.7640742Z     del arg1_1
2022-11-23T02:04:38.7640845Z     del arg7_1
2022-11-23T02:04:38.7640956Z     return (buf1, )
2022-11-23T02:04:38.7640975Z 
2022-11-23T02:04:38.7640994Z 
2022-11-23T02:04:38.7641109Z if __name__ == "__main__":
2022-11-23T02:04:38.7641271Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7641425Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7641802Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7642065Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7642336Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7642599Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7642855Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7643111Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7643358Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7643636Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7643856Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7643881Z 
2022-11-23T02:04:38.7643899Z 
2022-11-23T02:04:38.7644037Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7644144Z import torch
2022-11-23T02:04:38.7644252Z import random
2022-11-23T02:04:38.7644418Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7644671Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7644692Z 
2022-11-23T02:04:38.7644815Z aten = torch.ops.aten
2022-11-23T02:04:38.7644985Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7645132Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7645152Z 
2022-11-23T02:04:38.7645171Z 
2022-11-23T02:04:38.7645303Z async_compile.wait(globals())
2022-11-23T02:04:38.7645411Z del async_compile
2022-11-23T02:04:38.7645430Z 
2022-11-23T02:04:38.7645538Z def call(args):
2022-11-23T02:04:38.7645705Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7645813Z     args.clear()
2022-11-23T02:04:38.7646001Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T02:04:38.7646147Z     assert_size_stride(buf0, (1, 128, 108, 108), (1492992, 11664, 108, 1))
2022-11-23T02:04:38.7646251Z     del arg0_1
2022-11-23T02:04:38.7646353Z     del arg1_1
2022-11-23T02:04:38.7646459Z     del arg7_1
2022-11-23T02:04:38.7646571Z     return (buf0, )
2022-11-23T02:04:38.7646590Z 
2022-11-23T02:04:38.7646608Z 
2022-11-23T02:04:38.7646724Z if __name__ == "__main__":
2022-11-23T02:04:38.7646888Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7647062Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7647343Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7647614Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7647882Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7648142Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7648409Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7648664Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7648912Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7649219Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7649419Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7649438Z 
2022-11-23T02:04:38.7649932Z [2022-11-23 01:52:34,346] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/s6/cs6ryz5y76ysqxx6evci3mcl6rff4rs3bmhjfjsdxttylb3cp3nf.py
2022-11-23T02:04:38.7650290Z [2022-11-23 01:52:34,346] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 95
2022-11-23T02:04:38.7650611Z [2022-11-23 01:52:34,369] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7651100Z [2022-11-23 01:52:34,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7651400Z [2022-11-23 01:52:34,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7651727Z [2022-11-23 01:52:34,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7652095Z [2022-11-23 01:52:34,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7652513Z [2022-11-23 01:52:34,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7652967Z [2022-11-23 01:52:34,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7653373Z [2022-11-23 01:52:34,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7653774Z [2022-11-23 01:52:34,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7654100Z [2022-11-23 01:52:34,393] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7654449Z [2022-11-23 01:52:34,395] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7654792Z [2022-11-23 01:52:34,422] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7655054Z [2022-11-23 01:52:34,423] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7655244Z  __compiled_fn_97 <eval_with_key>.801 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7655378Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7655525Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7655648Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7655669Z 
2022-11-23T02:04:38.7656646Z [2022-11-23 01:52:34,423] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7656893Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7657103Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7657310Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7657526Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7657729Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7657946Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7658111Z              12 RETURN_VALUE
2022-11-23T02:04:38.7658142Z 
2022-11-23T02:04:38.7658289Z  
2022-11-23T02:04:38.7658818Z [2022-11-23 01:52:34,423] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7658983Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_97)
2022-11-23T02:04:38.7659116Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7659252Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7659369Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7659481Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7659618Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7659725Z              12 RETURN_VALUE
2022-11-23T02:04:38.7659745Z 
2022-11-23T02:04:38.7659837Z  
2022-11-23T02:04:38.7660093Z [2022-11-23 01:52:34,425] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7660199Z  - 
2022-11-23T02:04:38.7660369Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7660448Z             {
2022-11-23T02:04:38.7660643Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7660897Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7661232Z                 'obj_weakref': None
2022-11-23T02:04:38.7661541Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7661644Z             }
2022-11-23T02:04:38.7661741Z             
2022-11-23T02:04:38.7661827Z  - 
2022-11-23T02:04:38.7662004Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7662098Z             {
2022-11-23T02:04:38.7662296Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7662451Z                 'code': None,
2022-11-23T02:04:38.7662741Z                 'obj_weakref': <weakref at 0x7fa53214e1b0; to 'Tensor' at 0x7fa53c444770>
2022-11-23T02:04:38.7663086Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7663184Z             }
2022-11-23T02:04:38.7663261Z             
2022-11-23T02:04:38.7663365Z  - 
2022-11-23T02:04:38.7663540Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7663637Z             {
2022-11-23T02:04:38.7663906Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7664138Z                 'code': ['___check_obj_id(model, 140347486588064)'],
2022-11-23T02:04:38.7664487Z                 'obj_weakref': <weakref at 0x7fa55016c400; to 'Sequential' at 0x7fa532154ca0>
2022-11-23T02:04:38.7664824Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7664921Z             }
2022-11-23T02:04:38.7665020Z             
2022-11-23T02:04:38.7665125Z  - 
2022-11-23T02:04:38.7665297Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7665394Z             {
2022-11-23T02:04:38.7665566Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7665867Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7666038Z                 'obj_weakref': None
2022-11-23T02:04:38.7666343Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7666441Z             }
2022-11-23T02:04:38.7666539Z             
2022-11-23T02:04:38.7666645Z  - 
2022-11-23T02:04:38.7666830Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7666929Z             {
2022-11-23T02:04:38.7667100Z                 'guard_types': None,
2022-11-23T02:04:38.7667253Z                 'code': None,
2022-11-23T02:04:38.7667420Z                 'obj_weakref': None
2022-11-23T02:04:38.7667590Z                 'guarded_class': None
2022-11-23T02:04:38.7667688Z             }
2022-11-23T02:04:38.7667763Z             
2022-11-23T02:04:38.7667870Z  - 
2022-11-23T02:04:38.7668070Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7668166Z             {
2022-11-23T02:04:38.7668332Z                 'guard_types': None,
2022-11-23T02:04:38.7668483Z                 'code': None,
2022-11-23T02:04:38.7668652Z                 'obj_weakref': None
2022-11-23T02:04:38.7668809Z                 'guarded_class': None
2022-11-23T02:04:38.7668907Z             }
2022-11-23T02:04:38.7669001Z             
2022-11-23T02:04:38.7669359Z [2022-11-23 01:52:34,441] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 96
2022-11-23T02:04:38.7669846Z [2022-11-23 01:52:34,450] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jq/cjqyf3e42uy33krhq5tma6obphrb2bnewratrzle2id7k6lqwpxu.py
2022-11-23T02:04:38.7670204Z [2022-11-23 01:52:34,450] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 96
2022-11-23T02:04:38.7670527Z [2022-11-23 01:52:34,459] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7670957Z [2022-11-23 01:52:34,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7671236Z [2022-11-23 01:52:34,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7671635Z [2022-11-23 01:52:34,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7671995Z [2022-11-23 01:52:34,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7672415Z [2022-11-23 01:52:34,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7672866Z [2022-11-23 01:52:34,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7673283Z [2022-11-23 01:52:34,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7673617Z [2022-11-23 01:52:34,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7673937Z [2022-11-23 01:52:34,484] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7674282Z [2022-11-23 01:52:34,486] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7674672Z [2022-11-23 01:52:34,513] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7674921Z [2022-11-23 01:52:34,513] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7675115Z  __compiled_fn_98 <eval_with_key>.812 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7675247Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7675389Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7675533Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7675558Z 
2022-11-23T02:04:38.7675995Z [2022-11-23 01:52:34,514] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7676137Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7676269Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7676376Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7676515Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7676638Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7676768Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7676883Z              12 RETURN_VALUE
2022-11-23T02:04:38.7676903Z 
2022-11-23T02:04:38.7676994Z  
2022-11-23T02:04:38.7677426Z [2022-11-23 01:52:34,514] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7677582Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_98)
2022-11-23T02:04:38.7677697Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7677827Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7677947Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7678081Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7678212Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7678321Z              12 RETURN_VALUE
2022-11-23T02:04:38.7678340Z 
2022-11-23T02:04:38.7678432Z  
2022-11-23T02:04:38.7678669Z [2022-11-23 01:52:34,515] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7678777Z  - 
2022-11-23T02:04:38.7678943Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7679040Z             {
2022-11-23T02:04:38.7679237Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7679492Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7679661Z                 'obj_weakref': None
2022-11-23T02:04:38.7679946Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7680046Z             }
2022-11-23T02:04:38.7680142Z             
2022-11-23T02:04:38.7680380Z  - 
2022-11-23T02:04:38.7680562Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7680657Z             {
2022-11-23T02:04:38.7680857Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7680994Z                 'code': None,
2022-11-23T02:04:38.7681289Z                 'obj_weakref': <weakref at 0x7fa55016ef70; to 'Tensor' at 0x7fa55016f600>
2022-11-23T02:04:38.7681632Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7681730Z             }
2022-11-23T02:04:38.7681825Z             
2022-11-23T02:04:38.7681937Z  - 
2022-11-23T02:04:38.7682104Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7682182Z             {
2022-11-23T02:04:38.7682374Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7682612Z                 'code': ['___check_obj_id(model, 140347486588064)'],
2022-11-23T02:04:38.7682909Z                 'obj_weakref': <weakref at 0x7fa55016c400; to 'Sequential' at 0x7fa532154ca0>
2022-11-23T02:04:38.7683236Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7683332Z             }
2022-11-23T02:04:38.7683432Z             
2022-11-23T02:04:38.7683518Z  - 
2022-11-23T02:04:38.7683739Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7683841Z             {
2022-11-23T02:04:38.7684035Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7684338Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7684506Z                 'obj_weakref': None
2022-11-23T02:04:38.7684809Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7684888Z             }
2022-11-23T02:04:38.7684984Z             
2022-11-23T02:04:38.7685087Z  - 
2022-11-23T02:04:38.7685288Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7685462Z             {
2022-11-23T02:04:38.7685635Z                 'guard_types': None,
2022-11-23T02:04:38.7685789Z                 'code': None,
2022-11-23T02:04:38.7685936Z                 'obj_weakref': None
2022-11-23T02:04:38.7686107Z                 'guarded_class': None
2022-11-23T02:04:38.7686210Z             }
2022-11-23T02:04:38.7686308Z             
2022-11-23T02:04:38.7686416Z  - 
2022-11-23T02:04:38.7686615Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7686713Z             {
2022-11-23T02:04:38.7686865Z                 'guard_types': None,
2022-11-23T02:04:38.7687016Z                 'code': None,
2022-11-23T02:04:38.7687183Z                 'obj_weakref': None
2022-11-23T02:04:38.7687349Z                 'guarded_class': None
2022-11-23T02:04:38.7687446Z             }
2022-11-23T02:04:38.7687540Z             
2022-11-23T02:04:38.7687936Z [2022-11-23 01:52:34,533] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 97
2022-11-23T02:04:38.7688434Z [2022-11-23 01:52:34,542] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5p/c5prxerzath5veg7zvjocivp2rmk5qlzyrvbpy3lfr2hcvfquhzd.py
2022-11-23T02:04:38.7688801Z [2022-11-23 01:52:34,542] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 97
2022-11-23T02:04:38.7689116Z [2022-11-23 01:52:34,553] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7689541Z [2022-11-23 01:52:34,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7689839Z [2022-11-23 01:52:34,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7690169Z [2022-11-23 01:52:34,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7690530Z [2022-11-23 01:52:34,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7691032Z [2022-11-23 01:52:34,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7691488Z [2022-11-23 01:52:34,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7691891Z [2022-11-23 01:52:34,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7692226Z [2022-11-23 01:52:34,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7692550Z [2022-11-23 01:52:34,578] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7692893Z [2022-11-23 01:52:34,579] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7693235Z [2022-11-23 01:52:34,607] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7693503Z [2022-11-23 01:52:34,607] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7693692Z  __compiled_fn_99 <eval_with_key>.823 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7693880Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7694032Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7694158Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7694183Z 
2022-11-23T02:04:38.7694621Z [2022-11-23 01:52:34,608] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7694759Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7694890Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7695018Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7695157Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7695289Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7695421Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7695517Z              12 RETURN_VALUE
2022-11-23T02:04:38.7695537Z 
2022-11-23T02:04:38.7695629Z  
2022-11-23T02:04:38.7696527Z [2022-11-23 01:52:34,608] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7696807Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_99)
2022-11-23T02:04:38.7697015Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7697219Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7697404Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7697590Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7697805Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7697983Z              12 RETURN_VALUE
2022-11-23T02:04:38.7698010Z 
2022-11-23T02:04:38.7698113Z  
2022-11-23T02:04:38.7698404Z [2022-11-23 01:52:34,609] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7698511Z  - 
2022-11-23T02:04:38.7698678Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7698762Z             {
2022-11-23T02:04:38.7698962Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7699224Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7699399Z                 'obj_weakref': None
2022-11-23T02:04:38.7699709Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7699807Z             }
2022-11-23T02:04:38.7699904Z             
2022-11-23T02:04:38.7700010Z  - 
2022-11-23T02:04:38.7700169Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7700269Z             {
2022-11-23T02:04:38.7700471Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7700625Z                 'code': None,
2022-11-23T02:04:38.7700918Z                 'obj_weakref': <weakref at 0x7fa53c3d7a60; to 'Tensor' at 0x7fa61ab265c0>
2022-11-23T02:04:38.7701454Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7701551Z             }
2022-11-23T02:04:38.7701627Z             
2022-11-23T02:04:38.7701736Z  - 
2022-11-23T02:04:38.7701907Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7702006Z             {
2022-11-23T02:04:38.7702196Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7702429Z                 'code': ['___check_obj_id(model, 140351537010752)'],
2022-11-23T02:04:38.7702727Z                 'obj_weakref': <weakref at 0x7fa53227e570; to 'Sequential' at 0x7fa62381d840>
2022-11-23T02:04:38.7703029Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7703129Z             }
2022-11-23T02:04:38.7703227Z             
2022-11-23T02:04:38.7703331Z  - 
2022-11-23T02:04:38.7703505Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7703608Z             {
2022-11-23T02:04:38.7703798Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7704077Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7704367Z                 'obj_weakref': None
2022-11-23T02:04:38.7704684Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7704786Z             }
2022-11-23T02:04:38.7704881Z             
2022-11-23T02:04:38.7704988Z  - 
2022-11-23T02:04:38.7705188Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7705265Z             {
2022-11-23T02:04:38.7705433Z                 'guard_types': None,
2022-11-23T02:04:38.7705588Z                 'code': None,
2022-11-23T02:04:38.7705756Z                 'obj_weakref': None
2022-11-23T02:04:38.7705929Z                 'guarded_class': None
2022-11-23T02:04:38.7706024Z             }
2022-11-23T02:04:38.7706101Z             
2022-11-23T02:04:38.7706213Z  - 
2022-11-23T02:04:38.7706411Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7706504Z             {
2022-11-23T02:04:38.7706673Z                 'guard_types': None,
2022-11-23T02:04:38.7706827Z                 'code': None,
2022-11-23T02:04:38.7706998Z                 'obj_weakref': None
2022-11-23T02:04:38.7707148Z                 'guarded_class': None
2022-11-23T02:04:38.7707245Z             }
2022-11-23T02:04:38.7707341Z             
2022-11-23T02:04:38.7707693Z [2022-11-23 01:52:34,627] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 98
2022-11-23T02:04:38.7708189Z [2022-11-23 01:52:34,635] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/or/corlpjgxuxz6dsfs7yuccyybs2nj6kku2ewgi6byzmvph5fzxc2k.py
2022-11-23T02:04:38.7708544Z [2022-11-23 01:52:34,636] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 98
2022-11-23T02:04:38.7708862Z [2022-11-23 01:52:34,655] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7709289Z [2022-11-23 01:52:34,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7709569Z [2022-11-23 01:52:34,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7709899Z [2022-11-23 01:52:34,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7710262Z [2022-11-23 01:52:34,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7710680Z [2022-11-23 01:52:34,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7711129Z [2022-11-23 01:52:34,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7711621Z [2022-11-23 01:52:34,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7711962Z [2022-11-23 01:52:34,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7712278Z [2022-11-23 01:52:34,680] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7712619Z [2022-11-23 01:52:34,682] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7712958Z [2022-11-23 01:52:34,709] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7713196Z [2022-11-23 01:52:34,709] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7713385Z  __compiled_fn_100 <eval_with_key>.834 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7713516Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7713665Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7713810Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7713831Z 
2022-11-23T02:04:38.7714322Z [2022-11-23 01:52:34,710] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7714467Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7714600Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7714707Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7714843Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7714969Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7715098Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7715213Z              12 RETURN_VALUE
2022-11-23T02:04:38.7715234Z 
2022-11-23T02:04:38.7715325Z  
2022-11-23T02:04:38.7715757Z [2022-11-23 01:52:34,710] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7715918Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_100)
2022-11-23T02:04:38.7716031Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7716169Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7716285Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7716413Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7716546Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7716658Z              12 RETURN_VALUE
2022-11-23T02:04:38.7716677Z 
2022-11-23T02:04:38.7716771Z  
2022-11-23T02:04:38.7717008Z [2022-11-23 01:52:34,711] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7717117Z  - 
2022-11-23T02:04:38.7717287Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7717390Z             {
2022-11-23T02:04:38.7717589Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7717847Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7718023Z                 'obj_weakref': None
2022-11-23T02:04:38.7718314Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7718415Z             }
2022-11-23T02:04:38.7718517Z             
2022-11-23T02:04:38.7718626Z  - 
2022-11-23T02:04:38.7718802Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7718898Z             {
2022-11-23T02:04:38.7719097Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7719236Z                 'code': None,
2022-11-23T02:04:38.7719524Z                 'obj_weakref': <weakref at 0x7fa5504bfb00; to 'Tensor' at 0x7fa53c444090>
2022-11-23T02:04:38.7719866Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7719963Z             }
2022-11-23T02:04:38.7720057Z             
2022-11-23T02:04:38.7720166Z  - 
2022-11-23T02:04:38.7720418Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7720495Z             {
2022-11-23T02:04:38.7720686Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7720922Z                 'code': ['___check_obj_id(model, 140351537010752)'],
2022-11-23T02:04:38.7721224Z                 'obj_weakref': <weakref at 0x7fa53227e570; to 'Sequential' at 0x7fa62381d840>
2022-11-23T02:04:38.7721552Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7721651Z             }
2022-11-23T02:04:38.7721746Z             
2022-11-23T02:04:38.7721832Z  - 
2022-11-23T02:04:38.7722006Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7722105Z             {
2022-11-23T02:04:38.7722296Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7722594Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7722763Z                 'obj_weakref': None
2022-11-23T02:04:38.7723075Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7723155Z             }
2022-11-23T02:04:38.7723253Z             
2022-11-23T02:04:38.7723359Z  - 
2022-11-23T02:04:38.7723560Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7723717Z             {
2022-11-23T02:04:38.7723896Z                 'guard_types': None,
2022-11-23T02:04:38.7724055Z                 'code': None,
2022-11-23T02:04:38.7724204Z                 'obj_weakref': None
2022-11-23T02:04:38.7724378Z                 'guarded_class': None
2022-11-23T02:04:38.7724479Z             }
2022-11-23T02:04:38.7724577Z             
2022-11-23T02:04:38.7724685Z  - 
2022-11-23T02:04:38.7724890Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7724986Z             {
2022-11-23T02:04:38.7725135Z                 'guard_types': None,
2022-11-23T02:04:38.7725293Z                 'code': None,
2022-11-23T02:04:38.7725465Z                 'obj_weakref': None
2022-11-23T02:04:38.7725641Z                 'guarded_class': None
2022-11-23T02:04:38.7725740Z             }
2022-11-23T02:04:38.7725835Z             
2022-11-23T02:04:38.7726190Z [2022-11-23 01:52:34,731] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 99
2022-11-23T02:04:38.7726216Z 
2022-11-23T02:04:38.7726335Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7726444Z import torch
2022-11-23T02:04:38.7726551Z import random
2022-11-23T02:04:38.7726716Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7726888Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7726907Z 
2022-11-23T02:04:38.7727028Z aten = torch.ops.aten
2022-11-23T02:04:38.7727219Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7727334Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7727372Z 
2022-11-23T02:04:38.7727392Z 
2022-11-23T02:04:38.7727567Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.7727853Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.7728021Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.7728167Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.7728262Z {
2022-11-23T02:04:38.7728408Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.7728509Z     {
2022-11-23T02:04:38.7728609Z         #pragma omp for 
2022-11-23T02:04:38.7728732Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T02:04:38.7728829Z         {
2022-11-23T02:04:38.7728948Z             #pragma GCC ivdep
2022-11-23T02:04:38.7729073Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:38.7729170Z             {
2022-11-23T02:04:38.7729291Z                 #pragma GCC ivdep
2022-11-23T02:04:38.7729403Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T02:04:38.7729503Z                 {
2022-11-23T02:04:38.7729605Z                     {
2022-11-23T02:04:38.7729709Z                         {
2022-11-23T02:04:38.7729952Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T02:04:38.7730104Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T02:04:38.7730206Z                         }
2022-11-23T02:04:38.7730292Z                     }
2022-11-23T02:04:38.7730392Z                 }
2022-11-23T02:04:38.7730491Z             }
2022-11-23T02:04:38.7730586Z         }
2022-11-23T02:04:38.7730680Z     }
2022-11-23T02:04:38.7730771Z }
2022-11-23T02:04:38.7730878Z ''')
2022-11-23T02:04:38.7730898Z 
2022-11-23T02:04:38.7730934Z 
2022-11-23T02:04:38.7731051Z async_compile.wait(globals())
2022-11-23T02:04:38.7731161Z del async_compile
2022-11-23T02:04:38.7731180Z 
2022-11-23T02:04:38.7731287Z def call(args):
2022-11-23T02:04:38.7731456Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7731567Z     args.clear()
2022-11-23T02:04:38.7731857Z     buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7732051Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.7732137Z     del arg0_1
2022-11-23T02:04:38.7732329Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T02:04:38.7732544Z     assert_size_stride(buf1, (1, 128, 108, 108), (1492992, 1, 13824, 128))
2022-11-23T02:04:38.7732654Z     del arg1_1
2022-11-23T02:04:38.7732758Z     del arg7_1
2022-11-23T02:04:38.7732866Z     return (buf1, )
2022-11-23T02:04:38.7732886Z 
2022-11-23T02:04:38.7732904Z 
2022-11-23T02:04:38.7733018Z if __name__ == "__main__":
2022-11-23T02:04:38.7733163Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7733338Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7733634Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7733902Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7734174Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7734439Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7734706Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7734964Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7735195Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7735501Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7735722Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7735743Z 
2022-11-23T02:04:38.7735762Z 
2022-11-23T02:04:38.7735900Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7736008Z import torch
2022-11-23T02:04:38.7736737Z import random
2022-11-23T02:04:38.7737015Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7737305Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7737333Z 
2022-11-23T02:04:38.7737517Z aten = torch.ops.aten
2022-11-23T02:04:38.7737819Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7738045Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7738074Z 
2022-11-23T02:04:38.7738098Z 
2022-11-23T02:04:38.7738305Z async_compile.wait(globals())
2022-11-23T02:04:38.7738438Z del async_compile
2022-11-23T02:04:38.7738457Z 
2022-11-23T02:04:38.7738563Z def call(args):
2022-11-23T02:04:38.7738732Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7738840Z     args.clear()
2022-11-23T02:04:38.7739010Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T02:04:38.7739171Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1))
2022-11-23T02:04:38.7739274Z     del arg0_1
2022-11-23T02:04:38.7739553Z     del arg1_1
2022-11-23T02:04:38.7739654Z     del arg7_1
2022-11-23T02:04:38.7739762Z     return (buf0, )
2022-11-23T02:04:38.7739782Z 
2022-11-23T02:04:38.7739800Z 
2022-11-23T02:04:38.7739917Z if __name__ == "__main__":
2022-11-23T02:04:38.7740082Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7740239Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7740559Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7740824Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7741085Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7741342Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7741595Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7741849Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7742100Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7742384Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7742675Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7742696Z 
2022-11-23T02:04:38.7742715Z 
2022-11-23T02:04:38.7742858Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7743027Z import torch
2022-11-23T02:04:38.7743135Z import random
2022-11-23T02:04:38.7743301Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7743472Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7743491Z 
2022-11-23T02:04:38.7743606Z aten = torch.ops.aten
2022-11-23T02:04:38.7743775Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7743911Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7743938Z 
2022-11-23T02:04:38.7743956Z 
2022-11-23T02:04:38.7744088Z async_compile.wait(globals())
2022-11-23T02:04:38.7744198Z del async_compile
2022-11-23T02:04:38.7744217Z 
2022-11-23T02:04:38.7744324Z def call(args):
2022-11-23T02:04:38.7744494Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7744603Z     args.clear()
2022-11-23T02:04:38.7744794Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T02:04:38.7744932Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32))
2022-11-23T02:04:38.7745032Z     del arg0_1
2022-11-23T02:04:38.7745130Z     del arg1_1
2022-11-23T02:04:38.7745232Z     del arg7_1
2022-11-23T02:04:38.7745339Z     return (buf0, )
2022-11-23T02:04:38.7745358Z 
2022-11-23T02:04:38.7745376Z 
2022-11-23T02:04:38.7745489Z if __name__ == "__main__":
2022-11-23T02:04:38.7745651Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7745804Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7746113Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7746378Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7746643Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7746902Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7747156Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7747412Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7747658Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7747938Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7748156Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7748244Z 
2022-11-23T02:04:38.7748262Z 
2022-11-23T02:04:38.7748406Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7748512Z import torch
2022-11-23T02:04:38.7748617Z import random
2022-11-23T02:04:38.7748780Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7748951Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7748970Z 
2022-11-23T02:04:38.7749086Z aten = torch.ops.aten
2022-11-23T02:04:38.7749272Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7749387Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7749406Z 
2022-11-23T02:04:38.7749425Z 
2022-11-23T02:04:38.7749552Z async_compile.wait(globals())
2022-11-23T02:04:38.7749660Z del async_compile
2022-11-23T02:04:38.7749681Z 
2022-11-23T02:04:38.7749787Z def call(args):
2022-11-23T02:04:38.7749954Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7750062Z     args.clear()
2022-11-23T02:04:38.7750259Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T02:04:38.7750423Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1))
2022-11-23T02:04:38.7750506Z     del arg0_1
2022-11-23T02:04:38.7750606Z     del arg1_1
2022-11-23T02:04:38.7750758Z     del arg7_1
2022-11-23T02:04:38.7750873Z     return (buf0, )
2022-11-23T02:04:38.7750893Z 
2022-11-23T02:04:38.7750911Z 
2022-11-23T02:04:38.7751023Z if __name__ == "__main__":
2022-11-23T02:04:38.7751180Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7751354Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7751635Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7751902Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7752165Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7752430Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7752690Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7752954Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7753201Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7753509Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7753707Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7753747Z 
2022-11-23T02:04:38.7754221Z [2022-11-23 01:52:34,739] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ij/cijnfux3uansbazibtw345rwikdm4tlxknsq7f4h3gzzzyxnzqeu.py
2022-11-23T02:04:38.7754578Z [2022-11-23 01:52:34,739] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 99
2022-11-23T02:04:38.7754906Z [2022-11-23 01:52:34,761] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7755334Z [2022-11-23 01:52:34,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7755634Z [2022-11-23 01:52:34,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7755963Z [2022-11-23 01:52:34,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7756324Z [2022-11-23 01:52:34,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7756745Z [2022-11-23 01:52:34,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7757190Z [2022-11-23 01:52:34,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7757659Z [2022-11-23 01:52:34,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7757997Z [2022-11-23 01:52:34,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7758315Z [2022-11-23 01:52:34,786] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7758659Z [2022-11-23 01:52:34,788] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7759001Z [2022-11-23 01:52:34,814] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7759261Z [2022-11-23 01:52:34,815] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7759452Z  __compiled_fn_101 <eval_with_key>.845 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7759588Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7759732Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7759858Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7759877Z 
2022-11-23T02:04:38.7760361Z [2022-11-23 01:52:34,815] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7760505Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7760639Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7760769Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7760904Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7761030Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7761161Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7761256Z              12 RETURN_VALUE
2022-11-23T02:04:38.7761276Z 
2022-11-23T02:04:38.7761371Z  
2022-11-23T02:04:38.7761803Z [2022-11-23 01:52:34,816] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7761965Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_101)
2022-11-23T02:04:38.7762095Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7762231Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7762345Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7762454Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7762588Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7762701Z              12 RETURN_VALUE
2022-11-23T02:04:38.7762721Z 
2022-11-23T02:04:38.7762813Z  
2022-11-23T02:04:38.7763067Z [2022-11-23 01:52:34,817] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7763175Z  - 
2022-11-23T02:04:38.7763341Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7763422Z             {
2022-11-23T02:04:38.7763617Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7763874Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7764043Z                 'obj_weakref': None
2022-11-23T02:04:38.7764350Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7764451Z             }
2022-11-23T02:04:38.7764550Z             
2022-11-23T02:04:38.7764656Z  - 
2022-11-23T02:04:38.7764814Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7764910Z             {
2022-11-23T02:04:38.7765105Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7765262Z                 'code': None,
2022-11-23T02:04:38.7765558Z                 'obj_weakref': <weakref at 0x7fa53c3d4680; to 'Tensor' at 0x7fa55a0af380>
2022-11-23T02:04:38.7765905Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7766004Z             }
2022-11-23T02:04:38.7766080Z             
2022-11-23T02:04:38.7766264Z  - 
2022-11-23T02:04:38.7766435Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7766532Z             {
2022-11-23T02:04:38.7766726Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7766960Z                 'code': ['___check_obj_id(model, 140347993835312)'],
2022-11-23T02:04:38.7767260Z                 'obj_weakref': <weakref at 0x7fa53c444090; to 'Sequential' at 0x7fa550514730>
2022-11-23T02:04:38.7767563Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7767663Z             }
2022-11-23T02:04:38.7767763Z             
2022-11-23T02:04:38.7767870Z  - 
2022-11-23T02:04:38.7768041Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7768138Z             {
2022-11-23T02:04:38.7768329Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7768608Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7768848Z                 'obj_weakref': None
2022-11-23T02:04:38.7769159Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7769256Z             }
2022-11-23T02:04:38.7769352Z             
2022-11-23T02:04:38.7769457Z  - 
2022-11-23T02:04:38.7769751Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7769837Z             {
2022-11-23T02:04:38.7770011Z                 'guard_types': None,
2022-11-23T02:04:38.7770164Z                 'code': None,
2022-11-23T02:04:38.7770333Z                 'obj_weakref': None
2022-11-23T02:04:38.7770505Z                 'guarded_class': None
2022-11-23T02:04:38.7770601Z             }
2022-11-23T02:04:38.7770678Z             
2022-11-23T02:04:38.7770785Z  - 
2022-11-23T02:04:38.7770984Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7771080Z             {
2022-11-23T02:04:38.7771251Z                 'guard_types': None,
2022-11-23T02:04:38.7771403Z                 'code': None,
2022-11-23T02:04:38.7771574Z                 'obj_weakref': None
2022-11-23T02:04:38.7771727Z                 'guarded_class': None
2022-11-23T02:04:38.7771824Z             }
2022-11-23T02:04:38.7771920Z             
2022-11-23T02:04:38.7772278Z [2022-11-23 01:52:34,834] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 100
2022-11-23T02:04:38.7772782Z [2022-11-23 01:52:34,842] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m7/cm72mgnroaydldfhwsnwrfwyqmzgsgmpxazzx54i4symsnfd7j2s.py
2022-11-23T02:04:38.7773140Z [2022-11-23 01:52:34,843] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 100
2022-11-23T02:04:38.7773467Z [2022-11-23 01:52:34,851] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7773891Z [2022-11-23 01:52:34,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7774171Z [2022-11-23 01:52:34,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7774502Z [2022-11-23 01:52:34,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7774872Z [2022-11-23 01:52:34,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7775296Z [2022-11-23 01:52:34,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7775750Z [2022-11-23 01:52:34,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7776937Z [2022-11-23 01:52:34,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7777444Z [2022-11-23 01:52:34,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7777979Z [2022-11-23 01:52:34,877] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7778333Z [2022-11-23 01:52:34,878] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7778673Z [2022-11-23 01:52:34,905] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7778917Z [2022-11-23 01:52:34,906] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7779113Z  __compiled_fn_102 <eval_with_key>.856 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7779246Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7779390Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7779532Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7779556Z 
2022-11-23T02:04:38.7779995Z [2022-11-23 01:52:34,906] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7780136Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7780271Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7780380Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7780599Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7780734Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7780866Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7780982Z              12 RETURN_VALUE
2022-11-23T02:04:38.7781002Z 
2022-11-23T02:04:38.7781097Z  
2022-11-23T02:04:38.7781540Z [2022-11-23 01:52:34,906] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7781700Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_102)
2022-11-23T02:04:38.7781812Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7781944Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7782064Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7782189Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7782318Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7782429Z              12 RETURN_VALUE
2022-11-23T02:04:38.7782452Z 
2022-11-23T02:04:38.7782547Z  
2022-11-23T02:04:38.7782789Z [2022-11-23 01:52:34,907] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7782899Z  - 
2022-11-23T02:04:38.7783067Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7783165Z             {
2022-11-23T02:04:38.7783363Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7783618Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7783788Z                 'obj_weakref': None
2022-11-23T02:04:38.7784074Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7784178Z             }
2022-11-23T02:04:38.7784278Z             
2022-11-23T02:04:38.7784388Z  - 
2022-11-23T02:04:38.7784565Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7784661Z             {
2022-11-23T02:04:38.7784861Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7784998Z                 'code': None,
2022-11-23T02:04:38.7785294Z                 'obj_weakref': <weakref at 0x7fa55a0aee30; to 'Tensor' at 0x7fa55016fec0>
2022-11-23T02:04:38.7785692Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7785793Z             }
2022-11-23T02:04:38.7785888Z             
2022-11-23T02:04:38.7785997Z  - 
2022-11-23T02:04:38.7786168Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7786245Z             {
2022-11-23T02:04:38.7786434Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7786670Z                 'code': ['___check_obj_id(model, 140347993835312)'],
2022-11-23T02:04:38.7786965Z                 'obj_weakref': <weakref at 0x7fa53c444090; to 'Sequential' at 0x7fa550514730>
2022-11-23T02:04:38.7787369Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7787471Z             }
2022-11-23T02:04:38.7787565Z             
2022-11-23T02:04:38.7787659Z  - 
2022-11-23T02:04:38.7787833Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7787927Z             {
2022-11-23T02:04:38.7788119Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7788414Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7788588Z                 'obj_weakref': None
2022-11-23T02:04:38.7788891Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7788970Z             }
2022-11-23T02:04:38.7789068Z             
2022-11-23T02:04:38.7789173Z  - 
2022-11-23T02:04:38.7789375Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7789476Z             {
2022-11-23T02:04:38.7789647Z                 'guard_types': None,
2022-11-23T02:04:38.7789800Z                 'code': None,
2022-11-23T02:04:38.7789946Z                 'obj_weakref': None
2022-11-23T02:04:38.7790117Z                 'guarded_class': None
2022-11-23T02:04:38.7790284Z             }
2022-11-23T02:04:38.7790385Z             
2022-11-23T02:04:38.7790494Z  - 
2022-11-23T02:04:38.7790701Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7790797Z             {
2022-11-23T02:04:38.7790946Z                 'guard_types': None,
2022-11-23T02:04:38.7791100Z                 'code': None,
2022-11-23T02:04:38.7791267Z                 'obj_weakref': None
2022-11-23T02:04:38.7791439Z                 'guarded_class': None
2022-11-23T02:04:38.7791537Z             }
2022-11-23T02:04:38.7791635Z             
2022-11-23T02:04:38.7791989Z [2022-11-23 01:52:34,925] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 101
2022-11-23T02:04:38.7792461Z [2022-11-23 01:52:34,933] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d5/cd5hne224xqpmbz2iwctwmn3ftlihzfntp675knd3uggo3gsrfrp.py
2022-11-23T02:04:38.7792822Z [2022-11-23 01:52:34,934] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 101
2022-11-23T02:04:38.7793144Z [2022-11-23 01:52:34,945] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7793569Z [2022-11-23 01:52:34,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7793866Z [2022-11-23 01:52:34,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7794195Z [2022-11-23 01:52:34,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7794561Z [2022-11-23 01:52:34,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7794986Z [2022-11-23 01:52:34,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7795439Z [2022-11-23 01:52:34,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7795855Z [2022-11-23 01:52:34,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7796171Z [2022-11-23 01:52:34,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7796489Z [2022-11-23 01:52:34,970] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7796833Z [2022-11-23 01:52:34,972] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7797174Z [2022-11-23 01:52:35,000] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7797514Z [2022-11-23 01:52:35,001] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7797706Z  __compiled_fn_103 <eval_with_key>.867 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7797845Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7797990Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7798113Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7798138Z 
2022-11-23T02:04:38.7798580Z [2022-11-23 01:52:35,002] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7798717Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7798848Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7798977Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7799115Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7799244Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7799372Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7799468Z              12 RETURN_VALUE
2022-11-23T02:04:38.7799488Z 
2022-11-23T02:04:38.7799581Z  
2022-11-23T02:04:38.7800081Z [2022-11-23 01:52:35,002] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7800248Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_103)
2022-11-23T02:04:38.7800381Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7800513Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7800629Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7800758Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7800870Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7800983Z              12 RETURN_VALUE
2022-11-23T02:04:38.7801003Z 
2022-11-23T02:04:38.7801102Z  
2022-11-23T02:04:38.7801362Z [2022-11-23 01:52:35,003] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7801469Z  - 
2022-11-23T02:04:38.7801637Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7801735Z             {
2022-11-23T02:04:38.7801921Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7802183Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7802356Z                 'obj_weakref': None
2022-11-23T02:04:38.7802662Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7802762Z             }
2022-11-23T02:04:38.7802863Z             
2022-11-23T02:04:38.7802970Z  - 
2022-11-23T02:04:38.7803127Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7803224Z             {
2022-11-23T02:04:38.7803423Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7803577Z                 'code': None,
2022-11-23T02:04:38.7803875Z                 'obj_weakref': <weakref at 0x7fa53214d620; to 'Tensor' at 0x7fa55a0af600>
2022-11-23T02:04:38.7804219Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7804318Z             }
2022-11-23T02:04:38.7804399Z             
2022-11-23T02:04:38.7804508Z  - 
2022-11-23T02:04:38.7804677Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7804774Z             {
2022-11-23T02:04:38.7804964Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7805201Z                 'code': ['___check_obj_id(model, 140347993836992)'],
2022-11-23T02:04:38.7805502Z                 'obj_weakref': <weakref at 0x7fa61a7b5f30; to 'Sequential' at 0x7fa550514dc0>
2022-11-23T02:04:38.7805805Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7805903Z             }
2022-11-23T02:04:38.7805998Z             
2022-11-23T02:04:38.7806104Z  - 
2022-11-23T02:04:38.7806360Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7806457Z             {
2022-11-23T02:04:38.7806654Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7806933Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7807114Z                 'obj_weakref': None
2022-11-23T02:04:38.7807421Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7807522Z             }
2022-11-23T02:04:38.7807618Z             
2022-11-23T02:04:38.7807725Z  - 
2022-11-23T02:04:38.7807930Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7808007Z             {
2022-11-23T02:04:38.7808178Z                 'guard_types': None,
2022-11-23T02:04:38.7808332Z                 'code': None,
2022-11-23T02:04:38.7808497Z                 'obj_weakref': None
2022-11-23T02:04:38.7808669Z                 'guarded_class': None
2022-11-23T02:04:38.7808766Z             }
2022-11-23T02:04:38.7808867Z             
2022-11-23T02:04:38.7808965Z  - 
2022-11-23T02:04:38.7809178Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7809274Z             {
2022-11-23T02:04:38.7809447Z                 'guard_types': None,
2022-11-23T02:04:38.7809664Z                 'code': None,
2022-11-23T02:04:38.7809837Z                 'obj_weakref': None
2022-11-23T02:04:38.7809987Z                 'guarded_class': None
2022-11-23T02:04:38.7810083Z             }
2022-11-23T02:04:38.7810179Z             
2022-11-23T02:04:38.7810531Z [2022-11-23 01:52:35,020] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 102
2022-11-23T02:04:38.7811019Z [2022-11-23 01:52:35,028] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i2/ci2yxxcymttmoi3aus43srazullzlsf5zsjiog5ovwktdn2orvqr.py
2022-11-23T02:04:38.7811377Z [2022-11-23 01:52:35,028] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 102
2022-11-23T02:04:38.7811703Z [2022-11-23 01:52:35,050] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7812127Z [2022-11-23 01:52:35,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7812428Z [2022-11-23 01:52:35,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7812741Z [2022-11-23 01:52:35,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7813101Z [2022-11-23 01:52:35,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7813525Z [2022-11-23 01:52:35,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7813977Z [2022-11-23 01:52:35,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7814408Z [2022-11-23 01:52:35,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7814745Z [2022-11-23 01:52:35,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7815068Z [2022-11-23 01:52:35,075] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7815418Z [2022-11-23 01:52:35,077] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7815764Z [2022-11-23 01:52:35,104] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7816520Z [2022-11-23 01:52:35,104] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7816836Z  __compiled_fn_104 <eval_with_key>.878 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7817040Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7817507Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7817739Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7817769Z 
2022-11-23T02:04:38.7818497Z [2022-11-23 01:52:35,105] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7818646Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7818777Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7818887Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7819022Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7819149Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7819277Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7819391Z              12 RETURN_VALUE
2022-11-23T02:04:38.7819411Z 
2022-11-23T02:04:38.7819506Z  
2022-11-23T02:04:38.7819947Z [2022-11-23 01:52:35,105] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7820112Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_104)
2022-11-23T02:04:38.7820225Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7820449Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7820572Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7820699Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7820833Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7820944Z              12 RETURN_VALUE
2022-11-23T02:04:38.7820963Z 
2022-11-23T02:04:38.7821058Z  
2022-11-23T02:04:38.7821303Z [2022-11-23 01:52:35,106] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7821413Z  - 
2022-11-23T02:04:38.7821581Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7821680Z             {
2022-11-23T02:04:38.7821876Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7822135Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7822306Z                 'obj_weakref': None
2022-11-23T02:04:38.7822593Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7822696Z             }
2022-11-23T02:04:38.7822793Z             
2022-11-23T02:04:38.7822900Z  - 
2022-11-23T02:04:38.7823132Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7823229Z             {
2022-11-23T02:04:38.7823428Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7823564Z                 'code': None,
2022-11-23T02:04:38.7823853Z                 'obj_weakref': <weakref at 0x7fa53227c090; to 'Tensor' at 0x7fa53c3d5300>
2022-11-23T02:04:38.7824196Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7824295Z             }
2022-11-23T02:04:38.7824392Z             
2022-11-23T02:04:38.7824503Z  - 
2022-11-23T02:04:38.7824674Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7824751Z             {
2022-11-23T02:04:38.7824942Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7825177Z                 'code': ['___check_obj_id(model, 140347993836992)'],
2022-11-23T02:04:38.7825484Z                 'obj_weakref': <weakref at 0x7fa61a7b5f30; to 'Sequential' at 0x7fa550514dc0>
2022-11-23T02:04:38.7825803Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7825901Z             }
2022-11-23T02:04:38.7825997Z             
2022-11-23T02:04:38.7826084Z  - 
2022-11-23T02:04:38.7826260Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7826419Z             {
2022-11-23T02:04:38.7826615Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7826910Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7827078Z                 'obj_weakref': None
2022-11-23T02:04:38.7827445Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7827542Z             }
2022-11-23T02:04:38.7827618Z             
2022-11-23T02:04:38.7827726Z  - 
2022-11-23T02:04:38.7827931Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7828029Z             {
2022-11-23T02:04:38.7828201Z                 'guard_types': None,
2022-11-23T02:04:38.7828355Z                 'code': None,
2022-11-23T02:04:38.7828504Z                 'obj_weakref': None
2022-11-23T02:04:38.7828680Z                 'guarded_class': None
2022-11-23T02:04:38.7828776Z             }
2022-11-23T02:04:38.7828872Z             
2022-11-23T02:04:38.7828975Z  - 
2022-11-23T02:04:38.7829176Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7829272Z             {
2022-11-23T02:04:38.7829421Z                 'guard_types': None,
2022-11-23T02:04:38.7829573Z                 'code': None,
2022-11-23T02:04:38.7829744Z                 'obj_weakref': None
2022-11-23T02:04:38.7829915Z                 'guarded_class': None
2022-11-23T02:04:38.7830013Z             }
2022-11-23T02:04:38.7830108Z             
2022-11-23T02:04:38.7830589Z [2022-11-23 01:52:35,124] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 103
2022-11-23T02:04:38.7831070Z [2022-11-23 01:52:35,133] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/px/cpx3xs33qdv33dvpqv2ac2ttf5hpsz7rbvfdrbfaz744dtzrdsln.py
2022-11-23T02:04:38.7831436Z [2022-11-23 01:52:35,133] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 103
2022-11-23T02:04:38.7831754Z [2022-11-23 01:52:35,152] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7832179Z [2022-11-23 01:52:35,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7832478Z [2022-11-23 01:52:35,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7832813Z [2022-11-23 01:52:35,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7833178Z [2022-11-23 01:52:35,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7833599Z [2022-11-23 01:52:35,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7834043Z [2022-11-23 01:52:35,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7834474Z [2022-11-23 01:52:35,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7834784Z [2022-11-23 01:52:35,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7835105Z [2022-11-23 01:52:35,176] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7835452Z [2022-11-23 01:52:35,178] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7835797Z [2022-11-23 01:52:35,212] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7836054Z [2022-11-23 01:52:35,213] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7836239Z  __compiled_fn_105 <eval_with_key>.889 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7836371Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7836514Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7836637Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7836676Z 
2022-11-23T02:04:38.7837095Z [2022-11-23 01:52:35,213] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7837301Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7837435Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7837562Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7837701Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7837826Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7837957Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7838050Z              12 RETURN_VALUE
2022-11-23T02:04:38.7838070Z 
2022-11-23T02:04:38.7838162Z  
2022-11-23T02:04:38.7838598Z [2022-11-23 01:52:35,213] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7838756Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_105)
2022-11-23T02:04:38.7838888Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7839020Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7839139Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7839265Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7839377Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7839488Z              12 RETURN_VALUE
2022-11-23T02:04:38.7839593Z 
2022-11-23T02:04:38.7839691Z  
2022-11-23T02:04:38.7839954Z [2022-11-23 01:52:35,215] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7840065Z  - 
2022-11-23T02:04:38.7840231Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7840331Z             {
2022-11-23T02:04:38.7840516Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7840772Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7840945Z                 'obj_weakref': None
2022-11-23T02:04:38.7841250Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7841348Z             }
2022-11-23T02:04:38.7841448Z             
2022-11-23T02:04:38.7841555Z  - 
2022-11-23T02:04:38.7841712Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7841812Z             {
2022-11-23T02:04:38.7842009Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7842165Z                 'code': None,
2022-11-23T02:04:38.7842458Z                 'obj_weakref': <weakref at 0x7fa53c3a8e50; to 'Tensor' at 0x7fa55016c180>
2022-11-23T02:04:38.7842803Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7842897Z             }
2022-11-23T02:04:38.7842973Z             
2022-11-23T02:04:38.7843079Z  - 
2022-11-23T02:04:38.7843248Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7843343Z             {
2022-11-23T02:04:38.7843531Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7843765Z                 'code': ['___check_obj_id(model, 140347992230544)'],
2022-11-23T02:04:38.7844065Z                 'obj_weakref': <weakref at 0x7fa53c526c00; to 'Sequential' at 0x7fa55038ca90>
2022-11-23T02:04:38.7844372Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7844473Z             }
2022-11-23T02:04:38.7844568Z             
2022-11-23T02:04:38.7844676Z  - 
2022-11-23T02:04:38.7844850Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7844945Z             {
2022-11-23T02:04:38.7845137Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7845414Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7845585Z                 'obj_weakref': None
2022-11-23T02:04:38.7845889Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7845986Z             }
2022-11-23T02:04:38.7846081Z             
2022-11-23T02:04:38.7846187Z  - 
2022-11-23T02:04:38.7846392Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7846548Z             {
2022-11-23T02:04:38.7846720Z                 'guard_types': None,
2022-11-23T02:04:38.7846875Z                 'code': None,
2022-11-23T02:04:38.7847041Z                 'obj_weakref': None
2022-11-23T02:04:38.7847215Z                 'guarded_class': None
2022-11-23T02:04:38.7847316Z             }
2022-11-23T02:04:38.7847413Z             
2022-11-23T02:04:38.7847499Z  - 
2022-11-23T02:04:38.7847699Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7847792Z             {
2022-11-23T02:04:38.7857145Z                 'guard_types': None,
2022-11-23T02:04:38.7857535Z                 'code': None,
2022-11-23T02:04:38.7857828Z                 'obj_weakref': None
2022-11-23T02:04:38.7858124Z                 'guarded_class': None
2022-11-23T02:04:38.7858279Z             }
2022-11-23T02:04:38.7858438Z             
2022-11-23T02:04:38.7858814Z [2022-11-23 01:52:35,232] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 104
2022-11-23T02:04:38.7858855Z 
2022-11-23T02:04:38.7859000Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7859111Z import torch
2022-11-23T02:04:38.7859220Z import random
2022-11-23T02:04:38.7859389Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7859847Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7859869Z 
2022-11-23T02:04:38.7860005Z aten = torch.ops.aten
2022-11-23T02:04:38.7860178Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7860321Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7860341Z 
2022-11-23T02:04:38.7860360Z 
2022-11-23T02:04:38.7860496Z async_compile.wait(globals())
2022-11-23T02:04:38.7860612Z del async_compile
2022-11-23T02:04:38.7860631Z 
2022-11-23T02:04:38.7860742Z def call(args):
2022-11-23T02:04:38.7860918Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7861035Z     args.clear()
2022-11-23T02:04:38.7861236Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T02:04:38.7861385Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2022-11-23T02:04:38.7861492Z     del arg0_1
2022-11-23T02:04:38.7861595Z     del arg1_1
2022-11-23T02:04:38.7861699Z     del arg7_1
2022-11-23T02:04:38.7861815Z     return (buf0, )
2022-11-23T02:04:38.7861834Z 
2022-11-23T02:04:38.7861852Z 
2022-11-23T02:04:38.7861971Z if __name__ == "__main__":
2022-11-23T02:04:38.7862136Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7862317Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7862606Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7862880Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7863154Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7863414Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7863684Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7863945Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7864199Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7864513Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7864713Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7864733Z 
2022-11-23T02:04:38.7864777Z 
2022-11-23T02:04:38.7864898Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7865006Z import torch
2022-11-23T02:04:38.7865117Z import random
2022-11-23T02:04:38.7865281Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7865458Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7865477Z 
2022-11-23T02:04:38.7865726Z aten = torch.ops.aten
2022-11-23T02:04:38.7865920Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7866035Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7866054Z 
2022-11-23T02:04:38.7866095Z 
2022-11-23T02:04:38.7866209Z async_compile.wait(globals())
2022-11-23T02:04:38.7866320Z del async_compile
2022-11-23T02:04:38.7866339Z 
2022-11-23T02:04:38.7866453Z def call(args):
2022-11-23T02:04:38.7866625Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7866734Z     args.clear()
2022-11-23T02:04:38.7866926Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T02:04:38.7867091Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1))
2022-11-23T02:04:38.7867177Z     del arg0_1
2022-11-23T02:04:38.7867282Z     del arg1_1
2022-11-23T02:04:38.7867385Z     del arg7_1
2022-11-23T02:04:38.7867496Z     return (buf0, )
2022-11-23T02:04:38.7867516Z 
2022-11-23T02:04:38.7867539Z 
2022-11-23T02:04:38.7867654Z if __name__ == "__main__":
2022-11-23T02:04:38.7867823Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7867998Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7868335Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7868615Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7868878Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7869135Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7869396Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7869652Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7869906Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7870218Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7870422Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7870464Z 
2022-11-23T02:04:38.7870482Z 
2022-11-23T02:04:38.7870604Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7870715Z import torch
2022-11-23T02:04:38.7870827Z import random
2022-11-23T02:04:38.7870995Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7871172Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7871191Z 
2022-11-23T02:04:38.7871310Z aten = torch.ops.aten
2022-11-23T02:04:38.7871499Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7871616Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7871658Z 
2022-11-23T02:04:38.7871676Z 
2022-11-23T02:04:38.7871786Z async_compile.wait(globals())
2022-11-23T02:04:38.7871901Z del async_compile
2022-11-23T02:04:38.7871920Z 
2022-11-23T02:04:38.7872041Z def call(args):
2022-11-23T02:04:38.7872214Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7872326Z     args.clear()
2022-11-23T02:04:38.7872520Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T02:04:38.7872683Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32))
2022-11-23T02:04:38.7872768Z     del arg0_1
2022-11-23T02:04:38.7872872Z     del arg1_1
2022-11-23T02:04:38.7872979Z     del arg7_1
2022-11-23T02:04:38.7873090Z     return (buf0, )
2022-11-23T02:04:38.7873109Z 
2022-11-23T02:04:38.7873128Z 
2022-11-23T02:04:38.7873242Z if __name__ == "__main__":
2022-11-23T02:04:38.7873404Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7873583Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7873881Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7874199Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7874463Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7874727Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7874987Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7875247Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7875497Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7875798Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7876017Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7876037Z 
2022-11-23T02:04:38.7876057Z 
2022-11-23T02:04:38.7876197Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7876286Z import torch
2022-11-23T02:04:38.7876403Z import random
2022-11-23T02:04:38.7876576Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7876750Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7876769Z 
2022-11-23T02:04:38.7876887Z aten = torch.ops.aten
2022-11-23T02:04:38.7877134Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7877278Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7877299Z 
2022-11-23T02:04:38.7877317Z 
2022-11-23T02:04:38.7877427Z async_compile.wait(globals())
2022-11-23T02:04:38.7877543Z del async_compile
2022-11-23T02:04:38.7877562Z 
2022-11-23T02:04:38.7877677Z def call(args):
2022-11-23T02:04:38.7877845Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7877959Z     args.clear()
2022-11-23T02:04:38.7878150Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T02:04:38.7878316Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1))
2022-11-23T02:04:38.7878427Z     del arg0_1
2022-11-23T02:04:38.7878509Z     del arg1_1
2022-11-23T02:04:38.7878616Z     del arg7_1
2022-11-23T02:04:38.7878726Z     return (buf0, )
2022-11-23T02:04:38.7878745Z 
2022-11-23T02:04:38.7878763Z 
2022-11-23T02:04:38.7878881Z if __name__ == "__main__":
2022-11-23T02:04:38.7879051Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7879226Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7879531Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7879783Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7880051Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7880318Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7880579Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7880847Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7881099Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7881413Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7881636Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7881656Z 
2022-11-23T02:04:38.7881674Z 
2022-11-23T02:04:38.7881815Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7881902Z import torch
2022-11-23T02:04:38.7882012Z import random
2022-11-23T02:04:38.7882181Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7882355Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7882375Z 
2022-11-23T02:04:38.7882492Z aten = torch.ops.aten
2022-11-23T02:04:38.7882680Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7882893Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7882913Z 
2022-11-23T02:04:38.7882932Z 
2022-11-23T02:04:38.7883064Z async_compile.wait(globals())
2022-11-23T02:04:38.7883155Z del async_compile
2022-11-23T02:04:38.7883174Z 
2022-11-23T02:04:38.7883287Z def call(args):
2022-11-23T02:04:38.7883462Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7883572Z     args.clear()
2022-11-23T02:04:38.7883761Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T02:04:38.7883913Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2022-11-23T02:04:38.7884026Z     del arg0_1
2022-11-23T02:04:38.7884133Z     del arg1_1
2022-11-23T02:04:38.7884239Z     del arg7_1
2022-11-23T02:04:38.7884352Z     return (buf0, )
2022-11-23T02:04:38.7884372Z 
2022-11-23T02:04:38.7884390Z 
2022-11-23T02:04:38.7884508Z if __name__ == "__main__":
2022-11-23T02:04:38.7884676Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7884835Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7885147Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7885610Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7885897Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7886167Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7886435Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7886698Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7886947Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7887229Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7887451Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7887474Z 
2022-11-23T02:04:38.7887985Z [2022-11-23 01:52:35,241] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k6/ck6a3llsuycpro74cwmvio5agzgr3qjpmqljw63plljk2db4kgpx.py
2022-11-23T02:04:38.7888353Z [2022-11-23 01:52:35,241] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 104
2022-11-23T02:04:38.7888684Z [2022-11-23 01:52:35,250] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7889119Z [2022-11-23 01:52:35,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7889419Z [2022-11-23 01:52:35,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7889754Z [2022-11-23 01:52:35,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7890126Z [2022-11-23 01:52:35,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7890552Z [2022-11-23 01:52:35,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7890978Z [2022-11-23 01:52:35,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7891401Z [2022-11-23 01:52:35,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7891738Z [2022-11-23 01:52:35,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7892058Z [2022-11-23 01:52:35,275] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7892406Z [2022-11-23 01:52:35,277] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7892868Z [2022-11-23 01:52:35,303] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7893135Z [2022-11-23 01:52:35,304] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7893330Z  __compiled_fn_106 <eval_with_key>.900 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7893470Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7893595Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7893743Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7893763Z 
2022-11-23T02:04:38.7894209Z [2022-11-23 01:52:35,304] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7894357Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7894501Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7894640Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7894779Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7894908Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7895018Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7895198Z              12 RETURN_VALUE
2022-11-23T02:04:38.7895220Z 
2022-11-23T02:04:38.7895323Z  
2022-11-23T02:04:38.7895758Z [2022-11-23 01:52:35,305] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7895928Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_106)
2022-11-23T02:04:38.7896542Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7896771Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7896957Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7897134Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7897349Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7897548Z              12 RETURN_VALUE
2022-11-23T02:04:38.7897575Z 
2022-11-23T02:04:38.7897734Z  
2022-11-23T02:04:38.7898203Z [2022-11-23 01:52:35,306] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7898335Z  - 
2022-11-23T02:04:38.7898517Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7898598Z             {
2022-11-23T02:04:38.7898803Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7899064Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7899240Z                 'obj_weakref': None
2022-11-23T02:04:38.7899598Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7899670Z             }
2022-11-23T02:04:38.7899758Z             
2022-11-23T02:04:38.7899845Z  - 
2022-11-23T02:04:38.7900024Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7900128Z             {
2022-11-23T02:04:38.7900332Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7900502Z                 'code': None,
2022-11-23T02:04:38.7900796Z                 'obj_weakref': <weakref at 0x7fa53c3aa750; to 'Tensor' at 0x7fa55041d760>
2022-11-23T02:04:38.7901149Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7901228Z             }
2022-11-23T02:04:38.7901334Z             
2022-11-23T02:04:38.7901451Z  - 
2022-11-23T02:04:38.7901627Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7901724Z             {
2022-11-23T02:04:38.7901915Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7902156Z                 'code': ['___check_obj_id(model, 140347992230544)'],
2022-11-23T02:04:38.7902437Z                 'obj_weakref': <weakref at 0x7fa53c526c00; to 'Sequential' at 0x7fa55038ca90>
2022-11-23T02:04:38.7902762Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7903061Z             }
2022-11-23T02:04:38.7903168Z             
2022-11-23T02:04:38.7903287Z  - 
2022-11-23T02:04:38.7903465Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7903566Z             {
2022-11-23T02:04:38.7903739Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7904045Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7904220Z                 'obj_weakref': None
2022-11-23T02:04:38.7904530Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7904638Z             }
2022-11-23T02:04:38.7904743Z             
2022-11-23T02:04:38.7904855Z  - 
2022-11-23T02:04:38.7905035Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7905138Z             {
2022-11-23T02:04:38.7905311Z                 'guard_types': None,
2022-11-23T02:04:38.7905470Z                 'code': None,
2022-11-23T02:04:38.7905639Z                 'obj_weakref': None
2022-11-23T02:04:38.7905820Z                 'guarded_class': None
2022-11-23T02:04:38.7905922Z             }
2022-11-23T02:04:38.7905999Z             
2022-11-23T02:04:38.7906110Z  - 
2022-11-23T02:04:38.7906317Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7906515Z             {
2022-11-23T02:04:38.7906705Z                 'guard_types': None,
2022-11-23T02:04:38.7906913Z                 'code': None,
2022-11-23T02:04:38.7907093Z                 'obj_weakref': None
2022-11-23T02:04:38.7907218Z                 'guarded_class': None
2022-11-23T02:04:38.7907346Z             }
2022-11-23T02:04:38.7907447Z             
2022-11-23T02:04:38.7907758Z [2022-11-23 01:52:35,323] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 105
2022-11-23T02:04:38.7908255Z [2022-11-23 01:52:35,341] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t6/ct6znvoc3wtgm3ab5bsw5firmnznfxl7lydonhq7ofmi7n3syzuq.py
2022-11-23T02:04:38.7908626Z [2022-11-23 01:52:35,341] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 105
2022-11-23T02:04:38.7908954Z [2022-11-23 01:52:35,353] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7909388Z [2022-11-23 01:52:35,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7909669Z [2022-11-23 01:52:35,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7910001Z [2022-11-23 01:52:35,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7910370Z [2022-11-23 01:52:35,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7910796Z [2022-11-23 01:52:35,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7911258Z [2022-11-23 01:52:35,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7911687Z [2022-11-23 01:52:35,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7912025Z [2022-11-23 01:52:35,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7912347Z [2022-11-23 01:52:35,378] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7912698Z [2022-11-23 01:52:35,379] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7913113Z [2022-11-23 01:52:35,407] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7913359Z [2022-11-23 01:52:35,408] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7913630Z  __compiled_fn_107 <eval_with_key>.911 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7913767Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7913918Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7914067Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7914092Z 
2022-11-23T02:04:38.7914536Z [2022-11-23 01:52:35,408] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7914685Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7914823Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7914931Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7915069Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7915202Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7915337Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7915453Z              12 RETURN_VALUE
2022-11-23T02:04:38.7915476Z 
2022-11-23T02:04:38.7915574Z  
2022-11-23T02:04:38.7916010Z [2022-11-23 01:52:35,408] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7916236Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_107)
2022-11-23T02:04:38.7916384Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7916520Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7916640Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7916771Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7916908Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7917028Z              12 RETURN_VALUE
2022-11-23T02:04:38.7917047Z 
2022-11-23T02:04:38.7917145Z  
2022-11-23T02:04:38.7917383Z [2022-11-23 01:52:35,410] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7917494Z  - 
2022-11-23T02:04:38.7917671Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7917775Z             {
2022-11-23T02:04:38.7917980Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7918237Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7918413Z                 'obj_weakref': None
2022-11-23T02:04:38.7918704Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7918804Z             }
2022-11-23T02:04:38.7918904Z             
2022-11-23T02:04:38.7919024Z  - 
2022-11-23T02:04:38.7919205Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7919306Z             {
2022-11-23T02:04:38.7919488Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7919648Z                 'code': None,
2022-11-23T02:04:38.7919940Z                 'obj_weakref': <weakref at 0x7fa5321bd350; to 'Tensor' at 0x7fa53214de90>
2022-11-23T02:04:38.7920285Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7920391Z             }
2022-11-23T02:04:38.7920491Z             
2022-11-23T02:04:38.7920602Z  - 
2022-11-23T02:04:38.7920773Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7920850Z             {
2022-11-23T02:04:38.7921049Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7921288Z                 'code': ['___check_obj_id(model, 140351536756288)'],
2022-11-23T02:04:38.7921597Z                 'obj_weakref': <weakref at 0x7fa53c5241d0; to 'Sequential' at 0x7fa6237df640>
2022-11-23T02:04:38.7921929Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7922037Z             }
2022-11-23T02:04:38.7922142Z             
2022-11-23T02:04:38.7922232Z  - 
2022-11-23T02:04:38.7922413Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7922516Z             {
2022-11-23T02:04:38.7922711Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7923009Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7923263Z                 'obj_weakref': None
2022-11-23T02:04:38.7923577Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7923659Z             }
2022-11-23T02:04:38.7923761Z             
2022-11-23T02:04:38.7923871Z  - 
2022-11-23T02:04:38.7924080Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7924184Z             {
2022-11-23T02:04:38.7924362Z                 'guard_types': None,
2022-11-23T02:04:38.7924519Z                 'code': None,
2022-11-23T02:04:38.7924667Z                 'obj_weakref': None
2022-11-23T02:04:38.7924841Z                 'guarded_class': None
2022-11-23T02:04:38.7924940Z             }
2022-11-23T02:04:38.7925043Z             
2022-11-23T02:04:38.7925155Z  - 
2022-11-23T02:04:38.7925359Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7925436Z             {
2022-11-23T02:04:38.7925625Z                 'guard_types': None,
2022-11-23T02:04:38.7925781Z                 'code': None,
2022-11-23T02:04:38.7925952Z                 'obj_weakref': None
2022-11-23T02:04:38.7926131Z                 'guarded_class': None
2022-11-23T02:04:38.7926231Z             }
2022-11-23T02:04:38.7926392Z             
2022-11-23T02:04:38.7926737Z [2022-11-23 01:52:35,427] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 106
2022-11-23T02:04:38.7927239Z [2022-11-23 01:52:35,435] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yq/cyq2a3jz6qrsoqaxohd2lqiyihb2bppaqnwzzyqz5vlunxalcepq.py
2022-11-23T02:04:38.7927603Z [2022-11-23 01:52:35,435] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 106
2022-11-23T02:04:38.7927931Z [2022-11-23 01:52:35,463] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7928371Z [2022-11-23 01:52:35,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7928684Z [2022-11-23 01:52:35,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7929018Z [2022-11-23 01:52:35,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7929388Z [2022-11-23 01:52:35,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7929910Z [2022-11-23 01:52:35,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7930367Z [2022-11-23 01:52:35,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7930764Z [2022-11-23 01:52:35,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7931114Z [2022-11-23 01:52:35,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7931437Z [2022-11-23 01:52:35,489] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7931794Z [2022-11-23 01:52:35,491] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7932141Z [2022-11-23 01:52:35,518] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7932411Z [2022-11-23 01:52:35,519] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7932599Z  __compiled_fn_108 <eval_with_key>.922 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7932735Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7932861Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7933011Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7933031Z 
2022-11-23T02:04:38.7933561Z [2022-11-23 01:52:35,519] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7933704Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7933849Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7933984Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7934125Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7934257Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7934367Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7934489Z              12 RETURN_VALUE
2022-11-23T02:04:38.7934511Z 
2022-11-23T02:04:38.7934616Z  
2022-11-23T02:04:38.7935058Z [2022-11-23 01:52:35,519] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7935225Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_108)
2022-11-23T02:04:38.7935369Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7935506Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7935624Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7935732Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7935931Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7936593Z              12 RETURN_VALUE
2022-11-23T02:04:38.7936628Z 
2022-11-23T02:04:38.7936830Z  
2022-11-23T02:04:38.7937258Z [2022-11-23 01:52:35,521] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7937443Z  - 
2022-11-23T02:04:38.7937734Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7937869Z             {
2022-11-23T02:04:38.7938152Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7938423Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7938598Z                 'obj_weakref': None
2022-11-23T02:04:38.7938907Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7939019Z             }
2022-11-23T02:04:38.7939121Z             
2022-11-23T02:04:38.7939208Z  - 
2022-11-23T02:04:38.7939388Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7939493Z             {
2022-11-23T02:04:38.7939701Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7939861Z                 'code': None,
2022-11-23T02:04:38.7940154Z                 'obj_weakref': <weakref at 0x7fa55016ef70; to 'Tensor' at 0x7fa550438040>
2022-11-23T02:04:38.7940501Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7940580Z             }
2022-11-23T02:04:38.7940685Z             
2022-11-23T02:04:38.7940794Z  - 
2022-11-23T02:04:38.7940971Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7941074Z             {
2022-11-23T02:04:38.7941262Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7941502Z                 'code': ['___check_obj_id(model, 140351536756288)'],
2022-11-23T02:04:38.7941783Z                 'obj_weakref': <weakref at 0x7fa53c5241d0; to 'Sequential' at 0x7fa6237df640>
2022-11-23T02:04:38.7942112Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7942215Z             }
2022-11-23T02:04:38.7942315Z             
2022-11-23T02:04:38.7942424Z  - 
2022-11-23T02:04:38.7942606Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7942707Z             {
2022-11-23T02:04:38.7942876Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7943174Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7943346Z                 'obj_weakref': None
2022-11-23T02:04:38.7943656Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7943754Z             }
2022-11-23T02:04:38.7943859Z             
2022-11-23T02:04:38.7944164Z  - 
2022-11-23T02:04:38.7944352Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7944453Z             {
2022-11-23T02:04:38.7944627Z                 'guard_types': None,
2022-11-23T02:04:38.7944782Z                 'code': None,
2022-11-23T02:04:38.7944962Z                 'obj_weakref': None
2022-11-23T02:04:38.7945139Z                 'guarded_class': None
2022-11-23T02:04:38.7945241Z             }
2022-11-23T02:04:38.7945317Z             
2022-11-23T02:04:38.7945427Z  - 
2022-11-23T02:04:38.7945632Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7945734Z             {
2022-11-23T02:04:38.7945910Z                 'guard_types': None,
2022-11-23T02:04:38.7946068Z                 'code': None,
2022-11-23T02:04:38.7946237Z                 'obj_weakref': None
2022-11-23T02:04:38.7946391Z                 'guarded_class': None
2022-11-23T02:04:38.7946491Z             }
2022-11-23T02:04:38.7946594Z             
2022-11-23T02:04:38.7946954Z [2022-11-23 01:52:35,538] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 107
2022-11-23T02:04:38.7946979Z 
2022-11-23T02:04:38.7947120Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7947231Z import torch
2022-11-23T02:04:38.7947338Z import random
2022-11-23T02:04:38.7947569Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7947759Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7947778Z 
2022-11-23T02:04:38.7947897Z aten = torch.ops.aten
2022-11-23T02:04:38.7948088Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7948226Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7948245Z 
2022-11-23T02:04:38.7948264Z 
2022-11-23T02:04:38.7948398Z async_compile.wait(globals())
2022-11-23T02:04:38.7948508Z del async_compile
2022-11-23T02:04:38.7948527Z 
2022-11-23T02:04:38.7948633Z def call(args):
2022-11-23T02:04:38.7948786Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7948909Z     args.clear()
2022-11-23T02:04:38.7949107Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T02:04:38.7949270Z     assert_size_stride(buf0, (1, 32, 110, 110), (387200, 12100, 110, 1))
2022-11-23T02:04:38.7949383Z     del arg0_1
2022-11-23T02:04:38.7949490Z     del arg1_1
2022-11-23T02:04:38.7949594Z     del arg7_1
2022-11-23T02:04:38.7949682Z     return (buf0, )
2022-11-23T02:04:38.7949701Z 
2022-11-23T02:04:38.7949744Z 
2022-11-23T02:04:38.7949839Z if __name__ == "__main__":
2022-11-23T02:04:38.7950004Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7950180Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7950485Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7950756Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7951027Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7951291Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7951526Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7951790Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7952045Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7952355Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7952580Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7952601Z 
2022-11-23T02:04:38.7952620Z 
2022-11-23T02:04:38.7952762Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7952872Z import torch
2022-11-23T02:04:38.7952986Z import random
2022-11-23T02:04:38.7953131Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7953381Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7953402Z 
2022-11-23T02:04:38.7953524Z aten = torch.ops.aten
2022-11-23T02:04:38.7953717Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7953863Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7953883Z 
2022-11-23T02:04:38.7953901Z 
2022-11-23T02:04:38.7954104Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.7954393Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.7954567Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.7954715Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.7954791Z {
2022-11-23T02:04:38.7954936Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.7955036Z     {
2022-11-23T02:04:38.7955158Z         #pragma omp for 
2022-11-23T02:04:38.7955284Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:38.7955383Z         {
2022-11-23T02:04:38.7955488Z             #pragma GCC ivdep
2022-11-23T02:04:38.7955620Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:38.7955723Z             {
2022-11-23T02:04:38.7955850Z                 #pragma GCC ivdep
2022-11-23T02:04:38.7956044Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T02:04:38.7956150Z                 {
2022-11-23T02:04:38.7956256Z                     {
2022-11-23T02:04:38.7956340Z                         {
2022-11-23T02:04:38.7956505Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T02:04:38.7956658Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T02:04:38.7956765Z                         }
2022-11-23T02:04:38.7956881Z                     }
2022-11-23T02:04:38.7956979Z                 }
2022-11-23T02:04:38.7957080Z             }
2022-11-23T02:04:38.7957155Z         }
2022-11-23T02:04:38.7957255Z     }
2022-11-23T02:04:38.7957352Z }
2022-11-23T02:04:38.7957477Z ''')
2022-11-23T02:04:38.7957497Z 
2022-11-23T02:04:38.7957521Z 
2022-11-23T02:04:38.7957658Z async_compile.wait(globals())
2022-11-23T02:04:38.7957772Z del async_compile
2022-11-23T02:04:38.7957791Z 
2022-11-23T02:04:38.7957907Z def call(args):
2022-11-23T02:04:38.7958059Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7958175Z     args.clear()
2022-11-23T02:04:38.7958467Z     buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7958660Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.7958770Z     del arg0_1
2022-11-23T02:04:38.7958964Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T02:04:38.7959131Z     assert_size_stride(buf1, (1, 32, 110, 110), (387200, 1, 3520, 32))
2022-11-23T02:04:38.7959238Z     del arg1_1
2022-11-23T02:04:38.7959321Z     del arg7_1
2022-11-23T02:04:38.7959436Z     return (buf1, )
2022-11-23T02:04:38.7959456Z 
2022-11-23T02:04:38.7959478Z 
2022-11-23T02:04:38.7959596Z if __name__ == "__main__":
2022-11-23T02:04:38.7959764Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7959942Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7960246Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7960517Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7960757Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7961020Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7961281Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7961547Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7961797Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7962105Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7962408Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7962428Z 
2022-11-23T02:04:38.7962446Z 
2022-11-23T02:04:38.7962594Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.7962709Z import torch
2022-11-23T02:04:38.7962797Z import random
2022-11-23T02:04:38.7962966Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.7963141Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.7963162Z 
2022-11-23T02:04:38.7963286Z aten = torch.ops.aten
2022-11-23T02:04:38.7963477Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.7963614Z async_compile = AsyncCompile()
2022-11-23T02:04:38.7963633Z 
2022-11-23T02:04:38.7963651Z 
2022-11-23T02:04:38.7963784Z async_compile.wait(globals())
2022-11-23T02:04:38.7963896Z del async_compile
2022-11-23T02:04:38.7963917Z 
2022-11-23T02:04:38.7964009Z def call(args):
2022-11-23T02:04:38.7964182Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.7964299Z     args.clear()
2022-11-23T02:04:38.7964575Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T02:04:38.7964748Z     assert_size_stride(buf0, (1, 128, 110, 110), (1548800, 12100, 110, 1))
2022-11-23T02:04:38.7964859Z     del arg0_1
2022-11-23T02:04:38.7964965Z     del arg1_1
2022-11-23T02:04:38.7965047Z     del arg7_1
2022-11-23T02:04:38.7965160Z     return (buf0, )
2022-11-23T02:04:38.7965180Z 
2022-11-23T02:04:38.7965198Z 
2022-11-23T02:04:38.7965314Z if __name__ == "__main__":
2022-11-23T02:04:38.7965480Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.7965658Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.7965967Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7966246Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7966515Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7966753Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7967021Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7967285Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7967541Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.7967857Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.7968077Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.7968100Z 
2022-11-23T02:04:38.7968602Z [2022-11-23 01:52:35,556] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg77rmsbypbo4u436c7dvsf2trrpm4yhr5hf2xcppi3cl6cke334.py
2022-11-23T02:04:38.7968980Z [2022-11-23 01:52:35,556] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 107
2022-11-23T02:04:38.7969309Z [2022-11-23 01:52:35,579] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7969715Z [2022-11-23 01:52:35,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7970015Z [2022-11-23 01:52:35,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7970349Z [2022-11-23 01:52:35,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7970713Z [2022-11-23 01:52:35,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7971135Z [2022-11-23 01:52:35,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7971660Z [2022-11-23 01:52:35,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7972085Z [2022-11-23 01:52:35,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7972431Z [2022-11-23 01:52:35,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7972754Z [2022-11-23 01:52:35,604] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7973105Z [2022-11-23 01:52:35,606] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7973425Z [2022-11-23 01:52:35,635] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7973694Z [2022-11-23 01:52:35,635] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7973890Z  __compiled_fn_109 <eval_with_key>.933 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7974025Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7974227Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7974381Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7974401Z 
2022-11-23T02:04:38.7974849Z [2022-11-23 01:52:35,636] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7974995Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7975108Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7975240Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7975380Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7975513Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7975647Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7975772Z              12 RETURN_VALUE
2022-11-23T02:04:38.7975791Z 
2022-11-23T02:04:38.7975890Z  
2022-11-23T02:04:38.7977025Z [2022-11-23 01:52:35,636] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7977267Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_109)
2022-11-23T02:04:38.7977490Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7977708Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7977899Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7978107Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7978322Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7978502Z              12 RETURN_VALUE
2022-11-23T02:04:38.7978525Z 
2022-11-23T02:04:38.7978601Z  
2022-11-23T02:04:38.7978880Z [2022-11-23 01:52:35,637] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7979003Z  - 
2022-11-23T02:04:38.7979173Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7979271Z             {
2022-11-23T02:04:38.7979474Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7979741Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7979894Z                 'obj_weakref': None
2022-11-23T02:04:38.7980206Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7980313Z             }
2022-11-23T02:04:38.7980416Z             
2022-11-23T02:04:38.7980526Z  - 
2022-11-23T02:04:38.7980709Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.7980813Z             {
2022-11-23T02:04:38.7980994Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.7981151Z                 'code': None,
2022-11-23T02:04:38.7981443Z                 'obj_weakref': <weakref at 0x7fa53c3957b0; to 'Tensor' at 0x7fa61a8d8360>
2022-11-23T02:04:38.7981785Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.7982077Z             }
2022-11-23T02:04:38.7982180Z             
2022-11-23T02:04:38.7982296Z  - 
2022-11-23T02:04:38.7982446Z             local 'model' NN_MODULE
2022-11-23T02:04:38.7982549Z             {
2022-11-23T02:04:38.7982744Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.7982983Z                 'code': ['___check_obj_id(model, 140348157206704)'],
2022-11-23T02:04:38.7983291Z                 'obj_weakref': <weakref at 0x7fa53c3d50d0; to 'Sequential' at 0x7fa55a0e20b0>
2022-11-23T02:04:38.7983614Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.7983718Z             }
2022-11-23T02:04:38.7983794Z             
2022-11-23T02:04:38.7983904Z  - 
2022-11-23T02:04:38.7984080Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.7984181Z             {
2022-11-23T02:04:38.7984381Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.7984688Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.7984861Z                 'obj_weakref': None
2022-11-23T02:04:38.7985260Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.7985372Z             }
2022-11-23T02:04:38.7985477Z             
2022-11-23T02:04:38.7985638Z  - 
2022-11-23T02:04:38.7985854Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.7985961Z             {
2022-11-23T02:04:38.7986135Z                 'guard_types': None,
2022-11-23T02:04:38.7986267Z                 'code': None,
2022-11-23T02:04:38.7986440Z                 'obj_weakref': None
2022-11-23T02:04:38.7986614Z                 'guarded_class': None
2022-11-23T02:04:38.7986716Z             }
2022-11-23T02:04:38.7986817Z             
2022-11-23T02:04:38.7986931Z  - 
2022-11-23T02:04:38.7987140Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.7987222Z             {
2022-11-23T02:04:38.7987398Z                 'guard_types': None,
2022-11-23T02:04:38.7987557Z                 'code': None,
2022-11-23T02:04:38.7987728Z                 'obj_weakref': None
2022-11-23T02:04:38.7987909Z                 'guarded_class': None
2022-11-23T02:04:38.7988014Z             }
2022-11-23T02:04:38.7988114Z             
2022-11-23T02:04:38.7988447Z [2022-11-23 01:52:35,655] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 108
2022-11-23T02:04:38.7988938Z [2022-11-23 01:52:35,664] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/po/cpofneny2ajd45ioooxtnvui67q6i5li2x7zvcb7t5jcd6wj47fn.py
2022-11-23T02:04:38.7989304Z [2022-11-23 01:52:35,664] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 108
2022-11-23T02:04:38.7989636Z [2022-11-23 01:52:35,673] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.7990074Z [2022-11-23 01:52:35,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.7990377Z [2022-11-23 01:52:35,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.7990715Z [2022-11-23 01:52:35,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.7991088Z [2022-11-23 01:52:35,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.7991515Z [2022-11-23 01:52:35,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7991944Z [2022-11-23 01:52:35,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7992364Z [2022-11-23 01:52:35,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.7992854Z [2022-11-23 01:52:35,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.7993255Z [2022-11-23 01:52:35,698] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.7993607Z [2022-11-23 01:52:35,700] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.7993949Z [2022-11-23 01:52:35,726] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.7994216Z [2022-11-23 01:52:35,727] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.7994412Z  __compiled_fn_110 <eval_with_key>.944 opcode, name, target, args, kwargs
2022-11-23T02:04:38.7994551Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.7994674Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.7994821Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.7994844Z 
2022-11-23T02:04:38.7995287Z [2022-11-23 01:52:35,727] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7995481Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.7995622Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7995754Z               4 BUILD_MAP                0
2022-11-23T02:04:38.7995895Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.7996027Z               8 DICT_MERGE               1
2022-11-23T02:04:38.7996136Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.7996258Z              12 RETURN_VALUE
2022-11-23T02:04:38.7996278Z 
2022-11-23T02:04:38.7996376Z  
2022-11-23T02:04:38.7996816Z [2022-11-23 01:52:35,727] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.7996988Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_110)
2022-11-23T02:04:38.7997124Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.7997261Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.7997380Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.7997492Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.7997628Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.7997746Z              12 RETURN_VALUE
2022-11-23T02:04:38.7997765Z 
2022-11-23T02:04:38.7997866Z  
2022-11-23T02:04:38.7998125Z [2022-11-23 01:52:35,729] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.7998240Z  - 
2022-11-23T02:04:38.7998409Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.7998489Z             {
2022-11-23T02:04:38.7998692Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.7998961Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.7999135Z                 'obj_weakref': None
2022-11-23T02:04:38.7999455Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.7999556Z             }
2022-11-23T02:04:38.7999656Z             
2022-11-23T02:04:38.7999742Z  - 
2022-11-23T02:04:38.7999931Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8000037Z             {
2022-11-23T02:04:38.8000240Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8000406Z                 'code': None,
2022-11-23T02:04:38.8000735Z                 'obj_weakref': <weakref at 0x7fa55030f100; to 'Tensor' at 0x7fa55a0ad800>
2022-11-23T02:04:38.8001051Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8001129Z             }
2022-11-23T02:04:38.8001229Z             
2022-11-23T02:04:38.8001340Z  - 
2022-11-23T02:04:38.8001513Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8001614Z             {
2022-11-23T02:04:38.8001888Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8002131Z                 'code': ['___check_obj_id(model, 140348157206704)'],
2022-11-23T02:04:38.8002413Z                 'obj_weakref': <weakref at 0x7fa53c3d50d0; to 'Sequential' at 0x7fa55a0e20b0>
2022-11-23T02:04:38.8002745Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8002847Z             }
2022-11-23T02:04:38.8002947Z             
2022-11-23T02:04:38.8003058Z  - 
2022-11-23T02:04:38.8003237Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8003342Z             {
2022-11-23T02:04:38.8003516Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8003828Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8004004Z                 'obj_weakref': None
2022-11-23T02:04:38.8004311Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8004418Z             }
2022-11-23T02:04:38.8004518Z             
2022-11-23T02:04:38.8004630Z  - 
2022-11-23T02:04:38.8004815Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8004917Z             {
2022-11-23T02:04:38.8005140Z                 'guard_types': None,
2022-11-23T02:04:38.8005303Z                 'code': None,
2022-11-23T02:04:38.8005476Z                 'obj_weakref': None
2022-11-23T02:04:38.8005658Z                 'guarded_class': None
2022-11-23T02:04:38.8005764Z             }
2022-11-23T02:04:38.8005841Z             
2022-11-23T02:04:38.8005952Z  - 
2022-11-23T02:04:38.8006163Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8006261Z             {
2022-11-23T02:04:38.8006438Z                 'guard_types': None,
2022-11-23T02:04:38.8006593Z                 'code': None,
2022-11-23T02:04:38.8006740Z                 'obj_weakref': None
2022-11-23T02:04:38.8006916Z                 'guarded_class': None
2022-11-23T02:04:38.8007023Z             }
2022-11-23T02:04:38.8007129Z             
2022-11-23T02:04:38.8007487Z [2022-11-23 01:52:35,746] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 109
2022-11-23T02:04:38.8007978Z [2022-11-23 01:52:35,764] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tr/ctr34y6jcqt2z6vzkldukguku7ihqqtrlibz2in7bw5sk24s2oek.py
2022-11-23T02:04:38.8008343Z [2022-11-23 01:52:35,764] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 109
2022-11-23T02:04:38.8008676Z [2022-11-23 01:52:35,775] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8009143Z [2022-11-23 01:52:35,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8009446Z [2022-11-23 01:52:35,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8009784Z [2022-11-23 01:52:35,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8010157Z [2022-11-23 01:52:35,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8010586Z [2022-11-23 01:52:35,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8011043Z [2022-11-23 01:52:35,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8011468Z [2022-11-23 01:52:35,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8011813Z [2022-11-23 01:52:35,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8012139Z [2022-11-23 01:52:35,800] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8012576Z [2022-11-23 01:52:35,801] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8012905Z [2022-11-23 01:52:35,829] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8013181Z [2022-11-23 01:52:35,830] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8013375Z  __compiled_fn_111 <eval_with_key>.955 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8013511Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8013658Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8013804Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8013824Z 
2022-11-23T02:04:38.8014267Z [2022-11-23 01:52:35,830] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8014412Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8014532Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8014662Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8014805Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8014933Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8015120Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8015249Z              12 RETURN_VALUE
2022-11-23T02:04:38.8015269Z 
2022-11-23T02:04:38.8015369Z  
2022-11-23T02:04:38.8015804Z [2022-11-23 01:52:35,831] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8015944Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_111)
2022-11-23T02:04:38.8016599Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8016844Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8017039Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8017249Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8017482Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8017667Z              12 RETURN_VALUE
2022-11-23T02:04:38.8017699Z 
2022-11-23T02:04:38.8017823Z  
2022-11-23T02:04:38.8018208Z [2022-11-23 01:52:35,832] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8018326Z  - 
2022-11-23T02:04:38.8018500Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8018607Z             {
2022-11-23T02:04:38.8018814Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8019073Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8019225Z                 'obj_weakref': None
2022-11-23T02:04:38.8019545Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8019653Z             }
2022-11-23T02:04:38.8019759Z             
2022-11-23T02:04:38.8019869Z  - 
2022-11-23T02:04:38.8020051Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8020153Z             {
2022-11-23T02:04:38.8020333Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8020490Z                 'code': None,
2022-11-23T02:04:38.8020782Z                 'obj_weakref': <weakref at 0x7fa53c446480; to 'Tensor' at 0x7fa5321befc0>
2022-11-23T02:04:38.8021136Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8021237Z             }
2022-11-23T02:04:38.8021338Z             
2022-11-23T02:04:38.8021448Z  - 
2022-11-23T02:04:38.8021599Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8021701Z             {
2022-11-23T02:04:38.8021898Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8022135Z                 'code': ['___check_obj_id(model, 140347993844480)'],
2022-11-23T02:04:38.8022436Z                 'obj_weakref': <weakref at 0x7fa53c395350; to 'Sequential' at 0x7fa550516b00>
2022-11-23T02:04:38.8022760Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8023050Z             }
2022-11-23T02:04:38.8023151Z             
2022-11-23T02:04:38.8023241Z  - 
2022-11-23T02:04:38.8023417Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8023518Z             {
2022-11-23T02:04:38.8023716Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8024019Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8024195Z                 'obj_weakref': None
2022-11-23T02:04:38.8024498Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8024577Z             }
2022-11-23T02:04:38.8024680Z             
2022-11-23T02:04:38.8024791Z  - 
2022-11-23T02:04:38.8025000Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8025103Z             {
2022-11-23T02:04:38.8025273Z                 'guard_types': None,
2022-11-23T02:04:38.8025412Z                 'code': None,
2022-11-23T02:04:38.8025584Z                 'obj_weakref': None
2022-11-23T02:04:38.8025758Z                 'guarded_class': None
2022-11-23T02:04:38.8025862Z             }
2022-11-23T02:04:38.8025962Z             
2022-11-23T02:04:38.8026076Z  - 
2022-11-23T02:04:38.8026379Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8026464Z             {
2022-11-23T02:04:38.8026642Z                 'guard_types': None,
2022-11-23T02:04:38.8026802Z                 'code': None,
2022-11-23T02:04:38.8026973Z                 'obj_weakref': None
2022-11-23T02:04:38.8027149Z                 'guarded_class': None
2022-11-23T02:04:38.8027250Z             }
2022-11-23T02:04:38.8027350Z             
2022-11-23T02:04:38.8027686Z [2022-11-23 01:52:35,849] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 110
2022-11-23T02:04:38.8027707Z 
2022-11-23T02:04:38.8027854Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8027965Z import torch
2022-11-23T02:04:38.8028079Z import random
2022-11-23T02:04:38.8028253Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8028429Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8028449Z 
2022-11-23T02:04:38.8028576Z aten = torch.ops.aten
2022-11-23T02:04:38.8028749Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8028887Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8028907Z 
2022-11-23T02:04:38.8028926Z 
2022-11-23T02:04:38.8029126Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8029416Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8029589Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8029745Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8029843Z {
2022-11-23T02:04:38.8029989Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8030064Z     {
2022-11-23T02:04:38.8030183Z         #pragma omp for 
2022-11-23T02:04:38.8030315Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T02:04:38.8030414Z         {
2022-11-23T02:04:38.8030541Z             #pragma GCC ivdep
2022-11-23T02:04:38.8030669Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:38.8030770Z             {
2022-11-23T02:04:38.8030874Z                 #pragma GCC ivdep
2022-11-23T02:04:38.8031009Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T02:04:38.8031112Z                 {
2022-11-23T02:04:38.8031223Z                     {
2022-11-23T02:04:38.8031327Z                         {
2022-11-23T02:04:38.8031491Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T02:04:38.8031648Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T02:04:38.8031732Z                         }
2022-11-23T02:04:38.8031835Z                     }
2022-11-23T02:04:38.8031936Z                 }
2022-11-23T02:04:38.8032036Z             }
2022-11-23T02:04:38.8032131Z         }
2022-11-23T02:04:38.8032297Z     }
2022-11-23T02:04:38.8032369Z }
2022-11-23T02:04:38.8032503Z ''')
2022-11-23T02:04:38.8032522Z 
2022-11-23T02:04:38.8032541Z 
2022-11-23T02:04:38.8032678Z async_compile.wait(globals())
2022-11-23T02:04:38.8032790Z del async_compile
2022-11-23T02:04:38.8032809Z 
2022-11-23T02:04:38.8032924Z def call(args):
2022-11-23T02:04:38.8033102Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8033217Z     args.clear()
2022-11-23T02:04:38.8033512Z     buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8033683Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8033791Z     del arg0_1
2022-11-23T02:04:38.8033987Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T02:04:38.8034152Z     assert_size_stride(buf1, (1, 128, 110, 110), (1548800, 1, 14080, 128))
2022-11-23T02:04:38.8034260Z     del arg1_1
2022-11-23T02:04:38.8034369Z     del arg7_1
2022-11-23T02:04:38.8034486Z     return (buf1, )
2022-11-23T02:04:38.8034505Z 
2022-11-23T02:04:38.8034523Z 
2022-11-23T02:04:38.8034643Z if __name__ == "__main__":
2022-11-23T02:04:38.8034785Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8035018Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8035327Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8035603Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8035873Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8036143Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8036404Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8036641Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8036895Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8037212Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8037440Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8037459Z 
2022-11-23T02:04:38.8037479Z 
2022-11-23T02:04:38.8037628Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8037738Z import torch
2022-11-23T02:04:38.8037855Z import random
2022-11-23T02:04:38.8038024Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8038200Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8038219Z 
2022-11-23T02:04:38.8038316Z aten = torch.ops.aten
2022-11-23T02:04:38.8038515Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8038658Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8038677Z 
2022-11-23T02:04:38.8038695Z 
2022-11-23T02:04:38.8038835Z async_compile.wait(globals())
2022-11-23T02:04:38.8038948Z del async_compile
2022-11-23T02:04:38.8038967Z 
2022-11-23T02:04:38.8039077Z def call(args):
2022-11-23T02:04:38.8039251Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8039367Z     args.clear()
2022-11-23T02:04:38.8039538Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T02:04:38.8039706Z     assert_size_stride(buf0, (1, 32, 108, 108), (373248, 11664, 108, 1))
2022-11-23T02:04:38.8039820Z     del arg0_1
2022-11-23T02:04:38.8039922Z     del arg1_1
2022-11-23T02:04:38.8040029Z     del arg7_1
2022-11-23T02:04:38.8040141Z     return (buf0, )
2022-11-23T02:04:38.8040160Z 
2022-11-23T02:04:38.8040179Z 
2022-11-23T02:04:38.8040295Z if __name__ == "__main__":
2022-11-23T02:04:38.8040437Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8040619Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8040996Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8041266Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8041535Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8041803Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8042065Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8042322Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8042551Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8042865Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8043089Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8043109Z 
2022-11-23T02:04:38.8043130Z 
2022-11-23T02:04:38.8043278Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8043390Z import torch
2022-11-23T02:04:38.8043502Z import random
2022-11-23T02:04:38.8043670Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8043908Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8043929Z 
2022-11-23T02:04:38.8044033Z aten = torch.ops.aten
2022-11-23T02:04:38.8044228Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8044367Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8044386Z 
2022-11-23T02:04:38.8044404Z 
2022-11-23T02:04:38.8044597Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8044882Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8045060Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8045208Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8045312Z {
2022-11-23T02:04:38.8045436Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8045536Z     {
2022-11-23T02:04:38.8045660Z         #pragma omp for 
2022-11-23T02:04:38.8045787Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:38.8045891Z         {
2022-11-23T02:04:38.8046016Z             #pragma GCC ivdep
2022-11-23T02:04:38.8046143Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:38.8046220Z             {
2022-11-23T02:04:38.8046346Z                 #pragma GCC ivdep
2022-11-23T02:04:38.8046478Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T02:04:38.8046578Z                 {
2022-11-23T02:04:38.8046687Z                     {
2022-11-23T02:04:38.8046794Z                         {
2022-11-23T02:04:38.8046962Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T02:04:38.8047096Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T02:04:38.8047200Z                         }
2022-11-23T02:04:38.8047305Z                     }
2022-11-23T02:04:38.8047410Z                 }
2022-11-23T02:04:38.8047513Z             }
2022-11-23T02:04:38.8047611Z         }
2022-11-23T02:04:38.8047685Z     }
2022-11-23T02:04:38.8047783Z }
2022-11-23T02:04:38.8047909Z ''')
2022-11-23T02:04:38.8047928Z 
2022-11-23T02:04:38.8047946Z 
2022-11-23T02:04:38.8048090Z async_compile.wait(globals())
2022-11-23T02:04:38.8048204Z del async_compile
2022-11-23T02:04:38.8048223Z 
2022-11-23T02:04:38.8048333Z def call(args):
2022-11-23T02:04:38.8048509Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8048618Z     args.clear()
2022-11-23T02:04:38.8048891Z     buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8049085Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8049196Z     del arg0_1
2022-11-23T02:04:38.8049389Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T02:04:38.8049630Z     assert_size_stride(buf1, (1, 32, 108, 108), (373248, 1, 3456, 32))
2022-11-23T02:04:38.8049738Z     del arg1_1
2022-11-23T02:04:38.8049852Z     del arg7_1
2022-11-23T02:04:38.8049942Z     return (buf1, )
2022-11-23T02:04:38.8049961Z 
2022-11-23T02:04:38.8050003Z 
2022-11-23T02:04:38.8050101Z if __name__ == "__main__":
2022-11-23T02:04:38.8050269Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8050450Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8050750Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8051018Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8051282Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8051541Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8051781Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8052042Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8052292Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8052679Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8052909Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8052928Z 
2022-11-23T02:04:38.8053431Z [2022-11-23 01:52:35,857] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xe/cxec6yir6b6x6lsmc4vmbpkgi5lynb4y3cbnvny5x3v6ltg4pidv.py
2022-11-23T02:04:38.8053796Z [2022-11-23 01:52:35,858] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 110
2022-11-23T02:04:38.8054122Z [2022-11-23 01:52:35,878] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8054559Z [2022-11-23 01:52:35,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8054866Z [2022-11-23 01:52:35,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8055181Z [2022-11-23 01:52:35,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8055554Z [2022-11-23 01:52:35,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8055974Z [2022-11-23 01:52:35,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8057352Z [2022-11-23 01:52:35,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8058120Z [2022-11-23 01:52:35,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8058576Z [2022-11-23 01:52:35,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8058906Z [2022-11-23 01:52:35,904] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8059253Z [2022-11-23 01:52:35,906] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8059599Z [2022-11-23 01:52:35,933] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8059838Z [2022-11-23 01:52:35,933] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8060032Z  __compiled_fn_112 <eval_with_key>.966 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8060167Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8060315Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8060464Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8060656Z 
2022-11-23T02:04:38.8061117Z [2022-11-23 01:52:35,934] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8061260Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8061446Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8061556Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8061698Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8061831Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8061968Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8062087Z              12 RETURN_VALUE
2022-11-23T02:04:38.8062106Z 
2022-11-23T02:04:38.8062203Z  
2022-11-23T02:04:38.8062636Z [2022-11-23 01:52:35,934] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8062801Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_112)
2022-11-23T02:04:38.8062921Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8063057Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8063178Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8063388Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8063534Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8063650Z              12 RETURN_VALUE
2022-11-23T02:04:38.8063669Z 
2022-11-23T02:04:38.8063765Z  
2022-11-23T02:04:38.8064001Z [2022-11-23 01:52:35,935] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8064117Z  - 
2022-11-23T02:04:38.8064290Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8064398Z             {
2022-11-23T02:04:38.8064600Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8064864Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8065039Z                 'obj_weakref': None
2022-11-23T02:04:38.8065330Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8065432Z             }
2022-11-23T02:04:38.8065532Z             
2022-11-23T02:04:38.8065645Z  - 
2022-11-23T02:04:38.8065825Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8065934Z             {
2022-11-23T02:04:38.8066144Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8066279Z                 'code': None,
2022-11-23T02:04:38.8066577Z                 'obj_weakref': <weakref at 0x7fa53c474bd0; to 'Tensor' at 0x7fa61a8d8360>
2022-11-23T02:04:38.8066924Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8067029Z             }
2022-11-23T02:04:38.8067132Z             
2022-11-23T02:04:38.8067245Z  - 
2022-11-23T02:04:38.8067423Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8067499Z             {
2022-11-23T02:04:38.8067693Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8067935Z                 'code': ['___check_obj_id(model, 140347993844480)'],
2022-11-23T02:04:38.8068239Z                 'obj_weakref': <weakref at 0x7fa53c395350; to 'Sequential' at 0x7fa550516b00>
2022-11-23T02:04:38.8068566Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8068673Z             }
2022-11-23T02:04:38.8068774Z             
2022-11-23T02:04:38.8068861Z  - 
2022-11-23T02:04:38.8069046Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8069150Z             {
2022-11-23T02:04:38.8069344Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8069644Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8069816Z                 'obj_weakref': None
2022-11-23T02:04:38.8070128Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8070299Z             }
2022-11-23T02:04:38.8070377Z             
2022-11-23T02:04:38.8070493Z  - 
2022-11-23T02:04:38.8070705Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8070806Z             {
2022-11-23T02:04:38.8070986Z                 'guard_types': None,
2022-11-23T02:04:38.8071151Z                 'code': None,
2022-11-23T02:04:38.8071301Z                 'obj_weakref': None
2022-11-23T02:04:38.8071477Z                 'guarded_class': None
2022-11-23T02:04:38.8071581Z             }
2022-11-23T02:04:38.8071681Z             
2022-11-23T02:04:38.8071792Z  - 
2022-11-23T02:04:38.8071999Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8072103Z             {
2022-11-23T02:04:38.8072253Z                 'guard_types': None,
2022-11-23T02:04:38.8072416Z                 'code': None,
2022-11-23T02:04:38.8072589Z                 'obj_weakref': None
2022-11-23T02:04:38.8072763Z                 'guarded_class': None
2022-11-23T02:04:38.8072868Z             }
2022-11-23T02:04:38.8072969Z             
2022-11-23T02:04:38.8073381Z [2022-11-23 01:52:35,953] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 111
2022-11-23T02:04:38.8073891Z [2022-11-23 01:52:35,970] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/s6/cs6ryz5y76ysqxx6evci3mcl6rff4rs3bmhjfjsdxttylb3cp3nf.py
2022-11-23T02:04:38.8074264Z [2022-11-23 01:52:35,971] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 111
2022-11-23T02:04:38.8074591Z [2022-11-23 01:52:35,994] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8075018Z [2022-11-23 01:52:35,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8075322Z [2022-11-23 01:52:35,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8075654Z [2022-11-23 01:52:35,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8076023Z [2022-11-23 01:52:35,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8076450Z [2022-11-23 01:52:35,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8076903Z [2022-11-23 01:52:35,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8077324Z [2022-11-23 01:52:35,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8077643Z [2022-11-23 01:52:36,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8077967Z [2022-11-23 01:52:36,022] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8078319Z [2022-11-23 01:52:36,024] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8078663Z [2022-11-23 01:52:36,057] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8078932Z [2022-11-23 01:52:36,058] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8079123Z  __compiled_fn_113 <eval_with_key>.977 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8079264Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8079415Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8079539Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8079583Z 
2022-11-23T02:04:38.8080003Z [2022-11-23 01:52:36,058] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8080145Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8080283Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8080480Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8080619Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8080750Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8080886Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8080982Z              12 RETURN_VALUE
2022-11-23T02:04:38.8081002Z 
2022-11-23T02:04:38.8081101Z  
2022-11-23T02:04:38.8081542Z [2022-11-23 01:52:36,058] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8081707Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_113)
2022-11-23T02:04:38.8081842Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8081982Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8082104Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8082236Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8082354Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8082469Z              12 RETURN_VALUE
2022-11-23T02:04:38.8082488Z 
2022-11-23T02:04:38.8082585Z  
2022-11-23T02:04:38.8082844Z [2022-11-23 01:52:36,060] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8083007Z  - 
2022-11-23T02:04:38.8083195Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8083302Z             {
2022-11-23T02:04:38.8083483Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8083743Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8083921Z                 'obj_weakref': None
2022-11-23T02:04:38.8084234Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8084337Z             }
2022-11-23T02:04:38.8084436Z             
2022-11-23T02:04:38.8084548Z  - 
2022-11-23T02:04:38.8084706Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8084808Z             {
2022-11-23T02:04:38.8085017Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8085177Z                 'code': None,
2022-11-23T02:04:38.8085470Z                 'obj_weakref': <weakref at 0x7fa53c4ab510; to 'Tensor' at 0x7fa53214c540>
2022-11-23T02:04:38.8085920Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8086030Z             }
2022-11-23T02:04:38.8086108Z             
2022-11-23T02:04:38.8086220Z  - 
2022-11-23T02:04:38.8086398Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8086500Z             {
2022-11-23T02:04:38.8086692Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8086932Z                 'code': ['___check_obj_id(model, 140351387563584)'],
2022-11-23T02:04:38.8087241Z                 'obj_weakref': <weakref at 0x7fa53c396ed0; to 'Sequential' at 0x7fa61a997640>
2022-11-23T02:04:38.8087545Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8087658Z             }
2022-11-23T02:04:38.8087755Z             
2022-11-23T02:04:38.8087863Z  - 
2022-11-23T02:04:38.8088041Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8088140Z             {
2022-11-23T02:04:38.8088409Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8088754Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8088929Z                 'obj_weakref': None
2022-11-23T02:04:38.8089240Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8089347Z             }
2022-11-23T02:04:38.8089449Z             
2022-11-23T02:04:38.8089564Z  - 
2022-11-23T02:04:38.8089775Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8089855Z             {
2022-11-23T02:04:38.8090028Z                 'guard_types': None,
2022-11-23T02:04:38.8090182Z                 'code': None,
2022-11-23T02:04:38.8090436Z                 'obj_weakref': None
2022-11-23T02:04:38.8090610Z                 'guarded_class': None
2022-11-23T02:04:38.8090719Z             }
2022-11-23T02:04:38.8090820Z             
2022-11-23T02:04:38.8090906Z  - 
2022-11-23T02:04:38.8091114Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8091219Z             {
2022-11-23T02:04:38.8091395Z                 'guard_types': None,
2022-11-23T02:04:38.8091558Z                 'code': None,
2022-11-23T02:04:38.8091735Z                 'obj_weakref': None
2022-11-23T02:04:38.8091889Z                 'guarded_class': None
2022-11-23T02:04:38.8091991Z             }
2022-11-23T02:04:38.8092090Z             
2022-11-23T02:04:38.8092451Z [2022-11-23 01:52:36,077] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 112
2022-11-23T02:04:38.8092975Z [2022-11-23 01:52:36,087] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gh/cgh3iyyxa3iigurde7dsrbh6zfffru6hndv4r4lpimbdqdceqb75.py
2022-11-23T02:04:38.8093348Z [2022-11-23 01:52:36,088] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 112
2022-11-23T02:04:38.8093675Z [2022-11-23 01:52:36,167] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8094165Z [2022-11-23 01:52:36,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8094475Z [2022-11-23 01:52:36,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8094785Z [2022-11-23 01:52:36,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8095153Z [2022-11-23 01:52:36,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8095579Z [2022-11-23 01:52:36,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8096451Z [2022-11-23 01:52:36,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8097252Z [2022-11-23 01:52:36,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8097844Z [2022-11-23 01:52:36,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8098348Z [2022-11-23 01:52:36,196] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8098711Z [2022-11-23 01:52:36,197] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8099055Z [2022-11-23 01:52:36,228] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8099318Z [2022-11-23 01:52:36,228] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8099496Z  __compiled_fn_114 <eval_with_key>.988 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8099632Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8099780Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8099932Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8099952Z 
2022-11-23T02:04:38.8100391Z [2022-11-23 01:52:36,229] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8100535Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8100674Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8100809Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8100926Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8101054Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8101192Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8101476Z              12 RETURN_VALUE
2022-11-23T02:04:38.8101496Z 
2022-11-23T02:04:38.8101594Z  
2022-11-23T02:04:38.8102039Z [2022-11-23 01:52:36,229] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8102207Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_114)
2022-11-23T02:04:38.8102321Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8102454Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8102574Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8102711Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8102844Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8102968Z              12 RETURN_VALUE
2022-11-23T02:04:38.8102986Z 
2022-11-23T02:04:38.8103082Z  
2022-11-23T02:04:38.8103321Z [2022-11-23 01:52:36,230] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8103437Z  - 
2022-11-23T02:04:38.8103609Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8103718Z             {
2022-11-23T02:04:38.8103924Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8104187Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8104442Z                 'obj_weakref': None
2022-11-23T02:04:38.8104765Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8104844Z             }
2022-11-23T02:04:38.8104948Z             
2022-11-23T02:04:38.8105060Z  - 
2022-11-23T02:04:38.8105241Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8105343Z             {
2022-11-23T02:04:38.8105550Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8105685Z                 'code': None,
2022-11-23T02:04:38.8105977Z                 'obj_weakref': <weakref at 0x7fa53c477b00; to 'Tensor' at 0x7fa559f19670>
2022-11-23T02:04:38.8106327Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8106437Z             }
2022-11-23T02:04:38.8106538Z             
2022-11-23T02:04:38.8106655Z  - 
2022-11-23T02:04:38.8106831Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8106908Z             {
2022-11-23T02:04:38.8107108Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8107346Z                 'code': ['___check_obj_id(model, 140351387563584)'],
2022-11-23T02:04:38.8107649Z                 'obj_weakref': <weakref at 0x7fa53c396ed0; to 'Sequential' at 0x7fa61a997640>
2022-11-23T02:04:38.8107980Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8108082Z             }
2022-11-23T02:04:38.8108183Z             
2022-11-23T02:04:38.8108294Z  - 
2022-11-23T02:04:38.8108447Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8108553Z             {
2022-11-23T02:04:38.8108749Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8109056Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8109234Z                 'obj_weakref': None
2022-11-23T02:04:38.8109545Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8109642Z             }
2022-11-23T02:04:38.8109719Z             
2022-11-23T02:04:38.8109828Z  - 
2022-11-23T02:04:38.8110041Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8110138Z             {
2022-11-23T02:04:38.8110310Z                 'guard_types': None,
2022-11-23T02:04:38.8110466Z                 'code': None,
2022-11-23T02:04:38.8110615Z                 'obj_weakref': None
2022-11-23T02:04:38.8110792Z                 'guarded_class': None
2022-11-23T02:04:38.8110893Z             }
2022-11-23T02:04:38.8110993Z             
2022-11-23T02:04:38.8111105Z  - 
2022-11-23T02:04:38.8111315Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8111484Z             {
2022-11-23T02:04:38.8111640Z                 'guard_types': None,
2022-11-23T02:04:38.8111798Z                 'code': None,
2022-11-23T02:04:38.8111966Z                 'obj_weakref': None
2022-11-23T02:04:38.8112141Z                 'guarded_class': None
2022-11-23T02:04:38.8112247Z             }
2022-11-23T02:04:38.8112348Z             
2022-11-23T02:04:38.8112706Z [2022-11-23 01:52:36,247] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 113
2022-11-23T02:04:38.8113185Z [2022-11-23 01:52:38,846] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kv/ckvgohpiezmihgdtgqh5usbfoz5bbqqiejhr7by7s3thmxn46vpp.py
2022-11-23T02:04:38.8113551Z [2022-11-23 01:52:38,847] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 113
2022-11-23T02:04:38.8113880Z [2022-11-23 01:52:38,972] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8114305Z [2022-11-23 01:52:38,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8114610Z [2022-11-23 01:52:38,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8115003Z [2022-11-23 01:52:38,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8115376Z [2022-11-23 01:52:38,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8115800Z [2022-11-23 01:52:38,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8116258Z [2022-11-23 01:52:38,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8116680Z [2022-11-23 01:52:38,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8117001Z [2022-11-23 01:52:39,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8117329Z [2022-11-23 01:52:39,000] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8117676Z [2022-11-23 01:52:39,002] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8118024Z [2022-11-23 01:52:39,058] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8118293Z [2022-11-23 01:52:39,058] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8118486Z  __compiled_fn_115 <eval_with_key>.999 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8118621Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8118769Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8118891Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8118941Z 
2022-11-23T02:04:38.8119358Z [2022-11-23 01:52:39,059] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8119506Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8119651Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8119789Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8119933Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8120067Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8120209Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8120304Z              12 RETURN_VALUE
2022-11-23T02:04:38.8120347Z 
2022-11-23T02:04:38.8120423Z  
2022-11-23T02:04:38.8120868Z [2022-11-23 01:52:39,059] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8121032Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_115)
2022-11-23T02:04:38.8121246Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8121385Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8121504Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8121640Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8121753Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8121870Z              12 RETURN_VALUE
2022-11-23T02:04:38.8121890Z 
2022-11-23T02:04:38.8121988Z  
2022-11-23T02:04:38.8122248Z [2022-11-23 01:52:39,060] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8122363Z  - 
2022-11-23T02:04:38.8122540Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8122646Z             {
2022-11-23T02:04:38.8122826Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8123090Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8123266Z                 'obj_weakref': None
2022-11-23T02:04:38.8123581Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8123683Z             }
2022-11-23T02:04:38.8123783Z             
2022-11-23T02:04:38.8123895Z  - 
2022-11-23T02:04:38.8124051Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8124280Z             {
2022-11-23T02:04:38.8124495Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8124651Z                 'code': None,
2022-11-23T02:04:38.8124944Z                 'obj_weakref': <weakref at 0x7fa5504bd490; to 'Tensor' at 0x7fa53210ad40>
2022-11-23T02:04:38.8125296Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8125395Z             }
2022-11-23T02:04:38.8125477Z             
2022-11-23T02:04:38.8125590Z  - 
2022-11-23T02:04:38.8125770Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8125873Z             {
2022-11-23T02:04:38.8126069Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8126318Z                 'code': ['___check_obj_id(model, 140348156273776)'],
2022-11-23T02:04:38.8126804Z                 'obj_weakref': <weakref at 0x7fa53c4476f0; to 'Sequential' at 0x7fa559ffe470>
2022-11-23T02:04:38.8127110Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8127219Z             }
2022-11-23T02:04:38.8127318Z             
2022-11-23T02:04:38.8127432Z  - 
2022-11-23T02:04:38.8127615Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8127716Z             {
2022-11-23T02:04:38.8127916Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8128192Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8128364Z                 'obj_weakref': None
2022-11-23T02:04:38.8128676Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8128776Z             }
2022-11-23T02:04:38.8128885Z             
2022-11-23T02:04:38.8128994Z  - 
2022-11-23T02:04:38.8129198Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8129275Z             {
2022-11-23T02:04:38.8129447Z                 'guard_types': None,
2022-11-23T02:04:38.8129614Z                 'code': None,
2022-11-23T02:04:38.8129787Z                 'obj_weakref': None
2022-11-23T02:04:38.8129962Z                 'guarded_class': None
2022-11-23T02:04:38.8130065Z             }
2022-11-23T02:04:38.8130162Z             
2022-11-23T02:04:38.8130247Z  - 
2022-11-23T02:04:38.8130457Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8130557Z             {
2022-11-23T02:04:38.8130728Z                 'guard_types': None,
2022-11-23T02:04:38.8130885Z                 'code': None,
2022-11-23T02:04:38.8131057Z                 'obj_weakref': None
2022-11-23T02:04:38.8131232Z                 'guarded_class': None
2022-11-23T02:04:38.8131310Z             }
2022-11-23T02:04:38.8131498Z             
2022-11-23T02:04:38.8131863Z [2022-11-23 01:52:39,078] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 114
2022-11-23T02:04:38.8131883Z 
2022-11-23T02:04:38.8132023Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8132132Z import torch
2022-11-23T02:04:38.8132248Z import random
2022-11-23T02:04:38.8132416Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8132569Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8132589Z 
2022-11-23T02:04:38.8132711Z aten = torch.ops.aten
2022-11-23T02:04:38.8132902Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8133046Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8133070Z 
2022-11-23T02:04:38.8133088Z 
2022-11-23T02:04:38.8133219Z async_compile.wait(globals())
2022-11-23T02:04:38.8133330Z del async_compile
2022-11-23T02:04:38.8133349Z 
2022-11-23T02:04:38.8133457Z def call(args):
2022-11-23T02:04:38.8133624Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8133718Z     args.clear()
2022-11-23T02:04:38.8133908Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T02:04:38.8134131Z     assert_size_stride(buf0, (1, 128, 108, 108), (1492992, 11664, 108, 1))
2022-11-23T02:04:38.8134243Z     del arg0_1
2022-11-23T02:04:38.8134344Z     del arg1_1
2022-11-23T02:04:38.8134447Z     del arg7_1
2022-11-23T02:04:38.8134556Z     return (buf0, )
2022-11-23T02:04:38.8134575Z 
2022-11-23T02:04:38.8134593Z 
2022-11-23T02:04:38.8134687Z if __name__ == "__main__":
2022-11-23T02:04:38.8134852Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8135027Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8135333Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8135605Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8135874Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8136610Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8137103Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8137526Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8137957Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8138311Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8138531Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8138551Z 
2022-11-23T02:04:38.8138570Z 
2022-11-23T02:04:38.8138708Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8138817Z import torch
2022-11-23T02:04:38.8138928Z import random
2022-11-23T02:04:38.8139093Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8139252Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8139291Z 
2022-11-23T02:04:38.8139389Z aten = torch.ops.aten
2022-11-23T02:04:38.8139577Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8139718Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8139738Z 
2022-11-23T02:04:38.8139757Z 
2022-11-23T02:04:38.8139946Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8140228Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8140397Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8140541Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8140616Z {
2022-11-23T02:04:38.8140760Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8140854Z     {
2022-11-23T02:04:38.8140971Z         #pragma omp for 
2022-11-23T02:04:38.8141095Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T02:04:38.8141357Z         {
2022-11-23T02:04:38.8141480Z             #pragma GCC ivdep
2022-11-23T02:04:38.8141583Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:38.8141681Z             {
2022-11-23T02:04:38.8141802Z                 #pragma GCC ivdep
2022-11-23T02:04:38.8141938Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T02:04:38.8142037Z                 {
2022-11-23T02:04:38.8142135Z                     {
2022-11-23T02:04:38.8142242Z                         {
2022-11-23T02:04:38.8142384Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T02:04:38.8142532Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T02:04:38.8142635Z                         }
2022-11-23T02:04:38.8142734Z                     }
2022-11-23T02:04:38.8142835Z                 }
2022-11-23T02:04:38.8142933Z             }
2022-11-23T02:04:38.8143025Z         }
2022-11-23T02:04:38.8143100Z     }
2022-11-23T02:04:38.8143191Z }
2022-11-23T02:04:38.8143318Z ''')
2022-11-23T02:04:38.8143338Z 
2022-11-23T02:04:38.8143357Z 
2022-11-23T02:04:38.8143488Z async_compile.wait(globals())
2022-11-23T02:04:38.8143596Z del async_compile
2022-11-23T02:04:38.8143615Z 
2022-11-23T02:04:38.8143721Z def call(args):
2022-11-23T02:04:38.8144037Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8144137Z     args.clear()
2022-11-23T02:04:38.8144433Z     buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8144620Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8144789Z     del arg0_1
2022-11-23T02:04:38.8144977Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T02:04:38.8145139Z     assert_size_stride(buf1, (1, 128, 108, 108), (1492992, 1, 13824, 128))
2022-11-23T02:04:38.8145241Z     del arg1_1
2022-11-23T02:04:38.8145323Z     del arg7_1
2022-11-23T02:04:38.8145434Z     return (buf1, )
2022-11-23T02:04:38.8145458Z 
2022-11-23T02:04:38.8145477Z 
2022-11-23T02:04:38.8145591Z if __name__ == "__main__":
2022-11-23T02:04:38.8145755Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8145934Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8146242Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8146520Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8146791Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8147032Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8147300Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8147559Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8147813Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8148137Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8148356Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8148380Z 
2022-11-23T02:04:38.8148399Z 
2022-11-23T02:04:38.8148543Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8148659Z import torch
2022-11-23T02:04:38.8148775Z import random
2022-11-23T02:04:38.8148922Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8149094Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8149114Z 
2022-11-23T02:04:38.8149232Z aten = torch.ops.aten
2022-11-23T02:04:38.8149422Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8149566Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8149585Z 
2022-11-23T02:04:38.8149604Z 
2022-11-23T02:04:38.8149737Z async_compile.wait(globals())
2022-11-23T02:04:38.8149913Z del async_compile
2022-11-23T02:04:38.8149932Z 
2022-11-23T02:04:38.8150044Z def call(args):
2022-11-23T02:04:38.8150192Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8150308Z     args.clear()
2022-11-23T02:04:38.8150513Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T02:04:38.8150686Z     assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T02:04:38.8150798Z     del arg0_1
2022-11-23T02:04:38.8150903Z     del arg1_1
2022-11-23T02:04:38.8151011Z     del arg7_1
2022-11-23T02:04:38.8151101Z     return (buf0, )
2022-11-23T02:04:38.8151120Z 
2022-11-23T02:04:38.8151138Z 
2022-11-23T02:04:38.8151260Z if __name__ == "__main__":
2022-11-23T02:04:38.8151424Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8151603Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8151918Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8152194Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8152458Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8152774Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8153019Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8153276Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8153532Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8153853Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8154073Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8154092Z 
2022-11-23T02:04:38.8154110Z 
2022-11-23T02:04:38.8154261Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8154371Z import torch
2022-11-23T02:04:38.8154482Z import random
2022-11-23T02:04:38.8154625Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8154800Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8154824Z 
2022-11-23T02:04:38.8154946Z aten = torch.ops.aten
2022-11-23T02:04:38.8155133Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8155269Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8155288Z 
2022-11-23T02:04:38.8155307Z 
2022-11-23T02:04:38.8155499Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8155780Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8155951Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8156075Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8156174Z {
2022-11-23T02:04:38.8156320Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8156431Z     {
2022-11-23T02:04:38.8156569Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.8156691Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T02:04:38.8156790Z         {
2022-11-23T02:04:38.8156907Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T02:04:38.8157005Z             {
2022-11-23T02:04:38.8157105Z                 {
2022-11-23T02:04:38.8157208Z                     {
2022-11-23T02:04:38.8157360Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T02:04:38.8157509Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T02:04:38.8157608Z                     }
2022-11-23T02:04:38.8157687Z                 }
2022-11-23T02:04:38.8157785Z             }
2022-11-23T02:04:38.8157885Z         }
2022-11-23T02:04:38.8157989Z     }
2022-11-23T02:04:38.8158085Z }
2022-11-23T02:04:38.8158209Z ''')
2022-11-23T02:04:38.8158229Z 
2022-11-23T02:04:38.8158247Z 
2022-11-23T02:04:38.8158382Z async_compile.wait(globals())
2022-11-23T02:04:38.8158540Z del async_compile
2022-11-23T02:04:38.8158560Z 
2022-11-23T02:04:38.8158671Z def call(args):
2022-11-23T02:04:38.8158844Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8158957Z     args.clear()
2022-11-23T02:04:38.8159292Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8159486Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8159596Z     del arg7_1
2022-11-23T02:04:38.8159774Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T02:04:38.8159950Z     assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T02:04:38.8160058Z     del arg0_1
2022-11-23T02:04:38.8160170Z     del arg1_1
2022-11-23T02:04:38.8160282Z     return (buf1, )
2022-11-23T02:04:38.8160301Z 
2022-11-23T02:04:38.8160319Z 
2022-11-23T02:04:38.8160443Z if __name__ == "__main__":
2022-11-23T02:04:38.8160611Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8160789Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8161132Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8161417Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8161674Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8161933Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8162197Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8162455Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8162709Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8163032Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8163236Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8163276Z 
2022-11-23T02:04:38.8163762Z [2022-11-23 01:52:39,087] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ry/cryxfqnfrvvljbyhb57zmd6c2mrrbdcvtbgtjp553v6jzx5sciq3.py
2022-11-23T02:04:38.8164134Z [2022-11-23 01:52:39,088] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 114
2022-11-23T02:04:38.8164461Z [2022-11-23 01:52:39,478] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8164889Z [2022-11-23 01:52:39,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8165196Z [2022-11-23 01:52:39,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8165535Z [2022-11-23 01:52:39,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8165911Z [2022-11-23 01:52:39,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8166344Z [2022-11-23 01:52:39,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8166803Z [2022-11-23 01:52:39,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8167225Z [2022-11-23 01:52:39,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8167539Z [2022-11-23 01:52:39,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8167902Z [2022-11-23 01:52:39,507] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8168321Z [2022-11-23 01:52:39,508] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8168670Z [2022-11-23 01:52:39,564] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8168940Z [2022-11-23 01:52:39,565] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8169134Z  __compiled_fn_116 <eval_with_key>.1010 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8169270Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8169417Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8169541Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8169563Z 
2022-11-23T02:04:38.8170008Z [2022-11-23 01:52:39,566] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8170147Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8170288Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8170420Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8170560Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8170691Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8170882Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8170984Z              12 RETURN_VALUE
2022-11-23T02:04:38.8171003Z 
2022-11-23T02:04:38.8171101Z  
2022-11-23T02:04:38.8171539Z [2022-11-23 01:52:39,566] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8171697Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_116)
2022-11-23T02:04:38.8171829Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8171965Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8172085Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8172217Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8172336Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8172447Z              12 RETURN_VALUE
2022-11-23T02:04:38.8172467Z 
2022-11-23T02:04:38.8172566Z  
2022-11-23T02:04:38.8172827Z [2022-11-23 01:52:39,567] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8172938Z  - 
2022-11-23T02:04:38.8173106Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8173203Z             {
2022-11-23T02:04:38.8173382Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8173639Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8173808Z                 'obj_weakref': None
2022-11-23T02:04:38.8174121Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8174219Z             }
2022-11-23T02:04:38.8174315Z             
2022-11-23T02:04:38.8174423Z  - 
2022-11-23T02:04:38.8174583Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8174687Z             {
2022-11-23T02:04:38.8174890Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8175043Z                 'code': None,
2022-11-23T02:04:38.8175334Z                 'obj_weakref': <weakref at 0x7fa53c48ee30; to 'Tensor' at 0x7fa5504bf240>
2022-11-23T02:04:38.8175682Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8175779Z             }
2022-11-23T02:04:38.8175856Z             
2022-11-23T02:04:38.8175968Z  - 
2022-11-23T02:04:38.8176804Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8176961Z             {
2022-11-23T02:04:38.8177290Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8177687Z                 'code': ['___check_obj_id(model, 140348156273776)'],
2022-11-23T02:04:38.8178205Z                 'obj_weakref': <weakref at 0x7fa53c4476f0; to 'Sequential' at 0x7fa559ffe470>
2022-11-23T02:04:38.8178593Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8178869Z             }
2022-11-23T02:04:38.8178964Z             
2022-11-23T02:04:38.8179077Z  - 
2022-11-23T02:04:38.8179253Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8179349Z             {
2022-11-23T02:04:38.8179548Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8179825Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8179993Z                 'obj_weakref': None
2022-11-23T02:04:38.8180291Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8180393Z             }
2022-11-23T02:04:38.8180489Z             
2022-11-23T02:04:38.8180595Z  - 
2022-11-23T02:04:38.8180794Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8180873Z             {
2022-11-23T02:04:38.8181041Z                 'guard_types': None,
2022-11-23T02:04:38.8181198Z                 'code': None,
2022-11-23T02:04:38.8181364Z                 'obj_weakref': None
2022-11-23T02:04:38.8181536Z                 'guarded_class': None
2022-11-23T02:04:38.8181631Z             }
2022-11-23T02:04:38.8181726Z             
2022-11-23T02:04:38.8181818Z  - 
2022-11-23T02:04:38.8182098Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8182202Z             {
2022-11-23T02:04:38.8182378Z                 'guard_types': None,
2022-11-23T02:04:38.8182529Z                 'code': None,
2022-11-23T02:04:38.8182698Z                 'obj_weakref': None
2022-11-23T02:04:38.8182848Z                 'guarded_class': None
2022-11-23T02:04:38.8182947Z             }
2022-11-23T02:04:38.8183044Z             
2022-11-23T02:04:38.8183400Z [2022-11-23 01:52:39,585] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 115
2022-11-23T02:04:38.8183886Z [2022-11-23 01:52:42,202] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nx/cnxoh4ni7vubbyssla22olgi5rxzz74olstbh3mgndu556apkfjv.py
2022-11-23T02:04:38.8184253Z [2022-11-23 01:52:42,203] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 115
2022-11-23T02:04:38.8184583Z [2022-11-23 01:52:42,507] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8185011Z [2022-11-23 01:52:42,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8185307Z [2022-11-23 01:52:42,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8185614Z [2022-11-23 01:52:42,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8186037Z [2022-11-23 01:52:42,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8186456Z [2022-11-23 01:52:42,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8186912Z [2022-11-23 01:52:42,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8187332Z [2022-11-23 01:52:42,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8187672Z [2022-11-23 01:52:42,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8187991Z [2022-11-23 01:52:42,536] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8188337Z [2022-11-23 01:52:42,537] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8188676Z [2022-11-23 01:52:42,573] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8189008Z [2022-11-23 01:52:42,574] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8189179Z  __compiled_fn_117 <eval_with_key>.1021 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8189312Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8189460Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8189603Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8189630Z 
2022-11-23T02:04:38.8190070Z [2022-11-23 01:52:42,574] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8190211Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8190345Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8190474Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8190590Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8190718Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8190848Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8190970Z              12 RETURN_VALUE
2022-11-23T02:04:38.8190990Z 
2022-11-23T02:04:38.8191084Z  
2022-11-23T02:04:38.8191624Z [2022-11-23 01:52:42,575] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8191787Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_117)
2022-11-23T02:04:38.8191899Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8192037Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8192152Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8192284Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8192418Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8192532Z              12 RETURN_VALUE
2022-11-23T02:04:38.8192552Z 
2022-11-23T02:04:38.8192645Z  
2022-11-23T02:04:38.8192888Z [2022-11-23 01:52:42,576] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8193003Z  - 
2022-11-23T02:04:38.8193169Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8193270Z             {
2022-11-23T02:04:38.8193468Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8193731Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8193904Z                 'obj_weakref': None
2022-11-23T02:04:38.8194208Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8194289Z             }
2022-11-23T02:04:38.8194392Z             
2022-11-23T02:04:38.8194497Z  - 
2022-11-23T02:04:38.8194676Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8194776Z             {
2022-11-23T02:04:38.8194975Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8195110Z                 'code': None,
2022-11-23T02:04:38.8195397Z                 'obj_weakref': <weakref at 0x7fa55016d260; to 'Tensor' at 0x7fa53214f290>
2022-11-23T02:04:38.8195740Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8195843Z             }
2022-11-23T02:04:38.8195939Z             
2022-11-23T02:04:38.8196046Z  - 
2022-11-23T02:04:38.8196217Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8196299Z             {
2022-11-23T02:04:38.8196491Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8196725Z                 'code': ['___check_obj_id(model, 140347656950816)'],
2022-11-23T02:04:38.8197027Z                 'obj_weakref': <weakref at 0x7fa5503debb0; to 'Sequential' at 0x7fa53c3cd420>
2022-11-23T02:04:38.8197347Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8197446Z             }
2022-11-23T02:04:38.8197541Z             
2022-11-23T02:04:38.8197647Z  - 
2022-11-23T02:04:38.8197800Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8197897Z             {
2022-11-23T02:04:38.8198089Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8198457Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8198628Z                 'obj_weakref': None
2022-11-23T02:04:38.8198940Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8199040Z             }
2022-11-23T02:04:38.8199117Z             
2022-11-23T02:04:38.8199222Z  - 
2022-11-23T02:04:38.8199425Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8199525Z             {
2022-11-23T02:04:38.8199696Z                 'guard_types': None,
2022-11-23T02:04:38.8199849Z                 'code': None,
2022-11-23T02:04:38.8199996Z                 'obj_weakref': None
2022-11-23T02:04:38.8200170Z                 'guarded_class': None
2022-11-23T02:04:38.8200267Z             }
2022-11-23T02:04:38.8200365Z             
2022-11-23T02:04:38.8200471Z  - 
2022-11-23T02:04:38.8200672Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8200776Z             {
2022-11-23T02:04:38.8200924Z                 'guard_types': None,
2022-11-23T02:04:38.8201080Z                 'code': None,
2022-11-23T02:04:38.8201250Z                 'obj_weakref': None
2022-11-23T02:04:38.8201484Z                 'guarded_class': None
2022-11-23T02:04:38.8201585Z             }
2022-11-23T02:04:38.8201682Z             
2022-11-23T02:04:38.8202050Z [2022-11-23 01:52:42,593] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 116
2022-11-23T02:04:38.8202518Z [2022-11-23 01:52:42,603] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/56/c56bzkbo6uvsrmfq7sjekl5f3rm4hxpjwquogqr6h3sm2w7deh66.py
2022-11-23T02:04:38.8202887Z [2022-11-23 01:52:42,603] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 116
2022-11-23T02:04:38.8203209Z [2022-11-23 01:52:42,687] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8203640Z [2022-11-23 01:52:42,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8203938Z [2022-11-23 01:52:42,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8204280Z [2022-11-23 01:52:42,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8204647Z [2022-11-23 01:52:42,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8205070Z [2022-11-23 01:52:42,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8205530Z [2022-11-23 01:52:42,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8205951Z [2022-11-23 01:52:42,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8206274Z [2022-11-23 01:52:42,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8206599Z [2022-11-23 01:52:42,716] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8206942Z [2022-11-23 01:52:42,718] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8207288Z [2022-11-23 01:52:42,751] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8207549Z [2022-11-23 01:52:42,751] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8207739Z  __compiled_fn_118 <eval_with_key>.1032 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8207871Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8208015Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8208229Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8208273Z 
2022-11-23T02:04:38.8208696Z [2022-11-23 01:52:42,752] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8208840Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8208972Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8209099Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8209235Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8209360Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8209487Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8209583Z              12 RETURN_VALUE
2022-11-23T02:04:38.8209621Z 
2022-11-23T02:04:38.8209695Z  
2022-11-23T02:04:38.8210121Z [2022-11-23 01:52:42,752] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8210283Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_118)
2022-11-23T02:04:38.8210411Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8210541Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8210655Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8210835Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8210954Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8211065Z              12 RETURN_VALUE
2022-11-23T02:04:38.8211085Z 
2022-11-23T02:04:38.8211177Z  
2022-11-23T02:04:38.8211434Z [2022-11-23 01:52:42,753] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8211542Z  - 
2022-11-23T02:04:38.8211709Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8211808Z             {
2022-11-23T02:04:38.8211992Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8212250Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8212421Z                 'obj_weakref': None
2022-11-23T02:04:38.8212733Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8212833Z             }
2022-11-23T02:04:38.8212929Z             
2022-11-23T02:04:38.8213038Z  - 
2022-11-23T02:04:38.8213201Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8213301Z             {
2022-11-23T02:04:38.8213505Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8213660Z                 'code': None,
2022-11-23T02:04:38.8213949Z                 'obj_weakref': <weakref at 0x7fa5503dc040; to 'Tensor' at 0x7fa53c3aad90>
2022-11-23T02:04:38.8214296Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8214394Z             }
2022-11-23T02:04:38.8214471Z             
2022-11-23T02:04:38.8214579Z  - 
2022-11-23T02:04:38.8214749Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8214846Z             {
2022-11-23T02:04:38.8215042Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8215280Z                 'code': ['___check_obj_id(model, 140347656950816)'],
2022-11-23T02:04:38.8215582Z                 'obj_weakref': <weakref at 0x7fa5503debb0; to 'Sequential' at 0x7fa53c3cd420>
2022-11-23T02:04:38.8215894Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8216004Z             }
2022-11-23T02:04:38.8216710Z             
2022-11-23T02:04:38.8216896Z  - 
2022-11-23T02:04:38.8217178Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8217336Z             {
2022-11-23T02:04:38.8217658Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8218147Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8218381Z                 'obj_weakref': None
2022-11-23T02:04:38.8218688Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8218965Z             }
2022-11-23T02:04:38.8219061Z             
2022-11-23T02:04:38.8219172Z  - 
2022-11-23T02:04:38.8219376Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8219453Z             {
2022-11-23T02:04:38.8219629Z                 'guard_types': None,
2022-11-23T02:04:38.8219786Z                 'code': None,
2022-11-23T02:04:38.8219956Z                 'obj_weakref': None
2022-11-23T02:04:38.8220125Z                 'guarded_class': None
2022-11-23T02:04:38.8220222Z             }
2022-11-23T02:04:38.8220317Z             
2022-11-23T02:04:38.8220404Z  - 
2022-11-23T02:04:38.8220601Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8220697Z             {
2022-11-23T02:04:38.8220866Z                 'guard_types': None,
2022-11-23T02:04:38.8221020Z                 'code': None,
2022-11-23T02:04:38.8221189Z                 'obj_weakref': None
2022-11-23T02:04:38.8221362Z                 'guarded_class': None
2022-11-23T02:04:38.8221444Z             }
2022-11-23T02:04:38.8221539Z             
2022-11-23T02:04:38.8221890Z [2022-11-23 01:52:42,771] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 117
2022-11-23T02:04:38.8222451Z [2022-11-23 01:52:42,792] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3o/c3o322k4q73mxgpgmyzlxmkjrkxjmegmwry2miq6pn6xjr3bg2nh.py
2022-11-23T02:04:38.8222823Z [2022-11-23 01:52:42,792] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 117
2022-11-23T02:04:38.8223147Z [2022-11-23 01:52:42,920] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8223578Z [2022-11-23 01:52:42,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8223879Z [2022-11-23 01:52:42,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8224190Z [2022-11-23 01:52:42,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8224557Z [2022-11-23 01:52:42,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8225063Z [2022-11-23 01:52:42,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8225512Z [2022-11-23 01:52:42,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8225931Z [2022-11-23 01:52:42,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8226265Z [2022-11-23 01:52:42,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8226586Z [2022-11-23 01:52:42,948] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8226934Z [2022-11-23 01:52:42,950] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8227274Z [2022-11-23 01:52:43,006] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8227540Z [2022-11-23 01:52:43,006] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8227709Z  __compiled_fn_119 <eval_with_key>.1043 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8227838Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8227987Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8228135Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8228158Z 
2022-11-23T02:04:38.8228596Z [2022-11-23 01:52:43,007] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8228739Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8228939Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8229068Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8229183Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8229309Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8229442Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8229557Z              12 RETURN_VALUE
2022-11-23T02:04:38.8229577Z 
2022-11-23T02:04:38.8229670Z  
2022-11-23T02:04:38.8230101Z [2022-11-23 01:52:43,007] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8230259Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_119)
2022-11-23T02:04:38.8230372Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8230505Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8230614Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8230741Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8230877Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8230987Z              12 RETURN_VALUE
2022-11-23T02:04:38.8231005Z 
2022-11-23T02:04:38.8231097Z  
2022-11-23T02:04:38.8231404Z [2022-11-23 01:52:43,008] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8231500Z  - 
2022-11-23T02:04:38.8231669Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8231765Z             {
2022-11-23T02:04:38.8231967Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8232223Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8232394Z                 'obj_weakref': None
2022-11-23T02:04:38.8232700Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8232778Z             }
2022-11-23T02:04:38.8232874Z             
2022-11-23T02:04:38.8232978Z  - 
2022-11-23T02:04:38.8233153Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8233254Z             {
2022-11-23T02:04:38.8233448Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8233583Z                 'code': None,
2022-11-23T02:04:38.8233872Z                 'obj_weakref': <weakref at 0x7fa53c527f60; to 'Tensor' at 0x7fa5501116c0>
2022-11-23T02:04:38.8234214Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8234313Z             }
2022-11-23T02:04:38.8234409Z             
2022-11-23T02:04:38.8234518Z  - 
2022-11-23T02:04:38.8234694Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8234790Z             {
2022-11-23T02:04:38.8234960Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8235195Z                 'code': ['___check_obj_id(model, 140347989949600)'],
2022-11-23T02:04:38.8235495Z                 'obj_weakref': <weakref at 0x7fa53c48d670; to 'Sequential' at 0x7fa55015fca0>
2022-11-23T02:04:38.8235813Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8235913Z             }
2022-11-23T02:04:38.8236009Z             
2022-11-23T02:04:38.8236115Z  - 
2022-11-23T02:04:38.8236266Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8236358Z             {
2022-11-23T02:04:38.8236547Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8236846Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8237016Z                 'obj_weakref': None
2022-11-23T02:04:38.8237320Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8237421Z             }
2022-11-23T02:04:38.8237499Z             
2022-11-23T02:04:38.8237604Z  - 
2022-11-23T02:04:38.8237802Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8237898Z             {
2022-11-23T02:04:38.8238067Z                 'guard_types': None,
2022-11-23T02:04:38.8238288Z                 'code': None,
2022-11-23T02:04:38.8238460Z                 'obj_weakref': None
2022-11-23T02:04:38.8238614Z                 'guarded_class': None
2022-11-23T02:04:38.8238709Z             }
2022-11-23T02:04:38.8238807Z             
2022-11-23T02:04:38.8238909Z  - 
2022-11-23T02:04:38.8239112Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8239209Z             {
2022-11-23T02:04:38.8239359Z                 'guard_types': None,
2022-11-23T02:04:38.8239521Z                 'code': None,
2022-11-23T02:04:38.8239686Z                 'obj_weakref': None
2022-11-23T02:04:38.8239856Z                 'guarded_class': None
2022-11-23T02:04:38.8239951Z             }
2022-11-23T02:04:38.8240046Z             
2022-11-23T02:04:38.8240399Z [2022-11-23 01:52:43,025] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 118
2022-11-23T02:04:38.8240421Z 
2022-11-23T02:04:38.8240560Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8240646Z import torch
2022-11-23T02:04:38.8240757Z import random
2022-11-23T02:04:38.8240919Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8241091Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8241111Z 
2022-11-23T02:04:38.8241227Z aten = torch.ops.aten
2022-11-23T02:04:38.8241470Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8241615Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8241634Z 
2022-11-23T02:04:38.8241653Z 
2022-11-23T02:04:38.8241764Z async_compile.wait(globals())
2022-11-23T02:04:38.8241872Z del async_compile
2022-11-23T02:04:38.8241891Z 
2022-11-23T02:04:38.8241998Z def call(args):
2022-11-23T02:04:38.8242175Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8242282Z     args.clear()
2022-11-23T02:04:38.8242484Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T02:04:38.8242653Z     assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T02:04:38.8242760Z     del arg0_1
2022-11-23T02:04:38.8242844Z     del arg1_1
2022-11-23T02:04:38.8242945Z     del arg7_1
2022-11-23T02:04:38.8243051Z     return (buf0, )
2022-11-23T02:04:38.8243070Z 
2022-11-23T02:04:38.8243088Z 
2022-11-23T02:04:38.8243206Z if __name__ == "__main__":
2022-11-23T02:04:38.8243372Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8243544Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8243853Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8244103Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8244369Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8244627Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8244885Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8245145Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8245395Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8245717Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8245935Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8245954Z 
2022-11-23T02:04:38.8245973Z 
2022-11-23T02:04:38.8246110Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8246196Z import torch
2022-11-23T02:04:38.8246303Z import random
2022-11-23T02:04:38.8246465Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8246636Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8246655Z 
2022-11-23T02:04:38.8246773Z aten = torch.ops.aten
2022-11-23T02:04:38.8246957Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8247164Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8247184Z 
2022-11-23T02:04:38.8247202Z 
2022-11-23T02:04:38.8247395Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8247685Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8247855Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8247997Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8248099Z {
2022-11-23T02:04:38.8248235Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8248332Z     {
2022-11-23T02:04:38.8248459Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.8248561Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:38.8248655Z         {
2022-11-23T02:04:38.8248785Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T02:04:38.8248881Z             {
2022-11-23T02:04:38.8248979Z                 {
2022-11-23T02:04:38.8249080Z                     {
2022-11-23T02:04:38.8249238Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T02:04:38.8249363Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T02:04:38.8249463Z                     }
2022-11-23T02:04:38.8249560Z                 }
2022-11-23T02:04:38.8249708Z             }
2022-11-23T02:04:38.8249809Z         }
2022-11-23T02:04:38.8249903Z     }
2022-11-23T02:04:38.8249975Z }
2022-11-23T02:04:38.8250114Z ''')
2022-11-23T02:04:38.8250135Z 
2022-11-23T02:04:38.8250150Z 
2022-11-23T02:04:38.8250270Z async_compile.wait(globals())
2022-11-23T02:04:38.8250382Z del async_compile
2022-11-23T02:04:38.8250401Z 
2022-11-23T02:04:38.8250506Z def call(args):
2022-11-23T02:04:38.8250678Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8250787Z     args.clear()
2022-11-23T02:04:38.8251116Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8251293Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8251397Z     del arg7_1
2022-11-23T02:04:38.8251595Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T02:04:38.8251768Z     assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T02:04:38.8251871Z     del arg0_1
2022-11-23T02:04:38.8251971Z     del arg1_1
2022-11-23T02:04:38.8252080Z     return (buf1, )
2022-11-23T02:04:38.8252100Z 
2022-11-23T02:04:38.8252119Z 
2022-11-23T02:04:38.8252235Z if __name__ == "__main__":
2022-11-23T02:04:38.8252379Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8252555Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8252859Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8253128Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8253398Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8253658Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8253930Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8254189Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8254418Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8254737Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8254959Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8254978Z 
2022-11-23T02:04:38.8254996Z 
2022-11-23T02:04:38.8255134Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8255241Z import torch
2022-11-23T02:04:38.8255347Z import random
2022-11-23T02:04:38.8255584Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8255758Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8255777Z 
2022-11-23T02:04:38.8255876Z aten = torch.ops.aten
2022-11-23T02:04:38.8256405Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8256652Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8256682Z 
2022-11-23T02:04:38.8256705Z 
2022-11-23T02:04:38.8256918Z async_compile.wait(globals())
2022-11-23T02:04:38.8257099Z del async_compile
2022-11-23T02:04:38.8257129Z 
2022-11-23T02:04:38.8257296Z def call(args):
2022-11-23T02:04:38.8257571Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8257750Z     args.clear()
2022-11-23T02:04:38.8258024Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T02:04:38.8258205Z     assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T02:04:38.8258317Z     del arg0_1
2022-11-23T02:04:38.8258418Z     del arg1_1
2022-11-23T02:04:38.8258518Z     del arg7_1
2022-11-23T02:04:38.8258628Z     return (buf0, )
2022-11-23T02:04:38.8258647Z 
2022-11-23T02:04:38.8258666Z 
2022-11-23T02:04:38.8258780Z if __name__ == "__main__":
2022-11-23T02:04:38.8259116Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8259307Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8259630Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8259898Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8260158Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8260412Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8260669Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8260927Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8261159Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8261478Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8261694Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8261714Z 
2022-11-23T02:04:38.8261732Z 
2022-11-23T02:04:38.8261870Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8261976Z import torch
2022-11-23T02:04:38.8262081Z import random
2022-11-23T02:04:38.8262247Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8262415Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8262434Z 
2022-11-23T02:04:38.8262550Z aten = torch.ops.aten
2022-11-23T02:04:38.8262718Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8262850Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8262872Z 
2022-11-23T02:04:38.8262891Z 
2022-11-23T02:04:38.8263083Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8263361Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8263532Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8263676Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8263771Z {
2022-11-23T02:04:38.8263894Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8263991Z     {
2022-11-23T02:04:38.8264123Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.8264243Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T02:04:38.8264338Z         {
2022-11-23T02:04:38.8264469Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T02:04:38.8264566Z             {
2022-11-23T02:04:38.8264647Z                 {
2022-11-23T02:04:38.8264747Z                     {
2022-11-23T02:04:38.8264896Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T02:04:38.8265132Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T02:04:38.8265233Z                     }
2022-11-23T02:04:38.8265337Z                 }
2022-11-23T02:04:38.8265433Z             }
2022-11-23T02:04:38.8265509Z         }
2022-11-23T02:04:38.8265605Z     }
2022-11-23T02:04:38.8265697Z }
2022-11-23T02:04:38.8265820Z ''')
2022-11-23T02:04:38.8265841Z 
2022-11-23T02:04:38.8265859Z 
2022-11-23T02:04:38.8265992Z async_compile.wait(globals())
2022-11-23T02:04:38.8266100Z del async_compile
2022-11-23T02:04:38.8266119Z 
2022-11-23T02:04:38.8266225Z def call(args):
2022-11-23T02:04:38.8266375Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8266485Z     args.clear()
2022-11-23T02:04:38.8266810Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8267002Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8267109Z     del arg7_1
2022-11-23T02:04:38.8267305Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T02:04:38.8267471Z     assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T02:04:38.8267626Z     del arg0_1
2022-11-23T02:04:38.8267716Z     del arg1_1
2022-11-23T02:04:38.8267823Z     return (buf1, )
2022-11-23T02:04:38.8267844Z 
2022-11-23T02:04:38.8267862Z 
2022-11-23T02:04:38.8267975Z if __name__ == "__main__":
2022-11-23T02:04:38.8268138Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8268311Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8268610Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8268872Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8269129Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8269374Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8269627Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8269887Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8270140Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8270450Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8270670Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8270690Z 
2022-11-23T02:04:38.8271193Z [2022-11-23 01:52:43,035] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mo/cmosqlnk7cqasnwwejgosx6scyzawgxxb2pev5kvplvmeihyx457.py
2022-11-23T02:04:38.8271556Z [2022-11-23 01:52:43,036] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 118
2022-11-23T02:04:38.8271883Z [2022-11-23 01:52:43,382] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8272289Z [2022-11-23 01:52:43,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8272589Z [2022-11-23 01:52:43,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8272919Z [2022-11-23 01:52:43,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8273285Z [2022-11-23 01:52:43,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8273706Z [2022-11-23 01:52:43,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8274151Z [2022-11-23 01:52:43,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8274642Z [2022-11-23 01:52:43,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8274979Z [2022-11-23 01:52:43,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8275301Z [2022-11-23 01:52:43,411] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8275625Z [2022-11-23 01:52:43,412] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8275965Z [2022-11-23 01:52:43,469] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8276223Z [2022-11-23 01:52:43,469] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8276414Z  __compiled_fn_120 <eval_with_key>.1054 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8276551Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8276696Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8276840Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8276860Z 
2022-11-23T02:04:38.8277375Z [2022-11-23 01:52:43,470] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8277522Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8277638Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8277765Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8277899Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8278024Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8278154Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8278266Z              12 RETURN_VALUE
2022-11-23T02:04:38.8278287Z 
2022-11-23T02:04:38.8278380Z  
2022-11-23T02:04:38.8278798Z [2022-11-23 01:52:43,470] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8278957Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_120)
2022-11-23T02:04:38.8279094Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8279232Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8279348Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8279476Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8279608Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8279721Z              12 RETURN_VALUE
2022-11-23T02:04:38.8279740Z 
2022-11-23T02:04:38.8279815Z  
2022-11-23T02:04:38.8280075Z [2022-11-23 01:52:43,471] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8280184Z  - 
2022-11-23T02:04:38.8280357Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8280458Z             {
2022-11-23T02:04:38.8280656Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8280924Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8281076Z                 'obj_weakref': None
2022-11-23T02:04:38.8281387Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8281492Z             }
2022-11-23T02:04:38.8281594Z             
2022-11-23T02:04:38.8281702Z  - 
2022-11-23T02:04:38.8281879Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8281979Z             {
2022-11-23T02:04:38.8282162Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8282317Z                 'code': None,
2022-11-23T02:04:38.8282610Z                 'obj_weakref': <weakref at 0x7fa53c395c10; to 'Tensor' at 0x7fa5504bc130>
2022-11-23T02:04:38.8282963Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8283061Z             }
2022-11-23T02:04:38.8283251Z             
2022-11-23T02:04:38.8283361Z  - 
2022-11-23T02:04:38.8283513Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8283611Z             {
2022-11-23T02:04:38.8283800Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8284037Z                 'code': ['___check_obj_id(model, 140347989949600)'],
2022-11-23T02:04:38.8284341Z                 'obj_weakref': <weakref at 0x7fa53c48d670; to 'Sequential' at 0x7fa55015fca0>
2022-11-23T02:04:38.8284669Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8284765Z             }
2022-11-23T02:04:38.8284841Z             
2022-11-23T02:04:38.8284948Z  - 
2022-11-23T02:04:38.8285121Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8285219Z             {
2022-11-23T02:04:38.8285408Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8285703Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8285954Z                 'obj_weakref': None
2022-11-23T02:04:38.8286238Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8286338Z             }
2022-11-23T02:04:38.8286436Z             
2022-11-23T02:04:38.8286604Z  - 
2022-11-23T02:04:38.8286816Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8286912Z             {
2022-11-23T02:04:38.8287087Z                 'guard_types': None,
2022-11-23T02:04:38.8287224Z                 'code': None,
2022-11-23T02:04:38.8287392Z                 'obj_weakref': None
2022-11-23T02:04:38.8287563Z                 'guarded_class': None
2022-11-23T02:04:38.8287658Z             }
2022-11-23T02:04:38.8287752Z             
2022-11-23T02:04:38.8287858Z  - 
2022-11-23T02:04:38.8288036Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8288135Z             {
2022-11-23T02:04:38.8288305Z                 'guard_types': None,
2022-11-23T02:04:38.8288462Z                 'code': None,
2022-11-23T02:04:38.8288636Z                 'obj_weakref': None
2022-11-23T02:04:38.8288807Z                 'guarded_class': None
2022-11-23T02:04:38.8288903Z             }
2022-11-23T02:04:38.8288980Z             
2022-11-23T02:04:38.8289338Z [2022-11-23 01:52:43,489] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 119
2022-11-23T02:04:38.8289824Z [2022-11-23 01:52:43,509] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h6/ch6f2afdk6bhhb2epsz7khzm5noxws2ijsuxnstonx452dxtfyot.py
2022-11-23T02:04:38.8290182Z [2022-11-23 01:52:43,509] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 119
2022-11-23T02:04:38.8290501Z [2022-11-23 01:52:43,895] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8290925Z [2022-11-23 01:52:43,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8291226Z [2022-11-23 01:52:43,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8291552Z [2022-11-23 01:52:43,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8291914Z [2022-11-23 01:52:43,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8292333Z [2022-11-23 01:52:43,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8292768Z [2022-11-23 01:52:43,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8293187Z [2022-11-23 01:52:43,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8293522Z [2022-11-23 01:52:43,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8293981Z [2022-11-23 01:52:43,923] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8294334Z [2022-11-23 01:52:43,924] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8294677Z [2022-11-23 01:52:43,969] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8294940Z [2022-11-23 01:52:43,970] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8295131Z  __compiled_fn_121 <eval_with_key>.1065 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8295265Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8295391Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8295535Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8295557Z 
2022-11-23T02:04:38.8295999Z [2022-11-23 01:52:43,970] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8296705Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8296909Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8297325Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8297577Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8297782Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8297973Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8298144Z              12 RETURN_VALUE
2022-11-23T02:04:38.8298172Z 
2022-11-23T02:04:38.8298289Z  
2022-11-23T02:04:38.8298758Z [2022-11-23 01:52:43,970] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8298915Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_121)
2022-11-23T02:04:38.8299048Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8299189Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8299286Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8299413Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8299545Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8299660Z              12 RETURN_VALUE
2022-11-23T02:04:38.8299679Z 
2022-11-23T02:04:38.8299772Z  
2022-11-23T02:04:38.8300029Z [2022-11-23 01:52:43,972] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8300138Z  - 
2022-11-23T02:04:38.8300288Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8300387Z             {
2022-11-23T02:04:38.8300585Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8300844Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8301018Z                 'obj_weakref': None
2022-11-23T02:04:38.8301326Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8301431Z             }
2022-11-23T02:04:38.8301510Z             
2022-11-23T02:04:38.8301616Z  - 
2022-11-23T02:04:38.8301794Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8301888Z             {
2022-11-23T02:04:38.8302087Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8302245Z                 'code': None,
2022-11-23T02:04:38.8302537Z                 'obj_weakref': <weakref at 0x7fa531ef7560; to 'Tensor' at 0x7fa5321bdf80>
2022-11-23T02:04:38.8302939Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8303018Z             }
2022-11-23T02:04:38.8303114Z             
2022-11-23T02:04:38.8303223Z  - 
2022-11-23T02:04:38.8303395Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8303491Z             {
2022-11-23T02:04:38.8303676Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8303894Z                 'code': ['___check_obj_id(model, 140347989950320)'],
2022-11-23T02:04:38.8304308Z                 'obj_weakref': <weakref at 0x7fa53c396c50; to 'Sequential' at 0x7fa55015ff70>
2022-11-23T02:04:38.8304629Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8304726Z             }
2022-11-23T02:04:38.8304829Z             
2022-11-23T02:04:38.8304938Z  - 
2022-11-23T02:04:38.8305116Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8305192Z             {
2022-11-23T02:04:38.8305385Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8305679Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8305851Z                 'obj_weakref': None
2022-11-23T02:04:38.8306155Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8306251Z             }
2022-11-23T02:04:38.8306347Z             
2022-11-23T02:04:38.8306454Z  - 
2022-11-23T02:04:38.8306636Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8306737Z             {
2022-11-23T02:04:38.8306907Z                 'guard_types': None,
2022-11-23T02:04:38.8307064Z                 'code': None,
2022-11-23T02:04:38.8307230Z                 'obj_weakref': None
2022-11-23T02:04:38.8307456Z                 'guarded_class': None
2022-11-23T02:04:38.8307538Z             }
2022-11-23T02:04:38.8307633Z             
2022-11-23T02:04:38.8307740Z  - 
2022-11-23T02:04:38.8307944Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8308040Z             {
2022-11-23T02:04:38.8308208Z                 'guard_types': None,
2022-11-23T02:04:38.8308359Z                 'code': None,
2022-11-23T02:04:38.8308504Z                 'obj_weakref': None
2022-11-23T02:04:38.8308673Z                 'guarded_class': None
2022-11-23T02:04:38.8308769Z             }
2022-11-23T02:04:38.8308864Z             
2022-11-23T02:04:38.8309225Z [2022-11-23 01:52:43,989] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 120
2022-11-23T02:04:38.8309732Z [2022-11-23 01:52:43,999] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ps/cps2wgjnzsis5cucfgvykq4vtngasrlhca36hb5lbgqitxhadpif.py
2022-11-23T02:04:38.8310092Z [2022-11-23 01:52:43,999] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 120
2022-11-23T02:04:38.8310416Z [2022-11-23 01:52:44,092] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8310818Z [2022-11-23 01:52:44,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8311116Z [2022-11-23 01:52:44,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8311443Z [2022-11-23 01:52:44,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8311802Z [2022-11-23 01:52:44,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8312221Z [2022-11-23 01:52:44,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8312675Z [2022-11-23 01:52:44,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8313093Z [2022-11-23 01:52:44,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8313422Z [2022-11-23 01:52:44,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8313742Z [2022-11-23 01:52:44,120] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8314082Z [2022-11-23 01:52:44,122] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8314471Z [2022-11-23 01:52:44,163] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8314730Z [2022-11-23 01:52:44,164] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8314922Z  __compiled_fn_122 <eval_with_key>.1076 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8315053Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8315198Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8315338Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8315358Z 
2022-11-23T02:04:38.8315802Z [2022-11-23 01:52:44,164] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8315943Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8316056Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8316182Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8316322Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8316447Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8316574Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8316687Z              12 RETURN_VALUE
2022-11-23T02:04:38.8316707Z 
2022-11-23T02:04:38.8316854Z  
2022-11-23T02:04:38.8317277Z [2022-11-23 01:52:44,164] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8317431Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_122)
2022-11-23T02:04:38.8317564Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8317699Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8317813Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8317940Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8318071Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8318188Z              12 RETURN_VALUE
2022-11-23T02:04:38.8318211Z 
2022-11-23T02:04:38.8318284Z  
2022-11-23T02:04:38.8318536Z [2022-11-23 01:52:44,166] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8318647Z  - 
2022-11-23T02:04:38.8318815Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8318912Z             {
2022-11-23T02:04:38.8319114Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8319374Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8319525Z                 'obj_weakref': None
2022-11-23T02:04:38.8319827Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8319927Z             }
2022-11-23T02:04:38.8320022Z             
2022-11-23T02:04:38.8320130Z  - 
2022-11-23T02:04:38.8320308Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8320406Z             {
2022-11-23T02:04:38.8320588Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8320744Z                 'code': None,
2022-11-23T02:04:38.8321034Z                 'obj_weakref': <weakref at 0x7fa531ef7330; to 'Tensor' at 0x7fa550147740>
2022-11-23T02:04:38.8321375Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8321476Z             }
2022-11-23T02:04:38.8321571Z             
2022-11-23T02:04:38.8321676Z  - 
2022-11-23T02:04:38.8321824Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8321922Z             {
2022-11-23T02:04:38.8322110Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8322341Z                 'code': ['___check_obj_id(model, 140347989950320)'],
2022-11-23T02:04:38.8322639Z                 'obj_weakref': <weakref at 0x7fa53c396c50; to 'Sequential' at 0x7fa55015ff70>
2022-11-23T02:04:38.8322962Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8323059Z             }
2022-11-23T02:04:38.8323135Z             
2022-11-23T02:04:38.8323310Z  - 
2022-11-23T02:04:38.8323484Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8323578Z             {
2022-11-23T02:04:38.8323775Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8324075Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8324247Z                 'obj_weakref': None
2022-11-23T02:04:38.8324531Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8324630Z             }
2022-11-23T02:04:38.8324725Z             
2022-11-23T02:04:38.8324829Z  - 
2022-11-23T02:04:38.8325030Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8325126Z             {
2022-11-23T02:04:38.8325298Z                 'guard_types': None,
2022-11-23T02:04:38.8325437Z                 'code': None,
2022-11-23T02:04:38.8325600Z                 'obj_weakref': None
2022-11-23T02:04:38.8325769Z                 'guarded_class': None
2022-11-23T02:04:38.8325869Z             }
2022-11-23T02:04:38.8325962Z             
2022-11-23T02:04:38.8326067Z  - 
2022-11-23T02:04:38.8326265Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8326343Z             {
2022-11-23T02:04:38.8326511Z                 'guard_types': None,
2022-11-23T02:04:38.8326753Z                 'code': None,
2022-11-23T02:04:38.8326927Z                 'obj_weakref': None
2022-11-23T02:04:38.8327095Z                 'guarded_class': None
2022-11-23T02:04:38.8327189Z             }
2022-11-23T02:04:38.8327266Z             
2022-11-23T02:04:38.8327622Z [2022-11-23 01:52:44,183] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 121
2022-11-23T02:04:38.8328247Z [2022-11-23 01:52:44,203] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m6/cm6bd5gb6prpurrnpvp6tq263bhyhsw2hmpialipuhpdkzqj64ex.py
2022-11-23T02:04:38.8328609Z [2022-11-23 01:52:44,204] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 121
2022-11-23T02:04:38.8328935Z [2022-11-23 01:52:44,341] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8329362Z [2022-11-23 01:52:44,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8329664Z [2022-11-23 01:52:44,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8329998Z [2022-11-23 01:52:44,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8330366Z [2022-11-23 01:52:44,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8330785Z [2022-11-23 01:52:44,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8331217Z [2022-11-23 01:52:44,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8331636Z [2022-11-23 01:52:44,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8331972Z [2022-11-23 01:52:44,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8332298Z [2022-11-23 01:52:44,369] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8332646Z [2022-11-23 01:52:44,371] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8332991Z [2022-11-23 01:52:44,438] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8333254Z [2022-11-23 01:52:44,438] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8333444Z  __compiled_fn_123 <eval_with_key>.1087 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8333648Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8333777Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8333922Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8333942Z 
2022-11-23T02:04:38.8334388Z [2022-11-23 01:52:44,439] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8334527Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8334659Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8334789Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8334923Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8335052Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8335165Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8335275Z              12 RETURN_VALUE
2022-11-23T02:04:38.8335294Z 
2022-11-23T02:04:38.8335387Z  
2022-11-23T02:04:38.8335834Z [2022-11-23 01:52:44,439] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8335994Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_123)
2022-11-23T02:04:38.8336909Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8337212Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8337324Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8337538Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8337753Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8337918Z              12 RETURN_VALUE
2022-11-23T02:04:38.8337938Z 
2022-11-23T02:04:38.8338036Z  
2022-11-23T02:04:38.8338315Z [2022-11-23 01:52:44,440] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8338425Z  - 
2022-11-23T02:04:38.8338595Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8338674Z             {
2022-11-23T02:04:38.8338871Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8339135Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8339305Z                 'obj_weakref': None
2022-11-23T02:04:38.8339616Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8339717Z             }
2022-11-23T02:04:38.8339816Z             
2022-11-23T02:04:38.8339902Z  - 
2022-11-23T02:04:38.8340083Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8340184Z             {
2022-11-23T02:04:38.8340381Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8340536Z                 'code': None,
2022-11-23T02:04:38.8340830Z                 'obj_weakref': <weakref at 0x7fa53c4a8ef0; to 'Tensor' at 0x7fa61a8db5b0>
2022-11-23T02:04:38.8341174Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8341253Z             }
2022-11-23T02:04:38.8341352Z             
2022-11-23T02:04:38.8341459Z  - 
2022-11-23T02:04:38.8341634Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8341731Z             {
2022-11-23T02:04:38.8341924Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8342160Z                 'code': ['___check_obj_id(model, 140351387563440)'],
2022-11-23T02:04:38.8342443Z                 'obj_weakref': <weakref at 0x7fa53c4771a0; to 'Sequential' at 0x7fa61a9975b0>
2022-11-23T02:04:38.8342764Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8342862Z             }
2022-11-23T02:04:38.8342959Z             
2022-11-23T02:04:38.8343067Z  - 
2022-11-23T02:04:38.8343244Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8343340Z             {
2022-11-23T02:04:38.8343511Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8343811Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8344111Z                 'obj_weakref': None
2022-11-23T02:04:38.8344414Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8344511Z             }
2022-11-23T02:04:38.8344608Z             
2022-11-23T02:04:38.8344715Z  - 
2022-11-23T02:04:38.8344904Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8345002Z             {
2022-11-23T02:04:38.8345171Z                 'guard_types': None,
2022-11-23T02:04:38.8345324Z                 'code': None,
2022-11-23T02:04:38.8345490Z                 'obj_weakref': None
2022-11-23T02:04:38.8345663Z                 'guarded_class': None
2022-11-23T02:04:38.8345758Z             }
2022-11-23T02:04:38.8345835Z             
2022-11-23T02:04:38.8345939Z  - 
2022-11-23T02:04:38.8346137Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8346235Z             {
2022-11-23T02:04:38.8346407Z                 'guard_types': None,
2022-11-23T02:04:38.8346558Z                 'code': None,
2022-11-23T02:04:38.8346710Z                 'obj_weakref': None
2022-11-23T02:04:38.8346880Z                 'guarded_class': None
2022-11-23T02:04:38.8346976Z             }
2022-11-23T02:04:38.8347070Z             
2022-11-23T02:04:38.8347477Z [2022-11-23 01:52:44,457] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 122
2022-11-23T02:04:38.8347500Z 
2022-11-23T02:04:38.8347643Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8347747Z import torch
2022-11-23T02:04:38.8347834Z import random
2022-11-23T02:04:38.8347998Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8348170Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8348191Z 
2022-11-23T02:04:38.8348308Z aten = torch.ops.aten
2022-11-23T02:04:38.8348495Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8348629Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8348649Z 
2022-11-23T02:04:38.8348667Z 
2022-11-23T02:04:38.8348799Z async_compile.wait(globals())
2022-11-23T02:04:38.8348905Z del async_compile
2022-11-23T02:04:38.8348924Z 
2022-11-23T02:04:38.8349011Z def call(args):
2022-11-23T02:04:38.8349179Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8349291Z     args.clear()
2022-11-23T02:04:38.8349489Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T02:04:38.8349654Z     assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T02:04:38.8349757Z     del arg0_1
2022-11-23T02:04:38.8349858Z     del arg1_1
2022-11-23T02:04:38.8349957Z     del arg7_1
2022-11-23T02:04:38.8350047Z     return (buf0, )
2022-11-23T02:04:38.8350066Z 
2022-11-23T02:04:38.8350085Z 
2022-11-23T02:04:38.8350197Z if __name__ == "__main__":
2022-11-23T02:04:38.8350363Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8350543Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8350859Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8351128Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8351395Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8351659Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8351906Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8352164Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8352412Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8352734Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8352952Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8353028Z 
2022-11-23T02:04:38.8353046Z 
2022-11-23T02:04:38.8353188Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8353295Z import torch
2022-11-23T02:04:38.8353401Z import random
2022-11-23T02:04:38.8353546Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8353723Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8353742Z 
2022-11-23T02:04:38.8353860Z aten = torch.ops.aten
2022-11-23T02:04:38.8354049Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8354183Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8354204Z 
2022-11-23T02:04:38.8354222Z 
2022-11-23T02:04:38.8354413Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8354694Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8354865Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8354989Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8355087Z {
2022-11-23T02:04:38.8355229Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8355324Z     {
2022-11-23T02:04:38.8355455Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.8355575Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:38.8355723Z         {
2022-11-23T02:04:38.8355843Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T02:04:38.8355944Z             {
2022-11-23T02:04:38.8356039Z                 {
2022-11-23T02:04:38.8356141Z                     {
2022-11-23T02:04:38.8356292Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T02:04:38.8356435Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T02:04:38.8356537Z                     }
2022-11-23T02:04:38.8356615Z                 }
2022-11-23T02:04:38.8356710Z             }
2022-11-23T02:04:38.8356804Z         }
2022-11-23T02:04:38.8356901Z     }
2022-11-23T02:04:38.8356992Z }
2022-11-23T02:04:38.8357116Z ''')
2022-11-23T02:04:38.8357137Z 
2022-11-23T02:04:38.8357160Z 
2022-11-23T02:04:38.8357294Z async_compile.wait(globals())
2022-11-23T02:04:38.8357383Z del async_compile
2022-11-23T02:04:38.8357402Z 
2022-11-23T02:04:38.8357510Z def call(args):
2022-11-23T02:04:38.8357678Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8357790Z     args.clear()
2022-11-23T02:04:38.8358124Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8358316Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8358419Z     del arg7_1
2022-11-23T02:04:38.8358599Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T02:04:38.8358771Z     assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T02:04:38.8358875Z     del arg0_1
2022-11-23T02:04:38.8358975Z     del arg1_1
2022-11-23T02:04:38.8359084Z     return (buf1, )
2022-11-23T02:04:38.8359108Z 
2022-11-23T02:04:38.8359126Z 
2022-11-23T02:04:38.8359243Z if __name__ == "__main__":
2022-11-23T02:04:38.8359407Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8359577Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8359863Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8360135Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8360401Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8360659Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8360915Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8361169Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8361416Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8361811Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8362011Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8362055Z 
2022-11-23T02:04:38.8362073Z 
2022-11-23T02:04:38.8362192Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8362299Z import torch
2022-11-23T02:04:38.8362405Z import random
2022-11-23T02:04:38.8362569Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8362741Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8362760Z 
2022-11-23T02:04:38.8362877Z aten = torch.ops.aten
2022-11-23T02:04:38.8363067Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8363181Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8363200Z 
2022-11-23T02:04:38.8363238Z 
2022-11-23T02:04:38.8363348Z async_compile.wait(globals())
2022-11-23T02:04:38.8363463Z del async_compile
2022-11-23T02:04:38.8363483Z 
2022-11-23T02:04:38.8363590Z def call(args):
2022-11-23T02:04:38.8363759Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8363867Z     args.clear()
2022-11-23T02:04:38.8364127Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T02:04:38.8364304Z     assert_size_stride(buf0, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1))
2022-11-23T02:04:38.8364390Z     del arg0_1
2022-11-23T02:04:38.8364493Z     del arg1_1
2022-11-23T02:04:38.8364597Z     del arg7_1
2022-11-23T02:04:38.8364704Z     return (buf0, )
2022-11-23T02:04:38.8364724Z 
2022-11-23T02:04:38.8364742Z 
2022-11-23T02:04:38.8364856Z if __name__ == "__main__":
2022-11-23T02:04:38.8365018Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8365194Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8365501Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8365752Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8366012Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8366274Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8366535Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8366791Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8367039Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8367356Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8367578Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8367598Z 
2022-11-23T02:04:38.8367617Z 
2022-11-23T02:04:38.8367740Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8367849Z import torch
2022-11-23T02:04:38.8367956Z import random
2022-11-23T02:04:38.8368119Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8368290Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8368314Z 
2022-11-23T02:04:38.8368432Z aten = torch.ops.aten
2022-11-23T02:04:38.8368615Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8368752Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8368771Z 
2022-11-23T02:04:38.8368790Z 
2022-11-23T02:04:38.8368961Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8369240Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8369408Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8369550Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8369644Z {
2022-11-23T02:04:38.8369786Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8369946Z     {
2022-11-23T02:04:38.8370060Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.8370180Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T02:04:38.8370275Z         {
2022-11-23T02:04:38.8370409Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T02:04:38.8370503Z             {
2022-11-23T02:04:38.8370600Z                 {
2022-11-23T02:04:38.8370701Z                     {
2022-11-23T02:04:38.8370829Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T02:04:38.8370974Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T02:04:38.8371075Z                     }
2022-11-23T02:04:38.8371172Z                 }
2022-11-23T02:04:38.8371267Z             }
2022-11-23T02:04:38.8371362Z         }
2022-11-23T02:04:38.8371455Z     }
2022-11-23T02:04:38.8371528Z }
2022-11-23T02:04:38.8371646Z ''')
2022-11-23T02:04:38.8371666Z 
2022-11-23T02:04:38.8371684Z 
2022-11-23T02:04:38.8371818Z async_compile.wait(globals())
2022-11-23T02:04:38.8371931Z del async_compile
2022-11-23T02:04:38.8371951Z 
2022-11-23T02:04:38.8372057Z def call(args):
2022-11-23T02:04:38.8372226Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8372335Z     args.clear()
2022-11-23T02:04:38.8372691Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8372891Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8372994Z     del arg7_1
2022-11-23T02:04:38.8373190Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T02:04:38.8373357Z     assert_size_stride(buf1, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1))
2022-11-23T02:04:38.8373468Z     del arg0_1
2022-11-23T02:04:38.8373572Z     del arg1_1
2022-11-23T02:04:38.8373680Z     return (buf1, )
2022-11-23T02:04:38.8373700Z 
2022-11-23T02:04:38.8373718Z 
2022-11-23T02:04:38.8373817Z if __name__ == "__main__":
2022-11-23T02:04:38.8373978Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8374151Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8374459Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8374724Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8374981Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8375240Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8375502Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8375745Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8375995Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8377071Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8377450Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8377483Z 
2022-11-23T02:04:38.8378286Z [2022-11-23 01:52:44,467] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fi/cfiiz3sw7ji5ibt2tuewxyatbmckziut6z4qnguzegvb5mquwmvm.py
2022-11-23T02:04:38.8378662Z [2022-11-23 01:52:44,467] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 122
2022-11-23T02:04:38.8378987Z [2022-11-23 01:52:44,837] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8379412Z [2022-11-23 01:52:44,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8379710Z [2022-11-23 01:52:44,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8380025Z [2022-11-23 01:52:44,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8380564Z [2022-11-23 01:52:44,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8380990Z [2022-11-23 01:52:44,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8381439Z [2022-11-23 01:52:44,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8381853Z [2022-11-23 01:52:44,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8382189Z [2022-11-23 01:52:44,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8382507Z [2022-11-23 01:52:44,866] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8382852Z [2022-11-23 01:52:44,868] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8383262Z [2022-11-23 01:52:44,936] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8383590Z [2022-11-23 01:52:44,937] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8383762Z  __compiled_fn_124 <eval_with_key>.1098 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8383896Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8384042Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8384185Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8384205Z 
2022-11-23T02:04:38.8384646Z [2022-11-23 01:52:44,937] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8384783Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8384925Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8385053Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8385169Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8385297Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8385432Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8385547Z              12 RETURN_VALUE
2022-11-23T02:04:38.8385567Z 
2022-11-23T02:04:38.8385660Z  
2022-11-23T02:04:38.8386216Z [2022-11-23 01:52:44,937] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8386376Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_124)
2022-11-23T02:04:38.8386509Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8386621Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8386735Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8386863Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8386999Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8387108Z              12 RETURN_VALUE
2022-11-23T02:04:38.8387127Z 
2022-11-23T02:04:38.8387221Z  
2022-11-23T02:04:38.8387478Z [2022-11-23 01:52:44,939] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8387567Z  - 
2022-11-23T02:04:38.8387734Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8387835Z             {
2022-11-23T02:04:38.8388034Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8388292Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8388460Z                 'obj_weakref': None
2022-11-23T02:04:38.8388832Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8388913Z             }
2022-11-23T02:04:38.8389012Z             
2022-11-23T02:04:38.8389118Z  - 
2022-11-23T02:04:38.8389317Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8389459Z             {
2022-11-23T02:04:38.8389666Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8389817Z                 'code': None,
2022-11-23T02:04:38.8390091Z                 'obj_weakref': <weakref at 0x7fa53c4aba60; to 'Tensor' at 0x7fa53210ad90>
2022-11-23T02:04:38.8390436Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8390534Z             }
2022-11-23T02:04:38.8390630Z             
2022-11-23T02:04:38.8390737Z  - 
2022-11-23T02:04:38.8390907Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8391001Z             {
2022-11-23T02:04:38.8391172Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8391407Z                 'code': ['___check_obj_id(model, 140351387563440)'],
2022-11-23T02:04:38.8391708Z                 'obj_weakref': <weakref at 0x7fa53c4771a0; to 'Sequential' at 0x7fa61a9975b0>
2022-11-23T02:04:38.8392027Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8392127Z             }
2022-11-23T02:04:38.8392223Z             
2022-11-23T02:04:38.8392328Z  - 
2022-11-23T02:04:38.8392480Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8392670Z             {
2022-11-23T02:04:38.8392871Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8393164Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8393331Z                 'obj_weakref': None
2022-11-23T02:04:38.8393631Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8393727Z             }
2022-11-23T02:04:38.8393803Z             
2022-11-23T02:04:38.8393909Z  - 
2022-11-23T02:04:38.8394116Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8394215Z             {
2022-11-23T02:04:38.8394385Z                 'guard_types': None,
2022-11-23T02:04:38.8394544Z                 'code': None,
2022-11-23T02:04:38.8394706Z                 'obj_weakref': None
2022-11-23T02:04:38.8394858Z                 'guarded_class': None
2022-11-23T02:04:38.8394955Z             }
2022-11-23T02:04:38.8395052Z             
2022-11-23T02:04:38.8395158Z  - 
2022-11-23T02:04:38.8395366Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8395463Z             {
2022-11-23T02:04:38.8395620Z                 'guard_types': None,
2022-11-23T02:04:38.8395774Z                 'code': None,
2022-11-23T02:04:38.8395938Z                 'obj_weakref': None
2022-11-23T02:04:38.8396107Z                 'guarded_class': None
2022-11-23T02:04:38.8396204Z             }
2022-11-23T02:04:38.8396300Z             
2022-11-23T02:04:38.8396659Z [2022-11-23 01:52:44,956] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 123
2022-11-23T02:04:38.8397148Z [2022-11-23 01:52:44,976] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p4/cp4rlma65hnxhotm54h3gcyua6nglcapzwogvt7c37tpxndbpsic.py
2022-11-23T02:04:38.8397494Z [2022-11-23 01:52:44,976] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 123
2022-11-23T02:04:38.8397824Z [2022-11-23 01:52:45,309] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8398251Z [2022-11-23 01:52:45,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8398560Z [2022-11-23 01:52:45,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8398880Z [2022-11-23 01:52:45,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8399245Z [2022-11-23 01:52:45,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8399667Z [2022-11-23 01:52:45,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8400177Z [2022-11-23 01:52:45,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8400601Z [2022-11-23 01:52:45,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8400934Z [2022-11-23 01:52:45,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8401237Z [2022-11-23 01:52:45,337] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8401583Z [2022-11-23 01:52:45,338] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8401920Z [2022-11-23 01:52:45,419] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8402188Z [2022-11-23 01:52:45,420] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8402379Z  __compiled_fn_125 <eval_with_key>.1109 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8402510Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8402702Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8402851Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8402871Z 
2022-11-23T02:04:38.8403295Z [2022-11-23 01:52:45,420] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8403432Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8403567Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8403695Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8403829Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8403954Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8404093Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8404212Z              12 RETURN_VALUE
2022-11-23T02:04:38.8404232Z 
2022-11-23T02:04:38.8404306Z  
2022-11-23T02:04:38.8404740Z [2022-11-23 01:52:45,420] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8404898Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_125)
2022-11-23T02:04:38.8405030Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8405164Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8405277Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8405402Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8405514Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8405625Z              12 RETURN_VALUE
2022-11-23T02:04:38.8405645Z 
2022-11-23T02:04:38.8405738Z  
2022-11-23T02:04:38.8405990Z [2022-11-23 01:52:45,422] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8406101Z  - 
2022-11-23T02:04:38.8406269Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8406366Z             {
2022-11-23T02:04:38.8406544Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8406806Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8406979Z                 'obj_weakref': None
2022-11-23T02:04:38.8407292Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8407389Z             }
2022-11-23T02:04:38.8407484Z             
2022-11-23T02:04:38.8407589Z  - 
2022-11-23T02:04:38.8407810Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8407904Z             {
2022-11-23T02:04:38.8408145Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8408300Z                 'code': None,
2022-11-23T02:04:38.8408586Z                 'obj_weakref': <weakref at 0x7fa531e87100; to 'Tensor' at 0x7fa55016fe20>
2022-11-23T02:04:38.8408889Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8409057Z             }
2022-11-23T02:04:38.8409156Z             
2022-11-23T02:04:38.8409273Z  - 
2022-11-23T02:04:38.8409417Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8409520Z             {
2022-11-23T02:04:38.8409710Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8409948Z                 'code': ['___check_obj_id(model, 140347656648640)'],
2022-11-23T02:04:38.8410249Z                 'obj_weakref': <weakref at 0x7fa53c48e070; to 'Sequential' at 0x7fa53c3837c0>
2022-11-23T02:04:38.8410568Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8410647Z             }
2022-11-23T02:04:38.8410742Z             
2022-11-23T02:04:38.8410846Z  - 
2022-11-23T02:04:38.8411020Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8411114Z             {
2022-11-23T02:04:38.8411309Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8411593Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8411766Z                 'obj_weakref': None
2022-11-23T02:04:38.8412134Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8412236Z             }
2022-11-23T02:04:38.8412331Z             
2022-11-23T02:04:38.8412443Z  - 
2022-11-23T02:04:38.8412646Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8412722Z             {
2022-11-23T02:04:38.8412895Z                 'guard_types': None,
2022-11-23T02:04:38.8413049Z                 'code': None,
2022-11-23T02:04:38.8413213Z                 'obj_weakref': None
2022-11-23T02:04:38.8413383Z                 'guarded_class': None
2022-11-23T02:04:38.8413479Z             }
2022-11-23T02:04:38.8413575Z             
2022-11-23T02:04:38.8413661Z  - 
2022-11-23T02:04:38.8413861Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8413961Z             {
2022-11-23T02:04:38.8414133Z                 'guard_types': None,
2022-11-23T02:04:38.8414287Z                 'code': None,
2022-11-23T02:04:38.8414453Z                 'obj_weakref': None
2022-11-23T02:04:38.8414629Z                 'guarded_class': None
2022-11-23T02:04:38.8414707Z             }
2022-11-23T02:04:38.8414798Z             
2022-11-23T02:04:38.8415151Z [2022-11-23 01:52:45,439] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 124
2022-11-23T02:04:38.8415635Z [2022-11-23 01:52:45,449] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2d/c2dny33z2ywgm7ehimowpu726zvfz73i6tpu5kcqgyvqvi33v4ip.py
2022-11-23T02:04:38.8415994Z [2022-11-23 01:52:45,450] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 124
2022-11-23T02:04:38.8416828Z [2022-11-23 01:52:45,607] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8417618Z [2022-11-23 01:52:45,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8417994Z [2022-11-23 01:52:45,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8418331Z [2022-11-23 01:52:45,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8418680Z [2022-11-23 01:52:45,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8419099Z [2022-11-23 01:52:45,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8419549Z [2022-11-23 01:52:45,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8419967Z [2022-11-23 01:52:45,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8420478Z [2022-11-23 01:52:45,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8420800Z [2022-11-23 01:52:45,635] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8421146Z [2022-11-23 01:52:45,637] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8421486Z [2022-11-23 01:52:45,714] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8421743Z [2022-11-23 01:52:45,715] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8421916Z  __compiled_fn_126 <eval_with_key>.1120 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8422048Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8422190Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8422336Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8422357Z 
2022-11-23T02:04:38.8422794Z [2022-11-23 01:52:45,715] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8423073Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8423216Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8423344Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8423460Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8423587Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8423716Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8423831Z              12 RETURN_VALUE
2022-11-23T02:04:38.8423851Z 
2022-11-23T02:04:38.8423945Z  
2022-11-23T02:04:38.8424380Z [2022-11-23 01:52:45,716] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8424544Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_126)
2022-11-23T02:04:38.8424677Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8424790Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8424901Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8425032Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8425163Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8425275Z              12 RETURN_VALUE
2022-11-23T02:04:38.8425294Z 
2022-11-23T02:04:38.8425390Z  
2022-11-23T02:04:38.8425647Z [2022-11-23 01:52:45,717] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8425737Z  - 
2022-11-23T02:04:38.8425905Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8426003Z             {
2022-11-23T02:04:38.8426195Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8426499Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8426675Z                 'obj_weakref': None
2022-11-23T02:04:38.8426984Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8427064Z             }
2022-11-23T02:04:38.8427160Z             
2022-11-23T02:04:38.8427265Z  - 
2022-11-23T02:04:38.8427444Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8427543Z             {
2022-11-23T02:04:38.8427741Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8427898Z                 'code': None,
2022-11-23T02:04:38.8428170Z                 'obj_weakref': <weakref at 0x7fa5321bef70; to 'Tensor' at 0x7fa53c48dad0>
2022-11-23T02:04:38.8428513Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8428611Z             }
2022-11-23T02:04:38.8428706Z             
2022-11-23T02:04:38.8428811Z  - 
2022-11-23T02:04:38.8428980Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8429078Z             {
2022-11-23T02:04:38.8429322Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8429557Z                 'code': ['___check_obj_id(model, 140347656648640)'],
2022-11-23T02:04:38.8429860Z                 'obj_weakref': <weakref at 0x7fa53c48e070; to 'Sequential' at 0x7fa53c3837c0>
2022-11-23T02:04:38.8430182Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8430284Z             }
2022-11-23T02:04:38.8430382Z             
2022-11-23T02:04:38.8430486Z  - 
2022-11-23T02:04:38.8430639Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8430740Z             {
2022-11-23T02:04:38.8430930Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8431226Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8431393Z                 'obj_weakref': None
2022-11-23T02:04:38.8431699Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8431802Z             }
2022-11-23T02:04:38.8431878Z             
2022-11-23T02:04:38.8431986Z  - 
2022-11-23T02:04:38.8432193Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8432291Z             {
2022-11-23T02:04:38.8432527Z                 'guard_types': None,
2022-11-23T02:04:38.8432687Z                 'code': None,
2022-11-23T02:04:38.8432857Z                 'obj_weakref': None
2022-11-23T02:04:38.8433008Z                 'guarded_class': None
2022-11-23T02:04:38.8433102Z             }
2022-11-23T02:04:38.8433198Z             
2022-11-23T02:04:38.8433305Z  - 
2022-11-23T02:04:38.8433514Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8433612Z             {
2022-11-23T02:04:38.8433780Z                 'guard_types': None,
2022-11-23T02:04:38.8433912Z                 'code': None,
2022-11-23T02:04:38.8434077Z                 'obj_weakref': None
2022-11-23T02:04:38.8434249Z                 'guarded_class': None
2022-11-23T02:04:38.8434352Z             }
2022-11-23T02:04:38.8434448Z             
2022-11-23T02:04:38.8434810Z [2022-11-23 01:52:45,735] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 125
2022-11-23T02:04:38.8435302Z [2022-11-23 01:52:45,754] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ds/cdsgb3ciryw6rwd5mhygvcbh422adb3qhcg3xbcdwkjmk5blb2cd.py
2022-11-23T02:04:38.8435643Z [2022-11-23 01:52:45,755] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 125
2022-11-23T02:04:38.8435969Z [2022-11-23 01:52:45,923] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8436395Z [2022-11-23 01:52:45,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8436692Z [2022-11-23 01:52:45,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8437020Z [2022-11-23 01:52:45,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8437391Z [2022-11-23 01:52:45,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8437812Z [2022-11-23 01:52:45,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8438259Z [2022-11-23 01:52:45,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8438677Z [2022-11-23 01:52:45,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8439008Z [2022-11-23 01:52:45,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8439307Z [2022-11-23 01:52:45,951] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8439726Z [2022-11-23 01:52:45,953] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8440070Z [2022-11-23 01:52:46,029] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8440335Z [2022-11-23 01:52:46,030] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8440528Z  __compiled_fn_127 <eval_with_key>.1131 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8440658Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8440800Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8440944Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8440965Z 
2022-11-23T02:04:38.8441382Z [2022-11-23 01:52:46,031] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8441521Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8441662Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8441837Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8441928Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8442060Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8442309Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8442481Z              12 RETURN_VALUE
2022-11-23T02:04:38.8442494Z 
2022-11-23T02:04:38.8442526Z  
2022-11-23T02:04:38.8443017Z [2022-11-23 01:52:46,031] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8443171Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_127)
2022-11-23T02:04:38.8443269Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8443401Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8443517Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8443645Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8443762Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8443872Z              12 RETURN_VALUE
2022-11-23T02:04:38.8443892Z 
2022-11-23T02:04:38.8443986Z  
2022-11-23T02:04:38.8444244Z [2022-11-23 01:52:46,032] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8444355Z  - 
2022-11-23T02:04:38.8444526Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8444623Z             {
2022-11-23T02:04:38.8444804Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8445059Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8445229Z                 'obj_weakref': None
2022-11-23T02:04:38.8445537Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8445636Z             }
2022-11-23T02:04:38.8445731Z             
2022-11-23T02:04:38.8445839Z  - 
2022-11-23T02:04:38.8446015Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8446099Z             {
2022-11-23T02:04:38.8446296Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8446453Z                 'code': None,
2022-11-23T02:04:38.8446744Z                 'obj_weakref': <weakref at 0x7fa55a0af8d0; to 'Tensor' at 0x7fa5503dd990>
2022-11-23T02:04:38.8447098Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8447198Z             }
2022-11-23T02:04:38.8447292Z             
2022-11-23T02:04:38.8447379Z  - 
2022-11-23T02:04:38.8447549Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8447647Z             {
2022-11-23T02:04:38.8447837Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8448075Z                 'code': ['___check_obj_id(model, 140351387563440)'],
2022-11-23T02:04:38.8448373Z                 'obj_weakref': <weakref at 0x7fa532160090; to 'Sequential' at 0x7fa61a9975b0>
2022-11-23T02:04:38.8448691Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8448840Z             }
2022-11-23T02:04:38.8448936Z             
2022-11-23T02:04:38.8449046Z  - 
2022-11-23T02:04:38.8449219Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8449317Z             {
2022-11-23T02:04:38.8449511Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8449809Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8449959Z                 'obj_weakref': None
2022-11-23T02:04:38.8450259Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8450356Z             }
2022-11-23T02:04:38.8450451Z             
2022-11-23T02:04:38.8450556Z  - 
2022-11-23T02:04:38.8450757Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8450855Z             {
2022-11-23T02:04:38.8451005Z                 'guard_types': None,
2022-11-23T02:04:38.8451157Z                 'code': None,
2022-11-23T02:04:38.8451324Z                 'obj_weakref': None
2022-11-23T02:04:38.8451491Z                 'guarded_class': None
2022-11-23T02:04:38.8451588Z             }
2022-11-23T02:04:38.8451683Z             
2022-11-23T02:04:38.8451769Z  - 
2022-11-23T02:04:38.8452023Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8452127Z             {
2022-11-23T02:04:38.8452299Z                 'guard_types': None,
2022-11-23T02:04:38.8452451Z                 'code': None,
2022-11-23T02:04:38.8452622Z                 'obj_weakref': None
2022-11-23T02:04:38.8452794Z                 'guarded_class': None
2022-11-23T02:04:38.8452873Z             }
2022-11-23T02:04:38.8452968Z             
2022-11-23T02:04:38.8453324Z [2022-11-23 01:52:46,050] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 126
2022-11-23T02:04:38.8453344Z 
2022-11-23T02:04:38.8453483Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8453593Z import torch
2022-11-23T02:04:38.8453705Z import random
2022-11-23T02:04:38.8453918Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8454048Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8454081Z 
2022-11-23T02:04:38.8454218Z aten = torch.ops.aten
2022-11-23T02:04:38.8454396Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8454544Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8454544Z 
2022-11-23T02:04:38.8454590Z 
2022-11-23T02:04:38.8454666Z async_compile.wait(globals())
2022-11-23T02:04:38.8454777Z del async_compile
2022-11-23T02:04:38.8454797Z 
2022-11-23T02:04:38.8454907Z def call(args):
2022-11-23T02:04:38.8455081Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8455169Z     args.clear()
2022-11-23T02:04:38.8455369Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T02:04:38.8455540Z     assert_size_stride(buf0, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1))
2022-11-23T02:04:38.8455648Z     del arg0_1
2022-11-23T02:04:38.8455749Z     del arg1_1
2022-11-23T02:04:38.8455850Z     del arg7_1
2022-11-23T02:04:38.8455961Z     return (buf0, )
2022-11-23T02:04:38.8455980Z 
2022-11-23T02:04:38.8455999Z 
2022-11-23T02:04:38.8456616Z if __name__ == "__main__":
2022-11-23T02:04:38.8456850Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8457145Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8457686Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8458087Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8458363Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8458621Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8458879Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8459300Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8459530Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8459852Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8460073Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8460093Z 
2022-11-23T02:04:38.8460112Z 
2022-11-23T02:04:38.8460251Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8460358Z import torch
2022-11-23T02:04:38.8460464Z import random
2022-11-23T02:04:38.8460629Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8460797Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8460816Z 
2022-11-23T02:04:38.8460912Z aten = torch.ops.aten
2022-11-23T02:04:38.8461108Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8461247Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8461266Z 
2022-11-23T02:04:38.8461284Z 
2022-11-23T02:04:38.8461477Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8461876Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8462059Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8462206Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8462299Z {
2022-11-23T02:04:38.8462421Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8462517Z     {
2022-11-23T02:04:38.8462650Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.8462770Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:38.8462865Z         {
2022-11-23T02:04:38.8462997Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T02:04:38.8463093Z             {
2022-11-23T02:04:38.8463172Z                 {
2022-11-23T02:04:38.8463276Z                     {
2022-11-23T02:04:38.8463425Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T02:04:38.8463567Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T02:04:38.8463669Z                     }
2022-11-23T02:04:38.8463767Z                 }
2022-11-23T02:04:38.8463865Z             }
2022-11-23T02:04:38.8463942Z         }
2022-11-23T02:04:38.8464038Z     }
2022-11-23T02:04:38.8464126Z }
2022-11-23T02:04:38.8464252Z ''')
2022-11-23T02:04:38.8464272Z 
2022-11-23T02:04:38.8464291Z 
2022-11-23T02:04:38.8464426Z async_compile.wait(globals())
2022-11-23T02:04:38.8464535Z del async_compile
2022-11-23T02:04:38.8464554Z 
2022-11-23T02:04:38.8464662Z def call(args):
2022-11-23T02:04:38.8464813Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8464921Z     args.clear()
2022-11-23T02:04:38.8465247Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8465438Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8465541Z     del arg7_1
2022-11-23T02:04:38.8465740Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T02:04:38.8465961Z     assert_size_stride(buf1, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1))
2022-11-23T02:04:38.8466046Z     del arg0_1
2022-11-23T02:04:38.8466146Z     del arg1_1
2022-11-23T02:04:38.8466253Z     return (buf1, )
2022-11-23T02:04:38.8466273Z 
2022-11-23T02:04:38.8466291Z 
2022-11-23T02:04:38.8466405Z if __name__ == "__main__":
2022-11-23T02:04:38.8466569Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8466744Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8467050Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8467318Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8467645Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8467907Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8468168Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8468426Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8468672Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8468991Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8469209Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8469228Z 
2022-11-23T02:04:38.8469246Z 
2022-11-23T02:04:38.8469383Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8469486Z import torch
2022-11-23T02:04:38.8469574Z import random
2022-11-23T02:04:38.8469743Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8469912Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8469933Z 
2022-11-23T02:04:38.8470049Z aten = torch.ops.aten
2022-11-23T02:04:38.8470285Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8470425Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8470444Z 
2022-11-23T02:04:38.8470462Z 
2022-11-23T02:04:38.8470591Z async_compile.wait(globals())
2022-11-23T02:04:38.8470701Z del async_compile
2022-11-23T02:04:38.8470721Z 
2022-11-23T02:04:38.8470811Z def call(args):
2022-11-23T02:04:38.8470976Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8471082Z     args.clear()
2022-11-23T02:04:38.8471280Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T02:04:38.8471444Z     assert_size_stride(buf0, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1))
2022-11-23T02:04:38.8471552Z     del arg0_1
2022-11-23T02:04:38.8471654Z     del arg1_1
2022-11-23T02:04:38.8471736Z     del arg7_1
2022-11-23T02:04:38.8471843Z     return (buf0, )
2022-11-23T02:04:38.8471862Z 
2022-11-23T02:04:38.8471880Z 
2022-11-23T02:04:38.8471992Z if __name__ == "__main__":
2022-11-23T02:04:38.8472155Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8472325Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8472629Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8472892Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8473150Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8473388Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8473643Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8473903Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8474148Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8474464Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8474683Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8474704Z 
2022-11-23T02:04:38.8474723Z 
2022-11-23T02:04:38.8474864Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8474969Z import torch
2022-11-23T02:04:38.8475057Z import random
2022-11-23T02:04:38.8475222Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8475392Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8475411Z 
2022-11-23T02:04:38.8475527Z aten = torch.ops.aten
2022-11-23T02:04:38.8475713Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8475846Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8475921Z 
2022-11-23T02:04:38.8475939Z 
2022-11-23T02:04:38.8476136Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8476414Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8476569Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8476716Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8476810Z {
2022-11-23T02:04:38.8476950Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8477045Z     {
2022-11-23T02:04:38.8477175Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.8477295Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T02:04:38.8477371Z         {
2022-11-23T02:04:38.8477502Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T02:04:38.8477599Z             {
2022-11-23T02:04:38.8477694Z                 {
2022-11-23T02:04:38.8477795Z                     {
2022-11-23T02:04:38.8477942Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T02:04:38.8478088Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T02:04:38.8478171Z                     }
2022-11-23T02:04:38.8478267Z                 }
2022-11-23T02:04:38.8478361Z             }
2022-11-23T02:04:38.8478454Z         }
2022-11-23T02:04:38.8478600Z     }
2022-11-23T02:04:38.8478699Z }
2022-11-23T02:04:38.8478803Z ''')
2022-11-23T02:04:38.8478843Z 
2022-11-23T02:04:38.8478861Z 
2022-11-23T02:04:38.8478976Z async_compile.wait(globals())
2022-11-23T02:04:38.8479084Z del async_compile
2022-11-23T02:04:38.8479103Z 
2022-11-23T02:04:38.8479210Z def call(args):
2022-11-23T02:04:38.8479380Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8479488Z     args.clear()
2022-11-23T02:04:38.8479807Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8479996Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8480085Z     del arg7_1
2022-11-23T02:04:38.8480280Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T02:04:38.8480447Z     assert_size_stride(buf1, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1))
2022-11-23T02:04:38.8480553Z     del arg0_1
2022-11-23T02:04:38.8480656Z     del arg1_1
2022-11-23T02:04:38.8480762Z     return (buf1, )
2022-11-23T02:04:38.8480781Z 
2022-11-23T02:04:38.8480799Z 
2022-11-23T02:04:38.8480911Z if __name__ == "__main__":
2022-11-23T02:04:38.8481075Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8481230Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8481529Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8481799Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8482061Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8482324Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8482582Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8482840Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8483086Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8483385Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8483600Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8483619Z 
2022-11-23T02:04:38.8484116Z [2022-11-23 01:52:46,059] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tq/ctqzpig3sjl3xvzyap6wdlrf42a7khowpaaq37r5xtpqtzayznvq.py
2022-11-23T02:04:38.8484479Z [2022-11-23 01:52:46,060] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 126
2022-11-23T02:04:38.8484877Z [2022-11-23 01:52:46,365] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8485304Z [2022-11-23 01:52:46,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8485601Z [2022-11-23 01:52:46,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8486000Z [2022-11-23 01:52:46,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8486368Z [2022-11-23 01:52:46,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8486793Z [2022-11-23 01:52:46,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8487226Z [2022-11-23 01:52:46,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8487648Z [2022-11-23 01:52:46,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8488168Z [2022-11-23 01:52:46,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8488495Z [2022-11-23 01:52:46,394] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8488841Z [2022-11-23 01:52:46,395] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8489184Z [2022-11-23 01:52:46,459] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8489445Z [2022-11-23 01:52:46,460] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8489639Z  __compiled_fn_128 <eval_with_key>.1142 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8489775Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8489899Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8490043Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8490062Z 
2022-11-23T02:04:38.8490502Z [2022-11-23 01:52:46,460] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8490644Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8490778Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8490907Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8491042Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8491169Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8491281Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8491392Z              12 RETURN_VALUE
2022-11-23T02:04:38.8491413Z 
2022-11-23T02:04:38.8491510Z  
2022-11-23T02:04:38.8491957Z [2022-11-23 01:52:46,460] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8492115Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_128)
2022-11-23T02:04:38.8492254Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8492385Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8492500Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8492612Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8492745Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8492857Z              12 RETURN_VALUE
2022-11-23T02:04:38.8492876Z 
2022-11-23T02:04:38.8492969Z  
2022-11-23T02:04:38.8493224Z [2022-11-23 01:52:46,462] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8493329Z  - 
2022-11-23T02:04:38.8493498Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8493577Z             {
2022-11-23T02:04:38.8493779Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8494120Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8494290Z                 'obj_weakref': None
2022-11-23T02:04:38.8494600Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8494699Z             }
2022-11-23T02:04:38.8494795Z             
2022-11-23T02:04:38.8494882Z  - 
2022-11-23T02:04:38.8495065Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8495161Z             {
2022-11-23T02:04:38.8495363Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8495520Z                 'code': None,
2022-11-23T02:04:38.8495811Z                 'obj_weakref': <weakref at 0x7fa531e840e0; to 'Tensor' at 0x7fa53c48e430>
2022-11-23T02:04:38.8496721Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8496859Z             }
2022-11-23T02:04:38.8497027Z             
2022-11-23T02:04:38.8497212Z  - 
2022-11-23T02:04:38.8497494Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8497650Z             {
2022-11-23T02:04:38.8497969Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8498486Z                 'code': ['___check_obj_id(model, 140351387563440)'],
2022-11-23T02:04:38.8498786Z                 'obj_weakref': <weakref at 0x7fa532160090; to 'Sequential' at 0x7fa61a9975b0>
2022-11-23T02:04:38.8499107Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8499204Z             }
2022-11-23T02:04:38.8499300Z             
2022-11-23T02:04:38.8499406Z  - 
2022-11-23T02:04:38.8499580Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8499681Z             {
2022-11-23T02:04:38.8499853Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8500151Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8500326Z                 'obj_weakref': None
2022-11-23T02:04:38.8500628Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8500725Z             }
2022-11-23T02:04:38.8500820Z             
2022-11-23T02:04:38.8500933Z  - 
2022-11-23T02:04:38.8501115Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8501214Z             {
2022-11-23T02:04:38.8501384Z                 'guard_types': None,
2022-11-23T02:04:38.8501538Z                 'code': None,
2022-11-23T02:04:38.8501702Z                 'obj_weakref': None
2022-11-23T02:04:38.8501872Z                 'guarded_class': None
2022-11-23T02:04:38.8501968Z             }
2022-11-23T02:04:38.8502046Z             
2022-11-23T02:04:38.8502152Z  - 
2022-11-23T02:04:38.8502353Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8502454Z             {
2022-11-23T02:04:38.8502624Z                 'guard_types': None,
2022-11-23T02:04:38.8502781Z                 'code': None,
2022-11-23T02:04:38.8502929Z                 'obj_weakref': None
2022-11-23T02:04:38.8503096Z                 'guarded_class': None
2022-11-23T02:04:38.8503194Z             }
2022-11-23T02:04:38.8503287Z             
2022-11-23T02:04:38.8503649Z [2022-11-23 01:52:46,479] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 127
2022-11-23T02:04:38.8504145Z [2022-11-23 01:52:46,500] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qg/cqgiq6guouxgvtifrtxwhgo5pn7u4bcy4slkvgbsoj3udkqcdom4.py
2022-11-23T02:04:38.8504508Z [2022-11-23 01:52:46,500] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 127
2022-11-23T02:04:38.8504830Z [2022-11-23 01:52:46,754] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8505233Z [2022-11-23 01:52:46,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8505653Z [2022-11-23 01:52:46,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8505980Z [2022-11-23 01:52:46,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8506344Z [2022-11-23 01:52:46,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8506761Z [2022-11-23 01:52:46,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8507213Z [2022-11-23 01:52:46,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8507633Z [2022-11-23 01:52:46,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8507969Z [2022-11-23 01:52:46,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8508293Z [2022-11-23 01:52:46,781] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8508697Z [2022-11-23 01:52:46,782] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8509024Z [2022-11-23 01:52:46,814] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8509288Z [2022-11-23 01:52:46,815] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8509477Z  __compiled_fn_129 <eval_with_key>.1153 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8509607Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8509787Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8509913Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8509915Z 
2022-11-23T02:04:38.8510354Z [2022-11-23 01:52:46,815] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8510501Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8510635Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8510748Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8510885Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8511008Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8511138Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8511251Z              12 RETURN_VALUE
2022-11-23T02:04:38.8511271Z 
2022-11-23T02:04:38.8511362Z  
2022-11-23T02:04:38.8511797Z [2022-11-23 01:52:46,815] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8511935Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_129)
2022-11-23T02:04:38.8512067Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8512203Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8512322Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8512450Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8512582Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8512698Z              12 RETURN_VALUE
2022-11-23T02:04:38.8512718Z 
2022-11-23T02:04:38.8512790Z  
2022-11-23T02:04:38.8513047Z [2022-11-23 01:52:46,817] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8513153Z  - 
2022-11-23T02:04:38.8513323Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8513421Z             {
2022-11-23T02:04:38.8513618Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8513878Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8522168Z                 'obj_weakref': None
2022-11-23T02:04:38.8522619Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8522950Z             }
2022-11-23T02:04:38.8523028Z             
2022-11-23T02:04:38.8523147Z  - 
2022-11-23T02:04:38.8523336Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8523442Z             {
2022-11-23T02:04:38.8523657Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8523817Z                 'code': None,
2022-11-23T02:04:38.8524115Z                 'obj_weakref': <weakref at 0x7fa531fc2980; to 'Tensor' at 0x7fa55017d350>
2022-11-23T02:04:38.8524439Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8524543Z             }
2022-11-23T02:04:38.8524645Z             
2022-11-23T02:04:38.8524756Z  - 
2022-11-23T02:04:38.8524929Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8525035Z             {
2022-11-23T02:04:38.8525233Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8525452Z                 'code': ['___check_obj_id(model, 140347992495952)'],
2022-11-23T02:04:38.8525758Z                 'obj_weakref': <weakref at 0x7fa531fc1580; to 'Sequential' at 0x7fa5503cd750>
2022-11-23T02:04:38.8526087Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8526188Z             }
2022-11-23T02:04:38.8526371Z             
2022-11-23T02:04:38.8526487Z  - 
2022-11-23T02:04:38.8526668Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8526745Z             {
2022-11-23T02:04:38.8526944Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8527246Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8527419Z                 'obj_weakref': None
2022-11-23T02:04:38.8527725Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8527830Z             }
2022-11-23T02:04:38.8527928Z             
2022-11-23T02:04:38.8528016Z  - 
2022-11-23T02:04:38.8528232Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8528333Z             {
2022-11-23T02:04:38.8528509Z                 'guard_types': None,
2022-11-23T02:04:38.8528672Z                 'code': None,
2022-11-23T02:04:38.8528848Z                 'obj_weakref': None
2022-11-23T02:04:38.8529027Z                 'guarded_class': None
2022-11-23T02:04:38.8529105Z             }
2022-11-23T02:04:38.8529205Z             
2022-11-23T02:04:38.8529315Z  - 
2022-11-23T02:04:38.8529520Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8529625Z             {
2022-11-23T02:04:38.8529799Z                 'guard_types': None,
2022-11-23T02:04:38.8529932Z                 'code': None,
2022-11-23T02:04:38.8530101Z                 'obj_weakref': None
2022-11-23T02:04:38.8530282Z                 'guarded_class': None
2022-11-23T02:04:38.8530380Z             }
2022-11-23T02:04:38.8530485Z             
2022-11-23T02:04:38.8530843Z [2022-11-23 01:52:46,834] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 128
2022-11-23T02:04:38.8531358Z [2022-11-23 01:52:46,842] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gh/cgh3iyyxa3iigurde7dsrbh6zfffru6hndv4r4lpimbdqdceqb75.py
2022-11-23T02:04:38.8531724Z [2022-11-23 01:52:46,843] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 128
2022-11-23T02:04:38.8532030Z [2022-11-23 01:52:46,923] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8532459Z [2022-11-23 01:52:46,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8532766Z [2022-11-23 01:52:46,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8533103Z [2022-11-23 01:52:46,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8533466Z [2022-11-23 01:52:46,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8533967Z [2022-11-23 01:52:46,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8534431Z [2022-11-23 01:52:46,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8534856Z [2022-11-23 01:52:46,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8535198Z [2022-11-23 01:52:46,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8535528Z [2022-11-23 01:52:46,950] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8535856Z [2022-11-23 01:52:46,951] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8536847Z [2022-11-23 01:52:46,981] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8537327Z [2022-11-23 01:52:46,981] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8537908Z  __compiled_fn_130 <eval_with_key>.1164 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8538084Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8538235Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8538381Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8538412Z 
2022-11-23T02:04:38.8538869Z [2022-11-23 01:52:46,982] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8538990Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8539129Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8539264Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8539411Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8539542Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8539676Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8539797Z              12 RETURN_VALUE
2022-11-23T02:04:38.8539817Z 
2022-11-23T02:04:38.8539924Z  
2022-11-23T02:04:38.8540338Z [2022-11-23 01:52:46,982] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8540503Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_130)
2022-11-23T02:04:38.8540648Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8540783Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8540902Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8541036Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8541173Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8541267Z              12 RETURN_VALUE
2022-11-23T02:04:38.8541290Z 
2022-11-23T02:04:38.8541388Z  
2022-11-23T02:04:38.8541650Z [2022-11-23 01:52:46,983] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8541763Z  - 
2022-11-23T02:04:38.8541935Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8542038Z             {
2022-11-23T02:04:38.8542240Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8542481Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8542653Z                 'obj_weakref': None
2022-11-23T02:04:38.8542965Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8543138Z             }
2022-11-23T02:04:38.8543237Z             
2022-11-23T02:04:38.8543346Z  - 
2022-11-23T02:04:38.8543528Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8543606Z             {
2022-11-23T02:04:38.8543808Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8543971Z                 'code': None,
2022-11-23T02:04:38.8544376Z                 'obj_weakref': <weakref at 0x7fa531ef4c20; to 'Tensor' at 0x7fa53c395df0>
2022-11-23T02:04:38.8544722Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8544831Z             }
2022-11-23T02:04:38.8544935Z             
2022-11-23T02:04:38.8545021Z  - 
2022-11-23T02:04:38.8545193Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8545298Z             {
2022-11-23T02:04:38.8545491Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8545731Z                 'code': ['___check_obj_id(model, 140347992495952)'],
2022-11-23T02:04:38.8546041Z                 'obj_weakref': <weakref at 0x7fa531fc1580; to 'Sequential' at 0x7fa5503cd750>
2022-11-23T02:04:38.8546373Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8546473Z             }
2022-11-23T02:04:38.8546550Z             
2022-11-23T02:04:38.8546671Z  - 
2022-11-23T02:04:38.8546847Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8546957Z             {
2022-11-23T02:04:38.8547154Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8547513Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8547697Z                 'obj_weakref': None
2022-11-23T02:04:38.8547981Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8548081Z             }
2022-11-23T02:04:38.8548182Z             
2022-11-23T02:04:38.8548294Z  - 
2022-11-23T02:04:38.8548499Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8548600Z             {
2022-11-23T02:04:38.8548751Z                 'guard_types': None,
2022-11-23T02:04:38.8548906Z                 'code': None,
2022-11-23T02:04:38.8549081Z                 'obj_weakref': None
2022-11-23T02:04:38.8549255Z                 'guarded_class': None
2022-11-23T02:04:38.8549360Z             }
2022-11-23T02:04:38.8549460Z             
2022-11-23T02:04:38.8549572Z  - 
2022-11-23T02:04:38.8549753Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8549857Z             {
2022-11-23T02:04:38.8550038Z                 'guard_types': None,
2022-11-23T02:04:38.8550193Z                 'code': None,
2022-11-23T02:04:38.8550362Z                 'obj_weakref': None
2022-11-23T02:04:38.8550536Z                 'guarded_class': None
2022-11-23T02:04:38.8550637Z             }
2022-11-23T02:04:38.8550713Z             
2022-11-23T02:04:38.8551070Z [2022-11-23 01:52:47,001] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 129
2022-11-23T02:04:38.8551578Z [2022-11-23 01:52:47,019] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kv/ckvgohpiezmihgdtgqh5usbfoz5bbqqiejhr7by7s3thmxn46vpp.py
2022-11-23T02:04:38.8551941Z [2022-11-23 01:52:47,019] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 129
2022-11-23T02:04:38.8552272Z [2022-11-23 01:52:47,179] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8552704Z [2022-11-23 01:52:47,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8552992Z [2022-11-23 01:52:47,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8553335Z [2022-11-23 01:52:47,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8553705Z [2022-11-23 01:52:47,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8554125Z [2022-11-23 01:52:47,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8554583Z [2022-11-23 01:52:47,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8555069Z [2022-11-23 01:52:47,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8555412Z [2022-11-23 01:52:47,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8555735Z [2022-11-23 01:52:47,206] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8556083Z [2022-11-23 01:52:47,207] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8556429Z [2022-11-23 01:52:47,262] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8556673Z [2022-11-23 01:52:47,262] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8556868Z  __compiled_fn_131 <eval_with_key>.1175 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8557010Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8557157Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8557305Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8557326Z 
2022-11-23T02:04:38.8557822Z [2022-11-23 01:52:47,263] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8557970Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8558107Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8558216Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8558356Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8558485Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8558616Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8558735Z              12 RETURN_VALUE
2022-11-23T02:04:38.8558755Z 
2022-11-23T02:04:38.8558858Z  
2022-11-23T02:04:38.8559309Z [2022-11-23 01:52:47,263] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8559448Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_131)
2022-11-23T02:04:38.8559590Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8559730Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8559849Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8559983Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8560118Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8560237Z              12 RETURN_VALUE
2022-11-23T02:04:38.8560256Z 
2022-11-23T02:04:38.8560358Z  
2022-11-23T02:04:38.8560594Z [2022-11-23 01:52:47,264] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8560710Z  - 
2022-11-23T02:04:38.8560883Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8560985Z             {
2022-11-23T02:04:38.8561187Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8561457Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8561634Z                 'obj_weakref': None
2022-11-23T02:04:38.8561925Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8562033Z             }
2022-11-23T02:04:38.8562134Z             
2022-11-23T02:04:38.8562245Z  - 
2022-11-23T02:04:38.8562425Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8562523Z             {
2022-11-23T02:04:38.8562727Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8562862Z                 'code': None,
2022-11-23T02:04:38.8563159Z                 'obj_weakref': <weakref at 0x7fa531fc0f40; to 'Tensor' at 0x7fa61ab27560>
2022-11-23T02:04:38.8563506Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8563608Z             }
2022-11-23T02:04:38.8563773Z             
2022-11-23T02:04:38.8563891Z  - 
2022-11-23T02:04:38.8564065Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8564147Z             {
2022-11-23T02:04:38.8564339Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8564578Z                 'code': ['___check_obj_id(model, 140347486588064)'],
2022-11-23T02:04:38.8564877Z                 'obj_weakref': <weakref at 0x7fa550113970; to 'Sequential' at 0x7fa532154ca0>
2022-11-23T02:04:38.8565203Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8565305Z             }
2022-11-23T02:04:38.8565409Z             
2022-11-23T02:04:38.8565495Z  - 
2022-11-23T02:04:38.8565674Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8565778Z             {
2022-11-23T02:04:38.8565972Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8566273Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8566451Z                 'obj_weakref': None
2022-11-23T02:04:38.8566765Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8566844Z             }
2022-11-23T02:04:38.8566949Z             
2022-11-23T02:04:38.8567114Z  - 
2022-11-23T02:04:38.8567335Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8567435Z             {
2022-11-23T02:04:38.8567614Z                 'guard_types': None,
2022-11-23T02:04:38.8567769Z                 'code': None,
2022-11-23T02:04:38.8567915Z                 'obj_weakref': None
2022-11-23T02:04:38.8568089Z                 'guarded_class': None
2022-11-23T02:04:38.8568193Z             }
2022-11-23T02:04:38.8568294Z             
2022-11-23T02:04:38.8568467Z  - 
2022-11-23T02:04:38.8568669Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8568746Z             {
2022-11-23T02:04:38.8568919Z                 'guard_types': None,
2022-11-23T02:04:38.8569077Z                 'code': None,
2022-11-23T02:04:38.8569246Z                 'obj_weakref': None
2022-11-23T02:04:38.8569422Z                 'guarded_class': None
2022-11-23T02:04:38.8569525Z             }
2022-11-23T02:04:38.8569625Z             
2022-11-23T02:04:38.8569964Z [2022-11-23 01:52:47,282] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 130
2022-11-23T02:04:38.8570010Z 
2022-11-23T02:04:38.8570128Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8570236Z import torch
2022-11-23T02:04:38.8570341Z import random
2022-11-23T02:04:38.8570513Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8570690Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8570710Z 
2022-11-23T02:04:38.8570838Z aten = torch.ops.aten
2022-11-23T02:04:38.8571036Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8571151Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8571170Z 
2022-11-23T02:04:38.8571189Z 
2022-11-23T02:04:38.8571331Z async_compile.wait(globals())
2022-11-23T02:04:38.8571445Z del async_compile
2022-11-23T02:04:38.8571465Z 
2022-11-23T02:04:38.8571578Z def call(args):
2022-11-23T02:04:38.8571753Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8571873Z     args.clear()
2022-11-23T02:04:38.8572078Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T02:04:38.8572252Z     assert_size_stride(buf0, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1))
2022-11-23T02:04:38.8572337Z     del arg0_1
2022-11-23T02:04:38.8572443Z     del arg1_1
2022-11-23T02:04:38.8572546Z     del arg7_1
2022-11-23T02:04:38.8572658Z     return (buf0, )
2022-11-23T02:04:38.8572678Z 
2022-11-23T02:04:38.8572696Z 
2022-11-23T02:04:38.8572815Z if __name__ == "__main__":
2022-11-23T02:04:38.8572984Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8573165Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8573548Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8573823Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8574101Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8574366Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8574631Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8574895Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8575145Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8575470Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8575698Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8575722Z 
2022-11-23T02:04:38.8575740Z 
2022-11-23T02:04:38.8575860Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8575972Z import torch
2022-11-23T02:04:38.8576518Z import random
2022-11-23T02:04:38.8577033Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8577351Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8577378Z 
2022-11-23T02:04:38.8577569Z aten = torch.ops.aten
2022-11-23T02:04:38.8577892Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8578084Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8578146Z 
2022-11-23T02:04:38.8578165Z 
2022-11-23T02:04:38.8578382Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8578674Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8578849Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8579000Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8579104Z {
2022-11-23T02:04:38.8579252Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8579353Z     {
2022-11-23T02:04:38.8579467Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.8579593Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:38.8579697Z         {
2022-11-23T02:04:38.8579835Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T02:04:38.8579936Z             {
2022-11-23T02:04:38.8580040Z                 {
2022-11-23T02:04:38.8580149Z                     {
2022-11-23T02:04:38.8580278Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T02:04:38.8580423Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T02:04:38.8580531Z                     }
2022-11-23T02:04:38.8580629Z                 }
2022-11-23T02:04:38.8580732Z             }
2022-11-23T02:04:38.8580831Z         }
2022-11-23T02:04:38.8580906Z     }
2022-11-23T02:04:38.8581004Z }
2022-11-23T02:04:38.8581131Z ''')
2022-11-23T02:04:38.8581154Z 
2022-11-23T02:04:38.8581172Z 
2022-11-23T02:04:38.8581309Z async_compile.wait(globals())
2022-11-23T02:04:38.8581426Z del async_compile
2022-11-23T02:04:38.8581445Z 
2022-11-23T02:04:38.8581557Z def call(args):
2022-11-23T02:04:38.8581739Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8581852Z     args.clear()
2022-11-23T02:04:38.8582167Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8582362Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8582472Z     del arg7_1
2022-11-23T02:04:38.8582676Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T02:04:38.8582846Z     assert_size_stride(buf1, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1))
2022-11-23T02:04:38.8582954Z     del arg0_1
2022-11-23T02:04:38.8583063Z     del arg1_1
2022-11-23T02:04:38.8583152Z     return (buf1, )
2022-11-23T02:04:38.8583306Z 
2022-11-23T02:04:38.8583324Z 
2022-11-23T02:04:38.8583429Z if __name__ == "__main__":
2022-11-23T02:04:38.8583602Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8583788Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8584109Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8584380Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8584654Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8584919Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8585181Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8585430Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8585673Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8586058Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8586286Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8586363Z 
2022-11-23T02:04:38.8586383Z 
2022-11-23T02:04:38.8586531Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8586657Z import torch
2022-11-23T02:04:38.8586752Z import random
2022-11-23T02:04:38.8586923Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8587073Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8587092Z 
2022-11-23T02:04:38.8587214Z aten = torch.ops.aten
2022-11-23T02:04:38.8587412Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8587553Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8587572Z 
2022-11-23T02:04:38.8587590Z 
2022-11-23T02:04:38.8587726Z async_compile.wait(globals())
2022-11-23T02:04:38.8587844Z del async_compile
2022-11-23T02:04:38.8587863Z 
2022-11-23T02:04:38.8587976Z def call(args):
2022-11-23T02:04:38.8588144Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8588232Z     args.clear()
2022-11-23T02:04:38.8588435Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T02:04:38.8588608Z     assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T02:04:38.8588719Z     del arg0_1
2022-11-23T02:04:38.8588824Z     del arg1_1
2022-11-23T02:04:38.8588930Z     del arg7_1
2022-11-23T02:04:38.8589039Z     return (buf0, )
2022-11-23T02:04:38.8589059Z 
2022-11-23T02:04:38.8589077Z 
2022-11-23T02:04:38.8589170Z if __name__ == "__main__":
2022-11-23T02:04:38.8589337Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8589520Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8589830Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8590100Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8590366Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8590634Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8590897Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8591128Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8591383Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8591706Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8591932Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8591951Z 
2022-11-23T02:04:38.8592026Z 
2022-11-23T02:04:38.8592171Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8592287Z import torch
2022-11-23T02:04:38.8592398Z import random
2022-11-23T02:04:38.8592572Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8592731Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8592774Z 
2022-11-23T02:04:38.8592873Z aten = torch.ops.aten
2022-11-23T02:04:38.8593064Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8593202Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8593221Z 
2022-11-23T02:04:38.8593239Z 
2022-11-23T02:04:38.8593436Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8593721Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8593899Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8594046Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8594120Z {
2022-11-23T02:04:38.8594271Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8594366Z     {
2022-11-23T02:04:38.8594499Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.8594625Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T02:04:38.8594725Z         {
2022-11-23T02:04:38.8594934Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T02:04:38.8595019Z             {
2022-11-23T02:04:38.8595123Z                 {
2022-11-23T02:04:38.8595228Z                     {
2022-11-23T02:04:38.8595383Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T02:04:38.8595529Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T02:04:38.8595638Z                     }
2022-11-23T02:04:38.8595743Z                 }
2022-11-23T02:04:38.8595821Z             }
2022-11-23T02:04:38.8595917Z         }
2022-11-23T02:04:38.8596015Z     }
2022-11-23T02:04:38.8596110Z }
2022-11-23T02:04:38.8596238Z ''')
2022-11-23T02:04:38.8596259Z 
2022-11-23T02:04:38.8596277Z 
2022-11-23T02:04:38.8596417Z async_compile.wait(globals())
2022-11-23T02:04:38.8596539Z del async_compile
2022-11-23T02:04:38.8596558Z 
2022-11-23T02:04:38.8596645Z def call(args):
2022-11-23T02:04:38.8596825Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8596937Z     args.clear()
2022-11-23T02:04:38.8597267Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8597463Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8597573Z     del arg7_1
2022-11-23T02:04:38.8597773Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T02:04:38.8597945Z     assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T02:04:38.8598029Z     del arg0_1
2022-11-23T02:04:38.8598137Z     del arg1_1
2022-11-23T02:04:38.8598250Z     return (buf1, )
2022-11-23T02:04:38.8598269Z 
2022-11-23T02:04:38.8598287Z 
2022-11-23T02:04:38.8598409Z if __name__ == "__main__":
2022-11-23T02:04:38.8598573Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8598755Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8599062Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8599306Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8599572Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8599833Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8600096Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8600357Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8600608Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8600921Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8601291Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8601313Z 
2022-11-23T02:04:38.8601835Z [2022-11-23 01:52:47,291] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ry/cryxfqnfrvvljbyhb57zmd6c2mrrbdcvtbgtjp553v6jzx5sciq3.py
2022-11-23T02:04:38.8602182Z [2022-11-23 01:52:47,291] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 130
2022-11-23T02:04:38.8602511Z [2022-11-23 01:52:47,636] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8602937Z [2022-11-23 01:52:47,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8603243Z [2022-11-23 01:52:47,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8603576Z [2022-11-23 01:52:47,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8603946Z [2022-11-23 01:52:47,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8604469Z [2022-11-23 01:52:47,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8604934Z [2022-11-23 01:52:47,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8605360Z [2022-11-23 01:52:47,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8605695Z [2022-11-23 01:52:47,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8605995Z [2022-11-23 01:52:47,663] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8606366Z [2022-11-23 01:52:47,664] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8606712Z [2022-11-23 01:52:47,720] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8606982Z [2022-11-23 01:52:47,720] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8607180Z  __compiled_fn_132 <eval_with_key>.1186 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8607324Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8607471Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8607620Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8607641Z 
2022-11-23T02:04:38.8608094Z [2022-11-23 01:52:47,721] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8608217Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8608359Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8608490Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8608630Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8608763Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8608901Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8609023Z              12 RETURN_VALUE
2022-11-23T02:04:38.8609042Z 
2022-11-23T02:04:38.8609117Z  
2022-11-23T02:04:38.8609557Z [2022-11-23 01:52:47,721] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8609722Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_132)
2022-11-23T02:04:38.8609863Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8610003Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8610129Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8610348Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8610486Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8610579Z              12 RETURN_VALUE
2022-11-23T02:04:38.8610600Z 
2022-11-23T02:04:38.8610702Z  
2022-11-23T02:04:38.8610974Z [2022-11-23 01:52:47,722] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8611090Z  - 
2022-11-23T02:04:38.8611263Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8611369Z             {
2022-11-23T02:04:38.8611567Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8611803Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8611978Z                 'obj_weakref': None
2022-11-23T02:04:38.8612294Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8612393Z             }
2022-11-23T02:04:38.8612493Z             
2022-11-23T02:04:38.8612606Z  - 
2022-11-23T02:04:38.8612786Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8612872Z             {
2022-11-23T02:04:38.8613080Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8613237Z                 'code': None,
2022-11-23T02:04:38.8613586Z                 'obj_weakref': <weakref at 0x7fa531ef7920; to 'Tensor' at 0x7fa55016c9f0>
2022-11-23T02:04:38.8613941Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8614042Z             }
2022-11-23T02:04:38.8614144Z             
2022-11-23T02:04:38.8614232Z  - 
2022-11-23T02:04:38.8614413Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8614519Z             {
2022-11-23T02:04:38.8614712Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8614953Z                 'code': ['___check_obj_id(model, 140347486588064)'],
2022-11-23T02:04:38.8615255Z                 'obj_weakref': <weakref at 0x7fa550113970; to 'Sequential' at 0x7fa532154ca0>
2022-11-23T02:04:38.8615586Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8615669Z             }
2022-11-23T02:04:38.8615771Z             
2022-11-23T02:04:38.8615883Z  - 
2022-11-23T02:04:38.8616606Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8616829Z             {
2022-11-23T02:04:38.8617131Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8617653Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8617909Z                 'obj_weakref': None
2022-11-23T02:04:38.8618249Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8618356Z             }
2022-11-23T02:04:38.8618457Z             
2022-11-23T02:04:38.8618570Z  - 
2022-11-23T02:04:38.8618777Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8618877Z             {
2022-11-23T02:04:38.8619028Z                 'guard_types': None,
2022-11-23T02:04:38.8619190Z                 'code': None,
2022-11-23T02:04:38.8619362Z                 'obj_weakref': None
2022-11-23T02:04:38.8619541Z                 'guarded_class': None
2022-11-23T02:04:38.8619639Z             }
2022-11-23T02:04:38.8619739Z             
2022-11-23T02:04:38.8619856Z  - 
2022-11-23T02:04:38.8620041Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8620141Z             {
2022-11-23T02:04:38.8620310Z                 'guard_types': None,
2022-11-23T02:04:38.8620467Z                 'code': None,
2022-11-23T02:04:38.8620639Z                 'obj_weakref': None
2022-11-23T02:04:38.8620816Z                 'guarded_class': None
2022-11-23T02:04:38.8620892Z             }
2022-11-23T02:04:38.8620993Z             
2022-11-23T02:04:38.8621354Z [2022-11-23 01:52:47,740] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 131
2022-11-23T02:04:38.8621847Z [2022-11-23 01:52:47,758] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nx/cnxoh4ni7vubbyssla22olgi5rxzz74olstbh3mgndu556apkfjv.py
2022-11-23T02:04:38.8622400Z [2022-11-23 01:52:47,758] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 131
2022-11-23T02:04:38.8622734Z [2022-11-23 01:52:48,059] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8623222Z [2022-11-23 01:52:48,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8623527Z [2022-11-23 01:52:48,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8623862Z [2022-11-23 01:52:48,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8624209Z [2022-11-23 01:52:48,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8624647Z [2022-11-23 01:52:48,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8625105Z [2022-11-23 01:52:48,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8625603Z [2022-11-23 01:52:48,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8625958Z [2022-11-23 01:52:48,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8626285Z [2022-11-23 01:52:48,086] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8626631Z [2022-11-23 01:52:48,087] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8626979Z [2022-11-23 01:52:48,121] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8627248Z [2022-11-23 01:52:48,122] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8627442Z  __compiled_fn_133 <eval_with_key>.1197 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8627554Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8627702Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8627852Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8627875Z 
2022-11-23T02:04:38.8628318Z [2022-11-23 01:52:48,122] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8628460Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8628600Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8628732Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8628872Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8628979Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8629116Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8629236Z              12 RETURN_VALUE
2022-11-23T02:04:38.8629256Z 
2022-11-23T02:04:38.8629356Z  
2022-11-23T02:04:38.8629797Z [2022-11-23 01:52:48,122] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8629960Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_133)
2022-11-23T02:04:38.8630099Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8630210Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8630329Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8630462Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8630598Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8630714Z              12 RETURN_VALUE
2022-11-23T02:04:38.8630733Z 
2022-11-23T02:04:38.8630831Z  
2022-11-23T02:04:38.8631092Z [2022-11-23 01:52:48,123] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8631279Z  - 
2022-11-23T02:04:38.8631430Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8631539Z             {
2022-11-23T02:04:38.8631748Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8632011Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8632187Z                 'obj_weakref': None
2022-11-23T02:04:38.8632500Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8632606Z             }
2022-11-23T02:04:38.8632682Z             
2022-11-23T02:04:38.8632795Z  - 
2022-11-23T02:04:38.8632975Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8633079Z             {
2022-11-23T02:04:38.8633282Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8633438Z                 'code': None,
2022-11-23T02:04:38.8633709Z                 'obj_weakref': <weakref at 0x7fa531feccc0; to 'Tensor' at 0x7fa53214c540>
2022-11-23T02:04:38.8634063Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8634164Z             }
2022-11-23T02:04:38.8634266Z             
2022-11-23T02:04:38.8634382Z  - 
2022-11-23T02:04:38.8634607Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8634769Z             {
2022-11-23T02:04:38.8634946Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8635185Z                 'code': ['___check_obj_id(model, 140347488112352)'],
2022-11-23T02:04:38.8635486Z                 'obj_weakref': <weakref at 0x7fa531fef5b0; to 'Sequential' at 0x7fa5322c8ee0>
2022-11-23T02:04:38.8635810Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8635910Z             }
2022-11-23T02:04:38.8636011Z             
2022-11-23T02:04:38.8636121Z  - 
2022-11-23T02:04:38.8636298Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8636375Z             {
2022-11-23T02:04:38.8636574Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8636877Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8637057Z                 'obj_weakref': None
2022-11-23T02:04:38.8637369Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8637472Z             }
2022-11-23T02:04:38.8637579Z             
2022-11-23T02:04:38.8637666Z  - 
2022-11-23T02:04:38.8637875Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8637980Z             {
2022-11-23T02:04:38.8638160Z                 'guard_types': None,
2022-11-23T02:04:38.8638319Z                 'code': None,
2022-11-23T02:04:38.8638492Z                 'obj_weakref': None
2022-11-23T02:04:38.8638645Z                 'guarded_class': None
2022-11-23T02:04:38.8638748Z             }
2022-11-23T02:04:38.8638847Z             
2022-11-23T02:04:38.8638956Z  - 
2022-11-23T02:04:38.8639162Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8639267Z             {
2022-11-23T02:04:38.8639438Z                 'guard_types': None,
2022-11-23T02:04:38.8639570Z                 'code': None,
2022-11-23T02:04:38.8639744Z                 'obj_weakref': None
2022-11-23T02:04:38.8639925Z                 'guarded_class': None
2022-11-23T02:04:38.8640028Z             }
2022-11-23T02:04:38.8640123Z             
2022-11-23T02:04:38.8640482Z [2022-11-23 01:52:48,140] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 132
2022-11-23T02:04:38.8640974Z [2022-11-23 01:52:48,149] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/56/c56bzkbo6uvsrmfq7sjekl5f3rm4hxpjwquogqr6h3sm2w7deh66.py
2022-11-23T02:04:38.8641336Z [2022-11-23 01:52:48,149] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 132
2022-11-23T02:04:38.8641650Z [2022-11-23 01:52:48,241] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8642160Z [2022-11-23 01:52:48,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8642470Z [2022-11-23 01:52:48,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8642808Z [2022-11-23 01:52:48,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8643174Z [2022-11-23 01:52:48,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8643601Z [2022-11-23 01:52:48,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8644054Z [2022-11-23 01:52:48,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8644475Z [2022-11-23 01:52:48,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8644821Z [2022-11-23 01:52:48,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8645201Z [2022-11-23 01:52:48,268] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8645535Z [2022-11-23 01:52:48,270] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8645875Z [2022-11-23 01:52:48,301] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8646148Z [2022-11-23 01:52:48,302] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8646345Z  __compiled_fn_134 <eval_with_key>.1208 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8646483Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8646628Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8646783Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8646806Z 
2022-11-23T02:04:38.8647245Z [2022-11-23 01:52:48,302] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8647368Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8647504Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8647638Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8647779Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8647909Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8648049Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8648170Z              12 RETURN_VALUE
2022-11-23T02:04:38.8648190Z 
2022-11-23T02:04:38.8648263Z  
2022-11-23T02:04:38.8648697Z [2022-11-23 01:52:48,303] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8648878Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_134)
2022-11-23T02:04:38.8649016Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8649154Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8649279Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8649415Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8649552Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8649644Z              12 RETURN_VALUE
2022-11-23T02:04:38.8649664Z 
2022-11-23T02:04:38.8649761Z  
2022-11-23T02:04:38.8650019Z [2022-11-23 01:52:48,304] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8650127Z  - 
2022-11-23T02:04:38.8650307Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8650412Z             {
2022-11-23T02:04:38.8650619Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8650856Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8651110Z                 'obj_weakref': None
2022-11-23T02:04:38.8651422Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8651524Z             }
2022-11-23T02:04:38.8651632Z             
2022-11-23T02:04:38.8651742Z  - 
2022-11-23T02:04:38.8651934Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8652016Z             {
2022-11-23T02:04:38.8652220Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8652379Z                 'code': None,
2022-11-23T02:04:38.8652676Z                 'obj_weakref': <weakref at 0x7fa531fec270; to 'Tensor' at 0x7fa53c527740>
2022-11-23T02:04:38.8653025Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8653130Z             }
2022-11-23T02:04:38.8653236Z             
2022-11-23T02:04:38.8653323Z  - 
2022-11-23T02:04:38.8653493Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8653597Z             {
2022-11-23T02:04:38.8653799Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8654037Z                 'code': ['___check_obj_id(model, 140347488112352)'],
2022-11-23T02:04:38.8654341Z                 'obj_weakref': <weakref at 0x7fa531fef5b0; to 'Sequential' at 0x7fa5322c8ee0>
2022-11-23T02:04:38.8654730Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8654814Z             }
2022-11-23T02:04:38.8654916Z             
2022-11-23T02:04:38.8655028Z  - 
2022-11-23T02:04:38.8655207Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8655312Z             {
2022-11-23T02:04:38.8655506Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8655801Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8655953Z                 'obj_weakref': None
2022-11-23T02:04:38.8657284Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8657468Z             }
2022-11-23T02:04:38.8657630Z             
2022-11-23T02:04:38.8657827Z  - 
2022-11-23T02:04:38.8658174Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8658324Z             {
2022-11-23T02:04:38.8658491Z                 'guard_types': None,
2022-11-23T02:04:38.8658649Z                 'code': None,
2022-11-23T02:04:38.8658819Z                 'obj_weakref': None
2022-11-23T02:04:38.8658993Z                 'guarded_class': None
2022-11-23T02:04:38.8659094Z             }
2022-11-23T02:04:38.8659194Z             
2022-11-23T02:04:38.8659303Z  - 
2022-11-23T02:04:38.8659484Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8659586Z             {
2022-11-23T02:04:38.8659759Z                 'guard_types': None,
2022-11-23T02:04:38.8659918Z                 'code': None,
2022-11-23T02:04:38.8660095Z                 'obj_weakref': None
2022-11-23T02:04:38.8660270Z                 'guarded_class': None
2022-11-23T02:04:38.8660377Z             }
2022-11-23T02:04:38.8660454Z             
2022-11-23T02:04:38.8660820Z [2022-11-23 01:52:48,322] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 133
2022-11-23T02:04:38.8661314Z [2022-11-23 01:52:48,339] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3o/c3o322k4q73mxgpgmyzlxmkjrkxjmegmwry2miq6pn6xjr3bg2nh.py
2022-11-23T02:04:38.8661676Z [2022-11-23 01:52:48,340] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 133
2022-11-23T02:04:38.8662002Z [2022-11-23 01:52:48,466] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8662431Z [2022-11-23 01:52:48,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8662732Z [2022-11-23 01:52:48,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8663060Z [2022-11-23 01:52:48,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8663649Z [2022-11-23 01:52:48,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8664054Z [2022-11-23 01:52:48,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8664510Z [2022-11-23 01:52:48,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8664936Z [2022-11-23 01:52:48,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8665273Z [2022-11-23 01:52:48,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8665594Z [2022-11-23 01:52:48,493] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8665944Z [2022-11-23 01:52:48,494] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8666367Z [2022-11-23 01:52:48,549] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8666639Z [2022-11-23 01:52:48,549] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8666835Z  __compiled_fn_135 <eval_with_key>.1219 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8666947Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8667095Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8667241Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8667267Z 
2022-11-23T02:04:38.8667709Z [2022-11-23 01:52:48,550] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8667851Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8667993Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8668125Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8668265Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8668377Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8668514Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8668633Z              12 RETURN_VALUE
2022-11-23T02:04:38.8668652Z 
2022-11-23T02:04:38.8668750Z  
2022-11-23T02:04:38.8669189Z [2022-11-23 01:52:48,550] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8669350Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_135)
2022-11-23T02:04:38.8669486Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8669624Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8669720Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8669855Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8669994Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8670112Z              12 RETURN_VALUE
2022-11-23T02:04:38.8670132Z 
2022-11-23T02:04:38.8670228Z  
2022-11-23T02:04:38.8670493Z [2022-11-23 01:52:48,551] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8670605Z  - 
2022-11-23T02:04:38.8670754Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8670856Z             {
2022-11-23T02:04:38.8671052Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8671317Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8671490Z                 'obj_weakref': None
2022-11-23T02:04:38.8671800Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8671906Z             }
2022-11-23T02:04:38.8671982Z             
2022-11-23T02:04:38.8672093Z  - 
2022-11-23T02:04:38.8672272Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8672440Z             {
2022-11-23T02:04:38.8672647Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8672803Z                 'code': None,
2022-11-23T02:04:38.8673099Z                 'obj_weakref': <weakref at 0x7fa531e87100; to 'Tensor' at 0x7fa53210bab0>
2022-11-23T02:04:38.8673420Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8673522Z             }
2022-11-23T02:04:38.8673625Z             
2022-11-23T02:04:38.8673739Z  - 
2022-11-23T02:04:38.8673914Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8674017Z             {
2022-11-23T02:04:38.8674215Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8674431Z                 'code': ['___check_obj_id(model, 140347656950864)'],
2022-11-23T02:04:38.8674738Z                 'obj_weakref': <weakref at 0x7fa531fee4d0; to 'Sequential' at 0x7fa53c3cd450>
2022-11-23T02:04:38.8675069Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8675170Z             }
2022-11-23T02:04:38.8675272Z             
2022-11-23T02:04:38.8675384Z  - 
2022-11-23T02:04:38.8675560Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8675739Z             {
2022-11-23T02:04:38.8675944Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8676247Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8676420Z                 'obj_weakref': None
2022-11-23T02:04:38.8676725Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8676827Z             }
2022-11-23T02:04:38.8676929Z             
2022-11-23T02:04:38.8677016Z  - 
2022-11-23T02:04:38.8677220Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8677321Z             {
2022-11-23T02:04:38.8677495Z                 'guard_types': None,
2022-11-23T02:04:38.8677658Z                 'code': None,
2022-11-23T02:04:38.8677829Z                 'obj_weakref': None
2022-11-23T02:04:38.8678002Z                 'guarded_class': None
2022-11-23T02:04:38.8678080Z             }
2022-11-23T02:04:38.8678180Z             
2022-11-23T02:04:38.8678289Z  - 
2022-11-23T02:04:38.8678497Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8678601Z             {
2022-11-23T02:04:38.8678771Z                 'guard_types': None,
2022-11-23T02:04:38.8678905Z                 'code': None,
2022-11-23T02:04:38.8679082Z                 'obj_weakref': None
2022-11-23T02:04:38.8679262Z                 'guarded_class': None
2022-11-23T02:04:38.8679362Z             }
2022-11-23T02:04:38.8679458Z             
2022-11-23T02:04:38.8679818Z [2022-11-23 01:52:48,568] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 134
2022-11-23T02:04:38.8679839Z 
2022-11-23T02:04:38.8679976Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8680093Z import torch
2022-11-23T02:04:38.8680181Z import random
2022-11-23T02:04:38.8680348Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8680527Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8680547Z 
2022-11-23T02:04:38.8680669Z aten = torch.ops.aten
2022-11-23T02:04:38.8680871Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8681011Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8681030Z 
2022-11-23T02:04:38.8681050Z 
2022-11-23T02:04:38.8681189Z async_compile.wait(globals())
2022-11-23T02:04:38.8681278Z del async_compile
2022-11-23T02:04:38.8681320Z 
2022-11-23T02:04:38.8681411Z def call(args):
2022-11-23T02:04:38.8681580Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8681694Z     args.clear()
2022-11-23T02:04:38.8681895Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T02:04:38.8682067Z     assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T02:04:38.8682248Z     del arg0_1
2022-11-23T02:04:38.8682356Z     del arg1_1
2022-11-23T02:04:38.8682437Z     del arg7_1
2022-11-23T02:04:38.8682551Z     return (buf0, )
2022-11-23T02:04:38.8682571Z 
2022-11-23T02:04:38.8682594Z 
2022-11-23T02:04:38.8682712Z if __name__ == "__main__":
2022-11-23T02:04:38.8682882Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8683059Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8683378Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8683651Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8683919Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8684162Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8684423Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8684691Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8684938Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8685328Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8685565Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8685585Z 
2022-11-23T02:04:38.8685603Z 
2022-11-23T02:04:38.8685745Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8685860Z import torch
2022-11-23T02:04:38.8685947Z import random
2022-11-23T02:04:38.8686220Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8686404Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8686423Z 
2022-11-23T02:04:38.8686543Z aten = torch.ops.aten
2022-11-23T02:04:38.8686739Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8686884Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8686903Z 
2022-11-23T02:04:38.8686922Z 
2022-11-23T02:04:38.8687124Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8687413Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8687564Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8687713Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8687811Z {
2022-11-23T02:04:38.8687955Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8688057Z     {
2022-11-23T02:04:38.8688199Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.8688329Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:38.8688408Z         {
2022-11-23T02:04:38.8688543Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T02:04:38.8688647Z             {
2022-11-23T02:04:38.8688746Z                 {
2022-11-23T02:04:38.8688859Z                     {
2022-11-23T02:04:38.8689015Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T02:04:38.8689164Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T02:04:38.8689246Z                     }
2022-11-23T02:04:38.8689355Z                 }
2022-11-23T02:04:38.8689460Z             }
2022-11-23T02:04:38.8689565Z         }
2022-11-23T02:04:38.8689662Z     }
2022-11-23T02:04:38.8689759Z }
2022-11-23T02:04:38.8689863Z ''')
2022-11-23T02:04:38.8689911Z 
2022-11-23T02:04:38.8689930Z 
2022-11-23T02:04:38.8690045Z async_compile.wait(globals())
2022-11-23T02:04:38.8690158Z del async_compile
2022-11-23T02:04:38.8690177Z 
2022-11-23T02:04:38.8690289Z def call(args):
2022-11-23T02:04:38.8690460Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8690573Z     args.clear()
2022-11-23T02:04:38.8690901Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8691180Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8691264Z     del arg7_1
2022-11-23T02:04:38.8691466Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T02:04:38.8691640Z     assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T02:04:38.8691753Z     del arg0_1
2022-11-23T02:04:38.8691858Z     del arg1_1
2022-11-23T02:04:38.8691971Z     return (buf1, )
2022-11-23T02:04:38.8691990Z 
2022-11-23T02:04:38.8692009Z 
2022-11-23T02:04:38.8692125Z if __name__ == "__main__":
2022-11-23T02:04:38.8692291Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8692444Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8692755Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8693033Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8693305Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8693574Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8693904Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8694172Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8694427Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8694725Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8694950Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8694969Z 
2022-11-23T02:04:38.8694987Z 
2022-11-23T02:04:38.8695134Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8695246Z import torch
2022-11-23T02:04:38.8695356Z import random
2022-11-23T02:04:38.8695535Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8695708Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8695727Z 
2022-11-23T02:04:38.8695852Z aten = torch.ops.aten
2022-11-23T02:04:38.8696416Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8696704Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8696732Z 
2022-11-23T02:04:38.8696758Z 
2022-11-23T02:04:38.8696975Z async_compile.wait(globals())
2022-11-23T02:04:38.8697166Z del async_compile
2022-11-23T02:04:38.8697196Z 
2022-11-23T02:04:38.8697370Z def call(args):
2022-11-23T02:04:38.8697652Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8697833Z     args.clear()
2022-11-23T02:04:38.8698159Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T02:04:38.8698314Z     assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T02:04:38.8698429Z     del arg0_1
2022-11-23T02:04:38.8698538Z     del arg1_1
2022-11-23T02:04:38.8698639Z     del arg7_1
2022-11-23T02:04:38.8698753Z     return (buf0, )
2022-11-23T02:04:38.8698772Z 
2022-11-23T02:04:38.8698791Z 
2022-11-23T02:04:38.8698912Z if __name__ == "__main__":
2022-11-23T02:04:38.8699083Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8699240Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8699578Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8699844Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8700107Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8700369Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8700633Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8701056Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8701307Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8701636Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8701833Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8701852Z 
2022-11-23T02:04:38.8701894Z 
2022-11-23T02:04:38.8702012Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8702124Z import torch
2022-11-23T02:04:38.8702236Z import random
2022-11-23T02:04:38.8702409Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8702586Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8702605Z 
2022-11-23T02:04:38.8702728Z aten = torch.ops.aten
2022-11-23T02:04:38.8702919Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8703038Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8703058Z 
2022-11-23T02:04:38.8703077Z 
2022-11-23T02:04:38.8703273Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8703557Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8703811Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8703969Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8704067Z {
2022-11-23T02:04:38.8704216Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8704290Z     {
2022-11-23T02:04:38.8704432Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.8704560Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T02:04:38.8704662Z         {
2022-11-23T02:04:38.8704798Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T02:04:38.8704897Z             {
2022-11-23T02:04:38.8705001Z                 {
2022-11-23T02:04:38.8705082Z                     {
2022-11-23T02:04:38.8705235Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T02:04:38.8705389Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T02:04:38.8705490Z                     }
2022-11-23T02:04:38.8705595Z                 }
2022-11-23T02:04:38.8705694Z             }
2022-11-23T02:04:38.8705801Z         }
2022-11-23T02:04:38.8705876Z     }
2022-11-23T02:04:38.8705968Z }
2022-11-23T02:04:38.8706099Z ''')
2022-11-23T02:04:38.8706118Z 
2022-11-23T02:04:38.8706137Z 
2022-11-23T02:04:38.8706274Z async_compile.wait(globals())
2022-11-23T02:04:38.8706392Z del async_compile
2022-11-23T02:04:38.8706411Z 
2022-11-23T02:04:38.8706520Z def call(args):
2022-11-23T02:04:38.8706693Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8706781Z     args.clear()
2022-11-23T02:04:38.8707112Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8707302Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8707417Z     del arg7_1
2022-11-23T02:04:38.8707621Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T02:04:38.8707792Z     assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T02:04:38.8707900Z     del arg0_1
2022-11-23T02:04:38.8708007Z     del arg1_1
2022-11-23T02:04:38.8708095Z     return (buf1, )
2022-11-23T02:04:38.8708116Z 
2022-11-23T02:04:38.8708134Z 
2022-11-23T02:04:38.8708252Z if __name__ == "__main__":
2022-11-23T02:04:38.8708418Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8708603Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8708906Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8709171Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8709439Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8709780Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8710017Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8710277Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8710527Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8710845Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8711071Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8711091Z 
2022-11-23T02:04:38.8711602Z [2022-11-23 01:52:48,577] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mo/cmosqlnk7cqasnwwejgosx6scyzawgxxb2pev5kvplvmeihyx457.py
2022-11-23T02:04:38.8711972Z [2022-11-23 01:52:48,578] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 134
2022-11-23T02:04:38.8712307Z [2022-11-23 01:52:48,924] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8712844Z [2022-11-23 01:52:48,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8713129Z [2022-11-23 01:52:48,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8713466Z [2022-11-23 01:52:48,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8713830Z [2022-11-23 01:52:48,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8714261Z [2022-11-23 01:52:48,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8714716Z [2022-11-23 01:52:48,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8715145Z [2022-11-23 01:52:48,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8715485Z [2022-11-23 01:52:48,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8715813Z [2022-11-23 01:52:48,951] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8716164Z [2022-11-23 01:52:48,952] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8716511Z [2022-11-23 01:52:49,007] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8716752Z [2022-11-23 01:52:49,008] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8716946Z  __compiled_fn_136 <eval_with_key>.1230 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8717083Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8717235Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8717385Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8717404Z 
2022-11-23T02:04:38.8717851Z [2022-11-23 01:52:49,008] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8717997Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8718136Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8718244Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8718385Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8718517Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8718656Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8718774Z              12 RETURN_VALUE
2022-11-23T02:04:38.8718793Z 
2022-11-23T02:04:38.8718892Z  
2022-11-23T02:04:38.8719402Z [2022-11-23 01:52:49,008] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8719566Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_136)
2022-11-23T02:04:38.8719683Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8719823Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8719941Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8720074Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8720207Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8720325Z              12 RETURN_VALUE
2022-11-23T02:04:38.8720343Z 
2022-11-23T02:04:38.8720436Z  
2022-11-23T02:04:38.8720678Z [2022-11-23 01:52:49,010] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8720790Z  - 
2022-11-23T02:04:38.8720966Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8721073Z             {
2022-11-23T02:04:38.8721273Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8721540Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8721710Z                 'obj_weakref': None
2022-11-23T02:04:38.8722045Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8722153Z             }
2022-11-23T02:04:38.8722254Z             
2022-11-23T02:04:38.8722371Z  - 
2022-11-23T02:04:38.8722552Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8722658Z             {
2022-11-23T02:04:38.8722865Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8722999Z                 'code': None,
2022-11-23T02:04:38.8723297Z                 'obj_weakref': <weakref at 0x7fa531ef7b00; to 'Tensor' at 0x7fa53c3958a0>
2022-11-23T02:04:38.8723643Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8723750Z             }
2022-11-23T02:04:38.8723858Z             
2022-11-23T02:04:38.8723970Z  - 
2022-11-23T02:04:38.8724144Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8724221Z             {
2022-11-23T02:04:38.8724415Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8724658Z                 'code': ['___check_obj_id(model, 140347656950864)'],
2022-11-23T02:04:38.8724963Z                 'obj_weakref': <weakref at 0x7fa531fee4d0; to 'Sequential' at 0x7fa53c3cd450>
2022-11-23T02:04:38.8725295Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8725397Z             }
2022-11-23T02:04:38.8725501Z             
2022-11-23T02:04:38.8725588Z  - 
2022-11-23T02:04:38.8725765Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8725862Z             {
2022-11-23T02:04:38.8726059Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8726359Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8726654Z                 'obj_weakref': None
2022-11-23T02:04:38.8726969Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8727047Z             }
2022-11-23T02:04:38.8727152Z             
2022-11-23T02:04:38.8727265Z  - 
2022-11-23T02:04:38.8727479Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8727580Z             {
2022-11-23T02:04:38.8727759Z                 'guard_types': None,
2022-11-23T02:04:38.8727916Z                 'code': None,
2022-11-23T02:04:38.8728062Z                 'obj_weakref': None
2022-11-23T02:04:38.8728237Z                 'guarded_class': None
2022-11-23T02:04:38.8728339Z             }
2022-11-23T02:04:38.8728441Z             
2022-11-23T02:04:38.8728568Z  - 
2022-11-23T02:04:38.8728773Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8728874Z             {
2022-11-23T02:04:38.8729080Z                 'guard_types': None,
2022-11-23T02:04:38.8729304Z                 'code': None,
2022-11-23T02:04:38.8729476Z                 'obj_weakref': None
2022-11-23T02:04:38.8729649Z                 'guarded_class': None
2022-11-23T02:04:38.8729750Z             }
2022-11-23T02:04:38.8729853Z             
2022-11-23T02:04:38.8730200Z [2022-11-23 01:52:49,028] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 135
2022-11-23T02:04:38.8730704Z [2022-11-23 01:52:49,046] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h6/ch6f2afdk6bhhb2epsz7khzm5noxws2ijsuxnstonx452dxtfyot.py
2022-11-23T02:04:38.8731067Z [2022-11-23 01:52:49,047] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 135
2022-11-23T02:04:38.8731395Z [2022-11-23 01:52:49,375] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8731822Z [2022-11-23 01:52:49,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8732137Z [2022-11-23 01:52:49,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8732474Z [2022-11-23 01:52:49,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8732907Z [2022-11-23 01:52:49,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8733344Z [2022-11-23 01:52:49,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8733808Z [2022-11-23 01:52:49,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8734215Z [2022-11-23 01:52:49,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8734556Z [2022-11-23 01:52:49,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8734889Z [2022-11-23 01:52:49,401] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8735243Z [2022-11-23 01:52:49,402] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8735590Z [2022-11-23 01:52:49,445] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8735857Z [2022-11-23 01:52:49,446] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8736468Z  __compiled_fn_137 <eval_with_key>.1241 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8736690Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8736935Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8737150Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8737180Z 
2022-11-23T02:04:38.8737928Z [2022-11-23 01:52:49,446] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8738093Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8738232Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8738370Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8738514Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8738647Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8738786Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8738880Z              12 RETURN_VALUE
2022-11-23T02:04:38.8738900Z 
2022-11-23T02:04:38.8739002Z  
2022-11-23T02:04:38.8739445Z [2022-11-23 01:52:49,446] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8739605Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_137)
2022-11-23T02:04:38.8739740Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8740062Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8740181Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8740289Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8740425Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8740546Z              12 RETURN_VALUE
2022-11-23T02:04:38.8740565Z 
2022-11-23T02:04:38.8740661Z  
2022-11-23T02:04:38.8740923Z [2022-11-23 01:52:49,448] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8741037Z  - 
2022-11-23T02:04:38.8741207Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8741287Z             {
2022-11-23T02:04:38.8741488Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8741750Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8741925Z                 'obj_weakref': None
2022-11-23T02:04:38.8742236Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8742343Z             }
2022-11-23T02:04:38.8742443Z             
2022-11-23T02:04:38.8742529Z  - 
2022-11-23T02:04:38.8742714Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8742818Z             {
2022-11-23T02:04:38.8743156Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8743326Z                 'code': None,
2022-11-23T02:04:38.8743622Z                 'obj_weakref': <weakref at 0x7fa531f7ef70; to 'Tensor' at 0x7fa53c3aa4d0>
2022-11-23T02:04:38.8743969Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8744071Z             }
2022-11-23T02:04:38.8744148Z             
2022-11-23T02:04:38.8744258Z  - 
2022-11-23T02:04:38.8744432Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8744537Z             {
2022-11-23T02:04:38.8744731Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8744967Z                 'code': ['___check_obj_id(model, 140347486986944)'],
2022-11-23T02:04:38.8745275Z                 'obj_weakref': <weakref at 0x7fa531f7c400; to 'Sequential' at 0x7fa5321b62c0>
2022-11-23T02:04:38.8745576Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8745679Z             }
2022-11-23T02:04:38.8745787Z             
2022-11-23T02:04:38.8745898Z  - 
2022-11-23T02:04:38.8746081Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8746181Z             {
2022-11-23T02:04:38.8746352Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8746653Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8746834Z                 'obj_weakref': None
2022-11-23T02:04:38.8747143Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8747245Z             }
2022-11-23T02:04:38.8747345Z             
2022-11-23T02:04:38.8747454Z  - 
2022-11-23T02:04:38.8747663Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8747740Z             {
2022-11-23T02:04:38.8747912Z                 'guard_types': None,
2022-11-23T02:04:38.8748075Z                 'code': None,
2022-11-23T02:04:38.8748245Z                 'obj_weakref': None
2022-11-23T02:04:38.8748428Z                 'guarded_class': None
2022-11-23T02:04:38.8748531Z             }
2022-11-23T02:04:38.8748607Z             
2022-11-23T02:04:38.8748716Z  - 
2022-11-23T02:04:38.8748924Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8749024Z             {
2022-11-23T02:04:38.8749202Z                 'guard_types': None,
2022-11-23T02:04:38.8749362Z                 'code': None,
2022-11-23T02:04:38.8749532Z                 'obj_weakref': None
2022-11-23T02:04:38.8749683Z                 'guarded_class': None
2022-11-23T02:04:38.8749786Z             }
2022-11-23T02:04:38.8749885Z             
2022-11-23T02:04:38.8750243Z [2022-11-23 01:52:49,465] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 136
2022-11-23T02:04:38.8750807Z [2022-11-23 01:52:49,473] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ps/cps2wgjnzsis5cucfgvykq4vtngasrlhca36hb5lbgqitxhadpif.py
2022-11-23T02:04:38.8751174Z [2022-11-23 01:52:49,474] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 136
2022-11-23T02:04:38.8751504Z [2022-11-23 01:52:49,564] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8751934Z [2022-11-23 01:52:49,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8752214Z [2022-11-23 01:52:49,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8752545Z [2022-11-23 01:52:49,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8752912Z [2022-11-23 01:52:49,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8753347Z [2022-11-23 01:52:49,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8753948Z [2022-11-23 01:52:49,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8754390Z [2022-11-23 01:52:49,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8754729Z [2022-11-23 01:52:49,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8755055Z [2022-11-23 01:52:49,591] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8755403Z [2022-11-23 01:52:49,593] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8755757Z [2022-11-23 01:52:49,634] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8755998Z [2022-11-23 01:52:49,634] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8756195Z  __compiled_fn_138 <eval_with_key>.1252 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8756334Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8756487Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8756638Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8756659Z 
2022-11-23T02:04:38.8757102Z [2022-11-23 01:52:49,635] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8757248Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8757389Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8757498Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8757645Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8757778Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8757914Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8758036Z              12 RETURN_VALUE
2022-11-23T02:04:38.8758060Z 
2022-11-23T02:04:38.8758162Z  
2022-11-23T02:04:38.8758601Z [2022-11-23 01:52:49,635] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8758762Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_138)
2022-11-23T02:04:38.8758880Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8759017Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8759136Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8759267Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8759400Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8759516Z              12 RETURN_VALUE
2022-11-23T02:04:38.8759611Z 
2022-11-23T02:04:38.8759716Z  
2022-11-23T02:04:38.8759958Z [2022-11-23 01:52:49,636] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8760069Z  - 
2022-11-23T02:04:38.8760241Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8760347Z             {
2022-11-23T02:04:38.8760554Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8760822Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8760998Z                 'obj_weakref': None
2022-11-23T02:04:38.8761287Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8761392Z             }
2022-11-23T02:04:38.8761494Z             
2022-11-23T02:04:38.8761600Z  - 
2022-11-23T02:04:38.8761782Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8761882Z             {
2022-11-23T02:04:38.8762085Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8762221Z                 'code': None,
2022-11-23T02:04:38.8762524Z                 'obj_weakref': <weakref at 0x7fa531fc2ed0; to 'Tensor' at 0x7fa53c48c9f0>
2022-11-23T02:04:38.8762876Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8763036Z             }
2022-11-23T02:04:38.8763139Z             
2022-11-23T02:04:38.8763261Z  - 
2022-11-23T02:04:38.8763439Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8763517Z             {
2022-11-23T02:04:38.8763710Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8763950Z                 'code': ['___check_obj_id(model, 140347486986944)'],
2022-11-23T02:04:38.8764250Z                 'obj_weakref': <weakref at 0x7fa531f7c400; to 'Sequential' at 0x7fa5321b62c0>
2022-11-23T02:04:38.8764583Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8764687Z             }
2022-11-23T02:04:38.8764793Z             
2022-11-23T02:04:38.8764885Z  - 
2022-11-23T02:04:38.8765067Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8765167Z             {
2022-11-23T02:04:38.8765364Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8765673Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8765852Z                 'obj_weakref': None
2022-11-23T02:04:38.8766166Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8766243Z             }
2022-11-23T02:04:38.8766350Z             
2022-11-23T02:04:38.8766461Z  - 
2022-11-23T02:04:38.8766673Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8766774Z             {
2022-11-23T02:04:38.8766945Z                 'guard_types': None,
2022-11-23T02:04:38.8767104Z                 'code': None,
2022-11-23T02:04:38.8767255Z                 'obj_weakref': None
2022-11-23T02:04:38.8767429Z                 'guarded_class': None
2022-11-23T02:04:38.8767537Z             }
2022-11-23T02:04:38.8767641Z             
2022-11-23T02:04:38.8767748Z  - 
2022-11-23T02:04:38.8767954Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8768053Z             {
2022-11-23T02:04:38.8768207Z                 'guard_types': None,
2022-11-23T02:04:38.8768364Z                 'code': None,
2022-11-23T02:04:38.8768530Z                 'obj_weakref': None
2022-11-23T02:04:38.8768707Z                 'guarded_class': None
2022-11-23T02:04:38.8768804Z             }
2022-11-23T02:04:38.8768909Z             
2022-11-23T02:04:38.8769268Z [2022-11-23 01:52:49,654] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 137
2022-11-23T02:04:38.8769742Z [2022-11-23 01:52:49,672] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m6/cm6bd5gb6prpurrnpvp6tq263bhyhsw2hmpialipuhpdkzqj64ex.py
2022-11-23T02:04:38.8770109Z [2022-11-23 01:52:49,672] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 137
2022-11-23T02:04:38.8770520Z [2022-11-23 01:52:49,810] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8770953Z [2022-11-23 01:52:49,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8771255Z [2022-11-23 01:52:49,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8771590Z [2022-11-23 01:52:49,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8771956Z [2022-11-23 01:52:49,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8772380Z [2022-11-23 01:52:49,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8772837Z [2022-11-23 01:52:49,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8773272Z [2022-11-23 01:52:49,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8773648Z [2022-11-23 01:52:49,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8773981Z [2022-11-23 01:52:49,836] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8774337Z [2022-11-23 01:52:49,838] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8774685Z [2022-11-23 01:52:49,904] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8774951Z [2022-11-23 01:52:49,905] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8775148Z  __compiled_fn_139 <eval_with_key>.1263 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8775288Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8775440Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8775565Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8775586Z 
2022-11-23T02:04:38.8776439Z [2022-11-23 01:52:49,905] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8776709Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8776927Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8777132Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8777350Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8777565Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8777785Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8777943Z              12 RETURN_VALUE
2022-11-23T02:04:38.8777972Z 
2022-11-23T02:04:38.8778128Z  
2022-11-23T02:04:38.8778602Z [2022-11-23 01:52:49,906] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8778762Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_139)
2022-11-23T02:04:38.8778902Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8779041Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8779160Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8779297Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8779412Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8779528Z              12 RETURN_VALUE
2022-11-23T02:04:38.8779547Z 
2022-11-23T02:04:38.8779648Z  
2022-11-23T02:04:38.8779908Z [2022-11-23 01:52:49,907] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8780023Z  - 
2022-11-23T02:04:38.8780197Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8780305Z             {
2022-11-23T02:04:38.8780482Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8780927Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8781105Z                 'obj_weakref': None
2022-11-23T02:04:38.8781422Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8781526Z             }
2022-11-23T02:04:38.8781631Z             
2022-11-23T02:04:38.8781740Z  - 
2022-11-23T02:04:38.8781897Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8781998Z             {
2022-11-23T02:04:38.8782200Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8782365Z                 'code': None,
2022-11-23T02:04:38.8782654Z                 'obj_weakref': <weakref at 0x7fa531eb3510; to 'Tensor' at 0x7fa53c475f80>
2022-11-23T02:04:38.8782997Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8783100Z             }
2022-11-23T02:04:38.8783182Z             
2022-11-23T02:04:38.8783287Z  - 
2022-11-23T02:04:38.8783467Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8783569Z             {
2022-11-23T02:04:38.8783765Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8784086Z                 'code': ['___check_obj_id(model, 140347992500224)'],
2022-11-23T02:04:38.8784468Z                 'obj_weakref': <weakref at 0x7fa531f7e480; to 'Sequential' at 0x7fa5503ce800>
2022-11-23T02:04:38.8784777Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8784884Z             }
2022-11-23T02:04:38.8784983Z             
2022-11-23T02:04:38.8785092Z  - 
2022-11-23T02:04:38.8785265Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8785369Z             {
2022-11-23T02:04:38.8785565Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8785840Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8786020Z                 'obj_weakref': None
2022-11-23T02:04:38.8786395Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8786499Z             }
2022-11-23T02:04:38.8786595Z             
2022-11-23T02:04:38.8786709Z  - 
2022-11-23T02:04:38.8786916Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8786993Z             {
2022-11-23T02:04:38.8787168Z                 'guard_types': None,
2022-11-23T02:04:38.8787326Z                 'code': None,
2022-11-23T02:04:38.8787500Z                 'obj_weakref': None
2022-11-23T02:04:38.8787679Z                 'guarded_class': None
2022-11-23T02:04:38.8787779Z             }
2022-11-23T02:04:38.8787878Z             
2022-11-23T02:04:38.8787965Z  - 
2022-11-23T02:04:38.8788170Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8788271Z             {
2022-11-23T02:04:38.8788451Z                 'guard_types': None,
2022-11-23T02:04:38.8788613Z                 'code': None,
2022-11-23T02:04:38.8788784Z                 'obj_weakref': None
2022-11-23T02:04:38.8788937Z                 'guarded_class': None
2022-11-23T02:04:38.8789041Z             }
2022-11-23T02:04:38.8789140Z             
2022-11-23T02:04:38.8789504Z [2022-11-23 01:52:49,924] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 138
2022-11-23T02:04:38.8789525Z 
2022-11-23T02:04:38.8789670Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8789782Z import torch
2022-11-23T02:04:38.8789899Z import random
2022-11-23T02:04:38.8790042Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8790215Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8790235Z 
2022-11-23T02:04:38.8790353Z aten = torch.ops.aten
2022-11-23T02:04:38.8790544Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8790685Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8790704Z 
2022-11-23T02:04:38.8790789Z 
2022-11-23T02:04:38.8790931Z async_compile.wait(globals())
2022-11-23T02:04:38.8791044Z del async_compile
2022-11-23T02:04:38.8791063Z 
2022-11-23T02:04:38.8791179Z def call(args):
2022-11-23T02:04:38.8791353Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8791448Z     args.clear()
2022-11-23T02:04:38.8791649Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T02:04:38.8791826Z     assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T02:04:38.8791933Z     del arg0_1
2022-11-23T02:04:38.8792039Z     del arg1_1
2022-11-23T02:04:38.8792140Z     del arg7_1
2022-11-23T02:04:38.8792251Z     return (buf0, )
2022-11-23T02:04:38.8792270Z 
2022-11-23T02:04:38.8792289Z 
2022-11-23T02:04:38.8792383Z if __name__ == "__main__":
2022-11-23T02:04:38.8792550Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8792728Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8793043Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8793316Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8793644Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8793916Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8794180Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8794416Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8794669Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8794998Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8795222Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8795246Z 
2022-11-23T02:04:38.8795265Z 
2022-11-23T02:04:38.8795410Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8795521Z import torch
2022-11-23T02:04:38.8795631Z import random
2022-11-23T02:04:38.8795804Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8795957Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8795976Z 
2022-11-23T02:04:38.8796097Z aten = torch.ops.aten
2022-11-23T02:04:38.8796291Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8796429Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8796448Z 
2022-11-23T02:04:38.8796466Z 
2022-11-23T02:04:38.8796665Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8796948Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8797121Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8797271Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8797349Z {
2022-11-23T02:04:38.8797499Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8797599Z     {
2022-11-23T02:04:38.8797738Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.8797863Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:38.8797967Z         {
2022-11-23T02:04:38.8798101Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T02:04:38.8798179Z             {
2022-11-23T02:04:38.8798275Z                 {
2022-11-23T02:04:38.8798374Z                     {
2022-11-23T02:04:38.8798523Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T02:04:38.8798664Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T02:04:38.8798764Z                     }
2022-11-23T02:04:38.8798860Z                 }
2022-11-23T02:04:38.8798937Z             }
2022-11-23T02:04:38.8799033Z         }
2022-11-23T02:04:38.8799127Z     }
2022-11-23T02:04:38.8799218Z }
2022-11-23T02:04:38.8799340Z ''')
2022-11-23T02:04:38.8799415Z 
2022-11-23T02:04:38.8799433Z 
2022-11-23T02:04:38.8799572Z async_compile.wait(globals())
2022-11-23T02:04:38.8799679Z del async_compile
2022-11-23T02:04:38.8799698Z 
2022-11-23T02:04:38.8799786Z def call(args):
2022-11-23T02:04:38.8799958Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8800067Z     args.clear()
2022-11-23T02:04:38.8800395Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8800587Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8800690Z     del arg7_1
2022-11-23T02:04:38.8800885Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T02:04:38.8801034Z     assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T02:04:38.8801136Z     del arg0_1
2022-11-23T02:04:38.8801236Z     del arg1_1
2022-11-23T02:04:38.8801349Z     return (buf1, )
2022-11-23T02:04:38.8801372Z 
2022-11-23T02:04:38.8801390Z 
2022-11-23T02:04:38.8801507Z if __name__ == "__main__":
2022-11-23T02:04:38.8801671Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8801844Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8802197Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8802454Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8802717Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8802976Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8803234Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8803491Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8803735Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8804055Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8804275Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8804300Z 
2022-11-23T02:04:38.8804319Z 
2022-11-23T02:04:38.8804454Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8804540Z import torch
2022-11-23T02:04:38.8804646Z import random
2022-11-23T02:04:38.8804808Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8804977Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8804997Z 
2022-11-23T02:04:38.8805111Z aten = torch.ops.aten
2022-11-23T02:04:38.8805298Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8805432Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8805452Z 
2022-11-23T02:04:38.8805471Z 
2022-11-23T02:04:38.8805599Z async_compile.wait(globals())
2022-11-23T02:04:38.8805693Z del async_compile
2022-11-23T02:04:38.8805712Z 
2022-11-23T02:04:38.8805818Z def call(args):
2022-11-23T02:04:38.8805987Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8806098Z     args.clear()
2022-11-23T02:04:38.8806298Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T02:04:38.8806467Z     assert_size_stride(buf0, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1))
2022-11-23T02:04:38.8806569Z     del arg0_1
2022-11-23T02:04:38.8806652Z     del arg1_1
2022-11-23T02:04:38.8806753Z     del arg7_1
2022-11-23T02:04:38.8806859Z     return (buf0, )
2022-11-23T02:04:38.8806878Z 
2022-11-23T02:04:38.8806897Z 
2022-11-23T02:04:38.8807006Z if __name__ == "__main__":
2022-11-23T02:04:38.8807166Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8807344Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8807751Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8808096Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8808337Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8808599Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8808855Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8809108Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8809351Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8809667Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8809884Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8809903Z 
2022-11-23T02:04:38.8809925Z 
2022-11-23T02:04:38.8810061Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8810147Z import torch
2022-11-23T02:04:38.8810255Z import random
2022-11-23T02:04:38.8810417Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8810678Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8810699Z 
2022-11-23T02:04:38.8810834Z aten = torch.ops.aten
2022-11-23T02:04:38.8811025Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8811165Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8811185Z 
2022-11-23T02:04:38.8811203Z 
2022-11-23T02:04:38.8811404Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8811666Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8811843Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8811992Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8812091Z {
2022-11-23T02:04:38.8812245Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8812344Z     {
2022-11-23T02:04:38.8812477Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.8812578Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T02:04:38.8812677Z         {
2022-11-23T02:04:38.8812816Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T02:04:38.8812919Z             {
2022-11-23T02:04:38.8813021Z                 {
2022-11-23T02:04:38.8813129Z                     {
2022-11-23T02:04:38.8813283Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T02:04:38.8813406Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T02:04:38.8813509Z                     }
2022-11-23T02:04:38.8813610Z                 }
2022-11-23T02:04:38.8813710Z             }
2022-11-23T02:04:38.8813810Z         }
2022-11-23T02:04:38.8813907Z     }
2022-11-23T02:04:38.8814007Z }
2022-11-23T02:04:38.8814113Z ''')
2022-11-23T02:04:38.8814133Z 
2022-11-23T02:04:38.8814151Z 
2022-11-23T02:04:38.8814288Z async_compile.wait(globals())
2022-11-23T02:04:38.8814407Z del async_compile
2022-11-23T02:04:38.8814426Z 
2022-11-23T02:04:38.8814536Z def call(args):
2022-11-23T02:04:38.8814709Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8814823Z     args.clear()
2022-11-23T02:04:38.8815158Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8815328Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8815438Z     del arg7_1
2022-11-23T02:04:38.8815642Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T02:04:38.8815815Z     assert_size_stride(buf1, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1))
2022-11-23T02:04:38.8815924Z     del arg0_1
2022-11-23T02:04:38.8816445Z     del arg1_1
2022-11-23T02:04:38.8816701Z     return (buf1, )
2022-11-23T02:04:38.8816701Z 
2022-11-23T02:04:38.8816703Z 
2022-11-23T02:04:38.8817131Z if __name__ == "__main__":
2022-11-23T02:04:38.8817388Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8817692Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8818103Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8818374Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8818642Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8818905Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8819166Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8819422Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8819649Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8819963Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8820190Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8820211Z 
2022-11-23T02:04:38.8820809Z [2022-11-23 01:52:49,933] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fi/cfiiz3sw7ji5ibt2tuewxyatbmckziut6z4qnguzegvb5mquwmvm.py
2022-11-23T02:04:38.8821184Z [2022-11-23 01:52:49,933] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 138
2022-11-23T02:04:38.8821516Z [2022-11-23 01:52:50,272] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8821942Z [2022-11-23 01:52:50,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8822241Z [2022-11-23 01:52:50,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8822580Z [2022-11-23 01:52:50,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8822949Z [2022-11-23 01:52:50,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8823351Z [2022-11-23 01:52:50,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8823798Z [2022-11-23 01:52:50,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8824215Z [2022-11-23 01:52:50,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8824549Z [2022-11-23 01:52:50,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8824871Z [2022-11-23 01:52:50,299] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8825225Z [2022-11-23 01:52:50,301] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8825576Z [2022-11-23 01:52:50,367] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8825841Z [2022-11-23 01:52:50,368] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8826036Z  __compiled_fn_140 <eval_with_key>.1274 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8826147Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8826296Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8826440Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8826460Z 
2022-11-23T02:04:38.8826897Z [2022-11-23 01:52:50,368] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8827038Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8827242Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8827376Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8827517Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8827627Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8827759Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8827874Z              12 RETURN_VALUE
2022-11-23T02:04:38.8827894Z 
2022-11-23T02:04:38.8827991Z  
2022-11-23T02:04:38.8828434Z [2022-11-23 01:52:50,368] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8828596Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_140)
2022-11-23T02:04:38.8828733Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8828870Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8828965Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8829107Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8829244Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8829361Z              12 RETURN_VALUE
2022-11-23T02:04:38.8829380Z 
2022-11-23T02:04:38.8829479Z  
2022-11-23T02:04:38.8829789Z [2022-11-23 01:52:50,370] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8829905Z  - 
2022-11-23T02:04:38.8830056Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8830158Z             {
2022-11-23T02:04:38.8830359Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8830619Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8830797Z                 'obj_weakref': None
2022-11-23T02:04:38.8831109Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8831212Z             }
2022-11-23T02:04:38.8831289Z             
2022-11-23T02:04:38.8831400Z  - 
2022-11-23T02:04:38.8831585Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8831691Z             {
2022-11-23T02:04:38.8831897Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8832057Z                 'code': None,
2022-11-23T02:04:38.8832358Z                 'obj_weakref': <weakref at 0x7fa531fc1940; to 'Tensor' at 0x7fa531ef7b50>
2022-11-23T02:04:38.8832682Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8832788Z             }
2022-11-23T02:04:38.8832889Z             
2022-11-23T02:04:38.8833003Z  - 
2022-11-23T02:04:38.8833177Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8833281Z             {
2022-11-23T02:04:38.8833475Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8833690Z                 'code': ['___check_obj_id(model, 140347992500224)'],
2022-11-23T02:04:38.8833993Z                 'obj_weakref': <weakref at 0x7fa531f7e480; to 'Sequential' at 0x7fa5503ce800>
2022-11-23T02:04:38.8834320Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8834421Z             }
2022-11-23T02:04:38.8834517Z             
2022-11-23T02:04:38.8834630Z  - 
2022-11-23T02:04:38.8834807Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8834886Z             {
2022-11-23T02:04:38.8835085Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8835385Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8835559Z                 'obj_weakref': None
2022-11-23T02:04:38.8835870Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8835971Z             }
2022-11-23T02:04:38.8836074Z             
2022-11-23T02:04:38.8836161Z  - 
2022-11-23T02:04:38.8836365Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8836467Z             {
2022-11-23T02:04:38.8836643Z                 'guard_types': None,
2022-11-23T02:04:38.8836886Z                 'code': None,
2022-11-23T02:04:38.8837054Z                 'obj_weakref': None
2022-11-23T02:04:38.8837231Z                 'guarded_class': None
2022-11-23T02:04:38.8837309Z             }
2022-11-23T02:04:38.8837410Z             
2022-11-23T02:04:38.8837520Z  - 
2022-11-23T02:04:38.8837729Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8837829Z             {
2022-11-23T02:04:38.8837999Z                 'guard_types': None,
2022-11-23T02:04:38.8838135Z                 'code': None,
2022-11-23T02:04:38.8838304Z                 'obj_weakref': None
2022-11-23T02:04:38.8838474Z                 'guarded_class': None
2022-11-23T02:04:38.8838572Z             }
2022-11-23T02:04:38.8838670Z             
2022-11-23T02:04:38.8839021Z [2022-11-23 01:52:50,387] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 139
2022-11-23T02:04:38.8839511Z [2022-11-23 01:52:50,405] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p4/cp4rlma65hnxhotm54h3gcyua6nglcapzwogvt7c37tpxndbpsic.py
2022-11-23T02:04:38.8839882Z [2022-11-23 01:52:50,405] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 139
2022-11-23T02:04:38.8840252Z [2022-11-23 01:52:50,783] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8840689Z [2022-11-23 01:52:50,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8840988Z [2022-11-23 01:52:50,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8841324Z [2022-11-23 01:52:50,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8841693Z [2022-11-23 01:52:50,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8842115Z [2022-11-23 01:52:50,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8842571Z [2022-11-23 01:52:50,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8842993Z [2022-11-23 01:52:50,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8843329Z [2022-11-23 01:52:50,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8843650Z [2022-11-23 01:52:50,810] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8843976Z [2022-11-23 01:52:50,811] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8844325Z [2022-11-23 01:52:50,890] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8844595Z [2022-11-23 01:52:50,891] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8844791Z  __compiled_fn_141 <eval_with_key>.1285 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8844926Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8845074Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8845220Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8845242Z 
2022-11-23T02:04:38.8845685Z [2022-11-23 01:52:50,891] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8845823Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8845940Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8846070Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8846205Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8846329Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8846543Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8846659Z              12 RETURN_VALUE
2022-11-23T02:04:38.8846681Z 
2022-11-23T02:04:38.8846773Z  
2022-11-23T02:04:38.8847198Z [2022-11-23 01:52:50,891] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8847356Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_141)
2022-11-23T02:04:38.8847488Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8847623Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8847735Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8847863Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8847994Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8848085Z              12 RETURN_VALUE
2022-11-23T02:04:38.8848123Z 
2022-11-23T02:04:38.8848198Z  
2022-11-23T02:04:38.8848460Z [2022-11-23 01:52:50,893] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8848571Z  - 
2022-11-23T02:04:38.8848741Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8848838Z             {
2022-11-23T02:04:38.8849035Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8849329Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8849513Z                 'obj_weakref': None
2022-11-23T02:04:38.8849818Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8849915Z             }
2022-11-23T02:04:38.8850007Z             
2022-11-23T02:04:38.8850112Z  - 
2022-11-23T02:04:38.8850293Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8850371Z             {
2022-11-23T02:04:38.8850570Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8850724Z                 'code': None,
2022-11-23T02:04:38.8851012Z                 'obj_weakref': <weakref at 0x7fa53218f330; to 'Tensor' at 0x7fa55016fbf0>
2022-11-23T02:04:38.8851368Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8851466Z             }
2022-11-23T02:04:38.8851565Z             
2022-11-23T02:04:38.8851671Z  - 
2022-11-23T02:04:38.8851829Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8851926Z             {
2022-11-23T02:04:38.8852119Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8852352Z                 'code': ['___check_obj_id(model, 140347486986944)'],
2022-11-23T02:04:38.8852650Z                 'obj_weakref': <weakref at 0x7fa53218d990; to 'Sequential' at 0x7fa5321b62c0>
2022-11-23T02:04:38.8852970Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8853066Z             }
2022-11-23T02:04:38.8853143Z             
2022-11-23T02:04:38.8853248Z  - 
2022-11-23T02:04:38.8853422Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8853519Z             {
2022-11-23T02:04:38.8853716Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8854011Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8854184Z                 'obj_weakref': None
2022-11-23T02:04:38.8854477Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8854577Z             }
2022-11-23T02:04:38.8854673Z             
2022-11-23T02:04:38.8854780Z  - 
2022-11-23T02:04:38.8854984Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8855083Z             {
2022-11-23T02:04:38.8855236Z                 'guard_types': None,
2022-11-23T02:04:38.8855394Z                 'code': None,
2022-11-23T02:04:38.8855565Z                 'obj_weakref': None
2022-11-23T02:04:38.8855740Z                 'guarded_class': None
2022-11-23T02:04:38.8855844Z             }
2022-11-23T02:04:38.8855939Z             
2022-11-23T02:04:38.8856611Z  - 
2022-11-23T02:04:38.8856969Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8857374Z             {
2022-11-23T02:04:38.8857676Z                 'guard_types': None,
2022-11-23T02:04:38.8857929Z                 'code': None,
2022-11-23T02:04:38.8858141Z                 'obj_weakref': None
2022-11-23T02:04:38.8858318Z                 'guarded_class': None
2022-11-23T02:04:38.8858417Z             }
2022-11-23T02:04:38.8858493Z             
2022-11-23T02:04:38.8858853Z [2022-11-23 01:52:50,910] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 140
2022-11-23T02:04:38.8859341Z [2022-11-23 01:52:50,919] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2d/c2dny33z2ywgm7ehimowpu726zvfz73i6tpu5kcqgyvqvi33v4ip.py
2022-11-23T02:04:38.8859702Z [2022-11-23 01:52:50,919] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 140
2022-11-23T02:04:38.8860024Z [2022-11-23 01:52:51,075] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8860452Z [2022-11-23 01:52:51,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8860836Z [2022-11-23 01:52:51,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8861177Z [2022-11-23 01:52:51,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8861539Z [2022-11-23 01:52:51,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8861942Z [2022-11-23 01:52:51,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8862390Z [2022-11-23 01:52:51,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8862811Z [2022-11-23 01:52:51,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8863150Z [2022-11-23 01:52:51,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8863474Z [2022-11-23 01:52:51,103] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8863819Z [2022-11-23 01:52:51,104] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8864157Z [2022-11-23 01:52:51,181] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8864419Z [2022-11-23 01:52:51,182] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8864607Z  __compiled_fn_142 <eval_with_key>.1296 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8864719Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8864864Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8865010Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8865031Z 
2022-11-23T02:04:38.8865465Z [2022-11-23 01:52:51,182] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8865606Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8865814Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8865942Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8866076Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8866181Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8866313Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8866431Z              12 RETURN_VALUE
2022-11-23T02:04:38.8866451Z 
2022-11-23T02:04:38.8866543Z  
2022-11-23T02:04:38.8866982Z [2022-11-23 01:52:51,182] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8867208Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_142)
2022-11-23T02:04:38.8867341Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8867473Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8867571Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8867702Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8867834Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8867945Z              12 RETURN_VALUE
2022-11-23T02:04:38.8867965Z 
2022-11-23T02:04:38.8868059Z  
2022-11-23T02:04:38.8868316Z [2022-11-23 01:52:51,184] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8868425Z  - 
2022-11-23T02:04:38.8868573Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8868672Z             {
2022-11-23T02:04:38.8868871Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8869134Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8869308Z                 'obj_weakref': None
2022-11-23T02:04:38.8869621Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8869721Z             }
2022-11-23T02:04:38.8869798Z             
2022-11-23T02:04:38.8869905Z  - 
2022-11-23T02:04:38.8870140Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8870243Z             {
2022-11-23T02:04:38.8870443Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8870595Z                 'code': None,
2022-11-23T02:04:38.8870884Z                 'obj_weakref': <weakref at 0x7fa531ef6840; to 'Tensor' at 0x7fa532163dd0>
2022-11-23T02:04:38.8871206Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8871302Z             }
2022-11-23T02:04:38.8871397Z             
2022-11-23T02:04:38.8871501Z  - 
2022-11-23T02:04:38.8871670Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8871766Z             {
2022-11-23T02:04:38.8871959Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8872176Z                 'code': ['___check_obj_id(model, 140347486986944)'],
2022-11-23T02:04:38.8872473Z                 'obj_weakref': <weakref at 0x7fa53218d990; to 'Sequential' at 0x7fa5321b62c0>
2022-11-23T02:04:38.8872799Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8872896Z             }
2022-11-23T02:04:38.8872991Z             
2022-11-23T02:04:38.8873096Z  - 
2022-11-23T02:04:38.8873267Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8873343Z             {
2022-11-23T02:04:38.8873535Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8873822Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8873996Z                 'obj_weakref': None
2022-11-23T02:04:38.8874299Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8874401Z             }
2022-11-23T02:04:38.8874497Z             
2022-11-23T02:04:38.8874587Z  - 
2022-11-23T02:04:38.8874793Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8874890Z             {
2022-11-23T02:04:38.8875062Z                 'guard_types': None,
2022-11-23T02:04:38.8875215Z                 'code': None,
2022-11-23T02:04:38.8875381Z                 'obj_weakref': None
2022-11-23T02:04:38.8875551Z                 'guarded_class': None
2022-11-23T02:04:38.8875628Z             }
2022-11-23T02:04:38.8875726Z             
2022-11-23T02:04:38.8875830Z  - 
2022-11-23T02:04:38.8876034Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8876128Z             {
2022-11-23T02:04:38.8876298Z                 'guard_types': None,
2022-11-23T02:04:38.8876450Z                 'code': None,
2022-11-23T02:04:38.8876598Z                 'obj_weakref': None
2022-11-23T02:04:38.8876763Z                 'guarded_class': None
2022-11-23T02:04:38.8876933Z             }
2022-11-23T02:04:38.8877028Z             
2022-11-23T02:04:38.8877385Z [2022-11-23 01:52:51,202] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 141
2022-11-23T02:04:38.8877878Z [2022-11-23 01:52:51,220] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ds/cdsgb3ciryw6rwd5mhygvcbh422adb3qhcg3xbcdwkjmk5blb2cd.py
2022-11-23T02:04:38.8878241Z [2022-11-23 01:52:51,220] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 141
2022-11-23T02:04:38.8878545Z [2022-11-23 01:52:51,402] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8878968Z [2022-11-23 01:52:51,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8879267Z [2022-11-23 01:52:51,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8879594Z [2022-11-23 01:52:51,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8879961Z [2022-11-23 01:52:51,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8880479Z [2022-11-23 01:52:51,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8880933Z [2022-11-23 01:52:51,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8881348Z [2022-11-23 01:52:51,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8881683Z [2022-11-23 01:52:51,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8882005Z [2022-11-23 01:52:51,429] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8882337Z [2022-11-23 01:52:51,430] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8882678Z [2022-11-23 01:52:51,493] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8882941Z [2022-11-23 01:52:51,494] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8883132Z  __compiled_fn_143 <eval_with_key>.1307 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8883261Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8883406Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8883551Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8883573Z 
2022-11-23T02:04:38.8884010Z [2022-11-23 01:52:51,494] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8884150Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8884266Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8884393Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8884526Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8884654Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8884790Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8884903Z              12 RETURN_VALUE
2022-11-23T02:04:38.8884923Z 
2022-11-23T02:04:38.8885016Z  
2022-11-23T02:04:38.8885429Z [2022-11-23 01:52:51,495] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8885586Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_143)
2022-11-23T02:04:38.8885717Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8885851Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8885963Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8886233Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8886366Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8886477Z              12 RETURN_VALUE
2022-11-23T02:04:38.8886496Z 
2022-11-23T02:04:38.8886569Z  
2022-11-23T02:04:38.8886878Z [2022-11-23 01:52:51,496] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8886983Z  - 
2022-11-23T02:04:38.8887150Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8887245Z             {
2022-11-23T02:04:38.8887441Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8887701Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8887854Z                 'obj_weakref': None
2022-11-23T02:04:38.8888164Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8888263Z             }
2022-11-23T02:04:38.8888358Z             
2022-11-23T02:04:38.8888465Z  - 
2022-11-23T02:04:38.8888646Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8888744Z             {
2022-11-23T02:04:38.8888924Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8889085Z                 'code': None,
2022-11-23T02:04:38.8889436Z                 'obj_weakref': <weakref at 0x7fa531f7d580; to 'Tensor' at 0x7fa55032fce0>
2022-11-23T02:04:38.8889796Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8889897Z             }
2022-11-23T02:04:38.8889990Z             
2022-11-23T02:04:38.8890100Z  - 
2022-11-23T02:04:38.8890254Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8890351Z             {
2022-11-23T02:04:38.8890539Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8890774Z                 'code': ['___check_obj_id(model, 140347989943312)'],
2022-11-23T02:04:38.8891074Z                 'obj_weakref': <weakref at 0x7fa531e846d0; to 'Sequential' at 0x7fa55015e410>
2022-11-23T02:04:38.8891394Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8891496Z             }
2022-11-23T02:04:38.8891573Z             
2022-11-23T02:04:38.8891682Z  - 
2022-11-23T02:04:38.8891864Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8891965Z             {
2022-11-23T02:04:38.8892159Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8892461Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8892634Z                 'obj_weakref': None
2022-11-23T02:04:38.8892918Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8893011Z             }
2022-11-23T02:04:38.8893106Z             
2022-11-23T02:04:38.8893216Z  - 
2022-11-23T02:04:38.8893420Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8893518Z             {
2022-11-23T02:04:38.8893685Z                 'guard_types': None,
2022-11-23T02:04:38.8893823Z                 'code': None,
2022-11-23T02:04:38.8893987Z                 'obj_weakref': None
2022-11-23T02:04:38.8894158Z                 'guarded_class': None
2022-11-23T02:04:38.8894252Z             }
2022-11-23T02:04:38.8894347Z             
2022-11-23T02:04:38.8894462Z  - 
2022-11-23T02:04:38.8894653Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8894752Z             {
2022-11-23T02:04:38.8894926Z                 'guard_types': None,
2022-11-23T02:04:38.8895081Z                 'code': None,
2022-11-23T02:04:38.8895252Z                 'obj_weakref': None
2022-11-23T02:04:38.8895423Z                 'guarded_class': None
2022-11-23T02:04:38.8895518Z             }
2022-11-23T02:04:38.8895595Z             
2022-11-23T02:04:38.8895952Z [2022-11-23 01:52:51,514] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 142
2022-11-23T02:04:38.8895974Z 
2022-11-23T02:04:38.8896672Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8897079Z import torch
2022-11-23T02:04:38.8897245Z import random
2022-11-23T02:04:38.8897525Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8897815Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8897842Z 
2022-11-23T02:04:38.8898041Z aten = torch.ops.aten
2022-11-23T02:04:38.8898337Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8898483Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8898502Z 
2022-11-23T02:04:38.8898521Z 
2022-11-23T02:04:38.8898651Z async_compile.wait(globals())
2022-11-23T02:04:38.8898762Z del async_compile
2022-11-23T02:04:38.8898781Z 
2022-11-23T02:04:38.8898890Z def call(args):
2022-11-23T02:04:38.8899059Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8899168Z     args.clear()
2022-11-23T02:04:38.8899369Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T02:04:38.8899520Z     assert_size_stride(buf0, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1))
2022-11-23T02:04:38.8899634Z     del arg0_1
2022-11-23T02:04:38.8899734Z     del arg1_1
2022-11-23T02:04:38.8899833Z     del arg7_1
2022-11-23T02:04:38.8899946Z     return (buf0, )
2022-11-23T02:04:38.8899966Z 
2022-11-23T02:04:38.8900069Z 
2022-11-23T02:04:38.8900191Z if __name__ == "__main__":
2022-11-23T02:04:38.8900355Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8900509Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8900847Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8901115Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8901381Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8901641Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8901902Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8902171Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8902417Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8902721Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8902941Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8902961Z 
2022-11-23T02:04:38.8902981Z 
2022-11-23T02:04:38.8903117Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8903225Z import torch
2022-11-23T02:04:38.8903332Z import random
2022-11-23T02:04:38.8903493Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8903662Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8903681Z 
2022-11-23T02:04:38.8903799Z aten = torch.ops.aten
2022-11-23T02:04:38.8903968Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8904109Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8904129Z 
2022-11-23T02:04:38.8904147Z 
2022-11-23T02:04:38.8904339Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8904626Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8904794Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8904939Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8905035Z {
2022-11-23T02:04:38.8905178Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8905292Z     {
2022-11-23T02:04:38.8905428Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.8905506Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:38.8905609Z         {
2022-11-23T02:04:38.8905789Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T02:04:38.8905832Z             {
2022-11-23T02:04:38.8905931Z                 {
2022-11-23T02:04:38.8906168Z                     {
2022-11-23T02:04:38.8906317Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T02:04:38.8906459Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T02:04:38.8906561Z                     }
2022-11-23T02:04:38.8906662Z                 }
2022-11-23T02:04:38.8906764Z             }
2022-11-23T02:04:38.8906858Z         }
2022-11-23T02:04:38.8906933Z     }
2022-11-23T02:04:38.8907024Z }
2022-11-23T02:04:38.8907147Z ''')
2022-11-23T02:04:38.8907167Z 
2022-11-23T02:04:38.8907185Z 
2022-11-23T02:04:38.8907319Z async_compile.wait(globals())
2022-11-23T02:04:38.8907428Z del async_compile
2022-11-23T02:04:38.8907447Z 
2022-11-23T02:04:38.8907553Z def call(args):
2022-11-23T02:04:38.8907724Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8907815Z     args.clear()
2022-11-23T02:04:38.8908145Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8908337Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8908441Z     del arg7_1
2022-11-23T02:04:38.8908637Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T02:04:38.8908886Z     assert_size_stride(buf1, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1))
2022-11-23T02:04:38.8908998Z     del arg0_1
2022-11-23T02:04:38.8909080Z     del arg1_1
2022-11-23T02:04:38.8909189Z     return (buf1, )
2022-11-23T02:04:38.8909209Z 
2022-11-23T02:04:38.8909227Z 
2022-11-23T02:04:38.8909342Z if __name__ == "__main__":
2022-11-23T02:04:38.8909502Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8909674Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8909983Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8910253Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8910522Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8910796Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8911030Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8911291Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8911540Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8911860Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8912080Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8912099Z 
2022-11-23T02:04:38.8912117Z 
2022-11-23T02:04:38.8912256Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8912365Z import torch
2022-11-23T02:04:38.8912474Z import random
2022-11-23T02:04:38.8912623Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8912789Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8912810Z 
2022-11-23T02:04:38.8912925Z aten = torch.ops.aten
2022-11-23T02:04:38.8913114Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8913250Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8913269Z 
2022-11-23T02:04:38.8913287Z 
2022-11-23T02:04:38.8913416Z async_compile.wait(globals())
2022-11-23T02:04:38.8913523Z del async_compile
2022-11-23T02:04:38.8913544Z 
2022-11-23T02:04:38.8913651Z def call(args):
2022-11-23T02:04:38.8913798Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8913905Z     args.clear()
2022-11-23T02:04:38.8914100Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T02:04:38.8914267Z     assert_size_stride(buf0, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1))
2022-11-23T02:04:38.8914440Z     del arg0_1
2022-11-23T02:04:38.8914542Z     del arg1_1
2022-11-23T02:04:38.8914644Z     del arg7_1
2022-11-23T02:04:38.8914734Z     return (buf0, )
2022-11-23T02:04:38.8914753Z 
2022-11-23T02:04:38.8914792Z 
2022-11-23T02:04:38.8914886Z if __name__ == "__main__":
2022-11-23T02:04:38.8915055Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8915228Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8915536Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8915804Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8916064Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8916355Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8916559Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8916874Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8917073Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8917446Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8917668Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8917688Z 
2022-11-23T02:04:38.8917706Z 
2022-11-23T02:04:38.8917844Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8917955Z import torch
2022-11-23T02:04:38.8918059Z import random
2022-11-23T02:04:38.8918205Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8918377Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8918396Z 
2022-11-23T02:04:38.8918511Z aten = torch.ops.aten
2022-11-23T02:04:38.8918702Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8918840Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8918860Z 
2022-11-23T02:04:38.8918878Z 
2022-11-23T02:04:38.8919072Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8919353Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8919531Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8919678Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8919753Z {
2022-11-23T02:04:38.8919893Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8919988Z     {
2022-11-23T02:04:38.8920121Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.8920239Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T02:04:38.8920336Z         {
2022-11-23T02:04:38.8920447Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T02:04:38.8920546Z             {
2022-11-23T02:04:38.8920643Z                 {
2022-11-23T02:04:38.8920743Z                     {
2022-11-23T02:04:38.8920890Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T02:04:38.8921036Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T02:04:38.8921139Z                     }
2022-11-23T02:04:38.8921217Z                 }
2022-11-23T02:04:38.8921313Z             }
2022-11-23T02:04:38.8921414Z         }
2022-11-23T02:04:38.8921509Z     }
2022-11-23T02:04:38.8921603Z }
2022-11-23T02:04:38.8921727Z ''')
2022-11-23T02:04:38.8921747Z 
2022-11-23T02:04:38.8921766Z 
2022-11-23T02:04:38.8921899Z async_compile.wait(globals())
2022-11-23T02:04:38.8921988Z del async_compile
2022-11-23T02:04:38.8922008Z 
2022-11-23T02:04:38.8922114Z def call(args):
2022-11-23T02:04:38.8922283Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8922392Z     args.clear()
2022-11-23T02:04:38.8922716Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8922906Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8923080Z     del arg7_1
2022-11-23T02:04:38.8923285Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T02:04:38.8923437Z     assert_size_stride(buf1, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1))
2022-11-23T02:04:38.8923540Z     del arg0_1
2022-11-23T02:04:38.8923641Z     del arg1_1
2022-11-23T02:04:38.8923749Z     return (buf1, )
2022-11-23T02:04:38.8923769Z 
2022-11-23T02:04:38.8923787Z 
2022-11-23T02:04:38.8923897Z if __name__ == "__main__":
2022-11-23T02:04:38.8924058Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8924238Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8924525Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8924792Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8925053Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8925317Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8925571Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8925877Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8926132Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8926444Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8926660Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8926680Z 
2022-11-23T02:04:38.8927166Z [2022-11-23 01:52:51,523] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tq/ctqzpig3sjl3xvzyap6wdlrf42a7khowpaaq37r5xtpqtzayznvq.py
2022-11-23T02:04:38.8927530Z [2022-11-23 01:52:51,523] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 142
2022-11-23T02:04:38.8927855Z [2022-11-23 01:52:51,869] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8928279Z [2022-11-23 01:52:51,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8928580Z [2022-11-23 01:52:51,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8928906Z [2022-11-23 01:52:51,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8929266Z [2022-11-23 01:52:51,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8929682Z [2022-11-23 01:52:51,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8930131Z [2022-11-23 01:52:51,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8930554Z [2022-11-23 01:52:51,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8930870Z [2022-11-23 01:52:51,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:38.8931188Z [2022-11-23 01:52:51,897] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8931538Z [2022-11-23 01:52:51,899] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8931879Z [2022-11-23 01:52:51,961] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8932136Z [2022-11-23 01:52:51,962] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8932327Z  __compiled_fn_144 <eval_with_key>.1318 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8932527Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8932671Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8932793Z output, output, output, ((model_0,),), {}
2022-11-23T02:04:38.8932834Z 
2022-11-23T02:04:38.8933259Z [2022-11-23 01:52:51,963] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8933397Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8933529Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8933657Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8933793Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8933919Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8934052Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8934145Z              12 RETURN_VALUE
2022-11-23T02:04:38.8934165Z 
2022-11-23T02:04:38.8934265Z  
2022-11-23T02:04:38.8934700Z [2022-11-23 01:52:51,963] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8934859Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_144)
2022-11-23T02:04:38.8935050Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8935187Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8935304Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8935435Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8935547Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:38.8935666Z              12 RETURN_VALUE
2022-11-23T02:04:38.8935686Z 
2022-11-23T02:04:38.8935776Z  
2022-11-23T02:04:38.8936518Z [2022-11-23 01:52:51,964] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8936716Z  - 
2022-11-23T02:04:38.8936994Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8937155Z             {
2022-11-23T02:04:38.8937478Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8937917Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8938201Z                 'obj_weakref': None
2022-11-23T02:04:38.8938563Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8938661Z             }
2022-11-23T02:04:38.8938759Z             
2022-11-23T02:04:38.8938866Z  - 
2022-11-23T02:04:38.8939022Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8939121Z             {
2022-11-23T02:04:38.8939322Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8939477Z                 'code': None,
2022-11-23T02:04:38.8939838Z                 'obj_weakref': <weakref at 0x7fa531f7ef70; to 'Tensor' at 0x7fa53c48cc20>
2022-11-23T02:04:38.8940181Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8940280Z             }
2022-11-23T02:04:38.8940362Z             
2022-11-23T02:04:38.8940471Z  - 
2022-11-23T02:04:38.8940644Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8940741Z             {
2022-11-23T02:04:38.8940932Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8941170Z                 'code': ['___check_obj_id(model, 140347989943312)'],
2022-11-23T02:04:38.8941471Z                 'obj_weakref': <weakref at 0x7fa531e846d0; to 'Sequential' at 0x7fa55015e410>
2022-11-23T02:04:38.8941775Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8941872Z             }
2022-11-23T02:04:38.8941965Z             
2022-11-23T02:04:38.8942072Z  - 
2022-11-23T02:04:38.8942243Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8942339Z             {
2022-11-23T02:04:38.8942530Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8942807Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8943277Z                 'obj_weakref': None
2022-11-23T02:04:38.8943578Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8943676Z             }
2022-11-23T02:04:38.8943776Z             
2022-11-23T02:04:38.8943890Z  - 
2022-11-23T02:04:38.8944093Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8944171Z             {
2022-11-23T02:04:38.8944341Z                 'guard_types': None,
2022-11-23T02:04:38.8944494Z                 'code': None,
2022-11-23T02:04:38.8944663Z                 'obj_weakref': None
2022-11-23T02:04:38.8944834Z                 'guarded_class': None
2022-11-23T02:04:38.8944929Z             }
2022-11-23T02:04:38.8945025Z             
2022-11-23T02:04:38.8945111Z  - 
2022-11-23T02:04:38.8945311Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8945407Z             {
2022-11-23T02:04:38.8945578Z                 'guard_types': None,
2022-11-23T02:04:38.8945738Z                 'code': None,
2022-11-23T02:04:38.8945904Z                 'obj_weakref': None
2022-11-23T02:04:38.8946054Z                 'guarded_class': None
2022-11-23T02:04:38.8946156Z             }
2022-11-23T02:04:38.8946252Z             
2022-11-23T02:04:38.8946732Z [2022-11-23 01:52:51,982] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 143
2022-11-23T02:04:38.8947244Z [2022-11-23 01:52:52,000] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qg/cqgiq6guouxgvtifrtxwhgo5pn7u4bcy4slkvgbsoj3udkqcdom4.py
2022-11-23T02:04:38.8947605Z [2022-11-23 01:52:52,000] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 143
2022-11-23T02:04:38.8947625Z 
2022-11-23T02:04:38.8947763Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8947869Z import torch
2022-11-23T02:04:38.8947958Z import random
2022-11-23T02:04:38.8948121Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8948299Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8948318Z 
2022-11-23T02:04:38.8948440Z aten = torch.ops.aten
2022-11-23T02:04:38.8948631Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8948766Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8948789Z 
2022-11-23T02:04:38.8948809Z 
2022-11-23T02:04:38.8948938Z async_compile.wait(globals())
2022-11-23T02:04:38.8949045Z del async_compile
2022-11-23T02:04:38.8949065Z 
2022-11-23T02:04:38.8949153Z def call(args):
2022-11-23T02:04:38.8949324Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8949429Z     args.clear()
2022-11-23T02:04:38.8949622Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T02:04:38.8949789Z     assert_size_stride(buf0, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1))
2022-11-23T02:04:38.8949889Z     del arg0_1
2022-11-23T02:04:38.8949993Z     del arg1_1
2022-11-23T02:04:38.8950097Z     del arg7_1
2022-11-23T02:04:38.8950189Z     return (buf0, )
2022-11-23T02:04:38.8950208Z 
2022-11-23T02:04:38.8950226Z 
2022-11-23T02:04:38.8950342Z if __name__ == "__main__":
2022-11-23T02:04:38.8950501Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8950678Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8950996Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8951266Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8951533Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8951791Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8952032Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8952289Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8952600Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8952915Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8953138Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8953158Z 
2022-11-23T02:04:38.8953176Z 
2022-11-23T02:04:38.8953352Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8953460Z import torch
2022-11-23T02:04:38.8953566Z import random
2022-11-23T02:04:38.8953711Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8953881Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8953901Z 
2022-11-23T02:04:38.8954019Z aten = torch.ops.aten
2022-11-23T02:04:38.8954206Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8954338Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8954357Z 
2022-11-23T02:04:38.8954379Z 
2022-11-23T02:04:38.8954571Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8954849Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8955017Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.8955193Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.8955290Z {
2022-11-23T02:04:38.8955433Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8955529Z     {
2022-11-23T02:04:38.8955661Z         #pragma omp for  collapse(2)
2022-11-23T02:04:38.8955780Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:38.8955875Z         {
2022-11-23T02:04:38.8955987Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T02:04:38.8956085Z             {
2022-11-23T02:04:38.8956182Z                 {
2022-11-23T02:04:38.8956280Z                     {
2022-11-23T02:04:38.8956428Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T02:04:38.8956569Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T02:04:38.8956677Z                     }
2022-11-23T02:04:38.8956755Z                 }
2022-11-23T02:04:38.8956850Z             }
2022-11-23T02:04:38.8956943Z         }
2022-11-23T02:04:38.8957039Z     }
2022-11-23T02:04:38.8957129Z }
2022-11-23T02:04:38.8957255Z ''')
2022-11-23T02:04:38.8957276Z 
2022-11-23T02:04:38.8957295Z 
2022-11-23T02:04:38.8957428Z async_compile.wait(globals())
2022-11-23T02:04:38.8957518Z del async_compile
2022-11-23T02:04:38.8957537Z 
2022-11-23T02:04:38.8957643Z def call(args):
2022-11-23T02:04:38.8957811Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T02:04:38.8957918Z     args.clear()
2022-11-23T02:04:38.8958243Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8958433Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.8958536Z     del arg7_1
2022-11-23T02:04:38.8958715Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T02:04:38.8958884Z     assert_size_stride(buf1, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1))
2022-11-23T02:04:38.8958989Z     del arg0_1
2022-11-23T02:04:38.8959093Z     del arg1_1
2022-11-23T02:04:38.8959199Z     return (buf1, )
2022-11-23T02:04:38.8959218Z 
2022-11-23T02:04:38.8959237Z 
2022-11-23T02:04:38.8959354Z if __name__ == "__main__":
2022-11-23T02:04:38.8959516Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8959688Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8959973Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8960239Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8960506Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8960762Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8961088Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8961343Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8961592Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.8961911Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8962108Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T02:04:38.8962147Z 
2022-11-23T02:04:38.8962230Z ok (26.569s)
2022-11-23T02:04:38.8962658Z   test_convolution1_cpu (__main__.CpuTests) ... [2022-11-23 01:52:52,252] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8963084Z [2022-11-23 01:52:52,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8963385Z [2022-11-23 01:52:52,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8963766Z [2022-11-23 01:52:52,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:38.8964137Z [2022-11-23 01:52:52,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:38.8964555Z [2022-11-23 01:52:52,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8965003Z [2022-11-23 01:52:52,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8965421Z [2022-11-23 01:52:52,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8965916Z [2022-11-23 01:52:52,262] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T02:04:38.8966053Z  170           0 LOAD_FAST                1 (x)
2022-11-23T02:04:38.8966184Z               2 BUILD_TUPLE              1
2022-11-23T02:04:38.8966298Z               4 RETURN_VALUE
2022-11-23T02:04:38.8966392Z  
2022-11-23T02:04:38.8966411Z 
2022-11-23T02:04:38.8966900Z [2022-11-23 01:52:52,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T02:04:38.8967187Z [2022-11-23 01:52:52,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:38.8967511Z [2022-11-23 01:52:52,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.8967848Z [2022-11-23 01:52:52,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.8968348Z [2022-11-23 01:52:52,263] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T02:04:38.8968683Z [2022-11-23 01:52:52,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.8969004Z [2022-11-23 01:52:52,263] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.8969350Z [2022-11-23 01:52:52,265] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.8969695Z [2022-11-23 01:52:52,278] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.8969952Z [2022-11-23 01:52:52,278] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.8970140Z  __compiled_fn_145 <eval_with_key>.1324 opcode, name, target, args, kwargs
2022-11-23T02:04:38.8970343Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.8970469Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:38.8970617Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T02:04:38.8970758Z output, output, output, ((model_1,),), {}
2022-11-23T02:04:38.8970778Z 
2022-11-23T02:04:38.8971221Z [2022-11-23 01:52:52,279] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8971358Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.8971490Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8971619Z               4 BUILD_MAP                0
2022-11-23T02:04:38.8971755Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.8971860Z               8 DICT_MERGE               1
2022-11-23T02:04:38.8971994Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.8972103Z              12 RETURN_VALUE
2022-11-23T02:04:38.8972126Z 
2022-11-23T02:04:38.8972219Z  
2022-11-23T02:04:38.8972659Z [2022-11-23 01:52:52,279] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.8972872Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_145)
2022-11-23T02:04:38.8973010Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.8973144Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8973240Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.8973370Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.8973525Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.8973674Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.8973807Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.8973925Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.8974051Z              18 BUILD_TUPLE              1
2022-11-23T02:04:38.8974143Z              20 RETURN_VALUE
2022-11-23T02:04:38.8974168Z 
2022-11-23T02:04:38.8974262Z  
2022-11-23T02:04:38.8974520Z [2022-11-23 01:52:52,280] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.8974631Z  - 
2022-11-23T02:04:38.8974804Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.8974906Z             {
2022-11-23T02:04:38.8975102Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.8975340Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.8975511Z                 'obj_weakref': None
2022-11-23T02:04:38.8975818Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.8975916Z             }
2022-11-23T02:04:38.8976014Z             
2022-11-23T02:04:38.8976678Z  - 
2022-11-23T02:04:38.8976983Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.8977115Z             {
2022-11-23T02:04:38.8977447Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.8977716Z                 'code': None,
2022-11-23T02:04:38.8978201Z                 'obj_weakref': <weakref at 0x7fa55003df30; to 'Tensor' at 0x7fa53227e160>
2022-11-23T02:04:38.8978567Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.8978675Z             }
2022-11-23T02:04:38.8978776Z             
2022-11-23T02:04:38.8978862Z  - 
2022-11-23T02:04:38.8979030Z             local 'model' NN_MODULE
2022-11-23T02:04:38.8979128Z             {
2022-11-23T02:04:38.8979318Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.8979553Z                 'code': ['___check_obj_id(model, 140348156974400)'],
2022-11-23T02:04:38.8979851Z                 'obj_weakref': <weakref at 0x7fa55003d2b0; to 'Sequential' at 0x7fa55a0a9540>
2022-11-23T02:04:38.8980171Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:38.8980271Z             }
2022-11-23T02:04:38.8980527Z             
2022-11-23T02:04:38.8980637Z  - 
2022-11-23T02:04:38.8980811Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.8980909Z             {
2022-11-23T02:04:38.8981102Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.8981402Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.8981574Z                 'obj_weakref': None
2022-11-23T02:04:38.8981859Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.8981956Z             }
2022-11-23T02:04:38.8982053Z             
2022-11-23T02:04:38.8982156Z  - 
2022-11-23T02:04:38.8982359Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:38.8982456Z             {
2022-11-23T02:04:38.8982606Z                 'guard_types': None,
2022-11-23T02:04:38.8982759Z                 'code': None,
2022-11-23T02:04:38.8982922Z                 'obj_weakref': None
2022-11-23T02:04:38.8983097Z                 'guarded_class': None
2022-11-23T02:04:38.8983199Z             }
2022-11-23T02:04:38.8983296Z             
2022-11-23T02:04:38.8983405Z  - 
2022-11-23T02:04:38.8983587Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:38.8983685Z             {
2022-11-23T02:04:38.8983935Z                 'guard_types': None,
2022-11-23T02:04:38.8984099Z                 'code': None,
2022-11-23T02:04:38.8984267Z                 'obj_weakref': None
2022-11-23T02:04:38.8984436Z                 'guarded_class': None
2022-11-23T02:04:38.8984531Z             }
2022-11-23T02:04:38.8984608Z             
2022-11-23T02:04:38.8984711Z  - 
2022-11-23T02:04:38.8984914Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T02:04:38.8985009Z             {
2022-11-23T02:04:38.8985177Z                 'guard_types': None,
2022-11-23T02:04:38.8985330Z                 'code': None,
2022-11-23T02:04:38.8985476Z                 'obj_weakref': None
2022-11-23T02:04:38.8985644Z                 'guarded_class': None
2022-11-23T02:04:38.8985743Z             }
2022-11-23T02:04:38.8985838Z             
2022-11-23T02:04:38.8986241Z [2022-11-23 01:52:52,325] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 144
2022-11-23T02:04:38.8986734Z [2022-11-23 01:52:54,995] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4a/c4ae6cz2k62wzbc7xkqjslka7tcinavaix4x6mn2fqqrzg2bz5zn.py
2022-11-23T02:04:38.8987092Z [2022-11-23 01:52:54,995] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 144
2022-11-23T02:04:38.8987114Z 
2022-11-23T02:04:38.8987252Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.8987337Z import torch
2022-11-23T02:04:38.8987443Z import random
2022-11-23T02:04:38.8987606Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.8987776Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.8987795Z 
2022-11-23T02:04:38.8987911Z aten = torch.ops.aten
2022-11-23T02:04:38.8988100Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.8988238Z async_compile = AsyncCompile()
2022-11-23T02:04:38.8988257Z 
2022-11-23T02:04:38.8988275Z 
2022-11-23T02:04:38.8988468Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.8988733Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.8988898Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:38.8989039Z                        bool* __restrict__ out_ptr0)
2022-11-23T02:04:38.8989133Z {
2022-11-23T02:04:38.8989276Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.8989369Z     {
2022-11-23T02:04:38.8989482Z         #pragma omp for 
2022-11-23T02:04:38.8989586Z         for(long i0=0; i0<2352; i0+=1)
2022-11-23T02:04:38.8989685Z         {
2022-11-23T02:04:38.8989781Z             {
2022-11-23T02:04:38.8989881Z                 {
2022-11-23T02:04:38.8990026Z                     auto tmp0 = in_out_ptr0[i0];
2022-11-23T02:04:38.8990164Z                     auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T02:04:38.8990387Z                     auto tmp2 = static_cast<float>(0);
2022-11-23T02:04:38.8990502Z                     auto tmp3 = tmp1 <= tmp2;
2022-11-23T02:04:38.8990633Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T02:04:38.8990763Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:38.8990863Z                 }
2022-11-23T02:04:38.8990960Z             }
2022-11-23T02:04:38.8991061Z         }
2022-11-23T02:04:38.8991156Z     }
2022-11-23T02:04:38.8991227Z }
2022-11-23T02:04:38.8991347Z ''')
2022-11-23T02:04:38.8991367Z 
2022-11-23T02:04:38.8991385Z 
2022-11-23T02:04:38.8991514Z async_compile.wait(globals())
2022-11-23T02:04:38.8991621Z del async_compile
2022-11-23T02:04:38.8991641Z 
2022-11-23T02:04:38.8991748Z def call(args):
2022-11-23T02:04:38.8991895Z     primals_1, primals_2, primals_3 = args
2022-11-23T02:04:38.8992003Z     args.clear()
2022-11-23T02:04:38.8992198Z     buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T02:04:38.8992362Z     assert_size_stride(buf0, (2, 6, 14, 14), (1176, 196, 14, 1))
2022-11-23T02:04:38.8992471Z     del primals_2
2022-11-23T02:04:38.8992637Z     buf1 = as_strided(buf0, (2, 6, 14, 14), (1176, 196, 14, 1)); del buf0  # reuse
2022-11-23T02:04:38.8992985Z     buf2 = empty_strided((2, 6, 14, 14), (1176, 196, 14, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.8993182Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:38.8993337Z     return (buf1, primals_1, primals_3, buf2, )
2022-11-23T02:04:38.8993356Z 
2022-11-23T02:04:38.8993374Z 
2022-11-23T02:04:38.8993489Z if __name__ == "__main__":
2022-11-23T02:04:38.8993632Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.8993807Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.8994106Z     primals_1 = rand_strided((6, 5, 3, 3), (45, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8994382Z     primals_2 = rand_strided((6, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8994699Z     primals_3 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.8994894Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T02:04:38.8994917Z 
2022-11-23T02:04:38.8995019Z ok (2.754s)
2022-11-23T02:04:38.8995444Z   test_convolution2_cpu (__main__.CpuTests) ... [2022-11-23 01:52:55,007] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.8995869Z [2022-11-23 01:52:55,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.8996148Z [2022-11-23 01:52:55,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.8996489Z [2022-11-23 01:52:55,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.8996860Z [2022-11-23 01:52:55,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.8997293Z [2022-11-23 01:52:55,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8997761Z [2022-11-23 01:52:55,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8998196Z [2022-11-23 01:52:55,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.8998694Z [2022-11-23 01:52:55,008] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb8b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1825> 
2022-11-23T02:04:38.8998838Z  1827           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.8998989Z                2 LOAD_METHOD              1 (convolution)
2022-11-23T02:04:38.8999195Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.8999307Z                6 LOAD_FAST                1 (w)
2022-11-23T02:04:38.8999436Z                8 LOAD_FAST                2 (b)
2022-11-23T02:04:38.8999571Z               10 LOAD_CONST               1 (4)
2022-11-23T02:04:38.8999703Z               12 BUILD_LIST               1
2022-11-23T02:04:38.8999831Z               14 LOAD_CONST               2 (0)
2022-11-23T02:04:38.8999955Z               16 BUILD_LIST               1
2022-11-23T02:04:38.9000084Z               18 LOAD_CONST               3 (1)
2022-11-23T02:04:38.9000195Z               20 BUILD_LIST               1
2022-11-23T02:04:38.9000333Z               22 LOAD_CONST               4 (True)
2022-11-23T02:04:38.9000461Z               24 LOAD_CONST               2 (0)
2022-11-23T02:04:38.9000588Z               26 BUILD_LIST               1
2022-11-23T02:04:38.9000716Z               28 LOAD_CONST               3 (1)
2022-11-23T02:04:38.9000850Z               30 CALL_METHOD              9
2022-11-23T02:04:38.9000979Z               32 BUILD_TUPLE              1
2022-11-23T02:04:38.9001074Z               34 RETURN_VALUE
2022-11-23T02:04:38.9001168Z  
2022-11-23T02:04:38.9001188Z 
2022-11-23T02:04:38.9001682Z [2022-11-23 01:52:55,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1827
2022-11-23T02:04:38.9001989Z [2022-11-23 01:52:55,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.9002418Z [2022-11-23 01:52:55,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9002780Z [2022-11-23 01:52:55,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.convolution)]
2022-11-23T02:04:38.9003178Z [2022-11-23 01:52:55,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(aten.convolution), TensorVariable()]
2022-11-23T02:04:38.9003615Z [2022-11-23 01:52:55,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.convolution), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9004090Z [2022-11-23 01:52:55,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9004601Z [2022-11-23 01:52:55,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.9005074Z [2022-11-23 01:52:55,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T02:04:38.9005623Z [2022-11-23 01:52:55,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.9006164Z [2022-11-23 01:52:55,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.9006737Z [2022-11-23 01:52:55,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.9007307Z [2022-11-23 01:52:55,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:38.9007919Z [2022-11-23 01:52:55,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:38.9008646Z [2022-11-23 01:52:55,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T02:04:38.9009280Z [2022-11-23 01:52:55,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T02:04:38.9009973Z [2022-11-23 01:52:55,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 9 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.9010301Z [2022-11-23 01:52:55,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.9010636Z [2022-11-23 01:52:55,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9011236Z [2022-11-23 01:52:55,021] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb8b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1825>
2022-11-23T02:04:38.9011579Z [2022-11-23 01:52:55,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9011897Z [2022-11-23 01:52:55,021] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.9012240Z [2022-11-23 01:52:55,023] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.9012562Z [2022-11-23 01:52:55,029] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.9012831Z [2022-11-23 01:52:55,029] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.9013020Z  __compiled_fn_146 <eval_with_key>.1335 opcode, name, target, args, kwargs
2022-11-23T02:04:38.9013154Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.9013290Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.9013414Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:38.9013632Z call_function, convolution, aten.convolution, (ex_0_, ex_1_, ex_2_, [4], [0], [1], True, [0], 1), {}
2022-11-23T02:04:38.9013769Z output, output, output, ((convolution,),), {}
2022-11-23T02:04:38.9013810Z 
2022-11-23T02:04:38.9014237Z [2022-11-23 01:52:55,030] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9014379Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.9014513Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9014643Z               4 BUILD_MAP                0
2022-11-23T02:04:38.9014789Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.9014917Z               8 DICT_MERGE               1
2022-11-23T02:04:38.9015048Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.9015141Z              12 RETURN_VALUE
2022-11-23T02:04:38.9015185Z 
2022-11-23T02:04:38.9015260Z  
2022-11-23T02:04:38.9015700Z [2022-11-23 01:52:55,030] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9015854Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_146)
2022-11-23T02:04:38.9015986Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9016608Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9016795Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.9017001Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9017178Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9017603Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.9017808Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9018009Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:38.9018180Z              18 BINARY_SUBSCR
2022-11-23T02:04:38.9018321Z              20 CALL_FUNCTION            3
2022-11-23T02:04:38.9018475Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.9018603Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9018732Z              26 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9018845Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.9018975Z              30 BUILD_TUPLE              1
2022-11-23T02:04:38.9019088Z              32 RETURN_VALUE
2022-11-23T02:04:38.9019108Z 
2022-11-23T02:04:38.9019201Z  
2022-11-23T02:04:38.9019490Z [2022-11-23 01:52:55,032] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.9019577Z  - 
2022-11-23T02:04:38.9019743Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.9019844Z             {
2022-11-23T02:04:38.9020037Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.9020293Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:38.9020467Z                 'obj_weakref': None
2022-11-23T02:04:38.9020860Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.9020949Z             }
2022-11-23T02:04:38.9021048Z             
2022-11-23T02:04:38.9021159Z  - 
2022-11-23T02:04:38.9021336Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.9021433Z             {
2022-11-23T02:04:38.9021630Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9021782Z                 'code': None,
2022-11-23T02:04:38.9022052Z                 'obj_weakref': <weakref at 0x7fa531f7e5c0; to 'Tensor' at 0x7fa550110130>
2022-11-23T02:04:38.9022392Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9022497Z             }
2022-11-23T02:04:38.9022593Z             
2022-11-23T02:04:38.9022700Z  - 
2022-11-23T02:04:38.9022941Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.9023037Z             {
2022-11-23T02:04:38.9023219Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9023374Z                 'code': None,
2022-11-23T02:04:38.9023661Z                 'obj_weakref': <weakref at 0x7fa55003efc0; to 'Tensor' at 0x7fa53c474770>
2022-11-23T02:04:38.9024002Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9024100Z             }
2022-11-23T02:04:38.9024194Z             
2022-11-23T02:04:38.9024298Z  - 
2022-11-23T02:04:38.9024455Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:38.9024552Z             {
2022-11-23T02:04:38.9024751Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9024904Z                 'code': None,
2022-11-23T02:04:38.9025194Z                 'obj_weakref': <weakref at 0x7fa531fef8d0; to 'Tensor' at 0x7fa532163dd0>
2022-11-23T02:04:38.9025533Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9025630Z             }
2022-11-23T02:04:38.9025712Z             
2022-11-23T02:04:38.9025818Z  - 
2022-11-23T02:04:38.9025999Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.9026094Z             {
2022-11-23T02:04:38.9026279Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.9026516Z                 'code': ['___check_obj_id(model, 140347994911456)'],
2022-11-23T02:04:38.9026748Z                 'obj_weakref': None
2022-11-23T02:04:38.9027039Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.9027138Z             }
2022-11-23T02:04:38.9027234Z             
2022-11-23T02:04:38.9027339Z  - 
2022-11-23T02:04:38.9027514Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.9027682Z             {
2022-11-23T02:04:38.9027877Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.9028153Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.9028325Z                 'obj_weakref': None
2022-11-23T02:04:38.9028630Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.9028727Z             }
2022-11-23T02:04:38.9028821Z             
2022-11-23T02:04:38.9028926Z  - 
2022-11-23T02:04:38.9029108Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.9029185Z             {
2022-11-23T02:04:38.9029353Z                 'guard_types': None,
2022-11-23T02:04:38.9029508Z                 'code': None,
2022-11-23T02:04:38.9029671Z                 'obj_weakref': None
2022-11-23T02:04:38.9029840Z                 'guarded_class': None
2022-11-23T02:04:38.9029937Z             }
2022-11-23T02:04:38.9030034Z             
2022-11-23T02:04:38.9030376Z [2022-11-23 01:52:55,042] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 145
2022-11-23T02:04:38.9030923Z [2022-11-23 01:52:55,050] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/an/can4luaqoribuwvqliywjj22mjwxxrd634ntqyssizp6uqsgxutc.py
2022-11-23T02:04:38.9031294Z [2022-11-23 01:52:55,051] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 145
2022-11-23T02:04:38.9031314Z 
2022-11-23T02:04:38.9031450Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.9031557Z import torch
2022-11-23T02:04:38.9031662Z import random
2022-11-23T02:04:38.9031826Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.9031996Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.9032015Z 
2022-11-23T02:04:38.9032112Z aten = torch.ops.aten
2022-11-23T02:04:38.9032299Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.9032433Z async_compile = AsyncCompile()
2022-11-23T02:04:38.9032456Z 
2022-11-23T02:04:38.9032475Z 
2022-11-23T02:04:38.9032608Z async_compile.wait(globals())
2022-11-23T02:04:38.9032716Z del async_compile
2022-11-23T02:04:38.9032735Z 
2022-11-23T02:04:38.9032841Z def call(args):
2022-11-23T02:04:38.9032962Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:38.9033069Z     args.clear()
2022-11-23T02:04:38.9033236Z     buf0 = aten.convolution(arg0_1, arg1_1, arg2_1, (4,), (0,), (1,), True, (0,), 1)
2022-11-23T02:04:38.9033390Z     assert_size_stride(buf0, (2, 16, 364), (5824, 364, 1))
2022-11-23T02:04:38.9033495Z     del arg0_1
2022-11-23T02:04:38.9033596Z     del arg1_1
2022-11-23T02:04:38.9033696Z     del arg2_1
2022-11-23T02:04:38.9033807Z     return (buf0, )
2022-11-23T02:04:38.9033826Z 
2022-11-23T02:04:38.9033844Z 
2022-11-23T02:04:38.9033956Z if __name__ == "__main__":
2022-11-23T02:04:38.9034100Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.9034277Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.9034578Z     arg0_1 = rand_strided((2, 32, 90), (2880, 90, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9034867Z     arg1_1 = rand_strided((32, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9035135Z     arg2_1 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9035311Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:38.9035331Z 
2022-11-23T02:04:38.9035434Z ok (0.053s)
2022-11-23T02:04:38.9035839Z   test_cos_cpu (__main__.CpuTests) ... [2022-11-23 01:52:55,058] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.9036261Z [2022-11-23 01:52:55,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.9036541Z [2022-11-23 01:52:55,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.9036881Z [2022-11-23 01:52:55,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.9037322Z [2022-11-23 01:52:55,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.9037752Z [2022-11-23 01:52:55,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9038212Z [2022-11-23 01:52:55,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9038642Z [2022-11-23 01:52:55,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9039146Z [2022-11-23 01:52:55,059] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fbaa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2134> 
2022-11-23T02:04:38.9039291Z  2135           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9039426Z                2 LOAD_METHOD              1 (cos)
2022-11-23T02:04:38.9039540Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:38.9039727Z                6 CALL_METHOD              1
2022-11-23T02:04:38.9039865Z                8 LOAD_CONST               1 (2)
2022-11-23T02:04:38.9039976Z               10 BINARY_ADD
2022-11-23T02:04:38.9040114Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9040248Z               14 LOAD_METHOD              1 (cos)
2022-11-23T02:04:38.9040379Z               16 LOAD_FAST                0 (x)
2022-11-23T02:04:38.9040508Z               18 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9040599Z               20 BINARY_ADD
2022-11-23T02:04:38.9040725Z               22 CALL_METHOD              1
2022-11-23T02:04:38.9040893Z               24 BUILD_TUPLE              2
2022-11-23T02:04:38.9041005Z               26 RETURN_VALUE
2022-11-23T02:04:38.9041099Z  
2022-11-23T02:04:38.9041119Z 
2022-11-23T02:04:38.9041552Z [2022-11-23 01:52:55,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2135
2022-11-23T02:04:38.9041852Z [2022-11-23 01:52:55,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.9042244Z [2022-11-23 01:52:55,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9042577Z [2022-11-23 01:52:55,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.cos)]
2022-11-23T02:04:38.9042959Z [2022-11-23 01:52:55,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.cos), TensorVariable()]
2022-11-23T02:04:38.9043278Z [2022-11-23 01:52:55,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:38.9043654Z [2022-11-23 01:52:55,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.9043988Z [2022-11-23 01:52:55,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.9044431Z [2022-11-23 01:52:55,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9044804Z [2022-11-23 01:52:55,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.cos)]
2022-11-23T02:04:38.9045211Z [2022-11-23 01:52:55,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T02:04:38.9045671Z [2022-11-23 01:52:55,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.cos), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.9046091Z [2022-11-23 01:52:55,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T02:04:38.9046501Z [2022-11-23 01:52:55,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9046835Z [2022-11-23 01:52:55,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9047345Z [2022-11-23 01:52:55,083] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fbaa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2134>
2022-11-23T02:04:38.9047676Z [2022-11-23 01:52:55,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9047993Z [2022-11-23 01:52:55,083] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.9048336Z [2022-11-23 01:52:55,085] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.9048682Z [2022-11-23 01:52:55,092] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.9048942Z [2022-11-23 01:52:55,093] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.9049281Z  __compiled_fn_147 <eval_with_key>.1341 opcode, name, target, args, kwargs
2022-11-23T02:04:38.9049402Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.9049545Z call_function, cos, aten.cos, (ex_0_,), {}
2022-11-23T02:04:38.9049783Z call_function, add, <built-in function add>, (cos, 2), {}
2022-11-23T02:04:38.9050029Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:38.9050182Z call_function, cos_1, aten.cos, (add_1,), {}
2022-11-23T02:04:38.9050329Z output, output, output, ((add, cos_1),), {}
2022-11-23T02:04:38.9050349Z 
2022-11-23T02:04:38.9050788Z [2022-11-23 01:52:55,093] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9050933Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.9051051Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9051178Z               4 BUILD_MAP                0
2022-11-23T02:04:38.9051319Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.9051444Z               8 DICT_MERGE               1
2022-11-23T02:04:38.9051573Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.9051687Z              12 RETURN_VALUE
2022-11-23T02:04:38.9051707Z 
2022-11-23T02:04:38.9051800Z  
2022-11-23T02:04:38.9052213Z [2022-11-23 01:52:55,093] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9052372Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_147)
2022-11-23T02:04:38.9052502Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9052634Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9052752Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.9052879Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.9053025Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.9053176Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9053291Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9053413Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.9053583Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9053686Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9053795Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.9053927Z              24 BUILD_TUPLE              2
2022-11-23T02:04:38.9054070Z              26 RETURN_VALUE
2022-11-23T02:04:38.9054070Z 
2022-11-23T02:04:38.9054156Z  
2022-11-23T02:04:38.9054614Z [2022-11-23 01:52:55,095] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.9054808Z  - 
2022-11-23T02:04:38.9055264Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.9055361Z             {
2022-11-23T02:04:38.9055767Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.9056774Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:38.9057391Z                 'obj_weakref': None
2022-11-23T02:04:38.9058203Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.9058671Z             }
2022-11-23T02:04:38.9058973Z             
2022-11-23T02:04:38.9059391Z  - 
2022-11-23T02:04:38.9059897Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.9060266Z             {
2022-11-23T02:04:38.9060756Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9061222Z                 'code': None,
2022-11-23T02:04:38.9061909Z                 'obj_weakref': <weakref at 0x7fa53c4ab5b0; to 'Tensor' at 0x7fa5503dcdb0>
2022-11-23T02:04:38.9062944Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9063582Z             }
2022-11-23T02:04:38.9063956Z             
2022-11-23T02:04:38.9064424Z  - 
2022-11-23T02:04:38.9064991Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.9065777Z             {
2022-11-23T02:04:38.9066432Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.9067190Z                 'code': ['___check_obj_id(model, 140347994911456)'],
2022-11-23T02:04:38.9067845Z                 'obj_weakref': None
2022-11-23T02:04:38.9068745Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.9069348Z             }
2022-11-23T02:04:38.9069772Z             
2022-11-23T02:04:38.9070190Z  - 
2022-11-23T02:04:38.9070661Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.9071158Z             {
2022-11-23T02:04:38.9071808Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.9072488Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.9072886Z                 'obj_weakref': None
2022-11-23T02:04:38.9073325Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.9073648Z             }
2022-11-23T02:04:38.9073868Z             
2022-11-23T02:04:38.9074076Z  - 
2022-11-23T02:04:38.9074376Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.9074633Z             {
2022-11-23T02:04:38.9074911Z                 'guard_types': None,
2022-11-23T02:04:38.9075217Z                 'code': None,
2022-11-23T02:04:38.9075532Z                 'obj_weakref': None
2022-11-23T02:04:38.9075899Z                 'guarded_class': None
2022-11-23T02:04:38.9076228Z             }
2022-11-23T02:04:38.9076364Z             
2022-11-23T02:04:38.9076842Z [2022-11-23 01:52:55,106] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 146
2022-11-23T02:04:38.9077647Z [2022-11-23 01:52:57,724] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u2/cu2v45fxjkf4sdiww32dyjvwqd7ywds2nppu5qnxyqhmun5c5gh5.py
2022-11-23T02:04:38.9078298Z [2022-11-23 01:52:57,725] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 146
2022-11-23T02:04:38.9078578Z 
2022-11-23T02:04:38.9078715Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.9078965Z import torch
2022-11-23T02:04:38.9079200Z import random
2022-11-23T02:04:38.9079493Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.9079832Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.9080048Z 
2022-11-23T02:04:38.9080164Z aten = torch.ops.aten
2022-11-23T02:04:38.9080498Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.9080834Z async_compile = AsyncCompile()
2022-11-23T02:04:38.9080997Z 
2022-11-23T02:04:38.9081016Z 
2022-11-23T02:04:38.9081216Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.9081872Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.9082334Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.9082646Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.9082955Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:38.9083211Z {
2022-11-23T02:04:38.9083449Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.9083710Z     {
2022-11-23T02:04:38.9083943Z         #pragma omp for 
2022-11-23T02:04:38.9084186Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:38.9084434Z         {
2022-11-23T02:04:38.9084782Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.9085114Z             auto tmp1 = tmp0.cos();
2022-11-23T02:04:38.9085433Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:38.9085761Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:38.9086095Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:38.9086499Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T02:04:38.9086774Z             auto tmp6 = tmp5.cos();
2022-11-23T02:04:38.9087053Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.9087400Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T02:04:38.9087664Z         }
2022-11-23T02:04:38.9087918Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.9088182Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T02:04:38.9088422Z         {
2022-11-23T02:04:38.9088691Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.9088930Z             auto tmp1 = std::cos(tmp0);
2022-11-23T02:04:38.9089226Z             auto tmp2 = static_cast<float>(2);
2022-11-23T02:04:38.9089536Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:38.9089803Z             auto tmp4 = static_cast<float>(1);
2022-11-23T02:04:38.9090071Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T02:04:38.9090349Z             auto tmp6 = std::cos(tmp5);
2022-11-23T02:04:38.9090624Z             out_ptr0[i0] = tmp3;
2022-11-23T02:04:38.9090866Z             out_ptr1[i0] = tmp6;
2022-11-23T02:04:38.9091121Z         }
2022-11-23T02:04:38.9091334Z     }
2022-11-23T02:04:38.9091501Z }
2022-11-23T02:04:38.9091753Z ''')
2022-11-23T02:04:38.9091899Z 
2022-11-23T02:04:38.9091918Z 
2022-11-23T02:04:38.9092052Z async_compile.wait(globals())
2022-11-23T02:04:38.9092300Z del async_compile
2022-11-23T02:04:38.9092455Z 
2022-11-23T02:04:38.9092560Z def call(args):
2022-11-23T02:04:38.9092804Z     arg0_1, = args
2022-11-23T02:04:38.9093024Z     args.clear()
2022-11-23T02:04:38.9093437Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9093914Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9094324Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:38.9094663Z     del arg0_1
2022-11-23T02:04:38.9094912Z     return (buf0, buf1, )
2022-11-23T02:04:38.9095077Z 
2022-11-23T02:04:38.9095098Z 
2022-11-23T02:04:38.9095212Z if __name__ == "__main__":
2022-11-23T02:04:38.9095499Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.9095858Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.9096975Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9097554Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.9097901Z 
2022-11-23T02:04:38.9098070Z ok (2.674s)
2022-11-23T02:04:38.9098495Z   test_cudnn_rnn_cpu (__main__.CpuTests) ... skip: requires CUDA (0.003s)
2022-11-23T02:04:38.9099003Z   test_dense_mask_index_cpu (__main__.CpuTests) ... skip: https://github.com/pytorch/torchdynamo/issues/1697 (0.001s)
2022-11-23T02:04:38.9099681Z   test_div1_cpu (__main__.CpuTests) ... [2022-11-23 01:52:57,737] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.9100379Z [2022-11-23 01:52:57,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.9101148Z [2022-11-23 01:52:57,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.9101722Z [2022-11-23 01:52:57,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.9102328Z [2022-11-23 01:52:57,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.9103021Z [2022-11-23 01:52:57,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9103790Z [2022-11-23 01:52:57,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9104542Z [2022-11-23 01:52:57,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9105560Z [2022-11-23 01:52:57,738] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641130660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1061> 
2022-11-23T02:04:38.9106040Z  1063           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9106330Z                2 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9106600Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9106886Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9107166Z                8 LOAD_CONST               0 (None)
2022-11-23T02:04:38.9107553Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9107843Z               12 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9108022Z 
2022-11-23T02:04:38.9108154Z 1064          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9108444Z               16 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9108712Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9108997Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9109351Z               22 LOAD_CONST               2 ('floor')
2022-11-23T02:04:38.9109722Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9110037Z               26 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9110217Z 
2022-11-23T02:04:38.9110351Z 1065          28 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9110636Z               30 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9110897Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9111175Z               34 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9111528Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T02:04:38.9111894Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9112198Z               40 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9112388Z 
2022-11-23T02:04:38.9112516Z 1066          42 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9112778Z               44 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9113044Z               46 BINARY_TRUE_DIVIDE
2022-11-23T02:04:38.9113214Z 
2022-11-23T02:04:38.9113347Z 1067          48 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9113624Z               50 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9113881Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T02:04:38.9114057Z 
2022-11-23T02:04:38.9114188Z 1062          54 BUILD_TUPLE              5
2022-11-23T02:04:38.9114451Z               56 RETURN_VALUE
2022-11-23T02:04:38.9114666Z  
2022-11-23T02:04:38.9114796Z 
2022-11-23T02:04:38.9115231Z [2022-11-23 01:52:57,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1063
2022-11-23T02:04:38.9115823Z [2022-11-23 01:52:57,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.9116547Z [2022-11-23 01:52:57,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9117161Z [2022-11-23 01:52:57,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T02:04:38.9117772Z [2022-11-23 01:52:57,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9118447Z [2022-11-23 01:52:57,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9119237Z [2022-11-23 01:52:57,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:38.9120089Z [2022-11-23 01:52:57,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T02:04:38.9120877Z [2022-11-23 01:52:57,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1064
2022-11-23T02:04:38.9121575Z [2022-11-23 01:52:57,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.9122273Z [2022-11-23 01:52:57,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9122933Z [2022-11-23 01:52:57,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9123606Z [2022-11-23 01:52:57,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9124345Z [2022-11-23 01:52:57,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9125196Z [2022-11-23 01:52:57,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9126113Z [2022-11-23 01:52:57,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9126960Z [2022-11-23 01:52:57,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1065
2022-11-23T02:04:38.9127631Z [2022-11-23 01:52:57,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9128376Z [2022-11-23 01:52:57,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9129124Z [2022-11-23 01:52:57,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9129844Z [2022-11-23 01:52:57,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9130645Z [2022-11-23 01:52:57,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9131549Z [2022-11-23 01:52:57,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9132529Z [2022-11-23 01:52:57,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9133518Z [2022-11-23 01:52:57,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1066
2022-11-23T02:04:38.9134189Z [2022-11-23 01:52:57,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9134899Z [2022-11-23 01:52:57,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9135701Z [2022-11-23 01:52:57,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9137302Z [2022-11-23 01:52:57,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1067
2022-11-23T02:04:38.9138478Z [2022-11-23 01:52:57,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9139443Z [2022-11-23 01:52:57,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9140302Z [2022-11-23 01:52:57,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9141078Z [2022-11-23 01:52:57,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1062
2022-11-23T02:04:38.9141834Z [2022-11-23 01:52:57,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9142478Z [2022-11-23 01:52:57,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9143226Z [2022-11-23 01:52:57,786] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641130660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1061>
2022-11-23T02:04:38.9143888Z [2022-11-23 01:52:57,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9144447Z [2022-11-23 01:52:57,786] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.9145001Z [2022-11-23 01:52:57,789] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.9145586Z [2022-11-23 01:52:57,806] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.9146093Z [2022-11-23 01:52:57,807] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.9146483Z  __compiled_fn_148 <eval_with_key>.1347 opcode, name, target, args, kwargs
2022-11-23T02:04:38.9146801Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.9147090Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.9147503Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T02:04:38.9147946Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T02:04:38.9148429Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T02:04:38.9148884Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9149340Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9149738Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T02:04:38.9149973Z 
2022-11-23T02:04:38.9150415Z [2022-11-23 01:52:57,807] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9150998Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.9151271Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9151558Z               4 BUILD_MAP                0
2022-11-23T02:04:38.9151848Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.9152109Z               8 DICT_MERGE               1
2022-11-23T02:04:38.9152388Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.9152652Z              12 RETURN_VALUE
2022-11-23T02:04:38.9152816Z 
2022-11-23T02:04:38.9152891Z  
2022-11-23T02:04:38.9153448Z [2022-11-23 01:52:57,808] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9153907Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_148)
2022-11-23T02:04:38.9154207Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9154482Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9154748Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.9155026Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9155360Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9155635Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.9155907Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.9156198Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.9156508Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9156796Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9157042Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.9157328Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9157621Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9157883Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.9158150Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9158448Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:38.9158706Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.9158970Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9159267Z              38 LOAD_CONST               4 (3)
2022-11-23T02:04:38.9159531Z              40 BINARY_SUBSCR
2022-11-23T02:04:38.9159796Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9160083Z              44 LOAD_CONST               5 (4)
2022-11-23T02:04:38.9160345Z              46 BINARY_SUBSCR
2022-11-23T02:04:38.9160594Z              48 BUILD_TUPLE              5
2022-11-23T02:04:38.9160858Z              50 RETURN_VALUE
2022-11-23T02:04:38.9161022Z 
2022-11-23T02:04:38.9161114Z  
2022-11-23T02:04:38.9161488Z [2022-11-23 01:52:57,809] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.9161793Z  - 
2022-11-23T02:04:38.9162079Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.9162332Z             {
2022-11-23T02:04:38.9162634Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.9163063Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.9163421Z                 'obj_weakref': None
2022-11-23T02:04:38.9163862Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.9164187Z             }
2022-11-23T02:04:38.9164406Z             
2022-11-23T02:04:38.9164621Z  - 
2022-11-23T02:04:38.9164915Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.9165165Z             {
2022-11-23T02:04:38.9165470Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9165791Z                 'code': None,
2022-11-23T02:04:38.9166227Z                 'obj_weakref': <weakref at 0x7fa532270c20; to 'Tensor' at 0x7fa5503dcdb0>
2022-11-23T02:04:38.9166763Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9167215Z             }
2022-11-23T02:04:38.9167436Z             
2022-11-23T02:04:38.9167649Z  - 
2022-11-23T02:04:38.9167940Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.9168187Z             {
2022-11-23T02:04:38.9168512Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9168819Z                 'code': None,
2022-11-23T02:04:38.9169237Z                 'obj_weakref': <weakref at 0x7fa532270cc0; to 'Tensor' at 0x7fa550110130>
2022-11-23T02:04:38.9169778Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9170088Z             }
2022-11-23T02:04:38.9170307Z             
2022-11-23T02:04:38.9170533Z  - 
2022-11-23T02:04:38.9170820Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.9171078Z             {
2022-11-23T02:04:38.9171388Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.9171766Z                 'code': ['___check_obj_id(model, 140347994911456)'],
2022-11-23T02:04:38.9172121Z                 'obj_weakref': None
2022-11-23T02:04:38.9172581Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.9172885Z             }
2022-11-23T02:04:38.9173176Z             
2022-11-23T02:04:38.9173412Z  - 
2022-11-23T02:04:38.9173682Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.9173936Z             {
2022-11-23T02:04:38.9174250Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.9174689Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.9175068Z                 'obj_weakref': None
2022-11-23T02:04:38.9175521Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.9175836Z             }
2022-11-23T02:04:38.9176519Z             
2022-11-23T02:04:38.9176946Z  - 
2022-11-23T02:04:38.9177451Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.9177878Z             {
2022-11-23T02:04:38.9178359Z                 'guard_types': None,
2022-11-23T02:04:38.9178673Z                 'code': None,
2022-11-23T02:04:38.9178962Z                 'obj_weakref': None
2022-11-23T02:04:38.9179288Z                 'guarded_class': None
2022-11-23T02:04:38.9179620Z             }
2022-11-23T02:04:38.9179818Z             
2022-11-23T02:04:38.9180304Z [2022-11-23 01:52:57,835] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 147
2022-11-23T02:04:38.9181052Z [2022-11-23 01:53:00,484] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/if/cifunlg7vylamogk4hjimbig7remfxjmpnmidjhvm67rrcz4dtgz.py
2022-11-23T02:04:38.9181770Z [2022-11-23 01:53:00,485] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 147
2022-11-23T02:04:38.9182040Z 
2022-11-23T02:04:38.9182177Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.9182445Z import torch
2022-11-23T02:04:38.9182685Z import random
2022-11-23T02:04:38.9182964Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.9183320Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.9183533Z 
2022-11-23T02:04:38.9183648Z aten = torch.ops.aten
2022-11-23T02:04:38.9183966Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.9184309Z async_compile = AsyncCompile()
2022-11-23T02:04:38.9184492Z 
2022-11-23T02:04:38.9184510Z 
2022-11-23T02:04:38.9184709Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.9185154Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.9185591Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.9185924Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.9186236Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.9186582Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:38.9187085Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:38.9187505Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:38.9187786Z                        float* __restrict__ out_ptr4)
2022-11-23T02:04:38.9188058Z {
2022-11-23T02:04:38.9188304Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.9188553Z     {
2022-11-23T02:04:38.9188782Z         #pragma omp for 
2022-11-23T02:04:38.9189032Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:38.9199439Z         {
2022-11-23T02:04:38.9199799Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.9200207Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:38.9200529Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:38.9200835Z             auto tmp3 = tmp2.floor();
2022-11-23T02:04:38.9201129Z             auto tmp4 = tmp2.trunc();
2022-11-23T02:04:38.9201403Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.9201715Z             tmp3.store(out_ptr1 + 8*i0);
2022-11-23T02:04:38.9202015Z             tmp4.store(out_ptr2 + 8*i0);
2022-11-23T02:04:38.9202293Z             tmp2.store(out_ptr3 + 8*i0);
2022-11-23T02:04:38.9202589Z             tmp3.store(out_ptr4 + 8*i0);
2022-11-23T02:04:38.9202850Z         }
2022-11-23T02:04:38.9203326Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.9203650Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:38.9203916Z         {
2022-11-23T02:04:38.9204153Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.9204444Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:38.9204736Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:38.9205013Z             auto tmp3 = std::floor(tmp2);
2022-11-23T02:04:38.9205319Z             auto tmp4 = std::trunc(tmp2);
2022-11-23T02:04:38.9205611Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.9205861Z             out_ptr1[i0] = tmp3;
2022-11-23T02:04:38.9206135Z             out_ptr2[i0] = tmp4;
2022-11-23T02:04:38.9206412Z             out_ptr3[i0] = tmp2;
2022-11-23T02:04:38.9206741Z             out_ptr4[i0] = tmp3;
2022-11-23T02:04:38.9206966Z         }
2022-11-23T02:04:38.9207198Z     }
2022-11-23T02:04:38.9207433Z }
2022-11-23T02:04:38.9207772Z ''')
2022-11-23T02:04:38.9207928Z 
2022-11-23T02:04:38.9207946Z 
2022-11-23T02:04:38.9208098Z async_compile.wait(globals())
2022-11-23T02:04:38.9208389Z del async_compile
2022-11-23T02:04:38.9208528Z 
2022-11-23T02:04:38.9208646Z def call(args):
2022-11-23T02:04:38.9208903Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.9209160Z     args.clear()
2022-11-23T02:04:38.9209583Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9210074Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9210550Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9210992Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9211471Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9212049Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T02:04:38.9212517Z     del arg0_1
2022-11-23T02:04:38.9212734Z     del arg1_1
2022-11-23T02:04:38.9213009Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T02:04:38.9213200Z 
2022-11-23T02:04:38.9213218Z 
2022-11-23T02:04:38.9213337Z if __name__ == "__main__":
2022-11-23T02:04:38.9213630Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.9214009Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.9214498Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9214993Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9215343Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.9215675Z 
2022-11-23T02:04:38.9215792Z ok (2.756s)
2022-11-23T02:04:38.9217221Z   test_div2_cpu (__main__.CpuTests) ... [2022-11-23 01:53:00,493] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.9218463Z [2022-11-23 01:53:00,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.9219110Z [2022-11-23 01:53:00,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.9219704Z [2022-11-23 01:53:00,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.9220354Z [2022-11-23 01:53:00,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.9221042Z [2022-11-23 01:53:00,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9221839Z [2022-11-23 01:53:00,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9222804Z [2022-11-23 01:53:00,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9223655Z [2022-11-23 01:53:00,495] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa6411307c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1073> 
2022-11-23T02:04:38.9224118Z  1075           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9224426Z                2 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9224733Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9225029Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9225304Z                8 LOAD_CONST               0 (None)
2022-11-23T02:04:38.9225715Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9226036Z               12 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9226228Z 
2022-11-23T02:04:38.9226343Z 1076          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9226651Z               16 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9226954Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9227221Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9227589Z               22 LOAD_CONST               2 ('floor')
2022-11-23T02:04:38.9227997Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9228297Z               26 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9228482Z 
2022-11-23T02:04:38.9228626Z 1077          28 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9228921Z               30 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9229218Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9229493Z               34 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9229861Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T02:04:38.9230254Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9230555Z               40 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9230744Z 
2022-11-23T02:04:38.9230881Z 1078          42 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9231175Z               44 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9231438Z               46 BINARY_TRUE_DIVIDE
2022-11-23T02:04:38.9231612Z 
2022-11-23T02:04:38.9231750Z 1079          48 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9232040Z               50 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9232322Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T02:04:38.9232477Z 
2022-11-23T02:04:38.9232618Z 1074          54 BUILD_TUPLE              5
2022-11-23T02:04:38.9232891Z               56 RETURN_VALUE
2022-11-23T02:04:38.9233136Z  
2022-11-23T02:04:38.9233454Z 
2022-11-23T02:04:38.9233909Z [2022-11-23 01:53:00,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1075
2022-11-23T02:04:38.9234518Z [2022-11-23 01:53:00,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.9235162Z [2022-11-23 01:53:00,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9235799Z [2022-11-23 01:53:00,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T02:04:38.9236406Z [2022-11-23 01:53:00,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9237098Z [2022-11-23 01:53:00,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9237893Z [2022-11-23 01:53:00,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:38.9238873Z [2022-11-23 01:53:00,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T02:04:38.9239661Z [2022-11-23 01:53:00,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1076
2022-11-23T02:04:38.9240305Z [2022-11-23 01:53:00,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.9240996Z [2022-11-23 01:53:00,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9241682Z [2022-11-23 01:53:00,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9242347Z [2022-11-23 01:53:00,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9243107Z [2022-11-23 01:53:00,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9243970Z [2022-11-23 01:53:00,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9244918Z [2022-11-23 01:53:00,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9245745Z [2022-11-23 01:53:00,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1077
2022-11-23T02:04:38.9246407Z [2022-11-23 01:53:00,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9247173Z [2022-11-23 01:53:00,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9247926Z [2022-11-23 01:53:00,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9248675Z [2022-11-23 01:53:00,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9249461Z [2022-11-23 01:53:00,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9250477Z [2022-11-23 01:53:00,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9251465Z [2022-11-23 01:53:00,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9252333Z [2022-11-23 01:53:00,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1078
2022-11-23T02:04:38.9253032Z [2022-11-23 01:53:00,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9253723Z [2022-11-23 01:53:00,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9254532Z [2022-11-23 01:53:00,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9255410Z [2022-11-23 01:53:00,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1079
2022-11-23T02:04:38.9256794Z [2022-11-23 01:53:00,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9258218Z [2022-11-23 01:53:00,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9259141Z [2022-11-23 01:53:00,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9259946Z [2022-11-23 01:53:00,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1074
2022-11-23T02:04:38.9260712Z [2022-11-23 01:53:00,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9261378Z [2022-11-23 01:53:00,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9262113Z [2022-11-23 01:53:00,542] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa6411307c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1073>
2022-11-23T02:04:38.9262797Z [2022-11-23 01:53:00,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9263364Z [2022-11-23 01:53:00,542] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.9263961Z [2022-11-23 01:53:00,545] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.9264536Z [2022-11-23 01:53:00,562] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.9265054Z [2022-11-23 01:53:00,563] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.9265459Z  __compiled_fn_149 <eval_with_key>.1353 opcode, name, target, args, kwargs
2022-11-23T02:04:38.9265813Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.9266091Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.9266523Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T02:04:38.9267002Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T02:04:38.9267451Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T02:04:38.9267921Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9268621Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9269005Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T02:04:38.9269251Z 
2022-11-23T02:04:38.9269709Z [2022-11-23 01:53:00,563] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9270161Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.9270462Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9270731Z               4 BUILD_MAP                0
2022-11-23T02:04:38.9271035Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.9271326Z               8 DICT_MERGE               1
2022-11-23T02:04:38.9271594Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.9271879Z              12 RETURN_VALUE
2022-11-23T02:04:38.9272049Z 
2022-11-23T02:04:38.9272150Z  
2022-11-23T02:04:38.9272727Z [2022-11-23 01:53:00,563] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9273178Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_149)
2022-11-23T02:04:38.9273660Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9273971Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9274223Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.9274507Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9274801Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9275053Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.9275338Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.9275656Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.9275967Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9276268Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9276551Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.9276848Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9277129Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9277407Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.9277704Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9277998Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:38.9278270Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.9278570Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9278847Z              38 LOAD_CONST               4 (3)
2022-11-23T02:04:38.9279118Z              40 BINARY_SUBSCR
2022-11-23T02:04:38.9279407Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9279687Z              44 LOAD_CONST               5 (4)
2022-11-23T02:04:38.9279961Z              46 BINARY_SUBSCR
2022-11-23T02:04:38.9280244Z              48 BUILD_TUPLE              5
2022-11-23T02:04:38.9280509Z              50 RETURN_VALUE
2022-11-23T02:04:38.9280678Z 
2022-11-23T02:04:38.9280773Z  
2022-11-23T02:04:38.9281180Z [2022-11-23 01:53:00,565] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.9281496Z  - 
2022-11-23T02:04:38.9281782Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.9282044Z             {
2022-11-23T02:04:38.9282381Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.9282797Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.9283172Z                 'obj_weakref': None
2022-11-23T02:04:38.9283647Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.9283951Z             }
2022-11-23T02:04:38.9284180Z             
2022-11-23T02:04:38.9284428Z  - 
2022-11-23T02:04:38.9284710Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.9284815Z             {
2022-11-23T02:04:38.9285019Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9285264Z                 'code': None,
2022-11-23T02:04:38.9285554Z                 'obj_weakref': <weakref at 0x7fa532271580; to 'Tensor' at 0x7fa53210a8e0>
2022-11-23T02:04:38.9285908Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9286011Z             }
2022-11-23T02:04:38.9286094Z             
2022-11-23T02:04:38.9286209Z  - 
2022-11-23T02:04:38.9286494Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.9286597Z             {
2022-11-23T02:04:38.9286804Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9286961Z                 'code': None,
2022-11-23T02:04:38.9287226Z                 'obj_weakref': <weakref at 0x7fa532272660; to 'Tensor' at 0x7fa531fc1580>
2022-11-23T02:04:38.9287572Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9287676Z             }
2022-11-23T02:04:38.9287780Z             
2022-11-23T02:04:38.9287898Z  - 
2022-11-23T02:04:38.9288087Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.9288188Z             {
2022-11-23T02:04:38.9288359Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.9288658Z                 'code': ['___check_obj_id(model, 140347994911456)'],
2022-11-23T02:04:38.9288908Z                 'obj_weakref': None
2022-11-23T02:04:38.9289224Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.9289325Z             }
2022-11-23T02:04:38.9289425Z             
2022-11-23T02:04:38.9289534Z  - 
2022-11-23T02:04:38.9289690Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.9289791Z             {
2022-11-23T02:04:38.9289984Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.9290287Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.9290463Z                 'obj_weakref': None
2022-11-23T02:04:38.9290772Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.9290874Z             }
2022-11-23T02:04:38.9290950Z             
2022-11-23T02:04:38.9291059Z  - 
2022-11-23T02:04:38.9291257Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.9291360Z             {
2022-11-23T02:04:38.9291537Z                 'guard_types': None,
2022-11-23T02:04:38.9291693Z                 'code': None,
2022-11-23T02:04:38.9291858Z                 'obj_weakref': None
2022-11-23T02:04:38.9292009Z                 'guarded_class': None
2022-11-23T02:04:38.9292111Z             }
2022-11-23T02:04:38.9292210Z             
2022-11-23T02:04:38.9292571Z [2022-11-23 01:53:00,588] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 148
2022-11-23T02:04:38.9293066Z [2022-11-23 01:53:03,227] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dl/cdlsc3vrd5yvistmqr2k4acprxiat2kr2dazue6ndjr62vbjdvub.py
2022-11-23T02:04:38.9293433Z [2022-11-23 01:53:03,228] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 148
2022-11-23T02:04:38.9293456Z 
2022-11-23T02:04:38.9293596Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.9293710Z import torch
2022-11-23T02:04:38.9293800Z import random
2022-11-23T02:04:38.9293965Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.9294170Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.9294170Z 
2022-11-23T02:04:38.9294296Z aten = torch.ops.aten
2022-11-23T02:04:38.9294508Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.9294632Z async_compile = AsyncCompile()
2022-11-23T02:04:38.9294654Z 
2022-11-23T02:04:38.9294672Z 
2022-11-23T02:04:38.9294875Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.9295162Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.9295312Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:38.9295543Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.9295691Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.9295838Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:38.9295983Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:38.9296584Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:38.9296825Z                        float* __restrict__ out_ptr4)
2022-11-23T02:04:38.9296949Z {
2022-11-23T02:04:38.9297189Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.9297359Z     {
2022-11-23T02:04:38.9297547Z         #pragma omp for 
2022-11-23T02:04:38.9297749Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:38.9297901Z         {
2022-11-23T02:04:38.9298040Z             {
2022-11-23T02:04:38.9298122Z                 {
2022-11-23T02:04:38.9298264Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.9298410Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T02:04:38.9298568Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:38.9298705Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:38.9298886Z                     auto tmp4 = std::floor(tmp3);
2022-11-23T02:04:38.9299193Z                     auto tmp5 = std::trunc(tmp3);
2022-11-23T02:04:38.9299311Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:38.9299437Z                     out_ptr1[i0] = tmp4;
2022-11-23T02:04:38.9299564Z                     out_ptr2[i0] = tmp5;
2022-11-23T02:04:38.9299689Z                     out_ptr3[i0] = tmp3;
2022-11-23T02:04:38.9299815Z                     out_ptr4[i0] = tmp4;
2022-11-23T02:04:38.9299918Z                 }
2022-11-23T02:04:38.9300019Z             }
2022-11-23T02:04:38.9300095Z         }
2022-11-23T02:04:38.9300200Z     }
2022-11-23T02:04:38.9300295Z }
2022-11-23T02:04:38.9300452Z ''')
2022-11-23T02:04:38.9300476Z 
2022-11-23T02:04:38.9300494Z 
2022-11-23T02:04:38.9300638Z async_compile.wait(globals())
2022-11-23T02:04:38.9300755Z del async_compile
2022-11-23T02:04:38.9300775Z 
2022-11-23T02:04:38.9300889Z def call(args):
2022-11-23T02:04:38.9300984Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.9301098Z     args.clear()
2022-11-23T02:04:38.9301376Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9301646Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9301917Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9302180Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9302447Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9302797Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T02:04:38.9302887Z     del arg0_1
2022-11-23T02:04:38.9302991Z     del arg1_1
2022-11-23T02:04:38.9303134Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T02:04:38.9303154Z 
2022-11-23T02:04:38.9303172Z 
2022-11-23T02:04:38.9303291Z if __name__ == "__main__":
2022-11-23T02:04:38.9303468Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.9303643Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.9303913Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9304186Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9304332Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.9304381Z 
2022-11-23T02:04:38.9304466Z ok (2.742s)
2022-11-23T02:04:38.9304873Z   test_div3_cpu (__main__.CpuTests) ... [2022-11-23 01:53:03,236] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.9305313Z [2022-11-23 01:53:03,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.9305723Z [2022-11-23 01:53:03,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.9306079Z [2022-11-23 01:53:03,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.9306459Z [2022-11-23 01:53:03,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.9306897Z [2022-11-23 01:53:03,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9307362Z [2022-11-23 01:53:03,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9307833Z [2022-11-23 01:53:03,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9308653Z [2022-11-23 01:53:03,237] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641130920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1085> 
2022-11-23T02:04:38.9308854Z  1087           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9309083Z                2 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9309316Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9309543Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9309763Z                8 LOAD_CONST               0 (None)
2022-11-23T02:04:38.9310189Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9310428Z               12 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9310458Z 
2022-11-23T02:04:38.9310696Z 1088          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9310946Z               16 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9311185Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9311383Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9311590Z               22 LOAD_CONST               2 ('floor')
2022-11-23T02:04:38.9311873Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9312075Z               26 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9312136Z 
2022-11-23T02:04:38.9312359Z 1089          28 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9312566Z               30 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9312690Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9312869Z               34 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9313092Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T02:04:38.9313270Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9313409Z               40 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9313435Z 
2022-11-23T02:04:38.9313573Z 1090          42 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9313681Z               44 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9313812Z               46 BINARY_TRUE_DIVIDE
2022-11-23T02:04:38.9313831Z 
2022-11-23T02:04:38.9313967Z 1091          48 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9314103Z               50 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9314227Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T02:04:38.9314247Z 
2022-11-23T02:04:38.9314385Z 1086          54 BUILD_TUPLE              5
2022-11-23T02:04:38.9314503Z               56 RETURN_VALUE
2022-11-23T02:04:38.9314603Z  
2022-11-23T02:04:38.9314622Z 
2022-11-23T02:04:38.9315037Z [2022-11-23 01:53:03,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1087
2022-11-23T02:04:38.9315341Z [2022-11-23 01:53:03,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.9315868Z [2022-11-23 01:53:03,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9316217Z [2022-11-23 01:53:03,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T02:04:38.9316592Z [2022-11-23 01:53:03,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9317013Z [2022-11-23 01:53:03,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9317523Z [2022-11-23 01:53:03,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:38.9318060Z [2022-11-23 01:53:03,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T02:04:38.9318488Z [2022-11-23 01:53:03,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1088
2022-11-23T02:04:38.9318893Z [2022-11-23 01:53:03,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.9319923Z [2022-11-23 01:53:03,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9320631Z [2022-11-23 01:53:03,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9321416Z [2022-11-23 01:53:03,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9322289Z [2022-11-23 01:53:03,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9323314Z [2022-11-23 01:53:03,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9324393Z [2022-11-23 01:53:03,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9325204Z [2022-11-23 01:53:03,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1089
2022-11-23T02:04:38.9325898Z [2022-11-23 01:53:03,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9326923Z [2022-11-23 01:53:03,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9327726Z [2022-11-23 01:53:03,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9328592Z [2022-11-23 01:53:03,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9329548Z [2022-11-23 01:53:03,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9330642Z [2022-11-23 01:53:03,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9331804Z [2022-11-23 01:53:03,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9332771Z [2022-11-23 01:53:03,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1090
2022-11-23T02:04:38.9333434Z [2022-11-23 01:53:03,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9334198Z [2022-11-23 01:53:03,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9334995Z [2022-11-23 01:53:03,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9335760Z [2022-11-23 01:53:03,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1091
2022-11-23T02:04:38.9336863Z [2022-11-23 01:53:03,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9337927Z [2022-11-23 01:53:03,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9338901Z [2022-11-23 01:53:03,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9339631Z [2022-11-23 01:53:03,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1086
2022-11-23T02:04:38.9340512Z [2022-11-23 01:53:03,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9341085Z [2022-11-23 01:53:03,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9342063Z [2022-11-23 01:53:03,278] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641130920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1085>
2022-11-23T02:04:38.9342587Z [2022-11-23 01:53:03,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9343165Z [2022-11-23 01:53:03,278] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.9343791Z [2022-11-23 01:53:03,281] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.9344400Z [2022-11-23 01:53:03,293] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.9344843Z [2022-11-23 01:53:03,293] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.9345216Z  __compiled_fn_150 <eval_with_key>.1359 opcode, name, target, args, kwargs
2022-11-23T02:04:38.9345425Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.9345637Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.9346050Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T02:04:38.9346541Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T02:04:38.9346977Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T02:04:38.9347453Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9347929Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9348233Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T02:04:38.9348264Z 
2022-11-23T02:04:38.9349090Z [2022-11-23 01:53:03,294] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9349502Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.9349719Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9349930Z               4 BUILD_MAP                0
2022-11-23T02:04:38.9350158Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.9350354Z               8 DICT_MERGE               1
2022-11-23T02:04:38.9350558Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.9350738Z              12 RETURN_VALUE
2022-11-23T02:04:38.9350767Z 
2022-11-23T02:04:38.9350917Z  
2022-11-23T02:04:38.9351760Z [2022-11-23 01:53:03,294] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9351989Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_150)
2022-11-23T02:04:38.9352203Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9352443Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9352732Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.9352943Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9353227Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9353420Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.9353626Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.9353874Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.9354133Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9354331Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9354511Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.9354751Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9354964Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9355165Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.9355410Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9355619Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:38.9355796Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.9356026Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9356241Z              38 LOAD_CONST               4 (3)
2022-11-23T02:04:38.9356437Z              40 BINARY_SUBSCR
2022-11-23T02:04:38.9356682Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9356879Z              44 LOAD_CONST               5 (4)
2022-11-23T02:04:38.9357074Z              46 BINARY_SUBSCR
2022-11-23T02:04:38.9357291Z              48 BUILD_TUPLE              5
2022-11-23T02:04:38.9357482Z              50 RETURN_VALUE
2022-11-23T02:04:38.9357512Z 
2022-11-23T02:04:38.9357666Z  
2022-11-23T02:04:38.9358133Z [2022-11-23 01:53:03,295] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.9358312Z  - 
2022-11-23T02:04:38.9358574Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.9358749Z             {
2022-11-23T02:04:38.9359092Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.9359547Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.9359840Z                 'obj_weakref': None
2022-11-23T02:04:38.9360401Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.9360572Z             }
2022-11-23T02:04:38.9360709Z             
2022-11-23T02:04:38.9360895Z  - 
2022-11-23T02:04:38.9361209Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.9361373Z             {
2022-11-23T02:04:38.9361725Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9361987Z                 'code': None,
2022-11-23T02:04:38.9362504Z                 'obj_weakref': <weakref at 0x7fa531f7e340; to 'Tensor' at 0x7fa53218c860>
2022-11-23T02:04:38.9363098Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9363367Z             }
2022-11-23T02:04:38.9363533Z             
2022-11-23T02:04:38.9363719Z  - 
2022-11-23T02:04:38.9364027Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.9364192Z             {
2022-11-23T02:04:38.9364558Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9364798Z                 'code': None,
2022-11-23T02:04:38.9365310Z                 'obj_weakref': <weakref at 0x7fa559eeb740; to 'Tensor' at 0x7fa53210a8e0>
2022-11-23T02:04:38.9365930Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9366096Z             }
2022-11-23T02:04:38.9366258Z             
2022-11-23T02:04:38.9366436Z  - 
2022-11-23T02:04:38.9366760Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.9366901Z             {
2022-11-23T02:04:38.9367234Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.9367678Z                 'code': ['___check_obj_id(model, 140347994911456)'],
2022-11-23T02:04:38.9367991Z                 'obj_weakref': None
2022-11-23T02:04:38.9368553Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.9368716Z             }
2022-11-23T02:04:38.9368887Z             
2022-11-23T02:04:38.9369113Z  - 
2022-11-23T02:04:38.9369432Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.9369606Z             {
2022-11-23T02:04:38.9369957Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.9370453Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.9370728Z                 'obj_weakref': None
2022-11-23T02:04:38.9371287Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.9371411Z             }
2022-11-23T02:04:38.9371560Z             
2022-11-23T02:04:38.9371726Z  - 
2022-11-23T02:04:38.9372029Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.9372203Z             {
2022-11-23T02:04:38.9372516Z                 'guard_types': None,
2022-11-23T02:04:38.9372761Z                 'code': None,
2022-11-23T02:04:38.9372998Z                 'obj_weakref': None
2022-11-23T02:04:38.9373265Z                 'guarded_class': None
2022-11-23T02:04:38.9373427Z             }
2022-11-23T02:04:38.9373600Z             
2022-11-23T02:04:38.9374229Z [2022-11-23 01:53:03,316] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 149
2022-11-23T02:04:38.9375105Z [2022-11-23 01:53:05,940] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f4/cf44u4cqnwa77wvg5l6nnoyiu6j6tx7l5yetv35ov5kifmsgfh2c.py
2022-11-23T02:04:38.9375722Z [2022-11-23 01:53:05,941] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 149
2022-11-23T02:04:38.9375756Z 
2022-11-23T02:04:38.9375976Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.9376593Z import torch
2022-11-23T02:04:38.9376725Z import random
2022-11-23T02:04:38.9377021Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.9377295Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.9377321Z 
2022-11-23T02:04:38.9377508Z aten = torch.ops.aten
2022-11-23T02:04:38.9377845Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.9378124Z async_compile = AsyncCompile()
2022-11-23T02:04:38.9378155Z 
2022-11-23T02:04:38.9378175Z 
2022-11-23T02:04:38.9378539Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.9378889Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.9379173Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:38.9379444Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:38.9379711Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.9379936Z                        long* __restrict__ out_ptr1,
2022-11-23T02:04:38.9380374Z                        long* __restrict__ out_ptr2,
2022-11-23T02:04:38.9380599Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:38.9380802Z                        long* __restrict__ out_ptr4)
2022-11-23T02:04:38.9380970Z {
2022-11-23T02:04:38.9381240Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.9381382Z     {
2022-11-23T02:04:38.9381567Z         #pragma omp for 
2022-11-23T02:04:38.9381753Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:38.9381897Z         {
2022-11-23T02:04:38.9382015Z             {
2022-11-23T02:04:38.9382183Z                 {
2022-11-23T02:04:38.9382423Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.9382626Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T02:04:38.9382890Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:38.9383135Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T02:04:38.9383335Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T02:04:38.9383905Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T02:04:38.9384124Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T02:04:38.9384325Z                     out_ptr0[i0] = tmp4;
2022-11-23T02:04:38.9384651Z                     out_ptr1[i0] = tmp5;
2022-11-23T02:04:38.9384855Z                     out_ptr2[i0] = tmp6;
2022-11-23T02:04:38.9385038Z                     out_ptr3[i0] = tmp4;
2022-11-23T02:04:38.9385223Z                     out_ptr4[i0] = tmp5;
2022-11-23T02:04:38.9385344Z                 }
2022-11-23T02:04:38.9385492Z             }
2022-11-23T02:04:38.9385661Z         }
2022-11-23T02:04:38.9385811Z     }
2022-11-23T02:04:38.9385967Z }
2022-11-23T02:04:38.9386174Z ''')
2022-11-23T02:04:38.9386202Z 
2022-11-23T02:04:38.9386227Z 
2022-11-23T02:04:38.9386494Z async_compile.wait(globals())
2022-11-23T02:04:38.9386651Z del async_compile
2022-11-23T02:04:38.9386678Z 
2022-11-23T02:04:38.9386861Z def call(args):
2022-11-23T02:04:38.9387077Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.9387235Z     args.clear()
2022-11-23T02:04:38.9387715Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9388171Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9388628Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9389090Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9389508Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9390128Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T02:04:38.9390291Z     del arg0_1
2022-11-23T02:04:38.9390456Z     del arg1_1
2022-11-23T02:04:38.9390686Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T02:04:38.9390719Z 
2022-11-23T02:04:38.9390744Z 
2022-11-23T02:04:38.9390928Z if __name__ == "__main__":
2022-11-23T02:04:38.9391209Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.9391504Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.9391964Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9392426Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9392711Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.9392738Z 
2022-11-23T02:04:38.9392898Z ok (2.713s)
2022-11-23T02:04:38.9393636Z   test_div4_cpu (__main__.CpuTests) ... [2022-11-23 01:53:05,948] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.9394418Z [2022-11-23 01:53:05,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.9394948Z [2022-11-23 01:53:05,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.9395690Z [2022-11-23 01:53:05,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.9396366Z [2022-11-23 01:53:05,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.9397146Z [2022-11-23 01:53:05,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9398042Z [2022-11-23 01:53:05,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9398865Z [2022-11-23 01:53:05,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9399796Z [2022-11-23 01:53:05,950] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641130a80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1098> 
2022-11-23T02:04:38.9400038Z  1100           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9400262Z                2 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9400570Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9400800Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9401033Z                8 LOAD_CONST               0 (None)
2022-11-23T02:04:38.9401412Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9401642Z               12 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9401671Z 
2022-11-23T02:04:38.9401897Z 1101          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9402122Z               16 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9402342Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9402560Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9402917Z               22 LOAD_CONST               2 ('floor')
2022-11-23T02:04:38.9403281Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9403507Z               26 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9403535Z 
2022-11-23T02:04:38.9403761Z 1102          28 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9403983Z               30 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9404202Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9404422Z               34 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9404774Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T02:04:38.9405177Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9405376Z               40 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9405405Z 
2022-11-23T02:04:38.9405620Z 1103          42 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9405837Z               44 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9406051Z               46 BINARY_TRUE_DIVIDE
2022-11-23T02:04:38.9406078Z 
2022-11-23T02:04:38.9406298Z 1104          48 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9406517Z               50 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9406736Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T02:04:38.9406763Z 
2022-11-23T02:04:38.9406986Z 1099          54 BUILD_TUPLE              5
2022-11-23T02:04:38.9407147Z               56 RETURN_VALUE
2022-11-23T02:04:38.9407305Z  
2022-11-23T02:04:38.9407334Z 
2022-11-23T02:04:38.9408149Z [2022-11-23 01:53:05,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1100
2022-11-23T02:04:38.9408705Z [2022-11-23 01:53:05,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.9409476Z [2022-11-23 01:53:05,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9410216Z [2022-11-23 01:53:05,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T02:04:38.9410882Z [2022-11-23 01:53:05,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9411622Z [2022-11-23 01:53:05,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9412557Z [2022-11-23 01:53:05,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:38.9413527Z [2022-11-23 01:53:05,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T02:04:38.9414285Z [2022-11-23 01:53:05,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1101
2022-11-23T02:04:38.9414922Z [2022-11-23 01:53:05,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.9415858Z [2022-11-23 01:53:05,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9417031Z [2022-11-23 01:53:05,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9417725Z [2022-11-23 01:53:05,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9418572Z [2022-11-23 01:53:05,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9419438Z [2022-11-23 01:53:05,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9420418Z [2022-11-23 01:53:05,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9421208Z [2022-11-23 01:53:05,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1102
2022-11-23T02:04:38.9421869Z [2022-11-23 01:53:05,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9422816Z [2022-11-23 01:53:05,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9423611Z [2022-11-23 01:53:05,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9424473Z [2022-11-23 01:53:05,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9425439Z [2022-11-23 01:53:05,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9426538Z [2022-11-23 01:53:05,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9427708Z [2022-11-23 01:53:05,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9428767Z [2022-11-23 01:53:05,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1103
2022-11-23T02:04:38.9429530Z [2022-11-23 01:53:05,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9430370Z [2022-11-23 01:53:05,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9431335Z [2022-11-23 01:53:05,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9432154Z [2022-11-23 01:53:05,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1104
2022-11-23T02:04:38.9432941Z [2022-11-23 01:53:05,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9433970Z [2022-11-23 01:53:05,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9435008Z [2022-11-23 01:53:05,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9435857Z [2022-11-23 01:53:05,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1099
2022-11-23T02:04:38.9436686Z [2022-11-23 01:53:05,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9437314Z [2022-11-23 01:53:05,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9438281Z [2022-11-23 01:53:05,991] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641130a80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1098>
2022-11-23T02:04:38.9438901Z [2022-11-23 01:53:05,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9439495Z [2022-11-23 01:53:05,991] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.9440136Z [2022-11-23 01:53:05,994] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.9440768Z [2022-11-23 01:53:06,005] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.9441233Z [2022-11-23 01:53:06,006] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.9441577Z  __compiled_fn_151 <eval_with_key>.1365 opcode, name, target, args, kwargs
2022-11-23T02:04:38.9441785Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.9442002Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.9442476Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T02:04:38.9442951Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T02:04:38.9443418Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T02:04:38.9443893Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9444376Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9444713Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T02:04:38.9444750Z 
2022-11-23T02:04:38.9445580Z [2022-11-23 01:53:06,007] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9445790Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.9446147Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9446498Z               4 BUILD_MAP                0
2022-11-23T02:04:38.9446731Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.9446935Z               8 DICT_MERGE               1
2022-11-23T02:04:38.9447124Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.9447354Z              12 RETURN_VALUE
2022-11-23T02:04:38.9447354Z 
2022-11-23T02:04:38.9447463Z  
2022-11-23T02:04:38.9448222Z [2022-11-23 01:53:06,007] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9448467Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_151)
2022-11-23T02:04:38.9448675Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9448912Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9449113Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.9449326Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9449530Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9449685Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.9449894Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.9450221Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.9450512Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9450721Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9450898Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.9451139Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9451317Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9451499Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.9451741Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9451972Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:38.9452163Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.9452414Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9452625Z              38 LOAD_CONST               4 (3)
2022-11-23T02:04:38.9452781Z              40 BINARY_SUBSCR
2022-11-23T02:04:38.9453011Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9453246Z              44 LOAD_CONST               5 (4)
2022-11-23T02:04:38.9453451Z              46 BINARY_SUBSCR
2022-11-23T02:04:38.9453656Z              48 BUILD_TUPLE              5
2022-11-23T02:04:38.9453832Z              50 RETURN_VALUE
2022-11-23T02:04:38.9453859Z 
2022-11-23T02:04:38.9454010Z  
2022-11-23T02:04:38.9454427Z [2022-11-23 01:53:06,008] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.9454620Z  - 
2022-11-23T02:04:38.9454923Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.9455081Z             {
2022-11-23T02:04:38.9455419Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.9455863Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.9456618Z                 'obj_weakref': None
2022-11-23T02:04:38.9457089Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.9457254Z             }
2022-11-23T02:04:38.9457419Z             
2022-11-23T02:04:38.9457600Z  - 
2022-11-23T02:04:38.9457920Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.9458080Z             {
2022-11-23T02:04:38.9458419Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9458695Z                 'code': None,
2022-11-23T02:04:38.9459173Z                 'obj_weakref': <weakref at 0x7fa532271a80; to 'Tensor' at 0x7fa531ef70b0>
2022-11-23T02:04:38.9459792Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9459948Z             }
2022-11-23T02:04:38.9460097Z             
2022-11-23T02:04:38.9460276Z  - 
2022-11-23T02:04:38.9460590Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.9460919Z             {
2022-11-23T02:04:38.9461268Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9461518Z                 'code': None,
2022-11-23T02:04:38.9462060Z                 'obj_weakref': <weakref at 0x7fa559ee97b0; to 'Tensor' at 0x7fa532243740>
2022-11-23T02:04:38.9462652Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9462810Z             }
2022-11-23T02:04:38.9462963Z             
2022-11-23T02:04:38.9463116Z  - 
2022-11-23T02:04:38.9463452Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.9463614Z             {
2022-11-23T02:04:38.9463930Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.9464322Z                 'code': ['___check_obj_id(model, 140347994911456)'],
2022-11-23T02:04:38.9464608Z                 'obj_weakref': None
2022-11-23T02:04:38.9465164Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.9465308Z             }
2022-11-23T02:04:38.9465480Z             
2022-11-23T02:04:38.9465666Z  - 
2022-11-23T02:04:38.9465961Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.9466120Z             {
2022-11-23T02:04:38.9466583Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.9467149Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.9467413Z                 'obj_weakref': None
2022-11-23T02:04:38.9467935Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.9468107Z             }
2022-11-23T02:04:38.9468266Z             
2022-11-23T02:04:38.9468442Z  - 
2022-11-23T02:04:38.9468761Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.9468912Z             {
2022-11-23T02:04:38.9469164Z                 'guard_types': None,
2022-11-23T02:04:38.9469429Z                 'code': None,
2022-11-23T02:04:38.9469729Z                 'obj_weakref': None
2022-11-23T02:04:38.9470022Z                 'guarded_class': None
2022-11-23T02:04:38.9470175Z             }
2022-11-23T02:04:38.9470325Z             
2022-11-23T02:04:38.9470952Z [2022-11-23 01:53:06,027] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 150
2022-11-23T02:04:38.9471792Z [2022-11-23 01:53:06,064] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f4/cf44u4cqnwa77wvg5l6nnoyiu6j6tx7l5yetv35ov5kifmsgfh2c.py
2022-11-23T02:04:38.9472469Z [2022-11-23 01:53:06,064] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 150
2022-11-23T02:04:38.9472496Z 
2022-11-23T02:04:38.9472722Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.9472891Z import torch
2022-11-23T02:04:38.9473064Z import random
2022-11-23T02:04:38.9473337Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.9473643Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.9473677Z 
2022-11-23T02:04:38.9473876Z aten = torch.ops.aten
2022-11-23T02:04:38.9474199Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.9474438Z async_compile = AsyncCompile()
2022-11-23T02:04:38.9474465Z 
2022-11-23T02:04:38.9474489Z 
2022-11-23T02:04:38.9474840Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.9475342Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.9475644Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:38.9475900Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:38.9476136Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.9476373Z                        long* __restrict__ out_ptr1,
2022-11-23T02:04:38.9476583Z                        long* __restrict__ out_ptr2,
2022-11-23T02:04:38.9476833Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:38.9477086Z                        long* __restrict__ out_ptr4)
2022-11-23T02:04:38.9477351Z {
2022-11-23T02:04:38.9477606Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.9477767Z     {
2022-11-23T02:04:38.9477967Z         #pragma omp for 
2022-11-23T02:04:38.9478144Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:38.9478304Z         {
2022-11-23T02:04:38.9478462Z             {
2022-11-23T02:04:38.9478627Z                 {
2022-11-23T02:04:38.9478854Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.9479087Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T02:04:38.9479371Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:38.9479624Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T02:04:38.9479862Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T02:04:38.9480486Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T02:04:38.9480725Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T02:04:38.9480958Z                     out_ptr0[i0] = tmp4;
2022-11-23T02:04:38.9481168Z                     out_ptr1[i0] = tmp5;
2022-11-23T02:04:38.9481376Z                     out_ptr2[i0] = tmp6;
2022-11-23T02:04:38.9481650Z                     out_ptr3[i0] = tmp4;
2022-11-23T02:04:38.9481890Z                     out_ptr4[i0] = tmp5;
2022-11-23T02:04:38.9482068Z                 }
2022-11-23T02:04:38.9482241Z             }
2022-11-23T02:04:38.9482417Z         }
2022-11-23T02:04:38.9482588Z     }
2022-11-23T02:04:38.9482758Z }
2022-11-23T02:04:38.9482953Z ''')
2022-11-23T02:04:38.9482985Z 
2022-11-23T02:04:38.9483014Z 
2022-11-23T02:04:38.9483255Z async_compile.wait(globals())
2022-11-23T02:04:38.9483439Z del async_compile
2022-11-23T02:04:38.9483468Z 
2022-11-23T02:04:38.9483660Z def call(args):
2022-11-23T02:04:38.9483865Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.9484058Z     args.clear()
2022-11-23T02:04:38.9484525Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9485002Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9485443Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9485885Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9486362Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9487037Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T02:04:38.9487219Z     del arg0_1
2022-11-23T02:04:38.9487374Z     del arg1_1
2022-11-23T02:04:38.9487596Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T02:04:38.9487623Z 
2022-11-23T02:04:38.9487647Z 
2022-11-23T02:04:38.9487851Z if __name__ == "__main__":
2022-11-23T02:04:38.9488106Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.9488395Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.9488847Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9489347Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9489651Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.9489678Z 
2022-11-23T02:04:38.9489840Z ok (0.123s)
2022-11-23T02:04:38.9490652Z   test_div5_cpu (__main__.CpuTests) ... [2022-11-23 01:53:06,071] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.9491550Z [2022-11-23 01:53:06,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.9492120Z [2022-11-23 01:53:06,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.9492796Z [2022-11-23 01:53:06,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.9493671Z [2022-11-23 01:53:06,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.9494536Z [2022-11-23 01:53:06,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9495522Z [2022-11-23 01:53:06,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9496839Z [2022-11-23 01:53:06,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9497880Z [2022-11-23 01:53:06,072] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641130be0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1113> 
2022-11-23T02:04:38.9498153Z  1115           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9498387Z                2 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9498593Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9498764Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9499207Z                8 LOAD_CONST               0 (None)
2022-11-23T02:04:38.9499687Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9499939Z               12 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9499969Z 
2022-11-23T02:04:38.9500220Z 1116          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9500457Z               16 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9500691Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9500903Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9501294Z               22 LOAD_CONST               2 ('floor')
2022-11-23T02:04:38.9501730Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9501985Z               26 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9502013Z 
2022-11-23T02:04:38.9502256Z 1117          28 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9502487Z               30 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9502731Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9502967Z               34 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9503313Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T02:04:38.9503733Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9503977Z               40 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9504005Z 
2022-11-23T02:04:38.9504312Z 1118          42 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9504544Z               44 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9504760Z               46 BINARY_TRUE_DIVIDE
2022-11-23T02:04:38.9504788Z 
2022-11-23T02:04:38.9505026Z 1119          48 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9505267Z               50 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9505465Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T02:04:38.9505492Z 
2022-11-23T02:04:38.9505729Z 1114          54 BUILD_TUPLE              5
2022-11-23T02:04:38.9505949Z               56 RETURN_VALUE
2022-11-23T02:04:38.9506120Z  
2022-11-23T02:04:38.9506148Z 
2022-11-23T02:04:38.9507033Z [2022-11-23 01:53:06,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1115
2022-11-23T02:04:38.9507647Z [2022-11-23 01:53:06,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.9508507Z [2022-11-23 01:53:06,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9509207Z [2022-11-23 01:53:06,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T02:04:38.9510115Z [2022-11-23 01:53:06,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9510962Z [2022-11-23 01:53:06,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.9511991Z [2022-11-23 01:53:06,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T02:04:38.9513104Z [2022-11-23 01:53:06,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T02:04:38.9513911Z [2022-11-23 01:53:06,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1116
2022-11-23T02:04:38.9514523Z [2022-11-23 01:53:06,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.9515387Z [2022-11-23 01:53:06,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9516223Z [2022-11-23 01:53:06,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9517030Z [2022-11-23 01:53:06,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9517908Z [2022-11-23 01:53:06,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.9518900Z [2022-11-23 01:53:06,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T02:04:38.9519958Z [2022-11-23 01:53:06,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9520766Z [2022-11-23 01:53:06,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1117
2022-11-23T02:04:38.9521403Z [2022-11-23 01:53:06,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9522387Z [2022-11-23 01:53:06,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9523199Z [2022-11-23 01:53:06,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9524082Z [2022-11-23 01:53:06,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9525050Z [2022-11-23 01:53:06,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.9526199Z [2022-11-23 01:53:06,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T02:04:38.9527468Z [2022-11-23 01:53:06,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9528315Z [2022-11-23 01:53:06,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1118
2022-11-23T02:04:38.9529191Z [2022-11-23 01:53:06,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9530033Z [2022-11-23 01:53:06,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9531003Z [2022-11-23 01:53:06,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.9531839Z [2022-11-23 01:53:06,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1119
2022-11-23T02:04:38.9532630Z [2022-11-23 01:53:06,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9533478Z [2022-11-23 01:53:06,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9534673Z [2022-11-23 01:53:06,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.9535452Z [2022-11-23 01:53:06,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1114
2022-11-23T02:04:38.9536825Z [2022-11-23 01:53:06,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9537427Z [2022-11-23 01:53:06,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9538299Z [2022-11-23 01:53:06,113] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641130be0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1113>
2022-11-23T02:04:38.9538933Z [2022-11-23 01:53:06,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9539557Z [2022-11-23 01:53:06,114] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.9540207Z [2022-11-23 01:53:06,116] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.9540833Z [2022-11-23 01:53:06,127] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.9541288Z [2022-11-23 01:53:06,128] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.9541619Z  __compiled_fn_152 <eval_with_key>.1371 opcode, name, target, args, kwargs
2022-11-23T02:04:38.9541847Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.9542298Z call_function, div, aten.div, (ex_0_, 16), {'rounding_mode': None}
2022-11-23T02:04:38.9542766Z call_function, div_1, aten.div, (ex_0_, 16), {'rounding_mode': 'floor'}
2022-11-23T02:04:38.9543221Z call_function, div_2, aten.div, (ex_0_, 16), {'rounding_mode': 'trunc'}
2022-11-23T02:04:38.9543696Z call_function, truediv, <built-in function truediv>, (ex_0_, 16), {}
2022-11-23T02:04:38.9544175Z call_function, floordiv, <built-in function floordiv>, (ex_0_, 16), {}
2022-11-23T02:04:38.9544482Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T02:04:38.9544516Z 
2022-11-23T02:04:38.9545347Z [2022-11-23 01:53:06,129] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9545582Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.9545805Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9546026Z               4 BUILD_MAP                0
2022-11-23T02:04:38.9546468Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.9546682Z               8 DICT_MERGE               1
2022-11-23T02:04:38.9546905Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.9547069Z              12 RETURN_VALUE
2022-11-23T02:04:38.9547099Z 
2022-11-23T02:04:38.9547261Z  
2022-11-23T02:04:38.9548070Z [2022-11-23 01:53:06,129] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9548338Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_152)
2022-11-23T02:04:38.9548572Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9548799Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9548992Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.9549183Z               8 CALL_FUNCTION            1
2022-11-23T02:04:38.9549384Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.9549610Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9549827Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9550009Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.9550238Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9550576Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9550766Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.9550970Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9551174Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:38.9551345Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.9551575Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9551777Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:38.9551954Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.9552169Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9552332Z              38 LOAD_CONST               5 (4)
2022-11-23T02:04:38.9552512Z              40 BINARY_SUBSCR
2022-11-23T02:04:38.9552717Z              42 BUILD_TUPLE              5
2022-11-23T02:04:38.9552893Z              44 RETURN_VALUE
2022-11-23T02:04:38.9552926Z 
2022-11-23T02:04:38.9553091Z  
2022-11-23T02:04:38.9553570Z [2022-11-23 01:53:06,130] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.9553745Z  - 
2022-11-23T02:04:38.9554032Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.9554195Z             {
2022-11-23T02:04:38.9554521Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.9554937Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.9555209Z                 'obj_weakref': None
2022-11-23T02:04:38.9555768Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.9555921Z             }
2022-11-23T02:04:38.9556040Z             
2022-11-23T02:04:38.9556208Z  - 
2022-11-23T02:04:38.9556485Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.9556636Z             {
2022-11-23T02:04:38.9557023Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9557277Z                 'code': None,
2022-11-23T02:04:38.9557745Z                 'obj_weakref': <weakref at 0x7fa53c43ea20; to 'Tensor' at 0x7fa55003c9f0>
2022-11-23T02:04:38.9558303Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9558482Z             }
2022-11-23T02:04:38.9558642Z             
2022-11-23T02:04:38.9558810Z  - 
2022-11-23T02:04:38.9559098Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T02:04:38.9559244Z             {
2022-11-23T02:04:38.9559554Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:38.9559953Z                 'code': ['___check_type_id(ex[1], 93849050129792)', 'ex[1] == 16'],
2022-11-23T02:04:38.9560253Z                 'obj_weakref': None
2022-11-23T02:04:38.9560742Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:38.9561055Z             }
2022-11-23T02:04:38.9561198Z             
2022-11-23T02:04:38.9561385Z  - 
2022-11-23T02:04:38.9561719Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.9561837Z             {
2022-11-23T02:04:38.9562144Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.9562514Z                 'code': ['___check_obj_id(model, 140347994911456)'],
2022-11-23T02:04:38.9562775Z                 'obj_weakref': None
2022-11-23T02:04:38.9563344Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.9563489Z             }
2022-11-23T02:04:38.9563627Z             
2022-11-23T02:04:38.9563758Z  - 
2022-11-23T02:04:38.9564022Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.9564167Z             {
2022-11-23T02:04:38.9564474Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.9564982Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.9565268Z                 'obj_weakref': None
2022-11-23T02:04:38.9565805Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.9565924Z             }
2022-11-23T02:04:38.9566147Z             
2022-11-23T02:04:38.9566325Z  - 
2022-11-23T02:04:38.9566617Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.9566770Z             {
2022-11-23T02:04:38.9567047Z                 'guard_types': None,
2022-11-23T02:04:38.9567295Z                 'code': None,
2022-11-23T02:04:38.9567539Z                 'obj_weakref': None
2022-11-23T02:04:38.9567799Z                 'guarded_class': None
2022-11-23T02:04:38.9567941Z             }
2022-11-23T02:04:38.9568085Z             
2022-11-23T02:04:38.9568673Z [2022-11-23 01:53:06,150] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 151
2022-11-23T02:04:38.9569497Z [2022-11-23 01:53:08,785] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sf/csfjjgxcklxhagh5kildymu3agfmwdh322cuixbe2sgvd3dqltza.py
2022-11-23T02:04:38.9570207Z [2022-11-23 01:53:08,785] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 151
2022-11-23T02:04:38.9570269Z 
2022-11-23T02:04:38.9570467Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.9570636Z import torch
2022-11-23T02:04:38.9570820Z import random
2022-11-23T02:04:38.9571124Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.9571393Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.9571423Z 
2022-11-23T02:04:38.9571642Z aten = torch.ops.aten
2022-11-23T02:04:38.9571875Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.9572072Z async_compile = AsyncCompile()
2022-11-23T02:04:38.9572099Z 
2022-11-23T02:04:38.9572125Z 
2022-11-23T02:04:38.9572433Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.9572841Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.9573118Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:38.9573351Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.9573591Z                        long* __restrict__ out_ptr1,
2022-11-23T02:04:38.9573819Z                        long* __restrict__ out_ptr2,
2022-11-23T02:04:38.9574044Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:38.9574265Z                        long* __restrict__ out_ptr4)
2022-11-23T02:04:38.9574381Z {
2022-11-23T02:04:38.9574608Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.9574763Z     {
2022-11-23T02:04:38.9574958Z         #pragma omp for 
2022-11-23T02:04:38.9575156Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:38.9575304Z         {
2022-11-23T02:04:38.9575445Z             {
2022-11-23T02:04:38.9575566Z                 {
2022-11-23T02:04:38.9575790Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.9576558Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:38.9576807Z                     auto tmp2 = static_cast<float>(16);
2022-11-23T02:04:38.9576953Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:38.9577113Z                     auto tmp4 = static_cast<long>(16);
2022-11-23T02:04:38.9577512Z                     auto tmp5 = ((tmp0 < 0) != (tmp4 < 0) ? (tmp0 % tmp4 != 0 ? tmp0 / tmp4 - 1 : tmp0 / tmp4) : tmp0 / tmp4);
2022-11-23T02:04:38.9577627Z                     auto tmp6 = tmp0 / tmp4;
2022-11-23T02:04:38.9577756Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:38.9577880Z                     out_ptr1[i0] = tmp5;
2022-11-23T02:04:38.9578008Z                     out_ptr2[i0] = tmp6;
2022-11-23T02:04:38.9578136Z                     out_ptr3[i0] = tmp3;
2022-11-23T02:04:38.9578258Z                     out_ptr4[i0] = tmp5;
2022-11-23T02:04:38.9578356Z                 }
2022-11-23T02:04:38.9578434Z             }
2022-11-23T02:04:38.9578530Z         }
2022-11-23T02:04:38.9578631Z     }
2022-11-23T02:04:38.9578731Z }
2022-11-23T02:04:38.9578853Z ''')
2022-11-23T02:04:38.9578876Z 
2022-11-23T02:04:38.9578895Z 
2022-11-23T02:04:38.9579033Z async_compile.wait(globals())
2022-11-23T02:04:38.9579147Z del async_compile
2022-11-23T02:04:38.9579166Z 
2022-11-23T02:04:38.9579426Z def call(args):
2022-11-23T02:04:38.9579552Z     arg0_1, = args
2022-11-23T02:04:38.9579665Z     args.clear()
2022-11-23T02:04:38.9579948Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9580212Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9580480Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9580745Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9580981Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9581311Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T02:04:38.9581431Z     del arg0_1
2022-11-23T02:04:38.9581580Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T02:04:38.9581602Z 
2022-11-23T02:04:38.9581624Z 
2022-11-23T02:04:38.9581744Z if __name__ == "__main__":
2022-11-23T02:04:38.9581915Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.9582091Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.9582362Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9582522Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:38.9582542Z 
2022-11-23T02:04:38.9582627Z ok (2.721s)
2022-11-23T02:04:38.9583033Z   test_div6_cpu (__main__.CpuTests) ... [2022-11-23 01:53:08,793] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.9583465Z [2022-11-23 01:53:08,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.9583847Z [2022-11-23 01:53:08,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.9584195Z [2022-11-23 01:53:08,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.9584576Z [2022-11-23 01:53:08,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.9585014Z [2022-11-23 01:53:08,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9585481Z [2022-11-23 01:53:08,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9585921Z [2022-11-23 01:53:08,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9586603Z [2022-11-23 01:53:08,794] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641130d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1126> 
2022-11-23T02:04:38.9586735Z  1128           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9586876Z                2 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9587015Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9587155Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9587294Z                8 LOAD_CONST               0 (None)
2022-11-23T02:04:38.9587530Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9587674Z               12 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9587695Z 
2022-11-23T02:04:38.9587837Z 1129          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9587949Z               16 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9588091Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9588227Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9588432Z               22 LOAD_CONST               2 ('floor')
2022-11-23T02:04:38.9588713Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9588861Z               26 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9588880Z 
2022-11-23T02:04:38.9589022Z 1130          28 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9589133Z               30 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9589268Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9589403Z               34 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9589612Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T02:04:38.9589841Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9589981Z               40 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9590003Z 
2022-11-23T02:04:38.9590137Z 1131          42 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9590271Z               44 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9590373Z               46 BINARY_TRUE_DIVIDE
2022-11-23T02:04:38.9590393Z 
2022-11-23T02:04:38.9590529Z 1132          48 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9590657Z               50 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9590786Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T02:04:38.9590805Z 
2022-11-23T02:04:38.9590937Z 1127          54 BUILD_TUPLE              5
2022-11-23T02:04:38.9591055Z               56 RETURN_VALUE
2022-11-23T02:04:38.9591154Z  
2022-11-23T02:04:38.9591173Z 
2022-11-23T02:04:38.9591607Z [2022-11-23 01:53:08,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1128
2022-11-23T02:04:38.9591888Z [2022-11-23 01:53:08,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.9592305Z [2022-11-23 01:53:08,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9592651Z [2022-11-23 01:53:08,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T02:04:38.9593030Z [2022-11-23 01:53:08,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9593450Z [2022-11-23 01:53:08,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9593962Z [2022-11-23 01:53:08,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:38.9594499Z [2022-11-23 01:53:08,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T02:04:38.9594987Z [2022-11-23 01:53:08,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1129
2022-11-23T02:04:38.9595330Z [2022-11-23 01:53:08,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.9595781Z [2022-11-23 01:53:08,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9596161Z [2022-11-23 01:53:08,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9596548Z [2022-11-23 01:53:08,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9597007Z [2022-11-23 01:53:08,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9597590Z [2022-11-23 01:53:08,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9598162Z [2022-11-23 01:53:08,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9598592Z [2022-11-23 01:53:08,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1130
2022-11-23T02:04:38.9598966Z [2022-11-23 01:53:08,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9599451Z [2022-11-23 01:53:08,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9599872Z [2022-11-23 01:53:08,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9600316Z [2022-11-23 01:53:08,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9600811Z [2022-11-23 01:53:08,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9601374Z [2022-11-23 01:53:08,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9601980Z [2022-11-23 01:53:08,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9602426Z [2022-11-23 01:53:08,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1131
2022-11-23T02:04:38.9602804Z [2022-11-23 01:53:08,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9603243Z [2022-11-23 01:53:08,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9603774Z [2022-11-23 01:53:08,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9604200Z [2022-11-23 01:53:08,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1132
2022-11-23T02:04:38.9604696Z [2022-11-23 01:53:08,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9605171Z [2022-11-23 01:53:08,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9605701Z [2022-11-23 01:53:08,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9606125Z [2022-11-23 01:53:08,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1127
2022-11-23T02:04:38.9606602Z [2022-11-23 01:53:08,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9606948Z [2022-11-23 01:53:08,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9607522Z [2022-11-23 01:53:08,835] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641130d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1126>
2022-11-23T02:04:38.9607884Z [2022-11-23 01:53:08,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9608192Z [2022-11-23 01:53:08,836] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.9608551Z [2022-11-23 01:53:08,838] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.9608900Z [2022-11-23 01:53:08,850] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.9609176Z [2022-11-23 01:53:08,851] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.9609381Z  __compiled_fn_153 <eval_with_key>.1377 opcode, name, target, args, kwargs
2022-11-23T02:04:38.9609523Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.9609655Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.9609921Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T02:04:38.9610166Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T02:04:38.9610436Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T02:04:38.9610703Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9610983Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9611173Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T02:04:38.9611198Z 
2022-11-23T02:04:38.9611640Z [2022-11-23 01:53:08,851] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9611794Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.9611930Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9612045Z               4 BUILD_MAP                0
2022-11-23T02:04:38.9612198Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.9612329Z               8 DICT_MERGE               1
2022-11-23T02:04:38.9612459Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.9612577Z              12 RETURN_VALUE
2022-11-23T02:04:38.9612597Z 
2022-11-23T02:04:38.9612695Z  
2022-11-23T02:04:38.9613139Z [2022-11-23 01:53:08,852] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9613298Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_153)
2022-11-23T02:04:38.9613411Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9613634Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9613752Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.9613888Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9614020Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9614149Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.9614287Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.9614418Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.9614573Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9614711Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9614829Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.9614982Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9615117Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9615237Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.9615361Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9615498Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:38.9615614Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.9615760Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9615961Z              38 LOAD_CONST               4 (3)
2022-11-23T02:04:38.9616750Z              40 BINARY_SUBSCR
2022-11-23T02:04:38.9616952Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9617093Z              44 LOAD_CONST               5 (4)
2022-11-23T02:04:38.9617187Z              46 BINARY_SUBSCR
2022-11-23T02:04:38.9617319Z              48 BUILD_TUPLE              5
2022-11-23T02:04:38.9617438Z              50 RETURN_VALUE
2022-11-23T02:04:38.9617459Z 
2022-11-23T02:04:38.9617553Z  
2022-11-23T02:04:38.9617864Z [2022-11-23 01:53:08,853] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.9617979Z  - 
2022-11-23T02:04:38.9618156Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.9618242Z             {
2022-11-23T02:04:38.9618444Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.9618711Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.9618887Z                 'obj_weakref': None
2022-11-23T02:04:38.9619206Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.9619309Z             }
2022-11-23T02:04:38.9619410Z             
2022-11-23T02:04:38.9619498Z  - 
2022-11-23T02:04:38.9619680Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.9619781Z             {
2022-11-23T02:04:38.9619985Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9620143Z                 'code': None,
2022-11-23T02:04:38.9620438Z                 'obj_weakref': <weakref at 0x7fa53c43d080; to 'Tensor' at 0x7fa53227e020>
2022-11-23T02:04:38.9620779Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9620862Z             }
2022-11-23T02:04:38.9620959Z             
2022-11-23T02:04:38.9621065Z  - 
2022-11-23T02:04:38.9621240Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.9621335Z             {
2022-11-23T02:04:38.9621535Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9621686Z                 'code': None,
2022-11-23T02:04:38.9621958Z                 'obj_weakref': <weakref at 0x7fa53c43c7c0; to 'Tensor' at 0x7fa53210a8e0>
2022-11-23T02:04:38.9622298Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9622396Z             }
2022-11-23T02:04:38.9622492Z             
2022-11-23T02:04:38.9622599Z  - 
2022-11-23T02:04:38.9622785Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.9622881Z             {
2022-11-23T02:04:38.9623051Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.9623285Z                 'code': ['___check_obj_id(model, 140347994911456)'],
2022-11-23T02:04:38.9623633Z                 'obj_weakref': None
2022-11-23T02:04:38.9623945Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.9624043Z             }
2022-11-23T02:04:38.9624138Z             
2022-11-23T02:04:38.9624247Z  - 
2022-11-23T02:04:38.9624403Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.9624502Z             {
2022-11-23T02:04:38.9624696Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.9624993Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.9625164Z                 'obj_weakref': None
2022-11-23T02:04:38.9625467Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.9625565Z             }
2022-11-23T02:04:38.9625642Z             
2022-11-23T02:04:38.9625747Z  - 
2022-11-23T02:04:38.9625931Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.9626031Z             {
2022-11-23T02:04:38.9626205Z                 'guard_types': None,
2022-11-23T02:04:38.9626365Z                 'code': None,
2022-11-23T02:04:38.9626530Z                 'obj_weakref': None
2022-11-23T02:04:38.9626754Z                 'guarded_class': None
2022-11-23T02:04:38.9626950Z             }
2022-11-23T02:04:38.9627054Z             
2022-11-23T02:04:38.9627423Z [2022-11-23 01:53:08,872] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 152
2022-11-23T02:04:38.9627911Z [2022-11-23 01:53:11,495] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ke/ckeawmp4l26aao6vbjjp6srtiiu7ysdf7lu7ojb634zamhuzvcg7.py
2022-11-23T02:04:38.9628275Z [2022-11-23 01:53:11,496] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 152
2022-11-23T02:04:38.9628296Z 
2022-11-23T02:04:38.9628436Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.9628523Z import torch
2022-11-23T02:04:38.9628629Z import random
2022-11-23T02:04:38.9628798Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.9628969Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.9628991Z 
2022-11-23T02:04:38.9629109Z aten = torch.ops.aten
2022-11-23T02:04:38.9629300Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.9629439Z async_compile = AsyncCompile()
2022-11-23T02:04:38.9629459Z 
2022-11-23T02:04:38.9629477Z 
2022-11-23T02:04:38.9629675Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.9629936Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.9630106Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T02:04:38.9630256Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:38.9630404Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.9630542Z                        long* __restrict__ out_ptr1,
2022-11-23T02:04:38.9630680Z                        long* __restrict__ out_ptr2,
2022-11-23T02:04:38.9630831Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:38.9630970Z                        long* __restrict__ out_ptr4)
2022-11-23T02:04:38.9631044Z {
2022-11-23T02:04:38.9631187Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.9631285Z     {
2022-11-23T02:04:38.9631404Z         #pragma omp for 
2022-11-23T02:04:38.9631524Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:38.9631620Z         {
2022-11-23T02:04:38.9631698Z             {
2022-11-23T02:04:38.9631797Z                 {
2022-11-23T02:04:38.9631933Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.9632069Z                     auto tmp3 = in_ptr1[i0];
2022-11-23T02:04:38.9632221Z                     auto tmp1 = static_cast<long>(tmp0);
2022-11-23T02:04:38.9632373Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T02:04:38.9632523Z                     auto tmp4 = static_cast<float>(tmp3);
2022-11-23T02:04:38.9632748Z                     auto tmp5 = tmp2 / tmp4;
2022-11-23T02:04:38.9633100Z                     auto tmp6 = ((tmp1 < 0) != (tmp3 < 0) ? (tmp1 % tmp3 != 0 ? tmp1 / tmp3 - 1 : tmp1 / tmp3) : tmp1 / tmp3);
2022-11-23T02:04:38.9633235Z                     auto tmp7 = tmp1 / tmp3;
2022-11-23T02:04:38.9633397Z                     auto tmp8 = static_cast<float>(tmp0);
2022-11-23T02:04:38.9633534Z                     auto tmp9 = tmp8 / tmp4;
2022-11-23T02:04:38.9633663Z                     out_ptr0[i0] = tmp5;
2022-11-23T02:04:38.9633794Z                     out_ptr1[i0] = tmp6;
2022-11-23T02:04:38.9633917Z                     out_ptr2[i0] = tmp7;
2022-11-23T02:04:38.9634021Z                     out_ptr3[i0] = tmp9;
2022-11-23T02:04:38.9634155Z                     out_ptr4[i0] = tmp6;
2022-11-23T02:04:38.9634257Z                 }
2022-11-23T02:04:38.9634357Z             }
2022-11-23T02:04:38.9634458Z         }
2022-11-23T02:04:38.9634557Z     }
2022-11-23T02:04:38.9634630Z }
2022-11-23T02:04:38.9634756Z ''')
2022-11-23T02:04:38.9634780Z 
2022-11-23T02:04:38.9634798Z 
2022-11-23T02:04:38.9634936Z async_compile.wait(globals())
2022-11-23T02:04:38.9635053Z del async_compile
2022-11-23T02:04:38.9635072Z 
2022-11-23T02:04:38.9635187Z def call(args):
2022-11-23T02:04:38.9635305Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.9635475Z     args.clear()
2022-11-23T02:04:38.9635764Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9636006Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9636274Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9636540Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9636800Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9637158Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T02:04:38.9637272Z     del arg0_1
2022-11-23T02:04:38.9637380Z     del arg1_1
2022-11-23T02:04:38.9637527Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T02:04:38.9637547Z 
2022-11-23T02:04:38.9637565Z 
2022-11-23T02:04:38.9637662Z if __name__ == "__main__":
2022-11-23T02:04:38.9637831Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.9638009Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.9638275Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:38.9638541Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9638711Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.9638730Z 
2022-11-23T02:04:38.9638840Z ok (2.711s)
2022-11-23T02:04:38.9639248Z   test_div7_cpu (__main__.CpuTests) ... [2022-11-23 01:53:11,505] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.9639686Z [2022-11-23 01:53:11,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.9639977Z [2022-11-23 01:53:11,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.9640330Z [2022-11-23 01:53:11,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.9640715Z [2022-11-23 01:53:11,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.9641149Z [2022-11-23 01:53:11,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9641617Z [2022-11-23 01:53:11,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9642056Z [2022-11-23 01:53:11,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9642651Z [2022-11-23 01:53:11,506] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641130ea0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1142> 
2022-11-23T02:04:38.9642796Z  1144           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9642934Z                2 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9643049Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9643187Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9643329Z                8 LOAD_CONST               0 (None)
2022-11-23T02:04:38.9643565Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9643707Z               12 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9643727Z 
2022-11-23T02:04:38.9643874Z 1145          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9644014Z               16 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9644150Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9644260Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9644522Z               22 LOAD_CONST               2 ('floor')
2022-11-23T02:04:38.9644759Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9644905Z               26 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9644925Z 
2022-11-23T02:04:38.9645064Z 1146          28 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9645199Z               30 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9645334Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9645444Z               34 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9645650Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T02:04:38.9645876Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9646019Z               40 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9646038Z 
2022-11-23T02:04:38.9646171Z 1147          42 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9646303Z               44 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9646432Z               46 BINARY_TRUE_DIVIDE
2022-11-23T02:04:38.9646451Z 
2022-11-23T02:04:38.9646584Z 1148          48 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9646693Z               50 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9646824Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T02:04:38.9646843Z 
2022-11-23T02:04:38.9646973Z 1143          54 BUILD_TUPLE              5
2022-11-23T02:04:38.9647093Z               56 RETURN_VALUE
2022-11-23T02:04:38.9647195Z  
2022-11-23T02:04:38.9647214Z 
2022-11-23T02:04:38.9647645Z [2022-11-23 01:53:11,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1144
2022-11-23T02:04:38.9647951Z [2022-11-23 01:53:11,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.9648370Z [2022-11-23 01:53:11,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9648713Z [2022-11-23 01:53:11,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T02:04:38.9649069Z [2022-11-23 01:53:11,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9649483Z [2022-11-23 01:53:11,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9649987Z [2022-11-23 01:53:11,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:38.9650526Z [2022-11-23 01:53:11,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T02:04:38.9651029Z [2022-11-23 01:53:11,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1145
2022-11-23T02:04:38.9651373Z [2022-11-23 01:53:11,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.9651832Z [2022-11-23 01:53:11,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9652214Z [2022-11-23 01:53:11,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9652627Z [2022-11-23 01:53:11,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9653095Z [2022-11-23 01:53:11,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9653683Z [2022-11-23 01:53:11,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9654264Z [2022-11-23 01:53:11,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9654672Z [2022-11-23 01:53:11,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1146
2022-11-23T02:04:38.9655047Z [2022-11-23 01:53:11,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9655533Z [2022-11-23 01:53:11,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9655947Z [2022-11-23 01:53:11,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9657148Z [2022-11-23 01:53:11,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9657653Z [2022-11-23 01:53:11,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9658220Z [2022-11-23 01:53:11,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9658832Z [2022-11-23 01:53:11,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9659260Z [2022-11-23 01:53:11,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1147
2022-11-23T02:04:38.9659659Z [2022-11-23 01:53:11,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9660089Z [2022-11-23 01:53:11,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9660592Z [2022-11-23 01:53:11,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9661187Z [2022-11-23 01:53:11,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1148
2022-11-23T02:04:38.9661594Z [2022-11-23 01:53:11,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9662062Z [2022-11-23 01:53:11,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9662602Z [2022-11-23 01:53:11,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9663032Z [2022-11-23 01:53:11,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1143
2022-11-23T02:04:38.9663504Z [2022-11-23 01:53:11,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9663847Z [2022-11-23 01:53:11,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9664435Z [2022-11-23 01:53:11,547] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641130ea0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1142>
2022-11-23T02:04:38.9664790Z [2022-11-23 01:53:11,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9665113Z [2022-11-23 01:53:11,547] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.9665466Z [2022-11-23 01:53:11,549] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.9665810Z [2022-11-23 01:53:11,561] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.9666057Z [2022-11-23 01:53:11,562] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.9666252Z  __compiled_fn_154 <eval_with_key>.1383 opcode, name, target, args, kwargs
2022-11-23T02:04:38.9666391Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.9666523Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.9666795Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T02:04:38.9667063Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T02:04:38.9667329Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T02:04:38.9667573Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9667845Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9668031Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T02:04:38.9668056Z 
2022-11-23T02:04:38.9668497Z [2022-11-23 01:53:11,562] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9668636Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.9668772Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9668904Z               4 BUILD_MAP                0
2022-11-23T02:04:38.9669046Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.9669178Z               8 DICT_MERGE               1
2022-11-23T02:04:38.9669290Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.9669406Z              12 RETURN_VALUE
2022-11-23T02:04:38.9669426Z 
2022-11-23T02:04:38.9669523Z  
2022-11-23T02:04:38.9669959Z [2022-11-23 01:53:11,563] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9670116Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_154)
2022-11-23T02:04:38.9670310Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9670448Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9670543Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.9670672Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9670809Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9670924Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.9671053Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.9671201Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.9671348Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9671459Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9671573Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.9671718Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9671847Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9671959Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.9672108Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9672238Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:38.9672349Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.9672528Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9672666Z              38 LOAD_CONST               4 (3)
2022-11-23T02:04:38.9672781Z              40 BINARY_SUBSCR
2022-11-23T02:04:38.9672925Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9673060Z              44 LOAD_CONST               5 (4)
2022-11-23T02:04:38.9673175Z              46 BINARY_SUBSCR
2022-11-23T02:04:38.9673303Z              48 BUILD_TUPLE              5
2022-11-23T02:04:38.9673397Z              50 RETURN_VALUE
2022-11-23T02:04:38.9673417Z 
2022-11-23T02:04:38.9673509Z  
2022-11-23T02:04:38.9673775Z [2022-11-23 01:53:11,564] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.9673883Z  - 
2022-11-23T02:04:38.9674059Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.9674154Z             {
2022-11-23T02:04:38.9674353Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.9674592Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.9674766Z                 'obj_weakref': None
2022-11-23T02:04:38.9675082Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.9675181Z             }
2022-11-23T02:04:38.9675276Z             
2022-11-23T02:04:38.9675380Z  - 
2022-11-23T02:04:38.9675556Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.9675635Z             {
2022-11-23T02:04:38.9675831Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9675985Z                 'code': None,
2022-11-23T02:04:38.9676279Z                 'obj_weakref': <weakref at 0x7fa5320bf100; to 'Tensor' at 0x7fa531ef5080>
2022-11-23T02:04:38.9676625Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9676727Z             }
2022-11-23T02:04:38.9676823Z             
2022-11-23T02:04:38.9676910Z  - 
2022-11-23T02:04:38.9677085Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.9677183Z             {
2022-11-23T02:04:38.9677386Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9677540Z                 'code': None,
2022-11-23T02:04:38.9677830Z                 'obj_weakref': <weakref at 0x7fa5320bc5e0; to 'Tensor' at 0x7fa53227e020>
2022-11-23T02:04:38.9678172Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9678251Z             }
2022-11-23T02:04:38.9678347Z             
2022-11-23T02:04:38.9678451Z  - 
2022-11-23T02:04:38.9678634Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.9678732Z             {
2022-11-23T02:04:38.9678920Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.9679227Z                 'code': ['___check_obj_id(model, 140347994911456)'],
2022-11-23T02:04:38.9679376Z                 'obj_weakref': None
2022-11-23T02:04:38.9679685Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.9679785Z             }
2022-11-23T02:04:38.9679881Z             
2022-11-23T02:04:38.9679989Z  - 
2022-11-23T02:04:38.9680159Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.9680254Z             {
2022-11-23T02:04:38.9680426Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.9680715Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.9680883Z                 'obj_weakref': None
2022-11-23T02:04:38.9681183Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.9681280Z             }
2022-11-23T02:04:38.9681377Z             
2022-11-23T02:04:38.9681481Z  - 
2022-11-23T02:04:38.9681648Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.9681745Z             {
2022-11-23T02:04:38.9681910Z                 'guard_types': None,
2022-11-23T02:04:38.9682063Z                 'code': None,
2022-11-23T02:04:38.9682230Z                 'obj_weakref': None
2022-11-23T02:04:38.9682534Z                 'guarded_class': None
2022-11-23T02:04:38.9682636Z             }
2022-11-23T02:04:38.9682713Z             
2022-11-23T02:04:38.9683079Z [2022-11-23 01:53:11,582] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 153
2022-11-23T02:04:38.9683564Z [2022-11-23 01:53:14,211] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p2/cp2z4v7m23aobiojwrpyx7jj74hzcwahh44242yegteypt4bezux.py
2022-11-23T02:04:38.9683921Z [2022-11-23 01:53:14,211] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 153
2022-11-23T02:04:38.9683944Z 
2022-11-23T02:04:38.9684079Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.9684188Z import torch
2022-11-23T02:04:38.9684297Z import random
2022-11-23T02:04:38.9684442Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.9684617Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.9684637Z 
2022-11-23T02:04:38.9684760Z aten = torch.ops.aten
2022-11-23T02:04:38.9684950Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.9685086Z async_compile = AsyncCompile()
2022-11-23T02:04:38.9685105Z 
2022-11-23T02:04:38.9685123Z 
2022-11-23T02:04:38.9685315Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.9685596Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.9685763Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:38.9685914Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:38.9686041Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.9686183Z                        long* __restrict__ out_ptr1,
2022-11-23T02:04:38.9686326Z                        long* __restrict__ out_ptr2,
2022-11-23T02:04:38.9686466Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:38.9686671Z                        long* __restrict__ out_ptr4)
2022-11-23T02:04:38.9686771Z {
2022-11-23T02:04:38.9686919Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.9686995Z     {
2022-11-23T02:04:38.9687114Z         #pragma omp for 
2022-11-23T02:04:38.9687237Z         for(long i0=0; i0<10000; i0+=1)
2022-11-23T02:04:38.9687334Z         {
2022-11-23T02:04:38.9687430Z             {
2022-11-23T02:04:38.9687527Z                 {
2022-11-23T02:04:38.9687642Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.9687776Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T02:04:38.9687934Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:38.9688092Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T02:04:38.9688223Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T02:04:38.9688654Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T02:04:38.9688789Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T02:04:38.9688920Z                     out_ptr0[i0] = tmp4;
2022-11-23T02:04:38.9689026Z                     out_ptr1[i0] = tmp5;
2022-11-23T02:04:38.9689149Z                     out_ptr2[i0] = tmp6;
2022-11-23T02:04:38.9689272Z                     out_ptr3[i0] = tmp4;
2022-11-23T02:04:38.9689394Z                     out_ptr4[i0] = tmp5;
2022-11-23T02:04:38.9689491Z                 }
2022-11-23T02:04:38.9689589Z             }
2022-11-23T02:04:38.9689685Z         }
2022-11-23T02:04:38.9689761Z     }
2022-11-23T02:04:38.9689851Z }
2022-11-23T02:04:38.9689975Z ''')
2022-11-23T02:04:38.9689995Z 
2022-11-23T02:04:38.9690015Z 
2022-11-23T02:04:38.9690147Z async_compile.wait(globals())
2022-11-23T02:04:38.9690256Z del async_compile
2022-11-23T02:04:38.9690279Z 
2022-11-23T02:04:38.9690421Z def call(args):
2022-11-23T02:04:38.9690535Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.9690664Z     args.clear()
2022-11-23T02:04:38.9690986Z     buf0 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9691435Z     buf1 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9691786Z     buf2 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9692085Z     buf3 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9692353Z     buf4 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9692780Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T02:04:38.9692887Z     del arg0_1
2022-11-23T02:04:38.9693013Z     del arg1_1
2022-11-23T02:04:38.9693154Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T02:04:38.9693176Z 
2022-11-23T02:04:38.9693194Z 
2022-11-23T02:04:38.9693309Z if __name__ == "__main__":
2022-11-23T02:04:38.9693489Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.9693702Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.9694037Z     arg0_1 = rand_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9694380Z     arg1_1 = rand_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9694584Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.9694605Z 
2022-11-23T02:04:38.9694688Z ok (2.716s)
2022-11-23T02:04:38.9695092Z   test_div8_cpu (__main__.CpuTests) ... [2022-11-23 01:53:14,218] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.9695529Z [2022-11-23 01:53:14,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.9695837Z [2022-11-23 01:53:14,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.9696714Z [2022-11-23 01:53:14,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.9697149Z [2022-11-23 01:53:14,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.9697573Z [2022-11-23 01:53:14,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9698040Z [2022-11-23 01:53:14,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9698473Z [2022-11-23 01:53:14,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9699170Z [2022-11-23 01:53:14,219] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641131000, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1160> 
2022-11-23T02:04:38.9699296Z  1162           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9699436Z                2 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9699567Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9699702Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9699837Z                8 LOAD_CONST               0 (None)
2022-11-23T02:04:38.9700062Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9700194Z               12 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9700214Z 
2022-11-23T02:04:38.9700346Z 1163          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9700463Z               16 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9700597Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9700726Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9700927Z               22 LOAD_CONST               2 ('floor')
2022-11-23T02:04:38.9701149Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9701370Z               26 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9701391Z 
2022-11-23T02:04:38.9701534Z 1164          28 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9701645Z               30 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9701779Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9701908Z               34 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9702109Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T02:04:38.9702328Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9702463Z               40 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9702481Z 
2022-11-23T02:04:38.9702613Z 1165          42 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9702737Z               44 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9702840Z               46 BINARY_TRUE_DIVIDE
2022-11-23T02:04:38.9702859Z 
2022-11-23T02:04:38.9702989Z 1166          48 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9703121Z               50 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9703245Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T02:04:38.9703265Z 
2022-11-23T02:04:38.9703391Z 1161          54 BUILD_TUPLE              5
2022-11-23T02:04:38.9703506Z               56 RETURN_VALUE
2022-11-23T02:04:38.9703599Z  
2022-11-23T02:04:38.9703618Z 
2022-11-23T02:04:38.9704048Z [2022-11-23 01:53:14,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1162
2022-11-23T02:04:38.9704325Z [2022-11-23 01:53:14,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.9704734Z [2022-11-23 01:53:14,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9705072Z [2022-11-23 01:53:14,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T02:04:38.9705457Z [2022-11-23 01:53:14,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T02:04:38.9705893Z [2022-11-23 01:53:14,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.9706415Z [2022-11-23 01:53:14,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T02:04:38.9706969Z [2022-11-23 01:53:14,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T02:04:38.9707456Z [2022-11-23 01:53:14,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1163
2022-11-23T02:04:38.9707798Z [2022-11-23 01:53:14,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.9708246Z [2022-11-23 01:53:14,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9708613Z [2022-11-23 01:53:14,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9709014Z [2022-11-23 01:53:14,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T02:04:38.9709491Z [2022-11-23 01:53:14,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.9710153Z [2022-11-23 01:53:14,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T02:04:38.9710748Z [2022-11-23 01:53:14,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9711173Z [2022-11-23 01:53:14,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1164
2022-11-23T02:04:38.9711538Z [2022-11-23 01:53:14,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9712014Z [2022-11-23 01:53:14,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9712429Z [2022-11-23 01:53:14,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9712887Z [2022-11-23 01:53:14,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T02:04:38.9713406Z [2022-11-23 01:53:14,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.9713996Z [2022-11-23 01:53:14,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T02:04:38.9714614Z [2022-11-23 01:53:14,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9715043Z [2022-11-23 01:53:14,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1165
2022-11-23T02:04:38.9715435Z [2022-11-23 01:53:14,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9715856Z [2022-11-23 01:53:14,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:38.9716377Z [2022-11-23 01:53:14,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.9716881Z [2022-11-23 01:53:14,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1166
2022-11-23T02:04:38.9717332Z [2022-11-23 01:53:14,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:38.9717822Z [2022-11-23 01:53:14,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T02:04:38.9718398Z [2022-11-23 01:53:14,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:38.9718821Z [2022-11-23 01:53:14,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1161
2022-11-23T02:04:38.9719330Z [2022-11-23 01:53:14,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T02:04:38.9719733Z [2022-11-23 01:53:14,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9720254Z [2022-11-23 01:53:14,255] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641131000, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1160>
2022-11-23T02:04:38.9720591Z [2022-11-23 01:53:14,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9720913Z [2022-11-23 01:53:14,255] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.9721245Z [2022-11-23 01:53:14,257] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.9721584Z [2022-11-23 01:53:14,265] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.9721854Z [2022-11-23 01:53:14,265] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.9722050Z  __compiled_fn_155 <eval_with_key>.1389 opcode, name, target, args, kwargs
2022-11-23T02:04:38.9722302Z call_function, div, aten.div, (1024, 100), {'rounding_mode': None}
2022-11-23T02:04:38.9722569Z call_function, div_1, aten.div, (1024, 100), {'rounding_mode': 'floor'}
2022-11-23T02:04:38.9722827Z call_function, div_2, aten.div, (1024, 100), {'rounding_mode': 'trunc'}
2022-11-23T02:04:38.9722984Z output, output, output, ((div, div_1, div_2),), {}
2022-11-23T02:04:38.9723008Z 
2022-11-23T02:04:38.9723451Z [2022-11-23 01:53:14,266] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9723573Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.9723710Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9723843Z               4 BUILD_MAP                0
2022-11-23T02:04:38.9723979Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.9724104Z               8 DICT_MERGE               1
2022-11-23T02:04:38.9724237Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.9724355Z              12 RETURN_VALUE
2022-11-23T02:04:38.9724375Z 
2022-11-23T02:04:38.9724448Z  
2022-11-23T02:04:38.9724885Z [2022-11-23 01:53:14,266] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9725040Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_155)
2022-11-23T02:04:38.9725169Z               2 CALL_FUNCTION            0
2022-11-23T02:04:38.9725323Z               4 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.9725470Z               6 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9725603Z               8 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9725790Z              10 BINARY_SUBSCR
2022-11-23T02:04:38.9725919Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9726048Z              14 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9726163Z              16 BINARY_SUBSCR
2022-11-23T02:04:38.9726311Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9726441Z              20 LOAD_CONST               3 (2)
2022-11-23T02:04:38.9726551Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.9726686Z              24 LOAD_CONST               4 (10.24)
2022-11-23T02:04:38.9726798Z              26 LOAD_CONST               5 (10)
2022-11-23T02:04:38.9726927Z              28 BUILD_TUPLE              5
2022-11-23T02:04:38.9727041Z              30 RETURN_VALUE
2022-11-23T02:04:38.9727060Z 
2022-11-23T02:04:38.9727153Z  
2022-11-23T02:04:38.9727416Z [2022-11-23 01:53:14,268] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.9727527Z  - 
2022-11-23T02:04:38.9727706Z             local 'ex' EQUALS_MATCH
2022-11-23T02:04:38.9727786Z             {
2022-11-23T02:04:38.9728019Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:38.9728510Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2', '___check_type_id(ex[0], 93849050129792)', '___check_type_id(ex[1], 93849050129792)', 'ex == (1024, 100)'],
2022-11-23T02:04:38.9728691Z                 'obj_weakref': None
2022-11-23T02:04:38.9729003Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.9729100Z             }
2022-11-23T02:04:38.9729198Z             
2022-11-23T02:04:38.9729284Z  - 
2022-11-23T02:04:38.9729471Z             local 'ex[0]' CONSTANT_MATCH
2022-11-23T02:04:38.9729572Z             {
2022-11-23T02:04:38.9729771Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:38.9730031Z                 'code': ['___check_type_id(ex[0], 93849050129792)', 'ex[0] == 1024'],
2022-11-23T02:04:38.9730203Z                 'obj_weakref': None
2022-11-23T02:04:38.9730511Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:38.9730608Z             }
2022-11-23T02:04:38.9730687Z             
2022-11-23T02:04:38.9730796Z  - 
2022-11-23T02:04:38.9730984Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T02:04:38.9731083Z             {
2022-11-23T02:04:38.9731283Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:38.9731545Z                 'code': ['___check_type_id(ex[1], 93849050129792)', 'ex[1] == 100'],
2022-11-23T02:04:38.9731694Z                 'obj_weakref': None
2022-11-23T02:04:38.9732000Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:38.9732095Z             }
2022-11-23T02:04:38.9732190Z             
2022-11-23T02:04:38.9732297Z  - 
2022-11-23T02:04:38.9732483Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.9732578Z             {
2022-11-23T02:04:38.9732753Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.9732983Z                 'code': ['___check_obj_id(model, 140347994911456)'],
2022-11-23T02:04:38.9733152Z                 'obj_weakref': None
2022-11-23T02:04:38.9733468Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.9733566Z             }
2022-11-23T02:04:38.9733664Z             
2022-11-23T02:04:38.9733771Z  - 
2022-11-23T02:04:38.9733925Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.9734023Z             {
2022-11-23T02:04:38.9734214Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.9734510Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.9734677Z                 'obj_weakref': None
2022-11-23T02:04:38.9734982Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.9735080Z             }
2022-11-23T02:04:38.9735241Z             
2022-11-23T02:04:38.9735347Z  - 
2022-11-23T02:04:38.9735528Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.9735626Z             {
2022-11-23T02:04:38.9735798Z                 'guard_types': None,
2022-11-23T02:04:38.9735955Z                 'code': None,
2022-11-23T02:04:38.9736694Z                 'obj_weakref': None
2022-11-23T02:04:38.9736982Z                 'guarded_class': None
2022-11-23T02:04:38.9737059Z             }
2022-11-23T02:04:38.9737153Z             
2022-11-23T02:04:38.9737515Z [2022-11-23 01:53:14,279] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 154
2022-11-23T02:04:38.9738008Z [2022-11-23 01:53:16,862] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t3/ct3rcykxbr22hviahpp2pahfhco4zrxvgbfpvqte43b2ixijilnf.py
2022-11-23T02:04:38.9738366Z [2022-11-23 01:53:16,863] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 154
2022-11-23T02:04:38.9738394Z 
2022-11-23T02:04:38.9738535Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.9738643Z import torch
2022-11-23T02:04:38.9738729Z import random
2022-11-23T02:04:38.9738893Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.9739213Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.9739235Z 
2022-11-23T02:04:38.9739359Z aten = torch.ops.aten
2022-11-23T02:04:38.9739552Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.9739687Z async_compile = AsyncCompile()
2022-11-23T02:04:38.9739707Z 
2022-11-23T02:04:38.9739727Z 
2022-11-23T02:04:38.9739920Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.9740199Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.9740340Z extern "C" void kernel(long* __restrict__ out_ptr0,
2022-11-23T02:04:38.9740481Z                        long* __restrict__ out_ptr1,
2022-11-23T02:04:38.9740615Z                        long* __restrict__ out_ptr2)
2022-11-23T02:04:38.9740711Z {
2022-11-23T02:04:38.9740802Z     {
2022-11-23T02:04:38.9740900Z         {
2022-11-23T02:04:38.9741047Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T02:04:38.9741171Z             auto tmp1 = static_cast<long>(100);
2022-11-23T02:04:38.9741300Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:38.9741421Z             out_ptr0[0] = tmp2;
2022-11-23T02:04:38.9741516Z         }
2022-11-23T02:04:38.9741609Z     }
2022-11-23T02:04:38.9741700Z     {
2022-11-23T02:04:38.9741774Z         {
2022-11-23T02:04:38.9741925Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T02:04:38.9742067Z             auto tmp1 = static_cast<long>(100);
2022-11-23T02:04:38.9742404Z             auto tmp2 = ((tmp0 < 0) != (tmp1 < 0) ? (tmp0 % tmp1 != 0 ? tmp0 / tmp1 - 1 : tmp0 / tmp1) : tmp0 / tmp1);
2022-11-23T02:04:38.9742522Z             out_ptr1[0] = tmp2;
2022-11-23T02:04:38.9742617Z         }
2022-11-23T02:04:38.9742709Z     }
2022-11-23T02:04:38.9742787Z     {
2022-11-23T02:04:38.9742884Z         {
2022-11-23T02:04:38.9743029Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T02:04:38.9743172Z             auto tmp1 = static_cast<long>(100);
2022-11-23T02:04:38.9743296Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:38.9743415Z             out_ptr2[0] = tmp2;
2022-11-23T02:04:38.9743511Z         }
2022-11-23T02:04:38.9743585Z     }
2022-11-23T02:04:38.9743676Z }
2022-11-23T02:04:38.9743798Z ''')
2022-11-23T02:04:38.9743818Z 
2022-11-23T02:04:38.9743836Z 
2022-11-23T02:04:38.9743970Z async_compile.wait(globals())
2022-11-23T02:04:38.9744079Z del async_compile
2022-11-23T02:04:38.9744098Z 
2022-11-23T02:04:38.9744203Z def call(args):
2022-11-23T02:04:38.9744457Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9744772Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9744997Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9745332Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:38.9745454Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:38.9745473Z 
2022-11-23T02:04:38.9745491Z 
2022-11-23T02:04:38.9745605Z if __name__ == "__main__":
2022-11-23T02:04:38.9745771Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.9745950Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.9746090Z     print_performance(lambda: call([]))
2022-11-23T02:04:38.9746110Z 
2022-11-23T02:04:38.9746211Z ok (2.650s)
2022-11-23T02:04:38.9746609Z   test_div_prim_cpu (__main__.CpuTests) ... [2022-11-23 01:53:16,870] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.9747033Z [2022-11-23 01:53:16,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.9747329Z [2022-11-23 01:53:16,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.9747675Z [2022-11-23 01:53:16,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.9748101Z [2022-11-23 01:53:16,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.9748536Z [2022-11-23 01:53:16,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9749001Z [2022-11-23 01:53:16,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9749431Z [2022-11-23 01:53:16,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9749928Z [2022-11-23 01:53:16,872] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641131370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198> 
2022-11-23T02:04:38.9750075Z  1199           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.9750190Z                2 LOAD_ATTR                1 (ops)
2022-11-23T02:04:38.9750330Z                4 LOAD_ATTR                2 (prims)
2022-11-23T02:04:38.9750463Z                6 LOAD_METHOD              3 (div)
2022-11-23T02:04:38.9750597Z                8 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9750726Z               10 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9750856Z               12 CALL_METHOD              2
2022-11-23T02:04:38.9750984Z               14 BUILD_TUPLE              1
2022-11-23T02:04:38.9751078Z               16 RETURN_VALUE
2022-11-23T02:04:38.9751173Z  
2022-11-23T02:04:38.9751193Z 
2022-11-23T02:04:38.9751621Z [2022-11-23 01:53:16,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1199
2022-11-23T02:04:38.9751925Z [2022-11-23 01:53:16,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.9752411Z [2022-11-23 01:53:16,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.9752811Z [2022-11-23 01:53:16,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:38.9753222Z [2022-11-23 01:53:16,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T02:04:38.9753559Z [2022-11-23 01:53:16,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(prims.div)]
2022-11-23T02:04:38.9753937Z [2022-11-23 01:53:16,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(prims.div), TensorVariable()]
2022-11-23T02:04:38.9754358Z [2022-11-23 01:53:16,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9754729Z [2022-11-23 01:53:16,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.9755069Z [2022-11-23 01:53:16,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9755571Z [2022-11-23 01:53:16,884] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641131370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198>
2022-11-23T02:04:38.9755905Z [2022-11-23 01:53:16,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9756221Z [2022-11-23 01:53:16,884] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.9756565Z [2022-11-23 01:53:16,886] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.9756913Z [2022-11-23 01:53:16,891] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.9757171Z [2022-11-23 01:53:16,892] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.9757407Z  __compiled_fn_156 <eval_with_key>.1395 opcode, name, target, args, kwargs
2022-11-23T02:04:38.9757523Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.9757650Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.9757805Z call_function, div, prims.div, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9757942Z output, output, output, ((div,),), {}
2022-11-23T02:04:38.9757962Z 
2022-11-23T02:04:38.9758399Z [2022-11-23 01:53:16,892] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9758536Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.9758670Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9758800Z               4 BUILD_MAP                0
2022-11-23T02:04:38.9758917Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.9759042Z               8 DICT_MERGE               1
2022-11-23T02:04:38.9759172Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.9759288Z              12 RETURN_VALUE
2022-11-23T02:04:38.9759308Z 
2022-11-23T02:04:38.9759400Z  
2022-11-23T02:04:38.9759828Z [2022-11-23 01:53:16,892] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9759984Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_156)
2022-11-23T02:04:38.9760116Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9760227Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9760341Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.9760469Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9760599Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9760722Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.9760850Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.9760999Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.9761132Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9761264Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9761377Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.9761509Z              24 BUILD_TUPLE              1
2022-11-23T02:04:38.9761617Z              26 RETURN_VALUE
2022-11-23T02:04:38.9761637Z 
2022-11-23T02:04:38.9761730Z  
2022-11-23T02:04:38.9761990Z [2022-11-23 01:53:16,894] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.9762078Z  - 
2022-11-23T02:04:38.9762247Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.9762343Z             {
2022-11-23T02:04:38.9762612Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.9762939Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.9763208Z                 'obj_weakref': None
2022-11-23T02:04:38.9763519Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.9763598Z             }
2022-11-23T02:04:38.9763699Z             
2022-11-23T02:04:38.9763803Z  - 
2022-11-23T02:04:38.9763981Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.9764078Z             {
2022-11-23T02:04:38.9764279Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9764435Z                 'code': None,
2022-11-23T02:04:38.9764704Z                 'obj_weakref': <weakref at 0x7fa53222c7c0; to 'Tensor' at 0x7fa550111e40>
2022-11-23T02:04:38.9765046Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9765143Z             }
2022-11-23T02:04:38.9765238Z             
2022-11-23T02:04:38.9765345Z  - 
2022-11-23T02:04:38.9765523Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.9765620Z             {
2022-11-23T02:04:38.9765801Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9765956Z                 'code': None,
2022-11-23T02:04:38.9766306Z                 'obj_weakref': <weakref at 0x7fa53222e570; to 'Tensor' at 0x7fa5320be700>
2022-11-23T02:04:38.9766653Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9766749Z             }
2022-11-23T02:04:38.9766847Z             
2022-11-23T02:04:38.9766957Z  - 
2022-11-23T02:04:38.9767124Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.9767219Z             {
2022-11-23T02:04:38.9767408Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.9767644Z                 'code': ['___check_obj_id(model, 140347994911456)'],
2022-11-23T02:04:38.9767813Z                 'obj_weakref': None
2022-11-23T02:04:38.9768129Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.9768231Z             }
2022-11-23T02:04:38.9768309Z             
2022-11-23T02:04:38.9768416Z  - 
2022-11-23T02:04:38.9768590Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.9768686Z             {
2022-11-23T02:04:38.9768881Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.9769180Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.9769347Z                 'obj_weakref': None
2022-11-23T02:04:38.9769630Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.9769730Z             }
2022-11-23T02:04:38.9769824Z             
2022-11-23T02:04:38.9769933Z  - 
2022-11-23T02:04:38.9770117Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.9770216Z             {
2022-11-23T02:04:38.9770387Z                 'guard_types': None,
2022-11-23T02:04:38.9770522Z                 'code': None,
2022-11-23T02:04:38.9770697Z                 'obj_weakref': None
2022-11-23T02:04:38.9770870Z                 'guarded_class': None
2022-11-23T02:04:38.9770970Z             }
2022-11-23T02:04:38.9771062Z             
2022-11-23T02:04:38.9771422Z [2022-11-23 01:53:16,903] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 155
2022-11-23T02:04:38.9771911Z [2022-11-23 01:53:19,508] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ry/crypef32dum2ms2y6whijcj4oovtkziuhr4iy7xllm44rz555ios.py
2022-11-23T02:04:38.9772253Z [2022-11-23 01:53:19,509] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 155
2022-11-23T02:04:38.9772582Z [2022-11-23 01:53:19,514] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.9773003Z [2022-11-23 01:53:19,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.9773389Z [2022-11-23 01:53:19,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.9773735Z [2022-11-23 01:53:19,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.9774114Z [2022-11-23 01:53:19,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.9774554Z [2022-11-23 01:53:19,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9775024Z [2022-11-23 01:53:19,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9775459Z [2022-11-23 01:53:19,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9775964Z [2022-11-23 01:53:19,516] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641131370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198> 
2022-11-23T02:04:38.9776934Z  1199           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:38.9777317Z                2 LOAD_ATTR                1 (ops)
2022-11-23T02:04:38.9777542Z                4 LOAD_ATTR                2 (prims)
2022-11-23T02:04:38.9777751Z                6 LOAD_METHOD              3 (div)
2022-11-23T02:04:38.9777950Z                8 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9778145Z               10 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9778345Z               12 CALL_METHOD              2
2022-11-23T02:04:38.9778553Z               14 BUILD_TUPLE              1
2022-11-23T02:04:38.9778710Z               16 RETURN_VALUE
2022-11-23T02:04:38.9778858Z  
2022-11-23T02:04:38.9778891Z 
2022-11-23T02:04:38.9779633Z [2022-11-23 01:53:19,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1199
2022-11-23T02:04:38.9780128Z [2022-11-23 01:53:19,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:38.9780720Z [2022-11-23 01:53:19,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:38.9781121Z [2022-11-23 01:53:19,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:38.9781533Z [2022-11-23 01:53:19,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T02:04:38.9781879Z [2022-11-23 01:53:19,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(prims.div)]
2022-11-23T02:04:38.9782256Z [2022-11-23 01:53:19,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(prims.div), TensorVariable()]
2022-11-23T02:04:38.9782683Z [2022-11-23 01:53:19,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9782991Z [2022-11-23 01:53:19,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:38.9783326Z [2022-11-23 01:53:19,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9783825Z [2022-11-23 01:53:19,528] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641131370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198>
2022-11-23T02:04:38.9784151Z [2022-11-23 01:53:19,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9784467Z [2022-11-23 01:53:19,528] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.9784813Z [2022-11-23 01:53:19,530] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.9785289Z [2022-11-23 01:53:19,535] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.9785554Z [2022-11-23 01:53:19,536] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.9785747Z  __compiled_fn_157 <eval_with_key>.1401 opcode, name, target, args, kwargs
2022-11-23T02:04:38.9785861Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.9785990Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.9786147Z call_function, div, prims.div, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9786284Z output, output, output, ((div,),), {}
2022-11-23T02:04:38.9786306Z 
2022-11-23T02:04:38.9786798Z [2022-11-23 01:53:19,536] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9786943Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.9787079Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9787214Z               4 BUILD_MAP                0
2022-11-23T02:04:38.9787331Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.9787453Z               8 DICT_MERGE               1
2022-11-23T02:04:38.9787648Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.9787773Z              12 RETURN_VALUE
2022-11-23T02:04:38.9787793Z 
2022-11-23T02:04:38.9787888Z  
2022-11-23T02:04:38.9788322Z [2022-11-23 01:53:19,537] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9788481Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_157)
2022-11-23T02:04:38.9788596Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9788730Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9788845Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.9788978Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9789116Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9789229Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.9789358Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.9789490Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.9789641Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9789774Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9789894Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.9790024Z              24 BUILD_TUPLE              1
2022-11-23T02:04:38.9790139Z              26 RETURN_VALUE
2022-11-23T02:04:38.9790159Z 
2022-11-23T02:04:38.9790253Z  
2022-11-23T02:04:38.9790510Z [2022-11-23 01:53:19,538] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.9790599Z  - 
2022-11-23T02:04:38.9790765Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.9790866Z             {
2022-11-23T02:04:38.9791063Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.9791324Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.9791493Z                 'obj_weakref': None
2022-11-23T02:04:38.9791803Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.9791883Z             }
2022-11-23T02:04:38.9791979Z             
2022-11-23T02:04:38.9792088Z  - 
2022-11-23T02:04:38.9792265Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.9792365Z             {
2022-11-23T02:04:38.9792565Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9792718Z                 'code': None,
2022-11-23T02:04:38.9792989Z                 'obj_weakref': <weakref at 0x7fa53222f3d0; to 'Tensor' at 0x7fa550111e40>
2022-11-23T02:04:38.9793335Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9793433Z             }
2022-11-23T02:04:38.9793531Z             
2022-11-23T02:04:38.9793712Z  - 
2022-11-23T02:04:38.9793895Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.9793990Z             {
2022-11-23T02:04:38.9794170Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9794323Z                 'code': None,
2022-11-23T02:04:38.9794611Z                 'obj_weakref': <weakref at 0x7fa53222e8e0; to 'Tensor' at 0x7fa559eeba10>
2022-11-23T02:04:38.9794952Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9795049Z             }
2022-11-23T02:04:38.9795147Z             
2022-11-23T02:04:38.9795253Z  - 
2022-11-23T02:04:38.9795417Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.9795516Z             {
2022-11-23T02:04:38.9795705Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.9795944Z                 'code': ['___check_obj_id(model, 140347994911456)'],
2022-11-23T02:04:38.9796113Z                 'obj_weakref': None
2022-11-23T02:04:38.9796431Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.9796530Z             }
2022-11-23T02:04:38.9796606Z             
2022-11-23T02:04:38.9796713Z  - 
2022-11-23T02:04:38.9796884Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.9797040Z             {
2022-11-23T02:04:38.9797245Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.9797542Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.9797711Z                 'obj_weakref': None
2022-11-23T02:04:38.9797993Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.9798089Z             }
2022-11-23T02:04:38.9798186Z             
2022-11-23T02:04:38.9798290Z  - 
2022-11-23T02:04:38.9798477Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:38.9798577Z             {
2022-11-23T02:04:38.9798746Z                 'guard_types': None,
2022-11-23T02:04:38.9798887Z                 'code': None,
2022-11-23T02:04:38.9799052Z                 'obj_weakref': None
2022-11-23T02:04:38.9799223Z                 'guarded_class': None
2022-11-23T02:04:38.9799322Z             }
2022-11-23T02:04:38.9799419Z             
2022-11-23T02:04:38.9799775Z [2022-11-23 01:53:19,547] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 156
2022-11-23T02:04:38.9800270Z [2022-11-23 01:53:22,104] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/se/csetwtngtobt3kvyrvhcfu2o6dgpd2ovimcs4z56wfdw6jhz5uzh.py
2022-11-23T02:04:38.9800612Z [2022-11-23 01:53:22,104] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 156
2022-11-23T02:04:38.9800652Z 
2022-11-23T02:04:38.9800770Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.9800873Z import torch
2022-11-23T02:04:38.9800978Z import random
2022-11-23T02:04:38.9801142Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.9801319Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.9801340Z 
2022-11-23T02:04:38.9801456Z aten = torch.ops.aten
2022-11-23T02:04:38.9801643Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.9801768Z async_compile = AsyncCompile()
2022-11-23T02:04:38.9801787Z 
2022-11-23T02:04:38.9801808Z 
2022-11-23T02:04:38.9802003Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.9802284Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.9802454Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.9802604Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.9802750Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:38.9802844Z {
2022-11-23T02:04:38.9802987Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.9803063Z     {
2022-11-23T02:04:38.9803179Z         #pragma omp for 
2022-11-23T02:04:38.9803371Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:38.9803467Z         {
2022-11-23T02:04:38.9803697Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.9803880Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:38.9804009Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:38.9804122Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.9804218Z         }
2022-11-23T02:04:38.9804354Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.9804474Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T02:04:38.9804568Z         {
2022-11-23T02:04:38.9804689Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.9804809Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:38.9804913Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:38.9805031Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.9805128Z         }
2022-11-23T02:04:38.9805220Z     }
2022-11-23T02:04:38.9805312Z }
2022-11-23T02:04:38.9805443Z ''')
2022-11-23T02:04:38.9805463Z 
2022-11-23T02:04:38.9805481Z 
2022-11-23T02:04:38.9805612Z async_compile.wait(globals())
2022-11-23T02:04:38.9805704Z del async_compile
2022-11-23T02:04:38.9805723Z 
2022-11-23T02:04:38.9805829Z def call(args):
2022-11-23T02:04:38.9805993Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.9806105Z     args.clear()
2022-11-23T02:04:38.9806387Z     buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9806615Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.9806721Z     del arg0_1
2022-11-23T02:04:38.9806806Z     del arg1_1
2022-11-23T02:04:38.9806915Z     return (buf0, )
2022-11-23T02:04:38.9806935Z 
2022-11-23T02:04:38.9806953Z 
2022-11-23T02:04:38.9807071Z if __name__ == "__main__":
2022-11-23T02:04:38.9807233Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.9807409Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.9807690Z     arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9807957Z     arg1_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9808122Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.9808145Z 
2022-11-23T02:04:38.9808164Z 
2022-11-23T02:04:38.9808282Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.9808390Z import torch
2022-11-23T02:04:38.9808496Z import random
2022-11-23T02:04:38.9808659Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.9808828Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.9808847Z 
2022-11-23T02:04:38.9808962Z aten = torch.ops.aten
2022-11-23T02:04:38.9809154Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.9809271Z async_compile = AsyncCompile()
2022-11-23T02:04:38.9809309Z 
2022-11-23T02:04:38.9809328Z 
2022-11-23T02:04:38.9809502Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.9809784Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.9809949Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:38.9810102Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:38.9810247Z                        long* __restrict__ out_ptr0)
2022-11-23T02:04:38.9810341Z {
2022-11-23T02:04:38.9810480Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.9810555Z     {
2022-11-23T02:04:38.9810672Z         #pragma omp for 
2022-11-23T02:04:38.9810794Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T02:04:38.9810888Z         {
2022-11-23T02:04:38.9810986Z             {
2022-11-23T02:04:38.9811084Z                 {
2022-11-23T02:04:38.9811221Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.9811339Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:38.9811469Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:38.9811595Z                     out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.9811786Z                 }
2022-11-23T02:04:38.9811883Z             }
2022-11-23T02:04:38.9811978Z         }
2022-11-23T02:04:38.9812073Z     }
2022-11-23T02:04:38.9812146Z }
2022-11-23T02:04:38.9812272Z ''')
2022-11-23T02:04:38.9812291Z 
2022-11-23T02:04:38.9812313Z 
2022-11-23T02:04:38.9812448Z async_compile.wait(globals())
2022-11-23T02:04:38.9812557Z del async_compile
2022-11-23T02:04:38.9812576Z 
2022-11-23T02:04:38.9812684Z def call(args):
2022-11-23T02:04:38.9812797Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.9812903Z     args.clear()
2022-11-23T02:04:38.9813148Z     buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9813375Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:38.9813479Z     del arg0_1
2022-11-23T02:04:38.9813583Z     del arg1_1
2022-11-23T02:04:38.9813695Z     return (buf0, )
2022-11-23T02:04:38.9813714Z 
2022-11-23T02:04:38.9813738Z 
2022-11-23T02:04:38.9813851Z if __name__ == "__main__":
2022-11-23T02:04:38.9814014Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.9814189Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.9814512Z     arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9814785Z     arg1_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:38.9815019Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.9815039Z 
2022-11-23T02:04:38.9815144Z ok (5.241s)
2022-11-23T02:04:38.9815562Z   test_div_zero_dim_cpu (__main__.CpuTests) ... [2022-11-23 01:53:22,112] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.9815986Z [2022-11-23 01:53:22,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.9817000Z [2022-11-23 01:53:22,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.9817359Z [2022-11-23 01:53:22,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.9817719Z [2022-11-23 01:53:22,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.9818152Z [2022-11-23 01:53:22,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9818610Z [2022-11-23 01:53:22,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9819042Z [2022-11-23 01:53:22,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9819545Z [2022-11-23 01:53:22,113] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641131160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T02:04:38.9819691Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9819823Z                2 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9819959Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9820090Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9820205Z                8 LOAD_CONST               0 (None)
2022-11-23T02:04:38.9820436Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9820574Z               12 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9820594Z 
2022-11-23T02:04:38.9820729Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9820860Z               16 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9820990Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9821116Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9821492Z               22 LOAD_CONST               2 ('floor')
2022-11-23T02:04:38.9821696Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9821832Z               26 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9821851Z 
2022-11-23T02:04:38.9821988Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9822119Z               30 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9822251Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9822379Z               34 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9822581Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T02:04:38.9822802Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9822919Z               40 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9822937Z 
2022-11-23T02:04:38.9823064Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9823192Z               44 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9823318Z               46 BINARY_TRUE_DIVIDE
2022-11-23T02:04:38.9823337Z 
2022-11-23T02:04:38.9823464Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9823591Z               50 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9823714Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T02:04:38.9823810Z 
2022-11-23T02:04:38.9823948Z 1173          54 BUILD_TUPLE              5
2022-11-23T02:04:38.9824042Z               56 RETURN_VALUE
2022-11-23T02:04:38.9824136Z  
2022-11-23T02:04:38.9824155Z 
2022-11-23T02:04:38.9824585Z [2022-11-23 01:53:22,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T02:04:38.9824883Z [2022-11-23 01:53:22,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.9825290Z [2022-11-23 01:53:22,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9825635Z [2022-11-23 01:53:22,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T02:04:38.9826005Z [2022-11-23 01:53:22,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9826420Z [2022-11-23 01:53:22,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9826920Z [2022-11-23 01:53:22,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:38.9827435Z [2022-11-23 01:53:22,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T02:04:38.9827856Z [2022-11-23 01:53:22,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T02:04:38.9828190Z [2022-11-23 01:53:22,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.9828638Z [2022-11-23 01:53:22,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9829008Z [2022-11-23 01:53:22,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9829413Z [2022-11-23 01:53:22,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9829866Z [2022-11-23 01:53:22,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9830385Z [2022-11-23 01:53:22,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9831040Z [2022-11-23 01:53:22,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9831465Z [2022-11-23 01:53:22,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T02:04:38.9831831Z [2022-11-23 01:53:22,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9832310Z [2022-11-23 01:53:22,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9832698Z [2022-11-23 01:53:22,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9833143Z [2022-11-23 01:53:22,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9833750Z [2022-11-23 01:53:22,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9834313Z [2022-11-23 01:53:22,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9834912Z [2022-11-23 01:53:22,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9835342Z [2022-11-23 01:53:22,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T02:04:38.9835739Z [2022-11-23 01:53:22,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9836166Z [2022-11-23 01:53:22,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9836655Z [2022-11-23 01:53:22,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9837075Z [2022-11-23 01:53:22,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T02:04:38.9837498Z [2022-11-23 01:53:22,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9837961Z [2022-11-23 01:53:22,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9838495Z [2022-11-23 01:53:22,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9838911Z [2022-11-23 01:53:22,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T02:04:38.9839361Z [2022-11-23 01:53:22,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9839694Z [2022-11-23 01:53:22,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9840256Z [2022-11-23 01:53:22,159] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641131160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T02:04:38.9840596Z [2022-11-23 01:53:22,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9840918Z [2022-11-23 01:53:22,159] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.9841269Z [2022-11-23 01:53:22,162] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.9841609Z [2022-11-23 01:53:22,177] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.9841918Z [2022-11-23 01:53:22,178] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.9842109Z  __compiled_fn_158 <eval_with_key>.1407 opcode, name, target, args, kwargs
2022-11-23T02:04:38.9842227Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.9842353Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.9842613Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T02:04:38.9842868Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T02:04:38.9843190Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T02:04:38.9843459Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9843726Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9843915Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T02:04:38.9843939Z 
2022-11-23T02:04:38.9844357Z [2022-11-23 01:53:22,179] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9844497Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.9844634Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9844760Z               4 BUILD_MAP                0
2022-11-23T02:04:38.9844891Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.9845018Z               8 DICT_MERGE               1
2022-11-23T02:04:38.9845155Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.9845266Z              12 RETURN_VALUE
2022-11-23T02:04:38.9845286Z 
2022-11-23T02:04:38.9845363Z  
2022-11-23T02:04:38.9845799Z [2022-11-23 01:53:22,179] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9845955Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_158)
2022-11-23T02:04:38.9846087Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9846222Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9846338Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.9846475Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9846590Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9846709Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.9846838Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.9846991Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.9847136Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9847266Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9847381Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.9847511Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9847641Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9847756Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.9847900Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9848030Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:38.9848141Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.9848281Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9848495Z              38 LOAD_CONST               4 (3)
2022-11-23T02:04:38.9848591Z              40 BINARY_SUBSCR
2022-11-23T02:04:38.9848738Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9848871Z              44 LOAD_CONST               5 (4)
2022-11-23T02:04:38.9848985Z              46 BINARY_SUBSCR
2022-11-23T02:04:38.9849114Z              48 BUILD_TUPLE              5
2022-11-23T02:04:38.9849228Z              50 RETURN_VALUE
2022-11-23T02:04:38.9849248Z 
2022-11-23T02:04:38.9849344Z  
2022-11-23T02:04:38.9849595Z [2022-11-23 01:53:22,180] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.9849706Z  - 
2022-11-23T02:04:38.9849876Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.9849975Z             {
2022-11-23T02:04:38.9850176Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.9850435Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.9850611Z                 'obj_weakref': None
2022-11-23T02:04:38.9850897Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.9851001Z             }
2022-11-23T02:04:38.9851101Z             
2022-11-23T02:04:38.9851271Z  - 
2022-11-23T02:04:38.9851457Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.9851553Z             {
2022-11-23T02:04:38.9851757Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9851893Z                 'code': None,
2022-11-23T02:04:38.9852184Z                 'obj_weakref': <weakref at 0x7fa5320be890; to 'Tensor' at 0x7fa53c424680>
2022-11-23T02:04:38.9852527Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9852626Z             }
2022-11-23T02:04:38.9852721Z             
2022-11-23T02:04:38.9852828Z  - 
2022-11-23T02:04:38.9853003Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.9853089Z             {
2022-11-23T02:04:38.9853289Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9853448Z                 'code': None,
2022-11-23T02:04:38.9853734Z                 'obj_weakref': <weakref at 0x7fa5320be200; to 'Tensor' at 0x7fa53c424360>
2022-11-23T02:04:38.9854079Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9854177Z             }
2022-11-23T02:04:38.9854273Z             
2022-11-23T02:04:38.9854360Z  - 
2022-11-23T02:04:38.9854543Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.9854640Z             {
2022-11-23T02:04:38.9854828Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.9855061Z                 'code': ['___check_obj_id(model, 140347994911456)'],
2022-11-23T02:04:38.9855232Z                 'obj_weakref': None
2022-11-23T02:04:38.9855542Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.9855628Z             }
2022-11-23T02:04:38.9855724Z             
2022-11-23T02:04:38.9855835Z  - 
2022-11-23T02:04:38.9856012Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.9856681Z             {
2022-11-23T02:04:38.9857012Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.9857401Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.9857517Z                 'obj_weakref': None
2022-11-23T02:04:38.9857816Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.9857911Z             }
2022-11-23T02:04:38.9858006Z             
2022-11-23T02:04:38.9858109Z  - 
2022-11-23T02:04:38.9858293Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.9858391Z             {
2022-11-23T02:04:38.9858542Z                 'guard_types': None,
2022-11-23T02:04:38.9858694Z                 'code': None,
2022-11-23T02:04:38.9858859Z                 'obj_weakref': None
2022-11-23T02:04:38.9859254Z                 'guarded_class': None
2022-11-23T02:04:38.9859351Z             }
2022-11-23T02:04:38.9859443Z             
2022-11-23T02:04:38.9859803Z [2022-11-23 01:53:22,202] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 157
2022-11-23T02:04:38.9860275Z [2022-11-23 01:53:24,880] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ej/cejb4fs32qfig3znzyqqwhpbvcxm5wi7uw3ds5r627tcrxhg6tqf.py
2022-11-23T02:04:38.9860633Z [2022-11-23 01:53:24,881] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 157
2022-11-23T02:04:38.9860955Z [2022-11-23 01:53:24,888] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.9861377Z [2022-11-23 01:53:24,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.9861667Z [2022-11-23 01:53:24,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.9862011Z [2022-11-23 01:53:24,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.9862458Z [2022-11-23 01:53:24,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.9862895Z [2022-11-23 01:53:24,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9863359Z [2022-11-23 01:53:24,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9863785Z [2022-11-23 01:53:24,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9864265Z [2022-11-23 01:53:24,889] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641131160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T02:04:38.9864411Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9864546Z                2 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9864682Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9864813Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9864950Z                8 LOAD_CONST               0 (None)
2022-11-23T02:04:38.9865177Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9865310Z               12 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9865331Z 
2022-11-23T02:04:38.9865446Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9865579Z               16 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9865712Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9865842Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9866048Z               22 LOAD_CONST               2 ('floor')
2022-11-23T02:04:38.9866273Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9866411Z               26 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9866430Z 
2022-11-23T02:04:38.9866565Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9866678Z               30 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9866805Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9866932Z               34 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9867134Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T02:04:38.9867352Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9867488Z               40 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9867508Z 
2022-11-23T02:04:38.9867637Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9867746Z               44 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9867933Z               46 BINARY_TRUE_DIVIDE
2022-11-23T02:04:38.9867953Z 
2022-11-23T02:04:38.9868085Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9868225Z               50 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9868354Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T02:04:38.9868373Z 
2022-11-23T02:04:38.9868500Z 1173          54 BUILD_TUPLE              5
2022-11-23T02:04:38.9868617Z               56 RETURN_VALUE
2022-11-23T02:04:38.9868709Z  
2022-11-23T02:04:38.9868728Z 
2022-11-23T02:04:38.9869140Z [2022-11-23 01:53:24,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T02:04:38.9869441Z [2022-11-23 01:53:24,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.9869856Z [2022-11-23 01:53:24,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9870196Z [2022-11-23 01:53:24,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T02:04:38.9870565Z [2022-11-23 01:53:24,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9871040Z [2022-11-23 01:53:24,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9871546Z [2022-11-23 01:53:24,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:38.9872087Z [2022-11-23 01:53:24,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T02:04:38.9872510Z [2022-11-23 01:53:24,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T02:04:38.9872846Z [2022-11-23 01:53:24,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.9873287Z [2022-11-23 01:53:24,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9873641Z [2022-11-23 01:53:24,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9874052Z [2022-11-23 01:53:24,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9874506Z [2022-11-23 01:53:24,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9875028Z [2022-11-23 01:53:24,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9875602Z [2022-11-23 01:53:24,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9876029Z [2022-11-23 01:53:24,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T02:04:38.9876396Z [2022-11-23 01:53:24,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9876869Z [2022-11-23 01:53:24,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9877280Z [2022-11-23 01:53:24,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9877796Z [2022-11-23 01:53:24,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9878295Z [2022-11-23 01:53:24,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9878856Z [2022-11-23 01:53:24,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9879470Z [2022-11-23 01:53:24,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9879884Z [2022-11-23 01:53:24,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T02:04:38.9880363Z [2022-11-23 01:53:24,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9880800Z [2022-11-23 01:53:24,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9881290Z [2022-11-23 01:53:24,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9881716Z [2022-11-23 01:53:24,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T02:04:38.9882142Z [2022-11-23 01:53:24,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9882607Z [2022-11-23 01:53:24,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9883136Z [2022-11-23 01:53:24,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9883553Z [2022-11-23 01:53:24,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T02:04:38.9884020Z [2022-11-23 01:53:24,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9884349Z [2022-11-23 01:53:24,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9884859Z [2022-11-23 01:53:24,935] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641131160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T02:04:38.9885181Z [2022-11-23 01:53:24,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9885505Z [2022-11-23 01:53:24,936] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.9885849Z [2022-11-23 01:53:24,938] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.9886194Z [2022-11-23 01:53:24,954] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.9886459Z [2022-11-23 01:53:24,954] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.9886716Z  __compiled_fn_159 <eval_with_key>.1413 opcode, name, target, args, kwargs
2022-11-23T02:04:38.9886937Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.9887065Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.9887307Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T02:04:38.9887582Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T02:04:38.9887840Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T02:04:38.9888101Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9888371Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9888561Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T02:04:38.9888584Z 
2022-11-23T02:04:38.9889031Z [2022-11-23 01:53:24,955] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9889169Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.9889310Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9889419Z               4 BUILD_MAP                0
2022-11-23T02:04:38.9889555Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.9889681Z               8 DICT_MERGE               1
2022-11-23T02:04:38.9889885Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.9890006Z              12 RETURN_VALUE
2022-11-23T02:04:38.9890026Z 
2022-11-23T02:04:38.9890119Z  
2022-11-23T02:04:38.9890562Z [2022-11-23 01:53:24,955] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9890698Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_159)
2022-11-23T02:04:38.9890833Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9890964Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9891080Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.9891211Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9891344Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9891456Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.9891567Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.9891721Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.9891865Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9891995Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9892111Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.9892258Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9892389Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9892504Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.9892630Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9892759Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:38.9892873Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.9893017Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9893152Z              38 LOAD_CONST               4 (3)
2022-11-23T02:04:38.9893263Z              40 BINARY_SUBSCR
2022-11-23T02:04:38.9893406Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9893526Z              44 LOAD_CONST               5 (4)
2022-11-23T02:04:38.9893636Z              46 BINARY_SUBSCR
2022-11-23T02:04:38.9893765Z              48 BUILD_TUPLE              5
2022-11-23T02:04:38.9893878Z              50 RETURN_VALUE
2022-11-23T02:04:38.9893898Z 
2022-11-23T02:04:38.9893987Z  
2022-11-23T02:04:38.9894248Z [2022-11-23 01:53:24,957] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.9894358Z  - 
2022-11-23T02:04:38.9894508Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.9894607Z             {
2022-11-23T02:04:38.9894806Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.9895065Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.9895350Z                 'obj_weakref': None
2022-11-23T02:04:38.9895659Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.9895756Z             }
2022-11-23T02:04:38.9895833Z             
2022-11-23T02:04:38.9895945Z  - 
2022-11-23T02:04:38.9896630Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.9896807Z             {
2022-11-23T02:04:38.9897043Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9897199Z                 'code': None,
2022-11-23T02:04:38.9897492Z                 'obj_weakref': <weakref at 0x7fa5501e78d0; to 'Tensor' at 0x7fa53222d710>
2022-11-23T02:04:38.9897816Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9897912Z             }
2022-11-23T02:04:38.9898008Z             
2022-11-23T02:04:38.9898114Z  - 
2022-11-23T02:04:38.9898292Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.9898393Z             {
2022-11-23T02:04:38.9898591Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9898726Z                 'code': None,
2022-11-23T02:04:38.9899010Z                 'obj_weakref': <weakref at 0x7fa5501e4b80; to 'Tensor' at 0x7fa53222c540>
2022-11-23T02:04:38.9899495Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9899601Z             }
2022-11-23T02:04:38.9899698Z             
2022-11-23T02:04:38.9899805Z  - 
2022-11-23T02:04:38.9899991Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.9900068Z             {
2022-11-23T02:04:38.9900258Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.9900492Z                 'code': ['___check_obj_id(model, 140347994911456)'],
2022-11-23T02:04:38.9900662Z                 'obj_weakref': None
2022-11-23T02:04:38.9900973Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.9901076Z             }
2022-11-23T02:04:38.9901172Z             
2022-11-23T02:04:38.9901258Z  - 
2022-11-23T02:04:38.9901431Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.9901532Z             {
2022-11-23T02:04:38.9901726Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.9902022Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.9902193Z                 'obj_weakref': None
2022-11-23T02:04:38.9902493Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.9902571Z             }
2022-11-23T02:04:38.9902666Z             
2022-11-23T02:04:38.9902776Z  - 
2022-11-23T02:04:38.9902957Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.9903054Z             {
2022-11-23T02:04:38.9903226Z                 'guard_types': None,
2022-11-23T02:04:38.9903380Z                 'code': None,
2022-11-23T02:04:38.9903529Z                 'obj_weakref': None
2022-11-23T02:04:38.9903705Z                 'guarded_class': None
2022-11-23T02:04:38.9903799Z             }
2022-11-23T02:04:38.9903895Z             
2022-11-23T02:04:38.9904260Z [2022-11-23 01:53:24,979] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 158
2022-11-23T02:04:38.9904813Z [2022-11-23 01:53:27,603] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ey/ceyt4ndv34oa2ajvnhkqkz2rstuzqz7eosvg4e6ad2g6c5ksetd7.py
2022-11-23T02:04:38.9905172Z [2022-11-23 01:53:27,603] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 158
2022-11-23T02:04:38.9905496Z [2022-11-23 01:53:27,610] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.9905902Z [2022-11-23 01:53:27,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.9906196Z [2022-11-23 01:53:27,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.9906632Z [2022-11-23 01:53:27,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.9907007Z [2022-11-23 01:53:27,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.9907442Z [2022-11-23 01:53:27,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9907907Z [2022-11-23 01:53:27,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9908338Z [2022-11-23 01:53:27,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9908838Z [2022-11-23 01:53:27,611] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641131160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T02:04:38.9908984Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9909118Z                2 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9909294Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9909429Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9909568Z                8 LOAD_CONST               0 (None)
2022-11-23T02:04:38.9909799Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9909934Z               12 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9909954Z 
2022-11-23T02:04:38.9910088Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9910218Z               16 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9910330Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9910459Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9910670Z               22 LOAD_CONST               2 ('floor')
2022-11-23T02:04:38.9910892Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9911027Z               26 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9911046Z 
2022-11-23T02:04:38.9911183Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9911313Z               30 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9911443Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9911553Z               34 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9911753Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T02:04:38.9911974Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9912109Z               40 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9912128Z 
2022-11-23T02:04:38.9912257Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9912386Z               44 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9912513Z               46 BINARY_TRUE_DIVIDE
2022-11-23T02:04:38.9912533Z 
2022-11-23T02:04:38.9912661Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9912770Z               50 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9912894Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T02:04:38.9912913Z 
2022-11-23T02:04:38.9913042Z 1173          54 BUILD_TUPLE              5
2022-11-23T02:04:38.9913156Z               56 RETURN_VALUE
2022-11-23T02:04:38.9913249Z  
2022-11-23T02:04:38.9913268Z 
2022-11-23T02:04:38.9913700Z [2022-11-23 01:53:27,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T02:04:38.9914000Z [2022-11-23 01:53:27,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.9914409Z [2022-11-23 01:53:27,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9914790Z [2022-11-23 01:53:27,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T02:04:38.9915162Z [2022-11-23 01:53:27,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9915583Z [2022-11-23 01:53:27,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9916086Z [2022-11-23 01:53:27,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:38.9916623Z [2022-11-23 01:53:27,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T02:04:38.9917043Z [2022-11-23 01:53:27,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T02:04:38.9917377Z [2022-11-23 01:53:27,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.9917870Z [2022-11-23 01:53:27,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9918246Z [2022-11-23 01:53:27,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9918656Z [2022-11-23 01:53:27,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9919113Z [2022-11-23 01:53:27,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9919667Z [2022-11-23 01:53:27,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9920189Z [2022-11-23 01:53:27,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9920654Z [2022-11-23 01:53:27,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T02:04:38.9921020Z [2022-11-23 01:53:27,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9921491Z [2022-11-23 01:53:27,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9921895Z [2022-11-23 01:53:27,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9922345Z [2022-11-23 01:53:27,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9922834Z [2022-11-23 01:53:27,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9923403Z [2022-11-23 01:53:27,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9924007Z [2022-11-23 01:53:27,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9924501Z [2022-11-23 01:53:27,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T02:04:38.9924906Z [2022-11-23 01:53:27,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9925362Z [2022-11-23 01:53:27,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9925831Z [2022-11-23 01:53:27,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9926237Z [2022-11-23 01:53:27,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T02:04:38.9926742Z [2022-11-23 01:53:27,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9927215Z [2022-11-23 01:53:27,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9927795Z [2022-11-23 01:53:27,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9928223Z [2022-11-23 01:53:27,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T02:04:38.9928699Z [2022-11-23 01:53:27,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9929031Z [2022-11-23 01:53:27,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9929540Z [2022-11-23 01:53:27,652] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641131160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T02:04:38.9929877Z [2022-11-23 01:53:27,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9930205Z [2022-11-23 01:53:27,652] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.9930585Z [2022-11-23 01:53:27,655] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.9930873Z [2022-11-23 01:53:27,666] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.9931134Z [2022-11-23 01:53:27,667] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.9931323Z  __compiled_fn_160 <eval_with_key>.1419 opcode, name, target, args, kwargs
2022-11-23T02:04:38.9931460Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.9931590Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.9931847Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T02:04:38.9932116Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T02:04:38.9932376Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T02:04:38.9932618Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9932893Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9933084Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T02:04:38.9933106Z 
2022-11-23T02:04:38.9933548Z [2022-11-23 01:53:27,667] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9933686Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:38.9933900Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9934031Z               4 BUILD_MAP                0
2022-11-23T02:04:38.9934166Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:38.9934273Z               8 DICT_MERGE               1
2022-11-23T02:04:38.9934410Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:38.9934522Z              12 RETURN_VALUE
2022-11-23T02:04:38.9934543Z 
2022-11-23T02:04:38.9934634Z  
2022-11-23T02:04:38.9935074Z [2022-11-23 01:53:27,668] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:38.9935229Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_160)
2022-11-23T02:04:38.9935362Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9935496Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9935592Z               6 BINARY_SUBSCR
2022-11-23T02:04:38.9935723Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:38.9935855Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9935968Z              12 BINARY_SUBSCR
2022-11-23T02:04:38.9936778Z              14 CALL_FUNCTION            2
2022-11-23T02:04:38.9937146Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:38.9937334Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9937422Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:38.9937536Z              22 BINARY_SUBSCR
2022-11-23T02:04:38.9937683Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9937812Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:38.9937923Z              28 BINARY_SUBSCR
2022-11-23T02:04:38.9938067Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9938195Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:38.9938288Z              34 BINARY_SUBSCR
2022-11-23T02:04:38.9938444Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9938573Z              38 LOAD_CONST               4 (3)
2022-11-23T02:04:38.9938684Z              40 BINARY_SUBSCR
2022-11-23T02:04:38.9938828Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:38.9938962Z              44 LOAD_CONST               5 (4)
2022-11-23T02:04:38.9939075Z              46 BINARY_SUBSCR
2022-11-23T02:04:38.9939184Z              48 BUILD_TUPLE              5
2022-11-23T02:04:38.9939297Z              50 RETURN_VALUE
2022-11-23T02:04:38.9939317Z 
2022-11-23T02:04:38.9939407Z  
2022-11-23T02:04:38.9939705Z [2022-11-23 01:53:27,669] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:38.9939812Z  - 
2022-11-23T02:04:38.9939980Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:38.9940081Z             {
2022-11-23T02:04:38.9940261Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:38.9940516Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:38.9940692Z                 'obj_weakref': None
2022-11-23T02:04:38.9941001Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:38.9941097Z             }
2022-11-23T02:04:38.9941193Z             
2022-11-23T02:04:38.9941301Z  - 
2022-11-23T02:04:38.9941460Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:38.9941560Z             {
2022-11-23T02:04:38.9941759Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9941913Z                 'code': None,
2022-11-23T02:04:38.9942205Z                 'obj_weakref': <weakref at 0x7fa53218c3b0; to 'Tensor' at 0x7fa53c3aa160>
2022-11-23T02:04:38.9942543Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9942642Z             }
2022-11-23T02:04:38.9942719Z             
2022-11-23T02:04:38.9942827Z  - 
2022-11-23T02:04:38.9943003Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:38.9943191Z             {
2022-11-23T02:04:38.9943396Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:38.9943551Z                 'code': None,
2022-11-23T02:04:38.9943835Z                 'obj_weakref': <weakref at 0x7fa53218d120; to 'Tensor' at 0x7fa531eb3ec0>
2022-11-23T02:04:38.9944158Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:38.9944255Z             }
2022-11-23T02:04:38.9944351Z             
2022-11-23T02:04:38.9944458Z  - 
2022-11-23T02:04:38.9944641Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:38.9944738Z             {
2022-11-23T02:04:38.9944928Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:38.9945147Z                 'code': ['___check_obj_id(model, 140347994911456)'],
2022-11-23T02:04:38.9945315Z                 'obj_weakref': None
2022-11-23T02:04:38.9945629Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:38.9945736Z             }
2022-11-23T02:04:38.9945832Z             
2022-11-23T02:04:38.9945937Z  - 
2022-11-23T02:04:38.9946109Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:38.9946186Z             {
2022-11-23T02:04:38.9946436Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:38.9946744Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:38.9946912Z                 'obj_weakref': None
2022-11-23T02:04:38.9947213Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:38.9947311Z             }
2022-11-23T02:04:38.9947406Z             
2022-11-23T02:04:38.9947492Z  - 
2022-11-23T02:04:38.9947676Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:38.9947771Z             {
2022-11-23T02:04:38.9947941Z                 'guard_types': None,
2022-11-23T02:04:38.9948095Z                 'code': None,
2022-11-23T02:04:38.9948268Z                 'obj_weakref': None
2022-11-23T02:04:38.9948440Z                 'guarded_class': None
2022-11-23T02:04:38.9948517Z             }
2022-11-23T02:04:38.9948616Z             
2022-11-23T02:04:38.9948969Z [2022-11-23 01:53:27,687] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 159
2022-11-23T02:04:38.9948991Z 
2022-11-23T02:04:38.9949130Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.9949235Z import torch
2022-11-23T02:04:38.9949340Z import random
2022-11-23T02:04:38.9949504Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.9949660Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.9949698Z 
2022-11-23T02:04:38.9949797Z aten = torch.ops.aten
2022-11-23T02:04:38.9949984Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.9950121Z async_compile = AsyncCompile()
2022-11-23T02:04:38.9950140Z 
2022-11-23T02:04:38.9950159Z 
2022-11-23T02:04:38.9950351Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.9950634Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.9950808Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.9950962Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.9951086Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.9951228Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:38.9951366Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:38.9951501Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:38.9951637Z                        float* __restrict__ out_ptr4)
2022-11-23T02:04:38.9951727Z {
2022-11-23T02:04:38.9951872Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.9951949Z     {
2022-11-23T02:04:38.9952066Z         #pragma omp for 
2022-11-23T02:04:38.9952188Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:38.9952285Z         {
2022-11-23T02:04:38.9952579Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:38.9952754Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T02:04:38.9952879Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:38.9953010Z             auto tmp3 = tmp2.floor();
2022-11-23T02:04:38.9953115Z             auto tmp4 = tmp2.trunc();
2022-11-23T02:04:38.9953246Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.9953375Z             tmp3.store(out_ptr1 + 8*i0);
2022-11-23T02:04:38.9953504Z             tmp4.store(out_ptr2 + 8*i0);
2022-11-23T02:04:38.9953632Z             tmp2.store(out_ptr3 + 8*i0);
2022-11-23T02:04:38.9953760Z             tmp3.store(out_ptr4 + 8*i0);
2022-11-23T02:04:38.9953855Z         }
2022-11-23T02:04:38.9953975Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.9954096Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:38.9954190Z         {
2022-11-23T02:04:38.9954313Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:38.9954440Z             auto tmp1 = in_ptr1[0];
2022-11-23T02:04:38.9954561Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:38.9954679Z             auto tmp3 = std::floor(tmp2);
2022-11-23T02:04:38.9954814Z             auto tmp4 = std::trunc(tmp2);
2022-11-23T02:04:38.9954995Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.9955120Z             out_ptr1[i0] = tmp3;
2022-11-23T02:04:38.9955239Z             out_ptr2[i0] = tmp4;
2022-11-23T02:04:38.9955356Z             out_ptr3[i0] = tmp2;
2022-11-23T02:04:38.9955471Z             out_ptr4[i0] = tmp3;
2022-11-23T02:04:38.9955546Z         }
2022-11-23T02:04:38.9955641Z     }
2022-11-23T02:04:38.9955732Z }
2022-11-23T02:04:38.9955861Z ''')
2022-11-23T02:04:38.9955882Z 
2022-11-23T02:04:38.9955899Z 
2022-11-23T02:04:38.9956030Z async_compile.wait(globals())
2022-11-23T02:04:38.9956139Z del async_compile
2022-11-23T02:04:38.9956158Z 
2022-11-23T02:04:38.9956267Z def call(args):
2022-11-23T02:04:38.9956380Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.9956474Z     args.clear()
2022-11-23T02:04:38.9956750Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9957019Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9957280Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9957539Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9957790Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9958144Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T02:04:38.9958249Z     del arg0_1
2022-11-23T02:04:38.9958334Z     del arg1_1
2022-11-23T02:04:38.9958474Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T02:04:38.9958494Z 
2022-11-23T02:04:38.9958513Z 
2022-11-23T02:04:38.9958632Z if __name__ == "__main__":
2022-11-23T02:04:38.9958797Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.9958970Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.9959242Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9959501Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9959648Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.9959686Z 
2022-11-23T02:04:38.9959705Z 
2022-11-23T02:04:38.9959822Z from ctypes import c_void_p, c_long
2022-11-23T02:04:38.9959929Z import torch
2022-11-23T02:04:38.9960039Z import random
2022-11-23T02:04:38.9960203Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:38.9960376Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:38.9960396Z 
2022-11-23T02:04:38.9960511Z aten = torch.ops.aten
2022-11-23T02:04:38.9960701Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:38.9960909Z async_compile = AsyncCompile()
2022-11-23T02:04:38.9960946Z 
2022-11-23T02:04:38.9960964Z 
2022-11-23T02:04:38.9961137Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:38.9961423Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:38.9961591Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:38.9961744Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:38.9961887Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:38.9962026Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:38.9962162Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:38.9962278Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:38.9962410Z                        float* __restrict__ out_ptr4)
2022-11-23T02:04:38.9962504Z {
2022-11-23T02:04:38.9962644Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:38.9962742Z     {
2022-11-23T02:04:38.9962858Z         #pragma omp for 
2022-11-23T02:04:38.9962974Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:38.9963049Z         {
2022-11-23T02:04:38.9963229Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T02:04:38.9963466Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:38.9963599Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:38.9963727Z             auto tmp3 = tmp2.floor();
2022-11-23T02:04:38.9963854Z             auto tmp4 = tmp2.trunc();
2022-11-23T02:04:38.9963986Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:38.9964097Z             tmp3.store(out_ptr1 + 8*i0);
2022-11-23T02:04:38.9964231Z             tmp4.store(out_ptr2 + 8*i0);
2022-11-23T02:04:38.9964361Z             tmp2.store(out_ptr3 + 8*i0);
2022-11-23T02:04:38.9964484Z             tmp3.store(out_ptr4 + 8*i0);
2022-11-23T02:04:38.9964580Z         }
2022-11-23T02:04:38.9964713Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:38.9964843Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:38.9964920Z         {
2022-11-23T02:04:38.9965045Z             auto tmp0 = in_ptr0[0];
2022-11-23T02:04:38.9965169Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:38.9965292Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:38.9965434Z             auto tmp3 = std::floor(tmp2);
2022-11-23T02:04:38.9965572Z             auto tmp4 = std::trunc(tmp2);
2022-11-23T02:04:38.9965693Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:38.9965792Z             out_ptr1[i0] = tmp3;
2022-11-23T02:04:38.9965912Z             out_ptr2[i0] = tmp4;
2022-11-23T02:04:38.9966026Z             out_ptr3[i0] = tmp2;
2022-11-23T02:04:38.9966140Z             out_ptr4[i0] = tmp3;
2022-11-23T02:04:38.9966238Z         }
2022-11-23T02:04:38.9966332Z     }
2022-11-23T02:04:38.9966427Z }
2022-11-23T02:04:38.9966535Z ''')
2022-11-23T02:04:38.9966555Z 
2022-11-23T02:04:38.9966573Z 
2022-11-23T02:04:38.9966711Z async_compile.wait(globals())
2022-11-23T02:04:38.9966825Z del async_compile
2022-11-23T02:04:38.9966845Z 
2022-11-23T02:04:38.9966950Z def call(args):
2022-11-23T02:04:38.9967065Z     arg0_1, arg1_1 = args
2022-11-23T02:04:38.9967172Z     args.clear()
2022-11-23T02:04:38.9967452Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9967695Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9967958Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9968213Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9968469Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9968822Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T02:04:38.9968930Z     del arg0_1
2022-11-23T02:04:38.9969132Z     del arg1_1
2022-11-23T02:04:38.9969273Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T02:04:38.9969292Z 
2022-11-23T02:04:38.9969310Z 
2022-11-23T02:04:38.9969423Z if __name__ == "__main__":
2022-11-23T02:04:38.9969575Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:38.9969752Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:38.9970013Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9970280Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:38.9970444Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:38.9970464Z 
2022-11-23T02:04:38.9970958Z [2022-11-23 01:53:30,315] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n5/cn5vqpivniyabevznlqqvyd3ratf6we674jh7nblogm6uysqb73s.py
2022-11-23T02:04:38.9971323Z [2022-11-23 01:53:30,316] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 159
2022-11-23T02:04:38.9971652Z [2022-11-23 01:53:30,323] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:38.9972128Z [2022-11-23 01:53:30,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:38.9972414Z [2022-11-23 01:53:30,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:38.9972755Z [2022-11-23 01:53:30,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:38.9973125Z [2022-11-23 01:53:30,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:38.9973555Z [2022-11-23 01:53:30,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9974017Z [2022-11-23 01:53:30,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9974451Z [2022-11-23 01:53:30,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:38.9974954Z [2022-11-23 01:53:30,326] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641131160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T02:04:38.9975097Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9975233Z                2 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9975348Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9975482Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9975619Z                8 LOAD_CONST               0 (None)
2022-11-23T02:04:38.9975847Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9975985Z               12 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9976006Z 
2022-11-23T02:04:38.9976710Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9976908Z               16 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9977133Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9977284Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9977518Z               22 LOAD_CONST               2 ('floor')
2022-11-23T02:04:38.9977713Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9977846Z               26 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9977865Z 
2022-11-23T02:04:38.9977999Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:38.9978133Z               30 LOAD_ATTR                1 (div)
2022-11-23T02:04:38.9978264Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9978373Z               34 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9978575Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T02:04:38.9978971Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T02:04:38.9979105Z               40 CALL_FUNCTION_KW         3
2022-11-23T02:04:38.9979124Z 
2022-11-23T02:04:38.9979257Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9979386Z               44 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9979507Z               46 BINARY_TRUE_DIVIDE
2022-11-23T02:04:38.9979527Z 
2022-11-23T02:04:38.9979655Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T02:04:38.9979763Z               50 LOAD_FAST                1 (b)
2022-11-23T02:04:38.9979889Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T02:04:38.9979908Z 
2022-11-23T02:04:38.9980037Z 1173          54 BUILD_TUPLE              5
2022-11-23T02:04:38.9980152Z               56 RETURN_VALUE
2022-11-23T02:04:38.9980247Z  
2022-11-23T02:04:38.9980266Z 
2022-11-23T02:04:38.9980699Z [2022-11-23 01:53:30,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T02:04:38.9981056Z [2022-11-23 01:53:30,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:38.9981538Z [2022-11-23 01:53:30,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9981888Z [2022-11-23 01:53:30,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T02:04:38.9982240Z [2022-11-23 01:53:30,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9982657Z [2022-11-23 01:53:30,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9983163Z [2022-11-23 01:53:30,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:38.9983697Z [2022-11-23 01:53:30,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T02:04:38.9984118Z [2022-11-23 01:53:30,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T02:04:38.9984450Z [2022-11-23 01:53:30,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:38.9984888Z [2022-11-23 01:53:30,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9985254Z [2022-11-23 01:53:30,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9985661Z [2022-11-23 01:53:30,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9986124Z [2022-11-23 01:53:30,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9986688Z [2022-11-23 01:53:30,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9987252Z [2022-11-23 01:53:30,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9987657Z [2022-11-23 01:53:30,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T02:04:38.9988024Z [2022-11-23 01:53:30,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9988572Z [2022-11-23 01:53:30,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:38.9988979Z [2022-11-23 01:53:30,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T02:04:38.9989420Z [2022-11-23 01:53:30,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T02:04:38.9989907Z [2022-11-23 01:53:30,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9990467Z [2022-11-23 01:53:30,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:38.9991118Z [2022-11-23 01:53:30,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:38.9991546Z [2022-11-23 01:53:30,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T02:04:38.9991935Z [2022-11-23 01:53:30,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9992364Z [2022-11-23 01:53:30,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9992853Z [2022-11-23 01:53:30,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9993277Z [2022-11-23 01:53:30,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T02:04:38.9993693Z [2022-11-23 01:53:30,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9994153Z [2022-11-23 01:53:30,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9994679Z [2022-11-23 01:53:30,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9995092Z [2022-11-23 01:53:30,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T02:04:38.9995568Z [2022-11-23 01:53:30,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:38.9995899Z [2022-11-23 01:53:30,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9996400Z [2022-11-23 01:53:30,379] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641131160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T02:04:38.9996733Z [2022-11-23 01:53:30,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:38.9997052Z [2022-11-23 01:53:30,380] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:38.9997392Z [2022-11-23 01:53:30,382] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:38.9997800Z [2022-11-23 01:53:30,393] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:38.9998044Z [2022-11-23 01:53:30,394] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:38.9998242Z  __compiled_fn_161 <eval_with_key>.1425 opcode, name, target, args, kwargs
2022-11-23T02:04:38.9998377Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:38.9998507Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:38.9998767Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T02:04:38.9999030Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T02:04:38.9999289Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T02:04:38.9999593Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:38.9999864Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.0000052Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T02:04:39.0000073Z 
2022-11-23T02:04:39.0000621Z [2022-11-23 01:53:30,394] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0000765Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0000897Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0001024Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0001158Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0001282Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0001394Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0001508Z              12 RETURN_VALUE
2022-11-23T02:04:39.0001528Z 
2022-11-23T02:04:39.0001622Z  
2022-11-23T02:04:39.0002061Z [2022-11-23 01:53:30,395] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0002226Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_161)
2022-11-23T02:04:39.0002357Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0002486Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0002585Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0002718Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0002846Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0002958Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.0003088Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.0003235Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0003378Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0003492Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0003606Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.0003751Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0003889Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0004001Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.0004146Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0004283Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:39.0004393Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.0004522Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0004654Z              38 LOAD_CONST               4 (3)
2022-11-23T02:04:39.0004768Z              40 BINARY_SUBSCR
2022-11-23T02:04:39.0004913Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0005042Z              44 LOAD_CONST               5 (4)
2022-11-23T02:04:39.0005157Z              46 BINARY_SUBSCR
2022-11-23T02:04:39.0005286Z              48 BUILD_TUPLE              5
2022-11-23T02:04:39.0005378Z              50 RETURN_VALUE
2022-11-23T02:04:39.0005399Z 
2022-11-23T02:04:39.0005492Z  
2022-11-23T02:04:39.0005842Z [2022-11-23 01:53:30,396] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0005955Z  - 
2022-11-23T02:04:39.0006128Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0006228Z             {
2022-11-23T02:04:39.0006427Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0006673Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.0006842Z                 'obj_weakref': None
2022-11-23T02:04:39.0007155Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0007253Z             }
2022-11-23T02:04:39.0007350Z             
2022-11-23T02:04:39.0007459Z  - 
2022-11-23T02:04:39.0007639Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0007718Z             {
2022-11-23T02:04:39.0007917Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0008072Z                 'code': None,
2022-11-23T02:04:39.0008366Z                 'obj_weakref': <weakref at 0x7fa61a9248b0; to 'Tensor' at 0x7fa53c3aa160>
2022-11-23T02:04:39.0008713Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0008813Z             }
2022-11-23T02:04:39.0008908Z             
2022-11-23T02:04:39.0009061Z  - 
2022-11-23T02:04:39.0009244Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.0009344Z             {
2022-11-23T02:04:39.0009549Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0009698Z                 'code': None,
2022-11-23T02:04:39.0009987Z                 'obj_weakref': <weakref at 0x7fa61a9250d0; to 'Tensor' at 0x7fa559ee9f80>
2022-11-23T02:04:39.0010330Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0010409Z             }
2022-11-23T02:04:39.0010509Z             
2022-11-23T02:04:39.0010618Z  - 
2022-11-23T02:04:39.0010806Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0010906Z             {
2022-11-23T02:04:39.0011096Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0011332Z                 'code': ['___check_obj_id(model, 140347994911456)'],
2022-11-23T02:04:39.0011484Z                 'obj_weakref': None
2022-11-23T02:04:39.0011801Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0011900Z             }
2022-11-23T02:04:39.0011997Z             
2022-11-23T02:04:39.0012104Z  - 
2022-11-23T02:04:39.0012280Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0012376Z             {
2022-11-23T02:04:39.0012549Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0012842Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0013008Z                 'obj_weakref': None
2022-11-23T02:04:39.0013314Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0013418Z             }
2022-11-23T02:04:39.0013514Z             
2022-11-23T02:04:39.0013624Z  - 
2022-11-23T02:04:39.0013790Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.0013886Z             {
2022-11-23T02:04:39.0014061Z                 'guard_types': None,
2022-11-23T02:04:39.0014213Z                 'code': None,
2022-11-23T02:04:39.0014381Z                 'obj_weakref': None
2022-11-23T02:04:39.0014548Z                 'guarded_class': None
2022-11-23T02:04:39.0014645Z             }
2022-11-23T02:04:39.0014721Z             
2022-11-23T02:04:39.0015079Z [2022-11-23 01:53:30,413] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 160
2022-11-23T02:04:39.0015575Z [2022-11-23 01:53:33,056] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4b/c4biqtqg4vdjeruusxt2lh2nede6ke6gjc5m4u6yax2apjubcwhh.py
2022-11-23T02:04:39.0015936Z [2022-11-23 01:53:33,056] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 160
2022-11-23T02:04:39.0016016Z 
2022-11-23T02:04:39.0016782Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0016958Z import torch
2022-11-23T02:04:39.0017127Z import random
2022-11-23T02:04:39.0017377Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0017671Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0017701Z 
2022-11-23T02:04:39.0017892Z aten = torch.ops.aten
2022-11-23T02:04:39.0018178Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0018320Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0018339Z 
2022-11-23T02:04:39.0018357Z 
2022-11-23T02:04:39.0018568Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0018850Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0019016Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.0019167Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:39.0019300Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.0019439Z                        long* __restrict__ out_ptr1,
2022-11-23T02:04:39.0019571Z                        long* __restrict__ out_ptr2,
2022-11-23T02:04:39.0019849Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:39.0019993Z                        long* __restrict__ out_ptr4)
2022-11-23T02:04:39.0020087Z {
2022-11-23T02:04:39.0020229Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0020305Z     {
2022-11-23T02:04:39.0020417Z         #pragma omp for 
2022-11-23T02:04:39.0020538Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:39.0020630Z         {
2022-11-23T02:04:39.0020726Z             {
2022-11-23T02:04:39.0020824Z                 {
2022-11-23T02:04:39.0020940Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.0021072Z                     auto tmp2 = in_ptr1[0];
2022-11-23T02:04:39.0021226Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:39.0021383Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T02:04:39.0021516Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T02:04:39.0021872Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T02:04:39.0022006Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T02:04:39.0022133Z                     out_ptr0[i0] = tmp4;
2022-11-23T02:04:39.0022238Z                     out_ptr1[i0] = tmp5;
2022-11-23T02:04:39.0022360Z                     out_ptr2[i0] = tmp6;
2022-11-23T02:04:39.0022481Z                     out_ptr3[i0] = tmp4;
2022-11-23T02:04:39.0022601Z                     out_ptr4[i0] = tmp5;
2022-11-23T02:04:39.0022701Z                 }
2022-11-23T02:04:39.0022797Z             }
2022-11-23T02:04:39.0022890Z         }
2022-11-23T02:04:39.0022967Z     }
2022-11-23T02:04:39.0023056Z }
2022-11-23T02:04:39.0023174Z ''')
2022-11-23T02:04:39.0023194Z 
2022-11-23T02:04:39.0023216Z 
2022-11-23T02:04:39.0023353Z async_compile.wait(globals())
2022-11-23T02:04:39.0023463Z del async_compile
2022-11-23T02:04:39.0023482Z 
2022-11-23T02:04:39.0023584Z def call(args):
2022-11-23T02:04:39.0023696Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.0023784Z     args.clear()
2022-11-23T02:04:39.0024055Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0024317Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0024579Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0024837Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0025089Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0025443Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T02:04:39.0025667Z     del arg0_1
2022-11-23T02:04:39.0025750Z     del arg1_1
2022-11-23T02:04:39.0025891Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T02:04:39.0025910Z 
2022-11-23T02:04:39.0025929Z 
2022-11-23T02:04:39.0026043Z if __name__ == "__main__":
2022-11-23T02:04:39.0026208Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0026402Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0026695Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0026902Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0027066Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.0027086Z 
2022-11-23T02:04:39.0027105Z 
2022-11-23T02:04:39.0027222Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0027328Z import torch
2022-11-23T02:04:39.0027434Z import random
2022-11-23T02:04:39.0027597Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0027771Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0027791Z 
2022-11-23T02:04:39.0027907Z aten = torch.ops.aten
2022-11-23T02:04:39.0028090Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0028261Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0028303Z 
2022-11-23T02:04:39.0028321Z 
2022-11-23T02:04:39.0028500Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0028778Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0028943Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.0029094Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:39.0029241Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.0029382Z                        long* __restrict__ out_ptr1,
2022-11-23T02:04:39.0029518Z                        long* __restrict__ out_ptr2,
2022-11-23T02:04:39.0029643Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:39.0029778Z                        long* __restrict__ out_ptr4)
2022-11-23T02:04:39.0029871Z {
2022-11-23T02:04:39.0030013Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0030107Z     {
2022-11-23T02:04:39.0030225Z         #pragma omp for 
2022-11-23T02:04:39.0030348Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:39.0030424Z         {
2022-11-23T02:04:39.0030523Z             {
2022-11-23T02:04:39.0030620Z                 {
2022-11-23T02:04:39.0030750Z                     auto tmp0 = in_ptr0[0];
2022-11-23T02:04:39.0030884Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T02:04:39.0031038Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:39.0031189Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T02:04:39.0031300Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T02:04:39.0031645Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T02:04:39.0031782Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T02:04:39.0031905Z                     out_ptr0[i0] = tmp4;
2022-11-23T02:04:39.0032029Z                     out_ptr1[i0] = tmp5;
2022-11-23T02:04:39.0032153Z                     out_ptr2[i0] = tmp6;
2022-11-23T02:04:39.0032277Z                     out_ptr3[i0] = tmp4;
2022-11-23T02:04:39.0032379Z                     out_ptr4[i0] = tmp5;
2022-11-23T02:04:39.0032480Z                 }
2022-11-23T02:04:39.0032578Z             }
2022-11-23T02:04:39.0032672Z         }
2022-11-23T02:04:39.0032766Z     }
2022-11-23T02:04:39.0032858Z }
2022-11-23T02:04:39.0032977Z ''')
2022-11-23T02:04:39.0032996Z 
2022-11-23T02:04:39.0033014Z 
2022-11-23T02:04:39.0033130Z async_compile.wait(globals())
2022-11-23T02:04:39.0033239Z del async_compile
2022-11-23T02:04:39.0033258Z 
2022-11-23T02:04:39.0033366Z def call(args):
2022-11-23T02:04:39.0033479Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.0033659Z     args.clear()
2022-11-23T02:04:39.0033938Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0034198Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0034461Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0034707Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0034961Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0035314Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T02:04:39.0035425Z     del arg0_1
2022-11-23T02:04:39.0035531Z     del arg1_1
2022-11-23T02:04:39.0035672Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T02:04:39.0035693Z 
2022-11-23T02:04:39.0035712Z 
2022-11-23T02:04:39.0035827Z if __name__ == "__main__":
2022-11-23T02:04:39.0035994Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0036147Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0036401Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0036719Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0036895Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.0036916Z 
2022-11-23T02:04:39.0037018Z ok (10.953s)
2022-11-23T02:04:39.0037440Z   test_dropout_cpu (__main__.CpuTests) ... [2022-11-23 01:53:33,063] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn1
2022-11-23T02:04:39.0037869Z [2022-11-23 01:53:33,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3825
2022-11-23T02:04:39.0038171Z [2022-11-23 01:53:33,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.0038665Z [2022-11-23 01:53:33,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0039160Z [2022-11-23 01:53:33,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T02:04:39.0039707Z [2022-11-23 01:53:33,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.0040104Z [2022-11-23 01:53:33,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7fa55b6d6680>)]
2022-11-23T02:04:39.0040538Z [2022-11-23 01:53:33,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable()]
2022-11-23T02:04:39.0040880Z [2022-11-23 01:53:33,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.0041199Z [2022-11-23 01:53:33,069] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn1
2022-11-23T02:04:39.0051206Z [2022-11-23 01:53:33,071] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.0051678Z [2022-11-23 01:53:33,076] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.0051957Z [2022-11-23 01:53:33,077] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0052155Z  __compiled_fn_162 <eval_with_key>.1431 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0052293Z placeholder, a, a, (), {}
2022-11-23T02:04:39.0052487Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7fa552906dd0>, (a,), {}
2022-11-23T02:04:39.0052656Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T02:04:39.0052834Z 
2022-11-23T02:04:39.0053300Z [2022-11-23 01:53:33,078] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn1 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3823 
2022-11-23T02:04:39.0053452Z 3825           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0053594Z                2 LOAD_ATTR                1 (nn)
2022-11-23T02:04:39.0053751Z                4 LOAD_ATTR                2 (functional)
2022-11-23T02:04:39.0053906Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T02:04:39.0054042Z                8 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0054153Z               10 CALL_METHOD              1
2022-11-23T02:04:39.0054270Z               12 RETURN_VALUE
2022-11-23T02:04:39.0054290Z 
2022-11-23T02:04:39.0054392Z  
2022-11-23T02:04:39.0054837Z [2022-11-23 01:53:33,078] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn1 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3823 
2022-11-23T02:04:39.0055001Z 3823           0 LOAD_GLOBAL              4 (__compiled_fn_162)
2022-11-23T02:04:39.0055144Z                2 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0055280Z                4 CALL_FUNCTION            1
2022-11-23T02:04:39.0055396Z                6 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.0055575Z                8 RETURN_VALUE
2022-11-23T02:04:39.0055597Z 
2022-11-23T02:04:39.0055699Z  
2022-11-23T02:04:39.0055967Z [2022-11-23 01:53:33,078] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0056596Z  - 
2022-11-23T02:04:39.0056908Z             local 'a' TENSOR_MATCH
2022-11-23T02:04:39.0057071Z             {
2022-11-23T02:04:39.0057322Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0057485Z                 'code': None,
2022-11-23T02:04:39.0057782Z                 'obj_weakref': <weakref at 0x7fa5321f1300; to 'Tensor' at 0x7fa53218e700>
2022-11-23T02:04:39.0058129Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0058241Z             }
2022-11-23T02:04:39.0058343Z             
2022-11-23T02:04:39.0058453Z  - 
2022-11-23T02:04:39.0058625Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.0058727Z             {
2022-11-23T02:04:39.0058904Z                 'guard_types': None,
2022-11-23T02:04:39.0059067Z                 'code': None,
2022-11-23T02:04:39.0059240Z                 'obj_weakref': None
2022-11-23T02:04:39.0059419Z                 'guarded_class': None
2022-11-23T02:04:39.0059522Z             }
2022-11-23T02:04:39.0059604Z             
2022-11-23T02:04:39.0059961Z [2022-11-23 01:53:33,099] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 161
2022-11-23T02:04:39.0060310Z [2022-11-23 01:53:33,100] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T02:04:39.0060809Z [2022-11-23 01:53:35,728] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2m/c2m7nfrxlzfdfj54p5wtupl2cl27om4p47hcq23t5c3qgaf5wgh7.py
2022-11-23T02:04:39.0061181Z [2022-11-23 01:53:35,729] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 161
2022-11-23T02:04:39.0061505Z [2022-11-23 01:53:35,732] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn2
2022-11-23T02:04:39.0061937Z [2022-11-23 01:53:35,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3837
2022-11-23T02:04:39.0062243Z [2022-11-23 01:53:35,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.0062730Z [2022-11-23 01:53:35,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0063245Z [2022-11-23 01:53:35,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T02:04:39.0063940Z [2022-11-23 01:53:35,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.0064340Z [2022-11-23 01:53:35,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7fa55b6d6680>)]
2022-11-23T02:04:39.0064776Z [2022-11-23 01:53:35,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.5 [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable()]
2022-11-23T02:04:39.0065277Z [2022-11-23 01:53:35,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.0065818Z [2022-11-23 01:53:35,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T02:04:39.0066161Z [2022-11-23 01:53:35,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.0066485Z [2022-11-23 01:53:35,738] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn2
2022-11-23T02:04:39.0066884Z [2022-11-23 01:53:35,739] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.0067228Z [2022-11-23 01:53:35,745] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.0067496Z [2022-11-23 01:53:35,745] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0067689Z  __compiled_fn_163 <eval_with_key>.1437 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0067794Z placeholder, a, a, (), {}
2022-11-23T02:04:39.0068016Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7fa552906dd0>, (a, 0.5, True), {}
2022-11-23T02:04:39.0068187Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T02:04:39.0068213Z 
2022-11-23T02:04:39.0068661Z [2022-11-23 01:53:35,746] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn2 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3835 
2022-11-23T02:04:39.0068820Z 3837           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0068964Z                2 LOAD_ATTR                1 (nn)
2022-11-23T02:04:39.0069115Z                4 LOAD_ATTR                2 (functional)
2022-11-23T02:04:39.0069261Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T02:04:39.0069376Z                8 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0069513Z               10 LOAD_CONST               1 (0.5)
2022-11-23T02:04:39.0069658Z               12 LOAD_CONST               2 (True)
2022-11-23T02:04:39.0069794Z               14 CALL_METHOD              3
2022-11-23T02:04:39.0069911Z               16 RETURN_VALUE
2022-11-23T02:04:39.0069931Z 
2022-11-23T02:04:39.0070027Z  
2022-11-23T02:04:39.0070475Z [2022-11-23 01:53:35,746] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn2 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3835 
2022-11-23T02:04:39.0070618Z 3835           0 LOAD_GLOBAL              4 (__compiled_fn_163)
2022-11-23T02:04:39.0070756Z                2 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0070893Z                4 CALL_FUNCTION            1
2022-11-23T02:04:39.0071036Z                6 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.0071156Z                8 RETURN_VALUE
2022-11-23T02:04:39.0071175Z 
2022-11-23T02:04:39.0071271Z  
2022-11-23T02:04:39.0071529Z [2022-11-23 01:53:35,746] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0071643Z  - 
2022-11-23T02:04:39.0071792Z             local 'a' TENSOR_MATCH
2022-11-23T02:04:39.0071895Z             {
2022-11-23T02:04:39.0072102Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0072262Z                 'code': None,
2022-11-23T02:04:39.0072557Z                 'obj_weakref': <weakref at 0x7fa5321f1300; to 'Tensor' at 0x7fa53218e700>
2022-11-23T02:04:39.0072983Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0073087Z             }
2022-11-23T02:04:39.0073165Z             
2022-11-23T02:04:39.0073284Z  - 
2022-11-23T02:04:39.0073480Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.0073582Z             {
2022-11-23T02:04:39.0073758Z                 'guard_types': None,
2022-11-23T02:04:39.0073920Z                 'code': None,
2022-11-23T02:04:39.0074094Z                 'obj_weakref': None
2022-11-23T02:04:39.0074249Z                 'guarded_class': None
2022-11-23T02:04:39.0074354Z             }
2022-11-23T02:04:39.0074458Z             
2022-11-23T02:04:39.0074815Z [2022-11-23 01:53:35,763] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 162
2022-11-23T02:04:39.0075164Z [2022-11-23 01:53:35,764] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T02:04:39.0075660Z [2022-11-23 01:53:35,779] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2m/c2m7nfrxlzfdfj54p5wtupl2cl27om4p47hcq23t5c3qgaf5wgh7.py
2022-11-23T02:04:39.0076073Z [2022-11-23 01:53:35,779] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 162
2022-11-23T02:04:39.0076094Z 
2022-11-23T02:04:39.0076243Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0076330Z import torch
2022-11-23T02:04:39.0076441Z import random
2022-11-23T02:04:39.0076619Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0076796Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0076816Z 
2022-11-23T02:04:39.0076936Z aten = torch.ops.aten
2022-11-23T02:04:39.0077135Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0077275Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0077477Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T02:04:39.0077500Z 
2022-11-23T02:04:39.0077543Z 
2022-11-23T02:04:39.0077722Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0078013Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0078190Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T02:04:39.0078347Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.0078493Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.0078590Z {
2022-11-23T02:04:39.0078737Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0078880Z     {
2022-11-23T02:04:39.0079063Z         #pragma omp for 
2022-11-23T02:04:39.0079191Z         for(long i0=0; i0<1000; i0+=1)
2022-11-23T02:04:39.0079291Z         {
2022-11-23T02:04:39.0079396Z             {
2022-11-23T02:04:39.0079501Z                 {
2022-11-23T02:04:39.0079634Z                     auto tmp0 = seed0[0];
2022-11-23T02:04:39.0079750Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T02:04:39.0079911Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T02:04:39.0080108Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T02:04:39.0080268Z                     auto tmp3 = static_cast<float>(0.5);
2022-11-23T02:04:39.0080413Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T02:04:39.0080572Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T02:04:39.0080713Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T02:04:39.0080845Z                     auto tmp8 = static_cast<float>(2.0);
2022-11-23T02:04:39.0080980Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T02:04:39.0081104Z                     out_ptr0[i0] = tmp9;
2022-11-23T02:04:39.0081215Z                 }
2022-11-23T02:04:39.0081314Z             }
2022-11-23T02:04:39.0081417Z         }
2022-11-23T02:04:39.0081519Z     }
2022-11-23T02:04:39.0081616Z }
2022-11-23T02:04:39.0081722Z ''')
2022-11-23T02:04:39.0081829Z 
2022-11-23T02:04:39.0081849Z 
2022-11-23T02:04:39.0081969Z async_compile.wait(globals())
2022-11-23T02:04:39.0082083Z del async_compile
2022-11-23T02:04:39.0082102Z 
2022-11-23T02:04:39.0082215Z def call(args):
2022-11-23T02:04:39.0082323Z     arg0_1, = args
2022-11-23T02:04:39.0082443Z     args.clear()
2022-11-23T02:04:39.0082634Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T02:04:39.0082927Z     buf0 = empty_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0083150Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.0083266Z     del arg0_1
2022-11-23T02:04:39.0083381Z     return (buf0, )
2022-11-23T02:04:39.0083400Z 
2022-11-23T02:04:39.0083418Z 
2022-11-23T02:04:39.0083538Z if __name__ == "__main__":
2022-11-23T02:04:39.0083709Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0083886Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0084161Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0084437Z     arg0_1 = rand_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0084631Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.0084653Z 
2022-11-23T02:04:39.0084696Z 
2022-11-23T02:04:39.0084819Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0084930Z import torch
2022-11-23T02:04:39.0085040Z import random
2022-11-23T02:04:39.0085207Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0085382Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0085400Z 
2022-11-23T02:04:39.0085520Z aten = torch.ops.aten
2022-11-23T02:04:39.0085712Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0085828Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0086055Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T02:04:39.0086078Z 
2022-11-23T02:04:39.0086097Z 
2022-11-23T02:04:39.0086301Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0086585Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0086818Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T02:04:39.0086986Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.0087135Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.0087233Z {
2022-11-23T02:04:39.0087357Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0087460Z     {
2022-11-23T02:04:39.0087580Z         #pragma omp for 
2022-11-23T02:04:39.0087707Z         for(long i0=0; i0<1000; i0+=1)
2022-11-23T02:04:39.0087808Z         {
2022-11-23T02:04:39.0087912Z             {
2022-11-23T02:04:39.0087990Z                 {
2022-11-23T02:04:39.0088122Z                     auto tmp0 = seed0[0];
2022-11-23T02:04:39.0088264Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T02:04:39.0088417Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T02:04:39.0088614Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T02:04:39.0088771Z                     auto tmp3 = static_cast<float>(0.5);
2022-11-23T02:04:39.0088911Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T02:04:39.0089073Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T02:04:39.0089187Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T02:04:39.0089342Z                     auto tmp8 = static_cast<float>(2.0);
2022-11-23T02:04:39.0089484Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T02:04:39.0089612Z                     out_ptr0[i0] = tmp9;
2022-11-23T02:04:39.0089716Z                 }
2022-11-23T02:04:39.0089817Z             }
2022-11-23T02:04:39.0089915Z         }
2022-11-23T02:04:39.0089991Z     }
2022-11-23T02:04:39.0090087Z }
2022-11-23T02:04:39.0090217Z ''')
2022-11-23T02:04:39.0090299Z 
2022-11-23T02:04:39.0090317Z 
2022-11-23T02:04:39.0090458Z async_compile.wait(globals())
2022-11-23T02:04:39.0090570Z del async_compile
2022-11-23T02:04:39.0090589Z 
2022-11-23T02:04:39.0090702Z def call(args):
2022-11-23T02:04:39.0090814Z     arg0_1, = args
2022-11-23T02:04:39.0090911Z     args.clear()
2022-11-23T02:04:39.0091103Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T02:04:39.0091390Z     buf0 = empty_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0091633Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.0091744Z     del arg0_1
2022-11-23T02:04:39.0091859Z     return (buf0, )
2022-11-23T02:04:39.0091878Z 
2022-11-23T02:04:39.0091898Z 
2022-11-23T02:04:39.0092017Z if __name__ == "__main__":
2022-11-23T02:04:39.0092184Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0092342Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0092626Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0092901Z     arg0_1 = rand_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0093061Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.0093133Z 
2022-11-23T02:04:39.0093244Z ok (2.721s)
2022-11-23T02:04:39.0093701Z   test_dropout_deterministic_cpu (__main__.CpuTests) ... [2022-11-23 01:53:35,785] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:39.0094138Z [2022-11-23 01:53:35,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3846
2022-11-23T02:04:39.0094446Z [2022-11-23 01:53:35,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.0094910Z [2022-11-23 01:53:35,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0095431Z [2022-11-23 01:53:35,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T02:04:39.0095988Z [2022-11-23 01:53:35,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.0097128Z [2022-11-23 01:53:35,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7fa55b6d6680>)]
2022-11-23T02:04:39.0097575Z [2022-11-23 01:53:35,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.55 [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable()]
2022-11-23T02:04:39.0098062Z [2022-11-23 01:53:35,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.0098607Z [2022-11-23 01:53:35,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T02:04:39.0098950Z [2022-11-23 01:53:35,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.0099273Z [2022-11-23 01:53:35,790] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:39.0099609Z [2022-11-23 01:53:35,792] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.0099933Z [2022-11-23 01:53:35,797] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.0100176Z [2022-11-23 01:53:35,797] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0100372Z  __compiled_fn_164 <eval_with_key>.1443 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0100716Z placeholder, a, a, (), {}
2022-11-23T02:04:39.0100941Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7fa552906dd0>, (a, 0.55, True), {}
2022-11-23T02:04:39.0101110Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T02:04:39.0101131Z 
2022-11-23T02:04:39.0101581Z [2022-11-23 01:53:35,798] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 
2022-11-23T02:04:39.0101727Z 3846           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0101864Z                2 LOAD_ATTR                1 (nn)
2022-11-23T02:04:39.0102012Z                4 LOAD_ATTR                2 (functional)
2022-11-23T02:04:39.0102135Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T02:04:39.0102272Z                8 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0102411Z               10 LOAD_CONST               1 (0.55)
2022-11-23T02:04:39.0102547Z               12 LOAD_CONST               2 (True)
2022-11-23T02:04:39.0102685Z               14 CALL_METHOD              3
2022-11-23T02:04:39.0102803Z               16 RETURN_VALUE
2022-11-23T02:04:39.0102823Z 
2022-11-23T02:04:39.0102919Z  
2022-11-23T02:04:39.0103416Z [2022-11-23 01:53:35,798] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 
2022-11-23T02:04:39.0103588Z 3844           0 LOAD_GLOBAL              4 (__compiled_fn_164)
2022-11-23T02:04:39.0103725Z                2 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0103861Z                4 CALL_FUNCTION            1
2022-11-23T02:04:39.0104002Z                6 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.0104126Z                8 RETURN_VALUE
2022-11-23T02:04:39.0104145Z 
2022-11-23T02:04:39.0104243Z  
2022-11-23T02:04:39.0104502Z [2022-11-23 01:53:35,799] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0104593Z  - 
2022-11-23T02:04:39.0104770Z             local 'a' TENSOR_MATCH
2022-11-23T02:04:39.0104877Z             {
2022-11-23T02:04:39.0105082Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0105242Z                 'code': None,
2022-11-23T02:04:39.0105537Z                 'obj_weakref': <weakref at 0x7fa53222ff10; to 'Tensor' at 0x7fa532240fe0>
2022-11-23T02:04:39.0105888Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0105969Z             }
2022-11-23T02:04:39.0106072Z             
2022-11-23T02:04:39.0106186Z  - 
2022-11-23T02:04:39.0106375Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.0106478Z             {
2022-11-23T02:04:39.0106651Z                 'guard_types': None,
2022-11-23T02:04:39.0106814Z                 'code': None,
2022-11-23T02:04:39.0106964Z                 'obj_weakref': None
2022-11-23T02:04:39.0107139Z                 'guarded_class': None
2022-11-23T02:04:39.0107235Z             }
2022-11-23T02:04:39.0107339Z             
2022-11-23T02:04:39.0107701Z [2022-11-23 01:53:35,816] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 163
2022-11-23T02:04:39.0108050Z [2022-11-23 01:53:35,816] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T02:04:39.0108545Z [2022-11-23 01:53:38,426] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2m/c2mu7qucls6476ahmwv2hmezgkgrgtefx7s3nehjywjshjlftiry.py
2022-11-23T02:04:39.0108885Z [2022-11-23 01:53:38,426] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 163
2022-11-23T02:04:39.0109209Z [2022-11-23 01:53:38,430] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:39.0109637Z [2022-11-23 01:53:38,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3846
2022-11-23T02:04:39.0109943Z [2022-11-23 01:53:38,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.0110493Z [2022-11-23 01:53:38,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0111014Z [2022-11-23 01:53:38,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T02:04:39.0111571Z [2022-11-23 01:53:38,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.0111969Z [2022-11-23 01:53:38,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7fa55b6d6680>)]
2022-11-23T02:04:39.0112400Z [2022-11-23 01:53:38,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.55 [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable()]
2022-11-23T02:04:39.0112890Z [2022-11-23 01:53:38,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.0113483Z [2022-11-23 01:53:38,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T02:04:39.0113825Z [2022-11-23 01:53:38,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.0114125Z [2022-11-23 01:53:38,436] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:39.0114463Z [2022-11-23 01:53:38,437] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.0114790Z [2022-11-23 01:53:38,442] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.0115062Z [2022-11-23 01:53:38,443] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0115257Z  __compiled_fn_165 <eval_with_key>.1449 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0115386Z placeholder, a, a, (), {}
2022-11-23T02:04:39.0115610Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7fa552906dd0>, (a, 0.55, True), {}
2022-11-23T02:04:39.0115776Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T02:04:39.0115796Z 
2022-11-23T02:04:39.0116238Z [2022-11-23 01:53:38,443] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 
2022-11-23T02:04:39.0116361Z 3846           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0116502Z                2 LOAD_ATTR                1 (nn)
2022-11-23T02:04:39.0116650Z                4 LOAD_ATTR                2 (functional)
2022-11-23T02:04:39.0116796Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T02:04:39.0116943Z                8 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0117080Z               10 LOAD_CONST               1 (0.55)
2022-11-23T02:04:39.0117216Z               12 LOAD_CONST               2 (True)
2022-11-23T02:04:39.0117326Z               14 CALL_METHOD              3
2022-11-23T02:04:39.0117451Z               16 RETURN_VALUE
2022-11-23T02:04:39.0117471Z 
2022-11-23T02:04:39.0117571Z  
2022-11-23T02:04:39.0118016Z [2022-11-23 01:53:38,443] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 
2022-11-23T02:04:39.0118188Z 3844           0 LOAD_GLOBAL              4 (__compiled_fn_165)
2022-11-23T02:04:39.0118332Z                2 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0118472Z                4 CALL_FUNCTION            1
2022-11-23T02:04:39.0118609Z                6 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.0118703Z                8 RETURN_VALUE
2022-11-23T02:04:39.0118722Z 
2022-11-23T02:04:39.0118897Z  
2022-11-23T02:04:39.0119162Z [2022-11-23 01:53:38,444] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0119277Z  - 
2022-11-23T02:04:39.0119451Z             local 'a' TENSOR_MATCH
2022-11-23T02:04:39.0119560Z             {
2022-11-23T02:04:39.0119770Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0119906Z                 'code': None,
2022-11-23T02:04:39.0120200Z                 'obj_weakref': <weakref at 0x7fa5504e8900; to 'Tensor' at 0x7fa5505204f0>
2022-11-23T02:04:39.0120557Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0120664Z             }
2022-11-23T02:04:39.0120764Z             
2022-11-23T02:04:39.0120872Z  - 
2022-11-23T02:04:39.0121064Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.0121142Z             {
2022-11-23T02:04:39.0121323Z                 'guard_types': None,
2022-11-23T02:04:39.0121482Z                 'code': None,
2022-11-23T02:04:39.0121662Z                 'obj_weakref': None
2022-11-23T02:04:39.0121838Z                 'guarded_class': None
2022-11-23T02:04:39.0121935Z             }
2022-11-23T02:04:39.0122039Z             
2022-11-23T02:04:39.0122428Z [2022-11-23 01:53:38,461] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 164
2022-11-23T02:04:39.0122784Z [2022-11-23 01:53:38,462] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T02:04:39.0123270Z [2022-11-23 01:53:38,476] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2m/c2mu7qucls6476ahmwv2hmezgkgrgtefx7s3nehjywjshjlftiry.py
2022-11-23T02:04:39.0123633Z [2022-11-23 01:53:38,476] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 164
2022-11-23T02:04:39.0123654Z 
2022-11-23T02:04:39.0123797Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0123909Z import torch
2022-11-23T02:04:39.0124021Z import random
2022-11-23T02:04:39.0124192Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0124350Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0124370Z 
2022-11-23T02:04:39.0124492Z aten = torch.ops.aten
2022-11-23T02:04:39.0124685Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0124828Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0125057Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T02:04:39.0125079Z 
2022-11-23T02:04:39.0125097Z 
2022-11-23T02:04:39.0125296Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0125581Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0125749Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T02:04:39.0125881Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.0126032Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.0126130Z {
2022-11-23T02:04:39.0126281Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0126380Z     {
2022-11-23T02:04:39.0126506Z         #pragma omp for 
2022-11-23T02:04:39.0126637Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T02:04:39.0126713Z         {
2022-11-23T02:04:39.0126815Z             {
2022-11-23T02:04:39.0126924Z                 {
2022-11-23T02:04:39.0127066Z                     auto tmp0 = seed0[0];
2022-11-23T02:04:39.0127205Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T02:04:39.0127354Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T02:04:39.0127551Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T02:04:39.0127683Z                     auto tmp3 = static_cast<float>(0.55);
2022-11-23T02:04:39.0127825Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T02:04:39.0127979Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T02:04:39.0128116Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T02:04:39.0128359Z                     auto tmp8 = static_cast<float>(2.2222222222222223);
2022-11-23T02:04:39.0128496Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T02:04:39.0128626Z                     out_ptr0[i0] = tmp9;
2022-11-23T02:04:39.0128705Z                 }
2022-11-23T02:04:39.0128818Z             }
2022-11-23T02:04:39.0128918Z         }
2022-11-23T02:04:39.0129015Z     }
2022-11-23T02:04:39.0129112Z }
2022-11-23T02:04:39.0129248Z ''')
2022-11-23T02:04:39.0129271Z 
2022-11-23T02:04:39.0129291Z 
2022-11-23T02:04:39.0129431Z async_compile.wait(globals())
2022-11-23T02:04:39.0129521Z del async_compile
2022-11-23T02:04:39.0129540Z 
2022-11-23T02:04:39.0129652Z def call(args):
2022-11-23T02:04:39.0129761Z     arg0_1, = args
2022-11-23T02:04:39.0129873Z     args.clear()
2022-11-23T02:04:39.0130060Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T02:04:39.0130345Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0130598Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.0130706Z     del arg0_1
2022-11-23T02:04:39.0130797Z     return (buf0, )
2022-11-23T02:04:39.0130816Z 
2022-11-23T02:04:39.0130834Z 
2022-11-23T02:04:39.0131011Z if __name__ == "__main__":
2022-11-23T02:04:39.0131184Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0131367Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0131642Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0131914Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0132075Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.0132094Z 
2022-11-23T02:04:39.0132114Z 
2022-11-23T02:04:39.0132257Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0132346Z import torch
2022-11-23T02:04:39.0132461Z import random
2022-11-23T02:04:39.0132628Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0132808Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0132828Z 
2022-11-23T02:04:39.0132949Z aten = torch.ops.aten
2022-11-23T02:04:39.0133142Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0133290Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0133495Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T02:04:39.0133535Z 
2022-11-23T02:04:39.0133553Z 
2022-11-23T02:04:39.0133730Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0134015Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0134189Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T02:04:39.0134349Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.0134496Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.0134595Z {
2022-11-23T02:04:39.0134747Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0134823Z     {
2022-11-23T02:04:39.0134942Z         #pragma omp for 
2022-11-23T02:04:39.0135067Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T02:04:39.0135168Z         {
2022-11-23T02:04:39.0135265Z             {
2022-11-23T02:04:39.0135375Z                 {
2022-11-23T02:04:39.0135508Z                     auto tmp0 = seed0[0];
2022-11-23T02:04:39.0135624Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T02:04:39.0135772Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T02:04:39.0135971Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T02:04:39.0136740Z                     auto tmp3 = static_cast<float>(0.55);
2022-11-23T02:04:39.0136985Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T02:04:39.0137240Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T02:04:39.0137458Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T02:04:39.0137927Z                     auto tmp8 = static_cast<float>(2.2222222222222223);
2022-11-23T02:04:39.0138154Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T02:04:39.0138306Z                     out_ptr0[i0] = tmp9;
2022-11-23T02:04:39.0138408Z                 }
2022-11-23T02:04:39.0138517Z             }
2022-11-23T02:04:39.0138618Z         }
2022-11-23T02:04:39.0138716Z     }
2022-11-23T02:04:39.0138789Z }
2022-11-23T02:04:39.0138952Z ''')
2022-11-23T02:04:39.0138975Z 
2022-11-23T02:04:39.0138993Z 
2022-11-23T02:04:39.0139132Z async_compile.wait(globals())
2022-11-23T02:04:39.0139243Z del async_compile
2022-11-23T02:04:39.0139262Z 
2022-11-23T02:04:39.0139376Z def call(args):
2022-11-23T02:04:39.0139484Z     arg0_1, = args
2022-11-23T02:04:39.0139599Z     args.clear()
2022-11-23T02:04:39.0139765Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T02:04:39.0140041Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0140298Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.0140407Z     del arg0_1
2022-11-23T02:04:39.0140520Z     return (buf0, )
2022-11-23T02:04:39.0140539Z 
2022-11-23T02:04:39.0140557Z 
2022-11-23T02:04:39.0140766Z if __name__ == "__main__":
2022-11-23T02:04:39.0140946Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0141126Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0141378Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0141655Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0141812Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.0141832Z 
2022-11-23T02:04:39.0141937Z ok (2.698s)
2022-11-23T02:04:39.0142382Z   test_dtype_mismatch_issue_cpu (__main__.CpuTests) ... [2022-11-23 01:53:38,485] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:39.0142814Z [2022-11-23 01:53:38,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4613
2022-11-23T02:04:39.0143118Z [2022-11-23 01:53:38,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.0143612Z [2022-11-23 01:53:38,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0144128Z [2022-11-23 01:53:38,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T02:04:39.0144661Z [2022-11-23 01:53:38,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pad [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.0145012Z [2022-11-23 01:53:38,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in function pad>)]
2022-11-23T02:04:39.0145430Z [2022-11-23 01:53:38,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in function pad>), TensorVariable()]
2022-11-23T02:04:39.0145892Z [2022-11-23 01:53:38,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in function pad>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0146397Z [2022-11-23 01:53:38,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<built-in function pad>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.0146851Z [2022-11-23 01:53:38,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in function pad>), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.0147186Z [2022-11-23 01:53:38,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST attn [TensorVariable()]
2022-11-23T02:04:39.0147671Z [2022-11-23 01:53:38,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4614
2022-11-23T02:04:39.0147968Z [2022-11-23 01:53:38,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST attn []
2022-11-23T02:04:39.0148308Z [2022-11-23 01:53:38,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable()]
2022-11-23T02:04:39.0148692Z [2022-11-23 01:53:38,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), softmax)]
2022-11-23T02:04:39.0149134Z [2022-11-23 01:53:38,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [GetAttrVariable(TensorVariable(), softmax), ConstantVariable(int)]
2022-11-23T02:04:39.0149604Z [2022-11-23 01:53:38,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 1 [GetAttrVariable(TensorVariable(), softmax), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T02:04:39.0149952Z [2022-11-23 01:53:38,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.0150270Z [2022-11-23 01:53:38,496] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:39.0150659Z [2022-11-23 01:53:38,497] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.0150992Z [2022-11-23 01:53:38,505] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.0151257Z [2022-11-23 01:53:38,506] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0151450Z  __compiled_fn_166 <eval_with_key>.1455 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0151581Z placeholder, x, x, (), {}
2022-11-23T02:04:39.0151829Z call_function, pad, <built-in function pad>, (x, [0, 1]), {}
2022-11-23T02:04:39.0152031Z call_method, softmax, softmax, (pad,), {'dim': -1}
2022-11-23T02:04:39.0152183Z output, output, output, ((softmax,),), {}
2022-11-23T02:04:39.0152206Z 
2022-11-23T02:04:39.0152647Z [2022-11-23 01:53:38,506] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4612 
2022-11-23T02:04:39.0152790Z 4613           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0152932Z                2 LOAD_ATTR                1 (nn)
2022-11-23T02:04:39.0153084Z                4 LOAD_ATTR                2 (functional)
2022-11-23T02:04:39.0153224Z                6 LOAD_METHOD              3 (pad)
2022-11-23T02:04:39.0153359Z                8 LOAD_FAST                0 (x)
2022-11-23T02:04:39.0153478Z               10 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0153613Z               12 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0153751Z               14 BUILD_LIST               2
2022-11-23T02:04:39.0153888Z               16 CALL_METHOD              2
2022-11-23T02:04:39.0154026Z               18 STORE_FAST               1 (attn)
2022-11-23T02:04:39.0154047Z 
2022-11-23T02:04:39.0154183Z 4614          20 LOAD_FAST                1 (attn)
2022-11-23T02:04:39.0154328Z               22 LOAD_ATTR                4 (softmax)
2022-11-23T02:04:39.0154505Z               24 LOAD_CONST               3 (-1)
2022-11-23T02:04:39.0154715Z               26 LOAD_CONST               4 (('dim',))
2022-11-23T02:04:39.0154861Z               28 CALL_FUNCTION_KW         1
2022-11-23T02:04:39.0154985Z               30 RETURN_VALUE
2022-11-23T02:04:39.0155006Z 
2022-11-23T02:04:39.0155099Z  
2022-11-23T02:04:39.0155539Z [2022-11-23 01:53:38,506] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4612 
2022-11-23T02:04:39.0155704Z 4612           0 LOAD_GLOBAL              5 (__compiled_fn_166)
2022-11-23T02:04:39.0155839Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:39.0155953Z                4 CALL_FUNCTION            1
2022-11-23T02:04:39.0156092Z                6 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.0156346Z                8 RETURN_VALUE
2022-11-23T02:04:39.0156366Z 
2022-11-23T02:04:39.0156464Z  
2022-11-23T02:04:39.0156727Z [2022-11-23 01:53:38,507] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0156840Z  - 
2022-11-23T02:04:39.0157011Z             local 'x' TENSOR_MATCH
2022-11-23T02:04:39.0157095Z             {
2022-11-23T02:04:39.0157307Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0157462Z                 'code': None,
2022-11-23T02:04:39.0157813Z                 'obj_weakref': <weakref at 0x7fa550344c70; to 'Tensor' at 0x7fa53c354220>
2022-11-23T02:04:39.0158163Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0158266Z             }
2022-11-23T02:04:39.0158363Z             
2022-11-23T02:04:39.0158450Z  - 
2022-11-23T02:04:39.0158646Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.0158750Z             {
2022-11-23T02:04:39.0158921Z                 'guard_types': None,
2022-11-23T02:04:39.0159084Z                 'code': None,
2022-11-23T02:04:39.0159263Z                 'obj_weakref': None
2022-11-23T02:04:39.0159437Z                 'guarded_class': None
2022-11-23T02:04:39.0159512Z             }
2022-11-23T02:04:39.0159616Z             
2022-11-23T02:04:39.0160033Z [2022-11-23 01:53:38,522] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 165
2022-11-23T02:04:39.0160546Z [2022-11-23 01:53:41,230] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qw/cqwetiseownflyjijdzoufkinkihu3uwpdaw67s64xbwnbpzc5cb.py
2022-11-23T02:04:39.0160910Z [2022-11-23 01:53:41,230] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 165
2022-11-23T02:04:39.0160930Z 
2022-11-23T02:04:39.0161077Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0161189Z import torch
2022-11-23T02:04:39.0161299Z import random
2022-11-23T02:04:39.0161444Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0161628Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0161647Z 
2022-11-23T02:04:39.0161768Z aten = torch.ops.aten
2022-11-23T02:04:39.0161965Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0162111Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0162132Z 
2022-11-23T02:04:39.0162150Z 
2022-11-23T02:04:39.0162346Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0162625Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0162795Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.0162925Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.0163077Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.0163220Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.0163323Z {
2022-11-23T02:04:39.0163456Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T02:04:39.0163610Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0163715Z     {
2022-11-23T02:04:39.0163816Z         #pragma omp for 
2022-11-23T02:04:39.0163942Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T02:04:39.0164044Z         {
2022-11-23T02:04:39.0164145Z             {
2022-11-23T02:04:39.0164256Z                 {
2022-11-23T02:04:39.0164667Z                     float tmp5 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.0164810Z                     for(long i1=0; i1<64; i1+=1)
2022-11-23T02:04:39.0164896Z                     {
2022-11-23T02:04:39.0165003Z                         {
2022-11-23T02:04:39.0165166Z                             auto tmp0 = static_cast<long>(i1);
2022-11-23T02:04:39.0165323Z                             auto tmp1 = static_cast<long>(63);
2022-11-23T02:04:39.0165468Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T02:04:39.0165607Z                             float tmp3 = 0.0;
2022-11-23T02:04:39.0165728Z                             if(tmp2)
2022-11-23T02:04:39.0165928Z                             {
2022-11-23T02:04:39.0166085Z                                 auto tmp4 = in_ptr0[i1 + (63*i0)];
2022-11-23T02:04:39.0166217Z                                 tmp3 = tmp4;
2022-11-23T02:04:39.0166328Z                             }
2022-11-23T02:04:39.0166491Z                             tmp5 = std::max(tmp5, tmp3);
2022-11-23T02:04:39.0166599Z                         }
2022-11-23T02:04:39.0166705Z                     }
2022-11-23T02:04:39.0166812Z                     out_ptr0[i0] = tmp5;
2022-11-23T02:04:39.0166913Z                 }
2022-11-23T02:04:39.0167010Z             }
2022-11-23T02:04:39.0167110Z         }
2022-11-23T02:04:39.0167237Z         #pragma omp for 
2022-11-23T02:04:39.0167365Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T02:04:39.0167465Z         {
2022-11-23T02:04:39.0167545Z             {
2022-11-23T02:04:39.0167652Z                 {
2022-11-23T02:04:39.0167781Z                     float tmp8 = 0;
2022-11-23T02:04:39.0167928Z                     for(long i1=0; i1<64; i1+=1)
2022-11-23T02:04:39.0168035Z                     {
2022-11-23T02:04:39.0168147Z                         {
2022-11-23T02:04:39.0168269Z                             auto tmp5 = out_ptr0[i0];
2022-11-23T02:04:39.0168483Z                             auto tmp0 = static_cast<long>(i1);
2022-11-23T02:04:39.0168650Z                             auto tmp1 = static_cast<long>(63);
2022-11-23T02:04:39.0168795Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T02:04:39.0168930Z                             float tmp3 = 0.0;
2022-11-23T02:04:39.0169048Z                             if(tmp2)
2022-11-23T02:04:39.0169158Z                             {
2022-11-23T02:04:39.0169312Z                                 auto tmp4 = in_ptr0[i1 + (63*i0)];
2022-11-23T02:04:39.0169422Z                                 tmp3 = tmp4;
2022-11-23T02:04:39.0169529Z                             }
2022-11-23T02:04:39.0169760Z                             auto tmp6 = tmp3 - tmp5;
2022-11-23T02:04:39.0169926Z                             auto tmp7 = std::exp(tmp6);
2022-11-23T02:04:39.0170075Z                             out_ptr1[i1 + (64*i0)] = tmp7;
2022-11-23T02:04:39.0170204Z                             tmp8 += tmp7;
2022-11-23T02:04:39.0170310Z                         }
2022-11-23T02:04:39.0170399Z                     }
2022-11-23T02:04:39.0170529Z                     out_ptr2[i0] = tmp8;
2022-11-23T02:04:39.0170631Z                 }
2022-11-23T02:04:39.0170732Z             }
2022-11-23T02:04:39.0170834Z         }
2022-11-23T02:04:39.0170955Z         #pragma omp for 
2022-11-23T02:04:39.0171056Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T02:04:39.0171157Z         {
2022-11-23T02:04:39.0171281Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:39.0171383Z             {
2022-11-23T02:04:39.0171599Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + (8*i1) + (64*i0));
2022-11-23T02:04:39.0171783Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T02:04:39.0171919Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.0172080Z                 tmp2.store(in_out_ptr0 + (8*i1) + (64*i0));
2022-11-23T02:04:39.0172158Z             }
2022-11-23T02:04:39.0172302Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.0172436Z             for(long i1=64; i1<64; i1+=1)
2022-11-23T02:04:39.0172540Z             {
2022-11-23T02:04:39.0172695Z                 auto tmp0 = out_ptr1[i1 + (64*i0)];
2022-11-23T02:04:39.0172827Z                 auto tmp1 = out_ptr2[i0];
2022-11-23T02:04:39.0172955Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.0173072Z                 in_out_ptr0[i1 + (64*i0)] = tmp2;
2022-11-23T02:04:39.0173173Z             }
2022-11-23T02:04:39.0173273Z         }
2022-11-23T02:04:39.0173375Z     }
2022-11-23T02:04:39.0173472Z }
2022-11-23T02:04:39.0173603Z ''')
2022-11-23T02:04:39.0173623Z 
2022-11-23T02:04:39.0173641Z 
2022-11-23T02:04:39.0173782Z async_compile.wait(globals())
2022-11-23T02:04:39.0173944Z del async_compile
2022-11-23T02:04:39.0173963Z 
2022-11-23T02:04:39.0174075Z def call(args):
2022-11-23T02:04:39.0174187Z     arg0_1, = args
2022-11-23T02:04:39.0174299Z     args.clear()
2022-11-23T02:04:39.0174610Z     buf0 = empty_strided((128, 32, 1), (32, 1, 4096), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0174903Z     buf1 = empty_strided((128, 32, 64), (2048, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0175193Z     buf2 = empty_strided((128, 32, 1), (32, 1, 4096), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0175300Z     buf3 = buf1; del buf1  # reuse
2022-11-23T02:04:39.0175566Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.0175671Z     del arg0_1
2022-11-23T02:04:39.0175779Z     return (buf3, )
2022-11-23T02:04:39.0175799Z 
2022-11-23T02:04:39.0175817Z 
2022-11-23T02:04:39.0175935Z if __name__ == "__main__":
2022-11-23T02:04:39.0176619Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0176936Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0177346Z     arg0_1 = rand_strided((128, 32, 63), (2016, 63, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0177631Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.0177680Z 
2022-11-23T02:04:39.0177772Z ok (2.756s)
2022-11-23T02:04:39.0178184Z   test_elu_cpu (__main__.CpuTests) ... [2022-11-23 01:53:41,240] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0178617Z [2022-11-23 01:53:41,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0178920Z [2022-11-23 01:53:41,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0179271Z [2022-11-23 01:53:41,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0179654Z [2022-11-23 01:53:41,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0180096Z [2022-11-23 01:53:41,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0180565Z [2022-11-23 01:53:41,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0181007Z [2022-11-23 01:53:41,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0181487Z [2022-11-23 01:53:41,242] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fba600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2105> 
2022-11-23T02:04:39.0181632Z  2106           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.0181776Z                2 LOAD_METHOD              1 (elu)
2022-11-23T02:04:39.0181922Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.0182075Z                6 LOAD_CONST               1 (1.6732632423543772)
2022-11-23T02:04:39.0182228Z                8 LOAD_CONST               2 (1.0507009873554805)
2022-11-23T02:04:39.0182363Z               10 CALL_METHOD              3
2022-11-23T02:04:39.0182502Z               12 LOAD_CONST               3 (2)
2022-11-23T02:04:39.0182595Z               14 BINARY_ADD
2022-11-23T02:04:39.0182738Z               16 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.0182876Z               18 LOAD_METHOD              1 (elu)
2022-11-23T02:04:39.0182895Z 
2022-11-23T02:04:39.0183030Z 2107          20 LOAD_FAST                0 (x)
2022-11-23T02:04:39.0183168Z               22 LOAD_CONST               4 (1)
2022-11-23T02:04:39.0183285Z               24 BINARY_ADD
2022-11-23T02:04:39.0183419Z               26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.0183526Z               28 LOAD_CONST               5 (3)
2022-11-23T02:04:39.0183762Z               30 LOAD_CONST               6 (4)
2022-11-23T02:04:39.0183781Z 
2022-11-23T02:04:39.0183918Z 2106          32 CALL_METHOD              4
2022-11-23T02:04:39.0184050Z               34 BUILD_TUPLE              2
2022-11-23T02:04:39.0184175Z               36 RETURN_VALUE
2022-11-23T02:04:39.0184273Z  
2022-11-23T02:04:39.0184294Z 
2022-11-23T02:04:39.0184729Z [2022-11-23 01:53:41,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2106
2022-11-23T02:04:39.0185027Z [2022-11-23 01:53:41,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.0185441Z [2022-11-23 01:53:41,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR elu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.0185761Z [2022-11-23 01:53:41,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.elu)]
2022-11-23T02:04:39.0186166Z [2022-11-23 01:53:41,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.6732632423543772 [TorchVariable(aten.elu), TensorVariable()]
2022-11-23T02:04:39.0186672Z [2022-11-23 01:53:41,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0507009873554805 [TorchVariable(aten.elu), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.0187236Z [2022-11-23 01:53:41,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.elu), TensorVariable(), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T02:04:39.0187569Z [2022-11-23 01:53:41,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:39.0187949Z [2022-11-23 01:53:41,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0188286Z [2022-11-23 01:53:41,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.0188735Z [2022-11-23 01:53:41,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR elu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.0189169Z [2022-11-23 01:53:41,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2107
2022-11-23T02:04:39.0189549Z [2022-11-23 01:53:41,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.elu)]
2022-11-23T02:04:39.0189934Z [2022-11-23 01:53:41,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.elu), TensorVariable()]
2022-11-23T02:04:39.0190401Z [2022-11-23 01:53:41,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0190818Z [2022-11-23 01:53:41,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.elu), TensorVariable()]
2022-11-23T02:04:39.0191277Z [2022-11-23 01:53:41,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0191787Z [2022-11-23 01:53:41,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.0192211Z [2022-11-23 01:53:41,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2106
2022-11-23T02:04:39.0192777Z [2022-11-23 01:53:41,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.0193146Z [2022-11-23 01:53:41,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0193579Z [2022-11-23 01:53:41,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0194097Z [2022-11-23 01:53:41,270] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fba600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2105>
2022-11-23T02:04:39.0194443Z [2022-11-23 01:53:41,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0194766Z [2022-11-23 01:53:41,271] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0195096Z [2022-11-23 01:53:41,273] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0195439Z [2022-11-23 01:53:41,282] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0195710Z [2022-11-23 01:53:41,283] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0195910Z  __compiled_fn_167 <eval_with_key>.1461 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0196044Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0196291Z call_function, elu, aten.elu, (ex_0_, 1.6732632423543772, 1.0507009873554805), {}
2022-11-23T02:04:39.0196542Z call_function, add, <built-in function add>, (elu, 2), {}
2022-11-23T02:04:39.0196787Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.0196921Z call_function, elu_1, aten.elu, (add_1, 2, 3, 4), {}
2022-11-23T02:04:39.0197073Z output, output, output, ((add, elu_1),), {}
2022-11-23T02:04:39.0197094Z 
2022-11-23T02:04:39.0197541Z [2022-11-23 01:53:41,284] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0197684Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0197820Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0197962Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0198103Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0198233Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0198342Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0198467Z              12 RETURN_VALUE
2022-11-23T02:04:39.0198487Z 
2022-11-23T02:04:39.0198587Z  
2022-11-23T02:04:39.0199024Z [2022-11-23 01:53:41,284] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0199187Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_167)
2022-11-23T02:04:39.0199323Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0199459Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0199554Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0199692Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.0199844Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0200003Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0200136Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0200258Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.0200410Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0200544Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0200641Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.0200771Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.0200887Z              26 RETURN_VALUE
2022-11-23T02:04:39.0200907Z 
2022-11-23T02:04:39.0201002Z  
2022-11-23T02:04:39.0201265Z [2022-11-23 01:53:41,285] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0201380Z  - 
2022-11-23T02:04:39.0201553Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0201633Z             {
2022-11-23T02:04:39.0201844Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0202110Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.0202353Z                 'obj_weakref': None
2022-11-23T02:04:39.0202664Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0202772Z             }
2022-11-23T02:04:39.0202877Z             
2022-11-23T02:04:39.0202968Z  - 
2022-11-23T02:04:39.0203155Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0203258Z             {
2022-11-23T02:04:39.0203463Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0203624Z                 'code': None,
2022-11-23T02:04:39.0203922Z                 'obj_weakref': <weakref at 0x7fa61a8eb100; to 'Tensor' at 0x7fa5320be700>
2022-11-23T02:04:39.0204279Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0204356Z             }
2022-11-23T02:04:39.0204459Z             
2022-11-23T02:04:39.0204569Z  - 
2022-11-23T02:04:39.0204759Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0204863Z             {
2022-11-23T02:04:39.0205058Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0205297Z                 'code': ['___check_obj_id(model, 140347990418352)'],
2022-11-23T02:04:39.0205516Z                 'obj_weakref': None
2022-11-23T02:04:39.0205841Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0205942Z             }
2022-11-23T02:04:39.0206043Z             
2022-11-23T02:04:39.0206155Z  - 
2022-11-23T02:04:39.0206332Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0206435Z             {
2022-11-23T02:04:39.0206608Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0206906Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0207080Z                 'obj_weakref': None
2022-11-23T02:04:39.0207394Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0207503Z             }
2022-11-23T02:04:39.0207603Z             
2022-11-23T02:04:39.0207717Z  - 
2022-11-23T02:04:39.0207885Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.0207985Z             {
2022-11-23T02:04:39.0208165Z                 'guard_types': None,
2022-11-23T02:04:39.0208329Z                 'code': None,
2022-11-23T02:04:39.0208498Z                 'obj_weakref': None
2022-11-23T02:04:39.0208676Z                 'guarded_class': None
2022-11-23T02:04:39.0208781Z             }
2022-11-23T02:04:39.0208859Z             
2022-11-23T02:04:39.0209217Z [2022-11-23 01:53:41,311] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 166
2022-11-23T02:04:39.0209525Z [2022-11-23 01:53:41,316] torch._inductor.graph: [WARNING] Creating implicit fallback for:
2022-11-23T02:04:39.0209660Z   target: aten.expm1.default
2022-11-23T02:04:39.0209795Z   args[0]: TensorBox(StorageBox(
2022-11-23T02:04:39.0209914Z     Pointwise(
2022-11-23T02:04:39.0210054Z       'cpu',
2022-11-23T02:04:39.0210148Z       torch.float32,
2022-11-23T02:04:39.0210328Z       load(arg0_1, i1 + 16 * i0) * constant(1.0, torch.float32),
2022-11-23T02:04:39.0210441Z       ranges=[16, 16],
2022-11-23T02:04:39.0210569Z       origins={arg0_1, mul_1}
2022-11-23T02:04:39.0210676Z     )
2022-11-23T02:04:39.0210772Z   ))
2022-11-23T02:04:39.0211172Z [2022-11-23 01:53:41,317] torch._inductor.lowering: [WARNING] make_fallback(aten.expm1.default): a decomposition exists, we should switch to it
2022-11-23T02:04:39.0211532Z [2022-11-23 01:53:41,321] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.expm1.default
2022-11-23T02:04:39.0211879Z [2022-11-23 01:53:41,332] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.expm1.default
2022-11-23T02:04:39.0212370Z [2022-11-23 01:53:43,993] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fn/cfnrw64q5wnawzrd5mlquidifzbowls3k2f7ye7x4q7yjwqh3tla.py
2022-11-23T02:04:39.0212827Z [2022-11-23 01:53:43,994] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 166
2022-11-23T02:04:39.0212849Z 
2022-11-23T02:04:39.0212994Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0213104Z import torch
2022-11-23T02:04:39.0213219Z import random
2022-11-23T02:04:39.0213454Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0213607Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0213626Z 
2022-11-23T02:04:39.0213753Z aten = torch.ops.aten
2022-11-23T02:04:39.0213946Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0214086Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0214105Z 
2022-11-23T02:04:39.0214123Z 
2022-11-23T02:04:39.0214323Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0214608Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0214782Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.0214938Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.0215058Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.0215158Z {
2022-11-23T02:04:39.0215365Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0215467Z     {
2022-11-23T02:04:39.0215591Z         #pragma omp for 
2022-11-23T02:04:39.0215718Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.0215822Z         {
2022-11-23T02:04:39.0216612Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.0216982Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2022-11-23T02:04:39.0217119Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.0217308Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.0217436Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T02:04:39.0217626Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(4));
2022-11-23T02:04:39.0217764Z             auto tmp6 = tmp4 * tmp5;
2022-11-23T02:04:39.0217903Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.0218016Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.0218121Z         }
2022-11-23T02:04:39.0218269Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.0218403Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T02:04:39.0218502Z         {
2022-11-23T02:04:39.0218636Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.0218763Z             auto tmp1 = static_cast<float>(1.0);
2022-11-23T02:04:39.0218893Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.0219041Z             auto tmp3 = static_cast<float>(1);
2022-11-23T02:04:39.0219167Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T02:04:39.0219316Z             auto tmp5 = static_cast<float>(4);
2022-11-23T02:04:39.0219443Z             auto tmp6 = tmp4 * tmp5;
2022-11-23T02:04:39.0219565Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.0219669Z             out_ptr1[i0] = tmp6;
2022-11-23T02:04:39.0219773Z         }
2022-11-23T02:04:39.0219870Z     }
2022-11-23T02:04:39.0219965Z }
2022-11-23T02:04:39.0220129Z ''')
2022-11-23T02:04:39.0220150Z 
2022-11-23T02:04:39.0220169Z 
2022-11-23T02:04:39.0220368Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T02:04:39.0220660Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0220829Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.0220961Z                        float* __restrict__ in_out_ptr1,
2022-11-23T02:04:39.0221120Z                        const float* __restrict__ in_ptr0)
2022-11-23T02:04:39.0221222Z {
2022-11-23T02:04:39.0221375Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0221473Z     {
2022-11-23T02:04:39.0221588Z         #pragma omp for 
2022-11-23T02:04:39.0221723Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T02:04:39.0221799Z         {
2022-11-23T02:04:39.0222054Z             {
2022-11-23T02:04:39.0222161Z                 {
2022-11-23T02:04:39.0222304Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.0222452Z                     auto tmp5 = in_out_ptr0[i0];
2022-11-23T02:04:39.0222598Z                     auto tmp16 = in_out_ptr1[i0];
2022-11-23T02:04:39.0222730Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T02:04:39.0222870Z                     auto tmp2 = tmp0 > tmp1;
2022-11-23T02:04:39.0223040Z                     auto tmp3 = static_cast<float>(1.0507009873554805);
2022-11-23T02:04:39.0223175Z                     auto tmp4 = tmp0 * tmp3;
2022-11-23T02:04:39.0223342Z                     auto tmp6 = static_cast<float>(1.7580993408473766);
2022-11-23T02:04:39.0223485Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T02:04:39.0223633Z                     auto tmp8 = tmp2 ? tmp4 : tmp7;
2022-11-23T02:04:39.0223782Z                     auto tmp9 = static_cast<float>(2);
2022-11-23T02:04:39.0223897Z                     auto tmp10 = tmp8 + tmp9;
2022-11-23T02:04:39.0224056Z                     auto tmp11 = static_cast<float>(1);
2022-11-23T02:04:39.0224196Z                     auto tmp12 = tmp0 + tmp11;
2022-11-23T02:04:39.0224341Z                     auto tmp13 = tmp12 > tmp1;
2022-11-23T02:04:39.0224637Z                     auto tmp14 = static_cast<float>(3);
2022-11-23T02:04:39.0224792Z                     auto tmp15 = tmp12 * tmp14;
2022-11-23T02:04:39.0224946Z                     auto tmp17 = static_cast<float>(6);
2022-11-23T02:04:39.0225062Z                     auto tmp18 = tmp16 * tmp17;
2022-11-23T02:04:39.0225206Z                     auto tmp19 = tmp13 ? tmp15 : tmp18;
2022-11-23T02:04:39.0225345Z                     in_out_ptr0[i0] = tmp10;
2022-11-23T02:04:39.0225480Z                     in_out_ptr1[i0] = tmp19;
2022-11-23T02:04:39.0225585Z                 }
2022-11-23T02:04:39.0225687Z             }
2022-11-23T02:04:39.0225791Z         }
2022-11-23T02:04:39.0225867Z     }
2022-11-23T02:04:39.0225964Z }
2022-11-23T02:04:39.0226097Z ''')
2022-11-23T02:04:39.0226117Z 
2022-11-23T02:04:39.0226135Z 
2022-11-23T02:04:39.0226276Z async_compile.wait(globals())
2022-11-23T02:04:39.0226387Z del async_compile
2022-11-23T02:04:39.0226406Z 
2022-11-23T02:04:39.0226526Z def call(args):
2022-11-23T02:04:39.0226635Z     arg0_1, = args
2022-11-23T02:04:39.0226785Z     args.clear()
2022-11-23T02:04:39.0227083Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0227357Z     buf3 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0227591Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T02:04:39.0227759Z     buf1 = torch.ops.aten.expm1.default(buf0)
2022-11-23T02:04:39.0227863Z     del buf0
2022-11-23T02:04:39.0227968Z     buf2 = buf1
2022-11-23T02:04:39.0228091Z     assert_size_stride(buf2, (16, 16), (16, 1))
2022-11-23T02:04:39.0228199Z     del buf1
2022-11-23T02:04:39.0228366Z     buf4 = torch.ops.aten.expm1.default(buf3)
2022-11-23T02:04:39.0228474Z     del buf3
2022-11-23T02:04:39.0228581Z     buf5 = buf4
2022-11-23T02:04:39.0228719Z     assert_size_stride(buf5, (16, 16), (16, 1))
2022-11-23T02:04:39.0228818Z     del buf4
2022-11-23T02:04:39.0228926Z     buf6 = buf2; del buf2  # reuse
2022-11-23T02:04:39.0229054Z     buf7 = buf5; del buf5  # reuse
2022-11-23T02:04:39.0229281Z     kernel_cpp_1(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(arg0_1.data_ptr()))
2022-11-23T02:04:39.0229389Z     del arg0_1
2022-11-23T02:04:39.0229508Z     return (buf6, buf7, )
2022-11-23T02:04:39.0229532Z 
2022-11-23T02:04:39.0229549Z 
2022-11-23T02:04:39.0229667Z if __name__ == "__main__":
2022-11-23T02:04:39.0229835Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0230014Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0230274Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0230435Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.0230545Z 
2022-11-23T02:04:39.0230655Z ok (2.761s)
2022-11-23T02:04:39.0231090Z   test_embedding_bag_cpu (__main__.CpuTests) ... [2022-11-23 01:53:44,002] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0231529Z [2022-11-23 01:53:44,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0231831Z [2022-11-23 01:53:44,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0232180Z [2022-11-23 01:53:44,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0232559Z [2022-11-23 01:53:44,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0232995Z [2022-11-23 01:53:44,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0233443Z [2022-11-23 01:53:44,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0233931Z [2022-11-23 01:53:44,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0234451Z [2022-11-23 01:53:44,004] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fbb9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2303> 
2022-11-23T02:04:39.0234594Z  2304           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.0234753Z                2 LOAD_METHOD              1 (_embedding_bag)
2022-11-23T02:04:39.0234890Z                4 LOAD_FAST                0 (w)
2022-11-23T02:04:39.0235021Z                6 LOAD_FAST                1 (i)
2022-11-23T02:04:39.0235156Z                8 LOAD_FAST                2 (o)
2022-11-23T02:04:39.0235301Z               10 LOAD_CONST               1 (False)
2022-11-23T02:04:39.0235412Z               12 LOAD_CONST               2 (0)
2022-11-23T02:04:39.0235551Z               14 LOAD_CONST               1 (False)
2022-11-23T02:04:39.0235688Z               16 LOAD_CONST               0 (None)
2022-11-23T02:04:39.0235821Z               18 CALL_METHOD              7
2022-11-23T02:04:39.0235941Z               20 RETURN_VALUE
2022-11-23T02:04:39.0236038Z  
2022-11-23T02:04:39.0236058Z 
2022-11-23T02:04:39.0236486Z [2022-11-23 01:53:44,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2304
2022-11-23T02:04:39.0236765Z [2022-11-23 01:53:44,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.0237201Z [2022-11-23 01:53:44,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _embedding_bag [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.0237698Z [2022-11-23 01:53:44,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(aten._embedding_bag)]
2022-11-23T02:04:39.0238100Z [2022-11-23 01:53:44,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [TorchVariable(aten._embedding_bag), TensorVariable()]
2022-11-23T02:04:39.0238532Z [2022-11-23 01:53:44,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST o [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0239015Z [2022-11-23 01:53:44,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0239532Z [2022-11-23 01:53:44,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.0240116Z [2022-11-23 01:53:44,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T02:04:39.0240810Z [2022-11-23 01:53:44,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T02:04:39.0241509Z [2022-11-23 01:53:44,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T02:04:39.0241850Z [2022-11-23 01:53:44,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0242371Z [2022-11-23 01:53:44,017] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fbb9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2303>
2022-11-23T02:04:39.0242713Z [2022-11-23 01:53:44,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0243072Z [2022-11-23 01:53:44,017] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0243440Z [2022-11-23 01:53:44,019] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0243784Z [2022-11-23 01:53:44,026] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0244053Z [2022-11-23 01:53:44,026] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0244247Z  __compiled_fn_168 <eval_with_key>.1467 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0244379Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0244518Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.0244649Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.0244861Z call_function, _embedding_bag, aten._embedding_bag, (ex_0_, ex_1_, ex_2_, False, 0, False, None), {}
2022-11-23T02:04:39.0245151Z call_function, getitem, <built-in function getitem>, (_embedding_bag, 0), {}
2022-11-23T02:04:39.0245435Z call_function, getitem_1, <built-in function getitem>, (_embedding_bag, 1), {}
2022-11-23T02:04:39.0245722Z call_function, getitem_2, <built-in function getitem>, (_embedding_bag, 2), {}
2022-11-23T02:04:39.0246003Z call_function, getitem_3, <built-in function getitem>, (_embedding_bag, 3), {}
2022-11-23T02:04:39.0246200Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T02:04:39.0246222Z 
2022-11-23T02:04:39.0246667Z [2022-11-23 01:53:44,027] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0246810Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0246951Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0247063Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0247207Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0247342Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0247484Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0247604Z              12 RETURN_VALUE
2022-11-23T02:04:39.0247623Z 
2022-11-23T02:04:39.0247725Z  
2022-11-23T02:04:39.0248181Z [2022-11-23 01:53:44,027] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0248319Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_168)
2022-11-23T02:04:39.0248457Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0248597Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0248719Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0248853Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0249063Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0249187Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.0249295Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0249434Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.0249562Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.0249695Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.0249851Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0250003Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0250141Z              26 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0250260Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.0250389Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0250522Z              32 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0250645Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.0250793Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0250937Z              38 LOAD_CONST               3 (2)
2022-11-23T02:04:39.0251058Z              40 BINARY_SUBSCR
2022-11-23T02:04:39.0251208Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0251318Z              44 LOAD_CONST               4 (3)
2022-11-23T02:04:39.0251498Z              46 BINARY_SUBSCR
2022-11-23T02:04:39.0251640Z              48 BUILD_TUPLE              4
2022-11-23T02:04:39.0251757Z              50 RETURN_VALUE
2022-11-23T02:04:39.0251776Z 
2022-11-23T02:04:39.0251874Z  
2022-11-23T02:04:39.0252142Z [2022-11-23 01:53:44,029] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0252254Z  - 
2022-11-23T02:04:39.0252403Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0252511Z             {
2022-11-23T02:04:39.0252708Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0252978Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.0253154Z                 'obj_weakref': None
2022-11-23T02:04:39.0253470Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0253575Z             }
2022-11-23T02:04:39.0253653Z             
2022-11-23T02:04:39.0253765Z  - 
2022-11-23T02:04:39.0253951Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0254051Z             {
2022-11-23T02:04:39.0254259Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0254424Z                 'code': None,
2022-11-23T02:04:39.0254719Z                 'obj_weakref': <weakref at 0x7fa5501b4270; to 'Tensor' at 0x7fa61a793d80>
2022-11-23T02:04:39.0255044Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0255142Z             }
2022-11-23T02:04:39.0255244Z             
2022-11-23T02:04:39.0255359Z  - 
2022-11-23T02:04:39.0255539Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.0255640Z             {
2022-11-23T02:04:39.0255852Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0255985Z                 'code': None,
2022-11-23T02:04:39.0256996Z                 'obj_weakref': <weakref at 0x7fa5501b7a10; to 'Tensor' at 0x7fa55003fa10>
2022-11-23T02:04:39.0257606Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0257768Z             }
2022-11-23T02:04:39.0257920Z             
2022-11-23T02:04:39.0258105Z  - 
2022-11-23T02:04:39.0258404Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.0258490Z             {
2022-11-23T02:04:39.0258702Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0258855Z                 'code': None,
2022-11-23T02:04:39.0259140Z                 'obj_weakref': <weakref at 0x7fa5501b6250; to 'Tensor' at 0x7fa5504838d0>
2022-11-23T02:04:39.0259483Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0259752Z             }
2022-11-23T02:04:39.0259853Z             
2022-11-23T02:04:39.0259942Z  - 
2022-11-23T02:04:39.0260134Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0260234Z             {
2022-11-23T02:04:39.0260429Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0260677Z                 'code': ['___check_obj_id(model, 140347990418352)'],
2022-11-23T02:04:39.0260852Z                 'obj_weakref': None
2022-11-23T02:04:39.0261166Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0261243Z             }
2022-11-23T02:04:39.0261346Z             
2022-11-23T02:04:39.0261458Z  - 
2022-11-23T02:04:39.0261637Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0261739Z             {
2022-11-23T02:04:39.0261935Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0262232Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0262384Z                 'obj_weakref': None
2022-11-23T02:04:39.0262688Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0262792Z             }
2022-11-23T02:04:39.0262891Z             
2022-11-23T02:04:39.0263004Z  - 
2022-11-23T02:04:39.0263277Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.0263390Z             {
2022-11-23T02:04:39.0263544Z                 'guard_types': None,
2022-11-23T02:04:39.0263700Z                 'code': None,
2022-11-23T02:04:39.0263871Z                 'obj_weakref': None
2022-11-23T02:04:39.0264047Z                 'guarded_class': None
2022-11-23T02:04:39.0264147Z             }
2022-11-23T02:04:39.0264249Z             
2022-11-23T02:04:39.0264613Z [2022-11-23 01:53:44,044] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 167
2022-11-23T02:04:39.0264910Z [2022-11-23 01:53:44,048] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._embedding_bag
2022-11-23T02:04:39.0265409Z [2022-11-23 01:53:44,053] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i5/ci5acztwicuxzag22xkote3ktqanke7teylb5er5jz3r5t5ybjuf.py
2022-11-23T02:04:39.0265777Z [2022-11-23 01:53:44,053] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 167
2022-11-23T02:04:39.0265802Z 
2022-11-23T02:04:39.0265944Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0266058Z import torch
2022-11-23T02:04:39.0266167Z import random
2022-11-23T02:04:39.0266338Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0266518Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0266537Z 
2022-11-23T02:04:39.0266634Z aten = torch.ops.aten
2022-11-23T02:04:39.0266827Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0266968Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0266990Z 
2022-11-23T02:04:39.0267009Z 
2022-11-23T02:04:39.0267146Z async_compile.wait(globals())
2022-11-23T02:04:39.0267263Z del async_compile
2022-11-23T02:04:39.0267282Z 
2022-11-23T02:04:39.0267388Z def call(args):
2022-11-23T02:04:39.0267514Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.0267625Z     args.clear()
2022-11-23T02:04:39.0267769Z     buf0 = aten._embedding_bag(arg0_1, arg1_1, arg2_1)
2022-11-23T02:04:39.0267878Z     del arg0_1
2022-11-23T02:04:39.0267981Z     del arg1_1
2022-11-23T02:04:39.0268084Z     del arg2_1
2022-11-23T02:04:39.0268189Z     buf1 = buf0[0]
2022-11-23T02:04:39.0268334Z     assert_size_stride(buf1, (3, 4), (4, 1))
2022-11-23T02:04:39.0268417Z     buf2 = buf0[1]
2022-11-23T02:04:39.0268559Z     assert_size_stride(buf2, (0, ), (1, ))
2022-11-23T02:04:39.0268668Z     buf3 = buf0[2]
2022-11-23T02:04:39.0268809Z     assert_size_stride(buf3, (3, ), (1, ))
2022-11-23T02:04:39.0268918Z     buf4 = buf0[3]
2022-11-23T02:04:39.0269057Z     assert_size_stride(buf4, (3, ), (1, ))
2022-11-23T02:04:39.0269160Z     del buf0
2022-11-23T02:04:39.0269269Z     return (buf1, buf2, buf3, buf4, )
2022-11-23T02:04:39.0269386Z 
2022-11-23T02:04:39.0269404Z 
2022-11-23T02:04:39.0269505Z if __name__ == "__main__":
2022-11-23T02:04:39.0269670Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0269853Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0270149Z     arg0_1 = rand_strided((10, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0270419Z     arg1_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0270681Z     arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0270859Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.0270877Z 
2022-11-23T02:04:39.0270982Z ok (0.060s)
2022-11-23T02:04:39.0271380Z   test_embedding_cpu (__main__.CpuTests) ... [2022-11-23 01:53:44,060] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0271814Z [2022-11-23 01:53:44,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0272126Z [2022-11-23 01:53:44,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0272516Z [2022-11-23 01:53:44,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:39.0272893Z [2022-11-23 01:53:44,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:39.0273314Z [2022-11-23 01:53:44,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0273768Z [2022-11-23 01:53:44,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0274192Z [2022-11-23 01:53:44,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0274723Z [2022-11-23 01:53:44,069] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T02:04:39.0274869Z  170           0 LOAD_FAST                1 (x)
2022-11-23T02:04:39.0274979Z               2 BUILD_TUPLE              1
2022-11-23T02:04:39.0275100Z               4 RETURN_VALUE
2022-11-23T02:04:39.0275194Z  
2022-11-23T02:04:39.0275214Z 
2022-11-23T02:04:39.0275636Z [2022-11-23 01:53:44,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T02:04:39.0275930Z [2022-11-23 01:53:44,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.0276266Z [2022-11-23 01:53:44,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:39.0276606Z [2022-11-23 01:53:44,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0277131Z [2022-11-23 01:53:44,070] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T02:04:39.0277471Z [2022-11-23 01:53:44,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0277778Z [2022-11-23 01:53:44,070] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0278124Z [2022-11-23 01:53:44,072] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0278468Z [2022-11-23 01:53:44,080] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0278733Z [2022-11-23 01:53:44,081] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0278925Z  __compiled_fn_169 <eval_with_key>.1473 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0279124Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0279271Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:39.0279424Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T02:04:39.0279552Z output, output, output, ((model_1,),), {}
2022-11-23T02:04:39.0279572Z 
2022-11-23T02:04:39.0280020Z [2022-11-23 01:53:44,081] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0280164Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0280300Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0280433Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0280573Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0280702Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0280813Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0280933Z              12 RETURN_VALUE
2022-11-23T02:04:39.0280957Z 
2022-11-23T02:04:39.0281050Z  
2022-11-23T02:04:39.0281485Z [2022-11-23 01:53:44,081] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0281712Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_169)
2022-11-23T02:04:39.0281856Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0281995Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0282114Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0282223Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.0282377Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0282529Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0282663Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0282783Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.0282915Z              18 BUILD_TUPLE              1
2022-11-23T02:04:39.0283039Z              20 RETURN_VALUE
2022-11-23T02:04:39.0283058Z 
2022-11-23T02:04:39.0283132Z  
2022-11-23T02:04:39.0283399Z [2022-11-23 01:53:44,083] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0283513Z  - 
2022-11-23T02:04:39.0283693Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0283800Z             {
2022-11-23T02:04:39.0284005Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0284266Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.0284417Z                 'obj_weakref': None
2022-11-23T02:04:39.0284731Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0284834Z             }
2022-11-23T02:04:39.0284937Z             
2022-11-23T02:04:39.0285046Z  - 
2022-11-23T02:04:39.0285228Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0285326Z             {
2022-11-23T02:04:39.0285506Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0285670Z                 'code': None,
2022-11-23T02:04:39.0285965Z                 'obj_weakref': <weakref at 0x7fa5501b4040; to 'Tensor' at 0x7fa53c376390>
2022-11-23T02:04:39.0286324Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0286426Z             }
2022-11-23T02:04:39.0286522Z             
2022-11-23T02:04:39.0286639Z  - 
2022-11-23T02:04:39.0286858Z             local 'model' NN_MODULE
2022-11-23T02:04:39.0286964Z             {
2022-11-23T02:04:39.0287158Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0287395Z                 'code': ['___check_obj_id(model, 140348157140592)'],
2022-11-23T02:04:39.0287694Z                 'obj_weakref': <weakref at 0x7fa5501b5620; to 'Sequential' at 0x7fa55a0d1e70>
2022-11-23T02:04:39.0288019Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:39.0288203Z             }
2022-11-23T02:04:39.0288303Z             
2022-11-23T02:04:39.0288393Z  - 
2022-11-23T02:04:39.0288573Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0288679Z             {
2022-11-23T02:04:39.0288876Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0289185Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0289360Z                 'obj_weakref': None
2022-11-23T02:04:39.0289669Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0289749Z             }
2022-11-23T02:04:39.0289852Z             
2022-11-23T02:04:39.0289960Z  - 
2022-11-23T02:04:39.0290171Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:39.0290272Z             {
2022-11-23T02:04:39.0290453Z                 'guard_types': None,
2022-11-23T02:04:39.0290589Z                 'code': None,
2022-11-23T02:04:39.0290763Z                 'obj_weakref': None
2022-11-23T02:04:39.0290942Z                 'guarded_class': None
2022-11-23T02:04:39.0291042Z             }
2022-11-23T02:04:39.0291147Z             
2022-11-23T02:04:39.0291262Z  - 
2022-11-23T02:04:39.0291466Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:39.0291601Z             {
2022-11-23T02:04:39.0291790Z                 'guard_types': None,
2022-11-23T02:04:39.0291946Z                 'code': None,
2022-11-23T02:04:39.0292119Z                 'obj_weakref': None
2022-11-23T02:04:39.0292294Z                 'guarded_class': None
2022-11-23T02:04:39.0292395Z             }
2022-11-23T02:04:39.0292495Z             
2022-11-23T02:04:39.0292581Z  - 
2022-11-23T02:04:39.0292783Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T02:04:39.0292890Z             {
2022-11-23T02:04:39.0293069Z                 'guard_types': None,
2022-11-23T02:04:39.0293229Z                 'code': None,
2022-11-23T02:04:39.0293397Z                 'obj_weakref': None
2022-11-23T02:04:39.0293580Z                 'guarded_class': None
2022-11-23T02:04:39.0293659Z             }
2022-11-23T02:04:39.0293755Z             
2022-11-23T02:04:39.0294113Z [2022-11-23 01:53:44,139] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 168
2022-11-23T02:04:39.0294610Z [2022-11-23 01:53:46,749] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/go/cgoywq27s67sebmp6xp2jdnak2um4ccty2ggcavum6t5mkojgqgl.py
2022-11-23T02:04:39.0294975Z [2022-11-23 01:53:46,750] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 168
2022-11-23T02:04:39.0294997Z 
2022-11-23T02:04:39.0295139Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0295249Z import torch
2022-11-23T02:04:39.0295341Z import random
2022-11-23T02:04:39.0295509Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0295683Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0295703Z 
2022-11-23T02:04:39.0295819Z aten = torch.ops.aten
2022-11-23T02:04:39.0296447Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0296704Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0296736Z 
2022-11-23T02:04:39.0296764Z 
2022-11-23T02:04:39.0297094Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0297487Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0297663Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.0297795Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.0297942Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.0298085Z                        bool* __restrict__ out_ptr1,
2022-11-23T02:04:39.0298224Z                        long* __restrict__ out_ptr2)
2022-11-23T02:04:39.0298325Z {
2022-11-23T02:04:39.0298477Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0298572Z     {
2022-11-23T02:04:39.0298670Z         #pragma omp for 
2022-11-23T02:04:39.0298985Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.0299088Z         {
2022-11-23T02:04:39.0299214Z             #pragma GCC ivdep
2022-11-23T02:04:39.0299342Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.0299446Z             {
2022-11-23T02:04:39.0299529Z                 {
2022-11-23T02:04:39.0299640Z                     {
2022-11-23T02:04:39.0299785Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.0299943Z                         auto tmp1 = in_ptr1[i1 + (4*tmp0)];
2022-11-23T02:04:39.0300088Z                         auto tmp2 = tmp1 * (tmp1>0);
2022-11-23T02:04:39.0300232Z                         out_ptr0[i1 + (4*i0)] = tmp2;
2022-11-23T02:04:39.0300336Z                     }
2022-11-23T02:04:39.0300415Z                 }
2022-11-23T02:04:39.0300518Z             }
2022-11-23T02:04:39.0300623Z         }
2022-11-23T02:04:39.0300745Z         #pragma omp for 
2022-11-23T02:04:39.0300870Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:39.0300977Z         {
2022-11-23T02:04:39.0301083Z             {
2022-11-23T02:04:39.0301161Z                 {
2022-11-23T02:04:39.0301300Z                     auto tmp0 = out_ptr0[i0];
2022-11-23T02:04:39.0301452Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T02:04:39.0301719Z                     auto tmp2 = tmp0 <= tmp1;
2022-11-23T02:04:39.0301862Z                     out_ptr1[i0] = tmp2;
2022-11-23T02:04:39.0301965Z                 }
2022-11-23T02:04:39.0302067Z             }
2022-11-23T02:04:39.0302142Z         }
2022-11-23T02:04:39.0302265Z         #pragma omp for 
2022-11-23T02:04:39.0302388Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.0302488Z         {
2022-11-23T02:04:39.0302590Z             {
2022-11-23T02:04:39.0302691Z                 {
2022-11-23T02:04:39.0302806Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.0302963Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:39.0303116Z                     auto tmp2 = static_cast<long>(tmp1);
2022-11-23T02:04:39.0303249Z                     out_ptr2[i0] = tmp2;
2022-11-23T02:04:39.0303349Z                 }
2022-11-23T02:04:39.0303449Z             }
2022-11-23T02:04:39.0303556Z         }
2022-11-23T02:04:39.0303631Z     }
2022-11-23T02:04:39.0303728Z }
2022-11-23T02:04:39.0303870Z ''')
2022-11-23T02:04:39.0303894Z 
2022-11-23T02:04:39.0303913Z 
2022-11-23T02:04:39.0304048Z async_compile.wait(globals())
2022-11-23T02:04:39.0304162Z del async_compile
2022-11-23T02:04:39.0304181Z 
2022-11-23T02:04:39.0304296Z def call(args):
2022-11-23T02:04:39.0304432Z     primals_1, primals_2 = args
2022-11-23T02:04:39.0304520Z     args.clear()
2022-11-23T02:04:39.0304815Z     buf0 = empty_strided((2, 8, 4), (32, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0305091Z     buf1 = empty_strided((2, 8, 4), (32, 4, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.0305355Z     buf2 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0305664Z     kernel_cpp_0(c_void_p(primals_2.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.0305783Z     del primals_1
2022-11-23T02:04:39.0305892Z     del primals_2
2022-11-23T02:04:39.0306018Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:39.0306042Z 
2022-11-23T02:04:39.0306061Z 
2022-11-23T02:04:39.0306181Z if __name__ == "__main__":
2022-11-23T02:04:39.0306326Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0306503Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0306793Z     primals_1 = rand_strided((10, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0307070Z     primals_2 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0307253Z     print_performance(lambda: call([primals_1, primals_2]))
2022-11-23T02:04:39.0307273Z 
2022-11-23T02:04:39.0307382Z ok (2.696s)
2022-11-23T02:04:39.0307789Z   test_exp_cpu (__main__.CpuTests) ... [2022-11-23 01:53:46,757] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0308293Z [2022-11-23 01:53:46,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0308573Z [2022-11-23 01:53:46,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0308922Z [2022-11-23 01:53:46,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0309303Z [2022-11-23 01:53:46,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0309735Z [2022-11-23 01:53:46,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0310201Z [2022-11-23 01:53:46,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0310639Z [2022-11-23 01:53:46,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0311207Z [2022-11-23 01:53:46,758] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1000> 
2022-11-23T02:04:39.0311367Z  1001           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0311508Z                2 LOAD_METHOD              1 (exp)
2022-11-23T02:04:39.0311622Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0311758Z                6 CALL_METHOD              1
2022-11-23T02:04:39.0311899Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0312037Z               10 LOAD_METHOD              1 (exp)
2022-11-23T02:04:39.0312172Z               12 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0312316Z               14 LOAD_FAST                1 (b)
2022-11-23T02:04:39.0312436Z               16 BINARY_ADD
2022-11-23T02:04:39.0312570Z               18 CALL_METHOD              1
2022-11-23T02:04:39.0312682Z               20 BUILD_TUPLE              2
2022-11-23T02:04:39.0312807Z               22 RETURN_VALUE
2022-11-23T02:04:39.0312908Z  
2022-11-23T02:04:39.0312930Z 
2022-11-23T02:04:39.0313365Z [2022-11-23 01:53:46,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1001
2022-11-23T02:04:39.0313667Z [2022-11-23 01:53:46,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.0314157Z [2022-11-23 01:53:46,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0314589Z [2022-11-23 01:53:46,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method exp of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.0315063Z [2022-11-23 01:53:46,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method exp of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.0315404Z [2022-11-23 01:53:46,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.0315915Z [2022-11-23 01:53:46,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0316382Z [2022-11-23 01:53:46,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.0316968Z [2022-11-23 01:53:46,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.0317570Z [2022-11-23 01:53:46,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0318087Z [2022-11-23 01:53:46,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.0318456Z [2022-11-23 01:53:46,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0318801Z [2022-11-23 01:53:46,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0319309Z [2022-11-23 01:53:46,766] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1000>
2022-11-23T02:04:39.0319655Z [2022-11-23 01:53:46,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0319980Z [2022-11-23 01:53:46,766] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0320394Z [2022-11-23 01:53:46,768] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0320722Z [2022-11-23 01:53:46,774] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0320988Z [2022-11-23 01:53:46,775] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0321184Z  __compiled_fn_170 <eval_with_key>.1484 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0321318Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0321450Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.0321762Z call_function, exp, <built-in method exp of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.0322012Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.0322321Z call_function, exp_1, <built-in method exp of type object at 0x7fa5855aec60>, (add,), {}
2022-11-23T02:04:39.0322454Z output, output, output, ((exp, exp_1),), {}
2022-11-23T02:04:39.0322497Z 
2022-11-23T02:04:39.0322919Z [2022-11-23 01:53:46,775] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0323063Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0323198Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0323331Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0323480Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0323612Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0323752Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0323846Z              12 RETURN_VALUE
2022-11-23T02:04:39.0323866Z 
2022-11-23T02:04:39.0323968Z  
2022-11-23T02:04:39.0324411Z [2022-11-23 01:53:46,776] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0324575Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_170)
2022-11-23T02:04:39.0324721Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0324863Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0324982Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0325117Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0325226Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0325347Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.0325479Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.0325633Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0325793Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0325929Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0326126Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.0326252Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0326385Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0326502Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.0326641Z              30 BUILD_TUPLE              2
2022-11-23T02:04:39.0326758Z              32 RETURN_VALUE
2022-11-23T02:04:39.0326778Z 
2022-11-23T02:04:39.0326879Z  
2022-11-23T02:04:39.0327159Z [2022-11-23 01:53:46,777] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0327247Z  - 
2022-11-23T02:04:39.0327417Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0327514Z             {
2022-11-23T02:04:39.0327717Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0327977Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.0328148Z                 'obj_weakref': None
2022-11-23T02:04:39.0328459Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0328545Z             }
2022-11-23T02:04:39.0328641Z             
2022-11-23T02:04:39.0328749Z  - 
2022-11-23T02:04:39.0328928Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0329096Z             {
2022-11-23T02:04:39.0329305Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0329459Z                 'code': None,
2022-11-23T02:04:39.0329729Z                 'obj_weakref': <weakref at 0x7fa55009bbf0; to 'Tensor' at 0x7fa53222e4d0>
2022-11-23T02:04:39.0330071Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0330169Z             }
2022-11-23T02:04:39.0330265Z             
2022-11-23T02:04:39.0330372Z  - 
2022-11-23T02:04:39.0330547Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.0330644Z             {
2022-11-23T02:04:39.0330825Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0330988Z                 'code': None,
2022-11-23T02:04:39.0331271Z                 'obj_weakref': <weakref at 0x7fa550099620; to 'Tensor' at 0x7fa55003fa10>
2022-11-23T02:04:39.0331621Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0331723Z             }
2022-11-23T02:04:39.0331819Z             
2022-11-23T02:04:39.0331928Z  - 
2022-11-23T02:04:39.0332096Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0332193Z             {
2022-11-23T02:04:39.0332381Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0332615Z                 'code': ['___check_obj_id(model, 140347484144544)'],
2022-11-23T02:04:39.0332786Z                 'obj_weakref': None
2022-11-23T02:04:39.0333099Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0333198Z             }
2022-11-23T02:04:39.0333275Z             
2022-11-23T02:04:39.0333386Z  - 
2022-11-23T02:04:39.0333559Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0333655Z             {
2022-11-23T02:04:39.0333842Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0334137Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0334310Z                 'obj_weakref': None
2022-11-23T02:04:39.0334596Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0334695Z             }
2022-11-23T02:04:39.0334789Z             
2022-11-23T02:04:39.0334897Z  - 
2022-11-23T02:04:39.0335084Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.0335179Z             {
2022-11-23T02:04:39.0335348Z                 'guard_types': None,
2022-11-23T02:04:39.0335484Z                 'code': None,
2022-11-23T02:04:39.0335652Z                 'obj_weakref': None
2022-11-23T02:04:39.0335823Z                 'guarded_class': None
2022-11-23T02:04:39.0335997Z             }
2022-11-23T02:04:39.0336841Z             
2022-11-23T02:04:39.0337332Z [2022-11-23 01:53:46,788] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 169
2022-11-23T02:04:39.0337839Z [2022-11-23 01:53:49,423] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xf/cxfz5pdldztyzdxvorhgjpt6bt4rdmonhffenb634fdcfntneogd.py
2022-11-23T02:04:39.0338203Z [2022-11-23 01:53:49,423] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 169
2022-11-23T02:04:39.0338225Z 
2022-11-23T02:04:39.0338342Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0338448Z import torch
2022-11-23T02:04:39.0338552Z import random
2022-11-23T02:04:39.0338719Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0338892Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0338911Z 
2022-11-23T02:04:39.0339029Z aten = torch.ops.aten
2022-11-23T02:04:39.0339220Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0339339Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0339358Z 
2022-11-23T02:04:39.0339394Z 
2022-11-23T02:04:39.0339570Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0340029Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0340216Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.0340365Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.0340510Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.0340649Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.0340742Z {
2022-11-23T02:04:39.0340866Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0340959Z     {
2022-11-23T02:04:39.0341075Z         #pragma omp for 
2022-11-23T02:04:39.0341201Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.0341301Z         {
2022-11-23T02:04:39.0341531Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.0341729Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.0341834Z             auto tmp1 = tmp0.exp();
2022-11-23T02:04:39.0341964Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:39.0342095Z             auto tmp4 = tmp3.exp();
2022-11-23T02:04:39.0342232Z             tmp1.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.0342366Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.0342466Z         }
2022-11-23T02:04:39.0342607Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.0342710Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.0342812Z         {
2022-11-23T02:04:39.0342935Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.0343062Z             auto tmp2 = in_ptr1[i0];
2022-11-23T02:04:39.0343204Z             auto tmp1 = std::exp(tmp0);
2022-11-23T02:04:39.0343335Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:39.0343467Z             auto tmp4 = std::exp(tmp3);
2022-11-23T02:04:39.0343572Z             out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.0343693Z             out_ptr1[i0] = tmp4;
2022-11-23T02:04:39.0343789Z         }
2022-11-23T02:04:39.0343890Z     }
2022-11-23T02:04:39.0343988Z }
2022-11-23T02:04:39.0344124Z ''')
2022-11-23T02:04:39.0344147Z 
2022-11-23T02:04:39.0344166Z 
2022-11-23T02:04:39.0344305Z async_compile.wait(globals())
2022-11-23T02:04:39.0344395Z del async_compile
2022-11-23T02:04:39.0344414Z 
2022-11-23T02:04:39.0344528Z def call(args):
2022-11-23T02:04:39.0344645Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.0344761Z     args.clear()
2022-11-23T02:04:39.0345034Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0345300Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0345564Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.0345796Z     del arg0_1
2022-11-23T02:04:39.0345879Z     del arg1_1
2022-11-23T02:04:39.0346001Z     return (buf0, buf1, )
2022-11-23T02:04:39.0346022Z 
2022-11-23T02:04:39.0346040Z 
2022-11-23T02:04:39.0346160Z if __name__ == "__main__":
2022-11-23T02:04:39.0346326Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0346505Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0346788Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0347058Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0347204Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.0347255Z 
2022-11-23T02:04:39.0347340Z ok (2.673s)
2022-11-23T02:04:39.0347758Z   test_expand_as_cpu (__main__.CpuTests) ... [2022-11-23 01:53:49,431] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0348187Z [2022-11-23 01:53:49,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0348495Z [2022-11-23 01:53:49,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0348900Z [2022-11-23 01:53:49,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0349289Z [2022-11-23 01:53:49,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0349720Z [2022-11-23 01:53:49,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0350191Z [2022-11-23 01:53:49,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0350624Z [2022-11-23 01:53:49,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0351136Z [2022-11-23 01:53:49,433] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8b470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3436> 
2022-11-23T02:04:39.0351260Z  3437           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.0351409Z                2 LOAD_METHOD              1 (expand_as)
2022-11-23T02:04:39.0351551Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0351692Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.0351822Z                8 CALL_METHOD              2
2022-11-23T02:04:39.0351965Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.0352112Z               12 LOAD_METHOD              1 (expand_as)
2022-11-23T02:04:39.0352225Z               14 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0352364Z               16 LOAD_CONST               1 (1)
2022-11-23T02:04:39.0352478Z               18 BINARY_ADD
2022-11-23T02:04:39.0352612Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:39.0352742Z               22 LOAD_CONST               1 (1)
2022-11-23T02:04:39.0352854Z               24 BINARY_ADD
2022-11-23T02:04:39.0352993Z               26 CALL_METHOD              2
2022-11-23T02:04:39.0353104Z               28 LOAD_CONST               1 (1)
2022-11-23T02:04:39.0353218Z               30 BINARY_ADD
2022-11-23T02:04:39.0353353Z               32 BUILD_TUPLE              2
2022-11-23T02:04:39.0353472Z               34 RETURN_VALUE
2022-11-23T02:04:39.0353576Z  
2022-11-23T02:04:39.0353595Z 
2022-11-23T02:04:39.0354027Z [2022-11-23 01:53:49,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3437
2022-11-23T02:04:39.0354332Z [2022-11-23 01:53:49,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.0354762Z [2022-11-23 01:53:49,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.0355172Z [2022-11-23 01:53:49,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.expand_as)]
2022-11-23T02:04:39.0355569Z [2022-11-23 01:53:49,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T02:04:39.0356002Z [2022-11-23 01:53:49,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0356343Z [2022-11-23 01:53:49,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.0356805Z [2022-11-23 01:53:49,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.0357193Z [2022-11-23 01:53:49,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.expand_as)]
2022-11-23T02:04:39.0357625Z [2022-11-23 01:53:49,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T02:04:39.0358161Z [2022-11-23 01:53:49,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0358587Z [2022-11-23 01:53:49,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T02:04:39.0359049Z [2022-11-23 01:53:49,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0359571Z [2022-11-23 01:53:49,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0360045Z [2022-11-23 01:53:49,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0360399Z [2022-11-23 01:53:49,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0360824Z [2022-11-23 01:53:49,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0361195Z [2022-11-23 01:53:49,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0361534Z [2022-11-23 01:53:49,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0362041Z [2022-11-23 01:53:49,459] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8b470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3436>
2022-11-23T02:04:39.0362386Z [2022-11-23 01:53:49,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0362712Z [2022-11-23 01:53:49,459] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0363069Z [2022-11-23 01:53:49,461] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0363416Z [2022-11-23 01:53:49,471] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0363683Z [2022-11-23 01:53:49,472] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0363856Z  __compiled_fn_171 <eval_with_key>.1490 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0363997Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0364128Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.0364309Z call_function, expand_as, aten.expand_as, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.0364654Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.0364902Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T02:04:39.0365090Z call_function, expand_as_1, aten.expand_as, (add, add_1), {}
2022-11-23T02:04:39.0365331Z call_function, add_2, <built-in function add>, (expand_as_1, 1), {}
2022-11-23T02:04:39.0365501Z output, output, output, ((expand_as, add_2),), {}
2022-11-23T02:04:39.0365522Z 
2022-11-23T02:04:39.0365971Z [2022-11-23 01:53:49,472] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0366114Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0366251Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0366383Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0366525Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0366659Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0366779Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0366896Z              12 RETURN_VALUE
2022-11-23T02:04:39.0366915Z 
2022-11-23T02:04:39.0367019Z  
2022-11-23T02:04:39.0367507Z [2022-11-23 01:53:49,473] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0367673Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_171)
2022-11-23T02:04:39.0367808Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0367945Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0368066Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0368175Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0368306Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0368428Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.0368563Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.0368718Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0368869Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0369004Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0369099Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.0369251Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0369383Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0369501Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.0369635Z              30 BUILD_TUPLE              2
2022-11-23T02:04:39.0369751Z              32 RETURN_VALUE
2022-11-23T02:04:39.0369772Z 
2022-11-23T02:04:39.0369866Z  
2022-11-23T02:04:39.0370110Z [2022-11-23 01:53:49,474] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0370221Z  - 
2022-11-23T02:04:39.0370391Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0370490Z             {
2022-11-23T02:04:39.0370690Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0370956Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.0371125Z                 'obj_weakref': None
2022-11-23T02:04:39.0371417Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0371522Z             }
2022-11-23T02:04:39.0371623Z             
2022-11-23T02:04:39.0371732Z  - 
2022-11-23T02:04:39.0371909Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0372008Z             {
2022-11-23T02:04:39.0372209Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0372345Z                 'code': None,
2022-11-23T02:04:39.0372632Z                 'obj_weakref': <weakref at 0x7fa550099e40; to 'Tensor' at 0x7fa5322241d0>
2022-11-23T02:04:39.0372977Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0373072Z             }
2022-11-23T02:04:39.0373174Z             
2022-11-23T02:04:39.0373351Z  - 
2022-11-23T02:04:39.0373528Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.0373606Z             {
2022-11-23T02:04:39.0373806Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0373960Z                 'code': None,
2022-11-23T02:04:39.0374311Z                 'obj_weakref': <weakref at 0x7fa53c4fcb30; to 'Tensor' at 0x7fa5504e9f80>
2022-11-23T02:04:39.0374655Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0374754Z             }
2022-11-23T02:04:39.0374848Z             
2022-11-23T02:04:39.0374935Z  - 
2022-11-23T02:04:39.0375117Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0375214Z             {
2022-11-23T02:04:39.0375404Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0375639Z                 'code': ['___check_obj_id(model, 140347991896800)'],
2022-11-23T02:04:39.0375808Z                 'obj_weakref': None
2022-11-23T02:04:39.0376677Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0376835Z             }
2022-11-23T02:04:39.0376986Z             
2022-11-23T02:04:39.0377200Z  - 
2022-11-23T02:04:39.0377491Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0377827Z             {
2022-11-23T02:04:39.0378186Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0378571Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0378724Z                 'obj_weakref': None
2022-11-23T02:04:39.0379029Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0379125Z             }
2022-11-23T02:04:39.0379220Z             
2022-11-23T02:04:39.0379326Z  - 
2022-11-23T02:04:39.0379508Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.0379604Z             {
2022-11-23T02:04:39.0379754Z                 'guard_types': None,
2022-11-23T02:04:39.0379914Z                 'code': None,
2022-11-23T02:04:39.0380081Z                 'obj_weakref': None
2022-11-23T02:04:39.0380250Z                 'guarded_class': None
2022-11-23T02:04:39.0380345Z             }
2022-11-23T02:04:39.0380440Z             
2022-11-23T02:04:39.0380803Z [2022-11-23 01:53:49,488] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 170
2022-11-23T02:04:39.0381274Z [2022-11-23 01:53:52,067] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5l/c5ll6g24mijnfhsa2gts5una2jjawd2w7dfcfubil34heutclial.py
2022-11-23T02:04:39.0381631Z [2022-11-23 01:53:52,067] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 170
2022-11-23T02:04:39.0381653Z 
2022-11-23T02:04:39.0381790Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0381895Z import torch
2022-11-23T02:04:39.0382003Z import random
2022-11-23T02:04:39.0382166Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0382341Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0382366Z 
2022-11-23T02:04:39.0382483Z aten = torch.ops.aten
2022-11-23T02:04:39.0382652Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0382785Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0382808Z 
2022-11-23T02:04:39.0382827Z 
2022-11-23T02:04:39.0383017Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0383297Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0383468Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.0383615Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.0383709Z {
2022-11-23T02:04:39.0383850Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0383925Z     {
2022-11-23T02:04:39.0384057Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.0384177Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T02:04:39.0384272Z         {
2022-11-23T02:04:39.0384504Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T02:04:39.0384602Z             {
2022-11-23T02:04:39.0384714Z                 for(long i2=0; i2<12; i2+=1)
2022-11-23T02:04:39.0384814Z                 {
2022-11-23T02:04:39.0385050Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (100*i0));
2022-11-23T02:04:39.0385244Z                     auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.0385378Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.0385511Z                     auto tmp3 = tmp2 + tmp1;
2022-11-23T02:04:39.0385671Z                     tmp3.store(out_ptr0 + (8*i2) + (100*i1) + (12800*i0));
2022-11-23T02:04:39.0385769Z                 }
2022-11-23T02:04:39.0385889Z                 #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.0386021Z                 for(long i2=96; i2<100; i2+=1)
2022-11-23T02:04:39.0386120Z                 {
2022-11-23T02:04:39.0386264Z                     auto tmp0 = in_ptr0[i2 + (100*i0)];
2022-11-23T02:04:39.0386425Z                     auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.0386560Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.0386691Z                     auto tmp3 = tmp2 + tmp1;
2022-11-23T02:04:39.0386922Z                     out_ptr0[i2 + (100*i1) + (12800*i0)] = tmp3;
2022-11-23T02:04:39.0387027Z                 }
2022-11-23T02:04:39.0387122Z             }
2022-11-23T02:04:39.0387216Z         }
2022-11-23T02:04:39.0387310Z     }
2022-11-23T02:04:39.0387402Z }
2022-11-23T02:04:39.0387529Z ''')
2022-11-23T02:04:39.0387550Z 
2022-11-23T02:04:39.0387569Z 
2022-11-23T02:04:39.0387683Z async_compile.wait(globals())
2022-11-23T02:04:39.0387793Z del async_compile
2022-11-23T02:04:39.0387812Z 
2022-11-23T02:04:39.0387918Z def call(args):
2022-11-23T02:04:39.0388031Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.0388138Z     args.clear()
2022-11-23T02:04:39.0388432Z     buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0388627Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.0388793Z     return (as_strided(arg0_1, (6, 128, 100), (100, 0, 1)), buf0, )
2022-11-23T02:04:39.0388813Z 
2022-11-23T02:04:39.0388832Z 
2022-11-23T02:04:39.0388930Z if __name__ == "__main__":
2022-11-23T02:04:39.0389092Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0389268Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0389556Z     arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0389847Z     arg1_1 = rand_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0390010Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.0390030Z 
2022-11-23T02:04:39.0390130Z ok (2.646s)
2022-11-23T02:04:39.0390539Z   test_expand_cpu (__main__.CpuTests) ... [2022-11-23 01:53:52,076] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0391038Z [2022-11-23 01:53:52,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0391342Z [2022-11-23 01:53:52,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0391685Z [2022-11-23 01:53:52,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0392060Z [2022-11-23 01:53:52,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0392491Z [2022-11-23 01:53:52,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0392957Z [2022-11-23 01:53:52,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0393461Z [2022-11-23 01:53:52,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0393963Z [2022-11-23 01:53:52,077] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641131d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1260> 
2022-11-23T02:04:39.0394100Z  1262           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0394232Z                2 LOAD_CONST               1 (1)
2022-11-23T02:04:39.0394325Z                4 BINARY_ADD
2022-11-23T02:04:39.0394463Z                6 LOAD_METHOD              0 (expand)
2022-11-23T02:04:39.0394593Z                8 LOAD_CONST               2 (3)
2022-11-23T02:04:39.0394723Z               10 LOAD_CONST               3 (4)
2022-11-23T02:04:39.0394850Z               12 LOAD_CONST               4 (2)
2022-11-23T02:04:39.0394979Z               14 LOAD_CONST               2 (3)
2022-11-23T02:04:39.0395104Z               16 LOAD_CONST               4 (2)
2022-11-23T02:04:39.0395218Z               18 CALL_METHOD              5
2022-11-23T02:04:39.0395347Z               20 LOAD_CONST               4 (2)
2022-11-23T02:04:39.0395537Z               22 BINARY_ADD
2022-11-23T02:04:39.0395557Z 
2022-11-23T02:04:39.0395731Z 1263          24 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0395876Z               26 LOAD_METHOD              0 (expand)
2022-11-23T02:04:39.0396003Z               28 LOAD_CONST               4 (2)
2022-11-23T02:04:39.0396130Z               30 LOAD_CONST               1 (1)
2022-11-23T02:04:39.0396256Z               32 LOAD_CONST               4 (2)
2022-11-23T02:04:39.0396367Z               34 LOAD_CONST               2 (3)
2022-11-23T02:04:39.0396496Z               36 LOAD_CONST               4 (2)
2022-11-23T02:04:39.0396627Z               38 CALL_METHOD              5
2022-11-23T02:04:39.0396754Z               40 LOAD_CONST               4 (2)
2022-11-23T02:04:39.0396862Z               42 BINARY_ADD
2022-11-23T02:04:39.0396886Z 
2022-11-23T02:04:39.0397017Z 1261          44 BUILD_TUPLE              2
2022-11-23T02:04:39.0397036Z 
2022-11-23T02:04:39.0397163Z 1264          46 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0397281Z               48 LOAD_METHOD              0 (expand)
2022-11-23T02:04:39.0397418Z               50 LOAD_CONST               4 (2)
2022-11-23T02:04:39.0397622Z               52 LOAD_CONST               5 (-1)
2022-11-23T02:04:39.0397748Z               54 LOAD_CONST               6 (5)
2022-11-23T02:04:39.0397939Z               56 LOAD_CONST               5 (-1)
2022-11-23T02:04:39.0398067Z               58 CALL_METHOD              4
2022-11-23T02:04:39.0398086Z 
2022-11-23T02:04:39.0398215Z 1261          60 BUILD_TUPLE              2
2022-11-23T02:04:39.0398329Z               62 RETURN_VALUE
2022-11-23T02:04:39.0398404Z  
2022-11-23T02:04:39.0398423Z 
2022-11-23T02:04:39.0398848Z [2022-11-23 01:53:52,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1262
2022-11-23T02:04:39.0399142Z [2022-11-23 01:53:52,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.0399474Z [2022-11-23 01:53:52,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:39.0399868Z [2022-11-23 01:53:52,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0400207Z [2022-11-23 01:53:52,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable()]
2022-11-23T02:04:39.0400584Z [2022-11-23 01:53:52,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), expand)]
2022-11-23T02:04:39.0401006Z [2022-11-23 01:53:52,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T02:04:39.0401474Z [2022-11-23 01:53:52,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.0402083Z [2022-11-23 01:53:52,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.0402629Z [2022-11-23 01:53:52,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.0403255Z [2022-11-23 01:53:52,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.0403581Z [2022-11-23 01:53:52,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:39.0403967Z [2022-11-23 01:53:52,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0404459Z [2022-11-23 01:53:52,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1263
2022-11-23T02:04:39.0404790Z [2022-11-23 01:53:52,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:39.0405160Z [2022-11-23 01:53:52,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0405573Z [2022-11-23 01:53:52,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T02:04:39.0406029Z [2022-11-23 01:53:52,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T02:04:39.0406538Z [2022-11-23 01:53:52,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.0407109Z [2022-11-23 01:53:52,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.0407714Z [2022-11-23 01:53:52,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.0408377Z [2022-11-23 01:53:52,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.0408718Z [2022-11-23 01:53:52,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0409148Z [2022-11-23 01:53:52,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0409575Z [2022-11-23 01:53:52,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1261
2022-11-23T02:04:39.0409942Z [2022-11-23 01:53:52,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0410364Z [2022-11-23 01:53:52,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1264
2022-11-23T02:04:39.0410685Z [2022-11-23 01:53:52,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TupleVariable()]
2022-11-23T02:04:39.0411053Z [2022-11-23 01:53:52,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TupleVariable(), TensorVariable()]
2022-11-23T02:04:39.0411538Z [2022-11-23 01:53:52,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TupleVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T02:04:39.0412008Z [2022-11-23 01:53:52,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T02:04:39.0412518Z [2022-11-23 01:53:52,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.0413086Z [2022-11-23 01:53:52,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.0413698Z [2022-11-23 01:53:52,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.0414176Z [2022-11-23 01:53:52,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1261
2022-11-23T02:04:39.0414547Z [2022-11-23 01:53:52,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TupleVariable(), TensorVariable()]
2022-11-23T02:04:39.0414883Z [2022-11-23 01:53:52,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0415388Z [2022-11-23 01:53:52,093] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641131d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1260>
2022-11-23T02:04:39.0415723Z [2022-11-23 01:53:52,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0416527Z [2022-11-23 01:53:52,093] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0417143Z [2022-11-23 01:53:52,095] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0417569Z [2022-11-23 01:53:52,103] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0417832Z [2022-11-23 01:53:52,104] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0418021Z  __compiled_fn_172 <eval_with_key>.1496 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0418135Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0418373Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.0418534Z call_method, expand, expand, (add, 3, 4, 2, 3, 2), {}
2022-11-23T02:04:39.0418781Z call_function, add_1, <built-in function add>, (expand, 2), {}
2022-11-23T02:04:39.0418942Z call_method, expand_1, expand, (ex_0_, 2, 1, 2, 3, 2), {}
2022-11-23T02:04:39.0419196Z call_function, add_2, <built-in function add>, (expand_1, 2), {}
2022-11-23T02:04:39.0419424Z call_method, expand_2, expand, (ex_0_, 2, -1, 5, -1), {}
2022-11-23T02:04:39.0419568Z output, output, output, ((add_1, add_2, expand_2),), {}
2022-11-23T02:04:39.0419590Z 
2022-11-23T02:04:39.0420040Z [2022-11-23 01:53:52,104] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0420178Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0420310Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0420439Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0420577Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0420705Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0420834Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0420929Z              12 RETURN_VALUE
2022-11-23T02:04:39.0420949Z 
2022-11-23T02:04:39.0421220Z  
2022-11-23T02:04:39.0421663Z [2022-11-23 01:53:52,105] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0421851Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_172)
2022-11-23T02:04:39.0421959Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0422093Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0422242Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0422337Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.0422469Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0422612Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0422742Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0422860Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.0423009Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0423142Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0423261Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.0423372Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.0423515Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0423735Z              28 LOAD_CONST               3 (2)
2022-11-23T02:04:39.0423859Z              30 BINARY_SUBSCR
2022-11-23T02:04:39.0423989Z              32 BUILD_TUPLE              2
2022-11-23T02:04:39.0424102Z              34 RETURN_VALUE
2022-11-23T02:04:39.0424122Z 
2022-11-23T02:04:39.0424215Z  
2022-11-23T02:04:39.0424459Z [2022-11-23 01:53:52,106] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0424566Z  - 
2022-11-23T02:04:39.0424737Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0424836Z             {
2022-11-23T02:04:39.0425038Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0425297Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.0425473Z                 'obj_weakref': None
2022-11-23T02:04:39.0425761Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0425863Z             }
2022-11-23T02:04:39.0425960Z             
2022-11-23T02:04:39.0426069Z  - 
2022-11-23T02:04:39.0426250Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0426350Z             {
2022-11-23T02:04:39.0426552Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0426687Z                 'code': None,
2022-11-23T02:04:39.0426980Z                 'obj_weakref': <weakref at 0x7fa550098cc0; to 'Tensor' at 0x7fa53c48cc20>
2022-11-23T02:04:39.0427327Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0427429Z             }
2022-11-23T02:04:39.0427526Z             
2022-11-23T02:04:39.0427632Z  - 
2022-11-23T02:04:39.0427815Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0427893Z             {
2022-11-23T02:04:39.0428103Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0428339Z                 'code': ['___check_obj_id(model, 140347991896800)'],
2022-11-23T02:04:39.0428513Z                 'obj_weakref': None
2022-11-23T02:04:39.0428826Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0428930Z             }
2022-11-23T02:04:39.0429027Z             
2022-11-23T02:04:39.0429116Z  - 
2022-11-23T02:04:39.0429286Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0429381Z             {
2022-11-23T02:04:39.0429570Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0429869Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0430041Z                 'obj_weakref': None
2022-11-23T02:04:39.0430341Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0430418Z             }
2022-11-23T02:04:39.0430621Z             
2022-11-23T02:04:39.0430984Z [2022-11-23 01:53:52,121] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 171
2022-11-23T02:04:39.0431477Z [2022-11-23 01:53:54,767] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/r7/cr7x7p7czpueke7t2txnkhgbljrfbk5f2xw3z43k6in3cezjgrnh.py
2022-11-23T02:04:39.0431882Z [2022-11-23 01:53:54,767] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 171
2022-11-23T02:04:39.0431882Z 
2022-11-23T02:04:39.0432039Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0432134Z import torch
2022-11-23T02:04:39.0432223Z import random
2022-11-23T02:04:39.0432369Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0432541Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0432560Z 
2022-11-23T02:04:39.0432678Z aten = torch.ops.aten
2022-11-23T02:04:39.0432908Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0433039Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0433039Z 
2022-11-23T02:04:39.0433047Z 
2022-11-23T02:04:39.0433239Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0433590Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0433760Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.0433916Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.0434030Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.0434123Z {
2022-11-23T02:04:39.0434267Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0434366Z     {
2022-11-23T02:04:39.0434507Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.0434626Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:39.0434705Z         {
2022-11-23T02:04:39.0434836Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T02:04:39.0434933Z             {
2022-11-23T02:04:39.0435054Z                 #pragma GCC ivdep
2022-11-23T02:04:39.0435191Z                 for(long i2=0; i2<3; i2+=1)
2022-11-23T02:04:39.0435288Z                 {
2022-11-23T02:04:39.0435410Z                     #pragma GCC ivdep
2022-11-23T02:04:39.0435523Z                     for(long i3=0; i3<2; i3+=1)
2022-11-23T02:04:39.0435630Z                     {
2022-11-23T02:04:39.0435735Z                         {
2022-11-23T02:04:39.0435839Z                             {
2022-11-23T02:04:39.0435991Z                                 auto tmp0 = in_ptr0[i3 + (2*i1)];
2022-11-23T02:04:39.0436151Z                                 auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.0436294Z                                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.0436431Z                                 auto tmp3 = static_cast<float>(2);
2022-11-23T02:04:39.0436571Z                                 auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.0436731Z                                 out_ptr0[i3 + (2*i2) + (6*i1) + (12*i0)] = tmp4;
2022-11-23T02:04:39.0436839Z                             }
2022-11-23T02:04:39.0436939Z                         }
2022-11-23T02:04:39.0437037Z                     }
2022-11-23T02:04:39.0437135Z                 }
2022-11-23T02:04:39.0437212Z             }
2022-11-23T02:04:39.0437307Z         }
2022-11-23T02:04:39.0437439Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.0437557Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.0437651Z         {
2022-11-23T02:04:39.0437772Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T02:04:39.0437872Z             {
2022-11-23T02:04:39.0437976Z                 #pragma GCC ivdep
2022-11-23T02:04:39.0438105Z                 for(long i2=0; i2<3; i2+=1)
2022-11-23T02:04:39.0438202Z                 {
2022-11-23T02:04:39.0438325Z                     #pragma GCC ivdep
2022-11-23T02:04:39.0438457Z                     for(long i3=0; i3<2; i3+=1)
2022-11-23T02:04:39.0438556Z                     {
2022-11-23T02:04:39.0438637Z                         {
2022-11-23T02:04:39.0438803Z                             {
2022-11-23T02:04:39.0438955Z                                 auto tmp0 = in_ptr0[i3 + (2*i1)];
2022-11-23T02:04:39.0439113Z                                 auto tmp1 = static_cast<float>(2);
2022-11-23T02:04:39.0439260Z                                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.0439419Z                                 out_ptr1[i3 + (2*i2) + (6*i1) + (12*i0)] = tmp2;
2022-11-23T02:04:39.0439524Z                             }
2022-11-23T02:04:39.0439630Z                         }
2022-11-23T02:04:39.0439711Z                     }
2022-11-23T02:04:39.0439807Z                 }
2022-11-23T02:04:39.0439903Z             }
2022-11-23T02:04:39.0439999Z         }
2022-11-23T02:04:39.0440093Z     }
2022-11-23T02:04:39.0440185Z }
2022-11-23T02:04:39.0440300Z ''')
2022-11-23T02:04:39.0440320Z 
2022-11-23T02:04:39.0440356Z 
2022-11-23T02:04:39.0440471Z async_compile.wait(globals())
2022-11-23T02:04:39.0440581Z del async_compile
2022-11-23T02:04:39.0440605Z 
2022-11-23T02:04:39.0440710Z def call(args):
2022-11-23T02:04:39.0440815Z     arg0_1, = args
2022-11-23T02:04:39.0440924Z     args.clear()
2022-11-23T02:04:39.0441228Z     buf0 = empty_strided((3, 4, 2, 3, 2), (48, 12, 6, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0441592Z     buf1 = empty_strided((2, 1, 2, 3, 2), (12, 24, 6, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0441810Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.0441978Z     return (buf0, buf1, as_strided(arg0_1, (2, 2, 5, 2), (0, 2, 0, 1)), )
2022-11-23T02:04:39.0441998Z 
2022-11-23T02:04:39.0442017Z 
2022-11-23T02:04:39.0442132Z if __name__ == "__main__":
2022-11-23T02:04:39.0442293Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0442466Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0442749Z     arg0_1 = rand_strided((2, 1, 2), (2, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0442910Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.0442929Z 
2022-11-23T02:04:39.0443032Z ok (2.698s)
2022-11-23T02:04:39.0443922Z   test_expanded_reduction_cpu (__main__.CpuTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/87157 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T02:04:39.0444326Z   test_fill1_cpu (__main__.CpuTests) ... [2022-11-23 01:53:54,775] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0444784Z [2022-11-23 01:53:54,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0445066Z [2022-11-23 01:53:54,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0445415Z [2022-11-23 01:53:54,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0445753Z [2022-11-23 01:53:54,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0446196Z [2022-11-23 01:53:54,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0446661Z [2022-11-23 01:53:54,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0447102Z [2022-11-23 01:53:54,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0447608Z [2022-11-23 01:53:54,776] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9cf50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2490> 
2022-11-23T02:04:39.0447878Z  2491           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0448022Z                2 LOAD_METHOD              1 (ones_like)
2022-11-23T02:04:39.0448136Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.0448272Z                6 CALL_METHOD              1
2022-11-23T02:04:39.0448408Z                8 STORE_FAST               1 (tmp)
2022-11-23T02:04:39.0448428Z 
2022-11-23T02:04:39.0448562Z 2492          10 LOAD_FAST                1 (tmp)
2022-11-23T02:04:39.0448696Z               12 LOAD_GLOBAL              2 (aten)
2022-11-23T02:04:39.0448827Z               14 LOAD_ATTR                3 (fill)
2022-11-23T02:04:39.0448963Z               16 LOAD_METHOD              4 (Scalar)
2022-11-23T02:04:39.0449075Z               18 LOAD_FAST                1 (tmp)
2022-11-23T02:04:39.0449210Z               20 LOAD_CONST               1 (2)
2022-11-23T02:04:39.0449342Z               22 CALL_METHOD              2
2022-11-23T02:04:39.0449479Z               24 BUILD_TUPLE              2
2022-11-23T02:04:39.0449595Z               26 RETURN_VALUE
2022-11-23T02:04:39.0449691Z  
2022-11-23T02:04:39.0449711Z 
2022-11-23T02:04:39.0450198Z [2022-11-23 01:53:54,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2491
2022-11-23T02:04:39.0450510Z [2022-11-23 01:53:54,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.0450993Z [2022-11-23 01:53:54,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0451435Z [2022-11-23 01:53:54,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method ones_like of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.0451917Z [2022-11-23 01:53:54,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method ones_like of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.0452279Z [2022-11-23 01:53:54,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T02:04:39.0452707Z [2022-11-23 01:53:54,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2492
2022-11-23T02:04:39.0453000Z [2022-11-23 01:53:54,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T02:04:39.0453334Z [2022-11-23 01:53:54,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.0453773Z [2022-11-23 01:53:54,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.0454158Z [2022-11-23 01:53:54,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Scalar [TensorVariable(), TorchVariable(aten.fill)]
2022-11-23T02:04:39.0454555Z [2022-11-23 01:53:54,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(aten.fill.Scalar)]
2022-11-23T02:04:39.0454989Z [2022-11-23 01:53:54,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.fill.Scalar), TensorVariable()]
2022-11-23T02:04:39.0455457Z [2022-11-23 01:53:54,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.fill.Scalar), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0455820Z [2022-11-23 01:53:54,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0456741Z [2022-11-23 01:53:54,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0457311Z [2022-11-23 01:53:54,791] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9cf50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2490>
2022-11-23T02:04:39.0457813Z [2022-11-23 01:53:54,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0458140Z [2022-11-23 01:53:54,791] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0458486Z [2022-11-23 01:53:54,793] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0458824Z [2022-11-23 01:53:54,798] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0459082Z [2022-11-23 01:53:54,799] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0459272Z  __compiled_fn_173 <eval_with_key>.1502 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0459385Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0459712Z call_function, ones_like, <built-in method ones_like of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.0459898Z call_function, fill_scalar, aten.fill.Scalar, (ones_like, 2), {}
2022-11-23T02:04:39.0460072Z output, output, output, ((ones_like, fill_scalar),), {}
2022-11-23T02:04:39.0460093Z 
2022-11-23T02:04:39.0460594Z [2022-11-23 01:53:54,799] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0460740Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0460873Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0461001Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0461115Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0461241Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0461370Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0461483Z              12 RETURN_VALUE
2022-11-23T02:04:39.0461503Z 
2022-11-23T02:04:39.0461599Z  
2022-11-23T02:04:39.0462034Z [2022-11-23 01:53:54,799] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0462195Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_173)
2022-11-23T02:04:39.0462327Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0462448Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0462562Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0462688Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.0462837Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0462981Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0463115Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0463228Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.0463355Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0463486Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0463598Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.0463730Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.0463840Z              26 RETURN_VALUE
2022-11-23T02:04:39.0463860Z 
2022-11-23T02:04:39.0463949Z  
2022-11-23T02:04:39.0464207Z [2022-11-23 01:53:54,801] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0464302Z  - 
2022-11-23T02:04:39.0464472Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0464570Z             {
2022-11-23T02:04:39.0464767Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0465024Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.0465193Z                 'obj_weakref': None
2022-11-23T02:04:39.0465501Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0465580Z             }
2022-11-23T02:04:39.0465675Z             
2022-11-23T02:04:39.0465784Z  - 
2022-11-23T02:04:39.0465960Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0466054Z             {
2022-11-23T02:04:39.0466319Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0466472Z                 'code': None,
2022-11-23T02:04:39.0466738Z                 'obj_weakref': <weakref at 0x7fa53c376890; to 'Tensor' at 0x7fa53222e4d0>
2022-11-23T02:04:39.0467083Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0467181Z             }
2022-11-23T02:04:39.0467277Z             
2022-11-23T02:04:39.0467383Z  - 
2022-11-23T02:04:39.0467566Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0467660Z             {
2022-11-23T02:04:39.0467830Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0468063Z                 'code': ['___check_obj_id(model, 140347991896800)'],
2022-11-23T02:04:39.0468230Z                 'obj_weakref': None
2022-11-23T02:04:39.0468540Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0468641Z             }
2022-11-23T02:04:39.0468734Z             
2022-11-23T02:04:39.0468841Z  - 
2022-11-23T02:04:39.0468996Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0469094Z             {
2022-11-23T02:04:39.0469285Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0469634Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0469812Z                 'obj_weakref': None
2022-11-23T02:04:39.0470116Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0470211Z             }
2022-11-23T02:04:39.0470288Z             
2022-11-23T02:04:39.0470394Z  - 
2022-11-23T02:04:39.0470576Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.0470673Z             {
2022-11-23T02:04:39.0470842Z                 'guard_types': None,
2022-11-23T02:04:39.0470995Z                 'code': None,
2022-11-23T02:04:39.0471165Z                 'obj_weakref': None
2022-11-23T02:04:39.0471323Z                 'guarded_class': None
2022-11-23T02:04:39.0471418Z             }
2022-11-23T02:04:39.0471510Z             
2022-11-23T02:04:39.0471613Z  - 
2022-11-23T02:04:39.0471796Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.0471892Z             {
2022-11-23T02:04:39.0472045Z                 'guard_types': None,
2022-11-23T02:04:39.0472200Z                 'code': None,
2022-11-23T02:04:39.0472368Z                 'obj_weakref': None
2022-11-23T02:04:39.0472533Z                 'guarded_class': None
2022-11-23T02:04:39.0472628Z             }
2022-11-23T02:04:39.0472723Z             
2022-11-23T02:04:39.0473083Z [2022-11-23 01:53:54,811] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 172
2022-11-23T02:04:39.0473544Z [2022-11-23 01:53:57,409] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hu/chupm566om5zx4mglv2k6s5eo37c26ihvovnfatvkdzq24svhgke.py
2022-11-23T02:04:39.0473901Z [2022-11-23 01:53:57,409] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 172
2022-11-23T02:04:39.0473925Z 
2022-11-23T02:04:39.0474059Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0474162Z import torch
2022-11-23T02:04:39.0474268Z import random
2022-11-23T02:04:39.0474436Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0474607Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0474626Z 
2022-11-23T02:04:39.0474805Z aten = torch.ops.aten
2022-11-23T02:04:39.0475039Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0475176Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0475195Z 
2022-11-23T02:04:39.0475214Z 
2022-11-23T02:04:39.0475407Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0475690Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0475849Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T02:04:39.0475989Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.0476148Z {
2022-11-23T02:04:39.0476293Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0476367Z     {
2022-11-23T02:04:39.0476488Z         #pragma omp for 
2022-11-23T02:04:39.0476612Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.0476712Z         {
2022-11-23T02:04:39.0476941Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.0477074Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.0477171Z         }
2022-11-23T02:04:39.0477290Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.0477411Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T02:04:39.0477506Z         {
2022-11-23T02:04:39.0477647Z             auto tmp0 = static_cast<float>(1);
2022-11-23T02:04:39.0477766Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.0477864Z         }
2022-11-23T02:04:39.0477978Z         #pragma omp for 
2022-11-23T02:04:39.0478081Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.0478181Z         {
2022-11-23T02:04:39.0478370Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:39.0478501Z             tmp0.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.0478594Z         }
2022-11-23T02:04:39.0478793Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.0478923Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T02:04:39.0478999Z         {
2022-11-23T02:04:39.0479144Z             auto tmp0 = static_cast<float>(2);
2022-11-23T02:04:39.0479264Z             out_ptr1[i0] = tmp0;
2022-11-23T02:04:39.0479359Z         }
2022-11-23T02:04:39.0479454Z     }
2022-11-23T02:04:39.0479546Z }
2022-11-23T02:04:39.0479653Z ''')
2022-11-23T02:04:39.0479693Z 
2022-11-23T02:04:39.0479711Z 
2022-11-23T02:04:39.0479830Z async_compile.wait(globals())
2022-11-23T02:04:39.0479941Z del async_compile
2022-11-23T02:04:39.0479960Z 
2022-11-23T02:04:39.0480068Z def call(args):
2022-11-23T02:04:39.0480173Z     arg0_1, = args
2022-11-23T02:04:39.0480290Z     args.clear()
2022-11-23T02:04:39.0480566Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0480833Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0481009Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.0481127Z     return (buf0, buf1, )
2022-11-23T02:04:39.0481146Z 
2022-11-23T02:04:39.0481164Z 
2022-11-23T02:04:39.0481278Z if __name__ == "__main__":
2022-11-23T02:04:39.0481440Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0481613Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0481890Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0482046Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.0482065Z 
2022-11-23T02:04:39.0482167Z ok (2.640s)
2022-11-23T02:04:39.0482550Z   test_fill2_cpu (__main__.CpuTests) ... [2022-11-23 01:53:57,416] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0482984Z [2022-11-23 01:53:57,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0483288Z [2022-11-23 01:53:57,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0483632Z [2022-11-23 01:53:57,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0484010Z [2022-11-23 01:53:57,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0484442Z [2022-11-23 01:53:57,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0484911Z [2022-11-23 01:53:57,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0485420Z [2022-11-23 01:53:57,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0485931Z [2022-11-23 01:53:57,417] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9d0b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2500> 
2022-11-23T02:04:39.0486078Z  2501           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0486202Z                2 LOAD_METHOD              1 (ones_like)
2022-11-23T02:04:39.0486337Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.0486467Z                6 CALL_METHOD              1
2022-11-23T02:04:39.0486604Z                8 STORE_FAST               1 (tmp)
2022-11-23T02:04:39.0486625Z 
2022-11-23T02:04:39.0486762Z 2502          10 LOAD_FAST                1 (tmp)
2022-11-23T02:04:39.0486968Z               12 LOAD_GLOBAL              2 (aten)
2022-11-23T02:04:39.0487110Z               14 LOAD_ATTR                3 (fill)
2022-11-23T02:04:39.0487249Z               16 LOAD_METHOD              4 (Tensor)
2022-11-23T02:04:39.0487362Z               18 LOAD_FAST                1 (tmp)
2022-11-23T02:04:39.0487749Z               20 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0487898Z               22 LOAD_METHOD              5 (tensor)
2022-11-23T02:04:39.0488033Z               24 LOAD_CONST               1 (3.0)
2022-11-23T02:04:39.0488163Z               26 CALL_METHOD              1
2022-11-23T02:04:39.0488292Z               28 CALL_METHOD              2
2022-11-23T02:04:39.0488421Z               30 BUILD_TUPLE              2
2022-11-23T02:04:39.0488515Z               32 RETURN_VALUE
2022-11-23T02:04:39.0488611Z  
2022-11-23T02:04:39.0488631Z 
2022-11-23T02:04:39.0489077Z [2022-11-23 01:53:57,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2501
2022-11-23T02:04:39.0489383Z [2022-11-23 01:53:57,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.0489889Z [2022-11-23 01:53:57,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0490329Z [2022-11-23 01:53:57,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method ones_like of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.0490811Z [2022-11-23 01:53:57,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method ones_like of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.0491137Z [2022-11-23 01:53:57,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T02:04:39.0491557Z [2022-11-23 01:53:57,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2502
2022-11-23T02:04:39.0491855Z [2022-11-23 01:53:57,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T02:04:39.0492171Z [2022-11-23 01:53:57,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.0492623Z [2022-11-23 01:53:57,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.0493011Z [2022-11-23 01:53:57,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TensorVariable(), TorchVariable(aten.fill)]
2022-11-23T02:04:39.0493407Z [2022-11-23 01:53:57,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(aten.fill.Tensor)]
2022-11-23T02:04:39.0493843Z [2022-11-23 01:53:57,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable()]
2022-11-23T02:04:39.0494484Z [2022-11-23 01:53:57,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0495180Z [2022-11-23 01:53:57,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.0495809Z [2022-11-23 01:53:57,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(float)]
2022-11-23T02:04:39.0496966Z [2022-11-23 01:53:57,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0497644Z [2022-11-23 01:53:57,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0498190Z [2022-11-23 01:53:57,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0498866Z [2022-11-23 01:53:57,433] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9d0b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2500>
2022-11-23T02:04:39.0499212Z [2022-11-23 01:53:57,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0499511Z [2022-11-23 01:53:57,434] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0499856Z [2022-11-23 01:53:57,436] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0500192Z [2022-11-23 01:53:57,442] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0500462Z [2022-11-23 01:53:57,442] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0500652Z  __compiled_fn_174 <eval_with_key>.1508 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0500785Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0501116Z call_function, ones_like, <built-in method ones_like of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.0501421Z call_function, tensor, <built-in method tensor of type object at 0x7fa5855aec60>, (3.0,), {}
2022-11-23T02:04:39.0501597Z call_function, fill_tensor, aten.fill.Tensor, (ones_like, tensor), {}
2022-11-23T02:04:39.0501762Z output, output, output, ((ones_like, fill_tensor),), {}
2022-11-23T02:04:39.0501783Z 
2022-11-23T02:04:39.0502223Z [2022-11-23 01:53:57,443] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0502362Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0502499Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0502626Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0502762Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0502888Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0503001Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0503114Z              12 RETURN_VALUE
2022-11-23T02:04:39.0503136Z 
2022-11-23T02:04:39.0503228Z  
2022-11-23T02:04:39.0503660Z [2022-11-23 01:53:57,443] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0503818Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_174)
2022-11-23T02:04:39.0503950Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0504083Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0504198Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0504308Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.0504556Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0504701Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0504830Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0504947Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.0505093Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0505221Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0505314Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.0505443Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.0505555Z              26 RETURN_VALUE
2022-11-23T02:04:39.0505575Z 
2022-11-23T02:04:39.0505670Z  
2022-11-23T02:04:39.0505930Z [2022-11-23 01:53:57,444] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0506038Z  - 
2022-11-23T02:04:39.0506207Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0506287Z             {
2022-11-23T02:04:39.0506486Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0506751Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.0506921Z                 'obj_weakref': None
2022-11-23T02:04:39.0507290Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0507394Z             }
2022-11-23T02:04:39.0507490Z             
2022-11-23T02:04:39.0507579Z  - 
2022-11-23T02:04:39.0507760Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0507856Z             {
2022-11-23T02:04:39.0508057Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0508210Z                 'code': None,
2022-11-23T02:04:39.0508501Z                 'obj_weakref': <weakref at 0x7fa55007b4c0; to 'Tensor' at 0x7fa61a793d30>
2022-11-23T02:04:39.0508842Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0508920Z             }
2022-11-23T02:04:39.0509020Z             
2022-11-23T02:04:39.0509127Z  - 
2022-11-23T02:04:39.0509307Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0509408Z             {
2022-11-23T02:04:39.0509598Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0509839Z                 'code': ['___check_obj_id(model, 140347991896800)'],
2022-11-23T02:04:39.0509989Z                 'obj_weakref': None
2022-11-23T02:04:39.0510306Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0510407Z             }
2022-11-23T02:04:39.0510505Z             
2022-11-23T02:04:39.0510614Z  - 
2022-11-23T02:04:39.0510790Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0510885Z             {
2022-11-23T02:04:39.0511055Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0511350Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0511519Z                 'obj_weakref': None
2022-11-23T02:04:39.0511824Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0511922Z             }
2022-11-23T02:04:39.0512018Z             
2022-11-23T02:04:39.0512123Z  - 
2022-11-23T02:04:39.0512292Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.0512394Z             {
2022-11-23T02:04:39.0512563Z                 'guard_types': None,
2022-11-23T02:04:39.0512718Z                 'code': None,
2022-11-23T02:04:39.0512883Z                 'obj_weakref': None
2022-11-23T02:04:39.0513054Z                 'guarded_class': None
2022-11-23T02:04:39.0513151Z             }
2022-11-23T02:04:39.0513229Z             
2022-11-23T02:04:39.0513334Z  - 
2022-11-23T02:04:39.0513520Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.0513617Z             {
2022-11-23T02:04:39.0513788Z                 'guard_types': None,
2022-11-23T02:04:39.0513940Z                 'code': None,
2022-11-23T02:04:39.0514085Z                 'obj_weakref': None
2022-11-23T02:04:39.0514344Z                 'guarded_class': None
2022-11-23T02:04:39.0514441Z             }
2022-11-23T02:04:39.0514536Z             
2022-11-23T02:04:39.0514898Z [2022-11-23 01:53:57,460] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 173
2022-11-23T02:04:39.0515384Z [2022-11-23 01:54:00,049] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gf/cgfb2sxjifqziu6az7sdy7czgkir34fyd3q5qhasxwf4kvo6s5dc.py
2022-11-23T02:04:39.0515741Z [2022-11-23 01:54:00,049] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 173
2022-11-23T02:04:39.0515763Z 
2022-11-23T02:04:39.0515899Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0515985Z import torch
2022-11-23T02:04:39.0516090Z import random
2022-11-23T02:04:39.0516251Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0516420Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0516443Z 
2022-11-23T02:04:39.0516559Z aten = torch.ops.aten
2022-11-23T02:04:39.0516743Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0516876Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0516895Z 
2022-11-23T02:04:39.0516915Z 
2022-11-23T02:04:39.0517159Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0517425Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0517586Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T02:04:39.0517725Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.0517818Z {
2022-11-23T02:04:39.0517957Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0518053Z     {
2022-11-23T02:04:39.0518170Z         #pragma omp for 
2022-11-23T02:04:39.0518273Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.0518370Z         {
2022-11-23T02:04:39.0518602Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.0518740Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.0518840Z         }
2022-11-23T02:04:39.0518977Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.0519100Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T02:04:39.0519177Z         {
2022-11-23T02:04:39.0519325Z             auto tmp0 = static_cast<float>(1);
2022-11-23T02:04:39.0519444Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.0519541Z         }
2022-11-23T02:04:39.0519653Z         #pragma omp for 
2022-11-23T02:04:39.0519773Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.0519864Z         {
2022-11-23T02:04:39.0520041Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(3.0));
2022-11-23T02:04:39.0520177Z             tmp0.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.0520273Z         }
2022-11-23T02:04:39.0520412Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.0520533Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T02:04:39.0520628Z         {
2022-11-23T02:04:39.0520780Z             auto tmp0 = static_cast<float>(3.0);
2022-11-23T02:04:39.0520879Z             out_ptr1[i0] = tmp0;
2022-11-23T02:04:39.0520971Z         }
2022-11-23T02:04:39.0521068Z     }
2022-11-23T02:04:39.0521159Z }
2022-11-23T02:04:39.0521287Z ''')
2022-11-23T02:04:39.0521307Z 
2022-11-23T02:04:39.0521329Z 
2022-11-23T02:04:39.0521462Z async_compile.wait(globals())
2022-11-23T02:04:39.0521571Z del async_compile
2022-11-23T02:04:39.0521590Z 
2022-11-23T02:04:39.0521681Z def call(args):
2022-11-23T02:04:39.0521787Z     arg0_1, = args
2022-11-23T02:04:39.0521893Z     args.clear()
2022-11-23T02:04:39.0522172Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0522443Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0522633Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.0522751Z     return (buf0, buf1, )
2022-11-23T02:04:39.0522771Z 
2022-11-23T02:04:39.0522859Z 
2022-11-23T02:04:39.0522980Z if __name__ == "__main__":
2022-11-23T02:04:39.0523122Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0523295Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0523577Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0523734Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.0523755Z 
2022-11-23T02:04:39.0523856Z ok (2.640s)
2022-11-23T02:04:39.0524262Z   test_flip_cpu (__main__.CpuTests) ... [2022-11-23 01:54:00,056] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0524691Z [2022-11-23 01:54:00,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0524990Z [2022-11-23 01:54:00,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0525315Z [2022-11-23 01:54:00,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0525692Z [2022-11-23 01:54:00,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0526171Z [2022-11-23 01:54:00,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0526642Z [2022-11-23 01:54:00,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0527222Z [2022-11-23 01:54:00,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0527730Z [2022-11-23 01:54:00,057] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9e340, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2647> 
2022-11-23T02:04:39.0527878Z  2648           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0528015Z                2 LOAD_METHOD              1 (flip)
2022-11-23T02:04:39.0528151Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.0528351Z                6 LOAD_CONST               1 ((-1,))
2022-11-23T02:04:39.0528462Z                8 CALL_METHOD              2
2022-11-23T02:04:39.0528598Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0528733Z               12 LOAD_METHOD              1 (flip)
2022-11-23T02:04:39.0528861Z               14 LOAD_FAST                0 (x)
2022-11-23T02:04:39.0528997Z               16 LOAD_CONST               2 ((0, 2))
2022-11-23T02:04:39.0529127Z               18 CALL_METHOD              2
2022-11-23T02:04:39.0529258Z               20 LOAD_CONST               3 (2)
2022-11-23T02:04:39.0529357Z               22 BINARY_SUBTRACT
2022-11-23T02:04:39.0529483Z               24 BUILD_TUPLE              2
2022-11-23T02:04:39.0529597Z               26 RETURN_VALUE
2022-11-23T02:04:39.0529692Z  
2022-11-23T02:04:39.0529712Z 
2022-11-23T02:04:39.0530147Z [2022-11-23 01:54:00,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2648
2022-11-23T02:04:39.0530454Z [2022-11-23 01:54:00,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.0530941Z [2022-11-23 01:54:00,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR flip [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0531372Z [2022-11-23 01:54:00,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method flip of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.0531854Z [2022-11-23 01:54:00,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (-1,) [TorchVariable(<built-in method flip of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.0532357Z [2022-11-23 01:54:00,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method flip of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:39.0532775Z [2022-11-23 01:54:00,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.0533333Z [2022-11-23 01:54:00,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR flip [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0533759Z [2022-11-23 01:54:00,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.0534266Z [2022-11-23 01:54:00,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 2) [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.0534837Z [2022-11-23 01:54:00,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:39.0535249Z [2022-11-23 01:54:00,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0535680Z [2022-11-23 01:54:00,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0536454Z [2022-11-23 01:54:00,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0537080Z [2022-11-23 01:54:00,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0537615Z [2022-11-23 01:54:00,065] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9e340, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2647>
2022-11-23T02:04:39.0537956Z [2022-11-23 01:54:00,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0538259Z [2022-11-23 01:54:00,065] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0538606Z [2022-11-23 01:54:00,067] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0538944Z [2022-11-23 01:54:00,073] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0539201Z [2022-11-23 01:54:00,074] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0539387Z  __compiled_fn_175 <eval_with_key>.1514 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0539519Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0539837Z call_function, flip, <built-in method flip of type object at 0x7fa5855aec60>, (ex_0_, (-1,)), {}
2022-11-23T02:04:39.0540163Z call_function, flip_1, <built-in method flip of type object at 0x7fa5855aec60>, (ex_0_, (0, 2)), {}
2022-11-23T02:04:39.0540384Z call_function, sub, <built-in function sub>, (flip_1, 2), {}
2022-11-23T02:04:39.0540532Z output, output, output, ((flip, sub),), {}
2022-11-23T02:04:39.0540552Z 
2022-11-23T02:04:39.0540988Z [2022-11-23 01:54:00,074] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0541125Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0541256Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0541384Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0541519Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0541643Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0541752Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0541865Z              12 RETURN_VALUE
2022-11-23T02:04:39.0542026Z 
2022-11-23T02:04:39.0542123Z  
2022-11-23T02:04:39.0542563Z [2022-11-23 01:54:00,075] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0542723Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_175)
2022-11-23T02:04:39.0542855Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0542986Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0543102Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0543210Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.0543361Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0543508Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0543639Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0543754Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.0543897Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0544032Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0544126Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.0544252Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.0544362Z              26 RETURN_VALUE
2022-11-23T02:04:39.0544382Z 
2022-11-23T02:04:39.0544477Z  
2022-11-23T02:04:39.0544801Z [2022-11-23 01:54:00,076] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0544921Z  - 
2022-11-23T02:04:39.0545093Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0545173Z             {
2022-11-23T02:04:39.0545374Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0545630Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.0545802Z                 'obj_weakref': None
2022-11-23T02:04:39.0546109Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0546208Z             }
2022-11-23T02:04:39.0546305Z             
2022-11-23T02:04:39.0546398Z  - 
2022-11-23T02:04:39.0546576Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0546674Z             {
2022-11-23T02:04:39.0546877Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0547031Z                 'code': None,
2022-11-23T02:04:39.0547324Z                 'obj_weakref': <weakref at 0x7fa5500c5850; to 'Tensor' at 0x7fa53c48cc20>
2022-11-23T02:04:39.0547668Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0547747Z             }
2022-11-23T02:04:39.0547845Z             
2022-11-23T02:04:39.0547951Z  - 
2022-11-23T02:04:39.0548137Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0548233Z             {
2022-11-23T02:04:39.0548423Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0548653Z                 'code': ['___check_obj_id(model, 140347657466304)'],
2022-11-23T02:04:39.0548804Z                 'obj_weakref': None
2022-11-23T02:04:39.0549115Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0549219Z             }
2022-11-23T02:04:39.0549315Z             
2022-11-23T02:04:39.0549425Z  - 
2022-11-23T02:04:39.0549599Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0549700Z             {
2022-11-23T02:04:39.0549871Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0550166Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0550333Z                 'obj_weakref': None
2022-11-23T02:04:39.0550638Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0550734Z             }
2022-11-23T02:04:39.0550829Z             
2022-11-23T02:04:39.0550933Z  - 
2022-11-23T02:04:39.0551101Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.0551198Z             {
2022-11-23T02:04:39.0551366Z                 'guard_types': None,
2022-11-23T02:04:39.0551586Z                 'code': None,
2022-11-23T02:04:39.0551749Z                 'obj_weakref': None
2022-11-23T02:04:39.0551917Z                 'guarded_class': None
2022-11-23T02:04:39.0552012Z             }
2022-11-23T02:04:39.0552089Z             
2022-11-23T02:04:39.0552444Z [2022-11-23 01:54:00,089] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 174
2022-11-23T02:04:39.0552944Z [2022-11-23 01:54:02,704] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sf/csflzjo2wewhgb6xso3hv53mcb3sylbeopcttyi6ngqftmuwdr5z.py
2022-11-23T02:04:39.0553305Z [2022-11-23 01:54:02,705] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 174
2022-11-23T02:04:39.0553326Z 
2022-11-23T02:04:39.0553461Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0553630Z import torch
2022-11-23T02:04:39.0553795Z import random
2022-11-23T02:04:39.0553959Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0554116Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0554136Z 
2022-11-23T02:04:39.0554254Z aten = torch.ops.aten
2022-11-23T02:04:39.0554441Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0554573Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0554648Z 
2022-11-23T02:04:39.0554668Z 
2022-11-23T02:04:39.0554864Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0555144Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0555315Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.0555458Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.0555578Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.0555673Z {
2022-11-23T02:04:39.0555815Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0555908Z     {
2022-11-23T02:04:39.0556027Z         #pragma omp for 
2022-11-23T02:04:39.0556147Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:39.0556247Z         {
2022-11-23T02:04:39.0556349Z             #pragma GCC ivdep
2022-11-23T02:04:39.0556472Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T02:04:39.0556570Z             {
2022-11-23T02:04:39.0556668Z                 {
2022-11-23T02:04:39.0556773Z                     {
2022-11-23T02:04:39.0557012Z                         auto tmp0 = in_ptr0[5 + ((-1)*i1) + (6*i0)];
2022-11-23T02:04:39.0557133Z                         out_ptr0[i1 + (6*i0)] = tmp0;
2022-11-23T02:04:39.0557235Z                     }
2022-11-23T02:04:39.0557333Z                 }
2022-11-23T02:04:39.0557432Z             }
2022-11-23T02:04:39.0557527Z         }
2022-11-23T02:04:39.0557659Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.0557779Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.0557856Z         {
2022-11-23T02:04:39.0557975Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T02:04:39.0558074Z             {
2022-11-23T02:04:39.0558193Z                 #pragma GCC ivdep
2022-11-23T02:04:39.0558324Z                 for(long i2=0; i2<6; i2+=1)
2022-11-23T02:04:39.0558421Z                 {
2022-11-23T02:04:39.0558522Z                     {
2022-11-23T02:04:39.0558606Z                         {
2022-11-23T02:04:39.0558864Z                             auto tmp0 = in_ptr0[30 + i1 + ((-6)*i2) + (36*i0)];
2022-11-23T02:04:39.0559024Z                             auto tmp1 = static_cast<float>(2);
2022-11-23T02:04:39.0559231Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.0559382Z                             out_ptr1[i2 + (6*i1) + (36*i0)] = tmp2;
2022-11-23T02:04:39.0559490Z                         }
2022-11-23T02:04:39.0559594Z                     }
2022-11-23T02:04:39.0559672Z                 }
2022-11-23T02:04:39.0559769Z             }
2022-11-23T02:04:39.0559863Z         }
2022-11-23T02:04:39.0559956Z     }
2022-11-23T02:04:39.0560048Z }
2022-11-23T02:04:39.0560170Z ''')
2022-11-23T02:04:39.0560191Z 
2022-11-23T02:04:39.0560209Z 
2022-11-23T02:04:39.0560439Z async_compile.wait(globals())
2022-11-23T02:04:39.0560528Z del async_compile
2022-11-23T02:04:39.0560547Z 
2022-11-23T02:04:39.0560653Z def call(args):
2022-11-23T02:04:39.0560758Z     arg0_1, = args
2022-11-23T02:04:39.0560866Z     args.clear()
2022-11-23T02:04:39.0561163Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0561451Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 1, 6), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0561681Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.0561785Z     del arg0_1
2022-11-23T02:04:39.0561881Z     return (buf0, buf1, )
2022-11-23T02:04:39.0561901Z 
2022-11-23T02:04:39.0561919Z 
2022-11-23T02:04:39.0562033Z if __name__ == "__main__":
2022-11-23T02:04:39.0562196Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0562371Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0562666Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0562823Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.0562843Z 
2022-11-23T02:04:39.0562946Z ok (2.655s)
2022-11-23T02:04:39.0563408Z   test_fmod_cpu (__main__.CpuTests) ... [2022-11-23 01:54:02,712] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0563828Z [2022-11-23 01:54:02,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0564128Z [2022-11-23 01:54:02,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0564476Z [2022-11-23 01:54:02,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0564849Z [2022-11-23 01:54:02,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0565285Z [2022-11-23 01:54:02,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0565750Z [2022-11-23 01:54:02,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0566182Z [2022-11-23 01:54:02,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0566685Z [2022-11-23 01:54:02,713] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9e600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2665> 
2022-11-23T02:04:39.0566829Z  2666           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0566965Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T02:04:39.0567080Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0567221Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.0567350Z                8 CALL_METHOD              2
2022-11-23T02:04:39.0567485Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0567619Z               12 LOAD_METHOD              1 (fmod)
2022-11-23T02:04:39.0567753Z               14 LOAD_CONST               1 (3.0)
2022-11-23T02:04:39.0567884Z               16 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0567989Z               18 BINARY_MULTIPLY
2022-11-23T02:04:39.0568121Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:39.0568248Z               22 CALL_METHOD              2
2022-11-23T02:04:39.0568382Z               24 LOAD_CONST               2 (2.0)
2022-11-23T02:04:39.0568499Z               26 BINARY_SUBTRACT
2022-11-23T02:04:39.0568626Z               28 BUILD_TUPLE              2
2022-11-23T02:04:39.0568740Z               30 RETURN_VALUE
2022-11-23T02:04:39.0568813Z  
2022-11-23T02:04:39.0568833Z 
2022-11-23T02:04:39.0569343Z [2022-11-23 01:54:02,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2666
2022-11-23T02:04:39.0569643Z [2022-11-23 01:54:02,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.0570144Z [2022-11-23 01:54:02,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0570579Z [2022-11-23 01:54:02,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.0571043Z [2022-11-23 01:54:02,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.0571550Z [2022-11-23 01:54:02,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0571892Z [2022-11-23 01:54:02,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.0572465Z [2022-11-23 01:54:02,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0572949Z [2022-11-23 01:54:02,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.0573463Z [2022-11-23 01:54:02,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7fa5855aec60>), ConstantVariable(float)]
2022-11-23T02:04:39.0574041Z [2022-11-23 01:54:02,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7fa5855aec60>), ConstantVariable(float), TensorVariable()]
2022-11-23T02:04:39.0574530Z [2022-11-23 01:54:02,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.0575077Z [2022-11-23 01:54:02,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0575452Z [2022-11-23 01:54:02,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0575883Z [2022-11-23 01:54:02,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.0577052Z [2022-11-23 01:54:02,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0577450Z [2022-11-23 01:54:02,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0577963Z [2022-11-23 01:54:02,724] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9e600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2665>
2022-11-23T02:04:39.0578299Z [2022-11-23 01:54:02,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0578624Z [2022-11-23 01:54:02,724] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0578976Z [2022-11-23 01:54:02,726] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0579314Z [2022-11-23 01:54:02,734] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0579555Z [2022-11-23 01:54:02,734] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0579929Z  __compiled_fn_176 <eval_with_key>.1520 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0580062Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0580191Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.0580516Z call_function, fmod, <built-in method fmod of type object at 0x7fa5855aec60>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.0580757Z call_function, mul, <built-in function mul>, (3.0, ex_0_), {}
2022-11-23T02:04:39.0581072Z call_function, fmod_1, <built-in method fmod of type object at 0x7fa5855aec60>, (mul, ex_1_), {}
2022-11-23T02:04:39.0581317Z call_function, sub, <built-in function sub>, (fmod_1, 2.0), {}
2022-11-23T02:04:39.0581446Z output, output, output, ((fmod, sub),), {}
2022-11-23T02:04:39.0581467Z 
2022-11-23T02:04:39.0581906Z [2022-11-23 01:54:02,735] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0582046Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0582179Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0582305Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0582439Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0582639Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0582757Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0582871Z              12 RETURN_VALUE
2022-11-23T02:04:39.0582891Z 
2022-11-23T02:04:39.0582987Z  
2022-11-23T02:04:39.0583426Z [2022-11-23 01:54:02,735] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0583583Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_176)
2022-11-23T02:04:39.0583715Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0583844Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0583966Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0584076Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0584210Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0584324Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.0584457Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.0584608Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0584756Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0584885Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0584980Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.0585128Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0585258Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0585370Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.0585498Z              30 BUILD_TUPLE              2
2022-11-23T02:04:39.0585612Z              32 RETURN_VALUE
2022-11-23T02:04:39.0585632Z 
2022-11-23T02:04:39.0585733Z  
2022-11-23T02:04:39.0585991Z [2022-11-23 01:54:02,736] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0586081Z  - 
2022-11-23T02:04:39.0586251Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0586351Z             {
2022-11-23T02:04:39.0586555Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0586811Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.0587041Z                 'obj_weakref': None
2022-11-23T02:04:39.0587355Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0587437Z             }
2022-11-23T02:04:39.0587533Z             
2022-11-23T02:04:39.0587637Z  - 
2022-11-23T02:04:39.0587816Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0587914Z             {
2022-11-23T02:04:39.0588114Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0588252Z                 'code': None,
2022-11-23T02:04:39.0588615Z                 'obj_weakref': <weakref at 0x7fa53c4fefc0; to 'Tensor' at 0x7fa5505229d0>
2022-11-23T02:04:39.0588958Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0589056Z             }
2022-11-23T02:04:39.0589155Z             
2022-11-23T02:04:39.0589264Z  - 
2022-11-23T02:04:39.0589442Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.0589521Z             {
2022-11-23T02:04:39.0589722Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0589875Z                 'code': None,
2022-11-23T02:04:39.0590165Z                 'obj_weakref': <weakref at 0x7fa550055d50; to 'Tensor' at 0x7fa53c48cc20>
2022-11-23T02:04:39.0590503Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0590601Z             }
2022-11-23T02:04:39.0590699Z             
2022-11-23T02:04:39.0590805Z  - 
2022-11-23T02:04:39.0590969Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0591071Z             {
2022-11-23T02:04:39.0591262Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0591498Z                 'code': ['___check_obj_id(model, 140347657466304)'],
2022-11-23T02:04:39.0591779Z                 'obj_weakref': None
2022-11-23T02:04:39.0592104Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0592202Z             }
2022-11-23T02:04:39.0592280Z             
2022-11-23T02:04:39.0592386Z  - 
2022-11-23T02:04:39.0592560Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0592658Z             {
2022-11-23T02:04:39.0592855Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0593153Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0593326Z                 'obj_weakref': None
2022-11-23T02:04:39.0593611Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0593712Z             }
2022-11-23T02:04:39.0593809Z             
2022-11-23T02:04:39.0593913Z  - 
2022-11-23T02:04:39.0594098Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.0594195Z             {
2022-11-23T02:04:39.0594350Z                 'guard_types': None,
2022-11-23T02:04:39.0594503Z                 'code': None,
2022-11-23T02:04:39.0594669Z                 'obj_weakref': None
2022-11-23T02:04:39.0594838Z                 'guarded_class': None
2022-11-23T02:04:39.0594936Z             }
2022-11-23T02:04:39.0595034Z             
2022-11-23T02:04:39.0595386Z [2022-11-23 01:54:02,750] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 175
2022-11-23T02:04:39.0595875Z [2022-11-23 01:54:05,397] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jp/cjpsdx7vzsj77ppp2ua5iewbnu6ivkltyqa3enfm5ml5ne7frfco.py
2022-11-23T02:04:39.0596216Z [2022-11-23 01:54:05,397] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 175
2022-11-23T02:04:39.0596241Z 
2022-11-23T02:04:39.0596378Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0596483Z import torch
2022-11-23T02:04:39.0596588Z import random
2022-11-23T02:04:39.0596758Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0596932Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0596953Z 
2022-11-23T02:04:39.0597071Z aten = torch.ops.aten
2022-11-23T02:04:39.0597241Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0597375Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0597394Z 
2022-11-23T02:04:39.0597413Z 
2022-11-23T02:04:39.0597614Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0597904Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0598074Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.0598229Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.0598444Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.0598584Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.0598660Z {
2022-11-23T02:04:39.0598804Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0598905Z     {
2022-11-23T02:04:39.0599019Z         #pragma omp for 
2022-11-23T02:04:39.0599139Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T02:04:39.0599234Z         {
2022-11-23T02:04:39.0599460Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.0599648Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.0599764Z             auto tmp2 = tmp0.fmod(tmp1);
2022-11-23T02:04:39.0599953Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(3.0));
2022-11-23T02:04:39.0600077Z             auto tmp4 = tmp0 * tmp3;
2022-11-23T02:04:39.0600209Z             auto tmp5 = tmp4.fmod(tmp1);
2022-11-23T02:04:39.0600401Z             auto tmp6 = at::vec::Vectorized<float>(static_cast<float>(2.0));
2022-11-23T02:04:39.0600594Z             auto tmp7 = tmp5 - tmp6;
2022-11-23T02:04:39.0600728Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.0600891Z             tmp7.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.0600995Z         }
2022-11-23T02:04:39.0601134Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.0601261Z         for(long i0=72; i0<72; i0+=1)
2022-11-23T02:04:39.0601356Z         {
2022-11-23T02:04:39.0601481Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.0601610Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:39.0601736Z             auto tmp2 = std::fmod(tmp0, tmp1);
2022-11-23T02:04:39.0601880Z             auto tmp3 = static_cast<float>(3.0);
2022-11-23T02:04:39.0602004Z             auto tmp4 = tmp0 * tmp3;
2022-11-23T02:04:39.0602149Z             auto tmp5 = std::fmod(tmp4, tmp1);
2022-11-23T02:04:39.0602295Z             auto tmp6 = static_cast<float>(2.0);
2022-11-23T02:04:39.0602488Z             auto tmp7 = tmp5 - tmp6;
2022-11-23T02:04:39.0602609Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.0602705Z             out_ptr1[i0] = tmp7;
2022-11-23T02:04:39.0602805Z         }
2022-11-23T02:04:39.0602900Z     }
2022-11-23T02:04:39.0602992Z }
2022-11-23T02:04:39.0603113Z ''')
2022-11-23T02:04:39.0603134Z 
2022-11-23T02:04:39.0603152Z 
2022-11-23T02:04:39.0603288Z async_compile.wait(globals())
2022-11-23T02:04:39.0603399Z del async_compile
2022-11-23T02:04:39.0603418Z 
2022-11-23T02:04:39.0603506Z def call(args):
2022-11-23T02:04:39.0603620Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.0603729Z     args.clear()
2022-11-23T02:04:39.0604021Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0604306Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0604567Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.0604677Z     del arg0_1
2022-11-23T02:04:39.0604777Z     del arg1_1
2022-11-23T02:04:39.0604874Z     return (buf0, buf1, )
2022-11-23T02:04:39.0604893Z 
2022-11-23T02:04:39.0604911Z 
2022-11-23T02:04:39.0605027Z if __name__ == "__main__":
2022-11-23T02:04:39.0605193Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0605370Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0605663Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0605950Z     arg1_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0606117Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.0606137Z 
2022-11-23T02:04:39.0606239Z ok (2.692s)
2022-11-23T02:04:39.0606644Z   test_fmod_zero_dim_cpu (__main__.CpuTests) ... [2022-11-23 01:54:05,404] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0607150Z [2022-11-23 01:54:05,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0607453Z [2022-11-23 01:54:05,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0607795Z [2022-11-23 01:54:05,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0608168Z [2022-11-23 01:54:05,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0608596Z [2022-11-23 01:54:05,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0609056Z [2022-11-23 01:54:05,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0609496Z [2022-11-23 01:54:05,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0610046Z [2022-11-23 01:54:05,406] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9e760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672> 
2022-11-23T02:04:39.0610195Z  2673           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0610314Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T02:04:39.0610446Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0610578Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.0610710Z                8 CALL_METHOD              2
2022-11-23T02:04:39.0610842Z               10 BUILD_TUPLE              1
2022-11-23T02:04:39.0610957Z               12 RETURN_VALUE
2022-11-23T02:04:39.0611050Z  
2022-11-23T02:04:39.0611069Z 
2022-11-23T02:04:39.0611495Z [2022-11-23 01:54:05,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2673
2022-11-23T02:04:39.0611782Z [2022-11-23 01:54:05,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.0612271Z [2022-11-23 01:54:05,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0612699Z [2022-11-23 01:54:05,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.0613159Z [2022-11-23 01:54:05,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.0613671Z [2022-11-23 01:54:05,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0614006Z [2022-11-23 01:54:05,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:39.0614342Z [2022-11-23 01:54:05,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0614848Z [2022-11-23 01:54:05,409] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9e760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672>
2022-11-23T02:04:39.0615178Z [2022-11-23 01:54:05,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0615493Z [2022-11-23 01:54:05,409] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0615819Z [2022-11-23 01:54:05,411] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0616759Z [2022-11-23 01:54:05,416] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0617472Z [2022-11-23 01:54:05,416] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0617789Z  __compiled_fn_177 <eval_with_key>.1526 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0618013Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0618224Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.0618598Z call_function, fmod, <built-in method fmod of type object at 0x7fa5855aec60>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.0618737Z output, output, output, ((fmod,),), {}
2022-11-23T02:04:39.0618760Z 
2022-11-23T02:04:39.0619198Z [2022-11-23 01:54:05,417] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0619319Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0619452Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0619579Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0619723Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0619848Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0619976Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0620088Z              12 RETURN_VALUE
2022-11-23T02:04:39.0620190Z 
2022-11-23T02:04:39.0620271Z  
2022-11-23T02:04:39.0620705Z [2022-11-23 01:54:05,417] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0620862Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_177)
2022-11-23T02:04:39.0620996Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0621126Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0621242Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0621375Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0621503Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0621601Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.0621727Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.0621875Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0622021Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0622157Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0622270Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.0622397Z              24 BUILD_TUPLE              1
2022-11-23T02:04:39.0622490Z              26 RETURN_VALUE
2022-11-23T02:04:39.0622509Z 
2022-11-23T02:04:39.0622598Z  
2022-11-23T02:04:39.0622852Z [2022-11-23 01:54:05,418] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0622961Z  - 
2022-11-23T02:04:39.0623131Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0623228Z             {
2022-11-23T02:04:39.0623424Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0623663Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.0623840Z                 'obj_weakref': None
2022-11-23T02:04:39.0624145Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0624243Z             }
2022-11-23T02:04:39.0624340Z             
2022-11-23T02:04:39.0624449Z  - 
2022-11-23T02:04:39.0624631Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0624709Z             {
2022-11-23T02:04:39.0624909Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0625062Z                 'code': None,
2022-11-23T02:04:39.0625348Z                 'obj_weakref': <weakref at 0x7fa5500f5030; to 'Tensor' at 0x7fa5500f6200>
2022-11-23T02:04:39.0625689Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0625785Z             }
2022-11-23T02:04:39.0625883Z             
2022-11-23T02:04:39.0625970Z  - 
2022-11-23T02:04:39.0626146Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.0626344Z             {
2022-11-23T02:04:39.0626546Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0626698Z                 'code': None,
2022-11-23T02:04:39.0626987Z                 'obj_weakref': <weakref at 0x7fa61a8eb100; to 'Tensor' at 0x7fa5504e9d50>
2022-11-23T02:04:39.0627329Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0627407Z             }
2022-11-23T02:04:39.0627503Z             
2022-11-23T02:04:39.0627610Z  - 
2022-11-23T02:04:39.0627795Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0627890Z             {
2022-11-23T02:04:39.0628079Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0628307Z                 'code': ['___check_obj_id(model, 140347657466304)'],
2022-11-23T02:04:39.0628457Z                 'obj_weakref': None
2022-11-23T02:04:39.0628766Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0628866Z             }
2022-11-23T02:04:39.0628962Z             
2022-11-23T02:04:39.0629067Z  - 
2022-11-23T02:04:39.0629242Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0629337Z             {
2022-11-23T02:04:39.0629557Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0629858Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0630025Z                 'obj_weakref': None
2022-11-23T02:04:39.0630322Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0630418Z             }
2022-11-23T02:04:39.0630513Z             
2022-11-23T02:04:39.0630619Z  - 
2022-11-23T02:04:39.0630788Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.0630886Z             {
2022-11-23T02:04:39.0631054Z                 'guard_types': None,
2022-11-23T02:04:39.0631208Z                 'code': None,
2022-11-23T02:04:39.0631374Z                 'obj_weakref': None
2022-11-23T02:04:39.0631542Z                 'guarded_class': None
2022-11-23T02:04:39.0631637Z             }
2022-11-23T02:04:39.0631713Z             
2022-11-23T02:04:39.0632111Z [2022-11-23 01:54:05,426] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 176
2022-11-23T02:04:39.0632674Z [2022-11-23 01:54:07,989] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dg/cdgegl6stpcfrfzehujqxvmrwonabce63bv5fan2yqtxfprbw6nb.py
2022-11-23T02:04:39.0633038Z [2022-11-23 01:54:07,990] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 176
2022-11-23T02:04:39.0633361Z [2022-11-23 01:54:07,995] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0633785Z [2022-11-23 01:54:07,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0634085Z [2022-11-23 01:54:07,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0634433Z [2022-11-23 01:54:07,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0634815Z [2022-11-23 01:54:07,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0635226Z [2022-11-23 01:54:07,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0635690Z [2022-11-23 01:54:07,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0636122Z [2022-11-23 01:54:07,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0636622Z [2022-11-23 01:54:07,996] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9e760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672> 
2022-11-23T02:04:39.0636832Z  2673           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0636969Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T02:04:39.0637105Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0637239Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.0637366Z                8 CALL_METHOD              2
2022-11-23T02:04:39.0637479Z               10 BUILD_TUPLE              1
2022-11-23T02:04:39.0637594Z               12 RETURN_VALUE
2022-11-23T02:04:39.0637687Z  
2022-11-23T02:04:39.0637707Z 
2022-11-23T02:04:39.0638138Z [2022-11-23 01:54:07,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2673
2022-11-23T02:04:39.0638437Z [2022-11-23 01:54:07,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.0638932Z [2022-11-23 01:54:07,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0639417Z [2022-11-23 01:54:07,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.0639892Z [2022-11-23 01:54:07,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.0640406Z [2022-11-23 01:54:07,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0640715Z [2022-11-23 01:54:08,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:39.0641058Z [2022-11-23 01:54:08,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0641569Z [2022-11-23 01:54:08,000] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9e760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672>
2022-11-23T02:04:39.0641908Z [2022-11-23 01:54:08,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0642233Z [2022-11-23 01:54:08,000] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0642578Z [2022-11-23 01:54:08,002] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0642926Z [2022-11-23 01:54:08,006] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0643194Z [2022-11-23 01:54:08,007] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0643389Z  __compiled_fn_178 <eval_with_key>.1532 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0643525Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0643635Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.0643958Z call_function, fmod, <built-in method fmod of type object at 0x7fa5855aec60>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.0644105Z output, output, output, ((fmod,),), {}
2022-11-23T02:04:39.0644125Z 
2022-11-23T02:04:39.0644565Z [2022-11-23 01:54:08,008] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0644709Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0644843Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0644970Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0645087Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0645213Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0645347Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0645531Z              12 RETURN_VALUE
2022-11-23T02:04:39.0645550Z 
2022-11-23T02:04:39.0645645Z  
2022-11-23T02:04:39.0646084Z [2022-11-23 01:54:08,008] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0646248Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_178)
2022-11-23T02:04:39.0646382Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0646494Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0646611Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0646739Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0646870Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0646985Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.0647114Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.0647262Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0647389Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0647530Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0647643Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.0647768Z              24 BUILD_TUPLE              1
2022-11-23T02:04:39.0647880Z              26 RETURN_VALUE
2022-11-23T02:04:39.0647956Z 
2022-11-23T02:04:39.0648055Z  
2022-11-23T02:04:39.0648311Z [2022-11-23 01:54:08,009] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0648400Z  - 
2022-11-23T02:04:39.0648567Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0648666Z             {
2022-11-23T02:04:39.0648868Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0649126Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.0649299Z                 'obj_weakref': None
2022-11-23T02:04:39.0649604Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0649701Z             }
2022-11-23T02:04:39.0649786Z             
2022-11-23T02:04:39.0649897Z  - 
2022-11-23T02:04:39.0650072Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0650171Z             {
2022-11-23T02:04:39.0650370Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0650529Z                 'code': None,
2022-11-23T02:04:39.0650802Z                 'obj_weakref': <weakref at 0x7fa53c4fd760; to 'Tensor' at 0x7fa5500f6200>
2022-11-23T02:04:39.0651147Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0651244Z             }
2022-11-23T02:04:39.0651341Z             
2022-11-23T02:04:39.0651450Z  - 
2022-11-23T02:04:39.0651625Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.0651722Z             {
2022-11-23T02:04:39.0651904Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0652059Z                 'code': None,
2022-11-23T02:04:39.0652347Z                 'obj_weakref': <weakref at 0x7fa53c4fd530; to 'Tensor' at 0x7fa5500f64d0>
2022-11-23T02:04:39.0652690Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0652785Z             }
2022-11-23T02:04:39.0652884Z             
2022-11-23T02:04:39.0652995Z  - 
2022-11-23T02:04:39.0653159Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0653255Z             {
2022-11-23T02:04:39.0653445Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0653681Z                 'code': ['___check_obj_id(model, 140347657466304)'],
2022-11-23T02:04:39.0653850Z                 'obj_weakref': None
2022-11-23T02:04:39.0654167Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0654264Z             }
2022-11-23T02:04:39.0654360Z             
2022-11-23T02:04:39.0654446Z  - 
2022-11-23T02:04:39.0654618Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0654716Z             {
2022-11-23T02:04:39.0654990Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0655285Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0655452Z                 'obj_weakref': None
2022-11-23T02:04:39.0655758Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0655836Z             }
2022-11-23T02:04:39.0655929Z             
2022-11-23T02:04:39.0656543Z  - 
2022-11-23T02:04:39.0656920Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.0657068Z             {
2022-11-23T02:04:39.0657353Z                 'guard_types': None,
2022-11-23T02:04:39.0657548Z                 'code': None,
2022-11-23T02:04:39.0657715Z                 'obj_weakref': None
2022-11-23T02:04:39.0657884Z                 'guarded_class': None
2022-11-23T02:04:39.0657978Z             }
2022-11-23T02:04:39.0658076Z             
2022-11-23T02:04:39.0658436Z [2022-11-23 01:54:08,017] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 177
2022-11-23T02:04:39.0658928Z [2022-11-23 01:54:10,638] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tv/ctvyy53pfm36sdmp5u3ir5vxg4m5j6iicjz53tadrjcjmth7hwno.py
2022-11-23T02:04:39.0659439Z [2022-11-23 01:54:10,638] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 177
2022-11-23T02:04:39.0659462Z 
2022-11-23T02:04:39.0659586Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0659694Z import torch
2022-11-23T02:04:39.0659800Z import random
2022-11-23T02:04:39.0659966Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0660139Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0660158Z 
2022-11-23T02:04:39.0660277Z aten = torch.ops.aten
2022-11-23T02:04:39.0660465Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0660580Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0660619Z 
2022-11-23T02:04:39.0660643Z 
2022-11-23T02:04:39.0660821Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0661100Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0661272Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.0661428Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.0661573Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.0661669Z {
2022-11-23T02:04:39.0661810Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0661884Z     {
2022-11-23T02:04:39.0662001Z         #pragma omp for 
2022-11-23T02:04:39.0662123Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:39.0662218Z         {
2022-11-23T02:04:39.0662440Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.0662612Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T02:04:39.0662746Z             auto tmp2 = tmp0.fmod(tmp1);
2022-11-23T02:04:39.0662864Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.0662965Z         }
2022-11-23T02:04:39.0663103Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.0663223Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:39.0663319Z         {
2022-11-23T02:04:39.0663444Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.0663566Z             auto tmp1 = in_ptr1[0];
2022-11-23T02:04:39.0663696Z             auto tmp2 = std::fmod(tmp0, tmp1);
2022-11-23T02:04:39.0663817Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.0663913Z         }
2022-11-23T02:04:39.0664013Z     }
2022-11-23T02:04:39.0664104Z }
2022-11-23T02:04:39.0664235Z ''')
2022-11-23T02:04:39.0664255Z 
2022-11-23T02:04:39.0664273Z 
2022-11-23T02:04:39.0664405Z async_compile.wait(globals())
2022-11-23T02:04:39.0664494Z del async_compile
2022-11-23T02:04:39.0664533Z 
2022-11-23T02:04:39.0664621Z def call(args):
2022-11-23T02:04:39.0664734Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.0664841Z     args.clear()
2022-11-23T02:04:39.0665221Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0665448Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.0665553Z     del arg0_1
2022-11-23T02:04:39.0665658Z     del arg1_1
2022-11-23T02:04:39.0665748Z     return (buf0, )
2022-11-23T02:04:39.0665768Z 
2022-11-23T02:04:39.0665786Z 
2022-11-23T02:04:39.0665900Z if __name__ == "__main__":
2022-11-23T02:04:39.0666062Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0666237Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0666510Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0666770Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0666936Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.0666955Z 
2022-11-23T02:04:39.0666974Z 
2022-11-23T02:04:39.0667118Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0667204Z import torch
2022-11-23T02:04:39.0667312Z import random
2022-11-23T02:04:39.0667474Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0667646Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0667717Z 
2022-11-23T02:04:39.0667842Z aten = torch.ops.aten
2022-11-23T02:04:39.0668032Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0668165Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0668184Z 
2022-11-23T02:04:39.0668203Z 
2022-11-23T02:04:39.0668401Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0668661Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0668829Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.0668979Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.0669123Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.0669221Z {
2022-11-23T02:04:39.0669362Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0669456Z     {
2022-11-23T02:04:39.0669552Z         #pragma omp for 
2022-11-23T02:04:39.0669673Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:39.0669771Z         {
2022-11-23T02:04:39.0669952Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T02:04:39.0670139Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.0670272Z             auto tmp2 = tmp0.fmod(tmp1);
2022-11-23T02:04:39.0670406Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.0670482Z         }
2022-11-23T02:04:39.0670619Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.0670738Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:39.0670835Z         {
2022-11-23T02:04:39.0670958Z             auto tmp0 = in_ptr0[0];
2022-11-23T02:04:39.0671082Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:39.0671228Z             auto tmp2 = std::fmod(tmp0, tmp1);
2022-11-23T02:04:39.0671334Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.0671430Z         }
2022-11-23T02:04:39.0671523Z     }
2022-11-23T02:04:39.0671614Z }
2022-11-23T02:04:39.0671739Z ''')
2022-11-23T02:04:39.0671758Z 
2022-11-23T02:04:39.0671776Z 
2022-11-23T02:04:39.0671913Z async_compile.wait(globals())
2022-11-23T02:04:39.0672025Z del async_compile
2022-11-23T02:04:39.0672044Z 
2022-11-23T02:04:39.0672131Z def call(args):
2022-11-23T02:04:39.0672243Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.0672349Z     args.clear()
2022-11-23T02:04:39.0672617Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0672842Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.0672944Z     del arg0_1
2022-11-23T02:04:39.0673043Z     del arg1_1
2022-11-23T02:04:39.0673131Z     return (buf0, )
2022-11-23T02:04:39.0673170Z 
2022-11-23T02:04:39.0673188Z 
2022-11-23T02:04:39.0673347Z if __name__ == "__main__":
2022-11-23T02:04:39.0673509Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0673680Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0673940Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0674204Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0674366Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.0674386Z 
2022-11-23T02:04:39.0674485Z ok (5.241s)
2022-11-23T02:04:39.0674899Z   test_full_like_cpu (__main__.CpuTests) ... [2022-11-23 01:54:10,646] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0675305Z [2022-11-23 01:54:10,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0675603Z [2022-11-23 01:54:10,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0675950Z [2022-11-23 01:54:10,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0676375Z [2022-11-23 01:54:10,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0676817Z [2022-11-23 01:54:10,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0677280Z [2022-11-23 01:54:10,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0677713Z [2022-11-23 01:54:10,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0678216Z [2022-11-23 01:54:10,647] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9f5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2806> 
2022-11-23T02:04:39.0678364Z  2807           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0678507Z                2 LOAD_METHOD              1 (full_like)
2022-11-23T02:04:39.0678629Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0678764Z                6 LOAD_CONST               1 (7.777)
2022-11-23T02:04:39.0678894Z                8 CALL_METHOD              2
2022-11-23T02:04:39.0679024Z               10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0679144Z               12 BINARY_SUBTRACT
2022-11-23T02:04:39.0679260Z               14 RETURN_VALUE
2022-11-23T02:04:39.0679356Z  
2022-11-23T02:04:39.0679376Z 
2022-11-23T02:04:39.0679781Z [2022-11-23 01:54:10,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2807
2022-11-23T02:04:39.0680080Z [2022-11-23 01:54:10,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.0680580Z [2022-11-23 01:54:10,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR full_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0681027Z [2022-11-23 01:54:10,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method full_like of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.0681502Z [2022-11-23 01:54:10,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7.777 [TorchVariable(<built-in method full_like of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.0682034Z [2022-11-23 01:54:10,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method full_like of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.0682357Z [2022-11-23 01:54:10,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:39.0682815Z [2022-11-23 01:54:10,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0683150Z [2022-11-23 01:54:10,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.0683664Z [2022-11-23 01:54:10,654] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9f5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2806>
2022-11-23T02:04:39.0683998Z [2022-11-23 01:54:10,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.0684296Z [2022-11-23 01:54:10,655] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0684641Z [2022-11-23 01:54:10,656] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0684979Z [2022-11-23 01:54:10,662] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0685250Z [2022-11-23 01:54:10,662] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0685439Z  __compiled_fn_179 <eval_with_key>.1538 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0685624Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0685970Z call_function, full_like, <built-in method full_like of type object at 0x7fa5855aec60>, (ex_0_, 7.777), {}
2022-11-23T02:04:39.0686219Z call_function, sub, <built-in function sub>, (full_like, 1), {}
2022-11-23T02:04:39.0686340Z output, output, output, ((sub,),), {}
2022-11-23T02:04:39.0686380Z 
2022-11-23T02:04:39.0686800Z [2022-11-23 01:54:10,663] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0686940Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0687149Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0687278Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0687417Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0687544Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0687675Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0687772Z              12 RETURN_VALUE
2022-11-23T02:04:39.0687792Z 
2022-11-23T02:04:39.0687886Z  
2022-11-23T02:04:39.0688327Z [2022-11-23 01:54:10,663] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0688483Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_179)
2022-11-23T02:04:39.0688615Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0688750Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0688866Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0688996Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.0689108Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.0689225Z              12 RETURN_VALUE
2022-11-23T02:04:39.0689245Z 
2022-11-23T02:04:39.0689337Z  
2022-11-23T02:04:39.0689596Z [2022-11-23 01:54:10,664] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0689707Z  - 
2022-11-23T02:04:39.0689875Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0689980Z             {
2022-11-23T02:04:39.0690160Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0690418Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.0690591Z                 'obj_weakref': None
2022-11-23T02:04:39.0690901Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0690998Z             }
2022-11-23T02:04:39.0691094Z             
2022-11-23T02:04:39.0691203Z  - 
2022-11-23T02:04:39.0691408Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0691506Z             {
2022-11-23T02:04:39.0691706Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0691973Z                 'code': None,
2022-11-23T02:04:39.0692264Z                 'obj_weakref': <weakref at 0x7fa531ec6930; to 'Tensor' at 0x7fa53c4244f0>
2022-11-23T02:04:39.0692608Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0692707Z             }
2022-11-23T02:04:39.0692784Z             
2022-11-23T02:04:39.0692891Z  - 
2022-11-23T02:04:39.0693073Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0693170Z             {
2022-11-23T02:04:39.0693359Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0693593Z                 'code': ['___check_obj_id(model, 140347657466304)'],
2022-11-23T02:04:39.0693760Z                 'obj_weakref': None
2022-11-23T02:04:39.0694051Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0694151Z             }
2022-11-23T02:04:39.0694244Z             
2022-11-23T02:04:39.0694356Z  - 
2022-11-23T02:04:39.0694528Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0694624Z             {
2022-11-23T02:04:39.0694816Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0695150Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0695330Z                 'obj_weakref': None
2022-11-23T02:04:39.0695632Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0695727Z             }
2022-11-23T02:04:39.0695821Z             
2022-11-23T02:04:39.0695926Z  - 
2022-11-23T02:04:39.0696602Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.0696742Z             {
2022-11-23T02:04:39.0697036Z                 'guard_types': None,
2022-11-23T02:04:39.0697293Z                 'code': None,
2022-11-23T02:04:39.0697568Z                 'obj_weakref': None
2022-11-23T02:04:39.0697858Z                 'guarded_class': None
2022-11-23T02:04:39.0698018Z             }
2022-11-23T02:04:39.0698164Z             
2022-11-23T02:04:39.0698548Z [2022-11-23 01:54:10,674] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 178
2022-11-23T02:04:39.0699045Z [2022-11-23 01:54:13,220] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uz/cuzev3o6kp7jzkku32mxnuslutg6rcx3jdzhn2zvhoebnq25vbv7.py
2022-11-23T02:04:39.0699400Z [2022-11-23 01:54:13,220] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 178
2022-11-23T02:04:39.0699421Z 
2022-11-23T02:04:39.0699556Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0699660Z import torch
2022-11-23T02:04:39.0699764Z import random
2022-11-23T02:04:39.0699926Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0700096Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0700116Z 
2022-11-23T02:04:39.0700214Z aten = torch.ops.aten
2022-11-23T02:04:39.0700400Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0700539Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0700558Z 
2022-11-23T02:04:39.0700577Z 
2022-11-23T02:04:39.0700771Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0701057Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0701226Z extern "C" void kernel(float* __restrict__ out_ptr0)
2022-11-23T02:04:39.0701319Z {
2022-11-23T02:04:39.0701460Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0701535Z     {
2022-11-23T02:04:39.0701649Z         #pragma omp for 
2022-11-23T02:04:39.0701769Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:39.0701865Z         {
2022-11-23T02:04:39.0702083Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(7.777));
2022-11-23T02:04:39.0702271Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.0702450Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.0702717Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.0702814Z         }
2022-11-23T02:04:39.0702952Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.0703071Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T02:04:39.0703168Z         {
2022-11-23T02:04:39.0703319Z             auto tmp0 = static_cast<float>(7.777);
2022-11-23T02:04:39.0703462Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.0703627Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.0703745Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.0703841Z         }
2022-11-23T02:04:39.0703934Z     }
2022-11-23T02:04:39.0704025Z }
2022-11-23T02:04:39.0704141Z ''')
2022-11-23T02:04:39.0704161Z 
2022-11-23T02:04:39.0704179Z 
2022-11-23T02:04:39.0704312Z async_compile.wait(globals())
2022-11-23T02:04:39.0704402Z del async_compile
2022-11-23T02:04:39.0704421Z 
2022-11-23T02:04:39.0704527Z def call(args):
2022-11-23T02:04:39.0704631Z     arg0_1, = args
2022-11-23T02:04:39.0704739Z     args.clear()
2022-11-23T02:04:39.0705010Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0705155Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.0705265Z     return (buf0, )
2022-11-23T02:04:39.0705284Z 
2022-11-23T02:04:39.0705302Z 
2022-11-23T02:04:39.0705465Z if __name__ == "__main__":
2022-11-23T02:04:39.0705634Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0705807Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0706079Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0706233Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.0706252Z 
2022-11-23T02:04:39.0706353Z ok (2.581s)
2022-11-23T02:04:39.0706773Z   test_fuse_tiled_cpu (__main__.CpuTests) ... [2022-11-23 01:54:13,228] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0707202Z [2022-11-23 01:54:13,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0707504Z [2022-11-23 01:54:13,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0707833Z [2022-11-23 01:54:13,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0708208Z [2022-11-23 01:54:13,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0708630Z [2022-11-23 01:54:13,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0709092Z [2022-11-23 01:54:13,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0709519Z [2022-11-23 01:54:13,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0710027Z [2022-11-23 01:54:13,229] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8b310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3428> 
2022-11-23T02:04:39.0710168Z  3429           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0710302Z                2 LOAD_FAST                1 (b)
2022-11-23T02:04:39.0710413Z                4 BINARY_ADD
2022-11-23T02:04:39.0710524Z                6 LOAD_FAST                2 (c)
2022-11-23T02:04:39.0710650Z                8 LOAD_CONST               1 (1)
2022-11-23T02:04:39.0710761Z               10 BINARY_ADD
2022-11-23T02:04:39.0710888Z               12 BUILD_TUPLE              2
2022-11-23T02:04:39.0711001Z               14 RETURN_VALUE
2022-11-23T02:04:39.0711093Z  
2022-11-23T02:04:39.0711112Z 
2022-11-23T02:04:39.0711590Z [2022-11-23 01:54:13,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3429
2022-11-23T02:04:39.0711943Z [2022-11-23 01:54:13,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.0712247Z [2022-11-23 01:54:13,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:39.0712619Z [2022-11-23 01:54:13,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0712940Z [2022-11-23 01:54:13,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()]
2022-11-23T02:04:39.0713304Z [2022-11-23 01:54:13,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0713719Z [2022-11-23 01:54:13,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0714079Z [2022-11-23 01:54:13,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0714416Z [2022-11-23 01:54:13,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0715006Z [2022-11-23 01:54:13,234] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8b310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3428>
2022-11-23T02:04:39.0715354Z [2022-11-23 01:54:13,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0715652Z [2022-11-23 01:54:13,235] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0715994Z [2022-11-23 01:54:13,236] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0716332Z [2022-11-23 01:54:13,242] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0716592Z [2022-11-23 01:54:13,243] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0716785Z  __compiled_fn_180 <eval_with_key>.1544 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0716917Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0717043Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.0717170Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.0717399Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.0717644Z call_function, add_1, <built-in function add>, (ex_2_, 1), {}
2022-11-23T02:04:39.0717794Z output, output, output, ((add, add_1),), {}
2022-11-23T02:04:39.0717814Z 
2022-11-23T02:04:39.0718258Z [2022-11-23 01:54:13,243] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0718401Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0718534Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0718662Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0718802Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0718906Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0719034Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0719147Z              12 RETURN_VALUE
2022-11-23T02:04:39.0719167Z 
2022-11-23T02:04:39.0719265Z  
2022-11-23T02:04:39.0719700Z [2022-11-23 01:54:13,243] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0719856Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_180)
2022-11-23T02:04:39.0719989Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0720122Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0720217Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0720342Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0720472Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0720584Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.0720800Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0720931Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.0721043Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.0721153Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.0721305Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0721454Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0721584Z              26 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0721696Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.0721842Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0721971Z              32 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0722064Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.0722192Z              36 BUILD_TUPLE              2
2022-11-23T02:04:39.0722304Z              38 RETURN_VALUE
2022-11-23T02:04:39.0722324Z 
2022-11-23T02:04:39.0722418Z  
2022-11-23T02:04:39.0722692Z [2022-11-23 01:54:13,245] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0722801Z  - 
2022-11-23T02:04:39.0722973Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0723053Z             {
2022-11-23T02:04:39.0723309Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0723576Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.0723745Z                 'obj_weakref': None
2022-11-23T02:04:39.0724051Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0724149Z             }
2022-11-23T02:04:39.0724245Z             
2022-11-23T02:04:39.0724332Z  - 
2022-11-23T02:04:39.0724509Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0724607Z             {
2022-11-23T02:04:39.0724809Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0724965Z                 'code': None,
2022-11-23T02:04:39.0725256Z                 'obj_weakref': <weakref at 0x7fa5500c7d30; to 'Tensor' at 0x7fa5500984f0>
2022-11-23T02:04:39.0725610Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0725709Z             }
2022-11-23T02:04:39.0725787Z             
2022-11-23T02:04:39.0725899Z  - 
2022-11-23T02:04:39.0726078Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.0726177Z             {
2022-11-23T02:04:39.0726379Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0726536Z                 'code': None,
2022-11-23T02:04:39.0726804Z                 'obj_weakref': <weakref at 0x7fa5500c44f0; to 'Tensor' at 0x7fa55a007100>
2022-11-23T02:04:39.0735230Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0735385Z             }
2022-11-23T02:04:39.0735486Z             
2022-11-23T02:04:39.0735645Z  - 
2022-11-23T02:04:39.0735819Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.0735931Z             {
2022-11-23T02:04:39.0736835Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0737110Z                 'code': None,
2022-11-23T02:04:39.0737631Z                 'obj_weakref': <weakref at 0x7fa5500c6ca0; to 'Tensor' at 0x7fa531ec40e0>
2022-11-23T02:04:39.0738223Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0738334Z             }
2022-11-23T02:04:39.0738434Z             
2022-11-23T02:04:39.0738524Z  - 
2022-11-23T02:04:39.0738716Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0738817Z             {
2022-11-23T02:04:39.0739012Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0739254Z                 'code': ['___check_obj_id(model, 140347484154624)'],
2022-11-23T02:04:39.0739430Z                 'obj_weakref': None
2022-11-23T02:04:39.0739748Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0740086Z             }
2022-11-23T02:04:39.0740186Z             
2022-11-23T02:04:39.0740300Z  - 
2022-11-23T02:04:39.0740484Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0740583Z             {
2022-11-23T02:04:39.0740783Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0741059Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0741236Z                 'obj_weakref': None
2022-11-23T02:04:39.0741543Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0741644Z             }
2022-11-23T02:04:39.0741742Z             
2022-11-23T02:04:39.0742101Z [2022-11-23 01:54:13,255] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 179
2022-11-23T02:04:39.0742598Z [2022-11-23 01:54:15,915] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vg/cvgfjd4jrmtjrvsjmv27vs5ogvbaxumzj5sdq4a4q57onbimjhm2.py
2022-11-23T02:04:39.0742966Z [2022-11-23 01:54:15,915] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 179
2022-11-23T02:04:39.0742992Z 
2022-11-23T02:04:39.0743144Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0743331Z import torch
2022-11-23T02:04:39.0743450Z import random
2022-11-23T02:04:39.0743622Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0743798Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0743819Z 
2022-11-23T02:04:39.0743942Z aten = torch.ops.aten
2022-11-23T02:04:39.0744134Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0744272Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0744292Z 
2022-11-23T02:04:39.0744310Z 
2022-11-23T02:04:39.0744507Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0744770Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0744951Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.0745104Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.0745255Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.0745403Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.0745544Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.0745645Z {
2022-11-23T02:04:39.0745770Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0745869Z     {
2022-11-23T02:04:39.0745986Z         #pragma omp for 
2022-11-23T02:04:39.0746111Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T02:04:39.0746213Z         {
2022-11-23T02:04:39.0746343Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T02:04:39.0746444Z             {
2022-11-23T02:04:39.0746644Z                 auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T02:04:39.0746842Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T02:04:39.0746980Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.0747133Z                 tmp2.store(out_ptr0 + (8*i1) + (128*i0));
2022-11-23T02:04:39.0747233Z             }
2022-11-23T02:04:39.0747374Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.0747515Z             for(long i1=128; i1<128; i1+=1)
2022-11-23T02:04:39.0747594Z             {
2022-11-23T02:04:39.0747729Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.0747862Z                 auto tmp1 = in_ptr1[i1];
2022-11-23T02:04:39.0747991Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.0748128Z                 out_ptr0[i1 + (128*i0)] = tmp2;
2022-11-23T02:04:39.0748230Z             }
2022-11-23T02:04:39.0748328Z         }
2022-11-23T02:04:39.0748425Z         #pragma omp for 
2022-11-23T02:04:39.0748550Z         for(long i0=0; i0<2048; i0+=1)
2022-11-23T02:04:39.0748651Z         {
2022-11-23T02:04:39.0748846Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T02:04:39.0749176Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.0749303Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.0749435Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.0749512Z         }
2022-11-23T02:04:39.0749657Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.0749790Z         for(long i0=16384; i0<16384; i0+=1)
2022-11-23T02:04:39.0749887Z         {
2022-11-23T02:04:39.0750014Z             auto tmp0 = in_ptr2[i0];
2022-11-23T02:04:39.0750159Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.0750286Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.0750385Z             out_ptr1[i0] = tmp2;
2022-11-23T02:04:39.0750482Z         }
2022-11-23T02:04:39.0750578Z     }
2022-11-23T02:04:39.0750674Z }
2022-11-23T02:04:39.0750810Z ''')
2022-11-23T02:04:39.0750830Z 
2022-11-23T02:04:39.0750849Z 
2022-11-23T02:04:39.0750982Z async_compile.wait(globals())
2022-11-23T02:04:39.0751096Z del async_compile
2022-11-23T02:04:39.0751119Z 
2022-11-23T02:04:39.0751207Z def call(args):
2022-11-23T02:04:39.0751331Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.0751440Z     args.clear()
2022-11-23T02:04:39.0751728Z     buf0 = empty_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0752065Z     buf1 = empty_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0752367Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.0752474Z     del arg0_1
2022-11-23T02:04:39.0752580Z     del arg1_1
2022-11-23T02:04:39.0752661Z     del arg2_1
2022-11-23T02:04:39.0752780Z     return (buf0, buf1, )
2022-11-23T02:04:39.0752800Z 
2022-11-23T02:04:39.0752819Z 
2022-11-23T02:04:39.0752934Z if __name__ == "__main__":
2022-11-23T02:04:39.0753102Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0753278Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0753564Z     arg0_1 = rand_strided((128, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0753845Z     arg1_1 = rand_strided((1, 128), (128, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0754107Z     arg2_1 = rand_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0754291Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.0754311Z 
2022-11-23T02:04:39.0754416Z ok (2.696s)
2022-11-23T02:04:39.0754839Z   test_gather1_cpu (__main__.CpuTests) ... [2022-11-23 01:54:15,924] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0755267Z [2022-11-23 01:54:15,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0755571Z [2022-11-23 01:54:15,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0755921Z [2022-11-23 01:54:15,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0756298Z [2022-11-23 01:54:15,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0756735Z [2022-11-23 01:54:15,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0757197Z [2022-11-23 01:54:15,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0757614Z [2022-11-23 01:54:15,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0758117Z [2022-11-23 01:54:15,925] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641133730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1649> 
2022-11-23T02:04:39.0758327Z  1651           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0758472Z                2 LOAD_METHOD              1 (gather)
2022-11-23T02:04:39.0758607Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0758751Z                6 LOAD_METHOD              2 (expand)
2022-11-23T02:04:39.0758884Z                8 BUILD_LIST               0
2022-11-23T02:04:39.0759031Z               10 LOAD_CONST               1 ((4, 5, 10, 6))
2022-11-23T02:04:39.0759138Z               12 LIST_EXTEND              1
2022-11-23T02:04:39.0759269Z               14 CALL_METHOD              1
2022-11-23T02:04:39.0759407Z               16 LOAD_CONST               2 (3)
2022-11-23T02:04:39.0759544Z               18 LOAD_FAST                1 (b)
2022-11-23T02:04:39.0759679Z               20 LOAD_CONST               3 (1)
2022-11-23T02:04:39.0759793Z               22 BINARY_ADD
2022-11-23T02:04:39.0759924Z               24 CALL_METHOD              3
2022-11-23T02:04:39.0759948Z 
2022-11-23T02:04:39.0760087Z 1652          26 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0760206Z               28 LOAD_METHOD              1 (gather)
2022-11-23T02:04:39.0760338Z               30 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0760528Z               32 LOAD_METHOD              2 (expand)
2022-11-23T02:04:39.0760666Z               34 BUILD_LIST               0
2022-11-23T02:04:39.0760813Z               36 LOAD_CONST               1 ((4, 5, 10, 6))
2022-11-23T02:04:39.0760945Z               38 LIST_EXTEND              1
2022-11-23T02:04:39.0761070Z               40 CALL_METHOD              1
2022-11-23T02:04:39.0761280Z               42 LOAD_CONST               4 (-1)
2022-11-23T02:04:39.0761421Z               44 LOAD_FAST                1 (b)
2022-11-23T02:04:39.0761530Z               46 LOAD_CONST               3 (1)
2022-11-23T02:04:39.0761646Z               48 BINARY_ADD
2022-11-23T02:04:39.0761777Z               50 CALL_METHOD              3
2022-11-23T02:04:39.0761801Z 
2022-11-23T02:04:39.0761932Z 1650          52 BUILD_TUPLE              2
2022-11-23T02:04:39.0762057Z               54 RETURN_VALUE
2022-11-23T02:04:39.0762155Z  
2022-11-23T02:04:39.0762175Z 
2022-11-23T02:04:39.0762607Z [2022-11-23 01:54:15,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1651
2022-11-23T02:04:39.0762914Z [2022-11-23 01:54:15,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.0763393Z [2022-11-23 01:54:15,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0763835Z [2022-11-23 01:54:15,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.0764320Z [2022-11-23 01:54:15,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.0764862Z [2022-11-23 01:54:15,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T02:04:39.0765442Z [2022-11-23 01:54:15,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 5, 10, 6) [TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T02:04:39.0766064Z [2022-11-23 01:54:15,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), expand), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:39.0766628Z [2022-11-23 01:54:15,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T02:04:39.0767240Z [2022-11-23 01:54:15,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.0767766Z [2022-11-23 01:54:15,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0768323Z [2022-11-23 01:54:15,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.0768944Z [2022-11-23 01:54:15,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0769508Z [2022-11-23 01:54:15,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.0769987Z [2022-11-23 01:54:15,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1652
2022-11-23T02:04:39.0770337Z [2022-11-23 01:54:15,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.0770880Z [2022-11-23 01:54:15,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0771329Z [2022-11-23 01:54:15,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.0771856Z [2022-11-23 01:54:15,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.0772424Z [2022-11-23 01:54:15,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T02:04:39.0773045Z [2022-11-23 01:54:15,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 5, 10, 6) [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T02:04:39.0773703Z [2022-11-23 01:54:15,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), expand), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:39.0774314Z [2022-11-23 01:54:15,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T02:04:39.0774827Z [2022-11-23 01:54:15,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.0775384Z [2022-11-23 01:54:15,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0775981Z [2022-11-23 01:54:15,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.0777940Z [2022-11-23 01:54:15,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0778644Z [2022-11-23 01:54:15,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.0779076Z [2022-11-23 01:54:15,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1650
2022-11-23T02:04:39.0779448Z [2022-11-23 01:54:15,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0779785Z [2022-11-23 01:54:15,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0780302Z [2022-11-23 01:54:15,940] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641133730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1649>
2022-11-23T02:04:39.0780778Z [2022-11-23 01:54:15,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0781093Z [2022-11-23 01:54:15,940] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0781442Z [2022-11-23 01:54:15,942] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0781785Z [2022-11-23 01:54:15,951] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0782054Z [2022-11-23 01:54:15,951] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0782249Z  __compiled_fn_181 <eval_with_key>.1550 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0782391Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0782527Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.0782691Z call_method, expand, expand, (ex_0_, [4, 5, 10, 6]), {}
2022-11-23T02:04:39.0782915Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T02:04:39.0783255Z call_function, gather, <built-in method gather of type object at 0x7fa5855aec60>, (expand, 3, add), {}
2022-11-23T02:04:39.0783420Z call_method, expand_1, expand, (ex_0_, [4, 5, 10, 6]), {}
2022-11-23T02:04:39.0783664Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T02:04:39.0784011Z call_function, gather_1, <built-in method gather of type object at 0x7fa5855aec60>, (expand_1, -1, add_1), {}
2022-11-23T02:04:39.0784174Z output, output, output, ((gather, gather_1),), {}
2022-11-23T02:04:39.0784200Z 
2022-11-23T02:04:39.0784641Z [2022-11-23 01:54:15,952] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0784791Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0784904Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0785041Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0785186Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0785321Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0785455Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0785574Z              12 RETURN_VALUE
2022-11-23T02:04:39.0785594Z 
2022-11-23T02:04:39.0785692Z  
2022-11-23T02:04:39.0786131Z [2022-11-23 01:54:15,952] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0786273Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_181)
2022-11-23T02:04:39.0786411Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0786551Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0786756Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0786891Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0787074Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0787193Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.0787307Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.0787467Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0787620Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0787755Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0787877Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.0788032Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0788167Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0788261Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.0788393Z              30 BUILD_TUPLE              2
2022-11-23T02:04:39.0788511Z              32 RETURN_VALUE
2022-11-23T02:04:39.0788535Z 
2022-11-23T02:04:39.0788629Z  
2022-11-23T02:04:39.0788897Z [2022-11-23 01:54:15,953] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0789012Z  - 
2022-11-23T02:04:39.0789186Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0789266Z             {
2022-11-23T02:04:39.0789522Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0789794Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.0789969Z                 'obj_weakref': None
2022-11-23T02:04:39.0790281Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0790383Z             }
2022-11-23T02:04:39.0790486Z             
2022-11-23T02:04:39.0790573Z  - 
2022-11-23T02:04:39.0790758Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0790868Z             {
2022-11-23T02:04:39.0791073Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0791230Z                 'code': None,
2022-11-23T02:04:39.0791533Z                 'obj_weakref': <weakref at 0x7fa531e6f4c0; to 'Tensor' at 0x7fa53c4244f0>
2022-11-23T02:04:39.0791881Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0791967Z             }
2022-11-23T02:04:39.0792071Z             
2022-11-23T02:04:39.0792184Z  - 
2022-11-23T02:04:39.0792364Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.0792465Z             {
2022-11-23T02:04:39.0792671Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0792830Z                 'code': None,
2022-11-23T02:04:39.0793094Z                 'obj_weakref': <weakref at 0x7fa550099e90; to 'Tensor' at 0x7fa5500c4cc0>
2022-11-23T02:04:39.0793445Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0793546Z             }
2022-11-23T02:04:39.0793646Z             
2022-11-23T02:04:39.0793761Z  - 
2022-11-23T02:04:39.0793958Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0794060Z             {
2022-11-23T02:04:39.0794232Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0794475Z                 'code': ['___check_obj_id(model, 140347991892336)'],
2022-11-23T02:04:39.0794654Z                 'obj_weakref': None
2022-11-23T02:04:39.0794972Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0795073Z             }
2022-11-23T02:04:39.0795175Z             
2022-11-23T02:04:39.0795288Z  - 
2022-11-23T02:04:39.0795442Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0795544Z             {
2022-11-23T02:04:39.0795735Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0796038Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0796219Z                 'obj_weakref': None
2022-11-23T02:04:39.0796531Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0796700Z             }
2022-11-23T02:04:39.0796777Z             
2022-11-23T02:04:39.0796890Z  - 
2022-11-23T02:04:39.0797084Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.0797191Z             {
2022-11-23T02:04:39.0797368Z                 'guard_types': None,
2022-11-23T02:04:39.0797528Z                 'code': None,
2022-11-23T02:04:39.0797702Z                 'obj_weakref': None
2022-11-23T02:04:39.0797856Z                 'guarded_class': None
2022-11-23T02:04:39.0797961Z             }
2022-11-23T02:04:39.0798060Z             
2022-11-23T02:04:39.0798420Z [2022-11-23 01:54:15,968] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 180
2022-11-23T02:04:39.0798908Z [2022-11-23 01:54:18,555] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yq/cyqrg2nk32drf546dx4qe5tz4skn5cm5bcqqybtrfteyibgqcoof.py
2022-11-23T02:04:39.0799272Z [2022-11-23 01:54:18,555] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 180
2022-11-23T02:04:39.0799299Z 
2022-11-23T02:04:39.0799439Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0799552Z import torch
2022-11-23T02:04:39.0799638Z import random
2022-11-23T02:04:39.0799878Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0800065Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0800085Z 
2022-11-23T02:04:39.0800214Z aten = torch.ops.aten
2022-11-23T02:04:39.0800411Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0800551Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0800570Z 
2022-11-23T02:04:39.0800588Z 
2022-11-23T02:04:39.0800789Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0801069Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0801217Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.0801377Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.0801525Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.0801665Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.0801768Z {
2022-11-23T02:04:39.0801919Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0802014Z     {
2022-11-23T02:04:39.0802112Z         #pragma omp for 
2022-11-23T02:04:39.0802238Z         for(long i0=0; i0<20; i0+=1)
2022-11-23T02:04:39.0802337Z         {
2022-11-23T02:04:39.0802468Z             #pragma GCC ivdep
2022-11-23T02:04:39.0802599Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:39.0802697Z             {
2022-11-23T02:04:39.0802803Z                 {
2022-11-23T02:04:39.0802886Z                     {
2022-11-23T02:04:39.0803050Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T02:04:39.0803205Z                         auto tmp1 = static_cast<long>(1);
2022-11-23T02:04:39.0803346Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.0803506Z                         auto tmp3 = in_ptr1[tmp2 + (6*i1)];
2022-11-23T02:04:39.0803649Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:39.0803795Z                         out_ptr1[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:39.0803882Z                     }
2022-11-23T02:04:39.0803980Z                 }
2022-11-23T02:04:39.0804083Z             }
2022-11-23T02:04:39.0804187Z         }
2022-11-23T02:04:39.0804286Z     }
2022-11-23T02:04:39.0804387Z }
2022-11-23T02:04:39.0804493Z ''')
2022-11-23T02:04:39.0804538Z 
2022-11-23T02:04:39.0804556Z 
2022-11-23T02:04:39.0804672Z async_compile.wait(globals())
2022-11-23T02:04:39.0804787Z del async_compile
2022-11-23T02:04:39.0804806Z 
2022-11-23T02:04:39.0804919Z def call(args):
2022-11-23T02:04:39.0805039Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.0805150Z     args.clear()
2022-11-23T02:04:39.0805451Z     buf0 = empty_strided((4, 5, 10, 1), (50, 10, 1, 200), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0805826Z     buf1 = empty_strided((4, 5, 10, 1), (50, 10, 1, 200), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0806067Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.0806181Z     del arg0_1
2022-11-23T02:04:39.0806290Z     del arg1_1
2022-11-23T02:04:39.0806411Z     return (buf0, buf1, )
2022-11-23T02:04:39.0806430Z 
2022-11-23T02:04:39.0806448Z 
2022-11-23T02:04:39.0806566Z if __name__ == "__main__":
2022-11-23T02:04:39.0806738Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0806917Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0807217Z     arg0_1 = rand_strided((1, 1, 10, 6), (60, 60, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0807481Z     arg1_1 = rand_strided((4, 5, 10, 1), (50, 10, 1, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0807650Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.0807673Z 
2022-11-23T02:04:39.0807781Z ok (2.639s)
2022-11-23T02:04:39.0807948Z   test_gather2_cpu (__main__.CpuTests) ... ok (0.002s)
2022-11-23T02:04:39.0808428Z   test_gather_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:54:18,565] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0808867Z [2022-11-23 01:54:18,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0809165Z [2022-11-23 01:54:18,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0809514Z [2022-11-23 01:54:18,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0809895Z [2022-11-23 01:54:18,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0810306Z [2022-11-23 01:54:18,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0810789Z [2022-11-23 01:54:18,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0811228Z [2022-11-23 01:54:18,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0811732Z [2022-11-23 01:54:18,566] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9c240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2376> 
2022-11-23T02:04:39.0811879Z  2377           0 LOAD_FAST                0 (node_feat)
2022-11-23T02:04:39.0812028Z                2 LOAD_FAST                1 (edge_index)
2022-11-23T02:04:39.0812165Z                4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0812287Z                6 BINARY_SUBSCR
2022-11-23T02:04:39.0812414Z                8 BINARY_SUBSCR
2022-11-23T02:04:39.0812545Z               10 STORE_FAST               2 (src_node_feat)
2022-11-23T02:04:39.0812565Z 
2022-11-23T02:04:39.0812710Z 2378          12 LOAD_FAST                0 (node_feat)
2022-11-23T02:04:39.0812862Z               14 LOAD_FAST                1 (edge_index)
2022-11-23T02:04:39.0813003Z               16 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0813126Z               18 BINARY_SUBSCR
2022-11-23T02:04:39.0813245Z               20 BINARY_SUBSCR
2022-11-23T02:04:39.0813396Z               22 STORE_FAST               3 (dst_node_feat)
2022-11-23T02:04:39.0813416Z 
2022-11-23T02:04:39.0813565Z 2379          24 LOAD_FAST                2 (src_node_feat)
2022-11-23T02:04:39.0813690Z               26 LOAD_FAST                3 (dst_node_feat)
2022-11-23T02:04:39.0813818Z               28 BINARY_SUBTRACT
2022-11-23T02:04:39.0813960Z               30 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0814070Z               32 BINARY_ADD
2022-11-23T02:04:39.0814291Z               34 STORE_FAST               4 (edge_feat)
2022-11-23T02:04:39.0814311Z 
2022-11-23T02:04:39.0814457Z 2380          36 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.0814610Z               38 LOAD_METHOD              1 (zeros_like)
2022-11-23T02:04:39.0814732Z               40 LOAD_FAST                0 (node_feat)
2022-11-23T02:04:39.0814868Z               42 CALL_METHOD              1
2022-11-23T02:04:39.0815022Z               44 STORE_FAST               5 (new_node_feat)
2022-11-23T02:04:39.0815041Z 
2022-11-23T02:04:39.0815191Z 2381          46 LOAD_FAST                5 (new_node_feat)
2022-11-23T02:04:39.0815350Z               48 LOAD_METHOD              2 (scatter_add_)
2022-11-23T02:04:39.0815371Z 
2022-11-23T02:04:39.0815505Z 2382          50 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0815650Z               52 LOAD_FAST                1 (edge_index)
2022-11-23T02:04:39.0815787Z               54 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0815888Z               56 BINARY_SUBSCR
2022-11-23T02:04:39.0816655Z               58 LOAD_METHOD              3 (unsqueeze)
2022-11-23T02:04:39.0817026Z               60 LOAD_CONST               3 (-1)
2022-11-23T02:04:39.0817233Z               62 CALL_METHOD              1
2022-11-23T02:04:39.0817666Z               64 LOAD_METHOD              4 (expand_as)
2022-11-23T02:04:39.0817929Z               66 LOAD_FAST                4 (edge_feat)
2022-11-23T02:04:39.0818135Z               68 CALL_METHOD              1
2022-11-23T02:04:39.0818329Z               70 LOAD_FAST                4 (edge_feat)
2022-11-23T02:04:39.0818388Z 
2022-11-23T02:04:39.0818548Z 2381          72 CALL_METHOD              3
2022-11-23T02:04:39.0818670Z               74 POP_TOP
2022-11-23T02:04:39.0818690Z 
2022-11-23T02:04:39.0818837Z 2384          76 LOAD_FAST                5 (new_node_feat)
2022-11-23T02:04:39.0818956Z               78 RETURN_VALUE
2022-11-23T02:04:39.0819053Z  
2022-11-23T02:04:39.0819072Z 
2022-11-23T02:04:39.0819539Z [2022-11-23 01:54:18,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2377
2022-11-23T02:04:39.0819848Z [2022-11-23 01:54:18,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat []
2022-11-23T02:04:39.0820195Z [2022-11-23 01:54:18,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [TensorVariable()]
2022-11-23T02:04:39.0820536Z [2022-11-23 01:54:18,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0820959Z [2022-11-23 01:54:18,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0821339Z [2022-11-23 01:54:18,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0821690Z [2022-11-23 01:54:18,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST src_node_feat [TensorVariable()]
2022-11-23T02:04:39.0822110Z [2022-11-23 01:54:18,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2378
2022-11-23T02:04:39.0822419Z [2022-11-23 01:54:18,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat []
2022-11-23T02:04:39.0822759Z [2022-11-23 01:54:18,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [TensorVariable()]
2022-11-23T02:04:39.0823118Z [2022-11-23 01:54:18,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0823536Z [2022-11-23 01:54:18,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0823905Z [2022-11-23 01:54:18,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0824230Z [2022-11-23 01:54:18,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST dst_node_feat [TensorVariable()]
2022-11-23T02:04:39.0824770Z [2022-11-23 01:54:18,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2379
2022-11-23T02:04:39.0825085Z [2022-11-23 01:54:18,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src_node_feat []
2022-11-23T02:04:39.0825434Z [2022-11-23 01:54:18,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dst_node_feat [TensorVariable()]
2022-11-23T02:04:39.0825815Z [2022-11-23 01:54:18,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0826140Z [2022-11-23 01:54:18,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:39.0826510Z [2022-11-23 01:54:18,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0826925Z [2022-11-23 01:54:18,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST edge_feat [TensorVariable()]
2022-11-23T02:04:39.0827411Z [2022-11-23 01:54:18,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2380
2022-11-23T02:04:39.0827718Z [2022-11-23 01:54:18,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.0828203Z [2022-11-23 01:54:18,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.0828662Z [2022-11-23 01:54:18,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat [TorchVariable(<built-in method zeros_like of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.0829146Z [2022-11-23 01:54:18,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method zeros_like of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.0829505Z [2022-11-23 01:54:18,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST new_node_feat [TensorVariable()]
2022-11-23T02:04:39.0829930Z [2022-11-23 01:54:18,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2381
2022-11-23T02:04:39.0830243Z [2022-11-23 01:54:18,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_node_feat []
2022-11-23T02:04:39.0830585Z [2022-11-23 01:54:18,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add_ [TensorVariable()]
2022-11-23T02:04:39.0831007Z [2022-11-23 01:54:18,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2382
2022-11-23T02:04:39.0831400Z [2022-11-23 01:54:18,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [GetAttrVariable(TensorVariable(), scatter_add_)]
2022-11-23T02:04:39.0831856Z [2022-11-23 01:54:18,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int)]
2022-11-23T02:04:39.0832330Z [2022-11-23 01:54:18,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.0832852Z [2022-11-23 01:54:18,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0833344Z [2022-11-23 01:54:18,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.0833884Z [2022-11-23 01:54:18,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), unsqueeze)]
2022-11-23T02:04:39.0834564Z [2022-11-23 01:54:18,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), unsqueeze), ConstantVariable(int)]
2022-11-23T02:04:39.0835055Z [2022-11-23 01:54:18,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.0835602Z [2022-11-23 01:54:18,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_feat [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), expand_as)]
2022-11-23T02:04:39.0836180Z [2022-11-23 01:54:18,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), expand_as), TensorVariable()]
2022-11-23T02:04:39.0836662Z [2022-11-23 01:54:18,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_feat [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.0837146Z [2022-11-23 01:54:18,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2381
2022-11-23T02:04:39.0837667Z [2022-11-23 01:54:18,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0838004Z [2022-11-23 01:54:18,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T02:04:39.0838429Z [2022-11-23 01:54:18,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2384
2022-11-23T02:04:39.0838745Z [2022-11-23 01:54:18,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_node_feat []
2022-11-23T02:04:39.0839067Z [2022-11-23 01:54:18,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.0839583Z [2022-11-23 01:54:18,588] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9c240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2376>
2022-11-23T02:04:39.0839928Z [2022-11-23 01:54:18,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.0840254Z [2022-11-23 01:54:18,588] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0840606Z [2022-11-23 01:54:18,591] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0840953Z [2022-11-23 01:54:18,602] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0841220Z [2022-11-23 01:54:18,603] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0841418Z  __compiled_fn_182 <eval_with_key>.1556 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0841555Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0841667Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.0841941Z call_function, getitem, <built-in function getitem>, (ex_1_, 0), {}
2022-11-23T02:04:39.0842221Z call_function, getitem_1, <built-in function getitem>, (ex_0_, getitem), {}
2022-11-23T02:04:39.0842492Z call_function, getitem_2, <built-in function getitem>, (ex_1_, 1), {}
2022-11-23T02:04:39.0842776Z call_function, getitem_3, <built-in function getitem>, (ex_0_, getitem_2), {}
2022-11-23T02:04:39.0843047Z call_function, sub, <built-in function sub>, (getitem_1, getitem_3), {}
2022-11-23T02:04:39.0843284Z call_function, add, <built-in function add>, (sub, 1), {}
2022-11-23T02:04:39.0843623Z call_function, zeros_like, <built-in method zeros_like of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.0843862Z call_function, getitem_4, <built-in function getitem>, (ex_1_, 1), {}
2022-11-23T02:04:39.0844179Z call_method, unsqueeze, unsqueeze, (getitem_4, -1), {}
2022-11-23T02:04:39.0844355Z call_method, expand_as, expand_as, (unsqueeze, add), {}
2022-11-23T02:04:39.0844555Z call_method, scatter_add_, scatter_add_, (zeros_like, 0, expand_as, add), {}
2022-11-23T02:04:39.0844712Z output, output, output, ((zeros_like,),), {}
2022-11-23T02:04:39.0844737Z 
2022-11-23T02:04:39.0845179Z [2022-11-23 01:54:18,603] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0845327Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0845463Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0845573Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0845719Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0845851Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0845989Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0846112Z              12 RETURN_VALUE
2022-11-23T02:04:39.0846131Z 
2022-11-23T02:04:39.0846229Z  
2022-11-23T02:04:39.0846739Z [2022-11-23 01:54:18,603] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0846908Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_182)
2022-11-23T02:04:39.0847022Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0847158Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0847279Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0847417Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0847557Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0847675Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.0847813Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.0847924Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.0848044Z              18 RETURN_VALUE
2022-11-23T02:04:39.0848068Z 
2022-11-23T02:04:39.0848165Z  
2022-11-23T02:04:39.0848429Z [2022-11-23 01:54:18,605] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0848541Z  - 
2022-11-23T02:04:39.0848716Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0848823Z             {
2022-11-23T02:04:39.0849006Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0849267Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.0849441Z                 'obj_weakref': None
2022-11-23T02:04:39.0849760Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0849863Z             }
2022-11-23T02:04:39.0849963Z             
2022-11-23T02:04:39.0850075Z  - 
2022-11-23T02:04:39.0850235Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0850338Z             {
2022-11-23T02:04:39.0850544Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0850703Z                 'code': None,
2022-11-23T02:04:39.0850997Z                 'obj_weakref': <weakref at 0x7fa531ec42c0; to 'Tensor' at 0x7fa5500f6ed0>
2022-11-23T02:04:39.0851348Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0851456Z             }
2022-11-23T02:04:39.0851534Z             
2022-11-23T02:04:39.0851645Z  - 
2022-11-23T02:04:39.0851826Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.0851929Z             {
2022-11-23T02:04:39.0852207Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0852366Z                 'code': None,
2022-11-23T02:04:39.0852664Z                 'obj_weakref': <weakref at 0x7fa531ec68e0; to 'Tensor' at 0x7fa5500f6200>
2022-11-23T02:04:39.0852982Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0853085Z             }
2022-11-23T02:04:39.0853181Z             
2022-11-23T02:04:39.0853371Z  - 
2022-11-23T02:04:39.0853563Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0853663Z             {
2022-11-23T02:04:39.0853859Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0854075Z                 'code': ['___check_obj_id(model, 140347991892336)'],
2022-11-23T02:04:39.0854252Z                 'obj_weakref': None
2022-11-23T02:04:39.0854565Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0854668Z             }
2022-11-23T02:04:39.0854774Z             
2022-11-23T02:04:39.0854888Z  - 
2022-11-23T02:04:39.0855065Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0855142Z             {
2022-11-23T02:04:39.0855336Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0855638Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0855810Z                 'obj_weakref': None
2022-11-23T02:04:39.0856662Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0856841Z             }
2022-11-23T02:04:39.0857004Z             
2022-11-23T02:04:39.0857169Z  - 
2022-11-23T02:04:39.0857507Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.0857854Z             {
2022-11-23T02:04:39.0858092Z                 'guard_types': None,
2022-11-23T02:04:39.0858257Z                 'code': None,
2022-11-23T02:04:39.0858428Z                 'obj_weakref': None
2022-11-23T02:04:39.0858602Z                 'guarded_class': None
2022-11-23T02:04:39.0858680Z             }
2022-11-23T02:04:39.0858780Z             
2022-11-23T02:04:39.0859142Z [2022-11-23 01:54:18,626] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 181
2022-11-23T02:04:39.0859640Z [2022-11-23 01:54:21,270] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nj/cnjxlwpilxvqvt4giakbdw6g4flqi4hggbvisod475zfqe23pmoz.py
2022-11-23T02:04:39.0860008Z [2022-11-23 01:54:21,270] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 181
2022-11-23T02:04:39.0860032Z 
2022-11-23T02:04:39.0860178Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0860287Z import torch
2022-11-23T02:04:39.0860404Z import random
2022-11-23T02:04:39.0860553Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0860729Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0860748Z 
2022-11-23T02:04:39.0860868Z aten = torch.ops.aten
2022-11-23T02:04:39.0861065Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0861207Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0861226Z 
2022-11-23T02:04:39.0861246Z 
2022-11-23T02:04:39.0861441Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0861729Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0861904Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.0862040Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.0862185Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.0862283Z {
2022-11-23T02:04:39.0862433Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0862533Z     {
2022-11-23T02:04:39.0862653Z         #pragma omp for 
2022-11-23T02:04:39.0862783Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:39.0862860Z         {
2022-11-23T02:04:39.0863089Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T02:04:39.0863232Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.0863332Z         }
2022-11-23T02:04:39.0863474Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.0863604Z         for(long i0=512; i0<512; i0+=1)
2022-11-23T02:04:39.0863704Z         {
2022-11-23T02:04:39.0863829Z             auto tmp0 = static_cast<float>(0);
2022-11-23T02:04:39.0863952Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.0864148Z         }
2022-11-23T02:04:39.0864268Z         #pragma omp for 
2022-11-23T02:04:39.0864396Z         for(long i0=0; i0<80; i0+=1)
2022-11-23T02:04:39.0864492Z         {
2022-11-23T02:04:39.0864595Z             #pragma GCC ivdep
2022-11-23T02:04:39.0864723Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T02:04:39.0864829Z             {
2022-11-23T02:04:39.0864934Z                 {
2022-11-23T02:04:39.0865039Z                     {
2022-11-23T02:04:39.0865183Z                         auto tmp0 = in_ptr0[80 + i0];
2022-11-23T02:04:39.0865326Z                         auto tmp1 = in_ptr0[i0];
2022-11-23T02:04:39.0865456Z                         auto tmp2 = in_ptr1[i1 + (32*tmp1)];
2022-11-23T02:04:39.0865610Z                         auto tmp3 = in_ptr1[i1 + (32*tmp0)];
2022-11-23T02:04:39.0865822Z                         auto tmp4 = tmp2 - tmp3;
2022-11-23T02:04:39.0865982Z                         auto tmp5 = static_cast<float>(1);
2022-11-23T02:04:39.0866121Z                         auto tmp6 = tmp4 + tmp5;
2022-11-23T02:04:39.0866289Z                         atomic_add(&out_ptr0[i1 + (32*tmp0)], tmp6);
2022-11-23T02:04:39.0866391Z                     }
2022-11-23T02:04:39.0866470Z                 }
2022-11-23T02:04:39.0866574Z             }
2022-11-23T02:04:39.0866676Z         }
2022-11-23T02:04:39.0866830Z     }
2022-11-23T02:04:39.0866930Z }
2022-11-23T02:04:39.0867055Z ''')
2022-11-23T02:04:39.0867075Z 
2022-11-23T02:04:39.0867093Z 
2022-11-23T02:04:39.0867234Z async_compile.wait(globals())
2022-11-23T02:04:39.0867323Z del async_compile
2022-11-23T02:04:39.0867365Z 
2022-11-23T02:04:39.0867452Z def call(args):
2022-11-23T02:04:39.0867568Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.0867680Z     args.clear()
2022-11-23T02:04:39.0867963Z     buf0 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0868196Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.0868373Z     del arg0_1
2022-11-23T02:04:39.0868550Z     del arg1_1
2022-11-23T02:04:39.0868638Z     return (buf0, )
2022-11-23T02:04:39.0868658Z 
2022-11-23T02:04:39.0868676Z 
2022-11-23T02:04:39.0868796Z if __name__ == "__main__":
2022-11-23T02:04:39.0868959Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0869140Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0869422Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0869694Z     arg1_1 = rand_strided((2, 80), (80, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.0869863Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.0869883Z 
2022-11-23T02:04:39.0869993Z ok (2.712s)
2022-11-23T02:04:39.0870374Z   test_gelu_cpu (__main__.CpuTests) ... [2022-11-23 01:54:21,278] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0870810Z [2022-11-23 01:54:21,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0871112Z [2022-11-23 01:54:21,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0871462Z [2022-11-23 01:54:21,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0871845Z [2022-11-23 01:54:21,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0872283Z [2022-11-23 01:54:21,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0872756Z [2022-11-23 01:54:21,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0873191Z [2022-11-23 01:54:21,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0873761Z [2022-11-23 01:54:21,279] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9c9d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2438> 
2022-11-23T02:04:39.0873909Z  2439           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.0874026Z                2 LOAD_METHOD              1 (gelu)
2022-11-23T02:04:39.0874162Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.0874297Z                6 CALL_METHOD              1
2022-11-23T02:04:39.0874444Z                8 LOAD_CONST               1 (2)
2022-11-23T02:04:39.0874558Z               10 BINARY_ADD
2022-11-23T02:04:39.0874698Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.0874835Z               14 LOAD_METHOD              1 (gelu)
2022-11-23T02:04:39.0874946Z               16 LOAD_FAST                0 (x)
2022-11-23T02:04:39.0875081Z               18 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0875190Z               20 BINARY_ADD
2022-11-23T02:04:39.0875324Z               22 CALL_METHOD              1
2022-11-23T02:04:39.0875465Z               24 BUILD_TUPLE              2
2022-11-23T02:04:39.0875579Z               26 RETURN_VALUE
2022-11-23T02:04:39.0875678Z  
2022-11-23T02:04:39.0875698Z 
2022-11-23T02:04:39.0876161Z [2022-11-23 01:54:21,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2439
2022-11-23T02:04:39.0876472Z [2022-11-23 01:54:21,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.0876888Z [2022-11-23 01:54:21,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gelu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.0877233Z [2022-11-23 01:54:21,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.gelu)]
2022-11-23T02:04:39.0877618Z [2022-11-23 01:54:21,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T02:04:39.0877951Z [2022-11-23 01:54:21,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:39.0878338Z [2022-11-23 01:54:21,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0878681Z [2022-11-23 01:54:21,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.0879132Z [2022-11-23 01:54:21,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gelu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.0879518Z [2022-11-23 01:54:21,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.gelu)]
2022-11-23T02:04:39.0879911Z [2022-11-23 01:54:21,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T02:04:39.0880390Z [2022-11-23 01:54:21,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.gelu), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0880813Z [2022-11-23 01:54:21,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T02:04:39.0881186Z [2022-11-23 01:54:21,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0881528Z [2022-11-23 01:54:21,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0882047Z [2022-11-23 01:54:21,306] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9c9d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2438>
2022-11-23T02:04:39.0882386Z [2022-11-23 01:54:21,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0882785Z [2022-11-23 01:54:21,306] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0883133Z [2022-11-23 01:54:21,308] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0883483Z [2022-11-23 01:54:21,317] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0883728Z [2022-11-23 01:54:21,317] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0883931Z  __compiled_fn_183 <eval_with_key>.1562 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0884071Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0884231Z call_function, gelu, aten.gelu, (ex_0_,), {}
2022-11-23T02:04:39.0884476Z call_function, add, <built-in function add>, (gelu, 2), {}
2022-11-23T02:04:39.0884728Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.0884887Z call_function, gelu_1, aten.gelu, (add_1,), {}
2022-11-23T02:04:39.0885049Z output, output, output, ((add, gelu_1),), {}
2022-11-23T02:04:39.0885072Z 
2022-11-23T02:04:39.0885486Z [2022-11-23 01:54:21,318] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0885691Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0885834Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0885966Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0886107Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0886237Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0886372Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0886495Z              12 RETURN_VALUE
2022-11-23T02:04:39.0886515Z 
2022-11-23T02:04:39.0886589Z  
2022-11-23T02:04:39.0887025Z [2022-11-23 01:54:21,318] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0887262Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_183)
2022-11-23T02:04:39.0887403Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0887540Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0887663Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0887797Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.0887926Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0888076Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0888213Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0888333Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.0888486Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0888616Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0888732Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.0888866Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.0888960Z              26 RETURN_VALUE
2022-11-23T02:04:39.0888984Z 
2022-11-23T02:04:39.0889080Z  
2022-11-23T02:04:39.0889349Z [2022-11-23 01:54:21,319] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0889462Z  - 
2022-11-23T02:04:39.0889638Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0889746Z             {
2022-11-23T02:04:39.0889949Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0890187Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.0890361Z                 'obj_weakref': None
2022-11-23T02:04:39.0890673Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0890780Z             }
2022-11-23T02:04:39.0890884Z             
2022-11-23T02:04:39.0890998Z  - 
2022-11-23T02:04:39.0891184Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0891264Z             {
2022-11-23T02:04:39.0891467Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0891701Z                 'code': None,
2022-11-23T02:04:39.0891994Z                 'obj_weakref': <weakref at 0x7fa531e6e070; to 'Tensor' at 0x7fa5500f6ed0>
2022-11-23T02:04:39.0892342Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0892443Z             }
2022-11-23T02:04:39.0892547Z             
2022-11-23T02:04:39.0892635Z  - 
2022-11-23T02:04:39.0892820Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0892924Z             {
2022-11-23T02:04:39.0893117Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0893357Z                 'code': ['___check_obj_id(model, 140347991892336)'],
2022-11-23T02:04:39.0893534Z                 'obj_weakref': None
2022-11-23T02:04:39.0893851Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0893932Z             }
2022-11-23T02:04:39.0894036Z             
2022-11-23T02:04:39.0894147Z  - 
2022-11-23T02:04:39.0894330Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0894433Z             {
2022-11-23T02:04:39.0894634Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0895066Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0895229Z                 'obj_weakref': None
2022-11-23T02:04:39.0895537Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0895638Z             }
2022-11-23T02:04:39.0895742Z             
2022-11-23T02:04:39.0895851Z  - 
2022-11-23T02:04:39.0896503Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.0896685Z             {
2022-11-23T02:04:39.0896966Z                 'guard_types': None,
2022-11-23T02:04:39.0897218Z                 'code': None,
2022-11-23T02:04:39.0897498Z                 'obj_weakref': None
2022-11-23T02:04:39.0897786Z                 'guarded_class': None
2022-11-23T02:04:39.0897948Z             }
2022-11-23T02:04:39.0898115Z             
2022-11-23T02:04:39.0898538Z [2022-11-23 01:54:21,341] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 182
2022-11-23T02:04:39.0899051Z [2022-11-23 01:54:23,966] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kk/ckkrqzrclsg4axmbjwut7hquar3exf2hcgw6tdt2hedcvdaxuhs5.py
2022-11-23T02:04:39.0899415Z [2022-11-23 01:54:23,966] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 182
2022-11-23T02:04:39.0899439Z 
2022-11-23T02:04:39.0899583Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0899693Z import torch
2022-11-23T02:04:39.0899809Z import random
2022-11-23T02:04:39.0899978Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0900149Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0900169Z 
2022-11-23T02:04:39.0900288Z aten = torch.ops.aten
2022-11-23T02:04:39.0900458Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0900605Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0900625Z 
2022-11-23T02:04:39.0900645Z 
2022-11-23T02:04:39.0900838Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0901126Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0901305Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.0901451Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.0901597Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.0901670Z {
2022-11-23T02:04:39.0901821Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0901922Z     {
2022-11-23T02:04:39.0902041Z         #pragma omp for 
2022-11-23T02:04:39.0902167Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T02:04:39.0902273Z         {
2022-11-23T02:04:39.0902377Z             {
2022-11-23T02:04:39.0902457Z                 {
2022-11-23T02:04:39.0902601Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.0902962Z                     auto tmp1 = static_cast<float>(0.5);
2022-11-23T02:04:39.0903101Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.0903266Z                     auto tmp3 = static_cast<float>(0.7071067811865476);
2022-11-23T02:04:39.0903406Z                     auto tmp4 = tmp0 * tmp3;
2022-11-23T02:04:39.0903577Z                     auto tmp5 = std::erf(tmp4);
2022-11-23T02:04:39.0903707Z                     auto tmp6 = static_cast<float>(1);
2022-11-23T02:04:39.0903844Z                     auto tmp7 = tmp5 + tmp6;
2022-11-23T02:04:39.0903982Z                     auto tmp8 = tmp2 * tmp7;
2022-11-23T02:04:39.0904133Z                     auto tmp9 = static_cast<float>(2);
2022-11-23T02:04:39.0904273Z                     auto tmp10 = tmp8 + tmp9;
2022-11-23T02:04:39.0904410Z                     auto tmp11 = tmp0 + tmp6;
2022-11-23T02:04:39.0904547Z                     auto tmp12 = tmp11 * tmp1;
2022-11-23T02:04:39.0904684Z                     auto tmp13 = tmp11 * tmp3;
2022-11-23T02:04:39.0904812Z                     auto tmp14 = std::erf(tmp13);
2022-11-23T02:04:39.0904951Z                     auto tmp15 = tmp14 + tmp6;
2022-11-23T02:04:39.0905087Z                     auto tmp16 = tmp12 * tmp15;
2022-11-23T02:04:39.0905292Z                     out_ptr0[i0] = tmp10;
2022-11-23T02:04:39.0905429Z                     out_ptr1[i0] = tmp16;
2022-11-23T02:04:39.0905533Z                 }
2022-11-23T02:04:39.0905636Z             }
2022-11-23T02:04:39.0905714Z         }
2022-11-23T02:04:39.0905812Z     }
2022-11-23T02:04:39.0905911Z }
2022-11-23T02:04:39.0906051Z ''')
2022-11-23T02:04:39.0906071Z 
2022-11-23T02:04:39.0906090Z 
2022-11-23T02:04:39.0906227Z async_compile.wait(globals())
2022-11-23T02:04:39.0906344Z del async_compile
2022-11-23T02:04:39.0906363Z 
2022-11-23T02:04:39.0906475Z def call(args):
2022-11-23T02:04:39.0906561Z     arg0_1, = args
2022-11-23T02:04:39.0906676Z     args.clear()
2022-11-23T02:04:39.0906958Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0907241Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0907476Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.0907594Z     del arg0_1
2022-11-23T02:04:39.0907719Z     return (buf0, buf1, )
2022-11-23T02:04:39.0907739Z 
2022-11-23T02:04:39.0907757Z 
2022-11-23T02:04:39.0907880Z if __name__ == "__main__":
2022-11-23T02:04:39.0908025Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0908203Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0908483Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0908640Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.0908659Z 
2022-11-23T02:04:39.0908761Z ok (2.696s)
2022-11-23T02:04:39.0909168Z   test_glu_cpu (__main__.CpuTests) ... [2022-11-23 01:54:23,973] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0909596Z [2022-11-23 01:54:23,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0909898Z [2022-11-23 01:54:23,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0910222Z [2022-11-23 01:54:23,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0910601Z [2022-11-23 01:54:23,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0911033Z [2022-11-23 01:54:23,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0911499Z [2022-11-23 01:54:23,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0912035Z [2022-11-23 01:54:23,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0912547Z [2022-11-23 01:54:23,974] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9d6e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2544> 
2022-11-23T02:04:39.0912691Z  2545           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.0912834Z                2 LOAD_METHOD              1 (glu)
2022-11-23T02:04:39.0912979Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.0913154Z                6 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.0913299Z                8 CALL_METHOD              2
2022-11-23T02:04:39.0913441Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.0913581Z               12 LOAD_METHOD              1 (glu)
2022-11-23T02:04:39.0913716Z               14 LOAD_FAST                0 (x)
2022-11-23T02:04:39.0913852Z               16 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0913991Z               18 CALL_METHOD              2
2022-11-23T02:04:39.0914129Z               20 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.0914301Z               22 LOAD_METHOD              1 (glu)
2022-11-23T02:04:39.0914442Z               24 LOAD_FAST                0 (x)
2022-11-23T02:04:39.0914578Z               26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.0914710Z               28 CALL_METHOD              2
2022-11-23T02:04:39.0914849Z               30 BUILD_TUPLE              3
2022-11-23T02:04:39.0914967Z               32 RETURN_VALUE
2022-11-23T02:04:39.0915070Z  
2022-11-23T02:04:39.0915090Z 
2022-11-23T02:04:39.0915501Z [2022-11-23 01:54:23,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2545
2022-11-23T02:04:39.0915802Z [2022-11-23 01:54:23,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.0916223Z [2022-11-23 01:54:23,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.0916575Z [2022-11-23 01:54:23,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.glu)]
2022-11-23T02:04:39.0916955Z [2022-11-23 01:54:23,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(aten.glu), TensorVariable()]
2022-11-23T02:04:39.0917384Z [2022-11-23 01:54:23,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0917726Z [2022-11-23 01:54:23,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.0918170Z [2022-11-23 01:54:23,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.0918553Z [2022-11-23 01:54:23,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.glu)]
2022-11-23T02:04:39.0918967Z [2022-11-23 01:54:23,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.glu), TensorVariable()]
2022-11-23T02:04:39.0919411Z [2022-11-23 01:54:23,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0919846Z [2022-11-23 01:54:23,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0920324Z [2022-11-23 01:54:24,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.0920735Z [2022-11-23 01:54:24,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(aten.glu)]
2022-11-23T02:04:39.0921270Z [2022-11-23 01:54:24,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.glu), TensorVariable()]
2022-11-23T02:04:39.0921775Z [2022-11-23 01:54:24,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0922177Z [2022-11-23 01:54:24,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0922512Z [2022-11-23 01:54:24,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0923024Z [2022-11-23 01:54:24,010] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9d6e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2544>
2022-11-23T02:04:39.0923357Z [2022-11-23 01:54:24,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0923690Z [2022-11-23 01:54:24,010] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0924075Z [2022-11-23 01:54:24,012] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0924433Z [2022-11-23 01:54:24,020] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0924698Z [2022-11-23 01:54:24,021] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0924894Z  __compiled_fn_184 <eval_with_key>.1568 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0925030Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0925243Z call_function, glu, aten.glu, (ex_0_, -1), {}
2022-11-23T02:04:39.0925395Z call_function, glu_1, aten.glu, (ex_0_, 1), {}
2022-11-23T02:04:39.0925547Z call_function, glu_2, aten.glu, (ex_0_, 2), {}
2022-11-23T02:04:39.0925695Z output, output, output, ((glu, glu_1, glu_2),), {}
2022-11-23T02:04:39.0925715Z 
2022-11-23T02:04:39.0926163Z [2022-11-23 01:54:24,021] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0926309Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0926448Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0926579Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0926721Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0926851Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0926998Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0927092Z              12 RETURN_VALUE
2022-11-23T02:04:39.0927113Z 
2022-11-23T02:04:39.0927212Z  
2022-11-23T02:04:39.0927652Z [2022-11-23 01:54:24,022] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0927822Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_184)
2022-11-23T02:04:39.0927962Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0928097Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0928216Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0928326Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.0928482Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0928638Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0928776Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0928902Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.0929057Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0929191Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0929308Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.0929432Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0929634Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.0929755Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.0929888Z              30 BUILD_TUPLE              3
2022-11-23T02:04:39.0930003Z              32 RETURN_VALUE
2022-11-23T02:04:39.0930023Z 
2022-11-23T02:04:39.0930125Z  
2022-11-23T02:04:39.0930391Z [2022-11-23 01:54:24,023] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0930480Z  - 
2022-11-23T02:04:39.0930660Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0930764Z             {
2022-11-23T02:04:39.0930967Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0931229Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.0931402Z                 'obj_weakref': None
2022-11-23T02:04:39.0931715Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0931794Z             }
2022-11-23T02:04:39.0931895Z             
2022-11-23T02:04:39.0932011Z  - 
2022-11-23T02:04:39.0932196Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0932299Z             {
2022-11-23T02:04:39.0932501Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0932658Z                 'code': None,
2022-11-23T02:04:39.0932986Z                 'obj_weakref': <weakref at 0x7fa6237e1c60; to 'Tensor' at 0x7fa5320be6b0>
2022-11-23T02:04:39.0933348Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0933449Z             }
2022-11-23T02:04:39.0933552Z             
2022-11-23T02:04:39.0933734Z  - 
2022-11-23T02:04:39.0933920Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0934068Z             {
2022-11-23T02:04:39.0934196Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0934434Z                 'code': ['___check_obj_id(model, 140347484691264)'],
2022-11-23T02:04:39.0934606Z                 'obj_weakref': None
2022-11-23T02:04:39.0934929Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0935034Z             }
2022-11-23T02:04:39.0935131Z             
2022-11-23T02:04:39.0935240Z  - 
2022-11-23T02:04:39.0935394Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0935500Z             {
2022-11-23T02:04:39.0935699Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0935996Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0936692Z                 'obj_weakref': None
2022-11-23T02:04:39.0937221Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0937391Z             }
2022-11-23T02:04:39.0937520Z             
2022-11-23T02:04:39.0937704Z  - 
2022-11-23T02:04:39.0938001Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.0938109Z             {
2022-11-23T02:04:39.0938287Z                 'guard_types': None,
2022-11-23T02:04:39.0938450Z                 'code': None,
2022-11-23T02:04:39.0938624Z                 'obj_weakref': None
2022-11-23T02:04:39.0938776Z                 'guarded_class': None
2022-11-23T02:04:39.0938874Z             }
2022-11-23T02:04:39.0938973Z             
2022-11-23T02:04:39.0939340Z [2022-11-23 01:54:24,038] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 183
2022-11-23T02:04:39.0939843Z [2022-11-23 01:54:26,772] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oa/coadk7hukvoirxn4mwmgdrnchd3exlphmauobxqpagneoks3mlgo.py
2022-11-23T02:04:39.0940209Z [2022-11-23 01:54:26,772] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 183
2022-11-23T02:04:39.0940233Z 
2022-11-23T02:04:39.0940375Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0940492Z import torch
2022-11-23T02:04:39.0940577Z import random
2022-11-23T02:04:39.0940744Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0941067Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0941087Z 
2022-11-23T02:04:39.0941212Z aten = torch.ops.aten
2022-11-23T02:04:39.0941404Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0941549Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0941569Z 
2022-11-23T02:04:39.0941587Z 
2022-11-23T02:04:39.0941788Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0942050Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0942221Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.0942369Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.0942514Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.0942657Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.0942756Z {
2022-11-23T02:04:39.0942904Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0943007Z     {
2022-11-23T02:04:39.0943104Z         #pragma omp for 
2022-11-23T02:04:39.0943230Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T02:04:39.0943332Z         {
2022-11-23T02:04:39.0943453Z             #pragma GCC ivdep
2022-11-23T02:04:39.0943575Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.0943754Z             {
2022-11-23T02:04:39.0943840Z                 {
2022-11-23T02:04:39.0943946Z                     {
2022-11-23T02:04:39.0944098Z                         auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:39.0944260Z                         auto tmp1 = in_ptr0[4 + i1 + (8*i0)];
2022-11-23T02:04:39.0944510Z                         auto tmp2 = std::exp(-tmp1);
2022-11-23T02:04:39.0944648Z                         auto tmp3 = 1 / (1 + tmp2);
2022-11-23T02:04:39.0944789Z                         auto tmp4 = tmp0 * tmp3;
2022-11-23T02:04:39.0944934Z                         out_ptr0[i1 + (4*i0)] = tmp4;
2022-11-23T02:04:39.0945017Z                     }
2022-11-23T02:04:39.0945120Z                 }
2022-11-23T02:04:39.0945226Z             }
2022-11-23T02:04:39.0945326Z         }
2022-11-23T02:04:39.0945446Z         #pragma omp for 
2022-11-23T02:04:39.0945568Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.0945643Z         {
2022-11-23T02:04:39.0945776Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T02:04:39.0945874Z             {
2022-11-23T02:04:39.0946082Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (1024*i0));
2022-11-23T02:04:39.0946296Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 512 + (8*i1) + (1024*i0));
2022-11-23T02:04:39.0946566Z                 auto tmp2 = decltype(tmp1)(1)/(decltype(tmp1)(1) + tmp1.neg().exp());
2022-11-23T02:04:39.0946766Z                 auto tmp3 = tmp0 * tmp2;
2022-11-23T02:04:39.0946918Z                 tmp3.store(out_ptr1 + (8*i1) + (512*i0));
2022-11-23T02:04:39.0946997Z             }
2022-11-23T02:04:39.0947136Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.0947276Z             for(long i1=512; i1<512; i1+=1)
2022-11-23T02:04:39.0947377Z             {
2022-11-23T02:04:39.0947524Z                 auto tmp0 = in_ptr0[i1 + (1024*i0)];
2022-11-23T02:04:39.0947678Z                 auto tmp1 = in_ptr0[512 + i1 + (1024*i0)];
2022-11-23T02:04:39.0947891Z                 auto tmp2 = std::exp(-tmp1);
2022-11-23T02:04:39.0948004Z                 auto tmp3 = 1 / (1 + tmp2);
2022-11-23T02:04:39.0948136Z                 auto tmp4 = tmp0 * tmp3;
2022-11-23T02:04:39.0948275Z                 out_ptr1[i1 + (512*i0)] = tmp4;
2022-11-23T02:04:39.0948377Z             }
2022-11-23T02:04:39.0948477Z         }
2022-11-23T02:04:39.0948593Z         #pragma omp for 
2022-11-23T02:04:39.0948721Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T02:04:39.0948797Z         {
2022-11-23T02:04:39.0948921Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.0949024Z             {
2022-11-23T02:04:39.0949224Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (64*i0));
2022-11-23T02:04:39.0949500Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 32 + (8*i1) + (64*i0));
2022-11-23T02:04:39.0949699Z                 auto tmp2 = decltype(tmp1)(1)/(decltype(tmp1)(1) + tmp1.neg().exp());
2022-11-23T02:04:39.0949835Z                 auto tmp3 = tmp0 * tmp2;
2022-11-23T02:04:39.0949966Z                 tmp3.store(out_ptr2 + (8*i1) + (32*i0));
2022-11-23T02:04:39.0950068Z             }
2022-11-23T02:04:39.0950208Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.0950341Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T02:04:39.0950440Z             {
2022-11-23T02:04:39.0950590Z                 auto tmp0 = in_ptr0[i1 + (64*i0)];
2022-11-23T02:04:39.0950735Z                 auto tmp1 = in_ptr0[32 + i1 + (64*i0)];
2022-11-23T02:04:39.0950925Z                 auto tmp2 = std::exp(-tmp1);
2022-11-23T02:04:39.0951058Z                 auto tmp3 = 1 / (1 + tmp2);
2022-11-23T02:04:39.0951190Z                 auto tmp4 = tmp0 * tmp3;
2022-11-23T02:04:39.0951333Z                 out_ptr2[i1 + (32*i0)] = tmp4;
2022-11-23T02:04:39.0951436Z             }
2022-11-23T02:04:39.0951533Z         }
2022-11-23T02:04:39.0951631Z     }
2022-11-23T02:04:39.0951704Z }
2022-11-23T02:04:39.0951830Z ''')
2022-11-23T02:04:39.0951850Z 
2022-11-23T02:04:39.0951868Z 
2022-11-23T02:04:39.0952060Z async_compile.wait(globals())
2022-11-23T02:04:39.0952181Z del async_compile
2022-11-23T02:04:39.0952200Z 
2022-11-23T02:04:39.0952318Z def call(args):
2022-11-23T02:04:39.0952435Z     arg0_1, = args
2022-11-23T02:04:39.0952546Z     args.clear()
2022-11-23T02:04:39.0952851Z     buf0 = empty_strided((8, 16, 8, 4), (512, 32, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0953123Z     buf1 = empty_strided((8, 8, 8, 8), (512, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0953411Z     buf2 = empty_strided((8, 16, 4, 8), (512, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0953676Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.0953794Z     del arg0_1
2022-11-23T02:04:39.0953922Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:39.0953941Z 
2022-11-23T02:04:39.0953960Z 
2022-11-23T02:04:39.0954076Z if __name__ == "__main__":
2022-11-23T02:04:39.0954249Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.0954427Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.0954706Z     arg0_1 = rand_strided((8, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.0954868Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.0954887Z 
2022-11-23T02:04:39.0954993Z ok (2.807s)
2022-11-23T02:04:39.0955428Z   test_grid_sampler_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:54:26,827] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.0955858Z [2022-11-23 01:54:26,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.0956166Z [2022-11-23 01:54:26,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.0956523Z [2022-11-23 01:54:26,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.0956905Z [2022-11-23 01:54:26,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.0957346Z [2022-11-23 01:54:26,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0957789Z [2022-11-23 01:54:26,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0958224Z [2022-11-23 01:54:26,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.0958803Z [2022-11-23 01:54:26,829] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f889d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3053> 
2022-11-23T02:04:39.0958955Z  3055           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.0959119Z                2 LOAD_METHOD              1 (grid_sampler_2d)
2022-11-23T02:04:39.0959260Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0959399Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.0959533Z                8 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0959674Z               10 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0959789Z               12 LOAD_CONST               2 (True)
2022-11-23T02:04:39.0959923Z               14 CALL_METHOD              5
2022-11-23T02:04:39.0959943Z 
2022-11-23T02:04:39.0960081Z 3056          16 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.0960236Z               18 LOAD_METHOD              1 (grid_sampler_2d)
2022-11-23T02:04:39.0960378Z               20 LOAD_FAST                0 (a)
2022-11-23T02:04:39.0960510Z               22 LOAD_FAST                1 (b)
2022-11-23T02:04:39.0960641Z               24 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0960803Z               26 LOAD_CONST               3 (1)
2022-11-23T02:04:39.0960955Z               28 LOAD_CONST               4 (False)
2022-11-23T02:04:39.0961086Z               30 CALL_METHOD              5
2022-11-23T02:04:39.0961106Z 
2022-11-23T02:04:39.0961240Z 3054          32 BUILD_TUPLE              2
2022-11-23T02:04:39.0961361Z               34 RETURN_VALUE
2022-11-23T02:04:39.0961459Z  
2022-11-23T02:04:39.0961479Z 
2022-11-23T02:04:39.0961919Z [2022-11-23 01:54:26,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3055
2022-11-23T02:04:39.0962219Z [2022-11-23 01:54:26,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.0962663Z [2022-11-23 01:54:26,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR grid_sampler_2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.0963010Z [2022-11-23 01:54:26,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.grid_sampler_2d)]
2022-11-23T02:04:39.0963413Z [2022-11-23 01:54:26,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.grid_sampler_2d), TensorVariable()]
2022-11-23T02:04:39.0963850Z [2022-11-23 01:54:26,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0964337Z [2022-11-23 01:54:26,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0964883Z [2022-11-23 01:54:26,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.0965479Z [2022-11-23 01:54:26,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T02:04:39.0965904Z [2022-11-23 01:54:26,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3056
2022-11-23T02:04:39.0966250Z [2022-11-23 01:54:26,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.0966718Z [2022-11-23 01:54:26,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR grid_sampler_2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.0967118Z [2022-11-23 01:54:26,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.grid_sampler_2d)]
2022-11-23T02:04:39.0967652Z [2022-11-23 01:54:26,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable()]
2022-11-23T02:04:39.0968128Z [2022-11-23 01:54:26,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0968631Z [2022-11-23 01:54:26,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.0969213Z [2022-11-23 01:54:26,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.0969835Z [2022-11-23 01:54:26,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T02:04:39.0970335Z [2022-11-23 01:54:27,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3054
2022-11-23T02:04:39.0970714Z [2022-11-23 01:54:27,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.0971053Z [2022-11-23 01:54:27,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0971569Z [2022-11-23 01:54:27,016] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f889d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3053>
2022-11-23T02:04:39.0971903Z [2022-11-23 01:54:27,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.0972234Z [2022-11-23 01:54:27,016] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.0972585Z [2022-11-23 01:54:27,018] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.0972935Z [2022-11-23 01:54:27,167] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.0973181Z [2022-11-23 01:54:27,167] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.0973378Z  __compiled_fn_185 <eval_with_key>.1574 opcode, name, target, args, kwargs
2022-11-23T02:04:39.0973513Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.0973647Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.0973851Z call_function, grid_sampler_2d, aten.grid_sampler_2d, (ex_0_, ex_1_, 0, 0, True), {}
2022-11-23T02:04:39.0974059Z call_function, grid_sampler_2d_1, aten.grid_sampler_2d, (ex_0_, ex_1_, 0, 1, False), {}
2022-11-23T02:04:39.0974252Z output, output, output, ((grid_sampler_2d, grid_sampler_2d_1),), {}
2022-11-23T02:04:39.0974277Z 
2022-11-23T02:04:39.0974719Z [2022-11-23 01:54:27,168] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0974864Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.0974980Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0975111Z               4 BUILD_MAP                0
2022-11-23T02:04:39.0975255Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.0975386Z               8 DICT_MERGE               1
2022-11-23T02:04:39.0975524Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.0975641Z              12 RETURN_VALUE
2022-11-23T02:04:39.0975662Z 
2022-11-23T02:04:39.0975764Z  
2022-11-23T02:04:39.0976962Z [2022-11-23 01:54:27,168] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.0977484Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_185)
2022-11-23T02:04:39.0977695Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0977909Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0978095Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.0978280Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.0978415Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0978510Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.0978650Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.0978805Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.0978951Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0979085Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.0979207Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.0979349Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.0979490Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.0979584Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.0979716Z              30 BUILD_TUPLE              2
2022-11-23T02:04:39.0979833Z              32 RETURN_VALUE
2022-11-23T02:04:39.0979852Z 
2022-11-23T02:04:39.0979946Z  
2022-11-23T02:04:39.0980323Z [2022-11-23 01:54:27,169] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.0980447Z  - 
2022-11-23T02:04:39.0980625Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.0980705Z             {
2022-11-23T02:04:39.0980906Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.0981173Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.0981348Z                 'obj_weakref': None
2022-11-23T02:04:39.0981658Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.0981763Z             }
2022-11-23T02:04:39.0981864Z             
2022-11-23T02:04:39.0981957Z  - 
2022-11-23T02:04:39.0982142Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.0982243Z             {
2022-11-23T02:04:39.0982449Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0982605Z                 'code': None,
2022-11-23T02:04:39.0982904Z                 'obj_weakref': <weakref at 0x7fa53200ee30; to 'Tensor' at 0x7fa53c357c90>
2022-11-23T02:04:39.0983252Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0983333Z             }
2022-11-23T02:04:39.0983435Z             
2022-11-23T02:04:39.0983544Z  - 
2022-11-23T02:04:39.0983724Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.0983828Z             {
2022-11-23T02:04:39.0984031Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.0984187Z                 'code': None,
2022-11-23T02:04:39.0984456Z                 'obj_weakref': <weakref at 0x7fa531ec4a40; to 'Tensor' at 0x7fa550055c10>
2022-11-23T02:04:39.0984810Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.0984914Z             }
2022-11-23T02:04:39.0985016Z             
2022-11-23T02:04:39.0985130Z  - 
2022-11-23T02:04:39.0985324Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.0985427Z             {
2022-11-23T02:04:39.0985596Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.0985832Z                 'code': ['___check_obj_id(model, 140347657466304)'],
2022-11-23T02:04:39.0986008Z                 'obj_weakref': None
2022-11-23T02:04:39.0986326Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.0986426Z             }
2022-11-23T02:04:39.0986532Z             
2022-11-23T02:04:39.0986642Z  - 
2022-11-23T02:04:39.0986794Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.0986896Z             {
2022-11-23T02:04:39.0987142Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.0987511Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.0987689Z                 'obj_weakref': None
2022-11-23T02:04:39.0988005Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.0988105Z             }
2022-11-23T02:04:39.0988183Z             
2022-11-23T02:04:39.0988294Z  - 
2022-11-23T02:04:39.0988482Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.0988584Z             {
2022-11-23T02:04:39.0988754Z                 'guard_types': None,
2022-11-23T02:04:39.0988912Z                 'code': None,
2022-11-23T02:04:39.0989060Z                 'obj_weakref': None
2022-11-23T02:04:39.0989237Z                 'guarded_class': None
2022-11-23T02:04:39.0989340Z             }
2022-11-23T02:04:39.0989438Z             
2022-11-23T02:04:39.0989793Z [2022-11-23 01:54:27,496] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 184
2022-11-23T02:04:39.0990084Z [2022-11-23 01:54:28,659] torch._inductor.scheduler: [DEBUG] remove_buffer('buf3')
2022-11-23T02:04:39.0990366Z [2022-11-23 01:54:28,660] torch._inductor.scheduler: [DEBUG] remove_buffer('buf2')
2022-11-23T02:04:39.0990695Z [2022-11-23 01:54:28,660] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2022-11-23T02:04:39.0990955Z [2022-11-23 01:54:28,660] torch._inductor.scheduler: [DEBUG] remove_buffer('buf7')
2022-11-23T02:04:39.0991228Z [2022-11-23 01:54:28,660] torch._inductor.scheduler: [DEBUG] remove_buffer('buf4')
2022-11-23T02:04:39.0991250Z 
2022-11-23T02:04:39.0991394Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.0991503Z import torch
2022-11-23T02:04:39.0991613Z import random
2022-11-23T02:04:39.0991781Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.0991954Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.0991974Z 
2022-11-23T02:04:39.0992095Z aten = torch.ops.aten
2022-11-23T02:04:39.0992270Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.0992409Z async_compile = AsyncCompile()
2022-11-23T02:04:39.0992429Z 
2022-11-23T02:04:39.0992448Z 
2022-11-23T02:04:39.0992649Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.0992938Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.0993113Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.0993273Z                        float* __restrict__ in_out_ptr1,
2022-11-23T02:04:39.0993422Z                        float* __restrict__ in_out_ptr2,
2022-11-23T02:04:39.0993575Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.0993704Z                        const float* __restrict__ in_ptr1)
2022-11-23T02:04:39.0993802Z {
2022-11-23T02:04:39.0993950Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.0994047Z     {
2022-11-23T02:04:39.0994179Z         #pragma omp for  collapse(3)
2022-11-23T02:04:39.0994307Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.0994384Z         {
2022-11-23T02:04:39.0994512Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:39.0994618Z             {
2022-11-23T02:04:39.0994755Z                 for(long i2=0; i2<123904; i2+=1)
2022-11-23T02:04:39.0994862Z                 {
2022-11-23T02:04:39.0994966Z                     {
2022-11-23T02:04:39.0995075Z                         {
2022-11-23T02:04:39.0995213Z                             auto tmp2 = in_ptr0[(2*i2) + (247808*i0)];
2022-11-23T02:04:39.0995378Z                             auto tmp11 = in_ptr0[1 + (2*i2) + (247808*i0)];
2022-11-23T02:04:39.0995540Z                             auto tmp0 = static_cast<long>(i0);
2022-11-23T02:04:39.0995697Z                             auto tmp1 = static_cast<long>(i1);
2022-11-23T02:04:39.0995861Z                             auto tmp3 = static_cast<float>(175.5);
2022-11-23T02:04:39.0996006Z                             auto tmp4 = tmp2 * tmp3;
2022-11-23T02:04:39.0996217Z                             auto tmp5 = tmp4 + tmp3;
2022-11-23T02:04:39.0996418Z                             auto tmp6 = std::floor(tmp5);
2022-11-23T02:04:39.0996551Z                             auto tmp7 = static_cast<float>(0);
2022-11-23T02:04:39.0996699Z                             auto tmp8 = tmp6 >= tmp7;
2022-11-23T02:04:39.0996862Z                             auto tmp9 = static_cast<float>(352);
2022-11-23T02:04:39.0997010Z                             auto tmp10 = tmp6 < tmp9;
2022-11-23T02:04:39.0997158Z                             auto tmp12 = tmp11 * tmp3;
2022-11-23T02:04:39.0997304Z                             auto tmp13 = tmp12 + tmp3;
2022-11-23T02:04:39.0997461Z                             auto tmp14 = std::floor(tmp13);
2022-11-23T02:04:39.0997583Z                             auto tmp15 = tmp14 >= tmp7;
2022-11-23T02:04:39.0997729Z                             auto tmp16 = tmp14 < tmp9;
2022-11-23T02:04:39.0997878Z                             auto tmp17 = tmp15 && tmp16;
2022-11-23T02:04:39.0998029Z                             auto tmp18 = tmp10 && tmp17;
2022-11-23T02:04:39.0998172Z                             auto tmp19 = tmp8 && tmp18;
2022-11-23T02:04:39.0998339Z                             auto tmp20 = static_cast<long>(tmp14);
2022-11-23T02:04:39.0998555Z                             auto tmp21 = static_cast<long>(0);
2022-11-23T02:04:39.0998718Z                             auto tmp22 = tmp19 ? tmp20 : tmp21;
2022-11-23T02:04:39.0998856Z                             auto tmp23 = static_cast<long>(tmp6);
2022-11-23T02:04:39.0999010Z                             auto tmp24 = tmp19 ? tmp23 : tmp21;
2022-11-23T02:04:39.0999203Z                             auto tmp25 = in_ptr1[tmp24 + (352*tmp22) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T02:04:39.0999365Z                             auto tmp26 = static_cast<float>(1);
2022-11-23T02:04:39.0999512Z                             auto tmp27 = tmp6 + tmp26;
2022-11-23T02:04:39.0999740Z                             auto tmp28 = tmp27 - tmp5;
2022-11-23T02:04:39.0999892Z                             auto tmp29 = tmp14 + tmp26;
2022-11-23T02:04:39.1000102Z                             auto tmp30 = tmp29 - tmp13;
2022-11-23T02:04:39.1000224Z                             auto tmp31 = tmp28 * tmp30;
2022-11-23T02:04:39.1000388Z                             auto tmp32 = tmp19 ? tmp31 : tmp7;
2022-11-23T02:04:39.1000532Z                             auto tmp33 = tmp25 * tmp32;
2022-11-23T02:04:39.1000680Z                             auto tmp34 = tmp27 >= tmp7;
2022-11-23T02:04:39.1000826Z                             auto tmp35 = tmp27 < tmp9;
2022-11-23T02:04:39.1000970Z                             auto tmp36 = tmp35 && tmp17;
2022-11-23T02:04:39.1001196Z                             auto tmp37 = tmp34 && tmp36;
2022-11-23T02:04:39.1001326Z                             auto tmp38 = tmp37 ? tmp20 : tmp21;
2022-11-23T02:04:39.1001491Z                             auto tmp39 = static_cast<long>(tmp27);
2022-11-23T02:04:39.1001647Z                             auto tmp40 = tmp37 ? tmp39 : tmp21;
2022-11-23T02:04:39.1001839Z                             auto tmp41 = in_ptr1[tmp40 + (352*tmp38) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T02:04:39.1002059Z                             auto tmp42 = tmp5 - tmp6;
2022-11-23T02:04:39.1002208Z                             auto tmp43 = tmp42 * tmp30;
2022-11-23T02:04:39.1002363Z                             auto tmp44 = tmp37 ? tmp43 : tmp7;
2022-11-23T02:04:39.1002510Z                             auto tmp45 = tmp41 * tmp44;
2022-11-23T02:04:39.1002628Z                             auto tmp46 = tmp29 >= tmp7;
2022-11-23T02:04:39.1002773Z                             auto tmp47 = tmp29 < tmp9;
2022-11-23T02:04:39.1002918Z                             auto tmp48 = tmp46 && tmp47;
2022-11-23T02:04:39.1003067Z                             auto tmp49 = tmp10 && tmp48;
2022-11-23T02:04:39.1003208Z                             auto tmp50 = tmp8 && tmp49;
2022-11-23T02:04:39.1003375Z                             auto tmp51 = static_cast<long>(tmp29);
2022-11-23T02:04:39.1003600Z                             auto tmp52 = tmp50 ? tmp51 : tmp21;
2022-11-23T02:04:39.1003729Z                             auto tmp53 = tmp50 ? tmp23 : tmp21;
2022-11-23T02:04:39.1003930Z                             auto tmp54 = in_ptr1[tmp53 + (352*tmp52) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T02:04:39.1004153Z                             auto tmp55 = tmp13 - tmp14;
2022-11-23T02:04:39.1004300Z                             auto tmp56 = tmp28 * tmp55;
2022-11-23T02:04:39.1004455Z                             auto tmp57 = tmp50 ? tmp56 : tmp7;
2022-11-23T02:04:39.1004596Z                             auto tmp58 = tmp54 * tmp57;
2022-11-23T02:04:39.1004740Z                             auto tmp59 = tmp35 && tmp48;
2022-11-23T02:04:39.1004888Z                             auto tmp60 = tmp34 && tmp59;
2022-11-23T02:04:39.1005018Z                             auto tmp61 = tmp60 ? tmp51 : tmp21;
2022-11-23T02:04:39.1005176Z                             auto tmp62 = tmp60 ? tmp39 : tmp21;
2022-11-23T02:04:39.1005377Z                             auto tmp63 = in_ptr1[tmp62 + (352*tmp61) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T02:04:39.1005524Z                             auto tmp64 = tmp33 + tmp45;
2022-11-23T02:04:39.1005667Z                             auto tmp65 = tmp64 + tmp58;
2022-11-23T02:04:39.1005871Z                             auto tmp66 = tmp42 * tmp55;
2022-11-23T02:04:39.1006031Z                             auto tmp67 = tmp60 ? tmp66 : tmp7;
2022-11-23T02:04:39.1006174Z                             auto tmp68 = tmp63 * tmp67;
2022-11-23T02:04:39.1006291Z                             auto tmp69 = tmp65 + tmp68;
2022-11-23T02:04:39.1006460Z                             auto tmp70 = static_cast<float>(176.0);
2022-11-23T02:04:39.1006607Z                             auto tmp71 = tmp2 * tmp70;
2022-11-23T02:04:39.1006755Z                             auto tmp72 = tmp71 + tmp3;
2022-11-23T02:04:39.1006914Z                             auto tmp73 = static_cast<float>(0.0);
2022-11-23T02:04:39.1007096Z                             auto tmp74 = std::max(tmp72, tmp73);
2022-11-23T02:04:39.1007262Z                             auto tmp75 = static_cast<float>(351.0);
2022-11-23T02:04:39.1007399Z                             auto tmp76 = std::min(tmp74, tmp75);
2022-11-23T02:04:39.1007562Z                             auto tmp77 = std::floor(tmp76);
2022-11-23T02:04:39.1007707Z                             auto tmp78 = tmp77 >= tmp7;
2022-11-23T02:04:39.1007849Z                             auto tmp79 = tmp77 < tmp9;
2022-11-23T02:04:39.1007995Z                             auto tmp80 = tmp11 * tmp70;
2022-11-23T02:04:39.1008138Z                             auto tmp81 = tmp80 + tmp3;
2022-11-23T02:04:39.1008300Z                             auto tmp82 = std::max(tmp81, tmp73);
2022-11-23T02:04:39.1008457Z                             auto tmp83 = std::min(tmp82, tmp75);
2022-11-23T02:04:39.1008591Z                             auto tmp84 = std::floor(tmp83);
2022-11-23T02:04:39.1008741Z                             auto tmp85 = tmp84 >= tmp7;
2022-11-23T02:04:39.1008891Z                             auto tmp86 = tmp84 < tmp9;
2022-11-23T02:04:39.1009038Z                             auto tmp87 = tmp85 && tmp86;
2022-11-23T02:04:39.1009184Z                             auto tmp88 = tmp79 && tmp87;
2022-11-23T02:04:39.1009332Z                             auto tmp89 = tmp78 && tmp88;
2022-11-23T02:04:39.1009495Z                             auto tmp90 = static_cast<long>(tmp84);
2022-11-23T02:04:39.1009647Z                             auto tmp91 = tmp89 ? tmp90 : tmp21;
2022-11-23T02:04:39.1009785Z                             auto tmp92 = static_cast<long>(tmp77);
2022-11-23T02:04:39.1009942Z                             auto tmp93 = tmp89 ? tmp92 : tmp21;
2022-11-23T02:04:39.1010128Z                             auto tmp94 = in_ptr1[tmp93 + (352*tmp91) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T02:04:39.1010272Z                             auto tmp95 = tmp77 + tmp26;
2022-11-23T02:04:39.1010416Z                             auto tmp96 = tmp95 >= tmp7;
2022-11-23T02:04:39.1010629Z                             auto tmp97 = tmp95 < tmp9;
2022-11-23T02:04:39.1010778Z                             auto tmp98 = tmp97 && tmp87;
2022-11-23T02:04:39.1010899Z                             auto tmp99 = tmp96 && tmp98;
2022-11-23T02:04:39.1011066Z                             auto tmp100 = tmp99 ? tmp90 : tmp21;
2022-11-23T02:04:39.1011231Z                             auto tmp101 = static_cast<long>(tmp95);
2022-11-23T02:04:39.1011388Z                             auto tmp102 = tmp99 ? tmp101 : tmp21;
2022-11-23T02:04:39.1011581Z                             auto tmp103 = in_ptr1[tmp102 + (352*tmp100) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T02:04:39.1011809Z                             auto tmp104 = tmp95 - tmp76;
2022-11-23T02:04:39.1011956Z                             auto tmp105 = tmp84 + tmp26;
2022-11-23T02:04:39.1012177Z                             auto tmp106 = tmp105 - tmp83;
2022-11-23T02:04:39.1012303Z                             auto tmp107 = tmp104 * tmp106;
2022-11-23T02:04:39.1012465Z                             auto tmp108 = tmp89 ? tmp107 : tmp7;
2022-11-23T02:04:39.1012608Z                             auto tmp109 = tmp94 * tmp108;
2022-11-23T02:04:39.1012823Z                             auto tmp110 = tmp76 - tmp77;
2022-11-23T02:04:39.1013020Z                             auto tmp111 = tmp110 * tmp106;
2022-11-23T02:04:39.1013185Z                             auto tmp112 = tmp99 ? tmp111 : tmp7;
2022-11-23T02:04:39.1013335Z                             auto tmp113 = tmp103 * tmp112;
2022-11-23T02:04:39.1013459Z                             auto tmp114 = tmp109 + tmp113;
2022-11-23T02:04:39.1013669Z                             auto tmp115 = tmp105 >= tmp7;
2022-11-23T02:04:39.1013812Z                             auto tmp116 = tmp105 < tmp9;
2022-11-23T02:04:39.1013962Z                             auto tmp117 = tmp115 && tmp116;
2022-11-23T02:04:39.1014106Z                             auto tmp118 = tmp79 && tmp117;
2022-11-23T02:04:39.1014258Z                             auto tmp119 = tmp78 && tmp118;
2022-11-23T02:04:39.1014425Z                             auto tmp120 = static_cast<long>(tmp105);
2022-11-23T02:04:39.1014583Z                             auto tmp121 = tmp119 ? tmp120 : tmp21;
2022-11-23T02:04:39.1014718Z                             auto tmp122 = tmp119 ? tmp92 : tmp21;
2022-11-23T02:04:39.1014909Z                             auto tmp123 = in_ptr1[tmp122 + (352*tmp121) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T02:04:39.1015053Z                             auto tmp124 = tmp97 && tmp117;
2022-11-23T02:04:39.1015201Z                             auto tmp125 = tmp96 && tmp124;
2022-11-23T02:04:39.1015352Z                             auto tmp126 = tmp125 ? tmp120 : tmp21;
2022-11-23T02:04:39.1015507Z                             auto tmp127 = tmp125 ? tmp101 : tmp21;
2022-11-23T02:04:39.1015700Z                             auto tmp128 = in_ptr1[tmp127 + (352*tmp126) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T02:04:39.1015929Z                             auto tmp129 = tmp83 - tmp84;
2022-11-23T02:04:39.1016591Z                             auto tmp130 = tmp104 * tmp129;
2022-11-23T02:04:39.1016860Z                             auto tmp131 = tmp119 ? tmp130 : tmp7;
2022-11-23T02:04:39.1017094Z                             auto tmp132 = tmp123 * tmp131;
2022-11-23T02:04:39.1017337Z                             auto tmp133 = tmp114 + tmp132;
2022-11-23T02:04:39.1017566Z                             auto tmp134 = tmp110 * tmp129;
2022-11-23T02:04:39.1017822Z                             auto tmp135 = tmp125 ? tmp134 : tmp7;
2022-11-23T02:04:39.1018058Z                             auto tmp136 = tmp128 * tmp135;
2022-11-23T02:04:39.1018284Z                             auto tmp137 = tmp133 + tmp136;
2022-11-23T02:04:39.1018433Z                             in_out_ptr0[i2 + (123904*i1) + (371712*i0)] = tmp69;
2022-11-23T02:04:39.1018595Z                             in_out_ptr2[i2 + (123904*i1) + (371712*i0)] = tmp137;
2022-11-23T02:04:39.1018840Z                         }
2022-11-23T02:04:39.1018947Z                     }
2022-11-23T02:04:39.1019054Z                 }
2022-11-23T02:04:39.1019156Z             }
2022-11-23T02:04:39.1019256Z         }
2022-11-23T02:04:39.1019333Z     }
2022-11-23T02:04:39.1019427Z }
2022-11-23T02:04:39.1019570Z ''')
2022-11-23T02:04:39.1019597Z 
2022-11-23T02:04:39.1019615Z 
2022-11-23T02:04:39.1019758Z async_compile.wait(globals())
2022-11-23T02:04:39.1019870Z del async_compile
2022-11-23T02:04:39.1019890Z 
2022-11-23T02:04:39.1020003Z def call(args):
2022-11-23T02:04:39.1020119Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.1020208Z     args.clear()
2022-11-23T02:04:39.1020531Z     buf1 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1020662Z     buf10 = buf1; del buf1  # reuse
2022-11-23T02:04:39.1020972Z     buf5 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1021100Z     buf6 = buf5; del buf5  # reuse
2022-11-23T02:04:39.1021415Z     buf8 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1021547Z     buf9 = buf8; del buf8  # reuse
2022-11-23T02:04:39.1021911Z     kernel_cpp_0(c_void_p(buf10.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2022-11-23T02:04:39.1022006Z     del arg0_1
2022-11-23T02:04:39.1022111Z     del arg1_1
2022-11-23T02:04:39.1022228Z     return (buf10, buf9, )
2022-11-23T02:04:39.1022248Z 
2022-11-23T02:04:39.1022267Z 
2022-11-23T02:04:39.1022376Z if __name__ == "__main__":
2022-11-23T02:04:39.1022538Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1022714Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1023026Z     arg0_1 = rand_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1023306Z     arg1_1 = rand_strided((4, 352, 352, 2), (247808, 704, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1023473Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.1023966Z [2022-11-23 01:54:31,306] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yv/cyv6w4wdyohteecl5pl4pgkvouqkv7q36zn47c7jieg6w7kzgebd.py
2022-11-23T02:04:39.1024328Z [2022-11-23 01:54:31,306] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 184
2022-11-23T02:04:39.1024348Z 
2022-11-23T02:04:39.1024451Z ok (4.580s)
2022-11-23T02:04:39.1024865Z   test_hardsigmoid_cpu (__main__.CpuTests) ... [2022-11-23 01:54:31,360] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1025286Z [2022-11-23 01:54:31,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1025619Z [2022-11-23 01:54:31,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1025967Z [2022-11-23 01:54:31,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1026340Z [2022-11-23 01:54:31,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1026756Z [2022-11-23 01:54:31,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1027220Z [2022-11-23 01:54:31,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1027648Z [2022-11-23 01:54:31,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1028152Z [2022-11-23 01:54:31,365] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9df20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2620> 
2022-11-23T02:04:39.1028382Z  2621           0 LOAD_GLOBAL              0 (F)
2022-11-23T02:04:39.1028533Z                2 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T02:04:39.1028666Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.1028800Z                6 CALL_METHOD              1
2022-11-23T02:04:39.1028938Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T02:04:39.1029067Z               10 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T02:04:39.1029208Z               12 LOAD_FAST                0 (x)
2022-11-23T02:04:39.1029338Z               14 LOAD_CONST               1 (3)
2022-11-23T02:04:39.1029447Z               16 BINARY_ADD
2022-11-23T02:04:39.1029576Z               18 CALL_METHOD              1
2022-11-23T02:04:39.1029708Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T02:04:39.1029850Z               22 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T02:04:39.1029959Z               24 LOAD_FAST                0 (x)
2022-11-23T02:04:39.1030091Z               26 LOAD_CONST               1 (3)
2022-11-23T02:04:39.1030208Z               28 BINARY_SUBTRACT
2022-11-23T02:04:39.1030332Z               30 CALL_METHOD              1
2022-11-23T02:04:39.1030512Z               32 BUILD_TUPLE              3
2022-11-23T02:04:39.1030631Z               34 RETURN_VALUE
2022-11-23T02:04:39.1030724Z  
2022-11-23T02:04:39.1030744Z 
2022-11-23T02:04:39.1031157Z [2022-11-23 01:54:31,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2621
2022-11-23T02:04:39.1031453Z [2022-11-23 01:54:31,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T02:04:39.1032010Z [2022-11-23 01:54:31,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.1032413Z [2022-11-23 01:54:31,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardsigmoid at 0x7fa55b6d75b0>)]
2022-11-23T02:04:39.1032865Z [2022-11-23 01:54:31,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardsigmoid at 0x7fa55b6d75b0>), TensorVariable()]
2022-11-23T02:04:39.1033193Z [2022-11-23 01:54:31,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T02:04:39.1033784Z [2022-11-23 01:54:31,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.1034221Z [2022-11-23 01:54:31,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7fa55b6d75b0>)]
2022-11-23T02:04:39.1034694Z [2022-11-23 01:54:31,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7fa55b6d75b0>), TensorVariable()]
2022-11-23T02:04:39.1035263Z [2022-11-23 01:54:31,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7fa55b6d75b0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1035719Z [2022-11-23 01:54:31,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7fa55b6d75b0>), TensorVariable()]
2022-11-23T02:04:39.1036088Z [2022-11-23 01:54:31,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1036711Z [2022-11-23 01:54:31,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.1037166Z [2022-11-23 01:54:31,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7fa55b6d75b0>)]
2022-11-23T02:04:39.1037806Z [2022-11-23 01:54:31,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7fa55b6d75b0>), TensorVariable()]
2022-11-23T02:04:39.1038382Z [2022-11-23 01:54:31,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7fa55b6d75b0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1038891Z [2022-11-23 01:54:31,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7fa55b6d75b0>), TensorVariable()]
2022-11-23T02:04:39.1039293Z [2022-11-23 01:54:31,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1039633Z [2022-11-23 01:54:31,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1040196Z [2022-11-23 01:54:31,389] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9df20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2620>
2022-11-23T02:04:39.1040530Z [2022-11-23 01:54:31,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1040848Z [2022-11-23 01:54:31,389] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1041198Z [2022-11-23 01:54:31,391] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1041534Z [2022-11-23 01:54:31,408] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1041782Z [2022-11-23 01:54:31,409] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1041979Z  __compiled_fn_186 <eval_with_key>.1580 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1042110Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1042317Z call_function, hardsigmoid, <function hardsigmoid at 0x7fa55b6d75b0>, (ex_0_,), {}
2022-11-23T02:04:39.1042561Z call_function, add, <built-in function add>, (ex_0_, 3), {}
2022-11-23T02:04:39.1042771Z call_function, hardsigmoid_1, <function hardsigmoid at 0x7fa55b6d75b0>, (add,), {}
2022-11-23T02:04:39.1043007Z call_function, sub, <built-in function sub>, (ex_0_, 3), {}
2022-11-23T02:04:39.1043210Z call_function, hardsigmoid_2, <function hardsigmoid at 0x7fa55b6d75b0>, (sub,), {}
2022-11-23T02:04:39.1043393Z output, output, output, ((hardsigmoid, hardsigmoid_1, hardsigmoid_2),), {}
2022-11-23T02:04:39.1043434Z 
2022-11-23T02:04:39.1043856Z [2022-11-23 01:54:31,410] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1044003Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1044141Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1044273Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1044417Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1044551Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1044687Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1044782Z              12 RETURN_VALUE
2022-11-23T02:04:39.1044802Z 
2022-11-23T02:04:39.1044904Z  
2022-11-23T02:04:39.1045342Z [2022-11-23 01:54:31,410] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1045504Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_186)
2022-11-23T02:04:39.1045640Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1045778Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1045899Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1046111Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.1046243Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.1046396Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1046539Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1046659Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.1046808Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1046940Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1047059Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.1047183Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1047318Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1047434Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.1047567Z              30 BUILD_TUPLE              3
2022-11-23T02:04:39.1047683Z              32 RETURN_VALUE
2022-11-23T02:04:39.1047703Z 
2022-11-23T02:04:39.1047805Z  
2022-11-23T02:04:39.1048072Z [2022-11-23 01:54:31,411] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1048160Z  - 
2022-11-23T02:04:39.1048332Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1048435Z             {
2022-11-23T02:04:39.1048692Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1048960Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.1049146Z                 'obj_weakref': None
2022-11-23T02:04:39.1049464Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1049543Z             }
2022-11-23T02:04:39.1049647Z             
2022-11-23T02:04:39.1049760Z  - 
2022-11-23T02:04:39.1049936Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1050039Z             {
2022-11-23T02:04:39.1050246Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1050406Z                 'code': None,
2022-11-23T02:04:39.1050677Z                 'obj_weakref': <weakref at 0x7fa531f4d030; to 'Tensor' at 0x7fa531f140e0>
2022-11-23T02:04:39.1051024Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1051128Z             }
2022-11-23T02:04:39.1051232Z             
2022-11-23T02:04:39.1051344Z  - 
2022-11-23T02:04:39.1051532Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1051638Z             {
2022-11-23T02:04:39.1051806Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1052046Z                 'code': ['___check_obj_id(model, 140347485146704)'],
2022-11-23T02:04:39.1052220Z                 'obj_weakref': None
2022-11-23T02:04:39.1052539Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1052642Z             }
2022-11-23T02:04:39.1052749Z             
2022-11-23T02:04:39.1052859Z  - 
2022-11-23T02:04:39.1053012Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1053122Z             {
2022-11-23T02:04:39.1053318Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1053626Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1053802Z                 'obj_weakref': None
2022-11-23T02:04:39.1054109Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1054214Z             }
2022-11-23T02:04:39.1054292Z             
2022-11-23T02:04:39.1054402Z  - 
2022-11-23T02:04:39.1054585Z             global 'F' FUNCTION_MATCH
2022-11-23T02:04:39.1054685Z             {
2022-11-23T02:04:39.1054860Z                 'guard_types': None,
2022-11-23T02:04:39.1055022Z                 'code': None,
2022-11-23T02:04:39.1055201Z                 'obj_weakref': None
2022-11-23T02:04:39.1055353Z                 'guarded_class': None
2022-11-23T02:04:39.1055455Z             }
2022-11-23T02:04:39.1055558Z             
2022-11-23T02:04:39.1056009Z [2022-11-23 01:54:31,449] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 185
2022-11-23T02:04:39.1057431Z [2022-11-23 01:54:34,041] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t3/ct3hclgtw6kxvp2vjtvmpbl3jykbkj6cuadiwqznqdqkz3m2j3y7.py
2022-11-23T02:04:39.1058077Z [2022-11-23 01:54:34,041] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 185
2022-11-23T02:04:39.1058102Z 
2022-11-23T02:04:39.1058252Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.1058362Z import torch
2022-11-23T02:04:39.1058448Z import random
2022-11-23T02:04:39.1058613Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.1058791Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.1058810Z 
2022-11-23T02:04:39.1058932Z aten = torch.ops.aten
2022-11-23T02:04:39.1059127Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.1059263Z async_compile = AsyncCompile()
2022-11-23T02:04:39.1059288Z 
2022-11-23T02:04:39.1059306Z 
2022-11-23T02:04:39.1059504Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.1059791Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.1060114Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.1060276Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.1060425Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.1060569Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.1060665Z {
2022-11-23T02:04:39.1060812Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.1060917Z     {
2022-11-23T02:04:39.1061013Z         #pragma omp for 
2022-11-23T02:04:39.1061144Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.1061244Z         {
2022-11-23T02:04:39.1061463Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.1061657Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T02:04:39.1061794Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1061990Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(0.0));
2022-11-23T02:04:39.1062129Z             auto tmp4 = at::vec::maximum(tmp2, tmp3);
2022-11-23T02:04:39.1062322Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(6.0));
2022-11-23T02:04:39.1062483Z             auto tmp6 = at::vec::minimum(tmp4, tmp5);
2022-11-23T02:04:39.1062674Z             auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(6));
2022-11-23T02:04:39.1062806Z             auto tmp8 = tmp6 / tmp7;
2022-11-23T02:04:39.1062937Z             auto tmp9 = tmp2 + tmp1;
2022-11-23T02:04:39.1063097Z             auto tmp10 = at::vec::maximum(tmp9, tmp3);
2022-11-23T02:04:39.1063254Z             auto tmp11 = at::vec::minimum(tmp10, tmp5);
2022-11-23T02:04:39.1063361Z             auto tmp12 = tmp11 / tmp7;
2022-11-23T02:04:39.1063559Z             auto tmp13 = tmp0 - tmp1;
2022-11-23T02:04:39.1063692Z             auto tmp14 = tmp13 + tmp1;
2022-11-23T02:04:39.1063854Z             auto tmp15 = at::vec::maximum(tmp14, tmp3);
2022-11-23T02:04:39.1064013Z             auto tmp16 = at::vec::minimum(tmp15, tmp5);
2022-11-23T02:04:39.1064145Z             auto tmp17 = tmp16 / tmp7;
2022-11-23T02:04:39.1064291Z             tmp8.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.1064431Z             tmp12.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.1064544Z             tmp17.store(out_ptr2 + 8*i0);
2022-11-23T02:04:39.1064643Z         }
2022-11-23T02:04:39.1064787Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.1064913Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.1065010Z         {
2022-11-23T02:04:39.1065141Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.1065299Z             auto tmp1 = static_cast<float>(3);
2022-11-23T02:04:39.1065409Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1065559Z             auto tmp3 = static_cast<float>(0.0);
2022-11-23T02:04:39.1065822Z             auto tmp4 = std::max(tmp2, tmp3);
2022-11-23T02:04:39.1065971Z             auto tmp5 = static_cast<float>(6.0);
2022-11-23T02:04:39.1066113Z             auto tmp6 = std::min(tmp4, tmp5);
2022-11-23T02:04:39.1066258Z             auto tmp7 = static_cast<float>(6);
2022-11-23T02:04:39.1066390Z             auto tmp8 = tmp6 / tmp7;
2022-11-23T02:04:39.1066496Z             auto tmp9 = tmp2 + tmp1;
2022-11-23T02:04:39.1066643Z             auto tmp10 = std::max(tmp9, tmp3);
2022-11-23T02:04:39.1066789Z             auto tmp11 = std::min(tmp10, tmp5);
2022-11-23T02:04:39.1066916Z             auto tmp12 = tmp11 / tmp7;
2022-11-23T02:04:39.1067100Z             auto tmp13 = tmp0 - tmp1;
2022-11-23T02:04:39.1067226Z             auto tmp14 = tmp13 + tmp1;
2022-11-23T02:04:39.1067370Z             auto tmp15 = std::max(tmp14, tmp3);
2022-11-23T02:04:39.1067494Z             auto tmp16 = std::min(tmp15, tmp5);
2022-11-23T02:04:39.1067617Z             auto tmp17 = tmp16 / tmp7;
2022-11-23T02:04:39.1067742Z             out_ptr0[i0] = tmp8;
2022-11-23T02:04:39.1067860Z             out_ptr1[i0] = tmp12;
2022-11-23T02:04:39.1067979Z             out_ptr2[i0] = tmp17;
2022-11-23T02:04:39.1068076Z         }
2022-11-23T02:04:39.1068171Z     }
2022-11-23T02:04:39.1068244Z }
2022-11-23T02:04:39.1068414Z ''')
2022-11-23T02:04:39.1068435Z 
2022-11-23T02:04:39.1068453Z 
2022-11-23T02:04:39.1068589Z async_compile.wait(globals())
2022-11-23T02:04:39.1068699Z del async_compile
2022-11-23T02:04:39.1068718Z 
2022-11-23T02:04:39.1068824Z def call(args):
2022-11-23T02:04:39.1068932Z     arg0_1, = args
2022-11-23T02:04:39.1069040Z     args.clear()
2022-11-23T02:04:39.1069296Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1069561Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1069819Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1070076Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.1070184Z     del arg0_1
2022-11-23T02:04:39.1070307Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:39.1070326Z 
2022-11-23T02:04:39.1070345Z 
2022-11-23T02:04:39.1070462Z if __name__ == "__main__":
2022-11-23T02:04:39.1070625Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1070781Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1071050Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1071203Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.1071222Z 
2022-11-23T02:04:39.1071323Z ok (2.688s)
2022-11-23T02:04:39.1071742Z   test_hardswish_cpu (__main__.CpuTests) ... [2022-11-23 01:54:34,048] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1072171Z [2022-11-23 01:54:34,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1072474Z [2022-11-23 01:54:34,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1072821Z [2022-11-23 01:54:34,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1073194Z [2022-11-23 01:54:34,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1073604Z [2022-11-23 01:54:34,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1074068Z [2022-11-23 01:54:34,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1074502Z [2022-11-23 01:54:34,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1075070Z [2022-11-23 01:54:34,050] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9e080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2629> 
2022-11-23T02:04:39.1075214Z  2630           0 LOAD_GLOBAL              0 (F)
2022-11-23T02:04:39.1075358Z                2 LOAD_METHOD              1 (hardswish)
2022-11-23T02:04:39.1075492Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.1075622Z                6 CALL_METHOD              1
2022-11-23T02:04:39.1075756Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T02:04:39.1075880Z               10 LOAD_METHOD              1 (hardswish)
2022-11-23T02:04:39.1076009Z               12 LOAD_FAST                0 (x)
2022-11-23T02:04:39.1076139Z               14 LOAD_CONST               1 (3)
2022-11-23T02:04:39.1076246Z               16 BINARY_ADD
2022-11-23T02:04:39.1076374Z               18 CALL_METHOD              1
2022-11-23T02:04:39.1076511Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T02:04:39.1076653Z               22 LOAD_METHOD              1 (hardswish)
2022-11-23T02:04:39.1076763Z               24 LOAD_FAST                0 (x)
2022-11-23T02:04:39.1076944Z               26 LOAD_CONST               1 (3)
2022-11-23T02:04:39.1077068Z               28 BINARY_SUBTRACT
2022-11-23T02:04:39.1077198Z               30 CALL_METHOD              1
2022-11-23T02:04:39.1077327Z               32 BUILD_TUPLE              3
2022-11-23T02:04:39.1077441Z               34 RETURN_VALUE
2022-11-23T02:04:39.1077534Z  
2022-11-23T02:04:39.1077554Z 
2022-11-23T02:04:39.1077985Z [2022-11-23 01:54:34,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2630
2022-11-23T02:04:39.1078257Z [2022-11-23 01:54:34,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T02:04:39.1078805Z [2022-11-23 01:54:34,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.1079211Z [2022-11-23 01:54:34,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardswish at 0x7fa55b6d7760>)]
2022-11-23T02:04:39.1079651Z [2022-11-23 01:54:34,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardswish at 0x7fa55b6d7760>), TensorVariable()]
2022-11-23T02:04:39.1079977Z [2022-11-23 01:54:34,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T02:04:39.1080560Z [2022-11-23 01:54:34,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.1080991Z [2022-11-23 01:54:34,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardswish at 0x7fa55b6d7760>)]
2022-11-23T02:04:39.1081465Z [2022-11-23 01:54:34,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(<function hardswish at 0x7fa55b6d7760>), TensorVariable()]
2022-11-23T02:04:39.1081995Z [2022-11-23 01:54:34,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardswish at 0x7fa55b6d7760>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1082467Z [2022-11-23 01:54:34,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardswish at 0x7fa55b6d7760>), TensorVariable()]
2022-11-23T02:04:39.1082833Z [2022-11-23 01:54:34,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1083455Z [2022-11-23 01:54:34,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.1083970Z [2022-11-23 01:54:34,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7fa55b6d7760>)]
2022-11-23T02:04:39.1084478Z [2022-11-23 01:54:34,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7fa55b6d7760>), TensorVariable()]
2022-11-23T02:04:39.1085055Z [2022-11-23 01:54:34,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7fa55b6d7760>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1085565Z [2022-11-23 01:54:34,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7fa55b6d7760>), TensorVariable()]
2022-11-23T02:04:39.1085973Z [2022-11-23 01:54:34,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1086389Z [2022-11-23 01:54:34,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1086908Z [2022-11-23 01:54:34,075] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9e080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2629>
2022-11-23T02:04:39.1087309Z [2022-11-23 01:54:34,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1087636Z [2022-11-23 01:54:34,075] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1087982Z [2022-11-23 01:54:34,077] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1088327Z [2022-11-23 01:54:34,096] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1088583Z [2022-11-23 01:54:34,097] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1088774Z  __compiled_fn_187 <eval_with_key>.1586 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1088907Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1089107Z call_function, hardswish, <function hardswish at 0x7fa55b6d7760>, (ex_0_,), {}
2022-11-23T02:04:39.1089351Z call_function, add, <built-in function add>, (ex_0_, 3), {}
2022-11-23T02:04:39.1089547Z call_function, hardswish_1, <function hardswish at 0x7fa55b6d7760>, (add,), {}
2022-11-23T02:04:39.1089785Z call_function, sub, <built-in function sub>, (ex_0_, 3), {}
2022-11-23T02:04:39.1089986Z call_function, hardswish_2, <function hardswish at 0x7fa55b6d7760>, (sub,), {}
2022-11-23T02:04:39.1090157Z output, output, output, ((hardswish, hardswish_1, hardswish_2),), {}
2022-11-23T02:04:39.1090200Z 
2022-11-23T02:04:39.1090621Z [2022-11-23 01:54:34,097] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1090764Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1090898Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1091031Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1091168Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1091294Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1091423Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1091518Z              12 RETURN_VALUE
2022-11-23T02:04:39.1091537Z 
2022-11-23T02:04:39.1091636Z  
2022-11-23T02:04:39.1092068Z [2022-11-23 01:54:34,098] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1092224Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_187)
2022-11-23T02:04:39.1092356Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1092588Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1092705Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1092836Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.1092972Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.1093119Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1093250Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1093363Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.1093506Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1093636Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1093747Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.1093872Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1094003Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1094117Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.1094247Z              30 BUILD_TUPLE              3
2022-11-23T02:04:39.1094361Z              32 RETURN_VALUE
2022-11-23T02:04:39.1094381Z 
2022-11-23T02:04:39.1094471Z  
2022-11-23T02:04:39.1094730Z [2022-11-23 01:54:34,099] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1094818Z  - 
2022-11-23T02:04:39.1095057Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1095161Z             {
2022-11-23T02:04:39.1095360Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1095619Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.1095789Z                 'obj_weakref': None
2022-11-23T02:04:39.1096613Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1096747Z             }
2022-11-23T02:04:39.1096896Z             
2022-11-23T02:04:39.1097092Z  - 
2022-11-23T02:04:39.1097388Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1097541Z             {
2022-11-23T02:04:39.1097890Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1098140Z                 'code': None,
2022-11-23T02:04:39.1098425Z                 'obj_weakref': <weakref at 0x7fa5500423e0; to 'Tensor' at 0x7fa55025f240>
2022-11-23T02:04:39.1098772Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1098870Z             }
2022-11-23T02:04:39.1098965Z             
2022-11-23T02:04:39.1099071Z  - 
2022-11-23T02:04:39.1099255Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1099351Z             {
2022-11-23T02:04:39.1099520Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1099754Z                 'code': ['___check_obj_id(model, 140347485146704)'],
2022-11-23T02:04:39.1099924Z                 'obj_weakref': None
2022-11-23T02:04:39.1100234Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1100329Z             }
2022-11-23T02:04:39.1100427Z             
2022-11-23T02:04:39.1100529Z  - 
2022-11-23T02:04:39.1100682Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1100780Z             {
2022-11-23T02:04:39.1100969Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1101272Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1101442Z                 'obj_weakref': None
2022-11-23T02:04:39.1101744Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1101842Z             }
2022-11-23T02:04:39.1101919Z             
2022-11-23T02:04:39.1102028Z  - 
2022-11-23T02:04:39.1102202Z             global 'F' FUNCTION_MATCH
2022-11-23T02:04:39.1102297Z             {
2022-11-23T02:04:39.1102464Z                 'guard_types': None,
2022-11-23T02:04:39.1102618Z                 'code': None,
2022-11-23T02:04:39.1102784Z                 'obj_weakref': None
2022-11-23T02:04:39.1103093Z                 'guarded_class': None
2022-11-23T02:04:39.1103189Z             }
2022-11-23T02:04:39.1103283Z             
2022-11-23T02:04:39.1103640Z [2022-11-23 01:54:34,139] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 186
2022-11-23T02:04:39.1104123Z [2022-11-23 01:54:36,825] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n7/cn755zb7hlufoaukahrunq6yl46smfrzbqngdst5dfchrfjbqokt.py
2022-11-23T02:04:39.1104505Z [2022-11-23 01:54:36,826] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 186
2022-11-23T02:04:39.1104526Z 
2022-11-23T02:04:39.1104664Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.1104770Z import torch
2022-11-23T02:04:39.1104856Z import random
2022-11-23T02:04:39.1105020Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.1105191Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.1105211Z 
2022-11-23T02:04:39.1105328Z aten = torch.ops.aten
2022-11-23T02:04:39.1105519Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.1105652Z async_compile = AsyncCompile()
2022-11-23T02:04:39.1105672Z 
2022-11-23T02:04:39.1105691Z 
2022-11-23T02:04:39.1105885Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.1106241Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.1106399Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.1106544Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.1106682Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.1106817Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.1106911Z {
2022-11-23T02:04:39.1107052Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.1107146Z     {
2022-11-23T02:04:39.1107243Z         #pragma omp for 
2022-11-23T02:04:39.1107362Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.1107465Z         {
2022-11-23T02:04:39.1107680Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.1107867Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T02:04:39.1107993Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1108186Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(0.0));
2022-11-23T02:04:39.1108343Z             auto tmp4 = at::vec::maximum(tmp2, tmp3);
2022-11-23T02:04:39.1108512Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(6.0));
2022-11-23T02:04:39.1108667Z             auto tmp6 = at::vec::minimum(tmp4, tmp5);
2022-11-23T02:04:39.1108791Z             auto tmp7 = tmp0 * tmp6;
2022-11-23T02:04:39.1108975Z             auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(6));
2022-11-23T02:04:39.1109098Z             auto tmp9 = tmp7 / tmp8;
2022-11-23T02:04:39.1109219Z             auto tmp10 = tmp2 + tmp1;
2022-11-23T02:04:39.1109373Z             auto tmp11 = at::vec::maximum(tmp10, tmp3);
2022-11-23T02:04:39.1109514Z             auto tmp12 = at::vec::minimum(tmp11, tmp5);
2022-11-23T02:04:39.1109642Z             auto tmp13 = tmp2 * tmp12;
2022-11-23T02:04:39.1109769Z             auto tmp14 = tmp13 / tmp8;
2022-11-23T02:04:39.1109964Z             auto tmp15 = tmp0 - tmp1;
2022-11-23T02:04:39.1110092Z             auto tmp16 = tmp15 + tmp1;
2022-11-23T02:04:39.1110247Z             auto tmp17 = at::vec::maximum(tmp16, tmp3);
2022-11-23T02:04:39.1110404Z             auto tmp18 = at::vec::minimum(tmp17, tmp5);
2022-11-23T02:04:39.1110530Z             auto tmp19 = tmp15 * tmp18;
2022-11-23T02:04:39.1110635Z             auto tmp20 = tmp19 / tmp8;
2022-11-23T02:04:39.1110767Z             tmp9.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.1110899Z             tmp14.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.1111033Z             tmp20.store(out_ptr2 + 8*i0);
2022-11-23T02:04:39.1111135Z         }
2022-11-23T02:04:39.1111274Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.1111459Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.1111536Z         {
2022-11-23T02:04:39.1111661Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.1111803Z             auto tmp1 = static_cast<float>(3);
2022-11-23T02:04:39.1111928Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1112079Z             auto tmp3 = static_cast<float>(0.0);
2022-11-23T02:04:39.1112228Z             auto tmp4 = std::max(tmp2, tmp3);
2022-11-23T02:04:39.1112376Z             auto tmp5 = static_cast<float>(6.0);
2022-11-23T02:04:39.1112510Z             auto tmp6 = std::min(tmp4, tmp5);
2022-11-23T02:04:39.1112636Z             auto tmp7 = tmp0 * tmp6;
2022-11-23T02:04:39.1112775Z             auto tmp8 = static_cast<float>(6);
2022-11-23T02:04:39.1112904Z             auto tmp9 = tmp7 / tmp8;
2022-11-23T02:04:39.1113028Z             auto tmp10 = tmp2 + tmp1;
2022-11-23T02:04:39.1113171Z             auto tmp11 = std::max(tmp10, tmp3);
2022-11-23T02:04:39.1113316Z             auto tmp12 = std::min(tmp11, tmp5);
2022-11-23T02:04:39.1113428Z             auto tmp13 = tmp2 * tmp12;
2022-11-23T02:04:39.1113553Z             auto tmp14 = tmp13 / tmp8;
2022-11-23T02:04:39.1113747Z             auto tmp15 = tmp0 - tmp1;
2022-11-23T02:04:39.1113875Z             auto tmp16 = tmp15 + tmp1;
2022-11-23T02:04:39.1114073Z             auto tmp17 = std::max(tmp16, tmp3);
2022-11-23T02:04:39.1114224Z             auto tmp18 = std::min(tmp17, tmp5);
2022-11-23T02:04:39.1114351Z             auto tmp19 = tmp15 * tmp18;
2022-11-23T02:04:39.1114455Z             auto tmp20 = tmp19 / tmp8;
2022-11-23T02:04:39.1114574Z             out_ptr0[i0] = tmp9;
2022-11-23T02:04:39.1114695Z             out_ptr1[i0] = tmp14;
2022-11-23T02:04:39.1114814Z             out_ptr2[i0] = tmp20;
2022-11-23T02:04:39.1114912Z         }
2022-11-23T02:04:39.1115007Z     }
2022-11-23T02:04:39.1115100Z }
2022-11-23T02:04:39.1115205Z ''')
2022-11-23T02:04:39.1115226Z 
2022-11-23T02:04:39.1115245Z 
2022-11-23T02:04:39.1115379Z async_compile.wait(globals())
2022-11-23T02:04:39.1115494Z del async_compile
2022-11-23T02:04:39.1115513Z 
2022-11-23T02:04:39.1115622Z def call(args):
2022-11-23T02:04:39.1115730Z     arg0_1, = args
2022-11-23T02:04:39.1115838Z     args.clear()
2022-11-23T02:04:39.1116114Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1116379Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1116620Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1116883Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.1116990Z     del arg0_1
2022-11-23T02:04:39.1117111Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:39.1117131Z 
2022-11-23T02:04:39.1117149Z 
2022-11-23T02:04:39.1117266Z if __name__ == "__main__":
2022-11-23T02:04:39.1117430Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1117605Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1117880Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1118017Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.1118036Z 
2022-11-23T02:04:39.1118141Z ok (2.784s)
2022-11-23T02:04:39.1118561Z   test_hardtanh_cpu (__main__.CpuTests) ... [2022-11-23 01:54:36,833] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1118996Z [2022-11-23 01:54:36,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1119296Z [2022-11-23 01:54:36,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1119641Z [2022-11-23 01:54:36,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1120026Z [2022-11-23 01:54:36,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1120524Z [2022-11-23 01:54:36,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1120993Z [2022-11-23 01:54:36,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1121404Z [2022-11-23 01:54:36,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1121905Z [2022-11-23 01:54:36,834] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9ddc0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2611> 
2022-11-23T02:04:39.1122043Z  2612           0 LOAD_GLOBAL              0 (F)
2022-11-23T02:04:39.1122188Z                2 LOAD_METHOD              1 (hardtanh)
2022-11-23T02:04:39.1122324Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.1122457Z                6 CALL_METHOD              1
2022-11-23T02:04:39.1122589Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T02:04:39.1122729Z               10 LOAD_METHOD              1 (hardtanh)
2022-11-23T02:04:39.1122894Z               12 LOAD_FAST                0 (x)
2022-11-23T02:04:39.1123031Z               14 LOAD_CONST               1 (1)
2022-11-23T02:04:39.1123140Z               16 BINARY_ADD
2022-11-23T02:04:39.1123268Z               18 CALL_METHOD              1
2022-11-23T02:04:39.1123402Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T02:04:39.1123539Z               22 LOAD_METHOD              1 (hardtanh)
2022-11-23T02:04:39.1123671Z               24 LOAD_FAST                0 (x)
2022-11-23T02:04:39.1123780Z               26 LOAD_CONST               1 (1)
2022-11-23T02:04:39.1123898Z               28 BINARY_SUBTRACT
2022-11-23T02:04:39.1124027Z               30 CALL_METHOD              1
2022-11-23T02:04:39.1124159Z               32 BUILD_TUPLE              3
2022-11-23T02:04:39.1124268Z               34 RETURN_VALUE
2022-11-23T02:04:39.1124362Z  
2022-11-23T02:04:39.1124381Z 
2022-11-23T02:04:39.1124812Z [2022-11-23 01:54:36,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2612
2022-11-23T02:04:39.1125103Z [2022-11-23 01:54:36,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T02:04:39.1125625Z [2022-11-23 01:54:36,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.1126024Z [2022-11-23 01:54:36,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardtanh at 0x7fa55b6d6b90>)]
2022-11-23T02:04:39.1126467Z [2022-11-23 01:54:36,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardtanh at 0x7fa55b6d6b90>), TensorVariable()]
2022-11-23T02:04:39.1126929Z [2022-11-23 01:54:36,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T02:04:39.1127530Z [2022-11-23 01:54:36,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.1127958Z [2022-11-23 01:54:36,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardtanh at 0x7fa55b6d6b90>)]
2022-11-23T02:04:39.1128428Z [2022-11-23 01:54:36,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<function hardtanh at 0x7fa55b6d6b90>), TensorVariable()]
2022-11-23T02:04:39.1128958Z [2022-11-23 01:54:36,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardtanh at 0x7fa55b6d6b90>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1129501Z [2022-11-23 01:54:36,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardtanh at 0x7fa55b6d6b90>), TensorVariable()]
2022-11-23T02:04:39.1129865Z [2022-11-23 01:54:36,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1130489Z [2022-11-23 01:54:36,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.1130956Z [2022-11-23 01:54:36,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7fa55b6d6b90>)]
2022-11-23T02:04:39.1131470Z [2022-11-23 01:54:36,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7fa55b6d6b90>), TensorVariable()]
2022-11-23T02:04:39.1132101Z [2022-11-23 01:54:36,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7fa55b6d6b90>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1132591Z [2022-11-23 01:54:36,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7fa55b6d6b90>), TensorVariable()]
2022-11-23T02:04:39.1132993Z [2022-11-23 01:54:36,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1133327Z [2022-11-23 01:54:36,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1133844Z [2022-11-23 01:54:36,851] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9ddc0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2611>
2022-11-23T02:04:39.1134183Z [2022-11-23 01:54:36,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1134511Z [2022-11-23 01:54:36,851] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1134864Z [2022-11-23 01:54:36,853] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1135206Z [2022-11-23 01:54:36,865] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1135466Z [2022-11-23 01:54:36,865] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1135657Z  __compiled_fn_188 <eval_with_key>.1592 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1135770Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1135968Z call_function, hardtanh, <function hardtanh at 0x7fa55b6d6b90>, (ex_0_,), {}
2022-11-23T02:04:39.1136873Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.1137219Z call_function, hardtanh_1, <function hardtanh at 0x7fa55b6d6b90>, (add,), {}
2022-11-23T02:04:39.1137631Z call_function, sub, <built-in function sub>, (ex_0_, 1), {}
2022-11-23T02:04:39.1137971Z call_function, hardtanh_2, <function hardtanh at 0x7fa55b6d6b90>, (sub,), {}
2022-11-23T02:04:39.1138211Z output, output, output, ((hardtanh, hardtanh_1, hardtanh_2),), {}
2022-11-23T02:04:39.1138233Z 
2022-11-23T02:04:39.1138681Z [2022-11-23 01:54:36,866] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1138800Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1138932Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1139056Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1139197Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1139324Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1139625Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1139740Z              12 RETURN_VALUE
2022-11-23T02:04:39.1139760Z 
2022-11-23T02:04:39.1139834Z  
2022-11-23T02:04:39.1140278Z [2022-11-23 01:54:36,866] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1140438Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_188)
2022-11-23T02:04:39.1140571Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1140703Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1140817Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1140947Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.1141100Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.1141227Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1141358Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1141477Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.1141623Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1141749Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1141861Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.1142082Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1142204Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1142317Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.1142449Z              30 BUILD_TUPLE              3
2022-11-23T02:04:39.1142558Z              32 RETURN_VALUE
2022-11-23T02:04:39.1142578Z 
2022-11-23T02:04:39.1142671Z  
2022-11-23T02:04:39.1142929Z [2022-11-23 01:54:36,867] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1143038Z  - 
2022-11-23T02:04:39.1143189Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1143288Z             {
2022-11-23T02:04:39.1143487Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1143746Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.1143916Z                 'obj_weakref': None
2022-11-23T02:04:39.1144222Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1144323Z             }
2022-11-23T02:04:39.1144402Z             
2022-11-23T02:04:39.1144507Z  - 
2022-11-23T02:04:39.1144680Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1144778Z             {
2022-11-23T02:04:39.1144974Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1145129Z                 'code': None,
2022-11-23T02:04:39.1145416Z                 'obj_weakref': <weakref at 0x7fa53c359ee0; to 'Tensor' at 0x7fa5322b9030>
2022-11-23T02:04:39.1145735Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1145832Z             }
2022-11-23T02:04:39.1145928Z             
2022-11-23T02:04:39.1146038Z  - 
2022-11-23T02:04:39.1146218Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1146312Z             {
2022-11-23T02:04:39.1146500Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1146718Z                 'code': ['___check_obj_id(model, 140347484691264)'],
2022-11-23T02:04:39.1146885Z                 'obj_weakref': None
2022-11-23T02:04:39.1147199Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1147297Z             }
2022-11-23T02:04:39.1147392Z             
2022-11-23T02:04:39.1147500Z  - 
2022-11-23T02:04:39.1147669Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1147747Z             {
2022-11-23T02:04:39.1147939Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1148232Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1148400Z                 'obj_weakref': None
2022-11-23T02:04:39.1148770Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1148869Z             }
2022-11-23T02:04:39.1148964Z             
2022-11-23T02:04:39.1149050Z  - 
2022-11-23T02:04:39.1149224Z             global 'F' FUNCTION_MATCH
2022-11-23T02:04:39.1149324Z             {
2022-11-23T02:04:39.1149495Z                 'guard_types': None,
2022-11-23T02:04:39.1149648Z                 'code': None,
2022-11-23T02:04:39.1149812Z                 'obj_weakref': None
2022-11-23T02:04:39.1149983Z                 'guarded_class': None
2022-11-23T02:04:39.1150060Z             }
2022-11-23T02:04:39.1150159Z             
2022-11-23T02:04:39.1150512Z [2022-11-23 01:54:36,898] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 187
2022-11-23T02:04:39.1151005Z [2022-11-23 01:54:39,568] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vt/cvttiywq5lkkgpq5v5sp32s6fkuyalcrcplacebxzr63sogik452.py
2022-11-23T02:04:39.1151371Z [2022-11-23 01:54:39,569] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 187
2022-11-23T02:04:39.1151392Z 
2022-11-23T02:04:39.1151530Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.1151636Z import torch
2022-11-23T02:04:39.1151742Z import random
2022-11-23T02:04:39.1151943Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.1152122Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.1152141Z 
2022-11-23T02:04:39.1152258Z aten = torch.ops.aten
2022-11-23T02:04:39.1152446Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.1152582Z async_compile = AsyncCompile()
2022-11-23T02:04:39.1152601Z 
2022-11-23T02:04:39.1152620Z 
2022-11-23T02:04:39.1152813Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.1153095Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.1153266Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.1153396Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.1153538Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.1153676Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.1153769Z {
2022-11-23T02:04:39.1153911Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.1154007Z     {
2022-11-23T02:04:39.1154126Z         #pragma omp for 
2022-11-23T02:04:39.1154227Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.1154323Z         {
2022-11-23T02:04:39.1154544Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.1154824Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-1.0));
2022-11-23T02:04:39.1154980Z             auto tmp2 = at::vec::maximum(tmp0, tmp1);
2022-11-23T02:04:39.1155171Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2022-11-23T02:04:39.1155326Z             auto tmp4 = at::vec::minimum(tmp2, tmp3);
2022-11-23T02:04:39.1155516Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.1155622Z             auto tmp6 = tmp0 + tmp5;
2022-11-23T02:04:39.1155774Z             auto tmp7 = at::vec::maximum(tmp6, tmp1);
2022-11-23T02:04:39.1155927Z             auto tmp8 = at::vec::minimum(tmp7, tmp3);
2022-11-23T02:04:39.1156108Z             auto tmp9 = tmp0 - tmp5;
2022-11-23T02:04:39.1156264Z             auto tmp10 = at::vec::maximum(tmp9, tmp1);
2022-11-23T02:04:39.1156423Z             auto tmp11 = at::vec::minimum(tmp10, tmp3);
2022-11-23T02:04:39.1156561Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.1156694Z             tmp8.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.1156808Z             tmp11.store(out_ptr2 + 8*i0);
2022-11-23T02:04:39.1156904Z         }
2022-11-23T02:04:39.1157041Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.1157162Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.1157256Z         {
2022-11-23T02:04:39.1157483Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.1157683Z             auto tmp1 = static_cast<float>(-1.0);
2022-11-23T02:04:39.1157831Z             auto tmp2 = std::max(tmp0, tmp1);
2022-11-23T02:04:39.1157977Z             auto tmp3 = static_cast<float>(1.0);
2022-11-23T02:04:39.1158120Z             auto tmp4 = std::min(tmp2, tmp3);
2022-11-23T02:04:39.1158263Z             auto tmp5 = static_cast<float>(1);
2022-11-23T02:04:39.1158384Z             auto tmp6 = tmp0 + tmp5;
2022-11-23T02:04:39.1158521Z             auto tmp7 = std::max(tmp6, tmp1);
2022-11-23T02:04:39.1158661Z             auto tmp8 = std::min(tmp7, tmp3);
2022-11-23T02:04:39.1158821Z             auto tmp9 = tmp0 - tmp5;
2022-11-23T02:04:39.1158966Z             auto tmp10 = std::max(tmp9, tmp1);
2022-11-23T02:04:39.1159115Z             auto tmp11 = std::min(tmp10, tmp3);
2022-11-23T02:04:39.1159234Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:39.1159350Z             out_ptr1[i0] = tmp8;
2022-11-23T02:04:39.1159470Z             out_ptr2[i0] = tmp11;
2022-11-23T02:04:39.1159571Z         }
2022-11-23T02:04:39.1159647Z     }
2022-11-23T02:04:39.1159740Z }
2022-11-23T02:04:39.1159856Z ''')
2022-11-23T02:04:39.1159876Z 
2022-11-23T02:04:39.1159894Z 
2022-11-23T02:04:39.1160025Z async_compile.wait(globals())
2022-11-23T02:04:39.1160186Z del async_compile
2022-11-23T02:04:39.1160207Z 
2022-11-23T02:04:39.1160320Z def call(args):
2022-11-23T02:04:39.1160426Z     arg0_1, = args
2022-11-23T02:04:39.1160514Z     args.clear()
2022-11-23T02:04:39.1160785Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1161050Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1161306Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1161570Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.1161676Z     del arg0_1
2022-11-23T02:04:39.1161807Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:39.1161826Z 
2022-11-23T02:04:39.1161846Z 
2022-11-23T02:04:39.1161960Z if __name__ == "__main__":
2022-11-23T02:04:39.1162104Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1162283Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1162553Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1162707Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.1162726Z 
2022-11-23T02:04:39.1162827Z ok (2.743s)
2022-11-23T02:04:39.1163257Z   test_horizonal_fusion1_cpu (__main__.CpuTests) ... [2022-11-23 01:54:39,577] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1163683Z [2022-11-23 01:54:39,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1163983Z [2022-11-23 01:54:39,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1164405Z [2022-11-23 01:54:39,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1164761Z [2022-11-23 01:54:39,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1165191Z [2022-11-23 01:54:39,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1165655Z [2022-11-23 01:54:39,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1166090Z [2022-11-23 01:54:39,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1166588Z [2022-11-23 01:54:39,579] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641158f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 688> 
2022-11-23T02:04:39.1166787Z  689           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1166921Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1167033Z               4 BINARY_ADD
2022-11-23T02:04:39.1167165Z               6 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1167276Z               8 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1167394Z              10 BINARY_SUBTRACT
2022-11-23T02:04:39.1167523Z              12 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1167649Z              14 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1167766Z              16 BINARY_MULTIPLY
2022-11-23T02:04:39.1167894Z              18 BUILD_TUPLE              3
2022-11-23T02:04:39.1168005Z              20 RETURN_VALUE
2022-11-23T02:04:39.1168079Z  
2022-11-23T02:04:39.1168099Z 
2022-11-23T02:04:39.1168529Z [2022-11-23 01:54:39,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:689
2022-11-23T02:04:39.1168818Z [2022-11-23 01:54:39,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.1169196Z [2022-11-23 01:54:39,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:39.1169572Z [2022-11-23 01:54:39,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1169891Z [2022-11-23 01:54:39,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:39.1170247Z [2022-11-23 01:54:39,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1170660Z [2022-11-23 01:54:39,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1171016Z [2022-11-23 01:54:39,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1171392Z [2022-11-23 01:54:39,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1171849Z [2022-11-23 01:54:39,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1172250Z [2022-11-23 01:54:39,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1172585Z [2022-11-23 01:54:39,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1173088Z [2022-11-23 01:54:39,585] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641158f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 688>
2022-11-23T02:04:39.1173418Z [2022-11-23 01:54:39,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1173740Z [2022-11-23 01:54:39,585] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1174087Z [2022-11-23 01:54:39,587] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1174428Z [2022-11-23 01:54:39,594] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1174691Z [2022-11-23 01:54:39,595] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1174862Z  __compiled_fn_189 <eval_with_key>.1598 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1174993Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1175120Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.1175247Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.1175495Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.1175745Z call_function, sub, <built-in function sub>, (ex_0_, ex_2_), {}
2022-11-23T02:04:39.1176659Z call_function, mul, <built-in function mul>, (ex_1_, ex_2_), {}
2022-11-23T02:04:39.1176913Z output, output, output, ((add, sub, mul),), {}
2022-11-23T02:04:39.1176967Z 
2022-11-23T02:04:39.1177751Z [2022-11-23 01:54:39,595] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1177974Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1178151Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1178281Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1178416Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1178542Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1178672Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1178765Z              12 RETURN_VALUE
2022-11-23T02:04:39.1178805Z 
2022-11-23T02:04:39.1178880Z  
2022-11-23T02:04:39.1179326Z [2022-11-23 01:54:39,596] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1179483Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_189)
2022-11-23T02:04:39.1179817Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1179960Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1180075Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1180207Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1180316Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1180426Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.1180553Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1180682Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1180797Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.1180927Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.1181075Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.1181211Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1181344Z              26 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1181456Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.1181605Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1181733Z              32 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1181842Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.1181985Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1182095Z              38 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1182207Z              40 BINARY_SUBSCR
2022-11-23T02:04:39.1182332Z              42 BUILD_TUPLE              3
2022-11-23T02:04:39.1182446Z              44 RETURN_VALUE
2022-11-23T02:04:39.1182466Z 
2022-11-23T02:04:39.1182559Z  
2022-11-23T02:04:39.1182817Z [2022-11-23 01:54:39,597] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1182925Z  - 
2022-11-23T02:04:39.1183079Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1183177Z             {
2022-11-23T02:04:39.1183439Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1183700Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.1183874Z                 'obj_weakref': None
2022-11-23T02:04:39.1184186Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1184284Z             }
2022-11-23T02:04:39.1184379Z             
2022-11-23T02:04:39.1184466Z  - 
2022-11-23T02:04:39.1184640Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1184738Z             {
2022-11-23T02:04:39.1184936Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1185091Z                 'code': None,
2022-11-23T02:04:39.1185382Z                 'obj_weakref': <weakref at 0x7fa531f4cb30; to 'Tensor' at 0x7fa53228fec0>
2022-11-23T02:04:39.1185724Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1185918Z             }
2022-11-23T02:04:39.1186013Z             
2022-11-23T02:04:39.1186124Z  - 
2022-11-23T02:04:39.1186303Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.1186403Z             {
2022-11-23T02:04:39.1186603Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1186740Z                 'code': None,
2022-11-23T02:04:39.1187029Z                 'obj_weakref': <weakref at 0x7fa531f4d580; to 'Tensor' at 0x7fa53228c360>
2022-11-23T02:04:39.1187426Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1187526Z             }
2022-11-23T02:04:39.1187620Z             
2022-11-23T02:04:39.1187727Z  - 
2022-11-23T02:04:39.1187902Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.1187980Z             {
2022-11-23T02:04:39.1188179Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1188337Z                 'code': None,
2022-11-23T02:04:39.1188622Z                 'obj_weakref': <weakref at 0x7fa531f4ccc0; to 'Tensor' at 0x7fa53228ff60>
2022-11-23T02:04:39.1189021Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1189125Z             }
2022-11-23T02:04:39.1189223Z             
2022-11-23T02:04:39.1189331Z  - 
2022-11-23T02:04:39.1189495Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1189595Z             {
2022-11-23T02:04:39.1189784Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1190016Z                 'code': ['___check_obj_id(model, 140347657466304)'],
2022-11-23T02:04:39.1190183Z                 'obj_weakref': None
2022-11-23T02:04:39.1190495Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1190593Z             }
2022-11-23T02:04:39.1190669Z             
2022-11-23T02:04:39.1190778Z  - 
2022-11-23T02:04:39.1190952Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1191050Z             {
2022-11-23T02:04:39.1191243Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1191536Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1191707Z                 'obj_weakref': None
2022-11-23T02:04:39.1191990Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1192087Z             }
2022-11-23T02:04:39.1192182Z             
2022-11-23T02:04:39.1192538Z [2022-11-23 01:54:39,609] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 188
2022-11-23T02:04:39.1193027Z [2022-11-23 01:54:42,225] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6w/c6wihckbh2hiuekm3jkcol2wxohmgzsu3xwsrihck7k5nmhwfs4h.py
2022-11-23T02:04:39.1193384Z [2022-11-23 01:54:42,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 188
2022-11-23T02:04:39.1193409Z 
2022-11-23T02:04:39.1193547Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.1193653Z import torch
2022-11-23T02:04:39.1193738Z import random
2022-11-23T02:04:39.1193908Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.1194082Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.1194102Z 
2022-11-23T02:04:39.1194218Z aten = torch.ops.aten
2022-11-23T02:04:39.1194408Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.1194544Z async_compile = AsyncCompile()
2022-11-23T02:04:39.1194563Z 
2022-11-23T02:04:39.1194582Z 
2022-11-23T02:04:39.1194775Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.1195054Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.1195207Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.1195356Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.1195575Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.1195718Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.1195859Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.1195998Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.1196092Z {
2022-11-23T02:04:39.1196216Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.1196312Z     {
2022-11-23T02:04:39.1196426Z         #pragma omp for 
2022-11-23T02:04:39.1196558Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T02:04:39.1196654Z         {
2022-11-23T02:04:39.1196874Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.1197060Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.1197167Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1197300Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.1197403Z         }
2022-11-23T02:04:39.1197542Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.1197671Z         for(long i0=2048; i0<2048; i0+=1)
2022-11-23T02:04:39.1197769Z         {
2022-11-23T02:04:39.1197895Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.1198054Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:39.1198185Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1198304Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.1198400Z         }
2022-11-23T02:04:39.1198515Z         #pragma omp for 
2022-11-23T02:04:39.1198636Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.1198729Z         {
2022-11-23T02:04:39.1198830Z             #pragma GCC ivdep
2022-11-23T02:04:39.1198954Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T02:04:39.1199050Z             {
2022-11-23T02:04:39.1199184Z                 for(long i2=0; i2<2; i2+=1)
2022-11-23T02:04:39.1199287Z                 {
2022-11-23T02:04:39.1199499Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (16*i1) + (256*i0));
2022-11-23T02:04:39.1199687Z                     auto tmp1 = at::vec::Vectorized<float>(in_ptr2[i1]);
2022-11-23T02:04:39.1199876Z                     auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i2) + (16*i1) + (256*i0));
2022-11-23T02:04:39.1200087Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.1200221Z                     auto tmp4 = tmp3 * tmp1;
2022-11-23T02:04:39.1200379Z                     tmp2.store(out_ptr1 + (8*i2) + (16*i1) + (256*i0));
2022-11-23T02:04:39.1200537Z                     tmp4.store(out_ptr2 + (8*i2) + (16*i1) + (256*i0));
2022-11-23T02:04:39.1200636Z                 }
2022-11-23T02:04:39.1200777Z                 #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.1200905Z                 for(long i2=16; i2<16; i2+=1)
2022-11-23T02:04:39.1200989Z                 {
2022-11-23T02:04:39.1201140Z                     auto tmp0 = in_ptr0[i2 + (16*i1) + (256*i0)];
2022-11-23T02:04:39.1201271Z                     auto tmp1 = in_ptr2[i1];
2022-11-23T02:04:39.1201426Z                     auto tmp3 = in_ptr1[i2 + (16*i1) + (256*i0)];
2022-11-23T02:04:39.1201623Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.1201754Z                     auto tmp4 = tmp3 * tmp1;
2022-11-23T02:04:39.1201902Z                     out_ptr1[i2 + (16*i1) + (256*i0)] = tmp2;
2022-11-23T02:04:39.1202026Z                     out_ptr2[i2 + (16*i1) + (256*i0)] = tmp4;
2022-11-23T02:04:39.1202125Z                 }
2022-11-23T02:04:39.1202220Z             }
2022-11-23T02:04:39.1202315Z         }
2022-11-23T02:04:39.1202409Z     }
2022-11-23T02:04:39.1202500Z }
2022-11-23T02:04:39.1202600Z ''')
2022-11-23T02:04:39.1202635Z 
2022-11-23T02:04:39.1202654Z 
2022-11-23T02:04:39.1202774Z async_compile.wait(globals())
2022-11-23T02:04:39.1202883Z del async_compile
2022-11-23T02:04:39.1202902Z 
2022-11-23T02:04:39.1203009Z def call(args):
2022-11-23T02:04:39.1203132Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.1203236Z     args.clear()
2022-11-23T02:04:39.1203601Z     buf0 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1203884Z     buf1 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1204147Z     buf2 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1204469Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.1204576Z     del arg0_1
2022-11-23T02:04:39.1204678Z     del arg1_1
2022-11-23T02:04:39.1204778Z     del arg2_1
2022-11-23T02:04:39.1204907Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:39.1204927Z 
2022-11-23T02:04:39.1204945Z 
2022-11-23T02:04:39.1205060Z if __name__ == "__main__":
2022-11-23T02:04:39.1205224Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1205379Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1205670Z     arg0_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1205949Z     arg1_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1206284Z     arg2_1 = rand_strided((1, 16, 1), (16, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1206463Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.1206483Z 
2022-11-23T02:04:39.1206585Z ok (2.657s)
2022-11-23T02:04:39.1207016Z   test_horizonal_fusion2_cpu (__main__.CpuTests) ... [2022-11-23 01:54:42,234] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1207440Z [2022-11-23 01:54:42,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1207737Z [2022-11-23 01:54:42,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1208065Z [2022-11-23 01:54:42,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1208438Z [2022-11-23 01:54:42,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1208867Z [2022-11-23 01:54:42,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1209335Z [2022-11-23 01:54:42,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1209769Z [2022-11-23 01:54:42,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1210271Z [2022-11-23 01:54:42,235] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa6411590b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 696> 
2022-11-23T02:04:39.1210415Z  697           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1210552Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:39.1210664Z               4 BINARY_ADD
2022-11-23T02:04:39.1210782Z               6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1210917Z               8 LOAD_CONST               2 (2)
2022-11-23T02:04:39.1211024Z              10 BINARY_ADD
2022-11-23T02:04:39.1211153Z              12 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1211280Z              14 LOAD_CONST               3 (3)
2022-11-23T02:04:39.1211393Z              16 BINARY_ADD
2022-11-23T02:04:39.1211518Z              18 BUILD_TUPLE              3
2022-11-23T02:04:39.1211611Z              20 RETURN_VALUE
2022-11-23T02:04:39.1211706Z  
2022-11-23T02:04:39.1211726Z 
2022-11-23T02:04:39.1212148Z [2022-11-23 01:54:42,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:697
2022-11-23T02:04:39.1212516Z [2022-11-23 01:54:42,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.1212839Z [2022-11-23 01:54:42,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:39.1213222Z [2022-11-23 01:54:42,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1213543Z [2022-11-23 01:54:42,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:39.1213899Z [2022-11-23 01:54:42,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1214310Z [2022-11-23 01:54:42,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1214666Z [2022-11-23 01:54:42,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1215044Z [2022-11-23 01:54:42,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1215551Z [2022-11-23 01:54:42,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1215956Z [2022-11-23 01:54:42,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1217283Z [2022-11-23 01:54:42,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1218149Z [2022-11-23 01:54:42,241] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa6411590b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 696>
2022-11-23T02:04:39.1218508Z [2022-11-23 01:54:42,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1218836Z [2022-11-23 01:54:42,242] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1219178Z [2022-11-23 01:54:42,244] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1219519Z [2022-11-23 01:54:42,250] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1219786Z [2022-11-23 01:54:42,251] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1219957Z  __compiled_fn_190 <eval_with_key>.1604 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1220086Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1220210Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.1220337Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.1220575Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.1220818Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T02:04:39.1221059Z call_function, add_2, <built-in function add>, (ex_2_, 3), {}
2022-11-23T02:04:39.1221198Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T02:04:39.1221219Z 
2022-11-23T02:04:39.1221661Z [2022-11-23 01:54:42,252] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1221798Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1221930Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1222053Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1222187Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1222313Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1222443Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1222537Z              12 RETURN_VALUE
2022-11-23T02:04:39.1222557Z 
2022-11-23T02:04:39.1222650Z  
2022-11-23T02:04:39.1223083Z [2022-11-23 01:54:42,252] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1223417Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_190)
2022-11-23T02:04:39.1223547Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1223682Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1223802Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1223932Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1224041Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1224152Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.1224277Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1224404Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1224515Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.1224641Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.1224791Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.1224924Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1225050Z              26 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1225163Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.1225306Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1225510Z              32 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1225630Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.1225774Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1225885Z              38 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1225996Z              40 BINARY_SUBSCR
2022-11-23T02:04:39.1226125Z              42 BUILD_TUPLE              3
2022-11-23T02:04:39.1226236Z              44 RETURN_VALUE
2022-11-23T02:04:39.1226257Z 
2022-11-23T02:04:39.1226348Z  
2022-11-23T02:04:39.1226612Z [2022-11-23 01:54:42,253] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1226719Z  - 
2022-11-23T02:04:39.1226871Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1226975Z             {
2022-11-23T02:04:39.1227170Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1227427Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.1227603Z                 'obj_weakref': None
2022-11-23T02:04:39.1227913Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1228014Z             }
2022-11-23T02:04:39.1228090Z             
2022-11-23T02:04:39.1228197Z  - 
2022-11-23T02:04:39.1228374Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1228473Z             {
2022-11-23T02:04:39.1228671Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1228823Z                 'code': None,
2022-11-23T02:04:39.1229107Z                 'obj_weakref': <weakref at 0x7fa53c358090; to 'Tensor' at 0x7fa550268b80>
2022-11-23T02:04:39.1229430Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1229538Z             }
2022-11-23T02:04:39.1229634Z             
2022-11-23T02:04:39.1229740Z  - 
2022-11-23T02:04:39.1229912Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.1230010Z             {
2022-11-23T02:04:39.1230212Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1230346Z                 'code': None,
2022-11-23T02:04:39.1230633Z                 'obj_weakref': <weakref at 0x7fa5500438d0; to 'Tensor' at 0x7fa53228ff60>
2022-11-23T02:04:39.1230975Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1231072Z             }
2022-11-23T02:04:39.1231164Z             
2022-11-23T02:04:39.1231272Z  - 
2022-11-23T02:04:39.1231446Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.1231524Z             {
2022-11-23T02:04:39.1231723Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1231874Z                 'code': None,
2022-11-23T02:04:39.1232231Z                 'obj_weakref': <weakref at 0x7fa550041080; to 'Tensor' at 0x7fa53228fec0>
2022-11-23T02:04:39.1232571Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1232672Z             }
2022-11-23T02:04:39.1232769Z             
2022-11-23T02:04:39.1232854Z  - 
2022-11-23T02:04:39.1233035Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1233129Z             {
2022-11-23T02:04:39.1233317Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1233551Z                 'code': ['___check_obj_id(model, 140347992998096)'],
2022-11-23T02:04:39.1233721Z                 'obj_weakref': None
2022-11-23T02:04:39.1234032Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1234110Z             }
2022-11-23T02:04:39.1234205Z             
2022-11-23T02:04:39.1234312Z  - 
2022-11-23T02:04:39.1234484Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1234586Z             {
2022-11-23T02:04:39.1234775Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1235068Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1235271Z                 'obj_weakref': None
2022-11-23T02:04:39.1235585Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1235682Z             }
2022-11-23T02:04:39.1235779Z             
2022-11-23T02:04:39.1236134Z [2022-11-23 01:54:42,265] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 189
2022-11-23T02:04:39.1236627Z [2022-11-23 01:54:44,968] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c2/cc2mrowxdevc7u3kgxayxbgtaltiyotsocmj4lqcqpd76otue7fr.py
2022-11-23T02:04:39.1236986Z [2022-11-23 01:54:44,969] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 189
2022-11-23T02:04:39.1237012Z 
2022-11-23T02:04:39.1237150Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.1237236Z import torch
2022-11-23T02:04:39.1237342Z import random
2022-11-23T02:04:39.1237509Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.1237685Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.1237704Z 
2022-11-23T02:04:39.1237822Z aten = torch.ops.aten
2022-11-23T02:04:39.1238013Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.1238153Z async_compile = AsyncCompile()
2022-11-23T02:04:39.1238172Z 
2022-11-23T02:04:39.1238190Z 
2022-11-23T02:04:39.1238382Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.1238642Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.1238812Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.1238961Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.1239115Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.1239258Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.1239396Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.1239539Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.1239639Z {
2022-11-23T02:04:39.1239826Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.1239921Z     {
2022-11-23T02:04:39.1240037Z         #pragma omp for 
2022-11-23T02:04:39.1240160Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T02:04:39.1240253Z         {
2022-11-23T02:04:39.1240475Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.1240663Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.1240773Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1240905Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.1240999Z         }
2022-11-23T02:04:39.1241136Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.1241327Z         for(long i0=1024; i0<1024; i0+=1)
2022-11-23T02:04:39.1241423Z         {
2022-11-23T02:04:39.1241528Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.1241670Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.1241799Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1241919Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.1242016Z         }
2022-11-23T02:04:39.1242131Z         #pragma omp for 
2022-11-23T02:04:39.1242252Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.1242326Z         {
2022-11-23T02:04:39.1242511Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.1242693Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:39.1242821Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1242950Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.1243044Z         }
2022-11-23T02:04:39.1243184Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.1243305Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T02:04:39.1243383Z         {
2022-11-23T02:04:39.1243509Z             auto tmp0 = in_ptr1[i0];
2022-11-23T02:04:39.1243651Z             auto tmp1 = static_cast<float>(2);
2022-11-23T02:04:39.1243826Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1243953Z             out_ptr1[i0] = tmp2;
2022-11-23T02:04:39.1244048Z         }
2022-11-23T02:04:39.1244144Z         #pragma omp for 
2022-11-23T02:04:39.1244264Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.1244358Z         {
2022-11-23T02:04:39.1244539Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T02:04:39.1244723Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T02:04:39.1244848Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1244975Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T02:04:39.1245069Z         }
2022-11-23T02:04:39.1245194Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.1245318Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T02:04:39.1245412Z         {
2022-11-23T02:04:39.1245534Z             auto tmp0 = in_ptr2[i0];
2022-11-23T02:04:39.1245677Z             auto tmp1 = static_cast<float>(3);
2022-11-23T02:04:39.1245804Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1245908Z             out_ptr2[i0] = tmp2;
2022-11-23T02:04:39.1246000Z         }
2022-11-23T02:04:39.1246093Z     }
2022-11-23T02:04:39.1246185Z }
2022-11-23T02:04:39.1246320Z ''')
2022-11-23T02:04:39.1246341Z 
2022-11-23T02:04:39.1246359Z 
2022-11-23T02:04:39.1246491Z async_compile.wait(globals())
2022-11-23T02:04:39.1246602Z del async_compile
2022-11-23T02:04:39.1246621Z 
2022-11-23T02:04:39.1246726Z def call(args):
2022-11-23T02:04:39.1246828Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.1246933Z     args.clear()
2022-11-23T02:04:39.1247219Z     buf0 = empty_strided((8, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1247490Z     buf1 = empty_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1247759Z     buf2 = empty_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1248082Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.1248187Z     del arg0_1
2022-11-23T02:04:39.1248268Z     del arg1_1
2022-11-23T02:04:39.1248372Z     del arg2_1
2022-11-23T02:04:39.1248494Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:39.1248513Z 
2022-11-23T02:04:39.1248532Z 
2022-11-23T02:04:39.1248645Z if __name__ == "__main__":
2022-11-23T02:04:39.1248806Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1248980Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1249262Z     arg0_1 = rand_strided((8, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1249594Z     arg1_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1249844Z     arg2_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1250019Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.1250043Z 
2022-11-23T02:04:39.1250144Z ok (2.743s)
2022-11-23T02:04:39.1250554Z   test_index1_cpu (__main__.CpuTests) ... [2022-11-23 01:54:44,978] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1250979Z [2022-11-23 01:54:44,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1251276Z [2022-11-23 01:54:44,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1251616Z [2022-11-23 01:54:44,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1251986Z [2022-11-23 01:54:44,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1252421Z [2022-11-23 01:54:44,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1252937Z [2022-11-23 01:54:44,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1253359Z [2022-11-23 01:54:44,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1253865Z [2022-11-23 01:54:44,979] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9f730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812> 
2022-11-23T02:04:39.1254008Z  2813           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.1254143Z                2 LOAD_METHOD              1 (index)
2022-11-23T02:04:39.1254281Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1254415Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1254544Z                8 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1254677Z               10 BUILD_LIST               2
2022-11-23T02:04:39.1254787Z               12 CALL_METHOD              2
2022-11-23T02:04:39.1254902Z               14 RETURN_VALUE
2022-11-23T02:04:39.1254995Z  
2022-11-23T02:04:39.1255015Z 
2022-11-23T02:04:39.1255443Z [2022-11-23 01:54:44,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2813
2022-11-23T02:04:39.1255744Z [2022-11-23 01:54:44,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.1256695Z [2022-11-23 01:54:44,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.1257320Z [2022-11-23 01:54:44,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T02:04:39.1257995Z [2022-11-23 01:54:44,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T02:04:39.1258433Z [2022-11-23 01:54:44,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1258864Z [2022-11-23 01:54:44,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.index), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1259277Z [2022-11-23 01:54:44,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.1259610Z [2022-11-23 01:54:44,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1260112Z [2022-11-23 01:54:44,990] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9f730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812>
2022-11-23T02:04:39.1260598Z [2022-11-23 01:54:44,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1260916Z [2022-11-23 01:54:44,990] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1261260Z [2022-11-23 01:54:44,992] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1261593Z [2022-11-23 01:54:44,997] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1261852Z [2022-11-23 01:54:44,998] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1262041Z  __compiled_fn_191 <eval_with_key>.1610 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1262155Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1262285Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.1262408Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.1262575Z call_function, index, aten.index, (ex_0_, [ex_1_, ex_2_]), {}
2022-11-23T02:04:39.1262716Z output, output, output, ((index,),), {}
2022-11-23T02:04:39.1262802Z 
2022-11-23T02:04:39.1263373Z [2022-11-23 01:54:44,998] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1263519Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1263654Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1263763Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1263897Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1264019Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1264151Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1264263Z              12 RETURN_VALUE
2022-11-23T02:04:39.1264287Z 
2022-11-23T02:04:39.1264379Z  
2022-11-23T02:04:39.1264814Z [2022-11-23 01:54:44,999] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1264956Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_191)
2022-11-23T02:04:39.1265091Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1265221Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1265336Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1265464Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1265593Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1265705Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.1265813Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1265941Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1266052Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.1266180Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.1266318Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.1266428Z              24 RETURN_VALUE
2022-11-23T02:04:39.1266447Z 
2022-11-23T02:04:39.1266539Z  
2022-11-23T02:04:39.1266796Z [2022-11-23 01:54:45,000] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1266889Z  - 
2022-11-23T02:04:39.1267057Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1267154Z             {
2022-11-23T02:04:39.1267351Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1267608Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.1267778Z                 'obj_weakref': None
2022-11-23T02:04:39.1268089Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1268169Z             }
2022-11-23T02:04:39.1268263Z             
2022-11-23T02:04:39.1268368Z  - 
2022-11-23T02:04:39.1268542Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1268637Z             {
2022-11-23T02:04:39.1268984Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1269119Z                 'code': None,
2022-11-23T02:04:39.1269408Z                 'obj_weakref': <weakref at 0x7fa5322e3c90; to 'Tensor' at 0x7fa531ea6890>
2022-11-23T02:04:39.1269756Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1269854Z             }
2022-11-23T02:04:39.1269951Z             
2022-11-23T02:04:39.1270057Z  - 
2022-11-23T02:04:39.1270233Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.1270310Z             {
2022-11-23T02:04:39.1270509Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1270664Z                 'code': None,
2022-11-23T02:04:39.1270949Z                 'obj_weakref': <weakref at 0x7fa53c359f30; to 'Tensor' at 0x7fa5500972e0>
2022-11-23T02:04:39.1271286Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1271390Z             }
2022-11-23T02:04:39.1271484Z             
2022-11-23T02:04:39.1271594Z  - 
2022-11-23T02:04:39.1271749Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.1271847Z             {
2022-11-23T02:04:39.1272101Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1272261Z                 'code': None,
2022-11-23T02:04:39.1272546Z                 'obj_weakref': <weakref at 0x7fa53c35a840; to 'Tensor' at 0x7fa550096020>
2022-11-23T02:04:39.1272885Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1272981Z             }
2022-11-23T02:04:39.1273059Z             
2022-11-23T02:04:39.1273165Z  - 
2022-11-23T02:04:39.1273349Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1273449Z             {
2022-11-23T02:04:39.1273641Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1273878Z                 'code': ['___check_obj_id(model, 140347992998096)'],
2022-11-23T02:04:39.1274051Z                 'obj_weakref': None
2022-11-23T02:04:39.1274340Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1274438Z             }
2022-11-23T02:04:39.1274536Z             
2022-11-23T02:04:39.1274648Z  - 
2022-11-23T02:04:39.1274824Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1274925Z             {
2022-11-23T02:04:39.1275098Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1275403Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1275570Z                 'obj_weakref': None
2022-11-23T02:04:39.1275871Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1275968Z             }
2022-11-23T02:04:39.1276063Z             
2022-11-23T02:04:39.1276170Z  - 
2022-11-23T02:04:39.1276336Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.1276439Z             {
2022-11-23T02:04:39.1276610Z                 'guard_types': None,
2022-11-23T02:04:39.1276767Z                 'code': None,
2022-11-23T02:04:39.1276936Z                 'obj_weakref': None
2022-11-23T02:04:39.1277110Z                 'guarded_class': None
2022-11-23T02:04:39.1277211Z             }
2022-11-23T02:04:39.1277287Z             
2022-11-23T02:04:39.1277644Z [2022-11-23 01:54:45,010] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 190
2022-11-23T02:04:39.1278136Z [2022-11-23 01:54:47,646] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fp/cfpe47eoxm4sezps4wxhpdzumyll5bnvazyhoudfofpmz53fnwqr.py
2022-11-23T02:04:39.1278494Z [2022-11-23 01:54:47,646] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 190
2022-11-23T02:04:39.1278813Z [2022-11-23 01:54:47,653] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1279229Z [2022-11-23 01:54:47,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1279597Z [2022-11-23 01:54:47,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1279940Z [2022-11-23 01:54:47,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1280312Z [2022-11-23 01:54:47,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1280741Z [2022-11-23 01:54:47,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1281186Z [2022-11-23 01:54:47,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1281620Z [2022-11-23 01:54:47,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1282172Z [2022-11-23 01:54:47,654] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9f730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812> 
2022-11-23T02:04:39.1282316Z  2813           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.1282452Z                2 LOAD_METHOD              1 (index)
2022-11-23T02:04:39.1282583Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1282716Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1282846Z                8 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1282955Z               10 BUILD_LIST               2
2022-11-23T02:04:39.1283079Z               12 CALL_METHOD              2
2022-11-23T02:04:39.1283192Z               14 RETURN_VALUE
2022-11-23T02:04:39.1283285Z  
2022-11-23T02:04:39.1283306Z 
2022-11-23T02:04:39.1283731Z [2022-11-23 01:54:47,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2813
2022-11-23T02:04:39.1284032Z [2022-11-23 01:54:47,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.1284447Z [2022-11-23 01:54:47,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.1284788Z [2022-11-23 01:54:47,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T02:04:39.1285165Z [2022-11-23 01:54:47,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T02:04:39.1285560Z [2022-11-23 01:54:47,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1286012Z [2022-11-23 01:54:47,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.index), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1286431Z [2022-11-23 01:54:47,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.1286771Z [2022-11-23 01:54:47,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1287344Z [2022-11-23 01:54:47,665] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9f730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812>
2022-11-23T02:04:39.1287688Z [2022-11-23 01:54:47,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1288006Z [2022-11-23 01:54:47,665] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1288350Z [2022-11-23 01:54:47,667] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1288800Z [2022-11-23 01:54:47,672] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1289066Z [2022-11-23 01:54:47,672] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1289242Z  __compiled_fn_192 <eval_with_key>.1616 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1289378Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1289502Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.1289629Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.1289800Z call_function, index, aten.index, (ex_0_, [ex_1_, ex_2_]), {}
2022-11-23T02:04:39.1289941Z output, output, output, ((index,),), {}
2022-11-23T02:04:39.1289962Z 
2022-11-23T02:04:39.1290407Z [2022-11-23 01:54:47,673] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1290546Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1290665Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1290795Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1290932Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1291057Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1291240Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1291367Z              12 RETURN_VALUE
2022-11-23T02:04:39.1291389Z 
2022-11-23T02:04:39.1291484Z  
2022-11-23T02:04:39.1291910Z [2022-11-23 01:54:47,673] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1292071Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_192)
2022-11-23T02:04:39.1292206Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1292338Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1292454Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1292585Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1292720Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1292830Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.1292940Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1293071Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1293182Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.1293309Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.1293441Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.1293554Z              24 RETURN_VALUE
2022-11-23T02:04:39.1293573Z 
2022-11-23T02:04:39.1293668Z  
2022-11-23T02:04:39.1293907Z [2022-11-23 01:54:47,675] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1294017Z  - 
2022-11-23T02:04:39.1294186Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1294287Z             {
2022-11-23T02:04:39.1294485Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1294746Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.1294930Z                 'obj_weakref': None
2022-11-23T02:04:39.1295217Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1295319Z             }
2022-11-23T02:04:39.1295421Z             
2022-11-23T02:04:39.1295529Z  - 
2022-11-23T02:04:39.1295706Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1295804Z             {
2022-11-23T02:04:39.1296010Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1296802Z                 'code': None,
2022-11-23T02:04:39.1297298Z                 'obj_weakref': <weakref at 0x7fa53228c4a0; to 'Tensor' at 0x7fa531ea6890>
2022-11-23T02:04:39.1297895Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1298054Z             }
2022-11-23T02:04:39.1298199Z             
2022-11-23T02:04:39.1298334Z  - 
2022-11-23T02:04:39.1298515Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.1298769Z             {
2022-11-23T02:04:39.1298977Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1299133Z                 'code': None,
2022-11-23T02:04:39.1299426Z                 'obj_weakref': <weakref at 0x7fa550043380; to 'Tensor' at 0x7fa5322e3420>
2022-11-23T02:04:39.1299773Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1299878Z             }
2022-11-23T02:04:39.1299974Z             
2022-11-23T02:04:39.1300061Z  - 
2022-11-23T02:04:39.1300240Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.1300333Z             {
2022-11-23T02:04:39.1300527Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1300677Z                 'code': None,
2022-11-23T02:04:39.1300955Z                 'obj_weakref': <weakref at 0x7fa5500beed0; to 'Tensor' at 0x7fa5322daf20>
2022-11-23T02:04:39.1301295Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1301377Z             }
2022-11-23T02:04:39.1301473Z             
2022-11-23T02:04:39.1301579Z  - 
2022-11-23T02:04:39.1301765Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1301863Z             {
2022-11-23T02:04:39.1302126Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1302372Z                 'code': ['___check_obj_id(model, 140347992998096)'],
2022-11-23T02:04:39.1302521Z                 'obj_weakref': None
2022-11-23T02:04:39.1302831Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1302929Z             }
2022-11-23T02:04:39.1303023Z             
2022-11-23T02:04:39.1303129Z  - 
2022-11-23T02:04:39.1303301Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1303396Z             {
2022-11-23T02:04:39.1303567Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1303860Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1304035Z                 'obj_weakref': None
2022-11-23T02:04:39.1304331Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1304430Z             }
2022-11-23T02:04:39.1304526Z             
2022-11-23T02:04:39.1304629Z  - 
2022-11-23T02:04:39.1304794Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.1304890Z             {
2022-11-23T02:04:39.1305060Z                 'guard_types': None,
2022-11-23T02:04:39.1305214Z                 'code': None,
2022-11-23T02:04:39.1305378Z                 'obj_weakref': None
2022-11-23T02:04:39.1305545Z                 'guarded_class': None
2022-11-23T02:04:39.1305644Z             }
2022-11-23T02:04:39.1305721Z             
2022-11-23T02:04:39.1306072Z [2022-11-23 01:54:47,684] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 191
2022-11-23T02:04:39.1306555Z [2022-11-23 01:54:50,312] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ez/cezpw3d6cutk5phh4uh764if6mg4hbwxoc5vdfqubxigivxcoza4.py
2022-11-23T02:04:39.1306923Z [2022-11-23 01:54:50,313] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 191
2022-11-23T02:04:39.1306947Z 
2022-11-23T02:04:39.1307084Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.1307192Z import torch
2022-11-23T02:04:39.1307298Z import random
2022-11-23T02:04:39.1307445Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.1307618Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.1307638Z 
2022-11-23T02:04:39.1307758Z aten = torch.ops.aten
2022-11-23T02:04:39.1307947Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.1308082Z async_compile = AsyncCompile()
2022-11-23T02:04:39.1308101Z 
2022-11-23T02:04:39.1308119Z 
2022-11-23T02:04:39.1308312Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.1308589Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.1308828Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.1308979Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:39.1309115Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.1309256Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.1309352Z {
2022-11-23T02:04:39.1309496Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.1309590Z     {
2022-11-23T02:04:39.1309724Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.1309842Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.1309920Z         {
2022-11-23T02:04:39.1310046Z             for(long i1=0; i1<12; i1+=1)
2022-11-23T02:04:39.1310140Z             {
2022-11-23T02:04:39.1310238Z                 {
2022-11-23T02:04:39.1310340Z                     {
2022-11-23T02:04:39.1310480Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.1310603Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:39.1310766Z                         auto tmp2 = in_ptr2[i1 + (12*tmp1) + (96*tmp0)];
2022-11-23T02:04:39.1310905Z                         out_ptr0[i1 + (12*i0)] = tmp2;
2022-11-23T02:04:39.1311061Z                     }
2022-11-23T02:04:39.1311166Z                 }
2022-11-23T02:04:39.1311266Z             }
2022-11-23T02:04:39.1311362Z         }
2022-11-23T02:04:39.1311437Z     }
2022-11-23T02:04:39.1311530Z }
2022-11-23T02:04:39.1311653Z ''')
2022-11-23T02:04:39.1311675Z 
2022-11-23T02:04:39.1311693Z 
2022-11-23T02:04:39.1311824Z async_compile.wait(globals())
2022-11-23T02:04:39.1311932Z del async_compile
2022-11-23T02:04:39.1311951Z 
2022-11-23T02:04:39.1312063Z def call(args):
2022-11-23T02:04:39.1312185Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.1312273Z     args.clear()
2022-11-23T02:04:39.1312549Z     buf0 = empty_strided((4, 12), (12, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1312815Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.1312920Z     del arg0_1
2022-11-23T02:04:39.1313021Z     del arg1_1
2022-11-23T02:04:39.1313122Z     del arg2_1
2022-11-23T02:04:39.1313232Z     return (buf0, )
2022-11-23T02:04:39.1313252Z 
2022-11-23T02:04:39.1313270Z 
2022-11-23T02:04:39.1313386Z if __name__ == "__main__":
2022-11-23T02:04:39.1313530Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1313704Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1313986Z     arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1314245Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.1314498Z     arg2_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.1314671Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.1314693Z 
2022-11-23T02:04:39.1314712Z 
2022-11-23T02:04:39.1314848Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.1314955Z import torch
2022-11-23T02:04:39.1315041Z import random
2022-11-23T02:04:39.1315204Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.1315378Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.1315398Z 
2022-11-23T02:04:39.1315518Z aten = torch.ops.aten
2022-11-23T02:04:39.1315711Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.1315847Z async_compile = AsyncCompile()
2022-11-23T02:04:39.1315867Z 
2022-11-23T02:04:39.1315885Z 
2022-11-23T02:04:39.1316083Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.1316360Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.1316509Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.1316657Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:39.1316869Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.1317012Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.1317105Z {
2022-11-23T02:04:39.1317246Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.1317342Z     {
2022-11-23T02:04:39.1317458Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.1317580Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.1317675Z         {
2022-11-23T02:04:39.1317802Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.1317901Z             {
2022-11-23T02:04:39.1318025Z                 #pragma GCC ivdep
2022-11-23T02:04:39.1318156Z                 for(long i2=0; i2<12; i2+=1)
2022-11-23T02:04:39.1318237Z                 {
2022-11-23T02:04:39.1318334Z                     {
2022-11-23T02:04:39.1318435Z                         {
2022-11-23T02:04:39.1318572Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:39.1318707Z                             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:39.1318875Z                             auto tmp2 = in_ptr2[i2 + (12*tmp1) + (96*tmp0)];
2022-11-23T02:04:39.1319027Z                             out_ptr0[i2 + (12*i1) + (48*i0)] = tmp2;
2022-11-23T02:04:39.1319111Z                         }
2022-11-23T02:04:39.1319268Z                     }
2022-11-23T02:04:39.1319373Z                 }
2022-11-23T02:04:39.1319469Z             }
2022-11-23T02:04:39.1319565Z         }
2022-11-23T02:04:39.1319659Z     }
2022-11-23T02:04:39.1319755Z }
2022-11-23T02:04:39.1319868Z ''')
2022-11-23T02:04:39.1319888Z 
2022-11-23T02:04:39.1319906Z 
2022-11-23T02:04:39.1320041Z async_compile.wait(globals())
2022-11-23T02:04:39.1320149Z del async_compile
2022-11-23T02:04:39.1320168Z 
2022-11-23T02:04:39.1320273Z def call(args):
2022-11-23T02:04:39.1320393Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.1320500Z     args.clear()
2022-11-23T02:04:39.1320788Z     buf0 = empty_strided((4, 4, 12), (48, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1321036Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.1321141Z     del arg0_1
2022-11-23T02:04:39.1321241Z     del arg1_1
2022-11-23T02:04:39.1321341Z     del arg2_1
2022-11-23T02:04:39.1321452Z     return (buf0, )
2022-11-23T02:04:39.1321472Z 
2022-11-23T02:04:39.1321490Z 
2022-11-23T02:04:39.1321603Z if __name__ == "__main__":
2022-11-23T02:04:39.1321767Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1321938Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1322204Z     arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1322471Z     arg1_1 = rand_strided((1, 4), (4, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.1322733Z     arg2_1 = rand_strided((4, 1), (1, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.1322907Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.1322932Z 
2022-11-23T02:04:39.1323034Z ok (5.343s)
2022-11-23T02:04:39.1323445Z   test_index2_cpu (__main__.CpuTests) ... [2022-11-23 01:54:50,320] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1323875Z [2022-11-23 01:54:50,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1324177Z [2022-11-23 01:54:50,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1324499Z [2022-11-23 01:54:50,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1324878Z [2022-11-23 01:54:50,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1325307Z [2022-11-23 01:54:50,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1325901Z [2022-11-23 01:54:50,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1326338Z [2022-11-23 01:54:50,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1326844Z [2022-11-23 01:54:50,321] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9f890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2833> 
2022-11-23T02:04:39.1326983Z  2835           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.1327118Z                2 LOAD_METHOD              1 (index)
2022-11-23T02:04:39.1327249Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1327387Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1327498Z                8 BUILD_LIST               1
2022-11-23T02:04:39.1327627Z               10 CALL_METHOD              2
2022-11-23T02:04:39.1327650Z 
2022-11-23T02:04:39.1327785Z 2836          12 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.1327921Z               14 LOAD_METHOD              1 (index)
2022-11-23T02:04:39.1328053Z               16 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1328235Z               18 LOAD_CONST               0 (None)
2022-11-23T02:04:39.1328369Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1328478Z               22 BUILD_LIST               2
2022-11-23T02:04:39.1328605Z               24 CALL_METHOD              2
2022-11-23T02:04:39.1328624Z 
2022-11-23T02:04:39.1328749Z 2834          26 BUILD_TUPLE              2
2022-11-23T02:04:39.1328862Z               28 RETURN_VALUE
2022-11-23T02:04:39.1328954Z  
2022-11-23T02:04:39.1328973Z 
2022-11-23T02:04:39.1329405Z [2022-11-23 01:54:50,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2835
2022-11-23T02:04:39.1329706Z [2022-11-23 01:54:50,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.1330116Z [2022-11-23 01:54:50,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.1330461Z [2022-11-23 01:54:50,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T02:04:39.1330823Z [2022-11-23 01:54:50,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T02:04:39.1331241Z [2022-11-23 01:54:50,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1331653Z [2022-11-23 01:54:50,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.1332068Z [2022-11-23 01:54:50,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2836
2022-11-23T02:04:39.1332408Z [2022-11-23 01:54:50,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.1332858Z [2022-11-23 01:54:50,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.1333233Z [2022-11-23 01:54:50,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.index)]
2022-11-23T02:04:39.1333660Z [2022-11-23 01:54:50,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.index), TensorVariable()]
2022-11-23T02:04:39.1334124Z [2022-11-23 01:54:50,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.1334635Z [2022-11-23 01:54:50,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T02:04:39.1335151Z [2022-11-23 01:54:50,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.1335552Z [2022-11-23 01:54:50,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2834
2022-11-23T02:04:39.1335916Z [2022-11-23 01:54:50,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1336894Z [2022-11-23 01:54:50,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1337821Z [2022-11-23 01:54:50,342] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9f890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2833>
2022-11-23T02:04:39.1338216Z [2022-11-23 01:54:50,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1338660Z [2022-11-23 01:54:50,343] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1339015Z [2022-11-23 01:54:50,345] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1339353Z [2022-11-23 01:54:50,351] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1339611Z [2022-11-23 01:54:50,351] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1339804Z  __compiled_fn_193 <eval_with_key>.1622 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1339918Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1340044Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.1340205Z call_function, index, aten.index, (ex_0_, [ex_1_]), {}
2022-11-23T02:04:39.1340381Z call_function, index_1, aten.index, (ex_0_, [None, ex_1_]), {}
2022-11-23T02:04:39.1340535Z output, output, output, ((index, index_1),), {}
2022-11-23T02:04:39.1340555Z 
2022-11-23T02:04:39.1340997Z [2022-11-23 01:54:50,352] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1341136Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1341268Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1341376Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1341512Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1341634Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1341763Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1341938Z              12 RETURN_VALUE
2022-11-23T02:04:39.1341958Z 
2022-11-23T02:04:39.1342057Z  
2022-11-23T02:04:39.1342486Z [2022-11-23 01:54:50,352] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1342626Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_193)
2022-11-23T02:04:39.1342758Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1342894Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1343012Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1343140Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1343268Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1343380Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.1343488Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.1343637Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.1343786Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1343917Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1344028Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.1344272Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1344402Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1344514Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.1344623Z              30 BUILD_TUPLE              2
2022-11-23T02:04:39.1344735Z              32 RETURN_VALUE
2022-11-23T02:04:39.1344754Z 
2022-11-23T02:04:39.1344848Z  
2022-11-23T02:04:39.1345107Z [2022-11-23 01:54:50,354] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1345215Z  - 
2022-11-23T02:04:39.1345386Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1345484Z             {
2022-11-23T02:04:39.1345665Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1345925Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.1346095Z                 'obj_weakref': None
2022-11-23T02:04:39.1346402Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1346505Z             }
2022-11-23T02:04:39.1346600Z             
2022-11-23T02:04:39.1346708Z  - 
2022-11-23T02:04:39.1346870Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1346968Z             {
2022-11-23T02:04:39.1347168Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1347378Z                 'code': None,
2022-11-23T02:04:39.1347675Z                 'obj_weakref': <weakref at 0x7fa531fa78d0; to 'Tensor' at 0x7fa5322e3420>
2022-11-23T02:04:39.1348015Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1348112Z             }
2022-11-23T02:04:39.1348188Z             
2022-11-23T02:04:39.1348293Z  - 
2022-11-23T02:04:39.1348465Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.1348562Z             {
2022-11-23T02:04:39.1348759Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1348912Z                 'code': None,
2022-11-23T02:04:39.1349194Z                 'obj_weakref': <weakref at 0x7fa53c35a2f0; to 'Tensor' at 0x7fa53228c180>
2022-11-23T02:04:39.1349520Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1349619Z             }
2022-11-23T02:04:39.1349723Z             
2022-11-23T02:04:39.1349830Z  - 
2022-11-23T02:04:39.1350012Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1350110Z             {
2022-11-23T02:04:39.1350298Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1350514Z                 'code': ['___check_obj_id(model, 140347484686080)'],
2022-11-23T02:04:39.1350686Z                 'obj_weakref': None
2022-11-23T02:04:39.1350993Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1351093Z             }
2022-11-23T02:04:39.1351190Z             
2022-11-23T02:04:39.1351296Z  - 
2022-11-23T02:04:39.1351472Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1351554Z             {
2022-11-23T02:04:39.1351745Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1352037Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1352207Z                 'obj_weakref': None
2022-11-23T02:04:39.1352514Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1352614Z             }
2022-11-23T02:04:39.1352712Z             
2022-11-23T02:04:39.1352798Z  - 
2022-11-23T02:04:39.1352982Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.1353082Z             {
2022-11-23T02:04:39.1353253Z                 'guard_types': None,
2022-11-23T02:04:39.1353406Z                 'code': None,
2022-11-23T02:04:39.1353574Z                 'obj_weakref': None
2022-11-23T02:04:39.1353747Z                 'guarded_class': None
2022-11-23T02:04:39.1353825Z             }
2022-11-23T02:04:39.1353917Z             
2022-11-23T02:04:39.1354383Z [2022-11-23 01:54:50,364] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 192
2022-11-23T02:04:39.1354876Z [2022-11-23 01:54:52,974] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f3/cf3qxvd4ezftsseclyqzz4kxt7c25pxosxfeyuqmpafsfw6zxffh.py
2022-11-23T02:04:39.1355239Z [2022-11-23 01:54:52,974] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 192
2022-11-23T02:04:39.1355260Z 
2022-11-23T02:04:39.1355402Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.1355507Z import torch
2022-11-23T02:04:39.1355592Z import random
2022-11-23T02:04:39.1355758Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.1355931Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.1355951Z 
2022-11-23T02:04:39.1356067Z aten = torch.ops.aten
2022-11-23T02:04:39.1356255Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.1356393Z async_compile = AsyncCompile()
2022-11-23T02:04:39.1356416Z 
2022-11-23T02:04:39.1356434Z 
2022-11-23T02:04:39.1356625Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.1356907Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.1357129Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.1357273Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.1357415Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.1357555Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.1357651Z {
2022-11-23T02:04:39.1357791Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.1357886Z     {
2022-11-23T02:04:39.1358015Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.1358117Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.1358215Z         {
2022-11-23T02:04:39.1358339Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T02:04:39.1358436Z             {
2022-11-23T02:04:39.1358537Z                 {
2022-11-23T02:04:39.1358637Z                     {
2022-11-23T02:04:39.1358757Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.1358907Z                         auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2022-11-23T02:04:39.1359050Z                         out_ptr0[i1 + (64*i0)] = tmp1;
2022-11-23T02:04:39.1359151Z                     }
2022-11-23T02:04:39.1359248Z                 }
2022-11-23T02:04:39.1359349Z             }
2022-11-23T02:04:39.1359444Z         }
2022-11-23T02:04:39.1359540Z         #pragma omp for 
2022-11-23T02:04:39.1359660Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.1359754Z         {
2022-11-23T02:04:39.1359872Z             #pragma GCC ivdep
2022-11-23T02:04:39.1359992Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.1360091Z             {
2022-11-23T02:04:39.1360213Z                 #pragma GCC ivdep
2022-11-23T02:04:39.1360322Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T02:04:39.1360421Z                 {
2022-11-23T02:04:39.1360522Z                     {
2022-11-23T02:04:39.1360624Z                         {
2022-11-23T02:04:39.1360765Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:39.1360928Z                             auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)];
2022-11-23T02:04:39.1361083Z                             out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1;
2022-11-23T02:04:39.1361168Z                         }
2022-11-23T02:04:39.1361267Z                     }
2022-11-23T02:04:39.1361366Z                 }
2022-11-23T02:04:39.1361461Z             }
2022-11-23T02:04:39.1361553Z         }
2022-11-23T02:04:39.1361644Z     }
2022-11-23T02:04:39.1361717Z }
2022-11-23T02:04:39.1361846Z ''')
2022-11-23T02:04:39.1361867Z 
2022-11-23T02:04:39.1361885Z 
2022-11-23T02:04:39.1362019Z async_compile.wait(globals())
2022-11-23T02:04:39.1362127Z del async_compile
2022-11-23T02:04:39.1362146Z 
2022-11-23T02:04:39.1362251Z def call(args):
2022-11-23T02:04:39.1362362Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.1362542Z     args.clear()
2022-11-23T02:04:39.1362837Z     buf0 = empty_strided((1, 4, 8, 8), (256, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1363102Z     buf1 = empty_strided((8, 1, 4, 8), (32, 256, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1363368Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.1363473Z     del arg0_1
2022-11-23T02:04:39.1363574Z     del arg1_1
2022-11-23T02:04:39.1363691Z     return (buf0, buf1, )
2022-11-23T02:04:39.1363710Z 
2022-11-23T02:04:39.1363729Z 
2022-11-23T02:04:39.1363845Z if __name__ == "__main__":
2022-11-23T02:04:39.1364012Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1364190Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1364454Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1364714Z     arg1_1 = rand_strided((1, 4), (4, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.1364883Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.1364903Z 
2022-11-23T02:04:39.1365006Z ok (2.662s)
2022-11-23T02:04:39.1365486Z   test_index_put1_cpu (__main__.CpuTests) ... [2022-11-23 01:54:53,191] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1365921Z [2022-11-23 01:54:53,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1366221Z [2022-11-23 01:54:53,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1366560Z [2022-11-23 01:54:53,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1366939Z [2022-11-23 01:54:53,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1367348Z [2022-11-23 01:54:53,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1367821Z [2022-11-23 01:54:53,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1368252Z [2022-11-23 01:54:53,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1368756Z [2022-11-23 01:54:53,192] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448> 
2022-11-23T02:04:39.1368899Z  3450           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.1369046Z                2 LOAD_METHOD              1 (index_put)
2022-11-23T02:04:39.1369179Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1369310Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1369446Z                8 BUILD_LIST               1
2022-11-23T02:04:39.1369557Z               10 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1369683Z               12 CALL_METHOD              3
2022-11-23T02:04:39.1369704Z 
2022-11-23T02:04:39.1369846Z 3451          14 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.1369992Z               16 LOAD_METHOD              2 (index_put_)
2022-11-23T02:04:39.1370124Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1370253Z               20 LOAD_CONST               1 (1)
2022-11-23T02:04:39.1370362Z               22 BINARY_ADD
2022-11-23T02:04:39.1370471Z               24 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1370598Z               26 LOAD_CONST               1 (1)
2022-11-23T02:04:39.1370707Z               28 BINARY_ADD
2022-11-23T02:04:39.1370835Z               30 BUILD_LIST               1
2022-11-23T02:04:39.1370960Z               32 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1371157Z               34 LOAD_CONST               1 (1)
2022-11-23T02:04:39.1371269Z               36 BINARY_ADD
2022-11-23T02:04:39.1371378Z               38 CALL_METHOD              3
2022-11-23T02:04:39.1371506Z               40 LOAD_CONST               1 (1)
2022-11-23T02:04:39.1371616Z               42 BINARY_ADD
2022-11-23T02:04:39.1371638Z 
2022-11-23T02:04:39.1371767Z 3449          44 BUILD_TUPLE              2
2022-11-23T02:04:39.1371880Z               46 RETURN_VALUE
2022-11-23T02:04:39.1371977Z  
2022-11-23T02:04:39.1371996Z 
2022-11-23T02:04:39.1372430Z [2022-11-23 01:54:53,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3450
2022-11-23T02:04:39.1372735Z [2022-11-23 01:54:53,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.1373218Z [2022-11-23 01:54:53,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1373660Z [2022-11-23 01:54:53,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_put of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.1374190Z [2022-11-23 01:54:53,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_put of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.1374719Z [2022-11-23 01:54:53,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method index_put of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1375229Z [2022-11-23 01:54:53,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method index_put of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.1375781Z [2022-11-23 01:54:53,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_put of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.1377023Z [2022-11-23 01:54:53,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3451
2022-11-23T02:04:39.1377652Z [2022-11-23 01:54:53,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.1378434Z [2022-11-23 01:54:53,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1378926Z [2022-11-23 01:54:53,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.1379440Z [2022-11-23 01:54:53,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.1380016Z [2022-11-23 01:54:53,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1380525Z [2022-11-23 01:54:53,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.1381072Z [2022-11-23 01:54:53,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1381674Z [2022-11-23 01:54:53,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1382341Z [2022-11-23 01:54:53,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1382886Z [2022-11-23 01:54:53,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.1383463Z [2022-11-23 01:54:53,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.1384101Z [2022-11-23 01:54:53,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1384758Z [2022-11-23 01:54:53,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.1385127Z [2022-11-23 01:54:53,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1385541Z [2022-11-23 01:54:53,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1385962Z [2022-11-23 01:54:53,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3449
2022-11-23T02:04:39.1386325Z [2022-11-23 01:54:53,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1386663Z [2022-11-23 01:54:53,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1387169Z [2022-11-23 01:54:53,209] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448>
2022-11-23T02:04:39.1387557Z [2022-11-23 01:54:53,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1387877Z [2022-11-23 01:54:53,210] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1388200Z [2022-11-23 01:54:53,216] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1388538Z [2022-11-23 01:54:53,226] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1388801Z [2022-11-23 01:54:53,226] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1388994Z  __compiled_fn_194 <eval_with_key>.1628 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1389125Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1389255Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.1389380Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.1389741Z call_function, index_put, <built-in method index_put of type object at 0x7fa5855aec60>, (ex_0_, [ex_1_], ex_2_), {}
2022-11-23T02:04:39.1389965Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.1390206Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T02:04:39.1390444Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T02:04:39.1390837Z call_function, index_put_, <built-in method index_put_ of type object at 0x7fa5855aec60>, (add, [add_1], add_2), {}
2022-11-23T02:04:39.1391046Z call_function, add_3, <built-in function add>, (index_put_, 1), {}
2022-11-23T02:04:39.1391202Z output, output, output, ((index_put, add_3),), {}
2022-11-23T02:04:39.1391306Z 
2022-11-23T02:04:39.1391729Z [2022-11-23 01:54:53,227] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1391871Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1391984Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1392112Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1392249Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1392375Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1392508Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1392623Z              12 RETURN_VALUE
2022-11-23T02:04:39.1392642Z 
2022-11-23T02:04:39.1392735Z  
2022-11-23T02:04:39.1393175Z [2022-11-23 01:54:53,227] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1393317Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_194)
2022-11-23T02:04:39.1393455Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1393585Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1393704Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1393888Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1394023Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1394136Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.1394244Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1394373Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1394486Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.1394615Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.1394767Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.1394914Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1395046Z              26 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1395145Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.1395289Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1395417Z              32 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1395530Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.1395661Z              36 BUILD_TUPLE              2
2022-11-23T02:04:39.1395774Z              38 RETURN_VALUE
2022-11-23T02:04:39.1395794Z 
2022-11-23T02:04:39.1395887Z  
2022-11-23T02:04:39.1396134Z [2022-11-23 01:54:53,228] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1396244Z  - 
2022-11-23T02:04:39.1396416Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1396513Z             {
2022-11-23T02:04:39.1396710Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1396970Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.1397140Z                 'obj_weakref': None
2022-11-23T02:04:39.1397431Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1397534Z             }
2022-11-23T02:04:39.1397629Z             
2022-11-23T02:04:39.1397737Z  - 
2022-11-23T02:04:39.1397913Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1398009Z             {
2022-11-23T02:04:39.1398217Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1398352Z                 'code': None,
2022-11-23T02:04:39.1398641Z                 'obj_weakref': <weakref at 0x7fa5501b49f0; to 'Tensor' at 0x7fa531ea6890>
2022-11-23T02:04:39.1398984Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1399082Z             }
2022-11-23T02:04:39.1399178Z             
2022-11-23T02:04:39.1399284Z  - 
2022-11-23T02:04:39.1399456Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.1399533Z             {
2022-11-23T02:04:39.1399733Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1399956Z                 'code': None,
2022-11-23T02:04:39.1400240Z                 'obj_weakref': <weakref at 0x7fa5501b7dd0; to 'Tensor' at 0x7fa5320f51c0>
2022-11-23T02:04:39.1400578Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1400679Z             }
2022-11-23T02:04:39.1400776Z             
2022-11-23T02:04:39.1400863Z  - 
2022-11-23T02:04:39.1401039Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.1401134Z             {
2022-11-23T02:04:39.1401330Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1401486Z                 'code': None,
2022-11-23T02:04:39.1401773Z                 'obj_weakref': <weakref at 0x7fa53c35af20; to 'Tensor' at 0x7fa5320f7dd0>
2022-11-23T02:04:39.1402113Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1402209Z             }
2022-11-23T02:04:39.1402350Z             
2022-11-23T02:04:39.1402461Z  - 
2022-11-23T02:04:39.1402646Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1402742Z             {
2022-11-23T02:04:39.1402930Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1403161Z                 'code': ['___check_obj_id(model, 140347484686080)'],
2022-11-23T02:04:39.1403368Z                 'obj_weakref': None
2022-11-23T02:04:39.1403688Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1403784Z             }
2022-11-23T02:04:39.1403882Z             
2022-11-23T02:04:39.1403985Z  - 
2022-11-23T02:04:39.1404155Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1404251Z             {
2022-11-23T02:04:39.1404426Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1404716Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1404884Z                 'obj_weakref': None
2022-11-23T02:04:39.1405191Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1405288Z             }
2022-11-23T02:04:39.1405382Z             
2022-11-23T02:04:39.1405486Z  - 
2022-11-23T02:04:39.1405651Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.1405751Z             {
2022-11-23T02:04:39.1405920Z                 'guard_types': None,
2022-11-23T02:04:39.1406072Z                 'code': None,
2022-11-23T02:04:39.1406240Z                 'obj_weakref': None
2022-11-23T02:04:39.1406415Z                 'guarded_class': None
2022-11-23T02:04:39.1406508Z             }
2022-11-23T02:04:39.1406585Z             
2022-11-23T02:04:39.1406935Z [2022-11-23 01:54:53,246] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 193
2022-11-23T02:04:39.1407416Z [2022-11-23 01:54:55,932] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nv/cnvlvj4u2ehz66wlq43qmsijq3ja43ljldt7a6oouzkawu2zex3x.py
2022-11-23T02:04:39.1407776Z [2022-11-23 01:54:55,933] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 193
2022-11-23T02:04:39.1408096Z [2022-11-23 01:54:56,264] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1408523Z [2022-11-23 01:54:56,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1408820Z [2022-11-23 01:54:56,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1409160Z [2022-11-23 01:54:56,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1409532Z [2022-11-23 01:54:56,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1409941Z [2022-11-23 01:54:56,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1410481Z [2022-11-23 01:54:56,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1410917Z [2022-11-23 01:54:56,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1411420Z [2022-11-23 01:54:56,265] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448> 
2022-11-23T02:04:39.1411560Z  3450           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.1411706Z                2 LOAD_METHOD              1 (index_put)
2022-11-23T02:04:39.1411840Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1411971Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1412102Z                8 BUILD_LIST               1
2022-11-23T02:04:39.1412216Z               10 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1412340Z               12 CALL_METHOD              3
2022-11-23T02:04:39.1412361Z 
2022-11-23T02:04:39.1412496Z 3451          14 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.1412696Z               16 LOAD_METHOD              2 (index_put_)
2022-11-23T02:04:39.1412833Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1412963Z               20 LOAD_CONST               1 (1)
2022-11-23T02:04:39.1413075Z               22 BINARY_ADD
2022-11-23T02:04:39.1413203Z               24 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1413313Z               26 LOAD_CONST               1 (1)
2022-11-23T02:04:39.1413421Z               28 BINARY_ADD
2022-11-23T02:04:39.1413550Z               30 BUILD_LIST               1
2022-11-23T02:04:39.1413680Z               32 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1413805Z               34 LOAD_CONST               1 (1)
2022-11-23T02:04:39.1413913Z               36 BINARY_ADD
2022-11-23T02:04:39.1414044Z               38 CALL_METHOD              3
2022-11-23T02:04:39.1414153Z               40 LOAD_CONST               1 (1)
2022-11-23T02:04:39.1414261Z               42 BINARY_ADD
2022-11-23T02:04:39.1414281Z 
2022-11-23T02:04:39.1414418Z 3449          44 BUILD_TUPLE              2
2022-11-23T02:04:39.1414532Z               46 RETURN_VALUE
2022-11-23T02:04:39.1414623Z  
2022-11-23T02:04:39.1414642Z 
2022-11-23T02:04:39.1415077Z [2022-11-23 01:54:56,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3450
2022-11-23T02:04:39.1415377Z [2022-11-23 01:54:56,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.1415869Z [2022-11-23 01:54:56,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1416999Z [2022-11-23 01:54:56,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_put of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.1417888Z [2022-11-23 01:54:56,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_put of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.1418515Z [2022-11-23 01:54:56,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method index_put of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1419019Z [2022-11-23 01:54:56,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method index_put of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.1419574Z [2022-11-23 01:54:56,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_put of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.1420160Z [2022-11-23 01:54:56,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3451
2022-11-23T02:04:39.1420580Z [2022-11-23 01:54:56,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.1421119Z [2022-11-23 01:54:56,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1421600Z [2022-11-23 01:54:56,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.1422109Z [2022-11-23 01:54:56,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.1422679Z [2022-11-23 01:54:56,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1423261Z [2022-11-23 01:54:56,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.1423826Z [2022-11-23 01:54:56,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1424422Z [2022-11-23 01:54:56,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1437881Z [2022-11-23 01:54:56,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1438733Z [2022-11-23 01:54:56,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.1439348Z [2022-11-23 01:54:56,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.1440008Z [2022-11-23 01:54:56,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1440622Z [2022-11-23 01:54:56,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.1441001Z [2022-11-23 01:54:56,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1441429Z [2022-11-23 01:54:56,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1441869Z [2022-11-23 01:54:56,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3449
2022-11-23T02:04:39.1442243Z [2022-11-23 01:54:56,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1442592Z [2022-11-23 01:54:56,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1443338Z [2022-11-23 01:54:56,279] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448>
2022-11-23T02:04:39.1443664Z [2022-11-23 01:54:56,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1443998Z [2022-11-23 01:54:56,279] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1444552Z [2022-11-23 01:54:56,282] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1445013Z [2022-11-23 01:54:56,291] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1445289Z [2022-11-23 01:54:56,291] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1445495Z  __compiled_fn_195 <eval_with_key>.1634 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1445644Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1445781Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.1445889Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.1446343Z call_function, index_put, <built-in method index_put of type object at 0x7fa5855aec60>, (ex_0_, [ex_1_], ex_2_), {}
2022-11-23T02:04:39.1446607Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.1446857Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T02:04:39.1447101Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T02:04:39.1447460Z call_function, index_put_, <built-in method index_put_ of type object at 0x7fa5855aec60>, (add, [add_1], add_2), {}
2022-11-23T02:04:39.1447725Z call_function, add_3, <built-in function add>, (index_put_, 1), {}
2022-11-23T02:04:39.1447892Z output, output, output, ((index_put, add_3),), {}
2022-11-23T02:04:39.1447920Z 
2022-11-23T02:04:39.1448369Z [2022-11-23 01:54:56,292] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1448499Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1448646Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1448787Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1448932Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1449068Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1449208Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1449333Z              12 RETURN_VALUE
2022-11-23T02:04:39.1449355Z 
2022-11-23T02:04:39.1449431Z  
2022-11-23T02:04:39.1449881Z [2022-11-23 01:54:56,292] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1450044Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_195)
2022-11-23T02:04:39.1450182Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1450332Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1450460Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1450599Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1450737Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1450838Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.1450978Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1451114Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1451234Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.1451370Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.1451528Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.1451688Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1451807Z              26 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1451928Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.1452084Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1452302Z              32 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1452423Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.1452562Z              36 BUILD_TUPLE              2
2022-11-23T02:04:39.1452682Z              38 RETURN_VALUE
2022-11-23T02:04:39.1452707Z 
2022-11-23T02:04:39.1452786Z  
2022-11-23T02:04:39.1453064Z [2022-11-23 01:54:56,294] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1453181Z  - 
2022-11-23T02:04:39.1453360Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1453465Z             {
2022-11-23T02:04:39.1453676Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1453950Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.1454105Z                 'obj_weakref': None
2022-11-23T02:04:39.1454424Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1454531Z             }
2022-11-23T02:04:39.1454643Z             
2022-11-23T02:04:39.1454764Z  - 
2022-11-23T02:04:39.1454951Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1455056Z             {
2022-11-23T02:04:39.1455290Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1455436Z                 'code': None,
2022-11-23T02:04:39.1455762Z                 'obj_weakref': <weakref at 0x7fa5500bee30; to 'Tensor' at 0x7fa5322f9bc0>
2022-11-23T02:04:39.1456730Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1456920Z             }
2022-11-23T02:04:39.1457089Z             
2022-11-23T02:04:39.1457291Z  - 
2022-11-23T02:04:39.1457569Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.1457734Z             {
2022-11-23T02:04:39.1457961Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1458128Z                 'code': None,
2022-11-23T02:04:39.1458432Z                 'obj_weakref': <weakref at 0x7fa531f4c3b0; to 'Tensor' at 0x7fa5322f87c0>
2022-11-23T02:04:39.1458790Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1458897Z             }
2022-11-23T02:04:39.1458977Z             
2022-11-23T02:04:39.1459094Z  - 
2022-11-23T02:04:39.1459278Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.1459385Z             {
2022-11-23T02:04:39.1459600Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1459763Z                 'code': None,
2022-11-23T02:04:39.1460061Z                 'obj_weakref': <weakref at 0x7fa531f4dee0; to 'Tensor' at 0x7fa5322faa70>
2022-11-23T02:04:39.1460383Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1460494Z             }
2022-11-23T02:04:39.1460597Z             
2022-11-23T02:04:39.1460711Z  - 
2022-11-23T02:04:39.1460902Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1461007Z             {
2022-11-23T02:04:39.1461210Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1461429Z                 'code': ['___check_obj_id(model, 140347484686080)'],
2022-11-23T02:04:39.1461610Z                 'obj_weakref': None
2022-11-23T02:04:39.1461932Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1462043Z             }
2022-11-23T02:04:39.1462150Z             
2022-11-23T02:04:39.1462264Z  - 
2022-11-23T02:04:39.1462446Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1462528Z             {
2022-11-23T02:04:39.1462725Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1463028Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1463211Z                 'obj_weakref': None
2022-11-23T02:04:39.1463524Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1463634Z             }
2022-11-23T02:04:39.1463920Z             
2022-11-23T02:04:39.1464015Z  - 
2022-11-23T02:04:39.1464212Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.1464316Z             {
2022-11-23T02:04:39.1464494Z                 'guard_types': None,
2022-11-23T02:04:39.1464657Z                 'code': None,
2022-11-23T02:04:39.1464834Z                 'obj_weakref': None
2022-11-23T02:04:39.1465018Z                 'guarded_class': None
2022-11-23T02:04:39.1465098Z             }
2022-11-23T02:04:39.1465202Z             
2022-11-23T02:04:39.1465570Z [2022-11-23 01:54:56,310] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 194
2022-11-23T02:04:39.1466070Z [2022-11-23 01:54:58,994] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j4/cj4uqze2rfml5oarotpev2t5fqnrxiczxz65rlqkfrxrdg2nzmu5.py
2022-11-23T02:04:39.1466440Z [2022-11-23 01:54:58,995] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 194
2022-11-23T02:04:39.1466470Z 
2022-11-23T02:04:39.1466619Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.1466734Z import torch
2022-11-23T02:04:39.1466848Z import random
2022-11-23T02:04:39.1467053Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.1467297Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.1467320Z 
2022-11-23T02:04:39.1467479Z aten = torch.ops.aten
2022-11-23T02:04:39.1467694Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.1467807Z async_compile = AsyncCompile()
2022-11-23T02:04:39.1467826Z 
2022-11-23T02:04:39.1467845Z 
2022-11-23T02:04:39.1468048Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.1468340Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.1468517Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.1468653Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:39.1468811Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.1468963Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.1469116Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.1469262Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.1469367Z {
2022-11-23T02:04:39.1469519Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.1469622Z     {
2022-11-23T02:04:39.1469743Z         #pragma omp for 
2022-11-23T02:04:39.1469856Z         for(long i0=0; i0<1254400; i0+=1)
2022-11-23T02:04:39.1469960Z         {
2022-11-23T02:04:39.1470198Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.1470398Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.1470535Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1470681Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.1470823Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.1470906Z         }
2022-11-23T02:04:39.1471054Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.1471198Z         for(long i0=10035200; i0<10035200; i0+=1)
2022-11-23T02:04:39.1471297Z         {
2022-11-23T02:04:39.1471429Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.1471583Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.1471717Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1471820Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.1493507Z             out_ptr1[i0] = tmp2;
2022-11-23T02:04:39.1493729Z         }
2022-11-23T02:04:39.1504261Z         #pragma omp for 
2022-11-23T02:04:39.1504512Z         for(long i0=0; i0<601; i0+=1)
2022-11-23T02:04:39.1504619Z         {
2022-11-23T02:04:39.1504759Z             #pragma GCC ivdep
2022-11-23T02:04:39.1504879Z             for(long i1=0; i1<12544; i1+=1)
2022-11-23T02:04:39.1505035Z             {
2022-11-23T02:04:39.1505101Z                 {
2022-11-23T02:04:39.1505213Z                     {
2022-11-23T02:04:39.1505703Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T02:04:39.1505848Z                         auto tmp1 = in_ptr2[i1 + (12544*i0)];
2022-11-23T02:04:39.1505990Z                         auto tmp2 = static_cast<long>(1);
2022-11-23T02:04:39.1506125Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:39.1506267Z                         auto tmp4 = static_cast<float>(1);
2022-11-23T02:04:39.1506397Z                         auto tmp5 = tmp1 + tmp4;
2022-11-23T02:04:39.1506532Z                         out_ptr0[i1 + (12544*tmp0)] = tmp1;
2022-11-23T02:04:39.1506667Z                         out_ptr1[i1 + (12544*tmp3)] = tmp5;
2022-11-23T02:04:39.1506760Z                     }
2022-11-23T02:04:39.1506851Z                 }
2022-11-23T02:04:39.1506929Z             }
2022-11-23T02:04:39.1507017Z         }
2022-11-23T02:04:39.1507124Z         #pragma omp for 
2022-11-23T02:04:39.1507241Z         for(long i0=0; i0<1254400; i0+=1)
2022-11-23T02:04:39.1507329Z         {
2022-11-23T02:04:39.1507564Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T02:04:39.1507747Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.1507855Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1508085Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T02:04:39.1508183Z         }
2022-11-23T02:04:39.1508312Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.1508436Z         for(long i0=10035200; i0<10035200; i0+=1)
2022-11-23T02:04:39.1508522Z         {
2022-11-23T02:04:39.1508639Z             auto tmp0 = out_ptr1[i0];
2022-11-23T02:04:39.1508762Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.1508922Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1508991Z             out_ptr2[i0] = tmp2;
2022-11-23T02:04:39.1509128Z         }
2022-11-23T02:04:39.1509167Z     }
2022-11-23T02:04:39.1509283Z }
2022-11-23T02:04:39.1509486Z ''')
2022-11-23T02:04:39.1509521Z 
2022-11-23T02:04:39.1509548Z 
2022-11-23T02:04:39.1509666Z async_compile.wait(globals())
2022-11-23T02:04:39.1509767Z del async_compile
2022-11-23T02:04:39.1509788Z 
2022-11-23T02:04:39.1509885Z def call(args):
2022-11-23T02:04:39.1509998Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.1510098Z     args.clear()
2022-11-23T02:04:39.1510429Z     buf0 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1510722Z     buf2 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1511003Z     buf4 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1511319Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T02:04:39.1511421Z     del arg0_1
2022-11-23T02:04:39.1511511Z     del arg1_1
2022-11-23T02:04:39.1511603Z     del arg2_1
2022-11-23T02:04:39.1511725Z     return (buf0, buf4, )
2022-11-23T02:04:39.1511745Z 
2022-11-23T02:04:39.1511763Z 
2022-11-23T02:04:39.1511870Z if __name__ == "__main__":
2022-11-23T02:04:39.1512031Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1512192Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1512492Z     arg0_1 = rand_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1512750Z     arg1_1 = rand_strided((601, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.1513043Z     arg2_1 = rand_strided((601, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1513209Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.1513231Z 
2022-11-23T02:04:39.1513249Z 
2022-11-23T02:04:39.1513377Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.1513478Z import torch
2022-11-23T02:04:39.1513576Z import random
2022-11-23T02:04:39.1513721Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.1513980Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.1513999Z 
2022-11-23T02:04:39.1514109Z aten = torch.ops.aten
2022-11-23T02:04:39.1514291Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.1514423Z async_compile = AsyncCompile()
2022-11-23T02:04:39.1514445Z 
2022-11-23T02:04:39.1514463Z 
2022-11-23T02:04:39.1514660Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.1514933Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.1515096Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.1515237Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:39.1515368Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.1515503Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.1515635Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.1515771Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.1515860Z {
2022-11-23T02:04:39.1515996Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.1516085Z     {
2022-11-23T02:04:39.1516182Z         #pragma omp for 
2022-11-23T02:04:39.1516422Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T02:04:39.1516519Z         {
2022-11-23T02:04:39.1516718Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.1516901Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.1517020Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1517148Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.1517261Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.1517349Z         }
2022-11-23T02:04:39.1517476Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.1517601Z         for(long i0=8192; i0<8192; i0+=1)
2022-11-23T02:04:39.1517689Z         {
2022-11-23T02:04:39.1517812Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.1517951Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.1518057Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1518167Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.1518279Z             out_ptr1[i0] = tmp2;
2022-11-23T02:04:39.1518367Z         }
2022-11-23T02:04:39.1518493Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.1518610Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.1518697Z         {
2022-11-23T02:04:39.1518802Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:39.1518893Z             {
2022-11-23T02:04:39.1518984Z                 {
2022-11-23T02:04:39.1519077Z                     {
2022-11-23T02:04:39.1519214Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T02:04:39.1519344Z                         auto tmp1 = in_ptr2[i0];
2022-11-23T02:04:39.1519479Z                         auto tmp2 = static_cast<long>(1);
2022-11-23T02:04:39.1519613Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:39.1519760Z                         auto tmp4 = static_cast<float>(1);
2022-11-23T02:04:39.1519932Z                         auto tmp5 = tmp1 + tmp4;
2022-11-23T02:04:39.1520026Z                         out_ptr0[i1 + (8*tmp0)] = tmp1;
2022-11-23T02:04:39.1520207Z                         out_ptr1[i1 + (8*tmp3)] = tmp5;
2022-11-23T02:04:39.1520274Z                     }
2022-11-23T02:04:39.1520408Z                 }
2022-11-23T02:04:39.1520489Z             }
2022-11-23T02:04:39.1520530Z         }
2022-11-23T02:04:39.1520635Z         #pragma omp for 
2022-11-23T02:04:39.1520756Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T02:04:39.1520848Z         {
2022-11-23T02:04:39.1521093Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T02:04:39.1521229Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.1521336Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1521539Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T02:04:39.1521631Z         }
2022-11-23T02:04:39.1521768Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.1521889Z         for(long i0=8192; i0<8192; i0+=1)
2022-11-23T02:04:39.1521984Z         {
2022-11-23T02:04:39.1522097Z             auto tmp0 = out_ptr1[i0];
2022-11-23T02:04:39.1522241Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.1522362Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.1522482Z             out_ptr2[i0] = tmp2;
2022-11-23T02:04:39.1522573Z         }
2022-11-23T02:04:39.1522665Z     }
2022-11-23T02:04:39.1522756Z }
2022-11-23T02:04:39.1522885Z ''')
2022-11-23T02:04:39.1522906Z 
2022-11-23T02:04:39.1522941Z 
2022-11-23T02:04:39.1523055Z async_compile.wait(globals())
2022-11-23T02:04:39.1523166Z del async_compile
2022-11-23T02:04:39.1523185Z 
2022-11-23T02:04:39.1523291Z def call(args):
2022-11-23T02:04:39.1523410Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.1523517Z     args.clear()
2022-11-23T02:04:39.1523813Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1524089Z     buf2 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1524403Z     buf4 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1524733Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T02:04:39.1524837Z     del arg0_1
2022-11-23T02:04:39.1524936Z     del arg1_1
2022-11-23T02:04:39.1525043Z     del arg2_1
2022-11-23T02:04:39.1525160Z     return (buf0, buf4, )
2022-11-23T02:04:39.1525179Z 
2022-11-23T02:04:39.1525198Z 
2022-11-23T02:04:39.1525306Z if __name__ == "__main__":
2022-11-23T02:04:39.1525473Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1525651Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1525951Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1526195Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.1526479Z     arg2_1 = rand_strided((4, 1, 1), (1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1526654Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.1526674Z 
2022-11-23T02:04:39.1526776Z ok (6.024s)
2022-11-23T02:04:39.1527218Z   test_index_put2_cpu (__main__.CpuTests) ... [2022-11-23 01:54:59,092] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1527638Z [2022-11-23 01:54:59,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1527942Z [2022-11-23 01:54:59,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1549461Z [2022-11-23 01:54:59,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1550333Z [2022-11-23 01:54:59,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1550759Z [2022-11-23 01:54:59,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1551233Z [2022-11-23 01:54:59,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1551670Z [2022-11-23 01:54:59,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1552190Z [2022-11-23 01:54:59,094] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3467> 
2022-11-23T02:04:39.1552745Z  3468           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.1552904Z                2 LOAD_METHOD              1 (index_put)
2022-11-23T02:04:39.1553047Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1553196Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1553336Z                8 BUILD_LIST               1
2022-11-23T02:04:39.1553446Z               10 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1553611Z               12 LOAD_CONST               1 (True)
2022-11-23T02:04:39.1553742Z               14 CALL_METHOD              4
2022-11-23T02:04:39.1553837Z               16 RETURN_VALUE
2022-11-23T02:04:39.1553936Z  
2022-11-23T02:04:39.1553961Z 
2022-11-23T02:04:39.1554400Z [2022-11-23 01:54:59,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3468
2022-11-23T02:04:39.1554774Z [2022-11-23 01:54:59,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.1555294Z [2022-11-23 01:54:59,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1555848Z [2022-11-23 01:54:59,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_put of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.1556345Z [2022-11-23 01:54:59,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_put of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.1556874Z [2022-11-23 01:54:59,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method index_put of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1557389Z [2022-11-23 01:54:59,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method index_put of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.1557966Z [2022-11-23 01:54:59,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method index_put of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.1558580Z [2022-11-23 01:54:59,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(<built-in method index_put of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.1558900Z [2022-11-23 01:54:59,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1559425Z [2022-11-23 01:54:59,097] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3467>
2022-11-23T02:04:39.1559767Z [2022-11-23 01:54:59,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1560106Z [2022-11-23 01:54:59,098] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1560466Z [2022-11-23 01:54:59,102] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1560810Z [2022-11-23 01:54:59,111] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1561085Z [2022-11-23 01:54:59,111] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1561286Z  __compiled_fn_196 <eval_with_key>.1640 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1561423Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1561532Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.1561663Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.1562034Z call_function, index_put, <built-in method index_put of type object at 0x7fa5855aec60>, (ex_0_, [ex_1_], ex_2_, True), {}
2022-11-23T02:04:39.1562286Z output, output, output, ((index_put,),), {}
2022-11-23T02:04:39.1562310Z 
2022-11-23T02:04:39.1562746Z [2022-11-23 01:54:59,112] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1562895Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1563035Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1563169Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1563288Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1563421Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1563556Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1563679Z              12 RETURN_VALUE
2022-11-23T02:04:39.1563699Z 
2022-11-23T02:04:39.1563798Z  
2022-11-23T02:04:39.1564236Z [2022-11-23 01:54:59,112] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1564405Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_196)
2022-11-23T02:04:39.1564544Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1564661Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1564847Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1565002Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1565139Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1565259Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.1565391Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1565524Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1565618Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.1565754Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.1565889Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.1566004Z              24 RETURN_VALUE
2022-11-23T02:04:39.1566024Z 
2022-11-23T02:04:39.1566122Z  
2022-11-23T02:04:39.1566392Z [2022-11-23 01:54:59,113] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1566511Z  - 
2022-11-23T02:04:39.1566660Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1566763Z             {
2022-11-23T02:04:39.1566970Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1567234Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.1567412Z                 'obj_weakref': None
2022-11-23T02:04:39.1567724Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1567831Z             }
2022-11-23T02:04:39.1567915Z             
2022-11-23T02:04:39.1568030Z  - 
2022-11-23T02:04:39.1568216Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1568314Z             {
2022-11-23T02:04:39.1568521Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1568681Z                 'code': None,
2022-11-23T02:04:39.1568973Z                 'obj_weakref': <weakref at 0x7fa53c358360; to 'Tensor' at 0x7fa531f4d490>
2022-11-23T02:04:39.1569302Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1569403Z             }
2022-11-23T02:04:39.1569512Z             
2022-11-23T02:04:39.1569623Z  - 
2022-11-23T02:04:39.1569806Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.1569907Z             {
2022-11-23T02:04:39.1570117Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1570253Z                 'code': None,
2022-11-23T02:04:39.1570547Z                 'obj_weakref': <weakref at 0x7fa61a925170; to 'Tensor' at 0x7fa531f4e390>
2022-11-23T02:04:39.1570895Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1570999Z             }
2022-11-23T02:04:39.1571102Z             
2022-11-23T02:04:39.1571218Z  - 
2022-11-23T02:04:39.1571401Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.1571558Z             {
2022-11-23T02:04:39.1571766Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1571939Z                 'code': None,
2022-11-23T02:04:39.1572265Z                 'obj_weakref': <weakref at 0x7fa5501b4e50; to 'Tensor' at 0x7fa5322e3420>
2022-11-23T02:04:39.1572586Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1572690Z             }
2022-11-23T02:04:39.1572795Z             
2022-11-23T02:04:39.1572921Z  - 
2022-11-23T02:04:39.1573072Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1573172Z             {
2022-11-23T02:04:39.1573364Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1573606Z                 'code': ['___check_obj_id(model, 140347484686080)'],
2022-11-23T02:04:39.1573786Z                 'obj_weakref': None
2022-11-23T02:04:39.1574100Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1574183Z             }
2022-11-23T02:04:39.1574287Z             
2022-11-23T02:04:39.1574396Z  - 
2022-11-23T02:04:39.1574575Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1574677Z             {
2022-11-23T02:04:39.1574945Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1575258Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1575407Z                 'obj_weakref': None
2022-11-23T02:04:39.1575716Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1575821Z             }
2022-11-23T02:04:39.1575927Z             
2022-11-23T02:04:39.1576637Z  - 
2022-11-23T02:04:39.1577027Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.1577196Z             {
2022-11-23T02:04:39.1577588Z                 'guard_types': None,
2022-11-23T02:04:39.1577848Z                 'code': None,
2022-11-23T02:04:39.1578139Z                 'obj_weakref': None
2022-11-23T02:04:39.1578323Z                 'guarded_class': None
2022-11-23T02:04:39.1578425Z             }
2022-11-23T02:04:39.1578526Z             
2022-11-23T02:04:39.1579067Z [2022-11-23 01:54:59,123] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 195
2022-11-23T02:04:39.1579600Z [2022-11-23 01:55:01,727] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c5/cc5kl2qkxnevdoy4qbntjcpcmcg2l6a5ralom4zewbzfcoidbc5f.py
2022-11-23T02:04:39.1579962Z [2022-11-23 01:55:01,727] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 195
2022-11-23T02:04:39.1579985Z 
2022-11-23T02:04:39.1580128Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.1580237Z import torch
2022-11-23T02:04:39.1580347Z import random
2022-11-23T02:04:39.1580517Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.1580695Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.1580719Z 
2022-11-23T02:04:39.1580838Z aten = torch.ops.aten
2022-11-23T02:04:39.1581009Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.1581149Z async_compile = AsyncCompile()
2022-11-23T02:04:39.1581168Z 
2022-11-23T02:04:39.1581187Z 
2022-11-23T02:04:39.1581381Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.1581662Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.1581837Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.1581992Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:39.1582147Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.1582294Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.1582369Z {
2022-11-23T02:04:39.1582519Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.1582618Z     {
2022-11-23T02:04:39.1582741Z         #pragma omp for 
2022-11-23T02:04:39.1583084Z         for(long i0=0; i0<156800; i0+=1)
2022-11-23T02:04:39.1583186Z         {
2022-11-23T02:04:39.1583420Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.1583536Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.1583651Z         }
2022-11-23T02:04:39.1583839Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.1583979Z         for(long i0=1254400; i0<1254400; i0+=1)
2022-11-23T02:04:39.1584082Z         {
2022-11-23T02:04:39.1584216Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.1584341Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.1584419Z         }
2022-11-23T02:04:39.1584538Z         #pragma omp for 
2022-11-23T02:04:39.1584665Z         for(long i0=0; i0<600; i0+=1)
2022-11-23T02:04:39.1584761Z         {
2022-11-23T02:04:39.1606289Z             #pragma GCC ivdep
2022-11-23T02:04:39.1606675Z             for(long i1=0; i1<12544; i1+=1)
2022-11-23T02:04:39.1606757Z             {
2022-11-23T02:04:39.1606891Z                 {
2022-11-23T02:04:39.1607003Z                     {
2022-11-23T02:04:39.1607164Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T02:04:39.1607318Z                         auto tmp1 = in_ptr2[i1 + (12544*i0)];
2022-11-23T02:04:39.1607773Z                         atomic_add(&out_ptr0[i1 + (12544*tmp0)], tmp1);
2022-11-23T02:04:39.1607892Z                     }
2022-11-23T02:04:39.1607971Z                 }
2022-11-23T02:04:39.1608074Z             }
2022-11-23T02:04:39.1608173Z         }
2022-11-23T02:04:39.1608274Z     }
2022-11-23T02:04:39.1608372Z }
2022-11-23T02:04:39.1608603Z ''')
2022-11-23T02:04:39.1608628Z 
2022-11-23T02:04:39.1608646Z 
2022-11-23T02:04:39.1608791Z async_compile.wait(globals())
2022-11-23T02:04:39.1608882Z del async_compile
2022-11-23T02:04:39.1608924Z 
2022-11-23T02:04:39.1609014Z def call(args):
2022-11-23T02:04:39.1609140Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.1609252Z     args.clear()
2022-11-23T02:04:39.1609601Z     buf0 = empty_strided((100, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1609876Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.1609987Z     del arg0_1
2022-11-23T02:04:39.1610104Z     del arg1_1
2022-11-23T02:04:39.1610187Z     del arg2_1
2022-11-23T02:04:39.1610309Z     return (buf0, )
2022-11-23T02:04:39.1610331Z 
2022-11-23T02:04:39.1610349Z 
2022-11-23T02:04:39.1610468Z if __name__ == "__main__":
2022-11-23T02:04:39.1610637Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1610818Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1611134Z     arg0_1 = rand_strided((100, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1611403Z     arg1_1 = rand_strided((600, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.1611715Z     arg2_1 = rand_strided((600, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1611880Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.1611899Z 
2022-11-23T02:04:39.1612011Z ok (2.746s)
2022-11-23T02:04:39.1612446Z   test_index_put3_cpu (__main__.CpuTests) ... [2022-11-23 01:55:01,754] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1612895Z [2022-11-23 01:55:01,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1613203Z [2022-11-23 01:55:01,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1613561Z [2022-11-23 01:55:01,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1613948Z [2022-11-23 01:55:01,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1614387Z [2022-11-23 01:55:01,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1614974Z [2022-11-23 01:55:01,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1615390Z [2022-11-23 01:55:01,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1615899Z [2022-11-23 01:55:01,755] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8b940, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3482> 
2022-11-23T02:04:39.1616690Z  3483           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.1616948Z                2 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.1617171Z                4 LOAD_ATTR                2 (aten)
2022-11-23T02:04:39.1617423Z                6 LOAD_METHOD              3 (index_put_)
2022-11-23T02:04:39.1617654Z                8 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1617868Z               10 LOAD_CONST               0 (None)
2022-11-23T02:04:39.1617985Z               12 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1618252Z               14 LOAD_CONST               0 (None)
2022-11-23T02:04:39.1618396Z               16 BUILD_TUPLE              3
2022-11-23T02:04:39.1618530Z               18 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1618661Z               20 CALL_METHOD              3
2022-11-23T02:04:39.1618780Z               22 POP_TOP
2022-11-23T02:04:39.1618800Z 
2022-11-23T02:04:39.1618938Z 3484          24 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1619073Z               26 LOAD_CONST               1 (1)
2022-11-23T02:04:39.1619165Z               28 BINARY_ADD
2022-11-23T02:04:39.1619306Z               30 STORE_FAST               3 (a1)
2022-11-23T02:04:39.1619326Z 
2022-11-23T02:04:39.1619462Z 3485          32 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.1619606Z               34 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.1619745Z               36 LOAD_ATTR                2 (aten)
2022-11-23T02:04:39.1619894Z               38 LOAD_METHOD              3 (index_put_)
2022-11-23T02:04:39.1620035Z               40 LOAD_FAST                3 (a1)
2022-11-23T02:04:39.1620147Z               42 LOAD_CONST               0 (None)
2022-11-23T02:04:39.1620278Z               44 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1620406Z               46 LOAD_CONST               1 (1)
2022-11-23T02:04:39.1620527Z               48 BINARY_ADD
2022-11-23T02:04:39.1620658Z               50 LOAD_CONST               0 (None)
2022-11-23T02:04:39.1620787Z               52 BUILD_TUPLE              3
2022-11-23T02:04:39.1620920Z               54 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1621032Z               56 LOAD_CONST               1 (1)
2022-11-23T02:04:39.1621145Z               58 BINARY_ADD
2022-11-23T02:04:39.1621281Z               60 CALL_METHOD              3
2022-11-23T02:04:39.1621392Z               62 POP_TOP
2022-11-23T02:04:39.1621412Z 
2022-11-23T02:04:39.1621544Z 3486          64 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1621679Z               66 LOAD_FAST                3 (a1)
2022-11-23T02:04:39.1621814Z               68 BUILD_TUPLE              2
2022-11-23T02:04:39.1621930Z               70 RETURN_VALUE
2022-11-23T02:04:39.1622004Z  
2022-11-23T02:04:39.1622024Z 
2022-11-23T02:04:39.1622488Z [2022-11-23 01:55:01,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3483
2022-11-23T02:04:39.1622796Z [2022-11-23 01:55:01,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.1623291Z [2022-11-23 01:55:01,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1623779Z [2022-11-23 01:55:01,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.1624206Z [2022-11-23 01:55:01,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.1624564Z [2022-11-23 01:55:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T02:04:39.1624963Z [2022-11-23 01:55:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T02:04:39.1625414Z [2022-11-23 01:55:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.1625903Z [2022-11-23 01:55:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T02:04:39.1626430Z [2022-11-23 01:55:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.1626913Z [2022-11-23 01:55:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.1627391Z [2022-11-23 01:55:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T02:04:39.1627722Z [2022-11-23 01:55:01,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T02:04:39.1628139Z [2022-11-23 01:55:01,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3484
2022-11-23T02:04:39.1628427Z [2022-11-23 01:55:01,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.1628760Z [2022-11-23 01:55:01,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:39.1629143Z [2022-11-23 01:55:01,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1629471Z [2022-11-23 01:55:01,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a1 [TensorVariable()]
2022-11-23T02:04:39.1629898Z [2022-11-23 01:55:01,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3485
2022-11-23T02:04:39.1630202Z [2022-11-23 01:55:01,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.1630667Z [2022-11-23 01:55:01,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1631066Z [2022-11-23 01:55:01,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.1631495Z [2022-11-23 01:55:01,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.1631858Z [2022-11-23 01:55:01,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a1 [TorchVariable(aten.index_put_)]
2022-11-23T02:04:39.1632254Z [2022-11-23 01:55:01,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T02:04:39.1632710Z [2022-11-23 01:55:01,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.1633194Z [2022-11-23 01:55:01,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T02:04:39.1633804Z [2022-11-23 01:55:01,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1634298Z [2022-11-23 01:55:01,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T02:04:39.1634881Z [2022-11-23 01:55:01,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.1635308Z [2022-11-23 01:55:01,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.1635767Z [2022-11-23 01:55:01,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T02:04:39.1636264Z [2022-11-23 01:55:01,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1636792Z [2022-11-23 01:55:01,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T02:04:39.1637137Z [2022-11-23 01:55:01,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T02:04:39.1637567Z [2022-11-23 01:55:01,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3486
2022-11-23T02:04:39.1637866Z [2022-11-23 01:55:01,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.1638196Z [2022-11-23 01:55:01,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a1 [TensorVariable()]
2022-11-23T02:04:39.1638567Z [2022-11-23 01:55:01,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1638907Z [2022-11-23 01:55:01,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1639417Z [2022-11-23 01:55:01,785] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8b940, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3482>
2022-11-23T02:04:39.1639761Z [2022-11-23 01:55:01,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1640062Z [2022-11-23 01:55:01,785] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1640411Z [2022-11-23 01:55:01,787] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1640817Z [2022-11-23 01:55:01,794] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T02:04:39.1641184Z [2022-11-23 01:55:01,794] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T02:04:39.1641531Z [2022-11-23 01:55:01,794] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1641803Z [2022-11-23 01:55:01,795] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1642000Z  __compiled_fn_197 <eval_with_key>.1643 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1642135Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1642269Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.1642374Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.1642581Z call_function, index_put_, aten.index_put_, (ex_0_, (None, ex_1_, None), ex_2_), {}
2022-11-23T02:04:39.1642832Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.1643078Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T02:04:39.1643434Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T02:04:39.1643643Z call_function, index_put__1, aten.index_put_, (add, (None, add_1, None), add_2), {}
2022-11-23T02:04:39.1643793Z output, output, output, ((add,),), {}
2022-11-23T02:04:39.1643818Z 
2022-11-23T02:04:39.1644262Z [2022-11-23 01:55:01,796] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1644384Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1644521Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1644653Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1644794Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1644926Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1645063Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1645184Z              12 RETURN_VALUE
2022-11-23T02:04:39.1645208Z 
2022-11-23T02:04:39.1645282Z  
2022-11-23T02:04:39.1645723Z [2022-11-23 01:55:01,796] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1645946Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_197)
2022-11-23T02:04:39.1646090Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1646226Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1646343Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1646481Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1646622Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1646716Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.1646850Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1646981Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1647102Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.1647242Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.1647401Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.1647533Z              24 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1647641Z              26 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1647768Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.1647925Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1648061Z              32 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1648180Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.1648311Z              36 BUILD_TUPLE              2
2022-11-23T02:04:39.1648429Z              38 RETURN_VALUE
2022-11-23T02:04:39.1648449Z 
2022-11-23T02:04:39.1648524Z  
2022-11-23T02:04:39.1648793Z [2022-11-23 01:55:01,797] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1648907Z  - 
2022-11-23T02:04:39.1649082Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1649190Z             {
2022-11-23T02:04:39.1649395Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1649658Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.1649808Z                 'obj_weakref': None
2022-11-23T02:04:39.1650123Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1650229Z             }
2022-11-23T02:04:39.1650330Z             
2022-11-23T02:04:39.1650440Z  - 
2022-11-23T02:04:39.1650625Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1650726Z             {
2022-11-23T02:04:39.1650906Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1651070Z                 'code': None,
2022-11-23T02:04:39.1651362Z                 'obj_weakref': <weakref at 0x7fa5322c69d0; to 'Tensor' at 0x7fa52467d850>
2022-11-23T02:04:39.1651710Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1651813Z             }
2022-11-23T02:04:39.1651982Z             
2022-11-23T02:04:39.1652097Z  - 
2022-11-23T02:04:39.1652254Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.1652359Z             {
2022-11-23T02:04:39.1652566Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1652731Z                 'code': None,
2022-11-23T02:04:39.1653021Z                 'obj_weakref': <weakref at 0x7fa550043380; to 'Tensor' at 0x7fa53228fdd0>
2022-11-23T02:04:39.1653358Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1653462Z             }
2022-11-23T02:04:39.1653538Z             
2022-11-23T02:04:39.1653646Z  - 
2022-11-23T02:04:39.1653825Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.1653927Z             {
2022-11-23T02:04:39.1654128Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1654291Z                 'code': None,
2022-11-23T02:04:39.1654583Z                 'obj_weakref': <weakref at 0x7fa5322d9c10; to 'Tensor' at 0x7fa61a927a10>
2022-11-23T02:04:39.1654907Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1655009Z             }
2022-11-23T02:04:39.1655109Z             
2022-11-23T02:04:39.1655283Z  - 
2022-11-23T02:04:39.1655479Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1655580Z             {
2022-11-23T02:04:39.1655843Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1656428Z                 'code': ['___check_obj_id(model, 140347488474384)'],
2022-11-23T02:04:39.1656768Z                 'obj_weakref': None
2022-11-23T02:04:39.1657307Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1657467Z             }
2022-11-23T02:04:39.1657622Z             
2022-11-23T02:04:39.1657805Z  - 
2022-11-23T02:04:39.1658083Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1658166Z             {
2022-11-23T02:04:39.1658373Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1658676Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1658847Z                 'obj_weakref': None
2022-11-23T02:04:39.1659158Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1659261Z             }
2022-11-23T02:04:39.1659361Z             
2022-11-23T02:04:39.1659450Z  - 
2022-11-23T02:04:39.1659639Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.1659737Z             {
2022-11-23T02:04:39.1659915Z                 'guard_types': None,
2022-11-23T02:04:39.1660076Z                 'code': None,
2022-11-23T02:04:39.1660245Z                 'obj_weakref': None
2022-11-23T02:04:39.1660416Z                 'guarded_class': None
2022-11-23T02:04:39.1660495Z             }
2022-11-23T02:04:39.1660595Z             
2022-11-23T02:04:39.1660700Z ok (0.055s)
2022-11-23T02:04:39.1661157Z   test_index_put_as_masked_fill_cpu (__main__.CpuTests) ... [2022-11-23 01:55:01,809] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1661595Z [2022-11-23 01:55:01,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1661895Z [2022-11-23 01:55:01,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1662242Z [2022-11-23 01:55:01,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1662629Z [2022-11-23 01:55:01,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1663037Z [2022-11-23 01:55:01,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1663504Z [2022-11-23 01:55:01,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1664134Z [2022-11-23 01:55:01,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1664642Z [2022-11-23 01:55:01,810] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498> 
2022-11-23T02:04:39.1664784Z  3499           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1664927Z                2 LOAD_METHOD              0 (clone)
2022-11-23T02:04:39.1665061Z                4 CALL_METHOD              0
2022-11-23T02:04:39.1665204Z                6 STORE_FAST               0 (a)
2022-11-23T02:04:39.1665226Z 
2022-11-23T02:04:39.1665367Z 3500           8 LOAD_GLOBAL              1 (torch)
2022-11-23T02:04:39.1665481Z               10 LOAD_ATTR                2 (ops)
2022-11-23T02:04:39.1665622Z               12 LOAD_ATTR                3 (aten)
2022-11-23T02:04:39.1665774Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T02:04:39.1665909Z               16 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1666127Z               18 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1666273Z               20 BUILD_LIST               1
2022-11-23T02:04:39.1666408Z               22 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1666539Z               24 LOAD_FAST                3 (d)
2022-11-23T02:04:39.1666647Z               26 CALL_METHOD              4
2022-11-23T02:04:39.1666761Z               28 POP_TOP
2022-11-23T02:04:39.1666782Z 
2022-11-23T02:04:39.1666914Z 3501          30 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1667032Z               32 RETURN_VALUE
2022-11-23T02:04:39.1667130Z  
2022-11-23T02:04:39.1667151Z 
2022-11-23T02:04:39.1667589Z [2022-11-23 01:55:01,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3499
2022-11-23T02:04:39.1667890Z [2022-11-23 01:55:01,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.1668236Z [2022-11-23 01:55:01,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T02:04:39.1668597Z [2022-11-23 01:55:01,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T02:04:39.1668924Z [2022-11-23 01:55:01,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T02:04:39.1669348Z [2022-11-23 01:55:01,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3500
2022-11-23T02:04:39.1669651Z [2022-11-23 01:55:01,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.1670146Z [2022-11-23 01:55:01,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1670549Z [2022-11-23 01:55:01,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.1670975Z [2022-11-23 01:55:01,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.1671336Z [2022-11-23 01:55:01,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T02:04:39.1671725Z [2022-11-23 01:55:01,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T02:04:39.1672153Z [2022-11-23 01:55:01,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1672550Z [2022-11-23 01:55:01,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.1673081Z [2022-11-23 01:55:01,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.1673602Z [2022-11-23 01:55:01,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.1673937Z [2022-11-23 01:55:01,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T02:04:39.1674367Z [2022-11-23 01:55:01,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3501
2022-11-23T02:04:39.1674654Z [2022-11-23 01:55:01,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.1674993Z [2022-11-23 01:55:01,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1675505Z [2022-11-23 01:55:01,825] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498>
2022-11-23T02:04:39.1675908Z [2022-11-23 01:55:01,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1676239Z [2022-11-23 01:55:01,825] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1676592Z [2022-11-23 01:55:01,827] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1676909Z [2022-11-23 01:55:01,832] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1677175Z [2022-11-23 01:55:01,833] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1677364Z  __compiled_fn_198 <eval_with_key>.1649 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1677504Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1677636Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.1677765Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.1677905Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T02:04:39.1678087Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, False), {}
2022-11-23T02:04:39.1678231Z output, output, output, ((clone,),), {}
2022-11-23T02:04:39.1678252Z 
2022-11-23T02:04:39.1678693Z [2022-11-23 01:55:01,834] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1678839Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1678975Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1679112Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1679252Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1679393Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1679503Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1679622Z              12 RETURN_VALUE
2022-11-23T02:04:39.1679642Z 
2022-11-23T02:04:39.1679741Z  
2022-11-23T02:04:39.1680183Z [2022-11-23 01:55:01,834] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1680346Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_198)
2022-11-23T02:04:39.1680490Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1680628Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1680748Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1680857Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1680992Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1681114Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.1681243Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1681446Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1681568Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.1681702Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.1681815Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.1681940Z              24 RETURN_VALUE
2022-11-23T02:04:39.1681960Z 
2022-11-23T02:04:39.1682053Z  
2022-11-23T02:04:39.1682322Z [2022-11-23 01:55:01,835] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1682436Z  - 
2022-11-23T02:04:39.1682610Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1682717Z             {
2022-11-23T02:04:39.1682900Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1683161Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 4'],
2022-11-23T02:04:39.1683338Z                 'obj_weakref': None
2022-11-23T02:04:39.1683654Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1683836Z             }
2022-11-23T02:04:39.1683939Z             
2022-11-23T02:04:39.1684052Z  - 
2022-11-23T02:04:39.1684211Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1684312Z             {
2022-11-23T02:04:39.1684515Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1684736Z                 'code': None,
2022-11-23T02:04:39.1685034Z                 'obj_weakref': <weakref at 0x7fa5501b5260; to 'Tensor' at 0x7fa5322faa70>
2022-11-23T02:04:39.1685386Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1685489Z             }
2022-11-23T02:04:39.1685564Z             
2022-11-23T02:04:39.1685675Z  - 
2022-11-23T02:04:39.1685857Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.1685958Z             {
2022-11-23T02:04:39.1686163Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1686318Z                 'code': None,
2022-11-23T02:04:39.1686610Z                 'obj_weakref': <weakref at 0x7fa5501b5940; to 'Tensor' at 0x7fa5500bde40>
2022-11-23T02:04:39.1686939Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1687042Z             }
2022-11-23T02:04:39.1687143Z             
2022-11-23T02:04:39.1687262Z  - 
2022-11-23T02:04:39.1687442Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.1687543Z             {
2022-11-23T02:04:39.1687745Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1687879Z                 'code': None,
2022-11-23T02:04:39.1688170Z                 'obj_weakref': <weakref at 0x7fa5501b49a0; to 'Tensor' at 0x7fa53228fdd0>
2022-11-23T02:04:39.1688514Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1688616Z             }
2022-11-23T02:04:39.1688716Z             
2022-11-23T02:04:39.1688828Z  - 
2022-11-23T02:04:39.1689020Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T02:04:39.1689103Z             {
2022-11-23T02:04:39.1689297Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1689528Z                 'code': ['___check_obj_id(ex[3], 93849050166976)'],
2022-11-23T02:04:39.1689707Z                 'obj_weakref': None
2022-11-23T02:04:39.1690018Z                 'guarded_class': <weakref at 0x7fa6421a27a0; to 'type' at 0x555aef4c3700 (bool)>
2022-11-23T02:04:39.1690120Z             }
2022-11-23T02:04:39.1690225Z             
2022-11-23T02:04:39.1690311Z  - 
2022-11-23T02:04:39.1690497Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1690601Z             {
2022-11-23T02:04:39.1690797Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1691035Z                 'code': ['___check_obj_id(model, 140347488474384)'],
2022-11-23T02:04:39.1691208Z                 'obj_weakref': None
2022-11-23T02:04:39.1691519Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1691682Z             }
2022-11-23T02:04:39.1691782Z             
2022-11-23T02:04:39.1691895Z  - 
2022-11-23T02:04:39.1692073Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1692178Z             {
2022-11-23T02:04:39.1692373Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1692673Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1692821Z                 'obj_weakref': None
2022-11-23T02:04:39.1693129Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1693235Z             }
2022-11-23T02:04:39.1693334Z             
2022-11-23T02:04:39.1693449Z  - 
2022-11-23T02:04:39.1693651Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.1693748Z             {
2022-11-23T02:04:39.1693902Z                 'guard_types': None,
2022-11-23T02:04:39.1694063Z                 'code': None,
2022-11-23T02:04:39.1694236Z                 'obj_weakref': None
2022-11-23T02:04:39.1694420Z                 'guarded_class': None
2022-11-23T02:04:39.1694522Z             }
2022-11-23T02:04:39.1694626Z             
2022-11-23T02:04:39.1694987Z [2022-11-23 01:55:01,846] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 196
2022-11-23T02:04:39.1695534Z [2022-11-23 01:55:04,455] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/il/cilm3tf7ljumzpkcmeqg62ykkspvvyinjrkivx6ymefuh4wsvaxl.py
2022-11-23T02:04:39.1695903Z [2022-11-23 01:55:04,455] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 196
2022-11-23T02:04:39.1696825Z [2022-11-23 01:55:04,462] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1697305Z [2022-11-23 01:55:04,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1697609Z [2022-11-23 01:55:04,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1697960Z [2022-11-23 01:55:04,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1698345Z [2022-11-23 01:55:04,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1698781Z [2022-11-23 01:55:04,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1699249Z [2022-11-23 01:55:04,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1699682Z [2022-11-23 01:55:04,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1700164Z [2022-11-23 01:55:04,463] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498> 
2022-11-23T02:04:39.1700312Z  3499           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1700456Z                2 LOAD_METHOD              0 (clone)
2022-11-23T02:04:39.1700595Z                4 CALL_METHOD              0
2022-11-23T02:04:39.1700732Z                6 STORE_FAST               0 (a)
2022-11-23T02:04:39.1700754Z 
2022-11-23T02:04:39.1700895Z 3500           8 LOAD_GLOBAL              1 (torch)
2022-11-23T02:04:39.1701032Z               10 LOAD_ATTR                2 (ops)
2022-11-23T02:04:39.1701169Z               12 LOAD_ATTR                3 (aten)
2022-11-23T02:04:39.1701296Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T02:04:39.1701435Z               16 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1701575Z               18 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1701706Z               20 BUILD_LIST               1
2022-11-23T02:04:39.1701842Z               22 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1702138Z               24 LOAD_FAST                3 (d)
2022-11-23T02:04:39.1702274Z               26 CALL_METHOD              4
2022-11-23T02:04:39.1702364Z               28 POP_TOP
2022-11-23T02:04:39.1702407Z 
2022-11-23T02:04:39.1702520Z 3501          30 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1702638Z               32 RETURN_VALUE
2022-11-23T02:04:39.1702735Z  
2022-11-23T02:04:39.1702754Z 
2022-11-23T02:04:39.1703190Z [2022-11-23 01:55:04,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3499
2022-11-23T02:04:39.1703482Z [2022-11-23 01:55:04,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.1703819Z [2022-11-23 01:55:04,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T02:04:39.1704211Z [2022-11-23 01:55:04,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T02:04:39.1704544Z [2022-11-23 01:55:04,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T02:04:39.1705017Z [2022-11-23 01:55:04,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3500
2022-11-23T02:04:39.1705332Z [2022-11-23 01:55:04,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.1705820Z [2022-11-23 01:55:04,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1706220Z [2022-11-23 01:55:04,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.1706653Z [2022-11-23 01:55:04,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.1707012Z [2022-11-23 01:55:04,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T02:04:39.1707407Z [2022-11-23 01:55:04,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T02:04:39.1707835Z [2022-11-23 01:55:04,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1708255Z [2022-11-23 01:55:04,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.1708720Z [2022-11-23 01:55:04,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.1709233Z [2022-11-23 01:55:04,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.1709547Z [2022-11-23 01:55:04,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T02:04:39.1709976Z [2022-11-23 01:55:04,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3501
2022-11-23T02:04:39.1710269Z [2022-11-23 01:55:04,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.1710609Z [2022-11-23 01:55:04,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1711119Z [2022-11-23 01:55:04,478] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498>
2022-11-23T02:04:39.1711466Z [2022-11-23 01:55:04,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1711949Z [2022-11-23 01:55:04,478] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1712342Z [2022-11-23 01:55:04,480] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1712692Z [2022-11-23 01:55:04,486] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1712961Z [2022-11-23 01:55:04,486] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1713133Z  __compiled_fn_199 <eval_with_key>.1655 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1713274Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1713412Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.1713541Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.1713682Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T02:04:39.1713882Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, True), {}
2022-11-23T02:04:39.1714031Z output, output, output, ((clone,),), {}
2022-11-23T02:04:39.1714057Z 
2022-11-23T02:04:39.1714479Z [2022-11-23 01:55:04,487] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1714676Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1714823Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1714953Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1715095Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1715225Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1715363Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1715488Z              12 RETURN_VALUE
2022-11-23T02:04:39.1715509Z 
2022-11-23T02:04:39.1715584Z  
2022-11-23T02:04:39.1716024Z [2022-11-23 01:55:04,487] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1716191Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_199)
2022-11-23T02:04:39.1716327Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1716465Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1716591Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1716728Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1716838Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1716964Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.1717095Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1717233Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1717349Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.1717482Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.1717618Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.1717712Z              24 RETURN_VALUE
2022-11-23T02:04:39.1717754Z 
2022-11-23T02:04:39.1717827Z  
2022-11-23T02:04:39.1718089Z [2022-11-23 01:55:04,488] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1718207Z  - 
2022-11-23T02:04:39.1718384Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1718887Z             {
2022-11-23T02:04:39.1719112Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1719381Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 4'],
2022-11-23T02:04:39.1719531Z                 'obj_weakref': None
2022-11-23T02:04:39.1719843Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1719944Z             }
2022-11-23T02:04:39.1720044Z             
2022-11-23T02:04:39.1720155Z  - 
2022-11-23T02:04:39.1720339Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1720417Z             {
2022-11-23T02:04:39.1720624Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1720781Z                 'code': None,
2022-11-23T02:04:39.1721073Z                 'obj_weakref': <weakref at 0x7fa5320f70b0; to 'Tensor' at 0x7fa5322faa70>
2022-11-23T02:04:39.1721492Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1721596Z             }
2022-11-23T02:04:39.1721694Z             
2022-11-23T02:04:39.1721807Z  - 
2022-11-23T02:04:39.1721967Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.1722068Z             {
2022-11-23T02:04:39.1722272Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1722427Z                 'code': None,
2022-11-23T02:04:39.1722719Z                 'obj_weakref': <weakref at 0x7fa5320f5ee0; to 'Tensor' at 0x7fa53228fdd0>
2022-11-23T02:04:39.1723070Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1723170Z             }
2022-11-23T02:04:39.1723246Z             
2022-11-23T02:04:39.1723355Z  - 
2022-11-23T02:04:39.1723535Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.1723641Z             {
2022-11-23T02:04:39.1723848Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1724001Z                 'code': None,
2022-11-23T02:04:39.1724288Z                 'obj_weakref': <weakref at 0x7fa53c35b470; to 'Tensor' at 0x7fa5500bde40>
2022-11-23T02:04:39.1724664Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1724770Z             }
2022-11-23T02:04:39.1724869Z             
2022-11-23T02:04:39.1724982Z  - 
2022-11-23T02:04:39.1725174Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T02:04:39.1725275Z             {
2022-11-23T02:04:39.1725471Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1725683Z                 'code': ['___check_obj_id(ex[3], 93849050167008)'],
2022-11-23T02:04:39.1725853Z                 'obj_weakref': None
2022-11-23T02:04:39.1726159Z                 'guarded_class': <weakref at 0x7fa6421a27a0; to 'type' at 0x555aef4c3700 (bool)>
2022-11-23T02:04:39.1726264Z             }
2022-11-23T02:04:39.1726366Z             
2022-11-23T02:04:39.1726481Z  - 
2022-11-23T02:04:39.1726668Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1726746Z             {
2022-11-23T02:04:39.1726941Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1727182Z                 'code': ['___check_obj_id(model, 140347488474384)'],
2022-11-23T02:04:39.1727361Z                 'obj_weakref': None
2022-11-23T02:04:39.1727676Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1727778Z             }
2022-11-23T02:04:39.1727882Z             
2022-11-23T02:04:39.1727969Z  - 
2022-11-23T02:04:39.1728143Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1728248Z             {
2022-11-23T02:04:39.1728440Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1728737Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1728913Z                 'obj_weakref': None
2022-11-23T02:04:39.1729217Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1729293Z             }
2022-11-23T02:04:39.1729394Z             
2022-11-23T02:04:39.1729507Z  - 
2022-11-23T02:04:39.1729695Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.1729798Z             {
2022-11-23T02:04:39.1729974Z                 'guard_types': None,
2022-11-23T02:04:39.1730106Z                 'code': None,
2022-11-23T02:04:39.1730281Z                 'obj_weakref': None
2022-11-23T02:04:39.1730453Z                 'guarded_class': None
2022-11-23T02:04:39.1730552Z             }
2022-11-23T02:04:39.1730655Z             
2022-11-23T02:04:39.1731012Z [2022-11-23 01:55:04,499] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 197
2022-11-23T02:04:39.1731510Z [2022-11-23 01:55:07,128] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hx/chxsmmbfjyk5wfgq2sqx5jpdvf4my5rldvjg5m6gkpovaqpkwvow.py
2022-11-23T02:04:39.1731979Z [2022-11-23 01:55:07,128] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 197
2022-11-23T02:04:39.1732000Z 
2022-11-23T02:04:39.1732118Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.1732239Z import torch
2022-11-23T02:04:39.1732349Z import random
2022-11-23T02:04:39.1732522Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.1732696Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.1732716Z 
2022-11-23T02:04:39.1732836Z aten = torch.ops.aten
2022-11-23T02:04:39.1733026Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.1733166Z async_compile = AsyncCompile()
2022-11-23T02:04:39.1733185Z 
2022-11-23T02:04:39.1733203Z 
2022-11-23T02:04:39.1733384Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.1733665Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.1733840Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T02:04:39.1734001Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.1734225Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.1734429Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.1734533Z {
2022-11-23T02:04:39.1734659Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.1734761Z     {
2022-11-23T02:04:39.1734883Z         #pragma omp for 
2022-11-23T02:04:39.1735013Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T02:04:39.1735115Z         {
2022-11-23T02:04:39.1735266Z             float g_tmp_buffer_in_ptr0[8] = {0};
2022-11-23T02:04:39.1735447Z             flag_to_float(in_ptr0 + 8*i0, g_tmp_buffer_in_ptr0, 8);
2022-11-23T02:04:39.1735675Z             auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T02:04:39.1735852Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T02:04:39.1736572Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T02:04:39.1736911Z             auto tmp3 = decltype(tmp1)::blendv(tmp2, tmp1, tmp0);
2022-11-23T02:04:39.1737133Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.1737301Z         }
2022-11-23T02:04:39.1737545Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.1737757Z         for(long i0=8192; i0<8192; i0+=1)
2022-11-23T02:04:39.1737871Z         {
2022-11-23T02:04:39.1738004Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.1738133Z             auto tmp1 = in_ptr1[0];
2022-11-23T02:04:39.1738260Z             auto tmp2 = in_ptr2[i0];
2022-11-23T02:04:39.1738401Z             auto tmp3 = tmp0 ? tmp1 : tmp2;
2022-11-23T02:04:39.1738524Z             out_ptr0[i0] = tmp3;
2022-11-23T02:04:39.1738625Z         }
2022-11-23T02:04:39.1738701Z     }
2022-11-23T02:04:39.1738797Z }
2022-11-23T02:04:39.1738950Z ''')
2022-11-23T02:04:39.1738974Z 
2022-11-23T02:04:39.1738993Z 
2022-11-23T02:04:39.1739136Z async_compile.wait(globals())
2022-11-23T02:04:39.1739250Z del async_compile
2022-11-23T02:04:39.1739269Z 
2022-11-23T02:04:39.1739385Z def call(args):
2022-11-23T02:04:39.1739514Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.1739601Z     args.clear()
2022-11-23T02:04:39.1739901Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1740171Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.1740279Z     del arg0_1
2022-11-23T02:04:39.1740383Z     del arg1_1
2022-11-23T02:04:39.1740487Z     del arg2_1
2022-11-23T02:04:39.1740605Z     return (buf0, )
2022-11-23T02:04:39.1740624Z 
2022-11-23T02:04:39.1740643Z 
2022-11-23T02:04:39.1740764Z if __name__ == "__main__":
2022-11-23T02:04:39.1740909Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1741087Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1741547Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1741830Z     arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.1742093Z     arg2_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1742269Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.1742289Z 
2022-11-23T02:04:39.1742307Z 
2022-11-23T02:04:39.1742448Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.1742562Z import torch
2022-11-23T02:04:39.1742648Z import random
2022-11-23T02:04:39.1742817Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.1742989Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.1743008Z 
2022-11-23T02:04:39.1743127Z aten = torch.ops.aten
2022-11-23T02:04:39.1743315Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.1743449Z async_compile = AsyncCompile()
2022-11-23T02:04:39.1743472Z 
2022-11-23T02:04:39.1743490Z 
2022-11-23T02:04:39.1743685Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.1743970Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.1744195Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T02:04:39.1744362Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.1744515Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.1744662Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.1744765Z {
2022-11-23T02:04:39.1744912Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.1745010Z     {
2022-11-23T02:04:39.1745105Z         #pragma omp for 
2022-11-23T02:04:39.1745233Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T02:04:39.1745338Z         {
2022-11-23T02:04:39.1745492Z             float g_tmp_buffer_in_ptr0[8] = {0};
2022-11-23T02:04:39.1745673Z             flag_to_float(in_ptr0 + 8*i0, g_tmp_buffer_in_ptr0, 8);
2022-11-23T02:04:39.1745898Z             auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T02:04:39.1746088Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.1746263Z             auto tmp2 = at::vec::Vectorized<float>(in_ptr2[0]);
2022-11-23T02:04:39.1746373Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:39.1746549Z             auto tmp4 = decltype(tmp3)::blendv(tmp1, tmp3, tmp0);
2022-11-23T02:04:39.1746687Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.1746789Z         }
2022-11-23T02:04:39.1746942Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.1747071Z         for(long i0=8192; i0<8192; i0+=1)
2022-11-23T02:04:39.1747171Z         {
2022-11-23T02:04:39.1747275Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.1747401Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:39.1747529Z             auto tmp2 = in_ptr2[0];
2022-11-23T02:04:39.1747655Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:39.1747800Z             auto tmp4 = tmp0 ? tmp3 : tmp1;
2022-11-23T02:04:39.1747923Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:39.1748000Z         }
2022-11-23T02:04:39.1748098Z     }
2022-11-23T02:04:39.1748198Z }
2022-11-23T02:04:39.1748331Z ''')
2022-11-23T02:04:39.1748355Z 
2022-11-23T02:04:39.1748374Z 
2022-11-23T02:04:39.1748515Z async_compile.wait(globals())
2022-11-23T02:04:39.1748629Z del async_compile
2022-11-23T02:04:39.1748649Z 
2022-11-23T02:04:39.1748758Z def call(args):
2022-11-23T02:04:39.1748883Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.1748970Z     args.clear()
2022-11-23T02:04:39.1749272Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1749539Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.1749647Z     del arg0_1
2022-11-23T02:04:39.1749751Z     del arg1_1
2022-11-23T02:04:39.1749923Z     del arg2_1
2022-11-23T02:04:39.1750040Z     return (buf0, )
2022-11-23T02:04:39.1750059Z 
2022-11-23T02:04:39.1750079Z 
2022-11-23T02:04:39.1750172Z if __name__ == "__main__":
2022-11-23T02:04:39.1750347Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1750528Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1750818Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1751097Z     arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.1751354Z     arg2_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1751536Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.1751556Z 
2022-11-23T02:04:39.1751662Z ok (5.328s)
2022-11-23T02:04:39.1752083Z   test_index_put_fallback1_cpu (__main__.CpuTests) ... [2022-11-23 01:55:07,137] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1752520Z [2022-11-23 01:55:07,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1752823Z [2022-11-23 01:55:07,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1753218Z [2022-11-23 01:55:07,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1753600Z [2022-11-23 01:55:07,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1754033Z [2022-11-23 01:55:07,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1754499Z [2022-11-23 01:55:07,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1754932Z [2022-11-23 01:55:07,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1755451Z [2022-11-23 01:55:07,138] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524> 
2022-11-23T02:04:39.1755596Z  3525           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1755716Z                2 LOAD_METHOD              0 (clone)
2022-11-23T02:04:39.1755852Z                4 CALL_METHOD              0
2022-11-23T02:04:39.1755989Z                6 STORE_FAST               0 (a)
2022-11-23T02:04:39.1756009Z 
2022-11-23T02:04:39.1756151Z 3526           8 LOAD_GLOBAL              1 (torch)
2022-11-23T02:04:39.1756285Z               10 LOAD_ATTR                2 (ops)
2022-11-23T02:04:39.1756424Z               12 LOAD_ATTR                3 (aten)
2022-11-23T02:04:39.1756575Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T02:04:39.1756713Z               16 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1756824Z               18 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1756957Z               20 BUILD_LIST               1
2022-11-23T02:04:39.1757092Z               22 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1757230Z               24 LOAD_FAST                3 (d)
2022-11-23T02:04:39.1757362Z               26 CALL_METHOD              4
2022-11-23T02:04:39.1757473Z               28 POP_TOP
2022-11-23T02:04:39.1757493Z 
2022-11-23T02:04:39.1757631Z 3527          30 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1757726Z               32 RETURN_VALUE
2022-11-23T02:04:39.1757828Z  
2022-11-23T02:04:39.1757847Z 
2022-11-23T02:04:39.1758282Z [2022-11-23 01:55:07,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3525
2022-11-23T02:04:39.1758576Z [2022-11-23 01:55:07,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.1758996Z [2022-11-23 01:55:07,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T02:04:39.1759384Z [2022-11-23 01:55:07,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T02:04:39.1759711Z [2022-11-23 01:55:07,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T02:04:39.1760138Z [2022-11-23 01:55:07,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3526
2022-11-23T02:04:39.1760441Z [2022-11-23 01:55:07,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.1760931Z [2022-11-23 01:55:07,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1761308Z [2022-11-23 01:55:07,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.1761739Z [2022-11-23 01:55:07,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.1762158Z [2022-11-23 01:55:07,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T02:04:39.1762552Z [2022-11-23 01:55:07,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T02:04:39.1762988Z [2022-11-23 01:55:07,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1763406Z [2022-11-23 01:55:07,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.1763860Z [2022-11-23 01:55:07,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.1764384Z [2022-11-23 01:55:07,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.1764725Z [2022-11-23 01:55:07,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T02:04:39.1765152Z [2022-11-23 01:55:07,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3527
2022-11-23T02:04:39.1765446Z [2022-11-23 01:55:07,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.1765768Z [2022-11-23 01:55:07,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1766281Z [2022-11-23 01:55:07,153] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524>
2022-11-23T02:04:39.1766626Z [2022-11-23 01:55:07,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1766956Z [2022-11-23 01:55:07,153] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1767302Z [2022-11-23 01:55:07,155] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1767647Z [2022-11-23 01:55:07,160] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1767923Z [2022-11-23 01:55:07,161] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1768114Z  __compiled_fn_200 <eval_with_key>.1661 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1768250Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1768358Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.1768570Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.1768717Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T02:04:39.1768924Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, False), {}
2022-11-23T02:04:39.1769069Z output, output, output, ((clone,),), {}
2022-11-23T02:04:39.1769093Z 
2022-11-23T02:04:39.1769554Z [2022-11-23 01:55:07,162] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1769704Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1769817Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1769955Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1770090Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1770219Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1770356Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1770476Z              12 RETURN_VALUE
2022-11-23T02:04:39.1770499Z 
2022-11-23T02:04:39.1770596Z  
2022-11-23T02:04:39.1771039Z [2022-11-23 01:55:07,162] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1771243Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_200)
2022-11-23T02:04:39.1771388Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1771530Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1771650Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1771786Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1771920Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1772040Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.1772150Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1772287Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1772404Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.1772537Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.1772679Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.1772799Z              24 RETURN_VALUE
2022-11-23T02:04:39.1772819Z 
2022-11-23T02:04:39.1772917Z  
2022-11-23T02:04:39.1773162Z [2022-11-23 01:55:07,163] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1773275Z  - 
2022-11-23T02:04:39.1773447Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1773552Z             {
2022-11-23T02:04:39.1773757Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1774019Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 4'],
2022-11-23T02:04:39.1774197Z                 'obj_weakref': None
2022-11-23T02:04:39.1774515Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1774595Z             }
2022-11-23T02:04:39.1774690Z             
2022-11-23T02:04:39.1774804Z  - 
2022-11-23T02:04:39.1774985Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1775097Z             {
2022-11-23T02:04:39.1775302Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1775435Z                 'code': None,
2022-11-23T02:04:39.1775723Z                 'obj_weakref': <weakref at 0x7fa53c3583b0; to 'Tensor' at 0x7fa5322b9030>
2022-11-23T02:04:39.1776490Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1776666Z             }
2022-11-23T02:04:39.1776822Z             
2022-11-23T02:04:39.1777024Z  - 
2022-11-23T02:04:39.1777333Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.1777456Z             {
2022-11-23T02:04:39.1777806Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1778061Z                 'code': None,
2022-11-23T02:04:39.1778360Z                 'obj_weakref': <weakref at 0x7fa5504ea2f0; to 'Tensor' at 0x7fa52467d850>
2022-11-23T02:04:39.1778707Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1779002Z             }
2022-11-23T02:04:39.1779102Z             
2022-11-23T02:04:39.1779215Z  - 
2022-11-23T02:04:39.1779374Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.1779474Z             {
2022-11-23T02:04:39.1779679Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1779839Z                 'code': None,
2022-11-23T02:04:39.1780125Z                 'obj_weakref': <weakref at 0x7fa53c357600; to 'Tensor' at 0x7fa5500bde40>
2022-11-23T02:04:39.1780469Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1780570Z             }
2022-11-23T02:04:39.1780647Z             
2022-11-23T02:04:39.1780759Z  - 
2022-11-23T02:04:39.1780949Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T02:04:39.1781051Z             {
2022-11-23T02:04:39.1781248Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1781484Z                 'code': ['___check_obj_id(ex[3], 93849050166976)'],
2022-11-23T02:04:39.1781661Z                 'obj_weakref': None
2022-11-23T02:04:39.1781944Z                 'guarded_class': <weakref at 0x7fa6421a27a0; to 'type' at 0x555aef4c3700 (bool)>
2022-11-23T02:04:39.1782052Z             }
2022-11-23T02:04:39.1782231Z             
2022-11-23T02:04:39.1782353Z  - 
2022-11-23T02:04:39.1782548Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1782651Z             {
2022-11-23T02:04:39.1782818Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1783057Z                 'code': ['___check_obj_id(model, 140347488474384)'],
2022-11-23T02:04:39.1783230Z                 'obj_weakref': None
2022-11-23T02:04:39.1783546Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1783645Z             }
2022-11-23T02:04:39.1783745Z             
2022-11-23T02:04:39.1783904Z  - 
2022-11-23T02:04:39.1784057Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1784166Z             {
2022-11-23T02:04:39.1784361Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1784663Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1784841Z                 'obj_weakref': None
2022-11-23T02:04:39.1785149Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1785249Z             }
2022-11-23T02:04:39.1785324Z             
2022-11-23T02:04:39.1785436Z  - 
2022-11-23T02:04:39.1785623Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.1785729Z             {
2022-11-23T02:04:39.1785907Z                 'guard_types': None,
2022-11-23T02:04:39.1786067Z                 'code': None,
2022-11-23T02:04:39.1786241Z                 'obj_weakref': None
2022-11-23T02:04:39.1786393Z                 'guarded_class': None
2022-11-23T02:04:39.1786498Z             }
2022-11-23T02:04:39.1786602Z             
2022-11-23T02:04:39.1786963Z [2022-11-23 01:55:07,176] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 198
2022-11-23T02:04:39.1787472Z [2022-11-23 01:55:09,719] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pj/cpjlmlm3xpt3sqnzhwajyrns5npln4kctkqmbidlrvchyu56l6io.py
2022-11-23T02:04:39.1787835Z [2022-11-23 01:55:09,720] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 198
2022-11-23T02:04:39.1788164Z [2022-11-23 01:55:09,726] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1788594Z [2022-11-23 01:55:09,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1788897Z [2022-11-23 01:55:09,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1789218Z [2022-11-23 01:55:09,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1789664Z [2022-11-23 01:55:09,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1790099Z [2022-11-23 01:55:09,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1790563Z [2022-11-23 01:55:09,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1790998Z [2022-11-23 01:55:09,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1791503Z [2022-11-23 01:55:09,727] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524> 
2022-11-23T02:04:39.1791645Z  3525           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1791797Z                2 LOAD_METHOD              0 (clone)
2022-11-23T02:04:39.1791934Z                4 CALL_METHOD              0
2022-11-23T02:04:39.1792047Z                6 STORE_FAST               0 (a)
2022-11-23T02:04:39.1792068Z 
2022-11-23T02:04:39.1792281Z 3526           8 LOAD_GLOBAL              1 (torch)
2022-11-23T02:04:39.1792426Z               10 LOAD_ATTR                2 (ops)
2022-11-23T02:04:39.1792568Z               12 LOAD_ATTR                3 (aten)
2022-11-23T02:04:39.1792720Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T02:04:39.1792858Z               16 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1792993Z               18 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1793122Z               20 BUILD_LIST               1
2022-11-23T02:04:39.1793233Z               22 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1793362Z               24 LOAD_FAST                3 (d)
2022-11-23T02:04:39.1793489Z               26 CALL_METHOD              4
2022-11-23T02:04:39.1793608Z               28 POP_TOP
2022-11-23T02:04:39.1793627Z 
2022-11-23T02:04:39.1793757Z 3527          30 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1793879Z               32 RETURN_VALUE
2022-11-23T02:04:39.1793978Z  
2022-11-23T02:04:39.1793997Z 
2022-11-23T02:04:39.1794424Z [2022-11-23 01:55:09,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3525
2022-11-23T02:04:39.1794718Z [2022-11-23 01:55:09,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.1795079Z [2022-11-23 01:55:09,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T02:04:39.1795462Z [2022-11-23 01:55:09,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T02:04:39.1795789Z [2022-11-23 01:55:09,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T02:04:39.1796223Z [2022-11-23 01:55:09,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3526
2022-11-23T02:04:39.1796528Z [2022-11-23 01:55:09,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.1797029Z [2022-11-23 01:55:09,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1797429Z [2022-11-23 01:55:09,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.1797852Z [2022-11-23 01:55:09,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.1798182Z [2022-11-23 01:55:09,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T02:04:39.1798643Z [2022-11-23 01:55:09,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T02:04:39.1799075Z [2022-11-23 01:55:09,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1799505Z [2022-11-23 01:55:09,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.1799961Z [2022-11-23 01:55:09,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.1800478Z [2022-11-23 01:55:09,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.1800806Z [2022-11-23 01:55:09,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T02:04:39.1801240Z [2022-11-23 01:55:09,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3527
2022-11-23T02:04:39.1801599Z [2022-11-23 01:55:09,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.1801945Z [2022-11-23 01:55:09,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1802462Z [2022-11-23 01:55:09,742] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524>
2022-11-23T02:04:39.1802775Z [2022-11-23 01:55:09,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1803098Z [2022-11-23 01:55:09,742] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1803447Z [2022-11-23 01:55:09,744] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1803794Z [2022-11-23 01:55:09,750] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1804065Z [2022-11-23 01:55:09,750] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1804259Z  __compiled_fn_201 <eval_with_key>.1667 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1804393Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1804524Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.1804629Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.1804770Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T02:04:39.1804967Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, True), {}
2022-11-23T02:04:39.1805111Z output, output, output, ((clone,),), {}
2022-11-23T02:04:39.1805131Z 
2022-11-23T02:04:39.1805575Z [2022-11-23 01:55:09,751] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1805723Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1805859Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1805994Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1806115Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1806245Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1806377Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1806491Z              12 RETURN_VALUE
2022-11-23T02:04:39.1806511Z 
2022-11-23T02:04:39.1806612Z  
2022-11-23T02:04:39.1807049Z [2022-11-23 01:55:09,751] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1807217Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_201)
2022-11-23T02:04:39.1807354Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1807565Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1807685Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1807817Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1807960Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1808087Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.1808220Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1808351Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1808444Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.1808577Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.1808713Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.1808829Z              24 RETURN_VALUE
2022-11-23T02:04:39.1808850Z 
2022-11-23T02:04:39.1808947Z  
2022-11-23T02:04:39.1809214Z [2022-11-23 01:55:09,753] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1809327Z  - 
2022-11-23T02:04:39.1809476Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1809578Z             {
2022-11-23T02:04:39.1809787Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1810050Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 4'],
2022-11-23T02:04:39.1810228Z                 'obj_weakref': None
2022-11-23T02:04:39.1810590Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1810699Z             }
2022-11-23T02:04:39.1810777Z             
2022-11-23T02:04:39.1810890Z  - 
2022-11-23T02:04:39.1811073Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1811173Z             {
2022-11-23T02:04:39.1811374Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1811527Z                 'code': None,
2022-11-23T02:04:39.1811826Z                 'obj_weakref': <weakref at 0x7fa5501978d0; to 'Tensor' at 0x7fa5322b9030>
2022-11-23T02:04:39.1812148Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1812253Z             }
2022-11-23T02:04:39.1812353Z             
2022-11-23T02:04:39.1812462Z  - 
2022-11-23T02:04:39.1812799Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.1812871Z             {
2022-11-23T02:04:39.1813078Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1813248Z                 'code': None,
2022-11-23T02:04:39.1813507Z                 'obj_weakref': <weakref at 0x7fa5500be200; to 'Tensor' at 0x7fa550054d10>
2022-11-23T02:04:39.1813850Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1813957Z             }
2022-11-23T02:04:39.1814056Z             
2022-11-23T02:04:39.1814177Z  - 
2022-11-23T02:04:39.1814359Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.1814437Z             {
2022-11-23T02:04:39.1814645Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1814808Z                 'code': None,
2022-11-23T02:04:39.1815096Z                 'obj_weakref': <weakref at 0x7fa5322da700; to 'Tensor' at 0x7fa5500578d0>
2022-11-23T02:04:39.1815444Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1815541Z             }
2022-11-23T02:04:39.1815649Z             
2022-11-23T02:04:39.1815738Z  - 
2022-11-23T02:04:39.1815926Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T02:04:39.1816424Z             {
2022-11-23T02:04:39.1816813Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1817200Z                 'code': ['___check_obj_id(ex[3], 93849050167008)'],
2022-11-23T02:04:39.1817486Z                 'obj_weakref': None
2022-11-23T02:04:39.1817989Z                 'guarded_class': <weakref at 0x7fa6421a27a0; to 'type' at 0x555aef4c3700 (bool)>
2022-11-23T02:04:39.1818072Z             }
2022-11-23T02:04:39.1818175Z             
2022-11-23T02:04:39.1818293Z  - 
2022-11-23T02:04:39.1818481Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1818753Z             {
2022-11-23T02:04:39.1818952Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1819187Z                 'code': ['___check_obj_id(model, 140347488474384)'],
2022-11-23T02:04:39.1819334Z                 'obj_weakref': None
2022-11-23T02:04:39.1819652Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1819754Z             }
2022-11-23T02:04:39.1819863Z             
2022-11-23T02:04:39.1819972Z  - 
2022-11-23T02:04:39.1820150Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1820250Z             {
2022-11-23T02:04:39.1820423Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1820718Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1820890Z                 'obj_weakref': None
2022-11-23T02:04:39.1821190Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1821298Z             }
2022-11-23T02:04:39.1821397Z             
2022-11-23T02:04:39.1821506Z  - 
2022-11-23T02:04:39.1821673Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.1821778Z             {
2022-11-23T02:04:39.1821951Z                 'guard_types': None,
2022-11-23T02:04:39.1822192Z                 'code': None,
2022-11-23T02:04:39.1822372Z                 'obj_weakref': None
2022-11-23T02:04:39.1822545Z                 'guarded_class': None
2022-11-23T02:04:39.1822648Z             }
2022-11-23T02:04:39.1822725Z             
2022-11-23T02:04:39.1823080Z [2022-11-23 01:55:09,763] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 199
2022-11-23T02:04:39.1823571Z [2022-11-23 01:55:09,774] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ha/chaa7sbv67ccoxbg5jmfujdd7ebo2blwagj3ldwunpbxi7xyikm6.py
2022-11-23T02:04:39.1823931Z [2022-11-23 01:55:09,775] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 199
2022-11-23T02:04:39.1823958Z 
2022-11-23T02:04:39.1824100Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.1824211Z import torch
2022-11-23T02:04:39.1824320Z import random
2022-11-23T02:04:39.1824491Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.1824651Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.1824671Z 
2022-11-23T02:04:39.1824793Z aten = torch.ops.aten
2022-11-23T02:04:39.1824991Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.1825130Z async_compile = AsyncCompile()
2022-11-23T02:04:39.1825150Z 
2022-11-23T02:04:39.1825169Z 
2022-11-23T02:04:39.1825367Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.1825654Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.1825827Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.1825974Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.1826053Z {
2022-11-23T02:04:39.1826175Z     #pragma GCC ivdep
2022-11-23T02:04:39.1826297Z     for(long i0=0; i0<3; i0+=1)
2022-11-23T02:04:39.1826396Z     {
2022-11-23T02:04:39.1826500Z         {
2022-11-23T02:04:39.1826601Z             {
2022-11-23T02:04:39.1826714Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.1826839Z                 out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.1826935Z             }
2022-11-23T02:04:39.1827035Z         }
2022-11-23T02:04:39.1827133Z     }
2022-11-23T02:04:39.1827228Z }
2022-11-23T02:04:39.1827357Z ''')
2022-11-23T02:04:39.1827377Z 
2022-11-23T02:04:39.1827395Z 
2022-11-23T02:04:39.1827509Z async_compile.wait(globals())
2022-11-23T02:04:39.1827625Z del async_compile
2022-11-23T02:04:39.1827644Z 
2022-11-23T02:04:39.1827756Z def call(args):
2022-11-23T02:04:39.1827884Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.1827996Z     args.clear()
2022-11-23T02:04:39.1828268Z     buf0 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1828542Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.1828651Z     del arg0_1
2022-11-23T02:04:39.1828782Z     aten.index_put_(buf0, [arg1_1], arg2_1, False)
2022-11-23T02:04:39.1828885Z     del arg1_1
2022-11-23T02:04:39.1828997Z     del arg2_1
2022-11-23T02:04:39.1829110Z     return (buf0, )
2022-11-23T02:04:39.1829129Z 
2022-11-23T02:04:39.1829147Z 
2022-11-23T02:04:39.1829265Z if __name__ == "__main__":
2022-11-23T02:04:39.1829429Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1829607Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1829863Z     arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1830125Z     arg1_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.1830396Z     arg2_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1830579Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.1830603Z 
2022-11-23T02:04:39.1830621Z 
2022-11-23T02:04:39.1830762Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.1830877Z import torch
2022-11-23T02:04:39.1830988Z import random
2022-11-23T02:04:39.1831162Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.1831369Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.1831390Z 
2022-11-23T02:04:39.1831517Z aten = torch.ops.aten
2022-11-23T02:04:39.1831707Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.1831845Z async_compile = AsyncCompile()
2022-11-23T02:04:39.1831864Z 
2022-11-23T02:04:39.1831882Z 
2022-11-23T02:04:39.1832076Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.1832355Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.1832524Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.1832668Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.1832746Z {
2022-11-23T02:04:39.1832861Z     #pragma GCC ivdep
2022-11-23T02:04:39.1832979Z     for(long i0=0; i0<3; i0+=1)
2022-11-23T02:04:39.1833071Z     {
2022-11-23T02:04:39.1833169Z         {
2022-11-23T02:04:39.1833263Z             {
2022-11-23T02:04:39.1833397Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.1833500Z                 out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.1833597Z             }
2022-11-23T02:04:39.1833690Z         }
2022-11-23T02:04:39.1833782Z     }
2022-11-23T02:04:39.1833873Z }
2022-11-23T02:04:39.1833993Z ''')
2022-11-23T02:04:39.1834012Z 
2022-11-23T02:04:39.1834031Z 
2022-11-23T02:04:39.1834162Z async_compile.wait(globals())
2022-11-23T02:04:39.1834255Z del async_compile
2022-11-23T02:04:39.1834274Z 
2022-11-23T02:04:39.1834380Z def call(args):
2022-11-23T02:04:39.1834502Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.1834610Z     args.clear()
2022-11-23T02:04:39.1834875Z     buf0 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1835071Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.1835176Z     del arg0_1
2022-11-23T02:04:39.1835307Z     aten.index_put_(buf0, [arg1_1], arg2_1, True)
2022-11-23T02:04:39.1835416Z     del arg1_1
2022-11-23T02:04:39.1835522Z     del arg2_1
2022-11-23T02:04:39.1835631Z     return (buf0, )
2022-11-23T02:04:39.1835651Z 
2022-11-23T02:04:39.1835669Z 
2022-11-23T02:04:39.1835780Z if __name__ == "__main__":
2022-11-23T02:04:39.1835941Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1836114Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1836363Z     arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1836617Z     arg1_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.1836871Z     arg2_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1837047Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.1837134Z 
2022-11-23T02:04:39.1837243Z ok (2.646s)
2022-11-23T02:04:39.1837681Z   test_index_put_fallback2_cpu (__main__.CpuTests) ... [2022-11-23 01:55:09,784] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1838111Z [2022-11-23 01:55:09,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1838411Z [2022-11-23 01:55:09,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1838754Z [2022-11-23 01:55:09,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1839111Z [2022-11-23 01:55:09,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1839541Z [2022-11-23 01:55:09,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1840007Z [2022-11-23 01:55:09,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1840486Z [2022-11-23 01:55:09,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1841007Z [2022-11-23 01:55:09,785] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550> 
2022-11-23T02:04:39.1841142Z  3551           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1841280Z                2 LOAD_METHOD              0 (clone)
2022-11-23T02:04:39.1841413Z                4 CALL_METHOD              0
2022-11-23T02:04:39.1841547Z                6 STORE_FAST               0 (a)
2022-11-23T02:04:39.1841569Z 
2022-11-23T02:04:39.1841687Z 3552           8 LOAD_GLOBAL              1 (torch)
2022-11-23T02:04:39.1841825Z               10 LOAD_ATTR                2 (ops)
2022-11-23T02:04:39.1842004Z               12 LOAD_ATTR                3 (aten)
2022-11-23T02:04:39.1842126Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T02:04:39.1842280Z               16 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1842412Z               18 LOAD_CONST               0 (None)
2022-11-23T02:04:39.1842511Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1842667Z               22 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1842759Z               24 BUILD_LIST               3
2022-11-23T02:04:39.1842911Z               26 LOAD_FAST                3 (d)
2022-11-23T02:04:39.1843056Z               28 LOAD_FAST                4 (e)
2022-11-23T02:04:39.1843177Z               30 CALL_METHOD              4
2022-11-23T02:04:39.1843288Z               32 POP_TOP
2022-11-23T02:04:39.1843288Z 
2022-11-23T02:04:39.1843402Z 3553          34 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1843523Z               36 RETURN_VALUE
2022-11-23T02:04:39.1843598Z  
2022-11-23T02:04:39.1843618Z 
2022-11-23T02:04:39.1844064Z [2022-11-23 01:55:09,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3551
2022-11-23T02:04:39.1844353Z [2022-11-23 01:55:09,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.1844687Z [2022-11-23 01:55:09,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T02:04:39.1845067Z [2022-11-23 01:55:09,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T02:04:39.1845390Z [2022-11-23 01:55:09,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T02:04:39.1845817Z [2022-11-23 01:55:09,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3552
2022-11-23T02:04:39.1846232Z [2022-11-23 01:55:09,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.1846727Z [2022-11-23 01:55:09,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1847126Z [2022-11-23 01:55:09,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.1847532Z [2022-11-23 01:55:09,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.1847891Z [2022-11-23 01:55:09,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T02:04:39.1848291Z [2022-11-23 01:55:09,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T02:04:39.1848749Z [2022-11-23 01:55:09,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.1849300Z [2022-11-23 01:55:09,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T02:04:39.1849839Z [2022-11-23 01:55:09,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1850269Z [2022-11-23 01:55:09,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.1850734Z [2022-11-23 01:55:09,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.1851255Z [2022-11-23 01:55:09,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.1851599Z [2022-11-23 01:55:09,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T02:04:39.1852029Z [2022-11-23 01:55:09,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3553
2022-11-23T02:04:39.1852301Z [2022-11-23 01:55:09,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.1852647Z [2022-11-23 01:55:09,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1853171Z [2022-11-23 01:55:09,800] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550>
2022-11-23T02:04:39.1853514Z [2022-11-23 01:55:09,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1853835Z [2022-11-23 01:55:09,800] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1854184Z [2022-11-23 01:55:09,802] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1854526Z [2022-11-23 01:55:09,808] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1854794Z [2022-11-23 01:55:09,808] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1854991Z  __compiled_fn_202 <eval_with_key>.1673 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1855106Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1855233Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.1855362Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.1855486Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T02:04:39.1855693Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T02:04:39.1855908Z call_function, index_put_, aten.index_put_, (clone, [None, ex_1_, ex_2_], ex_3_, False), {}
2022-11-23T02:04:39.1856482Z output, output, output, ((clone,),), {}
2022-11-23T02:04:39.1856514Z 
2022-11-23T02:04:39.1857351Z [2022-11-23 01:55:09,809] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1857676Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1857902Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1858089Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1858238Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1858367Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1858502Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1858625Z              12 RETURN_VALUE
2022-11-23T02:04:39.1858646Z 
2022-11-23T02:04:39.1858745Z  
2022-11-23T02:04:39.1859175Z [2022-11-23 01:55:09,809] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1859339Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_202)
2022-11-23T02:04:39.1859679Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1859831Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1859951Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1860084Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1860215Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1860309Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.1860439Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1860571Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1860691Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.1860824Z              20 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1860961Z              22 LOAD_CONST               4 (3)
2022-11-23T02:04:39.1861077Z              24 BINARY_SUBSCR
2022-11-23T02:04:39.1861186Z              26 CALL_FUNCTION            4
2022-11-23T02:04:39.1861324Z              28 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.1861438Z              30 RETURN_VALUE
2022-11-23T02:04:39.1861457Z 
2022-11-23T02:04:39.1861552Z  
2022-11-23T02:04:39.1861822Z [2022-11-23 01:55:09,811] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1861937Z  - 
2022-11-23T02:04:39.1862110Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1862189Z             {
2022-11-23T02:04:39.1862391Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1862652Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 5'],
2022-11-23T02:04:39.1862828Z                 'obj_weakref': None
2022-11-23T02:04:39.1863138Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1863245Z             }
2022-11-23T02:04:39.1863343Z             
2022-11-23T02:04:39.1863431Z  - 
2022-11-23T02:04:39.1863615Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1863718Z             {
2022-11-23T02:04:39.1863923Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1864085Z                 'code': None,
2022-11-23T02:04:39.1864374Z                 'obj_weakref': <weakref at 0x7fa55a006660; to 'Tensor' at 0x7fa5500fa340>
2022-11-23T02:04:39.1864721Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1864823Z             }
2022-11-23T02:04:39.1864900Z             
2022-11-23T02:04:39.1865014Z  - 
2022-11-23T02:04:39.1865195Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.1865297Z             {
2022-11-23T02:04:39.1865502Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1865662Z                 'code': None,
2022-11-23T02:04:39.1865926Z                 'obj_weakref': <weakref at 0x7fa5504e9170; to 'Tensor' at 0x7fa611e5bdd0>
2022-11-23T02:04:39.1866389Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1866490Z             }
2022-11-23T02:04:39.1866599Z             
2022-11-23T02:04:39.1866711Z  - 
2022-11-23T02:04:39.1866891Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.1866992Z             {
2022-11-23T02:04:39.1867168Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1867327Z                 'code': None,
2022-11-23T02:04:39.1867614Z                 'obj_weakref': <weakref at 0x7fa5320f70b0; to 'Tensor' at 0x7fa611e5bf60>
2022-11-23T02:04:39.1867959Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1868059Z             }
2022-11-23T02:04:39.1868156Z             
2022-11-23T02:04:39.1868265Z  - 
2022-11-23T02:04:39.1868420Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T02:04:39.1868526Z             {
2022-11-23T02:04:39.1868730Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1868888Z                 'code': None,
2022-11-23T02:04:39.1869184Z                 'obj_weakref': <weakref at 0x7fa531fa6750; to 'Tensor' at 0x7fa61a925f80>
2022-11-23T02:04:39.1869578Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1869689Z             }
2022-11-23T02:04:39.1869790Z             
2022-11-23T02:04:39.1869878Z  - 
2022-11-23T02:04:39.1870068Z             local 'ex[4]' CONSTANT_MATCH
2022-11-23T02:04:39.1870173Z             {
2022-11-23T02:04:39.1870371Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1870605Z                 'code': ['___check_obj_id(ex[4], 93849050166976)'],
2022-11-23T02:04:39.1870780Z                 'obj_weakref': None
2022-11-23T02:04:39.1871088Z                 'guarded_class': <weakref at 0x7fa6421a27a0; to 'type' at 0x555aef4c3700 (bool)>
2022-11-23T02:04:39.1871171Z             }
2022-11-23T02:04:39.1871270Z             
2022-11-23T02:04:39.1871380Z  - 
2022-11-23T02:04:39.1871570Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1871673Z             {
2022-11-23T02:04:39.1871868Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1872082Z                 'code': ['___check_obj_id(model, 140347488474384)'],
2022-11-23T02:04:39.1872259Z                 'obj_weakref': None
2022-11-23T02:04:39.1872575Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1872674Z             }
2022-11-23T02:04:39.1872774Z             
2022-11-23T02:04:39.1872886Z  - 
2022-11-23T02:04:39.1873065Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1873143Z             {
2022-11-23T02:04:39.1873343Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1873639Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1873813Z                 'obj_weakref': None
2022-11-23T02:04:39.1874119Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1874215Z             }
2022-11-23T02:04:39.1874312Z             
2022-11-23T02:04:39.1874404Z  - 
2022-11-23T02:04:39.1874596Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.1874697Z             {
2022-11-23T02:04:39.1874871Z                 'guard_types': None,
2022-11-23T02:04:39.1875021Z                 'code': None,
2022-11-23T02:04:39.1875184Z                 'obj_weakref': None
2022-11-23T02:04:39.1875355Z                 'guarded_class': None
2022-11-23T02:04:39.1875434Z             }
2022-11-23T02:04:39.1875534Z             
2022-11-23T02:04:39.1875887Z [2022-11-23 01:55:09,822] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 200
2022-11-23T02:04:39.1876387Z [2022-11-23 01:55:12,372] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eg/ceghigx3mrjy7kzsqqgbr3rzvhgbz4aitxcldayq4fm5ufr3a5cr.py
2022-11-23T02:04:39.1876805Z [2022-11-23 01:55:12,372] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 200
2022-11-23T02:04:39.1877127Z [2022-11-23 01:55:12,379] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1877551Z [2022-11-23 01:55:12,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1877847Z [2022-11-23 01:55:12,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1878186Z [2022-11-23 01:55:12,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1878538Z [2022-11-23 01:55:12,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1878971Z [2022-11-23 01:55:12,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1879487Z [2022-11-23 01:55:12,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1879926Z [2022-11-23 01:55:12,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1880432Z [2022-11-23 01:55:12,380] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550> 
2022-11-23T02:04:39.1880567Z  3551           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1880706Z                2 LOAD_METHOD              0 (clone)
2022-11-23T02:04:39.1880836Z                4 CALL_METHOD              0
2022-11-23T02:04:39.1880970Z                6 STORE_FAST               0 (a)
2022-11-23T02:04:39.1880995Z 
2022-11-23T02:04:39.1881116Z 3552           8 LOAD_GLOBAL              1 (torch)
2022-11-23T02:04:39.1881252Z               10 LOAD_ATTR                2 (ops)
2022-11-23T02:04:39.1881386Z               12 LOAD_ATTR                3 (aten)
2022-11-23T02:04:39.1881536Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T02:04:39.1881670Z               16 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1881802Z               18 LOAD_CONST               0 (None)
2022-11-23T02:04:39.1881928Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1882058Z               22 LOAD_FAST                2 (c)
2022-11-23T02:04:39.1882168Z               24 BUILD_LIST               3
2022-11-23T02:04:39.1882296Z               26 LOAD_FAST                3 (d)
2022-11-23T02:04:39.1882422Z               28 LOAD_FAST                4 (e)
2022-11-23T02:04:39.1882545Z               30 CALL_METHOD              4
2022-11-23T02:04:39.1882652Z               32 POP_TOP
2022-11-23T02:04:39.1882676Z 
2022-11-23T02:04:39.1882804Z 3553          34 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1882916Z               36 RETURN_VALUE
2022-11-23T02:04:39.1882990Z  
2022-11-23T02:04:39.1883009Z 
2022-11-23T02:04:39.1883448Z [2022-11-23 01:55:12,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3551
2022-11-23T02:04:39.1883738Z [2022-11-23 01:55:12,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.1884144Z [2022-11-23 01:55:12,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T02:04:39.1884524Z [2022-11-23 01:55:12,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T02:04:39.1884843Z [2022-11-23 01:55:12,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T02:04:39.1885264Z [2022-11-23 01:55:12,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3552
2022-11-23T02:04:39.1885648Z [2022-11-23 01:55:12,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.1886142Z [2022-11-23 01:55:12,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1886540Z [2022-11-23 01:55:12,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.1886943Z [2022-11-23 01:55:12,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.1887297Z [2022-11-23 01:55:12,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T02:04:39.1887689Z [2022-11-23 01:55:12,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T02:04:39.1888143Z [2022-11-23 01:55:12,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.1888678Z [2022-11-23 01:55:12,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T02:04:39.1889214Z [2022-11-23 01:55:12,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1889634Z [2022-11-23 01:55:12,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.1890102Z [2022-11-23 01:55:12,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.1890617Z [2022-11-23 01:55:12,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.1890954Z [2022-11-23 01:55:12,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T02:04:39.1891378Z [2022-11-23 01:55:12,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3553
2022-11-23T02:04:39.1891645Z [2022-11-23 01:55:12,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.1891985Z [2022-11-23 01:55:12,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1892498Z [2022-11-23 01:55:12,396] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550>
2022-11-23T02:04:39.1892839Z [2022-11-23 01:55:12,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.1893162Z [2022-11-23 01:55:12,396] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1893507Z [2022-11-23 01:55:12,397] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1893852Z [2022-11-23 01:55:12,403] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1894109Z [2022-11-23 01:55:12,404] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1894301Z  __compiled_fn_203 <eval_with_key>.1679 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1894414Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1894543Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.1894669Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.1894867Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T02:04:39.1895004Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T02:04:39.1895212Z call_function, index_put_, aten.index_put_, (clone, [None, ex_1_, ex_2_], ex_3_, True), {}
2022-11-23T02:04:39.1895357Z output, output, output, ((clone,),), {}
2022-11-23T02:04:39.1895377Z 
2022-11-23T02:04:39.1895815Z [2022-11-23 01:55:12,405] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1895937Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1896566Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1896793Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1897008Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1897219Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1897428Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1897614Z              12 RETURN_VALUE
2022-11-23T02:04:39.1897653Z 
2022-11-23T02:04:39.1897777Z  
2022-11-23T02:04:39.1898395Z [2022-11-23 01:55:12,405] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1898698Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_203)
2022-11-23T02:04:39.1898841Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1898975Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1899090Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1899220Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1899355Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1899450Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.1899579Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1899713Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1899821Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.1899947Z              20 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1900079Z              22 LOAD_CONST               4 (3)
2022-11-23T02:04:39.1900192Z              24 BINARY_SUBSCR
2022-11-23T02:04:39.1900300Z              26 CALL_FUNCTION            4
2022-11-23T02:04:39.1900435Z              28 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.1900548Z              30 RETURN_VALUE
2022-11-23T02:04:39.1900568Z 
2022-11-23T02:04:39.1900662Z  
2022-11-23T02:04:39.1900923Z [2022-11-23 01:55:12,406] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1901030Z  - 
2022-11-23T02:04:39.1901199Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1901278Z             {
2022-11-23T02:04:39.1901480Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1901741Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 5'],
2022-11-23T02:04:39.1901911Z                 'obj_weakref': None
2022-11-23T02:04:39.1902216Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1902319Z             }
2022-11-23T02:04:39.1902417Z             
2022-11-23T02:04:39.1902503Z  - 
2022-11-23T02:04:39.1902682Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1902779Z             {
2022-11-23T02:04:39.1902981Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1903136Z                 'code': None,
2022-11-23T02:04:39.1903424Z                 'obj_weakref': <weakref at 0x7fa550097330; to 'Tensor' at 0x7fa550054d10>
2022-11-23T02:04:39.1903769Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1903848Z             }
2022-11-23T02:04:39.1903948Z             
2022-11-23T02:04:39.1904050Z  - 
2022-11-23T02:04:39.1904229Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.1904327Z             {
2022-11-23T02:04:39.1904523Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1904677Z                 'code': None,
2022-11-23T02:04:39.1905053Z                 'obj_weakref': <weakref at 0x7fa55a006570; to 'Tensor' at 0x7fa5504eb0b0>
2022-11-23T02:04:39.1905394Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1905499Z             }
2022-11-23T02:04:39.1905651Z             
2022-11-23T02:04:39.1905760Z  - 
2022-11-23T02:04:39.1905937Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.1906034Z             {
2022-11-23T02:04:39.1906213Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1906367Z                 'code': None,
2022-11-23T02:04:39.1906653Z                 'obj_weakref': <weakref at 0x7fa5320f5ee0; to 'Tensor' at 0x7fa5504eb740>
2022-11-23T02:04:39.1906990Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1907090Z             }
2022-11-23T02:04:39.1907190Z             
2022-11-23T02:04:39.1907295Z  - 
2022-11-23T02:04:39.1907487Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T02:04:39.1907587Z             {
2022-11-23T02:04:39.1907783Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1907935Z                 'code': None,
2022-11-23T02:04:39.1908292Z                 'obj_weakref': <weakref at 0x7fa53c3549f0; to 'Tensor' at 0x7fa611e5bdd0>
2022-11-23T02:04:39.1908638Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1908736Z             }
2022-11-23T02:04:39.1908813Z             
2022-11-23T02:04:39.1908918Z  - 
2022-11-23T02:04:39.1909098Z             local 'ex[4]' CONSTANT_MATCH
2022-11-23T02:04:39.1909193Z             {
2022-11-23T02:04:39.1909382Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1909612Z                 'code': ['___check_obj_id(ex[4], 93849050167008)'],
2022-11-23T02:04:39.1909781Z                 'obj_weakref': None
2022-11-23T02:04:39.1910060Z                 'guarded_class': <weakref at 0x7fa6421a27a0; to 'type' at 0x555aef4c3700 (bool)>
2022-11-23T02:04:39.1910162Z             }
2022-11-23T02:04:39.1910258Z             
2022-11-23T02:04:39.1910365Z  - 
2022-11-23T02:04:39.1910546Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1910642Z             {
2022-11-23T02:04:39.1910832Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1911045Z                 'code': ['___check_obj_id(model, 140347488474384)'],
2022-11-23T02:04:39.1911212Z                 'obj_weakref': None
2022-11-23T02:04:39.1911519Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1911617Z             }
2022-11-23T02:04:39.1911713Z             
2022-11-23T02:04:39.1911818Z  - 
2022-11-23T02:04:39.1911988Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1912065Z             {
2022-11-23T02:04:39.1912256Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1912548Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1912723Z                 'obj_weakref': None
2022-11-23T02:04:39.1913024Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1913122Z             }
2022-11-23T02:04:39.1913218Z             
2022-11-23T02:04:39.1913304Z  - 
2022-11-23T02:04:39.1913489Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.1913587Z             {
2022-11-23T02:04:39.1913760Z                 'guard_types': None,
2022-11-23T02:04:39.1913912Z                 'code': None,
2022-11-23T02:04:39.1914080Z                 'obj_weakref': None
2022-11-23T02:04:39.1914255Z                 'guarded_class': None
2022-11-23T02:04:39.1914332Z             }
2022-11-23T02:04:39.1914430Z             
2022-11-23T02:04:39.1914777Z [2022-11-23 01:55:12,418] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 201
2022-11-23T02:04:39.1915277Z [2022-11-23 01:55:12,430] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sk/csk6vr7gsfengpokzwrfxgldw4rjb6vncpbnkrcchd6lzoppf4y5.py
2022-11-23T02:04:39.1915743Z [2022-11-23 01:55:12,431] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 201
2022-11-23T02:04:39.1915770Z 
2022-11-23T02:04:39.1915908Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.1916014Z import torch
2022-11-23T02:04:39.1916122Z import random
2022-11-23T02:04:39.1916266Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.1916439Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.1916459Z 
2022-11-23T02:04:39.1916576Z aten = torch.ops.aten
2022-11-23T02:04:39.1916763Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.1916896Z async_compile = AsyncCompile()
2022-11-23T02:04:39.1916915Z 
2022-11-23T02:04:39.1916934Z 
2022-11-23T02:04:39.1917130Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.1917415Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.1917585Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.1917713Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.1917808Z {
2022-11-23T02:04:39.1918010Z     #pragma GCC ivdep
2022-11-23T02:04:39.1918142Z     for(long i0=0; i0<6; i0+=1)
2022-11-23T02:04:39.1918238Z     {
2022-11-23T02:04:39.1918334Z         {
2022-11-23T02:04:39.1918430Z             {
2022-11-23T02:04:39.1918541Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.1918665Z                 out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.1918758Z             }
2022-11-23T02:04:39.1918854Z         }
2022-11-23T02:04:39.1918946Z     }
2022-11-23T02:04:39.1919038Z }
2022-11-23T02:04:39.1919142Z ''')
2022-11-23T02:04:39.1919161Z 
2022-11-23T02:04:39.1919196Z 
2022-11-23T02:04:39.1919309Z async_compile.wait(globals())
2022-11-23T02:04:39.1919417Z del async_compile
2022-11-23T02:04:39.1919440Z 
2022-11-23T02:04:39.1919547Z def call(args):
2022-11-23T02:04:39.1919680Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T02:04:39.1919786Z     args.clear()
2022-11-23T02:04:39.1920066Z     buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1920257Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.1920342Z     del arg0_1
2022-11-23T02:04:39.1920512Z     aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, False)
2022-11-23T02:04:39.1920614Z     del arg1_1
2022-11-23T02:04:39.1920715Z     del arg2_1
2022-11-23T02:04:39.1920815Z     del arg3_1
2022-11-23T02:04:39.1920921Z     return (buf0, )
2022-11-23T02:04:39.1920940Z 
2022-11-23T02:04:39.1920958Z 
2022-11-23T02:04:39.1921075Z if __name__ == "__main__":
2022-11-23T02:04:39.1921217Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1921390Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1921672Z     arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1921940Z     arg1_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.1922195Z     arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.1922456Z     arg3_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1922640Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T02:04:39.1922660Z 
2022-11-23T02:04:39.1922679Z 
2022-11-23T02:04:39.1922812Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.1922899Z import torch
2022-11-23T02:04:39.1923007Z import random
2022-11-23T02:04:39.1923172Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.1923343Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.1923363Z 
2022-11-23T02:04:39.1923478Z aten = torch.ops.aten
2022-11-23T02:04:39.1923665Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.1923872Z async_compile = AsyncCompile()
2022-11-23T02:04:39.1923893Z 
2022-11-23T02:04:39.1923911Z 
2022-11-23T02:04:39.1924115Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.1924377Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.1924551Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.1924697Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.1924793Z {
2022-11-23T02:04:39.1924909Z     #pragma GCC ivdep
2022-11-23T02:04:39.1925026Z     for(long i0=0; i0<6; i0+=1)
2022-11-23T02:04:39.1925118Z     {
2022-11-23T02:04:39.1925195Z         {
2022-11-23T02:04:39.1925294Z             {
2022-11-23T02:04:39.1925424Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.1925546Z                 out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.1925642Z             }
2022-11-23T02:04:39.1925740Z         }
2022-11-23T02:04:39.1925834Z     }
2022-11-23T02:04:39.1925908Z }
2022-11-23T02:04:39.1926034Z ''')
2022-11-23T02:04:39.1926054Z 
2022-11-23T02:04:39.1926072Z 
2022-11-23T02:04:39.1926202Z async_compile.wait(globals())
2022-11-23T02:04:39.1926311Z del async_compile
2022-11-23T02:04:39.1926330Z 
2022-11-23T02:04:39.1926436Z def call(args):
2022-11-23T02:04:39.1926627Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T02:04:39.1926742Z     args.clear()
2022-11-23T02:04:39.1927009Z     buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1927198Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.1927306Z     del arg0_1
2022-11-23T02:04:39.1927478Z     aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, True)
2022-11-23T02:04:39.1927585Z     del arg1_1
2022-11-23T02:04:39.1927689Z     del arg2_1
2022-11-23T02:04:39.1927791Z     del arg3_1
2022-11-23T02:04:39.1927878Z     return (buf0, )
2022-11-23T02:04:39.1927897Z 
2022-11-23T02:04:39.1927935Z 
2022-11-23T02:04:39.1928030Z if __name__ == "__main__":
2022-11-23T02:04:39.1928193Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.1928366Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.1928650Z     arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1928913Z     arg1_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.1929168Z     arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.1929418Z     arg3_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.1929583Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T02:04:39.1929604Z 
2022-11-23T02:04:39.1929706Z ok (2.656s)
2022-11-23T02:04:39.1930135Z   test_index_select_cpu (__main__.CpuTests) ... [2022-11-23 01:55:12,438] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1930564Z [2022-11-23 01:55:12,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1930869Z [2022-11-23 01:55:12,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1931227Z [2022-11-23 01:55:12,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1931603Z [2022-11-23 01:55:12,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1932035Z [2022-11-23 01:55:12,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1932499Z [2022-11-23 01:55:12,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1932936Z [2022-11-23 01:55:12,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1933487Z [2022-11-23 01:55:12,439] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9f9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848> 
2022-11-23T02:04:39.1933638Z  2850           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.1933786Z                2 LOAD_METHOD              1 (index_select)
2022-11-23T02:04:39.1933918Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1934048Z                6 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1934177Z                8 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1934307Z               10 CALL_METHOD              3
2022-11-23T02:04:39.1934327Z 
2022-11-23T02:04:39.1934462Z 2851          12 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.1934590Z               14 LOAD_METHOD              1 (index_select)
2022-11-23T02:04:39.1934719Z               16 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1934850Z               18 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1934976Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1935104Z               22 CALL_METHOD              3
2022-11-23T02:04:39.1935125Z 
2022-11-23T02:04:39.1935313Z 2852          24 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.1935465Z               26 LOAD_METHOD              1 (index_select)
2022-11-23T02:04:39.1935600Z               28 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.1935726Z               30 LOAD_METHOD              1 (index_select)
2022-11-23T02:04:39.1935853Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1935982Z               34 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1936779Z               36 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1936999Z               38 CALL_METHOD              3
2022-11-23T02:04:39.1937203Z               40 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1937404Z               42 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1937593Z               44 CALL_METHOD              3
2022-11-23T02:04:39.1937623Z 
2022-11-23T02:04:39.1937839Z 2849          46 BUILD_TUPLE              3
2022-11-23T02:04:39.1938102Z               48 RETURN_VALUE
2022-11-23T02:04:39.1938202Z  
2022-11-23T02:04:39.1938228Z 
2022-11-23T02:04:39.1938695Z [2022-11-23 01:55:12,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2850
2022-11-23T02:04:39.1938996Z [2022-11-23 01:55:12,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.1939497Z [2022-11-23 01:55:12,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1939947Z [2022-11-23 01:55:12,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.1940435Z [2022-11-23 01:55:12,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.1940969Z [2022-11-23 01:55:12,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1941525Z [2022-11-23 01:55:12,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.1941950Z [2022-11-23 01:55:12,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2851
2022-11-23T02:04:39.1942283Z [2022-11-23 01:55:12,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.1942990Z [2022-11-23 01:55:12,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1943472Z [2022-11-23 01:55:12,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.1944026Z [2022-11-23 01:55:12,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.1944631Z [2022-11-23 01:55:12,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1945233Z [2022-11-23 01:55:12,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.1945745Z [2022-11-23 01:55:12,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2852
2022-11-23T02:04:39.1946113Z [2022-11-23 01:55:12,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1946687Z [2022-11-23 01:55:12,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1947216Z [2022-11-23 01:55:12,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.1947955Z [2022-11-23 01:55:12,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1948627Z [2022-11-23 01:55:12,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.1949339Z [2022-11-23 01:55:12,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.1950102Z [2022-11-23 01:55:12,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1950905Z [2022-11-23 01:55:12,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.1951462Z [2022-11-23 01:55:12,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.1952067Z [2022-11-23 01:55:12,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1952768Z [2022-11-23 01:55:12,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.1953197Z [2022-11-23 01:55:12,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2849
2022-11-23T02:04:39.1953597Z [2022-11-23 01:55:12,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1953933Z [2022-11-23 01:55:12,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1954442Z [2022-11-23 01:55:12,451] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9f9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848>
2022-11-23T02:04:39.1954782Z [2022-11-23 01:55:12,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1955171Z [2022-11-23 01:55:12,451] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1955523Z [2022-11-23 01:55:12,453] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1955859Z [2022-11-23 01:55:12,459] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1956119Z [2022-11-23 01:55:12,460] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1956290Z  __compiled_fn_204 <eval_with_key>.1685 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1956420Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.1956546Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.1956914Z call_function, index_select, <built-in method index_select of type object at 0x7fa5855aec60>, (ex_0_, 0, ex_1_), {}
2022-11-23T02:04:39.1957270Z call_function, index_select_1, <built-in method index_select of type object at 0x7fa5855aec60>, (ex_0_, 1, ex_1_), {}
2022-11-23T02:04:39.1957617Z call_function, index_select_2, <built-in method index_select of type object at 0x7fa5855aec60>, (ex_0_, 2, ex_1_), {}
2022-11-23T02:04:39.1957986Z call_function, index_select_3, <built-in method index_select of type object at 0x7fa5855aec60>, (index_select_2, 1, ex_1_), {}
2022-11-23T02:04:39.1958189Z output, output, output, ((index_select, index_select_1, index_select_3),), {}
2022-11-23T02:04:39.1958209Z 
2022-11-23T02:04:39.1958645Z [2022-11-23 01:55:12,460] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1958764Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.1958901Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1959028Z               4 BUILD_MAP                0
2022-11-23T02:04:39.1959162Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.1959287Z               8 DICT_MERGE               1
2022-11-23T02:04:39.1959423Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.1959536Z              12 RETURN_VALUE
2022-11-23T02:04:39.1959556Z 
2022-11-23T02:04:39.1959650Z  
2022-11-23T02:04:39.1960065Z [2022-11-23 01:55:12,460] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.1960227Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_204)
2022-11-23T02:04:39.1960361Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1960494Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1960606Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.1960736Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.1960940Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1961035Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.1961162Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.1961317Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.1961463Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1961594Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1961707Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.1961852Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1961962Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1962076Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.1962219Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.1962348Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1962458Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.1962590Z              36 BUILD_TUPLE              3
2022-11-23T02:04:39.1962701Z              38 RETURN_VALUE
2022-11-23T02:04:39.1962721Z 
2022-11-23T02:04:39.1962812Z  
2022-11-23T02:04:39.1963051Z [2022-11-23 01:55:12,462] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.1963156Z  - 
2022-11-23T02:04:39.1963379Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.1963482Z             {
2022-11-23T02:04:39.1963680Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.1963943Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.1964113Z                 'obj_weakref': None
2022-11-23T02:04:39.1964402Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.1964500Z             }
2022-11-23T02:04:39.1964596Z             
2022-11-23T02:04:39.1964702Z  - 
2022-11-23T02:04:39.1964877Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.1964973Z             {
2022-11-23T02:04:39.1965159Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1965314Z                 'code': None,
2022-11-23T02:04:39.1965599Z                 'obj_weakref': <weakref at 0x7fa53c3576a0; to 'Tensor' at 0x7fa531fa5d00>
2022-11-23T02:04:39.1965940Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1966037Z             }
2022-11-23T02:04:39.1966134Z             
2022-11-23T02:04:39.1966244Z  - 
2022-11-23T02:04:39.1966424Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.1966503Z             {
2022-11-23T02:04:39.1966702Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.1966859Z                 'code': None,
2022-11-23T02:04:39.1967145Z                 'obj_weakref': <weakref at 0x7fa53c354e50; to 'Tensor' at 0x7fa531fa4db0>
2022-11-23T02:04:39.1967484Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.1967585Z             }
2022-11-23T02:04:39.1967682Z             
2022-11-23T02:04:39.1967769Z  - 
2022-11-23T02:04:39.1967950Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.1968044Z             {
2022-11-23T02:04:39.1968229Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.1968470Z                 'code': ['___check_obj_id(model, 140347488474384)'],
2022-11-23T02:04:39.1968643Z                 'obj_weakref': None
2022-11-23T02:04:39.1968962Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.1969044Z             }
2022-11-23T02:04:39.1969140Z             
2022-11-23T02:04:39.1969250Z  - 
2022-11-23T02:04:39.1969421Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.1969517Z             {
2022-11-23T02:04:39.1969708Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.1970000Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.1970228Z                 'obj_weakref': None
2022-11-23T02:04:39.1970530Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.1970627Z             }
2022-11-23T02:04:39.1970723Z             
2022-11-23T02:04:39.1970832Z  - 
2022-11-23T02:04:39.1971019Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.1971168Z             {
2022-11-23T02:04:39.1971365Z                 'guard_types': None,
2022-11-23T02:04:39.1971517Z                 'code': None,
2022-11-23T02:04:39.1971684Z                 'obj_weakref': None
2022-11-23T02:04:39.1971853Z                 'guarded_class': None
2022-11-23T02:04:39.1971950Z             }
2022-11-23T02:04:39.1972047Z             
2022-11-23T02:04:39.1972383Z [2022-11-23 01:55:12,484] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 202
2022-11-23T02:04:39.1972875Z [2022-11-23 01:55:15,220] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vm/cvmckvec6dy74s4rftjbvfcnzi3oh5jiudytqik7ryu3seocadgw.py
2022-11-23T02:04:39.1973235Z [2022-11-23 01:55:15,220] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 202
2022-11-23T02:04:39.1973615Z [2022-11-23 01:55:15,226] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.1974046Z [2022-11-23 01:55:15,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.1974340Z [2022-11-23 01:55:15,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.1974683Z [2022-11-23 01:55:15,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.1975056Z [2022-11-23 01:55:15,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.1975488Z [2022-11-23 01:55:15,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1975964Z [2022-11-23 01:55:15,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1977242Z [2022-11-23 01:55:15,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.1978129Z [2022-11-23 01:55:15,228] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9f9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848> 
2022-11-23T02:04:39.1978298Z  2850           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.1978445Z                2 LOAD_METHOD              1 (index_select)
2022-11-23T02:04:39.1978579Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1978712Z                6 LOAD_CONST               1 (0)
2022-11-23T02:04:39.1978850Z                8 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1978980Z               10 CALL_METHOD              3
2022-11-23T02:04:39.1979001Z 
2022-11-23T02:04:39.1979140Z 2851          12 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.1979271Z               14 LOAD_METHOD              1 (index_select)
2022-11-23T02:04:39.1979403Z               16 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1979531Z               18 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1979661Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1979790Z               22 CALL_METHOD              3
2022-11-23T02:04:39.1979809Z 
2022-11-23T02:04:39.1979945Z 2852          24 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.1980088Z               26 LOAD_METHOD              1 (index_select)
2022-11-23T02:04:39.1980204Z               28 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.1980347Z               30 LOAD_METHOD              1 (index_select)
2022-11-23T02:04:39.1980676Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:39.1980803Z               34 LOAD_CONST               3 (2)
2022-11-23T02:04:39.1980931Z               36 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1981063Z               38 CALL_METHOD              3
2022-11-23T02:04:39.1981191Z               40 LOAD_CONST               2 (1)
2022-11-23T02:04:39.1981320Z               42 LOAD_FAST                1 (b)
2022-11-23T02:04:39.1981429Z               44 CALL_METHOD              3
2022-11-23T02:04:39.1981449Z 
2022-11-23T02:04:39.1981578Z 2849          46 BUILD_TUPLE              3
2022-11-23T02:04:39.1981693Z               48 RETURN_VALUE
2022-11-23T02:04:39.1981784Z  
2022-11-23T02:04:39.1981803Z 
2022-11-23T02:04:39.1982242Z [2022-11-23 01:55:15,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2850
2022-11-23T02:04:39.1982545Z [2022-11-23 01:55:15,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.1983052Z [2022-11-23 01:55:15,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1983588Z [2022-11-23 01:55:15,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.1984136Z [2022-11-23 01:55:15,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.1984655Z [2022-11-23 01:55:15,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1985229Z [2022-11-23 01:55:15,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.1985654Z [2022-11-23 01:55:15,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2851
2022-11-23T02:04:39.1985990Z [2022-11-23 01:55:15,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.1986532Z [2022-11-23 01:55:15,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1987016Z [2022-11-23 01:55:15,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.1987535Z [2022-11-23 01:55:15,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.1988104Z [2022-11-23 01:55:15,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1988715Z [2022-11-23 01:55:15,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.1989136Z [2022-11-23 01:55:15,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2852
2022-11-23T02:04:39.1989505Z [2022-11-23 01:55:15,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1990072Z [2022-11-23 01:55:15,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1990673Z [2022-11-23 01:55:15,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.1991403Z [2022-11-23 01:55:15,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.1992080Z [2022-11-23 01:55:15,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.1992857Z [2022-11-23 01:55:15,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.1993619Z [2022-11-23 01:55:15,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1994413Z [2022-11-23 01:55:15,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.1994971Z [2022-11-23 01:55:15,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.1995561Z [2022-11-23 01:55:15,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.1996212Z [2022-11-23 01:55:15,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.1996635Z [2022-11-23 01:55:15,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2849
2022-11-23T02:04:39.1997048Z [2022-11-23 01:55:15,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.1997389Z [2022-11-23 01:55:15,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1997896Z [2022-11-23 01:55:15,238] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9f9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848>
2022-11-23T02:04:39.1998236Z [2022-11-23 01:55:15,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.1998554Z [2022-11-23 01:55:15,238] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.1998900Z [2022-11-23 01:55:15,240] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.1999312Z [2022-11-23 01:55:15,247] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.1999573Z [2022-11-23 01:55:15,248] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.1999747Z  __compiled_fn_205 <eval_with_key>.1691 opcode, name, target, args, kwargs
2022-11-23T02:04:39.1999882Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2000008Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.2000367Z call_function, index_select, <built-in method index_select of type object at 0x7fa5855aec60>, (ex_0_, 0, ex_1_), {}
2022-11-23T02:04:39.2000724Z call_function, index_select_1, <built-in method index_select of type object at 0x7fa5855aec60>, (ex_0_, 1, ex_1_), {}
2022-11-23T02:04:39.2001074Z call_function, index_select_2, <built-in method index_select of type object at 0x7fa5855aec60>, (ex_0_, 2, ex_1_), {}
2022-11-23T02:04:39.2001447Z call_function, index_select_3, <built-in method index_select of type object at 0x7fa5855aec60>, (index_select_2, 1, ex_1_), {}
2022-11-23T02:04:39.2001652Z output, output, output, ((index_select, index_select_1, index_select_3),), {}
2022-11-23T02:04:39.2001674Z 
2022-11-23T02:04:39.2002168Z [2022-11-23 01:55:15,248] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2002293Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2002430Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2002561Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2002701Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2002828Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2002960Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2003074Z              12 RETURN_VALUE
2022-11-23T02:04:39.2003094Z 
2022-11-23T02:04:39.2003168Z  
2022-11-23T02:04:39.2003610Z [2022-11-23 01:55:15,249] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2003775Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_205)
2022-11-23T02:04:39.2003908Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2004045Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2004165Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2004298Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2004431Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.2004526Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.2004656Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.2004804Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.2004951Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2005086Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2005199Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.2005360Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2005471Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.2005600Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.2005749Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2005885Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:39.2006001Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.2006131Z              36 BUILD_TUPLE              3
2022-11-23T02:04:39.2006244Z              38 RETURN_VALUE
2022-11-23T02:04:39.2006263Z 
2022-11-23T02:04:39.2006337Z  
2022-11-23T02:04:39.2006603Z [2022-11-23 01:55:15,250] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2006711Z  - 
2022-11-23T02:04:39.2006882Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2006984Z             {
2022-11-23T02:04:39.2007185Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2007442Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.2007736Z                 'obj_weakref': None
2022-11-23T02:04:39.2008045Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2008143Z             }
2022-11-23T02:04:39.2008239Z             
2022-11-23T02:04:39.2008349Z  - 
2022-11-23T02:04:39.2008529Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2008625Z             {
2022-11-23T02:04:39.2008804Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2008959Z                 'code': None,
2022-11-23T02:04:39.2009243Z                 'obj_weakref': <weakref at 0x7fa53c3576f0; to 'Tensor' at 0x7fa550097330>
2022-11-23T02:04:39.2009589Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2009686Z             }
2022-11-23T02:04:39.2009783Z             
2022-11-23T02:04:39.2009890Z  - 
2022-11-23T02:04:39.2010048Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.2010152Z             {
2022-11-23T02:04:39.2010355Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2010510Z                 'code': None,
2022-11-23T02:04:39.2010796Z                 'obj_weakref': <weakref at 0x7fa53c355b70; to 'Tensor' at 0x7fa550094f40>
2022-11-23T02:04:39.2011192Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2011294Z             }
2022-11-23T02:04:39.2011389Z             
2022-11-23T02:04:39.2011480Z  - 
2022-11-23T02:04:39.2011665Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.2011761Z             {
2022-11-23T02:04:39.2011947Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2012178Z                 'code': ['___check_obj_id(model, 140347488474384)'],
2022-11-23T02:04:39.2012345Z                 'obj_weakref': None
2022-11-23T02:04:39.2012637Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.2012739Z             }
2022-11-23T02:04:39.2012837Z             
2022-11-23T02:04:39.2012941Z  - 
2022-11-23T02:04:39.2013110Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2013207Z             {
2022-11-23T02:04:39.2013401Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2013674Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2013842Z                 'obj_weakref': None
2022-11-23T02:04:39.2014145Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2014247Z             }
2022-11-23T02:04:39.2014343Z             
2022-11-23T02:04:39.2014450Z  - 
2022-11-23T02:04:39.2014636Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.2014714Z             {
2022-11-23T02:04:39.2014884Z                 'guard_types': None,
2022-11-23T02:04:39.2015040Z                 'code': None,
2022-11-23T02:04:39.2015206Z                 'obj_weakref': None
2022-11-23T02:04:39.2015385Z                 'guarded_class': None
2022-11-23T02:04:39.2015482Z             }
2022-11-23T02:04:39.2015578Z             
2022-11-23T02:04:39.2015916Z [2022-11-23 01:55:15,270] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 203
2022-11-23T02:04:39.2017241Z [2022-11-23 01:55:17,962] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7h/c7hu74bwgnc5fk53lfg6swtq4nqicx6vyng3dzei6465bubrslgy.py
2022-11-23T02:04:39.2017895Z [2022-11-23 01:55:17,963] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 203
2022-11-23T02:04:39.2017924Z 
2022-11-23T02:04:39.2018117Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2018226Z import torch
2022-11-23T02:04:39.2018332Z import random
2022-11-23T02:04:39.2018497Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2018671Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2018856Z 
2022-11-23T02:04:39.2018962Z aten = torch.ops.aten
2022-11-23T02:04:39.2019152Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2019286Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2019306Z 
2022-11-23T02:04:39.2019325Z 
2022-11-23T02:04:39.2019527Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2019809Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2019976Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T02:04:39.2020127Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.2020270Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.2020389Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.2020528Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.2020623Z {
2022-11-23T02:04:39.2020766Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2020862Z     {
2022-11-23T02:04:39.2021000Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.2021119Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.2021195Z         {
2022-11-23T02:04:39.2021321Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T02:04:39.2021418Z             {
2022-11-23T02:04:39.2021593Z                 {
2022-11-23T02:04:39.2021700Z                     {
2022-11-23T02:04:39.2021841Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.2021994Z                         auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2022-11-23T02:04:39.2022115Z                         out_ptr0[i1 + (64*i0)] = tmp1;
2022-11-23T02:04:39.2022214Z                     }
2022-11-23T02:04:39.2022313Z                 }
2022-11-23T02:04:39.2022411Z             }
2022-11-23T02:04:39.2022507Z         }
2022-11-23T02:04:39.2022622Z         #pragma omp for 
2022-11-23T02:04:39.2022746Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.2022822Z         {
2022-11-23T02:04:39.2022941Z             #pragma GCC ivdep
2022-11-23T02:04:39.2023070Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.2023166Z             {
2022-11-23T02:04:39.2023289Z                 #pragma GCC ivdep
2022-11-23T02:04:39.2023419Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T02:04:39.2023498Z                 {
2022-11-23T02:04:39.2023601Z                     {
2022-11-23T02:04:39.2023704Z                         {
2022-11-23T02:04:39.2023846Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:39.2024007Z                             auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)];
2022-11-23T02:04:39.2024158Z                             out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1;
2022-11-23T02:04:39.2024262Z                         }
2022-11-23T02:04:39.2024343Z                     }
2022-11-23T02:04:39.2024442Z                 }
2022-11-23T02:04:39.2024538Z             }
2022-11-23T02:04:39.2024634Z         }
2022-11-23T02:04:39.2024816Z         #pragma omp for 
2022-11-23T02:04:39.2024933Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.2025035Z         {
2022-11-23T02:04:39.2025135Z             #pragma GCC ivdep
2022-11-23T02:04:39.2025258Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.2025354Z             {
2022-11-23T02:04:39.2025474Z                 #pragma GCC ivdep
2022-11-23T02:04:39.2025610Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T02:04:39.2025709Z                 {
2022-11-23T02:04:39.2025808Z                     {
2022-11-23T02:04:39.2025891Z                         {
2022-11-23T02:04:39.2026034Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:39.2026169Z                             auto tmp1 = in_ptr0[i2];
2022-11-23T02:04:39.2026333Z                             auto tmp2 = in_ptr1[tmp1 + (8*tmp0) + (64*i0)];
2022-11-23T02:04:39.2026485Z                             out_ptr2[i2 + (4*i1) + (16*i0)] = tmp2;
2022-11-23T02:04:39.2026590Z                         }
2022-11-23T02:04:39.2026690Z                     }
2022-11-23T02:04:39.2026768Z                 }
2022-11-23T02:04:39.2026926Z             }
2022-11-23T02:04:39.2027022Z         }
2022-11-23T02:04:39.2027115Z     }
2022-11-23T02:04:39.2027209Z }
2022-11-23T02:04:39.2027335Z ''')
2022-11-23T02:04:39.2027355Z 
2022-11-23T02:04:39.2027373Z 
2022-11-23T02:04:39.2027506Z async_compile.wait(globals())
2022-11-23T02:04:39.2027599Z del async_compile
2022-11-23T02:04:39.2027618Z 
2022-11-23T02:04:39.2027726Z def call(args):
2022-11-23T02:04:39.2027838Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.2027945Z     args.clear()
2022-11-23T02:04:39.2028224Z     buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2028495Z     buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2028771Z     buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2029044Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.2029153Z     del arg0_1
2022-11-23T02:04:39.2029253Z     del arg1_1
2022-11-23T02:04:39.2029373Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:39.2029392Z 
2022-11-23T02:04:39.2029410Z 
2022-11-23T02:04:39.2029523Z if __name__ == "__main__":
2022-11-23T02:04:39.2029736Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2029917Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2030198Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2030435Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:39.2030601Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.2030622Z 
2022-11-23T02:04:39.2030641Z 
2022-11-23T02:04:39.2030776Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2030881Z import torch
2022-11-23T02:04:39.2030986Z import random
2022-11-23T02:04:39.2031147Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2031323Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2031342Z 
2022-11-23T02:04:39.2031457Z aten = torch.ops.aten
2022-11-23T02:04:39.2031624Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2031761Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2031780Z 
2022-11-23T02:04:39.2031799Z 
2022-11-23T02:04:39.2031993Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2032274Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2032443Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.2032593Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.2032734Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.2032871Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.2032988Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.2033084Z {
2022-11-23T02:04:39.2033225Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2033319Z     {
2022-11-23T02:04:39.2033452Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.2033572Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.2033667Z         {
2022-11-23T02:04:39.2033777Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T02:04:39.2033874Z             {
2022-11-23T02:04:39.2033971Z                 {
2022-11-23T02:04:39.2034070Z                     {
2022-11-23T02:04:39.2034207Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.2034357Z                         auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2022-11-23T02:04:39.2034496Z                         out_ptr0[i1 + (64*i0)] = tmp1;
2022-11-23T02:04:39.2034577Z                     }
2022-11-23T02:04:39.2034675Z                 }
2022-11-23T02:04:39.2034771Z             }
2022-11-23T02:04:39.2034865Z         }
2022-11-23T02:04:39.2034979Z         #pragma omp for 
2022-11-23T02:04:39.2035098Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.2035312Z         {
2022-11-23T02:04:39.2035433Z             #pragma GCC ivdep
2022-11-23T02:04:39.2035553Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.2035648Z             {
2022-11-23T02:04:39.2035769Z                 #pragma GCC ivdep
2022-11-23T02:04:39.2035906Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T02:04:39.2036007Z                 {
2022-11-23T02:04:39.2036087Z                     {
2022-11-23T02:04:39.2036189Z                         {
2022-11-23T02:04:39.2036330Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:39.2036490Z                             auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)];
2022-11-23T02:04:39.2036638Z                             out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1;
2022-11-23T02:04:39.2036740Z                         }
2022-11-23T02:04:39.2036840Z                     }
2022-11-23T02:04:39.2036919Z                 }
2022-11-23T02:04:39.2037015Z             }
2022-11-23T02:04:39.2037116Z         }
2022-11-23T02:04:39.2037228Z         #pragma omp for 
2022-11-23T02:04:39.2037349Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.2037443Z         {
2022-11-23T02:04:39.2037557Z             #pragma GCC ivdep
2022-11-23T02:04:39.2037661Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.2037806Z             {
2022-11-23T02:04:39.2037935Z                 #pragma GCC ivdep
2022-11-23T02:04:39.2038065Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T02:04:39.2038162Z                 {
2022-11-23T02:04:39.2038261Z                     {
2022-11-23T02:04:39.2038344Z                         {
2022-11-23T02:04:39.2038482Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:39.2038618Z                             auto tmp1 = in_ptr0[i2];
2022-11-23T02:04:39.2038779Z                             auto tmp2 = in_ptr1[tmp1 + (8*tmp0) + (64*i0)];
2022-11-23T02:04:39.2038928Z                             out_ptr2[i2 + (4*i1) + (16*i0)] = tmp2;
2022-11-23T02:04:39.2039036Z                         }
2022-11-23T02:04:39.2039135Z                     }
2022-11-23T02:04:39.2039232Z                 }
2022-11-23T02:04:39.2039309Z             }
2022-11-23T02:04:39.2039400Z         }
2022-11-23T02:04:39.2039494Z     }
2022-11-23T02:04:39.2039584Z }
2022-11-23T02:04:39.2039715Z ''')
2022-11-23T02:04:39.2039735Z 
2022-11-23T02:04:39.2039753Z 
2022-11-23T02:04:39.2039887Z async_compile.wait(globals())
2022-11-23T02:04:39.2039999Z del async_compile
2022-11-23T02:04:39.2040019Z 
2022-11-23T02:04:39.2040105Z def call(args):
2022-11-23T02:04:39.2040222Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.2040327Z     args.clear()
2022-11-23T02:04:39.2040607Z     buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2040876Z     buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2041140Z     buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2041425Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.2041515Z     del arg0_1
2022-11-23T02:04:39.2041617Z     del arg1_1
2022-11-23T02:04:39.2041740Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:39.2041763Z 
2022-11-23T02:04:39.2041782Z 
2022-11-23T02:04:39.2041898Z if __name__ == "__main__":
2022-11-23T02:04:39.2042063Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2042232Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2042511Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2042767Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.2042911Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.2042949Z 
2022-11-23T02:04:39.2043031Z ok (5.532s)
2022-11-23T02:04:39.2043477Z   test_indirect_load_broadcast_cpu (__main__.CpuTests) ... [2022-11-23 01:55:18,015] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.2044006Z [2022-11-23 01:55:18,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.2044312Z [2022-11-23 01:55:18,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.2044657Z [2022-11-23 01:55:18,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.2045033Z [2022-11-23 01:55:18,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.2045468Z [2022-11-23 01:55:18,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2045937Z [2022-11-23 01:55:18,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2046375Z [2022-11-23 01:55:18,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2046905Z [2022-11-23 01:55:18,017] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8a760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3316> 
2022-11-23T02:04:39.2047054Z  3317           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2047188Z                2 LOAD_METHOD              1 (gather)
2022-11-23T02:04:39.2047326Z                4 LOAD_FAST                1 (in_ptr1)
2022-11-23T02:04:39.2047458Z                6 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2047594Z                8 LOAD_FAST                2 (in_ptr2)
2022-11-23T02:04:39.2047722Z               10 CALL_METHOD              3
2022-11-23T02:04:39.2047858Z               12 LOAD_FAST                0 (in_ptr0)
2022-11-23T02:04:39.2047955Z               14 BINARY_ADD
2022-11-23T02:04:39.2048068Z               16 RETURN_VALUE
2022-11-23T02:04:39.2048161Z  
2022-11-23T02:04:39.2048180Z 
2022-11-23T02:04:39.2048615Z [2022-11-23 01:55:18,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3317
2022-11-23T02:04:39.2048915Z [2022-11-23 01:55:18,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.2049414Z [2022-11-23 01:55:18,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2049939Z [2022-11-23 01:55:18,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr1 [TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.2050444Z [2022-11-23 01:55:18,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.2050983Z [2022-11-23 01:55:18,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr2 [TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2051542Z [2022-11-23 01:55:18,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method gather of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.2051861Z [2022-11-23 01:55:18,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr0 [TensorVariable()]
2022-11-23T02:04:39.2052226Z [2022-11-23 01:55:18,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2052557Z [2022-11-23 01:55:18,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.2053134Z [2022-11-23 01:55:18,021] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8a760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3316>
2022-11-23T02:04:39.2053474Z [2022-11-23 01:55:18,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.2053793Z [2022-11-23 01:55:18,022] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.2054139Z [2022-11-23 01:55:18,023] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.2054481Z [2022-11-23 01:55:18,031] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.2054740Z [2022-11-23 01:55:18,031] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2054930Z  __compiled_fn_206 <eval_with_key>.1697 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2055044Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2055181Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.2055309Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.2055646Z call_function, gather, <built-in method gather of type object at 0x7fa5855aec60>, (ex_1_, 0, ex_2_), {}
2022-11-23T02:04:39.2055961Z call_function, add, <built-in function add>, (gather, ex_0_), {}
2022-11-23T02:04:39.2056672Z output, output, output, ((add,),), {}
2022-11-23T02:04:39.2056711Z 
2022-11-23T02:04:39.2057524Z [2022-11-23 01:55:18,032] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2057802Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2057988Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2058188Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2058381Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2058511Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2058651Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2058764Z              12 RETURN_VALUE
2022-11-23T02:04:39.2058784Z 
2022-11-23T02:04:39.2058879Z  
2022-11-23T02:04:39.2059310Z [2022-11-23 01:55:18,032] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2059467Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_206)
2022-11-23T02:04:39.2059598Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2059730Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2059851Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2059981Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2060112Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.2060227Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.2060336Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2060461Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.2060576Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.2060703Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.2060837Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.2060949Z              24 RETURN_VALUE
2022-11-23T02:04:39.2060969Z 
2022-11-23T02:04:39.2061069Z  
2022-11-23T02:04:39.2061305Z [2022-11-23 01:55:18,033] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2061414Z  - 
2022-11-23T02:04:39.2061581Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2061679Z             {
2022-11-23T02:04:39.2061877Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2062137Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.2062307Z                 'obj_weakref': None
2022-11-23T02:04:39.2062595Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2062694Z             }
2022-11-23T02:04:39.2062980Z             
2022-11-23T02:04:39.2063091Z  - 
2022-11-23T02:04:39.2063268Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2063364Z             {
2022-11-23T02:04:39.2063564Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2063699Z                 'code': None,
2022-11-23T02:04:39.2063993Z                 'obj_weakref': <weakref at 0x7fa5320f44a0; to 'Tensor' at 0x7fa550097330>
2022-11-23T02:04:39.2064336Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2064433Z             }
2022-11-23T02:04:39.2064530Z             
2022-11-23T02:04:39.2064636Z  - 
2022-11-23T02:04:39.2064807Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.2064886Z             {
2022-11-23T02:04:39.2065082Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2065235Z                 'code': None,
2022-11-23T02:04:39.2065514Z                 'obj_weakref': <weakref at 0x7fa53c4256c0; to 'Tensor' at 0x7fa550096020>
2022-11-23T02:04:39.2065855Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2065953Z             }
2022-11-23T02:04:39.2066049Z             
2022-11-23T02:04:39.2066136Z  - 
2022-11-23T02:04:39.2066404Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.2066509Z             {
2022-11-23T02:04:39.2066710Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2066863Z                 'code': None,
2022-11-23T02:04:39.2067151Z                 'obj_weakref': <weakref at 0x7fa531f16fc0; to 'Tensor' at 0x7fa53c35a700>
2022-11-23T02:04:39.2067486Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2067563Z             }
2022-11-23T02:04:39.2067663Z             
2022-11-23T02:04:39.2067768Z  - 
2022-11-23T02:04:39.2067950Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.2068047Z             {
2022-11-23T02:04:39.2068240Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2068472Z                 'code': ['___check_obj_id(model, 140347488474384)'],
2022-11-23T02:04:39.2068621Z                 'obj_weakref': None
2022-11-23T02:04:39.2068933Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.2069031Z             }
2022-11-23T02:04:39.2069126Z             
2022-11-23T02:04:39.2069234Z  - 
2022-11-23T02:04:39.2069408Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2069503Z             {
2022-11-23T02:04:39.2069674Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2069965Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2070134Z                 'obj_weakref': None
2022-11-23T02:04:39.2070436Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2070531Z             }
2022-11-23T02:04:39.2070630Z             
2022-11-23T02:04:39.2070735Z  - 
2022-11-23T02:04:39.2070902Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.2070998Z             {
2022-11-23T02:04:39.2071165Z                 'guard_types': None,
2022-11-23T02:04:39.2071319Z                 'code': None,
2022-11-23T02:04:39.2071484Z                 'obj_weakref': None
2022-11-23T02:04:39.2071655Z                 'guarded_class': None
2022-11-23T02:04:39.2071752Z             }
2022-11-23T02:04:39.2071828Z             
2022-11-23T02:04:39.2072191Z [2022-11-23 01:55:18,045] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 204
2022-11-23T02:04:39.2072679Z [2022-11-23 01:55:20,624] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h4/ch456izlkzlnyatasdlkxxvgchcscngcs63a2ackusqtvs5czaxz.py
2022-11-23T02:04:39.2073038Z [2022-11-23 01:55:20,624] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 204
2022-11-23T02:04:39.2073118Z 
2022-11-23T02:04:39.2073261Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2073368Z import torch
2022-11-23T02:04:39.2073475Z import random
2022-11-23T02:04:39.2073620Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2073798Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2073817Z 
2022-11-23T02:04:39.2073937Z aten = torch.ops.aten
2022-11-23T02:04:39.2074126Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2074259Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2074279Z 
2022-11-23T02:04:39.2074298Z 
2022-11-23T02:04:39.2074494Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2074771Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2074942Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.2075093Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.2075226Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.2075374Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.2075466Z {
2022-11-23T02:04:39.2075608Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2075705Z     {
2022-11-23T02:04:39.2075874Z         #pragma omp for 
2022-11-23T02:04:39.2075984Z         for(long i0=0; i0<21; i0+=1)
2022-11-23T02:04:39.2076082Z         {
2022-11-23T02:04:39.2076203Z             #pragma GCC ivdep
2022-11-23T02:04:39.2076327Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T02:04:39.2076427Z             {
2022-11-23T02:04:39.2076528Z                 {
2022-11-23T02:04:39.2076631Z                     {
2022-11-23T02:04:39.2076762Z                         auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T02:04:39.2076904Z                         auto tmp2 = in_ptr2[i1];
2022-11-23T02:04:39.2077054Z                         auto tmp1 = in_ptr1[i0 + (512*tmp0)];
2022-11-23T02:04:39.2077190Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:39.2077335Z                         out_ptr0[i1 + (32*i0)] = tmp3;
2022-11-23T02:04:39.2077435Z                     }
2022-11-23T02:04:39.2077532Z                 }
2022-11-23T02:04:39.2077609Z             }
2022-11-23T02:04:39.2077703Z         }
2022-11-23T02:04:39.2077795Z     }
2022-11-23T02:04:39.2077892Z }
2022-11-23T02:04:39.2078017Z ''')
2022-11-23T02:04:39.2078037Z 
2022-11-23T02:04:39.2078055Z 
2022-11-23T02:04:39.2078188Z async_compile.wait(globals())
2022-11-23T02:04:39.2078301Z del async_compile
2022-11-23T02:04:39.2078320Z 
2022-11-23T02:04:39.2078407Z def call(args):
2022-11-23T02:04:39.2078530Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.2078637Z     args.clear()
2022-11-23T02:04:39.2078914Z     buf0 = empty_strided((32, 21), (1, 32), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2079176Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.2079277Z     del arg0_1
2022-11-23T02:04:39.2079385Z     del arg1_1
2022-11-23T02:04:39.2079484Z     del arg2_1
2022-11-23T02:04:39.2079573Z     return (buf0, )
2022-11-23T02:04:39.2079592Z 
2022-11-23T02:04:39.2079610Z 
2022-11-23T02:04:39.2079725Z if __name__ == "__main__":
2022-11-23T02:04:39.2079892Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2080067Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2080342Z     arg0_1 = rand_strided((32, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2080628Z     arg1_1 = rand_strided((9521, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2080898Z     arg2_1 = rand_strided((32, 21), (1, 32), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.2081072Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.2081091Z 
2022-11-23T02:04:39.2081174Z ok (2.661s)
2022-11-23T02:04:39.2081577Z   test_inf_cpu (__main__.CpuTests) ... [2022-11-23 01:55:20,630] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.2082080Z [2022-11-23 01:55:20,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.2082385Z [2022-11-23 01:55:20,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.2082728Z [2022-11-23 01:55:20,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.2083105Z [2022-11-23 01:55:20,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.2083533Z [2022-11-23 01:55:20,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2084128Z [2022-11-23 01:55:20,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2084570Z [2022-11-23 01:55:20,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2085131Z [2022-11-23 01:55:20,631] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9efa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2753> 
2022-11-23T02:04:39.2085255Z  2754           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2085396Z                2 LOAD_GLOBAL              0 (float)
2022-11-23T02:04:39.2085594Z                4 LOAD_CONST               1 ('inf')
2022-11-23T02:04:39.2085726Z                6 CALL_FUNCTION            1
2022-11-23T02:04:39.2085837Z                8 BINARY_ADD
2022-11-23T02:04:39.2085968Z               10 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2086103Z               12 LOAD_GLOBAL              0 (float)
2022-11-23T02:04:39.2086288Z               14 LOAD_CONST               2 ('-inf')
2022-11-23T02:04:39.2086427Z               16 CALL_FUNCTION            1
2022-11-23T02:04:39.2086542Z               18 BINARY_ADD
2022-11-23T02:04:39.2086674Z               20 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2086811Z               22 LOAD_GLOBAL              0 (float)
2022-11-23T02:04:39.2087010Z               24 LOAD_CONST               1 ('inf')
2022-11-23T02:04:39.2087146Z               26 CALL_FUNCTION            1
2022-11-23T02:04:39.2087243Z               28 UNARY_NEGATIVE
2022-11-23T02:04:39.2087366Z               30 BINARY_MULTIPLY
2022-11-23T02:04:39.2087494Z               32 BUILD_TUPLE              3
2022-11-23T02:04:39.2087608Z               34 RETURN_VALUE
2022-11-23T02:04:39.2087700Z  
2022-11-23T02:04:39.2087719Z 
2022-11-23T02:04:39.2088147Z [2022-11-23 01:55:20,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2754
2022-11-23T02:04:39.2088442Z [2022-11-23 01:55:20,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.2088781Z [2022-11-23 01:55:20,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable()]
2022-11-23T02:04:39.2089140Z [2022-11-23 01:55:20,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TensorVariable(), BuiltinVariable(float)]
2022-11-23T02:04:39.2089565Z [2022-11-23 01:55:20,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T02:04:39.2089959Z [2022-11-23 01:55:20,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.2090280Z [2022-11-23 01:55:20,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:39.2090646Z [2022-11-23 01:55:20,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2091063Z [2022-11-23 01:55:20,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -inf [TensorVariable(), TensorVariable(), BuiltinVariable(float)]
2022-11-23T02:04:39.2091596Z [2022-11-23 01:55:20,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T02:04:39.2092018Z [2022-11-23 01:55:20,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.2092374Z [2022-11-23 01:55:20,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2092778Z [2022-11-23 01:55:20,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2093224Z [2022-11-23 01:55:20,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TensorVariable(), TensorVariable(), TensorVariable(), BuiltinVariable(float)]
2022-11-23T02:04:39.2093703Z [2022-11-23 01:55:20,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T02:04:39.2094214Z [2022-11-23 01:55:20,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_NEGATIVE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.2094693Z [2022-11-23 01:55:20,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.2095091Z [2022-11-23 01:55:20,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2095426Z [2022-11-23 01:55:20,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2095939Z [2022-11-23 01:55:20,639] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9efa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2753>
2022-11-23T02:04:39.2096942Z [2022-11-23 01:55:20,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2097536Z [2022-11-23 01:55:20,639] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.2098093Z [2022-11-23 01:55:20,641] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.2098447Z [2022-11-23 01:55:20,651] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.2098689Z [2022-11-23 01:55:20,652] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2098878Z  __compiled_fn_207 <eval_with_key>.1703 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2099010Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2099249Z call_function, add, <built-in function add>, (ex_0_, inf), {}
2022-11-23T02:04:39.2099504Z call_function, add_1, <built-in function add>, (ex_0_, -inf), {}
2022-11-23T02:04:39.2099744Z call_function, mul, <built-in function mul>, (ex_0_, -inf), {}
2022-11-23T02:04:39.2099898Z output, output, output, ((add, add_1, mul),), {}
2022-11-23T02:04:39.2099919Z 
2022-11-23T02:04:39.2100361Z [2022-11-23 01:55:20,652] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2100501Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2100613Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2100740Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2100877Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2101003Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2101135Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2101245Z              12 RETURN_VALUE
2022-11-23T02:04:39.2101449Z 
2022-11-23T02:04:39.2101548Z  
2022-11-23T02:04:39.2101971Z [2022-11-23 01:55:20,652] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2102132Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_207)
2022-11-23T02:04:39.2102267Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2102459Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2102573Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2102702Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.2102850Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.2102998Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2103111Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2103224Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.2103363Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2103500Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.2103614Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.2103758Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2103887Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.2104051Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.2104188Z              30 BUILD_TUPLE              3
2022-11-23T02:04:39.2104301Z              32 RETURN_VALUE
2022-11-23T02:04:39.2104320Z 
2022-11-23T02:04:39.2104413Z  
2022-11-23T02:04:39.2104673Z [2022-11-23 01:55:20,653] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2104780Z  - 
2022-11-23T02:04:39.2104948Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2105027Z             {
2022-11-23T02:04:39.2105224Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2105485Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.2105655Z                 'obj_weakref': None
2022-11-23T02:04:39.2105973Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2106071Z             }
2022-11-23T02:04:39.2106167Z             
2022-11-23T02:04:39.2106254Z  - 
2022-11-23T02:04:39.2106433Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2106529Z             {
2022-11-23T02:04:39.2106729Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2106882Z                 'code': None,
2022-11-23T02:04:39.2107173Z                 'obj_weakref': <weakref at 0x7fa5320bcdb0; to 'Tensor' at 0x7fa531f4d0d0>
2022-11-23T02:04:39.2107518Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2107596Z             }
2022-11-23T02:04:39.2107692Z             
2022-11-23T02:04:39.2107798Z  - 
2022-11-23T02:04:39.2107983Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.2108082Z             {
2022-11-23T02:04:39.2108267Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2108504Z                 'code': ['___check_obj_id(model, 140347488474384)'],
2022-11-23T02:04:39.2108654Z                 'obj_weakref': None
2022-11-23T02:04:39.2108970Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.2109069Z             }
2022-11-23T02:04:39.2109165Z             
2022-11-23T02:04:39.2109270Z  - 
2022-11-23T02:04:39.2109447Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2109543Z             {
2022-11-23T02:04:39.2109717Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2110006Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2110173Z                 'obj_weakref': None
2022-11-23T02:04:39.2110476Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2110574Z             }
2022-11-23T02:04:39.2110668Z             
2022-11-23T02:04:39.2110866Z  - 
2022-11-23T02:04:39.2111034Z             global 'float' BUILTIN_MATCH
2022-11-23T02:04:39.2111134Z             {
2022-11-23T02:04:39.2111303Z                 'guard_types': None,
2022-11-23T02:04:39.2111454Z                 'code': None,
2022-11-23T02:04:39.2111629Z                 'obj_weakref': None
2022-11-23T02:04:39.2111800Z                 'guarded_class': None
2022-11-23T02:04:39.2111896Z             }
2022-11-23T02:04:39.2111974Z             
2022-11-23T02:04:39.2112329Z [2022-11-23 01:55:20,664] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 205
2022-11-23T02:04:39.2112823Z [2022-11-23 01:55:23,248] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tf/ctf4aggp2t53hfidzynm7xfqqknunxf6eurpvvvpctdpwv2nlbcg.py
2022-11-23T02:04:39.2113186Z [2022-11-23 01:55:23,248] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 205
2022-11-23T02:04:39.2113209Z 
2022-11-23T02:04:39.2113348Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2113455Z import torch
2022-11-23T02:04:39.2113560Z import random
2022-11-23T02:04:39.2113705Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2113876Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2113947Z 
2022-11-23T02:04:39.2114071Z aten = torch.ops.aten
2022-11-23T02:04:39.2114258Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2114448Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2114468Z 
2022-11-23T02:04:39.2114487Z 
2022-11-23T02:04:39.2114679Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2114960Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2115131Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.2115275Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.2115397Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.2115537Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.2115630Z {
2022-11-23T02:04:39.2115772Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2115868Z     {
2022-11-23T02:04:39.2115985Z         #pragma omp for 
2022-11-23T02:04:39.2116090Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:39.2116185Z         {
2022-11-23T02:04:39.2116417Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.2116631Z             auto tmp1 = at::vec::Vectorized<float>(std::numeric_limits<float>::infinity());
2022-11-23T02:04:39.2116756Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.2117067Z             auto tmp3 = at::vec::Vectorized<float>(-std::numeric_limits<float>::infinity());
2022-11-23T02:04:39.2117192Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T02:04:39.2117315Z             auto tmp5 = tmp0 * tmp3;
2022-11-23T02:04:39.2117433Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.2117567Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.2117699Z             tmp5.store(out_ptr2 + 8*i0);
2022-11-23T02:04:39.2117794Z         }
2022-11-23T02:04:39.2117930Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.2118050Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T02:04:39.2118145Z         {
2022-11-23T02:04:39.2118250Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.2118428Z             auto tmp1 = std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.2118553Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.2118887Z             auto tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.2119011Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T02:04:39.2119134Z             auto tmp5 = tmp0 * tmp3;
2022-11-23T02:04:39.2119251Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.2119352Z             out_ptr1[i0] = tmp4;
2022-11-23T02:04:39.2119465Z             out_ptr2[i0] = tmp5;
2022-11-23T02:04:39.2119560Z         }
2022-11-23T02:04:39.2119654Z     }
2022-11-23T02:04:39.2119809Z }
2022-11-23T02:04:39.2119932Z ''')
2022-11-23T02:04:39.2119952Z 
2022-11-23T02:04:39.2119970Z 
2022-11-23T02:04:39.2120103Z async_compile.wait(globals())
2022-11-23T02:04:39.2120193Z del async_compile
2022-11-23T02:04:39.2120233Z 
2022-11-23T02:04:39.2120325Z def call(args):
2022-11-23T02:04:39.2120430Z     arg0_1, = args
2022-11-23T02:04:39.2120535Z     args.clear()
2022-11-23T02:04:39.2120802Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2121066Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2121322Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2121585Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.2121672Z     del arg0_1
2022-11-23T02:04:39.2121792Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:39.2121811Z 
2022-11-23T02:04:39.2121833Z 
2022-11-23T02:04:39.2121947Z if __name__ == "__main__":
2022-11-23T02:04:39.2122109Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2122282Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2122601Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2122763Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.2122783Z 
2022-11-23T02:04:39.2122884Z ok (2.624s)
2022-11-23T02:04:39.2123300Z   test_inplace_activations_cpu (__main__.CpuTests) ... [2022-11-23 01:55:23,255] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.2123726Z [2022-11-23 01:55:23,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.2124028Z [2022-11-23 01:55:23,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.2124365Z [2022-11-23 01:55:23,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.2124740Z [2022-11-23 01:55:23,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.2125171Z [2022-11-23 01:55:23,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2125633Z [2022-11-23 01:55:23,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2126061Z [2022-11-23 01:55:23,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2126561Z [2022-11-23 01:55:23,256] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8b050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3396> 
2022-11-23T02:04:39.2126703Z  3397           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.2126833Z                2 LOAD_METHOD              1 (hardswish_)
2022-11-23T02:04:39.2126969Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2127103Z                6 LOAD_CONST               1 (1)
2022-11-23T02:04:39.2127218Z                8 BINARY_ADD
2022-11-23T02:04:39.2127347Z               10 CALL_METHOD              1
2022-11-23T02:04:39.2127479Z               12 STORE_FAST               1 (a)
2022-11-23T02:04:39.2127498Z 
2022-11-23T02:04:39.2127633Z 3398          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.2127776Z               16 LOAD_METHOD              2 (hardtanh_)
2022-11-23T02:04:39.2127888Z               18 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2128020Z               20 LOAD_CONST               1 (1)
2022-11-23T02:04:39.2128124Z               22 BINARY_ADD
2022-11-23T02:04:39.2128250Z               24 CALL_METHOD              1
2022-11-23T02:04:39.2128441Z               26 STORE_FAST               2 (b)
2022-11-23T02:04:39.2128460Z 
2022-11-23T02:04:39.2128593Z 3399          28 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.2128736Z               30 LOAD_METHOD              3 (leaky_relu_)
2022-11-23T02:04:39.2128854Z               32 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2128984Z               34 LOAD_CONST               1 (1)
2022-11-23T02:04:39.2129163Z               36 BINARY_ADD
2022-11-23T02:04:39.2129338Z               38 CALL_METHOD              1
2022-11-23T02:04:39.2129464Z               40 STORE_FAST               3 (c)
2022-11-23T02:04:39.2129485Z 
2022-11-23T02:04:39.2129618Z 3400          42 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.2129749Z               44 LOAD_METHOD              4 (silu_)
2022-11-23T02:04:39.2129875Z               46 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2129987Z               48 LOAD_CONST               1 (1)
2022-11-23T02:04:39.2130094Z               50 BINARY_ADD
2022-11-23T02:04:39.2130227Z               52 CALL_METHOD              1
2022-11-23T02:04:39.2130355Z               54 STORE_FAST               4 (d)
2022-11-23T02:04:39.2130375Z 
2022-11-23T02:04:39.2130511Z 3401          56 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.2130699Z               58 LOAD_METHOD              5 (log1p)
2022-11-23T02:04:39.2130834Z               60 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2130945Z               62 LOAD_CONST               1 (1)
2022-11-23T02:04:39.2131058Z               64 BINARY_ADD
2022-11-23T02:04:39.2131185Z               66 CALL_METHOD              1
2022-11-23T02:04:39.2131313Z               68 STORE_FAST               5 (e)
2022-11-23T02:04:39.2131332Z 
2022-11-23T02:04:39.2131464Z 3402          70 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.2131611Z               72 LOAD_METHOD              6 (masked_fill_)
2022-11-23T02:04:39.2131740Z               74 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2131848Z               76 LOAD_CONST               1 (1)
2022-11-23T02:04:39.2131963Z               78 BINARY_ADD
2022-11-23T02:04:39.2132097Z               80 LOAD_GLOBAL              7 (torch)
2022-11-23T02:04:39.2132238Z               82 LOAD_ATTR                8 (zeros_like)
2022-11-23T02:04:39.2132371Z               84 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2132504Z               86 LOAD_GLOBAL              7 (torch)
2022-11-23T02:04:39.2132634Z               88 LOAD_ATTR                9 (bool)
2022-11-23T02:04:39.2132856Z               90 LOAD_CONST               2 (('dtype',))
2022-11-23T02:04:39.2132970Z               92 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.2133101Z               94 LOAD_CONST               3 (99.0)
2022-11-23T02:04:39.2133229Z               96 CALL_METHOD              3
2022-11-23T02:04:39.2133358Z               98 STORE_FAST               6 (f)
2022-11-23T02:04:39.2133377Z 
2022-11-23T02:04:39.2133509Z 3403         100 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.2133655Z              102 LOAD_METHOD              6 (masked_fill_)
2022-11-23T02:04:39.2133789Z              104 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2133898Z              106 LOAD_CONST               1 (1)
2022-11-23T02:04:39.2134008Z              108 BINARY_ADD
2022-11-23T02:04:39.2134145Z              110 LOAD_GLOBAL              7 (torch)
2022-11-23T02:04:39.2134284Z              112 LOAD_ATTR               10 (ones_like)
2022-11-23T02:04:39.2134412Z              114 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2134548Z              116 LOAD_GLOBAL              7 (torch)
2022-11-23T02:04:39.2134677Z              118 LOAD_ATTR                9 (bool)
2022-11-23T02:04:39.2134876Z              120 LOAD_CONST               2 (('dtype',))
2022-11-23T02:04:39.2135010Z              122 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.2135141Z              124 LOAD_CONST               3 (99.0)
2022-11-23T02:04:39.2135269Z              126 CALL_METHOD              3
2022-11-23T02:04:39.2135400Z              128 STORE_FAST               7 (h)
2022-11-23T02:04:39.2135478Z 
2022-11-23T02:04:39.2135615Z 3404         130 LOAD_FAST                1 (a)
2022-11-23T02:04:39.2135743Z              132 LOAD_FAST                2 (b)
2022-11-23T02:04:39.2135870Z              134 LOAD_FAST                3 (c)
2022-11-23T02:04:39.2135984Z              136 LOAD_FAST                4 (d)
2022-11-23T02:04:39.2136773Z              138 LOAD_FAST                5 (e)
2022-11-23T02:04:39.2136996Z              140 LOAD_FAST                6 (f)
2022-11-23T02:04:39.2137214Z              142 LOAD_FAST                7 (h)
2022-11-23T02:04:39.2137418Z              144 BUILD_TUPLE              7
2022-11-23T02:04:39.2137598Z              146 RETURN_VALUE
2022-11-23T02:04:39.2137750Z  
2022-11-23T02:04:39.2137777Z 
2022-11-23T02:04:39.2138404Z [2022-11-23 01:55:23,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3397
2022-11-23T02:04:39.2138714Z [2022-11-23 01:55:23,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.2139147Z [2022-11-23 01:55:23,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2139648Z [2022-11-23 01:55:23,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.hardswish_)]
2022-11-23T02:04:39.2140051Z [2022-11-23 01:55:23,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.hardswish_), TensorVariable()]
2022-11-23T02:04:39.2140495Z [2022-11-23 01:55:23,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.hardswish_), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2140887Z [2022-11-23 01:55:23,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.hardswish_), TensorVariable()]
2022-11-23T02:04:39.2141212Z [2022-11-23 01:55:23,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T02:04:39.2141643Z [2022-11-23 01:55:23,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3398
2022-11-23T02:04:39.2141944Z [2022-11-23 01:55:23,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.2142343Z [2022-11-23 01:55:23,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2142689Z [2022-11-23 01:55:23,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.hardtanh_)]
2022-11-23T02:04:39.2143073Z [2022-11-23 01:55:23,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.hardtanh_), TensorVariable()]
2022-11-23T02:04:39.2143520Z [2022-11-23 01:55:23,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.hardtanh_), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2143913Z [2022-11-23 01:55:23,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.hardtanh_), TensorVariable()]
2022-11-23T02:04:39.2144236Z [2022-11-23 01:55:23,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T02:04:39.2144660Z [2022-11-23 01:55:23,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3399
2022-11-23T02:04:39.2144957Z [2022-11-23 01:55:23,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.2145374Z [2022-11-23 01:55:23,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2145724Z [2022-11-23 01:55:23,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.leaky_relu_)]
2022-11-23T02:04:39.2146110Z [2022-11-23 01:55:23,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.leaky_relu_), TensorVariable()]
2022-11-23T02:04:39.2146638Z [2022-11-23 01:55:23,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.leaky_relu_), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2147040Z [2022-11-23 01:55:23,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.leaky_relu_), TensorVariable()]
2022-11-23T02:04:39.2147361Z [2022-11-23 01:55:23,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T02:04:39.2147780Z [2022-11-23 01:55:23,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3400
2022-11-23T02:04:39.2148076Z [2022-11-23 01:55:23,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.2148482Z [2022-11-23 01:55:23,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR silu_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2148825Z [2022-11-23 01:55:23,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.silu_)]
2022-11-23T02:04:39.2149303Z [2022-11-23 01:55:23,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.silu_), TensorVariable()]
2022-11-23T02:04:39.2149744Z [2022-11-23 01:55:23,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.silu_), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2150147Z [2022-11-23 01:55:23,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.silu_), TensorVariable()]
2022-11-23T02:04:39.2150450Z [2022-11-23 01:55:23,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T02:04:39.2150869Z [2022-11-23 01:55:23,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3401
2022-11-23T02:04:39.2151164Z [2022-11-23 01:55:23,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.2151574Z [2022-11-23 01:55:23,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log1p [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2151918Z [2022-11-23 01:55:23,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.log1p)]
2022-11-23T02:04:39.2152300Z [2022-11-23 01:55:23,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.log1p), TensorVariable()]
2022-11-23T02:04:39.2152734Z [2022-11-23 01:55:23,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.log1p), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2153125Z [2022-11-23 01:55:23,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.log1p), TensorVariable()]
2022-11-23T02:04:39.2153450Z [2022-11-23 01:55:23,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T02:04:39.2153876Z [2022-11-23 01:55:23,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3402
2022-11-23T02:04:39.2154159Z [2022-11-23 01:55:23,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.2154581Z [2022-11-23 01:55:23,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2154936Z [2022-11-23 01:55:23,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_)]
2022-11-23T02:04:39.2155322Z [2022-11-23 01:55:23,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T02:04:39.2155768Z [2022-11-23 01:55:23,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.masked_fill_), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2156227Z [2022-11-23 01:55:23,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T02:04:39.2156838Z [2022-11-23 01:55:23,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2157385Z [2022-11-23 01:55:23,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.2157976Z [2022-11-23 01:55:23,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.2158750Z [2022-11-23 01:55:23,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7fa5855aec60>), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2159470Z [2022-11-23 01:55:23,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T02:04:39.2160182Z [2022-11-23 01:55:23,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T02:04:39.2160622Z [2022-11-23 01:55:23,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2161114Z [2022-11-23 01:55:23,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.2161447Z [2022-11-23 01:55:23,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T02:04:39.2161858Z [2022-11-23 01:55:23,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3403
2022-11-23T02:04:39.2162166Z [2022-11-23 01:55:23,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.2162595Z [2022-11-23 01:55:23,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2162953Z [2022-11-23 01:55:23,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_)]
2022-11-23T02:04:39.2163352Z [2022-11-23 01:55:23,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T02:04:39.2163807Z [2022-11-23 01:55:23,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.masked_fill_), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2164210Z [2022-11-23 01:55:23,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T02:04:39.2164820Z [2022-11-23 01:55:23,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2165364Z [2022-11-23 01:55:23,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.2166057Z [2022-11-23 01:55:23,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.2166856Z [2022-11-23 01:55:23,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7fa5855aec60>), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2167522Z [2022-11-23 01:55:23,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T02:04:39.2168235Z [2022-11-23 01:55:23,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T02:04:39.2168750Z [2022-11-23 01:55:23,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2169234Z [2022-11-23 01:55:23,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.2169573Z [2022-11-23 01:55:23,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST h [TensorVariable()]
2022-11-23T02:04:39.2169990Z [2022-11-23 01:55:23,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3404
2022-11-23T02:04:39.2170276Z [2022-11-23 01:55:23,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.2170604Z [2022-11-23 01:55:23,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:39.2170964Z [2022-11-23 01:55:23,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2171360Z [2022-11-23 01:55:23,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2171787Z [2022-11-23 01:55:23,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2172245Z [2022-11-23 01:55:23,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2172741Z [2022-11-23 01:55:23,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST h [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2173294Z [2022-11-23 01:55:23,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 7 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2173616Z [2022-11-23 01:55:23,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2174122Z [2022-11-23 01:55:23,351] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8b050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3396>
2022-11-23T02:04:39.2174458Z [2022-11-23 01:55:23,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2174777Z [2022-11-23 01:55:23,351] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.2175125Z [2022-11-23 01:55:23,355] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.2175570Z [2022-11-23 01:55:23,375] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.2175840Z [2022-11-23 01:55:23,375] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2176542Z  __compiled_fn_208 <eval_with_key>.1709 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2176783Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2177194Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.2177484Z call_function, hardswish_, aten.hardswish_, (add,), {}
2022-11-23T02:04:39.2177897Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.2178124Z call_function, hardtanh_, aten.hardtanh_, (add_1,), {}
2022-11-23T02:04:39.2178374Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.2178541Z call_function, leaky_relu_, aten.leaky_relu_, (add_2,), {}
2022-11-23T02:04:39.2178783Z call_function, add_3, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.2178933Z call_function, silu_, aten.silu_, (add_3,), {}
2022-11-23T02:04:39.2179148Z call_function, add_4, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.2179459Z call_function, log1p, aten.log1p, (add_4,), {}
2022-11-23T02:04:39.2179705Z call_function, add_5, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.2180079Z call_function, zeros_like, <built-in method zeros_like of type object at 0x7fa5855aec60>, (ex_0_,), {'dtype': torch.bool}
2022-11-23T02:04:39.2180275Z call_function, masked_fill_, aten.masked_fill_, (add_5, zeros_like, 99.0), {}
2022-11-23T02:04:39.2180507Z call_function, add_6, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.2180868Z call_function, ones_like, <built-in method ones_like of type object at 0x7fa5855aec60>, (ex_0_,), {'dtype': torch.bool}
2022-11-23T02:04:39.2181064Z call_function, masked_fill__1, aten.masked_fill_, (add_6, ones_like, 99.0), {}
2022-11-23T02:04:39.2181293Z output, output, output, ((hardswish_, hardtanh_, leaky_relu_, silu_, log1p, masked_fill_, masked_fill__1),), {}
2022-11-23T02:04:39.2181319Z 
2022-11-23T02:04:39.2181764Z [2022-11-23 01:55:23,376] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2181901Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2182033Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2182164Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2182300Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2182429Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2182560Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2182654Z              12 RETURN_VALUE
2022-11-23T02:04:39.2182673Z 
2022-11-23T02:04:39.2182764Z  
2022-11-23T02:04:39.2183199Z [2022-11-23 01:55:23,376] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2183359Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_208)
2022-11-23T02:04:39.2183491Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2183628Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2183741Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2183850Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.2184047Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.2184197Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2184327Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2184440Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.2184587Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2184719Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.2184832Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.2185056Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2185185Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.2185298Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.2185447Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2185579Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:39.2185692Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.2185836Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2185945Z              38 LOAD_CONST               5 (4)
2022-11-23T02:04:39.2186057Z              40 BINARY_SUBSCR
2022-11-23T02:04:39.2186199Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2186327Z              44 LOAD_CONST               6 (5)
2022-11-23T02:04:39.2186441Z              46 BINARY_SUBSCR
2022-11-23T02:04:39.2186584Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2186712Z              50 LOAD_CONST               7 (6)
2022-11-23T02:04:39.2186810Z              52 BINARY_SUBSCR
2022-11-23T02:04:39.2186941Z              54 BUILD_TUPLE              7
2022-11-23T02:04:39.2187054Z              56 RETURN_VALUE
2022-11-23T02:04:39.2187074Z 
2022-11-23T02:04:39.2187165Z  
2022-11-23T02:04:39.2187490Z [2022-11-23 01:55:23,378] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2187608Z  - 
2022-11-23T02:04:39.2187783Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2187864Z             {
2022-11-23T02:04:39.2188063Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2188320Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.2188492Z                 'obj_weakref': None
2022-11-23T02:04:39.2188799Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2188897Z             }
2022-11-23T02:04:39.2188991Z             
2022-11-23T02:04:39.2189078Z  - 
2022-11-23T02:04:39.2189260Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2189356Z             {
2022-11-23T02:04:39.2189555Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2189710Z                 'code': None,
2022-11-23T02:04:39.2190002Z                 'obj_weakref': <weakref at 0x7fa550196e30; to 'Tensor' at 0x7fa550268b80>
2022-11-23T02:04:39.2190345Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2190423Z             }
2022-11-23T02:04:39.2190520Z             
2022-11-23T02:04:39.2190628Z  - 
2022-11-23T02:04:39.2190810Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.2190906Z             {
2022-11-23T02:04:39.2191098Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2191333Z                 'code': ['___check_obj_id(model, 140347488474384)'],
2022-11-23T02:04:39.2191483Z                 'obj_weakref': None
2022-11-23T02:04:39.2191793Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.2191894Z             }
2022-11-23T02:04:39.2191987Z             
2022-11-23T02:04:39.2192094Z  - 
2022-11-23T02:04:39.2192264Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2192361Z             {
2022-11-23T02:04:39.2192538Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2192906Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2193074Z                 'obj_weakref': None
2022-11-23T02:04:39.2193379Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2193475Z             }
2022-11-23T02:04:39.2193573Z             
2022-11-23T02:04:39.2193676Z  - 
2022-11-23T02:04:39.2193842Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.2193939Z             {
2022-11-23T02:04:39.2194106Z                 'guard_types': None,
2022-11-23T02:04:39.2194320Z                 'code': None,
2022-11-23T02:04:39.2194485Z                 'obj_weakref': None
2022-11-23T02:04:39.2194654Z                 'guarded_class': None
2022-11-23T02:04:39.2194750Z             }
2022-11-23T02:04:39.2194827Z             
2022-11-23T02:04:39.2194930Z  - 
2022-11-23T02:04:39.2195119Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.2195216Z             {
2022-11-23T02:04:39.2195383Z                 'guard_types': None,
2022-11-23T02:04:39.2195538Z                 'code': None,
2022-11-23T02:04:39.2195688Z                 'obj_weakref': None
2022-11-23T02:04:39.2195858Z                 'guarded_class': None
2022-11-23T02:04:39.2195952Z             }
2022-11-23T02:04:39.2196045Z             
2022-11-23T02:04:39.2196149Z  - 
2022-11-23T02:04:39.2196350Z             global 'torch.bool' CONSTANT_MATCH
2022-11-23T02:04:39.2196446Z             {
2022-11-23T02:04:39.2196626Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.2196847Z                 'code': ["str(torch.bool) == 'torch.bool'"],
2022-11-23T02:04:39.2197023Z                 'obj_weakref': None
2022-11-23T02:04:39.2197328Z                 'guarded_class': <weakref at 0x7fa5bc5e1e40; to 'type' at 0x7fa5855aac80 (dtype)>
2022-11-23T02:04:39.2197423Z             }
2022-11-23T02:04:39.2197569Z             
2022-11-23T02:04:39.2197933Z [2022-11-23 01:55:23,435] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 206
2022-11-23T02:04:39.2198434Z [2022-11-23 01:55:26,059] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pr/cprf7ou5unnsghfz3afhlxiwqqmwzyvd2qgmmee7s7hhzv5t4zdv.py
2022-11-23T02:04:39.2198773Z [2022-11-23 01:55:26,060] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 206
2022-11-23T02:04:39.2198797Z 
2022-11-23T02:04:39.2198933Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2199037Z import torch
2022-11-23T02:04:39.2199145Z import random
2022-11-23T02:04:39.2199309Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2199482Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2199502Z 
2022-11-23T02:04:39.2199618Z aten = torch.ops.aten
2022-11-23T02:04:39.2199807Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2199926Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2199946Z 
2022-11-23T02:04:39.2199965Z 
2022-11-23T02:04:39.2200158Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2200435Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2200602Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.2200745Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.2200885Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.2201022Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:39.2201157Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:39.2201279Z                        float* __restrict__ out_ptr4,
2022-11-23T02:04:39.2201411Z                        float* __restrict__ out_ptr5,
2022-11-23T02:04:39.2201541Z                        float* __restrict__ out_ptr6)
2022-11-23T02:04:39.2201634Z {
2022-11-23T02:04:39.2201781Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2201876Z     {
2022-11-23T02:04:39.2201973Z         #pragma omp for 
2022-11-23T02:04:39.2202092Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:39.2202188Z         {
2022-11-23T02:04:39.2202283Z             {
2022-11-23T02:04:39.2202379Z                 {
2022-11-23T02:04:39.2202514Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.2202663Z                     auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.2202779Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.2202928Z                     auto tmp3 = static_cast<float>(3);
2022-11-23T02:04:39.2203060Z                     auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.2203274Z                     auto tmp5 = static_cast<float>(0.0);
2022-11-23T02:04:39.2203457Z                     auto tmp6 = std::max(tmp4, tmp5);
2022-11-23T02:04:39.2203605Z                     auto tmp7 = static_cast<float>(6.0);
2022-11-23T02:04:39.2203761Z                     auto tmp8 = std::min(tmp6, tmp7);
2022-11-23T02:04:39.2203892Z                     auto tmp9 = tmp2 * tmp8;
2022-11-23T02:04:39.2204022Z                     auto tmp10 = static_cast<float>(6);
2022-11-23T02:04:39.2204157Z                     auto tmp11 = tmp9 / tmp10;
2022-11-23T02:04:39.2204386Z                     auto tmp12 = static_cast<float>(-1.0);
2022-11-23T02:04:39.2204541Z                     auto tmp13 = std::max(tmp2, tmp12);
2022-11-23T02:04:39.2204693Z                     auto tmp14 = static_cast<float>(1.0);
2022-11-23T02:04:39.2204843Z                     auto tmp15 = std::min(tmp13, tmp14);
2022-11-23T02:04:39.2204991Z                     auto tmp16 = static_cast<float>(0);
2022-11-23T02:04:39.2205107Z                     auto tmp17 = tmp2 > tmp16;
2022-11-23T02:04:39.2205266Z                     auto tmp18 = static_cast<float>(0.01);
2022-11-23T02:04:39.2205396Z                     auto tmp19 = tmp2 * tmp18;
2022-11-23T02:04:39.2205621Z                     auto tmp20 = tmp17 ? tmp2 : tmp19;
2022-11-23T02:04:39.2205885Z                     auto tmp21 = std::exp(-tmp2);
2022-11-23T02:04:39.2206026Z                     auto tmp22 = 1 / (1 + tmp21);
2022-11-23T02:04:39.2206159Z                     auto tmp23 = tmp2 * tmp22;
2022-11-23T02:04:39.2206304Z                     auto tmp24 = static_cast<bool>(0);
2022-11-23T02:04:39.2206436Z                     auto tmp25 = static_cast<float>(99.0);
2022-11-23T02:04:39.2206577Z                     auto tmp26 = tmp24 ? tmp25 : tmp2;
2022-11-23T02:04:39.2206726Z                     auto tmp27 = static_cast<bool>(1);
2022-11-23T02:04:39.2206872Z                     auto tmp28 = tmp27 ? tmp25 : tmp2;
2022-11-23T02:04:39.2207005Z                     auto tmp29 = tmp2 + tmp1;
2022-11-23T02:04:39.2207148Z                     auto tmp30 = std::log(tmp29);
2022-11-23T02:04:39.2207274Z                     out_ptr0[i0] = tmp11;
2022-11-23T02:04:39.2207380Z                     out_ptr1[i0] = tmp15;
2022-11-23T02:04:39.2207503Z                     out_ptr2[i0] = tmp20;
2022-11-23T02:04:39.2207630Z                     out_ptr3[i0] = tmp23;
2022-11-23T02:04:39.2207751Z                     out_ptr4[i0] = tmp26;
2022-11-23T02:04:39.2207871Z                     out_ptr5[i0] = tmp28;
2022-11-23T02:04:39.2207991Z                     out_ptr6[i0] = tmp30;
2022-11-23T02:04:39.2208090Z                 }
2022-11-23T02:04:39.2208168Z             }
2022-11-23T02:04:39.2208263Z         }
2022-11-23T02:04:39.2208357Z     }
2022-11-23T02:04:39.2208525Z }
2022-11-23T02:04:39.2208652Z ''')
2022-11-23T02:04:39.2208672Z 
2022-11-23T02:04:39.2208690Z 
2022-11-23T02:04:39.2208824Z async_compile.wait(globals())
2022-11-23T02:04:39.2208934Z del async_compile
2022-11-23T02:04:39.2208953Z 
2022-11-23T02:04:39.2209041Z def call(args):
2022-11-23T02:04:39.2209152Z     arg0_1, = args
2022-11-23T02:04:39.2209259Z     args.clear()
2022-11-23T02:04:39.2209527Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2209795Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2210057Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2210311Z     buf3 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2210565Z     buf4 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2210800Z     buf5 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2211053Z     buf6 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2211435Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()))
2022-11-23T02:04:39.2211621Z     del arg0_1
2022-11-23T02:04:39.2211776Z     return (buf0, buf1, buf2, buf3, buf6, buf4, buf5, )
2022-11-23T02:04:39.2211796Z 
2022-11-23T02:04:39.2211814Z 
2022-11-23T02:04:39.2211936Z if __name__ == "__main__":
2022-11-23T02:04:39.2212100Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2212275Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2212528Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2212685Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.2212705Z 
2022-11-23T02:04:39.2212806Z ok (2.812s)
2022-11-23T02:04:39.2213226Z   test_inplace_add_cpu (__main__.CpuTests) ... [2022-11-23 01:55:26,069] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:39.2213655Z [2022-11-23 01:55:26,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3174
2022-11-23T02:04:39.2224371Z [2022-11-23 01:55:26,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.2225132Z [2022-11-23 01:55:26,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T02:04:39.2225524Z [2022-11-23 01:55:26,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T02:04:39.2225927Z [2022-11-23 01:55:26,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T02:04:39.2226257Z [2022-11-23 01:55:26,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.2226561Z [2022-11-23 01:55:26,071] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:39.2226886Z [2022-11-23 01:55:26,073] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.2227279Z [2022-11-23 01:55:26,077] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T02:04:39.2227630Z [2022-11-23 01:55:26,077] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T02:04:39.2227962Z [2022-11-23 01:55:26,077] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.2228230Z [2022-11-23 01:55:26,078] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2228435Z  __compiled_fn_209 <eval_with_key>.1712 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2228566Z placeholder, x, x, (), {}
2022-11-23T02:04:39.2228692Z placeholder, y, y, (), {}
2022-11-23T02:04:39.2228804Z call_method, add_, add_, (x, y), {}
2022-11-23T02:04:39.2228948Z output, output, output, ((add_,),), {}
2022-11-23T02:04:39.2228970Z 
2022-11-23T02:04:39.2229426Z [2022-11-23 01:55:26,078] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3172 
2022-11-23T02:04:39.2229573Z 3174           0 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2229716Z                2 LOAD_METHOD              0 (add_)
2022-11-23T02:04:39.2229854Z                4 LOAD_FAST                1 (y)
2022-11-23T02:04:39.2229992Z                6 CALL_METHOD              1
2022-11-23T02:04:39.2230086Z                8 RETURN_VALUE
2022-11-23T02:04:39.2230131Z 
2022-11-23T02:04:39.2230207Z  
2022-11-23T02:04:39.2230658Z [2022-11-23 01:55:26,078] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3172 
2022-11-23T02:04:39.2230824Z 3172           0 LOAD_GLOBAL              1 (__compiled_fn_209)
2022-11-23T02:04:39.2230965Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2231104Z                4 LOAD_FAST                1 (y)
2022-11-23T02:04:39.2231243Z                6 CALL_FUNCTION            2
2022-11-23T02:04:39.2231486Z                8 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.2231581Z               10 RETURN_VALUE
2022-11-23T02:04:39.2231600Z 
2022-11-23T02:04:39.2231699Z  
2022-11-23T02:04:39.2231963Z [2022-11-23 01:55:26,079] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2232079Z  - 
2022-11-23T02:04:39.2232256Z             local 'x' TENSOR_MATCH
2022-11-23T02:04:39.2232363Z             {
2022-11-23T02:04:39.2232572Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2232708Z                 'code': None,
2022-11-23T02:04:39.2233002Z                 'obj_weakref': <weakref at 0x7fa524658810; to 'Tensor' at 0x7fa5322da6b0>
2022-11-23T02:04:39.2233355Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2233462Z             }
2022-11-23T02:04:39.2233567Z             
2022-11-23T02:04:39.2233680Z  - 
2022-11-23T02:04:39.2233854Z             local 'y' TENSOR_MATCH
2022-11-23T02:04:39.2233938Z             {
2022-11-23T02:04:39.2234146Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2234306Z                 'code': None,
2022-11-23T02:04:39.2234651Z                 'obj_weakref': <weakref at 0x7fa5320bce50; to 'Tensor' at 0x7fa531fa6750>
2022-11-23T02:04:39.2234996Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2235099Z             }
2022-11-23T02:04:39.2235203Z             
2022-11-23T02:04:39.2235288Z ok (0.018s)
2022-11-23T02:04:39.2235742Z   test_inplace_mixed_dtype_ops_cpu (__main__.CpuTests) ... [2022-11-23 01:55:26,087] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:39.2236176Z [2022-11-23 01:55:26,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3188
2022-11-23T02:04:39.2236474Z [2022-11-23 01:55:26,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.2236816Z [2022-11-23 01:55:26,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:39.2237194Z [2022-11-23 01:55:26,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2237614Z [2022-11-23 01:55:26,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), float)]
2022-11-23T02:04:39.2237985Z [2022-11-23 01:55:26,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2238313Z [2022-11-23 01:55:26,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()]
2022-11-23T02:04:39.2238737Z [2022-11-23 01:55:26,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3189
2022-11-23T02:04:39.2239001Z [2022-11-23 01:55:26,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z []
2022-11-23T02:04:39.2239339Z [2022-11-23 01:55:26,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T02:04:39.2239714Z [2022-11-23 01:55:26,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T02:04:39.2240135Z [2022-11-23 01:55:26,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T02:04:39.2240464Z [2022-11-23 01:55:26,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST w [TensorVariable()]
2022-11-23T02:04:39.2240894Z [2022-11-23 01:55:26,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3190
2022-11-23T02:04:39.2241185Z [2022-11-23 01:55:26,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w []
2022-11-23T02:04:39.2241519Z [2022-11-23 01:55:26,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul_ [TensorVariable()]
2022-11-23T02:04:39.2241972Z [2022-11-23 01:55:26,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), mul_)]
2022-11-23T02:04:39.2242400Z [2022-11-23 01:55:26,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), mul_), TensorVariable()]
2022-11-23T02:04:39.2242715Z [2022-11-23 01:55:26,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.2243040Z [2022-11-23 01:55:26,095] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:39.2243377Z [2022-11-23 01:55:26,097] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.2243709Z [2022-11-23 01:55:26,105] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.2243984Z [2022-11-23 01:55:26,106] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2244189Z  __compiled_fn_210 <eval_with_key>.1718 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2244322Z placeholder, x, x, (), {}
2022-11-23T02:04:39.2244450Z placeholder, y, y, (), {}
2022-11-23T02:04:39.2244564Z call_method, float_1, float, (y,), {}
2022-11-23T02:04:39.2244874Z call_function, add, <built-in function add>, (x, float_1), {}
2022-11-23T02:04:39.2245017Z call_method, add_, add_, (add, y), {}
2022-11-23T02:04:39.2245153Z call_method, mul_, mul_, (add_, y), {}
2022-11-23T02:04:39.2245298Z output, output, output, ((mul_,),), {}
2022-11-23T02:04:39.2245319Z 
2022-11-23T02:04:39.2245766Z [2022-11-23 01:55:26,107] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3186 
2022-11-23T02:04:39.2245912Z 3188           0 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2246051Z                2 LOAD_FAST                1 (y)
2022-11-23T02:04:39.2246170Z                4 LOAD_METHOD              0 (float)
2022-11-23T02:04:39.2246314Z                6 CALL_METHOD              0
2022-11-23T02:04:39.2246429Z                8 BINARY_ADD
2022-11-23T02:04:39.2246567Z               10 STORE_FAST               2 (z)
2022-11-23T02:04:39.2246587Z 
2022-11-23T02:04:39.2246727Z 3189          12 LOAD_FAST                2 (z)
2022-11-23T02:04:39.2246872Z               14 LOAD_METHOD              1 (add_)
2022-11-23T02:04:39.2247006Z               16 LOAD_FAST                1 (y)
2022-11-23T02:04:39.2247117Z               18 CALL_METHOD              1
2022-11-23T02:04:39.2247255Z               20 STORE_FAST               3 (w)
2022-11-23T02:04:39.2247274Z 
2022-11-23T02:04:39.2247410Z 3190          22 LOAD_FAST                3 (w)
2022-11-23T02:04:39.2247556Z               24 LOAD_METHOD              2 (mul_)
2022-11-23T02:04:39.2247697Z               26 LOAD_FAST                1 (y)
2022-11-23T02:04:39.2247831Z               28 CALL_METHOD              1
2022-11-23T02:04:39.2247951Z               30 RETURN_VALUE
2022-11-23T02:04:39.2247974Z 
2022-11-23T02:04:39.2248074Z  
2022-11-23T02:04:39.2248510Z [2022-11-23 01:55:26,107] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3186 
2022-11-23T02:04:39.2248676Z 3186           0 LOAD_GLOBAL              3 (__compiled_fn_210)
2022-11-23T02:04:39.2248814Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2248954Z                4 LOAD_FAST                1 (y)
2022-11-23T02:04:39.2249090Z                6 CALL_FUNCTION            2
2022-11-23T02:04:39.2249233Z                8 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.2249352Z               10 RETURN_VALUE
2022-11-23T02:04:39.2249371Z 
2022-11-23T02:04:39.2249443Z  
2022-11-23T02:04:39.2249713Z [2022-11-23 01:55:26,107] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2249830Z  - 
2022-11-23T02:04:39.2250005Z             local 'x' TENSOR_MATCH
2022-11-23T02:04:39.2250113Z             {
2022-11-23T02:04:39.2250421Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2250582Z                 'code': None,
2022-11-23T02:04:39.2250852Z                 'obj_weakref': <weakref at 0x7fa53200c900; to 'Tensor' at 0x7fa531fa5a80>
2022-11-23T02:04:39.2251214Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2251321Z             }
2022-11-23T02:04:39.2251423Z             
2022-11-23T02:04:39.2251536Z  - 
2022-11-23T02:04:39.2251712Z             local 'y' TENSOR_MATCH
2022-11-23T02:04:39.2251818Z             {
2022-11-23T02:04:39.2251998Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2252157Z                 'code': None,
2022-11-23T02:04:39.2252449Z                 'obj_weakref': <weakref at 0x7fa5320be980; to 'Tensor' at 0x7fa53c4fc2c0>
2022-11-23T02:04:39.2252794Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2252907Z             }
2022-11-23T02:04:39.2253011Z             
2022-11-23T02:04:39.2253380Z [2022-11-23 01:55:26,121] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 207
2022-11-23T02:04:39.2253939Z [2022-11-23 01:55:28,751] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ne/cnerbssiqvt6xcuou3rh4ow44tpw7hbujv4ylnxhx2ijfw346ob6.py
2022-11-23T02:04:39.2254286Z [2022-11-23 01:55:28,752] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 207
2022-11-23T02:04:39.2254329Z 
2022-11-23T02:04:39.2254448Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2254565Z import torch
2022-11-23T02:04:39.2254676Z import random
2022-11-23T02:04:39.2254847Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2255032Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2255053Z 
2022-11-23T02:04:39.2255176Z aten = torch.ops.aten
2022-11-23T02:04:39.2255370Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2255490Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2255509Z 
2022-11-23T02:04:39.2255528Z 
2022-11-23T02:04:39.2255729Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2256021Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2256945Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.2257200Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.2257449Z                        const double* __restrict__ in_ptr1)
2022-11-23T02:04:39.2257596Z {
2022-11-23T02:04:39.2257841Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2257971Z     {
2022-11-23T02:04:39.2258182Z         #pragma omp for 
2022-11-23T02:04:39.2258386Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.2258518Z         {
2022-11-23T02:04:39.2258597Z             {
2022-11-23T02:04:39.2258699Z                 {
2022-11-23T02:04:39.2258849Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.2258986Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:39.2259147Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T02:04:39.2259285Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:39.2259448Z                     auto tmp4 = static_cast<double>(tmp3);
2022-11-23T02:04:39.2259562Z                     auto tmp5 = tmp4 + tmp1;
2022-11-23T02:04:39.2259719Z                     auto tmp6 = static_cast<float>(tmp5);
2022-11-23T02:04:39.2259877Z                     auto tmp7 = static_cast<double>(tmp6);
2022-11-23T02:04:39.2260009Z                     auto tmp8 = tmp7 * tmp1;
2022-11-23T02:04:39.2260166Z                     auto tmp9 = static_cast<float>(tmp8);
2022-11-23T02:04:39.2260303Z                     in_out_ptr0[i0] = tmp9;
2022-11-23T02:04:39.2260410Z                 }
2022-11-23T02:04:39.2260487Z             }
2022-11-23T02:04:39.2260595Z         }
2022-11-23T02:04:39.2260693Z     }
2022-11-23T02:04:39.2260961Z }
2022-11-23T02:04:39.2261126Z ''')
2022-11-23T02:04:39.2261150Z 
2022-11-23T02:04:39.2261168Z 
2022-11-23T02:04:39.2261307Z async_compile.wait(globals())
2022-11-23T02:04:39.2261426Z del async_compile
2022-11-23T02:04:39.2261445Z 
2022-11-23T02:04:39.2261533Z def call(args):
2022-11-23T02:04:39.2261655Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.2261769Z     args.clear()
2022-11-23T02:04:39.2262046Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2262177Z     buf1 = buf0; del buf0  # reuse
2022-11-23T02:04:39.2262412Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()))
2022-11-23T02:04:39.2262520Z     del arg0_1
2022-11-23T02:04:39.2262602Z     del arg1_1
2022-11-23T02:04:39.2262717Z     return (buf1, )
2022-11-23T02:04:39.2262736Z 
2022-11-23T02:04:39.2262755Z 
2022-11-23T02:04:39.2262875Z if __name__ == "__main__":
2022-11-23T02:04:39.2263042Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2263231Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2263508Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2263775Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:39.2264024Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.2264046Z 
2022-11-23T02:04:39.2264134Z ok (2.672s)
2022-11-23T02:04:39.2264567Z   test_input_mutation1_cpu (__main__.CpuTests) ... [2022-11-23 01:55:28,757] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:39.2264998Z [2022-11-23 01:55:28,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3216
2022-11-23T02:04:39.2265375Z [2022-11-23 01:55:28,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.2265704Z [2022-11-23 01:55:28,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:39.2266089Z [2022-11-23 01:55:28,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2266416Z [2022-11-23 01:55:28,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T02:04:39.2266843Z [2022-11-23 01:55:28,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3217
2022-11-23T02:04:39.2267134Z [2022-11-23 01:55:28,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.2267475Z [2022-11-23 01:55:28,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR copy_ [TensorVariable()]
2022-11-23T02:04:39.2267822Z [2022-11-23 01:55:28,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [GetAttrVariable(TensorVariable(), copy_)]
2022-11-23T02:04:39.2268240Z [2022-11-23 01:55:28,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), copy_), TensorVariable()]
2022-11-23T02:04:39.2268574Z [2022-11-23 01:55:28,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T02:04:39.2269000Z [2022-11-23 01:55:28,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3218
2022-11-23T02:04:39.2269293Z [2022-11-23 01:55:28,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.2269619Z [2022-11-23 01:55:28,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:39.2269998Z [2022-11-23 01:55:28,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2270326Z [2022-11-23 01:55:28,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T02:04:39.2270744Z [2022-11-23 01:55:28,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3219
2022-11-23T02:04:39.2271080Z [2022-11-23 01:55:28,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.2271407Z [2022-11-23 01:55:28,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:39.2271799Z [2022-11-23 01:55:28,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2272116Z [2022-11-23 01:55:28,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()]
2022-11-23T02:04:39.2272500Z [2022-11-23 01:55:28,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2272835Z [2022-11-23 01:55:28,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.2273154Z [2022-11-23 01:55:28,767] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:39.2273493Z [2022-11-23 01:55:28,768] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.2273945Z [2022-11-23 01:55:28,774] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T02:04:39.2274311Z [2022-11-23 01:55:28,774] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T02:04:39.2274618Z [2022-11-23 01:55:28,774] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.2274888Z [2022-11-23 01:55:28,775] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2275086Z  __compiled_fn_211 <eval_with_key>.1721 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2275211Z placeholder, a, a, (), {}
2022-11-23T02:04:39.2275446Z call_function, add, <built-in function add>, (a, 1), {}
2022-11-23T02:04:39.2275589Z call_method, copy_, copy_, (a, add), {}
2022-11-23T02:04:39.2275841Z call_function, add_1, <built-in function add>, (a, 2), {}
2022-11-23T02:04:39.2276052Z call_function, mul, <built-in function mul>, (a, add), {}
2022-11-23T02:04:39.2276325Z call_function, truediv, <built-in function truediv>, (mul, add_1), {}
2022-11-23T02:04:39.2276478Z output, output, output, ((truediv,),), {}
2022-11-23T02:04:39.2276498Z 
2022-11-23T02:04:39.2276942Z [2022-11-23 01:55:28,776] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3215 
2022-11-23T02:04:39.2277081Z 3216           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2277220Z                2 LOAD_CONST               1 (1)
2022-11-23T02:04:39.2277338Z                4 BINARY_ADD
2022-11-23T02:04:39.2277475Z                6 STORE_FAST               1 (b)
2022-11-23T02:04:39.2277495Z 
2022-11-23T02:04:39.2277630Z 3217           8 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2277750Z               10 LOAD_METHOD              0 (copy_)
2022-11-23T02:04:39.2277887Z               12 LOAD_FAST                1 (b)
2022-11-23T02:04:39.2278020Z               14 CALL_METHOD              1
2022-11-23T02:04:39.2278133Z               16 POP_TOP
2022-11-23T02:04:39.2278153Z 
2022-11-23T02:04:39.2278288Z 3218          18 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2278426Z               20 LOAD_CONST               2 (2)
2022-11-23T02:04:39.2278543Z               22 BINARY_ADD
2022-11-23T02:04:39.2278652Z               24 STORE_FAST               2 (c)
2022-11-23T02:04:39.2278670Z 
2022-11-23T02:04:39.2278801Z 3219          26 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2278936Z               28 LOAD_FAST                1 (b)
2022-11-23T02:04:39.2279062Z               30 BINARY_MULTIPLY
2022-11-23T02:04:39.2279192Z               32 LOAD_FAST                2 (c)
2022-11-23T02:04:39.2279321Z               34 BINARY_TRUE_DIVIDE
2022-11-23T02:04:39.2279437Z               36 RETURN_VALUE
2022-11-23T02:04:39.2279456Z 
2022-11-23T02:04:39.2279608Z  
2022-11-23T02:04:39.2280055Z [2022-11-23 01:55:28,776] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3215 
2022-11-23T02:04:39.2280219Z 3215           0 LOAD_GLOBAL              1 (__compiled_fn_211)
2022-11-23T02:04:39.2280352Z                2 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2280485Z                4 CALL_FUNCTION            1
2022-11-23T02:04:39.2280626Z                6 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.2280744Z                8 RETURN_VALUE
2022-11-23T02:04:39.2280763Z 
2022-11-23T02:04:39.2280860Z  
2022-11-23T02:04:39.2281094Z [2022-11-23 01:55:28,776] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2281203Z  - 
2022-11-23T02:04:39.2281377Z             local 'a' TENSOR_MATCH
2022-11-23T02:04:39.2281479Z             {
2022-11-23T02:04:39.2281683Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2281841Z                 'code': None,
2022-11-23T02:04:39.2282139Z                 'obj_weakref': <weakref at 0x7fa531ec4680; to 'Tensor' at 0x7fa53c425ee0>
2022-11-23T02:04:39.2282466Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2282623Z             }
2022-11-23T02:04:39.2282727Z             
2022-11-23T02:04:39.2282833Z ok (0.025s)
2022-11-23T02:04:39.2283261Z   test_input_mutation2_cpu (__main__.CpuTests) ... [2022-11-23 01:55:28,782] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:39.2283689Z [2022-11-23 01:55:28,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3239
2022-11-23T02:04:39.2283979Z [2022-11-23 01:55:28,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.2284385Z [2022-11-23 01:55:28,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:39.2284747Z [2022-11-23 01:55:28,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2285075Z [2022-11-23 01:55:28,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T02:04:39.2285504Z [2022-11-23 01:55:28,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3240
2022-11-23T02:04:39.2285805Z [2022-11-23 01:55:28,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.2286143Z [2022-11-23 01:55:28,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:39.2286519Z [2022-11-23 01:55:28,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:39.2286995Z [2022-11-23 01:55:28,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T02:04:39.2287336Z [2022-11-23 01:55:28,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR copy_ [TensorVariable()]
2022-11-23T02:04:39.2287726Z [2022-11-23 01:55:28,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [GetAttrVariable(TensorVariable(), copy_)]
2022-11-23T02:04:39.2288317Z [2022-11-23 01:55:28,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2288853Z [2022-11-23 01:55:28,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 66.0 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.2289407Z [2022-11-23 01:55:28,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(float)]
2022-11-23T02:04:39.2290049Z [2022-11-23 01:55:28,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable()]
2022-11-23T02:04:39.2290668Z [2022-11-23 01:55:28,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.2291290Z [2022-11-23 01:55:28,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T02:04:39.2291955Z [2022-11-23 01:55:28,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:39.2292383Z [2022-11-23 01:55:28,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), copy_), TensorVariable()]
2022-11-23T02:04:39.2292804Z [2022-11-23 01:55:28,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T02:04:39.2293239Z [2022-11-23 01:55:28,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3241
2022-11-23T02:04:39.2293530Z [2022-11-23 01:55:28,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.2293854Z [2022-11-23 01:55:28,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:39.2294239Z [2022-11-23 01:55:28,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2294573Z [2022-11-23 01:55:28,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T02:04:39.2295008Z [2022-11-23 01:55:28,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3242
2022-11-23T02:04:39.2295282Z [2022-11-23 01:55:28,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b []
2022-11-23T02:04:39.2295611Z [2022-11-23 01:55:28,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()]
2022-11-23T02:04:39.2295981Z [2022-11-23 01:55:28,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2297202Z [2022-11-23 01:55:28,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2297538Z [2022-11-23 01:55:28,794] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:39.2297872Z [2022-11-23 01:55:28,796] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.2298279Z [2022-11-23 01:55:28,802] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T02:04:39.2298646Z [2022-11-23 01:55:28,802] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T02:04:39.2298975Z [2022-11-23 01:55:28,802] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.2299218Z [2022-11-23 01:55:28,803] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2299414Z  __compiled_fn_212 <eval_with_key>.1724 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2299540Z placeholder, a, a, (), {}
2022-11-23T02:04:39.2299771Z call_function, add, <built-in function add>, (a, 1), {}
2022-11-23T02:04:39.2299910Z call_method, view, view, (a, 64), {}
2022-11-23T02:04:39.2300283Z call_function, tensor, <built-in method tensor of type object at 0x7fa5855aec60>, ([66.0],), {'device': device(type='cpu')}
2022-11-23T02:04:39.2300631Z call_method, copy_, copy_, (view, tensor), {}
2022-11-23T02:04:39.2300852Z call_function, add_1, <built-in function add>, (a, 2), {}
2022-11-23T02:04:39.2301005Z output, output, output, ((add, add_1),), {}
2022-11-23T02:04:39.2301034Z 
2022-11-23T02:04:39.2301483Z [2022-11-23 01:55:28,803] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3238 
2022-11-23T02:04:39.2301623Z 3239           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2301758Z                2 LOAD_CONST               1 (1)
2022-11-23T02:04:39.2301872Z                4 BINARY_ADD
2022-11-23T02:04:39.2302008Z                6 STORE_FAST               1 (b)
2022-11-23T02:04:39.2302027Z 
2022-11-23T02:04:39.2302160Z 3240           8 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2302301Z               10 LOAD_METHOD              0 (view)
2022-11-23T02:04:39.2302413Z               12 LOAD_CONST               2 (64)
2022-11-23T02:04:39.2302551Z               14 CALL_METHOD              1
2022-11-23T02:04:39.2302693Z               16 LOAD_METHOD              1 (copy_)
2022-11-23T02:04:39.2302828Z               18 LOAD_GLOBAL              2 (torch)
2022-11-23T02:04:39.2303040Z               20 LOAD_ATTR                3 (tensor)
2022-11-23T02:04:39.2303185Z               22 LOAD_CONST               3 (66.0)
2022-11-23T02:04:39.2303314Z               24 BUILD_LIST               1
2022-11-23T02:04:39.2303424Z               26 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2303561Z               28 LOAD_ATTR                4 (device)
2022-11-23T02:04:39.2303782Z               30 LOAD_CONST               4 (('device',))
2022-11-23T02:04:39.2303923Z               32 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.2304054Z               34 CALL_METHOD              1
2022-11-23T02:04:39.2304169Z               36 POP_TOP
2022-11-23T02:04:39.2304189Z 
2022-11-23T02:04:39.2304322Z 3241          38 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2304435Z               40 LOAD_CONST               5 (2)
2022-11-23T02:04:39.2304553Z               42 BINARY_ADD
2022-11-23T02:04:39.2304685Z               44 STORE_FAST               2 (c)
2022-11-23T02:04:39.2304706Z 
2022-11-23T02:04:39.2304836Z 3242          46 LOAD_FAST                1 (b)
2022-11-23T02:04:39.2304966Z               48 LOAD_FAST                2 (c)
2022-11-23T02:04:39.2305100Z               50 BUILD_TUPLE              2
2022-11-23T02:04:39.2305218Z               52 RETURN_VALUE
2022-11-23T02:04:39.2305237Z 
2022-11-23T02:04:39.2305340Z  
2022-11-23T02:04:39.2305764Z [2022-11-23 01:55:28,803] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3238 
2022-11-23T02:04:39.2305922Z 3238           0 LOAD_GLOBAL              5 (__compiled_fn_212)
2022-11-23T02:04:39.2306057Z                2 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2306192Z                4 CALL_FUNCTION            1
2022-11-23T02:04:39.2306350Z                6 STORE_FAST               3 (___graph_out_0)
2022-11-23T02:04:39.2306504Z                8 LOAD_FAST                3 (___graph_out_0)
2022-11-23T02:04:39.2306642Z               10 LOAD_CONST               6 (0)
2022-11-23T02:04:39.2306742Z               12 BINARY_SUBSCR
2022-11-23T02:04:39.2306897Z               14 LOAD_FAST                3 (___graph_out_0)
2022-11-23T02:04:39.2307027Z               16 LOAD_CONST               1 (1)
2022-11-23T02:04:39.2307144Z               18 BINARY_SUBSCR
2022-11-23T02:04:39.2307274Z               20 BUILD_TUPLE              2
2022-11-23T02:04:39.2307392Z               22 RETURN_VALUE
2022-11-23T02:04:39.2307411Z 
2022-11-23T02:04:39.2307516Z  
2022-11-23T02:04:39.2307777Z [2022-11-23 01:55:28,804] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2307866Z  - 
2022-11-23T02:04:39.2308036Z             local 'a' TYPE_MATCH
2022-11-23T02:04:39.2308138Z             {
2022-11-23T02:04:39.2308468Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T02:04:39.2308699Z                 'code': ['___check_type_id(a, 93849142100368)'],
2022-11-23T02:04:39.2308990Z                 'obj_weakref': <weakref at 0x7fa55007aa70; to 'Tensor' at 0x7fa531fa5a80>
2022-11-23T02:04:39.2309342Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2309422Z             }
2022-11-23T02:04:39.2309525Z             
2022-11-23T02:04:39.2309635Z  - 
2022-11-23T02:04:39.2309812Z             local 'a' TENSOR_MATCH
2022-11-23T02:04:39.2309919Z             {
2022-11-23T02:04:39.2310117Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2310275Z                 'code': None,
2022-11-23T02:04:39.2310541Z                 'obj_weakref': <weakref at 0x7fa55007aa70; to 'Tensor' at 0x7fa531fa5a80>
2022-11-23T02:04:39.2310880Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2310988Z             }
2022-11-23T02:04:39.2311088Z             
2022-11-23T02:04:39.2311205Z  - 
2022-11-23T02:04:39.2311398Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.2311501Z             {
2022-11-23T02:04:39.2311711Z                 'guard_types': None,
2022-11-23T02:04:39.2311875Z                 'code': None,
2022-11-23T02:04:39.2312048Z                 'obj_weakref': None
2022-11-23T02:04:39.2312228Z                 'guarded_class': None
2022-11-23T02:04:39.2312334Z             }
2022-11-23T02:04:39.2312433Z             
2022-11-23T02:04:39.2312515Z ok (0.028s)
2022-11-23T02:04:39.2312950Z   test_input_mutation3_cpu (__main__.CpuTests) ... [2022-11-23 01:55:28,810] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:39.2313377Z [2022-11-23 01:55:28,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3256
2022-11-23T02:04:39.2313675Z [2022-11-23 01:55:28,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.2314003Z [2022-11-23 01:55:28,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:39.2314387Z [2022-11-23 01:55:28,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2314715Z [2022-11-23 01:55:28,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T02:04:39.2315138Z [2022-11-23 01:55:28,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3257
2022-11-23T02:04:39.2315425Z [2022-11-23 01:55:28,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.2315757Z [2022-11-23 01:55:28,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:39.2316133Z [2022-11-23 01:55:28,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2316466Z [2022-11-23 01:55:28,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T02:04:39.2316894Z [2022-11-23 01:55:28,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3258
2022-11-23T02:04:39.2317196Z [2022-11-23 01:55:28,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.2317618Z [2022-11-23 01:55:28,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2317967Z [2022-11-23 01:55:28,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.sigmoid_)]
2022-11-23T02:04:39.2318364Z [2022-11-23 01:55:28,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sigmoid_), TensorVariable()]
2022-11-23T02:04:39.2318799Z [2022-11-23 01:55:28,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T02:04:39.2319225Z [2022-11-23 01:55:28,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3259
2022-11-23T02:04:39.2319520Z [2022-11-23 01:55:28,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.2319831Z [2022-11-23 01:55:28,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:39.2320206Z [2022-11-23 01:55:28,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:39.2320629Z [2022-11-23 01:55:28,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T02:04:39.2320966Z [2022-11-23 01:55:28,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T02:04:39.2321397Z [2022-11-23 01:55:28,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3260
2022-11-23T02:04:39.2321682Z [2022-11-23 01:55:28,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.2322068Z [2022-11-23 01:55:28,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T02:04:39.2322460Z [2022-11-23 01:55:28,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2322789Z [2022-11-23 01:55:28,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T02:04:39.2323182Z [2022-11-23 01:55:28,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3261
2022-11-23T02:04:39.2323468Z [2022-11-23 01:55:28,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.2323796Z [2022-11-23 01:55:28,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable()]
2022-11-23T02:04:39.2324194Z [2022-11-23 01:55:28,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2324528Z [2022-11-23 01:55:28,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T02:04:39.2324958Z [2022-11-23 01:55:28,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3262
2022-11-23T02:04:39.2325261Z [2022-11-23 01:55:28,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.2325677Z [2022-11-23 01:55:28,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2326024Z [2022-11-23 01:55:28,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.relu_)]
2022-11-23T02:04:39.2326430Z [2022-11-23 01:55:28,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.relu_), TensorVariable()]
2022-11-23T02:04:39.2326741Z [2022-11-23 01:55:28,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T02:04:39.2327163Z [2022-11-23 01:55:28,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3263
2022-11-23T02:04:39.2327454Z [2022-11-23 01:55:28,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.2327791Z [2022-11-23 01:55:28,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.2328114Z [2022-11-23 01:55:28,839] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:39.2328446Z [2022-11-23 01:55:28,840] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.2328922Z [2022-11-23 01:55:28,846] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T02:04:39.2329294Z [2022-11-23 01:55:28,846] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T02:04:39.2329626Z [2022-11-23 01:55:28,846] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.2329870Z [2022-11-23 01:55:28,847] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2330064Z  __compiled_fn_213 <eval_with_key>.1727 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2330195Z placeholder, a, a, (), {}
2022-11-23T02:04:39.2330436Z call_function, iadd, <built-in function iadd>, (a, 1), {}
2022-11-23T02:04:39.2330686Z call_function, imul, <built-in function imul>, (iadd, 2), {}
2022-11-23T02:04:39.2330857Z call_function, sigmoid_, aten.sigmoid_, (imul,), {}
2022-11-23T02:04:39.2331003Z call_method, view, view, (imul, 64), {}
2022-11-23T02:04:39.2331263Z call_function, iadd_1, <built-in function iadd>, (view, 3), {}
2022-11-23T02:04:39.2331496Z call_function, imul_1, <built-in function imul>, (iadd_1, 4), {}
2022-11-23T02:04:39.2331657Z call_function, relu_, aten.relu_, (imul_1,), {}
2022-11-23T02:04:39.2331871Z output, output, output, ((imul_1,),), {}
2022-11-23T02:04:39.2331896Z 
2022-11-23T02:04:39.2332351Z [2022-11-23 01:55:28,848] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3255 
2022-11-23T02:04:39.2332490Z 3256           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2332632Z                2 LOAD_CONST               1 (1)
2022-11-23T02:04:39.2332752Z                4 INPLACE_ADD
2022-11-23T02:04:39.2332863Z                6 STORE_FAST               0 (a)
2022-11-23T02:04:39.2332907Z 
2022-11-23T02:04:39.2333017Z 3257           8 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2333154Z               10 LOAD_CONST               2 (2)
2022-11-23T02:04:39.2333288Z               12 INPLACE_MULTIPLY
2022-11-23T02:04:39.2333423Z               14 STORE_FAST               0 (a)
2022-11-23T02:04:39.2333442Z 
2022-11-23T02:04:39.2333582Z 3258          16 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.2333732Z               18 LOAD_METHOD              1 (sigmoid_)
2022-11-23T02:04:39.2333869Z               20 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2333980Z               22 CALL_METHOD              1
2022-11-23T02:04:39.2334096Z               24 POP_TOP
2022-11-23T02:04:39.2334116Z 
2022-11-23T02:04:39.2334243Z 3259          26 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2334383Z               28 LOAD_METHOD              2 (view)
2022-11-23T02:04:39.2334523Z               30 LOAD_CONST               3 (64)
2022-11-23T02:04:39.2334656Z               32 CALL_METHOD              1
2022-11-23T02:04:39.2334796Z               34 STORE_FAST               0 (a)
2022-11-23T02:04:39.2334816Z 
2022-11-23T02:04:39.2334951Z 3260          36 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2335065Z               38 LOAD_CONST               4 (3)
2022-11-23T02:04:39.2335183Z               40 INPLACE_ADD
2022-11-23T02:04:39.2335321Z               42 STORE_FAST               0 (a)
2022-11-23T02:04:39.2335340Z 
2022-11-23T02:04:39.2335482Z 3261          44 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2335620Z               46 LOAD_CONST               5 (4)
2022-11-23T02:04:39.2335746Z               48 INPLACE_MULTIPLY
2022-11-23T02:04:39.2335882Z               50 STORE_FAST               0 (a)
2022-11-23T02:04:39.2335901Z 
2022-11-23T02:04:39.2336790Z 3262          52 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.2337019Z               54 LOAD_METHOD              3 (relu_)
2022-11-23T02:04:39.2337238Z               56 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2337458Z               58 CALL_METHOD              1
2022-11-23T02:04:39.2337636Z               60 POP_TOP
2022-11-23T02:04:39.2337666Z 
2022-11-23T02:04:39.2338080Z 3263          62 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2338272Z               64 RETURN_VALUE
2022-11-23T02:04:39.2338298Z 
2022-11-23T02:04:39.2338433Z  
2022-11-23T02:04:39.2338899Z [2022-11-23 01:55:28,848] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3255 
2022-11-23T02:04:39.2339066Z 3255           0 LOAD_GLOBAL              4 (__compiled_fn_213)
2022-11-23T02:04:39.2339199Z                2 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2339336Z                4 CALL_FUNCTION            1
2022-11-23T02:04:39.2339473Z                6 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.2339596Z                8 RETURN_VALUE
2022-11-23T02:04:39.2339615Z 
2022-11-23T02:04:39.2339713Z  
2022-11-23T02:04:39.2339975Z [2022-11-23 01:55:28,848] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2340063Z  - 
2022-11-23T02:04:39.2340238Z             local 'a' TENSOR_MATCH
2022-11-23T02:04:39.2340342Z             {
2022-11-23T02:04:39.2340613Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2340773Z                 'code': None,
2022-11-23T02:04:39.2341067Z                 'obj_weakref': <weakref at 0x7fa550099d00; to 'Tensor' at 0x7fa5322da6b0>
2022-11-23T02:04:39.2341504Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2341592Z             }
2022-11-23T02:04:39.2341697Z             
2022-11-23T02:04:39.2341809Z  - 
2022-11-23T02:04:39.2341997Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.2342102Z             {
2022-11-23T02:04:39.2342278Z                 'guard_types': None,
2022-11-23T02:04:39.2342437Z                 'code': None,
2022-11-23T02:04:39.2342587Z                 'obj_weakref': None
2022-11-23T02:04:39.2342765Z                 'guarded_class': None
2022-11-23T02:04:39.2342869Z             }
2022-11-23T02:04:39.2342969Z             
2022-11-23T02:04:39.2343074Z ok (0.044s)
2022-11-23T02:04:39.2343511Z   test_input_mutation4_cpu (__main__.CpuTests) ... [2022-11-23 01:55:28,853] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:39.2343949Z [2022-11-23 01:55:28,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3276
2022-11-23T02:04:39.2344230Z [2022-11-23 01:55:28,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.2344726Z [2022-11-23 01:55:28,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2345162Z [2022-11-23 01:55:28,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method relu_ of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.2345640Z [2022-11-23 01:55:28,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu_ of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.2345975Z [2022-11-23 01:55:28,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T02:04:39.2346399Z [2022-11-23 01:55:28,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3277
2022-11-23T02:04:39.2346690Z [2022-11-23 01:55:28,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.2347029Z [2022-11-23 01:55:28,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.2347355Z [2022-11-23 01:55:28,856] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:39.2347687Z [2022-11-23 01:55:28,857] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.2348064Z [2022-11-23 01:55:28,859] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T02:04:39.2348490Z [2022-11-23 01:55:28,859] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T02:04:39.2348824Z [2022-11-23 01:55:28,859] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.2349090Z [2022-11-23 01:55:28,860] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2349287Z  __compiled_fn_214 <eval_with_key>.1730 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2349418Z placeholder, a, a, (), {}
2022-11-23T02:04:39.2349721Z call_function, relu_, <built-in method relu_ of type object at 0x7fa5855aec60>, (a,), {}
2022-11-23T02:04:39.2349863Z output, output, output, ((a,),), {}
2022-11-23T02:04:39.2349883Z 
2022-11-23T02:04:39.2350324Z [2022-11-23 01:55:28,860] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3275 
2022-11-23T02:04:39.2350447Z 3276           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2350587Z                2 LOAD_METHOD              1 (relu_)
2022-11-23T02:04:39.2350724Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2350858Z                6 CALL_METHOD              1
2022-11-23T02:04:39.2351021Z                8 POP_TOP
2022-11-23T02:04:39.2351046Z 
2022-11-23T02:04:39.2351189Z 3277          10 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2351308Z               12 RETURN_VALUE
2022-11-23T02:04:39.2351327Z 
2022-11-23T02:04:39.2351423Z  
2022-11-23T02:04:39.2351902Z [2022-11-23 01:55:28,860] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3275 
2022-11-23T02:04:39.2352066Z 3275           0 LOAD_GLOBAL              2 (__compiled_fn_214)
2022-11-23T02:04:39.2352200Z                2 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2352339Z                4 CALL_FUNCTION            1
2022-11-23T02:04:39.2352479Z                6 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.2352605Z                8 RETURN_VALUE
2022-11-23T02:04:39.2352624Z 
2022-11-23T02:04:39.2352721Z  
2022-11-23T02:04:39.2352954Z [2022-11-23 01:55:28,861] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2353068Z  - 
2022-11-23T02:04:39.2353247Z             local 'a' TENSOR_MATCH
2022-11-23T02:04:39.2353353Z             {
2022-11-23T02:04:39.2353554Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2353715Z                 'code': None,
2022-11-23T02:04:39.2354008Z                 'obj_weakref': <weakref at 0x7fa550098450; to 'Tensor' at 0x7fa5320bf100>
2022-11-23T02:04:39.2354332Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2354433Z             }
2022-11-23T02:04:39.2354534Z             
2022-11-23T02:04:39.2354644Z  - 
2022-11-23T02:04:39.2354834Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.2354935Z             {
2022-11-23T02:04:39.2355116Z                 'guard_types': None,
2022-11-23T02:04:39.2355252Z                 'code': None,
2022-11-23T02:04:39.2355423Z                 'obj_weakref': None
2022-11-23T02:04:39.2355601Z                 'guarded_class': None
2022-11-23T02:04:39.2355703Z             }
2022-11-23T02:04:39.2355809Z             
2022-11-23T02:04:39.2355912Z ok (0.012s)
2022-11-23T02:04:39.2356358Z   test_invalid_operand_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:55:29,307] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.2356761Z [2022-11-23 01:55:29,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.2357064Z [2022-11-23 01:55:29,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.2357414Z [2022-11-23 01:55:29,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.2357852Z [2022-11-23 01:55:29,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.2358294Z [2022-11-23 01:55:29,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2358762Z [2022-11-23 01:55:29,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2359198Z [2022-11-23 01:55:29,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2359716Z [2022-11-23 01:55:29,309] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fa640f58710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4466> 
2022-11-23T02:04:39.2359862Z  4467           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2360006Z                2 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.2360121Z                4 LOAD_ATTR                2 (aten)
2022-11-23T02:04:39.2360271Z                6 LOAD_ATTR                3 (slice_scatter)
2022-11-23T02:04:39.2360465Z                8 LOAD_METHOD              4 (default)
2022-11-23T02:04:39.2360487Z 
2022-11-23T02:04:39.2360634Z 4468          10 LOAD_FAST                5 (slice_1)
2022-11-23T02:04:39.2360772Z               12 LOAD_FAST                2 (arg3_1)
2022-11-23T02:04:39.2360904Z               14 LOAD_CONST               1 (1)
2022-11-23T02:04:39.2361038Z               16 LOAD_CONST               1 (1)
2022-11-23T02:04:39.2361183Z               18 LOAD_CONST               2 (9223372036854775807)
2022-11-23T02:04:39.2361203Z 
2022-11-23T02:04:39.2361312Z 4467          20 CALL_METHOD              5
2022-11-23T02:04:39.2361467Z               22 STORE_FAST               6 (slice_scatter)
2022-11-23T02:04:39.2361488Z 
2022-11-23T02:04:39.2361625Z 4470          24 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2361766Z               26 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.2361903Z               28 LOAD_ATTR                2 (aten)
2022-11-23T02:04:39.2362056Z               30 LOAD_ATTR                3 (slice_scatter)
2022-11-23T02:04:39.2362207Z               32 LOAD_METHOD              4 (default)
2022-11-23T02:04:39.2362226Z 
2022-11-23T02:04:39.2362360Z 4471          34 LOAD_FAST                1 (arg1_1)
2022-11-23T02:04:39.2362488Z               36 LOAD_FAST                6 (slice_scatter)
2022-11-23T02:04:39.2362620Z               38 LOAD_CONST               3 (0)
2022-11-23T02:04:39.2362755Z               40 LOAD_CONST               3 (0)
2022-11-23T02:04:39.2362902Z               42 LOAD_CONST               2 (9223372036854775807)
2022-11-23T02:04:39.2362922Z 
2022-11-23T02:04:39.2363054Z 4470          44 CALL_METHOD              5
2022-11-23T02:04:39.2363208Z               46 STORE_FAST               7 (slice_scatter_1)
2022-11-23T02:04:39.2363231Z 
2022-11-23T02:04:39.2363373Z 4473          48 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2363515Z               50 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.2363628Z               52 LOAD_ATTR                2 (aten)
2022-11-23T02:04:39.2363767Z               54 LOAD_ATTR                5 (slice)
2022-11-23T02:04:39.2363903Z               56 LOAD_METHOD              6 (Tensor)
2022-11-23T02:04:39.2363922Z 
2022-11-23T02:04:39.2364071Z 4474          58 LOAD_FAST                7 (slice_scatter_1)
2022-11-23T02:04:39.2364201Z               60 LOAD_CONST               3 (0)
2022-11-23T02:04:39.2364335Z               62 LOAD_CONST               3 (0)
2022-11-23T02:04:39.2364477Z               64 LOAD_CONST               2 (9223372036854775807)
2022-11-23T02:04:39.2364497Z 
2022-11-23T02:04:39.2364627Z 4473          66 CALL_METHOD              4
2022-11-23T02:04:39.2364748Z               68 STORE_FAST               8 (slice_2)
2022-11-23T02:04:39.2364792Z 
2022-11-23T02:04:39.2364969Z 4476          70 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2365109Z               72 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.2365249Z               74 LOAD_ATTR                2 (aten)
2022-11-23T02:04:39.2365401Z               76 LOAD_ATTR                7 (select_scatter)
2022-11-23T02:04:39.2365545Z               78 LOAD_METHOD              4 (default)
2022-11-23T02:04:39.2365565Z 
2022-11-23T02:04:39.2365753Z 4477          80 LOAD_FAST                8 (slice_2)
2022-11-23T02:04:39.2365950Z               82 LOAD_FAST                3 (squeeze)
2022-11-23T02:04:39.2366061Z               84 LOAD_CONST               1 (1)
2022-11-23T02:04:39.2366197Z               86 LOAD_CONST               3 (0)
2022-11-23T02:04:39.2366218Z 
2022-11-23T02:04:39.2366353Z 4476          88 CALL_METHOD              4
2022-11-23T02:04:39.2366512Z               90 STORE_FAST               9 (select_scatter)
2022-11-23T02:04:39.2366531Z 
2022-11-23T02:04:39.2366668Z 4479          92 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2366810Z               94 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.2366950Z               96 LOAD_ATTR                2 (aten)
2022-11-23T02:04:39.2367103Z               98 LOAD_ATTR                3 (slice_scatter)
2022-11-23T02:04:39.2367276Z              100 LOAD_METHOD              4 (default)
2022-11-23T02:04:39.2367297Z 
2022-11-23T02:04:39.2367457Z 4480         102 LOAD_FAST                7 (slice_scatter_1)
2022-11-23T02:04:39.2367613Z              104 LOAD_FAST                9 (select_scatter)
2022-11-23T02:04:39.2367751Z              106 LOAD_CONST               3 (0)
2022-11-23T02:04:39.2367885Z              108 LOAD_CONST               3 (0)
2022-11-23T02:04:39.2368032Z              110 LOAD_CONST               2 (9223372036854775807)
2022-11-23T02:04:39.2368051Z 
2022-11-23T02:04:39.2368187Z 4479         112 CALL_METHOD              5
2022-11-23T02:04:39.2368344Z              114 STORE_FAST              10 (slice_scatter_2)
2022-11-23T02:04:39.2368367Z 
2022-11-23T02:04:39.2368485Z 4482         116 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2368623Z              118 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.2368764Z              120 LOAD_ATTR                2 (aten)
2022-11-23T02:04:39.2368904Z              122 LOAD_ATTR                8 (view)
2022-11-23T02:04:39.2369047Z              124 LOAD_METHOD              4 (default)
2022-11-23T02:04:39.2369200Z              126 LOAD_FAST               10 (slice_scatter_2)
2022-11-23T02:04:39.2369429Z              128 LOAD_CONST               4 (-1)
2022-11-23T02:04:39.2369566Z              130 LOAD_CONST               5 (128)
2022-11-23T02:04:39.2369674Z              132 BUILD_LIST               2
2022-11-23T02:04:39.2369814Z              134 CALL_METHOD              2
2022-11-23T02:04:39.2369954Z              136 STORE_FAST              11 (view)
2022-11-23T02:04:39.2369974Z 
2022-11-23T02:04:39.2370112Z 4483         138 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2370256Z              140 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.2370389Z              142 LOAD_ATTR                2 (aten)
2022-11-23T02:04:39.2370535Z              144 LOAD_ATTR                9 (embedding)
2022-11-23T02:04:39.2370656Z              146 LOAD_METHOD              4 (default)
2022-11-23T02:04:39.2370793Z              148 LOAD_FAST                0 (arg0_1)
2022-11-23T02:04:39.2370925Z              150 LOAD_FAST               11 (view)
2022-11-23T02:04:39.2371057Z              152 LOAD_CONST               1 (1)
2022-11-23T02:04:39.2371189Z              154 CALL_METHOD              3
2022-11-23T02:04:39.2371336Z              156 STORE_FAST              12 (embedding)
2022-11-23T02:04:39.2371356Z 
2022-11-23T02:04:39.2371500Z 4484         158 LOAD_FAST               12 (embedding)
2022-11-23T02:04:39.2371638Z              160 LOAD_FAST                4 (view_1)
2022-11-23T02:04:39.2371745Z              162 BUILD_LIST               2
2022-11-23T02:04:39.2371859Z              164 RETURN_VALUE
2022-11-23T02:04:39.2372045Z  
2022-11-23T02:04:39.2372063Z 
2022-11-23T02:04:39.2372515Z [2022-11-23 01:55:29,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4467
2022-11-23T02:04:39.2372834Z [2022-11-23 01:55:29,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.2373328Z [2022-11-23 01:55:29,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2373733Z [2022-11-23 01:55:29,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.2374168Z [2022-11-23 01:55:29,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2374541Z [2022-11-23 01:55:29,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T02:04:39.2374945Z [2022-11-23 01:55:29,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4468
2022-11-23T02:04:39.2375394Z [2022-11-23 01:55:29,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T02:04:39.2375834Z [2022-11-23 01:55:29,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg3_1 [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T02:04:39.2377005Z [2022-11-23 01:55:29,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2377944Z [2022-11-23 01:55:29,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2378702Z [2022-11-23 01:55:29,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.2379138Z [2022-11-23 01:55:29,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4467
2022-11-23T02:04:39.2379752Z [2022-11-23 01:55:29,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.2380129Z [2022-11-23 01:55:29,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter [TensorVariable()]
2022-11-23T02:04:39.2380581Z [2022-11-23 01:55:29,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4470
2022-11-23T02:04:39.2380892Z [2022-11-23 01:55:29,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.2381451Z [2022-11-23 01:55:29,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2381760Z [2022-11-23 01:55:29,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.2382193Z [2022-11-23 01:55:29,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2382565Z [2022-11-23 01:55:29,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T02:04:39.2382988Z [2022-11-23 01:55:29,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4471
2022-11-23T02:04:39.2383559Z [2022-11-23 01:55:29,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg1_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T02:04:39.2383998Z [2022-11-23 01:55:29,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T02:04:39.2384511Z [2022-11-23 01:55:29,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2385011Z [2022-11-23 01:55:29,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2385588Z [2022-11-23 01:55:29,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.2386013Z [2022-11-23 01:55:29,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4470
2022-11-23T02:04:39.2386686Z [2022-11-23 01:55:29,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.2387060Z [2022-11-23 01:55:29,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter_1 [TensorVariable()]
2022-11-23T02:04:39.2387461Z [2022-11-23 01:55:29,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4473
2022-11-23T02:04:39.2387764Z [2022-11-23 01:55:29,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.2388249Z [2022-11-23 01:55:29,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2388650Z [2022-11-23 01:55:29,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.2389065Z [2022-11-23 01:55:29,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2389422Z [2022-11-23 01:55:29,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.slice)]
2022-11-23T02:04:39.2389845Z [2022-11-23 01:55:29,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4474
2022-11-23T02:04:39.2390235Z [2022-11-23 01:55:29,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_1 [TorchVariable(aten.slice.Tensor)]
2022-11-23T02:04:39.2390632Z [2022-11-23 01:55:29,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice.Tensor), TensorVariable()]
2022-11-23T02:04:39.2391082Z [2022-11-23 01:55:29,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2391599Z [2022-11-23 01:55:29,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.2392001Z [2022-11-23 01:55:29,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4473
2022-11-23T02:04:39.2392553Z [2022-11-23 01:55:29,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.2392896Z [2022-11-23 01:55:29,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_2 [TensorVariable()]
2022-11-23T02:04:39.2393394Z [2022-11-23 01:55:29,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4476
2022-11-23T02:04:39.2393701Z [2022-11-23 01:55:29,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.2394192Z [2022-11-23 01:55:29,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2394589Z [2022-11-23 01:55:29,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.2395022Z [2022-11-23 01:55:29,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2395394Z [2022-11-23 01:55:29,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.select_scatter)]
2022-11-23T02:04:39.2395826Z [2022-11-23 01:55:29,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4477
2022-11-23T02:04:39.2396270Z [2022-11-23 01:55:29,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_2 [TorchVariable(aten.select_scatter.default)]
2022-11-23T02:04:39.2396755Z [2022-11-23 01:55:29,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST squeeze [TorchVariable(aten.select_scatter.default), TensorVariable()]
2022-11-23T02:04:39.2397218Z [2022-11-23 01:55:29,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2397717Z [2022-11-23 01:55:29,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2398146Z [2022-11-23 01:55:29,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4476
2022-11-23T02:04:39.2398719Z [2022-11-23 01:55:29,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.2399082Z [2022-11-23 01:55:29,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST select_scatter [TensorVariable()]
2022-11-23T02:04:39.2399512Z [2022-11-23 01:55:29,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4479
2022-11-23T02:04:39.2399812Z [2022-11-23 01:55:29,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.2400307Z [2022-11-23 01:55:29,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2400716Z [2022-11-23 01:55:29,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.2401150Z [2022-11-23 01:55:29,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2401527Z [2022-11-23 01:55:29,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T02:04:39.2401936Z [2022-11-23 01:55:29,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4480
2022-11-23T02:04:39.2402344Z [2022-11-23 01:55:29,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T02:04:39.2402790Z [2022-11-23 01:55:29,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST select_scatter [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T02:04:39.2403331Z [2022-11-23 01:55:29,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2403848Z [2022-11-23 01:55:29,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2404435Z [2022-11-23 01:55:29,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.2404860Z [2022-11-23 01:55:29,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4479
2022-11-23T02:04:39.2405465Z [2022-11-23 01:55:29,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.2405831Z [2022-11-23 01:55:29,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter_2 [TensorVariable()]
2022-11-23T02:04:39.2406333Z [2022-11-23 01:55:29,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4482
2022-11-23T02:04:39.2406647Z [2022-11-23 01:55:29,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.2407136Z [2022-11-23 01:55:29,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2407508Z [2022-11-23 01:55:29,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.2407919Z [2022-11-23 01:55:29,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2408280Z [2022-11-23 01:55:29,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.view)]
2022-11-23T02:04:39.2408675Z [2022-11-23 01:55:29,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_2 [TorchVariable(aten.view.default)]
2022-11-23T02:04:39.2409091Z [2022-11-23 01:55:29,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(aten.view.default), TensorVariable()]
2022-11-23T02:04:39.2409543Z [2022-11-23 01:55:29,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 128 [TorchVariable(aten.view.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2410049Z [2022-11-23 01:55:29,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.view.default), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.2410494Z [2022-11-23 01:55:29,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view.default), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.2410842Z [2022-11-23 01:55:29,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view [TensorVariable()]
2022-11-23T02:04:39.2411280Z [2022-11-23 01:55:29,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4483
2022-11-23T02:04:39.2411579Z [2022-11-23 01:55:29,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.2412046Z [2022-11-23 01:55:29,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2412443Z [2022-11-23 01:55:29,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.2412878Z [2022-11-23 01:55:29,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR embedding [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2413331Z [2022-11-23 01:55:29,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.embedding)]
2022-11-23T02:04:39.2413729Z [2022-11-23 01:55:29,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg0_1 [TorchVariable(aten.embedding.default)]
2022-11-23T02:04:39.2414147Z [2022-11-23 01:55:29,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view [TorchVariable(aten.embedding.default), TensorVariable()]
2022-11-23T02:04:39.2414611Z [2022-11-23 01:55:29,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.embedding.default), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2415120Z [2022-11-23 01:55:29,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.embedding.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2415470Z [2022-11-23 01:55:29,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST embedding [TensorVariable()]
2022-11-23T02:04:39.2415969Z [2022-11-23 01:55:29,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4484
2022-11-23T02:04:39.2417025Z [2022-11-23 01:55:29,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST embedding []
2022-11-23T02:04:39.2417580Z [2022-11-23 01:55:29,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_1 [TensorVariable()]
2022-11-23T02:04:39.2418153Z [2022-11-23 01:55:29,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2418508Z [2022-11-23 01:55:29,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T02:04:39.2419032Z [2022-11-23 01:55:29,392] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fa640f58710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4466>
2022-11-23T02:04:39.2419376Z [2022-11-23 01:55:29,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T02:04:39.2419704Z [2022-11-23 01:55:29,393] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.2420056Z [2022-11-23 01:55:29,402] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.2420398Z [2022-11-23 01:55:29,415] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.2420664Z [2022-11-23 01:55:29,416] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2420835Z  __compiled_fn_215 <eval_with_key>.1736 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2420970Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2421105Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.2421241Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.2421374Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T02:04:39.2421503Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T02:04:39.2421737Z call_function, slice_scatter_default, aten.slice_scatter.default, (ex_5_, ex_2_, 1, 1, 9223372036854775807), {}
2022-11-23T02:04:39.2421979Z call_function, slice_scatter_default_1, aten.slice_scatter.default, (ex_1_, slice_scatter_default, 0, 0, 9223372036854775807), {}
2022-11-23T02:04:39.2422210Z call_function, slice_tensor, aten.slice.Tensor, (slice_scatter_default_1, 0, 0, 9223372036854775807), {}
2022-11-23T02:04:39.2422451Z call_function, select_scatter_default, aten.select_scatter.default, (slice_tensor, ex_3_, 1, 0), {}
2022-11-23T02:04:39.2422737Z call_function, slice_scatter_default_2, aten.slice_scatter.default, (slice_scatter_default_1, select_scatter_default, 0, 0, 9223372036854775807), {}
2022-11-23T02:04:39.2423063Z call_function, view_default, aten.view.default, (slice_scatter_default_2, [-1, 128]), {}
2022-11-23T02:04:39.2423294Z call_function, embedding_default, aten.embedding.default, (ex_0_, view_default, 1), {}
2022-11-23T02:04:39.2423744Z output, output, output, ((embedding_default,),), {}
2022-11-23T02:04:39.2423814Z 
2022-11-23T02:04:39.2424266Z [2022-11-23 01:55:29,417] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2424412Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2424548Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2424581Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2424726Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2424861Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2425001Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2425122Z              12 RETURN_VALUE
2022-11-23T02:04:39.2425142Z 
2022-11-23T02:04:39.2425239Z  
2022-11-23T02:04:39.2425686Z [2022-11-23 01:55:29,417] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2425829Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_215)
2022-11-23T02:04:39.2425966Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2426182Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2426315Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2426449Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2426583Z              10 LOAD_CONST               3 (1)
2022-11-23T02:04:39.2426700Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.2426808Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2426942Z              16 LOAD_CONST               4 (2)
2022-11-23T02:04:39.2427059Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.2427193Z              20 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2427328Z              22 LOAD_CONST               5 (3)
2022-11-23T02:04:39.2427441Z              24 BINARY_SUBSCR
2022-11-23T02:04:39.2427577Z              26 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2427685Z              28 LOAD_CONST               6 (5)
2022-11-23T02:04:39.2427802Z              30 BINARY_SUBSCR
2022-11-23T02:04:39.2427934Z              32 CALL_FUNCTION            5
2022-11-23T02:04:39.2428095Z              34 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.2428247Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2428382Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2428501Z              40 BINARY_SUBSCR
2022-11-23T02:04:39.2428642Z              42 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2428751Z              44 LOAD_CONST               2 (4)
2022-11-23T02:04:39.2428867Z              46 BINARY_SUBSCR
2022-11-23T02:04:39.2428995Z              48 BUILD_LIST               2
2022-11-23T02:04:39.2429112Z              50 RETURN_VALUE
2022-11-23T02:04:39.2429132Z 
2022-11-23T02:04:39.2429230Z  
2022-11-23T02:04:39.2429503Z [2022-11-23 01:55:29,418] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2429616Z  - 
2022-11-23T02:04:39.2429764Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2429866Z             {
2022-11-23T02:04:39.2430068Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2430332Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 6'],
2022-11-23T02:04:39.2430510Z                 'obj_weakref': None
2022-11-23T02:04:39.2430824Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2430927Z             }
2022-11-23T02:04:39.2431004Z             
2022-11-23T02:04:39.2431114Z  - 
2022-11-23T02:04:39.2431293Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2431397Z             {
2022-11-23T02:04:39.2431605Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2431764Z                 'code': None,
2022-11-23T02:04:39.2432058Z                 'obj_weakref': <weakref at 0x7fa55009b240; to 'Tensor' at 0x7fa5320bf100>
2022-11-23T02:04:39.2432447Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2432549Z             }
2022-11-23T02:04:39.2432653Z             
2022-11-23T02:04:39.2432766Z  - 
2022-11-23T02:04:39.2432949Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.2433050Z             {
2022-11-23T02:04:39.2433251Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2433385Z                 'code': None,
2022-11-23T02:04:39.2433670Z                 'obj_weakref': <weakref at 0x7fa6237e2ac0; to 'Tensor' at 0x7fa6237e1c60>
2022-11-23T02:04:39.2434017Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2434118Z             }
2022-11-23T02:04:39.2434218Z             
2022-11-23T02:04:39.2434325Z  - 
2022-11-23T02:04:39.2434502Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.2434584Z             {
2022-11-23T02:04:39.2434785Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2434942Z                 'code': None,
2022-11-23T02:04:39.2435231Z                 'obj_weakref': <weakref at 0x7fa53200fce0; to 'Tensor' at 0x7fa53200c5e0>
2022-11-23T02:04:39.2435617Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2435764Z             }
2022-11-23T02:04:39.2435883Z             
2022-11-23T02:04:39.2435919Z  - 
2022-11-23T02:04:39.2436155Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T02:04:39.2436207Z             {
2022-11-23T02:04:39.2436409Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2436567Z                 'code': None,
2022-11-23T02:04:39.2436863Z                 'obj_weakref': <weakref at 0x7fa53c375df0; to 'Tensor' at 0x7fa550078720>
2022-11-23T02:04:39.2437206Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2437287Z             }
2022-11-23T02:04:39.2437388Z             
2022-11-23T02:04:39.2437501Z  - 
2022-11-23T02:04:39.2437679Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T02:04:39.2437782Z             {
2022-11-23T02:04:39.2437987Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2438147Z                 'code': None,
2022-11-23T02:04:39.2438413Z                 'obj_weakref': <weakref at 0x7fa531fa5a80; to 'Tensor' at 0x7fa5500785e0>
2022-11-23T02:04:39.2438753Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2438854Z             }
2022-11-23T02:04:39.2438957Z             
2022-11-23T02:04:39.2439063Z  - 
2022-11-23T02:04:39.2439240Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T02:04:39.2439340Z             {
2022-11-23T02:04:39.2439519Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2439676Z                 'code': None,
2022-11-23T02:04:39.2439962Z                 'obj_weakref': <weakref at 0x7fa550078130; to 'Tensor' at 0x7fa550098220>
2022-11-23T02:04:39.2440302Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2440455Z             }
2022-11-23T02:04:39.2440515Z             
2022-11-23T02:04:39.2440658Z  - 
2022-11-23T02:04:39.2440791Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.2440893Z             {
2022-11-23T02:04:39.2441081Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2441319Z                 'code': ['___check_obj_id(model, 140347486169568)'],
2022-11-23T02:04:39.2441492Z                 'obj_weakref': None
2022-11-23T02:04:39.2441838Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.2441909Z             }
2022-11-23T02:04:39.2441986Z             
2022-11-23T02:04:39.2442098Z  - 
2022-11-23T02:04:39.2442348Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2442452Z             {
2022-11-23T02:04:39.2442650Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2442984Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2443126Z                 'obj_weakref': None
2022-11-23T02:04:39.2443411Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2443518Z             }
2022-11-23T02:04:39.2443618Z             
2022-11-23T02:04:39.2443727Z  - 
2022-11-23T02:04:39.2443915Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.2444020Z             {
2022-11-23T02:04:39.2444204Z                 'guard_types': None,
2022-11-23T02:04:39.2444329Z                 'code': None,
2022-11-23T02:04:39.2444563Z                 'obj_weakref': None
2022-11-23T02:04:39.2444742Z                 'guarded_class': None
2022-11-23T02:04:39.2444845Z             }
2022-11-23T02:04:39.2444956Z             
2022-11-23T02:04:39.2445315Z [2022-11-23 01:55:29,443] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 208
2022-11-23T02:04:39.2445867Z [2022-11-23 01:55:32,076] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gy/cgyxo6m5jzgvogiykkzj5uztp7ky3mxknlrug5h6ukcuax6k3wz7.py
2022-11-23T02:04:39.2446218Z [2022-11-23 01:55:32,076] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 208
2022-11-23T02:04:39.2446264Z 
2022-11-23T02:04:39.2446386Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2446497Z import torch
2022-11-23T02:04:39.2446651Z import random
2022-11-23T02:04:39.2446821Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2446957Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2446976Z 
2022-11-23T02:04:39.2447144Z aten = torch.ops.aten
2022-11-23T02:04:39.2447325Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2447442Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2447442Z 
2022-11-23T02:04:39.2447475Z 
2022-11-23T02:04:39.2447650Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2447959Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2448127Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.2448264Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:39.2448429Z                        const long* __restrict__ in_ptr2,
2022-11-23T02:04:39.2448569Z                        const float* __restrict__ in_ptr3,
2022-11-23T02:04:39.2448717Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.2448793Z {
2022-11-23T02:04:39.2448940Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2449042Z     {
2022-11-23T02:04:39.2449204Z         #pragma omp for 
2022-11-23T02:04:39.2449333Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.2449391Z         {
2022-11-23T02:04:39.2449519Z             #pragma GCC ivdep
2022-11-23T02:04:39.2449628Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T02:04:39.2449734Z             {
2022-11-23T02:04:39.2449858Z                 #pragma GCC ivdep
2022-11-23T02:04:39.2449996Z                 for(long i2=0; i2<768; i2+=1)
2022-11-23T02:04:39.2450100Z                 {
2022-11-23T02:04:39.2450206Z                     {
2022-11-23T02:04:39.2450290Z                         {
2022-11-23T02:04:39.2450438Z                             auto tmp3 = in_ptr0[i0];
2022-11-23T02:04:39.2450597Z                             auto tmp8 = in_ptr2[i1 + (128*i0)];
2022-11-23T02:04:39.2450793Z                             auto tmp0 = static_cast<int>(i1);
2022-11-23T02:04:39.2450952Z                             auto tmp1 = static_cast<int>(0);
2022-11-23T02:04:39.2451067Z                             auto tmp2 = tmp0 == tmp1;
2022-11-23T02:04:39.2451222Z                             auto tmp4 = static_cast<int>(1);
2022-11-23T02:04:39.2451469Z                             auto tmp5 = tmp0 >= tmp4;
2022-11-23T02:04:39.2451574Z                             auto tmp6 = 0;
2022-11-23T02:04:39.2451697Z                             if(tmp5)
2022-11-23T02:04:39.2451808Z                             {
2022-11-23T02:04:39.2452119Z                                 auto tmp7 = in_ptr1[(-1) + i1 + (127*i0)];
2022-11-23T02:04:39.2452215Z                                 tmp6 = tmp7;
2022-11-23T02:04:39.2452323Z                             }
2022-11-23T02:04:39.2452477Z                             auto tmp9 = tmp5 ? tmp6 : tmp8;
2022-11-23T02:04:39.2452607Z                             auto tmp10 = tmp2 ? tmp3 : tmp9;
2022-11-23T02:04:39.2452769Z                             auto tmp11 = in_ptr3[i2 + (768*tmp10)];
2022-11-23T02:04:39.2452927Z                             out_ptr0[i2 + (768*i1) + (98304*i0)] = tmp11;
2022-11-23T02:04:39.2453031Z                         }
2022-11-23T02:04:39.2453132Z                     }
2022-11-23T02:04:39.2453251Z                 }
2022-11-23T02:04:39.2453367Z             }
2022-11-23T02:04:39.2453420Z         }
2022-11-23T02:04:39.2453520Z     }
2022-11-23T02:04:39.2453625Z }
2022-11-23T02:04:39.2453755Z ''')
2022-11-23T02:04:39.2453775Z 
2022-11-23T02:04:39.2453793Z 
2022-11-23T02:04:39.2453931Z async_compile.wait(globals())
2022-11-23T02:04:39.2454145Z del async_compile
2022-11-23T02:04:39.2454166Z 
2022-11-23T02:04:39.2454285Z def call(args):
2022-11-23T02:04:39.2454412Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1 = args
2022-11-23T02:04:39.2454575Z     args.clear()
2022-11-23T02:04:39.2454838Z     buf0 = empty_strided((8, 128, 768), (98304, 768, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2455140Z     kernel_cpp_0(c_void_p(arg3_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.2455249Z     del arg0_1
2022-11-23T02:04:39.2455354Z     del arg2_1
2022-11-23T02:04:39.2455460Z     del arg3_1
2022-11-23T02:04:39.2455541Z     del arg4_1
2022-11-23T02:04:39.2455707Z     return (buf0, )
2022-11-23T02:04:39.2455707Z 
2022-11-23T02:04:39.2455747Z 
2022-11-23T02:04:39.2455840Z if __name__ == "__main__":
2022-11-23T02:04:39.2455990Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2456672Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2457196Z     arg0_1 = rand_strided((50005, 768), (768, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2457658Z     arg1_1 = rand_strided((8, 128), (128, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.2458095Z     arg2_1 = rand_strided((8, 127), (127, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.2458448Z     arg3_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.2458839Z     arg4_1 = rand_strided((8, 128), (128, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.2459070Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1]))
2022-11-23T02:04:39.2459115Z 
2022-11-23T02:04:39.2459202Z ok (3.228s)
2022-11-23T02:04:39.2459746Z   test_isinf2_cpu (__main__.CpuTests) ... [2022-11-23 01:55:32,095] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.2460210Z [2022-11-23 01:55:32,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.2460514Z [2022-11-23 01:55:32,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.2460867Z [2022-11-23 01:55:32,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.2461250Z [2022-11-23 01:55:32,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.2461683Z [2022-11-23 01:55:32,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2462125Z [2022-11-23 01:55:32,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2462729Z [2022-11-23 01:55:32,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2463241Z [2022-11-23 01:55:32,097] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3371> 
2022-11-23T02:04:39.2463391Z  3372           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2463530Z                2 LOAD_ATTR                1 (tensor)
2022-11-23T02:04:39.2463551Z 
2022-11-23T02:04:39.2463689Z 3373           4 LOAD_CONST               1 (1)
2022-11-23T02:04:39.2463833Z                6 LOAD_GLOBAL              2 (float)
2022-11-23T02:04:39.2464034Z                8 LOAD_CONST               2 ('inf')
2022-11-23T02:04:39.2464173Z               10 CALL_FUNCTION            1
2022-11-23T02:04:39.2464290Z               12 LOAD_CONST               3 (2)
2022-11-23T02:04:39.2464429Z               14 LOAD_GLOBAL              2 (float)
2022-11-23T02:04:39.2464638Z               16 LOAD_CONST               4 ('-inf')
2022-11-23T02:04:39.2464846Z               18 CALL_FUNCTION            1
2022-11-23T02:04:39.2464992Z               20 LOAD_GLOBAL              2 (float)
2022-11-23T02:04:39.2465187Z               22 LOAD_CONST               5 ('nan')
2022-11-23T02:04:39.2465322Z               24 CALL_FUNCTION            1
2022-11-23T02:04:39.2465427Z               26 BUILD_LIST               5
2022-11-23T02:04:39.2465563Z               28 LOAD_DEREF               0 (self)
2022-11-23T02:04:39.2465703Z               30 LOAD_ATTR                3 (device)
2022-11-23T02:04:39.2465723Z 
2022-11-23T02:04:39.2465945Z 3372          32 LOAD_CONST               6 (('device',))
2022-11-23T02:04:39.2466081Z               34 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.2466223Z               36 STORE_FAST               1 (y)
2022-11-23T02:04:39.2466242Z 
2022-11-23T02:04:39.2466378Z 3375          38 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2466511Z               40 LOAD_FAST                1 (y)
2022-11-23T02:04:39.2466631Z               42 COMPARE_OP               2 (==)
2022-11-23T02:04:39.2466755Z               44 RETURN_VALUE
2022-11-23T02:04:39.2466849Z  
2022-11-23T02:04:39.2466867Z 
2022-11-23T02:04:39.2467305Z [2022-11-23 01:55:32,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3372
2022-11-23T02:04:39.2467611Z [2022-11-23 01:55:32,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.2468106Z [2022-11-23 01:55:32,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2468532Z [2022-11-23 01:55:32,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3373
2022-11-23T02:04:39.2468980Z [2022-11-23 01:55:32,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.2469471Z [2022-11-23 01:55:32,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int)]
2022-11-23T02:04:39.2470008Z [2022-11-23 01:55:32,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int), BuiltinVariable(float)]
2022-11-23T02:04:39.2470571Z [2022-11-23 01:55:32,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T02:04:39.2471171Z [2022-11-23 01:55:32,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T02:04:39.2471765Z [2022-11-23 01:55:32,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T02:04:39.2472408Z [2022-11-23 01:55:32,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -inf [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), BuiltinVariable(float)]
2022-11-23T02:04:39.2473083Z [2022-11-23 01:55:32,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T02:04:39.2473782Z [2022-11-23 01:55:32,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T02:04:39.2474472Z [2022-11-23 01:55:32,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST nan [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), BuiltinVariable(float)]
2022-11-23T02:04:39.2475218Z [2022-11-23 01:55:32,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T02:04:39.2475913Z [2022-11-23 01:55:32,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 5 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T02:04:39.2476395Z [2022-11-23 01:55:32,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable()]
2022-11-23T02:04:39.2476969Z [2022-11-23 01:55:32,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), UserDefinedObjectVariable(CpuTests)]
2022-11-23T02:04:39.2477400Z [2022-11-23 01:55:32,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3372
2022-11-23T02:04:39.2477938Z [2022-11-23 01:55:32,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), ConstantVariable(str)]
2022-11-23T02:04:39.2478530Z [2022-11-23 01:55:32,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:39.2478864Z [2022-11-23 01:55:32,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST y [TensorVariable()]
2022-11-23T02:04:39.2479298Z [2022-11-23 01:55:32,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3375
2022-11-23T02:04:39.2479594Z [2022-11-23 01:55:32,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.2479895Z [2022-11-23 01:55:32,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:39.2480265Z [2022-11-23 01:55:32,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2480733Z [2022-11-23 01:55:32,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.2481267Z [2022-11-23 01:55:32,105] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3371>
2022-11-23T02:04:39.2481605Z [2022-11-23 01:55:32,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.2481930Z [2022-11-23 01:55:32,105] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.2482285Z [2022-11-23 01:55:32,107] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.2482634Z [2022-11-23 01:55:32,113] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.2482905Z [2022-11-23 01:55:32,113] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2483079Z  __compiled_fn_216 <eval_with_key>.1742 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2483218Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2483661Z call_function, tensor, <built-in method tensor of type object at 0x7fa5855aec60>, ([1, inf, 2, -inf, nan],), {'device': 'cpu'}
2022-11-23T02:04:39.2483927Z call_function, eq, <built-in function eq>, (ex_0_, tensor), {}
2022-11-23T02:04:39.2484071Z output, output, output, ((eq,),), {}
2022-11-23T02:04:39.2484095Z 
2022-11-23T02:04:39.2484630Z [2022-11-23 01:55:32,114] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2484769Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2484907Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2485041Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2485162Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2485292Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2485424Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2485543Z              12 RETURN_VALUE
2022-11-23T02:04:39.2485567Z 
2022-11-23T02:04:39.2485667Z  
2022-11-23T02:04:39.2486107Z [2022-11-23 01:55:32,114] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2486271Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_216)
2022-11-23T02:04:39.2486385Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2486525Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2486643Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2486787Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.2486943Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.2487137Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:39.2487280Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:39.2487410Z              16 CALL_FUNCTION            0
2022-11-23T02:04:39.2487533Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:39.2487681Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2487818Z              22 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2487943Z              24 BINARY_SUBSCR
2022-11-23T02:04:39.2488084Z              26 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2488235Z              28 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:39.2488371Z              30 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2488466Z              32 BINARY_SUBSCR
2022-11-23T02:04:39.2488618Z              34 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:39.2488758Z              36 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2488970Z              38 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:39.2489106Z              40 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2489224Z              42 BINARY_SUBSCR
2022-11-23T02:04:39.2489374Z              44 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:39.2489473Z              46 RETURN_VALUE
2022-11-23T02:04:39.2489493Z 
2022-11-23T02:04:39.2489596Z  
2022-11-23T02:04:39.2489870Z [2022-11-23 01:55:32,116] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2489987Z  - 
2022-11-23T02:04:39.2490161Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2490267Z             {
2022-11-23T02:04:39.2490477Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2490714Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.2490890Z                 'obj_weakref': None
2022-11-23T02:04:39.2491202Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2491310Z             }
2022-11-23T02:04:39.2491410Z             
2022-11-23T02:04:39.2491521Z  - 
2022-11-23T02:04:39.2491702Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2491781Z             {
2022-11-23T02:04:39.2492050Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2492220Z                 'code': None,
2022-11-23T02:04:39.2492516Z                 'obj_weakref': <weakref at 0x7fa53c377920; to 'Tensor' at 0x7fa6237e1c60>
2022-11-23T02:04:39.2492867Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2492969Z             }
2022-11-23T02:04:39.2493072Z             
2022-11-23T02:04:39.2493160Z  - 
2022-11-23T02:04:39.2493346Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.2493447Z             {
2022-11-23T02:04:39.2493644Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2493882Z                 'code': ['___check_obj_id(model, 140347487649600)'],
2022-11-23T02:04:39.2494063Z                 'obj_weakref': None
2022-11-23T02:04:39.2494380Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.2494460Z             }
2022-11-23T02:04:39.2494562Z             
2022-11-23T02:04:39.2494675Z  - 
2022-11-23T02:04:39.2494856Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2494959Z             {
2022-11-23T02:04:39.2495165Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2495467Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2495615Z                 'obj_weakref': None
2022-11-23T02:04:39.2495921Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2496019Z             }
2022-11-23T02:04:39.2496627Z             
2022-11-23T02:04:39.2496812Z  - 
2022-11-23T02:04:39.2497237Z             local 'model.__closure__[0].cell_contents' TYPE_MATCH
2022-11-23T02:04:39.2497408Z             {
2022-11-23T02:04:39.2497717Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T02:04:39.2498158Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849178510624)'],
2022-11-23T02:04:39.2498470Z                 'obj_weakref': <weakref at 0x7fa550522de0; to 'CpuTests' at 0x7fa6237dcbb0>
2022-11-23T02:04:39.2498787Z                 'guarded_class': <weakref at 0x7fa62bb931a0; to 'type' at 0x555af6f29520 (CpuTests)>
2022-11-23T02:04:39.2498888Z             }
2022-11-23T02:04:39.2498991Z             
2022-11-23T02:04:39.2499101Z  - 
2022-11-23T02:04:39.2499376Z             local 'model.__closure__[0].cell_contents.device' CONSTANT_MATCH
2022-11-23T02:04:39.2499454Z             {
2022-11-23T02:04:39.2499655Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.2500071Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents.device, 93849050095808)', "model.__closure__[0].cell_contents.device == 'cpu'"],
2022-11-23T02:04:39.2500451Z                 'obj_weakref': None
2022-11-23T02:04:39.2500812Z                 'guarded_class': <weakref at 0x7fa6421fd080; to 'type' at 0x555aef4b20c0 (str)>
2022-11-23T02:04:39.2500913Z             }
2022-11-23T02:04:39.2501023Z             
2022-11-23T02:04:39.2501111Z  - 
2022-11-23T02:04:39.2501300Z             global 'float' BUILTIN_MATCH
2022-11-23T02:04:39.2501400Z             {
2022-11-23T02:04:39.2501571Z                 'guard_types': None,
2022-11-23T02:04:39.2501723Z                 'code': None,
2022-11-23T02:04:39.2501895Z                 'obj_weakref': None
2022-11-23T02:04:39.2502069Z                 'guarded_class': None
2022-11-23T02:04:39.2502146Z             }
2022-11-23T02:04:39.2502247Z             
2022-11-23T02:04:39.2502355Z  - 
2022-11-23T02:04:39.2502543Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.2502645Z             {
2022-11-23T02:04:39.2502820Z                 'guard_types': None,
2022-11-23T02:04:39.2502961Z                 'code': None,
2022-11-23T02:04:39.2503131Z                 'obj_weakref': None
2022-11-23T02:04:39.2503308Z                 'guarded_class': None
2022-11-23T02:04:39.2503412Z             }
2022-11-23T02:04:39.2503515Z             
2022-11-23T02:04:39.2503954Z [2022-11-23 01:55:32,125] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 209
2022-11-23T02:04:39.2504468Z [2022-11-23 01:55:34,751] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yp/cypsk6j7eqnvtawwxzxrv5vxcqlu3kdpbxsvl7coiwybt2xndcwq.py
2022-11-23T02:04:39.2504836Z [2022-11-23 01:55:34,751] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 209
2022-11-23T02:04:39.2504857Z 
2022-11-23T02:04:39.2504977Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2505089Z import torch
2022-11-23T02:04:39.2505199Z import random
2022-11-23T02:04:39.2505370Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2505555Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2505576Z 
2022-11-23T02:04:39.2505761Z aten = torch.ops.aten
2022-11-23T02:04:39.2505956Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2506071Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2506119Z 
2022-11-23T02:04:39.2506138Z 
2022-11-23T02:04:39.2506311Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2506595Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2506768Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.2506918Z                        bool* __restrict__ out_ptr0)
2022-11-23T02:04:39.2507019Z {
2022-11-23T02:04:39.2507139Z     #pragma GCC ivdep
2022-11-23T02:04:39.2507266Z     for(long i0=0; i0<5; i0+=1)
2022-11-23T02:04:39.2507340Z     {
2022-11-23T02:04:39.2507441Z         {
2022-11-23T02:04:39.2507543Z             {
2022-11-23T02:04:39.2507677Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.2507835Z                 auto tmp1 = static_cast<long>(i0);
2022-11-23T02:04:39.2507980Z                 auto tmp2 = static_cast<long>(2);
2022-11-23T02:04:39.2508108Z                 auto tmp3 = tmp1 < tmp2;
2022-11-23T02:04:39.2508232Z                 auto tmp4 = static_cast<long>(1);
2022-11-23T02:04:39.2508365Z                 auto tmp5 = tmp1 < tmp4;
2022-11-23T02:04:39.2508519Z                 auto tmp6 = static_cast<float>(1.0);
2022-11-23T02:04:39.2508753Z                 auto tmp7 = std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.2508898Z                 auto tmp8 = tmp5 ? tmp6 : tmp7;
2022-11-23T02:04:39.2509041Z                 auto tmp9 = static_cast<long>(3);
2022-11-23T02:04:39.2509173Z                 auto tmp10 = tmp1 < tmp9;
2022-11-23T02:04:39.2509301Z                 auto tmp11 = static_cast<float>(2.0);
2022-11-23T02:04:39.2509453Z                 auto tmp12 = static_cast<long>(4);
2022-11-23T02:04:39.2509587Z                 auto tmp13 = tmp1 < tmp12;
2022-11-23T02:04:39.2509995Z                 auto tmp14 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.2510173Z                 auto tmp15 = std::numeric_limits<float>::quiet_NaN();
2022-11-23T02:04:39.2510322Z                 auto tmp16 = tmp13 ? tmp14 : tmp15;
2022-11-23T02:04:39.2510473Z                 auto tmp17 = tmp10 ? tmp11 : tmp16;
2022-11-23T02:04:39.2510617Z                 auto tmp18 = tmp3 ? tmp8 : tmp17;
2022-11-23T02:04:39.2510730Z                 auto tmp19 = tmp0 == tmp18;
2022-11-23T02:04:39.2510857Z                 out_ptr0[i0] = tmp19;
2022-11-23T02:04:39.2510963Z             }
2022-11-23T02:04:39.2511064Z         }
2022-11-23T02:04:39.2511167Z     }
2022-11-23T02:04:39.2511266Z }
2022-11-23T02:04:39.2511367Z ''')
2022-11-23T02:04:39.2511410Z 
2022-11-23T02:04:39.2511428Z 
2022-11-23T02:04:39.2511543Z async_compile.wait(globals())
2022-11-23T02:04:39.2511657Z del async_compile
2022-11-23T02:04:39.2511677Z 
2022-11-23T02:04:39.2511788Z def call(args):
2022-11-23T02:04:39.2511901Z     arg0_1, = args
2022-11-23T02:04:39.2512013Z     args.clear()
2022-11-23T02:04:39.2512281Z     buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.2512474Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.2512612Z     del arg0_1
2022-11-23T02:04:39.2512730Z     return (buf0, )
2022-11-23T02:04:39.2512749Z 
2022-11-23T02:04:39.2512767Z 
2022-11-23T02:04:39.2512885Z if __name__ == "__main__":
2022-11-23T02:04:39.2513056Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2513234Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2513512Z     arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2513678Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.2513697Z 
2022-11-23T02:04:39.2513813Z ok (2.662s)
2022-11-23T02:04:39.2514203Z   test_isinf_cpu (__main__.CpuTests) ... [2022-11-23 01:55:34,757] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.2514637Z [2022-11-23 01:55:34,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.2514950Z [2022-11-23 01:55:34,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.2515299Z [2022-11-23 01:55:34,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.2515677Z [2022-11-23 01:55:34,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.2516109Z [2022-11-23 01:55:34,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2516578Z [2022-11-23 01:55:34,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2517019Z [2022-11-23 01:55:34,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2517530Z [2022-11-23 01:55:34,758] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8ab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354> 
2022-11-23T02:04:39.2517673Z  3355           0 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2517792Z                2 LOAD_METHOD              0 (isinf)
2022-11-23T02:04:39.2517926Z                4 CALL_METHOD              0
2022-11-23T02:04:39.2518064Z                6 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2518210Z                8 LOAD_METHOD              1 (isnan)
2022-11-23T02:04:39.2518346Z               10 CALL_METHOD              0
2022-11-23T02:04:39.2518477Z               12 BUILD_TUPLE              2
2022-11-23T02:04:39.2518595Z               14 RETURN_VALUE
2022-11-23T02:04:39.2518752Z  
2022-11-23T02:04:39.2518796Z 
2022-11-23T02:04:39.2519210Z [2022-11-23 01:55:34,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3355
2022-11-23T02:04:39.2519505Z [2022-11-23 01:55:34,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.2519848Z [2022-11-23 01:55:34,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable()]
2022-11-23T02:04:39.2520226Z [2022-11-23 01:55:34,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T02:04:39.2520553Z [2022-11-23 01:55:34,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T02:04:39.2520929Z [2022-11-23 01:55:34,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isnan [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2521352Z [2022-11-23 01:55:34,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isnan)]
2022-11-23T02:04:39.2521725Z [2022-11-23 01:55:34,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2522116Z [2022-11-23 01:55:34,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2522613Z [2022-11-23 01:55:34,765] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8ab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354>
2022-11-23T02:04:39.2522955Z [2022-11-23 01:55:34,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2523276Z [2022-11-23 01:55:34,765] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.2523625Z [2022-11-23 01:55:34,767] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.2523966Z [2022-11-23 01:55:34,772] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.2524316Z [2022-11-23 01:55:34,772] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2524522Z  __compiled_fn_217 <eval_with_key>.1748 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2524657Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2524801Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T02:04:39.2524916Z call_method, isnan, isnan, (ex_0_,), {}
2022-11-23T02:04:39.2525073Z output, output, output, ((isinf, isnan),), {}
2022-11-23T02:04:39.2525093Z 
2022-11-23T02:04:39.2525531Z [2022-11-23 01:55:34,773] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2525673Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2525810Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2525940Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2526084Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2526215Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2526328Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2526447Z              12 RETURN_VALUE
2022-11-23T02:04:39.2526470Z 
2022-11-23T02:04:39.2526567Z  
2022-11-23T02:04:39.2527011Z [2022-11-23 01:55:34,773] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2527173Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_217)
2022-11-23T02:04:39.2527312Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2527450Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2527546Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2527681Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.2527846Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.2528093Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2528229Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2528346Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.2528495Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2528613Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.2528735Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.2528867Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.2528987Z              26 RETURN_VALUE
2022-11-23T02:04:39.2529010Z 
2022-11-23T02:04:39.2529110Z  
2022-11-23T02:04:39.2529376Z [2022-11-23 01:55:34,775] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2529496Z  - 
2022-11-23T02:04:39.2529670Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2529751Z             {
2022-11-23T02:04:39.2529954Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2530217Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.2530399Z                 'obj_weakref': None
2022-11-23T02:04:39.2530710Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2530816Z             }
2022-11-23T02:04:39.2530968Z             
2022-11-23T02:04:39.2531062Z  - 
2022-11-23T02:04:39.2531248Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2531349Z             {
2022-11-23T02:04:39.2531553Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2531712Z                 'code': None,
2022-11-23T02:04:39.2532008Z                 'obj_weakref': <weakref at 0x7fa53222de40; to 'Tensor' at 0x7fa531f4c3b0>
2022-11-23T02:04:39.2532357Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2532435Z             }
2022-11-23T02:04:39.2532538Z             
2022-11-23T02:04:39.2532649Z  - 
2022-11-23T02:04:39.2532835Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.2532940Z             {
2022-11-23T02:04:39.2533137Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2533374Z                 'code': ['___check_obj_id(model, 140347657468320)'],
2022-11-23T02:04:39.2533524Z                 'obj_weakref': None
2022-11-23T02:04:39.2533845Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.2533946Z             }
2022-11-23T02:04:39.2534046Z             
2022-11-23T02:04:39.2534156Z  - 
2022-11-23T02:04:39.2534333Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2534411Z             {
2022-11-23T02:04:39.2534602Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2534902Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2535070Z                 'obj_weakref': None
2022-11-23T02:04:39.2535383Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2535489Z             }
2022-11-23T02:04:39.2535592Z             
2022-11-23T02:04:39.2535951Z [2022-11-23 01:55:34,784] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 210
2022-11-23T02:04:39.2537446Z [2022-11-23 01:55:37,334] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rc/crcavuoitozqy4hynlcjkxtejjaz655iss2z76m7sjlon3asnrty.py
2022-11-23T02:04:39.2538107Z [2022-11-23 01:55:37,335] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 210
2022-11-23T02:04:39.2538562Z [2022-11-23 01:55:37,339] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.2538995Z [2022-11-23 01:55:37,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.2539299Z [2022-11-23 01:55:37,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.2539825Z [2022-11-23 01:55:37,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.2540207Z [2022-11-23 01:55:37,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.2540646Z [2022-11-23 01:55:37,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2541118Z [2022-11-23 01:55:37,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2541558Z [2022-11-23 01:55:37,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2542036Z [2022-11-23 01:55:37,340] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8ab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354> 
2022-11-23T02:04:39.2542183Z  3355           0 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2542327Z                2 LOAD_METHOD              0 (isinf)
2022-11-23T02:04:39.2542463Z                4 CALL_METHOD              0
2022-11-23T02:04:39.2542674Z                6 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2542822Z                8 LOAD_METHOD              1 (isnan)
2022-11-23T02:04:39.2542958Z               10 CALL_METHOD              0
2022-11-23T02:04:39.2543093Z               12 BUILD_TUPLE              2
2022-11-23T02:04:39.2543187Z               14 RETURN_VALUE
2022-11-23T02:04:39.2543284Z  
2022-11-23T02:04:39.2543304Z 
2022-11-23T02:04:39.2543736Z [2022-11-23 01:55:37,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3355
2022-11-23T02:04:39.2544031Z [2022-11-23 01:55:37,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.2544372Z [2022-11-23 01:55:37,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable()]
2022-11-23T02:04:39.2544753Z [2022-11-23 01:55:37,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T02:04:39.2545080Z [2022-11-23 01:55:37,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T02:04:39.2545451Z [2022-11-23 01:55:37,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isnan [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2545871Z [2022-11-23 01:55:37,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isnan)]
2022-11-23T02:04:39.2546214Z [2022-11-23 01:55:37,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2546547Z [2022-11-23 01:55:37,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2547065Z [2022-11-23 01:55:37,347] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8ab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354>
2022-11-23T02:04:39.2547413Z [2022-11-23 01:55:37,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2547741Z [2022-11-23 01:55:37,347] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.2548096Z [2022-11-23 01:55:37,348] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.2548437Z [2022-11-23 01:55:37,354] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.2548703Z [2022-11-23 01:55:37,354] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2548899Z  __compiled_fn_218 <eval_with_key>.1754 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2549011Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2549225Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T02:04:39.2549364Z call_method, isnan, isnan, (ex_0_,), {}
2022-11-23T02:04:39.2549523Z output, output, output, ((isinf, isnan),), {}
2022-11-23T02:04:39.2549543Z 
2022-11-23T02:04:39.2549994Z [2022-11-23 01:55:37,355] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2550132Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2550265Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2550394Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2550510Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2550632Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2550760Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2550872Z              12 RETURN_VALUE
2022-11-23T02:04:39.2550892Z 
2022-11-23T02:04:39.2550989Z  
2022-11-23T02:04:39.2551435Z [2022-11-23 01:55:37,355] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2551591Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_218)
2022-11-23T02:04:39.2551779Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2551898Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2552014Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2552145Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.2552296Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.2552445Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2552577Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2552692Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.2552818Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2552946Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.2553066Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.2553195Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.2553306Z              26 RETURN_VALUE
2022-11-23T02:04:39.2553325Z 
2022-11-23T02:04:39.2553418Z  
2022-11-23T02:04:39.2553679Z [2022-11-23 01:55:37,356] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2553768Z  - 
2022-11-23T02:04:39.2553941Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2554036Z             {
2022-11-23T02:04:39.2554233Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2554491Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.2554667Z                 'obj_weakref': None
2022-11-23T02:04:39.2554974Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2555054Z             }
2022-11-23T02:04:39.2555153Z             
2022-11-23T02:04:39.2555259Z  - 
2022-11-23T02:04:39.2555440Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2555539Z             {
2022-11-23T02:04:39.2555739Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2555895Z                 'code': None,
2022-11-23T02:04:39.2556167Z                 'obj_weakref': <weakref at 0x7fa53c43f4c0; to 'Tensor' at 0x7fa61a790f40>
2022-11-23T02:04:39.2556512Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2556610Z             }
2022-11-23T02:04:39.2556708Z             
2022-11-23T02:04:39.2556816Z  - 
2022-11-23T02:04:39.2557002Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.2557097Z             {
2022-11-23T02:04:39.2557267Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2557498Z                 'code': ['___check_obj_id(model, 140347657468320)'],
2022-11-23T02:04:39.2557671Z                 'obj_weakref': None
2022-11-23T02:04:39.2557983Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.2558151Z             }
2022-11-23T02:04:39.2558249Z             
2022-11-23T02:04:39.2558357Z  - 
2022-11-23T02:04:39.2558510Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2558608Z             {
2022-11-23T02:04:39.2558807Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2559106Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2559278Z                 'obj_weakref': None
2022-11-23T02:04:39.2559580Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2559685Z             }
2022-11-23T02:04:39.2559761Z             
2022-11-23T02:04:39.2560113Z [2022-11-23 01:55:37,365] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 211
2022-11-23T02:04:39.2560610Z [2022-11-23 01:55:39,972] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a7/ca7n5hynogyzlkowfiicdwg4lagmssggiq4i74ujd6rsojj3rj5o.py
2022-11-23T02:04:39.2560972Z [2022-11-23 01:55:39,972] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 211
2022-11-23T02:04:39.2560994Z 
2022-11-23T02:04:39.2561191Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2561301Z import torch
2022-11-23T02:04:39.2561406Z import random
2022-11-23T02:04:39.2561571Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2561724Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2561744Z 
2022-11-23T02:04:39.2561863Z aten = torch.ops.aten
2022-11-23T02:04:39.2562052Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2562189Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2562209Z 
2022-11-23T02:04:39.2562229Z 
2022-11-23T02:04:39.2562430Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2562712Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2562891Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.2563040Z                        bool* __restrict__ out_ptr0,
2022-11-23T02:04:39.2563158Z                        bool* __restrict__ out_ptr1)
2022-11-23T02:04:39.2563255Z {
2022-11-23T02:04:39.2563380Z     #pragma GCC ivdep
2022-11-23T02:04:39.2563508Z     for(long i0=0; i0<5; i0+=1)
2022-11-23T02:04:39.2563607Z     {
2022-11-23T02:04:39.2563709Z         {
2022-11-23T02:04:39.2563810Z             {
2022-11-23T02:04:39.2563920Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.2564099Z                 auto tmp1 = std::isinf(tmp0);
2022-11-23T02:04:39.2564249Z                 auto tmp2 = std::isnan(tmp0);
2022-11-23T02:04:39.2564382Z                 out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.2564508Z                 out_ptr1[i0] = tmp2;
2022-11-23T02:04:39.2564612Z             }
2022-11-23T02:04:39.2564712Z         }
2022-11-23T02:04:39.2564787Z     }
2022-11-23T02:04:39.2564885Z }
2022-11-23T02:04:39.2565014Z ''')
2022-11-23T02:04:39.2565034Z 
2022-11-23T02:04:39.2565052Z 
2022-11-23T02:04:39.2565190Z async_compile.wait(globals())
2022-11-23T02:04:39.2565303Z del async_compile
2022-11-23T02:04:39.2565323Z 
2022-11-23T02:04:39.2565437Z def call(args):
2022-11-23T02:04:39.2565552Z     arg0_1, = args
2022-11-23T02:04:39.2565641Z     args.clear()
2022-11-23T02:04:39.2565910Z     buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.2566167Z     buf1 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.2566398Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.2566506Z     del arg0_1
2022-11-23T02:04:39.2566628Z     return (buf0, buf1, )
2022-11-23T02:04:39.2566648Z 
2022-11-23T02:04:39.2566667Z 
2022-11-23T02:04:39.2566788Z if __name__ == "__main__":
2022-11-23T02:04:39.2566954Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2567178Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2567452Z     arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2567615Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.2567634Z 
2022-11-23T02:04:39.2567652Z 
2022-11-23T02:04:39.2567797Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2567906Z import torch
2022-11-23T02:04:39.2568020Z import random
2022-11-23T02:04:39.2568190Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2568343Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2568386Z 
2022-11-23T02:04:39.2568484Z aten = torch.ops.aten
2022-11-23T02:04:39.2568672Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2568810Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2568830Z 
2022-11-23T02:04:39.2568848Z 
2022-11-23T02:04:39.2569048Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2569330Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2569517Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T02:04:39.2569661Z                        bool* __restrict__ out_ptr0,
2022-11-23T02:04:39.2569860Z                        bool* __restrict__ out_ptr1)
2022-11-23T02:04:39.2569941Z {
2022-11-23T02:04:39.2570062Z     #pragma GCC ivdep
2022-11-23T02:04:39.2570187Z     for(long i0=0; i0<5; i0+=1)
2022-11-23T02:04:39.2570287Z     {
2022-11-23T02:04:39.2570389Z         {
2022-11-23T02:04:39.2570489Z             {
2022-11-23T02:04:39.2570599Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.2570748Z                 auto tmp1 = std::isinf(tmp0);
2022-11-23T02:04:39.2570889Z                 auto tmp2 = std::isnan(tmp0);
2022-11-23T02:04:39.2571018Z                 out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.2571142Z                 out_ptr1[i0] = tmp2;
2022-11-23T02:04:39.2571244Z             }
2022-11-23T02:04:39.2571343Z         }
2022-11-23T02:04:39.2571421Z     }
2022-11-23T02:04:39.2571514Z }
2022-11-23T02:04:39.2571640Z ''')
2022-11-23T02:04:39.2571659Z 
2022-11-23T02:04:39.2571677Z 
2022-11-23T02:04:39.2571814Z async_compile.wait(globals())
2022-11-23T02:04:39.2571926Z del async_compile
2022-11-23T02:04:39.2571945Z 
2022-11-23T02:04:39.2572060Z def call(args):
2022-11-23T02:04:39.2572169Z     arg0_1, = args
2022-11-23T02:04:39.2572257Z     args.clear()
2022-11-23T02:04:39.2572530Z     buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.2572786Z     buf1 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.2573016Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.2573125Z     del arg0_1
2022-11-23T02:04:39.2573248Z     return (buf0, buf1, )
2022-11-23T02:04:39.2573267Z 
2022-11-23T02:04:39.2573285Z 
2022-11-23T02:04:39.2573407Z if __name__ == "__main__":
2022-11-23T02:04:39.2573574Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2573734Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2574007Z     arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T02:04:39.2574167Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.2574191Z 
2022-11-23T02:04:39.2574297Z ok (5.221s)
2022-11-23T02:04:39.2574716Z   test_kwargs_cpu (__main__.CpuTests) ... [2022-11-23 01:55:39,979] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.2575150Z [2022-11-23 01:55:39,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.2575454Z [2022-11-23 01:55:39,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.2575799Z [2022-11-23 01:55:39,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.2576815Z [2022-11-23 01:55:39,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.2577801Z [2022-11-23 01:55:39,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2578489Z [2022-11-23 01:55:39,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2578940Z [2022-11-23 01:55:39,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2579443Z [2022-11-23 01:55:39,981] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f594d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4623> 
2022-11-23T02:04:39.2579594Z  4624           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2579749Z                2 LOAD_ATTR                1 (histogramdd)
2022-11-23T02:04:39.2579773Z 
2022-11-23T02:04:39.2579912Z 4625           4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2579931Z 
2022-11-23T02:04:39.2580070Z 4626           6 LOAD_CONST               1 (3)
2022-11-23T02:04:39.2580288Z                8 LOAD_CONST               1 (3)
2022-11-23T02:04:39.2580432Z               10 BUILD_LIST               2
2022-11-23T02:04:39.2580452Z 
2022-11-23T02:04:39.2580562Z 4627          12 LOAD_FAST                1 (y)
2022-11-23T02:04:39.2580581Z 
2022-11-23T02:04:39.2580824Z 4624          14 LOAD_CONST               2 (('bins', 'weight'))
2022-11-23T02:04:39.2580961Z               16 CALL_FUNCTION_KW         3
2022-11-23T02:04:39.2581080Z               18 RETURN_VALUE
2022-11-23T02:04:39.2581178Z  
2022-11-23T02:04:39.2581197Z 
2022-11-23T02:04:39.2581619Z [2022-11-23 01:55:39,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4624
2022-11-23T02:04:39.2581929Z [2022-11-23 01:55:39,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.2582436Z [2022-11-23 01:55:39,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR histogramdd [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2582860Z [2022-11-23 01:55:39,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4625
2022-11-23T02:04:39.2583285Z [2022-11-23 01:55:39,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method histogramdd of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.2583711Z [2022-11-23 01:55:39,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4626
2022-11-23T02:04:39.2584246Z [2022-11-23 01:55:39,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method histogramdd of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.2584846Z [2022-11-23 01:55:39,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method histogramdd of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2585432Z [2022-11-23 01:55:39,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<built-in method histogramdd of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.2585861Z [2022-11-23 01:55:39,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4627
2022-11-23T02:04:39.2586373Z [2022-11-23 01:55:39,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method histogramdd of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.2586791Z [2022-11-23 01:55:39,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4624
2022-11-23T02:04:39.2587463Z [2022-11-23 01:55:39,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('bins', 'weight') [TorchVariable(<built-in method histogramdd of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.2588088Z [2022-11-23 01:55:39,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method histogramdd of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:39.2588440Z [2022-11-23 01:55:39,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T02:04:39.2588956Z [2022-11-23 01:55:39,991] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f594d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4623>
2022-11-23T02:04:39.2589306Z [2022-11-23 01:55:39,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T02:04:39.2589605Z [2022-11-23 01:55:39,991] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.2590006Z [2022-11-23 01:55:39,993] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.2590356Z [2022-11-23 01:55:40,018] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.2590623Z [2022-11-23 01:55:40,019] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2590822Z  __compiled_fn_219 <eval_with_key>.1760 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2590960Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2591093Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.2591494Z call_function, histogramdd, <built-in method histogramdd of type object at 0x7fa5855aec60>, (ex_0_,), {'bins': [3, 3], 'weight': ex_1_}
2022-11-23T02:04:39.2591755Z call_function, getitem, <built-in function getitem>, (histogramdd, 0), {}
2022-11-23T02:04:39.2592039Z call_function, getitem_1, <built-in function getitem>, (histogramdd, 1), {}
2022-11-23T02:04:39.2592307Z call_function, getitem_2, <built-in function getitem>, (getitem_1, 0), {}
2022-11-23T02:04:39.2592572Z call_function, getitem_3, <built-in function getitem>, (getitem_1, 1), {}
2022-11-23T02:04:39.2592756Z output, output, output, ((getitem, getitem_2, getitem_3),), {}
2022-11-23T02:04:39.2592778Z 
2022-11-23T02:04:39.2593219Z [2022-11-23 01:55:40,019] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2593361Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2593494Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2593623Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2593739Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2593870Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2594000Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2594116Z              12 RETURN_VALUE
2022-11-23T02:04:39.2594135Z 
2022-11-23T02:04:39.2594232Z  
2022-11-23T02:04:39.2594669Z [2022-11-23 01:55:40,019] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2594827Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_219)
2022-11-23T02:04:39.2594940Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2595076Z               4 LOAD_CONST               2 (0)
2022-11-23T02:04:39.2595190Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2595318Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2595443Z              10 LOAD_CONST               3 (1)
2022-11-23T02:04:39.2595555Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.2595747Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.2595896Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.2596165Z              18 LOAD_CONST               1 (<class 'torch.return_types.histogramdd'>)
2022-11-23T02:04:39.2596317Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2596447Z              22 LOAD_CONST               2 (0)
2022-11-23T02:04:39.2596563Z              24 BINARY_SUBSCR
2022-11-23T02:04:39.2596706Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2596840Z              28 LOAD_CONST               3 (1)
2022-11-23T02:04:39.2596956Z              30 BINARY_SUBSCR
2022-11-23T02:04:39.2597081Z              32 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2597211Z              34 LOAD_CONST               4 (2)
2022-11-23T02:04:39.2597323Z              36 BINARY_SUBSCR
2022-11-23T02:04:39.2597454Z              38 BUILD_TUPLE              2
2022-11-23T02:04:39.2597582Z              40 BUILD_TUPLE              2
2022-11-23T02:04:39.2597706Z              42 CALL_FUNCTION            1
2022-11-23T02:04:39.2597817Z              44 RETURN_VALUE
2022-11-23T02:04:39.2597837Z 
2022-11-23T02:04:39.2597911Z  
2022-11-23T02:04:39.2598217Z [2022-11-23 01:55:40,021] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2598330Z  - 
2022-11-23T02:04:39.2598501Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2598598Z             {
2022-11-23T02:04:39.2598793Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2599054Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.2599204Z                 'obj_weakref': None
2022-11-23T02:04:39.2599511Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2599613Z             }
2022-11-23T02:04:39.2599708Z             
2022-11-23T02:04:39.2599814Z  - 
2022-11-23T02:04:39.2599989Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2600090Z             {
2022-11-23T02:04:39.2600271Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2600425Z                 'code': None,
2022-11-23T02:04:39.2600717Z                 'obj_weakref': <weakref at 0x7fa531ec6570; to 'Tensor' at 0x7fa53c357dd0>
2022-11-23T02:04:39.2601058Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2601153Z             }
2022-11-23T02:04:39.2601247Z             
2022-11-23T02:04:39.2601355Z  - 
2022-11-23T02:04:39.2601514Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.2601609Z             {
2022-11-23T02:04:39.2601810Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2601966Z                 'code': None,
2022-11-23T02:04:39.2602251Z                 'obj_weakref': <weakref at 0x7fa5500962a0; to 'Tensor' at 0x7fa53c354590>
2022-11-23T02:04:39.2602589Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2602691Z             }
2022-11-23T02:04:39.2602768Z             
2022-11-23T02:04:39.2602953Z  - 
2022-11-23T02:04:39.2603162Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.2603264Z             {
2022-11-23T02:04:39.2603453Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2603688Z                 'code': ['___check_obj_id(model, 140347485149008)'],
2022-11-23T02:04:39.2603856Z                 'obj_weakref': None
2022-11-23T02:04:39.2604146Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.2604243Z             }
2022-11-23T02:04:39.2604338Z             
2022-11-23T02:04:39.2604444Z  - 
2022-11-23T02:04:39.2604617Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2604714Z             {
2022-11-23T02:04:39.2604908Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2605181Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2605470Z                 'obj_weakref': None
2022-11-23T02:04:39.2605773Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2605876Z             }
2022-11-23T02:04:39.2605974Z             
2022-11-23T02:04:39.2606079Z  - 
2022-11-23T02:04:39.2606263Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.2606342Z             {
2022-11-23T02:04:39.2606514Z                 'guard_types': None,
2022-11-23T02:04:39.2606668Z                 'code': None,
2022-11-23T02:04:39.2606839Z                 'obj_weakref': None
2022-11-23T02:04:39.2607009Z                 'guarded_class': None
2022-11-23T02:04:39.2607106Z             }
2022-11-23T02:04:39.2607200Z             
2022-11-23T02:04:39.2607535Z [2022-11-23 01:55:40,052] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 212
2022-11-23T02:04:39.2607838Z [2022-11-23 01:55:40,054] torch._inductor.graph: [WARNING] Creating implicit fallback for:
2022-11-23T02:04:39.2608000Z   target: aten._histogramdd_bin_edges.default
2022-11-23T02:04:39.2608134Z   args[0]: TensorBox(StorageBox(
2022-11-23T02:04:39.2608519Z     InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[4, 2], stride=[2, 1]))
2022-11-23T02:04:39.2608620Z   ))
2022-11-23T02:04:39.2608734Z   args[1]: [3, 3]
2022-11-23T02:04:39.2608920Z   kwargs: {'weight': TensorBox(StorageBox(
2022-11-23T02:04:39.2609232Z     InputBuffer(name='arg1_1', layout=FixedLayout('cpu', torch.float32, size=[4], stride=[1]))
2022-11-23T02:04:39.2609327Z   ))}
2022-11-23T02:04:39.2609700Z [2022-11-23 01:55:40,065] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten._histogramdd_bin_edges.default
2022-11-23T02:04:39.2610001Z [2022-11-23 01:55:40,068] torch._inductor.graph: [WARNING] Creating implicit fallback for:
2022-11-23T02:04:39.2610160Z   target: aten._histogramdd_from_bin_cts.default
2022-11-23T02:04:39.2610293Z   args[0]: TensorBox(StorageBox(
2022-11-23T02:04:39.2610621Z     InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[4, 2], stride=[2, 1]))
2022-11-23T02:04:39.2610695Z   ))
2022-11-23T02:04:39.2610799Z   args[1]: [3, 3]
2022-11-23T02:04:39.2611005Z   kwargs: {'weight': TensorBox(StorageBox(
2022-11-23T02:04:39.2611324Z     InputBuffer(name='arg1_1', layout=FixedLayout('cpu', torch.float32, size=[4], stride=[1]))
2022-11-23T02:04:39.2611419Z   ))}
2022-11-23T02:04:39.2611801Z [2022-11-23 01:55:40,079] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten._histogramdd_from_bin_cts.default
2022-11-23T02:04:39.2612290Z [2022-11-23 01:55:40,083] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yj/cyj2k5u3wllhqvofhcsxymbxgpjllqngqwqzuk2ta3vgsnjg3kwl.py
2022-11-23T02:04:39.2612651Z [2022-11-23 01:55:40,084] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 212
2022-11-23T02:04:39.2612677Z 
2022-11-23T02:04:39.2612801Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2612908Z import torch
2022-11-23T02:04:39.2613017Z import random
2022-11-23T02:04:39.2613181Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2613353Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2613377Z 
2022-11-23T02:04:39.2613495Z aten = torch.ops.aten
2022-11-23T02:04:39.2613685Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2613799Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2613835Z 
2022-11-23T02:04:39.2613854Z 
2022-11-23T02:04:39.2613966Z async_compile.wait(globals())
2022-11-23T02:04:39.2614075Z del async_compile
2022-11-23T02:04:39.2614094Z 
2022-11-23T02:04:39.2614199Z def call(args):
2022-11-23T02:04:39.2614309Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.2614419Z     args.clear()
2022-11-23T02:04:39.2614633Z     buf0 = torch.ops.aten._histogramdd_bin_edges.default(arg0_1, [3, 3], weight=arg1_1)
2022-11-23T02:04:39.2614740Z     buf1 = buf0[0]
2022-11-23T02:04:39.2614939Z     assert_size_stride(buf1, (4, ), (1, ))
2022-11-23T02:04:39.2615044Z     buf2 = buf0[1]
2022-11-23T02:04:39.2615180Z     assert_size_stride(buf2, (4, ), (1, ))
2022-11-23T02:04:39.2615284Z     del buf0
2022-11-23T02:04:39.2615504Z     buf3 = torch.ops.aten._histogramdd_from_bin_cts.default(arg0_1, [3, 3], weight=arg1_1)
2022-11-23T02:04:39.2615609Z     del arg0_1
2022-11-23T02:04:39.2615713Z     del arg1_1
2022-11-23T02:04:39.2615796Z     buf4 = buf3
2022-11-23T02:04:39.2615938Z     assert_size_stride(buf4, (3, 3), (3, 1))
2022-11-23T02:04:39.2616584Z     del buf3
2022-11-23T02:04:39.2616813Z     return (buf4, buf1, buf2, )
2022-11-23T02:04:39.2616842Z 
2022-11-23T02:04:39.2616867Z 
2022-11-23T02:04:39.2617054Z if __name__ == "__main__":
2022-11-23T02:04:39.2617318Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2617614Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2618085Z     arg0_1 = rand_strided((4, 2), (2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2618367Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2618531Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.2618551Z 
2022-11-23T02:04:39.2618653Z ok (0.112s)
2022-11-23T02:04:39.2619223Z   test_l1_loss_cpu (__main__.CpuTests) ... [2022-11-23 01:55:40,091] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.2619660Z [2022-11-23 01:55:40,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.2619959Z [2022-11-23 01:55:40,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.2620301Z [2022-11-23 01:55:40,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.2620671Z [2022-11-23 01:55:40,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.2621085Z [2022-11-23 01:55:40,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2621551Z [2022-11-23 01:55:40,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2621983Z [2022-11-23 01:55:40,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2622489Z [2022-11-23 01:55:40,093] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f894d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3147> 
2022-11-23T02:04:39.2622630Z  3148           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2622764Z                2 LOAD_ATTR                1 (nn)
2022-11-23T02:04:39.2622909Z                4 LOAD_ATTR                2 (functional)
2022-11-23T02:04:39.2623053Z                6 LOAD_METHOD              3 (l1_loss)
2022-11-23T02:04:39.2623187Z                8 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2623296Z               10 LOAD_FAST                1 (b)
2022-11-23T02:04:39.2623434Z               12 CALL_METHOD              2
2022-11-23T02:04:39.2623568Z               14 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2623699Z               16 LOAD_ATTR                1 (nn)
2022-11-23T02:04:39.2623841Z               18 LOAD_ATTR                2 (functional)
2022-11-23T02:04:39.2623980Z               20 LOAD_METHOD              4 (mse_loss)
2022-11-23T02:04:39.2624110Z               22 LOAD_FAST                0 (a)
2022-11-23T02:04:39.2624218Z               24 LOAD_FAST                1 (b)
2022-11-23T02:04:39.2624350Z               26 CALL_METHOD              2
2022-11-23T02:04:39.2624479Z               28 BUILD_TUPLE              2
2022-11-23T02:04:39.2624589Z               30 RETURN_VALUE
2022-11-23T02:04:39.2624776Z  
2022-11-23T02:04:39.2624795Z 
2022-11-23T02:04:39.2625227Z [2022-11-23 01:55:40,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3148
2022-11-23T02:04:39.2625526Z [2022-11-23 01:55:40,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.2626007Z [2022-11-23 01:55:40,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2626516Z [2022-11-23 01:55:40,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T02:04:39.2627027Z [2022-11-23 01:55:40,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR l1_loss [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.2627421Z [2022-11-23 01:55:40,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function l1_loss at 0x7fa55b6a85e0>)]
2022-11-23T02:04:39.2627896Z [2022-11-23 01:55:40,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<function l1_loss at 0x7fa55b6a85e0>), TensorVariable()]
2022-11-23T02:04:39.2628372Z [2022-11-23 01:55:40,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<function l1_loss at 0x7fa55b6a85e0>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2628705Z [2022-11-23 01:55:40,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.2629218Z [2022-11-23 01:55:40,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2629763Z [2022-11-23 01:55:40,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TensorVariable(), TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T02:04:39.2630349Z [2022-11-23 01:55:40,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mse_loss [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.2630774Z [2022-11-23 01:55:40,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<function mse_loss at 0x7fa55b6a8700>)]
2022-11-23T02:04:39.2631232Z [2022-11-23 01:55:40,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<function mse_loss at 0x7fa55b6a8700>), TensorVariable()]
2022-11-23T02:04:39.2631737Z [2022-11-23 01:55:40,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<function mse_loss at 0x7fa55b6a8700>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2632106Z [2022-11-23 01:55:40,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2632441Z [2022-11-23 01:55:40,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2632928Z [2022-11-23 01:55:40,106] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f894d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3147>
2022-11-23T02:04:39.2633262Z [2022-11-23 01:55:40,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2633584Z [2022-11-23 01:55:40,106] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.2633926Z [2022-11-23 01:55:40,108] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.2634265Z [2022-11-23 01:55:40,116] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.2634593Z [2022-11-23 01:55:40,117] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2634786Z  __compiled_fn_220 <eval_with_key>.1766 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2634925Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2635052Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.2635227Z call_function, l1_loss, <function l1_loss at 0x7fa55b6a85e0>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.2635425Z call_function, mse_loss, <function mse_loss at 0x7fa55b6a8700>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.2635583Z output, output, output, ((l1_loss, mse_loss),), {}
2022-11-23T02:04:39.2635603Z 
2022-11-23T02:04:39.2636050Z [2022-11-23 01:55:40,117] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2636188Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2636325Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2636452Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2636593Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2636698Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2636878Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2637001Z              12 RETURN_VALUE
2022-11-23T02:04:39.2637021Z 
2022-11-23T02:04:39.2637115Z  
2022-11-23T02:04:39.2637553Z [2022-11-23 01:55:40,117] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2637714Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_220)
2022-11-23T02:04:39.2637846Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2637958Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2638078Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2638204Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2638337Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.2638454Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.2638580Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.2638735Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.2638885Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2638997Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2639111Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.2639258Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2639389Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.2639501Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.2639636Z              30 BUILD_TUPLE              2
2022-11-23T02:04:39.2639749Z              32 RETURN_VALUE
2022-11-23T02:04:39.2639769Z 
2022-11-23T02:04:39.2639842Z  
2022-11-23T02:04:39.2640105Z [2022-11-23 01:55:40,119] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2640219Z  - 
2022-11-23T02:04:39.2640390Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2640488Z             {
2022-11-23T02:04:39.2640686Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2640947Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.2641100Z                 'obj_weakref': None
2022-11-23T02:04:39.2641408Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2641507Z             }
2022-11-23T02:04:39.2641605Z             
2022-11-23T02:04:39.2641711Z  - 
2022-11-23T02:04:39.2641889Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2641986Z             {
2022-11-23T02:04:39.2642166Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2642322Z                 'code': None,
2022-11-23T02:04:39.2642611Z                 'obj_weakref': <weakref at 0x7fa53c424040; to 'Tensor' at 0x7fa53c354590>
2022-11-23T02:04:39.2643055Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2643154Z             }
2022-11-23T02:04:39.2643252Z             
2022-11-23T02:04:39.2643360Z  - 
2022-11-23T02:04:39.2643521Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.2643620Z             {
2022-11-23T02:04:39.2643822Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2643975Z                 'code': None,
2022-11-23T02:04:39.2644265Z                 'obj_weakref': <weakref at 0x7fa53222db20; to 'Tensor' at 0x7fa53c357dd0>
2022-11-23T02:04:39.2644604Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2644700Z             }
2022-11-23T02:04:39.2644777Z             
2022-11-23T02:04:39.2644883Z  - 
2022-11-23T02:04:39.2645066Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.2645163Z             {
2022-11-23T02:04:39.2645354Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2645587Z                 'code': ['___check_obj_id(model, 140347485149008)'],
2022-11-23T02:04:39.2645756Z                 'obj_weakref': None
2022-11-23T02:04:39.2646097Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.2646198Z             }
2022-11-23T02:04:39.2646294Z             
2022-11-23T02:04:39.2646401Z  - 
2022-11-23T02:04:39.2646573Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2646669Z             {
2022-11-23T02:04:39.2646867Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2647141Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2647312Z                 'obj_weakref': None
2022-11-23T02:04:39.2647619Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2647720Z             }
2022-11-23T02:04:39.2647823Z             
2022-11-23T02:04:39.2647928Z  - 
2022-11-23T02:04:39.2648114Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.2648191Z             {
2022-11-23T02:04:39.2648360Z                 'guard_types': None,
2022-11-23T02:04:39.2648517Z                 'code': None,
2022-11-23T02:04:39.2648685Z                 'obj_weakref': None
2022-11-23T02:04:39.2648857Z                 'guarded_class': None
2022-11-23T02:04:39.2648954Z             }
2022-11-23T02:04:39.2649052Z             
2022-11-23T02:04:39.2649386Z [2022-11-23 01:55:40,134] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 213
2022-11-23T02:04:39.2649878Z [2022-11-23 01:55:42,817] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wj/cwj6a4oehhhh3kaldfl4gkon5wcvsqj5dy5wofgjnox3wbitq2pv.py
2022-11-23T02:04:39.2650240Z [2022-11-23 01:55:42,818] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 213
2022-11-23T02:04:39.2650264Z 
2022-11-23T02:04:39.2650401Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2650507Z import torch
2022-11-23T02:04:39.2650613Z import random
2022-11-23T02:04:39.2650778Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2650956Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2650975Z 
2022-11-23T02:04:39.2651074Z aten = torch.ops.aten
2022-11-23T02:04:39.2651263Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2651399Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2651420Z 
2022-11-23T02:04:39.2651438Z 
2022-11-23T02:04:39.2651631Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2651912Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2652079Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.2652229Z                        float* __restrict__ in_out_ptr1,
2022-11-23T02:04:39.2652376Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.2652601Z                        const float* __restrict__ in_ptr1)
2022-11-23T02:04:39.2652698Z {
2022-11-23T02:04:39.2652823Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T02:04:39.2652947Z     auto out_ptr1 = in_out_ptr1;
2022-11-23T02:04:39.2653048Z     {
2022-11-23T02:04:39.2653339Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.2653455Z         float tmp4 = 0;
2022-11-23T02:04:39.2653603Z         auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T02:04:39.2653716Z         float tmp6 = 0;
2022-11-23T02:04:39.2653882Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T02:04:39.2654030Z         #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2654129Z         {
2022-11-23T02:04:39.2654320Z             #pragma omp for reduction(+:tmp4_vec) reduction(+:tmp6_vec) 
2022-11-23T02:04:39.2654445Z             for(long i0=0; i0<192; i0+=1)
2022-11-23T02:04:39.2654528Z             {
2022-11-23T02:04:39.2654721Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.2654906Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.2655157Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.2655291Z                 auto tmp3 = tmp2.abs();
2022-11-23T02:04:39.2655420Z                 auto tmp5 = tmp2 * tmp2;
2022-11-23T02:04:39.2655537Z                 tmp4_vec += tmp3;
2022-11-23T02:04:39.2655651Z                 tmp6_vec += tmp5;
2022-11-23T02:04:39.2655730Z             }
2022-11-23T02:04:39.2656004Z             tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2022-11-23T02:04:39.2656863Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T02:04:39.2657201Z             #pragma omp for simd simdlen(4) reduction(+:tmp4) reduction(+:tmp6) 
2022-11-23T02:04:39.2657417Z             for(long i0=1536; i0<1536; i0+=1)
2022-11-23T02:04:39.2657568Z             {
2022-11-23T02:04:39.2657776Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.2657993Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:39.2658269Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.2658421Z                 auto tmp3 = std::abs(tmp2);
2022-11-23T02:04:39.2658547Z                 auto tmp5 = tmp2 * tmp2;
2022-11-23T02:04:39.2658666Z                 tmp4 += tmp3;
2022-11-23T02:04:39.2658776Z                 tmp6 += tmp5;
2022-11-23T02:04:39.2658870Z             }
2022-11-23T02:04:39.2658963Z         }
2022-11-23T02:04:39.2659059Z         out_ptr0[0] = tmp4;
2022-11-23T02:04:39.2659170Z         out_ptr1[0] = tmp6;
2022-11-23T02:04:39.2659266Z     }
2022-11-23T02:04:39.2659359Z     {
2022-11-23T02:04:39.2659454Z         {
2022-11-23T02:04:39.2659582Z             auto tmp0 = out_ptr0[0];
2022-11-23T02:04:39.2659716Z             auto tmp1 = static_cast<float>(1536);
2022-11-23T02:04:39.2659842Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.2659960Z             in_out_ptr0[0] = tmp2;
2022-11-23T02:04:39.2660055Z         }
2022-11-23T02:04:39.2660149Z     }
2022-11-23T02:04:39.2660244Z     {
2022-11-23T02:04:39.2660341Z         {
2022-11-23T02:04:39.2660446Z             auto tmp0 = out_ptr1[0];
2022-11-23T02:04:39.2660593Z             auto tmp1 = static_cast<float>(1536);
2022-11-23T02:04:39.2660715Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.2660832Z             in_out_ptr1[0] = tmp2;
2022-11-23T02:04:39.2660926Z         }
2022-11-23T02:04:39.2661016Z     }
2022-11-23T02:04:39.2661106Z }
2022-11-23T02:04:39.2661211Z ''')
2022-11-23T02:04:39.2661234Z 
2022-11-23T02:04:39.2661253Z 
2022-11-23T02:04:39.2661383Z async_compile.wait(globals())
2022-11-23T02:04:39.2661493Z del async_compile
2022-11-23T02:04:39.2661512Z 
2022-11-23T02:04:39.2661619Z def call(args):
2022-11-23T02:04:39.2661901Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.2662012Z     args.clear()
2022-11-23T02:04:39.2662278Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2662506Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2662635Z     buf2 = buf0; del buf0  # reuse
2022-11-23T02:04:39.2662757Z     buf3 = buf1; del buf1  # reuse
2022-11-23T02:04:39.2663017Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()))
2022-11-23T02:04:39.2663192Z     del arg0_1
2022-11-23T02:04:39.2663292Z     del arg1_1
2022-11-23T02:04:39.2663410Z     return (buf2, buf3, )
2022-11-23T02:04:39.2663430Z 
2022-11-23T02:04:39.2663448Z 
2022-11-23T02:04:39.2663562Z if __name__ == "__main__":
2022-11-23T02:04:39.2663705Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2663878Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2664185Z     arg0_1 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2664475Z     arg1_1 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2664645Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.2664758Z 
2022-11-23T02:04:39.2664870Z ok (2.733s)
2022-11-23T02:04:39.2665292Z   test_layer_norm_cpu (__main__.CpuTests) ... [2022-11-23 01:55:42,825] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.2665717Z [2022-11-23 01:55:42,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.2665994Z [2022-11-23 01:55:42,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.2666324Z [2022-11-23 01:55:42,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:39.2666687Z [2022-11-23 01:55:42,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:39.2667114Z [2022-11-23 01:55:42,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2667565Z [2022-11-23 01:55:42,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2667984Z [2022-11-23 01:55:42,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2668314Z [2022-11-23 01:55:42,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.2668630Z [2022-11-23 01:55:42,837] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.2668974Z [2022-11-23 01:55:42,838] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.2669320Z [2022-11-23 01:55:42,849] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.2669562Z [2022-11-23 01:55:42,850] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2669761Z  __compiled_fn_221 <eval_with_key>.1772 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2669891Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2670036Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:39.2670182Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T02:04:39.2670323Z output, output, output, ((model_1,),), {}
2022-11-23T02:04:39.2670343Z 
2022-11-23T02:04:39.2670779Z [2022-11-23 01:55:42,850] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2670916Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2671032Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2671222Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2671356Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2671479Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2671612Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2671725Z              12 RETURN_VALUE
2022-11-23T02:04:39.2671745Z 
2022-11-23T02:04:39.2671837Z  
2022-11-23T02:04:39.2672271Z [2022-11-23 01:55:42,850] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2672410Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_221)
2022-11-23T02:04:39.2672542Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2672673Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2672787Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2672914Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.2673049Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.2673160Z              12 RETURN_VALUE
2022-11-23T02:04:39.2673180Z 
2022-11-23T02:04:39.2673252Z  
2022-11-23T02:04:39.2673505Z [2022-11-23 01:55:42,852] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2673662Z  - 
2022-11-23T02:04:39.2673840Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2673938Z             {
2022-11-23T02:04:39.2674137Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2674392Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.2674545Z                 'obj_weakref': None
2022-11-23T02:04:39.2674853Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2674952Z             }
2022-11-23T02:04:39.2675048Z             
2022-11-23T02:04:39.2675152Z  - 
2022-11-23T02:04:39.2675327Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2675425Z             {
2022-11-23T02:04:39.2675610Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2675762Z                 'code': None,
2022-11-23T02:04:39.2676048Z                 'obj_weakref': <weakref at 0x7fa5320bf8d0; to 'Tensor' at 0x7fa61a791c60>
2022-11-23T02:04:39.2676391Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2676489Z             }
2022-11-23T02:04:39.2676585Z             
2022-11-23T02:04:39.2676689Z  - 
2022-11-23T02:04:39.2676841Z             local 'model' NN_MODULE
2022-11-23T02:04:39.2676938Z             {
2022-11-23T02:04:39.2677128Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2677361Z                 'code': ['___check_obj_id(model, 140347989938464)'],
2022-11-23T02:04:39.2677658Z                 'obj_weakref': <weakref at 0x7fa53200d620; to 'Sequential' at 0x7fa55015d120>
2022-11-23T02:04:39.2677983Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:39.2678083Z             }
2022-11-23T02:04:39.2678160Z             
2022-11-23T02:04:39.2678263Z  - 
2022-11-23T02:04:39.2678435Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2678531Z             {
2022-11-23T02:04:39.2678722Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2679017Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2679184Z                 'obj_weakref': None
2022-11-23T02:04:39.2679466Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2679561Z             }
2022-11-23T02:04:39.2679656Z             
2022-11-23T02:04:39.2679763Z  - 
2022-11-23T02:04:39.2679965Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:39.2680061Z             {
2022-11-23T02:04:39.2680229Z                 'guard_types': None,
2022-11-23T02:04:39.2680362Z                 'code': None,
2022-11-23T02:04:39.2680602Z                 'obj_weakref': None
2022-11-23T02:04:39.2680774Z                 'guarded_class': None
2022-11-23T02:04:39.2680869Z             }
2022-11-23T02:04:39.2680963Z             
2022-11-23T02:04:39.2681066Z  - 
2022-11-23T02:04:39.2681272Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:39.2681350Z             {
2022-11-23T02:04:39.2681520Z                 'guard_types': None,
2022-11-23T02:04:39.2681670Z                 'code': None,
2022-11-23T02:04:39.2681834Z                 'obj_weakref': None
2022-11-23T02:04:39.2682005Z                 'guarded_class': None
2022-11-23T02:04:39.2682101Z             }
2022-11-23T02:04:39.2682179Z             
2022-11-23T02:04:39.2682530Z [2022-11-23 01:55:42,932] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 214
2022-11-23T02:04:39.2683021Z [2022-11-23 01:55:45,713] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nw/cnwuiznzvx77omun6zklmjb5kukchjllg6pfrsdhkdr5kljtpvds.py
2022-11-23T02:04:39.2683443Z [2022-11-23 01:55:45,713] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 214
2022-11-23T02:04:39.2683464Z 
2022-11-23T02:04:39.2683598Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2683704Z import torch
2022-11-23T02:04:39.2683869Z import random
2022-11-23T02:04:39.2684039Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2684190Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2684321Z 
2022-11-23T02:04:39.2684423Z aten = torch.ops.aten
2022-11-23T02:04:39.2684609Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2684744Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2684763Z 
2022-11-23T02:04:39.2684782Z 
2022-11-23T02:04:39.2684989Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2685269Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2685437Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.2685590Z                        float* __restrict__ in_out_ptr1,
2022-11-23T02:04:39.2685740Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.2685870Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.2686017Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.2686161Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.2686303Z                        float* __restrict__ out_ptr3)
2022-11-23T02:04:39.2686397Z {
2022-11-23T02:04:39.2686526Z     auto out_ptr2 = in_out_ptr0;
2022-11-23T02:04:39.2686653Z     auto out_ptr1 = in_out_ptr1;
2022-11-23T02:04:39.2686779Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2686876Z     {
2022-11-23T02:04:39.2686991Z         #pragma omp for 
2022-11-23T02:04:39.2687111Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.2687209Z         {
2022-11-23T02:04:39.2687308Z             {
2022-11-23T02:04:39.2687589Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.2687689Z                 float tmp1 = 0;
2022-11-23T02:04:39.2687860Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T02:04:39.2687994Z                 for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.2688097Z                 {
2022-11-23T02:04:39.2688301Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T02:04:39.2688423Z                     tmp1_vec += tmp0;
2022-11-23T02:04:39.2688520Z                 }
2022-11-23T02:04:39.2688786Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T02:04:39.2688939Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T02:04:39.2689072Z                 for(long i1=32; i1<32; i1+=1)
2022-11-23T02:04:39.2689170Z                 {
2022-11-23T02:04:39.2689389Z                     auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T02:04:39.2689506Z                     tmp1 += tmp0;
2022-11-23T02:04:39.2689604Z                 }
2022-11-23T02:04:39.2689724Z                 out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.2689807Z             }
2022-11-23T02:04:39.2689903Z         }
2022-11-23T02:04:39.2690019Z         #pragma omp for 
2022-11-23T02:04:39.2690145Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.2690241Z         {
2022-11-23T02:04:39.2690337Z             {
2022-11-23T02:04:39.2690596Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.2690698Z                 float tmp6 = 0;
2022-11-23T02:04:39.2690867Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T02:04:39.2690981Z                 float tmp7 = 0;
2022-11-23T02:04:39.2691153Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T02:04:39.2691286Z                 for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.2691384Z                 {
2022-11-23T02:04:39.2691584Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T02:04:39.2691826Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T02:04:39.2692009Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(32));
2022-11-23T02:04:39.2692146Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.2692366Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.2692498Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T02:04:39.2692618Z                     tmp6_vec += tmp5;
2022-11-23T02:04:39.2692736Z                     tmp7_vec += tmp0;
2022-11-23T02:04:39.2692835Z                 }
2022-11-23T02:04:39.2693086Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T02:04:39.2693359Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T02:04:39.2693556Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2022-11-23T02:04:39.2693694Z                 for(long i1=32; i1<32; i1+=1)
2022-11-23T02:04:39.2693794Z                 {
2022-11-23T02:04:39.2693935Z                     auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T02:04:39.2694070Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T02:04:39.2694219Z                     auto tmp2 = static_cast<float>(32);
2022-11-23T02:04:39.2694334Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.2694528Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.2694655Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T02:04:39.2694773Z                     tmp6 += tmp5;
2022-11-23T02:04:39.2694890Z                     tmp7 += tmp0;
2022-11-23T02:04:39.2694996Z                 }
2022-11-23T02:04:39.2695122Z                 out_ptr1[i0] = tmp6;
2022-11-23T02:04:39.2695221Z                 out_ptr2[i0] = tmp7;
2022-11-23T02:04:39.2695320Z             }
2022-11-23T02:04:39.2695416Z         }
2022-11-23T02:04:39.2695534Z         #pragma omp for 
2022-11-23T02:04:39.2695660Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.2695758Z         {
2022-11-23T02:04:39.2695950Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + 8*i0);
2022-11-23T02:04:39.2696670Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(32));
2022-11-23T02:04:39.2696912Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.2697146Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.2697299Z         }
2022-11-23T02:04:39.2697529Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.2697728Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T02:04:39.2697878Z         {
2022-11-23T02:04:39.2698055Z             auto tmp0 = out_ptr2[i0];
2022-11-23T02:04:39.2698378Z             auto tmp1 = static_cast<float>(32);
2022-11-23T02:04:39.2698505Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.2698632Z             in_out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.2698728Z         }
2022-11-23T02:04:39.2698850Z         #pragma omp for 
2022-11-23T02:04:39.2698973Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.2699050Z         {
2022-11-23T02:04:39.2699249Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T02:04:39.2699437Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(32));
2022-11-23T02:04:39.2699560Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.2699872Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T02:04:39.2699999Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.2700122Z             auto tmp5 = tmp4.sqrt();
2022-11-23T02:04:39.2700261Z             auto tmp6 = tmp5.reciprocal();
2022-11-23T02:04:39.2700385Z             tmp6.store(in_out_ptr1 + 8*i0);
2022-11-23T02:04:39.2700480Z         }
2022-11-23T02:04:39.2700619Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.2700739Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T02:04:39.2700838Z         {
2022-11-23T02:04:39.2701032Z             auto tmp0 = out_ptr1[i0];
2022-11-23T02:04:39.2701187Z             auto tmp1 = static_cast<float>(32);
2022-11-23T02:04:39.2701291Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.2701506Z             auto tmp3 = static_cast<float>(1e-05);
2022-11-23T02:04:39.2701628Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.2701761Z             auto tmp5 = std::sqrt(tmp4);
2022-11-23T02:04:39.2701879Z             auto tmp6 = 1 / tmp5;
2022-11-23T02:04:39.2702002Z             in_out_ptr1[i0] = tmp6;
2022-11-23T02:04:39.2702097Z         }
2022-11-23T02:04:39.2702192Z         #pragma omp for 
2022-11-23T02:04:39.2702310Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.2702404Z         {
2022-11-23T02:04:39.2702531Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.2702629Z             {
2022-11-23T02:04:39.2702831Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T02:04:39.2703016Z                 auto tmp1 = at::vec::Vectorized<float>(in_out_ptr0[i0]);
2022-11-23T02:04:39.2703182Z                 auto tmp3 = at::vec::Vectorized<float>(in_out_ptr1[i0]);
2022-11-23T02:04:39.2703370Z                 auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T02:04:39.2703555Z                 auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i1);
2022-11-23T02:04:39.2703741Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.2703866Z                 auto tmp4 = tmp2 * tmp3;
2022-11-23T02:04:39.2703992Z                 auto tmp6 = tmp4 * tmp5;
2022-11-23T02:04:39.2704118Z                 auto tmp8 = tmp6 + tmp7;
2022-11-23T02:04:39.2704298Z                 auto tmp9 = at::vec::clamp_min(tmp8, decltype(tmp8)(0));
2022-11-23T02:04:39.2704432Z                 tmp9.store(out_ptr3 + (8*i1) + (32*i0));
2022-11-23T02:04:39.2704527Z             }
2022-11-23T02:04:39.2704661Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.2704785Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T02:04:39.2704884Z             {
2022-11-23T02:04:39.2705026Z                 auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T02:04:39.2705165Z                 auto tmp1 = in_out_ptr0[i0];
2022-11-23T02:04:39.2705279Z                 auto tmp3 = in_out_ptr1[i0];
2022-11-23T02:04:39.2705407Z                 auto tmp5 = in_ptr1[i1];
2022-11-23T02:04:39.2705532Z                 auto tmp7 = in_ptr2[i1];
2022-11-23T02:04:39.2705718Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.2705844Z                 auto tmp4 = tmp2 * tmp3;
2022-11-23T02:04:39.2705970Z                 auto tmp6 = tmp4 * tmp5;
2022-11-23T02:04:39.2706093Z                 auto tmp8 = tmp6 + tmp7;
2022-11-23T02:04:39.2706205Z                 auto tmp9 = tmp8 * (tmp8>0);
2022-11-23T02:04:39.2706409Z                 out_ptr3[i1 + (32*i0)] = tmp9;
2022-11-23T02:04:39.2706507Z             }
2022-11-23T02:04:39.2706605Z         }
2022-11-23T02:04:39.2706700Z     }
2022-11-23T02:04:39.2706793Z }
2022-11-23T02:04:39.2706894Z ''')
2022-11-23T02:04:39.2706943Z 
2022-11-23T02:04:39.2706962Z 
2022-11-23T02:04:39.2707076Z async_compile.wait(globals())
2022-11-23T02:04:39.2707184Z del async_compile
2022-11-23T02:04:39.2707204Z 
2022-11-23T02:04:39.2707311Z def call(args):
2022-11-23T02:04:39.2707458Z     primals_1, primals_2, primals_3 = args
2022-11-23T02:04:39.2707566Z     args.clear()
2022-11-23T02:04:39.2707840Z     buf0 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2708112Z     buf1 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2708357Z     buf2 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2708481Z     buf3 = buf2; del buf2  # reuse
2022-11-23T02:04:39.2708604Z     buf4 = buf1; del buf1  # reuse
2022-11-23T02:04:39.2708875Z     buf5 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2709293Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T02:04:39.2709476Z     return (buf5, primals_1, primals_2, primals_3, buf3, buf4, )
2022-11-23T02:04:39.2709496Z 
2022-11-23T02:04:39.2709514Z 
2022-11-23T02:04:39.2709631Z if __name__ == "__main__":
2022-11-23T02:04:39.2709794Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2709969Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2710223Z     primals_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2710493Z     primals_2 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2710777Z     primals_3 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2710970Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T02:04:39.2710989Z 
2022-11-23T02:04:39.2711092Z ok (2.895s)
2022-11-23T02:04:39.2711514Z   test_leaky_relu_cpu (__main__.CpuTests) ... [2022-11-23 01:55:45,720] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.2711950Z [2022-11-23 01:55:45,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.2712246Z [2022-11-23 01:55:45,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.2712590Z [2022-11-23 01:55:45,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.2712946Z [2022-11-23 01:55:45,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.2713383Z [2022-11-23 01:55:45,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2713849Z [2022-11-23 01:55:45,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2714284Z [2022-11-23 01:55:45,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2714791Z [2022-11-23 01:55:45,721] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9c870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2429> 
2022-11-23T02:04:39.2714931Z  2430           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.2715075Z                2 LOAD_METHOD              1 (leaky_relu)
2022-11-23T02:04:39.2715209Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2715436Z                6 LOAD_CONST               1 (0.2)
2022-11-23T02:04:39.2715549Z                8 CALL_METHOD              2
2022-11-23T02:04:39.2715681Z               10 LOAD_CONST               2 (2)
2022-11-23T02:04:39.2715800Z               12 BINARY_ADD
2022-11-23T02:04:39.2715935Z               14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.2716080Z               16 LOAD_METHOD              1 (leaky_relu)
2022-11-23T02:04:39.2716212Z               18 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2716343Z               20 LOAD_CONST               3 (1)
2022-11-23T02:04:39.2716435Z               22 BINARY_ADD
2022-11-23T02:04:39.2716565Z               24 CALL_METHOD              1
2022-11-23T02:04:39.2716697Z               26 BUILD_TUPLE              2
2022-11-23T02:04:39.2716813Z               28 RETURN_VALUE
2022-11-23T02:04:39.2716904Z  
2022-11-23T02:04:39.2716925Z 
2022-11-23T02:04:39.2717359Z [2022-11-23 01:55:45,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2430
2022-11-23T02:04:39.2717664Z [2022-11-23 01:55:45,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.2718140Z [2022-11-23 01:55:45,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2718483Z [2022-11-23 01:55:45,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.leaky_relu)]
2022-11-23T02:04:39.2718876Z [2022-11-23 01:55:45,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.2 [TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T02:04:39.2719318Z [2022-11-23 01:55:45,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.leaky_relu), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.2719639Z [2022-11-23 01:55:45,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:39.2720024Z [2022-11-23 01:55:45,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2720358Z [2022-11-23 01:55:45,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.2720820Z [2022-11-23 01:55:45,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2721208Z [2022-11-23 01:55:45,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.leaky_relu)]
2022-11-23T02:04:39.2721628Z [2022-11-23 01:55:45,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T02:04:39.2722105Z [2022-11-23 01:55:45,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2722541Z [2022-11-23 01:55:45,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T02:04:39.2722891Z [2022-11-23 01:55:45,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2723222Z [2022-11-23 01:55:45,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2723724Z [2022-11-23 01:55:45,747] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9c870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2429>
2022-11-23T02:04:39.2724054Z [2022-11-23 01:55:45,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2724368Z [2022-11-23 01:55:45,747] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.2724785Z [2022-11-23 01:55:45,749] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.2725123Z [2022-11-23 01:55:45,758] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.2725385Z [2022-11-23 01:55:45,758] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2725575Z  __compiled_fn_222 <eval_with_key>.1783 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2725686Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2725862Z call_function, leaky_relu, aten.leaky_relu, (ex_0_, 0.2), {}
2022-11-23T02:04:39.2726110Z call_function, add, <built-in function add>, (leaky_relu, 2), {}
2022-11-23T02:04:39.2726349Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.2726518Z call_function, leaky_relu_1, aten.leaky_relu, (add_1,), {}
2022-11-23T02:04:39.2726674Z output, output, output, ((add, leaky_relu_1),), {}
2022-11-23T02:04:39.2726700Z 
2022-11-23T02:04:39.2727138Z [2022-11-23 01:55:45,759] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2727275Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2727443Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2727580Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2727717Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2727843Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2727981Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2728095Z              12 RETURN_VALUE
2022-11-23T02:04:39.2728114Z 
2022-11-23T02:04:39.2728207Z  
2022-11-23T02:04:39.2728645Z [2022-11-23 01:55:45,759] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2728781Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_222)
2022-11-23T02:04:39.2728921Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2729054Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2729168Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2729296Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.2729446Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.2729592Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2729704Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2729819Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.2729964Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2730096Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.2730207Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.2730334Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.2730446Z              26 RETURN_VALUE
2022-11-23T02:04:39.2730466Z 
2022-11-23T02:04:39.2730548Z  
2022-11-23T02:04:39.2730807Z [2022-11-23 01:55:45,760] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2730916Z  - 
2022-11-23T02:04:39.2731087Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2731189Z             {
2022-11-23T02:04:39.2731391Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2731651Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.2731802Z                 'obj_weakref': None
2022-11-23T02:04:39.2732106Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2732206Z             }
2022-11-23T02:04:39.2732304Z             
2022-11-23T02:04:39.2732409Z  - 
2022-11-23T02:04:39.2732590Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2732686Z             {
2022-11-23T02:04:39.2732868Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2733029Z                 'code': None,
2022-11-23T02:04:39.2733326Z                 'obj_weakref': <weakref at 0x7fa5320be890; to 'Tensor' at 0x7fa53c354590>
2022-11-23T02:04:39.2733745Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2733844Z             }
2022-11-23T02:04:39.2733945Z             
2022-11-23T02:04:39.2734053Z  - 
2022-11-23T02:04:39.2734220Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.2734319Z             {
2022-11-23T02:04:39.2734508Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2734743Z                 'code': ['___check_obj_id(model, 140347486172448)'],
2022-11-23T02:04:39.2734911Z                 'obj_weakref': None
2022-11-23T02:04:39.2735220Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.2735320Z             }
2022-11-23T02:04:39.2735397Z             
2022-11-23T02:04:39.2735504Z  - 
2022-11-23T02:04:39.2735676Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2735776Z             {
2022-11-23T02:04:39.2735966Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2736853Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2737142Z                 'obj_weakref': None
2022-11-23T02:04:39.2737831Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2737961Z             }
2022-11-23T02:04:39.2738059Z             
2022-11-23T02:04:39.2738178Z  - 
2022-11-23T02:04:39.2738365Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.2738462Z             {
2022-11-23T02:04:39.2738630Z                 'guard_types': None,
2022-11-23T02:04:39.2738763Z                 'code': None,
2022-11-23T02:04:39.2738926Z                 'obj_weakref': None
2022-11-23T02:04:39.2739095Z                 'guarded_class': None
2022-11-23T02:04:39.2739192Z             }
2022-11-23T02:04:39.2739287Z             
2022-11-23T02:04:39.2739646Z [2022-11-23 01:55:45,778] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 215
2022-11-23T02:04:39.2740137Z [2022-11-23 01:55:48,396] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h3/ch3ienb3n25vn3blpkuynmdnabdo2usks7weaxwqbqvtcva4raib.py
2022-11-23T02:04:39.2740495Z [2022-11-23 01:55:48,396] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 215
2022-11-23T02:04:39.2740518Z 
2022-11-23T02:04:39.2740636Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2740742Z import torch
2022-11-23T02:04:39.2740847Z import random
2022-11-23T02:04:39.2741013Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2741184Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2741207Z 
2022-11-23T02:04:39.2741322Z aten = torch.ops.aten
2022-11-23T02:04:39.2741509Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2741624Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2741665Z 
2022-11-23T02:04:39.2741685Z 
2022-11-23T02:04:39.2741859Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2742137Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2742309Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.2742456Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.2742595Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.2742688Z {
2022-11-23T02:04:39.2742830Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2742906Z     {
2022-11-23T02:04:39.2743021Z         #pragma omp for 
2022-11-23T02:04:39.2743140Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T02:04:39.2743234Z         {
2022-11-23T02:04:39.2743331Z             {
2022-11-23T02:04:39.2743429Z                 {
2022-11-23T02:04:39.2743563Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.2743695Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T02:04:39.2743942Z                     auto tmp2 = tmp0 > tmp1;
2022-11-23T02:04:39.2744094Z                     auto tmp3 = static_cast<float>(0.2);
2022-11-23T02:04:39.2744228Z                     auto tmp4 = tmp0 * tmp3;
2022-11-23T02:04:39.2744373Z                     auto tmp5 = tmp2 ? tmp0 : tmp4;
2022-11-23T02:04:39.2744590Z                     auto tmp6 = static_cast<float>(2);
2022-11-23T02:04:39.2744723Z                     auto tmp7 = tmp5 + tmp6;
2022-11-23T02:04:39.2744851Z                     auto tmp8 = static_cast<float>(1);
2022-11-23T02:04:39.2744984Z                     auto tmp9 = tmp0 + tmp8;
2022-11-23T02:04:39.2745118Z                     auto tmp10 = tmp9 > tmp1;
2022-11-23T02:04:39.2745272Z                     auto tmp11 = static_cast<float>(0.01);
2022-11-23T02:04:39.2745403Z                     auto tmp12 = tmp9 * tmp11;
2022-11-23T02:04:39.2745547Z                     auto tmp13 = tmp10 ? tmp9 : tmp12;
2022-11-23T02:04:39.2745670Z                     out_ptr0[i0] = tmp7;
2022-11-23T02:04:39.2745780Z                     out_ptr1[i0] = tmp13;
2022-11-23T02:04:39.2745878Z                 }
2022-11-23T02:04:39.2745974Z             }
2022-11-23T02:04:39.2746071Z         }
2022-11-23T02:04:39.2746164Z     }
2022-11-23T02:04:39.2746253Z }
2022-11-23T02:04:39.2746495Z ''')
2022-11-23T02:04:39.2746517Z 
2022-11-23T02:04:39.2746535Z 
2022-11-23T02:04:39.2746656Z async_compile.wait(globals())
2022-11-23T02:04:39.2746764Z del async_compile
2022-11-23T02:04:39.2746783Z 
2022-11-23T02:04:39.2746891Z def call(args):
2022-11-23T02:04:39.2746996Z     arg0_1, = args
2022-11-23T02:04:39.2747105Z     args.clear()
2022-11-23T02:04:39.2747381Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2747646Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2747876Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.2747968Z     del arg0_1
2022-11-23T02:04:39.2748081Z     return (buf0, buf1, )
2022-11-23T02:04:39.2748101Z 
2022-11-23T02:04:39.2748119Z 
2022-11-23T02:04:39.2748232Z if __name__ == "__main__":
2022-11-23T02:04:39.2748394Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2748570Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2748847Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2749003Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.2749022Z 
2022-11-23T02:04:39.2749122Z ok (2.683s)
2022-11-23T02:04:39.2749510Z   test_lgamma_cpu (__main__.CpuTests) ... [2022-11-23 01:55:48,403] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.2749934Z [2022-11-23 01:55:48,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.2750228Z [2022-11-23 01:55:48,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.2750577Z [2022-11-23 01:55:48,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.2750953Z [2022-11-23 01:55:48,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.2751383Z [2022-11-23 01:55:48,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2751843Z [2022-11-23 01:55:48,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2752273Z [2022-11-23 01:55:48,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2752776Z [2022-11-23 01:55:48,404] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fba8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2125> 
2022-11-23T02:04:39.2752977Z  2126           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.2753095Z                2 LOAD_METHOD              1 (lgamma)
2022-11-23T02:04:39.2753231Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2753365Z                6 CALL_METHOD              1
2022-11-23T02:04:39.2753496Z                8 LOAD_CONST               1 (2)
2022-11-23T02:04:39.2753608Z               10 BINARY_ADD
2022-11-23T02:04:39.2753748Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.2753881Z               14 LOAD_METHOD              2 (cos)
2022-11-23T02:04:39.2753991Z               16 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2754119Z               18 LOAD_CONST               2 (1)
2022-11-23T02:04:39.2754226Z               20 BINARY_ADD
2022-11-23T02:04:39.2754355Z               22 CALL_METHOD              1
2022-11-23T02:04:39.2754488Z               24 BUILD_TUPLE              2
2022-11-23T02:04:39.2754606Z               26 RETURN_VALUE
2022-11-23T02:04:39.2754700Z  
2022-11-23T02:04:39.2754721Z 
2022-11-23T02:04:39.2755174Z [2022-11-23 01:55:48,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2126
2022-11-23T02:04:39.2755482Z [2022-11-23 01:55:48,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.2755892Z [2022-11-23 01:55:48,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR lgamma [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2756234Z [2022-11-23 01:55:48,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.lgamma)]
2022-11-23T02:04:39.2756626Z [2022-11-23 01:55:48,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.lgamma), TensorVariable()]
2022-11-23T02:04:39.2756950Z [2022-11-23 01:55:48,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:39.2757334Z [2022-11-23 01:55:48,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2757667Z [2022-11-23 01:55:48,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.2758113Z [2022-11-23 01:55:48,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.2758480Z [2022-11-23 01:55:48,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.cos)]
2022-11-23T02:04:39.2758871Z [2022-11-23 01:55:48,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T02:04:39.2759332Z [2022-11-23 01:55:48,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.cos), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2759747Z [2022-11-23 01:55:48,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T02:04:39.2760120Z [2022-11-23 01:55:48,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2760453Z [2022-11-23 01:55:48,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2760958Z [2022-11-23 01:55:48,430] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fba8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2125>
2022-11-23T02:04:39.2761291Z [2022-11-23 01:55:48,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2761609Z [2022-11-23 01:55:48,430] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.2762014Z [2022-11-23 01:55:48,432] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.2762416Z [2022-11-23 01:55:48,438] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.2762658Z [2022-11-23 01:55:48,439] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2762850Z  __compiled_fn_223 <eval_with_key>.1789 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2762981Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2763139Z call_function, lgamma, aten.lgamma, (ex_0_,), {}
2022-11-23T02:04:39.2763382Z call_function, add, <built-in function add>, (lgamma, 2), {}
2022-11-23T02:04:39.2763623Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.2763763Z call_function, cos, aten.cos, (add_1,), {}
2022-11-23T02:04:39.2763906Z output, output, output, ((add, cos),), {}
2022-11-23T02:04:39.2763926Z 
2022-11-23T02:04:39.2764341Z [2022-11-23 01:55:48,439] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2764485Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2764676Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2764815Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2764955Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2765083Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2765210Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2765324Z              12 RETURN_VALUE
2022-11-23T02:04:39.2765344Z 
2022-11-23T02:04:39.2765418Z  
2022-11-23T02:04:39.2765856Z [2022-11-23 01:55:48,440] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2766013Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_223)
2022-11-23T02:04:39.2766153Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2766284Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2766398Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2766525Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.2766661Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.2766810Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2766942Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2767056Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.2767202Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2767330Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.2767442Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.2767549Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.2767659Z              26 RETURN_VALUE
2022-11-23T02:04:39.2767678Z 
2022-11-23T02:04:39.2767771Z  
2022-11-23T02:04:39.2768028Z [2022-11-23 01:55:48,441] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2768143Z  - 
2022-11-23T02:04:39.2768312Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2768409Z             {
2022-11-23T02:04:39.2768586Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2768850Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.2769018Z                 'obj_weakref': None
2022-11-23T02:04:39.2769324Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2769421Z             }
2022-11-23T02:04:39.2769518Z             
2022-11-23T02:04:39.2769626Z  - 
2022-11-23T02:04:39.2769801Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2769882Z             {
2022-11-23T02:04:39.2770081Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2770235Z                 'code': None,
2022-11-23T02:04:39.2770523Z                 'obj_weakref': <weakref at 0x7fa55003c2c0; to 'Tensor' at 0x7fa5322401d0>
2022-11-23T02:04:39.2770954Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2771052Z             }
2022-11-23T02:04:39.2771146Z             
2022-11-23T02:04:39.2771240Z  - 
2022-11-23T02:04:39.2771424Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.2771523Z             {
2022-11-23T02:04:39.2771719Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2771959Z                 'code': ['___check_obj_id(model, 140347486172448)'],
2022-11-23T02:04:39.2772129Z                 'obj_weakref': None
2022-11-23T02:04:39.2772444Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.2772525Z             }
2022-11-23T02:04:39.2772620Z             
2022-11-23T02:04:39.2772726Z  - 
2022-11-23T02:04:39.2772896Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2772994Z             {
2022-11-23T02:04:39.2773187Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2773460Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2773629Z                 'obj_weakref': None
2022-11-23T02:04:39.2773985Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2774090Z             }
2022-11-23T02:04:39.2774186Z             
2022-11-23T02:04:39.2774297Z  - 
2022-11-23T02:04:39.2774481Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.2774557Z             {
2022-11-23T02:04:39.2774728Z                 'guard_types': None,
2022-11-23T02:04:39.2774881Z                 'code': None,
2022-11-23T02:04:39.2775044Z                 'obj_weakref': None
2022-11-23T02:04:39.2775214Z                 'guarded_class': None
2022-11-23T02:04:39.2775313Z             }
2022-11-23T02:04:39.2775410Z             
2022-11-23T02:04:39.2775746Z [2022-11-23 01:55:48,456] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 216
2022-11-23T02:04:39.2776844Z [2022-11-23 01:55:51,098] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hz/chzjvk5wszjambp2yi6qfrzk56sfrcqtwt5it4wenx624mpzbcx7.py
2022-11-23T02:04:39.2777534Z [2022-11-23 01:55:51,098] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 216
2022-11-23T02:04:39.2777562Z 
2022-11-23T02:04:39.2777794Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2777966Z import torch
2022-11-23T02:04:39.2778134Z import random
2022-11-23T02:04:39.2778339Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2778512Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2778532Z 
2022-11-23T02:04:39.2778629Z aten = torch.ops.aten
2022-11-23T02:04:39.2778818Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2778951Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2778971Z 
2022-11-23T02:04:39.2778994Z 
2022-11-23T02:04:39.2779194Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2779472Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2779640Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.2779789Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.2779928Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.2780001Z {
2022-11-23T02:04:39.2780151Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2780244Z     {
2022-11-23T02:04:39.2780360Z         #pragma omp for 
2022-11-23T02:04:39.2780482Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.2780578Z         {
2022-11-23T02:04:39.2780801Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.2780910Z             auto tmp1 = tmp0.lgamma();
2022-11-23T02:04:39.2781099Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:39.2781409Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:39.2781601Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.2781725Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T02:04:39.2781859Z             auto tmp6 = tmp5.cos();
2022-11-23T02:04:39.2781994Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.2782121Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.2782198Z         }
2022-11-23T02:04:39.2782334Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.2782455Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T02:04:39.2782548Z         {
2022-11-23T02:04:39.2782672Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.2782811Z             auto tmp1 = std::lgamma(tmp0);
2022-11-23T02:04:39.2782954Z             auto tmp2 = static_cast<float>(2);
2022-11-23T02:04:39.2783061Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:39.2783202Z             auto tmp4 = static_cast<float>(1);
2022-11-23T02:04:39.2783333Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T02:04:39.2783461Z             auto tmp6 = std::cos(tmp5);
2022-11-23T02:04:39.2783578Z             out_ptr0[i0] = tmp3;
2022-11-23T02:04:39.2783695Z             out_ptr1[i0] = tmp6;
2022-11-23T02:04:39.2783790Z         }
2022-11-23T02:04:39.2783938Z     }
2022-11-23T02:04:39.2784039Z }
2022-11-23T02:04:39.2784164Z ''')
2022-11-23T02:04:39.2784183Z 
2022-11-23T02:04:39.2784202Z 
2022-11-23T02:04:39.2784394Z async_compile.wait(globals())
2022-11-23T02:04:39.2784507Z del async_compile
2022-11-23T02:04:39.2784526Z 
2022-11-23T02:04:39.2784634Z def call(args):
2022-11-23T02:04:39.2784737Z     arg0_1, = args
2022-11-23T02:04:39.2784825Z     args.clear()
2022-11-23T02:04:39.2785106Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2785378Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2785606Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.2785718Z     del arg0_1
2022-11-23T02:04:39.2785835Z     return (buf0, buf1, )
2022-11-23T02:04:39.2785855Z 
2022-11-23T02:04:39.2785873Z 
2022-11-23T02:04:39.2785985Z if __name__ == "__main__":
2022-11-23T02:04:39.2786151Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2786309Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2786584Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2786742Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.2786761Z 
2022-11-23T02:04:39.2786863Z ok (2.702s)
2022-11-23T02:04:39.2787272Z   test_linear1_cpu (__main__.CpuTests) ... [2022-11-23 01:55:51,105] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.2787699Z [2022-11-23 01:55:51,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.2788003Z [2022-11-23 01:55:51,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.2788334Z [2022-11-23 01:55:51,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:39.2788678Z [2022-11-23 01:55:51,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:39.2789101Z [2022-11-23 01:55:51,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2789551Z [2022-11-23 01:55:51,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2789968Z [2022-11-23 01:55:51,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2790477Z [2022-11-23 01:55:51,118] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T02:04:39.2790677Z  170           0 LOAD_FAST                1 (x)
2022-11-23T02:04:39.2790811Z               2 BUILD_TUPLE              1
2022-11-23T02:04:39.2790925Z               4 RETURN_VALUE
2022-11-23T02:04:39.2791019Z  
2022-11-23T02:04:39.2791040Z 
2022-11-23T02:04:39.2791467Z [2022-11-23 01:55:51,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T02:04:39.2791734Z [2022-11-23 01:55:51,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.2792060Z [2022-11-23 01:55:51,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:39.2792392Z [2022-11-23 01:55:51,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2792904Z [2022-11-23 01:55:51,118] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fa64119a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T02:04:39.2793285Z [2022-11-23 01:55:51,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2793616Z [2022-11-23 01:55:51,119] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.2793962Z [2022-11-23 01:55:51,120] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.2794302Z [2022-11-23 01:55:51,132] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.2794561Z [2022-11-23 01:55:51,133] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2794733Z  __compiled_fn_224 <eval_with_key>.1795 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2794865Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2795018Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:39.2795161Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T02:04:39.2795304Z output, output, output, ((model_1,),), {}
2022-11-23T02:04:39.2795325Z 
2022-11-23T02:04:39.2795763Z [2022-11-23 01:55:51,134] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2795907Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2796041Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2796149Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2796288Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2796414Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2796545Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2796658Z              12 RETURN_VALUE
2022-11-23T02:04:39.2796678Z 
2022-11-23T02:04:39.2796771Z  
2022-11-23T02:04:39.2797207Z [2022-11-23 01:55:51,134] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2797363Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_224)
2022-11-23T02:04:39.2797482Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2797615Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2797730Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2797863Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.2798017Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.2798163Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2798291Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2798387Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.2798518Z              18 BUILD_TUPLE              1
2022-11-23T02:04:39.2798632Z              20 RETURN_VALUE
2022-11-23T02:04:39.2798714Z 
2022-11-23T02:04:39.2798814Z  
2022-11-23T02:04:39.2799073Z [2022-11-23 01:55:51,135] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2799179Z  - 
2022-11-23T02:04:39.2799348Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2799432Z             {
2022-11-23T02:04:39.2799633Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2799895Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.2800067Z                 'obj_weakref': None
2022-11-23T02:04:39.2800376Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2800471Z             }
2022-11-23T02:04:39.2800570Z             
2022-11-23T02:04:39.2800658Z  - 
2022-11-23T02:04:39.2800833Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2800932Z             {
2022-11-23T02:04:39.2801131Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2801284Z                 'code': None,
2022-11-23T02:04:39.2801571Z                 'obj_weakref': <weakref at 0x7fa550523830; to 'Tensor' at 0x7fa55009b330>
2022-11-23T02:04:39.2801912Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2802052Z             }
2022-11-23T02:04:39.2802156Z             
2022-11-23T02:04:39.2802267Z  - 
2022-11-23T02:04:39.2802437Z             local 'model' NN_MODULE
2022-11-23T02:04:39.2802533Z             {
2022-11-23T02:04:39.2802720Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2802954Z                 'code': ['___check_obj_id(model, 140351387558592)'],
2022-11-23T02:04:39.2803235Z                 'obj_weakref': <weakref at 0x7fa5321f3470; to 'Sequential' at 0x7fa61a9962c0>
2022-11-23T02:04:39.2803553Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:39.2803656Z             }
2022-11-23T02:04:39.2803755Z             
2022-11-23T02:04:39.2803865Z  - 
2022-11-23T02:04:39.2804036Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2804131Z             {
2022-11-23T02:04:39.2804305Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2804602Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2804769Z                 'obj_weakref': None
2022-11-23T02:04:39.2805071Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2805169Z             }
2022-11-23T02:04:39.2805267Z             
2022-11-23T02:04:39.2805373Z  - 
2022-11-23T02:04:39.2805560Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:39.2805770Z             {
2022-11-23T02:04:39.2805944Z                 'guard_types': None,
2022-11-23T02:04:39.2806101Z                 'code': None,
2022-11-23T02:04:39.2806274Z                 'obj_weakref': None
2022-11-23T02:04:39.2806449Z                 'guarded_class': None
2022-11-23T02:04:39.2806554Z             }
2022-11-23T02:04:39.2806631Z             
2022-11-23T02:04:39.2806741Z  - 
2022-11-23T02:04:39.2806943Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:39.2807039Z             {
2022-11-23T02:04:39.2807210Z                 'guard_types': None,
2022-11-23T02:04:39.2807367Z                 'code': None,
2022-11-23T02:04:39.2807535Z                 'obj_weakref': None
2022-11-23T02:04:39.2807687Z                 'guarded_class': None
2022-11-23T02:04:39.2807784Z             }
2022-11-23T02:04:39.2807883Z             
2022-11-23T02:04:39.2807989Z  - 
2022-11-23T02:04:39.2808195Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T02:04:39.2808295Z             {
2022-11-23T02:04:39.2808444Z                 'guard_types': None,
2022-11-23T02:04:39.2808595Z                 'code': None,
2022-11-23T02:04:39.2808760Z                 'obj_weakref': None
2022-11-23T02:04:39.2808933Z                 'guarded_class': None
2022-11-23T02:04:39.2809031Z             }
2022-11-23T02:04:39.2809205Z             
2022-11-23T02:04:39.2809563Z [2022-11-23 01:55:51,194] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 217
2022-11-23T02:04:39.2810040Z [2022-11-23 01:55:53,775] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uq/cuqve6dktr4ebtlkfkul55ys6sfowcdly54acxcxikjyuascok2z.py
2022-11-23T02:04:39.2810397Z [2022-11-23 01:55:53,776] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 217
2022-11-23T02:04:39.2810420Z 
2022-11-23T02:04:39.2810559Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2810664Z import torch
2022-11-23T02:04:39.2810770Z import random
2022-11-23T02:04:39.2810932Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2811106Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2811125Z 
2022-11-23T02:04:39.2811244Z aten = torch.ops.aten
2022-11-23T02:04:39.2811413Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2811554Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2811573Z 
2022-11-23T02:04:39.2811592Z 
2022-11-23T02:04:39.2811788Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2812126Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2812305Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T02:04:39.2812399Z {
2022-11-23T02:04:39.2812542Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2812638Z     {
2022-11-23T02:04:39.2812735Z         #pragma omp for 
2022-11-23T02:04:39.2812856Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.2812955Z         {
2022-11-23T02:04:39.2813168Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.2813362Z             auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp());
2022-11-23T02:04:39.2813500Z             tmp1.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.2813596Z         }
2022-11-23T02:04:39.2813722Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.2813843Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T02:04:39.2813938Z         {
2022-11-23T02:04:39.2814069Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T02:04:39.2814271Z             auto tmp1 = std::exp(-tmp0);
2022-11-23T02:04:39.2814394Z             auto tmp2 = 1 / (1 + tmp1);
2022-11-23T02:04:39.2814516Z             in_out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.2814591Z         }
2022-11-23T02:04:39.2814683Z     }
2022-11-23T02:04:39.2814775Z }
2022-11-23T02:04:39.2814894Z ''')
2022-11-23T02:04:39.2814916Z 
2022-11-23T02:04:39.2814934Z 
2022-11-23T02:04:39.2815068Z async_compile.wait(globals())
2022-11-23T02:04:39.2815178Z del async_compile
2022-11-23T02:04:39.2815198Z 
2022-11-23T02:04:39.2815371Z def call(args):
2022-11-23T02:04:39.2815498Z     primals_1, primals_2, primals_3 = args
2022-11-23T02:04:39.2815606Z     args.clear()
2022-11-23T02:04:39.2815882Z     buf0 = empty_strided((2, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2816799Z     aten.addmm.out(primals_2, primals_3, as_strided(primals_1, (8, 16), (1, 8)), beta=1, alpha=1, out=buf0)
2022-11-23T02:04:39.2817002Z     del primals_1
2022-11-23T02:04:39.2817166Z     del primals_2
2022-11-23T02:04:39.2817382Z     buf1 = buf0; del buf0  # reuse
2022-11-23T02:04:39.2817602Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.2817821Z     return (buf1, primals_3, buf1, )
2022-11-23T02:04:39.2817850Z 
2022-11-23T02:04:39.2817876Z 
2022-11-23T02:04:39.2818031Z if __name__ == "__main__":
2022-11-23T02:04:39.2818198Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2818371Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2818674Z     primals_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2818948Z     primals_2 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2819219Z     primals_3 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2819577Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T02:04:39.2819599Z 
2022-11-23T02:04:39.2819683Z ok (2.677s)
2022-11-23T02:04:39.2820102Z   test_linear2_cpu (__main__.CpuTests) ... [2022-11-23 01:55:53,783] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.2820531Z [2022-11-23 01:55:53,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.2820830Z [2022-11-23 01:55:53,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.2821161Z [2022-11-23 01:55:53,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T02:04:39.2821523Z [2022-11-23 01:55:53,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T02:04:39.2821939Z [2022-11-23 01:55:53,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2822467Z [2022-11-23 01:55:53,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2822894Z [2022-11-23 01:55:53,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2823230Z [2022-11-23 01:55:53,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.2823530Z [2022-11-23 01:55:53,828] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.2823873Z [2022-11-23 01:55:53,830] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.2824211Z [2022-11-23 01:55:53,866] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.2824474Z [2022-11-23 01:55:53,867] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2824662Z  __compiled_fn_225 <eval_with_key>.1806 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2824796Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2824942Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T02:04:39.2825089Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T02:04:39.2825215Z call_module, model_2, model_2, (model_1,), {}
2022-11-23T02:04:39.2825356Z call_module, model_3, model_3, (model_2,), {}
2022-11-23T02:04:39.2825496Z call_module, model_4, model_4, (model_3,), {}
2022-11-23T02:04:39.2825637Z call_module, model_5, model_5, (model_4,), {}
2022-11-23T02:04:39.2825775Z call_module, model_6, model_6, (model_5,), {}
2022-11-23T02:04:39.2825917Z call_module, model_7, model_7, (model_6,), {}
2022-11-23T02:04:39.2826055Z output, output, output, ((model_7,),), {}
2022-11-23T02:04:39.2826075Z 
2022-11-23T02:04:39.2826500Z [2022-11-23 01:55:53,867] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2826637Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2826772Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2826897Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2827029Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2827154Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2827282Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2827395Z              12 RETURN_VALUE
2022-11-23T02:04:39.2827415Z 
2022-11-23T02:04:39.2827488Z  
2022-11-23T02:04:39.2827915Z [2022-11-23 01:55:53,867] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2828071Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_225)
2022-11-23T02:04:39.2828293Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2828426Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2828540Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2828668Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.2828786Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.2828897Z              12 RETURN_VALUE
2022-11-23T02:04:39.2828917Z 
2022-11-23T02:04:39.2829009Z  
2022-11-23T02:04:39.2829263Z [2022-11-23 01:55:53,869] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2829374Z  - 
2022-11-23T02:04:39.2829541Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2829639Z             {
2022-11-23T02:04:39.2829816Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2830072Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.2830245Z                 'obj_weakref': None
2022-11-23T02:04:39.2830547Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2830649Z             }
2022-11-23T02:04:39.2830746Z             
2022-11-23T02:04:39.2830851Z  - 
2022-11-23T02:04:39.2831007Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2831107Z             {
2022-11-23T02:04:39.2831355Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2831517Z                 'code': None,
2022-11-23T02:04:39.2831803Z                 'obj_weakref': <weakref at 0x7fa61a791800; to 'Tensor' at 0x7fa6237e2e30>
2022-11-23T02:04:39.2832142Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2832238Z             }
2022-11-23T02:04:39.2832333Z             
2022-11-23T02:04:39.2832419Z  - 
2022-11-23T02:04:39.2832582Z             local 'model' NN_MODULE
2022-11-23T02:04:39.2832676Z             {
2022-11-23T02:04:39.2832868Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2833101Z                 'code': ['___check_obj_id(model, 140347488113696)'],
2022-11-23T02:04:39.2833401Z                 'obj_weakref': <weakref at 0x7fa5322700e0; to 'Sequential' at 0x7fa5322c9420>
2022-11-23T02:04:39.2833726Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:39.2833804Z             }
2022-11-23T02:04:39.2833902Z             
2022-11-23T02:04:39.2834008Z  - 
2022-11-23T02:04:39.2834181Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2834282Z             {
2022-11-23T02:04:39.2834472Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2834763Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2834913Z                 'obj_weakref': None
2022-11-23T02:04:39.2835213Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2835307Z             }
2022-11-23T02:04:39.2835402Z             
2022-11-23T02:04:39.2835511Z  - 
2022-11-23T02:04:39.2835713Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T02:04:39.2835810Z             {
2022-11-23T02:04:39.2835960Z                 'guard_types': None,
2022-11-23T02:04:39.2836112Z                 'code': None,
2022-11-23T02:04:39.2836282Z                 'obj_weakref': None
2022-11-23T02:04:39.2836453Z                 'guarded_class': None
2022-11-23T02:04:39.2836549Z             }
2022-11-23T02:04:39.2836643Z             
2022-11-23T02:04:39.2836729Z  - 
2022-11-23T02:04:39.2836928Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T02:04:39.2837021Z             {
2022-11-23T02:04:39.2837192Z                 'guard_types': None,
2022-11-23T02:04:39.2837346Z                 'code': None,
2022-11-23T02:04:39.2837510Z                 'obj_weakref': None
2022-11-23T02:04:39.2837677Z                 'guarded_class': None
2022-11-23T02:04:39.2837753Z             }
2022-11-23T02:04:39.2837848Z             
2022-11-23T02:04:39.2838023Z  - 
2022-11-23T02:04:39.2838225Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T02:04:39.2838321Z             {
2022-11-23T02:04:39.2838490Z                 'guard_types': None,
2022-11-23T02:04:39.2838639Z                 'code': None,
2022-11-23T02:04:39.2838789Z                 'obj_weakref': None
2022-11-23T02:04:39.2838956Z                 'guarded_class': None
2022-11-23T02:04:39.2839053Z             }
2022-11-23T02:04:39.2839149Z             
2022-11-23T02:04:39.2839254Z  - 
2022-11-23T02:04:39.2839458Z             local_nn_module 'model[3]' NN_MODULE
2022-11-23T02:04:39.2839535Z             {
2022-11-23T02:04:39.2839703Z                 'guard_types': None,
2022-11-23T02:04:39.2839857Z                 'code': None,
2022-11-23T02:04:39.2840021Z                 'obj_weakref': None
2022-11-23T02:04:39.2840187Z                 'guarded_class': None
2022-11-23T02:04:39.2840284Z             }
2022-11-23T02:04:39.2840379Z             
2022-11-23T02:04:39.2840465Z  - 
2022-11-23T02:04:39.2840665Z             local_nn_module 'model[4]' NN_MODULE
2022-11-23T02:04:39.2840761Z             {
2022-11-23T02:04:39.2840928Z                 'guard_types': None,
2022-11-23T02:04:39.2841079Z                 'code': None,
2022-11-23T02:04:39.2841244Z                 'obj_weakref': None
2022-11-23T02:04:39.2841519Z                 'guarded_class': None
2022-11-23T02:04:39.2841602Z             }
2022-11-23T02:04:39.2841695Z             
2022-11-23T02:04:39.2841803Z  - 
2022-11-23T02:04:39.2842005Z             local_nn_module 'model[5]' NN_MODULE
2022-11-23T02:04:39.2842101Z             {
2022-11-23T02:04:39.2842270Z                 'guard_types': None,
2022-11-23T02:04:39.2842403Z                 'code': None,
2022-11-23T02:04:39.2842575Z                 'obj_weakref': None
2022-11-23T02:04:39.2842745Z                 'guarded_class': None
2022-11-23T02:04:39.2842844Z             }
2022-11-23T02:04:39.2842939Z             
2022-11-23T02:04:39.2843043Z  - 
2022-11-23T02:04:39.2843240Z             local_nn_module 'model[6]' NN_MODULE
2022-11-23T02:04:39.2843322Z             {
2022-11-23T02:04:39.2843489Z                 'guard_types': None,
2022-11-23T02:04:39.2843640Z                 'code': None,
2022-11-23T02:04:39.2843805Z                 'obj_weakref': None
2022-11-23T02:04:39.2843977Z                 'guarded_class': None
2022-11-23T02:04:39.2844077Z             }
2022-11-23T02:04:39.2844171Z             
2022-11-23T02:04:39.2844257Z  - 
2022-11-23T02:04:39.2844463Z             local_nn_module 'model[7]' NN_MODULE
2022-11-23T02:04:39.2844557Z             {
2022-11-23T02:04:39.2844727Z                 'guard_types': None,
2022-11-23T02:04:39.2844881Z                 'code': None,
2022-11-23T02:04:39.2845050Z                 'obj_weakref': None
2022-11-23T02:04:39.2845201Z                 'guarded_class': None
2022-11-23T02:04:39.2845298Z             }
2022-11-23T02:04:39.2845393Z             
2022-11-23T02:04:39.2845750Z [2022-11-23 01:55:54,059] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 218
2022-11-23T02:04:39.2846252Z [2022-11-23 01:55:56,771] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/io/cionaltqbq6mkcyp7yyhee5bbs3aznybxctx3vmnuurfro27uvy5.py
2022-11-23T02:04:39.2846616Z [2022-11-23 01:55:56,771] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 218
2022-11-23T02:04:39.2846638Z 
2022-11-23T02:04:39.2846775Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2846879Z import torch
2022-11-23T02:04:39.2846967Z import random
2022-11-23T02:04:39.2847130Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2847302Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2847323Z 
2022-11-23T02:04:39.2847437Z aten = torch.ops.aten
2022-11-23T02:04:39.2847626Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2847769Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2847788Z 
2022-11-23T02:04:39.2847807Z 
2022-11-23T02:04:39.2848005Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2848424Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2848572Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T02:04:39.2848664Z {
2022-11-23T02:04:39.2848808Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2848904Z     {
2022-11-23T02:04:39.2849023Z         #pragma omp for 
2022-11-23T02:04:39.2849146Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.2849244Z         {
2022-11-23T02:04:39.2849448Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.2849628Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T02:04:39.2849771Z             tmp1.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.2849869Z         }
2022-11-23T02:04:39.2850008Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.2850128Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T02:04:39.2850224Z         {
2022-11-23T02:04:39.2850342Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T02:04:39.2850475Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T02:04:39.2850592Z             in_out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.2850690Z         }
2022-11-23T02:04:39.2850784Z     }
2022-11-23T02:04:39.2850933Z }
2022-11-23T02:04:39.2851066Z ''')
2022-11-23T02:04:39.2851086Z 
2022-11-23T02:04:39.2851105Z 
2022-11-23T02:04:39.2851275Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T02:04:39.2851555Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2851725Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T02:04:39.2851815Z {
2022-11-23T02:04:39.2851956Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2852051Z     {
2022-11-23T02:04:39.2852168Z         #pragma omp for 
2022-11-23T02:04:39.2852270Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.2852364Z         {
2022-11-23T02:04:39.2852561Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.2852745Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T02:04:39.2852884Z             tmp1.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.2852980Z         }
2022-11-23T02:04:39.2853123Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.2853246Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T02:04:39.2853322Z         {
2022-11-23T02:04:39.2853453Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T02:04:39.2853583Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T02:04:39.2853708Z             in_out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.2853803Z         }
2022-11-23T02:04:39.2853897Z     }
2022-11-23T02:04:39.2853969Z }
2022-11-23T02:04:39.2854092Z ''')
2022-11-23T02:04:39.2854111Z 
2022-11-23T02:04:39.2854129Z 
2022-11-23T02:04:39.2854316Z kernel_cpp_2 = async_compile.cpp('''
2022-11-23T02:04:39.2854596Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2854764Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T02:04:39.2854857Z {
2022-11-23T02:04:39.2854996Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2855090Z     {
2022-11-23T02:04:39.2855187Z         #pragma omp for 
2022-11-23T02:04:39.2855310Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.2855407Z         {
2022-11-23T02:04:39.2855601Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.2855781Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T02:04:39.2855923Z             tmp1.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.2856020Z         }
2022-11-23T02:04:39.2856771Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.2856977Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T02:04:39.2857121Z         {
2022-11-23T02:04:39.2857331Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T02:04:39.2857533Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T02:04:39.2857956Z             in_out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.2858108Z         }
2022-11-23T02:04:39.2858236Z     }
2022-11-23T02:04:39.2858383Z }
2022-11-23T02:04:39.2858553Z ''')
2022-11-23T02:04:39.2858573Z 
2022-11-23T02:04:39.2858591Z 
2022-11-23T02:04:39.2858787Z kernel_cpp_3 = async_compile.cpp('''
2022-11-23T02:04:39.2859066Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2859232Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.2859374Z                        bool* __restrict__ out_ptr0)
2022-11-23T02:04:39.2859447Z {
2022-11-23T02:04:39.2859587Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2859680Z     {
2022-11-23T02:04:39.2859797Z         #pragma omp for 
2022-11-23T02:04:39.2859918Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.2860014Z         {
2022-11-23T02:04:39.2860115Z             {
2022-11-23T02:04:39.2860194Z                 {
2022-11-23T02:04:39.2860338Z                     auto tmp0 = in_out_ptr0[i0];
2022-11-23T02:04:39.2860475Z                     auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T02:04:39.2860624Z                     auto tmp2 = static_cast<float>(0);
2022-11-23T02:04:39.2860762Z                     auto tmp3 = tmp1 <= tmp2;
2022-11-23T02:04:39.2860972Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.2861108Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:39.2861190Z                 }
2022-11-23T02:04:39.2861286Z             }
2022-11-23T02:04:39.2861380Z         }
2022-11-23T02:04:39.2861474Z     }
2022-11-23T02:04:39.2861566Z }
2022-11-23T02:04:39.2861690Z ''')
2022-11-23T02:04:39.2861710Z 
2022-11-23T02:04:39.2861728Z 
2022-11-23T02:04:39.2861860Z async_compile.wait(globals())
2022-11-23T02:04:39.2861949Z del async_compile
2022-11-23T02:04:39.2861967Z 
2022-11-23T02:04:39.2862077Z def call(args):
2022-11-23T02:04:39.2862310Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9 = args
2022-11-23T02:04:39.2862424Z     args.clear()
2022-11-23T02:04:39.2862694Z     buf0 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2862924Z     aten.addmm.out(primals_2, primals_9, as_strided(primals_1, (8, 8), (1, 8)), beta=1, alpha=1, out=buf0)
2022-11-23T02:04:39.2863031Z     del primals_1
2022-11-23T02:04:39.2863118Z     del primals_2
2022-11-23T02:04:39.2863241Z     buf1 = buf0; del buf0  # reuse
2022-11-23T02:04:39.2863387Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.2863651Z     buf2 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2863869Z     aten.addmm.out(primals_4, buf1, as_strided(primals_3, (8, 8), (1, 8)), beta=1, alpha=1, out=buf2)
2022-11-23T02:04:39.2863977Z     del primals_4
2022-11-23T02:04:39.2864099Z     buf3 = buf2; del buf2  # reuse
2022-11-23T02:04:39.2864247Z     kernel_cpp_1(c_void_p(buf3.data_ptr()))
2022-11-23T02:04:39.2864495Z     buf4 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2864714Z     aten.addmm.out(primals_6, buf3, as_strided(primals_5, (8, 8), (1, 8)), beta=1, alpha=1, out=buf4)
2022-11-23T02:04:39.2864822Z     del primals_6
2022-11-23T02:04:39.2864944Z     buf5 = buf4; del buf4  # reuse
2022-11-23T02:04:39.2865092Z     kernel_cpp_2(c_void_p(buf5.data_ptr()))
2022-11-23T02:04:39.2865355Z     buf6 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2865573Z     aten.addmm.out(primals_8, buf5, as_strided(primals_7, (8, 8), (1, 8)), beta=1, alpha=1, out=buf6)
2022-11-23T02:04:39.2865663Z     del primals_8
2022-11-23T02:04:39.2865786Z     buf7 = buf6; del buf6  # reuse
2022-11-23T02:04:39.2866044Z     buf8 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.2866230Z     kernel_cpp_3(c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T02:04:39.2866503Z     return (buf7, primals_9, buf1, buf3, buf5, buf8, as_strided(primals_7, (8, 8), (8, 1)), as_strided(primals_5, (8, 8), (8, 1)), as_strided(primals_3, (8, 8), (8, 1)), )
2022-11-23T02:04:39.2866577Z 
2022-11-23T02:04:39.2866595Z 
2022-11-23T02:04:39.2866714Z if __name__ == "__main__":
2022-11-23T02:04:39.2866879Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2867059Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2867317Z     primals_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2867591Z     primals_2 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2867860Z     primals_3 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2868128Z     primals_4 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2868400Z     primals_5 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2868662Z     primals_6 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2868930Z     primals_7 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2869194Z     primals_8 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2869518Z     primals_9 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2869787Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9]))
2022-11-23T02:04:39.2869808Z 
2022-11-23T02:04:39.2869912Z ok (2.996s)
2022-11-23T02:04:39.2870084Z   test_linear_binary_cpu (__main__.CpuTests) ... ok (0.025s)
2022-11-23T02:04:39.2870252Z   test_linear_unary_cpu (__main__.CpuTests) ... ok (0.001s)
2022-11-23T02:04:39.2870673Z   test_linspace_cpu (__main__.CpuTests) ... [2022-11-23 01:55:56,804] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.2871102Z [2022-11-23 01:55:56,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.2871401Z [2022-11-23 01:55:56,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.2871747Z [2022-11-23 01:55:56,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.2872122Z [2022-11-23 01:55:56,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.2872534Z [2022-11-23 01:55:56,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2872999Z [2022-11-23 01:55:56,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2873426Z [2022-11-23 01:55:56,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2873928Z [2022-11-23 01:55:56,806] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115b050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 908> 
2022-11-23T02:04:39.2874071Z  909           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2874214Z               2 LOAD_ATTR                1 (linspace)
2022-11-23T02:04:39.2874344Z               4 LOAD_CONST               1 (0.125)
2022-11-23T02:04:39.2874475Z               6 LOAD_CONST               2 (0.875)
2022-11-23T02:04:39.2874602Z               8 LOAD_CONST               3 (7)
2022-11-23T02:04:39.2874714Z              10 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2874850Z              12 LOAD_ATTR                2 (device)
2022-11-23T02:04:39.2875066Z              14 LOAD_CONST               4 (('device',))
2022-11-23T02:04:39.2875199Z              16 CALL_FUNCTION_KW         4
2022-11-23T02:04:39.2875329Z              18 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2875501Z              20 BINARY_ADD
2022-11-23T02:04:39.2875616Z              22 RETURN_VALUE
2022-11-23T02:04:39.2875691Z  
2022-11-23T02:04:39.2875710Z 
2022-11-23T02:04:39.2876146Z [2022-11-23 01:55:56,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:909
2022-11-23T02:04:39.2876451Z [2022-11-23 01:55:56,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.2876948Z [2022-11-23 01:55:56,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linspace [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2877390Z [2022-11-23 01:55:56,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.125 [TorchVariable(<built-in method linspace of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.2877880Z [2022-11-23 01:55:56,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.875 [TorchVariable(<built-in method linspace of type object at 0x7fa5855aec60>), ConstantVariable(float)]
2022-11-23T02:04:39.2878484Z [2022-11-23 01:55:56,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(<built-in method linspace of type object at 0x7fa5855aec60>), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T02:04:39.2879087Z [2022-11-23 01:55:56,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method linspace of type object at 0x7fa5855aec60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T02:04:39.2879728Z [2022-11-23 01:55:56,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method linspace of type object at 0x7fa5855aec60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.2880380Z [2022-11-23 01:55:56,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method linspace of type object at 0x7fa5855aec60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T02:04:39.2881083Z [2022-11-23 01:55:56,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TorchVariable(<built-in method linspace of type object at 0x7fa5855aec60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:39.2881412Z [2022-11-23 01:55:56,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T02:04:39.2881781Z [2022-11-23 01:55:56,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2882097Z [2022-11-23 01:55:56,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.2882606Z [2022-11-23 01:55:56,815] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115b050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 908>
2022-11-23T02:04:39.2882945Z [2022-11-23 01:55:56,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.2883266Z [2022-11-23 01:55:56,815] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.2883609Z [2022-11-23 01:55:56,816] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.2883947Z [2022-11-23 01:55:56,826] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.2884209Z [2022-11-23 01:55:56,826] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2884478Z  __compiled_fn_226 <eval_with_key>.1817 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2884611Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2884994Z call_function, linspace, <built-in method linspace of type object at 0x7fa5855aec60>, (0.125, 0.875, 7), {'device': device(type='cpu')}
2022-11-23T02:04:39.2885330Z call_function, add, <built-in function add>, (linspace, ex_0_), {}
2022-11-23T02:04:39.2885469Z output, output, output, ((add,),), {}
2022-11-23T02:04:39.2885489Z 
2022-11-23T02:04:39.2885926Z [2022-11-23 01:55:56,827] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2886066Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2886201Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2886331Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2886466Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2886573Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2886705Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2886823Z              12 RETURN_VALUE
2022-11-23T02:04:39.2886844Z 
2022-11-23T02:04:39.2886938Z  
2022-11-23T02:04:39.2887373Z [2022-11-23 01:55:56,827] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2887532Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_226)
2022-11-23T02:04:39.2887721Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2887858Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2887952Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2888081Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.2888213Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.2888326Z              12 RETURN_VALUE
2022-11-23T02:04:39.2888346Z 
2022-11-23T02:04:39.2888434Z  
2022-11-23T02:04:39.2888693Z [2022-11-23 01:55:56,828] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2888805Z  - 
2022-11-23T02:04:39.2888957Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2889056Z             {
2022-11-23T02:04:39.2889254Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2889518Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.2889687Z                 'obj_weakref': None
2022-11-23T02:04:39.2889999Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2890097Z             }
2022-11-23T02:04:39.2890175Z             
2022-11-23T02:04:39.2890281Z  - 
2022-11-23T02:04:39.2890457Z             local 'ex[0]' TYPE_MATCH
2022-11-23T02:04:39.2890554Z             {
2022-11-23T02:04:39.2890749Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T02:04:39.2890989Z                 'code': ['___check_type_id(ex[0], 93849142100368)'],
2022-11-23T02:04:39.2891286Z                 'obj_weakref': <weakref at 0x7fa55032f6a0; to 'Tensor' at 0x7fa6237e2fc0>
2022-11-23T02:04:39.2891607Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2891705Z             }
2022-11-23T02:04:39.2891802Z             
2022-11-23T02:04:39.2891920Z  - 
2022-11-23T02:04:39.2892097Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2892193Z             {
2022-11-23T02:04:39.2892392Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2892529Z                 'code': None,
2022-11-23T02:04:39.2892817Z                 'obj_weakref': <weakref at 0x7fa55032f6a0; to 'Tensor' at 0x7fa6237e2fc0>
2022-11-23T02:04:39.2893163Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2893259Z             }
2022-11-23T02:04:39.2893357Z             
2022-11-23T02:04:39.2893461Z  - 
2022-11-23T02:04:39.2893646Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.2893724Z             {
2022-11-23T02:04:39.2893917Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2894153Z                 'code': ['___check_obj_id(model, 140347657931648)'],
2022-11-23T02:04:39.2894458Z                 'obj_weakref': None
2022-11-23T02:04:39.2894766Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.2894863Z             }
2022-11-23T02:04:39.2894961Z             
2022-11-23T02:04:39.2895048Z  - 
2022-11-23T02:04:39.2895226Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2895322Z             {
2022-11-23T02:04:39.2895509Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2895801Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2895965Z                 'obj_weakref': None
2022-11-23T02:04:39.2896929Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2897066Z             }
2022-11-23T02:04:39.2897219Z             
2022-11-23T02:04:39.2897403Z  - 
2022-11-23T02:04:39.2897719Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.2897875Z             {
2022-11-23T02:04:39.2898107Z                 'guard_types': None,
2022-11-23T02:04:39.2898261Z                 'code': None,
2022-11-23T02:04:39.2898407Z                 'obj_weakref': None
2022-11-23T02:04:39.2898579Z                 'guarded_class': None
2022-11-23T02:04:39.2898674Z             }
2022-11-23T02:04:39.2898913Z             
2022-11-23T02:04:39.2899281Z [2022-11-23 01:55:56,840] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 219
2022-11-23T02:04:39.2899768Z [2022-11-23 01:55:59,440] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4n/c4npp2w3iyex7ezxi2xunexpfyyha4t5sjbfyuw22ii4mbmzsycc.py
2022-11-23T02:04:39.2900126Z [2022-11-23 01:55:59,440] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 219
2022-11-23T02:04:39.2900147Z 
2022-11-23T02:04:39.2900283Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2900370Z import torch
2022-11-23T02:04:39.2900478Z import random
2022-11-23T02:04:39.2900650Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2900821Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2900840Z 
2022-11-23T02:04:39.2900957Z aten = torch.ops.aten
2022-11-23T02:04:39.2901148Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2901283Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2901303Z 
2022-11-23T02:04:39.2901322Z 
2022-11-23T02:04:39.2901514Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2901774Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2901941Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.2902083Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.2902176Z {
2022-11-23T02:04:39.2902292Z     #pragma GCC ivdep
2022-11-23T02:04:39.2902412Z     for(long i0=0; i0<7; i0+=1)
2022-11-23T02:04:39.2902505Z     {
2022-11-23T02:04:39.2902582Z         {
2022-11-23T02:04:39.2902682Z             {
2022-11-23T02:04:39.2902813Z                 auto tmp4 = in_ptr0[i0];
2022-11-23T02:04:39.2902964Z                 auto tmp0 = static_cast<float>(0.125);
2022-11-23T02:04:39.2903112Z                 auto tmp1 = static_cast<float>(i0);
2022-11-23T02:04:39.2903242Z                 auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.2903434Z                 auto tmp3 = tmp2 + tmp0;
2022-11-23T02:04:39.2903541Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T02:04:39.2903661Z                 out_ptr0[i0] = tmp5;
2022-11-23T02:04:39.2903759Z             }
2022-11-23T02:04:39.2903853Z         }
2022-11-23T02:04:39.2903946Z     }
2022-11-23T02:04:39.2904036Z }
2022-11-23T02:04:39.2904138Z ''')
2022-11-23T02:04:39.2904177Z 
2022-11-23T02:04:39.2904195Z 
2022-11-23T02:04:39.2904308Z async_compile.wait(globals())
2022-11-23T02:04:39.2904417Z del async_compile
2022-11-23T02:04:39.2904437Z 
2022-11-23T02:04:39.2904543Z def call(args):
2022-11-23T02:04:39.2904647Z     arg0_1, = args
2022-11-23T02:04:39.2904851Z     args.clear()
2022-11-23T02:04:39.2905126Z     buf0 = empty_strided((1, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2905313Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.2905399Z     del arg0_1
2022-11-23T02:04:39.2905510Z     return (buf0, )
2022-11-23T02:04:39.2905529Z 
2022-11-23T02:04:39.2905547Z 
2022-11-23T02:04:39.2905660Z if __name__ == "__main__":
2022-11-23T02:04:39.2905821Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2905995Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2906263Z     arg0_1 = rand_strided((1, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2906414Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.2906433Z 
2022-11-23T02:04:39.2906537Z ok (2.642s)
2022-11-23T02:04:39.2906965Z   test_list_clearing_cpu (__main__.CpuTests) ... [2022-11-23 01:55:59,453] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T02:04:39.2907466Z [2022-11-23 01:56:02,020] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sk/cskxpaxgrzggloeounxd7nvqbvfdxeq665vrvejtc7viigi5i73j.py
2022-11-23T02:04:39.2907868Z [2022-11-23 01:56:02,021] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T02:04:39.2907891Z 
2022-11-23T02:04:39.2908030Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2908138Z import torch
2022-11-23T02:04:39.2908242Z import random
2022-11-23T02:04:39.2908404Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2908577Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2908596Z 
2022-11-23T02:04:39.2908693Z aten = torch.ops.aten
2022-11-23T02:04:39.2908882Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2909020Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2909039Z 
2022-11-23T02:04:39.2909057Z 
2022-11-23T02:04:39.2909252Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2909537Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2909703Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.2909854Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.2909999Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.2910072Z {
2022-11-23T02:04:39.2910213Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2910306Z     {
2022-11-23T02:04:39.2910421Z         #pragma omp for 
2022-11-23T02:04:39.2910543Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T02:04:39.2910638Z         {
2022-11-23T02:04:39.2910849Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.2911018Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.2911148Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.2911280Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.2911381Z         }
2022-11-23T02:04:39.2911519Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.2911641Z         for(long i0=24; i0<25; i0+=1)
2022-11-23T02:04:39.2911736Z         {
2022-11-23T02:04:39.2911842Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.2911967Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:39.2912089Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.2912207Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.2912300Z         }
2022-11-23T02:04:39.2912394Z     }
2022-11-23T02:04:39.2912484Z }
2022-11-23T02:04:39.2912587Z ''')
2022-11-23T02:04:39.2912607Z 
2022-11-23T02:04:39.2912625Z 
2022-11-23T02:04:39.2912757Z async_compile.wait(globals())
2022-11-23T02:04:39.2912864Z del async_compile
2022-11-23T02:04:39.2912883Z 
2022-11-23T02:04:39.2912992Z def call(args):
2022-11-23T02:04:39.2913095Z     x_1, y_1 = args
2022-11-23T02:04:39.2913201Z     args.clear()
2022-11-23T02:04:39.2913466Z     buf0 = empty_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2913751Z     kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(y_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.2913850Z     del x_1
2022-11-23T02:04:39.2913946Z     del y_1
2022-11-23T02:04:39.2914220Z     buf1 = empty_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2914353Z     aten.mm.out(buf0, buf0, out=buf1)
2022-11-23T02:04:39.2914463Z     return (buf1, )
2022-11-23T02:04:39.2914483Z 
2022-11-23T02:04:39.2914501Z 
2022-11-23T02:04:39.2914616Z if __name__ == "__main__":
2022-11-23T02:04:39.2914778Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2914932Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2915192Z     x_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2915449Z     y_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2915605Z     print_performance(lambda: call([x_1, y_1]))
2022-11-23T02:04:39.2915628Z 
2022-11-23T02:04:39.2915726Z ok (2.580s)
2022-11-23T02:04:39.2916129Z   test_log2_cpu (__main__.CpuTests) ... [2022-11-23 01:56:02,027] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.2916607Z [2022-11-23 01:56:02,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.2916913Z [2022-11-23 01:56:02,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.2917236Z [2022-11-23 01:56:02,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.2917610Z [2022-11-23 01:56:02,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.2918040Z [2022-11-23 01:56:02,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2918504Z [2022-11-23 01:56:02,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2918942Z [2022-11-23 01:56:02,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2919443Z [2022-11-23 01:56:02,028] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9e8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2691> 
2022-11-23T02:04:39.2919585Z  2692           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2919723Z                2 LOAD_METHOD              1 (log2)
2022-11-23T02:04:39.2919855Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2919986Z                6 CALL_METHOD              1
2022-11-23T02:04:39.2920103Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2920238Z               10 LOAD_METHOD              1 (log2)
2022-11-23T02:04:39.2920368Z               12 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2920497Z               14 LOAD_CONST               1 (1)
2022-11-23T02:04:39.2920606Z               16 BINARY_ADD
2022-11-23T02:04:39.2920815Z               18 CALL_METHOD              1
2022-11-23T02:04:39.2920947Z               20 LOAD_CONST               2 (2)
2022-11-23T02:04:39.2921046Z               22 BINARY_SUBTRACT
2022-11-23T02:04:39.2921175Z               24 BUILD_TUPLE              2
2022-11-23T02:04:39.2921288Z               26 RETURN_VALUE
2022-11-23T02:04:39.2921379Z  
2022-11-23T02:04:39.2921398Z 
2022-11-23T02:04:39.2921825Z [2022-11-23 01:56:02,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2692
2022-11-23T02:04:39.2930026Z [2022-11-23 01:56:02,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.2930673Z [2022-11-23 01:56:02,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2931299Z [2022-11-23 01:56:02,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method log2 of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.2931783Z [2022-11-23 01:56:02,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method log2 of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.2932123Z [2022-11-23 01:56:02,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.2932652Z [2022-11-23 01:56:02,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2933118Z [2022-11-23 01:56:02,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.2933689Z [2022-11-23 01:56:02,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.2934264Z [2022-11-23 01:56:02,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2934753Z [2022-11-23 01:56:02,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.2935117Z [2022-11-23 01:56:02,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2935546Z [2022-11-23 01:56:02,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.2935917Z [2022-11-23 01:56:02,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2937152Z [2022-11-23 01:56:02,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2938078Z [2022-11-23 01:56:02,037] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9e8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2691>
2022-11-23T02:04:39.2938533Z [2022-11-23 01:56:02,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2938863Z [2022-11-23 01:56:02,037] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.2939214Z [2022-11-23 01:56:02,039] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.2939560Z [2022-11-23 01:56:02,045] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.2939802Z [2022-11-23 01:56:02,046] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2940003Z  __compiled_fn_227 <eval_with_key>.1824 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2940140Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2940452Z call_function, log2, <built-in method log2 of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.2940694Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.2940999Z call_function, log2_1, <built-in method log2 of type object at 0x7fa5855aec60>, (add,), {}
2022-11-23T02:04:39.2941241Z call_function, sub, <built-in function sub>, (log2_1, 2), {}
2022-11-23T02:04:39.2941392Z output, output, output, ((log2, sub),), {}
2022-11-23T02:04:39.2941418Z 
2022-11-23T02:04:39.2941834Z [2022-11-23 01:56:02,046] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2942152Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2942293Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2942427Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2942566Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2942693Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2942828Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2942950Z              12 RETURN_VALUE
2022-11-23T02:04:39.2942970Z 
2022-11-23T02:04:39.2943044Z  
2022-11-23T02:04:39.2943489Z [2022-11-23 01:56:02,046] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2943653Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_227)
2022-11-23T02:04:39.2943790Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2943934Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2944054Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2944183Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.2944384Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.2944548Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2944682Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2944799Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.2944948Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2945087Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.2945202Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.2945331Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.2945425Z              26 RETURN_VALUE
2022-11-23T02:04:39.2945445Z 
2022-11-23T02:04:39.2945541Z  
2022-11-23T02:04:39.2945807Z [2022-11-23 01:56:02,047] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2945922Z  - 
2022-11-23T02:04:39.2946097Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2946199Z             {
2022-11-23T02:04:39.2946399Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2946640Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.2946815Z                 'obj_weakref': None
2022-11-23T02:04:39.2947129Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2947233Z             }
2022-11-23T02:04:39.2947333Z             
2022-11-23T02:04:39.2947442Z  - 
2022-11-23T02:04:39.2947622Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2947700Z             {
2022-11-23T02:04:39.2947945Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2948064Z                 'code': None,
2022-11-23T02:04:39.2948354Z                 'obj_weakref': <weakref at 0x7fa531e85b70; to 'Tensor' at 0x7fa550523290>
2022-11-23T02:04:39.2948703Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2948808Z             }
2022-11-23T02:04:39.2948908Z             
2022-11-23T02:04:39.2948994Z  - 
2022-11-23T02:04:39.2949186Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.2949332Z             {
2022-11-23T02:04:39.2949482Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2949721Z                 'code': ['___check_obj_id(model, 140351386872576)'],
2022-11-23T02:04:39.2949893Z                 'obj_weakref': None
2022-11-23T02:04:39.2950211Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.2950290Z             }
2022-11-23T02:04:39.2950390Z             
2022-11-23T02:04:39.2950523Z  - 
2022-11-23T02:04:39.2950679Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2950779Z             {
2022-11-23T02:04:39.2951063Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2951359Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2951540Z                 'obj_weakref': None
2022-11-23T02:04:39.2951856Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2951958Z             }
2022-11-23T02:04:39.2952037Z             
2022-11-23T02:04:39.2952129Z  - 
2022-11-23T02:04:39.2952340Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.2952464Z             {
2022-11-23T02:04:39.2952570Z                 'guard_types': None,
2022-11-23T02:04:39.2952726Z                 'code': None,
2022-11-23T02:04:39.2952894Z                 'obj_weakref': None
2022-11-23T02:04:39.2953110Z                 'guarded_class': None
2022-11-23T02:04:39.2953280Z             }
2022-11-23T02:04:39.2953379Z             
2022-11-23T02:04:39.2953710Z [2022-11-23 01:56:02,061] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 220
2022-11-23T02:04:39.2954211Z [2022-11-23 01:56:04,667] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uu/cuueixdbcuir5ihcayl5hktxztoropjtifcll55edi565lgccp7f.py
2022-11-23T02:04:39.2954625Z [2022-11-23 01:56:04,667] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 220
2022-11-23T02:04:39.2954648Z 
2022-11-23T02:04:39.2954795Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2954903Z import torch
2022-11-23T02:04:39.2955013Z import random
2022-11-23T02:04:39.2955181Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2955356Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2955376Z 
2022-11-23T02:04:39.2955499Z aten = torch.ops.aten
2022-11-23T02:04:39.2955669Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2955807Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2955826Z 
2022-11-23T02:04:39.2955845Z 
2022-11-23T02:04:39.2956050Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2956338Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2956508Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.2956660Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.2956806Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.2956900Z {
2022-11-23T02:04:39.2957024Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2957122Z     {
2022-11-23T02:04:39.2957243Z         #pragma omp for 
2022-11-23T02:04:39.2957366Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.2957469Z         {
2022-11-23T02:04:39.2957705Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.2957813Z             auto tmp1 = tmp0.log();
2022-11-23T02:04:39.2958021Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1.4426950408889634));
2022-11-23T02:04:39.2958154Z             auto tmp3 = tmp1 * tmp2;
2022-11-23T02:04:39.2958340Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.2958467Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T02:04:39.2958596Z             auto tmp6 = tmp5.log();
2022-11-23T02:04:39.2958727Z             auto tmp7 = tmp6 * tmp2;
2022-11-23T02:04:39.2958916Z             auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:39.2959084Z             auto tmp9 = tmp7 - tmp8;
2022-11-23T02:04:39.2959222Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.2959361Z             tmp9.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.2959459Z         }
2022-11-23T02:04:39.2959600Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.2959729Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.2959829Z         {
2022-11-23T02:04:39.2959932Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.2960068Z             auto tmp1 = std::log(tmp0);
2022-11-23T02:04:39.2960300Z             auto tmp2 = static_cast<float>(1.4426950408889634);
2022-11-23T02:04:39.2960425Z             auto tmp3 = tmp1 * tmp2;
2022-11-23T02:04:39.2960573Z             auto tmp4 = static_cast<float>(1);
2022-11-23T02:04:39.2960698Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T02:04:39.2960835Z             auto tmp6 = std::log(tmp5);
2022-11-23T02:04:39.2960939Z             auto tmp7 = tmp6 * tmp2;
2022-11-23T02:04:39.2961083Z             auto tmp8 = static_cast<float>(2);
2022-11-23T02:04:39.2961269Z             auto tmp9 = tmp7 - tmp8;
2022-11-23T02:04:39.2961395Z             out_ptr0[i0] = tmp3;
2022-11-23T02:04:39.2961529Z             out_ptr1[i0] = tmp9;
2022-11-23T02:04:39.2961605Z         }
2022-11-23T02:04:39.2961704Z     }
2022-11-23T02:04:39.2961800Z }
2022-11-23T02:04:39.2961922Z ''')
2022-11-23T02:04:39.2961942Z 
2022-11-23T02:04:39.2961960Z 
2022-11-23T02:04:39.2962098Z async_compile.wait(globals())
2022-11-23T02:04:39.2962212Z del async_compile
2022-11-23T02:04:39.2962235Z 
2022-11-23T02:04:39.2962347Z def call(args):
2022-11-23T02:04:39.2962433Z     arg0_1, = args
2022-11-23T02:04:39.2962547Z     args.clear()
2022-11-23T02:04:39.2962820Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2963135Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2963382Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.2963493Z     del arg0_1
2022-11-23T02:04:39.2963612Z     return (buf0, buf1, )
2022-11-23T02:04:39.2963632Z 
2022-11-23T02:04:39.2963650Z 
2022-11-23T02:04:39.2963774Z if __name__ == "__main__":
2022-11-23T02:04:39.2963916Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2964095Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2964370Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.2964533Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.2964555Z 
2022-11-23T02:04:39.2964663Z ok (2.647s)
2022-11-23T02:04:39.2965079Z   test_log_fp64_cpu (__main__.CpuTests) ... [2022-11-23 01:56:04,674] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.2965522Z [2022-11-23 01:56:04,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.2965826Z [2022-11-23 01:56:04,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.2966146Z [2022-11-23 01:56:04,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.2966533Z [2022-11-23 01:56:04,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.2966967Z [2022-11-23 01:56:04,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2967436Z [2022-11-23 01:56:04,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2967881Z [2022-11-23 01:56:04,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.2968386Z [2022-11-23 01:56:04,675] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9eb80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2709> 
2022-11-23T02:04:39.2968532Z  2710           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2968672Z                2 LOAD_METHOD              1 (log)
2022-11-23T02:04:39.2968812Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2968948Z                6 CALL_METHOD              1
2022-11-23T02:04:39.2969067Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.2969278Z               10 LOAD_METHOD              2 (log2)
2022-11-23T02:04:39.2969412Z               12 LOAD_FAST                0 (x)
2022-11-23T02:04:39.2969544Z               14 CALL_METHOD              1
2022-11-23T02:04:39.2969680Z               16 BUILD_TUPLE              2
2022-11-23T02:04:39.2969806Z               18 RETURN_VALUE
2022-11-23T02:04:39.2969905Z  
2022-11-23T02:04:39.2969924Z 
2022-11-23T02:04:39.2970335Z [2022-11-23 01:56:04,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2710
2022-11-23T02:04:39.2970636Z [2022-11-23 01:56:04,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.2971131Z [2022-11-23 01:56:04,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2971570Z [2022-11-23 01:56:04,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method log of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.2972109Z [2022-11-23 01:56:04,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method log of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.2972457Z [2022-11-23 01:56:04,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.2972989Z [2022-11-23 01:56:04,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.2973460Z [2022-11-23 01:56:04,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.2973978Z [2022-11-23 01:56:04,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.2974433Z [2022-11-23 01:56:04,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.2974778Z [2022-11-23 01:56:04,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2975259Z [2022-11-23 01:56:04,680] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9eb80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2709>
2022-11-23T02:04:39.2975598Z [2022-11-23 01:56:04,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.2975920Z [2022-11-23 01:56:04,681] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.2977080Z [2022-11-23 01:56:04,682] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.2977712Z [2022-11-23 01:56:04,687] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.2978159Z [2022-11-23 01:56:04,688] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.2978463Z  __compiled_fn_228 <eval_with_key>.1830 opcode, name, target, args, kwargs
2022-11-23T02:04:39.2978612Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.2978930Z call_function, log, <built-in method log of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.2979216Z call_function, log2, <built-in method log2 of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.2979369Z output, output, output, ((log, log2),), {}
2022-11-23T02:04:39.2979390Z 
2022-11-23T02:04:39.2979835Z [2022-11-23 01:56:04,688] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2979974Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.2980281Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2980413Z               4 BUILD_MAP                0
2022-11-23T02:04:39.2980553Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.2980685Z               8 DICT_MERGE               1
2022-11-23T02:04:39.2980801Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.2980924Z              12 RETURN_VALUE
2022-11-23T02:04:39.2980944Z 
2022-11-23T02:04:39.2981042Z  
2022-11-23T02:04:39.2981485Z [2022-11-23 01:56:04,689] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.2981646Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_228)
2022-11-23T02:04:39.2981781Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.2981918Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2982040Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.2982149Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.2982308Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.2982461Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2982598Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.2982789Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.2982945Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.2983082Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.2983176Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.2983308Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.2983423Z              26 RETURN_VALUE
2022-11-23T02:04:39.2983443Z 
2022-11-23T02:04:39.2983542Z  
2022-11-23T02:04:39.2983801Z [2022-11-23 01:56:04,690] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.2983915Z  - 
2022-11-23T02:04:39.2984090Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.2984169Z             {
2022-11-23T02:04:39.2984370Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.2984689Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.2984865Z                 'obj_weakref': None
2022-11-23T02:04:39.2985181Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.2985287Z             }
2022-11-23T02:04:39.2985391Z             
2022-11-23T02:04:39.2985479Z  - 
2022-11-23T02:04:39.2985659Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.2985760Z             {
2022-11-23T02:04:39.2985964Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.2986124Z                 'code': None,
2022-11-23T02:04:39.2986417Z                 'obj_weakref': <weakref at 0x7fa532273380; to 'Tensor' at 0x7fa550523290>
2022-11-23T02:04:39.2986763Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.2986842Z             }
2022-11-23T02:04:39.2986948Z             
2022-11-23T02:04:39.2987060Z  - 
2022-11-23T02:04:39.2987245Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.2987350Z             {
2022-11-23T02:04:39.2987543Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.2987786Z                 'code': ['___check_obj_id(model, 140347990409856)'],
2022-11-23T02:04:39.2987937Z                 'obj_weakref': None
2022-11-23T02:04:39.2988257Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.2988361Z             }
2022-11-23T02:04:39.2988464Z             
2022-11-23T02:04:39.2988574Z  - 
2022-11-23T02:04:39.2988758Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.2988858Z             {
2022-11-23T02:04:39.2989029Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.2989333Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.2989505Z                 'obj_weakref': None
2022-11-23T02:04:39.2989920Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.2990022Z             }
2022-11-23T02:04:39.2990123Z             
2022-11-23T02:04:39.2990236Z  - 
2022-11-23T02:04:39.2990406Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.2990510Z             {
2022-11-23T02:04:39.2990682Z                 'guard_types': None,
2022-11-23T02:04:39.2990840Z                 'code': None,
2022-11-23T02:04:39.2991016Z                 'obj_weakref': None
2022-11-23T02:04:39.2991189Z                 'guarded_class': None
2022-11-23T02:04:39.2991290Z             }
2022-11-23T02:04:39.2991366Z             
2022-11-23T02:04:39.2991728Z [2022-11-23 01:56:04,700] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 221
2022-11-23T02:04:39.2992225Z [2022-11-23 01:56:07,342] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ql/cqldrlxswkh7crb55wux4fn7aw3rmvfiktkxztoax5zwpnq7s5de.py
2022-11-23T02:04:39.2992594Z [2022-11-23 01:56:07,342] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 221
2022-11-23T02:04:39.2992615Z 
2022-11-23T02:04:39.2992758Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.2992868Z import torch
2022-11-23T02:04:39.2993029Z import random
2022-11-23T02:04:39.2993206Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.2993360Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.2993380Z 
2022-11-23T02:04:39.2993502Z aten = torch.ops.aten
2022-11-23T02:04:39.2993695Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.2993836Z async_compile = AsyncCompile()
2022-11-23T02:04:39.2993856Z 
2022-11-23T02:04:39.2993874Z 
2022-11-23T02:04:39.2994074Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.2994367Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.2994545Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T02:04:39.2994697Z                        double* __restrict__ out_ptr0,
2022-11-23T02:04:39.2994819Z                        double* __restrict__ out_ptr1)
2022-11-23T02:04:39.2994917Z {
2022-11-23T02:04:39.2995066Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.2995166Z     {
2022-11-23T02:04:39.2995287Z         #pragma omp for 
2022-11-23T02:04:39.2995415Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T02:04:39.2995510Z         {
2022-11-23T02:04:39.2995588Z             {
2022-11-23T02:04:39.2995689Z                 {
2022-11-23T02:04:39.2995833Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.2996011Z                     auto tmp1 = std::log(tmp0);
2022-11-23T02:04:39.2996180Z                     auto tmp2 = static_cast<double>(1.4426950408889634);
2022-11-23T02:04:39.2996318Z                     auto tmp3 = tmp1 * tmp2;
2022-11-23T02:04:39.2996448Z                     out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.2996552Z                     out_ptr1[i0] = tmp3;
2022-11-23T02:04:39.2996658Z                 }
2022-11-23T02:04:39.2996755Z             }
2022-11-23T02:04:39.2996850Z         }
2022-11-23T02:04:39.2996950Z     }
2022-11-23T02:04:39.2997045Z }
2022-11-23T02:04:39.2997147Z ''')
2022-11-23T02:04:39.2997166Z 
2022-11-23T02:04:39.2997211Z 
2022-11-23T02:04:39.2997327Z async_compile.wait(globals())
2022-11-23T02:04:39.2997445Z del async_compile
2022-11-23T02:04:39.2997464Z 
2022-11-23T02:04:39.2997574Z def call(args):
2022-11-23T02:04:39.2997686Z     arg0_1, = args
2022-11-23T02:04:39.2997802Z     args.clear()
2022-11-23T02:04:39.2998080Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T02:04:39.2998354Z     buf1 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T02:04:39.2998560Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.2998670Z     del arg0_1
2022-11-23T02:04:39.2998793Z     return (buf0, buf1, )
2022-11-23T02:04:39.2998872Z 
2022-11-23T02:04:39.2998890Z 
2022-11-23T02:04:39.2999014Z if __name__ == "__main__":
2022-11-23T02:04:39.2999181Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.2999480Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.2999761Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T02:04:39.2999924Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.2999945Z 
2022-11-23T02:04:39.3000028Z ok (2.675s)
2022-11-23T02:04:39.3000453Z   test_log_softmax_cpu (__main__.CpuTests) ... [2022-11-23 01:56:07,350] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3000884Z [2022-11-23 01:56:07,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.3001186Z [2022-11-23 01:56:07,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.3001538Z [2022-11-23 01:56:07,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.3001918Z [2022-11-23 01:56:07,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.3002401Z [2022-11-23 01:56:07,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3002882Z [2022-11-23 01:56:07,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3003320Z [2022-11-23 01:56:07,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3003821Z [2022-11-23 01:56:07,351] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa6411318f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1236> 
2022-11-23T02:04:39.3003944Z  1237           0 LOAD_GLOBAL              0 (F)
2022-11-23T02:04:39.3004094Z                2 LOAD_METHOD              1 (log_softmax)
2022-11-23T02:04:39.3004236Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.3004376Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.3004488Z                8 BINARY_ADD
2022-11-23T02:04:39.3004689Z               10 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.3004828Z               12 CALL_METHOD              2
2022-11-23T02:04:39.3004942Z               14 LOAD_GLOBAL              0 (F)
2022-11-23T02:04:39.3005098Z               16 LOAD_METHOD              1 (log_softmax)
2022-11-23T02:04:39.3005238Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:39.3005373Z               20 LOAD_CONST               2 (0)
2022-11-23T02:04:39.3005505Z               22 CALL_METHOD              2
2022-11-23T02:04:39.3005640Z               24 LOAD_GLOBAL              0 (F)
2022-11-23T02:04:39.3005796Z               26 LOAD_METHOD              1 (log_softmax)
2022-11-23T02:04:39.3005904Z               28 LOAD_FAST                1 (b)
2022-11-23T02:04:39.3006039Z               30 LOAD_CONST               3 (1)
2022-11-23T02:04:39.3006172Z               32 CALL_METHOD              2
2022-11-23T02:04:39.3006313Z               34 BUILD_TUPLE              3
2022-11-23T02:04:39.3006432Z               36 RETURN_VALUE
2022-11-23T02:04:39.3006530Z  
2022-11-23T02:04:39.3006550Z 
2022-11-23T02:04:39.3006991Z [2022-11-23 01:56:07,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1237
2022-11-23T02:04:39.3007294Z [2022-11-23 01:56:07,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T02:04:39.3007852Z [2022-11-23 01:56:07,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.3008298Z [2022-11-23 01:56:07,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function log_softmax at 0x7fa55b6d7400>)]
2022-11-23T02:04:39.3008742Z [2022-11-23 01:56:07,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<function log_softmax at 0x7fa55b6d7400>), TensorVariable()]
2022-11-23T02:04:39.3009226Z [2022-11-23 01:56:07,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<function log_softmax at 0x7fa55b6d7400>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3009669Z [2022-11-23 01:56:07,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function log_softmax at 0x7fa55b6d7400>), TensorVariable()]
2022-11-23T02:04:39.3010161Z [2022-11-23 01:56:07,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<function log_softmax at 0x7fa55b6d7400>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3010498Z [2022-11-23 01:56:07,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T02:04:39.3011154Z [2022-11-23 01:56:07,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.3011601Z [2022-11-23 01:56:07,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<function log_softmax at 0x7fa55b6d7400>)]
2022-11-23T02:04:39.3012079Z [2022-11-23 01:56:07,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<function log_softmax at 0x7fa55b6d7400>), TensorVariable()]
2022-11-23T02:04:39.3012616Z [2022-11-23 01:56:07,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<function log_softmax at 0x7fa55b6d7400>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3012988Z [2022-11-23 01:56:07,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3013623Z [2022-11-23 01:56:07,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.3014102Z [2022-11-23 01:56:07,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7fa55b6d7400>)]
2022-11-23T02:04:39.3014591Z [2022-11-23 01:56:07,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7fa55b6d7400>), TensorVariable()]
2022-11-23T02:04:39.3015159Z [2022-11-23 01:56:07,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7fa55b6d7400>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3015569Z [2022-11-23 01:56:07,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3015912Z [2022-11-23 01:56:07,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3017275Z [2022-11-23 01:56:07,374] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa6411318f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1236>
2022-11-23T02:04:39.3017887Z [2022-11-23 01:56:07,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3018285Z [2022-11-23 01:56:07,374] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3018638Z [2022-11-23 01:56:07,376] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.3019151Z [2022-11-23 01:56:07,392] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.3019419Z [2022-11-23 01:56:07,393] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3019595Z  __compiled_fn_229 <eval_with_key>.1836 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3019731Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.3019864Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.3020109Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.3020405Z call_function, log_softmax, <function log_softmax at 0x7fa55b6d7400>, (add, -1), {}
2022-11-23T02:04:39.3020611Z call_function, log_softmax_1, <function log_softmax at 0x7fa55b6d7400>, (ex_0_, 0), {}
2022-11-23T02:04:39.3020812Z call_function, log_softmax_2, <function log_softmax at 0x7fa55b6d7400>, (ex_1_, 1), {}
2022-11-23T02:04:39.3021012Z output, output, output, ((log_softmax, log_softmax_1, log_softmax_2),), {}
2022-11-23T02:04:39.3021036Z 
2022-11-23T02:04:39.3021455Z [2022-11-23 01:56:07,393] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3021686Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.3021831Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3021964Z               4 BUILD_MAP                0
2022-11-23T02:04:39.3022105Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.3022234Z               8 DICT_MERGE               1
2022-11-23T02:04:39.3022371Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.3022485Z              12 RETURN_VALUE
2022-11-23T02:04:39.3022505Z 
2022-11-23T02:04:39.3022579Z  
2022-11-23T02:04:39.3023021Z [2022-11-23 01:56:07,393] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3023182Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_229)
2022-11-23T02:04:39.3023323Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3023462Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3023581Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.3023716Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3023826Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3023946Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.3024079Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.3024230Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.3024381Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3024520Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3024636Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.3024786Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3024896Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3025016Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.3025163Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3025299Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:39.3025414Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.3025546Z              36 BUILD_TUPLE              3
2022-11-23T02:04:39.3025662Z              38 RETURN_VALUE
2022-11-23T02:04:39.3025682Z 
2022-11-23T02:04:39.3025756Z  
2022-11-23T02:04:39.3026020Z [2022-11-23 01:56:07,395] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3026132Z  - 
2022-11-23T02:04:39.3026307Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.3026411Z             {
2022-11-23T02:04:39.3026613Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.3026878Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.3027028Z                 'obj_weakref': None
2022-11-23T02:04:39.3027344Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.3027512Z             }
2022-11-23T02:04:39.3027614Z             
2022-11-23T02:04:39.3027726Z  - 
2022-11-23T02:04:39.3027907Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.3028009Z             {
2022-11-23T02:04:39.3028197Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3028357Z                 'code': None,
2022-11-23T02:04:39.3028646Z                 'obj_weakref': <weakref at 0x7fa53c4a9990; to 'Tensor' at 0x7fa6237e3100>
2022-11-23T02:04:39.3028991Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3029095Z             }
2022-11-23T02:04:39.3029196Z             
2022-11-23T02:04:39.3029311Z  - 
2022-11-23T02:04:39.3029469Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.3029570Z             {
2022-11-23T02:04:39.3029774Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3029939Z                 'code': None,
2022-11-23T02:04:39.3030226Z                 'obj_weakref': <weakref at 0x7fa53c4a97b0; to 'Tensor' at 0x7fa6237e3150>
2022-11-23T02:04:39.3030615Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3030729Z             }
2022-11-23T02:04:39.3030806Z             
2022-11-23T02:04:39.3030923Z  - 
2022-11-23T02:04:39.3031114Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.3031215Z             {
2022-11-23T02:04:39.3031408Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3031648Z                 'code': ['___check_obj_id(model, 140347990409856)'],
2022-11-23T02:04:39.3031820Z                 'obj_weakref': None
2022-11-23T02:04:39.3032112Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.3032215Z             }
2022-11-23T02:04:39.3032315Z             
2022-11-23T02:04:39.3032427Z  - 
2022-11-23T02:04:39.3032620Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.3032722Z             {
2022-11-23T02:04:39.3032914Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.3033193Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.3033365Z                 'obj_weakref': None
2022-11-23T02:04:39.3033673Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.3033779Z             }
2022-11-23T02:04:39.3033879Z             
2022-11-23T02:04:39.3033994Z  - 
2022-11-23T02:04:39.3034173Z             global 'F' FUNCTION_MATCH
2022-11-23T02:04:39.3034250Z             {
2022-11-23T02:04:39.3034424Z                 'guard_types': None,
2022-11-23T02:04:39.3034581Z                 'code': None,
2022-11-23T02:04:39.3034753Z                 'obj_weakref': None
2022-11-23T02:04:39.3034929Z                 'guarded_class': None
2022-11-23T02:04:39.3035030Z             }
2022-11-23T02:04:39.3035138Z             
2022-11-23T02:04:39.3035477Z [2022-11-23 01:56:07,430] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 222
2022-11-23T02:04:39.3035498Z 
2022-11-23T02:04:39.3035646Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3035762Z import torch
2022-11-23T02:04:39.3035879Z import random
2022-11-23T02:04:39.3036048Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3036225Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3036244Z 
2022-11-23T02:04:39.3036369Z aten = torch.ops.aten
2022-11-23T02:04:39.3036537Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3036676Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3036695Z 
2022-11-23T02:04:39.3036714Z 
2022-11-23T02:04:39.3036913Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3037196Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3037454Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.3037609Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.3037762Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.3037915Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.3038034Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:39.3038174Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:39.3038317Z                        float* __restrict__ out_ptr4,
2022-11-23T02:04:39.3038457Z                        float* __restrict__ out_ptr5,
2022-11-23T02:04:39.3038603Z                        float* __restrict__ out_ptr6,
2022-11-23T02:04:39.3038745Z                        float* __restrict__ out_ptr7,
2022-11-23T02:04:39.3038883Z                        float* __restrict__ out_ptr8)
2022-11-23T02:04:39.3038958Z {
2022-11-23T02:04:39.3039105Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3039206Z     {
2022-11-23T02:04:39.3039327Z         #pragma omp for 
2022-11-23T02:04:39.3039451Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.3039554Z         {
2022-11-23T02:04:39.3039655Z             {
2022-11-23T02:04:39.3040280Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T02:04:39.3040604Z                 float tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3040782Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T02:04:39.3040917Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.3041026Z                 {
2022-11-23T02:04:39.3041227Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:39.3041431Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T02:04:39.3041577Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.3041749Z                     tmp3_vec = at::vec::maximum(tmp3_vec, tmp2);
2022-11-23T02:04:39.3041827Z                 }
2022-11-23T02:04:39.3042128Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp3_vec);
2022-11-23T02:04:39.3042303Z                 #pragma omp simd simdlen(4)  reduction(max:tmp3)
2022-11-23T02:04:39.3042442Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.3042545Z                 {
2022-11-23T02:04:39.3042695Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:39.3042834Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T02:04:39.3042971Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.3043097Z                     tmp3 = std::max(tmp3, tmp2);
2022-11-23T02:04:39.3043202Z                 }
2022-11-23T02:04:39.3043330Z                 out_ptr0[i0] = tmp3;
2022-11-23T02:04:39.3043441Z             }
2022-11-23T02:04:39.3043541Z         }
2022-11-23T02:04:39.3043659Z         #pragma omp for 
2022-11-23T02:04:39.3043789Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.3043865Z         {
2022-11-23T02:04:39.3043965Z             {
2022-11-23T02:04:39.3044231Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.3044357Z                 float tmp6 = 0;
2022-11-23T02:04:39.3044536Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T02:04:39.3045042Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T02:04:39.3045337Z                 float tmp7 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3045516Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T02:04:39.3045694Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.3045801Z                 {
2022-11-23T02:04:39.3046004Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:39.3046208Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T02:04:39.3046398Z                     auto tmp3 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T02:04:39.3046537Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.3046738Z                     auto tmp4 = tmp2 - tmp3;
2022-11-23T02:04:39.3046875Z                     auto tmp5 = tmp4.exp();
2022-11-23T02:04:39.3046976Z                     tmp6_vec += tmp5;
2022-11-23T02:04:39.3047146Z                     tmp7_vec = at::vec::maximum(tmp7_vec, tmp1);
2022-11-23T02:04:39.3047249Z                 }
2022-11-23T02:04:39.3047522Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T02:04:39.3047825Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp7_vec);
2022-11-23T02:04:39.3048141Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(max:tmp7)
2022-11-23T02:04:39.3048283Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.3048387Z                 {
2022-11-23T02:04:39.3048539Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:39.3048658Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T02:04:39.3048804Z                     auto tmp3 = out_ptr0[i0];
2022-11-23T02:04:39.3048941Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.3049145Z                     auto tmp4 = tmp2 - tmp3;
2022-11-23T02:04:39.3049296Z                     auto tmp5 = std::exp(tmp4);
2022-11-23T02:04:39.3049417Z                     tmp6 += tmp5;
2022-11-23T02:04:39.3049563Z                     tmp7 = std::max(tmp7, tmp1);
2022-11-23T02:04:39.3049646Z                 }
2022-11-23T02:04:39.3049771Z                 out_ptr1[i0] = tmp6;
2022-11-23T02:04:39.3049896Z                 out_ptr2[i0] = tmp7;
2022-11-23T02:04:39.3050000Z             }
2022-11-23T02:04:39.3050100Z         }
2022-11-23T02:04:39.3050224Z         #pragma omp for 
2022-11-23T02:04:39.3050350Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.3050426Z         {
2022-11-23T02:04:39.3050528Z             {
2022-11-23T02:04:39.3050632Z                 {
2022-11-23T02:04:39.3050947Z                     float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3051090Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:39.3051197Z                     {
2022-11-23T02:04:39.3051304Z                         {
2022-11-23T02:04:39.3051434Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T02:04:39.3051591Z                             tmp1 = std::max(tmp1, tmp0);
2022-11-23T02:04:39.3051706Z                         }
2022-11-23T02:04:39.3051810Z                     }
2022-11-23T02:04:39.3051941Z                     out_ptr3[i0] = tmp1;
2022-11-23T02:04:39.3052044Z                 }
2022-11-23T02:04:39.3052149Z             }
2022-11-23T02:04:39.3052226Z         }
2022-11-23T02:04:39.3052350Z         #pragma omp for 
2022-11-23T02:04:39.3052478Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.3052578Z         {
2022-11-23T02:04:39.3052676Z             {
2022-11-23T02:04:39.3052777Z                 {
2022-11-23T02:04:39.3052880Z                     float tmp4 = 0;
2022-11-23T02:04:39.3053017Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:39.3053118Z                     {
2022-11-23T02:04:39.3053224Z                         {
2022-11-23T02:04:39.3053376Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T02:04:39.3053559Z                             auto tmp1 = out_ptr3[i0];
2022-11-23T02:04:39.3053772Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.3053986Z                             auto tmp3 = std::exp(tmp2);
2022-11-23T02:04:39.3054117Z                             tmp4 += tmp3;
2022-11-23T02:04:39.3054222Z                         }
2022-11-23T02:04:39.3054323Z                     }
2022-11-23T02:04:39.3054457Z                     out_ptr4[i0] = tmp4;
2022-11-23T02:04:39.3054560Z                 }
2022-11-23T02:04:39.3054658Z             }
2022-11-23T02:04:39.3054734Z         }
2022-11-23T02:04:39.3054855Z         #pragma omp for 
2022-11-23T02:04:39.3054978Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.3055078Z         {
2022-11-23T02:04:39.3055183Z             {
2022-11-23T02:04:39.3055448Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.3055575Z                 float tmp4 = 0;
2022-11-23T02:04:39.3055727Z                 auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T02:04:39.3055860Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.3055964Z                 {
2022-11-23T02:04:39.3056712Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T02:04:39.3057023Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T02:04:39.3057542Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.3057709Z                     auto tmp3 = tmp2.exp();
2022-11-23T02:04:39.3057834Z                     tmp4_vec += tmp3;
2022-11-23T02:04:39.3057912Z                 }
2022-11-23T02:04:39.3058197Z                 tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2022-11-23T02:04:39.3058371Z                 #pragma omp simd simdlen(4)  reduction(+:tmp4)
2022-11-23T02:04:39.3058501Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.3058605Z                 {
2022-11-23T02:04:39.3058750Z                     auto tmp0 = in_ptr1[i1 + (8*i0)];
2022-11-23T02:04:39.3058893Z                     auto tmp1 = out_ptr2[i0];
2022-11-23T02:04:39.3059103Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.3059225Z                     auto tmp3 = std::exp(tmp2);
2022-11-23T02:04:39.3059344Z                     tmp4 += tmp3;
2022-11-23T02:04:39.3059452Z                 }
2022-11-23T02:04:39.3059580Z                 out_ptr5[i0] = tmp4;
2022-11-23T02:04:39.3059682Z             }
2022-11-23T02:04:39.3059783Z         }
2022-11-23T02:04:39.3059879Z         #pragma omp for 
2022-11-23T02:04:39.3060005Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.3060104Z         {
2022-11-23T02:04:39.3060232Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.3060332Z             {
2022-11-23T02:04:39.3060530Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:39.3060737Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T02:04:39.3060923Z                 auto tmp3 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T02:04:39.3061077Z                 auto tmp5 = at::vec::Vectorized<float>(out_ptr1[i0]);
2022-11-23T02:04:39.3061273Z                 auto tmp8 = at::vec::Vectorized<float>::loadu(out_ptr3 + 8*i1);
2022-11-23T02:04:39.3061471Z                 auto tmp10 = at::vec::Vectorized<float>::loadu(out_ptr4 + 8*i1);
2022-11-23T02:04:39.3061659Z                 auto tmp13 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T02:04:39.3061841Z                 auto tmp15 = at::vec::Vectorized<float>(out_ptr5[i0]);
2022-11-23T02:04:39.3061976Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.3062169Z                 auto tmp4 = tmp2 - tmp3;
2022-11-23T02:04:39.3062302Z                 auto tmp6 = tmp5.log();
2022-11-23T02:04:39.3062466Z                 auto tmp7 = tmp4 - tmp6;
2022-11-23T02:04:39.3062648Z                 auto tmp9 = tmp0 - tmp8;
2022-11-23T02:04:39.3062779Z                 auto tmp11 = tmp10.log();
2022-11-23T02:04:39.3063061Z                 auto tmp12 = tmp9 - tmp11;
2022-11-23T02:04:39.3063253Z                 auto tmp14 = tmp1 - tmp13;
2022-11-23T02:04:39.3063386Z                 auto tmp16 = tmp15.log();
2022-11-23T02:04:39.3063582Z                 auto tmp17 = tmp14 - tmp16;
2022-11-23T02:04:39.3063716Z                 tmp7.store(out_ptr6 + (8*i0) + (8*i1));
2022-11-23T02:04:39.3063871Z                 tmp12.store(out_ptr7 + (8*i0) + (8*i1));
2022-11-23T02:04:39.3064020Z                 tmp17.store(out_ptr8 + (8*i0) + (8*i1));
2022-11-23T02:04:39.3064129Z             }
2022-11-23T02:04:39.3064269Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.3064399Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.3064497Z             {
2022-11-23T02:04:39.3064619Z                 auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:39.3064763Z                 auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T02:04:39.3064904Z                 auto tmp3 = out_ptr0[i0];
2022-11-23T02:04:39.3065033Z                 auto tmp5 = out_ptr1[i0];
2022-11-23T02:04:39.3065170Z                 auto tmp8 = out_ptr3[i1];
2022-11-23T02:04:39.3065305Z                 auto tmp10 = out_ptr4[i1];
2022-11-23T02:04:39.3065439Z                 auto tmp13 = out_ptr2[i0];
2022-11-23T02:04:39.3065597Z                 auto tmp15 = out_ptr5[i0];
2022-11-23T02:04:39.3065740Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.3065933Z                 auto tmp4 = tmp2 - tmp3;
2022-11-23T02:04:39.3066079Z                 auto tmp6 = std::log(tmp5);
2022-11-23T02:04:39.3066263Z                 auto tmp7 = tmp4 - tmp6;
2022-11-23T02:04:39.3066450Z                 auto tmp9 = tmp0 - tmp8;
2022-11-23T02:04:39.3066597Z                 auto tmp11 = std::log(tmp10);
2022-11-23T02:04:39.3066786Z                 auto tmp12 = tmp9 - tmp11;
2022-11-23T02:04:39.3066955Z                 auto tmp14 = tmp1 - tmp13;
2022-11-23T02:04:39.3067106Z                 auto tmp16 = std::log(tmp15);
2022-11-23T02:04:39.3067298Z                 auto tmp17 = tmp14 - tmp16;
2022-11-23T02:04:39.3067438Z                 out_ptr6[i1 + (8*i0)] = tmp7;
2022-11-23T02:04:39.3067577Z                 out_ptr7[i1 + (8*i0)] = tmp12;
2022-11-23T02:04:39.3067713Z                 out_ptr8[i1 + (8*i0)] = tmp17;
2022-11-23T02:04:39.3067815Z             }
2022-11-23T02:04:39.3067895Z         }
2022-11-23T02:04:39.3067994Z     }
2022-11-23T02:04:39.3068093Z }
2022-11-23T02:04:39.3068214Z ''')
2022-11-23T02:04:39.3068240Z 
2022-11-23T02:04:39.3068259Z 
2022-11-23T02:04:39.3068402Z async_compile.wait(globals())
2022-11-23T02:04:39.3068513Z del async_compile
2022-11-23T02:04:39.3068532Z 
2022-11-23T02:04:39.3068643Z def call(args):
2022-11-23T02:04:39.3068737Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.3068850Z     args.clear()
2022-11-23T02:04:39.3069130Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3069400Z     buf1 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3069662Z     buf4 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3069931Z     buf2 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3070196Z     buf3 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3070435Z     buf5 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3070699Z     buf6 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3070951Z     buf7 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3071209Z     buf8 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3071680Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T02:04:39.3071847Z     del arg0_1
2022-11-23T02:04:39.3071953Z     del arg1_1
2022-11-23T02:04:39.3072082Z     return (buf6, buf7, buf8, )
2022-11-23T02:04:39.3072101Z 
2022-11-23T02:04:39.3072119Z 
2022-11-23T02:04:39.3072238Z if __name__ == "__main__":
2022-11-23T02:04:39.3072388Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3072572Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3072847Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3073124Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3073292Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.3073788Z [2022-11-23 01:56:10,281] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/o4/co4soedlnq6tbw3ztlqvii6gylmft6mw23ff42ea5xgy3kpb5diz.py
2022-11-23T02:04:39.3074161Z [2022-11-23 01:56:10,281] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 222
2022-11-23T02:04:39.3074186Z 
2022-11-23T02:04:39.3074299Z ok (2.939s)
2022-11-23T02:04:39.3074717Z   test_logsumexp_cpu (__main__.CpuTests) ... [2022-11-23 01:56:10,288] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3075169Z [2022-11-23 01:56:10,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.3075477Z [2022-11-23 01:56:10,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.3075827Z [2022-11-23 01:56:10,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.3076204Z [2022-11-23 01:56:10,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.3076638Z [2022-11-23 01:56:10,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3077111Z [2022-11-23 01:56:10,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3077552Z [2022-11-23 01:56:10,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3078108Z [2022-11-23 01:56:10,289] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9ea20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2700> 
2022-11-23T02:04:39.3078257Z  2701           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.3078410Z                2 LOAD_METHOD              1 (logsumexp)
2022-11-23T02:04:39.3078524Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.3078726Z                6 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.3078865Z                8 CALL_METHOD              2
2022-11-23T02:04:39.3079009Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.3079158Z               12 LOAD_METHOD              1 (logsumexp)
2022-11-23T02:04:39.3079294Z               14 LOAD_FAST                0 (x)
2022-11-23T02:04:39.3079433Z               16 LOAD_CONST               2 (0)
2022-11-23T02:04:39.3079545Z               18 CALL_METHOD              2
2022-11-23T02:04:39.3079682Z               20 LOAD_CONST               3 (2)
2022-11-23T02:04:39.3079806Z               22 BINARY_SUBTRACT
2022-11-23T02:04:39.3079950Z               24 BUILD_TUPLE              2
2022-11-23T02:04:39.3080068Z               26 RETURN_VALUE
2022-11-23T02:04:39.3080165Z  
2022-11-23T02:04:39.3080185Z 
2022-11-23T02:04:39.3080624Z [2022-11-23 01:56:10,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2701
2022-11-23T02:04:39.3080934Z [2022-11-23 01:56:10,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.3081483Z [2022-11-23 01:56:10,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logsumexp [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.3081930Z [2022-11-23 01:56:10,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method logsumexp of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.3082418Z [2022-11-23 01:56:10,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method logsumexp of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.3082953Z [2022-11-23 01:56:10,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method logsumexp of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3083293Z [2022-11-23 01:56:10,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.3083836Z [2022-11-23 01:56:10,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logsumexp [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.3084382Z [2022-11-23 01:56:10,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.3084999Z [2022-11-23 01:56:10,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.3085578Z [2022-11-23 01:56:10,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3085948Z [2022-11-23 01:56:10,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3086381Z [2022-11-23 01:56:10,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3086759Z [2022-11-23 01:56:10,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3087075Z [2022-11-23 01:56:10,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3087594Z [2022-11-23 01:56:10,309] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9ea20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2700>
2022-11-23T02:04:39.3087932Z [2022-11-23 01:56:10,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3088260Z [2022-11-23 01:56:10,310] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3088618Z [2022-11-23 01:56:10,312] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.3088962Z [2022-11-23 01:56:10,327] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.3089238Z [2022-11-23 01:56:10,328] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3089442Z  __compiled_fn_230 <eval_with_key>.1842 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3089584Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.3089905Z call_function, logsumexp, <built-in method logsumexp of type object at 0x7fa5855aec60>, (ex_0_, -1), {}
2022-11-23T02:04:39.3090257Z call_function, logsumexp_1, <built-in method logsumexp of type object at 0x7fa5855aec60>, (ex_0_, 0), {}
2022-11-23T02:04:39.3090516Z call_function, sub, <built-in function sub>, (logsumexp_1, 2), {}
2022-11-23T02:04:39.3090688Z output, output, output, ((logsumexp, sub),), {}
2022-11-23T02:04:39.3090708Z 
2022-11-23T02:04:39.3091232Z [2022-11-23 01:56:10,328] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3091374Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.3091517Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3091653Z               4 BUILD_MAP                0
2022-11-23T02:04:39.3091771Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.3091904Z               8 DICT_MERGE               1
2022-11-23T02:04:39.3092037Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.3092157Z              12 RETURN_VALUE
2022-11-23T02:04:39.3092177Z 
2022-11-23T02:04:39.3092276Z  
2022-11-23T02:04:39.3092715Z [2022-11-23 01:56:10,328] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3092877Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_230)
2022-11-23T02:04:39.3093019Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3093133Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3093253Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.3093388Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.3093607Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.3093770Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3093906Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3094025Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.3094151Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3094290Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3094411Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.3094549Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.3094674Z              26 RETURN_VALUE
2022-11-23T02:04:39.3094694Z 
2022-11-23T02:04:39.3094794Z  
2022-11-23T02:04:39.3095070Z [2022-11-23 01:56:10,330] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3095181Z  - 
2022-11-23T02:04:39.3095331Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.3095433Z             {
2022-11-23T02:04:39.3095639Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.3095899Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.3096521Z                 'obj_weakref': None
2022-11-23T02:04:39.3097083Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.3097248Z             }
2022-11-23T02:04:39.3097376Z             
2022-11-23T02:04:39.3097567Z  - 
2022-11-23T02:04:39.3097869Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.3098022Z             {
2022-11-23T02:04:39.3098235Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3098393Z                 'code': None,
2022-11-23T02:04:39.3098665Z                 'obj_weakref': <weakref at 0x7fa531f7c450; to 'Tensor' at 0x7fa6237e3100>
2022-11-23T02:04:39.3099021Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3099123Z             }
2022-11-23T02:04:39.3099229Z             
2022-11-23T02:04:39.3099343Z  - 
2022-11-23T02:04:39.3099533Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.3099635Z             {
2022-11-23T02:04:39.3099806Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3100042Z                 'code': ['___check_obj_id(model, 140347990409856)'],
2022-11-23T02:04:39.3100214Z                 'obj_weakref': None
2022-11-23T02:04:39.3100527Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.3100629Z             }
2022-11-23T02:04:39.3100729Z             
2022-11-23T02:04:39.3100843Z  - 
2022-11-23T02:04:39.3100996Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.3101283Z             {
2022-11-23T02:04:39.3101596Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.3101899Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.3102069Z                 'obj_weakref': None
2022-11-23T02:04:39.3102379Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.3102483Z             }
2022-11-23T02:04:39.3102583Z             
2022-11-23T02:04:39.3102671Z  - 
2022-11-23T02:04:39.3102860Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.3102966Z             {
2022-11-23T02:04:39.3103142Z                 'guard_types': None,
2022-11-23T02:04:39.3103299Z                 'code': None,
2022-11-23T02:04:39.3103474Z                 'obj_weakref': None
2022-11-23T02:04:39.3103625Z                 'guarded_class': None
2022-11-23T02:04:39.3103727Z             }
2022-11-23T02:04:39.3103824Z             
2022-11-23T02:04:39.3104179Z [2022-11-23 01:56:10,369] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 223
2022-11-23T02:04:39.3104677Z [2022-11-23 01:56:13,131] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yp/cypi56n2x45tnvcvfy7mz5msohcdxds4lb5pm2vyeqhn7dqmwe6i.py
2022-11-23T02:04:39.3105125Z [2022-11-23 01:56:13,131] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 223
2022-11-23T02:04:39.3105151Z 
2022-11-23T02:04:39.3105298Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3105407Z import torch
2022-11-23T02:04:39.3105493Z import random
2022-11-23T02:04:39.3105662Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3105899Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3105919Z 
2022-11-23T02:04:39.3106040Z aten = torch.ops.aten
2022-11-23T02:04:39.3106236Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3106374Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3106398Z 
2022-11-23T02:04:39.3106416Z 
2022-11-23T02:04:39.3106617Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3106900Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3107051Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.3107200Z                        float* __restrict__ in_out_ptr1,
2022-11-23T02:04:39.3107358Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.3107504Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.3107651Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.3107749Z {
2022-11-23T02:04:39.3107880Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T02:04:39.3107984Z     auto out_ptr3 = in_out_ptr1;
2022-11-23T02:04:39.3108132Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3108231Z     {
2022-11-23T02:04:39.3108355Z         #pragma omp for 
2022-11-23T02:04:39.3108485Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.3108589Z         {
2022-11-23T02:04:39.3108692Z             {
2022-11-23T02:04:39.3109229Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T02:04:39.3109531Z                 float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3109711Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T02:04:39.3109848Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.3109950Z                 {
2022-11-23T02:04:39.3110156Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:39.3110326Z                     tmp1_vec = at::vec::maximum(tmp1_vec, tmp0);
2022-11-23T02:04:39.3110440Z                 }
2022-11-23T02:04:39.3110742Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp1_vec);
2022-11-23T02:04:39.3110996Z                 #pragma omp simd simdlen(4)  reduction(max:tmp1)
2022-11-23T02:04:39.3111132Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.3111236Z                 {
2022-11-23T02:04:39.3111391Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:39.3111542Z                     tmp1 = std::max(tmp1, tmp0);
2022-11-23T02:04:39.3111640Z                 }
2022-11-23T02:04:39.3111769Z                 out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.3111848Z             }
2022-11-23T02:04:39.3111951Z         }
2022-11-23T02:04:39.3112069Z         #pragma omp for 
2022-11-23T02:04:39.3112194Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.3112292Z         {
2022-11-23T02:04:39.3112392Z             {
2022-11-23T02:04:39.3112652Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.3112753Z                 float tmp4 = 0;
2022-11-23T02:04:39.3112937Z                 auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T02:04:39.3113069Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.3113177Z                 {
2022-11-23T02:04:39.3113431Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:39.3113626Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T02:04:39.3113829Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.3113969Z                     auto tmp3 = tmp2.exp();
2022-11-23T02:04:39.3114071Z                     tmp4_vec += tmp3;
2022-11-23T02:04:39.3114174Z                 }
2022-11-23T02:04:39.3114451Z                 tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2022-11-23T02:04:39.3114625Z                 #pragma omp simd simdlen(4)  reduction(+:tmp4)
2022-11-23T02:04:39.3114761Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.3114875Z                 {
2022-11-23T02:04:39.3115031Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:39.3115170Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T02:04:39.3115345Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.3115500Z                     auto tmp3 = std::exp(tmp2);
2022-11-23T02:04:39.3115616Z                     tmp4 += tmp3;
2022-11-23T02:04:39.3115719Z                 }
2022-11-23T02:04:39.3115846Z                 out_ptr1[i0] = tmp4;
2022-11-23T02:04:39.3115952Z             }
2022-11-23T02:04:39.3116054Z         }
2022-11-23T02:04:39.3116151Z         #pragma omp for 
2022-11-23T02:04:39.3116276Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.3116376Z         {
2022-11-23T02:04:39.3116477Z             {
2022-11-23T02:04:39.3116579Z                 {
2022-11-23T02:04:39.3116888Z                     float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3117034Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:39.3117118Z                     {
2022-11-23T02:04:39.3117224Z                         {
2022-11-23T02:04:39.3117375Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T02:04:39.3117533Z                             tmp1 = std::max(tmp1, tmp0);
2022-11-23T02:04:39.3117638Z                         }
2022-11-23T02:04:39.3117743Z                     }
2022-11-23T02:04:39.3117872Z                     out_ptr2[i0] = tmp1;
2022-11-23T02:04:39.3117951Z                 }
2022-11-23T02:04:39.3118052Z             }
2022-11-23T02:04:39.3118151Z         }
2022-11-23T02:04:39.3118269Z         #pragma omp for 
2022-11-23T02:04:39.3118393Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.3118490Z         {
2022-11-23T02:04:39.3118568Z             {
2022-11-23T02:04:39.3118670Z                 {
2022-11-23T02:04:39.3118794Z                     float tmp4 = 0;
2022-11-23T02:04:39.3118926Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:39.3119123Z                     {
2022-11-23T02:04:39.3119232Z                         {
2022-11-23T02:04:39.3119391Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T02:04:39.3119514Z                             auto tmp1 = out_ptr2[i0];
2022-11-23T02:04:39.3119729Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.3119884Z                             auto tmp3 = std::exp(tmp2);
2022-11-23T02:04:39.3120011Z                             tmp4 += tmp3;
2022-11-23T02:04:39.3120120Z                         }
2022-11-23T02:04:39.3120224Z                     }
2022-11-23T02:04:39.3120352Z                     out_ptr3[i0] = tmp4;
2022-11-23T02:04:39.3120432Z                 }
2022-11-23T02:04:39.3120532Z             }
2022-11-23T02:04:39.3120634Z         }
2022-11-23T02:04:39.3120753Z         #pragma omp for 
2022-11-23T02:04:39.3120878Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.3120975Z         {
2022-11-23T02:04:39.3121072Z             {
2022-11-23T02:04:39.3121156Z                 {
2022-11-23T02:04:39.3121298Z                     auto tmp0 = out_ptr1[i0];
2022-11-23T02:04:39.3121432Z                     auto tmp2 = out_ptr0[i0];
2022-11-23T02:04:39.3121575Z                     auto tmp1 = std::log(tmp0);
2022-11-23T02:04:39.3121771Z                     auto tmp3 = std::abs(tmp2);
2022-11-23T02:04:39.3121962Z                     auto tmp4 = std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3122105Z                     auto tmp5 = tmp3 == tmp4;
2022-11-23T02:04:39.3122237Z                     auto tmp6 = static_cast<float>(0.0);
2022-11-23T02:04:39.3122385Z                     auto tmp7 = tmp5 ? tmp6 : tmp2;
2022-11-23T02:04:39.3122522Z                     auto tmp8 = tmp1 + tmp7;
2022-11-23T02:04:39.3122661Z                     in_out_ptr0[i0] = tmp8;
2022-11-23T02:04:39.3122766Z                 }
2022-11-23T02:04:39.3122866Z             }
2022-11-23T02:04:39.3122965Z         }
2022-11-23T02:04:39.3123064Z         #pragma omp for 
2022-11-23T02:04:39.3123206Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.3123306Z         {
2022-11-23T02:04:39.3123406Z             {
2022-11-23T02:04:39.3123504Z                 {
2022-11-23T02:04:39.3123642Z                     auto tmp0 = out_ptr3[i0];
2022-11-23T02:04:39.3123782Z                     auto tmp2 = out_ptr2[i0];
2022-11-23T02:04:39.3123907Z                     auto tmp1 = std::log(tmp0);
2022-11-23T02:04:39.3124054Z                     auto tmp3 = std::abs(tmp2);
2022-11-23T02:04:39.3124236Z                     auto tmp4 = std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3124368Z                     auto tmp5 = tmp3 == tmp4;
2022-11-23T02:04:39.3124526Z                     auto tmp6 = static_cast<float>(0.0);
2022-11-23T02:04:39.3124674Z                     auto tmp7 = tmp5 ? tmp6 : tmp2;
2022-11-23T02:04:39.3124809Z                     auto tmp8 = tmp1 + tmp7;
2022-11-23T02:04:39.3124939Z                     auto tmp9 = static_cast<float>(2);
2022-11-23T02:04:39.3125150Z                     auto tmp10 = tmp8 - tmp9;
2022-11-23T02:04:39.3125285Z                     in_out_ptr1[i0] = tmp10;
2022-11-23T02:04:39.3125387Z                 }
2022-11-23T02:04:39.3125486Z             }
2022-11-23T02:04:39.3125593Z         }
2022-11-23T02:04:39.3125692Z     }
2022-11-23T02:04:39.3125770Z }
2022-11-23T02:04:39.3125893Z ''')
2022-11-23T02:04:39.3125916Z 
2022-11-23T02:04:39.3125935Z 
2022-11-23T02:04:39.3126072Z async_compile.wait(globals())
2022-11-23T02:04:39.3126184Z del async_compile
2022-11-23T02:04:39.3126205Z 
2022-11-23T02:04:39.3126315Z def call(args):
2022-11-23T02:04:39.3126428Z     arg0_1, = args
2022-11-23T02:04:39.3126539Z     args.clear()
2022-11-23T02:04:39.3126789Z     buf0 = empty_strided((8, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3127062Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3127328Z     buf2 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3127659Z     buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3127786Z     buf4 = buf1; del buf1  # reuse
2022-11-23T02:04:39.3127919Z     buf5 = buf3; del buf3  # reuse
2022-11-23T02:04:39.3128221Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.3128332Z     del arg0_1
2022-11-23T02:04:39.3128430Z     return (buf4, buf5, )
2022-11-23T02:04:39.3128450Z 
2022-11-23T02:04:39.3128489Z 
2022-11-23T02:04:39.3128584Z if __name__ == "__main__":
2022-11-23T02:04:39.3128753Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3128930Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3129202Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3129361Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.3129381Z 
2022-11-23T02:04:39.3129486Z ok (2.850s)
2022-11-23T02:04:39.3129917Z   test_long_tensor_cpu (__main__.CpuTests) ... [2022-11-23 01:56:13,138] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3130375Z [2022-11-23 01:56:13,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.3130683Z [2022-11-23 01:56:13,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.3131031Z [2022-11-23 01:56:13,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.3131410Z [2022-11-23 01:56:13,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.3131843Z [2022-11-23 01:56:13,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3132311Z [2022-11-23 01:56:13,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3132754Z [2022-11-23 01:56:13,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3133258Z [2022-11-23 01:56:13,139] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f88f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3107> 
2022-11-23T02:04:39.3133404Z  3109           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.3133557Z                2 LOAD_METHOD              1 (LongTensor)
2022-11-23T02:04:39.3133734Z                4 LOAD_CONST               1 (294)
2022-11-23T02:04:39.3133868Z                6 BUILD_LIST               1
2022-11-23T02:04:39.3134002Z                8 CALL_METHOD              1
2022-11-23T02:04:39.3134138Z               10 LOAD_METHOD              2 (to)
2022-11-23T02:04:39.3134280Z               12 LOAD_FAST                0 (a)
2022-11-23T02:04:39.3134421Z               14 LOAD_ATTR                3 (device)
2022-11-23T02:04:39.3134553Z               16 CALL_METHOD              1
2022-11-23T02:04:39.3134664Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:39.3134792Z               20 BINARY_SUBTRACT
2022-11-23T02:04:39.3134812Z 
2022-11-23T02:04:39.3134954Z 3110          22 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.3135096Z               24 LOAD_METHOD              4 (as_tensor)
2022-11-23T02:04:39.3135234Z               26 LOAD_CONST               2 (295)
2022-11-23T02:04:39.3135368Z               28 BUILD_LIST               1
2022-11-23T02:04:39.3135499Z               30 CALL_METHOD              1
2022-11-23T02:04:39.3135641Z               32 LOAD_METHOD              2 (to)
2022-11-23T02:04:39.3135754Z               34 LOAD_FAST                0 (a)
2022-11-23T02:04:39.3135889Z               36 LOAD_ATTR                3 (device)
2022-11-23T02:04:39.3136688Z               38 CALL_METHOD              1
2022-11-23T02:04:39.3136922Z               40 LOAD_FAST                0 (a)
2022-11-23T02:04:39.3137098Z               42 BINARY_ADD
2022-11-23T02:04:39.3137125Z 
2022-11-23T02:04:39.3137340Z 3108          44 BUILD_TUPLE              2
2022-11-23T02:04:39.3137537Z               46 RETURN_VALUE
2022-11-23T02:04:39.3137667Z  
2022-11-23T02:04:39.3137693Z 
2022-11-23T02:04:39.3138336Z [2022-11-23 01:56:13,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3109
2022-11-23T02:04:39.3138656Z [2022-11-23 01:56:13,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.3139162Z [2022-11-23 01:56:13,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR LongTensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.3139547Z [2022-11-23 01:56:13,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 294 [TorchVariable(<class 'torch.LongTensor'>)]
2022-11-23T02:04:39.3139978Z [2022-11-23 01:56:13,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<class 'torch.LongTensor'>), ConstantVariable(int)]
2022-11-23T02:04:39.3140536Z [2022-11-23 01:56:13,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<class 'torch.LongTensor'>), ListVariable()]
2022-11-23T02:04:39.3140879Z [2022-11-23 01:56:13,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T02:04:39.3141252Z [2022-11-23 01:56:13,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [GetAttrVariable(TensorVariable(), to)]
2022-11-23T02:04:39.3141662Z [2022-11-23 01:56:13,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()]
2022-11-23T02:04:39.3142080Z [2022-11-23 01:56:13,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)]
2022-11-23T02:04:39.3142387Z [2022-11-23 01:56:13,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:39.3142769Z [2022-11-23 01:56:13,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3143197Z [2022-11-23 01:56:13,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3110
2022-11-23T02:04:39.3143540Z [2022-11-23 01:56:13,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.3144079Z [2022-11-23 01:56:13,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.3144560Z [2022-11-23 01:56:13,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 295 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.3145096Z [2022-11-23 01:56:13,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7fa5855aec60>), ConstantVariable(int)]
2022-11-23T02:04:39.3145615Z [2022-11-23 01:56:13,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7fa5855aec60>), ListVariable()]
2022-11-23T02:04:39.3145977Z [2022-11-23 01:56:13,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3146382Z [2022-11-23 01:56:13,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), GetAttrVariable(TensorVariable(), to)]
2022-11-23T02:04:39.3146831Z [2022-11-23 01:56:13,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), GetAttrVariable(TensorVariable(), to), TensorVariable()]
2022-11-23T02:04:39.3147348Z [2022-11-23 01:56:13,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)]
2022-11-23T02:04:39.3147715Z [2022-11-23 01:56:13,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3148127Z [2022-11-23 01:56:13,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3148549Z [2022-11-23 01:56:13,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3108
2022-11-23T02:04:39.3148915Z [2022-11-23 01:56:13,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3149250Z [2022-11-23 01:56:13,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3149765Z [2022-11-23 01:56:13,153] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f88f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3107>
2022-11-23T02:04:39.3150145Z [2022-11-23 01:56:13,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3150477Z [2022-11-23 01:56:13,153] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3150829Z [2022-11-23 01:56:13,155] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.3151173Z [2022-11-23 01:56:13,163] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.3151417Z [2022-11-23 01:56:13,163] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3151612Z  __compiled_fn_231 <eval_with_key>.1848 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3151749Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.3152020Z call_function, long_tensor, <class 'torch.LongTensor'>, ([294],), {}
2022-11-23T02:04:39.3152257Z call_method, to, to, (long_tensor, device(type='cpu')), {}
2022-11-23T02:04:39.3152507Z call_function, sub, <built-in function sub>, (to, ex_0_), {}
2022-11-23T02:04:39.3152836Z call_function, as_tensor, <built-in method as_tensor of type object at 0x7fa5855aec60>, ([295],), {}
2022-11-23T02:04:39.3153053Z call_method, to_1, to, (as_tensor, device(type='cpu')), {}
2022-11-23T02:04:39.3153305Z call_function, add, <built-in function add>, (to_1, ex_0_), {}
2022-11-23T02:04:39.3153456Z output, output, output, ((sub, add),), {}
2022-11-23T02:04:39.3153480Z 
2022-11-23T02:04:39.3153921Z [2022-11-23 01:56:13,164] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3154068Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.3154209Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3154355Z               4 BUILD_MAP                0
2022-11-23T02:04:39.3154494Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.3154599Z               8 DICT_MERGE               1
2022-11-23T02:04:39.3154741Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.3154860Z              12 RETURN_VALUE
2022-11-23T02:04:39.3154879Z 
2022-11-23T02:04:39.3154980Z  
2022-11-23T02:04:39.3155425Z [2022-11-23 01:56:13,164] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3155582Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_231)
2022-11-23T02:04:39.3155718Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3155936Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3156032Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.3156163Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.3156381Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.3156537Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3156672Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3156791Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.3156943Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3157053Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3157172Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.3157305Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.3157420Z              26 RETURN_VALUE
2022-11-23T02:04:39.3157440Z 
2022-11-23T02:04:39.3157538Z  
2022-11-23T02:04:39.3157805Z [2022-11-23 01:56:13,165] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3157917Z  - 
2022-11-23T02:04:39.3158068Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.3158172Z             {
2022-11-23T02:04:39.3158379Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.3158648Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.3158824Z                 'obj_weakref': None
2022-11-23T02:04:39.3159191Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.3159299Z             }
2022-11-23T02:04:39.3159375Z             
2022-11-23T02:04:39.3159495Z  - 
2022-11-23T02:04:39.3159676Z             local 'ex[0]' TYPE_MATCH
2022-11-23T02:04:39.3159779Z             {
2022-11-23T02:04:39.3159981Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T02:04:39.3160222Z                 'code': ['___check_type_id(ex[0], 93849142100368)'],
2022-11-23T02:04:39.3160519Z                 'obj_weakref': <weakref at 0x7fa531fc1d50; to 'Tensor' at 0x7fa53200e890>
2022-11-23T02:04:39.3160865Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3160944Z             }
2022-11-23T02:04:39.3161050Z             
2022-11-23T02:04:39.3161163Z  - 
2022-11-23T02:04:39.3161346Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.3161448Z             {
2022-11-23T02:04:39.3161654Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3161794Z                 'code': None,
2022-11-23T02:04:39.3162090Z                 'obj_weakref': <weakref at 0x7fa531fc1d50; to 'Tensor' at 0x7fa53200e890>
2022-11-23T02:04:39.3162440Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3162546Z             }
2022-11-23T02:04:39.3162644Z             
2022-11-23T02:04:39.3162755Z  - 
2022-11-23T02:04:39.3162944Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.3163021Z             {
2022-11-23T02:04:39.3163219Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3163460Z                 'code': ['___check_obj_id(model, 140347990409856)'],
2022-11-23T02:04:39.3163636Z                 'obj_weakref': None
2022-11-23T02:04:39.3163960Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.3164064Z             }
2022-11-23T02:04:39.3164172Z             
2022-11-23T02:04:39.3164261Z  - 
2022-11-23T02:04:39.3164447Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.3164546Z             {
2022-11-23T02:04:39.3164738Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.3165039Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.3165206Z                 'obj_weakref': None
2022-11-23T02:04:39.3165517Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.3165620Z             }
2022-11-23T02:04:39.3165697Z             
2022-11-23T02:04:39.3165810Z  - 
2022-11-23T02:04:39.3166006Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.3166103Z             {
2022-11-23T02:04:39.3166368Z                 'guard_types': None,
2022-11-23T02:04:39.3166528Z                 'code': None,
2022-11-23T02:04:39.3166675Z                 'obj_weakref': None
2022-11-23T02:04:39.3166853Z                 'guarded_class': None
2022-11-23T02:04:39.3166953Z             }
2022-11-23T02:04:39.3167059Z             
2022-11-23T02:04:39.3167423Z [2022-11-23 01:56:13,178] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 224
2022-11-23T02:04:39.3167920Z [2022-11-23 01:56:15,796] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ou/couvzomtvbr4y3ifqumjl7lyjzynkqmy3k3ljmznr3znu2xvabt4.py
2022-11-23T02:04:39.3168284Z [2022-11-23 01:56:15,796] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 224
2022-11-23T02:04:39.3168305Z 
2022-11-23T02:04:39.3168445Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3168531Z import torch
2022-11-23T02:04:39.3168642Z import random
2022-11-23T02:04:39.3168813Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3168992Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3169011Z 
2022-11-23T02:04:39.3169131Z aten = torch.ops.aten
2022-11-23T02:04:39.3169327Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3169536Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3169557Z 
2022-11-23T02:04:39.3169575Z 
2022-11-23T02:04:39.3169781Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3170041Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3170218Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.3170368Z                        long* __restrict__ out_ptr0,
2022-11-23T02:04:39.3170515Z                        long* __restrict__ out_ptr1)
2022-11-23T02:04:39.3170610Z {
2022-11-23T02:04:39.3170758Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3170857Z     {
2022-11-23T02:04:39.3170954Z         #pragma omp for 
2022-11-23T02:04:39.3171086Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:39.3171188Z         {
2022-11-23T02:04:39.3171292Z             {
2022-11-23T02:04:39.3171397Z                 {
2022-11-23T02:04:39.3171538Z                     auto tmp1 = in_ptr0[i0];
2022-11-23T02:04:39.3171694Z                     auto tmp0 = static_cast<long>(294);
2022-11-23T02:04:39.3171877Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.3172030Z                     auto tmp3 = static_cast<long>(295);
2022-11-23T02:04:39.3172170Z                     auto tmp4 = tmp3 + tmp1;
2022-11-23T02:04:39.3172297Z                     out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.3172425Z                     out_ptr1[i0] = tmp4;
2022-11-23T02:04:39.3172533Z                 }
2022-11-23T02:04:39.3172635Z             }
2022-11-23T02:04:39.3172710Z         }
2022-11-23T02:04:39.3172809Z     }
2022-11-23T02:04:39.3172901Z }
2022-11-23T02:04:39.3173023Z ''')
2022-11-23T02:04:39.3173044Z 
2022-11-23T02:04:39.3173066Z 
2022-11-23T02:04:39.3173202Z async_compile.wait(globals())
2022-11-23T02:04:39.3173312Z del async_compile
2022-11-23T02:04:39.3173331Z 
2022-11-23T02:04:39.3173443Z def call(args):
2022-11-23T02:04:39.3173529Z     arg0_1, = args
2022-11-23T02:04:39.3173637Z     args.clear()
2022-11-23T02:04:39.3173911Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.3174179Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.3174412Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.3174521Z     del arg0_1
2022-11-23T02:04:39.3174640Z     return (buf0, buf1, )
2022-11-23T02:04:39.3174660Z 
2022-11-23T02:04:39.3174679Z 
2022-11-23T02:04:39.3174797Z if __name__ == "__main__":
2022-11-23T02:04:39.3174941Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3175122Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3175474Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.3175635Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.3175654Z 
2022-11-23T02:04:39.3175759Z ok (2.665s)
2022-11-23T02:04:39.3176681Z   test_lowmem_dropout1_cpu (__main__.CpuTests) ... [2022-11-23 01:56:15,805] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3177480Z [2022-11-23 01:56:15,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4158
2022-11-23T02:04:39.3177996Z [2022-11-23 01:56:15,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T02:04:39.3178689Z [2022-11-23 01:56:15,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.3179098Z [2022-11-23 01:56:15,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function dropout at 0x7fa55b6d6680>)]
2022-11-23T02:04:39.3179550Z [2022-11-23 01:56:15,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF weight [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable()]
2022-11-23T02:04:39.3180210Z [2022-11-23 01:56:15,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3180662Z [2022-11-23 01:56:15,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.33 [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable()]
2022-11-23T02:04:39.3181148Z [2022-11-23 01:56:15,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST train [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.3181690Z [2022-11-23 01:56:15,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T02:04:39.3182036Z [2022-11-23 01:56:15,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.3182366Z [2022-11-23 01:56:15,809] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3182703Z [2022-11-23 01:56:15,811] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.3183030Z [2022-11-23 01:56:15,816] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.3183273Z [2022-11-23 01:56:15,816] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3183468Z  __compiled_fn_232 <eval_with_key>.1854 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3183598Z placeholder, x, x, (), {}
2022-11-23T02:04:39.3183744Z placeholder, weight, weight, (), {}
2022-11-23T02:04:39.3183989Z call_function, mul, <built-in function mul>, (x, weight), {}
2022-11-23T02:04:39.3184224Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7fa552906dd0>, (mul, 0.33, False), {}
2022-11-23T02:04:39.3184391Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T02:04:39.3184412Z 
2022-11-23T02:04:39.3184914Z [2022-11-23 01:56:15,817] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 
2022-11-23T02:04:39.3185059Z 4158           0 LOAD_GLOBAL              0 (F)
2022-11-23T02:04:39.3185182Z                2 LOAD_METHOD              1 (dropout)
2022-11-23T02:04:39.3185319Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.3185463Z                6 LOAD_DEREF               0 (weight)
2022-11-23T02:04:39.3185590Z                8 BINARY_MULTIPLY
2022-11-23T02:04:39.3185729Z               10 LOAD_CONST               1 (0.33)
2022-11-23T02:04:39.3185868Z               12 LOAD_FAST                1 (train)
2022-11-23T02:04:39.3186124Z               14 CALL_METHOD              3
2022-11-23T02:04:39.3186219Z               16 RETURN_VALUE
2022-11-23T02:04:39.3186238Z 
2022-11-23T02:04:39.3186334Z  
2022-11-23T02:04:39.3186786Z [2022-11-23 01:56:15,817] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 
2022-11-23T02:04:39.3186947Z 4156           0 LOAD_GLOBAL              2 (__compiled_fn_232)
2022-11-23T02:04:39.3187086Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:39.3187227Z                4 LOAD_DEREF               0 (weight)
2022-11-23T02:04:39.3187362Z                6 CALL_FUNCTION            2
2022-11-23T02:04:39.3187477Z                8 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.3187596Z               10 RETURN_VALUE
2022-11-23T02:04:39.3187620Z 
2022-11-23T02:04:39.3187715Z  
2022-11-23T02:04:39.3187975Z [2022-11-23 01:56:15,818] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3188087Z  - 
2022-11-23T02:04:39.3188265Z             local 'x' TENSOR_MATCH
2022-11-23T02:04:39.3188373Z             {
2022-11-23T02:04:39.3188554Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3188709Z                 'code': None,
2022-11-23T02:04:39.3189059Z                 'obj_weakref': <weakref at 0x7fa53c3d5760; to 'Tensor' at 0x7fa55032f2e0>
2022-11-23T02:04:39.3189415Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3189520Z             }
2022-11-23T02:04:39.3189621Z             
2022-11-23T02:04:39.3189731Z  - 
2022-11-23T02:04:39.3189918Z             local 'train' CONSTANT_MATCH
2022-11-23T02:04:39.3189995Z             {
2022-11-23T02:04:39.3190193Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3190432Z                 'code': ['___check_obj_id(train, 93849050166976)'],
2022-11-23T02:04:39.3190609Z                 'obj_weakref': None
2022-11-23T02:04:39.3190916Z                 'guarded_class': <weakref at 0x7fa6421a27a0; to 'type' at 0x555aef4c3700 (bool)>
2022-11-23T02:04:39.3191024Z             }
2022-11-23T02:04:39.3191129Z             
2022-11-23T02:04:39.3191218Z  - 
2022-11-23T02:04:39.3191404Z             local 'weight' TENSOR_MATCH
2022-11-23T02:04:39.3191510Z             {
2022-11-23T02:04:39.3191718Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3191881Z                 'code': None,
2022-11-23T02:04:39.3192174Z                 'obj_weakref': <weakref at 0x7fa53c3d7060; to 'Tensor' at 0x7fa531e87010>
2022-11-23T02:04:39.3192520Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3192598Z             }
2022-11-23T02:04:39.3192698Z             
2022-11-23T02:04:39.3192808Z  - 
2022-11-23T02:04:39.3192988Z             global 'F' FUNCTION_MATCH
2022-11-23T02:04:39.3193091Z             {
2022-11-23T02:04:39.3193265Z                 'guard_types': None,
2022-11-23T02:04:39.3193398Z                 'code': None,
2022-11-23T02:04:39.3193575Z                 'obj_weakref': None
2022-11-23T02:04:39.3193744Z                 'guarded_class': None
2022-11-23T02:04:39.3193848Z             }
2022-11-23T02:04:39.3193948Z             
2022-11-23T02:04:39.3194307Z [2022-11-23 01:56:15,838] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 225
2022-11-23T02:04:39.3194796Z [2022-11-23 01:56:18,467] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vm/cvm6ml34rplbp6zqymfjdadyu7q3vq6moyzluqln5dj72v4ockdb.py
2022-11-23T02:04:39.3195158Z [2022-11-23 01:56:18,467] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 225
2022-11-23T02:04:39.3195485Z [2022-11-23 01:56:18,469] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 225
2022-11-23T02:04:39.3195975Z [2022-11-23 01:56:18,482] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p7/cp7ut2p4vqyhjnxnp4cfvut45ino34qxx7tvfjfxfb7iehvot3lb.py
2022-11-23T02:04:39.3196469Z [2022-11-23 01:56:18,482] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 225
2022-11-23T02:04:39.3196795Z [2022-11-23 01:56:18,487] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3197224Z [2022-11-23 01:56:18,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4158
2022-11-23T02:04:39.3197518Z [2022-11-23 01:56:18,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T02:04:39.3198067Z [2022-11-23 01:56:18,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.3198469Z [2022-11-23 01:56:18,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function dropout at 0x7fa55b6d6680>)]
2022-11-23T02:04:39.3198918Z [2022-11-23 01:56:18,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF weight [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable()]
2022-11-23T02:04:39.3199463Z [2022-11-23 01:56:18,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3199904Z [2022-11-23 01:56:18,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.33 [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable()]
2022-11-23T02:04:39.3200369Z [2022-11-23 01:56:18,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST train [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.3200905Z [2022-11-23 01:56:18,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7fa55b6d6680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T02:04:39.3201249Z [2022-11-23 01:56:18,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.3201574Z [2022-11-23 01:56:18,494] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3201913Z [2022-11-23 01:56:18,495] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.3202243Z [2022-11-23 01:56:18,502] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.3202510Z [2022-11-23 01:56:18,503] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3202706Z  __compiled_fn_233 <eval_with_key>.1865 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3202837Z placeholder, x, x, (), {}
2022-11-23T02:04:39.3202961Z placeholder, weight, weight, (), {}
2022-11-23T02:04:39.3203206Z call_function, mul, <built-in function mul>, (x, weight), {}
2022-11-23T02:04:39.3203432Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7fa552906dd0>, (mul, 0.33, True), {}
2022-11-23T02:04:39.3203606Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T02:04:39.3203633Z 
2022-11-23T02:04:39.3204084Z [2022-11-23 01:56:18,503] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 
2022-11-23T02:04:39.3204227Z 4158           0 LOAD_GLOBAL              0 (F)
2022-11-23T02:04:39.3204375Z                2 LOAD_METHOD              1 (dropout)
2022-11-23T02:04:39.3204510Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.3204629Z                6 LOAD_DEREF               0 (weight)
2022-11-23T02:04:39.3204753Z                8 BINARY_MULTIPLY
2022-11-23T02:04:39.3204887Z               10 LOAD_CONST               1 (0.33)
2022-11-23T02:04:39.3205030Z               12 LOAD_FAST                1 (train)
2022-11-23T02:04:39.3205162Z               14 CALL_METHOD              3
2022-11-23T02:04:39.3205284Z               16 RETURN_VALUE
2022-11-23T02:04:39.3205366Z 
2022-11-23T02:04:39.3205467Z  
2022-11-23T02:04:39.3205921Z [2022-11-23 01:56:18,504] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 
2022-11-23T02:04:39.3206062Z 4156           0 LOAD_GLOBAL              2 (__compiled_fn_233)
2022-11-23T02:04:39.3206201Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:39.3206345Z                4 LOAD_DEREF               0 (weight)
2022-11-23T02:04:39.3206485Z                6 CALL_FUNCTION            2
2022-11-23T02:04:39.3206628Z                8 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.3206748Z               10 RETURN_VALUE
2022-11-23T02:04:39.3206768Z 
2022-11-23T02:04:39.3206864Z  
2022-11-23T02:04:39.3207098Z [2022-11-23 01:56:18,505] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3207214Z  - 
2022-11-23T02:04:39.3207390Z             local 'x' TENSOR_MATCH
2022-11-23T02:04:39.3207497Z             {
2022-11-23T02:04:39.3207704Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3207869Z                 'code': None,
2022-11-23T02:04:39.3208167Z                 'obj_weakref': <weakref at 0x7fa53c3d5760; to 'Tensor' at 0x7fa55032f2e0>
2022-11-23T02:04:39.3208543Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3208653Z             }
2022-11-23T02:04:39.3208757Z             
2022-11-23T02:04:39.3208869Z  - 
2022-11-23T02:04:39.3209061Z             local 'train' CONSTANT_MATCH
2022-11-23T02:04:39.3209164Z             {
2022-11-23T02:04:39.3209359Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3209574Z                 'code': ['___check_obj_id(train, 93849050167008)'],
2022-11-23T02:04:39.3209749Z                 'obj_weakref': None
2022-11-23T02:04:39.3210058Z                 'guarded_class': <weakref at 0x7fa6421a27a0; to 'type' at 0x555aef4c3700 (bool)>
2022-11-23T02:04:39.3210159Z             }
2022-11-23T02:04:39.3210268Z             
2022-11-23T02:04:39.3210435Z  - 
2022-11-23T02:04:39.3210619Z             local 'weight' TENSOR_MATCH
2022-11-23T02:04:39.3210696Z             {
2022-11-23T02:04:39.3210908Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3211069Z                 'code': None,
2022-11-23T02:04:39.3211370Z                 'obj_weakref': <weakref at 0x7fa53c3d7060; to 'Tensor' at 0x7fa531e87010>
2022-11-23T02:04:39.3211722Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3211829Z             }
2022-11-23T02:04:39.3211933Z             
2022-11-23T02:04:39.3212019Z  - 
2022-11-23T02:04:39.3212197Z             global 'F' FUNCTION_MATCH
2022-11-23T02:04:39.3212293Z             {
2022-11-23T02:04:39.3212467Z                 'guard_types': None,
2022-11-23T02:04:39.3212620Z                 'code': None,
2022-11-23T02:04:39.3212783Z                 'obj_weakref': None
2022-11-23T02:04:39.3212952Z                 'guarded_class': None
2022-11-23T02:04:39.3213034Z             }
2022-11-23T02:04:39.3213132Z             
2022-11-23T02:04:39.3213487Z [2022-11-23 01:56:18,560] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 226
2022-11-23T02:04:39.3213834Z [2022-11-23 01:56:18,561] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T02:04:39.3214324Z [2022-11-23 01:56:21,144] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p2/cp2bvaoolmofi632zudin5mpfnx6pjwnqnwz2se2qgqb6xnlaksw.py
2022-11-23T02:04:39.3214690Z [2022-11-23 01:56:21,144] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 226
2022-11-23T02:04:39.3215045Z [2022-11-23 01:56:21,146] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 226
2022-11-23T02:04:39.3215065Z 
2022-11-23T02:04:39.3215205Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3215307Z import torch
2022-11-23T02:04:39.3215460Z import random
2022-11-23T02:04:39.3215623Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3215798Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3215818Z 
2022-11-23T02:04:39.3215933Z aten = torch.ops.aten
2022-11-23T02:04:39.3216577Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3216795Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3216825Z 
2022-11-23T02:04:39.3216848Z 
2022-11-23T02:04:39.3217194Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3217648Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3217940Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.3218190Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.3218341Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.3218434Z {
2022-11-23T02:04:39.3218575Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3218675Z     {
2022-11-23T02:04:39.3218771Z         #pragma omp for 
2022-11-23T02:04:39.3218893Z         for(long i0=0; i0<12500; i0+=1)
2022-11-23T02:04:39.3218990Z         {
2022-11-23T02:04:39.3219216Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.3219522Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.3219658Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.3219790Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.3219887Z         }
2022-11-23T02:04:39.3220005Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.3220137Z         for(long i0=100000; i0<100000; i0+=1)
2022-11-23T02:04:39.3220235Z         {
2022-11-23T02:04:39.3220358Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.3220478Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:39.3220599Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.3220715Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.3220797Z         }
2022-11-23T02:04:39.3220890Z     }
2022-11-23T02:04:39.3220981Z }
2022-11-23T02:04:39.3221115Z ''')
2022-11-23T02:04:39.3221135Z 
2022-11-23T02:04:39.3221153Z 
2022-11-23T02:04:39.3221290Z async_compile.wait(globals())
2022-11-23T02:04:39.3221398Z del async_compile
2022-11-23T02:04:39.3221421Z 
2022-11-23T02:04:39.3221528Z def call(args):
2022-11-23T02:04:39.3221636Z     primals_1, primals_2 = args
2022-11-23T02:04:39.3221746Z     args.clear()
2022-11-23T02:04:39.3222022Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3222265Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.3222371Z     del primals_2
2022-11-23T02:04:39.3222496Z     return (buf0, primals_1, )
2022-11-23T02:04:39.3222515Z 
2022-11-23T02:04:39.3222534Z 
2022-11-23T02:04:39.3222642Z if __name__ == "__main__":
2022-11-23T02:04:39.3222808Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3222971Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3223257Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3223535Z     primals_2 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3223715Z     print_performance(lambda: call([primals_1, primals_2]))
2022-11-23T02:04:39.3223735Z 
2022-11-23T02:04:39.3223753Z 
2022-11-23T02:04:39.3223891Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3223999Z import torch
2022-11-23T02:04:39.3224103Z import random
2022-11-23T02:04:39.3224248Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3224420Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3224439Z 
2022-11-23T02:04:39.3224555Z aten = torch.ops.aten
2022-11-23T02:04:39.3224743Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3224876Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3225002Z 
2022-11-23T02:04:39.3225020Z 
2022-11-23T02:04:39.3225224Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3225503Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3225679Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.3225833Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.3225956Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.3226053Z {
2022-11-23T02:04:39.3226199Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3226299Z     {
2022-11-23T02:04:39.3226419Z         #pragma omp for 
2022-11-23T02:04:39.3226548Z         for(long i0=0; i0<12500; i0+=1)
2022-11-23T02:04:39.3226624Z         {
2022-11-23T02:04:39.3226816Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.3227003Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.3227136Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.3227277Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.3227382Z         }
2022-11-23T02:04:39.3227526Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.3227661Z         for(long i0=100000; i0<100000; i0+=1)
2022-11-23T02:04:39.3227788Z         {
2022-11-23T02:04:39.3227927Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.3228052Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:39.3228178Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.3228301Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.3228401Z         }
2022-11-23T02:04:39.3228476Z     }
2022-11-23T02:04:39.3228570Z }
2022-11-23T02:04:39.3228697Z ''')
2022-11-23T02:04:39.3228717Z 
2022-11-23T02:04:39.3228735Z 
2022-11-23T02:04:39.3228869Z async_compile.wait(globals())
2022-11-23T02:04:39.3228986Z del async_compile
2022-11-23T02:04:39.3229006Z 
2022-11-23T02:04:39.3229117Z def call(args):
2022-11-23T02:04:39.3229248Z     primals_1, tangents_1 = args
2022-11-23T02:04:39.3229363Z     args.clear()
2022-11-23T02:04:39.3229620Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3229872Z     kernel_cpp_0(c_void_p(tangents_1.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.3229985Z     del primals_1
2022-11-23T02:04:39.3230101Z     del tangents_1
2022-11-23T02:04:39.3230224Z     return (None, buf0, )
2022-11-23T02:04:39.3230244Z 
2022-11-23T02:04:39.3230262Z 
2022-11-23T02:04:39.3230377Z if __name__ == "__main__":
2022-11-23T02:04:39.3230544Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3230699Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3230988Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3231271Z     tangents_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3231456Z     print_performance(lambda: call([primals_1, tangents_1]))
2022-11-23T02:04:39.3231479Z 
2022-11-23T02:04:39.3231498Z 
2022-11-23T02:04:39.3231636Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3231749Z import torch
2022-11-23T02:04:39.3231860Z import random
2022-11-23T02:04:39.3232038Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3232191Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3232234Z 
2022-11-23T02:04:39.3232333Z aten = torch.ops.aten
2022-11-23T02:04:39.3232518Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3232652Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3232875Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T02:04:39.3232895Z 
2022-11-23T02:04:39.3232913Z 
2022-11-23T02:04:39.3233106Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3233390Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3233617Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T02:04:39.3233775Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.3233905Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.3234060Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.3234158Z {
2022-11-23T02:04:39.3234301Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3234401Z     {
2022-11-23T02:04:39.3234524Z         #pragma omp for 
2022-11-23T02:04:39.3234653Z         for(long i0=0; i0<100000; i0+=1)
2022-11-23T02:04:39.3234730Z         {
2022-11-23T02:04:39.3234830Z             {
2022-11-23T02:04:39.3234937Z                 {
2022-11-23T02:04:39.3235067Z                     auto tmp0 = seed0[0];
2022-11-23T02:04:39.3235203Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T02:04:39.3235384Z                     auto tmp7 = in_ptr2[i0];
2022-11-23T02:04:39.3235572Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T02:04:39.3235772Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T02:04:39.3235927Z                     auto tmp3 = static_cast<float>(0.33);
2022-11-23T02:04:39.3236064Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T02:04:39.3236272Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T02:04:39.3236414Z                     auto tmp8 = tmp6 * tmp7;
2022-11-23T02:04:39.3236555Z                     auto tmp9 = tmp5 * tmp8;
2022-11-23T02:04:39.3236726Z                     auto tmp10 = static_cast<float>(1.492537313432836);
2022-11-23T02:04:39.3236843Z                     auto tmp11 = tmp9 * tmp10;
2022-11-23T02:04:39.3236973Z                     out_ptr0[i0] = tmp11;
2022-11-23T02:04:39.3237073Z                 }
2022-11-23T02:04:39.3237175Z             }
2022-11-23T02:04:39.3237278Z         }
2022-11-23T02:04:39.3237377Z     }
2022-11-23T02:04:39.3237449Z }
2022-11-23T02:04:39.3237578Z ''')
2022-11-23T02:04:39.3237598Z 
2022-11-23T02:04:39.3237620Z 
2022-11-23T02:04:39.3237757Z async_compile.wait(globals())
2022-11-23T02:04:39.3237870Z del async_compile
2022-11-23T02:04:39.3237889Z 
2022-11-23T02:04:39.3238000Z def call(args):
2022-11-23T02:04:39.3238142Z     primals_1, primals_2 = args
2022-11-23T02:04:39.3238259Z     args.clear()
2022-11-23T02:04:39.3238450Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T02:04:39.3238710Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3239000Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.3239114Z     del primals_2
2022-11-23T02:04:39.3239282Z     return (buf0, primals_1, seed_cpu_None.clone(), )
2022-11-23T02:04:39.3239302Z 
2022-11-23T02:04:39.3239320Z 
2022-11-23T02:04:39.3239437Z if __name__ == "__main__":
2022-11-23T02:04:39.3239607Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3239787Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3240065Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.3240328Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3240615Z     primals_2 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3240804Z     print_performance(lambda: call([primals_1, primals_2]))
2022-11-23T02:04:39.3240823Z 
2022-11-23T02:04:39.3241324Z [2022-11-23 01:56:23,772] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qd/cqd4g2tiykmkfuoufrmdskbxf6fbg4cl427kzgorf2lnlf2o23yp.py
2022-11-23T02:04:39.3241693Z [2022-11-23 01:56:23,773] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 226
2022-11-23T02:04:39.3241714Z 
2022-11-23T02:04:39.3241855Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3241966Z import torch
2022-11-23T02:04:39.3242083Z import random
2022-11-23T02:04:39.3242328Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3242481Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3242501Z 
2022-11-23T02:04:39.3242624Z aten = torch.ops.aten
2022-11-23T02:04:39.3242820Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3242963Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3242983Z 
2022-11-23T02:04:39.3243001Z 
2022-11-23T02:04:39.3243202Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3243483Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3243656Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.3243813Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.3243944Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.3244092Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.3244191Z {
2022-11-23T02:04:39.3244341Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3244443Z     {
2022-11-23T02:04:39.3244563Z         #pragma omp for 
2022-11-23T02:04:39.3244691Z         for(long i0=0; i0<100000; i0+=1)
2022-11-23T02:04:39.3244769Z         {
2022-11-23T02:04:39.3244871Z             {
2022-11-23T02:04:39.3245037Z                 {
2022-11-23T02:04:39.3245183Z                     auto tmp0 = in_ptr0[0];
2022-11-23T02:04:39.3245326Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T02:04:39.3245465Z                     auto tmp10 = in_ptr2[i0];
2022-11-23T02:04:39.3245611Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T02:04:39.3245787Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T02:04:39.3245938Z                     auto tmp3 = static_cast<float>(0.33);
2022-11-23T02:04:39.3246075Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T02:04:39.3246232Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T02:04:39.3246372Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T02:04:39.3246539Z                     auto tmp8 = static_cast<float>(1.492537313432836);
2022-11-23T02:04:39.3246670Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T02:04:39.3246788Z                     auto tmp11 = tmp9 * tmp10;
2022-11-23T02:04:39.3246917Z                     out_ptr0[i0] = tmp11;
2022-11-23T02:04:39.3247018Z                 }
2022-11-23T02:04:39.3247115Z             }
2022-11-23T02:04:39.3247212Z         }
2022-11-23T02:04:39.3247308Z     }
2022-11-23T02:04:39.3247400Z }
2022-11-23T02:04:39.3247508Z ''')
2022-11-23T02:04:39.3247528Z 
2022-11-23T02:04:39.3247546Z 
2022-11-23T02:04:39.3247679Z async_compile.wait(globals())
2022-11-23T02:04:39.3247794Z del async_compile
2022-11-23T02:04:39.3247813Z 
2022-11-23T02:04:39.3247921Z def call(args):
2022-11-23T02:04:39.3248079Z     primals_1, philox_seed_like, tangents_1 = args
2022-11-23T02:04:39.3248190Z     args.clear()
2022-11-23T02:04:39.3248465Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3248743Z     kernel_cpp_0(c_void_p(philox_seed_like.data_ptr()), c_void_p(tangents_1.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.3248863Z     del philox_seed_like
2022-11-23T02:04:39.3248971Z     del primals_1
2022-11-23T02:04:39.3249079Z     del tangents_1
2022-11-23T02:04:39.3249192Z     return (None, buf0, )
2022-11-23T02:04:39.3249211Z 
2022-11-23T02:04:39.3249229Z 
2022-11-23T02:04:39.3249342Z if __name__ == "__main__":
2022-11-23T02:04:39.3249508Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3249684Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3249952Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3250226Z     philox_seed_like = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.3250508Z     tangents_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3250809Z     print_performance(lambda: call([primals_1, philox_seed_like, tangents_1]))
2022-11-23T02:04:39.3250828Z 
2022-11-23T02:04:39.3250931Z ok (7.984s)
2022-11-23T02:04:39.3251367Z   test_lowmem_dropout2_cpu (__main__.CpuTests) ... [2022-11-23 01:56:23,787] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3251794Z [2022-11-23 01:56:23,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4212
2022-11-23T02:04:39.3252084Z [2022-11-23 01:56:23,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF m []
2022-11-23T02:04:39.3252414Z [2022-11-23 01:56:23,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T02:04:39.3252770Z [2022-11-23 01:56:23,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T02:04:39.3253099Z [2022-11-23 01:56:23,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.3253418Z [2022-11-23 01:56:23,803] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3253803Z [2022-11-23 01:56:23,804] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.3254140Z [2022-11-23 01:56:23,817] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.3254398Z [2022-11-23 01:56:23,818] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3254589Z  __compiled_fn_234 <eval_with_key>.1876 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3254713Z placeholder, x, x, (), {}
2022-11-23T02:04:39.3254818Z call_module, m_0, m_0, (x,), {}
2022-11-23T02:04:39.3254941Z call_module, m_1, m_1, (m_0,), {}
2022-11-23T02:04:39.3255062Z call_module, m_2, m_2, (m_1,), {}
2022-11-23T02:04:39.3255184Z call_module, m_3, m_3, (m_2,), {}
2022-11-23T02:04:39.3255327Z output, output, output, ((m_3,),), {}
2022-11-23T02:04:39.3255347Z 
2022-11-23T02:04:39.3255784Z [2022-11-23 01:56:23,818] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4210 
2022-11-23T02:04:39.3255925Z 4212           0 LOAD_DEREF               0 (m)
2022-11-23T02:04:39.3256449Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:39.3256658Z                4 CALL_FUNCTION            1
2022-11-23T02:04:39.3256834Z                6 RETURN_VALUE
2022-11-23T02:04:39.3256858Z 
2022-11-23T02:04:39.3257008Z  
2022-11-23T02:04:39.3257806Z [2022-11-23 01:56:23,819] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4210 
2022-11-23T02:04:39.3258062Z 4210           0 LOAD_GLOBAL              0 (__compiled_fn_234)
2022-11-23T02:04:39.3258266Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:39.3258420Z                4 CALL_FUNCTION            1
2022-11-23T02:04:39.3258562Z                6 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.3258658Z                8 RETURN_VALUE
2022-11-23T02:04:39.3258682Z 
2022-11-23T02:04:39.3258778Z  
2022-11-23T02:04:39.3259044Z [2022-11-23 01:56:23,819] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3259156Z  - 
2022-11-23T02:04:39.3259317Z             local 'm' NN_MODULE
2022-11-23T02:04:39.3259417Z             {
2022-11-23T02:04:39.3259610Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3259819Z                 'code': ['___check_obj_id(m, 140348156970272)'],
2022-11-23T02:04:39.3260123Z                 'obj_weakref': <weakref at 0x7fa53c3d7b00; to 'Sequential' at 0x7fa55a0a8520>
2022-11-23T02:04:39.3260444Z                 'guarded_class': <weakref at 0x7fa55b5af6f0; to 'type' at 0x555af50dbc20 (Sequential)>
2022-11-23T02:04:39.3260543Z             }
2022-11-23T02:04:39.3260639Z             
2022-11-23T02:04:39.3260747Z  - 
2022-11-23T02:04:39.3261094Z             local 'x' TENSOR_MATCH
2022-11-23T02:04:39.3261172Z             {
2022-11-23T02:04:39.3261373Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3261528Z                 'code': None,
2022-11-23T02:04:39.3261815Z                 'obj_weakref': <weakref at 0x7fa5321f2390; to 'Tensor' at 0x7fa550523290>
2022-11-23T02:04:39.3262157Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3262255Z             }
2022-11-23T02:04:39.3262351Z             
2022-11-23T02:04:39.3262438Z  - 
2022-11-23T02:04:39.3262631Z             local_nn_module 'm[0]' NN_MODULE
2022-11-23T02:04:39.3262729Z             {
2022-11-23T02:04:39.3262898Z                 'guard_types': None,
2022-11-23T02:04:39.3263054Z                 'code': None,
2022-11-23T02:04:39.3263221Z                 'obj_weakref': None
2022-11-23T02:04:39.3263396Z                 'guarded_class': None
2022-11-23T02:04:39.3263474Z             }
2022-11-23T02:04:39.3263574Z             
2022-11-23T02:04:39.3263685Z  - 
2022-11-23T02:04:39.3263879Z             local_nn_module 'm[1]' NN_MODULE
2022-11-23T02:04:39.3263973Z             {
2022-11-23T02:04:39.3264146Z                 'guard_types': None,
2022-11-23T02:04:39.3264359Z                 'code': None,
2022-11-23T02:04:39.3264545Z                 'obj_weakref': None
2022-11-23T02:04:39.3264717Z                 'guarded_class': None
2022-11-23T02:04:39.3264813Z             }
2022-11-23T02:04:39.3264908Z             
2022-11-23T02:04:39.3265015Z  - 
2022-11-23T02:04:39.3265207Z             local_nn_module 'm[2]' NN_MODULE
2022-11-23T02:04:39.3265286Z             {
2022-11-23T02:04:39.3265452Z                 'guard_types': None,
2022-11-23T02:04:39.3265605Z                 'code': None,
2022-11-23T02:04:39.3265775Z                 'obj_weakref': None
2022-11-23T02:04:39.3265946Z                 'guarded_class': None
2022-11-23T02:04:39.3266043Z             }
2022-11-23T02:04:39.3266139Z             
2022-11-23T02:04:39.3266233Z  - 
2022-11-23T02:04:39.3266421Z             local_nn_module 'm[3]' NN_MODULE
2022-11-23T02:04:39.3266519Z             {
2022-11-23T02:04:39.3266687Z                 'guard_types': None,
2022-11-23T02:04:39.3266837Z                 'code': None,
2022-11-23T02:04:39.3267004Z                 'obj_weakref': None
2022-11-23T02:04:39.3267174Z                 'guarded_class': None
2022-11-23T02:04:39.3267251Z             }
2022-11-23T02:04:39.3267344Z             
2022-11-23T02:04:39.3267701Z [2022-11-23 01:56:23,916] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 227
2022-11-23T02:04:39.3268044Z [2022-11-23 01:56:23,918] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T02:04:39.3268534Z [2022-11-23 01:56:26,541] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q2/cq2qwhy6wnhqjwyv24ynmlbkseil6c2pqaiofijtxs4nvfbnmoo3.py
2022-11-23T02:04:39.3268893Z [2022-11-23 01:56:26,542] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 227
2022-11-23T02:04:39.3269251Z [2022-11-23 01:56:26,544] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 227
2022-11-23T02:04:39.3269742Z [2022-11-23 01:56:29,150] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nj/cnjqjqszsgde6iwo7hwhtcf3v6jl7rwy7jjqkknxbgmjq36cdnrw.py
2022-11-23T02:04:39.3270080Z [2022-11-23 01:56:29,151] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 227
2022-11-23T02:04:39.3270122Z 
2022-11-23T02:04:39.3270240Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3270346Z import torch
2022-11-23T02:04:39.3270454Z import random
2022-11-23T02:04:39.3270618Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3270789Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3270809Z 
2022-11-23T02:04:39.3270924Z aten = torch.ops.aten
2022-11-23T02:04:39.3271112Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3271297Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3271519Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T02:04:39.3271540Z 
2022-11-23T02:04:39.3271558Z 
2022-11-23T02:04:39.3271756Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3272038Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3272201Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.3272347Z                        const long* __restrict__ seed0,
2022-11-23T02:04:39.3272489Z                        bool* __restrict__ out_ptr0)
2022-11-23T02:04:39.3272584Z {
2022-11-23T02:04:39.3272708Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3272801Z     {
2022-11-23T02:04:39.3272917Z         #pragma omp for 
2022-11-23T02:04:39.3273038Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T02:04:39.3273137Z         {
2022-11-23T02:04:39.3273239Z             {
2022-11-23T02:04:39.3273322Z                 {
2022-11-23T02:04:39.3273452Z                     auto tmp0 = seed0[0];
2022-11-23T02:04:39.3273593Z                     auto tmp7 = in_out_ptr0[i0];
2022-11-23T02:04:39.3273794Z                     auto tmp1 = static_cast<int>(65535);
2022-11-23T02:04:39.3273938Z                     auto tmp2 = tmp0 ^ tmp1;
2022-11-23T02:04:39.3274086Z                     auto tmp3 = static_cast<int>(i0);
2022-11-23T02:04:39.3274279Z                     auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp2, tmp3));;
2022-11-23T02:04:39.3274431Z                     auto tmp5 = static_cast<float>(0.5);
2022-11-23T02:04:39.3274547Z                     auto tmp6 = tmp4 < tmp5;
2022-11-23T02:04:39.3274699Z                     auto tmp8 = static_cast<float>(tmp6);
2022-11-23T02:04:39.3274833Z                     auto tmp9 = tmp8 / tmp5;
2022-11-23T02:04:39.3274966Z                     auto tmp10 = tmp7 * tmp9;
2022-11-23T02:04:39.3275090Z                     out_ptr0[i0] = tmp6;
2022-11-23T02:04:39.3275226Z                     in_out_ptr0[i0] = tmp10;
2022-11-23T02:04:39.3275324Z                 }
2022-11-23T02:04:39.3275401Z             }
2022-11-23T02:04:39.3275498Z         }
2022-11-23T02:04:39.3275590Z     }
2022-11-23T02:04:39.3275683Z }
2022-11-23T02:04:39.3275812Z ''')
2022-11-23T02:04:39.3275832Z 
2022-11-23T02:04:39.3275850Z 
2022-11-23T02:04:39.3276042Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T02:04:39.3276323Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3276471Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.3276617Z                        const long* __restrict__ seed0,
2022-11-23T02:04:39.3276756Z                        bool* __restrict__ out_ptr0)
2022-11-23T02:04:39.3276850Z {
2022-11-23T02:04:39.3276988Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3277079Z     {
2022-11-23T02:04:39.3277191Z         #pragma omp for 
2022-11-23T02:04:39.3277298Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T02:04:39.3277393Z         {
2022-11-23T02:04:39.3277488Z             {
2022-11-23T02:04:39.3277584Z                 {
2022-11-23T02:04:39.3277709Z                     auto tmp0 = seed0[0];
2022-11-23T02:04:39.3277849Z                     auto tmp7 = in_out_ptr0[i0];
2022-11-23T02:04:39.3277994Z                     auto tmp1 = static_cast<int>(65535);
2022-11-23T02:04:39.3278107Z                     auto tmp2 = tmp0 ^ tmp1;
2022-11-23T02:04:39.3278260Z                     auto tmp3 = static_cast<int>(256 + i0);
2022-11-23T02:04:39.3278453Z                     auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp2, tmp3));;
2022-11-23T02:04:39.3278602Z                     auto tmp5 = static_cast<float>(0.5);
2022-11-23T02:04:39.3278734Z                     auto tmp6 = tmp4 < tmp5;
2022-11-23T02:04:39.3278889Z                     auto tmp8 = static_cast<float>(tmp6);
2022-11-23T02:04:39.3279020Z                     auto tmp9 = tmp8 / tmp5;
2022-11-23T02:04:39.3279197Z                     auto tmp10 = tmp7 * tmp9;
2022-11-23T02:04:39.3279322Z                     out_ptr0[i0] = tmp6;
2022-11-23T02:04:39.3279453Z                     in_out_ptr0[i0] = tmp10;
2022-11-23T02:04:39.3279552Z                 }
2022-11-23T02:04:39.3279655Z             }
2022-11-23T02:04:39.3279748Z         }
2022-11-23T02:04:39.3279845Z     }
2022-11-23T02:04:39.3279917Z }
2022-11-23T02:04:39.3280039Z ''')
2022-11-23T02:04:39.3280058Z 
2022-11-23T02:04:39.3280076Z 
2022-11-23T02:04:39.3280210Z async_compile.wait(globals())
2022-11-23T02:04:39.3280318Z del async_compile
2022-11-23T02:04:39.3280337Z 
2022-11-23T02:04:39.3280443Z def call(args):
2022-11-23T02:04:39.3280590Z     primals_1, primals_2, primals_3 = args
2022-11-23T02:04:39.3280699Z     args.clear()
2022-11-23T02:04:39.3280866Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T02:04:39.3281144Z     buf0 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3281342Z     aten.mm.out(primals_3, as_strided(primals_1, (32, 32), (1, 32)), out=buf0)
2022-11-23T02:04:39.3281454Z     del primals_1
2022-11-23T02:04:39.3281720Z     buf1 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.3281904Z     buf2 = buf0; del buf0  # reuse
2022-11-23T02:04:39.3282151Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.3282423Z     buf3 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3282581Z     aten.mm.out(buf2, as_strided(primals_2, (32, 32), (1, 32)), out=buf3)
2022-11-23T02:04:39.3282842Z     buf4 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.3282965Z     buf5 = buf3; del buf3  # reuse
2022-11-23T02:04:39.3283202Z     kernel_cpp_1(c_void_p(buf5.data_ptr()), c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T02:04:39.3283399Z     return (buf5, primals_3, buf1, buf2, buf4, as_strided(primals_2, (32, 32), (32, 1)), )
2022-11-23T02:04:39.3283425Z 
2022-11-23T02:04:39.3283443Z 
2022-11-23T02:04:39.3283557Z if __name__ == "__main__":
2022-11-23T02:04:39.3283715Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3283894Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3284145Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.3284425Z     primals_1 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3284807Z     primals_2 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3285084Z     primals_3 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3285282Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T02:04:39.3285301Z 
2022-11-23T02:04:39.3285320Z 
2022-11-23T02:04:39.3285458Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3285571Z import torch
2022-11-23T02:04:39.3285679Z import random
2022-11-23T02:04:39.3285825Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3286000Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3286019Z 
2022-11-23T02:04:39.3286145Z aten = torch.ops.aten
2022-11-23T02:04:39.3286334Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3286472Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3286493Z 
2022-11-23T02:04:39.3286512Z 
2022-11-23T02:04:39.3286706Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3286995Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3287185Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.3287341Z                        const bool* __restrict__ in_ptr1,
2022-11-23T02:04:39.3287466Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.3287560Z {
2022-11-23T02:04:39.3287793Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3287890Z     {
2022-11-23T02:04:39.3288006Z         #pragma omp for 
2022-11-23T02:04:39.3288128Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T02:04:39.3288206Z         {
2022-11-23T02:04:39.3288305Z             {
2022-11-23T02:04:39.3288410Z                 {
2022-11-23T02:04:39.3288549Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.3288684Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:39.3288840Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T02:04:39.3288991Z                     auto tmp3 = static_cast<float>(0.5);
2022-11-23T02:04:39.3289104Z                     auto tmp4 = tmp2 / tmp3;
2022-11-23T02:04:39.3289234Z                     auto tmp5 = tmp0 * tmp4;
2022-11-23T02:04:39.3289359Z                     out_ptr0[i0] = tmp5;
2022-11-23T02:04:39.3289460Z                 }
2022-11-23T02:04:39.3289556Z             }
2022-11-23T02:04:39.3289651Z         }
2022-11-23T02:04:39.3289746Z     }
2022-11-23T02:04:39.3289823Z }
2022-11-23T02:04:39.3289953Z ''')
2022-11-23T02:04:39.3289976Z 
2022-11-23T02:04:39.3289995Z 
2022-11-23T02:04:39.3290186Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T02:04:39.3290517Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3290690Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.3290839Z                        const bool* __restrict__ in_ptr0)
2022-11-23T02:04:39.3290931Z {
2022-11-23T02:04:39.3291054Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3291150Z     {
2022-11-23T02:04:39.3291265Z         #pragma omp for 
2022-11-23T02:04:39.3291389Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T02:04:39.3291488Z         {
2022-11-23T02:04:39.3291585Z             {
2022-11-23T02:04:39.3291682Z                 {
2022-11-23T02:04:39.3291802Z                     auto tmp0 = in_out_ptr0[i0];
2022-11-23T02:04:39.3291934Z                     auto tmp1 = in_ptr0[i0];
2022-11-23T02:04:39.3292094Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T02:04:39.3292244Z                     auto tmp3 = static_cast<float>(0.5);
2022-11-23T02:04:39.3292375Z                     auto tmp4 = tmp2 / tmp3;
2022-11-23T02:04:39.3292510Z                     auto tmp5 = tmp0 * tmp4;
2022-11-23T02:04:39.3292646Z                     in_out_ptr0[i0] = tmp5;
2022-11-23T02:04:39.3292726Z                 }
2022-11-23T02:04:39.3292824Z             }
2022-11-23T02:04:39.3292918Z         }
2022-11-23T02:04:39.3293012Z     }
2022-11-23T02:04:39.3293103Z }
2022-11-23T02:04:39.3293288Z ''')
2022-11-23T02:04:39.3293308Z 
2022-11-23T02:04:39.3293326Z 
2022-11-23T02:04:39.3293459Z async_compile.wait(globals())
2022-11-23T02:04:39.3293549Z del async_compile
2022-11-23T02:04:39.3293568Z 
2022-11-23T02:04:39.3293674Z def call(args):
2022-11-23T02:04:39.3293841Z     primals_3, lt, mul, lt_1, permute_4, tangents_1 = args
2022-11-23T02:04:39.3293948Z     args.clear()
2022-11-23T02:04:39.3294227Z     buf0 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3294462Z     kernel_cpp_0(c_void_p(tangents_1.data_ptr()), c_void_p(lt_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.3294567Z     del lt_1
2022-11-23T02:04:39.3294682Z     del tangents_1
2022-11-23T02:04:39.3294937Z     buf1 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3295102Z     aten.mm.out(as_strided(buf0, (32, 8), (1, 32)), mul, out=buf1)
2022-11-23T02:04:39.3295203Z     del mul
2022-11-23T02:04:39.3295468Z     buf2 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3295613Z     aten.mm.out(buf0, permute_4, out=buf2)
2022-11-23T02:04:39.3295712Z     del buf0
2022-11-23T02:04:39.3295821Z     del permute_4
2022-11-23T02:04:39.3295926Z     buf3 = buf2; del buf2  # reuse
2022-11-23T02:04:39.3296613Z     kernel_cpp_1(c_void_p(buf3.data_ptr()), c_void_p(lt.data_ptr()))
2022-11-23T02:04:39.3296811Z     del lt
2022-11-23T02:04:39.3297515Z     buf4 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3297808Z     aten.mm.out(as_strided(buf3, (32, 8), (1, 32)), primals_3, out=buf4)
2022-11-23T02:04:39.3297940Z     del buf3
2022-11-23T02:04:39.3298053Z     del primals_3
2022-11-23T02:04:39.3298235Z     return (as_strided(buf4, (32, 32), (32, 1)), as_strided(buf1, (32, 32), (32, 1)), None, )
2022-11-23T02:04:39.3298256Z 
2022-11-23T02:04:39.3298274Z 
2022-11-23T02:04:39.3298388Z if __name__ == "__main__":
2022-11-23T02:04:39.3298551Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3298725Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3299011Z     primals_3 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3299265Z     lt = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.3299527Z     mul = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3299784Z     lt_1 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.3300042Z     permute_4 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3300397Z     tangents_1 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3300618Z     print_performance(lambda: call([primals_3, lt, mul, lt_1, permute_4, tangents_1]))
2022-11-23T02:04:39.3300638Z 
2022-11-23T02:04:39.3300739Z ok (5.370s)
2022-11-23T02:04:39.3301166Z   test_masked_fill_cpu (__main__.CpuTests) ... [2022-11-23 01:56:29,158] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3301594Z [2022-11-23 01:56:29,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.3301889Z [2022-11-23 01:56:29,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.3302232Z [2022-11-23 01:56:29,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.3302611Z [2022-11-23 01:56:29,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.3303022Z [2022-11-23 01:56:29,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3303483Z [2022-11-23 01:56:29,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3303912Z [2022-11-23 01:56:29,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3304412Z [2022-11-23 01:56:29,159] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9cc90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2456> 
2022-11-23T02:04:39.3304556Z  2457           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.3304701Z                2 LOAD_METHOD              1 (masked_fill)
2022-11-23T02:04:39.3304838Z                4 LOAD_FAST                1 (value)
2022-11-23T02:04:39.3304974Z                6 LOAD_FAST                0 (mask)
2022-11-23T02:04:39.3305180Z                8 LOAD_CONST               1 (-10000.0)
2022-11-23T02:04:39.3305292Z               10 CALL_METHOD              3
2022-11-23T02:04:39.3305420Z               12 LOAD_CONST               2 (2)
2022-11-23T02:04:39.3305531Z               14 BINARY_ADD
2022-11-23T02:04:39.3305669Z               16 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.3305812Z               18 LOAD_METHOD              1 (masked_fill)
2022-11-23T02:04:39.3305832Z 
2022-11-23T02:04:39.3305965Z 2458          20 LOAD_FAST                1 (value)
2022-11-23T02:04:39.3306095Z               22 LOAD_CONST               3 (2.0)
2022-11-23T02:04:39.3306286Z               24 BINARY_TRUE_DIVIDE
2022-11-23T02:04:39.3306407Z               26 LOAD_GLOBAL              2 (torch)
2022-11-23T02:04:39.3306550Z               28 LOAD_METHOD              3 (logical_not)
2022-11-23T02:04:39.3306681Z               30 LOAD_FAST                0 (mask)
2022-11-23T02:04:39.3306813Z               32 CALL_METHOD              1
2022-11-23T02:04:39.3306945Z               34 LOAD_CONST               4 (667)
2022-11-23T02:04:39.3306964Z 
2022-11-23T02:04:39.3307096Z 2457          36 CALL_METHOD              3
2022-11-23T02:04:39.3307226Z               38 BUILD_TUPLE              2
2022-11-23T02:04:39.3307320Z               40 RETURN_VALUE
2022-11-23T02:04:39.3307415Z  
2022-11-23T02:04:39.3307434Z 
2022-11-23T02:04:39.3307864Z [2022-11-23 01:56:29,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2457
2022-11-23T02:04:39.3308164Z [2022-11-23 01:56:29,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.3308590Z [2022-11-23 01:56:29,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.3308999Z [2022-11-23 01:56:29,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)]
2022-11-23T02:04:39.3309397Z [2022-11-23 01:56:29,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T02:04:39.3309833Z [2022-11-23 01:56:29,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10000.0 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3310326Z [2022-11-23 01:56:29,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.3310648Z [2022-11-23 01:56:29,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:39.3311009Z [2022-11-23 01:56:29,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3311347Z [2022-11-23 01:56:29,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.3311800Z [2022-11-23 01:56:29,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.3312221Z [2022-11-23 01:56:29,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2458
2022-11-23T02:04:39.3312616Z [2022-11-23 01:56:29,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TensorVariable(), TorchVariable(aten.masked_fill)]
2022-11-23T02:04:39.3313042Z [2022-11-23 01:56:29,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T02:04:39.3313549Z [2022-11-23 01:56:29,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.3313982Z [2022-11-23 01:56:29,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T02:04:39.3314675Z [2022-11-23 01:56:29,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.3315261Z [2022-11-23 01:56:29,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.3315988Z [2022-11-23 01:56:29,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.3316459Z [2022-11-23 01:56:29,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 667 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3316881Z [2022-11-23 01:56:29,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2457
2022-11-23T02:04:39.3317380Z [2022-11-23 01:56:29,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3317752Z [2022-11-23 01:56:29,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3318092Z [2022-11-23 01:56:29,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3318668Z [2022-11-23 01:56:29,187] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9cc90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2456>
2022-11-23T02:04:39.3319015Z [2022-11-23 01:56:29,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3319332Z [2022-11-23 01:56:29,187] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3319676Z [2022-11-23 01:56:29,190] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.3320050Z [2022-11-23 01:56:29,198] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.3320320Z [2022-11-23 01:56:29,198] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3320520Z  __compiled_fn_235 <eval_with_key>.1887 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3320632Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.3320761Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.3321030Z call_function, masked_fill, aten.masked_fill, (ex_1_, ex_0_, -10000.0), {}
2022-11-23T02:04:39.3321282Z call_function, add, <built-in function add>, (masked_fill, 2), {}
2022-11-23T02:04:39.3321543Z call_function, truediv, <built-in function truediv>, (ex_1_, 2.0), {}
2022-11-23T02:04:39.3321879Z call_function, logical_not, <built-in method logical_not of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.3322082Z call_function, masked_fill_1, aten.masked_fill, (truediv, logical_not, 667), {}
2022-11-23T02:04:39.3322242Z output, output, output, ((add, masked_fill_1),), {}
2022-11-23T02:04:39.3322269Z 
2022-11-23T02:04:39.3322689Z [2022-11-23 01:56:29,199] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3322829Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.3322960Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3323090Z               4 BUILD_MAP                0
2022-11-23T02:04:39.3323231Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.3323356Z               8 DICT_MERGE               1
2022-11-23T02:04:39.3323489Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.3323584Z              12 RETURN_VALUE
2022-11-23T02:04:39.3323624Z 
2022-11-23T02:04:39.3323698Z  
2022-11-23T02:04:39.3324133Z [2022-11-23 01:56:29,199] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3324293Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_235)
2022-11-23T02:04:39.3324431Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3324567Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3324782Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.3324912Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3325022Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3325137Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.3325272Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.3325425Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.3325571Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3325698Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3325818Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.3325944Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3326076Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3326189Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.3326316Z              30 BUILD_TUPLE              2
2022-11-23T02:04:39.3326429Z              32 RETURN_VALUE
2022-11-23T02:04:39.3326453Z 
2022-11-23T02:04:39.3326547Z  
2022-11-23T02:04:39.3326811Z [2022-11-23 01:56:29,200] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3326901Z  - 
2022-11-23T02:04:39.3327075Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.3327175Z             {
2022-11-23T02:04:39.3327436Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.3327704Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.3327875Z                 'obj_weakref': None
2022-11-23T02:04:39.3328186Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.3328285Z             }
2022-11-23T02:04:39.3328363Z             
2022-11-23T02:04:39.3328471Z  - 
2022-11-23T02:04:39.3328652Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.3328750Z             {
2022-11-23T02:04:39.3328950Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3329104Z                 'code': None,
2022-11-23T02:04:39.3329384Z                 'obj_weakref': <weakref at 0x7fa5321bd0d0; to 'Tensor' at 0x7fa53200e890>
2022-11-23T02:04:39.3329732Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3329833Z             }
2022-11-23T02:04:39.3329930Z             
2022-11-23T02:04:39.3330037Z  - 
2022-11-23T02:04:39.3330216Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.3330310Z             {
2022-11-23T02:04:39.3330491Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3330646Z                 'code': None,
2022-11-23T02:04:39.3330936Z                 'obj_weakref': <weakref at 0x7fa61a7b6430; to 'Tensor' at 0x7fa6237e32e0>
2022-11-23T02:04:39.3331275Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3331372Z             }
2022-11-23T02:04:39.3331470Z             
2022-11-23T02:04:39.3331583Z  - 
2022-11-23T02:04:39.3331746Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.3331844Z             {
2022-11-23T02:04:39.3332032Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3332267Z                 'code': ['___check_obj_id(model, 140347486172448)'],
2022-11-23T02:04:39.3332439Z                 'obj_weakref': None
2022-11-23T02:04:39.3332755Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.3332853Z             }
2022-11-23T02:04:39.3332930Z             
2022-11-23T02:04:39.3333038Z  - 
2022-11-23T02:04:39.3333207Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.3333307Z             {
2022-11-23T02:04:39.3333500Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.3333795Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.3333959Z                 'obj_weakref': None
2022-11-23T02:04:39.3334262Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.3334417Z             }
2022-11-23T02:04:39.3334515Z             
2022-11-23T02:04:39.3334621Z  - 
2022-11-23T02:04:39.3334804Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.3334904Z             {
2022-11-23T02:04:39.3335076Z                 'guard_types': None,
2022-11-23T02:04:39.3335208Z                 'code': None,
2022-11-23T02:04:39.3335373Z                 'obj_weakref': None
2022-11-23T02:04:39.3335540Z                 'guarded_class': None
2022-11-23T02:04:39.3335633Z             }
2022-11-23T02:04:39.3335725Z             
2022-11-23T02:04:39.3335829Z  - 
2022-11-23T02:04:39.3336014Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.3336675Z             {
2022-11-23T02:04:39.3336968Z                 'guard_types': None,
2022-11-23T02:04:39.3337221Z                 'code': None,
2022-11-23T02:04:39.3337493Z                 'obj_weakref': None
2022-11-23T02:04:39.3337789Z                 'guarded_class': None
2022-11-23T02:04:39.3337948Z             }
2022-11-23T02:04:39.3338107Z             
2022-11-23T02:04:39.3338558Z [2022-11-23 01:56:29,219] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 228
2022-11-23T02:04:39.3339302Z [2022-11-23 01:56:31,902] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gp/cgpbbpmltqqycfqapjh2kd5wq6uom6rvgiqxp6wmh2lvtddh64w4.py
2022-11-23T02:04:39.3339680Z [2022-11-23 01:56:31,902] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 228
2022-11-23T02:04:39.3339704Z 
2022-11-23T02:04:39.3339841Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3339947Z import torch
2022-11-23T02:04:39.3340054Z import random
2022-11-23T02:04:39.3340218Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3340391Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3340410Z 
2022-11-23T02:04:39.3340508Z aten = torch.ops.aten
2022-11-23T02:04:39.3340702Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3340836Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3340855Z 
2022-11-23T02:04:39.3340875Z 
2022-11-23T02:04:39.3341067Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3341353Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3341519Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T02:04:39.3341670Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.3341815Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.3341937Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.3342032Z {
2022-11-23T02:04:39.3342173Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3342268Z     {
2022-11-23T02:04:39.3342389Z         #pragma omp for 
2022-11-23T02:04:39.3342511Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.3342604Z         {
2022-11-23T02:04:39.3342709Z             #pragma GCC ivdep
2022-11-23T02:04:39.3342834Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T02:04:39.3342930Z             {
2022-11-23T02:04:39.3343027Z                 {
2022-11-23T02:04:39.3343129Z                     {
2022-11-23T02:04:39.3343275Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:39.3343404Z                         auto tmp2 = in_ptr1[i1 + (16*i0)];
2022-11-23T02:04:39.3343641Z                         auto tmp1 = static_cast<float>(-10000.0);
2022-11-23T02:04:39.3343787Z                         auto tmp3 = tmp0 ? tmp1 : tmp2;
2022-11-23T02:04:39.3343939Z                         auto tmp4 = static_cast<float>(2);
2022-11-23T02:04:39.3344076Z                         auto tmp5 = tmp3 + tmp4;
2022-11-23T02:04:39.3344210Z                         auto tmp6 = tmp0 == 0;
2022-11-23T02:04:39.3344367Z                         auto tmp7 = static_cast<float>(667.0);
2022-11-23T02:04:39.3344524Z                         auto tmp8 = static_cast<float>(2.0);
2022-11-23T02:04:39.3344742Z                         auto tmp9 = tmp2 / tmp8;
2022-11-23T02:04:39.3344889Z                         auto tmp10 = tmp6 ? tmp7 : tmp9;
2022-11-23T02:04:39.3345030Z                         out_ptr0[i1 + (16*i0)] = tmp5;
2022-11-23T02:04:39.3345174Z                         out_ptr1[i1 + (16*i0)] = tmp10;
2022-11-23T02:04:39.3345276Z                     }
2022-11-23T02:04:39.3345375Z                 }
2022-11-23T02:04:39.3345475Z             }
2022-11-23T02:04:39.3345552Z         }
2022-11-23T02:04:39.3345648Z     }
2022-11-23T02:04:39.3345741Z }
2022-11-23T02:04:39.3345865Z ''')
2022-11-23T02:04:39.3345885Z 
2022-11-23T02:04:39.3345903Z 
2022-11-23T02:04:39.3346037Z async_compile.wait(globals())
2022-11-23T02:04:39.3346151Z del async_compile
2022-11-23T02:04:39.3346172Z 
2022-11-23T02:04:39.3346277Z def call(args):
2022-11-23T02:04:39.3346372Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.3346485Z     args.clear()
2022-11-23T02:04:39.3346766Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3347043Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3347367Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.3347478Z     del arg0_1
2022-11-23T02:04:39.3347581Z     del arg1_1
2022-11-23T02:04:39.3347677Z     return (buf0, buf1, )
2022-11-23T02:04:39.3347714Z 
2022-11-23T02:04:39.3347734Z 
2022-11-23T02:04:39.3347830Z if __name__ == "__main__":
2022-11-23T02:04:39.3347996Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3348171Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3348444Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.3348718Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3348883Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.3348906Z 
2022-11-23T02:04:39.3349009Z ok (2.752s)
2022-11-23T02:04:39.3349447Z   test_masked_fill_promotion_cpu (__main__.CpuTests) ... [2022-11-23 01:56:31,911] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:39.3349858Z [2022-11-23 01:56:31,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2471
2022-11-23T02:04:39.3350165Z [2022-11-23 01:56:31,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.3350591Z [2022-11-23 01:56:31,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.3350955Z [2022-11-23 01:56:31,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)]
2022-11-23T02:04:39.3351348Z [2022-11-23 01:56:31,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T02:04:39.3351792Z [2022-11-23 01:56:31,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3352431Z [2022-11-23 01:56:31,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.3353016Z [2022-11-23 01:56:31,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.5 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.3353644Z [2022-11-23 01:56:31,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(float)]
2022-11-23T02:04:39.3354189Z [2022-11-23 01:56:31,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3354529Z [2022-11-23 01:56:31,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.3354849Z [2022-11-23 01:56:31,925] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:39.3355164Z [2022-11-23 01:56:31,926] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.3355493Z [2022-11-23 01:56:31,932] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.3355755Z [2022-11-23 01:56:31,933] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3355945Z  __compiled_fn_236 <eval_with_key>.1893 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3356086Z placeholder, mask, mask, (), {}
2022-11-23T02:04:39.3356221Z placeholder, value, value, (), {}
2022-11-23T02:04:39.3356535Z call_function, tensor, <built-in method tensor of type object at 0x7fa5855aec60>, (3.5,), {}
2022-11-23T02:04:39.3356781Z call_function, masked_fill, aten.masked_fill, (value, mask, tensor), {}
2022-11-23T02:04:39.3356925Z output, output, output, ((masked_fill,),), {}
2022-11-23T02:04:39.3356947Z 
2022-11-23T02:04:39.3357386Z [2022-11-23 01:56:31,934] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 
2022-11-23T02:04:39.3357523Z 2471           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.3357669Z                2 LOAD_METHOD              1 (masked_fill)
2022-11-23T02:04:39.3357802Z                4 LOAD_FAST                1 (value)
2022-11-23T02:04:39.3357934Z                6 LOAD_FAST                0 (mask)
2022-11-23T02:04:39.3358068Z                8 LOAD_GLOBAL              2 (torch)
2022-11-23T02:04:39.3358209Z               10 LOAD_METHOD              3 (tensor)
2022-11-23T02:04:39.3358322Z               12 LOAD_CONST               1 (3.5)
2022-11-23T02:04:39.3358449Z               14 CALL_METHOD              1
2022-11-23T02:04:39.3358584Z               16 CALL_METHOD              3
2022-11-23T02:04:39.3358703Z               18 RETURN_VALUE
2022-11-23T02:04:39.3358722Z 
2022-11-23T02:04:39.3358815Z  
2022-11-23T02:04:39.3359255Z [2022-11-23 01:56:31,934] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 
2022-11-23T02:04:39.3359412Z 2470           0 LOAD_GLOBAL              4 (__compiled_fn_236)
2022-11-23T02:04:39.3359528Z                2 LOAD_FAST                0 (mask)
2022-11-23T02:04:39.3359664Z                4 LOAD_FAST                1 (value)
2022-11-23T02:04:39.3359795Z                6 CALL_FUNCTION            2
2022-11-23T02:04:39.3359930Z                8 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.3360051Z               10 RETURN_VALUE
2022-11-23T02:04:39.3360070Z 
2022-11-23T02:04:39.3360165Z  
2022-11-23T02:04:39.3360420Z [2022-11-23 01:56:31,934] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3360533Z  - 
2022-11-23T02:04:39.3360695Z             local 'mask' TENSOR_MATCH
2022-11-23T02:04:39.3360793Z             {
2022-11-23T02:04:39.3360995Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3361152Z                 'code': None,
2022-11-23T02:04:39.3361446Z                 'obj_weakref': <weakref at 0x7fa55a05d530; to 'Tensor' at 0x7fa5321bd300>
2022-11-23T02:04:39.3361787Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3361885Z             }
2022-11-23T02:04:39.3361962Z             
2022-11-23T02:04:39.3362070Z  - 
2022-11-23T02:04:39.3362244Z             local 'value' TENSOR_MATCH
2022-11-23T02:04:39.3362344Z             {
2022-11-23T02:04:39.3362549Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3362776Z                 'code': None,
2022-11-23T02:04:39.3363061Z                 'obj_weakref': <weakref at 0x7fa55031c680; to 'Tensor' at 0x7fa5500f7b50>
2022-11-23T02:04:39.3363383Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3363481Z             }
2022-11-23T02:04:39.3363576Z             
2022-11-23T02:04:39.3363682Z  - 
2022-11-23T02:04:39.3363866Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.3363963Z             {
2022-11-23T02:04:39.3364135Z                 'guard_types': None,
2022-11-23T02:04:39.3364271Z                 'code': None,
2022-11-23T02:04:39.3364438Z                 'obj_weakref': None
2022-11-23T02:04:39.3364607Z                 'guarded_class': None
2022-11-23T02:04:39.3364704Z             }
2022-11-23T02:04:39.3364798Z             
2022-11-23T02:04:39.3364904Z  - 
2022-11-23T02:04:39.3365072Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.3365175Z             {
2022-11-23T02:04:39.3365344Z                 'guard_types': None,
2022-11-23T02:04:39.3365496Z                 'code': None,
2022-11-23T02:04:39.3365666Z                 'obj_weakref': None
2022-11-23T02:04:39.3365893Z                 'guarded_class': None
2022-11-23T02:04:39.3365996Z             }
2022-11-23T02:04:39.3366073Z             
2022-11-23T02:04:39.3366432Z [2022-11-23 01:56:31,946] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 229
2022-11-23T02:04:39.3366920Z [2022-11-23 01:56:34,569] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fi/cfil5wpl4sx2s5xdm2ginudklcdoqmrx27wbco6423brxrkaqzfv.py
2022-11-23T02:04:39.3367279Z [2022-11-23 01:56:34,569] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 229
2022-11-23T02:04:39.3367599Z [2022-11-23 01:56:34,574] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:39.3368026Z [2022-11-23 01:56:34,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2471
2022-11-23T02:04:39.3368324Z [2022-11-23 01:56:34,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.3368748Z [2022-11-23 01:56:34,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.3369106Z [2022-11-23 01:56:34,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)]
2022-11-23T02:04:39.3369503Z [2022-11-23 01:56:34,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T02:04:39.3369918Z [2022-11-23 01:56:34,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3370554Z [2022-11-23 01:56:34,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.3371144Z [2022-11-23 01:56:34,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.5 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.3371785Z [2022-11-23 01:56:34,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(float)]
2022-11-23T02:04:39.3372260Z [2022-11-23 01:56:34,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3372600Z [2022-11-23 01:56:34,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.3372994Z [2022-11-23 01:56:34,587] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:39.3373329Z [2022-11-23 01:56:34,589] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.3373654Z [2022-11-23 01:56:34,595] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.3373916Z [2022-11-23 01:56:34,596] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3374107Z  __compiled_fn_237 <eval_with_key>.1899 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3374222Z placeholder, mask, mask, (), {}
2022-11-23T02:04:39.3374418Z placeholder, value, value, (), {}
2022-11-23T02:04:39.3374728Z call_function, tensor, <built-in method tensor of type object at 0x7fa5855aec60>, (3.5,), {}
2022-11-23T02:04:39.3374928Z call_function, masked_fill, aten.masked_fill, (value, mask, tensor), {}
2022-11-23T02:04:39.3375092Z output, output, output, ((masked_fill,),), {}
2022-11-23T02:04:39.3375116Z 
2022-11-23T02:04:39.3375609Z [2022-11-23 01:56:34,596] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 
2022-11-23T02:04:39.3375760Z 2471           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.3375906Z                2 LOAD_METHOD              1 (masked_fill)
2022-11-23T02:04:39.3376380Z                4 LOAD_FAST                1 (value)
2022-11-23T02:04:39.3376636Z                6 LOAD_FAST                0 (mask)
2022-11-23T02:04:39.3376875Z                8 LOAD_GLOBAL              2 (torch)
2022-11-23T02:04:39.3377074Z               10 LOAD_METHOD              3 (tensor)
2022-11-23T02:04:39.3377287Z               12 LOAD_CONST               1 (3.5)
2022-11-23T02:04:39.3377493Z               14 CALL_METHOD              1
2022-11-23T02:04:39.3377698Z               16 CALL_METHOD              3
2022-11-23T02:04:39.3377864Z               18 RETURN_VALUE
2022-11-23T02:04:39.3377916Z 
2022-11-23T02:04:39.3378025Z  
2022-11-23T02:04:39.3378505Z [2022-11-23 01:56:34,596] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 
2022-11-23T02:04:39.3378662Z 2470           0 LOAD_GLOBAL              4 (__compiled_fn_237)
2022-11-23T02:04:39.3378793Z                2 LOAD_FAST                0 (mask)
2022-11-23T02:04:39.3378931Z                4 LOAD_FAST                1 (value)
2022-11-23T02:04:39.3379060Z                6 CALL_FUNCTION            2
2022-11-23T02:04:39.3379192Z                8 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.3379286Z               10 RETURN_VALUE
2022-11-23T02:04:39.3379304Z 
2022-11-23T02:04:39.3379397Z  
2022-11-23T02:04:39.3379651Z [2022-11-23 01:56:34,597] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3379760Z  - 
2022-11-23T02:04:39.3379938Z             local 'mask' TENSOR_MATCH
2022-11-23T02:04:39.3380040Z             {
2022-11-23T02:04:39.3380243Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3380378Z                 'code': None,
2022-11-23T02:04:39.3380673Z                 'obj_weakref': <weakref at 0x7fa55016f8d0; to 'Tensor' at 0x7fa5321bdb70>
2022-11-23T02:04:39.3381018Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3381114Z             }
2022-11-23T02:04:39.3381210Z             
2022-11-23T02:04:39.3381315Z  - 
2022-11-23T02:04:39.3381496Z             local 'value' TENSOR_MATCH
2022-11-23T02:04:39.3381573Z             {
2022-11-23T02:04:39.3381771Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3381920Z                 'code': None,
2022-11-23T02:04:39.3382203Z                 'obj_weakref': <weakref at 0x7fa53227fa10; to 'Tensor' at 0x7fa5321be610>
2022-11-23T02:04:39.3382543Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3382832Z             }
2022-11-23T02:04:39.3382926Z             
2022-11-23T02:04:39.3383014Z  - 
2022-11-23T02:04:39.3383199Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.3383295Z             {
2022-11-23T02:04:39.3383467Z                 'guard_types': None,
2022-11-23T02:04:39.3383617Z                 'code': None,
2022-11-23T02:04:39.3383785Z                 'obj_weakref': None
2022-11-23T02:04:39.3383953Z                 'guarded_class': None
2022-11-23T02:04:39.3384029Z             }
2022-11-23T02:04:39.3384128Z             
2022-11-23T02:04:39.3384232Z  - 
2022-11-23T02:04:39.3384416Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.3384512Z             {
2022-11-23T02:04:39.3384723Z                 'guard_types': None,
2022-11-23T02:04:39.3384884Z                 'code': None,
2022-11-23T02:04:39.3385033Z                 'obj_weakref': None
2022-11-23T02:04:39.3385203Z                 'guarded_class': None
2022-11-23T02:04:39.3385303Z             }
2022-11-23T02:04:39.3385398Z             
2022-11-23T02:04:39.3385751Z [2022-11-23 01:56:34,610] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 230
2022-11-23T02:04:39.3386314Z [2022-11-23 01:56:37,254] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vd/cvdg7zqluijvsh2jx72ntsfwy5etfz7vkfyhdkhggchi4vmzyy55.py
2022-11-23T02:04:39.3386683Z [2022-11-23 01:56:37,255] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 230
2022-11-23T02:04:39.3386704Z 
2022-11-23T02:04:39.3386842Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3386929Z import torch
2022-11-23T02:04:39.3387033Z import random
2022-11-23T02:04:39.3387198Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3387367Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3387387Z 
2022-11-23T02:04:39.3387504Z aten = torch.ops.aten
2022-11-23T02:04:39.3387691Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3387829Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3387849Z 
2022-11-23T02:04:39.3387867Z 
2022-11-23T02:04:39.3388038Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3388318Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3388484Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T02:04:39.3388634Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.3388779Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.3388874Z {
2022-11-23T02:04:39.3389015Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3389091Z     {
2022-11-23T02:04:39.3389208Z         #pragma omp for 
2022-11-23T02:04:39.3389329Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.3389426Z         {
2022-11-23T02:04:39.3389548Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T02:04:39.3389642Z             {
2022-11-23T02:04:39.3389796Z                 float g_tmp_buffer_in_ptr0[8] = {0};
2022-11-23T02:04:39.3389954Z                 flag_to_float(in_ptr0 + 8*i1, g_tmp_buffer_in_ptr0, 8);
2022-11-23T02:04:39.3390195Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T02:04:39.3390398Z                 auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (16*i0));
2022-11-23T02:04:39.3390587Z                 auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3.5));
2022-11-23T02:04:39.3390765Z                 auto tmp3 = decltype(tmp1)::blendv(tmp2, tmp1, tmp0);
2022-11-23T02:04:39.3390913Z                 tmp3.store(out_ptr0 + (8*i1) + (16*i0));
2022-11-23T02:04:39.3391009Z             }
2022-11-23T02:04:39.3391144Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.3391251Z             for(long i1=16; i1<16; i1+=1)
2022-11-23T02:04:39.3391347Z             {
2022-11-23T02:04:39.3391473Z                 auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:39.3391674Z                 auto tmp2 = in_ptr1[i1 + (16*i0)];
2022-11-23T02:04:39.3391822Z                 auto tmp1 = static_cast<float>(3.5);
2022-11-23T02:04:39.3391962Z                 auto tmp3 = tmp0 ? tmp1 : tmp2;
2022-11-23T02:04:39.3392097Z                 out_ptr0[i1 + (16*i0)] = tmp3;
2022-11-23T02:04:39.3392175Z             }
2022-11-23T02:04:39.3392268Z         }
2022-11-23T02:04:39.3392365Z     }
2022-11-23T02:04:39.3392458Z }
2022-11-23T02:04:39.3392582Z ''')
2022-11-23T02:04:39.3392602Z 
2022-11-23T02:04:39.3392620Z 
2022-11-23T02:04:39.3392755Z async_compile.wait(globals())
2022-11-23T02:04:39.3392865Z del async_compile
2022-11-23T02:04:39.3392885Z 
2022-11-23T02:04:39.3392990Z def call(args):
2022-11-23T02:04:39.3393087Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.3393194Z     args.clear()
2022-11-23T02:04:39.3393471Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3393695Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.3393803Z     del arg0_1
2022-11-23T02:04:39.3393904Z     del arg1_1
2022-11-23T02:04:39.3394011Z     return (buf0, )
2022-11-23T02:04:39.3394031Z 
2022-11-23T02:04:39.3394049Z 
2022-11-23T02:04:39.3394143Z if __name__ == "__main__":
2022-11-23T02:04:39.3394428Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3394609Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3394875Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.3395146Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3395309Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.3395329Z 
2022-11-23T02:04:39.3395347Z 
2022-11-23T02:04:39.3395483Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3395592Z import torch
2022-11-23T02:04:39.3395680Z import random
2022-11-23T02:04:39.3395842Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3396012Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3396033Z 
2022-11-23T02:04:39.3396149Z aten = torch.ops.aten
2022-11-23T02:04:39.3396336Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3396472Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3396491Z 
2022-11-23T02:04:39.3396509Z 
2022-11-23T02:04:39.3396704Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3396984Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3397134Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T02:04:39.3397283Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:39.3397423Z                        long* __restrict__ out_ptr0)
2022-11-23T02:04:39.3397518Z {
2022-11-23T02:04:39.3397658Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3397752Z     {
2022-11-23T02:04:39.3397866Z         #pragma omp for 
2022-11-23T02:04:39.3397973Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.3398072Z         {
2022-11-23T02:04:39.3398190Z             #pragma GCC ivdep
2022-11-23T02:04:39.3398314Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T02:04:39.3398411Z             {
2022-11-23T02:04:39.3398508Z                 {
2022-11-23T02:04:39.3398612Z                     {
2022-11-23T02:04:39.3398734Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:39.3398878Z                         auto tmp3 = in_ptr1[i1 + (16*i0)];
2022-11-23T02:04:39.3399031Z                         auto tmp1 = static_cast<float>(3.5);
2022-11-23T02:04:39.3399187Z                         auto tmp2 = static_cast<long>(tmp1);
2022-11-23T02:04:39.3399332Z                         auto tmp4 = tmp0 ? tmp2 : tmp3;
2022-11-23T02:04:39.3399471Z                         out_ptr0[i1 + (16*i0)] = tmp4;
2022-11-23T02:04:39.3399572Z                     }
2022-11-23T02:04:39.3399653Z                 }
2022-11-23T02:04:39.3399818Z             }
2022-11-23T02:04:39.3399912Z         }
2022-11-23T02:04:39.3400009Z     }
2022-11-23T02:04:39.3400103Z }
2022-11-23T02:04:39.3400227Z ''')
2022-11-23T02:04:39.3400247Z 
2022-11-23T02:04:39.3400265Z 
2022-11-23T02:04:39.3400397Z async_compile.wait(globals())
2022-11-23T02:04:39.3400491Z del async_compile
2022-11-23T02:04:39.3400511Z 
2022-11-23T02:04:39.3400620Z def call(args):
2022-11-23T02:04:39.3400733Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.3400839Z     args.clear()
2022-11-23T02:04:39.3401112Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.3401338Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.3401442Z     del arg0_1
2022-11-23T02:04:39.3401526Z     del arg1_1
2022-11-23T02:04:39.3401633Z     return (buf0, )
2022-11-23T02:04:39.3401654Z 
2022-11-23T02:04:39.3401673Z 
2022-11-23T02:04:39.3401789Z if __name__ == "__main__":
2022-11-23T02:04:39.3401951Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3402131Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3402395Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.3402762Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.3402941Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.3402961Z 
2022-11-23T02:04:39.3403043Z ok (5.352s)
2022-11-23T02:04:39.3403457Z   test_max_min_cpu (__main__.CpuTests) ... [2022-11-23 01:56:37,262] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3403892Z [2022-11-23 01:56:37,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.3404194Z [2022-11-23 01:56:37,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.3404537Z [2022-11-23 01:56:37,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.3404918Z [2022-11-23 01:56:37,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.3405352Z [2022-11-23 01:56:37,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3405924Z [2022-11-23 01:56:37,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3406359Z [2022-11-23 01:56:37,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3406866Z [2022-11-23 01:56:37,263] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641158df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 682> 
2022-11-23T02:04:39.3406994Z  683           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.3407136Z               2 LOAD_METHOD              1 (maximum)
2022-11-23T02:04:39.3407267Z               4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.3407405Z               6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.3407534Z               8 CALL_METHOD              2
2022-11-23T02:04:39.3407673Z              10 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.3407810Z              12 LOAD_METHOD              2 (minimum)
2022-11-23T02:04:39.3407935Z              14 LOAD_FAST                0 (a)
2022-11-23T02:04:39.3408044Z              16 LOAD_FAST                1 (b)
2022-11-23T02:04:39.3408170Z              18 CALL_METHOD              2
2022-11-23T02:04:39.3408298Z              20 BUILD_TUPLE              2
2022-11-23T02:04:39.3408412Z              22 RETURN_VALUE
2022-11-23T02:04:39.3408506Z  
2022-11-23T02:04:39.3408527Z 
2022-11-23T02:04:39.3408960Z [2022-11-23 01:56:37,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:683
2022-11-23T02:04:39.3409352Z [2022-11-23 01:56:37,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.3409852Z [2022-11-23 01:56:37,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR maximum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.3410267Z [2022-11-23 01:56:37,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method maximum of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.3410743Z [2022-11-23 01:56:37,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method maximum of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.3411262Z [2022-11-23 01:56:37,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method maximum of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3411600Z [2022-11-23 01:56:37,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.3412185Z [2022-11-23 01:56:37,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR minimum [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.3412659Z [2022-11-23 01:56:37,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.3413160Z [2022-11-23 01:56:37,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.3413712Z [2022-11-23 01:56:37,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3414081Z [2022-11-23 01:56:37,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3414419Z [2022-11-23 01:56:37,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3414914Z [2022-11-23 01:56:37,269] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641158df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 682>
2022-11-23T02:04:39.3415245Z [2022-11-23 01:56:37,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3415545Z [2022-11-23 01:56:37,269] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3415892Z [2022-11-23 01:56:37,271] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.3416837Z [2022-11-23 01:56:37,277] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.3417312Z [2022-11-23 01:56:37,277] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3417637Z  __compiled_fn_238 <eval_with_key>.1905 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3417856Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.3418067Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.3418497Z call_function, maximum, <built-in method maximum of type object at 0x7fa5855aec60>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.3418810Z call_function, minimum, <built-in method minimum of type object at 0x7fa5855aec60>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.3418972Z output, output, output, ((maximum, minimum),), {}
2022-11-23T02:04:39.3418996Z 
2022-11-23T02:04:39.3419433Z [2022-11-23 01:56:37,278] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3419734Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.3419867Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3419995Z               4 BUILD_MAP                0
2022-11-23T02:04:39.3420135Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.3420266Z               8 DICT_MERGE               1
2022-11-23T02:04:39.3420375Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.3420494Z              12 RETURN_VALUE
2022-11-23T02:04:39.3420514Z 
2022-11-23T02:04:39.3420606Z  
2022-11-23T02:04:39.3421045Z [2022-11-23 01:56:37,278] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3421203Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_238)
2022-11-23T02:04:39.3421335Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3421472Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3421592Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.3421706Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3421833Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3421946Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.3422155Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.3422317Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.3422464Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3422594Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3422688Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.3422837Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3422964Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3423076Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.3423201Z              30 BUILD_TUPLE              2
2022-11-23T02:04:39.3423313Z              32 RETURN_VALUE
2022-11-23T02:04:39.3423333Z 
2022-11-23T02:04:39.3423431Z  
2022-11-23T02:04:39.3423669Z [2022-11-23 01:56:37,279] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3423778Z  - 
2022-11-23T02:04:39.3423946Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.3424045Z             {
2022-11-23T02:04:39.3424245Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.3424505Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.3424673Z                 'obj_weakref': None
2022-11-23T02:04:39.3424958Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.3425057Z             }
2022-11-23T02:04:39.3425154Z             
2022-11-23T02:04:39.3425261Z  - 
2022-11-23T02:04:39.3425436Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.3425533Z             {
2022-11-23T02:04:39.3425734Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3425867Z                 'code': None,
2022-11-23T02:04:39.3426168Z                 'obj_weakref': <weakref at 0x7fa53c3a93a0; to 'Tensor' at 0x7fa55016df30>
2022-11-23T02:04:39.3426509Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3426606Z             }
2022-11-23T02:04:39.3426707Z             
2022-11-23T02:04:39.3426813Z  - 
2022-11-23T02:04:39.3426988Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.3427066Z             {
2022-11-23T02:04:39.3427267Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3427424Z                 'code': None,
2022-11-23T02:04:39.3427707Z                 'obj_weakref': <weakref at 0x7fa532160860; to 'Tensor' at 0x7fa55016e020>
2022-11-23T02:04:39.3428046Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3428144Z             }
2022-11-23T02:04:39.3428238Z             
2022-11-23T02:04:39.3428325Z  - 
2022-11-23T02:04:39.3428583Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.3428679Z             {
2022-11-23T02:04:39.3428871Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3429105Z                 'code': ['___check_obj_id(model, 140347993303088)'],
2022-11-23T02:04:39.3429285Z                 'obj_weakref': None
2022-11-23T02:04:39.3429602Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.3429679Z             }
2022-11-23T02:04:39.3429775Z             
2022-11-23T02:04:39.3429882Z  - 
2022-11-23T02:04:39.3430060Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.3430157Z             {
2022-11-23T02:04:39.3430348Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.3430642Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.3430792Z                 'obj_weakref': None
2022-11-23T02:04:39.3431088Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.3431190Z             }
2022-11-23T02:04:39.3431288Z             
2022-11-23T02:04:39.3431393Z  - 
2022-11-23T02:04:39.3431582Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.3431683Z             {
2022-11-23T02:04:39.3431887Z                 'guard_types': None,
2022-11-23T02:04:39.3432049Z                 'code': None,
2022-11-23T02:04:39.3432214Z                 'obj_weakref': None
2022-11-23T02:04:39.3432385Z                 'guarded_class': None
2022-11-23T02:04:39.3432484Z             }
2022-11-23T02:04:39.3432580Z             
2022-11-23T02:04:39.3432939Z [2022-11-23 01:56:37,289] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 231
2022-11-23T02:04:39.3433404Z [2022-11-23 01:56:39,896] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4h/c4hpjl32r6bqp43ul65s5oorz6bfucdlwu5o4s6cyqxrkmjw4eqe.py
2022-11-23T02:04:39.3433780Z [2022-11-23 01:56:39,896] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 231
2022-11-23T02:04:39.3433796Z 
2022-11-23T02:04:39.3433934Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3434040Z import torch
2022-11-23T02:04:39.3434146Z import random
2022-11-23T02:04:39.3434314Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3434488Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3434508Z 
2022-11-23T02:04:39.3434624Z aten = torch.ops.aten
2022-11-23T02:04:39.3434793Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3434925Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3434945Z 
2022-11-23T02:04:39.3434964Z 
2022-11-23T02:04:39.3435155Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3435432Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3435600Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.3435747Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.3435893Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.3436028Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.3436102Z {
2022-11-23T02:04:39.3436246Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3436340Z     {
2022-11-23T02:04:39.3436455Z         #pragma omp for 
2022-11-23T02:04:39.3436576Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:39.3436672Z         {
2022-11-23T02:04:39.3436892Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.3437059Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.3437216Z             auto tmp2 = at::vec::maximum(tmp0, tmp1);
2022-11-23T02:04:39.3437371Z             auto tmp3 = at::vec::minimum(tmp0, tmp1);
2022-11-23T02:04:39.3437503Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.3437635Z             tmp3.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.3437819Z         }
2022-11-23T02:04:39.3437957Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.3438078Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T02:04:39.3438154Z         {
2022-11-23T02:04:39.3438277Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.3438405Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:39.3438551Z             auto tmp2 = std::max(tmp0, tmp1);
2022-11-23T02:04:39.3438691Z             auto tmp3 = std::min(tmp0, tmp1);
2022-11-23T02:04:39.3438810Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.3438925Z             out_ptr1[i0] = tmp3;
2022-11-23T02:04:39.3439001Z         }
2022-11-23T02:04:39.3439096Z     }
2022-11-23T02:04:39.3439188Z }
2022-11-23T02:04:39.3439315Z ''')
2022-11-23T02:04:39.3439337Z 
2022-11-23T02:04:39.3439355Z 
2022-11-23T02:04:39.3439486Z async_compile.wait(globals())
2022-11-23T02:04:39.3439597Z del async_compile
2022-11-23T02:04:39.3439617Z 
2022-11-23T02:04:39.3439727Z def call(args):
2022-11-23T02:04:39.3439849Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.3439944Z     args.clear()
2022-11-23T02:04:39.3440202Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3440514Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3440792Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.3440902Z     del arg0_1
2022-11-23T02:04:39.3441003Z     del arg1_1
2022-11-23T02:04:39.3441100Z     return (buf0, buf1, )
2022-11-23T02:04:39.3441120Z 
2022-11-23T02:04:39.3441157Z 
2022-11-23T02:04:39.3441250Z if __name__ == "__main__":
2022-11-23T02:04:39.3441416Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3441590Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3441859Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3442121Z     arg1_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3442291Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.3442310Z 
2022-11-23T02:04:39.3442411Z ok (2.641s)
2022-11-23T02:04:39.3442814Z   test_max_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:56:39,903] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3443257Z [2022-11-23 01:56:39,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.3443544Z [2022-11-23 01:56:39,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.3443889Z [2022-11-23 01:56:39,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.3444317Z [2022-11-23 01:56:39,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.3444748Z [2022-11-23 01:56:39,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3445168Z [2022-11-23 01:56:39,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3445602Z [2022-11-23 01:56:39,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3446103Z [2022-11-23 01:56:39,904] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb9210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1952> 
2022-11-23T02:04:39.3446244Z  1953           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.3446390Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T02:04:39.3446523Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.3446655Z                6 LOAD_CONST               1 (3)
2022-11-23T02:04:39.3446888Z                8 LOAD_CONST               1 (3)
2022-11-23T02:04:39.3447016Z               10 BUILD_LIST               2
2022-11-23T02:04:39.3447147Z               12 LOAD_CONST               2 (2)
2022-11-23T02:04:39.3447277Z               14 LOAD_CONST               2 (2)
2022-11-23T02:04:39.3447405Z               16 BUILD_LIST               2
2022-11-23T02:04:39.3447514Z               18 CALL_METHOD              3
2022-11-23T02:04:39.3447628Z               20 RETURN_VALUE
2022-11-23T02:04:39.3447721Z  
2022-11-23T02:04:39.3447741Z 
2022-11-23T02:04:39.3448169Z [2022-11-23 01:56:39,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1953
2022-11-23T02:04:39.3448465Z [2022-11-23 01:56:39,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.3448910Z [2022-11-23 01:56:39,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.3449290Z [2022-11-23 01:56:39,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T02:04:39.3449763Z [2022-11-23 01:56:39,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T02:04:39.3450228Z [2022-11-23 01:56:39,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3450719Z [2022-11-23 01:56:39,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3451177Z [2022-11-23 01:56:39,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.3451655Z [2022-11-23 01:56:39,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3452197Z [2022-11-23 01:56:39,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3452690Z [2022-11-23 01:56:39,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3453074Z [2022-11-23 01:56:39,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3453579Z [2022-11-23 01:56:39,916] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb9210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1952>
2022-11-23T02:04:39.3453918Z [2022-11-23 01:56:39,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3454239Z [2022-11-23 01:56:39,916] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3454584Z [2022-11-23 01:56:39,918] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.3454954Z [2022-11-23 01:56:39,926] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.3455161Z [2022-11-23 01:56:39,926] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3455353Z  __compiled_fn_239 <eval_with_key>.1911 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3455485Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.3455705Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T02:04:39.3456004Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T02:04:39.3457175Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T02:04:39.3457425Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T02:04:39.3457425Z 
2022-11-23T02:04:39.3458009Z [2022-11-23 01:56:39,927] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3458148Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.3458264Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3458389Z               4 BUILD_MAP                0
2022-11-23T02:04:39.3458525Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.3458650Z               8 DICT_MERGE               1
2022-11-23T02:04:39.3458778Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.3458889Z              12 RETURN_VALUE
2022-11-23T02:04:39.3458909Z 
2022-11-23T02:04:39.3459006Z  
2022-11-23T02:04:39.3459426Z [2022-11-23 01:56:39,927] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3459674Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_239)
2022-11-23T02:04:39.3459814Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3459947Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3460061Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.3460188Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.3460338Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.3460485Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3460598Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3460709Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.3460856Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3460985Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3461102Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.3461232Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.3461343Z              26 RETURN_VALUE
2022-11-23T02:04:39.3461363Z 
2022-11-23T02:04:39.3461437Z  
2022-11-23T02:04:39.3461697Z [2022-11-23 01:56:39,928] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3461806Z  - 
2022-11-23T02:04:39.3461974Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.3462072Z             {
2022-11-23T02:04:39.3462268Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.3462529Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.3462679Z                 'obj_weakref': None
2022-11-23T02:04:39.3462988Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.3463084Z             }
2022-11-23T02:04:39.3463180Z             
2022-11-23T02:04:39.3463289Z  - 
2022-11-23T02:04:39.3463469Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.3463566Z             {
2022-11-23T02:04:39.3463746Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3463895Z                 'code': None,
2022-11-23T02:04:39.3464188Z                 'obj_weakref': <weakref at 0x7fa531eb34c0; to 'Tensor' at 0x7fa53c4a9170>
2022-11-23T02:04:39.3464528Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3464629Z             }
2022-11-23T02:04:39.3464723Z             
2022-11-23T02:04:39.3464829Z  - 
2022-11-23T02:04:39.3464992Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.3465089Z             {
2022-11-23T02:04:39.3465278Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3465515Z                 'code': ['___check_obj_id(model, 140347657454064)'],
2022-11-23T02:04:39.3465684Z                 'obj_weakref': None
2022-11-23T02:04:39.3465996Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.3466151Z             }
2022-11-23T02:04:39.3466227Z             
2022-11-23T02:04:39.3466336Z  - 
2022-11-23T02:04:39.3466510Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.3466609Z             {
2022-11-23T02:04:39.3466803Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.3467099Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.3467269Z                 'obj_weakref': None
2022-11-23T02:04:39.3467550Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.3467648Z             }
2022-11-23T02:04:39.3467743Z             
2022-11-23T02:04:39.3467849Z  - 
2022-11-23T02:04:39.3468032Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.3468129Z             {
2022-11-23T02:04:39.3468296Z                 'guard_types': None,
2022-11-23T02:04:39.3468434Z                 'code': None,
2022-11-23T02:04:39.3468598Z                 'obj_weakref': None
2022-11-23T02:04:39.3468767Z                 'guarded_class': None
2022-11-23T02:04:39.3468868Z             }
2022-11-23T02:04:39.3468964Z             
2022-11-23T02:04:39.3469374Z [2022-11-23 01:56:39,937] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 232
2022-11-23T02:04:39.3469874Z [2022-11-23 01:56:42,716] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vz/cvz2oaz4okismugozoffyzczjgyieaze7o5scem33igliyqkgzpj.py
2022-11-23T02:04:39.3470215Z [2022-11-23 01:56:42,716] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 232
2022-11-23T02:04:39.3470255Z 
2022-11-23T02:04:39.3470373Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3470477Z import torch
2022-11-23T02:04:39.3470581Z import random
2022-11-23T02:04:39.3470749Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3470926Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3470947Z 
2022-11-23T02:04:39.3471064Z aten = torch.ops.aten
2022-11-23T02:04:39.3471252Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3471368Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3471391Z 
2022-11-23T02:04:39.3471410Z 
2022-11-23T02:04:39.3471603Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3471883Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3472055Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.3472200Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.3472339Z                        long* __restrict__ out_ptr1)
2022-11-23T02:04:39.3472433Z {
2022-11-23T02:04:39.3472574Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3472650Z     {
2022-11-23T02:04:39.3472765Z         #pragma omp for 
2022-11-23T02:04:39.3472953Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.3473054Z         {
2022-11-23T02:04:39.3473174Z             #pragma GCC ivdep
2022-11-23T02:04:39.3473298Z             for(long i1=0; i1<7; i1+=1)
2022-11-23T02:04:39.3473375Z             {
2022-11-23T02:04:39.3473497Z                 #pragma GCC ivdep
2022-11-23T02:04:39.3473631Z                 for(long i2=0; i2<7; i2+=1)
2022-11-23T02:04:39.3473731Z                 {
2022-11-23T02:04:39.3473832Z                     {
2022-11-23T02:04:39.3473934Z                         {
2022-11-23T02:04:39.3474094Z                             auto tmp0 = in_ptr0[(2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:39.3474240Z                             auto tmp2 = in_ptr0[1 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:39.3474401Z                             auto tmp7 = in_ptr0[2 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:39.3474567Z                             auto tmp12 = in_ptr0[16 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:39.3474726Z                             auto tmp17 = in_ptr0[17 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:39.3474946Z                             auto tmp22 = in_ptr0[18 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:39.3475101Z                             auto tmp27 = in_ptr0[32 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:39.3475258Z                             auto tmp32 = in_ptr0[33 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:39.3475410Z                             auto tmp37 = in_ptr0[34 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T02:04:39.3475556Z                             auto tmp1 = static_cast<long>((2*i2) + (32*i1));
2022-11-23T02:04:39.3475724Z                             auto tmp3 = static_cast<long>(1 + (2*i2) + (32*i1));
2022-11-23T02:04:39.3475863Z                             auto tmp4 = tmp2 > tmp0;
2022-11-23T02:04:39.3476010Z                             auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T02:04:39.3476196Z                             auto tmp6 = std::max(tmp2, tmp0);
2022-11-23T02:04:39.3476366Z                             auto tmp8 = static_cast<long>(2 + (2*i2) + (32*i1));
2022-11-23T02:04:39.3476510Z                             auto tmp9 = tmp7 > tmp6;
2022-11-23T02:04:39.3476658Z                             auto tmp10 = tmp9 ? tmp8 : tmp5;
2022-11-23T02:04:39.3476847Z                             auto tmp11 = std::max(tmp7, tmp6);
2022-11-23T02:04:39.3477023Z                             auto tmp13 = static_cast<long>(16 + (2*i2) + (32*i1));
2022-11-23T02:04:39.3477166Z                             auto tmp14 = tmp12 > tmp11;
2022-11-23T02:04:39.3477317Z                             auto tmp15 = tmp14 ? tmp13 : tmp10;
2022-11-23T02:04:39.3477476Z                             auto tmp16 = std::max(tmp12, tmp11);
2022-11-23T02:04:39.3477647Z                             auto tmp18 = static_cast<long>(17 + (2*i2) + (32*i1));
2022-11-23T02:04:39.3477787Z                             auto tmp19 = tmp17 > tmp16;
2022-11-23T02:04:39.3477940Z                             auto tmp20 = tmp19 ? tmp18 : tmp15;
2022-11-23T02:04:39.3478086Z                             auto tmp21 = std::max(tmp17, tmp16);
2022-11-23T02:04:39.3478253Z                             auto tmp23 = static_cast<long>(18 + (2*i2) + (32*i1));
2022-11-23T02:04:39.3478392Z                             auto tmp24 = tmp22 > tmp21;
2022-11-23T02:04:39.3478544Z                             auto tmp25 = tmp24 ? tmp23 : tmp20;
2022-11-23T02:04:39.3478704Z                             auto tmp26 = std::max(tmp22, tmp21);
2022-11-23T02:04:39.3478872Z                             auto tmp28 = static_cast<long>(32 + (2*i2) + (32*i1));
2022-11-23T02:04:39.3479012Z                             auto tmp29 = tmp27 > tmp26;
2022-11-23T02:04:39.3479162Z                             auto tmp30 = tmp29 ? tmp28 : tmp25;
2022-11-23T02:04:39.3479301Z                             auto tmp31 = std::max(tmp27, tmp26);
2022-11-23T02:04:39.3479470Z                             auto tmp33 = static_cast<long>(33 + (2*i2) + (32*i1));
2022-11-23T02:04:39.3479609Z                             auto tmp34 = tmp32 > tmp31;
2022-11-23T02:04:39.3479763Z                             auto tmp35 = tmp34 ? tmp33 : tmp30;
2022-11-23T02:04:39.3479921Z                             auto tmp36 = std::max(tmp32, tmp31);
2022-11-23T02:04:39.3480090Z                             auto tmp38 = static_cast<long>(34 + (2*i2) + (32*i1));
2022-11-23T02:04:39.3480233Z                             auto tmp39 = tmp37 > tmp36;
2022-11-23T02:04:39.3480384Z                             auto tmp40 = tmp39 ? tmp38 : tmp35;
2022-11-23T02:04:39.3480522Z                             auto tmp41 = std::max(tmp37, tmp36);
2022-11-23T02:04:39.3480675Z                             out_ptr0[i2 + (7*i1) + (49*i0)] = tmp41;
2022-11-23T02:04:39.3480822Z                             out_ptr1[i2 + (7*i1) + (49*i0)] = tmp40;
2022-11-23T02:04:39.3480927Z                         }
2022-11-23T02:04:39.3481025Z                     }
2022-11-23T02:04:39.3481123Z                 }
2022-11-23T02:04:39.3481219Z             }
2022-11-23T02:04:39.3481296Z         }
2022-11-23T02:04:39.3481530Z     }
2022-11-23T02:04:39.3481624Z }
2022-11-23T02:04:39.3481776Z ''')
2022-11-23T02:04:39.3481796Z 
2022-11-23T02:04:39.3481814Z 
2022-11-23T02:04:39.3481949Z async_compile.wait(globals())
2022-11-23T02:04:39.3482059Z del async_compile
2022-11-23T02:04:39.3482078Z 
2022-11-23T02:04:39.3482187Z def call(args):
2022-11-23T02:04:39.3482275Z     arg0_1, = args
2022-11-23T02:04:39.3482384Z     args.clear()
2022-11-23T02:04:39.3482685Z     buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3482973Z     buf1 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.3483206Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.3483313Z     del arg0_1
2022-11-23T02:04:39.3483430Z     return (buf0, buf1, )
2022-11-23T02:04:39.3483449Z 
2022-11-23T02:04:39.3483467Z 
2022-11-23T02:04:39.3483581Z if __name__ == "__main__":
2022-11-23T02:04:39.3483733Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3483905Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3484208Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3484427Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.3484448Z 
2022-11-23T02:04:39.3484554Z ok (2.820s)
2022-11-23T02:04:39.3485056Z   test_max_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:56:42,753] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3485484Z [2022-11-23 01:56:42,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.3485777Z [2022-11-23 01:56:42,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.3486122Z [2022-11-23 01:56:42,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.3486489Z [2022-11-23 01:56:42,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.3486922Z [2022-11-23 01:56:42,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3487395Z [2022-11-23 01:56:42,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3487826Z [2022-11-23 01:56:42,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3488329Z [2022-11-23 01:56:42,754] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb9370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1961> 
2022-11-23T02:04:39.3488470Z  1962           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.3488641Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T02:04:39.3488773Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.3488904Z                6 LOAD_CONST               1 (3)
2022-11-23T02:04:39.3489019Z                8 LOAD_CONST               1 (3)
2022-11-23T02:04:39.3489150Z               10 BUILD_LIST               2
2022-11-23T02:04:39.3489282Z               12 LOAD_CONST               2 (2)
2022-11-23T02:04:39.3489411Z               14 LOAD_CONST               2 (2)
2022-11-23T02:04:39.3489535Z               16 BUILD_LIST               2
2022-11-23T02:04:39.3489665Z               18 CALL_METHOD              3
2022-11-23T02:04:39.3489780Z               20 RETURN_VALUE
2022-11-23T02:04:39.3489855Z  
2022-11-23T02:04:39.3489874Z 
2022-11-23T02:04:39.3490303Z [2022-11-23 01:56:42,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1962
2022-11-23T02:04:39.3490669Z [2022-11-23 01:56:42,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.3491115Z [2022-11-23 01:56:42,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.3491493Z [2022-11-23 01:56:42,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T02:04:39.3491913Z [2022-11-23 01:56:42,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T02:04:39.3492366Z [2022-11-23 01:56:42,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3492876Z [2022-11-23 01:56:42,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3493326Z [2022-11-23 01:56:42,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.3493869Z [2022-11-23 01:56:42,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3494417Z [2022-11-23 01:56:42,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3494898Z [2022-11-23 01:56:42,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3495217Z [2022-11-23 01:56:42,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3495732Z [2022-11-23 01:56:42,766] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb9370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1961>
2022-11-23T02:04:39.3496453Z [2022-11-23 01:56:42,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3497045Z [2022-11-23 01:56:42,767] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3497661Z [2022-11-23 01:56:42,769] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.3498258Z [2022-11-23 01:56:42,773] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.3498548Z [2022-11-23 01:56:42,774] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3498740Z  __compiled_fn_240 <eval_with_key>.1917 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3498878Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.3499080Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T02:04:39.3499378Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T02:04:39.3499684Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T02:04:39.3499849Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T02:04:39.3499869Z 
2022-11-23T02:04:39.3500307Z [2022-11-23 01:56:42,775] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3500444Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.3500576Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3500703Z               4 BUILD_MAP                0
2022-11-23T02:04:39.3500820Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.3501114Z               8 DICT_MERGE               1
2022-11-23T02:04:39.3501245Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.3501359Z              12 RETURN_VALUE
2022-11-23T02:04:39.3501379Z 
2022-11-23T02:04:39.3501473Z  
2022-11-23T02:04:39.3501911Z [2022-11-23 01:56:42,775] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3502070Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_240)
2022-11-23T02:04:39.3502202Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3502314Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3502431Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.3502555Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.3502704Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.3502849Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3502979Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3503098Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.3503223Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3503357Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3503541Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.3503679Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.3503791Z              26 RETURN_VALUE
2022-11-23T02:04:39.3503811Z 
2022-11-23T02:04:39.3503903Z  
2022-11-23T02:04:39.3504166Z [2022-11-23 01:56:42,776] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3504254Z  - 
2022-11-23T02:04:39.3504425Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.3504526Z             {
2022-11-23T02:04:39.3504725Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.3504984Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.3505156Z                 'obj_weakref': None
2022-11-23T02:04:39.3505464Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.3505544Z             }
2022-11-23T02:04:39.3505640Z             
2022-11-23T02:04:39.3505747Z  - 
2022-11-23T02:04:39.3505926Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.3506024Z             {
2022-11-23T02:04:39.3506221Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3506380Z                 'code': None,
2022-11-23T02:04:39.3506653Z                 'obj_weakref': <weakref at 0x7fa531eb0ea0; to 'Tensor' at 0x7fa550523290>
2022-11-23T02:04:39.3506994Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3507093Z             }
2022-11-23T02:04:39.3507189Z             
2022-11-23T02:04:39.3507296Z  - 
2022-11-23T02:04:39.3507482Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.3507578Z             {
2022-11-23T02:04:39.3507750Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3507990Z                 'code': ['___check_obj_id(model, 140347993302512)'],
2022-11-23T02:04:39.3508160Z                 'obj_weakref': None
2022-11-23T02:04:39.3508473Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.3508571Z             }
2022-11-23T02:04:39.3508668Z             
2022-11-23T02:04:39.3508775Z  - 
2022-11-23T02:04:39.3508928Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.3509022Z             {
2022-11-23T02:04:39.3509215Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.3509509Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.3509680Z                 'obj_weakref': None
2022-11-23T02:04:39.3509981Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.3510077Z             }
2022-11-23T02:04:39.3510152Z             
2022-11-23T02:04:39.3510365Z  - 
2022-11-23T02:04:39.3510550Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.3510647Z             {
2022-11-23T02:04:39.3510817Z                 'guard_types': None,
2022-11-23T02:04:39.3510967Z                 'code': None,
2022-11-23T02:04:39.3511138Z                 'obj_weakref': None
2022-11-23T02:04:39.3511292Z                 'guarded_class': None
2022-11-23T02:04:39.3511388Z             }
2022-11-23T02:04:39.3511484Z             
2022-11-23T02:04:39.3511846Z [2022-11-23 01:56:42,785] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 233
2022-11-23T02:04:39.3512341Z [2022-11-23 01:56:45,621] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qa/cqa4zjjdvbtglq2jvpddjqescsca337byoquob3ysyabcfh4e2ez.py
2022-11-23T02:04:39.3512698Z [2022-11-23 01:56:45,621] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 233
2022-11-23T02:04:39.3512718Z 
2022-11-23T02:04:39.3512855Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3512966Z import torch
2022-11-23T02:04:39.3513051Z import random
2022-11-23T02:04:39.3513216Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3513385Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3513456Z 
2022-11-23T02:04:39.3513579Z aten = torch.ops.aten
2022-11-23T02:04:39.3513767Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3513900Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3513920Z 
2022-11-23T02:04:39.3513939Z 
2022-11-23T02:04:39.3514130Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3514409Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3514559Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.3514706Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.3514843Z                        long* __restrict__ out_ptr1)
2022-11-23T02:04:39.3514940Z {
2022-11-23T02:04:39.3515083Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3515175Z     {
2022-11-23T02:04:39.3515290Z         #pragma omp for 
2022-11-23T02:04:39.3515393Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T02:04:39.3515489Z         {
2022-11-23T02:04:39.3515608Z             #pragma GCC ivdep
2022-11-23T02:04:39.3515733Z             for(long i1=0; i1<27; i1+=1)
2022-11-23T02:04:39.3515835Z             {
2022-11-23T02:04:39.3515957Z                 #pragma GCC ivdep
2022-11-23T02:04:39.3516085Z                 for(long i2=0; i2<27; i2+=1)
2022-11-23T02:04:39.3516169Z                 {
2022-11-23T02:04:39.3516270Z                     {
2022-11-23T02:04:39.3516375Z                         {
2022-11-23T02:04:39.3516540Z                             auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:39.3516706Z                             auto tmp2 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:39.3516865Z                             auto tmp7 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:39.3517032Z                             auto tmp12 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:39.3517171Z                             auto tmp17 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:39.3517332Z                             auto tmp22 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:39.3517496Z                             auto tmp27 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:39.3517663Z                             auto tmp32 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:39.3517827Z                             auto tmp37 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T02:04:39.3517993Z                             auto tmp1 = static_cast<long>((2*i2) + (110*i1));
2022-11-23T02:04:39.3518158Z                             auto tmp3 = static_cast<long>(1 + (2*i2) + (110*i1));
2022-11-23T02:04:39.3518300Z                             auto tmp4 = tmp2 > tmp0;
2022-11-23T02:04:39.3518497Z                             auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T02:04:39.3518689Z                             auto tmp6 = std::max(tmp2, tmp0);
2022-11-23T02:04:39.3518860Z                             auto tmp8 = static_cast<long>(2 + (2*i2) + (110*i1));
2022-11-23T02:04:39.3519002Z                             auto tmp9 = tmp7 > tmp6;
2022-11-23T02:04:39.3519152Z                             auto tmp10 = tmp9 ? tmp8 : tmp5;
2022-11-23T02:04:39.3519310Z                             auto tmp11 = std::max(tmp7, tmp6);
2022-11-23T02:04:39.3519479Z                             auto tmp13 = static_cast<long>(55 + (2*i2) + (110*i1));
2022-11-23T02:04:39.3519623Z                             auto tmp14 = tmp12 > tmp11;
2022-11-23T02:04:39.3519756Z                             auto tmp15 = tmp14 ? tmp13 : tmp10;
2022-11-23T02:04:39.3519918Z                             auto tmp16 = std::max(tmp12, tmp11);
2022-11-23T02:04:39.3520086Z                             auto tmp18 = static_cast<long>(56 + (2*i2) + (110*i1));
2022-11-23T02:04:39.3520229Z                             auto tmp19 = tmp17 > tmp16;
2022-11-23T02:04:39.3520379Z                             auto tmp20 = tmp19 ? tmp18 : tmp15;
2022-11-23T02:04:39.3520584Z                             auto tmp21 = std::max(tmp17, tmp16);
2022-11-23T02:04:39.3520764Z                             auto tmp23 = static_cast<long>(57 + (2*i2) + (110*i1));
2022-11-23T02:04:39.3520908Z                             auto tmp24 = tmp22 > tmp21;
2022-11-23T02:04:39.3521039Z                             auto tmp25 = tmp24 ? tmp23 : tmp20;
2022-11-23T02:04:39.3521200Z                             auto tmp26 = std::max(tmp22, tmp21);
2022-11-23T02:04:39.3521372Z                             auto tmp28 = static_cast<long>(110 + (2*i2) + (110*i1));
2022-11-23T02:04:39.3521514Z                             auto tmp29 = tmp27 > tmp26;
2022-11-23T02:04:39.3521665Z                             auto tmp30 = tmp29 ? tmp28 : tmp25;
2022-11-23T02:04:39.3521827Z                             auto tmp31 = std::max(tmp27, tmp26);
2022-11-23T02:04:39.3521999Z                             auto tmp33 = static_cast<long>(111 + (2*i2) + (110*i1));
2022-11-23T02:04:39.3522142Z                             auto tmp34 = tmp32 > tmp31;
2022-11-23T02:04:39.3522276Z                             auto tmp35 = tmp34 ? tmp33 : tmp30;
2022-11-23T02:04:39.3522434Z                             auto tmp36 = std::max(tmp32, tmp31);
2022-11-23T02:04:39.3522602Z                             auto tmp38 = static_cast<long>(112 + (2*i2) + (110*i1));
2022-11-23T02:04:39.3522739Z                             auto tmp39 = tmp37 > tmp36;
2022-11-23T02:04:39.3522889Z                             auto tmp40 = tmp39 ? tmp38 : tmp35;
2022-11-23T02:04:39.3523046Z                             auto tmp41 = std::max(tmp37, tmp36);
2022-11-23T02:04:39.3523200Z                             out_ptr0[i2 + (27*i1) + (729*i0)] = tmp41;
2022-11-23T02:04:39.3523347Z                             out_ptr1[i2 + (27*i1) + (729*i0)] = tmp40;
2022-11-23T02:04:39.3523436Z                         }
2022-11-23T02:04:39.3523538Z                     }
2022-11-23T02:04:39.3523637Z                 }
2022-11-23T02:04:39.3523733Z             }
2022-11-23T02:04:39.3523828Z         }
2022-11-23T02:04:39.3523919Z     }
2022-11-23T02:04:39.3523995Z }
2022-11-23T02:04:39.3524135Z ''')
2022-11-23T02:04:39.3524160Z 
2022-11-23T02:04:39.3524178Z 
2022-11-23T02:04:39.3524313Z async_compile.wait(globals())
2022-11-23T02:04:39.3524422Z del async_compile
2022-11-23T02:04:39.3524441Z 
2022-11-23T02:04:39.3524548Z def call(args):
2022-11-23T02:04:39.3524656Z     arg0_1, = args
2022-11-23T02:04:39.3524763Z     args.clear()
2022-11-23T02:04:39.3525076Z     buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3525356Z     buf1 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.3525584Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.3525751Z     del arg0_1
2022-11-23T02:04:39.3525866Z     return (buf0, buf1, )
2022-11-23T02:04:39.3525885Z 
2022-11-23T02:04:39.3525903Z 
2022-11-23T02:04:39.3526018Z if __name__ == "__main__":
2022-11-23T02:04:39.3526186Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3526362Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3526675Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3526812Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.3526832Z 
2022-11-23T02:04:39.3526934Z ok (2.910s)
2022-11-23T02:04:39.3527353Z   test_max_pool2d3_cpu (__main__.CpuTests) ... [2022-11-23 01:56:45,634] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3527774Z [2022-11-23 01:56:45,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.3528078Z [2022-11-23 01:56:45,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.3528420Z [2022-11-23 01:56:45,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.3528851Z [2022-11-23 01:56:45,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.3529290Z [2022-11-23 01:56:45,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3529755Z [2022-11-23 01:56:45,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3530190Z [2022-11-23 01:56:45,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3530677Z [2022-11-23 01:56:45,635] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb94d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1970> 
2022-11-23T02:04:39.3530819Z  1972           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.3530987Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T02:04:39.3531120Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.3531252Z                6 LOAD_CONST               1 (3)
2022-11-23T02:04:39.3531381Z                8 LOAD_CONST               1 (3)
2022-11-23T02:04:39.3531511Z               10 BUILD_LIST               2
2022-11-23T02:04:39.3531639Z               12 LOAD_CONST               2 (2)
2022-11-23T02:04:39.3531748Z               14 LOAD_CONST               2 (2)
2022-11-23T02:04:39.3531875Z               16 BUILD_LIST               2
2022-11-23T02:04:39.3532002Z               18 LOAD_CONST               3 (1)
2022-11-23T02:04:39.3532133Z               20 LOAD_CONST               3 (1)
2022-11-23T02:04:39.3532260Z               22 BUILD_LIST               2
2022-11-23T02:04:39.3532384Z               24 CALL_METHOD              4
2022-11-23T02:04:39.3532497Z               26 RETURN_VALUE
2022-11-23T02:04:39.3532570Z  
2022-11-23T02:04:39.3532593Z 
2022-11-23T02:04:39.3533022Z [2022-11-23 01:56:45,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1972
2022-11-23T02:04:39.3533321Z [2022-11-23 01:56:45,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.3533770Z [2022-11-23 01:56:45,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.3534143Z [2022-11-23 01:56:45,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T02:04:39.3534559Z [2022-11-23 01:56:45,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T02:04:39.3535162Z [2022-11-23 01:56:45,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3535671Z [2022-11-23 01:56:45,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3536542Z [2022-11-23 01:56:45,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.3537438Z [2022-11-23 01:56:45,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3538341Z [2022-11-23 01:56:45,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3538946Z [2022-11-23 01:56:45,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3539480Z [2022-11-23 01:56:45,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3540046Z [2022-11-23 01:56:45,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3540555Z [2022-11-23 01:56:45,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3540891Z [2022-11-23 01:56:45,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3541399Z [2022-11-23 01:56:45,647] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb94d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1970>
2022-11-23T02:04:39.3541739Z [2022-11-23 01:56:45,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3542059Z [2022-11-23 01:56:45,648] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3542401Z [2022-11-23 01:56:45,650] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.3542739Z [2022-11-23 01:56:45,655] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.3543001Z [2022-11-23 01:56:45,655] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3543171Z  __compiled_fn_241 <eval_with_key>.1923 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3543306Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.3543529Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2], [1, 1]), {}
2022-11-23T02:04:39.3543831Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T02:04:39.3544130Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T02:04:39.3544293Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T02:04:39.3544314Z 
2022-11-23T02:04:39.3544751Z [2022-11-23 01:56:45,656] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3544888Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.3545017Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3545228Z               4 BUILD_MAP                0
2022-11-23T02:04:39.3545363Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.3545487Z               8 DICT_MERGE               1
2022-11-23T02:04:39.3545619Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.3545733Z              12 RETURN_VALUE
2022-11-23T02:04:39.3545752Z 
2022-11-23T02:04:39.3545844Z  
2022-11-23T02:04:39.3546280Z [2022-11-23 01:56:45,656] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3546418Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_241)
2022-11-23T02:04:39.3546553Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3546685Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3546798Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.3546925Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.3547078Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.3547225Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3547336Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3547501Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.3547660Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3547788Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3547900Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.3548026Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.3548134Z              26 RETURN_VALUE
2022-11-23T02:04:39.3548154Z 
2022-11-23T02:04:39.3548245Z  
2022-11-23T02:04:39.3548484Z [2022-11-23 01:56:45,657] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3548590Z  - 
2022-11-23T02:04:39.3548757Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.3548855Z             {
2022-11-23T02:04:39.3549053Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.3549313Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.3549482Z                 'obj_weakref': None
2022-11-23T02:04:39.3549773Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.3549874Z             }
2022-11-23T02:04:39.3549971Z             
2022-11-23T02:04:39.3550076Z  - 
2022-11-23T02:04:39.3550254Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.3550349Z             {
2022-11-23T02:04:39.3550549Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3550684Z                 'code': None,
2022-11-23T02:04:39.3550975Z                 'obj_weakref': <weakref at 0x7fa531ef5b70; to 'Tensor' at 0x7fa5503b8b30>
2022-11-23T02:04:39.3551374Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3551470Z             }
2022-11-23T02:04:39.3551568Z             
2022-11-23T02:04:39.3551675Z  - 
2022-11-23T02:04:39.3551859Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.3551937Z             {
2022-11-23T02:04:39.3552122Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3552361Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.3552536Z                 'obj_weakref': None
2022-11-23T02:04:39.3552853Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.3552949Z             }
2022-11-23T02:04:39.3553044Z             
2022-11-23T02:04:39.3553132Z  - 
2022-11-23T02:04:39.3553302Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.3553396Z             {
2022-11-23T02:04:39.3553586Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.3553877Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.3554044Z                 'obj_weakref': None
2022-11-23T02:04:39.3554415Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.3554491Z             }
2022-11-23T02:04:39.3554586Z             
2022-11-23T02:04:39.3554690Z  - 
2022-11-23T02:04:39.3554879Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.3554976Z             {
2022-11-23T02:04:39.3555147Z                 'guard_types': None,
2022-11-23T02:04:39.3555287Z                 'code': None,
2022-11-23T02:04:39.3555453Z                 'obj_weakref': None
2022-11-23T02:04:39.3555619Z                 'guarded_class': None
2022-11-23T02:04:39.3555714Z             }
2022-11-23T02:04:39.3555810Z             
2022-11-23T02:04:39.3556160Z [2022-11-23 01:56:45,667] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 234
2022-11-23T02:04:39.3556181Z 
2022-11-23T02:04:39.3556317Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3556425Z import torch
2022-11-23T02:04:39.3556510Z import random
2022-11-23T02:04:39.3556681Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3556853Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3556873Z 
2022-11-23T02:04:39.3556990Z aten = torch.ops.aten
2022-11-23T02:04:39.3557232Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3557374Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3557395Z 
2022-11-23T02:04:39.3557414Z 
2022-11-23T02:04:39.3557607Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3557887Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3558038Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.3558180Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.3558322Z                        long* __restrict__ out_ptr1)
2022-11-23T02:04:39.3558419Z {
2022-11-23T02:04:39.3558559Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3558650Z     {
2022-11-23T02:04:39.3558769Z         #pragma omp for 
2022-11-23T02:04:39.3558871Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.3558966Z         {
2022-11-23T02:04:39.3559086Z             #pragma GCC ivdep
2022-11-23T02:04:39.3559205Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.3559303Z             {
2022-11-23T02:04:39.3559404Z                 {
2022-11-23T02:04:39.3559485Z                     {
2022-11-23T02:04:39.3559728Z                         auto tmp0 = static_cast<long>((-1) + (2*i0));
2022-11-23T02:04:39.3559878Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T02:04:39.3560021Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T02:04:39.3560166Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T02:04:39.3560302Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T02:04:39.3560441Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T02:04:39.3560677Z                         auto tmp6 = static_cast<long>((-1) + (2*i1));
2022-11-23T02:04:39.3560803Z                         auto tmp7 = tmp6 >= tmp1;
2022-11-23T02:04:39.3560936Z                         auto tmp8 = tmp6 < tmp3;
2022-11-23T02:04:39.3561070Z                         auto tmp9 = tmp7 & tmp8;
2022-11-23T02:04:39.3561210Z                         auto tmp10 = tmp5 & tmp9;
2022-11-23T02:04:39.3561578Z                         float tmp11 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3561696Z                         if(tmp10)
2022-11-23T02:04:39.3561800Z                         {
2022-11-23T02:04:39.3562026Z                             auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T02:04:39.3562157Z                             tmp11 = tmp12;
2022-11-23T02:04:39.3562261Z                         }
2022-11-23T02:04:39.3562516Z                         auto tmp13 = static_cast<long>((-9) + (2*i1) + (16*i0));
2022-11-23T02:04:39.3562672Z                         auto tmp14 = static_cast<long>(2*i1);
2022-11-23T02:04:39.3562810Z                         auto tmp15 = tmp14 >= tmp1;
2022-11-23T02:04:39.3563022Z                         auto tmp16 = tmp14 < tmp3;
2022-11-23T02:04:39.3563137Z                         auto tmp17 = tmp15 & tmp16;
2022-11-23T02:04:39.3563277Z                         auto tmp18 = tmp5 & tmp17;
2022-11-23T02:04:39.3563582Z                         float tmp19 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3563697Z                         if(tmp18)
2022-11-23T02:04:39.3563799Z                         {
2022-11-23T02:04:39.3564044Z                             auto tmp20 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T02:04:39.3564171Z                             tmp19 = tmp20;
2022-11-23T02:04:39.3564278Z                         }
2022-11-23T02:04:39.3564513Z                         auto tmp21 = static_cast<long>((-8) + (2*i1) + (16*i0));
2022-11-23T02:04:39.3564652Z                         auto tmp22 = tmp19 > tmp11;
2022-11-23T02:04:39.3564804Z                         auto tmp23 = tmp22 ? tmp21 : tmp13;
2022-11-23T02:04:39.3564967Z                         auto tmp24 = std::max(tmp19, tmp11);
2022-11-23T02:04:39.3565127Z                         auto tmp25 = static_cast<long>(1 + (2*i1));
2022-11-23T02:04:39.3565264Z                         auto tmp26 = tmp25 >= tmp1;
2022-11-23T02:04:39.3565455Z                         auto tmp27 = tmp25 < tmp3;
2022-11-23T02:04:39.3565578Z                         auto tmp28 = tmp26 & tmp27;
2022-11-23T02:04:39.3565712Z                         auto tmp29 = tmp5 & tmp28;
2022-11-23T02:04:39.3566015Z                         float tmp30 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3566130Z                         if(tmp29)
2022-11-23T02:04:39.3566235Z                         {
2022-11-23T02:04:39.3566477Z                             auto tmp31 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T02:04:39.3566601Z                             tmp30 = tmp31;
2022-11-23T02:04:39.3566704Z                         }
2022-11-23T02:04:39.3566938Z                         auto tmp32 = static_cast<long>((-7) + (2*i1) + (16*i0));
2022-11-23T02:04:39.3567087Z                         auto tmp33 = tmp30 > tmp24;
2022-11-23T02:04:39.3567235Z                         auto tmp34 = tmp33 ? tmp32 : tmp23;
2022-11-23T02:04:39.3567398Z                         auto tmp35 = std::max(tmp30, tmp24);
2022-11-23T02:04:39.3567552Z                         auto tmp36 = static_cast<long>(2*i0);
2022-11-23T02:04:39.3567689Z                         auto tmp37 = tmp36 >= tmp1;
2022-11-23T02:04:39.3567823Z                         auto tmp38 = tmp36 < tmp3;
2022-11-23T02:04:39.3567938Z                         auto tmp39 = tmp37 & tmp38;
2022-11-23T02:04:39.3568071Z                         auto tmp40 = tmp39 & tmp9;
2022-11-23T02:04:39.3568369Z                         float tmp41 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3568481Z                         if(tmp40)
2022-11-23T02:04:39.3568583Z                         {
2022-11-23T02:04:39.3568821Z                             auto tmp42 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T02:04:39.3568949Z                             tmp41 = tmp42;
2022-11-23T02:04:39.3569050Z                         }
2022-11-23T02:04:39.3569282Z                         auto tmp43 = static_cast<long>((-1) + (2*i1) + (16*i0));
2022-11-23T02:04:39.3569422Z                         auto tmp44 = tmp41 > tmp35;
2022-11-23T02:04:39.3569571Z                         auto tmp45 = tmp44 ? tmp43 : tmp34;
2022-11-23T02:04:39.3569730Z                         auto tmp46 = std::max(tmp41, tmp35);
2022-11-23T02:04:39.3569864Z                         auto tmp47 = tmp39 & tmp17;
2022-11-23T02:04:39.3570165Z                         float tmp48 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3570281Z                         if(tmp47)
2022-11-23T02:04:39.3570363Z                         {
2022-11-23T02:04:39.3570515Z                             auto tmp49 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T02:04:39.3570637Z                             tmp48 = tmp49;
2022-11-23T02:04:39.3570834Z                         }
2022-11-23T02:04:39.3571000Z                         auto tmp50 = static_cast<long>((2*i1) + (16*i0));
2022-11-23T02:04:39.3571139Z                         auto tmp51 = tmp48 > tmp46;
2022-11-23T02:04:39.3571286Z                         auto tmp52 = tmp51 ? tmp50 : tmp45;
2022-11-23T02:04:39.3571447Z                         auto tmp53 = std::max(tmp48, tmp46);
2022-11-23T02:04:39.3571567Z                         auto tmp54 = tmp39 & tmp28;
2022-11-23T02:04:39.3571876Z                         float tmp55 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3571994Z                         if(tmp54)
2022-11-23T02:04:39.3572097Z                         {
2022-11-23T02:04:39.3572258Z                             auto tmp56 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T02:04:39.3572381Z                             tmp55 = tmp56;
2022-11-23T02:04:39.3572484Z                         }
2022-11-23T02:04:39.3572629Z                         auto tmp57 = static_cast<long>(1 + (2*i1) + (16*i0));
2022-11-23T02:04:39.3572772Z                         auto tmp58 = tmp55 > tmp53;
2022-11-23T02:04:39.3572923Z                         auto tmp59 = tmp58 ? tmp57 : tmp52;
2022-11-23T02:04:39.3573081Z                         auto tmp60 = std::max(tmp55, tmp53);
2022-11-23T02:04:39.3573296Z                         auto tmp61 = static_cast<long>(1 + (2*i0));
2022-11-23T02:04:39.3573441Z                         auto tmp62 = tmp61 >= tmp1;
2022-11-23T02:04:39.3573578Z                         auto tmp63 = tmp61 < tmp3;
2022-11-23T02:04:39.3573758Z                         auto tmp64 = tmp62 & tmp63;
2022-11-23T02:04:39.3573828Z                         auto tmp65 = tmp64 & tmp9;
2022-11-23T02:04:39.3574131Z                         float tmp66 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3574245Z                         if(tmp65)
2022-11-23T02:04:39.3574351Z                         {
2022-11-23T02:04:39.3574529Z                             auto tmp67 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T02:04:39.3574639Z                             tmp66 = tmp67;
2022-11-23T02:04:39.3574741Z                         }
2022-11-23T02:04:39.3574888Z                         auto tmp68 = static_cast<long>(7 + (2*i1) + (16*i0));
2022-11-23T02:04:39.3575029Z                         auto tmp69 = tmp66 > tmp60;
2022-11-23T02:04:39.3575179Z                         auto tmp70 = tmp69 ? tmp68 : tmp59;
2022-11-23T02:04:39.3575336Z                         auto tmp71 = std::max(tmp66, tmp60);
2022-11-23T02:04:39.3575474Z                         auto tmp72 = tmp64 & tmp17;
2022-11-23T02:04:39.3575768Z                         float tmp73 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3575887Z                         if(tmp72)
2022-11-23T02:04:39.3575990Z                         {
2022-11-23T02:04:39.3576618Z                             auto tmp74 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T02:04:39.3576825Z                             tmp73 = tmp74;
2022-11-23T02:04:39.3576991Z                         }
2022-11-23T02:04:39.3577263Z                         auto tmp75 = static_cast<long>(8 + (2*i1) + (16*i0));
2022-11-23T02:04:39.3577480Z                         auto tmp76 = tmp73 > tmp71;
2022-11-23T02:04:39.3577720Z                         auto tmp77 = tmp76 ? tmp75 : tmp70;
2022-11-23T02:04:39.3577989Z                         auto tmp78 = std::max(tmp73, tmp71);
2022-11-23T02:04:39.3578169Z                         auto tmp79 = tmp64 & tmp28;
2022-11-23T02:04:39.3578493Z                         float tmp80 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3578609Z                         if(tmp79)
2022-11-23T02:04:39.3578711Z                         {
2022-11-23T02:04:39.3578861Z                             auto tmp81 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T02:04:39.3578983Z                             tmp80 = tmp81;
2022-11-23T02:04:39.3579085Z                         }
2022-11-23T02:04:39.3579232Z                         auto tmp82 = static_cast<long>(9 + (2*i1) + (16*i0));
2022-11-23T02:04:39.3579578Z                         auto tmp83 = tmp80 > tmp78;
2022-11-23T02:04:39.3579725Z                         auto tmp84 = tmp83 ? tmp82 : tmp77;
2022-11-23T02:04:39.3579880Z                         auto tmp85 = std::max(tmp80, tmp78);
2022-11-23T02:04:39.3580188Z                         float tmp86 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3580302Z                         if(tmp10)
2022-11-23T02:04:39.3580406Z                         {
2022-11-23T02:04:39.3580647Z                             auto tmp87 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T02:04:39.3580752Z                             tmp86 = tmp87;
2022-11-23T02:04:39.3580856Z                         }
2022-11-23T02:04:39.3581145Z                         float tmp88 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3581261Z                         if(tmp18)
2022-11-23T02:04:39.3581362Z                         {
2022-11-23T02:04:39.3581597Z                             auto tmp89 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T02:04:39.3581726Z                             tmp88 = tmp89;
2022-11-23T02:04:39.3581808Z                         }
2022-11-23T02:04:39.3581950Z                         auto tmp90 = tmp88 > tmp86;
2022-11-23T02:04:39.3582100Z                         auto tmp91 = tmp90 ? tmp21 : tmp13;
2022-11-23T02:04:39.3582333Z                         auto tmp92 = std::max(tmp88, tmp86);
2022-11-23T02:04:39.3582642Z                         float tmp93 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3582755Z                         if(tmp29)
2022-11-23T02:04:39.3582859Z                         {
2022-11-23T02:04:39.3583093Z                             auto tmp94 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T02:04:39.3583197Z                             tmp93 = tmp94;
2022-11-23T02:04:39.3583299Z                         }
2022-11-23T02:04:39.3583437Z                         auto tmp95 = tmp93 > tmp92;
2022-11-23T02:04:39.3583581Z                         auto tmp96 = tmp95 ? tmp32 : tmp91;
2022-11-23T02:04:39.3583739Z                         auto tmp97 = std::max(tmp93, tmp92);
2022-11-23T02:04:39.3584027Z                         float tmp98 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3584141Z                         if(tmp40)
2022-11-23T02:04:39.3584228Z                         {
2022-11-23T02:04:39.3584464Z                             auto tmp99 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T02:04:39.3592246Z                             tmp98 = tmp99;
2022-11-23T02:04:39.3592399Z                         }
2022-11-23T02:04:39.3592567Z                         auto tmp100 = tmp98 > tmp97;
2022-11-23T02:04:39.3592728Z                         auto tmp101 = tmp100 ? tmp43 : tmp96;
2022-11-23T02:04:39.3592898Z                         auto tmp102 = std::max(tmp98, tmp97);
2022-11-23T02:04:39.3593263Z                         float tmp103 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3593382Z                         if(tmp47)
2022-11-23T02:04:39.3593495Z                         {
2022-11-23T02:04:39.3593645Z                             auto tmp104 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T02:04:39.3593780Z                             tmp103 = tmp104;
2022-11-23T02:04:39.3593889Z                         }
2022-11-23T02:04:39.3594039Z                         auto tmp105 = tmp103 > tmp102;
2022-11-23T02:04:39.3594202Z                         auto tmp106 = tmp105 ? tmp50 : tmp101;
2022-11-23T02:04:39.3594366Z                         auto tmp107 = std::max(tmp103, tmp102);
2022-11-23T02:04:39.3594672Z                         float tmp108 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3594792Z                         if(tmp54)
2022-11-23T02:04:39.3594875Z                         {
2022-11-23T02:04:39.3595035Z                             auto tmp109 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T02:04:39.3595166Z                             tmp108 = tmp109;
2022-11-23T02:04:39.3595269Z                         }
2022-11-23T02:04:39.3595415Z                         auto tmp110 = tmp108 > tmp107;
2022-11-23T02:04:39.3595710Z                         auto tmp111 = tmp110 ? tmp57 : tmp106;
2022-11-23T02:04:39.3595873Z                         auto tmp112 = std::max(tmp108, tmp107);
2022-11-23T02:04:39.3596161Z                         float tmp113 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3596286Z                         if(tmp65)
2022-11-23T02:04:39.3596393Z                         {
2022-11-23T02:04:39.3596559Z                             auto tmp114 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T02:04:39.3596688Z                             tmp113 = tmp114;
2022-11-23T02:04:39.3596792Z                         }
2022-11-23T02:04:39.3596934Z                         auto tmp115 = tmp113 > tmp112;
2022-11-23T02:04:39.3597089Z                         auto tmp116 = tmp115 ? tmp68 : tmp111;
2022-11-23T02:04:39.3597231Z                         auto tmp117 = std::max(tmp113, tmp112);
2022-11-23T02:04:39.3597538Z                         float tmp118 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3597666Z                         if(tmp72)
2022-11-23T02:04:39.3597775Z                         {
2022-11-23T02:04:39.3597934Z                             auto tmp119 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T02:04:39.3598122Z                             tmp118 = tmp119;
2022-11-23T02:04:39.3598234Z                         }
2022-11-23T02:04:39.3598356Z                         auto tmp120 = tmp118 > tmp117;
2022-11-23T02:04:39.3598508Z                         auto tmp121 = tmp120 ? tmp75 : tmp116;
2022-11-23T02:04:39.3598678Z                         auto tmp122 = std::max(tmp118, tmp117);
2022-11-23T02:04:39.3598985Z                         float tmp123 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.3599106Z                         if(tmp79)
2022-11-23T02:04:39.3599216Z                         {
2022-11-23T02:04:39.3599371Z                             auto tmp124 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T02:04:39.3599500Z                             tmp123 = tmp124;
2022-11-23T02:04:39.3599587Z                         }
2022-11-23T02:04:39.3599730Z                         auto tmp125 = tmp123 > tmp122;
2022-11-23T02:04:39.3599886Z                         auto tmp126 = tmp125 ? tmp82 : tmp121;
2022-11-23T02:04:39.3600051Z                         auto tmp127 = std::max(tmp123, tmp122);
2022-11-23T02:04:39.3600192Z                         out_ptr0[i1 + (4*i0)] = tmp85;
2022-11-23T02:04:39.3600334Z                         out_ptr1[i1 + (4*i0)] = tmp126;
2022-11-23T02:04:39.3600437Z                     }
2022-11-23T02:04:39.3600517Z                 }
2022-11-23T02:04:39.3600621Z             }
2022-11-23T02:04:39.3600718Z         }
2022-11-23T02:04:39.3600821Z     }
2022-11-23T02:04:39.3600916Z }
2022-11-23T02:04:39.3601044Z ''')
2022-11-23T02:04:39.3601071Z 
2022-11-23T02:04:39.3601089Z 
2022-11-23T02:04:39.3601226Z async_compile.wait(globals())
2022-11-23T02:04:39.3601316Z del async_compile
2022-11-23T02:04:39.3601335Z 
2022-11-23T02:04:39.3601444Z def call(args):
2022-11-23T02:04:39.3601560Z     arg0_1, = args
2022-11-23T02:04:39.3601672Z     args.clear()
2022-11-23T02:04:39.3601977Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3602268Z     buf1 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.3602504Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.3602589Z     del arg0_1
2022-11-23T02:04:39.3602707Z     return (buf0, buf1, )
2022-11-23T02:04:39.3602727Z 
2022-11-23T02:04:39.3602746Z 
2022-11-23T02:04:39.3602863Z if __name__ == "__main__":
2022-11-23T02:04:39.3603032Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3603210Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3603504Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3603662Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.3604224Z [2022-11-23 01:56:48,527] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/76/c76uvaw4snhncg4cw2e6n6fb5axabm5srsopuww3ftrlqdksqr64.py
2022-11-23T02:04:39.3604591Z [2022-11-23 01:56:48,528] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 234
2022-11-23T02:04:39.3604613Z 
2022-11-23T02:04:39.3604697Z ok (2.900s)
2022-11-23T02:04:39.3605118Z   test_max_pool2d4_cpu (__main__.CpuTests) ... [2022-11-23 01:56:48,536] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3605541Z [2022-11-23 01:56:48,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.3605839Z [2022-11-23 01:56:48,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.3606182Z [2022-11-23 01:56:48,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.3606565Z [2022-11-23 01:56:48,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.3607053Z [2022-11-23 01:56:48,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3607530Z [2022-11-23 01:56:48,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3607967Z [2022-11-23 01:56:48,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3608482Z [2022-11-23 01:56:48,538] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb9630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1980> 
2022-11-23T02:04:39.3608603Z  1982           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.3608779Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T02:04:39.3608916Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.3609052Z                6 LOAD_CONST               1 (3)
2022-11-23T02:04:39.3609191Z                8 LOAD_CONST               1 (3)
2022-11-23T02:04:39.3609325Z               10 BUILD_LIST               2
2022-11-23T02:04:39.3609458Z               12 LOAD_CONST               2 (2)
2022-11-23T02:04:39.3609589Z               14 LOAD_CONST               2 (2)
2022-11-23T02:04:39.3609697Z               16 BUILD_LIST               2
2022-11-23T02:04:39.3609831Z               18 LOAD_CONST               3 (0)
2022-11-23T02:04:39.3609960Z               20 LOAD_CONST               3 (0)
2022-11-23T02:04:39.3610089Z               22 BUILD_LIST               2
2022-11-23T02:04:39.3610218Z               24 LOAD_CONST               4 (1)
2022-11-23T02:04:39.3610346Z               26 LOAD_CONST               4 (1)
2022-11-23T02:04:39.3610480Z               28 BUILD_LIST               2
2022-11-23T02:04:39.3610594Z               30 LOAD_CONST               5 (True)
2022-11-23T02:04:39.3610724Z               32 CALL_METHOD              6
2022-11-23T02:04:39.3610839Z               34 RETURN_VALUE
2022-11-23T02:04:39.3610939Z  
2022-11-23T02:04:39.3610959Z 
2022-11-23T02:04:39.3611398Z [2022-11-23 01:56:48,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1982
2022-11-23T02:04:39.3611693Z [2022-11-23 01:56:48,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.3612147Z [2022-11-23 01:56:48,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.3612527Z [2022-11-23 01:56:48,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T02:04:39.3613081Z [2022-11-23 01:56:48,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T02:04:39.3613548Z [2022-11-23 01:56:48,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3614059Z [2022-11-23 01:56:48,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3614503Z [2022-11-23 01:56:48,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.3614997Z [2022-11-23 01:56:48,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3615539Z [2022-11-23 01:56:48,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3616880Z [2022-11-23 01:56:48,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3617894Z [2022-11-23 01:56:48,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3618627Z [2022-11-23 01:56:48,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3619139Z [2022-11-23 01:56:48,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3619705Z [2022-11-23 01:56:48,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3620311Z [2022-11-23 01:56:48,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3620855Z [2022-11-23 01:56:48,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3621446Z [2022-11-23 01:56:48,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.3621788Z [2022-11-23 01:56:48,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3622281Z [2022-11-23 01:56:48,551] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb9630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1980>
2022-11-23T02:04:39.3622616Z [2022-11-23 01:56:48,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3622937Z [2022-11-23 01:56:48,551] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3623283Z [2022-11-23 01:56:48,553] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.3623624Z [2022-11-23 01:56:48,558] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.3624007Z [2022-11-23 01:56:48,558] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3624202Z  __compiled_fn_242 <eval_with_key>.1929 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3624336Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.3624580Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2], [0, 0], [1, 1], True), {}
2022-11-23T02:04:39.3624862Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T02:04:39.3625167Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T02:04:39.3625337Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T02:04:39.3625361Z 
2022-11-23T02:04:39.3625798Z [2022-11-23 01:56:48,559] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3625942Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.3626080Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3626209Z               4 BUILD_MAP                0
2022-11-23T02:04:39.3626347Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.3626550Z               8 DICT_MERGE               1
2022-11-23T02:04:39.3626690Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.3626806Z              12 RETURN_VALUE
2022-11-23T02:04:39.3626826Z 
2022-11-23T02:04:39.3626921Z  
2022-11-23T02:04:39.3627370Z [2022-11-23 01:56:48,559] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3627546Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_242)
2022-11-23T02:04:39.3627660Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3627802Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3627925Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.3628066Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.3628222Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.3628368Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3628502Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3628601Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.3628754Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3628887Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3629007Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.3629142Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.3629259Z              26 RETURN_VALUE
2022-11-23T02:04:39.3629279Z 
2022-11-23T02:04:39.3629375Z  
2022-11-23T02:04:39.3629675Z [2022-11-23 01:56:48,560] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3629852Z  - 
2022-11-23T02:04:39.3630030Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.3630133Z             {
2022-11-23T02:04:39.3630339Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.3630605Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.3630778Z                 'obj_weakref': None
2022-11-23T02:04:39.3631067Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.3631171Z             }
2022-11-23T02:04:39.3631276Z             
2022-11-23T02:04:39.3631386Z  - 
2022-11-23T02:04:39.3631568Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.3631668Z             {
2022-11-23T02:04:39.3631873Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3632008Z                 'code': None,
2022-11-23T02:04:39.3632302Z                 'obj_weakref': <weakref at 0x7fa5321083b0; to 'Tensor' at 0x7fa53c3ab3d0>
2022-11-23T02:04:39.3632648Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3632817Z             }
2022-11-23T02:04:39.3632917Z             
2022-11-23T02:04:39.3633031Z  - 
2022-11-23T02:04:39.3633220Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.3633298Z             {
2022-11-23T02:04:39.3633495Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3633736Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.3633913Z                 'obj_weakref': None
2022-11-23T02:04:39.3634228Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.3634331Z             }
2022-11-23T02:04:39.3634435Z             
2022-11-23T02:04:39.3634524Z  - 
2022-11-23T02:04:39.3634698Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.3634798Z             {
2022-11-23T02:04:39.3634991Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.3635289Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.3635468Z                 'obj_weakref': None
2022-11-23T02:04:39.3635772Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.3635850Z             }
2022-11-23T02:04:39.3635952Z             
2022-11-23T02:04:39.3636062Z  - 
2022-11-23T02:04:39.3636300Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.3636406Z             {
2022-11-23T02:04:39.3636583Z                 'guard_types': None,
2022-11-23T02:04:39.3636739Z                 'code': None,
2022-11-23T02:04:39.3636883Z                 'obj_weakref': None
2022-11-23T02:04:39.3637057Z                 'guarded_class': None
2022-11-23T02:04:39.3637160Z             }
2022-11-23T02:04:39.3637260Z             
2022-11-23T02:04:39.3637619Z [2022-11-23 01:56:48,570] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 235
2022-11-23T02:04:39.3638121Z [2022-11-23 01:56:51,402] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ig/ciggrxiibhvn2hvhvffsbza4bui5taxcm3ph35dv6rkwpkt5dwtp.py
2022-11-23T02:04:39.3638489Z [2022-11-23 01:56:51,402] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 235
2022-11-23T02:04:39.3638510Z 
2022-11-23T02:04:39.3638651Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3638742Z import torch
2022-11-23T02:04:39.3638852Z import random
2022-11-23T02:04:39.3639020Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3639196Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3639216Z 
2022-11-23T02:04:39.3639336Z aten = torch.ops.aten
2022-11-23T02:04:39.3639530Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3639669Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3639688Z 
2022-11-23T02:04:39.3639707Z 
2022-11-23T02:04:39.3639905Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3640167Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3640346Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.3640495Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.3640638Z                        long* __restrict__ out_ptr1)
2022-11-23T02:04:39.3640736Z {
2022-11-23T02:04:39.3640889Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3640994Z     {
2022-11-23T02:04:39.3641091Z         #pragma omp for 
2022-11-23T02:04:39.3641216Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.3641316Z         {
2022-11-23T02:04:39.3641439Z             #pragma GCC ivdep
2022-11-23T02:04:39.3641563Z             for(long i1=0; i1<55; i1+=1)
2022-11-23T02:04:39.3641670Z             {
2022-11-23T02:04:39.3641771Z                 #pragma GCC ivdep
2022-11-23T02:04:39.3641911Z                 for(long i2=0; i2<55; i2+=1)
2022-11-23T02:04:39.3642015Z                 {
2022-11-23T02:04:39.3642122Z                     {
2022-11-23T02:04:39.3642239Z                         {
2022-11-23T02:04:39.3642511Z                             auto tmp0 = in_ptr0[(2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:39.3642684Z                             auto tmp2 = in_ptr0[1 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:39.3642855Z                             auto tmp7 = in_ptr0[2 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:39.3643004Z                             auto tmp12 = in_ptr0[111 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:39.3643183Z                             auto tmp17 = in_ptr0[112 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:39.3643351Z                             auto tmp22 = in_ptr0[113 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:39.3643524Z                             auto tmp27 = in_ptr0[222 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:39.3643691Z                             auto tmp32 = in_ptr0[223 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:39.3643859Z                             auto tmp37 = in_ptr0[224 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T02:04:39.3644037Z                             auto tmp1 = static_cast<long>((2*i2) + (222*i1));
2022-11-23T02:04:39.3644209Z                             auto tmp3 = static_cast<long>(1 + (2*i2) + (222*i1));
2022-11-23T02:04:39.3644332Z                             auto tmp4 = tmp2 > tmp0;
2022-11-23T02:04:39.3644543Z                             auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T02:04:39.3644753Z                             auto tmp6 = std::max(tmp2, tmp0);
2022-11-23T02:04:39.3644930Z                             auto tmp8 = static_cast<long>(2 + (2*i2) + (222*i1));
2022-11-23T02:04:39.3645073Z                             auto tmp9 = tmp7 > tmp6;
2022-11-23T02:04:39.3645227Z                             auto tmp10 = tmp9 ? tmp8 : tmp5;
2022-11-23T02:04:39.3645389Z                             auto tmp11 = std::max(tmp7, tmp6);
2022-11-23T02:04:39.3645565Z                             auto tmp13 = static_cast<long>(111 + (2*i2) + (222*i1));
2022-11-23T02:04:39.3645690Z                             auto tmp14 = tmp12 > tmp11;
2022-11-23T02:04:39.3645849Z                             auto tmp15 = tmp14 ? tmp13 : tmp10;
2022-11-23T02:04:39.3646020Z                             auto tmp16 = std::max(tmp12, tmp11);
2022-11-23T02:04:39.3646196Z                             auto tmp18 = static_cast<long>(112 + (2*i2) + (222*i1));
2022-11-23T02:04:39.3646341Z                             auto tmp19 = tmp17 > tmp16;
2022-11-23T02:04:39.3646498Z                             auto tmp20 = tmp19 ? tmp18 : tmp15;
2022-11-23T02:04:39.3646655Z                             auto tmp21 = std::max(tmp17, tmp16);
2022-11-23T02:04:39.3646831Z                             auto tmp23 = static_cast<long>(113 + (2*i2) + (222*i1));
2022-11-23T02:04:39.3646957Z                             auto tmp24 = tmp22 > tmp21;
2022-11-23T02:04:39.3647111Z                             auto tmp25 = tmp24 ? tmp23 : tmp20;
2022-11-23T02:04:39.3647279Z                             auto tmp26 = std::max(tmp22, tmp21);
2022-11-23T02:04:39.3647451Z                             auto tmp28 = static_cast<long>(222 + (2*i2) + (222*i1));
2022-11-23T02:04:39.3647600Z                             auto tmp29 = tmp27 > tmp26;
2022-11-23T02:04:39.3647758Z                             auto tmp30 = tmp29 ? tmp28 : tmp25;
2022-11-23T02:04:39.3647924Z                             auto tmp31 = std::max(tmp27, tmp26);
2022-11-23T02:04:39.3648097Z                             auto tmp33 = static_cast<long>(223 + (2*i2) + (222*i1));
2022-11-23T02:04:39.3648220Z                             auto tmp34 = tmp32 > tmp31;
2022-11-23T02:04:39.3648376Z                             auto tmp35 = tmp34 ? tmp33 : tmp30;
2022-11-23T02:04:39.3648535Z                             auto tmp36 = std::max(tmp32, tmp31);
2022-11-23T02:04:39.3648706Z                             auto tmp38 = static_cast<long>(224 + (2*i2) + (222*i1));
2022-11-23T02:04:39.3648846Z                             auto tmp39 = tmp37 > tmp36;
2022-11-23T02:04:39.3649003Z                             auto tmp40 = tmp39 ? tmp38 : tmp35;
2022-11-23T02:04:39.3649234Z                             auto tmp41 = std::max(tmp37, tmp36);
2022-11-23T02:04:39.3649366Z                             out_ptr0[i2 + (55*i1) + (3025*i0)] = tmp41;
2022-11-23T02:04:39.3649523Z                             out_ptr1[i2 + (55*i1) + (3025*i0)] = tmp40;
2022-11-23T02:04:39.3649634Z                         }
2022-11-23T02:04:39.3649744Z                     }
2022-11-23T02:04:39.3649847Z                 }
2022-11-23T02:04:39.3649950Z             }
2022-11-23T02:04:39.3650049Z         }
2022-11-23T02:04:39.3650124Z     }
2022-11-23T02:04:39.3650217Z }
2022-11-23T02:04:39.3650366Z ''')
2022-11-23T02:04:39.3650387Z 
2022-11-23T02:04:39.3650405Z 
2022-11-23T02:04:39.3650543Z async_compile.wait(globals())
2022-11-23T02:04:39.3650654Z del async_compile
2022-11-23T02:04:39.3650674Z 
2022-11-23T02:04:39.3650788Z def call(args):
2022-11-23T02:04:39.3650902Z     arg0_1, = args
2022-11-23T02:04:39.3650990Z     args.clear()
2022-11-23T02:04:39.3651308Z     buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3651611Z     buf1 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.3651896Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.3652012Z     del arg0_1
2022-11-23T02:04:39.3652134Z     return (buf0, buf1, )
2022-11-23T02:04:39.3652154Z 
2022-11-23T02:04:39.3652173Z 
2022-11-23T02:04:39.3652292Z if __name__ == "__main__":
2022-11-23T02:04:39.3652458Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3652636Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3652935Z     arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3653093Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.3653113Z 
2022-11-23T02:04:39.3653218Z ok (2.875s)
2022-11-23T02:04:39.3653647Z   test_max_pool2d5_cpu (__main__.CpuTests) ... [2022-11-23 01:56:51,440] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3654080Z [2022-11-23 01:56:51,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.3654381Z [2022-11-23 01:56:51,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.3654726Z [2022-11-23 01:56:51,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.3655110Z [2022-11-23 01:56:51,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.3655542Z [2022-11-23 01:56:51,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3655983Z [2022-11-23 01:56:51,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3657228Z [2022-11-23 01:56:51,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3658159Z [2022-11-23 01:56:51,441] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb9790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1990> 
2022-11-23T02:04:39.3658368Z  1991           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.3658545Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T02:04:39.3658684Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.3658823Z                6 LOAD_CONST               1 (3)
2022-11-23T02:04:39.3658957Z                8 LOAD_CONST               1 (3)
2022-11-23T02:04:39.3659066Z               10 BUILD_LIST               2
2022-11-23T02:04:39.3659196Z               12 BUILD_LIST               0
2022-11-23T02:04:39.3659509Z               14 CALL_METHOD              3
2022-11-23T02:04:39.3659630Z               16 RETURN_VALUE
2022-11-23T02:04:39.3659733Z  
2022-11-23T02:04:39.3659755Z 
2022-11-23T02:04:39.3660203Z [2022-11-23 01:56:51,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1991
2022-11-23T02:04:39.3660502Z [2022-11-23 01:56:51,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.3660954Z [2022-11-23 01:56:51,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.3661336Z [2022-11-23 01:56:51,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T02:04:39.3661731Z [2022-11-23 01:56:51,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T02:04:39.3662204Z [2022-11-23 01:56:51,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3662799Z [2022-11-23 01:56:51,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3663260Z [2022-11-23 01:56:51,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.3663744Z [2022-11-23 01:56:51,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3664079Z [2022-11-23 01:56:51,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3664588Z [2022-11-23 01:56:51,453] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb9790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1990>
2022-11-23T02:04:39.3664935Z [2022-11-23 01:56:51,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3665260Z [2022-11-23 01:56:51,453] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3665617Z [2022-11-23 01:56:51,455] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.3665958Z [2022-11-23 01:56:51,460] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.3666201Z [2022-11-23 01:56:51,461] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3666398Z  __compiled_fn_243 <eval_with_key>.1935 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3666534Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.3666763Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], []), {}
2022-11-23T02:04:39.3667067Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T02:04:39.3667376Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T02:04:39.3667544Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T02:04:39.3667565Z 
2022-11-23T02:04:39.3668009Z [2022-11-23 01:56:51,461] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3668127Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.3668266Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3668397Z               4 BUILD_MAP                0
2022-11-23T02:04:39.3668539Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.3668664Z               8 DICT_MERGE               1
2022-11-23T02:04:39.3668865Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.3668989Z              12 RETURN_VALUE
2022-11-23T02:04:39.3669011Z 
2022-11-23T02:04:39.3669107Z  
2022-11-23T02:04:39.3669526Z [2022-11-23 01:56:51,461] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3669692Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_243)
2022-11-23T02:04:39.3669829Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3669965Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3670091Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.3670219Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.3670372Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.3670499Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3670634Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3670756Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.3670908Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3671041Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3671161Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.3671340Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.3671440Z              26 RETURN_VALUE
2022-11-23T02:04:39.3671487Z 
2022-11-23T02:04:39.3671561Z  
2022-11-23T02:04:39.3671820Z [2022-11-23 01:56:51,463] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3671933Z  - 
2022-11-23T02:04:39.3672105Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.3672207Z             {
2022-11-23T02:04:39.3672408Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.3672668Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.3672819Z                 'obj_weakref': None
2022-11-23T02:04:39.3673127Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.3673236Z             }
2022-11-23T02:04:39.3673337Z             
2022-11-23T02:04:39.3673447Z  - 
2022-11-23T02:04:39.3673634Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.3673712Z             {
2022-11-23T02:04:39.3673919Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3674079Z                 'code': None,
2022-11-23T02:04:39.3674375Z                 'obj_weakref': <weakref at 0x7fa51c53fe20; to 'Tensor' at 0x7fa5500e4950>
2022-11-23T02:04:39.3674724Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3674825Z             }
2022-11-23T02:04:39.3674925Z             
2022-11-23T02:04:39.3675037Z  - 
2022-11-23T02:04:39.3675203Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.3675303Z             {
2022-11-23T02:04:39.3675497Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3675732Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.3675910Z                 'obj_weakref': None
2022-11-23T02:04:39.3676224Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.3676327Z             }
2022-11-23T02:04:39.3676408Z             
2022-11-23T02:04:39.3676521Z  - 
2022-11-23T02:04:39.3676705Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.3676805Z             {
2022-11-23T02:04:39.3677006Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.3677302Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.3677478Z                 'obj_weakref': None
2022-11-23T02:04:39.3677759Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.3677865Z             }
2022-11-23T02:04:39.3677966Z             
2022-11-23T02:04:39.3678082Z  - 
2022-11-23T02:04:39.3678273Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.3678449Z             {
2022-11-23T02:04:39.3678604Z                 'guard_types': None,
2022-11-23T02:04:39.3678766Z                 'code': None,
2022-11-23T02:04:39.3678938Z                 'obj_weakref': None
2022-11-23T02:04:39.3679111Z                 'guarded_class': None
2022-11-23T02:04:39.3679214Z             }
2022-11-23T02:04:39.3679314Z             
2022-11-23T02:04:39.3679680Z [2022-11-23 01:56:51,471] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 236
2022-11-23T02:04:39.3680181Z [2022-11-23 01:56:54,282] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vx/cvxjwy2ida4lobgtpww6q2je7qipfcnfslqklc2neyxzzgprp3kl.py
2022-11-23T02:04:39.3680522Z [2022-11-23 01:56:54,283] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 236
2022-11-23T02:04:39.3680543Z 
2022-11-23T02:04:39.3680689Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3680799Z import torch
2022-11-23T02:04:39.3680913Z import random
2022-11-23T02:04:39.3681081Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3681258Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3681277Z 
2022-11-23T02:04:39.3681396Z aten = torch.ops.aten
2022-11-23T02:04:39.3681623Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3681772Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3681791Z 
2022-11-23T02:04:39.3681810Z 
2022-11-23T02:04:39.3682023Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3682309Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3682482Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.3682634Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.3682785Z                        long* __restrict__ out_ptr1)
2022-11-23T02:04:39.3682882Z {
2022-11-23T02:04:39.3683006Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3683109Z     {
2022-11-23T02:04:39.3683229Z         #pragma omp for 
2022-11-23T02:04:39.3683359Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T02:04:39.3683460Z         {
2022-11-23T02:04:39.3683585Z             #pragma GCC ivdep
2022-11-23T02:04:39.3683720Z             for(long i1=0; i1<18; i1+=1)
2022-11-23T02:04:39.3683799Z             {
2022-11-23T02:04:39.3683930Z                 #pragma GCC ivdep
2022-11-23T02:04:39.3684066Z                 for(long i2=0; i2<18; i2+=1)
2022-11-23T02:04:39.3684169Z                 {
2022-11-23T02:04:39.3684278Z                     {
2022-11-23T02:04:39.3684385Z                         {
2022-11-23T02:04:39.3684554Z                             auto tmp0 = in_ptr0[(3*i2) + (165*i1) + (3025*i0)];
2022-11-23T02:04:39.3684700Z                             auto tmp2 = in_ptr0[1 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T02:04:39.3684952Z                             auto tmp7 = in_ptr0[2 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T02:04:39.3685199Z                             auto tmp12 = in_ptr0[55 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T02:04:39.3685363Z                             auto tmp17 = in_ptr0[56 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T02:04:39.3685530Z                             auto tmp22 = in_ptr0[57 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T02:04:39.3685702Z                             auto tmp27 = in_ptr0[110 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T02:04:39.3685868Z                             auto tmp32 = in_ptr0[111 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T02:04:39.3686035Z                             auto tmp37 = in_ptr0[112 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T02:04:39.3686179Z                             auto tmp1 = static_cast<long>((3*i2) + (165*i1));
2022-11-23T02:04:39.3686354Z                             auto tmp3 = static_cast<long>(1 + (3*i2) + (165*i1));
2022-11-23T02:04:39.3686503Z                             auto tmp4 = tmp2 > tmp0;
2022-11-23T02:04:39.3686660Z                             auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T02:04:39.3686922Z                             auto tmp6 = std::max(tmp2, tmp0);
2022-11-23T02:04:39.3687095Z                             auto tmp8 = static_cast<long>(2 + (3*i2) + (165*i1));
2022-11-23T02:04:39.3687244Z                             auto tmp9 = tmp7 > tmp6;
2022-11-23T02:04:39.3687400Z                             auto tmp10 = tmp9 ? tmp8 : tmp5;
2022-11-23T02:04:39.3687539Z                             auto tmp11 = std::max(tmp7, tmp6);
2022-11-23T02:04:39.3687713Z                             auto tmp13 = static_cast<long>(55 + (3*i2) + (165*i1));
2022-11-23T02:04:39.3687857Z                             auto tmp14 = tmp12 > tmp11;
2022-11-23T02:04:39.3688012Z                             auto tmp15 = tmp14 ? tmp13 : tmp10;
2022-11-23T02:04:39.3688174Z                             auto tmp16 = std::max(tmp12, tmp11);
2022-11-23T02:04:39.3688349Z                             auto tmp18 = static_cast<long>(56 + (3*i2) + (165*i1));
2022-11-23T02:04:39.3688506Z                             auto tmp19 = tmp17 > tmp16;
2022-11-23T02:04:39.3688662Z                             auto tmp20 = tmp19 ? tmp18 : tmp15;
2022-11-23T02:04:39.3688805Z                             auto tmp21 = std::max(tmp17, tmp16);
2022-11-23T02:04:39.3689041Z                             auto tmp23 = static_cast<long>(57 + (3*i2) + (165*i1));
2022-11-23T02:04:39.3689195Z                             auto tmp24 = tmp22 > tmp21;
2022-11-23T02:04:39.3689351Z                             auto tmp25 = tmp24 ? tmp23 : tmp20;
2022-11-23T02:04:39.3689516Z                             auto tmp26 = std::max(tmp22, tmp21);
2022-11-23T02:04:39.3689690Z                             auto tmp28 = static_cast<long>(110 + (3*i2) + (165*i1));
2022-11-23T02:04:39.3689833Z                             auto tmp29 = tmp27 > tmp26;
2022-11-23T02:04:39.3689990Z                             auto tmp30 = tmp29 ? tmp28 : tmp25;
2022-11-23T02:04:39.3690128Z                             auto tmp31 = std::max(tmp27, tmp26);
2022-11-23T02:04:39.3690311Z                             auto tmp33 = static_cast<long>(111 + (3*i2) + (165*i1));
2022-11-23T02:04:39.3690460Z                             auto tmp34 = tmp32 > tmp31;
2022-11-23T02:04:39.3690619Z                             auto tmp35 = tmp34 ? tmp33 : tmp30;
2022-11-23T02:04:39.3690788Z                             auto tmp36 = std::max(tmp32, tmp31);
2022-11-23T02:04:39.3690968Z                             auto tmp38 = static_cast<long>(112 + (3*i2) + (165*i1));
2022-11-23T02:04:39.3691114Z                             auto tmp39 = tmp37 > tmp36;
2022-11-23T02:04:39.3691266Z                             auto tmp40 = tmp39 ? tmp38 : tmp35;
2022-11-23T02:04:39.3691405Z                             auto tmp41 = std::max(tmp37, tmp36);
2022-11-23T02:04:39.3691564Z                             out_ptr0[i2 + (18*i1) + (324*i0)] = tmp41;
2022-11-23T02:04:39.3691720Z                             out_ptr1[i2 + (18*i1) + (324*i0)] = tmp40;
2022-11-23T02:04:39.3691828Z                         }
2022-11-23T02:04:39.3691942Z                     }
2022-11-23T02:04:39.3692041Z                 }
2022-11-23T02:04:39.3692145Z             }
2022-11-23T02:04:39.3692221Z         }
2022-11-23T02:04:39.3692317Z     }
2022-11-23T02:04:39.3692416Z }
2022-11-23T02:04:39.3692566Z ''')
2022-11-23T02:04:39.3692590Z 
2022-11-23T02:04:39.3692611Z 
2022-11-23T02:04:39.3692751Z async_compile.wait(globals())
2022-11-23T02:04:39.3692866Z del async_compile
2022-11-23T02:04:39.3692885Z 
2022-11-23T02:04:39.3692999Z def call(args):
2022-11-23T02:04:39.3693085Z     arg0_1, = args
2022-11-23T02:04:39.3693203Z     args.clear()
2022-11-23T02:04:39.3693524Z     buf0 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3693827Z     buf1 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.3694060Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.3694230Z     del arg0_1
2022-11-23T02:04:39.3694355Z     return (buf0, buf1, )
2022-11-23T02:04:39.3694376Z 
2022-11-23T02:04:39.3694394Z 
2022-11-23T02:04:39.3694509Z if __name__ == "__main__":
2022-11-23T02:04:39.3694653Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3694838Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3695161Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3695321Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.3695341Z 
2022-11-23T02:04:39.3695447Z ok (2.883s)
2022-11-23T02:04:39.3695874Z   test_max_pool2d6_cpu (__main__.CpuTests) ... [2022-11-23 01:56:54,322] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3696871Z [2022-11-23 01:56:54,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.3697421Z [2022-11-23 01:56:54,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.3697954Z [2022-11-23 01:56:54,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.3698487Z [2022-11-23 01:56:54,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.3698937Z [2022-11-23 01:56:54,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3699411Z [2022-11-23 01:56:54,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3699847Z [2022-11-23 01:56:54,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3700350Z [2022-11-23 01:56:54,323] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb98f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2000> 
2022-11-23T02:04:39.3700501Z  2001           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.3700675Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T02:04:39.3700816Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.3700959Z                6 LOAD_CONST               1 (13)
2022-11-23T02:04:39.3701071Z                8 LOAD_CONST               1 (13)
2022-11-23T02:04:39.3701204Z               10 BUILD_LIST               2
2022-11-23T02:04:39.3701334Z               12 BUILD_LIST               0
2022-11-23T02:04:39.3701464Z               14 CALL_METHOD              3
2022-11-23T02:04:39.3701579Z               16 RETURN_VALUE
2022-11-23T02:04:39.3701677Z  
2022-11-23T02:04:39.3701698Z 
2022-11-23T02:04:39.3702132Z [2022-11-23 01:56:54,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2001
2022-11-23T02:04:39.3702440Z [2022-11-23 01:56:54,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.3702867Z [2022-11-23 01:56:54,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.3703243Z [2022-11-23 01:56:54,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T02:04:39.3703661Z [2022-11-23 01:56:54,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T02:04:39.3704126Z [2022-11-23 01:56:54,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3704632Z [2022-11-23 01:56:54,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3705276Z [2022-11-23 01:56:54,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.3705809Z [2022-11-23 01:56:54,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3706149Z [2022-11-23 01:56:54,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3706666Z [2022-11-23 01:56:54,335] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb98f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2000>
2022-11-23T02:04:39.3707000Z [2022-11-23 01:56:54,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.3707325Z [2022-11-23 01:56:54,335] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3707650Z [2022-11-23 01:56:54,337] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.3708130Z [2022-11-23 01:56:54,346] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.3708403Z [2022-11-23 01:56:54,347] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3708598Z  __compiled_fn_244 <eval_with_key>.1941 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3708733Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.3708955Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [13, 13], []), {}
2022-11-23T02:04:39.3709262Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T02:04:39.3709568Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T02:04:39.3709717Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T02:04:39.3709765Z 
2022-11-23T02:04:39.3710186Z [2022-11-23 01:56:54,347] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3710329Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.3710465Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3710598Z               4 BUILD_MAP                0
2022-11-23T02:04:39.3710738Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.3710868Z               8 DICT_MERGE               1
2022-11-23T02:04:39.3711004Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.3711099Z              12 RETURN_VALUE
2022-11-23T02:04:39.3711120Z 
2022-11-23T02:04:39.3711222Z  
2022-11-23T02:04:39.3711656Z [2022-11-23 01:56:54,347] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3711818Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_244)
2022-11-23T02:04:39.3711956Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3712097Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3712222Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.3712356Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.3712486Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.3712641Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3712778Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3712898Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.3713048Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.3713178Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3713297Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.3713405Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.3713592Z              26 RETURN_VALUE
2022-11-23T02:04:39.3713612Z 
2022-11-23T02:04:39.3713709Z  
2022-11-23T02:04:39.3713970Z [2022-11-23 01:56:54,349] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3714086Z  - 
2022-11-23T02:04:39.3714263Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.3714362Z             {
2022-11-23T02:04:39.3714542Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.3714803Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.3714975Z                 'obj_weakref': None
2022-11-23T02:04:39.3715285Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.3715389Z             }
2022-11-23T02:04:39.3715490Z             
2022-11-23T02:04:39.3715601Z  - 
2022-11-23T02:04:39.3715760Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.3715858Z             {
2022-11-23T02:04:39.3716068Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3716227Z                 'code': None,
2022-11-23T02:04:39.3716522Z                 'obj_weakref': <weakref at 0x7fa51c3e4a90; to 'Tensor' at 0x7fa5322ecb30>
2022-11-23T02:04:39.3716923Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3717035Z             }
2022-11-23T02:04:39.3717112Z             
2022-11-23T02:04:39.3717227Z  - 
2022-11-23T02:04:39.3717416Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.3717521Z             {
2022-11-23T02:04:39.3717715Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3717955Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.3718126Z                 'obj_weakref': None
2022-11-23T02:04:39.3718418Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.3718518Z             }
2022-11-23T02:04:39.3718625Z             
2022-11-23T02:04:39.3718744Z  - 
2022-11-23T02:04:39.3718920Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.3719019Z             {
2022-11-23T02:04:39.3719221Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.3719495Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.3719666Z                 'obj_weakref': None
2022-11-23T02:04:39.3719970Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.3720068Z             }
2022-11-23T02:04:39.3720163Z             
2022-11-23T02:04:39.3720272Z  - 
2022-11-23T02:04:39.3720462Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.3720542Z             {
2022-11-23T02:04:39.3720715Z                 'guard_types': None,
2022-11-23T02:04:39.3720876Z                 'code': None,
2022-11-23T02:04:39.3721046Z                 'obj_weakref': None
2022-11-23T02:04:39.3721219Z                 'guarded_class': None
2022-11-23T02:04:39.3721327Z             }
2022-11-23T02:04:39.3721426Z             
2022-11-23T02:04:39.3721764Z [2022-11-23 01:56:54,358] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 237
2022-11-23T02:04:39.3722108Z [2022-11-23 01:56:54,361] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices
2022-11-23T02:04:39.3722606Z [2022-11-23 01:56:54,365] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ss/cssf4bffopjz4oe5yzaesenr6nusgplbxu3f2lwtm5ob6wfvv4xt.py
2022-11-23T02:04:39.3722967Z [2022-11-23 01:56:54,365] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 237
2022-11-23T02:04:39.3722988Z 
2022-11-23T02:04:39.3723137Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3723244Z import torch
2022-11-23T02:04:39.3723354Z import random
2022-11-23T02:04:39.3723524Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3723678Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3723778Z 
2022-11-23T02:04:39.3723909Z aten = torch.ops.aten
2022-11-23T02:04:39.3724104Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3724246Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3724266Z 
2022-11-23T02:04:39.3724291Z 
2022-11-23T02:04:39.3724425Z async_compile.wait(globals())
2022-11-23T02:04:39.3724538Z del async_compile
2022-11-23T02:04:39.3724557Z 
2022-11-23T02:04:39.3724673Z def call(args):
2022-11-23T02:04:39.3724783Z     arg0_1, = args
2022-11-23T02:04:39.3724871Z     args.clear()
2022-11-23T02:04:39.3725056Z     buf0 = aten.max_pool2d_with_indices(arg0_1, [13, 13], [13, 13], [0, 0], 1, False)
2022-11-23T02:04:39.3725166Z     del arg0_1
2022-11-23T02:04:39.3725278Z     buf1 = buf0[0]
2022-11-23T02:04:39.3725439Z     assert_size_stride(buf1, (16, 64, 4, 4), (1024, 16, 4, 1))
2022-11-23T02:04:39.3725551Z     buf2 = buf0[1]
2022-11-23T02:04:39.3725705Z     assert_size_stride(buf2, (16, 64, 4, 4), (1024, 16, 4, 1))
2022-11-23T02:04:39.3725791Z     del buf0
2022-11-23T02:04:39.3725914Z     return (buf1, buf2, )
2022-11-23T02:04:39.3725934Z 
2022-11-23T02:04:39.3725953Z 
2022-11-23T02:04:39.3726067Z if __name__ == "__main__":
2022-11-23T02:04:39.3726229Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3726463Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3726798Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3726959Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.3726978Z 
2022-11-23T02:04:39.3727084Z ok (0.080s)
2022-11-23T02:04:39.3727526Z   test_max_pool2d_with_indices_backward2_cpu (__main__.CpuTests) ... [2022-11-23 01:56:54,377] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3727952Z [2022-11-23 01:56:54,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.3728262Z [2022-11-23 01:56:54,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.3728611Z [2022-11-23 01:56:54,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.3728990Z [2022-11-23 01:56:54,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.3729423Z [2022-11-23 01:56:54,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3729896Z [2022-11-23 01:56:54,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3730329Z [2022-11-23 01:56:54,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3730853Z [2022-11-23 01:56:54,378] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f7a290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3932> 
2022-11-23T02:04:39.3730997Z  3933           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.3731163Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T02:04:39.3731208Z 
2022-11-23T02:04:39.3731322Z 3934           4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.3731456Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.3731585Z                8 LOAD_CONST               1 (3)
2022-11-23T02:04:39.3731724Z               10 LOAD_CONST               1 (3)
2022-11-23T02:04:39.3731860Z               12 BUILD_LIST               2
2022-11-23T02:04:39.3731994Z               14 LOAD_CONST               2 (2)
2022-11-23T02:04:39.3732128Z               16 LOAD_CONST               2 (2)
2022-11-23T02:04:39.3732236Z               18 BUILD_LIST               2
2022-11-23T02:04:39.3732460Z               20 LOAD_CONST               3 (1)
2022-11-23T02:04:39.3732593Z               22 LOAD_CONST               3 (1)
2022-11-23T02:04:39.3732726Z               24 BUILD_LIST               2
2022-11-23T02:04:39.3732861Z               26 LOAD_CONST               3 (1)
2022-11-23T02:04:39.3733000Z               28 LOAD_CONST               3 (1)
2022-11-23T02:04:39.3733131Z               30 BUILD_LIST               2
2022-11-23T02:04:39.3733245Z               32 LOAD_CONST               4 (True)
2022-11-23T02:04:39.3733374Z               34 LOAD_FAST                2 (c)
2022-11-23T02:04:39.3733393Z 
2022-11-23T02:04:39.3733530Z 3933          36 CALL_METHOD              8
2022-11-23T02:04:39.3733649Z               38 RETURN_VALUE
2022-11-23T02:04:39.3733751Z  
2022-11-23T02:04:39.3733770Z 
2022-11-23T02:04:39.3734207Z [2022-11-23 01:56:54,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3933
2022-11-23T02:04:39.3734516Z [2022-11-23 01:56:54,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.3735045Z [2022-11-23 01:56:54,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.3735480Z [2022-11-23 01:56:54,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3934
2022-11-23T02:04:39.3735858Z [2022-11-23 01:56:54,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T02:04:39.3736922Z [2022-11-23 01:56:54,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T02:04:39.3737793Z [2022-11-23 01:56:54,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3738566Z [2022-11-23 01:56:54,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3739151Z [2022-11-23 01:56:54,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3739652Z [2022-11-23 01:56:54,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.3740200Z [2022-11-23 01:56:54,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3740793Z [2022-11-23 01:56:54,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3741340Z [2022-11-23 01:56:54,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3741922Z [2022-11-23 01:56:54,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3742561Z [2022-11-23 01:56:54,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3743319Z [2022-11-23 01:56:54,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3743929Z [2022-11-23 01:56:54,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3744586Z [2022-11-23 01:56:54,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3745197Z [2022-11-23 01:56:54,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3745927Z [2022-11-23 01:56:54,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.3746367Z [2022-11-23 01:56:54,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3933
2022-11-23T02:04:39.3747035Z [2022-11-23 01:56:54,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T02:04:39.3747378Z [2022-11-23 01:56:54,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.3747881Z [2022-11-23 01:56:54,391] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f7a290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3932>
2022-11-23T02:04:39.3748228Z [2022-11-23 01:56:54,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.3748553Z [2022-11-23 01:56:54,391] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3748897Z [2022-11-23 01:56:54,393] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.3749238Z [2022-11-23 01:56:54,398] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.3749504Z [2022-11-23 01:56:54,399] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3749701Z  __compiled_fn_245 <eval_with_key>.1947 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3749837Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.3749951Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.3750085Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.3750358Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [3, 3], [2, 2], [1, 1], [1, 1], True, ex_2_), {}
2022-11-23T02:04:39.3750556Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T02:04:39.3750578Z 
2022-11-23T02:04:39.3751022Z [2022-11-23 01:56:54,399] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3751165Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.3751304Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3751439Z               4 BUILD_MAP                0
2022-11-23T02:04:39.3751556Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.3751685Z               8 DICT_MERGE               1
2022-11-23T02:04:39.3751818Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.3752006Z              12 RETURN_VALUE
2022-11-23T02:04:39.3752026Z 
2022-11-23T02:04:39.3752123Z  
2022-11-23T02:04:39.3752563Z [2022-11-23 01:56:54,400] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3752730Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_245)
2022-11-23T02:04:39.3752868Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3752979Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3753100Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.3753237Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3753368Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3753486Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.3753625Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3753756Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.3753853Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.3753987Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.3754122Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.3754243Z              24 RETURN_VALUE
2022-11-23T02:04:39.3754263Z 
2022-11-23T02:04:39.3754361Z  
2022-11-23T02:04:39.3754690Z [2022-11-23 01:56:54,401] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3754809Z  - 
2022-11-23T02:04:39.3754963Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.3755074Z             {
2022-11-23T02:04:39.3755278Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.3755539Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.3755721Z                 'obj_weakref': None
2022-11-23T02:04:39.3756033Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.3756135Z             }
2022-11-23T02:04:39.3756215Z             
2022-11-23T02:04:39.3756333Z  - 
2022-11-23T02:04:39.3756515Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.3756611Z             {
2022-11-23T02:04:39.3756822Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3756981Z                 'code': None,
2022-11-23T02:04:39.3757281Z                 'obj_weakref': <weakref at 0x7fa51c3e51c0; to 'Tensor' at 0x7fa51c40ba60>
2022-11-23T02:04:39.3757604Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3757708Z             }
2022-11-23T02:04:39.3757808Z             
2022-11-23T02:04:39.3757925Z  - 
2022-11-23T02:04:39.3758104Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.3758209Z             {
2022-11-23T02:04:39.3758415Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3758549Z                 'code': None,
2022-11-23T02:04:39.3758842Z                 'obj_weakref': <weakref at 0x7fa51c3e4fe0; to 'Tensor' at 0x7fa61a7b4ef0>
2022-11-23T02:04:39.3759192Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3759293Z             }
2022-11-23T02:04:39.3759397Z             
2022-11-23T02:04:39.3759505Z  - 
2022-11-23T02:04:39.3759689Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.3759767Z             {
2022-11-23T02:04:39.3759968Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3760128Z                 'code': None,
2022-11-23T02:04:39.3760423Z                 'obj_weakref': <weakref at 0x7fa51c3e4d10; to 'Tensor' at 0x7fa51c40b290>
2022-11-23T02:04:39.3760767Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3760869Z             }
2022-11-23T02:04:39.3760969Z             
2022-11-23T02:04:39.3761055Z  - 
2022-11-23T02:04:39.3761283Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.3761386Z             {
2022-11-23T02:04:39.3761583Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3761903Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.3762076Z                 'obj_weakref': None
2022-11-23T02:04:39.3762396Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.3762474Z             }
2022-11-23T02:04:39.3762576Z             
2022-11-23T02:04:39.3762689Z  - 
2022-11-23T02:04:39.3762868Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.3762974Z             {
2022-11-23T02:04:39.3763172Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.3763473Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.3763622Z                 'obj_weakref': None
2022-11-23T02:04:39.3763929Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.3764032Z             }
2022-11-23T02:04:39.3764132Z             
2022-11-23T02:04:39.3764252Z  - 
2022-11-23T02:04:39.3764444Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.3764545Z             {
2022-11-23T02:04:39.3764694Z                 'guard_types': None,
2022-11-23T02:04:39.3764852Z                 'code': None,
2022-11-23T02:04:39.3765115Z                 'obj_weakref': None
2022-11-23T02:04:39.3765304Z                 'guarded_class': None
2022-11-23T02:04:39.3765409Z             }
2022-11-23T02:04:39.3765509Z             
2022-11-23T02:04:39.3765868Z [2022-11-23 01:56:54,411] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 238
2022-11-23T02:04:39.3766328Z [2022-11-23 01:56:57,141] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/47/c47sksylozy5wm64ku643j3p2etdkonymoe66z572mwwjrgexzup.py
2022-11-23T02:04:39.3766697Z [2022-11-23 01:56:57,142] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 238
2022-11-23T02:04:39.3766719Z 
2022-11-23T02:04:39.3766868Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3766975Z import torch
2022-11-23T02:04:39.3767085Z import random
2022-11-23T02:04:39.3767255Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3767432Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3767458Z 
2022-11-23T02:04:39.3767581Z aten = torch.ops.aten
2022-11-23T02:04:39.3767749Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3767889Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3767908Z 
2022-11-23T02:04:39.3767927Z 
2022-11-23T02:04:39.3768126Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3768407Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3768583Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.3768735Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.3768885Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.3768987Z {
2022-11-23T02:04:39.3769110Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3769205Z     {
2022-11-23T02:04:39.3769328Z         #pragma omp for 
2022-11-23T02:04:39.3769455Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.3769557Z         {
2022-11-23T02:04:39.3769687Z             #pragma GCC ivdep
2022-11-23T02:04:39.3769796Z             for(long i1=0; i1<40; i1+=1)
2022-11-23T02:04:39.3769902Z             {
2022-11-23T02:04:39.3770032Z                 #pragma GCC ivdep
2022-11-23T02:04:39.3770165Z                 for(long i2=0; i2<56; i2+=1)
2022-11-23T02:04:39.3770269Z                 {
2022-11-23T02:04:39.3770376Z                     {
2022-11-23T02:04:39.3770483Z                         {
2022-11-23T02:04:39.3770628Z                             auto tmp0 = static_cast<int>(i2 + (56*i1));
2022-11-23T02:04:39.3770797Z                             auto tmp1 = static_cast<int>((i1 / 2));
2022-11-23T02:04:39.3770958Z                             auto tmp2 = static_cast<int>((i2 / 2));
2022-11-23T02:04:39.3771283Z                             auto tmp3 = static_cast<int>(1 + (((1 + i1) / 2)));
2022-11-23T02:04:39.3771451Z                             auto tmp4 = static_cast<int>(1 + (((1 + i2) / 2)));
2022-11-23T02:04:39.3771608Z                             auto tmp5 = static_cast<int>(0);
2022-11-23T02:04:39.3771804Z                             auto tmp6 = std::max(tmp1, tmp5);
2022-11-23T02:04:39.3771964Z                             auto tmp7 = std::max(tmp2, tmp5);
2022-11-23T02:04:39.3772095Z                             auto tmp8 = static_cast<int>(21);
2022-11-23T02:04:39.3772250Z                             auto tmp9 = std::min(tmp3, tmp8);
2022-11-23T02:04:39.3772408Z                             auto tmp10 = static_cast<int>(29);
2022-11-23T02:04:39.3772570Z                             auto tmp11 = std::min(tmp4, tmp10);
2022-11-23T02:04:39.3772714Z                             auto tmp12 = tmp6 + tmp5;
2022-11-23T02:04:39.3772854Z                             auto tmp13 = tmp7 + tmp5;
2022-11-23T02:04:39.3773014Z                             auto tmp14 = static_cast<int>(1);
2022-11-23T02:04:39.3773290Z                             auto tmp15 = tmp9 - tmp14;
2022-11-23T02:04:39.3773429Z                             auto tmp16 = std::min(tmp12, tmp15);
2022-11-23T02:04:39.3773687Z                             auto tmp17 = tmp11 - tmp14;
2022-11-23T02:04:39.3773855Z                             auto tmp18 = std::min(tmp13, tmp17);
2022-11-23T02:04:39.3774031Z                             auto tmp19 = in_ptr0[tmp18 + (29*tmp16) + (609*i0)];
2022-11-23T02:04:39.3774206Z                             auto tmp20 = in_ptr1[tmp18 + (29*tmp16) + (609*i0)];
2022-11-23T02:04:39.3774356Z                             auto tmp21 = tmp19 == tmp0;
2022-11-23T02:04:39.3774525Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T02:04:39.3774682Z                             auto tmp23 = tmp21 ? tmp20 : tmp22;
2022-11-23T02:04:39.3774804Z                             auto tmp24 = tmp7 + tmp14;
2022-11-23T02:04:39.3774973Z                             auto tmp25 = std::min(tmp24, tmp17);
2022-11-23T02:04:39.3775140Z                             auto tmp26 = in_ptr0[tmp25 + (29*tmp16) + (609*i0)];
2022-11-23T02:04:39.3775312Z                             auto tmp27 = in_ptr1[tmp25 + (29*tmp16) + (609*i0)];
2022-11-23T02:04:39.3775459Z                             auto tmp28 = tmp26 == tmp0;
2022-11-23T02:04:39.3775603Z                             auto tmp29 = tmp12 < tmp9;
2022-11-23T02:04:39.3775753Z                             auto tmp30 = tmp24 < tmp11;
2022-11-23T02:04:39.3775872Z                             auto tmp31 = tmp29 & tmp30;
2022-11-23T02:04:39.3776018Z                             auto tmp32 = tmp31 & tmp28;
2022-11-23T02:04:39.3776649Z                             auto tmp33 = tmp23 + tmp27;
2022-11-23T02:04:39.3776872Z                             auto tmp34 = tmp32 ? tmp33 : tmp23;
2022-11-23T02:04:39.3777096Z                             auto tmp35 = tmp6 + tmp14;
2022-11-23T02:04:39.3777370Z                             auto tmp36 = std::min(tmp35, tmp15);
2022-11-23T02:04:39.3777654Z                             auto tmp37 = in_ptr0[tmp18 + (29*tmp36) + (609*i0)];
2022-11-23T02:04:39.3777939Z                             auto tmp38 = in_ptr1[tmp18 + (29*tmp36) + (609*i0)];
2022-11-23T02:04:39.3778071Z                             auto tmp39 = tmp37 == tmp0;
2022-11-23T02:04:39.3778214Z                             auto tmp40 = tmp35 < tmp9;
2022-11-23T02:04:39.3778361Z                             auto tmp41 = tmp13 < tmp11;
2022-11-23T02:04:39.3778505Z                             auto tmp42 = tmp40 & tmp41;
2022-11-23T02:04:39.3778650Z                             auto tmp43 = tmp42 & tmp39;
2022-11-23T02:04:39.3778795Z                             auto tmp44 = tmp34 + tmp38;
2022-11-23T02:04:39.3778959Z                             auto tmp45 = tmp43 ? tmp44 : tmp34;
2022-11-23T02:04:39.3779129Z                             auto tmp46 = in_ptr0[tmp25 + (29*tmp36) + (609*i0)];
2022-11-23T02:04:39.3779420Z                             auto tmp47 = in_ptr1[tmp25 + (29*tmp36) + (609*i0)];
2022-11-23T02:04:39.3779568Z                             auto tmp48 = tmp46 == tmp0;
2022-11-23T02:04:39.3779710Z                             auto tmp49 = tmp40 & tmp30;
2022-11-23T02:04:39.3779861Z                             auto tmp50 = tmp49 & tmp48;
2022-11-23T02:04:39.3780003Z                             auto tmp51 = tmp45 + tmp47;
2022-11-23T02:04:39.3780156Z                             auto tmp52 = tmp50 ? tmp51 : tmp45;
2022-11-23T02:04:39.3780314Z                             out_ptr0[i2 + (56*i1) + (2240*i0)] = tmp52;
2022-11-23T02:04:39.3780398Z                         }
2022-11-23T02:04:39.3780509Z                     }
2022-11-23T02:04:39.3780613Z                 }
2022-11-23T02:04:39.3780715Z             }
2022-11-23T02:04:39.3780823Z         }
2022-11-23T02:04:39.3780918Z     }
2022-11-23T02:04:39.3781014Z }
2022-11-23T02:04:39.3781134Z ''')
2022-11-23T02:04:39.3781154Z 
2022-11-23T02:04:39.3781178Z 
2022-11-23T02:04:39.3781317Z async_compile.wait(globals())
2022-11-23T02:04:39.3781431Z del async_compile
2022-11-23T02:04:39.3781450Z 
2022-11-23T02:04:39.3781561Z def call(args):
2022-11-23T02:04:39.3781689Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.3781869Z     args.clear()
2022-11-23T02:04:39.3782198Z     buf0 = empty_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3782410Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.3782517Z     del arg0_1
2022-11-23T02:04:39.3782624Z     del arg2_1
2022-11-23T02:04:39.3782739Z     return (buf0, )
2022-11-23T02:04:39.3782759Z 
2022-11-23T02:04:39.3782777Z 
2022-11-23T02:04:39.3782895Z if __name__ == "__main__":
2022-11-23T02:04:39.3783061Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3783237Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3783547Z     arg0_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3783832Z     arg1_1 = rand_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3784131Z     arg2_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.3784313Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.3784333Z 
2022-11-23T02:04:39.3784442Z ok (2.775s)
2022-11-23T02:04:39.3784965Z   test_max_pool2d_with_indices_backward3_cpu (__main__.CpuTests) ... [2022-11-23 01:56:57,313] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3785400Z [2022-11-23 01:56:57,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.3785703Z [2022-11-23 01:56:57,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.3786061Z [2022-11-23 01:56:57,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.3786438Z [2022-11-23 01:56:57,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.3786909Z [2022-11-23 01:56:57,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3787445Z [2022-11-23 01:56:57,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3787875Z [2022-11-23 01:56:57,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3788378Z [2022-11-23 01:56:57,314] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f7a3f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3958> 
2022-11-23T02:04:39.3788584Z  3959           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.3788768Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T02:04:39.3788789Z 
2022-11-23T02:04:39.3788930Z 3960           4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.3789065Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.3789200Z                8 LOAD_CONST               1 (1)
2022-11-23T02:04:39.3789334Z               10 LOAD_CONST               1 (1)
2022-11-23T02:04:39.3789444Z               12 BUILD_LIST               2
2022-11-23T02:04:39.3789577Z               14 LOAD_CONST               2 (2)
2022-11-23T02:04:39.3789704Z               16 LOAD_CONST               2 (2)
2022-11-23T02:04:39.3789836Z               18 BUILD_LIST               2
2022-11-23T02:04:39.3789969Z               20 LOAD_CONST               3 (0)
2022-11-23T02:04:39.3790100Z               22 LOAD_CONST               3 (0)
2022-11-23T02:04:39.3790235Z               24 BUILD_LIST               2
2022-11-23T02:04:39.3790342Z               26 LOAD_CONST               1 (1)
2022-11-23T02:04:39.3790478Z               28 LOAD_CONST               1 (1)
2022-11-23T02:04:39.3790609Z               30 BUILD_LIST               2
2022-11-23T02:04:39.3790797Z               32 LOAD_CONST               4 (False)
2022-11-23T02:04:39.3790937Z               34 LOAD_FAST                2 (c)
2022-11-23T02:04:39.3790956Z 
2022-11-23T02:04:39.3791091Z 3959          36 CALL_METHOD              8
2022-11-23T02:04:39.3791209Z               38 RETURN_VALUE
2022-11-23T02:04:39.3791283Z  
2022-11-23T02:04:39.3791302Z 
2022-11-23T02:04:39.3791746Z [2022-11-23 01:56:57,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3959
2022-11-23T02:04:39.3792047Z [2022-11-23 01:56:57,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.3792512Z [2022-11-23 01:56:57,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.3792951Z [2022-11-23 01:56:57,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3960
2022-11-23T02:04:39.3793355Z [2022-11-23 01:56:57,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T02:04:39.3793788Z [2022-11-23 01:56:57,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T02:04:39.3794251Z [2022-11-23 01:56:57,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3794770Z [2022-11-23 01:56:57,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3795345Z [2022-11-23 01:56:57,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3795847Z [2022-11-23 01:56:57,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.3796397Z [2022-11-23 01:56:57,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3796997Z [2022-11-23 01:56:57,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3797578Z [2022-11-23 01:56:57,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3798164Z [2022-11-23 01:56:57,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3798798Z [2022-11-23 01:56:57,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3799359Z [2022-11-23 01:56:57,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3800030Z [2022-11-23 01:56:57,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3800694Z [2022-11-23 01:56:57,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3801299Z [2022-11-23 01:56:57,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3801955Z [2022-11-23 01:56:57,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.3802398Z [2022-11-23 01:56:57,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3959
2022-11-23T02:04:39.3803092Z [2022-11-23 01:56:57,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T02:04:39.3803432Z [2022-11-23 01:56:57,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.3803948Z [2022-11-23 01:56:57,327] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f7a3f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3958>
2022-11-23T02:04:39.3804291Z [2022-11-23 01:56:57,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.3804621Z [2022-11-23 01:56:57,327] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3804975Z [2022-11-23 01:56:57,331] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.3805300Z [2022-11-23 01:56:57,336] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.3805569Z [2022-11-23 01:56:57,337] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3805763Z  __compiled_fn_246 <eval_with_key>.1953 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3805900Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.3806036Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.3806167Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.3806442Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [1, 1], [2, 2], [0, 0], [1, 1], False, ex_2_), {}
2022-11-23T02:04:39.3806710Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T02:04:39.3806732Z 
2022-11-23T02:04:39.3807178Z [2022-11-23 01:56:57,337] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3807296Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.3807431Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3807563Z               4 BUILD_MAP                0
2022-11-23T02:04:39.3807708Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.3807843Z               8 DICT_MERGE               1
2022-11-23T02:04:39.3807979Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.3808097Z              12 RETURN_VALUE
2022-11-23T02:04:39.3808118Z 
2022-11-23T02:04:39.3808192Z  
2022-11-23T02:04:39.3808625Z [2022-11-23 01:56:57,338] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3808793Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_246)
2022-11-23T02:04:39.3808992Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3809134Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3809255Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.3809391Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3809528Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3809622Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.3809755Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3809890Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.3810012Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.3810158Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.3810292Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.3810413Z              24 RETURN_VALUE
2022-11-23T02:04:39.3810433Z 
2022-11-23T02:04:39.3810507Z  
2022-11-23T02:04:39.3810768Z [2022-11-23 01:56:57,339] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3810879Z  - 
2022-11-23T02:04:39.3811057Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.3811162Z             {
2022-11-23T02:04:39.3811364Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.3811626Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.3811777Z                 'obj_weakref': None
2022-11-23T02:04:39.3812096Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.3812204Z             }
2022-11-23T02:04:39.3812303Z             
2022-11-23T02:04:39.3812418Z  - 
2022-11-23T02:04:39.3812600Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.3812701Z             {
2022-11-23T02:04:39.3812880Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3813041Z                 'code': None,
2022-11-23T02:04:39.3813340Z                 'obj_weakref': <weakref at 0x7fa531eb03b0; to 'Tensor' at 0x7fa524641b70>
2022-11-23T02:04:39.3813693Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3813794Z             }
2022-11-23T02:04:39.3813897Z             
2022-11-23T02:04:39.3814007Z  - 
2022-11-23T02:04:39.3814160Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.3814265Z             {
2022-11-23T02:04:39.3814471Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3814630Z                 'code': None,
2022-11-23T02:04:39.3814928Z                 'obj_weakref': <weakref at 0x7fa51c40b290; to 'Tensor' at 0x7fa51c351800>
2022-11-23T02:04:39.3815273Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3815376Z             }
2022-11-23T02:04:39.3815541Z             
2022-11-23T02:04:39.3815663Z  - 
2022-11-23T02:04:39.3815840Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.3815941Z             {
2022-11-23T02:04:39.3816719Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3817002Z                 'code': None,
2022-11-23T02:04:39.3817495Z                 'obj_weakref': <weakref at 0x7fa51c40b1a0; to 'Tensor' at 0x7fa52469d300>
2022-11-23T02:04:39.3818059Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3818226Z             }
2022-11-23T02:04:39.3818378Z             
2022-11-23T02:04:39.3818523Z  - 
2022-11-23T02:04:39.3818714Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.3818817Z             {
2022-11-23T02:04:39.3819013Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3819227Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.3819411Z                 'obj_weakref': None
2022-11-23T02:04:39.3819725Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.3819829Z             }
2022-11-23T02:04:39.3819932Z             
2022-11-23T02:04:39.3820044Z  - 
2022-11-23T02:04:39.3820383Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.3820470Z             {
2022-11-23T02:04:39.3820669Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.3820973Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.3821144Z                 'obj_weakref': None
2022-11-23T02:04:39.3821449Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.3821553Z             }
2022-11-23T02:04:39.3821655Z             
2022-11-23T02:04:39.3821741Z  - 
2022-11-23T02:04:39.3821936Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.3822042Z             {
2022-11-23T02:04:39.3822227Z                 'guard_types': None,
2022-11-23T02:04:39.3822383Z                 'code': None,
2022-11-23T02:04:39.3822554Z                 'obj_weakref': None
2022-11-23T02:04:39.3822732Z                 'guarded_class': None
2022-11-23T02:04:39.3822809Z             }
2022-11-23T02:04:39.3822913Z             
2022-11-23T02:04:39.3823273Z [2022-11-23 01:56:57,349] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 239
2022-11-23T02:04:39.3823776Z [2022-11-23 01:57:00,058] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ty/ctycc4suoks7yturkyjmfoycds3zvuczat62u6z6tmy5rajwmknf.py
2022-11-23T02:04:39.3824151Z [2022-11-23 01:57:00,058] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 239
2022-11-23T02:04:39.3824174Z 
2022-11-23T02:04:39.3824314Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3824425Z import torch
2022-11-23T02:04:39.3824535Z import random
2022-11-23T02:04:39.3824681Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3824861Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3824880Z 
2022-11-23T02:04:39.3825004Z aten = torch.ops.aten
2022-11-23T02:04:39.3825197Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3825340Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3825359Z 
2022-11-23T02:04:39.3825378Z 
2022-11-23T02:04:39.3825572Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3825862Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3826036Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.3826170Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.3826317Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.3826418Z {
2022-11-23T02:04:39.3826562Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3826660Z     {
2022-11-23T02:04:39.3826895Z         #pragma omp for 
2022-11-23T02:04:39.3827000Z         for(long i0=0; i0<8192; i0+=1)
2022-11-23T02:04:39.3827101Z         {
2022-11-23T02:04:39.3827224Z             #pragma GCC ivdep
2022-11-23T02:04:39.3827358Z             for(long i1=0; i1<37; i1+=1)
2022-11-23T02:04:39.3827462Z             {
2022-11-23T02:04:39.3827588Z                 #pragma GCC ivdep
2022-11-23T02:04:39.3827723Z                 for(long i2=0; i2<38; i2+=1)
2022-11-23T02:04:39.3827802Z                 {
2022-11-23T02:04:39.3827907Z                     {
2022-11-23T02:04:39.3828014Z                         {
2022-11-23T02:04:39.3828179Z                             auto tmp0 = static_cast<int>(i2 + (38*i1));
2022-11-23T02:04:39.3828344Z                             auto tmp1 = static_cast<int>(((1 + i1) / 2));
2022-11-23T02:04:39.3828514Z                             auto tmp2 = static_cast<int>(((1 + i2) / 2));
2022-11-23T02:04:39.3828678Z                             auto tmp3 = static_cast<int>(1 + (i1 / 2));
2022-11-23T02:04:39.3828843Z                             auto tmp4 = static_cast<int>(1 + (i2 / 2));
2022-11-23T02:04:39.3828977Z                             auto tmp5 = static_cast<int>(0);
2022-11-23T02:04:39.3829168Z                             auto tmp6 = std::max(tmp1, tmp5);
2022-11-23T02:04:39.3829376Z                             auto tmp7 = std::max(tmp2, tmp5);
2022-11-23T02:04:39.3829537Z                             auto tmp8 = static_cast<int>(19);
2022-11-23T02:04:39.3829696Z                             auto tmp9 = std::min(tmp3, tmp8);
2022-11-23T02:04:39.3829857Z                             auto tmp10 = std::min(tmp4, tmp8);
2022-11-23T02:04:39.3830002Z                             auto tmp11 = tmp6 + tmp5;
2022-11-23T02:04:39.3830142Z                             auto tmp12 = tmp7 + tmp5;
2022-11-23T02:04:39.3830275Z                             auto tmp13 = static_cast<int>(1);
2022-11-23T02:04:39.3830492Z                             auto tmp14 = tmp9 - tmp13;
2022-11-23T02:04:39.3830653Z                             auto tmp15 = std::min(tmp11, tmp14);
2022-11-23T02:04:39.3830872Z                             auto tmp16 = tmp10 - tmp13;
2022-11-23T02:04:39.3831032Z                             auto tmp17 = std::min(tmp12, tmp16);
2022-11-23T02:04:39.3831209Z                             auto tmp18 = in_ptr0[tmp17 + (19*tmp15) + (361*i0)];
2022-11-23T02:04:39.3831385Z                             auto tmp19 = in_ptr1[tmp17 + (19*tmp15) + (361*i0)];
2022-11-23T02:04:39.3831507Z                             auto tmp20 = tmp18 == tmp0;
2022-11-23T02:04:39.3831669Z                             auto tmp21 = static_cast<float>(0.0);
2022-11-23T02:04:39.3831826Z                             auto tmp22 = tmp20 ? tmp19 : tmp21;
2022-11-23T02:04:39.3831981Z                             out_ptr0[i2 + (38*i1) + (1406*i0)] = tmp22;
2022-11-23T02:04:39.3832091Z                         }
2022-11-23T02:04:39.3832196Z                     }
2022-11-23T02:04:39.3832300Z                 }
2022-11-23T02:04:39.3832378Z             }
2022-11-23T02:04:39.3832480Z         }
2022-11-23T02:04:39.3832580Z     }
2022-11-23T02:04:39.3832672Z }
2022-11-23T02:04:39.3832796Z ''')
2022-11-23T02:04:39.3832817Z 
2022-11-23T02:04:39.3832839Z 
2022-11-23T02:04:39.3832976Z async_compile.wait(globals())
2022-11-23T02:04:39.3833090Z del async_compile
2022-11-23T02:04:39.3833113Z 
2022-11-23T02:04:39.3833230Z def call(args):
2022-11-23T02:04:39.3833334Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.3833445Z     args.clear()
2022-11-23T02:04:39.3833771Z     buf0 = empty_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3834001Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.3834109Z     del arg0_1
2022-11-23T02:04:39.3834213Z     del arg2_1
2022-11-23T02:04:39.3834331Z     return (buf0, )
2022-11-23T02:04:39.3834350Z 
2022-11-23T02:04:39.3834368Z 
2022-11-23T02:04:39.3834465Z if __name__ == "__main__":
2022-11-23T02:04:39.3834730Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3834917Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3835232Z     arg0_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3835549Z     arg1_1 = rand_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3835862Z     arg2_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.3836040Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.3836060Z 
2022-11-23T02:04:39.3836166Z ok (3.077s)
2022-11-23T02:04:39.3836637Z   test_max_pool2d_with_indices_backward4_cpu (__main__.CpuTests) ... [2022-11-23 01:57:00,228] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3837047Z [2022-11-23 01:57:00,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.3837353Z [2022-11-23 01:57:00,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.3837697Z [2022-11-23 01:57:00,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.3838130Z [2022-11-23 01:57:00,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.3838571Z [2022-11-23 01:57:00,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3839041Z [2022-11-23 01:57:00,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3839480Z [2022-11-23 01:57:00,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3839996Z [2022-11-23 01:57:00,229] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f7a550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3983> 
2022-11-23T02:04:39.3840142Z  3984           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.3840332Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T02:04:39.3840353Z 
2022-11-23T02:04:39.3840466Z 3985           4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.3840674Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.3840808Z                8 LOAD_CONST               1 (5)
2022-11-23T02:04:39.3840941Z               10 LOAD_CONST               1 (5)
2022-11-23T02:04:39.3841078Z               12 BUILD_LIST               2
2022-11-23T02:04:39.3841212Z               14 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3841351Z               16 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3841458Z               18 BUILD_LIST               2
2022-11-23T02:04:39.3841597Z               20 LOAD_CONST               3 (2)
2022-11-23T02:04:39.3841726Z               22 LOAD_CONST               3 (2)
2022-11-23T02:04:39.3841856Z               24 BUILD_LIST               2
2022-11-23T02:04:39.3841991Z               26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3842124Z               28 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3842253Z               30 BUILD_LIST               2
2022-11-23T02:04:39.3842367Z               32 LOAD_CONST               4 (False)
2022-11-23T02:04:39.3842497Z               34 LOAD_FAST                2 (c)
2022-11-23T02:04:39.3842516Z 
2022-11-23T02:04:39.3842653Z 3984          36 CALL_METHOD              8
2022-11-23T02:04:39.3842773Z               38 RETURN_VALUE
2022-11-23T02:04:39.3842869Z  
2022-11-23T02:04:39.3842888Z 
2022-11-23T02:04:39.3843321Z [2022-11-23 01:57:00,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3984
2022-11-23T02:04:39.3843705Z [2022-11-23 01:57:00,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.3844181Z [2022-11-23 01:57:00,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.3844610Z [2022-11-23 01:57:00,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3985
2022-11-23T02:04:39.3845011Z [2022-11-23 01:57:00,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T02:04:39.3845423Z [2022-11-23 01:57:00,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T02:04:39.3845893Z [2022-11-23 01:57:00,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3846415Z [2022-11-23 01:57:00,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3847047Z [2022-11-23 01:57:00,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3847554Z [2022-11-23 01:57:00,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.3848117Z [2022-11-23 01:57:00,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3848724Z [2022-11-23 01:57:00,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3849259Z [2022-11-23 01:57:00,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3849838Z [2022-11-23 01:57:00,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3850462Z [2022-11-23 01:57:00,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3851025Z [2022-11-23 01:57:00,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3851627Z [2022-11-23 01:57:00,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3852293Z [2022-11-23 01:57:00,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3852894Z [2022-11-23 01:57:00,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3853619Z [2022-11-23 01:57:00,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.3854055Z [2022-11-23 01:57:00,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3984
2022-11-23T02:04:39.3854743Z [2022-11-23 01:57:00,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T02:04:39.3855066Z [2022-11-23 01:57:00,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.3855584Z [2022-11-23 01:57:00,242] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f7a550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3983>
2022-11-23T02:04:39.3855969Z [2022-11-23 01:57:00,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.3856906Z [2022-11-23 01:57:00,242] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3857535Z [2022-11-23 01:57:00,244] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.3858057Z [2022-11-23 01:57:00,249] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.3858327Z [2022-11-23 01:57:00,250] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3858522Z  __compiled_fn_247 <eval_with_key>.1959 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3858657Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.3858773Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.3858904Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.3859184Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [5, 5], [1, 1], [2, 2], [1, 1], False, ex_2_), {}
2022-11-23T02:04:39.3859377Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T02:04:39.3859400Z 
2022-11-23T02:04:39.3859842Z [2022-11-23 01:57:00,250] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3859985Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.3860121Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3860257Z               4 BUILD_MAP                0
2022-11-23T02:04:39.3860399Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.3860506Z               8 DICT_MERGE               1
2022-11-23T02:04:39.3860645Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.3860761Z              12 RETURN_VALUE
2022-11-23T02:04:39.3860781Z 
2022-11-23T02:04:39.3860878Z  
2022-11-23T02:04:39.3861321Z [2022-11-23 01:57:00,250] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3861484Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_247)
2022-11-23T02:04:39.3861621Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3861734Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3861859Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.3861996Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3862130Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3862246Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.3862372Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3862510Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.3862760Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.3862894Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.3863029Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.3863150Z              24 RETURN_VALUE
2022-11-23T02:04:39.3863170Z 
2022-11-23T02:04:39.3863272Z  
2022-11-23T02:04:39.3863539Z [2022-11-23 01:57:00,252] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3863656Z  - 
2022-11-23T02:04:39.3863805Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.3863907Z             {
2022-11-23T02:04:39.3864106Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.3864366Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.3864543Z                 'obj_weakref': None
2022-11-23T02:04:39.3864856Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.3864959Z             }
2022-11-23T02:04:39.3865069Z             
2022-11-23T02:04:39.3865161Z  - 
2022-11-23T02:04:39.3865410Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.3865586Z             {
2022-11-23T02:04:39.3865789Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3865945Z                 'code': None,
2022-11-23T02:04:39.3866314Z                 'obj_weakref': <weakref at 0x7fa51c3a3600; to 'Tensor' at 0x7fa51c362ed0>
2022-11-23T02:04:39.3866671Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3866751Z             }
2022-11-23T02:04:39.3866851Z             
2022-11-23T02:04:39.3866964Z  - 
2022-11-23T02:04:39.3867143Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.3867243Z             {
2022-11-23T02:04:39.3867445Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3867578Z                 'code': None,
2022-11-23T02:04:39.3867871Z                 'obj_weakref': <weakref at 0x7fa51c3a03b0; to 'Tensor' at 0x7fa531ef4d60>
2022-11-23T02:04:39.3868211Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3868314Z             }
2022-11-23T02:04:39.3868415Z             
2022-11-23T02:04:39.3868529Z  - 
2022-11-23T02:04:39.3868706Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.3868784Z             {
2022-11-23T02:04:39.3868988Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3869147Z                 'code': None,
2022-11-23T02:04:39.3869436Z                 'obj_weakref': <weakref at 0x7fa51c3a3290; to 'Tensor' at 0x7fa51c363380>
2022-11-23T02:04:39.3869780Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3869880Z             }
2022-11-23T02:04:39.3869981Z             
2022-11-23T02:04:39.3870092Z  - 
2022-11-23T02:04:39.3870258Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.3870359Z             {
2022-11-23T02:04:39.3870564Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3870805Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.3870978Z                 'obj_weakref': None
2022-11-23T02:04:39.3871301Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.3871402Z             }
2022-11-23T02:04:39.3871478Z             
2022-11-23T02:04:39.3871590Z  - 
2022-11-23T02:04:39.3871767Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.3871868Z             {
2022-11-23T02:04:39.3872064Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.3872365Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.3872543Z                 'obj_weakref': None
2022-11-23T02:04:39.3872827Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.3872930Z             }
2022-11-23T02:04:39.3873100Z             
2022-11-23T02:04:39.3873213Z  - 
2022-11-23T02:04:39.3873398Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.3873499Z             {
2022-11-23T02:04:39.3873647Z                 'guard_types': None,
2022-11-23T02:04:39.3873809Z                 'code': None,
2022-11-23T02:04:39.3873985Z                 'obj_weakref': None
2022-11-23T02:04:39.3874161Z                 'guarded_class': None
2022-11-23T02:04:39.3874262Z             }
2022-11-23T02:04:39.3874365Z             
2022-11-23T02:04:39.3874728Z [2022-11-23 01:57:00,262] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 240
2022-11-23T02:04:39.3874751Z 
2022-11-23T02:04:39.3874889Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3874975Z import torch
2022-11-23T02:04:39.3875087Z import random
2022-11-23T02:04:39.3875257Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3875433Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3875457Z 
2022-11-23T02:04:39.3875575Z aten = torch.ops.aten
2022-11-23T02:04:39.3875770Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3875907Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3875927Z 
2022-11-23T02:04:39.3875945Z 
2022-11-23T02:04:39.3876167Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.3876455Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.3876626Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.3876781Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.3876934Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.3877033Z {
2022-11-23T02:04:39.3877178Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.3877276Z     {
2022-11-23T02:04:39.3877373Z         #pragma omp for 
2022-11-23T02:04:39.3877497Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T02:04:39.3877602Z         {
2022-11-23T02:04:39.3877733Z             #pragma GCC ivdep
2022-11-23T02:04:39.3877862Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:39.3877964Z             {
2022-11-23T02:04:39.3878065Z                 #pragma GCC ivdep
2022-11-23T02:04:39.3878200Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T02:04:39.3878307Z                 {
2022-11-23T02:04:39.3878413Z                     {
2022-11-23T02:04:39.3878518Z                         {
2022-11-23T02:04:39.3878687Z                             auto tmp0 = static_cast<int>(i2 + (4*i1));
2022-11-23T02:04:39.3878940Z                             auto tmp1 = static_cast<int>((-2) + i1);
2022-11-23T02:04:39.3879151Z                             auto tmp2 = static_cast<int>((-2) + i2);
2022-11-23T02:04:39.3879313Z                             auto tmp3 = static_cast<int>(3 + i1);
2022-11-23T02:04:39.3879477Z                             auto tmp4 = static_cast<int>(3 + i2);
2022-11-23T02:04:39.3879635Z                             auto tmp5 = static_cast<int>(0);
2022-11-23T02:04:39.3879829Z                             auto tmp6 = std::max(tmp1, tmp5);
2022-11-23T02:04:39.3879990Z                             auto tmp7 = std::max(tmp2, tmp5);
2022-11-23T02:04:39.3880143Z                             auto tmp8 = static_cast<int>(3);
2022-11-23T02:04:39.3880306Z                             auto tmp9 = std::min(tmp3, tmp8);
2022-11-23T02:04:39.3880437Z                             auto tmp10 = static_cast<int>(4);
2022-11-23T02:04:39.3880596Z                             auto tmp11 = std::min(tmp4, tmp10);
2022-11-23T02:04:39.3880740Z                             auto tmp12 = tmp6 + tmp5;
2022-11-23T02:04:39.3880882Z                             auto tmp13 = tmp7 + tmp5;
2022-11-23T02:04:39.3881031Z                             auto tmp14 = static_cast<int>(1);
2022-11-23T02:04:39.3881247Z                             auto tmp15 = tmp9 - tmp14;
2022-11-23T02:04:39.3881410Z                             auto tmp16 = std::min(tmp12, tmp15);
2022-11-23T02:04:39.3881625Z                             auto tmp17 = tmp11 - tmp14;
2022-11-23T02:04:39.3881852Z                             auto tmp18 = std::min(tmp13, tmp17);
2022-11-23T02:04:39.3882028Z                             auto tmp19 = in_ptr0[tmp18 + (4*tmp16) + (12*i0)];
2022-11-23T02:04:39.3882206Z                             auto tmp20 = in_ptr1[tmp18 + (4*tmp16) + (12*i0)];
2022-11-23T02:04:39.3882353Z                             auto tmp21 = tmp19 == tmp0;
2022-11-23T02:04:39.3882510Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T02:04:39.3882667Z                             auto tmp23 = tmp21 ? tmp20 : tmp22;
2022-11-23T02:04:39.3882812Z                             auto tmp24 = tmp7 + tmp14;
2022-11-23T02:04:39.3882978Z                             auto tmp25 = std::min(tmp24, tmp17);
2022-11-23T02:04:39.3883125Z                             auto tmp26 = in_ptr0[tmp25 + (4*tmp16) + (12*i0)];
2022-11-23T02:04:39.3883292Z                             auto tmp27 = in_ptr1[tmp25 + (4*tmp16) + (12*i0)];
2022-11-23T02:04:39.3883451Z                             auto tmp28 = tmp26 == tmp0;
2022-11-23T02:04:39.3883596Z                             auto tmp29 = tmp12 < tmp9;
2022-11-23T02:04:39.3883743Z                             auto tmp30 = tmp24 < tmp11;
2022-11-23T02:04:39.3883932Z                             auto tmp31 = tmp29 & tmp30;
2022-11-23T02:04:39.3884087Z                             auto tmp32 = tmp31 & tmp28;
2022-11-23T02:04:39.3884206Z                             auto tmp33 = tmp23 + tmp27;
2022-11-23T02:04:39.3884362Z                             auto tmp34 = tmp32 ? tmp33 : tmp23;
2022-11-23T02:04:39.3884513Z                             auto tmp35 = static_cast<int>(2);
2022-11-23T02:04:39.3884651Z                             auto tmp36 = tmp7 + tmp35;
2022-11-23T02:04:39.3884809Z                             auto tmp37 = std::min(tmp36, tmp17);
2022-11-23T02:04:39.3885091Z                             auto tmp38 = in_ptr0[tmp37 + (4*tmp16) + (12*i0)];
2022-11-23T02:04:39.3885258Z                             auto tmp39 = in_ptr1[tmp37 + (4*tmp16) + (12*i0)];
2022-11-23T02:04:39.3885403Z                             auto tmp40 = tmp38 == tmp0;
2022-11-23T02:04:39.3885525Z                             auto tmp41 = tmp36 < tmp11;
2022-11-23T02:04:39.3885669Z                             auto tmp42 = tmp29 & tmp41;
2022-11-23T02:04:39.3885808Z                             auto tmp43 = tmp42 & tmp40;
2022-11-23T02:04:39.3885940Z                             auto tmp44 = tmp34 + tmp39;
2022-11-23T02:04:39.3886090Z                             auto tmp45 = tmp43 ? tmp44 : tmp34;
2022-11-23T02:04:39.3886233Z                             auto tmp46 = tmp7 + tmp8;
2022-11-23T02:04:39.3886395Z                             auto tmp47 = std::min(tmp46, tmp17);
2022-11-23T02:04:39.3886562Z                             auto tmp48 = in_ptr0[tmp47 + (4*tmp16) + (12*i0)];
2022-11-23T02:04:39.3886711Z                             auto tmp49 = in_ptr1[tmp47 + (4*tmp16) + (12*i0)];
2022-11-23T02:04:39.3886849Z                             auto tmp50 = tmp48 == tmp0;
2022-11-23T02:04:39.3886993Z                             auto tmp51 = tmp46 < tmp11;
2022-11-23T02:04:39.3887132Z                             auto tmp52 = tmp29 & tmp51;
2022-11-23T02:04:39.3887269Z                             auto tmp53 = tmp52 & tmp50;
2022-11-23T02:04:39.3887407Z                             auto tmp54 = tmp45 + tmp49;
2022-11-23T02:04:39.3887559Z                             auto tmp55 = tmp53 ? tmp54 : tmp45;
2022-11-23T02:04:39.3887680Z                             auto tmp56 = tmp7 + tmp10;
2022-11-23T02:04:39.3887842Z                             auto tmp57 = std::min(tmp56, tmp17);
2022-11-23T02:04:39.3888008Z                             auto tmp58 = in_ptr0[tmp57 + (4*tmp16) + (12*i0)];
2022-11-23T02:04:39.3888173Z                             auto tmp59 = in_ptr1[tmp57 + (4*tmp16) + (12*i0)];
2022-11-23T02:04:39.3888314Z                             auto tmp60 = tmp58 == tmp0;
2022-11-23T02:04:39.3888454Z                             auto tmp61 = tmp56 < tmp11;
2022-11-23T02:04:39.3888652Z                             auto tmp62 = tmp29 & tmp61;
2022-11-23T02:04:39.3888790Z                             auto tmp63 = tmp62 & tmp60;
2022-11-23T02:04:39.3888908Z                             auto tmp64 = tmp55 + tmp59;
2022-11-23T02:04:39.3889070Z                             auto tmp65 = tmp63 ? tmp64 : tmp55;
2022-11-23T02:04:39.3889214Z                             auto tmp66 = tmp6 + tmp14;
2022-11-23T02:04:39.3889370Z                             auto tmp67 = std::min(tmp66, tmp15);
2022-11-23T02:04:39.3889535Z                             auto tmp68 = in_ptr0[tmp18 + (4*tmp67) + (12*i0)];
2022-11-23T02:04:39.3889698Z                             auto tmp69 = in_ptr1[tmp18 + (4*tmp67) + (12*i0)];
2022-11-23T02:04:39.3889838Z                             auto tmp70 = tmp68 == tmp0;
2022-11-23T02:04:39.3889977Z                             auto tmp71 = tmp66 < tmp9;
2022-11-23T02:04:39.3890097Z                             auto tmp72 = tmp13 < tmp11;
2022-11-23T02:04:39.3890239Z                             auto tmp73 = tmp71 & tmp72;
2022-11-23T02:04:39.3890374Z                             auto tmp74 = tmp73 & tmp70;
2022-11-23T02:04:39.3890512Z                             auto tmp75 = tmp65 + tmp69;
2022-11-23T02:04:39.3890712Z                             auto tmp76 = tmp74 ? tmp75 : tmp65;
2022-11-23T02:04:39.3890885Z                             auto tmp77 = in_ptr0[tmp25 + (4*tmp67) + (12*i0)];
2022-11-23T02:04:39.3891048Z                             auto tmp78 = in_ptr1[tmp25 + (4*tmp67) + (12*i0)];
2022-11-23T02:04:39.3891168Z                             auto tmp79 = tmp77 == tmp0;
2022-11-23T02:04:39.3891309Z                             auto tmp80 = tmp71 & tmp30;
2022-11-23T02:04:39.3891447Z                             auto tmp81 = tmp80 & tmp79;
2022-11-23T02:04:39.3891590Z                             auto tmp82 = tmp76 + tmp78;
2022-11-23T02:04:39.3891742Z                             auto tmp83 = tmp81 ? tmp82 : tmp76;
2022-11-23T02:04:39.3891904Z                             auto tmp84 = in_ptr0[tmp37 + (4*tmp67) + (12*i0)];
2022-11-23T02:04:39.3892072Z                             auto tmp85 = in_ptr1[tmp37 + (4*tmp67) + (12*i0)];
2022-11-23T02:04:39.3892211Z                             auto tmp86 = tmp84 == tmp0;
2022-11-23T02:04:39.3892330Z                             auto tmp87 = tmp71 & tmp41;
2022-11-23T02:04:39.3892468Z                             auto tmp88 = tmp87 & tmp86;
2022-11-23T02:04:39.3892607Z                             auto tmp89 = tmp83 + tmp85;
2022-11-23T02:04:39.3892758Z                             auto tmp90 = tmp88 ? tmp89 : tmp83;
2022-11-23T02:04:39.3892920Z                             auto tmp91 = in_ptr0[tmp47 + (4*tmp67) + (12*i0)];
2022-11-23T02:04:39.3893080Z                             auto tmp92 = in_ptr1[tmp47 + (4*tmp67) + (12*i0)];
2022-11-23T02:04:39.3893218Z                             auto tmp93 = tmp91 == tmp0;
2022-11-23T02:04:39.3893335Z                             auto tmp94 = tmp71 & tmp51;
2022-11-23T02:04:39.3893473Z                             auto tmp95 = tmp94 & tmp93;
2022-11-23T02:04:39.3893615Z                             auto tmp96 = tmp90 + tmp92;
2022-11-23T02:04:39.3893767Z                             auto tmp97 = tmp95 ? tmp96 : tmp90;
2022-11-23T02:04:39.3893934Z                             auto tmp98 = in_ptr0[tmp57 + (4*tmp67) + (12*i0)];
2022-11-23T02:04:39.3894101Z                             auto tmp99 = in_ptr1[tmp57 + (4*tmp67) + (12*i0)];
2022-11-23T02:04:39.3894248Z                             auto tmp100 = tmp98 == tmp0;
2022-11-23T02:04:39.3894389Z                             auto tmp101 = tmp71 & tmp61;
2022-11-23T02:04:39.3894517Z                             auto tmp102 = tmp101 & tmp100;
2022-11-23T02:04:39.3894655Z                             auto tmp103 = tmp97 + tmp99;
2022-11-23T02:04:39.3894808Z                             auto tmp104 = tmp102 ? tmp103 : tmp97;
2022-11-23T02:04:39.3894947Z                             auto tmp105 = tmp6 + tmp35;
2022-11-23T02:04:39.3895110Z                             auto tmp106 = std::min(tmp105, tmp15);
2022-11-23T02:04:39.3895386Z                             auto tmp107 = in_ptr0[tmp18 + (4*tmp106) + (12*i0)];
2022-11-23T02:04:39.3895561Z                             auto tmp108 = in_ptr1[tmp18 + (4*tmp106) + (12*i0)];
2022-11-23T02:04:39.3895717Z                             auto tmp109 = tmp107 == tmp0;
2022-11-23T02:04:39.3895842Z                             auto tmp110 = tmp105 < tmp9;
2022-11-23T02:04:39.3895991Z                             auto tmp111 = tmp110 & tmp72;
2022-11-23T02:04:39.3896617Z                             auto tmp112 = tmp111 & tmp109;
2022-11-23T02:04:39.3896854Z                             auto tmp113 = tmp104 + tmp108;
2022-11-23T02:04:39.3897102Z                             auto tmp114 = tmp112 ? tmp113 : tmp104;
2022-11-23T02:04:39.3897377Z                             auto tmp115 = in_ptr0[tmp25 + (4*tmp106) + (12*i0)];
2022-11-23T02:04:39.3897658Z                             auto tmp116 = in_ptr1[tmp25 + (4*tmp106) + (12*i0)];
2022-11-23T02:04:39.3897870Z                             auto tmp117 = tmp115 == tmp0;
2022-11-23T02:04:39.3898116Z                             auto tmp118 = tmp110 & tmp30;
2022-11-23T02:04:39.3898320Z                             auto tmp119 = tmp118 & tmp117;
2022-11-23T02:04:39.3898615Z                             auto tmp120 = tmp114 + tmp116;
2022-11-23T02:04:39.3898782Z                             auto tmp121 = tmp119 ? tmp120 : tmp114;
2022-11-23T02:04:39.3898956Z                             auto tmp122 = in_ptr0[tmp37 + (4*tmp106) + (12*i0)];
2022-11-23T02:04:39.3899125Z                             auto tmp123 = in_ptr1[tmp37 + (4*tmp106) + (12*i0)];
2022-11-23T02:04:39.3899269Z                             auto tmp124 = tmp122 == tmp0;
2022-11-23T02:04:39.3899389Z                             auto tmp125 = tmp110 & tmp41;
2022-11-23T02:04:39.3899538Z                             auto tmp126 = tmp125 & tmp124;
2022-11-23T02:04:39.3899686Z                             auto tmp127 = tmp121 + tmp123;
2022-11-23T02:04:39.3899848Z                             auto tmp128 = tmp126 ? tmp127 : tmp121;
2022-11-23T02:04:39.3900017Z                             auto tmp129 = in_ptr0[tmp47 + (4*tmp106) + (12*i0)];
2022-11-23T02:04:39.3900190Z                             auto tmp130 = in_ptr1[tmp47 + (4*tmp106) + (12*i0)];
2022-11-23T02:04:39.3900340Z                             auto tmp131 = tmp129 == tmp0;
2022-11-23T02:04:39.3900484Z                             auto tmp132 = tmp110 & tmp51;
2022-11-23T02:04:39.3900608Z                             auto tmp133 = tmp132 & tmp131;
2022-11-23T02:04:39.3900751Z                             auto tmp134 = tmp128 + tmp130;
2022-11-23T02:04:39.3900910Z                             auto tmp135 = tmp133 ? tmp134 : tmp128;
2022-11-23T02:04:39.3901076Z                             auto tmp136 = in_ptr0[tmp57 + (4*tmp106) + (12*i0)];
2022-11-23T02:04:39.3901240Z                             auto tmp137 = in_ptr1[tmp57 + (4*tmp106) + (12*i0)];
2022-11-23T02:04:39.3901386Z                             auto tmp138 = tmp136 == tmp0;
2022-11-23T02:04:39.3901530Z                             auto tmp139 = tmp110 & tmp61;
2022-11-23T02:04:39.3901651Z                             auto tmp140 = tmp139 & tmp138;
2022-11-23T02:04:39.3901796Z                             auto tmp141 = tmp135 + tmp137;
2022-11-23T02:04:39.3901950Z                             auto tmp142 = tmp140 ? tmp141 : tmp135;
2022-11-23T02:04:39.3902094Z                             auto tmp143 = tmp6 + tmp8;
2022-11-23T02:04:39.3902259Z                             auto tmp144 = std::min(tmp143, tmp15);
2022-11-23T02:04:39.3902432Z                             auto tmp145 = in_ptr0[tmp18 + (4*tmp144) + (12*i0)];
2022-11-23T02:04:39.3902596Z                             auto tmp146 = in_ptr1[tmp18 + (4*tmp144) + (12*i0)];
2022-11-23T02:04:39.3902736Z                             auto tmp147 = tmp145 == tmp0;
2022-11-23T02:04:39.3902858Z                             auto tmp148 = tmp143 < tmp9;
2022-11-23T02:04:39.3903004Z                             auto tmp149 = tmp148 & tmp72;
2022-11-23T02:04:39.3903246Z                             auto tmp150 = tmp149 & tmp147;
2022-11-23T02:04:39.3903392Z                             auto tmp151 = tmp142 + tmp146;
2022-11-23T02:04:39.3903556Z                             auto tmp152 = tmp150 ? tmp151 : tmp142;
2022-11-23T02:04:39.3903733Z                             auto tmp153 = in_ptr0[tmp25 + (4*tmp144) + (12*i0)];
2022-11-23T02:04:39.3903905Z                             auto tmp154 = in_ptr1[tmp25 + (4*tmp144) + (12*i0)];
2022-11-23T02:04:39.3904047Z                             auto tmp155 = tmp153 == tmp0;
2022-11-23T02:04:39.3904166Z                             auto tmp156 = tmp148 & tmp30;
2022-11-23T02:04:39.3904312Z                             auto tmp157 = tmp156 & tmp155;
2022-11-23T02:04:39.3904455Z                             auto tmp158 = tmp152 + tmp154;
2022-11-23T02:04:39.3904614Z                             auto tmp159 = tmp157 ? tmp158 : tmp152;
2022-11-23T02:04:39.3904783Z                             auto tmp160 = in_ptr0[tmp37 + (4*tmp144) + (12*i0)];
2022-11-23T02:04:39.3904957Z                             auto tmp161 = in_ptr1[tmp37 + (4*tmp144) + (12*i0)];
2022-11-23T02:04:39.3905101Z                             auto tmp162 = tmp160 == tmp0;
2022-11-23T02:04:39.3905334Z                             auto tmp163 = tmp148 & tmp41;
2022-11-23T02:04:39.3905466Z                             auto tmp164 = tmp163 & tmp162;
2022-11-23T02:04:39.3905611Z                             auto tmp165 = tmp159 + tmp161;
2022-11-23T02:04:39.3905770Z                             auto tmp166 = tmp164 ? tmp165 : tmp159;
2022-11-23T02:04:39.3905933Z                             auto tmp167 = in_ptr0[tmp47 + (4*tmp144) + (12*i0)];
2022-11-23T02:04:39.3906100Z                             auto tmp168 = in_ptr1[tmp47 + (4*tmp144) + (12*i0)];
2022-11-23T02:04:39.3906248Z                             auto tmp169 = tmp167 == tmp0;
2022-11-23T02:04:39.3906395Z                             auto tmp170 = tmp148 & tmp51;
2022-11-23T02:04:39.3906521Z                             auto tmp171 = tmp170 & tmp169;
2022-11-23T02:04:39.3906670Z                             auto tmp172 = tmp166 + tmp168;
2022-11-23T02:04:39.3906824Z                             auto tmp173 = tmp171 ? tmp172 : tmp166;
2022-11-23T02:04:39.3906992Z                             auto tmp174 = in_ptr0[tmp57 + (4*tmp144) + (12*i0)];
2022-11-23T02:04:39.3907156Z                             auto tmp175 = in_ptr1[tmp57 + (4*tmp144) + (12*i0)];
2022-11-23T02:04:39.3907302Z                             auto tmp176 = tmp174 == tmp0;
2022-11-23T02:04:39.3907446Z                             auto tmp177 = tmp148 & tmp61;
2022-11-23T02:04:39.3907595Z                             auto tmp178 = tmp177 & tmp176;
2022-11-23T02:04:39.3907716Z                             auto tmp179 = tmp173 + tmp175;
2022-11-23T02:04:39.3907866Z                             auto tmp180 = tmp178 ? tmp179 : tmp173;
2022-11-23T02:04:39.3908012Z                             auto tmp181 = tmp6 + tmp10;
2022-11-23T02:04:39.3908182Z                             auto tmp182 = std::min(tmp181, tmp15);
2022-11-23T02:04:39.3908354Z                             auto tmp183 = in_ptr0[tmp18 + (4*tmp182) + (12*i0)];
2022-11-23T02:04:39.3908523Z                             auto tmp184 = in_ptr1[tmp18 + (4*tmp182) + (12*i0)];
2022-11-23T02:04:39.3908676Z                             auto tmp185 = tmp183 == tmp0;
2022-11-23T02:04:39.3908820Z                             auto tmp186 = tmp181 < tmp9;
2022-11-23T02:04:39.3908942Z                             auto tmp187 = tmp186 & tmp72;
2022-11-23T02:04:39.3909090Z                             auto tmp188 = tmp187 & tmp185;
2022-11-23T02:04:39.3909237Z                             auto tmp189 = tmp180 + tmp184;
2022-11-23T02:04:39.3909397Z                             auto tmp190 = tmp188 ? tmp189 : tmp180;
2022-11-23T02:04:39.3909566Z                             auto tmp191 = in_ptr0[tmp25 + (4*tmp182) + (12*i0)];
2022-11-23T02:04:39.3909729Z                             auto tmp192 = in_ptr1[tmp25 + (4*tmp182) + (12*i0)];
2022-11-23T02:04:39.3909937Z                             auto tmp193 = tmp191 == tmp0;
2022-11-23T02:04:39.3910059Z                             auto tmp194 = tmp186 & tmp30;
2022-11-23T02:04:39.3910208Z                             auto tmp195 = tmp194 & tmp193;
2022-11-23T02:04:39.3910363Z                             auto tmp196 = tmp190 + tmp192;
2022-11-23T02:04:39.3910525Z                             auto tmp197 = tmp195 ? tmp196 : tmp190;
2022-11-23T02:04:39.3910688Z                             auto tmp198 = in_ptr0[tmp37 + (4*tmp182) + (12*i0)];
2022-11-23T02:04:39.3910855Z                             auto tmp199 = in_ptr1[tmp37 + (4*tmp182) + (12*i0)];
2022-11-23T02:04:39.3911004Z                             auto tmp200 = tmp198 == tmp0;
2022-11-23T02:04:39.3911150Z                             auto tmp201 = tmp186 & tmp41;
2022-11-23T02:04:39.3911274Z                             auto tmp202 = tmp201 & tmp200;
2022-11-23T02:04:39.3911420Z                             auto tmp203 = tmp197 + tmp199;
2022-11-23T02:04:39.3911579Z                             auto tmp204 = tmp202 ? tmp203 : tmp197;
2022-11-23T02:04:39.3911751Z                             auto tmp205 = in_ptr0[tmp47 + (4*tmp182) + (12*i0)];
2022-11-23T02:04:39.3911958Z                             auto tmp206 = in_ptr1[tmp47 + (4*tmp182) + (12*i0)];
2022-11-23T02:04:39.3912111Z                             auto tmp207 = tmp205 == tmp0;
2022-11-23T02:04:39.3912261Z                             auto tmp208 = tmp186 & tmp51;
2022-11-23T02:04:39.3912408Z                             auto tmp209 = tmp208 & tmp207;
2022-11-23T02:04:39.3912532Z                             auto tmp210 = tmp204 + tmp206;
2022-11-23T02:04:39.3912691Z                             auto tmp211 = tmp209 ? tmp210 : tmp204;
2022-11-23T02:04:39.3912859Z                             auto tmp212 = in_ptr0[tmp57 + (4*tmp182) + (12*i0)];
2022-11-23T02:04:39.3913022Z                             auto tmp213 = in_ptr1[tmp57 + (4*tmp182) + (12*i0)];
2022-11-23T02:04:39.3913171Z                             auto tmp214 = tmp212 == tmp0;
2022-11-23T02:04:39.3913315Z                             auto tmp215 = tmp186 & tmp61;
2022-11-23T02:04:39.3913460Z                             auto tmp216 = tmp215 & tmp214;
2022-11-23T02:04:39.3913612Z                             auto tmp217 = tmp211 + tmp213;
2022-11-23T02:04:39.3913746Z                             auto tmp218 = tmp216 ? tmp217 : tmp211;
2022-11-23T02:04:39.3913904Z                             out_ptr0[i2 + (4*i1) + (12*i0)] = tmp218;
2022-11-23T02:04:39.3914011Z                         }
2022-11-23T02:04:39.3914118Z                     }
2022-11-23T02:04:39.3914224Z                 }
2022-11-23T02:04:39.3914326Z             }
2022-11-23T02:04:39.3914404Z         }
2022-11-23T02:04:39.3914506Z     }
2022-11-23T02:04:39.3914602Z }
2022-11-23T02:04:39.3914813Z ''')
2022-11-23T02:04:39.3914838Z 
2022-11-23T02:04:39.3914857Z 
2022-11-23T02:04:39.3914999Z async_compile.wait(globals())
2022-11-23T02:04:39.3915111Z del async_compile
2022-11-23T02:04:39.3915135Z 
2022-11-23T02:04:39.3915253Z def call(args):
2022-11-23T02:04:39.3915379Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.3915468Z     args.clear()
2022-11-23T02:04:39.3915794Z     buf0 = empty_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3916031Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.3916137Z     del arg0_1
2022-11-23T02:04:39.3916238Z     del arg2_1
2022-11-23T02:04:39.3916351Z     return (buf0, )
2022-11-23T02:04:39.3916372Z 
2022-11-23T02:04:39.3916390Z 
2022-11-23T02:04:39.3916507Z if __name__ == "__main__":
2022-11-23T02:04:39.3916652Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3916836Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3917137Z     arg0_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3917426Z     arg1_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3917781Z     arg2_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.3917957Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.3918453Z [2022-11-23 01:57:03,289] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7f/c7fnoq7zl4djrmj7qmr57y2fjcclflwzx37jv3z2rpl7dqk6qwh5.py
2022-11-23T02:04:39.3918817Z [2022-11-23 01:57:03,289] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 240
2022-11-23T02:04:39.3918837Z 
2022-11-23T02:04:39.3918942Z ok (3.076s)
2022-11-23T02:04:39.3919385Z   test_max_pool2d_with_indices_backward5_cpu (__main__.CpuTests) ... [2022-11-23 01:57:03,306] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3919813Z [2022-11-23 01:57:03,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.3920114Z [2022-11-23 01:57:03,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.3920504Z [2022-11-23 01:57:03,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.3920890Z [2022-11-23 01:57:03,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.3921319Z [2022-11-23 01:57:03,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3921782Z [2022-11-23 01:57:03,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3922215Z [2022-11-23 01:57:03,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3922728Z [2022-11-23 01:57:03,307] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f7a760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4010> 
2022-11-23T02:04:39.3922930Z  4011           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.3923098Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T02:04:39.3923138Z 
2022-11-23T02:04:39.3923255Z 4012           4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.3923387Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.3923519Z                8 LOAD_CONST               1 (13)
2022-11-23T02:04:39.3923651Z               10 LOAD_CONST               1 (13)
2022-11-23T02:04:39.3923784Z               12 BUILD_LIST               2
2022-11-23T02:04:39.3923916Z               14 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3924047Z               16 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3924156Z               18 BUILD_LIST               2
2022-11-23T02:04:39.3924292Z               20 LOAD_CONST               3 (2)
2022-11-23T02:04:39.3924425Z               22 LOAD_CONST               3 (2)
2022-11-23T02:04:39.3924554Z               24 BUILD_LIST               2
2022-11-23T02:04:39.3924680Z               26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3924806Z               28 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3924930Z               30 BUILD_LIST               2
2022-11-23T02:04:39.3925045Z               32 LOAD_CONST               4 (False)
2022-11-23T02:04:39.3925173Z               34 LOAD_FAST                2 (c)
2022-11-23T02:04:39.3925193Z 
2022-11-23T02:04:39.3925319Z 4011          36 CALL_METHOD              8
2022-11-23T02:04:39.3925432Z               38 RETURN_VALUE
2022-11-23T02:04:39.3925527Z  
2022-11-23T02:04:39.3925546Z 
2022-11-23T02:04:39.3925988Z [2022-11-23 01:57:03,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4011
2022-11-23T02:04:39.3926351Z [2022-11-23 01:57:03,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.3926822Z [2022-11-23 01:57:03,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.3927250Z [2022-11-23 01:57:03,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4012
2022-11-23T02:04:39.3927627Z [2022-11-23 01:57:03,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T02:04:39.3928059Z [2022-11-23 01:57:03,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T02:04:39.3928531Z [2022-11-23 01:57:03,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3929046Z [2022-11-23 01:57:03,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3929654Z [2022-11-23 01:57:03,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3930161Z [2022-11-23 01:57:03,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.3930706Z [2022-11-23 01:57:03,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3931311Z [2022-11-23 01:57:03,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3931846Z [2022-11-23 01:57:03,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3932427Z [2022-11-23 01:57:03,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3933056Z [2022-11-23 01:57:03,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3933615Z [2022-11-23 01:57:03,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3934223Z [2022-11-23 01:57:03,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3934882Z [2022-11-23 01:57:03,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3935480Z [2022-11-23 01:57:03,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3936740Z [2022-11-23 01:57:03,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.3937530Z [2022-11-23 01:57:03,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4011
2022-11-23T02:04:39.3938467Z [2022-11-23 01:57:03,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T02:04:39.3938812Z [2022-11-23 01:57:03,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.3939322Z [2022-11-23 01:57:03,320] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f7a760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4010>
2022-11-23T02:04:39.3939801Z [2022-11-23 01:57:03,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.3940135Z [2022-11-23 01:57:03,320] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3940480Z [2022-11-23 01:57:03,322] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.3940816Z [2022-11-23 01:57:03,327] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.3941074Z [2022-11-23 01:57:03,327] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3941263Z  __compiled_fn_248 <eval_with_key>.1965 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3941395Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.3941508Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.3941632Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.3941907Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [13, 13], [1, 1], [2, 2], [1, 1], False, ex_2_), {}
2022-11-23T02:04:39.3942095Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T02:04:39.3942121Z 
2022-11-23T02:04:39.3942559Z [2022-11-23 01:57:03,328] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3942696Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.3942828Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3942956Z               4 BUILD_MAP                0
2022-11-23T02:04:39.3943073Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.3943195Z               8 DICT_MERGE               1
2022-11-23T02:04:39.3943331Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.3943446Z              12 RETURN_VALUE
2022-11-23T02:04:39.3943466Z 
2022-11-23T02:04:39.3943558Z  
2022-11-23T02:04:39.3944062Z [2022-11-23 01:57:03,328] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3944218Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_248)
2022-11-23T02:04:39.3944350Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3944462Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3944578Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.3944706Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3944836Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3944950Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.3945079Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3945208Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.3945402Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.3945529Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.3945662Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.3945774Z              24 RETURN_VALUE
2022-11-23T02:04:39.3945794Z 
2022-11-23T02:04:39.3945891Z  
2022-11-23T02:04:39.3946149Z [2022-11-23 01:57:03,329] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3946256Z  - 
2022-11-23T02:04:39.3946409Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.3946507Z             {
2022-11-23T02:04:39.3946704Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.3946961Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.3947129Z                 'obj_weakref': None
2022-11-23T02:04:39.3947439Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.3947537Z             }
2022-11-23T02:04:39.3947620Z             
2022-11-23T02:04:39.3947726Z  - 
2022-11-23T02:04:39.3947938Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.3948057Z             {
2022-11-23T02:04:39.3948221Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3948385Z                 'code': None,
2022-11-23T02:04:39.3948696Z                 'obj_weakref': <weakref at 0x7fa51c363740; to 'Tensor' at 0x7fa51c352660>
2022-11-23T02:04:39.3949028Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3949128Z             }
2022-11-23T02:04:39.3949224Z             
2022-11-23T02:04:39.3949331Z  - 
2022-11-23T02:04:39.3949506Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.3949602Z             {
2022-11-23T02:04:39.3949799Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3949933Z                 'code': None,
2022-11-23T02:04:39.3950217Z                 'obj_weakref': <weakref at 0x7fa51c3bc8b0; to 'Tensor' at 0x7fa532160360>
2022-11-23T02:04:39.3950566Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3950661Z             }
2022-11-23T02:04:39.3950757Z             
2022-11-23T02:04:39.3950862Z  - 
2022-11-23T02:04:39.3951037Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.3951115Z             {
2022-11-23T02:04:39.3951315Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3951465Z                 'code': None,
2022-11-23T02:04:39.3951749Z                 'obj_weakref': <weakref at 0x7fa51c3d4a90; to 'Tensor' at 0x7fa51c24d300>
2022-11-23T02:04:39.3952088Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3952186Z             }
2022-11-23T02:04:39.3952281Z             
2022-11-23T02:04:39.3952367Z  - 
2022-11-23T02:04:39.3952551Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.3952650Z             {
2022-11-23T02:04:39.3952841Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3953069Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.3953240Z                 'obj_weakref': None
2022-11-23T02:04:39.3953550Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.3953629Z             }
2022-11-23T02:04:39.3953723Z             
2022-11-23T02:04:39.3953828Z  - 
2022-11-23T02:04:39.3954001Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.3954098Z             {
2022-11-23T02:04:39.3954287Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.3954576Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.3954724Z                 'obj_weakref': None
2022-11-23T02:04:39.3955028Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.3955126Z             }
2022-11-23T02:04:39.3955323Z             
2022-11-23T02:04:39.3955429Z  - 
2022-11-23T02:04:39.3955615Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.3955713Z             {
2022-11-23T02:04:39.3955863Z                 'guard_types': None,
2022-11-23T02:04:39.3956026Z                 'code': None,
2022-11-23T02:04:39.3956196Z                 'obj_weakref': None
2022-11-23T02:04:39.3956363Z                 'guarded_class': None
2022-11-23T02:04:39.3956456Z             }
2022-11-23T02:04:39.3956553Z             
2022-11-23T02:04:39.3956909Z [2022-11-23 01:57:03,339] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 241
2022-11-23T02:04:39.3957246Z [2022-11-23 01:57:03,344] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices_backward
2022-11-23T02:04:39.3957735Z [2022-11-23 01:57:03,349] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fu/cfux5xyoy7kdgjialfvxmlfwnlwio22747wkgi6cmiyqorlc2evs.py
2022-11-23T02:04:39.3958102Z [2022-11-23 01:57:03,349] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 241
2022-11-23T02:04:39.3958124Z 
2022-11-23T02:04:39.3958263Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.3958368Z import torch
2022-11-23T02:04:39.3958533Z import random
2022-11-23T02:04:39.3958703Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.3958875Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.3958947Z 
2022-11-23T02:04:39.3959035Z aten = torch.ops.aten
2022-11-23T02:04:39.3959200Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.3959321Z async_compile = AsyncCompile()
2022-11-23T02:04:39.3959390Z 
2022-11-23T02:04:39.3959409Z 
2022-11-23T02:04:39.3959491Z async_compile.wait(globals())
2022-11-23T02:04:39.3959603Z del async_compile
2022-11-23T02:04:39.3959620Z 
2022-11-23T02:04:39.3959727Z def call(args):
2022-11-23T02:04:39.3959850Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.3960010Z     args.clear()
2022-11-23T02:04:39.3960165Z     buf0 = aten.max_pool2d_with_indices_backward(arg0_1, arg1_1, [13, 13], [1, 1], [2, 2], [1, 1], False, arg2_1)
2022-11-23T02:04:39.3960316Z     del arg0_1
2022-11-23T02:04:39.3960414Z     del arg1_1
2022-11-23T02:04:39.3960472Z     del arg2_1
2022-11-23T02:04:39.3960580Z     buf1 = buf0
2022-11-23T02:04:39.3960736Z     assert_size_stride(buf1, (2, 64, 20, 20), (25600, 400, 20, 1))
2022-11-23T02:04:39.3960836Z     del buf0
2022-11-23T02:04:39.3960924Z     return (buf1, )
2022-11-23T02:04:39.3960944Z 
2022-11-23T02:04:39.3960962Z 
2022-11-23T02:04:39.3961079Z if __name__ == "__main__":
2022-11-23T02:04:39.3961239Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.3961411Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.3961727Z     arg0_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3962028Z     arg1_1 = rand_strided((2, 64, 20, 20), (25600, 400, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.3962323Z     arg2_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.3962498Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.3962518Z 
2022-11-23T02:04:39.3962605Z ok (0.054s)
2022-11-23T02:04:39.3963061Z   test_max_pool2d_with_indices_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:57:03,358] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.3963483Z [2022-11-23 01:57:03,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.3963779Z [2022-11-23 01:57:03,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.3964118Z [2022-11-23 01:57:03,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.3964491Z [2022-11-23 01:57:03,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.3964999Z [2022-11-23 01:57:03,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3965462Z [2022-11-23 01:57:03,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3965900Z [2022-11-23 01:57:03,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.3966404Z [2022-11-23 01:57:03,359] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f7a130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3907> 
2022-11-23T02:04:39.3966550Z  3908           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.3966713Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T02:04:39.3966737Z 
2022-11-23T02:04:39.3966870Z 3909           4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.3967001Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.3967187Z                8 LOAD_CONST               1 (2)
2022-11-23T02:04:39.3967323Z               10 LOAD_CONST               1 (2)
2022-11-23T02:04:39.3967458Z               12 BUILD_LIST               2
2022-11-23T02:04:39.3967588Z               14 LOAD_CONST               1 (2)
2022-11-23T02:04:39.3967699Z               16 LOAD_CONST               1 (2)
2022-11-23T02:04:39.3967827Z               18 BUILD_LIST               2
2022-11-23T02:04:39.3967956Z               20 LOAD_CONST               2 (0)
2022-11-23T02:04:39.3968084Z               22 LOAD_CONST               2 (0)
2022-11-23T02:04:39.3968209Z               24 BUILD_LIST               2
2022-11-23T02:04:39.3968336Z               26 LOAD_CONST               3 (1)
2022-11-23T02:04:39.3968470Z               28 LOAD_CONST               3 (1)
2022-11-23T02:04:39.3968576Z               30 BUILD_LIST               2
2022-11-23T02:04:39.3968716Z               32 LOAD_CONST               4 (False)
2022-11-23T02:04:39.3968844Z               34 LOAD_FAST                2 (c)
2022-11-23T02:04:39.3968867Z 
2022-11-23T02:04:39.3968995Z 3908          36 CALL_METHOD              8
2022-11-23T02:04:39.3969105Z               38 RETURN_VALUE
2022-11-23T02:04:39.3969196Z  
2022-11-23T02:04:39.3969216Z 
2022-11-23T02:04:39.3969647Z [2022-11-23 01:57:03,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3908
2022-11-23T02:04:39.3969945Z [2022-11-23 01:57:03,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.3970414Z [2022-11-23 01:57:03,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.3970824Z [2022-11-23 01:57:03,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3909
2022-11-23T02:04:39.3971221Z [2022-11-23 01:57:03,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T02:04:39.3971651Z [2022-11-23 01:57:03,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T02:04:39.3972113Z [2022-11-23 01:57:03,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.3972625Z [2022-11-23 01:57:03,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3973198Z [2022-11-23 01:57:03,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3973776Z [2022-11-23 01:57:03,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.3974326Z [2022-11-23 01:57:03,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3974919Z [2022-11-23 01:57:03,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3975448Z [2022-11-23 01:57:03,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3976585Z [2022-11-23 01:57:03,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3977768Z [2022-11-23 01:57:03,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3978494Z [2022-11-23 01:57:03,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3979109Z [2022-11-23 01:57:03,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.3979773Z [2022-11-23 01:57:03,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.3980380Z [2022-11-23 01:57:03,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.3981019Z [2022-11-23 01:57:03,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.3981425Z [2022-11-23 01:57:03,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3908
2022-11-23T02:04:39.3982112Z [2022-11-23 01:57:03,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T02:04:39.3982445Z [2022-11-23 01:57:03,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.3982948Z [2022-11-23 01:57:03,372] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f7a130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3907>
2022-11-23T02:04:39.3983280Z [2022-11-23 01:57:03,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.3983730Z [2022-11-23 01:57:03,372] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.3984079Z [2022-11-23 01:57:03,374] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.3984418Z [2022-11-23 01:57:03,379] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.3984683Z [2022-11-23 01:57:03,379] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.3984872Z  __compiled_fn_249 <eval_with_key>.1971 opcode, name, target, args, kwargs
2022-11-23T02:04:39.3985033Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.3985162Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.3985287Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.3985556Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [2, 2], [2, 2], [0, 0], [1, 1], False, ex_2_), {}
2022-11-23T02:04:39.3985744Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T02:04:39.3985772Z 
2022-11-23T02:04:39.3986207Z [2022-11-23 01:57:03,380] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3986404Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.3986544Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3986654Z               4 BUILD_MAP                0
2022-11-23T02:04:39.3986796Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.3986921Z               8 DICT_MERGE               1
2022-11-23T02:04:39.3987051Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.3987164Z              12 RETURN_VALUE
2022-11-23T02:04:39.3987184Z 
2022-11-23T02:04:39.3987277Z  
2022-11-23T02:04:39.3987714Z [2022-11-23 01:57:03,380] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.3987875Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_249)
2022-11-23T02:04:39.3987987Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3988122Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.3988240Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.3988371Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3988497Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.3988610Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.3988738Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.3988846Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.3988958Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.3989089Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.3989221Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.3989331Z              24 RETURN_VALUE
2022-11-23T02:04:39.3989350Z 
2022-11-23T02:04:39.3989441Z  
2022-11-23T02:04:39.3989696Z [2022-11-23 01:57:03,382] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.3989788Z  - 
2022-11-23T02:04:39.3989954Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.3990054Z             {
2022-11-23T02:04:39.3990249Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.3990512Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.3990683Z                 'obj_weakref': None
2022-11-23T02:04:39.3990990Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.3991089Z             }
2022-11-23T02:04:39.3991167Z             
2022-11-23T02:04:39.3991273Z  - 
2022-11-23T02:04:39.3991446Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.3991543Z             {
2022-11-23T02:04:39.3991742Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3991893Z                 'code': None,
2022-11-23T02:04:39.3992161Z                 'obj_weakref': <weakref at 0x7fa51c53fa60; to 'Tensor' at 0x7fa5246421b0>
2022-11-23T02:04:39.3992574Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3992672Z             }
2022-11-23T02:04:39.3992764Z             
2022-11-23T02:04:39.3992874Z  - 
2022-11-23T02:04:39.3993047Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.3993142Z             {
2022-11-23T02:04:39.3993319Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3993472Z                 'code': None,
2022-11-23T02:04:39.3993758Z                 'obj_weakref': <weakref at 0x7fa51c15bf60; to 'Tensor' at 0x7fa532160360>
2022-11-23T02:04:39.3994099Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3994256Z             }
2022-11-23T02:04:39.3994356Z             
2022-11-23T02:04:39.3994462Z  - 
2022-11-23T02:04:39.3994616Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.3994717Z             {
2022-11-23T02:04:39.3994914Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.3995068Z                 'code': None,
2022-11-23T02:04:39.3995352Z                 'obj_weakref': <weakref at 0x7fa51c15bf10; to 'Tensor' at 0x7fa51c24d300>
2022-11-23T02:04:39.3995744Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.3995851Z             }
2022-11-23T02:04:39.3995947Z             
2022-11-23T02:04:39.3996036Z  - 
2022-11-23T02:04:39.3996218Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.3996313Z             {
2022-11-23T02:04:39.3996500Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.3996732Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.3996901Z                 'obj_weakref': None
2022-11-23T02:04:39.3997212Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.3997295Z             }
2022-11-23T02:04:39.3997393Z             
2022-11-23T02:04:39.3997499Z  - 
2022-11-23T02:04:39.3997671Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.3997765Z             {
2022-11-23T02:04:39.3997955Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.3998230Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.3998399Z                 'obj_weakref': None
2022-11-23T02:04:39.3998702Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.3998803Z             }
2022-11-23T02:04:39.3998908Z             
2022-11-23T02:04:39.3999012Z  - 
2022-11-23T02:04:39.3999196Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.3999273Z             {
2022-11-23T02:04:39.3999442Z                 'guard_types': None,
2022-11-23T02:04:39.3999597Z                 'code': None,
2022-11-23T02:04:39.3999763Z                 'obj_weakref': None
2022-11-23T02:04:39.3999945Z                 'guarded_class': None
2022-11-23T02:04:39.4000042Z             }
2022-11-23T02:04:39.4000137Z             
2022-11-23T02:04:39.4000473Z [2022-11-23 01:57:03,393] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 242
2022-11-23T02:04:39.4001037Z [2022-11-23 01:57:06,076] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lw/clwpayip6jdgonbdhsnbp5ruv6mm643kxbz54hr5s4xdj7utq4qf.py
2022-11-23T02:04:39.4001398Z [2022-11-23 01:57:06,076] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 242
2022-11-23T02:04:39.4001419Z 
2022-11-23T02:04:39.4001554Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.4001659Z import torch
2022-11-23T02:04:39.4001763Z import random
2022-11-23T02:04:39.4001934Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.4002104Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.4002123Z 
2022-11-23T02:04:39.4002295Z aten = torch.ops.aten
2022-11-23T02:04:39.4002485Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.4002618Z async_compile = AsyncCompile()
2022-11-23T02:04:39.4002637Z 
2022-11-23T02:04:39.4002655Z 
2022-11-23T02:04:39.4002848Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.4003129Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.4003295Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.4003445Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.4003585Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.4003661Z {
2022-11-23T02:04:39.4003804Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.4003901Z     {
2022-11-23T02:04:39.4004019Z         #pragma omp for 
2022-11-23T02:04:39.4004137Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.4004233Z         {
2022-11-23T02:04:39.4004357Z             #pragma GCC ivdep
2022-11-23T02:04:39.4004465Z             for(long i1=0; i1<18; i1+=1)
2022-11-23T02:04:39.4004563Z             {
2022-11-23T02:04:39.4004683Z                 #pragma GCC ivdep
2022-11-23T02:04:39.4004817Z                 for(long i2=0; i2<14; i2+=1)
2022-11-23T02:04:39.4004970Z                 {
2022-11-23T02:04:39.4005078Z                     {
2022-11-23T02:04:39.4005183Z                         {
2022-11-23T02:04:39.4005327Z                             auto tmp0 = static_cast<int>(i2 + (14*i1));
2022-11-23T02:04:39.4005480Z                             auto tmp1 = static_cast<int>((i1 / 2));
2022-11-23T02:04:39.4005632Z                             auto tmp2 = static_cast<int>((i2 / 2));
2022-11-23T02:04:39.4005869Z                             auto tmp3 = static_cast<int>(1 + (i1 / 2));
2022-11-23T02:04:39.4006032Z                             auto tmp4 = static_cast<int>(1 + (i2 / 2));
2022-11-23T02:04:39.4006185Z                             auto tmp5 = static_cast<int>(0);
2022-11-23T02:04:39.4006376Z                             auto tmp6 = std::max(tmp1, tmp5);
2022-11-23T02:04:39.4006513Z                             auto tmp7 = std::max(tmp2, tmp5);
2022-11-23T02:04:39.4006664Z                             auto tmp8 = static_cast<int>(9);
2022-11-23T02:04:39.4006818Z                             auto tmp9 = std::min(tmp3, tmp8);
2022-11-23T02:04:39.4006967Z                             auto tmp10 = static_cast<int>(7);
2022-11-23T02:04:39.4007121Z                             auto tmp11 = std::min(tmp4, tmp10);
2022-11-23T02:04:39.4007261Z                             auto tmp12 = tmp6 + tmp5;
2022-11-23T02:04:39.4007399Z                             auto tmp13 = tmp7 + tmp5;
2022-11-23T02:04:39.4007549Z                             auto tmp14 = static_cast<int>(1);
2022-11-23T02:04:39.4007752Z                             auto tmp15 = tmp9 - tmp14;
2022-11-23T02:04:39.4007911Z                             auto tmp16 = std::min(tmp12, tmp15);
2022-11-23T02:04:39.4008117Z                             auto tmp17 = tmp11 - tmp14;
2022-11-23T02:04:39.4008279Z                             auto tmp18 = std::min(tmp13, tmp17);
2022-11-23T02:04:39.4008442Z                             auto tmp19 = in_ptr0[tmp18 + (7*tmp16) + (63*i0)];
2022-11-23T02:04:39.4008611Z                             auto tmp20 = in_ptr1[tmp18 + (7*tmp16) + (63*i0)];
2022-11-23T02:04:39.4008757Z                             auto tmp21 = tmp19 == tmp0;
2022-11-23T02:04:39.4008916Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T02:04:39.4009046Z                             auto tmp23 = tmp21 ? tmp20 : tmp22;
2022-11-23T02:04:39.4009197Z                             out_ptr0[i2 + (14*i1) + (252*i0)] = tmp23;
2022-11-23T02:04:39.4009299Z                         }
2022-11-23T02:04:39.4009399Z                     }
2022-11-23T02:04:39.4009497Z                 }
2022-11-23T02:04:39.4009593Z             }
2022-11-23T02:04:39.4009689Z         }
2022-11-23T02:04:39.4009763Z     }
2022-11-23T02:04:39.4009852Z }
2022-11-23T02:04:39.4010031Z ''')
2022-11-23T02:04:39.4010051Z 
2022-11-23T02:04:39.4010071Z 
2022-11-23T02:04:39.4010205Z async_compile.wait(globals())
2022-11-23T02:04:39.4010314Z del async_compile
2022-11-23T02:04:39.4010333Z 
2022-11-23T02:04:39.4010438Z def call(args):
2022-11-23T02:04:39.4010564Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.4010654Z     args.clear()
2022-11-23T02:04:39.4010953Z     buf0 = empty_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4011183Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.4011287Z     del arg0_1
2022-11-23T02:04:39.4011387Z     del arg2_1
2022-11-23T02:04:39.4011494Z     return (buf0, )
2022-11-23T02:04:39.4011514Z 
2022-11-23T02:04:39.4011533Z 
2022-11-23T02:04:39.4011645Z if __name__ == "__main__":
2022-11-23T02:04:39.4011807Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.4011964Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.4012261Z     arg0_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4012563Z     arg1_1 = rand_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4012904Z     arg2_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.4013085Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.4013105Z 
2022-11-23T02:04:39.4013205Z ok (2.726s)
2022-11-23T02:04:39.4013612Z   test_mean_cpu (__main__.CpuTests) ... [2022-11-23 01:57:06,083] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.4014040Z [2022-11-23 01:57:06,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.4014335Z [2022-11-23 01:57:06,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.4014661Z [2022-11-23 01:57:06,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.4015034Z [2022-11-23 01:57:06,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.4015466Z [2022-11-23 01:57:06,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4015926Z [2022-11-23 01:57:06,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4016986Z [2022-11-23 01:57:06,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4017901Z [2022-11-23 01:57:06,084] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fbaef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2177> 
2022-11-23T02:04:39.4018120Z  2179           0 LOAD_FAST                0 (x)
2022-11-23T02:04:39.4018262Z                2 LOAD_METHOD              0 (mean)
2022-11-23T02:04:39.4018394Z                4 CALL_METHOD              0
2022-11-23T02:04:39.4018421Z 
2022-11-23T02:04:39.4018535Z 2180           6 LOAD_FAST                0 (x)
2022-11-23T02:04:39.4018671Z                8 LOAD_METHOD              0 (mean)
2022-11-23T02:04:39.4018873Z               10 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.4019001Z               12 CALL_METHOD              1
2022-11-23T02:04:39.4019021Z 
2022-11-23T02:04:39.4019159Z 2181          14 LOAD_GLOBAL              1 (torch)
2022-11-23T02:04:39.4019292Z               16 LOAD_ATTR                0 (mean)
2022-11-23T02:04:39.4019420Z               18 LOAD_FAST                0 (x)
2022-11-23T02:04:39.4019611Z               20 LOAD_CONST               2 (-2)
2022-11-23T02:04:39.4019724Z               22 LOAD_CONST               3 (True)
2022-11-23T02:04:39.4020141Z               24 LOAD_CONST               4 (('keepdim',))
2022-11-23T02:04:39.4020273Z               26 CALL_FUNCTION_KW         3
2022-11-23T02:04:39.4020293Z 
2022-11-23T02:04:39.4020421Z 2182          28 LOAD_FAST                0 (x)
2022-11-23T02:04:39.4020561Z               30 LOAD_METHOD              0 (mean)
2022-11-23T02:04:39.4020691Z               32 LOAD_CONST               5 (0)
2022-11-23T02:04:39.4020820Z               34 LOAD_CONST               6 (1)
2022-11-23T02:04:39.4020931Z               36 BUILD_LIST               2
2022-11-23T02:04:39.4021058Z               38 CALL_METHOD              1
2022-11-23T02:04:39.4021077Z 
2022-11-23T02:04:39.4021204Z 2178          40 BUILD_TUPLE              4
2022-11-23T02:04:39.4021317Z               42 RETURN_VALUE
2022-11-23T02:04:39.4021406Z  
2022-11-23T02:04:39.4021425Z 
2022-11-23T02:04:39.4021856Z [2022-11-23 01:57:06,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2179
2022-11-23T02:04:39.4022147Z [2022-11-23 01:57:06,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.4022612Z [2022-11-23 01:57:06,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable()]
2022-11-23T02:04:39.4023043Z [2022-11-23 01:57:06,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), mean)]
2022-11-23T02:04:39.4023449Z [2022-11-23 01:57:06,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2180
2022-11-23T02:04:39.4023772Z [2022-11-23 01:57:06,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T02:04:39.4024132Z [2022-11-23 01:57:06,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4024538Z [2022-11-23 01:57:06,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), mean)]
2022-11-23T02:04:39.4025004Z [2022-11-23 01:57:06,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int)]
2022-11-23T02:04:39.4025428Z [2022-11-23 01:57:06,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2181
2022-11-23T02:04:39.4025796Z [2022-11-23 01:57:06,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4026361Z [2022-11-23 01:57:06,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4026860Z [2022-11-23 01:57:06,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4027411Z [2022-11-23 01:57:06,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4028006Z [2022-11-23 01:57:06,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4028665Z [2022-11-23 01:57:06,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T02:04:39.4029365Z [2022-11-23 01:57:06,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T02:04:39.4029851Z [2022-11-23 01:57:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2182
2022-11-23T02:04:39.4030222Z [2022-11-23 01:57:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4030651Z [2022-11-23 01:57:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4031131Z [2022-11-23 01:57:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean)]
2022-11-23T02:04:39.4031660Z [2022-11-23 01:57:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int)]
2022-11-23T02:04:39.4032290Z [2022-11-23 01:57:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.4032822Z [2022-11-23 01:57:06,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ListVariable()]
2022-11-23T02:04:39.4033242Z [2022-11-23 01:57:06,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2178
2022-11-23T02:04:39.4033684Z [2022-11-23 01:57:06,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4034019Z [2022-11-23 01:57:06,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.4034535Z [2022-11-23 01:57:06,097] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fbaef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2177>
2022-11-23T02:04:39.4034871Z [2022-11-23 01:57:06,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.4035190Z [2022-11-23 01:57:06,097] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.4035519Z [2022-11-23 01:57:06,099] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.4035859Z [2022-11-23 01:57:06,106] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.4036122Z [2022-11-23 01:57:06,107] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.4036312Z  __compiled_fn_250 <eval_with_key>.1977 opcode, name, target, args, kwargs
2022-11-23T02:04:39.4036452Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.4036596Z call_method, mean, mean, (ex_0_,), {}
2022-11-23T02:04:39.4036794Z call_method, mean_1, mean, (ex_0_, -1), {}
2022-11-23T02:04:39.4037141Z call_function, mean_2, <built-in method mean of type object at 0x7fa5855aec60>, (ex_0_, -2), {'keepdim': True}
2022-11-23T02:04:39.4037270Z call_method, mean_3, mean, (ex_0_, [0, 1]), {}
2022-11-23T02:04:39.4037442Z output, output, output, ((mean, mean_1, mean_2, mean_3),), {}
2022-11-23T02:04:39.4037463Z 
2022-11-23T02:04:39.4037910Z [2022-11-23 01:57:06,107] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4038048Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.4038180Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4038312Z               4 BUILD_MAP                0
2022-11-23T02:04:39.4038537Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.4038664Z               8 DICT_MERGE               1
2022-11-23T02:04:39.4038775Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.4038890Z              12 RETURN_VALUE
2022-11-23T02:04:39.4038915Z 
2022-11-23T02:04:39.4039007Z  
2022-11-23T02:04:39.4039438Z [2022-11-23 01:57:06,107] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4039594Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_250)
2022-11-23T02:04:39.4039725Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4039855Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4039950Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.4040082Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.4040234Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.4040382Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.4040516Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4040633Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.4040784Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.4040969Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.4041070Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.4041214Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.4041343Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.4041456Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.4041600Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.4041730Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:39.4041845Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.4041955Z              36 BUILD_TUPLE              4
2022-11-23T02:04:39.4042068Z              38 RETURN_VALUE
2022-11-23T02:04:39.4042088Z 
2022-11-23T02:04:39.4042187Z  
2022-11-23T02:04:39.4042451Z [2022-11-23 01:57:06,109] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.4042559Z  - 
2022-11-23T02:04:39.4042730Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.4042828Z             {
2022-11-23T02:04:39.4043009Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.4043265Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.4043436Z                 'obj_weakref': None
2022-11-23T02:04:39.4043748Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.4043849Z             }
2022-11-23T02:04:39.4043947Z             
2022-11-23T02:04:39.4044059Z  - 
2022-11-23T02:04:39.4044217Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.4044315Z             {
2022-11-23T02:04:39.4044518Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4044672Z                 'code': None,
2022-11-23T02:04:39.4044968Z                 'obj_weakref': <weakref at 0x7fa51c436e30; to 'Tensor' at 0x7fa5246421b0>
2022-11-23T02:04:39.4045312Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4045411Z             }
2022-11-23T02:04:39.4045495Z             
2022-11-23T02:04:39.4045600Z  - 
2022-11-23T02:04:39.4045786Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.4045882Z             {
2022-11-23T02:04:39.4046071Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.4046307Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.4046477Z                 'obj_weakref': None
2022-11-23T02:04:39.4046768Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.4046869Z             }
2022-11-23T02:04:39.4046966Z             
2022-11-23T02:04:39.4047075Z  - 
2022-11-23T02:04:39.4047246Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.4047487Z             {
2022-11-23T02:04:39.4047681Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.4047955Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.4048129Z                 'obj_weakref': None
2022-11-23T02:04:39.4048436Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.4048535Z             }
2022-11-23T02:04:39.4048632Z             
2022-11-23T02:04:39.4048741Z  - 
2022-11-23T02:04:39.4048928Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.4049004Z             {
2022-11-23T02:04:39.4049176Z                 'guard_types': None,
2022-11-23T02:04:39.4049329Z                 'code': None,
2022-11-23T02:04:39.4049499Z                 'obj_weakref': None
2022-11-23T02:04:39.4049672Z                 'guarded_class': None
2022-11-23T02:04:39.4049769Z             }
2022-11-23T02:04:39.4049866Z             
2022-11-23T02:04:39.4050201Z [2022-11-23 01:57:06,121] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 243
2022-11-23T02:04:39.4050744Z [2022-11-23 01:57:08,890] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/aw/cawwu3qix2hfbory7cqfnzhr6zhicc5o6g2qtrhviwxt3g25ovwd.py
2022-11-23T02:04:39.4051113Z [2022-11-23 01:57:08,890] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 243
2022-11-23T02:04:39.4051134Z 
2022-11-23T02:04:39.4051272Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.4051377Z import torch
2022-11-23T02:04:39.4051484Z import random
2022-11-23T02:04:39.4051648Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.4051825Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.4051845Z 
2022-11-23T02:04:39.4051946Z aten = torch.ops.aten
2022-11-23T02:04:39.4052133Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.4052269Z async_compile = AsyncCompile()
2022-11-23T02:04:39.4052294Z 
2022-11-23T02:04:39.4052313Z 
2022-11-23T02:04:39.4052506Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.4052788Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.4052960Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.4053108Z                        float* __restrict__ in_out_ptr1,
2022-11-23T02:04:39.4053263Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.4053387Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:39.4053526Z                        float* __restrict__ out_ptr3)
2022-11-23T02:04:39.4053620Z {
2022-11-23T02:04:39.4053749Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T02:04:39.4053873Z     auto out_ptr1 = in_out_ptr1;
2022-11-23T02:04:39.4053966Z     {
2022-11-23T02:04:39.4054261Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.4054363Z         float tmp1 = 0;
2022-11-23T02:04:39.4054531Z         auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T02:04:39.4054679Z         #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.4054775Z         {
2022-11-23T02:04:39.4054931Z             #pragma omp for reduction(+:tmp1_vec) 
2022-11-23T02:04:39.4055055Z             for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.4055153Z             {
2022-11-23T02:04:39.4055326Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.4055444Z                 tmp1_vec += tmp0;
2022-11-23T02:04:39.4055545Z             }
2022-11-23T02:04:39.4055813Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T02:04:39.4055986Z             #pragma omp for simd simdlen(4) reduction(+:tmp1) 
2022-11-23T02:04:39.4056600Z             for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.4056762Z             {
2022-11-23T02:04:39.4057204Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.4057358Z                 tmp1 += tmp0;
2022-11-23T02:04:39.4057519Z             }
2022-11-23T02:04:39.4057671Z         }
2022-11-23T02:04:39.4057851Z         out_ptr0[0] = tmp1;
2022-11-23T02:04:39.4058017Z     }
2022-11-23T02:04:39.4058245Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.4058357Z     {
2022-11-23T02:04:39.4058479Z         #pragma omp for 
2022-11-23T02:04:39.4058600Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.4058695Z         {
2022-11-23T02:04:39.4058795Z             {
2022-11-23T02:04:39.4059062Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.4059177Z                 float tmp1 = 0;
2022-11-23T02:04:39.4059348Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T02:04:39.4059459Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.4059564Z                 {
2022-11-23T02:04:39.4059768Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:39.4059886Z                     tmp1_vec += tmp0;
2022-11-23T02:04:39.4059985Z                 }
2022-11-23T02:04:39.4060345Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T02:04:39.4060529Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T02:04:39.4060657Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.4060737Z                 {
2022-11-23T02:04:39.4060879Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:39.4060994Z                     tmp1 += tmp0;
2022-11-23T02:04:39.4061092Z                 }
2022-11-23T02:04:39.4061213Z                 out_ptr1[i0] = tmp1;
2022-11-23T02:04:39.4061310Z             }
2022-11-23T02:04:39.4061386Z         }
2022-11-23T02:04:39.4061506Z         #pragma omp single
2022-11-23T02:04:39.4061607Z         {
2022-11-23T02:04:39.4061702Z             {
2022-11-23T02:04:39.4061800Z                 {
2022-11-23T02:04:39.4061937Z                     auto tmp0 = out_ptr0[0];
2022-11-23T02:04:39.4062095Z                     auto tmp1 = static_cast<float>(64);
2022-11-23T02:04:39.4062212Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.4062341Z                     in_out_ptr0[0] = tmp2;
2022-11-23T02:04:39.4062437Z                 }
2022-11-23T02:04:39.4062531Z             }
2022-11-23T02:04:39.4062624Z         }
2022-11-23T02:04:39.4062737Z         #pragma omp for 
2022-11-23T02:04:39.4062859Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:39.4062936Z         {
2022-11-23T02:04:39.4063121Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T02:04:39.4063310Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T02:04:39.4063434Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.4063575Z             tmp2.store(in_out_ptr1 + 8*i0);
2022-11-23T02:04:39.4063670Z         }
2022-11-23T02:04:39.4063808Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.4063907Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T02:04:39.4064004Z         {
2022-11-23T02:04:39.4064130Z             auto tmp0 = out_ptr1[i0];
2022-11-23T02:04:39.4064273Z             auto tmp1 = static_cast<float>(8);
2022-11-23T02:04:39.4064395Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.4064513Z             in_out_ptr1[i0] = tmp2;
2022-11-23T02:04:39.4064609Z         }
2022-11-23T02:04:39.4064704Z         #pragma omp for 
2022-11-23T02:04:39.4064820Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.4064914Z         {
2022-11-23T02:04:39.4065041Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.4065192Z             {
2022-11-23T02:04:39.4065360Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T02:04:39.4065561Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8 + (8*i1) + (32*i0));
2022-11-23T02:04:39.4065894Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16 + (8*i1) + (32*i0));
2022-11-23T02:04:39.4066604Z                 auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr0 + 24 + (8*i1) + (32*i0));
2022-11-23T02:04:39.4066936Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4067172Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.4067433Z                 auto tmp6 = tmp4 + tmp5;
2022-11-23T02:04:39.4067789Z                 auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(4));
2022-11-23T02:04:39.4068121Z                 auto tmp8 = tmp6 / tmp7;
2022-11-23T02:04:39.4068405Z                 tmp8.store(out_ptr2 + (8*i0) + (8*i1));
2022-11-23T02:04:39.4068679Z             }
2022-11-23T02:04:39.4068937Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.4069224Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.4069455Z             {
2022-11-23T02:04:39.4069736Z                 auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T02:04:39.4070042Z                 auto tmp1 = in_ptr0[8 + i1 + (32*i0)];
2022-11-23T02:04:39.4070334Z                 auto tmp3 = in_ptr0[16 + i1 + (32*i0)];
2022-11-23T02:04:39.4070715Z                 auto tmp5 = in_ptr0[24 + i1 + (32*i0)];
2022-11-23T02:04:39.4071018Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4071294Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.4071574Z                 auto tmp6 = tmp4 + tmp5;
2022-11-23T02:04:39.4071936Z                 auto tmp7 = static_cast<float>(4);
2022-11-23T02:04:39.4072144Z                 auto tmp8 = tmp6 / tmp7;
2022-11-23T02:04:39.4072432Z                 out_ptr2[i1 + (8*i0)] = tmp8;
2022-11-23T02:04:39.4072735Z             }
2022-11-23T02:04:39.4072894Z         }
2022-11-23T02:04:39.4073175Z         #pragma omp for 
2022-11-23T02:04:39.4073406Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.4073656Z         {
2022-11-23T02:04:39.4073955Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.4074358Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 32 + (8*i0));
2022-11-23T02:04:39.4074687Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4075011Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:39.4075363Z             auto tmp4 = tmp2 / tmp3;
2022-11-23T02:04:39.4075690Z             tmp4.store(out_ptr3 + 8*i0);
2022-11-23T02:04:39.4075943Z         }
2022-11-23T02:04:39.4076181Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.4076466Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T02:04:39.4076710Z         {
2022-11-23T02:04:39.4076933Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.4077210Z             auto tmp1 = in_ptr0[32 + i0];
2022-11-23T02:04:39.4077488Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4077761Z             auto tmp3 = static_cast<float>(2);
2022-11-23T02:04:39.4078053Z             auto tmp4 = tmp2 / tmp3;
2022-11-23T02:04:39.4078321Z             out_ptr3[i0] = tmp4;
2022-11-23T02:04:39.4078540Z         }
2022-11-23T02:04:39.4078748Z     }
2022-11-23T02:04:39.4078952Z }
2022-11-23T02:04:39.4079271Z ''')
2022-11-23T02:04:39.4079409Z 
2022-11-23T02:04:39.4079432Z 
2022-11-23T02:04:39.4079563Z async_compile.wait(globals())
2022-11-23T02:04:39.4079829Z del async_compile
2022-11-23T02:04:39.4079983Z 
2022-11-23T02:04:39.4080071Z def call(args):
2022-11-23T02:04:39.4080310Z     arg0_1, = args
2022-11-23T02:04:39.4080546Z     args.clear()
2022-11-23T02:04:39.4080927Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4081402Z     buf1 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4081729Z     buf2 = buf0; del buf0  # reuse
2022-11-23T02:04:39.4081997Z     buf3 = buf1; del buf1  # reuse
2022-11-23T02:04:39.4082414Z     buf4 = empty_strided((1, 2, 1, 8), (16, 8, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4082964Z     buf5 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4083509Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T02:04:39.4083908Z     del arg0_1
2022-11-23T02:04:39.4084205Z     return (buf2, buf3, buf4, buf5, )
2022-11-23T02:04:39.4084323Z 
2022-11-23T02:04:39.4084342Z 
2022-11-23T02:04:39.4084457Z if __name__ == "__main__":
2022-11-23T02:04:39.4084777Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.4085161Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.4085678Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4086014Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.4086215Z 
2022-11-23T02:04:39.4086299Z ok (2.814s)
2022-11-23T02:04:39.4086859Z   test_min_max_reduction_cpu (__main__.CpuTests) ... [2022-11-23 01:57:08,898] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.4087583Z [2022-11-23 01:57:08,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.4088236Z [2022-11-23 01:57:08,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.4088793Z [2022-11-23 01:57:08,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.4089413Z [2022-11-23 01:57:08,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.4090108Z [2022-11-23 01:57:08,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4090867Z [2022-11-23 01:57:08,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4091605Z [2022-11-23 01:57:08,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4092402Z [2022-11-23 01:57:08,899] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115a4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 851> 
2022-11-23T02:04:39.4092866Z  852           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.4093153Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:39.4093400Z               4 BINARY_ADD
2022-11-23T02:04:39.4093669Z               6 LOAD_METHOD              0 (max)
2022-11-23T02:04:39.4093950Z               8 CALL_METHOD              0
2022-11-23T02:04:39.4094213Z              10 LOAD_FAST                0 (a)
2022-11-23T02:04:39.4094488Z              12 LOAD_FAST                1 (b)
2022-11-23T02:04:39.4094743Z              14 BINARY_ADD
2022-11-23T02:04:39.4095000Z              16 LOAD_METHOD              1 (min)
2022-11-23T02:04:39.4095278Z              18 CALL_METHOD              0
2022-11-23T02:04:39.4095562Z              20 LOAD_GLOBAL              2 (torch)
2022-11-23T02:04:39.4095836Z              22 LOAD_ATTR                3 (amax)
2022-11-23T02:04:39.4096804Z              24 LOAD_FAST                0 (a)
2022-11-23T02:04:39.4097289Z              26 LOAD_CONST               1 (1)
2022-11-23T02:04:39.4097733Z              28 BINARY_ADD
2022-11-23T02:04:39.4098077Z              30 LOAD_CONST               2 (True)
2022-11-23T02:04:39.4098470Z              32 LOAD_CONST               3 (('keepdim',))
2022-11-23T02:04:39.4098765Z              34 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.4099028Z              36 BUILD_TUPLE              3
2022-11-23T02:04:39.4099290Z              38 RETURN_VALUE
2022-11-23T02:04:39.4099516Z  
2022-11-23T02:04:39.4099632Z 
2022-11-23T02:04:39.4100065Z [2022-11-23 01:57:08,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:852
2022-11-23T02:04:39.4100839Z [2022-11-23 01:57:08,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.4101377Z [2022-11-23 01:57:08,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:39.4102078Z [2022-11-23 01:57:08,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4102648Z [2022-11-23 01:57:08,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T02:04:39.4103257Z [2022-11-23 01:57:08,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T02:04:39.4103843Z [2022-11-23 01:57:08,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:39.4104433Z [2022-11-23 01:57:08,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4105070Z [2022-11-23 01:57:08,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4105793Z [2022-11-23 01:57:08,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4106466Z [2022-11-23 01:57:08,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T02:04:39.4107116Z [2022-11-23 01:57:08,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4107922Z [2022-11-23 01:57:08,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4108797Z [2022-11-23 01:57:08,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4109675Z [2022-11-23 01:57:08,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4110636Z [2022-11-23 01:57:08,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4111609Z [2022-11-23 01:57:08,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4112564Z [2022-11-23 01:57:08,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.4113636Z [2022-11-23 01:57:08,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T02:04:39.4114473Z [2022-11-23 01:57:08,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4115090Z [2022-11-23 01:57:08,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.4115844Z [2022-11-23 01:57:08,912] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115a4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 851>
2022-11-23T02:04:39.4116577Z [2022-11-23 01:57:08,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.4117139Z [2022-11-23 01:57:08,912] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.4117720Z [2022-11-23 01:57:08,914] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.4118313Z [2022-11-23 01:57:08,923] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.4118801Z [2022-11-23 01:57:08,923] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.4119188Z  __compiled_fn_251 <eval_with_key>.1983 opcode, name, target, args, kwargs
2022-11-23T02:04:39.4119525Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.4119791Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.4120198Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.4120523Z call_method, max_1, max, (add,), {}
2022-11-23T02:04:39.4120918Z call_function, add_1, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.4121243Z call_method, min_1, min, (add_1,), {}
2022-11-23T02:04:39.4121650Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.4122256Z call_function, amax, <built-in method amax of type object at 0x7fa5855aec60>, (add_2,), {'keepdim': True}
2022-11-23T02:04:39.4122646Z output, output, output, ((max_1, min_1, amax),), {}
2022-11-23T02:04:39.4122851Z 
2022-11-23T02:04:39.4123303Z [2022-11-23 01:57:08,924] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4123737Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.4124011Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4124295Z               4 BUILD_MAP                0
2022-11-23T02:04:39.4124586Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.4124856Z               8 DICT_MERGE               1
2022-11-23T02:04:39.4125139Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.4125408Z              12 RETURN_VALUE
2022-11-23T02:04:39.4125569Z 
2022-11-23T02:04:39.4125662Z  
2022-11-23T02:04:39.4126212Z [2022-11-23 01:57:08,924] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4126674Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_251)
2022-11-23T02:04:39.4126980Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4127248Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4127512Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.4127785Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4128048Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.4128317Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.4128584Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.4128892Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.4129191Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.4129486Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4129751Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.4130029Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.4130320Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.4130586Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.4130853Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.4131146Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:39.4131407Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.4131659Z              36 BUILD_TUPLE              3
2022-11-23T02:04:39.4131918Z              38 RETURN_VALUE
2022-11-23T02:04:39.4132079Z 
2022-11-23T02:04:39.4132170Z  
2022-11-23T02:04:39.4132543Z [2022-11-23 01:57:08,925] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.4132967Z  - 
2022-11-23T02:04:39.4133248Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.4133478Z             {
2022-11-23T02:04:39.4133799Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.4134227Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.4134588Z                 'obj_weakref': None
2022-11-23T02:04:39.4135030Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.4135348Z             }
2022-11-23T02:04:39.4135576Z             
2022-11-23T02:04:39.4135788Z  - 
2022-11-23T02:04:39.4136583Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.4137014Z             {
2022-11-23T02:04:39.4137556Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4138112Z                 'code': None,
2022-11-23T02:04:39.4138696Z                 'obj_weakref': <weakref at 0x7fa51c171a80; to 'Tensor' at 0x7fa51c40acf0>
2022-11-23T02:04:39.4139245Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4139581Z             }
2022-11-23T02:04:39.4139802Z             
2022-11-23T02:04:39.4140014Z  - 
2022-11-23T02:04:39.4140487Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.4140751Z             {
2022-11-23T02:04:39.4141059Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4141384Z                 'code': None,
2022-11-23T02:04:39.4141809Z                 'obj_weakref': <weakref at 0x7fa51c1d64d0; to 'Tensor' at 0x7fa6237e3740>
2022-11-23T02:04:39.4142353Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4142668Z             }
2022-11-23T02:04:39.4142883Z             
2022-11-23T02:04:39.4143109Z  - 
2022-11-23T02:04:39.4143391Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.4143646Z             {
2022-11-23T02:04:39.4143963Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.4144338Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.4144680Z                 'obj_weakref': None
2022-11-23T02:04:39.4145141Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.4145442Z             }
2022-11-23T02:04:39.4145662Z             
2022-11-23T02:04:39.4145891Z  - 
2022-11-23T02:04:39.4146164Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.4146416Z             {
2022-11-23T02:04:39.4146726Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.4147163Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.4147548Z                 'obj_weakref': None
2022-11-23T02:04:39.4148001Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.4148313Z             }
2022-11-23T02:04:39.4148524Z             
2022-11-23T02:04:39.4148751Z  - 
2022-11-23T02:04:39.4149049Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.4149291Z             {
2022-11-23T02:04:39.4149582Z                 'guard_types': None,
2022-11-23T02:04:39.4149885Z                 'code': None,
2022-11-23T02:04:39.4150178Z                 'obj_weakref': None
2022-11-23T02:04:39.4150501Z                 'guarded_class': None
2022-11-23T02:04:39.4150746Z             }
2022-11-23T02:04:39.4150944Z             
2022-11-23T02:04:39.4151425Z [2022-11-23 01:57:08,942] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 244
2022-11-23T02:04:39.4152161Z [2022-11-23 01:57:11,555] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qs/cqstbsmk4o5aize5rd7v6tw46rclzbnraar54puhwpx4am6rejnf.py
2022-11-23T02:04:39.4152848Z [2022-11-23 01:57:11,556] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 244
2022-11-23T02:04:39.4153128Z 
2022-11-23T02:04:39.4153490Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.4153760Z import torch
2022-11-23T02:04:39.4153996Z import random
2022-11-23T02:04:39.4154278Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.4154630Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.4154846Z 
2022-11-23T02:04:39.4154962Z aten = torch.ops.aten
2022-11-23T02:04:39.4155275Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.4155614Z async_compile = AsyncCompile()
2022-11-23T02:04:39.4155801Z 
2022-11-23T02:04:39.4155819Z 
2022-11-23T02:04:39.4156020Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.4156459Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.4156896Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.4157233Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.4157545Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.4157838Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.4158140Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.4158392Z {
2022-11-23T02:04:39.4158580Z     {
2022-11-23T02:04:39.4159326Z         #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T02:04:39.4159984Z         float tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.4160341Z         auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T02:04:39.4160831Z         #pragma omp declare reduction(min:at::vec::Vectorized<float>:omp_out = at::vec::minimum(omp_out, omp_in)) initializer(omp_priv={{std::numeric_limits<float>::infinity()}})
2022-11-23T02:04:39.4161323Z         float tmp4 = std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.4161670Z         auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T02:04:39.4162129Z         float tmp7 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.4162460Z         auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T02:04:39.4162783Z         #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.4163048Z         {
2022-11-23T02:04:39.4163380Z             #pragma omp for reduction(max:tmp3_vec) reduction(min:tmp4_vec) reduction(max:tmp7_vec) 
2022-11-23T02:04:39.4163739Z             for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.4163986Z             {
2022-11-23T02:04:39.4164281Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.4164716Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.4165040Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4165376Z                 auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.4165684Z                 auto tmp6 = tmp0 + tmp5;
2022-11-23T02:04:39.4165994Z                 tmp3_vec = at::vec::maximum(tmp3_vec, tmp2);
2022-11-23T02:04:39.4166333Z                 tmp4_vec = at::vec::minimum(tmp4_vec, tmp2);
2022-11-23T02:04:39.4166651Z                 tmp7_vec = at::vec::maximum(tmp7_vec, tmp6);
2022-11-23T02:04:39.4166921Z             }
2022-11-23T02:04:39.4167341Z             tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp3_vec);
2022-11-23T02:04:39.4167911Z             tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::minimum(x, y);}, tmp4_vec);
2022-11-23T02:04:39.4168461Z             tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp7_vec);
2022-11-23T02:04:39.4168973Z             #pragma omp for simd simdlen(4) reduction(max:tmp3) reduction(min:tmp4) reduction(max:tmp7) 
2022-11-23T02:04:39.4169341Z             for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.4169671Z             {
2022-11-23T02:04:39.4169906Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.4170183Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:39.4170461Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4170745Z                 auto tmp5 = static_cast<float>(1);
2022-11-23T02:04:39.4171034Z                 auto tmp6 = tmp0 + tmp5;
2022-11-23T02:04:39.4171327Z                 tmp3 = std::max(tmp3, tmp2);
2022-11-23T02:04:39.4171605Z                 tmp4 = std::min(tmp4, tmp2);
2022-11-23T02:04:39.4171891Z                 tmp7 = std::max(tmp7, tmp6);
2022-11-23T02:04:39.4172139Z             }
2022-11-23T02:04:39.4172344Z         }
2022-11-23T02:04:39.4172578Z         out_ptr0[0] = tmp3;
2022-11-23T02:04:39.4172829Z         out_ptr1[0] = tmp4;
2022-11-23T02:04:39.4173057Z         out_ptr2[0] = tmp7;
2022-11-23T02:04:39.4173282Z     }
2022-11-23T02:04:39.4173490Z }
2022-11-23T02:04:39.4173726Z ''')
2022-11-23T02:04:39.4173867Z 
2022-11-23T02:04:39.4173885Z 
2022-11-23T02:04:39.4174017Z async_compile.wait(globals())
2022-11-23T02:04:39.4174281Z del async_compile
2022-11-23T02:04:39.4174434Z 
2022-11-23T02:04:39.4174540Z def call(args):
2022-11-23T02:04:39.4174766Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.4175073Z     args.clear()
2022-11-23T02:04:39.4175480Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4175915Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4177056Z     buf2 = empty_strided((1, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4177903Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.4178409Z     del arg0_1
2022-11-23T02:04:39.4178641Z     del arg1_1
2022-11-23T02:04:39.4178884Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:39.4179053Z 
2022-11-23T02:04:39.4179072Z 
2022-11-23T02:04:39.4179197Z if __name__ == "__main__":
2022-11-23T02:04:39.4179482Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.4179838Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.4180316Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4180833Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4181200Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.4181400Z 
2022-11-23T02:04:39.4181501Z ok (2.665s)
2022-11-23T02:04:39.4182063Z   test_misaligned_address_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:57:11,565] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.4182789Z [2022-11-23 01:57:11,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.4183375Z [2022-11-23 01:57:11,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.4183938Z [2022-11-23 01:57:11,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.4184545Z [2022-11-23 01:57:11,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.4185289Z [2022-11-23 01:57:11,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4186054Z [2022-11-23 01:57:11,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4186805Z [2022-11-23 01:57:11,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4187621Z [2022-11-23 01:57:11,566] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fa640f58500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4452> 
2022-11-23T02:04:39.4188251Z  4453           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.4188544Z                2 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.4188840Z                4 LOAD_ATTR                2 (aten)
2022-11-23T02:04:39.4189113Z                6 LOAD_ATTR                3 (gather)
2022-11-23T02:04:39.4189408Z                8 LOAD_METHOD              4 (default)
2022-11-23T02:04:39.4189588Z 
2022-11-23T02:04:39.4189733Z 4454          10 LOAD_FAST                0 (sub_tensor_1)
2022-11-23T02:04:39.4190030Z               12 LOAD_CONST               1 (1)
2022-11-23T02:04:39.4190317Z               14 LOAD_FAST                1 (unsqueeze_default)
2022-11-23T02:04:39.4190508Z 
2022-11-23T02:04:39.4190636Z 4453          16 CALL_METHOD              3
2022-11-23T02:04:39.4190931Z               18 STORE_FAST               2 (gather_default)
2022-11-23T02:04:39.4191125Z 
2022-11-23T02:04:39.4191256Z 4456          20 LOAD_FAST                2 (gather_default)
2022-11-23T02:04:39.4191523Z               22 RETURN_VALUE
2022-11-23T02:04:39.4191757Z  
2022-11-23T02:04:39.4191890Z 
2022-11-23T02:04:39.4192430Z [2022-11-23 01:57:11,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4453
2022-11-23T02:04:39.4193040Z [2022-11-23 01:57:11,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.4193741Z [2022-11-23 01:57:11,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4194468Z [2022-11-23 01:57:11,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.4195160Z [2022-11-23 01:57:11,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.4195788Z [2022-11-23 01:57:11,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.gather)]
2022-11-23T02:04:39.4196473Z [2022-11-23 01:57:11,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4454
2022-11-23T02:04:39.4197156Z [2022-11-23 01:57:11,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sub_tensor_1 [TorchVariable(aten.gather.default)]
2022-11-23T02:04:39.4197824Z [2022-11-23 01:57:11,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.gather.default), TensorVariable()]
2022-11-23T02:04:39.4198569Z [2022-11-23 01:57:11,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unsqueeze_default [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4199323Z [2022-11-23 01:57:11,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4453
2022-11-23T02:04:39.4200101Z [2022-11-23 01:57:11,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.4200792Z [2022-11-23 01:57:11,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST gather_default [TensorVariable()]
2022-11-23T02:04:39.4201446Z [2022-11-23 01:57:11,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4456
2022-11-23T02:04:39.4202053Z [2022-11-23 01:57:11,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST gather_default []
2022-11-23T02:04:39.4202609Z [2022-11-23 01:57:11,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.4203366Z [2022-11-23 01:57:11,579] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fa640f58500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4452>
2022-11-23T02:04:39.4204115Z [2022-11-23 01:57:11,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.4204674Z [2022-11-23 01:57:11,579] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.4205252Z [2022-11-23 01:57:11,580] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.4205839Z [2022-11-23 01:57:11,586] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.4206329Z [2022-11-23 01:57:11,586] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.4206724Z  __compiled_fn_252 <eval_with_key>.1989 opcode, name, target, args, kwargs
2022-11-23T02:04:39.4207060Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.4207326Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.4207678Z call_function, gather_default, aten.gather.default, (ex_0_, 1, ex_1_), {}
2022-11-23T02:04:39.4208062Z output, output, output, ((gather_default,),), {}
2022-11-23T02:04:39.4208268Z 
2022-11-23T02:04:39.4208791Z [2022-11-23 01:57:11,587] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4209226Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.4209517Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4209795Z               4 BUILD_MAP                0
2022-11-23T02:04:39.4210067Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.4210351Z               8 DICT_MERGE               1
2022-11-23T02:04:39.4210633Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.4210880Z              12 RETURN_VALUE
2022-11-23T02:04:39.4211045Z 
2022-11-23T02:04:39.4211137Z  
2022-11-23T02:04:39.4211705Z [2022-11-23 01:57:11,587] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4212177Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_252)
2022-11-23T02:04:39.4212464Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4212751Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4213025Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.4213289Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4213570Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.4213831Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.4214084Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.4214369Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.4214636Z              18 RETURN_VALUE
2022-11-23T02:04:39.4214800Z 
2022-11-23T02:04:39.4214875Z  
2022-11-23T02:04:39.4215258Z [2022-11-23 01:57:11,588] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.4215557Z  - 
2022-11-23T02:04:39.4215829Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.4216569Z             {
2022-11-23T02:04:39.4217123Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.4217554Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.4217901Z                 'obj_weakref': None
2022-11-23T02:04:39.4218357Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.4218672Z             }
2022-11-23T02:04:39.4218874Z             
2022-11-23T02:04:39.4219102Z  - 
2022-11-23T02:04:39.4219396Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.4219632Z             {
2022-11-23T02:04:39.4219951Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4220268Z                 'code': None,
2022-11-23T02:04:39.4220675Z                 'obj_weakref': <weakref at 0x7fa51c3bc450; to 'Tensor' at 0x7fa51c49bdd0>
2022-11-23T02:04:39.4221223Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4221778Z             }
2022-11-23T02:04:39.4221977Z             
2022-11-23T02:04:39.4222207Z  - 
2022-11-23T02:04:39.4222500Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.4222732Z             {
2022-11-23T02:04:39.4223057Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4223372Z                 'code': None,
2022-11-23T02:04:39.4223799Z                 'obj_weakref': <weakref at 0x7fa51c421ee0; to 'Tensor' at 0x7fa51c3bc9a0>
2022-11-23T02:04:39.4224337Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4224662Z             }
2022-11-23T02:04:39.4224879Z             
2022-11-23T02:04:39.4225094Z  - 
2022-11-23T02:04:39.4225394Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.4225650Z             {
2022-11-23T02:04:39.4225944Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.4226339Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.4226680Z                 'obj_weakref': None
2022-11-23T02:04:39.4227125Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.4227540Z             }
2022-11-23T02:04:39.4227767Z             
2022-11-23T02:04:39.4227981Z  - 
2022-11-23T02:04:39.4228268Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.4228513Z             {
2022-11-23T02:04:39.4228811Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.4229269Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.4229654Z                 'obj_weakref': None
2022-11-23T02:04:39.4230103Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.4230394Z             }
2022-11-23T02:04:39.4230614Z             
2022-11-23T02:04:39.4230844Z  - 
2022-11-23T02:04:39.4231136Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.4231393Z             {
2022-11-23T02:04:39.4231683Z                 'guard_types': None,
2022-11-23T02:04:39.4231967Z                 'code': None,
2022-11-23T02:04:39.4232275Z                 'obj_weakref': None
2022-11-23T02:04:39.4232593Z                 'guarded_class': None
2022-11-23T02:04:39.4232825Z             }
2022-11-23T02:04:39.4233042Z             
2022-11-23T02:04:39.4233583Z [2022-11-23 01:57:11,598] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 245
2022-11-23T02:04:39.4234311Z [2022-11-23 01:57:14,133] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kh/ckheuap6atyzontzfxwblkjube5vf4eas4hrtyeac7pkgg2lp7hx.py
2022-11-23T02:04:39.4235028Z [2022-11-23 01:57:14,134] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 245
2022-11-23T02:04:39.4235305Z 
2022-11-23T02:04:39.4235441Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.4235714Z import torch
2022-11-23T02:04:39.4235933Z import random
2022-11-23T02:04:39.4236224Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.4236576Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.4236788Z 
2022-11-23T02:04:39.4236890Z aten = torch.ops.aten
2022-11-23T02:04:39.4237217Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.4237556Z async_compile = AsyncCompile()
2022-11-23T02:04:39.4237735Z 
2022-11-23T02:04:39.4237754Z 
2022-11-23T02:04:39.4237936Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.4238378Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.4238832Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.4239166Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.4239462Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.4239716Z {
2022-11-23T02:04:39.4240020Z     {
2022-11-23T02:04:39.4240214Z         {
2022-11-23T02:04:39.4240455Z             auto tmp0 = in_ptr0[0];
2022-11-23T02:04:39.4240731Z             auto tmp1 = in_ptr1[tmp0];
2022-11-23T02:04:39.4240985Z             out_ptr0[0] = tmp1;
2022-11-23T02:04:39.4241221Z         }
2022-11-23T02:04:39.4241438Z     }
2022-11-23T02:04:39.4241629Z }
2022-11-23T02:04:39.4241863Z ''')
2022-11-23T02:04:39.4241999Z 
2022-11-23T02:04:39.4242017Z 
2022-11-23T02:04:39.4242144Z async_compile.wait(globals())
2022-11-23T02:04:39.4242390Z del async_compile
2022-11-23T02:04:39.4242545Z 
2022-11-23T02:04:39.4242648Z def call(args):
2022-11-23T02:04:39.4242893Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.4243119Z     args.clear()
2022-11-23T02:04:39.4243517Z     buf0 = empty_strided((1, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4243945Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.4244275Z     del arg0_1
2022-11-23T02:04:39.4244492Z     del arg1_1
2022-11-23T02:04:39.4244768Z     return (buf0, )
2022-11-23T02:04:39.4244923Z 
2022-11-23T02:04:39.4244942Z 
2022-11-23T02:04:39.4245053Z if __name__ == "__main__":
2022-11-23T02:04:39.4245335Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.4245757Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.4246241Z     arg0_1 = rand_strided((1, 1000), (1000, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4246693Z     arg1_1 = rand_strided((1, 1), (1, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.4247055Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.4247257Z 
2022-11-23T02:04:39.4247359Z ok (2.577s)
2022-11-23T02:04:39.4247892Z   test_mm_views_cpu (__main__.CpuTests) ... [2022-11-23 01:57:14,142] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.4248578Z [2022-11-23 01:57:14,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.4249174Z [2022-11-23 01:57:14,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.4249735Z [2022-11-23 01:57:14,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.4250354Z [2022-11-23 01:57:14,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.4251031Z [2022-11-23 01:57:14,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4251786Z [2022-11-23 01:57:14,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4252529Z [2022-11-23 01:57:14,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4253340Z [2022-11-23 01:57:14,144] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f7aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4125> 
2022-11-23T02:04:39.4253799Z  4126           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.4254089Z                2 LOAD_METHOD              1 (mm)
2022-11-23T02:04:39.4254378Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.4254646Z                6 LOAD_METHOD              2 (view)
2022-11-23T02:04:39.4254936Z                8 LOAD_CONST               1 (32)
2022-11-23T02:04:39.4255217Z               10 LOAD_CONST               1 (32)
2022-11-23T02:04:39.4255498Z               12 CALL_METHOD              2
2022-11-23T02:04:39.4255763Z               14 LOAD_FAST                1 (b)
2022-11-23T02:04:39.4256530Z               16 LOAD_METHOD              2 (view)
2022-11-23T02:04:39.4257028Z               18 LOAD_CONST               1 (32)
2022-11-23T02:04:39.4257720Z               20 LOAD_CONST               1 (32)
2022-11-23T02:04:39.4258187Z               22 CALL_METHOD              2
2022-11-23T02:04:39.4258470Z               24 CALL_METHOD              2
2022-11-23T02:04:39.4258712Z               26 RETURN_VALUE
2022-11-23T02:04:39.4258943Z  
2022-11-23T02:04:39.4259080Z 
2022-11-23T02:04:39.4259619Z [2022-11-23 01:57:14,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4126
2022-11-23T02:04:39.4260258Z [2022-11-23 01:57:14,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.4260960Z [2022-11-23 01:57:14,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4261714Z [2022-11-23 01:57:14,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4262473Z [2022-11-23 01:57:14,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4263390Z [2022-11-23 01:57:14,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:39.4264279Z [2022-11-23 01:57:14,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T02:04:39.4264883Z [2022-11-23 01:57:14,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.4265337Z [2022-11-23 01:57:14,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4265840Z [2022-11-23 01:57:14,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4266384Z [2022-11-23 01:57:14,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>), TensorVariable(), GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:39.4266975Z [2022-11-23 01:57:14,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>), TensorVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T02:04:39.4267614Z [2022-11-23 01:57:14,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>), TensorVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.4268119Z [2022-11-23 01:57:14,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4268455Z [2022-11-23 01:57:14,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.4268961Z [2022-11-23 01:57:14,150] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f7aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4125>
2022-11-23T02:04:39.4269297Z [2022-11-23 01:57:14,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.4269614Z [2022-11-23 01:57:14,151] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.4270029Z [2022-11-23 01:57:14,152] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.4270352Z [2022-11-23 01:57:14,159] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.4270622Z [2022-11-23 01:57:14,160] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.4270810Z  __compiled_fn_253 <eval_with_key>.1995 opcode, name, target, args, kwargs
2022-11-23T02:04:39.4270943Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.4271069Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.4271209Z call_method, view, view, (ex_0_, 32, 32), {}
2022-11-23T02:04:39.4271351Z call_method, view_1, view, (ex_1_, 32, 32), {}
2022-11-23T02:04:39.4271639Z call_function, mm, <built-in method mm of type object at 0x7fa5855aec60>, (view, view_1), {}
2022-11-23T02:04:39.4271777Z output, output, output, ((mm,),), {}
2022-11-23T02:04:39.4271800Z 
2022-11-23T02:04:39.4272234Z [2022-11-23 01:57:14,161] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4283241Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.4283457Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4283771Z               4 BUILD_MAP                0
2022-11-23T02:04:39.4283927Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.4284062Z               8 DICT_MERGE               1
2022-11-23T02:04:39.4284195Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.4284291Z              12 RETURN_VALUE
2022-11-23T02:04:39.4284313Z 
2022-11-23T02:04:39.4284417Z  
2022-11-23T02:04:39.4284955Z [2022-11-23 01:57:14,161] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4285230Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_253)
2022-11-23T02:04:39.4285374Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4285519Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4285645Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.4285754Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4285894Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.4286018Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.4286154Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.4286292Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.4286408Z              18 RETURN_VALUE
2022-11-23T02:04:39.4286427Z 
2022-11-23T02:04:39.4286525Z  
2022-11-23T02:04:39.4286799Z [2022-11-23 01:57:14,162] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.4286888Z  - 
2022-11-23T02:04:39.4287068Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.4287174Z             {
2022-11-23T02:04:39.4287379Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.4287638Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.4287820Z                 'obj_weakref': None
2022-11-23T02:04:39.4288133Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.4288213Z             }
2022-11-23T02:04:39.4288323Z             
2022-11-23T02:04:39.4288438Z  - 
2022-11-23T02:04:39.4288626Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.4288728Z             {
2022-11-23T02:04:39.4288931Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4289091Z                 'code': None,
2022-11-23T02:04:39.4289362Z                 'obj_weakref': <weakref at 0x7fa51c24e480; to 'Tensor' at 0x7fa51c49bdd0>
2022-11-23T02:04:39.4289712Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4289815Z             }
2022-11-23T02:04:39.4289917Z             
2022-11-23T02:04:39.4290028Z  - 
2022-11-23T02:04:39.4290209Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.4290404Z             {
2022-11-23T02:04:39.4290590Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4290749Z                 'code': None,
2022-11-23T02:04:39.4291046Z                 'obj_weakref': <weakref at 0x7fa51c171c10; to 'Tensor' at 0x7fa6237e37e0>
2022-11-23T02:04:39.4291391Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4291494Z             }
2022-11-23T02:04:39.4291596Z             
2022-11-23T02:04:39.4291710Z  - 
2022-11-23T02:04:39.4291877Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.4291981Z             {
2022-11-23T02:04:39.4292173Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.4292411Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.4292588Z                 'obj_weakref': None
2022-11-23T02:04:39.4292916Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.4293025Z             }
2022-11-23T02:04:39.4293100Z             
2022-11-23T02:04:39.4293213Z  - 
2022-11-23T02:04:39.4293392Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.4293491Z             {
2022-11-23T02:04:39.4293832Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.4294149Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.4294322Z                 'obj_weakref': None
2022-11-23T02:04:39.4294606Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.4294715Z             }
2022-11-23T02:04:39.4294816Z             
2022-11-23T02:04:39.4294932Z  - 
2022-11-23T02:04:39.4295121Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.4295224Z             {
2022-11-23T02:04:39.4295398Z                 'guard_types': None,
2022-11-23T02:04:39.4295535Z                 'code': None,
2022-11-23T02:04:39.4295713Z                 'obj_weakref': None
2022-11-23T02:04:39.4295893Z                 'guarded_class': None
2022-11-23T02:04:39.4295994Z             }
2022-11-23T02:04:39.4296795Z             
2022-11-23T02:04:39.4297436Z [2022-11-23 01:57:14,174] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 246
2022-11-23T02:04:39.4298305Z [2022-11-23 01:57:14,178] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7o/c7og2yfefstygnpgjac3tgab5i2h2koqnm6w6d6vjsfe7cbdr6zv.py
2022-11-23T02:04:39.4298690Z [2022-11-23 01:57:14,178] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 246
2022-11-23T02:04:39.4298740Z 
2022-11-23T02:04:39.4298861Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.4298971Z import torch
2022-11-23T02:04:39.4299082Z import random
2022-11-23T02:04:39.4299253Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.4299432Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.4299457Z 
2022-11-23T02:04:39.4299580Z aten = torch.ops.aten
2022-11-23T02:04:39.4299775Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.4299890Z async_compile = AsyncCompile()
2022-11-23T02:04:39.4299910Z 
2022-11-23T02:04:39.4299928Z 
2022-11-23T02:04:39.4300065Z async_compile.wait(globals())
2022-11-23T02:04:39.4300181Z del async_compile
2022-11-23T02:04:39.4300200Z 
2022-11-23T02:04:39.4300314Z def call(args):
2022-11-23T02:04:39.4300431Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.4300545Z     args.clear()
2022-11-23T02:04:39.4300828Z     buf0 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4300982Z     aten.mm.out(arg0_1, as_strided(arg1_1, (32, 32), (32, 1)), out=buf0)
2022-11-23T02:04:39.4301091Z     del arg0_1
2022-11-23T02:04:39.4301200Z     del arg1_1
2022-11-23T02:04:39.4301311Z     return (buf0, )
2022-11-23T02:04:39.4301330Z 
2022-11-23T02:04:39.4301349Z 
2022-11-23T02:04:39.4301465Z if __name__ == "__main__":
2022-11-23T02:04:39.4301807Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.4301988Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.4302275Z     arg0_1 = rand_strided((32, 32), (1, 32), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4302544Z     arg1_1 = rand_strided((32, 1, 32), (32, 1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4302716Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.4302736Z 
2022-11-23T02:04:39.4302847Z ok (0.044s)
2022-11-23T02:04:39.4303273Z   test_move_arange_cpu (__main__.CpuTests) ... [2022-11-23 01:57:14,184] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.4303712Z [2022-11-23 01:57:14,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.4304013Z [2022-11-23 01:57:14,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.4304375Z [2022-11-23 01:57:14,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.4304854Z [2022-11-23 01:57:14,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.4305310Z [2022-11-23 01:57:14,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4305784Z [2022-11-23 01:57:14,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4306264Z [2022-11-23 01:57:14,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4306772Z [2022-11-23 01:57:14,185] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9c710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2421> 
2022-11-23T02:04:39.4306928Z  2422           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.4307072Z                2 LOAD_ATTR                1 (arange)
2022-11-23T02:04:39.4307219Z                4 LOAD_GLOBAL              2 (len)
2022-11-23T02:04:39.4307361Z                6 LOAD_FAST                0 (x)
2022-11-23T02:04:39.4307501Z                8 CALL_FUNCTION            1
2022-11-23T02:04:39.4307708Z               10 LOAD_CONST               1 ('cpu')
2022-11-23T02:04:39.4307898Z               12 LOAD_CONST               2 (('device',))
2022-11-23T02:04:39.4308038Z               14 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.4308178Z               16 LOAD_METHOD              3 (to)
2022-11-23T02:04:39.4308314Z               18 LOAD_FAST                0 (x)
2022-11-23T02:04:39.4308454Z               20 LOAD_ATTR                4 (device)
2022-11-23T02:04:39.4308591Z               22 CALL_METHOD              1
2022-11-23T02:04:39.4308731Z               24 LOAD_FAST                0 (x)
2022-11-23T02:04:39.4308821Z               26 BINARY_ADD
2022-11-23T02:04:39.4308943Z               28 RETURN_VALUE
2022-11-23T02:04:39.4309040Z  
2022-11-23T02:04:39.4309060Z 
2022-11-23T02:04:39.4309500Z [2022-11-23 01:57:14,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2422
2022-11-23T02:04:39.4309807Z [2022-11-23 01:57:14,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.4310309Z [2022-11-23 01:57:14,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4310758Z [2022-11-23 01:57:14,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL len [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4311234Z [2022-11-23 01:57:14,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), BuiltinVariable(len)]
2022-11-23T02:04:39.4311841Z [2022-11-23 01:57:14,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), BuiltinVariable(len), TensorVariable()]
2022-11-23T02:04:39.4312331Z [2022-11-23 01:57:14,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cpu [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int)]
2022-11-23T02:04:39.4312884Z [2022-11-23 01:57:14,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T02:04:39.4313464Z [2022-11-23 01:57:14,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method arange of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:39.4313801Z [2022-11-23 01:57:14,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T02:04:39.4314225Z [2022-11-23 01:57:14,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [GetAttrVariable(TensorVariable(), to)]
2022-11-23T02:04:39.4314676Z [2022-11-23 01:57:14,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()]
2022-11-23T02:04:39.4315073Z [2022-11-23 01:57:14,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)]
2022-11-23T02:04:39.4315405Z [2022-11-23 01:57:14,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T02:04:39.4315784Z [2022-11-23 01:57:14,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4316126Z [2022-11-23 01:57:14,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.4316641Z [2022-11-23 01:57:14,193] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9c710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2421>
2022-11-23T02:04:39.4316979Z [2022-11-23 01:57:14,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.4317298Z [2022-11-23 01:57:14,193] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.4317647Z [2022-11-23 01:57:14,194] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.4317994Z [2022-11-23 01:57:14,200] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.4318263Z [2022-11-23 01:57:14,201] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.4318440Z  __compiled_fn_254 <eval_with_key>.2001 opcode, name, target, args, kwargs
2022-11-23T02:04:39.4318583Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.4318923Z call_function, arange, <built-in method arange of type object at 0x7fa5855aec60>, (32,), {'device': 'cpu'}
2022-11-23T02:04:39.4319156Z call_method, to, to, (arange, device(type='cpu')), {}
2022-11-23T02:04:39.4319406Z call_function, add, <built-in function add>, (to, ex_0_), {}
2022-11-23T02:04:39.4319550Z output, output, output, ((add,),), {}
2022-11-23T02:04:39.4319570Z 
2022-11-23T02:04:39.4320008Z [2022-11-23 01:57:14,201] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4320151Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.4320265Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4320399Z               4 BUILD_MAP                0
2022-11-23T02:04:39.4320543Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.4320779Z               8 DICT_MERGE               1
2022-11-23T02:04:39.4320919Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.4321036Z              12 RETURN_VALUE
2022-11-23T02:04:39.4321057Z 
2022-11-23T02:04:39.4321152Z  
2022-11-23T02:04:39.4321598Z [2022-11-23 01:57:14,201] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4321739Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_254)
2022-11-23T02:04:39.4321880Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4322021Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4322144Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.4322275Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.4322412Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.4322530Z              12 RETURN_VALUE
2022-11-23T02:04:39.4322549Z 
2022-11-23T02:04:39.4322627Z  
2022-11-23T02:04:39.4322892Z [2022-11-23 01:57:14,203] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.4323001Z  - 
2022-11-23T02:04:39.4323177Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.4323278Z             {
2022-11-23T02:04:39.4323534Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.4323803Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.4323955Z                 'obj_weakref': None
2022-11-23T02:04:39.4324270Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.4324371Z             }
2022-11-23T02:04:39.4324470Z             
2022-11-23T02:04:39.4324585Z  - 
2022-11-23T02:04:39.4324764Z             local 'ex[0]' TYPE_MATCH
2022-11-23T02:04:39.4324866Z             {
2022-11-23T02:04:39.4325041Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T02:04:39.4325285Z                 'code': ['___check_type_id(ex[0], 93849142100368)'],
2022-11-23T02:04:39.4325585Z                 'obj_weakref': <weakref at 0x7fa51c170f40; to 'Tensor' at 0x7fa51c3d4ae0>
2022-11-23T02:04:39.4325931Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4326035Z             }
2022-11-23T02:04:39.4326139Z             
2022-11-23T02:04:39.4326250Z  - 
2022-11-23T02:04:39.4326409Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.4326511Z             {
2022-11-23T02:04:39.4326722Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4326879Z                 'code': None,
2022-11-23T02:04:39.4327168Z                 'obj_weakref': <weakref at 0x7fa51c170f40; to 'Tensor' at 0x7fa51c3d4ae0>
2022-11-23T02:04:39.4327513Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4327618Z             }
2022-11-23T02:04:39.4327694Z             
2022-11-23T02:04:39.4327806Z  - 
2022-11-23T02:04:39.4327997Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.4328099Z             {
2022-11-23T02:04:39.4328291Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.4328531Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.4328710Z                 'obj_weakref': None
2022-11-23T02:04:39.4329003Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.4329104Z             }
2022-11-23T02:04:39.4329209Z             
2022-11-23T02:04:39.4329320Z  - 
2022-11-23T02:04:39.4329501Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.4329603Z             {
2022-11-23T02:04:39.4329800Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.4330074Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.4330248Z                 'obj_weakref': None
2022-11-23T02:04:39.4330558Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.4330724Z             }
2022-11-23T02:04:39.4330827Z             
2022-11-23T02:04:39.4330939Z  - 
2022-11-23T02:04:39.4331126Z             global 'len' BUILTIN_MATCH
2022-11-23T02:04:39.4331205Z             {
2022-11-23T02:04:39.4331387Z                 'guard_types': None,
2022-11-23T02:04:39.4331546Z                 'code': None,
2022-11-23T02:04:39.4331717Z                 'obj_weakref': None
2022-11-23T02:04:39.4331897Z                 'guarded_class': None
2022-11-23T02:04:39.4331997Z             }
2022-11-23T02:04:39.4332097Z             
2022-11-23T02:04:39.4332184Z  - 
2022-11-23T02:04:39.4332375Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.4332483Z             {
2022-11-23T02:04:39.4332656Z                 'guard_types': None,
2022-11-23T02:04:39.4332815Z                 'code': None,
2022-11-23T02:04:39.4332989Z                 'obj_weakref': None
2022-11-23T02:04:39.4333163Z                 'guarded_class': None
2022-11-23T02:04:39.4333247Z             }
2022-11-23T02:04:39.4333351Z             
2022-11-23T02:04:39.4333717Z [2022-11-23 01:57:14,212] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 247
2022-11-23T02:04:39.4334270Z [2022-11-23 01:57:16,753] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vb/cvbuzevmy5ywg7gi5tfljwrprs6px5mecapga6aauqyvqpbafdjk.py
2022-11-23T02:04:39.4334646Z [2022-11-23 01:57:16,753] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 247
2022-11-23T02:04:39.4334667Z 
2022-11-23T02:04:39.4334807Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.4334916Z import torch
2022-11-23T02:04:39.4335002Z import random
2022-11-23T02:04:39.4335174Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.4335349Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.4335368Z 
2022-11-23T02:04:39.4335491Z aten = torch.ops.aten
2022-11-23T02:04:39.4335691Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.4335830Z async_compile = AsyncCompile()
2022-11-23T02:04:39.4335849Z 
2022-11-23T02:04:39.4335868Z 
2022-11-23T02:04:39.4336473Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.4336958Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.4337260Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.4337477Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.4337685Z {
2022-11-23T02:04:39.4337991Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.4338147Z     {
2022-11-23T02:04:39.4338331Z         #pragma omp for 
2022-11-23T02:04:39.4338476Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.4338553Z         {
2022-11-23T02:04:39.4338658Z             {
2022-11-23T02:04:39.4338760Z                 {
2022-11-23T02:04:39.4338900Z                     auto tmp2 = in_ptr0[i0];
2022-11-23T02:04:39.4339066Z                     auto tmp0 = static_cast<long>(i0);
2022-11-23T02:04:39.4339229Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:39.4339367Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:39.4339473Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:39.4339579Z                 }
2022-11-23T02:04:39.4339679Z             }
2022-11-23T02:04:39.4339778Z         }
2022-11-23T02:04:39.4339879Z     }
2022-11-23T02:04:39.4339976Z }
2022-11-23T02:04:39.4340127Z ''')
2022-11-23T02:04:39.4340146Z 
2022-11-23T02:04:39.4340165Z 
2022-11-23T02:04:39.4340280Z async_compile.wait(globals())
2022-11-23T02:04:39.4340394Z del async_compile
2022-11-23T02:04:39.4340414Z 
2022-11-23T02:04:39.4340528Z def call(args):
2022-11-23T02:04:39.4340642Z     arg0_1, = args
2022-11-23T02:04:39.4340770Z     args.clear()
2022-11-23T02:04:39.4341048Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4341224Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.4341475Z     del arg0_1
2022-11-23T02:04:39.4341588Z     return (buf0, )
2022-11-23T02:04:39.4341607Z 
2022-11-23T02:04:39.4341625Z 
2022-11-23T02:04:39.4341744Z if __name__ == "__main__":
2022-11-23T02:04:39.4341915Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.4342091Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.4342370Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4342528Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.4342547Z 
2022-11-23T02:04:39.4342657Z ok (2.575s)
2022-11-23T02:04:39.4342831Z   test_multi_device_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2022-11-23T02:04:39.4343043Z   test_multilayer_low_prec_cpu (__main__.CpuTests) ... skip: requires CUDA (0.001s)
2022-11-23T02:04:39.4343251Z   test_nan_to_num_cpu (__main__.CpuTests) ... skip: Skipping due to op bugs (0.001s)
2022-11-23T02:04:39.4343699Z   test_narrow_cpu (__main__.CpuTests) ... [2022-11-23 01:57:16,763] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.4344194Z [2022-11-23 01:57:16,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.4344511Z [2022-11-23 01:57:16,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.4344860Z [2022-11-23 01:57:16,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.4345244Z [2022-11-23 01:57:16,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.4345678Z [2022-11-23 01:57:16,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4346184Z [2022-11-23 01:57:16,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4346565Z [2022-11-23 01:57:16,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4347074Z [2022-11-23 01:57:16,764] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f78450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3599> 
2022-11-23T02:04:39.4347219Z  3600           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.4347397Z                2 LOAD_METHOD              1 (narrow)
2022-11-23T02:04:39.4347552Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.4347642Z                6 LOAD_CONST               1 (1)
2022-11-23T02:04:39.4347782Z                8 LOAD_CONST               2 (10)
2022-11-23T02:04:39.4347916Z               10 LOAD_CONST               3 (16)
2022-11-23T02:04:39.4348026Z               12 CALL_METHOD              4
2022-11-23T02:04:39.4348169Z               14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.4348308Z               16 LOAD_METHOD              1 (narrow)
2022-11-23T02:04:39.4348451Z               18 LOAD_FAST                0 (x)
2022-11-23T02:04:39.4348615Z               20 LOAD_CONST               4 (2)
2022-11-23T02:04:39.4348732Z               22 BINARY_ADD
2022-11-23T02:04:39.4348840Z               24 LOAD_CONST               5 (0)
2022-11-23T02:04:39.4348954Z               26 LOAD_CONST               2 (10)
2022-11-23T02:04:39.4349089Z               28 LOAD_CONST               3 (16)
2022-11-23T02:04:39.4349227Z               30 CALL_METHOD              4
2022-11-23T02:04:39.4349360Z               32 LOAD_CONST               1 (1)
2022-11-23T02:04:39.4349478Z               34 BINARY_ADD
2022-11-23T02:04:39.4349616Z               36 BUILD_TUPLE              2
2022-11-23T02:04:39.4349737Z               38 RETURN_VALUE
2022-11-23T02:04:39.4349831Z  
2022-11-23T02:04:39.4349943Z 
2022-11-23T02:04:39.4350345Z [2022-11-23 01:57:16,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3600
2022-11-23T02:04:39.4350648Z [2022-11-23 01:57:16,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.4351091Z [2022-11-23 01:57:16,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.4351411Z [2022-11-23 01:57:16,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.narrow)]
2022-11-23T02:04:39.4351797Z [2022-11-23 01:57:16,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T02:04:39.4352275Z [2022-11-23 01:57:16,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4352708Z [2022-11-23 01:57:16,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.4353304Z [2022-11-23 01:57:16,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.4353667Z [2022-11-23 01:57:16,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.4354115Z [2022-11-23 01:57:16,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.4354476Z [2022-11-23 01:57:16,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.narrow)]
2022-11-23T02:04:39.4354897Z [2022-11-23 01:57:16,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T02:04:39.4355379Z [2022-11-23 01:57:16,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4355801Z [2022-11-23 01:57:16,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T02:04:39.4356272Z [2022-11-23 01:57:16,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4356790Z [2022-11-23 01:57:16,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.4357360Z [2022-11-23 01:57:16,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.4357728Z [2022-11-23 01:57:16,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4358150Z [2022-11-23 01:57:16,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4358516Z [2022-11-23 01:57:16,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4358853Z [2022-11-23 01:57:16,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.4359365Z [2022-11-23 01:57:16,789] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f78450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3599>
2022-11-23T02:04:39.4359680Z [2022-11-23 01:57:16,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.4360076Z [2022-11-23 01:57:16,789] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.4360430Z [2022-11-23 01:57:16,791] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.4360776Z [2022-11-23 01:57:16,798] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.4361043Z [2022-11-23 01:57:16,798] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.4361241Z  __compiled_fn_255 <eval_with_key>.2007 opcode, name, target, args, kwargs
2022-11-23T02:04:39.4361382Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.4361556Z call_function, narrow, aten.narrow, (ex_0_, 1, 10, 16), {}
2022-11-23T02:04:39.4361776Z call_function, add, <built-in function add>, (ex_0_, 2), {}
2022-11-23T02:04:39.4361951Z call_function, narrow_1, aten.narrow, (add, 0, 10, 16), {}
2022-11-23T02:04:39.4362213Z call_function, add_1, <built-in function add>, (narrow_1, 1), {}
2022-11-23T02:04:39.4362373Z output, output, output, ((narrow, add_1),), {}
2022-11-23T02:04:39.4362393Z 
2022-11-23T02:04:39.4362890Z [2022-11-23 01:57:16,799] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4363036Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.4363178Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4363310Z               4 BUILD_MAP                0
2022-11-23T02:04:39.4363427Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.4363558Z               8 DICT_MERGE               1
2022-11-23T02:04:39.4363692Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.4363812Z              12 RETURN_VALUE
2022-11-23T02:04:39.4363831Z 
2022-11-23T02:04:39.4363928Z  
2022-11-23T02:04:39.4364371Z [2022-11-23 01:57:16,799] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4364539Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_255)
2022-11-23T02:04:39.4364679Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4364794Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4364913Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.4365046Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.4365204Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.4365356Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.4365491Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4365610Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.4365737Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.4365872Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.4365990Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.4366121Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.4366232Z              26 RETURN_VALUE
2022-11-23T02:04:39.4366253Z 
2022-11-23T02:04:39.4366351Z  
2022-11-23T02:04:39.4366621Z [2022-11-23 01:57:16,800] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.4366711Z  - 
2022-11-23T02:04:39.4366890Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.4366993Z             {
2022-11-23T02:04:39.4367201Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.4367464Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.4367642Z                 'obj_weakref': None
2022-11-23T02:04:39.4367956Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.4368036Z             }
2022-11-23T02:04:39.4368146Z             
2022-11-23T02:04:39.4368259Z  - 
2022-11-23T02:04:39.4368442Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.4368544Z             {
2022-11-23T02:04:39.4368829Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4368987Z                 'code': None,
2022-11-23T02:04:39.4369264Z                 'obj_weakref': <weakref at 0x7fa51c1d6070; to 'Tensor' at 0x7fa51c49bdd0>
2022-11-23T02:04:39.4369611Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4369719Z             }
2022-11-23T02:04:39.4369820Z             
2022-11-23T02:04:39.4369935Z  - 
2022-11-23T02:04:39.4370122Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.4370223Z             {
2022-11-23T02:04:39.4370394Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.4370637Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.4370815Z                 'obj_weakref': None
2022-11-23T02:04:39.4371134Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.4371237Z             }
2022-11-23T02:04:39.4371342Z             
2022-11-23T02:04:39.4371455Z  - 
2022-11-23T02:04:39.4371610Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.4371719Z             {
2022-11-23T02:04:39.4371922Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.4372285Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.4372475Z                 'obj_weakref': None
2022-11-23T02:04:39.4372783Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.4372887Z             }
2022-11-23T02:04:39.4372962Z             
2022-11-23T02:04:39.4373075Z  - 
2022-11-23T02:04:39.4373261Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.4373362Z             {
2022-11-23T02:04:39.4373538Z                 'guard_types': None,
2022-11-23T02:04:39.4373701Z                 'code': None,
2022-11-23T02:04:39.4373871Z                 'obj_weakref': None
2022-11-23T02:04:39.4374030Z                 'guarded_class': None
2022-11-23T02:04:39.4374139Z             }
2022-11-23T02:04:39.4374234Z             
2022-11-23T02:04:39.4374598Z [2022-11-23 01:57:16,812] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 248
2022-11-23T02:04:39.4375104Z [2022-11-23 01:57:19,458] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yy/cyyw4uh7amcajjijgieifpa3idvbhs3uyaxvlpdp7cfl6mdez445.py
2022-11-23T02:04:39.4375470Z [2022-11-23 01:57:19,459] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 248
2022-11-23T02:04:39.4375492Z 
2022-11-23T02:04:39.4375633Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.4375746Z import torch
2022-11-23T02:04:39.4375833Z import random
2022-11-23T02:04:39.4376003Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.4376724Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.4376752Z 
2022-11-23T02:04:39.4376949Z aten = torch.ops.aten
2022-11-23T02:04:39.4377286Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.4377513Z async_compile = AsyncCompile()
2022-11-23T02:04:39.4377538Z 
2022-11-23T02:04:39.4377562Z 
2022-11-23T02:04:39.4377925Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.4378258Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.4378412Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.4378561Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.4378664Z {
2022-11-23T02:04:39.4378812Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.4378911Z     {
2022-11-23T02:04:39.4379030Z         #pragma omp for 
2022-11-23T02:04:39.4379159Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T02:04:39.4379236Z         {
2022-11-23T02:04:39.4379468Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 640 + (8*i0));
2022-11-23T02:04:39.4379661Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:39.4379945Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4380135Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.4380267Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.4380412Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.4380490Z         }
2022-11-23T02:04:39.4380632Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.4380765Z         for(long i0=1024; i0<1024; i0+=1)
2022-11-23T02:04:39.4380865Z         {
2022-11-23T02:04:39.4380999Z             auto tmp0 = in_ptr0[640 + i0];
2022-11-23T02:04:39.4381154Z             auto tmp1 = static_cast<float>(2);
2022-11-23T02:04:39.4381282Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4381404Z             auto tmp3 = static_cast<float>(1);
2022-11-23T02:04:39.4381532Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.4381655Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:39.4381758Z         }
2022-11-23T02:04:39.4381854Z     }
2022-11-23T02:04:39.4381955Z }
2022-11-23T02:04:39.4382090Z ''')
2022-11-23T02:04:39.4382110Z 
2022-11-23T02:04:39.4382129Z 
2022-11-23T02:04:39.4382243Z async_compile.wait(globals())
2022-11-23T02:04:39.4382359Z del async_compile
2022-11-23T02:04:39.4382454Z 
2022-11-23T02:04:39.4382572Z def call(args):
2022-11-23T02:04:39.4382683Z     arg0_1, = args
2022-11-23T02:04:39.4382794Z     args.clear()
2022-11-23T02:04:39.4383075Z     buf0 = empty_strided((16, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4383269Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.4383434Z     return (as_strided(arg0_1, (64, 16), (64, 1), 10), buf0, )
2022-11-23T02:04:39.4383454Z 
2022-11-23T02:04:39.4383472Z 
2022-11-23T02:04:39.4383569Z if __name__ == "__main__":
2022-11-23T02:04:39.4383738Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.4383915Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.4384203Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4384361Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.4384380Z 
2022-11-23T02:04:39.4384489Z ok (2.702s)
2022-11-23T02:04:39.4384927Z   test_new_empty_strided_cpu (__main__.CpuTests) ... [2022-11-23 01:57:19,465] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.4385420Z [2022-11-23 01:57:19,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.4385728Z [2022-11-23 01:57:19,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.4386054Z [2022-11-23 01:57:19,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.4386459Z [2022-11-23 01:57:19,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.4386871Z [2022-11-23 01:57:19,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4387341Z [2022-11-23 01:57:19,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4387826Z [2022-11-23 01:57:19,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4388364Z [2022-11-23 01:57:19,466] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f79a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3813> 
2022-11-23T02:04:39.4388511Z  3814           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.4388677Z                2 LOAD_METHOD              1 (new_empty_strided)
2022-11-23T02:04:39.4388809Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.4388956Z                6 BUILD_LIST               0
2022-11-23T02:04:39.4389104Z                8 LOAD_CONST               1 ((1, 128, 128))
2022-11-23T02:04:39.4389237Z               10 LIST_EXTEND              1
2022-11-23T02:04:39.4389371Z               12 BUILD_LIST               0
2022-11-23T02:04:39.4389517Z               14 LOAD_CONST               2 ((16384, 128, 1))
2022-11-23T02:04:39.4389652Z               16 LIST_EXTEND              1
2022-11-23T02:04:39.4389786Z               18 CALL_METHOD              3
2022-11-23T02:04:39.4389903Z               20 LOAD_METHOD              2 (fill_)
2022-11-23T02:04:39.4390039Z               22 LOAD_CONST               3 (123)
2022-11-23T02:04:39.4390171Z               24 CALL_METHOD              1
2022-11-23T02:04:39.4390291Z               26 RETURN_VALUE
2022-11-23T02:04:39.4390388Z  
2022-11-23T02:04:39.4390408Z 
2022-11-23T02:04:39.4390841Z [2022-11-23 01:57:19,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3814
2022-11-23T02:04:39.4391189Z [2022-11-23 01:57:19,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.4391685Z [2022-11-23 01:57:19,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_empty_strided [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.4392064Z [2022-11-23 01:57:19,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_empty_strided)]
2022-11-23T02:04:39.4392448Z [2022-11-23 01:57:19,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_empty_strided), TensorVariable()]
2022-11-23T02:04:39.4392900Z [2022-11-23 01:57:19,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 128, 128) [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.4393401Z [2022-11-23 01:57:19,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:39.4393850Z [2022-11-23 01:57:19,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.4394337Z [2022-11-23 01:57:19,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (16384, 128, 1) [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.4394862Z [2022-11-23 01:57:19,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:39.4395340Z [2022-11-23 01:57:19,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.4395674Z [2022-11-23 01:57:19,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill_ [TensorVariable()]
2022-11-23T02:04:39.4396054Z [2022-11-23 01:57:19,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 123 [GetAttrVariable(TensorVariable(), fill_)]
2022-11-23T02:04:39.4396491Z [2022-11-23 01:57:19,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), fill_), ConstantVariable(int)]
2022-11-23T02:04:39.4396829Z [2022-11-23 01:57:19,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.4397320Z [2022-11-23 01:57:19,481] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f79a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3813>
2022-11-23T02:04:39.4397666Z [2022-11-23 01:57:19,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.4397994Z [2022-11-23 01:57:19,481] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.4398441Z [2022-11-23 01:57:19,483] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.4398793Z [2022-11-23 01:57:19,488] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.4399061Z [2022-11-23 01:57:19,488] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.4399286Z  __compiled_fn_256 <eval_with_key>.2013 opcode, name, target, args, kwargs
2022-11-23T02:04:39.4399515Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.4399767Z call_function, new_empty_strided, aten.new_empty_strided, (ex_0_, [1, 128, 128], [16384, 128, 1]), {}
2022-11-23T02:04:39.4399914Z call_method, fill_, fill_, (new_empty_strided, 123), {}
2022-11-23T02:04:39.4400062Z output, output, output, ((fill_,),), {}
2022-11-23T02:04:39.4400082Z 
2022-11-23T02:04:39.4400647Z [2022-11-23 01:57:19,489] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4400815Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.4400939Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4401119Z               4 BUILD_MAP                0
2022-11-23T02:04:39.4401291Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.4401440Z               8 DICT_MERGE               1
2022-11-23T02:04:39.4401540Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.4401657Z              12 RETURN_VALUE
2022-11-23T02:04:39.4401677Z 
2022-11-23T02:04:39.4401772Z  
2022-11-23T02:04:39.4402215Z [2022-11-23 01:57:19,489] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4402375Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_256)
2022-11-23T02:04:39.4402513Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4402653Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4402780Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.4402888Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.4403022Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.4403141Z              12 RETURN_VALUE
2022-11-23T02:04:39.4403164Z 
2022-11-23T02:04:39.4403263Z  
2022-11-23T02:04:39.4403523Z [2022-11-23 01:57:19,490] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.4403697Z  - 
2022-11-23T02:04:39.4403869Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.4403947Z             {
2022-11-23T02:04:39.4404152Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.4404418Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.4404600Z                 'obj_weakref': None
2022-11-23T02:04:39.4404919Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.4405020Z             }
2022-11-23T02:04:39.4405128Z             
2022-11-23T02:04:39.4405216Z  - 
2022-11-23T02:04:39.4405394Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.4405495Z             {
2022-11-23T02:04:39.4405701Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4405861Z                 'code': None,
2022-11-23T02:04:39.4406158Z                 'obj_weakref': <weakref at 0x7fa51c3a3420; to 'Tensor' at 0x7fa51c408d10>
2022-11-23T02:04:39.4406509Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4406587Z             }
2022-11-23T02:04:39.4406691Z             
2022-11-23T02:04:39.4406803Z  - 
2022-11-23T02:04:39.4406991Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.4407090Z             {
2022-11-23T02:04:39.4407282Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.4407520Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.4407669Z                 'obj_weakref': None
2022-11-23T02:04:39.4408081Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.4408182Z             }
2022-11-23T02:04:39.4408286Z             
2022-11-23T02:04:39.4408396Z  - 
2022-11-23T02:04:39.4408583Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.4408689Z             {
2022-11-23T02:04:39.4408862Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.4409164Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.4409340Z                 'obj_weakref': None
2022-11-23T02:04:39.4409645Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.4409742Z             }
2022-11-23T02:04:39.4409842Z             
2022-11-23T02:04:39.4409949Z  - 
2022-11-23T02:04:39.4410114Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.4410215Z             {
2022-11-23T02:04:39.4410394Z                 'guard_types': None,
2022-11-23T02:04:39.4410550Z                 'code': None,
2022-11-23T02:04:39.4410721Z                 'obj_weakref': None
2022-11-23T02:04:39.4410895Z                 'guarded_class': None
2022-11-23T02:04:39.4410994Z             }
2022-11-23T02:04:39.4411125Z             
2022-11-23T02:04:39.4411491Z [2022-11-23 01:57:19,499] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 249
2022-11-23T02:04:39.4411990Z [2022-11-23 01:57:22,069] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/as/casquhxm7gpvpjtkfe3d5x5cgu7s2kvhygxj2sm2zcupce3ql46h.py
2022-11-23T02:04:39.4412358Z [2022-11-23 01:57:22,069] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 249
2022-11-23T02:04:39.4412378Z 
2022-11-23T02:04:39.4412519Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.4412631Z import torch
2022-11-23T02:04:39.4412740Z import random
2022-11-23T02:04:39.4412885Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.4413068Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.4413089Z 
2022-11-23T02:04:39.4413211Z aten = torch.ops.aten
2022-11-23T02:04:39.4413403Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.4413546Z async_compile = AsyncCompile()
2022-11-23T02:04:39.4413566Z 
2022-11-23T02:04:39.4413584Z 
2022-11-23T02:04:39.4413780Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.4414062Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.4414226Z extern "C" void kernel(float* __restrict__ out_ptr0)
2022-11-23T02:04:39.4414301Z {
2022-11-23T02:04:39.4414446Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.4414545Z     {
2022-11-23T02:04:39.4414664Z         #pragma omp for 
2022-11-23T02:04:39.4414789Z         for(long i0=0; i0<2048; i0+=1)
2022-11-23T02:04:39.4414888Z         {
2022-11-23T02:04:39.4415103Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(123));
2022-11-23T02:04:39.4415220Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.4415317Z         }
2022-11-23T02:04:39.4415462Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.4415602Z         for(long i0=16384; i0<16384; i0+=1)
2022-11-23T02:04:39.4415698Z         {
2022-11-23T02:04:39.4415851Z             auto tmp0 = static_cast<float>(123);
2022-11-23T02:04:39.4415981Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.4416397Z         }
2022-11-23T02:04:39.4416589Z     }
2022-11-23T02:04:39.4416686Z }
2022-11-23T02:04:39.4416819Z ''')
2022-11-23T02:04:39.4416839Z 
2022-11-23T02:04:39.4416858Z 
2022-11-23T02:04:39.4416996Z async_compile.wait(globals())
2022-11-23T02:04:39.4417109Z del async_compile
2022-11-23T02:04:39.4417128Z 
2022-11-23T02:04:39.4417241Z def call(args):
2022-11-23T02:04:39.4417328Z     arg0_1, = args
2022-11-23T02:04:39.4417440Z     args.clear()
2022-11-23T02:04:39.4417744Z     buf0 = empty_strided((1, 128, 128), (16384, 128, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4418036Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.4418149Z     return (buf0, )
2022-11-23T02:04:39.4418168Z 
2022-11-23T02:04:39.4418186Z 
2022-11-23T02:04:39.4418305Z if __name__ == "__main__":
2022-11-23T02:04:39.4418476Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.4418654Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.4418908Z     arg0_1 = rand_strided((55, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4419064Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.4419083Z 
2022-11-23T02:04:39.4419193Z ok (2.610s)
2022-11-23T02:04:39.4419616Z   test_new_ones_cpu (__main__.CpuTests) ... [2022-11-23 01:57:22,076] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.4420045Z [2022-11-23 01:57:22,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.4420353Z [2022-11-23 01:57:22,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.4420770Z [2022-11-23 01:57:22,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.4421156Z [2022-11-23 01:57:22,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.4421591Z [2022-11-23 01:57:22,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4422057Z [2022-11-23 01:57:22,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4422470Z [2022-11-23 01:57:22,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4422980Z [2022-11-23 01:57:22,077] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9f470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2793> 
2022-11-23T02:04:39.4423127Z  2795           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.4423280Z                2 LOAD_ATTR                1 (new_ones)
2022-11-23T02:04:39.4423300Z 
2022-11-23T02:04:39.4423436Z 2796           4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.4423569Z                6 BUILD_LIST               0
2022-11-23T02:04:39.4423703Z                8 LOAD_FAST                0 (a)
2022-11-23T02:04:39.4423843Z               10 LOAD_ATTR                2 (device)
2022-11-23T02:04:39.4423954Z               12 LOAD_CONST               1 (6)
2022-11-23T02:04:39.4424091Z               14 LOAD_CONST               2 (0)
2022-11-23T02:04:39.4424230Z               16 LOAD_CONST               3 (False)
2022-11-23T02:04:39.4424250Z 
2022-11-23T02:04:39.4424535Z 2795          18 LOAD_CONST               4 (('device', 'dtype', 'layout', 'pin_memory'))
2022-11-23T02:04:39.4424680Z               20 CALL_FUNCTION_KW         6
2022-11-23T02:04:39.4424700Z 
2022-11-23T02:04:39.4424841Z 2798          22 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.4424989Z               24 LOAD_ATTR                3 (new_zeros)
2022-11-23T02:04:39.4425009Z 
2022-11-23T02:04:39.4425144Z 2799          26 LOAD_FAST                0 (a)
2022-11-23T02:04:39.4425253Z               28 BUILD_LIST               0
2022-11-23T02:04:39.4425388Z               30 LOAD_FAST                0 (a)
2022-11-23T02:04:39.4425529Z               32 LOAD_ATTR                2 (device)
2022-11-23T02:04:39.4425668Z               34 LOAD_CONST               1 (6)
2022-11-23T02:04:39.4425802Z               36 LOAD_CONST               2 (0)
2022-11-23T02:04:39.4425940Z               38 LOAD_CONST               3 (False)
2022-11-23T02:04:39.4425958Z 
2022-11-23T02:04:39.4426242Z 2798          40 LOAD_CONST               4 (('device', 'dtype', 'layout', 'pin_memory'))
2022-11-23T02:04:39.4426461Z               42 CALL_FUNCTION_KW         6
2022-11-23T02:04:39.4426481Z 
2022-11-23T02:04:39.4426590Z 2794          44 BUILD_TUPLE              2
2022-11-23T02:04:39.4426710Z               46 RETURN_VALUE
2022-11-23T02:04:39.4426811Z  
2022-11-23T02:04:39.4426830Z 
2022-11-23T02:04:39.4427264Z [2022-11-23 01:57:22,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2795
2022-11-23T02:04:39.4427571Z [2022-11-23 01:57:22,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.4427989Z [2022-11-23 01:57:22,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_ones [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.4428415Z [2022-11-23 01:57:22,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2796
2022-11-23T02:04:39.4428775Z [2022-11-23 01:57:22,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_ones)]
2022-11-23T02:04:39.4429165Z [2022-11-23 01:57:22,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_ones), TensorVariable()]
2022-11-23T02:04:39.4429645Z [2022-11-23 01:57:22,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_ones), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.4430089Z [2022-11-23 01:57:22,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.4430542Z [2022-11-23 01:57:22,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu)]
2022-11-23T02:04:39.4431049Z [2022-11-23 01:57:22,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int)]
2022-11-23T02:04:39.4431637Z [2022-11-23 01:57:22,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.4432066Z [2022-11-23 01:57:22,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2795
2022-11-23T02:04:39.4432757Z [2022-11-23 01:57:22,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout', 'pin_memory') [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T02:04:39.4433424Z [2022-11-23 01:57:22,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T02:04:39.4433900Z [2022-11-23 01:57:22,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2798
2022-11-23T02:04:39.4434202Z [2022-11-23 01:57:22,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.4434662Z [2022-11-23 01:57:22,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_zeros [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.4435082Z [2022-11-23 01:57:22,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2799
2022-11-23T02:04:39.4435476Z [2022-11-23 01:57:22,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.new_zeros)]
2022-11-23T02:04:39.4435911Z [2022-11-23 01:57:22,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable()]
2022-11-23T02:04:39.4436418Z [2022-11-23 01:57:22,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.4436928Z [2022-11-23 01:57:22,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.4437419Z [2022-11-23 01:57:22,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu)]
2022-11-23T02:04:39.4437963Z [2022-11-23 01:57:22,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int)]
2022-11-23T02:04:39.4438560Z [2022-11-23 01:57:22,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.4439053Z [2022-11-23 01:57:22,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2798
2022-11-23T02:04:39.4439781Z [2022-11-23 01:57:22,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout', 'pin_memory') [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T02:04:39.4440500Z [2022-11-23 01:57:22,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T02:04:39.4440918Z [2022-11-23 01:57:22,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2794
2022-11-23T02:04:39.4441286Z [2022-11-23 01:57:22,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4441623Z [2022-11-23 01:57:22,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.4442141Z [2022-11-23 01:57:22,101] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9f470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2793>
2022-11-23T02:04:39.4442483Z [2022-11-23 01:57:22,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.4442804Z [2022-11-23 01:57:22,101] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.4443141Z [2022-11-23 01:57:22,103] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.4443484Z [2022-11-23 01:57:22,109] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.4443753Z [2022-11-23 01:57:22,109] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.4443954Z  __compiled_fn_257 <eval_with_key>.2019 opcode, name, target, args, kwargs
2022-11-23T02:04:39.4444090Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.4444490Z call_function, new_ones, aten.new_ones, (ex_0_, []), {'device': device(type='cpu'), 'dtype': 6, 'layout': 0, 'pin_memory': False}
2022-11-23T02:04:39.4444904Z call_function, new_zeros, aten.new_zeros, (ex_0_, []), {'device': device(type='cpu'), 'dtype': 6, 'layout': 0, 'pin_memory': False}
2022-11-23T02:04:39.4445028Z output, output, output, ((new_ones, new_zeros),), {}
2022-11-23T02:04:39.4445089Z 
2022-11-23T02:04:39.4445539Z [2022-11-23 01:57:22,110] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4445761Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.4445901Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4446063Z               4 BUILD_MAP                0
2022-11-23T02:04:39.4446181Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.4446332Z               8 DICT_MERGE               1
2022-11-23T02:04:39.4446499Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.4446568Z              12 RETURN_VALUE
2022-11-23T02:04:39.4446589Z 
2022-11-23T02:04:39.4446663Z  
2022-11-23T02:04:39.4447118Z [2022-11-23 01:57:22,110] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4447275Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_257)
2022-11-23T02:04:39.4447411Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4447554Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4447673Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.4447809Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.4448016Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.4448153Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.4448288Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4448409Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.4448559Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.4448691Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.4448808Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.4448939Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.4449033Z              26 RETURN_VALUE
2022-11-23T02:04:39.4449053Z 
2022-11-23T02:04:39.4449153Z  
2022-11-23T02:04:39.4449428Z [2022-11-23 01:57:22,111] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.4449546Z  - 
2022-11-23T02:04:39.4449719Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.4449821Z             {
2022-11-23T02:04:39.4450023Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.4450263Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.4450441Z                 'obj_weakref': None
2022-11-23T02:04:39.4450798Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.4450911Z             }
2022-11-23T02:04:39.4450984Z             
2022-11-23T02:04:39.4451082Z  - 
2022-11-23T02:04:39.4451261Z             local 'ex[0]' TYPE_MATCH
2022-11-23T02:04:39.4451339Z             {
2022-11-23T02:04:39.4451539Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T02:04:39.4451775Z                 'code': ['___check_type_id(ex[0], 93849142100368)'],
2022-11-23T02:04:39.4452094Z                 'obj_weakref': <weakref at 0x7fa51c422ac0; to 'Tensor' at 0x7fa51c3bd5d0>
2022-11-23T02:04:39.4452424Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4452527Z             }
2022-11-23T02:04:39.4452631Z             
2022-11-23T02:04:39.4452722Z  - 
2022-11-23T02:04:39.4452905Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.4453006Z             {
2022-11-23T02:04:39.4453261Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4453422Z                 'code': None,
2022-11-23T02:04:39.4453677Z                 'obj_weakref': <weakref at 0x7fa51c422ac0; to 'Tensor' at 0x7fa51c3bd5d0>
2022-11-23T02:04:39.4454021Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4454100Z             }
2022-11-23T02:04:39.4454202Z             
2022-11-23T02:04:39.4454316Z  - 
2022-11-23T02:04:39.4454547Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.4454731Z             {
2022-11-23T02:04:39.4454931Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.4455171Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.4455322Z                 'obj_weakref': None
2022-11-23T02:04:39.4455641Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.4455768Z             }
2022-11-23T02:04:39.4455861Z             
2022-11-23T02:04:39.4455954Z  - 
2022-11-23T02:04:39.4456369Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.4456508Z             {
2022-11-23T02:04:39.4456651Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.4456969Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.4457138Z                 'obj_weakref': None
2022-11-23T02:04:39.4457461Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.4457567Z             }
2022-11-23T02:04:39.4457641Z             
2022-11-23T02:04:39.4457750Z  - 
2022-11-23T02:04:39.4457913Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.4458013Z             {
2022-11-23T02:04:39.4458198Z                 'guard_types': None,
2022-11-23T02:04:39.4458454Z                 'code': None,
2022-11-23T02:04:39.4458638Z                 'obj_weakref': None
2022-11-23T02:04:39.4458811Z                 'guarded_class': None
2022-11-23T02:04:39.4458910Z             }
2022-11-23T02:04:39.4458986Z             
2022-11-23T02:04:39.4459347Z [2022-11-23 01:57:22,122] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 250
2022-11-23T02:04:39.4459842Z [2022-11-23 01:57:24,674] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eb/cebs3dpuecfm7ugllnj5tqhjsqbrzbpw6tax5lshr3uz354yfypf.py
2022-11-23T02:04:39.4460207Z [2022-11-23 01:57:24,674] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 250
2022-11-23T02:04:39.4460233Z 
2022-11-23T02:04:39.4460378Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.4460487Z import torch
2022-11-23T02:04:39.4460603Z import random
2022-11-23T02:04:39.4460770Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.4460926Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.4460945Z 
2022-11-23T02:04:39.4461070Z aten = torch.ops.aten
2022-11-23T02:04:39.4461292Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.4461407Z async_compile = AsyncCompile()
2022-11-23T02:04:39.4461423Z 
2022-11-23T02:04:39.4461442Z 
2022-11-23T02:04:39.4461635Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.4461920Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.4462086Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T02:04:39.4462232Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.4462312Z {
2022-11-23T02:04:39.4462460Z     {
2022-11-23T02:04:39.4462521Z         {
2022-11-23T02:04:39.4462661Z             auto tmp0 = static_cast<float>(1);
2022-11-23T02:04:39.4462786Z             out_ptr0[0] = tmp0;
2022-11-23T02:04:39.4462882Z         }
2022-11-23T02:04:39.4462956Z     }
2022-11-23T02:04:39.4463065Z     {
2022-11-23T02:04:39.4463164Z         {
2022-11-23T02:04:39.4463311Z             auto tmp0 = static_cast<float>(0);
2022-11-23T02:04:39.4463429Z             out_ptr1[0] = tmp0;
2022-11-23T02:04:39.4463527Z         }
2022-11-23T02:04:39.4463624Z     }
2022-11-23T02:04:39.4463696Z }
2022-11-23T02:04:39.4463823Z ''')
2022-11-23T02:04:39.4463843Z 
2022-11-23T02:04:39.4463861Z 
2022-11-23T02:04:39.4464043Z async_compile.wait(globals())
2022-11-23T02:04:39.4464157Z del async_compile
2022-11-23T02:04:39.4464157Z 
2022-11-23T02:04:39.4464249Z def call(args):
2022-11-23T02:04:39.4464364Z     arg0_1, = args
2022-11-23T02:04:39.4464480Z     args.clear()
2022-11-23T02:04:39.4464716Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4465082Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4465273Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.4465398Z     return (buf0, buf1, )
2022-11-23T02:04:39.4465418Z 
2022-11-23T02:04:39.4465436Z 
2022-11-23T02:04:39.4465555Z if __name__ == "__main__":
2022-11-23T02:04:39.4465722Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.4465903Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.4466174Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4466323Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.4466365Z 
2022-11-23T02:04:39.4466485Z ok (2.605s)
2022-11-23T02:04:39.4466874Z   test_nll_loss_forward_cpu (__main__.CpuTests) ... [2022-11-23 01:57:24,682] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.4467306Z [2022-11-23 01:57:24,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.4467609Z [2022-11-23 01:57:24,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.4468006Z [2022-11-23 01:57:24,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.4468446Z [2022-11-23 01:57:24,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.4468834Z [2022-11-23 01:57:24,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4469301Z [2022-11-23 01:57:24,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4469737Z [2022-11-23 01:57:24,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4470269Z [2022-11-23 01:57:24,684] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8aa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3342> 
2022-11-23T02:04:39.4470413Z  3343           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.4470535Z                2 LOAD_METHOD              1 (nll_loss_forward)
2022-11-23T02:04:39.4470671Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.4470805Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.4470944Z                8 LOAD_CONST               0 (None)
2022-11-23T02:04:39.4471078Z               10 LOAD_CONST               1 (1)
2022-11-23T02:04:39.4471280Z               12 LOAD_CONST               2 (-100)
2022-11-23T02:04:39.4471388Z               14 CALL_METHOD              5
2022-11-23T02:04:39.4471508Z               16 RETURN_VALUE
2022-11-23T02:04:39.4471611Z  
2022-11-23T02:04:39.4471630Z 
2022-11-23T02:04:39.4472059Z [2022-11-23 01:57:24,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3343
2022-11-23T02:04:39.4472365Z [2022-11-23 01:57:24,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.4472809Z [2022-11-23 01:57:24,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nll_loss_forward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.4473177Z [2022-11-23 01:57:24,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.nll_loss_forward)]
2022-11-23T02:04:39.4473576Z [2022-11-23 01:57:24,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.nll_loss_forward), TensorVariable()]
2022-11-23T02:04:39.4474020Z [2022-11-23 01:57:24,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4474588Z [2022-11-23 01:57:24,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.4475123Z [2022-11-23 01:57:24,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -100 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T02:04:39.4475723Z [2022-11-23 01:57:24,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.4476066Z [2022-11-23 01:57:24,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.4476590Z [2022-11-23 01:57:24,699] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8aa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3342>
2022-11-23T02:04:39.4476936Z [2022-11-23 01:57:24,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.4477314Z [2022-11-23 01:57:24,700] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.4477670Z [2022-11-23 01:57:24,702] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.4478020Z [2022-11-23 01:57:24,709] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.4478281Z [2022-11-23 01:57:24,710] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.4478475Z  __compiled_fn_258 <eval_with_key>.2025 opcode, name, target, args, kwargs
2022-11-23T02:04:39.4478589Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.4478719Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.4479028Z call_function, nll_loss_forward, aten.nll_loss_forward, (ex_0_, ex_1_, None, 1, -100), {}
2022-11-23T02:04:39.4479309Z call_function, getitem, <built-in function getitem>, (nll_loss_forward, 0), {}
2022-11-23T02:04:39.4479601Z call_function, getitem_1, <built-in function getitem>, (nll_loss_forward, 1), {}
2022-11-23T02:04:39.4479773Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T02:04:39.4479793Z 
2022-11-23T02:04:39.4480234Z [2022-11-23 01:57:24,710] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4480375Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.4480489Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4480619Z               4 BUILD_MAP                0
2022-11-23T02:04:39.4480762Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.4480894Z               8 DICT_MERGE               1
2022-11-23T02:04:39.4481035Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.4481155Z              12 RETURN_VALUE
2022-11-23T02:04:39.4481175Z 
2022-11-23T02:04:39.4481271Z  
2022-11-23T02:04:39.4481719Z [2022-11-23 01:57:24,711] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4481857Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_258)
2022-11-23T02:04:39.4481997Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4482136Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4482256Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.4482390Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4482527Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.4482643Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.4482750Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.4482907Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.4483132Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.4483269Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4483389Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.4483543Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.4483680Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.4483772Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.4483908Z              30 BUILD_TUPLE              2
2022-11-23T02:04:39.4484021Z              32 RETURN_VALUE
2022-11-23T02:04:39.4484040Z 
2022-11-23T02:04:39.4484136Z  
2022-11-23T02:04:39.4484400Z [2022-11-23 01:57:24,712] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.4484515Z  - 
2022-11-23T02:04:39.4484689Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.4484769Z             {
2022-11-23T02:04:39.4484969Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.4485303Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.4485484Z                 'obj_weakref': None
2022-11-23T02:04:39.4485796Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.4485897Z             }
2022-11-23T02:04:39.4486054Z             
2022-11-23T02:04:39.4486148Z  - 
2022-11-23T02:04:39.4486332Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.4486433Z             {
2022-11-23T02:04:39.4486638Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4486796Z                 'code': None,
2022-11-23T02:04:39.4487085Z                 'obj_weakref': <weakref at 0x7fa51c1700e0; to 'Tensor' at 0x7fa51c49bdd0>
2022-11-23T02:04:39.4487434Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4487534Z             }
2022-11-23T02:04:39.4487611Z             
2022-11-23T02:04:39.4487722Z  - 
2022-11-23T02:04:39.4487910Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.4488007Z             {
2022-11-23T02:04:39.4488213Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4488373Z                 'code': None,
2022-11-23T02:04:39.4488648Z                 'obj_weakref': <weakref at 0x7fa51c138fe0; to 'Tensor' at 0x7fa6237e3a60>
2022-11-23T02:04:39.4488991Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4489096Z             }
2022-11-23T02:04:39.4489195Z             
2022-11-23T02:04:39.4489310Z  - 
2022-11-23T02:04:39.4489497Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.4489600Z             {
2022-11-23T02:04:39.4489769Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.4490005Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.4490175Z                 'obj_weakref': None
2022-11-23T02:04:39.4490486Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.4490593Z             }
2022-11-23T02:04:39.4490693Z             
2022-11-23T02:04:39.4490803Z  - 
2022-11-23T02:04:39.4490956Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.4491058Z             {
2022-11-23T02:04:39.4491255Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.4491553Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.4491726Z                 'obj_weakref': None
2022-11-23T02:04:39.4492039Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.4492139Z             }
2022-11-23T02:04:39.4492215Z             
2022-11-23T02:04:39.4492326Z  - 
2022-11-23T02:04:39.4492509Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.4492614Z             {
2022-11-23T02:04:39.4492789Z                 'guard_types': None,
2022-11-23T02:04:39.4492951Z                 'code': None,
2022-11-23T02:04:39.4493194Z                 'obj_weakref': None
2022-11-23T02:04:39.4493347Z                 'guarded_class': None
2022-11-23T02:04:39.4493451Z             }
2022-11-23T02:04:39.4493550Z             
2022-11-23T02:04:39.4493914Z [2022-11-23 01:57:24,727] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 251
2022-11-23T02:04:39.4494420Z [2022-11-23 01:57:27,350] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/px/cpxxhlrz7rfzj3iseiv3fsejzf7toyjpwuphvv5p6cg4vl5k4wh3.py
2022-11-23T02:04:39.4494782Z [2022-11-23 01:57:27,350] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 251
2022-11-23T02:04:39.4494803Z 
2022-11-23T02:04:39.4494945Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.4495111Z import torch
2022-11-23T02:04:39.4495265Z import random
2022-11-23T02:04:39.4495435Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.4495609Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.4495632Z 
2022-11-23T02:04:39.4495752Z aten = torch.ops.aten
2022-11-23T02:04:39.4495946Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.4496432Z async_compile = AsyncCompile()
2022-11-23T02:04:39.4496456Z 
2022-11-23T02:04:39.4496591Z 
2022-11-23T02:04:39.4496813Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.4497103Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.4497251Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.4497410Z                        const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.4497564Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.4497710Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.4497808Z {
2022-11-23T02:04:39.4497941Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T02:04:39.4498036Z     {
2022-11-23T02:04:39.4498112Z         {
2022-11-23T02:04:39.4498239Z             float tmp3 = 0;
2022-11-23T02:04:39.4498368Z             for(long i0=0; i0<5; i0+=1)
2022-11-23T02:04:39.4498469Z             {
2022-11-23T02:04:39.4498569Z                 {
2022-11-23T02:04:39.4498707Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.4498862Z                     auto tmp1 = in_ptr1[tmp0 + (5*i0)];
2022-11-23T02:04:39.4499027Z                     auto tmp2 = -tmp1;
2022-11-23T02:04:39.4499144Z                     tmp3 += tmp2;
2022-11-23T02:04:39.4499248Z                 }
2022-11-23T02:04:39.4499350Z             }
2022-11-23T02:04:39.4499471Z             out_ptr0[0] = tmp3;
2022-11-23T02:04:39.4499573Z         }
2022-11-23T02:04:39.4499647Z     }
2022-11-23T02:04:39.4499747Z     {
2022-11-23T02:04:39.4499842Z         {
2022-11-23T02:04:39.4499971Z             auto tmp0 = out_ptr0[0];
2022-11-23T02:04:39.4500121Z             auto tmp1 = static_cast<float>(5);
2022-11-23T02:04:39.4500245Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.4500373Z             in_out_ptr0[0] = tmp2;
2022-11-23T02:04:39.4500449Z         }
2022-11-23T02:04:39.4500547Z     }
2022-11-23T02:04:39.4500646Z     {
2022-11-23T02:04:39.4500745Z         {
2022-11-23T02:04:39.4500898Z             auto tmp0 = static_cast<float>(5.0);
2022-11-23T02:04:39.4501021Z             out_ptr1[0] = tmp0;
2022-11-23T02:04:39.4501119Z         }
2022-11-23T02:04:39.4501192Z     }
2022-11-23T02:04:39.4501290Z }
2022-11-23T02:04:39.4501420Z ''')
2022-11-23T02:04:39.4501440Z 
2022-11-23T02:04:39.4501458Z 
2022-11-23T02:04:39.4501599Z async_compile.wait(globals())
2022-11-23T02:04:39.4501715Z del async_compile
2022-11-23T02:04:39.4501734Z 
2022-11-23T02:04:39.4501851Z def call(args):
2022-11-23T02:04:39.4501970Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.4502060Z     args.clear()
2022-11-23T02:04:39.4502324Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4502455Z     buf1 = buf0; del buf0  # reuse
2022-11-23T02:04:39.4502704Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4503080Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.4503191Z     del arg0_1
2022-11-23T02:04:39.4503297Z     del arg1_1
2022-11-23T02:04:39.4503397Z     return (buf1, buf2, )
2022-11-23T02:04:39.4503441Z 
2022-11-23T02:04:39.4503460Z 
2022-11-23T02:04:39.4503555Z if __name__ == "__main__":
2022-11-23T02:04:39.4503720Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.4503902Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.4504184Z     arg0_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4504453Z     arg1_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.4504622Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.4504641Z 
2022-11-23T02:04:39.4504754Z ok (2.676s)
2022-11-23T02:04:39.4505218Z   test_no_mega_fusion_during_lowering_cpu (__main__.CpuTests) ... [2022-11-23 01:57:27,395] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.4505681Z [2022-11-23 01:57:27,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.4505992Z [2022-11-23 01:57:27,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.4506338Z [2022-11-23 01:57:27,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.4506723Z [2022-11-23 01:57:27,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.4507157Z [2022-11-23 01:57:27,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4507622Z [2022-11-23 01:57:27,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4508062Z [2022-11-23 01:57:27,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4508569Z [2022-11-23 01:57:27,396] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9c450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2405> 
2022-11-23T02:04:39.4508713Z  2406           0 LOAD_FAST                0 (args)
2022-11-23T02:04:39.4508853Z                2 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4508951Z                4 BINARY_SUBSCR
2022-11-23T02:04:39.4509093Z                6 STORE_FAST               1 (x)
2022-11-23T02:04:39.4509113Z 
2022-11-23T02:04:39.4509255Z 2407           8 LOAD_GLOBAL              0 (range)
2022-11-23T02:04:39.4509387Z               10 LOAD_DEREF               0 (n)
2022-11-23T02:04:39.4509528Z               12 CALL_FUNCTION            1
2022-11-23T02:04:39.4509644Z               14 GET_ITER
2022-11-23T02:04:39.4509785Z          >>   16 FOR_ITER                10 (to 38)
2022-11-23T02:04:39.4509897Z               18 STORE_FAST               2 (i)
2022-11-23T02:04:39.4509916Z 
2022-11-23T02:04:39.4510065Z 2408          20 LOAD_GLOBAL              1 (torch)
2022-11-23T02:04:39.4510199Z               22 LOAD_METHOD              2 (add)
2022-11-23T02:04:39.4510337Z               24 LOAD_FAST                1 (x)
2022-11-23T02:04:39.4510472Z               26 LOAD_FAST                0 (args)
2022-11-23T02:04:39.4510603Z               28 LOAD_FAST                2 (i)
2022-11-23T02:04:39.4510727Z               30 BINARY_SUBSCR
2022-11-23T02:04:39.4510837Z               32 CALL_METHOD              2
2022-11-23T02:04:39.4510978Z               34 STORE_FAST               1 (x)
2022-11-23T02:04:39.4511122Z               36 JUMP_ABSOLUTE            8 (to 16)
2022-11-23T02:04:39.4511141Z 
2022-11-23T02:04:39.4511340Z 2409     >>   38 LOAD_FAST                1 (x)
2022-11-23T02:04:39.4511456Z               40 RETURN_VALUE
2022-11-23T02:04:39.4511558Z  
2022-11-23T02:04:39.4511578Z 
2022-11-23T02:04:39.4512017Z [2022-11-23 01:57:27,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2406
2022-11-23T02:04:39.4512317Z [2022-11-23 01:57:27,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args []
2022-11-23T02:04:39.4512645Z [2022-11-23 01:57:27,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T02:04:39.4513013Z [2022-11-23 01:57:27,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4513346Z [2022-11-23 01:57:27,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T02:04:39.4513765Z [2022-11-23 01:57:27,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2407
2022-11-23T02:04:39.4514072Z [2022-11-23 01:57:27,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range []
2022-11-23T02:04:39.4514461Z [2022-11-23 01:57:27,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF n [BuiltinVariable(range)]
2022-11-23T02:04:39.4514861Z [2022-11-23 01:57:27,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T02:04:39.4515188Z [2022-11-23 01:57:27,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [RangeVariable()]
2022-11-23T02:04:39.4515530Z [2022-11-23 01:57:27,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4515925Z [2022-11-23 01:57:27,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4516333Z [2022-11-23 01:57:27,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2408
2022-11-23T02:04:39.4516695Z [2022-11-23 01:57:27,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4517248Z [2022-11-23 01:57:27,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4517733Z [2022-11-23 01:57:27,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4518264Z [2022-11-23 01:57:27,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4518823Z [2022-11-23 01:57:27,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4519454Z [2022-11-23 01:57:27,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4520028Z [2022-11-23 01:57:27,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4520411Z [2022-11-23 01:57:27,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4520768Z [2022-11-23 01:57:27,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4521112Z [2022-11-23 01:57:27,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4521610Z [2022-11-23 01:57:27,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4521974Z [2022-11-23 01:57:27,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4522488Z [2022-11-23 01:57:27,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4522975Z [2022-11-23 01:57:27,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4523500Z [2022-11-23 01:57:27,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4524057Z [2022-11-23 01:57:27,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4524723Z [2022-11-23 01:57:27,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4525300Z [2022-11-23 01:57:27,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4525684Z [2022-11-23 01:57:27,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4526038Z [2022-11-23 01:57:27,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4526396Z [2022-11-23 01:57:27,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4526790Z [2022-11-23 01:57:27,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4527144Z [2022-11-23 01:57:27,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4527698Z [2022-11-23 01:57:27,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4528167Z [2022-11-23 01:57:27,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4528696Z [2022-11-23 01:57:27,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4529264Z [2022-11-23 01:57:27,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4529883Z [2022-11-23 01:57:27,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4530446Z [2022-11-23 01:57:27,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4530834Z [2022-11-23 01:57:27,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4531284Z [2022-11-23 01:57:27,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4531638Z [2022-11-23 01:57:27,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4532038Z [2022-11-23 01:57:27,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4532400Z [2022-11-23 01:57:27,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4532943Z [2022-11-23 01:57:27,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4533432Z [2022-11-23 01:57:27,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4533962Z [2022-11-23 01:57:27,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4534556Z [2022-11-23 01:57:27,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4535184Z [2022-11-23 01:57:27,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4535751Z [2022-11-23 01:57:27,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4536498Z [2022-11-23 01:57:27,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4536873Z [2022-11-23 01:57:27,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4537214Z [2022-11-23 01:57:27,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4537602Z [2022-11-23 01:57:27,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4537957Z [2022-11-23 01:57:27,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4538499Z [2022-11-23 01:57:27,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4538989Z [2022-11-23 01:57:27,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4539519Z [2022-11-23 01:57:27,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4540074Z [2022-11-23 01:57:27,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4540696Z [2022-11-23 01:57:27,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4541262Z [2022-11-23 01:57:27,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4541796Z [2022-11-23 01:57:27,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4542155Z [2022-11-23 01:57:27,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4542495Z [2022-11-23 01:57:27,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4542891Z [2022-11-23 01:57:27,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4543248Z [2022-11-23 01:57:27,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4543786Z [2022-11-23 01:57:27,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4544362Z [2022-11-23 01:57:27,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4544897Z [2022-11-23 01:57:27,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4545445Z [2022-11-23 01:57:27,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4546071Z [2022-11-23 01:57:27,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4546650Z [2022-11-23 01:57:27,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4547033Z [2022-11-23 01:57:27,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4547362Z [2022-11-23 01:57:27,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4547708Z [2022-11-23 01:57:27,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4548094Z [2022-11-23 01:57:27,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4548443Z [2022-11-23 01:57:27,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4548991Z [2022-11-23 01:57:27,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4549481Z [2022-11-23 01:57:27,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4550019Z [2022-11-23 01:57:27,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4550582Z [2022-11-23 01:57:27,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4551204Z [2022-11-23 01:57:27,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4551850Z [2022-11-23 01:57:27,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4552233Z [2022-11-23 01:57:27,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4552588Z [2022-11-23 01:57:27,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4552907Z [2022-11-23 01:57:27,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4553299Z [2022-11-23 01:57:27,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4553661Z [2022-11-23 01:57:27,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4554262Z [2022-11-23 01:57:27,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4554758Z [2022-11-23 01:57:27,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4555283Z [2022-11-23 01:57:27,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4555838Z [2022-11-23 01:57:27,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4556474Z [2022-11-23 01:57:27,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4557045Z [2022-11-23 01:57:27,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4557430Z [2022-11-23 01:57:27,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4557788Z [2022-11-23 01:57:27,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4558128Z [2022-11-23 01:57:27,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4558528Z [2022-11-23 01:57:27,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4558860Z [2022-11-23 01:57:27,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4559404Z [2022-11-23 01:57:27,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4559895Z [2022-11-23 01:57:27,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4560425Z [2022-11-23 01:57:27,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4560983Z [2022-11-23 01:57:27,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4561683Z [2022-11-23 01:57:27,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4562245Z [2022-11-23 01:57:27,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4562629Z [2022-11-23 01:57:27,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4562984Z [2022-11-23 01:57:27,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4563338Z [2022-11-23 01:57:27,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4563790Z [2022-11-23 01:57:27,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4564154Z [2022-11-23 01:57:27,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4564674Z [2022-11-23 01:57:27,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4565162Z [2022-11-23 01:57:27,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4565689Z [2022-11-23 01:57:27,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4566250Z [2022-11-23 01:57:27,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4566867Z [2022-11-23 01:57:27,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4567432Z [2022-11-23 01:57:27,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4567822Z [2022-11-23 01:57:27,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4568179Z [2022-11-23 01:57:27,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4568523Z [2022-11-23 01:57:27,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4568922Z [2022-11-23 01:57:27,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4569283Z [2022-11-23 01:57:27,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4569832Z [2022-11-23 01:57:27,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4570320Z [2022-11-23 01:57:27,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4570904Z [2022-11-23 01:57:27,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4571461Z [2022-11-23 01:57:27,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4572083Z [2022-11-23 01:57:27,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4572642Z [2022-11-23 01:57:27,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4573030Z [2022-11-23 01:57:27,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4573382Z [2022-11-23 01:57:27,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4573801Z [2022-11-23 01:57:27,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4574212Z [2022-11-23 01:57:27,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4574569Z [2022-11-23 01:57:27,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4575109Z [2022-11-23 01:57:27,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4575591Z [2022-11-23 01:57:27,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4576485Z [2022-11-23 01:57:27,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4577026Z [2022-11-23 01:57:27,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4577836Z [2022-11-23 01:57:27,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4578452Z [2022-11-23 01:57:27,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4578812Z [2022-11-23 01:57:27,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4579170Z [2022-11-23 01:57:27,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4579510Z [2022-11-23 01:57:27,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4579900Z [2022-11-23 01:57:27,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4580358Z [2022-11-23 01:57:27,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4580912Z [2022-11-23 01:57:27,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4581629Z [2022-11-23 01:57:27,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4582206Z [2022-11-23 01:57:27,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4582721Z [2022-11-23 01:57:27,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4583351Z [2022-11-23 01:57:27,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4583929Z [2022-11-23 01:57:27,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4584376Z [2022-11-23 01:57:27,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4584742Z [2022-11-23 01:57:27,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4585083Z [2022-11-23 01:57:27,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4585519Z [2022-11-23 01:57:27,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4585880Z [2022-11-23 01:57:27,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4586442Z [2022-11-23 01:57:27,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4586934Z [2022-11-23 01:57:27,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4587461Z [2022-11-23 01:57:27,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4588008Z [2022-11-23 01:57:27,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4588621Z [2022-11-23 01:57:27,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4589197Z [2022-11-23 01:57:27,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4589583Z [2022-11-23 01:57:27,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4589912Z [2022-11-23 01:57:27,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4590255Z [2022-11-23 01:57:27,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4590647Z [2022-11-23 01:57:27,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4591114Z [2022-11-23 01:57:27,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4591666Z [2022-11-23 01:57:27,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4592153Z [2022-11-23 01:57:27,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4592691Z [2022-11-23 01:57:27,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4593253Z [2022-11-23 01:57:27,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4593879Z [2022-11-23 01:57:27,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4594583Z [2022-11-23 01:57:27,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4594971Z [2022-11-23 01:57:27,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4595324Z [2022-11-23 01:57:27,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4595641Z [2022-11-23 01:57:27,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4596035Z [2022-11-23 01:57:27,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4596392Z [2022-11-23 01:57:27,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4596944Z [2022-11-23 01:57:27,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4597431Z [2022-11-23 01:57:27,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4597952Z [2022-11-23 01:57:27,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4598510Z [2022-11-23 01:57:27,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4599131Z [2022-11-23 01:57:27,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4599699Z [2022-11-23 01:57:27,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4600082Z [2022-11-23 01:57:27,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4600436Z [2022-11-23 01:57:27,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4600776Z [2022-11-23 01:57:27,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4601245Z [2022-11-23 01:57:27,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4601580Z [2022-11-23 01:57:27,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4602125Z [2022-11-23 01:57:27,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4602612Z [2022-11-23 01:57:27,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4603135Z [2022-11-23 01:57:27,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4603765Z [2022-11-23 01:57:27,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4604396Z [2022-11-23 01:57:27,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4604963Z [2022-11-23 01:57:27,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4605349Z [2022-11-23 01:57:27,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4605714Z [2022-11-23 01:57:27,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4606196Z [2022-11-23 01:57:27,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4606594Z [2022-11-23 01:57:27,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4606952Z [2022-11-23 01:57:27,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4607471Z [2022-11-23 01:57:27,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4607958Z [2022-11-23 01:57:27,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4608484Z [2022-11-23 01:57:27,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4609053Z [2022-11-23 01:57:27,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4609670Z [2022-11-23 01:57:27,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4610242Z [2022-11-23 01:57:27,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4610625Z [2022-11-23 01:57:27,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4611080Z [2022-11-23 01:57:27,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4611436Z [2022-11-23 01:57:27,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4611844Z [2022-11-23 01:57:27,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4612194Z [2022-11-23 01:57:27,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4612744Z [2022-11-23 01:57:27,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4613228Z [2022-11-23 01:57:27,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4613784Z [2022-11-23 01:57:27,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4614342Z [2022-11-23 01:57:27,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4614961Z [2022-11-23 01:57:27,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4615526Z [2022-11-23 01:57:27,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4615919Z [2022-11-23 01:57:27,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4616850Z [2022-11-23 01:57:27,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4617475Z [2022-11-23 01:57:27,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4618176Z [2022-11-23 01:57:27,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4618570Z [2022-11-23 01:57:27,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4619120Z [2022-11-23 01:57:27,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4619614Z [2022-11-23 01:57:27,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4620141Z [2022-11-23 01:57:27,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4620693Z [2022-11-23 01:57:27,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4621282Z [2022-11-23 01:57:27,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4622031Z [2022-11-23 01:57:27,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4622421Z [2022-11-23 01:57:27,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4622776Z [2022-11-23 01:57:27,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4623124Z [2022-11-23 01:57:27,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4623520Z [2022-11-23 01:57:27,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4623873Z [2022-11-23 01:57:27,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4624421Z [2022-11-23 01:57:27,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4624988Z [2022-11-23 01:57:27,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4625521Z [2022-11-23 01:57:27,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4626070Z [2022-11-23 01:57:27,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4626685Z [2022-11-23 01:57:27,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4627259Z [2022-11-23 01:57:27,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4627620Z [2022-11-23 01:57:27,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4627981Z [2022-11-23 01:57:27,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4628322Z [2022-11-23 01:57:27,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4628714Z [2022-11-23 01:57:27,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4629069Z [2022-11-23 01:57:27,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4629624Z [2022-11-23 01:57:27,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4630107Z [2022-11-23 01:57:27,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4630632Z [2022-11-23 01:57:27,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4631185Z [2022-11-23 01:57:27,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4631879Z [2022-11-23 01:57:27,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4632453Z [2022-11-23 01:57:27,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4632894Z [2022-11-23 01:57:27,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4633229Z [2022-11-23 01:57:27,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4633579Z [2022-11-23 01:57:27,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4633967Z [2022-11-23 01:57:27,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4634327Z [2022-11-23 01:57:27,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4634937Z [2022-11-23 01:57:27,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4635428Z [2022-11-23 01:57:27,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4635945Z [2022-11-23 01:57:27,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4636497Z [2022-11-23 01:57:27,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4637120Z [2022-11-23 01:57:27,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4637688Z [2022-11-23 01:57:27,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4638072Z [2022-11-23 01:57:27,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4638426Z [2022-11-23 01:57:27,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4638770Z [2022-11-23 01:57:27,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4639142Z [2022-11-23 01:57:27,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4639497Z [2022-11-23 01:57:27,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4640043Z [2022-11-23 01:57:27,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4640531Z [2022-11-23 01:57:27,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4641060Z [2022-11-23 01:57:27,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4641690Z [2022-11-23 01:57:27,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4642315Z [2022-11-23 01:57:27,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4642876Z [2022-11-23 01:57:27,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4643259Z [2022-11-23 01:57:27,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4643614Z [2022-11-23 01:57:27,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4643963Z [2022-11-23 01:57:27,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4644409Z [2022-11-23 01:57:27,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4644745Z [2022-11-23 01:57:27,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4645290Z [2022-11-23 01:57:27,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4645775Z [2022-11-23 01:57:27,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4646304Z [2022-11-23 01:57:27,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4646865Z [2022-11-23 01:57:27,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4647477Z [2022-11-23 01:57:27,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4648042Z [2022-11-23 01:57:27,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4648419Z [2022-11-23 01:57:27,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4648778Z [2022-11-23 01:57:27,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4649120Z [2022-11-23 01:57:27,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4649511Z [2022-11-23 01:57:27,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4649862Z [2022-11-23 01:57:27,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4650384Z [2022-11-23 01:57:27,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4650863Z [2022-11-23 01:57:27,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4651510Z [2022-11-23 01:57:27,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4652067Z [2022-11-23 01:57:27,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4652682Z [2022-11-23 01:57:27,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4653247Z [2022-11-23 01:57:27,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4653629Z [2022-11-23 01:57:27,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4654051Z [2022-11-23 01:57:27,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4654398Z [2022-11-23 01:57:27,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4654790Z [2022-11-23 01:57:27,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4655147Z [2022-11-23 01:57:27,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4655695Z [2022-11-23 01:57:27,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4656696Z [2022-11-23 01:57:27,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4657640Z [2022-11-23 01:57:27,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4658350Z [2022-11-23 01:57:27,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4658972Z [2022-11-23 01:57:27,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4659537Z [2022-11-23 01:57:27,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4659924Z [2022-11-23 01:57:27,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4660271Z [2022-11-23 01:57:27,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4660607Z [2022-11-23 01:57:27,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4660989Z [2022-11-23 01:57:27,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4661336Z [2022-11-23 01:57:27,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4661873Z [2022-11-23 01:57:27,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4662577Z [2022-11-23 01:57:27,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4663096Z [2022-11-23 01:57:27,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4663647Z [2022-11-23 01:57:27,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4664237Z [2022-11-23 01:57:27,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4664875Z [2022-11-23 01:57:27,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4665260Z [2022-11-23 01:57:27,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4665607Z [2022-11-23 01:57:27,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4665941Z [2022-11-23 01:57:27,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4666329Z [2022-11-23 01:57:27,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4666679Z [2022-11-23 01:57:27,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4667219Z [2022-11-23 01:57:27,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4667701Z [2022-11-23 01:57:27,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4668223Z [2022-11-23 01:57:27,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4668770Z [2022-11-23 01:57:27,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4669372Z [2022-11-23 01:57:27,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4669939Z [2022-11-23 01:57:27,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4670292Z [2022-11-23 01:57:27,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4670646Z [2022-11-23 01:57:27,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4670979Z [2022-11-23 01:57:27,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4671364Z [2022-11-23 01:57:27,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4671785Z [2022-11-23 01:57:27,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4672325Z [2022-11-23 01:57:27,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4672806Z [2022-11-23 01:57:27,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4673327Z [2022-11-23 01:57:27,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4673872Z [2022-11-23 01:57:27,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4674542Z [2022-11-23 01:57:27,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4675103Z [2022-11-23 01:57:27,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4675482Z [2022-11-23 01:57:27,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4675815Z [2022-11-23 01:57:27,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4676153Z [2022-11-23 01:57:27,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4676542Z [2022-11-23 01:57:27,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4676894Z [2022-11-23 01:57:27,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4677431Z [2022-11-23 01:57:27,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4677909Z [2022-11-23 01:57:27,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4678424Z [2022-11-23 01:57:27,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4678986Z [2022-11-23 01:57:27,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4679611Z [2022-11-23 01:57:27,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4680183Z [2022-11-23 01:57:27,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4680573Z [2022-11-23 01:57:27,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4680928Z [2022-11-23 01:57:27,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4681348Z [2022-11-23 01:57:27,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4681727Z [2022-11-23 01:57:27,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4682082Z [2022-11-23 01:57:27,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4682630Z [2022-11-23 01:57:27,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4683117Z [2022-11-23 01:57:27,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4683651Z [2022-11-23 01:57:27,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4684273Z [2022-11-23 01:57:27,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4684905Z [2022-11-23 01:57:27,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4685546Z [2022-11-23 01:57:27,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4685931Z [2022-11-23 01:57:27,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4686297Z [2022-11-23 01:57:27,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4686645Z [2022-11-23 01:57:27,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4687048Z [2022-11-23 01:57:27,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4687385Z [2022-11-23 01:57:27,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4687938Z [2022-11-23 01:57:27,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4688423Z [2022-11-23 01:57:27,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4688970Z [2022-11-23 01:57:27,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4689539Z [2022-11-23 01:57:27,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4690162Z [2022-11-23 01:57:27,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4690728Z [2022-11-23 01:57:27,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4691199Z [2022-11-23 01:57:27,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4691553Z [2022-11-23 01:57:27,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4691895Z [2022-11-23 01:57:27,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4692283Z [2022-11-23 01:57:27,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4692632Z [2022-11-23 01:57:27,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4693145Z [2022-11-23 01:57:27,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4693626Z [2022-11-23 01:57:27,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4694211Z [2022-11-23 01:57:27,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4694773Z [2022-11-23 01:57:27,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4695387Z [2022-11-23 01:57:27,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4695954Z [2022-11-23 01:57:27,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4697038Z [2022-11-23 01:57:27,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4697690Z [2022-11-23 01:57:27,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4698192Z [2022-11-23 01:57:27,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4698597Z [2022-11-23 01:57:27,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4698956Z [2022-11-23 01:57:27,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4699506Z [2022-11-23 01:57:27,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4699999Z [2022-11-23 01:57:27,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4700495Z [2022-11-23 01:57:27,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4701049Z [2022-11-23 01:57:27,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4701659Z [2022-11-23 01:57:27,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4702416Z [2022-11-23 01:57:27,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4702801Z [2022-11-23 01:57:27,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4703158Z [2022-11-23 01:57:27,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4703500Z [2022-11-23 01:57:27,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4703891Z [2022-11-23 01:57:27,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4704243Z [2022-11-23 01:57:27,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4704788Z [2022-11-23 01:57:27,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4705352Z [2022-11-23 01:57:27,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4705887Z [2022-11-23 01:57:27,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4706442Z [2022-11-23 01:57:27,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4707033Z [2022-11-23 01:57:27,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4707610Z [2022-11-23 01:57:27,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4707994Z [2022-11-23 01:57:27,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4708344Z [2022-11-23 01:57:27,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4708684Z [2022-11-23 01:57:27,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4709073Z [2022-11-23 01:57:27,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4709430Z [2022-11-23 01:57:27,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4709978Z [2022-11-23 01:57:27,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4710455Z [2022-11-23 01:57:27,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4710980Z [2022-11-23 01:57:27,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4711527Z [2022-11-23 01:57:27,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4712235Z [2022-11-23 01:57:27,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4712797Z [2022-11-23 01:57:27,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4713153Z [2022-11-23 01:57:27,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4713505Z [2022-11-23 01:57:27,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4713848Z [2022-11-23 01:57:27,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4714242Z [2022-11-23 01:57:27,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4714686Z [2022-11-23 01:57:27,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4715280Z [2022-11-23 01:57:27,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4715774Z [2022-11-23 01:57:27,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4716295Z [2022-11-23 01:57:27,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4716843Z [2022-11-23 01:57:27,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4717476Z [2022-11-23 01:57:27,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4718041Z [2022-11-23 01:57:27,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4718424Z [2022-11-23 01:57:27,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4718783Z [2022-11-23 01:57:27,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4719104Z [2022-11-23 01:57:27,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4719500Z [2022-11-23 01:57:27,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4719861Z [2022-11-23 01:57:27,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4720405Z [2022-11-23 01:57:27,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4720884Z [2022-11-23 01:57:27,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4721406Z [2022-11-23 01:57:27,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4722033Z [2022-11-23 01:57:27,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4722664Z [2022-11-23 01:57:27,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4723235Z [2022-11-23 01:57:27,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4723619Z [2022-11-23 01:57:27,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4723983Z [2022-11-23 01:57:27,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4724324Z [2022-11-23 01:57:27,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4724748Z [2022-11-23 01:57:27,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4725116Z [2022-11-23 01:57:27,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4725663Z [2022-11-23 01:57:27,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4726153Z [2022-11-23 01:57:27,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4726679Z [2022-11-23 01:57:27,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4727235Z [2022-11-23 01:57:27,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4727856Z [2022-11-23 01:57:27,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4728430Z [2022-11-23 01:57:27,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4728815Z [2022-11-23 01:57:27,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4729173Z [2022-11-23 01:57:27,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4729577Z [2022-11-23 01:57:27,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4729968Z [2022-11-23 01:57:27,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4730302Z [2022-11-23 01:57:27,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4730847Z [2022-11-23 01:57:27,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4731332Z [2022-11-23 01:57:27,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4731974Z [2022-11-23 01:57:27,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4732528Z [2022-11-23 01:57:27,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4733150Z [2022-11-23 01:57:27,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4733718Z [2022-11-23 01:57:27,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4734107Z [2022-11-23 01:57:27,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4734532Z [2022-11-23 01:57:27,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4734885Z [2022-11-23 01:57:27,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4735278Z [2022-11-23 01:57:27,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4735635Z [2022-11-23 01:57:27,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4736783Z [2022-11-23 01:57:27,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4737691Z [2022-11-23 01:57:27,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4738492Z [2022-11-23 01:57:27,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4739058Z [2022-11-23 01:57:27,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4739677Z [2022-11-23 01:57:27,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4740238Z [2022-11-23 01:57:27,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4740620Z [2022-11-23 01:57:27,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4740976Z [2022-11-23 01:57:27,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4741308Z [2022-11-23 01:57:27,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4741700Z [2022-11-23 01:57:27,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4742052Z [2022-11-23 01:57:27,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4742587Z [2022-11-23 01:57:27,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4743297Z [2022-11-23 01:57:27,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4743800Z [2022-11-23 01:57:27,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4744349Z [2022-11-23 01:57:27,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4744963Z [2022-11-23 01:57:27,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4745607Z [2022-11-23 01:57:27,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4745992Z [2022-11-23 01:57:27,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4746344Z [2022-11-23 01:57:27,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4746681Z [2022-11-23 01:57:27,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4747063Z [2022-11-23 01:57:27,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4747407Z [2022-11-23 01:57:27,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4747952Z [2022-11-23 01:57:27,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4748425Z [2022-11-23 01:57:27,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4748937Z [2022-11-23 01:57:27,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4749480Z [2022-11-23 01:57:27,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4750077Z [2022-11-23 01:57:27,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4750640Z [2022-11-23 01:57:27,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4751013Z [2022-11-23 01:57:27,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4751365Z [2022-11-23 01:57:27,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4751707Z [2022-11-23 01:57:27,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4752096Z [2022-11-23 01:57:27,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4752590Z [2022-11-23 01:57:27,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4753128Z [2022-11-23 01:57:27,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4753607Z [2022-11-23 01:57:27,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4754126Z [2022-11-23 01:57:27,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4754675Z [2022-11-23 01:57:27,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4755362Z [2022-11-23 01:57:27,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4755932Z [2022-11-23 01:57:27,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4756291Z [2022-11-23 01:57:27,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4756638Z [2022-11-23 01:57:27,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4756979Z [2022-11-23 01:57:27,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4757378Z [2022-11-23 01:57:27,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4757736Z [2022-11-23 01:57:27,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4758277Z [2022-11-23 01:57:27,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4758764Z [2022-11-23 01:57:27,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4759287Z [2022-11-23 01:57:27,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4759843Z [2022-11-23 01:57:27,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4760470Z [2022-11-23 01:57:27,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4761026Z [2022-11-23 01:57:27,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4761406Z [2022-11-23 01:57:27,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4761760Z [2022-11-23 01:57:27,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4762174Z [2022-11-23 01:57:27,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4762564Z [2022-11-23 01:57:27,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4762918Z [2022-11-23 01:57:27,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4763463Z [2022-11-23 01:57:27,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4763941Z [2022-11-23 01:57:27,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4764468Z [2022-11-23 01:57:27,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4765092Z [2022-11-23 01:57:27,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4765718Z [2022-11-23 01:57:27,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4766283Z [2022-11-23 01:57:27,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4766663Z [2022-11-23 01:57:27,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4767020Z [2022-11-23 01:57:27,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4767371Z [2022-11-23 01:57:27,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4767746Z [2022-11-23 01:57:27,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4768099Z [2022-11-23 01:57:27,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4768644Z [2022-11-23 01:57:27,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4769130Z [2022-11-23 01:57:27,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4769658Z [2022-11-23 01:57:27,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4770207Z [2022-11-23 01:57:27,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4770810Z [2022-11-23 01:57:27,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4771366Z [2022-11-23 01:57:27,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4771813Z [2022-11-23 01:57:27,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4772162Z [2022-11-23 01:57:27,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4772496Z [2022-11-23 01:57:27,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4772883Z [2022-11-23 01:57:27,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4773214Z [2022-11-23 01:57:27,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4773753Z [2022-11-23 01:57:27,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4774250Z [2022-11-23 01:57:27,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4774849Z [2022-11-23 01:57:27,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4775403Z [2022-11-23 01:57:27,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4776727Z [2022-11-23 01:57:27,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4777808Z [2022-11-23 01:57:27,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4778309Z [2022-11-23 01:57:27,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4778662Z [2022-11-23 01:57:27,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4778997Z [2022-11-23 01:57:27,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4779385Z [2022-11-23 01:57:27,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4779736Z [2022-11-23 01:57:27,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T02:04:39.4780254Z [2022-11-23 01:57:27,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.4780741Z [2022-11-23 01:57:27,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.4781258Z [2022-11-23 01:57:27,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.4781807Z [2022-11-23 01:57:27,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.4782423Z [2022-11-23 01:57:27,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.4783176Z [2022-11-23 01:57:27,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.4783554Z [2022-11-23 01:57:27,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.4783905Z [2022-11-23 01:57:27,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T02:04:39.4784251Z [2022-11-23 01:57:27,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T02:04:39.4784670Z [2022-11-23 01:57:27,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2409
2022-11-23T02:04:39.4784956Z [2022-11-23 01:57:27,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.4785294Z [2022-11-23 01:57:27,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.4785934Z [2022-11-23 01:57:27,595] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9c450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2405>
2022-11-23T02:04:39.4786260Z [2022-11-23 01:57:27,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.4786579Z [2022-11-23 01:57:27,595] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.4786927Z [2022-11-23 01:57:27,604] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.4787269Z [2022-11-23 01:57:27,664] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.4787530Z [2022-11-23 01:57:27,665] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.4787725Z  __compiled_fn_259 <eval_with_key>.2031 opcode, name, target, args, kwargs
2022-11-23T02:04:39.4787859Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.4787984Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.4788092Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.4788221Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T02:04:39.4788345Z placeholder, ex_4_, ex_4_, (), {}
2022-11-23T02:04:39.4788469Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T02:04:39.4788594Z placeholder, ex_6_, ex_6_, (), {}
2022-11-23T02:04:39.4788716Z placeholder, ex_7_, ex_7_, (), {}
2022-11-23T02:04:39.4788840Z placeholder, ex_8_, ex_8_, (), {}
2022-11-23T02:04:39.4788943Z placeholder, ex_9_, ex_9_, (), {}
2022-11-23T02:04:39.4789071Z placeholder, ex_10_, ex_10_, (), {}
2022-11-23T02:04:39.4789200Z placeholder, ex_11_, ex_11_, (), {}
2022-11-23T02:04:39.4789326Z placeholder, ex_12_, ex_12_, (), {}
2022-11-23T02:04:39.4789450Z placeholder, ex_13_, ex_13_, (), {}
2022-11-23T02:04:39.4789578Z placeholder, ex_14_, ex_14_, (), {}
2022-11-23T02:04:39.4789700Z placeholder, ex_15_, ex_15_, (), {}
2022-11-23T02:04:39.4789805Z placeholder, ex_16_, ex_16_, (), {}
2022-11-23T02:04:39.4789928Z placeholder, ex_17_, ex_17_, (), {}
2022-11-23T02:04:39.4790054Z placeholder, ex_18_, ex_18_, (), {}
2022-11-23T02:04:39.4790177Z placeholder, ex_19_, ex_19_, (), {}
2022-11-23T02:04:39.4790300Z placeholder, ex_20_, ex_20_, (), {}
2022-11-23T02:04:39.4790423Z placeholder, ex_21_, ex_21_, (), {}
2022-11-23T02:04:39.4790547Z placeholder, ex_22_, ex_22_, (), {}
2022-11-23T02:04:39.4790651Z placeholder, ex_23_, ex_23_, (), {}
2022-11-23T02:04:39.4790773Z placeholder, ex_24_, ex_24_, (), {}
2022-11-23T02:04:39.4790897Z placeholder, ex_25_, ex_25_, (), {}
2022-11-23T02:04:39.4791021Z placeholder, ex_26_, ex_26_, (), {}
2022-11-23T02:04:39.4791140Z placeholder, ex_27_, ex_27_, (), {}
2022-11-23T02:04:39.4791260Z placeholder, ex_28_, ex_28_, (), {}
2022-11-23T02:04:39.4791383Z placeholder, ex_29_, ex_29_, (), {}
2022-11-23T02:04:39.4791590Z placeholder, ex_30_, ex_30_, (), {}
2022-11-23T02:04:39.4791713Z placeholder, ex_31_, ex_31_, (), {}
2022-11-23T02:04:39.4791839Z placeholder, ex_32_, ex_32_, (), {}
2022-11-23T02:04:39.4791962Z placeholder, ex_33_, ex_33_, (), {}
2022-11-23T02:04:39.4792092Z placeholder, ex_34_, ex_34_, (), {}
2022-11-23T02:04:39.4792215Z placeholder, ex_35_, ex_35_, (), {}
2022-11-23T02:04:39.4792320Z placeholder, ex_36_, ex_36_, (), {}
2022-11-23T02:04:39.4792441Z placeholder, ex_37_, ex_37_, (), {}
2022-11-23T02:04:39.4792561Z placeholder, ex_38_, ex_38_, (), {}
2022-11-23T02:04:39.4792683Z placeholder, ex_39_, ex_39_, (), {}
2022-11-23T02:04:39.4792806Z placeholder, ex_40_, ex_40_, (), {}
2022-11-23T02:04:39.4792929Z placeholder, ex_41_, ex_41_, (), {}
2022-11-23T02:04:39.4793051Z placeholder, ex_42_, ex_42_, (), {}
2022-11-23T02:04:39.4793155Z placeholder, ex_43_, ex_43_, (), {}
2022-11-23T02:04:39.4793277Z placeholder, ex_44_, ex_44_, (), {}
2022-11-23T02:04:39.4793406Z placeholder, ex_45_, ex_45_, (), {}
2022-11-23T02:04:39.4793527Z placeholder, ex_46_, ex_46_, (), {}
2022-11-23T02:04:39.4793649Z placeholder, ex_47_, ex_47_, (), {}
2022-11-23T02:04:39.4793775Z placeholder, ex_48_, ex_48_, (), {}
2022-11-23T02:04:39.4793898Z placeholder, ex_49_, ex_49_, (), {}
2022-11-23T02:04:39.4794256Z call_function, add, <built-in method add of type object at 0x7fa5855aec60>, (ex_0_, ex_0_), {}
2022-11-23T02:04:39.4794576Z call_function, add_1, <built-in method add of type object at 0x7fa5855aec60>, (add, ex_1_), {}
2022-11-23T02:04:39.4794888Z call_function, add_2, <built-in method add of type object at 0x7fa5855aec60>, (add_1, ex_2_), {}
2022-11-23T02:04:39.4795204Z call_function, add_3, <built-in method add of type object at 0x7fa5855aec60>, (add_2, ex_3_), {}
2022-11-23T02:04:39.4795514Z call_function, add_4, <built-in method add of type object at 0x7fa5855aec60>, (add_3, ex_4_), {}
2022-11-23T02:04:39.4795824Z call_function, add_5, <built-in method add of type object at 0x7fa5855aec60>, (add_4, ex_5_), {}
2022-11-23T02:04:39.4796136Z call_function, add_6, <built-in method add of type object at 0x7fa5855aec60>, (add_5, ex_6_), {}
2022-11-23T02:04:39.4796443Z call_function, add_7, <built-in method add of type object at 0x7fa5855aec60>, (add_6, ex_7_), {}
2022-11-23T02:04:39.4796756Z call_function, add_8, <built-in method add of type object at 0x7fa5855aec60>, (add_7, ex_8_), {}
2022-11-23T02:04:39.4797045Z call_function, add_9, <built-in method add of type object at 0x7fa5855aec60>, (add_8, ex_9_), {}
2022-11-23T02:04:39.4797356Z call_function, add_10, <built-in method add of type object at 0x7fa5855aec60>, (add_9, ex_10_), {}
2022-11-23T02:04:39.4797670Z call_function, add_11, <built-in method add of type object at 0x7fa5855aec60>, (add_10, ex_11_), {}
2022-11-23T02:04:39.4797973Z call_function, add_12, <built-in method add of type object at 0x7fa5855aec60>, (add_11, ex_12_), {}
2022-11-23T02:04:39.4798276Z call_function, add_13, <built-in method add of type object at 0x7fa5855aec60>, (add_12, ex_13_), {}
2022-11-23T02:04:39.4798581Z call_function, add_14, <built-in method add of type object at 0x7fa5855aec60>, (add_13, ex_14_), {}
2022-11-23T02:04:39.4798883Z call_function, add_15, <built-in method add of type object at 0x7fa5855aec60>, (add_14, ex_15_), {}
2022-11-23T02:04:39.4799188Z call_function, add_16, <built-in method add of type object at 0x7fa5855aec60>, (add_15, ex_16_), {}
2022-11-23T02:04:39.4799491Z call_function, add_17, <built-in method add of type object at 0x7fa5855aec60>, (add_16, ex_17_), {}
2022-11-23T02:04:39.4799771Z call_function, add_18, <built-in method add of type object at 0x7fa5855aec60>, (add_17, ex_18_), {}
2022-11-23T02:04:39.4800070Z call_function, add_19, <built-in method add of type object at 0x7fa5855aec60>, (add_18, ex_19_), {}
2022-11-23T02:04:39.4800374Z call_function, add_20, <built-in method add of type object at 0x7fa5855aec60>, (add_19, ex_20_), {}
2022-11-23T02:04:39.4800673Z call_function, add_21, <built-in method add of type object at 0x7fa5855aec60>, (add_20, ex_21_), {}
2022-11-23T02:04:39.4801059Z call_function, add_22, <built-in method add of type object at 0x7fa5855aec60>, (add_21, ex_22_), {}
2022-11-23T02:04:39.4801358Z call_function, add_23, <built-in method add of type object at 0x7fa5855aec60>, (add_22, ex_23_), {}
2022-11-23T02:04:39.4801664Z call_function, add_24, <built-in method add of type object at 0x7fa5855aec60>, (add_23, ex_24_), {}
2022-11-23T02:04:39.4801977Z call_function, add_25, <built-in method add of type object at 0x7fa5855aec60>, (add_24, ex_25_), {}
2022-11-23T02:04:39.4802286Z call_function, add_26, <built-in method add of type object at 0x7fa5855aec60>, (add_25, ex_26_), {}
2022-11-23T02:04:39.4802571Z call_function, add_27, <built-in method add of type object at 0x7fa5855aec60>, (add_26, ex_27_), {}
2022-11-23T02:04:39.4802874Z call_function, add_28, <built-in method add of type object at 0x7fa5855aec60>, (add_27, ex_28_), {}
2022-11-23T02:04:39.4803172Z call_function, add_29, <built-in method add of type object at 0x7fa5855aec60>, (add_28, ex_29_), {}
2022-11-23T02:04:39.4803478Z call_function, add_30, <built-in method add of type object at 0x7fa5855aec60>, (add_29, ex_30_), {}
2022-11-23T02:04:39.4803777Z call_function, add_31, <built-in method add of type object at 0x7fa5855aec60>, (add_30, ex_31_), {}
2022-11-23T02:04:39.4804127Z call_function, add_32, <built-in method add of type object at 0x7fa5855aec60>, (add_31, ex_32_), {}
2022-11-23T02:04:39.4804433Z call_function, add_33, <built-in method add of type object at 0x7fa5855aec60>, (add_32, ex_33_), {}
2022-11-23T02:04:39.4804734Z call_function, add_34, <built-in method add of type object at 0x7fa5855aec60>, (add_33, ex_34_), {}
2022-11-23T02:04:39.4805016Z call_function, add_35, <built-in method add of type object at 0x7fa5855aec60>, (add_34, ex_35_), {}
2022-11-23T02:04:39.4805315Z call_function, add_36, <built-in method add of type object at 0x7fa5855aec60>, (add_35, ex_36_), {}
2022-11-23T02:04:39.4805613Z call_function, add_37, <built-in method add of type object at 0x7fa5855aec60>, (add_36, ex_37_), {}
2022-11-23T02:04:39.4805918Z call_function, add_38, <built-in method add of type object at 0x7fa5855aec60>, (add_37, ex_38_), {}
2022-11-23T02:04:39.4806215Z call_function, add_39, <built-in method add of type object at 0x7fa5855aec60>, (add_38, ex_39_), {}
2022-11-23T02:04:39.4806516Z call_function, add_40, <built-in method add of type object at 0x7fa5855aec60>, (add_39, ex_40_), {}
2022-11-23T02:04:39.4806817Z call_function, add_41, <built-in method add of type object at 0x7fa5855aec60>, (add_40, ex_41_), {}
2022-11-23T02:04:39.4807118Z call_function, add_42, <built-in method add of type object at 0x7fa5855aec60>, (add_41, ex_42_), {}
2022-11-23T02:04:39.4807413Z call_function, add_43, <built-in method add of type object at 0x7fa5855aec60>, (add_42, ex_43_), {}
2022-11-23T02:04:39.4807691Z call_function, add_44, <built-in method add of type object at 0x7fa5855aec60>, (add_43, ex_44_), {}
2022-11-23T02:04:39.4808003Z call_function, add_45, <built-in method add of type object at 0x7fa5855aec60>, (add_44, ex_45_), {}
2022-11-23T02:04:39.4808306Z call_function, add_46, <built-in method add of type object at 0x7fa5855aec60>, (add_45, ex_46_), {}
2022-11-23T02:04:39.4808612Z call_function, add_47, <built-in method add of type object at 0x7fa5855aec60>, (add_46, ex_47_), {}
2022-11-23T02:04:39.4808911Z call_function, add_48, <built-in method add of type object at 0x7fa5855aec60>, (add_47, ex_48_), {}
2022-11-23T02:04:39.4809212Z call_function, add_49, <built-in method add of type object at 0x7fa5855aec60>, (add_48, ex_49_), {}
2022-11-23T02:04:39.4809354Z output, output, output, ((add_49,),), {}
2022-11-23T02:04:39.4809393Z 
2022-11-23T02:04:39.4809834Z [2022-11-23 01:57:27,667] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4809972Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.4810087Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4810282Z               4 BUILD_MAP                0
2022-11-23T02:04:39.4810416Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.4810541Z               8 DICT_MERGE               1
2022-11-23T02:04:39.4810671Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.4810789Z              12 RETURN_VALUE
2022-11-23T02:04:39.4810809Z 
2022-11-23T02:04:39.4810905Z  
2022-11-23T02:04:39.4811351Z [2022-11-23 01:57:27,668] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.4811488Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_259)
2022-11-23T02:04:39.4811619Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4811749Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4811863Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.4811990Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4812120Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.4812237Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.4812346Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4812472Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.4812584Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.4812763Z              20 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4812897Z              22 LOAD_CONST               4 (3)
2022-11-23T02:04:39.4813011Z              24 BINARY_SUBSCR
2022-11-23T02:04:39.4813137Z              26 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4813243Z              28 LOAD_CONST               5 (4)
2022-11-23T02:04:39.4813358Z              30 BINARY_SUBSCR
2022-11-23T02:04:39.4813484Z              32 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4813613Z              34 LOAD_CONST               6 (5)
2022-11-23T02:04:39.4813720Z              36 BINARY_SUBSCR
2022-11-23T02:04:39.4813846Z              38 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4813978Z              40 LOAD_CONST               7 (6)
2022-11-23T02:04:39.4814071Z              42 BINARY_SUBSCR
2022-11-23T02:04:39.4814196Z              44 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4814323Z              46 LOAD_CONST               8 (7)
2022-11-23T02:04:39.4814437Z              48 BINARY_SUBSCR
2022-11-23T02:04:39.4814562Z              50 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4814689Z              52 LOAD_CONST               9 (8)
2022-11-23T02:04:39.4814805Z              54 BINARY_SUBSCR
2022-11-23T02:04:39.4814912Z              56 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4815039Z              58 LOAD_CONST              10 (9)
2022-11-23T02:04:39.4815149Z              60 BINARY_SUBSCR
2022-11-23T02:04:39.4815276Z              62 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4815409Z              64 LOAD_CONST              11 (10)
2022-11-23T02:04:39.4815522Z              66 BINARY_SUBSCR
2022-11-23T02:04:39.4815649Z              68 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4815763Z              70 LOAD_CONST              12 (11)
2022-11-23T02:04:39.4815879Z              72 BINARY_SUBSCR
2022-11-23T02:04:39.4816006Z              74 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4816751Z              76 LOAD_CONST              13 (12)
2022-11-23T02:04:39.4816945Z              78 BINARY_SUBSCR
2022-11-23T02:04:39.4817151Z              80 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4817355Z              82 LOAD_CONST              14 (13)
2022-11-23T02:04:39.4817504Z              84 BINARY_SUBSCR
2022-11-23T02:04:39.4817707Z              86 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4817916Z              88 LOAD_CONST              15 (14)
2022-11-23T02:04:39.4818094Z              90 BINARY_SUBSCR
2022-11-23T02:04:39.4818297Z              92 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4818452Z              94 LOAD_CONST              16 (15)
2022-11-23T02:04:39.4818566Z              96 BINARY_SUBSCR
2022-11-23T02:04:39.4818841Z              98 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4818965Z             100 LOAD_CONST              17 (16)
2022-11-23T02:04:39.4819079Z             102 BINARY_SUBSCR
2022-11-23T02:04:39.4819204Z             104 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4819333Z             106 LOAD_CONST              18 (17)
2022-11-23T02:04:39.4819450Z             108 BINARY_SUBSCR
2022-11-23T02:04:39.4819576Z             110 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4819682Z             112 LOAD_CONST              19 (18)
2022-11-23T02:04:39.4819798Z             114 BINARY_SUBSCR
2022-11-23T02:04:39.4819924Z             116 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4820050Z             118 LOAD_CONST              20 (19)
2022-11-23T02:04:39.4820162Z             120 BINARY_SUBSCR
2022-11-23T02:04:39.4820287Z             122 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4820412Z             124 LOAD_CONST              21 (20)
2022-11-23T02:04:39.4820504Z             126 BINARY_SUBSCR
2022-11-23T02:04:39.4820633Z             128 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4820755Z             130 LOAD_CONST              22 (21)
2022-11-23T02:04:39.4820865Z             132 BINARY_SUBSCR
2022-11-23T02:04:39.4821067Z             134 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4821203Z             136 LOAD_CONST              23 (22)
2022-11-23T02:04:39.4821313Z             138 BINARY_SUBSCR
2022-11-23T02:04:39.4821418Z             140 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4821548Z             142 LOAD_CONST              24 (23)
2022-11-23T02:04:39.4821659Z             144 BINARY_SUBSCR
2022-11-23T02:04:39.4821786Z             146 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4821912Z             148 LOAD_CONST              25 (24)
2022-11-23T02:04:39.4822022Z             150 BINARY_SUBSCR
2022-11-23T02:04:39.4822148Z             152 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4822254Z             154 LOAD_CONST              26 (25)
2022-11-23T02:04:39.4822373Z             156 BINARY_SUBSCR
2022-11-23T02:04:39.4822500Z             158 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4822630Z             160 LOAD_CONST              27 (26)
2022-11-23T02:04:39.4822740Z             162 BINARY_SUBSCR
2022-11-23T02:04:39.4822871Z             164 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4822997Z             166 LOAD_CONST              28 (27)
2022-11-23T02:04:39.4823108Z             168 BINARY_SUBSCR
2022-11-23T02:04:39.4823214Z             170 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4823338Z             172 LOAD_CONST              29 (28)
2022-11-23T02:04:39.4823448Z             174 BINARY_SUBSCR
2022-11-23T02:04:39.4823572Z             176 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4823698Z             178 LOAD_CONST              30 (29)
2022-11-23T02:04:39.4823807Z             180 BINARY_SUBSCR
2022-11-23T02:04:39.4823932Z             182 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4824044Z             184 LOAD_CONST              31 (30)
2022-11-23T02:04:39.4824152Z             186 BINARY_SUBSCR
2022-11-23T02:04:39.4824276Z             188 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4824402Z             190 LOAD_CONST              32 (31)
2022-11-23T02:04:39.4824513Z             192 BINARY_SUBSCR
2022-11-23T02:04:39.4824638Z             194 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4824764Z             196 LOAD_CONST              33 (32)
2022-11-23T02:04:39.4824857Z             198 BINARY_SUBSCR
2022-11-23T02:04:39.4824981Z             200 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4825106Z             202 LOAD_CONST              34 (33)
2022-11-23T02:04:39.4825216Z             204 BINARY_SUBSCR
2022-11-23T02:04:39.4825341Z             206 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4825466Z             208 LOAD_CONST              35 (34)
2022-11-23T02:04:39.4825579Z             210 BINARY_SUBSCR
2022-11-23T02:04:39.4825687Z             212 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4825870Z             214 LOAD_CONST              36 (35)
2022-11-23T02:04:39.4825982Z             216 BINARY_SUBSCR
2022-11-23T02:04:39.4826105Z             218 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4826231Z             220 LOAD_CONST              37 (36)
2022-11-23T02:04:39.4826345Z             222 BINARY_SUBSCR
2022-11-23T02:04:39.4826471Z             224 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4826578Z             226 LOAD_CONST              38 (37)
2022-11-23T02:04:39.4826689Z             228 BINARY_SUBSCR
2022-11-23T02:04:39.4826810Z             230 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4826937Z             232 LOAD_CONST              39 (38)
2022-11-23T02:04:39.4827048Z             234 BINARY_SUBSCR
2022-11-23T02:04:39.4827172Z             236 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4827297Z             238 LOAD_CONST              40 (39)
2022-11-23T02:04:39.4827388Z             240 BINARY_SUBSCR
2022-11-23T02:04:39.4827519Z             242 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4827641Z             244 LOAD_CONST              41 (40)
2022-11-23T02:04:39.4827753Z             246 BINARY_SUBSCR
2022-11-23T02:04:39.4827874Z             248 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4828059Z             250 LOAD_CONST              42 (41)
2022-11-23T02:04:39.4828178Z             252 BINARY_SUBSCR
2022-11-23T02:04:39.4828285Z             254 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4828411Z             256 LOAD_CONST              43 (42)
2022-11-23T02:04:39.4828522Z             258 BINARY_SUBSCR
2022-11-23T02:04:39.4828646Z             260 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4828772Z             262 LOAD_CONST              44 (43)
2022-11-23T02:04:39.4828880Z             264 BINARY_SUBSCR
2022-11-23T02:04:39.4829006Z             266 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4829114Z             268 LOAD_CONST              45 (44)
2022-11-23T02:04:39.4829226Z             270 BINARY_SUBSCR
2022-11-23T02:04:39.4829356Z             272 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4829481Z             274 LOAD_CONST              46 (45)
2022-11-23T02:04:39.4829592Z             276 BINARY_SUBSCR
2022-11-23T02:04:39.4829722Z             278 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4829850Z             280 LOAD_CONST              47 (46)
2022-11-23T02:04:39.4829942Z             282 BINARY_SUBSCR
2022-11-23T02:04:39.4830063Z             284 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4830193Z             286 LOAD_CONST              48 (47)
2022-11-23T02:04:39.4830304Z             288 BINARY_SUBSCR
2022-11-23T02:04:39.4830431Z             290 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4830562Z             292 LOAD_CONST              49 (48)
2022-11-23T02:04:39.4830674Z             294 BINARY_SUBSCR
2022-11-23T02:04:39.4830779Z             296 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.4830905Z             298 LOAD_CONST              50 (49)
2022-11-23T02:04:39.4831020Z             300 BINARY_SUBSCR
2022-11-23T02:04:39.4831151Z             302 CALL_FUNCTION           50
2022-11-23T02:04:39.4831306Z             304 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.4831499Z             306 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:39.4831642Z             308 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:39.4831752Z             310 CALL_FUNCTION            0
2022-11-23T02:04:39.4831892Z             312 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:39.4832039Z             314 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.4832169Z             316 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4832282Z             318 BINARY_SUBSCR
2022-11-23T02:04:39.4832416Z             320 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.4832553Z             322 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:39.4832684Z             324 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4832847Z             326 BINARY_SUBSCR
2022-11-23T02:04:39.4832994Z             328 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:39.4833128Z             330 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.4833270Z             332 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:39.4833399Z             334 LOAD_CONST               1 (0)
2022-11-23T02:04:39.4833512Z             336 BINARY_SUBSCR
2022-11-23T02:04:39.4833659Z             338 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:39.4833752Z             340 RETURN_VALUE
2022-11-23T02:04:39.4833780Z 
2022-11-23T02:04:39.4833873Z  
2022-11-23T02:04:39.4834218Z [2022-11-23 01:57:27,672] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.4834329Z  - 
2022-11-23T02:04:39.4834499Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.4834597Z             {
2022-11-23T02:04:39.4834792Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.4835037Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 50'],
2022-11-23T02:04:39.4835211Z                 'obj_weakref': None
2022-11-23T02:04:39.4835525Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.4835678Z             }
2022-11-23T02:04:39.4835780Z             
2022-11-23T02:04:39.4835891Z  - 
2022-11-23T02:04:39.4836067Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.4836144Z             {
2022-11-23T02:04:39.4836344Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4836496Z                 'code': None,
2022-11-23T02:04:39.4836784Z                 'obj_weakref': <weakref at 0x7fa51c224540; to 'Tensor' at 0x7fa51c408d10>
2022-11-23T02:04:39.4837127Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4837222Z             }
2022-11-23T02:04:39.4837316Z             
2022-11-23T02:04:39.4837404Z  - 
2022-11-23T02:04:39.4837583Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.4837679Z             {
2022-11-23T02:04:39.4837879Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4838028Z                 'code': None,
2022-11-23T02:04:39.4838317Z                 'obj_weakref': <weakref at 0x7fa51c224770; to 'Tensor' at 0x7fa51c3e7920>
2022-11-23T02:04:39.4838661Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4838738Z             }
2022-11-23T02:04:39.4838835Z             
2022-11-23T02:04:39.4838941Z  - 
2022-11-23T02:04:39.4839118Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.4839214Z             {
2022-11-23T02:04:39.4839413Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4839571Z                 'code': None,
2022-11-23T02:04:39.4839838Z                 'obj_weakref': <weakref at 0x7fa51c3bc3b0; to 'Tensor' at 0x7fa6237e3b00>
2022-11-23T02:04:39.4840179Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4840279Z             }
2022-11-23T02:04:39.4840374Z             
2022-11-23T02:04:39.4840484Z  - 
2022-11-23T02:04:39.4840662Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T02:04:39.4840759Z             {
2022-11-23T02:04:39.4840939Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4841092Z                 'code': None,
2022-11-23T02:04:39.4841379Z                 'obj_weakref': <weakref at 0x7fa51c203330; to 'Tensor' at 0x7fa6237e3a60>
2022-11-23T02:04:39.4841717Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4841816Z             }
2022-11-23T02:04:39.4841912Z             
2022-11-23T02:04:39.4842019Z  - 
2022-11-23T02:04:39.4842172Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T02:04:39.4842271Z             {
2022-11-23T02:04:39.4842470Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4842705Z                 'code': None,
2022-11-23T02:04:39.4842984Z                 'obj_weakref': <weakref at 0x7fa51c203100; to 'Tensor' at 0x7fa6237e3ab0>
2022-11-23T02:04:39.4843328Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4843427Z             }
2022-11-23T02:04:39.4843503Z             
2022-11-23T02:04:39.4843608Z  - 
2022-11-23T02:04:39.4843780Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T02:04:39.4843878Z             {
2022-11-23T02:04:39.4844076Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4844224Z                 'code': None,
2022-11-23T02:04:39.4844508Z                 'obj_weakref': <weakref at 0x7fa51c202ed0; to 'Tensor' at 0x7fa51c3be430>
2022-11-23T02:04:39.4844826Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4844925Z             }
2022-11-23T02:04:39.4845026Z             
2022-11-23T02:04:39.4845138Z  - 
2022-11-23T02:04:39.4845311Z             local 'ex[6]' TENSOR_MATCH
2022-11-23T02:04:39.4845409Z             {
2022-11-23T02:04:39.4845610Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4845802Z                 'code': None,
2022-11-23T02:04:39.4846100Z                 'obj_weakref': <weakref at 0x7fa51c202d40; to 'Tensor' at 0x7fa51c363ce0>
2022-11-23T02:04:39.4846432Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4846527Z             }
2022-11-23T02:04:39.4846624Z             
2022-11-23T02:04:39.4846737Z  - 
2022-11-23T02:04:39.4846913Z             local 'ex[7]' TENSOR_MATCH
2022-11-23T02:04:39.4846991Z             {
2022-11-23T02:04:39.4847192Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4847345Z                 'code': None,
2022-11-23T02:04:39.4847628Z                 'obj_weakref': <weakref at 0x7fa51c202a70; to 'Tensor' at 0x7fa51c362d90>
2022-11-23T02:04:39.4847967Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4848062Z             }
2022-11-23T02:04:39.4848156Z             
2022-11-23T02:04:39.4848246Z  - 
2022-11-23T02:04:39.4848426Z             local 'ex[8]' TENSOR_MATCH
2022-11-23T02:04:39.4848522Z             {
2022-11-23T02:04:39.4848720Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4848871Z                 'code': None,
2022-11-23T02:04:39.4849150Z                 'obj_weakref': <weakref at 0x7fa51c2021b0; to 'Tensor' at 0x7fa51c3a3e70>
2022-11-23T02:04:39.4849482Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4849578Z             }
2022-11-23T02:04:39.4849654Z             
2022-11-23T02:04:39.4849756Z  - 
2022-11-23T02:04:39.4849932Z             local 'ex[9]' TENSOR_MATCH
2022-11-23T02:04:39.4850027Z             {
2022-11-23T02:04:39.4850227Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4850375Z                 'code': None,
2022-11-23T02:04:39.4850640Z                 'obj_weakref': <weakref at 0x7fa51c1d4c70; to 'Tensor' at 0x7fa51c171760>
2022-11-23T02:04:39.4850978Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4851076Z             }
2022-11-23T02:04:39.4851177Z             
2022-11-23T02:04:39.4851286Z  - 
2022-11-23T02:04:39.4851472Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.4851572Z             {
2022-11-23T02:04:39.4851745Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.4851982Z                 'code': ['___check_obj_id(model, 140351387198240)'],
2022-11-23T02:04:39.4852153Z                 'obj_weakref': None
2022-11-23T02:04:39.4852464Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.4852634Z             }
2022-11-23T02:04:39.4852729Z             
2022-11-23T02:04:39.4852837Z  - 
2022-11-23T02:04:39.4852996Z             local 'ex[10]' TENSOR_MATCH
2022-11-23T02:04:39.4853095Z             {
2022-11-23T02:04:39.4853295Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4853454Z                 'code': None,
2022-11-23T02:04:39.4853746Z                 'obj_weakref': <weakref at 0x7fa51c1d6340; to 'Tensor' at 0x7fa51c173a10>
2022-11-23T02:04:39.4854084Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4854182Z             }
2022-11-23T02:04:39.4854259Z             
2022-11-23T02:04:39.4854364Z  - 
2022-11-23T02:04:39.4854543Z             local 'ex[11]' TENSOR_MATCH
2022-11-23T02:04:39.4854640Z             {
2022-11-23T02:04:39.4854838Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4854996Z                 'code': None,
2022-11-23T02:04:39.4855274Z                 'obj_weakref': <weakref at 0x7fa51c2249f0; to 'Tensor' at 0x7fa51c172d40>
2022-11-23T02:04:39.4855611Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4855687Z             }
2022-11-23T02:04:39.4855782Z             
2022-11-23T02:04:39.4855950Z  - 
2022-11-23T02:04:39.4856734Z             local 'ex[12]' TENSOR_MATCH
2022-11-23T02:04:39.4856895Z             {
2022-11-23T02:04:39.4857254Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4857480Z                 'code': None,
2022-11-23T02:04:39.4857974Z                 'obj_weakref': <weakref at 0x7fa51c224c20; to 'Tensor' at 0x7fa51c170f90>
2022-11-23T02:04:39.4858338Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4858435Z             }
2022-11-23T02:04:39.4858532Z             
2022-11-23T02:04:39.4858638Z  - 
2022-11-23T02:04:39.4858815Z             local 'ex[13]' TENSOR_MATCH
2022-11-23T02:04:39.4858904Z             {
2022-11-23T02:04:39.4859102Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4859255Z                 'code': None,
2022-11-23T02:04:39.4859547Z                 'obj_weakref': <weakref at 0x7fa51c224ea0; to 'Tensor' at 0x7fa51c1721b0>
2022-11-23T02:04:39.4859883Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4859979Z             }
2022-11-23T02:04:39.4860074Z             
2022-11-23T02:04:39.4860159Z  - 
2022-11-23T02:04:39.4860338Z             local 'ex[14]' TENSOR_MATCH
2022-11-23T02:04:39.4860434Z             {
2022-11-23T02:04:39.4860630Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4860782Z                 'code': None,
2022-11-23T02:04:39.4861069Z                 'obj_weakref': <weakref at 0x7fa51c225120; to 'Tensor' at 0x7fa51c172110>
2022-11-23T02:04:39.4861402Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4861501Z             }
2022-11-23T02:04:39.4861576Z             
2022-11-23T02:04:39.4861681Z  - 
2022-11-23T02:04:39.4861858Z             local 'ex[15]' TENSOR_MATCH
2022-11-23T02:04:39.4861955Z             {
2022-11-23T02:04:39.4862157Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4862314Z                 'code': None,
2022-11-23T02:04:39.4862575Z                 'obj_weakref': <weakref at 0x7fa51c2253a0; to 'Tensor' at 0x7fa51c173060>
2022-11-23T02:04:39.4862912Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4863010Z             }
2022-11-23T02:04:39.4863108Z             
2022-11-23T02:04:39.4863213Z  - 
2022-11-23T02:04:39.4863388Z             local 'ex[16]' TENSOR_MATCH
2022-11-23T02:04:39.4863485Z             {
2022-11-23T02:04:39.4863664Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4864005Z                 'code': None,
2022-11-23T02:04:39.4864295Z                 'obj_weakref': <weakref at 0x7fa51c225620; to 'Tensor' at 0x7fa51c171120>
2022-11-23T02:04:39.4864628Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4864730Z             }
2022-11-23T02:04:39.4864826Z             
2022-11-23T02:04:39.4864934Z  - 
2022-11-23T02:04:39.4865109Z             local 'ex[17]' TENSOR_MATCH
2022-11-23T02:04:39.4865187Z             {
2022-11-23T02:04:39.4865380Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4865531Z                 'code': None,
2022-11-23T02:04:39.4865817Z                 'obj_weakref': <weakref at 0x7fa51c2258a0; to 'Tensor' at 0x7fa51c53e1b0>
2022-11-23T02:04:39.4866149Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4866243Z             }
2022-11-23T02:04:39.4866344Z             
2022-11-23T02:04:39.4866436Z  - 
2022-11-23T02:04:39.4866611Z             local 'ex[18]' TENSOR_MATCH
2022-11-23T02:04:39.4866704Z             {
2022-11-23T02:04:39.4866901Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4867053Z                 'code': None,
2022-11-23T02:04:39.4867420Z                 'obj_weakref': <weakref at 0x7fa51c225ad0; to 'Tensor' at 0x7fa51c53c180>
2022-11-23T02:04:39.4867759Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4867836Z             }
2022-11-23T02:04:39.4867931Z             
2022-11-23T02:04:39.4868034Z  - 
2022-11-23T02:04:39.4868210Z             local 'ex[19]' TENSOR_MATCH
2022-11-23T02:04:39.4868305Z             {
2022-11-23T02:04:39.4868502Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4868655Z                 'code': None,
2022-11-23T02:04:39.4868922Z                 'obj_weakref': <weakref at 0x7fa51c225d50; to 'Tensor' at 0x7fa51c4218f0>
2022-11-23T02:04:39.4869261Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4869357Z             }
2022-11-23T02:04:39.4869455Z             
2022-11-23T02:04:39.4869561Z  - 
2022-11-23T02:04:39.4869743Z             local 'ex[20]' TENSOR_MATCH
2022-11-23T02:04:39.4869841Z             {
2022-11-23T02:04:39.4870021Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4870172Z                 'code': None,
2022-11-23T02:04:39.4870457Z                 'obj_weakref': <weakref at 0x7fa51c225fd0; to 'Tensor' at 0x7fa51c420a90>
2022-11-23T02:04:39.4870792Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4870891Z             }
2022-11-23T02:04:39.4870984Z             
2022-11-23T02:04:39.4871091Z  - 
2022-11-23T02:04:39.4871245Z             local 'ex[21]' TENSOR_MATCH
2022-11-23T02:04:39.4871342Z             {
2022-11-23T02:04:39.4871544Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4871699Z                 'code': None,
2022-11-23T02:04:39.4871981Z                 'obj_weakref': <weakref at 0x7fa51c226250; to 'Tensor' at 0x7fa51c4204a0>
2022-11-23T02:04:39.4872316Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4872413Z             }
2022-11-23T02:04:39.4872490Z             
2022-11-23T02:04:39.4872594Z  - 
2022-11-23T02:04:39.4872768Z             local 'ex[22]' TENSOR_MATCH
2022-11-23T02:04:39.4872864Z             {
2022-11-23T02:04:39.4873059Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4873211Z                 'code': None,
2022-11-23T02:04:39.4873489Z                 'obj_weakref': <weakref at 0x7fa51c226480; to 'Tensor' at 0x7fa51c420810>
2022-11-23T02:04:39.4873801Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4873957Z             }
2022-11-23T02:04:39.4874052Z             
2022-11-23T02:04:39.4874162Z  - 
2022-11-23T02:04:39.4874340Z             local 'ex[23]' TENSOR_MATCH
2022-11-23T02:04:39.4874435Z             {
2022-11-23T02:04:39.4874631Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4874772Z                 'code': None,
2022-11-23T02:04:39.4875052Z                 'obj_weakref': <weakref at 0x7fa51c226700; to 'Tensor' at 0x7fa51c4235b0>
2022-11-23T02:04:39.4875392Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4875489Z             }
2022-11-23T02:04:39.4875587Z             
2022-11-23T02:04:39.4875695Z  - 
2022-11-23T02:04:39.4875871Z             local 'ex[24]' TENSOR_MATCH
2022-11-23T02:04:39.4875950Z             {
2022-11-23T02:04:39.4876148Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4876300Z                 'code': None,
2022-11-23T02:04:39.4876583Z                 'obj_weakref': <weakref at 0x7fa51c226980; to 'Tensor' at 0x7fa51c422a70>
2022-11-23T02:04:39.4876920Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4877017Z             }
2022-11-23T02:04:39.4877111Z             
2022-11-23T02:04:39.4877246Z  - 
2022-11-23T02:04:39.4877431Z             local 'ex[25]' TENSOR_MATCH
2022-11-23T02:04:39.4877525Z             {
2022-11-23T02:04:39.4877722Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4877874Z                 'code': None,
2022-11-23T02:04:39.4878158Z                 'obj_weakref': <weakref at 0x7fa51c226c00; to 'Tensor' at 0x7fa51c4227f0>
2022-11-23T02:04:39.4878486Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4878563Z             }
2022-11-23T02:04:39.4878659Z             
2022-11-23T02:04:39.4878761Z  - 
2022-11-23T02:04:39.4878933Z             local 'ex[26]' TENSOR_MATCH
2022-11-23T02:04:39.4879030Z             {
2022-11-23T02:04:39.4879227Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4879380Z                 'code': None,
2022-11-23T02:04:39.4879648Z                 'obj_weakref': <weakref at 0x7fa51c226e30; to 'Tensor' at 0x7fa51c13a4d0>
2022-11-23T02:04:39.4879978Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4880074Z             }
2022-11-23T02:04:39.4880168Z             
2022-11-23T02:04:39.4880271Z  - 
2022-11-23T02:04:39.4880446Z             local 'ex[27]' TENSOR_MATCH
2022-11-23T02:04:39.4880540Z             {
2022-11-23T02:04:39.4880719Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4880873Z                 'code': None,
2022-11-23T02:04:39.4881153Z                 'obj_weakref': <weakref at 0x7fa51c2270b0; to 'Tensor' at 0x7fa51c13a3e0>
2022-11-23T02:04:39.4881489Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4881588Z             }
2022-11-23T02:04:39.4881682Z             
2022-11-23T02:04:39.4881786Z  - 
2022-11-23T02:04:39.4881940Z             local 'ex[28]' TENSOR_MATCH
2022-11-23T02:04:39.4882037Z             {
2022-11-23T02:04:39.4882238Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4882392Z                 'code': None,
2022-11-23T02:04:39.4882675Z                 'obj_weakref': <weakref at 0x7fa51c2272e0; to 'Tensor' at 0x7fa51c13aa70>
2022-11-23T02:04:39.4883007Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4883104Z             }
2022-11-23T02:04:39.4883180Z             
2022-11-23T02:04:39.4883286Z  - 
2022-11-23T02:04:39.4883459Z             local 'ex[29]' TENSOR_MATCH
2022-11-23T02:04:39.4883555Z             {
2022-11-23T02:04:39.4883750Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4883963Z                 'code': None,
2022-11-23T02:04:39.4884246Z                 'obj_weakref': <weakref at 0x7fa51c227560; to 'Tensor' at 0x7fa51c1385e0>
2022-11-23T02:04:39.4884560Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4884663Z             }
2022-11-23T02:04:39.4884757Z             
2022-11-23T02:04:39.4884863Z  - 
2022-11-23T02:04:39.4885037Z             local 'ex[30]' TENSOR_MATCH
2022-11-23T02:04:39.4885135Z             {
2022-11-23T02:04:39.4885335Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4885531Z                 'code': None,
2022-11-23T02:04:39.4885815Z                 'obj_weakref': <weakref at 0x7fa51c2277e0; to 'Tensor' at 0x7fa51c138360>
2022-11-23T02:04:39.4886145Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4886242Z             }
2022-11-23T02:04:39.4886337Z             
2022-11-23T02:04:39.4886446Z  - 
2022-11-23T02:04:39.4886619Z             local 'ex[31]' TENSOR_MATCH
2022-11-23T02:04:39.4886695Z             {
2022-11-23T02:04:39.4886890Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4887040Z                 'code': None,
2022-11-23T02:04:39.4887378Z                 'obj_weakref': <weakref at 0x7fa51c227a60; to 'Tensor' at 0x7fa51c139f80>
2022-11-23T02:04:39.4887724Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4887820Z             }
2022-11-23T02:04:39.4887914Z             
2022-11-23T02:04:39.4888004Z  - 
2022-11-23T02:04:39.4888179Z             local 'ex[32]' TENSOR_MATCH
2022-11-23T02:04:39.4888275Z             {
2022-11-23T02:04:39.4888471Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4888621Z                 'code': None,
2022-11-23T02:04:39.4888904Z                 'obj_weakref': <weakref at 0x7fa51c227c90; to 'Tensor' at 0x7fa51c15b7e0>
2022-11-23T02:04:39.4889242Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4889337Z             }
2022-11-23T02:04:39.4889414Z             
2022-11-23T02:04:39.4889520Z  - 
2022-11-23T02:04:39.4889696Z             local 'ex[33]' TENSOR_MATCH
2022-11-23T02:04:39.4889793Z             {
2022-11-23T02:04:39.4889990Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4890141Z                 'code': None,
2022-11-23T02:04:39.4890404Z                 'obj_weakref': <weakref at 0x7fa51c227f10; to 'Tensor' at 0x7fa51c158e00>
2022-11-23T02:04:39.4890738Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4890831Z             }
2022-11-23T02:04:39.4890926Z             
2022-11-23T02:04:39.4891036Z  - 
2022-11-23T02:04:39.4891214Z             local 'ex[34]' TENSOR_MATCH
2022-11-23T02:04:39.4891314Z             {
2022-11-23T02:04:39.4891499Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4891653Z                 'code': None,
2022-11-23T02:04:39.4891934Z                 'obj_weakref': <weakref at 0x7fa5042fc1d0; to 'Tensor' at 0x7fa51c15ae80>
2022-11-23T02:04:39.4892271Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4892369Z             }
2022-11-23T02:04:39.4892468Z             
2022-11-23T02:04:39.4892573Z  - 
2022-11-23T02:04:39.4892729Z             local 'ex[35]' TENSOR_MATCH
2022-11-23T02:04:39.4892826Z             {
2022-11-23T02:04:39.4893026Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4893181Z                 'code': None,
2022-11-23T02:04:39.4893462Z                 'obj_weakref': <weakref at 0x7fa61aa744f0; to 'Tensor' at 0x7fa51c15b790>
2022-11-23T02:04:39.4893794Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4893983Z             }
2022-11-23T02:04:39.4894082Z             
2022-11-23T02:04:39.4894172Z  - 
2022-11-23T02:04:39.4894350Z             local 'ex[36]' TENSOR_MATCH
2022-11-23T02:04:39.4894445Z             {
2022-11-23T02:04:39.4894645Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4894805Z                 'code': None,
2022-11-23T02:04:39.4895087Z                 'obj_weakref': <weakref at 0x7fa51c201990; to 'Tensor' at 0x7fa51c30f560>
2022-11-23T02:04:39.4895424Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4895501Z             }
2022-11-23T02:04:39.4895596Z             
2022-11-23T02:04:39.4895703Z  - 
2022-11-23T02:04:39.4895881Z             local 'ex[37]' TENSOR_MATCH
2022-11-23T02:04:39.4895980Z             {
2022-11-23T02:04:39.4896729Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4896968Z                 'code': None,
2022-11-23T02:04:39.4897441Z                 'obj_weakref': <weakref at 0x7fa51c2022a0; to 'Tensor' at 0x7fa51c1d6f70>
2022-11-23T02:04:39.4898034Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4898189Z             }
2022-11-23T02:04:39.4898314Z             
2022-11-23T02:04:39.4898650Z  - 
2022-11-23T02:04:39.4898839Z             local 'ex[38]' TENSOR_MATCH
2022-11-23T02:04:39.4898917Z             {
2022-11-23T02:04:39.4899118Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4899271Z                 'code': None,
2022-11-23T02:04:39.4899555Z                 'obj_weakref': <weakref at 0x7fa51c201440; to 'Tensor' at 0x7fa51c1d7880>
2022-11-23T02:04:39.4899887Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4899983Z             }
2022-11-23T02:04:39.4900084Z             
2022-11-23T02:04:39.4900188Z  - 
2022-11-23T02:04:39.4900345Z             local 'ex[39]' TENSOR_MATCH
2022-11-23T02:04:39.4900448Z             {
2022-11-23T02:04:39.4900645Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4900794Z                 'code': None,
2022-11-23T02:04:39.4901079Z                 'obj_weakref': <weakref at 0x7fa51c200d60; to 'Tensor' at 0x7fa51c1d60c0>
2022-11-23T02:04:39.4901411Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4901508Z             }
2022-11-23T02:04:39.4901584Z             
2022-11-23T02:04:39.4901690Z  - 
2022-11-23T02:04:39.4901864Z             local 'ex[40]' TENSOR_MATCH
2022-11-23T02:04:39.4901960Z             {
2022-11-23T02:04:39.4902156Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4902311Z                 'code': None,
2022-11-23T02:04:39.4902594Z                 'obj_weakref': <weakref at 0x7fa51c1d4f90; to 'Tensor' at 0x7fa51c1d4810>
2022-11-23T02:04:39.4902907Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4903009Z             }
2022-11-23T02:04:39.4903104Z             
2022-11-23T02:04:39.4903211Z  - 
2022-11-23T02:04:39.4903388Z             local 'ex[41]' TENSOR_MATCH
2022-11-23T02:04:39.4903483Z             {
2022-11-23T02:04:39.4903681Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4903817Z                 'code': None,
2022-11-23T02:04:39.4904098Z                 'obj_weakref': <weakref at 0x7fa51c1d7060; to 'Tensor' at 0x7fa51c1d65c0>
2022-11-23T02:04:39.4904426Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4904522Z             }
2022-11-23T02:04:39.4904617Z             
2022-11-23T02:04:39.4904718Z  - 
2022-11-23T02:04:39.4904899Z             local 'ex[42]' TENSOR_MATCH
2022-11-23T02:04:39.4904976Z             {
2022-11-23T02:04:39.4905171Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4905422Z                 'code': None,
2022-11-23T02:04:39.4905711Z                 'obj_weakref': <weakref at 0x7fa51c1d4ea0; to 'Tensor' at 0x7fa51c1d6390>
2022-11-23T02:04:39.4906103Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4906205Z             }
2022-11-23T02:04:39.4906300Z             
2022-11-23T02:04:39.4906388Z  - 
2022-11-23T02:04:39.4906561Z             local 'ex[43]' TENSOR_MATCH
2022-11-23T02:04:39.4906660Z             {
2022-11-23T02:04:39.4906855Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4907009Z                 'code': None,
2022-11-23T02:04:39.4907291Z                 'obj_weakref': <weakref at 0x7fa51c4c5da0; to 'Tensor' at 0x7fa51c513f60>
2022-11-23T02:04:39.4907624Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4907701Z             }
2022-11-23T02:04:39.4907796Z             
2022-11-23T02:04:39.4907903Z  - 
2022-11-23T02:04:39.4908079Z             local 'ex[44]' TENSOR_MATCH
2022-11-23T02:04:39.4908175Z             {
2022-11-23T02:04:39.4908378Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4908532Z                 'code': None,
2022-11-23T02:04:39.4908848Z                 'obj_weakref': <weakref at 0x7fa51c2aec00; to 'Tensor' at 0x7fa51c203740>
2022-11-23T02:04:39.4909194Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4909290Z             }
2022-11-23T02:04:39.4909387Z             
2022-11-23T02:04:39.4909493Z  - 
2022-11-23T02:04:39.4909668Z             local 'ex[45]' TENSOR_MATCH
2022-11-23T02:04:39.4909768Z             {
2022-11-23T02:04:39.4909947Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4910100Z                 'code': None,
2022-11-23T02:04:39.4910389Z                 'obj_weakref': <weakref at 0x7fa51c352de0; to 'Tensor' at 0x7fa51c202070>
2022-11-23T02:04:39.4910727Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4910824Z             }
2022-11-23T02:04:39.4910920Z             
2022-11-23T02:04:39.4911023Z  - 
2022-11-23T02:04:39.4911182Z             local 'ex[46]' TENSOR_MATCH
2022-11-23T02:04:39.4911278Z             {
2022-11-23T02:04:39.4911473Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4911626Z                 'code': None,
2022-11-23T02:04:39.4911907Z                 'obj_weakref': <weakref at 0x7fa51c24d2b0; to 'Tensor' at 0x7fa51c2020c0>
2022-11-23T02:04:39.4912237Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4912333Z             }
2022-11-23T02:04:39.4912410Z             
2022-11-23T02:04:39.4912516Z  - 
2022-11-23T02:04:39.4912688Z             local 'ex[47]' TENSOR_MATCH
2022-11-23T02:04:39.4912784Z             {
2022-11-23T02:04:39.4912991Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4913145Z                 'code': None,
2022-11-23T02:04:39.4913432Z                 'obj_weakref': <weakref at 0x7fa53214fba0; to 'Tensor' at 0x7fa51c203a10>
2022-11-23T02:04:39.4913753Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4913853Z             }
2022-11-23T02:04:39.4913953Z             
2022-11-23T02:04:39.4914059Z  - 
2022-11-23T02:04:39.4914236Z             local 'ex[48]' TENSOR_MATCH
2022-11-23T02:04:39.4914332Z             {
2022-11-23T02:04:39.4914528Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4914668Z                 'code': None,
2022-11-23T02:04:39.4914950Z                 'obj_weakref': <weakref at 0x7fa531e84e50; to 'Tensor' at 0x7fa51c203ab0>
2022-11-23T02:04:39.4915284Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4915451Z             }
2022-11-23T02:04:39.4915547Z             
2022-11-23T02:04:39.4915657Z  - 
2022-11-23T02:04:39.4915833Z             local 'ex[49]' TENSOR_MATCH
2022-11-23T02:04:39.4915910Z             {
2022-11-23T02:04:39.4916108Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.4916268Z                 'code': None,
2022-11-23T02:04:39.4916555Z                 'obj_weakref': <weakref at 0x7fa51c30f510; to 'Tensor' at 0x7fa51c203970>
2022-11-23T02:04:39.4916890Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.4916986Z             }
2022-11-23T02:04:39.4917087Z             
2022-11-23T02:04:39.4917176Z  - 
2022-11-23T02:04:39.4917349Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.4917446Z             {
2022-11-23T02:04:39.4917637Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.4917927Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.4918106Z                 'obj_weakref': None
2022-11-23T02:04:39.4918410Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.4918490Z             }
2022-11-23T02:04:39.4918590Z             
2022-11-23T02:04:39.4918755Z  - 
2022-11-23T02:04:39.4919020Z             local 'model.__closure__[0].cell_contents' CONSTANT_MATCH
2022-11-23T02:04:39.4919116Z             {
2022-11-23T02:04:39.4919313Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.4919692Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050129792)', 'model.__closure__[0].cell_contents == 50'],
2022-11-23T02:04:39.4919841Z                 'obj_weakref': None
2022-11-23T02:04:39.4920143Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.4920239Z             }
2022-11-23T02:04:39.4920334Z             
2022-11-23T02:04:39.4920440Z  - 
2022-11-23T02:04:39.4920628Z             global 'range' BUILTIN_MATCH
2022-11-23T02:04:39.4920726Z             {
2022-11-23T02:04:39.4920879Z                 'guard_types': None,
2022-11-23T02:04:39.4921030Z                 'code': None,
2022-11-23T02:04:39.4921202Z                 'obj_weakref': None
2022-11-23T02:04:39.4921372Z                 'guarded_class': None
2022-11-23T02:04:39.4921466Z             }
2022-11-23T02:04:39.4921565Z             
2022-11-23T02:04:39.4921671Z  - 
2022-11-23T02:04:39.4921835Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.4921938Z             {
2022-11-23T02:04:39.4922108Z                 'guard_types': None,
2022-11-23T02:04:39.4922267Z                 'code': None,
2022-11-23T02:04:39.4922434Z                 'obj_weakref': None
2022-11-23T02:04:39.4922600Z                 'guarded_class': None
2022-11-23T02:04:39.4922695Z             }
2022-11-23T02:04:39.4922772Z             
2022-11-23T02:04:39.4923131Z [2022-11-23 01:57:28,039] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 252
2022-11-23T02:04:39.4923167Z 
2022-11-23T02:04:39.4923305Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.4923409Z import torch
2022-11-23T02:04:39.4923511Z import random
2022-11-23T02:04:39.4923677Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.4923849Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.4923869Z 
2022-11-23T02:04:39.4923965Z aten = torch.ops.aten
2022-11-23T02:04:39.4924153Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.4924287Z async_compile = AsyncCompile()
2022-11-23T02:04:39.4924307Z 
2022-11-23T02:04:39.4924326Z 
2022-11-23T02:04:39.4924523Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.4924803Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.4924970Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.4925131Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.4925355Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.4925486Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.4925635Z                        const float* __restrict__ in_ptr3,
2022-11-23T02:04:39.4925788Z                        const float* __restrict__ in_ptr4,
2022-11-23T02:04:39.4925936Z                        const float* __restrict__ in_ptr5,
2022-11-23T02:04:39.4926081Z                        const float* __restrict__ in_ptr6,
2022-11-23T02:04:39.4926225Z                        const float* __restrict__ in_ptr7,
2022-11-23T02:04:39.4926367Z                        const float* __restrict__ in_ptr8,
2022-11-23T02:04:39.4926513Z                        const float* __restrict__ in_ptr9,
2022-11-23T02:04:39.4926646Z                        const float* __restrict__ in_ptr10,
2022-11-23T02:04:39.4926796Z                        const float* __restrict__ in_ptr11,
2022-11-23T02:04:39.4926944Z                        const float* __restrict__ in_ptr12,
2022-11-23T02:04:39.4927092Z                        const float* __restrict__ in_ptr13,
2022-11-23T02:04:39.4927238Z                        const float* __restrict__ in_ptr14,
2022-11-23T02:04:39.4927449Z                        const float* __restrict__ in_ptr15,
2022-11-23T02:04:39.4927599Z                        const float* __restrict__ in_ptr16,
2022-11-23T02:04:39.4927726Z                        const float* __restrict__ in_ptr17,
2022-11-23T02:04:39.4927872Z                        const float* __restrict__ in_ptr18,
2022-11-23T02:04:39.4928016Z                        const float* __restrict__ in_ptr19,
2022-11-23T02:04:39.4928158Z                        const float* __restrict__ in_ptr20,
2022-11-23T02:04:39.4928300Z                        const float* __restrict__ in_ptr21,
2022-11-23T02:04:39.4928439Z                        const float* __restrict__ in_ptr22,
2022-11-23T02:04:39.4928583Z                        const float* __restrict__ in_ptr23,
2022-11-23T02:04:39.4928727Z                        const float* __restrict__ in_ptr24,
2022-11-23T02:04:39.4928853Z                        const float* __restrict__ in_ptr25,
2022-11-23T02:04:39.4928998Z                        const float* __restrict__ in_ptr26,
2022-11-23T02:04:39.4929144Z                        const float* __restrict__ in_ptr27,
2022-11-23T02:04:39.4929287Z                        const float* __restrict__ in_ptr28,
2022-11-23T02:04:39.4929432Z                        const float* __restrict__ in_ptr29,
2022-11-23T02:04:39.4929575Z                        const float* __restrict__ in_ptr30,
2022-11-23T02:04:39.4929719Z                        const float* __restrict__ in_ptr31,
2022-11-23T02:04:39.4929845Z                        const float* __restrict__ in_ptr32,
2022-11-23T02:04:39.4929993Z                        const float* __restrict__ in_ptr33,
2022-11-23T02:04:39.4930140Z                        const float* __restrict__ in_ptr34,
2022-11-23T02:04:39.4930285Z                        const float* __restrict__ in_ptr35,
2022-11-23T02:04:39.4930433Z                        const float* __restrict__ in_ptr36,
2022-11-23T02:04:39.4930577Z                        const float* __restrict__ in_ptr37,
2022-11-23T02:04:39.4930719Z                        const float* __restrict__ in_ptr38,
2022-11-23T02:04:39.4930864Z                        const float* __restrict__ in_ptr39,
2022-11-23T02:04:39.4930988Z                        const float* __restrict__ in_ptr40,
2022-11-23T02:04:39.4931131Z                        const float* __restrict__ in_ptr41,
2022-11-23T02:04:39.4931272Z                        const float* __restrict__ in_ptr42,
2022-11-23T02:04:39.4931421Z                        const float* __restrict__ in_ptr43,
2022-11-23T02:04:39.4931564Z                        const float* __restrict__ in_ptr44,
2022-11-23T02:04:39.4931706Z                        const float* __restrict__ in_ptr45,
2022-11-23T02:04:39.4931849Z                        const float* __restrict__ in_ptr46,
2022-11-23T02:04:39.4932061Z                        const float* __restrict__ in_ptr47,
2022-11-23T02:04:39.4932205Z                        const float* __restrict__ in_ptr48,
2022-11-23T02:04:39.4932351Z                        const float* __restrict__ in_ptr49)
2022-11-23T02:04:39.4932445Z {
2022-11-23T02:04:39.4932575Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T02:04:39.4932717Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.4932814Z     {
2022-11-23T02:04:39.4932910Z         #pragma omp for 
2022-11-23T02:04:39.4933035Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.4933128Z         {
2022-11-23T02:04:39.4933358Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.4933543Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.4933721Z             auto tmp4 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T02:04:39.4933903Z             auto tmp6 = at::vec::Vectorized<float>::loadu(in_ptr3 + 8*i0);
2022-11-23T02:04:39.4934084Z             auto tmp8 = at::vec::Vectorized<float>::loadu(in_ptr4 + 8*i0);
2022-11-23T02:04:39.4934269Z             auto tmp10 = at::vec::Vectorized<float>::loadu(in_ptr5 + 8*i0);
2022-11-23T02:04:39.4934431Z             auto tmp12 = at::vec::Vectorized<float>::loadu(in_ptr6 + 8*i0);
2022-11-23T02:04:39.4934672Z             auto tmp14 = at::vec::Vectorized<float>::loadu(in_ptr7 + 8*i0);
2022-11-23T02:04:39.4934855Z             auto tmp16 = at::vec::Vectorized<float>::loadu(in_ptr8 + 8*i0);
2022-11-23T02:04:39.4934980Z             auto tmp1 = tmp0 + tmp0;
2022-11-23T02:04:39.4935103Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:39.4935224Z             auto tmp5 = tmp3 + tmp4;
2022-11-23T02:04:39.4935344Z             auto tmp7 = tmp5 + tmp6;
2022-11-23T02:04:39.4935445Z             auto tmp9 = tmp7 + tmp8;
2022-11-23T02:04:39.4935571Z             auto tmp11 = tmp9 + tmp10;
2022-11-23T02:04:39.4935698Z             auto tmp13 = tmp11 + tmp12;
2022-11-23T02:04:39.4935824Z             auto tmp15 = tmp13 + tmp14;
2022-11-23T02:04:39.4935954Z             auto tmp17 = tmp15 + tmp16;
2022-11-23T02:04:39.4936682Z             tmp17.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.4936842Z         }
2022-11-23T02:04:39.4937036Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.4937245Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.4937395Z         {
2022-11-23T02:04:39.4937609Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.4937802Z             auto tmp2 = in_ptr1[i0];
2022-11-23T02:04:39.4937997Z             auto tmp4 = in_ptr2[i0];
2022-11-23T02:04:39.4938199Z             auto tmp6 = in_ptr3[i0];
2022-11-23T02:04:39.4938368Z             auto tmp8 = in_ptr4[i0];
2022-11-23T02:04:39.4938548Z             auto tmp10 = in_ptr5[i0];
2022-11-23T02:04:39.4938673Z             auto tmp12 = in_ptr6[i0];
2022-11-23T02:04:39.4938793Z             auto tmp14 = in_ptr7[i0];
2022-11-23T02:04:39.4938911Z             auto tmp16 = in_ptr8[i0];
2022-11-23T02:04:39.4939034Z             auto tmp1 = tmp0 + tmp0;
2022-11-23T02:04:39.4939160Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:39.4939260Z             auto tmp5 = tmp3 + tmp4;
2022-11-23T02:04:39.4939381Z             auto tmp7 = tmp5 + tmp6;
2022-11-23T02:04:39.4939500Z             auto tmp9 = tmp7 + tmp8;
2022-11-23T02:04:39.4939625Z             auto tmp11 = tmp9 + tmp10;
2022-11-23T02:04:39.4939751Z             auto tmp13 = tmp11 + tmp12;
2022-11-23T02:04:39.4939879Z             auto tmp15 = tmp13 + tmp14;
2022-11-23T02:04:39.4940002Z             auto tmp17 = tmp15 + tmp16;
2022-11-23T02:04:39.4940101Z             out_ptr0[i0] = tmp17;
2022-11-23T02:04:39.4940196Z         }
2022-11-23T02:04:39.4940310Z         #pragma omp for 
2022-11-23T02:04:39.4940426Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.4940522Z         {
2022-11-23T02:04:39.4940724Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2022-11-23T02:04:39.4940909Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr9 + 8*i0);
2022-11-23T02:04:39.4941232Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr10 + 8*i0);
2022-11-23T02:04:39.4941417Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr11 + 8*i0);
2022-11-23T02:04:39.4941600Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr12 + 8*i0);
2022-11-23T02:04:39.4941778Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr13 + 8*i0);
2022-11-23T02:04:39.4941962Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr14 + 8*i0);
2022-11-23T02:04:39.4942145Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr15 + 8*i0);
2022-11-23T02:04:39.4942327Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr16 + 8*i0);
2022-11-23T02:04:39.4942452Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4942578Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.4942680Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T02:04:39.4942802Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T02:04:39.4942931Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T02:04:39.4943052Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T02:04:39.4943177Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T02:04:39.4943297Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T02:04:39.4943513Z             tmp16.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.4943598Z         }
2022-11-23T02:04:39.4943737Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.4943859Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.4943950Z         {
2022-11-23T02:04:39.4944073Z             auto tmp0 = out_ptr0[i0];
2022-11-23T02:04:39.4944200Z             auto tmp1 = in_ptr9[i0];
2022-11-23T02:04:39.4944323Z             auto tmp3 = in_ptr10[i0];
2022-11-23T02:04:39.4944426Z             auto tmp5 = in_ptr11[i0];
2022-11-23T02:04:39.4944548Z             auto tmp7 = in_ptr12[i0];
2022-11-23T02:04:39.4944668Z             auto tmp9 = in_ptr13[i0];
2022-11-23T02:04:39.4944860Z             auto tmp11 = in_ptr14[i0];
2022-11-23T02:04:39.4944986Z             auto tmp13 = in_ptr15[i0];
2022-11-23T02:04:39.4945109Z             auto tmp15 = in_ptr16[i0];
2022-11-23T02:04:39.4945230Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4945333Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.4945456Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T02:04:39.4945577Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T02:04:39.4945697Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T02:04:39.4945821Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T02:04:39.4945943Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T02:04:39.4946065Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T02:04:39.4946169Z             in_out_ptr0[i0] = tmp16;
2022-11-23T02:04:39.4946260Z         }
2022-11-23T02:04:39.4946375Z         #pragma omp for 
2022-11-23T02:04:39.4946495Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.4946589Z         {
2022-11-23T02:04:39.4946782Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.4946970Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr17 + 8*i0);
2022-11-23T02:04:39.4947131Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr18 + 8*i0);
2022-11-23T02:04:39.4947311Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr19 + 8*i0);
2022-11-23T02:04:39.4947491Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr20 + 8*i0);
2022-11-23T02:04:39.4947666Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr21 + 8*i0);
2022-11-23T02:04:39.4947851Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr22 + 8*i0);
2022-11-23T02:04:39.4948032Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr23 + 8*i0);
2022-11-23T02:04:39.4948215Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr24 + 8*i0);
2022-11-23T02:04:39.4948337Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4948460Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.4948562Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T02:04:39.4948744Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T02:04:39.4948866Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T02:04:39.4948991Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T02:04:39.4949114Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T02:04:39.4949242Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T02:04:39.4949383Z             tmp16.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.4949460Z         }
2022-11-23T02:04:39.4949595Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.4949715Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.4949811Z         {
2022-11-23T02:04:39.4949940Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T02:04:39.4950064Z             auto tmp1 = in_ptr17[i0];
2022-11-23T02:04:39.4950168Z             auto tmp3 = in_ptr18[i0];
2022-11-23T02:04:39.4950290Z             auto tmp5 = in_ptr19[i0];
2022-11-23T02:04:39.4950406Z             auto tmp7 = in_ptr20[i0];
2022-11-23T02:04:39.4950531Z             auto tmp9 = in_ptr21[i0];
2022-11-23T02:04:39.4950651Z             auto tmp11 = in_ptr22[i0];
2022-11-23T02:04:39.4950774Z             auto tmp13 = in_ptr23[i0];
2022-11-23T02:04:39.4950897Z             auto tmp15 = in_ptr24[i0];
2022-11-23T02:04:39.4951045Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4951172Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.4951292Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T02:04:39.4951411Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T02:04:39.4951533Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T02:04:39.4951656Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T02:04:39.4951778Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T02:04:39.4951884Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T02:04:39.4952008Z             in_out_ptr0[i0] = tmp16;
2022-11-23T02:04:39.4952101Z         }
2022-11-23T02:04:39.4952214Z         #pragma omp for 
2022-11-23T02:04:39.4952332Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.4952432Z         {
2022-11-23T02:04:39.4952622Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.4952788Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr25 + 8*i0);
2022-11-23T02:04:39.4952972Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr26 + 8*i0);
2022-11-23T02:04:39.4953155Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr27 + 8*i0);
2022-11-23T02:04:39.4953331Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr28 + 8*i0);
2022-11-23T02:04:39.4953507Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr29 + 8*i0);
2022-11-23T02:04:39.4953693Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr30 + 8*i0);
2022-11-23T02:04:39.4953873Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr31 + 8*i0);
2022-11-23T02:04:39.4954057Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr32 + 8*i0);
2022-11-23T02:04:39.4954184Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4954294Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.4954416Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T02:04:39.4954534Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T02:04:39.4954657Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T02:04:39.4954782Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T02:04:39.4954902Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T02:04:39.4955026Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T02:04:39.4955148Z             tmp16.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.4955244Z         }
2022-11-23T02:04:39.4955381Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.4955499Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.4955593Z         {
2022-11-23T02:04:39.4955724Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T02:04:39.4955845Z             auto tmp1 = in_ptr25[i0];
2022-11-23T02:04:39.4955950Z             auto tmp3 = in_ptr26[i0];
2022-11-23T02:04:39.4956072Z             auto tmp5 = in_ptr27[i0];
2022-11-23T02:04:39.4956260Z             auto tmp7 = in_ptr28[i0];
2022-11-23T02:04:39.4956381Z             auto tmp9 = in_ptr29[i0];
2022-11-23T02:04:39.4956504Z             auto tmp11 = in_ptr30[i0];
2022-11-23T02:04:39.4956628Z             auto tmp13 = in_ptr31[i0];
2022-11-23T02:04:39.4956755Z             auto tmp15 = in_ptr32[i0];
2022-11-23T02:04:39.4956860Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4956981Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.4957103Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T02:04:39.4957224Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T02:04:39.4957344Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T02:04:39.4957469Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T02:04:39.4957598Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T02:04:39.4957705Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T02:04:39.4957827Z             in_out_ptr0[i0] = tmp16;
2022-11-23T02:04:39.4957920Z         }
2022-11-23T02:04:39.4958038Z         #pragma omp for 
2022-11-23T02:04:39.4958156Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.4958248Z         {
2022-11-23T02:04:39.4958440Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.4958651Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr33 + 8*i0);
2022-11-23T02:04:39.4958842Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr34 + 8*i0);
2022-11-23T02:04:39.4959022Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr35 + 8*i0);
2022-11-23T02:04:39.4959256Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr36 + 8*i0);
2022-11-23T02:04:39.4959379Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr37 + 8*i0);
2022-11-23T02:04:39.4959611Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr38 + 8*i0);
2022-11-23T02:04:39.4959743Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr39 + 8*i0);
2022-11-23T02:04:39.4959921Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr40 + 8*i0);
2022-11-23T02:04:39.4960050Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4960153Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.4960275Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T02:04:39.4960399Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T02:04:39.4960523Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T02:04:39.4960648Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T02:04:39.4960771Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T02:04:39.4960896Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T02:04:39.4961016Z             tmp16.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.4961112Z         }
2022-11-23T02:04:39.4961253Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.4961373Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.4961470Z         {
2022-11-23T02:04:39.4961605Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T02:04:39.4961729Z             auto tmp1 = in_ptr33[i0];
2022-11-23T02:04:39.4961840Z             auto tmp3 = in_ptr34[i0];
2022-11-23T02:04:39.4961962Z             auto tmp5 = in_ptr35[i0];
2022-11-23T02:04:39.4962083Z             auto tmp7 = in_ptr36[i0];
2022-11-23T02:04:39.4962202Z             auto tmp9 = in_ptr37[i0];
2022-11-23T02:04:39.4962335Z             auto tmp11 = in_ptr38[i0];
2022-11-23T02:04:39.4962460Z             auto tmp13 = in_ptr39[i0];
2022-11-23T02:04:39.4962585Z             auto tmp15 = in_ptr40[i0];
2022-11-23T02:04:39.4962689Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4962810Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.4962930Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T02:04:39.4963049Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T02:04:39.4963170Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T02:04:39.4963294Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T02:04:39.4963415Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T02:04:39.4963523Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T02:04:39.4963709Z             in_out_ptr0[i0] = tmp16;
2022-11-23T02:04:39.4963805Z         }
2022-11-23T02:04:39.4963919Z         #pragma omp for 
2022-11-23T02:04:39.4964035Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.4964127Z         {
2022-11-23T02:04:39.4964322Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.4964486Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr41 + 8*i0);
2022-11-23T02:04:39.4964664Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr42 + 8*i0);
2022-11-23T02:04:39.4964842Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr43 + 8*i0);
2022-11-23T02:04:39.4965019Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr44 + 8*i0);
2022-11-23T02:04:39.4965195Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr45 + 8*i0);
2022-11-23T02:04:39.4965376Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr46 + 8*i0);
2022-11-23T02:04:39.4965617Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr47 + 8*i0);
2022-11-23T02:04:39.4965801Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr48 + 8*i0);
2022-11-23T02:04:39.4965923Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4966098Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.4966227Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T02:04:39.4966347Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T02:04:39.4966472Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T02:04:39.4966598Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T02:04:39.4966720Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T02:04:39.4966840Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T02:04:39.4966960Z             tmp16.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.4967055Z         }
2022-11-23T02:04:39.4967192Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.4967312Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.4967406Z         {
2022-11-23T02:04:39.4967536Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T02:04:39.4967641Z             auto tmp1 = in_ptr41[i0];
2022-11-23T02:04:39.4967764Z             auto tmp3 = in_ptr42[i0];
2022-11-23T02:04:39.4967885Z             auto tmp5 = in_ptr43[i0];
2022-11-23T02:04:39.4968008Z             auto tmp7 = in_ptr44[i0];
2022-11-23T02:04:39.4968128Z             auto tmp9 = in_ptr45[i0];
2022-11-23T02:04:39.4968251Z             auto tmp11 = in_ptr46[i0];
2022-11-23T02:04:39.4968375Z             auto tmp13 = in_ptr47[i0];
2022-11-23T02:04:39.4968479Z             auto tmp15 = in_ptr48[i0];
2022-11-23T02:04:39.4968602Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4968723Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.4968844Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T02:04:39.4968963Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T02:04:39.4969086Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T02:04:39.4969250Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T02:04:39.4969315Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T02:04:39.4969489Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T02:04:39.4969566Z             in_out_ptr0[i0] = tmp16;
2022-11-23T02:04:39.4969661Z         }
2022-11-23T02:04:39.4969779Z         #pragma omp for 
2022-11-23T02:04:39.4969902Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.4969996Z         {
2022-11-23T02:04:39.4970170Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.4970356Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr49 + 8*i0);
2022-11-23T02:04:39.4970478Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4970620Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.4970765Z         }
2022-11-23T02:04:39.4970853Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.4970997Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.4971101Z         {
2022-11-23T02:04:39.4971177Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T02:04:39.4971374Z             auto tmp1 = in_ptr49[i0];
2022-11-23T02:04:39.4971496Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.4971617Z             in_out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.4971711Z         }
2022-11-23T02:04:39.4971804Z     }
2022-11-23T02:04:39.4971877Z }
2022-11-23T02:04:39.4972093Z ''')
2022-11-23T02:04:39.4972122Z 
2022-11-23T02:04:39.4972140Z 
2022-11-23T02:04:39.4972272Z async_compile.wait(globals())
2022-11-23T02:04:39.4972382Z del async_compile
2022-11-23T02:04:39.4972401Z 
2022-11-23T02:04:39.4972507Z def call(args):
2022-11-23T02:04:39.4972949Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1, arg20_1, arg21_1, arg22_1, arg23_1, arg24_1, arg25_1, arg26_1, arg27_1, arg28_1, arg29_1, arg30_1, arg31_1, arg32_1, arg33_1, arg34_1, arg35_1, arg36_1, arg37_1, arg38_1, arg39_1, arg40_1, arg41_1, arg42_1, arg43_1, arg44_1, arg45_1, arg46_1, arg47_1, arg48_1, arg49_1 = args
2022-11-23T02:04:39.4973064Z     args.clear()
2022-11-23T02:04:39.4973352Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4973479Z     buf1 = buf0; del buf0  # reuse
2022-11-23T02:04:39.4973585Z     buf2 = buf1; del buf1  # reuse
2022-11-23T02:04:39.4973765Z     buf3 = buf2; del buf2  # reuse
2022-11-23T02:04:39.4973897Z     buf4 = buf3; del buf3  # reuse
2022-11-23T02:04:39.4974016Z     buf5 = buf4; del buf4  # reuse
2022-11-23T02:04:39.4974135Z     buf6 = buf5; del buf5  # reuse
2022-11-23T02:04:39.4975722Z     kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg6_1.data_ptr()), c_void_p(arg7_1.data_ptr()), c_void_p(arg8_1.data_ptr()), c_void_p(arg9_1.data_ptr()), c_void_p(arg10_1.data_ptr()), c_void_p(arg11_1.data_ptr()), c_void_p(arg12_1.data_ptr()), c_void_p(arg13_1.data_ptr()), c_void_p(arg14_1.data_ptr()), c_void_p(arg15_1.data_ptr()), c_void_p(arg16_1.data_ptr()), c_void_p(arg17_1.data_ptr()), c_void_p(arg18_1.data_ptr()), c_void_p(arg19_1.data_ptr()), c_void_p(arg20_1.data_ptr()), c_void_p(arg21_1.data_ptr()), c_void_p(arg22_1.data_ptr()), c_void_p(arg23_1.data_ptr()), c_void_p(arg24_1.data_ptr()), c_void_p(arg25_1.data_ptr()), c_void_p(arg26_1.data_ptr()), c_void_p(arg27_1.data_ptr()), c_void_p(arg28_1.data_ptr()), c_void_p(arg29_1.data_ptr()), c_void_p(arg30_1.data_ptr()), c_void_p(arg31_1.data_ptr()), c_void_p(arg32_1.data_ptr()), c_void_p(arg33_1.data_ptr()), c_void_p(arg34_1.data_ptr()), c_void_p(arg35_1.data_ptr()), c_void_p(arg36_1.data_ptr()), c_void_p(arg37_1.data_ptr()), c_void_p(arg38_1.data_ptr()), c_void_p(arg39_1.data_ptr()), c_void_p(arg40_1.data_ptr()), c_void_p(arg41_1.data_ptr()), c_void_p(arg42_1.data_ptr()), c_void_p(arg43_1.data_ptr()), c_void_p(arg44_1.data_ptr()), c_void_p(arg45_1.data_ptr()), c_void_p(arg46_1.data_ptr()), c_void_p(arg47_1.data_ptr()), c_void_p(arg48_1.data_ptr()), c_void_p(arg49_1.data_ptr()))
2022-11-23T02:04:39.4975837Z     del arg0_1
2022-11-23T02:04:39.4975938Z     del arg10_1
2022-11-23T02:04:39.4976449Z     del arg11_1
2022-11-23T02:04:39.4976640Z     del arg12_1
2022-11-23T02:04:39.4976803Z     del arg13_1
2022-11-23T02:04:39.4976953Z     del arg14_1
2022-11-23T02:04:39.4977091Z     del arg15_1
2022-11-23T02:04:39.4977254Z     del arg16_1
2022-11-23T02:04:39.4977410Z     del arg17_1
2022-11-23T02:04:39.4977566Z     del arg18_1
2022-11-23T02:04:39.4977728Z     del arg19_1
2022-11-23T02:04:39.4977890Z     del arg1_1
2022-11-23T02:04:39.4978026Z     del arg20_1
2022-11-23T02:04:39.4978175Z     del arg21_1
2022-11-23T02:04:39.4978276Z     del arg22_1
2022-11-23T02:04:39.4978377Z     del arg23_1
2022-11-23T02:04:39.4978477Z     del arg24_1
2022-11-23T02:04:39.4978576Z     del arg25_1
2022-11-23T02:04:39.4978676Z     del arg26_1
2022-11-23T02:04:39.4978756Z     del arg27_1
2022-11-23T02:04:39.4978856Z     del arg28_1
2022-11-23T02:04:39.4979120Z     del arg29_1
2022-11-23T02:04:39.4979222Z     del arg2_1
2022-11-23T02:04:39.4979322Z     del arg30_1
2022-11-23T02:04:39.4979421Z     del arg31_1
2022-11-23T02:04:39.4979503Z     del arg32_1
2022-11-23T02:04:39.4979605Z     del arg33_1
2022-11-23T02:04:39.4979705Z     del arg34_1
2022-11-23T02:04:39.4979813Z     del arg35_1
2022-11-23T02:04:39.4979913Z     del arg36_1
2022-11-23T02:04:39.4980014Z     del arg37_1
2022-11-23T02:04:39.4980115Z     del arg38_1
2022-11-23T02:04:39.4980196Z     del arg39_1
2022-11-23T02:04:39.4980297Z     del arg3_1
2022-11-23T02:04:39.4980399Z     del arg40_1
2022-11-23T02:04:39.4980498Z     del arg41_1
2022-11-23T02:04:39.4980604Z     del arg42_1
2022-11-23T02:04:39.4980705Z     del arg43_1
2022-11-23T02:04:39.4980786Z     del arg44_1
2022-11-23T02:04:39.4980888Z     del arg45_1
2022-11-23T02:04:39.4980986Z     del arg46_1
2022-11-23T02:04:39.4981085Z     del arg47_1
2022-11-23T02:04:39.4981184Z     del arg48_1
2022-11-23T02:04:39.4981283Z     del arg49_1
2022-11-23T02:04:39.4981370Z     del arg4_1
2022-11-23T02:04:39.4981471Z     del arg5_1
2022-11-23T02:04:39.4981571Z     del arg6_1
2022-11-23T02:04:39.4981666Z     del arg7_1
2022-11-23T02:04:39.4981765Z     del arg8_1
2022-11-23T02:04:39.4981861Z     del arg9_1
2022-11-23T02:04:39.4981969Z     return (buf6, )
2022-11-23T02:04:39.4982076Z 
2022-11-23T02:04:39.4982096Z 
2022-11-23T02:04:39.4982201Z if __name__ == "__main__":
2022-11-23T02:04:39.4982372Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.4982549Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.4982887Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4983149Z     arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4983405Z     arg2_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4983659Z     arg3_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4983916Z     arg4_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4984154Z     arg5_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4984406Z     arg6_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4984667Z     arg7_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4984920Z     arg8_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4985171Z     arg9_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4985483Z     arg10_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4985750Z     arg11_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4986007Z     arg12_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4986244Z     arg13_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4986504Z     arg14_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4986755Z     arg15_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4987012Z     arg16_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4987267Z     arg17_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4987520Z     arg18_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4987779Z     arg19_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4988031Z     arg20_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4988266Z     arg21_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4988521Z     arg22_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4988774Z     arg23_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4989113Z     arg24_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4989365Z     arg25_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4989622Z     arg26_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4989876Z     arg27_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4990130Z     arg28_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4990367Z     arg29_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4990625Z     arg30_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4990878Z     arg31_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4991139Z     arg32_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4991403Z     arg33_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4991662Z     arg34_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4991915Z     arg35_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4992220Z     arg36_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4992463Z     arg37_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4992717Z     arg38_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4992972Z     arg39_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4993225Z     arg40_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4993481Z     arg41_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4993735Z     arg42_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4993991Z     arg43_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4994244Z     arg44_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4994481Z     arg45_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4994740Z     arg46_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4994992Z     arg47_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4995245Z     arg48_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4995502Z     arg49_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.4995978Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1, arg20_1, arg21_1, arg22_1, arg23_1, arg24_1, arg25_1, arg26_1, arg27_1, arg28_1, arg29_1, arg30_1, arg31_1, arg32_1, arg33_1, arg34_1, arg35_1, arg36_1, arg37_1, arg38_1, arg39_1, arg40_1, arg41_1, arg42_1, arg43_1, arg44_1, arg45_1, arg46_1, arg47_1, arg48_1, arg49_1]))
2022-11-23T02:04:39.4996488Z [2022-11-23 01:57:31,077] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5p/c5pfhw5czpmz4j5pebisrrozfxb7ar2rh4fom4biglyzsmmskgdq.py
2022-11-23T02:04:39.4996854Z [2022-11-23 01:57:31,077] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 252
2022-11-23T02:04:39.4996876Z 
2022-11-23T02:04:39.4997003Z --> 7
2022-11-23T02:04:39.4997112Z ok (3.728s)
2022-11-23T02:04:39.4997520Z   test_no_op_reduction_cpu (__main__.CpuTests) ... [2022-11-23 01:57:31,085] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.4997951Z [2022-11-23 01:57:31,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.4998320Z [2022-11-23 01:57:31,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.4998662Z [2022-11-23 01:57:31,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.4999047Z [2022-11-23 01:57:31,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.4999479Z [2022-11-23 01:57:31,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.4999952Z [2022-11-23 01:57:31,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5000393Z [2022-11-23 01:57:31,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5000897Z [2022-11-23 01:57:31,086] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f89790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3166> 
2022-11-23T02:04:39.5001041Z  3167           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5001218Z                2 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.5001423Z                4 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.5001555Z                6 CALL_METHOD              1
2022-11-23T02:04:39.5001693Z                8 LOAD_GLOBAL              1 (torch)
2022-11-23T02:04:39.5001831Z               10 LOAD_ATTR                2 (amax)
2022-11-23T02:04:39.5001964Z               12 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5002095Z               14 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5002186Z               16 BINARY_ADD
2022-11-23T02:04:39.5002315Z               18 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5002446Z               20 LOAD_CONST               3 (True)
2022-11-23T02:04:39.5002667Z               22 LOAD_CONST               4 (('keepdim',))
2022-11-23T02:04:39.5002803Z               24 CALL_FUNCTION_KW         3
2022-11-23T02:04:39.5002938Z               26 BUILD_TUPLE              2
2022-11-23T02:04:39.5003050Z               28 RETURN_VALUE
2022-11-23T02:04:39.5003129Z  
2022-11-23T02:04:39.5003171Z 
2022-11-23T02:04:39.5003583Z [2022-11-23 01:57:31,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3167
2022-11-23T02:04:39.5003873Z [2022-11-23 01:57:31,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.5004203Z [2022-11-23 01:57:31,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T02:04:39.5004586Z [2022-11-23 01:57:31,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.5005014Z [2022-11-23 01:57:31,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T02:04:39.5005353Z [2022-11-23 01:57:31,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.5005880Z [2022-11-23 01:57:31,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5006344Z [2022-11-23 01:57:31,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5006840Z [2022-11-23 01:57:31,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5007399Z [2022-11-23 01:57:31,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5007998Z [2022-11-23 01:57:31,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5008535Z [2022-11-23 01:57:31,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5009157Z [2022-11-23 01:57:31,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T02:04:39.5009819Z [2022-11-23 01:57:31,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T02:04:39.5010190Z [2022-11-23 01:57:31,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5010585Z [2022-11-23 01:57:31,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5011106Z [2022-11-23 01:57:31,093] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f89790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3166>
2022-11-23T02:04:39.5011435Z [2022-11-23 01:57:31,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5011755Z [2022-11-23 01:57:31,093] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5012108Z [2022-11-23 01:57:31,095] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5012454Z [2022-11-23 01:57:31,101] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5012718Z [2022-11-23 01:57:31,102] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5012892Z  __compiled_fn_260 <eval_with_key>.2037 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5013024Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5013217Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T02:04:39.5013456Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.5013792Z call_function, amax, <built-in method amax of type object at 0x7fa5855aec60>, (add, 1), {'keepdim': True}
2022-11-23T02:04:39.5013946Z output, output, output, ((sum_1, amax),), {}
2022-11-23T02:04:39.5013967Z 
2022-11-23T02:04:39.5014417Z [2022-11-23 01:57:31,102] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5014563Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5014695Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5014805Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5014944Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5015071Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5015199Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5015312Z              12 RETURN_VALUE
2022-11-23T02:04:39.5015332Z 
2022-11-23T02:04:39.5015426Z  
2022-11-23T02:04:39.5015869Z [2022-11-23 01:57:31,102] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5016008Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_260)
2022-11-23T02:04:39.5016667Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5016887Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5017306Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5017514Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.5017746Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.5017997Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5018187Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5018367Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.5018523Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5018653Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5018767Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.5018897Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.5019011Z              26 RETURN_VALUE
2022-11-23T02:04:39.5019031Z 
2022-11-23T02:04:39.5019125Z  
2022-11-23T02:04:39.5019394Z [2022-11-23 01:57:31,104] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5019499Z  - 
2022-11-23T02:04:39.5019667Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5019772Z             {
2022-11-23T02:04:39.5019974Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5020293Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.5020556Z                 'obj_weakref': None
2022-11-23T02:04:39.5020857Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5020956Z             }
2022-11-23T02:04:39.5021054Z             
2022-11-23T02:04:39.5021163Z  - 
2022-11-23T02:04:39.5021338Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5021436Z             {
2022-11-23T02:04:39.5021616Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5021770Z                 'code': None,
2022-11-23T02:04:39.5022058Z                 'obj_weakref': <weakref at 0x7fa51c2267a0; to 'Tensor' at 0x7fa51c224810>
2022-11-23T02:04:39.5022402Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5022504Z             }
2022-11-23T02:04:39.5022602Z             
2022-11-23T02:04:39.5022708Z  - 
2022-11-23T02:04:39.5022892Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5022970Z             {
2022-11-23T02:04:39.5023162Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5023396Z                 'code': ['___check_obj_id(model, 140347117701152)'],
2022-11-23T02:04:39.5023560Z                 'obj_weakref': None
2022-11-23T02:04:39.5023871Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5023971Z             }
2022-11-23T02:04:39.5024066Z             
2022-11-23T02:04:39.5024155Z  - 
2022-11-23T02:04:39.5024328Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5024425Z             {
2022-11-23T02:04:39.5024616Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5024911Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5025086Z                 'obj_weakref': None
2022-11-23T02:04:39.5025390Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5025468Z             }
2022-11-23T02:04:39.5025568Z             
2022-11-23T02:04:39.5025675Z  - 
2022-11-23T02:04:39.5025862Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.5025958Z             {
2022-11-23T02:04:39.5026128Z                 'guard_types': None,
2022-11-23T02:04:39.5026261Z                 'code': None,
2022-11-23T02:04:39.5026434Z                 'obj_weakref': None
2022-11-23T02:04:39.5026601Z                 'guarded_class': None
2022-11-23T02:04:39.5026700Z             }
2022-11-23T02:04:39.5026795Z             
2022-11-23T02:04:39.5027146Z [2022-11-23 01:57:31,114] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 253
2022-11-23T02:04:39.5027642Z [2022-11-23 01:57:33,755] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/if/ciftcrjqn2uxcjmmpiuwogkt2kypblzgpwno3fdy3lwbi327l5wk.py
2022-11-23T02:04:39.5028063Z [2022-11-23 01:57:33,755] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 253
2022-11-23T02:04:39.5028088Z 
2022-11-23T02:04:39.5028206Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5028309Z import torch
2022-11-23T02:04:39.5028413Z import random
2022-11-23T02:04:39.5028577Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5028749Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5028768Z 
2022-11-23T02:04:39.5028882Z aten = torch.ops.aten
2022-11-23T02:04:39.5029070Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5029204Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5029223Z 
2022-11-23T02:04:39.5029243Z 
2022-11-23T02:04:39.5029416Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5029691Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5029862Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5030006Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.5030191Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.5030291Z {
2022-11-23T02:04:39.5030433Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.5030508Z     {
2022-11-23T02:04:39.5030625Z         #pragma omp for 
2022-11-23T02:04:39.5030745Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:39.5030838Z         {
2022-11-23T02:04:39.5031065Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.5031251Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.5031374Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.5031504Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.5031614Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.5031712Z         }
2022-11-23T02:04:39.5031851Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.5031971Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T02:04:39.5032064Z         {
2022-11-23T02:04:39.5032185Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.5032311Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.5032439Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.5032556Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.5032673Z             out_ptr1[i0] = tmp2;
2022-11-23T02:04:39.5032768Z         }
2022-11-23T02:04:39.5032864Z     }
2022-11-23T02:04:39.5032954Z }
2022-11-23T02:04:39.5033060Z ''')
2022-11-23T02:04:39.5033081Z 
2022-11-23T02:04:39.5033100Z 
2022-11-23T02:04:39.5033229Z async_compile.wait(globals())
2022-11-23T02:04:39.5033337Z del async_compile
2022-11-23T02:04:39.5033356Z 
2022-11-23T02:04:39.5033463Z def call(args):
2022-11-23T02:04:39.5033568Z     arg0_1, = args
2022-11-23T02:04:39.5033676Z     args.clear()
2022-11-23T02:04:39.5033951Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5034230Z     buf1 = empty_strided((8, 1, 1), (1, 8, 8), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5034446Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.5034551Z     del arg0_1
2022-11-23T02:04:39.5034666Z     return (buf0, buf1, )
2022-11-23T02:04:39.5034686Z 
2022-11-23T02:04:39.5034704Z 
2022-11-23T02:04:39.5034815Z if __name__ == "__main__":
2022-11-23T02:04:39.5034976Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5035148Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5035432Z     arg0_1 = rand_strided((8, 1, 1), (1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5035589Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.5035608Z 
2022-11-23T02:04:39.5035691Z ok (2.677s)
2022-11-23T02:04:39.5036104Z   test_permute_cpu (__main__.CpuTests) ... [2022-11-23 01:57:33,761] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5036677Z [2022-11-23 01:57:33,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5036974Z [2022-11-23 01:57:33,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5037316Z [2022-11-23 01:57:33,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5037695Z [2022-11-23 01:57:33,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5038123Z [2022-11-23 01:57:33,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5038584Z [2022-11-23 01:57:33,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5039020Z [2022-11-23 01:57:33,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5039576Z [2022-11-23 01:57:33,763] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641131bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1251> 
2022-11-23T02:04:39.5039704Z  1253           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5039848Z                2 LOAD_METHOD              1 (permute)
2022-11-23T02:04:39.5039979Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5040113Z                6 LOAD_CONST               1 (1)
2022-11-23T02:04:39.5040224Z                8 BINARY_ADD
2022-11-23T02:04:39.5040351Z               10 BUILD_LIST               0
2022-11-23T02:04:39.5040493Z               12 LOAD_CONST               2 ((2, 1, 4, 0, 3))
2022-11-23T02:04:39.5040605Z               14 LIST_EXTEND              1
2022-11-23T02:04:39.5040734Z               16 CALL_METHOD              2
2022-11-23T02:04:39.5040862Z               18 LOAD_CONST               3 (2)
2022-11-23T02:04:39.5040969Z               20 BINARY_ADD
2022-11-23T02:04:39.5040994Z 
2022-11-23T02:04:39.5041134Z 1254          22 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5041275Z               24 LOAD_METHOD              1 (permute)
2022-11-23T02:04:39.5041403Z               26 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5041532Z               28 BUILD_LIST               0
2022-11-23T02:04:39.5041654Z               30 LOAD_CONST               2 ((2, 1, 4, 0, 3))
2022-11-23T02:04:39.5041778Z               32 LIST_EXTEND              1
2022-11-23T02:04:39.5041907Z               34 CALL_METHOD              2
2022-11-23T02:04:39.5042036Z               36 LOAD_CONST               3 (2)
2022-11-23T02:04:39.5042145Z               38 BINARY_ADD
2022-11-23T02:04:39.5042167Z 
2022-11-23T02:04:39.5042298Z 1252          40 BUILD_TUPLE              2
2022-11-23T02:04:39.5042413Z               42 RETURN_VALUE
2022-11-23T02:04:39.5042487Z  
2022-11-23T02:04:39.5042505Z 
2022-11-23T02:04:39.5042945Z [2022-11-23 01:57:33,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1253
2022-11-23T02:04:39.5043243Z [2022-11-23 01:57:33,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.5043738Z [2022-11-23 01:57:33,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5044175Z [2022-11-23 01:57:33,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method permute of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5044651Z [2022-11-23 01:57:33,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method permute of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5045253Z [2022-11-23 01:57:33,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method permute of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5045724Z [2022-11-23 01:57:33,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(<built-in method permute of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5046243Z [2022-11-23 01:57:33,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 1, 4, 0, 3) [TorchVariable(<built-in method permute of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.5046804Z [2022-11-23 01:57:33,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(<built-in method permute of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:39.5047316Z [2022-11-23 01:57:33,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method permute of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.5047687Z [2022-11-23 01:57:33,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:39.5048056Z [2022-11-23 01:57:33,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5048481Z [2022-11-23 01:57:33,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1254
2022-11-23T02:04:39.5048814Z [2022-11-23 01:57:33,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.5049348Z [2022-11-23 01:57:33,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5049828Z [2022-11-23 01:57:33,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5050339Z [2022-11-23 01:57:33,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5050896Z [2022-11-23 01:57:33,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 1, 4, 0, 3) [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.5051489Z [2022-11-23 01:57:33,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:39.5052043Z [2022-11-23 01:57:33,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.5052406Z [2022-11-23 01:57:33,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5052820Z [2022-11-23 01:57:33,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5053236Z [2022-11-23 01:57:33,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1252
2022-11-23T02:04:39.5053612Z [2022-11-23 01:57:33,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5053928Z [2022-11-23 01:57:33,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5054533Z [2022-11-23 01:57:33,775] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641131bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1251>
2022-11-23T02:04:39.5054877Z [2022-11-23 01:57:33,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5055194Z [2022-11-23 01:57:33,775] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5055538Z [2022-11-23 01:57:33,778] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5055877Z [2022-11-23 01:57:33,785] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5056623Z [2022-11-23 01:57:33,785] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5056943Z  __compiled_fn_261 <eval_with_key>.2043 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5057163Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5057573Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.5058146Z call_function, permute, <built-in method permute of type object at 0x7fa5855aec60>, (add, [2, 1, 4, 0, 3]), {}
2022-11-23T02:04:39.5058586Z call_function, add_1, <built-in function add>, (permute, 2), {}
2022-11-23T02:04:39.5058944Z call_function, permute_1, <built-in method permute of type object at 0x7fa5855aec60>, (ex_0_, [2, 1, 4, 0, 3]), {}
2022-11-23T02:04:39.5059194Z call_function, add_2, <built-in function add>, (permute_1, 2), {}
2022-11-23T02:04:39.5059345Z output, output, output, ((add_1, add_2),), {}
2022-11-23T02:04:39.5059367Z 
2022-11-23T02:04:39.5059801Z [2022-11-23 01:57:33,786] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5059938Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5060052Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5060190Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5060324Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5060450Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5060582Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5060696Z              12 RETURN_VALUE
2022-11-23T02:04:39.5060715Z 
2022-11-23T02:04:39.5060810Z  
2022-11-23T02:04:39.5061242Z [2022-11-23 01:57:33,786] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5061380Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_261)
2022-11-23T02:04:39.5061510Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5061643Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5061758Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5061885Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.5062039Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.5062184Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5062294Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5062407Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.5062555Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5062685Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5062798Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.5062931Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.5063038Z              26 RETURN_VALUE
2022-11-23T02:04:39.5063059Z 
2022-11-23T02:04:39.5063133Z  
2022-11-23T02:04:39.5063389Z [2022-11-23 01:57:33,787] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5063497Z  - 
2022-11-23T02:04:39.5063664Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5063762Z             {
2022-11-23T02:04:39.5063959Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5064300Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.5064453Z                 'obj_weakref': None
2022-11-23T02:04:39.5064759Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5064860Z             }
2022-11-23T02:04:39.5064957Z             
2022-11-23T02:04:39.5065061Z  - 
2022-11-23T02:04:39.5065239Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5065335Z             {
2022-11-23T02:04:39.5065517Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5065677Z                 'code': None,
2022-11-23T02:04:39.5065966Z                 'obj_weakref': <weakref at 0x7fa5042fd030; to 'Tensor' at 0x7fa51c3d6b10>
2022-11-23T02:04:39.5066308Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5066405Z             }
2022-11-23T02:04:39.5066499Z             
2022-11-23T02:04:39.5066611Z  - 
2022-11-23T02:04:39.5066776Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5066874Z             {
2022-11-23T02:04:39.5067063Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5067300Z                 'code': ['___check_obj_id(model, 140347117701152)'],
2022-11-23T02:04:39.5067519Z                 'obj_weakref': None
2022-11-23T02:04:39.5067839Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5067935Z             }
2022-11-23T02:04:39.5068012Z             
2022-11-23T02:04:39.5068117Z  - 
2022-11-23T02:04:39.5068288Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5068385Z             {
2022-11-23T02:04:39.5068577Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5068871Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5069040Z                 'obj_weakref': None
2022-11-23T02:04:39.5069347Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5069425Z             }
2022-11-23T02:04:39.5069519Z             
2022-11-23T02:04:39.5069624Z  - 
2022-11-23T02:04:39.5069812Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.5069913Z             {
2022-11-23T02:04:39.5070083Z                 'guard_types': None,
2022-11-23T02:04:39.5070216Z                 'code': None,
2022-11-23T02:04:39.5070381Z                 'obj_weakref': None
2022-11-23T02:04:39.5070550Z                 'guarded_class': None
2022-11-23T02:04:39.5070652Z             }
2022-11-23T02:04:39.5070754Z             
2022-11-23T02:04:39.5071107Z [2022-11-23 01:57:33,800] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 254
2022-11-23T02:04:39.5071605Z [2022-11-23 01:57:36,410] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yx/cyxhpnojza2gknmd5way62tcxraepp44vgh6scljjgkih5rk7liy.py
2022-11-23T02:04:39.5071968Z [2022-11-23 01:57:36,410] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 254
2022-11-23T02:04:39.5071989Z 
2022-11-23T02:04:39.5072107Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5072213Z import torch
2022-11-23T02:04:39.5072316Z import random
2022-11-23T02:04:39.5072487Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5072662Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5072681Z 
2022-11-23T02:04:39.5072797Z aten = torch.ops.aten
2022-11-23T02:04:39.5072987Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5073101Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5073138Z 
2022-11-23T02:04:39.5073157Z 
2022-11-23T02:04:39.5073331Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5073617Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5073787Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5073999Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.5074141Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.5074236Z {
2022-11-23T02:04:39.5074377Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.5074456Z     {
2022-11-23T02:04:39.5074571Z         #pragma omp for 
2022-11-23T02:04:39.5074688Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.5074785Z         {
2022-11-23T02:04:39.5075007Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.5075194Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.5075320Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.5075502Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:39.5075608Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.5075728Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T02:04:39.5075860Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.5075996Z             tmp5.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.5076092Z         }
2022-11-23T02:04:39.5076226Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.5076349Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T02:04:39.5076487Z         {
2022-11-23T02:04:39.5076617Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.5076760Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.5076882Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.5077025Z             auto tmp3 = static_cast<float>(2);
2022-11-23T02:04:39.5077150Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.5077255Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T02:04:39.5077374Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:39.5077488Z             out_ptr1[i0] = tmp5;
2022-11-23T02:04:39.5077582Z         }
2022-11-23T02:04:39.5077678Z     }
2022-11-23T02:04:39.5077773Z }
2022-11-23T02:04:39.5077905Z ''')
2022-11-23T02:04:39.5077924Z 
2022-11-23T02:04:39.5077947Z 
2022-11-23T02:04:39.5078058Z async_compile.wait(globals())
2022-11-23T02:04:39.5078167Z del async_compile
2022-11-23T02:04:39.5078186Z 
2022-11-23T02:04:39.5078293Z def call(args):
2022-11-23T02:04:39.5078402Z     arg0_1, = args
2022-11-23T02:04:39.5078510Z     args.clear()
2022-11-23T02:04:39.5078817Z     buf0 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5079111Z     buf1 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5079344Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.5079428Z     del arg0_1
2022-11-23T02:04:39.5079545Z     return (buf0, buf1, )
2022-11-23T02:04:39.5079564Z 
2022-11-23T02:04:39.5079584Z 
2022-11-23T02:04:39.5079698Z if __name__ == "__main__":
2022-11-23T02:04:39.5079863Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5080039Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5080342Z     arg0_1 = rand_strided((2, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5080499Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.5080518Z 
2022-11-23T02:04:39.5080622Z ok (2.655s)
2022-11-23T02:04:39.5081011Z   test_pow1_cpu (__main__.CpuTests) ... [2022-11-23 01:57:36,417] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5081441Z [2022-11-23 01:57:36,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5090196Z [2022-11-23 01:57:36,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5090686Z [2022-11-23 01:57:36,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5091083Z [2022-11-23 01:57:36,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5091693Z [2022-11-23 01:57:36,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5092150Z [2022-11-23 01:57:36,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5092599Z [2022-11-23 01:57:36,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5093114Z [2022-11-23 01:57:36,418] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9d2c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2510> 
2022-11-23T02:04:39.5093262Z  2511           0 LOAD_CLOSURE             0 (x)
2022-11-23T02:04:39.5093403Z                2 BUILD_TUPLE              1
2022-11-23T02:04:39.5093708Z                4 LOAD_CONST               1 (<code object <listcomp> at 0x7fa640f9d210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511>)
2022-11-23T02:04:39.5094046Z                6 LOAD_CONST               2 ('CommonTemplate.test_pow1.<locals>.fn.<locals>.<listcomp>')
2022-11-23T02:04:39.5094265Z                8 MAKE_FUNCTION            8 (closure)
2022-11-23T02:04:39.5094417Z               10 LOAD_GLOBAL              0 (range)
2022-11-23T02:04:39.5094596Z               12 LOAD_CONST               3 (-8)
2022-11-23T02:04:39.5094736Z               14 LOAD_CONST               4 (9)
2022-11-23T02:04:39.5094878Z               16 CALL_FUNCTION            2
2022-11-23T02:04:39.5094994Z               18 GET_ITER
2022-11-23T02:04:39.5095138Z               20 CALL_FUNCTION            1
2022-11-23T02:04:39.5095259Z               22 RETURN_VALUE
2022-11-23T02:04:39.5095364Z  
2022-11-23T02:04:39.5095385Z 
2022-11-23T02:04:39.5095797Z [2022-11-23 01:57:36,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2511
2022-11-23T02:04:39.5096827Z [2022-11-23 01:57:36,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CLOSURE x []
2022-11-23T02:04:39.5097463Z [2022-11-23 01:57:36,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [NewCellVariable()]
2022-11-23T02:04:39.5098398Z [2022-11-23 01:57:36,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fa640f9d210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511> [TupleVariable()]
2022-11-23T02:04:39.5098902Z [2022-11-23 01:57:36,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_pow1.<locals>.fn.<locals>.<listcomp> [TupleVariable(), ConstantVariable(code)]
2022-11-23T02:04:39.5099331Z [2022-11-23 01:57:36,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 8 [TupleVariable(), ConstantVariable(code), ConstantVariable(str)]
2022-11-23T02:04:39.5099711Z [2022-11-23 01:57:36,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [NestedUserFunctionVariable()]
2022-11-23T02:04:39.5100143Z [2022-11-23 01:57:36,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -8 [NestedUserFunctionVariable(), BuiltinVariable(range)]
2022-11-23T02:04:39.5100607Z [2022-11-23 01:57:36,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9 [NestedUserFunctionVariable(), BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T02:04:39.5101124Z [2022-11-23 01:57:36,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [NestedUserFunctionVariable(), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.5101528Z [2022-11-23 01:57:36,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), RangeVariable()]
2022-11-23T02:04:39.5101952Z [2022-11-23 01:57:36,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5102719Z [2022-11-23 01:57:36,422] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fa640f9d210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511> 
2022-11-23T02:04:39.5102866Z  2511           0 BUILD_LIST               0
2022-11-23T02:04:39.5103008Z                2 LOAD_FAST                0 (.0)
2022-11-23T02:04:39.5103151Z          >>    4 FOR_ITER                 8 (to 22)
2022-11-23T02:04:39.5103291Z                6 STORE_FAST               1 (e)
2022-11-23T02:04:39.5103434Z                8 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.5103576Z               10 LOAD_METHOD              1 (pow)
2022-11-23T02:04:39.5103715Z               12 LOAD_DEREF               0 (x)
2022-11-23T02:04:39.5103829Z               14 LOAD_FAST                1 (e)
2022-11-23T02:04:39.5103964Z               16 CALL_METHOD              2
2022-11-23T02:04:39.5104105Z               18 LIST_APPEND              2
2022-11-23T02:04:39.5104256Z               20 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T02:04:39.5104376Z          >>   22 RETURN_VALUE
2022-11-23T02:04:39.5104481Z  
2022-11-23T02:04:39.5104503Z 
2022-11-23T02:04:39.5104801Z [2022-11-23 01:57:36,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T02:04:39.5105182Z [2022-11-23 01:57:36,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T02:04:39.5105571Z [2022-11-23 01:57:36,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5105994Z [2022-11-23 01:57:36,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5106378Z [2022-11-23 01:57:36,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5106884Z [2022-11-23 01:57:36,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5107323Z [2022-11-23 01:57:36,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5107793Z [2022-11-23 01:57:36,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5108314Z [2022-11-23 01:57:36,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5108728Z [2022-11-23 01:57:36,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.5109109Z [2022-11-23 01:57:36,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5109487Z [2022-11-23 01:57:36,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5109887Z [2022-11-23 01:57:36,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5110275Z [2022-11-23 01:57:36,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5110775Z [2022-11-23 01:57:36,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5111205Z [2022-11-23 01:57:36,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5111675Z [2022-11-23 01:57:36,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5112262Z [2022-11-23 01:57:36,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5112679Z [2022-11-23 01:57:36,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.5113068Z [2022-11-23 01:57:36,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5113443Z [2022-11-23 01:57:36,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5113864Z [2022-11-23 01:57:36,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5114249Z [2022-11-23 01:57:36,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5114777Z [2022-11-23 01:57:36,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5115219Z [2022-11-23 01:57:36,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5115679Z [2022-11-23 01:57:36,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5116197Z [2022-11-23 01:57:36,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5116616Z [2022-11-23 01:57:36,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.5117008Z [2022-11-23 01:57:36,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5117390Z [2022-11-23 01:57:36,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5117813Z [2022-11-23 01:57:36,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5118199Z [2022-11-23 01:57:36,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5118698Z [2022-11-23 01:57:36,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5119127Z [2022-11-23 01:57:36,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5119598Z [2022-11-23 01:57:36,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5120096Z [2022-11-23 01:57:36,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5120518Z [2022-11-23 01:57:36,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.5120901Z [2022-11-23 01:57:36,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5121276Z [2022-11-23 01:57:36,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5121700Z [2022-11-23 01:57:36,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5122147Z [2022-11-23 01:57:36,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5122645Z [2022-11-23 01:57:36,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5123073Z [2022-11-23 01:57:36,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5123538Z [2022-11-23 01:57:36,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5124065Z [2022-11-23 01:57:36,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5124485Z [2022-11-23 01:57:36,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.5124890Z [2022-11-23 01:57:36,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5125268Z [2022-11-23 01:57:36,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5125688Z [2022-11-23 01:57:36,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5126073Z [2022-11-23 01:57:36,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5126567Z [2022-11-23 01:57:36,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5126997Z [2022-11-23 01:57:36,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5127465Z [2022-11-23 01:57:36,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5127980Z [2022-11-23 01:57:36,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5128396Z [2022-11-23 01:57:36,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.5128777Z [2022-11-23 01:57:36,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5129156Z [2022-11-23 01:57:36,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5129583Z [2022-11-23 01:57:36,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5129939Z [2022-11-23 01:57:36,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5130496Z [2022-11-23 01:57:36,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5130994Z [2022-11-23 01:57:36,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5131462Z [2022-11-23 01:57:36,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5132072Z [2022-11-23 01:57:36,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5132493Z [2022-11-23 01:57:36,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.5132879Z [2022-11-23 01:57:36,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5133260Z [2022-11-23 01:57:36,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5133683Z [2022-11-23 01:57:36,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5134067Z [2022-11-23 01:57:36,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5134629Z [2022-11-23 01:57:36,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5135052Z [2022-11-23 01:57:36,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5135521Z [2022-11-23 01:57:36,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5136529Z [2022-11-23 01:57:36,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5137327Z [2022-11-23 01:57:36,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.5138019Z [2022-11-23 01:57:36,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5138476Z [2022-11-23 01:57:36,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5138905Z [2022-11-23 01:57:36,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5139288Z [2022-11-23 01:57:36,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5139786Z [2022-11-23 01:57:36,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5140212Z [2022-11-23 01:57:36,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5140680Z [2022-11-23 01:57:36,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5141211Z [2022-11-23 01:57:36,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5141603Z [2022-11-23 01:57:36,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.5141987Z [2022-11-23 01:57:36,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5142358Z [2022-11-23 01:57:36,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5142966Z [2022-11-23 01:57:36,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5143354Z [2022-11-23 01:57:36,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5143851Z [2022-11-23 01:57:36,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5144281Z [2022-11-23 01:57:36,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5144730Z [2022-11-23 01:57:36,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5145256Z [2022-11-23 01:57:36,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5145678Z [2022-11-23 01:57:36,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.5146138Z [2022-11-23 01:57:36,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5146520Z [2022-11-23 01:57:36,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5146939Z [2022-11-23 01:57:36,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5147321Z [2022-11-23 01:57:36,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5147816Z [2022-11-23 01:57:36,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5148250Z [2022-11-23 01:57:36,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5148694Z [2022-11-23 01:57:36,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5149209Z [2022-11-23 01:57:36,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5149622Z [2022-11-23 01:57:36,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.5150000Z [2022-11-23 01:57:36,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5150379Z [2022-11-23 01:57:36,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5150802Z [2022-11-23 01:57:36,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5151184Z [2022-11-23 01:57:36,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5151673Z [2022-11-23 01:57:36,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5152096Z [2022-11-23 01:57:36,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5152558Z [2022-11-23 01:57:36,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5153145Z [2022-11-23 01:57:36,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5153562Z [2022-11-23 01:57:36,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.5153918Z [2022-11-23 01:57:36,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5154291Z [2022-11-23 01:57:36,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5154716Z [2022-11-23 01:57:36,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5155099Z [2022-11-23 01:57:36,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5155657Z [2022-11-23 01:57:36,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5156100Z [2022-11-23 01:57:36,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5156560Z [2022-11-23 01:57:36,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5157080Z [2022-11-23 01:57:36,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5157490Z [2022-11-23 01:57:36,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.5157876Z [2022-11-23 01:57:36,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5158252Z [2022-11-23 01:57:36,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5158651Z [2022-11-23 01:57:36,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5159036Z [2022-11-23 01:57:36,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5159529Z [2022-11-23 01:57:36,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5159957Z [2022-11-23 01:57:36,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5160425Z [2022-11-23 01:57:36,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5160949Z [2022-11-23 01:57:36,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5161371Z [2022-11-23 01:57:36,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.5161758Z [2022-11-23 01:57:36,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5162143Z [2022-11-23 01:57:36,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5162671Z [2022-11-23 01:57:36,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5163062Z [2022-11-23 01:57:36,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5163538Z [2022-11-23 01:57:36,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5163967Z [2022-11-23 01:57:36,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5164426Z [2022-11-23 01:57:36,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5164943Z [2022-11-23 01:57:36,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5165360Z [2022-11-23 01:57:36,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.5165816Z [2022-11-23 01:57:36,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5166205Z [2022-11-23 01:57:36,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5166624Z [2022-11-23 01:57:36,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5167009Z [2022-11-23 01:57:36,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5167515Z [2022-11-23 01:57:36,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5167955Z [2022-11-23 01:57:36,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5168430Z [2022-11-23 01:57:36,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5168919Z [2022-11-23 01:57:36,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5169335Z [2022-11-23 01:57:36,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.5169714Z [2022-11-23 01:57:36,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5170099Z [2022-11-23 01:57:36,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5170539Z [2022-11-23 01:57:36,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5170932Z [2022-11-23 01:57:36,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5171430Z [2022-11-23 01:57:36,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5171854Z [2022-11-23 01:57:36,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5172318Z [2022-11-23 01:57:36,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5172914Z [2022-11-23 01:57:36,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5173329Z [2022-11-23 01:57:36,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.5173684Z [2022-11-23 01:57:36,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5174062Z [2022-11-23 01:57:36,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.5174397Z [2022-11-23 01:57:36,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T02:04:39.5174922Z [2022-11-23 01:57:36,608] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fa640f9d210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511>
2022-11-23T02:04:39.5175258Z [2022-11-23 01:57:36,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T02:04:39.5175816Z [2022-11-23 01:57:36,608] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9d2c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2510>
2022-11-23T02:04:39.5176683Z [2022-11-23 01:57:36,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T02:04:39.5177264Z [2022-11-23 01:57:36,609] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5177871Z [2022-11-23 01:57:36,613] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5178230Z [2022-11-23 01:57:36,631] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5178478Z [2022-11-23 01:57:36,631] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5178672Z  __compiled_fn_262 <eval_with_key>.2049 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5178810Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5179032Z call_function, pow_1, aten.pow, (ex_0_, -8), {}
2022-11-23T02:04:39.5179248Z call_function, pow_2, aten.pow, (ex_0_, -7), {}
2022-11-23T02:04:39.5179460Z call_function, pow_3, aten.pow, (ex_0_, -6), {}
2022-11-23T02:04:39.5179672Z call_function, pow_4, aten.pow, (ex_0_, -5), {}
2022-11-23T02:04:39.5179883Z call_function, pow_5, aten.pow, (ex_0_, -4), {}
2022-11-23T02:04:39.5180071Z call_function, pow_6, aten.pow, (ex_0_, -3), {}
2022-11-23T02:04:39.5180284Z call_function, pow_7, aten.pow, (ex_0_, -2), {}
2022-11-23T02:04:39.5180492Z call_function, pow_8, aten.pow, (ex_0_, -1), {}
2022-11-23T02:04:39.5180645Z call_function, pow_9, aten.pow, (ex_0_, 0), {}
2022-11-23T02:04:39.5180791Z call_function, pow_10, aten.pow, (ex_0_, 1), {}
2022-11-23T02:04:39.5180949Z call_function, pow_11, aten.pow, (ex_0_, 2), {}
2022-11-23T02:04:39.5181098Z call_function, pow_12, aten.pow, (ex_0_, 3), {}
2022-11-23T02:04:39.5181227Z call_function, pow_13, aten.pow, (ex_0_, 4), {}
2022-11-23T02:04:39.5181382Z call_function, pow_14, aten.pow, (ex_0_, 5), {}
2022-11-23T02:04:39.5181531Z call_function, pow_15, aten.pow, (ex_0_, 6), {}
2022-11-23T02:04:39.5181681Z call_function, pow_16, aten.pow, (ex_0_, 7), {}
2022-11-23T02:04:39.5181828Z call_function, pow_17, aten.pow, (ex_0_, 8), {}
2022-11-23T02:04:39.5182104Z output, output, output, ((pow_1, pow_2, pow_3, pow_4, pow_5, pow_6, pow_7, pow_8, pow_9, pow_10, pow_11, pow_12, pow_13, pow_14, pow_15, pow_16, pow_17),), {}
2022-11-23T02:04:39.5182138Z 
2022-11-23T02:04:39.5182589Z [2022-11-23 01:57:36,632] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5182729Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5183010Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5183141Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5183280Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5183414Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5183549Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5183669Z              12 RETURN_VALUE
2022-11-23T02:04:39.5183689Z 
2022-11-23T02:04:39.5183790Z  
2022-11-23T02:04:39.5184241Z [2022-11-23 01:57:36,633] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5184382Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_262)
2022-11-23T02:04:39.5184516Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5184652Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5184775Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5184914Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.5185072Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.5185220Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5185403Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5185582Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.5185736Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5185870Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5185987Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.5186139Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5186277Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.5186371Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.5186520Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5186658Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:39.5186779Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.5186926Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5187057Z              38 LOAD_CONST               5 (4)
2022-11-23T02:04:39.5187172Z              40 BINARY_SUBSCR
2022-11-23T02:04:39.5187301Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5187433Z              44 LOAD_CONST               6 (5)
2022-11-23T02:04:39.5187548Z              46 BINARY_SUBSCR
2022-11-23T02:04:39.5187696Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5187829Z              50 LOAD_CONST               7 (6)
2022-11-23T02:04:39.5187947Z              52 BINARY_SUBSCR
2022-11-23T02:04:39.5188093Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5188223Z              56 LOAD_CONST               8 (7)
2022-11-23T02:04:39.5188318Z              58 BINARY_SUBSCR
2022-11-23T02:04:39.5188468Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5188606Z              62 LOAD_CONST               9 (8)
2022-11-23T02:04:39.5188728Z              64 BINARY_SUBSCR
2022-11-23T02:04:39.5188875Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5189004Z              68 LOAD_CONST              10 (9)
2022-11-23T02:04:39.5189124Z              70 BINARY_SUBSCR
2022-11-23T02:04:39.5189252Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5189386Z              74 LOAD_CONST              11 (10)
2022-11-23T02:04:39.5189502Z              76 BINARY_SUBSCR
2022-11-23T02:04:39.5189651Z              78 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5189786Z              80 LOAD_CONST              12 (11)
2022-11-23T02:04:39.5189900Z              82 BINARY_SUBSCR
2022-11-23T02:04:39.5190048Z              84 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5190159Z              86 LOAD_CONST              13 (12)
2022-11-23T02:04:39.5190272Z              88 BINARY_SUBSCR
2022-11-23T02:04:39.5190485Z              90 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5190623Z              92 LOAD_CONST              14 (13)
2022-11-23T02:04:39.5190742Z              94 BINARY_SUBSCR
2022-11-23T02:04:39.5190897Z              96 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5191031Z              98 LOAD_CONST              15 (14)
2022-11-23T02:04:39.5191123Z             100 BINARY_SUBSCR
2022-11-23T02:04:39.5191272Z             102 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5191403Z             104 LOAD_CONST              16 (15)
2022-11-23T02:04:39.5191517Z             106 BINARY_SUBSCR
2022-11-23T02:04:39.5191664Z             108 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5191796Z             110 LOAD_CONST              17 (16)
2022-11-23T02:04:39.5191910Z             112 BINARY_SUBSCR
2022-11-23T02:04:39.5192018Z             114 BUILD_LIST              17
2022-11-23T02:04:39.5192140Z             116 RETURN_VALUE
2022-11-23T02:04:39.5192163Z 
2022-11-23T02:04:39.5192261Z  
2022-11-23T02:04:39.5192541Z [2022-11-23 01:57:36,634] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5192654Z  - 
2022-11-23T02:04:39.5192827Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5193049Z             {
2022-11-23T02:04:39.5193236Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5193500Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.5193672Z                 'obj_weakref': None
2022-11-23T02:04:39.5193988Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5194092Z             }
2022-11-23T02:04:39.5194193Z             
2022-11-23T02:04:39.5194305Z  - 
2022-11-23T02:04:39.5194459Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5194561Z             {
2022-11-23T02:04:39.5194762Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5194925Z                 'code': None,
2022-11-23T02:04:39.5195218Z                 'obj_weakref': <weakref at 0x7fa51c275170; to 'Tensor' at 0x7fa51c203470>
2022-11-23T02:04:39.5195561Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5195670Z             }
2022-11-23T02:04:39.5195749Z             
2022-11-23T02:04:39.5195863Z  - 
2022-11-23T02:04:39.5196054Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5196151Z             {
2022-11-23T02:04:39.5196345Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5196591Z                 'code': ['___check_obj_id(model, 140347117701152)'],
2022-11-23T02:04:39.5196768Z                 'obj_weakref': None
2022-11-23T02:04:39.5197065Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5197170Z             }
2022-11-23T02:04:39.5197266Z             
2022-11-23T02:04:39.5197373Z  - 
2022-11-23T02:04:39.5197558Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5197658Z             {
2022-11-23T02:04:39.5197855Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5198129Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5198303Z                 'obj_weakref': None
2022-11-23T02:04:39.5198613Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5198716Z             }
2022-11-23T02:04:39.5198817Z             
2022-11-23T02:04:39.5198927Z  - 
2022-11-23T02:04:39.5199115Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.5199192Z             {
2022-11-23T02:04:39.5199364Z                 'guard_types': None,
2022-11-23T02:04:39.5199518Z                 'code': None,
2022-11-23T02:04:39.5199687Z                 'obj_weakref': None
2022-11-23T02:04:39.5199865Z                 'guarded_class': None
2022-11-23T02:04:39.5199966Z             }
2022-11-23T02:04:39.5200165Z             
2022-11-23T02:04:39.5200255Z  - 
2022-11-23T02:04:39.5200446Z             global 'range' BUILTIN_MATCH
2022-11-23T02:04:39.5200548Z             {
2022-11-23T02:04:39.5200720Z                 'guard_types': None,
2022-11-23T02:04:39.5200880Z                 'code': None,
2022-11-23T02:04:39.5201051Z                 'obj_weakref': None
2022-11-23T02:04:39.5201228Z                 'guarded_class': None
2022-11-23T02:04:39.5201305Z             }
2022-11-23T02:04:39.5201404Z             
2022-11-23T02:04:39.5201763Z [2022-11-23 01:57:36,662] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 255
2022-11-23T02:04:39.5202267Z [2022-11-23 01:57:39,383] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cl/ccleklagomvmmfocqw2spomxhsmrjl5pehadluzu5zjznvc5vwri.py
2022-11-23T02:04:39.5202630Z [2022-11-23 01:57:39,384] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 255
2022-11-23T02:04:39.5202655Z 
2022-11-23T02:04:39.5202800Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5202913Z import torch
2022-11-23T02:04:39.5202999Z import random
2022-11-23T02:04:39.5203167Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5203388Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5203409Z 
2022-11-23T02:04:39.5203533Z aten = torch.ops.aten
2022-11-23T02:04:39.5203725Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5203866Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5203888Z 
2022-11-23T02:04:39.5203906Z 
2022-11-23T02:04:39.5204102Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5204392Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5204565Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5204692Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.5204834Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.5204979Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:39.5205121Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:39.5205264Z                        float* __restrict__ out_ptr4,
2022-11-23T02:04:39.5205410Z                        float* __restrict__ out_ptr5,
2022-11-23T02:04:39.5205547Z                        float* __restrict__ out_ptr6,
2022-11-23T02:04:39.5205662Z                        float* __restrict__ out_ptr7,
2022-11-23T02:04:39.5205803Z                        float* __restrict__ out_ptr8,
2022-11-23T02:04:39.5206020Z                        float* __restrict__ out_ptr9,
2022-11-23T02:04:39.5206170Z                        float* __restrict__ out_ptr10,
2022-11-23T02:04:39.5206317Z                        float* __restrict__ out_ptr11,
2022-11-23T02:04:39.5206461Z                        float* __restrict__ out_ptr12,
2022-11-23T02:04:39.5206605Z                        float* __restrict__ out_ptr13,
2022-11-23T02:04:39.5206729Z                        float* __restrict__ out_ptr14,
2022-11-23T02:04:39.5206874Z                        float* __restrict__ out_ptr15)
2022-11-23T02:04:39.5206976Z {
2022-11-23T02:04:39.5207128Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.5207225Z     {
2022-11-23T02:04:39.5207359Z         #pragma omp for 
2022-11-23T02:04:39.5207488Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.5207565Z         {
2022-11-23T02:04:39.5207798Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.5207947Z             auto tmp1 = tmp0.reciprocal();
2022-11-23T02:04:39.5208083Z             auto tmp2 = tmp1 * tmp1;
2022-11-23T02:04:39.5208208Z             auto tmp3 = tmp2 * tmp2;
2022-11-23T02:04:39.5208328Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T02:04:39.5208459Z             auto tmp5 = tmp2 * tmp1;
2022-11-23T02:04:39.5208560Z             auto tmp6 = tmp5 * tmp5;
2022-11-23T02:04:39.5208688Z             auto tmp7 = tmp6 * tmp1;
2022-11-23T02:04:39.5208878Z             auto tmp8 = tmp3 * tmp1;
2022-11-23T02:04:39.5209070Z             auto tmp9 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.5209197Z             auto tmp10 = tmp0 * tmp0;
2022-11-23T02:04:39.5209337Z             auto tmp11 = tmp10 * tmp0;
2022-11-23T02:04:39.5209467Z             auto tmp12 = tmp10 * tmp10;
2022-11-23T02:04:39.5209573Z             auto tmp13 = tmp12 * tmp0;
2022-11-23T02:04:39.5209706Z             auto tmp14 = tmp11 * tmp11;
2022-11-23T02:04:39.5209828Z             auto tmp15 = tmp14 * tmp0;
2022-11-23T02:04:39.5209961Z             auto tmp16 = tmp12 * tmp12;
2022-11-23T02:04:39.5210099Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.5210237Z             tmp7.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.5210373Z             tmp6.store(out_ptr2 + 8*i0);
2022-11-23T02:04:39.5210484Z             tmp8.store(out_ptr3 + 8*i0);
2022-11-23T02:04:39.5210618Z             tmp3.store(out_ptr4 + 8*i0);
2022-11-23T02:04:39.5210755Z             tmp5.store(out_ptr5 + 8*i0);
2022-11-23T02:04:39.5210886Z             tmp2.store(out_ptr6 + 8*i0);
2022-11-23T02:04:39.5211021Z             tmp1.store(out_ptr7 + 8*i0);
2022-11-23T02:04:39.5211152Z             tmp9.store(out_ptr8 + 8*i0);
2022-11-23T02:04:39.5211331Z             tmp10.store(out_ptr9 + 8*i0);
2022-11-23T02:04:39.5211454Z             tmp11.store(out_ptr10 + 8*i0);
2022-11-23T02:04:39.5211593Z             tmp12.store(out_ptr11 + 8*i0);
2022-11-23T02:04:39.5211729Z             tmp13.store(out_ptr12 + 8*i0);
2022-11-23T02:04:39.5211863Z             tmp14.store(out_ptr13 + 8*i0);
2022-11-23T02:04:39.5211997Z             tmp15.store(out_ptr14 + 8*i0);
2022-11-23T02:04:39.5212134Z             tmp16.store(out_ptr15 + 8*i0);
2022-11-23T02:04:39.5212235Z         }
2022-11-23T02:04:39.5212353Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.5212483Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T02:04:39.5212581Z         {
2022-11-23T02:04:39.5212705Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.5212835Z             auto tmp1 = 1 / tmp0;
2022-11-23T02:04:39.5212966Z             auto tmp2 = tmp1 * tmp1;
2022-11-23T02:04:39.5213090Z             auto tmp3 = tmp2 * tmp2;
2022-11-23T02:04:39.5213192Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T02:04:39.5213319Z             auto tmp5 = tmp2 * tmp1;
2022-11-23T02:04:39.5213439Z             auto tmp6 = tmp5 * tmp5;
2022-11-23T02:04:39.5213565Z             auto tmp7 = tmp6 * tmp1;
2022-11-23T02:04:39.5213690Z             auto tmp8 = tmp3 * tmp1;
2022-11-23T02:04:39.5213838Z             auto tmp9 = static_cast<float>(1);
2022-11-23T02:04:39.5213965Z             auto tmp10 = tmp0 * tmp0;
2022-11-23T02:04:39.5214070Z             auto tmp11 = tmp10 * tmp0;
2022-11-23T02:04:39.5214198Z             auto tmp12 = tmp10 * tmp10;
2022-11-23T02:04:39.5214326Z             auto tmp13 = tmp12 * tmp0;
2022-11-23T02:04:39.5214458Z             auto tmp14 = tmp11 * tmp11;
2022-11-23T02:04:39.5214583Z             auto tmp15 = tmp14 * tmp0;
2022-11-23T02:04:39.5214717Z             auto tmp16 = tmp12 * tmp12;
2022-11-23T02:04:39.5214838Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:39.5214938Z             out_ptr1[i0] = tmp7;
2022-11-23T02:04:39.5215062Z             out_ptr2[i0] = tmp6;
2022-11-23T02:04:39.5215184Z             out_ptr3[i0] = tmp8;
2022-11-23T02:04:39.5215303Z             out_ptr4[i0] = tmp3;
2022-11-23T02:04:39.5215421Z             out_ptr5[i0] = tmp5;
2022-11-23T02:04:39.5215538Z             out_ptr6[i0] = tmp2;
2022-11-23T02:04:39.5215657Z             out_ptr7[i0] = tmp1;
2022-11-23T02:04:39.5215754Z             out_ptr8[i0] = tmp9;
2022-11-23T02:04:39.5215875Z             out_ptr9[i0] = tmp10;
2022-11-23T02:04:39.5215999Z             out_ptr10[i0] = tmp11;
2022-11-23T02:04:39.5216553Z             out_ptr11[i0] = tmp12;
2022-11-23T02:04:39.5216754Z             out_ptr12[i0] = tmp13;
2022-11-23T02:04:39.5216944Z             out_ptr13[i0] = tmp14;
2022-11-23T02:04:39.5217132Z             out_ptr14[i0] = tmp15;
2022-11-23T02:04:39.5217477Z             out_ptr15[i0] = tmp16;
2022-11-23T02:04:39.5217636Z         }
2022-11-23T02:04:39.5217796Z     }
2022-11-23T02:04:39.5217952Z }
2022-11-23T02:04:39.5218186Z ''')
2022-11-23T02:04:39.5218213Z 
2022-11-23T02:04:39.5218240Z 
2022-11-23T02:04:39.5218390Z async_compile.wait(globals())
2022-11-23T02:04:39.5218504Z del async_compile
2022-11-23T02:04:39.5218523Z 
2022-11-23T02:04:39.5218610Z def call(args):
2022-11-23T02:04:39.5218725Z     arg0_1, = args
2022-11-23T02:04:39.5218835Z     args.clear()
2022-11-23T02:04:39.5219121Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5219392Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5219658Z     buf2 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5219930Z     buf3 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5220174Z     buf4 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5220448Z     buf5 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5220714Z     buf6 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5221058Z     buf7 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5221334Z     buf8 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5221597Z     buf9 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5221872Z     buf10 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5222142Z     buf11 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5222412Z     buf12 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5222655Z     buf13 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5222923Z     buf14 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5223190Z     buf15 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5223840Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf11.data_ptr()), c_void_p(buf12.data_ptr()), c_void_p(buf13.data_ptr()), c_void_p(buf14.data_ptr()), c_void_p(buf15.data_ptr()))
2022-11-23T02:04:39.5224079Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, arg0_1, buf9, buf10, buf11, buf12, buf13, buf14, buf15, )
2022-11-23T02:04:39.5224098Z 
2022-11-23T02:04:39.5224118Z 
2022-11-23T02:04:39.5224237Z if __name__ == "__main__":
2022-11-23T02:04:39.5224410Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5224587Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5224859Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5225022Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.5225041Z 
2022-11-23T02:04:39.5225125Z ok (2.976s)
2022-11-23T02:04:39.5225532Z   test_pow2_cpu (__main__.CpuTests) ... [2022-11-23 01:57:39,393] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5225967Z [2022-11-23 01:57:39,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5226269Z [2022-11-23 01:57:39,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5226613Z [2022-11-23 01:57:39,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5227048Z [2022-11-23 01:57:39,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5227481Z [2022-11-23 01:57:39,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5227955Z [2022-11-23 01:57:39,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5228393Z [2022-11-23 01:57:39,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5228895Z [2022-11-23 01:57:39,394] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9d420, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2519> 
2022-11-23T02:04:39.5229080Z  2520           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.5229227Z                2 LOAD_METHOD              1 (pow)
2022-11-23T02:04:39.5229366Z                4 LOAD_CONST               1 (1000)
2022-11-23T02:04:39.5229502Z                6 LOAD_FAST                0 (x)
2022-11-23T02:04:39.5229636Z                8 CALL_METHOD              2
2022-11-23T02:04:39.5229824Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.5229970Z               12 LOAD_METHOD              1 (pow)
2022-11-23T02:04:39.5230082Z               14 LOAD_FAST                0 (x)
2022-11-23T02:04:39.5230220Z               16 LOAD_CONST               1 (1000)
2022-11-23T02:04:39.5230352Z               18 CALL_METHOD              2
2022-11-23T02:04:39.5230489Z               20 BUILD_TUPLE              2
2022-11-23T02:04:39.5230608Z               22 RETURN_VALUE
2022-11-23T02:04:39.5230705Z  
2022-11-23T02:04:39.5230725Z 
2022-11-23T02:04:39.5231157Z [2022-11-23 01:57:39,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2520
2022-11-23T02:04:39.5231465Z [2022-11-23 01:57:39,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.5231857Z [2022-11-23 01:57:39,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5232212Z [2022-11-23 01:57:39,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1000 [TorchVariable(aten.pow)]
2022-11-23T02:04:39.5232602Z [2022-11-23 01:57:39,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.pow), ConstantVariable(int)]
2022-11-23T02:04:39.5233035Z [2022-11-23 01:57:39,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.pow), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.5233372Z [2022-11-23 01:57:39,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.5233818Z [2022-11-23 01:57:39,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5234198Z [2022-11-23 01:57:39,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.pow)]
2022-11-23T02:04:39.5234615Z [2022-11-23 01:57:39,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1000 [TensorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T02:04:39.5235080Z [2022-11-23 01:57:39,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5235447Z [2022-11-23 01:57:39,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5235783Z [2022-11-23 01:57:39,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5236268Z [2022-11-23 01:57:39,415] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9d420, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2519>
2022-11-23T02:04:39.5236669Z [2022-11-23 01:57:39,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5237001Z [2022-11-23 01:57:39,415] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5237349Z [2022-11-23 01:57:39,417] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5237694Z [2022-11-23 01:57:39,423] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5237961Z [2022-11-23 01:57:39,423] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5238153Z  __compiled_fn_263 <eval_with_key>.2055 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5238291Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5238428Z call_function, pow_1, aten.pow, (1000, ex_0_), {}
2022-11-23T02:04:39.5238592Z call_function, pow_2, aten.pow, (ex_0_, 1000), {}
2022-11-23T02:04:39.5238752Z output, output, output, ((pow_1, pow_2),), {}
2022-11-23T02:04:39.5238772Z 
2022-11-23T02:04:39.5239269Z [2022-11-23 01:57:39,424] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5239419Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5239557Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5239689Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5239831Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5239938Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5240076Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5240192Z              12 RETURN_VALUE
2022-11-23T02:04:39.5240212Z 
2022-11-23T02:04:39.5240307Z  
2022-11-23T02:04:39.5240746Z [2022-11-23 01:57:39,424] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5240913Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_263)
2022-11-23T02:04:39.5241050Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5241194Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5241289Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5241422Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.5241571Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.5241719Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5241854Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5241973Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.5242125Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5242234Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5242351Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.5242492Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.5242606Z              26 RETURN_VALUE
2022-11-23T02:04:39.5242625Z 
2022-11-23T02:04:39.5242722Z  
2022-11-23T02:04:39.5242998Z [2022-11-23 01:57:39,425] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5243114Z  - 
2022-11-23T02:04:39.5243268Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5243373Z             {
2022-11-23T02:04:39.5243580Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5243844Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.5244017Z                 'obj_weakref': None
2022-11-23T02:04:39.5244338Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5244440Z             }
2022-11-23T02:04:39.5244542Z             
2022-11-23T02:04:39.5244634Z  - 
2022-11-23T02:04:39.5244816Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5244990Z             {
2022-11-23T02:04:39.5245205Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5245369Z                 'code': None,
2022-11-23T02:04:39.5245672Z                 'obj_weakref': <weakref at 0x7fa51c423510; to 'Tensor' at 0x7fa51c274f90>
2022-11-23T02:04:39.5246024Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5246102Z             }
2022-11-23T02:04:39.5246203Z             
2022-11-23T02:04:39.5246320Z  - 
2022-11-23T02:04:39.5246515Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5246613Z             {
2022-11-23T02:04:39.5246806Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5247023Z                 'code': ['___check_obj_id(model, 140347117701152)'],
2022-11-23T02:04:39.5247203Z                 'obj_weakref': None
2022-11-23T02:04:39.5247523Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5247626Z             }
2022-11-23T02:04:39.5247724Z             
2022-11-23T02:04:39.5247832Z  - 
2022-11-23T02:04:39.5248012Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5248089Z             {
2022-11-23T02:04:39.5248335Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5248645Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5248821Z                 'obj_weakref': None
2022-11-23T02:04:39.5249128Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5249229Z             }
2022-11-23T02:04:39.5249332Z             
2022-11-23T02:04:39.5249422Z  - 
2022-11-23T02:04:39.5249609Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.5249709Z             {
2022-11-23T02:04:39.5249884Z                 'guard_types': None,
2022-11-23T02:04:39.5250040Z                 'code': None,
2022-11-23T02:04:39.5250209Z                 'obj_weakref': None
2022-11-23T02:04:39.5250395Z                 'guarded_class': None
2022-11-23T02:04:39.5250471Z             }
2022-11-23T02:04:39.5250571Z             
2022-11-23T02:04:39.5250931Z [2022-11-23 01:57:39,434] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 256
2022-11-23T02:04:39.5251425Z [2022-11-23 01:57:42,012] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/o7/co7dme75atayjmrbqrt2u6bcxunonarmg3fojgolq3j44juwfvpz.py
2022-11-23T02:04:39.5251788Z [2022-11-23 01:57:42,012] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 256
2022-11-23T02:04:39.5251809Z 
2022-11-23T02:04:39.5251952Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5252059Z import torch
2022-11-23T02:04:39.5252170Z import random
2022-11-23T02:04:39.5252316Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5252493Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5252512Z 
2022-11-23T02:04:39.5252639Z aten = torch.ops.aten
2022-11-23T02:04:39.5252835Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5252973Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5252993Z 
2022-11-23T02:04:39.5253011Z 
2022-11-23T02:04:39.5253216Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5253502Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5253677Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5253802Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.5253944Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.5254038Z {
2022-11-23T02:04:39.5254184Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.5254283Z     {
2022-11-23T02:04:39.5254404Z         #pragma omp for 
2022-11-23T02:04:39.5254527Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.5254604Z         {
2022-11-23T02:04:39.5254917Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.5255114Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(1000));
2022-11-23T02:04:39.5255259Z             auto tmp2 = tmp0.pow(tmp1);
2022-11-23T02:04:39.5255397Z             auto tmp3 = tmp1.pow(tmp0);
2022-11-23T02:04:39.5255535Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.5255671Z             tmp3.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.5255748Z         }
2022-11-23T02:04:39.5255896Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.5256496Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T02:04:39.5256702Z         {
2022-11-23T02:04:39.5256910Z             auto tmp1 = in_ptr0[i0];
2022-11-23T02:04:39.5257157Z             auto tmp0 = static_cast<float>(1000);
2022-11-23T02:04:39.5257406Z             auto tmp2 = std::pow(tmp0, tmp1);
2022-11-23T02:04:39.5257613Z             auto tmp3 = std::pow(tmp1, tmp0);
2022-11-23T02:04:39.5257817Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.5258020Z             out_ptr1[i0] = tmp3;
2022-11-23T02:04:39.5258176Z         }
2022-11-23T02:04:39.5258305Z     }
2022-11-23T02:04:39.5258403Z }
2022-11-23T02:04:39.5258554Z ''')
2022-11-23T02:04:39.5258573Z 
2022-11-23T02:04:39.5258593Z 
2022-11-23T02:04:39.5258856Z async_compile.wait(globals())
2022-11-23T02:04:39.5258984Z del async_compile
2022-11-23T02:04:39.5259003Z 
2022-11-23T02:04:39.5259113Z def call(args):
2022-11-23T02:04:39.5259224Z     arg0_1, = args
2022-11-23T02:04:39.5259335Z     args.clear()
2022-11-23T02:04:39.5259621Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5259893Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5260130Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.5260215Z     del arg0_1
2022-11-23T02:04:39.5260334Z     return (buf0, buf1, )
2022-11-23T02:04:39.5260353Z 
2022-11-23T02:04:39.5260377Z 
2022-11-23T02:04:39.5260499Z if __name__ == "__main__":
2022-11-23T02:04:39.5260664Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5260842Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5261124Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5261277Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.5261297Z 
2022-11-23T02:04:39.5261402Z ok (2.626s)
2022-11-23T02:04:39.5261783Z   test_pow3_cpu (__main__.CpuTests) ... [2022-11-23 01:57:42,019] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:39.5262209Z [2022-11-23 01:57:42,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2535
2022-11-23T02:04:39.5262515Z [2022-11-23 01:57:42,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.5263009Z [2022-11-23 01:57:42,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5263457Z [2022-11-23 01:57:42,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.123 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5263950Z [2022-11-23 01:57:42,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(float)]
2022-11-23T02:04:39.5264535Z [2022-11-23 01:57:42,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(float), UserDefinedObjectVariable(CpuTests)]
2022-11-23T02:04:39.5265084Z [2022-11-23 01:57:42,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(float), ConstantVariable(str)]
2022-11-23T02:04:39.5265830Z [2022-11-23 01:57:42,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(float), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:39.5266160Z [2022-11-23 01:57:42,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()]
2022-11-23T02:04:39.5266581Z [2022-11-23 01:57:42,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2536
2022-11-23T02:04:39.5266879Z [2022-11-23 01:57:42,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z []
2022-11-23T02:04:39.5267181Z [2022-11-23 01:57:42,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T02:04:39.5267550Z [2022-11-23 01:57:42,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5267883Z [2022-11-23 01:57:42,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST w [TensorVariable()]
2022-11-23T02:04:39.5268360Z [2022-11-23 01:57:42,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2537
2022-11-23T02:04:39.5268677Z [2022-11-23 01:57:42,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.5269169Z [2022-11-23 01:57:42,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5269608Z [2022-11-23 01:57:42,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(<built-in method pow of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5270082Z [2022-11-23 01:57:42,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.5 [TorchVariable(<built-in method pow of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5270614Z [2022-11-23 01:57:42,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method pow of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.5270954Z [2022-11-23 01:57:42,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.5271251Z [2022-11-23 01:57:42,027] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:39.5271590Z [2022-11-23 01:57:42,028] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.5271921Z [2022-11-23 01:57:42,034] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.5272188Z [2022-11-23 01:57:42,035] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5272384Z  __compiled_fn_264 <eval_with_key>.2061 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5272517Z placeholder, x, x, (), {}
2022-11-23T02:04:39.5272859Z call_function, tensor, <built-in method tensor of type object at 0x7fa5855aec60>, (0.123,), {'device': 'cpu'}
2022-11-23T02:04:39.5273106Z call_function, add, <built-in function add>, (tensor, x), {}
2022-11-23T02:04:39.5273420Z call_function, pow_1, <built-in method pow of type object at 0x7fa5855aec60>, (add, 0.5), {}
2022-11-23T02:04:39.5273544Z output, output, output, ((pow_1,),), {}
2022-11-23T02:04:39.5273564Z 
2022-11-23T02:04:39.5274010Z [2022-11-23 01:57:42,035] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2534 
2022-11-23T02:04:39.5274159Z 2535           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5274305Z                2 LOAD_ATTR                1 (tensor)
2022-11-23T02:04:39.5274446Z                4 LOAD_CONST               1 (0.123)
2022-11-23T02:04:39.5274582Z                6 LOAD_DEREF               0 (self)
2022-11-23T02:04:39.5274777Z                8 LOAD_ATTR                2 (device)
2022-11-23T02:04:39.5274993Z               10 LOAD_CONST               2 (('device',))
2022-11-23T02:04:39.5275108Z               12 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.5275249Z               14 STORE_FAST               1 (z)
2022-11-23T02:04:39.5275273Z 
2022-11-23T02:04:39.5275412Z 2536          16 LOAD_FAST                1 (z)
2022-11-23T02:04:39.5275547Z               18 LOAD_FAST                0 (x)
2022-11-23T02:04:39.5275662Z               20 BINARY_ADD
2022-11-23T02:04:39.5275796Z               22 STORE_FAST               2 (w)
2022-11-23T02:04:39.5275815Z 
2022-11-23T02:04:39.5275953Z 2537          24 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5276070Z               26 LOAD_METHOD              3 (pow)
2022-11-23T02:04:39.5276206Z               28 LOAD_FAST                2 (w)
2022-11-23T02:04:39.5276339Z               30 LOAD_CONST               3 (0.5)
2022-11-23T02:04:39.5276472Z               32 CALL_METHOD              2
2022-11-23T02:04:39.5276595Z               34 RETURN_VALUE
2022-11-23T02:04:39.5276614Z 
2022-11-23T02:04:39.5276710Z  
2022-11-23T02:04:39.5277212Z [2022-11-23 01:57:42,036] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2534 
2022-11-23T02:04:39.5277389Z 2534           0 LOAD_GLOBAL              4 (__compiled_fn_264)
2022-11-23T02:04:39.5277499Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:39.5277635Z                4 CALL_FUNCTION            1
2022-11-23T02:04:39.5277774Z                6 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.5277891Z                8 RETURN_VALUE
2022-11-23T02:04:39.5277911Z 
2022-11-23T02:04:39.5278009Z  
2022-11-23T02:04:39.5278271Z [2022-11-23 01:57:42,037] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5278382Z  - 
2022-11-23T02:04:39.5278534Z             local 'x' TENSOR_MATCH
2022-11-23T02:04:39.5278637Z             {
2022-11-23T02:04:39.5278848Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5279008Z                 'code': None,
2022-11-23T02:04:39.5279309Z                 'obj_weakref': <weakref at 0x7fa51c512ed0; to 'Tensor' at 0x7fa5042fe2f0>
2022-11-23T02:04:39.5279659Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5279763Z             }
2022-11-23T02:04:39.5279843Z             
2022-11-23T02:04:39.5279967Z  - 
2022-11-23T02:04:39.5280144Z             local 'self' TYPE_MATCH
2022-11-23T02:04:39.5280245Z             {
2022-11-23T02:04:39.5280444Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T02:04:39.5280683Z                 'code': ['___check_type_id(self, 93849178510624)'],
2022-11-23T02:04:39.5280986Z                 'obj_weakref': <weakref at 0x7fa51c3a0400; to 'CpuTests' at 0x7fa6237de5c0>
2022-11-23T02:04:39.5281306Z                 'guarded_class': <weakref at 0x7fa62bb931a0; to 'type' at 0x555af6f29520 (CpuTests)>
2022-11-23T02:04:39.5281391Z             }
2022-11-23T02:04:39.5281495Z             
2022-11-23T02:04:39.5281609Z  - 
2022-11-23T02:04:39.5281817Z             local 'self.device' CONSTANT_MATCH
2022-11-23T02:04:39.5281919Z             {
2022-11-23T02:04:39.5282140Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.5282416Z                 'code': ['___check_type_id(self.device, 93849050095808)', "self.device == 'cpu'"],
2022-11-23T02:04:39.5282590Z                 'obj_weakref': None
2022-11-23T02:04:39.5282896Z                 'guarded_class': <weakref at 0x7fa6421fd080; to 'type' at 0x555aef4b20c0 (str)>
2022-11-23T02:04:39.5282997Z             }
2022-11-23T02:04:39.5283102Z             
2022-11-23T02:04:39.5283213Z  - 
2022-11-23T02:04:39.5283403Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.5283483Z             {
2022-11-23T02:04:39.5283661Z                 'guard_types': None,
2022-11-23T02:04:39.5283819Z                 'code': None,
2022-11-23T02:04:39.5283993Z                 'obj_weakref': None
2022-11-23T02:04:39.5284242Z                 'guarded_class': None
2022-11-23T02:04:39.5284348Z             }
2022-11-23T02:04:39.5284448Z             
2022-11-23T02:04:39.5284790Z [2022-11-23 01:57:42,047] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 257
2022-11-23T02:04:39.5285282Z [2022-11-23 01:57:44,656] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n7/cn7ix7rzjowagdhv6v7zk5pnur3ok6wjimgi5aqo6heppbscoqz6.py
2022-11-23T02:04:39.5285714Z [2022-11-23 01:57:44,657] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 257
2022-11-23T02:04:39.5285735Z 
2022-11-23T02:04:39.5285879Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5285990Z import torch
2022-11-23T02:04:39.5286100Z import random
2022-11-23T02:04:39.5286270Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5286448Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5286467Z 
2022-11-23T02:04:39.5286570Z aten = torch.ops.aten
2022-11-23T02:04:39.5286762Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5286899Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5286918Z 
2022-11-23T02:04:39.5286938Z 
2022-11-23T02:04:39.5287200Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5287489Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5287664Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5287813Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.5287918Z {
2022-11-23T02:04:39.5287992Z     {
2022-11-23T02:04:39.5288095Z         {
2022-11-23T02:04:39.5288222Z             auto tmp1 = in_ptr0[0];
2022-11-23T02:04:39.5288384Z             auto tmp0 = static_cast<float>(0.12300000339746475);
2022-11-23T02:04:39.5288514Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.5288673Z             auto tmp3 = std::sqrt(tmp2);
2022-11-23T02:04:39.5288801Z             out_ptr0[0] = tmp3;
2022-11-23T02:04:39.5288879Z         }
2022-11-23T02:04:39.5288980Z     }
2022-11-23T02:04:39.5289072Z }
2022-11-23T02:04:39.5289210Z ''')
2022-11-23T02:04:39.5289229Z 
2022-11-23T02:04:39.5289248Z 
2022-11-23T02:04:39.5289393Z async_compile.wait(globals())
2022-11-23T02:04:39.5289506Z del async_compile
2022-11-23T02:04:39.5289525Z 
2022-11-23T02:04:39.5289637Z def call(args):
2022-11-23T02:04:39.5289723Z     arg0_1, = args
2022-11-23T02:04:39.5289839Z     args.clear()
2022-11-23T02:04:39.5290103Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5290296Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.5290404Z     del arg0_1
2022-11-23T02:04:39.5290521Z     return (buf0, )
2022-11-23T02:04:39.5290541Z 
2022-11-23T02:04:39.5290559Z 
2022-11-23T02:04:39.5290677Z if __name__ == "__main__":
2022-11-23T02:04:39.5290852Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5291011Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5291280Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5291438Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.5291457Z 
2022-11-23T02:04:39.5291569Z ok (2.644s)
2022-11-23T02:04:39.5292023Z   test_rand_like_deterministic_cpu (__main__.CpuTests) ... [2022-11-23 01:57:44,663] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:39.5292454Z [2022-11-23 01:57:44,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3876
2022-11-23T02:04:39.5292762Z [2022-11-23 01:57:44,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.5293270Z [2022-11-23 01:57:44,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rand_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5293796Z [2022-11-23 01:57:44,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method rand_like of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5294262Z [2022-11-23 01:57:44,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method rand_like of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5294607Z [2022-11-23 01:57:44,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.5295143Z [2022-11-23 01:57:44,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rand_like [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5295623Z [2022-11-23 01:57:44,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method rand_like of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5296734Z [2022-11-23 01:57:44,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method rand_like of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5297588Z [2022-11-23 01:57:44,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5298161Z [2022-11-23 01:57:44,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5298495Z [2022-11-23 01:57:44,668] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:39.5298829Z [2022-11-23 01:57:44,670] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.5299153Z [2022-11-23 01:57:44,677] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.5299416Z [2022-11-23 01:57:44,677] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5299587Z  __compiled_fn_265 <eval_with_key>.2067 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5299719Z placeholder, a, a, (), {}
2022-11-23T02:04:39.5299921Z call_function, rand_like_3, <function rand_like at 0x7fa5529070a0>, (a,), {}
2022-11-23T02:04:39.5300123Z call_function, rand_like_2, <function rand_like at 0x7fa5529070a0>, (a,), {}
2022-11-23T02:04:39.5300295Z output, output, output, ((rand_like_3, rand_like_2),), {}
2022-11-23T02:04:39.5300316Z 
2022-11-23T02:04:39.5300760Z [2022-11-23 01:57:44,678] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3874 
2022-11-23T02:04:39.5300907Z 3876           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5301055Z                2 LOAD_METHOD              1 (rand_like)
2022-11-23T02:04:39.5301168Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5301303Z                6 CALL_METHOD              1
2022-11-23T02:04:39.5301447Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5301604Z               10 LOAD_METHOD              1 (rand_like)
2022-11-23T02:04:39.5301744Z               12 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5301875Z               14 CALL_METHOD              1
2022-11-23T02:04:39.5302009Z               16 BUILD_TUPLE              2
2022-11-23T02:04:39.5302106Z               18 RETURN_VALUE
2022-11-23T02:04:39.5302125Z 
2022-11-23T02:04:39.5302225Z  
2022-11-23T02:04:39.5302672Z [2022-11-23 01:57:44,678] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3874 
2022-11-23T02:04:39.5302835Z 3874           0 LOAD_GLOBAL              2 (__compiled_fn_265)
2022-11-23T02:04:39.5302970Z                2 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5303105Z                4 CALL_FUNCTION            1
2022-11-23T02:04:39.5303257Z                6 STORE_FAST               1 (___graph_out_0)
2022-11-23T02:04:39.5303409Z                8 LOAD_FAST                1 (___graph_out_0)
2022-11-23T02:04:39.5303624Z               10 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5303748Z               12 BINARY_SUBSCR
2022-11-23T02:04:39.5303901Z               14 LOAD_FAST                1 (___graph_out_0)
2022-11-23T02:04:39.5304040Z               16 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5304159Z               18 BINARY_SUBSCR
2022-11-23T02:04:39.5304296Z               20 BUILD_TUPLE              2
2022-11-23T02:04:39.5304413Z               22 RETURN_VALUE
2022-11-23T02:04:39.5304432Z 
2022-11-23T02:04:39.5304506Z  
2022-11-23T02:04:39.5304773Z [2022-11-23 01:57:44,679] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5304889Z  - 
2022-11-23T02:04:39.5305064Z             local 'a' TENSOR_MATCH
2022-11-23T02:04:39.5305173Z             {
2022-11-23T02:04:39.5305377Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5305533Z                 'code': None,
2022-11-23T02:04:39.5305806Z                 'obj_weakref': <weakref at 0x7fa51c49aed0; to 'Tensor' at 0x7fa51c5128e0>
2022-11-23T02:04:39.5306158Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5306263Z             }
2022-11-23T02:04:39.5306367Z             
2022-11-23T02:04:39.5306527Z  - 
2022-11-23T02:04:39.5306729Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.5306830Z             {
2022-11-23T02:04:39.5306979Z                 'guard_types': None,
2022-11-23T02:04:39.5307137Z                 'code': None,
2022-11-23T02:04:39.5307313Z                 'obj_weakref': None
2022-11-23T02:04:39.5307493Z                 'guarded_class': None
2022-11-23T02:04:39.5307594Z             }
2022-11-23T02:04:39.5307695Z             
2022-11-23T02:04:39.5308052Z [2022-11-23 01:57:44,692] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 258
2022-11-23T02:04:39.5308378Z [2022-11-23 01:57:44,692] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T02:04:39.5308886Z [2022-11-23 01:57:47,258] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gc/cgcg3iii2vignxz5a6mjwkdsdc7oyyuqzivtfg6fcxfzy6hmjqgh.py
2022-11-23T02:04:39.5309252Z [2022-11-23 01:57:47,258] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 258
2022-11-23T02:04:39.5309272Z 
2022-11-23T02:04:39.5309417Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5309529Z import torch
2022-11-23T02:04:39.5309637Z import random
2022-11-23T02:04:39.5309807Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5309982Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5310001Z 
2022-11-23T02:04:39.5310099Z aten = torch.ops.aten
2022-11-23T02:04:39.5310288Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5310425Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5310651Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T02:04:39.5310674Z 
2022-11-23T02:04:39.5310692Z 
2022-11-23T02:04:39.5310887Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5311168Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5311343Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T02:04:39.5311491Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.5311611Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.5311708Z {
2022-11-23T02:04:39.5311853Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.5311948Z     {
2022-11-23T02:04:39.5312147Z         #pragma omp for 
2022-11-23T02:04:39.5312277Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T02:04:39.5312377Z         {
2022-11-23T02:04:39.5312455Z             {
2022-11-23T02:04:39.5312559Z                 {
2022-11-23T02:04:39.5312688Z                     auto tmp0 = seed0[0];
2022-11-23T02:04:39.5312837Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T02:04:39.5313102Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T02:04:39.5313262Z                     auto tmp3 = static_cast<int>(1024 + i0);
2022-11-23T02:04:39.5313463Z                     auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp0, tmp3));;
2022-11-23T02:04:39.5313572Z                     out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.5313700Z                     out_ptr1[i0] = tmp4;
2022-11-23T02:04:39.5313802Z                 }
2022-11-23T02:04:39.5313910Z             }
2022-11-23T02:04:39.5314010Z         }
2022-11-23T02:04:39.5314109Z     }
2022-11-23T02:04:39.5314208Z }
2022-11-23T02:04:39.5314312Z ''')
2022-11-23T02:04:39.5314331Z 
2022-11-23T02:04:39.5314350Z 
2022-11-23T02:04:39.5314487Z async_compile.wait(globals())
2022-11-23T02:04:39.5314597Z del async_compile
2022-11-23T02:04:39.5314616Z 
2022-11-23T02:04:39.5314728Z def call(args):
2022-11-23T02:04:39.5314836Z     arg0_1, = args
2022-11-23T02:04:39.5314953Z     args.clear()
2022-11-23T02:04:39.5315146Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T02:04:39.5315424Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5315725Z     buf1 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5315978Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.5316102Z     return (buf0, buf1, )
2022-11-23T02:04:39.5316121Z 
2022-11-23T02:04:39.5316140Z 
2022-11-23T02:04:39.5316259Z if __name__ == "__main__":
2022-11-23T02:04:39.5316425Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5316598Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5316868Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.5317142Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5317287Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.5317306Z 
2022-11-23T02:04:39.5317416Z ok (2.602s)
2022-11-23T02:04:39.5317842Z   test_reduction1_cpu (__main__.CpuTests) ... [2022-11-23 01:57:47,265] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5318276Z [2022-11-23 01:57:47,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5318579Z [2022-11-23 01:57:47,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5318920Z [2022-11-23 01:57:47,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5319293Z [2022-11-23 01:57:47,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5319729Z [2022-11-23 01:57:47,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5320208Z [2022-11-23 01:57:47,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5320646Z [2022-11-23 01:57:47,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5321126Z [2022-11-23 01:57:47,266] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641159a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 771> 
2022-11-23T02:04:39.5321265Z  772           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5321411Z               2 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.5321541Z               4 CALL_METHOD              0
2022-11-23T02:04:39.5321674Z               6 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5321879Z               8 LOAD_METHOD              1 (max)
2022-11-23T02:04:39.5322012Z              10 CALL_METHOD              0
2022-11-23T02:04:39.5322123Z              12 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5322263Z              14 LOAD_METHOD              2 (min)
2022-11-23T02:04:39.5322401Z              16 CALL_METHOD              0
2022-11-23T02:04:39.5322536Z              18 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5322677Z              20 LOAD_METHOD              3 (argmax)
2022-11-23T02:04:39.5322807Z              22 CALL_METHOD              0
2022-11-23T02:04:39.5322945Z              24 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5323088Z              26 LOAD_METHOD              4 (argmin)
2022-11-23T02:04:39.5323195Z              28 CALL_METHOD              0
2022-11-23T02:04:39.5323322Z              30 BUILD_TUPLE              5
2022-11-23T02:04:39.5323452Z              32 RETURN_VALUE
2022-11-23T02:04:39.5323547Z  
2022-11-23T02:04:39.5323567Z 
2022-11-23T02:04:39.5324010Z [2022-11-23 01:57:47,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:772
2022-11-23T02:04:39.5324308Z [2022-11-23 01:57:47,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.5324692Z [2022-11-23 01:57:47,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T02:04:39.5325081Z [2022-11-23 01:57:47,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.5325388Z [2022-11-23 01:57:47,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:39.5325750Z [2022-11-23 01:57:47,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5326166Z [2022-11-23 01:57:47,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T02:04:39.5326540Z [2022-11-23 01:57:47,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5326956Z [2022-11-23 01:57:47,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5327401Z [2022-11-23 01:57:47,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T02:04:39.5327804Z [2022-11-23 01:57:47,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5328247Z [2022-11-23 01:57:47,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5328737Z [2022-11-23 01:57:47,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T02:04:39.5329182Z [2022-11-23 01:57:47,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5329667Z [2022-11-23 01:57:47,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5330178Z [2022-11-23 01:57:47,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T02:04:39.5330652Z [2022-11-23 01:57:47,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5330991Z [2022-11-23 01:57:47,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5331587Z [2022-11-23 01:57:47,276] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641159a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 771>
2022-11-23T02:04:39.5331928Z [2022-11-23 01:57:47,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5332253Z [2022-11-23 01:57:47,276] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5332601Z [2022-11-23 01:57:47,278] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5332942Z [2022-11-23 01:57:47,284] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5333205Z [2022-11-23 01:57:47,284] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5333401Z  __compiled_fn_266 <eval_with_key>.2073 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5333520Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5333660Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T02:04:39.5333791Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T02:04:39.5333920Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T02:04:39.5334115Z call_method, argmax, argmax, (ex_0_,), {}
2022-11-23T02:04:39.5334264Z call_method, argmin, argmin, (ex_0_,), {}
2022-11-23T02:04:39.5334458Z output, output, output, ((sum_1, max_1, min_1, argmax, argmin),), {}
2022-11-23T02:04:39.5334478Z 
2022-11-23T02:04:39.5334902Z [2022-11-23 01:57:47,285] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5335044Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5335187Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5335319Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5335460Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5335597Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5335732Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5335845Z              12 RETURN_VALUE
2022-11-23T02:04:39.5335865Z 
2022-11-23T02:04:39.5335938Z  
2022-11-23T02:04:39.5337239Z [2022-11-23 01:57:47,285] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5337506Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_266)
2022-11-23T02:04:39.5337716Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5337930Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5338135Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5338341Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.5338495Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.5338647Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5338780Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5338906Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.5339053Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5339188Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5339310Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.5339458Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5339570Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.5339690Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.5339843Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5339976Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:39.5340092Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.5340240Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5340373Z              38 LOAD_CONST               5 (4)
2022-11-23T02:04:39.5340466Z              40 BINARY_SUBSCR
2022-11-23T02:04:39.5340600Z              42 BUILD_TUPLE              5
2022-11-23T02:04:39.5340944Z              44 RETURN_VALUE
2022-11-23T02:04:39.5340964Z 
2022-11-23T02:04:39.5341065Z  
2022-11-23T02:04:39.5341347Z [2022-11-23 01:57:47,287] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5341461Z  - 
2022-11-23T02:04:39.5341638Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5341718Z             {
2022-11-23T02:04:39.5341920Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5342185Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.5342357Z                 'obj_weakref': None
2022-11-23T02:04:39.5342668Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5342771Z             }
2022-11-23T02:04:39.5342872Z             
2022-11-23T02:04:39.5342960Z  - 
2022-11-23T02:04:39.5343144Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5343249Z             {
2022-11-23T02:04:39.5343453Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5343611Z                 'code': None,
2022-11-23T02:04:39.5343907Z                 'obj_weakref': <weakref at 0x7fa51c3a2de0; to 'Tensor' at 0x7fa51c4d9a30>
2022-11-23T02:04:39.5344370Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5344455Z             }
2022-11-23T02:04:39.5344557Z             
2022-11-23T02:04:39.5344674Z  - 
2022-11-23T02:04:39.5344862Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5344963Z             {
2022-11-23T02:04:39.5345156Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5345397Z                 'code': ['___check_obj_id(model, 140347119663232)'],
2022-11-23T02:04:39.5345546Z                 'obj_weakref': None
2022-11-23T02:04:39.5345861Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5345969Z             }
2022-11-23T02:04:39.5346073Z             
2022-11-23T02:04:39.5346185Z  - 
2022-11-23T02:04:39.5346360Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5346461Z             {
2022-11-23T02:04:39.5346631Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5346932Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5347106Z                 'obj_weakref': None
2022-11-23T02:04:39.5347413Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5347517Z             }
2022-11-23T02:04:39.5347617Z             
2022-11-23T02:04:39.5347974Z [2022-11-23 01:57:47,298] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 259
2022-11-23T02:04:39.5348442Z [2022-11-23 01:57:49,912] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mj/cmjpa6ag4mlrfd32b3wdhcshyijw7e6hsnnbpfcodbiseaxyfouj.py
2022-11-23T02:04:39.5348804Z [2022-11-23 01:57:49,912] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 259
2022-11-23T02:04:39.5348829Z 
2022-11-23T02:04:39.5348971Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5349081Z import torch
2022-11-23T02:04:39.5349194Z import random
2022-11-23T02:04:39.5349365Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5349542Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5349561Z 
2022-11-23T02:04:39.5349687Z aten = torch.ops.aten
2022-11-23T02:04:39.5349854Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5349992Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5350013Z 
2022-11-23T02:04:39.5350031Z 
2022-11-23T02:04:39.5350228Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5350513Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5350689Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5350913Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.5351059Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.5351199Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:39.5351325Z                        long* __restrict__ out_ptr3,
2022-11-23T02:04:39.5351466Z                        long* __restrict__ out_ptr4)
2022-11-23T02:04:39.5351564Z {
2022-11-23T02:04:39.5351668Z     {
2022-11-23T02:04:39.5351765Z         {
2022-11-23T02:04:39.5351887Z             float tmp1 = 0;
2022-11-23T02:04:39.5352253Z             float tmp2 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.5352410Z             float tmp3 = std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.5352584Z             struct IndexValue_7 {size_t index; float value;};
2022-11-23T02:04:39.5352890Z             IndexValue_7 tmp4{0, -std::numeric_limits<float>::infinity()};
2022-11-23T02:04:39.5353094Z             #pragma omp declare reduction(argmax : struct IndexValue_7 :\
2022-11-23T02:04:39.5353313Z                 omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T02:04:39.5353520Z                 omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T02:04:39.5353887Z             	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T02:04:39.5354062Z             struct IndexValue_8 {size_t index; float value;};
2022-11-23T02:04:39.5354255Z             IndexValue_8 tmp5{0, std::numeric_limits<float>::infinity()};
2022-11-23T02:04:39.5354430Z             #pragma omp declare reduction(argmin : struct IndexValue_8 :\
2022-11-23T02:04:39.5354645Z                 omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T02:04:39.5354853Z                 omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T02:04:39.5355054Z             	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T02:04:39.5355188Z             for(long i0=0; i0<3; i0+=1)
2022-11-23T02:04:39.5355291Z             {
2022-11-23T02:04:39.5355398Z                 {
2022-11-23T02:04:39.5355536Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.5355639Z                     tmp1 += tmp0;
2022-11-23T02:04:39.5355789Z                     tmp2 = std::max(tmp2, tmp0);
2022-11-23T02:04:39.5355929Z                     tmp3 = std::min(tmp3, tmp0);
2022-11-23T02:04:39.5356066Z                     if (tmp4.value < tmp0) {
2022-11-23T02:04:39.5356227Z                         tmp4.index = i0; tmp4.value = tmp0;
2022-11-23T02:04:39.5356336Z                     }
2022-11-23T02:04:39.5356469Z                     if (tmp5.value > tmp0) {
2022-11-23T02:04:39.5356601Z                         tmp5.index = i0; tmp5.value = tmp0;
2022-11-23T02:04:39.5356702Z                     }
2022-11-23T02:04:39.5356805Z                 }
2022-11-23T02:04:39.5356902Z             }
2022-11-23T02:04:39.5357029Z             out_ptr0[0] = tmp1;
2022-11-23T02:04:39.5357153Z             out_ptr1[0] = tmp2;
2022-11-23T02:04:39.5357272Z             out_ptr2[0] = tmp3;
2022-11-23T02:04:39.5357379Z             out_ptr3[0] = tmp4.index;
2022-11-23T02:04:39.5357503Z             out_ptr4[0] = tmp5.index;
2022-11-23T02:04:39.5357605Z         }
2022-11-23T02:04:39.5357703Z     }
2022-11-23T02:04:39.5357802Z }
2022-11-23T02:04:39.5357933Z ''')
2022-11-23T02:04:39.5357953Z 
2022-11-23T02:04:39.5357971Z 
2022-11-23T02:04:39.5358109Z async_compile.wait(globals())
2022-11-23T02:04:39.5358200Z del async_compile
2022-11-23T02:04:39.5358219Z 
2022-11-23T02:04:39.5358332Z def call(args):
2022-11-23T02:04:39.5358440Z     arg0_1, = args
2022-11-23T02:04:39.5358554Z     args.clear()
2022-11-23T02:04:39.5358817Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5359071Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5359317Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5359605Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.5359853Z     buf4 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.5360183Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T02:04:39.5360294Z     del arg0_1
2022-11-23T02:04:39.5360437Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T02:04:39.5360457Z 
2022-11-23T02:04:39.5360475Z 
2022-11-23T02:04:39.5360593Z if __name__ == "__main__":
2022-11-23T02:04:39.5360766Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5360956Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5361205Z     arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5361368Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.5361391Z 
2022-11-23T02:04:39.5361497Z ok (2.654s)
2022-11-23T02:04:39.5361923Z   test_reduction2_cpu (__main__.CpuTests) ... [2022-11-23 01:57:49,919] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5362414Z [2022-11-23 01:57:49,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5362727Z [2022-11-23 01:57:49,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5363077Z [2022-11-23 01:57:49,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5363458Z [2022-11-23 01:57:49,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5363898Z [2022-11-23 01:57:49,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5364374Z [2022-11-23 01:57:49,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5364793Z [2022-11-23 01:57:49,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5365293Z [2022-11-23 01:57:49,920] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641159bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 777> 
2022-11-23T02:04:39.5365439Z  779           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5365581Z               2 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.5365715Z               4 CALL_METHOD              0
2022-11-23T02:04:39.5365855Z               6 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5365995Z               8 LOAD_METHOD              1 (max)
2022-11-23T02:04:39.5366121Z              10 CALL_METHOD              0
2022-11-23T02:04:39.5366236Z              12 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5366375Z              14 LOAD_METHOD              2 (min)
2022-11-23T02:04:39.5366508Z              16 CALL_METHOD              0
2022-11-23T02:04:39.5366650Z              18 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5366798Z              20 LOAD_METHOD              3 (argmin)
2022-11-23T02:04:39.5366931Z              22 CALL_METHOD              0
2022-11-23T02:04:39.5367061Z              24 BUILD_TUPLE              4
2022-11-23T02:04:39.5367154Z              26 RETURN_VALUE
2022-11-23T02:04:39.5367253Z  
2022-11-23T02:04:39.5367273Z 
2022-11-23T02:04:39.5367712Z [2022-11-23 01:57:49,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:779
2022-11-23T02:04:39.5368009Z [2022-11-23 01:57:49,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.5368344Z [2022-11-23 01:57:49,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T02:04:39.5368802Z [2022-11-23 01:57:49,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.5369137Z [2022-11-23 01:57:49,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:39.5369505Z [2022-11-23 01:57:49,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5369927Z [2022-11-23 01:57:49,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T02:04:39.5370264Z [2022-11-23 01:57:49,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5370666Z [2022-11-23 01:57:49,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5371117Z [2022-11-23 01:57:49,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T02:04:39.5371578Z [2022-11-23 01:57:49,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5372027Z [2022-11-23 01:57:49,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5372525Z [2022-11-23 01:57:49,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T02:04:39.5373013Z [2022-11-23 01:57:49,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5373358Z [2022-11-23 01:57:49,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5373871Z [2022-11-23 01:57:49,928] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641159bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 777>
2022-11-23T02:04:39.5374216Z [2022-11-23 01:57:49,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5374549Z [2022-11-23 01:57:49,928] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5374880Z [2022-11-23 01:57:49,930] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5375224Z [2022-11-23 01:57:49,936] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5375488Z [2022-11-23 01:57:49,936] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5375680Z  __compiled_fn_267 <eval_with_key>.2079 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5375821Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5375957Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T02:04:39.5376851Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T02:04:39.5377082Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T02:04:39.5377300Z call_method, argmin, argmin, (ex_0_,), {}
2022-11-23T02:04:39.5377598Z output, output, output, ((sum_1, max_1, min_1, argmin),), {}
2022-11-23T02:04:39.5377625Z 
2022-11-23T02:04:39.5378310Z [2022-11-23 01:57:49,937] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5378458Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5378598Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5378732Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5378876Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5379008Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5379271Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5379387Z              12 RETURN_VALUE
2022-11-23T02:04:39.5379406Z 
2022-11-23T02:04:39.5379508Z  
2022-11-23T02:04:39.5379954Z [2022-11-23 01:57:49,937] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5380115Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_267)
2022-11-23T02:04:39.5380251Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5380388Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5380483Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5380617Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.5380772Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.5380927Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5381062Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5381180Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.5381327Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5381462Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5381558Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.5381775Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5381919Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.5382038Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.5382187Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5382327Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:39.5382443Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.5382554Z              36 BUILD_TUPLE              4
2022-11-23T02:04:39.5382667Z              38 RETURN_VALUE
2022-11-23T02:04:39.5382687Z 
2022-11-23T02:04:39.5382784Z  
2022-11-23T02:04:39.5383050Z [2022-11-23 01:57:49,938] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5383168Z  - 
2022-11-23T02:04:39.5383342Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5383449Z             {
2022-11-23T02:04:39.5383630Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5383891Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.5384070Z                 'obj_weakref': None
2022-11-23T02:04:39.5384388Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5384491Z             }
2022-11-23T02:04:39.5384594Z             
2022-11-23T02:04:39.5384707Z  - 
2022-11-23T02:04:39.5384865Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5384963Z             {
2022-11-23T02:04:39.5385164Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5385318Z                 'code': None,
2022-11-23T02:04:39.5385655Z                 'obj_weakref': <weakref at 0x7fa51c3525c0; to 'Tensor' at 0x7fa51c274310>
2022-11-23T02:04:39.5386005Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5386117Z             }
2022-11-23T02:04:39.5386194Z             
2022-11-23T02:04:39.5386309Z  - 
2022-11-23T02:04:39.5386496Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5386605Z             {
2022-11-23T02:04:39.5386793Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5387030Z                 'code': ['___check_obj_id(model, 140347119663232)'],
2022-11-23T02:04:39.5387205Z                 'obj_weakref': None
2022-11-23T02:04:39.5387497Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5387598Z             }
2022-11-23T02:04:39.5387697Z             
2022-11-23T02:04:39.5387805Z  - 
2022-11-23T02:04:39.5387980Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5388086Z             {
2022-11-23T02:04:39.5388280Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5388618Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5388790Z                 'obj_weakref': None
2022-11-23T02:04:39.5389096Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5389205Z             }
2022-11-23T02:04:39.5389307Z             
2022-11-23T02:04:39.5389669Z [2022-11-23 01:57:49,949] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 260
2022-11-23T02:04:39.5390151Z [2022-11-23 01:57:52,570] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/23/c234uoqdpuawtboe2au57a7sggkqcxd4r4e3tezqlkebdxeqciuj.py
2022-11-23T02:04:39.5390512Z [2022-11-23 01:57:52,571] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 260
2022-11-23T02:04:39.5390533Z 
2022-11-23T02:04:39.5390652Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5390764Z import torch
2022-11-23T02:04:39.5390873Z import random
2022-11-23T02:04:39.5391048Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5391225Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5391244Z 
2022-11-23T02:04:39.5391423Z aten = torch.ops.aten
2022-11-23T02:04:39.5391668Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5391789Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5391832Z 
2022-11-23T02:04:39.5391851Z 
2022-11-23T02:04:39.5392026Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5392315Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5392490Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5392639Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.5392783Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.5392926Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:39.5393074Z                        long* __restrict__ out_ptr3)
2022-11-23T02:04:39.5393154Z {
2022-11-23T02:04:39.5393258Z     {
2022-11-23T02:04:39.5393358Z         {
2022-11-23T02:04:39.5393475Z             float tmp1 = 0;
2022-11-23T02:04:39.5393822Z             float tmp2 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.5394011Z             float tmp3 = std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.5394185Z             struct IndexValue_9 {size_t index; float value;};
2022-11-23T02:04:39.5394357Z             IndexValue_9 tmp4{0, std::numeric_limits<float>::infinity()};
2022-11-23T02:04:39.5394559Z             #pragma omp declare reduction(argmin : struct IndexValue_9 :\
2022-11-23T02:04:39.5394776Z                 omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T02:04:39.5394988Z                 omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T02:04:39.5395190Z             	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T02:04:39.5395324Z             for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.5395426Z             {
2022-11-23T02:04:39.5395529Z                 {
2022-11-23T02:04:39.5395644Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.5395768Z                     tmp1 += tmp0;
2022-11-23T02:04:39.5395922Z                     tmp2 = std::max(tmp2, tmp0);
2022-11-23T02:04:39.5396074Z                     tmp3 = std::min(tmp3, tmp0);
2022-11-23T02:04:39.5396213Z                     if (tmp4.value > tmp0) {
2022-11-23T02:04:39.5396375Z                         tmp4.index = i0; tmp4.value = tmp0;
2022-11-23T02:04:39.5396482Z                     }
2022-11-23T02:04:39.5396560Z                 }
2022-11-23T02:04:39.5396661Z             }
2022-11-23T02:04:39.5396783Z             out_ptr0[0] = tmp1;
2022-11-23T02:04:39.5396910Z             out_ptr1[0] = tmp2;
2022-11-23T02:04:39.5397029Z             out_ptr2[0] = tmp3;
2022-11-23T02:04:39.5397157Z             out_ptr3[0] = tmp4.index;
2022-11-23T02:04:39.5397351Z         }
2022-11-23T02:04:39.5397426Z     }
2022-11-23T02:04:39.5397522Z }
2022-11-23T02:04:39.5397645Z ''')
2022-11-23T02:04:39.5397665Z 
2022-11-23T02:04:39.5397684Z 
2022-11-23T02:04:39.5397823Z async_compile.wait(globals())
2022-11-23T02:04:39.5397942Z del async_compile
2022-11-23T02:04:39.5397963Z 
2022-11-23T02:04:39.5398080Z def call(args):
2022-11-23T02:04:39.5398191Z     arg0_1, = args
2022-11-23T02:04:39.5398279Z     args.clear()
2022-11-23T02:04:39.5398544Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5398798Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5399048Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5399295Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.5399593Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T02:04:39.5399710Z     del arg0_1
2022-11-23T02:04:39.5399842Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T02:04:39.5399861Z 
2022-11-23T02:04:39.5399879Z 
2022-11-23T02:04:39.5399975Z if __name__ == "__main__":
2022-11-23T02:04:39.5400202Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5400387Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5400668Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5400828Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.5400848Z 
2022-11-23T02:04:39.5400965Z ok (2.658s)
2022-11-23T02:04:39.5401391Z   test_reduction3_cpu (__main__.CpuTests) ... [2022-11-23 01:57:52,577] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5401825Z [2022-11-23 01:57:52,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5402133Z [2022-11-23 01:57:52,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5402455Z [2022-11-23 01:57:52,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5402838Z [2022-11-23 01:57:52,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5403271Z [2022-11-23 01:57:52,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5403743Z [2022-11-23 01:57:52,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5404193Z [2022-11-23 01:57:52,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5404693Z [2022-11-23 01:57:52,578] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641159d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 784> 
2022-11-23T02:04:39.5404840Z  786           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5404986Z               2 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.5405120Z               4 CALL_METHOD              0
2022-11-23T02:04:39.5405234Z               6 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5405370Z               8 LOAD_METHOD              1 (max)
2022-11-23T02:04:39.5405499Z              10 CALL_METHOD              0
2022-11-23T02:04:39.5405631Z              12 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5405765Z              14 LOAD_METHOD              2 (min)
2022-11-23T02:04:39.5405900Z              16 CALL_METHOD              0
2022-11-23T02:04:39.5406040Z              18 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5406158Z              20 LOAD_METHOD              3 (argmax)
2022-11-23T02:04:39.5406362Z              22 CALL_METHOD              0
2022-11-23T02:04:39.5406498Z              24 BUILD_TUPLE              4
2022-11-23T02:04:39.5406616Z              26 RETURN_VALUE
2022-11-23T02:04:39.5406716Z  
2022-11-23T02:04:39.5406736Z 
2022-11-23T02:04:39.5407176Z [2022-11-23 01:57:52,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:786
2022-11-23T02:04:39.5407465Z [2022-11-23 01:57:52,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.5407797Z [2022-11-23 01:57:52,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T02:04:39.5408155Z [2022-11-23 01:57:52,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.5408487Z [2022-11-23 01:57:52,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:39.5408854Z [2022-11-23 01:57:52,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5409280Z [2022-11-23 01:57:52,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T02:04:39.5409696Z [2022-11-23 01:57:52,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5410096Z [2022-11-23 01:57:52,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5410542Z [2022-11-23 01:57:52,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T02:04:39.5410936Z [2022-11-23 01:57:52,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5411375Z [2022-11-23 01:57:52,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5411866Z [2022-11-23 01:57:52,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T02:04:39.5412299Z [2022-11-23 01:57:52,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5412615Z [2022-11-23 01:57:52,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5413123Z [2022-11-23 01:57:52,589] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641159d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 784>
2022-11-23T02:04:39.5413460Z [2022-11-23 01:57:52,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5413788Z [2022-11-23 01:57:52,589] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5414136Z [2022-11-23 01:57:52,591] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5414478Z [2022-11-23 01:57:52,596] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5414741Z [2022-11-23 01:57:52,597] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5414933Z  __compiled_fn_268 <eval_with_key>.2085 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5415065Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5415178Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T02:04:39.5415308Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T02:04:39.5415438Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T02:04:39.5415578Z call_method, argmax, argmax, (ex_0_,), {}
2022-11-23T02:04:39.5415748Z output, output, output, ((sum_1, max_1, min_1, argmax),), {}
2022-11-23T02:04:39.5415829Z 
2022-11-23T02:04:39.5417048Z [2022-11-23 01:57:52,598] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5417298Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5417513Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5417692Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5417901Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5418105Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5418312Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5418467Z              12 RETURN_VALUE
2022-11-23T02:04:39.5418487Z 
2022-11-23T02:04:39.5418582Z  
2022-11-23T02:04:39.5419035Z [2022-11-23 01:57:52,598] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5419197Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_268)
2022-11-23T02:04:39.5419310Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5419440Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5419554Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5419843Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.5420004Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.5420153Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5420285Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5420379Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.5420525Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5420654Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5420768Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.5420913Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5421041Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.5421158Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.5421283Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5421415Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:39.5421530Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.5421660Z              36 BUILD_TUPLE              4
2022-11-23T02:04:39.5421773Z              38 RETURN_VALUE
2022-11-23T02:04:39.5421792Z 
2022-11-23T02:04:39.5421885Z  
2022-11-23T02:04:39.5422145Z [2022-11-23 01:57:52,599] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5422234Z  - 
2022-11-23T02:04:39.5422406Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5422510Z             {
2022-11-23T02:04:39.5422707Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5422966Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.5423135Z                 'obj_weakref': None
2022-11-23T02:04:39.5423444Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5423524Z             }
2022-11-23T02:04:39.5423623Z             
2022-11-23T02:04:39.5423730Z  - 
2022-11-23T02:04:39.5423908Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5424008Z             {
2022-11-23T02:04:39.5424206Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5424356Z                 'code': None,
2022-11-23T02:04:39.5424626Z                 'obj_weakref': <weakref at 0x7fa51c361ee0; to 'Tensor' at 0x7fa51c171580>
2022-11-23T02:04:39.5424965Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5425063Z             }
2022-11-23T02:04:39.5425161Z             
2022-11-23T02:04:39.5425269Z  - 
2022-11-23T02:04:39.5425458Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5425559Z             {
2022-11-23T02:04:39.5425729Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5426089Z                 'code': ['___check_obj_id(model, 140347119663232)'],
2022-11-23T02:04:39.5426266Z                 'obj_weakref': None
2022-11-23T02:04:39.5426585Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5426692Z             }
2022-11-23T02:04:39.5426788Z             
2022-11-23T02:04:39.5426901Z  - 
2022-11-23T02:04:39.5427054Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5427154Z             {
2022-11-23T02:04:39.5427352Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5427655Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5427828Z                 'obj_weakref': None
2022-11-23T02:04:39.5428133Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5428233Z             }
2022-11-23T02:04:39.5428311Z             
2022-11-23T02:04:39.5428677Z [2022-11-23 01:57:52,609] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 261
2022-11-23T02:04:39.5429227Z [2022-11-23 01:57:55,214] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3y/c3ye5esiypdb7kbuvjjgsmge37gioushbnidnikswjorl2tc2gfe.py
2022-11-23T02:04:39.5429595Z [2022-11-23 01:57:55,214] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 261
2022-11-23T02:04:39.5429615Z 
2022-11-23T02:04:39.5429758Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5429867Z import torch
2022-11-23T02:04:39.5429981Z import random
2022-11-23T02:04:39.5430150Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5430303Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5430349Z 
2022-11-23T02:04:39.5430446Z aten = torch.ops.aten
2022-11-23T02:04:39.5430640Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5430783Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5430808Z 
2022-11-23T02:04:39.5430827Z 
2022-11-23T02:04:39.5431025Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5431307Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5431482Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5431630Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.5431752Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.5431895Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:39.5432067Z                        long* __restrict__ out_ptr3)
2022-11-23T02:04:39.5432157Z {
2022-11-23T02:04:39.5432281Z     {
2022-11-23T02:04:39.5432383Z         {
2022-11-23T02:04:39.5432472Z             float tmp1 = 0;
2022-11-23T02:04:39.5432771Z             float tmp2 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.5432949Z             float tmp3 = std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.5433129Z             struct IndexValue_10 {size_t index; float value;};
2022-11-23T02:04:39.5433433Z             IndexValue_10 tmp4{0, -std::numeric_limits<float>::infinity()};
2022-11-23T02:04:39.5433633Z             #pragma omp declare reduction(argmax : struct IndexValue_10 :\
2022-11-23T02:04:39.5433847Z                 omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T02:04:39.5434060Z                 omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T02:04:39.5434377Z             	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T02:04:39.5434511Z             for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.5434589Z             {
2022-11-23T02:04:39.5434695Z                 {
2022-11-23T02:04:39.5434840Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.5434961Z                     tmp1 += tmp0;
2022-11-23T02:04:39.5435112Z                     tmp2 = std::max(tmp2, tmp0);
2022-11-23T02:04:39.5435319Z                     tmp3 = std::min(tmp3, tmp0);
2022-11-23T02:04:39.5435457Z                     if (tmp4.value < tmp0) {
2022-11-23T02:04:39.5435594Z                         tmp4.index = i0; tmp4.value = tmp0;
2022-11-23T02:04:39.5435705Z                     }
2022-11-23T02:04:39.5435812Z                 }
2022-11-23T02:04:39.5435914Z             }
2022-11-23T02:04:39.5436031Z             out_ptr0[0] = tmp1;
2022-11-23T02:04:39.5436149Z             out_ptr1[0] = tmp2;
2022-11-23T02:04:39.5436265Z             out_ptr2[0] = tmp3;
2022-11-23T02:04:39.5436371Z             out_ptr3[0] = tmp4.index;
2022-11-23T02:04:39.5436472Z         }
2022-11-23T02:04:39.5436570Z     }
2022-11-23T02:04:39.5436667Z }
2022-11-23T02:04:39.5436792Z ''')
2022-11-23T02:04:39.5436812Z 
2022-11-23T02:04:39.5436831Z 
2022-11-23T02:04:39.5436974Z async_compile.wait(globals())
2022-11-23T02:04:39.5437086Z del async_compile
2022-11-23T02:04:39.5437105Z 
2022-11-23T02:04:39.5437192Z def call(args):
2022-11-23T02:04:39.5437303Z     arg0_1, = args
2022-11-23T02:04:39.5437418Z     args.clear()
2022-11-23T02:04:39.5437685Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5437939Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5438237Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5438495Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.5438771Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T02:04:39.5438881Z     del arg0_1
2022-11-23T02:04:39.5439014Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T02:04:39.5439034Z 
2022-11-23T02:04:39.5439052Z 
2022-11-23T02:04:39.5439171Z if __name__ == "__main__":
2022-11-23T02:04:39.5439340Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5439521Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5439797Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5439957Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.5439976Z 
2022-11-23T02:04:39.5440060Z ok (2.643s)
2022-11-23T02:04:39.5440424Z   test_reduction4_cpu (__main__.CpuTests) ... skip: Non-deterministic CPU results (0.001s)
2022-11-23T02:04:39.5440843Z   test_reflection_pad2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:57:55,223] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5441274Z [2022-11-23 01:57:55,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5441576Z [2022-11-23 01:57:55,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5441925Z [2022-11-23 01:57:55,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5442311Z [2022-11-23 01:57:55,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5442750Z [2022-11-23 01:57:55,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5443243Z [2022-11-23 01:57:55,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5443673Z [2022-11-23 01:57:55,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5444160Z [2022-11-23 01:57:55,225] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f887c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039> 
2022-11-23T02:04:39.5444325Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.5444552Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T02:04:39.5444733Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T02:04:39.5444840Z                6 LOAD_FAST                1 (x)
2022-11-23T02:04:39.5444993Z                8 LOAD_DEREF               0 (padding)
2022-11-23T02:04:39.5445133Z               10 CALL_METHOD              3
2022-11-23T02:04:39.5445253Z               12 RETURN_VALUE
2022-11-23T02:04:39.5445327Z  
2022-11-23T02:04:39.5445346Z 
2022-11-23T02:04:39.5445787Z [2022-11-23 01:57:55,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040
2022-11-23T02:04:39.5446091Z [2022-11-23 01:57:55,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.5446553Z [2022-11-23 01:57:55,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5446968Z [2022-11-23 01:57:55,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T02:04:39.5447453Z [2022-11-23 01:57:55,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T02:04:39.5447939Z [2022-11-23 01:57:55,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5448441Z [2022-11-23 01:57:55,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.5448783Z [2022-11-23 01:57:55,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.5449296Z [2022-11-23 01:57:55,236] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f887c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039>
2022-11-23T02:04:39.5449639Z [2022-11-23 01:57:55,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.5449945Z [2022-11-23 01:57:55,236] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5450301Z [2022-11-23 01:57:55,238] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5450643Z [2022-11-23 01:57:55,243] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5450912Z [2022-11-23 01:57:55,243] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5451107Z  __compiled_fn_269 <eval_with_key>.2091 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5451238Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5451371Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.5451625Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [0, 0, 0, 0]), {}
2022-11-23T02:04:39.5451786Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T02:04:39.5451831Z 
2022-11-23T02:04:39.5452257Z [2022-11-23 01:57:55,244] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5452402Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5452535Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5452668Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5452807Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5452934Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5453142Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5453236Z              12 RETURN_VALUE
2022-11-23T02:04:39.5453257Z 
2022-11-23T02:04:39.5453358Z  
2022-11-23T02:04:39.5453865Z [2022-11-23 01:57:55,244] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5454024Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_269)
2022-11-23T02:04:39.5454182Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5454328Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5454413Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5454540Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5454652Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5454760Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.5454886Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.5455039Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.5455218Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:39.5455406Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:39.5455540Z              22 CALL_FUNCTION            0
2022-11-23T02:04:39.5455615Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:39.5455757Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5455936Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5456425Z              30 BINARY_SUBSCR
2022-11-23T02:04:39.5456651Z              32 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5456876Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:39.5457083Z              36 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5457240Z              38 BINARY_SUBSCR
2022-11-23T02:04:39.5457476Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:39.5457692Z              42 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5457930Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:39.5458070Z              46 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5458186Z              48 BINARY_SUBSCR
2022-11-23T02:04:39.5458329Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:39.5458422Z              52 RETURN_VALUE
2022-11-23T02:04:39.5458459Z 
2022-11-23T02:04:39.5458534Z  
2022-11-23T02:04:39.5458828Z [2022-11-23 01:57:55,246] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5458939Z  - 
2022-11-23T02:04:39.5459107Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5459205Z             {
2022-11-23T02:04:39.5459405Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5459639Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.5459810Z                 'obj_weakref': None
2022-11-23T02:04:39.5460114Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5460214Z             }
2022-11-23T02:04:39.5460313Z             
2022-11-23T02:04:39.5460419Z  - 
2022-11-23T02:04:39.5460603Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5460682Z             {
2022-11-23T02:04:39.5460881Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5461032Z                 'code': None,
2022-11-23T02:04:39.5461321Z                 'obj_weakref': <weakref at 0x7fa51c350810; to 'Tensor' at 0x7fa51c200ae0>
2022-11-23T02:04:39.5461662Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5461761Z             }
2022-11-23T02:04:39.5461855Z             
2022-11-23T02:04:39.5461966Z  - 
2022-11-23T02:04:39.5462125Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.5462221Z             {
2022-11-23T02:04:39.5462419Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5462578Z                 'code': None,
2022-11-23T02:04:39.5462860Z                 'obj_weakref': <weakref at 0x7fa51c353880; to 'Tensor' at 0x7fa51c274310>
2022-11-23T02:04:39.5463202Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5463468Z             }
2022-11-23T02:04:39.5463545Z             
2022-11-23T02:04:39.5463655Z  - 
2022-11-23T02:04:39.5463839Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5463940Z             {
2022-11-23T02:04:39.5464129Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5464368Z                 'code': ['___check_obj_id(model, 140347117824048)'],
2022-11-23T02:04:39.5464535Z                 'obj_weakref': None
2022-11-23T02:04:39.5464830Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5464927Z             }
2022-11-23T02:04:39.5465020Z             
2022-11-23T02:04:39.5465122Z  - 
2022-11-23T02:04:39.5465292Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5465391Z             {
2022-11-23T02:04:39.5465560Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5465855Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5466022Z                 'obj_weakref': None
2022-11-23T02:04:39.5466326Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5466500Z             }
2022-11-23T02:04:39.5466600Z             
2022-11-23T02:04:39.5466707Z  - 
2022-11-23T02:04:39.5466992Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:39.5467066Z             {
2022-11-23T02:04:39.5467264Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:39.5468215Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents == [0, 0, 0, 0]'],
2022-11-23T02:04:39.5468387Z                 'obj_weakref': None
2022-11-23T02:04:39.5468692Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:39.5468787Z             }
2022-11-23T02:04:39.5468883Z             
2022-11-23T02:04:39.5468989Z  - 
2022-11-23T02:04:39.5469226Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:39.5469323Z             {
2022-11-23T02:04:39.5469520Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.5469898Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 0'],
2022-11-23T02:04:39.5470066Z                 'obj_weakref': None
2022-11-23T02:04:39.5470482Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.5470585Z             }
2022-11-23T02:04:39.5470661Z             
2022-11-23T02:04:39.5470772Z  - 
2022-11-23T02:04:39.5471028Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:39.5471127Z             {
2022-11-23T02:04:39.5471327Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.5471702Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 0'],
2022-11-23T02:04:39.5471870Z                 'obj_weakref': None
2022-11-23T02:04:39.5472171Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.5472251Z             }
2022-11-23T02:04:39.5472348Z             
2022-11-23T02:04:39.5472454Z  - 
2022-11-23T02:04:39.5472707Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:39.5472806Z             {
2022-11-23T02:04:39.5473008Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.5473449Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 0'],
2022-11-23T02:04:39.5473598Z                 'obj_weakref': None
2022-11-23T02:04:39.5473905Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.5474003Z             }
2022-11-23T02:04:39.5474098Z             
2022-11-23T02:04:39.5474204Z  - 
2022-11-23T02:04:39.5474460Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T02:04:39.5474557Z             {
2022-11-23T02:04:39.5474739Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.5475116Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents[3] == 0'],
2022-11-23T02:04:39.5475280Z                 'obj_weakref': None
2022-11-23T02:04:39.5475592Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.5475688Z             }
2022-11-23T02:04:39.5475783Z             
2022-11-23T02:04:39.5475889Z  - 
2022-11-23T02:04:39.5476053Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.5476210Z             {
2022-11-23T02:04:39.5476390Z                 'guard_types': None,
2022-11-23T02:04:39.5476543Z                 'code': None,
2022-11-23T02:04:39.5476709Z                 'obj_weakref': None
2022-11-23T02:04:39.5476882Z                 'guarded_class': None
2022-11-23T02:04:39.5476981Z             }
2022-11-23T02:04:39.5477057Z             
2022-11-23T02:04:39.5477412Z [2022-11-23 01:57:55,255] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 262
2022-11-23T02:04:39.5477913Z [2022-11-23 01:57:57,830] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nu/cnucweysyf3eqxak3tckqlbrg4qmxlqoymakww7izxyssr6akq7r.py
2022-11-23T02:04:39.5478306Z [2022-11-23 01:57:57,831] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 262
2022-11-23T02:04:39.5478599Z [2022-11-23 01:57:57,836] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5479023Z [2022-11-23 01:57:57,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5479322Z [2022-11-23 01:57:57,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5479668Z [2022-11-23 01:57:57,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5480049Z [2022-11-23 01:57:57,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5480460Z [2022-11-23 01:57:57,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5480936Z [2022-11-23 01:57:57,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5481375Z [2022-11-23 01:57:57,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5481880Z [2022-11-23 01:57:57,838] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f887c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039> 
2022-11-23T02:04:39.5482023Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.5482194Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T02:04:39.5482340Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T02:04:39.5482473Z                6 LOAD_FAST                1 (x)
2022-11-23T02:04:39.5482615Z                8 LOAD_DEREF               0 (padding)
2022-11-23T02:04:39.5482803Z               10 CALL_METHOD              3
2022-11-23T02:04:39.5482918Z               12 RETURN_VALUE
2022-11-23T02:04:39.5483012Z  
2022-11-23T02:04:39.5483037Z 
2022-11-23T02:04:39.5483470Z [2022-11-23 01:57:57,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040
2022-11-23T02:04:39.5483768Z [2022-11-23 01:57:57,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.5484224Z [2022-11-23 01:57:57,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5484630Z [2022-11-23 01:57:57,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T02:04:39.5485059Z [2022-11-23 01:57:57,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T02:04:39.5485545Z [2022-11-23 01:57:57,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5486225Z [2022-11-23 01:57:57,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.5486557Z [2022-11-23 01:57:57,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.5487071Z [2022-11-23 01:57:57,849] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f887c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039>
2022-11-23T02:04:39.5487401Z [2022-11-23 01:57:57,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.5487722Z [2022-11-23 01:57:57,849] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5488073Z [2022-11-23 01:57:57,851] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5488413Z [2022-11-23 01:57:57,856] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5488677Z [2022-11-23 01:57:57,857] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5488867Z  __compiled_fn_270 <eval_with_key>.2097 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5488999Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5489106Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.5489344Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [1, 1, 1, 1]), {}
2022-11-23T02:04:39.5489524Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T02:04:39.5489545Z 
2022-11-23T02:04:39.5489982Z [2022-11-23 01:57:57,857] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5490130Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5490262Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5490397Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5490533Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5490639Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5490768Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5490882Z              12 RETURN_VALUE
2022-11-23T02:04:39.5490901Z 
2022-11-23T02:04:39.5490993Z  
2022-11-23T02:04:39.5491426Z [2022-11-23 01:57:57,858] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5491584Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_270)
2022-11-23T02:04:39.5491716Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5491923Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5492019Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5492149Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5492279Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5492396Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.5492525Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.5492677Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.5492861Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:39.5492981Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:39.5493110Z              22 CALL_FUNCTION            0
2022-11-23T02:04:39.5493251Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:39.5493399Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5493528Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5493647Z              30 BINARY_SUBSCR
2022-11-23T02:04:39.5493784Z              32 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5493908Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:39.5494037Z              36 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5494204Z              38 BINARY_SUBSCR
2022-11-23T02:04:39.5494360Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:39.5494495Z              42 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5494636Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:39.5494773Z              46 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5494866Z              48 BINARY_SUBSCR
2022-11-23T02:04:39.5495016Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:39.5495129Z              52 RETURN_VALUE
2022-11-23T02:04:39.5495149Z 
2022-11-23T02:04:39.5495240Z  
2022-11-23T02:04:39.5495510Z [2022-11-23 01:57:57,860] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5495623Z  - 
2022-11-23T02:04:39.5495791Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5495871Z             {
2022-11-23T02:04:39.5496511Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5496978Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.5497257Z                 'obj_weakref': None
2022-11-23T02:04:39.5497776Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5497935Z             }
2022-11-23T02:04:39.5498084Z             
2022-11-23T02:04:39.5498213Z  - 
2022-11-23T02:04:39.5498375Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5498471Z             {
2022-11-23T02:04:39.5498677Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5498831Z                 'code': None,
2022-11-23T02:04:39.5499120Z                 'obj_weakref': <weakref at 0x7fa51c5102c0; to 'Tensor' at 0x7fa51c274310>
2022-11-23T02:04:39.5499472Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5499569Z             }
2022-11-23T02:04:39.5499645Z             
2022-11-23T02:04:39.5499753Z  - 
2022-11-23T02:04:39.5499933Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.5500032Z             {
2022-11-23T02:04:39.5500233Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5500386Z                 'code': None,
2022-11-23T02:04:39.5500678Z                 'obj_weakref': <weakref at 0x7fa51c5137e0; to 'Tensor' at 0x7fa51c200ae0>
2022-11-23T02:04:39.5501003Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5501102Z             }
2022-11-23T02:04:39.5501200Z             
2022-11-23T02:04:39.5501307Z  - 
2022-11-23T02:04:39.5501491Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5501587Z             {
2022-11-23T02:04:39.5501977Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5502192Z                 'code': ['___check_obj_id(model, 140347119649840)'],
2022-11-23T02:04:39.5502362Z                 'obj_weakref': None
2022-11-23T02:04:39.5502678Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5502778Z             }
2022-11-23T02:04:39.5502874Z             
2022-11-23T02:04:39.5502982Z  - 
2022-11-23T02:04:39.5503154Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5503232Z             {
2022-11-23T02:04:39.5503419Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5503711Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5503881Z                 'obj_weakref': None
2022-11-23T02:04:39.5504185Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5504282Z             }
2022-11-23T02:04:39.5504384Z             
2022-11-23T02:04:39.5504473Z  - 
2022-11-23T02:04:39.5504716Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:39.5504811Z             {
2022-11-23T02:04:39.5505044Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:39.5506143Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents == [1, 1, 1, 1]'],
2022-11-23T02:04:39.5506332Z                 'obj_weakref': None
2022-11-23T02:04:39.5506635Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:39.5506736Z             }
2022-11-23T02:04:39.5506812Z             
2022-11-23T02:04:39.5506921Z  - 
2022-11-23T02:04:39.5507174Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:39.5507274Z             {
2022-11-23T02:04:39.5507476Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.5507857Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T02:04:39.5508027Z                 'obj_weakref': None
2022-11-23T02:04:39.5508331Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.5508408Z             }
2022-11-23T02:04:39.5508504Z             
2022-11-23T02:04:39.5508611Z  - 
2022-11-23T02:04:39.5508862Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:39.5508958Z             {
2022-11-23T02:04:39.5509162Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.5509542Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T02:04:39.5509696Z                 'obj_weakref': None
2022-11-23T02:04:39.5509994Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.5510091Z             }
2022-11-23T02:04:39.5510187Z             
2022-11-23T02:04:39.5510291Z  - 
2022-11-23T02:04:39.5510542Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:39.5510638Z             {
2022-11-23T02:04:39.5510816Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.5511182Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T02:04:39.5511348Z                 'obj_weakref': None
2022-11-23T02:04:39.5511638Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.5511794Z             }
2022-11-23T02:04:39.5511889Z             
2022-11-23T02:04:39.5511996Z  - 
2022-11-23T02:04:39.5512225Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T02:04:39.5512323Z             {
2022-11-23T02:04:39.5512518Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.5512897Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T02:04:39.5513066Z                 'obj_weakref': None
2022-11-23T02:04:39.5513365Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.5513464Z             }
2022-11-23T02:04:39.5513542Z             
2022-11-23T02:04:39.5513650Z  - 
2022-11-23T02:04:39.5513830Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.5513926Z             {
2022-11-23T02:04:39.5514103Z                 'guard_types': None,
2022-11-23T02:04:39.5514257Z                 'code': None,
2022-11-23T02:04:39.5514424Z                 'obj_weakref': None
2022-11-23T02:04:39.5514578Z                 'guarded_class': None
2022-11-23T02:04:39.5514676Z             }
2022-11-23T02:04:39.5514822Z             
2022-11-23T02:04:39.5515189Z [2022-11-23 01:57:57,869] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 263
2022-11-23T02:04:39.5515679Z [2022-11-23 01:58:00,559] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wn/cwnwtg6up6egdhbfgrfrm2waeehsndxvmwrn5zby2ys2h2mhvdoo.py
2022-11-23T02:04:39.5516037Z [2022-11-23 01:58:00,560] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 263
2022-11-23T02:04:39.5516361Z [2022-11-23 01:58:00,565] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5516785Z [2022-11-23 01:58:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5517063Z [2022-11-23 01:58:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5517406Z [2022-11-23 01:58:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5517778Z [2022-11-23 01:58:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5518208Z [2022-11-23 01:58:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5518666Z [2022-11-23 01:58:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5519096Z [2022-11-23 01:58:00,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5519595Z [2022-11-23 01:58:00,567] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f887c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039> 
2022-11-23T02:04:39.5519741Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.5519917Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T02:04:39.5520062Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T02:04:39.5520176Z                6 LOAD_FAST                1 (x)
2022-11-23T02:04:39.5520317Z                8 LOAD_DEREF               0 (padding)
2022-11-23T02:04:39.5520450Z               10 CALL_METHOD              3
2022-11-23T02:04:39.5520562Z               12 RETURN_VALUE
2022-11-23T02:04:39.5520658Z  
2022-11-23T02:04:39.5520685Z 
2022-11-23T02:04:39.5521113Z [2022-11-23 01:58:00,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040
2022-11-23T02:04:39.5521473Z [2022-11-23 01:58:00,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.5521929Z [2022-11-23 01:58:00,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5522312Z [2022-11-23 01:58:00,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T02:04:39.5522797Z [2022-11-23 01:58:00,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T02:04:39.5523279Z [2022-11-23 01:58:00,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5523774Z [2022-11-23 01:58:00,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.5524114Z [2022-11-23 01:58:00,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.5524679Z [2022-11-23 01:58:00,577] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f887c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039>
2022-11-23T02:04:39.5525020Z [2022-11-23 01:58:00,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.5525337Z [2022-11-23 01:58:00,577] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5525684Z [2022-11-23 01:58:00,579] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5526022Z [2022-11-23 01:58:00,584] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5526289Z [2022-11-23 01:58:00,585] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5526460Z  __compiled_fn_271 <eval_with_key>.2103 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5526593Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5526725Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.5526962Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [1, 2, 3, 4]), {}
2022-11-23T02:04:39.5527143Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T02:04:39.5527164Z 
2022-11-23T02:04:39.5527600Z [2022-11-23 01:58:00,585] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5527739Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5527874Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5527985Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5528127Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5528248Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5528379Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5528492Z              12 RETURN_VALUE
2022-11-23T02:04:39.5528512Z 
2022-11-23T02:04:39.5528610Z  
2022-11-23T02:04:39.5529041Z [2022-11-23 01:58:00,586] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5529199Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_271)
2022-11-23T02:04:39.5529313Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5529445Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5529559Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5529687Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5529814Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5529926Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.5530189Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.5530319Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.5530504Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:39.5530648Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:39.5530775Z              22 CALL_FUNCTION            0
2022-11-23T02:04:39.5530913Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:39.5531058Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5531189Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5531285Z              30 BINARY_SUBSCR
2022-11-23T02:04:39.5531419Z              32 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5531563Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:39.5531691Z              36 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5531804Z              38 BINARY_SUBSCR
2022-11-23T02:04:39.5531955Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:39.5532090Z              42 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5532210Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:39.5532420Z              46 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5532540Z              48 BINARY_SUBSCR
2022-11-23T02:04:39.5532685Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:39.5532800Z              52 RETURN_VALUE
2022-11-23T02:04:39.5532820Z 
2022-11-23T02:04:39.5532911Z  
2022-11-23T02:04:39.5533179Z [2022-11-23 01:58:00,588] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5533286Z  - 
2022-11-23T02:04:39.5533434Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5533531Z             {
2022-11-23T02:04:39.5533728Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5533981Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.5534217Z                 'obj_weakref': None
2022-11-23T02:04:39.5534524Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5534621Z             }
2022-11-23T02:04:39.5534697Z             
2022-11-23T02:04:39.5534806Z  - 
2022-11-23T02:04:39.5534985Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5535078Z             {
2022-11-23T02:04:39.5535278Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5535431Z                 'code': None,
2022-11-23T02:04:39.5535721Z                 'obj_weakref': <weakref at 0x7fa55041e160; to 'Tensor' at 0x7fa61a8da9d0>
2022-11-23T02:04:39.5536522Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5536695Z             }
2022-11-23T02:04:39.5536862Z             
2022-11-23T02:04:39.5537035Z  - 
2022-11-23T02:04:39.5537335Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.5537500Z             {
2022-11-23T02:04:39.5537849Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5538045Z                 'code': None,
2022-11-23T02:04:39.5538336Z                 'obj_weakref': <weakref at 0x7fa51c4dbdd0; to 'Tensor' at 0x7fa51c274310>
2022-11-23T02:04:39.5538680Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5538777Z             }
2022-11-23T02:04:39.5538871Z             
2022-11-23T02:04:39.5538978Z  - 
2022-11-23T02:04:39.5539161Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5539240Z             {
2022-11-23T02:04:39.5539427Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5539660Z                 'code': ['___check_obj_id(model, 140347117814112)'],
2022-11-23T02:04:39.5539830Z                 'obj_weakref': None
2022-11-23T02:04:39.5540143Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5540387Z             }
2022-11-23T02:04:39.5540483Z             
2022-11-23T02:04:39.5540574Z  - 
2022-11-23T02:04:39.5540749Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5540845Z             {
2022-11-23T02:04:39.5541041Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5541336Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5541505Z                 'obj_weakref': None
2022-11-23T02:04:39.5541804Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5541883Z             }
2022-11-23T02:04:39.5541978Z             
2022-11-23T02:04:39.5542081Z  - 
2022-11-23T02:04:39.5542324Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:39.5542420Z             {
2022-11-23T02:04:39.5542654Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:39.5543677Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents == [1, 2, 3, 4]'],
2022-11-23T02:04:39.5543862Z                 'obj_weakref': None
2022-11-23T02:04:39.5544146Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:39.5544244Z             }
2022-11-23T02:04:39.5544339Z             
2022-11-23T02:04:39.5544445Z  - 
2022-11-23T02:04:39.5544694Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:39.5544788Z             {
2022-11-23T02:04:39.5544987Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.5545350Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T02:04:39.5545517Z                 'obj_weakref': None
2022-11-23T02:04:39.5545822Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.5545918Z             }
2022-11-23T02:04:39.5546009Z             
2022-11-23T02:04:39.5546115Z  - 
2022-11-23T02:04:39.5546367Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:39.5546444Z             {
2022-11-23T02:04:39.5546642Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.5547018Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T02:04:39.5547185Z                 'obj_weakref': None
2022-11-23T02:04:39.5547484Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.5547581Z             }
2022-11-23T02:04:39.5547675Z             
2022-11-23T02:04:39.5547778Z  - 
2022-11-23T02:04:39.5548011Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:39.5548116Z             {
2022-11-23T02:04:39.5548314Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.5548686Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 3'],
2022-11-23T02:04:39.5548855Z                 'obj_weakref': None
2022-11-23T02:04:39.5549148Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.5549243Z             }
2022-11-23T02:04:39.5549379Z             
2022-11-23T02:04:39.5549552Z  - 
2022-11-23T02:04:39.5549802Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T02:04:39.5549896Z             {
2022-11-23T02:04:39.5550156Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.5550528Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents[3] == 4'],
2022-11-23T02:04:39.5550699Z                 'obj_weakref': None
2022-11-23T02:04:39.5550981Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.5551077Z             }
2022-11-23T02:04:39.5551171Z             
2022-11-23T02:04:39.5551276Z  - 
2022-11-23T02:04:39.5551463Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.5551557Z             {
2022-11-23T02:04:39.5551728Z                 'guard_types': None,
2022-11-23T02:04:39.5551863Z                 'code': None,
2022-11-23T02:04:39.5552023Z                 'obj_weakref': None
2022-11-23T02:04:39.5552192Z                 'guarded_class': None
2022-11-23T02:04:39.5552285Z             }
2022-11-23T02:04:39.5552378Z             
2022-11-23T02:04:39.5552734Z [2022-11-23 01:58:00,597] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 264
2022-11-23T02:04:39.5552756Z 
2022-11-23T02:04:39.5552895Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5552980Z import torch
2022-11-23T02:04:39.5553082Z import random
2022-11-23T02:04:39.5553304Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5553483Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5553502Z 
2022-11-23T02:04:39.5553620Z aten = torch.ops.aten
2022-11-23T02:04:39.5553808Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5553944Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5553963Z 
2022-11-23T02:04:39.5553982Z 
2022-11-23T02:04:39.5554175Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5554439Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5554606Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5554753Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.5554846Z {
2022-11-23T02:04:39.5554990Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.5555084Z     {
2022-11-23T02:04:39.5555200Z         #pragma omp for 
2022-11-23T02:04:39.5555304Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.5555403Z         {
2022-11-23T02:04:39.5555522Z             #pragma GCC ivdep
2022-11-23T02:04:39.5555643Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:39.5555739Z             {
2022-11-23T02:04:39.5555838Z                 {
2022-11-23T02:04:39.5555938Z                     {
2022-11-23T02:04:39.5556069Z                         auto tmp0 = static_cast<int>(i0);
2022-11-23T02:04:39.5556217Z                         auto tmp1 = static_cast<int>(i1);
2022-11-23T02:04:39.5556369Z                         auto tmp2 = in_ptr0[tmp1 + (8*tmp0)];
2022-11-23T02:04:39.5556512Z                         out_ptr0[i1 + (8*i0)] = tmp2;
2022-11-23T02:04:39.5556618Z                     }
2022-11-23T02:04:39.5556715Z                 }
2022-11-23T02:04:39.5556810Z             }
2022-11-23T02:04:39.5556887Z         }
2022-11-23T02:04:39.5556982Z     }
2022-11-23T02:04:39.5557079Z }
2022-11-23T02:04:39.5557207Z ''')
2022-11-23T02:04:39.5557227Z 
2022-11-23T02:04:39.5557250Z 
2022-11-23T02:04:39.5557387Z async_compile.wait(globals())
2022-11-23T02:04:39.5557499Z del async_compile
2022-11-23T02:04:39.5557518Z 
2022-11-23T02:04:39.5557624Z def call(args):
2022-11-23T02:04:39.5557717Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.5557825Z     args.clear()
2022-11-23T02:04:39.5558120Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5558319Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.5558420Z     del arg0_1
2022-11-23T02:04:39.5558529Z     return (buf0, )
2022-11-23T02:04:39.5558549Z 
2022-11-23T02:04:39.5558567Z 
2022-11-23T02:04:39.5558681Z if __name__ == "__main__":
2022-11-23T02:04:39.5558909Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5559065Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5559361Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5559652Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5559818Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.5559837Z 
2022-11-23T02:04:39.5559856Z 
2022-11-23T02:04:39.5559993Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5560101Z import torch
2022-11-23T02:04:39.5560207Z import random
2022-11-23T02:04:39.5560373Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5560524Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5560544Z 
2022-11-23T02:04:39.5560662Z aten = torch.ops.aten
2022-11-23T02:04:39.5560849Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5560992Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5561012Z 
2022-11-23T02:04:39.5561030Z 
2022-11-23T02:04:39.5561224Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5561561Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5561736Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5561881Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.5561955Z {
2022-11-23T02:04:39.5562096Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.5562191Z     {
2022-11-23T02:04:39.5562304Z         #pragma omp for 
2022-11-23T02:04:39.5562427Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.5562528Z         {
2022-11-23T02:04:39.5562650Z             #pragma GCC ivdep
2022-11-23T02:04:39.5562753Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:39.5562848Z             {
2022-11-23T02:04:39.5562947Z                 {
2022-11-23T02:04:39.5563053Z                     {
2022-11-23T02:04:39.5563211Z                         auto tmp0 = static_cast<int>(1 + i0);
2022-11-23T02:04:39.5563365Z                         auto tmp1 = static_cast<int>(1 + i1);
2022-11-23T02:04:39.5563505Z                         auto tmp2 = in_ptr0[tmp1 + (10*tmp0)];
2022-11-23T02:04:39.5563657Z                         auto tmp3 = static_cast<int>(i1);
2022-11-23T02:04:39.5563791Z                         auto tmp4 = tmp3 >= 1;
2022-11-23T02:04:39.5563925Z                         auto tmp5 = tmp3 <= 1;
2022-11-23T02:04:39.5564061Z                         auto tmp6 = tmp4 & tmp5;
2022-11-23T02:04:39.5564191Z                         float tmp7 = 0.0;
2022-11-23T02:04:39.5564304Z                         if(tmp6)
2022-11-23T02:04:39.5564409Z                         {
2022-11-23T02:04:39.5564546Z                             auto tmp8 = static_cast<int>(1 + i0);
2022-11-23T02:04:39.5564804Z                             auto tmp9 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T02:04:39.5564971Z                             auto tmp10 = in_ptr0[tmp9 + (10*tmp8)];
2022-11-23T02:04:39.5565092Z                             tmp7 = tmp10;
2022-11-23T02:04:39.5565197Z                         }
2022-11-23T02:04:39.5565336Z                         auto tmp11 = tmp2 + tmp7;
2022-11-23T02:04:39.5565475Z                         auto tmp12 = tmp3 >= 6;
2022-11-23T02:04:39.5565591Z                         auto tmp13 = tmp3 <= 6;
2022-11-23T02:04:39.5565727Z                         auto tmp14 = tmp12 & tmp13;
2022-11-23T02:04:39.5565854Z                         float tmp15 = 0.0;
2022-11-23T02:04:39.5565968Z                         if(tmp14)
2022-11-23T02:04:39.5566070Z                         {
2022-11-23T02:04:39.5566226Z                             auto tmp16 = static_cast<int>(1 + i0);
2022-11-23T02:04:39.5566476Z                             auto tmp17 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T02:04:39.5566618Z                             auto tmp18 = in_ptr0[tmp17 + (10*tmp16)];
2022-11-23T02:04:39.5566800Z                             tmp15 = tmp18;
2022-11-23T02:04:39.5566901Z                         }
2022-11-23T02:04:39.5567042Z                         auto tmp19 = tmp11 + tmp15;
2022-11-23T02:04:39.5567193Z                         auto tmp20 = static_cast<int>(i0);
2022-11-23T02:04:39.5567333Z                         auto tmp21 = tmp20 >= 1;
2022-11-23T02:04:39.5567472Z                         auto tmp22 = tmp20 <= 1;
2022-11-23T02:04:39.5567590Z                         auto tmp23 = tmp21 & tmp22;
2022-11-23T02:04:39.5567716Z                         float tmp24 = 0.0;
2022-11-23T02:04:39.5567827Z                         if(tmp23)
2022-11-23T02:04:39.5567933Z                         {
2022-11-23T02:04:39.5568180Z                             auto tmp25 = static_cast<int>(1 + ((-1)*i0));
2022-11-23T02:04:39.5568338Z                             auto tmp26 = static_cast<int>(1 + i1);
2022-11-23T02:04:39.5568496Z                             auto tmp27 = in_ptr0[tmp26 + (10*tmp25)];
2022-11-23T02:04:39.5568622Z                             tmp24 = tmp27;
2022-11-23T02:04:39.5568706Z                         }
2022-11-23T02:04:39.5568845Z                         auto tmp28 = tmp19 + tmp24;
2022-11-23T02:04:39.5568981Z                         auto tmp29 = tmp20 >= 6;
2022-11-23T02:04:39.5569165Z                         auto tmp30 = tmp20 <= 6;
2022-11-23T02:04:39.5569310Z                         auto tmp31 = tmp29 & tmp30;
2022-11-23T02:04:39.5569435Z                         float tmp32 = 0.0;
2022-11-23T02:04:39.5569548Z                         if(tmp31)
2022-11-23T02:04:39.5569631Z                         {
2022-11-23T02:04:39.5569879Z                             auto tmp33 = static_cast<int>(15 + ((-1)*i0));
2022-11-23T02:04:39.5570035Z                             auto tmp34 = static_cast<int>(1 + i1);
2022-11-23T02:04:39.5570191Z                             auto tmp35 = in_ptr0[tmp34 + (10*tmp33)];
2022-11-23T02:04:39.5570313Z                             tmp32 = tmp35;
2022-11-23T02:04:39.5570418Z                         }
2022-11-23T02:04:39.5570560Z                         auto tmp36 = tmp28 + tmp32;
2022-11-23T02:04:39.5570677Z                         auto tmp37 = tmp23 & tmp6;
2022-11-23T02:04:39.5570802Z                         float tmp38 = 0.0;
2022-11-23T02:04:39.5570916Z                         if(tmp37)
2022-11-23T02:04:39.5571017Z                         {
2022-11-23T02:04:39.5571262Z                             auto tmp39 = static_cast<int>(1 + ((-1)*i0));
2022-11-23T02:04:39.5571504Z                             auto tmp40 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T02:04:39.5571669Z                             auto tmp41 = in_ptr0[tmp40 + (10*tmp39)];
2022-11-23T02:04:39.5571791Z                             tmp38 = tmp41;
2022-11-23T02:04:39.5571874Z                         }
2022-11-23T02:04:39.5572012Z                         auto tmp42 = tmp36 + tmp38;
2022-11-23T02:04:39.5572148Z                         auto tmp43 = tmp23 & tmp14;
2022-11-23T02:04:39.5572275Z                         float tmp44 = 0.0;
2022-11-23T02:04:39.5572390Z                         if(tmp43)
2022-11-23T02:04:39.5572491Z                         {
2022-11-23T02:04:39.5572741Z                             auto tmp45 = static_cast<int>(1 + ((-1)*i0));
2022-11-23T02:04:39.5572970Z                             auto tmp46 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T02:04:39.5573127Z                             auto tmp47 = in_ptr0[tmp46 + (10*tmp45)];
2022-11-23T02:04:39.5573247Z                             tmp44 = tmp47;
2022-11-23T02:04:39.5573352Z                         }
2022-11-23T02:04:39.5573490Z                         auto tmp48 = tmp42 + tmp44;
2022-11-23T02:04:39.5573622Z                         auto tmp49 = tmp31 & tmp6;
2022-11-23T02:04:39.5573748Z                         float tmp50 = 0.0;
2022-11-23T02:04:39.5573840Z                         if(tmp49)
2022-11-23T02:04:39.5573944Z                         {
2022-11-23T02:04:39.5574192Z                             auto tmp51 = static_cast<int>(15 + ((-1)*i0));
2022-11-23T02:04:39.5574505Z                             auto tmp52 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T02:04:39.5574661Z                             auto tmp53 = in_ptr0[tmp52 + (10*tmp51)];
2022-11-23T02:04:39.5574780Z                             tmp50 = tmp53;
2022-11-23T02:04:39.5574886Z                         }
2022-11-23T02:04:39.5575004Z                         auto tmp54 = tmp48 + tmp50;
2022-11-23T02:04:39.5575159Z                         auto tmp55 = tmp31 & tmp14;
2022-11-23T02:04:39.5575270Z                         float tmp56 = 0.0;
2022-11-23T02:04:39.5575383Z                         if(tmp55)
2022-11-23T02:04:39.5575484Z                         {
2022-11-23T02:04:39.5575730Z                             auto tmp57 = static_cast<int>(15 + ((-1)*i0));
2022-11-23T02:04:39.5575972Z                             auto tmp58 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T02:04:39.5576626Z                             auto tmp59 = in_ptr0[tmp58 + (10*tmp57)];
2022-11-23T02:04:39.5576806Z                             tmp56 = tmp59;
2022-11-23T02:04:39.5576980Z                         }
2022-11-23T02:04:39.5577211Z                         auto tmp60 = tmp54 + tmp56;
2022-11-23T02:04:39.5577439Z                         out_ptr0[i1 + (8*i0)] = tmp60;
2022-11-23T02:04:39.5577786Z                     }
2022-11-23T02:04:39.5577956Z                 }
2022-11-23T02:04:39.5578082Z             }
2022-11-23T02:04:39.5578238Z         }
2022-11-23T02:04:39.5578350Z     }
2022-11-23T02:04:39.5578443Z }
2022-11-23T02:04:39.5578584Z ''')
2022-11-23T02:04:39.5578607Z 
2022-11-23T02:04:39.5578625Z 
2022-11-23T02:04:39.5578762Z async_compile.wait(globals())
2022-11-23T02:04:39.5578870Z del async_compile
2022-11-23T02:04:39.5578889Z 
2022-11-23T02:04:39.5578996Z def call(args):
2022-11-23T02:04:39.5579090Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.5579196Z     args.clear()
2022-11-23T02:04:39.5579495Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5579689Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.5579790Z     del arg0_1
2022-11-23T02:04:39.5579897Z     return (buf0, )
2022-11-23T02:04:39.5579916Z 
2022-11-23T02:04:39.5579935Z 
2022-11-23T02:04:39.5580050Z if __name__ == "__main__":
2022-11-23T02:04:39.5580195Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5580371Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5580672Z     arg0_1 = rand_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5580963Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5581125Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.5581144Z 
2022-11-23T02:04:39.5581641Z [2022-11-23 01:58:03,331] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/r2/cr2wf5r4bk3dswenbki7yeoihwosuwqkxpbnbuxkr47lzbwhxlqr.py
2022-11-23T02:04:39.5582004Z [2022-11-23 01:58:03,331] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 264
2022-11-23T02:04:39.5582027Z 
2022-11-23T02:04:39.5582166Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5582272Z import torch
2022-11-23T02:04:39.5582361Z import random
2022-11-23T02:04:39.5582527Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5582698Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5582720Z 
2022-11-23T02:04:39.5582838Z aten = torch.ops.aten
2022-11-23T02:04:39.5583025Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5583160Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5583180Z 
2022-11-23T02:04:39.5583198Z 
2022-11-23T02:04:39.5583389Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5583670Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5583821Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5584081Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.5584176Z {
2022-11-23T02:04:39.5584319Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.5584412Z     {
2022-11-23T02:04:39.5584529Z         #pragma omp for 
2022-11-23T02:04:39.5584654Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.5584731Z         {
2022-11-23T02:04:39.5584850Z             #pragma GCC ivdep
2022-11-23T02:04:39.5584973Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:39.5585069Z             {
2022-11-23T02:04:39.5585166Z                 {
2022-11-23T02:04:39.5585267Z                     {
2022-11-23T02:04:39.5585402Z                         auto tmp0 = static_cast<int>(3 + i0);
2022-11-23T02:04:39.5585560Z                         auto tmp1 = static_cast<int>(1 + i1);
2022-11-23T02:04:39.5585766Z                         auto tmp2 = in_ptr0[tmp1 + (11*tmp0)];
2022-11-23T02:04:39.5585919Z                         auto tmp3 = static_cast<int>(i1);
2022-11-23T02:04:39.5586057Z                         auto tmp4 = tmp3 >= 1;
2022-11-23T02:04:39.5586191Z                         auto tmp5 = tmp3 <= 1;
2022-11-23T02:04:39.5586326Z                         auto tmp6 = tmp4 & tmp5;
2022-11-23T02:04:39.5586454Z                         float tmp7 = 0.0;
2022-11-23T02:04:39.5586601Z                         if(tmp6)
2022-11-23T02:04:39.5586709Z                         {
2022-11-23T02:04:39.5586867Z                             auto tmp8 = static_cast<int>(3 + i0);
2022-11-23T02:04:39.5587115Z                             auto tmp9 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T02:04:39.5587276Z                             auto tmp10 = in_ptr0[tmp9 + (11*tmp8)];
2022-11-23T02:04:39.5587404Z                             tmp7 = tmp10;
2022-11-23T02:04:39.5587506Z                         }
2022-11-23T02:04:39.5587624Z                         auto tmp11 = tmp2 + tmp7;
2022-11-23T02:04:39.5587759Z                         auto tmp12 = tmp3 >= 5;
2022-11-23T02:04:39.5587892Z                         auto tmp13 = tmp3 <= 6;
2022-11-23T02:04:39.5588037Z                         auto tmp14 = tmp12 & tmp13;
2022-11-23T02:04:39.5588163Z                         float tmp15 = 0.0;
2022-11-23T02:04:39.5588279Z                         if(tmp14)
2022-11-23T02:04:39.5588379Z                         {
2022-11-23T02:04:39.5588519Z                             auto tmp16 = static_cast<int>(3 + i0);
2022-11-23T02:04:39.5588767Z                             auto tmp17 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T02:04:39.5588923Z                             auto tmp18 = in_ptr0[tmp17 + (11*tmp16)];
2022-11-23T02:04:39.5589043Z                             tmp15 = tmp18;
2022-11-23T02:04:39.5589143Z                         }
2022-11-23T02:04:39.5589278Z                         auto tmp19 = tmp11 + tmp15;
2022-11-23T02:04:39.5589430Z                         auto tmp20 = static_cast<int>(i0);
2022-11-23T02:04:39.5589564Z                         auto tmp21 = tmp20 >= 1;
2022-11-23T02:04:39.5589680Z                         auto tmp22 = tmp20 <= 3;
2022-11-23T02:04:39.5589820Z                         auto tmp23 = tmp21 & tmp22;
2022-11-23T02:04:39.5589944Z                         float tmp24 = 0.0;
2022-11-23T02:04:39.5590059Z                         if(tmp23)
2022-11-23T02:04:39.5590159Z                         {
2022-11-23T02:04:39.5590402Z                             auto tmp25 = static_cast<int>(3 + ((-1)*i0));
2022-11-23T02:04:39.5590562Z                             auto tmp26 = static_cast<int>(1 + i1);
2022-11-23T02:04:39.5590702Z                             auto tmp27 = in_ptr0[tmp26 + (11*tmp25)];
2022-11-23T02:04:39.5590823Z                             tmp24 = tmp27;
2022-11-23T02:04:39.5590923Z                         }
2022-11-23T02:04:39.5591060Z                         auto tmp28 = tmp19 + tmp24;
2022-11-23T02:04:39.5591190Z                         auto tmp29 = tmp20 >= 3;
2022-11-23T02:04:39.5591322Z                         auto tmp30 = tmp20 <= 6;
2022-11-23T02:04:39.5591455Z                         auto tmp31 = tmp29 & tmp30;
2022-11-23T02:04:39.5591642Z                         float tmp32 = 0.0;
2022-11-23T02:04:39.5591752Z                         if(tmp31)
2022-11-23T02:04:39.5591852Z                         {
2022-11-23T02:04:39.5592104Z                             auto tmp33 = static_cast<int>(17 + ((-1)*i0));
2022-11-23T02:04:39.5592263Z                             auto tmp34 = static_cast<int>(1 + i1);
2022-11-23T02:04:39.5592422Z                             auto tmp35 = in_ptr0[tmp34 + (11*tmp33)];
2022-11-23T02:04:39.5592543Z                             tmp32 = tmp35;
2022-11-23T02:04:39.5592627Z                         }
2022-11-23T02:04:39.5592766Z                         auto tmp36 = tmp28 + tmp32;
2022-11-23T02:04:39.5592901Z                         auto tmp37 = tmp23 & tmp6;
2022-11-23T02:04:39.5593027Z                         float tmp38 = 0.0;
2022-11-23T02:04:39.5593138Z                         if(tmp37)
2022-11-23T02:04:39.5593236Z                         {
2022-11-23T02:04:39.5593477Z                             auto tmp39 = static_cast<int>(3 + ((-1)*i0));
2022-11-23T02:04:39.5593703Z                             auto tmp40 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T02:04:39.5593865Z                             auto tmp41 = in_ptr0[tmp40 + (11*tmp39)];
2022-11-23T02:04:39.5594037Z                             tmp38 = tmp41;
2022-11-23T02:04:39.5594143Z                         }
2022-11-23T02:04:39.5594281Z                         auto tmp42 = tmp36 + tmp38;
2022-11-23T02:04:39.5594413Z                         auto tmp43 = tmp23 & tmp14;
2022-11-23T02:04:39.5594538Z                         float tmp44 = 0.0;
2022-11-23T02:04:39.5594651Z                         if(tmp43)
2022-11-23T02:04:39.5594733Z                         {
2022-11-23T02:04:39.5594977Z                             auto tmp45 = static_cast<int>(3 + ((-1)*i0));
2022-11-23T02:04:39.5595218Z                             auto tmp46 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T02:04:39.5595376Z                             auto tmp47 = in_ptr0[tmp46 + (11*tmp45)];
2022-11-23T02:04:39.5595506Z                             tmp44 = tmp47;
2022-11-23T02:04:39.5595607Z                         }
2022-11-23T02:04:39.5595744Z                         auto tmp48 = tmp42 + tmp44;
2022-11-23T02:04:39.5595863Z                         auto tmp49 = tmp31 & tmp6;
2022-11-23T02:04:39.5595986Z                         float tmp50 = 0.0;
2022-11-23T02:04:39.5596098Z                         if(tmp49)
2022-11-23T02:04:39.5596208Z                         {
2022-11-23T02:04:39.5596455Z                             auto tmp51 = static_cast<int>(17 + ((-1)*i0));
2022-11-23T02:04:39.5596694Z                             auto tmp52 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T02:04:39.5596848Z                             auto tmp53 = in_ptr0[tmp52 + (11*tmp51)];
2022-11-23T02:04:39.5596949Z                             tmp50 = tmp53;
2022-11-23T02:04:39.5597049Z                         }
2022-11-23T02:04:39.5597183Z                         auto tmp54 = tmp48 + tmp50;
2022-11-23T02:04:39.5597319Z                         auto tmp55 = tmp31 & tmp14;
2022-11-23T02:04:39.5597441Z                         float tmp56 = 0.0;
2022-11-23T02:04:39.5597555Z                         if(tmp55)
2022-11-23T02:04:39.5597658Z                         {
2022-11-23T02:04:39.5597884Z                             auto tmp57 = static_cast<int>(17 + ((-1)*i0));
2022-11-23T02:04:39.5598125Z                             auto tmp58 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T02:04:39.5598509Z                             auto tmp59 = in_ptr0[tmp58 + (11*tmp57)];
2022-11-23T02:04:39.5598638Z                             tmp56 = tmp59;
2022-11-23T02:04:39.5598741Z                         }
2022-11-23T02:04:39.5598882Z                         auto tmp60 = tmp54 + tmp56;
2022-11-23T02:04:39.5599023Z                         out_ptr0[i1 + (8*i0)] = tmp60;
2022-11-23T02:04:39.5599125Z                     }
2022-11-23T02:04:39.5599203Z                 }
2022-11-23T02:04:39.5599301Z             }
2022-11-23T02:04:39.5599465Z         }
2022-11-23T02:04:39.5599561Z     }
2022-11-23T02:04:39.5599653Z }
2022-11-23T02:04:39.5599782Z ''')
2022-11-23T02:04:39.5599804Z 
2022-11-23T02:04:39.5599823Z 
2022-11-23T02:04:39.5599955Z async_compile.wait(globals())
2022-11-23T02:04:39.5600046Z del async_compile
2022-11-23T02:04:39.5600069Z 
2022-11-23T02:04:39.5600176Z def call(args):
2022-11-23T02:04:39.5600288Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.5600397Z     args.clear()
2022-11-23T02:04:39.5600691Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5600882Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.5600985Z     del arg0_1
2022-11-23T02:04:39.5601072Z     return (buf0, )
2022-11-23T02:04:39.5601091Z 
2022-11-23T02:04:39.5601109Z 
2022-11-23T02:04:39.5601221Z if __name__ == "__main__":
2022-11-23T02:04:39.5601383Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5601560Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5601867Z     arg0_1 = rand_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5602157Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5602370Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.5602395Z 
2022-11-23T02:04:39.5602501Z ok (8.115s)
2022-11-23T02:04:39.5602913Z   test_reflection_pad2d_cpu (__main__.CpuTests) ... [2022-11-23 01:58:03,337] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5603338Z [2022-11-23 01:58:03,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5603636Z [2022-11-23 01:58:03,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5603980Z [2022-11-23 01:58:03,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5604363Z [2022-11-23 01:58:03,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5604791Z [2022-11-23 01:58:03,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5605250Z [2022-11-23 01:58:03,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5605685Z [2022-11-23 01:58:03,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5606185Z [2022-11-23 01:58:03,339] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f88660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3027> 
2022-11-23T02:04:39.5606321Z  3029           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.5606463Z                2 LOAD_METHOD              1 (reflection_pad2d)
2022-11-23T02:04:39.5606598Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5606727Z                6 BUILD_LIST               0
2022-11-23T02:04:39.5606870Z                8 LOAD_CONST               1 ((1, 1, 1, 1))
2022-11-23T02:04:39.5607004Z               10 LIST_EXTEND              1
2022-11-23T02:04:39.5607135Z               12 CALL_METHOD              2
2022-11-23T02:04:39.5607154Z 
2022-11-23T02:04:39.5607292Z 3030          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.5607448Z               16 LOAD_METHOD              1 (reflection_pad2d)
2022-11-23T02:04:39.5607562Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5607688Z               20 BUILD_LIST               0
2022-11-23T02:04:39.5607827Z               22 LOAD_CONST               2 ((1, 2, 3, 4))
2022-11-23T02:04:39.5607954Z               24 LIST_EXTEND              1
2022-11-23T02:04:39.5608140Z               26 CALL_METHOD              2
2022-11-23T02:04:39.5608160Z 
2022-11-23T02:04:39.5608286Z 3028          28 BUILD_TUPLE              2
2022-11-23T02:04:39.5608401Z               30 RETURN_VALUE
2022-11-23T02:04:39.5608475Z  
2022-11-23T02:04:39.5608513Z 
2022-11-23T02:04:39.5608929Z [2022-11-23 01:58:03,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3029
2022-11-23T02:04:39.5609230Z [2022-11-23 01:58:03,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.5609668Z [2022-11-23 01:58:03,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5610036Z [2022-11-23 01:58:03,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.reflection_pad2d)]
2022-11-23T02:04:39.5610442Z [2022-11-23 01:58:03,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.reflection_pad2d), TensorVariable()]
2022-11-23T02:04:39.5610892Z [2022-11-23 01:58:03,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1, 1) [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.5611437Z [2022-11-23 01:58:03,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:39.5611883Z [2022-11-23 01:58:03,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.5612303Z [2022-11-23 01:58:03,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3030
2022-11-23T02:04:39.5612632Z [2022-11-23 01:58:03,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.5613087Z [2022-11-23 01:58:03,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5613490Z [2022-11-23 01:58:03,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.reflection_pad2d)]
2022-11-23T02:04:39.5613929Z [2022-11-23 01:58:03,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable()]
2022-11-23T02:04:39.5614408Z [2022-11-23 01:58:03,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.5614934Z [2022-11-23 01:58:03,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:39.5615411Z [2022-11-23 01:58:03,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.5615840Z [2022-11-23 01:58:03,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3028
2022-11-23T02:04:39.5616791Z [2022-11-23 01:58:03,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5617396Z [2022-11-23 01:58:03,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5618237Z [2022-11-23 01:58:03,361] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f88660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3027>
2022-11-23T02:04:39.5618588Z [2022-11-23 01:58:03,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5619079Z [2022-11-23 01:58:03,361] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5619406Z [2022-11-23 01:58:03,363] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5619753Z [2022-11-23 01:58:03,368] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5620015Z [2022-11-23 01:58:03,369] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5620204Z  __compiled_fn_272 <eval_with_key>.2109 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5620334Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5620534Z call_function, reflection_pad2d, aten.reflection_pad2d, (ex_0_, [1, 1, 1, 1]), {}
2022-11-23T02:04:39.5620738Z call_function, reflection_pad2d_1, aten.reflection_pad2d, (ex_0_, [1, 2, 3, 4]), {}
2022-11-23T02:04:39.5620930Z output, output, output, ((reflection_pad2d, reflection_pad2d_1),), {}
2022-11-23T02:04:39.5620950Z 
2022-11-23T02:04:39.5621375Z [2022-11-23 01:58:03,369] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5621510Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5621720Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5621855Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5621988Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5622114Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5622242Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5622354Z              12 RETURN_VALUE
2022-11-23T02:04:39.5622373Z 
2022-11-23T02:04:39.5622447Z  
2022-11-23T02:04:39.5622879Z [2022-11-23 01:58:03,369] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5623034Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_272)
2022-11-23T02:04:39.5623170Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5623301Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5623411Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5623538Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.5623670Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.5623818Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5623951Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5624064Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.5624210Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5624339Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5624453Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.5624579Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.5624673Z              26 RETURN_VALUE
2022-11-23T02:04:39.5624693Z 
2022-11-23T02:04:39.5624784Z  
2022-11-23T02:04:39.5625041Z [2022-11-23 01:58:03,371] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5625145Z  - 
2022-11-23T02:04:39.5625317Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5625415Z             {
2022-11-23T02:04:39.5625616Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5625855Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.5626027Z                 'obj_weakref': None
2022-11-23T02:04:39.5626336Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5626434Z             }
2022-11-23T02:04:39.5626529Z             
2022-11-23T02:04:39.5626637Z  - 
2022-11-23T02:04:39.5626811Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5626890Z             {
2022-11-23T02:04:39.5627088Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5627239Z                 'code': None,
2022-11-23T02:04:39.5627525Z                 'obj_weakref': <weakref at 0x7fa5504238d0; to 'Tensor' at 0x7fa51c274310>
2022-11-23T02:04:39.5627991Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5628088Z             }
2022-11-23T02:04:39.5628184Z             
2022-11-23T02:04:39.5628275Z  - 
2022-11-23T02:04:39.5628456Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5628552Z             {
2022-11-23T02:04:39.5628740Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5629098Z                 'code': ['___check_obj_id(model, 140347117828224)'],
2022-11-23T02:04:39.5629267Z                 'obj_weakref': None
2022-11-23T02:04:39.5629576Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5629655Z             }
2022-11-23T02:04:39.5629751Z             
2022-11-23T02:04:39.5629857Z  - 
2022-11-23T02:04:39.5630028Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5630128Z             {
2022-11-23T02:04:39.5630316Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5630607Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5630755Z                 'obj_weakref': None
2022-11-23T02:04:39.5631104Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5631205Z             }
2022-11-23T02:04:39.5631301Z             
2022-11-23T02:04:39.5631410Z  - 
2022-11-23T02:04:39.5631593Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.5631690Z             {
2022-11-23T02:04:39.5631843Z                 'guard_types': None,
2022-11-23T02:04:39.5631994Z                 'code': None,
2022-11-23T02:04:39.5632161Z                 'obj_weakref': None
2022-11-23T02:04:39.5632331Z                 'guarded_class': None
2022-11-23T02:04:39.5632426Z             }
2022-11-23T02:04:39.5632520Z             
2022-11-23T02:04:39.5632853Z [2022-11-23 01:58:03,379] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 265
2022-11-23T02:04:39.5633353Z [2022-11-23 01:58:06,033] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h3/ch3fkdgn7iqy3n46xdzb6mrxjiqem3imteuq24a2rbia4snou3sa.py
2022-11-23T02:04:39.5633723Z [2022-11-23 01:58:06,033] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 265
2022-11-23T02:04:39.5633744Z 
2022-11-23T02:04:39.5633879Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5633984Z import torch
2022-11-23T02:04:39.5634089Z import random
2022-11-23T02:04:39.5634253Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5634423Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5634442Z 
2022-11-23T02:04:39.5634558Z aten = torch.ops.aten
2022-11-23T02:04:39.5634726Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5634862Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5634885Z 
2022-11-23T02:04:39.5634904Z 
2022-11-23T02:04:39.5635097Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5635382Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5635557Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5635704Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.5635844Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.5635937Z {
2022-11-23T02:04:39.5636060Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.5636152Z     {
2022-11-23T02:04:39.5636284Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.5636403Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:39.5636496Z         {
2022-11-23T02:04:39.5636620Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:39.5636696Z             {
2022-11-23T02:04:39.5636797Z                 {
2022-11-23T02:04:39.5636898Z                     {
2022-11-23T02:04:39.5637121Z                         auto tmp0 = static_cast<int>(7);
2022-11-23T02:04:39.5637271Z                         auto tmp1 = static_cast<int>(i0);
2022-11-23T02:04:39.5637419Z                         auto tmp2 = static_cast<int>(1);
2022-11-23T02:04:39.5637627Z                         auto tmp3 = tmp1 - tmp2;
2022-11-23T02:04:39.5637787Z                         auto tmp4 = std::abs(tmp3);
2022-11-23T02:04:39.5637987Z                         auto tmp5 = tmp0 - tmp4;
2022-11-23T02:04:39.5638132Z                         auto tmp6 = std::abs(tmp5);
2022-11-23T02:04:39.5638331Z                         auto tmp7 = tmp0 - tmp6;
2022-11-23T02:04:39.5638483Z                         auto tmp8 = static_cast<int>(i1);
2022-11-23T02:04:39.5638680Z                         auto tmp9 = tmp8 - tmp2;
2022-11-23T02:04:39.5638827Z                         auto tmp10 = std::abs(tmp9);
2022-11-23T02:04:39.5639027Z                         auto tmp11 = tmp0 - tmp10;
2022-11-23T02:04:39.5639152Z                         auto tmp12 = std::abs(tmp11);
2022-11-23T02:04:39.5639353Z                         auto tmp13 = tmp0 - tmp12;
2022-11-23T02:04:39.5639509Z                         auto tmp14 = in_ptr0[tmp13 + (8*tmp7)];
2022-11-23T02:04:39.5639646Z                         out_ptr0[i1 + (10*i0)] = tmp14;
2022-11-23T02:04:39.5639805Z                     }
2022-11-23T02:04:39.5639911Z                 }
2022-11-23T02:04:39.5640008Z             }
2022-11-23T02:04:39.5640083Z         }
2022-11-23T02:04:39.5640216Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.5640336Z         for(long i0=0; i0<15; i0+=1)
2022-11-23T02:04:39.5640432Z         {
2022-11-23T02:04:39.5640553Z             for(long i1=0; i1<11; i1+=1)
2022-11-23T02:04:39.5640648Z             {
2022-11-23T02:04:39.5640746Z                 {
2022-11-23T02:04:39.5640826Z                     {
2022-11-23T02:04:39.5640971Z                         auto tmp0 = static_cast<int>(7);
2022-11-23T02:04:39.5641120Z                         auto tmp1 = static_cast<int>(i0);
2022-11-23T02:04:39.5641282Z                         auto tmp2 = static_cast<int>(3);
2022-11-23T02:04:39.5641485Z                         auto tmp3 = tmp1 - tmp2;
2022-11-23T02:04:39.5641634Z                         auto tmp4 = std::abs(tmp3);
2022-11-23T02:04:39.5641837Z                         auto tmp5 = tmp0 - tmp4;
2022-11-23T02:04:39.5641965Z                         auto tmp6 = std::abs(tmp5);
2022-11-23T02:04:39.5642162Z                         auto tmp7 = tmp0 - tmp6;
2022-11-23T02:04:39.5642313Z                         auto tmp8 = static_cast<int>(i1);
2022-11-23T02:04:39.5642460Z                         auto tmp9 = static_cast<int>(1);
2022-11-23T02:04:39.5642657Z                         auto tmp10 = tmp8 - tmp9;
2022-11-23T02:04:39.5642806Z                         auto tmp11 = std::abs(tmp10);
2022-11-23T02:04:39.5643007Z                         auto tmp12 = tmp0 - tmp11;
2022-11-23T02:04:39.5643132Z                         auto tmp13 = std::abs(tmp12);
2022-11-23T02:04:39.5643330Z                         auto tmp14 = tmp0 - tmp13;
2022-11-23T02:04:39.5643489Z                         auto tmp15 = in_ptr0[tmp14 + (8*tmp7)];
2022-11-23T02:04:39.5643628Z                         out_ptr1[i1 + (11*i0)] = tmp15;
2022-11-23T02:04:39.5643728Z                     }
2022-11-23T02:04:39.5643830Z                 }
2022-11-23T02:04:39.5643930Z             }
2022-11-23T02:04:39.5644006Z         }
2022-11-23T02:04:39.5644101Z     }
2022-11-23T02:04:39.5644192Z }
2022-11-23T02:04:39.5644313Z ''')
2022-11-23T02:04:39.5644334Z 
2022-11-23T02:04:39.5644352Z 
2022-11-23T02:04:39.5644486Z async_compile.wait(globals())
2022-11-23T02:04:39.5644597Z del async_compile
2022-11-23T02:04:39.5644616Z 
2022-11-23T02:04:39.5644722Z def call(args):
2022-11-23T02:04:39.5644831Z     arg0_1, = args
2022-11-23T02:04:39.5644920Z     args.clear()
2022-11-23T02:04:39.5645221Z     buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5645514Z     buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5645820Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.5645925Z     del arg0_1
2022-11-23T02:04:39.5646041Z     return (buf0, buf1, )
2022-11-23T02:04:39.5646061Z 
2022-11-23T02:04:39.5646084Z 
2022-11-23T02:04:39.5646198Z if __name__ == "__main__":
2022-11-23T02:04:39.5646344Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5646518Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5646809Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5646963Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.5646982Z 
2022-11-23T02:04:39.5647083Z ok (2.702s)
2022-11-23T02:04:39.5647486Z   test_relu_cpu (__main__.CpuTests) ... [2022-11-23 01:58:06,040] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5647910Z [2022-11-23 01:58:06,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5648213Z [2022-11-23 01:58:06,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5648607Z [2022-11-23 01:58:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5648970Z [2022-11-23 01:58:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5649399Z [2022-11-23 01:58:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5649858Z [2022-11-23 01:58:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5650292Z [2022-11-23 01:58:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5650808Z [2022-11-23 01:58:06,041] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115bc00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 994> 
2022-11-23T02:04:39.5650952Z  995           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5651089Z               2 LOAD_METHOD              1 (relu)
2022-11-23T02:04:39.5651222Z               4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5651355Z               6 CALL_METHOD              1
2022-11-23T02:04:39.5651471Z               8 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5651604Z              10 LOAD_METHOD              1 (relu)
2022-11-23T02:04:39.5651735Z              12 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5651863Z              14 LOAD_FAST                1 (b)
2022-11-23T02:04:39.5651972Z              16 BINARY_ADD
2022-11-23T02:04:39.5652102Z              18 CALL_METHOD              1
2022-11-23T02:04:39.5652240Z              20 LOAD_CONST               1 (10)
2022-11-23T02:04:39.5652342Z              22 BINARY_TRUE_DIVIDE
2022-11-23T02:04:39.5652473Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.5652587Z              26 RETURN_VALUE
2022-11-23T02:04:39.5652683Z  
2022-11-23T02:04:39.5652702Z 
2022-11-23T02:04:39.5653129Z [2022-11-23 01:58:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:995
2022-11-23T02:04:39.5653427Z [2022-11-23 01:58:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.5653917Z [2022-11-23 01:58:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5654348Z [2022-11-23 01:58:06,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method relu of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5654909Z [2022-11-23 01:58:06,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5655249Z [2022-11-23 01:58:06,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.5655761Z [2022-11-23 01:58:06,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5656841Z [2022-11-23 01:58:06,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5657648Z [2022-11-23 01:58:06,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5658209Z [2022-11-23 01:58:06,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5658869Z [2022-11-23 01:58:06,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5659240Z [2022-11-23 01:58:06,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5659664Z [2022-11-23 01:58:06,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5660023Z [2022-11-23 01:58:06,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5660352Z [2022-11-23 01:58:06,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5660860Z [2022-11-23 01:58:06,052] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115bc00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 994>
2022-11-23T02:04:39.5661192Z [2022-11-23 01:58:06,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5661494Z [2022-11-23 01:58:06,052] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5661843Z [2022-11-23 01:58:06,054] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5662179Z [2022-11-23 01:58:06,062] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5662441Z [2022-11-23 01:58:06,062] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5662633Z  __compiled_fn_273 <eval_with_key>.2115 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5662768Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5662892Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.5663204Z call_function, relu, <built-in method relu of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.5663433Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.5663739Z call_function, relu_1, <built-in method relu of type object at 0x7fa5855aec60>, (add,), {}
2022-11-23T02:04:39.5663997Z call_function, truediv, <built-in function truediv>, (relu_1, 10), {}
2022-11-23T02:04:39.5664155Z output, output, output, ((relu, truediv),), {}
2022-11-23T02:04:39.5664176Z 
2022-11-23T02:04:39.5664613Z [2022-11-23 01:58:06,063] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5664751Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5664999Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5665127Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5665265Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5665371Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5665506Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5665620Z              12 RETURN_VALUE
2022-11-23T02:04:39.5665640Z 
2022-11-23T02:04:39.5665733Z  
2022-11-23T02:04:39.5666171Z [2022-11-23 01:58:06,063] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5666328Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_273)
2022-11-23T02:04:39.5666465Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5666577Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5666694Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5666823Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5666957Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5667067Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.5667196Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.5667349Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.5667544Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5667683Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5667798Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.5667944Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5668074Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5668187Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.5668317Z              30 BUILD_TUPLE              2
2022-11-23T02:04:39.5668432Z              32 RETURN_VALUE
2022-11-23T02:04:39.5668453Z 
2022-11-23T02:04:39.5668526Z  
2022-11-23T02:04:39.5668788Z [2022-11-23 01:58:06,065] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5668904Z  - 
2022-11-23T02:04:39.5669073Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5669170Z             {
2022-11-23T02:04:39.5669367Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5669624Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.5669777Z                 'obj_weakref': None
2022-11-23T02:04:39.5670086Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5670185Z             }
2022-11-23T02:04:39.5670278Z             
2022-11-23T02:04:39.5670385Z  - 
2022-11-23T02:04:39.5670560Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5670656Z             {
2022-11-23T02:04:39.5670838Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5670990Z                 'code': None,
2022-11-23T02:04:39.5671279Z                 'obj_weakref': <weakref at 0x7fa51c353dd0; to 'Tensor' at 0x7fa61a8da9d0>
2022-11-23T02:04:39.5671627Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5671722Z             }
2022-11-23T02:04:39.5671817Z             
2022-11-23T02:04:39.5671925Z  - 
2022-11-23T02:04:39.5672082Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.5672181Z             {
2022-11-23T02:04:39.5672380Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5672535Z                 'code': None,
2022-11-23T02:04:39.5672821Z                 'obj_weakref': <weakref at 0x7fa524658540; to 'Tensor' at 0x7fa61ab594e0>
2022-11-23T02:04:39.5673164Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5673262Z             }
2022-11-23T02:04:39.5673338Z             
2022-11-23T02:04:39.5673445Z  - 
2022-11-23T02:04:39.5673632Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5673730Z             {
2022-11-23T02:04:39.5673987Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5674226Z                 'code': ['___check_obj_id(model, 140347117828224)'],
2022-11-23T02:04:39.5674395Z                 'obj_weakref': None
2022-11-23T02:04:39.5674695Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5674793Z             }
2022-11-23T02:04:39.5674889Z             
2022-11-23T02:04:39.5674998Z  - 
2022-11-23T02:04:39.5675173Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5675271Z             {
2022-11-23T02:04:39.5675465Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5675744Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5675910Z                 'obj_weakref': None
2022-11-23T02:04:39.5676212Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5676308Z             }
2022-11-23T02:04:39.5676409Z             
2022-11-23T02:04:39.5676517Z  - 
2022-11-23T02:04:39.5676703Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.5676782Z             {
2022-11-23T02:04:39.5676952Z                 'guard_types': None,
2022-11-23T02:04:39.5677105Z                 'code': None,
2022-11-23T02:04:39.5677330Z                 'obj_weakref': None
2022-11-23T02:04:39.5677507Z                 'guarded_class': None
2022-11-23T02:04:39.5677604Z             }
2022-11-23T02:04:39.5677680Z             
2022-11-23T02:04:39.5678036Z [2022-11-23 01:58:06,078] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 266
2022-11-23T02:04:39.5678526Z [2022-11-23 01:58:08,707] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a7/ca7zdamujoyzs5xbagd63co2fmwrc6ks2niz3gu3xcizgdpl3fbg.py
2022-11-23T02:04:39.5678889Z [2022-11-23 01:58:08,707] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 266
2022-11-23T02:04:39.5678909Z 
2022-11-23T02:04:39.5679055Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5679161Z import torch
2022-11-23T02:04:39.5679267Z import random
2022-11-23T02:04:39.5679431Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5679588Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5679629Z 
2022-11-23T02:04:39.5679727Z aten = torch.ops.aten
2022-11-23T02:04:39.5679915Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5680048Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5680067Z 
2022-11-23T02:04:39.5680086Z 
2022-11-23T02:04:39.5680279Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5680564Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5680736Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5680889Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.5681032Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.5681158Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.5681251Z {
2022-11-23T02:04:39.5681390Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.5681484Z     {
2022-11-23T02:04:39.5681599Z         #pragma omp for 
2022-11-23T02:04:39.5681725Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.5681803Z         {
2022-11-23T02:04:39.5682032Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.5682213Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.5682396Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T02:04:39.5682520Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:39.5682728Z             auto tmp4 = at::vec::clamp_min(tmp3, decltype(tmp3)(0));
2022-11-23T02:04:39.5682919Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T02:04:39.5683041Z             auto tmp6 = tmp4 / tmp5;
2022-11-23T02:04:39.5683231Z             tmp1.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.5683363Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.5683460Z         }
2022-11-23T02:04:39.5683595Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.5683721Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.5683815Z         {
2022-11-23T02:04:39.5683938Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.5684040Z             auto tmp2 = in_ptr1[i0];
2022-11-23T02:04:39.5684169Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T02:04:39.5684293Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:39.5684422Z             auto tmp4 = tmp3 * (tmp3>0);
2022-11-23T02:04:39.5684568Z             auto tmp5 = static_cast<float>(10);
2022-11-23T02:04:39.5684690Z             auto tmp6 = tmp4 / tmp5;
2022-11-23T02:04:39.5684807Z             out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.5684905Z             out_ptr1[i0] = tmp6;
2022-11-23T02:04:39.5685006Z         }
2022-11-23T02:04:39.5685103Z     }
2022-11-23T02:04:39.5685194Z }
2022-11-23T02:04:39.5685327Z ''')
2022-11-23T02:04:39.5685347Z 
2022-11-23T02:04:39.5685365Z 
2022-11-23T02:04:39.5685498Z async_compile.wait(globals())
2022-11-23T02:04:39.5685608Z del async_compile
2022-11-23T02:04:39.5685628Z 
2022-11-23T02:04:39.5685846Z def call(args):
2022-11-23T02:04:39.5685971Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.5686082Z     args.clear()
2022-11-23T02:04:39.5686356Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5686618Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5686878Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.5686981Z     del arg0_1
2022-11-23T02:04:39.5687083Z     del arg1_1
2022-11-23T02:04:39.5687177Z     return (buf0, buf1, )
2022-11-23T02:04:39.5687197Z 
2022-11-23T02:04:39.5687215Z 
2022-11-23T02:04:39.5687341Z if __name__ == "__main__":
2022-11-23T02:04:39.5687501Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5687672Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5687951Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5688228Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5688396Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.5688415Z 
2022-11-23T02:04:39.5688516Z ok (2.674s)
2022-11-23T02:04:39.5688914Z   test_remainder_cpu (__main__.CpuTests) ... [2022-11-23 01:58:08,715] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5689342Z [2022-11-23 01:58:08,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5689640Z [2022-11-23 01:58:08,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5689987Z [2022-11-23 01:58:08,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5690367Z [2022-11-23 01:58:08,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5690793Z [2022-11-23 01:58:08,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5691256Z [2022-11-23 01:58:08,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5691694Z [2022-11-23 01:58:08,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5692198Z [2022-11-23 01:58:08,716] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9f100, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2759> 
2022-11-23T02:04:39.5692406Z  2761           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5692532Z                2 LOAD_METHOD              1 (remainder)
2022-11-23T02:04:39.5692668Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5692795Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.5692923Z                8 CALL_METHOD              2
2022-11-23T02:04:39.5692943Z 
2022-11-23T02:04:39.5693079Z 2762          10 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5693221Z               12 LOAD_METHOD              1 (remainder)
2022-11-23T02:04:39.5693351Z               14 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5693482Z               16 LOAD_CONST               1 (1)
2022-11-23T02:04:39.5693573Z               18 BINARY_ADD
2022-11-23T02:04:39.5693700Z               20 LOAD_FAST                1 (b)
2022-11-23T02:04:39.5693829Z               22 LOAD_CONST               1 (1)
2022-11-23T02:04:39.5693952Z               24 BINARY_SUBTRACT
2022-11-23T02:04:39.5694081Z               26 CALL_METHOD              2
2022-11-23T02:04:39.5694100Z 
2022-11-23T02:04:39.5694231Z 2763          28 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5694421Z               30 LOAD_METHOD              1 (remainder)
2022-11-23T02:04:39.5694537Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5694663Z               34 LOAD_CONST               1 (1)
2022-11-23T02:04:39.5694778Z               36 BINARY_SUBTRACT
2022-11-23T02:04:39.5694906Z               38 LOAD_FAST                1 (b)
2022-11-23T02:04:39.5695031Z               40 LOAD_CONST               1 (1)
2022-11-23T02:04:39.5695140Z               42 BINARY_ADD
2022-11-23T02:04:39.5695268Z               44 CALL_METHOD              2
2022-11-23T02:04:39.5695287Z 
2022-11-23T02:04:39.5695396Z 2760          46 BUILD_TUPLE              3
2022-11-23T02:04:39.5695509Z               48 RETURN_VALUE
2022-11-23T02:04:39.5695602Z  
2022-11-23T02:04:39.5695621Z 
2022-11-23T02:04:39.5696520Z [2022-11-23 01:58:08,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2761
2022-11-23T02:04:39.5697081Z [2022-11-23 01:58:08,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.5697993Z [2022-11-23 01:58:08,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5698480Z [2022-11-23 01:58:08,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method remainder of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5698961Z [2022-11-23 01:58:08,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method remainder of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5699482Z [2022-11-23 01:58:08,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method remainder of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5699916Z [2022-11-23 01:58:08,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2762
2022-11-23T02:04:39.5700235Z [2022-11-23 01:58:08,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.5700773Z [2022-11-23 01:58:08,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5701246Z [2022-11-23 01:58:08,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5701756Z [2022-11-23 01:58:08,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5702491Z [2022-11-23 01:58:08,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5702998Z [2022-11-23 01:58:08,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5703552Z [2022-11-23 01:58:08,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5704160Z [2022-11-23 01:58:08,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5704816Z [2022-11-23 01:58:08,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5705247Z [2022-11-23 01:58:08,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2763
2022-11-23T02:04:39.5705613Z [2022-11-23 01:58:08,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5706185Z [2022-11-23 01:58:08,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5706696Z [2022-11-23 01:58:08,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5707246Z [2022-11-23 01:58:08,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5707933Z [2022-11-23 01:58:08,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5708485Z [2022-11-23 01:58:08,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5709052Z [2022-11-23 01:58:08,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5709705Z [2022-11-23 01:58:08,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5710298Z [2022-11-23 01:58:08,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5710722Z [2022-11-23 01:58:08,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2760
2022-11-23T02:04:39.5711126Z [2022-11-23 01:58:08,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5711520Z [2022-11-23 01:58:08,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5712033Z [2022-11-23 01:58:08,732] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9f100, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2759>
2022-11-23T02:04:39.5712376Z [2022-11-23 01:58:08,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5712698Z [2022-11-23 01:58:08,732] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5713045Z [2022-11-23 01:58:08,735] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5713383Z [2022-11-23 01:58:08,744] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5713640Z [2022-11-23 01:58:08,745] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5713815Z  __compiled_fn_274 <eval_with_key>.2121 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5713946Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5714075Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.5714468Z call_function, remainder, <built-in method remainder of type object at 0x7fa5855aec60>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.5714719Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.5714955Z call_function, sub, <built-in function sub>, (ex_1_, 1), {}
2022-11-23T02:04:39.5715292Z call_function, remainder_1, <built-in method remainder of type object at 0x7fa5855aec60>, (add, sub), {}
2022-11-23T02:04:39.5715513Z call_function, sub_1, <built-in function sub>, (ex_0_, 1), {}
2022-11-23T02:04:39.5715752Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T02:04:39.5716095Z call_function, remainder_2, <built-in method remainder of type object at 0x7fa5855aec60>, (sub_1, add_1), {}
2022-11-23T02:04:39.5716294Z output, output, output, ((remainder, remainder_1, remainder_2),), {}
2022-11-23T02:04:39.5716317Z 
2022-11-23T02:04:39.5716766Z [2022-11-23 01:58:08,745] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5716908Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5717044Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5717179Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5717317Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5717425Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5717558Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5717671Z              12 RETURN_VALUE
2022-11-23T02:04:39.5717691Z 
2022-11-23T02:04:39.5717784Z  
2022-11-23T02:04:39.5718226Z [2022-11-23 01:58:08,745] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5718398Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_274)
2022-11-23T02:04:39.5718529Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5718645Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5718762Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5718893Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5719021Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5719136Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.5719265Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.5719414Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.5719561Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5719672Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5719793Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.5719938Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5720167Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5720281Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.5720427Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5720558Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:39.5720653Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.5720781Z              36 BUILD_TUPLE              3
2022-11-23T02:04:39.5720894Z              38 RETURN_VALUE
2022-11-23T02:04:39.5720913Z 
2022-11-23T02:04:39.5721005Z  
2022-11-23T02:04:39.5721274Z [2022-11-23 01:58:08,747] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5721386Z  - 
2022-11-23T02:04:39.5721555Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5721635Z             {
2022-11-23T02:04:39.5721833Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5722093Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.5722270Z                 'obj_weakref': None
2022-11-23T02:04:39.5722580Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5722682Z             }
2022-11-23T02:04:39.5722780Z             
2022-11-23T02:04:39.5722869Z  - 
2022-11-23T02:04:39.5723113Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5723217Z             {
2022-11-23T02:04:39.5723421Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5723574Z                 'code': None,
2022-11-23T02:04:39.5723859Z                 'obj_weakref': <weakref at 0x7fa5246587c0; to 'Tensor' at 0x7fa531f7f3d0>
2022-11-23T02:04:39.5724202Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5724280Z             }
2022-11-23T02:04:39.5724373Z             
2022-11-23T02:04:39.5724480Z  - 
2022-11-23T02:04:39.5724654Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.5724752Z             {
2022-11-23T02:04:39.5724956Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5725110Z                 'code': None,
2022-11-23T02:04:39.5725376Z                 'obj_weakref': <weakref at 0x7fa52465a160; to 'Tensor' at 0x7fa5246405e0>
2022-11-23T02:04:39.5725719Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5725817Z             }
2022-11-23T02:04:39.5725912Z             
2022-11-23T02:04:39.5726019Z  - 
2022-11-23T02:04:39.5726200Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5726297Z             {
2022-11-23T02:04:39.5726466Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5726702Z                 'code': ['___check_obj_id(model, 140347117828224)'],
2022-11-23T02:04:39.5726870Z                 'obj_weakref': None
2022-11-23T02:04:39.5727180Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5727281Z             }
2022-11-23T02:04:39.5727377Z             
2022-11-23T02:04:39.5727484Z  - 
2022-11-23T02:04:39.5727643Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5727738Z             {
2022-11-23T02:04:39.5727927Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5728221Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5728387Z                 'obj_weakref': None
2022-11-23T02:04:39.5728691Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5728787Z             }
2022-11-23T02:04:39.5728866Z             
2022-11-23T02:04:39.5728972Z  - 
2022-11-23T02:04:39.5729160Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.5729256Z             {
2022-11-23T02:04:39.5729430Z                 'guard_types': None,
2022-11-23T02:04:39.5729586Z                 'code': None,
2022-11-23T02:04:39.5729754Z                 'obj_weakref': None
2022-11-23T02:04:39.5729986Z                 'guarded_class': None
2022-11-23T02:04:39.5730088Z             }
2022-11-23T02:04:39.5730187Z             
2022-11-23T02:04:39.5730547Z [2022-11-23 01:58:08,762] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 267
2022-11-23T02:04:39.5731040Z [2022-11-23 01:58:11,406] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/z4/cz4wu2km4u3pbcwncsrerdd752sdj3snqknxmnqu3dxf65lvr3hy.py
2022-11-23T02:04:39.5731401Z [2022-11-23 01:58:11,407] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 267
2022-11-23T02:04:39.5731423Z 
2022-11-23T02:04:39.5731560Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5731668Z import torch
2022-11-23T02:04:39.5731758Z import random
2022-11-23T02:04:39.5731924Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5732098Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5732117Z 
2022-11-23T02:04:39.5732242Z aten = torch.ops.aten
2022-11-23T02:04:39.5732426Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5732561Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5732581Z 
2022-11-23T02:04:39.5732600Z 
2022-11-23T02:04:39.5732849Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5733139Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5733289Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5733440Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.5733585Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.5733728Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.5733866Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.5733959Z {
2022-11-23T02:04:39.5734102Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.5734178Z     {
2022-11-23T02:04:39.5734295Z         #pragma omp for 
2022-11-23T02:04:39.5734425Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:39.5734523Z         {
2022-11-23T02:04:39.5734625Z             {
2022-11-23T02:04:39.5734723Z                 {
2022-11-23T02:04:39.5734840Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.5734982Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:39.5735123Z                     auto tmp2 = mod(tmp0, tmp1);
2022-11-23T02:04:39.5735257Z                     auto tmp3 = tmp2 + tmp1;
2022-11-23T02:04:39.5735436Z                     auto tmp4 = ((tmp2 != 0) & ((tmp2 < 0) != (tmp1 < 0))) ? tmp3 : tmp2;
2022-11-23T02:04:39.5735587Z                     auto tmp5 = static_cast<float>(1);
2022-11-23T02:04:39.5735718Z                     auto tmp6 = tmp0 + tmp5;
2022-11-23T02:04:39.5735921Z                     auto tmp7 = tmp1 - tmp5;
2022-11-23T02:04:39.5736475Z                     auto tmp8 = mod(tmp6, tmp7);
2022-11-23T02:04:39.5736705Z                     auto tmp9 = tmp8 + tmp7;
2022-11-23T02:04:39.5736994Z                     auto tmp10 = ((tmp8 != 0) & ((tmp8 < 0) != (tmp7 < 0))) ? tmp9 : tmp8;
2022-11-23T02:04:39.5737331Z                     auto tmp11 = tmp0 - tmp5;
2022-11-23T02:04:39.5737543Z                     auto tmp12 = tmp1 + tmp5;
2022-11-23T02:04:39.5737775Z                     auto tmp13 = mod(tmp11, tmp12);
2022-11-23T02:04:39.5737997Z                     auto tmp14 = tmp13 + tmp12;
2022-11-23T02:04:39.5738217Z                     auto tmp15 = ((tmp13 != 0) & ((tmp13 < 0) != (tmp12 < 0))) ? tmp14 : tmp13;
2022-11-23T02:04:39.5738352Z                     out_ptr0[i0] = tmp4;
2022-11-23T02:04:39.5738478Z                     out_ptr1[i0] = tmp10;
2022-11-23T02:04:39.5738604Z                     out_ptr2[i0] = tmp15;
2022-11-23T02:04:39.5738702Z                 }
2022-11-23T02:04:39.5738798Z             }
2022-11-23T02:04:39.5738892Z         }
2022-11-23T02:04:39.5738967Z     }
2022-11-23T02:04:39.5739059Z }
2022-11-23T02:04:39.5739184Z ''')
2022-11-23T02:04:39.5739204Z 
2022-11-23T02:04:39.5739372Z 
2022-11-23T02:04:39.5739513Z async_compile.wait(globals())
2022-11-23T02:04:39.5739621Z del async_compile
2022-11-23T02:04:39.5739640Z 
2022-11-23T02:04:39.5739747Z def call(args):
2022-11-23T02:04:39.5739861Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.5739950Z     args.clear()
2022-11-23T02:04:39.5740228Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5740492Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5740749Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5741042Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.5741147Z     del arg0_1
2022-11-23T02:04:39.5741247Z     del arg1_1
2022-11-23T02:04:39.5741370Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:39.5741390Z 
2022-11-23T02:04:39.5741408Z 
2022-11-23T02:04:39.5741507Z if __name__ == "__main__":
2022-11-23T02:04:39.5741669Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5741842Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5742182Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5742459Z     arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5742622Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.5742643Z 
2022-11-23T02:04:39.5742743Z ok (2.700s)
2022-11-23T02:04:39.5743155Z   test_repeat_cpu (__main__.CpuTests) ... [2022-11-23 01:58:11,413] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5743563Z [2022-11-23 01:58:11,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5743869Z [2022-11-23 01:58:11,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5744213Z [2022-11-23 01:58:11,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5744591Z [2022-11-23 01:58:11,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5745021Z [2022-11-23 01:58:11,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5745483Z [2022-11-23 01:58:11,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5745918Z [2022-11-23 01:58:11,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5746423Z [2022-11-23 01:58:11,415] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fbace0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2152> 
2022-11-23T02:04:39.5746569Z  2154           0 LOAD_FAST                0 (x)
2022-11-23T02:04:39.5746712Z                2 LOAD_METHOD              0 (repeat)
2022-11-23T02:04:39.5746829Z                4 LOAD_CONST               1 (2)
2022-11-23T02:04:39.5746962Z                6 LOAD_CONST               1 (2)
2022-11-23T02:04:39.5747094Z                8 LOAD_CONST               2 (3)
2022-11-23T02:04:39.5747224Z               10 LOAD_CONST               3 (1)
2022-11-23T02:04:39.5747352Z               12 CALL_METHOD              4
2022-11-23T02:04:39.5747372Z 
2022-11-23T02:04:39.5747503Z 2155          14 LOAD_FAST                0 (x)
2022-11-23T02:04:39.5747640Z               16 LOAD_METHOD              0 (repeat)
2022-11-23T02:04:39.5747769Z               18 LOAD_CONST               4 (8)
2022-11-23T02:04:39.5747878Z               20 LOAD_CONST               3 (1)
2022-11-23T02:04:39.5748004Z               22 LOAD_CONST               3 (1)
2022-11-23T02:04:39.5748197Z               24 LOAD_CONST               3 (1)
2022-11-23T02:04:39.5748325Z               26 CALL_METHOD              4
2022-11-23T02:04:39.5748344Z 
2022-11-23T02:04:39.5748471Z 2156          28 LOAD_FAST                0 (x)
2022-11-23T02:04:39.5748610Z               30 LOAD_METHOD              0 (repeat)
2022-11-23T02:04:39.5748737Z               32 LOAD_CONST               1 (2)
2022-11-23T02:04:39.5748846Z               34 LOAD_CONST               3 (1)
2022-11-23T02:04:39.5748972Z               36 LOAD_CONST               3 (1)
2022-11-23T02:04:39.5749099Z               38 LOAD_CONST               3 (1)
2022-11-23T02:04:39.5749224Z               40 LOAD_CONST               3 (1)
2022-11-23T02:04:39.5749346Z               42 LOAD_CONST               3 (1)
2022-11-23T02:04:39.5749475Z               44 CALL_METHOD              6
2022-11-23T02:04:39.5749494Z 
2022-11-23T02:04:39.5749622Z 2153          46 BUILD_TUPLE              3
2022-11-23T02:04:39.5749735Z               48 RETURN_VALUE
2022-11-23T02:04:39.5749815Z  
2022-11-23T02:04:39.5749835Z 
2022-11-23T02:04:39.5750304Z [2022-11-23 01:58:11,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2154
2022-11-23T02:04:39.5750610Z [2022-11-23 01:58:11,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.5750953Z [2022-11-23 01:58:11,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable()]
2022-11-23T02:04:39.5751412Z [2022-11-23 01:58:11,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T02:04:39.5751754Z [2022-11-23 01:58:11,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T02:04:39.5752226Z [2022-11-23 01:58:11,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.5752744Z [2022-11-23 01:58:11,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.5753319Z [2022-11-23 01:58:11,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.5753743Z [2022-11-23 01:58:11,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2155
2022-11-23T02:04:39.5754047Z [2022-11-23 01:58:11,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T02:04:39.5754417Z [2022-11-23 01:58:11,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5754827Z [2022-11-23 01:58:11,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T02:04:39.5755289Z [2022-11-23 01:58:11,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T02:04:39.5755792Z [2022-11-23 01:58:11,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.5756347Z [2022-11-23 01:58:11,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.5756959Z [2022-11-23 01:58:11,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.5757451Z [2022-11-23 01:58:11,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2156
2022-11-23T02:04:39.5757818Z [2022-11-23 01:58:11,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5758230Z [2022-11-23 01:58:11,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5758672Z [2022-11-23 01:58:11,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T02:04:39.5759158Z [2022-11-23 01:58:11,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T02:04:39.5759697Z [2022-11-23 01:58:11,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.5760321Z [2022-11-23 01:58:11,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.5760967Z [2022-11-23 01:58:11,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.5761654Z [2022-11-23 01:58:11,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.5762401Z [2022-11-23 01:58:11,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.5762835Z [2022-11-23 01:58:11,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2153
2022-11-23T02:04:39.5763238Z [2022-11-23 01:58:11,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5763575Z [2022-11-23 01:58:11,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5764085Z [2022-11-23 01:58:11,424] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fbace0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2152>
2022-11-23T02:04:39.5764425Z [2022-11-23 01:58:11,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5764782Z [2022-11-23 01:58:11,424] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5765129Z [2022-11-23 01:58:11,426] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5765468Z [2022-11-23 01:58:11,431] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5765731Z [2022-11-23 01:58:11,432] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5765902Z  __compiled_fn_275 <eval_with_key>.2127 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5766033Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5766186Z call_method, repeat, repeat, (ex_0_, 2, 2, 3, 1), {}
2022-11-23T02:04:39.5766340Z call_method, repeat_1, repeat, (ex_0_, 8, 1, 1, 1), {}
2022-11-23T02:04:39.5766574Z call_method, repeat_2, repeat, (ex_0_, 2, 1, 1, 1, 1, 1), {}
2022-11-23T02:04:39.5766750Z output, output, output, ((repeat, repeat_1, repeat_2),), {}
2022-11-23T02:04:39.5766773Z 
2022-11-23T02:04:39.5767225Z [2022-11-23 01:58:11,432] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5767364Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5767477Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5767609Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5767752Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5767878Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5768011Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5768129Z              12 RETURN_VALUE
2022-11-23T02:04:39.5768149Z 
2022-11-23T02:04:39.5768243Z  
2022-11-23T02:04:39.5768659Z [2022-11-23 01:58:11,433] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5768823Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_275)
2022-11-23T02:04:39.5768955Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5769199Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5769323Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5769454Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.5769603Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.5769751Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5769864Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5769977Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.5770124Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5770259Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5770371Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.5770528Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5770657Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.5770750Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.5770884Z              30 BUILD_TUPLE              3
2022-11-23T02:04:39.5770997Z              32 RETURN_VALUE
2022-11-23T02:04:39.5771017Z 
2022-11-23T02:04:39.5771114Z  
2022-11-23T02:04:39.5771383Z [2022-11-23 01:58:11,434] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5771489Z  - 
2022-11-23T02:04:39.5771660Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5771740Z             {
2022-11-23T02:04:39.5771937Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5772196Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.5772366Z                 'obj_weakref': None
2022-11-23T02:04:39.5772672Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5772774Z             }
2022-11-23T02:04:39.5772871Z             
2022-11-23T02:04:39.5772958Z  - 
2022-11-23T02:04:39.5773133Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5773230Z             {
2022-11-23T02:04:39.5773431Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5773588Z                 'code': None,
2022-11-23T02:04:39.5773876Z                 'obj_weakref': <weakref at 0x7fa5503dc2c0; to 'Tensor' at 0x7fa51c437e20>
2022-11-23T02:04:39.5774220Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5774299Z             }
2022-11-23T02:04:39.5774393Z             
2022-11-23T02:04:39.5774500Z  - 
2022-11-23T02:04:39.5774683Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5774780Z             {
2022-11-23T02:04:39.5774969Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5775204Z                 'code': ['___check_obj_id(model, 140347117828224)'],
2022-11-23T02:04:39.5775422Z                 'obj_weakref': None
2022-11-23T02:04:39.5775730Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5775826Z             }
2022-11-23T02:04:39.5775926Z             
2022-11-23T02:04:39.5776463Z  - 
2022-11-23T02:04:39.5776787Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5776942Z             {
2022-11-23T02:04:39.5777247Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5777754Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5778035Z                 'obj_weakref': None
2022-11-23T02:04:39.5778366Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5778464Z             }
2022-11-23T02:04:39.5778561Z             
2022-11-23T02:04:39.5778917Z [2022-11-23 01:58:11,444] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 268
2022-11-23T02:04:39.5779390Z [2022-11-23 01:58:14,187] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j7/cj72czpshbiykxsx575krlgbv5dohcbjhkfkq5tbu2cp3loen27m.py
2022-11-23T02:04:39.5779885Z [2022-11-23 01:58:14,188] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 268
2022-11-23T02:04:39.5779907Z 
2022-11-23T02:04:39.5780052Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5780156Z import torch
2022-11-23T02:04:39.5780262Z import random
2022-11-23T02:04:39.5780428Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5780600Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5780620Z 
2022-11-23T02:04:39.5780733Z aten = torch.ops.aten
2022-11-23T02:04:39.5780903Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5781035Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5781054Z 
2022-11-23T02:04:39.5781077Z 
2022-11-23T02:04:39.5781272Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5781550Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5781719Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5781867Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.5781961Z {
2022-11-23T02:04:39.5782103Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.5782176Z     {
2022-11-23T02:04:39.5782310Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.5782432Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.5782524Z         {
2022-11-23T02:04:39.5782646Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.5782740Z             {
2022-11-23T02:04:39.5782862Z                 #pragma GCC ivdep
2022-11-23T02:04:39.5782976Z                 for(long i2=0; i2<12; i2+=1)
2022-11-23T02:04:39.5783072Z                 {
2022-11-23T02:04:39.5783203Z                     for(long i3=0; i3<1; i3+=1)
2022-11-23T02:04:39.5783308Z                     {
2022-11-23T02:04:39.5783561Z                         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i3) + (8*(i2 % 4)) + (32*(i1 % 2)));
2022-11-23T02:04:39.5783730Z                         tmp0.store(out_ptr0 + (8*i2) + (8*i3) + (96*i1) + (384*i0));
2022-11-23T02:04:39.5783833Z                     }
2022-11-23T02:04:39.5783958Z                     #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.5784091Z                     for(long i3=8; i3<8; i3+=1)
2022-11-23T02:04:39.5784190Z                     {
2022-11-23T02:04:39.5784353Z                         auto tmp0 = in_ptr0[i3 + (8*(i2 % 4)) + (32*(i1 % 2))];
2022-11-23T02:04:39.5784511Z                         out_ptr0[i3 + (8*i2) + (96*i1) + (384*i0)] = tmp0;
2022-11-23T02:04:39.5784609Z                     }
2022-11-23T02:04:39.5784706Z                 }
2022-11-23T02:04:39.5784784Z             }
2022-11-23T02:04:39.5784879Z         }
2022-11-23T02:04:39.5784972Z     }
2022-11-23T02:04:39.5785170Z }
2022-11-23T02:04:39.5785291Z ''')
2022-11-23T02:04:39.5785311Z 
2022-11-23T02:04:39.5785329Z 
2022-11-23T02:04:39.5785463Z async_compile.wait(globals())
2022-11-23T02:04:39.5785574Z del async_compile
2022-11-23T02:04:39.5785593Z 
2022-11-23T02:04:39.5785681Z def call(args):
2022-11-23T02:04:39.5785835Z     arg0_1, = args
2022-11-23T02:04:39.5785943Z     args.clear()
2022-11-23T02:04:39.5786243Z     buf0 = empty_strided((2, 4, 12, 8), (384, 96, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5786431Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.5786640Z     return (buf0, as_strided(arg0_1, (8, 2, 4, 8), (0, 32, 8, 1)), as_strided(arg0_1, (2, 1, 1, 2, 4, 8), (0, 0, 0, 32, 8, 1)), )
2022-11-23T02:04:39.5786662Z 
2022-11-23T02:04:39.5786680Z 
2022-11-23T02:04:39.5786793Z if __name__ == "__main__":
2022-11-23T02:04:39.5786955Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5787111Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5787406Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5787606Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.5787690Z 
2022-11-23T02:04:39.5787792Z ok (2.781s)
2022-11-23T02:04:39.5788255Z   test_roi_align_cpu (__main__.CpuTests) ... [2022-11-23 01:58:14,778] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5788688Z [2022-11-23 01:58:14,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5788984Z [2022-11-23 01:58:14,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5789329Z [2022-11-23 01:58:14,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5789703Z [2022-11-23 01:58:14,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5790133Z [2022-11-23 01:58:14,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5790577Z [2022-11-23 01:58:14,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5791011Z [2022-11-23 01:58:14,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5791511Z [2022-11-23 01:58:14,780] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3335> 
2022-11-23T02:04:39.5791653Z  3336           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5791787Z                2 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.5791937Z                4 LOAD_ATTR                2 (torchvision)
2022-11-23T02:04:39.5792081Z                6 LOAD_METHOD              3 (roi_align)
2022-11-23T02:04:39.5792210Z                8 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5792321Z               10 LOAD_FAST                1 (b)
2022-11-23T02:04:39.5792458Z               12 LOAD_CONST               1 (0.25)
2022-11-23T02:04:39.5792588Z               14 LOAD_CONST               2 (7)
2022-11-23T02:04:39.5792716Z               16 LOAD_CONST               2 (7)
2022-11-23T02:04:39.5792842Z               18 LOAD_CONST               3 (2)
2022-11-23T02:04:39.5792975Z               20 LOAD_CONST               4 (False)
2022-11-23T02:04:39.5793103Z               22 CALL_METHOD              7
2022-11-23T02:04:39.5793215Z               24 RETURN_VALUE
2022-11-23T02:04:39.5793291Z  
2022-11-23T02:04:39.5793312Z 
2022-11-23T02:04:39.5793743Z [2022-11-23 01:58:14,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3336
2022-11-23T02:04:39.5794117Z [2022-11-23 01:58:14,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.5794610Z [2022-11-23 01:58:14,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5795021Z [2022-11-23 01:58:14,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR torchvision [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.5795458Z [2022-11-23 01:58:14,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roi_align [TorchVariable(<module 'torch.ops.torchvision' from 'torch.ops'>)]
2022-11-23T02:04:39.5795821Z [2022-11-23 01:58:14,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(torchvision.roi_align)]
2022-11-23T02:04:39.5796225Z [2022-11-23 01:58:14,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(torchvision.roi_align), TensorVariable()]
2022-11-23T02:04:39.5796673Z [2022-11-23 01:58:14,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.25 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5797211Z [2022-11-23 01:58:14,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.5797740Z [2022-11-23 01:58:14,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T02:04:39.5798324Z [2022-11-23 01:58:14,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.5798980Z [2022-11-23 01:58:14,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.5799686Z [2022-11-23 01:58:14,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T02:04:39.5800026Z [2022-11-23 01:58:15,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.5800541Z [2022-11-23 01:58:15,283] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3335>
2022-11-23T02:04:39.5800883Z [2022-11-23 01:58:15,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.5801209Z [2022-11-23 01:58:15,283] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5801556Z [2022-11-23 01:58:15,300] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5801899Z [2022-11-23 01:58:15,795] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5802166Z [2022-11-23 01:58:15,796] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5802357Z  __compiled_fn_276 <eval_with_key>.2133 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5802469Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5802595Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.5802801Z call_function, roi_align, torchvision.roi_align, (ex_0_, ex_1_, 0.25, 7, 7, 2, False), {}
2022-11-23T02:04:39.5802954Z output, output, output, ((roi_align,),), {}
2022-11-23T02:04:39.5802975Z 
2022-11-23T02:04:39.5803408Z [2022-11-23 01:58:15,796] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5803609Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5803742Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5803875Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5803992Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5804118Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5804248Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5804361Z              12 RETURN_VALUE
2022-11-23T02:04:39.5804382Z 
2022-11-23T02:04:39.5804476Z  
2022-11-23T02:04:39.5804915Z [2022-11-23 01:58:15,797] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5805073Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_276)
2022-11-23T02:04:39.5805186Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5805324Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5805440Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5805566Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5805745Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5805863Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.5805991Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.5806227Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.5806320Z              18 RETURN_VALUE
2022-11-23T02:04:39.5806339Z 
2022-11-23T02:04:39.5815247Z  
2022-11-23T02:04:39.5815632Z [2022-11-23 01:58:15,798] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5815733Z  - 
2022-11-23T02:04:39.5815887Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5815972Z             {
2022-11-23T02:04:39.5816968Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5817387Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.5817684Z                 'obj_weakref': None
2022-11-23T02:04:39.5818223Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5818382Z             }
2022-11-23T02:04:39.5818487Z             
2022-11-23T02:04:39.5818602Z  - 
2022-11-23T02:04:39.5818792Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5818897Z             {
2022-11-23T02:04:39.5819106Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5819273Z                 'code': None,
2022-11-23T02:04:39.5819543Z                 'obj_weakref': <weakref at 0x7fa51c510d10; to 'Tensor' at 0x7fa5042ff6f0>
2022-11-23T02:04:39.5819898Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5820002Z             }
2022-11-23T02:04:39.5820103Z             
2022-11-23T02:04:39.5820217Z  - 
2022-11-23T02:04:39.5820400Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.5820508Z             {
2022-11-23T02:04:39.5820688Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5820847Z                 'code': None,
2022-11-23T02:04:39.5821145Z                 'obj_weakref': <weakref at 0x7fa52467d620; to 'Tensor' at 0x7fa5503dc180>
2022-11-23T02:04:39.5821500Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5821603Z             }
2022-11-23T02:04:39.5821708Z             
2022-11-23T02:04:39.5821819Z  - 
2022-11-23T02:04:39.5822009Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5822089Z             {
2022-11-23T02:04:39.5822287Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5822527Z                 'code': ['___check_obj_id(model, 140347989477840)'],
2022-11-23T02:04:39.5822705Z                 'obj_weakref': None
2022-11-23T02:04:39.5823021Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5823427Z             }
2022-11-23T02:04:39.5823532Z             
2022-11-23T02:04:39.5823623Z  - 
2022-11-23T02:04:39.5823804Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5823907Z             {
2022-11-23T02:04:39.5824108Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5824416Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5824591Z                 'obj_weakref': None
2022-11-23T02:04:39.5824899Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5824977Z             }
2022-11-23T02:04:39.5825079Z             
2022-11-23T02:04:39.5825194Z  - 
2022-11-23T02:04:39.5825387Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.5825492Z             {
2022-11-23T02:04:39.5825671Z                 'guard_types': None,
2022-11-23T02:04:39.5825804Z                 'code': None,
2022-11-23T02:04:39.5825979Z                 'obj_weakref': None
2022-11-23T02:04:39.5826158Z                 'guarded_class': None
2022-11-23T02:04:39.5826260Z             }
2022-11-23T02:04:39.5826364Z             
2022-11-23T02:04:39.5826837Z [2022-11-23 01:58:16,295] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 269
2022-11-23T02:04:39.5827205Z [2022-11-23 01:58:16,785] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.torchvision.roi_align
2022-11-23T02:04:39.5827698Z [2022-11-23 01:58:16,789] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i4/ci4pltn6avz2d55jzdstupuq6vnm6xd3a6vadxgy4bmwozbvz5uk.py
2022-11-23T02:04:39.5828036Z [2022-11-23 01:58:16,789] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 269
2022-11-23T02:04:39.5828087Z 
2022-11-23T02:04:39.5828205Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5828317Z import torch
2022-11-23T02:04:39.5828430Z import random
2022-11-23T02:04:39.5828607Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5828787Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5828808Z 
2022-11-23T02:04:39.5828932Z aten = torch.ops.aten
2022-11-23T02:04:39.5829130Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5829245Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5829265Z 
2022-11-23T02:04:39.5829285Z 
2022-11-23T02:04:39.5829421Z async_compile.wait(globals())
2022-11-23T02:04:39.5829539Z del async_compile
2022-11-23T02:04:39.5829558Z 
2022-11-23T02:04:39.5829672Z def call(args):
2022-11-23T02:04:39.5829794Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.5829909Z     args.clear()
2022-11-23T02:04:39.5830113Z     buf0 = torch.ops.torchvision.roi_align(arg0_1, arg1_1, 0.25, 7, 7, 2, False)
2022-11-23T02:04:39.5830199Z     del arg0_1
2022-11-23T02:04:39.5830312Z     del arg1_1
2022-11-23T02:04:39.5830422Z     buf1 = buf0
2022-11-23T02:04:39.5830584Z     assert_size_stride(buf1, (2292, 256, 7, 7), (12544, 49, 7, 1))
2022-11-23T02:04:39.5830695Z     del buf0
2022-11-23T02:04:39.5830813Z     return (buf1, )
2022-11-23T02:04:39.5830832Z 
2022-11-23T02:04:39.5830850Z 
2022-11-23T02:04:39.5830978Z if __name__ == "__main__":
2022-11-23T02:04:39.5831151Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5831309Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5831640Z     arg0_1 = rand_strided((4, 256, 296, 304), (23035904, 89984, 304, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5831924Z     arg1_1 = rand_strided((2292, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5832095Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.5832115Z 
2022-11-23T02:04:39.5832222Z ok (3.408s)
2022-11-23T02:04:39.5832632Z   test_roll_cpu (__main__.CpuTests) ... [2022-11-23 01:58:17,604] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5833068Z [2022-11-23 01:58:17,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5833454Z [2022-11-23 01:58:17,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5833779Z [2022-11-23 01:58:17,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5834158Z [2022-11-23 01:58:17,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5834600Z [2022-11-23 01:58:17,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5835072Z [2022-11-23 01:58:17,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5835515Z [2022-11-23 01:58:17,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5836031Z [2022-11-23 01:58:17,606] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f7b3c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4233> 
2022-11-23T02:04:39.5836231Z  4235           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.5836374Z                2 LOAD_METHOD              1 (roll)
2022-11-23T02:04:39.5836515Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5836722Z                6 LOAD_CONST               1 (-3)
2022-11-23T02:04:39.5836836Z                8 LOAD_CONST               2 (10)
2022-11-23T02:04:39.5836968Z               10 BUILD_LIST               2
2022-11-23T02:04:39.5837105Z               12 LOAD_CONST               3 (1)
2022-11-23T02:04:39.5837241Z               14 LOAD_CONST               4 (2)
2022-11-23T02:04:39.5837373Z               16 BUILD_LIST               2
2022-11-23T02:04:39.5837508Z               18 CALL_METHOD              3
2022-11-23T02:04:39.5837532Z 
2022-11-23T02:04:39.5837676Z 4236          20 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.5837786Z               22 LOAD_METHOD              1 (roll)
2022-11-23T02:04:39.5837924Z               24 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5838059Z               26 LOAD_CONST               5 (5)
2022-11-23T02:04:39.5838192Z               28 BUILD_LIST               1
2022-11-23T02:04:39.5838324Z               30 CALL_METHOD              2
2022-11-23T02:04:39.5838343Z 
2022-11-23T02:04:39.5838477Z 4234          32 BUILD_TUPLE              2
2022-11-23T02:04:39.5838600Z               34 RETURN_VALUE
2022-11-23T02:04:39.5838700Z  
2022-11-23T02:04:39.5838719Z 
2022-11-23T02:04:39.5839130Z [2022-11-23 01:58:17,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4235
2022-11-23T02:04:39.5839432Z [2022-11-23 01:58:17,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.5839850Z [2022-11-23 01:58:17,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roll [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5840202Z [2022-11-23 01:58:17,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.roll)]
2022-11-23T02:04:39.5840586Z [2022-11-23 01:58:17,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -3 [TorchVariable(aten.roll), TensorVariable()]
2022-11-23T02:04:39.5841019Z [2022-11-23 01:58:17,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5841502Z [2022-11-23 01:58:17,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.5841911Z [2022-11-23 01:58:17,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.roll), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.5842438Z [2022-11-23 01:58:17,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5842945Z [2022-11-23 01:58:17,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.5843393Z [2022-11-23 01:58:17,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.5843799Z [2022-11-23 01:58:17,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4236
2022-11-23T02:04:39.5844146Z [2022-11-23 01:58:17,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.5844593Z [2022-11-23 01:58:17,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roll [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.5845033Z [2022-11-23 01:58:17,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.roll)]
2022-11-23T02:04:39.5845458Z [2022-11-23 01:58:17,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(aten.roll), TensorVariable()]
2022-11-23T02:04:39.5845920Z [2022-11-23 01:58:17,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5846376Z [2022-11-23 01:58:17,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.roll), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.5846809Z [2022-11-23 01:58:17,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4234
2022-11-23T02:04:39.5847191Z [2022-11-23 01:58:17,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5847540Z [2022-11-23 01:58:17,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5848060Z [2022-11-23 01:58:17,630] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f7b3c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4233>
2022-11-23T02:04:39.5848375Z [2022-11-23 01:58:17,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5848705Z [2022-11-23 01:58:17,630] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5849060Z [2022-11-23 01:58:17,632] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5849416Z [2022-11-23 01:58:17,638] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5849688Z [2022-11-23 01:58:17,639] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5849884Z  __compiled_fn_277 <eval_with_key>.2139 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5850024Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5850270Z call_function, roll, aten.roll, (ex_0_, [-3, 10], [1, 2]), {}
2022-11-23T02:04:39.5850403Z call_function, roll_1, aten.roll, (ex_0_, [5]), {}
2022-11-23T02:04:39.5850561Z output, output, output, ((roll, roll_1),), {}
2022-11-23T02:04:39.5850581Z 
2022-11-23T02:04:39.5851042Z [2022-11-23 01:58:17,639] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5851186Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5851325Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5851432Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5851644Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5851778Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5851912Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5852027Z              12 RETURN_VALUE
2022-11-23T02:04:39.5852051Z 
2022-11-23T02:04:39.5852150Z  
2022-11-23T02:04:39.5852593Z [2022-11-23 01:58:17,639] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5852754Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_277)
2022-11-23T02:04:39.5852866Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5853001Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5853121Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5853253Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.5853407Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.5853563Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5853697Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5853791Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.5853939Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5854136Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5854259Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.5854392Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.5854511Z              26 RETURN_VALUE
2022-11-23T02:04:39.5854531Z 
2022-11-23T02:04:39.5854629Z  
2022-11-23T02:04:39.5854899Z [2022-11-23 01:58:17,641] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5854987Z  - 
2022-11-23T02:04:39.5855157Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5855261Z             {
2022-11-23T02:04:39.5855466Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5855726Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.5855912Z                 'obj_weakref': None
2022-11-23T02:04:39.5856808Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5856943Z             }
2022-11-23T02:04:39.5857114Z             
2022-11-23T02:04:39.5857312Z  - 
2022-11-23T02:04:39.5857605Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5857765Z             {
2022-11-23T02:04:39.5858101Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5858297Z                 'code': None,
2022-11-23T02:04:39.5858597Z                 'obj_weakref': <weakref at 0x7fa52467c810; to 'Tensor' at 0x7fa550413bf0>
2022-11-23T02:04:39.5858945Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5859048Z             }
2022-11-23T02:04:39.5859153Z             
2022-11-23T02:04:39.5859262Z  - 
2022-11-23T02:04:39.5859452Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5859536Z             {
2022-11-23T02:04:39.5859731Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5859973Z                 'code': ['___check_obj_id(model, 140347117821744)'],
2022-11-23T02:04:39.5860146Z                 'obj_weakref': None
2022-11-23T02:04:39.5860467Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5860569Z             }
2022-11-23T02:04:39.5860671Z             
2022-11-23T02:04:39.5860757Z  - 
2022-11-23T02:04:39.5860929Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5861034Z             {
2022-11-23T02:04:39.5861227Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5861526Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5861702Z                 'obj_weakref': None
2022-11-23T02:04:39.5862007Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5862297Z             }
2022-11-23T02:04:39.5862373Z             
2022-11-23T02:04:39.5862490Z  - 
2022-11-23T02:04:39.5862679Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.5862783Z             {
2022-11-23T02:04:39.5862960Z                 'guard_types': None,
2022-11-23T02:04:39.5863115Z                 'code': None,
2022-11-23T02:04:39.5863261Z                 'obj_weakref': None
2022-11-23T02:04:39.5863433Z                 'guarded_class': None
2022-11-23T02:04:39.5863535Z             }
2022-11-23T02:04:39.5863638Z             
2022-11-23T02:04:39.5863995Z [2022-11-23 01:58:17,651] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 270
2022-11-23T02:04:39.5864494Z [2022-11-23 01:58:20,433] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ps/cpsgi3qtrd4wlwzzgb4l43peets6rz2kjbm3sscudshpjvpdqmm5.py
2022-11-23T02:04:39.5864854Z [2022-11-23 01:58:20,433] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 270
2022-11-23T02:04:39.5864881Z 
2022-11-23T02:04:39.5865021Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5865106Z import torch
2022-11-23T02:04:39.5865216Z import random
2022-11-23T02:04:39.5865383Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5865632Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5865653Z 
2022-11-23T02:04:39.5865783Z aten = torch.ops.aten
2022-11-23T02:04:39.5865975Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5866113Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5866201Z 
2022-11-23T02:04:39.5866219Z 
2022-11-23T02:04:39.5866416Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5866676Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5866854Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5867003Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.5867151Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.5867253Z {
2022-11-23T02:04:39.5867399Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.5867498Z     {
2022-11-23T02:04:39.5867611Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.5867739Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.5867840Z         {
2022-11-23T02:04:39.5867973Z             for(long i1=0; i1<56; i1+=1)
2022-11-23T02:04:39.5868074Z             {
2022-11-23T02:04:39.5868200Z                 #pragma GCC ivdep
2022-11-23T02:04:39.5868335Z                 for(long i2=0; i2<56; i2+=1)
2022-11-23T02:04:39.5868414Z                 {
2022-11-23T02:04:39.5868557Z                     for(long i3=0; i3<2; i3+=1)
2022-11-23T02:04:39.5868667Z                     {
2022-11-23T02:04:39.5868943Z                         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i3) + (16*((46 + i2) % 56)) + (896*((3 + i1) % 56)) + (50176*i0));
2022-11-23T02:04:39.5869129Z                         tmp0.store(out_ptr0 + (8*i3) + (16*i2) + (896*i1) + (50176*i0));
2022-11-23T02:04:39.5869232Z                     }
2022-11-23T02:04:39.5869379Z                     #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.5869520Z                     for(long i3=16; i3<16; i3+=1)
2022-11-23T02:04:39.5869604Z                     {
2022-11-23T02:04:39.5869792Z                         auto tmp0 = in_ptr0[i3 + (16*((46 + i2) % 56)) + (896*((3 + i1) % 56)) + (50176*i0)];
2022-11-23T02:04:39.5869954Z                         out_ptr0[i3 + (16*i2) + (896*i1) + (50176*i0)] = tmp0;
2022-11-23T02:04:39.5870059Z                     }
2022-11-23T02:04:39.5870162Z                 }
2022-11-23T02:04:39.5870268Z             }
2022-11-23T02:04:39.5870368Z         }
2022-11-23T02:04:39.5870467Z         #pragma omp for 
2022-11-23T02:04:39.5870596Z         for(long i0=0; i0<100352; i0+=1)
2022-11-23T02:04:39.5870700Z         {
2022-11-23T02:04:39.5870799Z             {
2022-11-23T02:04:39.5870903Z                 {
2022-11-23T02:04:39.5871127Z                     auto tmp0 = in_ptr0[(100347 + i0) % 100352];
2022-11-23T02:04:39.5871234Z                     out_ptr1[i0] = tmp0;
2022-11-23T02:04:39.5871338Z                 }
2022-11-23T02:04:39.5871439Z             }
2022-11-23T02:04:39.5871542Z         }
2022-11-23T02:04:39.5871643Z     }
2022-11-23T02:04:39.5871741Z }
2022-11-23T02:04:39.5871874Z ''')
2022-11-23T02:04:39.5871894Z 
2022-11-23T02:04:39.5871912Z 
2022-11-23T02:04:39.5872027Z async_compile.wait(globals())
2022-11-23T02:04:39.5872138Z del async_compile
2022-11-23T02:04:39.5872157Z 
2022-11-23T02:04:39.5872271Z def call(args):
2022-11-23T02:04:39.5872384Z     arg0_1, = args
2022-11-23T02:04:39.5872495Z     args.clear()
2022-11-23T02:04:39.5872807Z     buf0 = empty_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5873084Z     buf1 = empty_strided((100352, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5873316Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.5873405Z     del arg0_1
2022-11-23T02:04:39.5873575Z     return (buf0, as_strided(buf1, (2, 56, 56, 16), (50176, 896, 16, 1)), )
2022-11-23T02:04:39.5873596Z 
2022-11-23T02:04:39.5873614Z 
2022-11-23T02:04:39.5873784Z if __name__ == "__main__":
2022-11-23T02:04:39.5873965Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5874143Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5874455Z     arg0_1 = rand_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5874612Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.5874631Z 
2022-11-23T02:04:39.5874740Z ok (2.840s)
2022-11-23T02:04:39.5875151Z   test_round_correctness_cpu (__main__.CpuTests) ... [2022-11-23 01:58:20,444] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5875584Z [2022-11-23 01:58:20,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5875887Z [2022-11-23 01:58:20,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5876238Z [2022-11-23 01:58:20,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5876618Z [2022-11-23 01:58:20,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5877045Z [2022-11-23 01:58:20,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5877514Z [2022-11-23 01:58:20,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5877956Z [2022-11-23 01:58:20,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5878466Z [2022-11-23 01:58:20,445] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641130240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1026> 
2022-11-23T02:04:39.5878616Z  1027           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5878735Z                2 LOAD_METHOD              1 (round)
2022-11-23T02:04:39.5878872Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5879008Z                6 CALL_METHOD              1
2022-11-23T02:04:39.5879126Z                8 RETURN_VALUE
2022-11-23T02:04:39.5879221Z  
2022-11-23T02:04:39.5879240Z 
2022-11-23T02:04:39.5879667Z [2022-11-23 01:58:20,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1027
2022-11-23T02:04:39.5879970Z [2022-11-23 01:58:20,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.5880540Z [2022-11-23 01:58:20,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5880978Z [2022-11-23 01:58:20,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method round of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5881433Z [2022-11-23 01:58:20,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method round of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5881776Z [2022-11-23 01:58:20,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.5882282Z [2022-11-23 01:58:20,449] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641130240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1026>
2022-11-23T02:04:39.5882620Z [2022-11-23 01:58:20,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.5882946Z [2022-11-23 01:58:20,449] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5883349Z [2022-11-23 01:58:20,451] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5883711Z [2022-11-23 01:58:20,454] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5883973Z [2022-11-23 01:58:20,455] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5884169Z  __compiled_fn_278 <eval_with_key>.2145 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5884280Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5884603Z call_function, round_1, <built-in method round of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.5884756Z output, output, output, ((round_1,),), {}
2022-11-23T02:04:39.5884776Z 
2022-11-23T02:04:39.5885221Z [2022-11-23 01:58:20,455] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5885366Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5885511Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5885644Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5885850Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5885959Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5886095Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5886218Z              12 RETURN_VALUE
2022-11-23T02:04:39.5886238Z 
2022-11-23T02:04:39.5886334Z  
2022-11-23T02:04:39.5886768Z [2022-11-23 01:58:20,455] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5886930Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_278)
2022-11-23T02:04:39.5887071Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5887206Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5887301Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5887436Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.5887579Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.5887692Z              12 RETURN_VALUE
2022-11-23T02:04:39.5887710Z 
2022-11-23T02:04:39.5887804Z  
2022-11-23T02:04:39.5888066Z [2022-11-23 01:58:20,457] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5888177Z  - 
2022-11-23T02:04:39.5888333Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5888437Z             {
2022-11-23T02:04:39.5888641Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5888900Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.5889077Z                 'obj_weakref': None
2022-11-23T02:04:39.5889393Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5889569Z             }
2022-11-23T02:04:39.5889647Z             
2022-11-23T02:04:39.5889760Z  - 
2022-11-23T02:04:39.5889944Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5890045Z             {
2022-11-23T02:04:39.5890252Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5890411Z                 'code': None,
2022-11-23T02:04:39.5890707Z                 'obj_weakref': <weakref at 0x7fa52467d030; to 'Tensor' at 0x7fa51c351fd0>
2022-11-23T02:04:39.5891030Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5891131Z             }
2022-11-23T02:04:39.5891234Z             
2022-11-23T02:04:39.5891346Z  - 
2022-11-23T02:04:39.5891535Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5891635Z             {
2022-11-23T02:04:39.5891829Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5892050Z                 'code': ['___check_obj_id(model, 140347117821744)'],
2022-11-23T02:04:39.5892227Z                 'obj_weakref': None
2022-11-23T02:04:39.5892538Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5892705Z             }
2022-11-23T02:04:39.5892813Z             
2022-11-23T02:04:39.5892924Z  - 
2022-11-23T02:04:39.5893103Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5893180Z             {
2022-11-23T02:04:39.5893373Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5893669Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5893845Z                 'obj_weakref': None
2022-11-23T02:04:39.5894155Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5894253Z             }
2022-11-23T02:04:39.5894357Z             
2022-11-23T02:04:39.5894443Z  - 
2022-11-23T02:04:39.5894640Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.5894740Z             {
2022-11-23T02:04:39.5894919Z                 'guard_types': None,
2022-11-23T02:04:39.5895077Z                 'code': None,
2022-11-23T02:04:39.5895245Z                 'obj_weakref': None
2022-11-23T02:04:39.5895423Z                 'guarded_class': None
2022-11-23T02:04:39.5895502Z             }
2022-11-23T02:04:39.5895603Z             
2022-11-23T02:04:39.5895961Z [2022-11-23 01:58:20,464] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 271
2022-11-23T02:04:39.5897236Z [2022-11-23 01:58:23,086] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/42/c42sekhqvh3rab4gsyzhvt356rjyzrnfg7vysnj7hiuvthah52dj.py
2022-11-23T02:04:39.5897894Z [2022-11-23 01:58:23,086] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 271
2022-11-23T02:04:39.5897921Z 
2022-11-23T02:04:39.5898161Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5898287Z import torch
2022-11-23T02:04:39.5898396Z import random
2022-11-23T02:04:39.5898542Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5898717Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5898737Z 
2022-11-23T02:04:39.5898861Z aten = torch.ops.aten
2022-11-23T02:04:39.5899058Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5899200Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5899220Z 
2022-11-23T02:04:39.5899239Z 
2022-11-23T02:04:39.5899445Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5899729Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5899907Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T02:04:39.5900032Z                        double* __restrict__ out_ptr0)
2022-11-23T02:04:39.5900130Z {
2022-11-23T02:04:39.5900274Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.5900373Z     {
2022-11-23T02:04:39.5900698Z         #pragma omp for 
2022-11-23T02:04:39.5900828Z         for(long i0=0; i0<200; i0+=1)
2022-11-23T02:04:39.5900928Z         {
2022-11-23T02:04:39.5901006Z             {
2022-11-23T02:04:39.5901108Z                 {
2022-11-23T02:04:39.5901255Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.5901453Z                     auto tmp1 = std::nearbyint(tmp0);
2022-11-23T02:04:39.5901581Z                     out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.5901686Z                 }
2022-11-23T02:04:39.5901788Z             }
2022-11-23T02:04:39.5901865Z         }
2022-11-23T02:04:39.5901962Z     }
2022-11-23T02:04:39.5902057Z }
2022-11-23T02:04:39.5902193Z ''')
2022-11-23T02:04:39.5902214Z 
2022-11-23T02:04:39.5902232Z 
2022-11-23T02:04:39.5902368Z async_compile.wait(globals())
2022-11-23T02:04:39.5902482Z del async_compile
2022-11-23T02:04:39.5902501Z 
2022-11-23T02:04:39.5902612Z def call(args):
2022-11-23T02:04:39.5902697Z     arg0_1, = args
2022-11-23T02:04:39.5902814Z     args.clear()
2022-11-23T02:04:39.5903086Z     buf0 = empty_strided((200, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T02:04:39.5903286Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.5903393Z     del arg0_1
2022-11-23T02:04:39.5903590Z     return (buf0, )
2022-11-23T02:04:39.5903612Z 
2022-11-23T02:04:39.5903630Z 
2022-11-23T02:04:39.5903752Z if __name__ == "__main__":
2022-11-23T02:04:39.5903896Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5904080Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5904357Z     arg0_1 = rand_strided((200, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T02:04:39.5904516Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.5904535Z 
2022-11-23T02:04:39.5904641Z ok (2.649s)
2022-11-23T02:04:39.5905052Z   test_round_cpu (__main__.CpuTests) ... [2022-11-23 01:58:23,094] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5905486Z [2022-11-23 01:58:23,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5905787Z [2022-11-23 01:58:23,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5906131Z [2022-11-23 01:58:23,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5906490Z [2022-11-23 01:58:23,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5906931Z [2022-11-23 01:58:23,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5907400Z [2022-11-23 01:58:23,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5907837Z [2022-11-23 01:58:23,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5908346Z [2022-11-23 01:58:23,095] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa6411300e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1012> 
2022-11-23T02:04:39.5908494Z  1013           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5908639Z                2 LOAD_METHOD              1 (round)
2022-11-23T02:04:39.5908783Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5908915Z                6 CALL_METHOD              1
2022-11-23T02:04:39.5909031Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5909169Z               10 LOAD_METHOD              1 (round)
2022-11-23T02:04:39.5909306Z               12 LOAD_FAST                1 (b)
2022-11-23T02:04:39.5909444Z               14 LOAD_CONST               1 (1)
2022-11-23T02:04:39.5909561Z               16 BINARY_ADD
2022-11-23T02:04:39.5909758Z               18 CALL_METHOD              1
2022-11-23T02:04:39.5909903Z               20 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5910014Z               22 LOAD_ATTR                1 (round)
2022-11-23T02:04:39.5910153Z               24 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5910289Z               26 LOAD_CONST               2 (2)
2022-11-23T02:04:39.5910516Z               28 LOAD_CONST               3 (('decimals',))
2022-11-23T02:04:39.5910649Z               30 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.5910782Z               32 BUILD_TUPLE              3
2022-11-23T02:04:39.5910900Z               34 RETURN_VALUE
2022-11-23T02:04:39.5910974Z  
2022-11-23T02:04:39.5911020Z 
2022-11-23T02:04:39.5911424Z [2022-11-23 01:58:23,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1013
2022-11-23T02:04:39.5911730Z [2022-11-23 01:58:23,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.5912232Z [2022-11-23 01:58:23,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5912730Z [2022-11-23 01:58:23,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method round of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5913220Z [2022-11-23 01:58:23,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method round of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5913550Z [2022-11-23 01:58:23,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.5914078Z [2022-11-23 01:58:23,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5914556Z [2022-11-23 01:58:23,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5915065Z [2022-11-23 01:58:23,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5915626Z [2022-11-23 01:58:23,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5916143Z [2022-11-23 01:58:23,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5916517Z [2022-11-23 01:58:23,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5917064Z [2022-11-23 01:58:23,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5917571Z [2022-11-23 01:58:23,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5918116Z [2022-11-23 01:58:23,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5918743Z [2022-11-23 01:58:23,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('decimals',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5919475Z [2022-11-23 01:58:23,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T02:04:39.5919884Z [2022-11-23 01:58:23,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5920223Z [2022-11-23 01:58:23,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5920732Z [2022-11-23 01:58:23,105] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa6411300e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1012>
2022-11-23T02:04:39.5921074Z [2022-11-23 01:58:23,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5921398Z [2022-11-23 01:58:23,105] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5921755Z [2022-11-23 01:58:23,108] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5922150Z [2022-11-23 01:58:23,115] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5922396Z [2022-11-23 01:58:23,115] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5922596Z  __compiled_fn_279 <eval_with_key>.2151 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5922735Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5922866Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.5923184Z call_function, round_1, <built-in method round of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.5923427Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T02:04:39.5923742Z call_function, round_2, <built-in method round of type object at 0x7fa5855aec60>, (add,), {}
2022-11-23T02:04:39.5924087Z call_function, round_3, <built-in method round of type object at 0x7fa5855aec60>, (ex_0_,), {'decimals': 2}
2022-11-23T02:04:39.5924239Z output, output, output, ((round_1, round_2, round_3),), {}
2022-11-23T02:04:39.5924260Z 
2022-11-23T02:04:39.5924787Z [2022-11-23 01:58:23,116] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5924933Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5925072Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5925207Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5925355Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5925481Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5925618Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5925712Z              12 RETURN_VALUE
2022-11-23T02:04:39.5925733Z 
2022-11-23T02:04:39.5925835Z  
2022-11-23T02:04:39.5926276Z [2022-11-23 01:58:23,116] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5926444Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_279)
2022-11-23T02:04:39.5926584Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5926718Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5926838Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5926949Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5927084Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5927201Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.5927335Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.5927489Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.5927638Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5927777Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5928052Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.5928179Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5928313Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5928431Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.5928587Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5928722Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:39.5928847Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.5928976Z              36 BUILD_TUPLE              3
2022-11-23T02:04:39.5929069Z              38 RETURN_VALUE
2022-11-23T02:04:39.5929088Z 
2022-11-23T02:04:39.5929183Z  
2022-11-23T02:04:39.5929453Z [2022-11-23 01:58:23,117] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5929566Z  - 
2022-11-23T02:04:39.5929734Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5929839Z             {
2022-11-23T02:04:39.5930040Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5930280Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.5930453Z                 'obj_weakref': None
2022-11-23T02:04:39.5930765Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5930923Z             }
2022-11-23T02:04:39.5931031Z             
2022-11-23T02:04:39.5931142Z  - 
2022-11-23T02:04:39.5931333Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5931410Z             {
2022-11-23T02:04:39.5931613Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5931774Z                 'code': None,
2022-11-23T02:04:39.5932066Z                 'obj_weakref': <weakref at 0x7fa532167920; to 'Tensor' at 0x7fa61a8eb6f0>
2022-11-23T02:04:39.5932414Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5932518Z             }
2022-11-23T02:04:39.5932618Z             
2022-11-23T02:04:39.5932709Z  - 
2022-11-23T02:04:39.5932889Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.5932993Z             {
2022-11-23T02:04:39.5933198Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5933354Z                 'code': None,
2022-11-23T02:04:39.5933647Z                 'obj_weakref': <weakref at 0x7fa5321676f0; to 'Tensor' at 0x7fa62380c130>
2022-11-23T02:04:39.5934001Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5934078Z             }
2022-11-23T02:04:39.5934182Z             
2022-11-23T02:04:39.5934288Z  - 
2022-11-23T02:04:39.5934474Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5934574Z             {
2022-11-23T02:04:39.5934768Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5935007Z                 'code': ['___check_obj_id(model, 140347117828224)'],
2022-11-23T02:04:39.5935157Z                 'obj_weakref': None
2022-11-23T02:04:39.5935481Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5935581Z             }
2022-11-23T02:04:39.5935682Z             
2022-11-23T02:04:39.5935793Z  - 
2022-11-23T02:04:39.5935972Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5936595Z             {
2022-11-23T02:04:39.5936927Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5937440Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5937725Z                 'obj_weakref': None
2022-11-23T02:04:39.5938215Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5938319Z             }
2022-11-23T02:04:39.5938420Z             
2022-11-23T02:04:39.5938531Z  - 
2022-11-23T02:04:39.5938698Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.5938803Z             {
2022-11-23T02:04:39.5938975Z                 'guard_types': None,
2022-11-23T02:04:39.5939287Z                 'code': None,
2022-11-23T02:04:39.5939459Z                 'obj_weakref': None
2022-11-23T02:04:39.5939634Z                 'guarded_class': None
2022-11-23T02:04:39.5939738Z             }
2022-11-23T02:04:39.5939813Z             
2022-11-23T02:04:39.5940179Z [2022-11-23 01:58:23,132] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 272
2022-11-23T02:04:39.5940672Z [2022-11-23 01:58:25,794] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fv/cfv54ws3lzqbpkto7wr4dx62mxtp5rbj4qvfekkyul72ao7fnihc.py
2022-11-23T02:04:39.5941032Z [2022-11-23 01:58:25,795] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 272
2022-11-23T02:04:39.5941056Z 
2022-11-23T02:04:39.5941202Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5941314Z import torch
2022-11-23T02:04:39.5941423Z import random
2022-11-23T02:04:39.5941594Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5941750Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5941770Z 
2022-11-23T02:04:39.5941892Z aten = torch.ops.aten
2022-11-23T02:04:39.5942084Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5942228Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5942315Z 
2022-11-23T02:04:39.5942336Z 
2022-11-23T02:04:39.5942541Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5942824Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5942999Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5943152Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.5943275Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.5943425Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.5943568Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.5943668Z {
2022-11-23T02:04:39.5943817Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.5943920Z     {
2022-11-23T02:04:39.5944044Z         #pragma omp for 
2022-11-23T02:04:39.5944146Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.5944246Z         {
2022-11-23T02:04:39.5944517Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.5944650Z             auto tmp1 = tmp0.round();
2022-11-23T02:04:39.5944851Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(100.0));
2022-11-23T02:04:39.5944984Z             auto tmp3 = tmp0 * tmp2;
2022-11-23T02:04:39.5945112Z             auto tmp4 = tmp3.round();
2022-11-23T02:04:39.5945284Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(0.01));
2022-11-23T02:04:39.5945415Z             auto tmp6 = tmp4 * tmp5;
2022-11-23T02:04:39.5945554Z             tmp1.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.5945687Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.5945789Z         }
2022-11-23T02:04:39.5945938Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.5946064Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.5946141Z         {
2022-11-23T02:04:39.5946268Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.5946420Z             auto tmp1 = std::nearbyint(tmp0);
2022-11-23T02:04:39.5946573Z             auto tmp2 = static_cast<float>(100.0);
2022-11-23T02:04:39.5946701Z             auto tmp3 = tmp0 * tmp2;
2022-11-23T02:04:39.5946854Z             auto tmp4 = std::nearbyint(tmp3);
2022-11-23T02:04:39.5947011Z             auto tmp5 = static_cast<float>(0.01);
2022-11-23T02:04:39.5947117Z             auto tmp6 = tmp4 * tmp5;
2022-11-23T02:04:39.5947240Z             out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.5947364Z             out_ptr1[i0] = tmp6;
2022-11-23T02:04:39.5947462Z         }
2022-11-23T02:04:39.5947582Z         #pragma omp for 
2022-11-23T02:04:39.5947709Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.5947815Z         {
2022-11-23T02:04:39.5947985Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.5948250Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.5948384Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.5948510Z             auto tmp3 = tmp2.round();
2022-11-23T02:04:39.5948650Z             tmp3.store(out_ptr2 + 8*i0);
2022-11-23T02:04:39.5948755Z         }
2022-11-23T02:04:39.5948901Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.5949002Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.5949103Z         {
2022-11-23T02:04:39.5949228Z             auto tmp0 = in_ptr1[i0];
2022-11-23T02:04:39.5949372Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.5949501Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.5949654Z             auto tmp3 = std::nearbyint(tmp2);
2022-11-23T02:04:39.5949772Z             out_ptr2[i0] = tmp3;
2022-11-23T02:04:39.5949848Z         }
2022-11-23T02:04:39.5949948Z     }
2022-11-23T02:04:39.5950048Z }
2022-11-23T02:04:39.5950181Z ''')
2022-11-23T02:04:39.5950201Z 
2022-11-23T02:04:39.5950219Z 
2022-11-23T02:04:39.5950356Z async_compile.wait(globals())
2022-11-23T02:04:39.5950475Z del async_compile
2022-11-23T02:04:39.5950495Z 
2022-11-23T02:04:39.5950608Z def call(args):
2022-11-23T02:04:39.5950774Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.5950869Z     args.clear()
2022-11-23T02:04:39.5951154Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5951426Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5951688Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5951991Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.5952104Z     del arg0_1
2022-11-23T02:04:39.5952210Z     del arg1_1
2022-11-23T02:04:39.5952312Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:39.5952335Z 
2022-11-23T02:04:39.5952378Z 
2022-11-23T02:04:39.5952474Z if __name__ == "__main__":
2022-11-23T02:04:39.5952639Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5952818Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5953099Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5953373Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5953545Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.5953564Z 
2022-11-23T02:04:39.5953670Z ok (2.709s)
2022-11-23T02:04:39.5954058Z   test_rsqrt_cpu (__main__.CpuTests) ... [2022-11-23 01:58:25,802] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5954489Z [2022-11-23 01:58:25,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5954801Z [2022-11-23 01:58:25,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5955150Z [2022-11-23 01:58:25,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5955533Z [2022-11-23 01:58:25,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5955970Z [2022-11-23 01:58:25,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5956438Z [2022-11-23 01:58:25,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5956879Z [2022-11-23 01:58:25,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5957387Z [2022-11-23 01:58:25,803] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9e1e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2638> 
2022-11-23T02:04:39.5957634Z  2639           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5957759Z                2 LOAD_METHOD              1 (rsqrt)
2022-11-23T02:04:39.5957899Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.5958034Z                6 CALL_METHOD              1
2022-11-23T02:04:39.5958174Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.5958310Z               10 LOAD_METHOD              1 (rsqrt)
2022-11-23T02:04:39.5958446Z               12 LOAD_FAST                0 (x)
2022-11-23T02:04:39.5958579Z               14 LOAD_CONST               1 (1)
2022-11-23T02:04:39.5958698Z               16 BINARY_ADD
2022-11-23T02:04:39.5958807Z               18 CALL_METHOD              1
2022-11-23T02:04:39.5958942Z               20 LOAD_CONST               2 (2)
2022-11-23T02:04:39.5959073Z               22 BINARY_SUBTRACT
2022-11-23T02:04:39.5959207Z               24 BUILD_TUPLE              2
2022-11-23T02:04:39.5959330Z               26 RETURN_VALUE
2022-11-23T02:04:39.5959429Z  
2022-11-23T02:04:39.5959448Z 
2022-11-23T02:04:39.5959944Z [2022-11-23 01:58:25,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2639
2022-11-23T02:04:39.5960236Z [2022-11-23 01:58:25,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.5960730Z [2022-11-23 01:58:25,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rsqrt [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5961166Z [2022-11-23 01:58:25,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method rsqrt of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5961646Z [2022-11-23 01:58:25,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method rsqrt of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5961988Z [2022-11-23 01:58:25,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.5962529Z [2022-11-23 01:58:25,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rsqrt [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.5962997Z [2022-11-23 01:58:25,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.5963512Z [2022-11-23 01:58:25,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5964074Z [2022-11-23 01:58:25,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5964590Z [2022-11-23 01:58:25,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.5964958Z [2022-11-23 01:58:25,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5965384Z [2022-11-23 01:58:25,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.5965751Z [2022-11-23 01:58:25,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.5966063Z [2022-11-23 01:58:25,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5966654Z [2022-11-23 01:58:25,812] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9e1e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2638>
2022-11-23T02:04:39.5966998Z [2022-11-23 01:58:25,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.5967320Z [2022-11-23 01:58:25,812] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.5967667Z [2022-11-23 01:58:25,814] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.5968010Z [2022-11-23 01:58:25,823] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.5968279Z [2022-11-23 01:58:25,824] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.5968473Z  __compiled_fn_280 <eval_with_key>.2157 opcode, name, target, args, kwargs
2022-11-23T02:04:39.5968611Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.5968905Z call_function, rsqrt, <built-in method rsqrt of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.5969177Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.5969540Z call_function, rsqrt_1, <built-in method rsqrt of type object at 0x7fa5855aec60>, (add,), {}
2022-11-23T02:04:39.5969768Z call_function, sub, <built-in function sub>, (rsqrt_1, 2), {}
2022-11-23T02:04:39.5969923Z output, output, output, ((rsqrt, sub),), {}
2022-11-23T02:04:39.5969945Z 
2022-11-23T02:04:39.5970389Z [2022-11-23 01:58:25,825] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5970530Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.5970666Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5970776Z               4 BUILD_MAP                0
2022-11-23T02:04:39.5970919Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.5971050Z               8 DICT_MERGE               1
2022-11-23T02:04:39.5971183Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.5971305Z              12 RETURN_VALUE
2022-11-23T02:04:39.5971325Z 
2022-11-23T02:04:39.5971425Z  
2022-11-23T02:04:39.5971869Z [2022-11-23 01:58:25,825] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.5972036Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_280)
2022-11-23T02:04:39.5972148Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.5972283Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5972404Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.5972542Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.5972701Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.5972859Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5973002Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.5973097Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.5973245Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.5973380Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.5973506Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.5973635Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.5973750Z              26 RETURN_VALUE
2022-11-23T02:04:39.5973770Z 
2022-11-23T02:04:39.5973866Z  
2022-11-23T02:04:39.5974107Z [2022-11-23 01:58:25,826] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.5974221Z  - 
2022-11-23T02:04:39.5974397Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.5974500Z             {
2022-11-23T02:04:39.5974702Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.5974969Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.5975146Z                 'obj_weakref': None
2022-11-23T02:04:39.5975510Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.5975617Z             }
2022-11-23T02:04:39.5975714Z             
2022-11-23T02:04:39.5975827Z  - 
2022-11-23T02:04:39.5976016Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.5976554Z             {
2022-11-23T02:04:39.5976918Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.5977145Z                 'code': None,
2022-11-23T02:04:39.5977625Z                 'obj_weakref': <weakref at 0x7fa5321647c0; to 'Tensor' at 0x7fa5042ff6f0>
2022-11-23T02:04:39.5978147Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.5978251Z             }
2022-11-23T02:04:39.5978350Z             
2022-11-23T02:04:39.5978466Z  - 
2022-11-23T02:04:39.5978655Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.5978733Z             {
2022-11-23T02:04:39.5978966Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.5979217Z                 'code': ['___check_obj_id(model, 140347117828224)'],
2022-11-23T02:04:39.5979349Z                 'obj_weakref': None
2022-11-23T02:04:39.5979831Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.5979943Z             }
2022-11-23T02:04:39.5980044Z             
2022-11-23T02:04:39.5980134Z  - 
2022-11-23T02:04:39.5980335Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.5980420Z             {
2022-11-23T02:04:39.5980628Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.5980913Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.5981086Z                 'obj_weakref': None
2022-11-23T02:04:39.5981435Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.5981472Z             }
2022-11-23T02:04:39.5981599Z             
2022-11-23T02:04:39.5981689Z  - 
2022-11-23T02:04:39.5981880Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.5981982Z             {
2022-11-23T02:04:39.5982156Z                 'guard_types': None,
2022-11-23T02:04:39.5982311Z                 'code': None,
2022-11-23T02:04:39.5982461Z                 'obj_weakref': None
2022-11-23T02:04:39.5982637Z                 'guarded_class': None
2022-11-23T02:04:39.5982737Z             }
2022-11-23T02:04:39.5982837Z             
2022-11-23T02:04:39.5983194Z [2022-11-23 01:58:25,840] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 273
2022-11-23T02:04:39.5983686Z [2022-11-23 01:58:28,443] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yt/cytdcd3ssd3f5mlrkalzx6sm2ah26an5l4taus3cebdcmq27b3dw.py
2022-11-23T02:04:39.5984049Z [2022-11-23 01:58:28,443] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 273
2022-11-23T02:04:39.5984073Z 
2022-11-23T02:04:39.5984222Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.5984308Z import torch
2022-11-23T02:04:39.5984416Z import random
2022-11-23T02:04:39.5984584Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.5984760Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.5984783Z 
2022-11-23T02:04:39.5984904Z aten = torch.ops.aten
2022-11-23T02:04:39.5985099Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.5985240Z async_compile = AsyncCompile()
2022-11-23T02:04:39.5985260Z 
2022-11-23T02:04:39.5985278Z 
2022-11-23T02:04:39.5985472Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.5985733Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.5985958Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.5986111Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.5986254Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.5986445Z {
2022-11-23T02:04:39.5986593Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.5986696Z     {
2022-11-23T02:04:39.5986793Z         #pragma omp for 
2022-11-23T02:04:39.5986922Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.5987022Z         {
2022-11-23T02:04:39.5987241Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.5987368Z             auto tmp1 = tmp0.sqrt();
2022-11-23T02:04:39.5987515Z             auto tmp2 = tmp1.reciprocal();
2022-11-23T02:04:39.5987702Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.5987806Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T02:04:39.5987931Z             auto tmp5 = tmp4.sqrt();
2022-11-23T02:04:39.5988074Z             auto tmp6 = tmp5.reciprocal();
2022-11-23T02:04:39.5988258Z             auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:39.5988452Z             auto tmp8 = tmp6 - tmp7;
2022-11-23T02:04:39.5988596Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.5988733Z             tmp8.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.5988809Z         }
2022-11-23T02:04:39.5988952Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.5989081Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.5989240Z         {
2022-11-23T02:04:39.5989374Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.5989514Z             auto tmp1 = std::sqrt(tmp0);
2022-11-23T02:04:39.5989638Z             auto tmp2 = 1 / tmp1;
2022-11-23T02:04:39.5989764Z             auto tmp3 = static_cast<float>(1);
2022-11-23T02:04:39.5989892Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T02:04:39.5990030Z             auto tmp5 = std::sqrt(tmp4);
2022-11-23T02:04:39.5990152Z             auto tmp6 = 1 / tmp5;
2022-11-23T02:04:39.5990299Z             auto tmp7 = static_cast<float>(2);
2022-11-23T02:04:39.5990488Z             auto tmp8 = tmp6 - tmp7;
2022-11-23T02:04:39.5990617Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.5990722Z             out_ptr1[i0] = tmp8;
2022-11-23T02:04:39.5990823Z         }
2022-11-23T02:04:39.5990920Z     }
2022-11-23T02:04:39.5991014Z }
2022-11-23T02:04:39.5991134Z ''')
2022-11-23T02:04:39.5991154Z 
2022-11-23T02:04:39.5991173Z 
2022-11-23T02:04:39.5991316Z async_compile.wait(globals())
2022-11-23T02:04:39.5991431Z del async_compile
2022-11-23T02:04:39.5991452Z 
2022-11-23T02:04:39.5991539Z def call(args):
2022-11-23T02:04:39.5991649Z     arg0_1, = args
2022-11-23T02:04:39.5991757Z     args.clear()
2022-11-23T02:04:39.5992030Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5992299Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5992536Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.5992650Z     del arg0_1
2022-11-23T02:04:39.5992747Z     return (buf0, buf1, )
2022-11-23T02:04:39.5992790Z 
2022-11-23T02:04:39.5992812Z 
2022-11-23T02:04:39.5992907Z if __name__ == "__main__":
2022-11-23T02:04:39.5993074Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.5993252Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.5993529Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.5993695Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.5993715Z 
2022-11-23T02:04:39.5993824Z ok (2.648s)
2022-11-23T02:04:39.5994237Z   test_scatter1_cpu (__main__.CpuTests) ... [2022-11-23 01:58:28,453] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.5994669Z [2022-11-23 01:58:28,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.5994976Z [2022-11-23 01:58:28,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.5995326Z [2022-11-23 01:58:28,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.5995793Z [2022-11-23 01:58:28,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.5996235Z [2022-11-23 01:58:28,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5996703Z [2022-11-23 01:58:28,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5997139Z [2022-11-23 01:58:28,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.5997643Z [2022-11-23 01:58:28,454] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f78c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3669> 
2022-11-23T02:04:39.5997797Z  3670           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.5997943Z                2 LOAD_METHOD              1 (scatter)
2022-11-23T02:04:39.5998081Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.5998195Z                6 LOAD_FAST                1 (dim)
2022-11-23T02:04:39.5998382Z                8 LOAD_FAST                2 (index)
2022-11-23T02:04:39.5998528Z               10 LOAD_FAST                3 (b)
2022-11-23T02:04:39.5998664Z               12 CALL_METHOD              4
2022-11-23T02:04:39.5998781Z               14 RETURN_VALUE
2022-11-23T02:04:39.5998879Z  
2022-11-23T02:04:39.5998898Z 
2022-11-23T02:04:39.5999336Z [2022-11-23 01:58:28,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3670
2022-11-23T02:04:39.5999613Z [2022-11-23 01:58:28,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.6000031Z [2022-11-23 01:58:28,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.6000393Z [2022-11-23 01:58:28,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter)]
2022-11-23T02:04:39.6000786Z [2022-11-23 01:58:28,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter), TensorVariable()]
2022-11-23T02:04:39.6001300Z [2022-11-23 01:58:28,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6001766Z [2022-11-23 01:58:28,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.6002277Z [2022-11-23 01:58:28,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6002615Z [2022-11-23 01:58:28,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6003129Z [2022-11-23 01:58:28,465] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f78c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3669>
2022-11-23T02:04:39.6003465Z [2022-11-23 01:58:28,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6003789Z [2022-11-23 01:58:28,465] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6004111Z [2022-11-23 01:58:28,467] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6004459Z [2022-11-23 01:58:28,472] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6004725Z [2022-11-23 01:58:28,473] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6004991Z  __compiled_fn_281 <eval_with_key>.2163 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6005126Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6005256Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.6005385Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T02:04:39.6005651Z call_function, scatter, aten.scatter, (ex_0_, -1, ex_2_, ex_3_), {}
2022-11-23T02:04:39.6005779Z output, output, output, ((scatter,),), {}
2022-11-23T02:04:39.6005799Z 
2022-11-23T02:04:39.6006242Z [2022-11-23 01:58:28,474] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6006383Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6006519Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6006652Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6006795Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6006924Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6007067Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6007160Z              12 RETURN_VALUE
2022-11-23T02:04:39.6007180Z 
2022-11-23T02:04:39.6007274Z  
2022-11-23T02:04:39.6007775Z [2022-11-23 01:58:28,474] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6007940Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_281)
2022-11-23T02:04:39.6008075Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6008215Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6008336Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6008446Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6008580Z              10 LOAD_CONST               2 (2)
2022-11-23T02:04:39.6008697Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.6008830Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6008971Z              16 LOAD_CONST               3 (3)
2022-11-23T02:04:39.6009087Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.6009222Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.6009353Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.6009451Z              24 RETURN_VALUE
2022-11-23T02:04:39.6009471Z 
2022-11-23T02:04:39.6009569Z  
2022-11-23T02:04:39.6009837Z [2022-11-23 01:58:28,475] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6009948Z  - 
2022-11-23T02:04:39.6010122Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6010229Z             {
2022-11-23T02:04:39.6010433Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6010670Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 4'],
2022-11-23T02:04:39.6010845Z                 'obj_weakref': None
2022-11-23T02:04:39.6011152Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6011257Z             }
2022-11-23T02:04:39.6011356Z             
2022-11-23T02:04:39.6011467Z  - 
2022-11-23T02:04:39.6011644Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6011721Z             {
2022-11-23T02:04:39.6011921Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6012088Z                 'code': None,
2022-11-23T02:04:39.6012384Z                 'obj_weakref': <weakref at 0x7fa5321657b0; to 'Tensor' at 0x7fa51c361580>
2022-11-23T02:04:39.6012731Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6012832Z             }
2022-11-23T02:04:39.6012931Z             
2022-11-23T02:04:39.6013018Z  - 
2022-11-23T02:04:39.6013211Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T02:04:39.6013313Z             {
2022-11-23T02:04:39.6013518Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.6013783Z                 'code': ['___check_type_id(ex[1], 93849050129792)', 'ex[1] == -1'],
2022-11-23T02:04:39.6014024Z                 'obj_weakref': None
2022-11-23T02:04:39.6014329Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.6014405Z             }
2022-11-23T02:04:39.6014507Z             
2022-11-23T02:04:39.6014625Z  - 
2022-11-23T02:04:39.6014805Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.6014908Z             {
2022-11-23T02:04:39.6015114Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6015274Z                 'code': None,
2022-11-23T02:04:39.6015537Z                 'obj_weakref': <weakref at 0x7fa532167420; to 'Tensor' at 0x7fa5042ff6f0>
2022-11-23T02:04:39.6015881Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6015988Z             }
2022-11-23T02:04:39.6016566Z             
2022-11-23T02:04:39.6016762Z  - 
2022-11-23T02:04:39.6017065Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T02:04:39.6017233Z             {
2022-11-23T02:04:39.6017542Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6017804Z                 'code': None,
2022-11-23T02:04:39.6018247Z                 'obj_weakref': <weakref at 0x7fa532164450; to 'Tensor' at 0x7fa62380c1d0>
2022-11-23T02:04:39.6018736Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6018850Z             }
2022-11-23T02:04:39.6018951Z             
2022-11-23T02:04:39.6019064Z  - 
2022-11-23T02:04:39.6019231Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6019332Z             {
2022-11-23T02:04:39.6019526Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6019768Z                 'code': ['___check_obj_id(model, 140347119653728)'],
2022-11-23T02:04:39.6019940Z                 'obj_weakref': None
2022-11-23T02:04:39.6020252Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6020354Z             }
2022-11-23T02:04:39.6020430Z             
2022-11-23T02:04:39.6020542Z  - 
2022-11-23T02:04:39.6020719Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6020821Z             {
2022-11-23T02:04:39.6021016Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6021314Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6021490Z                 'obj_weakref': None
2022-11-23T02:04:39.6021773Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6021880Z             }
2022-11-23T02:04:39.6021985Z             
2022-11-23T02:04:39.6022094Z  - 
2022-11-23T02:04:39.6022279Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.6022383Z             {
2022-11-23T02:04:39.6022555Z                 'guard_types': None,
2022-11-23T02:04:39.6022690Z                 'code': None,
2022-11-23T02:04:39.6022916Z                 'obj_weakref': None
2022-11-23T02:04:39.6023096Z                 'guarded_class': None
2022-11-23T02:04:39.6023196Z             }
2022-11-23T02:04:39.6023295Z             
2022-11-23T02:04:39.6023658Z [2022-11-23 01:58:28,486] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 274
2022-11-23T02:04:39.6024151Z [2022-11-23 01:58:31,081] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d3/cd35abr3su2svho5oddjctdkuvw5bympcuotmsubw5pla3uk4rz4.py
2022-11-23T02:04:39.6024492Z [2022-11-23 01:58:31,082] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 274
2022-11-23T02:04:39.6024539Z 
2022-11-23T02:04:39.6024656Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6024767Z import torch
2022-11-23T02:04:39.6024879Z import random
2022-11-23T02:04:39.6025047Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6025221Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6025240Z 
2022-11-23T02:04:39.6025451Z aten = torch.ops.aten
2022-11-23T02:04:39.6025644Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6025761Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6025780Z 
2022-11-23T02:04:39.6025798Z 
2022-11-23T02:04:39.6025999Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6026284Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6026458Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6026615Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:39.6026768Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.6026916Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.6027014Z {
2022-11-23T02:04:39.6027112Z     #pragma GCC ivdep
2022-11-23T02:04:39.6027238Z     for(long i0=0; i0<6; i0+=1)
2022-11-23T02:04:39.6027332Z     {
2022-11-23T02:04:39.6027432Z         {
2022-11-23T02:04:39.6027539Z             {
2022-11-23T02:04:39.6027672Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.6027773Z                 out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.6027874Z             }
2022-11-23T02:04:39.6027972Z         }
2022-11-23T02:04:39.6028074Z     }
2022-11-23T02:04:39.6028218Z     {
2022-11-23T02:04:39.6028321Z         {
2022-11-23T02:04:39.6028453Z             auto tmp0 = in_ptr1[0];
2022-11-23T02:04:39.6028553Z             auto tmp1 = in_ptr2[0];
2022-11-23T02:04:39.6028678Z             out_ptr0[tmp0] = tmp1;
2022-11-23T02:04:39.6028780Z         }
2022-11-23T02:04:39.6028873Z     }
2022-11-23T02:04:39.6028969Z }
2022-11-23T02:04:39.6029098Z ''')
2022-11-23T02:04:39.6029117Z 
2022-11-23T02:04:39.6029136Z 
2022-11-23T02:04:39.6029274Z async_compile.wait(globals())
2022-11-23T02:04:39.6029363Z del async_compile
2022-11-23T02:04:39.6029382Z 
2022-11-23T02:04:39.6029493Z def call(args):
2022-11-23T02:04:39.6029618Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.6029733Z     args.clear()
2022-11-23T02:04:39.6030013Z     buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6030280Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.6030392Z     del arg0_1
2022-11-23T02:04:39.6030476Z     del arg1_1
2022-11-23T02:04:39.6030587Z     del arg2_1
2022-11-23T02:04:39.6030698Z     return (buf0, )
2022-11-23T02:04:39.6030717Z 
2022-11-23T02:04:39.6030735Z 
2022-11-23T02:04:39.6030853Z if __name__ == "__main__":
2022-11-23T02:04:39.6031023Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6031244Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6031518Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6031748Z     arg1_1 = rand_strided((1, 1), (1, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.6031992Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6032175Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.6032194Z 
2022-11-23T02:04:39.6032301Z ok (2.638s)
2022-11-23T02:04:39.6032721Z   test_scatter2_cpu (__main__.CpuTests) ... [2022-11-23 01:58:31,090] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6033157Z [2022-11-23 01:58:31,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6033461Z [2022-11-23 01:58:31,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6033810Z [2022-11-23 01:58:31,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6034192Z [2022-11-23 01:58:31,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6034627Z [2022-11-23 01:58:31,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6035147Z [2022-11-23 01:58:31,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6035586Z [2022-11-23 01:58:31,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6036092Z [2022-11-23 01:58:31,091] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f78df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3686> 
2022-11-23T02:04:39.6036237Z  3687           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.6036380Z                2 LOAD_ATTR                1 (scatter)
2022-11-23T02:04:39.6036520Z                4 LOAD_ATTR                2 (reduce)
2022-11-23T02:04:39.6036658Z                6 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6036799Z                8 LOAD_FAST                1 (dim)
2022-11-23T02:04:39.6036934Z               10 LOAD_FAST                2 (index)
2022-11-23T02:04:39.6037045Z               12 LOAD_FAST                3 (b)
2022-11-23T02:04:39.6037300Z               14 LOAD_CONST               1 ('add')
2022-11-23T02:04:39.6037523Z               16 LOAD_CONST               2 (('reduce',))
2022-11-23T02:04:39.6037666Z               18 CALL_FUNCTION_KW         5
2022-11-23T02:04:39.6037784Z               20 RETURN_VALUE
2022-11-23T02:04:39.6037881Z  
2022-11-23T02:04:39.6037900Z 
2022-11-23T02:04:39.6038329Z [2022-11-23 01:58:31,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3687
2022-11-23T02:04:39.6038607Z [2022-11-23 01:58:31,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.6039027Z [2022-11-23 01:58:31,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.6039391Z [2022-11-23 01:58:31,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reduce [TorchVariable(aten.scatter)]
2022-11-23T02:04:39.6039763Z [2022-11-23 01:58:31,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter.reduce)]
2022-11-23T02:04:39.6040171Z [2022-11-23 01:58:31,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter.reduce), TensorVariable()]
2022-11-23T02:04:39.6040631Z [2022-11-23 01:58:31,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6041113Z [2022-11-23 01:58:31,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.6041638Z [2022-11-23 01:58:31,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST add [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6042241Z [2022-11-23 01:58:31,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('reduce',) [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:39.6042882Z [2022-11-23 01:58:31,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:39.6043222Z [2022-11-23 01:58:31,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6043736Z [2022-11-23 01:58:31,103] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f78df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3686>
2022-11-23T02:04:39.6044123Z [2022-11-23 01:58:31,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6044444Z [2022-11-23 01:58:31,104] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6044793Z [2022-11-23 01:58:31,105] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6045140Z [2022-11-23 01:58:31,110] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6045405Z [2022-11-23 01:58:31,111] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6045600Z  __compiled_fn_282 <eval_with_key>.2169 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6045736Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6045865Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.6045998Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T02:04:39.6046295Z call_function, scatter_reduce, aten.scatter.reduce, (ex_0_, 0, ex_2_, ex_3_), {'reduce': 'add'}
2022-11-23T02:04:39.6046465Z output, output, output, ((scatter_reduce,),), {}
2022-11-23T02:04:39.6046485Z 
2022-11-23T02:04:39.6046978Z [2022-11-23 01:58:31,112] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6047132Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6047269Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6047407Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6047548Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6047679Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6047790Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6047911Z              12 RETURN_VALUE
2022-11-23T02:04:39.6047931Z 
2022-11-23T02:04:39.6048025Z  
2022-11-23T02:04:39.6048460Z [2022-11-23 01:58:31,112] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6048627Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_282)
2022-11-23T02:04:39.6048763Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6048900Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6048997Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6049134Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6049263Z              10 LOAD_CONST               2 (2)
2022-11-23T02:04:39.6049384Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.6049515Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6049646Z              16 LOAD_CONST               3 (3)
2022-11-23T02:04:39.6049761Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.6049870Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.6050005Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.6050121Z              24 RETURN_VALUE
2022-11-23T02:04:39.6050146Z 
2022-11-23T02:04:39.6050243Z  
2022-11-23T02:04:39.6050510Z [2022-11-23 01:58:31,113] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6050622Z  - 
2022-11-23T02:04:39.6050796Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6050879Z             {
2022-11-23T02:04:39.6051079Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6051343Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 4'],
2022-11-23T02:04:39.6051518Z                 'obj_weakref': None
2022-11-23T02:04:39.6051828Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6051935Z             }
2022-11-23T02:04:39.6052035Z             
2022-11-23T02:04:39.6052124Z  - 
2022-11-23T02:04:39.6052313Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6052417Z             {
2022-11-23T02:04:39.6052621Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6052848Z                 'code': None,
2022-11-23T02:04:39.6053140Z                 'obj_weakref': <weakref at 0x7fa532164770; to 'Tensor' at 0x7fa51c3e4450>
2022-11-23T02:04:39.6053495Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6053602Z             }
2022-11-23T02:04:39.6053680Z             
2022-11-23T02:04:39.6053787Z  - 
2022-11-23T02:04:39.6053975Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T02:04:39.6054076Z             {
2022-11-23T02:04:39.6054282Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.6054537Z                 'code': ['___check_type_id(ex[1], 93849050129792)', 'ex[1] == 0'],
2022-11-23T02:04:39.6054688Z                 'obj_weakref': None
2022-11-23T02:04:39.6054996Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.6055096Z             }
2022-11-23T02:04:39.6055195Z             
2022-11-23T02:04:39.6055310Z  - 
2022-11-23T02:04:39.6055493Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.6055597Z             {
2022-11-23T02:04:39.6055778Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6055935Z                 'code': None,
2022-11-23T02:04:39.6057126Z                 'obj_weakref': <weakref at 0x7fa5321e8b30; to 'Tensor' at 0x7fa53c3ac0e0>
2022-11-23T02:04:39.6057749Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6057909Z             }
2022-11-23T02:04:39.6058068Z             
2022-11-23T02:04:39.6058244Z  - 
2022-11-23T02:04:39.6058468Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T02:04:39.6058572Z             {
2022-11-23T02:04:39.6058777Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6058932Z                 'code': None,
2022-11-23T02:04:39.6059224Z                 'obj_weakref': <weakref at 0x7fa5321e8540; to 'Tensor' at 0x7fa55031c180>
2022-11-23T02:04:39.6059579Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6059680Z             }
2022-11-23T02:04:39.6059783Z             
2022-11-23T02:04:39.6059870Z  - 
2022-11-23T02:04:39.6060064Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6060164Z             {
2022-11-23T02:04:39.6060356Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6060589Z                 'code': ['___check_obj_id(model, 140347119653728)'],
2022-11-23T02:04:39.6060761Z                 'obj_weakref': None
2022-11-23T02:04:39.6061073Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6061151Z             }
2022-11-23T02:04:39.6061251Z             
2022-11-23T02:04:39.6061358Z  - 
2022-11-23T02:04:39.6061537Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6061634Z             {
2022-11-23T02:04:39.6061834Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6062119Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6062292Z                 'obj_weakref': None
2022-11-23T02:04:39.6062606Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6062704Z             }
2022-11-23T02:04:39.6062804Z             
2022-11-23T02:04:39.6062914Z  - 
2022-11-23T02:04:39.6063097Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.6063173Z             {
2022-11-23T02:04:39.6063346Z                 'guard_types': None,
2022-11-23T02:04:39.6063499Z                 'code': None,
2022-11-23T02:04:39.6063669Z                 'obj_weakref': None
2022-11-23T02:04:39.6063845Z                 'guarded_class': None
2022-11-23T02:04:39.6063948Z             }
2022-11-23T02:04:39.6064048Z             
2022-11-23T02:04:39.6064383Z [2022-11-23 01:58:31,123] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 275
2022-11-23T02:04:39.6065031Z [2022-11-23 01:58:33,708] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tu/ctu4bqtgp65lnvowphlnw5twvneya5ziwdlacmvcjvhogwwh67p3.py
2022-11-23T02:04:39.6065397Z [2022-11-23 01:58:33,709] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 275
2022-11-23T02:04:39.6065422Z 
2022-11-23T02:04:39.6065563Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6065676Z import torch
2022-11-23T02:04:39.6065786Z import random
2022-11-23T02:04:39.6065953Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6066134Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6066153Z 
2022-11-23T02:04:39.6066250Z aten = torch.ops.aten
2022-11-23T02:04:39.6066443Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6066579Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6066598Z 
2022-11-23T02:04:39.6066617Z 
2022-11-23T02:04:39.6066813Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6067107Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6067283Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6067495Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:39.6067655Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.6067778Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.6067876Z {
2022-11-23T02:04:39.6068028Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6068128Z     {
2022-11-23T02:04:39.6068248Z         #pragma omp for 
2022-11-23T02:04:39.6068373Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T02:04:39.6068474Z         {
2022-11-23T02:04:39.6068674Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.6068810Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.6068910Z         }
2022-11-23T02:04:39.6069058Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.6069192Z         for(long i0=32768; i0<32768; i0+=1)
2022-11-23T02:04:39.6069292Z         {
2022-11-23T02:04:39.6069420Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.6069519Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.6069617Z         }
2022-11-23T02:04:39.6069734Z         #pragma omp for 
2022-11-23T02:04:39.6069859Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:39.6069960Z         {
2022-11-23T02:04:39.6070079Z             #pragma GCC ivdep
2022-11-23T02:04:39.6070209Z             for(long i1=0; i1<512; i1+=1)
2022-11-23T02:04:39.6070289Z             {
2022-11-23T02:04:39.6070389Z                 {
2022-11-23T02:04:39.6070490Z                     {
2022-11-23T02:04:39.6070644Z                         auto tmp0 = in_ptr1[i1 + (512*i0)];
2022-11-23T02:04:39.6070797Z                         auto tmp1 = in_ptr2[i1 + (512*i0)];
2022-11-23T02:04:39.6070967Z                         atomic_add(&out_ptr0[i1 + (512*tmp0)], tmp1);
2022-11-23T02:04:39.6071077Z                     }
2022-11-23T02:04:39.6071155Z                 }
2022-11-23T02:04:39.6071256Z             }
2022-11-23T02:04:39.6071359Z         }
2022-11-23T02:04:39.6071465Z     }
2022-11-23T02:04:39.6071563Z }
2022-11-23T02:04:39.6071688Z ''')
2022-11-23T02:04:39.6071715Z 
2022-11-23T02:04:39.6071733Z 
2022-11-23T02:04:39.6071870Z async_compile.wait(globals())
2022-11-23T02:04:39.6071961Z del async_compile
2022-11-23T02:04:39.6071980Z 
2022-11-23T02:04:39.6072094Z def call(args):
2022-11-23T02:04:39.6072218Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.6072330Z     args.clear()
2022-11-23T02:04:39.6072615Z     buf0 = empty_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6072880Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.6072991Z     del arg0_1
2022-11-23T02:04:39.6073073Z     del arg1_1
2022-11-23T02:04:39.6073179Z     del arg2_1
2022-11-23T02:04:39.6073353Z     return (buf0, )
2022-11-23T02:04:39.6073372Z 
2022-11-23T02:04:39.6073390Z 
2022-11-23T02:04:39.6073510Z if __name__ == "__main__":
2022-11-23T02:04:39.6073677Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6073860Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6074148Z     arg0_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6074422Z     arg1_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.6074679Z     arg2_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6074861Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.6074881Z 
2022-11-23T02:04:39.6074990Z ok (2.629s)
2022-11-23T02:04:39.6075410Z   test_scatter3_cpu (__main__.CpuTests) ... [2022-11-23 01:58:33,722] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6075895Z [2022-11-23 01:58:33,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6076200Z [2022-11-23 01:58:33,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6076653Z [2022-11-23 01:58:33,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6077043Z [2022-11-23 01:58:33,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6077472Z [2022-11-23 01:58:33,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6077912Z [2022-11-23 01:58:33,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6078354Z [2022-11-23 01:58:33,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6078864Z [2022-11-23 01:58:33,724] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f78f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3700> 
2022-11-23T02:04:39.6079007Z  3701           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.6079152Z                2 LOAD_ATTR                1 (scatter)
2022-11-23T02:04:39.6079290Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6079427Z                6 LOAD_FAST                1 (dim)
2022-11-23T02:04:39.6079566Z                8 LOAD_FAST                2 (index)
2022-11-23T02:04:39.6079700Z               10 LOAD_FAST                3 (b)
2022-11-23T02:04:39.6079882Z               12 LOAD_CONST               1 ('add')
2022-11-23T02:04:39.6080092Z               14 LOAD_CONST               2 (('reduce',))
2022-11-23T02:04:39.6080228Z               16 CALL_FUNCTION_KW         5
2022-11-23T02:04:39.6080353Z               18 RETURN_VALUE
2022-11-23T02:04:39.6080450Z  
2022-11-23T02:04:39.6080469Z 
2022-11-23T02:04:39.6080902Z [2022-11-23 01:58:33,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3701
2022-11-23T02:04:39.6081204Z [2022-11-23 01:58:33,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.6081627Z [2022-11-23 01:58:33,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.6081952Z [2022-11-23 01:58:33,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter)]
2022-11-23T02:04:39.6082344Z [2022-11-23 01:58:33,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter), TensorVariable()]
2022-11-23T02:04:39.6082784Z [2022-11-23 01:58:33,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6083321Z [2022-11-23 01:58:33,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.6083847Z [2022-11-23 01:58:33,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST add [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.6084441Z [2022-11-23 01:58:33,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('reduce',) [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float), ConstantVariable(str)]
2022-11-23T02:04:39.6085086Z [2022-11-23 01:58:33,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T02:04:39.6085432Z [2022-11-23 01:58:33,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6086063Z [2022-11-23 01:58:33,739] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f78f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3700>
2022-11-23T02:04:39.6086414Z [2022-11-23 01:58:33,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6086738Z [2022-11-23 01:58:33,739] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6087086Z [2022-11-23 01:58:33,741] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6087409Z [2022-11-23 01:58:33,752] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6087676Z [2022-11-23 01:58:33,752] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6087874Z  __compiled_fn_283 <eval_with_key>.2175 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6088012Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6088147Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.6088433Z call_function, scatter, aten.scatter, (ex_0_, 2, ex_2_, 0.8), {'reduce': 'add'}
2022-11-23T02:04:39.6088592Z output, output, output, ((scatter,),), {}
2022-11-23T02:04:39.6088612Z 
2022-11-23T02:04:39.6089052Z [2022-11-23 01:58:33,753] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6089169Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6089304Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6089438Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6089579Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6089706Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6089849Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6089968Z              12 RETURN_VALUE
2022-11-23T02:04:39.6089988Z 
2022-11-23T02:04:39.6090061Z  
2022-11-23T02:04:39.6090503Z [2022-11-23 01:58:33,753] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6090664Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_283)
2022-11-23T02:04:39.6090804Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6090940Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6091058Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6091191Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6091324Z              10 LOAD_CONST               2 (2)
2022-11-23T02:04:39.6091418Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.6091556Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.6091762Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.6091885Z              18 RETURN_VALUE
2022-11-23T02:04:39.6091905Z 
2022-11-23T02:04:39.6092001Z  
2022-11-23T02:04:39.6092266Z [2022-11-23 01:58:33,755] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6092376Z  - 
2022-11-23T02:04:39.6092530Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6092634Z             {
2022-11-23T02:04:39.6092837Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6093093Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 4'],
2022-11-23T02:04:39.6093270Z                 'obj_weakref': None
2022-11-23T02:04:39.6093582Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6093685Z             }
2022-11-23T02:04:39.6093763Z             
2022-11-23T02:04:39.6093873Z  - 
2022-11-23T02:04:39.6094056Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6094161Z             {
2022-11-23T02:04:39.6094372Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6094530Z                 'code': None,
2022-11-23T02:04:39.6094825Z                 'obj_weakref': <weakref at 0x7fa5321eae30; to 'Tensor' at 0x7fa531e86660>
2022-11-23T02:04:39.6095201Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6095310Z             }
2022-11-23T02:04:39.6095414Z             
2022-11-23T02:04:39.6095531Z  - 
2022-11-23T02:04:39.6095720Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T02:04:39.6095821Z             {
2022-11-23T02:04:39.6096411Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.6096885Z                 'code': ['___check_type_id(ex[1], 93849050129792)', 'ex[1] == 2'],
2022-11-23T02:04:39.6097073Z                 'obj_weakref': None
2022-11-23T02:04:39.6097384Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.6097496Z             }
2022-11-23T02:04:39.6097595Z             
2022-11-23T02:04:39.6097705Z  - 
2022-11-23T02:04:39.6097884Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.6097961Z             {
2022-11-23T02:04:39.6098163Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6098326Z                 'code': None,
2022-11-23T02:04:39.6098620Z                 'obj_weakref': <weakref at 0x7fa531f7e7f0; to 'Tensor' at 0x7fa51c361580>
2022-11-23T02:04:39.6098966Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6099067Z             }
2022-11-23T02:04:39.6099168Z             
2022-11-23T02:04:39.6099253Z  - 
2022-11-23T02:04:39.6099441Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T02:04:39.6099546Z             {
2022-11-23T02:04:39.6099747Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.6100013Z                 'code': ['___check_type_id(ex[3], 93849050133536)', 'ex[3] == 0.8'],
2022-11-23T02:04:39.6100188Z                 'obj_weakref': None
2022-11-23T02:04:39.6100495Z                 'guarded_class': <weakref at 0x7fa6421d7510; to 'type' at 0x555aef4bb420 (float)>
2022-11-23T02:04:39.6100574Z             }
2022-11-23T02:04:39.6100675Z             
2022-11-23T02:04:39.6100795Z  - 
2022-11-23T02:04:39.6100984Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6101088Z             {
2022-11-23T02:04:39.6101279Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6101516Z                 'code': ['___check_obj_id(model, 140347119653728)'],
2022-11-23T02:04:39.6101664Z                 'obj_weakref': None
2022-11-23T02:04:39.6102032Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6102135Z             }
2022-11-23T02:04:39.6102231Z             
2022-11-23T02:04:39.6102333Z  - 
2022-11-23T02:04:39.6102504Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6102599Z             {
2022-11-23T02:04:39.6102920Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6103212Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6103377Z                 'obj_weakref': None
2022-11-23T02:04:39.6103676Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6103772Z             }
2022-11-23T02:04:39.6103865Z             
2022-11-23T02:04:39.6103969Z  - 
2022-11-23T02:04:39.6104133Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.6104231Z             {
2022-11-23T02:04:39.6104399Z                 'guard_types': None,
2022-11-23T02:04:39.6104552Z                 'code': None,
2022-11-23T02:04:39.6104715Z                 'obj_weakref': None
2022-11-23T02:04:39.6104884Z                 'guarded_class': None
2022-11-23T02:04:39.6104978Z             }
2022-11-23T02:04:39.6105054Z             
2022-11-23T02:04:39.6105408Z [2022-11-23 01:58:33,763] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 276
2022-11-23T02:04:39.6105905Z [2022-11-23 01:58:36,429] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2l/c2lqqg34dm5aafjkwe2h5kmifmzhg6eu3dt2fpmnnbghqlnwmo63.py
2022-11-23T02:04:39.6106406Z [2022-11-23 01:58:36,429] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 276
2022-11-23T02:04:39.6106434Z 
2022-11-23T02:04:39.6106577Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6106683Z import torch
2022-11-23T02:04:39.6106791Z import random
2022-11-23T02:04:39.6106962Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6107116Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6107135Z 
2022-11-23T02:04:39.6107251Z aten = torch.ops.aten
2022-11-23T02:04:39.6107444Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6107578Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6107598Z 
2022-11-23T02:04:39.6107620Z 
2022-11-23T02:04:39.6107816Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6108095Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6108267Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6108419Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:39.6108542Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.6108632Z {
2022-11-23T02:04:39.6108774Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6108867Z     {
2022-11-23T02:04:39.6108982Z         #pragma omp for 
2022-11-23T02:04:39.6109105Z         for(long i0=0; i0<235; i0+=1)
2022-11-23T02:04:39.6109200Z         {
2022-11-23T02:04:39.6109408Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.6109543Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.6109634Z         }
2022-11-23T02:04:39.6109771Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.6109900Z         for(long i0=1880; i0<1885; i0+=1)
2022-11-23T02:04:39.6109994Z         {
2022-11-23T02:04:39.6110118Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.6110217Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.6110318Z         }
2022-11-23T02:04:39.6110437Z         #pragma omp single
2022-11-23T02:04:39.6110536Z         {
2022-11-23T02:04:39.6110652Z             #pragma GCC ivdep
2022-11-23T02:04:39.6110776Z             for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.6110854Z             {
2022-11-23T02:04:39.6110952Z                 {
2022-11-23T02:04:39.6111055Z                     {
2022-11-23T02:04:39.6111193Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T02:04:39.6111346Z                         auto tmp1 = static_cast<float>(0.8);
2022-11-23T02:04:39.6111498Z                         atomic_add(&out_ptr0[tmp0], tmp1);
2022-11-23T02:04:39.6111598Z                     }
2022-11-23T02:04:39.6111675Z                 }
2022-11-23T02:04:39.6111849Z             }
2022-11-23T02:04:39.6111943Z         }
2022-11-23T02:04:39.6112037Z     }
2022-11-23T02:04:39.6112129Z }
2022-11-23T02:04:39.6112259Z ''')
2022-11-23T02:04:39.6112278Z 
2022-11-23T02:04:39.6112297Z 
2022-11-23T02:04:39.6112435Z async_compile.wait(globals())
2022-11-23T02:04:39.6112529Z del async_compile
2022-11-23T02:04:39.6112547Z 
2022-11-23T02:04:39.6112656Z def call(args):
2022-11-23T02:04:39.6112769Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.6112876Z     args.clear()
2022-11-23T02:04:39.6113168Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6113399Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.6113508Z     del arg0_1
2022-11-23T02:04:39.6113590Z     del arg1_1
2022-11-23T02:04:39.6113703Z     return (buf0, )
2022-11-23T02:04:39.6113722Z 
2022-11-23T02:04:39.6113740Z 
2022-11-23T02:04:39.6113859Z if __name__ == "__main__":
2022-11-23T02:04:39.6114031Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6114213Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6114510Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6114842Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.6115026Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.6115045Z 
2022-11-23T02:04:39.6115128Z ok (2.718s)
2022-11-23T02:04:39.6115552Z   test_scatter4_cpu (__main__.CpuTests) ... [2022-11-23 01:58:36,440] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6115981Z [2022-11-23 01:58:36,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6116285Z [2022-11-23 01:58:36,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6116639Z [2022-11-23 01:58:36,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6117015Z [2022-11-23 01:58:36,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6117447Z [2022-11-23 01:58:36,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6117925Z [2022-11-23 01:58:36,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6118360Z [2022-11-23 01:58:36,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6118870Z [2022-11-23 01:58:36,441] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f790b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3719> 
2022-11-23T02:04:39.6119020Z  3720           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.6119143Z                2 LOAD_METHOD              1 (scatter)
2022-11-23T02:04:39.6119276Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.6119421Z                6 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6119560Z                8 LOAD_FAST                1 (ind)
2022-11-23T02:04:39.6119695Z               10 LOAD_FAST                2 (src)
2022-11-23T02:04:39.6119831Z               12 CALL_METHOD              4
2022-11-23T02:04:39.6119951Z               14 RETURN_VALUE
2022-11-23T02:04:39.6120024Z  
2022-11-23T02:04:39.6120044Z 
2022-11-23T02:04:39.6120479Z [2022-11-23 01:58:36,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3720
2022-11-23T02:04:39.6120781Z [2022-11-23 01:58:36,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.6121346Z [2022-11-23 01:58:36,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.6121792Z [2022-11-23 01:58:36,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method scatter of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.6122264Z [2022-11-23 01:58:36,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method scatter of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.6122790Z [2022-11-23 01:58:36,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ind [TorchVariable(<built-in method scatter of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6123354Z [2022-11-23 01:58:36,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src [TorchVariable(<built-in method scatter of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.6124018Z [2022-11-23 01:58:36,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(<built-in method scatter of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6124366Z [2022-11-23 01:58:36,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6124876Z [2022-11-23 01:58:36,444] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f790b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3719>
2022-11-23T02:04:39.6125211Z [2022-11-23 01:58:36,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6125515Z [2022-11-23 01:58:36,444] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6125872Z [2022-11-23 01:58:36,446] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6126227Z [2022-11-23 01:58:36,451] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6126493Z [2022-11-23 01:58:36,452] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6126689Z  __compiled_fn_284 <eval_with_key>.2181 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6126829Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6126960Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.6127090Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.6127419Z call_function, scatter, <built-in method scatter of type object at 0x7fa5855aec60>, (ex_0_, 0, ex_1_, ex_2_), {}
2022-11-23T02:04:39.6127575Z output, output, output, ((scatter,),), {}
2022-11-23T02:04:39.6127597Z 
2022-11-23T02:04:39.6128035Z [2022-11-23 01:58:36,452] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6128186Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6128322Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6128453Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6128594Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6128726Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6128838Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6128954Z              12 RETURN_VALUE
2022-11-23T02:04:39.6128974Z 
2022-11-23T02:04:39.6129067Z  
2022-11-23T02:04:39.6129502Z [2022-11-23 01:58:36,453] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6129662Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_284)
2022-11-23T02:04:39.6129795Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6129931Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6130144Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6130255Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6130390Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6130506Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.6130646Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6130774Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.6130893Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.6131028Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.6131141Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.6131259Z              24 RETURN_VALUE
2022-11-23T02:04:39.6131278Z 
2022-11-23T02:04:39.6131374Z  
2022-11-23T02:04:39.6131638Z [2022-11-23 01:58:36,454] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6131750Z  - 
2022-11-23T02:04:39.6131922Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6132024Z             {
2022-11-23T02:04:39.6132207Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6132473Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.6132647Z                 'obj_weakref': None
2022-11-23T02:04:39.6133022Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6133132Z             }
2022-11-23T02:04:39.6133233Z             
2022-11-23T02:04:39.6133351Z  - 
2022-11-23T02:04:39.6133509Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6133611Z             {
2022-11-23T02:04:39.6133816Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6133975Z                 'code': None,
2022-11-23T02:04:39.6134267Z                 'obj_weakref': <weakref at 0x7fa5321e8c70; to 'Tensor' at 0x7fa55a05c770>
2022-11-23T02:04:39.6134614Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6134716Z             }
2022-11-23T02:04:39.6134798Z             
2022-11-23T02:04:39.6134908Z  - 
2022-11-23T02:04:39.6135089Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.6135190Z             {
2022-11-23T02:04:39.6135397Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6135563Z                 'code': None,
2022-11-23T02:04:39.6135855Z                 'obj_weakref': <weakref at 0x7fa5321eba60; to 'Tensor' at 0x7fa52467e3e0>
2022-11-23T02:04:39.6136778Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6136956Z             }
2022-11-23T02:04:39.6137109Z             
2022-11-23T02:04:39.6137302Z  - 
2022-11-23T02:04:39.6137604Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.6137757Z             {
2022-11-23T02:04:39.6138109Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6138334Z                 'code': None,
2022-11-23T02:04:39.6138673Z                 'obj_weakref': <weakref at 0x7fa53c3aefc0; to 'Tensor' at 0x7fa52467c590>
2022-11-23T02:04:39.6139022Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6139123Z             }
2022-11-23T02:04:39.6139226Z             
2022-11-23T02:04:39.6139343Z  - 
2022-11-23T02:04:39.6139535Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6139611Z             {
2022-11-23T02:04:39.6139801Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6140043Z                 'code': ['___check_obj_id(model, 140347119653728)'],
2022-11-23T02:04:39.6140216Z                 'obj_weakref': None
2022-11-23T02:04:39.6140530Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6140628Z             }
2022-11-23T02:04:39.6140730Z             
2022-11-23T02:04:39.6140814Z  - 
2022-11-23T02:04:39.6140991Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6141091Z             {
2022-11-23T02:04:39.6141445Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6141743Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6141912Z                 'obj_weakref': None
2022-11-23T02:04:39.6142217Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6142300Z             }
2022-11-23T02:04:39.6142396Z             
2022-11-23T02:04:39.6142501Z  - 
2022-11-23T02:04:39.6142689Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.6142789Z             {
2022-11-23T02:04:39.6142965Z                 'guard_types': None,
2022-11-23T02:04:39.6143118Z                 'code': None,
2022-11-23T02:04:39.6143264Z                 'obj_weakref': None
2022-11-23T02:04:39.6143436Z                 'guarded_class': None
2022-11-23T02:04:39.6143534Z             }
2022-11-23T02:04:39.6143631Z             
2022-11-23T02:04:39.6143985Z [2022-11-23 01:58:36,463] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 277
2022-11-23T02:04:39.6144479Z [2022-11-23 01:58:39,100] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5i/c5iyen4bvzehp6fcq5hyhpjif2bgxk3hyg2f7tbys3lsliuy45pi.py
2022-11-23T02:04:39.6144930Z [2022-11-23 01:58:39,101] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 277
2022-11-23T02:04:39.6144954Z 
2022-11-23T02:04:39.6145099Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6145186Z import torch
2022-11-23T02:04:39.6145292Z import random
2022-11-23T02:04:39.6145456Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6145627Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6145646Z 
2022-11-23T02:04:39.6145762Z aten = torch.ops.aten
2022-11-23T02:04:39.6145951Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6146086Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6146106Z 
2022-11-23T02:04:39.6146128Z 
2022-11-23T02:04:39.6146302Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6146582Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6146752Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6146904Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:39.6147055Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.6147199Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.6147295Z {
2022-11-23T02:04:39.6147440Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6147517Z     {
2022-11-23T02:04:39.6147633Z         #pragma omp for 
2022-11-23T02:04:39.6147757Z         for(long i0=0; i0<24304; i0+=1)
2022-11-23T02:04:39.6147859Z         {
2022-11-23T02:04:39.6148075Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.6148209Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.6148309Z         }
2022-11-23T02:04:39.6148429Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.6148562Z         for(long i0=194432; i0<194432; i0+=1)
2022-11-23T02:04:39.6148658Z         {
2022-11-23T02:04:39.6148781Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.6148902Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.6148994Z         }
2022-11-23T02:04:39.6149090Z         #pragma omp for 
2022-11-23T02:04:39.6149214Z         for(long i0=0; i0<992; i0+=1)
2022-11-23T02:04:39.6149310Z         {
2022-11-23T02:04:39.6149406Z             {
2022-11-23T02:04:39.6149502Z                 {
2022-11-23T02:04:39.6149637Z                     auto tmp0 = in_ptr1[i0];
2022-11-23T02:04:39.6149769Z                     auto tmp1 = in_ptr2[i0];
2022-11-23T02:04:39.6149895Z                     out_ptr0[i0 + (992*tmp0)] = tmp1;
2022-11-23T02:04:39.6149991Z                 }
2022-11-23T02:04:39.6150088Z             }
2022-11-23T02:04:39.6150182Z         }
2022-11-23T02:04:39.6150344Z     }
2022-11-23T02:04:39.6150439Z }
2022-11-23T02:04:39.6150564Z ''')
2022-11-23T02:04:39.6150585Z 
2022-11-23T02:04:39.6150603Z 
2022-11-23T02:04:39.6150715Z async_compile.wait(globals())
2022-11-23T02:04:39.6150825Z del async_compile
2022-11-23T02:04:39.6150844Z 
2022-11-23T02:04:39.6150956Z def call(args):
2022-11-23T02:04:39.6151080Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.6151192Z     args.clear()
2022-11-23T02:04:39.6151480Z     buf0 = empty_strided((196, 992), (992, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6151747Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.6151833Z     del arg0_1
2022-11-23T02:04:39.6151939Z     del arg1_1
2022-11-23T02:04:39.6152039Z     del arg2_1
2022-11-23T02:04:39.6152147Z     return (buf0, )
2022-11-23T02:04:39.6152167Z 
2022-11-23T02:04:39.6152185Z 
2022-11-23T02:04:39.6152295Z if __name__ == "__main__":
2022-11-23T02:04:39.6152465Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6152641Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6152928Z     arg0_1 = rand_strided((196, 992), (992, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6153241Z     arg1_1 = rand_strided((1, 992), (992, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.6153524Z     arg2_1 = rand_strided((1, 992), (992, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6153698Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.6153718Z 
2022-11-23T02:04:39.6153818Z ok (2.672s)
2022-11-23T02:04:39.6154031Z   test_scatter_add1_cpu (__main__.CpuTests) ... skip: Flaky test, needs debugging (0.001s)
2022-11-23T02:04:39.6154460Z   test_scatter_add2_cpu (__main__.CpuTests) ... [2022-11-23 01:58:39,110] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6154909Z [2022-11-23 01:58:39,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6155211Z [2022-11-23 01:58:39,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6155560Z [2022-11-23 01:58:39,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6155917Z [2022-11-23 01:58:39,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6156347Z [2022-11-23 01:58:39,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6156810Z [2022-11-23 01:58:39,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6157240Z [2022-11-23 01:58:39,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6157746Z [2022-11-23 01:58:39,112] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f79370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3743> 
2022-11-23T02:04:39.6157888Z  3744           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.6158035Z                2 LOAD_METHOD              1 (scatter_add)
2022-11-23T02:04:39.6158169Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6158304Z                6 LOAD_FAST                1 (dim)
2022-11-23T02:04:39.6158418Z                8 LOAD_FAST                2 (index)
2022-11-23T02:04:39.6158549Z               10 LOAD_FAST                3 (b)
2022-11-23T02:04:39.6158678Z               12 CALL_METHOD              4
2022-11-23T02:04:39.6158798Z               14 RETURN_VALUE
2022-11-23T02:04:39.6158894Z  
2022-11-23T02:04:39.6158913Z 
2022-11-23T02:04:39.6159344Z [2022-11-23 01:58:39,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3744
2022-11-23T02:04:39.6159707Z [2022-11-23 01:58:39,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.6160135Z [2022-11-23 01:58:39,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.6160468Z [2022-11-23 01:58:39,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_add)]
2022-11-23T02:04:39.6160913Z [2022-11-23 01:58:39,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_add), TensorVariable()]
2022-11-23T02:04:39.6161363Z [2022-11-23 01:58:39,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6161836Z [2022-11-23 01:58:39,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.6162408Z [2022-11-23 01:58:39,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6162754Z [2022-11-23 01:58:39,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6163257Z [2022-11-23 01:58:39,123] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f79370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3743>
2022-11-23T02:04:39.6163594Z [2022-11-23 01:58:39,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6163915Z [2022-11-23 01:58:39,123] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6164258Z [2022-11-23 01:58:39,124] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6164602Z [2022-11-23 01:58:39,130] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6164852Z [2022-11-23 01:58:39,130] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6165043Z  __compiled_fn_285 <eval_with_key>.2187 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6165170Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6165303Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.6165429Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T02:04:39.6165616Z call_function, scatter_add, aten.scatter_add, (ex_0_, 0, ex_2_, ex_3_), {}
2022-11-23T02:04:39.6165768Z output, output, output, ((scatter_add,),), {}
2022-11-23T02:04:39.6165788Z 
2022-11-23T02:04:39.6166223Z [2022-11-23 01:58:39,131] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6166346Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6166479Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6166603Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6166736Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6166866Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6166996Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6167109Z              12 RETURN_VALUE
2022-11-23T02:04:39.6167130Z 
2022-11-23T02:04:39.6167205Z  
2022-11-23T02:04:39.6167638Z [2022-11-23 01:58:39,131] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6167794Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_285)
2022-11-23T02:04:39.6167925Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6168058Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6168170Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6168363Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6168491Z              10 LOAD_CONST               2 (2)
2022-11-23T02:04:39.6168584Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.6168709Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6168837Z              16 LOAD_CONST               3 (3)
2022-11-23T02:04:39.6168948Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.6169076Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.6169207Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.6169316Z              24 RETURN_VALUE
2022-11-23T02:04:39.6169336Z 
2022-11-23T02:04:39.6169410Z  
2022-11-23T02:04:39.6169669Z [2022-11-23 01:58:39,132] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6169776Z  - 
2022-11-23T02:04:39.6169944Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6170042Z             {
2022-11-23T02:04:39.6170238Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6170499Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 4'],
2022-11-23T02:04:39.6170650Z                 'obj_weakref': None
2022-11-23T02:04:39.6170957Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6171111Z             }
2022-11-23T02:04:39.6171211Z             
2022-11-23T02:04:39.6171322Z  - 
2022-11-23T02:04:39.6171503Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6171598Z             {
2022-11-23T02:04:39.6171778Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6171931Z                 'code': None,
2022-11-23T02:04:39.6172216Z                 'obj_weakref': <weakref at 0x7fa5321664d0; to 'Tensor' at 0x7fa62380c310>
2022-11-23T02:04:39.6172555Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6172652Z             }
2022-11-23T02:04:39.6172748Z             
2022-11-23T02:04:39.6172860Z  - 
2022-11-23T02:04:39.6173024Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T02:04:39.6173121Z             {
2022-11-23T02:04:39.6173320Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.6173576Z                 'code': ['___check_type_id(ex[1], 93849050129792)', 'ex[1] == 0'],
2022-11-23T02:04:39.6173742Z                 'obj_weakref': None
2022-11-23T02:04:39.6174047Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.6174143Z             }
2022-11-23T02:04:39.6174218Z             
2022-11-23T02:04:39.6174325Z  - 
2022-11-23T02:04:39.6174501Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.6174601Z             {
2022-11-23T02:04:39.6174800Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6174954Z                 'code': None,
2022-11-23T02:04:39.6175242Z                 'obj_weakref': <weakref at 0x7fa53c3afd80; to 'Tensor' at 0x7fa5321ebdd0>
2022-11-23T02:04:39.6175569Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6175665Z             }
2022-11-23T02:04:39.6175759Z             
2022-11-23T02:04:39.6175864Z  - 
2022-11-23T02:04:39.6176440Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T02:04:39.6176625Z             {
2022-11-23T02:04:39.6176986Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6177212Z                 'code': None,
2022-11-23T02:04:39.6177700Z                 'obj_weakref': <weakref at 0x7fa53c358d10; to 'Tensor' at 0x7fa5321e89a0>
2022-11-23T02:04:39.6178228Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6178331Z             }
2022-11-23T02:04:39.6178427Z             
2022-11-23T02:04:39.6178538Z  - 
2022-11-23T02:04:39.6178720Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6178797Z             {
2022-11-23T02:04:39.6178986Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6179379Z                 'code': ['___check_obj_id(model, 140347119653728)'],
2022-11-23T02:04:39.6179546Z                 'obj_weakref': None
2022-11-23T02:04:39.6179859Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6179956Z             }
2022-11-23T02:04:39.6180052Z             
2022-11-23T02:04:39.6180137Z  - 
2022-11-23T02:04:39.6180305Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6180480Z             {
2022-11-23T02:04:39.6180670Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6180965Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6181132Z                 'obj_weakref': None
2022-11-23T02:04:39.6181432Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6181510Z             }
2022-11-23T02:04:39.6181605Z             
2022-11-23T02:04:39.6181713Z  - 
2022-11-23T02:04:39.6181897Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.6181991Z             {
2022-11-23T02:04:39.6182162Z                 'guard_types': None,
2022-11-23T02:04:39.6182316Z                 'code': None,
2022-11-23T02:04:39.6182539Z                 'obj_weakref': None
2022-11-23T02:04:39.6182720Z                 'guarded_class': None
2022-11-23T02:04:39.6182816Z             }
2022-11-23T02:04:39.6182911Z             
2022-11-23T02:04:39.6183266Z [2022-11-23 01:58:39,142] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 278
2022-11-23T02:04:39.6183756Z [2022-11-23 01:58:41,780] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ll/clli5fpfhy5bspftbxyksvd3xap54eygxs3hfsi6wh5ut6tplfhs.py
2022-11-23T02:04:39.6184115Z [2022-11-23 01:58:41,781] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 278
2022-11-23T02:04:39.6184135Z 
2022-11-23T02:04:39.6184271Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6184362Z import torch
2022-11-23T02:04:39.6184467Z import random
2022-11-23T02:04:39.6184632Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6184803Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6184826Z 
2022-11-23T02:04:39.6184942Z aten = torch.ops.aten
2022-11-23T02:04:39.6185131Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6185266Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6185291Z 
2022-11-23T02:04:39.6185309Z 
2022-11-23T02:04:39.6185497Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6185757Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6185983Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6186134Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:39.6186284Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.6186430Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.6186525Z {
2022-11-23T02:04:39.6186643Z     #pragma GCC ivdep
2022-11-23T02:04:39.6186742Z     for(long i0=0; i0<6; i0+=1)
2022-11-23T02:04:39.6186837Z     {
2022-11-23T02:04:39.6186936Z         {
2022-11-23T02:04:39.6187039Z             {
2022-11-23T02:04:39.6187176Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.6187298Z                 out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.6187398Z             }
2022-11-23T02:04:39.6187474Z         }
2022-11-23T02:04:39.6187568Z     }
2022-11-23T02:04:39.6187682Z     #pragma GCC ivdep
2022-11-23T02:04:39.6187799Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.6187894Z     {
2022-11-23T02:04:39.6188012Z         #pragma GCC ivdep
2022-11-23T02:04:39.6188112Z         for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:39.6188209Z         {
2022-11-23T02:04:39.6188306Z             {
2022-11-23T02:04:39.6188403Z                 {
2022-11-23T02:04:39.6188549Z                     auto tmp0 = in_ptr1[i1 + (3*i0)];
2022-11-23T02:04:39.6188761Z                     auto tmp1 = in_ptr2[i1 + (3*i0)];
2022-11-23T02:04:39.6188919Z                     atomic_add(&out_ptr0[i1 + (3*tmp0)], tmp1);
2022-11-23T02:04:39.6188998Z                 }
2022-11-23T02:04:39.6189099Z             }
2022-11-23T02:04:39.6189196Z         }
2022-11-23T02:04:39.6189292Z     }
2022-11-23T02:04:39.6189383Z }
2022-11-23T02:04:39.6189513Z ''')
2022-11-23T02:04:39.6189533Z 
2022-11-23T02:04:39.6189551Z 
2022-11-23T02:04:39.6189683Z async_compile.wait(globals())
2022-11-23T02:04:39.6189772Z del async_compile
2022-11-23T02:04:39.6189792Z 
2022-11-23T02:04:39.6189900Z def call(args):
2022-11-23T02:04:39.6190023Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.6190130Z     args.clear()
2022-11-23T02:04:39.6190400Z     buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6190663Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.6190773Z     del arg0_1
2022-11-23T02:04:39.6190855Z     del arg1_1
2022-11-23T02:04:39.6190957Z     del arg2_1
2022-11-23T02:04:39.6191067Z     return (buf0, )
2022-11-23T02:04:39.6191087Z 
2022-11-23T02:04:39.6191105Z 
2022-11-23T02:04:39.6191273Z if __name__ == "__main__":
2022-11-23T02:04:39.6191445Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6191620Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6191896Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6192163Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.6192403Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6192578Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.6192598Z 
2022-11-23T02:04:39.6192697Z ok (2.678s)
2022-11-23T02:04:39.6193117Z   test_scatter_add3_cpu (__main__.CpuTests) ... [2022-11-23 01:58:41,788] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6193552Z [2022-11-23 01:58:41,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6193855Z [2022-11-23 01:58:41,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6194200Z [2022-11-23 01:58:41,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6194576Z [2022-11-23 01:58:41,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6195003Z [2022-11-23 01:58:41,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6195442Z [2022-11-23 01:58:41,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6195884Z [2022-11-23 01:58:41,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6196395Z [2022-11-23 01:58:41,790] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f794d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3757> 
2022-11-23T02:04:39.6196534Z  3758           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.6196680Z                2 LOAD_METHOD              1 (scatter_add)
2022-11-23T02:04:39.6196817Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6196949Z                6 LOAD_FAST                1 (dim)
2022-11-23T02:04:39.6197083Z                8 LOAD_FAST                2 (index)
2022-11-23T02:04:39.6197221Z               10 LOAD_FAST                3 (b)
2022-11-23T02:04:39.6197331Z               12 CALL_METHOD              4
2022-11-23T02:04:39.6197529Z               14 RETURN_VALUE
2022-11-23T02:04:39.6197621Z  
2022-11-23T02:04:39.6197640Z 
2022-11-23T02:04:39.6198074Z [2022-11-23 01:58:41,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3758
2022-11-23T02:04:39.6198375Z [2022-11-23 01:58:41,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.6198794Z [2022-11-23 01:58:41,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.6199148Z [2022-11-23 01:58:41,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_add)]
2022-11-23T02:04:39.6199540Z [2022-11-23 01:58:41,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_add), TensorVariable()]
2022-11-23T02:04:39.6199986Z [2022-11-23 01:58:41,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6200492Z [2022-11-23 01:58:41,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.6201022Z [2022-11-23 01:58:41,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6201365Z [2022-11-23 01:58:41,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6201872Z [2022-11-23 01:58:41,800] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f794d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3757>
2022-11-23T02:04:39.6202207Z [2022-11-23 01:58:41,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6202534Z [2022-11-23 01:58:41,801] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6202879Z [2022-11-23 01:58:41,802] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6203220Z [2022-11-23 01:58:41,807] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6203482Z [2022-11-23 01:58:41,808] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6203669Z  __compiled_fn_286 <eval_with_key>.2193 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6203782Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6203912Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.6204036Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T02:04:39.6204224Z call_function, scatter_add, aten.scatter_add, (ex_0_, 2, ex_2_, ex_3_), {}
2022-11-23T02:04:39.6204381Z output, output, output, ((scatter_add,),), {}
2022-11-23T02:04:39.6204405Z 
2022-11-23T02:04:39.6204842Z [2022-11-23 01:58:41,808] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6204982Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6205118Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6205227Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6205363Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6205488Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6205618Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6205730Z              12 RETURN_VALUE
2022-11-23T02:04:39.6205749Z 
2022-11-23T02:04:39.6205842Z  
2022-11-23T02:04:39.6206268Z [2022-11-23 01:58:41,808] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6206429Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_286)
2022-11-23T02:04:39.6206611Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6206742Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6206858Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6206993Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6207121Z              10 LOAD_CONST               2 (2)
2022-11-23T02:04:39.6207233Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.6207362Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6207470Z              16 LOAD_CONST               3 (3)
2022-11-23T02:04:39.6207583Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.6207714Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.6207845Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.6207959Z              24 RETURN_VALUE
2022-11-23T02:04:39.6207979Z 
2022-11-23T02:04:39.6208073Z  
2022-11-23T02:04:39.6208336Z [2022-11-23 01:58:41,810] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6208429Z  - 
2022-11-23T02:04:39.6208594Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6208692Z             {
2022-11-23T02:04:39.6208891Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6209205Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 4'],
2022-11-23T02:04:39.6209386Z                 'obj_weakref': None
2022-11-23T02:04:39.6209693Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6209771Z             }
2022-11-23T02:04:39.6209868Z             
2022-11-23T02:04:39.6209975Z  - 
2022-11-23T02:04:39.6210150Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6210249Z             {
2022-11-23T02:04:39.6210451Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6210605Z                 'code': None,
2022-11-23T02:04:39.6210876Z                 'obj_weakref': <weakref at 0x7fa52467e020; to 'Tensor' at 0x7fa53c3adb70>
2022-11-23T02:04:39.6211223Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6211324Z             }
2022-11-23T02:04:39.6211423Z             
2022-11-23T02:04:39.6211528Z  - 
2022-11-23T02:04:39.6211718Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T02:04:39.6211816Z             {
2022-11-23T02:04:39.6211996Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.6212249Z                 'code': ['___check_type_id(ex[1], 93849050129792)', 'ex[1] == 2'],
2022-11-23T02:04:39.6212421Z                 'obj_weakref': None
2022-11-23T02:04:39.6212722Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.6212822Z             }
2022-11-23T02:04:39.6212919Z             
2022-11-23T02:04:39.6213024Z  - 
2022-11-23T02:04:39.6213183Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.6213279Z             {
2022-11-23T02:04:39.6213475Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6213633Z                 'code': None,
2022-11-23T02:04:39.6213924Z                 'obj_weakref': <weakref at 0x7fa5322a7740; to 'Tensor' at 0x7fa53c35a340>
2022-11-23T02:04:39.6214270Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6214367Z             }
2022-11-23T02:04:39.6214443Z             
2022-11-23T02:04:39.6214550Z  - 
2022-11-23T02:04:39.6214725Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T02:04:39.6214819Z             {
2022-11-23T02:04:39.6215015Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6215171Z                 'code': None,
2022-11-23T02:04:39.6215456Z                 'obj_weakref': <weakref at 0x7fa5322a49f0; to 'Tensor' at 0x7fa53c358860>
2022-11-23T02:04:39.6215779Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6215881Z             }
2022-11-23T02:04:39.6216562Z             
2022-11-23T02:04:39.6216766Z  - 
2022-11-23T02:04:39.6217068Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6217224Z             {
2022-11-23T02:04:39.6217539Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6217918Z                 'code': ['___check_obj_id(model, 140347119653728)'],
2022-11-23T02:04:39.6218204Z                 'obj_weakref': None
2022-11-23T02:04:39.6218622Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6218722Z             }
2022-11-23T02:04:39.6218819Z             
2022-11-23T02:04:39.6218929Z  - 
2022-11-23T02:04:39.6219101Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6219178Z             {
2022-11-23T02:04:39.6219366Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6219659Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6219823Z                 'obj_weakref': None
2022-11-23T02:04:39.6220132Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6220229Z             }
2022-11-23T02:04:39.6220322Z             
2022-11-23T02:04:39.6220408Z  - 
2022-11-23T02:04:39.6220730Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.6220832Z             {
2022-11-23T02:04:39.6221003Z                 'guard_types': None,
2022-11-23T02:04:39.6221154Z                 'code': None,
2022-11-23T02:04:39.6221318Z                 'obj_weakref': None
2022-11-23T02:04:39.6221492Z                 'guarded_class': None
2022-11-23T02:04:39.6221571Z             }
2022-11-23T02:04:39.6221667Z             
2022-11-23T02:04:39.6222026Z [2022-11-23 01:58:41,822] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 279
2022-11-23T02:04:39.6222510Z [2022-11-23 01:58:44,449] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/32/c32qsydz6tyqq6362vny5epsgi3qkydn6kgew2zqdmn4q52ne3pg.py
2022-11-23T02:04:39.6222872Z [2022-11-23 01:58:44,449] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 279
2022-11-23T02:04:39.6222893Z 
2022-11-23T02:04:39.6223028Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6223138Z import torch
2022-11-23T02:04:39.6223225Z import random
2022-11-23T02:04:39.6223391Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6223561Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6223580Z 
2022-11-23T02:04:39.6223696Z aten = torch.ops.aten
2022-11-23T02:04:39.6223884Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6224018Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6224038Z 
2022-11-23T02:04:39.6224056Z 
2022-11-23T02:04:39.6224249Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6224528Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6224707Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6224840Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:39.6224988Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.6225135Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.6225227Z {
2022-11-23T02:04:39.6225370Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6225466Z     {
2022-11-23T02:04:39.6225581Z         #pragma omp for 
2022-11-23T02:04:39.6225684Z         for(long i0=0; i0<235; i0+=1)
2022-11-23T02:04:39.6225780Z         {
2022-11-23T02:04:39.6226001Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.6226134Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.6226226Z         }
2022-11-23T02:04:39.6226368Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.6226493Z         for(long i0=1880; i0<1885; i0+=1)
2022-11-23T02:04:39.6226570Z         {
2022-11-23T02:04:39.6226845Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.6226964Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.6227058Z         }
2022-11-23T02:04:39.6227174Z         #pragma omp single
2022-11-23T02:04:39.6227270Z         {
2022-11-23T02:04:39.6227370Z             #pragma GCC ivdep
2022-11-23T02:04:39.6227497Z             for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.6227594Z             {
2022-11-23T02:04:39.6227693Z                 {
2022-11-23T02:04:39.6227793Z                     {
2022-11-23T02:04:39.6227931Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T02:04:39.6228066Z                         auto tmp1 = in_ptr2[i0];
2022-11-23T02:04:39.6228200Z                         atomic_add(&out_ptr0[tmp0], tmp1);
2022-11-23T02:04:39.6228303Z                     }
2022-11-23T02:04:39.6228402Z                 }
2022-11-23T02:04:39.6228498Z             }
2022-11-23T02:04:39.6228590Z         }
2022-11-23T02:04:39.6228686Z     }
2022-11-23T02:04:39.6228777Z }
2022-11-23T02:04:39.6228888Z ''')
2022-11-23T02:04:39.6228908Z 
2022-11-23T02:04:39.6228926Z 
2022-11-23T02:04:39.6229057Z async_compile.wait(globals())
2022-11-23T02:04:39.6229167Z del async_compile
2022-11-23T02:04:39.6229186Z 
2022-11-23T02:04:39.6229294Z def call(args):
2022-11-23T02:04:39.6229463Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.6229577Z     args.clear()
2022-11-23T02:04:39.6229873Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6230118Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.6230222Z     del arg0_1
2022-11-23T02:04:39.6230322Z     del arg1_1
2022-11-23T02:04:39.6230424Z     del arg2_1
2022-11-23T02:04:39.6230535Z     return (buf0, )
2022-11-23T02:04:39.6230555Z 
2022-11-23T02:04:39.6230573Z 
2022-11-23T02:04:39.6230686Z if __name__ == "__main__":
2022-11-23T02:04:39.6230848Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6231026Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6231298Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6231573Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.6231853Z     arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6232082Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.6232102Z 
2022-11-23T02:04:39.6232201Z ok (2.669s)
2022-11-23T02:04:39.6232553Z   test_scatter_reduce1_cpu (__main__.CpuTests) ... [W TensorAdvancedIndexing.cpp:1681] Warning: scatter_reduce() is in beta and the API may change at any time. (function operator())
2022-11-23T02:04:39.6232888Z [2022-11-23 01:58:44,457] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6233307Z [2022-11-23 01:58:44,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6233614Z [2022-11-23 01:58:44,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6233940Z [2022-11-23 01:58:44,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6234312Z [2022-11-23 01:58:44,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6234744Z [2022-11-23 01:58:44,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6235204Z [2022-11-23 01:58:44,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6235632Z [2022-11-23 01:58:44,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6236211Z [2022-11-23 01:58:44,458] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f79630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3771> 
2022-11-23T02:04:39.6236356Z  3772           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.6236509Z                2 LOAD_METHOD              1 (scatter_reduce)
2022-11-23T02:04:39.6236643Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6236757Z                6 LOAD_FAST                1 (dim)
2022-11-23T02:04:39.6236889Z                8 LOAD_FAST                2 (index)
2022-11-23T02:04:39.6237018Z               10 LOAD_FAST                3 (b)
2022-11-23T02:04:39.6237217Z               12 LOAD_CONST               1 ('sum')
2022-11-23T02:04:39.6237345Z               14 CALL_METHOD              5
2022-11-23T02:04:39.6237456Z               16 RETURN_VALUE
2022-11-23T02:04:39.6237549Z  
2022-11-23T02:04:39.6237568Z 
2022-11-23T02:04:39.6237999Z [2022-11-23 01:58:44,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3772
2022-11-23T02:04:39.6238278Z [2022-11-23 01:58:44,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.6238755Z [2022-11-23 01:58:44,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_reduce [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.6239120Z [2022-11-23 01:58:44,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_reduce)]
2022-11-23T02:04:39.6239516Z [2022-11-23 01:58:44,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_reduce), TensorVariable()]
2022-11-23T02:04:39.6239967Z [2022-11-23 01:58:44,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6240440Z [2022-11-23 01:58:44,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.6240968Z [2022-11-23 01:58:44,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST sum [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6241537Z [2022-11-23 01:58:44,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:39.6241867Z [2022-11-23 01:58:44,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6242371Z [2022-11-23 01:58:44,469] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f79630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3771>
2022-11-23T02:04:39.6242712Z [2022-11-23 01:58:44,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6243012Z [2022-11-23 01:58:44,470] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6243361Z [2022-11-23 01:58:44,471] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6243718Z [2022-11-23 01:58:44,476] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6243976Z [2022-11-23 01:58:44,477] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6244167Z  __compiled_fn_287 <eval_with_key>.2199 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6244299Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6244427Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.6244549Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T02:04:39.6244824Z call_function, scatter_reduce, aten.scatter_reduce, (ex_0_, 2, ex_2_, ex_3_, 'sum'), {}
2022-11-23T02:04:39.6245054Z output, output, output, ((scatter_reduce,),), {}
2022-11-23T02:04:39.6245073Z 
2022-11-23T02:04:39.6245515Z [2022-11-23 01:58:44,477] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6245653Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6245786Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6245912Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6246047Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6246173Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6246283Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6246396Z              12 RETURN_VALUE
2022-11-23T02:04:39.6246415Z 
2022-11-23T02:04:39.6246508Z  
2022-11-23T02:04:39.6246935Z [2022-11-23 01:58:44,478] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6247095Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_287)
2022-11-23T02:04:39.6247226Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6247404Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6247529Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6247638Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6247766Z              10 LOAD_CONST               2 (2)
2022-11-23T02:04:39.6247878Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.6248007Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6248132Z              16 LOAD_CONST               3 (3)
2022-11-23T02:04:39.6248244Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.6248373Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.6248485Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.6248598Z              24 RETURN_VALUE
2022-11-23T02:04:39.6248623Z 
2022-11-23T02:04:39.6248714Z  
2022-11-23T02:04:39.6248972Z [2022-11-23 01:58:44,479] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6249079Z  - 
2022-11-23T02:04:39.6249247Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6249345Z             {
2022-11-23T02:04:39.6249528Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6249784Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 4'],
2022-11-23T02:04:39.6249956Z                 'obj_weakref': None
2022-11-23T02:04:39.6250262Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6250361Z             }
2022-11-23T02:04:39.6250459Z             
2022-11-23T02:04:39.6250567Z  - 
2022-11-23T02:04:39.6250726Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6250820Z             {
2022-11-23T02:04:39.6251018Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6251172Z                 'code': None,
2022-11-23T02:04:39.6251469Z                 'obj_weakref': <weakref at 0x7fa53228ffb0; to 'Tensor' at 0x7fa62380c310>
2022-11-23T02:04:39.6251808Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6251910Z             }
2022-11-23T02:04:39.6251987Z             
2022-11-23T02:04:39.6252095Z  - 
2022-11-23T02:04:39.6252278Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T02:04:39.6252374Z             {
2022-11-23T02:04:39.6252575Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.6252833Z                 'code': ['___check_type_id(ex[1], 93849050129792)', 'ex[1] == 2'],
2022-11-23T02:04:39.6253006Z                 'obj_weakref': None
2022-11-23T02:04:39.6253288Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.6253382Z             }
2022-11-23T02:04:39.6253477Z             
2022-11-23T02:04:39.6253585Z  - 
2022-11-23T02:04:39.6253765Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.6253928Z             {
2022-11-23T02:04:39.6254128Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6254262Z                 'code': None,
2022-11-23T02:04:39.6254552Z                 'obj_weakref': <weakref at 0x7fa524659710; to 'Tensor' at 0x7fa5322a7b00>
2022-11-23T02:04:39.6254893Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6254992Z             }
2022-11-23T02:04:39.6255086Z             
2022-11-23T02:04:39.6255191Z  - 
2022-11-23T02:04:39.6255367Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T02:04:39.6255443Z             {
2022-11-23T02:04:39.6255637Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6255789Z                 'code': None,
2022-11-23T02:04:39.6256501Z                 'obj_weakref': <weakref at 0x7fa53c359760; to 'Tensor' at 0x7fa5322a4590>
2022-11-23T02:04:39.6257120Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6257280Z             }
2022-11-23T02:04:39.6257429Z             
2022-11-23T02:04:39.6257582Z  - 
2022-11-23T02:04:39.6257888Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6258200Z             {
2022-11-23T02:04:39.6258428Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6258728Z                 'code': ['___check_obj_id(model, 140347119653728)'],
2022-11-23T02:04:39.6258953Z                 'obj_weakref': None
2022-11-23T02:04:39.6259263Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6259340Z             }
2022-11-23T02:04:39.6259437Z             
2022-11-23T02:04:39.6259544Z  - 
2022-11-23T02:04:39.6259711Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6259810Z             {
2022-11-23T02:04:39.6260000Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6260293Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6260448Z                 'obj_weakref': None
2022-11-23T02:04:39.6260747Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6260846Z             }
2022-11-23T02:04:39.6260941Z             
2022-11-23T02:04:39.6261045Z  - 
2022-11-23T02:04:39.6261228Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.6261323Z             {
2022-11-23T02:04:39.6261474Z                 'guard_types': None,
2022-11-23T02:04:39.6261626Z                 'code': None,
2022-11-23T02:04:39.6261794Z                 'obj_weakref': None
2022-11-23T02:04:39.6261963Z                 'guarded_class': None
2022-11-23T02:04:39.6262056Z             }
2022-11-23T02:04:39.6262151Z             
2022-11-23T02:04:39.6262506Z [2022-11-23 01:58:44,488] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 280
2022-11-23T02:04:39.6262973Z [2022-11-23 01:58:44,506] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/32/c32qsydz6tyqq6362vny5epsgi3qkydn6kgew2zqdmn4q52ne3pg.py
2022-11-23T02:04:39.6263331Z [2022-11-23 01:58:44,506] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 280
2022-11-23T02:04:39.6263360Z 
2022-11-23T02:04:39.6263497Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6263602Z import torch
2022-11-23T02:04:39.6263711Z import random
2022-11-23T02:04:39.6263875Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6264046Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6264065Z 
2022-11-23T02:04:39.6264182Z aten = torch.ops.aten
2022-11-23T02:04:39.6264351Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6264486Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6264505Z 
2022-11-23T02:04:39.6264524Z 
2022-11-23T02:04:39.6264717Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6265135Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6265303Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6265455Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:39.6265605Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.6265748Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.6265821Z {
2022-11-23T02:04:39.6265963Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6266054Z     {
2022-11-23T02:04:39.6266168Z         #pragma omp for 
2022-11-23T02:04:39.6266289Z         for(long i0=0; i0<235; i0+=1)
2022-11-23T02:04:39.6266387Z         {
2022-11-23T02:04:39.6266604Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.6266721Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.6266816Z         }
2022-11-23T02:04:39.6266953Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.6267082Z         for(long i0=1880; i0<1885; i0+=1)
2022-11-23T02:04:39.6267177Z         {
2022-11-23T02:04:39.6267301Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.6267426Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.6267503Z         }
2022-11-23T02:04:39.6267674Z         #pragma omp single
2022-11-23T02:04:39.6267774Z         {
2022-11-23T02:04:39.6267896Z             #pragma GCC ivdep
2022-11-23T02:04:39.6268019Z             for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.6268118Z             {
2022-11-23T02:04:39.6268197Z                 {
2022-11-23T02:04:39.6268300Z                     {
2022-11-23T02:04:39.6268441Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T02:04:39.6268574Z                         auto tmp1 = in_ptr2[i0];
2022-11-23T02:04:39.6268726Z                         atomic_add(&out_ptr0[tmp0], tmp1);
2022-11-23T02:04:39.6268828Z                     }
2022-11-23T02:04:39.6268925Z                 }
2022-11-23T02:04:39.6269002Z             }
2022-11-23T02:04:39.6269101Z         }
2022-11-23T02:04:39.6269197Z     }
2022-11-23T02:04:39.6269288Z }
2022-11-23T02:04:39.6269418Z ''')
2022-11-23T02:04:39.6269438Z 
2022-11-23T02:04:39.6269456Z 
2022-11-23T02:04:39.6269592Z async_compile.wait(globals())
2022-11-23T02:04:39.6269708Z del async_compile
2022-11-23T02:04:39.6269727Z 
2022-11-23T02:04:39.6269814Z def call(args):
2022-11-23T02:04:39.6269935Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.6270043Z     args.clear()
2022-11-23T02:04:39.6270339Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6270606Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.6270711Z     del arg0_1
2022-11-23T02:04:39.6270812Z     del arg1_1
2022-11-23T02:04:39.6270893Z     del arg2_1
2022-11-23T02:04:39.6271002Z     return (buf0, )
2022-11-23T02:04:39.6271022Z 
2022-11-23T02:04:39.6271040Z 
2022-11-23T02:04:39.6271159Z if __name__ == "__main__":
2022-11-23T02:04:39.6271325Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6271499Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6271792Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6272068Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.6272350Z     arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6272523Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.6272544Z 
2022-11-23T02:04:39.6272626Z ok (0.057s)
2022-11-23T02:04:39.6273055Z   test_scatter_reduce2_cpu (__main__.CpuTests) ... [2022-11-23 01:58:44,514] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6273481Z [2022-11-23 01:58:44,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6273883Z [2022-11-23 01:58:44,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6274231Z [2022-11-23 01:58:44,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6274608Z [2022-11-23 01:58:44,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6275038Z [2022-11-23 01:58:44,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6275500Z [2022-11-23 01:58:44,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6275929Z [2022-11-23 01:58:44,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6276433Z [2022-11-23 01:58:44,515] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f79790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3785> 
2022-11-23T02:04:39.6276555Z  3786           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.6276757Z                2 LOAD_ATTR                1 (scatter_reduce)
2022-11-23T02:04:39.6276895Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6277030Z                6 LOAD_FAST                1 (dim)
2022-11-23T02:04:39.6277162Z                8 LOAD_FAST                2 (index)
2022-11-23T02:04:39.6277292Z               10 LOAD_FAST                3 (b)
2022-11-23T02:04:39.6277490Z               12 LOAD_CONST               1 ('sum')
2022-11-23T02:04:39.6277603Z               14 LOAD_CONST               2 (False)
2022-11-23T02:04:39.6277825Z               16 LOAD_CONST               3 (('include_self',))
2022-11-23T02:04:39.6277962Z               18 CALL_FUNCTION_KW         6
2022-11-23T02:04:39.6278080Z               20 RETURN_VALUE
2022-11-23T02:04:39.6278171Z  
2022-11-23T02:04:39.6278191Z 
2022-11-23T02:04:39.6278618Z [2022-11-23 01:58:44,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3786
2022-11-23T02:04:39.6278914Z [2022-11-23 01:58:44,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.6279344Z [2022-11-23 01:58:44,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_reduce [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.6279701Z [2022-11-23 01:58:44,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_reduce)]
2022-11-23T02:04:39.6280080Z [2022-11-23 01:58:44,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_reduce), TensorVariable()]
2022-11-23T02:04:39.6280527Z [2022-11-23 01:58:44,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6281013Z [2022-11-23 01:58:44,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.6281540Z [2022-11-23 01:58:44,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST sum [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6282119Z [2022-11-23 01:58:44,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T02:04:39.6282765Z [2022-11-23 01:58:44,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('include_self',) [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(bool)]
2022-11-23T02:04:39.6283519Z [2022-11-23 01:58:44,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T02:04:39.6283857Z [2022-11-23 01:58:44,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6284368Z [2022-11-23 01:58:44,526] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f79790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3785>
2022-11-23T02:04:39.6284708Z [2022-11-23 01:58:44,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6285027Z [2022-11-23 01:58:44,526] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6285381Z [2022-11-23 01:58:44,528] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6285701Z [2022-11-23 01:58:44,533] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6286104Z [2022-11-23 01:58:44,534] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6286302Z  __compiled_fn_288 <eval_with_key>.2205 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6286435Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6286558Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.6286685Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T02:04:39.6287025Z call_function, scatter_reduce, aten.scatter_reduce, (ex_0_, 0, ex_2_, ex_3_, 'sum'), {'include_self': False}
2022-11-23T02:04:39.6287185Z output, output, output, ((scatter_reduce,),), {}
2022-11-23T02:04:39.6287205Z 
2022-11-23T02:04:39.6287618Z [2022-11-23 01:58:44,534] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6287761Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6287894Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6288022Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6288160Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6288290Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6288418Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6288531Z              12 RETURN_VALUE
2022-11-23T02:04:39.6288550Z 
2022-11-23T02:04:39.6288626Z  
2022-11-23T02:04:39.6289067Z [2022-11-23 01:58:44,534] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6289225Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_288)
2022-11-23T02:04:39.6289359Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6289493Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6289607Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6289734Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6289864Z              10 LOAD_CONST               2 (2)
2022-11-23T02:04:39.6289962Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.6290092Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6290219Z              16 LOAD_CONST               3 (3)
2022-11-23T02:04:39.6290332Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.6290458Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.6290590Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.6290700Z              24 RETURN_VALUE
2022-11-23T02:04:39.6290719Z 
2022-11-23T02:04:39.6290793Z  
2022-11-23T02:04:39.6291060Z [2022-11-23 01:58:44,536] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6291171Z  - 
2022-11-23T02:04:39.6291339Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6291521Z             {
2022-11-23T02:04:39.6291723Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6291983Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 4'],
2022-11-23T02:04:39.6292133Z                 'obj_weakref': None
2022-11-23T02:04:39.6292445Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6292543Z             }
2022-11-23T02:04:39.6292638Z             
2022-11-23T02:04:39.6292748Z  - 
2022-11-23T02:04:39.6292929Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6293024Z             {
2022-11-23T02:04:39.6293204Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6293356Z                 'code': None,
2022-11-23T02:04:39.6293650Z                 'obj_weakref': <weakref at 0x7fa5322edbc0; to 'Tensor' at 0x7fa62380c400>
2022-11-23T02:04:39.6293996Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6294094Z             }
2022-11-23T02:04:39.6294193Z             
2022-11-23T02:04:39.6294301Z  - 
2022-11-23T02:04:39.6294464Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T02:04:39.6294563Z             {
2022-11-23T02:04:39.6294818Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.6295083Z                 'code': ['___check_type_id(ex[1], 93849050129792)', 'ex[1] == 0'],
2022-11-23T02:04:39.6295255Z                 'obj_weakref': None
2022-11-23T02:04:39.6295555Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.6295652Z             }
2022-11-23T02:04:39.6295732Z             
2022-11-23T02:04:39.6295841Z  - 
2022-11-23T02:04:39.6296012Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.6296606Z             {
2022-11-23T02:04:39.6296948Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6297200Z                 'code': None,
2022-11-23T02:04:39.6297676Z                 'obj_weakref': <weakref at 0x7fa532167600; to 'Tensor' at 0x7fa62380c310>
2022-11-23T02:04:39.6298263Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6298382Z             }
2022-11-23T02:04:39.6298477Z             
2022-11-23T02:04:39.6298592Z  - 
2022-11-23T02:04:39.6298768Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T02:04:39.6298865Z             {
2022-11-23T02:04:39.6299062Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6299194Z                 'code': None,
2022-11-23T02:04:39.6299481Z                 'obj_weakref': <weakref at 0x7fa532165c10; to 'Tensor' at 0x7fa53c35b9c0>
2022-11-23T02:04:39.6299819Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6299913Z             }
2022-11-23T02:04:39.6300006Z             
2022-11-23T02:04:39.6300108Z  - 
2022-11-23T02:04:39.6300292Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6300374Z             {
2022-11-23T02:04:39.6300562Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6300793Z                 'code': ['___check_obj_id(model, 140347117714256)'],
2022-11-23T02:04:39.6300961Z                 'obj_weakref': None
2022-11-23T02:04:39.6301274Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6301371Z             }
2022-11-23T02:04:39.6301466Z             
2022-11-23T02:04:39.6301553Z  - 
2022-11-23T02:04:39.6301724Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6301820Z             {
2022-11-23T02:04:39.6302010Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6302302Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6302468Z                 'obj_weakref': None
2022-11-23T02:04:39.6302767Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6303016Z             }
2022-11-23T02:04:39.6303112Z             
2022-11-23T02:04:39.6303228Z  - 
2022-11-23T02:04:39.6303413Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.6303510Z             {
2022-11-23T02:04:39.6303683Z                 'guard_types': None,
2022-11-23T02:04:39.6303838Z                 'code': None,
2022-11-23T02:04:39.6303986Z                 'obj_weakref': None
2022-11-23T02:04:39.6304158Z                 'guarded_class': None
2022-11-23T02:04:39.6304252Z             }
2022-11-23T02:04:39.6304348Z             
2022-11-23T02:04:39.6304707Z [2022-11-23 01:58:44,545] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 281
2022-11-23T02:04:39.6305199Z [2022-11-23 01:58:47,171] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jz/cjzrui5bzzmqczeampsf2fo7q7uxeq4rl3d6ra5a56fptey6t6bh.py
2022-11-23T02:04:39.6305563Z [2022-11-23 01:58:47,172] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 281
2022-11-23T02:04:39.6305587Z 
2022-11-23T02:04:39.6305724Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6305810Z import torch
2022-11-23T02:04:39.6305916Z import random
2022-11-23T02:04:39.6306078Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6306341Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6306362Z 
2022-11-23T02:04:39.6306489Z aten = torch.ops.aten
2022-11-23T02:04:39.6306682Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6306816Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6306835Z 
2022-11-23T02:04:39.6306853Z 
2022-11-23T02:04:39.6307029Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6307313Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6307483Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6307633Z                        const long* __restrict__ in_ptr1,
2022-11-23T02:04:39.6307790Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.6307938Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.6308033Z {
2022-11-23T02:04:39.6308152Z     #pragma GCC ivdep
2022-11-23T02:04:39.6308256Z     for(long i0=0; i0<6; i0+=1)
2022-11-23T02:04:39.6308350Z     {
2022-11-23T02:04:39.6308448Z         {
2022-11-23T02:04:39.6308544Z             {
2022-11-23T02:04:39.6308675Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.6308795Z                 out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.6308871Z             }
2022-11-23T02:04:39.6308967Z         }
2022-11-23T02:04:39.6309062Z     }
2022-11-23T02:04:39.6309176Z     #pragma GCC ivdep
2022-11-23T02:04:39.6309292Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.6309387Z     {
2022-11-23T02:04:39.6309502Z         #pragma GCC ivdep
2022-11-23T02:04:39.6309603Z         for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:39.6309697Z         {
2022-11-23T02:04:39.6309797Z             {
2022-11-23T02:04:39.6309897Z                 {
2022-11-23T02:04:39.6310044Z                     auto tmp0 = in_ptr1[i1 + (3*i0)];
2022-11-23T02:04:39.6310193Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T02:04:39.6310337Z                     out_ptr0[i1 + (3*tmp0)] = tmp1;
2022-11-23T02:04:39.6310418Z                 }
2022-11-23T02:04:39.6310512Z             }
2022-11-23T02:04:39.6310606Z         }
2022-11-23T02:04:39.6310699Z     }
2022-11-23T02:04:39.6310811Z     #pragma GCC ivdep
2022-11-23T02:04:39.6310931Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.6311005Z     {
2022-11-23T02:04:39.6311121Z         #pragma GCC ivdep
2022-11-23T02:04:39.6311241Z         for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:39.6311336Z         {
2022-11-23T02:04:39.6311432Z             {
2022-11-23T02:04:39.6311531Z                 {
2022-11-23T02:04:39.6311672Z                     auto tmp0 = in_ptr1[i1 + (3*i0)];
2022-11-23T02:04:39.6311790Z                     auto tmp1 = in_ptr2[i1 + (3*i0)];
2022-11-23T02:04:39.6312020Z                     atomic_add(&out_ptr0[i1 + (3*tmp0)], tmp1);
2022-11-23T02:04:39.6312121Z                 }
2022-11-23T02:04:39.6312218Z             }
2022-11-23T02:04:39.6312314Z         }
2022-11-23T02:04:39.6312407Z     }
2022-11-23T02:04:39.6312479Z }
2022-11-23T02:04:39.6312606Z ''')
2022-11-23T02:04:39.6312626Z 
2022-11-23T02:04:39.6312644Z 
2022-11-23T02:04:39.6312778Z async_compile.wait(globals())
2022-11-23T02:04:39.6312887Z del async_compile
2022-11-23T02:04:39.6312906Z 
2022-11-23T02:04:39.6313011Z def call(args):
2022-11-23T02:04:39.6313128Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.6313236Z     args.clear()
2022-11-23T02:04:39.6313511Z     buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6313757Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.6313860Z     del arg0_1
2022-11-23T02:04:39.6313966Z     del arg1_1
2022-11-23T02:04:39.6314067Z     del arg2_1
2022-11-23T02:04:39.6314174Z     return (buf0, )
2022-11-23T02:04:39.6314193Z 
2022-11-23T02:04:39.6314211Z 
2022-11-23T02:04:39.6314324Z if __name__ == "__main__":
2022-11-23T02:04:39.6314537Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6314722Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6314977Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6315238Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.6315558Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6315731Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.6315750Z 
2022-11-23T02:04:39.6315852Z ok (2.665s)
2022-11-23T02:04:39.6316279Z   test_select_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:58:47,181] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6316708Z [2022-11-23 01:58:47,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6317013Z [2022-11-23 01:58:47,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6317339Z [2022-11-23 01:58:47,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6317719Z [2022-11-23 01:58:47,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6318151Z [2022-11-23 01:58:47,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6318619Z [2022-11-23 01:58:47,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6319053Z [2022-11-23 01:58:47,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6319550Z [2022-11-23 01:58:47,182] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f78870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3626> 
2022-11-23T02:04:39.6319692Z  3628           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.6319846Z                2 LOAD_METHOD              1 (select_scatter)
2022-11-23T02:04:39.6319981Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.6320111Z                6 LOAD_FAST                1 (a)
2022-11-23T02:04:39.6320223Z                8 LOAD_CONST               1 (1)
2022-11-23T02:04:39.6320349Z               10 LOAD_CONST               2 (0)
2022-11-23T02:04:39.6320477Z               12 CALL_METHOD              4
2022-11-23T02:04:39.6320497Z 
2022-11-23T02:04:39.6320631Z 3629          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.6320844Z               16 LOAD_METHOD              1 (select_scatter)
2022-11-23T02:04:39.6320974Z               18 LOAD_FAST                0 (x)
2022-11-23T02:04:39.6321102Z               20 LOAD_FAST                2 (b)
2022-11-23T02:04:39.6321215Z               22 LOAD_CONST               2 (0)
2022-11-23T02:04:39.6321345Z               24 LOAD_CONST               1 (1)
2022-11-23T02:04:39.6321472Z               26 CALL_METHOD              4
2022-11-23T02:04:39.6321490Z 
2022-11-23T02:04:39.6321619Z 3627          28 BUILD_TUPLE              2
2022-11-23T02:04:39.6321728Z               30 RETURN_VALUE
2022-11-23T02:04:39.6321818Z  
2022-11-23T02:04:39.6321837Z 
2022-11-23T02:04:39.6322263Z [2022-11-23 01:58:47,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3628
2022-11-23T02:04:39.6322560Z [2022-11-23 01:58:47,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.6322975Z [2022-11-23 01:58:47,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.6323387Z [2022-11-23 01:58:47,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.select_scatter)]
2022-11-23T02:04:39.6323792Z [2022-11-23 01:58:47,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.select_scatter), TensorVariable()]
2022-11-23T02:04:39.6324221Z [2022-11-23 01:58:47,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6324694Z [2022-11-23 01:58:47,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6325229Z [2022-11-23 01:58:47,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.6325653Z [2022-11-23 01:58:47,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3629
2022-11-23T02:04:39.6325988Z [2022-11-23 01:58:47,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.6326449Z [2022-11-23 01:58:47,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.6326843Z [2022-11-23 01:58:47,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.select_scatter)]
2022-11-23T02:04:39.6327268Z [2022-11-23 01:58:47,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable()]
2022-11-23T02:04:39.6327733Z [2022-11-23 01:58:47,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6328238Z [2022-11-23 01:58:47,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6328815Z [2022-11-23 01:58:47,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.6329234Z [2022-11-23 01:58:47,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3627
2022-11-23T02:04:39.6329596Z [2022-11-23 01:58:47,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6329926Z [2022-11-23 01:58:47,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6330521Z [2022-11-23 01:58:47,204] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f78870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3626>
2022-11-23T02:04:39.6330856Z [2022-11-23 01:58:47,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6331175Z [2022-11-23 01:58:47,204] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6331521Z [2022-11-23 01:58:47,206] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6331863Z [2022-11-23 01:58:47,212] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6332124Z [2022-11-23 01:58:47,212] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6332293Z  __compiled_fn_289 <eval_with_key>.2211 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6332427Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6332554Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.6332681Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.6332927Z call_function, select_scatter, aten.select_scatter, (ex_0_, ex_1_, 1, 0), {}
2022-11-23T02:04:39.6333130Z call_function, select_scatter_1, aten.select_scatter, (ex_0_, ex_2_, 0, 1), {}
2022-11-23T02:04:39.6333318Z output, output, output, ((select_scatter, select_scatter_1),), {}
2022-11-23T02:04:39.6333338Z 
2022-11-23T02:04:39.6333776Z [2022-11-23 01:58:47,213] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6333894Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6334026Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6334150Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6334287Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6334417Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6334548Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6334660Z              12 RETURN_VALUE
2022-11-23T02:04:39.6334680Z 
2022-11-23T02:04:39.6334756Z  
2022-11-23T02:04:39.6335188Z [2022-11-23 01:58:47,213] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6335346Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_289)
2022-11-23T02:04:39.6335476Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6335606Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6335720Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6335848Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6335979Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6336887Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.6337140Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6337346Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.6337525Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.6337735Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.6337986Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.6338224Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6338360Z              26 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6338475Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.6338625Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6338755Z              32 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6338868Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.6338995Z              36 BUILD_TUPLE              2
2022-11-23T02:04:39.6339107Z              38 RETURN_VALUE
2022-11-23T02:04:39.6339127Z 
2022-11-23T02:04:39.6339200Z  
2022-11-23T02:04:39.6339640Z [2022-11-23 01:58:47,214] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6339747Z  - 
2022-11-23T02:04:39.6339922Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6340020Z             {
2022-11-23T02:04:39.6340218Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6340481Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:39.6340633Z                 'obj_weakref': None
2022-11-23T02:04:39.6340941Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6341039Z             }
2022-11-23T02:04:39.6341136Z             
2022-11-23T02:04:39.6341243Z  - 
2022-11-23T02:04:39.6341419Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6341516Z             {
2022-11-23T02:04:39.6341696Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6341848Z                 'code': None,
2022-11-23T02:04:39.6342133Z                 'obj_weakref': <weakref at 0x7fa5322a7290; to 'Tensor' at 0x7fa62380c400>
2022-11-23T02:04:39.6342478Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6342574Z             }
2022-11-23T02:04:39.6342671Z             
2022-11-23T02:04:39.6342864Z  - 
2022-11-23T02:04:39.6343034Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.6343129Z             {
2022-11-23T02:04:39.6343330Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6343481Z                 'code': None,
2022-11-23T02:04:39.6343763Z                 'obj_weakref': <weakref at 0x7fa5322e0180; to 'Tensor' at 0x7fa62380c450>
2022-11-23T02:04:39.6344104Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6344202Z             }
2022-11-23T02:04:39.6344278Z             
2022-11-23T02:04:39.6344380Z  - 
2022-11-23T02:04:39.6344554Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.6344655Z             {
2022-11-23T02:04:39.6344855Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6345009Z                 'code': None,
2022-11-23T02:04:39.6345292Z                 'obj_weakref': <weakref at 0x7fa5322e0b30; to 'Tensor' at 0x7fa62380c4a0>
2022-11-23T02:04:39.6345617Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6345717Z             }
2022-11-23T02:04:39.6345813Z             
2022-11-23T02:04:39.6345919Z  - 
2022-11-23T02:04:39.6346101Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6346197Z             {
2022-11-23T02:04:39.6346387Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6346603Z                 'code': ['___check_obj_id(model, 140347117714256)'],
2022-11-23T02:04:39.6346770Z                 'obj_weakref': None
2022-11-23T02:04:39.6347079Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6347180Z             }
2022-11-23T02:04:39.6347275Z             
2022-11-23T02:04:39.6347381Z  - 
2022-11-23T02:04:39.6347553Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6347630Z             {
2022-11-23T02:04:39.6347823Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6348121Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6348290Z                 'obj_weakref': None
2022-11-23T02:04:39.6348597Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6348697Z             }
2022-11-23T02:04:39.6348793Z             
2022-11-23T02:04:39.6348879Z  - 
2022-11-23T02:04:39.6349060Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.6349157Z             {
2022-11-23T02:04:39.6349328Z                 'guard_types': None,
2022-11-23T02:04:39.6349479Z                 'code': None,
2022-11-23T02:04:39.6349646Z                 'obj_weakref': None
2022-11-23T02:04:39.6349887Z                 'guarded_class': None
2022-11-23T02:04:39.6349965Z             }
2022-11-23T02:04:39.6350061Z             
2022-11-23T02:04:39.6350419Z [2022-11-23 01:58:47,228] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 282
2022-11-23T02:04:39.6350915Z [2022-11-23 01:58:49,909] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sk/cskrhxousb72uxm6wjnuwxfd336w2erzrafh7dx2e32vqfyusp52.py
2022-11-23T02:04:39.6351274Z [2022-11-23 01:58:49,910] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 282
2022-11-23T02:04:39.6351295Z 
2022-11-23T02:04:39.6351431Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6351538Z import torch
2022-11-23T02:04:39.6351645Z import random
2022-11-23T02:04:39.6351791Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6351963Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6351986Z 
2022-11-23T02:04:39.6352105Z aten = torch.ops.aten
2022-11-23T02:04:39.6352289Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6352421Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6352441Z 
2022-11-23T02:04:39.6352459Z 
2022-11-23T02:04:39.6352702Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6352995Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6353166Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6353295Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.6353444Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.6353585Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.6353722Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.6353815Z {
2022-11-23T02:04:39.6353959Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6354053Z     {
2022-11-23T02:04:39.6354155Z         #pragma omp for 
2022-11-23T02:04:39.6354279Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.6354374Z         {
2022-11-23T02:04:39.6354492Z             #pragma GCC ivdep
2022-11-23T02:04:39.6354619Z             for(long i1=0; i1<197; i1+=1)
2022-11-23T02:04:39.6354721Z             {
2022-11-23T02:04:39.6354844Z                 #pragma GCC ivdep
2022-11-23T02:04:39.6354957Z                 for(long i2=0; i2<38; i2+=1)
2022-11-23T02:04:39.6355056Z                 {
2022-11-23T02:04:39.6355154Z                     {
2022-11-23T02:04:39.6355253Z                         {
2022-11-23T02:04:39.6355408Z                             auto tmp3 = in_ptr0[i2 + (38*i0)];
2022-11-23T02:04:39.6355567Z                             auto tmp4 = in_ptr1[i2 + (38*i1) + (7486*i0)];
2022-11-23T02:04:39.6355719Z                             auto tmp0 = static_cast<int>(i1);
2022-11-23T02:04:39.6355853Z                             auto tmp1 = static_cast<int>(0);
2022-11-23T02:04:39.6355990Z                             auto tmp2 = tmp0 == tmp1;
2022-11-23T02:04:39.6356141Z                             auto tmp5 = tmp2 ? tmp3 : tmp4;
2022-11-23T02:04:39.6356295Z                             out_ptr0[i2 + (38*i1) + (7486*i0)] = tmp5;
2022-11-23T02:04:39.6356398Z                         }
2022-11-23T02:04:39.6356501Z                     }
2022-11-23T02:04:39.6356602Z                 }
2022-11-23T02:04:39.6356680Z             }
2022-11-23T02:04:39.6356777Z         }
2022-11-23T02:04:39.6356897Z         #pragma omp for 
2022-11-23T02:04:39.6357019Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.6357114Z         {
2022-11-23T02:04:39.6357231Z             #pragma GCC ivdep
2022-11-23T02:04:39.6357339Z             for(long i1=0; i1<7486; i1+=1)
2022-11-23T02:04:39.6357436Z             {
2022-11-23T02:04:39.6357536Z                 {
2022-11-23T02:04:39.6357635Z                     {
2022-11-23T02:04:39.6357772Z                         auto tmp3 = in_ptr2[i1];
2022-11-23T02:04:39.6357921Z                         auto tmp4 = in_ptr1[i1 + (7486*i0)];
2022-11-23T02:04:39.6358140Z                         auto tmp0 = static_cast<int>(i0);
2022-11-23T02:04:39.6358267Z                         auto tmp1 = static_cast<int>(1);
2022-11-23T02:04:39.6358407Z                         auto tmp2 = tmp0 == tmp1;
2022-11-23T02:04:39.6358554Z                         auto tmp5 = tmp2 ? tmp3 : tmp4;
2022-11-23T02:04:39.6358694Z                         out_ptr1[i1 + (7486*i0)] = tmp5;
2022-11-23T02:04:39.6358799Z                     }
2022-11-23T02:04:39.6358899Z                 }
2022-11-23T02:04:39.6358997Z             }
2022-11-23T02:04:39.6359074Z         }
2022-11-23T02:04:39.6359170Z     }
2022-11-23T02:04:39.6359262Z }
2022-11-23T02:04:39.6359394Z ''')
2022-11-23T02:04:39.6359414Z 
2022-11-23T02:04:39.6359432Z 
2022-11-23T02:04:39.6359568Z async_compile.wait(globals())
2022-11-23T02:04:39.6359678Z del async_compile
2022-11-23T02:04:39.6359701Z 
2022-11-23T02:04:39.6359810Z def call(args):
2022-11-23T02:04:39.6359928Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.6360021Z     args.clear()
2022-11-23T02:04:39.6360320Z     buf0 = empty_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6360657Z     buf1 = empty_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6360957Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.6361062Z     del arg0_1
2022-11-23T02:04:39.6361167Z     del arg1_1
2022-11-23T02:04:39.6361267Z     del arg2_1
2022-11-23T02:04:39.6361364Z     return (buf0, buf1, )
2022-11-23T02:04:39.6361383Z 
2022-11-23T02:04:39.6361422Z 
2022-11-23T02:04:39.6361517Z if __name__ == "__main__":
2022-11-23T02:04:39.6361682Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6361854Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6362153Z     arg0_1 = rand_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6362433Z     arg1_1 = rand_strided((8, 38), (38, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6362704Z     arg2_1 = rand_strided((197, 38), (38, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6362886Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.6362905Z 
2022-11-23T02:04:39.6362988Z ok (2.740s)
2022-11-23T02:04:39.6363391Z   test_sgn_cpu (__main__.CpuTests) ... [2022-11-23 01:58:49,918] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6363815Z [2022-11-23 01:58:49,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6364114Z [2022-11-23 01:58:49,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6364461Z [2022-11-23 01:58:49,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6364842Z [2022-11-23 01:58:49,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6365281Z [2022-11-23 01:58:49,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6365746Z [2022-11-23 01:58:49,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6366182Z [2022-11-23 01:58:49,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6366683Z [2022-11-23 01:58:49,920] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641158b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 670> 
2022-11-23T02:04:39.6366823Z  671           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.6367009Z               2 LOAD_METHOD              1 (sgn)
2022-11-23T02:04:39.6367141Z               4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6367273Z               6 CALL_METHOD              1
2022-11-23T02:04:39.6367413Z               8 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.6367549Z              10 LOAD_METHOD              1 (sgn)
2022-11-23T02:04:39.6367677Z              12 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6367808Z              14 LOAD_CONST               1 (1)
2022-11-23T02:04:39.6367898Z              16 BINARY_ADD
2022-11-23T02:04:39.6368025Z              18 CALL_METHOD              1
2022-11-23T02:04:39.6368157Z              20 LOAD_CONST               1 (1)
2022-11-23T02:04:39.6368274Z              22 BINARY_SUBTRACT
2022-11-23T02:04:39.6368404Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.6368521Z              26 RETURN_VALUE
2022-11-23T02:04:39.6368616Z  
2022-11-23T02:04:39.6368635Z 
2022-11-23T02:04:39.6369052Z [2022-11-23 01:58:49,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:671
2022-11-23T02:04:39.6369358Z [2022-11-23 01:58:49,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.6369971Z [2022-11-23 01:58:49,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.6370408Z [2022-11-23 01:58:49,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sgn of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.6370877Z [2022-11-23 01:58:49,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sgn of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.6371217Z [2022-11-23 01:58:49,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.6371742Z [2022-11-23 01:58:49,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.6372210Z [2022-11-23 01:58:49,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.6372704Z [2022-11-23 01:58:49,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.6373265Z [2022-11-23 01:58:49,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6373769Z [2022-11-23 01:58:49,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.6374134Z [2022-11-23 01:58:49,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6374539Z [2022-11-23 01:58:49,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6374905Z [2022-11-23 01:58:49,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6375240Z [2022-11-23 01:58:49,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6375743Z [2022-11-23 01:58:49,929] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641158b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 670>
2022-11-23T02:04:39.6376667Z [2022-11-23 01:58:49,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6377469Z [2022-11-23 01:58:49,929] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6378089Z [2022-11-23 01:58:49,931] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6378479Z [2022-11-23 01:58:49,938] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6378737Z [2022-11-23 01:58:49,939] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6378924Z  __compiled_fn_290 <eval_with_key>.2217 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6379035Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6379338Z call_function, sgn, <built-in method sgn of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.6379573Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.6379876Z call_function, sgn_1, <built-in method sgn of type object at 0x7fa5855aec60>, (add,), {}
2022-11-23T02:04:39.6380114Z call_function, sub, <built-in function sub>, (sgn_1, 1), {}
2022-11-23T02:04:39.6380261Z output, output, output, ((sgn, sub),), {}
2022-11-23T02:04:39.6380286Z 
2022-11-23T02:04:39.6380808Z [2022-11-23 01:58:49,940] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6380955Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6381067Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6381194Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6381331Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6381455Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6381581Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6381694Z              12 RETURN_VALUE
2022-11-23T02:04:39.6381713Z 
2022-11-23T02:04:39.6381807Z  
2022-11-23T02:04:39.6382223Z [2022-11-23 01:58:49,940] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6382381Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_290)
2022-11-23T02:04:39.6382519Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6382652Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6382765Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6382895Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.6383042Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.6383185Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6383297Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6383409Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.6383556Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6383683Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6383800Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.6383926Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.6384039Z              26 RETURN_VALUE
2022-11-23T02:04:39.6384060Z 
2022-11-23T02:04:39.6384134Z  
2022-11-23T02:04:39.6384396Z [2022-11-23 01:58:49,941] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6384505Z  - 
2022-11-23T02:04:39.6384676Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6384774Z             {
2022-11-23T02:04:39.6384973Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6385227Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.6385381Z                 'obj_weakref': None
2022-11-23T02:04:39.6385691Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6385791Z             }
2022-11-23T02:04:39.6385890Z             
2022-11-23T02:04:39.6386050Z  - 
2022-11-23T02:04:39.6386233Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6386401Z             {
2022-11-23T02:04:39.6386583Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6386733Z                 'code': None,
2022-11-23T02:04:39.6387021Z                 'obj_weakref': <weakref at 0x7fa5321e9990; to 'Tensor' at 0x7fa5504be570>
2022-11-23T02:04:39.6387365Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6387461Z             }
2022-11-23T02:04:39.6387559Z             
2022-11-23T02:04:39.6387665Z  - 
2022-11-23T02:04:39.6387828Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6387923Z             {
2022-11-23T02:04:39.6388108Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6388341Z                 'code': ['___check_obj_id(model, 140347117714256)'],
2022-11-23T02:04:39.6388511Z                 'obj_weakref': None
2022-11-23T02:04:39.6388822Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6388923Z             }
2022-11-23T02:04:39.6389000Z             
2022-11-23T02:04:39.6389103Z  - 
2022-11-23T02:04:39.6389277Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6389373Z             {
2022-11-23T02:04:39.6389614Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6389914Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6390083Z                 'obj_weakref': None
2022-11-23T02:04:39.6390363Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6390457Z             }
2022-11-23T02:04:39.6390552Z             
2022-11-23T02:04:39.6390659Z  - 
2022-11-23T02:04:39.6390845Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.6390940Z             {
2022-11-23T02:04:39.6391110Z                 'guard_types': None,
2022-11-23T02:04:39.6391252Z                 'code': None,
2022-11-23T02:04:39.6391423Z                 'obj_weakref': None
2022-11-23T02:04:39.6391597Z                 'guarded_class': None
2022-11-23T02:04:39.6391698Z             }
2022-11-23T02:04:39.6391795Z             
2022-11-23T02:04:39.6392184Z [2022-11-23 01:58:49,953] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 283
2022-11-23T02:04:39.6392645Z [2022-11-23 01:58:52,616] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2y/c2yl2prqhqkawkxrsnpimw2gco7rgk5pldi3pczaagvrjl4ckcgm.py
2022-11-23T02:04:39.6392985Z [2022-11-23 01:58:52,616] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 283
2022-11-23T02:04:39.6393026Z 
2022-11-23T02:04:39.6393145Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6393250Z import torch
2022-11-23T02:04:39.6393355Z import random
2022-11-23T02:04:39.6393525Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6393698Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6393720Z 
2022-11-23T02:04:39.6393837Z aten = torch.ops.aten
2022-11-23T02:04:39.6394024Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6394139Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6394157Z 
2022-11-23T02:04:39.6394194Z 
2022-11-23T02:04:39.6394368Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6394651Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6394816Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6394962Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.6395142Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.6395236Z {
2022-11-23T02:04:39.6395386Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6395461Z     {
2022-11-23T02:04:39.6395575Z         #pragma omp for 
2022-11-23T02:04:39.6395695Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T02:04:39.6395872Z         {
2022-11-23T02:04:39.6396098Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.6396331Z             auto tmp1 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), decltype(tmp0)(0) < tmp0);
2022-11-23T02:04:39.6396573Z             auto tmp2 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), tmp0 < decltype(tmp0)(0));
2022-11-23T02:04:39.6396760Z             auto tmp3 = tmp1 - tmp2;
2022-11-23T02:04:39.6396926Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.6397049Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T02:04:39.6397276Z             auto tmp6 = decltype(tmp5)::blendv(decltype(tmp5)(0), decltype(tmp5)(1), decltype(tmp5)(0) < tmp5);
2022-11-23T02:04:39.6397501Z             auto tmp7 = decltype(tmp5)::blendv(decltype(tmp5)(0), decltype(tmp5)(1), tmp5 < decltype(tmp5)(0));
2022-11-23T02:04:39.6397678Z             auto tmp8 = tmp6 - tmp7;
2022-11-23T02:04:39.6397852Z             auto tmp9 = tmp8 - tmp4;
2022-11-23T02:04:39.6397988Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.6398118Z             tmp9.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.6398195Z         }
2022-11-23T02:04:39.6398332Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.6398508Z         for(long i0=40; i0<41; i0+=1)
2022-11-23T02:04:39.6398609Z         {
2022-11-23T02:04:39.6398734Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.6398860Z             auto tmp1 = tmp0 > 0 ? 1 : 0;
2022-11-23T02:04:39.6398968Z             auto tmp2 = tmp0 < 0 ? 1 : 0;
2022-11-23T02:04:39.6399150Z             auto tmp3 = tmp1 - tmp2;
2022-11-23T02:04:39.6399293Z             auto tmp4 = static_cast<float>(1);
2022-11-23T02:04:39.6399417Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T02:04:39.6399542Z             auto tmp6 = tmp5 > 0 ? 1 : 0;
2022-11-23T02:04:39.6399668Z             auto tmp7 = tmp5 < 0 ? 1 : 0;
2022-11-23T02:04:39.6399842Z             auto tmp8 = tmp6 - tmp7;
2022-11-23T02:04:39.6400001Z             auto tmp9 = tmp8 - tmp4;
2022-11-23T02:04:39.6400120Z             out_ptr0[i0] = tmp3;
2022-11-23T02:04:39.6400234Z             out_ptr1[i0] = tmp9;
2022-11-23T02:04:39.6400327Z         }
2022-11-23T02:04:39.6400418Z     }
2022-11-23T02:04:39.6400508Z }
2022-11-23T02:04:39.6400627Z ''')
2022-11-23T02:04:39.6400647Z 
2022-11-23T02:04:39.6400666Z 
2022-11-23T02:04:39.6400798Z async_compile.wait(globals())
2022-11-23T02:04:39.6400890Z del async_compile
2022-11-23T02:04:39.6400910Z 
2022-11-23T02:04:39.6401014Z def call(args):
2022-11-23T02:04:39.6401116Z     arg0_1, = args
2022-11-23T02:04:39.6401222Z     args.clear()
2022-11-23T02:04:39.6401488Z     buf0 = empty_strided((41, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6401754Z     buf1 = empty_strided((41, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6401976Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.6402062Z     del arg0_1
2022-11-23T02:04:39.6402180Z     return (buf0, buf1, )
2022-11-23T02:04:39.6402199Z 
2022-11-23T02:04:39.6402218Z 
2022-11-23T02:04:39.6402330Z if __name__ == "__main__":
2022-11-23T02:04:39.6402492Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6402668Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6402938Z     arg0_1 = rand_strided((41, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6403097Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.6403116Z 
2022-11-23T02:04:39.6403218Z ok (2.704s)
2022-11-23T02:04:39.6403620Z   test_sgn_extremal_cpu (__main__.CpuTests) ... [2022-11-23 01:58:52,622] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6404045Z [2022-11-23 01:58:52,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6404340Z [2022-11-23 01:58:52,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6404751Z [2022-11-23 01:58:52,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6405134Z [2022-11-23 01:58:52,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6405565Z [2022-11-23 01:58:52,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6406032Z [2022-11-23 01:58:52,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6406528Z [2022-11-23 01:58:52,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6407029Z [2022-11-23 01:58:52,623] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641158c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 676> 
2022-11-23T02:04:39.6407173Z  677           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.6407289Z               2 LOAD_METHOD              1 (sgn)
2022-11-23T02:04:39.6407475Z               4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6407610Z               6 CALL_METHOD              1
2022-11-23T02:04:39.6407741Z               8 BUILD_TUPLE              1
2022-11-23T02:04:39.6407854Z              10 RETURN_VALUE
2022-11-23T02:04:39.6407948Z  
2022-11-23T02:04:39.6407968Z 
2022-11-23T02:04:39.6408392Z [2022-11-23 01:58:52,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:677
2022-11-23T02:04:39.6408689Z [2022-11-23 01:58:52,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.6409157Z [2022-11-23 01:58:52,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.6409591Z [2022-11-23 01:58:52,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sgn of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.6410060Z [2022-11-23 01:58:52,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sgn of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.6410388Z [2022-11-23 01:58:52,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:39.6410718Z [2022-11-23 01:58:52,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6411221Z [2022-11-23 01:58:52,626] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641158c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 676>
2022-11-23T02:04:39.6411553Z [2022-11-23 01:58:52,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6411879Z [2022-11-23 01:58:52,627] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6412229Z [2022-11-23 01:58:52,628] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6412565Z [2022-11-23 01:58:52,632] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6412806Z [2022-11-23 01:58:52,633] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6412996Z  __compiled_fn_291 <eval_with_key>.2223 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6413126Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6413429Z call_function, sgn, <built-in method sgn of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.6413565Z output, output, output, ((sgn,),), {}
2022-11-23T02:04:39.6413585Z 
2022-11-23T02:04:39.6414102Z [2022-11-23 01:58:52,633] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6414243Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6414379Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6414490Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6414635Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6414760Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6414888Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6415000Z              12 RETURN_VALUE
2022-11-23T02:04:39.6415022Z 
2022-11-23T02:04:39.6415114Z  
2022-11-23T02:04:39.6415551Z [2022-11-23 01:58:52,633] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6415705Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_291)
2022-11-23T02:04:39.6415823Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6415956Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6416520Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6416729Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.6417139Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.6417390Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6417601Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6417757Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.6417967Z              18 BUILD_TUPLE              1
2022-11-23T02:04:39.6418149Z              20 RETURN_VALUE
2022-11-23T02:04:39.6418169Z 
2022-11-23T02:04:39.6418264Z  
2022-11-23T02:04:39.6418544Z [2022-11-23 01:58:52,635] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6418652Z  - 
2022-11-23T02:04:39.6418821Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6418899Z             {
2022-11-23T02:04:39.6419104Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6419358Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.6419525Z                 'obj_weakref': None
2022-11-23T02:04:39.6419836Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6419937Z             }
2022-11-23T02:04:39.6420033Z             
2022-11-23T02:04:39.6420122Z  - 
2022-11-23T02:04:39.6420298Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6420395Z             {
2022-11-23T02:04:39.6420595Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6420749Z                 'code': None,
2022-11-23T02:04:39.6421036Z                 'obj_weakref': <weakref at 0x7fa5322a4f40; to 'Tensor' at 0x7fa5321eaa20>
2022-11-23T02:04:39.6421378Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6421478Z             }
2022-11-23T02:04:39.6421555Z             
2022-11-23T02:04:39.6421660Z  - 
2022-11-23T02:04:39.6421842Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6421939Z             {
2022-11-23T02:04:39.6422130Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6422367Z                 'code': ['___check_obj_id(model, 140347117714256)'],
2022-11-23T02:04:39.6422519Z                 'obj_weakref': None
2022-11-23T02:04:39.6422834Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6422934Z             }
2022-11-23T02:04:39.6423029Z             
2022-11-23T02:04:39.6423137Z  - 
2022-11-23T02:04:39.6423307Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6423402Z             {
2022-11-23T02:04:39.6423574Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6423864Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6424155Z                 'obj_weakref': None
2022-11-23T02:04:39.6424461Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6424556Z             }
2022-11-23T02:04:39.6424653Z             
2022-11-23T02:04:39.6424759Z  - 
2022-11-23T02:04:39.6424928Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.6425027Z             {
2022-11-23T02:04:39.6425197Z                 'guard_types': None,
2022-11-23T02:04:39.6425351Z                 'code': None,
2022-11-23T02:04:39.6425520Z                 'obj_weakref': None
2022-11-23T02:04:39.6425687Z                 'guarded_class': None
2022-11-23T02:04:39.6425781Z             }
2022-11-23T02:04:39.6425857Z             
2022-11-23T02:04:39.6426208Z [2022-11-23 01:58:52,642] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 284
2022-11-23T02:04:39.6426697Z [2022-11-23 01:58:55,237] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zq/czqx7cteii34pdf3nivarot7fk2ill2rlivkkduqtroanfvmnwcm.py
2022-11-23T02:04:39.6427062Z [2022-11-23 01:58:55,237] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 284
2022-11-23T02:04:39.6427082Z 
2022-11-23T02:04:39.6427218Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6427381Z import torch
2022-11-23T02:04:39.6427493Z import random
2022-11-23T02:04:39.6427657Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6427808Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6427828Z 
2022-11-23T02:04:39.6427950Z aten = torch.ops.aten
2022-11-23T02:04:39.6428139Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6428274Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6428293Z 
2022-11-23T02:04:39.6428312Z 
2022-11-23T02:04:39.6428510Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6428788Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6428961Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6429109Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.6429184Z {
2022-11-23T02:04:39.6429297Z     #pragma GCC ivdep
2022-11-23T02:04:39.6429415Z     for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.6429514Z     {
2022-11-23T02:04:39.6429610Z         {
2022-11-23T02:04:39.6429706Z             {
2022-11-23T02:04:39.6429836Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.6429956Z                 auto tmp1 = tmp0 > 0 ? 1 : 0;
2022-11-23T02:04:39.6430087Z                 auto tmp2 = tmp0 < 0 ? 1 : 0;
2022-11-23T02:04:39.6430278Z                 auto tmp3 = tmp1 - tmp2;
2022-11-23T02:04:39.6430399Z                 out_ptr0[i0] = tmp3;
2022-11-23T02:04:39.6430493Z             }
2022-11-23T02:04:39.6430588Z         }
2022-11-23T02:04:39.6430662Z     }
2022-11-23T02:04:39.6430754Z }
2022-11-23T02:04:39.6430874Z ''')
2022-11-23T02:04:39.6430893Z 
2022-11-23T02:04:39.6430911Z 
2022-11-23T02:04:39.6431046Z async_compile.wait(globals())
2022-11-23T02:04:39.6431153Z del async_compile
2022-11-23T02:04:39.6431172Z 
2022-11-23T02:04:39.6431279Z def call(args):
2022-11-23T02:04:39.6431383Z     arg0_1, = args
2022-11-23T02:04:39.6431490Z     args.clear()
2022-11-23T02:04:39.6431741Z     buf0 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6431931Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.6432033Z     del arg0_1
2022-11-23T02:04:39.6432141Z     return (buf0, )
2022-11-23T02:04:39.6432160Z 
2022-11-23T02:04:39.6432178Z 
2022-11-23T02:04:39.6432330Z if __name__ == "__main__":
2022-11-23T02:04:39.6432456Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6432681Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6432877Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6433029Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.6433103Z 
2022-11-23T02:04:39.6433210Z ok (2.621s)
2022-11-23T02:04:39.6433618Z   test_sigmoid_cpu (__main__.CpuTests) ... [2022-11-23 01:58:55,244] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6434042Z [2022-11-23 01:58:55,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6434343Z [2022-11-23 01:58:55,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6434685Z [2022-11-23 01:58:55,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6435056Z [2022-11-23 01:58:55,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6435483Z [2022-11-23 01:58:55,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6435947Z [2022-11-23 01:58:55,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6436403Z [2022-11-23 01:58:55,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6436913Z [2022-11-23 01:58:55,245] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1006> 
2022-11-23T02:04:39.6437057Z  1007           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.6437198Z                2 LOAD_METHOD              1 (sigmoid)
2022-11-23T02:04:39.6437332Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6437461Z                6 CALL_METHOD              1
2022-11-23T02:04:39.6437598Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.6437738Z               10 LOAD_METHOD              1 (sigmoid)
2022-11-23T02:04:39.6437850Z               12 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6437982Z               14 LOAD_FAST                1 (b)
2022-11-23T02:04:39.6438091Z               16 BINARY_ADD
2022-11-23T02:04:39.6438227Z               18 CALL_METHOD              1
2022-11-23T02:04:39.6438359Z               20 BUILD_TUPLE              2
2022-11-23T02:04:39.6438474Z               22 RETURN_VALUE
2022-11-23T02:04:39.6438568Z  
2022-11-23T02:04:39.6438587Z 
2022-11-23T02:04:39.6439010Z [2022-11-23 01:58:55,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1007
2022-11-23T02:04:39.6439290Z [2022-11-23 01:58:55,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.6439784Z [2022-11-23 01:58:55,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.6440225Z [2022-11-23 01:58:55,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sigmoid of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.6440780Z [2022-11-23 01:58:55,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sigmoid of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.6441309Z [2022-11-23 01:58:55,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.6441854Z [2022-11-23 01:58:55,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.6442323Z [2022-11-23 01:58:55,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.6442909Z [2022-11-23 01:58:55,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.6443515Z [2022-11-23 01:58:55,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6443981Z [2022-11-23 01:58:55,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.6444342Z [2022-11-23 01:58:55,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6444676Z [2022-11-23 01:58:55,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6445166Z [2022-11-23 01:58:55,255] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1006>
2022-11-23T02:04:39.6445551Z [2022-11-23 01:58:55,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6445882Z [2022-11-23 01:58:55,255] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6446232Z [2022-11-23 01:58:55,257] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6446572Z [2022-11-23 01:58:55,264] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6446831Z [2022-11-23 01:58:55,265] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6447024Z  __compiled_fn_292 <eval_with_key>.2229 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6447154Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6447286Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.6447586Z call_function, sigmoid, <built-in method sigmoid of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.6447830Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.6448153Z call_function, sigmoid_1, <built-in method sigmoid of type object at 0x7fa5855aec60>, (add,), {}
2022-11-23T02:04:39.6448316Z output, output, output, ((sigmoid, sigmoid_1),), {}
2022-11-23T02:04:39.6448337Z 
2022-11-23T02:04:39.6448772Z [2022-11-23 01:58:55,265] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6448909Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6449039Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6449167Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6449283Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6449415Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6449546Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6449663Z              12 RETURN_VALUE
2022-11-23T02:04:39.6449684Z 
2022-11-23T02:04:39.6449780Z  
2022-11-23T02:04:39.6450221Z [2022-11-23 01:58:55,266] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6450378Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_292)
2022-11-23T02:04:39.6450514Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6450629Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6450741Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6450873Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6451002Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6451117Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.6451246Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.6451461Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.6451589Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6451722Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6451842Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.6451994Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6452128Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6452239Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.6452365Z              30 BUILD_TUPLE              2
2022-11-23T02:04:39.6452459Z              32 RETURN_VALUE
2022-11-23T02:04:39.6452478Z 
2022-11-23T02:04:39.6452572Z  
2022-11-23T02:04:39.6452841Z [2022-11-23 01:58:55,267] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6452949Z  - 
2022-11-23T02:04:39.6453118Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6453220Z             {
2022-11-23T02:04:39.6453418Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6453662Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.6453834Z                 'obj_weakref': None
2022-11-23T02:04:39.6454220Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6454324Z             }
2022-11-23T02:04:39.6454426Z             
2022-11-23T02:04:39.6454535Z  - 
2022-11-23T02:04:39.6454710Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6454788Z             {
2022-11-23T02:04:39.6454988Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6455147Z                 'code': None,
2022-11-23T02:04:39.6455432Z                 'obj_weakref': <weakref at 0x7fa550083470; to 'Tensor' at 0x7fa51c512d40>
2022-11-23T02:04:39.6455801Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6455875Z             }
2022-11-23T02:04:39.6456021Z             
2022-11-23T02:04:39.6456478Z  - 
2022-11-23T02:04:39.6456743Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.6456893Z             {
2022-11-23T02:04:39.6457223Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6457477Z                 'code': None,
2022-11-23T02:04:39.6457913Z                 'obj_weakref': <weakref at 0x7fa550081080; to 'Tensor' at 0x7fa5504be570>
2022-11-23T02:04:39.6458264Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6458341Z             }
2022-11-23T02:04:39.6458439Z             
2022-11-23T02:04:39.6458543Z  - 
2022-11-23T02:04:39.6458725Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6458821Z             {
2022-11-23T02:04:39.6459008Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6459243Z                 'code': ['___check_obj_id(model, 140347117714256)'],
2022-11-23T02:04:39.6459392Z                 'obj_weakref': None
2022-11-23T02:04:39.6459709Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6459806Z             }
2022-11-23T02:04:39.6459903Z             
2022-11-23T02:04:39.6460008Z  - 
2022-11-23T02:04:39.6460180Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6460279Z             {
2022-11-23T02:04:39.6460453Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6460746Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6460916Z                 'obj_weakref': None
2022-11-23T02:04:39.6461221Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6461319Z             }
2022-11-23T02:04:39.6461413Z             
2022-11-23T02:04:39.6461521Z  - 
2022-11-23T02:04:39.6461691Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.6461790Z             {
2022-11-23T02:04:39.6461959Z                 'guard_types': None,
2022-11-23T02:04:39.6462293Z                 'code': None,
2022-11-23T02:04:39.6462459Z                 'obj_weakref': None
2022-11-23T02:04:39.6462631Z                 'guarded_class': None
2022-11-23T02:04:39.6462726Z             }
2022-11-23T02:04:39.6462803Z             
2022-11-23T02:04:39.6463162Z [2022-11-23 01:58:55,280] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 285
2022-11-23T02:04:39.6463647Z [2022-11-23 01:58:57,933] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bz/cbz2fm5prfztq3woky56x2pz322ndhx7wd7dq6vflfopyablhnda.py
2022-11-23T02:04:39.6464006Z [2022-11-23 01:58:57,933] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 285
2022-11-23T02:04:39.6464028Z 
2022-11-23T02:04:39.6464164Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6464270Z import torch
2022-11-23T02:04:39.6464375Z import random
2022-11-23T02:04:39.6464537Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6464694Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6464714Z 
2022-11-23T02:04:39.6464829Z aten = torch.ops.aten
2022-11-23T02:04:39.6465018Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6465230Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6465251Z 
2022-11-23T02:04:39.6465269Z 
2022-11-23T02:04:39.6465471Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6465748Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6465918Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6466067Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.6466194Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.6466335Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.6466429Z {
2022-11-23T02:04:39.6466570Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6466669Z     {
2022-11-23T02:04:39.6466786Z         #pragma omp for 
2022-11-23T02:04:39.6466908Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.6466985Z         {
2022-11-23T02:04:39.6467209Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.6467397Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.6467586Z             auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp());
2022-11-23T02:04:39.6467712Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:39.6467898Z             auto tmp4 = decltype(tmp3)(1)/(decltype(tmp3)(1) + tmp3.neg().exp());
2022-11-23T02:04:39.6468029Z             tmp1.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.6468143Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.6468240Z         }
2022-11-23T02:04:39.6468375Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.6468498Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.6468592Z         {
2022-11-23T02:04:39.6468719Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.6468840Z             auto tmp3 = in_ptr1[i0];
2022-11-23T02:04:39.6469015Z             auto tmp1 = std::exp(-tmp0);
2022-11-23T02:04:39.6469141Z             auto tmp2 = 1 / (1 + tmp1);
2022-11-23T02:04:39.6469269Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T02:04:39.6469455Z             auto tmp5 = std::exp(-tmp4);
2022-11-23T02:04:39.6469580Z             auto tmp6 = 1 / (1 + tmp5);
2022-11-23T02:04:39.6469699Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.6469814Z             out_ptr1[i0] = tmp6;
2022-11-23T02:04:39.6469889Z         }
2022-11-23T02:04:39.6469984Z     }
2022-11-23T02:04:39.6470076Z }
2022-11-23T02:04:39.6470193Z ''')
2022-11-23T02:04:39.6470213Z 
2022-11-23T02:04:39.6470232Z 
2022-11-23T02:04:39.6470365Z async_compile.wait(globals())
2022-11-23T02:04:39.6470473Z del async_compile
2022-11-23T02:04:39.6470492Z 
2022-11-23T02:04:39.6470600Z def call(args):
2022-11-23T02:04:39.6470763Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.6470936Z     args.clear()
2022-11-23T02:04:39.6471212Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6471477Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6471740Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.6471846Z     del arg0_1
2022-11-23T02:04:39.6471948Z     del arg1_1
2022-11-23T02:04:39.6472062Z     return (buf0, buf1, )
2022-11-23T02:04:39.6472082Z 
2022-11-23T02:04:39.6472100Z 
2022-11-23T02:04:39.6472195Z if __name__ == "__main__":
2022-11-23T02:04:39.6472360Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6472533Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6472805Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6473067Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6473238Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.6473257Z 
2022-11-23T02:04:39.6473357Z ok (2.697s)
2022-11-23T02:04:39.6473824Z   test_signbit_cpu (__main__.CpuTests) ... [2022-11-23 01:58:57,944] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6474242Z [2022-11-23 01:58:57,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6474541Z [2022-11-23 01:58:57,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6474882Z [2022-11-23 01:58:57,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6475257Z [2022-11-23 01:58:57,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6475687Z [2022-11-23 01:58:57,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6476153Z [2022-11-23 01:58:57,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6476584Z [2022-11-23 01:58:57,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6477085Z [2022-11-23 01:58:57,947] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9e4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2656> 
2022-11-23T02:04:39.6477228Z  2657           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.6477419Z                2 LOAD_METHOD              1 (signbit)
2022-11-23T02:04:39.6477528Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.6477649Z                6 CALL_METHOD              1
2022-11-23T02:04:39.6477781Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.6477889Z               10 LOAD_METHOD              1 (signbit)
2022-11-23T02:04:39.6478018Z               12 LOAD_FAST                0 (x)
2022-11-23T02:04:39.6478142Z               14 UNARY_NEGATIVE
2022-11-23T02:04:39.6478272Z               16 CALL_METHOD              1
2022-11-23T02:04:39.6478365Z               18 UNARY_INVERT
2022-11-23T02:04:39.6478495Z               20 LOAD_CONST               1 (1)
2022-11-23T02:04:39.6478604Z               22 BINARY_AND
2022-11-23T02:04:39.6478735Z               24 BUILD_TUPLE              2
2022-11-23T02:04:39.6478849Z               26 RETURN_VALUE
2022-11-23T02:04:39.6478939Z  
2022-11-23T02:04:39.6478964Z 
2022-11-23T02:04:39.6479394Z [2022-11-23 01:58:57,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2657
2022-11-23T02:04:39.6479697Z [2022-11-23 01:58:57,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.6480239Z [2022-11-23 01:58:57,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR signbit [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.6480674Z [2022-11-23 01:58:57,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method signbit of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.6481149Z [2022-11-23 01:58:57,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method signbit of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.6481482Z [2022-11-23 01:58:57,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.6482009Z [2022-11-23 01:58:57,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR signbit [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.6482479Z [2022-11-23 01:58:57,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.6483051Z [2022-11-23 01:58:57,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_NEGATIVE None [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.6483569Z [2022-11-23 01:58:57,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.6483943Z [2022-11-23 01:58:57,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_INVERT None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6484302Z [2022-11-23 01:58:57,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6484716Z [2022-11-23 01:58:57,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_AND None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6485080Z [2022-11-23 01:58:57,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6485399Z [2022-11-23 01:58:57,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6485910Z [2022-11-23 01:58:57,965] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9e4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2656>
2022-11-23T02:04:39.6486303Z [2022-11-23 01:58:57,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6486623Z [2022-11-23 01:58:57,966] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6486963Z [2022-11-23 01:58:57,969] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6487308Z [2022-11-23 01:58:57,978] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6487569Z [2022-11-23 01:58:57,978] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6487762Z  __compiled_fn_293 <eval_with_key>.2235 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6487894Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6488199Z call_function, signbit, <built-in method signbit of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.6488438Z call_function, neg, <built-in function neg>, (ex_0_,), {}
2022-11-23T02:04:39.6488801Z call_function, signbit_1, <built-in method signbit of type object at 0x7fa5855aec60>, (neg,), {}
2022-11-23T02:04:39.6489010Z call_function, invert, <built-in function invert>, (signbit_1,), {}
2022-11-23T02:04:39.6489256Z call_function, and_, <built-in function and_>, (invert, 1), {}
2022-11-23T02:04:39.6489411Z output, output, output, ((signbit, and_),), {}
2022-11-23T02:04:39.6489493Z 
2022-11-23T02:04:39.6489940Z [2022-11-23 01:58:57,979] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6490091Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6490203Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6490328Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6499149Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6499352Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6499492Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6499614Z              12 RETURN_VALUE
2022-11-23T02:04:39.6499637Z 
2022-11-23T02:04:39.6499742Z  
2022-11-23T02:04:39.6500286Z [2022-11-23 01:58:57,979] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6500462Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_293)
2022-11-23T02:04:39.6500604Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6500744Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6500843Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6501203Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.6501371Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.6501526Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6501665Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6501787Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.6501943Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6502056Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6502179Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.6502316Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.6502436Z              26 RETURN_VALUE
2022-11-23T02:04:39.6502461Z 
2022-11-23T02:04:39.6502560Z  
2022-11-23T02:04:39.6502832Z [2022-11-23 01:58:57,980] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6502947Z  - 
2022-11-23T02:04:39.6503095Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6503205Z             {
2022-11-23T02:04:39.6503410Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6503676Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.6503853Z                 'obj_weakref': None
2022-11-23T02:04:39.6504168Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6504275Z             }
2022-11-23T02:04:39.6504352Z             
2022-11-23T02:04:39.6504463Z  - 
2022-11-23T02:04:39.6504647Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6504752Z             {
2022-11-23T02:04:39.6504959Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6505123Z                 'code': None,
2022-11-23T02:04:39.6505425Z                 'obj_weakref': <weakref at 0x7fa51c360fe0; to 'Tensor' at 0x7fa61a8ea7a0>
2022-11-23T02:04:39.6505747Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6505857Z             }
2022-11-23T02:04:39.6505963Z             
2022-11-23T02:04:39.6506077Z  - 
2022-11-23T02:04:39.6506269Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6506371Z             {
2022-11-23T02:04:39.6506567Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6506781Z                 'code': ['___check_obj_id(model, 140348156824160)'],
2022-11-23T02:04:39.6506968Z                 'obj_weakref': None
2022-11-23T02:04:39.6507284Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6507388Z             }
2022-11-23T02:04:39.6507488Z             
2022-11-23T02:04:39.6507601Z  - 
2022-11-23T02:04:39.6507900Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6507977Z             {
2022-11-23T02:04:39.6508177Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6508476Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6508656Z                 'obj_weakref': None
2022-11-23T02:04:39.6508962Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6509064Z             }
2022-11-23T02:04:39.6509169Z             
2022-11-23T02:04:39.6509258Z  - 
2022-11-23T02:04:39.6509458Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.6509560Z             {
2022-11-23T02:04:39.6509738Z                 'guard_types': None,
2022-11-23T02:04:39.6509897Z                 'code': None,
2022-11-23T02:04:39.6510067Z                 'obj_weakref': None
2022-11-23T02:04:39.6510248Z                 'guarded_class': None
2022-11-23T02:04:39.6510325Z             }
2022-11-23T02:04:39.6510431Z             
2022-11-23T02:04:39.6510791Z [2022-11-23 01:58:57,994] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 286
2022-11-23T02:04:39.6511343Z [2022-11-23 01:59:00,607] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/me/cmexcil2mzqhub4w6knea7wvut3fub6mdjh7ossktakxxsfngvq7.py
2022-11-23T02:04:39.6511712Z [2022-11-23 01:59:00,608] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 286
2022-11-23T02:04:39.6511732Z 
2022-11-23T02:04:39.6511878Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6511989Z import torch
2022-11-23T02:04:39.6512102Z import random
2022-11-23T02:04:39.6512248Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6512425Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6512444Z 
2022-11-23T02:04:39.6512570Z aten = torch.ops.aten
2022-11-23T02:04:39.6512770Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6512918Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6512938Z 
2022-11-23T02:04:39.6512956Z 
2022-11-23T02:04:39.6513155Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6513443Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6513623Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6513747Z                        bool* __restrict__ out_ptr0,
2022-11-23T02:04:39.6513896Z                        long* __restrict__ out_ptr1)
2022-11-23T02:04:39.6513996Z {
2022-11-23T02:04:39.6514147Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6514249Z     {
2022-11-23T02:04:39.6514370Z         #pragma omp for 
2022-11-23T02:04:39.6514474Z         for(long i0=0; i0<72; i0+=1)
2022-11-23T02:04:39.6514578Z         {
2022-11-23T02:04:39.6514681Z             {
2022-11-23T02:04:39.6514789Z                 {
2022-11-23T02:04:39.6514931Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.6515124Z                     auto tmp1 = std::signbit(tmp0);
2022-11-23T02:04:39.6515313Z                     auto tmp2 = -tmp0;
2022-11-23T02:04:39.6515441Z                     auto tmp3 = std::signbit(tmp2);
2022-11-23T02:04:39.6515577Z                     auto tmp4 = tmp3 == 0;
2022-11-23T02:04:39.6515739Z                     auto tmp5 = static_cast<long>(tmp4);
2022-11-23T02:04:39.6515893Z                     auto tmp6 = static_cast<long>(1);
2022-11-23T02:04:39.6516034Z                     auto tmp7 = tmp5 & tmp6;
2022-11-23T02:04:39.6516164Z                     out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.6516292Z                     out_ptr1[i0] = tmp7;
2022-11-23T02:04:39.6516396Z                 }
2022-11-23T02:04:39.6516480Z             }
2022-11-23T02:04:39.6516581Z         }
2022-11-23T02:04:39.6516683Z     }
2022-11-23T02:04:39.6516779Z }
2022-11-23T02:04:39.6516905Z ''')
2022-11-23T02:04:39.6516925Z 
2022-11-23T02:04:39.6516943Z 
2022-11-23T02:04:39.6517081Z async_compile.wait(globals())
2022-11-23T02:04:39.6517237Z del async_compile
2022-11-23T02:04:39.6517277Z 
2022-11-23T02:04:39.6517365Z def call(args):
2022-11-23T02:04:39.6517476Z     arg0_1, = args
2022-11-23T02:04:39.6517591Z     args.clear()
2022-11-23T02:04:39.6517888Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.6518178Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.6518416Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.6518527Z     del arg0_1
2022-11-23T02:04:39.6518627Z     return (buf0, buf1, )
2022-11-23T02:04:39.6518646Z 
2022-11-23T02:04:39.6518687Z 
2022-11-23T02:04:39.6518781Z if __name__ == "__main__":
2022-11-23T02:04:39.6518947Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6519125Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6519421Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6519587Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.6519606Z 
2022-11-23T02:04:39.6519713Z ok (2.673s)
2022-11-23T02:04:39.6520175Z   test_silu_cpu (__main__.CpuTests) ... [2022-11-23 01:59:00,614] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6520614Z [2022-11-23 01:59:00,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6520898Z [2022-11-23 01:59:00,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6521252Z [2022-11-23 01:59:00,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6521638Z [2022-11-23 01:59:00,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6522074Z [2022-11-23 01:59:00,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6522552Z [2022-11-23 01:59:00,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6522997Z [2022-11-23 01:59:00,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6523510Z [2022-11-23 01:59:00,615] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa6411303a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1036> 
2022-11-23T02:04:39.6523660Z  1037           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.6523804Z                2 LOAD_ATTR                1 (nn)
2022-11-23T02:04:39.6523929Z                4 LOAD_ATTR                2 (functional)
2022-11-23T02:04:39.6524069Z                6 LOAD_METHOD              3 (silu)
2022-11-23T02:04:39.6524210Z                8 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6524346Z               10 CALL_METHOD              1
2022-11-23T02:04:39.6524481Z               12 BUILD_TUPLE              1
2022-11-23T02:04:39.6524608Z               14 RETURN_VALUE
2022-11-23T02:04:39.6524708Z  
2022-11-23T02:04:39.6524727Z 
2022-11-23T02:04:39.6525164Z [2022-11-23 01:59:00,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1037
2022-11-23T02:04:39.6525448Z [2022-11-23 01:59:00,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.6525937Z [2022-11-23 01:59:00,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.6526452Z [2022-11-23 01:59:00,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T02:04:39.6527139Z [2022-11-23 01:59:00,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR silu [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.6527531Z [2022-11-23 01:59:00,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function silu at 0x7fa55b6d7640>)]
2022-11-23T02:04:39.6527959Z [2022-11-23 01:59:00,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function silu at 0x7fa55b6d7640>), TensorVariable()]
2022-11-23T02:04:39.6528313Z [2022-11-23 01:59:00,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:39.6528630Z [2022-11-23 01:59:00,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6529138Z [2022-11-23 01:59:00,622] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa6411303a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1036>
2022-11-23T02:04:39.6529488Z [2022-11-23 01:59:00,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6529880Z [2022-11-23 01:59:00,622] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6530237Z [2022-11-23 01:59:00,624] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6530589Z [2022-11-23 01:59:00,630] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6530858Z [2022-11-23 01:59:00,630] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6531051Z  __compiled_fn_294 <eval_with_key>.2241 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6531188Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6531350Z call_function, silu, <function silu at 0x7fa55b6d7640>, (ex_0_,), {}
2022-11-23T02:04:39.6531498Z output, output, output, ((silu,),), {}
2022-11-23T02:04:39.6531519Z 
2022-11-23T02:04:39.6531963Z [2022-11-23 01:59:00,631] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6532107Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6532245Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6532378Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6532523Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6532652Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6532763Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6532876Z              12 RETURN_VALUE
2022-11-23T02:04:39.6532896Z 
2022-11-23T02:04:39.6532990Z  
2022-11-23T02:04:39.6533424Z [2022-11-23 01:59:00,631] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6533588Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_294)
2022-11-23T02:04:39.6533729Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6533869Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6533990Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6534099Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.6534254Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.6534410Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6534542Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6534664Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.6534798Z              18 BUILD_TUPLE              1
2022-11-23T02:04:39.6534914Z              20 RETURN_VALUE
2022-11-23T02:04:39.6534932Z 
2022-11-23T02:04:39.6535006Z  
2022-11-23T02:04:39.6535266Z [2022-11-23 01:59:00,632] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6535478Z  - 
2022-11-23T02:04:39.6535655Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6535760Z             {
2022-11-23T02:04:39.6535960Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6536859Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.6537144Z                 'obj_weakref': None
2022-11-23T02:04:39.6537671Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6537836Z             }
2022-11-23T02:04:39.6537999Z             
2022-11-23T02:04:39.6538176Z  - 
2022-11-23T02:04:39.6538464Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6538571Z             {
2022-11-23T02:04:39.6538756Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6538912Z                 'code': None,
2022-11-23T02:04:39.6539200Z                 'obj_weakref': <weakref at 0x7fa532164180; to 'Tensor' at 0x7fa531f7f150>
2022-11-23T02:04:39.6539554Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6539659Z             }
2022-11-23T02:04:39.6539755Z             
2022-11-23T02:04:39.6539865Z  - 
2022-11-23T02:04:39.6540182Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6540291Z             {
2022-11-23T02:04:39.6540490Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6540727Z                 'code': ['___check_obj_id(model, 140347994909296)'],
2022-11-23T02:04:39.6540898Z                 'obj_weakref': None
2022-11-23T02:04:39.6541216Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6541318Z             }
2022-11-23T02:04:39.6541395Z             
2022-11-23T02:04:39.6541508Z  - 
2022-11-23T02:04:39.6541698Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6541778Z             {
2022-11-23T02:04:39.6542021Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6542277Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6542450Z                 'obj_weakref': None
2022-11-23T02:04:39.6542735Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6542837Z             }
2022-11-23T02:04:39.6542939Z             
2022-11-23T02:04:39.6543047Z  - 
2022-11-23T02:04:39.6543239Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.6543342Z             {
2022-11-23T02:04:39.6543516Z                 'guard_types': None,
2022-11-23T02:04:39.6543649Z                 'code': None,
2022-11-23T02:04:39.6543818Z                 'obj_weakref': None
2022-11-23T02:04:39.6543995Z                 'guarded_class': None
2022-11-23T02:04:39.6544095Z             }
2022-11-23T02:04:39.6544199Z             
2022-11-23T02:04:39.6544555Z [2022-11-23 01:59:00,643] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 287
2022-11-23T02:04:39.6545051Z [2022-11-23 01:59:03,257] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lo/clorjbrexmjeljot4hfc5nue4obssm7bu46ib5fg6or4texnn6r6.py
2022-11-23T02:04:39.6545393Z [2022-11-23 01:59:03,258] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 287
2022-11-23T02:04:39.6545446Z 
2022-11-23T02:04:39.6545564Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6545674Z import torch
2022-11-23T02:04:39.6545785Z import random
2022-11-23T02:04:39.6545956Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6546130Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6546151Z 
2022-11-23T02:04:39.6546277Z aten = torch.ops.aten
2022-11-23T02:04:39.6546470Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6546585Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6546604Z 
2022-11-23T02:04:39.6546646Z 
2022-11-23T02:04:39.6546931Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6547212Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6547388Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6547542Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.6547642Z {
2022-11-23T02:04:39.6547788Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6547888Z     {
2022-11-23T02:04:39.6547985Z         #pragma omp for 
2022-11-23T02:04:39.6548112Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.6548209Z         {
2022-11-23T02:04:39.6548423Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.6548618Z             auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp());
2022-11-23T02:04:39.6548747Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.6548884Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.6548961Z         }
2022-11-23T02:04:39.6549107Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.6549233Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.6549337Z         {
2022-11-23T02:04:39.6549466Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.6549663Z             auto tmp1 = std::exp(-tmp0);
2022-11-23T02:04:39.6549850Z             auto tmp2 = 1 / (1 + tmp1);
2022-11-23T02:04:39.6549960Z             auto tmp3 = tmp0 * tmp2;
2022-11-23T02:04:39.6550084Z             out_ptr0[i0] = tmp3;
2022-11-23T02:04:39.6550183Z         }
2022-11-23T02:04:39.6550286Z     }
2022-11-23T02:04:39.6550384Z }
2022-11-23T02:04:39.6550509Z ''')
2022-11-23T02:04:39.6550528Z 
2022-11-23T02:04:39.6550547Z 
2022-11-23T02:04:39.6550682Z async_compile.wait(globals())
2022-11-23T02:04:39.6550773Z del async_compile
2022-11-23T02:04:39.6550793Z 
2022-11-23T02:04:39.6550904Z def call(args):
2022-11-23T02:04:39.6551011Z     arg0_1, = args
2022-11-23T02:04:39.6551126Z     args.clear()
2022-11-23T02:04:39.6551404Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6551602Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.6551711Z     del arg0_1
2022-11-23T02:04:39.6551798Z     return (buf0, )
2022-11-23T02:04:39.6551817Z 
2022-11-23T02:04:39.6551840Z 
2022-11-23T02:04:39.6551957Z if __name__ == "__main__":
2022-11-23T02:04:39.6552124Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6552301Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6552577Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6552738Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.6552757Z 
2022-11-23T02:04:39.6552858Z ok (2.650s)
2022-11-23T02:04:39.6553289Z   test_simplify_loops_cpu (__main__.CpuTests) ... [2022-11-23 01:59:03,266] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6553694Z [2022-11-23 01:59:03,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6554002Z [2022-11-23 01:59:03,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6554386Z [2022-11-23 01:59:03,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6554768Z [2022-11-23 01:59:03,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6555203Z [2022-11-23 01:59:03,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6555671Z [2022-11-23 01:59:03,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6556106Z [2022-11-23 01:59:03,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6556679Z [2022-11-23 01:59:03,267] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641132130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1281> 
2022-11-23T02:04:39.6556826Z  1282           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6556967Z                2 LOAD_FAST                1 (b)
2022-11-23T02:04:39.6557059Z                4 BINARY_ADD
2022-11-23T02:04:39.6557179Z                6 RETURN_VALUE
2022-11-23T02:04:39.6557276Z  
2022-11-23T02:04:39.6557296Z 
2022-11-23T02:04:39.6557726Z [2022-11-23 01:59:03,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1282
2022-11-23T02:04:39.6558016Z [2022-11-23 01:59:03,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.6558340Z [2022-11-23 01:59:03,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:39.6558717Z [2022-11-23 01:59:03,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6559100Z [2022-11-23 01:59:03,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6559615Z [2022-11-23 01:59:03,270] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641132130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1281>
2022-11-23T02:04:39.6559928Z [2022-11-23 01:59:03,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6560251Z [2022-11-23 01:59:03,270] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6560598Z [2022-11-23 01:59:03,272] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6560945Z [2022-11-23 01:59:03,277] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6561215Z [2022-11-23 01:59:03,278] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6561410Z  __compiled_fn_295 <eval_with_key>.2247 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6561550Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6561682Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.6561911Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.6562050Z output, output, output, ((add,),), {}
2022-11-23T02:04:39.6562070Z 
2022-11-23T02:04:39.6562510Z [2022-11-23 01:59:03,278] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6562648Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6562786Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6562920Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6563069Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6563202Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6563311Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6563431Z              12 RETURN_VALUE
2022-11-23T02:04:39.6563454Z 
2022-11-23T02:04:39.6563565Z  
2022-11-23T02:04:39.6564008Z [2022-11-23 01:59:03,279] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6564170Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_295)
2022-11-23T02:04:39.6564308Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6564450Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6564566Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6564679Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6564813Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6564929Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.6565132Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.6565269Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.6565388Z              18 RETURN_VALUE
2022-11-23T02:04:39.6565407Z 
2022-11-23T02:04:39.6565503Z  
2022-11-23T02:04:39.6565743Z [2022-11-23 01:59:03,280] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6565856Z  - 
2022-11-23T02:04:39.6566026Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6566134Z             {
2022-11-23T02:04:39.6566341Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6566605Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.6566783Z                 'obj_weakref': None
2022-11-23T02:04:39.6567069Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6567176Z             }
2022-11-23T02:04:39.6567279Z             
2022-11-23T02:04:39.6567390Z  - 
2022-11-23T02:04:39.6567580Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6567683Z             {
2022-11-23T02:04:39.6567890Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6568025Z                 'code': None,
2022-11-23T02:04:39.6568374Z                 'obj_weakref': <weakref at 0x7fa5322a7c90; to 'Tensor' at 0x7fa52465aa20>
2022-11-23T02:04:39.6568730Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6568834Z             }
2022-11-23T02:04:39.6568937Z             
2022-11-23T02:04:39.6569049Z  - 
2022-11-23T02:04:39.6569225Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.6569303Z             {
2022-11-23T02:04:39.6569506Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6569664Z                 'code': None,
2022-11-23T02:04:39.6569961Z                 'obj_weakref': <weakref at 0x7fa5500e7380; to 'Tensor' at 0x7fa531f7f150>
2022-11-23T02:04:39.6570305Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6570412Z             }
2022-11-23T02:04:39.6570513Z             
2022-11-23T02:04:39.6570599Z  - 
2022-11-23T02:04:39.6570789Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6570895Z             {
2022-11-23T02:04:39.6571088Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6571335Z                 'code': ['___check_obj_id(model, 140347487990496)'],
2022-11-23T02:04:39.6571508Z                 'obj_weakref': None
2022-11-23T02:04:39.6571823Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6571903Z             }
2022-11-23T02:04:39.6572012Z             
2022-11-23T02:04:39.6572125Z  - 
2022-11-23T02:04:39.6572299Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6572401Z             {
2022-11-23T02:04:39.6572595Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6572901Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6573050Z                 'obj_weakref': None
2022-11-23T02:04:39.6573494Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6573598Z             }
2022-11-23T02:04:39.6573698Z             
2022-11-23T02:04:39.6574051Z [2022-11-23 01:59:03,289] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 288
2022-11-23T02:04:39.6574545Z [2022-11-23 01:59:05,963] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c5/cc5r53whscwpm2izx5dh7a5mq7rgtubq77u4p77p2tlrbbxy65rj.py
2022-11-23T02:04:39.6574910Z [2022-11-23 01:59:05,963] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 288
2022-11-23T02:04:39.6574931Z 
2022-11-23T02:04:39.6575072Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6575159Z import torch
2022-11-23T02:04:39.6575366Z import random
2022-11-23T02:04:39.6575537Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6575720Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6575740Z 
2022-11-23T02:04:39.6575861Z aten = torch.ops.aten
2022-11-23T02:04:39.6576597Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6576841Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6576870Z 
2022-11-23T02:04:39.6576897Z 
2022-11-23T02:04:39.6577252Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6577704Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6577999Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6578165Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.6578316Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.6578417Z {
2022-11-23T02:04:39.6578569Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6578674Z     {
2022-11-23T02:04:39.6578786Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.6578907Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T02:04:39.6579004Z         {
2022-11-23T02:04:39.6579131Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.6579396Z             {
2022-11-23T02:04:39.6579540Z                 for(long i2=0; i2<3; i2+=1)
2022-11-23T02:04:39.6579648Z                 {
2022-11-23T02:04:39.6579868Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (30*i1) + (120*i0));
2022-11-23T02:04:39.6580080Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i2) + (30*i0) + (180*i1));
2022-11-23T02:04:39.6580219Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.6580384Z                     tmp2.store(out_ptr0 + (8*i2) + (30*i1) + (120*i0));
2022-11-23T02:04:39.6580487Z                 }
2022-11-23T02:04:39.6580633Z                 #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.6580773Z                 for(long i2=24; i2<30; i2+=1)
2022-11-23T02:04:39.6580879Z                 {
2022-11-23T02:04:39.6581014Z                     auto tmp0 = in_ptr0[i2 + (30*i1) + (120*i0)];
2022-11-23T02:04:39.6581168Z                     auto tmp1 = in_ptr1[i2 + (30*i0) + (180*i1)];
2022-11-23T02:04:39.6581308Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.6581457Z                     out_ptr0[i2 + (30*i1) + (120*i0)] = tmp2;
2022-11-23T02:04:39.6581561Z                 }
2022-11-23T02:04:39.6581663Z             }
2022-11-23T02:04:39.6581766Z         }
2022-11-23T02:04:39.6581844Z     }
2022-11-23T02:04:39.6581939Z }
2022-11-23T02:04:39.6582088Z ''')
2022-11-23T02:04:39.6582107Z 
2022-11-23T02:04:39.6582125Z 
2022-11-23T02:04:39.6582268Z async_compile.wait(globals())
2022-11-23T02:04:39.6582380Z del async_compile
2022-11-23T02:04:39.6582399Z 
2022-11-23T02:04:39.6582513Z def call(args):
2022-11-23T02:04:39.6582633Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.6582720Z     args.clear()
2022-11-23T02:04:39.6583042Z     buf0 = empty_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6583274Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.6583385Z     del arg0_1
2022-11-23T02:04:39.6583497Z     del arg1_1
2022-11-23T02:04:39.6583610Z     return (buf0, )
2022-11-23T02:04:39.6583631Z 
2022-11-23T02:04:39.6583650Z 
2022-11-23T02:04:39.6583763Z if __name__ == "__main__":
2022-11-23T02:04:39.6583934Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6584089Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6584403Z     arg0_1 = rand_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6584718Z     arg1_1 = rand_strided((2, 3, 4, 5, 6), (90, 30, 180, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6584883Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.6585001Z 
2022-11-23T02:04:39.6585113Z ok (2.705s)
2022-11-23T02:04:39.6585519Z   test_sin_cpu (__main__.CpuTests) ... [2022-11-23 01:59:05,971] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6585951Z [2022-11-23 01:59:05,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6586303Z [2022-11-23 01:59:05,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6586630Z [2022-11-23 01:59:05,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6587012Z [2022-11-23 01:59:05,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6587449Z [2022-11-23 01:59:05,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6587921Z [2022-11-23 01:59:05,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6588408Z [2022-11-23 01:59:05,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6588927Z [2022-11-23 01:59:05,972] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fbab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2143> 
2022-11-23T02:04:39.6589071Z  2144           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.6589214Z                2 LOAD_METHOD              1 (sin)
2022-11-23T02:04:39.6589356Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.6589492Z                6 CALL_METHOD              1
2022-11-23T02:04:39.6589606Z                8 LOAD_CONST               1 (2)
2022-11-23T02:04:39.6589720Z               10 BINARY_ADD
2022-11-23T02:04:39.6589862Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.6589998Z               14 LOAD_METHOD              1 (sin)
2022-11-23T02:04:39.6590136Z               16 LOAD_FAST                0 (x)
2022-11-23T02:04:39.6590269Z               18 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6590383Z               20 BINARY_ADD
2022-11-23T02:04:39.6590492Z               22 CALL_METHOD              1
2022-11-23T02:04:39.6590627Z               24 BUILD_TUPLE              2
2022-11-23T02:04:39.6590742Z               26 RETURN_VALUE
2022-11-23T02:04:39.6590836Z  
2022-11-23T02:04:39.6590856Z 
2022-11-23T02:04:39.6591289Z [2022-11-23 01:59:05,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2144
2022-11-23T02:04:39.6591585Z [2022-11-23 01:59:05,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.6592000Z [2022-11-23 01:59:05,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sin [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.6592346Z [2022-11-23 01:59:05,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.sin)]
2022-11-23T02:04:39.6592711Z [2022-11-23 01:59:05,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sin), TensorVariable()]
2022-11-23T02:04:39.6593043Z [2022-11-23 01:59:05,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:39.6593425Z [2022-11-23 01:59:05,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6593760Z [2022-11-23 01:59:05,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.6594206Z [2022-11-23 01:59:05,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.6594642Z [2022-11-23 01:59:05,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.sin)]
2022-11-23T02:04:39.6595060Z [2022-11-23 01:59:05,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.sin), TensorVariable()]
2022-11-23T02:04:39.6595530Z [2022-11-23 01:59:05,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.sin), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6595949Z [2022-11-23 01:59:05,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.sin), TensorVariable()]
2022-11-23T02:04:39.6596316Z [2022-11-23 01:59:05,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6596626Z [2022-11-23 01:59:05,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6597136Z [2022-11-23 01:59:05,997] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fbab80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2143>
2022-11-23T02:04:39.6597530Z [2022-11-23 01:59:05,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6597860Z [2022-11-23 01:59:05,997] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6598207Z [2022-11-23 01:59:05,999] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6598551Z [2022-11-23 01:59:06,006] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6598817Z [2022-11-23 01:59:06,006] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6599013Z  __compiled_fn_296 <eval_with_key>.2253 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6599149Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6599280Z call_function, sin, aten.sin, (ex_0_,), {}
2022-11-23T02:04:39.6599521Z call_function, add, <built-in function add>, (sin, 2), {}
2022-11-23T02:04:39.6599769Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.6599925Z call_function, sin_1, aten.sin, (add_1,), {}
2022-11-23T02:04:39.6600073Z output, output, output, ((add, sin_1),), {}
2022-11-23T02:04:39.6600093Z 
2022-11-23T02:04:39.6600537Z [2022-11-23 01:59:06,007] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6600682Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6600820Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6600929Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6601071Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6601199Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6601332Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6601458Z              12 RETURN_VALUE
2022-11-23T02:04:39.6601478Z 
2022-11-23T02:04:39.6601579Z  
2022-11-23T02:04:39.6602026Z [2022-11-23 01:59:06,007] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6602189Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_296)
2022-11-23T02:04:39.6602302Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6602442Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6602558Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6602691Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.6602849Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.6602997Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6603137Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6603235Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.6603481Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6603617Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6603737Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.6603874Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.6603995Z              26 RETURN_VALUE
2022-11-23T02:04:39.6604015Z 
2022-11-23T02:04:39.6604111Z  
2022-11-23T02:04:39.6604348Z [2022-11-23 01:59:06,008] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6604457Z  - 
2022-11-23T02:04:39.6604632Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6604737Z             {
2022-11-23T02:04:39.6604939Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6605206Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.6605382Z                 'obj_weakref': None
2022-11-23T02:04:39.6605671Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6605783Z             }
2022-11-23T02:04:39.6605883Z             
2022-11-23T02:04:39.6605995Z  - 
2022-11-23T02:04:39.6606175Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6606279Z             {
2022-11-23T02:04:39.6606549Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6606692Z                 'code': None,
2022-11-23T02:04:39.6606987Z                 'obj_weakref': <weakref at 0x7fa5500e6f70; to 'Tensor' at 0x7fa51c353dd0>
2022-11-23T02:04:39.6607334Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6607438Z             }
2022-11-23T02:04:39.6607541Z             
2022-11-23T02:04:39.6607653Z  - 
2022-11-23T02:04:39.6607839Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6607915Z             {
2022-11-23T02:04:39.6608109Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6608352Z                 'code': ['___check_obj_id(model, 140347487990496)'],
2022-11-23T02:04:39.6608532Z                 'obj_weakref': None
2022-11-23T02:04:39.6608852Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6608952Z             }
2022-11-23T02:04:39.6609057Z             
2022-11-23T02:04:39.6609148Z  - 
2022-11-23T02:04:39.6609325Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6609428Z             {
2022-11-23T02:04:39.6609623Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6609918Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6610087Z                 'obj_weakref': None
2022-11-23T02:04:39.6610392Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6610470Z             }
2022-11-23T02:04:39.6610573Z             
2022-11-23T02:04:39.6610685Z  - 
2022-11-23T02:04:39.6610873Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.6610984Z             {
2022-11-23T02:04:39.6611159Z                 'guard_types': None,
2022-11-23T02:04:39.6611319Z                 'code': None,
2022-11-23T02:04:39.6611465Z                 'obj_weakref': None
2022-11-23T02:04:39.6611644Z                 'guarded_class': None
2022-11-23T02:04:39.6611749Z             }
2022-11-23T02:04:39.6611849Z             
2022-11-23T02:04:39.6612210Z [2022-11-23 01:59:06,020] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 289
2022-11-23T02:04:39.6612699Z [2022-11-23 01:59:08,669] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/23/c235v3mmylswvjediut5zp6cusd7hvqazv744ssvdewht4nua5i2.py
2022-11-23T02:04:39.6613057Z [2022-11-23 01:59:08,669] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 289
2022-11-23T02:04:39.6613078Z 
2022-11-23T02:04:39.6613220Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6613306Z import torch
2022-11-23T02:04:39.6613496Z import random
2022-11-23T02:04:39.6613663Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6613838Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6613858Z 
2022-11-23T02:04:39.6613981Z aten = torch.ops.aten
2022-11-23T02:04:39.6614175Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6614312Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6614331Z 
2022-11-23T02:04:39.6614350Z 
2022-11-23T02:04:39.6614549Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6614811Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6614984Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6615133Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.6615280Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.6615379Z {
2022-11-23T02:04:39.6615521Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6615627Z     {
2022-11-23T02:04:39.6615725Z         #pragma omp for 
2022-11-23T02:04:39.6615849Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.6615950Z         {
2022-11-23T02:04:39.6616861Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.6617282Z             auto tmp1 = tmp0.sin();
2022-11-23T02:04:39.6617625Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:39.6617839Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:39.6618124Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.6618329Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T02:04:39.6618500Z             auto tmp6 = tmp5.sin();
2022-11-23T02:04:39.6618638Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.6618775Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.6618874Z         }
2022-11-23T02:04:39.6619018Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.6619128Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T02:04:39.6619229Z         {
2022-11-23T02:04:39.6619356Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.6619493Z             auto tmp1 = std::sin(tmp0);
2022-11-23T02:04:39.6619645Z             auto tmp2 = static_cast<float>(2);
2022-11-23T02:04:39.6619771Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:39.6619917Z             auto tmp4 = static_cast<float>(1);
2022-11-23T02:04:39.6620022Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T02:04:39.6620157Z             auto tmp6 = std::sin(tmp5);
2022-11-23T02:04:39.6620278Z             out_ptr0[i0] = tmp3;
2022-11-23T02:04:39.6620399Z             out_ptr1[i0] = tmp6;
2022-11-23T02:04:39.6620499Z         }
2022-11-23T02:04:39.6620603Z     }
2022-11-23T02:04:39.6620699Z }
2022-11-23T02:04:39.6620828Z ''')
2022-11-23T02:04:39.6620847Z 
2022-11-23T02:04:39.6620887Z 
2022-11-23T02:04:39.6621002Z async_compile.wait(globals())
2022-11-23T02:04:39.6621115Z del async_compile
2022-11-23T02:04:39.6621138Z 
2022-11-23T02:04:39.6621253Z def call(args):
2022-11-23T02:04:39.6621361Z     arg0_1, = args
2022-11-23T02:04:39.6621474Z     args.clear()
2022-11-23T02:04:39.6621757Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6622030Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6622241Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.6622351Z     del arg0_1
2022-11-23T02:04:39.6622468Z     return (buf0, buf1, )
2022-11-23T02:04:39.6622487Z 
2022-11-23T02:04:39.6622505Z 
2022-11-23T02:04:39.6622620Z if __name__ == "__main__":
2022-11-23T02:04:39.6622782Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6622962Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6623244Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6623401Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.6623529Z 
2022-11-23T02:04:39.6623618Z ok (2.706s)
2022-11-23T02:04:39.6624048Z   test_sizehint_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:59:08,680] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6624478Z [2022-11-23 01:59:08,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6624781Z [2022-11-23 01:59:08,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6625128Z [2022-11-23 01:59:08,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6625507Z [2022-11-23 01:59:08,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6625944Z [2022-11-23 01:59:08,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6626411Z [2022-11-23 01:59:08,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6626897Z [2022-11-23 01:59:08,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6627419Z [2022-11-23 01:59:08,681] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fa640f589d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4498> 
2022-11-23T02:04:39.6627541Z  4499           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.6627678Z                2 LOAD_ATTR                1 (nn)
2022-11-23T02:04:39.6627827Z                4 LOAD_ATTR                2 (functional)
2022-11-23T02:04:39.6627966Z                6 LOAD_ATTR                3 (unfold)
2022-11-23T02:04:39.6627986Z 
2022-11-23T02:04:39.6628127Z 4500           8 LOAD_FAST                0 (x)
2022-11-23T02:04:39.6628265Z               10 LOAD_CONST               1 (4)
2022-11-23T02:04:39.6628404Z               12 LOAD_CONST               1 (4)
2022-11-23T02:04:39.6628538Z               14 BUILD_LIST               2
2022-11-23T02:04:39.6628652Z               16 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6628783Z               18 LOAD_CONST               3 (0)
2022-11-23T02:04:39.6628920Z               20 LOAD_CONST               1 (4)
2022-11-23T02:04:39.6629052Z               22 LOAD_CONST               1 (4)
2022-11-23T02:04:39.6629186Z               24 BUILD_LIST               2
2022-11-23T02:04:39.6629205Z 
2022-11-23T02:04:39.6629501Z 4499          26 LOAD_CONST               4 (('kernel_size', 'dilation', 'padding', 'stride'))
2022-11-23T02:04:39.6629640Z               28 CALL_FUNCTION_KW         5
2022-11-23T02:04:39.6629736Z               30 RETURN_VALUE
2022-11-23T02:04:39.6629831Z  
2022-11-23T02:04:39.6629850Z 
2022-11-23T02:04:39.6630285Z [2022-11-23 01:59:08,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4499
2022-11-23T02:04:39.6630590Z [2022-11-23 01:59:08,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.6631081Z [2022-11-23 01:59:08,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.6631601Z [2022-11-23 01:59:08,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T02:04:39.6632144Z [2022-11-23 01:59:08,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unfold [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T02:04:39.6632572Z [2022-11-23 01:59:08,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4500
2022-11-23T02:04:39.6633032Z [2022-11-23 01:59:08,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function unfold at 0x7fa55b549120>)]
2022-11-23T02:04:39.6633464Z [2022-11-23 01:59:08,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7fa55b549120>), TensorVariable()]
2022-11-23T02:04:39.6633943Z [2022-11-23 01:59:08,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7fa55b549120>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6634438Z [2022-11-23 01:59:08,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<function unfold at 0x7fa55b549120>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.6634893Z [2022-11-23 01:59:08,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<function unfold at 0x7fa55b549120>), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.6635449Z [2022-11-23 01:59:08,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<function unfold at 0x7fa55b549120>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6636079Z [2022-11-23 01:59:08,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7fa55b549120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.6636678Z [2022-11-23 01:59:08,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7fa55b549120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.6637314Z [2022-11-23 01:59:08,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<function unfold at 0x7fa55b549120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.6637745Z [2022-11-23 01:59:08,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4499
2022-11-23T02:04:39.6638418Z [2022-11-23 01:59:08,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('kernel_size', 'dilation', 'padding', 'stride') [TorchVariable(<function unfold at 0x7fa55b549120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ListVariable()]
2022-11-23T02:04:39.6639077Z [2022-11-23 01:59:08,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(<function unfold at 0x7fa55b549120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:39.6639415Z [2022-11-23 01:59:08,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6639938Z [2022-11-23 01:59:08,700] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fa640f589d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4498>
2022-11-23T02:04:39.6640281Z [2022-11-23 01:59:08,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6640611Z [2022-11-23 01:59:08,700] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6640965Z [2022-11-23 01:59:08,702] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6641283Z [2022-11-23 01:59:08,718] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6641551Z [2022-11-23 01:59:08,718] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6641744Z  __compiled_fn_297 <eval_with_key>.2259 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6641950Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6642348Z call_function, unfold, <function unfold at 0x7fa55b549120>, (ex_0_,), {'kernel_size': [4, 4], 'dilation': 1, 'padding': 0, 'stride': [4, 4]}
2022-11-23T02:04:39.6642498Z output, output, output, ((unfold,),), {}
2022-11-23T02:04:39.6642523Z 
2022-11-23T02:04:39.6642960Z [2022-11-23 01:59:08,719] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6643099Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6643238Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6643348Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6643487Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6643614Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6643748Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6643864Z              12 RETURN_VALUE
2022-11-23T02:04:39.6643888Z 
2022-11-23T02:04:39.6643982Z  
2022-11-23T02:04:39.6644429Z [2022-11-23 01:59:08,719] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6644623Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_297)
2022-11-23T02:04:39.6644771Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6644906Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6645024Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6645156Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.6645297Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.6645409Z              12 RETURN_VALUE
2022-11-23T02:04:39.6645429Z 
2022-11-23T02:04:39.6645525Z  
2022-11-23T02:04:39.6645767Z [2022-11-23 01:59:08,720] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6645878Z  - 
2022-11-23T02:04:39.6646052Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6646161Z             {
2022-11-23T02:04:39.6646364Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6646629Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.6646806Z                 'obj_weakref': None
2022-11-23T02:04:39.6647101Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6647202Z             }
2022-11-23T02:04:39.6647302Z             
2022-11-23T02:04:39.6647415Z  - 
2022-11-23T02:04:39.6647600Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6647696Z             {
2022-11-23T02:04:39.6647901Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6648036Z                 'code': None,
2022-11-23T02:04:39.6648328Z                 'obj_weakref': <weakref at 0x7fa53228ede0; to 'Tensor' at 0x7fa52467fbf0>
2022-11-23T02:04:39.6648680Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6648789Z             }
2022-11-23T02:04:39.6648888Z             
2022-11-23T02:04:39.6649005Z  - 
2022-11-23T02:04:39.6649196Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6649274Z             {
2022-11-23T02:04:39.6649461Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6649700Z                 'code': ['___check_obj_id(model, 140347257208352)'],
2022-11-23T02:04:39.6649875Z                 'obj_weakref': None
2022-11-23T02:04:39.6650188Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6650290Z             }
2022-11-23T02:04:39.6650390Z             
2022-11-23T02:04:39.6650477Z  - 
2022-11-23T02:04:39.6650650Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6650754Z             {
2022-11-23T02:04:39.6650950Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6651247Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6651518Z                 'obj_weakref': None
2022-11-23T02:04:39.6651948Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6652026Z             }
2022-11-23T02:04:39.6652124Z             
2022-11-23T02:04:39.6652241Z  - 
2022-11-23T02:04:39.6652435Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.6652540Z             {
2022-11-23T02:04:39.6652712Z                 'guard_types': None,
2022-11-23T02:04:39.6652846Z                 'code': None,
2022-11-23T02:04:39.6653017Z                 'obj_weakref': None
2022-11-23T02:04:39.6653189Z                 'guarded_class': None
2022-11-23T02:04:39.6653287Z             }
2022-11-23T02:04:39.6653382Z             
2022-11-23T02:04:39.6653742Z [2022-11-23 01:59:08,754] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 290
2022-11-23T02:04:39.6654247Z [2022-11-23 01:59:11,519] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lf/clfbh5ggsvfp2zqrpgauwoimuscszq4rylw5qxqowmmw76tlvqb6.py
2022-11-23T02:04:39.6654623Z [2022-11-23 01:59:11,519] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 290
2022-11-23T02:04:39.6654643Z 
2022-11-23T02:04:39.6654817Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6654934Z import torch
2022-11-23T02:04:39.6655050Z import random
2022-11-23T02:04:39.6655221Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6655397Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6655417Z 
2022-11-23T02:04:39.6655537Z aten = torch.ops.aten
2022-11-23T02:04:39.6655735Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6655873Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6655893Z 
2022-11-23T02:04:39.6655912Z 
2022-11-23T02:04:39.6656802Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6657290Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6657593Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6657820Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.6657923Z {
2022-11-23T02:04:39.6658072Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6658176Z     {
2022-11-23T02:04:39.6658273Z         #pragma omp for 
2022-11-23T02:04:39.6658396Z         for(long i0=0; i0<48; i0+=1)
2022-11-23T02:04:39.6658499Z         {
2022-11-23T02:04:39.6658624Z             #pragma GCC ivdep
2022-11-23T02:04:39.6658750Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.6658855Z             {
2022-11-23T02:04:39.6658983Z                 #pragma GCC ivdep
2022-11-23T02:04:39.6659095Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T02:04:39.6659198Z                 {
2022-11-23T02:04:39.6659326Z                     #pragma GCC ivdep
2022-11-23T02:04:39.6659464Z                     for(long i3=0; i3<14; i3+=1)
2022-11-23T02:04:39.6659568Z                     {
2022-11-23T02:04:39.6659707Z                         #pragma GCC ivdep
2022-11-23T02:04:39.6659850Z                         for(long i4=0; i4<14; i4+=1)
2022-11-23T02:04:39.6659935Z                         {
2022-11-23T02:04:39.6660043Z                             {
2022-11-23T02:04:39.6660160Z                                 {
2022-11-23T02:04:39.6660330Z                                     auto tmp0 = static_cast<long>(4*i3);
2022-11-23T02:04:39.6660498Z                                     auto tmp1 = static_cast<long>(i1);
2022-11-23T02:04:39.6660652Z                                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.6660817Z                                     auto tmp3 = static_cast<long>(4*i4);
2022-11-23T02:04:39.6660956Z                                     auto tmp4 = static_cast<long>(i2);
2022-11-23T02:04:39.6661103Z                                     auto tmp5 = tmp3 + tmp4;
2022-11-23T02:04:39.6661276Z                                     auto tmp6 = in_ptr0[tmp5 + (56*tmp2) + (3136*i0)];
2022-11-23T02:04:39.6661631Z                                     out_ptr0[i4 + (14*i3) + (196*i2) + (784*i1) + (3136*i0)] = tmp6;
2022-11-23T02:04:39.6661750Z                                 }
2022-11-23T02:04:39.6661858Z                             }
2022-11-23T02:04:39.6661968Z                         }
2022-11-23T02:04:39.6662073Z                     }
2022-11-23T02:04:39.6662151Z                 }
2022-11-23T02:04:39.6662251Z             }
2022-11-23T02:04:39.6662352Z         }
2022-11-23T02:04:39.6662451Z     }
2022-11-23T02:04:39.6662546Z }
2022-11-23T02:04:39.6662710Z ''')
2022-11-23T02:04:39.6662729Z 
2022-11-23T02:04:39.6662748Z 
2022-11-23T02:04:39.6662886Z async_compile.wait(globals())
2022-11-23T02:04:39.6662975Z del async_compile
2022-11-23T02:04:39.6662994Z 
2022-11-23T02:04:39.6663109Z def call(args):
2022-11-23T02:04:39.6663221Z     arg0_1, = args
2022-11-23T02:04:39.6663333Z     args.clear()
2022-11-23T02:04:39.6663673Z     buf0 = empty_strided((2, 24, 4, 4, 14, 14), (75264, 3136, 784, 196, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6663871Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.6663977Z     del arg0_1
2022-11-23T02:04:39.6664112Z     return (as_strided(buf0, (2, 384, 196), (75264, 196, 1)), )
2022-11-23T02:04:39.6664215Z 
2022-11-23T02:04:39.6664261Z 
2022-11-23T02:04:39.6664361Z if __name__ == "__main__":
2022-11-23T02:04:39.6664530Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6664708Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6665024Z     arg0_1 = rand_strided((2, 24, 56, 56), (75264, 3136, 56, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6665182Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.6665201Z 
2022-11-23T02:04:39.6665312Z ok (2.852s)
2022-11-23T02:04:39.6665721Z   test_slice1_cpu (__main__.CpuTests) ... [2022-11-23 01:59:11,528] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6666157Z [2022-11-23 01:59:11,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6666436Z [2022-11-23 01:59:11,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6666785Z [2022-11-23 01:59:11,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6667167Z [2022-11-23 01:59:11,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6667598Z [2022-11-23 01:59:11,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6668065Z [2022-11-23 01:59:11,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6668496Z [2022-11-23 01:59:11,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6669008Z [2022-11-23 01:59:11,530] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa6411339f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1673> 
2022-11-23T02:04:39.6669150Z  1675           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6669293Z                2 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6669404Z                4 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6669543Z                6 BUILD_SLICE              2
2022-11-23T02:04:39.6669678Z                8 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6669817Z               10 LOAD_CONST               1 (10)
2022-11-23T02:04:39.6669951Z               12 BUILD_SLICE              2
2022-11-23T02:04:39.6670089Z               14 LOAD_CONST               2 (0)
2022-11-23T02:04:39.6670223Z               16 BUILD_TUPLE              3
2022-11-23T02:04:39.6670407Z               18 BINARY_SUBSCR
2022-11-23T02:04:39.6670543Z               20 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6670681Z               22 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6670819Z               24 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6670951Z               26 BUILD_SLICE              2
2022-11-23T02:04:39.6671091Z               28 LOAD_CONST               1 (10)
2022-11-23T02:04:39.6671225Z               30 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6671357Z               32 BUILD_SLICE              2
2022-11-23T02:04:39.6671470Z               34 LOAD_CONST               2 (0)
2022-11-23T02:04:39.6671601Z               36 BUILD_TUPLE              3
2022-11-23T02:04:39.6671724Z               38 BINARY_SUBSCR
2022-11-23T02:04:39.6671837Z               40 BINARY_ADD
2022-11-23T02:04:39.6671857Z 
2022-11-23T02:04:39.6671990Z 1676          42 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6672128Z               44 LOAD_CONST               3 (1)
2022-11-23T02:04:39.6672241Z               46 BINARY_ADD
2022-11-23T02:04:39.6672354Z               48 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6672492Z               50 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6672716Z               52 BUILD_SLICE              2
2022-11-23T02:04:39.6672859Z               54 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6672992Z               56 LOAD_CONST               1 (10)
2022-11-23T02:04:39.6673125Z               58 BUILD_SLICE              2
2022-11-23T02:04:39.6673258Z               60 LOAD_CONST               2 (0)
2022-11-23T02:04:39.6673367Z               62 BUILD_TUPLE              3
2022-11-23T02:04:39.6673492Z               64 BINARY_SUBSCR
2022-11-23T02:04:39.6673624Z               66 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6673761Z               68 LOAD_CONST               3 (1)
2022-11-23T02:04:39.6673873Z               70 BINARY_ADD
2022-11-23T02:04:39.6674007Z               72 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6674147Z               74 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6674253Z               76 BUILD_SLICE              2
2022-11-23T02:04:39.6674391Z               78 LOAD_CONST               1 (10)
2022-11-23T02:04:39.6674528Z               80 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6674660Z               82 BUILD_SLICE              2
2022-11-23T02:04:39.6674791Z               84 LOAD_CONST               2 (0)
2022-11-23T02:04:39.6674924Z               86 BUILD_TUPLE              3
2022-11-23T02:04:39.6675044Z               88 BINARY_SUBSCR
2022-11-23T02:04:39.6675133Z               90 BINARY_ADD
2022-11-23T02:04:39.6675175Z 
2022-11-23T02:04:39.6675283Z 1674          92 BUILD_TUPLE              2
2022-11-23T02:04:39.6675403Z               94 RETURN_VALUE
2022-11-23T02:04:39.6675502Z  
2022-11-23T02:04:39.6675520Z 
2022-11-23T02:04:39.6675968Z [2022-11-23 01:59:11,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1675
2022-11-23T02:04:39.6676268Z [2022-11-23 01:59:11,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.6676607Z [2022-11-23 01:59:11,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T02:04:39.6677009Z [2022-11-23 01:59:11,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6677461Z [2022-11-23 01:59:11,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6677807Z [2022-11-23 01:59:11,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable()]
2022-11-23T02:04:39.6678226Z [2022-11-23 01:59:11,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6678759Z [2022-11-23 01:59:11,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T02:04:39.6679154Z [2022-11-23 01:59:11,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T02:04:39.6679595Z [2022-11-23 01:59:11,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6679968Z [2022-11-23 01:59:11,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.6680293Z [2022-11-23 01:59:11,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:39.6680657Z [2022-11-23 01:59:11,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6681091Z [2022-11-23 01:59:11,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6681621Z [2022-11-23 01:59:11,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6682025Z [2022-11-23 01:59:11,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T02:04:39.6682446Z [2022-11-23 01:59:11,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6682948Z [2022-11-23 01:59:11,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6683388Z [2022-11-23 01:59:11,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T02:04:39.6683875Z [2022-11-23 01:59:11,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6684286Z [2022-11-23 01:59:11,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.6684658Z [2022-11-23 01:59:11,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6685085Z [2022-11-23 01:59:11,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1676
2022-11-23T02:04:39.6685408Z [2022-11-23 01:59:11,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:39.6685763Z [2022-11-23 01:59:11,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6686251Z [2022-11-23 01:59:11,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6686628Z [2022-11-23 01:59:11,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6687036Z [2022-11-23 01:59:11,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6687525Z [2022-11-23 01:59:11,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6687927Z [2022-11-23 01:59:11,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T02:04:39.6688389Z [2022-11-23 01:59:11,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6688987Z [2022-11-23 01:59:11,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T02:04:39.6689418Z [2022-11-23 01:59:11,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T02:04:39.6689892Z [2022-11-23 01:59:11,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6690310Z [2022-11-23 01:59:11,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.6690677Z [2022-11-23 01:59:11,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6691083Z [2022-11-23 01:59:11,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6691586Z [2022-11-23 01:59:11,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6691996Z [2022-11-23 01:59:11,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6692432Z [2022-11-23 01:59:11,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6692951Z [2022-11-23 01:59:11,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6693385Z [2022-11-23 01:59:11,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T02:04:39.6693871Z [2022-11-23 01:59:11,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6694408Z [2022-11-23 01:59:11,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6694878Z [2022-11-23 01:59:11,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T02:04:39.6695395Z [2022-11-23 01:59:11,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6695846Z [2022-11-23 01:59:11,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.6696998Z [2022-11-23 01:59:11,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6697802Z [2022-11-23 01:59:11,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1674
2022-11-23T02:04:39.6698387Z [2022-11-23 01:59:11,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6698735Z [2022-11-23 01:59:11,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6699220Z [2022-11-23 01:59:11,555] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa6411339f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1673>
2022-11-23T02:04:39.6699734Z [2022-11-23 01:59:11,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6700068Z [2022-11-23 01:59:11,555] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6700422Z [2022-11-23 01:59:11,558] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6700768Z [2022-11-23 01:59:11,572] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6701029Z [2022-11-23 01:59:11,572] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6701225Z  __compiled_fn_298 <eval_with_key>.2265 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6701364Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6701723Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(None, 10, None), 0)), {}
2022-11-23T02:04:39.6702058Z call_function, getitem_1, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(10, None, None), 0)), {}
2022-11-23T02:04:39.6702334Z call_function, add, <built-in function add>, (getitem, getitem_1), {}
2022-11-23T02:04:39.6702654Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.6703024Z call_function, getitem_2, <built-in function getitem>, (add_1, (slice(None, None, None), slice(None, 10, None), 0)), {}
2022-11-23T02:04:39.6703265Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.6703621Z call_function, getitem_3, <built-in function getitem>, (add_2, (slice(None, None, None), slice(10, None, None), 0)), {}
2022-11-23T02:04:39.6703893Z call_function, add_3, <built-in function add>, (getitem_2, getitem_3), {}
2022-11-23T02:04:39.6704043Z output, output, output, ((add, add_3),), {}
2022-11-23T02:04:39.6704070Z 
2022-11-23T02:04:39.6704517Z [2022-11-23 01:59:11,573] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6704703Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6704843Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6704984Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6705125Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6705257Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6705390Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6705505Z              12 RETURN_VALUE
2022-11-23T02:04:39.6705529Z 
2022-11-23T02:04:39.6705604Z  
2022-11-23T02:04:39.6706044Z [2022-11-23 01:59:11,573] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6706269Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_298)
2022-11-23T02:04:39.6706408Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6706548Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6706667Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6706799Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.6706960Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.6707087Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6707222Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6707341Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.6707489Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6707623Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6707738Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.6707875Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.6707969Z              26 RETURN_VALUE
2022-11-23T02:04:39.6707989Z 
2022-11-23T02:04:39.6708090Z  
2022-11-23T02:04:39.6708350Z [2022-11-23 01:59:11,575] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6708532Z  - 
2022-11-23T02:04:39.6708712Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6708816Z             {
2022-11-23T02:04:39.6709017Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6709261Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.6709437Z                 'obj_weakref': None
2022-11-23T02:04:39.6709752Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6709857Z             }
2022-11-23T02:04:39.6709957Z             
2022-11-23T02:04:39.6710070Z  - 
2022-11-23T02:04:39.6710251Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6710329Z             {
2022-11-23T02:04:39.6710534Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6710694Z                 'code': None,
2022-11-23T02:04:39.6710982Z                 'obj_weakref': <weakref at 0x7fa550082a20; to 'Tensor' at 0x7fa531f7e110>
2022-11-23T02:04:39.6711331Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6711432Z             }
2022-11-23T02:04:39.6711532Z             
2022-11-23T02:04:39.6711620Z  - 
2022-11-23T02:04:39.6711859Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6711966Z             {
2022-11-23T02:04:39.6712164Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6712398Z                 'code': ['___check_obj_id(model, 140347992365456)'],
2022-11-23T02:04:39.6712569Z                 'obj_weakref': None
2022-11-23T02:04:39.6712882Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6712959Z             }
2022-11-23T02:04:39.6713058Z             
2022-11-23T02:04:39.6713167Z  - 
2022-11-23T02:04:39.6713342Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6713441Z             {
2022-11-23T02:04:39.6713635Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6713934Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6714081Z                 'obj_weakref': None
2022-11-23T02:04:39.6714387Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6714490Z             }
2022-11-23T02:04:39.6714588Z             
2022-11-23T02:04:39.6714948Z [2022-11-23 01:59:11,603] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 291
2022-11-23T02:04:39.6715440Z [2022-11-23 01:59:14,215] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6f/c6fidijtkrn74ekqhb67uvvllhedvftcpjc27gci7h5zfcc5wley.py
2022-11-23T02:04:39.6715799Z [2022-11-23 01:59:14,215] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 291
2022-11-23T02:04:39.6715819Z 
2022-11-23T02:04:39.6715959Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6716050Z import torch
2022-11-23T02:04:39.6716161Z import random
2022-11-23T02:04:39.6716325Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6716504Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6716524Z 
2022-11-23T02:04:39.6716650Z aten = torch.ops.aten
2022-11-23T02:04:39.6716843Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6716982Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6717001Z 
2022-11-23T02:04:39.6717020Z 
2022-11-23T02:04:39.6717216Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6717475Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6717651Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6717798Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.6717942Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.6718039Z {
2022-11-23T02:04:39.6718253Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6718352Z     {
2022-11-23T02:04:39.6718466Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.6718590Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.6718696Z         {
2022-11-23T02:04:39.6718829Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:39.6718932Z             {
2022-11-23T02:04:39.6719034Z                 {
2022-11-23T02:04:39.6719144Z                     {
2022-11-23T02:04:39.6719277Z                         auto tmp0 = in_ptr0[(2*i1) + (40*i0)];
2022-11-23T02:04:39.6719431Z                         auto tmp1 = in_ptr0[20 + (2*i1) + (40*i0)];
2022-11-23T02:04:39.6719574Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.6719731Z                         auto tmp3 = static_cast<float>(1);
2022-11-23T02:04:39.6719871Z                         auto tmp4 = tmp0 + tmp3;
2022-11-23T02:04:39.6720015Z                         auto tmp5 = tmp1 + tmp3;
2022-11-23T02:04:39.6720157Z                         auto tmp6 = tmp4 + tmp5;
2022-11-23T02:04:39.6720280Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:39.6720422Z                         out_ptr1[i1 + (10*i0)] = tmp6;
2022-11-23T02:04:39.6720525Z                     }
2022-11-23T02:04:39.6720631Z                 }
2022-11-23T02:04:39.6720780Z             }
2022-11-23T02:04:39.6720886Z         }
2022-11-23T02:04:39.6720988Z     }
2022-11-23T02:04:39.6721060Z }
2022-11-23T02:04:39.6721194Z ''')
2022-11-23T02:04:39.6721214Z 
2022-11-23T02:04:39.6721232Z 
2022-11-23T02:04:39.6721368Z async_compile.wait(globals())
2022-11-23T02:04:39.6721479Z del async_compile
2022-11-23T02:04:39.6721499Z 
2022-11-23T02:04:39.6721609Z def call(args):
2022-11-23T02:04:39.6721722Z     arg0_1, = args
2022-11-23T02:04:39.6721839Z     args.clear()
2022-11-23T02:04:39.6722096Z     buf0 = empty_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6722378Z     buf1 = empty_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6722616Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.6722727Z     del arg0_1
2022-11-23T02:04:39.6722847Z     return (buf0, buf1, )
2022-11-23T02:04:39.6722867Z 
2022-11-23T02:04:39.6722886Z 
2022-11-23T02:04:39.6723006Z if __name__ == "__main__":
2022-11-23T02:04:39.6723175Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6723357Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6723622Z     arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6723784Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.6723803Z 
2022-11-23T02:04:39.6723909Z ok (2.693s)
2022-11-23T02:04:39.6724330Z   test_slice2_cpu (__main__.CpuTests) ... [2022-11-23 01:59:14,222] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6724758Z [2022-11-23 01:59:14,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6725068Z [2022-11-23 01:59:14,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6725419Z [2022-11-23 01:59:14,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6725799Z [2022-11-23 01:59:14,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6726235Z [2022-11-23 01:59:14,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6726703Z [2022-11-23 01:59:14,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6727117Z [2022-11-23 01:59:14,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6727705Z [2022-11-23 01:59:14,223] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641133c00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1685> 
2022-11-23T02:04:39.6727855Z  1687           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6727996Z                2 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6728191Z                4 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.6728327Z                6 BUILD_SLICE              2
2022-11-23T02:04:39.6728464Z                8 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6728597Z               10 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6728707Z               12 LOAD_CONST               2 (2)
2022-11-23T02:04:39.6728839Z               14 BUILD_SLICE              3
2022-11-23T02:04:39.6729037Z               16 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.6729170Z               18 BUILD_TUPLE              3
2022-11-23T02:04:39.6729289Z               20 BINARY_SUBSCR
2022-11-23T02:04:39.6729423Z               22 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6729618Z               24 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.6729781Z               26 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6729977Z               28 BUILD_SLICE              2
2022-11-23T02:04:39.6730167Z               30 LOAD_CONST               3 (1)
2022-11-23T02:04:39.6730306Z               32 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6730438Z               34 LOAD_CONST               2 (2)
2022-11-23T02:04:39.6730570Z               36 BUILD_SLICE              3
2022-11-23T02:04:39.6730765Z               38 LOAD_CONST               4 (-2)
2022-11-23T02:04:39.6730876Z               40 BUILD_TUPLE              3
2022-11-23T02:04:39.6730995Z               42 BINARY_SUBSCR
2022-11-23T02:04:39.6731117Z               44 BINARY_ADD
2022-11-23T02:04:39.6731138Z 
2022-11-23T02:04:39.6731272Z 1688          46 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6731412Z               48 LOAD_CONST               3 (1)
2022-11-23T02:04:39.6731524Z               50 BINARY_ADD
2022-11-23T02:04:39.6731663Z               52 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6731865Z               54 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.6731975Z               56 BUILD_SLICE              2
2022-11-23T02:04:39.6732107Z               58 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6732234Z               60 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6732365Z               62 LOAD_CONST               2 (2)
2022-11-23T02:04:39.6732493Z               64 BUILD_SLICE              3
2022-11-23T02:04:39.6732696Z               66 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.6732825Z               68 BUILD_TUPLE              3
2022-11-23T02:04:39.6732922Z               70 BINARY_SUBSCR
2022-11-23T02:04:39.6733057Z               72 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6733192Z               74 LOAD_CONST               2 (2)
2022-11-23T02:04:39.6733301Z               76 BINARY_ADD
2022-11-23T02:04:39.6733502Z               78 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.6733638Z               80 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6733774Z               82 BUILD_SLICE              2
2022-11-23T02:04:39.6733886Z               84 LOAD_CONST               3 (1)
2022-11-23T02:04:39.6734022Z               86 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6734152Z               88 LOAD_CONST               2 (2)
2022-11-23T02:04:39.6734279Z               90 BUILD_SLICE              3
2022-11-23T02:04:39.6734482Z               92 LOAD_CONST               4 (-2)
2022-11-23T02:04:39.6734611Z               94 BUILD_TUPLE              3
2022-11-23T02:04:39.6734729Z               96 BINARY_SUBSCR
2022-11-23T02:04:39.6734821Z               98 BINARY_ADD
2022-11-23T02:04:39.6734840Z 
2022-11-23T02:04:39.6734977Z 1686         100 BUILD_TUPLE              2
2022-11-23T02:04:39.6735184Z              102 RETURN_VALUE
2022-11-23T02:04:39.6735286Z  
2022-11-23T02:04:39.6735305Z 
2022-11-23T02:04:39.6735746Z [2022-11-23 01:59:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1687
2022-11-23T02:04:39.6736581Z [2022-11-23 01:59:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.6737195Z [2022-11-23 01:59:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T02:04:39.6737894Z [2022-11-23 01:59:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6738493Z [2022-11-23 01:59:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T02:04:39.6738842Z [2022-11-23 01:59:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable()]
2022-11-23T02:04:39.6739271Z [2022-11-23 01:59:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6739910Z [2022-11-23 01:59:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6740452Z [2022-11-23 01:59:14,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T02:04:39.6740853Z [2022-11-23 01:59:14,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T02:04:39.6741298Z [2022-11-23 01:59:14,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6741681Z [2022-11-23 01:59:14,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.6742005Z [2022-11-23 01:59:14,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:39.6742371Z [2022-11-23 01:59:14,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6742784Z [2022-11-23 01:59:14,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6743253Z [2022-11-23 01:59:14,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6743623Z [2022-11-23 01:59:14,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T02:04:39.6744073Z [2022-11-23 01:59:14,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6744580Z [2022-11-23 01:59:14,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6745128Z [2022-11-23 01:59:14,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T02:04:39.6745558Z [2022-11-23 01:59:14,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T02:04:39.6746031Z [2022-11-23 01:59:14,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6746540Z [2022-11-23 01:59:14,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.6746907Z [2022-11-23 01:59:14,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6747334Z [2022-11-23 01:59:14,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1688
2022-11-23T02:04:39.6747661Z [2022-11-23 01:59:14,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:39.6748024Z [2022-11-23 01:59:14,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6748415Z [2022-11-23 01:59:14,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6748782Z [2022-11-23 01:59:14,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6749214Z [2022-11-23 01:59:14,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6749729Z [2022-11-23 01:59:14,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T02:04:39.6750138Z [2022-11-23 01:59:14,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T02:04:39.6750595Z [2022-11-23 01:59:14,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6751101Z [2022-11-23 01:59:14,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6751670Z [2022-11-23 01:59:14,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T02:04:39.6752102Z [2022-11-23 01:59:14,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T02:04:39.6752576Z [2022-11-23 01:59:14,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6752992Z [2022-11-23 01:59:14,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.6753359Z [2022-11-23 01:59:14,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6753735Z [2022-11-23 01:59:14,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6754194Z [2022-11-23 01:59:14,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6754593Z [2022-11-23 01:59:14,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6755040Z [2022-11-23 01:59:14,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6755544Z [2022-11-23 01:59:14,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6755973Z [2022-11-23 01:59:14,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T02:04:39.6756523Z [2022-11-23 01:59:14,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6757079Z [2022-11-23 01:59:14,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6757681Z [2022-11-23 01:59:14,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T02:04:39.6758158Z [2022-11-23 01:59:14,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T02:04:39.6758679Z [2022-11-23 01:59:14,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6759219Z [2022-11-23 01:59:14,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.6759631Z [2022-11-23 01:59:14,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6760034Z [2022-11-23 01:59:14,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1686
2022-11-23T02:04:39.6760409Z [2022-11-23 01:59:14,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6760756Z [2022-11-23 01:59:14,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6761272Z [2022-11-23 01:59:14,249] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641133c00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1685>
2022-11-23T02:04:39.6761617Z [2022-11-23 01:59:14,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6761944Z [2022-11-23 01:59:14,249] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6762299Z [2022-11-23 01:59:14,251] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6762655Z [2022-11-23 01:59:14,265] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6762923Z [2022-11-23 01:59:14,266] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6763121Z  __compiled_fn_299 <eval_with_key>.2271 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6763233Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6763598Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, -1, None), slice(None, None, 2), -1)), {}
2022-11-23T02:04:39.6763956Z call_function, getitem_1, <built-in function getitem>, (ex_0_, (slice(-1, None, None), slice(1, None, 2), -2)), {}
2022-11-23T02:04:39.6764227Z call_function, add, <built-in function add>, (getitem, getitem_1), {}
2022-11-23T02:04:39.6764474Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.6764837Z call_function, getitem_2, <built-in function getitem>, (add_1, (slice(None, -1, None), slice(None, None, 2), -1)), {}
2022-11-23T02:04:39.6765087Z call_function, add_2, <built-in function add>, (ex_0_, 2), {}
2022-11-23T02:04:39.6765431Z call_function, getitem_3, <built-in function getitem>, (add_2, (slice(-1, None, None), slice(1, None, 2), -2)), {}
2022-11-23T02:04:39.6765683Z call_function, add_3, <built-in function add>, (getitem_2, getitem_3), {}
2022-11-23T02:04:39.6765835Z output, output, output, ((add, add_3),), {}
2022-11-23T02:04:39.6765955Z 
2022-11-23T02:04:39.6766411Z [2022-11-23 01:59:14,267] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6766555Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6766692Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6766825Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6766970Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6767102Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6767214Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6767332Z              12 RETURN_VALUE
2022-11-23T02:04:39.6767351Z 
2022-11-23T02:04:39.6767452Z  
2022-11-23T02:04:39.6767895Z [2022-11-23 01:59:14,267] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6768066Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_299)
2022-11-23T02:04:39.6768206Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6768346Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6768465Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6768635Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.6768795Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.6768947Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6769086Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6769210Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.6769359Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6769491Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6769585Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.6769719Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.6769840Z              26 RETURN_VALUE
2022-11-23T02:04:39.6769865Z 
2022-11-23T02:04:39.6769958Z  
2022-11-23T02:04:39.6770223Z [2022-11-23 01:59:14,268] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6770335Z  - 
2022-11-23T02:04:39.6770511Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6770593Z             {
2022-11-23T02:04:39.6770795Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6771055Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.6771227Z                 'obj_weakref': None
2022-11-23T02:04:39.6771540Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6771644Z             }
2022-11-23T02:04:39.6771745Z             
2022-11-23T02:04:39.6771831Z  - 
2022-11-23T02:04:39.6772011Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6772116Z             {
2022-11-23T02:04:39.6772321Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6772484Z                 'code': None,
2022-11-23T02:04:39.6772780Z                 'obj_weakref': <weakref at 0x7fa53c35a610; to 'Tensor' at 0x7fa5501b4d10>
2022-11-23T02:04:39.6773128Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6773211Z             }
2022-11-23T02:04:39.6773312Z             
2022-11-23T02:04:39.6773422Z  - 
2022-11-23T02:04:39.6773608Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6773708Z             {
2022-11-23T02:04:39.6773905Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6774144Z                 'code': ['___check_obj_id(model, 140347117821744)'],
2022-11-23T02:04:39.6774295Z                 'obj_weakref': None
2022-11-23T02:04:39.6774612Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6774717Z             }
2022-11-23T02:04:39.6774818Z             
2022-11-23T02:04:39.6774926Z  - 
2022-11-23T02:04:39.6775188Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6775288Z             {
2022-11-23T02:04:39.6775462Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6775759Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6775939Z                 'obj_weakref': None
2022-11-23T02:04:39.6776928Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6777088Z             }
2022-11-23T02:04:39.6777242Z             
2022-11-23T02:04:39.6777882Z [2022-11-23 01:59:14,296] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 292
2022-11-23T02:04:39.6778589Z [2022-11-23 01:59:16,888] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vh/cvh4sgld3ghpigsgw3egbzi5rtcih66korfdter2cmmz7dpmb5iy.py
2022-11-23T02:04:39.6778936Z [2022-11-23 01:59:16,888] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 292
2022-11-23T02:04:39.6778962Z 
2022-11-23T02:04:39.6779108Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6779223Z import torch
2022-11-23T02:04:39.6779333Z import random
2022-11-23T02:04:39.6779503Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6779837Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6779858Z 
2022-11-23T02:04:39.6779987Z aten = torch.ops.aten
2022-11-23T02:04:39.6780157Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6780300Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6780319Z 
2022-11-23T02:04:39.6780338Z 
2022-11-23T02:04:39.6780536Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6780823Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6780996Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6781153Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.6781303Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.6781403Z {
2022-11-23T02:04:39.6781526Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6781626Z     {
2022-11-23T02:04:39.6781747Z         #pragma omp for 
2022-11-23T02:04:39.6781872Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:39.6781973Z         {
2022-11-23T02:04:39.6782078Z             {
2022-11-23T02:04:39.6782181Z                 {
2022-11-23T02:04:39.6782303Z                     auto tmp0 = in_ptr0[1 + (4*i0)];
2022-11-23T02:04:39.6782446Z                     auto tmp1 = in_ptr0[42 + (4*i0)];
2022-11-23T02:04:39.6782590Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.6782746Z                     auto tmp3 = static_cast<float>(1);
2022-11-23T02:04:39.6782883Z                     auto tmp4 = tmp0 + tmp3;
2022-11-23T02:04:39.6783095Z                     auto tmp5 = static_cast<float>(2);
2022-11-23T02:04:39.6783235Z                     auto tmp6 = tmp1 + tmp5;
2022-11-23T02:04:39.6783351Z                     auto tmp7 = tmp4 + tmp6;
2022-11-23T02:04:39.6783481Z                     out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.6783609Z                     out_ptr1[i0] = tmp7;
2022-11-23T02:04:39.6783710Z                 }
2022-11-23T02:04:39.6783805Z             }
2022-11-23T02:04:39.6783906Z         }
2022-11-23T02:04:39.6784005Z     }
2022-11-23T02:04:39.6784079Z }
2022-11-23T02:04:39.6784209Z ''')
2022-11-23T02:04:39.6784229Z 
2022-11-23T02:04:39.6784247Z 
2022-11-23T02:04:39.6784386Z async_compile.wait(globals())
2022-11-23T02:04:39.6784502Z del async_compile
2022-11-23T02:04:39.6784521Z 
2022-11-23T02:04:39.6784631Z def call(args):
2022-11-23T02:04:39.6784745Z     arg0_1, = args
2022-11-23T02:04:39.6784860Z     args.clear()
2022-11-23T02:04:39.6785114Z     buf0 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6785390Z     buf1 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6785618Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.6785822Z     del arg0_1
2022-11-23T02:04:39.6785941Z     return (buf0, buf1, )
2022-11-23T02:04:39.6785960Z 
2022-11-23T02:04:39.6785981Z 
2022-11-23T02:04:39.6786099Z if __name__ == "__main__":
2022-11-23T02:04:39.6786325Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6786510Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6786774Z     arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6786939Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.6786959Z 
2022-11-23T02:04:39.6787065Z ok (2.673s)
2022-11-23T02:04:39.6787496Z   test_slice_mutation1_cpu (__main__.CpuTests) ... [2022-11-23 01:59:16,895] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6787925Z [2022-11-23 01:59:16,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6788237Z [2022-11-23 01:59:16,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6788641Z [2022-11-23 01:59:16,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6789030Z [2022-11-23 01:59:16,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6789465Z [2022-11-23 01:59:16,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6789907Z [2022-11-23 01:59:16,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6790353Z [2022-11-23 01:59:16,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6790863Z [2022-11-23 01:59:16,896] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f8a4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3290> 
2022-11-23T02:04:39.6791013Z  3291           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.6791164Z                2 LOAD_METHOD              1 (zeros_like)
2022-11-23T02:04:39.6791307Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6791445Z                6 CALL_METHOD              1
2022-11-23T02:04:39.6791584Z                8 STORE_FAST               1 (x)
2022-11-23T02:04:39.6791603Z 
2022-11-23T02:04:39.6791736Z 3292          10 LOAD_FAST                1 (x)
2022-11-23T02:04:39.6791847Z               12 LOAD_CONST               1 (1)
2022-11-23T02:04:39.6791964Z               14 BINARY_ADD
2022-11-23T02:04:39.6792101Z               16 STORE_FAST               2 (b)
2022-11-23T02:04:39.6792119Z 
2022-11-23T02:04:39.6792259Z 3293          18 LOAD_CONST               2 (3.0)
2022-11-23T02:04:39.6792401Z               20 LOAD_FAST                1 (x)
2022-11-23T02:04:39.6792539Z               22 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6792673Z               24 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6792806Z               26 BUILD_SLICE              2
2022-11-23T02:04:39.6792917Z               28 LOAD_CONST               3 (3)
2022-11-23T02:04:39.6793053Z               30 BUILD_TUPLE              2
2022-11-23T02:04:39.6793171Z               32 STORE_SUBSCR
2022-11-23T02:04:39.6793190Z 
2022-11-23T02:04:39.6793333Z 3294          34 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.6793477Z               36 LOAD_METHOD              2 (clone)
2022-11-23T02:04:39.6793609Z               38 LOAD_FAST                1 (x)
2022-11-23T02:04:39.6793741Z               40 CALL_METHOD              1
2022-11-23T02:04:39.6793851Z               42 STORE_FAST               3 (c)
2022-11-23T02:04:39.6793869Z 
2022-11-23T02:04:39.6794150Z 3295          44 LOAD_CONST               4 (4.0)
2022-11-23T02:04:39.6794287Z               46 LOAD_FAST                1 (x)
2022-11-23T02:04:39.6794423Z               48 LOAD_CONST               5 (4)
2022-11-23T02:04:39.6794562Z               50 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6794705Z               52 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6794838Z               54 BUILD_SLICE              2
2022-11-23T02:04:39.6794971Z               56 BUILD_TUPLE              2
2022-11-23T02:04:39.6795064Z               58 STORE_SUBSCR
2022-11-23T02:04:39.6795084Z 
2022-11-23T02:04:39.6795216Z 3296          60 LOAD_FAST                1 (x)
2022-11-23T02:04:39.6795348Z               62 LOAD_CONST               1 (1)
2022-11-23T02:04:39.6795462Z               64 BINARY_ADD
2022-11-23T02:04:39.6795598Z               66 STORE_FAST               4 (d)
2022-11-23T02:04:39.6795618Z 
2022-11-23T02:04:39.6795745Z 3297          68 LOAD_FAST                1 (x)
2022-11-23T02:04:39.6795881Z               70 LOAD_FAST                2 (b)
2022-11-23T02:04:39.6795988Z               72 LOAD_FAST                3 (c)
2022-11-23T02:04:39.6796119Z               74 LOAD_FAST                4 (d)
2022-11-23T02:04:39.6796253Z               76 BUILD_TUPLE              4
2022-11-23T02:04:39.6796419Z               78 RETURN_VALUE
2022-11-23T02:04:39.6796524Z  
2022-11-23T02:04:39.6796544Z 
2022-11-23T02:04:39.6796998Z [2022-11-23 01:59:16,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3291
2022-11-23T02:04:39.6797305Z [2022-11-23 01:59:16,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.6797805Z [2022-11-23 01:59:16,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.6798251Z [2022-11-23 01:59:16,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method zeros_like of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.6798719Z [2022-11-23 01:59:16,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method zeros_like of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.6799053Z [2022-11-23 01:59:16,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T02:04:39.6799480Z [2022-11-23 01:59:16,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3292
2022-11-23T02:04:39.6799771Z [2022-11-23 01:59:16,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.6800099Z [2022-11-23 01:59:16,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:39.6800478Z [2022-11-23 01:59:16,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6800799Z [2022-11-23 01:59:16,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T02:04:39.6801215Z [2022-11-23 01:59:16,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3293
2022-11-23T02:04:39.6801508Z [2022-11-23 01:59:16,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 []
2022-11-23T02:04:39.6801840Z [2022-11-23 01:59:16,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(float)]
2022-11-23T02:04:39.6802201Z [2022-11-23 01:59:16,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable()]
2022-11-23T02:04:39.6802637Z [2022-11-23 01:59:16,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6803137Z [2022-11-23 01:59:16,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6803625Z [2022-11-23 01:59:16,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [ConstantVariable(float), TensorVariable(), SliceVariable()]
2022-11-23T02:04:39.6804082Z [2022-11-23 01:59:16,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ConstantVariable(float), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6804500Z [2022-11-23 01:59:16,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [ConstantVariable(float), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.6804917Z [2022-11-23 01:59:16,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3294
2022-11-23T02:04:39.6805213Z [2022-11-23 01:59:16,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.6805700Z [2022-11-23 01:59:16,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.6806183Z [2022-11-23 01:59:16,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method clone of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.6806661Z [2022-11-23 01:59:16,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method clone of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.6806963Z [2022-11-23 01:59:16,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T02:04:39.6807379Z [2022-11-23 01:59:16,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3295
2022-11-23T02:04:39.6807667Z [2022-11-23 01:59:16,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4.0 []
2022-11-23T02:04:39.6808063Z [2022-11-23 01:59:16,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(float)]
2022-11-23T02:04:39.6808493Z [2022-11-23 01:59:16,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [ConstantVariable(float), TensorVariable()]
2022-11-23T02:04:39.6808923Z [2022-11-23 01:59:16,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6809412Z [2022-11-23 01:59:16,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6809965Z [2022-11-23 01:59:16,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6810426Z [2022-11-23 01:59:16,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(int), SliceVariable()]
2022-11-23T02:04:39.6810848Z [2022-11-23 01:59:16,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [ConstantVariable(float), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.6811270Z [2022-11-23 01:59:16,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3296
2022-11-23T02:04:39.6811539Z [2022-11-23 01:59:16,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.6811862Z [2022-11-23 01:59:16,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:39.6812240Z [2022-11-23 01:59:16,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6812560Z [2022-11-23 01:59:16,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T02:04:39.6812981Z [2022-11-23 01:59:16,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3297
2022-11-23T02:04:39.6813344Z [2022-11-23 01:59:16,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.6813673Z [2022-11-23 01:59:16,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:39.6814030Z [2022-11-23 01:59:16,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6814423Z [2022-11-23 01:59:16,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6814860Z [2022-11-23 01:59:16,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6815178Z [2022-11-23 01:59:16,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6815688Z [2022-11-23 01:59:16,910] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f8a4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3290>
2022-11-23T02:04:39.6816771Z [2022-11-23 01:59:16,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6817419Z [2022-11-23 01:59:16,911] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6818032Z [2022-11-23 01:59:16,913] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6818488Z [2022-11-23 01:59:16,924] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6818752Z [2022-11-23 01:59:16,925] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6818945Z  __compiled_fn_300 <eval_with_key>.2277 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6819085Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6819398Z call_function, zeros_like, <built-in method zeros_like of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.6819649Z call_function, add, <built-in function add>, (zeros_like, 1), {}
2022-11-23T02:04:39.6819986Z call_function, setitem, <built-in function setitem>, (zeros_like, (slice(None, None, None), 3), 3.0), {}
2022-11-23T02:04:39.6820306Z call_function, clone, <built-in method clone of type object at 0x7fa5855aec60>, (zeros_like,), {}
2022-11-23T02:04:39.6820636Z call_function, setitem_1, <built-in function setitem>, (zeros_like, (4, slice(None, None, None)), 4.0), {}
2022-11-23T02:04:39.6820886Z call_function, add_1, <built-in function add>, (zeros_like, 1), {}
2022-11-23T02:04:39.6821063Z output, output, output, ((zeros_like, add, clone, add_1),), {}
2022-11-23T02:04:39.6821090Z 
2022-11-23T02:04:39.6821531Z [2022-11-23 01:59:16,926] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6821675Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6821789Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6821916Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6822061Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6822188Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6822317Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6822436Z              12 RETURN_VALUE
2022-11-23T02:04:39.6822458Z 
2022-11-23T02:04:39.6822547Z  
2022-11-23T02:04:39.6822959Z [2022-11-23 01:59:16,926] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6823114Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_300)
2022-11-23T02:04:39.6823246Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6823378Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6823676Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6823803Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.6823953Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.6824084Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6824216Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6824332Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.6824481Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6824615Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6824733Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.6824881Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6825015Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.6825111Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.6825265Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6825402Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:39.6825520Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.6825652Z              36 BUILD_TUPLE              4
2022-11-23T02:04:39.6825773Z              38 RETURN_VALUE
2022-11-23T02:04:39.6825793Z 
2022-11-23T02:04:39.6825892Z  
2022-11-23T02:04:39.6826185Z [2022-11-23 01:59:16,927] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6826305Z  - 
2022-11-23T02:04:39.6826481Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6826583Z             {
2022-11-23T02:04:39.6826783Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6827043Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.6827218Z                 'obj_weakref': None
2022-11-23T02:04:39.6827503Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6827606Z             }
2022-11-23T02:04:39.6827706Z             
2022-11-23T02:04:39.6827818Z  - 
2022-11-23T02:04:39.6827996Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6828101Z             {
2022-11-23T02:04:39.6828308Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6828443Z                 'code': None,
2022-11-23T02:04:39.6828736Z                 'obj_weakref': <weakref at 0x7fa55009be70; to 'Tensor' at 0x7fa531f7e110>
2022-11-23T02:04:39.6829084Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6829184Z             }
2022-11-23T02:04:39.6829284Z             
2022-11-23T02:04:39.6829395Z  - 
2022-11-23T02:04:39.6829583Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6829661Z             {
2022-11-23T02:04:39.6829859Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6830095Z                 'code': ['___check_obj_id(model, 140347117821744)'],
2022-11-23T02:04:39.6830270Z                 'obj_weakref': None
2022-11-23T02:04:39.6830585Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6830693Z             }
2022-11-23T02:04:39.6830794Z             
2022-11-23T02:04:39.6830881Z  - 
2022-11-23T02:04:39.6831061Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6831170Z             {
2022-11-23T02:04:39.6831368Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6831664Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6831838Z                 'obj_weakref': None
2022-11-23T02:04:39.6832147Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6832224Z             }
2022-11-23T02:04:39.6832324Z             
2022-11-23T02:04:39.6832431Z  - 
2022-11-23T02:04:39.6832624Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.6832727Z             {
2022-11-23T02:04:39.6832898Z                 'guard_types': None,
2022-11-23T02:04:39.6833129Z                 'code': None,
2022-11-23T02:04:39.6833274Z                 'obj_weakref': None
2022-11-23T02:04:39.6833449Z                 'guarded_class': None
2022-11-23T02:04:39.6833550Z             }
2022-11-23T02:04:39.6833654Z             
2022-11-23T02:04:39.6834016Z [2022-11-23 01:59:16,950] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 293
2022-11-23T02:04:39.6834504Z [2022-11-23 01:59:19,656] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mr/cmry6v6hsh2itsliayc5royk55uubwkkj6653vnvlwycshcxzp4w.py
2022-11-23T02:04:39.6834866Z [2022-11-23 01:59:19,656] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 293
2022-11-23T02:04:39.6834886Z 
2022-11-23T02:04:39.6835027Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6835112Z import torch
2022-11-23T02:04:39.6835227Z import random
2022-11-23T02:04:39.6835393Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6835570Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6835591Z 
2022-11-23T02:04:39.6835710Z aten = torch.ops.aten
2022-11-23T02:04:39.6835902Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6836048Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6836148Z 
2022-11-23T02:04:39.6836168Z 
2022-11-23T02:04:39.6836349Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6836637Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6836806Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T02:04:39.6836950Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.6837092Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:39.6837235Z                        float* __restrict__ out_ptr3)
2022-11-23T02:04:39.6837333Z {
2022-11-23T02:04:39.6837480Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6837555Z     {
2022-11-23T02:04:39.6837678Z         #pragma omp for 
2022-11-23T02:04:39.6837810Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.6837912Z         {
2022-11-23T02:04:39.6838142Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T02:04:39.6838335Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.6838465Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.6838579Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.6838715Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.6838817Z         }
2022-11-23T02:04:39.6838964Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.6839092Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.6839195Z         {
2022-11-23T02:04:39.6839344Z             auto tmp0 = static_cast<float>(0);
2022-11-23T02:04:39.6839469Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.6839597Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.6839721Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.6839846Z             out_ptr1[i0] = tmp2;
2022-11-23T02:04:39.6839951Z         }
2022-11-23T02:04:39.6840069Z         #pragma omp for 
2022-11-23T02:04:39.6840169Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.6840268Z         {
2022-11-23T02:04:39.6840372Z             {
2022-11-23T02:04:39.6840476Z                 {
2022-11-23T02:04:39.6840633Z                     auto tmp0 = static_cast<float>(3.0);
2022-11-23T02:04:39.6840774Z                     out_ptr0[3 + (8*i0)] = tmp0;
2022-11-23T02:04:39.6840880Z                 }
2022-11-23T02:04:39.6840959Z             }
2022-11-23T02:04:39.6841057Z         }
2022-11-23T02:04:39.6841174Z         #pragma omp for 
2022-11-23T02:04:39.6841301Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.6841400Z         {
2022-11-23T02:04:39.6841600Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2022-11-23T02:04:39.6841742Z             tmp0.store(out_ptr2 + 8*i0);
2022-11-23T02:04:39.6841894Z         }
2022-11-23T02:04:39.6842034Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.6842162Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.6842261Z         {
2022-11-23T02:04:39.6842391Z             auto tmp0 = out_ptr0[i0];
2022-11-23T02:04:39.6842517Z             out_ptr2[i0] = tmp0;
2022-11-23T02:04:39.6842618Z         }
2022-11-23T02:04:39.6842713Z         #pragma omp for 
2022-11-23T02:04:39.6842837Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:39.6842943Z         {
2022-11-23T02:04:39.6843138Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(4.0));
2022-11-23T02:04:39.6843286Z             tmp0.store(out_ptr0 + 32 + (8*i0));
2022-11-23T02:04:39.6843386Z         }
2022-11-23T02:04:39.6843528Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.6843627Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T02:04:39.6843724Z         {
2022-11-23T02:04:39.6843880Z             auto tmp0 = static_cast<float>(4.0);
2022-11-23T02:04:39.6844002Z             out_ptr0[32 + i0] = tmp0;
2022-11-23T02:04:39.6844101Z         }
2022-11-23T02:04:39.6844217Z         #pragma omp for 
2022-11-23T02:04:39.6844340Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.6844416Z         {
2022-11-23T02:04:39.6844660Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2022-11-23T02:04:39.6844858Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.6844986Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.6845117Z             tmp2.store(out_ptr3 + 8*i0);
2022-11-23T02:04:39.6845213Z         }
2022-11-23T02:04:39.6845351Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.6845454Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.6845551Z         {
2022-11-23T02:04:39.6845676Z             auto tmp0 = out_ptr0[i0];
2022-11-23T02:04:39.6845820Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.6845945Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.6846069Z             out_ptr3[i0] = tmp2;
2022-11-23T02:04:39.6846164Z         }
2022-11-23T02:04:39.6846239Z     }
2022-11-23T02:04:39.6846330Z }
2022-11-23T02:04:39.6846469Z ''')
2022-11-23T02:04:39.6846490Z 
2022-11-23T02:04:39.6846508Z 
2022-11-23T02:04:39.6846642Z async_compile.wait(globals())
2022-11-23T02:04:39.6846753Z del async_compile
2022-11-23T02:04:39.6846773Z 
2022-11-23T02:04:39.6846880Z def call(args):
2022-11-23T02:04:39.6846984Z     arg0_1, = args
2022-11-23T02:04:39.6847073Z     args.clear()
2022-11-23T02:04:39.6847348Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6847610Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6847868Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6848129Z     buf5 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6848391Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T02:04:39.6848524Z     return (buf0, buf1, buf3, buf5, )
2022-11-23T02:04:39.6848544Z 
2022-11-23T02:04:39.6848562Z 
2022-11-23T02:04:39.6848676Z if __name__ == "__main__":
2022-11-23T02:04:39.6848824Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6849003Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6849270Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6849423Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.6849442Z 
2022-11-23T02:04:39.6849568Z ok (2.768s)
2022-11-23T02:04:39.6850004Z   test_slice_mutation2_cpu (__main__.CpuTests) ... [2022-11-23 01:59:19,663] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:39.6850392Z [2022-11-23 01:59:19,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3304
2022-11-23T02:04:39.6850761Z [2022-11-23 01:59:19,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.6851095Z [2022-11-23 01:59:19,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T02:04:39.6851471Z [2022-11-23 01:59:19,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6851925Z [2022-11-23 01:59:19,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6852288Z [2022-11-23 01:59:19,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 20 [TensorVariable(), SliceVariable()]
2022-11-23T02:04:39.6852692Z [2022-11-23 01:59:19,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6853153Z [2022-11-23 01:59:19,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.6853548Z [2022-11-23 01:59:19,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T02:04:39.6853968Z [2022-11-23 01:59:19,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.6854302Z [2022-11-23 01:59:19,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:39.6854675Z [2022-11-23 01:59:19,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6854997Z [2022-11-23 01:59:19,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:39.6855337Z [2022-11-23 01:59:19,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6855764Z [2022-11-23 01:59:19,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6856815Z [2022-11-23 01:59:19,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6857558Z [2022-11-23 01:59:19,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 20 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T02:04:39.6858284Z [2022-11-23 01:59:19,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6858781Z [2022-11-23 01:59:19,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.6859210Z [2022-11-23 01:59:19,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T02:04:39.6859621Z [2022-11-23 01:59:19,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.6860050Z [2022-11-23 01:59:19,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3305
2022-11-23T02:04:39.6860334Z [2022-11-23 01:59:19,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.6860677Z [2022-11-23 01:59:19,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T02:04:39.6861047Z [2022-11-23 01:59:19,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6861487Z [2022-11-23 01:59:19,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6862044Z [2022-11-23 01:59:19,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), SliceVariable()]
2022-11-23T02:04:39.6862417Z [2022-11-23 01:59:19,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6862865Z [2022-11-23 01:59:19,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.6863260Z [2022-11-23 01:59:19,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T02:04:39.6863629Z [2022-11-23 01:59:19,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.6863953Z [2022-11-23 01:59:19,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:39.6864334Z [2022-11-23 01:59:19,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6864655Z [2022-11-23 01:59:19,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:39.6865139Z [2022-11-23 01:59:19,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6865574Z [2022-11-23 01:59:19,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6866052Z [2022-11-23 01:59:19,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6866441Z [2022-11-23 01:59:19,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T02:04:39.6866884Z [2022-11-23 01:59:19,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 11 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6867375Z [2022-11-23 01:59:19,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.6867804Z [2022-11-23 01:59:19,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T02:04:39.6868206Z [2022-11-23 01:59:19,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.6868499Z [2022-11-23 01:59:19,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None []
2022-11-23T02:04:39.6868857Z [2022-11-23 01:59:19,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(NoneType)]
2022-11-23T02:04:39.6869178Z [2022-11-23 01:59:19,677] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:39.6869487Z [2022-11-23 01:59:19,679] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.6869889Z [2022-11-23 01:59:19,691] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T02:04:39.6870246Z [2022-11-23 01:59:19,691] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T02:04:39.6870565Z [2022-11-23 01:59:19,691] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.6870823Z [2022-11-23 01:59:19,692] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6871013Z  __compiled_fn_301 <eval_with_key>.2280 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6871138Z placeholder, a, a, (), {}
2022-11-23T02:04:39.6871475Z call_function, getitem, <built-in function getitem>, (a, (slice(None, None, None), slice(20, 40, None))), {}
2022-11-23T02:04:39.6871795Z call_function, add, <built-in function add>, (getitem, 1), {}
2022-11-23T02:04:39.6872140Z call_function, setitem, <built-in function setitem>, (a, (slice(None, None, None), slice(20, 40, None)), add), {}
2022-11-23T02:04:39.6872480Z call_function, getitem_1, <built-in function getitem>, (a, (slice(None, None, None), slice(1, 10, None))), {}
2022-11-23T02:04:39.6872727Z call_function, add_1, <built-in function add>, (getitem_1, 2), {}
2022-11-23T02:04:39.6873077Z call_function, setitem_1, <built-in function setitem>, (a, (slice(None, None, None), slice(2, 11, None)), add_1), {}
2022-11-23T02:04:39.6873211Z output, output, output, ((),), {}
2022-11-23T02:04:39.6873236Z 
2022-11-23T02:04:39.6873674Z [2022-11-23 01:59:19,693] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3303 
2022-11-23T02:04:39.6873808Z 3304           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6873949Z                2 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6874062Z                4 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6874193Z                6 BUILD_SLICE              2
2022-11-23T02:04:39.6874373Z                8 LOAD_CONST               1 (20)
2022-11-23T02:04:39.6874511Z               10 LOAD_CONST               2 (40)
2022-11-23T02:04:39.6874637Z               12 BUILD_SLICE              2
2022-11-23T02:04:39.6874765Z               14 BUILD_TUPLE              2
2022-11-23T02:04:39.6874879Z               16 BINARY_SUBSCR
2022-11-23T02:04:39.6874991Z               18 LOAD_CONST               3 (1)
2022-11-23T02:04:39.6875101Z               20 BINARY_ADD
2022-11-23T02:04:39.6875234Z               22 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6875368Z               24 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6875498Z               26 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6875629Z               28 BUILD_SLICE              2
2022-11-23T02:04:39.6875762Z               30 LOAD_CONST               1 (20)
2022-11-23T02:04:39.6875872Z               32 LOAD_CONST               2 (40)
2022-11-23T02:04:39.6876002Z               34 BUILD_SLICE              2
2022-11-23T02:04:39.6876132Z               36 BUILD_TUPLE              2
2022-11-23T02:04:39.6876246Z               38 STORE_SUBSCR
2022-11-23T02:04:39.6876265Z 
2022-11-23T02:04:39.6876394Z 3305          40 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6876526Z               42 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6876653Z               44 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6876779Z               46 BUILD_SLICE              2
2022-11-23T02:04:39.6876891Z               48 LOAD_CONST               3 (1)
2022-11-23T02:04:39.6877020Z               50 LOAD_CONST               4 (10)
2022-11-23T02:04:39.6877145Z               52 BUILD_SLICE              2
2022-11-23T02:04:39.6877270Z               54 BUILD_TUPLE              2
2022-11-23T02:04:39.6877392Z               56 BINARY_SUBSCR
2022-11-23T02:04:39.6877520Z               58 LOAD_CONST               5 (2)
2022-11-23T02:04:39.6877628Z               60 BINARY_ADD
2022-11-23T02:04:39.6877740Z               62 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6877877Z               64 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6878009Z               66 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6878139Z               68 BUILD_SLICE              2
2022-11-23T02:04:39.6878265Z               70 LOAD_CONST               5 (2)
2022-11-23T02:04:39.6878396Z               72 LOAD_CONST               6 (11)
2022-11-23T02:04:39.6878521Z               74 BUILD_SLICE              2
2022-11-23T02:04:39.6878630Z               76 BUILD_TUPLE              2
2022-11-23T02:04:39.6878744Z               78 STORE_SUBSCR
2022-11-23T02:04:39.6878872Z               80 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6878984Z               82 RETURN_VALUE
2022-11-23T02:04:39.6879069Z 
2022-11-23T02:04:39.6879166Z  
2022-11-23T02:04:39.6879620Z [2022-11-23 01:59:19,693] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3303 
2022-11-23T02:04:39.6879780Z 3303           0 LOAD_GLOBAL              0 (__compiled_fn_301)
2022-11-23T02:04:39.6879910Z                2 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6880023Z                4 CALL_FUNCTION            1
2022-11-23T02:04:39.6880131Z                6 POP_TOP
2022-11-23T02:04:39.6880259Z                8 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6880373Z               10 RETURN_VALUE
2022-11-23T02:04:39.6880392Z 
2022-11-23T02:04:39.6880483Z  
2022-11-23T02:04:39.6880736Z [2022-11-23 01:59:19,693] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6880842Z  - 
2022-11-23T02:04:39.6880992Z             local 'a' TENSOR_MATCH
2022-11-23T02:04:39.6881091Z             {
2022-11-23T02:04:39.6881289Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6881448Z                 'code': None,
2022-11-23T02:04:39.6881740Z                 'obj_weakref': <weakref at 0x7fa51c139f30; to 'Tensor' at 0x7fa62380c810>
2022-11-23T02:04:39.6882130Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6882234Z             }
2022-11-23T02:04:39.6882311Z             
2022-11-23T02:04:39.6882415Z ok (0.036s)
2022-11-23T02:04:39.6882845Z   test_slice_scatter2_cpu (__main__.CpuTests) ... [2022-11-23 01:59:19,711] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6883268Z [2022-11-23 01:59:19,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6883566Z [2022-11-23 01:59:19,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6883907Z [2022-11-23 01:59:19,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6884291Z [2022-11-23 01:59:19,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6884719Z [2022-11-23 01:59:19,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6885185Z [2022-11-23 01:59:19,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6885603Z [2022-11-23 01:59:19,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6886102Z [2022-11-23 01:59:19,712] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f78b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3657> 
2022-11-23T02:04:39.6886302Z  3658           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.6886457Z                2 LOAD_METHOD              1 (slice_scatter)
2022-11-23T02:04:39.6886624Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6886762Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.6886892Z                8 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6887020Z               10 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6887144Z               12 LOAD_CONST               2 (9223372036854775807)
2022-11-23T02:04:39.6887274Z               14 CALL_METHOD              5
2022-11-23T02:04:39.6887386Z               16 RETURN_VALUE
2022-11-23T02:04:39.6887478Z  
2022-11-23T02:04:39.6887498Z 
2022-11-23T02:04:39.6887920Z [2022-11-23 01:59:19,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3658
2022-11-23T02:04:39.6888216Z [2022-11-23 01:59:19,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.6888706Z [2022-11-23 01:59:19,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.6889066Z [2022-11-23 01:59:19,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.slice_scatter)]
2022-11-23T02:04:39.6889458Z [2022-11-23 01:59:19,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T02:04:39.6889871Z [2022-11-23 01:59:19,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6890350Z [2022-11-23 01:59:19,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6890892Z [2022-11-23 01:59:19,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.6891533Z [2022-11-23 01:59:19,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.6891872Z [2022-11-23 01:59:19,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6892387Z [2022-11-23 01:59:19,723] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f78b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3657>
2022-11-23T02:04:39.6892718Z [2022-11-23 01:59:19,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.6893039Z [2022-11-23 01:59:19,723] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6893387Z [2022-11-23 01:59:19,725] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6893732Z [2022-11-23 01:59:19,729] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6893994Z [2022-11-23 01:59:19,730] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6894167Z  __compiled_fn_302 <eval_with_key>.2286 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6894297Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6894424Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.6894621Z call_function, slice_scatter, aten.slice_scatter, (ex_0_, ex_1_, 0, 0, 9223372036854775807), {}
2022-11-23T02:04:39.6894775Z output, output, output, ((slice_scatter,),), {}
2022-11-23T02:04:39.6894796Z 
2022-11-23T02:04:39.6895235Z [2022-11-23 01:59:19,730] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6895382Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6895515Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6895626Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6895770Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6895893Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6896506Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6896736Z              12 RETURN_VALUE
2022-11-23T02:04:39.6896763Z 
2022-11-23T02:04:39.6896908Z  
2022-11-23T02:04:39.6897702Z [2022-11-23 01:59:19,730] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6897963Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_302)
2022-11-23T02:04:39.6898152Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6898329Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6898628Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6898759Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6898888Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6899003Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.6899138Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.6899252Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.6899365Z              18 RETURN_VALUE
2022-11-23T02:04:39.6899385Z 
2022-11-23T02:04:39.6899479Z  
2022-11-23T02:04:39.6899746Z [2022-11-23 01:59:19,731] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6899856Z  - 
2022-11-23T02:04:39.6900023Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6900121Z             {
2022-11-23T02:04:39.6900301Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6900556Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.6900728Z                 'obj_weakref': None
2022-11-23T02:04:39.6901037Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6901138Z             }
2022-11-23T02:04:39.6901234Z             
2022-11-23T02:04:39.6901341Z  - 
2022-11-23T02:04:39.6901583Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6901689Z             {
2022-11-23T02:04:39.6901897Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6902050Z                 'code': None,
2022-11-23T02:04:39.6902334Z                 'obj_weakref': <weakref at 0x7fa55009a930; to 'Tensor' at 0x7fa531f7e110>
2022-11-23T02:04:39.6902676Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6902773Z             }
2022-11-23T02:04:39.6902850Z             
2022-11-23T02:04:39.6902969Z  - 
2022-11-23T02:04:39.6903145Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.6903242Z             {
2022-11-23T02:04:39.6903446Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6903597Z                 'code': None,
2022-11-23T02:04:39.6903880Z                 'obj_weakref': <weakref at 0x7fa550098b30; to 'Tensor' at 0x7fa550344360>
2022-11-23T02:04:39.6904202Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6904301Z             }
2022-11-23T02:04:39.6904398Z             
2022-11-23T02:04:39.6904503Z  - 
2022-11-23T02:04:39.6904687Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6904786Z             {
2022-11-23T02:04:39.6904972Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6905183Z                 'code': ['___check_obj_id(model, 140347117821744)'],
2022-11-23T02:04:39.6905350Z                 'obj_weakref': None
2022-11-23T02:04:39.6905662Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6905760Z             }
2022-11-23T02:04:39.6905857Z             
2022-11-23T02:04:39.6905963Z  - 
2022-11-23T02:04:39.6906136Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6906214Z             {
2022-11-23T02:04:39.6906405Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6906701Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6906868Z                 'obj_weakref': None
2022-11-23T02:04:39.6907171Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6907269Z             }
2022-11-23T02:04:39.6907364Z             
2022-11-23T02:04:39.6907451Z  - 
2022-11-23T02:04:39.6907634Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.6907734Z             {
2022-11-23T02:04:39.6907904Z                 'guard_types': None,
2022-11-23T02:04:39.6908057Z                 'code': None,
2022-11-23T02:04:39.6908222Z                 'obj_weakref': None
2022-11-23T02:04:39.6908459Z                 'guarded_class': None
2022-11-23T02:04:39.6908537Z             }
2022-11-23T02:04:39.6908633Z             
2022-11-23T02:04:39.6908988Z [2022-11-23 01:59:19,740] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 294
2022-11-23T02:04:39.6909484Z [2022-11-23 01:59:22,395] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nl/cnl3w4x6obvpskxuithpezsrlnro2zytsrmmxzil4ckzie65ec4i.py
2022-11-23T02:04:39.6909845Z [2022-11-23 01:59:22,395] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 294
2022-11-23T02:04:39.6909867Z 
2022-11-23T02:04:39.6910006Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6910110Z import torch
2022-11-23T02:04:39.6910221Z import random
2022-11-23T02:04:39.6910365Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6910542Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6910562Z 
2022-11-23T02:04:39.6910680Z aten = torch.ops.aten
2022-11-23T02:04:39.6910868Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6911003Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6911022Z 
2022-11-23T02:04:39.6911040Z 
2022-11-23T02:04:39.6911235Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6911578Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6911752Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6911877Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.6911971Z {
2022-11-23T02:04:39.6912114Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6912213Z     {
2022-11-23T02:04:39.6912328Z         #pragma omp for 
2022-11-23T02:04:39.6912454Z         for(long i0=0; i0<75648; i0+=1)
2022-11-23T02:04:39.6912550Z         {
2022-11-23T02:04:39.6912753Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.6912889Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.6912989Z         }
2022-11-23T02:04:39.6913129Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.6913260Z         for(long i0=605184; i0<605184; i0+=1)
2022-11-23T02:04:39.6913356Z         {
2022-11-23T02:04:39.6913480Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.6913584Z             out_ptr0[i0] = tmp0;
2022-11-23T02:04:39.6913677Z         }
2022-11-23T02:04:39.6913772Z     }
2022-11-23T02:04:39.6913867Z }
2022-11-23T02:04:39.6913989Z ''')
2022-11-23T02:04:39.6914009Z 
2022-11-23T02:04:39.6914027Z 
2022-11-23T02:04:39.6914158Z async_compile.wait(globals())
2022-11-23T02:04:39.6914267Z del async_compile
2022-11-23T02:04:39.6914287Z 
2022-11-23T02:04:39.6914374Z def call(args):
2022-11-23T02:04:39.6914486Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.6914594Z     args.clear()
2022-11-23T02:04:39.6914892Z     buf0 = empty_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6915079Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.6915188Z     del arg1_1
2022-11-23T02:04:39.6915298Z     return (buf0, )
2022-11-23T02:04:39.6915318Z 
2022-11-23T02:04:39.6915336Z 
2022-11-23T02:04:39.6915430Z if __name__ == "__main__":
2022-11-23T02:04:39.6915599Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6915777Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6916073Z     arg0_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6916367Z     arg1_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6916532Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.6916552Z 
2022-11-23T02:04:39.6916656Z ok (2.705s)
2022-11-23T02:04:39.6917080Z   test_slice_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:59:22,406] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6917580Z [2022-11-23 01:59:22,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6917858Z [2022-11-23 01:59:22,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6918205Z [2022-11-23 01:59:22,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6918584Z [2022-11-23 01:59:22,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6919016Z [2022-11-23 01:59:22,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6919476Z [2022-11-23 01:59:22,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6919903Z [2022-11-23 01:59:22,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6920463Z [2022-11-23 01:59:22,407] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f789d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3642> 
2022-11-23T02:04:39.6920615Z  3644           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.6920770Z                2 LOAD_METHOD              1 (slice_scatter)
2022-11-23T02:04:39.6920885Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.6921020Z                6 LOAD_FAST                1 (a)
2022-11-23T02:04:39.6921152Z                8 LOAD_CONST               1 (2)
2022-11-23T02:04:39.6921288Z               10 LOAD_CONST               2 (10)
2022-11-23T02:04:39.6921489Z               12 LOAD_CONST               3 (-10)
2022-11-23T02:04:39.6921619Z               14 CALL_METHOD              5
2022-11-23T02:04:39.6921640Z 
2022-11-23T02:04:39.6921774Z 3645          16 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.6921927Z               18 LOAD_METHOD              1 (slice_scatter)
2022-11-23T02:04:39.6922038Z               20 LOAD_FAST                0 (x)
2022-11-23T02:04:39.6922167Z               22 LOAD_FAST                1 (a)
2022-11-23T02:04:39.6922303Z               24 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6922435Z               26 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6922564Z               28 BUILD_SLICE              2
2022-11-23T02:04:39.6922699Z               30 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6922825Z               32 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6922933Z               34 BUILD_SLICE              2
2022-11-23T02:04:39.6923063Z               36 LOAD_CONST               0 (None)
2022-11-23T02:04:39.6923193Z               38 LOAD_CONST               4 (40)
2022-11-23T02:04:39.6923323Z               40 BUILD_SLICE              2
2022-11-23T02:04:39.6923453Z               42 BUILD_TUPLE              3
2022-11-23T02:04:39.6923574Z               44 BINARY_SUBSCR
2022-11-23T02:04:39.6923705Z               46 LOAD_CONST               1 (2)
2022-11-23T02:04:39.6923818Z               48 LOAD_CONST               2 (10)
2022-11-23T02:04:39.6924033Z               50 LOAD_CONST               3 (-10)
2022-11-23T02:04:39.6924164Z               52 LOAD_CONST               1 (2)
2022-11-23T02:04:39.6924292Z               54 CALL_METHOD              6
2022-11-23T02:04:39.6924311Z 
2022-11-23T02:04:39.6924440Z 3643          56 BUILD_TUPLE              2
2022-11-23T02:04:39.6924555Z               58 RETURN_VALUE
2022-11-23T02:04:39.6924648Z  
2022-11-23T02:04:39.6924667Z 
2022-11-23T02:04:39.6925105Z [2022-11-23 01:59:22,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3644
2022-11-23T02:04:39.6925383Z [2022-11-23 01:59:22,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.6925882Z [2022-11-23 01:59:22,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.6926242Z [2022-11-23 01:59:22,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.slice_scatter)]
2022-11-23T02:04:39.6926636Z [2022-11-23 01:59:22,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T02:04:39.6927067Z [2022-11-23 01:59:22,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6927542Z [2022-11-23 01:59:22,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6928065Z [2022-11-23 01:59:22,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.6928696Z [2022-11-23 01:59:22,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.6929128Z [2022-11-23 01:59:22,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3645
2022-11-23T02:04:39.6929465Z [2022-11-23 01:59:22,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.6929928Z [2022-11-23 01:59:22,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.6930318Z [2022-11-23 01:59:22,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.slice_scatter)]
2022-11-23T02:04:39.6930731Z [2022-11-23 01:59:22,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T02:04:39.6931206Z [2022-11-23 01:59:22,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6931743Z [2022-11-23 01:59:22,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6932336Z [2022-11-23 01:59:22,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6932842Z [2022-11-23 01:59:22,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T02:04:39.6933421Z [2022-11-23 01:59:22,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6934048Z [2022-11-23 01:59:22,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6934587Z [2022-11-23 01:59:22,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T02:04:39.6935176Z [2022-11-23 01:59:22,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.6935922Z [2022-11-23 01:59:22,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T02:04:39.6937398Z [2022-11-23 01:59:22,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), SliceVariable()]
2022-11-23T02:04:39.6938329Z [2022-11-23 01:59:22,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.6938808Z [2022-11-23 01:59:22,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6939324Z [2022-11-23 01:59:22,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6940045Z [2022-11-23 01:59:22,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.6940664Z [2022-11-23 01:59:22,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.6941324Z [2022-11-23 01:59:22,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.6941733Z [2022-11-23 01:59:22,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3643
2022-11-23T02:04:39.6942100Z [2022-11-23 01:59:22,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6942435Z [2022-11-23 01:59:22,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6942945Z [2022-11-23 01:59:22,434] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f789d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3642>
2022-11-23T02:04:39.6943278Z [2022-11-23 01:59:22,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6943601Z [2022-11-23 01:59:22,434] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6943990Z [2022-11-23 01:59:22,436] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6944335Z [2022-11-23 01:59:22,444] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6944597Z [2022-11-23 01:59:22,444] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6944787Z  __compiled_fn_303 <eval_with_key>.2292 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6944898Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6945025Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.6945302Z call_function, slice_scatter, aten.slice_scatter, (ex_0_, ex_1_, 2, 10, -10), {}
2022-11-23T02:04:39.6945692Z call_function, getitem, <built-in function getitem>, (ex_1_, (slice(None, None, None), slice(None, None, None), slice(None, 40, None))), {}
2022-11-23T02:04:39.6945988Z call_function, slice_scatter_1, aten.slice_scatter, (ex_0_, getitem, 2, 10, -10, 2), {}
2022-11-23T02:04:39.6946276Z output, output, output, ((slice_scatter, slice_scatter_1),), {}
2022-11-23T02:04:39.6946303Z 
2022-11-23T02:04:39.6946743Z [2022-11-23 01:59:22,445] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6946881Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6946995Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6947125Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6947259Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6947383Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6947511Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6947625Z              12 RETURN_VALUE
2022-11-23T02:04:39.6947645Z 
2022-11-23T02:04:39.6947738Z  
2022-11-23T02:04:39.6948168Z [2022-11-23 01:59:22,445] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6948310Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_303)
2022-11-23T02:04:39.6948443Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6948626Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6948746Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6948874Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6949001Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6949113Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.6949221Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.6949371Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.6949519Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6949646Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6949762Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.6949905Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6950037Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6950129Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.6950259Z              30 BUILD_TUPLE              2
2022-11-23T02:04:39.6950369Z              32 RETURN_VALUE
2022-11-23T02:04:39.6950393Z 
2022-11-23T02:04:39.6950485Z  
2022-11-23T02:04:39.6950741Z [2022-11-23 01:59:22,446] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6950848Z  - 
2022-11-23T02:04:39.6951015Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6951094Z             {
2022-11-23T02:04:39.6951292Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6951552Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.6951721Z                 'obj_weakref': None
2022-11-23T02:04:39.6952028Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6952127Z             }
2022-11-23T02:04:39.6952231Z             
2022-11-23T02:04:39.6952319Z  - 
2022-11-23T02:04:39.6952495Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.6952591Z             {
2022-11-23T02:04:39.6952791Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6952947Z                 'code': None,
2022-11-23T02:04:39.6953238Z                 'obj_weakref': <weakref at 0x7fa531f32750; to 'Tensor' at 0x7fa5322a4ef0>
2022-11-23T02:04:39.6953579Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6953678Z             }
2022-11-23T02:04:39.6953754Z             
2022-11-23T02:04:39.6953858Z  - 
2022-11-23T02:04:39.6954073Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.6954135Z             {
2022-11-23T02:04:39.6954368Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.6954477Z                 'code': None,
2022-11-23T02:04:39.6954745Z                 'obj_weakref': <weakref at 0x7fa55a004950; to 'Tensor' at 0x7fa51c512d40>
2022-11-23T02:04:39.6955150Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.6955247Z             }
2022-11-23T02:04:39.6955340Z             
2022-11-23T02:04:39.6955442Z  - 
2022-11-23T02:04:39.6955626Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.6955725Z             {
2022-11-23T02:04:39.6955894Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.6956128Z                 'code': ['___check_obj_id(model, 140347117821744)'],
2022-11-23T02:04:39.6956298Z                 'obj_weakref': None
2022-11-23T02:04:39.6956608Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.6956708Z             }
2022-11-23T02:04:39.6956803Z             
2022-11-23T02:04:39.6956909Z  - 
2022-11-23T02:04:39.6957061Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.6957157Z             {
2022-11-23T02:04:39.6957350Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.6957644Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.6957810Z                 'obj_weakref': None
2022-11-23T02:04:39.6958155Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.6958257Z             }
2022-11-23T02:04:39.6958354Z             
2022-11-23T02:04:39.6958443Z  - 
2022-11-23T02:04:39.6958625Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.6958724Z             {
2022-11-23T02:04:39.6958897Z                 'guard_types': None,
2022-11-23T02:04:39.6959045Z                 'code': None,
2022-11-23T02:04:39.6959210Z                 'obj_weakref': None
2022-11-23T02:04:39.6959361Z                 'guarded_class': None
2022-11-23T02:04:39.6959457Z             }
2022-11-23T02:04:39.6959549Z             
2022-11-23T02:04:39.6959900Z [2022-11-23 01:59:22,461] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 295
2022-11-23T02:04:39.6960392Z [2022-11-23 01:59:25,123] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6n/c6nxym3oysmimvq4uv6deyqwbawb5h6tylrmuv2pbwble27whbhi.py
2022-11-23T02:04:39.6960754Z [2022-11-23 01:59:25,123] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 295
2022-11-23T02:04:39.6960775Z 
2022-11-23T02:04:39.6960911Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.6961019Z import torch
2022-11-23T02:04:39.6961108Z import random
2022-11-23T02:04:39.6961271Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.6961443Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.6961462Z 
2022-11-23T02:04:39.6961580Z aten = torch.ops.aten
2022-11-23T02:04:39.6961767Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.6961903Z async_compile = AsyncCompile()
2022-11-23T02:04:39.6961922Z 
2022-11-23T02:04:39.6961944Z 
2022-11-23T02:04:39.6962139Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.6962416Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.6962563Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.6962718Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.6962861Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.6963004Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.6963096Z {
2022-11-23T02:04:39.6963237Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.6963332Z     {
2022-11-23T02:04:39.6963428Z         #pragma omp for 
2022-11-23T02:04:39.6963546Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.6963645Z         {
2022-11-23T02:04:39.6963766Z             #pragma GCC ivdep
2022-11-23T02:04:39.6963888Z             for(long i1=0; i1<100; i1+=1)
2022-11-23T02:04:39.6963986Z             {
2022-11-23T02:04:39.6964150Z                 {
2022-11-23T02:04:39.6964232Z                     {
2022-11-23T02:04:39.6964383Z                         auto tmp8 = in_ptr1[i1 + (100*i0)];
2022-11-23T02:04:39.6964530Z                         auto tmp0 = static_cast<int>(i1);
2022-11-23T02:04:39.6964680Z                         auto tmp1 = static_cast<int>(10);
2022-11-23T02:04:39.6964816Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T02:04:39.6965031Z                         auto tmp3 = static_cast<int>(90);
2022-11-23T02:04:39.6965168Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T02:04:39.6965283Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T02:04:39.6965407Z                         float tmp6 = 0.0;
2022-11-23T02:04:39.6965514Z                         if(tmp5)
2022-11-23T02:04:39.6965616Z                         {
2022-11-23T02:04:39.6965856Z                             auto tmp7 = in_ptr0[(-10) + i1 + (80*i0)];
2022-11-23T02:04:39.6965977Z                             tmp6 = tmp7;
2022-11-23T02:04:39.6966083Z                         }
2022-11-23T02:04:39.6966208Z                         auto tmp9 = tmp5 ? tmp6 : tmp8;
2022-11-23T02:04:39.6966365Z                         auto tmp10 = static_cast<int>(i1 % 2);
2022-11-23T02:04:39.6966621Z                         auto tmp11 = static_cast<int>(0);
2022-11-23T02:04:39.6966769Z                         auto tmp12 = tmp10 == tmp11;
2022-11-23T02:04:39.6966906Z                         auto tmp13 = tmp5 & tmp12;
2022-11-23T02:04:39.6967039Z                         float tmp14 = 0.0;
2022-11-23T02:04:39.6967153Z                         if(tmp13)
2022-11-23T02:04:39.6967236Z                         {
2022-11-23T02:04:39.6967489Z                             auto tmp15 = in_ptr0[(-5) + (80*i0) + (i1 / 2)];
2022-11-23T02:04:39.6967616Z                             tmp14 = tmp15;
2022-11-23T02:04:39.6967719Z                         }
2022-11-23T02:04:39.6967870Z                         auto tmp16 = tmp13 ? tmp14 : tmp8;
2022-11-23T02:04:39.6968014Z                         out_ptr0[i1 + (100*i0)] = tmp9;
2022-11-23T02:04:39.6968154Z                         out_ptr1[i1 + (100*i0)] = tmp16;
2022-11-23T02:04:39.6968256Z                     }
2022-11-23T02:04:39.6968336Z                 }
2022-11-23T02:04:39.6968433Z             }
2022-11-23T02:04:39.6968534Z         }
2022-11-23T02:04:39.6968630Z     }
2022-11-23T02:04:39.6968723Z }
2022-11-23T02:04:39.6968845Z ''')
2022-11-23T02:04:39.6968866Z 
2022-11-23T02:04:39.6968885Z 
2022-11-23T02:04:39.6969023Z async_compile.wait(globals())
2022-11-23T02:04:39.6969114Z del async_compile
2022-11-23T02:04:39.6969133Z 
2022-11-23T02:04:39.6969240Z def call(args):
2022-11-23T02:04:39.6969352Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.6969461Z     args.clear()
2022-11-23T02:04:39.6969758Z     buf0 = empty_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6970044Z     buf1 = empty_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6970314Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.6970398Z     del arg0_1
2022-11-23T02:04:39.6970504Z     del arg1_1
2022-11-23T02:04:39.6970618Z     return (buf0, buf1, )
2022-11-23T02:04:39.6970637Z 
2022-11-23T02:04:39.6970659Z 
2022-11-23T02:04:39.6970775Z if __name__ == "__main__":
2022-11-23T02:04:39.6970936Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.6971108Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.6971400Z     arg0_1 = rand_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6971681Z     arg1_1 = rand_strided((4, 8, 80), (640, 80, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.6971827Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.6971846Z 
2022-11-23T02:04:39.6971949Z ok (2.725s)
2022-11-23T02:04:39.6972358Z   test_softmax_cpu (__main__.CpuTests) ... [2022-11-23 01:59:25,131] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.6972859Z [2022-11-23 01:59:25,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.6973163Z [2022-11-23 01:59:25,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.6973511Z [2022-11-23 01:59:25,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.6973887Z [2022-11-23 01:59:25,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.6974318Z [2022-11-23 01:59:25,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6974789Z [2022-11-23 01:59:25,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6975231Z [2022-11-23 01:59:25,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.6975766Z [2022-11-23 01:59:25,132] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641131790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1230> 
2022-11-23T02:04:39.6975917Z  1231           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.6976630Z                2 LOAD_METHOD              1 (softmax)
2022-11-23T02:04:39.6976859Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6977066Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.6977237Z                8 BINARY_ADD
2022-11-23T02:04:39.6977598Z               10 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.6977808Z               12 CALL_METHOD              2
2022-11-23T02:04:39.6978010Z               14 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.6978238Z               16 LOAD_METHOD              1 (softmax)
2022-11-23T02:04:39.6978384Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:39.6978515Z               20 LOAD_CONST               2 (0)
2022-11-23T02:04:39.6978649Z               22 CALL_METHOD              2
2022-11-23T02:04:39.6978789Z               24 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.6978925Z               26 LOAD_METHOD              1 (softmax)
2022-11-23T02:04:39.6979034Z               28 LOAD_FAST                1 (b)
2022-11-23T02:04:39.6979160Z               30 LOAD_CONST               3 (1)
2022-11-23T02:04:39.6979287Z               32 CALL_METHOD              2
2022-11-23T02:04:39.6979418Z               34 BUILD_TUPLE              3
2022-11-23T02:04:39.6979534Z               36 RETURN_VALUE
2022-11-23T02:04:39.6979626Z  
2022-11-23T02:04:39.6979650Z 
2022-11-23T02:04:39.6980086Z [2022-11-23 01:59:25,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1231
2022-11-23T02:04:39.6980392Z [2022-11-23 01:59:25,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.6980875Z [2022-11-23 01:59:25,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.6981315Z [2022-11-23 01:59:25,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method softmax of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.6981781Z [2022-11-23 01:59:25,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method softmax of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.6982297Z [2022-11-23 01:59:25,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method softmax of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6982993Z [2022-11-23 01:59:25,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method softmax of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.6983464Z [2022-11-23 01:59:25,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method softmax of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6983797Z [2022-11-23 01:59:25,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.6984327Z [2022-11-23 01:59:25,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.6984798Z [2022-11-23 01:59:25,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.6985311Z [2022-11-23 01:59:25,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.6985937Z [2022-11-23 01:59:25,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6986361Z [2022-11-23 01:59:25,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6986929Z [2022-11-23 01:59:25,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.6987418Z [2022-11-23 01:59:25,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.6987969Z [2022-11-23 01:59:25,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.6988573Z [2022-11-23 01:59:25,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.6988973Z [2022-11-23 01:59:25,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.6989306Z [2022-11-23 01:59:25,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6989809Z [2022-11-23 01:59:25,153] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641131790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1230>
2022-11-23T02:04:39.6990146Z [2022-11-23 01:59:25,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.6990468Z [2022-11-23 01:59:25,154] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.6990814Z [2022-11-23 01:59:25,156] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.6991154Z [2022-11-23 01:59:25,171] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.6991413Z [2022-11-23 01:59:25,171] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.6991582Z  __compiled_fn_304 <eval_with_key>.2298 opcode, name, target, args, kwargs
2022-11-23T02:04:39.6991717Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.6991846Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.6992161Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.6992478Z call_function, softmax, <built-in method softmax of type object at 0x7fa5855aec60>, (add, -1), {}
2022-11-23T02:04:39.6992812Z call_function, softmax_1, <built-in method softmax of type object at 0x7fa5855aec60>, (ex_0_, 0), {}
2022-11-23T02:04:39.6993131Z call_function, softmax_2, <built-in method softmax of type object at 0x7fa5855aec60>, (ex_1_, 1), {}
2022-11-23T02:04:39.6993312Z output, output, output, ((softmax, softmax_1, softmax_2),), {}
2022-11-23T02:04:39.6993333Z 
2022-11-23T02:04:39.6993748Z [2022-11-23 01:59:25,172] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6993924Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.6994020Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6994143Z               4 BUILD_MAP                0
2022-11-23T02:04:39.6994282Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.6994430Z               8 DICT_MERGE               1
2022-11-23T02:04:39.6994540Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.6994652Z              12 RETURN_VALUE
2022-11-23T02:04:39.6994672Z 
2022-11-23T02:04:39.6994800Z  
2022-11-23T02:04:39.6995242Z [2022-11-23 01:59:25,172] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.6995398Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_304)
2022-11-23T02:04:39.6995530Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6995660Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6995775Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.6995906Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.6996015Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6996132Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.6996264Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.6996416Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.6996559Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6996692Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.6996807Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.6996952Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6997063Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.6997176Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.6997322Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.6997451Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:39.6997562Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.6997690Z              36 BUILD_TUPLE              3
2022-11-23T02:04:39.6997804Z              38 RETURN_VALUE
2022-11-23T02:04:39.6997825Z 
2022-11-23T02:04:39.6997904Z  
2022-11-23T02:04:39.6998170Z [2022-11-23 01:59:25,173] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.6998278Z  - 
2022-11-23T02:04:39.6998446Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.6998548Z             {
2022-11-23T02:04:39.6998749Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.6999009Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.6999161Z                 'obj_weakref': None
2022-11-23T02:04:39.6999470Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.6999570Z             }
2022-11-23T02:04:39.6999667Z             
2022-11-23T02:04:39.6999775Z  - 
2022-11-23T02:04:39.6999950Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7000046Z             {
2022-11-23T02:04:39.7000228Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7000384Z                 'code': None,
2022-11-23T02:04:39.7000773Z                 'obj_weakref': <weakref at 0x7fa550083e70; to 'Tensor' at 0x7fa531f7e110>
2022-11-23T02:04:39.7001114Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7001211Z             }
2022-11-23T02:04:39.7001312Z             
2022-11-23T02:04:39.7001421Z  - 
2022-11-23T02:04:39.7001576Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.7001673Z             {
2022-11-23T02:04:39.7001876Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7002030Z                 'code': None,
2022-11-23T02:04:39.7002314Z                 'obj_weakref': <weakref at 0x7fa550081b20; to 'Tensor' at 0x7fa5322a4ef0>
2022-11-23T02:04:39.7002658Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7002756Z             }
2022-11-23T02:04:39.7002834Z             
2022-11-23T02:04:39.7002939Z  - 
2022-11-23T02:04:39.7003122Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7003226Z             {
2022-11-23T02:04:39.7003417Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7003650Z                 'code': ['___check_obj_id(model, 140347117821744)'],
2022-11-23T02:04:39.7003881Z                 'obj_weakref': None
2022-11-23T02:04:39.7004182Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7004280Z             }
2022-11-23T02:04:39.7004377Z             
2022-11-23T02:04:39.7004486Z  - 
2022-11-23T02:04:39.7004660Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7004756Z             {
2022-11-23T02:04:39.7004948Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7005223Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7005390Z                 'obj_weakref': None
2022-11-23T02:04:39.7005693Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7005795Z             }
2022-11-23T02:04:39.7005889Z             
2022-11-23T02:04:39.7005995Z  - 
2022-11-23T02:04:39.7006241Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.7006321Z             {
2022-11-23T02:04:39.7006493Z                 'guard_types': None,
2022-11-23T02:04:39.7006647Z                 'code': None,
2022-11-23T02:04:39.7006814Z                 'obj_weakref': None
2022-11-23T02:04:39.7006986Z                 'guarded_class': None
2022-11-23T02:04:39.7007082Z             }
2022-11-23T02:04:39.7007162Z             
2022-11-23T02:04:39.7007515Z [2022-11-23 01:59:25,203] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 296
2022-11-23T02:04:39.7007536Z 
2022-11-23T02:04:39.7007674Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7007780Z import torch
2022-11-23T02:04:39.7007886Z import random
2022-11-23T02:04:39.7008050Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7008225Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7008246Z 
2022-11-23T02:04:39.7008365Z aten = torch.ops.aten
2022-11-23T02:04:39.7008532Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7008666Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7008689Z 
2022-11-23T02:04:39.7008707Z 
2022-11-23T02:04:39.7008902Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.7009182Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.7009348Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.7009492Z                        float* __restrict__ in_out_ptr1,
2022-11-23T02:04:39.7009636Z                        float* __restrict__ in_out_ptr2,
2022-11-23T02:04:39.7009788Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.7009918Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.7010060Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.7010277Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.7010412Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:39.7010550Z                        float* __restrict__ out_ptr6,
2022-11-23T02:04:39.7010689Z                        float* __restrict__ out_ptr7,
2022-11-23T02:04:39.7010825Z                        float* __restrict__ out_ptr8)
2022-11-23T02:04:39.7010899Z {
2022-11-23T02:04:39.7011026Z     auto out_ptr3 = in_out_ptr0;
2022-11-23T02:04:39.7011149Z     auto out_ptr4 = in_out_ptr1;
2022-11-23T02:04:39.7011271Z     auto out_ptr5 = in_out_ptr2;
2022-11-23T02:04:39.7011410Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7011509Z     {
2022-11-23T02:04:39.7011629Z         #pragma omp for 
2022-11-23T02:04:39.7011733Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.7011830Z         {
2022-11-23T02:04:39.7011923Z             {
2022-11-23T02:04:39.7012463Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T02:04:39.7012800Z                 float tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.7013032Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T02:04:39.7013325Z                 float tmp4 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.7013496Z                 auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T02:04:39.7013628Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.7013709Z                 {
2022-11-23T02:04:39.7013910Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7014110Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7014243Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7014417Z                     tmp3_vec = at::vec::maximum(tmp3_vec, tmp2);
2022-11-23T02:04:39.7014579Z                     tmp4_vec = at::vec::maximum(tmp4_vec, tmp1);
2022-11-23T02:04:39.7014677Z                 }
2022-11-23T02:04:39.7014972Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp3_vec);
2022-11-23T02:04:39.7015252Z                 tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp4_vec);
2022-11-23T02:04:39.7015436Z                 #pragma omp simd simdlen(4)  reduction(max:tmp3) reduction(max:tmp4)
2022-11-23T02:04:39.7015565Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.7015664Z                 {
2022-11-23T02:04:39.7015807Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:39.7015946Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T02:04:39.7016575Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7016824Z                     tmp3 = std::max(tmp3, tmp2);
2022-11-23T02:04:39.7017027Z                     tmp4 = std::max(tmp4, tmp1);
2022-11-23T02:04:39.7017182Z                 }
2022-11-23T02:04:39.7017380Z                 out_ptr0[i0] = tmp3;
2022-11-23T02:04:39.7017566Z                 out_ptr1[i0] = tmp4;
2022-11-23T02:04:39.7017721Z             }
2022-11-23T02:04:39.7017874Z         }
2022-11-23T02:04:39.7018064Z         #pragma omp for 
2022-11-23T02:04:39.7018224Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.7018334Z         {
2022-11-23T02:04:39.7018429Z             {
2022-11-23T02:04:39.7018527Z                 {
2022-11-23T02:04:39.7018856Z                     float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.7018989Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:39.7019091Z                     {
2022-11-23T02:04:39.7019175Z                         {
2022-11-23T02:04:39.7019324Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T02:04:39.7019654Z                             tmp1 = std::max(tmp1, tmp0);
2022-11-23T02:04:39.7019757Z                         }
2022-11-23T02:04:39.7019856Z                     }
2022-11-23T02:04:39.7019986Z                     out_ptr2[i0] = tmp1;
2022-11-23T02:04:39.7020085Z                 }
2022-11-23T02:04:39.7020162Z             }
2022-11-23T02:04:39.7020256Z         }
2022-11-23T02:04:39.7020367Z         #pragma omp for 
2022-11-23T02:04:39.7020487Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.7020582Z         {
2022-11-23T02:04:39.7020675Z             {
2022-11-23T02:04:39.7020940Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.7021041Z                 float tmp12 = 0;
2022-11-23T02:04:39.7021219Z                 auto tmp12_vec = at::vec::Vectorized<float>(tmp12);
2022-11-23T02:04:39.7021348Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.7021450Z                 {
2022-11-23T02:04:39.7021647Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7021840Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7022091Z                     auto tmp3 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T02:04:39.7022296Z                     auto tmp6 = at::vec::Vectorized<float>::loadu(out_ptr2 + 8*i1);
2022-11-23T02:04:39.7022454Z                     auto tmp9 = at::vec::Vectorized<float>(out_ptr1[i0]);
2022-11-23T02:04:39.7022593Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7022789Z                     auto tmp4 = tmp2 - tmp3;
2022-11-23T02:04:39.7022923Z                     auto tmp5 = tmp4.exp();
2022-11-23T02:04:39.7023112Z                     auto tmp7 = tmp0 - tmp6;
2022-11-23T02:04:39.7023243Z                     auto tmp8 = tmp7.exp();
2022-11-23T02:04:39.7023437Z                     auto tmp10 = tmp1 - tmp9;
2022-11-23T02:04:39.7023577Z                     auto tmp11 = tmp10.exp();
2022-11-23T02:04:39.7023709Z                     tmp5.store(out_ptr3 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7023864Z                     tmp8.store(out_ptr4 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7024016Z                     tmp11.store(out_ptr5 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7024139Z                     tmp12_vec += tmp5;
2022-11-23T02:04:39.7024239Z                 }
2022-11-23T02:04:39.7024539Z                 tmp12 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp12_vec);
2022-11-23T02:04:39.7024710Z                 #pragma omp simd simdlen(4)  reduction(+:tmp12)
2022-11-23T02:04:39.7024820Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.7024919Z                 {
2022-11-23T02:04:39.7025063Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:39.7025205Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T02:04:39.7025342Z                     auto tmp3 = out_ptr0[i0];
2022-11-23T02:04:39.7025477Z                     auto tmp6 = out_ptr2[i1];
2022-11-23T02:04:39.7025607Z                     auto tmp9 = out_ptr1[i0];
2022-11-23T02:04:39.7025722Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7025917Z                     auto tmp4 = tmp2 - tmp3;
2022-11-23T02:04:39.7026057Z                     auto tmp5 = std::exp(tmp4);
2022-11-23T02:04:39.7026248Z                     auto tmp7 = tmp0 - tmp6;
2022-11-23T02:04:39.7026387Z                     auto tmp8 = std::exp(tmp7);
2022-11-23T02:04:39.7026578Z                     auto tmp10 = tmp1 - tmp9;
2022-11-23T02:04:39.7026725Z                     auto tmp11 = std::exp(tmp10);
2022-11-23T02:04:39.7026863Z                     out_ptr3[i1 + (8*i0)] = tmp5;
2022-11-23T02:04:39.7026977Z                     out_ptr4[i1 + (8*i0)] = tmp8;
2022-11-23T02:04:39.7027110Z                     out_ptr5[i1 + (8*i0)] = tmp11;
2022-11-23T02:04:39.7027302Z                     tmp12 += tmp5;
2022-11-23T02:04:39.7027401Z                 }
2022-11-23T02:04:39.7027524Z                 out_ptr6[i0] = tmp12;
2022-11-23T02:04:39.7027620Z             }
2022-11-23T02:04:39.7027721Z         }
2022-11-23T02:04:39.7027821Z         #pragma omp for 
2022-11-23T02:04:39.7027942Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.7028036Z         {
2022-11-23T02:04:39.7028136Z             {
2022-11-23T02:04:39.7028233Z                 {
2022-11-23T02:04:39.7028352Z                     float tmp1 = 0;
2022-11-23T02:04:39.7028463Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:39.7028570Z                     {
2022-11-23T02:04:39.7028672Z                         {
2022-11-23T02:04:39.7028822Z                             auto tmp0 = out_ptr4[i0 + (8*i1)];
2022-11-23T02:04:39.7028942Z                             tmp1 += tmp0;
2022-11-23T02:04:39.7029043Z                         }
2022-11-23T02:04:39.7029142Z                     }
2022-11-23T02:04:39.7029252Z                     out_ptr7[i0] = tmp1;
2022-11-23T02:04:39.7029349Z                 }
2022-11-23T02:04:39.7029444Z             }
2022-11-23T02:04:39.7029538Z         }
2022-11-23T02:04:39.7029650Z         #pragma omp for 
2022-11-23T02:04:39.7029816Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.7029918Z         {
2022-11-23T02:04:39.7029995Z             {
2022-11-23T02:04:39.7030255Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.7030372Z                 float tmp1 = 0;
2022-11-23T02:04:39.7030542Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T02:04:39.7030670Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.7030768Z                 {
2022-11-23T02:04:39.7030969Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr5 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7031089Z                     tmp1_vec += tmp0;
2022-11-23T02:04:39.7031172Z                 }
2022-11-23T02:04:39.7031440Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T02:04:39.7031614Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T02:04:39.7031739Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.7031835Z                 {
2022-11-23T02:04:39.7031981Z                     auto tmp0 = out_ptr5[i1 + (8*i0)];
2022-11-23T02:04:39.7032093Z                     tmp1 += tmp0;
2022-11-23T02:04:39.7032171Z                 }
2022-11-23T02:04:39.7032289Z                 out_ptr8[i0] = tmp1;
2022-11-23T02:04:39.7032384Z             }
2022-11-23T02:04:39.7032479Z         }
2022-11-23T02:04:39.7032593Z         #pragma omp for 
2022-11-23T02:04:39.7032711Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.7032807Z         {
2022-11-23T02:04:39.7032908Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.7033008Z             {
2022-11-23T02:04:39.7033203Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr3 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7033379Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr6[i0]);
2022-11-23T02:04:39.7033515Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7033664Z                 tmp2.store(in_out_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7033759Z             }
2022-11-23T02:04:39.7033874Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.7033997Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.7034092Z             {
2022-11-23T02:04:39.7034232Z                 auto tmp0 = out_ptr3[i1 + (8*i0)];
2022-11-23T02:04:39.7034361Z                 auto tmp1 = out_ptr6[i0];
2022-11-23T02:04:39.7034486Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7034621Z                 in_out_ptr0[i1 + (8*i0)] = tmp2;
2022-11-23T02:04:39.7034698Z             }
2022-11-23T02:04:39.7034791Z         }
2022-11-23T02:04:39.7034963Z         #pragma omp for 
2022-11-23T02:04:39.7035082Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.7035176Z         {
2022-11-23T02:04:39.7035296Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.7035392Z             {
2022-11-23T02:04:39.7035572Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr4 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7035761Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(out_ptr7 + 8*i1);
2022-11-23T02:04:39.7035888Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7036037Z                 tmp2.store(in_out_ptr1 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7036133Z             }
2022-11-23T02:04:39.7036265Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.7036384Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.7036461Z             {
2022-11-23T02:04:39.7036599Z                 auto tmp0 = out_ptr4[i1 + (8*i0)];
2022-11-23T02:04:39.7036725Z                 auto tmp1 = out_ptr7[i1];
2022-11-23T02:04:39.7036856Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7036990Z                 in_out_ptr1[i1 + (8*i0)] = tmp2;
2022-11-23T02:04:39.7037085Z             }
2022-11-23T02:04:39.7037180Z         }
2022-11-23T02:04:39.7037274Z         #pragma omp for 
2022-11-23T02:04:39.7037441Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.7037542Z         {
2022-11-23T02:04:39.7037664Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.7037760Z             {
2022-11-23T02:04:39.7037960Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr5 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7038134Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr8[i0]);
2022-11-23T02:04:39.7038260Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7038394Z                 tmp2.store(in_out_ptr2 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7038491Z             }
2022-11-23T02:04:39.7038623Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.7038746Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.7038843Z             {
2022-11-23T02:04:39.7038980Z                 auto tmp0 = out_ptr5[i1 + (8*i0)];
2022-11-23T02:04:39.7039105Z                 auto tmp1 = out_ptr8[i0];
2022-11-23T02:04:39.7039214Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7039352Z                 in_out_ptr2[i1 + (8*i0)] = tmp2;
2022-11-23T02:04:39.7039448Z             }
2022-11-23T02:04:39.7039542Z         }
2022-11-23T02:04:39.7039636Z     }
2022-11-23T02:04:39.7039729Z }
2022-11-23T02:04:39.7039850Z ''')
2022-11-23T02:04:39.7039877Z 
2022-11-23T02:04:39.7039914Z 
2022-11-23T02:04:39.7040029Z async_compile.wait(globals())
2022-11-23T02:04:39.7040138Z del async_compile
2022-11-23T02:04:39.7040158Z 
2022-11-23T02:04:39.7040263Z def call(args):
2022-11-23T02:04:39.7040378Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.7040491Z     args.clear()
2022-11-23T02:04:39.7040767Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7041029Z     buf6 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7041274Z     buf3 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7041530Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7041788Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7042044Z     buf7 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7042297Z     buf2 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7042551Z     buf5 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7042803Z     buf8 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7042929Z     buf9 = buf1; del buf1  # reuse
2022-11-23T02:04:39.7043035Z     buf10 = buf4; del buf4  # reuse
2022-11-23T02:04:39.7043155Z     buf11 = buf7; del buf7  # reuse
2022-11-23T02:04:39.7043696Z     kernel_cpp_0(c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf11.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T02:04:39.7043798Z     del arg0_1
2022-11-23T02:04:39.7043900Z     del arg1_1
2022-11-23T02:04:39.7044051Z     return (buf9, buf10, buf11, )
2022-11-23T02:04:39.7044071Z 
2022-11-23T02:04:39.7044091Z 
2022-11-23T02:04:39.7044204Z if __name__ == "__main__":
2022-11-23T02:04:39.7044366Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7044521Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7044792Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7045058Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7045222Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.7045721Z [2022-11-23 01:59:28,070] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bq/cbqxokmj2y7yjbetwpvh6ldz5rqupxy474oakit27fimirrrh75x.py
2022-11-23T02:04:39.7046135Z [2022-11-23 01:59:28,070] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 296
2022-11-23T02:04:39.7046158Z 
2022-11-23T02:04:39.7046267Z ok (2.946s)
2022-11-23T02:04:39.7046696Z   test_softmax_one_kernel_cpu (__main__.CpuTests) ... [2022-11-23 01:59:28,077] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.7047119Z [2022-11-23 01:59:28,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.7047396Z [2022-11-23 01:59:28,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.7047741Z [2022-11-23 01:59:28,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.7048120Z [2022-11-23 01:59:28,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7048553Z [2022-11-23 01:59:28,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7049015Z [2022-11-23 01:59:28,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7049447Z [2022-11-23 01:59:28,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7049958Z [2022-11-23 01:59:28,079] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fbbec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2345> 
2022-11-23T02:04:39.7050097Z  2346           0 LOAD_CONST               1 (1)
2022-11-23T02:04:39.7050239Z                2 STORE_FAST               1 (dim)
2022-11-23T02:04:39.7050259Z 
2022-11-23T02:04:39.7050398Z 2347           4 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7050513Z                6 LOAD_ATTR                1 (amax)
2022-11-23T02:04:39.7050649Z                8 LOAD_FAST                0 (x)
2022-11-23T02:04:39.7050783Z               10 LOAD_FAST                1 (dim)
2022-11-23T02:04:39.7050919Z               12 LOAD_CONST               2 (True)
2022-11-23T02:04:39.7051134Z               14 LOAD_CONST               3 (('keepdim',))
2022-11-23T02:04:39.7051272Z               16 CALL_FUNCTION_KW         3
2022-11-23T02:04:39.7051403Z               18 STORE_FAST               2 (x_max)
2022-11-23T02:04:39.7051422Z 
2022-11-23T02:04:39.7051538Z 2348          20 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7051671Z               22 LOAD_METHOD              2 (exp)
2022-11-23T02:04:39.7051802Z               24 LOAD_FAST                0 (x)
2022-11-23T02:04:39.7052007Z               26 LOAD_FAST                2 (x_max)
2022-11-23T02:04:39.7052128Z               28 BINARY_MULTIPLY
2022-11-23T02:04:39.7052258Z               30 CALL_METHOD              1
2022-11-23T02:04:39.7052411Z               32 STORE_FAST               3 (unnormalized)
2022-11-23T02:04:39.7052430Z 
2022-11-23T02:04:39.7052579Z 2349          34 LOAD_FAST                3 (unnormalized)
2022-11-23T02:04:39.7052695Z               36 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7052823Z               38 LOAD_ATTR                3 (sum)
2022-11-23T02:04:39.7052972Z               40 LOAD_FAST                3 (unnormalized)
2022-11-23T02:04:39.7053107Z               42 LOAD_FAST                1 (dim)
2022-11-23T02:04:39.7053240Z               44 LOAD_CONST               2 (True)
2022-11-23T02:04:39.7053459Z               46 LOAD_CONST               3 (('keepdim',))
2022-11-23T02:04:39.7053593Z               48 CALL_FUNCTION_KW         3
2022-11-23T02:04:39.7053699Z               50 BINARY_TRUE_DIVIDE
2022-11-23T02:04:39.7053837Z               52 STORE_FAST               4 (result)
2022-11-23T02:04:39.7053857Z 
2022-11-23T02:04:39.7053988Z 2350          54 LOAD_FAST                4 (result)
2022-11-23T02:04:39.7054099Z               56 RETURN_VALUE
2022-11-23T02:04:39.7054245Z  
2022-11-23T02:04:39.7054266Z 
2022-11-23T02:04:39.7054705Z [2022-11-23 01:59:28,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2346
2022-11-23T02:04:39.7054999Z [2022-11-23 01:59:28,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 []
2022-11-23T02:04:39.7055341Z [2022-11-23 01:59:28,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST dim [ConstantVariable(int)]
2022-11-23T02:04:39.7055761Z [2022-11-23 01:59:28,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2347
2022-11-23T02:04:39.7056609Z [2022-11-23 01:59:28,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.7057502Z [2022-11-23 01:59:28,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7058274Z [2022-11-23 01:59:28,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.7058761Z [2022-11-23 01:59:28,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.7059279Z [2022-11-23 01:59:28,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7059864Z [2022-11-23 01:59:28,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T02:04:39.7060497Z [2022-11-23 01:59:28,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method amax of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T02:04:39.7060826Z [2022-11-23 01:59:28,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x_max [TensorVariable()]
2022-11-23T02:04:39.7061246Z [2022-11-23 01:59:28,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2348
2022-11-23T02:04:39.7061541Z [2022-11-23 01:59:28,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.7062022Z [2022-11-23 01:59:28,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7062633Z [2022-11-23 01:59:28,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method exp of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.7063082Z [2022-11-23 01:59:28,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x_max [TorchVariable(<built-in method exp of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.7063611Z [2022-11-23 01:59:28,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(<built-in method exp of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7064072Z [2022-11-23 01:59:28,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method exp of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.7064417Z [2022-11-23 01:59:28,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST unnormalized [TensorVariable()]
2022-11-23T02:04:39.7064843Z [2022-11-23 01:59:28,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2349
2022-11-23T02:04:39.7065211Z [2022-11-23 01:59:28,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unnormalized []
2022-11-23T02:04:39.7065556Z [2022-11-23 01:59:28,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.7066077Z [2022-11-23 01:59:28,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7066561Z [2022-11-23 01:59:28,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unnormalized [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.7067070Z [2022-11-23 01:59:28,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.7067632Z [2022-11-23 01:59:28,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7068250Z [2022-11-23 01:59:28,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T02:04:39.7068905Z [2022-11-23 01:59:28,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T02:04:39.7069291Z [2022-11-23 01:59:28,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7069608Z [2022-11-23 01:59:28,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST result [TensorVariable()]
2022-11-23T02:04:39.7070027Z [2022-11-23 01:59:28,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2350
2022-11-23T02:04:39.7070328Z [2022-11-23 01:59:28,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST result []
2022-11-23T02:04:39.7070663Z [2022-11-23 01:59:28,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.7071169Z [2022-11-23 01:59:28,092] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fbbec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2345>
2022-11-23T02:04:39.7071501Z [2022-11-23 01:59:28,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.7071882Z [2022-11-23 01:59:28,092] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.7072226Z [2022-11-23 01:59:28,094] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.7072567Z [2022-11-23 01:59:28,102] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.7072808Z [2022-11-23 01:59:28,103] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7072998Z  __compiled_fn_305 <eval_with_key>.2304 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7073132Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.7073473Z call_function, amax, <built-in method amax of type object at 0x7fa5855aec60>, (ex_0_, 1), {'keepdim': True}
2022-11-23T02:04:39.7073720Z call_function, mul, <built-in function mul>, (ex_0_, amax), {}
2022-11-23T02:04:39.7074019Z call_function, exp, <built-in method exp of type object at 0x7fa5855aec60>, (mul,), {}
2022-11-23T02:04:39.7074358Z call_function, sum_1, <built-in method sum of type object at 0x7fa5855aec60>, (exp, 1), {'keepdim': True}
2022-11-23T02:04:39.7074631Z call_function, truediv, <built-in function truediv>, (exp, sum_1), {}
2022-11-23T02:04:39.7074759Z output, output, output, ((truediv,),), {}
2022-11-23T02:04:39.7074851Z 
2022-11-23T02:04:39.7075279Z [2022-11-23 01:59:28,103] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7075419Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7075553Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7075684Z               4 BUILD_MAP                0
2022-11-23T02:04:39.7075819Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.7075945Z               8 DICT_MERGE               1
2022-11-23T02:04:39.7076075Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.7076167Z              12 RETURN_VALUE
2022-11-23T02:04:39.7076212Z 
2022-11-23T02:04:39.7076289Z  
2022-11-23T02:04:39.7076732Z [2022-11-23 01:59:28,103] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7076891Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_305)
2022-11-23T02:04:39.7077023Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7077151Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7077272Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.7077400Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.7077512Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.7077627Z              12 RETURN_VALUE
2022-11-23T02:04:39.7077647Z 
2022-11-23T02:04:39.7077743Z  
2022-11-23T02:04:39.7077996Z [2022-11-23 01:59:28,104] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7078105Z  - 
2022-11-23T02:04:39.7078276Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.7078381Z             {
2022-11-23T02:04:39.7078561Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.7078823Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.7078995Z                 'obj_weakref': None
2022-11-23T02:04:39.7079313Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.7079416Z             }
2022-11-23T02:04:39.7079511Z             
2022-11-23T02:04:39.7079622Z  - 
2022-11-23T02:04:39.7079785Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7079887Z             {
2022-11-23T02:04:39.7080085Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7080238Z                 'code': None,
2022-11-23T02:04:39.7080523Z                 'obj_weakref': <weakref at 0x7fa532024c70; to 'Tensor' at 0x7fa531f7e110>
2022-11-23T02:04:39.7080868Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7081042Z             }
2022-11-23T02:04:39.7081121Z             
2022-11-23T02:04:39.7081231Z  - 
2022-11-23T02:04:39.7081419Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7081516Z             {
2022-11-23T02:04:39.7081710Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7081944Z                 'code': ['___check_obj_id(model, 140347117821744)'],
2022-11-23T02:04:39.7082114Z                 'obj_weakref': None
2022-11-23T02:04:39.7082411Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7082509Z             }
2022-11-23T02:04:39.7082606Z             
2022-11-23T02:04:39.7082718Z  - 
2022-11-23T02:04:39.7082892Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7082992Z             {
2022-11-23T02:04:39.7083188Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7083463Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7083638Z                 'obj_weakref': None
2022-11-23T02:04:39.7083941Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7084037Z             }
2022-11-23T02:04:39.7084135Z             
2022-11-23T02:04:39.7084301Z  - 
2022-11-23T02:04:39.7084496Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.7084574Z             {
2022-11-23T02:04:39.7084745Z                 'guard_types': None,
2022-11-23T02:04:39.7084900Z                 'code': None,
2022-11-23T02:04:39.7085067Z                 'obj_weakref': None
2022-11-23T02:04:39.7085236Z                 'guarded_class': None
2022-11-23T02:04:39.7085332Z             }
2022-11-23T02:04:39.7085427Z             
2022-11-23T02:04:39.7085762Z [2022-11-23 01:59:28,118] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 297
2022-11-23T02:04:39.7086256Z [2022-11-23 01:59:30,764] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oy/coypp6efbitivmpzyurd5puobhbtqk7oz2eycsz44gg5kzw6nwc5.py
2022-11-23T02:04:39.7086693Z [2022-11-23 01:59:30,765] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 297
2022-11-23T02:04:39.7086715Z 
2022-11-23T02:04:39.7086856Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7086961Z import torch
2022-11-23T02:04:39.7087069Z import random
2022-11-23T02:04:39.7087236Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7087409Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7087429Z 
2022-11-23T02:04:39.7087527Z aten = torch.ops.aten
2022-11-23T02:04:39.7087718Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7087857Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7087876Z 
2022-11-23T02:04:39.7087896Z 
2022-11-23T02:04:39.7088096Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.7088379Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.7088554Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.7088708Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.7088851Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.7088979Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.7089076Z {
2022-11-23T02:04:39.7089204Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T02:04:39.7089347Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7089443Z     {
2022-11-23T02:04:39.7089560Z         #pragma omp for 
2022-11-23T02:04:39.7089682Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.7089761Z         {
2022-11-23T02:04:39.7089860Z             {
2022-11-23T02:04:39.7090390Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T02:04:39.7090737Z                 float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.7090957Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T02:04:39.7091088Z                 for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.7091189Z                 {
2022-11-23T02:04:39.7091392Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T02:04:39.7091542Z                     tmp1_vec = at::vec::maximum(tmp1_vec, tmp0);
2022-11-23T02:04:39.7091640Z                 }
2022-11-23T02:04:39.7091928Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp1_vec);
2022-11-23T02:04:39.7092100Z                 #pragma omp simd simdlen(4)  reduction(max:tmp1)
2022-11-23T02:04:39.7092228Z                 for(long i1=32; i1<32; i1+=1)
2022-11-23T02:04:39.7092331Z                 {
2022-11-23T02:04:39.7092478Z                     auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T02:04:39.7092634Z                     tmp1 = std::max(tmp1, tmp0);
2022-11-23T02:04:39.7092714Z                 }
2022-11-23T02:04:39.7092835Z                 out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.7092934Z             }
2022-11-23T02:04:39.7093031Z         }
2022-11-23T02:04:39.7093206Z         #pragma omp for 
2022-11-23T02:04:39.7093333Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.7093429Z         {
2022-11-23T02:04:39.7093507Z             {
2022-11-23T02:04:39.7093769Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.7093887Z                 float tmp4 = 0;
2022-11-23T02:04:39.7094056Z                 auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T02:04:39.7094185Z                 for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.7094284Z                 {
2022-11-23T02:04:39.7094486Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T02:04:39.7094676Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T02:04:39.7094792Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.7094925Z                     auto tmp3 = tmp2.exp();
2022-11-23T02:04:39.7095081Z                     tmp3.store(out_ptr1 + (8*i1) + (32*i0));
2022-11-23T02:04:39.7095203Z                     tmp4_vec += tmp3;
2022-11-23T02:04:39.7095302Z                 }
2022-11-23T02:04:39.7095574Z                 tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2022-11-23T02:04:39.7095745Z                 #pragma omp simd simdlen(4)  reduction(+:tmp4)
2022-11-23T02:04:39.7095859Z                 for(long i1=32; i1<32; i1+=1)
2022-11-23T02:04:39.7095959Z                 {
2022-11-23T02:04:39.7096569Z                     auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T02:04:39.7096802Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T02:04:39.7097020Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.7097262Z                     auto tmp3 = std::exp(tmp2);
2022-11-23T02:04:39.7097474Z                     out_ptr1[i1 + (32*i0)] = tmp3;
2022-11-23T02:04:39.7097633Z                     tmp4 += tmp3;
2022-11-23T02:04:39.7097803Z                 }
2022-11-23T02:04:39.7097992Z                 out_ptr2[i0] = tmp4;
2022-11-23T02:04:39.7098143Z             }
2022-11-23T02:04:39.7098244Z         }
2022-11-23T02:04:39.7098361Z         #pragma omp for 
2022-11-23T02:04:39.7098484Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.7098560Z         {
2022-11-23T02:04:39.7098684Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.7098781Z             {
2022-11-23T02:04:39.7098983Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + (8*i1) + (32*i0));
2022-11-23T02:04:39.7099157Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T02:04:39.7099286Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7099599Z                 tmp2.store(in_out_ptr0 + (8*i1) + (32*i0));
2022-11-23T02:04:39.7099697Z             }
2022-11-23T02:04:39.7099813Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.7099936Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T02:04:39.7100035Z             {
2022-11-23T02:04:39.7100177Z                 auto tmp0 = out_ptr1[i1 + (32*i0)];
2022-11-23T02:04:39.7100305Z                 auto tmp1 = out_ptr2[i0];
2022-11-23T02:04:39.7100431Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7100567Z                 in_out_ptr0[i1 + (32*i0)] = tmp2;
2022-11-23T02:04:39.7100648Z             }
2022-11-23T02:04:39.7100738Z         }
2022-11-23T02:04:39.7100834Z     }
2022-11-23T02:04:39.7100926Z }
2022-11-23T02:04:39.7101087Z ''')
2022-11-23T02:04:39.7101109Z 
2022-11-23T02:04:39.7101128Z 
2022-11-23T02:04:39.7101262Z async_compile.wait(globals())
2022-11-23T02:04:39.7101373Z del async_compile
2022-11-23T02:04:39.7101393Z 
2022-11-23T02:04:39.7101487Z def call(args):
2022-11-23T02:04:39.7101593Z     arg0_1, = args
2022-11-23T02:04:39.7101701Z     args.clear()
2022-11-23T02:04:39.7101979Z     buf0 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7102321Z     buf1 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7102604Z     buf2 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7102730Z     buf3 = buf1; del buf1  # reuse
2022-11-23T02:04:39.7102970Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.7103076Z     del arg0_1
2022-11-23T02:04:39.7103183Z     return (buf3, )
2022-11-23T02:04:39.7103203Z 
2022-11-23T02:04:39.7103221Z 
2022-11-23T02:04:39.7103335Z if __name__ == "__main__":
2022-11-23T02:04:39.7103496Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7103670Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7103945Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7104099Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.7104118Z 
2022-11-23T02:04:39.7104202Z ok (2.694s)
2022-11-23T02:04:39.7104612Z   test_sort_cpu (__main__.CpuTests) ... [2022-11-23 01:59:30,771] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.7105043Z [2022-11-23 01:59:30,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.7105392Z [2022-11-23 01:59:30,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.7105736Z [2022-11-23 01:59:30,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.7106110Z [2022-11-23 01:59:30,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7106542Z [2022-11-23 01:59:30,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7107004Z [2022-11-23 01:59:30,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7107441Z [2022-11-23 01:59:30,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7107941Z [2022-11-23 01:59:30,772] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f88c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3091> 
2022-11-23T02:04:39.7108065Z  3092           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7108199Z                2 LOAD_METHOD              1 (sort)
2022-11-23T02:04:39.7108332Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7108581Z                6 CALL_METHOD              1
2022-11-23T02:04:39.7108695Z                8 RETURN_VALUE
2022-11-23T02:04:39.7108787Z  
2022-11-23T02:04:39.7108807Z 
2022-11-23T02:04:39.7109234Z [2022-11-23 01:59:30,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3092
2022-11-23T02:04:39.7109534Z [2022-11-23 01:59:30,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.7110004Z [2022-11-23 01:59:30,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sort [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7110434Z [2022-11-23 01:59:30,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sort of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.7110902Z [2022-11-23 01:59:30,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sort of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.7111248Z [2022-11-23 01:59:30,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T02:04:39.7111798Z [2022-11-23 01:59:30,777] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f88c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3091>
2022-11-23T02:04:39.7112152Z [2022-11-23 01:59:30,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T02:04:39.7112470Z [2022-11-23 01:59:30,777] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.7112812Z [2022-11-23 01:59:30,779] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.7113148Z [2022-11-23 01:59:30,783] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.7113416Z [2022-11-23 01:59:30,783] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7113586Z  __compiled_fn_306 <eval_with_key>.2310 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7113716Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.7114022Z call_function, sort, <built-in method sort of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.7114279Z call_function, getitem, <built-in function getitem>, (sort, 0), {}
2022-11-23T02:04:39.7114533Z call_function, getitem_1, <built-in function getitem>, (sort, 1), {}
2022-11-23T02:04:39.7114696Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T02:04:39.7114717Z 
2022-11-23T02:04:39.7115153Z [2022-11-23 01:59:30,784] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7115291Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7115429Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7115542Z               4 BUILD_MAP                0
2022-11-23T02:04:39.7115677Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.7115801Z               8 DICT_MERGE               1
2022-11-23T02:04:39.7115933Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.7116046Z              12 RETURN_VALUE
2022-11-23T02:04:39.7116065Z 
2022-11-23T02:04:39.7116158Z  
2022-11-23T02:04:39.7116587Z [2022-11-23 01:59:30,784] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7116724Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_306)
2022-11-23T02:04:39.7116854Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7116985Z               4 LOAD_CONST               2 (0)
2022-11-23T02:04:39.7117099Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.7117225Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.7117373Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.7117699Z              12 LOAD_CONST               1 (<class 'torch.return_types.sort'>)
2022-11-23T02:04:39.7117847Z              14 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7117963Z              16 LOAD_CONST               2 (0)
2022-11-23T02:04:39.7118077Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.7118222Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7118351Z              22 LOAD_CONST               3 (1)
2022-11-23T02:04:39.7118465Z              24 BINARY_SUBSCR
2022-11-23T02:04:39.7118593Z              26 BUILD_TUPLE              2
2022-11-23T02:04:39.7118724Z              28 CALL_FUNCTION            1
2022-11-23T02:04:39.7118818Z              30 RETURN_VALUE
2022-11-23T02:04:39.7118839Z 
2022-11-23T02:04:39.7118930Z  
2022-11-23T02:04:39.7119184Z [2022-11-23 01:59:30,786] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7119291Z  - 
2022-11-23T02:04:39.7119462Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.7119565Z             {
2022-11-23T02:04:39.7119762Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.7119999Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.7120216Z                 'obj_weakref': None
2022-11-23T02:04:39.7120530Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.7120628Z             }
2022-11-23T02:04:39.7120723Z             
2022-11-23T02:04:39.7120830Z  - 
2022-11-23T02:04:39.7121006Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7121084Z             {
2022-11-23T02:04:39.7121285Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7121439Z                 'code': None,
2022-11-23T02:04:39.7121729Z                 'obj_weakref': <weakref at 0x7fa51c30d990; to 'Tensor' at 0x7fa550081ee0>
2022-11-23T02:04:39.7122070Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7122171Z             }
2022-11-23T02:04:39.7122266Z             
2022-11-23T02:04:39.7122353Z  - 
2022-11-23T02:04:39.7122535Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7122633Z             {
2022-11-23T02:04:39.7122874Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7123163Z                 'code': ['___check_obj_id(model, 140347117821744)'],
2022-11-23T02:04:39.7123331Z                 'obj_weakref': None
2022-11-23T02:04:39.7123639Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7123717Z             }
2022-11-23T02:04:39.7123814Z             
2022-11-23T02:04:39.7123922Z  - 
2022-11-23T02:04:39.7124091Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7124190Z             {
2022-11-23T02:04:39.7124382Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7124679Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7124833Z                 'obj_weakref': None
2022-11-23T02:04:39.7125135Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7125238Z             }
2022-11-23T02:04:39.7125335Z             
2022-11-23T02:04:39.7125441Z  - 
2022-11-23T02:04:39.7125627Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.7125724Z             {
2022-11-23T02:04:39.7125874Z                 'guard_types': None,
2022-11-23T02:04:39.7126027Z                 'code': None,
2022-11-23T02:04:39.7126197Z                 'obj_weakref': None
2022-11-23T02:04:39.7126369Z                 'guarded_class': None
2022-11-23T02:04:39.7126466Z             }
2022-11-23T02:04:39.7126566Z             
2022-11-23T02:04:39.7126921Z [2022-11-23 01:59:30,794] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 298
2022-11-23T02:04:39.7127194Z [2022-11-23 01:59:30,797] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.sort
2022-11-23T02:04:39.7127787Z [2022-11-23 01:59:30,802] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3k/c3ks4se5ezthwctf3vtmdt7dxxmawfqebkdpul4iz4f5xm5adfwe.py
2022-11-23T02:04:39.7128155Z [2022-11-23 01:59:30,802] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 298
2022-11-23T02:04:39.7128176Z 
2022-11-23T02:04:39.7128314Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7128419Z import torch
2022-11-23T02:04:39.7128523Z import random
2022-11-23T02:04:39.7128685Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7128859Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7128879Z 
2022-11-23T02:04:39.7128984Z aten = torch.ops.aten
2022-11-23T02:04:39.7129173Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7129308Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7129327Z 
2022-11-23T02:04:39.7129349Z 
2022-11-23T02:04:39.7129476Z async_compile.wait(globals())
2022-11-23T02:04:39.7129584Z del async_compile
2022-11-23T02:04:39.7129603Z 
2022-11-23T02:04:39.7129710Z def call(args):
2022-11-23T02:04:39.7129814Z     arg0_1, = args
2022-11-23T02:04:39.7129920Z     args.clear()
2022-11-23T02:04:39.7130077Z     buf0 = aten.sort(arg0_1)
2022-11-23T02:04:39.7130188Z     del arg0_1
2022-11-23T02:04:39.7130291Z     buf1 = buf0[0]
2022-11-23T02:04:39.7130444Z     assert_size_stride(buf1, (1, 1, 8, 8), (64, 64, 8, 1))
2022-11-23T02:04:39.7130547Z     buf2 = buf0[1]
2022-11-23T02:04:39.7130698Z     assert_size_stride(buf2, (1, 1, 8, 8), (64, 64, 8, 1))
2022-11-23T02:04:39.7130778Z     del buf0
2022-11-23T02:04:39.7130893Z     return (buf1, buf2, )
2022-11-23T02:04:39.7130913Z 
2022-11-23T02:04:39.7130932Z 
2022-11-23T02:04:39.7131046Z if __name__ == "__main__":
2022-11-23T02:04:39.7131207Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7131380Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7131683Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7131839Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.7131858Z 
2022-11-23T02:04:39.7131961Z ok (0.037s)
2022-11-23T02:04:39.7132351Z   test_split_cpu (__main__.CpuTests) ... [2022-11-23 01:59:30,808] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.7132774Z [2022-11-23 01:59:30,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.7133071Z [2022-11-23 01:59:30,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.7133413Z [2022-11-23 01:59:30,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.7133788Z [2022-11-23 01:59:30,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7134224Z [2022-11-23 01:59:30,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7134692Z [2022-11-23 01:59:30,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7135123Z [2022-11-23 01:59:30,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7135626Z [2022-11-23 01:59:30,810] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb80e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705> 
2022-11-23T02:04:39.7135768Z  1706           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7135908Z                2 LOAD_METHOD              1 (split)
2022-11-23T02:04:39.7136560Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7137075Z                6 LOAD_CONST               1 (3)
2022-11-23T02:04:39.7137433Z                8 LOAD_CONST               2 (-1)
2022-11-23T02:04:39.7137641Z               10 CALL_METHOD              3
2022-11-23T02:04:39.7137858Z               12 STORE_FAST               1 (t)
2022-11-23T02:04:39.7137888Z 
2022-11-23T02:04:39.7138103Z 1707          14 LOAD_FAST                1 (t)
2022-11-23T02:04:39.7138305Z               16 LOAD_CONST               3 (0)
2022-11-23T02:04:39.7138437Z               18 BINARY_SUBSCR
2022-11-23T02:04:39.7138565Z               20 LOAD_FAST                1 (t)
2022-11-23T02:04:39.7138694Z               22 LOAD_CONST               4 (1)
2022-11-23T02:04:39.7138810Z               24 BINARY_SUBSCR
2022-11-23T02:04:39.7138937Z               26 LOAD_FAST                1 (t)
2022-11-23T02:04:39.7139063Z               28 LOAD_CONST               5 (2)
2022-11-23T02:04:39.7139179Z               30 BINARY_SUBSCR
2022-11-23T02:04:39.7139293Z               32 LOAD_FAST                1 (t)
2022-11-23T02:04:39.7139417Z               34 LOAD_CONST               1 (3)
2022-11-23T02:04:39.7139530Z               36 BINARY_SUBSCR
2022-11-23T02:04:39.7139665Z               38 BUILD_TUPLE              4
2022-11-23T02:04:39.7139861Z               40 RETURN_VALUE
2022-11-23T02:04:39.7139964Z  
2022-11-23T02:04:39.7139984Z 
2022-11-23T02:04:39.7140426Z [2022-11-23 01:59:30,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1706
2022-11-23T02:04:39.7140727Z [2022-11-23 01:59:30,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.7141191Z [2022-11-23 01:59:30,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7141578Z [2022-11-23 01:59:30,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function split at 0x7fa55b499000>)]
2022-11-23T02:04:39.7142001Z [2022-11-23 01:59:30,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<function split at 0x7fa55b499000>), TensorVariable()]
2022-11-23T02:04:39.7142475Z [2022-11-23 01:59:30,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function split at 0x7fa55b499000>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7142998Z [2022-11-23 01:59:30,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function split at 0x7fa55b499000>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.7143318Z [2022-11-23 01:59:30,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [TupleVariable()]
2022-11-23T02:04:39.7143737Z [2022-11-23 01:59:30,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1707
2022-11-23T02:04:39.7144019Z [2022-11-23 01:59:30,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t []
2022-11-23T02:04:39.7144350Z [2022-11-23 01:59:30,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T02:04:39.7144737Z [2022-11-23 01:59:30,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7145036Z [2022-11-23 01:59:30,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable()]
2022-11-23T02:04:39.7145394Z [2022-11-23 01:59:30,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.7145815Z [2022-11-23 01:59:30,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7146168Z [2022-11-23 01:59:30,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7146561Z [2022-11-23 01:59:30,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.7147082Z [2022-11-23 01:59:30,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7147474Z [2022-11-23 01:59:30,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7147904Z [2022-11-23 01:59:30,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.7148396Z [2022-11-23 01:59:30,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7148833Z [2022-11-23 01:59:30,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7149168Z [2022-11-23 01:59:30,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7149700Z [2022-11-23 01:59:30,820] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb80e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705>
2022-11-23T02:04:39.7150041Z [2022-11-23 01:59:30,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7150356Z [2022-11-23 01:59:30,820] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.7150702Z [2022-11-23 01:59:30,823] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.7151042Z [2022-11-23 01:59:30,831] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.7151303Z [2022-11-23 01:59:30,831] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7151499Z  __compiled_fn_307 <eval_with_key>.2316 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7151634Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.7151915Z call_function, split, <function split at 0x7fa55b499000>, (ex_0_, 3, -1), {}
2022-11-23T02:04:39.7152157Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T02:04:39.7152421Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T02:04:39.7152680Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T02:04:39.7152928Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T02:04:39.7153120Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T02:04:39.7153142Z 
2022-11-23T02:04:39.7153579Z [2022-11-23 01:59:30,832] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7153721Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7153856Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7153965Z               4 BUILD_MAP                0
2022-11-23T02:04:39.7154107Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.7154235Z               8 DICT_MERGE               1
2022-11-23T02:04:39.7154364Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.7154479Z              12 RETURN_VALUE
2022-11-23T02:04:39.7154499Z 
2022-11-23T02:04:39.7154594Z  
2022-11-23T02:04:39.7155029Z [2022-11-23 01:59:30,832] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7155190Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_307)
2022-11-23T02:04:39.7155302Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7155436Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7155619Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.7155750Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.7155899Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.7156048Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7156181Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7156277Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.7156423Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7156554Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.7156668Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.7156812Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7156942Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.7157056Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.7157181Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7157313Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:39.7157427Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.7157554Z              36 BUILD_TUPLE              4
2022-11-23T02:04:39.7157666Z              38 RETURN_VALUE
2022-11-23T02:04:39.7157687Z 
2022-11-23T02:04:39.7157782Z  
2022-11-23T02:04:39.7158103Z [2022-11-23 01:59:30,833] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7158219Z  - 
2022-11-23T02:04:39.7158370Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.7158469Z             {
2022-11-23T02:04:39.7158669Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.7158925Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.7159096Z                 'obj_weakref': None
2022-11-23T02:04:39.7159405Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.7159504Z             }
2022-11-23T02:04:39.7159580Z             
2022-11-23T02:04:39.7159682Z  - 
2022-11-23T02:04:39.7159862Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7159960Z             {
2022-11-23T02:04:39.7160159Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7160315Z                 'code': None,
2022-11-23T02:04:39.7160588Z                 'obj_weakref': <weakref at 0x7fa51c24e980; to 'Tensor' at 0x7fa531f7e110>
2022-11-23T02:04:39.7160933Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7161031Z             }
2022-11-23T02:04:39.7161127Z             
2022-11-23T02:04:39.7161232Z  - 
2022-11-23T02:04:39.7161416Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7161514Z             {
2022-11-23T02:04:39.7161685Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7161916Z                 'code': ['___check_obj_id(model, 140347117821744)'],
2022-11-23T02:04:39.7162083Z                 'obj_weakref': None
2022-11-23T02:04:39.7162394Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7162499Z             }
2022-11-23T02:04:39.7162594Z             
2022-11-23T02:04:39.7162701Z  - 
2022-11-23T02:04:39.7162853Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7162954Z             {
2022-11-23T02:04:39.7163141Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7163431Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7163597Z                 'obj_weakref': None
2022-11-23T02:04:39.7163897Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7163994Z             }
2022-11-23T02:04:39.7164089Z             
2022-11-23T02:04:39.7164174Z  - 
2022-11-23T02:04:39.7164361Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.7164456Z             {
2022-11-23T02:04:39.7164624Z                 'guard_types': None,
2022-11-23T02:04:39.7164845Z                 'code': None,
2022-11-23T02:04:39.7165010Z                 'obj_weakref': None
2022-11-23T02:04:39.7165161Z                 'guarded_class': None
2022-11-23T02:04:39.7165257Z             }
2022-11-23T02:04:39.7165351Z             
2022-11-23T02:04:39.7165705Z [2022-11-23 01:59:30,846] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 299
2022-11-23T02:04:39.7166195Z [2022-11-23 01:59:30,851] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6c/c6c35spbl3r26i4haohomu7ikok6tym65y4ntemcmkuccbs3ifz6.py
2022-11-23T02:04:39.7166553Z [2022-11-23 01:59:30,851] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 299
2022-11-23T02:04:39.7166873Z [2022-11-23 01:59:30,856] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.7167296Z [2022-11-23 01:59:30,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.7167599Z [2022-11-23 01:59:30,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.7167922Z [2022-11-23 01:59:30,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.7168353Z [2022-11-23 01:59:30,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7168792Z [2022-11-23 01:59:30,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7169258Z [2022-11-23 01:59:30,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7169689Z [2022-11-23 01:59:30,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7170188Z [2022-11-23 01:59:30,858] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa640fb8190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1709> 
2022-11-23T02:04:39.7170330Z  1710           0 LOAD_DEREF               0 (fn)
2022-11-23T02:04:39.7170467Z                2 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7170604Z                4 LOAD_CONST               1 (1)
2022-11-23T02:04:39.7170696Z                6 BINARY_ADD
2022-11-23T02:04:39.7170833Z                8 CALL_FUNCTION            1
2022-11-23T02:04:39.7170948Z               10 RETURN_VALUE
2022-11-23T02:04:39.7171043Z  
2022-11-23T02:04:39.7171063Z 
2022-11-23T02:04:39.7171490Z [2022-11-23 01:59:30,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1710
2022-11-23T02:04:39.7171783Z [2022-11-23 01:59:30,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn []
2022-11-23T02:04:39.7172130Z [2022-11-23 01:59:30,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [UserFunctionVariable()]
2022-11-23T02:04:39.7172514Z [2022-11-23 01:59:30,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [UserFunctionVariable(), TensorVariable()]
2022-11-23T02:04:39.7172948Z [2022-11-23 01:59:30,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [UserFunctionVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7173314Z [2022-11-23 01:59:30,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [UserFunctionVariable(), TensorVariable()]
2022-11-23T02:04:39.7173808Z [2022-11-23 01:59:30,861] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb80e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705> 
2022-11-23T02:04:39.7173948Z  1706           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7174085Z                2 LOAD_METHOD              1 (split)
2022-11-23T02:04:39.7174217Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7174432Z                6 LOAD_CONST               1 (3)
2022-11-23T02:04:39.7174630Z                8 LOAD_CONST               2 (-1)
2022-11-23T02:04:39.7174767Z               10 CALL_METHOD              3
2022-11-23T02:04:39.7174882Z               12 STORE_FAST               1 (t)
2022-11-23T02:04:39.7174902Z 
2022-11-23T02:04:39.7175035Z 1707          14 LOAD_FAST                1 (t)
2022-11-23T02:04:39.7175165Z               16 LOAD_CONST               3 (0)
2022-11-23T02:04:39.7175280Z               18 BINARY_SUBSCR
2022-11-23T02:04:39.7175406Z               20 LOAD_FAST                1 (t)
2022-11-23T02:04:39.7175535Z               22 LOAD_CONST               4 (1)
2022-11-23T02:04:39.7175649Z               24 BINARY_SUBSCR
2022-11-23T02:04:39.7175757Z               26 LOAD_FAST                1 (t)
2022-11-23T02:04:39.7175885Z               28 LOAD_CONST               5 (2)
2022-11-23T02:04:39.7176000Z               30 BINARY_SUBSCR
2022-11-23T02:04:39.7176722Z               32 LOAD_FAST                1 (t)
2022-11-23T02:04:39.7176925Z               34 LOAD_CONST               1 (3)
2022-11-23T02:04:39.7177107Z               36 BINARY_SUBSCR
2022-11-23T02:04:39.7177322Z               38 BUILD_TUPLE              4
2022-11-23T02:04:39.7177670Z               40 RETURN_VALUE
2022-11-23T02:04:39.7177843Z  
2022-11-23T02:04:39.7177869Z 
2022-11-23T02:04:39.7178559Z [2022-11-23 01:59:30,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1706
2022-11-23T02:04:39.7178875Z [2022-11-23 01:59:30,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.7179367Z [2022-11-23 01:59:30,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7179756Z [2022-11-23 01:59:30,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function split at 0x7fa55b499000>)]
2022-11-23T02:04:39.7180181Z [2022-11-23 01:59:30,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<function split at 0x7fa55b499000>), TensorVariable()]
2022-11-23T02:04:39.7180654Z [2022-11-23 01:59:30,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function split at 0x7fa55b499000>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7181177Z [2022-11-23 01:59:30,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function split at 0x7fa55b499000>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.7181501Z [2022-11-23 01:59:30,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [TupleVariable()]
2022-11-23T02:04:39.7181923Z [2022-11-23 01:59:30,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1707
2022-11-23T02:04:39.7182191Z [2022-11-23 01:59:30,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t []
2022-11-23T02:04:39.7182543Z [2022-11-23 01:59:30,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T02:04:39.7182929Z [2022-11-23 01:59:30,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7183248Z [2022-11-23 01:59:30,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable()]
2022-11-23T02:04:39.7183605Z [2022-11-23 01:59:30,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.7184020Z [2022-11-23 01:59:30,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7184376Z [2022-11-23 01:59:30,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7184766Z [2022-11-23 01:59:30,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.7185335Z [2022-11-23 01:59:30,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7185727Z [2022-11-23 01:59:30,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7186135Z [2022-11-23 01:59:30,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T02:04:39.7186669Z [2022-11-23 01:59:30,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7187108Z [2022-11-23 01:59:30,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7187442Z [2022-11-23 01:59:30,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7187998Z [2022-11-23 01:59:30,871] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb80e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705>
2022-11-23T02:04:39.7188333Z [2022-11-23 01:59:30,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7188834Z [2022-11-23 01:59:30,872] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa640fb8190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1709>
2022-11-23T02:04:39.7189161Z [2022-11-23 01:59:30,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7189480Z [2022-11-23 01:59:30,872] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.7189828Z [2022-11-23 01:59:30,874] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.7190148Z [2022-11-23 01:59:30,883] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.7190410Z [2022-11-23 01:59:30,883] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7190601Z  __compiled_fn_308 <eval_with_key>.2322 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7190731Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.7190970Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.7191242Z call_function, split, <function split at 0x7fa55b499000>, (add, 3, -1), {}
2022-11-23T02:04:39.7191500Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T02:04:39.7191761Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T02:04:39.7191998Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T02:04:39.7192258Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T02:04:39.7192446Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T02:04:39.7192467Z 
2022-11-23T02:04:39.7192902Z [2022-11-23 01:59:30,884] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7193041Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7193172Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7193299Z               4 BUILD_MAP                0
2022-11-23T02:04:39.7193436Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.7193542Z               8 DICT_MERGE               1
2022-11-23T02:04:39.7193672Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.7193784Z              12 RETURN_VALUE
2022-11-23T02:04:39.7193803Z 
2022-11-23T02:04:39.7193979Z  
2022-11-23T02:04:39.7194412Z [2022-11-23 01:59:30,884] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7194570Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_308)
2022-11-23T02:04:39.7194707Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7194838Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7194934Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.7195062Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.7195209Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.7195390Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:39.7195527Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:39.7195656Z              16 CALL_FUNCTION            0
2022-11-23T02:04:39.7195800Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:39.7195931Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7196066Z              22 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7196175Z              24 BINARY_SUBSCR
2022-11-23T02:04:39.7196318Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7196558Z              28 LOAD_CONST               2 (1)
2022-11-23T02:04:39.7196681Z              30 BINARY_SUBSCR
2022-11-23T02:04:39.7196826Z              32 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7196960Z              34 LOAD_CONST               3 (2)
2022-11-23T02:04:39.7197056Z              36 BINARY_SUBSCR
2022-11-23T02:04:39.7197199Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7197326Z              40 LOAD_CONST               4 (3)
2022-11-23T02:04:39.7197438Z              42 BINARY_SUBSCR
2022-11-23T02:04:39.7197565Z              44 BUILD_TUPLE              4
2022-11-23T02:04:39.7197700Z              46 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7197846Z              48 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:39.7197959Z              50 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7198067Z              52 BINARY_SUBSCR
2022-11-23T02:04:39.7198215Z              54 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:39.7198348Z              56 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7198489Z              58 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:39.7198618Z              60 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7198730Z              62 BINARY_SUBSCR
2022-11-23T02:04:39.7198854Z              64 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:39.7198969Z              66 RETURN_VALUE
2022-11-23T02:04:39.7198989Z 
2022-11-23T02:04:39.7199080Z  
2022-11-23T02:04:39.7199344Z [2022-11-23 01:59:30,886] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7199453Z  - 
2022-11-23T02:04:39.7199622Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.7199727Z             {
2022-11-23T02:04:39.7199908Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.7200165Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.7200335Z                 'obj_weakref': None
2022-11-23T02:04:39.7200644Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.7200742Z             }
2022-11-23T02:04:39.7200838Z             
2022-11-23T02:04:39.7200943Z  - 
2022-11-23T02:04:39.7201101Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7201195Z             {
2022-11-23T02:04:39.7201391Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7201668Z                 'code': None,
2022-11-23T02:04:39.7201957Z                 'obj_weakref': <weakref at 0x7fa51c24c2c0; to 'Tensor' at 0x7fa531f7e110>
2022-11-23T02:04:39.7202299Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7202461Z             }
2022-11-23T02:04:39.7202538Z             
2022-11-23T02:04:39.7202649Z  - 
2022-11-23T02:04:39.7202833Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7202933Z             {
2022-11-23T02:04:39.7203125Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7203359Z                 'code': ['___check_obj_id(model, 140351387195792)'],
2022-11-23T02:04:39.7203528Z                 'obj_weakref': None
2022-11-23T02:04:39.7203815Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7203912Z             }
2022-11-23T02:04:39.7204009Z             
2022-11-23T02:04:39.7204115Z  - 
2022-11-23T02:04:39.7204286Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7204380Z             {
2022-11-23T02:04:39.7204569Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7204845Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7205020Z                 'obj_weakref': None
2022-11-23T02:04:39.7205323Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7205421Z             }
2022-11-23T02:04:39.7205516Z             
2022-11-23T02:04:39.7205682Z  - 
2022-11-23T02:04:39.7205943Z             local 'model.__closure__[0].cell_contents' FUNCTION_MATCH
2022-11-23T02:04:39.7206020Z             {
2022-11-23T02:04:39.7206207Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7206493Z                 'code': ['___check_obj_id(model.__closure__[0].cell_contents, 140347117821744)'],
2022-11-23T02:04:39.7206659Z                 'obj_weakref': None
2022-11-23T02:04:39.7206972Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7207068Z             }
2022-11-23T02:04:39.7207165Z             
2022-11-23T02:04:39.7207253Z  - 
2022-11-23T02:04:39.7207438Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.7207539Z             {
2022-11-23T02:04:39.7207708Z                 'guard_types': None,
2022-11-23T02:04:39.7207860Z                 'code': None,
2022-11-23T02:04:39.7208024Z                 'obj_weakref': None
2022-11-23T02:04:39.7208199Z                 'guarded_class': None
2022-11-23T02:04:39.7208278Z             }
2022-11-23T02:04:39.7208374Z             
2022-11-23T02:04:39.7208727Z [2022-11-23 01:59:30,901] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 300
2022-11-23T02:04:39.7209218Z [2022-11-23 01:59:33,526] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sp/cspeasxm2x7xrbrey7chjvu2ijn2gzdtizqxmdi2eyctfx7mrnek.py
2022-11-23T02:04:39.7209572Z [2022-11-23 01:59:33,526] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 300
2022-11-23T02:04:39.7209593Z 
2022-11-23T02:04:39.7209729Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7209834Z import torch
2022-11-23T02:04:39.7209946Z import random
2022-11-23T02:04:39.7210090Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7210263Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7210283Z 
2022-11-23T02:04:39.7210399Z aten = torch.ops.aten
2022-11-23T02:04:39.7210594Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7210732Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7210752Z 
2022-11-23T02:04:39.7210771Z 
2022-11-23T02:04:39.7210904Z async_compile.wait(globals())
2022-11-23T02:04:39.7211012Z del async_compile
2022-11-23T02:04:39.7211031Z 
2022-11-23T02:04:39.7211143Z def call(args):
2022-11-23T02:04:39.7211230Z     arg0_1, = args
2022-11-23T02:04:39.7211338Z     args.clear()
2022-11-23T02:04:39.7211599Z     return (as_strided(arg0_1, (2, 2, 3), (20, 10, 1)), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 3), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 6), as_strided(arg0_1, (2, 2, 1), (20, 10, 1), 9), )
2022-11-23T02:04:39.7211690Z 
2022-11-23T02:04:39.7211708Z 
2022-11-23T02:04:39.7211828Z if __name__ == "__main__":
2022-11-23T02:04:39.7211989Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7212159Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7221106Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7221350Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.7221373Z 
2022-11-23T02:04:39.7221393Z 
2022-11-23T02:04:39.7221546Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7221663Z import torch
2022-11-23T02:04:39.7221776Z import random
2022-11-23T02:04:39.7221922Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7222107Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7222127Z 
2022-11-23T02:04:39.7222254Z aten = torch.ops.aten
2022-11-23T02:04:39.7222454Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7222600Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7222619Z 
2022-11-23T02:04:39.7222637Z 
2022-11-23T02:04:39.7222896Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.7223190Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.7223558Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.7223702Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.7223800Z {
2022-11-23T02:04:39.7223956Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7224060Z     {
2022-11-23T02:04:39.7224184Z         #pragma omp for 
2022-11-23T02:04:39.7224312Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T02:04:39.7224418Z         {
2022-11-23T02:04:39.7224623Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.7224820Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.7224952Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7225098Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.7225201Z         }
2022-11-23T02:04:39.7225350Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.7225480Z         for(long i0=40; i0<40; i0+=1)
2022-11-23T02:04:39.7225557Z         {
2022-11-23T02:04:39.7225691Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.7225845Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.7225980Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7226105Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.7226210Z         }
2022-11-23T02:04:39.7226310Z     }
2022-11-23T02:04:39.7226383Z }
2022-11-23T02:04:39.7226516Z ''')
2022-11-23T02:04:39.7226536Z 
2022-11-23T02:04:39.7226554Z 
2022-11-23T02:04:39.7226699Z async_compile.wait(globals())
2022-11-23T02:04:39.7226817Z del async_compile
2022-11-23T02:04:39.7226836Z 
2022-11-23T02:04:39.7226951Z def call(args):
2022-11-23T02:04:39.7227068Z     arg0_1, = args
2022-11-23T02:04:39.7227184Z     args.clear()
2022-11-23T02:04:39.7227456Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7227654Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.7227766Z     del arg0_1
2022-11-23T02:04:39.7228040Z     return (as_strided(buf0, (2, 2, 3), (20, 10, 1)), as_strided(buf0, (2, 2, 3), (20, 10, 1), 3), as_strided(buf0, (2, 2, 3), (20, 10, 1), 6), as_strided(buf0, (2, 2, 1), (20, 10, 0), 9), )
2022-11-23T02:04:39.7228061Z 
2022-11-23T02:04:39.7228079Z 
2022-11-23T02:04:39.7228201Z if __name__ == "__main__":
2022-11-23T02:04:39.7228370Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7228552Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7228849Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7229015Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.7229034Z 
2022-11-23T02:04:39.7229116Z ok (2.724s)
2022-11-23T02:04:39.7229672Z   test_split_with_sizes_cpu (__main__.CpuTests) ... [2022-11-23 01:59:33,533] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.7230113Z [2022-11-23 01:59:33,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.7230420Z [2022-11-23 01:59:33,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.7230774Z [2022-11-23 01:59:33,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.7231155Z [2022-11-23 01:59:33,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7231593Z [2022-11-23 01:59:33,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7232068Z [2022-11-23 01:59:33,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7232561Z [2022-11-23 01:59:33,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7233078Z [2022-11-23 01:59:33,535] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641133e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697> 
2022-11-23T02:04:39.7233357Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7fa641133d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>)
2022-11-23T02:04:39.7233707Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T02:04:39.7233854Z                4 MAKE_FUNCTION            0
2022-11-23T02:04:39.7233998Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7234144Z                8 LOAD_METHOD              1 (split)
2022-11-23T02:04:39.7234280Z               10 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7234422Z               12 LOAD_CONST               3 (2.0)
2022-11-23T02:04:39.7234555Z               14 BINARY_MULTIPLY
2022-11-23T02:04:39.7234671Z               16 LOAD_FAST                1 (sizes)
2022-11-23T02:04:39.7234875Z               18 LOAD_CONST               4 (-1)
2022-11-23T02:04:39.7235012Z               20 CALL_METHOD              3
2022-11-23T02:04:39.7235125Z               22 GET_ITER
2022-11-23T02:04:39.7235265Z               24 CALL_FUNCTION            1
2022-11-23T02:04:39.7235386Z               26 RETURN_VALUE
2022-11-23T02:04:39.7235487Z  
2022-11-23T02:04:39.7235506Z 
2022-11-23T02:04:39.7235911Z [2022-11-23 01:59:33,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698
2022-11-23T02:04:39.7236458Z [2022-11-23 01:59:33,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fa641133d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> []
2022-11-23T02:04:39.7236946Z [2022-11-23 01:59:33,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T02:04:39.7237348Z [2022-11-23 01:59:33,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T02:04:39.7237726Z [2022-11-23 01:59:33,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T02:04:39.7238299Z [2022-11-23 01:59:33,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7238768Z [2022-11-23 01:59:33,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>)]
2022-11-23T02:04:39.7239361Z [2022-11-23 01:59:33,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>), TensorVariable()]
2022-11-23T02:04:39.7239938Z [2022-11-23 01:59:33,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.7240437Z [2022-11-23 01:59:33,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>), TensorVariable()]
2022-11-23T02:04:39.7240981Z [2022-11-23 01:59:33,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.7241579Z [2022-11-23 01:59:33,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7242039Z [2022-11-23 01:59:33,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7242473Z [2022-11-23 01:59:33,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7242972Z [2022-11-23 01:59:33,544] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fa641133d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 
2022-11-23T02:04:39.7243116Z  1698           0 BUILD_LIST               0
2022-11-23T02:04:39.7243258Z                2 LOAD_FAST                0 (.0)
2022-11-23T02:04:39.7243409Z          >>    4 FOR_ITER                 6 (to 18)
2022-11-23T02:04:39.7243551Z                6 STORE_FAST               1 (t)
2022-11-23T02:04:39.7243688Z                8 LOAD_FAST                1 (t)
2022-11-23T02:04:39.7243831Z               10 LOAD_CONST               0 (1.0)
2022-11-23T02:04:39.7243952Z               12 BINARY_ADD
2022-11-23T02:04:39.7244065Z               14 LIST_APPEND              2
2022-11-23T02:04:39.7244212Z               16 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T02:04:39.7244335Z          >>   18 RETURN_VALUE
2022-11-23T02:04:39.7244434Z  
2022-11-23T02:04:39.7244453Z 
2022-11-23T02:04:39.7244751Z [2022-11-23 01:59:33,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T02:04:39.7245079Z [2022-11-23 01:59:33,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T02:04:39.7245461Z [2022-11-23 01:59:33,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7245878Z [2022-11-23 01:59:33,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7246233Z [2022-11-23 01:59:33,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7246651Z [2022-11-23 01:59:33,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7247127Z [2022-11-23 01:59:33,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.7247544Z [2022-11-23 01:59:33,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7247930Z [2022-11-23 01:59:33,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7248381Z [2022-11-23 01:59:33,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7248804Z [2022-11-23 01:59:33,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7249176Z [2022-11-23 01:59:33,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7249592Z [2022-11-23 01:59:33,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7250069Z [2022-11-23 01:59:33,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.7250465Z [2022-11-23 01:59:33,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7250856Z [2022-11-23 01:59:33,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7251293Z [2022-11-23 01:59:33,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7251723Z [2022-11-23 01:59:33,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7252094Z [2022-11-23 01:59:33,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7252514Z [2022-11-23 01:59:33,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7252986Z [2022-11-23 01:59:33,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.7253403Z [2022-11-23 01:59:33,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7253791Z [2022-11-23 01:59:33,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7254170Z [2022-11-23 01:59:33,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7254507Z [2022-11-23 01:59:33,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T02:04:39.7255009Z [2022-11-23 01:59:33,554] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fa641133d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>
2022-11-23T02:04:39.7255343Z [2022-11-23 01:59:33,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T02:04:39.7255854Z [2022-11-23 01:59:33,554] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641133e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697>
2022-11-23T02:04:39.7256933Z [2022-11-23 01:59:33,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T02:04:39.7257535Z [2022-11-23 01:59:33,554] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.7258144Z [2022-11-23 01:59:33,557] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.7258566Z [2022-11-23 01:59:33,567] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.7258832Z [2022-11-23 01:59:33,567] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7259033Z  __compiled_fn_309 <eval_with_key>.2328 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7259146Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.7259579Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T02:04:39.7259868Z call_function, split, <function split at 0x7fa55b499000>, (mul, [3, 3, 4], -1), {}
2022-11-23T02:04:39.7260137Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T02:04:39.7260412Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T02:04:39.7260679Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T02:04:39.7260933Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T02:04:39.7261191Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T02:04:39.7261419Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T02:04:39.7261583Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T02:04:39.7261607Z 
2022-11-23T02:04:39.7262061Z [2022-11-23 01:59:33,568] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7262208Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7262347Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7262457Z               4 BUILD_MAP                0
2022-11-23T02:04:39.7262741Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.7262880Z               8 DICT_MERGE               1
2022-11-23T02:04:39.7263014Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.7263133Z              12 RETURN_VALUE
2022-11-23T02:04:39.7263153Z 
2022-11-23T02:04:39.7263252Z  
2022-11-23T02:04:39.7263693Z [2022-11-23 01:59:33,568] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7263857Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_309)
2022-11-23T02:04:39.7263971Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7264106Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7264230Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.7264444Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.7264598Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.7264757Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7264895Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7264989Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.7265144Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7265275Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.7265392Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.7265540Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7265675Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.7265792Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.7265898Z              30 BUILD_LIST               3
2022-11-23T02:04:39.7266013Z              32 RETURN_VALUE
2022-11-23T02:04:39.7266037Z 
2022-11-23T02:04:39.7266134Z  
2022-11-23T02:04:39.7266397Z [2022-11-23 01:59:33,570] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7266509Z  - 
2022-11-23T02:04:39.7266685Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.7266790Z             {
2022-11-23T02:04:39.7266968Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.7267228Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.7267396Z                 'obj_weakref': None
2022-11-23T02:04:39.7267709Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.7267810Z             }
2022-11-23T02:04:39.7267912Z             
2022-11-23T02:04:39.7268019Z  - 
2022-11-23T02:04:39.7268203Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7268281Z             {
2022-11-23T02:04:39.7268484Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7268741Z                 'code': None,
2022-11-23T02:04:39.7269036Z                 'obj_weakref': <weakref at 0x7fa51c2ad260; to 'Tensor' at 0x7fa5504825c0>
2022-11-23T02:04:39.7269385Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7269487Z             }
2022-11-23T02:04:39.7269588Z             
2022-11-23T02:04:39.7269674Z  - 
2022-11-23T02:04:39.7269859Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T02:04:39.7269958Z             {
2022-11-23T02:04:39.7270197Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:39.7270710Z                 'code': ['___check_type_id(ex[1], 93849050132032)', 'len(ex[1]) == 3', '___check_type_id(ex[1][0], 93849050129792)', '___check_type_id(ex[1][1], 93849050129792)', '___check_type_id(ex[1][2], 93849050129792)', 'ex[1] == [3, 3, 4]'],
2022-11-23T02:04:39.7270888Z                 'obj_weakref': None
2022-11-23T02:04:39.7271196Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:39.7271279Z             }
2022-11-23T02:04:39.7271381Z             
2022-11-23T02:04:39.7271491Z  - 
2022-11-23T02:04:39.7271678Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7271830Z             {
2022-11-23T02:04:39.7272028Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7272264Z                 'code': ['___check_obj_id(model, 140351387195792)'],
2022-11-23T02:04:39.7272412Z                 'obj_weakref': None
2022-11-23T02:04:39.7272725Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7272826Z             }
2022-11-23T02:04:39.7272929Z             
2022-11-23T02:04:39.7273038Z  - 
2022-11-23T02:04:39.7273219Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7273326Z             {
2022-11-23T02:04:39.7273497Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7273790Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7273967Z                 'obj_weakref': None
2022-11-23T02:04:39.7274267Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7274370Z             }
2022-11-23T02:04:39.7274477Z             
2022-11-23T02:04:39.7274587Z  - 
2022-11-23T02:04:39.7274756Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T02:04:39.7274857Z             {
2022-11-23T02:04:39.7275059Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.7275327Z                 'code': ['___check_type_id(ex[1][0], 93849050129792)', 'ex[1][0] == 3'],
2022-11-23T02:04:39.7275500Z                 'obj_weakref': None
2022-11-23T02:04:39.7275806Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.7275905Z             }
2022-11-23T02:04:39.7275983Z             
2022-11-23T02:04:39.7276093Z  - 
2022-11-23T02:04:39.7276296Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T02:04:39.7276397Z             {
2022-11-23T02:04:39.7276601Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.7276869Z                 'code': ['___check_type_id(ex[1][1], 93849050129792)', 'ex[1][1] == 3'],
2022-11-23T02:04:39.7277048Z                 'obj_weakref': None
2022-11-23T02:04:39.7277326Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.7277430Z             }
2022-11-23T02:04:39.7277529Z             
2022-11-23T02:04:39.7277641Z  - 
2022-11-23T02:04:39.7277833Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T02:04:39.7277932Z             {
2022-11-23T02:04:39.7278133Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.7278374Z                 'code': ['___check_type_id(ex[1][2], 93849050129792)', 'ex[1][2] == 4'],
2022-11-23T02:04:39.7278547Z                 'obj_weakref': None
2022-11-23T02:04:39.7278848Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.7279012Z             }
2022-11-23T02:04:39.7279114Z             
2022-11-23T02:04:39.7279231Z  - 
2022-11-23T02:04:39.7279421Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.7279502Z             {
2022-11-23T02:04:39.7279680Z                 'guard_types': None,
2022-11-23T02:04:39.7279838Z                 'code': None,
2022-11-23T02:04:39.7280011Z                 'obj_weakref': None
2022-11-23T02:04:39.7280187Z                 'guarded_class': None
2022-11-23T02:04:39.7280285Z             }
2022-11-23T02:04:39.7280389Z             
2022-11-23T02:04:39.7280725Z [2022-11-23 01:59:33,587] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 301
2022-11-23T02:04:39.7281221Z [2022-11-23 01:59:36,308] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hb/chblhbfrhvzplh36wg7i452syw7vlberu3f35k6mesh7smfx2ssz.py
2022-11-23T02:04:39.7281589Z [2022-11-23 01:59:36,308] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 301
2022-11-23T02:04:39.7281915Z [2022-11-23 01:59:36,313] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.7282439Z [2022-11-23 01:59:36,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.7282746Z [2022-11-23 01:59:36,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.7283097Z [2022-11-23 01:59:36,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.7283478Z [2022-11-23 01:59:36,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7283908Z [2022-11-23 01:59:36,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7284382Z [2022-11-23 01:59:36,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7284801Z [2022-11-23 01:59:36,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7285306Z [2022-11-23 01:59:36,315] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641133e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697> 
2022-11-23T02:04:39.7285617Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7fa641133d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>)
2022-11-23T02:04:39.7285961Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T02:04:39.7286098Z                4 MAKE_FUNCTION            0
2022-11-23T02:04:39.7286248Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7286445Z                8 LOAD_METHOD              1 (split)
2022-11-23T02:04:39.7286584Z               10 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7286727Z               12 LOAD_CONST               3 (2.0)
2022-11-23T02:04:39.7286830Z               14 BINARY_MULTIPLY
2022-11-23T02:04:39.7286969Z               16 LOAD_FAST                1 (sizes)
2022-11-23T02:04:39.7287173Z               18 LOAD_CONST               4 (-1)
2022-11-23T02:04:39.7287302Z               20 CALL_METHOD              3
2022-11-23T02:04:39.7287412Z               22 GET_ITER
2022-11-23T02:04:39.7287547Z               24 CALL_FUNCTION            1
2022-11-23T02:04:39.7287667Z               26 RETURN_VALUE
2022-11-23T02:04:39.7287742Z  
2022-11-23T02:04:39.7287763Z 
2022-11-23T02:04:39.7288190Z [2022-11-23 01:59:36,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698
2022-11-23T02:04:39.7288809Z [2022-11-23 01:59:36,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fa641133d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> []
2022-11-23T02:04:39.7289293Z [2022-11-23 01:59:36,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T02:04:39.7289694Z [2022-11-23 01:59:36,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T02:04:39.7290069Z [2022-11-23 01:59:36,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T02:04:39.7290646Z [2022-11-23 01:59:36,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7291123Z [2022-11-23 01:59:36,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>)]
2022-11-23T02:04:39.7291678Z [2022-11-23 01:59:36,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>), TensorVariable()]
2022-11-23T02:04:39.7292270Z [2022-11-23 01:59:36,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.7292779Z [2022-11-23 01:59:36,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>), TensorVariable()]
2022-11-23T02:04:39.7293315Z [2022-11-23 01:59:36,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.7293898Z [2022-11-23 01:59:36,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7294298Z [2022-11-23 01:59:36,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7294718Z [2022-11-23 01:59:36,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7295241Z [2022-11-23 01:59:36,325] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fa641133d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 
2022-11-23T02:04:39.7295380Z  1698           0 BUILD_LIST               0
2022-11-23T02:04:39.7295518Z                2 LOAD_FAST                0 (.0)
2022-11-23T02:04:39.7295664Z          >>    4 FOR_ITER                 6 (to 18)
2022-11-23T02:04:39.7295804Z                6 STORE_FAST               1 (t)
2022-11-23T02:04:39.7295943Z                8 LOAD_FAST                1 (t)
2022-11-23T02:04:39.7296565Z               10 LOAD_CONST               0 (1.0)
2022-11-23T02:04:39.7296782Z               12 BINARY_ADD
2022-11-23T02:04:39.7297002Z               14 LIST_APPEND              2
2022-11-23T02:04:39.7297238Z               16 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T02:04:39.7297420Z          >>   18 RETURN_VALUE
2022-11-23T02:04:39.7297580Z  
2022-11-23T02:04:39.7297612Z 
2022-11-23T02:04:39.7298125Z [2022-11-23 01:59:36,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T02:04:39.7298435Z [2022-11-23 01:59:36,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T02:04:39.7298812Z [2022-11-23 01:59:36,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7299411Z [2022-11-23 01:59:36,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7299793Z [2022-11-23 01:59:36,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7300211Z [2022-11-23 01:59:36,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7300682Z [2022-11-23 01:59:36,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.7301097Z [2022-11-23 01:59:36,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7301482Z [2022-11-23 01:59:36,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7301859Z [2022-11-23 01:59:36,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7302335Z [2022-11-23 01:59:36,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7302712Z [2022-11-23 01:59:36,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7303101Z [2022-11-23 01:59:36,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7303568Z [2022-11-23 01:59:36,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.7303980Z [2022-11-23 01:59:36,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7304363Z [2022-11-23 01:59:36,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7304734Z [2022-11-23 01:59:36,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7305139Z [2022-11-23 01:59:36,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7305506Z [2022-11-23 01:59:36,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7305916Z [2022-11-23 01:59:36,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7306450Z [2022-11-23 01:59:36,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.7306870Z [2022-11-23 01:59:36,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7307250Z [2022-11-23 01:59:36,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7307598Z [2022-11-23 01:59:36,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7307930Z [2022-11-23 01:59:36,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T02:04:39.7308455Z [2022-11-23 01:59:36,334] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fa641133d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>
2022-11-23T02:04:39.7308784Z [2022-11-23 01:59:36,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T02:04:39.7309359Z [2022-11-23 01:59:36,334] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641133e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697>
2022-11-23T02:04:39.7309696Z [2022-11-23 01:59:36,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T02:04:39.7310020Z [2022-11-23 01:59:36,334] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.7310375Z [2022-11-23 01:59:36,337] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.7310721Z [2022-11-23 01:59:36,347] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.7310990Z [2022-11-23 01:59:36,348] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7311163Z  __compiled_fn_310 <eval_with_key>.2334 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7311302Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.7311549Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T02:04:39.7311838Z call_function, split, <function split at 0x7fa55b499000>, (mul, [4, 3, 3], -1), {}
2022-11-23T02:04:39.7312159Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T02:04:39.7312433Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T02:04:39.7312697Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T02:04:39.7312926Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T02:04:39.7313183Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T02:04:39.7313436Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T02:04:39.7313603Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T02:04:39.7313629Z 
2022-11-23T02:04:39.7314083Z [2022-11-23 01:59:36,348] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7314230Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7314372Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7314508Z               4 BUILD_MAP                0
2022-11-23T02:04:39.7314624Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.7314753Z               8 DICT_MERGE               1
2022-11-23T02:04:39.7314883Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.7315003Z              12 RETURN_VALUE
2022-11-23T02:04:39.7315024Z 
2022-11-23T02:04:39.7315118Z  
2022-11-23T02:04:39.7315553Z [2022-11-23 01:59:36,349] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7315713Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_310)
2022-11-23T02:04:39.7315849Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7315964Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7316085Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.7316217Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.7316370Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.7316528Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7316666Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7316786Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.7316912Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7317049Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.7317167Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.7317317Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7317451Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.7317569Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.7317700Z              30 BUILD_LIST               3
2022-11-23T02:04:39.7317867Z              32 RETURN_VALUE
2022-11-23T02:04:39.7317913Z 
2022-11-23T02:04:39.7317986Z  
2022-11-23T02:04:39.7318250Z [2022-11-23 01:59:36,351] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7318366Z  - 
2022-11-23T02:04:39.7318543Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.7318645Z             {
2022-11-23T02:04:39.7318847Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.7319108Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.7319260Z                 'obj_weakref': None
2022-11-23T02:04:39.7319575Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.7319682Z             }
2022-11-23T02:04:39.7319778Z             
2022-11-23T02:04:39.7319886Z  - 
2022-11-23T02:04:39.7320065Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7320144Z             {
2022-11-23T02:04:39.7320350Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7320513Z                 'code': None,
2022-11-23T02:04:39.7320811Z                 'obj_weakref': <weakref at 0x7fa51c2acbd0; to 'Tensor' at 0x7fa531f7e110>
2022-11-23T02:04:39.7321220Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7321326Z             }
2022-11-23T02:04:39.7321429Z             
2022-11-23T02:04:39.7321539Z  - 
2022-11-23T02:04:39.7321695Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T02:04:39.7321795Z             {
2022-11-23T02:04:39.7322034Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:39.7322550Z                 'code': ['___check_type_id(ex[1], 93849050132032)', 'len(ex[1]) == 3', '___check_type_id(ex[1][0], 93849050129792)', '___check_type_id(ex[1][1], 93849050129792)', '___check_type_id(ex[1][2], 93849050129792)', 'ex[1] == [4, 3, 3]'],
2022-11-23T02:04:39.7322726Z                 'obj_weakref': None
2022-11-23T02:04:39.7323039Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:39.7323141Z             }
2022-11-23T02:04:39.7323217Z             
2022-11-23T02:04:39.7323327Z  - 
2022-11-23T02:04:39.7323520Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7323623Z             {
2022-11-23T02:04:39.7323817Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7324053Z                 'code': ['___check_obj_id(model, 140351387195792)'],
2022-11-23T02:04:39.7324224Z                 'obj_weakref': None
2022-11-23T02:04:39.7324513Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7324620Z             }
2022-11-23T02:04:39.7324722Z             
2022-11-23T02:04:39.7324831Z  - 
2022-11-23T02:04:39.7325005Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7325108Z             {
2022-11-23T02:04:39.7325299Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7325577Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7325745Z                 'obj_weakref': None
2022-11-23T02:04:39.7326049Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7326155Z             }
2022-11-23T02:04:39.7326254Z             
2022-11-23T02:04:39.7326367Z  - 
2022-11-23T02:04:39.7326560Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T02:04:39.7326637Z             {
2022-11-23T02:04:39.7326841Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.7327105Z                 'code': ['___check_type_id(ex[1][0], 93849050129792)', 'ex[1][0] == 4'],
2022-11-23T02:04:39.7327277Z                 'obj_weakref': None
2022-11-23T02:04:39.7327583Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.7327689Z             }
2022-11-23T02:04:39.7327788Z             
2022-11-23T02:04:39.7327949Z  - 
2022-11-23T02:04:39.7328144Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T02:04:39.7328245Z             {
2022-11-23T02:04:39.7328447Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.7328722Z                 'code': ['___check_type_id(ex[1][1], 93849050129792)', 'ex[1][1] == 3'],
2022-11-23T02:04:39.7328895Z                 'obj_weakref': None
2022-11-23T02:04:39.7329195Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.7329272Z             }
2022-11-23T02:04:39.7329373Z             
2022-11-23T02:04:39.7329479Z  - 
2022-11-23T02:04:39.7329677Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T02:04:39.7329778Z             {
2022-11-23T02:04:39.7329982Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.7330254Z                 'code': ['___check_type_id(ex[1][2], 93849050129792)', 'ex[1][2] == 3'],
2022-11-23T02:04:39.7330403Z                 'obj_weakref': None
2022-11-23T02:04:39.7330714Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.7330813Z             }
2022-11-23T02:04:39.7330916Z             
2022-11-23T02:04:39.7331029Z  - 
2022-11-23T02:04:39.7331285Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.7331392Z             {
2022-11-23T02:04:39.7331548Z                 'guard_types': None,
2022-11-23T02:04:39.7331701Z                 'code': None,
2022-11-23T02:04:39.7331870Z                 'obj_weakref': None
2022-11-23T02:04:39.7332045Z                 'guarded_class': None
2022-11-23T02:04:39.7332145Z             }
2022-11-23T02:04:39.7332242Z             
2022-11-23T02:04:39.7332604Z [2022-11-23 01:59:36,368] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 302
2022-11-23T02:04:39.7333078Z [2022-11-23 01:59:39,075] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wi/cwikjrmc23hh3kie2ohrswhxvm3zrtaoehpea5eidr6xy4eo3ddv.py
2022-11-23T02:04:39.7333449Z [2022-11-23 01:59:39,075] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 302
2022-11-23T02:04:39.7333776Z [2022-11-23 01:59:39,081] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.7334204Z [2022-11-23 01:59:39,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.7334505Z [2022-11-23 01:59:39,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.7334847Z [2022-11-23 01:59:39,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.7335222Z [2022-11-23 01:59:39,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7335659Z [2022-11-23 01:59:39,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7336941Z [2022-11-23 01:59:39,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7337574Z [2022-11-23 01:59:39,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7338057Z [2022-11-23 01:59:39,082] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641133e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697> 
2022-11-23T02:04:39.7338355Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7fa641133d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>)
2022-11-23T02:04:39.7338703Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T02:04:39.7338842Z                4 MAKE_FUNCTION            0
2022-11-23T02:04:39.7339185Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7339328Z                8 LOAD_METHOD              1 (split)
2022-11-23T02:04:39.7339465Z               10 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7339608Z               12 LOAD_CONST               3 (2.0)
2022-11-23T02:04:39.7339736Z               14 BINARY_MULTIPLY
2022-11-23T02:04:39.7339849Z               16 LOAD_FAST                1 (sizes)
2022-11-23T02:04:39.7340052Z               18 LOAD_CONST               4 (-1)
2022-11-23T02:04:39.7340188Z               20 CALL_METHOD              3
2022-11-23T02:04:39.7340298Z               22 GET_ITER
2022-11-23T02:04:39.7340436Z               24 CALL_FUNCTION            1
2022-11-23T02:04:39.7340558Z               26 RETURN_VALUE
2022-11-23T02:04:39.7340655Z  
2022-11-23T02:04:39.7340677Z 
2022-11-23T02:04:39.7341082Z [2022-11-23 01:59:39,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698
2022-11-23T02:04:39.7341620Z [2022-11-23 01:59:39,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fa641133d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> []
2022-11-23T02:04:39.7342169Z [2022-11-23 01:59:39,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T02:04:39.7342654Z [2022-11-23 01:59:39,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T02:04:39.7343032Z [2022-11-23 01:59:39,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T02:04:39.7343595Z [2022-11-23 01:59:39,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7344060Z [2022-11-23 01:59:39,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>)]
2022-11-23T02:04:39.7344561Z [2022-11-23 01:59:39,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>), TensorVariable()]
2022-11-23T02:04:39.7345143Z [2022-11-23 01:59:39,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.7345647Z [2022-11-23 01:59:39,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>), TensorVariable()]
2022-11-23T02:04:39.7346180Z [2022-11-23 01:59:39,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.7346762Z [2022-11-23 01:59:39,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7fa55b499000>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7347160Z [2022-11-23 01:59:39,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7347560Z [2022-11-23 01:59:39,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7348080Z [2022-11-23 01:59:39,094] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fa641133d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 
2022-11-23T02:04:39.7348220Z  1698           0 BUILD_LIST               0
2022-11-23T02:04:39.7348415Z                2 LOAD_FAST                0 (.0)
2022-11-23T02:04:39.7348555Z          >>    4 FOR_ITER                 6 (to 18)
2022-11-23T02:04:39.7348695Z                6 STORE_FAST               1 (t)
2022-11-23T02:04:39.7348833Z                8 LOAD_FAST                1 (t)
2022-11-23T02:04:39.7348972Z               10 LOAD_CONST               0 (1.0)
2022-11-23T02:04:39.7349063Z               12 BINARY_ADD
2022-11-23T02:04:39.7349198Z               14 LIST_APPEND              2
2022-11-23T02:04:39.7349337Z               16 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T02:04:39.7349464Z          >>   18 RETURN_VALUE
2022-11-23T02:04:39.7349561Z  
2022-11-23T02:04:39.7349580Z 
2022-11-23T02:04:39.7349878Z [2022-11-23 01:59:39,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T02:04:39.7350201Z [2022-11-23 01:59:39,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T02:04:39.7350574Z [2022-11-23 01:59:39,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7350969Z [2022-11-23 01:59:39,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7351390Z [2022-11-23 01:59:39,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7351811Z [2022-11-23 01:59:39,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7352283Z [2022-11-23 01:59:39,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.7352698Z [2022-11-23 01:59:39,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7353081Z [2022-11-23 01:59:39,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7353453Z [2022-11-23 01:59:39,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7353860Z [2022-11-23 01:59:39,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7354227Z [2022-11-23 01:59:39,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7354640Z [2022-11-23 01:59:39,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7355106Z [2022-11-23 01:59:39,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.7355494Z [2022-11-23 01:59:39,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7355879Z [2022-11-23 01:59:39,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7356253Z [2022-11-23 01:59:39,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7356663Z [2022-11-23 01:59:39,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7357033Z [2022-11-23 01:59:39,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7357450Z [2022-11-23 01:59:39,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7357914Z [2022-11-23 01:59:39,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.7358395Z [2022-11-23 01:59:39,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7358783Z [2022-11-23 01:59:39,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7359154Z [2022-11-23 01:59:39,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7359543Z [2022-11-23 01:59:39,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7359914Z [2022-11-23 01:59:39,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7360324Z [2022-11-23 01:59:39,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7360833Z [2022-11-23 01:59:39,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.7361295Z [2022-11-23 01:59:39,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T02:04:39.7361681Z [2022-11-23 01:59:39,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7362050Z [2022-11-23 01:59:39,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T02:04:39.7362385Z [2022-11-23 01:59:39,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T02:04:39.7362920Z [2022-11-23 01:59:39,105] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fa641133d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>
2022-11-23T02:04:39.7363266Z [2022-11-23 01:59:39,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T02:04:39.7363782Z [2022-11-23 01:59:39,105] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641133e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697>
2022-11-23T02:04:39.7364095Z [2022-11-23 01:59:39,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T02:04:39.7364421Z [2022-11-23 01:59:39,106] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.7364779Z [2022-11-23 01:59:39,108] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.7365130Z [2022-11-23 01:59:39,120] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.7365410Z [2022-11-23 01:59:39,121] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7365609Z  __compiled_fn_311 <eval_with_key>.2340 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7365745Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.7365999Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T02:04:39.7366272Z call_function, split, <function split at 0x7fa55b499000>, (mul, [1, 2, 3, 4], -1), {}
2022-11-23T02:04:39.7366534Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T02:04:39.7366802Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T02:04:39.7367065Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T02:04:39.7367323Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T02:04:39.7367573Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T02:04:39.7367827Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T02:04:39.7368168Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T02:04:39.7368398Z call_function, add_3, <built-in function add>, (getitem_3, 1.0), {}
2022-11-23T02:04:39.7368576Z output, output, output, ((add, add_1, add_2, add_3),), {}
2022-11-23T02:04:39.7368596Z 
2022-11-23T02:04:39.7369048Z [2022-11-23 01:59:39,121] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7369193Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7369334Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7369467Z               4 BUILD_MAP                0
2022-11-23T02:04:39.7369607Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.7369736Z               8 DICT_MERGE               1
2022-11-23T02:04:39.7369846Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.7369963Z              12 RETURN_VALUE
2022-11-23T02:04:39.7369987Z 
2022-11-23T02:04:39.7370086Z  
2022-11-23T02:04:39.7370527Z [2022-11-23 01:59:39,122] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7370776Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_311)
2022-11-23T02:04:39.7370919Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7371060Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7371180Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.7371289Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.7371444Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.7371598Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7371735Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7371857Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.7372008Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7372148Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.7372242Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.7372390Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7372525Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.7372642Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.7372787Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7372918Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:39.7373035Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.7373140Z              36 BUILD_LIST               4
2022-11-23T02:04:39.7373256Z              38 RETURN_VALUE
2022-11-23T02:04:39.7373277Z 
2022-11-23T02:04:39.7373371Z  
2022-11-23T02:04:39.7373639Z [2022-11-23 01:59:39,124] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7373752Z  - 
2022-11-23T02:04:39.7373928Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.7374032Z             {
2022-11-23T02:04:39.7374215Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.7374478Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.7374652Z                 'obj_weakref': None
2022-11-23T02:04:39.7374968Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.7375074Z             }
2022-11-23T02:04:39.7375174Z             
2022-11-23T02:04:39.7375286Z  - 
2022-11-23T02:04:39.7375446Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7375547Z             {
2022-11-23T02:04:39.7375752Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7375909Z                 'code': None,
2022-11-23T02:04:39.7376850Z                 'obj_weakref': <weakref at 0x7fa51c24e020; to 'Tensor' at 0x7fa531f7e110>
2022-11-23T02:04:39.7377466Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7377851Z             }
2022-11-23T02:04:39.7377983Z             
2022-11-23T02:04:39.7378112Z  - 
2022-11-23T02:04:39.7378293Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T02:04:39.7378394Z             {
2022-11-23T02:04:39.7378639Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:39.7379229Z                 'code': ['___check_type_id(ex[1], 93849050132032)', 'len(ex[1]) == 4', '___check_type_id(ex[1][0], 93849050129792)', '___check_type_id(ex[1][1], 93849050129792)', '___check_type_id(ex[1][2], 93849050129792)', '___check_type_id(ex[1][3], 93849050129792)', 'ex[1] == [1, 2, 3, 4]'],
2022-11-23T02:04:39.7379404Z                 'obj_weakref': None
2022-11-23T02:04:39.7379714Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:39.7379794Z             }
2022-11-23T02:04:39.7379898Z             
2022-11-23T02:04:39.7380008Z  - 
2022-11-23T02:04:39.7380193Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7380299Z             {
2022-11-23T02:04:39.7380491Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7380727Z                 'code': ['___check_obj_id(model, 140351387195792)'],
2022-11-23T02:04:39.7380875Z                 'obj_weakref': None
2022-11-23T02:04:39.7381272Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7381384Z             }
2022-11-23T02:04:39.7381483Z             
2022-11-23T02:04:39.7381594Z  - 
2022-11-23T02:04:39.7381771Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7381875Z             {
2022-11-23T02:04:39.7382046Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7382340Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7382512Z                 'obj_weakref': None
2022-11-23T02:04:39.7382814Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7382922Z             }
2022-11-23T02:04:39.7383024Z             
2022-11-23T02:04:39.7383133Z  - 
2022-11-23T02:04:39.7383302Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T02:04:39.7383408Z             {
2022-11-23T02:04:39.7383609Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.7383878Z                 'code': ['___check_type_id(ex[1][0], 93849050129792)', 'ex[1][0] == 1'],
2022-11-23T02:04:39.7384048Z                 'obj_weakref': None
2022-11-23T02:04:39.7384353Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.7384457Z             }
2022-11-23T02:04:39.7384533Z             
2022-11-23T02:04:39.7384639Z  - 
2022-11-23T02:04:39.7384830Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T02:04:39.7384932Z             {
2022-11-23T02:04:39.7385133Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.7385397Z                 'code': ['___check_type_id(ex[1][1], 93849050129792)', 'ex[1][1] == 2'],
2022-11-23T02:04:39.7385577Z                 'obj_weakref': None
2022-11-23T02:04:39.7385854Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.7385954Z             }
2022-11-23T02:04:39.7386055Z             
2022-11-23T02:04:39.7386169Z  - 
2022-11-23T02:04:39.7386363Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T02:04:39.7386512Z             {
2022-11-23T02:04:39.7386720Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.7386961Z                 'code': ['___check_type_id(ex[1][2], 93849050129792)', 'ex[1][2] == 3'],
2022-11-23T02:04:39.7387133Z                 'obj_weakref': None
2022-11-23T02:04:39.7387436Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.7387537Z             }
2022-11-23T02:04:39.7387636Z             
2022-11-23T02:04:39.7387746Z  - 
2022-11-23T02:04:39.7387937Z             local 'ex[1][3]' CONSTANT_MATCH
2022-11-23T02:04:39.7388079Z             {
2022-11-23T02:04:39.7388284Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.7388554Z                 'code': ['___check_type_id(ex[1][3], 93849050129792)', 'ex[1][3] == 4'],
2022-11-23T02:04:39.7388722Z                 'obj_weakref': None
2022-11-23T02:04:39.7389027Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:39.7389128Z             }
2022-11-23T02:04:39.7389234Z             
2022-11-23T02:04:39.7389319Z  - 
2022-11-23T02:04:39.7389512Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.7389612Z             {
2022-11-23T02:04:39.7389789Z                 'guard_types': None,
2022-11-23T02:04:39.7389942Z                 'code': None,
2022-11-23T02:04:39.7390111Z                 'obj_weakref': None
2022-11-23T02:04:39.7390285Z                 'guarded_class': None
2022-11-23T02:04:39.7390361Z             }
2022-11-23T02:04:39.7390463Z             
2022-11-23T02:04:39.7390825Z [2022-11-23 01:59:39,145] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 303
2022-11-23T02:04:39.7390851Z 
2022-11-23T02:04:39.7390992Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7391104Z import torch
2022-11-23T02:04:39.7391213Z import random
2022-11-23T02:04:39.7391438Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7391599Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7391620Z 
2022-11-23T02:04:39.7391743Z aten = torch.ops.aten
2022-11-23T02:04:39.7391936Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7392079Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7392098Z 
2022-11-23T02:04:39.7392117Z 
2022-11-23T02:04:39.7392315Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.7392597Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.7392769Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.7392921Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.7393040Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.7393182Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.7393279Z {
2022-11-23T02:04:39.7393427Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7393527Z     {
2022-11-23T02:04:39.7393652Z         #pragma omp for 
2022-11-23T02:04:39.7393777Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.7393853Z         {
2022-11-23T02:04:39.7393975Z             #pragma GCC ivdep
2022-11-23T02:04:39.7394103Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:39.7394199Z             {
2022-11-23T02:04:39.7394297Z                 {
2022-11-23T02:04:39.7394402Z                     {
2022-11-23T02:04:39.7394559Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T02:04:39.7394698Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T02:04:39.7394845Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.7395006Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T02:04:39.7395147Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.7395291Z                         out_ptr0[i1 + (3*i0)] = tmp4;
2022-11-23T02:04:39.7395402Z                     }
2022-11-23T02:04:39.7395506Z                 }
2022-11-23T02:04:39.7395583Z             }
2022-11-23T02:04:39.7395682Z         }
2022-11-23T02:04:39.7395802Z         #pragma omp for 
2022-11-23T02:04:39.7395927Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.7396031Z         {
2022-11-23T02:04:39.7396154Z             #pragma GCC ivdep
2022-11-23T02:04:39.7396256Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:39.7396353Z             {
2022-11-23T02:04:39.7396454Z                 {
2022-11-23T02:04:39.7396558Z                     {
2022-11-23T02:04:39.7396712Z                         auto tmp0 = in_ptr0[3 + i1 + (10*i0)];
2022-11-23T02:04:39.7396969Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T02:04:39.7397107Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.7397242Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T02:04:39.7397386Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.7397531Z                         out_ptr1[i1 + (3*i0)] = tmp4;
2022-11-23T02:04:39.7397636Z                     }
2022-11-23T02:04:39.7397740Z                 }
2022-11-23T02:04:39.7397840Z             }
2022-11-23T02:04:39.7397943Z         }
2022-11-23T02:04:39.7398039Z         #pragma omp for 
2022-11-23T02:04:39.7398170Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.7398272Z         {
2022-11-23T02:04:39.7398394Z             #pragma GCC ivdep
2022-11-23T02:04:39.7398523Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.7398625Z             {
2022-11-23T02:04:39.7398727Z                 {
2022-11-23T02:04:39.7398807Z                     {
2022-11-23T02:04:39.7398970Z                         auto tmp0 = in_ptr0[6 + i1 + (10*i0)];
2022-11-23T02:04:39.7399125Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T02:04:39.7399263Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.7399473Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T02:04:39.7399621Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.7399766Z                         out_ptr2[i1 + (4*i0)] = tmp4;
2022-11-23T02:04:39.7399846Z                     }
2022-11-23T02:04:39.7399955Z                 }
2022-11-23T02:04:39.7400055Z             }
2022-11-23T02:04:39.7400158Z         }
2022-11-23T02:04:39.7400256Z     }
2022-11-23T02:04:39.7400350Z }
2022-11-23T02:04:39.7400493Z ''')
2022-11-23T02:04:39.7400514Z 
2022-11-23T02:04:39.7400533Z 
2022-11-23T02:04:39.7400647Z async_compile.wait(globals())
2022-11-23T02:04:39.7400763Z del async_compile
2022-11-23T02:04:39.7400783Z 
2022-11-23T02:04:39.7400892Z def call(args):
2022-11-23T02:04:39.7401009Z     arg0_1, = args
2022-11-23T02:04:39.7401120Z     args.clear()
2022-11-23T02:04:39.7401408Z     buf0 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7401687Z     buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7401945Z     buf2 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7402213Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.7402322Z     del arg0_1
2022-11-23T02:04:39.7402448Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:39.7402467Z 
2022-11-23T02:04:39.7402486Z 
2022-11-23T02:04:39.7402605Z if __name__ == "__main__":
2022-11-23T02:04:39.7402773Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7402954Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7403236Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7403401Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.7403419Z 
2022-11-23T02:04:39.7403437Z 
2022-11-23T02:04:39.7403554Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7403665Z import torch
2022-11-23T02:04:39.7403781Z import random
2022-11-23T02:04:39.7403950Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7404124Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7404143Z 
2022-11-23T02:04:39.7404271Z aten = torch.ops.aten
2022-11-23T02:04:39.7404464Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7404578Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7404620Z 
2022-11-23T02:04:39.7404638Z 
2022-11-23T02:04:39.7404812Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.7405101Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.7405273Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.7405503Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.7405648Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.7405790Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.7405894Z {
2022-11-23T02:04:39.7406018Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7406118Z     {
2022-11-23T02:04:39.7406237Z         #pragma omp for 
2022-11-23T02:04:39.7406363Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.7406461Z         {
2022-11-23T02:04:39.7406583Z             #pragma GCC ivdep
2022-11-23T02:04:39.7406708Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.7406786Z             {
2022-11-23T02:04:39.7406891Z                 {
2022-11-23T02:04:39.7406996Z                     {
2022-11-23T02:04:39.7407149Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T02:04:39.7407311Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T02:04:39.7407460Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.7407622Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T02:04:39.7407741Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.7407936Z                         out_ptr0[i1 + (4*i0)] = tmp4;
2022-11-23T02:04:39.7408052Z                     }
2022-11-23T02:04:39.7408154Z                 }
2022-11-23T02:04:39.7408257Z             }
2022-11-23T02:04:39.7408357Z         }
2022-11-23T02:04:39.7408477Z         #pragma omp for 
2022-11-23T02:04:39.7408578Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.7408682Z         {
2022-11-23T02:04:39.7408812Z             #pragma GCC ivdep
2022-11-23T02:04:39.7408933Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:39.7409041Z             {
2022-11-23T02:04:39.7409143Z                 {
2022-11-23T02:04:39.7409224Z                     {
2022-11-23T02:04:39.7409375Z                         auto tmp0 = in_ptr0[4 + i1 + (10*i0)];
2022-11-23T02:04:39.7409539Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T02:04:39.7409680Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.7409842Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T02:04:39.7409988Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.7410135Z                         out_ptr1[i1 + (3*i0)] = tmp4;
2022-11-23T02:04:39.7410240Z                     }
2022-11-23T02:04:39.7410319Z                 }
2022-11-23T02:04:39.7410419Z             }
2022-11-23T02:04:39.7410518Z         }
2022-11-23T02:04:39.7410638Z         #pragma omp for 
2022-11-23T02:04:39.7410769Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.7410869Z         {
2022-11-23T02:04:39.7410968Z             #pragma GCC ivdep
2022-11-23T02:04:39.7411093Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:39.7411191Z             {
2022-11-23T02:04:39.7411296Z                 {
2022-11-23T02:04:39.7411401Z                     {
2022-11-23T02:04:39.7411554Z                         auto tmp0 = in_ptr0[7 + i1 + (10*i0)];
2022-11-23T02:04:39.7411711Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T02:04:39.7411827Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.7411989Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T02:04:39.7412128Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.7412270Z                         out_ptr2[i1 + (3*i0)] = tmp4;
2022-11-23T02:04:39.7412375Z                     }
2022-11-23T02:04:39.7412481Z                 }
2022-11-23T02:04:39.7412581Z             }
2022-11-23T02:04:39.7412658Z         }
2022-11-23T02:04:39.7412758Z     }
2022-11-23T02:04:39.7412853Z }
2022-11-23T02:04:39.7412992Z ''')
2022-11-23T02:04:39.7413012Z 
2022-11-23T02:04:39.7413030Z 
2022-11-23T02:04:39.7413173Z async_compile.wait(globals())
2022-11-23T02:04:39.7413287Z del async_compile
2022-11-23T02:04:39.7413306Z 
2022-11-23T02:04:39.7413417Z def call(args):
2022-11-23T02:04:39.7413645Z     arg0_1, = args
2022-11-23T02:04:39.7413757Z     args.clear()
2022-11-23T02:04:39.7414044Z     buf0 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7414326Z     buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7414606Z     buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7414870Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.7414984Z     del arg0_1
2022-11-23T02:04:39.7415111Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:39.7415130Z 
2022-11-23T02:04:39.7415149Z 
2022-11-23T02:04:39.7415244Z if __name__ == "__main__":
2022-11-23T02:04:39.7415412Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7415590Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7415880Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7416664Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.7416701Z 
2022-11-23T02:04:39.7417811Z [2022-11-23 01:59:41,813] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tn/ctnuodhgzmcfyeej3z27iiasl4dq2xdwakhaul3ghfp4l5qnb7bw.py
2022-11-23T02:04:39.7418387Z [2022-11-23 01:59:41,814] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 303
2022-11-23T02:04:39.7418410Z 
2022-11-23T02:04:39.7418560Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7418670Z import torch
2022-11-23T02:04:39.7418758Z import random
2022-11-23T02:04:39.7418926Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7419100Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7419119Z 
2022-11-23T02:04:39.7419238Z aten = torch.ops.aten
2022-11-23T02:04:39.7419426Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7419573Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7419592Z 
2022-11-23T02:04:39.7419610Z 
2022-11-23T02:04:39.7419810Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.7420101Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.7420250Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.7420401Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.7420541Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.7420684Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:39.7420824Z                        float* __restrict__ out_ptr3)
2022-11-23T02:04:39.7420921Z {
2022-11-23T02:04:39.7421044Z     #pragma GCC ivdep
2022-11-23T02:04:39.7421141Z     for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.7421243Z     {
2022-11-23T02:04:39.7421342Z         {
2022-11-23T02:04:39.7421447Z             {
2022-11-23T02:04:39.7421591Z                 auto tmp0 = in_ptr0[10*i0];
2022-11-23T02:04:39.7421750Z                 auto tmp1 = static_cast<float>(2.0);
2022-11-23T02:04:39.7421858Z                 auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.7422006Z                 auto tmp3 = static_cast<float>(1.0);
2022-11-23T02:04:39.7422140Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.7422267Z                 out_ptr0[i0] = tmp4;
2022-11-23T02:04:39.7422371Z             }
2022-11-23T02:04:39.7422473Z         }
2022-11-23T02:04:39.7422571Z     }
2022-11-23T02:04:39.7422693Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7422793Z     {
2022-11-23T02:04:39.7422914Z         #pragma omp for 
2022-11-23T02:04:39.7423094Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.7423193Z         {
2022-11-23T02:04:39.7423316Z             #pragma GCC ivdep
2022-11-23T02:04:39.7423437Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T02:04:39.7423513Z             {
2022-11-23T02:04:39.7423615Z                 {
2022-11-23T02:04:39.7423822Z                     {
2022-11-23T02:04:39.7423982Z                         auto tmp0 = in_ptr0[1 + i1 + (10*i0)];
2022-11-23T02:04:39.7424141Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T02:04:39.7424282Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.7424444Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T02:04:39.7424561Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.7424705Z                         out_ptr1[i1 + (2*i0)] = tmp4;
2022-11-23T02:04:39.7424814Z                     }
2022-11-23T02:04:39.7424914Z                 }
2022-11-23T02:04:39.7425011Z             }
2022-11-23T02:04:39.7425115Z         }
2022-11-23T02:04:39.7425235Z         #pragma omp for 
2022-11-23T02:04:39.7425336Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.7425443Z         {
2022-11-23T02:04:39.7425565Z             #pragma GCC ivdep
2022-11-23T02:04:39.7425690Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:39.7425793Z             {
2022-11-23T02:04:39.7425898Z                 {
2022-11-23T02:04:39.7425978Z                     {
2022-11-23T02:04:39.7426138Z                         auto tmp0 = in_ptr0[3 + i1 + (10*i0)];
2022-11-23T02:04:39.7426346Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T02:04:39.7426493Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.7426652Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T02:04:39.7426791Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.7426932Z                         out_ptr2[i1 + (3*i0)] = tmp4;
2022-11-23T02:04:39.7427038Z                     }
2022-11-23T02:04:39.7427117Z                 }
2022-11-23T02:04:39.7427221Z             }
2022-11-23T02:04:39.7427316Z         }
2022-11-23T02:04:39.7427435Z         #pragma omp for 
2022-11-23T02:04:39.7427560Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.7427663Z         {
2022-11-23T02:04:39.7427762Z             #pragma GCC ivdep
2022-11-23T02:04:39.7427891Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:39.7427988Z             {
2022-11-23T02:04:39.7428085Z                 {
2022-11-23T02:04:39.7428184Z                     {
2022-11-23T02:04:39.7428341Z                         auto tmp0 = in_ptr0[6 + i1 + (10*i0)];
2022-11-23T02:04:39.7428499Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T02:04:39.7428614Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.7428778Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T02:04:39.7428915Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.7429055Z                         out_ptr3[i1 + (4*i0)] = tmp4;
2022-11-23T02:04:39.7429161Z                     }
2022-11-23T02:04:39.7429259Z                 }
2022-11-23T02:04:39.7429358Z             }
2022-11-23T02:04:39.7429434Z         }
2022-11-23T02:04:39.7429532Z     }
2022-11-23T02:04:39.7429628Z }
2022-11-23T02:04:39.7429768Z ''')
2022-11-23T02:04:39.7429792Z 
2022-11-23T02:04:39.7429810Z 
2022-11-23T02:04:39.7429947Z async_compile.wait(globals())
2022-11-23T02:04:39.7430060Z del async_compile
2022-11-23T02:04:39.7430079Z 
2022-11-23T02:04:39.7430191Z def call(args):
2022-11-23T02:04:39.7430277Z     arg0_1, = args
2022-11-23T02:04:39.7430392Z     args.clear()
2022-11-23T02:04:39.7430684Z     buf0 = empty_strided((2, 2, 1), (2, 1, 4), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7430962Z     buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7431238Z     buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7431516Z     buf3 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7431819Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T02:04:39.7431928Z     del arg0_1
2022-11-23T02:04:39.7432038Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T02:04:39.7432112Z 
2022-11-23T02:04:39.7432153Z 
2022-11-23T02:04:39.7432251Z if __name__ == "__main__":
2022-11-23T02:04:39.7432419Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7432599Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7432884Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7433042Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.7433061Z 
2022-11-23T02:04:39.7433168Z ok (8.288s)
2022-11-23T02:04:39.7433585Z   test_squeeze1_cpu (__main__.CpuTests) ... [2022-11-23 01:59:41,821] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.7434016Z [2022-11-23 01:59:41,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.7434297Z [2022-11-23 01:59:41,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.7434653Z [2022-11-23 01:59:41,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.7435075Z [2022-11-23 01:59:41,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7435513Z [2022-11-23 01:59:41,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7436009Z [2022-11-23 01:59:41,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7436634Z [2022-11-23 01:59:41,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7437169Z [2022-11-23 01:59:41,822] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641131e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1269> 
2022-11-23T02:04:39.7437315Z  1270           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7437452Z                2 LOAD_CONST               1 (1)
2022-11-23T02:04:39.7437544Z                4 BINARY_ADD
2022-11-23T02:04:39.7437692Z                6 LOAD_METHOD              0 (squeeze)
2022-11-23T02:04:39.7437828Z                8 CALL_METHOD              0
2022-11-23T02:04:39.7437963Z               10 LOAD_CONST               2 (2)
2022-11-23T02:04:39.7438073Z               12 BINARY_ADD
2022-11-23T02:04:39.7438209Z               14 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7438350Z               16 LOAD_METHOD              0 (squeeze)
2022-11-23T02:04:39.7438459Z               18 CALL_METHOD              0
2022-11-23T02:04:39.7438598Z               20 LOAD_CONST               2 (2)
2022-11-23T02:04:39.7438711Z               22 BINARY_ADD
2022-11-23T02:04:39.7438843Z               24 BUILD_TUPLE              2
2022-11-23T02:04:39.7438962Z               26 RETURN_VALUE
2022-11-23T02:04:39.7439120Z  
2022-11-23T02:04:39.7439217Z 
2022-11-23T02:04:39.7439650Z [2022-11-23 01:59:41,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1270
2022-11-23T02:04:39.7439944Z [2022-11-23 01:59:41,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.7440250Z [2022-11-23 01:59:41,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:39.7440674Z [2022-11-23 01:59:41,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7440966Z [2022-11-23 01:59:41,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T02:04:39.7441354Z [2022-11-23 01:59:41,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T02:04:39.7441765Z [2022-11-23 01:59:41,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:39.7442151Z [2022-11-23 01:59:41,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7442475Z [2022-11-23 01:59:41,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:39.7442846Z [2022-11-23 01:59:41,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7443266Z [2022-11-23 01:59:41,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T02:04:39.7443628Z [2022-11-23 01:59:41,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7444025Z [2022-11-23 01:59:41,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7444393Z [2022-11-23 01:59:41,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7444783Z [2022-11-23 01:59:41,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7445301Z [2022-11-23 01:59:41,836] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641131e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1269>
2022-11-23T02:04:39.7445637Z [2022-11-23 01:59:41,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7445962Z [2022-11-23 01:59:41,836] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.7446311Z [2022-11-23 01:59:41,838] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.7446653Z [2022-11-23 01:59:41,845] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.7446923Z [2022-11-23 01:59:41,845] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7447134Z  __compiled_fn_312 <eval_with_key>.2346 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7447287Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.7447529Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.7447666Z call_method, squeeze, squeeze, (add,), {}
2022-11-23T02:04:39.7447885Z call_function, add_1, <built-in function add>, (squeeze, 2), {}
2022-11-23T02:04:39.7448041Z call_method, squeeze_1, squeeze, (ex_0_,), {}
2022-11-23T02:04:39.7448295Z call_function, add_2, <built-in function add>, (squeeze_1, 2), {}
2022-11-23T02:04:39.7448476Z output, output, output, ((add_1, add_2),), {}
2022-11-23T02:04:39.7448476Z 
2022-11-23T02:04:39.7448889Z [2022-11-23 01:59:41,846] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7449036Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7449171Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7449304Z               4 BUILD_MAP                0
2022-11-23T02:04:39.7449454Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.7449579Z               8 DICT_MERGE               1
2022-11-23T02:04:39.7449713Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.7449831Z              12 RETURN_VALUE
2022-11-23T02:04:39.7449851Z 
2022-11-23T02:04:39.7449925Z  
2022-11-23T02:04:39.7450365Z [2022-11-23 01:59:41,846] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7450528Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_312)
2022-11-23T02:04:39.7450664Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7450800Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7450992Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.7451124Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.7451254Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.7451413Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7451550Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7451667Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.7451817Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7451950Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.7452067Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.7452200Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.7452293Z              26 RETURN_VALUE
2022-11-23T02:04:39.7452312Z 
2022-11-23T02:04:39.7452410Z  
2022-11-23T02:04:39.7452679Z [2022-11-23 01:59:41,847] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7452798Z  - 
2022-11-23T02:04:39.7452974Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.7453078Z             {
2022-11-23T02:04:39.7453283Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.7453521Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.7453749Z                 'obj_weakref': None
2022-11-23T02:04:39.7454071Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.7454174Z             }
2022-11-23T02:04:39.7454278Z             
2022-11-23T02:04:39.7454389Z  - 
2022-11-23T02:04:39.7454572Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7454651Z             {
2022-11-23T02:04:39.7454857Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7455013Z                 'code': None,
2022-11-23T02:04:39.7455306Z                 'obj_weakref': <weakref at 0x7fa51c24c360; to 'Tensor' at 0x7fa532047e20>
2022-11-23T02:04:39.7455650Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7455758Z             }
2022-11-23T02:04:39.7455855Z             
2022-11-23T02:04:39.7455941Z  - 
2022-11-23T02:04:39.7456593Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7456771Z             {
2022-11-23T02:04:39.7457123Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7457522Z                 'code': ['___check_obj_id(model, 140351387195792)'],
2022-11-23T02:04:39.7457810Z                 'obj_weakref': None
2022-11-23T02:04:39.7458221Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7458301Z             }
2022-11-23T02:04:39.7458399Z             
2022-11-23T02:04:39.7458514Z  - 
2022-11-23T02:04:39.7458692Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7458792Z             {
2022-11-23T02:04:39.7458990Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7459289Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7459452Z                 'obj_weakref': None
2022-11-23T02:04:39.7459747Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7459854Z             }
2022-11-23T02:04:39.7459957Z             
2022-11-23T02:04:39.7460312Z [2022-11-23 01:59:41,860] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 304
2022-11-23T02:04:39.7460802Z [2022-11-23 01:59:44,442] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/y2/cy2u22qvsqjvmmhkta5kg65esfxsd63fjx5xum75i3i6pbzrsgpd.py
2022-11-23T02:04:39.7461167Z [2022-11-23 01:59:44,443] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 304
2022-11-23T02:04:39.7461187Z 
2022-11-23T02:04:39.7461326Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7461412Z import torch
2022-11-23T02:04:39.7461522Z import random
2022-11-23T02:04:39.7461876Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7462055Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7462074Z 
2022-11-23T02:04:39.7462194Z aten = torch.ops.aten
2022-11-23T02:04:39.7462392Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7462534Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7462553Z 
2022-11-23T02:04:39.7462571Z 
2022-11-23T02:04:39.7462771Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.7463033Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.7463207Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.7463356Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.7463502Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.7463600Z {
2022-11-23T02:04:39.7463748Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7463857Z     {
2022-11-23T02:04:39.7463953Z         #pragma omp for 
2022-11-23T02:04:39.7464082Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:39.7464183Z         {
2022-11-23T02:04:39.7464411Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.7464682Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.7464819Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7465008Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:39.7465112Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.7465238Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T02:04:39.7465378Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.7465517Z             tmp5.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.7465616Z         }
2022-11-23T02:04:39.7465764Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.7465888Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T02:04:39.7465964Z         {
2022-11-23T02:04:39.7466099Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.7466247Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.7466376Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7466522Z             auto tmp3 = static_cast<float>(2);
2022-11-23T02:04:39.7466653Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.7466780Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T02:04:39.7466879Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:39.7466998Z             out_ptr1[i0] = tmp5;
2022-11-23T02:04:39.7467096Z         }
2022-11-23T02:04:39.7467193Z     }
2022-11-23T02:04:39.7467292Z }
2022-11-23T02:04:39.7467420Z ''')
2022-11-23T02:04:39.7467440Z 
2022-11-23T02:04:39.7467459Z 
2022-11-23T02:04:39.7467599Z async_compile.wait(globals())
2022-11-23T02:04:39.7467689Z del async_compile
2022-11-23T02:04:39.7467708Z 
2022-11-23T02:04:39.7467825Z def call(args):
2022-11-23T02:04:39.7467936Z     arg0_1, = args
2022-11-23T02:04:39.7468046Z     args.clear()
2022-11-23T02:04:39.7468336Z     buf0 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7468616Z     buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7468854Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.7468962Z     del arg0_1
2022-11-23T02:04:39.7469058Z     return (buf0, buf1, )
2022-11-23T02:04:39.7469078Z 
2022-11-23T02:04:39.7469097Z 
2022-11-23T02:04:39.7469216Z if __name__ == "__main__":
2022-11-23T02:04:39.7469383Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7469560Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7469880Z     arg0_1 = rand_strided((1, 2, 1, 2, 2, 1, 1), (8, 4, 4, 2, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7470037Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.7470056Z 
2022-11-23T02:04:39.7470159Z ok (2.628s)
2022-11-23T02:04:39.7470672Z   test_squeeze2_cpu (__main__.CpuTests) ... [2022-11-23 01:59:44,449] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.7471081Z [2022-11-23 01:59:44,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.7471386Z [2022-11-23 01:59:44,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.7471738Z [2022-11-23 01:59:44,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.7472119Z [2022-11-23 01:59:44,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7472556Z [2022-11-23 01:59:44,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7473030Z [2022-11-23 01:59:44,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7473469Z [2022-11-23 01:59:44,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7474020Z [2022-11-23 01:59:44,450] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641131fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1275> 
2022-11-23T02:04:39.7474171Z  1276           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7474313Z                2 LOAD_CONST               1 (1)
2022-11-23T02:04:39.7474403Z                4 BINARY_ADD
2022-11-23T02:04:39.7474552Z                6 LOAD_METHOD              0 (squeeze)
2022-11-23T02:04:39.7474754Z                8 LOAD_CONST               2 (-1)
2022-11-23T02:04:39.7474885Z               10 CALL_METHOD              1
2022-11-23T02:04:39.7475031Z               12 LOAD_METHOD              0 (squeeze)
2022-11-23T02:04:39.7475176Z               14 LOAD_CONST               3 (2)
2022-11-23T02:04:39.7475313Z               16 CALL_METHOD              1
2022-11-23T02:04:39.7475422Z               18 LOAD_CONST               3 (2)
2022-11-23T02:04:39.7475531Z               20 BINARY_ADD
2022-11-23T02:04:39.7475672Z               22 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7475820Z               24 LOAD_METHOD              0 (squeeze)
2022-11-23T02:04:39.7475954Z               26 LOAD_CONST               4 (0)
2022-11-23T02:04:39.7476087Z               28 CALL_METHOD              1
2022-11-23T02:04:39.7476218Z               30 LOAD_CONST               3 (2)
2022-11-23T02:04:39.7476308Z               32 BINARY_ADD
2022-11-23T02:04:39.7476441Z               34 BUILD_TUPLE              2
2022-11-23T02:04:39.7476558Z               36 RETURN_VALUE
2022-11-23T02:04:39.7476656Z  
2022-11-23T02:04:39.7476676Z 
2022-11-23T02:04:39.7477111Z [2022-11-23 01:59:44,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1276
2022-11-23T02:04:39.7477407Z [2022-11-23 01:59:44,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.7477744Z [2022-11-23 01:59:44,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:39.7478126Z [2022-11-23 01:59:44,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7478443Z [2022-11-23 01:59:44,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T02:04:39.7478829Z [2022-11-23 01:59:44,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T02:04:39.7479265Z [2022-11-23 01:59:44,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T02:04:39.7479595Z [2022-11-23 01:59:44,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T02:04:39.7480044Z [2022-11-23 01:59:44,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T02:04:39.7480481Z [2022-11-23 01:59:44,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T02:04:39.7480812Z [2022-11-23 01:59:44,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:39.7481192Z [2022-11-23 01:59:44,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7481517Z [2022-11-23 01:59:44,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:39.7481889Z [2022-11-23 01:59:44,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7482284Z [2022-11-23 01:59:44,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T02:04:39.7482812Z [2022-11-23 01:59:44,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T02:04:39.7483180Z [2022-11-23 01:59:44,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7483592Z [2022-11-23 01:59:44,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7483966Z [2022-11-23 01:59:44,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7484300Z [2022-11-23 01:59:44,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7484821Z [2022-11-23 01:59:44,462] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641131fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1275>
2022-11-23T02:04:39.7485161Z [2022-11-23 01:59:44,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7485490Z [2022-11-23 01:59:44,463] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.7485837Z [2022-11-23 01:59:44,465] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.7486181Z [2022-11-23 01:59:44,473] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.7486424Z [2022-11-23 01:59:44,473] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7486702Z  __compiled_fn_313 <eval_with_key>.2352 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7486838Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.7487090Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.7487300Z call_method, squeeze, squeeze, (add, -1), {}
2022-11-23T02:04:39.7487463Z call_method, squeeze_1, squeeze, (squeeze, 2), {}
2022-11-23T02:04:39.7487728Z call_function, add_1, <built-in function add>, (squeeze_1, 2), {}
2022-11-23T02:04:39.7487860Z call_method, squeeze_2, squeeze, (ex_0_, 0), {}
2022-11-23T02:04:39.7488111Z call_function, add_2, <built-in function add>, (squeeze_2, 2), {}
2022-11-23T02:04:39.7488266Z output, output, output, ((add_1, add_2),), {}
2022-11-23T02:04:39.7488286Z 
2022-11-23T02:04:39.7488728Z [2022-11-23 01:59:44,474] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7488873Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7489008Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7489142Z               4 BUILD_MAP                0
2022-11-23T02:04:39.7489380Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.7489487Z               8 DICT_MERGE               1
2022-11-23T02:04:39.7489625Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.7489745Z              12 RETURN_VALUE
2022-11-23T02:04:39.7489769Z 
2022-11-23T02:04:39.7489865Z  
2022-11-23T02:04:39.7490309Z [2022-11-23 01:59:44,474] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7490473Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_313)
2022-11-23T02:04:39.7490611Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7490750Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7490849Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.7491000Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.7491183Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.7491342Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7491480Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7491557Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.7491706Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7491871Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.7492004Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.7492144Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.7492260Z              26 RETURN_VALUE
2022-11-23T02:04:39.7492280Z 
2022-11-23T02:04:39.7492377Z  
2022-11-23T02:04:39.7492647Z [2022-11-23 01:59:44,475] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7492759Z  - 
2022-11-23T02:04:39.7492911Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.7493068Z             {
2022-11-23T02:04:39.7493267Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.7493525Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.7493702Z                 'obj_weakref': None
2022-11-23T02:04:39.7494014Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.7494120Z             }
2022-11-23T02:04:39.7494196Z             
2022-11-23T02:04:39.7494311Z  - 
2022-11-23T02:04:39.7494493Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7494597Z             {
2022-11-23T02:04:39.7494798Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7494954Z                 'code': None,
2022-11-23T02:04:39.7495249Z                 'obj_weakref': <weakref at 0x7fa51c24c450; to 'Tensor' at 0x7fa53228d8f0>
2022-11-23T02:04:39.7495571Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7495668Z             }
2022-11-23T02:04:39.7495765Z             
2022-11-23T02:04:39.7495875Z  - 
2022-11-23T02:04:39.7496478Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7496656Z             {
2022-11-23T02:04:39.7497005Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7497379Z                 'code': ['___check_obj_id(model, 140351387195792)'],
2022-11-23T02:04:39.7497659Z                 'obj_weakref': None
2022-11-23T02:04:39.7498209Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7498321Z             }
2022-11-23T02:04:39.7498422Z             
2022-11-23T02:04:39.7498536Z  - 
2022-11-23T02:04:39.7498715Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7498791Z             {
2022-11-23T02:04:39.7498986Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7499284Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7499455Z                 'obj_weakref': None
2022-11-23T02:04:39.7499767Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7500030Z             }
2022-11-23T02:04:39.7500133Z             
2022-11-23T02:04:39.7500472Z [2022-11-23 01:59:44,490] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 305
2022-11-23T02:04:39.7500972Z [2022-11-23 01:59:47,055] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ev/cevxbxl262czwgmc4dsueofuzfh3tczpbu6sbu3nujegcvt7bp7g.py
2022-11-23T02:04:39.7501337Z [2022-11-23 01:59:47,056] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 305
2022-11-23T02:04:39.7501358Z 
2022-11-23T02:04:39.7501499Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7501608Z import torch
2022-11-23T02:04:39.7501718Z import random
2022-11-23T02:04:39.7501886Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7502091Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7502091Z 
2022-11-23T02:04:39.7502252Z aten = torch.ops.aten
2022-11-23T02:04:39.7502377Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7502553Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7502553Z 
2022-11-23T02:04:39.7502560Z 
2022-11-23T02:04:39.7502760Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.7503116Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.7503297Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.7503446Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.7503588Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.7503662Z {
2022-11-23T02:04:39.7503809Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7503910Z     {
2022-11-23T02:04:39.7504030Z         #pragma omp for 
2022-11-23T02:04:39.7504155Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.7504318Z         {
2022-11-23T02:04:39.7504540Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.7504738Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.7504843Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7505031Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:39.7505161Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.7505288Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T02:04:39.7505425Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.7505558Z             tmp5.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.7505657Z         }
2022-11-23T02:04:39.7505775Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.7505896Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T02:04:39.7505995Z         {
2022-11-23T02:04:39.7506124Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.7506269Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.7506393Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7506537Z             auto tmp3 = static_cast<float>(2);
2022-11-23T02:04:39.7506647Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.7506771Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T02:04:39.7506894Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:39.7507015Z             out_ptr1[i0] = tmp5;
2022-11-23T02:04:39.7507118Z         }
2022-11-23T02:04:39.7507216Z     }
2022-11-23T02:04:39.7507287Z }
2022-11-23T02:04:39.7507415Z ''')
2022-11-23T02:04:39.7507435Z 
2022-11-23T02:04:39.7507454Z 
2022-11-23T02:04:39.7507591Z async_compile.wait(globals())
2022-11-23T02:04:39.7507706Z del async_compile
2022-11-23T02:04:39.7507725Z 
2022-11-23T02:04:39.7507837Z def call(args):
2022-11-23T02:04:39.7507945Z     arg0_1, = args
2022-11-23T02:04:39.7508056Z     args.clear()
2022-11-23T02:04:39.7508360Z     buf0 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7508645Z     buf1 = empty_strided((2, 1, 2, 2, 2, 1), (8, 16, 4, 2, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7508948Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.7509057Z     del arg0_1
2022-11-23T02:04:39.7509177Z     return (buf0, buf1, )
2022-11-23T02:04:39.7509196Z 
2022-11-23T02:04:39.7509215Z 
2022-11-23T02:04:39.7509340Z if __name__ == "__main__":
2022-11-23T02:04:39.7509509Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7509687Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7510006Z     arg0_1 = rand_strided((1, 2, 1, 2, 2, 2, 1), (16, 8, 8, 4, 2, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7510143Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.7510164Z 
2022-11-23T02:04:39.7510271Z ok (2.613s)
2022-11-23T02:04:39.7510681Z   test_stack_cpu (__main__.CpuTests) ... [2022-11-23 01:59:47,063] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.7511119Z [2022-11-23 01:59:47,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.7511427Z [2022-11-23 01:59:47,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.7511828Z [2022-11-23 01:59:47,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.7512217Z [2022-11-23 01:59:47,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7512650Z [2022-11-23 01:59:47,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7513113Z [2022-11-23 01:59:47,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7513551Z [2022-11-23 01:59:47,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7514037Z [2022-11-23 01:59:47,064] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9dc60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2599> 
2022-11-23T02:04:39.7514187Z  2600           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7514328Z                2 LOAD_METHOD              1 (stack)
2022-11-23T02:04:39.7514348Z 
2022-11-23T02:04:39.7514484Z 2602           4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7514626Z                6 LOAD_METHOD              2 (expand)
2022-11-23T02:04:39.7514762Z                8 LOAD_CONST               1 (12)
2022-11-23T02:04:39.7514900Z               10 LOAD_CONST               2 (16)
2022-11-23T02:04:39.7515037Z               12 CALL_METHOD              2
2022-11-23T02:04:39.7515056Z 
2022-11-23T02:04:39.7515167Z 2603          14 LOAD_FAST                1 (b)
2022-11-23T02:04:39.7515312Z               16 LOAD_METHOD              2 (expand)
2022-11-23T02:04:39.7515455Z               18 LOAD_CONST               1 (12)
2022-11-23T02:04:39.7515586Z               20 LOAD_CONST               2 (16)
2022-11-23T02:04:39.7515720Z               22 CALL_METHOD              2
2022-11-23T02:04:39.7515740Z 
2022-11-23T02:04:39.7515875Z 2601          24 BUILD_LIST               2
2022-11-23T02:04:39.7515895Z 
2022-11-23T02:04:39.7516031Z 2605          26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.7516050Z 
2022-11-23T02:04:39.7516185Z 2600          28 CALL_METHOD              2
2022-11-23T02:04:39.7516280Z               30 RETURN_VALUE
2022-11-23T02:04:39.7516379Z  
2022-11-23T02:04:39.7516398Z 
2022-11-23T02:04:39.7516835Z [2022-11-23 01:59:47,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2600
2022-11-23T02:04:39.7517136Z [2022-11-23 01:59:47,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.7517691Z [2022-11-23 01:59:47,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stack [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7518181Z [2022-11-23 01:59:47,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2602
2022-11-23T02:04:39.7518611Z [2022-11-23 01:59:47,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method stack of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.7519087Z [2022-11-23 01:59:47,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method stack of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.7519611Z [2022-11-23 01:59:47,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(<built-in method stack of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T02:04:39.7520175Z [2022-11-23 01:59:47,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(<built-in method stack of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T02:04:39.7520852Z [2022-11-23 01:59:47,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7fa5855aec60>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.7521278Z [2022-11-23 01:59:47,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2603
2022-11-23T02:04:39.7521721Z [2022-11-23 01:59:47,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method stack of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.7522232Z [2022-11-23 01:59:47,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method stack of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7522796Z [2022-11-23 01:59:47,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(<built-in method stack of type object at 0x7fa5855aec60>), TensorVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T02:04:39.7523401Z [2022-11-23 01:59:47,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(<built-in method stack of type object at 0x7fa5855aec60>), TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T02:04:39.7524057Z [2022-11-23 01:59:47,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7fa5855aec60>), TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.7524485Z [2022-11-23 01:59:47,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2601
2022-11-23T02:04:39.7524992Z [2022-11-23 01:59:47,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<built-in method stack of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7525416Z [2022-11-23 01:59:47,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2605
2022-11-23T02:04:39.7525882Z [2022-11-23 01:59:47,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method stack of type object at 0x7fa5855aec60>), ListVariable()]
2022-11-23T02:04:39.7526290Z [2022-11-23 01:59:47,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2600
2022-11-23T02:04:39.7526799Z [2022-11-23 01:59:47,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7fa5855aec60>), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7527206Z [2022-11-23 01:59:47,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.7527714Z [2022-11-23 01:59:47,074] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9dc60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2599>
2022-11-23T02:04:39.7528053Z [2022-11-23 01:59:47,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.7528354Z [2022-11-23 01:59:47,074] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.7528702Z [2022-11-23 01:59:47,076] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.7529039Z [2022-11-23 01:59:47,082] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.7529302Z [2022-11-23 01:59:47,083] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7529501Z  __compiled_fn_314 <eval_with_key>.2358 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7529636Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.7529770Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.7529984Z call_method, expand, expand, (ex_0_, 12, 16), {}
2022-11-23T02:04:39.7530126Z call_method, expand_1, expand, (ex_1_, 12, 16), {}
2022-11-23T02:04:39.7530473Z call_function, stack, <built-in method stack of type object at 0x7fa5855aec60>, ([expand, expand_1], 2), {}
2022-11-23T02:04:39.7530614Z output, output, output, ((stack,),), {}
2022-11-23T02:04:39.7530634Z 
2022-11-23T02:04:39.7531071Z [2022-11-23 01:59:47,083] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7531208Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7531344Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7531478Z               4 BUILD_MAP                0
2022-11-23T02:04:39.7531617Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.7531724Z               8 DICT_MERGE               1
2022-11-23T02:04:39.7531854Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.7531971Z              12 RETURN_VALUE
2022-11-23T02:04:39.7531991Z 
2022-11-23T02:04:39.7532082Z  
2022-11-23T02:04:39.7532519Z [2022-11-23 01:59:47,083] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7532672Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_314)
2022-11-23T02:04:39.7532807Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7532940Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7533037Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.7533165Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7533293Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.7533410Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.7533545Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.7533676Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.7533791Z              18 RETURN_VALUE
2022-11-23T02:04:39.7533814Z 
2022-11-23T02:04:39.7533889Z  
2022-11-23T02:04:39.7534144Z [2022-11-23 01:59:47,085] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7534252Z  - 
2022-11-23T02:04:39.7534426Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.7534524Z             {
2022-11-23T02:04:39.7534722Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.7534978Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.7535131Z                 'obj_weakref': None
2022-11-23T02:04:39.7535446Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.7535544Z             }
2022-11-23T02:04:39.7535735Z             
2022-11-23T02:04:39.7535848Z  - 
2022-11-23T02:04:39.7536547Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7536724Z             {
2022-11-23T02:04:39.7537050Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7537305Z                 'code': None,
2022-11-23T02:04:39.7537791Z                 'obj_weakref': <weakref at 0x7fa5321c39c0; to 'Tensor' at 0x7fa51c1d7dd0>
2022-11-23T02:04:39.7538308Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7538416Z             }
2022-11-23T02:04:39.7538519Z             
2022-11-23T02:04:39.7538633Z  - 
2022-11-23T02:04:39.7538787Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.7538887Z             {
2022-11-23T02:04:39.7539091Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7539247Z                 'code': None,
2022-11-23T02:04:39.7539541Z                 'obj_weakref': <weakref at 0x7fa5321c2ca0; to 'Tensor' at 0x7fa532047e20>
2022-11-23T02:04:39.7539893Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7539999Z             }
2022-11-23T02:04:39.7540076Z             
2022-11-23T02:04:39.7540188Z  - 
2022-11-23T02:04:39.7540541Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7540653Z             {
2022-11-23T02:04:39.7540853Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7541097Z                 'code': ['___check_obj_id(model, 140351387195792)'],
2022-11-23T02:04:39.7541269Z                 'obj_weakref': None
2022-11-23T02:04:39.7541559Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7541691Z             }
2022-11-23T02:04:39.7541766Z             
2022-11-23T02:04:39.7541877Z  - 
2022-11-23T02:04:39.7542050Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7542151Z             {
2022-11-23T02:04:39.7542350Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7542627Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7542795Z                 'obj_weakref': None
2022-11-23T02:04:39.7543108Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7543211Z             }
2022-11-23T02:04:39.7543312Z             
2022-11-23T02:04:39.7543423Z  - 
2022-11-23T02:04:39.7543613Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.7543691Z             {
2022-11-23T02:04:39.7543859Z                 'guard_types': None,
2022-11-23T02:04:39.7544016Z                 'code': None,
2022-11-23T02:04:39.7544183Z                 'obj_weakref': None
2022-11-23T02:04:39.7544363Z                 'guarded_class': None
2022-11-23T02:04:39.7544463Z             }
2022-11-23T02:04:39.7544540Z             
2022-11-23T02:04:39.7544894Z [2022-11-23 01:59:47,098] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 306
2022-11-23T02:04:39.7545393Z [2022-11-23 01:59:49,709] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6w/c6ww3kbbd72kie3c3zvk4zuctezcpujogsctafhhl7t3tr3jloo5.py
2022-11-23T02:04:39.7545764Z [2022-11-23 01:59:49,710] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 306
2022-11-23T02:04:39.7545786Z 
2022-11-23T02:04:39.7545932Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7546041Z import torch
2022-11-23T02:04:39.7546152Z import random
2022-11-23T02:04:39.7546322Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7546475Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7546518Z 
2022-11-23T02:04:39.7546617Z aten = torch.ops.aten
2022-11-23T02:04:39.7546818Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7546959Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7546978Z 
2022-11-23T02:04:39.7547085Z 
2022-11-23T02:04:39.7547297Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.7547584Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.7547758Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.7547915Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.7548067Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.7548192Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.7548293Z {
2022-11-23T02:04:39.7548444Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7548543Z     {
2022-11-23T02:04:39.7548682Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.7548807Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:39.7548884Z         {
2022-11-23T02:04:39.7549015Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T02:04:39.7549117Z             {
2022-11-23T02:04:39.7549221Z                 {
2022-11-23T02:04:39.7549331Z                     {
2022-11-23T02:04:39.7549472Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:39.7549614Z                         out_ptr0[(2*i1) + (32*i0)] = tmp0;
2022-11-23T02:04:39.7549696Z                     }
2022-11-23T02:04:39.7549800Z                 }
2022-11-23T02:04:39.7549954Z             }
2022-11-23T02:04:39.7550060Z         }
2022-11-23T02:04:39.7550196Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.7550317Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:39.7550418Z         {
2022-11-23T02:04:39.7550521Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T02:04:39.7550625Z             {
2022-11-23T02:04:39.7550728Z                 {
2022-11-23T02:04:39.7550832Z                     {
2022-11-23T02:04:39.7550972Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T02:04:39.7551118Z                         out_ptr1[(2*i1) + (32*i0)] = tmp0;
2022-11-23T02:04:39.7551218Z                     }
2022-11-23T02:04:39.7551296Z                 }
2022-11-23T02:04:39.7551410Z             }
2022-11-23T02:04:39.7551508Z         }
2022-11-23T02:04:39.7551608Z     }
2022-11-23T02:04:39.7551710Z }
2022-11-23T02:04:39.7551836Z ''')
2022-11-23T02:04:39.7551856Z 
2022-11-23T02:04:39.7551874Z 
2022-11-23T02:04:39.7552012Z async_compile.wait(globals())
2022-11-23T02:04:39.7552107Z del async_compile
2022-11-23T02:04:39.7552126Z 
2022-11-23T02:04:39.7552238Z def call(args):
2022-11-23T02:04:39.7552356Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.7552466Z     args.clear()
2022-11-23T02:04:39.7552756Z     buf2 = empty_strided((12, 16, 2), (32, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7552913Z     buf0 = as_strided(buf2, (12, 16, 1), (32, 2, 1))  # alias
2022-11-23T02:04:39.7553074Z     buf1 = as_strided(buf2, (12, 16, 1), (32, 2, 1), 1)  # alias
2022-11-23T02:04:39.7553318Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.7553426Z     del arg0_1
2022-11-23T02:04:39.7553536Z     del arg1_1
2022-11-23T02:04:39.7553655Z     return (buf2, )
2022-11-23T02:04:39.7553674Z 
2022-11-23T02:04:39.7553693Z 
2022-11-23T02:04:39.7553814Z if __name__ == "__main__":
2022-11-23T02:04:39.7553976Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7554163Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7554442Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7554691Z     arg1_1 = rand_strided((12, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7554862Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.7554882Z 
2022-11-23T02:04:39.7554996Z ok (2.653s)
2022-11-23T02:04:39.7555397Z   test_std_cpu (__main__.CpuTests) ... [2022-11-23 01:59:49,716] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.7555834Z [2022-11-23 01:59:49,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.7556198Z [2022-11-23 01:59:49,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.7556548Z [2022-11-23 01:59:49,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.7556930Z [2022-11-23 01:59:49,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7557366Z [2022-11-23 01:59:49,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7557807Z [2022-11-23 01:59:49,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7558244Z [2022-11-23 01:59:49,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7558747Z [2022-11-23 01:59:49,718] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fbb890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2285> 
2022-11-23T02:04:39.7558992Z  2287           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7559143Z                2 LOAD_METHOD              1 (var)
2022-11-23T02:04:39.7559283Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.7559425Z                6 LOAD_CONST               1 (True)
2022-11-23T02:04:39.7559557Z                8 CALL_METHOD              2
2022-11-23T02:04:39.7559579Z 
2022-11-23T02:04:39.7559724Z 2288          10 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7559838Z               12 LOAD_METHOD              1 (var)
2022-11-23T02:04:39.7559970Z               14 LOAD_FAST                0 (x)
2022-11-23T02:04:39.7560107Z               16 LOAD_CONST               2 (False)
2022-11-23T02:04:39.7560240Z               18 CALL_METHOD              2
2022-11-23T02:04:39.7560263Z 
2022-11-23T02:04:39.7560401Z 2289          20 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7560537Z               22 LOAD_METHOD              1 (var)
2022-11-23T02:04:39.7560669Z               24 LOAD_FAST                0 (x)
2022-11-23T02:04:39.7560854Z               26 LOAD_CONST               3 (-1)
2022-11-23T02:04:39.7560988Z               28 LOAD_CONST               1 (True)
2022-11-23T02:04:39.7561119Z               30 CALL_METHOD              3
2022-11-23T02:04:39.7561138Z 
2022-11-23T02:04:39.7561275Z 2290          32 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7561413Z               34 LOAD_METHOD              1 (var)
2022-11-23T02:04:39.7561549Z               36 LOAD_FAST                0 (x)
2022-11-23T02:04:39.7561749Z               38 LOAD_CONST               3 (-1)
2022-11-23T02:04:39.7561881Z               40 LOAD_CONST               2 (False)
2022-11-23T02:04:39.7561988Z               42 CALL_METHOD              3
2022-11-23T02:04:39.7562013Z 
2022-11-23T02:04:39.7562145Z 2291          44 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7562276Z               46 LOAD_METHOD              2 (std)
2022-11-23T02:04:39.7562408Z               48 LOAD_FAST                0 (x)
2022-11-23T02:04:39.7562544Z               50 LOAD_CONST               2 (False)
2022-11-23T02:04:39.7562671Z               52 CALL_METHOD              2
2022-11-23T02:04:39.7562691Z 
2022-11-23T02:04:39.7562826Z 2292          54 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7562958Z               56 LOAD_METHOD              2 (std)
2022-11-23T02:04:39.7563067Z               58 LOAD_FAST                0 (x)
2022-11-23T02:04:39.7563199Z               60 LOAD_CONST               4 (0)
2022-11-23T02:04:39.7563328Z               62 LOAD_CONST               5 (1)
2022-11-23T02:04:39.7563458Z               64 BUILD_LIST               2
2022-11-23T02:04:39.7563591Z               66 LOAD_CONST               1 (True)
2022-11-23T02:04:39.7563787Z               68 CALL_METHOD              3
2022-11-23T02:04:39.7563806Z 
2022-11-23T02:04:39.7563939Z 2293          70 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7564052Z               72 LOAD_METHOD              2 (std)
2022-11-23T02:04:39.7564185Z               74 LOAD_FAST                0 (x)
2022-11-23T02:04:39.7564314Z               76 LOAD_CONST               4 (0)
2022-11-23T02:04:39.7564445Z               78 LOAD_CONST               5 (1)
2022-11-23T02:04:39.7564571Z               80 BUILD_LIST               2
2022-11-23T02:04:39.7564707Z               82 LOAD_CONST               2 (False)
2022-11-23T02:04:39.7564832Z               84 CALL_METHOD              3
2022-11-23T02:04:39.7564851Z 
2022-11-23T02:04:39.7564984Z 2294          86 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.7565096Z               88 LOAD_ATTR                2 (std)
2022-11-23T02:04:39.7565227Z               90 LOAD_FAST                0 (x)
2022-11-23T02:04:39.7565427Z               92 LOAD_CONST               6 (-2)
2022-11-23T02:04:39.7565564Z               94 LOAD_CONST               1 (True)
2022-11-23T02:04:39.7565693Z               96 LOAD_CONST               1 (True)
2022-11-23T02:04:39.7565913Z               98 LOAD_CONST               7 (('keepdim',))
2022-11-23T02:04:39.7566096Z              100 CALL_FUNCTION_KW         4
2022-11-23T02:04:39.7566116Z 
2022-11-23T02:04:39.7566229Z 2286         102 BUILD_TUPLE              8
2022-11-23T02:04:39.7566346Z              104 RETURN_VALUE
2022-11-23T02:04:39.7566440Z  
2022-11-23T02:04:39.7566459Z 
2022-11-23T02:04:39.7566885Z [2022-11-23 01:59:49,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2287
2022-11-23T02:04:39.7567190Z [2022-11-23 01:59:49,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.7567681Z [2022-11-23 01:59:49,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7568110Z [2022-11-23 01:59:49,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method var of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.7568579Z [2022-11-23 01:59:49,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method var of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.7569099Z [2022-11-23 01:59:49,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method var of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.7569521Z [2022-11-23 01:59:49,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2288
2022-11-23T02:04:39.7569837Z [2022-11-23 01:59:49,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.7570364Z [2022-11-23 01:59:49,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7570826Z [2022-11-23 01:59:49,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.7571335Z [2022-11-23 01:59:49,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.7571896Z [2022-11-23 01:59:49,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.7572369Z [2022-11-23 01:59:49,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2289
2022-11-23T02:04:39.7572807Z [2022-11-23 01:59:49,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7573377Z [2022-11-23 01:59:49,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7573870Z [2022-11-23 01:59:49,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.7574421Z [2022-11-23 01:59:49,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.7575023Z [2022-11-23 01:59:49,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7575750Z [2022-11-23 01:59:49,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T02:04:39.7577002Z [2022-11-23 01:59:49,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2290
2022-11-23T02:04:39.7577760Z [2022-11-23 01:59:49,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7578591Z [2022-11-23 01:59:49,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7579120Z [2022-11-23 01:59:49,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.7579703Z [2022-11-23 01:59:49,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.7580340Z [2022-11-23 01:59:49,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7581013Z [2022-11-23 01:59:49,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T02:04:39.7581438Z [2022-11-23 01:59:49,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2291
2022-11-23T02:04:39.7581877Z [2022-11-23 01:59:49,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7582506Z [2022-11-23 01:59:49,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7583075Z [2022-11-23 01:59:49,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.7583841Z [2022-11-23 01:59:49,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.7584508Z [2022-11-23 01:59:49,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.7584925Z [2022-11-23 01:59:49,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2292
2022-11-23T02:04:39.7585397Z [2022-11-23 01:59:49,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7586063Z [2022-11-23 01:59:49,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7586785Z [2022-11-23 01:59:49,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.7587442Z [2022-11-23 01:59:49,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.7588131Z [2022-11-23 01:59:49,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7588876Z [2022-11-23 01:59:49,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.7589554Z [2022-11-23 01:59:49,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.7590280Z [2022-11-23 01:59:49,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.7590699Z [2022-11-23 01:59:49,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2293
2022-11-23T02:04:39.7591210Z [2022-11-23 01:59:49,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7591907Z [2022-11-23 01:59:49,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7592523Z [2022-11-23 01:59:49,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.7593331Z [2022-11-23 01:59:49,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.7594010Z [2022-11-23 01:59:49,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7594793Z [2022-11-23 01:59:49,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.7595600Z [2022-11-23 01:59:49,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.7596356Z [2022-11-23 01:59:49,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.7596778Z [2022-11-23 01:59:49,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2294
2022-11-23T02:04:39.7597322Z [2022-11-23 01:59:49,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7598077Z [2022-11-23 01:59:49,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7598757Z [2022-11-23 01:59:49,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.7599479Z [2022-11-23 01:59:49,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.7600255Z [2022-11-23 01:59:49,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7601077Z [2022-11-23 01:59:49,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T02:04:39.7601962Z [2022-11-23 01:59:49,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T02:04:39.7603002Z [2022-11-23 01:59:49,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T02:04:39.7603430Z [2022-11-23 01:59:49,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2286
2022-11-23T02:04:39.7604009Z [2022-11-23 01:59:49,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 8 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7604388Z [2022-11-23 01:59:49,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7604928Z [2022-11-23 01:59:49,752] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fbb890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2285>
2022-11-23T02:04:39.7605272Z [2022-11-23 01:59:49,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7605598Z [2022-11-23 01:59:49,752] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.7605945Z [2022-11-23 01:59:49,755] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.7606351Z [2022-11-23 01:59:49,769] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.7606604Z [2022-11-23 01:59:49,769] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7606799Z  __compiled_fn_315 <eval_with_key>.2364 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7606938Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.7607260Z call_function, var, <built-in method var of type object at 0x7fa5855aec60>, (ex_0_, True), {}
2022-11-23T02:04:39.7607581Z call_function, var_1, <built-in method var of type object at 0x7fa5855aec60>, (ex_0_, False), {}
2022-11-23T02:04:39.7607905Z call_function, var_2, <built-in method var of type object at 0x7fa5855aec60>, (ex_0_, -1, True), {}
2022-11-23T02:04:39.7608231Z call_function, var_3, <built-in method var of type object at 0x7fa5855aec60>, (ex_0_, -1, False), {}
2022-11-23T02:04:39.7608545Z call_function, std, <built-in method std of type object at 0x7fa5855aec60>, (ex_0_, False), {}
2022-11-23T02:04:39.7608868Z call_function, std_1, <built-in method std of type object at 0x7fa5855aec60>, (ex_0_, [0, 1], True), {}
2022-11-23T02:04:39.7609188Z call_function, std_2, <built-in method std of type object at 0x7fa5855aec60>, (ex_0_, [0, 1], False), {}
2022-11-23T02:04:39.7609538Z call_function, std_3, <built-in method std of type object at 0x7fa5855aec60>, (ex_0_, -2, True), {'keepdim': True}
2022-11-23T02:04:39.7609738Z output, output, output, ((var, var_1, var_2, var_3, std, std_1, std_2, std_3),), {}
2022-11-23T02:04:39.7609767Z 
2022-11-23T02:04:39.7610217Z [2022-11-23 01:59:49,770] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7610360Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7610498Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7610629Z               4 BUILD_MAP                0
2022-11-23T02:04:39.7610767Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.7610873Z               8 DICT_MERGE               1
2022-11-23T02:04:39.7611006Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.7611219Z              12 RETURN_VALUE
2022-11-23T02:04:39.7611239Z 
2022-11-23T02:04:39.7611334Z  
2022-11-23T02:04:39.7611784Z [2022-11-23 01:59:49,771] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7611941Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_315)
2022-11-23T02:04:39.7612077Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7612212Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7612310Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.7612436Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.7612583Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.7612730Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7612865Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7612978Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.7613128Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7613237Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.7613352Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.7613552Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7613692Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.7613805Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.7613952Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7614079Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:39.7614173Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.7614315Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7614448Z              38 LOAD_CONST               5 (4)
2022-11-23T02:04:39.7614559Z              40 BINARY_SUBSCR
2022-11-23T02:04:39.7614702Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7614827Z              44 LOAD_CONST               6 (5)
2022-11-23T02:04:39.7614945Z              46 BINARY_SUBSCR
2022-11-23T02:04:39.7615068Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7615198Z              50 LOAD_CONST               7 (6)
2022-11-23T02:04:39.7615313Z              52 BINARY_SUBSCR
2022-11-23T02:04:39.7615457Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7615583Z              56 LOAD_CONST               8 (7)
2022-11-23T02:04:39.7615697Z              58 BINARY_SUBSCR
2022-11-23T02:04:39.7615823Z              60 BUILD_TUPLE              8
2022-11-23T02:04:39.7615915Z              62 RETURN_VALUE
2022-11-23T02:04:39.7615955Z 
2022-11-23T02:04:39.7616383Z  
2022-11-23T02:04:39.7616880Z [2022-11-23 01:59:49,772] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7617057Z  - 
2022-11-23T02:04:39.7617332Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.7617484Z             {
2022-11-23T02:04:39.7617821Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.7618186Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.7618340Z                 'obj_weakref': None
2022-11-23T02:04:39.7618649Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.7618749Z             }
2022-11-23T02:04:39.7618846Z             
2022-11-23T02:04:39.7618954Z  - 
2022-11-23T02:04:39.7619131Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7619229Z             {
2022-11-23T02:04:39.7619412Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7619563Z                 'code': None,
2022-11-23T02:04:39.7619850Z                 'obj_weakref': <weakref at 0x7fa55a0061b0; to 'Tensor' at 0x7fa550482250>
2022-11-23T02:04:39.7620190Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7620289Z             }
2022-11-23T02:04:39.7620546Z             
2022-11-23T02:04:39.7620657Z  - 
2022-11-23T02:04:39.7620823Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7620921Z             {
2022-11-23T02:04:39.7621111Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7621349Z                 'code': ['___check_obj_id(model, 140351387195792)'],
2022-11-23T02:04:39.7621520Z                 'obj_weakref': None
2022-11-23T02:04:39.7621832Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7621930Z             }
2022-11-23T02:04:39.7622007Z             
2022-11-23T02:04:39.7622112Z  - 
2022-11-23T02:04:39.7622284Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7622380Z             {
2022-11-23T02:04:39.7622570Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7622860Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7623028Z                 'obj_weakref': None
2022-11-23T02:04:39.7623313Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7623408Z             }
2022-11-23T02:04:39.7623504Z             
2022-11-23T02:04:39.7623610Z  - 
2022-11-23T02:04:39.7623897Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.7624002Z             {
2022-11-23T02:04:39.7624160Z                 'guard_types': None,
2022-11-23T02:04:39.7624312Z                 'code': None,
2022-11-23T02:04:39.7624476Z                 'obj_weakref': None
2022-11-23T02:04:39.7624646Z                 'guarded_class': None
2022-11-23T02:04:39.7624742Z             }
2022-11-23T02:04:39.7624838Z             
2022-11-23T02:04:39.7625194Z [2022-11-23 01:59:49,794] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 307
2022-11-23T02:04:39.7625216Z 
2022-11-23T02:04:39.7625355Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7625441Z import torch
2022-11-23T02:04:39.7625546Z import random
2022-11-23T02:04:39.7625717Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7625890Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7625909Z 
2022-11-23T02:04:39.7626026Z aten = torch.ops.aten
2022-11-23T02:04:39.7626217Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7626352Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7626372Z 
2022-11-23T02:04:39.7626391Z 
2022-11-23T02:04:39.7626578Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.7626841Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.7627006Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.7627157Z                        float* __restrict__ in_out_ptr1,
2022-11-23T02:04:39.7627304Z                        float* __restrict__ in_out_ptr2,
2022-11-23T02:04:39.7627449Z                        float* __restrict__ in_out_ptr3,
2022-11-23T02:04:39.7627596Z                        float* __restrict__ in_out_ptr4,
2022-11-23T02:04:39.7627740Z                        float* __restrict__ in_out_ptr5,
2022-11-23T02:04:39.7627863Z                        float* __restrict__ in_out_ptr6,
2022-11-23T02:04:39.7628011Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.7628155Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.7628297Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:39.7628433Z                        float* __restrict__ out_ptr4,
2022-11-23T02:04:39.7628568Z                        float* __restrict__ out_ptr5,
2022-11-23T02:04:39.7628706Z                        float* __restrict__ out_ptr7,
2022-11-23T02:04:39.7628828Z                        float* __restrict__ out_ptr10,
2022-11-23T02:04:39.7628969Z                        float* __restrict__ out_ptr12,
2022-11-23T02:04:39.7629108Z                        float* __restrict__ out_ptr14)
2022-11-23T02:04:39.7629203Z {
2022-11-23T02:04:39.7629332Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T02:04:39.7629531Z     auto out_ptr3 = in_out_ptr1;
2022-11-23T02:04:39.7629655Z     auto out_ptr6 = in_out_ptr2;
2022-11-23T02:04:39.7629758Z     auto out_ptr8 = in_out_ptr3;
2022-11-23T02:04:39.7629880Z     auto out_ptr9 = in_out_ptr4;
2022-11-23T02:04:39.7630008Z     auto out_ptr11 = in_out_ptr5;
2022-11-23T02:04:39.7630133Z     auto out_ptr13 = in_out_ptr6;
2022-11-23T02:04:39.7630227Z     {
2022-11-23T02:04:39.7630516Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.7630635Z         float tmp1 = 0;
2022-11-23T02:04:39.7630803Z         auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T02:04:39.7630936Z         #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7631031Z         {
2022-11-23T02:04:39.7631185Z             #pragma omp for reduction(+:tmp1_vec) 
2022-11-23T02:04:39.7631313Z             for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.7631412Z             {
2022-11-23T02:04:39.7631611Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.7631729Z                 tmp1_vec += tmp0;
2022-11-23T02:04:39.7631807Z             }
2022-11-23T02:04:39.7632127Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T02:04:39.7632307Z             #pragma omp for simd simdlen(4) reduction(+:tmp1) 
2022-11-23T02:04:39.7632438Z             for(long i0=256; i0<256; i0+=1)
2022-11-23T02:04:39.7632539Z             {
2022-11-23T02:04:39.7632667Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.7632782Z                 tmp1 += tmp0;
2022-11-23T02:04:39.7632859Z             }
2022-11-23T02:04:39.7632955Z         }
2022-11-23T02:04:39.7633070Z         out_ptr0[0] = tmp1;
2022-11-23T02:04:39.7633167Z     }
2022-11-23T02:04:39.7633258Z     {
2022-11-23T02:04:39.7633510Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.7633631Z         float tmp6 = 0;
2022-11-23T02:04:39.7633775Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T02:04:39.7633888Z         float tmp7 = 0;
2022-11-23T02:04:39.7634054Z         auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T02:04:39.7634202Z         #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7634299Z         {
2022-11-23T02:04:39.7634487Z             #pragma omp for reduction(+:tmp6_vec) reduction(+:tmp7_vec) 
2022-11-23T02:04:39.7634613Z             for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.7634706Z             {
2022-11-23T02:04:39.7634877Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.7635055Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr0[0]);
2022-11-23T02:04:39.7635241Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(256));
2022-11-23T02:04:39.7635372Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.7635578Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.7635708Z                 auto tmp5 = tmp4.pow(2);
2022-11-23T02:04:39.7635825Z                 tmp6_vec += tmp5;
2022-11-23T02:04:39.7635922Z                 tmp7_vec += tmp0;
2022-11-23T02:04:39.7636022Z             }
2022-11-23T02:04:39.7636290Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T02:04:39.7636552Z             tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T02:04:39.7636752Z             #pragma omp for simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 
2022-11-23T02:04:39.7636881Z             for(long i0=256; i0<256; i0+=1)
2022-11-23T02:04:39.7636977Z             {
2022-11-23T02:04:39.7637100Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.7637207Z                 auto tmp1 = out_ptr0[0];
2022-11-23T02:04:39.7637422Z                 auto tmp2 = static_cast<float>(256);
2022-11-23T02:04:39.7637546Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.7637732Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.7637860Z                 auto tmp5 = tmp4 * tmp4;
2022-11-23T02:04:39.7637971Z                 tmp6 += tmp5;
2022-11-23T02:04:39.7638080Z                 tmp7 += tmp0;
2022-11-23T02:04:39.7638156Z             }
2022-11-23T02:04:39.7638249Z         }
2022-11-23T02:04:39.7638362Z         out_ptr1[0] = tmp6;
2022-11-23T02:04:39.7638477Z         out_ptr2[0] = tmp7;
2022-11-23T02:04:39.7638572Z     }
2022-11-23T02:04:39.7638663Z     {
2022-11-23T02:04:39.7638925Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.7639020Z         float tmp6 = 0;
2022-11-23T02:04:39.7639183Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T02:04:39.7639295Z         float tmp7 = 0;
2022-11-23T02:04:39.7639473Z         auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T02:04:39.7639619Z         #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7639714Z         {
2022-11-23T02:04:39.7639902Z             #pragma omp for reduction(+:tmp6_vec) reduction(+:tmp7_vec) 
2022-11-23T02:04:39.7640081Z             for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.7640165Z             {
2022-11-23T02:04:39.7640356Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.7640531Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[0]);
2022-11-23T02:04:39.7640724Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(256));
2022-11-23T02:04:39.7640851Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.7641037Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.7641168Z                 auto tmp5 = tmp4.pow(2);
2022-11-23T02:04:39.7641265Z                 tmp6_vec += tmp5;
2022-11-23T02:04:39.7641388Z                 tmp7_vec += tmp0;
2022-11-23T02:04:39.7641484Z             }
2022-11-23T02:04:39.7641750Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T02:04:39.7642016Z             tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T02:04:39.7642216Z             #pragma omp for simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 
2022-11-23T02:04:39.7642345Z             for(long i0=256; i0<256; i0+=1)
2022-11-23T02:04:39.7642444Z             {
2022-11-23T02:04:39.7642551Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.7642681Z                 auto tmp1 = out_ptr2[0];
2022-11-23T02:04:39.7642825Z                 auto tmp2 = static_cast<float>(256);
2022-11-23T02:04:39.7642950Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.7643136Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.7643268Z                 auto tmp5 = tmp4 * tmp4;
2022-11-23T02:04:39.7643381Z                 tmp6 += tmp5;
2022-11-23T02:04:39.7643472Z                 tmp7 += tmp0;
2022-11-23T02:04:39.7643569Z             }
2022-11-23T02:04:39.7643665Z         }
2022-11-23T02:04:39.7643785Z         out_ptr3[0] = tmp6;
2022-11-23T02:04:39.7643897Z         out_ptr4[0] = tmp7;
2022-11-23T02:04:39.7643992Z     }
2022-11-23T02:04:39.7644132Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7644206Z     {
2022-11-23T02:04:39.7644324Z         #pragma omp for 
2022-11-23T02:04:39.7644445Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.7644537Z         {
2022-11-23T02:04:39.7644633Z             {
2022-11-23T02:04:39.7644894Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.7645012Z                 float tmp1 = 0;
2022-11-23T02:04:39.7645164Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T02:04:39.7645372Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.7645471Z                 {
2022-11-23T02:04:39.7645672Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7645797Z                     tmp1_vec += tmp0;
2022-11-23T02:04:39.7645894Z                 }
2022-11-23T02:04:39.7646164Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T02:04:39.7646336Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T02:04:39.7646446Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.7646543Z                 {
2022-11-23T02:04:39.7646688Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:39.7646805Z                     tmp1 += tmp0;
2022-11-23T02:04:39.7646903Z                 }
2022-11-23T02:04:39.7647022Z                 out_ptr5[i0] = tmp1;
2022-11-23T02:04:39.7647126Z             }
2022-11-23T02:04:39.7647202Z         }
2022-11-23T02:04:39.7647316Z         #pragma omp for 
2022-11-23T02:04:39.7647435Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.7647530Z         {
2022-11-23T02:04:39.7647624Z             {
2022-11-23T02:04:39.7647937Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.7648062Z                 float tmp6 = 0;
2022-11-23T02:04:39.7648217Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T02:04:39.7648336Z                 float tmp7 = 0;
2022-11-23T02:04:39.7648504Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T02:04:39.7648630Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.7648727Z                 {
2022-11-23T02:04:39.7648929Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7649112Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr5[i0]);
2022-11-23T02:04:39.7649309Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T02:04:39.7649424Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.7649637Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.7649770Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T02:04:39.7649889Z                     tmp6_vec += tmp5;
2022-11-23T02:04:39.7650010Z                     tmp7_vec += tmp0;
2022-11-23T02:04:39.7650107Z                 }
2022-11-23T02:04:39.7650374Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T02:04:39.7650681Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T02:04:39.7650859Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2022-11-23T02:04:39.7650997Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.7651092Z                 {
2022-11-23T02:04:39.7651234Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:39.7651366Z                     auto tmp1 = out_ptr5[i0];
2022-11-23T02:04:39.7651518Z                     auto tmp2 = static_cast<float>(8);
2022-11-23T02:04:39.7651652Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.7651847Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.7651958Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T02:04:39.7652072Z                     tmp6 += tmp5;
2022-11-23T02:04:39.7652186Z                     tmp7 += tmp0;
2022-11-23T02:04:39.7652285Z                 }
2022-11-23T02:04:39.7652407Z                 out_ptr6[i0] = tmp6;
2022-11-23T02:04:39.7652526Z                 out_ptr7[i0] = tmp7;
2022-11-23T02:04:39.7652604Z             }
2022-11-23T02:04:39.7652699Z         }
2022-11-23T02:04:39.7652818Z         #pragma omp for 
2022-11-23T02:04:39.7653005Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.7653101Z         {
2022-11-23T02:04:39.7653196Z             {
2022-11-23T02:04:39.7653459Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.7653581Z                 float tmp6 = 0;
2022-11-23T02:04:39.7653734Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T02:04:39.7653864Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.7653961Z                 {
2022-11-23T02:04:39.7654162Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7654344Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr7[i0]);
2022-11-23T02:04:39.7654535Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T02:04:39.7654673Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.7654873Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.7654991Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T02:04:39.7655110Z                     tmp6_vec += tmp5;
2022-11-23T02:04:39.7655207Z                 }
2022-11-23T02:04:39.7655522Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T02:04:39.7655701Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6)
2022-11-23T02:04:39.7655831Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.7655933Z                 {
2022-11-23T02:04:39.7656576Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:39.7656810Z                     auto tmp1 = out_ptr7[i0];
2022-11-23T02:04:39.7657052Z                     auto tmp2 = static_cast<float>(8);
2022-11-23T02:04:39.7657259Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.7657615Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.7657831Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T02:04:39.7658018Z                     tmp6 += tmp5;
2022-11-23T02:04:39.7658139Z                 }
2022-11-23T02:04:39.7658310Z                 out_ptr8[i0] = tmp6;
2022-11-23T02:04:39.7658408Z             }
2022-11-23T02:04:39.7658506Z         }
2022-11-23T02:04:39.7658600Z     }
2022-11-23T02:04:39.7658692Z     {
2022-11-23T02:04:39.7658959Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.7659053Z         float tmp6 = 0;
2022-11-23T02:04:39.7659217Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T02:04:39.7659362Z         #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7659457Z         {
2022-11-23T02:04:39.7659612Z             #pragma omp for reduction(+:tmp6_vec) 
2022-11-23T02:04:39.7659736Z             for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.7659831Z             {
2022-11-23T02:04:39.7660000Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.7660182Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr4[0]);
2022-11-23T02:04:39.7660372Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(256));
2022-11-23T02:04:39.7660502Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.7660690Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.7660823Z                 auto tmp5 = tmp4.pow(2);
2022-11-23T02:04:39.7660941Z                 tmp6_vec += tmp5;
2022-11-23T02:04:39.7661037Z             }
2022-11-23T02:04:39.7661283Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T02:04:39.7661459Z             #pragma omp for simd simdlen(4) reduction(+:tmp6) 
2022-11-23T02:04:39.7661587Z             for(long i0=256; i0<256; i0+=1)
2022-11-23T02:04:39.7661680Z             {
2022-11-23T02:04:39.7661805Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.7662097Z                 auto tmp1 = out_ptr4[0];
2022-11-23T02:04:39.7662247Z                 auto tmp2 = static_cast<float>(256);
2022-11-23T02:04:39.7662372Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.7662539Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.7662665Z                 auto tmp5 = tmp4 * tmp4;
2022-11-23T02:04:39.7662777Z                 tmp6 += tmp5;
2022-11-23T02:04:39.7662876Z             }
2022-11-23T02:04:39.7662970Z         }
2022-11-23T02:04:39.7663085Z         out_ptr9[0] = tmp6;
2022-11-23T02:04:39.7663160Z     }
2022-11-23T02:04:39.7663299Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7663393Z     {
2022-11-23T02:04:39.7663507Z         #pragma omp for 
2022-11-23T02:04:39.7663627Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.7663723Z         {
2022-11-23T02:04:39.7663817Z             {
2022-11-23T02:04:39.7663894Z                 {
2022-11-23T02:04:39.7664013Z                     float tmp1 = 0;
2022-11-23T02:04:39.7664147Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:39.7664250Z                     {
2022-11-23T02:04:39.7664352Z                         {
2022-11-23T02:04:39.7664502Z                             auto tmp0 = in_ptr0[i0 + (32*i1)];
2022-11-23T02:04:39.7664689Z                             tmp1 += tmp0;
2022-11-23T02:04:39.7664780Z                         }
2022-11-23T02:04:39.7664880Z                     }
2022-11-23T02:04:39.7665004Z                     out_ptr10[i0] = tmp1;
2022-11-23T02:04:39.7665101Z                 }
2022-11-23T02:04:39.7665198Z             }
2022-11-23T02:04:39.7665291Z         }
2022-11-23T02:04:39.7665388Z         #pragma omp for 
2022-11-23T02:04:39.7665508Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.7665605Z         {
2022-11-23T02:04:39.7665700Z             {
2022-11-23T02:04:39.7665795Z                 {
2022-11-23T02:04:39.7665912Z                     float tmp6 = 0;
2022-11-23T02:04:39.7666030Z                     float tmp7 = 0;
2022-11-23T02:04:39.7666149Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:39.7666250Z                     {
2022-11-23T02:04:39.7666349Z                         {
2022-11-23T02:04:39.7666496Z                             auto tmp0 = in_ptr0[i0 + (32*i1)];
2022-11-23T02:04:39.7666641Z                             auto tmp1 = out_ptr10[i0];
2022-11-23T02:04:39.7666793Z                             auto tmp2 = static_cast<float>(8);
2022-11-23T02:04:39.7666929Z                             auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.7667117Z                             auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.7667250Z                             auto tmp5 = tmp4 * tmp4;
2022-11-23T02:04:39.7667370Z                             tmp6 += tmp5;
2022-11-23T02:04:39.7667488Z                             tmp7 += tmp0;
2022-11-23T02:04:39.7667590Z                         }
2022-11-23T02:04:39.7667691Z                     }
2022-11-23T02:04:39.7667813Z                     out_ptr11[i0] = tmp6;
2022-11-23T02:04:39.7667921Z                     out_ptr12[i0] = tmp7;
2022-11-23T02:04:39.7668019Z                 }
2022-11-23T02:04:39.7668115Z             }
2022-11-23T02:04:39.7668208Z         }
2022-11-23T02:04:39.7668324Z         #pragma omp for 
2022-11-23T02:04:39.7668448Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.7668541Z         {
2022-11-23T02:04:39.7668620Z             {
2022-11-23T02:04:39.7668713Z                 {
2022-11-23T02:04:39.7668834Z                     float tmp6 = 0;
2022-11-23T02:04:39.7668967Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:39.7669067Z                     {
2022-11-23T02:04:39.7669168Z                         {
2022-11-23T02:04:39.7669318Z                             auto tmp0 = in_ptr0[i0 + (32*i1)];
2022-11-23T02:04:39.7669444Z                             auto tmp1 = out_ptr12[i0];
2022-11-23T02:04:39.7669596Z                             auto tmp2 = static_cast<float>(8);
2022-11-23T02:04:39.7669734Z                             auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.7670001Z                             auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.7670138Z                             auto tmp5 = tmp4 * tmp4;
2022-11-23T02:04:39.7670258Z                             tmp6 += tmp5;
2022-11-23T02:04:39.7670359Z                         }
2022-11-23T02:04:39.7670444Z                     }
2022-11-23T02:04:39.7670565Z                     out_ptr13[i0] = tmp6;
2022-11-23T02:04:39.7670658Z                 }
2022-11-23T02:04:39.7670754Z             }
2022-11-23T02:04:39.7670846Z         }
2022-11-23T02:04:39.7670965Z         #pragma omp single
2022-11-23T02:04:39.7671061Z         {
2022-11-23T02:04:39.7671138Z             {
2022-11-23T02:04:39.7671233Z                 {
2022-11-23T02:04:39.7671369Z                     auto tmp0 = out_ptr1[0];
2022-11-23T02:04:39.7671518Z                     auto tmp1 = static_cast<float>(255);
2022-11-23T02:04:39.7671651Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7671779Z                     in_out_ptr0[0] = tmp2;
2022-11-23T02:04:39.7671861Z                 }
2022-11-23T02:04:39.7671961Z             }
2022-11-23T02:04:39.7672055Z         }
2022-11-23T02:04:39.7672173Z         #pragma omp single
2022-11-23T02:04:39.7672267Z         {
2022-11-23T02:04:39.7672363Z             {
2022-11-23T02:04:39.7672507Z                 {
2022-11-23T02:04:39.7672628Z                     auto tmp0 = out_ptr3[0];
2022-11-23T02:04:39.7672783Z                     auto tmp1 = static_cast<float>(256);
2022-11-23T02:04:39.7672915Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7673042Z                     in_out_ptr1[0] = tmp2;
2022-11-23T02:04:39.7673139Z                 }
2022-11-23T02:04:39.7673236Z             }
2022-11-23T02:04:39.7673333Z         }
2022-11-23T02:04:39.7673428Z         #pragma omp for 
2022-11-23T02:04:39.7673552Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.7673649Z         {
2022-11-23T02:04:39.7673843Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr6 + 8*i0);
2022-11-23T02:04:39.7674035Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(7));
2022-11-23T02:04:39.7674160Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7674299Z             tmp2.store(in_out_ptr2 + 8*i0);
2022-11-23T02:04:39.7674375Z         }
2022-11-23T02:04:39.7674595Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.7674720Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T02:04:39.7674815Z         {
2022-11-23T02:04:39.7674940Z             auto tmp0 = out_ptr6[i0];
2022-11-23T02:04:39.7675086Z             auto tmp1 = static_cast<float>(7);
2022-11-23T02:04:39.7675208Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7675309Z             in_out_ptr2[i0] = tmp2;
2022-11-23T02:04:39.7675403Z         }
2022-11-23T02:04:39.7675517Z         #pragma omp for 
2022-11-23T02:04:39.7675636Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.7675731Z         {
2022-11-23T02:04:39.7675918Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr8 + 8*i0);
2022-11-23T02:04:39.7676108Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T02:04:39.7676212Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7676351Z             tmp2.store(in_out_ptr3 + 8*i0);
2022-11-23T02:04:39.7676445Z         }
2022-11-23T02:04:39.7676585Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.7676701Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T02:04:39.7676800Z         {
2022-11-23T02:04:39.7676924Z             auto tmp0 = out_ptr8[i0];
2022-11-23T02:04:39.7677046Z             auto tmp1 = static_cast<float>(8);
2022-11-23T02:04:39.7677170Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7677290Z             in_out_ptr3[i0] = tmp2;
2022-11-23T02:04:39.7677385Z         }
2022-11-23T02:04:39.7677501Z         #pragma omp single
2022-11-23T02:04:39.7677598Z         {
2022-11-23T02:04:39.7677693Z             {
2022-11-23T02:04:39.7677776Z                 {
2022-11-23T02:04:39.7677909Z                     auto tmp0 = out_ptr9[0];
2022-11-23T02:04:39.7678122Z                     auto tmp1 = static_cast<float>(256);
2022-11-23T02:04:39.7678255Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7678398Z                     auto tmp3 = std::sqrt(tmp2);
2022-11-23T02:04:39.7678533Z                     in_out_ptr4[0] = tmp3;
2022-11-23T02:04:39.7678633Z                 }
2022-11-23T02:04:39.7678710Z             }
2022-11-23T02:04:39.7678807Z         }
2022-11-23T02:04:39.7678921Z         #pragma omp for 
2022-11-23T02:04:39.7679039Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.7679134Z         {
2022-11-23T02:04:39.7679322Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr11 + 8*i0);
2022-11-23T02:04:39.7679509Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(7));
2022-11-23T02:04:39.7679615Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7679737Z             auto tmp3 = tmp2.sqrt();
2022-11-23T02:04:39.7679877Z             tmp3.store(in_out_ptr5 + 8*i0);
2022-11-23T02:04:39.7679976Z         }
2022-11-23T02:04:39.7680112Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.7680232Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T02:04:39.7680325Z         {
2022-11-23T02:04:39.7680433Z             auto tmp0 = out_ptr11[i0];
2022-11-23T02:04:39.7680625Z             auto tmp1 = static_cast<float>(7);
2022-11-23T02:04:39.7680755Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7680890Z             auto tmp3 = std::sqrt(tmp2);
2022-11-23T02:04:39.7681011Z             in_out_ptr5[i0] = tmp3;
2022-11-23T02:04:39.7681110Z         }
2022-11-23T02:04:39.7681225Z         #pragma omp for 
2022-11-23T02:04:39.7681324Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.7681418Z         {
2022-11-23T02:04:39.7681608Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr13 + 8*i0);
2022-11-23T02:04:39.7681797Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T02:04:39.7681921Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7682047Z             auto tmp3 = tmp2.sqrt();
2022-11-23T02:04:39.7682184Z             tmp3.store(in_out_ptr6 + 8*i0);
2022-11-23T02:04:39.7682260Z         }
2022-11-23T02:04:39.7682397Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.7682519Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T02:04:39.7682613Z         {
2022-11-23T02:04:39.7682740Z             auto tmp0 = out_ptr13[i0];
2022-11-23T02:04:39.7682884Z             auto tmp1 = static_cast<float>(8);
2022-11-23T02:04:39.7683007Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.7683122Z             auto tmp3 = std::sqrt(tmp2);
2022-11-23T02:04:39.7683245Z             in_out_ptr6[i0] = tmp3;
2022-11-23T02:04:39.7683339Z         }
2022-11-23T02:04:39.7683453Z         #pragma omp for 
2022-11-23T02:04:39.7683571Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.7683672Z         {
2022-11-23T02:04:39.7683775Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.7683871Z             {
2022-11-23T02:04:39.7684080Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T02:04:39.7684284Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8 + (8*i1) + (32*i0));
2022-11-23T02:04:39.7684489Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16 + (8*i1) + (32*i0));
2022-11-23T02:04:39.7684693Z                 auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr0 + 24 + (8*i1) + (32*i0));
2022-11-23T02:04:39.7684822Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7684951Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.7685075Z                 auto tmp6 = tmp4 + tmp5;
2022-11-23T02:04:39.7685245Z                 auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(4));
2022-11-23T02:04:39.7685370Z                 auto tmp8 = tmp6 / tmp7;
2022-11-23T02:04:39.7685588Z                 auto tmp9 = tmp0 - tmp8;
2022-11-23T02:04:39.7685723Z                 auto tmp10 = tmp9.pow(2);
2022-11-23T02:04:39.7685975Z                 auto tmp11 = tmp1 - tmp8;
2022-11-23T02:04:39.7686108Z                 auto tmp12 = tmp11.pow(2);
2022-11-23T02:04:39.7686242Z                 auto tmp13 = tmp10 + tmp12;
2022-11-23T02:04:39.7686408Z                 auto tmp14 = tmp3 - tmp8;
2022-11-23T02:04:39.7686605Z                 auto tmp15 = tmp14.pow(2);
2022-11-23T02:04:39.7686743Z                 auto tmp16 = tmp13 + tmp15;
2022-11-23T02:04:39.7686937Z                 auto tmp17 = tmp5 - tmp8;
2022-11-23T02:04:39.7687066Z                 auto tmp18 = tmp17.pow(2);
2022-11-23T02:04:39.7687197Z                 auto tmp19 = tmp16 + tmp18;
2022-11-23T02:04:39.7687393Z                 auto tmp20 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T02:04:39.7687507Z                 auto tmp21 = tmp19 / tmp20;
2022-11-23T02:04:39.7687641Z                 auto tmp22 = tmp21.sqrt();
2022-11-23T02:04:39.7687792Z                 tmp22.store(out_ptr14 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7687888Z             }
2022-11-23T02:04:39.7688030Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:39.7688153Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.7688249Z             {
2022-11-23T02:04:39.7688368Z                 auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T02:04:39.7688568Z                 auto tmp1 = in_ptr0[8 + i1 + (32*i0)];
2022-11-23T02:04:39.7688718Z                 auto tmp3 = in_ptr0[16 + i1 + (32*i0)];
2022-11-23T02:04:39.7688858Z                 auto tmp5 = in_ptr0[24 + i1 + (32*i0)];
2022-11-23T02:04:39.7688984Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7689109Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.7689234Z                 auto tmp6 = tmp4 + tmp5;
2022-11-23T02:04:39.7689378Z                 auto tmp7 = static_cast<float>(4);
2022-11-23T02:04:39.7689486Z                 auto tmp8 = tmp6 / tmp7;
2022-11-23T02:04:39.7689676Z                 auto tmp9 = tmp0 - tmp8;
2022-11-23T02:04:39.7689803Z                 auto tmp10 = tmp9 * tmp9;
2022-11-23T02:04:39.7689994Z                 auto tmp11 = tmp1 - tmp8;
2022-11-23T02:04:39.7690125Z                 auto tmp12 = tmp11 * tmp11;
2022-11-23T02:04:39.7690260Z                 auto tmp13 = tmp10 + tmp12;
2022-11-23T02:04:39.7690444Z                 auto tmp14 = tmp3 - tmp8;
2022-11-23T02:04:39.7690564Z                 auto tmp15 = tmp14 * tmp14;
2022-11-23T02:04:39.7690693Z                 auto tmp16 = tmp13 + tmp15;
2022-11-23T02:04:39.7690875Z                 auto tmp17 = tmp5 - tmp8;
2022-11-23T02:04:39.7691005Z                 auto tmp18 = tmp17 * tmp17;
2022-11-23T02:04:39.7691133Z                 auto tmp19 = tmp16 + tmp18;
2022-11-23T02:04:39.7691277Z                 auto tmp20 = static_cast<float>(3);
2022-11-23T02:04:39.7691406Z                 auto tmp21 = tmp19 / tmp20;
2022-11-23T02:04:39.7691537Z                 auto tmp22 = std::sqrt(tmp21);
2022-11-23T02:04:39.7691669Z                 out_ptr14[i1 + (8*i0)] = tmp22;
2022-11-23T02:04:39.7691765Z             }
2022-11-23T02:04:39.7691866Z         }
2022-11-23T02:04:39.7691962Z     }
2022-11-23T02:04:39.7692054Z }
2022-11-23T02:04:39.7692153Z ''')
2022-11-23T02:04:39.7692202Z 
2022-11-23T02:04:39.7692221Z 
2022-11-23T02:04:39.7692333Z async_compile.wait(globals())
2022-11-23T02:04:39.7692443Z del async_compile
2022-11-23T02:04:39.7692466Z 
2022-11-23T02:04:39.7692573Z def call(args):
2022-11-23T02:04:39.7692678Z     arg0_1, = args
2022-11-23T02:04:39.7692785Z     args.clear()
2022-11-23T02:04:39.7693078Z     buf0 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7693328Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7693589Z     buf2 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7693845Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7694123Z     buf8 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7694527Z     buf4 = empty_strided((2, 4, 4, 1), (16, 4, 1, 32), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7694800Z     buf5 = empty_strided((2, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7695085Z     buf6 = empty_strided((2, 4, 4, 1), (16, 4, 1, 32), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7695354Z     buf7 = empty_strided((2, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7695602Z     buf9 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7695867Z     buf10 = empty_strided((1, 1, 4, 8), (32, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7696746Z     buf11 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7697248Z     buf12 = empty_strided((1, 1, 4, 8), (32, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7697687Z     buf13 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7697899Z     buf14 = buf1; del buf1  # reuse
2022-11-23T02:04:39.7698100Z     buf15 = buf3; del buf3  # reuse
2022-11-23T02:04:39.7698281Z     buf16 = buf5; del buf5  # reuse
2022-11-23T02:04:39.7698406Z     buf17 = buf7; del buf7  # reuse
2022-11-23T02:04:39.7698506Z     buf18 = buf9; del buf9  # reuse
2022-11-23T02:04:39.7698777Z     buf19 = buf11; del buf11  # reuse
2022-11-23T02:04:39.7698906Z     buf20 = buf13; del buf13  # reuse
2022-11-23T02:04:39.7699204Z     buf21 = empty_strided((2, 4, 1, 8), (32, 8, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7699818Z     kernel_cpp_0(c_void_p(buf14.data_ptr()), c_void_p(buf15.data_ptr()), c_void_p(buf16.data_ptr()), c_void_p(buf17.data_ptr()), c_void_p(buf18.data_ptr()), c_void_p(buf19.data_ptr()), c_void_p(buf20.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf12.data_ptr()), c_void_p(buf21.data_ptr()))
2022-11-23T02:04:39.7699931Z     del arg0_1
2022-11-23T02:04:39.7700096Z     return (buf14, buf15, buf16, buf17, buf18, buf19, buf20, buf21, )
2022-11-23T02:04:39.7700118Z 
2022-11-23T02:04:39.7700137Z 
2022-11-23T02:04:39.7700254Z if __name__ == "__main__":
2022-11-23T02:04:39.7700421Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7700579Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7700871Z     arg0_1 = rand_strided((2, 4, 4, 8), (128, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7701026Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.7701516Z [2022-11-23 01:59:53,073] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h2/ch2zn7ytj47mpn5baua6advqqk6jsvfmipfdfh4nf2lmnf3izc2j.py
2022-11-23T02:04:39.7701876Z [2022-11-23 01:59:53,074] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 307
2022-11-23T02:04:39.7701896Z 
2022-11-23T02:04:39.7702001Z ok (3.365s)
2022-11-23T02:04:39.7702421Z   test_strided_inputs_cpu (__main__.CpuTests) ... [2022-11-23 01:59:53,084] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:39.7702847Z [2022-11-23 01:59:53,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3204
2022-11-23T02:04:39.7703135Z [2022-11-23 01:59:53,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.7703442Z [2022-11-23 01:59:53,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:39.7703808Z [2022-11-23 01:59:53,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7704137Z [2022-11-23 01:59:53,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.7704451Z [2022-11-23 01:59:53,086] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:39.7704876Z [2022-11-23 01:59:53,087] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.7705199Z [2022-11-23 01:59:53,095] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.7705462Z [2022-11-23 01:59:53,096] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7705655Z  __compiled_fn_316 <eval_with_key>.2370 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7705778Z placeholder, x, x, (), {}
2022-11-23T02:04:39.7705878Z placeholder, y, y, (), {}
2022-11-23T02:04:39.7706109Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T02:04:39.7706248Z output, output, output, ((add,),), {}
2022-11-23T02:04:39.7706267Z 
2022-11-23T02:04:39.7706698Z [2022-11-23 01:59:53,096] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3202 
2022-11-23T02:04:39.7706831Z 3204           0 LOAD_FAST                0 (x)
2022-11-23T02:04:39.7706968Z                2 LOAD_FAST                1 (y)
2022-11-23T02:04:39.7707076Z                4 BINARY_ADD
2022-11-23T02:04:39.7707169Z                6 RETURN_VALUE
2022-11-23T02:04:39.7707208Z 
2022-11-23T02:04:39.7707283Z  
2022-11-23T02:04:39.7707773Z [2022-11-23 01:59:53,097] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3202 
2022-11-23T02:04:39.7707940Z 3202           0 LOAD_GLOBAL              0 (__compiled_fn_316)
2022-11-23T02:04:39.7708071Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:39.7708200Z                4 LOAD_FAST                1 (y)
2022-11-23T02:04:39.7708330Z                6 CALL_FUNCTION            2
2022-11-23T02:04:39.7708463Z                8 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.7708556Z               10 RETURN_VALUE
2022-11-23T02:04:39.7708576Z 
2022-11-23T02:04:39.7708670Z  
2022-11-23T02:04:39.7708926Z [2022-11-23 01:59:53,097] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7709043Z  - 
2022-11-23T02:04:39.7709214Z             local 'x' TENSOR_MATCH
2022-11-23T02:04:39.7709315Z             {
2022-11-23T02:04:39.7709514Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7709653Z                 'code': None,
2022-11-23T02:04:39.7709943Z                 'obj_weakref': <weakref at 0x7fa53c3e28e0; to 'Tensor' at 0x7fa51c2ad1c0>
2022-11-23T02:04:39.7710287Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7710384Z             }
2022-11-23T02:04:39.7710480Z             
2022-11-23T02:04:39.7710586Z  - 
2022-11-23T02:04:39.7710755Z             local 'y' TENSOR_MATCH
2022-11-23T02:04:39.7710833Z             {
2022-11-23T02:04:39.7711031Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7711183Z                 'code': None,
2022-11-23T02:04:39.7711462Z                 'obj_weakref': <weakref at 0x7fa53c3e05e0; to 'Tensor' at 0x7fa51c24c400>
2022-11-23T02:04:39.7711798Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7711897Z             }
2022-11-23T02:04:39.7711992Z             
2022-11-23T02:04:39.7712348Z [2022-11-23 01:59:53,107] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 308
2022-11-23T02:04:39.7712815Z [2022-11-23 01:59:55,666] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qr/cqr4vd2xykwlaazx35je22aoltct7kdziarh3pzzncdb45vq2mlm.py
2022-11-23T02:04:39.7713173Z [2022-11-23 01:59:55,667] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 308
2022-11-23T02:04:39.7713193Z 
2022-11-23T02:04:39.7713332Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7713437Z import torch
2022-11-23T02:04:39.7713545Z import random
2022-11-23T02:04:39.7713710Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7713964Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7713985Z 
2022-11-23T02:04:39.7714100Z aten = torch.ops.aten
2022-11-23T02:04:39.7714269Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7714405Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7714428Z 
2022-11-23T02:04:39.7714449Z 
2022-11-23T02:04:39.7714643Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.7714921Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.7715088Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.7715237Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.7715379Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.7715472Z {
2022-11-23T02:04:39.7715594Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7715688Z     {
2022-11-23T02:04:39.7715800Z         #pragma omp for 
2022-11-23T02:04:39.7715920Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T02:04:39.7716019Z         {
2022-11-23T02:04:39.7716115Z             {
2022-11-23T02:04:39.7716195Z                 {
2022-11-23T02:04:39.7716328Z                     auto tmp0 = in_ptr0[2*i0];
2022-11-23T02:04:39.7716511Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:39.7716650Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7716775Z                     out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.7716874Z                 }
2022-11-23T02:04:39.7716970Z             }
2022-11-23T02:04:39.7717046Z         }
2022-11-23T02:04:39.7717141Z     }
2022-11-23T02:04:39.7717232Z }
2022-11-23T02:04:39.7717354Z ''')
2022-11-23T02:04:39.7717375Z 
2022-11-23T02:04:39.7717394Z 
2022-11-23T02:04:39.7717527Z async_compile.wait(globals())
2022-11-23T02:04:39.7717634Z del async_compile
2022-11-23T02:04:39.7717653Z 
2022-11-23T02:04:39.7717763Z def call(args):
2022-11-23T02:04:39.7717856Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.7717965Z     args.clear()
2022-11-23T02:04:39.7718248Z     buf0 = empty_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7718476Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.7718580Z     del arg0_1
2022-11-23T02:04:39.7718687Z     del arg1_1
2022-11-23T02:04:39.7718797Z     return (buf0, )
2022-11-23T02:04:39.7718817Z 
2022-11-23T02:04:39.7718835Z 
2022-11-23T02:04:39.7718947Z if __name__ == "__main__":
2022-11-23T02:04:39.7719093Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7719268Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7719544Z     arg0_1 = rand_strided((8, 16), (32, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7719817Z     arg1_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7719981Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.7720000Z 
2022-11-23T02:04:39.7720101Z ok (2.591s)
2022-11-23T02:04:39.7720508Z   test_sum1_cpu (__main__.CpuTests) ... [2022-11-23 01:59:55,673] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.7720936Z [2022-11-23 01:59:55,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.7721210Z [2022-11-23 01:59:55,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.7721557Z [2022-11-23 01:59:55,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.7721932Z [2022-11-23 01:59:55,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7722367Z [2022-11-23 01:59:55,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7722830Z [2022-11-23 01:59:55,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7723365Z [2022-11-23 01:59:55,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7723861Z [2022-11-23 01:59:55,675] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641159370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 725> 
2022-11-23T02:04:39.7723998Z  726           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7724134Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:39.7724245Z               4 BINARY_ADD
2022-11-23T02:04:39.7724364Z               6 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.7724561Z               8 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.7724686Z              10 CALL_METHOD              1
2022-11-23T02:04:39.7724814Z              12 BUILD_TUPLE              1
2022-11-23T02:04:39.7724933Z              14 RETURN_VALUE
2022-11-23T02:04:39.7725031Z  
2022-11-23T02:04:39.7725051Z 
2022-11-23T02:04:39.7725524Z [2022-11-23 01:59:55,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:726
2022-11-23T02:04:39.7725799Z [2022-11-23 01:59:55,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.7726124Z [2022-11-23 01:59:55,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:39.7726492Z [2022-11-23 01:59:55,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7726817Z [2022-11-23 01:59:55,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T02:04:39.7727187Z [2022-11-23 01:59:55,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.7727615Z [2022-11-23 01:59:55,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T02:04:39.7727941Z [2022-11-23 01:59:55,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:39.7728271Z [2022-11-23 01:59:55,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7728770Z [2022-11-23 01:59:55,679] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641159370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 725>
2022-11-23T02:04:39.7729102Z [2022-11-23 01:59:55,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7729399Z [2022-11-23 01:59:55,679] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.7729746Z [2022-11-23 01:59:55,681] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.7730090Z [2022-11-23 01:59:55,686] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.7730351Z [2022-11-23 01:59:55,687] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7730631Z  __compiled_fn_317 <eval_with_key>.2376 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7730763Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.7730889Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.7731137Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.7731305Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T02:04:39.7731443Z output, output, output, ((sum_1,),), {}
2022-11-23T02:04:39.7731462Z 
2022-11-23T02:04:39.7731898Z [2022-11-23 01:59:55,687] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7732033Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7732233Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7732361Z               4 BUILD_MAP                0
2022-11-23T02:04:39.7732496Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.7732625Z               8 DICT_MERGE               1
2022-11-23T02:04:39.7732738Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.7732852Z              12 RETURN_VALUE
2022-11-23T02:04:39.7732871Z 
2022-11-23T02:04:39.7732965Z  
2022-11-23T02:04:39.7733396Z [2022-11-23 01:59:55,688] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7733551Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_317)
2022-11-23T02:04:39.7733681Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7733816Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7733932Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.7734053Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7734180Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.7734290Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.7734418Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.7734629Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.7734782Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7734913Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7735006Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.7735131Z              24 BUILD_TUPLE              1
2022-11-23T02:04:39.7735243Z              26 RETURN_VALUE
2022-11-23T02:04:39.7735264Z 
2022-11-23T02:04:39.7735357Z  
2022-11-23T02:04:39.7735616Z [2022-11-23 01:59:55,689] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7735724Z  - 
2022-11-23T02:04:39.7735894Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.7735973Z             {
2022-11-23T02:04:39.7736809Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.7737272Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.7737554Z                 'obj_weakref': None
2022-11-23T02:04:39.7738090Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.7738213Z             }
2022-11-23T02:04:39.7738309Z             
2022-11-23T02:04:39.7738402Z  - 
2022-11-23T02:04:39.7738579Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7738675Z             {
2022-11-23T02:04:39.7738877Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7739029Z                 'code': None,
2022-11-23T02:04:39.7739316Z                 'obj_weakref': <weakref at 0x7fa51c53c9f0; to 'Tensor' at 0x7fa550482250>
2022-11-23T02:04:39.7739657Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7739735Z             }
2022-11-23T02:04:39.7739836Z             
2022-11-23T02:04:39.7739940Z  - 
2022-11-23T02:04:39.7740115Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.7740209Z             {
2022-11-23T02:04:39.7740407Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7740561Z                 'code': None,
2022-11-23T02:04:39.7740831Z                 'obj_weakref': <weakref at 0x7fa51c53e700; to 'Tensor' at 0x7fa51c2ad1c0>
2022-11-23T02:04:39.7741172Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7741269Z             }
2022-11-23T02:04:39.7741363Z             
2022-11-23T02:04:39.7741468Z  - 
2022-11-23T02:04:39.7741652Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7741749Z             {
2022-11-23T02:04:39.7741919Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7742148Z                 'code': ['___check_obj_id(model, 140347484694000)'],
2022-11-23T02:04:39.7742468Z                 'obj_weakref': None
2022-11-23T02:04:39.7742779Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7742876Z             }
2022-11-23T02:04:39.7742971Z             
2022-11-23T02:04:39.7743075Z  - 
2022-11-23T02:04:39.7743230Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7743327Z             {
2022-11-23T02:04:39.7743516Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7743812Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7743977Z                 'obj_weakref': None
2022-11-23T02:04:39.7744277Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7744374Z             }
2022-11-23T02:04:39.7744450Z             
2022-11-23T02:04:39.7744803Z [2022-11-23 01:59:55,699] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 309
2022-11-23T02:04:39.7745301Z [2022-11-23 01:59:58,265] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n6/cn6qxesc5ai4rsj53u46jpcgfy7hxgwymke5ht6gpwk6fmgwhxs4.py
2022-11-23T02:04:39.7745734Z [2022-11-23 01:59:58,265] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 309
2022-11-23T02:04:39.7745760Z 
2022-11-23T02:04:39.7745901Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7746006Z import torch
2022-11-23T02:04:39.7746111Z import random
2022-11-23T02:04:39.7746275Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7746430Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7746449Z 
2022-11-23T02:04:39.7746566Z aten = torch.ops.aten
2022-11-23T02:04:39.7746759Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7746892Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7746911Z 
2022-11-23T02:04:39.7746929Z 
2022-11-23T02:04:39.7747125Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.7747407Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.7747576Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.7747727Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.7747854Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.7747949Z {
2022-11-23T02:04:39.7748091Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7748186Z     {
2022-11-23T02:04:39.7748303Z         #pragma omp for 
2022-11-23T02:04:39.7748426Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.7748519Z         {
2022-11-23T02:04:39.7748596Z             {
2022-11-23T02:04:39.7748878Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.7748995Z                 float tmp3 = 0;
2022-11-23T02:04:39.7749167Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T02:04:39.7749301Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.7749399Z                 {
2022-11-23T02:04:39.7749602Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7749805Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7749925Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7750049Z                     tmp3_vec += tmp2;
2022-11-23T02:04:39.7750147Z                 }
2022-11-23T02:04:39.7750416Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T02:04:39.7750586Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T02:04:39.7750719Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.7750817Z                 {
2022-11-23T02:04:39.7750956Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:39.7751172Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T02:04:39.7751303Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7751420Z                     tmp3 += tmp2;
2022-11-23T02:04:39.7751516Z                 }
2022-11-23T02:04:39.7751641Z                 out_ptr0[i0] = tmp3;
2022-11-23T02:04:39.7751736Z             }
2022-11-23T02:04:39.7751831Z         }
2022-11-23T02:04:39.7751908Z     }
2022-11-23T02:04:39.7751998Z }
2022-11-23T02:04:39.7752129Z ''')
2022-11-23T02:04:39.7752148Z 
2022-11-23T02:04:39.7752167Z 
2022-11-23T02:04:39.7752298Z async_compile.wait(globals())
2022-11-23T02:04:39.7752409Z del async_compile
2022-11-23T02:04:39.7752428Z 
2022-11-23T02:04:39.7752540Z def call(args):
2022-11-23T02:04:39.7752716Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.7752806Z     args.clear()
2022-11-23T02:04:39.7753076Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7753305Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.7753412Z     del arg0_1
2022-11-23T02:04:39.7753514Z     del arg1_1
2022-11-23T02:04:39.7753620Z     return (buf0, )
2022-11-23T02:04:39.7753639Z 
2022-11-23T02:04:39.7753658Z 
2022-11-23T02:04:39.7753826Z if __name__ == "__main__":
2022-11-23T02:04:39.7753979Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7754153Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7754428Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7754696Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7754857Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.7754876Z 
2022-11-23T02:04:39.7754977Z ok (2.599s)
2022-11-23T02:04:39.7755379Z   test_sum2_cpu (__main__.CpuTests) ... [2022-11-23 01:59:58,272] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.7755815Z [2022-11-23 01:59:58,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.7756114Z [2022-11-23 01:59:58,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.7756438Z [2022-11-23 01:59:58,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.7756815Z [2022-11-23 01:59:58,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7757250Z [2022-11-23 01:59:58,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7757715Z [2022-11-23 01:59:58,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7758140Z [2022-11-23 01:59:58,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7758648Z [2022-11-23 01:59:58,274] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa6411594d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 731> 
2022-11-23T02:04:39.7758784Z  732           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7758918Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:39.7759030Z               4 BINARY_ADD
2022-11-23T02:04:39.7759151Z               6 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.7759283Z               8 LOAD_CONST               1 (1)
2022-11-23T02:04:39.7759414Z              10 LOAD_CONST               2 (2)
2022-11-23T02:04:39.7759543Z              12 BUILD_LIST               2
2022-11-23T02:04:39.7759670Z              14 CALL_METHOD              1
2022-11-23T02:04:39.7759805Z              16 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7759993Z              18 LOAD_FAST                1 (b)
2022-11-23T02:04:39.7760082Z              20 BINARY_ADD
2022-11-23T02:04:39.7760219Z              22 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.7760416Z              24 LOAD_CONST               3 (-1)
2022-11-23T02:04:39.7760547Z              26 CALL_METHOD              1
2022-11-23T02:04:39.7760674Z              28 BUILD_TUPLE              2
2022-11-23T02:04:39.7760787Z              30 RETURN_VALUE
2022-11-23T02:04:39.7760883Z  
2022-11-23T02:04:39.7760903Z 
2022-11-23T02:04:39.7761326Z [2022-11-23 01:59:58,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:732
2022-11-23T02:04:39.7761599Z [2022-11-23 01:59:58,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.7761926Z [2022-11-23 01:59:58,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:39.7762293Z [2022-11-23 01:59:58,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7762623Z [2022-11-23 01:59:58,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T02:04:39.7763044Z [2022-11-23 01:59:58,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.7763469Z [2022-11-23 01:59:58,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T02:04:39.7763935Z [2022-11-23 01:59:58,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.7764345Z [2022-11-23 01:59:58,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ListVariable()]
2022-11-23T02:04:39.7764665Z [2022-11-23 01:59:58,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T02:04:39.7765022Z [2022-11-23 01:59:58,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7765408Z [2022-11-23 01:59:58,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7765767Z [2022-11-23 01:59:58,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7766174Z [2022-11-23 01:59:58,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.7766633Z [2022-11-23 01:59:58,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T02:04:39.7766994Z [2022-11-23 01:59:58,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7767330Z [2022-11-23 01:59:58,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7767850Z [2022-11-23 01:59:58,283] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa6411594d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 731>
2022-11-23T02:04:39.7768190Z [2022-11-23 01:59:58,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7768511Z [2022-11-23 01:59:58,283] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.7768861Z [2022-11-23 01:59:58,285] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.7769180Z [2022-11-23 01:59:58,292] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.7769436Z [2022-11-23 01:59:58,293] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7769699Z  __compiled_fn_318 <eval_with_key>.2382 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7769831Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.7769960Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.7770213Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.7770351Z call_method, sum_1, sum, (add, [1, 2]), {}
2022-11-23T02:04:39.7770596Z call_function, add_1, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.7770767Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T02:04:39.7770913Z output, output, output, ((sum_1, sum_2),), {}
2022-11-23T02:04:39.7770937Z 
2022-11-23T02:04:39.7771370Z [2022-11-23 01:59:58,294] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7771507Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7771638Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7771768Z               4 BUILD_MAP                0
2022-11-23T02:04:39.7771898Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.7772005Z               8 DICT_MERGE               1
2022-11-23T02:04:39.7772134Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.7772299Z              12 RETURN_VALUE
2022-11-23T02:04:39.7772321Z 
2022-11-23T02:04:39.7772417Z  
2022-11-23T02:04:39.7772851Z [2022-11-23 01:59:58,294] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7773006Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_318)
2022-11-23T02:04:39.7773138Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7773267Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7773362Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.7773498Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7773629Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.7773748Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.7773880Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.7774028Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.7774175Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7774287Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7774405Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.7774548Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7774677Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.7774792Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.7774919Z              30 BUILD_TUPLE              2
2022-11-23T02:04:39.7775029Z              32 RETURN_VALUE
2022-11-23T02:04:39.7775049Z 
2022-11-23T02:04:39.7775144Z  
2022-11-23T02:04:39.7775381Z [2022-11-23 01:59:58,295] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7775495Z  - 
2022-11-23T02:04:39.7775673Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.7775775Z             {
2022-11-23T02:04:39.7775975Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.7776956Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.7777248Z                 'obj_weakref': None
2022-11-23T02:04:39.7777751Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.7777909Z             }
2022-11-23T02:04:39.7778062Z             
2022-11-23T02:04:39.7778179Z  - 
2022-11-23T02:04:39.7778359Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7778454Z             {
2022-11-23T02:04:39.7778631Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7778785Z                 'code': None,
2022-11-23T02:04:39.7779073Z                 'obj_weakref': <weakref at 0x7fa531ef5c60; to 'Tensor' at 0x7fa550482250>
2022-11-23T02:04:39.7779413Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7779685Z             }
2022-11-23T02:04:39.7779784Z             
2022-11-23T02:04:39.7779894Z  - 
2022-11-23T02:04:39.7780051Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.7780156Z             {
2022-11-23T02:04:39.7780358Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7780511Z                 'code': None,
2022-11-23T02:04:39.7780794Z                 'obj_weakref': <weakref at 0x7fa532310770; to 'Tensor' at 0x7fa62380cc70>
2022-11-23T02:04:39.7781135Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7781232Z             }
2022-11-23T02:04:39.7781330Z             
2022-11-23T02:04:39.7781416Z  - 
2022-11-23T02:04:39.7781596Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7781691Z             {
2022-11-23T02:04:39.7781878Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7782119Z                 'code': ['___check_obj_id(model, 140347992597568)'],
2022-11-23T02:04:39.7782285Z                 'obj_weakref': None
2022-11-23T02:04:39.7782591Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7782748Z             }
2022-11-23T02:04:39.7782850Z             
2022-11-23T02:04:39.7782956Z  - 
2022-11-23T02:04:39.7783130Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7783228Z             {
2022-11-23T02:04:39.7783418Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7783688Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7783857Z                 'obj_weakref': None
2022-11-23T02:04:39.7784158Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7784253Z             }
2022-11-23T02:04:39.7784351Z             
2022-11-23T02:04:39.7784710Z [2022-11-23 01:59:58,308] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 310
2022-11-23T02:04:39.7785208Z [2022-11-23 02:00:00,940] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4w/c4wkiopryzc6gha3kvnly3frq5mummigv5xi4htx4b6jbzzdc6v4.py
2022-11-23T02:04:39.7785566Z [2022-11-23 02:00:00,941] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 310
2022-11-23T02:04:39.7785587Z 
2022-11-23T02:04:39.7785723Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7785810Z import torch
2022-11-23T02:04:39.7785916Z import random
2022-11-23T02:04:39.7786081Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7786253Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7786272Z 
2022-11-23T02:04:39.7786387Z aten = torch.ops.aten
2022-11-23T02:04:39.7786577Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7786771Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7786796Z 
2022-11-23T02:04:39.7786815Z 
2022-11-23T02:04:39.7787011Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.7787270Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.7787443Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.7787595Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.7787741Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.7787882Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.7787977Z {
2022-11-23T02:04:39.7788116Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7788191Z     {
2022-11-23T02:04:39.7788307Z         #pragma omp for 
2022-11-23T02:04:39.7788424Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.7788520Z         {
2022-11-23T02:04:39.7788636Z             #pragma GCC ivdep
2022-11-23T02:04:39.7788760Z             for(long i1=0; i1<21; i1+=1)
2022-11-23T02:04:39.7788937Z             {
2022-11-23T02:04:39.7789036Z                 {
2022-11-23T02:04:39.7789137Z                     {
2022-11-23T02:04:39.7789258Z                         float tmp3 = 0;
2022-11-23T02:04:39.7789396Z                         for(long i2=0; i2<27; i2+=1)
2022-11-23T02:04:39.7789504Z                         {
2022-11-23T02:04:39.7789609Z                             {
2022-11-23T02:04:39.7789753Z                                 auto tmp0 = in_ptr0[i1 + (21*i2) + (567*i0)];
2022-11-23T02:04:39.7789915Z                                 auto tmp1 = in_ptr1[i1 + (21*i2) + (567*i0)];
2022-11-23T02:04:39.7790060Z                                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7790188Z                                 tmp3 += tmp2;
2022-11-23T02:04:39.7790290Z                             }
2022-11-23T02:04:39.7790392Z                         }
2022-11-23T02:04:39.7790532Z                         out_ptr0[i1 + (21*i0)] = tmp3;
2022-11-23T02:04:39.7790634Z                     }
2022-11-23T02:04:39.7790720Z                 }
2022-11-23T02:04:39.7790819Z             }
2022-11-23T02:04:39.7790914Z         }
2022-11-23T02:04:39.7791029Z         #pragma omp for 
2022-11-23T02:04:39.7791150Z         for(long i0=0; i0<216; i0+=1)
2022-11-23T02:04:39.7791247Z         {
2022-11-23T02:04:39.7791379Z             {
2022-11-23T02:04:39.7791678Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.7791794Z                 float tmp3 = 0;
2022-11-23T02:04:39.7791967Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T02:04:39.7792098Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T02:04:39.7792196Z                 {
2022-11-23T02:04:39.7792397Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (21*i0));
2022-11-23T02:04:39.7792591Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (21*i0));
2022-11-23T02:04:39.7792710Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7792832Z                     tmp3_vec += tmp2;
2022-11-23T02:04:39.7792927Z                 }
2022-11-23T02:04:39.7793199Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T02:04:39.7793369Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T02:04:39.7793497Z                 for(long i1=16; i1<21; i1+=1)
2022-11-23T02:04:39.7793595Z                 {
2022-11-23T02:04:39.7793737Z                     auto tmp0 = in_ptr0[i1 + (21*i0)];
2022-11-23T02:04:39.7793860Z                     auto tmp1 = in_ptr1[i1 + (21*i0)];
2022-11-23T02:04:39.7793994Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7794107Z                     tmp3 += tmp2;
2022-11-23T02:04:39.7794205Z                 }
2022-11-23T02:04:39.7794324Z                 out_ptr1[i0] = tmp3;
2022-11-23T02:04:39.7794421Z             }
2022-11-23T02:04:39.7794523Z         }
2022-11-23T02:04:39.7794598Z     }
2022-11-23T02:04:39.7794687Z }
2022-11-23T02:04:39.7794822Z ''')
2022-11-23T02:04:39.7794842Z 
2022-11-23T02:04:39.7794862Z 
2022-11-23T02:04:39.7794995Z async_compile.wait(globals())
2022-11-23T02:04:39.7795106Z del async_compile
2022-11-23T02:04:39.7795129Z 
2022-11-23T02:04:39.7795237Z def call(args):
2022-11-23T02:04:39.7795351Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.7795440Z     args.clear()
2022-11-23T02:04:39.7795718Z     buf0 = empty_strided((8, 21), (21, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7795996Z     buf1 = empty_strided((8, 9, 3), (27, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7796256Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.7796359Z     del arg0_1
2022-11-23T02:04:39.7796461Z     del arg1_1
2022-11-23T02:04:39.7796577Z     return (buf0, buf1, )
2022-11-23T02:04:39.7796653Z 
2022-11-23T02:04:39.7796671Z 
2022-11-23T02:04:39.7796789Z if __name__ == "__main__":
2022-11-23T02:04:39.7796936Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7797110Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7797413Z     arg0_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7797705Z     arg1_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7797869Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.7797888Z 
2022-11-23T02:04:39.7797989Z ok (2.675s)
2022-11-23T02:04:39.7798393Z   test_sum3_cpu (__main__.CpuTests) ... [2022-11-23 02:00:00,948] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.7798818Z [2022-11-23 02:00:00,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.7799100Z [2022-11-23 02:00:00,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.7799441Z [2022-11-23 02:00:00,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.7799864Z [2022-11-23 02:00:00,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7800305Z [2022-11-23 02:00:00,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7800767Z [2022-11-23 02:00:00,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7801202Z [2022-11-23 02:00:00,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7801696Z [2022-11-23 02:00:00,949] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641159630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 737> 
2022-11-23T02:04:39.7801837Z  738           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7801974Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:39.7802085Z               4 BINARY_ADD
2022-11-23T02:04:39.7802198Z               6 STORE_FAST               2 (r1)
2022-11-23T02:04:39.7802218Z 
2022-11-23T02:04:39.7802349Z 739           8 LOAD_FAST                2 (r1)
2022-11-23T02:04:39.7802485Z              10 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.7802679Z              12 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.7802808Z              14 CALL_METHOD              1
2022-11-23T02:04:39.7802939Z              16 STORE_FAST               3 (r2)
2022-11-23T02:04:39.7802957Z 
2022-11-23T02:04:39.7803094Z 740          18 LOAD_GLOBAL              1 (torch)
2022-11-23T02:04:39.7803233Z              20 LOAD_METHOD              2 (squeeze)
2022-11-23T02:04:39.7803349Z              22 LOAD_FAST                1 (b)
2022-11-23T02:04:39.7803472Z              24 CALL_METHOD              1
2022-11-23T02:04:39.7803598Z              26 LOAD_CONST               2 (10)
2022-11-23T02:04:39.7803708Z              28 BINARY_ADD
2022-11-23T02:04:39.7803840Z              30 STORE_FAST               4 (r3)
2022-11-23T02:04:39.7803859Z 
2022-11-23T02:04:39.7803986Z 741          32 LOAD_FAST                2 (r1)
2022-11-23T02:04:39.7804111Z              34 LOAD_FAST                3 (r2)
2022-11-23T02:04:39.7804223Z              36 LOAD_FAST                4 (r3)
2022-11-23T02:04:39.7804352Z              38 BUILD_TUPLE              3
2022-11-23T02:04:39.7804468Z              40 RETURN_VALUE
2022-11-23T02:04:39.7804561Z  
2022-11-23T02:04:39.7804580Z 
2022-11-23T02:04:39.7805008Z [2022-11-23 02:00:00,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:738
2022-11-23T02:04:39.7805362Z [2022-11-23 02:00:00,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.7805686Z [2022-11-23 02:00:00,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:39.7806057Z [2022-11-23 02:00:00,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7806361Z [2022-11-23 02:00:00,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r1 [TensorVariable()]
2022-11-23T02:04:39.7806781Z [2022-11-23 02:00:00,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:739
2022-11-23T02:04:39.7807071Z [2022-11-23 02:00:00,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r1 []
2022-11-23T02:04:39.7807396Z [2022-11-23 02:00:00,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T02:04:39.7807763Z [2022-11-23 02:00:00,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.7808187Z [2022-11-23 02:00:00,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T02:04:39.7808560Z [2022-11-23 02:00:00,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r2 [TensorVariable()]
2022-11-23T02:04:39.7808984Z [2022-11-23 02:00:00,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:740
2022-11-23T02:04:39.7809280Z [2022-11-23 02:00:00,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.7809773Z [2022-11-23 02:00:00,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7810188Z [2022-11-23 02:00:00,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method squeeze of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.7810678Z [2022-11-23 02:00:00,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method squeeze of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.7811006Z [2022-11-23 02:00:00,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable()]
2022-11-23T02:04:39.7811390Z [2022-11-23 02:00:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7811709Z [2022-11-23 02:00:00,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r3 [TensorVariable()]
2022-11-23T02:04:39.7812191Z [2022-11-23 02:00:00,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:741
2022-11-23T02:04:39.7812480Z [2022-11-23 02:00:00,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r1 []
2022-11-23T02:04:39.7812810Z [2022-11-23 02:00:00,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r2 [TensorVariable()]
2022-11-23T02:04:39.7813166Z [2022-11-23 02:00:00,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r3 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7813568Z [2022-11-23 02:00:00,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7813882Z [2022-11-23 02:00:00,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7814378Z [2022-11-23 02:00:00,960] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641159630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 737>
2022-11-23T02:04:39.7814708Z [2022-11-23 02:00:00,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7815023Z [2022-11-23 02:00:00,960] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.7815432Z [2022-11-23 02:00:00,962] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.7815780Z [2022-11-23 02:00:00,969] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.7816525Z [2022-11-23 02:00:00,969] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7816862Z  __compiled_fn_319 <eval_with_key>.2388 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7817080Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.7817275Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.7817712Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.7818030Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T02:04:39.7818447Z call_function, squeeze, <built-in method squeeze of type object at 0x7fa5855aec60>, (ex_1_,), {}
2022-11-23T02:04:39.7818699Z call_function, add_1, <built-in function add>, (squeeze, 10), {}
2022-11-23T02:04:39.7818862Z output, output, output, ((add, sum_1, add_1),), {}
2022-11-23T02:04:39.7818882Z 
2022-11-23T02:04:39.7819448Z [2022-11-23 02:00:00,970] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7819594Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7819707Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7819836Z               4 BUILD_MAP                0
2022-11-23T02:04:39.7819970Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.7820094Z               8 DICT_MERGE               1
2022-11-23T02:04:39.7820225Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.7820336Z              12 RETURN_VALUE
2022-11-23T02:04:39.7820355Z 
2022-11-23T02:04:39.7820447Z  
2022-11-23T02:04:39.7820875Z [2022-11-23 02:00:00,970] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7821015Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_319)
2022-11-23T02:04:39.7821145Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7821276Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7821392Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.7821521Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7821652Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.7821764Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.7821873Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.7822020Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.7822166Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7822293Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7822407Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.7822550Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7822682Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.7822776Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.7822920Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7823051Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:39.7823165Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.7823289Z              36 BUILD_TUPLE              3
2022-11-23T02:04:39.7823400Z              38 RETURN_VALUE
2022-11-23T02:04:39.7823419Z 
2022-11-23T02:04:39.7823510Z  
2022-11-23T02:04:39.7823764Z [2022-11-23 02:00:00,972] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7823852Z  - 
2022-11-23T02:04:39.7824020Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.7824119Z             {
2022-11-23T02:04:39.7824315Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.7824571Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.7824830Z                 'obj_weakref': None
2022-11-23T02:04:39.7825137Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.7825217Z             }
2022-11-23T02:04:39.7825314Z             
2022-11-23T02:04:39.7825419Z  - 
2022-11-23T02:04:39.7825597Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7825692Z             {
2022-11-23T02:04:39.7825896Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7826030Z                 'code': None,
2022-11-23T02:04:39.7826322Z                 'obj_weakref': <weakref at 0x7fa531eb3420; to 'Tensor' at 0x7fa51c4c6fc0>
2022-11-23T02:04:39.7826662Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7826756Z             }
2022-11-23T02:04:39.7826852Z             
2022-11-23T02:04:39.7826958Z  - 
2022-11-23T02:04:39.7827130Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.7827211Z             {
2022-11-23T02:04:39.7827413Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7827565Z                 'code': None,
2022-11-23T02:04:39.7827849Z                 'obj_weakref': <weakref at 0x7fa532271bc0; to 'Tensor' at 0x7fa532047e20>
2022-11-23T02:04:39.7828235Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7828336Z             }
2022-11-23T02:04:39.7828431Z             
2022-11-23T02:04:39.7828537Z  - 
2022-11-23T02:04:39.7828700Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7828794Z             {
2022-11-23T02:04:39.7828982Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7829213Z                 'code': ['___check_obj_id(model, 140347992597568)'],
2022-11-23T02:04:39.7829378Z                 'obj_weakref': None
2022-11-23T02:04:39.7829688Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7829788Z             }
2022-11-23T02:04:39.7829865Z             
2022-11-23T02:04:39.7829970Z  - 
2022-11-23T02:04:39.7830137Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7830232Z             {
2022-11-23T02:04:39.7830419Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7830714Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7830878Z                 'obj_weakref': None
2022-11-23T02:04:39.7831201Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7831295Z             }
2022-11-23T02:04:39.7831390Z             
2022-11-23T02:04:39.7831491Z  - 
2022-11-23T02:04:39.7831679Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.7831774Z             {
2022-11-23T02:04:39.7831923Z                 'guard_types': None,
2022-11-23T02:04:39.7832075Z                 'code': None,
2022-11-23T02:04:39.7832237Z                 'obj_weakref': None
2022-11-23T02:04:39.7832408Z                 'guarded_class': None
2022-11-23T02:04:39.7832508Z             }
2022-11-23T02:04:39.7832603Z             
2022-11-23T02:04:39.7832954Z [2022-11-23 02:00:00,984] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 311
2022-11-23T02:04:39.7833443Z [2022-11-23 02:00:03,602] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/23/c23ymkktggsfa75wu2pkps5frp5mliu2bse32opsgjbzj22dsh6t.py
2022-11-23T02:04:39.7833781Z [2022-11-23 02:00:03,602] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 311
2022-11-23T02:04:39.7833802Z 
2022-11-23T02:04:39.7833939Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7834043Z import torch
2022-11-23T02:04:39.7834148Z import random
2022-11-23T02:04:39.7834307Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7834475Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7834494Z 
2022-11-23T02:04:39.7834610Z aten = torch.ops.aten
2022-11-23T02:04:39.7834867Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7834982Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7835001Z 
2022-11-23T02:04:39.7835022Z 
2022-11-23T02:04:39.7835216Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.7835499Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.7835669Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.7835819Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.7835965Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.7836105Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.7836250Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.7836324Z {
2022-11-23T02:04:39.7836468Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7836562Z     {
2022-11-23T02:04:39.7836678Z         #pragma omp for 
2022-11-23T02:04:39.7836805Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:39.7836899Z         {
2022-11-23T02:04:39.7836976Z             {
2022-11-23T02:04:39.7837375Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.7837508Z                 float tmp3 = 0;
2022-11-23T02:04:39.7837680Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T02:04:39.7837810Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.7837909Z                 {
2022-11-23T02:04:39.7838110Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2022-11-23T02:04:39.7838303Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T02:04:39.7838419Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7838570Z                     tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T02:04:39.7838692Z                     tmp3_vec += tmp2;
2022-11-23T02:04:39.7838799Z                 }
2022-11-23T02:04:39.7839069Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T02:04:39.7839244Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T02:04:39.7839378Z                 for(long i1=8; i1<10; i1+=1)
2022-11-23T02:04:39.7839478Z                 {
2022-11-23T02:04:39.7839601Z                     auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T02:04:39.7839737Z                     auto tmp1 = in_ptr1[i1];
2022-11-23T02:04:39.7839872Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7840007Z                     out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:39.7840122Z                     tmp3 += tmp2;
2022-11-23T02:04:39.7840220Z                 }
2022-11-23T02:04:39.7840344Z                 out_ptr1[i0] = tmp3;
2022-11-23T02:04:39.7840421Z             }
2022-11-23T02:04:39.7840517Z         }
2022-11-23T02:04:39.7840634Z         #pragma omp for 
2022-11-23T02:04:39.7840753Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:39.7840850Z         {
2022-11-23T02:04:39.7841044Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.7841243Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T02:04:39.7841348Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7841483Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T02:04:39.7841581Z         }
2022-11-23T02:04:39.7841717Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.7841840Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:39.7841936Z         {
2022-11-23T02:04:39.7842059Z             auto tmp0 = in_ptr1[i0];
2022-11-23T02:04:39.7842186Z             auto tmp1 = static_cast<float>(10);
2022-11-23T02:04:39.7842311Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7842432Z             out_ptr2[i0] = tmp2;
2022-11-23T02:04:39.7842599Z         }
2022-11-23T02:04:39.7842694Z     }
2022-11-23T02:04:39.7842784Z }
2022-11-23T02:04:39.7842900Z ''')
2022-11-23T02:04:39.7842941Z 
2022-11-23T02:04:39.7842959Z 
2022-11-23T02:04:39.7843076Z async_compile.wait(globals())
2022-11-23T02:04:39.7843188Z del async_compile
2022-11-23T02:04:39.7843210Z 
2022-11-23T02:04:39.7843318Z def call(args):
2022-11-23T02:04:39.7843433Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.7843544Z     args.clear()
2022-11-23T02:04:39.7843826Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7844088Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7844329Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7844624Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.7844729Z     del arg0_1
2022-11-23T02:04:39.7844841Z     del arg1_1
2022-11-23T02:04:39.7844965Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:39.7844984Z 
2022-11-23T02:04:39.7845002Z 
2022-11-23T02:04:39.7845118Z if __name__ == "__main__":
2022-11-23T02:04:39.7845279Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7845511Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7845775Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7846042Z     arg1_1 = rand_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7846205Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.7846225Z 
2022-11-23T02:04:39.7846326Z ok (2.661s)
2022-11-23T02:04:39.7846734Z   test_sum4_cpu (__main__.CpuTests) ... [2022-11-23 02:00:03,609] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.7847157Z [2022-11-23 02:00:03,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.7847462Z [2022-11-23 02:00:03,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.7847804Z [2022-11-23 02:00:03,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.7848178Z [2022-11-23 02:00:03,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7848591Z [2022-11-23 02:00:03,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7849051Z [2022-11-23 02:00:03,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7849485Z [2022-11-23 02:00:03,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7849988Z [2022-11-23 02:00:03,610] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641159790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 749> 
2022-11-23T02:04:39.7850126Z  750           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7850260Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:39.7850368Z               4 BINARY_ADD
2022-11-23T02:04:39.7850499Z               6 STORE_FAST               1 (b)
2022-11-23T02:04:39.7850519Z 
2022-11-23T02:04:39.7850647Z 751           8 LOAD_FAST                1 (b)
2022-11-23T02:04:39.7850763Z              10 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.7850959Z              12 LOAD_CONST               2 (-1)
2022-11-23T02:04:39.7851090Z              14 CALL_METHOD              1
2022-11-23T02:04:39.7851221Z              16 STORE_FAST               2 (c)
2022-11-23T02:04:39.7851239Z 
2022-11-23T02:04:39.7851363Z 752          18 LOAD_FAST                2 (c)
2022-11-23T02:04:39.7851583Z              20 LOAD_CONST               3 (3)
2022-11-23T02:04:39.7851691Z              22 BINARY_ADD
2022-11-23T02:04:39.7851817Z              24 STORE_FAST               3 (d)
2022-11-23T02:04:39.7851838Z 
2022-11-23T02:04:39.7851950Z 753          26 LOAD_FAST                3 (d)
2022-11-23T02:04:39.7852083Z              28 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.7852278Z              30 LOAD_CONST               2 (-1)
2022-11-23T02:04:39.7852406Z              32 CALL_METHOD              1
2022-11-23T02:04:39.7852535Z              34 STORE_FAST               4 (e)
2022-11-23T02:04:39.7852554Z 
2022-11-23T02:04:39.7852683Z 754          36 LOAD_FAST                4 (e)
2022-11-23T02:04:39.7852812Z              38 LOAD_CONST               4 (5)
2022-11-23T02:04:39.7852902Z              40 BINARY_ADD
2022-11-23T02:04:39.7853032Z              42 STORE_FAST               5 (f)
2022-11-23T02:04:39.7853051Z 
2022-11-23T02:04:39.7853179Z 755          44 LOAD_FAST                5 (f)
2022-11-23T02:04:39.7853309Z              46 LOAD_FAST                4 (e)
2022-11-23T02:04:39.7853434Z              48 LOAD_FAST                3 (d)
2022-11-23T02:04:39.7853560Z              50 LOAD_FAST                2 (c)
2022-11-23T02:04:39.7853734Z              52 LOAD_FAST                1 (b)
2022-11-23T02:04:39.7853871Z              54 BUILD_TUPLE              5
2022-11-23T02:04:39.7853964Z              56 RETURN_VALUE
2022-11-23T02:04:39.7854058Z  
2022-11-23T02:04:39.7854077Z 
2022-11-23T02:04:39.7854505Z [2022-11-23 02:00:03,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:750
2022-11-23T02:04:39.7854793Z [2022-11-23 02:00:03,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.7855119Z [2022-11-23 02:00:03,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:39.7855499Z [2022-11-23 02:00:03,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7855822Z [2022-11-23 02:00:03,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T02:04:39.7856945Z [2022-11-23 02:00:03,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:751
2022-11-23T02:04:39.7857482Z [2022-11-23 02:00:03,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b []
2022-11-23T02:04:39.7858043Z [2022-11-23 02:00:03,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T02:04:39.7858527Z [2022-11-23 02:00:03,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.7858953Z [2022-11-23 02:00:03,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T02:04:39.7859273Z [2022-11-23 02:00:03,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T02:04:39.7859697Z [2022-11-23 02:00:03,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:752
2022-11-23T02:04:39.7859985Z [2022-11-23 02:00:03,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c []
2022-11-23T02:04:39.7860306Z [2022-11-23 02:00:03,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T02:04:39.7860681Z [2022-11-23 02:00:03,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7860996Z [2022-11-23 02:00:03,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T02:04:39.7861393Z [2022-11-23 02:00:03,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:753
2022-11-23T02:04:39.7861674Z [2022-11-23 02:00:03,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d []
2022-11-23T02:04:39.7862156Z [2022-11-23 02:00:03,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T02:04:39.7862532Z [2022-11-23 02:00:03,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.7862953Z [2022-11-23 02:00:03,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T02:04:39.7863271Z [2022-11-23 02:00:03,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T02:04:39.7863680Z [2022-11-23 02:00:03,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:754
2022-11-23T02:04:39.7863962Z [2022-11-23 02:00:03,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e []
2022-11-23T02:04:39.7864280Z [2022-11-23 02:00:03,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()]
2022-11-23T02:04:39.7864664Z [2022-11-23 02:00:03,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7865036Z [2022-11-23 02:00:03,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T02:04:39.7865464Z [2022-11-23 02:00:03,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:755
2022-11-23T02:04:39.7865746Z [2022-11-23 02:00:03,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f []
2022-11-23T02:04:39.7866065Z [2022-11-23 02:00:03,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TensorVariable()]
2022-11-23T02:04:39.7866419Z [2022-11-23 02:00:03,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7866809Z [2022-11-23 02:00:03,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7867237Z [2022-11-23 02:00:03,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7867707Z [2022-11-23 02:00:03,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7868040Z [2022-11-23 02:00:03,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7868549Z [2022-11-23 02:00:03,622] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641159790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 749>
2022-11-23T02:04:39.7868865Z [2022-11-23 02:00:03,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7869198Z [2022-11-23 02:00:03,622] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.7869540Z [2022-11-23 02:00:03,624] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.7869883Z [2022-11-23 02:00:03,632] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.7870144Z [2022-11-23 02:00:03,633] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7870331Z  __compiled_fn_320 <eval_with_key>.2394 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7870464Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.7870701Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.7870869Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T02:04:39.7871110Z call_function, add_1, <built-in function add>, (sum_1, 3), {}
2022-11-23T02:04:39.7871294Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T02:04:39.7871528Z call_function, add_2, <built-in function add>, (sum_2, 5), {}
2022-11-23T02:04:39.7871771Z output, output, output, ((add_2, sum_2, add_1, sum_1, add),), {}
2022-11-23T02:04:39.7871795Z 
2022-11-23T02:04:39.7872233Z [2022-11-23 02:00:03,633] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7872369Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7872501Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7872626Z               4 BUILD_MAP                0
2022-11-23T02:04:39.7872740Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.7872863Z               8 DICT_MERGE               1
2022-11-23T02:04:39.7872992Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.7873105Z              12 RETURN_VALUE
2022-11-23T02:04:39.7873125Z 
2022-11-23T02:04:39.7873217Z  
2022-11-23T02:04:39.7873641Z [2022-11-23 02:00:03,634] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7873800Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_320)
2022-11-23T02:04:39.7873912Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7874096Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7874220Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.7874348Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.7874496Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.7874640Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7874771Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7874865Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.7875012Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7875142Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.7875257Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.7875405Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7875535Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.7875647Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.7875789Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7875900Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:39.7876011Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.7876157Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7876290Z              38 LOAD_CONST               5 (4)
2022-11-23T02:04:39.7876404Z              40 BINARY_SUBSCR
2022-11-23T02:04:39.7876534Z              42 BUILD_TUPLE              5
2022-11-23T02:04:39.7876646Z              44 RETURN_VALUE
2022-11-23T02:04:39.7876666Z 
2022-11-23T02:04:39.7876740Z  
2022-11-23T02:04:39.7877006Z [2022-11-23 02:00:03,635] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7877114Z  - 
2022-11-23T02:04:39.7877284Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.7877387Z             {
2022-11-23T02:04:39.7877588Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.7877845Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.7878000Z                 'obj_weakref': None
2022-11-23T02:04:39.7878308Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.7878406Z             }
2022-11-23T02:04:39.7878506Z             
2022-11-23T02:04:39.7878617Z  - 
2022-11-23T02:04:39.7878791Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7878884Z             {
2022-11-23T02:04:39.7879065Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7879216Z                 'code': None,
2022-11-23T02:04:39.7879504Z                 'obj_weakref': <weakref at 0x7fa5321c09a0; to 'Tensor' at 0x7fa550482250>
2022-11-23T02:04:39.7879846Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7880015Z             }
2022-11-23T02:04:39.7880110Z             
2022-11-23T02:04:39.7880218Z  - 
2022-11-23T02:04:39.7880382Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7880476Z             {
2022-11-23T02:04:39.7880673Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7880909Z                 'code': ['___check_obj_id(model, 140347992597568)'],
2022-11-23T02:04:39.7881078Z                 'obj_weakref': None
2022-11-23T02:04:39.7881387Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7881483Z             }
2022-11-23T02:04:39.7881560Z             
2022-11-23T02:04:39.7881663Z  - 
2022-11-23T02:04:39.7881834Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7881932Z             {
2022-11-23T02:04:39.7882119Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7882408Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7882584Z                 'obj_weakref': None
2022-11-23T02:04:39.7882863Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7882962Z             }
2022-11-23T02:04:39.7883110Z             
2022-11-23T02:04:39.7883470Z [2022-11-23 02:00:03,648] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 312
2022-11-23T02:04:39.7883968Z [2022-11-23 02:00:06,369] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rr/crrapjxliccfudlrtfh2d5wuxleh7wiofxq6zdckcimegmcvbltr.py
2022-11-23T02:04:39.7884385Z [2022-11-23 02:00:06,369] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 312
2022-11-23T02:04:39.7884406Z 
2022-11-23T02:04:39.7884544Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7884655Z import torch
2022-11-23T02:04:39.7884742Z import random
2022-11-23T02:04:39.7884906Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7885079Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7885099Z 
2022-11-23T02:04:39.7885216Z aten = torch.ops.aten
2022-11-23T02:04:39.7885402Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7885539Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7885560Z 
2022-11-23T02:04:39.7885578Z 
2022-11-23T02:04:39.7885769Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.7886048Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.7886199Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.7886343Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.7886481Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.7886621Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:39.7886824Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:39.7886966Z                        float* __restrict__ out_ptr4)
2022-11-23T02:04:39.7887059Z {
2022-11-23T02:04:39.7887182Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7887278Z     {
2022-11-23T02:04:39.7887393Z         #pragma omp for 
2022-11-23T02:04:39.7887518Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T02:04:39.7887616Z         {
2022-11-23T02:04:39.7887831Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.7888025Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.7888131Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7888266Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.7888362Z         }
2022-11-23T02:04:39.7888500Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.7888626Z         for(long i0=1024; i0<1024; i0+=1)
2022-11-23T02:04:39.7888722Z         {
2022-11-23T02:04:39.7888846Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.7888969Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.7889168Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7889288Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.7889384Z         }
2022-11-23T02:04:39.7889498Z         #pragma omp for 
2022-11-23T02:04:39.7889622Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T02:04:39.7889718Z         {
2022-11-23T02:04:39.7889797Z             {
2022-11-23T02:04:39.7890059Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.7890178Z                 float tmp1 = 0;
2022-11-23T02:04:39.7890349Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T02:04:39.7890477Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.7890577Z                 {
2022-11-23T02:04:39.7890773Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7890894Z                     tmp1_vec += tmp0;
2022-11-23T02:04:39.7890978Z                 }
2022-11-23T02:04:39.7891248Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T02:04:39.7891473Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T02:04:39.7891612Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.7891709Z                 {
2022-11-23T02:04:39.7891855Z                     auto tmp0 = out_ptr0[i1 + (8*i0)];
2022-11-23T02:04:39.7891972Z                     tmp1 += tmp0;
2022-11-23T02:04:39.7892052Z                 }
2022-11-23T02:04:39.7892172Z                 out_ptr1[i0] = tmp1;
2022-11-23T02:04:39.7892268Z             }
2022-11-23T02:04:39.7892364Z         }
2022-11-23T02:04:39.7892478Z         #pragma omp for 
2022-11-23T02:04:39.7892597Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.7892692Z         {
2022-11-23T02:04:39.7892861Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T02:04:39.7893055Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T02:04:39.7893180Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7893319Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T02:04:39.7893413Z         }
2022-11-23T02:04:39.7893558Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.7893681Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T02:04:39.7893757Z         {
2022-11-23T02:04:39.7893886Z             auto tmp0 = out_ptr1[i0];
2022-11-23T02:04:39.7894030Z             auto tmp1 = static_cast<float>(3);
2022-11-23T02:04:39.7894155Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7894271Z             out_ptr2[i0] = tmp2;
2022-11-23T02:04:39.7894364Z         }
2022-11-23T02:04:39.7894474Z         #pragma omp for 
2022-11-23T02:04:39.7894574Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:39.7894668Z         {
2022-11-23T02:04:39.7894763Z             {
2022-11-23T02:04:39.7895026Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.7895151Z                 float tmp1 = 0;
2022-11-23T02:04:39.7895318Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T02:04:39.7895450Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.7895529Z                 {
2022-11-23T02:04:39.7895730Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7895851Z                     tmp1_vec += tmp0;
2022-11-23T02:04:39.7895948Z                 }
2022-11-23T02:04:39.7896783Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T02:04:39.7897083Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T02:04:39.7897294Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.7897446Z                 {
2022-11-23T02:04:39.7897866Z                     auto tmp0 = out_ptr2[i1 + (8*i0)];
2022-11-23T02:04:39.7898050Z                     tmp1 += tmp0;
2022-11-23T02:04:39.7898174Z                 }
2022-11-23T02:04:39.7898295Z                 out_ptr3[i0] = tmp1;
2022-11-23T02:04:39.7898392Z             }
2022-11-23T02:04:39.7898494Z         }
2022-11-23T02:04:39.7898610Z         #pragma omp for 
2022-11-23T02:04:39.7898710Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.7898805Z         {
2022-11-23T02:04:39.7899002Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr3 + 8*i0);
2022-11-23T02:04:39.7899188Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(5));
2022-11-23T02:04:39.7899308Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7906785Z             tmp2.store(out_ptr4 + 8*i0);
2022-11-23T02:04:39.7906931Z         }
2022-11-23T02:04:39.7907093Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.7907222Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T02:04:39.7907333Z         {
2022-11-23T02:04:39.7907440Z             auto tmp0 = out_ptr3[i0];
2022-11-23T02:04:39.7907587Z             auto tmp1 = static_cast<float>(5);
2022-11-23T02:04:39.7907723Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7907849Z             out_ptr4[i0] = tmp2;
2022-11-23T02:04:39.7908115Z         }
2022-11-23T02:04:39.7908226Z     }
2022-11-23T02:04:39.7908300Z }
2022-11-23T02:04:39.7908531Z ''')
2022-11-23T02:04:39.7908555Z 
2022-11-23T02:04:39.7908573Z 
2022-11-23T02:04:39.7908714Z async_compile.wait(globals())
2022-11-23T02:04:39.7908827Z del async_compile
2022-11-23T02:04:39.7908846Z 
2022-11-23T02:04:39.7908959Z def call(args):
2022-11-23T02:04:39.7909068Z     arg0_1, = args
2022-11-23T02:04:39.7909180Z     args.clear()
2022-11-23T02:04:39.7909508Z     buf0 = empty_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7909771Z     buf1 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7910118Z     buf2 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7910453Z     buf3 = empty_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7910725Z     buf4 = empty_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7911056Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T02:04:39.7911163Z     del arg0_1
2022-11-23T02:04:39.7911307Z     return (buf4, buf3, buf2, buf1, buf0, )
2022-11-23T02:04:39.7911327Z 
2022-11-23T02:04:39.7911346Z 
2022-11-23T02:04:39.7911463Z if __name__ == "__main__":
2022-11-23T02:04:39.7911606Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7911791Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7912095Z     arg0_1 = rand_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7912258Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.7912277Z 
2022-11-23T02:04:39.7912385Z ok (2.768s)
2022-11-23T02:04:39.7912805Z   test_sum5_cpu (__main__.CpuTests) ... [2022-11-23 02:00:06,377] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.7913236Z [2022-11-23 02:00:06,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.7913542Z [2022-11-23 02:00:06,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.7913889Z [2022-11-23 02:00:06,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.7914245Z [2022-11-23 02:00:06,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7914687Z [2022-11-23 02:00:06,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7915234Z [2022-11-23 02:00:06,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7915674Z [2022-11-23 02:00:06,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7916181Z [2022-11-23 02:00:06,378] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa6411598f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 760> 
2022-11-23T02:04:39.7916319Z  761           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.7916455Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:39.7916575Z               4 BINARY_ADD
2022-11-23T02:04:39.7916713Z               6 STORE_FAST               1 (b)
2022-11-23T02:04:39.7916732Z 
2022-11-23T02:04:39.7916870Z 762           8 LOAD_FAST                1 (b)
2022-11-23T02:04:39.7916986Z              10 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.7917185Z              12 LOAD_CONST               2 (-1)
2022-11-23T02:04:39.7917315Z              14 CALL_METHOD              1
2022-11-23T02:04:39.7917509Z              16 STORE_FAST               2 (c)
2022-11-23T02:04:39.7917531Z 
2022-11-23T02:04:39.7917670Z 763          18 LOAD_FAST                2 (c)
2022-11-23T02:04:39.7917802Z              20 LOAD_CONST               3 (3)
2022-11-23T02:04:39.7917915Z              22 BINARY_ADD
2022-11-23T02:04:39.7918023Z              24 STORE_FAST               3 (d)
2022-11-23T02:04:39.7918041Z 
2022-11-23T02:04:39.7918169Z 764          26 LOAD_FAST                3 (d)
2022-11-23T02:04:39.7918308Z              28 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.7918511Z              30 LOAD_CONST               2 (-1)
2022-11-23T02:04:39.7918644Z              32 CALL_METHOD              1
2022-11-23T02:04:39.7918781Z              34 STORE_FAST               4 (e)
2022-11-23T02:04:39.7918800Z 
2022-11-23T02:04:39.7918932Z 765          36 LOAD_FAST                4 (e)
2022-11-23T02:04:39.7919067Z              38 LOAD_CONST               4 (5)
2022-11-23T02:04:39.7919159Z              40 BINARY_ADD
2022-11-23T02:04:39.7919295Z              42 STORE_FAST               5 (f)
2022-11-23T02:04:39.7919316Z 
2022-11-23T02:04:39.7919448Z 766          44 LOAD_FAST                5 (f)
2022-11-23T02:04:39.7919580Z              46 BUILD_TUPLE              1
2022-11-23T02:04:39.7919700Z              48 RETURN_VALUE
2022-11-23T02:04:39.7919802Z  
2022-11-23T02:04:39.7919820Z 
2022-11-23T02:04:39.7920255Z [2022-11-23 02:00:06,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:761
2022-11-23T02:04:39.7920547Z [2022-11-23 02:00:06,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.7920854Z [2022-11-23 02:00:06,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:39.7921241Z [2022-11-23 02:00:06,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7921571Z [2022-11-23 02:00:06,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T02:04:39.7921993Z [2022-11-23 02:00:06,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:762
2022-11-23T02:04:39.7922282Z [2022-11-23 02:00:06,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b []
2022-11-23T02:04:39.7922607Z [2022-11-23 02:00:06,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T02:04:39.7922985Z [2022-11-23 02:00:06,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.7923417Z [2022-11-23 02:00:06,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T02:04:39.7923841Z [2022-11-23 02:00:06,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T02:04:39.7924242Z [2022-11-23 02:00:06,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:763
2022-11-23T02:04:39.7924537Z [2022-11-23 02:00:06,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c []
2022-11-23T02:04:39.7924863Z [2022-11-23 02:00:06,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T02:04:39.7925240Z [2022-11-23 02:00:06,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7925559Z [2022-11-23 02:00:06,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T02:04:39.7925979Z [2022-11-23 02:00:06,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:764
2022-11-23T02:04:39.7926274Z [2022-11-23 02:00:06,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d []
2022-11-23T02:04:39.7926662Z [2022-11-23 02:00:06,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T02:04:39.7927044Z [2022-11-23 02:00:06,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.7927474Z [2022-11-23 02:00:06,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T02:04:39.7927771Z [2022-11-23 02:00:06,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T02:04:39.7928186Z [2022-11-23 02:00:06,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:765
2022-11-23T02:04:39.7928484Z [2022-11-23 02:00:06,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e []
2022-11-23T02:04:39.7928809Z [2022-11-23 02:00:06,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()]
2022-11-23T02:04:39.7929193Z [2022-11-23 02:00:06,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.7929513Z [2022-11-23 02:00:06,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T02:04:39.7929935Z [2022-11-23 02:00:06,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:766
2022-11-23T02:04:39.7930227Z [2022-11-23 02:00:06,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f []
2022-11-23T02:04:39.7930557Z [2022-11-23 02:00:06,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:39.7930869Z [2022-11-23 02:00:06,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7931389Z [2022-11-23 02:00:06,390] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa6411598f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 760>
2022-11-23T02:04:39.7931725Z [2022-11-23 02:00:06,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.7932046Z [2022-11-23 02:00:06,390] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.7932391Z [2022-11-23 02:00:06,392] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.7932737Z [2022-11-23 02:00:06,399] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.7933002Z [2022-11-23 02:00:06,400] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7933195Z  __compiled_fn_321 <eval_with_key>.2400 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7933424Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.7933649Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.7933837Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T02:04:39.7934088Z call_function, add_1, <built-in function add>, (sum_1, 3), {}
2022-11-23T02:04:39.7934281Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T02:04:39.7934522Z call_function, add_2, <built-in function add>, (sum_2, 5), {}
2022-11-23T02:04:39.7934669Z output, output, output, ((add_2,),), {}
2022-11-23T02:04:39.7934689Z 
2022-11-23T02:04:39.7935133Z [2022-11-23 02:00:06,400] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7935275Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7935390Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7935522Z               4 BUILD_MAP                0
2022-11-23T02:04:39.7935666Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.7935796Z               8 DICT_MERGE               1
2022-11-23T02:04:39.7935935Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.7937066Z              12 RETURN_VALUE
2022-11-23T02:04:39.7937376Z 
2022-11-23T02:04:39.7937567Z  
2022-11-23T02:04:39.7938345Z [2022-11-23 02:00:06,401] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7938526Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_321)
2022-11-23T02:04:39.7938664Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7938797Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7938917Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.7939049Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.7939199Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.7939357Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.7939470Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7939588Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.7939719Z              18 BUILD_TUPLE              1
2022-11-23T02:04:39.7939839Z              20 RETURN_VALUE
2022-11-23T02:04:39.7939859Z 
2022-11-23T02:04:39.7939956Z  
2022-11-23T02:04:39.7940223Z [2022-11-23 02:00:06,402] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7940338Z  - 
2022-11-23T02:04:39.7940489Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.7940590Z             {
2022-11-23T02:04:39.7940793Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.7941054Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.7941232Z                 'obj_weakref': None
2022-11-23T02:04:39.7941544Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.7941649Z             }
2022-11-23T02:04:39.7941725Z             
2022-11-23T02:04:39.7941835Z  - 
2022-11-23T02:04:39.7942012Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7942128Z             {
2022-11-23T02:04:39.7942331Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7942470Z                 'code': None,
2022-11-23T02:04:39.7942769Z                 'obj_weakref': <weakref at 0x7fa51c53d9e0; to 'Tensor' at 0x7fa5320f4180>
2022-11-23T02:04:39.7943115Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7943213Z             }
2022-11-23T02:04:39.7943313Z             
2022-11-23T02:04:39.7943426Z  - 
2022-11-23T02:04:39.7943621Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7943700Z             {
2022-11-23T02:04:39.7943894Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7944136Z                 'code': ['___check_obj_id(model, 140347992597568)'],
2022-11-23T02:04:39.7944439Z                 'obj_weakref': None
2022-11-23T02:04:39.7944760Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7944861Z             }
2022-11-23T02:04:39.7944961Z             
2022-11-23T02:04:39.7945052Z  - 
2022-11-23T02:04:39.7945225Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7945321Z             {
2022-11-23T02:04:39.7945514Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7945811Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7945984Z                 'obj_weakref': None
2022-11-23T02:04:39.7946289Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7946367Z             }
2022-11-23T02:04:39.7946474Z             
2022-11-23T02:04:39.7946831Z [2022-11-23 02:00:06,415] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 313
2022-11-23T02:04:39.7947330Z [2022-11-23 02:00:09,079] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ci/ccikmsyxe6wo6eyk3h3xciz25pgzyqxnkvtqkmq5fdj6aa6q7bff.py
2022-11-23T02:04:39.7947744Z [2022-11-23 02:00:09,080] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 313
2022-11-23T02:04:39.7947767Z 
2022-11-23T02:04:39.7947919Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7948031Z import torch
2022-11-23T02:04:39.7948144Z import random
2022-11-23T02:04:39.7948292Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7948468Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7948488Z 
2022-11-23T02:04:39.7948609Z aten = torch.ops.aten
2022-11-23T02:04:39.7948802Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7948940Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7948959Z 
2022-11-23T02:04:39.7948978Z 
2022-11-23T02:04:39.7949181Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.7949470Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.7949642Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.7949778Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.7949925Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.7950024Z {
2022-11-23T02:04:39.7950152Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T02:04:39.7950299Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7950397Z     {
2022-11-23T02:04:39.7950518Z         #pragma omp for 
2022-11-23T02:04:39.7950621Z         for(long i0=0; i0<136; i0+=1)
2022-11-23T02:04:39.7950721Z         {
2022-11-23T02:04:39.7950822Z             {
2022-11-23T02:04:39.7951123Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.7951245Z                 float tmp3 = 0;
2022-11-23T02:04:39.7951429Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T02:04:39.7951561Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.7951640Z                 {
2022-11-23T02:04:39.7951850Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (9*i0));
2022-11-23T02:04:39.7952050Z                     auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.7952190Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7952319Z                     tmp3_vec += tmp2;
2022-11-23T02:04:39.7952421Z                 }
2022-11-23T02:04:39.7952700Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T02:04:39.7952877Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T02:04:39.7952988Z                 for(long i1=8; i1<9; i1+=1)
2022-11-23T02:04:39.7953092Z                 {
2022-11-23T02:04:39.7953300Z                     auto tmp0 = in_ptr0[i1 + (9*i0)];
2022-11-23T02:04:39.7953453Z                     auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.7953590Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7953710Z                     tmp3 += tmp2;
2022-11-23T02:04:39.7953817Z                 }
2022-11-23T02:04:39.7953921Z                 out_ptr0[i0] = tmp3;
2022-11-23T02:04:39.7954023Z             }
2022-11-23T02:04:39.7954121Z         }
2022-11-23T02:04:39.7954240Z         #pragma omp for 
2022-11-23T02:04:39.7954363Z         for(long i0=0; i0<17; i0+=1)
2022-11-23T02:04:39.7954463Z         {
2022-11-23T02:04:39.7954567Z             {
2022-11-23T02:04:39.7954810Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.7954940Z                 float tmp3 = 0;
2022-11-23T02:04:39.7955112Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T02:04:39.7955249Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.7955351Z                 {
2022-11-23T02:04:39.7955555Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:39.7955805Z                     auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T02:04:39.7955951Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7956051Z                     tmp3_vec += tmp2;
2022-11-23T02:04:39.7956205Z                 }
2022-11-23T02:04:39.7956466Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T02:04:39.7956615Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T02:04:39.7956751Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.7956852Z                 {
2022-11-23T02:04:39.7956997Z                     auto tmp0 = out_ptr0[i1 + (8*i0)];
2022-11-23T02:04:39.7957148Z                     auto tmp1 = static_cast<float>(3);
2022-11-23T02:04:39.7957267Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7957383Z                     tmp3 += tmp2;
2022-11-23T02:04:39.7957490Z                 }
2022-11-23T02:04:39.7957624Z                 out_ptr1[i0] = tmp3;
2022-11-23T02:04:39.7957730Z             }
2022-11-23T02:04:39.7957833Z         }
2022-11-23T02:04:39.7957954Z         #pragma omp for 
2022-11-23T02:04:39.7958056Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.7958155Z         {
2022-11-23T02:04:39.7958359Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T02:04:39.7958549Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(5));
2022-11-23T02:04:39.7958677Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7958826Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.7958928Z         }
2022-11-23T02:04:39.7959048Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.7959179Z         for(long i0=16; i0<17; i0+=1)
2022-11-23T02:04:39.7959277Z         {
2022-11-23T02:04:39.7959408Z             auto tmp0 = out_ptr1[i0];
2022-11-23T02:04:39.7959556Z             auto tmp1 = static_cast<float>(5);
2022-11-23T02:04:39.7959685Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.7959817Z             in_out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.7959894Z         }
2022-11-23T02:04:39.7959992Z     }
2022-11-23T02:04:39.7960088Z }
2022-11-23T02:04:39.7960227Z ''')
2022-11-23T02:04:39.7960249Z 
2022-11-23T02:04:39.7960268Z 
2022-11-23T02:04:39.7960407Z async_compile.wait(globals())
2022-11-23T02:04:39.7960523Z del async_compile
2022-11-23T02:04:39.7960541Z 
2022-11-23T02:04:39.7960655Z def call(args):
2022-11-23T02:04:39.7960742Z     arg0_1, = args
2022-11-23T02:04:39.7960858Z     args.clear()
2022-11-23T02:04:39.7961155Z     buf0 = empty_strided((1, 17, 8), (136, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7961430Z     buf1 = empty_strided((1, 17), (17, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7961627Z     buf2 = buf1; del buf1  # reuse
2022-11-23T02:04:39.7961857Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.7961969Z     del arg0_1
2022-11-23T02:04:39.7962063Z     return (buf2, )
2022-11-23T02:04:39.7962082Z 
2022-11-23T02:04:39.7962128Z 
2022-11-23T02:04:39.7962224Z if __name__ == "__main__":
2022-11-23T02:04:39.7962393Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.7962570Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.7962876Z     arg0_1 = rand_strided((1, 17, 8, 9), (1224, 72, 9, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.7963037Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.7963056Z 
2022-11-23T02:04:39.7963162Z ok (2.710s)
2022-11-23T02:04:39.7963583Z   test_sum_dtype_cpu (__main__.CpuTests) ... [2022-11-23 02:00:09,086] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.7964074Z [2022-11-23 02:00:09,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.7964425Z [2022-11-23 02:00:09,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.7964785Z [2022-11-23 02:00:09,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.7965166Z [2022-11-23 02:00:09,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.7965603Z [2022-11-23 02:00:09,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7966073Z [2022-11-23 02:00:09,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7966512Z [2022-11-23 02:00:09,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.7967021Z [2022-11-23 02:00:09,087] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115a810, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 866> 
2022-11-23T02:04:39.7967163Z  867           0 LOAD_FAST                0 (x)
2022-11-23T02:04:39.7967300Z               2 LOAD_FAST                0 (x)
2022-11-23T02:04:39.7967414Z               4 LOAD_ATTR                0 (sum)
2022-11-23T02:04:39.7967617Z               6 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.7967758Z               8 LOAD_GLOBAL              1 (torch)
2022-11-23T02:04:39.7967893Z              10 LOAD_ATTR                2 (double)
2022-11-23T02:04:39.7968100Z              12 LOAD_CONST               2 (('dtype',))
2022-11-23T02:04:39.7968235Z              14 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.7968360Z              16 BINARY_MULTIPLY
2022-11-23T02:04:39.7968499Z              18 LOAD_FAST                0 (x)
2022-11-23T02:04:39.7968612Z              20 LOAD_ATTR                0 (sum)
2022-11-23T02:04:39.7968754Z              22 LOAD_GLOBAL              1 (torch)
2022-11-23T02:04:39.7968894Z              24 LOAD_ATTR                2 (double)
2022-11-23T02:04:39.7969108Z              26 LOAD_CONST               2 (('dtype',))
2022-11-23T02:04:39.7969244Z              28 CALL_FUNCTION_KW         1
2022-11-23T02:04:39.7969360Z              30 BINARY_ADD
2022-11-23T02:04:39.7969479Z              32 RETURN_VALUE
2022-11-23T02:04:39.7969553Z  
2022-11-23T02:04:39.7969573Z 
2022-11-23T02:04:39.7970005Z [2022-11-23 02:00:09,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:867
2022-11-23T02:04:39.7970292Z [2022-11-23 02:00:09,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.7970618Z [2022-11-23 02:00:09,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T02:04:39.7971057Z [2022-11-23 02:00:09,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7971472Z [2022-11-23 02:00:09,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.7971944Z [2022-11-23 02:00:09,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T02:04:39.7972614Z [2022-11-23 02:00:09,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7973141Z [2022-11-23 02:00:09,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T02:04:39.7973774Z [2022-11-23 02:00:09,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T02:04:39.7974168Z [2022-11-23 02:00:09,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7974468Z [2022-11-23 02:00:09,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T02:04:39.7974834Z [2022-11-23 02:00:09,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7975257Z [2022-11-23 02:00:09,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.7975876Z [2022-11-23 02:00:09,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), GetAttrVariable(TensorVariable(), sum), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.7977064Z [2022-11-23 02:00:09,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(dtype)]
2022-11-23T02:04:39.7978018Z [2022-11-23 02:00:09,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T02:04:39.7978416Z [2022-11-23 02:00:09,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.7978753Z [2022-11-23 02:00:09,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.7979254Z [2022-11-23 02:00:09,098] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115a810, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 866>
2022-11-23T02:04:39.7979602Z [2022-11-23 02:00:09,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.7979931Z [2022-11-23 02:00:09,098] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.7980256Z [2022-11-23 02:00:09,100] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.7980597Z [2022-11-23 02:00:09,107] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.7980861Z [2022-11-23 02:00:09,108] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.7981057Z  __compiled_fn_322 <eval_with_key>.2406 opcode, name, target, args, kwargs
2022-11-23T02:04:39.7981193Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.7981442Z call_method, sum_1, sum, (ex_0_, -1), {'dtype': torch.float64}
2022-11-23T02:04:39.7981844Z call_function, mul, <built-in function mul>, (ex_0_, sum_1), {}
2022-11-23T02:04:39.7982087Z call_method, sum_2, sum, (ex_0_,), {'dtype': torch.float64}
2022-11-23T02:04:39.7982316Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T02:04:39.7982464Z output, output, output, ((add,),), {}
2022-11-23T02:04:39.7982488Z 
2022-11-23T02:04:39.7982928Z [2022-11-23 02:00:09,108] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7983071Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.7983208Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7983344Z               4 BUILD_MAP                0
2022-11-23T02:04:39.7983483Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.7983612Z               8 DICT_MERGE               1
2022-11-23T02:04:39.7983723Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.7983849Z              12 RETURN_VALUE
2022-11-23T02:04:39.7983868Z 
2022-11-23T02:04:39.7983961Z  
2022-11-23T02:04:39.7984473Z [2022-11-23 02:00:09,108] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.7984642Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_322)
2022-11-23T02:04:39.7984777Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.7984913Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.7985037Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.7985147Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.7985283Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.7985402Z              12 RETURN_VALUE
2022-11-23T02:04:39.7985422Z 
2022-11-23T02:04:39.7985516Z  
2022-11-23T02:04:39.7985780Z [2022-11-23 02:00:09,110] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.7985900Z  - 
2022-11-23T02:04:39.7986073Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.7986151Z             {
2022-11-23T02:04:39.7986358Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.7986621Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.7986844Z                 'obj_weakref': None
2022-11-23T02:04:39.7987158Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.7987261Z             }
2022-11-23T02:04:39.7987363Z             
2022-11-23T02:04:39.7987448Z  - 
2022-11-23T02:04:39.7987623Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.7987728Z             {
2022-11-23T02:04:39.7987930Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.7988087Z                 'code': None,
2022-11-23T02:04:39.7988379Z                 'obj_weakref': <weakref at 0x7fa5321c39c0; to 'Tensor' at 0x7fa53c3e05e0>
2022-11-23T02:04:39.7988727Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.7988812Z             }
2022-11-23T02:04:39.7988915Z             
2022-11-23T02:04:39.7989074Z  - 
2022-11-23T02:04:39.7989262Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.7989369Z             {
2022-11-23T02:04:39.7989564Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.7989805Z                 'code': ['___check_obj_id(model, 140347992597568)'],
2022-11-23T02:04:39.7989953Z                 'obj_weakref': None
2022-11-23T02:04:39.7990270Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.7990375Z             }
2022-11-23T02:04:39.7990475Z             
2022-11-23T02:04:39.7990587Z  - 
2022-11-23T02:04:39.7990763Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.7990865Z             {
2022-11-23T02:04:39.7991037Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.7991481Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.7991655Z                 'obj_weakref': None
2022-11-23T02:04:39.7991961Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.7992066Z             }
2022-11-23T02:04:39.7992166Z             
2022-11-23T02:04:39.7992276Z  - 
2022-11-23T02:04:39.7992441Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.7992544Z             {
2022-11-23T02:04:39.7992716Z                 'guard_types': None,
2022-11-23T02:04:39.7992877Z                 'code': None,
2022-11-23T02:04:39.7993048Z                 'obj_weakref': None
2022-11-23T02:04:39.7993224Z                 'guarded_class': None
2022-11-23T02:04:39.7993328Z             }
2022-11-23T02:04:39.7993405Z             
2022-11-23T02:04:39.7993514Z  - 
2022-11-23T02:04:39.7993723Z             global 'torch.double' CONSTANT_MATCH
2022-11-23T02:04:39.7993825Z             {
2022-11-23T02:04:39.7994028Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.7994274Z                 'code': ["str(torch.double) == 'torch.float64'"],
2022-11-23T02:04:39.7994422Z                 'obj_weakref': None
2022-11-23T02:04:39.7994790Z                 'guarded_class': <weakref at 0x7fa5bc5e1e40; to 'type' at 0x7fa5855aac80 (dtype)>
2022-11-23T02:04:39.7994900Z             }
2022-11-23T02:04:39.7995003Z             
2022-11-23T02:04:39.7995365Z [2022-11-23 02:00:09,122] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 314
2022-11-23T02:04:39.7995850Z [2022-11-23 02:00:11,762] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d7/cd7t4xyfgig24q5thh5u5p73ikobw52g7kmwzdmlouorgdj3ok2s.py
2022-11-23T02:04:39.7996213Z [2022-11-23 02:00:11,762] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 314
2022-11-23T02:04:39.7996234Z 
2022-11-23T02:04:39.7996383Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.7996468Z import torch
2022-11-23T02:04:39.7996610Z import random
2022-11-23T02:04:39.7996780Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.7996923Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.7996942Z 
2022-11-23T02:04:39.7997078Z aten = torch.ops.aten
2022-11-23T02:04:39.7997274Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.7997414Z async_compile = AsyncCompile()
2022-11-23T02:04:39.7997433Z 
2022-11-23T02:04:39.7997451Z 
2022-11-23T02:04:39.7997645Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.7997903Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.7998077Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.7998230Z                        double* __restrict__ out_ptr0,
2022-11-23T02:04:39.7998375Z                        double* __restrict__ out_ptr1,
2022-11-23T02:04:39.7998519Z                        double* __restrict__ out_ptr2)
2022-11-23T02:04:39.7998625Z {
2022-11-23T02:04:39.7998772Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.7998870Z     {
2022-11-23T02:04:39.7998967Z         #pragma omp for 
2022-11-23T02:04:39.7999094Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.7999199Z         {
2022-11-23T02:04:39.7999300Z             {
2022-11-23T02:04:39.7999405Z                 {
2022-11-23T02:04:39.7999535Z                     double tmp2 = 0;
2022-11-23T02:04:39.7999650Z                     for(long i1=0; i1<32; i1+=1)
2022-11-23T02:04:39.7999754Z                     {
2022-11-23T02:04:39.7999859Z                         {
2022-11-23T02:04:39.8000014Z                             auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T02:04:39.8000185Z                             auto tmp1 = static_cast<double>(tmp0);
2022-11-23T02:04:39.8000311Z                             tmp2 += tmp1;
2022-11-23T02:04:39.8000421Z                         }
2022-11-23T02:04:39.8000570Z                     }
2022-11-23T02:04:39.8000699Z                     out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.8000802Z                 }
2022-11-23T02:04:39.8000908Z             }
2022-11-23T02:04:39.8001007Z         }
2022-11-23T02:04:39.8001105Z     }
2022-11-23T02:04:39.8001205Z     {
2022-11-23T02:04:39.8001283Z         {
2022-11-23T02:04:39.8001409Z             double tmp2 = 0;
2022-11-23T02:04:39.8001568Z             #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.8001671Z             {
2022-11-23T02:04:39.8001824Z                 #pragma omp for reduction(+:tmp2) 
2022-11-23T02:04:39.8001961Z                 for(long i0=0; i0<1024; i0+=1)
2022-11-23T02:04:39.8002065Z                 {
2022-11-23T02:04:39.8002146Z                     {
2022-11-23T02:04:39.8002292Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.8002450Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T02:04:39.8002571Z                         tmp2 += tmp1;
2022-11-23T02:04:39.8002684Z                     }
2022-11-23T02:04:39.8002786Z                 }
2022-11-23T02:04:39.8002866Z             }
2022-11-23T02:04:39.8002992Z             out_ptr1[0] = tmp2;
2022-11-23T02:04:39.8003095Z         }
2022-11-23T02:04:39.8003226Z     }
2022-11-23T02:04:39.8003397Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.8003533Z     {
2022-11-23T02:04:39.8003623Z         #pragma omp for 
2022-11-23T02:04:39.8003725Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.8003828Z         {
2022-11-23T02:04:39.8003959Z             #pragma GCC ivdep
2022-11-23T02:04:39.8004086Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T02:04:39.8004187Z             {
2022-11-23T02:04:39.8004287Z                 {
2022-11-23T02:04:39.8004393Z                     {
2022-11-23T02:04:39.8004522Z                         auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T02:04:39.8004662Z                         auto tmp2 = out_ptr0[i1];
2022-11-23T02:04:39.8004805Z                         auto tmp4 = out_ptr1[0];
2022-11-23T02:04:39.8004974Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T02:04:39.8005111Z                         auto tmp3 = tmp1 * tmp2;
2022-11-23T02:04:39.8005244Z                         auto tmp5 = tmp3 + tmp4;
2022-11-23T02:04:39.8005388Z                         out_ptr2[i1 + (32*i0)] = tmp5;
2022-11-23T02:04:39.8005469Z                     }
2022-11-23T02:04:39.8005566Z                 }
2022-11-23T02:04:39.8005671Z             }
2022-11-23T02:04:39.8005770Z         }
2022-11-23T02:04:39.8005869Z     }
2022-11-23T02:04:39.8005965Z }
2022-11-23T02:04:39.8006086Z ''')
2022-11-23T02:04:39.8006126Z 
2022-11-23T02:04:39.8006144Z 
2022-11-23T02:04:39.8006258Z async_compile.wait(globals())
2022-11-23T02:04:39.8006372Z del async_compile
2022-11-23T02:04:39.8006391Z 
2022-11-23T02:04:39.8006507Z def call(args):
2022-11-23T02:04:39.8006616Z     arg0_1, = args
2022-11-23T02:04:39.8006729Z     args.clear()
2022-11-23T02:04:39.8007007Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T02:04:39.8007318Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float64)
2022-11-23T02:04:39.8007526Z     buf2 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:39.8007811Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.8007901Z     del arg0_1
2022-11-23T02:04:39.8008019Z     return (buf2, )
2022-11-23T02:04:39.8008038Z 
2022-11-23T02:04:39.8008057Z 
2022-11-23T02:04:39.8008177Z if __name__ == "__main__":
2022-11-23T02:04:39.8008343Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8008563Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8008796Z     arg0_1 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8008931Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.8008952Z 
2022-11-23T02:04:39.8009062Z ok (2.682s)
2022-11-23T02:04:39.8009544Z   test_sum_int_cpu (__main__.CpuTests) ... [2022-11-23 02:00:11,768] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8009977Z [2022-11-23 02:00:11,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8010281Z [2022-11-23 02:00:11,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8010627Z [2022-11-23 02:00:11,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8011008Z [2022-11-23 02:00:11,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8011441Z [2022-11-23 02:00:11,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8011905Z [2022-11-23 02:00:11,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8012401Z [2022-11-23 02:00:11,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8012897Z [2022-11-23 02:00:11,770] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115a600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857> 
2022-11-23T02:04:39.8013041Z  858           0 LOAD_CONST               1 (2)
2022-11-23T02:04:39.8013182Z               2 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8013326Z               4 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.8013525Z               6 LOAD_CONST               2 (-1)
2022-11-23T02:04:39.8013658Z               8 CALL_METHOD              1
2022-11-23T02:04:39.8013781Z              10 BINARY_MULTIPLY
2022-11-23T02:04:39.8013915Z              12 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8014038Z              14 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.8014174Z              16 CALL_METHOD              0
2022-11-23T02:04:39.8014287Z              18 BINARY_ADD
2022-11-23T02:04:39.8014407Z              20 RETURN_VALUE
2022-11-23T02:04:39.8014508Z  
2022-11-23T02:04:39.8014527Z 
2022-11-23T02:04:39.8014963Z [2022-11-23 02:00:11,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:858
2022-11-23T02:04:39.8015257Z [2022-11-23 02:00:11,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 []
2022-11-23T02:04:39.8015572Z [2022-11-23 02:00:11,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)]
2022-11-23T02:04:39.8015954Z [2022-11-23 02:00:11,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.8017118Z [2022-11-23 02:00:11,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.8017940Z [2022-11-23 02:00:11,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T02:04:39.8018360Z [2022-11-23 02:00:11,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.8018685Z [2022-11-23 02:00:11,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T02:04:39.8019045Z [2022-11-23 02:00:11,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8019460Z [2022-11-23 02:00:11,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.8019827Z [2022-11-23 02:00:11,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8020341Z [2022-11-23 02:00:11,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.8020853Z [2022-11-23 02:00:11,778] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115a600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857>
2022-11-23T02:04:39.8021165Z [2022-11-23 02:00:11,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.8021486Z [2022-11-23 02:00:11,778] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.8021834Z [2022-11-23 02:00:11,780] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.8022175Z [2022-11-23 02:00:11,787] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.8022437Z [2022-11-23 02:00:11,787] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8022628Z  __compiled_fn_323 <eval_with_key>.2412 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8022766Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.8022969Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T02:04:39.8023266Z call_function, mul, <built-in function mul>, (2, sum_1), {}
2022-11-23T02:04:39.8023413Z call_method, sum_2, sum, (ex_0_,), {}
2022-11-23T02:04:39.8023659Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T02:04:39.8023804Z output, output, output, ((add,),), {}
2022-11-23T02:04:39.8023824Z 
2022-11-23T02:04:39.8024261Z [2022-11-23 02:00:11,788] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8024404Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.8024543Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8024676Z               4 BUILD_MAP                0
2022-11-23T02:04:39.8024800Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.8024930Z               8 DICT_MERGE               1
2022-11-23T02:04:39.8025065Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.8025183Z              12 RETURN_VALUE
2022-11-23T02:04:39.8025206Z 
2022-11-23T02:04:39.8025306Z  
2022-11-23T02:04:39.8025740Z [2022-11-23 02:00:11,788] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8025901Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_323)
2022-11-23T02:04:39.8026036Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8026149Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8026269Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.8026402Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.8026534Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.8026655Z              12 RETURN_VALUE
2022-11-23T02:04:39.8026675Z 
2022-11-23T02:04:39.8026775Z  
2022-11-23T02:04:39.8027033Z [2022-11-23 02:00:11,789] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8027122Z  - 
2022-11-23T02:04:39.8027296Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.8027404Z             {
2022-11-23T02:04:39.8027609Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.8027871Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.8028048Z                 'obj_weakref': None
2022-11-23T02:04:39.8028362Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.8028441Z             }
2022-11-23T02:04:39.8028544Z             
2022-11-23T02:04:39.8028652Z  - 
2022-11-23T02:04:39.8028840Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.8028940Z             {
2022-11-23T02:04:39.8029146Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8029377Z                 'code': None,
2022-11-23T02:04:39.8029645Z                 'obj_weakref': <weakref at 0x7fa53c4278d0; to 'Tensor' at 0x7fa55030fc40>
2022-11-23T02:04:39.8029991Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8030094Z             }
2022-11-23T02:04:39.8030196Z             
2022-11-23T02:04:39.8030306Z  - 
2022-11-23T02:04:39.8030493Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.8030591Z             {
2022-11-23T02:04:39.8030759Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.8030995Z                 'code': ['___check_obj_id(model, 140347992597568)'],
2022-11-23T02:04:39.8031167Z                 'obj_weakref': None
2022-11-23T02:04:39.8031484Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.8031589Z             }
2022-11-23T02:04:39.8031688Z             
2022-11-23T02:04:39.8031802Z  - 
2022-11-23T02:04:39.8031956Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.8032061Z             {
2022-11-23T02:04:39.8032259Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.8032608Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.8032787Z                 'obj_weakref': None
2022-11-23T02:04:39.8033105Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.8033205Z             }
2022-11-23T02:04:39.8033282Z             
2022-11-23T02:04:39.8033636Z [2022-11-23 02:00:11,801] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 315
2022-11-23T02:04:39.8034126Z [2022-11-23 02:00:14,344] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/s2/cs2447scimixykkkpkatu4prrlnvuirhbsea76wfqtfvzekhnlv4.py
2022-11-23T02:04:39.8034491Z [2022-11-23 02:00:14,344] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 315
2022-11-23T02:04:39.8034829Z [2022-11-23 02:00:14,349] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8035260Z [2022-11-23 02:00:14,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8035561Z [2022-11-23 02:00:14,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8035909Z [2022-11-23 02:00:14,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8036279Z [2022-11-23 02:00:14,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8036688Z [2022-11-23 02:00:14,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8037151Z [2022-11-23 02:00:14,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8037594Z [2022-11-23 02:00:14,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8038100Z [2022-11-23 02:00:14,350] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115a600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857> 
2022-11-23T02:04:39.8038240Z  858           0 LOAD_CONST               1 (2)
2022-11-23T02:04:39.8038377Z               2 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8038517Z               4 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.8038712Z               6 LOAD_CONST               2 (-1)
2022-11-23T02:04:39.8038844Z               8 CALL_METHOD              1
2022-11-23T02:04:39.8038944Z              10 BINARY_MULTIPLY
2022-11-23T02:04:39.8039082Z              12 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8039298Z              14 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.8039429Z              16 CALL_METHOD              0
2022-11-23T02:04:39.8039544Z              18 BINARY_ADD
2022-11-23T02:04:39.8039667Z              20 RETURN_VALUE
2022-11-23T02:04:39.8039769Z  
2022-11-23T02:04:39.8039790Z 
2022-11-23T02:04:39.8040199Z [2022-11-23 02:00:14,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:858
2022-11-23T02:04:39.8040491Z [2022-11-23 02:00:14,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 []
2022-11-23T02:04:39.8040832Z [2022-11-23 02:00:14,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)]
2022-11-23T02:04:39.8041207Z [2022-11-23 02:00:14,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.8041631Z [2022-11-23 02:00:14,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.8042102Z [2022-11-23 02:00:14,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T02:04:39.8042549Z [2022-11-23 02:00:14,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.8042940Z [2022-11-23 02:00:14,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T02:04:39.8043308Z [2022-11-23 02:00:14,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8043725Z [2022-11-23 02:00:14,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.8044071Z [2022-11-23 02:00:14,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8044416Z [2022-11-23 02:00:14,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.8044928Z [2022-11-23 02:00:14,361] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115a600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857>
2022-11-23T02:04:39.8045273Z [2022-11-23 02:00:14,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.8045597Z [2022-11-23 02:00:14,362] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.8045951Z [2022-11-23 02:00:14,363] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.8046303Z [2022-11-23 02:00:14,370] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.8046569Z [2022-11-23 02:00:14,370] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8046770Z  __compiled_fn_324 <eval_with_key>.2418 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8046882Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.8047082Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T02:04:39.8047326Z call_function, mul, <built-in function mul>, (2, sum_1), {}
2022-11-23T02:04:39.8047461Z call_method, sum_2, sum, (ex_0_,), {}
2022-11-23T02:04:39.8047712Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T02:04:39.8047852Z output, output, output, ((add,),), {}
2022-11-23T02:04:39.8047871Z 
2022-11-23T02:04:39.8048314Z [2022-11-23 02:00:14,371] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8048457Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.8048570Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8048704Z               4 BUILD_MAP                0
2022-11-23T02:04:39.8048919Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.8049054Z               8 DICT_MERGE               1
2022-11-23T02:04:39.8049189Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.8049307Z              12 RETURN_VALUE
2022-11-23T02:04:39.8049332Z 
2022-11-23T02:04:39.8049434Z  
2022-11-23T02:04:39.8049875Z [2022-11-23 02:00:14,371] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8050015Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_324)
2022-11-23T02:04:39.8050151Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8050287Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8050406Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.8050537Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.8050673Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.8050793Z              12 RETURN_VALUE
2022-11-23T02:04:39.8050812Z 
2022-11-23T02:04:39.8050885Z  
2022-11-23T02:04:39.8051145Z [2022-11-23 02:00:14,372] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8051257Z  - 
2022-11-23T02:04:39.8051430Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.8051596Z             {
2022-11-23T02:04:39.8051814Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.8052073Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.8052224Z                 'obj_weakref': None
2022-11-23T02:04:39.8052535Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.8052641Z             }
2022-11-23T02:04:39.8052742Z             
2022-11-23T02:04:39.8052853Z  - 
2022-11-23T02:04:39.8053032Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.8053137Z             {
2022-11-23T02:04:39.8053314Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8053477Z                 'code': None,
2022-11-23T02:04:39.8053775Z                 'obj_weakref': <weakref at 0x7fa53c48c040; to 'Tensor' at 0x7fa51c4c71f0>
2022-11-23T02:04:39.8054129Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8054237Z             }
2022-11-23T02:04:39.8054403Z             
2022-11-23T02:04:39.8054518Z  - 
2022-11-23T02:04:39.8054680Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.8054781Z             {
2022-11-23T02:04:39.8054978Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.8055215Z                 'code': ['___check_obj_id(model, 140347992597568)'],
2022-11-23T02:04:39.8055391Z                 'obj_weakref': None
2022-11-23T02:04:39.8055711Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.8055812Z             }
2022-11-23T02:04:39.8055889Z             
2022-11-23T02:04:39.8056009Z  - 
2022-11-23T02:04:39.8056700Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.8056864Z             {
2022-11-23T02:04:39.8057196Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.8057711Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.8057995Z                 'obj_weakref': None
2022-11-23T02:04:39.8058289Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.8058389Z             }
2022-11-23T02:04:39.8058487Z             
2022-11-23T02:04:39.8058843Z [2022-11-23 02:00:14,384] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 316
2022-11-23T02:04:39.8059341Z [2022-11-23 02:00:16,957] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eo/ceoxbvgkfpgvm6rrf6y4k6zrdpltvh6xtgikuvcctr4xj2sx6yvd.py
2022-11-23T02:04:39.8059700Z [2022-11-23 02:00:16,957] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 316
2022-11-23T02:04:39.8060225Z [2022-11-23 02:00:16,962] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8060651Z [2022-11-23 02:00:16,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8060954Z [2022-11-23 02:00:16,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8061273Z [2022-11-23 02:00:16,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8061652Z [2022-11-23 02:00:16,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8062080Z [2022-11-23 02:00:16,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8062541Z [2022-11-23 02:00:16,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8063045Z [2022-11-23 02:00:16,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8063561Z [2022-11-23 02:00:16,963] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115a600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857> 
2022-11-23T02:04:39.8063701Z  858           0 LOAD_CONST               1 (2)
2022-11-23T02:04:39.8063839Z               2 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8063979Z               4 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.8064154Z               6 LOAD_CONST               2 (-1)
2022-11-23T02:04:39.8064285Z               8 CALL_METHOD              1
2022-11-23T02:04:39.8064412Z              10 BINARY_MULTIPLY
2022-11-23T02:04:39.8064546Z              12 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8064690Z              14 LOAD_METHOD              0 (sum)
2022-11-23T02:04:39.8064821Z              16 CALL_METHOD              0
2022-11-23T02:04:39.8064936Z              18 BINARY_ADD
2022-11-23T02:04:39.8065030Z              20 RETURN_VALUE
2022-11-23T02:04:39.8065135Z  
2022-11-23T02:04:39.8065156Z 
2022-11-23T02:04:39.8065587Z [2022-11-23 02:00:16,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:858
2022-11-23T02:04:39.8065879Z [2022-11-23 02:00:16,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 []
2022-11-23T02:04:39.8066214Z [2022-11-23 02:00:16,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)]
2022-11-23T02:04:39.8066591Z [2022-11-23 02:00:16,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.8067011Z [2022-11-23 02:00:16,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.8067483Z [2022-11-23 02:00:16,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T02:04:39.8067945Z [2022-11-23 02:00:16,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.8068273Z [2022-11-23 02:00:16,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T02:04:39.8068616Z [2022-11-23 02:00:16,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8069031Z [2022-11-23 02:00:16,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.8069402Z [2022-11-23 02:00:16,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8069797Z [2022-11-23 02:00:16,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.8070310Z [2022-11-23 02:00:16,971] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115a600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857>
2022-11-23T02:04:39.8070650Z [2022-11-23 02:00:16,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.8070972Z [2022-11-23 02:00:16,971] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.8071323Z [2022-11-23 02:00:16,973] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.8071666Z [2022-11-23 02:00:16,979] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.8071936Z [2022-11-23 02:00:16,980] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8072109Z  __compiled_fn_325 <eval_with_key>.2424 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8072244Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.8072443Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T02:04:39.8072749Z call_function, mul, <built-in function mul>, (2, sum_1), {}
2022-11-23T02:04:39.8072894Z call_method, sum_2, sum, (ex_0_,), {}
2022-11-23T02:04:39.8073142Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T02:04:39.8073285Z output, output, output, ((add,),), {}
2022-11-23T02:04:39.8073305Z 
2022-11-23T02:04:39.8073722Z [2022-11-23 02:00:16,980] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8073862Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.8074000Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8074133Z               4 BUILD_MAP                0
2022-11-23T02:04:39.8074277Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.8074406Z               8 DICT_MERGE               1
2022-11-23T02:04:39.8074543Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.8074665Z              12 RETURN_VALUE
2022-11-23T02:04:39.8074688Z 
2022-11-23T02:04:39.8074764Z  
2022-11-23T02:04:39.8075206Z [2022-11-23 02:00:16,980] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8075364Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_325)
2022-11-23T02:04:39.8075502Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8075640Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8075762Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.8075890Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.8076002Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.8076124Z              12 RETURN_VALUE
2022-11-23T02:04:39.8076144Z 
2022-11-23T02:04:39.8076240Z  
2022-11-23T02:04:39.8076497Z [2022-11-23 02:00:16,982] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8076609Z  - 
2022-11-23T02:04:39.8076784Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.8076890Z             {
2022-11-23T02:04:39.8077093Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.8077331Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.8077503Z                 'obj_weakref': None
2022-11-23T02:04:39.8077815Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.8077916Z             }
2022-11-23T02:04:39.8078014Z             
2022-11-23T02:04:39.8078125Z  - 
2022-11-23T02:04:39.8078304Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.8078383Z             {
2022-11-23T02:04:39.8078589Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8078825Z                 'code': None,
2022-11-23T02:04:39.8079119Z                 'obj_weakref': <weakref at 0x7fa531eb3f60; to 'Tensor' at 0x7fa550384fe0>
2022-11-23T02:04:39.8079468Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8079568Z             }
2022-11-23T02:04:39.8079670Z             
2022-11-23T02:04:39.8079759Z  - 
2022-11-23T02:04:39.8079952Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.8080057Z             {
2022-11-23T02:04:39.8080252Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.8080490Z                 'code': ['___check_obj_id(model, 140347992597568)'],
2022-11-23T02:04:39.8080664Z                 'obj_weakref': None
2022-11-23T02:04:39.8080982Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.8081061Z             }
2022-11-23T02:04:39.8081161Z             
2022-11-23T02:04:39.8081274Z  - 
2022-11-23T02:04:39.8081454Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.8081557Z             {
2022-11-23T02:04:39.8081759Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.8082122Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.8082280Z                 'obj_weakref': None
2022-11-23T02:04:39.8082589Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.8082687Z             }
2022-11-23T02:04:39.8082791Z             
2022-11-23T02:04:39.8083146Z [2022-11-23 02:00:16,993] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 317
2022-11-23T02:04:39.8083634Z [2022-11-23 02:00:19,625] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gj/cgjm3xtlf6nfhvw36o6buuwj7wmq6th3onlkfsx3yajgbkviq6lc.py
2022-11-23T02:04:39.8083998Z [2022-11-23 02:00:19,626] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 317
2022-11-23T02:04:39.8084024Z 
2022-11-23T02:04:39.8084168Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8084256Z import torch
2022-11-23T02:04:39.8084367Z import random
2022-11-23T02:04:39.8084540Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8084719Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8084738Z 
2022-11-23T02:04:39.8084859Z aten = torch.ops.aten
2022-11-23T02:04:39.8085054Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8085191Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8085211Z 
2022-11-23T02:04:39.8085230Z 
2022-11-23T02:04:39.8085427Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.8085689Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.8085863Z extern "C" void kernel(long* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.8086018Z                        const bool* __restrict__ in_ptr0,
2022-11-23T02:04:39.8086171Z                        long* __restrict__ out_ptr1)
2022-11-23T02:04:39.8086268Z {
2022-11-23T02:04:39.8086399Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T02:04:39.8086498Z     {
2022-11-23T02:04:39.8086573Z         {
2022-11-23T02:04:39.8086693Z             long tmp2 = 0;
2022-11-23T02:04:39.8086878Z             long tmp3 = 0;
2022-11-23T02:04:39.8087036Z             #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.8087138Z             {
2022-11-23T02:04:39.8087324Z                 #pragma omp for reduction(+:tmp2) reduction(+:tmp3) 
2022-11-23T02:04:39.8087462Z                 for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:39.8087544Z                 {
2022-11-23T02:04:39.8087649Z                     {
2022-11-23T02:04:39.8087795Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.8087956Z                         auto tmp1 = static_cast<long>(tmp0);
2022-11-23T02:04:39.8088079Z                         tmp2 += tmp1;
2022-11-23T02:04:39.8088290Z                         tmp3 += tmp1;
2022-11-23T02:04:39.8088372Z                     }
2022-11-23T02:04:39.8088476Z                 }
2022-11-23T02:04:39.8088576Z             }
2022-11-23T02:04:39.8088698Z             out_ptr0[0] = tmp2;
2022-11-23T02:04:39.8088824Z             out_ptr1[0] = tmp3;
2022-11-23T02:04:39.8088927Z         }
2022-11-23T02:04:39.8089023Z     }
2022-11-23T02:04:39.8089098Z     {
2022-11-23T02:04:39.8089198Z         {
2022-11-23T02:04:39.8089330Z             auto tmp0 = out_ptr0[0];
2022-11-23T02:04:39.8089458Z             auto tmp3 = out_ptr1[0];
2022-11-23T02:04:39.8089601Z             auto tmp1 = static_cast<long>(2);
2022-11-23T02:04:39.8089731Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.8089858Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.8089960Z             in_out_ptr0[0] = tmp4;
2022-11-23T02:04:39.8090060Z         }
2022-11-23T02:04:39.8090162Z     }
2022-11-23T02:04:39.8090259Z }
2022-11-23T02:04:39.8090396Z ''')
2022-11-23T02:04:39.8090422Z 
2022-11-23T02:04:39.8090441Z 
2022-11-23T02:04:39.8090582Z async_compile.wait(globals())
2022-11-23T02:04:39.8090695Z del async_compile
2022-11-23T02:04:39.8090714Z 
2022-11-23T02:04:39.8090801Z def call(args):
2022-11-23T02:04:39.8090909Z     arg0_1, = args
2022-11-23T02:04:39.8091082Z     args.clear()
2022-11-23T02:04:39.8091346Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.8091595Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.8091723Z     buf2 = buf0; del buf0  # reuse
2022-11-23T02:04:39.8091959Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.8092044Z     del arg0_1
2022-11-23T02:04:39.8092155Z     return (buf2, )
2022-11-23T02:04:39.8092175Z 
2022-11-23T02:04:39.8092194Z 
2022-11-23T02:04:39.8092312Z if __name__ == "__main__":
2022-11-23T02:04:39.8092477Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8092652Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8092922Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.8093082Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.8093101Z 
2022-11-23T02:04:39.8093120Z 
2022-11-23T02:04:39.8093264Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8093351Z import torch
2022-11-23T02:04:39.8093464Z import random
2022-11-23T02:04:39.8093626Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8093804Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8093823Z 
2022-11-23T02:04:39.8093942Z aten = torch.ops.aten
2022-11-23T02:04:39.8094133Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8094268Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8094288Z 
2022-11-23T02:04:39.8094306Z 
2022-11-23T02:04:39.8094504Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.8094769Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.8094940Z extern "C" void kernel(long* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.8095102Z                        const unsigned char* __restrict__ in_ptr0,
2022-11-23T02:04:39.8095252Z                        long* __restrict__ out_ptr1)
2022-11-23T02:04:39.8095349Z {
2022-11-23T02:04:39.8095478Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T02:04:39.8095576Z     {
2022-11-23T02:04:39.8095652Z         {
2022-11-23T02:04:39.8095764Z             long tmp2 = 0;
2022-11-23T02:04:39.8095878Z             long tmp3 = 0;
2022-11-23T02:04:39.8096509Z             #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.8096699Z             {
2022-11-23T02:04:39.8097003Z                 #pragma omp for reduction(+:tmp2) reduction(+:tmp3) 
2022-11-23T02:04:39.8097222Z                 for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:39.8097306Z                 {
2022-11-23T02:04:39.8097411Z                     {
2022-11-23T02:04:39.8097557Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.8097885Z                         auto tmp1 = static_cast<long>(tmp0);
2022-11-23T02:04:39.8098006Z                         tmp2 += tmp1;
2022-11-23T02:04:39.8098128Z                         tmp3 += tmp1;
2022-11-23T02:04:39.8098240Z                     }
2022-11-23T02:04:39.8098318Z                 }
2022-11-23T02:04:39.8098424Z             }
2022-11-23T02:04:39.8098542Z             out_ptr0[0] = tmp2;
2022-11-23T02:04:39.8098665Z             out_ptr1[0] = tmp3;
2022-11-23T02:04:39.8098760Z         }
2022-11-23T02:04:39.8098861Z     }
2022-11-23T02:04:39.8098958Z     {
2022-11-23T02:04:39.8099034Z         {
2022-11-23T02:04:39.8099162Z             auto tmp0 = out_ptr0[0];
2022-11-23T02:04:39.8099288Z             auto tmp3 = out_ptr1[0];
2022-11-23T02:04:39.8099437Z             auto tmp1 = static_cast<long>(2);
2022-11-23T02:04:39.8099568Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.8099696Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.8099803Z             in_out_ptr0[0] = tmp4;
2022-11-23T02:04:39.8099908Z         }
2022-11-23T02:04:39.8100002Z     }
2022-11-23T02:04:39.8100096Z }
2022-11-23T02:04:39.8100250Z ''')
2022-11-23T02:04:39.8100270Z 
2022-11-23T02:04:39.8100289Z 
2022-11-23T02:04:39.8100425Z async_compile.wait(globals())
2022-11-23T02:04:39.8100624Z del async_compile
2022-11-23T02:04:39.8100646Z 
2022-11-23T02:04:39.8100762Z def call(args):
2022-11-23T02:04:39.8100848Z     arg0_1, = args
2022-11-23T02:04:39.8100960Z     args.clear()
2022-11-23T02:04:39.8101222Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.8101471Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.8101598Z     buf2 = buf0; del buf0  # reuse
2022-11-23T02:04:39.8101828Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.8101937Z     del arg0_1
2022-11-23T02:04:39.8102024Z     return (buf2, )
2022-11-23T02:04:39.8102047Z 
2022-11-23T02:04:39.8102065Z 
2022-11-23T02:04:39.8102187Z if __name__ == "__main__":
2022-11-23T02:04:39.8102358Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8102539Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8102810Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.uint8)
2022-11-23T02:04:39.8102968Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.8102987Z 
2022-11-23T02:04:39.8103005Z 
2022-11-23T02:04:39.8103144Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8103251Z import torch
2022-11-23T02:04:39.8103339Z import random
2022-11-23T02:04:39.8103507Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8103681Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8103702Z 
2022-11-23T02:04:39.8103822Z aten = torch.ops.aten
2022-11-23T02:04:39.8104015Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8104153Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8104176Z 
2022-11-23T02:04:39.8104230Z 
2022-11-23T02:04:39.8104394Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.8104676Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.8104825Z extern "C" void kernel(long* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.8104981Z                        const int* __restrict__ in_ptr0,
2022-11-23T02:04:39.8105126Z                        long* __restrict__ out_ptr1)
2022-11-23T02:04:39.8105224Z {
2022-11-23T02:04:39.8105356Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T02:04:39.8105459Z     {
2022-11-23T02:04:39.8105561Z         {
2022-11-23T02:04:39.8105656Z             long tmp2 = 0;
2022-11-23T02:04:39.8105769Z             long tmp3 = 0;
2022-11-23T02:04:39.8105923Z             #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.8106024Z             {
2022-11-23T02:04:39.8106210Z                 #pragma omp for reduction(+:tmp2) reduction(+:tmp3) 
2022-11-23T02:04:39.8106424Z                 for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:39.8106525Z                 {
2022-11-23T02:04:39.8106606Z                     {
2022-11-23T02:04:39.8106751Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.8106920Z                         auto tmp1 = static_cast<long>(tmp0);
2022-11-23T02:04:39.8107046Z                         tmp2 += tmp1;
2022-11-23T02:04:39.8107162Z                         tmp3 += tmp1;
2022-11-23T02:04:39.8107267Z                     }
2022-11-23T02:04:39.8107369Z                 }
2022-11-23T02:04:39.8107446Z             }
2022-11-23T02:04:39.8107571Z             out_ptr0[0] = tmp2;
2022-11-23T02:04:39.8107692Z             out_ptr1[0] = tmp3;
2022-11-23T02:04:39.8107793Z         }
2022-11-23T02:04:39.8107886Z     }
2022-11-23T02:04:39.8107985Z     {
2022-11-23T02:04:39.8108060Z         {
2022-11-23T02:04:39.8108194Z             auto tmp0 = out_ptr0[0];
2022-11-23T02:04:39.8108323Z             auto tmp3 = out_ptr1[0];
2022-11-23T02:04:39.8108469Z             auto tmp1 = static_cast<long>(2);
2022-11-23T02:04:39.8108597Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.8108722Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.8108849Z             in_out_ptr0[0] = tmp4;
2022-11-23T02:04:39.8108924Z         }
2022-11-23T02:04:39.8109074Z     }
2022-11-23T02:04:39.8109178Z }
2022-11-23T02:04:39.8109310Z ''')
2022-11-23T02:04:39.8109329Z 
2022-11-23T02:04:39.8109348Z 
2022-11-23T02:04:39.8109489Z async_compile.wait(globals())
2022-11-23T02:04:39.8109604Z del async_compile
2022-11-23T02:04:39.8109622Z 
2022-11-23T02:04:39.8109733Z def call(args):
2022-11-23T02:04:39.8109817Z     arg0_1, = args
2022-11-23T02:04:39.8109931Z     args.clear()
2022-11-23T02:04:39.8110184Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.8110435Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.8110570Z     buf2 = buf0; del buf0  # reuse
2022-11-23T02:04:39.8110799Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.8110911Z     del arg0_1
2022-11-23T02:04:39.8110999Z     return (buf2, )
2022-11-23T02:04:39.8111041Z 
2022-11-23T02:04:39.8111060Z 
2022-11-23T02:04:39.8111153Z if __name__ == "__main__":
2022-11-23T02:04:39.8111324Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8111500Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8111770Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:39.8111929Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.8111948Z 
2022-11-23T02:04:39.8112058Z ok (7.863s)
2022-11-23T02:04:39.8112481Z   test_sum_keepdims_cpu (__main__.CpuTests) ... [2022-11-23 02:00:19,632] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8112912Z [2022-11-23 02:00:19,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8113197Z [2022-11-23 02:00:19,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8113547Z [2022-11-23 02:00:19,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8113926Z [2022-11-23 02:00:19,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8114365Z [2022-11-23 02:00:19,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8114835Z [2022-11-23 02:00:19,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8115267Z [2022-11-23 02:00:19,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8115847Z [2022-11-23 02:00:19,634] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641131630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1224> 
2022-11-23T02:04:39.8115992Z  1225           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8116134Z                2 LOAD_ATTR                1 (sum)
2022-11-23T02:04:39.8116273Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.8116383Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.8116498Z                8 BINARY_ADD
2022-11-23T02:04:39.8116697Z               10 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8116839Z               12 LOAD_CONST               2 (True)
2022-11-23T02:04:39.8117054Z               14 LOAD_CONST               3 (('keepdim',))
2022-11-23T02:04:39.8117194Z               16 CALL_FUNCTION_KW         3
2022-11-23T02:04:39.8117333Z               18 BUILD_TUPLE              1
2022-11-23T02:04:39.8117429Z               20 RETURN_VALUE
2022-11-23T02:04:39.8117533Z  
2022-11-23T02:04:39.8117553Z 
2022-11-23T02:04:39.8117983Z [2022-11-23 02:00:19,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1225
2022-11-23T02:04:39.8118336Z [2022-11-23 02:00:19,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8118832Z [2022-11-23 02:00:19,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8119263Z [2022-11-23 02:00:19,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.8119728Z [2022-11-23 02:00:19,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.8120236Z [2022-11-23 02:00:19,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8120713Z [2022-11-23 02:00:19,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.8121231Z [2022-11-23 02:00:19,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8121824Z [2022-11-23 02:00:19,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T02:04:39.8122521Z [2022-11-23 02:00:19,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method sum of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T02:04:39.8122841Z [2022-11-23 02:00:19,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:39.8123182Z [2022-11-23 02:00:19,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8123687Z [2022-11-23 02:00:19,639] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641131630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1224>
2022-11-23T02:04:39.8124026Z [2022-11-23 02:00:19,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8124351Z [2022-11-23 02:00:19,639] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.8124701Z [2022-11-23 02:00:19,641] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.8125194Z [2022-11-23 02:00:19,647] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.8125460Z [2022-11-23 02:00:19,648] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8125661Z  __compiled_fn_326 <eval_with_key>.2430 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8125775Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.8125911Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.8126156Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:39.8126498Z call_function, sum_1, <built-in method sum of type object at 0x7fa5855aec60>, (add, -1), {'keepdim': True}
2022-11-23T02:04:39.8126641Z output, output, output, ((sum_1,),), {}
2022-11-23T02:04:39.8126661Z 
2022-11-23T02:04:39.8127100Z [2022-11-23 02:00:19,649] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8127248Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.8127387Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8127495Z               4 BUILD_MAP                0
2022-11-23T02:04:39.8127637Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.8127824Z               8 DICT_MERGE               1
2022-11-23T02:04:39.8127968Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.8128086Z              12 RETURN_VALUE
2022-11-23T02:04:39.8128106Z 
2022-11-23T02:04:39.8128204Z  
2022-11-23T02:04:39.8128647Z [2022-11-23 02:00:19,649] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8128808Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_326)
2022-11-23T02:04:39.8128922Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8129055Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8129173Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.8129313Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8129449Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8129569Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.8129701Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.8129830Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.8129989Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8130120Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8130238Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.8130370Z              24 BUILD_TUPLE              1
2022-11-23T02:04:39.8130486Z              26 RETURN_VALUE
2022-11-23T02:04:39.8130505Z 
2022-11-23T02:04:39.8130606Z  
2022-11-23T02:04:39.8130848Z [2022-11-23 02:00:19,650] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8130958Z  - 
2022-11-23T02:04:39.8131129Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.8131237Z             {
2022-11-23T02:04:39.8131438Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.8131702Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.8131876Z                 'obj_weakref': None
2022-11-23T02:04:39.8132167Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.8132275Z             }
2022-11-23T02:04:39.8132375Z             
2022-11-23T02:04:39.8132484Z  - 
2022-11-23T02:04:39.8132669Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.8132775Z             {
2022-11-23T02:04:39.8132978Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8133113Z                 'code': None,
2022-11-23T02:04:39.8133405Z                 'obj_weakref': <weakref at 0x7fa52469f010; to 'Tensor' at 0x7fa55030fc40>
2022-11-23T02:04:39.8133754Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8133923Z             }
2022-11-23T02:04:39.8134026Z             
2022-11-23T02:04:39.8134139Z  - 
2022-11-23T02:04:39.8134315Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.8134392Z             {
2022-11-23T02:04:39.8134597Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8134758Z                 'code': None,
2022-11-23T02:04:39.8135054Z                 'obj_weakref': <weakref at 0x7fa53c3d6020; to 'Tensor' at 0x7fa550384fe0>
2022-11-23T02:04:39.8135399Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8135501Z             }
2022-11-23T02:04:39.8135600Z             
2022-11-23T02:04:39.8135686Z  - 
2022-11-23T02:04:39.8135870Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.8135970Z             {
2022-11-23T02:04:39.8136837Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.8137261Z                 'code': ['___check_obj_id(model, 140347992597568)'],
2022-11-23T02:04:39.8137559Z                 'obj_weakref': None
2022-11-23T02:04:39.8138100Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.8138227Z             }
2022-11-23T02:04:39.8138369Z             
2022-11-23T02:04:39.8138687Z  - 
2022-11-23T02:04:39.8138882Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.8138982Z             {
2022-11-23T02:04:39.8139179Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.8139477Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.8139626Z                 'obj_weakref': None
2022-11-23T02:04:39.8139934Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.8140031Z             }
2022-11-23T02:04:39.8140132Z             
2022-11-23T02:04:39.8140242Z  - 
2022-11-23T02:04:39.8140433Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.8140537Z             {
2022-11-23T02:04:39.8140689Z                 'guard_types': None,
2022-11-23T02:04:39.8140841Z                 'code': None,
2022-11-23T02:04:39.8141013Z                 'obj_weakref': None
2022-11-23T02:04:39.8141182Z                 'guarded_class': None
2022-11-23T02:04:39.8141287Z             }
2022-11-23T02:04:39.8141387Z             
2022-11-23T02:04:39.8141748Z [2022-11-23 02:00:19,660] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 318
2022-11-23T02:04:39.8142226Z [2022-11-23 02:00:19,675] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/df/cdfftyiwyywtvokzfcsqmmcaossbwzek6i36wuug35ichxkfan7g.py
2022-11-23T02:04:39.8142593Z [2022-11-23 02:00:19,676] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 318
2022-11-23T02:04:39.8142613Z 
2022-11-23T02:04:39.8142756Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8142868Z import torch
2022-11-23T02:04:39.8142981Z import random
2022-11-23T02:04:39.8143151Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8143333Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8143352Z 
2022-11-23T02:04:39.8143477Z aten = torch.ops.aten
2022-11-23T02:04:39.8143650Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8143789Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8143808Z 
2022-11-23T02:04:39.8143827Z 
2022-11-23T02:04:39.8144022Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.8144306Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.8144480Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.8144637Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.8144782Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.8144883Z {
2022-11-23T02:04:39.8145009Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.8145207Z     {
2022-11-23T02:04:39.8145328Z         #pragma omp for 
2022-11-23T02:04:39.8145456Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.8145555Z         {
2022-11-23T02:04:39.8145660Z             {
2022-11-23T02:04:39.8146022Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.8146186Z                 float tmp3 = 0;
2022-11-23T02:04:39.8146363Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T02:04:39.8146498Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:39.8146605Z                 {
2022-11-23T02:04:39.8146808Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:39.8147010Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T02:04:39.8147149Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.8147278Z                     tmp3_vec += tmp2;
2022-11-23T02:04:39.8147361Z                 }
2022-11-23T02:04:39.8147636Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T02:04:39.8147856Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T02:04:39.8147995Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:39.8148096Z                 {
2022-11-23T02:04:39.8148244Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:39.8148390Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T02:04:39.8148528Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.8148626Z                     tmp3 += tmp2;
2022-11-23T02:04:39.8148728Z                 }
2022-11-23T02:04:39.8148852Z                 out_ptr0[i0] = tmp3;
2022-11-23T02:04:39.8148956Z             }
2022-11-23T02:04:39.8149055Z         }
2022-11-23T02:04:39.8149155Z     }
2022-11-23T02:04:39.8149228Z }
2022-11-23T02:04:39.8149365Z ''')
2022-11-23T02:04:39.8149385Z 
2022-11-23T02:04:39.8149404Z 
2022-11-23T02:04:39.8149537Z async_compile.wait(globals())
2022-11-23T02:04:39.8149650Z del async_compile
2022-11-23T02:04:39.8149669Z 
2022-11-23T02:04:39.8149779Z def call(args):
2022-11-23T02:04:39.8149902Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.8150016Z     args.clear()
2022-11-23T02:04:39.8150288Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8150495Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.8150607Z     del arg0_1
2022-11-23T02:04:39.8150713Z     del arg1_1
2022-11-23T02:04:39.8150830Z     return (buf0, )
2022-11-23T02:04:39.8150850Z 
2022-11-23T02:04:39.8150868Z 
2022-11-23T02:04:39.8150987Z if __name__ == "__main__":
2022-11-23T02:04:39.8151152Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8151331Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8151587Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8151860Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8152031Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.8152054Z 
2022-11-23T02:04:39.8152160Z ok (0.050s)
2022-11-23T02:04:39.8152573Z   test_tanh_cpu (__main__.CpuTests) ... [2022-11-23 02:00:19,682] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8153010Z [2022-11-23 02:00:19,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8153315Z [2022-11-23 02:00:19,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8153659Z [2022-11-23 02:00:19,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8154043Z [2022-11-23 02:00:19,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8154522Z [2022-11-23 02:00:19,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8155002Z [2022-11-23 02:00:19,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8155444Z [2022-11-23 02:00:19,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8155949Z [2022-11-23 02:00:19,683] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fba760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2116> 
2022-11-23T02:04:39.8156092Z  2117           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.8156231Z                2 LOAD_METHOD              1 (tanh)
2022-11-23T02:04:39.8156374Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8156508Z                6 CALL_METHOD              1
2022-11-23T02:04:39.8156647Z                8 LOAD_CONST               1 (2)
2022-11-23T02:04:39.8156791Z               10 BINARY_ADD
2022-11-23T02:04:39.8156940Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.8157079Z               14 LOAD_METHOD              1 (tanh)
2022-11-23T02:04:39.8157214Z               16 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8157347Z               18 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8157459Z               20 BINARY_ADD
2022-11-23T02:04:39.8157594Z               22 CALL_METHOD              1
2022-11-23T02:04:39.8157705Z               24 BUILD_TUPLE              2
2022-11-23T02:04:39.8157826Z               26 RETURN_VALUE
2022-11-23T02:04:39.8157925Z  
2022-11-23T02:04:39.8157944Z 
2022-11-23T02:04:39.8158377Z [2022-11-23 02:00:19,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2117
2022-11-23T02:04:39.8158680Z [2022-11-23 02:00:19,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.8159098Z [2022-11-23 02:00:19,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tanh [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.8159441Z [2022-11-23 02:00:19,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.tanh)]
2022-11-23T02:04:39.8159831Z [2022-11-23 02:00:19,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T02:04:39.8160158Z [2022-11-23 02:00:19,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:39.8160516Z [2022-11-23 02:00:19,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8160857Z [2022-11-23 02:00:19,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.8161313Z [2022-11-23 02:00:19,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tanh [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.8161687Z [2022-11-23 02:00:19,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.tanh)]
2022-11-23T02:04:39.8162100Z [2022-11-23 02:00:19,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T02:04:39.8162566Z [2022-11-23 02:00:19,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.tanh), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8162981Z [2022-11-23 02:00:19,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T02:04:39.8163415Z [2022-11-23 02:00:19,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8163758Z [2022-11-23 02:00:19,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8164279Z [2022-11-23 02:00:19,708] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fba760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2116>
2022-11-23T02:04:39.8164611Z [2022-11-23 02:00:19,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8164911Z [2022-11-23 02:00:19,708] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.8165259Z [2022-11-23 02:00:19,710] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.8165601Z [2022-11-23 02:00:19,717] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.8165868Z [2022-11-23 02:00:19,718] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8166063Z  __compiled_fn_327 <eval_with_key>.2436 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8166247Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.8166409Z call_function, tanh, aten.tanh, (ex_0_,), {}
2022-11-23T02:04:39.8166653Z call_function, add, <built-in function add>, (tanh, 2), {}
2022-11-23T02:04:39.8166875Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.8167034Z call_function, tanh_1, aten.tanh, (add_1,), {}
2022-11-23T02:04:39.8167187Z output, output, output, ((add, tanh_1),), {}
2022-11-23T02:04:39.8167206Z 
2022-11-23T02:04:39.8167647Z [2022-11-23 02:00:19,718] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8167790Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.8167932Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8168064Z               4 BUILD_MAP                0
2022-11-23T02:04:39.8168205Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.8168311Z               8 DICT_MERGE               1
2022-11-23T02:04:39.8168448Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.8168564Z              12 RETURN_VALUE
2022-11-23T02:04:39.8168584Z 
2022-11-23T02:04:39.8168684Z  
2022-11-23T02:04:39.8169120Z [2022-11-23 02:00:19,718] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8169280Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_327)
2022-11-23T02:04:39.8169415Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8169527Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8169648Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.8169779Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.8169936Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.8170086Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8170222Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8170344Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.8170499Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8170611Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8170730Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.8170861Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.8170977Z              26 RETURN_VALUE
2022-11-23T02:04:39.8170998Z 
2022-11-23T02:04:39.8171096Z  
2022-11-23T02:04:39.8171359Z [2022-11-23 02:00:19,720] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8171472Z  - 
2022-11-23T02:04:39.8171621Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.8171724Z             {
2022-11-23T02:04:39.8171928Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.8172260Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.8172437Z                 'obj_weakref': None
2022-11-23T02:04:39.8172747Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.8172853Z             }
2022-11-23T02:04:39.8172930Z             
2022-11-23T02:04:39.8173041Z  - 
2022-11-23T02:04:39.8173223Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.8173323Z             {
2022-11-23T02:04:39.8173526Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8173681Z                 'code': None,
2022-11-23T02:04:39.8173976Z                 'obj_weakref': <weakref at 0x7fa53c396520; to 'Tensor' at 0x7fa550384fe0>
2022-11-23T02:04:39.8174299Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8174398Z             }
2022-11-23T02:04:39.8174500Z             
2022-11-23T02:04:39.8174611Z  - 
2022-11-23T02:04:39.8174799Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.8174901Z             {
2022-11-23T02:04:39.8175095Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.8175368Z                 'code': ['___check_obj_id(model, 140347992597568)'],
2022-11-23T02:04:39.8175548Z                 'obj_weakref': None
2022-11-23T02:04:39.8175862Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.8175964Z             }
2022-11-23T02:04:39.8176679Z             
2022-11-23T02:04:39.8176879Z  - 
2022-11-23T02:04:39.8177172Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.8177298Z             {
2022-11-23T02:04:39.8177626Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.8178143Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.8178407Z                 'obj_weakref': None
2022-11-23T02:04:39.8178730Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.8178830Z             }
2022-11-23T02:04:39.8178929Z             
2022-11-23T02:04:39.8179015Z  - 
2022-11-23T02:04:39.8179203Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.8179304Z             {
2022-11-23T02:04:39.8179477Z                 'guard_types': None,
2022-11-23T02:04:39.8179632Z                 'code': None,
2022-11-23T02:04:39.8179805Z                 'obj_weakref': None
2022-11-23T02:04:39.8179980Z                 'guarded_class': None
2022-11-23T02:04:39.8180057Z             }
2022-11-23T02:04:39.8180160Z             
2022-11-23T02:04:39.8180518Z [2022-11-23 02:00:19,747] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 319
2022-11-23T02:04:39.8181008Z [2022-11-23 02:00:22,344] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bs/cbsfn2t4dwhjr7nv6soxso45uvhm4rvuoosp4msxf3sgpy4isto2.py
2022-11-23T02:04:39.8181378Z [2022-11-23 02:00:22,345] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 319
2022-11-23T02:04:39.8181398Z 
2022-11-23T02:04:39.8181539Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8181650Z import torch
2022-11-23T02:04:39.8181742Z import random
2022-11-23T02:04:39.8181912Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8182086Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8182105Z 
2022-11-23T02:04:39.8182225Z aten = torch.ops.aten
2022-11-23T02:04:39.8182415Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8182553Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8182572Z 
2022-11-23T02:04:39.8182591Z 
2022-11-23T02:04:39.8182788Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.8183070Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.8183242Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.8183536Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.8183682Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.8183779Z {
2022-11-23T02:04:39.8183932Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.8184032Z     {
2022-11-23T02:04:39.8184154Z         #pragma omp for 
2022-11-23T02:04:39.8184257Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.8184358Z         {
2022-11-23T02:04:39.8184584Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.8184871Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-2.0));
2022-11-23T02:04:39.8185005Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.8185135Z             auto tmp3 = tmp2.exp();
2022-11-23T02:04:39.8185333Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2022-11-23T02:04:39.8185460Z             auto tmp5 = tmp3 + tmp4;
2022-11-23T02:04:39.8185586Z             auto tmp6 = tmp5.reciprocal();
2022-11-23T02:04:39.8185776Z             auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(2.0));
2022-11-23T02:04:39.8185905Z             auto tmp8 = tmp6 * tmp7;
2022-11-23T02:04:39.8186165Z             auto tmp9 = tmp8 - tmp4;
2022-11-23T02:04:39.8186366Z             auto tmp10 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:39.8186496Z             auto tmp11 = tmp9 + tmp10;
2022-11-23T02:04:39.8186686Z             auto tmp12 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.8186863Z             auto tmp13 = tmp0 + tmp12;
2022-11-23T02:04:39.8186969Z             auto tmp14 = tmp13 * tmp1;
2022-11-23T02:04:39.8187099Z             auto tmp15 = tmp14.exp();
2022-11-23T02:04:39.8187230Z             auto tmp16 = tmp15 + tmp4;
2022-11-23T02:04:39.8187379Z             auto tmp17 = tmp16.reciprocal();
2022-11-23T02:04:39.8187506Z             auto tmp18 = tmp17 * tmp7;
2022-11-23T02:04:39.8187703Z             auto tmp19 = tmp18 - tmp4;
2022-11-23T02:04:39.8187846Z             tmp11.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.8187961Z             tmp19.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.8188061Z         }
2022-11-23T02:04:39.8188205Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.8188339Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T02:04:39.8188442Z         {
2022-11-23T02:04:39.8188567Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.8188777Z             auto tmp1 = static_cast<float>(-2.0);
2022-11-23T02:04:39.8188884Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.8189012Z             auto tmp3 = std::exp(tmp2);
2022-11-23T02:04:39.8189158Z             auto tmp4 = static_cast<float>(1.0);
2022-11-23T02:04:39.8189281Z             auto tmp5 = tmp3 + tmp4;
2022-11-23T02:04:39.8189397Z             auto tmp6 = 1 / tmp5;
2022-11-23T02:04:39.8189541Z             auto tmp7 = static_cast<float>(2.0);
2022-11-23T02:04:39.8189660Z             auto tmp8 = tmp6 * tmp7;
2022-11-23T02:04:39.8189824Z             auto tmp9 = tmp8 - tmp4;
2022-11-23T02:04:39.8189966Z             auto tmp10 = static_cast<float>(2);
2022-11-23T02:04:39.8190095Z             auto tmp11 = tmp9 + tmp10;
2022-11-23T02:04:39.8190234Z             auto tmp12 = static_cast<float>(1);
2022-11-23T02:04:39.8190362Z             auto tmp13 = tmp0 + tmp12;
2022-11-23T02:04:39.8190485Z             auto tmp14 = tmp13 * tmp1;
2022-11-23T02:04:39.8190620Z             auto tmp15 = std::exp(tmp14);
2022-11-23T02:04:39.8190726Z             auto tmp16 = tmp15 + tmp4;
2022-11-23T02:04:39.8190849Z             auto tmp17 = 1 / tmp16;
2022-11-23T02:04:39.8190970Z             auto tmp18 = tmp17 * tmp7;
2022-11-23T02:04:39.8191148Z             auto tmp19 = tmp18 - tmp4;
2022-11-23T02:04:39.8191269Z             out_ptr0[i0] = tmp11;
2022-11-23T02:04:39.8191388Z             out_ptr1[i0] = tmp19;
2022-11-23T02:04:39.8191482Z         }
2022-11-23T02:04:39.8191558Z     }
2022-11-23T02:04:39.8191647Z }
2022-11-23T02:04:39.8191852Z ''')
2022-11-23T02:04:39.8191872Z 
2022-11-23T02:04:39.8191891Z 
2022-11-23T02:04:39.8192028Z async_compile.wait(globals())
2022-11-23T02:04:39.8192137Z del async_compile
2022-11-23T02:04:39.8192156Z 
2022-11-23T02:04:39.8192263Z def call(args):
2022-11-23T02:04:39.8192368Z     arg0_1, = args
2022-11-23T02:04:39.8192461Z     args.clear()
2022-11-23T02:04:39.8192736Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8193005Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8193238Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.8193343Z     del arg0_1
2022-11-23T02:04:39.8193459Z     return (buf0, buf1, )
2022-11-23T02:04:39.8193479Z 
2022-11-23T02:04:39.8193497Z 
2022-11-23T02:04:39.8193611Z if __name__ == "__main__":
2022-11-23T02:04:39.8193772Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8193926Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8194203Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8194358Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.8194376Z 
2022-11-23T02:04:39.8194529Z ok (2.669s)
2022-11-23T02:04:39.8194947Z   test_tensor1_cpu (__main__.CpuTests) ... [2022-11-23 02:00:22,351] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8195375Z [2022-11-23 02:00:22,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8195677Z [2022-11-23 02:00:22,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8196021Z [2022-11-23 02:00:22,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8196376Z [2022-11-23 02:00:22,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8196808Z [2022-11-23 02:00:22,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8197271Z [2022-11-23 02:00:22,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8197705Z [2022-11-23 02:00:22,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8198201Z [2022-11-23 02:00:22,352] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115b1b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 914> 
2022-11-23T02:04:39.8198341Z  915           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8198471Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T02:04:39.8198606Z               4 LOAD_CONST               1 (1)
2022-11-23T02:04:39.8198734Z               6 BUILD_LIST               1
2022-11-23T02:04:39.8198846Z               8 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8198978Z              10 LOAD_ATTR                2 (device)
2022-11-23T02:04:39.8199189Z              12 LOAD_CONST               2 (('device',))
2022-11-23T02:04:39.8199321Z              14 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.8199453Z              16 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8199564Z              18 BINARY_ADD
2022-11-23T02:04:39.8199700Z              20 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8199833Z              22 LOAD_ATTR                1 (tensor)
2022-11-23T02:04:39.8199853Z 
2022-11-23T02:04:39.8199965Z 916          24 LOAD_CONST               3 (5)
2022-11-23T02:04:39.8200097Z              26 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8200230Z              28 LOAD_ATTR                2 (device)
2022-11-23T02:04:39.8200249Z 
2022-11-23T02:04:39.8200525Z 915          30 LOAD_CONST               2 (('device',))
2022-11-23T02:04:39.8200657Z              32 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.8200787Z              34 BUILD_TUPLE              2
2022-11-23T02:04:39.8200899Z              36 RETURN_VALUE
2022-11-23T02:04:39.8200977Z  
2022-11-23T02:04:39.8201016Z 
2022-11-23T02:04:39.8201422Z [2022-11-23 02:00:22,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:915
2022-11-23T02:04:39.8201720Z [2022-11-23 02:00:22,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8202217Z [2022-11-23 02:00:22,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8202662Z [2022-11-23 02:00:22,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.8203148Z [2022-11-23 02:00:22,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int)]
2022-11-23T02:04:39.8203661Z [2022-11-23 02:00:22,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable()]
2022-11-23T02:04:39.8204178Z [2022-11-23 02:00:22,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.8204706Z [2022-11-23 02:00:22,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T02:04:39.8205285Z [2022-11-23 02:00:22,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:39.8205615Z [2022-11-23 02:00:22,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T02:04:39.8205994Z [2022-11-23 02:00:22,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8206395Z [2022-11-23 02:00:22,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.8206940Z [2022-11-23 02:00:22,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8207369Z [2022-11-23 02:00:22,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:916
2022-11-23T02:04:39.8207845Z [2022-11-23 02:00:22,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.8208378Z [2022-11-23 02:00:22,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int)]
2022-11-23T02:04:39.8208947Z [2022-11-23 02:00:22,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:39.8209366Z [2022-11-23 02:00:22,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:915
2022-11-23T02:04:39.8209946Z [2022-11-23 02:00:22,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T02:04:39.8210658Z [2022-11-23 02:00:22,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:39.8211032Z [2022-11-23 02:00:22,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8211369Z [2022-11-23 02:00:22,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8211876Z [2022-11-23 02:00:22,362] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115b1b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 914>
2022-11-23T02:04:39.8212210Z [2022-11-23 02:00:22,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8212515Z [2022-11-23 02:00:22,362] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.8212875Z [2022-11-23 02:00:22,364] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.8213260Z [2022-11-23 02:00:22,370] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.8213531Z [2022-11-23 02:00:22,371] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8213726Z  __compiled_fn_328 <eval_with_key>.2442 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8213860Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.8214240Z call_function, tensor, <built-in method tensor of type object at 0x7fa5855aec60>, ([1],), {'device': device(type='cpu')}
2022-11-23T02:04:39.8214494Z call_function, add, <built-in function add>, (tensor, ex_0_), {}
2022-11-23T02:04:39.8214853Z call_function, tensor_1, <built-in method tensor of type object at 0x7fa5855aec60>, (5,), {'device': device(type='cpu')}
2022-11-23T02:04:39.8214995Z output, output, output, ((add, tensor_1),), {}
2022-11-23T02:04:39.8215015Z 
2022-11-23T02:04:39.8215457Z [2022-11-23 02:00:22,371] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8215601Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.8215739Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8215871Z               4 BUILD_MAP                0
2022-11-23T02:04:39.8216017Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.8216711Z               8 DICT_MERGE               1
2022-11-23T02:04:39.8216923Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.8217082Z              12 RETURN_VALUE
2022-11-23T02:04:39.8217107Z 
2022-11-23T02:04:39.8217260Z  
2022-11-23T02:04:39.8218052Z [2022-11-23 02:00:22,371] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8218265Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_328)
2022-11-23T02:04:39.8218405Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8218540Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8218664Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.8218772Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.8218933Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.8219091Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8219228Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8219346Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.8219497Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8219626Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8219720Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.8219851Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.8220116Z              26 RETURN_VALUE
2022-11-23T02:04:39.8220140Z 
2022-11-23T02:04:39.8220240Z  
2022-11-23T02:04:39.8220519Z [2022-11-23 02:00:22,373] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8220634Z  - 
2022-11-23T02:04:39.8220811Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.8220910Z             {
2022-11-23T02:04:39.8221092Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.8221357Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.8221535Z                 'obj_weakref': None
2022-11-23T02:04:39.8221847Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.8221947Z             }
2022-11-23T02:04:39.8222047Z             
2022-11-23T02:04:39.8222163Z  - 
2022-11-23T02:04:39.8222323Z             local 'ex[0]' TYPE_MATCH
2022-11-23T02:04:39.8222423Z             {
2022-11-23T02:04:39.8222622Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T02:04:39.8222862Z                 'code': ['___check_type_id(ex[0], 93849142100368)'],
2022-11-23T02:04:39.8223149Z                 'obj_weakref': <weakref at 0x7fa531eb3600; to 'Tensor' at 0x7fa550347330>
2022-11-23T02:04:39.8223564Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8223673Z             }
2022-11-23T02:04:39.8223750Z             
2022-11-23T02:04:39.8223865Z  - 
2022-11-23T02:04:39.8224045Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.8224148Z             {
2022-11-23T02:04:39.8224357Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8224518Z                 'code': None,
2022-11-23T02:04:39.8224807Z                 'obj_weakref': <weakref at 0x7fa531eb3600; to 'Tensor' at 0x7fa550347330>
2022-11-23T02:04:39.8225126Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8225232Z             }
2022-11-23T02:04:39.8225407Z             
2022-11-23T02:04:39.8225575Z  - 
2022-11-23T02:04:39.8225763Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.8225864Z             {
2022-11-23T02:04:39.8226056Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.8226273Z                 'code': ['___check_obj_id(model, 140347992597568)'],
2022-11-23T02:04:39.8226445Z                 'obj_weakref': None
2022-11-23T02:04:39.8226763Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.8226865Z             }
2022-11-23T02:04:39.8226966Z             
2022-11-23T02:04:39.8227081Z  - 
2022-11-23T02:04:39.8227258Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.8227336Z             {
2022-11-23T02:04:39.8227527Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.8227828Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.8228004Z                 'obj_weakref': None
2022-11-23T02:04:39.8228308Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.8228411Z             }
2022-11-23T02:04:39.8228511Z             
2022-11-23T02:04:39.8228602Z  - 
2022-11-23T02:04:39.8228793Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.8228895Z             {
2022-11-23T02:04:39.8229068Z                 'guard_types': None,
2022-11-23T02:04:39.8229220Z                 'code': None,
2022-11-23T02:04:39.8229390Z                 'obj_weakref': None
2022-11-23T02:04:39.8229565Z                 'guarded_class': None
2022-11-23T02:04:39.8229643Z             }
2022-11-23T02:04:39.8229749Z             
2022-11-23T02:04:39.8230105Z [2022-11-23 02:00:22,384] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 320
2022-11-23T02:04:39.8230596Z [2022-11-23 02:00:24,950] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zx/czxrau7hxxw7x3wjg3huecchs5onbtoud5rcdwmdbxj2pkwfea44.py
2022-11-23T02:04:39.8231030Z [2022-11-23 02:00:24,950] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 320
2022-11-23T02:04:39.8231051Z 
2022-11-23T02:04:39.8231200Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8231313Z import torch
2022-11-23T02:04:39.8231398Z import random
2022-11-23T02:04:39.8231571Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8231746Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8231766Z 
2022-11-23T02:04:39.8231885Z aten = torch.ops.aten
2022-11-23T02:04:39.8232079Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8232219Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8232238Z 
2022-11-23T02:04:39.8232257Z 
2022-11-23T02:04:39.8232451Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.8232730Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.8232913Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.8233039Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.8233179Z                        long* __restrict__ out_ptr1)
2022-11-23T02:04:39.8233271Z {
2022-11-23T02:04:39.8233477Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.8233584Z     {
2022-11-23T02:04:39.8233706Z         #pragma omp for 
2022-11-23T02:04:39.8233809Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:39.8233914Z         {
2022-11-23T02:04:39.8234014Z             {
2022-11-23T02:04:39.8234113Z                 {
2022-11-23T02:04:39.8234250Z                     auto tmp2 = in_ptr0[i0];
2022-11-23T02:04:39.8234399Z                     auto tmp0 = static_cast<long>(1);
2022-11-23T02:04:39.8234553Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:39.8234667Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:39.8234793Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:39.8234897Z                 }
2022-11-23T02:04:39.8234998Z             }
2022-11-23T02:04:39.8235093Z         }
2022-11-23T02:04:39.8235211Z         #pragma omp single
2022-11-23T02:04:39.8235308Z         {
2022-11-23T02:04:39.8235385Z             {
2022-11-23T02:04:39.8235485Z                 {
2022-11-23T02:04:39.8235636Z                     auto tmp0 = static_cast<long>(5);
2022-11-23T02:04:39.8235755Z                     out_ptr1[0] = tmp0;
2022-11-23T02:04:39.8235850Z                 }
2022-11-23T02:04:39.8235948Z             }
2022-11-23T02:04:39.8236041Z         }
2022-11-23T02:04:39.8236117Z     }
2022-11-23T02:04:39.8236208Z }
2022-11-23T02:04:39.8236334Z ''')
2022-11-23T02:04:39.8236353Z 
2022-11-23T02:04:39.8236372Z 
2022-11-23T02:04:39.8236509Z async_compile.wait(globals())
2022-11-23T02:04:39.8236620Z del async_compile
2022-11-23T02:04:39.8236639Z 
2022-11-23T02:04:39.8236748Z def call(args):
2022-11-23T02:04:39.8236855Z     arg0_1, = args
2022-11-23T02:04:39.8236948Z     args.clear()
2022-11-23T02:04:39.8237219Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8237469Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.8237697Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.8237798Z     del arg0_1
2022-11-23T02:04:39.8237914Z     return (buf0, buf1, )
2022-11-23T02:04:39.8237934Z 
2022-11-23T02:04:39.8237953Z 
2022-11-23T02:04:39.8238068Z if __name__ == "__main__":
2022-11-23T02:04:39.8238230Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8238385Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8238653Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8238810Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.8238829Z 
2022-11-23T02:04:39.8238930Z ok (2.605s)
2022-11-23T02:04:39.8239341Z   test_tensor2_cpu (__main__.CpuTests) ... [2022-11-23 02:00:24,956] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8239859Z [2022-11-23 02:00:24,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8240158Z [2022-11-23 02:00:24,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8240502Z [2022-11-23 02:00:24,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8240858Z [2022-11-23 02:00:24,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8241290Z [2022-11-23 02:00:24,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8241753Z [2022-11-23 02:00:24,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8242191Z [2022-11-23 02:00:24,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8242735Z [2022-11-23 02:00:24,958] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115b310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 922> 
2022-11-23T02:04:39.8242884Z  923           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8243016Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T02:04:39.8243155Z               4 LOAD_GLOBAL              2 (list)
2022-11-23T02:04:39.8243289Z               6 LOAD_GLOBAL              3 (range)
2022-11-23T02:04:39.8243401Z               8 LOAD_CONST               1 (2)
2022-11-23T02:04:39.8243536Z              10 LOAD_CONST               2 (40)
2022-11-23T02:04:39.8243667Z              12 LOAD_CONST               1 (2)
2022-11-23T02:04:39.8243803Z              14 CALL_FUNCTION            3
2022-11-23T02:04:39.8243930Z              16 CALL_FUNCTION            1
2022-11-23T02:04:39.8244060Z              18 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8244196Z              20 LOAD_ATTR                4 (device)
2022-11-23T02:04:39.8244410Z              22 LOAD_CONST               3 (('device',))
2022-11-23T02:04:39.8244525Z              24 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.8244654Z              26 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8244760Z              28 BINARY_ADD
2022-11-23T02:04:39.8244871Z              30 RETURN_VALUE
2022-11-23T02:04:39.8244970Z  
2022-11-23T02:04:39.8244989Z 
2022-11-23T02:04:39.8245415Z [2022-11-23 02:00:24,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:923
2022-11-23T02:04:39.8245714Z [2022-11-23 02:00:24,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8246191Z [2022-11-23 02:00:24,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8246631Z [2022-11-23 02:00:24,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL list [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.8247123Z [2022-11-23 02:00:24,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), BuiltinVariable(list)]
2022-11-23T02:04:39.8247652Z [2022-11-23 02:00:24,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), BuiltinVariable(list), BuiltinVariable(range)]
2022-11-23T02:04:39.8248237Z [2022-11-23 02:00:24,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T02:04:39.8248932Z [2022-11-23 02:00:24,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.8249607Z [2022-11-23 02:00:24,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.8250125Z [2022-11-23 02:00:24,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), BuiltinVariable(list), RangeVariable()]
2022-11-23T02:04:39.8250581Z [2022-11-23 02:00:24,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable()]
2022-11-23T02:04:39.8251149Z [2022-11-23 02:00:24,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.8251675Z [2022-11-23 02:00:24,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T02:04:39.8252239Z [2022-11-23 02:00:24,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:39.8252564Z [2022-11-23 02:00:24,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T02:04:39.8252930Z [2022-11-23 02:00:24,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8253268Z [2022-11-23 02:00:24,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.8253758Z [2022-11-23 02:00:24,966] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115b310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 922>
2022-11-23T02:04:39.8254094Z [2022-11-23 02:00:24,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.8254417Z [2022-11-23 02:00:24,966] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.8254762Z [2022-11-23 02:00:24,967] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.8255097Z [2022-11-23 02:00:24,973] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.8255364Z [2022-11-23 02:00:24,973] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8255563Z  __compiled_fn_329 <eval_with_key>.2448 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8255697Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.8256771Z call_function, tensor, <built-in method tensor of type object at 0x7fa5855aec60>, ([2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38],), {'device': device(type='cpu')}
2022-11-23T02:04:39.8257191Z call_function, add, <built-in function add>, (tensor, ex_0_), {}
2022-11-23T02:04:39.8257424Z output, output, output, ((add,),), {}
2022-11-23T02:04:39.8257459Z 
2022-11-23T02:04:39.8258159Z [2022-11-23 02:00:24,974] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8258303Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.8258436Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8258568Z               4 BUILD_MAP                0
2022-11-23T02:04:39.8258909Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.8259037Z               8 DICT_MERGE               1
2022-11-23T02:04:39.8259148Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.8259269Z              12 RETURN_VALUE
2022-11-23T02:04:39.8259290Z 
2022-11-23T02:04:39.8259384Z  
2022-11-23T02:04:39.8259826Z [2022-11-23 02:00:24,974] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8259980Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_329)
2022-11-23T02:04:39.8260114Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8260246Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8260360Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.8260468Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.8260600Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.8260719Z              12 RETURN_VALUE
2022-11-23T02:04:39.8260739Z 
2022-11-23T02:04:39.8260830Z  
2022-11-23T02:04:39.8261086Z [2022-11-23 02:00:24,975] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8261197Z  - 
2022-11-23T02:04:39.8261452Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.8261539Z             {
2022-11-23T02:04:39.8261746Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.8262003Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.8262173Z                 'obj_weakref': None
2022-11-23T02:04:39.8262479Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.8262581Z             }
2022-11-23T02:04:39.8262680Z             
2022-11-23T02:04:39.8262766Z  - 
2022-11-23T02:04:39.8262938Z             local 'ex[0]' TYPE_MATCH
2022-11-23T02:04:39.8263037Z             {
2022-11-23T02:04:39.8263233Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T02:04:39.8263475Z                 'code': ['___check_type_id(ex[0], 93849142100368)'],
2022-11-23T02:04:39.8263763Z                 'obj_weakref': <weakref at 0x7fa53c3d4590; to 'Tensor' at 0x7fa51c30d710>
2022-11-23T02:04:39.8264108Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8264187Z             }
2022-11-23T02:04:39.8264283Z             
2022-11-23T02:04:39.8264393Z  - 
2022-11-23T02:04:39.8264570Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.8264668Z             {
2022-11-23T02:04:39.8264867Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8265020Z                 'code': None,
2022-11-23T02:04:39.8265291Z                 'obj_weakref': <weakref at 0x7fa53c3d4590; to 'Tensor' at 0x7fa51c30d710>
2022-11-23T02:04:39.8265632Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8265733Z             }
2022-11-23T02:04:39.8265828Z             
2022-11-23T02:04:39.8265931Z  - 
2022-11-23T02:04:39.8266113Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.8266208Z             {
2022-11-23T02:04:39.8266376Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.8266610Z                 'code': ['___check_obj_id(model, 140347992597568)'],
2022-11-23T02:04:39.8266778Z                 'obj_weakref': None
2022-11-23T02:04:39.8267081Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.8267178Z             }
2022-11-23T02:04:39.8267274Z             
2022-11-23T02:04:39.8267379Z  - 
2022-11-23T02:04:39.8267532Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.8267628Z             {
2022-11-23T02:04:39.8267819Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.8268111Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.8268346Z                 'obj_weakref': None
2022-11-23T02:04:39.8268647Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.8268745Z             }
2022-11-23T02:04:39.8268824Z             
2022-11-23T02:04:39.8268930Z  - 
2022-11-23T02:04:39.8269114Z             global 'list' BUILTIN_MATCH
2022-11-23T02:04:39.8269210Z             {
2022-11-23T02:04:39.8269381Z                 'guard_types': None,
2022-11-23T02:04:39.8269539Z                 'code': None,
2022-11-23T02:04:39.8269705Z                 'obj_weakref': None
2022-11-23T02:04:39.8269856Z                 'guarded_class': None
2022-11-23T02:04:39.8269954Z             }
2022-11-23T02:04:39.8270049Z             
2022-11-23T02:04:39.8270155Z  - 
2022-11-23T02:04:39.8270335Z             global 'range' BUILTIN_MATCH
2022-11-23T02:04:39.8270431Z             {
2022-11-23T02:04:39.8270580Z                 'guard_types': None,
2022-11-23T02:04:39.8270734Z                 'code': None,
2022-11-23T02:04:39.8270904Z                 'obj_weakref': None
2022-11-23T02:04:39.8271074Z                 'guarded_class': None
2022-11-23T02:04:39.8271171Z             }
2022-11-23T02:04:39.8271267Z             
2022-11-23T02:04:39.8271370Z  - 
2022-11-23T02:04:39.8271588Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.8271692Z             {
2022-11-23T02:04:39.8271863Z                 'guard_types': None,
2022-11-23T02:04:39.8272015Z                 'code': None,
2022-11-23T02:04:39.8272179Z                 'obj_weakref': None
2022-11-23T02:04:39.8272350Z                 'guarded_class': None
2022-11-23T02:04:39.8272446Z             }
2022-11-23T02:04:39.8272523Z             
2022-11-23T02:04:39.8272876Z [2022-11-23 02:00:24,985] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 321
2022-11-23T02:04:39.8273372Z [2022-11-23 02:00:27,605] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h5/ch5pstdmrgptnag5iemgg6bzn7db4suutroifnbzkpzrsfta3psx.py
2022-11-23T02:04:39.8273738Z [2022-11-23 02:00:27,606] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 321
2022-11-23T02:04:39.8273759Z 
2022-11-23T02:04:39.8273896Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8274001Z import torch
2022-11-23T02:04:39.8274111Z import random
2022-11-23T02:04:39.8274275Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8274427Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8274446Z 
2022-11-23T02:04:39.8274563Z aten = torch.ops.aten
2022-11-23T02:04:39.8274750Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8274885Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8275104Z constant0 = None  # 4ebd4ff1c68a89413a036eaaf84436373c4ec2939ac1d7f84e9908772a109281
2022-11-23T02:04:39.8275124Z 
2022-11-23T02:04:39.8275143Z 
2022-11-23T02:04:39.8275335Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.8275616Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.8275790Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:39.8275922Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.8276073Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.8276168Z {
2022-11-23T02:04:39.8276310Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.8276403Z     {
2022-11-23T02:04:39.8276520Z         #pragma omp for 
2022-11-23T02:04:39.8276640Z         for(long i0=0; i0<19; i0+=1)
2022-11-23T02:04:39.8276717Z         {
2022-11-23T02:04:39.8276813Z             {
2022-11-23T02:04:39.8276914Z                 {
2022-11-23T02:04:39.8277051Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.8277187Z                     auto tmp2 = in_ptr1[0];
2022-11-23T02:04:39.8277340Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:39.8277474Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:39.8277657Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:39.8277757Z                 }
2022-11-23T02:04:39.8277856Z             }
2022-11-23T02:04:39.8277952Z         }
2022-11-23T02:04:39.8278047Z     }
2022-11-23T02:04:39.8278142Z }
2022-11-23T02:04:39.8278245Z ''')
2022-11-23T02:04:39.8278290Z 
2022-11-23T02:04:39.8278309Z 
2022-11-23T02:04:39.8278422Z async_compile.wait(globals())
2022-11-23T02:04:39.8278532Z del async_compile
2022-11-23T02:04:39.8278552Z 
2022-11-23T02:04:39.8278658Z def call(args):
2022-11-23T02:04:39.8278765Z     arg0_1, = args
2022-11-23T02:04:39.8278872Z     args.clear()
2022-11-23T02:04:39.8279144Z     buf0 = empty_strided((19, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8279384Z     kernel_cpp_0(c_void_p(constant0.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.8279469Z     del arg0_1
2022-11-23T02:04:39.8279576Z     return (buf0, )
2022-11-23T02:04:39.8279597Z 
2022-11-23T02:04:39.8279615Z 
2022-11-23T02:04:39.8279733Z if __name__ == "__main__":
2022-11-23T02:04:39.8279894Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8280069Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8280395Z     constant0 = rand_strided((19, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.8280669Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8280828Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.8280849Z 
2022-11-23T02:04:39.8280930Z ok (2.655s)
2022-11-23T02:04:39.8281343Z   test_tensor3_cpu (__main__.CpuTests) ... [2022-11-23 02:00:27,612] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8281774Z [2022-11-23 02:00:27,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8282074Z [2022-11-23 02:00:27,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8282421Z [2022-11-23 02:00:27,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8282799Z [2022-11-23 02:00:27,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8283228Z [2022-11-23 02:00:27,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8283692Z [2022-11-23 02:00:27,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8284122Z [2022-11-23 02:00:27,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8284619Z [2022-11-23 02:00:27,614] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115b470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 928> 
2022-11-23T02:04:39.8284745Z  930           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8284881Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T02:04:39.8285009Z               4 BUILD_LIST               0
2022-11-23T02:04:39.8285144Z               6 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8285281Z               8 LOAD_ATTR                2 (device)
2022-11-23T02:04:39.8285490Z              10 LOAD_CONST               1 (('device',))
2022-11-23T02:04:39.8285621Z              12 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.8285640Z 
2022-11-23T02:04:39.8285776Z 931          14 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8285888Z              16 LOAD_ATTR                1 (tensor)
2022-11-23T02:04:39.8286020Z              18 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8286151Z              20 LOAD_CONST               3 (2)
2022-11-23T02:04:39.8286274Z              22 BUILD_LIST               2
2022-11-23T02:04:39.8286515Z              24 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8286648Z              26 LOAD_ATTR                2 (device)
2022-11-23T02:04:39.8286932Z              28 LOAD_CONST               1 (('device',))
2022-11-23T02:04:39.8287050Z              30 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.8287182Z              32 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8287295Z              34 BINARY_ADD
2022-11-23T02:04:39.8287314Z 
2022-11-23T02:04:39.8287448Z 932          36 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8287582Z              38 LOAD_ATTR                1 (tensor)
2022-11-23T02:04:39.8287708Z              40 BUILD_LIST               0
2022-11-23T02:04:39.8287844Z              42 LOAD_CONST               4 ((1, 2, 3))
2022-11-23T02:04:39.8287952Z              44 LIST_EXTEND              1
2022-11-23T02:04:39.8288089Z              46 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8288215Z              48 LOAD_ATTR                2 (device)
2022-11-23T02:04:39.8288430Z              50 LOAD_CONST               1 (('device',))
2022-11-23T02:04:39.8288561Z              52 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.8288686Z              54 LOAD_CONST               3 (2)
2022-11-23T02:04:39.8288794Z              56 BINARY_ADD
2022-11-23T02:04:39.8288867Z 
2022-11-23T02:04:39.8289005Z 933          58 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8289116Z              60 LOAD_ATTR                1 (tensor)
2022-11-23T02:04:39.8289239Z              62 BUILD_LIST               0
2022-11-23T02:04:39.8289377Z              64 LOAD_CONST               5 ((1, 2, 3, 4))
2022-11-23T02:04:39.8289503Z              66 LIST_EXTEND              1
2022-11-23T02:04:39.8289630Z              68 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8289760Z              70 LOAD_ATTR                2 (device)
2022-11-23T02:04:39.8289967Z              72 LOAD_CONST               1 (('device',))
2022-11-23T02:04:39.8290078Z              74 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.8290211Z              76 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8290320Z              78 BINARY_ADD
2022-11-23T02:04:39.8290340Z 
2022-11-23T02:04:39.8290465Z 929          80 BUILD_TUPLE              4
2022-11-23T02:04:39.8290580Z              82 RETURN_VALUE
2022-11-23T02:04:39.8290675Z  
2022-11-23T02:04:39.8290695Z 
2022-11-23T02:04:39.8291116Z [2022-11-23 02:00:27,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:930
2022-11-23T02:04:39.8291416Z [2022-11-23 02:00:27,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8291891Z [2022-11-23 02:00:27,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8292325Z [2022-11-23 02:00:27,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.8292789Z [2022-11-23 02:00:27,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable()]
2022-11-23T02:04:39.8293301Z [2022-11-23 02:00:27,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.8293818Z [2022-11-23 02:00:27,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T02:04:39.8294386Z [2022-11-23 02:00:27,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:39.8294800Z [2022-11-23 02:00:27,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:931
2022-11-23T02:04:39.8295192Z [2022-11-23 02:00:27,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.8295735Z [2022-11-23 02:00:27,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8296801Z [2022-11-23 02:00:27,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.8297748Z [2022-11-23 02:00:27,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int)]
2022-11-23T02:04:39.8298478Z [2022-11-23 02:00:27,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.8299110Z [2022-11-23 02:00:27,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable()]
2022-11-23T02:04:39.8299682Z [2022-11-23 02:00:27,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.8300243Z [2022-11-23 02:00:27,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T02:04:39.8300831Z [2022-11-23 02:00:27,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:39.8301201Z [2022-11-23 02:00:27,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8301615Z [2022-11-23 02:00:27,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8302030Z [2022-11-23 02:00:27,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:932
2022-11-23T02:04:39.8302396Z [2022-11-23 02:00:27,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8302956Z [2022-11-23 02:00:27,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8303464Z [2022-11-23 02:00:27,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.8304012Z [2022-11-23 02:00:27,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable()]
2022-11-23T02:04:39.8304646Z [2022-11-23 02:00:27,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:39.8305173Z [2022-11-23 02:00:27,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable()]
2022-11-23T02:04:39.8305831Z [2022-11-23 02:00:27,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.8306424Z [2022-11-23 02:00:27,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T02:04:39.8307078Z [2022-11-23 02:00:27,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:39.8307472Z [2022-11-23 02:00:27,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8307917Z [2022-11-23 02:00:27,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8308400Z [2022-11-23 02:00:27,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:933
2022-11-23T02:04:39.8308813Z [2022-11-23 02:00:27,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8309416Z [2022-11-23 02:00:27,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8309964Z [2022-11-23 02:00:27,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.8310549Z [2022-11-23 02:00:27,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable()]
2022-11-23T02:04:39.8311180Z [2022-11-23 02:00:27,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:39.8311756Z [2022-11-23 02:00:27,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable()]
2022-11-23T02:04:39.8312373Z [2022-11-23 02:00:27,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TensorVariable()]
2022-11-23T02:04:39.8313016Z [2022-11-23 02:00:27,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T02:04:39.8313705Z [2022-11-23 02:00:27,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7fa5855aec60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:39.8314132Z [2022-11-23 02:00:27,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8314610Z [2022-11-23 02:00:27,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8315103Z [2022-11-23 02:00:27,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:929
2022-11-23T02:04:39.8315545Z [2022-11-23 02:00:27,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8315885Z [2022-11-23 02:00:27,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8316387Z [2022-11-23 02:00:27,635] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115b470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 928>
2022-11-23T02:04:39.8316701Z [2022-11-23 02:00:27,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8317021Z [2022-11-23 02:00:27,635] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.8317373Z [2022-11-23 02:00:27,637] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.8317720Z [2022-11-23 02:00:27,647] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.8318044Z [2022-11-23 02:00:27,647] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8318242Z  __compiled_fn_330 <eval_with_key>.2454 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8318379Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.8318750Z call_function, tensor, <built-in method tensor of type object at 0x7fa5855aec60>, ([],), {'device': device(type='cpu')}
2022-11-23T02:04:39.8319099Z call_function, tensor_1, <built-in method tensor of type object at 0x7fa5855aec60>, ([1, 2],), {'device': device(type='cpu')}
2022-11-23T02:04:39.8319350Z call_function, add, <built-in function add>, (tensor_1, 1), {}
2022-11-23T02:04:39.8319731Z call_function, tensor_2, <built-in method tensor of type object at 0x7fa5855aec60>, ([1, 2, 3],), {'device': device(type='cpu')}
2022-11-23T02:04:39.8319984Z call_function, add_1, <built-in function add>, (tensor_2, 2), {}
2022-11-23T02:04:39.8320361Z call_function, tensor_3, <built-in method tensor of type object at 0x7fa5855aec60>, ([1, 2, 3, 4],), {'device': device(type='cpu')}
2022-11-23T02:04:39.8320624Z call_function, add_2, <built-in function add>, (tensor_3, ex_0_), {}
2022-11-23T02:04:39.8320791Z output, output, output, ((tensor, add, add_1, add_2),), {}
2022-11-23T02:04:39.8320817Z 
2022-11-23T02:04:39.8321256Z [2022-11-23 02:00:27,648] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8321394Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.8321509Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8321641Z               4 BUILD_MAP                0
2022-11-23T02:04:39.8321782Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.8321916Z               8 DICT_MERGE               1
2022-11-23T02:04:39.8322044Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.8322156Z              12 RETURN_VALUE
2022-11-23T02:04:39.8322176Z 
2022-11-23T02:04:39.8322269Z  
2022-11-23T02:04:39.8322704Z [2022-11-23 02:00:27,648] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8322843Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_330)
2022-11-23T02:04:39.8322974Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8323107Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8323221Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.8323349Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.8323497Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.8323644Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8323857Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8323971Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.8324120Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8324253Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8324368Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.8324513Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8324641Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.8324735Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.8324878Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8325004Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:39.8325115Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.8325247Z              36 BUILD_TUPLE              4
2022-11-23T02:04:39.8325363Z              38 RETURN_VALUE
2022-11-23T02:04:39.8325383Z 
2022-11-23T02:04:39.8325476Z  
2022-11-23T02:04:39.8325722Z [2022-11-23 02:00:27,650] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8325831Z  - 
2022-11-23T02:04:39.8325998Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.8326098Z             {
2022-11-23T02:04:39.8326295Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.8326616Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.8326793Z                 'obj_weakref': None
2022-11-23T02:04:39.8327104Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.8327185Z             }
2022-11-23T02:04:39.8327287Z             
2022-11-23T02:04:39.8327393Z  - 
2022-11-23T02:04:39.8327568Z             local 'ex[0]' TYPE_MATCH
2022-11-23T02:04:39.8327666Z             {
2022-11-23T02:04:39.8327861Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T02:04:39.8328076Z                 'code': ['___check_type_id(ex[0], 93849142100368)'],
2022-11-23T02:04:39.8328378Z                 'obj_weakref': <weakref at 0x7fa531fc13f0; to 'Tensor' at 0x7fa531eb1d50>
2022-11-23T02:04:39.8328715Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8328812Z             }
2022-11-23T02:04:39.8328912Z             
2022-11-23T02:04:39.8329019Z  - 
2022-11-23T02:04:39.8329198Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.8329276Z             {
2022-11-23T02:04:39.8329478Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8329632Z                 'code': None,
2022-11-23T02:04:39.8329919Z                 'obj_weakref': <weakref at 0x7fa531fc13f0; to 'Tensor' at 0x7fa531eb1d50>
2022-11-23T02:04:39.8330260Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8330359Z             }
2022-11-23T02:04:39.8330456Z             
2022-11-23T02:04:39.8330565Z  - 
2022-11-23T02:04:39.8330729Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.8330826Z             {
2022-11-23T02:04:39.8331014Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.8331250Z                 'code': ['___check_obj_id(model, 140347992597568)'],
2022-11-23T02:04:39.8331424Z                 'obj_weakref': None
2022-11-23T02:04:39.8331735Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.8331834Z             }
2022-11-23T02:04:39.8331912Z             
2022-11-23T02:04:39.8332017Z  - 
2022-11-23T02:04:39.8332191Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.8332288Z             {
2022-11-23T02:04:39.8332479Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.8332775Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.8332943Z                 'obj_weakref': None
2022-11-23T02:04:39.8333227Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.8333403Z             }
2022-11-23T02:04:39.8333499Z             
2022-11-23T02:04:39.8333607Z  - 
2022-11-23T02:04:39.8333796Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.8333893Z             {
2022-11-23T02:04:39.8334051Z                 'guard_types': None,
2022-11-23T02:04:39.8334206Z                 'code': None,
2022-11-23T02:04:39.8334369Z                 'obj_weakref': None
2022-11-23T02:04:39.8334543Z                 'guarded_class': None
2022-11-23T02:04:39.8334636Z             }
2022-11-23T02:04:39.8334732Z             
2022-11-23T02:04:39.8335088Z [2022-11-23 02:00:27,668] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 322
2022-11-23T02:04:39.8335583Z [2022-11-23 02:00:30,327] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/om/comagsbwfv2rrx6s2qhntf6o6vhkobn5bz5rfcg52dbcaic4l63r.py
2022-11-23T02:04:39.8335922Z [2022-11-23 02:00:30,327] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 322
2022-11-23T02:04:39.8335947Z 
2022-11-23T02:04:39.8336653Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8336837Z import torch
2022-11-23T02:04:39.8337007Z import random
2022-11-23T02:04:39.8337493Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8337813Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8337846Z 
2022-11-23T02:04:39.8338031Z aten = torch.ops.aten
2022-11-23T02:04:39.8338246Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8338361Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8338382Z 
2022-11-23T02:04:39.8338401Z 
2022-11-23T02:04:39.8338618Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.8338897Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.8339066Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.8339208Z                        long* __restrict__ out_ptr0,
2022-11-23T02:04:39.8339355Z                        long* __restrict__ out_ptr1,
2022-11-23T02:04:39.8339496Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.8339574Z {
2022-11-23T02:04:39.8339690Z     #pragma GCC ivdep
2022-11-23T02:04:39.8339813Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.8339907Z     {
2022-11-23T02:04:39.8340000Z         {
2022-11-23T02:04:39.8340096Z             {
2022-11-23T02:04:39.8340240Z                 auto tmp0 = static_cast<long>(i0);
2022-11-23T02:04:39.8340363Z                 auto tmp1 = static_cast<long>(1);
2022-11-23T02:04:39.8340492Z                 auto tmp2 = tmp0 < tmp1;
2022-11-23T02:04:39.8340633Z                 auto tmp3 = static_cast<long>(2);
2022-11-23T02:04:39.8340772Z                 auto tmp4 = tmp2 ? tmp1 : tmp3;
2022-11-23T02:04:39.8340901Z                 auto tmp5 = tmp4 + tmp1;
2022-11-23T02:04:39.8341021Z                 out_ptr0[i0] = tmp5;
2022-11-23T02:04:39.8341118Z             }
2022-11-23T02:04:39.8341199Z         }
2022-11-23T02:04:39.8341291Z     }
2022-11-23T02:04:39.8341404Z     #pragma GCC ivdep
2022-11-23T02:04:39.8341519Z     for(long i0=0; i0<3; i0+=1)
2022-11-23T02:04:39.8341611Z     {
2022-11-23T02:04:39.8341706Z         {
2022-11-23T02:04:39.8341801Z             {
2022-11-23T02:04:39.8341931Z                 auto tmp0 = static_cast<long>(i0);
2022-11-23T02:04:39.8342073Z                 auto tmp1 = static_cast<long>(1);
2022-11-23T02:04:39.8342197Z                 auto tmp2 = tmp0 < tmp1;
2022-11-23T02:04:39.8342339Z                 auto tmp3 = static_cast<long>(2);
2022-11-23T02:04:39.8342464Z                 auto tmp4 = tmp0 < tmp3;
2022-11-23T02:04:39.8342604Z                 auto tmp5 = static_cast<long>(3);
2022-11-23T02:04:39.8342741Z                 auto tmp6 = tmp4 ? tmp3 : tmp5;
2022-11-23T02:04:39.8342861Z                 auto tmp7 = tmp2 ? tmp1 : tmp6;
2022-11-23T02:04:39.8342985Z                 auto tmp8 = tmp7 + tmp3;
2022-11-23T02:04:39.8343107Z                 out_ptr1[i0] = tmp8;
2022-11-23T02:04:39.8343323Z             }
2022-11-23T02:04:39.8343418Z         }
2022-11-23T02:04:39.8343512Z     }
2022-11-23T02:04:39.8343608Z     #pragma GCC ivdep
2022-11-23T02:04:39.8343728Z     for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:39.8343820Z     {
2022-11-23T02:04:39.8343917Z         {
2022-11-23T02:04:39.8344013Z             {
2022-11-23T02:04:39.8344142Z                 auto tmp12 = in_ptr0[i0];
2022-11-23T02:04:39.8344285Z                 auto tmp0 = static_cast<long>(i0);
2022-11-23T02:04:39.8344406Z                 auto tmp1 = static_cast<long>(2);
2022-11-23T02:04:39.8344531Z                 auto tmp2 = tmp0 < tmp1;
2022-11-23T02:04:39.8344669Z                 auto tmp3 = static_cast<long>(1);
2022-11-23T02:04:39.8344790Z                 auto tmp4 = tmp0 < tmp3;
2022-11-23T02:04:39.8344925Z                 auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T02:04:39.8345065Z                 auto tmp6 = static_cast<long>(3);
2022-11-23T02:04:39.8345191Z                 auto tmp7 = tmp0 < tmp6;
2022-11-23T02:04:39.8345316Z                 auto tmp8 = static_cast<long>(4);
2022-11-23T02:04:39.8345453Z                 auto tmp9 = tmp7 ? tmp6 : tmp8;
2022-11-23T02:04:39.8345592Z                 auto tmp10 = tmp2 ? tmp5 : tmp9;
2022-11-23T02:04:39.8345798Z                 auto tmp11 = static_cast<float>(tmp10);
2022-11-23T02:04:39.8345941Z                 auto tmp13 = tmp11 + tmp12;
2022-11-23T02:04:39.8346061Z                 out_ptr2[i0] = tmp13;
2022-11-23T02:04:39.8346157Z             }
2022-11-23T02:04:39.8346233Z         }
2022-11-23T02:04:39.8346329Z     }
2022-11-23T02:04:39.8346419Z }
2022-11-23T02:04:39.8346544Z ''')
2022-11-23T02:04:39.8346566Z 
2022-11-23T02:04:39.8346585Z 
2022-11-23T02:04:39.8346715Z async_compile.wait(globals())
2022-11-23T02:04:39.8346824Z del async_compile
2022-11-23T02:04:39.8346843Z 
2022-11-23T02:04:39.8346949Z def call(args):
2022-11-23T02:04:39.8347036Z     arg0_1, = args
2022-11-23T02:04:39.8347145Z     args.clear()
2022-11-23T02:04:39.8347421Z     buf0 = empty_strided((0, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8347682Z     buf1 = empty_strided((2, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.8347941Z     buf2 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.8348205Z     buf3 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8348471Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T02:04:39.8348576Z     del arg0_1
2022-11-23T02:04:39.8348685Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T02:04:39.8348704Z 
2022-11-23T02:04:39.8348744Z 
2022-11-23T02:04:39.8348839Z if __name__ == "__main__":
2022-11-23T02:04:39.8348997Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8349173Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8349437Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8349600Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.8349619Z 
2022-11-23T02:04:39.8349720Z ok (2.722s)
2022-11-23T02:04:39.8350162Z   test_tmp_not_defined_issue1_cpu (__main__.CpuTests) ... [2022-11-23 02:00:30,378] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8350590Z [2022-11-23 02:00:30,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8350869Z [2022-11-23 02:00:30,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8351212Z [2022-11-23 02:00:30,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8351583Z [2022-11-23 02:00:30,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8352011Z [2022-11-23 02:00:30,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8352537Z [2022-11-23 02:00:30,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8352973Z [2022-11-23 02:00:30,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8353491Z [2022-11-23 02:00:30,380] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fa640f580e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4382> 
2022-11-23T02:04:39.8353634Z  4390           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8353770Z                2 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.8353887Z                4 LOAD_ATTR                2 (prims)
2022-11-23T02:04:39.8354021Z                6 LOAD_ATTR                3 (var)
2022-11-23T02:04:39.8354164Z                8 LOAD_ATTR                4 (default)
2022-11-23T02:04:39.8354184Z 
2022-11-23T02:04:39.8354355Z 4391          10 LOAD_FAST                3 (convert_element_type_default)
2022-11-23T02:04:39.8354487Z               12 LOAD_CONST               1 (2)
2022-11-23T02:04:39.8354670Z               14 BUILD_LIST               1
2022-11-23T02:04:39.8354814Z               16 LOAD_CONST               2 (0)
2022-11-23T02:04:39.8354833Z 
2022-11-23T02:04:39.8355056Z 4390          18 LOAD_CONST               3 (('correction',))
2022-11-23T02:04:39.8355170Z               20 CALL_FUNCTION_KW         3
2022-11-23T02:04:39.8355315Z               22 STORE_FAST               6 (var_default)
2022-11-23T02:04:39.8355335Z 
2022-11-23T02:04:39.8355472Z 4393          24 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8355605Z               26 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.8355736Z               28 LOAD_ATTR                5 (aten)
2022-11-23T02:04:39.8355871Z               30 LOAD_ATTR                6 (sub)
2022-11-23T02:04:39.8356010Z               32 LOAD_METHOD              7 (Tensor)
2022-11-23T02:04:39.8356154Z               34 LOAD_FAST                2 (add_tensor)
2022-11-23T02:04:39.8356281Z               36 LOAD_FAST                4 (div_default)
2022-11-23T02:04:39.8356413Z               38 CALL_METHOD              2
2022-11-23T02:04:39.8356555Z               40 STORE_FAST               7 (sub_tensor)
2022-11-23T02:04:39.8356574Z 
2022-11-23T02:04:39.8356706Z 4394          42 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8356838Z               44 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.8356969Z               46 LOAD_ATTR                5 (aten)
2022-11-23T02:04:39.8357099Z               48 LOAD_ATTR                8 (mul)
2022-11-23T02:04:39.8357235Z               50 LOAD_METHOD              7 (Tensor)
2022-11-23T02:04:39.8357357Z               52 LOAD_FAST                7 (sub_tensor)
2022-11-23T02:04:39.8357512Z               54 LOAD_FAST                5 (reciprocal_default)
2022-11-23T02:04:39.8357645Z               56 CALL_METHOD              2
2022-11-23T02:04:39.8357790Z               58 STORE_FAST               8 (mul_tensor_1)
2022-11-23T02:04:39.8357810Z 
2022-11-23T02:04:39.8357945Z 4395          60 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8358079Z               62 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.8358209Z               64 LOAD_ATTR                5 (aten)
2022-11-23T02:04:39.8358319Z               66 LOAD_ATTR                8 (mul)
2022-11-23T02:04:39.8358456Z               68 LOAD_METHOD              7 (Tensor)
2022-11-23T02:04:39.8358598Z               70 LOAD_FAST                8 (mul_tensor_1)
2022-11-23T02:04:39.8358737Z               72 LOAD_FAST                0 (primals_3)
2022-11-23T02:04:39.8358869Z               74 CALL_METHOD              2
2022-11-23T02:04:39.8359014Z               76 STORE_FAST               9 (mul_tensor_2)
2022-11-23T02:04:39.8359034Z 
2022-11-23T02:04:39.8359239Z 4396          78 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8359369Z               80 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.8359481Z               82 LOAD_ATTR                5 (aten)
2022-11-23T02:04:39.8359615Z               84 LOAD_ATTR                9 (add)
2022-11-23T02:04:39.8359752Z               86 LOAD_METHOD              7 (Tensor)
2022-11-23T02:04:39.8359897Z               88 LOAD_FAST                9 (mul_tensor_2)
2022-11-23T02:04:39.8360038Z               90 LOAD_FAST                1 (primals_4)
2022-11-23T02:04:39.8360169Z               92 CALL_METHOD              2
2022-11-23T02:04:39.8360314Z               94 STORE_FAST              10 (add_tensor_2)
2022-11-23T02:04:39.8360333Z 
2022-11-23T02:04:39.8360467Z 4398          96 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8360579Z               98 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.8360712Z              100 LOAD_ATTR                2 (prims)
2022-11-23T02:04:39.8360870Z              102 LOAD_ATTR               10 (convert_element_type)
2022-11-23T02:04:39.8361014Z              104 LOAD_METHOD              4 (default)
2022-11-23T02:04:39.8361033Z 
2022-11-23T02:04:39.8361176Z 4399         106 LOAD_FAST               10 (add_tensor_2)
2022-11-23T02:04:39.8361361Z              108 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8361505Z              110 LOAD_ATTR               11 (float32)
2022-11-23T02:04:39.8361524Z 
2022-11-23T02:04:39.8361654Z 4398         112 CALL_METHOD              2
2022-11-23T02:04:39.8361673Z 
2022-11-23T02:04:39.8361831Z 4397         114 STORE_FAST              11 (convert_element_type_default_1)
2022-11-23T02:04:39.8361852Z 
2022-11-23T02:04:39.8361985Z 4403         116 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8362115Z              118 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.8362248Z              120 LOAD_ATTR                2 (prims)
2022-11-23T02:04:39.8362406Z              122 LOAD_ATTR               10 (convert_element_type)
2022-11-23T02:04:39.8362549Z              124 LOAD_METHOD              4 (default)
2022-11-23T02:04:39.8362568Z 
2022-11-23T02:04:39.8362741Z 4404         126 LOAD_FAST               11 (convert_element_type_default_1)
2022-11-23T02:04:39.8362935Z              128 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8363050Z              130 LOAD_ATTR               11 (float32)
2022-11-23T02:04:39.8363069Z 
2022-11-23T02:04:39.8363193Z 4403         132 CALL_METHOD              2
2022-11-23T02:04:39.8363212Z 
2022-11-23T02:04:39.8363383Z 4402         134 STORE_FAST              12 (convert_element_type_default_2)
2022-11-23T02:04:39.8363402Z 
2022-11-23T02:04:39.8363534Z 4407         136 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8363661Z              138 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.8363797Z              140 LOAD_ATTR                2 (prims)
2022-11-23T02:04:39.8363926Z              142 LOAD_ATTR                3 (var)
2022-11-23T02:04:39.8364061Z              144 LOAD_ATTR                4 (default)
2022-11-23T02:04:39.8364083Z 
2022-11-23T02:04:39.8364252Z 4408         146 LOAD_FAST               12 (convert_element_type_default_2)
2022-11-23T02:04:39.8364366Z              148 LOAD_CONST               1 (2)
2022-11-23T02:04:39.8364496Z              150 BUILD_LIST               1
2022-11-23T02:04:39.8364628Z              152 LOAD_CONST               2 (0)
2022-11-23T02:04:39.8364647Z 
2022-11-23T02:04:39.8364889Z 4407         154 LOAD_CONST               3 (('correction',))
2022-11-23T02:04:39.8365024Z              156 CALL_FUNCTION_KW         3
2022-11-23T02:04:39.8365172Z              158 STORE_FAST              13 (var_default_1)
2022-11-23T02:04:39.8365191Z 
2022-11-23T02:04:39.8365325Z 4410         160 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8365455Z              162 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.8365571Z              164 LOAD_ATTR                2 (prims)
2022-11-23T02:04:39.8365721Z              166 LOAD_ATTR               12 (broadcast_in_dim)
2022-11-23T02:04:39.8365925Z              168 LOAD_METHOD              4 (default)
2022-11-23T02:04:39.8365944Z 
2022-11-23T02:04:39.8366086Z 4411         170 LOAD_FAST               13 (var_default_1)
2022-11-23T02:04:39.8366212Z              172 BUILD_LIST               0
2022-11-23T02:04:39.8366354Z              174 LOAD_CONST               4 ((1, 512, 1))
2022-11-23T02:04:39.8366484Z              176 LIST_EXTEND              1
2022-11-23T02:04:39.8366598Z              178 LOAD_CONST               2 (0)
2022-11-23T02:04:39.8366727Z              180 LOAD_CONST               5 (1)
2022-11-23T02:04:39.8366854Z              182 BUILD_LIST               2
2022-11-23T02:04:39.8366872Z 
2022-11-23T02:04:39.8367000Z 4410         184 CALL_METHOD              3
2022-11-23T02:04:39.8367164Z              186 STORE_FAST              14 (broadcast_in_dim_default_2)
2022-11-23T02:04:39.8367183Z 
2022-11-23T02:04:39.8367318Z 4413         188 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8367454Z              190 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.8367585Z              192 LOAD_ATTR                2 (prims)
2022-11-23T02:04:39.8367695Z              194 LOAD_ATTR               13 (sum)
2022-11-23T02:04:39.8367836Z              196 LOAD_METHOD              4 (default)
2022-11-23T02:04:39.8367904Z 
2022-11-23T02:04:39.8368081Z 4414         198 LOAD_FAST               12 (convert_element_type_default_2)
2022-11-23T02:04:39.8368210Z              200 LOAD_CONST               1 (2)
2022-11-23T02:04:39.8368335Z              202 BUILD_LIST               1
2022-11-23T02:04:39.8368354Z 
2022-11-23T02:04:39.8368481Z 4413         204 CALL_METHOD              2
2022-11-23T02:04:39.8368625Z              206 STORE_FAST              15 (sum_default_1)
2022-11-23T02:04:39.8368644Z 
2022-11-23T02:04:39.8368777Z 4416         208 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8368889Z              210 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.8369022Z              212 LOAD_ATTR                5 (aten)
2022-11-23T02:04:39.8369154Z              214 LOAD_ATTR                9 (add)
2022-11-23T02:04:39.8369289Z              216 LOAD_METHOD              7 (Tensor)
2022-11-23T02:04:39.8369452Z              218 LOAD_FAST               14 (broadcast_in_dim_default_2)
2022-11-23T02:04:39.8369660Z              220 LOAD_CONST               6 (1e-05)
2022-11-23T02:04:39.8369788Z              222 CALL_METHOD              2
2022-11-23T02:04:39.8369935Z              224 STORE_FAST              16 (add_tensor_3)
2022-11-23T02:04:39.8369954Z 
2022-11-23T02:04:39.8370078Z 4417         226 LOAD_FAST                6 (var_default)
2022-11-23T02:04:39.8370227Z              228 LOAD_FAST               15 (sum_default_1)
2022-11-23T02:04:39.8370370Z              230 LOAD_FAST               16 (add_tensor_3)
2022-11-23T02:04:39.8370499Z              232 BUILD_TUPLE              3
2022-11-23T02:04:39.8370613Z              234 RETURN_VALUE
2022-11-23T02:04:39.8370706Z  
2022-11-23T02:04:39.8370725Z 
2022-11-23T02:04:39.8371164Z [2022-11-23 02:00:30,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4390
2022-11-23T02:04:39.8371465Z [2022-11-23 02:00:30,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8371935Z [2022-11-23 02:00:30,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8372336Z [2022-11-23 02:00:30,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.8372753Z [2022-11-23 02:00:30,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T02:04:39.8373112Z [2022-11-23 02:00:30,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.var)]
2022-11-23T02:04:39.8373595Z [2022-11-23 02:00:30,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4391
2022-11-23T02:04:39.8374011Z [2022-11-23 02:00:30,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default [TorchVariable(prims.var.default)]
2022-11-23T02:04:39.8374405Z [2022-11-23 02:00:30,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.var.default), TensorVariable()]
2022-11-23T02:04:39.8374847Z [2022-11-23 02:00:30,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.var.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8375269Z [2022-11-23 02:00:30,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.var.default), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.8375691Z [2022-11-23 02:00:30,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4390
2022-11-23T02:04:39.8376808Z [2022-11-23 02:00:30,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('correction',) [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8377971Z [2022-11-23 02:00:30,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T02:04:39.8378419Z [2022-11-23 02:00:30,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST var_default [TensorVariable()]
2022-11-23T02:04:39.8378842Z [2022-11-23 02:00:30,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4393
2022-11-23T02:04:39.8379137Z [2022-11-23 02:00:30,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8379620Z [2022-11-23 02:00:30,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8380021Z [2022-11-23 02:00:30,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.8380434Z [2022-11-23 02:00:30,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.8380782Z [2022-11-23 02:00:30,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.sub)]
2022-11-23T02:04:39.8381148Z [2022-11-23 02:00:30,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor [TorchVariable(aten.sub.Tensor)]
2022-11-23T02:04:39.8381556Z [2022-11-23 02:00:30,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST div_default [TorchVariable(aten.sub.Tensor), TensorVariable()]
2022-11-23T02:04:39.8381987Z [2022-11-23 02:00:30,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.sub.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8382310Z [2022-11-23 02:00:30,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sub_tensor [TensorVariable()]
2022-11-23T02:04:39.8382727Z [2022-11-23 02:00:30,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4394
2022-11-23T02:04:39.8383022Z [2022-11-23 02:00:30,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8383567Z [2022-11-23 02:00:30,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8383960Z [2022-11-23 02:00:30,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.8384361Z [2022-11-23 02:00:30,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.8384843Z [2022-11-23 02:00:30,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)]
2022-11-23T02:04:39.8385211Z [2022-11-23 02:00:30,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sub_tensor [TorchVariable(aten.mul.Tensor)]
2022-11-23T02:04:39.8385631Z [2022-11-23 02:00:30,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST reciprocal_default [TorchVariable(aten.mul.Tensor), TensorVariable()]
2022-11-23T02:04:39.8386063Z [2022-11-23 02:00:30,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8386406Z [2022-11-23 02:00:30,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_1 [TensorVariable()]
2022-11-23T02:04:39.8386809Z [2022-11-23 02:00:30,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4395
2022-11-23T02:04:39.8387160Z [2022-11-23 02:00:30,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8387694Z [2022-11-23 02:00:30,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8388096Z [2022-11-23 02:00:30,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.8388499Z [2022-11-23 02:00:30,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.8388844Z [2022-11-23 02:00:30,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)]
2022-11-23T02:04:39.8389215Z [2022-11-23 02:00:30,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_1 [TorchVariable(aten.mul.Tensor)]
2022-11-23T02:04:39.8389620Z [2022-11-23 02:00:30,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST primals_3 [TorchVariable(aten.mul.Tensor), TensorVariable()]
2022-11-23T02:04:39.8390057Z [2022-11-23 02:00:30,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8390398Z [2022-11-23 02:00:30,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_2 [TensorVariable()]
2022-11-23T02:04:39.8390794Z [2022-11-23 02:00:30,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4396
2022-11-23T02:04:39.8391090Z [2022-11-23 02:00:30,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8391580Z [2022-11-23 02:00:30,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8391975Z [2022-11-23 02:00:30,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.8392382Z [2022-11-23 02:00:30,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.8392724Z [2022-11-23 02:00:30,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.add)]
2022-11-23T02:04:39.8393098Z [2022-11-23 02:00:30,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_2 [TorchVariable(aten.add.Tensor)]
2022-11-23T02:04:39.8393504Z [2022-11-23 02:00:30,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST primals_4 [TorchVariable(aten.add.Tensor), TensorVariable()]
2022-11-23T02:04:39.8393935Z [2022-11-23 02:00:30,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8394343Z [2022-11-23 02:00:30,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST add_tensor_2 [TensorVariable()]
2022-11-23T02:04:39.8394774Z [2022-11-23 02:00:30,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4398
2022-11-23T02:04:39.8395052Z [2022-11-23 02:00:30,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8395533Z [2022-11-23 02:00:30,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8395931Z [2022-11-23 02:00:30,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.8396382Z [2022-11-23 02:00:30,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convert_element_type [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T02:04:39.8396774Z [2022-11-23 02:00:30,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.convert_element_type)]
2022-11-23T02:04:39.8397250Z [2022-11-23 02:00:30,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4399
2022-11-23T02:04:39.8397667Z [2022-11-23 02:00:30,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor_2 [TorchVariable(prims.convert_element_type.default)]
2022-11-23T02:04:39.8398103Z [2022-11-23 02:00:30,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(prims.convert_element_type.default), TensorVariable()]
2022-11-23T02:04:39.8398753Z [2022-11-23 02:00:30,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(prims.convert_element_type.default), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8399180Z [2022-11-23 02:00:30,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4398
2022-11-23T02:04:39.8399683Z [2022-11-23 02:00:30,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.convert_element_type.default), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T02:04:39.8400102Z [2022-11-23 02:00:30,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4397
2022-11-23T02:04:39.8400465Z [2022-11-23 02:00:30,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convert_element_type_default_1 [TensorVariable()]
2022-11-23T02:04:39.8400882Z [2022-11-23 02:00:30,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4403
2022-11-23T02:04:39.8401184Z [2022-11-23 02:00:30,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8401665Z [2022-11-23 02:00:30,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8402069Z [2022-11-23 02:00:30,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.8402519Z [2022-11-23 02:00:30,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convert_element_type [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T02:04:39.8402910Z [2022-11-23 02:00:30,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.convert_element_type)]
2022-11-23T02:04:39.8403329Z [2022-11-23 02:00:30,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4404
2022-11-23T02:04:39.8403773Z [2022-11-23 02:00:30,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_1 [TorchVariable(prims.convert_element_type.default)]
2022-11-23T02:04:39.8404280Z [2022-11-23 02:00:30,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(prims.convert_element_type.default), TensorVariable()]
2022-11-23T02:04:39.8404924Z [2022-11-23 02:00:30,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(prims.convert_element_type.default), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8405325Z [2022-11-23 02:00:30,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4403
2022-11-23T02:04:39.8405818Z [2022-11-23 02:00:30,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.convert_element_type.default), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T02:04:39.8406237Z [2022-11-23 02:00:30,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4402
2022-11-23T02:04:39.8406627Z [2022-11-23 02:00:30,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convert_element_type_default_2 [TensorVariable()]
2022-11-23T02:04:39.8407402Z [2022-11-23 02:00:30,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4407
2022-11-23T02:04:39.8407745Z [2022-11-23 02:00:30,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8408257Z [2022-11-23 02:00:30,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8409019Z [2022-11-23 02:00:30,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.8409610Z [2022-11-23 02:00:30,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T02:04:39.8409978Z [2022-11-23 02:00:30,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.var)]
2022-11-23T02:04:39.8410407Z [2022-11-23 02:00:30,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4408
2022-11-23T02:04:39.8410802Z [2022-11-23 02:00:30,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_2 [TorchVariable(prims.var.default)]
2022-11-23T02:04:39.8411213Z [2022-11-23 02:00:30,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.var.default), TensorVariable()]
2022-11-23T02:04:39.8411642Z [2022-11-23 02:00:30,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.var.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8412069Z [2022-11-23 02:00:30,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.var.default), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.8412527Z [2022-11-23 02:00:30,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4407
2022-11-23T02:04:39.8413001Z [2022-11-23 02:00:30,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('correction',) [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8413540Z [2022-11-23 02:00:30,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T02:04:39.8413882Z [2022-11-23 02:00:30,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST var_default_1 [TensorVariable()]
2022-11-23T02:04:39.8414296Z [2022-11-23 02:00:30,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4410
2022-11-23T02:04:39.8414700Z [2022-11-23 02:00:30,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8415185Z [2022-11-23 02:00:30,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8415577Z [2022-11-23 02:00:30,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.8415998Z [2022-11-23 02:00:30,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR broadcast_in_dim [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T02:04:39.8416678Z [2022-11-23 02:00:30,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.broadcast_in_dim)]
2022-11-23T02:04:39.8417098Z [2022-11-23 02:00:30,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4411
2022-11-23T02:04:39.8417510Z [2022-11-23 02:00:30,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST var_default_1 [TorchVariable(prims.broadcast_in_dim.default)]
2022-11-23T02:04:39.8418075Z [2022-11-23 02:00:30,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable()]
2022-11-23T02:04:39.8418543Z [2022-11-23 02:00:30,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 512, 1) [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.8419047Z [2022-11-23 02:00:30,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:39.8419501Z [2022-11-23 02:00:30,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.8420003Z [2022-11-23 02:00:30,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8420553Z [2022-11-23 02:00:30,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.8420976Z [2022-11-23 02:00:30,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4410
2022-11-23T02:04:39.8421467Z [2022-11-23 02:00:30,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:39.8421822Z [2022-11-23 02:00:30,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST broadcast_in_dim_default_2 [TensorVariable()]
2022-11-23T02:04:39.8422246Z [2022-11-23 02:00:30,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4413
2022-11-23T02:04:39.8422544Z [2022-11-23 02:00:30,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8423025Z [2022-11-23 02:00:30,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8423426Z [2022-11-23 02:00:30,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.8423834Z [2022-11-23 02:00:30,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T02:04:39.8424184Z [2022-11-23 02:00:30,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.sum)]
2022-11-23T02:04:39.8424693Z [2022-11-23 02:00:30,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4414
2022-11-23T02:04:39.8425109Z [2022-11-23 02:00:30,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_2 [TorchVariable(prims.sum.default)]
2022-11-23T02:04:39.8425502Z [2022-11-23 02:00:30,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.sum.default), TensorVariable()]
2022-11-23T02:04:39.8425944Z [2022-11-23 02:00:30,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.sum.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8426343Z [2022-11-23 02:00:30,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4413
2022-11-23T02:04:39.8426772Z [2022-11-23 02:00:30,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.sum.default), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.8427122Z [2022-11-23 02:00:30,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sum_default_1 [TensorVariable()]
2022-11-23T02:04:39.8427645Z [2022-11-23 02:00:30,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4416
2022-11-23T02:04:39.8427950Z [2022-11-23 02:00:30,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8428432Z [2022-11-23 02:00:30,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8428877Z [2022-11-23 02:00:30,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.8429240Z [2022-11-23 02:00:30,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.8429587Z [2022-11-23 02:00:30,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.add)]
2022-11-23T02:04:39.8429999Z [2022-11-23 02:00:30,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST broadcast_in_dim_default_2 [TorchVariable(aten.add.Tensor)]
2022-11-23T02:04:39.8430399Z [2022-11-23 02:00:30,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1e-05 [TorchVariable(aten.add.Tensor), TensorVariable()]
2022-11-23T02:04:39.8430831Z [2022-11-23 02:00:30,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add.Tensor), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:39.8431178Z [2022-11-23 02:00:30,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST add_tensor_3 [TensorVariable()]
2022-11-23T02:04:39.8431594Z [2022-11-23 02:00:30,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4417
2022-11-23T02:04:39.8431903Z [2022-11-23 02:00:30,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST var_default []
2022-11-23T02:04:39.8432240Z [2022-11-23 02:00:30,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sum_default_1 [TensorVariable()]
2022-11-23T02:04:39.8432621Z [2022-11-23 02:00:30,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor_3 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8433021Z [2022-11-23 02:00:30,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8433354Z [2022-11-23 02:00:30,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8433868Z [2022-11-23 02:00:30,518] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fa640f580e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4382>
2022-11-23T02:04:39.8434206Z [2022-11-23 02:00:30,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8434580Z [2022-11-23 02:00:30,519] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.8434934Z [2022-11-23 02:00:30,522] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.8435273Z [2022-11-23 02:00:30,541] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.8435537Z [2022-11-23 02:00:30,542] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8435723Z  __compiled_fn_331 <eval_with_key>.2460 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8435852Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.8435981Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.8436106Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.8436212Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T02:04:39.8436343Z placeholder, ex_4_, ex_4_, (), {}
2022-11-23T02:04:39.8436476Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T02:04:39.8436764Z call_function, var_default, prims.var.default, (ex_3_, [2]), {'correction': 0}
2022-11-23T02:04:39.8436947Z call_function, sub_tensor, aten.sub.Tensor, (ex_2_, ex_4_), {}
2022-11-23T02:04:39.8437193Z call_function, mul_tensor, aten.mul.Tensor, (sub_tensor, ex_5_), {}
2022-11-23T02:04:39.8437387Z call_function, mul_tensor_1, aten.mul.Tensor, (mul_tensor, ex_0_), {}
2022-11-23T02:04:39.8437555Z call_function, add_tensor, aten.add.Tensor, (mul_tensor_1, ex_1_), {}
2022-11-23T02:04:39.8437820Z call_function, convert_element_type_default, prims.convert_element_type.default, (add_tensor, torch.float32), {}
2022-11-23T02:04:39.8438113Z call_function, convert_element_type_default_1, prims.convert_element_type.default, (convert_element_type_default, torch.float32), {}
2022-11-23T02:04:39.8438467Z call_function, var_default_1, prims.var.default, (convert_element_type_default_1, [2]), {'correction': 0}
2022-11-23T02:04:39.8438718Z call_function, broadcast_in_dim_default, prims.broadcast_in_dim.default, (var_default_1, [1, 512, 1], [0, 1]), {}
2022-11-23T02:04:39.8438942Z call_function, sum_default, prims.sum.default, (convert_element_type_default_1, [2]), {}
2022-11-23T02:04:39.8439294Z call_function, add_tensor_1, aten.add.Tensor, (broadcast_in_dim_default, 1e-05), {}
2022-11-23T02:04:39.8439439Z output, output, output, ((var_default, sum_default, add_tensor_1),), {}
2022-11-23T02:04:39.8439471Z 
2022-11-23T02:04:39.8439911Z [2022-11-23 02:00:30,543] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8440051Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.8440165Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8440336Z               4 BUILD_MAP                0
2022-11-23T02:04:39.8440444Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.8440595Z               8 DICT_MERGE               1
2022-11-23T02:04:39.8440729Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.8440806Z              12 RETURN_VALUE
2022-11-23T02:04:39.8440826Z 
2022-11-23T02:04:39.8440918Z  
2022-11-23T02:04:39.8441339Z [2022-11-23 02:00:30,543] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8441499Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_331)
2022-11-23T02:04:39.8441628Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8441758Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8441870Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.8442003Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8442133Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8442226Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.8442355Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8442488Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:39.8442670Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.8442797Z              20 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8442924Z              22 LOAD_CONST               4 (3)
2022-11-23T02:04:39.8443045Z              24 BINARY_SUBSCR
2022-11-23T02:04:39.8443153Z              26 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8443285Z              28 LOAD_CONST               5 (4)
2022-11-23T02:04:39.8443439Z              30 BINARY_SUBSCR
2022-11-23T02:04:39.8443563Z              32 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8443686Z              34 LOAD_CONST               6 (5)
2022-11-23T02:04:39.8443795Z              36 BINARY_SUBSCR
2022-11-23T02:04:39.8443922Z              38 CALL_FUNCTION            6
2022-11-23T02:04:39.8444053Z              40 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.8444197Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8444328Z              44 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8444447Z              46 BINARY_SUBSCR
2022-11-23T02:04:39.8444594Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8444724Z              50 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8444890Z              52 BINARY_SUBSCR
2022-11-23T02:04:39.8445041Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8445151Z              56 LOAD_CONST               3 (2)
2022-11-23T02:04:39.8445264Z              58 BINARY_SUBSCR
2022-11-23T02:04:39.8445392Z              60 BUILD_TUPLE              3
2022-11-23T02:04:39.8445505Z              62 RETURN_VALUE
2022-11-23T02:04:39.8445525Z 
2022-11-23T02:04:39.8445616Z  
2022-11-23T02:04:39.8445885Z [2022-11-23 02:00:30,545] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8445993Z  - 
2022-11-23T02:04:39.8446142Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.8446241Z             {
2022-11-23T02:04:39.8446437Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.8446699Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 6'],
2022-11-23T02:04:39.8446867Z                 'obj_weakref': None
2022-11-23T02:04:39.8447179Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.8447276Z             }
2022-11-23T02:04:39.8447353Z             
2022-11-23T02:04:39.8447461Z  - 
2022-11-23T02:04:39.8447634Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.8447731Z             {
2022-11-23T02:04:39.8447932Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8448085Z                 'code': None,
2022-11-23T02:04:39.8448376Z                 'obj_weakref': <weakref at 0x7fa53c4742c0; to 'Tensor' at 0x7fa531fc3e20>
2022-11-23T02:04:39.8448702Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8448804Z             }
2022-11-23T02:04:39.8448904Z             
2022-11-23T02:04:39.8449009Z  - 
2022-11-23T02:04:39.8449184Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.8449280Z             {
2022-11-23T02:04:39.8449478Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8449611Z                 'code': None,
2022-11-23T02:04:39.8449903Z                 'obj_weakref': <weakref at 0x7fa531fec450; to 'Tensor' at 0x7fa531fc0db0>
2022-11-23T02:04:39.8450246Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8450397Z             }
2022-11-23T02:04:39.8450489Z             
2022-11-23T02:04:39.8450572Z  - 
2022-11-23T02:04:39.8450726Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.8450836Z             {
2022-11-23T02:04:39.8450999Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8451151Z                 'code': None,
2022-11-23T02:04:39.8451437Z                 'obj_weakref': <weakref at 0x7fa531fec860; to 'Tensor' at 0x7fa531fc37e0>
2022-11-23T02:04:39.8451881Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8451978Z             }
2022-11-23T02:04:39.8452072Z             
2022-11-23T02:04:39.8452159Z  - 
2022-11-23T02:04:39.8452337Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T02:04:39.8452433Z             {
2022-11-23T02:04:39.8452636Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8452789Z                 'code': None,
2022-11-23T02:04:39.8453074Z                 'obj_weakref': <weakref at 0x7fa531fefba0; to 'Tensor' at 0x7fa531fc1a80>
2022-11-23T02:04:39.8453412Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8453494Z             }
2022-11-23T02:04:39.8453588Z             
2022-11-23T02:04:39.8453692Z  - 
2022-11-23T02:04:39.8453863Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T02:04:39.8453956Z             {
2022-11-23T02:04:39.8454160Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8454312Z                 'code': None,
2022-11-23T02:04:39.8454575Z                 'obj_weakref': <weakref at 0x7fa531fef830; to 'Tensor' at 0x7fa531fc0270>
2022-11-23T02:04:39.8454961Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8455063Z             }
2022-11-23T02:04:39.8455157Z             
2022-11-23T02:04:39.8455266Z  - 
2022-11-23T02:04:39.8455440Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T02:04:39.8455535Z             {
2022-11-23T02:04:39.8455712Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8455864Z                 'code': None,
2022-11-23T02:04:39.8457006Z                 'obj_weakref': <weakref at 0x7fa531fece00; to 'Tensor' at 0x7fa531fc24d0>
2022-11-23T02:04:39.8458274Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8458399Z             }
2022-11-23T02:04:39.8458495Z             
2022-11-23T02:04:39.8458609Z  - 
2022-11-23T02:04:39.8458779Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.8458875Z             {
2022-11-23T02:04:39.8459076Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.8459312Z                 'code': ['___check_obj_id(model, 140347992597568)'],
2022-11-23T02:04:39.8459481Z                 'obj_weakref': None
2022-11-23T02:04:39.8459793Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.8459890Z             }
2022-11-23T02:04:39.8459987Z             
2022-11-23T02:04:39.8460073Z  - 
2022-11-23T02:04:39.8460244Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.8460341Z             {
2022-11-23T02:04:39.8460529Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.8460819Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.8460988Z                 'obj_weakref': None
2022-11-23T02:04:39.8461286Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.8461437Z             }
2022-11-23T02:04:39.8461543Z             
2022-11-23T02:04:39.8461674Z  - 
2022-11-23T02:04:39.8461834Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.8461931Z             {
2022-11-23T02:04:39.8462098Z                 'guard_types': None,
2022-11-23T02:04:39.8462231Z                 'code': None,
2022-11-23T02:04:39.8462395Z                 'obj_weakref': None
2022-11-23T02:04:39.8462562Z                 'guarded_class': None
2022-11-23T02:04:39.8462658Z             }
2022-11-23T02:04:39.8462757Z             
2022-11-23T02:04:39.8462860Z  - 
2022-11-23T02:04:39.8463070Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T02:04:39.8463148Z             {
2022-11-23T02:04:39.8463342Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.8463784Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T02:04:39.8463950Z                 'obj_weakref': None
2022-11-23T02:04:39.8464256Z                 'guarded_class': <weakref at 0x7fa5bc5e1e40; to 'type' at 0x7fa5855aac80 (dtype)>
2022-11-23T02:04:39.8464354Z             }
2022-11-23T02:04:39.8464449Z             
2022-11-23T02:04:39.8464870Z [2022-11-23 02:00:30,574] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 323
2022-11-23T02:04:39.8464870Z 
2022-11-23T02:04:39.8465032Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8465085Z import torch
2022-11-23T02:04:39.8465220Z import random
2022-11-23T02:04:39.8465359Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8465500Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8465521Z 
2022-11-23T02:04:39.8465641Z aten = torch.ops.aten
2022-11-23T02:04:39.8465809Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8465948Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8465968Z 
2022-11-23T02:04:39.8465987Z 
2022-11-23T02:04:39.8466180Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.8466550Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.8466728Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.8466897Z                        float* __restrict__ in_out_ptr1,
2022-11-23T02:04:39.8467044Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.8467181Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.8467309Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.8467459Z                        const float* __restrict__ in_ptr3,
2022-11-23T02:04:39.8467603Z                        const float* __restrict__ in_ptr4,
2022-11-23T02:04:39.8467746Z                        const float* __restrict__ in_ptr5,
2022-11-23T02:04:39.8467893Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.8468032Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:39.8468182Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:39.8468345Z                        float* __restrict__ out_ptr5)
2022-11-23T02:04:39.8468406Z {
2022-11-23T02:04:39.8468557Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T02:04:39.8468636Z     auto out_ptr4 = in_out_ptr1;
2022-11-23T02:04:39.8468777Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.8468871Z     {
2022-11-23T02:04:39.8468984Z         #pragma omp for 
2022-11-23T02:04:39.8469089Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T02:04:39.8469185Z         {
2022-11-23T02:04:39.8469281Z             {
2022-11-23T02:04:39.8469579Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.8469698Z                 float tmp1 = 0;
2022-11-23T02:04:39.8469871Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T02:04:39.8470009Z                 for(long i1=0; i1<128; i1+=1)
2022-11-23T02:04:39.8470107Z                 {
2022-11-23T02:04:39.8470289Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (1024*i0));
2022-11-23T02:04:39.8470408Z                     tmp1_vec += tmp0;
2022-11-23T02:04:39.8470504Z                 }
2022-11-23T02:04:39.8470778Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T02:04:39.8470954Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T02:04:39.8471087Z                 for(long i1=1024; i1<1024; i1+=1)
2022-11-23T02:04:39.8471185Z                 {
2022-11-23T02:04:39.8471332Z                     auto tmp0 = in_ptr0[i1 + (1024*i0)];
2022-11-23T02:04:39.8471430Z                     tmp1 += tmp0;
2022-11-23T02:04:39.8471528Z                 }
2022-11-23T02:04:39.8471716Z                 out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.8471875Z             }
2022-11-23T02:04:39.8472031Z         }
2022-11-23T02:04:39.8472212Z         #pragma omp for 
2022-11-23T02:04:39.8472291Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T02:04:39.8472387Z         {
2022-11-23T02:04:39.8472488Z             {
2022-11-23T02:04:39.8472773Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.8472875Z                 float tmp6 = 0;
2022-11-23T02:04:39.8473044Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T02:04:39.8473290Z                 for(long i1=0; i1<128; i1+=1)
2022-11-23T02:04:39.8473390Z                 {
2022-11-23T02:04:39.8473573Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (1024*i0));
2022-11-23T02:04:39.8473806Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T02:04:39.8473992Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1024));
2022-11-23T02:04:39.8474089Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.8474312Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.8474445Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T02:04:39.8474634Z                     tmp6_vec += tmp5;
2022-11-23T02:04:39.8474740Z                 }
2022-11-23T02:04:39.8474996Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T02:04:39.8475168Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6)
2022-11-23T02:04:39.8475302Z                 for(long i1=1024; i1<1024; i1+=1)
2022-11-23T02:04:39.8475402Z                 {
2022-11-23T02:04:39.8475549Z                     auto tmp0 = in_ptr0[i1 + (1024*i0)];
2022-11-23T02:04:39.8475687Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T02:04:39.8475838Z                     auto tmp2 = static_cast<float>(1024);
2022-11-23T02:04:39.8475976Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.8476153Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.8476286Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T02:04:39.8476405Z                     tmp6 += tmp5;
2022-11-23T02:04:39.8476504Z                 }
2022-11-23T02:04:39.8476623Z                 out_ptr1[i0] = tmp6;
2022-11-23T02:04:39.8476720Z             }
2022-11-23T02:04:39.8476796Z         }
2022-11-23T02:04:39.8476913Z         #pragma omp for 
2022-11-23T02:04:39.8477031Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T02:04:39.8477130Z         {
2022-11-23T02:04:39.8477224Z             {
2022-11-23T02:04:39.8477484Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.8477599Z                 float tmp9 = 0;
2022-11-23T02:04:39.8477770Z                 auto tmp9_vec = at::vec::Vectorized<float>(tmp9);
2022-11-23T02:04:39.8477892Z                 for(long i1=0; i1<128; i1+=1)
2022-11-23T02:04:39.8477985Z                 {
2022-11-23T02:04:39.8478180Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (1024*i0));
2022-11-23T02:04:39.8478364Z                     auto tmp1 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T02:04:39.8478546Z                     auto tmp3 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T02:04:39.8478738Z                     auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr4 + 8*i1);
2022-11-23T02:04:39.8478920Z                     auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr5 + 8*i1);
2022-11-23T02:04:39.8479114Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.8479228Z                     auto tmp4 = tmp2 * tmp3;
2022-11-23T02:04:39.8479358Z                     auto tmp6 = tmp4 * tmp5;
2022-11-23T02:04:39.8479491Z                     auto tmp8 = tmp6 + tmp7;
2022-11-23T02:04:39.8479646Z                     tmp8.store(out_ptr2 + (8*i1) + (1024*i0));
2022-11-23T02:04:39.8479827Z                     tmp9_vec += tmp8;
2022-11-23T02:04:39.8479925Z                 }
2022-11-23T02:04:39.8480199Z                 tmp9 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp9_vec);
2022-11-23T02:04:39.8480369Z                 #pragma omp simd simdlen(4)  reduction(+:tmp9)
2022-11-23T02:04:39.8480484Z                 for(long i1=1024; i1<1024; i1+=1)
2022-11-23T02:04:39.8480582Z                 {
2022-11-23T02:04:39.8480724Z                     auto tmp0 = in_ptr1[i1 + (1024*i0)];
2022-11-23T02:04:39.8480858Z                     auto tmp1 = in_ptr2[i0];
2022-11-23T02:04:39.8480987Z                     auto tmp3 = in_ptr3[i0];
2022-11-23T02:04:39.8481112Z                     auto tmp5 = in_ptr4[i1];
2022-11-23T02:04:39.8481239Z                     auto tmp7 = in_ptr5[i1];
2022-11-23T02:04:39.8481419Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T02:04:39.8481554Z                     auto tmp4 = tmp2 * tmp3;
2022-11-23T02:04:39.8481681Z                     auto tmp6 = tmp4 * tmp5;
2022-11-23T02:04:39.8481811Z                     auto tmp8 = tmp6 + tmp7;
2022-11-23T02:04:39.8481948Z                     out_ptr2[i1 + (1024*i0)] = tmp8;
2022-11-23T02:04:39.8482113Z                     tmp9 += tmp8;
2022-11-23T02:04:39.8482216Z                 }
2022-11-23T02:04:39.8482319Z                 out_ptr3[i0] = tmp9;
2022-11-23T02:04:39.8482415Z             }
2022-11-23T02:04:39.8482510Z         }
2022-11-23T02:04:39.8482626Z         #pragma omp for 
2022-11-23T02:04:39.8482747Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T02:04:39.8482845Z         {
2022-11-23T02:04:39.8482923Z             {
2022-11-23T02:04:39.8483181Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.8483304Z                 float tmp6 = 0;
2022-11-23T02:04:39.8483474Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T02:04:39.8483596Z                 float tmp7 = 0;
2022-11-23T02:04:39.8483767Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T02:04:39.8483899Z                 for(long i1=0; i1<128; i1+=1)
2022-11-23T02:04:39.8483999Z                 {
2022-11-23T02:04:39.8484184Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + (8*i1) + (1024*i0));
2022-11-23T02:04:39.8484369Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr3[i0]);
2022-11-23T02:04:39.8484563Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1024));
2022-11-23T02:04:39.8484697Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.8484895Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.8485031Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T02:04:39.8485151Z                     tmp6_vec += tmp5;
2022-11-23T02:04:39.8485273Z                     tmp7_vec += tmp0;
2022-11-23T02:04:39.8485357Z                 }
2022-11-23T02:04:39.8485628Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T02:04:39.8485900Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T02:04:39.8486097Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2022-11-23T02:04:39.8486236Z                 for(long i1=1024; i1<1024; i1+=1)
2022-11-23T02:04:39.8486335Z                 {
2022-11-23T02:04:39.8486483Z                     auto tmp0 = out_ptr2[i1 + (1024*i0)];
2022-11-23T02:04:39.8486620Z                     auto tmp1 = out_ptr3[i0];
2022-11-23T02:04:39.8486773Z                     auto tmp2 = static_cast<float>(1024);
2022-11-23T02:04:39.8486943Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:39.8487145Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:39.8487377Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T02:04:39.8487492Z                     tmp6 += tmp5;
2022-11-23T02:04:39.8487607Z                     tmp7 += tmp0;
2022-11-23T02:04:39.8487706Z                 }
2022-11-23T02:04:39.8487807Z                 out_ptr4[i0] = tmp6;
2022-11-23T02:04:39.8487931Z                 out_ptr5[i0] = tmp7;
2022-11-23T02:04:39.8488029Z             }
2022-11-23T02:04:39.8488127Z         }
2022-11-23T02:04:39.8488243Z         #pragma omp for 
2022-11-23T02:04:39.8488363Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:39.8488458Z         {
2022-11-23T02:04:39.8488631Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T02:04:39.8488823Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1024));
2022-11-23T02:04:39.8488947Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.8489085Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.8489181Z         }
2022-11-23T02:04:39.8489323Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.8489451Z         for(long i0=512; i0<512; i0+=1)
2022-11-23T02:04:39.8489527Z         {
2022-11-23T02:04:39.8489656Z             auto tmp0 = out_ptr1[i0];
2022-11-23T02:04:39.8489802Z             auto tmp1 = static_cast<float>(1024);
2022-11-23T02:04:39.8489984Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.8490112Z             in_out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.8490207Z         }
2022-11-23T02:04:39.8490323Z         #pragma omp for 
2022-11-23T02:04:39.8490422Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T02:04:39.8490516Z         {
2022-11-23T02:04:39.8490702Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr4 + 8*i0);
2022-11-23T02:04:39.8490892Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1024));
2022-11-23T02:04:39.8491016Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.8491298Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T02:04:39.8491429Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.8491568Z             tmp4.store(in_out_ptr1 + 8*i0);
2022-11-23T02:04:39.8491644Z         }
2022-11-23T02:04:39.8491782Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.8491903Z         for(long i0=512; i0<512; i0+=1)
2022-11-23T02:04:39.8492001Z         {
2022-11-23T02:04:39.8492128Z             auto tmp0 = out_ptr4[i0];
2022-11-23T02:04:39.8492275Z             auto tmp1 = static_cast<float>(1024);
2022-11-23T02:04:39.8492399Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.8492598Z             auto tmp3 = static_cast<float>(1e-05);
2022-11-23T02:04:39.8492730Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.8492852Z             in_out_ptr1[i0] = tmp4;
2022-11-23T02:04:39.8492947Z         }
2022-11-23T02:04:39.8493047Z     }
2022-11-23T02:04:39.8493140Z }
2022-11-23T02:04:39.8493241Z ''')
2022-11-23T02:04:39.8493285Z 
2022-11-23T02:04:39.8493304Z 
2022-11-23T02:04:39.8493417Z async_compile.wait(globals())
2022-11-23T02:04:39.8493536Z del async_compile
2022-11-23T02:04:39.8493555Z 
2022-11-23T02:04:39.8493664Z def call(args):
2022-11-23T02:04:39.8493816Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1 = args
2022-11-23T02:04:39.8493925Z     args.clear()
2022-11-23T02:04:39.8494220Z     buf0 = empty_strided((1, 512, 1), (512, 1, 512), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8494500Z     buf1 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8494785Z     buf2 = empty_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8495066Z     buf3 = empty_strided((1, 512, 1), (512, 1, 512), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8495335Z     buf4 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8495605Z     buf5 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8495732Z     buf6 = buf1; del buf1  # reuse
2022-11-23T02:04:39.8495962Z     buf7 = as_strided(buf4, (1, 512, 1), (512, 1, 512)); del buf4  # reuse
2022-11-23T02:04:39.8497190Z     kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T02:04:39.8497385Z     del arg0_1
2022-11-23T02:04:39.8497551Z     del arg1_1
2022-11-23T02:04:39.8497693Z     del arg2_1
2022-11-23T02:04:39.8497853Z     del arg3_1
2022-11-23T02:04:39.8498017Z     del arg4_1
2022-11-23T02:04:39.8498163Z     del arg5_1
2022-11-23T02:04:39.8498289Z     return (buf6, buf5, buf7, )
2022-11-23T02:04:39.8498312Z 
2022-11-23T02:04:39.8498330Z 
2022-11-23T02:04:39.8498444Z if __name__ == "__main__":
2022-11-23T02:04:39.8498611Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8498766Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8499073Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8499341Z     arg1_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8499788Z     arg2_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8500096Z     arg3_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8500379Z     arg4_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8500659Z     arg5_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8500859Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1]))
2022-11-23T02:04:39.8501353Z [2022-11-23 02:00:33,343] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jm/cjmpo4cyt52iex2b4eyrfkyjlulfpvb35xvmivslgt7nphu4ke4n.py
2022-11-23T02:04:39.8501700Z [2022-11-23 02:00:33,343] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 323
2022-11-23T02:04:39.8501721Z 
2022-11-23T02:04:39.8501826Z ok (3.019s)
2022-11-23T02:04:39.8502311Z   test_tmp_not_defined_issue2_cpu (__main__.CpuTests) ... [2022-11-23 02:00:33,364] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8502695Z [2022-11-23 02:00:33,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8502990Z [2022-11-23 02:00:33,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8503328Z [2022-11-23 02:00:33,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8503700Z [2022-11-23 02:00:33,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8504128Z [2022-11-23 02:00:33,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8504593Z [2022-11-23 02:00:33,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8505024Z [2022-11-23 02:00:33,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8505521Z [2022-11-23 02:00:33,365] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fa640f582f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4436> 
2022-11-23T02:04:39.8505662Z  4437           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8505797Z                2 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.8505932Z                4 LOAD_ATTR                2 (aten)
2022-11-23T02:04:39.8506160Z                6 LOAD_ATTR                3 (div)
2022-11-23T02:04:39.8506353Z                8 LOAD_METHOD              4 (Tensor)
2022-11-23T02:04:39.8506498Z               10 LOAD_FAST                2 (getitem_17)
2022-11-23T02:04:39.8506638Z               12 LOAD_FAST                1 (arg81_1)
2022-11-23T02:04:39.8506750Z               14 CALL_METHOD              2
2022-11-23T02:04:39.8506898Z               16 STORE_FAST               4 (div_tensor_7)
2022-11-23T02:04:39.8506918Z 
2022-11-23T02:04:39.8507052Z 4438          18 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8507185Z               20 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.8507315Z               22 LOAD_ATTR                2 (aten)
2022-11-23T02:04:39.8507447Z               24 LOAD_ATTR                5 (mul)
2022-11-23T02:04:39.8507582Z               26 LOAD_METHOD              4 (Tensor)
2022-11-23T02:04:39.8507705Z               28 LOAD_FAST                4 (div_tensor_7)
2022-11-23T02:04:39.8507846Z               30 LOAD_FAST                0 (arg38_1)
2022-11-23T02:04:39.8507976Z               32 CALL_METHOD              2
2022-11-23T02:04:39.8508123Z               34 STORE_FAST               5 (mul_tensor_24)
2022-11-23T02:04:39.8508142Z 
2022-11-23T02:04:39.8508332Z 4439          36 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8508470Z               38 LOAD_ATTR                1 (ops)
2022-11-23T02:04:39.8508600Z               40 LOAD_ATTR                2 (aten)
2022-11-23T02:04:39.8508730Z               42 LOAD_ATTR                6 (sum)
2022-11-23T02:04:39.8508852Z               44 LOAD_METHOD              7 (default)
2022-11-23T02:04:39.8508998Z               46 LOAD_FAST                5 (mul_tensor_24)
2022-11-23T02:04:39.8509126Z               48 CALL_METHOD              1
2022-11-23T02:04:39.8509271Z               50 STORE_FAST               6 (sum_default_7)
2022-11-23T02:04:39.8509289Z 
2022-11-23T02:04:39.8509444Z 4440          52 LOAD_FAST                3 (new_zeros_default_4)
2022-11-23T02:04:39.8509594Z               54 LOAD_FAST                6 (sum_default_7)
2022-11-23T02:04:39.8509724Z               56 BUILD_TUPLE              2
2022-11-23T02:04:39.8509836Z               58 RETURN_VALUE
2022-11-23T02:04:39.8509910Z  
2022-11-23T02:04:39.8509929Z 
2022-11-23T02:04:39.8510376Z [2022-11-23 02:00:33,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4437
2022-11-23T02:04:39.8510678Z [2022-11-23 02:00:33,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8511159Z [2022-11-23 02:00:33,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8511554Z [2022-11-23 02:00:33,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.8511964Z [2022-11-23 02:00:33,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.8512321Z [2022-11-23 02:00:33,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.div)]
2022-11-23T02:04:39.8512694Z [2022-11-23 02:00:33,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST getitem_17 [TorchVariable(aten.div.Tensor)]
2022-11-23T02:04:39.8513095Z [2022-11-23 02:00:33,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg81_1 [TorchVariable(aten.div.Tensor), TensorVariable()]
2022-11-23T02:04:39.8513548Z [2022-11-23 02:00:33,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.div.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8513849Z [2022-11-23 02:00:33,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST div_tensor_7 [TensorVariable()]
2022-11-23T02:04:39.8514271Z [2022-11-23 02:00:33,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4438
2022-11-23T02:04:39.8514659Z [2022-11-23 02:00:33,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8515154Z [2022-11-23 02:00:33,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8515554Z [2022-11-23 02:00:33,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.8515953Z [2022-11-23 02:00:33,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.8516299Z [2022-11-23 02:00:33,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)]
2022-11-23T02:04:39.8516666Z [2022-11-23 02:00:33,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST div_tensor_7 [TorchVariable(aten.mul.Tensor)]
2022-11-23T02:04:39.8517069Z [2022-11-23 02:00:33,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg38_1 [TorchVariable(aten.mul.Tensor), TensorVariable()]
2022-11-23T02:04:39.8517547Z [2022-11-23 02:00:33,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8517878Z [2022-11-23 02:00:33,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_24 [TensorVariable()]
2022-11-23T02:04:39.8518294Z [2022-11-23 02:00:33,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4439
2022-11-23T02:04:39.8518593Z [2022-11-23 02:00:33,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8519074Z [2022-11-23 02:00:33,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8519469Z [2022-11-23 02:00:33,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:39.8519875Z [2022-11-23 02:00:33,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.8520226Z [2022-11-23 02:00:33,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.sum)]
2022-11-23T02:04:39.8520599Z [2022-11-23 02:00:33,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_24 [TorchVariable(aten.sum.default)]
2022-11-23T02:04:39.8520993Z [2022-11-23 02:00:33,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sum.default), TensorVariable()]
2022-11-23T02:04:39.8521336Z [2022-11-23 02:00:33,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sum_default_7 [TensorVariable()]
2022-11-23T02:04:39.8521754Z [2022-11-23 02:00:33,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4440
2022-11-23T02:04:39.8522096Z [2022-11-23 02:00:33,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_zeros_default_4 []
2022-11-23T02:04:39.8522444Z [2022-11-23 02:00:33,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sum_default_7 [TensorVariable()]
2022-11-23T02:04:39.8522803Z [2022-11-23 02:00:33,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8523138Z [2022-11-23 02:00:33,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8523651Z [2022-11-23 02:00:33,401] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fa640f582f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4436>
2022-11-23T02:04:39.8523980Z [2022-11-23 02:00:33,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8524361Z [2022-11-23 02:00:33,401] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.8524706Z [2022-11-23 02:00:33,404] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.8525044Z [2022-11-23 02:00:33,412] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.8525288Z [2022-11-23 02:00:33,413] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8525479Z  __compiled_fn_332 <eval_with_key>.2466 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8525608Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.8525733Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.8525859Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:39.8526040Z call_function, div_tensor, aten.div.Tensor, (ex_2_, ex_1_), {}
2022-11-23T02:04:39.8526228Z call_function, mul_tensor, aten.mul.Tensor, (div_tensor, ex_0_), {}
2022-11-23T02:04:39.8526417Z call_function, sum_default, aten.sum.default, (mul_tensor,), {}
2022-11-23T02:04:39.8526554Z output, output, output, ((sum_default,),), {}
2022-11-23T02:04:39.8526573Z 
2022-11-23T02:04:39.8527061Z [2022-11-23 02:00:33,414] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8527209Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.8527340Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8527471Z               4 BUILD_MAP                0
2022-11-23T02:04:39.8527607Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.8527734Z               8 DICT_MERGE               1
2022-11-23T02:04:39.8527862Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.8527958Z              12 RETURN_VALUE
2022-11-23T02:04:39.8527979Z 
2022-11-23T02:04:39.8528074Z  
2022-11-23T02:04:39.8528511Z [2022-11-23 02:00:33,414] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8528668Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_332)
2022-11-23T02:04:39.8528801Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8528932Z               4 LOAD_CONST               2 (0)
2022-11-23T02:04:39.8529045Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.8529155Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8529284Z              10 LOAD_CONST               3 (1)
2022-11-23T02:04:39.8529393Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.8529520Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8529644Z              16 LOAD_CONST               4 (2)
2022-11-23T02:04:39.8529755Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.8529882Z              20 CALL_FUNCTION            3
2022-11-23T02:04:39.8530014Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.8530150Z              24 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8530277Z              26 LOAD_CONST               1 (3)
2022-11-23T02:04:39.8530390Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.8530535Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8530663Z              32 LOAD_CONST               2 (0)
2022-11-23T02:04:39.8530775Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.8530902Z              36 BUILD_TUPLE              2
2022-11-23T02:04:39.8530997Z              38 RETURN_VALUE
2022-11-23T02:04:39.8531017Z 
2022-11-23T02:04:39.8531109Z  
2022-11-23T02:04:39.8531370Z [2022-11-23 02:00:33,415] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8531481Z  - 
2022-11-23T02:04:39.8531652Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.8531749Z             {
2022-11-23T02:04:39.8531947Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.8532186Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 4'],
2022-11-23T02:04:39.8532438Z                 'obj_weakref': None
2022-11-23T02:04:39.8532747Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.8532845Z             }
2022-11-23T02:04:39.8532945Z             
2022-11-23T02:04:39.8533051Z  - 
2022-11-23T02:04:39.8533229Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.8533307Z             {
2022-11-23T02:04:39.8533500Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8533654Z                 'code': None,
2022-11-23T02:04:39.8533945Z                 'obj_weakref': <weakref at 0x7fa52469dd00; to 'Tensor' at 0x7fa53c5272e0>
2022-11-23T02:04:39.8534288Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8534384Z             }
2022-11-23T02:04:39.8534479Z             
2022-11-23T02:04:39.8534566Z  - 
2022-11-23T02:04:39.8534744Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.8534838Z             {
2022-11-23T02:04:39.8535036Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8535191Z                 'code': None,
2022-11-23T02:04:39.8535524Z                 'obj_weakref': <weakref at 0x7fa5321c21b0; to 'Tensor' at 0x7fa62380d080>
2022-11-23T02:04:39.8535873Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8535952Z             }
2022-11-23T02:04:39.8536492Z             
2022-11-23T02:04:39.8536692Z  - 
2022-11-23T02:04:39.8536983Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:39.8537140Z             {
2022-11-23T02:04:39.8537480Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8537738Z                 'code': None,
2022-11-23T02:04:39.8538155Z                 'obj_weakref': <weakref at 0x7fa53218ee80; to 'Tensor' at 0x7fa532108a40>
2022-11-23T02:04:39.8538504Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8538606Z             }
2022-11-23T02:04:39.8538702Z             
2022-11-23T02:04:39.8538807Z  - 
2022-11-23T02:04:39.8538979Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T02:04:39.8539079Z             {
2022-11-23T02:04:39.8539258Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8539411Z                 'code': None,
2022-11-23T02:04:39.8539696Z                 'obj_weakref': <weakref at 0x7fa531fecb30; to 'Tensor' at 0x7fa53210a9d0>
2022-11-23T02:04:39.8540031Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8540185Z             }
2022-11-23T02:04:39.8540279Z             
2022-11-23T02:04:39.8540383Z  - 
2022-11-23T02:04:39.8540547Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.8540642Z             {
2022-11-23T02:04:39.8540827Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.8541063Z                 'code': ['___check_obj_id(model, 140347993304384)'],
2022-11-23T02:04:39.8541229Z                 'obj_weakref': None
2022-11-23T02:04:39.8541569Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.8541636Z             }
2022-11-23T02:04:39.8541714Z             
2022-11-23T02:04:39.8541820Z  - 
2022-11-23T02:04:39.8541989Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.8542086Z             {
2022-11-23T02:04:39.8542276Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.8542568Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.8542735Z                 'obj_weakref': None
2022-11-23T02:04:39.8543014Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.8543111Z             }
2022-11-23T02:04:39.8543208Z             
2022-11-23T02:04:39.8543473Z  - 
2022-11-23T02:04:39.8543663Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.8543761Z             {
2022-11-23T02:04:39.8543928Z                 'guard_types': None,
2022-11-23T02:04:39.8544060Z                 'code': None,
2022-11-23T02:04:39.8544227Z                 'obj_weakref': None
2022-11-23T02:04:39.8544400Z                 'guarded_class': None
2022-11-23T02:04:39.8544497Z             }
2022-11-23T02:04:39.8544591Z             
2022-11-23T02:04:39.8544945Z [2022-11-23 02:00:33,430] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 324
2022-11-23T02:04:39.8545437Z [2022-11-23 02:00:36,038] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/es/cesviuvm6crkgansueuzusrwdu34fyd74auftpgm6j6hnevoh3qe.py
2022-11-23T02:04:39.8545782Z [2022-11-23 02:00:36,038] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 324
2022-11-23T02:04:39.8545825Z 
2022-11-23T02:04:39.8545946Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8546056Z import torch
2022-11-23T02:04:39.8546163Z import random
2022-11-23T02:04:39.8546328Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8546497Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8546517Z 
2022-11-23T02:04:39.8546718Z aten = torch.ops.aten
2022-11-23T02:04:39.8546914Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8547030Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8547049Z 
2022-11-23T02:04:39.8547069Z 
2022-11-23T02:04:39.8547263Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.8547543Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.8547713Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.8547863Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.8548008Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:39.8548155Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.8548250Z {
2022-11-23T02:04:39.8548329Z     {
2022-11-23T02:04:39.8548615Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:39.8548734Z         float tmp5 = 0;
2022-11-23T02:04:39.8548905Z         auto tmp5_vec = at::vec::Vectorized<float>(tmp5);
2022-11-23T02:04:39.8549056Z         #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.8549154Z         {
2022-11-23T02:04:39.8549310Z             #pragma omp for reduction(+:tmp5_vec) 
2022-11-23T02:04:39.8549420Z             for(long i0=0; i0<17600; i0+=1)
2022-11-23T02:04:39.8549528Z             {
2022-11-23T02:04:39.8549717Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.8549895Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T02:04:39.8550084Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T02:04:39.8550218Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.8550346Z                 auto tmp4 = tmp2 * tmp3;
2022-11-23T02:04:39.8550466Z                 tmp5_vec += tmp4;
2022-11-23T02:04:39.8550544Z             }
2022-11-23T02:04:39.8550819Z             tmp5 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp5_vec);
2022-11-23T02:04:39.8550993Z             #pragma omp for simd simdlen(4) reduction(+:tmp5) 
2022-11-23T02:04:39.8551134Z             for(long i0=140800; i0<140800; i0+=1)
2022-11-23T02:04:39.8551233Z             {
2022-11-23T02:04:39.8551361Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.8551487Z                 auto tmp1 = in_ptr1[0];
2022-11-23T02:04:39.8551595Z                 auto tmp3 = in_ptr2[i0];
2022-11-23T02:04:39.8551725Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:39.8551851Z                 auto tmp4 = tmp2 * tmp3;
2022-11-23T02:04:39.8551961Z                 tmp5 += tmp4;
2022-11-23T02:04:39.8552123Z             }
2022-11-23T02:04:39.8552218Z         }
2022-11-23T02:04:39.8552334Z         out_ptr0[0] = tmp5;
2022-11-23T02:04:39.8552410Z     }
2022-11-23T02:04:39.8552504Z }
2022-11-23T02:04:39.8552631Z ''')
2022-11-23T02:04:39.8552651Z 
2022-11-23T02:04:39.8552673Z 
2022-11-23T02:04:39.8552802Z async_compile.wait(globals())
2022-11-23T02:04:39.8552912Z del async_compile
2022-11-23T02:04:39.8552931Z 
2022-11-23T02:04:39.8553037Z def call(args):
2022-11-23T02:04:39.8553158Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:39.8553246Z     args.clear()
2022-11-23T02:04:39.8553505Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8553763Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.8553869Z     del arg0_1
2022-11-23T02:04:39.8553972Z     del arg1_1
2022-11-23T02:04:39.8554072Z     del arg2_1
2022-11-23T02:04:39.8554184Z     return (buf0, )
2022-11-23T02:04:39.8554204Z 
2022-11-23T02:04:39.8554224Z 
2022-11-23T02:04:39.8554338Z if __name__ == "__main__":
2022-11-23T02:04:39.8554481Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8554653Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8555009Z     arg0_1 = rand_strided((1, 88, 40, 40), (140800, 1600, 40, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8555274Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8555570Z     arg2_1 = rand_strided((1, 88, 40, 40), (140800, 1600, 40, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8555743Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:39.8555762Z 
2022-11-23T02:04:39.8555864Z ok (2.692s)
2022-11-23T02:04:39.8556069Z   test_to_device_constant_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2022-11-23T02:04:39.8556238Z   test_to_device_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2022-11-23T02:04:39.8556654Z   test_to_dtype_cpu (__main__.CpuTests) ... [2022-11-23 02:00:36,048] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8557086Z [2022-11-23 02:00:36,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8557385Z [2022-11-23 02:00:36,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8557728Z [2022-11-23 02:00:36,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8558102Z [2022-11-23 02:00:36,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8558531Z [2022-11-23 02:00:36,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8558992Z [2022-11-23 02:00:36,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8559428Z [2022-11-23 02:00:36,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8559931Z [2022-11-23 02:00:36,049] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb82f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1723> 
2022-11-23T02:04:39.8560051Z  1725           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.8560194Z                2 LOAD_ATTR                1 (_to_copy)
2022-11-23T02:04:39.8560326Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.8560457Z                6 LOAD_CONST               1 (6)
2022-11-23T02:04:39.8560667Z                8 LOAD_CONST               2 (('dtype',))
2022-11-23T02:04:39.8560800Z               10 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.8560877Z 
2022-11-23T02:04:39.8561017Z 1726          12 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.8561155Z               14 LOAD_ATTR                1 (_to_copy)
2022-11-23T02:04:39.8561268Z               16 LOAD_FAST                1 (b)
2022-11-23T02:04:39.8561404Z               18 LOAD_CONST               3 (1)
2022-11-23T02:04:39.8561515Z               20 BINARY_ADD
2022-11-23T02:04:39.8561647Z               22 LOAD_CONST               1 (6)
2022-11-23T02:04:39.8561853Z               24 LOAD_CONST               2 (('dtype',))
2022-11-23T02:04:39.8561988Z               26 CALL_FUNCTION_KW         2
2022-11-23T02:04:39.8562008Z 
2022-11-23T02:04:39.8562145Z 1727          28 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.8562261Z               30 LOAD_METHOD              2 (to)
2022-11-23T02:04:39.8562395Z               32 LOAD_FAST                1 (b)
2022-11-23T02:04:39.8562532Z               34 LOAD_GLOBAL              3 (torch)
2022-11-23T02:04:39.8562670Z               36 LOAD_ATTR                4 (float64)
2022-11-23T02:04:39.8562804Z               38 CALL_METHOD              2
2022-11-23T02:04:39.8562823Z 
2022-11-23T02:04:39.8562956Z 1728          40 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.8563162Z               42 LOAD_METHOD              2 (to)
2022-11-23T02:04:39.8563300Z               44 LOAD_FAST                1 (b)
2022-11-23T02:04:39.8563418Z               46 LOAD_GLOBAL              3 (torch)
2022-11-23T02:04:39.8563549Z               48 LOAD_ATTR                5 (bool)
2022-11-23T02:04:39.8563679Z               50 CALL_METHOD              2
2022-11-23T02:04:39.8563697Z 
2022-11-23T02:04:39.8563828Z 1724          52 BUILD_TUPLE              4
2022-11-23T02:04:39.8563940Z               54 RETURN_VALUE
2022-11-23T02:04:39.8564034Z  
2022-11-23T02:04:39.8564053Z 
2022-11-23T02:04:39.8564485Z [2022-11-23 02:00:36,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1725
2022-11-23T02:04:39.8564785Z [2022-11-23 02:00:36,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.8565181Z [2022-11-23 02:00:36,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.8565535Z [2022-11-23 02:00:36,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten._to_copy)]
2022-11-23T02:04:39.8565918Z [2022-11-23 02:00:36,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T02:04:39.8566357Z [2022-11-23 02:00:36,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8566848Z [2022-11-23 02:00:36,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T02:04:39.8567271Z [2022-11-23 02:00:36,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1726
2022-11-23T02:04:39.8567606Z [2022-11-23 02:00:36,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.8568054Z [2022-11-23 02:00:36,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.8568432Z [2022-11-23 02:00:36,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten._to_copy)]
2022-11-23T02:04:39.8568842Z [2022-11-23 02:00:36,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T02:04:39.8569315Z [2022-11-23 02:00:36,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8569848Z [2022-11-23 02:00:36,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T02:04:39.8570340Z [2022-11-23 02:00:36,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8570865Z [2022-11-23 02:00:36,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T02:04:39.8571271Z [2022-11-23 02:00:36,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1727
2022-11-23T02:04:39.8571639Z [2022-11-23 02:00:36,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8572130Z [2022-11-23 02:00:36,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.8572597Z [2022-11-23 02:00:36,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.to)]
2022-11-23T02:04:39.8573055Z [2022-11-23 02:00:36,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable()]
2022-11-23T02:04:39.8573711Z [2022-11-23 02:00:36,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float64 [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8574217Z [2022-11-23 02:00:36,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T02:04:39.8574642Z [2022-11-23 02:00:36,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1728
2022-11-23T02:04:39.8575052Z [2022-11-23 02:00:36,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8575571Z [2022-11-23 02:00:36,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.8575995Z [2022-11-23 02:00:36,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to)]
2022-11-23T02:04:39.8577516Z [2022-11-23 02:00:36,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable()]
2022-11-23T02:04:39.8578530Z [2022-11-23 02:00:36,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8579090Z [2022-11-23 02:00:36,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T02:04:39.8579512Z [2022-11-23 02:00:36,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1724
2022-11-23T02:04:39.8579945Z [2022-11-23 02:00:36,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8580275Z [2022-11-23 02:00:36,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8580974Z [2022-11-23 02:00:36,095] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb82f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1723>
2022-11-23T02:04:39.8581308Z [2022-11-23 02:00:36,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8581627Z [2022-11-23 02:00:36,096] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.8581968Z [2022-11-23 02:00:36,098] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.8582307Z [2022-11-23 02:00:36,107] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.8582546Z [2022-11-23 02:00:36,108] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8582735Z  __compiled_fn_333 <eval_with_key>.2472 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8582870Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.8582997Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.8583242Z call_function, _to_copy, aten._to_copy, (ex_0_,), {'dtype': 6}
2022-11-23T02:04:39.8583546Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T02:04:39.8583802Z call_function, _to_copy_1, aten._to_copy, (add,), {'dtype': 6}
2022-11-23T02:04:39.8583949Z call_function, to, aten.to, (ex_1_, torch.float64), {}
2022-11-23T02:04:39.8584111Z call_function, to_1, aten.to, (ex_1_, torch.bool), {}
2022-11-23T02:04:39.8584280Z output, output, output, ((_to_copy, _to_copy_1, to, to_1),), {}
2022-11-23T02:04:39.8584300Z 
2022-11-23T02:04:39.8584737Z [2022-11-23 02:00:36,109] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8584873Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.8585003Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8585134Z               4 BUILD_MAP                0
2022-11-23T02:04:39.8585272Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.8585377Z               8 DICT_MERGE               1
2022-11-23T02:04:39.8585515Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.8585628Z              12 RETURN_VALUE
2022-11-23T02:04:39.8585649Z 
2022-11-23T02:04:39.8585742Z  
2022-11-23T02:04:39.8586171Z [2022-11-23 02:00:36,109] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8586326Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_333)
2022-11-23T02:04:39.8586453Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8586585Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8586680Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.8586810Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8586996Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8587111Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.8587240Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.8587387Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.8587537Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8587648Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8587762Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.8587909Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8588040Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8588156Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.8588298Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8588425Z              32 LOAD_CONST               3 (2)
2022-11-23T02:04:39.8588518Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.8588669Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8588868Z              38 LOAD_CONST               4 (3)
2022-11-23T02:04:39.8588981Z              40 BINARY_SUBSCR
2022-11-23T02:04:39.8589107Z              42 BUILD_TUPLE              4
2022-11-23T02:04:39.8589222Z              44 RETURN_VALUE
2022-11-23T02:04:39.8589242Z 
2022-11-23T02:04:39.8589338Z  
2022-11-23T02:04:39.8589595Z [2022-11-23 02:00:36,111] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8589684Z  - 
2022-11-23T02:04:39.8589851Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.8589948Z             {
2022-11-23T02:04:39.8590144Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.8590400Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.8590570Z                 'obj_weakref': None
2022-11-23T02:04:39.8590877Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.8590956Z             }
2022-11-23T02:04:39.8591058Z             
2022-11-23T02:04:39.8591164Z  - 
2022-11-23T02:04:39.8591344Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.8591442Z             {
2022-11-23T02:04:39.8591645Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8591779Z                 'code': None,
2022-11-23T02:04:39.8592123Z                 'obj_weakref': <weakref at 0x7fa531fc3970; to 'Tensor' at 0x7fa55016cd60>
2022-11-23T02:04:39.8592475Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8592574Z             }
2022-11-23T02:04:39.8592744Z             
2022-11-23T02:04:39.8592850Z  - 
2022-11-23T02:04:39.8593026Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.8593124Z             {
2022-11-23T02:04:39.8593304Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8593458Z                 'code': None,
2022-11-23T02:04:39.8593741Z                 'obj_weakref': <weakref at 0x7fa6237e0c70; to 'Tensor' at 0x7fa53c3ab8d0>
2022-11-23T02:04:39.8594085Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8594182Z             }
2022-11-23T02:04:39.8594278Z             
2022-11-23T02:04:39.8594383Z  - 
2022-11-23T02:04:39.8594551Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.8594645Z             {
2022-11-23T02:04:39.8594834Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.8595067Z                 'code': ['___check_obj_id(model, 140347657454640)'],
2022-11-23T02:04:39.8595237Z                 'obj_weakref': None
2022-11-23T02:04:39.8595544Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.8595645Z             }
2022-11-23T02:04:39.8595722Z             
2022-11-23T02:04:39.8595828Z  - 
2022-11-23T02:04:39.8596001Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.8596096Z             {
2022-11-23T02:04:39.8596287Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.8596580Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.8596746Z                 'obj_weakref': None
2022-11-23T02:04:39.8597049Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.8597144Z             }
2022-11-23T02:04:39.8597229Z             
2022-11-23T02:04:39.8597333Z  - 
2022-11-23T02:04:39.8597517Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.8597619Z             {
2022-11-23T02:04:39.8597769Z                 'guard_types': None,
2022-11-23T02:04:39.8597921Z                 'code': None,
2022-11-23T02:04:39.8598086Z                 'obj_weakref': None
2022-11-23T02:04:39.8598253Z                 'guarded_class': None
2022-11-23T02:04:39.8598351Z             }
2022-11-23T02:04:39.8598446Z             
2022-11-23T02:04:39.8598548Z  - 
2022-11-23T02:04:39.8598713Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.8598873Z             {
2022-11-23T02:04:39.8599059Z                 'guard_types': None,
2022-11-23T02:04:39.8599194Z                 'code': None,
2022-11-23T02:04:39.8599424Z                 'obj_weakref': None
2022-11-23T02:04:39.8599603Z                 'guarded_class': None
2022-11-23T02:04:39.8599702Z             }
2022-11-23T02:04:39.8599776Z             
2022-11-23T02:04:39.8599881Z  - 
2022-11-23T02:04:39.8600078Z             global 'torch.bool' CONSTANT_MATCH
2022-11-23T02:04:39.8600176Z             {
2022-11-23T02:04:39.8600374Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.8600595Z                 'code': ["str(torch.bool) == 'torch.bool'"],
2022-11-23T02:04:39.8600763Z                 'obj_weakref': None
2022-11-23T02:04:39.8601055Z                 'guarded_class': <weakref at 0x7fa5bc5e1e40; to 'type' at 0x7fa5855aac80 (dtype)>
2022-11-23T02:04:39.8601153Z             }
2022-11-23T02:04:39.8601248Z             
2022-11-23T02:04:39.8601357Z  - 
2022-11-23T02:04:39.8601570Z             global 'torch.float64' CONSTANT_MATCH
2022-11-23T02:04:39.8601663Z             {
2022-11-23T02:04:39.8601859Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:39.8602083Z                 'code': ["str(torch.float64) == 'torch.float64'"],
2022-11-23T02:04:39.8602301Z                 'obj_weakref': None
2022-11-23T02:04:39.8602611Z                 'guarded_class': <weakref at 0x7fa5bc5e1e40; to 'type' at 0x7fa5855aac80 (dtype)>
2022-11-23T02:04:39.8602706Z             }
2022-11-23T02:04:39.8602800Z             
2022-11-23T02:04:39.8603152Z [2022-11-23 02:00:36,126] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 325
2022-11-23T02:04:39.8603636Z [2022-11-23 02:00:38,731] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pl/cplc5pc4z7qtikbrri73agtvfdp2nmt4avcsfnf6b5b6uddijvdi.py
2022-11-23T02:04:39.8603975Z [2022-11-23 02:00:38,731] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 325
2022-11-23T02:04:39.8604019Z 
2022-11-23T02:04:39.8604138Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8604240Z import torch
2022-11-23T02:04:39.8604348Z import random
2022-11-23T02:04:39.8604511Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8604688Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8604707Z 
2022-11-23T02:04:39.8604823Z aten = torch.ops.aten
2022-11-23T02:04:39.8605009Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8605125Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8605144Z 
2022-11-23T02:04:39.8605182Z 
2022-11-23T02:04:39.8605354Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.8605633Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.8605805Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T02:04:39.8605946Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.8606090Z                        bool* __restrict__ out_ptr1)
2022-11-23T02:04:39.8606183Z {
2022-11-23T02:04:39.8606325Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.8606400Z     {
2022-11-23T02:04:39.8606515Z         #pragma omp for 
2022-11-23T02:04:39.8606640Z         for(long i0=0; i0<40; i0+=1)
2022-11-23T02:04:39.8606736Z         {
2022-11-23T02:04:39.8606833Z             {
2022-11-23T02:04:39.8606937Z                 {
2022-11-23T02:04:39.8607052Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.8607204Z                     auto tmp1 = static_cast<double>(1);
2022-11-23T02:04:39.8607335Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.8607490Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T02:04:39.8607641Z                     auto tmp4 = static_cast<bool>(tmp0);
2022-11-23T02:04:39.8607764Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:39.8607886Z                     out_ptr1[i0] = tmp4;
2022-11-23T02:04:39.8608052Z                 }
2022-11-23T02:04:39.8608129Z             }
2022-11-23T02:04:39.8608223Z         }
2022-11-23T02:04:39.8608321Z     }
2022-11-23T02:04:39.8608412Z }
2022-11-23T02:04:39.8608540Z ''')
2022-11-23T02:04:39.8608560Z 
2022-11-23T02:04:39.8608578Z 
2022-11-23T02:04:39.8608716Z async_compile.wait(globals())
2022-11-23T02:04:39.8608824Z del async_compile
2022-11-23T02:04:39.8608844Z 
2022-11-23T02:04:39.8608933Z def call(args):
2022-11-23T02:04:39.8609046Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.8609152Z     args.clear()
2022-11-23T02:04:39.8609437Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8609710Z     buf1 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.8609941Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.8610076Z     return (arg0_1, buf0, arg1_1, buf1, )
2022-11-23T02:04:39.8610095Z 
2022-11-23T02:04:39.8610117Z 
2022-11-23T02:04:39.8610232Z if __name__ == "__main__":
2022-11-23T02:04:39.8610374Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8610546Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8610879Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8611161Z     arg1_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:39.8611324Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.8611343Z 
2022-11-23T02:04:39.8611444Z ok (2.691s)
2022-11-23T02:04:39.8611849Z   test_topk_cpu (__main__.CpuTests) ... [2022-11-23 02:00:38,738] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8612266Z [2022-11-23 02:00:38,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8620904Z [2022-11-23 02:00:38,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8621423Z [2022-11-23 02:00:38,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8621825Z [2022-11-23 02:00:38,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8622242Z [2022-11-23 02:00:38,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8622720Z [2022-11-23 02:00:38,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8623155Z [2022-11-23 02:00:38,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8623665Z [2022-11-23 02:00:38,740] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f88df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3099> 
2022-11-23T02:04:39.8623820Z  3100           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8623965Z                2 LOAD_METHOD              1 (topk)
2022-11-23T02:04:39.8624109Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.8624249Z                6 LOAD_CONST               1 (2)
2022-11-23T02:04:39.8624451Z                8 LOAD_CONST               2 (-1)
2022-11-23T02:04:39.8624563Z               10 CALL_METHOD              3
2022-11-23T02:04:39.8624681Z               12 RETURN_VALUE
2022-11-23T02:04:39.8624778Z  
2022-11-23T02:04:39.8624799Z 
2022-11-23T02:04:39.8625234Z [2022-11-23 02:00:38,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3100
2022-11-23T02:04:39.8625542Z [2022-11-23 02:00:38,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8626306Z [2022-11-23 02:00:38,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR topk [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8626747Z [2022-11-23 02:00:38,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method topk of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.8627231Z [2022-11-23 02:00:38,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method topk of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.8627760Z [2022-11-23 02:00:38,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method topk of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8628334Z [2022-11-23 02:00:38,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method topk of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.8628666Z [2022-11-23 02:00:38,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T02:04:39.8629266Z [2022-11-23 02:00:38,744] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f88df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3099>
2022-11-23T02:04:39.8629631Z [2022-11-23 02:00:38,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T02:04:39.8629958Z [2022-11-23 02:00:38,745] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.8630307Z [2022-11-23 02:00:38,746] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.8630648Z [2022-11-23 02:00:38,751] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.8630914Z [2022-11-23 02:00:38,751] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8631120Z  __compiled_fn_334 <eval_with_key>.2478 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8631256Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.8631560Z call_function, topk, <built-in method topk of type object at 0x7fa5855aec60>, (ex_0_, 2, -1), {}
2022-11-23T02:04:39.8631822Z call_function, getitem, <built-in function getitem>, (topk, 0), {}
2022-11-23T02:04:39.8632084Z call_function, getitem_1, <built-in function getitem>, (topk, 1), {}
2022-11-23T02:04:39.8632251Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T02:04:39.8632271Z 
2022-11-23T02:04:39.8632718Z [2022-11-23 02:00:38,752] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8632860Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.8632999Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8633136Z               4 BUILD_MAP                0
2022-11-23T02:04:39.8633276Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.8633385Z               8 DICT_MERGE               1
2022-11-23T02:04:39.8633518Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.8633642Z              12 RETURN_VALUE
2022-11-23T02:04:39.8633662Z 
2022-11-23T02:04:39.8633758Z  
2022-11-23T02:04:39.8634196Z [2022-11-23 02:00:38,752] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8634357Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_334)
2022-11-23T02:04:39.8634499Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8634612Z               4 LOAD_CONST               2 (0)
2022-11-23T02:04:39.8634732Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.8634862Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.8635013Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.8635363Z              12 LOAD_CONST               1 (<class 'torch.return_types.topk'>)
2022-11-23T02:04:39.8635519Z              14 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8635658Z              16 LOAD_CONST               2 (0)
2022-11-23T02:04:39.8635786Z              18 BINARY_SUBSCR
2022-11-23T02:04:39.8635915Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8636048Z              22 LOAD_CONST               3 (1)
2022-11-23T02:04:39.8636165Z              24 BINARY_SUBSCR
2022-11-23T02:04:39.8636298Z              26 BUILD_TUPLE              2
2022-11-23T02:04:39.8636432Z              28 CALL_FUNCTION            1
2022-11-23T02:04:39.8636548Z              30 RETURN_VALUE
2022-11-23T02:04:39.8636568Z 
2022-11-23T02:04:39.8636669Z  
2022-11-23T02:04:39.8636908Z [2022-11-23 02:00:38,753] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8637024Z  - 
2022-11-23T02:04:39.8637197Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.8637306Z             {
2022-11-23T02:04:39.8637514Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.8637776Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.8638008Z                 'obj_weakref': None
2022-11-23T02:04:39.8638303Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.8638410Z             }
2022-11-23T02:04:39.8638511Z             
2022-11-23T02:04:39.8638625Z  - 
2022-11-23T02:04:39.8638809Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.8638914Z             {
2022-11-23T02:04:39.8639115Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8639251Z                 'code': None,
2022-11-23T02:04:39.8639545Z                 'obj_weakref': <weakref at 0x7fa55003c860; to 'Tensor' at 0x7fa531fc1120>
2022-11-23T02:04:39.8639893Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8640001Z             }
2022-11-23T02:04:39.8640103Z             
2022-11-23T02:04:39.8640213Z  - 
2022-11-23T02:04:39.8640401Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.8640481Z             {
2022-11-23T02:04:39.8640675Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.8640911Z                 'code': ['___check_obj_id(model, 140347657938416)'],
2022-11-23T02:04:39.8641084Z                 'obj_weakref': None
2022-11-23T02:04:39.8641400Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.8641501Z             }
2022-11-23T02:04:39.8641600Z             
2022-11-23T02:04:39.8641687Z  - 
2022-11-23T02:04:39.8641863Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.8641963Z             {
2022-11-23T02:04:39.8642158Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.8642456Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.8642631Z                 'obj_weakref': None
2022-11-23T02:04:39.8642935Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.8643013Z             }
2022-11-23T02:04:39.8643118Z             
2022-11-23T02:04:39.8643225Z  - 
2022-11-23T02:04:39.8643413Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.8643513Z             {
2022-11-23T02:04:39.8643689Z                 'guard_types': None,
2022-11-23T02:04:39.8643844Z                 'code': None,
2022-11-23T02:04:39.8643994Z                 'obj_weakref': None
2022-11-23T02:04:39.8644166Z                 'guarded_class': None
2022-11-23T02:04:39.8644266Z             }
2022-11-23T02:04:39.8644365Z             
2022-11-23T02:04:39.8644722Z [2022-11-23 02:00:38,764] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 326
2022-11-23T02:04:39.8645024Z [2022-11-23 02:00:38,767] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.topk
2022-11-23T02:04:39.8645603Z [2022-11-23 02:00:38,771] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5u/c5udxjcz6iqxkimdsm5mpsirwkjk6dcqkkildk56ltptyiv6ac5n.py
2022-11-23T02:04:39.8645943Z [2022-11-23 02:00:38,772] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 326
2022-11-23T02:04:39.8645989Z 
2022-11-23T02:04:39.8646108Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8646221Z import torch
2022-11-23T02:04:39.8646328Z import random
2022-11-23T02:04:39.8646497Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8646674Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8646695Z 
2022-11-23T02:04:39.8646817Z aten = torch.ops.aten
2022-11-23T02:04:39.8647011Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8647127Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8647145Z 
2022-11-23T02:04:39.8647186Z 
2022-11-23T02:04:39.8647304Z async_compile.wait(globals())
2022-11-23T02:04:39.8647416Z del async_compile
2022-11-23T02:04:39.8647435Z 
2022-11-23T02:04:39.8647545Z def call(args):
2022-11-23T02:04:39.8647657Z     arg0_1, = args
2022-11-23T02:04:39.8647766Z     args.clear()
2022-11-23T02:04:39.8647949Z     buf0 = aten.topk(arg0_1, 2)
2022-11-23T02:04:39.8648040Z     del arg0_1
2022-11-23T02:04:39.8648150Z     buf1 = buf0[0]
2022-11-23T02:04:39.8648315Z     assert_size_stride(buf1, (1, 1, 8, 2), (16, 16, 2, 1))
2022-11-23T02:04:39.8648424Z     buf2 = buf0[1]
2022-11-23T02:04:39.8648577Z     assert_size_stride(buf2, (1, 1, 8, 2), (16, 16, 2, 1))
2022-11-23T02:04:39.8648682Z     del buf0
2022-11-23T02:04:39.8648805Z     return (buf1, buf2, )
2022-11-23T02:04:39.8648824Z 
2022-11-23T02:04:39.8648842Z 
2022-11-23T02:04:39.8648964Z if __name__ == "__main__":
2022-11-23T02:04:39.8649106Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8649294Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8649607Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8649771Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.8649791Z 
2022-11-23T02:04:39.8649896Z ok (0.039s)
2022-11-23T02:04:39.8650330Z   test_transpose_add_cpu (__main__.CpuTests) ... [2022-11-23 02:00:38,779] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8650764Z [2022-11-23 02:00:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8651066Z [2022-11-23 02:00:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8651391Z [2022-11-23 02:00:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8651766Z [2022-11-23 02:00:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8652200Z [2022-11-23 02:00:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8652665Z [2022-11-23 02:00:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8653104Z [2022-11-23 02:00:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8653622Z [2022-11-23 02:00:38,780] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fbbd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2335> 
2022-11-23T02:04:39.8653767Z  2336           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.8653883Z                2 LOAD_METHOD              0 (t)
2022-11-23T02:04:39.8654019Z                4 CALL_METHOD              0
2022-11-23T02:04:39.8654265Z                6 LOAD_FAST                1 (b)
2022-11-23T02:04:39.8654384Z                8 BINARY_ADD
2022-11-23T02:04:39.8654502Z               10 RETURN_VALUE
2022-11-23T02:04:39.8654598Z  
2022-11-23T02:04:39.8654618Z 
2022-11-23T02:04:39.8655062Z [2022-11-23 02:00:38,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2336
2022-11-23T02:04:39.8655356Z [2022-11-23 02:00:38,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.8655664Z [2022-11-23 02:00:38,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR t [TensorVariable()]
2022-11-23T02:04:39.8656623Z [2022-11-23 02:00:38,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), t)]
2022-11-23T02:04:39.8657249Z [2022-11-23 02:00:38,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:39.8657897Z [2022-11-23 02:00:38,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8658368Z [2022-11-23 02:00:38,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.8659021Z [2022-11-23 02:00:38,784] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fbbd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2335>
2022-11-23T02:04:39.8659371Z [2022-11-23 02:00:38,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.8659695Z [2022-11-23 02:00:38,784] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.8660041Z [2022-11-23 02:00:38,786] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.8660356Z [2022-11-23 02:00:38,791] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.8660628Z [2022-11-23 02:00:38,792] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8660822Z  __compiled_fn_335 <eval_with_key>.2484 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8660957Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.8661093Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.8661219Z call_method, t, t, (ex_0_,), {}
2022-11-23T02:04:39.8661486Z call_function, add, <built-in function add>, (t, ex_1_), {}
2022-11-23T02:04:39.8661631Z output, output, output, ((add,),), {}
2022-11-23T02:04:39.8661654Z 
2022-11-23T02:04:39.8662106Z [2022-11-23 02:00:38,792] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8662310Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.8662524Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8662710Z               4 BUILD_MAP                0
2022-11-23T02:04:39.8662901Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.8663074Z               8 DICT_MERGE               1
2022-11-23T02:04:39.8663208Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.8663328Z              12 RETURN_VALUE
2022-11-23T02:04:39.8663348Z 
2022-11-23T02:04:39.8663422Z  
2022-11-23T02:04:39.8663910Z [2022-11-23 02:00:38,792] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8664095Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_335)
2022-11-23T02:04:39.8664246Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8664381Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8664504Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.8664637Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8664744Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8664912Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.8665197Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.8665372Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.8665528Z              18 RETURN_VALUE
2022-11-23T02:04:39.8665565Z 
2022-11-23T02:04:39.8665721Z  
2022-11-23T02:04:39.8666022Z [2022-11-23 02:00:38,794] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8666110Z  - 
2022-11-23T02:04:39.8666288Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.8666392Z             {
2022-11-23T02:04:39.8666594Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.8666855Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.8667033Z                 'obj_weakref': None
2022-11-23T02:04:39.8667353Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.8667460Z             }
2022-11-23T02:04:39.8667537Z             
2022-11-23T02:04:39.8667650Z  - 
2022-11-23T02:04:39.8667830Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.8667937Z             {
2022-11-23T02:04:39.8668140Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8668298Z                 'code': None,
2022-11-23T02:04:39.8668617Z                 'obj_weakref': <weakref at 0x7fa53c4a8180; to 'Tensor' at 0x7fa55003e660>
2022-11-23T02:04:39.8668972Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8669074Z             }
2022-11-23T02:04:39.8669173Z             
2022-11-23T02:04:39.8669285Z  - 
2022-11-23T02:04:39.8669463Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.8669564Z             {
2022-11-23T02:04:39.8669742Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8669905Z                 'code': None,
2022-11-23T02:04:39.8670200Z                 'obj_weakref': <weakref at 0x7fa53c4ab6f0; to 'Tensor' at 0x7fa55003c770>
2022-11-23T02:04:39.8670545Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8670651Z             }
2022-11-23T02:04:39.8670754Z             
2022-11-23T02:04:39.8670862Z  - 
2022-11-23T02:04:39.8671027Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.8671127Z             {
2022-11-23T02:04:39.8671320Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.8671559Z                 'code': ['___check_obj_id(model, 140347657938416)'],
2022-11-23T02:04:39.8671734Z                 'obj_weakref': None
2022-11-23T02:04:39.8672050Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.8672153Z             }
2022-11-23T02:04:39.8672255Z             
2022-11-23T02:04:39.8672348Z  - 
2022-11-23T02:04:39.8672518Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.8672619Z             {
2022-11-23T02:04:39.8672813Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.8673111Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.8673287Z                 'obj_weakref': None
2022-11-23T02:04:39.8673592Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.8673674Z             }
2022-11-23T02:04:39.8673775Z             
2022-11-23T02:04:39.8674188Z [2022-11-23 02:00:38,804] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 327
2022-11-23T02:04:39.8674680Z [2022-11-23 02:00:41,543] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j4/cj4qgmywcgqem65nfpycqphyhidex6zervgvw4sk7fg3txbvc32g.py
2022-11-23T02:04:39.8675045Z [2022-11-23 02:00:41,543] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 327
2022-11-23T02:04:39.8675065Z 
2022-11-23T02:04:39.8675211Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8675323Z import torch
2022-11-23T02:04:39.8675432Z import random
2022-11-23T02:04:39.8675645Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8675821Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8675841Z 
2022-11-23T02:04:39.8675962Z aten = torch.ops.aten
2022-11-23T02:04:39.8676160Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8676304Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8676323Z 
2022-11-23T02:04:39.8676341Z 
2022-11-23T02:04:39.8676540Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.8676821Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.8676993Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.8677125Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.8677276Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.8677373Z {
2022-11-23T02:04:39.8677520Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.8677622Z     {
2022-11-23T02:04:39.8677748Z         #pragma omp for 
2022-11-23T02:04:39.8677875Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T02:04:39.8677953Z         {
2022-11-23T02:04:39.8678075Z             #pragma GCC ivdep
2022-11-23T02:04:39.8678205Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T02:04:39.8678394Z             {
2022-11-23T02:04:39.8678505Z                 {
2022-11-23T02:04:39.8678617Z                     {
2022-11-23T02:04:39.8678749Z                         auto tmp0 = in_ptr0[i0 + (32*i1)];
2022-11-23T02:04:39.8678901Z                         auto tmp1 = in_ptr1[i1 + (16*i0)];
2022-11-23T02:04:39.8679045Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.8679189Z                         out_ptr0[i1 + (16*i0)] = tmp2;
2022-11-23T02:04:39.8679294Z                     }
2022-11-23T02:04:39.8679398Z                 }
2022-11-23T02:04:39.8679498Z             }
2022-11-23T02:04:39.8679575Z         }
2022-11-23T02:04:39.8679676Z     }
2022-11-23T02:04:39.8679771Z }
2022-11-23T02:04:39.8679906Z ''')
2022-11-23T02:04:39.8679928Z 
2022-11-23T02:04:39.8679946Z 
2022-11-23T02:04:39.8680085Z async_compile.wait(globals())
2022-11-23T02:04:39.8680199Z del async_compile
2022-11-23T02:04:39.8680219Z 
2022-11-23T02:04:39.8680331Z def call(args):
2022-11-23T02:04:39.8680432Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.8680548Z     args.clear()
2022-11-23T02:04:39.8680829Z     buf0 = empty_strided((32, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8681062Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.8681166Z     del arg0_1
2022-11-23T02:04:39.8681270Z     del arg1_1
2022-11-23T02:04:39.8681380Z     return (buf0, )
2022-11-23T02:04:39.8681399Z 
2022-11-23T02:04:39.8681417Z 
2022-11-23T02:04:39.8681534Z if __name__ == "__main__":
2022-11-23T02:04:39.8681681Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8681864Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8682150Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8682425Z     arg1_1 = rand_strided((32, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8682593Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.8682618Z 
2022-11-23T02:04:39.8682725Z ok (2.772s)
2022-11-23T02:04:39.8683150Z   test_transpose_cpu (__main__.CpuTests) ... [2022-11-23 02:00:41,551] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8683580Z [2022-11-23 02:00:41,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8683856Z [2022-11-23 02:00:41,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8684203Z [2022-11-23 02:00:41,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8684583Z [2022-11-23 02:00:41,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8685088Z [2022-11-23 02:00:41,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8685562Z [2022-11-23 02:00:41,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8686004Z [2022-11-23 02:00:41,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8686516Z [2022-11-23 02:00:41,552] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641131a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1242> 
2022-11-23T02:04:39.8686669Z  1244           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8686810Z                2 LOAD_METHOD              1 (t)
2022-11-23T02:04:39.8687013Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.8687129Z                6 CALL_METHOD              1
2022-11-23T02:04:39.8687266Z                8 LOAD_FAST                1 (b)
2022-11-23T02:04:39.8687453Z               10 BINARY_ADD
2022-11-23T02:04:39.8687475Z 
2022-11-23T02:04:39.8687625Z 1245          12 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8687776Z               14 LOAD_METHOD              2 (transpose)
2022-11-23T02:04:39.8687914Z               16 LOAD_FAST                1 (b)
2022-11-23T02:04:39.8688052Z               18 LOAD_CONST               1 (2)
2022-11-23T02:04:39.8688155Z               20 BINARY_MULTIPLY
2022-11-23T02:04:39.8688294Z               22 LOAD_CONST               2 (0)
2022-11-23T02:04:39.8688428Z               24 LOAD_CONST               3 (1)
2022-11-23T02:04:39.8688561Z               26 CALL_METHOD              3
2022-11-23T02:04:39.8688698Z               28 LOAD_CONST               4 (10)
2022-11-23T02:04:39.8688814Z               30 BINARY_ADD
2022-11-23T02:04:39.8688834Z 
2022-11-23T02:04:39.8688975Z 1243          32 BUILD_TUPLE              2
2022-11-23T02:04:39.8689089Z               34 RETURN_VALUE
2022-11-23T02:04:39.8689163Z  
2022-11-23T02:04:39.8689182Z 
2022-11-23T02:04:39.8689627Z [2022-11-23 02:00:41,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1244
2022-11-23T02:04:39.8689932Z [2022-11-23 02:00:41,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8690417Z [2022-11-23 02:00:41,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR t [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8690848Z [2022-11-23 02:00:41,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method t of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.8691317Z [2022-11-23 02:00:41,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method t of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.8691649Z [2022-11-23 02:00:41,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:39.8692024Z [2022-11-23 02:00:41,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8692444Z [2022-11-23 02:00:41,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1245
2022-11-23T02:04:39.8692780Z [2022-11-23 02:00:41,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.8693299Z [2022-11-23 02:00:41,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR transpose [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8693865Z [2022-11-23 02:00:41,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.8694384Z [2022-11-23 02:00:41,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.8694972Z [2022-11-23 02:00:41,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8695489Z [2022-11-23 02:00:41,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.8696567Z [2022-11-23 02:00:41,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8697911Z [2022-11-23 02:00:41,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.8698404Z [2022-11-23 02:00:41,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8698824Z [2022-11-23 02:00:41,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8699251Z [2022-11-23 02:00:41,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1243
2022-11-23T02:04:39.8699621Z [2022-11-23 02:00:41,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8699968Z [2022-11-23 02:00:41,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8700480Z [2022-11-23 02:00:41,563] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641131a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1242>
2022-11-23T02:04:39.8700791Z [2022-11-23 02:00:41,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8701118Z [2022-11-23 02:00:41,564] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.8701471Z [2022-11-23 02:00:41,566] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.8701816Z [2022-11-23 02:00:41,574] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.8702078Z [2022-11-23 02:00:41,574] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8702281Z  __compiled_fn_336 <eval_with_key>.2490 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8702414Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.8702547Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:39.8702826Z call_function, t, <built-in method t of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.8703075Z call_function, add, <built-in function add>, (t, ex_1_), {}
2022-11-23T02:04:39.8703319Z call_function, mul, <built-in function mul>, (ex_1_, 2), {}
2022-11-23T02:04:39.8703662Z call_function, transpose, <built-in method transpose of type object at 0x7fa5855aec60>, (mul, 0, 1), {}
2022-11-23T02:04:39.8703926Z call_function, add_1, <built-in function add>, (transpose, 10), {}
2022-11-23T02:04:39.8704081Z output, output, output, ((add, add_1),), {}
2022-11-23T02:04:39.8704110Z 
2022-11-23T02:04:39.8704554Z [2022-11-23 02:00:41,575] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8704816Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.8704957Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8705065Z               4 BUILD_MAP                0
2022-11-23T02:04:39.8705211Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.8705348Z               8 DICT_MERGE               1
2022-11-23T02:04:39.8705482Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.8705603Z              12 RETURN_VALUE
2022-11-23T02:04:39.8705623Z 
2022-11-23T02:04:39.8705721Z  
2022-11-23T02:04:39.8706161Z [2022-11-23 02:00:41,575] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8706297Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_336)
2022-11-23T02:04:39.8706435Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8706577Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8706705Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.8706839Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8706970Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8707140Z              12 BINARY_SUBSCR
2022-11-23T02:04:39.8707256Z              14 CALL_FUNCTION            2
2022-11-23T02:04:39.8707414Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.8707564Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8707699Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8707817Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.8707968Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8708097Z              26 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8708212Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.8708320Z              30 BUILD_TUPLE              2
2022-11-23T02:04:39.8708447Z              32 RETURN_VALUE
2022-11-23T02:04:39.8708467Z 
2022-11-23T02:04:39.8708563Z  
2022-11-23T02:04:39.8708828Z [2022-11-23 02:00:41,576] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8708940Z  - 
2022-11-23T02:04:39.8709115Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.8709220Z             {
2022-11-23T02:04:39.8709401Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.8709666Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:39.8709837Z                 'obj_weakref': None
2022-11-23T02:04:39.8710147Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.8710250Z             }
2022-11-23T02:04:39.8710351Z             
2022-11-23T02:04:39.8710463Z  - 
2022-11-23T02:04:39.8710622Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.8710726Z             {
2022-11-23T02:04:39.8710931Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8711096Z                 'code': None,
2022-11-23T02:04:39.8711393Z                 'obj_weakref': <weakref at 0x7fa53c394ae0; to 'Tensor' at 0x7fa53c48c040>
2022-11-23T02:04:39.8711743Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8711849Z             }
2022-11-23T02:04:39.8711925Z             
2022-11-23T02:04:39.8712035Z  - 
2022-11-23T02:04:39.8712215Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:39.8712318Z             {
2022-11-23T02:04:39.8712527Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8712689Z                 'code': None,
2022-11-23T02:04:39.8712981Z                 'obj_weakref': <weakref at 0x7fa53c4758f0; to 'Tensor' at 0x7fa51c53f060>
2022-11-23T02:04:39.8713307Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8713410Z             }
2022-11-23T02:04:39.8713515Z             
2022-11-23T02:04:39.8713692Z  - 
2022-11-23T02:04:39.8713881Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.8713983Z             {
2022-11-23T02:04:39.8714177Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.8714397Z                 'code': ['___check_obj_id(model, 140347657938416)'],
2022-11-23T02:04:39.8714575Z                 'obj_weakref': None
2022-11-23T02:04:39.8714885Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.8714989Z             }
2022-11-23T02:04:39.8715090Z             
2022-11-23T02:04:39.8715204Z  - 
2022-11-23T02:04:39.8715380Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.8715457Z             {
2022-11-23T02:04:39.8715652Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.8715949Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.8716121Z                 'obj_weakref': None
2022-11-23T02:04:39.8716435Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.8716535Z             }
2022-11-23T02:04:39.8716636Z             
2022-11-23T02:04:39.8716724Z  - 
2022-11-23T02:04:39.8716914Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.8717076Z             {
2022-11-23T02:04:39.8717258Z                 'guard_types': None,
2022-11-23T02:04:39.8717415Z                 'code': None,
2022-11-23T02:04:39.8717582Z                 'obj_weakref': None
2022-11-23T02:04:39.8717758Z                 'guarded_class': None
2022-11-23T02:04:39.8717836Z             }
2022-11-23T02:04:39.8717932Z             
2022-11-23T02:04:39.8718301Z [2022-11-23 02:00:41,591] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 328
2022-11-23T02:04:39.8718792Z [2022-11-23 02:00:44,257] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qb/cqbj34onw2rqrg73t3vyt4xkzd75kl5rtjgxdbfeejojnypqbfi7.py
2022-11-23T02:04:39.8719162Z [2022-11-23 02:00:44,257] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 328
2022-11-23T02:04:39.8719182Z 
2022-11-23T02:04:39.8719320Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8719434Z import torch
2022-11-23T02:04:39.8719523Z import random
2022-11-23T02:04:39.8719693Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8719873Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8719893Z 
2022-11-23T02:04:39.8720013Z aten = torch.ops.aten
2022-11-23T02:04:39.8720208Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8720349Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8720368Z 
2022-11-23T02:04:39.8720387Z 
2022-11-23T02:04:39.8720593Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.8720878Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.8721050Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.8721188Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.8721338Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.8721481Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.8721582Z {
2022-11-23T02:04:39.8721732Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.8721832Z     {
2022-11-23T02:04:39.8721931Z         #pragma omp for 
2022-11-23T02:04:39.8722061Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.8722163Z         {
2022-11-23T02:04:39.8722285Z             #pragma GCC ivdep
2022-11-23T02:04:39.8722413Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T02:04:39.8722513Z             {
2022-11-23T02:04:39.8722614Z                 {
2022-11-23T02:04:39.8722699Z                     {
2022-11-23T02:04:39.8722847Z                         auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T02:04:39.8722991Z                         auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T02:04:39.8723231Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.8723377Z                         out_ptr0[i1 + (8*i0)] = tmp2;
2022-11-23T02:04:39.8723480Z                     }
2022-11-23T02:04:39.8723583Z                 }
2022-11-23T02:04:39.8723660Z             }
2022-11-23T02:04:39.8723764Z         }
2022-11-23T02:04:39.8723889Z         #pragma omp for 
2022-11-23T02:04:39.8724018Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.8724123Z         {
2022-11-23T02:04:39.8724362Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.8724558Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:39.8724665Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.8724860Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T02:04:39.8724991Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.8725136Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.8725242Z         }
2022-11-23T02:04:39.8725382Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.8725509Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.8725584Z         {
2022-11-23T02:04:39.8725711Z             auto tmp0 = in_ptr1[i0];
2022-11-23T02:04:39.8725989Z             auto tmp1 = static_cast<float>(2);
2022-11-23T02:04:39.8726127Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:39.8726276Z             auto tmp3 = static_cast<float>(10);
2022-11-23T02:04:39.8726404Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.8726530Z             out_ptr1[i0] = tmp4;
2022-11-23T02:04:39.8726606Z         }
2022-11-23T02:04:39.8726710Z     }
2022-11-23T02:04:39.8726808Z }
2022-11-23T02:04:39.8726943Z ''')
2022-11-23T02:04:39.8726966Z 
2022-11-23T02:04:39.8726984Z 
2022-11-23T02:04:39.8727123Z async_compile.wait(globals())
2022-11-23T02:04:39.8727236Z del async_compile
2022-11-23T02:04:39.8727255Z 
2022-11-23T02:04:39.8727365Z def call(args):
2022-11-23T02:04:39.8727481Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.8727574Z     args.clear()
2022-11-23T02:04:39.8727851Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8728122Z     buf1 = empty_strided((8, 8), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8728391Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.8728499Z     del arg0_1
2022-11-23T02:04:39.8728604Z     del arg1_1
2022-11-23T02:04:39.8728725Z     return (buf0, buf1, )
2022-11-23T02:04:39.8728744Z 
2022-11-23T02:04:39.8728762Z 
2022-11-23T02:04:39.8728858Z if __name__ == "__main__":
2022-11-23T02:04:39.8729024Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8729206Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8729477Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8729747Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8729923Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.8729943Z 
2022-11-23T02:04:39.8730047Z ok (2.714s)
2022-11-23T02:04:39.8730504Z   test_transposed_propagates_cpu (__main__.CpuTests) ... [2022-11-23 02:00:44,266] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:39.8730939Z [2022-11-23 02:00:44,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2206
2022-11-23T02:04:39.8731207Z [2022-11-23 02:00:44,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.8731536Z [2022-11-23 02:00:44,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:39.8731915Z [2022-11-23 02:00:44,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8732260Z [2022-11-23 02:00:44,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.8732655Z [2022-11-23 02:00:44,269] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:39.8732998Z [2022-11-23 02:00:44,270] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.8733330Z [2022-11-23 02:00:44,277] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.8733597Z [2022-11-23 02:00:44,277] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8733767Z  __compiled_fn_337 <eval_with_key>.2496 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8733898Z placeholder, x, x, (), {}
2022-11-23T02:04:39.8734024Z placeholder, y, y, (), {}
2022-11-23T02:04:39.8734256Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T02:04:39.8734404Z output, output, output, ((add,),), {}
2022-11-23T02:04:39.8734423Z 
2022-11-23T02:04:39.8734868Z [2022-11-23 02:00:44,278] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2204 
2022-11-23T02:04:39.8735014Z 2206           0 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8735152Z                2 LOAD_FAST                1 (y)
2022-11-23T02:04:39.8735300Z                4 BINARY_ADD
2022-11-23T02:04:39.8735428Z                6 RETURN_VALUE
2022-11-23T02:04:39.8735447Z 
2022-11-23T02:04:39.8735545Z  
2022-11-23T02:04:39.8735991Z [2022-11-23 02:00:44,278] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2204 
2022-11-23T02:04:39.8736838Z 2204           0 LOAD_GLOBAL              0 (__compiled_fn_337)
2022-11-23T02:04:39.8737064Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8737250Z                4 LOAD_FAST                1 (y)
2022-11-23T02:04:39.8737388Z                6 CALL_FUNCTION            2
2022-11-23T02:04:39.8737505Z                8 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.8737628Z               10 RETURN_VALUE
2022-11-23T02:04:39.8737647Z 
2022-11-23T02:04:39.8737743Z  
2022-11-23T02:04:39.8738020Z [2022-11-23 02:00:44,278] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8738133Z  - 
2022-11-23T02:04:39.8738315Z             local 'x' TENSOR_MATCH
2022-11-23T02:04:39.8738418Z             {
2022-11-23T02:04:39.8738602Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8738761Z                 'code': None,
2022-11-23T02:04:39.8739057Z                 'obj_weakref': <weakref at 0x7fa5321f36f0; to 'Tensor' at 0x7fa53c4aa840>
2022-11-23T02:04:39.8739402Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8739507Z             }
2022-11-23T02:04:39.8739612Z             
2022-11-23T02:04:39.8739722Z  - 
2022-11-23T02:04:39.8739870Z             local 'y' TENSOR_MATCH
2022-11-23T02:04:39.8739972Z             {
2022-11-23T02:04:39.8740178Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8740335Z                 'code': None,
2022-11-23T02:04:39.8740621Z                 'obj_weakref': <weakref at 0x7fa53c43c630; to 'Tensor' at 0x7fa531fc1580>
2022-11-23T02:04:39.8740964Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8741067Z             }
2022-11-23T02:04:39.8741144Z             
2022-11-23T02:04:39.8741499Z [2022-11-23 02:00:44,289] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 329
2022-11-23T02:04:39.8741991Z [2022-11-23 02:00:46,869] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ji/cjijfbwmvc7e4zvwhffidwoj4bbl772s3mzd4nj4hf3aavboiok7.py
2022-11-23T02:04:39.8742354Z [2022-11-23 02:00:46,870] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 329
2022-11-23T02:04:39.8742374Z 
2022-11-23T02:04:39.8742516Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8742809Z import torch
2022-11-23T02:04:39.8742920Z import random
2022-11-23T02:04:39.8743089Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8743242Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8743286Z 
2022-11-23T02:04:39.8743389Z aten = torch.ops.aten
2022-11-23T02:04:39.8743585Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8743724Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8743744Z 
2022-11-23T02:04:39.8743762Z 
2022-11-23T02:04:39.8743960Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.8744243Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.8744414Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.8744569Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:39.8744693Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:39.8744798Z {
2022-11-23T02:04:39.8744948Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.8745046Z     {
2022-11-23T02:04:39.8745163Z         #pragma omp for 
2022-11-23T02:04:39.8745289Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.8745385Z         {
2022-11-23T02:04:39.8745672Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.8745870Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:39.8745999Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.8746139Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.8746242Z         }
2022-11-23T02:04:39.8746383Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.8746506Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T02:04:39.8746583Z         {
2022-11-23T02:04:39.8746713Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.8746838Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:39.8746961Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.8747091Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.8747193Z         }
2022-11-23T02:04:39.8747290Z     }
2022-11-23T02:04:39.8747362Z }
2022-11-23T02:04:39.8747489Z ''')
2022-11-23T02:04:39.8747509Z 
2022-11-23T02:04:39.8747527Z 
2022-11-23T02:04:39.8747667Z async_compile.wait(globals())
2022-11-23T02:04:39.8747781Z del async_compile
2022-11-23T02:04:39.8747800Z 
2022-11-23T02:04:39.8747912Z def call(args):
2022-11-23T02:04:39.8748029Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.8748140Z     args.clear()
2022-11-23T02:04:39.8748438Z     buf0 = empty_strided((1, 4, 4, 4), (64, 4, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8748647Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:39.8748758Z     del arg0_1
2022-11-23T02:04:39.8748868Z     del arg1_1
2022-11-23T02:04:39.8748982Z     return (buf0, )
2022-11-23T02:04:39.8749001Z 
2022-11-23T02:04:39.8749019Z 
2022-11-23T02:04:39.8749139Z if __name__ == "__main__":
2022-11-23T02:04:39.8749313Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8749494Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8749770Z     arg0_1 = rand_strided((1, 4, 4, 4), (64, 4, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8750060Z     arg1_1 = rand_strided((4, 4, 4), (4, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8750226Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.8750245Z 
2022-11-23T02:04:39.8750352Z ok (2.612s)
2022-11-23T02:04:39.8750551Z   test_triton_conv_cpu (__main__.CpuTests) ... skip: requires cuda (0.002s)
2022-11-23T02:04:39.8750970Z   test_triton_mm2_cpu (__main__.CpuTests) ... [2022-11-23 02:00:46,907] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T02:04:39.8751410Z [2022-11-23 02:00:46,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2272
2022-11-23T02:04:39.8751779Z [2022-11-23 02:00:46,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8752279Z [2022-11-23 02:00:46,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8752722Z [2022-11-23 02:00:46,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(<built-in method relu of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.8753334Z [2022-11-23 02:00:46,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<built-in method relu of type object at 0x7fa5855aec60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8753906Z [2022-11-23 02:00:46,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method relu of type object at 0x7fa5855aec60>), TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.8754565Z [2022-11-23 02:00:46,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method relu of type object at 0x7fa5855aec60>), TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.8755221Z [2022-11-23 02:00:46,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method relu of type object at 0x7fa5855aec60>), TorchVariable(<built-in method mm of type object at 0x7fa5855aec60>), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8755702Z [2022-11-23 02:00:46,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.8756044Z [2022-11-23 02:00:46,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:39.8756371Z [2022-11-23 02:00:46,912] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T02:04:39.8756709Z [2022-11-23 02:00:46,914] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:39.8757046Z [2022-11-23 02:00:46,920] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:39.8757310Z [2022-11-23 02:00:46,920] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8757504Z  __compiled_fn_338 <eval_with_key>.2502 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8757609Z placeholder, x, x, (), {}
2022-11-23T02:04:39.8757735Z placeholder, y, y, (), {}
2022-11-23T02:04:39.8758034Z call_function, mm, <built-in method mm of type object at 0x7fa5855aec60>, (x, y), {}
2022-11-23T02:04:39.8758341Z call_function, relu, <built-in method relu of type object at 0x7fa5855aec60>, (mm,), {}
2022-11-23T02:04:39.8758486Z output, output, output, ((relu,),), {}
2022-11-23T02:04:39.8758506Z 
2022-11-23T02:04:39.8758950Z [2022-11-23 02:00:46,921] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2270 
2022-11-23T02:04:39.8759096Z 2272           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8759241Z                2 LOAD_METHOD              1 (relu)
2022-11-23T02:04:39.8759355Z                4 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8759498Z                6 LOAD_METHOD              2 (mm)
2022-11-23T02:04:39.8759631Z                8 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8759768Z               10 LOAD_FAST                1 (y)
2022-11-23T02:04:39.8759907Z               12 CALL_METHOD              2
2022-11-23T02:04:39.8760036Z               14 CALL_METHOD              1
2022-11-23T02:04:39.8760155Z               16 RETURN_VALUE
2022-11-23T02:04:39.8760174Z 
2022-11-23T02:04:39.8760276Z  
2022-11-23T02:04:39.8760693Z [2022-11-23 02:00:46,921] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2270 
2022-11-23T02:04:39.8760930Z 2270           0 LOAD_GLOBAL              3 (__compiled_fn_338)
2022-11-23T02:04:39.8761063Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8761204Z                4 LOAD_FAST                1 (y)
2022-11-23T02:04:39.8761339Z                6 CALL_FUNCTION            2
2022-11-23T02:04:39.8761474Z                8 UNPACK_SEQUENCE          1
2022-11-23T02:04:39.8761588Z               10 RETURN_VALUE
2022-11-23T02:04:39.8761607Z 
2022-11-23T02:04:39.8761680Z  
2022-11-23T02:04:39.8761938Z [2022-11-23 02:00:46,922] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8762048Z  - 
2022-11-23T02:04:39.8762220Z             local 'x' TENSOR_MATCH
2022-11-23T02:04:39.8762329Z             {
2022-11-23T02:04:39.8762536Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8762700Z                 'code': None,
2022-11-23T02:04:39.8762969Z                 'obj_weakref': <weakref at 0x7fa5321f09a0; to 'Tensor' at 0x7fa53218c0e0>
2022-11-23T02:04:39.8763327Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8763436Z             }
2022-11-23T02:04:39.8763536Z             
2022-11-23T02:04:39.8763707Z  - 
2022-11-23T02:04:39.8763891Z             local 'y' TENSOR_MATCH
2022-11-23T02:04:39.8763992Z             {
2022-11-23T02:04:39.8764169Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8764325Z                 'code': None,
2022-11-23T02:04:39.8764608Z                 'obj_weakref': <weakref at 0x7fa532241800; to 'Tensor' at 0x7fa53218fb00>
2022-11-23T02:04:39.8764948Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8765052Z             }
2022-11-23T02:04:39.8765153Z             
2022-11-23T02:04:39.8765264Z  - 
2022-11-23T02:04:39.8765429Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.8765536Z             {
2022-11-23T02:04:39.8765714Z                 'guard_types': None,
2022-11-23T02:04:39.8765872Z                 'code': None,
2022-11-23T02:04:39.8766044Z                 'obj_weakref': None
2022-11-23T02:04:39.8766221Z                 'guarded_class': None
2022-11-23T02:04:39.8766325Z             }
2022-11-23T02:04:39.8766403Z             
2022-11-23T02:04:39.8766762Z [2022-11-23 02:00:46,935] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 330
2022-11-23T02:04:39.8767253Z [2022-11-23 02:00:49,563] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kc/ckc3ohhb6we74gw7qf5gldwd5qdpvm4p6pb7twwy7sc7myjs5vuh.py
2022-11-23T02:04:39.8767615Z [2022-11-23 02:00:49,563] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 330
2022-11-23T02:04:39.8767635Z 
2022-11-23T02:04:39.8767781Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8767890Z import torch
2022-11-23T02:04:39.8768000Z import random
2022-11-23T02:04:39.8768173Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8768326Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8768346Z 
2022-11-23T02:04:39.8768465Z aten = torch.ops.aten
2022-11-23T02:04:39.8768660Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8768801Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8768820Z 
2022-11-23T02:04:39.8768838Z 
2022-11-23T02:04:39.8769039Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.8769323Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.8769489Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T02:04:39.8769587Z {
2022-11-23T02:04:39.8769709Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.8769809Z     {
2022-11-23T02:04:39.8769930Z         #pragma omp for 
2022-11-23T02:04:39.8770060Z         for(long i0=0; i0<131072; i0+=1)
2022-11-23T02:04:39.8770161Z         {
2022-11-23T02:04:39.8770447Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.8770631Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T02:04:39.8770752Z             tmp1.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:39.8770857Z         }
2022-11-23T02:04:39.8771002Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.8771143Z         for(long i0=1048576; i0<1048576; i0+=1)
2022-11-23T02:04:39.8771242Z         {
2022-11-23T02:04:39.8771376Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T02:04:39.8771511Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T02:04:39.8771614Z             in_out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.8771719Z         }
2022-11-23T02:04:39.8771818Z     }
2022-11-23T02:04:39.8771914Z }
2022-11-23T02:04:39.8772044Z ''')
2022-11-23T02:04:39.8772064Z 
2022-11-23T02:04:39.8772083Z 
2022-11-23T02:04:39.8772216Z async_compile.wait(globals())
2022-11-23T02:04:39.8772330Z del async_compile
2022-11-23T02:04:39.8772352Z 
2022-11-23T02:04:39.8772442Z def call(args):
2022-11-23T02:04:39.8772560Z     arg0_1, arg1_1 = args
2022-11-23T02:04:39.8772670Z     args.clear()
2022-11-23T02:04:39.8772964Z     buf0 = empty_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8773164Z     aten.mm.out(arg0_1, arg1_1, out=buf0)
2022-11-23T02:04:39.8773279Z     del arg0_1
2022-11-23T02:04:39.8773383Z     del arg1_1
2022-11-23T02:04:39.8773488Z     buf1 = buf0; del buf0  # reuse
2022-11-23T02:04:39.8773639Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.8773753Z     return (buf1, )
2022-11-23T02:04:39.8773773Z 
2022-11-23T02:04:39.8773791Z 
2022-11-23T02:04:39.8773909Z if __name__ == "__main__":
2022-11-23T02:04:39.8774073Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8774256Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8774553Z     arg0_1 = rand_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8774842Z     arg1_1 = rand_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8774990Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:39.8775032Z 
2022-11-23T02:04:39.8775115Z ok (2.704s)
2022-11-23T02:04:39.8775529Z   test_triu_cpu (__main__.CpuTests) ... [2022-11-23 02:00:49,583] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8775961Z [2022-11-23 02:00:49,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8776996Z [2022-11-23 02:00:49,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8777630Z [2022-11-23 02:00:49,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8778218Z [2022-11-23 02:00:49,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8778669Z [2022-11-23 02:00:49,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8779144Z [2022-11-23 02:00:49,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8779583Z [2022-11-23 02:00:49,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8780067Z [2022-11-23 02:00:49,584] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f89630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3160> 
2022-11-23T02:04:39.8780212Z  3161           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.8780351Z                2 LOAD_METHOD              1 (triu)
2022-11-23T02:04:39.8780487Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.8780775Z                6 LOAD_CONST               1 (1)
2022-11-23T02:04:39.8780911Z                8 CALL_METHOD              2
2022-11-23T02:04:39.8781050Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.8781191Z               12 LOAD_METHOD              1 (triu)
2022-11-23T02:04:39.8781305Z               14 LOAD_FAST                0 (a)
2022-11-23T02:04:39.8781440Z               16 LOAD_CONST               2 (0)
2022-11-23T02:04:39.8781573Z               18 CALL_METHOD              2
2022-11-23T02:04:39.8781709Z               20 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.8781843Z               22 LOAD_METHOD              1 (triu)
2022-11-23T02:04:39.8781978Z               24 LOAD_FAST                0 (a)
2022-11-23T02:04:39.8782110Z               26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.8782218Z               28 CALL_METHOD              2
2022-11-23T02:04:39.8782354Z               30 BUILD_TUPLE              3
2022-11-23T02:04:39.8782474Z               32 RETURN_VALUE
2022-11-23T02:04:39.8782573Z  
2022-11-23T02:04:39.8782593Z 
2022-11-23T02:04:39.8783030Z [2022-11-23 02:00:49,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3161
2022-11-23T02:04:39.8783407Z [2022-11-23 02:00:49,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.8783833Z [2022-11-23 02:00:49,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.8784179Z [2022-11-23 02:00:49,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.triu)]
2022-11-23T02:04:39.8784557Z [2022-11-23 02:00:49,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.triu), TensorVariable()]
2022-11-23T02:04:39.8784966Z [2022-11-23 02:00:49,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8785312Z [2022-11-23 02:00:49,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.8785760Z [2022-11-23 02:00:49,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.8786140Z [2022-11-23 02:00:49,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.triu)]
2022-11-23T02:04:39.8786560Z [2022-11-23 02:00:49,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.triu), TensorVariable()]
2022-11-23T02:04:39.8787078Z [2022-11-23 02:00:49,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8787456Z [2022-11-23 02:00:49,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8787941Z [2022-11-23 02:00:49,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.8788364Z [2022-11-23 02:00:49,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.triu)]
2022-11-23T02:04:39.8788816Z [2022-11-23 02:00:49,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.triu), TensorVariable()]
2022-11-23T02:04:39.8789319Z [2022-11-23 02:00:49,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8789697Z [2022-11-23 02:00:49,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8790130Z [2022-11-23 02:00:49,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8790638Z [2022-11-23 02:00:49,619] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f89630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3160>
2022-11-23T02:04:39.8790977Z [2022-11-23 02:00:49,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8791299Z [2022-11-23 02:00:49,620] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.8791650Z [2022-11-23 02:00:49,622] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.8791993Z [2022-11-23 02:00:49,630] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.8792265Z [2022-11-23 02:00:49,631] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8792463Z  __compiled_fn_339 <eval_with_key>.2508 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8792577Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.8792734Z call_function, triu, aten.triu, (ex_0_, 1), {}
2022-11-23T02:04:39.8792890Z call_function, triu_1, aten.triu, (ex_0_, 0), {}
2022-11-23T02:04:39.8793095Z call_function, triu_2, aten.triu, (ex_0_, 2), {}
2022-11-23T02:04:39.8793269Z output, output, output, ((triu, triu_1, triu_2),), {}
2022-11-23T02:04:39.8793292Z 
2022-11-23T02:04:39.8793734Z [2022-11-23 02:00:49,631] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8793874Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.8794013Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8794120Z               4 BUILD_MAP                0
2022-11-23T02:04:39.8794260Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.8794388Z               8 DICT_MERGE               1
2022-11-23T02:04:39.8794528Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.8794642Z              12 RETURN_VALUE
2022-11-23T02:04:39.8794661Z 
2022-11-23T02:04:39.8794764Z  
2022-11-23T02:04:39.8795209Z [2022-11-23 02:00:49,631] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8795374Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_339)
2022-11-23T02:04:39.8795487Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8795620Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8795741Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.8795875Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.8796035Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.8796190Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8796326Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8796424Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.8796576Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8796710Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8796828Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.8796979Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8797114Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.8797230Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.8797339Z              30 BUILD_TUPLE              3
2022-11-23T02:04:39.8797455Z              32 RETURN_VALUE
2022-11-23T02:04:39.8797475Z 
2022-11-23T02:04:39.8797568Z  
2022-11-23T02:04:39.8797828Z [2022-11-23 02:00:49,633] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8797940Z  - 
2022-11-23T02:04:39.8798116Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.8798219Z             {
2022-11-23T02:04:39.8798397Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.8798730Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.8798902Z                 'obj_weakref': None
2022-11-23T02:04:39.8799213Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.8799321Z             }
2022-11-23T02:04:39.8799424Z             
2022-11-23T02:04:39.8799535Z  - 
2022-11-23T02:04:39.8799693Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.8799797Z             {
2022-11-23T02:04:39.8800000Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8800153Z                 'code': None,
2022-11-23T02:04:39.8800441Z                 'obj_weakref': <weakref at 0x7fa5323107c0; to 'Tensor' at 0x7fa62380d350>
2022-11-23T02:04:39.8800784Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8800887Z             }
2022-11-23T02:04:39.8800966Z             
2022-11-23T02:04:39.8801080Z  - 
2022-11-23T02:04:39.8801271Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.8801373Z             {
2022-11-23T02:04:39.8801572Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.8801867Z                 'code': ['___check_obj_id(model, 140347657459392)'],
2022-11-23T02:04:39.8802048Z                 'obj_weakref': None
2022-11-23T02:04:39.8802341Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.8802444Z             }
2022-11-23T02:04:39.8802544Z             
2022-11-23T02:04:39.8802661Z  - 
2022-11-23T02:04:39.8802837Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.8802937Z             {
2022-11-23T02:04:39.8803136Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.8803411Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.8803581Z                 'obj_weakref': None
2022-11-23T02:04:39.8803889Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.8803994Z             }
2022-11-23T02:04:39.8804095Z             
2022-11-23T02:04:39.8804207Z  - 
2022-11-23T02:04:39.8804396Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.8804477Z             {
2022-11-23T02:04:39.8804651Z                 'guard_types': None,
2022-11-23T02:04:39.8804810Z                 'code': None,
2022-11-23T02:04:39.8804981Z                 'obj_weakref': None
2022-11-23T02:04:39.8805157Z                 'guarded_class': None
2022-11-23T02:04:39.8805258Z             }
2022-11-23T02:04:39.8805357Z             
2022-11-23T02:04:39.8805691Z [2022-11-23 02:00:49,646] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 331
2022-11-23T02:04:39.8806183Z [2022-11-23 02:00:52,349] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/e2/ce2vn3thfmfwcxs4lmezltv2tc64h6f43nleowscgnyl4yoah3kh.py
2022-11-23T02:04:39.8806663Z [2022-11-23 02:00:52,350] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 331
2022-11-23T02:04:39.8806684Z 
2022-11-23T02:04:39.8806827Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8806936Z import torch
2022-11-23T02:04:39.8807051Z import random
2022-11-23T02:04:39.8807217Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8807393Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8807412Z 
2022-11-23T02:04:39.8807509Z aten = torch.ops.aten
2022-11-23T02:04:39.8807699Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8807845Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8807864Z 
2022-11-23T02:04:39.8807884Z 
2022-11-23T02:04:39.8808090Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.8808376Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.8808548Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.8808785Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.8808930Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.8809048Z                        float* __restrict__ out_ptr2)
2022-11-23T02:04:39.8809146Z {
2022-11-23T02:04:39.8809300Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.8809398Z     {
2022-11-23T02:04:39.8809536Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.8809664Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.8809767Z         {
2022-11-23T02:04:39.8809874Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:39.8809977Z             {
2022-11-23T02:04:39.8810102Z                 #pragma GCC ivdep
2022-11-23T02:04:39.8810236Z                 for(long i2=0; i2<10; i2+=1)
2022-11-23T02:04:39.8810338Z                 {
2022-11-23T02:04:39.8810444Z                     {
2022-11-23T02:04:39.8810549Z                         {
2022-11-23T02:04:39.8810691Z                             auto tmp3 = in_ptr0[i2 + (10*i1) + (100*i0)];
2022-11-23T02:04:39.8810972Z                             auto tmp0 = static_cast<int>((-1) + i2 + ((-1)*i1));
2022-11-23T02:04:39.8811131Z                             auto tmp1 = static_cast<int>(0);
2022-11-23T02:04:39.8811348Z                             auto tmp2 = tmp0 >= tmp1;
2022-11-23T02:04:39.8811514Z                             auto tmp4 = static_cast<float>(0);
2022-11-23T02:04:39.8811667Z                             auto tmp5 = tmp2 ? tmp3 : tmp4;
2022-11-23T02:04:39.8811920Z                             auto tmp6 = static_cast<int>(i2 + ((-1)*i1));
2022-11-23T02:04:39.8812043Z                             auto tmp7 = tmp6 >= tmp1;
2022-11-23T02:04:39.8812199Z                             auto tmp8 = tmp7 ? tmp3 : tmp4;
2022-11-23T02:04:39.8812461Z                             auto tmp9 = static_cast<int>((-2) + i2 + ((-1)*i1));
2022-11-23T02:04:39.8812607Z                             auto tmp10 = tmp9 >= tmp1;
2022-11-23T02:04:39.8812764Z                             auto tmp11 = tmp10 ? tmp3 : tmp4;
2022-11-23T02:04:39.8812926Z                             out_ptr0[i2 + (10*i1) + (100*i0)] = tmp5;
2022-11-23T02:04:39.8813078Z                             out_ptr1[i2 + (10*i1) + (100*i0)] = tmp8;
2022-11-23T02:04:39.8813240Z                             out_ptr2[i2 + (10*i1) + (100*i0)] = tmp11;
2022-11-23T02:04:39.8813324Z                         }
2022-11-23T02:04:39.8813434Z                     }
2022-11-23T02:04:39.8813536Z                 }
2022-11-23T02:04:39.8813636Z             }
2022-11-23T02:04:39.8813741Z         }
2022-11-23T02:04:39.8813842Z     }
2022-11-23T02:04:39.8813914Z }
2022-11-23T02:04:39.8814036Z ''')
2022-11-23T02:04:39.8814056Z 
2022-11-23T02:04:39.8814075Z 
2022-11-23T02:04:39.8814215Z async_compile.wait(globals())
2022-11-23T02:04:39.8814329Z del async_compile
2022-11-23T02:04:39.8814348Z 
2022-11-23T02:04:39.8814458Z def call(args):
2022-11-23T02:04:39.8814568Z     arg0_1, = args
2022-11-23T02:04:39.8814681Z     args.clear()
2022-11-23T02:04:39.8814983Z     buf0 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8815248Z     buf1 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8815535Z     buf2 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8815805Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T02:04:39.8815919Z     del arg0_1
2022-11-23T02:04:39.8816571Z     return (buf0, buf1, buf2, )
2022-11-23T02:04:39.8816599Z 
2022-11-23T02:04:39.8816628Z 
2022-11-23T02:04:39.8816842Z if __name__ == "__main__":
2022-11-23T02:04:39.8817118Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8817410Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8817894Z     arg0_1 = rand_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8818268Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.8818290Z 
2022-11-23T02:04:39.8818396Z ok (2.775s)
2022-11-23T02:04:39.8818826Z   test_unbind_cpu (__main__.CpuTests) ... [2022-11-23 02:00:52,357] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8819261Z [2022-11-23 02:00:52,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8819562Z [2022-11-23 02:00:52,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8819903Z [2022-11-23 02:00:52,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8820285Z [2022-11-23 02:00:52,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8820720Z [2022-11-23 02:00:52,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8821189Z [2022-11-23 02:00:52,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8821672Z [2022-11-23 02:00:52,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8822191Z [2022-11-23 02:00:52,358] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fb8920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1799> 
2022-11-23T02:04:39.8822337Z  1800           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8822482Z                2 LOAD_METHOD              1 (unbind)
2022-11-23T02:04:39.8822623Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.8822757Z                6 CALL_METHOD              1
2022-11-23T02:04:39.8822899Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.8823043Z               10 LOAD_METHOD              1 (unbind)
2022-11-23T02:04:39.8823155Z               12 LOAD_FAST                0 (a)
2022-11-23T02:04:39.8823353Z               14 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8823490Z               16 CALL_METHOD              2
2022-11-23T02:04:39.8823626Z               18 BUILD_TUPLE              2
2022-11-23T02:04:39.8823748Z               20 RETURN_VALUE
2022-11-23T02:04:39.8823849Z  
2022-11-23T02:04:39.8823868Z 
2022-11-23T02:04:39.8824295Z [2022-11-23 02:00:52,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1800
2022-11-23T02:04:39.8824602Z [2022-11-23 02:00:52,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.8825070Z [2022-11-23 02:00:52,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unbind [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8825507Z [2022-11-23 02:00:52,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method unbind of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.8825992Z [2022-11-23 02:00:52,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method unbind of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.8826336Z [2022-11-23 02:00:52,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TupleVariable()]
2022-11-23T02:04:39.8826866Z [2022-11-23 02:00:52,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unbind [TupleVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.8827335Z [2022-11-23 02:00:52,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.8827910Z [2022-11-23 02:00:52,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.8828480Z [2022-11-23 02:00:52,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8828843Z [2022-11-23 02:00:52,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TupleVariable(), TupleVariable()]
2022-11-23T02:04:39.8829189Z [2022-11-23 02:00:52,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8829704Z [2022-11-23 02:00:52,368] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fb8920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1799>
2022-11-23T02:04:39.8830038Z [2022-11-23 02:00:52,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8830344Z [2022-11-23 02:00:52,368] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.8830746Z [2022-11-23 02:00:52,371] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.8831105Z [2022-11-23 02:00:52,377] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.8831372Z [2022-11-23 02:00:52,378] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8831566Z  __compiled_fn_340 <eval_with_key>.2514 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8831704Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.8832023Z call_function, unbind, <built-in method unbind of type object at 0x7fa5855aec60>, (ex_0_,), {}
2022-11-23T02:04:39.8832294Z call_function, getitem, <built-in function getitem>, (unbind, 0), {}
2022-11-23T02:04:39.8832539Z call_function, getitem_1, <built-in function getitem>, (unbind, 1), {}
2022-11-23T02:04:39.8832816Z call_function, getitem_2, <built-in function getitem>, (unbind, 2), {}
2022-11-23T02:04:39.8833079Z call_function, getitem_3, <built-in function getitem>, (unbind, 3), {}
2022-11-23T02:04:39.8833411Z call_function, unbind_1, <built-in method unbind of type object at 0x7fa5855aec60>, (ex_0_, -1), {}
2022-11-23T02:04:39.8833679Z call_function, getitem_4, <built-in function getitem>, (unbind_1, 0), {}
2022-11-23T02:04:39.8833949Z call_function, getitem_5, <built-in function getitem>, (unbind_1, 1), {}
2022-11-23T02:04:39.8834217Z call_function, getitem_6, <built-in function getitem>, (unbind_1, 2), {}
2022-11-23T02:04:39.8834542Z call_function, getitem_7, <built-in function getitem>, (unbind_1, 3), {}
2022-11-23T02:04:39.8834775Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, getitem_4, getitem_5, getitem_6, getitem_7),), {}
2022-11-23T02:04:39.8834822Z 
2022-11-23T02:04:39.8835242Z [2022-11-23 02:00:52,379] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8835392Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.8835530Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8835669Z               4 BUILD_MAP                0
2022-11-23T02:04:39.8835811Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.8835946Z               8 DICT_MERGE               1
2022-11-23T02:04:39.8836083Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.8836177Z              12 RETURN_VALUE
2022-11-23T02:04:39.8836196Z 
2022-11-23T02:04:39.8836297Z  
2022-11-23T02:04:39.8836744Z [2022-11-23 02:00:52,379] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8836913Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_340)
2022-11-23T02:04:39.8837059Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8837281Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8837400Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.8837533Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.8837668Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.8837824Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8837960Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8838087Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.8838240Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8838377Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8838495Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.8838618Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8838753Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.8838871Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.8839024Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8839157Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:39.8839274Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.8839406Z              36 BUILD_TUPLE              4
2022-11-23T02:04:39.8839583Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8839723Z              40 LOAD_CONST               5 (4)
2022-11-23T02:04:39.8839843Z              42 BINARY_SUBSCR
2022-11-23T02:04:39.8839988Z              44 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8840122Z              46 LOAD_CONST               6 (5)
2022-11-23T02:04:39.8840239Z              48 BINARY_SUBSCR
2022-11-23T02:04:39.8840390Z              50 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8840499Z              52 LOAD_CONST               7 (6)
2022-11-23T02:04:39.8840622Z              54 BINARY_SUBSCR
2022-11-23T02:04:39.8840773Z              56 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8840912Z              58 LOAD_CONST               8 (7)
2022-11-23T02:04:39.8841029Z              60 BINARY_SUBSCR
2022-11-23T02:04:39.8841161Z              62 BUILD_TUPLE              4
2022-11-23T02:04:39.8841291Z              64 BUILD_TUPLE              2
2022-11-23T02:04:39.8841385Z              66 RETURN_VALUE
2022-11-23T02:04:39.8841430Z 
2022-11-23T02:04:39.8841505Z  
2022-11-23T02:04:39.8841790Z [2022-11-23 02:00:52,380] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8841909Z  - 
2022-11-23T02:04:39.8842086Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.8842188Z             {
2022-11-23T02:04:39.8842387Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.8842624Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.8842798Z                 'obj_weakref': None
2022-11-23T02:04:39.8843114Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.8843221Z             }
2022-11-23T02:04:39.8843326Z             
2022-11-23T02:04:39.8843443Z  - 
2022-11-23T02:04:39.8843623Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.8843700Z             {
2022-11-23T02:04:39.8843912Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8844072Z                 'code': None,
2022-11-23T02:04:39.8844362Z                 'obj_weakref': <weakref at 0x7fa55003d8a0; to 'Tensor' at 0x7fa532089cb0>
2022-11-23T02:04:39.8844715Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8844820Z             }
2022-11-23T02:04:39.8844920Z             
2022-11-23T02:04:39.8845031Z  - 
2022-11-23T02:04:39.8845196Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.8845297Z             {
2022-11-23T02:04:39.8845491Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.8845735Z                 'code': ['___check_obj_id(model, 140347484159376)'],
2022-11-23T02:04:39.8845989Z                 'obj_weakref': None
2022-11-23T02:04:39.8846306Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.8846406Z             }
2022-11-23T02:04:39.8846484Z             
2022-11-23T02:04:39.8846606Z  - 
2022-11-23T02:04:39.8846781Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.8846884Z             {
2022-11-23T02:04:39.8847077Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.8847371Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.8847543Z                 'obj_weakref': None
2022-11-23T02:04:39.8847823Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.8847924Z             }
2022-11-23T02:04:39.8848024Z             
2022-11-23T02:04:39.8848137Z  - 
2022-11-23T02:04:39.8848328Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.8848439Z             {
2022-11-23T02:04:39.8848589Z                 'guard_types': None,
2022-11-23T02:04:39.8848751Z                 'code': None,
2022-11-23T02:04:39.8848921Z                 'obj_weakref': None
2022-11-23T02:04:39.8849094Z                 'guarded_class': None
2022-11-23T02:04:39.8849252Z             }
2022-11-23T02:04:39.8849360Z             
2022-11-23T02:04:39.8849722Z [2022-11-23 02:00:52,394] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 332
2022-11-23T02:04:39.8850223Z [2022-11-23 02:00:52,405] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m2/cm2vcwssqzdyg72fooo5jhcoqpfvhrsbx4rwk5brao54guvo4kod.py
2022-11-23T02:04:39.8850562Z [2022-11-23 02:00:52,406] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 332
2022-11-23T02:04:39.8850584Z 
2022-11-23T02:04:39.8850722Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.8850830Z import torch
2022-11-23T02:04:39.8850939Z import random
2022-11-23T02:04:39.8851112Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.8851288Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.8851307Z 
2022-11-23T02:04:39.8851425Z aten = torch.ops.aten
2022-11-23T02:04:39.8851601Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.8851742Z async_compile = AsyncCompile()
2022-11-23T02:04:39.8851761Z 
2022-11-23T02:04:39.8851779Z 
2022-11-23T02:04:39.8851914Z async_compile.wait(globals())
2022-11-23T02:04:39.8852028Z del async_compile
2022-11-23T02:04:39.8852047Z 
2022-11-23T02:04:39.8852158Z def call(args):
2022-11-23T02:04:39.8852266Z     arg0_1, = args
2022-11-23T02:04:39.8852377Z     args.clear()
2022-11-23T02:04:39.8852750Z     return (as_strided(arg0_1, (4, 4), (4, 1)), as_strided(arg0_1, (4, 4), (4, 1), 16), as_strided(arg0_1, (4, 4), (4, 1), 32), as_strided(arg0_1, (4, 4), (4, 1), 48), as_strided(arg0_1, (4, 4), (16, 4)), as_strided(arg0_1, (4, 4), (16, 4), 1), as_strided(arg0_1, (4, 4), (16, 4), 2), as_strided(arg0_1, (4, 4), (16, 4), 3), )
2022-11-23T02:04:39.8852775Z 
2022-11-23T02:04:39.8852793Z 
2022-11-23T02:04:39.8852914Z if __name__ == "__main__":
2022-11-23T02:04:39.8853081Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.8853242Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.8853540Z     arg0_1 = rand_strided((4, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.8853701Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.8853720Z 
2022-11-23T02:04:39.8853827Z ok (0.056s)
2022-11-23T02:04:39.8854269Z   test_unroll_small_reduction_cpu (__main__.CpuTests) ... [2022-11-23 02:00:52,415] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8854694Z [2022-11-23 02:00:52,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8854996Z [2022-11-23 02:00:52,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8855512Z [2022-11-23 02:00:52,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8855878Z [2022-11-23 02:00:52,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8856997Z [2022-11-23 02:00:52,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8857867Z [2022-11-23 02:00:52,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8858323Z [2022-11-23 02:00:52,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8858828Z [2022-11-23 02:00:52,416] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115a080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803> 
2022-11-23T02:04:39.8858975Z  804           0 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8859117Z               2 LOAD_METHOD              0 (min)
2022-11-23T02:04:39.8859448Z               4 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8859590Z               6 CALL_METHOD              1
2022-11-23T02:04:39.8859705Z               8 UNPACK_SEQUENCE          2
2022-11-23T02:04:39.8859848Z              10 STORE_FAST               1 (val1)
2022-11-23T02:04:39.8859996Z              12 STORE_FAST               2 (index1)
2022-11-23T02:04:39.8860016Z 
2022-11-23T02:04:39.8860153Z 805          14 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8860295Z              16 LOAD_METHOD              1 (max)
2022-11-23T02:04:39.8860492Z              18 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8860622Z              20 CALL_METHOD              1
2022-11-23T02:04:39.8860767Z              22 UNPACK_SEQUENCE          2
2022-11-23T02:04:39.8860880Z              24 STORE_FAST               3 (val2)
2022-11-23T02:04:39.8861017Z              26 STORE_FAST               4 (index2)
2022-11-23T02:04:39.8861037Z 
2022-11-23T02:04:39.8861175Z 807          28 LOAD_FAST                1 (val1)
2022-11-23T02:04:39.8861194Z 
2022-11-23T02:04:39.8861336Z 808          30 LOAD_FAST                2 (index1)
2022-11-23T02:04:39.8861354Z 
2022-11-23T02:04:39.8861489Z 809          32 LOAD_FAST                3 (val2)
2022-11-23T02:04:39.8861509Z 
2022-11-23T02:04:39.8861644Z 810          34 LOAD_FAST                4 (index2)
2022-11-23T02:04:39.8861665Z 
2022-11-23T02:04:39.8861798Z 811          36 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8861937Z              38 LOAD_METHOD              2 (sum)
2022-11-23T02:04:39.8862135Z              40 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8862243Z              42 CALL_METHOD              1
2022-11-23T02:04:39.8862262Z 
2022-11-23T02:04:39.8862402Z 812          44 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8862536Z              46 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8862673Z              48 COMPARE_OP               4 (>)
2022-11-23T02:04:39.8862811Z              50 LOAD_METHOD              3 (any)
2022-11-23T02:04:39.8863018Z              52 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8863148Z              54 CALL_METHOD              1
2022-11-23T02:04:39.8863167Z 
2022-11-23T02:04:39.8863277Z 813          56 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8863412Z              58 LOAD_CONST               3 (0)
2022-11-23T02:04:39.8863549Z              60 COMPARE_OP               4 (>)
2022-11-23T02:04:39.8863686Z              62 LOAD_METHOD              4 (all)
2022-11-23T02:04:39.8863882Z              64 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8864012Z              66 CALL_METHOD              1
2022-11-23T02:04:39.8864032Z 
2022-11-23T02:04:39.8864169Z 814          68 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8864440Z              70 LOAD_METHOD              5 (argmin)
2022-11-23T02:04:39.8864611Z              72 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8864740Z              74 CALL_METHOD              1
2022-11-23T02:04:39.8864758Z 
2022-11-23T02:04:39.8864896Z 815          76 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8865033Z              78 LOAD_METHOD              6 (argmax)
2022-11-23T02:04:39.8865227Z              80 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8865357Z              82 CALL_METHOD              1
2022-11-23T02:04:39.8865376Z 
2022-11-23T02:04:39.8865509Z 816          84 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8865650Z              86 LOAD_METHOD              7 (amin)
2022-11-23T02:04:39.8865819Z              88 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8865953Z              90 CALL_METHOD              1
2022-11-23T02:04:39.8865972Z 
2022-11-23T02:04:39.8866106Z 817          92 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8866250Z              94 LOAD_METHOD              8 (amax)
2022-11-23T02:04:39.8866446Z              96 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8866576Z              98 CALL_METHOD              1
2022-11-23T02:04:39.8866595Z 
2022-11-23T02:04:39.8866776Z 806         100 BUILD_TUPLE             11
2022-11-23T02:04:39.8866878Z             102 RETURN_VALUE
2022-11-23T02:04:39.8866979Z  
2022-11-23T02:04:39.8866999Z 
2022-11-23T02:04:39.8867439Z [2022-11-23 02:00:52,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:804
2022-11-23T02:04:39.8867737Z [2022-11-23 02:00:52,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.8868072Z [2022-11-23 02:00:52,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable()]
2022-11-23T02:04:39.8868452Z [2022-11-23 02:00:52,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), min)]
2022-11-23T02:04:39.8868887Z [2022-11-23 02:00:52,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), min), ConstantVariable(int)]
2022-11-23T02:04:39.8869244Z [2022-11-23 02:00:52,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T02:04:39.8869610Z [2022-11-23 02:00:52,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val1 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8869950Z [2022-11-23 02:00:52,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index1 [TensorVariable()]
2022-11-23T02:04:39.8870352Z [2022-11-23 02:00:52,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:805
2022-11-23T02:04:39.8870643Z [2022-11-23 02:00:52,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.8870970Z [2022-11-23 02:00:52,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T02:04:39.8871353Z [2022-11-23 02:00:52,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T02:04:39.8871780Z [2022-11-23 02:00:52,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)]
2022-11-23T02:04:39.8872137Z [2022-11-23 02:00:52,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T02:04:39.8872506Z [2022-11-23 02:00:52,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8872841Z [2022-11-23 02:00:52,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index2 [TensorVariable()]
2022-11-23T02:04:39.8873260Z [2022-11-23 02:00:52,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:807
2022-11-23T02:04:39.8873532Z [2022-11-23 02:00:52,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val1 []
2022-11-23T02:04:39.8874079Z [2022-11-23 02:00:52,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:808
2022-11-23T02:04:39.8874423Z [2022-11-23 02:00:52,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index1 [TensorVariable()]
2022-11-23T02:04:39.8874844Z [2022-11-23 02:00:52,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:809
2022-11-23T02:04:39.8875215Z [2022-11-23 02:00:52,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8875632Z [2022-11-23 02:00:52,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:810
2022-11-23T02:04:39.8876035Z [2022-11-23 02:00:52,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8876457Z [2022-11-23 02:00:52,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:811
2022-11-23T02:04:39.8876941Z [2022-11-23 02:00:52,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8877417Z [2022-11-23 02:00:52,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8877937Z [2022-11-23 02:00:52,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.8878509Z [2022-11-23 02:00:52,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T02:04:39.8878918Z [2022-11-23 02:00:52,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:812
2022-11-23T02:04:39.8879386Z [2022-11-23 02:00:52,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8879891Z [2022-11-23 02:00:52,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8880454Z [2022-11-23 02:00:52,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8880962Z [2022-11-23 02:00:52,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8881527Z [2022-11-23 02:00:52,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T02:04:39.8882136Z [2022-11-23 02:00:52,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T02:04:39.8882569Z [2022-11-23 02:00:52,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:813
2022-11-23T02:04:39.8883071Z [2022-11-23 02:00:52,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8883689Z [2022-11-23 02:00:52,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8884293Z [2022-11-23 02:00:52,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8884849Z [2022-11-23 02:00:52,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8885444Z [2022-11-23 02:00:52,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all)]
2022-11-23T02:04:39.8886119Z [2022-11-23 02:00:52,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all), ConstantVariable(int)]
2022-11-23T02:04:39.8886606Z [2022-11-23 02:00:52,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:814
2022-11-23T02:04:39.8887220Z [2022-11-23 02:00:52,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8887789Z [2022-11-23 02:00:52,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8888421Z [2022-11-23 02:00:52,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T02:04:39.8889116Z [2022-11-23 02:00:52,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)]
2022-11-23T02:04:39.8889548Z [2022-11-23 02:00:52,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:815
2022-11-23T02:04:39.8890130Z [2022-11-23 02:00:52,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8890784Z [2022-11-23 02:00:52,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8891462Z [2022-11-23 02:00:52,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T02:04:39.8892188Z [2022-11-23 02:00:52,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)]
2022-11-23T02:04:39.8892610Z [2022-11-23 02:00:52,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:816
2022-11-23T02:04:39.8893329Z [2022-11-23 02:00:52,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8893989Z [2022-11-23 02:00:52,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8894694Z [2022-11-23 02:00:52,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin)]
2022-11-23T02:04:39.8895460Z [2022-11-23 02:00:52,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin), ConstantVariable(int)]
2022-11-23T02:04:39.8895959Z [2022-11-23 02:00:52,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:817
2022-11-23T02:04:39.8897635Z [2022-11-23 02:00:52,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8898350Z [2022-11-23 02:00:52,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8899097Z [2022-11-23 02:00:52,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax)]
2022-11-23T02:04:39.8899883Z [2022-11-23 02:00:52,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax), ConstantVariable(int)]
2022-11-23T02:04:39.8900313Z [2022-11-23 02:00:52,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:806
2022-11-23T02:04:39.8901004Z [2022-11-23 02:00:52,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 11 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8901350Z [2022-11-23 02:00:52,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8901858Z [2022-11-23 02:00:52,445] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115a080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803>
2022-11-23T02:04:39.8902168Z [2022-11-23 02:00:52,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.8902501Z [2022-11-23 02:00:52,445] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.8902853Z [2022-11-23 02:00:52,448] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.8903198Z [2022-11-23 02:00:52,462] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.8903665Z [2022-11-23 02:00:52,463] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.8903863Z  __compiled_fn_341 <eval_with_key>.2520 opcode, name, target, args, kwargs
2022-11-23T02:04:39.8904000Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.8904201Z call_method, min_1, min, (ex_0_, -1), {}
2022-11-23T02:04:39.8904441Z call_function, getitem, <built-in function getitem>, (min_1, 0), {}
2022-11-23T02:04:39.8904702Z call_function, getitem_1, <built-in function getitem>, (min_1, 1), {}
2022-11-23T02:04:39.8904890Z call_method, max_1, max, (ex_0_, -1), {}
2022-11-23T02:04:39.8905150Z call_function, getitem_2, <built-in function getitem>, (max_1, 0), {}
2022-11-23T02:04:39.8905404Z call_function, getitem_3, <built-in function getitem>, (max_1, 1), {}
2022-11-23T02:04:39.8905597Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T02:04:39.8905833Z call_function, gt, <built-in function gt>, (ex_0_, 1), {}
2022-11-23T02:04:39.8906021Z call_method, any_1, any, (gt, -1), {}
2022-11-23T02:04:39.8906236Z call_function, gt_1, <built-in function gt>, (ex_0_, 0), {}
2022-11-23T02:04:39.8906425Z call_method, all_1, all, (gt_1, -1), {}
2022-11-23T02:04:39.8906704Z call_method, argmin, argmin, (ex_0_, -1), {}
2022-11-23T02:04:39.8906920Z call_method, argmax, argmax, (ex_0_, -1), {}
2022-11-23T02:04:39.8907112Z call_method, amin, amin, (ex_0_, -1), {}
2022-11-23T02:04:39.8907304Z call_method, amax, amax, (ex_0_, -1), {}
2022-11-23T02:04:39.8907561Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, sum_1, any_1, all_1, argmin, argmax, amin, amax),), {}
2022-11-23T02:04:39.8907588Z 
2022-11-23T02:04:39.8908038Z [2022-11-23 02:00:52,464] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8908158Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.8908300Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8908445Z               4 BUILD_MAP                0
2022-11-23T02:04:39.8908584Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.8908723Z               8 DICT_MERGE               1
2022-11-23T02:04:39.8908860Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.8908979Z              12 RETURN_VALUE
2022-11-23T02:04:39.8909000Z 
2022-11-23T02:04:39.8909073Z  
2022-11-23T02:04:39.8909511Z [2022-11-23 02:00:52,464] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.8909669Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_341)
2022-11-23T02:04:39.8909803Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.8909942Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8910065Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.8910201Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.8910361Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.8910489Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8910628Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.8910741Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.8910895Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8911031Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8911147Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.8911292Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8911404Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.8911524Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.8911676Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8911811Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:39.8911925Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.8912077Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8912284Z              38 LOAD_CONST               5 (4)
2022-11-23T02:04:39.8912379Z              40 BINARY_SUBSCR
2022-11-23T02:04:39.8912529Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8912670Z              44 LOAD_CONST               6 (5)
2022-11-23T02:04:39.8912791Z              46 BINARY_SUBSCR
2022-11-23T02:04:39.8912943Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8913116Z              50 LOAD_CONST               7 (6)
2022-11-23T02:04:39.8913198Z              52 BINARY_SUBSCR
2022-11-23T02:04:39.8913322Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8913492Z              56 LOAD_CONST               8 (7)
2022-11-23T02:04:39.8913613Z              58 BINARY_SUBSCR
2022-11-23T02:04:39.8913757Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8913893Z              62 LOAD_CONST               9 (8)
2022-11-23T02:04:39.8914096Z              64 BINARY_SUBSCR
2022-11-23T02:04:39.8914241Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8914378Z              68 LOAD_CONST              10 (9)
2022-11-23T02:04:39.8914475Z              70 BINARY_SUBSCR
2022-11-23T02:04:39.8914668Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.8914813Z              74 LOAD_CONST              11 (10)
2022-11-23T02:04:39.8914936Z              76 BINARY_SUBSCR
2022-11-23T02:04:39.8915096Z              78 BUILD_TUPLE             11
2022-11-23T02:04:39.8915209Z              80 RETURN_VALUE
2022-11-23T02:04:39.8915220Z 
2022-11-23T02:04:39.8915335Z  
2022-11-23T02:04:39.8915581Z [2022-11-23 02:00:52,465] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.8915691Z  - 
2022-11-23T02:04:39.8915857Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.8915999Z             {
2022-11-23T02:04:39.8916201Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.8916452Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.8916639Z                 'obj_weakref': None
2022-11-23T02:04:39.8916921Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.8917034Z             }
2022-11-23T02:04:39.8917134Z             
2022-11-23T02:04:39.8917246Z  - 
2022-11-23T02:04:39.8917426Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.8917531Z             {
2022-11-23T02:04:39.8917741Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.8917870Z                 'code': None,
2022-11-23T02:04:39.8918165Z                 'obj_weakref': <weakref at 0x7fa5501976f0; to 'Tensor' at 0x7fa53c3d4590>
2022-11-23T02:04:39.8918511Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.8918605Z             }
2022-11-23T02:04:39.8918711Z             
2022-11-23T02:04:39.8918818Z  - 
2022-11-23T02:04:39.8919020Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.8919101Z             {
2022-11-23T02:04:39.8919289Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.8919626Z                 'code': ['___check_obj_id(model, 140347484159376)'],
2022-11-23T02:04:39.8919960Z                 'obj_weakref': None
2022-11-23T02:04:39.8920741Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.8920958Z             }
2022-11-23T02:04:39.8921172Z             
2022-11-23T02:04:39.8921361Z  - 
2022-11-23T02:04:39.8921760Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.8921989Z             {
2022-11-23T02:04:39.8922433Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.8923117Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.8923504Z                 'obj_weakref': None
2022-11-23T02:04:39.8924220Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.8924580Z             }
2022-11-23T02:04:39.8924785Z             
2022-11-23T02:04:39.8925653Z [2022-11-23 02:00:52,491] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 333
2022-11-23T02:04:39.8926868Z [2022-11-23 02:00:55,187] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u6/cu6vdthcnmqyysvfkcxlohupm245meaqp6cfpphzkmxmhkolgvv4.py
2022-11-23T02:04:39.8927731Z [2022-11-23 02:00:55,188] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 333
2022-11-23T02:04:39.8928525Z [2022-11-23 02:00:55,195] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.8929566Z [2022-11-23 02:00:55,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.8930287Z [2022-11-23 02:00:55,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.8931101Z [2022-11-23 02:00:55,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.8932096Z [2022-11-23 02:00:55,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.8933173Z [2022-11-23 02:00:55,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8934451Z [2022-11-23 02:00:55,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8935526Z [2022-11-23 02:00:55,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.8936890Z [2022-11-23 02:00:55,197] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa64115a080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803> 
2022-11-23T02:04:39.8937112Z  804           0 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8937442Z               2 LOAD_METHOD              0 (min)
2022-11-23T02:04:39.8937940Z               4 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8938220Z               6 CALL_METHOD              1
2022-11-23T02:04:39.8938485Z               8 UNPACK_SEQUENCE          2
2022-11-23T02:04:39.8938797Z              10 STORE_FAST               1 (val1)
2022-11-23T02:04:39.8939106Z              12 STORE_FAST               2 (index1)
2022-11-23T02:04:39.8939145Z 
2022-11-23T02:04:39.8939429Z 805          14 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8939723Z              16 LOAD_METHOD              1 (max)
2022-11-23T02:04:39.8940172Z              18 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8940444Z              20 CALL_METHOD              1
2022-11-23T02:04:39.8940715Z              22 UNPACK_SEQUENCE          2
2022-11-23T02:04:39.8941023Z              24 STORE_FAST               3 (val2)
2022-11-23T02:04:39.8941317Z              26 STORE_FAST               4 (index2)
2022-11-23T02:04:39.8941359Z 
2022-11-23T02:04:39.8941648Z 807          28 LOAD_FAST                1 (val1)
2022-11-23T02:04:39.8941688Z 
2022-11-23T02:04:39.8941997Z 808          30 LOAD_FAST                2 (index1)
2022-11-23T02:04:39.8942038Z 
2022-11-23T02:04:39.8942335Z 809          32 LOAD_FAST                3 (val2)
2022-11-23T02:04:39.8942362Z 
2022-11-23T02:04:39.8942645Z 810          34 LOAD_FAST                4 (index2)
2022-11-23T02:04:39.8942686Z 
2022-11-23T02:04:39.8942960Z 811          36 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8943268Z              38 LOAD_METHOD              2 (sum)
2022-11-23T02:04:39.8943678Z              40 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8943964Z              42 CALL_METHOD              1
2022-11-23T02:04:39.8943991Z 
2022-11-23T02:04:39.8944274Z 812          44 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8944910Z              46 LOAD_CONST               2 (1)
2022-11-23T02:04:39.8945210Z              48 COMPARE_OP               4 (>)
2022-11-23T02:04:39.8945519Z              50 LOAD_METHOD              3 (any)
2022-11-23T02:04:39.8945964Z              52 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8946262Z              54 CALL_METHOD              1
2022-11-23T02:04:39.8946290Z 
2022-11-23T02:04:39.8946548Z 813          56 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8946832Z              58 LOAD_CONST               3 (0)
2022-11-23T02:04:39.8947131Z              60 COMPARE_OP               4 (>)
2022-11-23T02:04:39.8947419Z              62 LOAD_METHOD              4 (all)
2022-11-23T02:04:39.8947869Z              64 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8948155Z              66 CALL_METHOD              1
2022-11-23T02:04:39.8948193Z 
2022-11-23T02:04:39.8948482Z 814          68 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8948752Z              70 LOAD_METHOD              5 (argmin)
2022-11-23T02:04:39.8949197Z              72 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8949476Z              74 CALL_METHOD              1
2022-11-23T02:04:39.8949504Z 
2022-11-23T02:04:39.8949969Z 815          76 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8950282Z              78 LOAD_METHOD              6 (argmax)
2022-11-23T02:04:39.8950714Z              80 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8950991Z              82 CALL_METHOD              1
2022-11-23T02:04:39.8951033Z 
2022-11-23T02:04:39.8951308Z 816          84 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8951582Z              86 LOAD_METHOD              7 (amin)
2022-11-23T02:04:39.8952012Z              88 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8952297Z              90 CALL_METHOD              1
2022-11-23T02:04:39.8952337Z 
2022-11-23T02:04:39.8952623Z 817          92 LOAD_FAST                0 (x)
2022-11-23T02:04:39.8952915Z              94 LOAD_METHOD              8 (amax)
2022-11-23T02:04:39.8953362Z              96 LOAD_CONST               1 (-1)
2022-11-23T02:04:39.8953640Z              98 CALL_METHOD              1
2022-11-23T02:04:39.8953682Z 
2022-11-23T02:04:39.8953958Z 806         100 BUILD_TUPLE             11
2022-11-23T02:04:39.8954175Z             102 RETURN_VALUE
2022-11-23T02:04:39.8954379Z  
2022-11-23T02:04:39.8954421Z 
2022-11-23T02:04:39.8955493Z [2022-11-23 02:00:55,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:804
2022-11-23T02:04:39.8956190Z [2022-11-23 02:00:55,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.8956980Z [2022-11-23 02:00:55,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable()]
2022-11-23T02:04:39.8957891Z [2022-11-23 02:00:55,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), min)]
2022-11-23T02:04:39.8958935Z [2022-11-23 02:00:55,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), min), ConstantVariable(int)]
2022-11-23T02:04:39.8959818Z [2022-11-23 02:00:55,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T02:04:39.8960730Z [2022-11-23 02:00:55,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val1 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8961530Z [2022-11-23 02:00:55,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index1 [TensorVariable()]
2022-11-23T02:04:39.8962587Z [2022-11-23 02:00:55,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:805
2022-11-23T02:04:39.8963278Z [2022-11-23 02:00:55,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:39.8964088Z [2022-11-23 02:00:55,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T02:04:39.8965151Z [2022-11-23 02:00:55,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T02:04:39.8966234Z [2022-11-23 02:00:55,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)]
2022-11-23T02:04:39.8967092Z [2022-11-23 02:00:55,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T02:04:39.8968014Z [2022-11-23 02:00:55,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8968866Z [2022-11-23 02:00:55,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index2 [TensorVariable()]
2022-11-23T02:04:39.8969937Z [2022-11-23 02:00:55,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:807
2022-11-23T02:04:39.8970630Z [2022-11-23 02:00:55,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val1 []
2022-11-23T02:04:39.8971717Z [2022-11-23 02:00:55,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:808
2022-11-23T02:04:39.8972711Z [2022-11-23 02:00:55,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index1 [TensorVariable()]
2022-11-23T02:04:39.8973811Z [2022-11-23 02:00:55,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:809
2022-11-23T02:04:39.8974711Z [2022-11-23 02:00:55,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8975734Z [2022-11-23 02:00:55,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:810
2022-11-23T02:04:39.8977036Z [2022-11-23 02:00:55,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8978129Z [2022-11-23 02:00:55,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:811
2022-11-23T02:04:39.8979199Z [2022-11-23 02:00:55,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8980370Z [2022-11-23 02:00:55,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8981692Z [2022-11-23 02:00:55,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T02:04:39.8983078Z [2022-11-23 02:00:55,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T02:04:39.8984150Z [2022-11-23 02:00:55,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:812
2022-11-23T02:04:39.8985326Z [2022-11-23 02:00:55,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8986621Z [2022-11-23 02:00:55,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8988132Z [2022-11-23 02:00:55,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8989405Z [2022-11-23 02:00:55,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8991211Z [2022-11-23 02:00:55,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T02:04:39.8992797Z [2022-11-23 02:00:55,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T02:04:39.8993873Z [2022-11-23 02:00:55,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:813
2022-11-23T02:04:39.8995149Z [2022-11-23 02:00:55,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8996546Z [2022-11-23 02:00:55,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.8998269Z [2022-11-23 02:00:55,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.8999662Z [2022-11-23 02:00:55,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9001186Z [2022-11-23 02:00:55,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all)]
2022-11-23T02:04:39.9002855Z [2022-11-23 02:00:55,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all), ConstantVariable(int)]
2022-11-23T02:04:39.9003936Z [2022-11-23 02:00:55,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:814
2022-11-23T02:04:39.9005259Z [2022-11-23 02:00:55,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9006745Z [2022-11-23 02:00:55,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9008367Z [2022-11-23 02:00:55,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T02:04:39.9010152Z [2022-11-23 02:00:55,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)]
2022-11-23T02:04:39.9011247Z [2022-11-23 02:00:55,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:815
2022-11-23T02:04:39.9012778Z [2022-11-23 02:00:55,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9014421Z [2022-11-23 02:00:55,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9016671Z [2022-11-23 02:00:55,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T02:04:39.9018584Z [2022-11-23 02:00:55,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)]
2022-11-23T02:04:39.9019655Z [2022-11-23 02:00:55,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:816
2022-11-23T02:04:39.9021215Z [2022-11-23 02:00:55,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9023236Z [2022-11-23 02:00:55,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9025058Z [2022-11-23 02:00:55,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin)]
2022-11-23T02:04:39.9027029Z [2022-11-23 02:00:55,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin), ConstantVariable(int)]
2022-11-23T02:04:39.9028123Z [2022-11-23 02:00:55,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:817
2022-11-23T02:04:39.9029794Z [2022-11-23 02:00:55,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9031564Z [2022-11-23 02:00:55,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9033467Z [2022-11-23 02:00:55,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax)]
2022-11-23T02:04:39.9035491Z [2022-11-23 02:00:55,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax), ConstantVariable(int)]
2022-11-23T02:04:39.9036583Z [2022-11-23 02:00:55,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:806
2022-11-23T02:04:39.9038391Z [2022-11-23 02:00:55,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 11 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9039598Z [2022-11-23 02:00:55,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.9040856Z [2022-11-23 02:00:55,224] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa64115a080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803>
2022-11-23T02:04:39.9041728Z [2022-11-23 02:00:55,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.9042538Z [2022-11-23 02:00:55,224] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.9043409Z [2022-11-23 02:00:55,228] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.9044262Z [2022-11-23 02:00:55,241] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.9044920Z [2022-11-23 02:00:55,241] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.9045388Z  __compiled_fn_342 <eval_with_key>.2526 opcode, name, target, args, kwargs
2022-11-23T02:04:39.9045691Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.9046355Z call_method, min_1, min, (ex_0_, -1), {}
2022-11-23T02:04:39.9046963Z call_function, getitem, <built-in function getitem>, (min_1, 0), {}
2022-11-23T02:04:39.9047606Z call_function, getitem_1, <built-in function getitem>, (min_1, 1), {}
2022-11-23T02:04:39.9048044Z call_method, max_1, max, (ex_0_, -1), {}
2022-11-23T02:04:39.9048676Z call_function, getitem_2, <built-in function getitem>, (max_1, 0), {}
2022-11-23T02:04:39.9049299Z call_function, getitem_3, <built-in function getitem>, (max_1, 1), {}
2022-11-23T02:04:39.9049737Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T02:04:39.9050299Z call_function, gt, <built-in function gt>, (ex_0_, 1), {}
2022-11-23T02:04:39.9050713Z call_method, any_1, any, (gt, -1), {}
2022-11-23T02:04:39.9051278Z call_function, gt_1, <built-in function gt>, (ex_0_, 0), {}
2022-11-23T02:04:39.9051725Z call_method, all_1, all, (gt_1, -1), {}
2022-11-23T02:04:39.9052188Z call_method, argmin, argmin, (ex_0_, -1), {}
2022-11-23T02:04:39.9052692Z call_method, argmax, argmax, (ex_0_, -1), {}
2022-11-23T02:04:39.9053128Z call_method, amin, amin, (ex_0_, -1), {}
2022-11-23T02:04:39.9053563Z call_method, amax, amax, (ex_0_, -1), {}
2022-11-23T02:04:39.9054173Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, sum_1, any_1, all_1, argmin, argmax, amin, amax),), {}
2022-11-23T02:04:39.9054229Z 
2022-11-23T02:04:39.9055291Z [2022-11-23 02:00:55,242] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.9055605Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.9055910Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.9056614Z               4 BUILD_MAP                0
2022-11-23T02:04:39.9056936Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.9057222Z               8 DICT_MERGE               1
2022-11-23T02:04:39.9057519Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.9057776Z              12 RETURN_VALUE
2022-11-23T02:04:39.9057816Z 
2022-11-23T02:04:39.9057979Z  
2022-11-23T02:04:39.9059099Z [2022-11-23 02:00:55,243] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.9059451Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_342)
2022-11-23T02:04:39.9059749Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.9060045Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.9060314Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.9060611Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.9060916Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.9061638Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9061933Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.9062195Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.9062543Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9062838Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.9063097Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.9063399Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9063697Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.9063952Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.9064289Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9064632Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:39.9064920Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.9065267Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9065563Z              38 LOAD_CONST               5 (4)
2022-11-23T02:04:39.9065782Z              40 BINARY_SUBSCR
2022-11-23T02:04:39.9066112Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9066408Z              44 LOAD_CONST               6 (5)
2022-11-23T02:04:39.9066844Z              46 BINARY_SUBSCR
2022-11-23T02:04:39.9067201Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9067490Z              50 LOAD_CONST               7 (6)
2022-11-23T02:04:39.9067764Z              52 BINARY_SUBSCR
2022-11-23T02:04:39.9068064Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9068351Z              56 LOAD_CONST               8 (7)
2022-11-23T02:04:39.9068611Z              58 BINARY_SUBSCR
2022-11-23T02:04:39.9068939Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9069235Z              62 LOAD_CONST               9 (8)
2022-11-23T02:04:39.9069482Z              64 BINARY_SUBSCR
2022-11-23T02:04:39.9069837Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9070080Z              68 LOAD_CONST              10 (9)
2022-11-23T02:04:39.9070345Z              70 BINARY_SUBSCR
2022-11-23T02:04:39.9070685Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9070972Z              74 LOAD_CONST              11 (10)
2022-11-23T02:04:39.9071302Z              76 BINARY_SUBSCR
2022-11-23T02:04:39.9071596Z              78 BUILD_TUPLE             11
2022-11-23T02:04:39.9071845Z              80 RETURN_VALUE
2022-11-23T02:04:39.9071886Z 
2022-11-23T02:04:39.9072047Z  
2022-11-23T02:04:39.9072725Z [2022-11-23 02:00:55,244] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.9072969Z  - 
2022-11-23T02:04:39.9073447Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.9073670Z             {
2022-11-23T02:04:39.9074125Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.9074739Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.9075112Z                 'obj_weakref': None
2022-11-23T02:04:39.9075850Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.9076708Z             }
2022-11-23T02:04:39.9077239Z             
2022-11-23T02:04:39.9077744Z  - 
2022-11-23T02:04:39.9078447Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.9079026Z             {
2022-11-23T02:04:39.9079742Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.9080495Z                 'code': None,
2022-11-23T02:04:39.9081531Z                 'obj_weakref': <weakref at 0x7fa53200d620; to 'Tensor' at 0x7fa53c3d4590>
2022-11-23T02:04:39.9082826Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.9083613Z             }
2022-11-23T02:04:39.9084104Z             
2022-11-23T02:04:39.9084639Z  - 
2022-11-23T02:04:39.9085332Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.9086196Z             {
2022-11-23T02:04:39.9086945Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.9087937Z                 'code': ['___check_obj_id(model, 140347484159376)'],
2022-11-23T02:04:39.9088750Z                 'obj_weakref': None
2022-11-23T02:04:39.9089872Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.9090601Z             }
2022-11-23T02:04:39.9091129Z             
2022-11-23T02:04:39.9091739Z  - 
2022-11-23T02:04:39.9092399Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.9092974Z             {
2022-11-23T02:04:39.9093697Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.9094852Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.9095708Z                 'obj_weakref': None
2022-11-23T02:04:39.9097108Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.9097880Z             }
2022-11-23T02:04:39.9098343Z             
2022-11-23T02:04:39.9099508Z [2022-11-23 02:00:55,273] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 334
2022-11-23T02:04:39.9100160Z 
2022-11-23T02:04:39.9100761Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.9101406Z import torch
2022-11-23T02:04:39.9101918Z import random
2022-11-23T02:04:39.9102631Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.9103483Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.9103969Z 
2022-11-23T02:04:39.9104234Z aten = torch.ops.aten
2022-11-23T02:04:39.9105032Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.9105840Z async_compile = AsyncCompile()
2022-11-23T02:04:39.9106269Z 
2022-11-23T02:04:39.9106309Z 
2022-11-23T02:04:39.9106866Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.9107954Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.9109074Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.9109847Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.9110546Z                        long* __restrict__ out_ptr1,
2022-11-23T02:04:39.9111252Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:39.9111987Z                        long* __restrict__ out_ptr3,
2022-11-23T02:04:39.9112654Z                        float* __restrict__ out_ptr4,
2022-11-23T02:04:39.9113357Z                        bool* __restrict__ out_ptr5,
2022-11-23T02:04:39.9114051Z                        bool* __restrict__ out_ptr6,
2022-11-23T02:04:39.9114724Z                        long* __restrict__ out_ptr7,
2022-11-23T02:04:39.9115421Z                        long* __restrict__ out_ptr8,
2022-11-23T02:04:39.9116136Z                        float* __restrict__ out_ptr9,
2022-11-23T02:04:39.9116830Z                        float* __restrict__ out_ptr10)
2022-11-23T02:04:39.9117459Z {
2022-11-23T02:04:39.9118076Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.9118700Z     {
2022-11-23T02:04:39.9119217Z         #pragma omp for 
2022-11-23T02:04:39.9119830Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.9120402Z         {
2022-11-23T02:04:39.9120877Z             {
2022-11-23T02:04:39.9121382Z                 {
2022-11-23T02:04:39.9121995Z                     auto tmp0 = in_ptr0[3*i0];
2022-11-23T02:04:39.9122666Z                     auto tmp1 = in_ptr0[1 + (3*i0)];
2022-11-23T02:04:39.9123389Z                     auto tmp3 = in_ptr0[2 + (3*i0)];
2022-11-23T02:04:39.9124193Z                     auto tmp2 = std::min(tmp0, tmp1);
2022-11-23T02:04:39.9124904Z                     auto tmp4 = std::min(tmp2, tmp3);
2022-11-23T02:04:39.9125657Z                     auto tmp5 = static_cast<long>(0);
2022-11-23T02:04:39.9126387Z                     auto tmp6 = static_cast<long>(1);
2022-11-23T02:04:39.9127067Z                     auto tmp7 = tmp1 < tmp0;
2022-11-23T02:04:39.9128242Z                     auto tmp8 = tmp7 ? tmp6 : tmp5;
2022-11-23T02:04:39.9128965Z                     auto tmp9 = static_cast<long>(2);
2022-11-23T02:04:39.9129660Z                     auto tmp10 = tmp3 < tmp2;
2022-11-23T02:04:39.9130367Z                     auto tmp11 = tmp10 ? tmp9 : tmp8;
2022-11-23T02:04:39.9131132Z                     auto tmp12 = std::max(tmp0, tmp1);
2022-11-23T02:04:39.9131884Z                     auto tmp13 = std::max(tmp12, tmp3);
2022-11-23T02:04:39.9132547Z                     auto tmp14 = tmp1 > tmp0;
2022-11-23T02:04:39.9133257Z                     auto tmp15 = tmp14 ? tmp6 : tmp5;
2022-11-23T02:04:39.9133941Z                     auto tmp16 = tmp3 > tmp12;
2022-11-23T02:04:39.9134626Z                     auto tmp17 = tmp16 ? tmp9 : tmp15;
2022-11-23T02:04:39.9135326Z                     auto tmp18 = tmp0 + tmp1;
2022-11-23T02:04:39.9136020Z                     auto tmp19 = tmp18 + tmp3;
2022-11-23T02:04:39.9137087Z                     auto tmp20 = static_cast<float>(1);
2022-11-23T02:04:39.9137836Z                     auto tmp21 = tmp0 > tmp20;
2022-11-23T02:04:39.9138563Z                     auto tmp22 = static_cast<long>(tmp21);
2022-11-23T02:04:39.9139349Z                     auto tmp23 = static_cast<bool>(tmp22);
2022-11-23T02:04:39.9140393Z                     auto tmp24 = tmp1 > tmp20;
2022-11-23T02:04:39.9141133Z                     auto tmp25 = static_cast<long>(tmp24);
2022-11-23T02:04:39.9141895Z                     auto tmp26 = static_cast<bool>(tmp25);
2022-11-23T02:04:39.9142583Z                     auto tmp27 = tmp23 || tmp26;
2022-11-23T02:04:39.9143267Z                     auto tmp28 = tmp3 > tmp20;
2022-11-23T02:04:39.9144001Z                     auto tmp29 = static_cast<long>(tmp28);
2022-11-23T02:04:39.9144733Z                     auto tmp30 = static_cast<bool>(tmp29);
2022-11-23T02:04:39.9145458Z                     auto tmp31 = tmp27 || tmp30;
2022-11-23T02:04:39.9146187Z                     auto tmp32 = static_cast<float>(0);
2022-11-23T02:04:39.9146905Z                     auto tmp33 = tmp0 > tmp32;
2022-11-23T02:04:39.9147580Z                     auto tmp34 = tmp33 == 0;
2022-11-23T02:04:39.9148312Z                     auto tmp35 = static_cast<long>(tmp34);
2022-11-23T02:04:39.9149079Z                     auto tmp36 = static_cast<bool>(tmp35);
2022-11-23T02:04:39.9149780Z                     auto tmp37 = tmp1 > tmp32;
2022-11-23T02:04:39.9150438Z                     auto tmp38 = tmp37 == 0;
2022-11-23T02:04:39.9151161Z                     auto tmp39 = static_cast<long>(tmp38);
2022-11-23T02:04:39.9151921Z                     auto tmp40 = static_cast<bool>(tmp39);
2022-11-23T02:04:39.9152732Z                     auto tmp41 = tmp36 || tmp40;
2022-11-23T02:04:39.9153433Z                     auto tmp42 = tmp3 > tmp32;
2022-11-23T02:04:39.9154101Z                     auto tmp43 = tmp42 == 0;
2022-11-23T02:04:39.9154816Z                     auto tmp44 = static_cast<long>(tmp43);
2022-11-23T02:04:39.9155568Z                     auto tmp45 = static_cast<bool>(tmp44);
2022-11-23T02:04:39.9156274Z                     auto tmp46 = tmp41 || tmp45;
2022-11-23T02:04:39.9156945Z                     auto tmp47 = tmp46 == 0;
2022-11-23T02:04:39.9157605Z                     out_ptr0[i0] = tmp4;
2022-11-23T02:04:39.9158257Z                     out_ptr1[i0] = tmp11;
2022-11-23T02:04:39.9158877Z                     out_ptr2[i0] = tmp13;
2022-11-23T02:04:39.9159495Z                     out_ptr3[i0] = tmp17;
2022-11-23T02:04:39.9160138Z                     out_ptr4[i0] = tmp19;
2022-11-23T02:04:39.9160758Z                     out_ptr5[i0] = tmp31;
2022-11-23T02:04:39.9161395Z                     out_ptr6[i0] = tmp47;
2022-11-23T02:04:39.9162028Z                     out_ptr7[i0] = tmp11;
2022-11-23T02:04:39.9162624Z                     out_ptr8[i0] = tmp17;
2022-11-23T02:04:39.9163254Z                     out_ptr9[i0] = tmp4;
2022-11-23T02:04:39.9163899Z                     out_ptr10[i0] = tmp13;
2022-11-23T02:04:39.9164459Z                 }
2022-11-23T02:04:39.9165324Z             }
2022-11-23T02:04:39.9165822Z         }
2022-11-23T02:04:39.9166279Z     }
2022-11-23T02:04:39.9166762Z }
2022-11-23T02:04:39.9167453Z ''')
2022-11-23T02:04:39.9167769Z 
2022-11-23T02:04:39.9167809Z 
2022-11-23T02:04:39.9168093Z async_compile.wait(globals())
2022-11-23T02:04:39.9168736Z del async_compile
2022-11-23T02:04:39.9169115Z 
2022-11-23T02:04:39.9169344Z def call(args):
2022-11-23T02:04:39.9169857Z     arg0_1, = args
2022-11-23T02:04:39.9170454Z     args.clear()
2022-11-23T02:04:39.9171454Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9172608Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.9173723Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9174830Z     buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.9175968Z     buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9177433Z     buf5 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.9178516Z     buf6 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.9179978Z     buf7 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.9181080Z     buf8 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.9182189Z     buf9 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9183314Z     buf10 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9185012Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()))
2022-11-23T02:04:39.9186451Z     del arg0_1
2022-11-23T02:04:39.9187209Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, buf9, buf10, )
2022-11-23T02:04:39.9187808Z 
2022-11-23T02:04:39.9187857Z 
2022-11-23T02:04:39.9188103Z if __name__ == "__main__":
2022-11-23T02:04:39.9188851Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.9189677Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.9190860Z     arg0_1 = rand_strided((8, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9191724Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.9192199Z 
2022-11-23T02:04:39.9193381Z [2022-11-23 02:00:57,982] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/se/cseghl2glyvk6x33pdsox2trvbjz64fl2fps44a4x6bc4y7nerlo.py
2022-11-23T02:04:39.9195142Z [2022-11-23 02:00:57,983] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 334
2022-11-23T02:04:39.9195840Z 
2022-11-23T02:04:39.9196168Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.9196830Z import torch
2022-11-23T02:04:39.9197368Z import random
2022-11-23T02:04:39.9198065Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.9198938Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.9199467Z 
2022-11-23T02:04:39.9199716Z aten = torch.ops.aten
2022-11-23T02:04:39.9200545Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.9201381Z async_compile = AsyncCompile()
2022-11-23T02:04:39.9201834Z 
2022-11-23T02:04:39.9201863Z 
2022-11-23T02:04:39.9202354Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.9203399Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.9204530Z extern "C" void kernel(bool* __restrict__ in_out_ptr0,
2022-11-23T02:04:39.9205334Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.9206064Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.9207265Z                        long* __restrict__ out_ptr1,
2022-11-23T02:04:39.9208000Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:39.9208692Z                        long* __restrict__ out_ptr3,
2022-11-23T02:04:39.9209410Z                        float* __restrict__ out_ptr4,
2022-11-23T02:04:39.9210124Z                        bool* __restrict__ out_ptr5,
2022-11-23T02:04:39.9210827Z                        long* __restrict__ out_ptr7,
2022-11-23T02:04:39.9211489Z                        long* __restrict__ out_ptr8,
2022-11-23T02:04:39.9212191Z                        float* __restrict__ out_ptr9,
2022-11-23T02:04:39.9212932Z                        float* __restrict__ out_ptr10)
2022-11-23T02:04:39.9213526Z {
2022-11-23T02:04:39.9214076Z     auto out_ptr6 = in_out_ptr0;
2022-11-23T02:04:39.9214780Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.9215385Z     {
2022-11-23T02:04:39.9215934Z         #pragma omp for 
2022-11-23T02:04:39.9217172Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.9217738Z         {
2022-11-23T02:04:39.9218216Z             {
2022-11-23T02:04:39.9218731Z                 {
2022-11-23T02:04:39.9219449Z                     float tmp1 = std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.9220775Z                     struct IndexValue_11 {size_t index; float value;};
2022-11-23T02:04:39.9221724Z                     IndexValue_11 tmp2{0, std::numeric_limits<float>::infinity()};
2022-11-23T02:04:39.9222725Z                     #pragma omp declare reduction(argmin : struct IndexValue_11 :\
2022-11-23T02:04:39.9223738Z                         omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T02:04:39.9224772Z                         omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T02:04:39.9225805Z                     	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T02:04:39.9227232Z                     float tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.9228123Z                     struct IndexValue_12 {size_t index; float value;};
2022-11-23T02:04:39.9229360Z                     IndexValue_12 tmp4{0, -std::numeric_limits<float>::infinity()};
2022-11-23T02:04:39.9230343Z                     #pragma omp declare reduction(argmax : struct IndexValue_12 :\
2022-11-23T02:04:39.9231359Z                         omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T02:04:39.9232493Z                         omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T02:04:39.9233881Z                     	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T02:04:39.9234636Z                     float tmp5 = 0;
2022-11-23T02:04:39.9235250Z                     bool tmp10 = 0;
2022-11-23T02:04:39.9235853Z                     bool tmp16 = 0;
2022-11-23T02:04:39.9236613Z                     struct IndexValue_13 {size_t index; float value;};
2022-11-23T02:04:39.9237534Z                     IndexValue_13 tmp17{0, std::numeric_limits<float>::infinity()};
2022-11-23T02:04:39.9238513Z                     #pragma omp declare reduction(argmin : struct IndexValue_13 :\
2022-11-23T02:04:39.9239552Z                         omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T02:04:39.9240565Z                         omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T02:04:39.9241603Z                     	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T02:04:39.9242553Z                     struct IndexValue_14 {size_t index; float value;};
2022-11-23T02:04:39.9243853Z                     IndexValue_14 tmp18{0, -std::numeric_limits<float>::infinity()};
2022-11-23T02:04:39.9244804Z                     #pragma omp declare reduction(argmax : struct IndexValue_14 :\
2022-11-23T02:04:39.9245855Z                         omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T02:04:39.9247282Z                         omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T02:04:39.9248643Z                     	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T02:04:39.9249584Z                     float tmp19 = std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.9250825Z                     float tmp20 = -std::numeric_limits<float>::infinity();
2022-11-23T02:04:39.9251605Z                     for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:39.9252190Z                     {
2022-11-23T02:04:39.9252717Z                         {
2022-11-23T02:04:39.9253375Z                             auto tmp0 = in_ptr0[i1 + (3*i0)];
2022-11-23T02:04:39.9254113Z                             auto tmp6 = static_cast<float>(1);
2022-11-23T02:04:39.9254862Z                             auto tmp7 = tmp0 > tmp6;
2022-11-23T02:04:39.9255613Z                             auto tmp8 = static_cast<long>(tmp7);
2022-11-23T02:04:39.9256812Z                             auto tmp9 = static_cast<bool>(tmp8);
2022-11-23T02:04:39.9257571Z                             auto tmp11 = static_cast<float>(0);
2022-11-23T02:04:39.9258304Z                             auto tmp12 = tmp0 > tmp11;
2022-11-23T02:04:39.9259388Z                             auto tmp13 = tmp12 == 0;
2022-11-23T02:04:39.9260139Z                             auto tmp14 = static_cast<long>(tmp13);
2022-11-23T02:04:39.9260934Z                             auto tmp15 = static_cast<bool>(tmp14);
2022-11-23T02:04:39.9261719Z                             tmp1 = std::min(tmp1, tmp0);
2022-11-23T02:04:39.9262400Z                             if (tmp2.value > tmp0) {
2022-11-23T02:04:39.9263170Z                                 tmp2.index = i1; tmp2.value = tmp0;
2022-11-23T02:04:39.9263830Z                             }
2022-11-23T02:04:39.9264498Z                             tmp3 = std::max(tmp3, tmp0);
2022-11-23T02:04:39.9265177Z                             if (tmp4.value < tmp0) {
2022-11-23T02:04:39.9265929Z                                 tmp4.index = i1; tmp4.value = tmp0;
2022-11-23T02:04:39.9266599Z                             }
2022-11-23T02:04:39.9267153Z                             tmp5 += tmp0;
2022-11-23T02:04:39.9267817Z                             tmp10 = tmp10 || tmp9;
2022-11-23T02:04:39.9268492Z                             tmp16 = tmp16 || tmp15;
2022-11-23T02:04:39.9269161Z                             if (tmp17.value > tmp0) {
2022-11-23T02:04:39.9269919Z                                 tmp17.index = i1; tmp17.value = tmp0;
2022-11-23T02:04:39.9270590Z                             }
2022-11-23T02:04:39.9271186Z                             if (tmp18.value < tmp0) {
2022-11-23T02:04:39.9271962Z                                 tmp18.index = i1; tmp18.value = tmp0;
2022-11-23T02:04:39.9272640Z                             }
2022-11-23T02:04:39.9273306Z                             tmp19 = std::min(tmp19, tmp0);
2022-11-23T02:04:39.9274030Z                             tmp20 = std::max(tmp20, tmp0);
2022-11-23T02:04:39.9274664Z                         }
2022-11-23T02:04:39.9275211Z                     }
2022-11-23T02:04:39.9275766Z                     out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.9276448Z                     out_ptr1[i0] = tmp2.index;
2022-11-23T02:04:39.9277107Z                     out_ptr2[i0] = tmp3;
2022-11-23T02:04:39.9277758Z                     out_ptr3[i0] = tmp4.index;
2022-11-23T02:04:39.9278422Z                     out_ptr4[i0] = tmp5;
2022-11-23T02:04:39.9279080Z                     out_ptr5[i0] = tmp10;
2022-11-23T02:04:39.9279704Z                     out_ptr6[i0] = tmp16;
2022-11-23T02:04:39.9280371Z                     out_ptr7[i0] = tmp17.index;
2022-11-23T02:04:39.9281069Z                     out_ptr8[i0] = tmp18.index;
2022-11-23T02:04:39.9281718Z                     out_ptr9[i0] = tmp19;
2022-11-23T02:04:39.9282389Z                     out_ptr10[i0] = tmp20;
2022-11-23T02:04:39.9282966Z                 }
2022-11-23T02:04:39.9283875Z             }
2022-11-23T02:04:39.9284382Z         }
2022-11-23T02:04:39.9284931Z         #pragma omp for 
2022-11-23T02:04:39.9285522Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:39.9286103Z         {
2022-11-23T02:04:39.9286608Z             {
2022-11-23T02:04:39.9287114Z                 {
2022-11-23T02:04:39.9287833Z                     auto tmp0 = out_ptr6[i0];
2022-11-23T02:04:39.9288500Z                     auto tmp1 = tmp0 == 0;
2022-11-23T02:04:39.9289166Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T02:04:39.9289710Z                 }
2022-11-23T02:04:39.9290225Z             }
2022-11-23T02:04:39.9290716Z         }
2022-11-23T02:04:39.9291174Z     }
2022-11-23T02:04:39.9291642Z }
2022-11-23T02:04:39.9292327Z ''')
2022-11-23T02:04:39.9292615Z 
2022-11-23T02:04:39.9292655Z 
2022-11-23T02:04:39.9292947Z async_compile.wait(globals())
2022-11-23T02:04:39.9293588Z del async_compile
2022-11-23T02:04:39.9293959Z 
2022-11-23T02:04:39.9294195Z def call(args):
2022-11-23T02:04:39.9294727Z     arg0_1, = args
2022-11-23T02:04:39.9295288Z     args.clear()
2022-11-23T02:04:39.9296666Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9297798Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.9299287Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9300425Z     buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.9301524Z     buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9302580Z     buf5 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.9303651Z     buf6 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:39.9304676Z     buf7 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.9305733Z     buf8 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:39.9306834Z     buf9 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9307964Z     buf10 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9308711Z     buf11 = buf6; del buf6  # reuse
2022-11-23T02:04:39.9310330Z     kernel_cpp_0(c_void_p(buf11.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()))
2022-11-23T02:04:39.9311802Z     del arg0_1
2022-11-23T02:04:39.9312548Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf11, buf7, buf8, buf9, buf10, )
2022-11-23T02:04:39.9313094Z 
2022-11-23T02:04:39.9313121Z 
2022-11-23T02:04:39.9313387Z if __name__ == "__main__":
2022-11-23T02:04:39.9314077Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.9314994Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.9316174Z     arg0_1 = rand_strided((8, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9317010Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.9317484Z 
2022-11-23T02:04:39.9317701Z ok (5.578s)
2022-11-23T02:04:39.9318481Z   test_unspec_inputs_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2022-11-23T02:04:39.9320059Z   test_unsqueeze_cpu (__main__.CpuTests) ... [2022-11-23 02:00:57,992] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.9321828Z [2022-11-23 02:00:57,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.9323303Z [2022-11-23 02:00:57,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.9324695Z [2022-11-23 02:00:57,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.9326224Z [2022-11-23 02:00:57,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.9328368Z [2022-11-23 02:00:57,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.9330441Z [2022-11-23 02:00:57,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.9332343Z [2022-11-23 02:00:57,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.9334363Z [2022-11-23 02:00:57,994] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641132290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1293> 
2022-11-23T02:04:39.9335537Z  1295           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.9336664Z                2 LOAD_METHOD              1 (unsqueeze)
2022-11-23T02:04:39.9337405Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.9338049Z                6 LOAD_CONST               1 (1)
2022-11-23T02:04:39.9338658Z                8 BINARY_ADD
2022-11-23T02:04:39.9339905Z               10 LOAD_CONST               2 (-1)
2022-11-23T02:04:39.9340584Z               12 CALL_METHOD              2
2022-11-23T02:04:39.9341247Z               14 LOAD_CONST               3 (2)
2022-11-23T02:04:39.9341835Z               16 BINARY_ADD
2022-11-23T02:04:39.9342218Z 
2022-11-23T02:04:39.9342499Z 1296          18 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.9343206Z               20 LOAD_METHOD              1 (unsqueeze)
2022-11-23T02:04:39.9343900Z               22 LOAD_FAST                0 (a)
2022-11-23T02:04:39.9344548Z               24 LOAD_CONST               3 (2)
2022-11-23T02:04:39.9345170Z               26 CALL_METHOD              2
2022-11-23T02:04:39.9345828Z               28 LOAD_CONST               3 (2)
2022-11-23T02:04:39.9346450Z               30 BINARY_ADD
2022-11-23T02:04:39.9346791Z 
2022-11-23T02:04:39.9347106Z 1297          32 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.9347817Z               34 LOAD_METHOD              1 (unsqueeze)
2022-11-23T02:04:39.9348496Z               36 LOAD_FAST                0 (a)
2022-11-23T02:04:39.9349129Z               38 LOAD_CONST               1 (1)
2022-11-23T02:04:39.9349735Z               40 BINARY_ADD
2022-11-23T02:04:39.9350344Z               42 LOAD_CONST               4 (0)
2022-11-23T02:04:39.9350967Z               44 CALL_METHOD              2
2022-11-23T02:04:39.9351623Z               46 LOAD_CONST               3 (2)
2022-11-23T02:04:39.9352227Z               48 BINARY_ADD
2022-11-23T02:04:39.9352604Z 
2022-11-23T02:04:39.9352898Z 1298          50 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:39.9353568Z               52 LOAD_METHOD              1 (unsqueeze)
2022-11-23T02:04:39.9354264Z               54 LOAD_FAST                0 (a)
2022-11-23T02:04:39.9355176Z               56 LOAD_CONST               5 (-2)
2022-11-23T02:04:39.9355806Z               58 CALL_METHOD              2
2022-11-23T02:04:39.9356472Z               60 LOAD_CONST               3 (2)
2022-11-23T02:04:39.9357073Z               62 BINARY_ADD
2022-11-23T02:04:39.9357472Z 
2022-11-23T02:04:39.9357736Z 1294          64 BUILD_TUPLE              4
2022-11-23T02:04:39.9358361Z               66 RETURN_VALUE
2022-11-23T02:04:39.9358927Z  
2022-11-23T02:04:39.9359227Z 
2022-11-23T02:04:39.9360325Z [2022-11-23 02:00:57,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1295
2022-11-23T02:04:39.9361818Z [2022-11-23 02:00:57,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:39.9363645Z [2022-11-23 02:00:57,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.9366096Z [2022-11-23 02:00:57,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.9368086Z [2022-11-23 02:00:57,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.9370212Z [2022-11-23 02:00:57,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.9372323Z [2022-11-23 02:00:57,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.9374487Z [2022-11-23 02:00:57,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.9376558Z [2022-11-23 02:00:57,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:39.9378486Z [2022-11-23 02:00:57,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.9380270Z [2022-11-23 02:00:58,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1296
2022-11-23T02:04:39.9381843Z [2022-11-23 02:00:58,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:39.9383838Z [2022-11-23 02:00:58,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.9385989Z [2022-11-23 02:00:58,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.9388156Z [2022-11-23 02:00:58,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.9390537Z [2022-11-23 02:00:58,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.9392416Z [2022-11-23 02:00:58,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9394099Z [2022-11-23 02:00:58,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.9395867Z [2022-11-23 02:00:58,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1297
2022-11-23T02:04:39.9397553Z [2022-11-23 02:00:58,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9399720Z [2022-11-23 02:00:58,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.9402040Z [2022-11-23 02:00:58,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.9404324Z [2022-11-23 02:00:58,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.9406932Z [2022-11-23 02:00:58,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.9409888Z [2022-11-23 02:00:58,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.9412367Z [2022-11-23 02:00:58,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.9414455Z [2022-11-23 02:00:58,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9416668Z [2022-11-23 02:00:58,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.9418565Z [2022-11-23 02:00:58,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1298
2022-11-23T02:04:39.9420733Z [2022-11-23 02:00:58,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9423027Z [2022-11-23 02:00:58,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:39.9425492Z [2022-11-23 02:00:58,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:39.9427940Z [2022-11-23 02:00:58,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:39.9430556Z [2022-11-23 02:00:58,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.9432751Z [2022-11-23 02:00:58,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9434754Z [2022-11-23 02:00:58,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.9436696Z [2022-11-23 02:00:58,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1294
2022-11-23T02:04:39.9438593Z [2022-11-23 02:00:58,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9440216Z [2022-11-23 02:00:58,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.9442145Z [2022-11-23 02:00:58,015] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641132290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1293>
2022-11-23T02:04:39.9443884Z [2022-11-23 02:00:58,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.9445310Z [2022-11-23 02:00:58,016] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.9446705Z [2022-11-23 02:00:58,018] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.9448187Z [2022-11-23 02:00:58,029] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.9449804Z [2022-11-23 02:00:58,030] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.9450738Z  __compiled_fn_343 <eval_with_key>.2532 opcode, name, target, args, kwargs
2022-11-23T02:04:39.9451524Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.9452492Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.9453782Z call_function, unsqueeze, <built-in method unsqueeze of type object at 0x7fa5855aec60>, (add, -1), {}
2022-11-23T02:04:39.9454986Z call_function, add_1, <built-in function add>, (unsqueeze, 2), {}
2022-11-23T02:04:39.9456622Z call_function, unsqueeze_1, <built-in method unsqueeze of type object at 0x7fa5855aec60>, (ex_0_, 2), {}
2022-11-23T02:04:39.9457873Z call_function, add_2, <built-in function add>, (unsqueeze_1, 2), {}
2022-11-23T02:04:39.9458920Z call_function, add_3, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.9460265Z call_function, unsqueeze_2, <built-in method unsqueeze of type object at 0x7fa5855aec60>, (add_3, 0), {}
2022-11-23T02:04:39.9461486Z call_function, add_4, <built-in function add>, (unsqueeze_2, 2), {}
2022-11-23T02:04:39.9463181Z call_function, unsqueeze_3, <built-in method unsqueeze of type object at 0x7fa5855aec60>, (ex_0_, -2), {}
2022-11-23T02:04:39.9464483Z call_function, add_5, <built-in function add>, (unsqueeze_3, 2), {}
2022-11-23T02:04:39.9465363Z output, output, output, ((add_1, add_2, add_4, add_5),), {}
2022-11-23T02:04:39.9465865Z 
2022-11-23T02:04:39.9466974Z [2022-11-23 02:00:58,030] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.9468065Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.9468708Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.9469365Z               4 BUILD_MAP                0
2022-11-23T02:04:39.9470033Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.9470685Z               8 DICT_MERGE               1
2022-11-23T02:04:39.9471356Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.9471965Z              12 RETURN_VALUE
2022-11-23T02:04:39.9472342Z 
2022-11-23T02:04:39.9472515Z  
2022-11-23T02:04:39.9473879Z [2022-11-23 02:00:58,031] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.9475020Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_343)
2022-11-23T02:04:39.9475742Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.9476353Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.9476984Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.9477601Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.9478276Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.9479025Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9479721Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.9480308Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.9480982Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9481683Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.9482275Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.9482946Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9483633Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:39.9484201Z              28 BINARY_SUBSCR
2022-11-23T02:04:39.9484878Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9485573Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:39.9486205Z              34 BINARY_SUBSCR
2022-11-23T02:04:39.9486882Z              36 BUILD_TUPLE              4
2022-11-23T02:04:39.9487578Z              38 RETURN_VALUE
2022-11-23T02:04:39.9487947Z 
2022-11-23T02:04:39.9488155Z  
2022-11-23T02:04:39.9489494Z [2022-11-23 02:00:58,032] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.9490203Z  - 
2022-11-23T02:04:39.9490855Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.9491410Z             {
2022-11-23T02:04:39.9492165Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.9493184Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.9494025Z                 'obj_weakref': None
2022-11-23T02:04:39.9495125Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.9495878Z             }
2022-11-23T02:04:39.9496695Z             
2022-11-23T02:04:39.9497256Z  - 
2022-11-23T02:04:39.9497927Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.9498489Z             {
2022-11-23T02:04:39.9499250Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.9499998Z                 'code': None,
2022-11-23T02:04:39.9501011Z                 'obj_weakref': <weakref at 0x7fa5320be5c0; to 'Tensor' at 0x7fa62380d4e0>
2022-11-23T02:04:39.9502327Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.9503127Z             }
2022-11-23T02:04:39.9503988Z             
2022-11-23T02:04:39.9504519Z  - 
2022-11-23T02:04:39.9505221Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.9505829Z             {
2022-11-23T02:04:39.9506517Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.9507437Z                 'code': ['___check_obj_id(model, 140347485543088)'],
2022-11-23T02:04:39.9508244Z                 'obj_weakref': None
2022-11-23T02:04:39.9509308Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.9510062Z             }
2022-11-23T02:04:39.9510567Z             
2022-11-23T02:04:39.9511057Z  - 
2022-11-23T02:04:39.9511734Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.9512337Z             {
2022-11-23T02:04:39.9513050Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.9514145Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.9515067Z                 'obj_weakref': None
2022-11-23T02:04:39.9516173Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.9516881Z             }
2022-11-23T02:04:39.9517384Z             
2022-11-23T02:04:39.9517920Z  - 
2022-11-23T02:04:39.9518616Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:39.9519227Z             {
2022-11-23T02:04:39.9519881Z                 'guard_types': None,
2022-11-23T02:04:39.9520572Z                 'code': None,
2022-11-23T02:04:39.9521286Z                 'obj_weakref': None
2022-11-23T02:04:39.9522055Z                 'guarded_class': None
2022-11-23T02:04:39.9522601Z             }
2022-11-23T02:04:39.9523108Z             
2022-11-23T02:04:39.9524304Z [2022-11-23 02:00:58,052] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 335
2022-11-23T02:04:39.9526098Z [2022-11-23 02:01:00,713] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ai/cai73xzrrbaw3muoz5meu5n5afe7rti5dc3ey66rpiu52nrfoflg.py
2022-11-23T02:04:39.9527847Z [2022-11-23 02:01:00,714] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 335
2022-11-23T02:04:39.9528532Z 
2022-11-23T02:04:39.9528850Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.9529480Z import torch
2022-11-23T02:04:39.9529998Z import random
2022-11-23T02:04:39.9530721Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.9531592Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.9532119Z 
2022-11-23T02:04:39.9532353Z aten = torch.ops.aten
2022-11-23T02:04:39.9533157Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.9534005Z async_compile = AsyncCompile()
2022-11-23T02:04:39.9534862Z 
2022-11-23T02:04:39.9534890Z 
2022-11-23T02:04:39.9535341Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.9536753Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.9537897Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.9538693Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.9539380Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:39.9540085Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:39.9540806Z                        float* __restrict__ out_ptr3)
2022-11-23T02:04:39.9541371Z {
2022-11-23T02:04:39.9541982Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.9542180Z     {
2022-11-23T02:04:39.9542440Z         #pragma omp for 
2022-11-23T02:04:39.9542710Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.9542903Z         {
2022-11-23T02:04:39.9543393Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.9543863Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.9544133Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.9545018Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:39.9545316Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.9545584Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T02:04:39.9545881Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.9546150Z             tmp5.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.9546440Z             tmp4.store(out_ptr2 + 8*i0);
2022-11-23T02:04:39.9546738Z             tmp5.store(out_ptr3 + 8*i0);
2022-11-23T02:04:39.9546952Z         }
2022-11-23T02:04:39.9547253Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.9547524Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T02:04:39.9547701Z         {
2022-11-23T02:04:39.9547975Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.9548307Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.9548578Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.9548906Z             auto tmp3 = static_cast<float>(2);
2022-11-23T02:04:39.9549181Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.9549456Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T02:04:39.9549690Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:39.9549944Z             out_ptr1[i0] = tmp5;
2022-11-23T02:04:39.9550200Z             out_ptr2[i0] = tmp4;
2022-11-23T02:04:39.9550457Z             out_ptr3[i0] = tmp5;
2022-11-23T02:04:39.9550646Z         }
2022-11-23T02:04:39.9550852Z     }
2022-11-23T02:04:39.9551054Z }
2022-11-23T02:04:39.9551358Z ''')
2022-11-23T02:04:39.9551397Z 
2022-11-23T02:04:39.9551424Z 
2022-11-23T02:04:39.9551725Z async_compile.wait(globals())
2022-11-23T02:04:39.9551957Z del async_compile
2022-11-23T02:04:39.9551997Z 
2022-11-23T02:04:39.9552226Z def call(args):
2022-11-23T02:04:39.9552444Z     arg0_1, = args
2022-11-23T02:04:39.9552692Z     args.clear()
2022-11-23T02:04:39.9553423Z     buf0 = empty_strided((2, 2, 2, 2, 1), (8, 4, 2, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9554103Z     buf1 = empty_strided((2, 2, 1, 2, 2), (8, 4, 16, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9554768Z     buf2 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9555453Z     buf3 = empty_strided((2, 2, 2, 1, 2), (8, 4, 2, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9556162Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T02:04:39.9556380Z     del arg0_1
2022-11-23T02:04:39.9556663Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T02:04:39.9556705Z 
2022-11-23T02:04:39.9556731Z 
2022-11-23T02:04:39.9556969Z if __name__ == "__main__":
2022-11-23T02:04:39.9557354Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.9558030Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.9558683Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9559038Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.9559067Z 
2022-11-23T02:04:39.9559296Z ok (2.729s)
2022-11-23T02:04:39.9560350Z   test_unsqueeze_inplace_cpu (__main__.CpuTests) ... [2022-11-23 02:01:00,721] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.9561398Z [2022-11-23 02:01:00,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.9562093Z [2022-11-23 02:01:00,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.9562929Z [2022-11-23 02:01:00,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.9563831Z [2022-11-23 02:01:00,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.9564910Z [2022-11-23 02:01:00,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.9566325Z [2022-11-23 02:01:00,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.9567379Z [2022-11-23 02:01:00,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.9568637Z [2022-11-23 02:01:00,723] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa6411323f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1314> 
2022-11-23T02:04:39.9568929Z  1315           0 LOAD_FAST                0 (a)
2022-11-23T02:04:39.9569237Z                2 LOAD_CONST               1 (1)
2022-11-23T02:04:39.9569496Z                4 BINARY_ADD
2022-11-23T02:04:39.9569804Z                6 STORE_FAST               1 (tmp1)
2022-11-23T02:04:39.9569844Z 
2022-11-23T02:04:39.9570133Z 1316           8 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.9570479Z               10 LOAD_METHOD              1 (unsqueeze_)
2022-11-23T02:04:39.9570746Z               12 LOAD_FAST                1 (tmp1)
2022-11-23T02:04:39.9571037Z               14 LOAD_CONST               2 (2)
2022-11-23T02:04:39.9571330Z               16 CALL_METHOD              2
2022-11-23T02:04:39.9571560Z               18 POP_TOP
2022-11-23T02:04:39.9571589Z 
2022-11-23T02:04:39.9571889Z 1317          20 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.9572230Z               22 LOAD_METHOD              1 (unsqueeze_)
2022-11-23T02:04:39.9572516Z               24 LOAD_FAST                0 (a)
2022-11-23T02:04:39.9572807Z               26 LOAD_CONST               1 (1)
2022-11-23T02:04:39.9573023Z               28 BINARY_ADD
2022-11-23T02:04:39.9573310Z               30 LOAD_CONST               3 (0)
2022-11-23T02:04:39.9573599Z               32 CALL_METHOD              2
2022-11-23T02:04:39.9573877Z               34 LOAD_CONST               2 (2)
2022-11-23T02:04:39.9574127Z               36 BINARY_ADD
2022-11-23T02:04:39.9574449Z               38 STORE_FAST               2 (tmp2)
2022-11-23T02:04:39.9574476Z 
2022-11-23T02:04:39.9574769Z 1318          40 LOAD_FAST                1 (tmp1)
2022-11-23T02:04:39.9575045Z               42 LOAD_FAST                2 (tmp2)
2022-11-23T02:04:39.9575326Z               44 BUILD_TUPLE              2
2022-11-23T02:04:39.9575571Z               46 RETURN_VALUE
2022-11-23T02:04:39.9575766Z  
2022-11-23T02:04:39.9575795Z 
2022-11-23T02:04:39.9577349Z [2022-11-23 02:01:00,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1315
2022-11-23T02:04:39.9578051Z [2022-11-23 02:01:00,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:39.9579150Z [2022-11-23 02:01:00,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:39.9580096Z [2022-11-23 02:01:00,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.9580865Z [2022-11-23 02:01:00,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp1 [TensorVariable()]
2022-11-23T02:04:39.9581920Z [2022-11-23 02:01:00,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1316
2022-11-23T02:04:39.9582622Z [2022-11-23 02:01:00,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.9583672Z [2022-11-23 02:01:00,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.9584528Z [2022-11-23 02:01:00,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp1 [TorchVariable(aten.unsqueeze_)]
2022-11-23T02:04:39.9585489Z [2022-11-23 02:01:00,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T02:04:39.9586797Z [2022-11-23 02:01:00,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.9587688Z [2022-11-23 02:01:00,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T02:04:39.9588737Z [2022-11-23 02:01:00,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1317
2022-11-23T02:04:39.9589454Z [2022-11-23 02:01:00,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.9590465Z [2022-11-23 02:01:00,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.9591334Z [2022-11-23 02:01:00,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.unsqueeze_)]
2022-11-23T02:04:39.9592291Z [2022-11-23 02:01:00,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T02:04:39.9593409Z [2022-11-23 02:01:00,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.9594375Z [2022-11-23 02:01:00,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T02:04:39.9595472Z [2022-11-23 02:01:00,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.9596255Z [2022-11-23 02:01:00,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:39.9597206Z [2022-11-23 02:01:00,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.9598037Z [2022-11-23 02:01:01,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp2 [TensorVariable()]
2022-11-23T02:04:39.9599103Z [2022-11-23 02:01:01,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1318
2022-11-23T02:04:39.9599855Z [2022-11-23 02:01:01,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp1 []
2022-11-23T02:04:39.9600620Z [2022-11-23 02:01:01,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp2 [TensorVariable()]
2022-11-23T02:04:39.9601545Z [2022-11-23 02:01:01,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9602370Z [2022-11-23 02:01:01,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.9603967Z [2022-11-23 02:01:01,005] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa6411323f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1314>
2022-11-23T02:04:39.9604838Z [2022-11-23 02:01:01,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.9605610Z [2022-11-23 02:01:01,005] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.9606442Z [2022-11-23 02:01:01,008] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.9607266Z [2022-11-23 02:01:01,015] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.9607871Z [2022-11-23 02:01:01,015] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.9608280Z  __compiled_fn_344 <eval_with_key>.2538 opcode, name, target, args, kwargs
2022-11-23T02:04:39.9608560Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.9609145Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.9609547Z call_function, unsqueeze_, aten.unsqueeze_, (add, 2), {}
2022-11-23T02:04:39.9610119Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:39.9610691Z call_function, unsqueeze__1, aten.unsqueeze_, (add_1, 0), {}
2022-11-23T02:04:39.9611313Z call_function, add_2, <built-in function add>, (unsqueeze__1, 2), {}
2022-11-23T02:04:39.9611626Z output, output, output, ((add, add_2),), {}
2022-11-23T02:04:39.9611695Z 
2022-11-23T02:04:39.9612759Z [2022-11-23 02:01:01,016] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.9613062Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.9613355Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.9613638Z               4 BUILD_MAP                0
2022-11-23T02:04:39.9613937Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.9614240Z               8 DICT_MERGE               1
2022-11-23T02:04:39.9614534Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.9614741Z              12 RETURN_VALUE
2022-11-23T02:04:39.9614810Z 
2022-11-23T02:04:39.9614986Z  
2022-11-23T02:04:39.9616457Z [2022-11-23 02:01:01,016] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.9616848Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_344)
2022-11-23T02:04:39.9617132Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.9617418Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.9617663Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.9617959Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.9618256Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.9618583Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9618889Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.9619134Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.9619458Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9619754Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.9620008Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.9620256Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.9620509Z              26 RETURN_VALUE
2022-11-23T02:04:39.9620549Z 
2022-11-23T02:04:39.9620737Z  
2022-11-23T02:04:39.9621391Z [2022-11-23 02:01:01,017] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.9621605Z  - 
2022-11-23T02:04:39.9622003Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.9622206Z             {
2022-11-23T02:04:39.9622625Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.9623219Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.9623668Z                 'obj_weakref': None
2022-11-23T02:04:39.9624730Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.9624936Z             }
2022-11-23T02:04:39.9625142Z             
2022-11-23T02:04:39.9625373Z  - 
2022-11-23T02:04:39.9625758Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.9625967Z             {
2022-11-23T02:04:39.9626421Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.9626766Z                 'code': None,
2022-11-23T02:04:39.9627436Z                 'obj_weakref': <weakref at 0x7fa55003d350; to 'Tensor' at 0x7fa53c475e40>
2022-11-23T02:04:39.9628260Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.9628467Z             }
2022-11-23T02:04:39.9628633Z             
2022-11-23T02:04:39.9628868Z  - 
2022-11-23T02:04:39.9629283Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.9629495Z             {
2022-11-23T02:04:39.9629935Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.9630472Z                 'code': ['___check_obj_id(model, 140347485543088)'],
2022-11-23T02:04:39.9630850Z                 'obj_weakref': None
2022-11-23T02:04:39.9631737Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.9631946Z             }
2022-11-23T02:04:39.9632143Z             
2022-11-23T02:04:39.9632378Z  - 
2022-11-23T02:04:39.9632777Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.9632975Z             {
2022-11-23T02:04:39.9633427Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.9634086Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.9634468Z                 'obj_weakref': None
2022-11-23T02:04:39.9635178Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.9635367Z             }
2022-11-23T02:04:39.9635592Z             
2022-11-23T02:04:39.9635806Z  - 
2022-11-23T02:04:39.9636220Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.9636398Z             {
2022-11-23T02:04:39.9636792Z                 'guard_types': None,
2022-11-23T02:04:39.9637137Z                 'code': None,
2022-11-23T02:04:39.9637515Z                 'obj_weakref': None
2022-11-23T02:04:39.9637898Z                 'guarded_class': None
2022-11-23T02:04:39.9638090Z             }
2022-11-23T02:04:39.9638300Z             
2022-11-23T02:04:39.9639120Z [2022-11-23 02:01:01,030] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 336
2022-11-23T02:04:39.9640336Z [2022-11-23 02:01:03,680] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vs/cvscamavpmkekoddm2mp7gpcmvsgd44qmo4fu3tfznmew5nkuv3z.py
2022-11-23T02:04:39.9641202Z [2022-11-23 02:01:03,681] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 336
2022-11-23T02:04:39.9641260Z 
2022-11-23T02:04:39.9641565Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.9641797Z import torch
2022-11-23T02:04:39.9642018Z import random
2022-11-23T02:04:39.9642421Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.9642821Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.9642862Z 
2022-11-23T02:04:39.9643086Z aten = torch.ops.aten
2022-11-23T02:04:39.9643534Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.9643826Z async_compile = AsyncCompile()
2022-11-23T02:04:39.9643870Z 
2022-11-23T02:04:39.9643898Z 
2022-11-23T02:04:39.9644353Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.9645068Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.9645457Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.9645781Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.9646095Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.9646415Z {
2022-11-23T02:04:39.9646757Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.9646957Z     {
2022-11-23T02:04:39.9647217Z         #pragma omp for 
2022-11-23T02:04:39.9647481Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:39.9647691Z         {
2022-11-23T02:04:39.9648173Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:39.9648585Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:39.9648857Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.9649311Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:39.9649584Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.9649889Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:39.9650174Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T02:04:39.9650384Z         }
2022-11-23T02:04:39.9650684Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:39.9650967Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T02:04:39.9651172Z         {
2022-11-23T02:04:39.9651443Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:39.9651772Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:39.9652048Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:39.9652532Z             auto tmp3 = static_cast<float>(2);
2022-11-23T02:04:39.9652788Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:39.9653047Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:39.9653314Z             out_ptr1[i0] = tmp4;
2022-11-23T02:04:39.9653517Z         }
2022-11-23T02:04:39.9653719Z     }
2022-11-23T02:04:39.9653913Z }
2022-11-23T02:04:39.9654236Z ''')
2022-11-23T02:04:39.9654276Z 
2022-11-23T02:04:39.9654316Z 
2022-11-23T02:04:39.9654580Z async_compile.wait(globals())
2022-11-23T02:04:39.9654813Z del async_compile
2022-11-23T02:04:39.9654854Z 
2022-11-23T02:04:39.9655076Z def call(args):
2022-11-23T02:04:39.9655310Z     arg0_1, = args
2022-11-23T02:04:39.9655534Z     args.clear()
2022-11-23T02:04:39.9656623Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9657340Z     buf1 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9657879Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.9658079Z     del arg0_1
2022-11-23T02:04:39.9658441Z     return (as_strided(buf0, (2, 2, 1, 2, 2), (8, 4, 0, 2, 1)), buf1, )
2022-11-23T02:04:39.9658469Z 
2022-11-23T02:04:39.9658497Z 
2022-11-23T02:04:39.9658753Z if __name__ == "__main__":
2022-11-23T02:04:39.9659131Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.9659536Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.9660205Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9660571Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.9660612Z 
2022-11-23T02:04:39.9660829Z ok (2.966s)
2022-11-23T02:04:39.9661869Z   test_upsample_bicubic2d_cpu (__main__.CpuTests) ... [2022-11-23 02:01:03,691] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.9662938Z [2022-11-23 02:01:03,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.9663659Z [2022-11-23 02:01:03,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.9664477Z [2022-11-23 02:01:03,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.9665400Z [2022-11-23 02:01:03,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.9666453Z [2022-11-23 02:01:03,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.9668000Z [2022-11-23 02:01:03,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.9669110Z [2022-11-23 02:01:03,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.9670332Z [2022-11-23 02:01:03,693] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f88b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3074> 
2022-11-23T02:04:39.9670649Z  3076           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.9670984Z                2 LOAD_METHOD              1 (upsample_bicubic2d)
2022-11-23T02:04:39.9671285Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.9671583Z                6 LOAD_CONST               1 ((128, 128))
2022-11-23T02:04:39.9671876Z                8 LOAD_CONST               2 (True)
2022-11-23T02:04:39.9672164Z               10 CALL_METHOD              3
2022-11-23T02:04:39.9672209Z 
2022-11-23T02:04:39.9672497Z 3077          12 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.9672873Z               14 LOAD_METHOD              1 (upsample_bicubic2d)
2022-11-23T02:04:39.9673362Z               16 LOAD_FAST                0 (a)
2022-11-23T02:04:39.9673652Z               18 LOAD_CONST               3 ((128, 256))
2022-11-23T02:04:39.9673956Z               20 LOAD_CONST               4 (False)
2022-11-23T02:04:39.9674227Z               22 CALL_METHOD              3
2022-11-23T02:04:39.9674268Z 
2022-11-23T02:04:39.9674552Z 3075          24 BUILD_TUPLE              2
2022-11-23T02:04:39.9674788Z               26 RETURN_VALUE
2022-11-23T02:04:39.9674999Z  
2022-11-23T02:04:39.9675036Z 
2022-11-23T02:04:39.9676118Z [2022-11-23 02:01:03,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3076
2022-11-23T02:04:39.9676837Z [2022-11-23 02:01:03,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.9677921Z [2022-11-23 02:01:03,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bicubic2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.9678849Z [2022-11-23 02:01:03,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bicubic2d)]
2022-11-23T02:04:39.9679883Z [2022-11-23 02:01:03,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (128, 128) [TorchVariable(aten.upsample_bicubic2d), TensorVariable()]
2022-11-23T02:04:39.9681046Z [2022-11-23 02:01:03,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:39.9682347Z [2022-11-23 02:01:03,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple), ConstantVariable(bool)]
2022-11-23T02:04:39.9683409Z [2022-11-23 02:01:03,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3077
2022-11-23T02:04:39.9684212Z [2022-11-23 02:01:03,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.9685408Z [2022-11-23 02:01:03,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bicubic2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.9686340Z [2022-11-23 02:01:03,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_bicubic2d)]
2022-11-23T02:04:39.9687466Z [2022-11-23 02:01:03,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (128, 256) [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable()]
2022-11-23T02:04:39.9688791Z [2022-11-23 02:01:03,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:39.9690445Z [2022-11-23 02:01:03,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple), ConstantVariable(bool)]
2022-11-23T02:04:39.9691481Z [2022-11-23 02:01:04,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3075
2022-11-23T02:04:39.9692371Z [2022-11-23 02:01:04,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9693193Z [2022-11-23 02:01:04,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.9694436Z [2022-11-23 02:01:04,145] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f88b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3074>
2022-11-23T02:04:39.9695279Z [2022-11-23 02:01:04,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.9696015Z [2022-11-23 02:01:04,145] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.9697530Z [2022-11-23 02:01:04,147] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.9698378Z [2022-11-23 02:01:04,537] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.9698950Z [2022-11-23 02:01:04,538] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.9699397Z  __compiled_fn_345 <eval_with_key>.2544 opcode, name, target, args, kwargs
2022-11-23T02:04:39.9699661Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.9700179Z call_function, upsample_bicubic2d, aten.upsample_bicubic2d, (ex_0_, (128, 128), True), {}
2022-11-23T02:04:39.9700686Z call_function, upsample_bicubic2d_1, aten.upsample_bicubic2d, (ex_0_, (128, 256), False), {}
2022-11-23T02:04:39.9701174Z output, output, output, ((upsample_bicubic2d, upsample_bicubic2d_1),), {}
2022-11-23T02:04:39.9701216Z 
2022-11-23T02:04:39.9702316Z [2022-11-23 02:01:04,539] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.9702688Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.9702984Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.9703257Z               4 BUILD_MAP                0
2022-11-23T02:04:39.9703537Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.9703809Z               8 DICT_MERGE               1
2022-11-23T02:04:39.9704095Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.9704353Z              12 RETURN_VALUE
2022-11-23T02:04:39.9704379Z 
2022-11-23T02:04:39.9704583Z  
2022-11-23T02:04:39.9705671Z [2022-11-23 02:01:04,539] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.9706039Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_345)
2022-11-23T02:04:39.9706335Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.9706674Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.9706931Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.9707216Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.9707552Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.9707882Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9708163Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.9708411Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.9708712Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9708992Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.9709247Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.9709876Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.9710122Z              26 RETURN_VALUE
2022-11-23T02:04:39.9710161Z 
2022-11-23T02:04:39.9710351Z  
2022-11-23T02:04:39.9710952Z [2022-11-23 02:01:04,540] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.9711161Z  - 
2022-11-23T02:04:39.9711544Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.9711751Z             {
2022-11-23T02:04:39.9712206Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.9712801Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.9713172Z                 'obj_weakref': None
2022-11-23T02:04:39.9713894Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.9714072Z             }
2022-11-23T02:04:39.9714278Z             
2022-11-23T02:04:39.9714514Z  - 
2022-11-23T02:04:39.9714907Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.9715128Z             {
2022-11-23T02:04:39.9715578Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.9715915Z                 'code': None,
2022-11-23T02:04:39.9716559Z                 'obj_weakref': <weakref at 0x7fa53c48c040; to 'Tensor' at 0x7fa5505a9a30>
2022-11-23T02:04:39.9717499Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.9717710Z             }
2022-11-23T02:04:39.9717911Z             
2022-11-23T02:04:39.9718148Z  - 
2022-11-23T02:04:39.9718551Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.9718770Z             {
2022-11-23T02:04:39.9719174Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.9719714Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:39.9720106Z                 'obj_weakref': None
2022-11-23T02:04:39.9720827Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.9721041Z             }
2022-11-23T02:04:39.9721253Z             
2022-11-23T02:04:39.9721492Z  - 
2022-11-23T02:04:39.9721848Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.9722053Z             {
2022-11-23T02:04:39.9722491Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.9723198Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.9723571Z                 'obj_weakref': None
2022-11-23T02:04:39.9724308Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.9724516Z             }
2022-11-23T02:04:39.9724678Z             
2022-11-23T02:04:39.9724901Z  - 
2022-11-23T02:04:39.9725331Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.9725527Z             {
2022-11-23T02:04:39.9725922Z                 'guard_types': None,
2022-11-23T02:04:39.9726255Z                 'code': None,
2022-11-23T02:04:39.9726638Z                 'obj_weakref': None
2022-11-23T02:04:39.9727007Z                 'guarded_class': None
2022-11-23T02:04:39.9727227Z             }
2022-11-23T02:04:39.9727421Z             
2022-11-23T02:04:39.9728271Z [2022-11-23 02:01:04,924] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 337
2022-11-23T02:04:39.9728325Z 
2022-11-23T02:04:39.9728639Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.9728864Z import torch
2022-11-23T02:04:39.9729089Z import random
2022-11-23T02:04:39.9729460Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.9729866Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.9729893Z 
2022-11-23T02:04:39.9730153Z aten = torch.ops.aten
2022-11-23T02:04:39.9730604Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.9730905Z async_compile = AsyncCompile()
2022-11-23T02:04:39.9730945Z 
2022-11-23T02:04:39.9730972Z 
2022-11-23T02:04:39.9731423Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:39.9732296Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:39.9732712Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:39.9733011Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:39.9733334Z                        float* __restrict__ out_ptr1)
2022-11-23T02:04:39.9733542Z {
2022-11-23T02:04:39.9733866Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:39.9734087Z     {
2022-11-23T02:04:39.9734370Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.9734655Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:39.9734826Z         {
2022-11-23T02:04:39.9735096Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T02:04:39.9735313Z             {
2022-11-23T02:04:39.9735586Z                 #pragma GCC ivdep
2022-11-23T02:04:39.9735881Z                 for(long i2=0; i2<128; i2+=1)
2022-11-23T02:04:39.9736044Z                 {
2022-11-23T02:04:39.9736703Z                     {
2022-11-23T02:04:39.9736918Z                         {
2022-11-23T02:04:39.9737274Z                             auto tmp0 = static_cast<float>(i2);
2022-11-23T02:04:39.9737599Z                             auto tmp1 = 0.2440944881889764 * tmp0;
2022-11-23T02:04:39.9738298Z                             auto tmp2 = std::floor(tmp1);
2022-11-23T02:04:39.9738828Z                             auto tmp3 = tmp1 - tmp2;
2022-11-23T02:04:39.9739183Z                             auto tmp4 = static_cast<float>(i1);
2022-11-23T02:04:39.9739495Z                             auto tmp5 = 0.49606299212598426 * tmp4;
2022-11-23T02:04:39.9739794Z                             auto tmp6 = std::floor(tmp5);
2022-11-23T02:04:39.9740267Z                             auto tmp7 = tmp5 - tmp6;
2022-11-23T02:04:39.9740602Z                             auto tmp8 = static_cast<int>(tmp6);
2022-11-23T02:04:39.9740962Z                             auto tmp9 = static_cast<int>(tmp2);
2022-11-23T02:04:39.9741418Z                             auto tmp10 = tmp8 + -1;
2022-11-23T02:04:39.9741717Z                             auto tmp11 = tmp8 + 0;
2022-11-23T02:04:39.9742012Z                             auto tmp12 = tmp8 + 1;
2022-11-23T02:04:39.9742295Z                             auto tmp13 = tmp8 + 2;
2022-11-23T02:04:39.9742727Z                             auto tmp14 = tmp9 + -1;
2022-11-23T02:04:39.9743021Z                             auto tmp15 = tmp9 + 0;
2022-11-23T02:04:39.9743298Z                             auto tmp16 = tmp9 + 1;
2022-11-23T02:04:39.9743583Z                             auto tmp17 = tmp9 + 2;
2022-11-23T02:04:39.9743944Z                             auto tmp18 = std::min(63, tmp10);
2022-11-23T02:04:39.9744279Z                             auto tmp19 = std::max(0, tmp18);
2022-11-23T02:04:39.9744614Z                             auto tmp20 = std::min(31, tmp14);
2022-11-23T02:04:39.9744922Z                             auto tmp21 = std::max(0, tmp20);
2022-11-23T02:04:39.9745308Z                             auto tmp22 = in_ptr0[tmp21 + (32*tmp19) + (2048*i0)];
2022-11-23T02:04:39.9745655Z                             auto tmp23 = std::min(31, tmp15);
2022-11-23T02:04:39.9745994Z                             auto tmp24 = std::max(0, tmp23);
2022-11-23T02:04:39.9746380Z                             auto tmp25 = in_ptr0[tmp24 + (32*tmp19) + (2048*i0)];
2022-11-23T02:04:39.9746736Z                             auto tmp26 = std::min(31, tmp16);
2022-11-23T02:04:39.9747079Z                             auto tmp27 = std::max(0, tmp26);
2022-11-23T02:04:39.9747455Z                             auto tmp28 = in_ptr0[tmp27 + (32*tmp19) + (2048*i0)];
2022-11-23T02:04:39.9747802Z                             auto tmp29 = std::min(31, tmp17);
2022-11-23T02:04:39.9748115Z                             auto tmp30 = std::max(0, tmp29);
2022-11-23T02:04:39.9748486Z                             auto tmp31 = in_ptr0[tmp30 + (32*tmp19) + (2048*i0)];
2022-11-23T02:04:39.9748784Z                             auto tmp32 = tmp3 + 1.0;
2022-11-23T02:04:39.9749272Z                             auto tmp33 = -0.75 * tmp32;
2022-11-23T02:04:39.9750062Z                             auto tmp34 = tmp33 - -3.75;
2022-11-23T02:04:39.9750367Z                             auto tmp35 = tmp34 * tmp32;
2022-11-23T02:04:39.9750833Z                             auto tmp36 = tmp35 + -6.0;
2022-11-23T02:04:39.9751112Z                             auto tmp37 = tmp36 * tmp32;
2022-11-23T02:04:39.9751594Z                             auto tmp38 = tmp37 - -3.0;
2022-11-23T02:04:39.9751903Z                             auto tmp39 = 1.25 * tmp3;
2022-11-23T02:04:39.9752379Z                             auto tmp40 = tmp39 - 2.25;
2022-11-23T02:04:39.9752694Z                             auto tmp41 = tmp40 * tmp3;
2022-11-23T02:04:39.9753006Z                             auto tmp42 = tmp41 * tmp3;
2022-11-23T02:04:39.9753309Z                             auto tmp43 = tmp42 + 1.0;
2022-11-23T02:04:39.9753748Z                             auto tmp44 = 1.0 - tmp3;
2022-11-23T02:04:39.9754025Z                             auto tmp45 = 1.25 * tmp44;
2022-11-23T02:04:39.9754493Z                             auto tmp46 = tmp45 - 2.25;
2022-11-23T02:04:39.9754803Z                             auto tmp47 = tmp46 * tmp44;
2022-11-23T02:04:39.9755132Z                             auto tmp48 = tmp47 * tmp44;
2022-11-23T02:04:39.9755569Z                             auto tmp49 = tmp48 + 1.0;
2022-11-23T02:04:39.9755889Z                             auto tmp50 = tmp44 + 1.0;
2022-11-23T02:04:39.9756358Z                             auto tmp51 = -0.75 * tmp50;
2022-11-23T02:04:39.9756791Z                             auto tmp52 = tmp51 - -3.75;
2022-11-23T02:04:39.9757092Z                             auto tmp53 = tmp52 * tmp50;
2022-11-23T02:04:39.9757564Z                             auto tmp54 = tmp53 + -6.0;
2022-11-23T02:04:39.9757891Z                             auto tmp55 = tmp54 * tmp50;
2022-11-23T02:04:39.9758348Z                             auto tmp56 = tmp55 - -3.0;
2022-11-23T02:04:39.9758674Z                             auto tmp57 = tmp22 * tmp38;
2022-11-23T02:04:39.9758996Z                             auto tmp58 = tmp25 * tmp43;
2022-11-23T02:04:39.9759285Z                             auto tmp59 = tmp28 * tmp49;
2022-11-23T02:04:39.9759594Z                             auto tmp60 = tmp31 * tmp56;
2022-11-23T02:04:39.9759911Z                             auto tmp61 = tmp59 + tmp60;
2022-11-23T02:04:39.9760203Z                             auto tmp62 = tmp58 + tmp61;
2022-11-23T02:04:39.9760517Z                             auto tmp63 = tmp57 + tmp62;
2022-11-23T02:04:39.9760886Z                             auto tmp64 = std::min(63, tmp11);
2022-11-23T02:04:39.9761238Z                             auto tmp65 = std::max(0, tmp64);
2022-11-23T02:04:39.9761618Z                             auto tmp66 = in_ptr0[tmp21 + (32*tmp65) + (2048*i0)];
2022-11-23T02:04:39.9761966Z                             auto tmp67 = in_ptr0[tmp24 + (32*tmp65) + (2048*i0)];
2022-11-23T02:04:39.9762352Z                             auto tmp68 = in_ptr0[tmp27 + (32*tmp65) + (2048*i0)];
2022-11-23T02:04:39.9762742Z                             auto tmp69 = in_ptr0[tmp30 + (32*tmp65) + (2048*i0)];
2022-11-23T02:04:39.9763051Z                             auto tmp70 = tmp66 * tmp38;
2022-11-23T02:04:39.9763356Z                             auto tmp71 = tmp67 * tmp43;
2022-11-23T02:04:39.9763684Z                             auto tmp72 = tmp68 * tmp49;
2022-11-23T02:04:39.9763985Z                             auto tmp73 = tmp69 * tmp56;
2022-11-23T02:04:39.9764296Z                             auto tmp74 = tmp72 + tmp73;
2022-11-23T02:04:39.9764576Z                             auto tmp75 = tmp71 + tmp74;
2022-11-23T02:04:39.9764875Z                             auto tmp76 = tmp70 + tmp75;
2022-11-23T02:04:39.9765225Z                             auto tmp77 = std::min(63, tmp12);
2022-11-23T02:04:39.9765551Z                             auto tmp78 = std::max(0, tmp77);
2022-11-23T02:04:39.9765933Z                             auto tmp79 = in_ptr0[tmp21 + (32*tmp78) + (2048*i0)];
2022-11-23T02:04:39.9766466Z                             auto tmp80 = in_ptr0[tmp24 + (32*tmp78) + (2048*i0)];
2022-11-23T02:04:39.9766856Z                             auto tmp81 = in_ptr0[tmp27 + (32*tmp78) + (2048*i0)];
2022-11-23T02:04:39.9767248Z                             auto tmp82 = in_ptr0[tmp30 + (32*tmp78) + (2048*i0)];
2022-11-23T02:04:39.9767526Z                             auto tmp83 = tmp79 * tmp38;
2022-11-23T02:04:39.9767840Z                             auto tmp84 = tmp80 * tmp43;
2022-11-23T02:04:39.9768167Z                             auto tmp85 = tmp81 * tmp49;
2022-11-23T02:04:39.9768466Z                             auto tmp86 = tmp82 * tmp56;
2022-11-23T02:04:39.9768780Z                             auto tmp87 = tmp85 + tmp86;
2022-11-23T02:04:39.9769087Z                             auto tmp88 = tmp84 + tmp87;
2022-11-23T02:04:39.9769389Z                             auto tmp89 = tmp83 + tmp88;
2022-11-23T02:04:39.9769711Z                             auto tmp90 = std::min(63, tmp13);
2022-11-23T02:04:39.9770075Z                             auto tmp91 = std::max(0, tmp90);
2022-11-23T02:04:39.9770461Z                             auto tmp92 = in_ptr0[tmp21 + (32*tmp91) + (2048*i0)];
2022-11-23T02:04:39.9770834Z                             auto tmp93 = in_ptr0[tmp24 + (32*tmp91) + (2048*i0)];
2022-11-23T02:04:39.9771351Z                             auto tmp94 = in_ptr0[tmp27 + (32*tmp91) + (2048*i0)];
2022-11-23T02:04:39.9771749Z                             auto tmp95 = in_ptr0[tmp30 + (32*tmp91) + (2048*i0)];
2022-11-23T02:04:39.9772059Z                             auto tmp96 = tmp92 * tmp38;
2022-11-23T02:04:39.9772370Z                             auto tmp97 = tmp93 * tmp43;
2022-11-23T02:04:39.9772649Z                             auto tmp98 = tmp94 * tmp49;
2022-11-23T02:04:39.9772954Z                             auto tmp99 = tmp95 * tmp56;
2022-11-23T02:04:39.9773269Z                             auto tmp100 = tmp98 + tmp99;
2022-11-23T02:04:39.9773588Z                             auto tmp101 = tmp97 + tmp100;
2022-11-23T02:04:39.9773914Z                             auto tmp102 = tmp96 + tmp101;
2022-11-23T02:04:39.9774215Z                             auto tmp103 = tmp7 + 1.0;
2022-11-23T02:04:39.9774785Z                             auto tmp104 = -0.75 * tmp103;
2022-11-23T02:04:39.9775291Z                             auto tmp105 = tmp104 - -3.75;
2022-11-23T02:04:39.9775590Z                             auto tmp106 = tmp105 * tmp103;
2022-11-23T02:04:39.9776017Z                             auto tmp107 = tmp106 + -6.0;
2022-11-23T02:04:39.9776771Z                             auto tmp108 = tmp107 * tmp103;
2022-11-23T02:04:39.9777283Z                             auto tmp109 = tmp108 - -3.0;
2022-11-23T02:04:39.9777582Z                             auto tmp110 = 1.25 * tmp7;
2022-11-23T02:04:39.9778068Z                             auto tmp111 = tmp110 - 2.25;
2022-11-23T02:04:39.9778381Z                             auto tmp112 = tmp111 * tmp7;
2022-11-23T02:04:39.9778670Z                             auto tmp113 = tmp112 * tmp7;
2022-11-23T02:04:39.9778985Z                             auto tmp114 = tmp113 + 1.0;
2022-11-23T02:04:39.9779439Z                             auto tmp115 = 1.0 - tmp7;
2022-11-23T02:04:39.9779744Z                             auto tmp116 = 1.25 * tmp115;
2022-11-23T02:04:39.9780232Z                             auto tmp117 = tmp116 - 2.25;
2022-11-23T02:04:39.9780556Z                             auto tmp118 = tmp117 * tmp115;
2022-11-23T02:04:39.9780869Z                             auto tmp119 = tmp118 * tmp115;
2022-11-23T02:04:39.9781178Z                             auto tmp120 = tmp119 + 1.0;
2022-11-23T02:04:39.9781463Z                             auto tmp121 = tmp115 + 1.0;
2022-11-23T02:04:39.9781933Z                             auto tmp122 = -0.75 * tmp121;
2022-11-23T02:04:39.9782417Z                             auto tmp123 = tmp122 - -3.75;
2022-11-23T02:04:39.9782731Z                             auto tmp124 = tmp123 * tmp121;
2022-11-23T02:04:39.9783217Z                             auto tmp125 = tmp124 + -6.0;
2022-11-23T02:04:39.9783829Z                             auto tmp126 = tmp125 * tmp121;
2022-11-23T02:04:39.9784312Z                             auto tmp127 = tmp126 - -3.0;
2022-11-23T02:04:39.9784596Z                             auto tmp128 = tmp63 * tmp109;
2022-11-23T02:04:39.9784916Z                             auto tmp129 = tmp76 * tmp114;
2022-11-23T02:04:39.9785311Z                             auto tmp130 = tmp89 * tmp120;
2022-11-23T02:04:39.9785635Z                             auto tmp131 = tmp102 * tmp127;
2022-11-23T02:04:39.9785954Z                             auto tmp132 = tmp130 + tmp131;
2022-11-23T02:04:39.9786256Z                             auto tmp133 = tmp129 + tmp132;
2022-11-23T02:04:39.9786576Z                             auto tmp134 = tmp128 + tmp133;
2022-11-23T02:04:39.9786926Z                             out_ptr0[i2 + (128*i1) + (16384*i0)] = tmp134;
2022-11-23T02:04:39.9787116Z                         }
2022-11-23T02:04:39.9787329Z                     }
2022-11-23T02:04:39.9787550Z                 }
2022-11-23T02:04:39.9787815Z             }
2022-11-23T02:04:39.9788019Z         }
2022-11-23T02:04:39.9788330Z         #pragma omp for  collapse(2)
2022-11-23T02:04:39.9788562Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:39.9788765Z         {
2022-11-23T02:04:39.9789215Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T02:04:39.9789435Z             {
2022-11-23T02:04:39.9789708Z                 #pragma GCC ivdep
2022-11-23T02:04:39.9789992Z                 for(long i2=0; i2<256; i2+=1)
2022-11-23T02:04:39.9790194Z                 {
2022-11-23T02:04:39.9790386Z                     {
2022-11-23T02:04:39.9790605Z                         {
2022-11-23T02:04:39.9790969Z                             auto tmp0 = static_cast<float>(i2);
2022-11-23T02:04:39.9791265Z                             auto tmp1 = tmp0 + 0.5;
2022-11-23T02:04:39.9791572Z                             auto tmp2 = 0.125 * tmp1;
2022-11-23T02:04:39.9792046Z                             auto tmp3 = tmp2 - 0.5;
2022-11-23T02:04:39.9792414Z                             auto tmp4 = std::floor(tmp3);
2022-11-23T02:04:39.9792839Z                             auto tmp5 = tmp3 - tmp4;
2022-11-23T02:04:39.9793193Z                             auto tmp6 = static_cast<float>(i1);
2022-11-23T02:04:39.9793499Z                             auto tmp7 = tmp6 + 0.5;
2022-11-23T02:04:39.9793786Z                             auto tmp8 = 0.5 * tmp7;
2022-11-23T02:04:39.9794230Z                             auto tmp9 = tmp8 - 0.5;
2022-11-23T02:04:39.9794579Z                             auto tmp10 = std::floor(tmp9);
2022-11-23T02:04:39.9795054Z                             auto tmp11 = tmp9 - tmp10;
2022-11-23T02:04:39.9795397Z                             auto tmp12 = static_cast<int>(tmp10);
2022-11-23T02:04:39.9795735Z                             auto tmp13 = static_cast<int>(tmp4);
2022-11-23T02:04:39.9796194Z                             auto tmp14 = tmp12 + -1;
2022-11-23T02:04:39.9796489Z                             auto tmp15 = tmp12 + 0;
2022-11-23T02:04:39.9796804Z                             auto tmp16 = tmp12 + 1;
2022-11-23T02:04:39.9797103Z                             auto tmp17 = tmp12 + 2;
2022-11-23T02:04:39.9797557Z                             auto tmp18 = tmp13 + -1;
2022-11-23T02:04:39.9797864Z                             auto tmp19 = tmp13 + 0;
2022-11-23T02:04:39.9798129Z                             auto tmp20 = tmp13 + 1;
2022-11-23T02:04:39.9798416Z                             auto tmp21 = tmp13 + 2;
2022-11-23T02:04:39.9798770Z                             auto tmp22 = std::min(63, tmp14);
2022-11-23T02:04:39.9799095Z                             auto tmp23 = std::max(0, tmp22);
2022-11-23T02:04:39.9799442Z                             auto tmp24 = std::min(31, tmp18);
2022-11-23T02:04:39.9799774Z                             auto tmp25 = std::max(0, tmp24);
2022-11-23T02:04:39.9800145Z                             auto tmp26 = in_ptr0[tmp25 + (32*tmp23) + (2048*i0)];
2022-11-23T02:04:39.9800489Z                             auto tmp27 = std::min(31, tmp19);
2022-11-23T02:04:39.9800947Z                             auto tmp28 = std::max(0, tmp27);
2022-11-23T02:04:39.9801315Z                             auto tmp29 = in_ptr0[tmp28 + (32*tmp23) + (2048*i0)];
2022-11-23T02:04:39.9801675Z                             auto tmp30 = std::min(31, tmp20);
2022-11-23T02:04:39.9801998Z                             auto tmp31 = std::max(0, tmp30);
2022-11-23T02:04:39.9802387Z                             auto tmp32 = in_ptr0[tmp31 + (32*tmp23) + (2048*i0)];
2022-11-23T02:04:39.9802722Z                             auto tmp33 = std::min(31, tmp21);
2022-11-23T02:04:39.9803058Z                             auto tmp34 = std::max(0, tmp33);
2022-11-23T02:04:39.9803440Z                             auto tmp35 = in_ptr0[tmp34 + (32*tmp23) + (2048*i0)];
2022-11-23T02:04:39.9803717Z                             auto tmp36 = tmp5 + 1.0;
2022-11-23T02:04:39.9804219Z                             auto tmp37 = -0.75 * tmp36;
2022-11-23T02:04:39.9804687Z                             auto tmp38 = tmp37 - -3.75;
2022-11-23T02:04:39.9805022Z                             auto tmp39 = tmp38 * tmp36;
2022-11-23T02:04:39.9805487Z                             auto tmp40 = tmp39 + -6.0;
2022-11-23T02:04:39.9805921Z                             auto tmp41 = tmp40 * tmp36;
2022-11-23T02:04:39.9806413Z                             auto tmp42 = tmp41 - -3.0;
2022-11-23T02:04:39.9806714Z                             auto tmp43 = 1.25 * tmp5;
2022-11-23T02:04:39.9807151Z                             auto tmp44 = tmp43 - 2.25;
2022-11-23T02:04:39.9807463Z                             auto tmp45 = tmp44 * tmp5;
2022-11-23T02:04:39.9807775Z                             auto tmp46 = tmp45 * tmp5;
2022-11-23T02:04:39.9808071Z                             auto tmp47 = tmp46 + 1.0;
2022-11-23T02:04:39.9808529Z                             auto tmp48 = 1.0 - tmp5;
2022-11-23T02:04:39.9808828Z                             auto tmp49 = 1.25 * tmp48;
2022-11-23T02:04:39.9809295Z                             auto tmp50 = tmp49 - 2.25;
2022-11-23T02:04:39.9809592Z                             auto tmp51 = tmp50 * tmp48;
2022-11-23T02:04:39.9809887Z                             auto tmp52 = tmp51 * tmp48;
2022-11-23T02:04:39.9810203Z                             auto tmp53 = tmp52 + 1.0;
2022-11-23T02:04:39.9810508Z                             auto tmp54 = tmp48 + 1.0;
2022-11-23T02:04:39.9810987Z                             auto tmp55 = -0.75 * tmp54;
2022-11-23T02:04:39.9811451Z                             auto tmp56 = tmp55 - -3.75;
2022-11-23T02:04:39.9811758Z                             auto tmp57 = tmp56 * tmp54;
2022-11-23T02:04:39.9812185Z                             auto tmp58 = tmp57 + -6.0;
2022-11-23T02:04:39.9812516Z                             auto tmp59 = tmp58 * tmp54;
2022-11-23T02:04:39.9812970Z                             auto tmp60 = tmp59 - -3.0;
2022-11-23T02:04:39.9813278Z                             auto tmp61 = tmp26 * tmp42;
2022-11-23T02:04:39.9813593Z                             auto tmp62 = tmp29 * tmp47;
2022-11-23T02:04:39.9813915Z                             auto tmp63 = tmp32 * tmp53;
2022-11-23T02:04:39.9814232Z                             auto tmp64 = tmp35 * tmp60;
2022-11-23T02:04:39.9814539Z                             auto tmp65 = tmp63 + tmp64;
2022-11-23T02:04:39.9814825Z                             auto tmp66 = tmp62 + tmp65;
2022-11-23T02:04:39.9815136Z                             auto tmp67 = tmp61 + tmp66;
2022-11-23T02:04:39.9815490Z                             auto tmp68 = std::min(63, tmp15);
2022-11-23T02:04:39.9815845Z                             auto tmp69 = std::max(0, tmp68);
2022-11-23T02:04:39.9817092Z                             auto tmp70 = in_ptr0[tmp25 + (32*tmp69) + (2048*i0)];
2022-11-23T02:04:39.9817519Z                             auto tmp71 = in_ptr0[tmp28 + (32*tmp69) + (2048*i0)];
2022-11-23T02:04:39.9817894Z                             auto tmp72 = in_ptr0[tmp31 + (32*tmp69) + (2048*i0)];
2022-11-23T02:04:39.9818283Z                             auto tmp73 = in_ptr0[tmp34 + (32*tmp69) + (2048*i0)];
2022-11-23T02:04:39.9818876Z                             auto tmp74 = tmp70 * tmp42;
2022-11-23T02:04:39.9819186Z                             auto tmp75 = tmp71 * tmp47;
2022-11-23T02:04:39.9819496Z                             auto tmp76 = tmp72 * tmp53;
2022-11-23T02:04:39.9819782Z                             auto tmp77 = tmp73 * tmp60;
2022-11-23T02:04:39.9820090Z                             auto tmp78 = tmp76 + tmp77;
2022-11-23T02:04:39.9820395Z                             auto tmp79 = tmp75 + tmp78;
2022-11-23T02:04:39.9820711Z                             auto tmp80 = tmp74 + tmp79;
2022-11-23T02:04:39.9821037Z                             auto tmp81 = std::min(63, tmp16);
2022-11-23T02:04:39.9821371Z                             auto tmp82 = std::max(0, tmp81);
2022-11-23T02:04:39.9821748Z                             auto tmp83 = in_ptr0[tmp25 + (32*tmp82) + (2048*i0)];
2022-11-23T02:04:39.9822117Z                             auto tmp84 = in_ptr0[tmp28 + (32*tmp82) + (2048*i0)];
2022-11-23T02:04:39.9822496Z                             auto tmp85 = in_ptr0[tmp31 + (32*tmp82) + (2048*i0)];
2022-11-23T02:04:39.9822872Z                             auto tmp86 = in_ptr0[tmp34 + (32*tmp82) + (2048*i0)];
2022-11-23T02:04:39.9823317Z                             auto tmp87 = tmp83 * tmp42;
2022-11-23T02:04:39.9823646Z                             auto tmp88 = tmp84 * tmp47;
2022-11-23T02:04:39.9823928Z                             auto tmp89 = tmp85 * tmp53;
2022-11-23T02:04:39.9824230Z                             auto tmp90 = tmp86 * tmp60;
2022-11-23T02:04:39.9824542Z                             auto tmp91 = tmp89 + tmp90;
2022-11-23T02:04:39.9824848Z                             auto tmp92 = tmp88 + tmp91;
2022-11-23T02:04:39.9825161Z                             auto tmp93 = tmp87 + tmp92;
2022-11-23T02:04:39.9825504Z                             auto tmp94 = std::min(63, tmp17);
2022-11-23T02:04:39.9825835Z                             auto tmp95 = std::max(0, tmp94);
2022-11-23T02:04:39.9826227Z                             auto tmp96 = in_ptr0[tmp25 + (32*tmp95) + (2048*i0)];
2022-11-23T02:04:39.9826581Z                             auto tmp97 = in_ptr0[tmp28 + (32*tmp95) + (2048*i0)];
2022-11-23T02:04:39.9826954Z                             auto tmp98 = in_ptr0[tmp31 + (32*tmp95) + (2048*i0)];
2022-11-23T02:04:39.9827336Z                             auto tmp99 = in_ptr0[tmp34 + (32*tmp95) + (2048*i0)];
2022-11-23T02:04:39.9827658Z                             auto tmp100 = tmp96 * tmp42;
2022-11-23T02:04:39.9827968Z                             auto tmp101 = tmp97 * tmp47;
2022-11-23T02:04:39.9828282Z                             auto tmp102 = tmp98 * tmp53;
2022-11-23T02:04:39.9828598Z                             auto tmp103 = tmp99 * tmp60;
2022-11-23T02:04:39.9828922Z                             auto tmp104 = tmp102 + tmp103;
2022-11-23T02:04:39.9829210Z                             auto tmp105 = tmp101 + tmp104;
2022-11-23T02:04:39.9829533Z                             auto tmp106 = tmp100 + tmp105;
2022-11-23T02:04:39.9829861Z                             auto tmp107 = tmp11 + 1.0;
2022-11-23T02:04:39.9830461Z                             auto tmp108 = -0.75 * tmp107;
2022-11-23T02:04:39.9830939Z                             auto tmp109 = tmp108 - -3.75;
2022-11-23T02:04:39.9831259Z                             auto tmp110 = tmp109 * tmp107;
2022-11-23T02:04:39.9831738Z                             auto tmp111 = tmp110 + -6.0;
2022-11-23T02:04:39.9832032Z                             auto tmp112 = tmp111 * tmp107;
2022-11-23T02:04:39.9832507Z                             auto tmp113 = tmp112 - -3.0;
2022-11-23T02:04:39.9832814Z                             auto tmp114 = 1.25 * tmp11;
2022-11-23T02:04:39.9833290Z                             auto tmp115 = tmp114 - 2.25;
2022-11-23T02:04:39.9833616Z                             auto tmp116 = tmp115 * tmp11;
2022-11-23T02:04:39.9833933Z                             auto tmp117 = tmp116 * tmp11;
2022-11-23T02:04:39.9834250Z                             auto tmp118 = tmp117 + 1.0;
2022-11-23T02:04:39.9834940Z                             auto tmp119 = 1.0 - tmp11;
2022-11-23T02:04:39.9835217Z                             auto tmp120 = 1.25 * tmp119;
2022-11-23T02:04:39.9835687Z                             auto tmp121 = tmp120 - 2.25;
2022-11-23T02:04:39.9836025Z                             auto tmp122 = tmp121 * tmp119;
2022-11-23T02:04:39.9836355Z                             auto tmp123 = tmp122 * tmp119;
2022-11-23T02:04:39.9836645Z                             auto tmp124 = tmp123 + 1.0;
2022-11-23T02:04:39.9836950Z                             auto tmp125 = tmp119 + 1.0;
2022-11-23T02:04:39.9837441Z                             auto tmp126 = -0.75 * tmp125;
2022-11-23T02:04:39.9837896Z                             auto tmp127 = tmp126 - -3.75;
2022-11-23T02:04:39.9838226Z                             auto tmp128 = tmp127 * tmp125;
2022-11-23T02:04:39.9838715Z                             auto tmp129 = tmp128 + -6.0;
2022-11-23T02:04:39.9839032Z                             auto tmp130 = tmp129 * tmp125;
2022-11-23T02:04:39.9839518Z                             auto tmp131 = tmp130 - -3.0;
2022-11-23T02:04:39.9839853Z                             auto tmp132 = tmp67 * tmp113;
2022-11-23T02:04:39.9840293Z                             auto tmp133 = tmp80 * tmp118;
2022-11-23T02:04:39.9840614Z                             auto tmp134 = tmp93 * tmp124;
2022-11-23T02:04:39.9840905Z                             auto tmp135 = tmp106 * tmp131;
2022-11-23T02:04:39.9841224Z                             auto tmp136 = tmp134 + tmp135;
2022-11-23T02:04:39.9841545Z                             auto tmp137 = tmp133 + tmp136;
2022-11-23T02:04:39.9841872Z                             auto tmp138 = tmp132 + tmp137;
2022-11-23T02:04:39.9842215Z                             out_ptr1[i2 + (256*i1) + (32768*i0)] = tmp138;
2022-11-23T02:04:39.9842416Z                         }
2022-11-23T02:04:39.9865286Z                     }
2022-11-23T02:04:39.9865754Z                 }
2022-11-23T02:04:39.9866024Z             }
2022-11-23T02:04:39.9866247Z         }
2022-11-23T02:04:39.9866464Z     }
2022-11-23T02:04:39.9866624Z }
2022-11-23T02:04:39.9867099Z ''')
2022-11-23T02:04:39.9867154Z 
2022-11-23T02:04:39.9867181Z 
2022-11-23T02:04:39.9867565Z async_compile.wait(globals())
2022-11-23T02:04:39.9867837Z del async_compile
2022-11-23T02:04:39.9867865Z 
2022-11-23T02:04:39.9868127Z def call(args):
2022-11-23T02:04:39.9868384Z     arg0_1, = args
2022-11-23T02:04:39.9868628Z     args.clear()
2022-11-23T02:04:39.9869463Z     buf0 = empty_strided((4, 3, 128, 128), (49152, 16384, 128, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9870145Z     buf1 = empty_strided((4, 3, 128, 256), (98304, 32768, 256, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9870692Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:39.9870937Z     del arg0_1
2022-11-23T02:04:39.9871209Z     return (buf0, buf1, )
2022-11-23T02:04:39.9871249Z 
2022-11-23T02:04:39.9871290Z 
2022-11-23T02:04:39.9871549Z if __name__ == "__main__":
2022-11-23T02:04:39.9871936Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.9872366Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.9873097Z     arg0_1 = rand_strided((4, 3, 64, 32), (6144, 2048, 32, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9873426Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.9874646Z [2022-11-23 02:01:07,943] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/he/chex732osbpuxs4s3sebs5trko4jfimkyeu4epsikjwkijipwnel.py
2022-11-23T02:04:39.9875559Z [2022-11-23 02:01:07,944] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 337
2022-11-23T02:04:39.9875588Z 
2022-11-23T02:04:39.9875832Z ok (4.271s)
2022-11-23T02:04:39.9876936Z   test_upsample_bilinear2d_a_cpu (__main__.CpuTests) ... [2022-11-23 02:01:07,961] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.9878633Z [2022-11-23 02:01:07,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.9879368Z [2022-11-23 02:01:07,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.9880231Z [2022-11-23 02:01:07,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.9881194Z [2022-11-23 02:01:07,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.9882280Z [2022-11-23 02:01:07,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.9883405Z [2022-11-23 02:01:07,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.9884458Z [2022-11-23 02:01:07,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.9886065Z [2022-11-23 02:01:07,962] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f883a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3007> 
2022-11-23T02:04:39.9886410Z  3009           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.9886802Z                2 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T02:04:39.9887120Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.9887432Z                6 LOAD_CONST               1 (45)
2022-11-23T02:04:39.9887851Z                8 LOAD_CONST               1 (45)
2022-11-23T02:04:39.9888102Z               10 BUILD_LIST               2
2022-11-23T02:04:39.9888431Z               12 LOAD_CONST               2 (False)
2022-11-23T02:04:39.9888733Z               14 LOAD_CONST               0 (None)
2022-11-23T02:04:39.9889048Z               16 CALL_METHOD              4
2022-11-23T02:04:39.9889090Z 
2022-11-23T02:04:39.9889394Z 3010          18 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.9889770Z               20 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T02:04:39.9890094Z               22 LOAD_FAST                0 (a)
2022-11-23T02:04:39.9890390Z               24 LOAD_CONST               0 (None)
2022-11-23T02:04:39.9890652Z               26 LOAD_CONST               3 (True)
2022-11-23T02:04:39.9890961Z               28 LOAD_CONST               4 (2.0)
2022-11-23T02:04:39.9891271Z               30 LOAD_CONST               4 (2.0)
2022-11-23T02:04:39.9891561Z               32 BUILD_LIST               2
2022-11-23T02:04:39.9891857Z               34 CALL_METHOD              4
2022-11-23T02:04:39.9891886Z 
2022-11-23T02:04:39.9892196Z 3008          36 BUILD_TUPLE              2
2022-11-23T02:04:39.9892449Z               38 RETURN_VALUE
2022-11-23T02:04:39.9892626Z  
2022-11-23T02:04:39.9892708Z 
2022-11-23T02:04:39.9893831Z [2022-11-23 02:01:07,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3009
2022-11-23T02:04:39.9894565Z [2022-11-23 02:01:07,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.9895680Z [2022-11-23 02:01:07,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.9897003Z [2022-11-23 02:01:07,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T02:04:39.9898076Z [2022-11-23 02:01:07,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T02:04:39.9899232Z [2022-11-23 02:01:07,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:39.9900908Z [2022-11-23 02:01:07,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:39.9902062Z [2022-11-23 02:01:07,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable()]
2022-11-23T02:04:39.9903320Z [2022-11-23 02:01:07,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T02:04:39.9904734Z [2022-11-23 02:01:07,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T02:04:39.9905793Z [2022-11-23 02:01:08,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3010
2022-11-23T02:04:39.9906577Z [2022-11-23 02:01:08,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:39.9908022Z [2022-11-23 02:01:08,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.9909071Z [2022-11-23 02:01:08,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T02:04:39.9910209Z [2022-11-23 02:01:08,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T02:04:39.9911517Z [2022-11-23 02:01:08,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.9912969Z [2022-11-23 02:01:08,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool)]
2022-11-23T02:04:39.9914553Z [2022-11-23 02:01:08,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float)]
2022-11-23T02:04:39.9916313Z [2022-11-23 02:01:08,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T02:04:39.9917863Z [2022-11-23 02:01:08,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ListVariable()]
2022-11-23T02:04:39.9918969Z [2022-11-23 02:01:08,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3008
2022-11-23T02:04:39.9919926Z [2022-11-23 02:01:08,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T02:04:39.9920764Z [2022-11-23 02:01:08,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.9922053Z [2022-11-23 02:01:08,053] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f883a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3007>
2022-11-23T02:04:39.9922822Z [2022-11-23 02:01:08,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:39.9923610Z [2022-11-23 02:01:08,053] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:39.9924462Z [2022-11-23 02:01:08,055] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:39.9925632Z [2022-11-23 02:01:08,120] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:39.9926303Z [2022-11-23 02:01:08,121] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:39.9926783Z  __compiled_fn_346 <eval_with_key>.2550 opcode, name, target, args, kwargs
2022-11-23T02:04:39.9927098Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:39.9927675Z call_function, upsample_bilinear2d, aten.upsample_bilinear2d, (ex_0_, [45, 45], False, None), {}
2022-11-23T02:04:39.9928258Z call_function, upsample_bilinear2d_1, aten.upsample_bilinear2d, (ex_0_, None, True, [2.0, 2.0]), {}
2022-11-23T02:04:39.9928710Z output, output, output, ((upsample_bilinear2d, upsample_bilinear2d_1),), {}
2022-11-23T02:04:39.9928750Z 
2022-11-23T02:04:39.9929891Z [2022-11-23 02:01:08,122] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.9930223Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:39.9930534Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.9930831Z               4 BUILD_MAP                0
2022-11-23T02:04:39.9931320Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:39.9931629Z               8 DICT_MERGE               1
2022-11-23T02:04:39.9931939Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:39.9932170Z              12 RETURN_VALUE
2022-11-23T02:04:39.9932197Z 
2022-11-23T02:04:39.9932413Z  
2022-11-23T02:04:39.9933587Z [2022-11-23 02:01:08,122] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:39.9933966Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_346)
2022-11-23T02:04:39.9934266Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:39.9934562Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:39.9934833Z               6 BINARY_SUBSCR
2022-11-23T02:04:39.9935095Z               8 CALL_FUNCTION            1
2022-11-23T02:04:39.9935460Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:39.9935804Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9936491Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:39.9936778Z              16 BINARY_SUBSCR
2022-11-23T02:04:39.9937137Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:39.9937429Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:39.9937695Z              22 BINARY_SUBSCR
2022-11-23T02:04:39.9937951Z              24 BUILD_TUPLE              2
2022-11-23T02:04:39.9938209Z              26 RETURN_VALUE
2022-11-23T02:04:39.9938249Z 
2022-11-23T02:04:39.9938466Z  
2022-11-23T02:04:39.9939108Z [2022-11-23 02:01:08,123] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:39.9939363Z  - 
2022-11-23T02:04:39.9939768Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:39.9939988Z             {
2022-11-23T02:04:39.9940408Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:39.9941024Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:39.9941433Z                 'obj_weakref': None
2022-11-23T02:04:39.9942173Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:39.9942403Z             }
2022-11-23T02:04:39.9942626Z             
2022-11-23T02:04:39.9942865Z  - 
2022-11-23T02:04:39.9943237Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:39.9943459Z             {
2022-11-23T02:04:39.9943922Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:39.9944271Z                 'code': None,
2022-11-23T02:04:39.9944955Z                 'obj_weakref': <weakref at 0x7fa531ec4ef0; to 'Tensor' at 0x7fa5503fd300>
2022-11-23T02:04:39.9945785Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:39.9946398Z             }
2022-11-23T02:04:39.9946573Z             
2022-11-23T02:04:39.9946820Z  - 
2022-11-23T02:04:39.9947256Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:39.9947496Z             {
2022-11-23T02:04:39.9947930Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:39.9948471Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:39.9948869Z                 'obj_weakref': None
2022-11-23T02:04:39.9949599Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:39.9949814Z             }
2022-11-23T02:04:39.9950034Z             
2022-11-23T02:04:39.9950243Z  - 
2022-11-23T02:04:39.9950628Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:39.9950846Z             {
2022-11-23T02:04:39.9951283Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:39.9952005Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:39.9952395Z                 'obj_weakref': None
2022-11-23T02:04:39.9953115Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:39.9953512Z             }
2022-11-23T02:04:39.9953688Z             
2022-11-23T02:04:39.9953933Z  - 
2022-11-23T02:04:39.9954366Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:39.9954585Z             {
2022-11-23T02:04:39.9954985Z                 'guard_types': None,
2022-11-23T02:04:39.9955330Z                 'code': None,
2022-11-23T02:04:39.9955676Z                 'obj_weakref': None
2022-11-23T02:04:39.9956073Z                 'guarded_class': None
2022-11-23T02:04:39.9956293Z             }
2022-11-23T02:04:39.9956498Z             
2022-11-23T02:04:39.9957357Z [2022-11-23 02:01:08,195] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 338
2022-11-23T02:04:39.9958108Z [2022-11-23 02:01:08,197] torch._inductor.graph: [WARNING] Creating implicit fallback for:
2022-11-23T02:04:39.9958474Z   target: aten.upsample_bilinear2d.default
2022-11-23T02:04:39.9958729Z   args[0]: TensorBox(StorageBox(
2022-11-23T02:04:39.9959753Z     InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[2, 4, 37, 38], stride=[5624, 1406, 38, 1]))
2022-11-23T02:04:39.9959964Z   ))
2022-11-23T02:04:39.9960223Z   args[1]: [45, 45]
2022-11-23T02:04:39.9960465Z   args[2]: False
2022-11-23T02:04:39.9961591Z [2022-11-23 02:01:08,198] torch._inductor.lowering: [WARNING] make_fallback(aten.upsample_bilinear2d.default): a decomposition exists, we should switch to it
2022-11-23T02:04:39.9962513Z [2022-11-23 02:01:08,233] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T02:04:39.9963446Z [2022-11-23 02:01:08,264] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T02:04:39.9964695Z [2022-11-23 02:01:08,269] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c6/cc6jwthtvlfgybyqb2nevaigxcgibtxfdnojafkjtzoh2r5vizno.py
2022-11-23T02:04:39.9965556Z [2022-11-23 02:01:08,269] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 338
2022-11-23T02:04:39.9965610Z 
2022-11-23T02:04:39.9965939Z from ctypes import c_void_p, c_long
2022-11-23T02:04:39.9966177Z import torch
2022-11-23T02:04:39.9966419Z import random
2022-11-23T02:04:39.9966828Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:39.9967246Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:39.9967289Z 
2022-11-23T02:04:39.9967536Z aten = torch.ops.aten
2022-11-23T02:04:39.9967973Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:39.9968295Z async_compile = AsyncCompile()
2022-11-23T02:04:39.9968336Z 
2022-11-23T02:04:39.9968368Z 
2022-11-23T02:04:39.9968682Z async_compile.wait(globals())
2022-11-23T02:04:39.9968920Z del async_compile
2022-11-23T02:04:39.9969165Z 
2022-11-23T02:04:39.9969424Z def call(args):
2022-11-23T02:04:39.9969658Z     arg0_1, = args
2022-11-23T02:04:39.9969900Z     args.clear()
2022-11-23T02:04:39.9970388Z     buf0 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [45, 45], False)
2022-11-23T02:04:39.9970595Z     buf1 = buf0
2022-11-23T02:04:39.9970968Z     assert_size_stride(buf1, (2, 4, 45, 45), (8100, 2025, 45, 1))
2022-11-23T02:04:39.9971187Z     del buf0
2022-11-23T02:04:39.9971711Z     buf2 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [74, 76], True, 2.0, 2.0)
2022-11-23T02:04:39.9971939Z     del arg0_1
2022-11-23T02:04:39.9972189Z     buf3 = buf2
2022-11-23T02:04:39.9972558Z     assert_size_stride(buf3, (2, 4, 74, 76), (22496, 5624, 76, 1))
2022-11-23T02:04:39.9972753Z     del buf2
2022-11-23T02:04:39.9973016Z     return (buf1, buf3, )
2022-11-23T02:04:39.9973043Z 
2022-11-23T02:04:39.9973071Z 
2022-11-23T02:04:39.9973335Z if __name__ == "__main__":
2022-11-23T02:04:39.9973730Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:39.9974163Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:39.9974996Z     arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:39.9975541Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:39.9975581Z 
2022-11-23T02:04:39.9975812Z ok (0.318s)
2022-11-23T02:04:39.9977270Z   test_upsample_bilinear2d_b_cpu (__main__.CpuTests) ... [2022-11-23 02:01:08,278] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:39.9978371Z [2022-11-23 02:01:08,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:39.9979104Z [2022-11-23 02:01:08,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:39.9979946Z [2022-11-23 02:01:08,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:39.9980904Z [2022-11-23 02:01:08,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:39.9981977Z [2022-11-23 02:01:08,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.9983152Z [2022-11-23 02:01:08,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:39.9984220Z [2022-11-23 02:01:08,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:39.9985461Z [2022-11-23 02:01:08,279] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f88500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3016> 
2022-11-23T02:04:39.9985784Z  3017           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:39.9986126Z                2 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T02:04:39.9986451Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:39.9986764Z                6 LOAD_CONST               0 (None)
2022-11-23T02:04:39.9987074Z                8 LOAD_CONST               1 (True)
2022-11-23T02:04:39.9987386Z               10 LOAD_CONST               2 (2.0)
2022-11-23T02:04:39.9987683Z               12 LOAD_CONST               2 (2.0)
2022-11-23T02:04:39.9988059Z               14 BUILD_LIST               2
2022-11-23T02:04:39.9988359Z               16 CALL_METHOD              4
2022-11-23T02:04:39.9988576Z               18 RETURN_VALUE
2022-11-23T02:04:39.9988782Z  
2022-11-23T02:04:39.9988823Z 
2022-11-23T02:04:39.9989908Z [2022-11-23 02:01:08,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3017
2022-11-23T02:04:39.9990608Z [2022-11-23 02:01:08,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:39.9992121Z [2022-11-23 02:01:08,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:39.9993055Z [2022-11-23 02:01:08,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T02:04:39.9994109Z [2022-11-23 02:01:08,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T02:04:39.9995313Z [2022-11-23 02:01:08,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:39.9996636Z [2022-11-23 02:01:08,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool)]
2022-11-23T02:04:39.9998135Z [2022-11-23 02:01:08,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float)]
2022-11-23T02:04:39.9999915Z [2022-11-23 02:01:08,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T02:04:40.0001342Z [2022-11-23 02:01:08,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ListVariable()]
2022-11-23T02:04:40.0002182Z [2022-11-23 02:01:08,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:40.0003466Z [2022-11-23 02:01:08,323] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f88500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3016>
2022-11-23T02:04:40.0004319Z [2022-11-23 02:01:08,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:40.0005129Z [2022-11-23 02:01:08,323] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0005987Z [2022-11-23 02:01:08,324] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0006978Z [2022-11-23 02:01:08,356] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0007626Z [2022-11-23 02:01:08,357] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0008089Z  __compiled_fn_347 <eval_with_key>.2556 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0008351Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0008902Z call_function, upsample_bilinear2d, aten.upsample_bilinear2d, (ex_0_, None, True, [2.0, 2.0]), {}
2022-11-23T02:04:40.0009326Z output, output, output, ((upsample_bilinear2d,),), {}
2022-11-23T02:04:40.0009368Z 
2022-11-23T02:04:40.0010500Z [2022-11-23 02:01:08,357] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0010820Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0011135Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0011429Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0011740Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0011997Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0012301Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0012625Z              12 RETURN_VALUE
2022-11-23T02:04:40.0012656Z 
2022-11-23T02:04:40.0012868Z  
2022-11-23T02:04:40.0013991Z [2022-11-23 02:01:08,357] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0014618Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_347)
2022-11-23T02:04:40.0014917Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0015228Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0015459Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0015745Z               8 CALL_FUNCTION            1
2022-11-23T02:04:40.0016013Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:40.0016638Z              12 RETURN_VALUE
2022-11-23T02:04:40.0016676Z 
2022-11-23T02:04:40.0016891Z  
2022-11-23T02:04:40.0017550Z [2022-11-23 02:01:08,359] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0017775Z  - 
2022-11-23T02:04:40.0018125Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0018348Z             {
2022-11-23T02:04:40.0018815Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0019425Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:40.0019816Z                 'obj_weakref': None
2022-11-23T02:04:40.0020554Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0020771Z             }
2022-11-23T02:04:40.0020950Z             
2022-11-23T02:04:40.0021436Z  - 
2022-11-23T02:04:40.0021887Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0022110Z             {
2022-11-23T02:04:40.0022586Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0022935Z                 'code': None,
2022-11-23T02:04:40.0023618Z                 'obj_weakref': <weakref at 0x7fa51c4234c0; to 'Tensor' at 0x7fa61aa0ab10>
2022-11-23T02:04:40.0024468Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0024686Z             }
2022-11-23T02:04:40.0024905Z             
2022-11-23T02:04:40.0025140Z  - 
2022-11-23T02:04:40.0025558Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0025785Z             {
2022-11-23T02:04:40.0026225Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0026741Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.0027135Z                 'obj_weakref': None
2022-11-23T02:04:40.0027877Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0028106Z             }
2022-11-23T02:04:40.0028324Z             
2022-11-23T02:04:40.0028552Z  - 
2022-11-23T02:04:40.0028946Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0029118Z             {
2022-11-23T02:04:40.0029574Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0030276Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0030662Z                 'obj_weakref': None
2022-11-23T02:04:40.0031384Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0031612Z             }
2022-11-23T02:04:40.0031834Z             
2022-11-23T02:04:40.0032029Z  - 
2022-11-23T02:04:40.0032448Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:40.0032668Z             {
2022-11-23T02:04:40.0033062Z                 'guard_types': None,
2022-11-23T02:04:40.0033415Z                 'code': None,
2022-11-23T02:04:40.0033788Z                 'obj_weakref': None
2022-11-23T02:04:40.0034192Z                 'guarded_class': None
2022-11-23T02:04:40.0034378Z             }
2022-11-23T02:04:40.0034595Z             
2022-11-23T02:04:40.0035455Z [2022-11-23 02:01:08,394] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 339
2022-11-23T02:04:40.0036386Z [2022-11-23 02:01:08,425] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T02:04:40.0037591Z [2022-11-23 02:01:08,429] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rx/crxihpsvscu7mq7celyuqnjydsd2ow4swyg5c2zawg5wjxnzsn46.py
2022-11-23T02:04:40.0038743Z [2022-11-23 02:01:08,429] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 339
2022-11-23T02:04:40.0038771Z 
2022-11-23T02:04:40.0039100Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.0039349Z import torch
2022-11-23T02:04:40.0039554Z import random
2022-11-23T02:04:40.0039954Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.0040363Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.0040391Z 
2022-11-23T02:04:40.0040660Z aten = torch.ops.aten
2022-11-23T02:04:40.0041117Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.0041435Z async_compile = AsyncCompile()
2022-11-23T02:04:40.0041462Z 
2022-11-23T02:04:40.0041505Z 
2022-11-23T02:04:40.0041806Z async_compile.wait(globals())
2022-11-23T02:04:40.0042048Z del async_compile
2022-11-23T02:04:40.0042089Z 
2022-11-23T02:04:40.0042292Z def call(args):
2022-11-23T02:04:40.0042512Z     arg0_1, = args
2022-11-23T02:04:40.0042766Z     args.clear()
2022-11-23T02:04:40.0043290Z     buf0 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [80, 118], True, 2.0, 2.0)
2022-11-23T02:04:40.0043520Z     del arg0_1
2022-11-23T02:04:40.0043745Z     buf1 = buf0
2022-11-23T02:04:40.0044382Z     assert_size_stride(buf1, (1, 2, 80, 118), (18880, 9440, 118, 1))
2022-11-23T02:04:40.0044581Z     del buf0
2022-11-23T02:04:40.0044828Z     return (buf1, )
2022-11-23T02:04:40.0044872Z 
2022-11-23T02:04:40.0044905Z 
2022-11-23T02:04:40.0045155Z if __name__ == "__main__":
2022-11-23T02:04:40.0045546Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.0045968Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.0046739Z     arg0_1 = rand_strided((1, 2, 40, 59), (4720, 2360, 59, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0047105Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:40.0047135Z 
2022-11-23T02:04:40.0047371Z ok (0.158s)
2022-11-23T02:04:40.0048426Z   test_upsample_nearest1d_cpu (__main__.CpuTests) ... [2022-11-23 02:01:08,436] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.0049514Z [2022-11-23 02:01:08,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.0050255Z [2022-11-23 02:01:08,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.0051089Z [2022-11-23 02:01:08,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.0052042Z [2022-11-23 02:01:08,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.0053108Z [2022-11-23 02:01:08,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0054275Z [2022-11-23 02:01:08,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0055387Z [2022-11-23 02:01:08,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0056971Z [2022-11-23 02:01:08,438] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9fcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2957> 
2022-11-23T02:04:40.0057305Z  2959           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:40.0057651Z                2 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T02:04:40.0057963Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0058272Z                6 LOAD_CONST               1 (74)
2022-11-23T02:04:40.0058566Z                8 BUILD_LIST               1
2022-11-23T02:04:40.0058867Z               10 LOAD_CONST               0 (None)
2022-11-23T02:04:40.0059482Z               12 CALL_METHOD              3
2022-11-23T02:04:40.0059522Z 
2022-11-23T02:04:40.0059827Z 2960          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:40.0060189Z               16 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T02:04:40.0060467Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0060770Z               20 LOAD_CONST               2 (70)
2022-11-23T02:04:40.0061064Z               22 BUILD_LIST               1
2022-11-23T02:04:40.0061366Z               24 LOAD_CONST               0 (None)
2022-11-23T02:04:40.0061661Z               26 CALL_METHOD              3
2022-11-23T02:04:40.0061688Z 
2022-11-23T02:04:40.0061995Z 2961          28 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:40.0062375Z               30 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T02:04:40.0062636Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0062931Z               34 LOAD_CONST               3 (45)
2022-11-23T02:04:40.0063234Z               36 BUILD_LIST               1
2022-11-23T02:04:40.0063543Z               38 LOAD_CONST               0 (None)
2022-11-23T02:04:40.0063838Z               40 CALL_METHOD              3
2022-11-23T02:04:40.0063867Z 
2022-11-23T02:04:40.0064338Z 2962          42 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:40.0064719Z               44 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T02:04:40.0065016Z               46 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0065279Z               48 LOAD_CONST               4 (36)
2022-11-23T02:04:40.0065563Z               50 BUILD_LIST               1
2022-11-23T02:04:40.0065863Z               52 LOAD_CONST               0 (None)
2022-11-23T02:04:40.0066164Z               54 CALL_METHOD              3
2022-11-23T02:04:40.0066191Z 
2022-11-23T02:04:40.0066493Z 2963          56 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:40.0066866Z               58 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T02:04:40.0067174Z               60 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0067471Z               62 LOAD_CONST               0 (None)
2022-11-23T02:04:40.0067742Z               64 LOAD_CONST               5 (2.0)
2022-11-23T02:04:40.0068030Z               66 BUILD_LIST               1
2022-11-23T02:04:40.0068319Z               68 CALL_METHOD              3
2022-11-23T02:04:40.0068362Z 
2022-11-23T02:04:40.0068656Z 2958          70 BUILD_TUPLE              5
2022-11-23T02:04:40.0068908Z               72 RETURN_VALUE
2022-11-23T02:04:40.0069122Z  
2022-11-23T02:04:40.0069149Z 
2022-11-23T02:04:40.0070310Z [2022-11-23 02:01:08,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2959
2022-11-23T02:04:40.0071016Z [2022-11-23 02:01:08,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:40.0072084Z [2022-11-23 02:01:08,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.0073015Z [2022-11-23 02:01:08,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest1d)]
2022-11-23T02:04:40.0074071Z [2022-11-23 02:01:08,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T02:04:40.0075231Z [2022-11-23 02:01:08,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0076361Z [2022-11-23 02:01:08,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0077654Z [2022-11-23 02:01:08,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:40.0078715Z [2022-11-23 02:01:08,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2960
2022-11-23T02:04:40.0079727Z [2022-11-23 02:01:08,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:40.0080951Z [2022-11-23 02:01:08,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.0081973Z [2022-11-23 02:01:08,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T02:04:40.0083062Z [2022-11-23 02:01:08,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T02:04:40.0084233Z [2022-11-23 02:01:08,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0085451Z [2022-11-23 02:01:08,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0086988Z [2022-11-23 02:01:08,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:40.0087596Z [2022-11-23 02:01:08,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2961
2022-11-23T02:04:40.0088031Z [2022-11-23 02:01:08,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0088554Z [2022-11-23 02:01:08,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.0089008Z [2022-11-23 02:01:08,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T02:04:40.0089491Z [2022-11-23 02:01:08,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T02:04:40.0090030Z [2022-11-23 02:01:08,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0090544Z [2022-11-23 02:01:08,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0091122Z [2022-11-23 02:01:08,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:40.0091553Z [2022-11-23 02:01:08,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2962
2022-11-23T02:04:40.0091964Z [2022-11-23 02:01:08,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0092491Z [2022-11-23 02:01:08,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.0092971Z [2022-11-23 02:01:08,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T02:04:40.0093491Z [2022-11-23 02:01:08,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T02:04:40.0094237Z [2022-11-23 02:01:08,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0094792Z [2022-11-23 02:01:08,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0095408Z [2022-11-23 02:01:08,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:40.0095837Z [2022-11-23 02:01:08,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2963
2022-11-23T02:04:40.0096764Z [2022-11-23 02:01:08,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0097962Z [2022-11-23 02:01:08,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.0098512Z [2022-11-23 02:01:08,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T02:04:40.0099078Z [2022-11-23 02:01:08,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T02:04:40.0099699Z [2022-11-23 02:01:08,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:40.0100375Z [2022-11-23 02:01:08,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)]
2022-11-23T02:04:40.0101036Z [2022-11-23 02:01:08,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T02:04:40.0101464Z [2022-11-23 02:01:08,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2958
2022-11-23T02:04:40.0101937Z [2022-11-23 02:01:08,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0102282Z [2022-11-23 02:01:08,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0102770Z [2022-11-23 02:01:08,491] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9fcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2957>
2022-11-23T02:04:40.0103106Z [2022-11-23 02:01:08,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0103421Z [2022-11-23 02:01:08,491] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0103778Z [2022-11-23 02:01:08,493] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0104116Z [2022-11-23 02:01:08,500] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0104465Z [2022-11-23 02:01:08,501] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0104665Z  __compiled_fn_348 <eval_with_key>.2562 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0104811Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0105002Z call_function, upsample_nearest1d, aten.upsample_nearest1d, (ex_0_, [74], None), {}
2022-11-23T02:04:40.0105219Z call_function, upsample_nearest1d_1, aten.upsample_nearest1d, (ex_0_, [70], None), {}
2022-11-23T02:04:40.0105424Z call_function, upsample_nearest1d_2, aten.upsample_nearest1d, (ex_0_, [45], None), {}
2022-11-23T02:04:40.0105624Z call_function, upsample_nearest1d_3, aten.upsample_nearest1d, (ex_0_, [36], None), {}
2022-11-23T02:04:40.0105841Z call_function, upsample_nearest1d_4, aten.upsample_nearest1d, (ex_0_, None, [2.0]), {}
2022-11-23T02:04:40.0106136Z output, output, output, ((upsample_nearest1d, upsample_nearest1d_1, upsample_nearest1d_2, upsample_nearest1d_3, upsample_nearest1d_4),), {}
2022-11-23T02:04:40.0106168Z 
2022-11-23T02:04:40.0106612Z [2022-11-23 02:01:08,501] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0106815Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0106959Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0107066Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0107213Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0107342Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0107479Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0107594Z              12 RETURN_VALUE
2022-11-23T02:04:40.0107619Z 
2022-11-23T02:04:40.0107715Z  
2022-11-23T02:04:40.0108160Z [2022-11-23 02:01:08,502] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0108322Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_348)
2022-11-23T02:04:40.0108435Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0108575Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0108695Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0108833Z               8 CALL_FUNCTION            1
2022-11-23T02:04:40.0108988Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.0109134Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0109264Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0109352Z              16 BINARY_SUBSCR
2022-11-23T02:04:40.0109506Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0109642Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:40.0109755Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.0109901Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0110038Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:40.0110158Z              28 BINARY_SUBSCR
2022-11-23T02:04:40.0110287Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0110424Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:40.0110547Z              34 BINARY_SUBSCR
2022-11-23T02:04:40.0110701Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0110832Z              38 LOAD_CONST               5 (4)
2022-11-23T02:04:40.0110954Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.0111083Z              42 BUILD_TUPLE              5
2022-11-23T02:04:40.0111179Z              44 RETURN_VALUE
2022-11-23T02:04:40.0111219Z 
2022-11-23T02:04:40.0111293Z  
2022-11-23T02:04:40.0111561Z [2022-11-23 02:01:08,503] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0111674Z  - 
2022-11-23T02:04:40.0111845Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0111951Z             {
2022-11-23T02:04:40.0112219Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0112478Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:40.0112631Z                 'obj_weakref': None
2022-11-23T02:04:40.0112945Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0113051Z             }
2022-11-23T02:04:40.0113147Z             
2022-11-23T02:04:40.0113263Z  - 
2022-11-23T02:04:40.0113448Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0113522Z             {
2022-11-23T02:04:40.0113731Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0113893Z                 'code': None,
2022-11-23T02:04:40.0114185Z                 'obj_weakref': <weakref at 0x7fa531ec6110; to 'Tensor' at 0x7fa53228c680>
2022-11-23T02:04:40.0114533Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0114638Z             }
2022-11-23T02:04:40.0114744Z             
2022-11-23T02:04:40.0114852Z  - 
2022-11-23T02:04:40.0115020Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0115126Z             {
2022-11-23T02:04:40.0115318Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0115610Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.0115782Z                 'obj_weakref': None
2022-11-23T02:04:40.0116105Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0116200Z             }
2022-11-23T02:04:40.0116280Z             
2022-11-23T02:04:40.0116392Z  - 
2022-11-23T02:04:40.0116560Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0116672Z             {
2022-11-23T02:04:40.0116865Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0117285Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0117455Z                 'obj_weakref': None
2022-11-23T02:04:40.0117742Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0117847Z             }
2022-11-23T02:04:40.0117945Z             
2022-11-23T02:04:40.0118052Z  - 
2022-11-23T02:04:40.0118248Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:40.0118347Z             {
2022-11-23T02:04:40.0118494Z                 'guard_types': None,
2022-11-23T02:04:40.0118658Z                 'code': None,
2022-11-23T02:04:40.0118831Z                 'obj_weakref': None
2022-11-23T02:04:40.0119001Z                 'guarded_class': None
2022-11-23T02:04:40.0119104Z             }
2022-11-23T02:04:40.0119209Z             
2022-11-23T02:04:40.0119570Z [2022-11-23 02:01:08,515] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 340
2022-11-23T02:04:40.0120065Z [2022-11-23 02:01:11,171] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pp/cppxs3srp4vxdo3n5syn7qgplc7lsor5k5q3iyo7ayxgvfioppl3.py
2022-11-23T02:04:40.0120413Z [2022-11-23 02:01:11,171] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 340
2022-11-23T02:04:40.0120437Z 
2022-11-23T02:04:40.0120578Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.0120692Z import torch
2022-11-23T02:04:40.0120803Z import random
2022-11-23T02:04:40.0120975Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.0121153Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.0121169Z 
2022-11-23T02:04:40.0121285Z aten = torch.ops.aten
2022-11-23T02:04:40.0121458Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.0121595Z async_compile = AsyncCompile()
2022-11-23T02:04:40.0121619Z 
2022-11-23T02:04:40.0121636Z 
2022-11-23T02:04:40.0121831Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.0122122Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.0122366Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.0122513Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:40.0122660Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:40.0122801Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:40.0122922Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:40.0123058Z                        float* __restrict__ out_ptr4)
2022-11-23T02:04:40.0123157Z {
2022-11-23T02:04:40.0123310Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.0123408Z     {
2022-11-23T02:04:40.0123532Z         #pragma omp for 
2022-11-23T02:04:40.0123662Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:40.0123742Z         {
2022-11-23T02:04:40.0123866Z             #pragma GCC ivdep
2022-11-23T02:04:40.0123995Z             for(long i1=0; i1<74; i1+=1)
2022-11-23T02:04:40.0124102Z             {
2022-11-23T02:04:40.0124201Z                 {
2022-11-23T02:04:40.0124315Z                     {
2022-11-23T02:04:40.0124476Z                         auto tmp0 = static_cast<float>(i1);
2022-11-23T02:04:40.0124608Z                         auto tmp1 = static_cast<float>(0.5);
2022-11-23T02:04:40.0124754Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.0124967Z                         auto tmp3 = static_cast<int>(tmp2);
2022-11-23T02:04:40.0125130Z                         auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2022-11-23T02:04:40.0125274Z                         out_ptr0[i1 + (74*i0)] = tmp4;
2022-11-23T02:04:40.0125421Z                         out_ptr1[i1 + (74*i0)] = tmp4;
2022-11-23T02:04:40.0125525Z                     }
2022-11-23T02:04:40.0125605Z                 }
2022-11-23T02:04:40.0125709Z             }
2022-11-23T02:04:40.0125809Z         }
2022-11-23T02:04:40.0125923Z         #pragma omp for 
2022-11-23T02:04:40.0126052Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:40.0126150Z         {
2022-11-23T02:04:40.0126273Z             #pragma GCC ivdep
2022-11-23T02:04:40.0126385Z             for(long i1=0; i1<70; i1+=1)
2022-11-23T02:04:40.0126482Z             {
2022-11-23T02:04:40.0126586Z                 {
2022-11-23T02:04:40.0126685Z                     {
2022-11-23T02:04:40.0126846Z                         auto tmp0 = static_cast<float>(i1);
2022-11-23T02:04:40.0127008Z                         auto tmp1 = static_cast<float>(0.5285714285714286);
2022-11-23T02:04:40.0127153Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.0127278Z                         auto tmp3 = static_cast<int>(tmp2);
2022-11-23T02:04:40.0127439Z                         auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2022-11-23T02:04:40.0127581Z                         out_ptr2[i1 + (70*i0)] = tmp4;
2022-11-23T02:04:40.0127688Z                     }
2022-11-23T02:04:40.0127785Z                 }
2022-11-23T02:04:40.0127891Z             }
2022-11-23T02:04:40.0127987Z         }
2022-11-23T02:04:40.0128083Z         #pragma omp for 
2022-11-23T02:04:40.0128212Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:40.0128313Z         {
2022-11-23T02:04:40.0128433Z             #pragma GCC ivdep
2022-11-23T02:04:40.0128564Z             for(long i1=0; i1<45; i1+=1)
2022-11-23T02:04:40.0128664Z             {
2022-11-23T02:04:40.0128744Z                 {
2022-11-23T02:04:40.0128850Z                     {
2022-11-23T02:04:40.0129013Z                         auto tmp0 = static_cast<float>(i1);
2022-11-23T02:04:40.0129183Z                         auto tmp1 = static_cast<float>(0.8222222222222222);
2022-11-23T02:04:40.0129325Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.0129480Z                         auto tmp3 = static_cast<int>(tmp2);
2022-11-23T02:04:40.0129633Z                         auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2022-11-23T02:04:40.0129777Z                         out_ptr3[i1 + (45*i0)] = tmp4;
2022-11-23T02:04:40.0129859Z                     }
2022-11-23T02:04:40.0129959Z                 }
2022-11-23T02:04:40.0130057Z             }
2022-11-23T02:04:40.0130228Z         }
2022-11-23T02:04:40.0130350Z         #pragma omp for 
2022-11-23T02:04:40.0130470Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:40.0130551Z         {
2022-11-23T02:04:40.0130675Z             #pragma GCC ivdep
2022-11-23T02:04:40.0130807Z             for(long i1=0; i1<36; i1+=1)
2022-11-23T02:04:40.0130911Z             {
2022-11-23T02:04:40.0131007Z                 {
2022-11-23T02:04:40.0131111Z                     {
2022-11-23T02:04:40.0131271Z                         auto tmp0 = static_cast<float>(i1);
2022-11-23T02:04:40.0131412Z                         auto tmp1 = static_cast<float>(1.0277777777777777);
2022-11-23T02:04:40.0131557Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.0131709Z                         auto tmp3 = static_cast<int>(tmp2);
2022-11-23T02:04:40.0131864Z                         auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2022-11-23T02:04:40.0132001Z                         out_ptr4[i1 + (36*i0)] = tmp4;
2022-11-23T02:04:40.0132108Z                     }
2022-11-23T02:04:40.0132213Z                 }
2022-11-23T02:04:40.0132293Z             }
2022-11-23T02:04:40.0132389Z         }
2022-11-23T02:04:40.0132490Z     }
2022-11-23T02:04:40.0132587Z }
2022-11-23T02:04:40.0132747Z ''')
2022-11-23T02:04:40.0132763Z 
2022-11-23T02:04:40.0132787Z 
2022-11-23T02:04:40.0132984Z async_compile.wait(globals())
2022-11-23T02:04:40.0133104Z del async_compile
2022-11-23T02:04:40.0133128Z 
2022-11-23T02:04:40.0133208Z def call(args):
2022-11-23T02:04:40.0133321Z     arg0_1, = args
2022-11-23T02:04:40.0133435Z     args.clear()
2022-11-23T02:04:40.0133734Z     buf0 = empty_strided((2, 4, 74), (296, 74, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0134015Z     buf4 = empty_strided((2, 4, 74), (296, 74, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0134297Z     buf1 = empty_strided((2, 4, 70), (280, 70, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0134573Z     buf2 = empty_strided((2, 4, 45), (180, 45, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0134850Z     buf3 = empty_strided((2, 4, 36), (144, 36, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0135161Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T02:04:40.0135273Z     del arg0_1
2022-11-23T02:04:40.0135418Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T02:04:40.0135434Z 
2022-11-23T02:04:40.0135450Z 
2022-11-23T02:04:40.0135570Z if __name__ == "__main__":
2022-11-23T02:04:40.0135738Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.0135916Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.0136682Z     arg0_1 = rand_strided((2, 4, 37), (148, 37, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0136970Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:40.0137003Z 
2022-11-23T02:04:40.0137172Z ok (2.743s)
2022-11-23T02:04:40.0137872Z   test_upsample_nearest2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 02:01:11,179] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.0138323Z [2022-11-23 02:01:11,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.0138629Z [2022-11-23 02:01:11,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.0138969Z [2022-11-23 02:01:11,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.0139349Z [2022-11-23 02:01:11,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.0139787Z [2022-11-23 02:01:11,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0140252Z [2022-11-23 02:01:11,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0140873Z [2022-11-23 02:01:11,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0141380Z [2022-11-23 02:01:11,181] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f88240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2995> 
2022-11-23T02:04:40.0141525Z  2997           0 LOAD_DEREF               0 (func)
2022-11-23T02:04:40.0141637Z                2 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0141775Z                4 LOAD_CONST               1 (6)
2022-11-23T02:04:40.0141914Z                6 LOAD_CONST               2 (12)
2022-11-23T02:04:40.0142052Z                8 BUILD_LIST               2
2022-11-23T02:04:40.0142181Z               10 BUILD_LIST               0
2022-11-23T02:04:40.0142325Z               12 LOAD_CONST               3 ((3, 3, 3, 6))
2022-11-23T02:04:40.0142461Z               14 LIST_EXTEND              1
2022-11-23T02:04:40.0142696Z               16 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T02:04:40.0142833Z               18 CALL_FUNCTION_KW         3
2022-11-23T02:04:40.0142938Z 
2022-11-23T02:04:40.0143085Z 2998          20 LOAD_DEREF               0 (func)
2022-11-23T02:04:40.0143223Z               22 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0143351Z               24 LOAD_CONST               1 (6)
2022-11-23T02:04:40.0143488Z               26 LOAD_CONST               2 (12)
2022-11-23T02:04:40.0143618Z               28 BUILD_LIST               2
2022-11-23T02:04:40.0143757Z               30 BUILD_LIST               0
2022-11-23T02:04:40.0143872Z               32 LOAD_CONST               5 ((3, 3, 4, 5))
2022-11-23T02:04:40.0144002Z               34 LIST_EXTEND              1
2022-11-23T02:04:40.0144261Z               36 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T02:04:40.0144406Z               38 CALL_FUNCTION_KW         3
2022-11-23T02:04:40.0144423Z 
2022-11-23T02:04:40.0144561Z 2999          40 LOAD_DEREF               0 (func)
2022-11-23T02:04:40.0144689Z               42 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0144835Z               44 LOAD_CONST               1 (6)
2022-11-23T02:04:40.0144946Z               46 LOAD_CONST               2 (12)
2022-11-23T02:04:40.0145078Z               48 BUILD_LIST               2
2022-11-23T02:04:40.0145205Z               50 BUILD_LIST               0
2022-11-23T02:04:40.0145349Z               52 LOAD_CONST               6 ((3, 3, 2, 8))
2022-11-23T02:04:40.0145476Z               54 LIST_EXTEND              1
2022-11-23T02:04:40.0145729Z               56 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T02:04:40.0145865Z               58 CALL_FUNCTION_KW         3
2022-11-23T02:04:40.0145889Z 
2022-11-23T02:04:40.0146024Z 3000          60 LOAD_DEREF               0 (func)
2022-11-23T02:04:40.0146137Z               62 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0146280Z               64 LOAD_CONST               1 (6)
2022-11-23T02:04:40.0146407Z               66 LOAD_CONST               2 (12)
2022-11-23T02:04:40.0146543Z               68 BUILD_LIST               2
2022-11-23T02:04:40.0146671Z               70 BUILD_LIST               0
2022-11-23T02:04:40.0146815Z               72 LOAD_CONST               6 ((3, 3, 2, 8))
2022-11-23T02:04:40.0146950Z               74 LIST_EXTEND              1
2022-11-23T02:04:40.0147176Z               76 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T02:04:40.0147312Z               78 CALL_FUNCTION_KW         3
2022-11-23T02:04:40.0147336Z 
2022-11-23T02:04:40.0147473Z 3001          80 LOAD_DEREF               0 (func)
2022-11-23T02:04:40.0147601Z               82 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0147737Z               84 LOAD_CONST               1 (6)
2022-11-23T02:04:40.0147872Z               86 LOAD_CONST               2 (12)
2022-11-23T02:04:40.0148066Z               88 BUILD_LIST               2
2022-11-23T02:04:40.0148202Z               90 BUILD_LIST               0
2022-11-23T02:04:40.0148313Z               92 LOAD_CONST               7 ((3, 3, 4, 7))
2022-11-23T02:04:40.0148451Z               94 LIST_EXTEND              1
2022-11-23T02:04:40.0148707Z               96 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T02:04:40.0148840Z               98 CALL_FUNCTION_KW         3
2022-11-23T02:04:40.0148857Z 
2022-11-23T02:04:40.0148985Z 2996         100 BUILD_TUPLE              5
2022-11-23T02:04:40.0149105Z              102 RETURN_VALUE
2022-11-23T02:04:40.0149201Z  
2022-11-23T02:04:40.0149225Z 
2022-11-23T02:04:40.0149625Z [2022-11-23 02:01:11,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2997
2022-11-23T02:04:40.0149925Z [2022-11-23 02:01:11,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func []
2022-11-23T02:04:40.0150321Z [2022-11-23 02:01:11,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T02:04:40.0150802Z [2022-11-23 02:01:11,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T02:04:40.0151283Z [2022-11-23 02:01:11,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0151813Z [2022-11-23 02:01:11,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:40.0152273Z [2022-11-23 02:01:11,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0152784Z [2022-11-23 02:01:11,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 3, 6) [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:40.0153341Z [2022-11-23 02:01:11,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:40.0153887Z [2022-11-23 02:01:11,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:40.0154442Z [2022-11-23 02:01:11,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:40.0154883Z [2022-11-23 02:01:11,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2998
2022-11-23T02:04:40.0155216Z [2022-11-23 02:01:11,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable()]
2022-11-23T02:04:40.0155624Z [2022-11-23 02:01:11,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T02:04:40.0156095Z [2022-11-23 02:01:11,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T02:04:40.0156611Z [2022-11-23 02:01:11,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0157176Z [2022-11-23 02:01:11,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:40.0157745Z [2022-11-23 02:01:11,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0158285Z [2022-11-23 02:01:11,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 4, 5) [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:40.0158865Z [2022-11-23 02:01:11,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:40.0159439Z [2022-11-23 02:01:11,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:40.0160033Z [2022-11-23 02:01:11,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:40.0160520Z [2022-11-23 02:01:11,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2999
2022-11-23T02:04:40.0160908Z [2022-11-23 02:01:11,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0161371Z [2022-11-23 02:01:11,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T02:04:40.0161882Z [2022-11-23 02:01:11,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T02:04:40.0162440Z [2022-11-23 02:01:11,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0163025Z [2022-11-23 02:01:11,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:40.0163555Z [2022-11-23 02:01:11,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0164150Z [2022-11-23 02:01:11,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 2, 8) [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:40.0164778Z [2022-11-23 02:01:11,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:40.0165412Z [2022-11-23 02:01:11,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:40.0166048Z [2022-11-23 02:01:11,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:40.0166479Z [2022-11-23 02:01:11,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3000
2022-11-23T02:04:40.0166890Z [2022-11-23 02:01:11,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0167479Z [2022-11-23 02:01:11,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T02:04:40.0168022Z [2022-11-23 02:01:11,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T02:04:40.0168563Z [2022-11-23 02:01:11,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0169205Z [2022-11-23 02:01:11,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:40.0169862Z [2022-11-23 02:01:11,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0170493Z [2022-11-23 02:01:11,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 2, 8) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:40.0171162Z [2022-11-23 02:01:11,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:40.0171814Z [2022-11-23 02:01:11,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:40.0172501Z [2022-11-23 02:01:11,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:40.0172932Z [2022-11-23 02:01:11,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3001
2022-11-23T02:04:40.0173379Z [2022-11-23 02:01:11,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0173894Z [2022-11-23 02:01:11,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T02:04:40.0174479Z [2022-11-23 02:01:11,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T02:04:40.0175113Z [2022-11-23 02:01:11,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0175853Z [2022-11-23 02:01:11,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:40.0177360Z [2022-11-23 02:01:11,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0178544Z [2022-11-23 02:01:11,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 4, 7) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:40.0179258Z [2022-11-23 02:01:11,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:40.0179945Z [2022-11-23 02:01:11,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T02:04:40.0180735Z [2022-11-23 02:01:11,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:40.0181172Z [2022-11-23 02:01:11,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2996
2022-11-23T02:04:40.0181646Z [2022-11-23 02:01:11,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0181979Z [2022-11-23 02:01:11,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0182484Z [2022-11-23 02:01:11,199] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f88240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2995>
2022-11-23T02:04:40.0182824Z [2022-11-23 02:01:11,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0183156Z [2022-11-23 02:01:11,199] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0183509Z [2022-11-23 02:01:11,202] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0183828Z [2022-11-23 02:01:11,210] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0184093Z [2022-11-23 02:01:11,211] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0184288Z  __compiled_fn_349 <eval_with_key>.2568 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0184423Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0184837Z call_function, upsample_nearest2d_backward, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 3, 6]}
2022-11-23T02:04:40.0185252Z call_function, upsample_nearest2d_backward_1, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 4, 5]}
2022-11-23T02:04:40.0185669Z call_function, upsample_nearest2d_backward_2, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 2, 8]}
2022-11-23T02:04:40.0186078Z call_function, upsample_nearest2d_backward_3, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 2, 8]}
2022-11-23T02:04:40.0186489Z call_function, upsample_nearest2d_backward_4, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 4, 7]}
2022-11-23T02:04:40.0186821Z output, output, output, ((upsample_nearest2d_backward, upsample_nearest2d_backward_1, upsample_nearest2d_backward_2, upsample_nearest2d_backward_3, upsample_nearest2d_backward_4),), {}
2022-11-23T02:04:40.0186874Z 
2022-11-23T02:04:40.0187350Z [2022-11-23 02:01:11,212] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0187494Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0187635Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0187815Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0187960Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0188089Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0188223Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0188317Z              12 RETURN_VALUE
2022-11-23T02:04:40.0188361Z 
2022-11-23T02:04:40.0188435Z  
2022-11-23T02:04:40.0188874Z [2022-11-23 02:01:11,212] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0189039Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_349)
2022-11-23T02:04:40.0189185Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0189324Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0189447Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0189577Z               8 CALL_FUNCTION            1
2022-11-23T02:04:40.0189769Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.0189963Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.0190108Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.0190243Z              16 CALL_FUNCTION            0
2022-11-23T02:04:40.0190389Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.0190541Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0190676Z              22 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0190791Z              24 BINARY_SUBSCR
2022-11-23T02:04:40.0190919Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0191059Z              28 LOAD_CONST               2 (1)
2022-11-23T02:04:40.0191177Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.0191325Z              32 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0191463Z              34 LOAD_CONST               3 (2)
2022-11-23T02:04:40.0191582Z              36 BINARY_SUBSCR
2022-11-23T02:04:40.0191731Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0191846Z              40 LOAD_CONST               4 (3)
2022-11-23T02:04:40.0191959Z              42 BINARY_SUBSCR
2022-11-23T02:04:40.0192104Z              44 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0192237Z              46 LOAD_CONST               5 (4)
2022-11-23T02:04:40.0192353Z              48 BINARY_SUBSCR
2022-11-23T02:04:40.0192488Z              50 BUILD_TUPLE              5
2022-11-23T02:04:40.0192628Z              52 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0192750Z              54 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0192886Z              56 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0193004Z              58 BINARY_SUBSCR
2022-11-23T02:04:40.0193154Z              60 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.0193299Z              62 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0193443Z              64 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0193576Z              66 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0193671Z              68 BINARY_SUBSCR
2022-11-23T02:04:40.0193821Z              70 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.0193940Z              72 RETURN_VALUE
2022-11-23T02:04:40.0193961Z 
2022-11-23T02:04:40.0194059Z  
2022-11-23T02:04:40.0194330Z [2022-11-23 02:01:11,213] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0194443Z  - 
2022-11-23T02:04:40.0194620Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0194698Z             {
2022-11-23T02:04:40.0194971Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0195229Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:40.0195400Z                 'obj_weakref': None
2022-11-23T02:04:40.0195718Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0195878Z             }
2022-11-23T02:04:40.0196041Z             
2022-11-23T02:04:40.0196130Z  - 
2022-11-23T02:04:40.0196313Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0196416Z             {
2022-11-23T02:04:40.0196619Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0196775Z                 'code': None,
2022-11-23T02:04:40.0197067Z                 'obj_weakref': <weakref at 0x7fa51c4378d0; to 'Tensor' at 0x7fa531e6eb60>
2022-11-23T02:04:40.0197416Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0197495Z             }
2022-11-23T02:04:40.0197607Z             
2022-11-23T02:04:40.0197717Z  - 
2022-11-23T02:04:40.0197908Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0198007Z             {
2022-11-23T02:04:40.0198198Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0198490Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.0198648Z                 'obj_weakref': None
2022-11-23T02:04:40.0198963Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0199065Z             }
2022-11-23T02:04:40.0199169Z             
2022-11-23T02:04:40.0199278Z  - 
2022-11-23T02:04:40.0199453Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0199552Z             {
2022-11-23T02:04:40.0199722Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0200017Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0200193Z                 'obj_weakref': None
2022-11-23T02:04:40.0200510Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0200611Z             }
2022-11-23T02:04:40.0200713Z             
2022-11-23T02:04:40.0200827Z  - 
2022-11-23T02:04:40.0201061Z             local 'model.__closure__[0].cell_contents' FUNCTION_MATCH
2022-11-23T02:04:40.0201165Z             {
2022-11-23T02:04:40.0201364Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0201661Z                 'code': ['___check_obj_id(model.__closure__[0].cell_contents, 140348030890768)'],
2022-11-23T02:04:40.0201985Z                 'obj_weakref': <weakref at 0x7fa51c3e49f0; to 'OpOverloadPacket' at 0x7fa55286b310>
2022-11-23T02:04:40.0202323Z                 'guarded_class': <weakref at 0x7fa55b2f0770; to 'type' at 0x555af5267920 (OpOverloadPacket)>
2022-11-23T02:04:40.0202430Z             }
2022-11-23T02:04:40.0202531Z             
2022-11-23T02:04:40.0202866Z [2022-11-23 02:01:11,227] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 341
2022-11-23T02:04:40.0202891Z 
2022-11-23T02:04:40.0203041Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.0203152Z import torch
2022-11-23T02:04:40.0203261Z import random
2022-11-23T02:04:40.0203434Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.0203610Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.0203630Z 
2022-11-23T02:04:40.0203748Z aten = torch.ops.aten
2022-11-23T02:04:40.0203915Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.0204061Z async_compile = AsyncCompile()
2022-11-23T02:04:40.0204081Z 
2022-11-23T02:04:40.0204101Z 
2022-11-23T02:04:40.0204301Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.0204583Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.0204752Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.0205012Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:40.0205156Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:40.0205295Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:40.0205418Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:40.0205560Z                        float* __restrict__ out_ptr4)
2022-11-23T02:04:40.0205662Z {
2022-11-23T02:04:40.0205810Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.0205911Z     {
2022-11-23T02:04:40.0206049Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.0206170Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T02:04:40.0206247Z         {
2022-11-23T02:04:40.0206369Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:40.0206467Z             {
2022-11-23T02:04:40.0206593Z                 #pragma GCC ivdep
2022-11-23T02:04:40.0206724Z                 for(long i2=0; i2<5; i2+=1)
2022-11-23T02:04:40.0206828Z                 {
2022-11-23T02:04:40.0206936Z                     {
2022-11-23T02:04:40.0207024Z                         {
2022-11-23T02:04:40.0207196Z                             auto tmp0 = static_cast<long>(((3 + (6*i1)) / 4));
2022-11-23T02:04:40.0207369Z                             auto tmp1 = static_cast<long>(((9 + (6*i1)) / 4));
2022-11-23T02:04:40.0207575Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T02:04:40.0207752Z                             auto tmp3 = static_cast<long>(((4 + (12*i2)) / 5));
2022-11-23T02:04:40.0207925Z                             auto tmp4 = static_cast<long>(((16 + (12*i2)) / 5));
2022-11-23T02:04:40.0208066Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T02:04:40.0208181Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T02:04:40.0208317Z                             float tmp7 = 0.0;
2022-11-23T02:04:40.0208438Z                             if(tmp6)
2022-11-23T02:04:40.0208547Z                             {
2022-11-23T02:04:40.0208730Z                                 auto tmp8 = in_ptr0[(12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T02:04:40.0208866Z                                 tmp7 = tmp8;
2022-11-23T02:04:40.0208971Z                             }
2022-11-23T02:04:40.0209152Z                             auto tmp9 = static_cast<long>(1 + (((4 + (12*i2)) / 5)));
2022-11-23T02:04:40.0209275Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T02:04:40.0209421Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T02:04:40.0209556Z                             float tmp12 = 0.0;
2022-11-23T02:04:40.0209671Z                             if(tmp11)
2022-11-23T02:04:40.0209778Z                             {
2022-11-23T02:04:40.0209965Z                                 auto tmp13 = in_ptr0[1 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T02:04:40.0210100Z                                 tmp12 = tmp13;
2022-11-23T02:04:40.0210185Z                             }
2022-11-23T02:04:40.0210329Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T02:04:40.0210509Z                             auto tmp15 = static_cast<long>(2 + (((4 + (12*i2)) / 5)));
2022-11-23T02:04:40.0210654Z                             auto tmp16 = tmp15 < tmp4;
2022-11-23T02:04:40.0210797Z                             auto tmp17 = tmp2 & tmp16;
2022-11-23T02:04:40.0210930Z                             float tmp18 = 0.0;
2022-11-23T02:04:40.0211048Z                             if(tmp17)
2022-11-23T02:04:40.0211155Z                             {
2022-11-23T02:04:40.0211319Z                                 auto tmp19 = in_ptr0[2 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T02:04:40.0211452Z                                 tmp18 = tmp19;
2022-11-23T02:04:40.0211563Z                             }
2022-11-23T02:04:40.0211710Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T02:04:40.0211889Z                             auto tmp21 = static_cast<long>(1 + (((3 + (6*i1)) / 4)));
2022-11-23T02:04:40.0212158Z                             auto tmp22 = tmp21 < tmp1;
2022-11-23T02:04:40.0212302Z                             auto tmp23 = tmp22 & tmp5;
2022-11-23T02:04:40.0212413Z                             float tmp24 = 0.0;
2022-11-23T02:04:40.0212535Z                             if(tmp23)
2022-11-23T02:04:40.0212651Z                             {
2022-11-23T02:04:40.0212838Z                                 auto tmp25 = in_ptr0[12 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T02:04:40.0212972Z                                 tmp24 = tmp25;
2022-11-23T02:04:40.0213081Z                             }
2022-11-23T02:04:40.0213229Z                             auto tmp26 = tmp24 + tmp20;
2022-11-23T02:04:40.0213351Z                             auto tmp27 = tmp22 & tmp10;
2022-11-23T02:04:40.0213494Z                             float tmp28 = 0.0;
2022-11-23T02:04:40.0213616Z                             if(tmp27)
2022-11-23T02:04:40.0213724Z                             {
2022-11-23T02:04:40.0213912Z                                 auto tmp29 = in_ptr0[13 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T02:04:40.0214048Z                                 tmp28 = tmp29;
2022-11-23T02:04:40.0214155Z                             }
2022-11-23T02:04:40.0214354Z                             auto tmp30 = tmp28 + tmp26;
2022-11-23T02:04:40.0214481Z                             auto tmp31 = tmp22 & tmp16;
2022-11-23T02:04:40.0214617Z                             float tmp32 = 0.0;
2022-11-23T02:04:40.0214736Z                             if(tmp31)
2022-11-23T02:04:40.0214843Z                             {
2022-11-23T02:04:40.0215029Z                                 auto tmp33 = in_ptr0[14 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T02:04:40.0215159Z                                 tmp32 = tmp33;
2022-11-23T02:04:40.0215267Z                             }
2022-11-23T02:04:40.0215390Z                             auto tmp34 = tmp32 + tmp30;
2022-11-23T02:04:40.0215551Z                             out_ptr0[i2 + (5*i1) + (20*i0)] = tmp34;
2022-11-23T02:04:40.0215658Z                         }
2022-11-23T02:04:40.0215762Z                     }
2022-11-23T02:04:40.0215865Z                 }
2022-11-23T02:04:40.0215964Z             }
2022-11-23T02:04:40.0216599Z         }
2022-11-23T02:04:40.0216782Z         #pragma omp for 
2022-11-23T02:04:40.0216980Z         for(long i0=0; i0<27; i0+=1)
2022-11-23T02:04:40.0217133Z         {
2022-11-23T02:04:40.0217320Z             #pragma GCC ivdep
2022-11-23T02:04:40.0217525Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T02:04:40.0217680Z             {
2022-11-23T02:04:40.0217843Z                 {
2022-11-23T02:04:40.0217977Z                     {
2022-11-23T02:04:40.0218225Z                         auto tmp0 = in_ptr0[(2*i1) + (24*i0)];
2022-11-23T02:04:40.0218390Z                         auto tmp1 = in_ptr0[1 + (2*i1) + (24*i0)];
2022-11-23T02:04:40.0218546Z                         auto tmp3 = in_ptr0[12 + (2*i1) + (24*i0)];
2022-11-23T02:04:40.0218704Z                         auto tmp5 = in_ptr0[13 + (2*i1) + (24*i0)];
2022-11-23T02:04:40.0218846Z                         auto tmp2 = tmp1 + tmp0;
2022-11-23T02:04:40.0218986Z                         auto tmp4 = tmp3 + tmp2;
2022-11-23T02:04:40.0219106Z                         auto tmp6 = tmp5 + tmp4;
2022-11-23T02:04:40.0219268Z                         auto tmp7 = static_cast<float>(1.0);
2022-11-23T02:04:40.0219406Z                         auto tmp8 = tmp6 * tmp7;
2022-11-23T02:04:40.0219549Z                         out_ptr1[i1 + (6*i0)] = tmp8;
2022-11-23T02:04:40.0219652Z                     }
2022-11-23T02:04:40.0219753Z                 }
2022-11-23T02:04:40.0219853Z             }
2022-11-23T02:04:40.0219929Z         }
2022-11-23T02:04:40.0220068Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.0220192Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T02:04:40.0220294Z         {
2022-11-23T02:04:40.0220421Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T02:04:40.0220691Z             {
2022-11-23T02:04:40.0220819Z                 #pragma GCC ivdep
2022-11-23T02:04:40.0220929Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T02:04:40.0221027Z                 {
2022-11-23T02:04:40.0221129Z                     {
2022-11-23T02:04:40.0221238Z                         {
2022-11-23T02:04:40.0221399Z                             auto tmp0 = static_cast<long>(3*i1);
2022-11-23T02:04:40.0221564Z                             auto tmp1 = static_cast<long>(3 + (3*i1));
2022-11-23T02:04:40.0221709Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T02:04:40.0221856Z                             auto tmp3 = static_cast<long>(((7 + (12*i2)) / 8));
2022-11-23T02:04:40.0222029Z                             auto tmp4 = static_cast<long>(((19 + (12*i2)) / 8));
2022-11-23T02:04:40.0222175Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T02:04:40.0222314Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T02:04:40.0222448Z                             float tmp7 = 0.0;
2022-11-23T02:04:40.0222569Z                             if(tmp6)
2022-11-23T02:04:40.0222682Z                             {
2022-11-23T02:04:40.0222833Z                                 auto tmp8 = in_ptr0[(36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T02:04:40.0223035Z                                 tmp7 = tmp8;
2022-11-23T02:04:40.0223151Z                             }
2022-11-23T02:04:40.0223326Z                             auto tmp9 = static_cast<long>(1 + (((7 + (12*i2)) / 8)));
2022-11-23T02:04:40.0223471Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T02:04:40.0223620Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T02:04:40.0223753Z                             float tmp12 = 0.0;
2022-11-23T02:04:40.0223851Z                             if(tmp11)
2022-11-23T02:04:40.0223959Z                             {
2022-11-23T02:04:40.0224142Z                                 auto tmp13 = in_ptr0[1 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T02:04:40.0224285Z                                 tmp12 = tmp13;
2022-11-23T02:04:40.0224392Z                             }
2022-11-23T02:04:40.0224537Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T02:04:40.0224712Z                             auto tmp15 = static_cast<long>(1 + (3*i1));
2022-11-23T02:04:40.0224860Z                             auto tmp16 = tmp15 < tmp1;
2022-11-23T02:04:40.0224983Z                             auto tmp17 = tmp16 & tmp5;
2022-11-23T02:04:40.0225117Z                             float tmp18 = 0.0;
2022-11-23T02:04:40.0225236Z                             if(tmp17)
2022-11-23T02:04:40.0225344Z                             {
2022-11-23T02:04:40.0225522Z                                 auto tmp19 = in_ptr0[12 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T02:04:40.0225652Z                                 tmp18 = tmp19;
2022-11-23T02:04:40.0225760Z                             }
2022-11-23T02:04:40.0225882Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T02:04:40.0226035Z                             auto tmp21 = tmp16 & tmp10;
2022-11-23T02:04:40.0226172Z                             float tmp22 = 0.0;
2022-11-23T02:04:40.0226289Z                             if(tmp21)
2022-11-23T02:04:40.0226393Z                             {
2022-11-23T02:04:40.0226574Z                                 auto tmp23 = in_ptr0[13 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T02:04:40.0226705Z                                 tmp22 = tmp23;
2022-11-23T02:04:40.0226790Z                             }
2022-11-23T02:04:40.0226937Z                             auto tmp24 = tmp22 + tmp20;
2022-11-23T02:04:40.0227106Z                             auto tmp25 = static_cast<long>(2 + (3*i1));
2022-11-23T02:04:40.0227249Z                             auto tmp26 = tmp25 < tmp1;
2022-11-23T02:04:40.0227389Z                             auto tmp27 = tmp26 & tmp5;
2022-11-23T02:04:40.0227526Z                             float tmp28 = 0.0;
2022-11-23T02:04:40.0227643Z                             if(tmp27)
2022-11-23T02:04:40.0227816Z                             {
2022-11-23T02:04:40.0227972Z                                 auto tmp29 = in_ptr0[24 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T02:04:40.0228103Z                                 tmp28 = tmp29;
2022-11-23T02:04:40.0228215Z                             }
2022-11-23T02:04:40.0228360Z                             auto tmp30 = tmp28 + tmp24;
2022-11-23T02:04:40.0228504Z                             auto tmp31 = tmp26 & tmp10;
2022-11-23T02:04:40.0228638Z                             float tmp32 = 0.0;
2022-11-23T02:04:40.0228759Z                             if(tmp31)
2022-11-23T02:04:40.0228843Z                             {
2022-11-23T02:04:40.0229018Z                                 auto tmp33 = in_ptr0[25 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T02:04:40.0229147Z                                 tmp32 = tmp33;
2022-11-23T02:04:40.0229258Z                             }
2022-11-23T02:04:40.0229405Z                             auto tmp34 = tmp32 + tmp30;
2022-11-23T02:04:40.0229536Z                             float tmp35 = 0.0;
2022-11-23T02:04:40.0229653Z                             if(tmp6)
2022-11-23T02:04:40.0229737Z                             {
2022-11-23T02:04:40.0229974Z                                 auto tmp36 = in_ptr0[(36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T02:04:40.0230112Z                                 tmp35 = tmp36;
2022-11-23T02:04:40.0230220Z                             }
2022-11-23T02:04:40.0230355Z                             float tmp37 = 0.0;
2022-11-23T02:04:40.0230477Z                             if(tmp11)
2022-11-23T02:04:40.0230583Z                             {
2022-11-23T02:04:40.0230764Z                                 auto tmp38 = in_ptr0[1 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T02:04:40.0230868Z                                 tmp37 = tmp38;
2022-11-23T02:04:40.0230980Z                             }
2022-11-23T02:04:40.0231120Z                             auto tmp39 = tmp37 + tmp35;
2022-11-23T02:04:40.0231255Z                             float tmp40 = 0.0;
2022-11-23T02:04:40.0231369Z                             if(tmp17)
2022-11-23T02:04:40.0231476Z                             {
2022-11-23T02:04:40.0231659Z                                 auto tmp41 = in_ptr0[12 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T02:04:40.0231764Z                                 tmp40 = tmp41;
2022-11-23T02:04:40.0231872Z                             }
2022-11-23T02:04:40.0232015Z                             auto tmp42 = tmp40 + tmp39;
2022-11-23T02:04:40.0232150Z                             float tmp43 = 0.0;
2022-11-23T02:04:40.0232264Z                             if(tmp21)
2022-11-23T02:04:40.0232374Z                             {
2022-11-23T02:04:40.0232551Z                                 auto tmp44 = in_ptr0[13 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T02:04:40.0232656Z                                 tmp43 = tmp44;
2022-11-23T02:04:40.0232765Z                             }
2022-11-23T02:04:40.0232911Z                             auto tmp45 = tmp43 + tmp42;
2022-11-23T02:04:40.0233042Z                             float tmp46 = 0.0;
2022-11-23T02:04:40.0233163Z                             if(tmp27)
2022-11-23T02:04:40.0233279Z                             {
2022-11-23T02:04:40.0233456Z                                 auto tmp47 = in_ptr0[24 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T02:04:40.0233591Z                                 tmp46 = tmp47;
2022-11-23T02:04:40.0233676Z                             }
2022-11-23T02:04:40.0233825Z                             auto tmp48 = tmp46 + tmp45;
2022-11-23T02:04:40.0233961Z                             float tmp49 = 0.0;
2022-11-23T02:04:40.0234078Z                             if(tmp31)
2022-11-23T02:04:40.0234180Z                             {
2022-11-23T02:04:40.0234352Z                                 auto tmp50 = in_ptr0[25 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T02:04:40.0234554Z                                 tmp49 = tmp50;
2022-11-23T02:04:40.0234639Z                             }
2022-11-23T02:04:40.0234783Z                             auto tmp51 = tmp49 + tmp48;
2022-11-23T02:04:40.0234946Z                             out_ptr2[i2 + (8*i1) + (16*i0)] = tmp34;
2022-11-23T02:04:40.0235098Z                             out_ptr3[i2 + (8*i1) + (16*i0)] = tmp51;
2022-11-23T02:04:40.0235204Z                         }
2022-11-23T02:04:40.0235310Z                     }
2022-11-23T02:04:40.0235411Z                 }
2022-11-23T02:04:40.0235490Z             }
2022-11-23T02:04:40.0235593Z         }
2022-11-23T02:04:40.0235737Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.0235857Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T02:04:40.0235962Z         {
2022-11-23T02:04:40.0236089Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T02:04:40.0236166Z             {
2022-11-23T02:04:40.0236292Z                 #pragma GCC ivdep
2022-11-23T02:04:40.0236426Z                 for(long i2=0; i2<7; i2+=1)
2022-11-23T02:04:40.0236533Z                 {
2022-11-23T02:04:40.0236636Z                     {
2022-11-23T02:04:40.0236740Z                         {
2022-11-23T02:04:40.0236912Z                             auto tmp0 = static_cast<long>(((3 + (6*i1)) / 4));
2022-11-23T02:04:40.0237108Z                             auto tmp1 = static_cast<long>(((9 + (6*i1)) / 4));
2022-11-23T02:04:40.0237260Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T02:04:40.0237431Z                             auto tmp3 = static_cast<long>(((6 + (12*i2)) / 7));
2022-11-23T02:04:40.0237602Z                             auto tmp4 = static_cast<long>(((18 + (12*i2)) / 7));
2022-11-23T02:04:40.0237754Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T02:04:40.0237898Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T02:04:40.0238033Z                             float tmp7 = 0.0;
2022-11-23T02:04:40.0238151Z                             if(tmp6)
2022-11-23T02:04:40.0238241Z                             {
2022-11-23T02:04:40.0238426Z                                 auto tmp8 = in_ptr0[(12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2022-11-23T02:04:40.0238559Z                                 tmp7 = tmp8;
2022-11-23T02:04:40.0238673Z                             }
2022-11-23T02:04:40.0238848Z                             auto tmp9 = static_cast<long>(1 + (((6 + (12*i2)) / 7)));
2022-11-23T02:04:40.0238993Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T02:04:40.0239140Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T02:04:40.0239251Z                             float tmp12 = 0.0;
2022-11-23T02:04:40.0239371Z                             if(tmp11)
2022-11-23T02:04:40.0239483Z                             {
2022-11-23T02:04:40.0239670Z                                 auto tmp13 = in_ptr0[1 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2022-11-23T02:04:40.0239804Z                                 tmp12 = tmp13;
2022-11-23T02:04:40.0239918Z                             }
2022-11-23T02:04:40.0240064Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T02:04:40.0240246Z                             auto tmp15 = static_cast<long>(1 + (((3 + (6*i1)) / 4)));
2022-11-23T02:04:40.0240372Z                             auto tmp16 = tmp15 < tmp1;
2022-11-23T02:04:40.0240519Z                             auto tmp17 = tmp16 & tmp5;
2022-11-23T02:04:40.0240654Z                             float tmp18 = 0.0;
2022-11-23T02:04:40.0240772Z                             if(tmp17)
2022-11-23T02:04:40.0240880Z                             {
2022-11-23T02:04:40.0241064Z                                 auto tmp19 = in_ptr0[12 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2022-11-23T02:04:40.0241197Z                                 tmp18 = tmp19;
2022-11-23T02:04:40.0241280Z                             }
2022-11-23T02:04:40.0241426Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T02:04:40.0241636Z                             auto tmp21 = tmp16 & tmp10;
2022-11-23T02:04:40.0241770Z                             float tmp22 = 0.0;
2022-11-23T02:04:40.0241890Z                             if(tmp21)
2022-11-23T02:04:40.0241999Z                             {
2022-11-23T02:04:40.0242192Z                                 auto tmp23 = in_ptr0[13 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2022-11-23T02:04:40.0242326Z                                 tmp22 = tmp23;
2022-11-23T02:04:40.0242412Z                             }
2022-11-23T02:04:40.0242559Z                             auto tmp24 = tmp22 + tmp20;
2022-11-23T02:04:40.0242710Z                             out_ptr4[i2 + (7*i1) + (28*i0)] = tmp24;
2022-11-23T02:04:40.0242822Z                         }
2022-11-23T02:04:40.0242928Z                     }
2022-11-23T02:04:40.0243034Z                 }
2022-11-23T02:04:40.0243133Z             }
2022-11-23T02:04:40.0243209Z         }
2022-11-23T02:04:40.0243313Z     }
2022-11-23T02:04:40.0243416Z }
2022-11-23T02:04:40.0243622Z ''')
2022-11-23T02:04:40.0243655Z 
2022-11-23T02:04:40.0243674Z 
2022-11-23T02:04:40.0243815Z async_compile.wait(globals())
2022-11-23T02:04:40.0243927Z del async_compile
2022-11-23T02:04:40.0243946Z 
2022-11-23T02:04:40.0244064Z def call(args):
2022-11-23T02:04:40.0244206Z     arg0_1, = args
2022-11-23T02:04:40.0244331Z     args.clear()
2022-11-23T02:04:40.0244652Z     buf0 = empty_strided((3, 3, 4, 5), (60, 20, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0244948Z     buf1 = empty_strided((3, 3, 3, 6), (54, 18, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0245236Z     buf2 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0245521Z     buf3 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0245805Z     buf4 = empty_strided((3, 3, 4, 7), (84, 28, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0246132Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T02:04:40.0246225Z     del arg0_1
2022-11-23T02:04:40.0246367Z     return (buf1, buf0, buf2, buf3, buf4, )
2022-11-23T02:04:40.0246391Z 
2022-11-23T02:04:40.0246410Z 
2022-11-23T02:04:40.0246527Z if __name__ == "__main__":
2022-11-23T02:04:40.0246692Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.0246874Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.0247177Z     arg0_1 = rand_strided((3, 3, 6, 12), (216, 72, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0247337Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:40.0247832Z [2022-11-23 02:01:14,688] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ye/cyem2t6wek77joc42dng4faqksayprykx7cyy4npncykmkond4wu.py
2022-11-23T02:04:40.0248177Z [2022-11-23 02:01:14,689] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 341
2022-11-23T02:04:40.0248221Z 
2022-11-23T02:04:40.0248305Z ok (3.517s)
2022-11-23T02:04:40.0248761Z   test_upsample_nearest2d_cpu (__main__.CpuTests) ... [2022-11-23 02:01:14,697] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.0249194Z [2022-11-23 02:01:14,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.0249509Z [2022-11-23 02:01:14,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.0249862Z [2022-11-23 02:01:14,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.0250241Z [2022-11-23 02:01:14,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.0250678Z [2022-11-23 02:01:14,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0251236Z [2022-11-23 02:01:14,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0251690Z [2022-11-23 02:01:14,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0252201Z [2022-11-23 02:01:14,699] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9fe10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2969> 
2022-11-23T02:04:40.0252322Z  2971           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:40.0252494Z                2 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T02:04:40.0252632Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0252765Z                6 LOAD_CONST               1 (74)
2022-11-23T02:04:40.0252907Z                8 LOAD_CONST               2 (76)
2022-11-23T02:04:40.0253041Z               10 BUILD_LIST               2
2022-11-23T02:04:40.0253180Z               12 CALL_METHOD              2
2022-11-23T02:04:40.0253200Z 
2022-11-23T02:04:40.0253442Z 2972          14 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:40.0253611Z               16 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T02:04:40.0253746Z               18 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0253880Z               20 LOAD_CONST               3 (70)
2022-11-23T02:04:40.0254014Z               22 LOAD_CONST               4 (75)
2022-11-23T02:04:40.0254144Z               24 BUILD_LIST               2
2022-11-23T02:04:40.0254279Z               26 CALL_METHOD              2
2022-11-23T02:04:40.0254297Z 
2022-11-23T02:04:40.0254441Z 2973          28 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:40.0254580Z               30 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T02:04:40.0254712Z               32 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0254852Z               34 LOAD_CONST               5 (45)
2022-11-23T02:04:40.0254980Z               36 LOAD_CONST               1 (74)
2022-11-23T02:04:40.0255110Z               38 BUILD_LIST               2
2022-11-23T02:04:40.0255246Z               40 CALL_METHOD              2
2022-11-23T02:04:40.0255265Z 
2022-11-23T02:04:40.0255405Z 2974          42 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:40.0255568Z               44 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T02:04:40.0255680Z               46 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0255810Z               48 LOAD_CONST               6 (36)
2022-11-23T02:04:40.0255941Z               50 LOAD_CONST               7 (39)
2022-11-23T02:04:40.0256628Z               52 BUILD_LIST               2
2022-11-23T02:04:40.0256846Z               54 CALL_METHOD              2
2022-11-23T02:04:40.0256875Z 
2022-11-23T02:04:40.0257085Z 2975          56 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:40.0257342Z               58 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T02:04:40.0257499Z               60 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0257639Z               62 LOAD_CONST               0 (None)
2022-11-23T02:04:40.0257778Z               64 LOAD_CONST               8 (2.0)
2022-11-23T02:04:40.0257913Z               66 LOAD_CONST               8 (2.0)
2022-11-23T02:04:40.0258048Z               68 BUILD_LIST               2
2022-11-23T02:04:40.0258183Z               70 CALL_METHOD              3
2022-11-23T02:04:40.0258202Z 
2022-11-23T02:04:40.0258333Z 2970          72 BUILD_TUPLE              5
2022-11-23T02:04:40.0258452Z               74 RETURN_VALUE
2022-11-23T02:04:40.0258527Z  
2022-11-23T02:04:40.0258546Z 
2022-11-23T02:04:40.0259017Z [2022-11-23 02:01:14,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2971
2022-11-23T02:04:40.0259318Z [2022-11-23 02:01:14,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:40.0259976Z [2022-11-23 02:01:14,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.0260351Z [2022-11-23 02:01:14,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest2d)]
2022-11-23T02:04:40.0260762Z [2022-11-23 02:01:14,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T02:04:40.0261223Z [2022-11-23 02:01:14,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 76 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0261729Z [2022-11-23 02:01:14,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:40.0262178Z [2022-11-23 02:01:14,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0262675Z [2022-11-23 02:01:14,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2972
2022-11-23T02:04:40.0262994Z [2022-11-23 02:01:14,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:40.0263476Z [2022-11-23 02:01:14,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.0263887Z [2022-11-23 02:01:14,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T02:04:40.0264338Z [2022-11-23 02:01:14,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T02:04:40.0264832Z [2022-11-23 02:01:14,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 75 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0265377Z [2022-11-23 02:01:14,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:40.0265867Z [2022-11-23 02:01:14,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0266291Z [2022-11-23 02:01:14,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2973
2022-11-23T02:04:40.0266661Z [2022-11-23 02:01:14,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0267179Z [2022-11-23 02:01:14,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.0267627Z [2022-11-23 02:01:14,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T02:04:40.0268106Z [2022-11-23 02:01:14,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T02:04:40.0268637Z [2022-11-23 02:01:14,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0269189Z [2022-11-23 02:01:14,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:40.0269784Z [2022-11-23 02:01:14,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0270208Z [2022-11-23 02:01:14,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2974
2022-11-23T02:04:40.0270611Z [2022-11-23 02:01:14,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0271163Z [2022-11-23 02:01:14,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.0271635Z [2022-11-23 02:01:14,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T02:04:40.0272200Z [2022-11-23 02:01:14,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T02:04:40.0272774Z [2022-11-23 02:01:14,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 39 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0273392Z [2022-11-23 02:01:14,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:40.0273949Z [2022-11-23 02:01:14,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0274378Z [2022-11-23 02:01:14,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2975
2022-11-23T02:04:40.0274825Z [2022-11-23 02:01:14,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0275414Z [2022-11-23 02:01:14,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.0275929Z [2022-11-23 02:01:14,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T02:04:40.0276489Z [2022-11-23 02:01:14,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T02:04:40.0277097Z [2022-11-23 02:01:14,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:40.0277764Z [2022-11-23 02:01:14,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)]
2022-11-23T02:04:40.0278488Z [2022-11-23 02:01:14,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T02:04:40.0279234Z [2022-11-23 02:01:14,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T02:04:40.0279666Z [2022-11-23 02:01:14,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2970
2022-11-23T02:04:40.0280141Z [2022-11-23 02:01:14,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0280479Z [2022-11-23 02:01:14,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0280995Z [2022-11-23 02:01:14,751] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9fe10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2969>
2022-11-23T02:04:40.0281341Z [2022-11-23 02:01:14,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0281742Z [2022-11-23 02:01:14,752] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0282097Z [2022-11-23 02:01:14,754] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0282441Z [2022-11-23 02:01:14,761] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0282709Z [2022-11-23 02:01:14,762] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0282880Z  __compiled_fn_350 <eval_with_key>.2574 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0283015Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0283227Z call_function, upsample_nearest2d, aten.upsample_nearest2d, (ex_0_, [74, 76]), {}
2022-11-23T02:04:40.0283445Z call_function, upsample_nearest2d_1, aten.upsample_nearest2d, (ex_0_, [70, 75]), {}
2022-11-23T02:04:40.0283650Z call_function, upsample_nearest2d_2, aten.upsample_nearest2d, (ex_0_, [45, 74]), {}
2022-11-23T02:04:40.0283850Z call_function, upsample_nearest2d_3, aten.upsample_nearest2d, (ex_0_, [36, 39]), {}
2022-11-23T02:04:40.0284069Z call_function, upsample_nearest2d_4, aten.upsample_nearest2d, (ex_0_, None, [2.0, 2.0]), {}
2022-11-23T02:04:40.0284374Z output, output, output, ((upsample_nearest2d, upsample_nearest2d_1, upsample_nearest2d_2, upsample_nearest2d_3, upsample_nearest2d_4),), {}
2022-11-23T02:04:40.0284399Z 
2022-11-23T02:04:40.0284863Z [2022-11-23 02:01:14,762] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0284984Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0285120Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0285255Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0285403Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0285533Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0285667Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0285788Z              12 RETURN_VALUE
2022-11-23T02:04:40.0285808Z 
2022-11-23T02:04:40.0285882Z  
2022-11-23T02:04:40.0286335Z [2022-11-23 02:01:14,763] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0286500Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_350)
2022-11-23T02:04:40.0286637Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0286777Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0286900Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0287036Z               8 CALL_FUNCTION            1
2022-11-23T02:04:40.0287186Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.0287405Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0287539Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0287658Z              16 BINARY_SUBSCR
2022-11-23T02:04:40.0287890Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0288028Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:40.0288144Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.0288294Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0288403Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:40.0288517Z              28 BINARY_SUBSCR
2022-11-23T02:04:40.0288667Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0288800Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:40.0288914Z              34 BINARY_SUBSCR
2022-11-23T02:04:40.0289061Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0289196Z              38 LOAD_CONST               5 (4)
2022-11-23T02:04:40.0289294Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.0289427Z              42 BUILD_TUPLE              5
2022-11-23T02:04:40.0289545Z              44 RETURN_VALUE
2022-11-23T02:04:40.0289565Z 
2022-11-23T02:04:40.0289662Z  
2022-11-23T02:04:40.0290007Z [2022-11-23 02:01:14,764] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0290126Z  - 
2022-11-23T02:04:40.0290304Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0290382Z             {
2022-11-23T02:04:40.0290586Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0290849Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:40.0291026Z                 'obj_weakref': None
2022-11-23T02:04:40.0291340Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0291444Z             }
2022-11-23T02:04:40.0291548Z             
2022-11-23T02:04:40.0291635Z  - 
2022-11-23T02:04:40.0291822Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0291923Z             {
2022-11-23T02:04:40.0292131Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0292289Z                 'code': None,
2022-11-23T02:04:40.0292594Z                 'obj_weakref': <weakref at 0x7fa51c3539c0; to 'Tensor' at 0x7fa53228c680>
2022-11-23T02:04:40.0292944Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0293021Z             }
2022-11-23T02:04:40.0293123Z             
2022-11-23T02:04:40.0293237Z  - 
2022-11-23T02:04:40.0293424Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0293524Z             {
2022-11-23T02:04:40.0293719Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0293963Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.0294111Z                 'obj_weakref': None
2022-11-23T02:04:40.0294426Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0294531Z             }
2022-11-23T02:04:40.0294635Z             
2022-11-23T02:04:40.0294748Z  - 
2022-11-23T02:04:40.0294928Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0295037Z             {
2022-11-23T02:04:40.0295209Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0295511Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0295686Z                 'obj_weakref': None
2022-11-23T02:04:40.0295992Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0296560Z             }
2022-11-23T02:04:40.0296734Z             
2022-11-23T02:04:40.0296910Z  - 
2022-11-23T02:04:40.0297195Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:40.0297343Z             {
2022-11-23T02:04:40.0297626Z                 'guard_types': None,
2022-11-23T02:04:40.0298104Z                 'code': None,
2022-11-23T02:04:40.0298281Z                 'obj_weakref': None
2022-11-23T02:04:40.0298451Z                 'guarded_class': None
2022-11-23T02:04:40.0298545Z             }
2022-11-23T02:04:40.0298622Z             
2022-11-23T02:04:40.0298984Z [2022-11-23 02:01:14,777] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 342
2022-11-23T02:04:40.0299476Z [2022-11-23 02:01:17,509] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f6/cf6iyglj2z5vu2yrtqetsnsvhwlut2hr7xnyftk3wvqgpk3s2nmp.py
2022-11-23T02:04:40.0299838Z [2022-11-23 02:01:17,509] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 342
2022-11-23T02:04:40.0299861Z 
2022-11-23T02:04:40.0300000Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.0300107Z import torch
2022-11-23T02:04:40.0300213Z import random
2022-11-23T02:04:40.0300378Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.0300530Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.0300554Z 
2022-11-23T02:04:40.0300673Z aten = torch.ops.aten
2022-11-23T02:04:40.0300859Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.0300995Z async_compile = AsyncCompile()
2022-11-23T02:04:40.0301014Z 
2022-11-23T02:04:40.0301119Z 
2022-11-23T02:04:40.0301321Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.0301604Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.0301776Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.0301922Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:40.0302042Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:40.0302182Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:40.0302319Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:40.0302456Z                        float* __restrict__ out_ptr4)
2022-11-23T02:04:40.0302555Z {
2022-11-23T02:04:40.0302698Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.0302795Z     {
2022-11-23T02:04:40.0302890Z         #pragma omp for 
2022-11-23T02:04:40.0303010Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:40.0303104Z         {
2022-11-23T02:04:40.0303223Z             #pragma GCC ivdep
2022-11-23T02:04:40.0303348Z             for(long i1=0; i1<74; i1+=1)
2022-11-23T02:04:40.0303448Z             {
2022-11-23T02:04:40.0303550Z                 #pragma GCC ivdep
2022-11-23T02:04:40.0303682Z                 for(long i2=0; i2<76; i2+=1)
2022-11-23T02:04:40.0303779Z                 {
2022-11-23T02:04:40.0303880Z                     {
2022-11-23T02:04:40.0303982Z                         {
2022-11-23T02:04:40.0304139Z                             auto tmp0 = static_cast<float>(i1);
2022-11-23T02:04:40.0304299Z                             auto tmp1 = static_cast<float>(0.5);
2022-11-23T02:04:40.0304436Z                             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.0304576Z                             auto tmp3 = static_cast<int>(tmp2);
2022-11-23T02:04:40.0304730Z                             auto tmp4 = static_cast<float>(i2);
2022-11-23T02:04:40.0304868Z                             auto tmp5 = tmp4 * tmp1;
2022-11-23T02:04:40.0305025Z                             auto tmp6 = static_cast<int>(tmp5);
2022-11-23T02:04:40.0305196Z                             auto tmp7 = in_ptr0[tmp6 + (38*tmp3) + (1406*i0)];
2022-11-23T02:04:40.0305351Z                             out_ptr0[i2 + (76*i1) + (5624*i0)] = tmp7;
2022-11-23T02:04:40.0305502Z                             out_ptr1[i2 + (76*i1) + (5624*i0)] = tmp7;
2022-11-23T02:04:40.0305583Z                         }
2022-11-23T02:04:40.0305683Z                     }
2022-11-23T02:04:40.0305780Z                 }
2022-11-23T02:04:40.0305879Z             }
2022-11-23T02:04:40.0305973Z         }
2022-11-23T02:04:40.0306089Z         #pragma omp for 
2022-11-23T02:04:40.0306208Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:40.0306360Z         {
2022-11-23T02:04:40.0306478Z             #pragma GCC ivdep
2022-11-23T02:04:40.0306662Z             for(long i1=0; i1<70; i1+=1)
2022-11-23T02:04:40.0306760Z             {
2022-11-23T02:04:40.0306883Z                 #pragma GCC ivdep
2022-11-23T02:04:40.0307021Z                 for(long i2=0; i2<75; i2+=1)
2022-11-23T02:04:40.0307121Z                 {
2022-11-23T02:04:40.0307202Z                     {
2022-11-23T02:04:40.0307304Z                         {
2022-11-23T02:04:40.0307466Z                             auto tmp0 = static_cast<float>(i1);
2022-11-23T02:04:40.0307634Z                             auto tmp1 = static_cast<float>(0.5285714285714286);
2022-11-23T02:04:40.0307771Z                             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.0307925Z                             auto tmp3 = static_cast<int>(tmp2);
2022-11-23T02:04:40.0308080Z                             auto tmp4 = static_cast<float>(i2);
2022-11-23T02:04:40.0308229Z                             auto tmp5 = static_cast<float>(0.5066666666666667);
2022-11-23T02:04:40.0308374Z                             auto tmp6 = tmp4 * tmp5;
2022-11-23T02:04:40.0308537Z                             auto tmp7 = static_cast<int>(tmp6);
2022-11-23T02:04:40.0308779Z                             auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)];
2022-11-23T02:04:40.0308940Z                             out_ptr2[i2 + (75*i1) + (5250*i0)] = tmp8;
2022-11-23T02:04:40.0309052Z                         }
2022-11-23T02:04:40.0309157Z                     }
2022-11-23T02:04:40.0309235Z                 }
2022-11-23T02:04:40.0309338Z             }
2022-11-23T02:04:40.0309441Z         }
2022-11-23T02:04:40.0309560Z         #pragma omp for 
2022-11-23T02:04:40.0309688Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:40.0309789Z         {
2022-11-23T02:04:40.0309911Z             #pragma GCC ivdep
2022-11-23T02:04:40.0310018Z             for(long i1=0; i1<45; i1+=1)
2022-11-23T02:04:40.0310119Z             {
2022-11-23T02:04:40.0310252Z                 #pragma GCC ivdep
2022-11-23T02:04:40.0310385Z                 for(long i2=0; i2<74; i2+=1)
2022-11-23T02:04:40.0310484Z                 {
2022-11-23T02:04:40.0310584Z                     {
2022-11-23T02:04:40.0310690Z                         {
2022-11-23T02:04:40.0310830Z                             auto tmp0 = static_cast<float>(i1);
2022-11-23T02:04:40.0310998Z                             auto tmp1 = static_cast<float>(0.8222222222222222);
2022-11-23T02:04:40.0311137Z                             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.0311291Z                             auto tmp3 = static_cast<int>(tmp2);
2022-11-23T02:04:40.0311446Z                             auto tmp4 = static_cast<float>(i2);
2022-11-23T02:04:40.0311617Z                             auto tmp5 = static_cast<float>(0.5135135135135135);
2022-11-23T02:04:40.0311761Z                             auto tmp6 = tmp4 * tmp5;
2022-11-23T02:04:40.0311895Z                             auto tmp7 = static_cast<int>(tmp6);
2022-11-23T02:04:40.0312069Z                             auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)];
2022-11-23T02:04:40.0312228Z                             out_ptr3[i2 + (74*i1) + (3330*i0)] = tmp8;
2022-11-23T02:04:40.0312339Z                         }
2022-11-23T02:04:40.0312448Z                     }
2022-11-23T02:04:40.0312552Z                 }
2022-11-23T02:04:40.0312654Z             }
2022-11-23T02:04:40.0312730Z         }
2022-11-23T02:04:40.0312848Z         #pragma omp for 
2022-11-23T02:04:40.0312968Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:40.0313064Z         {
2022-11-23T02:04:40.0313186Z             #pragma GCC ivdep
2022-11-23T02:04:40.0313315Z             for(long i1=0; i1<36; i1+=1)
2022-11-23T02:04:40.0313417Z             {
2022-11-23T02:04:40.0313519Z                 #pragma GCC ivdep
2022-11-23T02:04:40.0313656Z                 for(long i2=0; i2<39; i2+=1)
2022-11-23T02:04:40.0313762Z                 {
2022-11-23T02:04:40.0313866Z                     {
2022-11-23T02:04:40.0314049Z                         {
2022-11-23T02:04:40.0314208Z                             auto tmp0 = static_cast<float>(i1);
2022-11-23T02:04:40.0314381Z                             auto tmp1 = static_cast<float>(1.0277777777777777);
2022-11-23T02:04:40.0314506Z                             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.0314666Z                             auto tmp3 = static_cast<int>(tmp2);
2022-11-23T02:04:40.0314822Z                             auto tmp4 = static_cast<float>(i2);
2022-11-23T02:04:40.0314990Z                             auto tmp5 = static_cast<float>(0.9743589743589743);
2022-11-23T02:04:40.0315133Z                             auto tmp6 = tmp4 * tmp5;
2022-11-23T02:04:40.0315285Z                             auto tmp7 = static_cast<int>(tmp6);
2022-11-23T02:04:40.0315458Z                             auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)];
2022-11-23T02:04:40.0315592Z                             out_ptr4[i2 + (39*i1) + (1404*i0)] = tmp8;
2022-11-23T02:04:40.0315704Z                         }
2022-11-23T02:04:40.0315808Z                     }
2022-11-23T02:04:40.0315909Z                 }
2022-11-23T02:04:40.0316012Z             }
2022-11-23T02:04:40.0316110Z         }
2022-11-23T02:04:40.0316215Z     }
2022-11-23T02:04:40.0316287Z }
2022-11-23T02:04:40.0316517Z ''')
2022-11-23T02:04:40.0316544Z 
2022-11-23T02:04:40.0316562Z 
2022-11-23T02:04:40.0316709Z async_compile.wait(globals())
2022-11-23T02:04:40.0316821Z del async_compile
2022-11-23T02:04:40.0316840Z 
2022-11-23T02:04:40.0316951Z def call(args):
2022-11-23T02:04:40.0317060Z     arg0_1, = args
2022-11-23T02:04:40.0317172Z     args.clear()
2022-11-23T02:04:40.0317470Z     buf0 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0317771Z     buf4 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0318068Z     buf1 = empty_strided((2, 4, 70, 75), (21000, 5250, 75, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0318373Z     buf2 = empty_strided((2, 4, 45, 74), (13320, 3330, 74, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0318672Z     buf3 = empty_strided((2, 4, 36, 39), (5616, 1404, 39, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0319003Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T02:04:40.0319112Z     del arg0_1
2022-11-23T02:04:40.0319263Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T02:04:40.0319284Z 
2022-11-23T02:04:40.0319302Z 
2022-11-23T02:04:40.0319417Z if __name__ == "__main__":
2022-11-23T02:04:40.0319561Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.0319741Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.0320047Z     arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0320205Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:40.0320229Z 
2022-11-23T02:04:40.0320335Z ok (2.823s)
2022-11-23T02:04:40.0320781Z   test_upsample_nearest3d_cpu (__main__.CpuTests) ... [2022-11-23 02:01:17,528] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.0321220Z [2022-11-23 02:01:17,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.0321524Z [2022-11-23 02:01:17,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.0321875Z [2022-11-23 02:01:17,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.0322230Z [2022-11-23 02:01:17,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.0322666Z [2022-11-23 02:01:17,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0323250Z [2022-11-23 02:01:17,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0323693Z [2022-11-23 02:01:17,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0324196Z [2022-11-23 02:01:17,529] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f88030, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2981> 
2022-11-23T02:04:40.0324340Z  2983           0 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:40.0324506Z                2 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T02:04:40.0324645Z                4 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0324784Z                6 BUILD_LIST               0
2022-11-23T02:04:40.0324905Z                8 LOAD_CONST               1 ((74, 76, 78))
2022-11-23T02:04:40.0325043Z               10 LIST_EXTEND              1
2022-11-23T02:04:40.0325181Z               12 LOAD_CONST               0 (None)
2022-11-23T02:04:40.0325314Z               14 CALL_METHOD              3
2022-11-23T02:04:40.0325333Z 
2022-11-23T02:04:40.0325524Z 2984          16 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:40.0325694Z               18 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T02:04:40.0325831Z               20 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0325963Z               22 BUILD_LIST               0
2022-11-23T02:04:40.0326086Z               24 LOAD_CONST               2 ((70, 75, 80))
2022-11-23T02:04:40.0326218Z               26 LIST_EXTEND              1
2022-11-23T02:04:40.0326358Z               28 LOAD_CONST               0 (None)
2022-11-23T02:04:40.0326490Z               30 CALL_METHOD              3
2022-11-23T02:04:40.0326509Z 
2022-11-23T02:04:40.0326645Z 2985          32 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:40.0326813Z               34 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T02:04:40.0326946Z               36 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0327053Z               38 BUILD_LIST               0
2022-11-23T02:04:40.0327202Z               40 LOAD_CONST               3 ((45, 74, 103))
2022-11-23T02:04:40.0327336Z               42 LIST_EXTEND              1
2022-11-23T02:04:40.0327471Z               44 LOAD_CONST               0 (None)
2022-11-23T02:04:40.0327601Z               46 CALL_METHOD              3
2022-11-23T02:04:40.0327619Z 
2022-11-23T02:04:40.0327756Z 2986          48 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:40.0327922Z               50 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T02:04:40.0328062Z               52 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0328167Z               54 BUILD_LIST               0
2022-11-23T02:04:40.0328309Z               56 LOAD_CONST               4 ((36, 39, 40))
2022-11-23T02:04:40.0328442Z               58 LIST_EXTEND              1
2022-11-23T02:04:40.0328582Z               60 LOAD_CONST               0 (None)
2022-11-23T02:04:40.0328712Z               62 CALL_METHOD              3
2022-11-23T02:04:40.0328731Z 
2022-11-23T02:04:40.0328871Z 2987          64 LOAD_GLOBAL              0 (aten)
2022-11-23T02:04:40.0329030Z               66 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T02:04:40.0329165Z               68 LOAD_FAST                0 (a)
2022-11-23T02:04:40.0329278Z               70 LOAD_CONST               0 (None)
2022-11-23T02:04:40.0329403Z               72 BUILD_LIST               0
2022-11-23T02:04:40.0329547Z               74 LOAD_CONST               5 ((2.0, 2.0, 2.0))
2022-11-23T02:04:40.0329679Z               76 LIST_EXTEND              1
2022-11-23T02:04:40.0329806Z               78 CALL_METHOD              3
2022-11-23T02:04:40.0329825Z 
2022-11-23T02:04:40.0329958Z 2982          80 BUILD_TUPLE              5
2022-11-23T02:04:40.0330143Z               82 RETURN_VALUE
2022-11-23T02:04:40.0330217Z  
2022-11-23T02:04:40.0330236Z 
2022-11-23T02:04:40.0330679Z [2022-11-23 02:01:17,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2983
2022-11-23T02:04:40.0330987Z [2022-11-23 02:01:17,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T02:04:40.0331431Z [2022-11-23 02:01:17,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.0331814Z [2022-11-23 02:01:17,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest3d)]
2022-11-23T02:04:40.0332224Z [2022-11-23 02:01:17,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T02:04:40.0332733Z [2022-11-23 02:01:17,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (74, 76, 78) [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0333240Z [2022-11-23 02:01:17,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:40.0333741Z [2022-11-23 02:01:17,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0334247Z [2022-11-23 02:01:17,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:40.0334669Z [2022-11-23 02:01:17,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2984
2022-11-23T02:04:40.0334982Z [2022-11-23 02:01:17,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T02:04:40.0335457Z [2022-11-23 02:01:17,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.0335860Z [2022-11-23 02:01:17,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T02:04:40.0337117Z [2022-11-23 02:01:17,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T02:04:40.0338025Z [2022-11-23 02:01:17,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (70, 75, 80) [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0338676Z [2022-11-23 02:01:17,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:40.0339165Z [2022-11-23 02:01:17,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0339710Z [2022-11-23 02:01:17,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:40.0340129Z [2022-11-23 02:01:17,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2985
2022-11-23T02:04:40.0340494Z [2022-11-23 02:01:17,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0341007Z [2022-11-23 02:01:17,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.0341629Z [2022-11-23 02:01:17,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T02:04:40.0342113Z [2022-11-23 02:01:17,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T02:04:40.0342621Z [2022-11-23 02:01:17,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (45, 74, 103) [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0343191Z [2022-11-23 02:01:17,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:40.0343701Z [2022-11-23 02:01:17,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0344421Z [2022-11-23 02:01:17,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:40.0344853Z [2022-11-23 02:01:17,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2986
2022-11-23T02:04:40.0345257Z [2022-11-23 02:01:17,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0345801Z [2022-11-23 02:01:17,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.0346279Z [2022-11-23 02:01:17,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T02:04:40.0346795Z [2022-11-23 02:01:17,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T02:04:40.0347352Z [2022-11-23 02:01:17,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (36, 39, 40) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0347952Z [2022-11-23 02:01:17,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:40.0348499Z [2022-11-23 02:01:17,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0349115Z [2022-11-23 02:01:17,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:40.0349535Z [2022-11-23 02:01:17,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2987
2022-11-23T02:04:40.0349973Z [2022-11-23 02:01:17,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0350538Z [2022-11-23 02:01:17,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.0351116Z [2022-11-23 02:01:17,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T02:04:40.0351683Z [2022-11-23 02:01:17,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T02:04:40.0352296Z [2022-11-23 02:01:17,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T02:04:40.0352960Z [2022-11-23 02:01:17,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2.0, 2.0, 2.0) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T02:04:40.0353711Z [2022-11-23 02:01:17,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:40.0354369Z [2022-11-23 02:01:17,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T02:04:40.0354788Z [2022-11-23 02:01:17,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2982
2022-11-23T02:04:40.0355255Z [2022-11-23 02:01:17,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0355587Z [2022-11-23 02:01:17,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0356133Z [2022-11-23 02:01:17,584] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f88030, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2981>
2022-11-23T02:04:40.0356469Z [2022-11-23 02:01:17,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0356791Z [2022-11-23 02:01:17,584] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0357134Z [2022-11-23 02:01:17,587] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0357456Z [2022-11-23 02:01:17,594] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0357721Z [2022-11-23 02:01:17,595] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0357909Z  __compiled_fn_351 <eval_with_key>.2580 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0358052Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0358268Z call_function, upsample_nearest3d, aten.upsample_nearest3d, (ex_0_, [74, 76, 78], None), {}
2022-11-23T02:04:40.0358488Z call_function, upsample_nearest3d_1, aten.upsample_nearest3d, (ex_0_, [70, 75, 80], None), {}
2022-11-23T02:04:40.0358702Z call_function, upsample_nearest3d_2, aten.upsample_nearest3d, (ex_0_, [45, 74, 103], None), {}
2022-11-23T02:04:40.0358915Z call_function, upsample_nearest3d_3, aten.upsample_nearest3d, (ex_0_, [36, 39, 40], None), {}
2022-11-23T02:04:40.0359132Z call_function, upsample_nearest3d_4, aten.upsample_nearest3d, (ex_0_, None, [2.0, 2.0, 2.0]), {}
2022-11-23T02:04:40.0359407Z output, output, output, ((upsample_nearest3d, upsample_nearest3d_1, upsample_nearest3d_2, upsample_nearest3d_3, upsample_nearest3d_4),), {}
2022-11-23T02:04:40.0359434Z 
2022-11-23T02:04:40.0359875Z [2022-11-23 02:01:17,595] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0360090Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0360221Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0360354Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0360491Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0360620Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0360750Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0360844Z              12 RETURN_VALUE
2022-11-23T02:04:40.0360863Z 
2022-11-23T02:04:40.0360958Z  
2022-11-23T02:04:40.0361395Z [2022-11-23 02:01:17,595] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0361553Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_351)
2022-11-23T02:04:40.0361687Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0361824Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0361938Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0362068Z               8 CALL_FUNCTION            1
2022-11-23T02:04:40.0362261Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.0362415Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0362545Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0362659Z              16 BINARY_SUBSCR
2022-11-23T02:04:40.0362803Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0362934Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:40.0363046Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.0363173Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0363304Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:40.0363420Z              28 BINARY_SUBSCR
2022-11-23T02:04:40.0363568Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0363701Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:40.0363813Z              34 BINARY_SUBSCR
2022-11-23T02:04:40.0363959Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0364072Z              38 LOAD_CONST               5 (4)
2022-11-23T02:04:40.0364186Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.0364314Z              42 BUILD_TUPLE              5
2022-11-23T02:04:40.0364427Z              44 RETURN_VALUE
2022-11-23T02:04:40.0364448Z 
2022-11-23T02:04:40.0364543Z  
2022-11-23T02:04:40.0364810Z [2022-11-23 02:01:17,597] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0364920Z  - 
2022-11-23T02:04:40.0365071Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0365173Z             {
2022-11-23T02:04:40.0365369Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0365626Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:40.0365803Z                 'obj_weakref': None
2022-11-23T02:04:40.0366111Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0366209Z             }
2022-11-23T02:04:40.0366287Z             
2022-11-23T02:04:40.0366403Z  - 
2022-11-23T02:04:40.0366575Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0366672Z             {
2022-11-23T02:04:40.0366872Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0367028Z                 'code': None,
2022-11-23T02:04:40.0367315Z                 'obj_weakref': <weakref at 0x7fa531e87240; to 'Tensor' at 0x7fa550521800>
2022-11-23T02:04:40.0367639Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0367739Z             }
2022-11-23T02:04:40.0367832Z             
2022-11-23T02:04:40.0367949Z  - 
2022-11-23T02:04:40.0368132Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0368311Z             {
2022-11-23T02:04:40.0368507Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0368726Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.0368894Z                 'obj_weakref': None
2022-11-23T02:04:40.0369211Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0369309Z             }
2022-11-23T02:04:40.0369404Z             
2022-11-23T02:04:40.0369512Z  - 
2022-11-23T02:04:40.0369681Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0369760Z             {
2022-11-23T02:04:40.0369955Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0370245Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0370412Z                 'obj_weakref': None
2022-11-23T02:04:40.0370714Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0370814Z             }
2022-11-23T02:04:40.0370911Z             
2022-11-23T02:04:40.0370998Z  - 
2022-11-23T02:04:40.0371179Z             global 'aten' FUNCTION_MATCH
2022-11-23T02:04:40.0371275Z             {
2022-11-23T02:04:40.0371442Z                 'guard_types': None,
2022-11-23T02:04:40.0371661Z                 'code': None,
2022-11-23T02:04:40.0371834Z                 'obj_weakref': None
2022-11-23T02:04:40.0372001Z                 'guarded_class': None
2022-11-23T02:04:40.0372076Z             }
2022-11-23T02:04:40.0372169Z             
2022-11-23T02:04:40.0372521Z [2022-11-23 02:01:17,609] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 343
2022-11-23T02:04:40.0373018Z [2022-11-23 02:01:20,387] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yf/cyffvinv6wxsjwr2poz3yjv3d26nky5wo3qphkqwcepdvhmjl4ur.py
2022-11-23T02:04:40.0373379Z [2022-11-23 02:01:20,387] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 343
2022-11-23T02:04:40.0373405Z 
2022-11-23T02:04:40.0373541Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.0373646Z import torch
2022-11-23T02:04:40.0373753Z import random
2022-11-23T02:04:40.0373899Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.0374073Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.0374093Z 
2022-11-23T02:04:40.0374206Z aten = torch.ops.aten
2022-11-23T02:04:40.0374398Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.0374531Z async_compile = AsyncCompile()
2022-11-23T02:04:40.0374551Z 
2022-11-23T02:04:40.0374569Z 
2022-11-23T02:04:40.0374769Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.0375047Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.0375222Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.0375347Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:40.0375492Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:40.0375627Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:40.0375762Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:40.0375895Z                        float* __restrict__ out_ptr4)
2022-11-23T02:04:40.0375990Z {
2022-11-23T02:04:40.0376712Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.0376850Z     {
2022-11-23T02:04:40.0377035Z         #pragma omp for 
2022-11-23T02:04:40.0377227Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:40.0377380Z         {
2022-11-23T02:04:40.0377565Z             #pragma GCC ivdep
2022-11-23T02:04:40.0377768Z             for(long i1=0; i1<74; i1+=1)
2022-11-23T02:04:40.0377926Z             {
2022-11-23T02:04:40.0378094Z                 #pragma GCC ivdep
2022-11-23T02:04:40.0378295Z                 for(long i2=0; i2<76; i2+=1)
2022-11-23T02:04:40.0378428Z                 {
2022-11-23T02:04:40.0378554Z                     #pragma GCC ivdep
2022-11-23T02:04:40.0378858Z                     for(long i3=0; i3<78; i3+=1)
2022-11-23T02:04:40.0378959Z                     {
2022-11-23T02:04:40.0379042Z                         {
2022-11-23T02:04:40.0379147Z                             {
2022-11-23T02:04:40.0379312Z                                 auto tmp0 = static_cast<float>(i1);
2022-11-23T02:04:40.0379470Z                                 auto tmp1 = static_cast<float>(0.5);
2022-11-23T02:04:40.0379610Z                                 auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.0379771Z                                 auto tmp3 = static_cast<int>(tmp2);
2022-11-23T02:04:40.0379926Z                                 auto tmp4 = static_cast<float>(i2);
2022-11-23T02:04:40.0380066Z                                 auto tmp5 = tmp4 * tmp1;
2022-11-23T02:04:40.0380204Z                                 auto tmp6 = static_cast<int>(tmp5);
2022-11-23T02:04:40.0380361Z                                 auto tmp7 = static_cast<float>(i3);
2022-11-23T02:04:40.0380509Z                                 auto tmp8 = tmp7 * tmp1;
2022-11-23T02:04:40.0380667Z                                 auto tmp9 = static_cast<int>(tmp8);
2022-11-23T02:04:40.0380847Z                                 auto tmp10 = in_ptr0[tmp9 + (39*tmp6) + (1482*tmp3) + (54834*i0)];
2022-11-23T02:04:40.0381077Z                                 out_ptr0[i3 + (78*i2) + (5928*i1) + (438672*i0)] = tmp10;
2022-11-23T02:04:40.0381246Z                                 out_ptr1[i3 + (78*i2) + (5928*i1) + (438672*i0)] = tmp10;
2022-11-23T02:04:40.0381350Z                             }
2022-11-23T02:04:40.0381433Z                         }
2022-11-23T02:04:40.0381531Z                     }
2022-11-23T02:04:40.0381628Z                 }
2022-11-23T02:04:40.0381721Z             }
2022-11-23T02:04:40.0381817Z         }
2022-11-23T02:04:40.0381937Z         #pragma omp for 
2022-11-23T02:04:40.0382038Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:40.0382134Z         {
2022-11-23T02:04:40.0382253Z             #pragma GCC ivdep
2022-11-23T02:04:40.0382384Z             for(long i1=0; i1<70; i1+=1)
2022-11-23T02:04:40.0382476Z             {
2022-11-23T02:04:40.0382597Z                 #pragma GCC ivdep
2022-11-23T02:04:40.0382727Z                 for(long i2=0; i2<75; i2+=1)
2022-11-23T02:04:40.0382810Z                 {
2022-11-23T02:04:40.0382931Z                     #pragma GCC ivdep
2022-11-23T02:04:40.0383072Z                     for(long i3=0; i3<80; i3+=1)
2022-11-23T02:04:40.0383173Z                     {
2022-11-23T02:04:40.0383275Z                         {
2022-11-23T02:04:40.0383381Z                             {
2022-11-23T02:04:40.0383538Z                                 auto tmp0 = static_cast<float>(i1);
2022-11-23T02:04:40.0383687Z                                 auto tmp1 = static_cast<float>(0.5285714285714286);
2022-11-23T02:04:40.0383829Z                                 auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.0383984Z                                 auto tmp3 = static_cast<int>(tmp2);
2022-11-23T02:04:40.0384144Z                                 auto tmp4 = static_cast<float>(i2);
2022-11-23T02:04:40.0384307Z                                 auto tmp5 = static_cast<float>(0.5066666666666667);
2022-11-23T02:04:40.0384447Z                                 auto tmp6 = tmp4 * tmp5;
2022-11-23T02:04:40.0384611Z                                 auto tmp7 = static_cast<int>(tmp6);
2022-11-23T02:04:40.0384765Z                                 auto tmp8 = static_cast<float>(i3);
2022-11-23T02:04:40.0384907Z                                 auto tmp9 = static_cast<float>(0.4875);
2022-11-23T02:04:40.0385056Z                                 auto tmp10 = tmp8 * tmp9;
2022-11-23T02:04:40.0385220Z                                 auto tmp11 = static_cast<int>(tmp10);
2022-11-23T02:04:40.0385402Z                                 auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)];
2022-11-23T02:04:40.0385560Z                                 out_ptr2[i3 + (80*i2) + (6000*i1) + (420000*i0)] = tmp12;
2022-11-23T02:04:40.0385768Z                             }
2022-11-23T02:04:40.0385870Z                         }
2022-11-23T02:04:40.0385951Z                     }
2022-11-23T02:04:40.0386051Z                 }
2022-11-23T02:04:40.0386149Z             }
2022-11-23T02:04:40.0386245Z         }
2022-11-23T02:04:40.0386366Z         #pragma omp for 
2022-11-23T02:04:40.0386487Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:40.0386581Z         {
2022-11-23T02:04:40.0386679Z             #pragma GCC ivdep
2022-11-23T02:04:40.0386802Z             for(long i1=0; i1<45; i1+=1)
2022-11-23T02:04:40.0386896Z             {
2022-11-23T02:04:40.0387017Z                 #pragma GCC ivdep
2022-11-23T02:04:40.0387148Z                 for(long i2=0; i2<74; i2+=1)
2022-11-23T02:04:40.0387246Z                 {
2022-11-23T02:04:40.0387365Z                     #pragma GCC ivdep
2022-11-23T02:04:40.0387478Z                     for(long i3=0; i3<103; i3+=1)
2022-11-23T02:04:40.0387581Z                     {
2022-11-23T02:04:40.0387687Z                         {
2022-11-23T02:04:40.0387793Z                             {
2022-11-23T02:04:40.0388016Z                                 auto tmp0 = static_cast<float>(i1);
2022-11-23T02:04:40.0388186Z                                 auto tmp1 = static_cast<float>(0.8222222222222222);
2022-11-23T02:04:40.0388385Z                                 auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.0388530Z                                 auto tmp3 = static_cast<int>(tmp2);
2022-11-23T02:04:40.0388685Z                                 auto tmp4 = static_cast<float>(i2);
2022-11-23T02:04:40.0388853Z                                 auto tmp5 = static_cast<float>(0.5135135135135135);
2022-11-23T02:04:40.0388996Z                                 auto tmp6 = tmp4 * tmp5;
2022-11-23T02:04:40.0389154Z                                 auto tmp7 = static_cast<int>(tmp6);
2022-11-23T02:04:40.0389309Z                                 auto tmp8 = static_cast<float>(i3);
2022-11-23T02:04:40.0389477Z                                 auto tmp9 = static_cast<float>(0.3786407766990291);
2022-11-23T02:04:40.0389627Z                                 auto tmp10 = tmp8 * tmp9;
2022-11-23T02:04:40.0389772Z                                 auto tmp11 = static_cast<int>(tmp10);
2022-11-23T02:04:40.0389958Z                                 auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)];
2022-11-23T02:04:40.0390123Z                                 out_ptr3[i3 + (103*i2) + (7622*i1) + (342990*i0)] = tmp12;
2022-11-23T02:04:40.0390232Z                             }
2022-11-23T02:04:40.0390335Z                         }
2022-11-23T02:04:40.0390438Z                     }
2022-11-23T02:04:40.0390537Z                 }
2022-11-23T02:04:40.0390613Z             }
2022-11-23T02:04:40.0390710Z         }
2022-11-23T02:04:40.0390827Z         #pragma omp for 
2022-11-23T02:04:40.0390947Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:40.0391041Z         {
2022-11-23T02:04:40.0391159Z             #pragma GCC ivdep
2022-11-23T02:04:40.0391289Z             for(long i1=0; i1<36; i1+=1)
2022-11-23T02:04:40.0391366Z             {
2022-11-23T02:04:40.0391485Z                 #pragma GCC ivdep
2022-11-23T02:04:40.0391618Z                 for(long i2=0; i2<39; i2+=1)
2022-11-23T02:04:40.0391718Z                 {
2022-11-23T02:04:40.0391843Z                     #pragma GCC ivdep
2022-11-23T02:04:40.0391973Z                     for(long i3=0; i3<40; i3+=1)
2022-11-23T02:04:40.0392071Z                     {
2022-11-23T02:04:40.0392155Z                         {
2022-11-23T02:04:40.0392262Z                             {
2022-11-23T02:04:40.0392422Z                                 auto tmp0 = static_cast<float>(i1);
2022-11-23T02:04:40.0392587Z                                 auto tmp1 = static_cast<float>(1.0277777777777777);
2022-11-23T02:04:40.0392731Z                                 auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.0392889Z                                 auto tmp3 = static_cast<int>(tmp2);
2022-11-23T02:04:40.0393043Z                                 auto tmp4 = static_cast<float>(i2);
2022-11-23T02:04:40.0393251Z                                 auto tmp5 = static_cast<float>(0.9743589743589743);
2022-11-23T02:04:40.0393394Z                                 auto tmp6 = tmp4 * tmp5;
2022-11-23T02:04:40.0393556Z                                 auto tmp7 = static_cast<int>(tmp6);
2022-11-23T02:04:40.0393711Z                                 auto tmp8 = static_cast<float>(i3);
2022-11-23T02:04:40.0393870Z                                 auto tmp9 = static_cast<float>(0.975);
2022-11-23T02:04:40.0394012Z                                 auto tmp10 = tmp8 * tmp9;
2022-11-23T02:04:40.0394174Z                                 auto tmp11 = static_cast<int>(tmp10);
2022-11-23T02:04:40.0394358Z                                 auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)];
2022-11-23T02:04:40.0394501Z                                 out_ptr4[i3 + (40*i2) + (1560*i1) + (56160*i0)] = tmp12;
2022-11-23T02:04:40.0394607Z                             }
2022-11-23T02:04:40.0394716Z                         }
2022-11-23T02:04:40.0394819Z                     }
2022-11-23T02:04:40.0394916Z                 }
2022-11-23T02:04:40.0395014Z             }
2022-11-23T02:04:40.0395109Z         }
2022-11-23T02:04:40.0395185Z     }
2022-11-23T02:04:40.0395336Z }
2022-11-23T02:04:40.0395527Z ''')
2022-11-23T02:04:40.0395553Z 
2022-11-23T02:04:40.0395571Z 
2022-11-23T02:04:40.0395709Z async_compile.wait(globals())
2022-11-23T02:04:40.0395819Z del async_compile
2022-11-23T02:04:40.0395838Z 
2022-11-23T02:04:40.0395947Z def call(args):
2022-11-23T02:04:40.0396055Z     arg0_1, = args
2022-11-23T02:04:40.0396143Z     args.clear()
2022-11-23T02:04:40.0396487Z     buf0 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0396805Z     buf4 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0397119Z     buf1 = empty_strided((2, 4, 70, 75, 80), (1680000, 420000, 6000, 80, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0397444Z     buf2 = empty_strided((2, 4, 45, 74, 103), (1371960, 342990, 7622, 103, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0397759Z     buf3 = empty_strided((2, 4, 36, 39, 40), (224640, 56160, 1560, 40, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0398081Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T02:04:40.0398185Z     del arg0_1
2022-11-23T02:04:40.0398306Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T02:04:40.0398344Z 
2022-11-23T02:04:40.0398362Z 
2022-11-23T02:04:40.0398457Z if __name__ == "__main__":
2022-11-23T02:04:40.0398618Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.0398793Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.0399113Z     arg0_1 = rand_strided((2, 4, 37, 38, 39), (219336, 54834, 1482, 39, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0399268Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:40.0399289Z 
2022-11-23T02:04:40.0399391Z ok (3.044s)
2022-11-23T02:04:40.0399811Z   test_var_mean_cpu (__main__.CpuTests) ... [2022-11-23 02:01:20,563] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.0400237Z [2022-11-23 02:01:20,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.0400514Z [2022-11-23 02:01:20,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.0400855Z [2022-11-23 02:01:20,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.0401232Z [2022-11-23 02:01:20,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.0401737Z [2022-11-23 02:01:20,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0402202Z [2022-11-23 02:01:20,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0402638Z [2022-11-23 02:01:20,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0403143Z [2022-11-23 02:01:20,565] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640fbb050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2191> 
2022-11-23T02:04:40.0403279Z  2192           0 BUILD_LIST               0
2022-11-23T02:04:40.0403300Z 
2022-11-23T02:04:40.0403438Z 2193           2 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:40.0403582Z                4 LOAD_METHOD              1 (var_mean)
2022-11-23T02:04:40.0403700Z                6 LOAD_FAST                0 (x)
2022-11-23T02:04:40.0403905Z                8 LOAD_CONST               1 (-1)
2022-11-23T02:04:40.0404035Z               10 CALL_METHOD              2
2022-11-23T02:04:40.0404056Z 
2022-11-23T02:04:40.0404239Z 2192          12 LIST_EXTEND              1
2022-11-23T02:04:40.0404260Z 
2022-11-23T02:04:40.0404398Z 2194          14 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:40.0404537Z               16 LOAD_METHOD              1 (var_mean)
2022-11-23T02:04:40.0404674Z               18 LOAD_FAST                0 (x)
2022-11-23T02:04:40.0404805Z               20 LOAD_CONST               2 (1)
2022-11-23T02:04:40.0404915Z               22 LOAD_CONST               3 (3)
2022-11-23T02:04:40.0405044Z               24 BUILD_LIST               2
2022-11-23T02:04:40.0405179Z               26 CALL_METHOD              2
2022-11-23T02:04:40.0405198Z 
2022-11-23T02:04:40.0405321Z 2192          28 LIST_EXTEND              1
2022-11-23T02:04:40.0405442Z               30 LIST_TO_TUPLE
2022-11-23T02:04:40.0405555Z               32 RETURN_VALUE
2022-11-23T02:04:40.0405647Z  
2022-11-23T02:04:40.0405666Z 
2022-11-23T02:04:40.0406108Z [2022-11-23 02:01:20,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192
2022-11-23T02:04:40.0406383Z [2022-11-23 02:01:20,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T02:04:40.0406799Z [2022-11-23 02:01:20,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2193
2022-11-23T02:04:40.0407127Z [2022-11-23 02:01:20,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListVariable()]
2022-11-23T02:04:40.0407652Z [2022-11-23 02:01:20,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var_mean [ListVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:40.0408119Z [2022-11-23 02:01:20,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:40.0408636Z [2022-11-23 02:01:20,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:40.0409199Z [2022-11-23 02:01:20,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0409626Z [2022-11-23 02:01:20,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192
2022-11-23T02:04:40.0409983Z [2022-11-23 02:01:20,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [ListVariable(), TupleVariable()]
2022-11-23T02:04:40.0410473Z [2022-11-23 02:01:20,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2194
2022-11-23T02:04:40.0410807Z [2022-11-23 02:01:20,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListVariable()]
2022-11-23T02:04:40.0411311Z [2022-11-23 02:01:20,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var_mean [ListVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:40.0411781Z [2022-11-23 02:01:20,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:40.0412284Z [2022-11-23 02:01:20,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:40.0412844Z [2022-11-23 02:01:20,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0413502Z [2022-11-23 02:01:20,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:40.0414118Z [2022-11-23 02:01:20,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7fa5855aec60>), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.0414542Z [2022-11-23 02:01:20,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192
2022-11-23T02:04:40.0414897Z [2022-11-23 02:01:20,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [ListVariable(), TupleVariable()]
2022-11-23T02:04:40.0415230Z [2022-11-23 02:01:20,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [ListVariable()]
2022-11-23T02:04:40.0415561Z [2022-11-23 02:01:20,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0416598Z [2022-11-23 02:01:20,575] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640fbb050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2191>
2022-11-23T02:04:40.0417226Z [2022-11-23 02:01:20,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0417782Z [2022-11-23 02:01:20,575] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0418233Z [2022-11-23 02:01:20,577] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0418576Z [2022-11-23 02:01:20,584] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0418840Z [2022-11-23 02:01:20,585] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0419031Z  __compiled_fn_352 <eval_with_key>.2586 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0419165Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0419494Z call_function, var_mean, <built-in method var_mean of type object at 0x7fa5855aec60>, (ex_0_, -1), {}
2022-11-23T02:04:40.0419757Z call_function, getitem, <built-in function getitem>, (var_mean, 0), {}
2022-11-23T02:04:40.0420021Z call_function, getitem_1, <built-in function getitem>, (var_mean, 1), {}
2022-11-23T02:04:40.0420334Z call_function, var_mean_1, <built-in method var_mean of type object at 0x7fa5855aec60>, (ex_0_, [1, 3]), {}
2022-11-23T02:04:40.0420598Z call_function, getitem_2, <built-in function getitem>, (var_mean_1, 0), {}
2022-11-23T02:04:40.0420859Z call_function, getitem_3, <built-in function getitem>, (var_mean_1, 1), {}
2022-11-23T02:04:40.0421048Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T02:04:40.0421222Z 
2022-11-23T02:04:40.0421669Z [2022-11-23 02:01:20,586] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0421811Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0421945Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0422073Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0422187Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0422312Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0422442Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0422553Z              12 RETURN_VALUE
2022-11-23T02:04:40.0422574Z 
2022-11-23T02:04:40.0422670Z  
2022-11-23T02:04:40.0423099Z [2022-11-23 02:01:20,586] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0423258Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_352)
2022-11-23T02:04:40.0423388Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0423498Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0423685Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0423820Z               8 CALL_FUNCTION            1
2022-11-23T02:04:40.0423968Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.0424113Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0424238Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0424350Z              16 BINARY_SUBSCR
2022-11-23T02:04:40.0424476Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0424604Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:40.0424716Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.0424858Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0424994Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:40.0425101Z              28 BINARY_SUBSCR
2022-11-23T02:04:40.0425244Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0425353Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:40.0425471Z              34 BINARY_SUBSCR
2022-11-23T02:04:40.0425601Z              36 BUILD_TUPLE              4
2022-11-23T02:04:40.0425709Z              38 RETURN_VALUE
2022-11-23T02:04:40.0425728Z 
2022-11-23T02:04:40.0425820Z  
2022-11-23T02:04:40.0426078Z [2022-11-23 02:01:20,587] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0426187Z  - 
2022-11-23T02:04:40.0426336Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0426435Z             {
2022-11-23T02:04:40.0426631Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0426886Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:40.0427051Z                 'obj_weakref': None
2022-11-23T02:04:40.0427362Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0427460Z             }
2022-11-23T02:04:40.0427555Z             
2022-11-23T02:04:40.0427642Z  - 
2022-11-23T02:04:40.0427826Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0427919Z             {
2022-11-23T02:04:40.0428118Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0428271Z                 'code': None,
2022-11-23T02:04:40.0428562Z                 'obj_weakref': <weakref at 0x7fa531fc01d0; to 'Tensor' at 0x7fa5501472e0>
2022-11-23T02:04:40.0428903Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0428981Z             }
2022-11-23T02:04:40.0429074Z             
2022-11-23T02:04:40.0429180Z  - 
2022-11-23T02:04:40.0429363Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0429459Z             {
2022-11-23T02:04:40.0429709Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0429924Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.0430090Z                 'obj_weakref': None
2022-11-23T02:04:40.0430400Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0430496Z             }
2022-11-23T02:04:40.0430591Z             
2022-11-23T02:04:40.0430695Z  - 
2022-11-23T02:04:40.0430866Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0430943Z             {
2022-11-23T02:04:40.0431136Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0431428Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0431594Z                 'obj_weakref': None
2022-11-23T02:04:40.0431891Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0431986Z             }
2022-11-23T02:04:40.0432084Z             
2022-11-23T02:04:40.0432171Z  - 
2022-11-23T02:04:40.0432359Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:40.0432451Z             {
2022-11-23T02:04:40.0432618Z                 'guard_types': None,
2022-11-23T02:04:40.0432826Z                 'code': None,
2022-11-23T02:04:40.0433001Z                 'obj_weakref': None
2022-11-23T02:04:40.0433170Z                 'guarded_class': None
2022-11-23T02:04:40.0433246Z             }
2022-11-23T02:04:40.0433341Z             
2022-11-23T02:04:40.0433695Z [2022-11-23 02:01:20,600] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 344
2022-11-23T02:04:40.0433716Z 
2022-11-23T02:04:40.0433851Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.0433953Z import torch
2022-11-23T02:04:40.0434058Z import random
2022-11-23T02:04:40.0434221Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.0434374Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.0434416Z 
2022-11-23T02:04:40.0434514Z aten = torch.ops.aten
2022-11-23T02:04:40.0434702Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.0434835Z async_compile = AsyncCompile()
2022-11-23T02:04:40.0434854Z 
2022-11-23T02:04:40.0434873Z 
2022-11-23T02:04:40.0435130Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.0435474Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.0435636Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T02:04:40.0435781Z                        float* __restrict__ in_out_ptr1,
2022-11-23T02:04:40.0435924Z                        float* __restrict__ in_out_ptr2,
2022-11-23T02:04:40.0436050Z                        float* __restrict__ in_out_ptr3,
2022-11-23T02:04:40.0436194Z                        const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.0436336Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:40.0436474Z                        float* __restrict__ out_ptr3)
2022-11-23T02:04:40.0436571Z {
2022-11-23T02:04:40.0436699Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T02:04:40.0436823Z     auto out_ptr2 = in_out_ptr1;
2022-11-23T02:04:40.0436927Z     auto out_ptr4 = in_out_ptr2;
2022-11-23T02:04:40.0437050Z     auto out_ptr5 = in_out_ptr3;
2022-11-23T02:04:40.0437194Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.0437287Z     {
2022-11-23T02:04:40.0437398Z         #pragma omp for 
2022-11-23T02:04:40.0437521Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:40.0437597Z         {
2022-11-23T02:04:40.0437691Z             {
2022-11-23T02:04:40.0437994Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:40.0438108Z                 float tmp1 = 0;
2022-11-23T02:04:40.0438280Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T02:04:40.0438410Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:40.0438570Z                 {
2022-11-23T02:04:40.0438773Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:40.0438874Z                     tmp1_vec += tmp0;
2022-11-23T02:04:40.0438974Z                 }
2022-11-23T02:04:40.0439248Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T02:04:40.0439419Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T02:04:40.0439550Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:40.0439646Z                 {
2022-11-23T02:04:40.0439786Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:40.0439901Z                     tmp1 += tmp0;
2022-11-23T02:04:40.0439982Z                 }
2022-11-23T02:04:40.0440100Z                 out_ptr0[i0] = tmp1;
2022-11-23T02:04:40.0440197Z             }
2022-11-23T02:04:40.0440292Z         }
2022-11-23T02:04:40.0440422Z         #pragma omp for 
2022-11-23T02:04:40.0440528Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T02:04:40.0440622Z         {
2022-11-23T02:04:40.0440721Z             {
2022-11-23T02:04:40.0441018Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:40.0441149Z                 float tmp6 = 0;
2022-11-23T02:04:40.0441323Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T02:04:40.0441444Z                 float tmp7 = 0;
2022-11-23T02:04:40.0441611Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T02:04:40.0441740Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:40.0441820Z                 {
2022-11-23T02:04:40.0442024Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T02:04:40.0442203Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T02:04:40.0442395Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T02:04:40.0442532Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:40.0442750Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:40.0442885Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T02:04:40.0443008Z                     tmp6_vec += tmp5;
2022-11-23T02:04:40.0443107Z                     tmp7_vec += tmp0;
2022-11-23T02:04:40.0443205Z                 }
2022-11-23T02:04:40.0443482Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T02:04:40.0443748Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T02:04:40.0443950Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2022-11-23T02:04:40.0444081Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T02:04:40.0444182Z                 {
2022-11-23T02:04:40.0444327Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T02:04:40.0444439Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T02:04:40.0444589Z                     auto tmp2 = static_cast<float>(8);
2022-11-23T02:04:40.0444724Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:40.0444925Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:40.0445055Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T02:04:40.0445169Z                     tmp6 += tmp5;
2022-11-23T02:04:40.0445283Z                     tmp7 += tmp0;
2022-11-23T02:04:40.0445361Z                 }
2022-11-23T02:04:40.0445482Z                 out_ptr1[i0] = tmp6;
2022-11-23T02:04:40.0445605Z                 out_ptr2[i0] = tmp7;
2022-11-23T02:04:40.0445703Z             }
2022-11-23T02:04:40.0445799Z         }
2022-11-23T02:04:40.0445917Z         #pragma omp for 
2022-11-23T02:04:40.0446038Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:40.0446113Z         {
2022-11-23T02:04:40.0446319Z             {
2022-11-23T02:04:40.0446594Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:40.0446713Z                 float tmp1 = 0;
2022-11-23T02:04:40.0446889Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T02:04:40.0447025Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T02:04:40.0447123Z                 {
2022-11-23T02:04:40.0447236Z                     for(long i2=0; i2<1; i2+=1)
2022-11-23T02:04:40.0447338Z                     {
2022-11-23T02:04:40.0447549Z                         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i2) + (32*i1));
2022-11-23T02:04:40.0447677Z                         tmp1_vec += tmp0;
2022-11-23T02:04:40.0447776Z                     }
2022-11-23T02:04:40.0448045Z                     tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T02:04:40.0448223Z                     #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T02:04:40.0448353Z                     for(long i2=8; i2<8; i2+=1)
2022-11-23T02:04:40.0448435Z                     {
2022-11-23T02:04:40.0448643Z                         auto tmp0 = in_ptr0[i2 + (8*i0) + (32*i1)];
2022-11-23T02:04:40.0448766Z                         tmp1 += tmp0;
2022-11-23T02:04:40.0448865Z                     }
2022-11-23T02:04:40.0448962Z                 }
2022-11-23T02:04:40.0449085Z                 out_ptr3[i0] = tmp1;
2022-11-23T02:04:40.0449182Z             }
2022-11-23T02:04:40.0449258Z         }
2022-11-23T02:04:40.0449395Z         #pragma omp for 
2022-11-23T02:04:40.0449496Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:40.0449607Z         {
2022-11-23T02:04:40.0449682Z             {
2022-11-23T02:04:40.0449966Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T02:04:40.0450060Z                 float tmp6 = 0;
2022-11-23T02:04:40.0450217Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T02:04:40.0450331Z                 float tmp7 = 0;
2022-11-23T02:04:40.0450512Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T02:04:40.0450637Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T02:04:40.0450756Z                 {
2022-11-23T02:04:40.0450870Z                     for(long i2=0; i2<1; i2+=1)
2022-11-23T02:04:40.0450973Z                     {
2022-11-23T02:04:40.0451187Z                         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i2) + (32*i1));
2022-11-23T02:04:40.0451352Z                         auto tmp1 = at::vec::Vectorized<float>(out_ptr3[i0]);
2022-11-23T02:04:40.0451551Z                         auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(16));
2022-11-23T02:04:40.0451692Z                         auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:40.0451912Z                         auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:40.0452052Z                         auto tmp5 = tmp4.pow(2);
2022-11-23T02:04:40.0452178Z                         tmp6_vec += tmp5;
2022-11-23T02:04:40.0452301Z                         tmp7_vec += tmp0;
2022-11-23T02:04:40.0452402Z                     }
2022-11-23T02:04:40.0452661Z                     tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T02:04:40.0452923Z                     tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T02:04:40.0453125Z                     #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2022-11-23T02:04:40.0453256Z                     for(long i2=8; i2<8; i2+=1)
2022-11-23T02:04:40.0453353Z                     {
2022-11-23T02:04:40.0453504Z                         auto tmp0 = in_ptr0[i2 + (8*i0) + (32*i1)];
2022-11-23T02:04:40.0453707Z                         auto tmp1 = out_ptr3[i0];
2022-11-23T02:04:40.0453863Z                         auto tmp2 = static_cast<float>(16);
2022-11-23T02:04:40.0453979Z                         auto tmp3 = tmp1 / tmp2;
2022-11-23T02:04:40.0454180Z                         auto tmp4 = tmp0 - tmp3;
2022-11-23T02:04:40.0454320Z                         auto tmp5 = tmp4 * tmp4;
2022-11-23T02:04:40.0454436Z                         tmp6 += tmp5;
2022-11-23T02:04:40.0454551Z                         tmp7 += tmp0;
2022-11-23T02:04:40.0454649Z                     }
2022-11-23T02:04:40.0454746Z                 }
2022-11-23T02:04:40.0454846Z                 out_ptr4[i0] = tmp6;
2022-11-23T02:04:40.0454962Z                 out_ptr5[i0] = tmp7;
2022-11-23T02:04:40.0455059Z             }
2022-11-23T02:04:40.0455158Z         }
2022-11-23T02:04:40.0455275Z         #pragma omp for 
2022-11-23T02:04:40.0455392Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:40.0455488Z         {
2022-11-23T02:04:40.0455660Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T02:04:40.0455850Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(7));
2022-11-23T02:04:40.0455973Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:40.0456579Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T02:04:40.0456952Z         }
2022-11-23T02:04:40.0457202Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.0457393Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T02:04:40.0457518Z         {
2022-11-23T02:04:40.0457719Z             auto tmp0 = out_ptr1[i0];
2022-11-23T02:04:40.0457953Z             auto tmp1 = static_cast<float>(7);
2022-11-23T02:04:40.0458148Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:40.0458295Z             in_out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.0458390Z         }
2022-11-23T02:04:40.0458505Z         #pragma omp for 
2022-11-23T02:04:40.0458604Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:40.0458699Z         {
2022-11-23T02:04:40.0458898Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + 8*i0);
2022-11-23T02:04:40.0459087Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T02:04:40.0459211Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:40.0459355Z             tmp2.store(in_out_ptr1 + 8*i0);
2022-11-23T02:04:40.0459448Z         }
2022-11-23T02:04:40.0459566Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.0459687Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T02:04:40.0459782Z         {
2022-11-23T02:04:40.0459906Z             auto tmp0 = out_ptr2[i0];
2022-11-23T02:04:40.0460047Z             auto tmp1 = static_cast<float>(8);
2022-11-23T02:04:40.0460169Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:40.0460290Z             in_out_ptr1[i0] = tmp2;
2022-11-23T02:04:40.0460364Z         }
2022-11-23T02:04:40.0460482Z         #pragma omp single
2022-11-23T02:04:40.0460578Z         {
2022-11-23T02:04:40.0460695Z             #pragma GCC ivdep
2022-11-23T02:04:40.0460816Z             for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:40.0460918Z             {
2022-11-23T02:04:40.0461016Z                 {
2022-11-23T02:04:40.0461097Z                     {
2022-11-23T02:04:40.0461238Z                         auto tmp0 = out_ptr4[i0];
2022-11-23T02:04:40.0461390Z                         auto tmp1 = static_cast<float>(15);
2022-11-23T02:04:40.0461526Z                         auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:40.0461662Z                         in_out_ptr2[i0] = tmp2;
2022-11-23T02:04:40.0461764Z                     }
2022-11-23T02:04:40.0461862Z                 }
2022-11-23T02:04:40.0461939Z             }
2022-11-23T02:04:40.0462032Z         }
2022-11-23T02:04:40.0462150Z         #pragma omp single
2022-11-23T02:04:40.0462245Z         {
2022-11-23T02:04:40.0462363Z             #pragma GCC ivdep
2022-11-23T02:04:40.0462481Z             for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:40.0462557Z             {
2022-11-23T02:04:40.0462656Z                 {
2022-11-23T02:04:40.0462751Z                     {
2022-11-23T02:04:40.0462991Z                         auto tmp0 = out_ptr5[i0];
2022-11-23T02:04:40.0463143Z                         auto tmp1 = static_cast<float>(16);
2022-11-23T02:04:40.0463277Z                         auto tmp2 = tmp0 / tmp1;
2022-11-23T02:04:40.0463416Z                         in_out_ptr3[i0] = tmp2;
2022-11-23T02:04:40.0463497Z                     }
2022-11-23T02:04:40.0463594Z                 }
2022-11-23T02:04:40.0463690Z             }
2022-11-23T02:04:40.0463785Z         }
2022-11-23T02:04:40.0463880Z     }
2022-11-23T02:04:40.0463971Z }
2022-11-23T02:04:40.0464118Z ''')
2022-11-23T02:04:40.0464144Z 
2022-11-23T02:04:40.0464162Z 
2022-11-23T02:04:40.0464276Z async_compile.wait(globals())
2022-11-23T02:04:40.0464386Z del async_compile
2022-11-23T02:04:40.0464405Z 
2022-11-23T02:04:40.0464510Z def call(args):
2022-11-23T02:04:40.0464615Z     arg0_1, = args
2022-11-23T02:04:40.0464722Z     args.clear()
2022-11-23T02:04:40.0465018Z     buf0 = empty_strided((1, 2, 4, 1), (8, 4, 1, 8), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0465300Z     buf1 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0465574Z     buf2 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0465886Z     buf3 = empty_strided((1, 1, 4, 1), (4, 4, 1, 4), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0466156Z     buf4 = empty_strided((1, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0466420Z     buf5 = empty_strided((1, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0466546Z     buf6 = buf1; del buf1  # reuse
2022-11-23T02:04:40.0466666Z     buf7 = buf2; del buf2  # reuse
2022-11-23T02:04:40.0466786Z     buf8 = buf4; del buf4  # reuse
2022-11-23T02:04:40.0466907Z     buf9 = buf5; del buf5  # reuse
2022-11-23T02:04:40.0467239Z     kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T02:04:40.0467348Z     del arg0_1
2022-11-23T02:04:40.0467475Z     return (buf6, buf7, buf8, buf9, )
2022-11-23T02:04:40.0467496Z 
2022-11-23T02:04:40.0467514Z 
2022-11-23T02:04:40.0467627Z if __name__ == "__main__":
2022-11-23T02:04:40.0467790Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.0467966Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.0468257Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0468409Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:40.0468885Z [2022-11-23 02:01:23,397] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/b3/cb3o54xe2u5qgo35hbjddtjixyxb6wdtrtiasu2beqvpqvizzbeq.py
2022-11-23T02:04:40.0469246Z [2022-11-23 02:01:23,397] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 344
2022-11-23T02:04:40.0469266Z 
2022-11-23T02:04:40.0469375Z ok (2.852s)
2022-11-23T02:04:40.0469786Z   test_vdd_clamp_cpu (__main__.CpuTests) ... [2022-11-23 02:01:23,417] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.0470207Z [2022-11-23 02:01:23,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.0470505Z [2022-11-23 02:01:23,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.0470845Z [2022-11-23 02:01:23,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.0471220Z [2022-11-23 02:01:23,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.0471651Z [2022-11-23 02:01:23,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0472112Z [2022-11-23 02:01:23,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0472612Z [2022-11-23 02:01:23,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0473100Z [2022-11-23 02:01:23,418] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f7bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4371> 
2022-11-23T02:04:40.0473247Z  4372           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:40.0473389Z                2 LOAD_METHOD              1 (clamp_min)
2022-11-23T02:04:40.0473523Z                4 LOAD_FAST                0 (x)
2022-11-23T02:04:40.0473652Z                6 LOAD_CONST               1 (3)
2022-11-23T02:04:40.0473784Z                8 CALL_METHOD              2
2022-11-23T02:04:40.0473896Z               10 RETURN_VALUE
2022-11-23T02:04:40.0473973Z  
2022-11-23T02:04:40.0474012Z 
2022-11-23T02:04:40.0474413Z [2022-11-23 02:01:23,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4372
2022-11-23T02:04:40.0474760Z [2022-11-23 02:01:23,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:40.0475262Z [2022-11-23 02:01:23,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp_min [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:40.0475699Z [2022-11-23 02:01:23,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method clamp_min of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:40.0476177Z [2022-11-23 02:01:23,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method clamp_min of type object at 0x7fa5855aec60>), TensorVariable()]
2022-11-23T02:04:40.0476703Z [2022-11-23 02:01:23,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method clamp_min of type object at 0x7fa5855aec60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0477041Z [2022-11-23 02:01:23,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:40.0477541Z [2022-11-23 02:01:23,422] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f7bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4371>
2022-11-23T02:04:40.0477872Z [2022-11-23 02:01:23,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:40.0478191Z [2022-11-23 02:01:23,423] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0478533Z [2022-11-23 02:01:23,424] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0478854Z [2022-11-23 02:01:23,430] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0479122Z [2022-11-23 02:01:23,431] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0479312Z  __compiled_fn_353 <eval_with_key>.2592 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0479446Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0479779Z call_function, clamp_min, <built-in method clamp_min of type object at 0x7fa5855aec60>, (ex_0_, 3), {}
2022-11-23T02:04:40.0479934Z output, output, output, ((clamp_min,),), {}
2022-11-23T02:04:40.0479954Z 
2022-11-23T02:04:40.0480387Z [2022-11-23 02:01:23,432] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0480526Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0480640Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0480769Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0481054Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0481180Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0481310Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0481423Z              12 RETURN_VALUE
2022-11-23T02:04:40.0481443Z 
2022-11-23T02:04:40.0481544Z  
2022-11-23T02:04:40.0481980Z [2022-11-23 02:01:23,432] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0482117Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_353)
2022-11-23T02:04:40.0482251Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0482384Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0482499Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0482628Z               8 CALL_FUNCTION            1
2022-11-23T02:04:40.0482760Z              10 UNPACK_SEQUENCE          1
2022-11-23T02:04:40.0482873Z              12 RETURN_VALUE
2022-11-23T02:04:40.0482897Z 
2022-11-23T02:04:40.0482969Z  
2022-11-23T02:04:40.0483223Z [2022-11-23 02:01:23,433] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0483332Z  - 
2022-11-23T02:04:40.0483500Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0483598Z             {
2022-11-23T02:04:40.0483852Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0484116Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:40.0484267Z                 'obj_weakref': None
2022-11-23T02:04:40.0484573Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0484672Z             }
2022-11-23T02:04:40.0484769Z             
2022-11-23T02:04:40.0484876Z  - 
2022-11-23T02:04:40.0485059Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0485159Z             {
2022-11-23T02:04:40.0485340Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0485496Z                 'code': None,
2022-11-23T02:04:40.0485791Z                 'obj_weakref': <weakref at 0x7fa51c3bf240; to 'Tensor' at 0x7fa62380d7b0>
2022-11-23T02:04:40.0486132Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0486234Z             }
2022-11-23T02:04:40.0486331Z             
2022-11-23T02:04:40.0486440Z  - 
2022-11-23T02:04:40.0486605Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0486702Z             {
2022-11-23T02:04:40.0486891Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0487127Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.0487294Z                 'obj_weakref': None
2022-11-23T02:04:40.0487603Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0487700Z             }
2022-11-23T02:04:40.0487776Z             
2022-11-23T02:04:40.0487883Z  - 
2022-11-23T02:04:40.0488135Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0488238Z             {
2022-11-23T02:04:40.0488426Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0488714Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0488885Z                 'obj_weakref': None
2022-11-23T02:04:40.0489170Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0489264Z             }
2022-11-23T02:04:40.0489359Z             
2022-11-23T02:04:40.0489466Z  - 
2022-11-23T02:04:40.0489653Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:40.0489749Z             {
2022-11-23T02:04:40.0489918Z                 'guard_types': None,
2022-11-23T02:04:40.0490051Z                 'code': None,
2022-11-23T02:04:40.0490222Z                 'obj_weakref': None
2022-11-23T02:04:40.0490393Z                 'guarded_class': None
2022-11-23T02:04:40.0490488Z             }
2022-11-23T02:04:40.0490654Z             
2022-11-23T02:04:40.0491014Z [2022-11-23 02:01:23,463] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 345
2022-11-23T02:04:40.0491529Z [2022-11-23 02:01:26,097] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mo/cmoplqhghle7ttgceawpnbeepm3drvaciiul3uqtodxoud6hyaqw.py
2022-11-23T02:04:40.0491869Z [2022-11-23 02:01:26,098] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 345
2022-11-23T02:04:40.0491913Z 
2022-11-23T02:04:40.0492031Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.0492135Z import torch
2022-11-23T02:04:40.0492242Z import random
2022-11-23T02:04:40.0492405Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.0492576Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.0492595Z 
2022-11-23T02:04:40.0492711Z aten = torch.ops.aten
2022-11-23T02:04:40.0492897Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.0493017Z async_compile = AsyncCompile()
2022-11-23T02:04:40.0493036Z 
2022-11-23T02:04:40.0493074Z 
2022-11-23T02:04:40.0493247Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.0493526Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.0493752Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.0493904Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:40.0494042Z                        bool* __restrict__ out_ptr1)
2022-11-23T02:04:40.0494135Z {
2022-11-23T02:04:40.0494280Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.0494355Z     {
2022-11-23T02:04:40.0494470Z         #pragma omp for 
2022-11-23T02:04:40.0494673Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T02:04:40.0494767Z         {
2022-11-23T02:04:40.0494864Z             {
2022-11-23T02:04:40.0494961Z                 {
2022-11-23T02:04:40.0495076Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.0495234Z                     auto tmp1 = static_cast<float>(3.0);
2022-11-23T02:04:40.0495403Z                     auto tmp2 = std::max(tmp0, tmp1);
2022-11-23T02:04:40.0495550Z                     auto tmp3 = static_cast<float>(3);
2022-11-23T02:04:40.0495687Z                     auto tmp4 = tmp0 >= tmp3;
2022-11-23T02:04:40.0495812Z                     out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.0495935Z                     out_ptr1[i0] = tmp4;
2022-11-23T02:04:40.0496624Z                 }
2022-11-23T02:04:40.0496795Z             }
2022-11-23T02:04:40.0496946Z         }
2022-11-23T02:04:40.0497097Z     }
2022-11-23T02:04:40.0497246Z }
2022-11-23T02:04:40.0497473Z ''')
2022-11-23T02:04:40.0497499Z 
2022-11-23T02:04:40.0497528Z 
2022-11-23T02:04:40.0497755Z async_compile.wait(globals())
2022-11-23T02:04:40.0497926Z del async_compile
2022-11-23T02:04:40.0497952Z 
2022-11-23T02:04:40.0498072Z def call(args):
2022-11-23T02:04:40.0498187Z     primals_1, = args
2022-11-23T02:04:40.0498295Z     args.clear()
2022-11-23T02:04:40.0498580Z     buf0 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0498836Z     buf1 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:40.0499077Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T02:04:40.0499185Z     del primals_1
2022-11-23T02:04:40.0499282Z     return (buf0, buf1, )
2022-11-23T02:04:40.0499302Z 
2022-11-23T02:04:40.0499339Z 
2022-11-23T02:04:40.0499434Z if __name__ == "__main__":
2022-11-23T02:04:40.0499593Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.0499766Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.0500042Z     primals_1 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0500206Z     print_performance(lambda: call([primals_1]))
2022-11-23T02:04:40.0500225Z 
2022-11-23T02:04:40.0500331Z ok (2.688s)
2022-11-23T02:04:40.0500763Z   test_vertical_fusion1_cpu (__main__.CpuTests) ... [2022-11-23 02:01:26,127] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.0501319Z [2022-11-23 02:01:26,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.0501620Z [2022-11-23 02:01:26,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.0501960Z [2022-11-23 02:01:26,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.0502333Z [2022-11-23 02:01:26,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.0502759Z [2022-11-23 02:01:26,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0503219Z [2022-11-23 02:01:26,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0503653Z [2022-11-23 02:01:26,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0504215Z [2022-11-23 02:01:26,128] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa641159210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 702> 
2022-11-23T02:04:40.0504463Z  704           0 LOAD_CONST               1 (-3.087032500374211e-07)
2022-11-23T02:04:40.0504597Z               2 STORE_FAST               3 (v17)
2022-11-23T02:04:40.0504617Z 
2022-11-23T02:04:40.0504847Z 705           4 LOAD_CONST               2 (-1.988366587925593e-08)
2022-11-23T02:04:40.0504964Z               6 STORE_FAST               4 (v18)
2022-11-23T02:04:40.0504983Z 
2022-11-23T02:04:40.0505207Z 706           8 LOAD_CONST               3 (-1.061519070296458e-11)
2022-11-23T02:04:40.0505338Z              10 STORE_FAST               5 (v19)
2022-11-23T02:04:40.0505363Z 
2022-11-23T02:04:40.0505588Z 707          12 LOAD_CONST               4 (1.55093272922008e-10)
2022-11-23T02:04:40.0505720Z              14 STORE_FAST               6 (v20)
2022-11-23T02:04:40.0505739Z 
2022-11-23T02:04:40.0505874Z 708          16 LOAD_FAST                5 (v19)
2022-11-23T02:04:40.0506008Z              18 LOAD_FAST                1 (ct)
2022-11-23T02:04:40.0506130Z              20 BINARY_MULTIPLY
2022-11-23T02:04:40.0506241Z              22 STORE_FAST               7 (t15)
2022-11-23T02:04:40.0506262Z 
2022-11-23T02:04:40.0506398Z 709          24 LOAD_FAST                3 (v17)
2022-11-23T02:04:40.0506522Z              26 LOAD_FAST                1 (ct)
2022-11-23T02:04:40.0506653Z              28 LOAD_FAST                4 (v18)
2022-11-23T02:04:40.0506779Z              30 LOAD_FAST                7 (t15)
2022-11-23T02:04:40.0506886Z              32 BINARY_ADD
2022-11-23T02:04:40.0507002Z              34 BINARY_MULTIPLY
2022-11-23T02:04:40.0507094Z              36 BINARY_ADD
2022-11-23T02:04:40.0507221Z              38 LOAD_FAST                6 (v20)
2022-11-23T02:04:40.0507351Z              40 LOAD_FAST                0 (sa)
2022-11-23T02:04:40.0507465Z              42 BINARY_MULTIPLY
2022-11-23T02:04:40.0507576Z              44 BINARY_ADD
2022-11-23T02:04:40.0507705Z              46 STORE_FAST               8 (t19)
2022-11-23T02:04:40.0507724Z 
2022-11-23T02:04:40.0507852Z 710          48 LOAD_CONST               5 (1.0)
2022-11-23T02:04:40.0507960Z              50 LOAD_FAST                8 (t19)
2022-11-23T02:04:40.0508083Z              52 BINARY_TRUE_DIVIDE
2022-11-23T02:04:40.0508208Z              54 STORE_FAST               9 (t20)
2022-11-23T02:04:40.0508228Z 
2022-11-23T02:04:40.0508354Z 711          56 LOAD_FAST                8 (t19)
2022-11-23T02:04:40.0508486Z              58 LOAD_FAST                2 (p)
2022-11-23T02:04:40.0508601Z              60 BINARY_MULTIPLY
2022-11-23T02:04:40.0508734Z              62 STORE_FAST              10 (t128)
2022-11-23T02:04:40.0508829Z 
2022-11-23T02:04:40.0508961Z 712          64 LOAD_FAST                9 (t20)
2022-11-23T02:04:40.0509073Z              66 LOAD_FAST               10 (t128)
2022-11-23T02:04:40.0509179Z              68 BINARY_ADD
2022-11-23T02:04:40.0509292Z              70 RETURN_VALUE
2022-11-23T02:04:40.0509383Z  
2022-11-23T02:04:40.0509401Z 
2022-11-23T02:04:40.0509832Z [2022-11-23 02:01:26,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:704
2022-11-23T02:04:40.0510159Z [2022-11-23 02:01:26,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -3.087032500374211e-07 []
2022-11-23T02:04:40.0510500Z [2022-11-23 02:01:26,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v17 [ConstantVariable(float)]
2022-11-23T02:04:40.0510913Z [2022-11-23 02:01:26,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:705
2022-11-23T02:04:40.0511240Z [2022-11-23 02:01:26,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.988366587925593e-08 []
2022-11-23T02:04:40.0511559Z [2022-11-23 02:01:26,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v18 [ConstantVariable(float)]
2022-11-23T02:04:40.0512051Z [2022-11-23 02:01:26,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:706
2022-11-23T02:04:40.0512389Z [2022-11-23 02:01:26,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.061519070296458e-11 []
2022-11-23T02:04:40.0512728Z [2022-11-23 02:01:26,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v19 [ConstantVariable(float)]
2022-11-23T02:04:40.0513141Z [2022-11-23 02:01:26,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:707
2022-11-23T02:04:40.0513459Z [2022-11-23 02:01:26,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.55093272922008e-10 []
2022-11-23T02:04:40.0513798Z [2022-11-23 02:01:26,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v20 [ConstantVariable(float)]
2022-11-23T02:04:40.0514273Z [2022-11-23 02:01:26,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:708
2022-11-23T02:04:40.0514564Z [2022-11-23 02:01:26,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v19 []
2022-11-23T02:04:40.0514879Z [2022-11-23 02:01:26,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ct [ConstantVariable(float)]
2022-11-23T02:04:40.0515277Z [2022-11-23 02:01:26,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(float), TensorVariable()]
2022-11-23T02:04:40.0515602Z [2022-11-23 02:01:26,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t15 [TensorVariable()]
2022-11-23T02:04:40.0516023Z [2022-11-23 02:01:26,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:709
2022-11-23T02:04:40.0516317Z [2022-11-23 02:01:26,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v17 []
2022-11-23T02:04:40.0516659Z [2022-11-23 02:01:26,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ct [ConstantVariable(float)]
2022-11-23T02:04:40.0517035Z [2022-11-23 02:01:26,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v18 [ConstantVariable(float), TensorVariable()]
2022-11-23T02:04:40.0517458Z [2022-11-23 02:01:26,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t15 [ConstantVariable(float), TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:40.0517925Z [2022-11-23 02:01:26,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ConstantVariable(float), TensorVariable(), ConstantVariable(float), TensorVariable()]
2022-11-23T02:04:40.0518360Z [2022-11-23 02:01:26,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(float), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0518808Z [2022-11-23 02:01:26,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ConstantVariable(float), TensorVariable()]
2022-11-23T02:04:40.0519118Z [2022-11-23 02:01:26,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v20 [TensorVariable()]
2022-11-23T02:04:40.0519494Z [2022-11-23 02:01:26,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sa [TensorVariable(), ConstantVariable(float)]
2022-11-23T02:04:40.0519928Z [2022-11-23 02:01:26,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(float), TensorVariable()]
2022-11-23T02:04:40.0520293Z [2022-11-23 02:01:26,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0520618Z [2022-11-23 02:01:26,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t19 [TensorVariable()]
2022-11-23T02:04:40.0521031Z [2022-11-23 02:01:26,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:710
2022-11-23T02:04:40.0521330Z [2022-11-23 02:01:26,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 []
2022-11-23T02:04:40.0521721Z [2022-11-23 02:01:26,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t19 [ConstantVariable(float)]
2022-11-23T02:04:40.0522123Z [2022-11-23 02:01:26,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [ConstantVariable(float), TensorVariable()]
2022-11-23T02:04:40.0522428Z [2022-11-23 02:01:26,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t20 [TensorVariable()]
2022-11-23T02:04:40.0522843Z [2022-11-23 02:01:26,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:711
2022-11-23T02:04:40.0523140Z [2022-11-23 02:01:26,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t19 []
2022-11-23T02:04:40.0523472Z [2022-11-23 02:01:26,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST p [TensorVariable()]
2022-11-23T02:04:40.0523856Z [2022-11-23 02:01:26,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0524190Z [2022-11-23 02:01:26,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t128 [TensorVariable()]
2022-11-23T02:04:40.0524601Z [2022-11-23 02:01:26,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:712
2022-11-23T02:04:40.0524889Z [2022-11-23 02:01:26,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t20 []
2022-11-23T02:04:40.0525211Z [2022-11-23 02:01:26,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t128 [TensorVariable()]
2022-11-23T02:04:40.0525581Z [2022-11-23 02:01:26,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0525895Z [2022-11-23 02:01:26,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:40.0526408Z [2022-11-23 02:01:26,147] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa641159210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 702>
2022-11-23T02:04:40.0526747Z [2022-11-23 02:01:26,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:40.0527064Z [2022-11-23 02:01:26,147] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0527416Z [2022-11-23 02:01:26,149] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0527758Z [2022-11-23 02:01:26,162] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0528020Z [2022-11-23 02:01:26,162] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0528211Z  __compiled_fn_354 <eval_with_key>.2603 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0528422Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0528530Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.0528661Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T02:04:40.0528949Z call_function, mul, <built-in function mul>, (-1.061519070296458e-11, ex_1_), {}
2022-11-23T02:04:40.0529224Z call_function, add, <built-in function add>, (-1.988366587925593e-08, mul), {}
2022-11-23T02:04:40.0529466Z call_function, mul_1, <built-in function mul>, (ex_1_, add), {}
2022-11-23T02:04:40.0529748Z call_function, add_1, <built-in function add>, (-3.087032500374211e-07, mul_1), {}
2022-11-23T02:04:40.0530020Z call_function, mul_2, <built-in function mul>, (1.55093272922008e-10, ex_0_), {}
2022-11-23T02:04:40.0530272Z call_function, add_2, <built-in function add>, (add_1, mul_2), {}
2022-11-23T02:04:40.0530514Z call_function, truediv, <built-in function truediv>, (1.0, add_2), {}
2022-11-23T02:04:40.0530755Z call_function, mul_3, <built-in function mul>, (add_2, ex_2_), {}
2022-11-23T02:04:40.0531011Z call_function, add_3, <built-in function add>, (truediv, mul_3), {}
2022-11-23T02:04:40.0531148Z output, output, output, ((add_3,),), {}
2022-11-23T02:04:40.0531174Z 
2022-11-23T02:04:40.0531678Z [2022-11-23 02:01:26,163] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0531821Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0531954Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0532082Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0532198Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0532321Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0532454Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0532570Z              12 RETURN_VALUE
2022-11-23T02:04:40.0532591Z 
2022-11-23T02:04:40.0532684Z  
2022-11-23T02:04:40.0533124Z [2022-11-23 02:01:26,163] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0533282Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_354)
2022-11-23T02:04:40.0533411Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0533530Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0533641Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0533771Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0533901Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.0534013Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.0534135Z              14 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0534244Z              16 LOAD_CONST               3 (2)
2022-11-23T02:04:40.0534356Z              18 BINARY_SUBSCR
2022-11-23T02:04:40.0534483Z              20 CALL_FUNCTION            3
2022-11-23T02:04:40.0534615Z              22 UNPACK_SEQUENCE          1
2022-11-23T02:04:40.0534732Z              24 RETURN_VALUE
2022-11-23T02:04:40.0534753Z 
2022-11-23T02:04:40.0534844Z  
2022-11-23T02:04:40.0535101Z [2022-11-23 02:01:26,164] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0535211Z  - 
2022-11-23T02:04:40.0535367Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0535470Z             {
2022-11-23T02:04:40.0535669Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0535925Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 3'],
2022-11-23T02:04:40.0536592Z                 'obj_weakref': None
2022-11-23T02:04:40.0537120Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0537272Z             }
2022-11-23T02:04:40.0537396Z             
2022-11-23T02:04:40.0537567Z  - 
2022-11-23T02:04:40.0537853Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0538011Z             {
2022-11-23T02:04:40.0538279Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0538607Z                 'code': None,
2022-11-23T02:04:40.0538898Z                 'obj_weakref': <weakref at 0x7fa51c53cae0; to 'Tensor' at 0x7fa53c3d5cb0>
2022-11-23T02:04:40.0539224Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0539324Z             }
2022-11-23T02:04:40.0539419Z             
2022-11-23T02:04:40.0539525Z  - 
2022-11-23T02:04:40.0539700Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.0539798Z             {
2022-11-23T02:04:40.0539999Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0540134Z                 'code': None,
2022-11-23T02:04:40.0540422Z                 'obj_weakref': <weakref at 0x7fa51c53ecf0; to 'Tensor' at 0x7fa53c3d58a0>
2022-11-23T02:04:40.0540759Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0540861Z             }
2022-11-23T02:04:40.0540961Z             
2022-11-23T02:04:40.0541069Z  - 
2022-11-23T02:04:40.0541278Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T02:04:40.0541355Z             {
2022-11-23T02:04:40.0541561Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0541761Z                 'code': None,
2022-11-23T02:04:40.0542057Z                 'obj_weakref': <weakref at 0x7fa51c53e020; to 'Tensor' at 0x7fa5501472e0>
2022-11-23T02:04:40.0542395Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0542496Z             }
2022-11-23T02:04:40.0542592Z             
2022-11-23T02:04:40.0542678Z  - 
2022-11-23T02:04:40.0542862Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0542960Z             {
2022-11-23T02:04:40.0543149Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0543378Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.0543544Z                 'obj_weakref': None
2022-11-23T02:04:40.0543860Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0543940Z             }
2022-11-23T02:04:40.0544035Z             
2022-11-23T02:04:40.0544142Z  - 
2022-11-23T02:04:40.0544319Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0544416Z             {
2022-11-23T02:04:40.0544606Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0544900Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0545050Z                 'obj_weakref': None
2022-11-23T02:04:40.0545350Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0545447Z             }
2022-11-23T02:04:40.0545543Z             
2022-11-23T02:04:40.0545894Z [2022-11-23 02:01:26,186] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 346
2022-11-23T02:04:40.0546381Z [2022-11-23 02:01:28,819] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pj/cpj7a4ue7cxe2365bm73loinmbw2dssy2y7dors47t7uuynwr4ov.py
2022-11-23T02:04:40.0546742Z [2022-11-23 02:01:28,820] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 346
2022-11-23T02:04:40.0546763Z 
2022-11-23T02:04:40.0546901Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.0546985Z import torch
2022-11-23T02:04:40.0547090Z import random
2022-11-23T02:04:40.0547255Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.0547425Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.0547445Z 
2022-11-23T02:04:40.0547557Z aten = torch.ops.aten
2022-11-23T02:04:40.0547747Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.0547879Z async_compile = AsyncCompile()
2022-11-23T02:04:40.0547898Z 
2022-11-23T02:04:40.0547917Z 
2022-11-23T02:04:40.0548113Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.0548440Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.0548608Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.0548757Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.0548909Z                        const float* __restrict__ in_ptr2,
2022-11-23T02:04:40.0549051Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.0549142Z {
2022-11-23T02:04:40.0549286Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.0549362Z     {
2022-11-23T02:04:40.0549473Z         #pragma omp for 
2022-11-23T02:04:40.0549593Z         for(long i0=0; i0<41616; i0+=1)
2022-11-23T02:04:40.0549691Z         {
2022-11-23T02:04:40.0549810Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T02:04:40.0549907Z             {
2022-11-23T02:04:40.0550142Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (26*i0));
2022-11-23T02:04:40.0550321Z                 auto tmp8 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (26*i0));
2022-11-23T02:04:40.0550517Z                 auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i1);
2022-11-23T02:04:40.0550904Z                 auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-1.061519070296458e-11));
2022-11-23T02:04:40.0551041Z                 auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.0551352Z                 auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(-1.988366587925593e-08));
2022-11-23T02:04:40.0551483Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.0551610Z                 auto tmp5 = tmp0 * tmp4;
2022-11-23T02:04:40.0551916Z                 auto tmp6 = at::vec::Vectorized<float>(static_cast<float>(-3.087032500374211e-07));
2022-11-23T02:04:40.0552045Z                 auto tmp7 = tmp5 + tmp6;
2022-11-23T02:04:40.0552327Z                 auto tmp9 = at::vec::Vectorized<float>(static_cast<float>(1.55093272922008e-10));
2022-11-23T02:04:40.0552455Z                 auto tmp10 = tmp8 * tmp9;
2022-11-23T02:04:40.0552590Z                 auto tmp11 = tmp7 + tmp10;
2022-11-23T02:04:40.0552740Z                 auto tmp12 = tmp11.reciprocal();
2022-11-23T02:04:40.0552932Z                 auto tmp13 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2022-11-23T02:04:40.0553069Z                 auto tmp14 = tmp12 * tmp13;
2022-11-23T02:04:40.0553202Z                 auto tmp16 = tmp11 * tmp15;
2022-11-23T02:04:40.0553313Z                 auto tmp17 = tmp14 + tmp16;
2022-11-23T02:04:40.0553465Z                 tmp17.store(out_ptr0 + (8*i1) + (26*i0));
2022-11-23T02:04:40.0553563Z             }
2022-11-23T02:04:40.0553697Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:40.0553823Z             for(long i1=24; i1<26; i1+=1)
2022-11-23T02:04:40.0553922Z             {
2022-11-23T02:04:40.0554062Z                 auto tmp0 = in_ptr0[i1 + (26*i0)];
2022-11-23T02:04:40.0554178Z                 auto tmp8 = in_ptr1[i1 + (26*i0)];
2022-11-23T02:04:40.0554307Z                 auto tmp15 = in_ptr2[i1];
2022-11-23T02:04:40.0554560Z                 auto tmp1 = static_cast<float>(-1.061519070296458e-11);
2022-11-23T02:04:40.0554692Z                 auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.0554941Z                 auto tmp3 = static_cast<float>(-1.988366587925593e-08);
2022-11-23T02:04:40.0555071Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.0555198Z                 auto tmp5 = tmp0 * tmp4;
2022-11-23T02:04:40.0555441Z                 auto tmp6 = static_cast<float>(-3.087032500374211e-07);
2022-11-23T02:04:40.0555549Z                 auto tmp7 = tmp5 + tmp6;
2022-11-23T02:04:40.0555792Z                 auto tmp9 = static_cast<float>(1.55093272922008e-10);
2022-11-23T02:04:40.0555920Z                 auto tmp10 = tmp8 * tmp9;
2022-11-23T02:04:40.0556049Z                 auto tmp11 = tmp7 + tmp10;
2022-11-23T02:04:40.0556167Z                 auto tmp12 = 1 / tmp11;
2022-11-23T02:04:40.0556313Z                 auto tmp13 = static_cast<float>(1.0);
2022-11-23T02:04:40.0556509Z                 auto tmp14 = tmp12 * tmp13;
2022-11-23T02:04:40.0556622Z                 auto tmp16 = tmp11 * tmp15;
2022-11-23T02:04:40.0556754Z                 auto tmp17 = tmp14 + tmp16;
2022-11-23T02:04:40.0556887Z                 out_ptr0[i1 + (26*i0)] = tmp17;
2022-11-23T02:04:40.0556990Z             }
2022-11-23T02:04:40.0557095Z         }
2022-11-23T02:04:40.0557194Z     }
2022-11-23T02:04:40.0557285Z }
2022-11-23T02:04:40.0557395Z ''')
2022-11-23T02:04:40.0557415Z 
2022-11-23T02:04:40.0557433Z 
2022-11-23T02:04:40.0557573Z async_compile.wait(globals())
2022-11-23T02:04:40.0557683Z del async_compile
2022-11-23T02:04:40.0557702Z 
2022-11-23T02:04:40.0557808Z def call(args):
2022-11-23T02:04:40.0557933Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T02:04:40.0558041Z     args.clear()
2022-11-23T02:04:40.0558340Z     buf0 = empty_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0558586Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.0558695Z     del arg0_1
2022-11-23T02:04:40.0558800Z     del arg1_1
2022-11-23T02:04:40.0558900Z     del arg2_1
2022-11-23T02:04:40.0559009Z     return (buf0, )
2022-11-23T02:04:40.0559028Z 
2022-11-23T02:04:40.0559104Z 
2022-11-23T02:04:40.0559224Z if __name__ == "__main__":
2022-11-23T02:04:40.0559393Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.0559566Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.0559849Z     arg0_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0560139Z     arg1_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0560401Z     arg2_1 = rand_strided((26, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0560578Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T02:04:40.0560597Z 
2022-11-23T02:04:40.0560710Z ok (2.729s)
2022-11-23T02:04:40.0561125Z   test_views1_cpu (__main__.CpuTests) ... [2022-11-23 02:01:28,835] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.0561557Z [2022-11-23 02:01:28,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.0561858Z [2022-11-23 02:01:28,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.0562198Z [2022-11-23 02:01:28,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.0562557Z [2022-11-23 02:01:28,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.0562985Z [2022-11-23 02:01:28,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0563448Z [2022-11-23 02:01:28,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0563889Z [2022-11-23 02:01:28,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0564396Z [2022-11-23 02:01:28,836] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T02:04:40.0564533Z  940           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.0564674Z               2 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.0564813Z               4 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.0564941Z               6 CALL_METHOD              1
2022-11-23T02:04:40.0565055Z               8 LOAD_FAST                1 (y)
2022-11-23T02:04:40.0565165Z              10 BINARY_ADD
2022-11-23T02:04:40.0565293Z              12 BUILD_TUPLE              1
2022-11-23T02:04:40.0565467Z              14 RETURN_VALUE
2022-11-23T02:04:40.0565560Z  
2022-11-23T02:04:40.0565579Z 
2022-11-23T02:04:40.0566010Z [2022-11-23 02:01:28,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T02:04:40.0566295Z [2022-11-23 02:01:28,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.0566623Z [2022-11-23 02:01:28,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.0566985Z [2022-11-23 02:01:28,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.0567393Z [2022-11-23 02:01:28,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.0567711Z [2022-11-23 02:01:28,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.0568080Z [2022-11-23 02:01:28,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0568463Z [2022-11-23 02:01:28,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.0568803Z [2022-11-23 02:01:28,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0569315Z [2022-11-23 02:01:28,841] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T02:04:40.0569646Z [2022-11-23 02:01:28,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0569968Z [2022-11-23 02:01:28,841] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0570308Z [2022-11-23 02:01:28,844] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0570630Z [2022-11-23 02:01:28,849] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0570892Z [2022-11-23 02:01:28,850] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0571082Z  __compiled_fn_355 <eval_with_key>.2609 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0571212Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0571340Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.0571481Z call_method, view, view, (ex_0_, [5, 7]), {}
2022-11-23T02:04:40.0571730Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.0571849Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.0571887Z 
2022-11-23T02:04:40.0572304Z [2022-11-23 02:01:28,850] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0572443Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0572580Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0572702Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0572836Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0572967Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0573096Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0573190Z              12 RETURN_VALUE
2022-11-23T02:04:40.0573209Z 
2022-11-23T02:04:40.0573303Z  
2022-11-23T02:04:40.0573805Z [2022-11-23 02:01:28,851] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0573962Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_355)
2022-11-23T02:04:40.0574093Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0574225Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0574341Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0574567Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0574677Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.0574790Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.0574915Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.0575071Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.0575254Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.0575393Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.0575521Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.0575641Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.0575787Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0575921Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0576562Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.0576789Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.0577011Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0577240Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0577419Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0577601Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.0578003Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.0578235Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0578393Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0578520Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0578632Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.0578758Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.0578868Z              54 RETURN_VALUE
2022-11-23T02:04:40.0578887Z 
2022-11-23T02:04:40.0578981Z  
2022-11-23T02:04:40.0579269Z [2022-11-23 02:01:28,853] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0579382Z  - 
2022-11-23T02:04:40.0579550Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0579651Z             {
2022-11-23T02:04:40.0579850Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0580091Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.0580264Z                 'obj_weakref': None
2022-11-23T02:04:40.0580569Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0580668Z             }
2022-11-23T02:04:40.0580763Z             
2022-11-23T02:04:40.0580868Z  - 
2022-11-23T02:04:40.0581044Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0581122Z             {
2022-11-23T02:04:40.0581316Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0581469Z                 'code': None,
2022-11-23T02:04:40.0581755Z                 'obj_weakref': <weakref at 0x7fa51c53f880; to 'Tensor' at 0x7fa5501472e0>
2022-11-23T02:04:40.0582097Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0582196Z             }
2022-11-23T02:04:40.0582291Z             
2022-11-23T02:04:40.0582377Z  - 
2022-11-23T02:04:40.0582553Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.0582648Z             {
2022-11-23T02:04:40.0582849Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0583002Z                 'code': None,
2022-11-23T02:04:40.0583288Z                 'obj_weakref': <weakref at 0x7fa51c2aefc0; to 'Tensor' at 0x7fa531fc31f0>
2022-11-23T02:04:40.0583629Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0583707Z             }
2022-11-23T02:04:40.0583804Z             
2022-11-23T02:04:40.0583908Z  - 
2022-11-23T02:04:40.0584091Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0584187Z             {
2022-11-23T02:04:40.0584373Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0584712Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.0584863Z                 'obj_weakref': None
2022-11-23T02:04:40.0585170Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0585270Z             }
2022-11-23T02:04:40.0585364Z             
2022-11-23T02:04:40.0585467Z  - 
2022-11-23T02:04:40.0585639Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0585736Z             {
2022-11-23T02:04:40.0585910Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0586200Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0586368Z                 'obj_weakref': None
2022-11-23T02:04:40.0586667Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0586762Z             }
2022-11-23T02:04:40.0586857Z             
2022-11-23T02:04:40.0586968Z  - 
2022-11-23T02:04:40.0587194Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.0587290Z             {
2022-11-23T02:04:40.0587522Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.0588330Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents == [5, 7]'],
2022-11-23T02:04:40.0588513Z                 'obj_weakref': None
2022-11-23T02:04:40.0588814Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.0588911Z             }
2022-11-23T02:04:40.0589006Z             
2022-11-23T02:04:40.0589093Z  - 
2022-11-23T02:04:40.0589342Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.0589441Z             {
2022-11-23T02:04:40.0589645Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0590021Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 5'],
2022-11-23T02:04:40.0590191Z                 'obj_weakref': None
2022-11-23T02:04:40.0590491Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0590567Z             }
2022-11-23T02:04:40.0590665Z             
2022-11-23T02:04:40.0590767Z  - 
2022-11-23T02:04:40.0591018Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.0591113Z             {
2022-11-23T02:04:40.0591310Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0591689Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 7'],
2022-11-23T02:04:40.0591840Z                 'obj_weakref': None
2022-11-23T02:04:40.0592143Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0592238Z             }
2022-11-23T02:04:40.0592333Z             
2022-11-23T02:04:40.0592688Z [2022-11-23 02:01:28,866] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 347
2022-11-23T02:04:40.0593177Z [2022-11-23 02:01:31,488] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a3/ca3spsmsjlhlo4fwajlyaue25zb7z7fx3pb5tbdgg3hsq7kffyke.py
2022-11-23T02:04:40.0593533Z [2022-11-23 02:01:31,488] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 347
2022-11-23T02:04:40.0593857Z [2022-11-23 02:01:31,494] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.0594282Z [2022-11-23 02:01:31,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.0594625Z [2022-11-23 02:01:31,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.0594969Z [2022-11-23 02:01:31,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.0595348Z [2022-11-23 02:01:31,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.0595781Z [2022-11-23 02:01:31,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0596241Z [2022-11-23 02:01:31,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0596674Z [2022-11-23 02:01:31,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0597172Z [2022-11-23 02:01:31,495] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T02:04:40.0597309Z  943           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.0597502Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:40.0597600Z               4 BINARY_ADD
2022-11-23T02:04:40.0597738Z               6 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.0597872Z               8 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.0597997Z              10 CALL_METHOD              1
2022-11-23T02:04:40.0598125Z              12 LOAD_FAST                1 (y)
2022-11-23T02:04:40.0598233Z              14 BINARY_ADD
2022-11-23T02:04:40.0598364Z              16 BUILD_TUPLE              1
2022-11-23T02:04:40.0598458Z              18 RETURN_VALUE
2022-11-23T02:04:40.0598556Z  
2022-11-23T02:04:40.0598577Z 
2022-11-23T02:04:40.0599002Z [2022-11-23 02:01:31,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T02:04:40.0599291Z [2022-11-23 02:01:31,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.0599619Z [2022-11-23 02:01:31,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.0600002Z [2022-11-23 02:01:31,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0600329Z [2022-11-23 02:01:31,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.0600707Z [2022-11-23 02:01:31,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.0601111Z [2022-11-23 02:01:31,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.0601441Z [2022-11-23 02:01:31,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.0601789Z [2022-11-23 02:01:31,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0602119Z [2022-11-23 02:01:31,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.0602453Z [2022-11-23 02:01:31,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0602957Z [2022-11-23 02:01:31,502] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T02:04:40.0603288Z [2022-11-23 02:01:31,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0603605Z [2022-11-23 02:01:31,502] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0604056Z [2022-11-23 02:01:31,504] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0604401Z [2022-11-23 02:01:31,511] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0604667Z [2022-11-23 02:01:31,511] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0604838Z  __compiled_fn_356 <eval_with_key>.2615 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0604970Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0605099Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.0605342Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:40.0605483Z call_method, view, view, (add, [5, 7]), {}
2022-11-23T02:04:40.0605731Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.0605868Z output, output, output, ((add_1,),), {}
2022-11-23T02:04:40.0605890Z 
2022-11-23T02:04:40.0606330Z [2022-11-23 02:01:31,512] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0606454Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0606586Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0606866Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0607012Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0607138Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0607271Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0607384Z              12 RETURN_VALUE
2022-11-23T02:04:40.0607404Z 
2022-11-23T02:04:40.0607477Z  
2022-11-23T02:04:40.0607915Z [2022-11-23 02:01:31,512] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0608073Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_356)
2022-11-23T02:04:40.0608205Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0608341Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0608455Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0608587Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0608721Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.0608815Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.0608945Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.0609093Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.0609274Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.0609412Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.0609540Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.0609676Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.0609801Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0609931Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0610045Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.0610173Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.0610303Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0610448Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0610578Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0610673Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.0610821Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.0610957Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0611097Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0611224Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0611336Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.0611480Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.0611588Z              54 RETURN_VALUE
2022-11-23T02:04:40.0611675Z 
2022-11-23T02:04:40.0611752Z  
2022-11-23T02:04:40.0612017Z [2022-11-23 02:01:31,514] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0612124Z  - 
2022-11-23T02:04:40.0612290Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0612387Z             {
2022-11-23T02:04:40.0612589Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0612846Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.0612997Z                 'obj_weakref': None
2022-11-23T02:04:40.0613304Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0613401Z             }
2022-11-23T02:04:40.0613495Z             
2022-11-23T02:04:40.0613600Z  - 
2022-11-23T02:04:40.0613774Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0613876Z             {
2022-11-23T02:04:40.0614056Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0614211Z                 'code': None,
2022-11-23T02:04:40.0614505Z                 'obj_weakref': <weakref at 0x7fa51c1d62a0; to 'Tensor' at 0x7fa531fc31f0>
2022-11-23T02:04:40.0614843Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0614998Z             }
2022-11-23T02:04:40.0615102Z             
2022-11-23T02:04:40.0615210Z  - 
2022-11-23T02:04:40.0615366Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.0615465Z             {
2022-11-23T02:04:40.0615662Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0615825Z                 'code': None,
2022-11-23T02:04:40.0616656Z                 'obj_weakref': <weakref at 0x7fa51c1d7b00; to 'Tensor' at 0x7fa550411170>
2022-11-23T02:04:40.0617276Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0617430Z             }
2022-11-23T02:04:40.0617564Z             
2022-11-23T02:04:40.0617741Z  - 
2022-11-23T02:04:40.0618042Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0618142Z             {
2022-11-23T02:04:40.0618340Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0618576Z                 'code': ['___check_obj_id(model, 140347991889744)'],
2022-11-23T02:04:40.0618753Z                 'obj_weakref': None
2022-11-23T02:04:40.0619047Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0619145Z             }
2022-11-23T02:04:40.0619241Z             
2022-11-23T02:04:40.0619350Z  - 
2022-11-23T02:04:40.0619522Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0619615Z             {
2022-11-23T02:04:40.0619807Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0620079Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0620247Z                 'obj_weakref': None
2022-11-23T02:04:40.0620543Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0620644Z             }
2022-11-23T02:04:40.0620739Z             
2022-11-23T02:04:40.0620844Z  - 
2022-11-23T02:04:40.0621087Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.0621176Z             {
2022-11-23T02:04:40.0621405Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.0622111Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents == [5, 7]'],
2022-11-23T02:04:40.0622281Z                 'obj_weakref': None
2022-11-23T02:04:40.0622582Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.0622681Z             }
2022-11-23T02:04:40.0622935Z             
2022-11-23T02:04:40.0623046Z  - 
2022-11-23T02:04:40.0623278Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.0623375Z             {
2022-11-23T02:04:40.0623574Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0623958Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 5'],
2022-11-23T02:04:40.0624127Z                 'obj_weakref': None
2022-11-23T02:04:40.0624429Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0624525Z             }
2022-11-23T02:04:40.0624601Z             
2022-11-23T02:04:40.0624710Z  - 
2022-11-23T02:04:40.0624964Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.0625062Z             {
2022-11-23T02:04:40.0625261Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0625644Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 7'],
2022-11-23T02:04:40.0625813Z                 'obj_weakref': None
2022-11-23T02:04:40.0626224Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0626331Z             }
2022-11-23T02:04:40.0626426Z             
2022-11-23T02:04:40.0626785Z [2022-11-23 02:01:31,526] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 348
2022-11-23T02:04:40.0627271Z [2022-11-23 02:01:34,174] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uy/cuywbyom74wkvwvpg6k3m463fqq7smsgamnaqm4mk6saiskstnqc.py
2022-11-23T02:04:40.0627625Z [2022-11-23 02:01:34,174] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 348
2022-11-23T02:04:40.0627942Z [2022-11-23 02:01:34,180] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.0628369Z [2022-11-23 02:01:34,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.0628669Z [2022-11-23 02:01:34,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.0628992Z [2022-11-23 02:01:34,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.0629362Z [2022-11-23 02:01:34,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.0629792Z [2022-11-23 02:01:34,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0630252Z [2022-11-23 02:01:34,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0630685Z [2022-11-23 02:01:34,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0631190Z [2022-11-23 02:01:34,182] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T02:04:40.0631327Z  940           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.0631466Z               2 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.0631602Z               4 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.0631708Z               6 CALL_METHOD              1
2022-11-23T02:04:40.0631841Z               8 LOAD_FAST                1 (y)
2022-11-23T02:04:40.0631949Z              10 BINARY_ADD
2022-11-23T02:04:40.0632078Z              12 BUILD_TUPLE              1
2022-11-23T02:04:40.0632191Z              14 RETURN_VALUE
2022-11-23T02:04:40.0632285Z  
2022-11-23T02:04:40.0632306Z 
2022-11-23T02:04:40.0632805Z [2022-11-23 02:01:34,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T02:04:40.0633091Z [2022-11-23 02:01:34,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.0633404Z [2022-11-23 02:01:34,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.0633779Z [2022-11-23 02:01:34,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.0634182Z [2022-11-23 02:01:34,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.0634500Z [2022-11-23 02:01:34,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.0634860Z [2022-11-23 02:01:34,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0635188Z [2022-11-23 02:01:34,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.0635516Z [2022-11-23 02:01:34,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0636068Z [2022-11-23 02:01:34,187] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T02:04:40.0636411Z [2022-11-23 02:01:34,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0636728Z [2022-11-23 02:01:34,187] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0637050Z [2022-11-23 02:01:34,190] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0637390Z [2022-11-23 02:01:34,196] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0637659Z [2022-11-23 02:01:34,196] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0637849Z  __compiled_fn_357 <eval_with_key>.2621 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0637979Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0638119Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.0638272Z call_method, view, view, (ex_0_, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T02:04:40.0638517Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.0638636Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.0638656Z 
2022-11-23T02:04:40.0639089Z [2022-11-23 02:01:34,197] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0639230Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0639367Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0639498Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0639636Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0639763Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0639894Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0639991Z              12 RETURN_VALUE
2022-11-23T02:04:40.0640010Z 
2022-11-23T02:04:40.0640102Z  
2022-11-23T02:04:40.0640534Z [2022-11-23 02:01:34,197] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0640689Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_357)
2022-11-23T02:04:40.0640821Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0640953Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0641068Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0641178Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0641308Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.0641507Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.0641636Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.0641787Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.0641973Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.0642114Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.0642240Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.0642358Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.0642504Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0642635Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0642745Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.0642873Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.0643010Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0643154Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0643270Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0643381Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.0643527Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.0643661Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0643851Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0643988Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0644101Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.0644226Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.0644337Z              54 RETURN_VALUE
2022-11-23T02:04:40.0644358Z 
2022-11-23T02:04:40.0644449Z  
2022-11-23T02:04:40.0644720Z [2022-11-23 02:01:34,200] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0644892Z  - 
2022-11-23T02:04:40.0645059Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0645159Z             {
2022-11-23T02:04:40.0645337Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0645595Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.0645765Z                 'obj_weakref': None
2022-11-23T02:04:40.0646078Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0646177Z             }
2022-11-23T02:04:40.0646274Z             
2022-11-23T02:04:40.0646379Z  - 
2022-11-23T02:04:40.0646536Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0646632Z             {
2022-11-23T02:04:40.0646830Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0646980Z                 'code': None,
2022-11-23T02:04:40.0647268Z                 'obj_weakref': <weakref at 0x7fa51c1724d0; to 'Tensor' at 0x7fa531fc31f0>
2022-11-23T02:04:40.0647607Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0647706Z             }
2022-11-23T02:04:40.0647782Z             
2022-11-23T02:04:40.0647896Z  - 
2022-11-23T02:04:40.0648071Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.0648168Z             {
2022-11-23T02:04:40.0648368Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0648522Z                 'code': None,
2022-11-23T02:04:40.0648811Z                 'obj_weakref': <weakref at 0x7fa5321c2890; to 'Tensor' at 0x7fa531e84680>
2022-11-23T02:04:40.0649130Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0649224Z             }
2022-11-23T02:04:40.0649321Z             
2022-11-23T02:04:40.0649428Z  - 
2022-11-23T02:04:40.0649608Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0649702Z             {
2022-11-23T02:04:40.0649892Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0650171Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.0650338Z                 'obj_weakref': None
2022-11-23T02:04:40.0650724Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0650821Z             }
2022-11-23T02:04:40.0650916Z             
2022-11-23T02:04:40.0651022Z  - 
2022-11-23T02:04:40.0651198Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0651276Z             {
2022-11-23T02:04:40.0651466Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0651757Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0651923Z                 'obj_weakref': None
2022-11-23T02:04:40.0652226Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0652321Z             }
2022-11-23T02:04:40.0652417Z             
2022-11-23T02:04:40.0652503Z  - 
2022-11-23T02:04:40.0652747Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.0652844Z             {
2022-11-23T02:04:40.0653085Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.0654345Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[4], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[5], 93849050129792)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T02:04:40.0654524Z                 'obj_weakref': None
2022-11-23T02:04:40.0654825Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.0654924Z             }
2022-11-23T02:04:40.0655024Z             
2022-11-23T02:04:40.0655111Z  - 
2022-11-23T02:04:40.0655363Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.0655457Z             {
2022-11-23T02:04:40.0655652Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0656506Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T02:04:40.0656831Z                 'obj_weakref': None
2022-11-23T02:04:40.0657335Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0657483Z             }
2022-11-23T02:04:40.0657612Z             
2022-11-23T02:04:40.0657782Z  - 
2022-11-23T02:04:40.0658209Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.0658310Z             {
2022-11-23T02:04:40.0658514Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0658894Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T02:04:40.0659065Z                 'obj_weakref': None
2022-11-23T02:04:40.0659349Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0659445Z             }
2022-11-23T02:04:40.0659539Z             
2022-11-23T02:04:40.0659645Z  - 
2022-11-23T02:04:40.0659900Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:40.0659996Z             {
2022-11-23T02:04:40.0660195Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0660549Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T02:04:40.0660717Z                 'obj_weakref': None
2022-11-23T02:04:40.0661014Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0661255Z             }
2022-11-23T02:04:40.0661350Z             
2022-11-23T02:04:40.0661460Z  - 
2022-11-23T02:04:40.0661711Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T02:04:40.0661787Z             {
2022-11-23T02:04:40.0661992Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0662365Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T02:04:40.0662533Z                 'obj_weakref': None
2022-11-23T02:04:40.0662828Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0662923Z             }
2022-11-23T02:04:40.0663017Z             
2022-11-23T02:04:40.0663103Z  - 
2022-11-23T02:04:40.0663355Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T02:04:40.0663451Z             {
2022-11-23T02:04:40.0663646Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0664023Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 93849050129792)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T02:04:40.0664189Z                 'obj_weakref': None
2022-11-23T02:04:40.0664549Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0664652Z             }
2022-11-23T02:04:40.0664728Z             
2022-11-23T02:04:40.0664896Z  - 
2022-11-23T02:04:40.0665148Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T02:04:40.0665244Z             {
2022-11-23T02:04:40.0665445Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0665814Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 93849050129792)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T02:04:40.0665982Z                 'obj_weakref': None
2022-11-23T02:04:40.0666261Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0666362Z             }
2022-11-23T02:04:40.0666456Z             
2022-11-23T02:04:40.0666813Z [2022-11-23 02:01:34,210] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 349
2022-11-23T02:04:40.0667298Z [2022-11-23 02:01:36,811] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nz/cnzoe6ljtoeozg36x3himhflenz2xsz4gtuqks4i24kdldq3bfio.py
2022-11-23T02:04:40.0667659Z [2022-11-23 02:01:36,812] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 349
2022-11-23T02:04:40.0667979Z [2022-11-23 02:01:36,818] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.0668401Z [2022-11-23 02:01:36,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.0668693Z [2022-11-23 02:01:36,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.0669018Z [2022-11-23 02:01:36,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.0669391Z [2022-11-23 02:01:36,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.0669822Z [2022-11-23 02:01:36,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0670289Z [2022-11-23 02:01:36,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0670721Z [2022-11-23 02:01:36,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0671221Z [2022-11-23 02:01:36,819] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T02:04:40.0671416Z  943           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.0671550Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:40.0671661Z               4 BINARY_ADD
2022-11-23T02:04:40.0671780Z               6 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.0671915Z               8 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.0672107Z              10 CALL_METHOD              1
2022-11-23T02:04:40.0672308Z              12 LOAD_FAST                1 (y)
2022-11-23T02:04:40.0672417Z              14 BINARY_ADD
2022-11-23T02:04:40.0672545Z              16 BUILD_TUPLE              1
2022-11-23T02:04:40.0672656Z              18 RETURN_VALUE
2022-11-23T02:04:40.0672730Z  
2022-11-23T02:04:40.0672751Z 
2022-11-23T02:04:40.0673172Z [2022-11-23 02:01:36,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T02:04:40.0673458Z [2022-11-23 02:01:36,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.0673781Z [2022-11-23 02:01:36,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.0674208Z [2022-11-23 02:01:36,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0674542Z [2022-11-23 02:01:36,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.0674915Z [2022-11-23 02:01:36,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.0675318Z [2022-11-23 02:01:36,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.0675635Z [2022-11-23 02:01:36,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.0676002Z [2022-11-23 02:01:36,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0676311Z [2022-11-23 02:01:36,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.0676647Z [2022-11-23 02:01:36,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0677151Z [2022-11-23 02:01:36,826] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T02:04:40.0677482Z [2022-11-23 02:01:36,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0677800Z [2022-11-23 02:01:36,827] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0678145Z [2022-11-23 02:01:36,829] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0678487Z [2022-11-23 02:01:36,836] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0678748Z [2022-11-23 02:01:36,836] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0678941Z  __compiled_fn_358 <eval_with_key>.2627 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0679055Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0679185Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.0679427Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:40.0679580Z call_method, view, view, (add, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T02:04:40.0679825Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.0679962Z output, output, output, ((add_1,),), {}
2022-11-23T02:04:40.0679983Z 
2022-11-23T02:04:40.0680417Z [2022-11-23 02:01:36,837] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0680622Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0680735Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0680861Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0680998Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0681123Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0681254Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0681369Z              12 RETURN_VALUE
2022-11-23T02:04:40.0681389Z 
2022-11-23T02:04:40.0681482Z  
2022-11-23T02:04:40.0681901Z [2022-11-23 02:01:36,837] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0682063Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_358)
2022-11-23T02:04:40.0682196Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0682329Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0682448Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0682577Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0682703Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.0682817Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.0682987Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.0683147Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.0683329Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.0683471Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.0683601Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.0683739Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.0683884Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0683995Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0684110Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.0684247Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.0684447Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0684589Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0684724Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0684832Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.0684961Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.0685095Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0685235Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0685365Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0685475Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.0685621Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.0685732Z              54 RETURN_VALUE
2022-11-23T02:04:40.0685752Z 
2022-11-23T02:04:40.0685845Z  
2022-11-23T02:04:40.0686089Z [2022-11-23 02:01:36,840] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0686202Z  - 
2022-11-23T02:04:40.0686373Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0686471Z             {
2022-11-23T02:04:40.0686671Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0686928Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.0687105Z                 'obj_weakref': None
2022-11-23T02:04:40.0687393Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0687494Z             }
2022-11-23T02:04:40.0687588Z             
2022-11-23T02:04:40.0687693Z  - 
2022-11-23T02:04:40.0687871Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0687969Z             {
2022-11-23T02:04:40.0688221Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0688375Z                 'code': None,
2022-11-23T02:04:40.0688666Z                 'obj_weakref': <weakref at 0x7fa51c2af8d0; to 'Tensor' at 0x7fa531fc31f0>
2022-11-23T02:04:40.0698211Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0698367Z             }
2022-11-23T02:04:40.0698472Z             
2022-11-23T02:04:40.0698640Z  - 
2022-11-23T02:04:40.0698854Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.0698962Z             {
2022-11-23T02:04:40.0699180Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0699344Z                 'code': None,
2022-11-23T02:04:40.0699623Z                 'obj_weakref': <weakref at 0x7fa51c2ae4d0; to 'Tensor' at 0x7fa52469f4c0>
2022-11-23T02:04:40.0699978Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0700081Z             }
2022-11-23T02:04:40.0700182Z             
2022-11-23T02:04:40.0700298Z  - 
2022-11-23T02:04:40.0700488Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0700590Z             {
2022-11-23T02:04:40.0700764Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0701005Z                 'code': ['___check_obj_id(model, 140347991889744)'],
2022-11-23T02:04:40.0701182Z                 'obj_weakref': None
2022-11-23T02:04:40.0701729Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0701841Z             }
2022-11-23T02:04:40.0701943Z             
2022-11-23T02:04:40.0702060Z  - 
2022-11-23T02:04:40.0702216Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0702323Z             {
2022-11-23T02:04:40.0702520Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0702827Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0703005Z                 'obj_weakref': None
2022-11-23T02:04:40.0703316Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0703424Z             }
2022-11-23T02:04:40.0703500Z             
2022-11-23T02:04:40.0703614Z  - 
2022-11-23T02:04:40.0703865Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.0703970Z             {
2022-11-23T02:04:40.0704213Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.0705418Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[4], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[5], 93849050129792)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T02:04:40.0705597Z                 'obj_weakref': None
2022-11-23T02:04:40.0705914Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.0706015Z             }
2022-11-23T02:04:40.0706091Z             
2022-11-23T02:04:40.0706202Z  - 
2022-11-23T02:04:40.0706463Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.0706567Z             {
2022-11-23T02:04:40.0706776Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0707161Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T02:04:40.0707334Z                 'obj_weakref': None
2022-11-23T02:04:40.0707618Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0707728Z             }
2022-11-23T02:04:40.0707827Z             
2022-11-23T02:04:40.0707944Z  - 
2022-11-23T02:04:40.0708355Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.0708461Z             {
2022-11-23T02:04:40.0708668Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0709027Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T02:04:40.0709201Z                 'obj_weakref': None
2022-11-23T02:04:40.0709508Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0709611Z             }
2022-11-23T02:04:40.0709713Z             
2022-11-23T02:04:40.0709825Z  - 
2022-11-23T02:04:40.0710079Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:40.0710183Z             {
2022-11-23T02:04:40.0710364Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0710745Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T02:04:40.0710925Z                 'obj_weakref': None
2022-11-23T02:04:40.0711234Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0711338Z             }
2022-11-23T02:04:40.0711498Z             
2022-11-23T02:04:40.0711616Z  - 
2022-11-23T02:04:40.0711849Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T02:04:40.0711952Z             {
2022-11-23T02:04:40.0712156Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0712534Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T02:04:40.0712711Z                 'obj_weakref': None
2022-11-23T02:04:40.0713019Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0713125Z             }
2022-11-23T02:04:40.0713205Z             
2022-11-23T02:04:40.0713316Z  - 
2022-11-23T02:04:40.0713575Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T02:04:40.0713678Z             {
2022-11-23T02:04:40.0713885Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0714268Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 93849050129792)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T02:04:40.0714443Z                 'obj_weakref': None
2022-11-23T02:04:40.0714748Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0714825Z             }
2022-11-23T02:04:40.0714924Z             
2022-11-23T02:04:40.0715043Z  - 
2022-11-23T02:04:40.0715299Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T02:04:40.0715401Z             {
2022-11-23T02:04:40.0715603Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0715985Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 93849050129792)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T02:04:40.0716140Z                 'obj_weakref': None
2022-11-23T02:04:40.0716446Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0716549Z             }
2022-11-23T02:04:40.0716652Z             
2022-11-23T02:04:40.0717018Z [2022-11-23 02:01:36,852] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 350
2022-11-23T02:04:40.0717511Z [2022-11-23 02:01:39,471] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3i/c3ibjxx5vo36orjwibjqfywfguge55man7rw6hbebkmbmyuwzykk.py
2022-11-23T02:04:40.0717879Z [2022-11-23 02:01:39,471] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 350
2022-11-23T02:04:40.0718212Z [2022-11-23 02:01:39,477] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.0718715Z [2022-11-23 02:01:39,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.0719023Z [2022-11-23 02:01:39,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.0719372Z [2022-11-23 02:01:39,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.0719754Z [2022-11-23 02:01:39,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.0720190Z [2022-11-23 02:01:39,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0720662Z [2022-11-23 02:01:39,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0721102Z [2022-11-23 02:01:39,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0721672Z [2022-11-23 02:01:39,479] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T02:04:40.0721820Z  940           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.0721966Z               2 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.0722085Z               4 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.0722218Z               6 CALL_METHOD              1
2022-11-23T02:04:40.0722354Z               8 LOAD_FAST                1 (y)
2022-11-23T02:04:40.0722472Z              10 BINARY_ADD
2022-11-23T02:04:40.0722611Z              12 BUILD_TUPLE              1
2022-11-23T02:04:40.0722736Z              14 RETURN_VALUE
2022-11-23T02:04:40.0722836Z  
2022-11-23T02:04:40.0722869Z 
2022-11-23T02:04:40.0723280Z [2022-11-23 02:01:39,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T02:04:40.0723586Z [2022-11-23 02:01:39,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.0723922Z [2022-11-23 02:01:39,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.0724304Z [2022-11-23 02:01:39,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.0724720Z [2022-11-23 02:01:39,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.0725054Z [2022-11-23 02:01:39,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.0725425Z [2022-11-23 02:01:39,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0725766Z [2022-11-23 02:01:39,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.0726108Z [2022-11-23 02:01:39,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0726634Z [2022-11-23 02:01:39,485] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T02:04:40.0726950Z [2022-11-23 02:01:39,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0727275Z [2022-11-23 02:01:39,485] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0727630Z [2022-11-23 02:01:39,487] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0727976Z [2022-11-23 02:01:39,493] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0728325Z [2022-11-23 02:01:39,493] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0728527Z  __compiled_fn_359 <eval_with_key>.2633 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0728670Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0728808Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.0728940Z call_method, view, view, (ex_0_, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T02:04:40.0729201Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.0729346Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.0729367Z 
2022-11-23T02:04:40.0729810Z [2022-11-23 02:01:39,494] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0729958Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0730098Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0730238Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0730377Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0730512Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0730645Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0730769Z              12 RETURN_VALUE
2022-11-23T02:04:40.0730848Z 
2022-11-23T02:04:40.0730950Z  
2022-11-23T02:04:40.0731368Z [2022-11-23 02:01:39,494] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0731532Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_359)
2022-11-23T02:04:40.0731673Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0731811Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0731930Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0732067Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0732196Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.0732289Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.0732433Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.0732652Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.0732841Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.0732988Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.0733124Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.0733278Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.0733432Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0733542Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0733659Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.0733792Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.0733931Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0734078Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0734219Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0734337Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.0734465Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.0734602Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0734748Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0734883Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0734998Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.0735147Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.0735262Z              54 RETURN_VALUE
2022-11-23T02:04:40.0735284Z 
2022-11-23T02:04:40.0735358Z  
2022-11-23T02:04:40.0735636Z [2022-11-23 02:01:39,497] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0735746Z  - 
2022-11-23T02:04:40.0735918Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0736486Z             {
2022-11-23T02:04:40.0736905Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0737578Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.0737840Z                 'obj_weakref': None
2022-11-23T02:04:40.0738307Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0738423Z             }
2022-11-23T02:04:40.0738530Z             
2022-11-23T02:04:40.0738644Z  - 
2022-11-23T02:04:40.0738827Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0738926Z             {
2022-11-23T02:04:40.0739104Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0739263Z                 'code': None,
2022-11-23T02:04:40.0739555Z                 'obj_weakref': <weakref at 0x7fa55a006c00; to 'Tensor' at 0x7fa531fc31f0>
2022-11-23T02:04:40.0739901Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0739999Z             }
2022-11-23T02:04:40.0740099Z             
2022-11-23T02:04:40.0740218Z  - 
2022-11-23T02:04:40.0740373Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.0740473Z             {
2022-11-23T02:04:40.0740675Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0740832Z                 'code': None,
2022-11-23T02:04:40.0741204Z                 'obj_weakref': <weakref at 0x7fa55a006de0; to 'Tensor' at 0x7fa5501472e0>
2022-11-23T02:04:40.0741565Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0741666Z             }
2022-11-23T02:04:40.0741769Z             
2022-11-23T02:04:40.0741857Z  - 
2022-11-23T02:04:40.0742047Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0742149Z             {
2022-11-23T02:04:40.0742341Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0742582Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.0742756Z                 'obj_weakref': None
2022-11-23T02:04:40.0743052Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0743155Z             }
2022-11-23T02:04:40.0743254Z             
2022-11-23T02:04:40.0743363Z  - 
2022-11-23T02:04:40.0743540Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0743647Z             {
2022-11-23T02:04:40.0743843Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0744114Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0744288Z                 'obj_weakref': None
2022-11-23T02:04:40.0744588Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0744688Z             }
2022-11-23T02:04:40.0744788Z             
2022-11-23T02:04:40.0744903Z  - 
2022-11-23T02:04:40.0745151Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.0745229Z             {
2022-11-23T02:04:40.0745461Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.0746666Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[4], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[5], 93849050129792)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T02:04:40.0746842Z                 'obj_weakref': None
2022-11-23T02:04:40.0747150Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.0747251Z             }
2022-11-23T02:04:40.0747351Z             
2022-11-23T02:04:40.0747530Z  - 
2022-11-23T02:04:40.0747792Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.0747869Z             {
2022-11-23T02:04:40.0748076Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0748459Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T02:04:40.0748634Z                 'obj_weakref': None
2022-11-23T02:04:40.0748938Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0749043Z             }
2022-11-23T02:04:40.0749142Z             
2022-11-23T02:04:40.0749254Z  - 
2022-11-23T02:04:40.0749485Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.0749586Z             {
2022-11-23T02:04:40.0749787Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0750166Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T02:04:40.0750347Z                 'obj_weakref': None
2022-11-23T02:04:40.0750649Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0750802Z             }
2022-11-23T02:04:40.0750885Z             
2022-11-23T02:04:40.0751035Z  - 
2022-11-23T02:04:40.0751292Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:40.0751392Z             {
2022-11-23T02:04:40.0751598Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0751977Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T02:04:40.0752153Z                 'obj_weakref': None
2022-11-23T02:04:40.0752432Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0752538Z             }
2022-11-23T02:04:40.0752643Z             
2022-11-23T02:04:40.0752749Z  - 
2022-11-23T02:04:40.0753007Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T02:04:40.0753105Z             {
2022-11-23T02:04:40.0753311Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0753670Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T02:04:40.0753847Z                 'obj_weakref': None
2022-11-23T02:04:40.0754150Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0754252Z             }
2022-11-23T02:04:40.0754351Z             
2022-11-23T02:04:40.0754462Z  - 
2022-11-23T02:04:40.0754714Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T02:04:40.0754814Z             {
2022-11-23T02:04:40.0754997Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0755382Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 93849050129792)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T02:04:40.0755555Z                 'obj_weakref': None
2022-11-23T02:04:40.0755858Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0755965Z             }
2022-11-23T02:04:40.0756064Z             
2022-11-23T02:04:40.0756177Z  - 
2022-11-23T02:04:40.0756407Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T02:04:40.0756509Z             {
2022-11-23T02:04:40.0756718Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0757099Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 93849050129792)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T02:04:40.0757272Z                 'obj_weakref': None
2022-11-23T02:04:40.0757580Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0757747Z             }
2022-11-23T02:04:40.0757825Z             
2022-11-23T02:04:40.0758196Z [2022-11-23 02:01:39,510] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 351
2022-11-23T02:04:40.0758224Z 
2022-11-23T02:04:40.0758370Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.0758478Z import torch
2022-11-23T02:04:40.0758586Z import random
2022-11-23T02:04:40.0758754Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.0758937Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.0758957Z 
2022-11-23T02:04:40.0759074Z aten = torch.ops.aten
2022-11-23T02:04:40.0759245Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.0759389Z async_compile = AsyncCompile()
2022-11-23T02:04:40.0759408Z 
2022-11-23T02:04:40.0759427Z 
2022-11-23T02:04:40.0759627Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.0759909Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.0760089Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.0760243Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.0760456Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.0760558Z {
2022-11-23T02:04:40.0760682Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.0760783Z     {
2022-11-23T02:04:40.0760908Z         #pragma omp for 
2022-11-23T02:04:40.0761040Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:40.0761143Z         {
2022-11-23T02:04:40.0761376Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.0761569Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.0761677Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.0761814Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.0761918Z         }
2022-11-23T02:04:40.0762066Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.0762191Z         for(long i0=32; i0<35; i0+=1)
2022-11-23T02:04:40.0762292Z         {
2022-11-23T02:04:40.0762421Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.0762524Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.0762656Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.0762775Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.0762871Z         }
2022-11-23T02:04:40.0762969Z     }
2022-11-23T02:04:40.0763069Z }
2022-11-23T02:04:40.0763182Z ''')
2022-11-23T02:04:40.0763227Z 
2022-11-23T02:04:40.0763246Z 
2022-11-23T02:04:40.0763360Z async_compile.wait(globals())
2022-11-23T02:04:40.0763474Z del async_compile
2022-11-23T02:04:40.0763494Z 
2022-11-23T02:04:40.0763605Z def call(args):
2022-11-23T02:04:40.0763724Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.0763839Z     args.clear()
2022-11-23T02:04:40.0764115Z     buf0 = empty_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0764350Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.0764435Z     del arg0_1
2022-11-23T02:04:40.0764539Z     del arg1_1
2022-11-23T02:04:40.0764653Z     return (buf0, )
2022-11-23T02:04:40.0764673Z 
2022-11-23T02:04:40.0764695Z 
2022-11-23T02:04:40.0764809Z if __name__ == "__main__":
2022-11-23T02:04:40.0764971Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.0765150Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.0765426Z     arg0_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0765707Z     arg1_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0765852Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.0765871Z 
2022-11-23T02:04:40.0765914Z 
2022-11-23T02:04:40.0766033Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.0766142Z import torch
2022-11-23T02:04:40.0766330Z import random
2022-11-23T02:04:40.0766502Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.0766679Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.0766699Z 
2022-11-23T02:04:40.0766821Z aten = torch.ops.aten
2022-11-23T02:04:40.0767020Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.0767136Z async_compile = AsyncCompile()
2022-11-23T02:04:40.0767155Z 
2022-11-23T02:04:40.0767175Z 
2022-11-23T02:04:40.0767374Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.0767662Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.0767840Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.0767998Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.0768150Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.0768249Z {
2022-11-23T02:04:40.0768371Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.0768482Z     {
2022-11-23T02:04:40.0768597Z         #pragma omp for 
2022-11-23T02:04:40.0768722Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:40.0768822Z         {
2022-11-23T02:04:40.0769022Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.0769272Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.0769468Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.0769572Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.0769697Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.0769831Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.0769930Z         }
2022-11-23T02:04:40.0770078Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.0770203Z         for(long i0=32; i0<35; i0+=1)
2022-11-23T02:04:40.0770302Z         {
2022-11-23T02:04:40.0770406Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.0770529Z             auto tmp3 = in_ptr1[i0];
2022-11-23T02:04:40.0770686Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.0770811Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.0770937Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.0771057Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:40.0771160Z         }
2022-11-23T02:04:40.0771235Z     }
2022-11-23T02:04:40.0771331Z }
2022-11-23T02:04:40.0771460Z ''')
2022-11-23T02:04:40.0771481Z 
2022-11-23T02:04:40.0771500Z 
2022-11-23T02:04:40.0771637Z async_compile.wait(globals())
2022-11-23T02:04:40.0771753Z del async_compile
2022-11-23T02:04:40.0771773Z 
2022-11-23T02:04:40.0771887Z def call(args):
2022-11-23T02:04:40.0772005Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.0772093Z     args.clear()
2022-11-23T02:04:40.0772374Z     buf0 = empty_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0772602Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.0772716Z     del arg0_1
2022-11-23T02:04:40.0772826Z     del arg1_1
2022-11-23T02:04:40.0772939Z     return (buf0, )
2022-11-23T02:04:40.0772958Z 
2022-11-23T02:04:40.0772977Z 
2022-11-23T02:04:40.0773098Z if __name__ == "__main__":
2022-11-23T02:04:40.0773248Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.0773434Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.0773702Z     arg0_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0773974Z     arg1_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0774139Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.0774158Z 
2022-11-23T02:04:40.0774177Z 
2022-11-23T02:04:40.0774317Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.0774426Z import torch
2022-11-23T02:04:40.0774539Z import random
2022-11-23T02:04:40.0774682Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.0774856Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.0774938Z 
2022-11-23T02:04:40.0775064Z aten = torch.ops.aten
2022-11-23T02:04:40.0775259Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.0775398Z async_compile = AsyncCompile()
2022-11-23T02:04:40.0775421Z 
2022-11-23T02:04:40.0775440Z 
2022-11-23T02:04:40.0775637Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.0775917Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.0776740Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.0776974Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.0777217Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.0777371Z {
2022-11-23T02:04:40.0777604Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.0777763Z     {
2022-11-23T02:04:40.0777953Z         #pragma omp for 
2022-11-23T02:04:40.0778150Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T02:04:40.0778287Z         {
2022-11-23T02:04:40.0778609Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.0778803Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.0779085Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.0779233Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.0779333Z         }
2022-11-23T02:04:40.0779474Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.0779604Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T02:04:40.0779680Z         {
2022-11-23T02:04:40.0779806Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.0779931Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.0780058Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.0780181Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.0780281Z         }
2022-11-23T02:04:40.0780354Z     }
2022-11-23T02:04:40.0780451Z }
2022-11-23T02:04:40.0780614Z ''')
2022-11-23T02:04:40.0780638Z 
2022-11-23T02:04:40.0780656Z 
2022-11-23T02:04:40.0780794Z async_compile.wait(globals())
2022-11-23T02:04:40.0780908Z del async_compile
2022-11-23T02:04:40.0780927Z 
2022-11-23T02:04:40.0781038Z def call(args):
2022-11-23T02:04:40.0781161Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.0781275Z     args.clear()
2022-11-23T02:04:40.0781583Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0781807Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.0781915Z     del arg0_1
2022-11-23T02:04:40.0782020Z     del arg1_1
2022-11-23T02:04:40.0782132Z     return (buf0, )
2022-11-23T02:04:40.0782152Z 
2022-11-23T02:04:40.0782170Z 
2022-11-23T02:04:40.0782282Z if __name__ == "__main__":
2022-11-23T02:04:40.0782448Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.0782601Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.0782886Z     arg0_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0783204Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0783378Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.0783397Z 
2022-11-23T02:04:40.0783416Z 
2022-11-23T02:04:40.0783555Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.0783665Z import torch
2022-11-23T02:04:40.0783775Z import random
2022-11-23T02:04:40.0783938Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.0784089Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.0784131Z 
2022-11-23T02:04:40.0784229Z aten = torch.ops.aten
2022-11-23T02:04:40.0784419Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.0784555Z async_compile = AsyncCompile()
2022-11-23T02:04:40.0784574Z 
2022-11-23T02:04:40.0784592Z 
2022-11-23T02:04:40.0784789Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.0785261Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.0785437Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.0785594Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.0785718Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.0785821Z {
2022-11-23T02:04:40.0785969Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.0786067Z     {
2022-11-23T02:04:40.0786186Z         #pragma omp for 
2022-11-23T02:04:40.0786314Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T02:04:40.0786416Z         {
2022-11-23T02:04:40.0786592Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.0786788Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.0786976Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.0787111Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.0787239Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.0787372Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.0787476Z         }
2022-11-23T02:04:40.0787670Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.0787784Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T02:04:40.0787885Z         {
2022-11-23T02:04:40.0788014Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.0788202Z             auto tmp3 = in_ptr1[i0];
2022-11-23T02:04:40.0788355Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.0788487Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.0788618Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.0788719Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:40.0788819Z         }
2022-11-23T02:04:40.0788917Z     }
2022-11-23T02:04:40.0789012Z }
2022-11-23T02:04:40.0789146Z ''')
2022-11-23T02:04:40.0789166Z 
2022-11-23T02:04:40.0789184Z 
2022-11-23T02:04:40.0789327Z async_compile.wait(globals())
2022-11-23T02:04:40.0789440Z del async_compile
2022-11-23T02:04:40.0789459Z 
2022-11-23T02:04:40.0789546Z def call(args):
2022-11-23T02:04:40.0789662Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.0789774Z     args.clear()
2022-11-23T02:04:40.0790102Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0790334Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.0790443Z     del arg0_1
2022-11-23T02:04:40.0790548Z     del arg1_1
2022-11-23T02:04:40.0790636Z     return (buf0, )
2022-11-23T02:04:40.0790655Z 
2022-11-23T02:04:40.0790693Z 
2022-11-23T02:04:40.0790787Z if __name__ == "__main__":
2022-11-23T02:04:40.0790954Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.0791131Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.0791409Z     arg0_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0791730Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0791898Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.0791917Z 
2022-11-23T02:04:40.0792422Z [2022-11-23 02:01:39,528] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6k/c6kamxwwsditf6asum7okymibmak4246stvqkfh4xr3i6l346ud4.py
2022-11-23T02:04:40.0792785Z [2022-11-23 02:01:39,528] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 351
2022-11-23T02:04:40.0793089Z [2022-11-23 02:01:39,534] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.0793515Z [2022-11-23 02:01:39,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.0793815Z [2022-11-23 02:01:39,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.0794245Z [2022-11-23 02:01:39,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.0794625Z [2022-11-23 02:01:39,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.0795058Z [2022-11-23 02:01:39,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0795523Z [2022-11-23 02:01:39,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0795955Z [2022-11-23 02:01:39,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0796461Z [2022-11-23 02:01:39,536] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T02:04:40.0796606Z  943           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.0796720Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:40.0796837Z               4 BINARY_ADD
2022-11-23T02:04:40.0797028Z               6 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.0797179Z               8 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.0797311Z              10 CALL_METHOD              1
2022-11-23T02:04:40.0797445Z              12 LOAD_FAST                1 (y)
2022-11-23T02:04:40.0797560Z              14 BINARY_ADD
2022-11-23T02:04:40.0797669Z              16 BUILD_TUPLE              1
2022-11-23T02:04:40.0797787Z              18 RETURN_VALUE
2022-11-23T02:04:40.0797887Z  
2022-11-23T02:04:40.0797907Z 
2022-11-23T02:04:40.0798336Z [2022-11-23 02:01:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T02:04:40.0798627Z [2022-11-23 02:01:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.0798962Z [2022-11-23 02:01:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.0799347Z [2022-11-23 02:01:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0799674Z [2022-11-23 02:01:39,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.0800051Z [2022-11-23 02:01:39,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.0800440Z [2022-11-23 02:01:39,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.0800763Z [2022-11-23 02:01:39,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.0801139Z [2022-11-23 02:01:39,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0801467Z [2022-11-23 02:01:39,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.0801812Z [2022-11-23 02:01:39,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0802321Z [2022-11-23 02:01:39,543] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T02:04:40.0802698Z [2022-11-23 02:01:39,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0803023Z [2022-11-23 02:01:39,543] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0803375Z [2022-11-23 02:01:39,545] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0803785Z [2022-11-23 02:01:39,552] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0804024Z [2022-11-23 02:01:39,553] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0804218Z  __compiled_fn_360 <eval_with_key>.2639 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0804354Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0804490Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.0804732Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:40.0804891Z call_method, view, view, (add, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T02:04:40.0805145Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.0805265Z output, output, output, ((add_1,),), {}
2022-11-23T02:04:40.0805286Z 
2022-11-23T02:04:40.0805724Z [2022-11-23 02:01:39,554] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0805875Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0806014Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0806147Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0806348Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0806484Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0806617Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0806711Z              12 RETURN_VALUE
2022-11-23T02:04:40.0806730Z 
2022-11-23T02:04:40.0806828Z  
2022-11-23T02:04:40.0807266Z [2022-11-23 02:01:39,554] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0807426Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_360)
2022-11-23T02:04:40.0807564Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0807700Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0807823Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0807953Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0808062Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.0808181Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.0808318Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.0808482Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.0808674Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.0808818Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.0808950Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.0809068Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.0809220Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0809351Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0809467Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.0809604Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.0809745Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0809890Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0810004Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0810123Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.0810274Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.0810414Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0810557Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0810691Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0810812Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.0810937Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.0811055Z              54 RETURN_VALUE
2022-11-23T02:04:40.0811075Z 
2022-11-23T02:04:40.0811171Z  
2022-11-23T02:04:40.0811432Z [2022-11-23 02:01:39,557] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0811615Z  - 
2022-11-23T02:04:40.0811787Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0811892Z             {
2022-11-23T02:04:40.0812069Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0812343Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.0812518Z                 'obj_weakref': None
2022-11-23T02:04:40.0812827Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0812930Z             }
2022-11-23T02:04:40.0813027Z             
2022-11-23T02:04:40.0813146Z  - 
2022-11-23T02:04:40.0813302Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0813400Z             {
2022-11-23T02:04:40.0813604Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0813762Z                 'code': None,
2022-11-23T02:04:40.0814107Z                 'obj_weakref': <weakref at 0x7fa51c2ae4d0; to 'Tensor' at 0x7fa531fc31f0>
2022-11-23T02:04:40.0814454Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0814556Z             }
2022-11-23T02:04:40.0814658Z             
2022-11-23T02:04:40.0814747Z  - 
2022-11-23T02:04:40.0814977Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.0815081Z             {
2022-11-23T02:04:40.0815287Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0815446Z                 'code': None,
2022-11-23T02:04:40.0815737Z                 'obj_weakref': <weakref at 0x7fa51c3bc720; to 'Tensor' at 0x7fa5501472e0>
2022-11-23T02:04:40.0816597Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0816743Z             }
2022-11-23T02:04:40.0816920Z             
2022-11-23T02:04:40.0817105Z  - 
2022-11-23T02:04:40.0817415Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0817571Z             {
2022-11-23T02:04:40.0817908Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0818209Z                 'code': ['___check_obj_id(model, 140347991889744)'],
2022-11-23T02:04:40.0818385Z                 'obj_weakref': None
2022-11-23T02:04:40.0818705Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0818808Z             }
2022-11-23T02:04:40.0818908Z             
2022-11-23T02:04:40.0819017Z  - 
2022-11-23T02:04:40.0819187Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0819264Z             {
2022-11-23T02:04:40.0819458Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0819751Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0819921Z                 'obj_weakref': None
2022-11-23T02:04:40.0820229Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0820331Z             }
2022-11-23T02:04:40.0820435Z             
2022-11-23T02:04:40.0820522Z  - 
2022-11-23T02:04:40.0820773Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.0820877Z             {
2022-11-23T02:04:40.0821117Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.0822313Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[4], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[5], 93849050129792)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T02:04:40.0822639Z                 'obj_weakref': None
2022-11-23T02:04:40.0822946Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.0823049Z             }
2022-11-23T02:04:40.0823148Z             
2022-11-23T02:04:40.0823261Z  - 
2022-11-23T02:04:40.0823497Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.0823598Z             {
2022-11-23T02:04:40.0823798Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0824179Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T02:04:40.0824350Z                 'obj_weakref': None
2022-11-23T02:04:40.0824655Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0824756Z             }
2022-11-23T02:04:40.0824832Z             
2022-11-23T02:04:40.0824946Z  - 
2022-11-23T02:04:40.0825206Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.0825310Z             {
2022-11-23T02:04:40.0825512Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0825964Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T02:04:40.0826145Z                 'obj_weakref': None
2022-11-23T02:04:40.0826427Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0826531Z             }
2022-11-23T02:04:40.0826631Z             
2022-11-23T02:04:40.0826741Z  - 
2022-11-23T02:04:40.0826998Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:40.0827102Z             {
2022-11-23T02:04:40.0827306Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0827659Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T02:04:40.0827836Z                 'obj_weakref': None
2022-11-23T02:04:40.0828136Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0828237Z             }
2022-11-23T02:04:40.0828340Z             
2022-11-23T02:04:40.0828451Z  - 
2022-11-23T02:04:40.0828707Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T02:04:40.0828784Z             {
2022-11-23T02:04:40.0828987Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0829367Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T02:04:40.0829585Z                 'obj_weakref': None
2022-11-23T02:04:40.0829932Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0830033Z             }
2022-11-23T02:04:40.0830145Z             
2022-11-23T02:04:40.0830256Z  - 
2022-11-23T02:04:40.0830488Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T02:04:40.0830589Z             {
2022-11-23T02:04:40.0830795Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0831170Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 93849050129792)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T02:04:40.0831342Z                 'obj_weakref': None
2022-11-23T02:04:40.0831652Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0831753Z             }
2022-11-23T02:04:40.0831830Z             
2022-11-23T02:04:40.0831942Z  - 
2022-11-23T02:04:40.0832197Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T02:04:40.0832299Z             {
2022-11-23T02:04:40.0832504Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0832887Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 93849050129792)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T02:04:40.0833126Z                 'obj_weakref': None
2022-11-23T02:04:40.0833409Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0833511Z             }
2022-11-23T02:04:40.0833614Z             
2022-11-23T02:04:40.0833975Z [2022-11-23 02:01:39,569] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 352
2022-11-23T02:04:40.0834480Z [2022-11-23 02:01:39,591] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ow/coweumzxbu3yb5rfpciermmoz4rixesmorzhywmkqhnorop7p2pe.py
2022-11-23T02:04:40.0834842Z [2022-11-23 02:01:39,592] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 352
2022-11-23T02:04:40.0835168Z [2022-11-23 02:01:39,597] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.0835605Z [2022-11-23 02:01:39,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.0835910Z [2022-11-23 02:01:39,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.0836286Z [2022-11-23 02:01:39,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.0836675Z [2022-11-23 02:01:39,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.0837101Z [2022-11-23 02:01:39,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0837570Z [2022-11-23 02:01:39,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0838012Z [2022-11-23 02:01:39,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0838533Z [2022-11-23 02:01:39,599] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T02:04:40.0838675Z  940           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.0838823Z               2 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.0838970Z               4 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.0839077Z               6 CALL_METHOD              1
2022-11-23T02:04:40.0839214Z               8 LOAD_FAST                1 (y)
2022-11-23T02:04:40.0839328Z              10 BINARY_ADD
2022-11-23T02:04:40.0839465Z              12 BUILD_TUPLE              1
2022-11-23T02:04:40.0839583Z              14 RETURN_VALUE
2022-11-23T02:04:40.0839681Z  
2022-11-23T02:04:40.0839705Z 
2022-11-23T02:04:40.0840140Z [2022-11-23 02:01:39,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T02:04:40.0840437Z [2022-11-23 02:01:39,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.0840752Z [2022-11-23 02:01:39,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.0841138Z [2022-11-23 02:01:39,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.0841547Z [2022-11-23 02:01:39,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.0841867Z [2022-11-23 02:01:39,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.0842236Z [2022-11-23 02:01:39,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0842642Z [2022-11-23 02:01:39,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.0842979Z [2022-11-23 02:01:39,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0843497Z [2022-11-23 02:01:39,604] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T02:04:40.0843835Z [2022-11-23 02:01:39,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0844158Z [2022-11-23 02:01:39,604] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0844481Z [2022-11-23 02:01:39,607] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0844824Z [2022-11-23 02:01:39,612] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0845103Z [2022-11-23 02:01:39,612] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0845294Z  __compiled_fn_361 <eval_with_key>.2645 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0845432Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0845617Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.0845773Z call_method, view, view, (ex_0_, [10, 5, 20]), {}
2022-11-23T02:04:40.0846028Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.0846146Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.0846167Z 
2022-11-23T02:04:40.0846607Z [2022-11-23 02:01:39,613] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0846748Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0846883Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0847015Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0847164Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0847292Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0847426Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0847522Z              12 RETURN_VALUE
2022-11-23T02:04:40.0847541Z 
2022-11-23T02:04:40.0847642Z  
2022-11-23T02:04:40.0848080Z [2022-11-23 02:01:39,613] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0848240Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_361)
2022-11-23T02:04:40.0848380Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0848515Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0848635Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0848744Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0848882Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.0848997Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.0849134Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.0849283Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.0849465Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.0849619Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.0849757Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.0849877Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.0850028Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0850162Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0850283Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.0850421Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.0850559Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0850704Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0850816Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0851044Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.0851196Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.0851336Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0851483Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0851617Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0851736Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.0851861Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.0851981Z              54 RETURN_VALUE
2022-11-23T02:04:40.0852001Z 
2022-11-23T02:04:40.0852100Z  
2022-11-23T02:04:40.0852376Z [2022-11-23 02:01:39,616] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0852489Z  - 
2022-11-23T02:04:40.0852662Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0852766Z             {
2022-11-23T02:04:40.0852943Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0853207Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.0853378Z                 'obj_weakref': None
2022-11-23T02:04:40.0853690Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0853846Z             }
2022-11-23T02:04:40.0853954Z             
2022-11-23T02:04:40.0854068Z  - 
2022-11-23T02:04:40.0854227Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0854328Z             {
2022-11-23T02:04:40.0854531Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0854689Z                 'code': None,
2022-11-23T02:04:40.0854980Z                 'obj_weakref': <weakref at 0x7fa51c53fd30; to 'Tensor' at 0x7fa531fc31f0>
2022-11-23T02:04:40.0855335Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0855436Z             }
2022-11-23T02:04:40.0855512Z             
2022-11-23T02:04:40.0855635Z  - 
2022-11-23T02:04:40.0855822Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.0855923Z             {
2022-11-23T02:04:40.0856751Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0857041Z                 'code': None,
2022-11-23T02:04:40.0857533Z                 'obj_weakref': <weakref at 0x7fa51c53e570; to 'Tensor' at 0x7fa5321c1350>
2022-11-23T02:04:40.0858098Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0858253Z             }
2022-11-23T02:04:40.0858401Z             
2022-11-23T02:04:40.0858519Z  - 
2022-11-23T02:04:40.0858709Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0858808Z             {
2022-11-23T02:04:40.0859012Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0859225Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.0859397Z                 'obj_weakref': None
2022-11-23T02:04:40.0859710Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0859817Z             }
2022-11-23T02:04:40.0859918Z             
2022-11-23T02:04:40.0860031Z  - 
2022-11-23T02:04:40.0860205Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0860284Z             {
2022-11-23T02:04:40.0860486Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0860784Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0860960Z                 'obj_weakref': None
2022-11-23T02:04:40.0861265Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0861365Z             }
2022-11-23T02:04:40.0861466Z             
2022-11-23T02:04:40.0861553Z  - 
2022-11-23T02:04:40.0861799Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.0861900Z             {
2022-11-23T02:04:40.0862132Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.0863174Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents == [10, 5, 20]'],
2022-11-23T02:04:40.0863350Z                 'obj_weakref': None
2022-11-23T02:04:40.0863654Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.0863761Z             }
2022-11-23T02:04:40.0863861Z             
2022-11-23T02:04:40.0863955Z  - 
2022-11-23T02:04:40.0864216Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.0864319Z             {
2022-11-23T02:04:40.0864527Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0864913Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T02:04:40.0865085Z                 'obj_weakref': None
2022-11-23T02:04:40.0865471Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0865557Z             }
2022-11-23T02:04:40.0865659Z             
2022-11-23T02:04:40.0865772Z  - 
2022-11-23T02:04:40.0866027Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.0866128Z             {
2022-11-23T02:04:40.0866329Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0866709Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 5'],
2022-11-23T02:04:40.0866859Z                 'obj_weakref': None
2022-11-23T02:04:40.0867166Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0867271Z             }
2022-11-23T02:04:40.0867370Z             
2022-11-23T02:04:40.0867481Z  - 
2022-11-23T02:04:40.0867748Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:40.0867852Z             {
2022-11-23T02:04:40.0868031Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0868417Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T02:04:40.0868596Z                 'obj_weakref': None
2022-11-23T02:04:40.0868900Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0868997Z             }
2022-11-23T02:04:40.0869098Z             
2022-11-23T02:04:40.0869462Z [2022-11-23 02:01:39,626] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 353
2022-11-23T02:04:40.0869966Z [2022-11-23 02:01:42,228] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ol/colqsfdtxjby2guuaptungnwx3sznbn5fwu7z6cndpcrjkpccx2u.py
2022-11-23T02:04:40.0870310Z [2022-11-23 02:01:42,229] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 353
2022-11-23T02:04:40.0870636Z [2022-11-23 02:01:42,234] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.0871059Z [2022-11-23 02:01:42,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.0871361Z [2022-11-23 02:01:42,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.0871706Z [2022-11-23 02:01:42,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.0872087Z [2022-11-23 02:01:42,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.0872586Z [2022-11-23 02:01:42,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0873055Z [2022-11-23 02:01:42,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0873493Z [2022-11-23 02:01:42,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0873998Z [2022-11-23 02:01:42,236] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T02:04:40.0874115Z  943           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.0874253Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:40.0874366Z               4 BINARY_ADD
2022-11-23T02:04:40.0874512Z               6 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.0874655Z               8 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.0874790Z              10 CALL_METHOD              1
2022-11-23T02:04:40.0874925Z              12 LOAD_FAST                1 (y)
2022-11-23T02:04:40.0875070Z              14 BINARY_ADD
2022-11-23T02:04:40.0875209Z              16 BUILD_TUPLE              1
2022-11-23T02:04:40.0875327Z              18 RETURN_VALUE
2022-11-23T02:04:40.0875427Z  
2022-11-23T02:04:40.0875452Z 
2022-11-23T02:04:40.0875884Z [2022-11-23 02:01:42,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T02:04:40.0876178Z [2022-11-23 02:01:42,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.0876505Z [2022-11-23 02:01:42,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.0876886Z [2022-11-23 02:01:42,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0877225Z [2022-11-23 02:01:42,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.0877584Z [2022-11-23 02:01:42,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.0878000Z [2022-11-23 02:01:42,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.0878323Z [2022-11-23 02:01:42,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.0878694Z [2022-11-23 02:01:42,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0879021Z [2022-11-23 02:01:42,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.0879356Z [2022-11-23 02:01:42,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0879879Z [2022-11-23 02:01:42,243] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T02:04:40.0880220Z [2022-11-23 02:01:42,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0880544Z [2022-11-23 02:01:42,243] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0880898Z [2022-11-23 02:01:42,245] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0881221Z [2022-11-23 02:01:42,252] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0881482Z [2022-11-23 02:01:42,252] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0881674Z  __compiled_fn_362 <eval_with_key>.2651 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0881886Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0882021Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.0882282Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:40.0882437Z call_method, view, view, (add, [10, 5, 20]), {}
2022-11-23T02:04:40.0882666Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.0882816Z output, output, output, ((add_1,),), {}
2022-11-23T02:04:40.0882837Z 
2022-11-23T02:04:40.0883278Z [2022-11-23 02:01:42,253] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0883421Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0883561Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0883691Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0883829Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0883968Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0884081Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0884197Z              12 RETURN_VALUE
2022-11-23T02:04:40.0884216Z 
2022-11-23T02:04:40.0884317Z  
2022-11-23T02:04:40.0884811Z [2022-11-23 02:01:42,253] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0884981Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_362)
2022-11-23T02:04:40.0885115Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0885250Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0885373Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0885483Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0885616Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.0885732Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.0885864Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.0886022Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.0886213Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.0886357Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.0886472Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.0886616Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.0886764Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0886902Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0887020Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.0887155Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.0887296Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0887418Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0887554Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0887674Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.0887831Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.0887973Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0888186Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0888332Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0888450Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.0888575Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.0888691Z              54 RETURN_VALUE
2022-11-23T02:04:40.0888711Z 
2022-11-23T02:04:40.0888810Z  
2022-11-23T02:04:40.0889083Z [2022-11-23 02:01:42,256] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0889202Z  - 
2022-11-23T02:04:40.0889377Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0889482Z             {
2022-11-23T02:04:40.0889664Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0889925Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.0890181Z                 'obj_weakref': None
2022-11-23T02:04:40.0890491Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0890596Z             }
2022-11-23T02:04:40.0890697Z             
2022-11-23T02:04:40.0890812Z  - 
2022-11-23T02:04:40.0890967Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0891068Z             {
2022-11-23T02:04:40.0891273Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0891429Z                 'code': None,
2022-11-23T02:04:40.0891720Z                 'obj_weakref': <weakref at 0x7fa51c53c860; to 'Tensor' at 0x7fa531fc31f0>
2022-11-23T02:04:40.0892068Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0892175Z             }
2022-11-23T02:04:40.0892251Z             
2022-11-23T02:04:40.0892363Z  - 
2022-11-23T02:04:40.0892541Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.0892647Z             {
2022-11-23T02:04:40.0892934Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0893092Z                 'code': None,
2022-11-23T02:04:40.0893458Z                 'obj_weakref': <weakref at 0x7fa51c1d4ef0; to 'Tensor' at 0x7fa51c2accc0>
2022-11-23T02:04:40.0893787Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0893888Z             }
2022-11-23T02:04:40.0893992Z             
2022-11-23T02:04:40.0894100Z  - 
2022-11-23T02:04:40.0894291Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0894395Z             {
2022-11-23T02:04:40.0894586Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0894796Z                 'code': ['___check_obj_id(model, 140347991889744)'],
2022-11-23T02:04:40.0894968Z                 'obj_weakref': None
2022-11-23T02:04:40.0895276Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0895390Z             }
2022-11-23T02:04:40.0895494Z             
2022-11-23T02:04:40.0895603Z  - 
2022-11-23T02:04:40.0895780Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0895856Z             {
2022-11-23T02:04:40.0896480Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0897035Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0897318Z                 'obj_weakref': None
2022-11-23T02:04:40.0897843Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0897981Z             }
2022-11-23T02:04:40.0898087Z             
2022-11-23T02:04:40.0898179Z  - 
2022-11-23T02:04:40.0898430Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.0898533Z             {
2022-11-23T02:04:40.0898765Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.0899610Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents == [10, 5, 20]'],
2022-11-23T02:04:40.0899785Z                 'obj_weakref': None
2022-11-23T02:04:40.0900088Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.0900189Z             }
2022-11-23T02:04:40.0900265Z             
2022-11-23T02:04:40.0900378Z  - 
2022-11-23T02:04:40.0900637Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.0900741Z             {
2022-11-23T02:04:40.0900942Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0901324Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T02:04:40.0901656Z                 'obj_weakref': None
2022-11-23T02:04:40.0901975Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0902054Z             }
2022-11-23T02:04:40.0902152Z             
2022-11-23T02:04:40.0902263Z  - 
2022-11-23T02:04:40.0902514Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.0902613Z             {
2022-11-23T02:04:40.0902814Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0903196Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 5'],
2022-11-23T02:04:40.0903347Z                 'obj_weakref': None
2022-11-23T02:04:40.0903649Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0903753Z             }
2022-11-23T02:04:40.0903857Z             
2022-11-23T02:04:40.0903967Z  - 
2022-11-23T02:04:40.0904221Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:40.0904323Z             {
2022-11-23T02:04:40.0904575Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0904970Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T02:04:40.0905140Z                 'obj_weakref': None
2022-11-23T02:04:40.0905443Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0905543Z             }
2022-11-23T02:04:40.0905647Z             
2022-11-23T02:04:40.0906007Z [2022-11-23 02:01:42,267] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 354
2022-11-23T02:04:40.0906479Z [2022-11-23 02:01:44,841] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dp/cdp3etn74rjtq4ke2r2khm4cizfbbhvnwhwecdgeycgqzvg74el3.py
2022-11-23T02:04:40.0906903Z [2022-11-23 02:01:44,842] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 354
2022-11-23T02:04:40.0907238Z [2022-11-23 02:01:44,847] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.0907662Z [2022-11-23 02:01:44,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.0907968Z [2022-11-23 02:01:44,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.0908312Z [2022-11-23 02:01:44,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.0908798Z [2022-11-23 02:01:44,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.0909227Z [2022-11-23 02:01:44,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0909698Z [2022-11-23 02:01:44,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0910135Z [2022-11-23 02:01:44,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0910650Z [2022-11-23 02:01:44,848] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T02:04:40.0910768Z  940           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.0910909Z               2 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.0911049Z               4 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.0911180Z               6 CALL_METHOD              1
2022-11-23T02:04:40.0911377Z               8 LOAD_FAST                1 (y)
2022-11-23T02:04:40.0911492Z              10 BINARY_ADD
2022-11-23T02:04:40.0911626Z              12 BUILD_TUPLE              1
2022-11-23T02:04:40.0911723Z              14 RETURN_VALUE
2022-11-23T02:04:40.0911819Z  
2022-11-23T02:04:40.0911846Z 
2022-11-23T02:04:40.0912273Z [2022-11-23 02:01:44,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T02:04:40.0912564Z [2022-11-23 02:01:44,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.0912895Z [2022-11-23 02:01:44,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.0913273Z [2022-11-23 02:01:44,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.0913684Z [2022-11-23 02:01:44,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.0914017Z [2022-11-23 02:01:44,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.0914438Z [2022-11-23 02:01:44,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0914748Z [2022-11-23 02:01:44,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.0915083Z [2022-11-23 02:01:44,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0915596Z [2022-11-23 02:01:44,853] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T02:04:40.0915937Z [2022-11-23 02:01:44,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0916256Z [2022-11-23 02:01:44,853] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0916604Z [2022-11-23 02:01:44,856] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0916957Z [2022-11-23 02:01:44,861] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0917225Z [2022-11-23 02:01:44,862] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0917421Z  __compiled_fn_363 <eval_with_key>.2657 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0917533Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0917663Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.0917806Z call_method, view, view, (ex_0_, [10]), {}
2022-11-23T02:04:40.0918059Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.0918209Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.0918231Z 
2022-11-23T02:04:40.0918676Z [2022-11-23 02:01:44,862] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0918828Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0918969Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0919081Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0919226Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0919356Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0919490Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0919607Z              12 RETURN_VALUE
2022-11-23T02:04:40.0919628Z 
2022-11-23T02:04:40.0919725Z  
2022-11-23T02:04:40.0920168Z [2022-11-23 02:01:44,863] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0920329Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_363)
2022-11-23T02:04:40.0920440Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0920684Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0920803Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0920939Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0921078Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.0921195Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.0921333Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.0921463Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.0921650Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.0921795Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.0921931Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.0922078Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.0922229Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0922365Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0922463Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.0922599Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.0922737Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0922932Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0923075Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0923203Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.0923357Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.0923496Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0923616Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0923748Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0923866Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.0924018Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.0924135Z              54 RETURN_VALUE
2022-11-23T02:04:40.0924160Z 
2022-11-23T02:04:40.0924258Z  
2022-11-23T02:04:40.0924535Z [2022-11-23 02:01:44,865] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0924624Z  - 
2022-11-23T02:04:40.0924798Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0924900Z             {
2022-11-23T02:04:40.0925105Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0925366Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.0925542Z                 'obj_weakref': None
2022-11-23T02:04:40.0925851Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0925930Z             }
2022-11-23T02:04:40.0926032Z             
2022-11-23T02:04:40.0926145Z  - 
2022-11-23T02:04:40.0926321Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0926419Z             {
2022-11-23T02:04:40.0926627Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0926786Z                 'code': None,
2022-11-23T02:04:40.0927058Z                 'obj_weakref': <weakref at 0x7fa55009a980; to 'Tensor' at 0x7fa531fc31f0>
2022-11-23T02:04:40.0927406Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0927510Z             }
2022-11-23T02:04:40.0927613Z             
2022-11-23T02:04:40.0927729Z  - 
2022-11-23T02:04:40.0927908Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.0928013Z             {
2022-11-23T02:04:40.0928191Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0928347Z                 'code': None,
2022-11-23T02:04:40.0928628Z                 'obj_weakref': <weakref at 0x7fa55009a070; to 'Tensor' at 0x7fa52469e4d0>
2022-11-23T02:04:40.0928968Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0929072Z             }
2022-11-23T02:04:40.0929167Z             
2022-11-23T02:04:40.0929279Z  - 
2022-11-23T02:04:40.0929521Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0929626Z             {
2022-11-23T02:04:40.0929819Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0930058Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.0930232Z                 'obj_weakref': None
2022-11-23T02:04:40.0930549Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0930649Z             }
2022-11-23T02:04:40.0930727Z             
2022-11-23T02:04:40.0930838Z  - 
2022-11-23T02:04:40.0931015Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0931117Z             {
2022-11-23T02:04:40.0931314Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0931606Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0931781Z                 'obj_weakref': None
2022-11-23T02:04:40.0932063Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0932166Z             }
2022-11-23T02:04:40.0932267Z             
2022-11-23T02:04:40.0932376Z  - 
2022-11-23T02:04:40.0932623Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.0932835Z             {
2022-11-23T02:04:40.0933084Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.0933653Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents == [10]'],
2022-11-23T02:04:40.0933826Z                 'obj_weakref': None
2022-11-23T02:04:40.0934131Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.0934237Z             }
2022-11-23T02:04:40.0934337Z             
2022-11-23T02:04:40.0934447Z  - 
2022-11-23T02:04:40.0934704Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.0934808Z             {
2022-11-23T02:04:40.0934989Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.0935382Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T02:04:40.0935555Z                 'obj_weakref': None
2022-11-23T02:04:40.0935864Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.0935964Z             }
2022-11-23T02:04:40.0936770Z             
2022-11-23T02:04:40.0937412Z [2022-11-23 02:01:44,877] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 355
2022-11-23T02:04:40.0937441Z 
2022-11-23T02:04:40.0937645Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.0937816Z import torch
2022-11-23T02:04:40.0937990Z import random
2022-11-23T02:04:40.0938276Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.0938546Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.0938567Z 
2022-11-23T02:04:40.0938692Z aten = torch.ops.aten
2022-11-23T02:04:40.0938883Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.0939030Z async_compile = AsyncCompile()
2022-11-23T02:04:40.0939049Z 
2022-11-23T02:04:40.0939068Z 
2022-11-23T02:04:40.0939249Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.0939532Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.0939707Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.0939867Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.0940011Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.0940112Z {
2022-11-23T02:04:40.0940259Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.0940334Z     {
2022-11-23T02:04:40.0940632Z         #pragma omp for 
2022-11-23T02:04:40.0940758Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T02:04:40.0940863Z         {
2022-11-23T02:04:40.0941094Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.0941292Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.0941423Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.0941559Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.0941636Z         }
2022-11-23T02:04:40.0941777Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.0941910Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T02:04:40.0942011Z         {
2022-11-23T02:04:40.0942138Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.0942264Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.0942388Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.0942487Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.0942588Z         }
2022-11-23T02:04:40.0942686Z     }
2022-11-23T02:04:40.0942783Z }
2022-11-23T02:04:40.0942922Z ''')
2022-11-23T02:04:40.0942942Z 
2022-11-23T02:04:40.0942960Z 
2022-11-23T02:04:40.0943103Z async_compile.wait(globals())
2022-11-23T02:04:40.0943219Z del async_compile
2022-11-23T02:04:40.0943238Z 
2022-11-23T02:04:40.0943396Z def call(args):
2022-11-23T02:04:40.0943526Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.0943636Z     args.clear()
2022-11-23T02:04:40.0943965Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0944198Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.0944306Z     del arg0_1
2022-11-23T02:04:40.0944413Z     del arg1_1
2022-11-23T02:04:40.0944502Z     return (buf0, )
2022-11-23T02:04:40.0944522Z 
2022-11-23T02:04:40.0944540Z 
2022-11-23T02:04:40.0944659Z if __name__ == "__main__":
2022-11-23T02:04:40.0944825Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.0945007Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.0945309Z     arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0945632Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0945800Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.0945819Z 
2022-11-23T02:04:40.0945839Z 
2022-11-23T02:04:40.0945982Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.0946069Z import torch
2022-11-23T02:04:40.0946179Z import random
2022-11-23T02:04:40.0946343Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.0946516Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.0946535Z 
2022-11-23T02:04:40.0946651Z aten = torch.ops.aten
2022-11-23T02:04:40.0946847Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.0946993Z async_compile = AsyncCompile()
2022-11-23T02:04:40.0947015Z 
2022-11-23T02:04:40.0947033Z 
2022-11-23T02:04:40.0947228Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.0947487Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.0947660Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.0947816Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.0947969Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.0948069Z {
2022-11-23T02:04:40.0948214Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.0948318Z     {
2022-11-23T02:04:40.0948413Z         #pragma omp for 
2022-11-23T02:04:40.0948539Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T02:04:40.0948640Z         {
2022-11-23T02:04:40.0948841Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.0949028Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.0949293Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.0949423Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.0949551Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.0949662Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.0949769Z         }
2022-11-23T02:04:40.0949911Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.0950045Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T02:04:40.0950147Z         {
2022-11-23T02:04:40.0950274Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.0950399Z             auto tmp3 = in_ptr1[i0];
2022-11-23T02:04:40.0950522Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.0950646Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.0950772Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.0950900Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:40.0950998Z         }
2022-11-23T02:04:40.0951099Z     }
2022-11-23T02:04:40.0951176Z }
2022-11-23T02:04:40.0951303Z ''')
2022-11-23T02:04:40.0951323Z 
2022-11-23T02:04:40.0951341Z 
2022-11-23T02:04:40.0951478Z async_compile.wait(globals())
2022-11-23T02:04:40.0951591Z del async_compile
2022-11-23T02:04:40.0951610Z 
2022-11-23T02:04:40.0951720Z def call(args):
2022-11-23T02:04:40.0951892Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.0952008Z     args.clear()
2022-11-23T02:04:40.0952335Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0952541Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.0952649Z     del arg0_1
2022-11-23T02:04:40.0952755Z     del arg1_1
2022-11-23T02:04:40.0952867Z     return (buf0, )
2022-11-23T02:04:40.0952888Z 
2022-11-23T02:04:40.0952906Z 
2022-11-23T02:04:40.0953020Z if __name__ == "__main__":
2022-11-23T02:04:40.0953184Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.0953364Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.0953675Z     arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0953972Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0954145Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.0954166Z 
2022-11-23T02:04:40.0954184Z 
2022-11-23T02:04:40.0954328Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.0954438Z import torch
2022-11-23T02:04:40.0954552Z import random
2022-11-23T02:04:40.0954718Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.0954892Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.0954911Z 
2022-11-23T02:04:40.0955029Z aten = torch.ops.aten
2022-11-23T02:04:40.0955196Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.0955336Z async_compile = AsyncCompile()
2022-11-23T02:04:40.0955356Z 
2022-11-23T02:04:40.0955378Z 
2022-11-23T02:04:40.0955571Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.0955855Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.0956026Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.0956178Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.0956329Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.0956426Z {
2022-11-23T02:04:40.0956547Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.0956646Z     {
2022-11-23T02:04:40.0956762Z         #pragma omp for 
2022-11-23T02:04:40.0956888Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T02:04:40.0956991Z         {
2022-11-23T02:04:40.0957191Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.0957377Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.0957482Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.0957690Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.0957793Z         }
2022-11-23T02:04:40.0957938Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.0958072Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T02:04:40.0958177Z         {
2022-11-23T02:04:40.0958305Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.0958405Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.0958532Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.0958654Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.0958756Z         }
2022-11-23T02:04:40.0958857Z     }
2022-11-23T02:04:40.0958953Z }
2022-11-23T02:04:40.0959062Z ''')
2022-11-23T02:04:40.0959107Z 
2022-11-23T02:04:40.0959126Z 
2022-11-23T02:04:40.0959237Z async_compile.wait(globals())
2022-11-23T02:04:40.0959357Z del async_compile
2022-11-23T02:04:40.0959376Z 
2022-11-23T02:04:40.0959488Z def call(args):
2022-11-23T02:04:40.0959604Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.0959722Z     args.clear()
2022-11-23T02:04:40.0960016Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0960246Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.0960380Z     del arg0_1
2022-11-23T02:04:40.0960493Z     del arg1_1
2022-11-23T02:04:40.0960606Z     return (buf0, )
2022-11-23T02:04:40.0960625Z 
2022-11-23T02:04:40.0960643Z 
2022-11-23T02:04:40.0960759Z if __name__ == "__main__":
2022-11-23T02:04:40.0960925Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.0961109Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.0961393Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0961682Z     arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0961828Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.0961853Z 
2022-11-23T02:04:40.0961898Z 
2022-11-23T02:04:40.0962015Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.0962126Z import torch
2022-11-23T02:04:40.0962281Z import random
2022-11-23T02:04:40.0962444Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.0962624Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.0962643Z 
2022-11-23T02:04:40.0962762Z aten = torch.ops.aten
2022-11-23T02:04:40.0962959Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.0963072Z async_compile = AsyncCompile()
2022-11-23T02:04:40.0963096Z 
2022-11-23T02:04:40.0963114Z 
2022-11-23T02:04:40.0963312Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.0963597Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.0963768Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.0963925Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.0964080Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.0964179Z {
2022-11-23T02:04:40.0964321Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.0964395Z     {
2022-11-23T02:04:40.0964511Z         #pragma omp for 
2022-11-23T02:04:40.0964649Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T02:04:40.0964750Z         {
2022-11-23T02:04:40.0964947Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.0965136Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.0965327Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.0965432Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.0965555Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.0965691Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.0965790Z         }
2022-11-23T02:04:40.0965928Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.0966058Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T02:04:40.0966227Z         {
2022-11-23T02:04:40.0966332Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.0966456Z             auto tmp3 = in_ptr1[i0];
2022-11-23T02:04:40.0966605Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.0966738Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.0966863Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.0966984Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:40.0967084Z         }
2022-11-23T02:04:40.0967159Z     }
2022-11-23T02:04:40.0967254Z }
2022-11-23T02:04:40.0967386Z ''')
2022-11-23T02:04:40.0967406Z 
2022-11-23T02:04:40.0967424Z 
2022-11-23T02:04:40.0967561Z async_compile.wait(globals())
2022-11-23T02:04:40.0967676Z del async_compile
2022-11-23T02:04:40.0967695Z 
2022-11-23T02:04:40.0967809Z def call(args):
2022-11-23T02:04:40.0967927Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.0968016Z     args.clear()
2022-11-23T02:04:40.0968311Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0968540Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.0968644Z     del arg0_1
2022-11-23T02:04:40.0968743Z     del arg1_1
2022-11-23T02:04:40.0968905Z     return (buf0, )
2022-11-23T02:04:40.0968925Z 
2022-11-23T02:04:40.0968943Z 
2022-11-23T02:04:40.0969060Z if __name__ == "__main__":
2022-11-23T02:04:40.0969219Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.0969373Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.0969650Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0969934Z     arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.0970098Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.0970118Z 
2022-11-23T02:04:40.0970604Z [2022-11-23 02:01:47,510] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2e/c2e5y4iojm5e3byd3hy6zxolqx5p73sfesidpp7rbyy6oduwy2ap.py
2022-11-23T02:04:40.0970968Z [2022-11-23 02:01:47,510] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 355
2022-11-23T02:04:40.0971294Z [2022-11-23 02:01:47,516] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.0971716Z [2022-11-23 02:01:47,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.0972009Z [2022-11-23 02:01:47,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.0972330Z [2022-11-23 02:01:47,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.0972700Z [2022-11-23 02:01:47,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.0973129Z [2022-11-23 02:01:47,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0973601Z [2022-11-23 02:01:47,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0974032Z [2022-11-23 02:01:47,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.0974532Z [2022-11-23 02:01:47,517] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T02:04:40.0974669Z  943           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.0974804Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:40.0974914Z               4 BINARY_ADD
2022-11-23T02:04:40.0975030Z               6 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.0975236Z               8 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.0975363Z              10 CALL_METHOD              1
2022-11-23T02:04:40.0975496Z              12 LOAD_FAST                1 (y)
2022-11-23T02:04:40.0975604Z              14 BINARY_ADD
2022-11-23T02:04:40.0975736Z              16 BUILD_TUPLE              1
2022-11-23T02:04:40.0975850Z              18 RETURN_VALUE
2022-11-23T02:04:40.0975924Z  
2022-11-23T02:04:40.0975943Z 
2022-11-23T02:04:40.0977202Z [2022-11-23 02:01:47,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T02:04:40.0977712Z [2022-11-23 02:01:47,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.0978264Z [2022-11-23 02:01:47,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.0978659Z [2022-11-23 02:01:47,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.0978991Z [2022-11-23 02:01:47,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.0979507Z [2022-11-23 02:01:47,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.0979933Z [2022-11-23 02:01:47,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.0980249Z [2022-11-23 02:01:47,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.0980611Z [2022-11-23 02:01:47,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.0980919Z [2022-11-23 02:01:47,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.0981248Z [2022-11-23 02:01:47,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0981754Z [2022-11-23 02:01:47,523] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T02:04:40.0982089Z [2022-11-23 02:01:47,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.0982402Z [2022-11-23 02:01:47,524] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.0982744Z [2022-11-23 02:01:47,526] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.0983076Z [2022-11-23 02:01:47,532] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.0983336Z [2022-11-23 02:01:47,533] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.0983525Z  __compiled_fn_364 <eval_with_key>.2663 opcode, name, target, args, kwargs
2022-11-23T02:04:40.0983641Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.0983764Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.0984001Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:40.0984139Z call_method, view, view, (add, [10]), {}
2022-11-23T02:04:40.0984388Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.0984526Z output, output, output, ((add_1,),), {}
2022-11-23T02:04:40.0984547Z 
2022-11-23T02:04:40.0984982Z [2022-11-23 02:01:47,534] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0985120Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0985232Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0985360Z               4 BUILD_MAP                0
2022-11-23T02:04:40.0985497Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.0985621Z               8 DICT_MERGE               1
2022-11-23T02:04:40.0985869Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.0985987Z              12 RETURN_VALUE
2022-11-23T02:04:40.0986006Z 
2022-11-23T02:04:40.0986099Z  
2022-11-23T02:04:40.0986520Z [2022-11-23 02:01:47,534] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.0986678Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_364)
2022-11-23T02:04:40.0986807Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0986936Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0987047Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.0987176Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.0987303Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.0987483Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.0987592Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.0987752Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.0987944Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.0988088Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.0988331Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.0988482Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.0988638Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.0988750Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0988867Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.0988998Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.0989141Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0989293Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0989431Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0989544Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.0989671Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.0989822Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.0989967Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.0990099Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.0990223Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.0990376Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.0990495Z              54 RETURN_VALUE
2022-11-23T02:04:40.0990515Z 
2022-11-23T02:04:40.0990609Z  
2022-11-23T02:04:40.0990858Z [2022-11-23 02:01:47,536] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.0990968Z  - 
2022-11-23T02:04:40.0991143Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.0991241Z             {
2022-11-23T02:04:40.0991448Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.0991708Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.0991885Z                 'obj_weakref': None
2022-11-23T02:04:40.0992177Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.0992276Z             }
2022-11-23T02:04:40.0992376Z             
2022-11-23T02:04:40.0992486Z  - 
2022-11-23T02:04:40.0992670Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.0992770Z             {
2022-11-23T02:04:40.0992950Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0993112Z                 'code': None,
2022-11-23T02:04:40.0993410Z                 'obj_weakref': <weakref at 0x7fa532311f80; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.0993762Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0993863Z             }
2022-11-23T02:04:40.0993965Z             
2022-11-23T02:04:40.0994081Z  - 
2022-11-23T02:04:40.0994238Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.0994336Z             {
2022-11-23T02:04:40.0994609Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.0994764Z                 'code': None,
2022-11-23T02:04:40.0995055Z                 'obj_weakref': <weakref at 0x7fa51c4089f0; to 'Tensor' at 0x7fa53c445ad0>
2022-11-23T02:04:40.0995403Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.0995508Z             }
2022-11-23T02:04:40.0995606Z             
2022-11-23T02:04:40.0995694Z  - 
2022-11-23T02:04:40.0995881Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.0995984Z             {
2022-11-23T02:04:40.0996172Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.0996408Z                 'code': ['___check_obj_id(model, 140347991889744)'],
2022-11-23T02:04:40.0996576Z                 'obj_weakref': None
2022-11-23T02:04:40.0996894Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.0996973Z             }
2022-11-23T02:04:40.0997078Z             
2022-11-23T02:04:40.0997188Z  - 
2022-11-23T02:04:40.0997362Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.0997466Z             {
2022-11-23T02:04:40.0997661Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.0997994Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.0998179Z                 'obj_weakref': None
2022-11-23T02:04:40.0998484Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.0998589Z             }
2022-11-23T02:04:40.0998687Z             
2022-11-23T02:04:40.0998793Z  - 
2022-11-23T02:04:40.0999042Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.0999120Z             {
2022-11-23T02:04:40.0999367Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.0999952Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents == [10]'],
2022-11-23T02:04:40.1000130Z                 'obj_weakref': None
2022-11-23T02:04:40.1000443Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1000545Z             }
2022-11-23T02:04:40.1000651Z             
2022-11-23T02:04:40.1000762Z  - 
2022-11-23T02:04:40.1000998Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1001099Z             {
2022-11-23T02:04:40.1001301Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1001685Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T02:04:40.1001857Z                 'obj_weakref': None
2022-11-23T02:04:40.1002164Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1002268Z             }
2022-11-23T02:04:40.1002370Z             
2022-11-23T02:04:40.1002708Z [2022-11-23 02:01:47,547] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 356
2022-11-23T02:04:40.1003201Z [2022-11-23 02:01:50,136] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eg/cegzawszdo2227un3qyqlz3lc7xhzccqgayza2spbc3zi7mjjvs6.py
2022-11-23T02:04:40.1003564Z [2022-11-23 02:01:50,136] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 356
2022-11-23T02:04:40.1003892Z [2022-11-23 02:01:50,142] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1004317Z [2022-11-23 02:01:50,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1004616Z [2022-11-23 02:01:50,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1005036Z [2022-11-23 02:01:50,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1005418Z [2022-11-23 02:01:50,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1005850Z [2022-11-23 02:01:50,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1006294Z [2022-11-23 02:01:50,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1006734Z [2022-11-23 02:01:50,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1007241Z [2022-11-23 02:01:50,143] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T02:04:40.1007392Z  940           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1007535Z               2 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1007728Z               4 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1007872Z               6 CALL_METHOD              1
2022-11-23T02:04:40.1008011Z               8 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1008127Z              10 BINARY_ADD
2022-11-23T02:04:40.1008240Z              12 BUILD_TUPLE              1
2022-11-23T02:04:40.1008359Z              14 RETURN_VALUE
2022-11-23T02:04:40.1008460Z  
2022-11-23T02:04:40.1008481Z 
2022-11-23T02:04:40.1008909Z [2022-11-23 02:01:50,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T02:04:40.1009198Z [2022-11-23 02:01:50,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1009531Z [2022-11-23 02:01:50,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1009919Z [2022-11-23 02:01:50,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1010335Z [2022-11-23 02:01:50,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1010645Z [2022-11-23 02:01:50,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1011019Z [2022-11-23 02:01:50,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1011349Z [2022-11-23 02:01:50,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1011680Z [2022-11-23 02:01:50,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1012196Z [2022-11-23 02:01:50,148] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T02:04:40.1012536Z [2022-11-23 02:01:50,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1012858Z [2022-11-23 02:01:50,148] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1013206Z [2022-11-23 02:01:50,150] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1013545Z [2022-11-23 02:01:50,156] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1013818Z [2022-11-23 02:01:50,157] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1013988Z  __compiled_fn_365 <eval_with_key>.2669 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1014126Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1014325Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1014473Z call_method, view, view, (ex_0_, [10, 100]), {}
2022-11-23T02:04:40.1014724Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1014868Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.1014888Z 
2022-11-23T02:04:40.1015330Z [2022-11-23 02:01:50,158] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1015472Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1015584Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1015715Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1015853Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1015983Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1016719Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1016936Z              12 RETURN_VALUE
2022-11-23T02:04:40.1016964Z 
2022-11-23T02:04:40.1017093Z  
2022-11-23T02:04:40.1017860Z [2022-11-23 02:01:50,158] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1018279Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_365)
2022-11-23T02:04:40.1018433Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1018562Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1018677Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1018808Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1018936Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1019048Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1019157Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1019305Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1019486Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1019630Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1019758Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1019895Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1020044Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1020156Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1020270Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1020399Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1020536Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1020683Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1020815Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1020929Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1021054Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1021186Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1021327Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1021455Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1021570Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1021713Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1021827Z              54 RETURN_VALUE
2022-11-23T02:04:40.1021847Z 
2022-11-23T02:04:40.1021921Z  
2022-11-23T02:04:40.1022190Z [2022-11-23 02:01:50,160] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1022298Z  - 
2022-11-23T02:04:40.1022467Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1022568Z             {
2022-11-23T02:04:40.1022766Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1023024Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1023174Z                 'obj_weakref': None
2022-11-23T02:04:40.1023482Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1023677Z             }
2022-11-23T02:04:40.1023773Z             
2022-11-23T02:04:40.1023880Z  - 
2022-11-23T02:04:40.1024060Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1024157Z             {
2022-11-23T02:04:40.1024338Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1024491Z                 'code': None,
2022-11-23T02:04:40.1024783Z                 'obj_weakref': <weakref at 0x7fa5500c55d0; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1025126Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1025229Z             }
2022-11-23T02:04:40.1025322Z             
2022-11-23T02:04:40.1025430Z  - 
2022-11-23T02:04:40.1025587Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1025686Z             {
2022-11-23T02:04:40.1025882Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1026036Z                 'code': None,
2022-11-23T02:04:40.1026326Z                 'obj_weakref': <weakref at 0x7fa5500c46d0; to 'Tensor' at 0x7fa550520db0>
2022-11-23T02:04:40.1026670Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1026820Z             }
2022-11-23T02:04:40.1026919Z             
2022-11-23T02:04:40.1027008Z  - 
2022-11-23T02:04:40.1027191Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1027288Z             {
2022-11-23T02:04:40.1027473Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1027706Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.1027876Z                 'obj_weakref': None
2022-11-23T02:04:40.1028182Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1028261Z             }
2022-11-23T02:04:40.1028354Z             
2022-11-23T02:04:40.1028458Z  - 
2022-11-23T02:04:40.1028633Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1028728Z             {
2022-11-23T02:04:40.1028917Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1029189Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1029356Z                 'obj_weakref': None
2022-11-23T02:04:40.1029655Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1029751Z             }
2022-11-23T02:04:40.1029850Z             
2022-11-23T02:04:40.1029955Z  - 
2022-11-23T02:04:40.1030197Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1030274Z             {
2022-11-23T02:04:40.1030506Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1031217Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents == [10, 100]'],
2022-11-23T02:04:40.1031395Z                 'obj_weakref': None
2022-11-23T02:04:40.1031702Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1031797Z             }
2022-11-23T02:04:40.1031897Z             
2022-11-23T02:04:40.1032004Z  - 
2022-11-23T02:04:40.1032237Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1032336Z             {
2022-11-23T02:04:40.1032536Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1032927Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T02:04:40.1033094Z                 'obj_weakref': None
2022-11-23T02:04:40.1033392Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1033555Z             }
2022-11-23T02:04:40.1033650Z             
2022-11-23T02:04:40.1033752Z  - 
2022-11-23T02:04:40.1034003Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1034091Z             {
2022-11-23T02:04:40.1034290Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1034672Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T02:04:40.1034840Z                 'obj_weakref': None
2022-11-23T02:04:40.1035139Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1035215Z             }
2022-11-23T02:04:40.1035311Z             
2022-11-23T02:04:40.1035668Z [2022-11-23 02:01:50,170] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 357
2022-11-23T02:04:40.1036160Z [2022-11-23 02:01:50,186] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eq/ceqidepqq57avvzemj7s7yuuzznswxe3flne6vgomkvi2a4qaykf.py
2022-11-23T02:04:40.1036520Z [2022-11-23 02:01:50,186] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 357
2022-11-23T02:04:40.1036895Z [2022-11-23 02:01:50,192] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1037330Z [2022-11-23 02:01:50,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1037631Z [2022-11-23 02:01:50,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1037969Z [2022-11-23 02:01:50,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1038321Z [2022-11-23 02:01:50,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1038754Z [2022-11-23 02:01:50,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1039220Z [2022-11-23 02:01:50,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1039657Z [2022-11-23 02:01:50,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1040157Z [2022-11-23 02:01:50,194] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T02:04:40.1040295Z  943           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1040426Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:40.1040538Z               4 BINARY_ADD
2022-11-23T02:04:40.1040679Z               6 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1040796Z               8 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1040923Z              10 CALL_METHOD              1
2022-11-23T02:04:40.1041053Z              12 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1041165Z              14 BINARY_ADD
2022-11-23T02:04:40.1041299Z              16 BUILD_TUPLE              1
2022-11-23T02:04:40.1041412Z              18 RETURN_VALUE
2022-11-23T02:04:40.1041506Z  
2022-11-23T02:04:40.1041528Z 
2022-11-23T02:04:40.1041932Z [2022-11-23 02:01:50,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T02:04:40.1042217Z [2022-11-23 02:01:50,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1042540Z [2022-11-23 02:01:50,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.1042918Z [2022-11-23 02:01:50,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1043322Z [2022-11-23 02:01:50,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1043705Z [2022-11-23 02:01:50,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1044112Z [2022-11-23 02:01:50,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1044437Z [2022-11-23 02:01:50,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1044801Z [2022-11-23 02:01:50,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1045126Z [2022-11-23 02:01:50,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1045440Z [2022-11-23 02:01:50,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1046000Z [2022-11-23 02:01:50,200] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T02:04:40.1046342Z [2022-11-23 02:01:50,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1046657Z [2022-11-23 02:01:50,200] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1047004Z [2022-11-23 02:01:50,203] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1047340Z [2022-11-23 02:01:50,209] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1047605Z [2022-11-23 02:01:50,210] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1047796Z  __compiled_fn_366 <eval_with_key>.2675 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1047937Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1048044Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1048285Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:40.1048429Z call_method, view, view, (add, [10, 100]), {}
2022-11-23T02:04:40.1048679Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1048818Z output, output, output, ((add_1,),), {}
2022-11-23T02:04:40.1048839Z 
2022-11-23T02:04:40.1049271Z [2022-11-23 02:01:50,211] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1049411Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1049542Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1049651Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1049784Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1049915Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1050045Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1050158Z              12 RETURN_VALUE
2022-11-23T02:04:40.1050177Z 
2022-11-23T02:04:40.1050270Z  
2022-11-23T02:04:40.1050703Z [2022-11-23 02:01:50,211] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1050860Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_366)
2022-11-23T02:04:40.1050972Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1051099Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1051212Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1051339Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1051463Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1051575Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1051703Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1051919Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1052101Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1052240Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1052373Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1052512Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1052658Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1052789Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1052883Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1053011Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1053145Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1053285Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1053415Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1053532Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1053677Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1053792Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1053928Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1054110Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1054229Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1054373Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1054484Z              54 RETURN_VALUE
2022-11-23T02:04:40.1054504Z 
2022-11-23T02:04:40.1054596Z  
2022-11-23T02:04:40.1054867Z [2022-11-23 02:01:50,213] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1054957Z  - 
2022-11-23T02:04:40.1055125Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1055222Z             {
2022-11-23T02:04:40.1055418Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1055677Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1055850Z                 'obj_weakref': None
2022-11-23T02:04:40.1056706Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1056853Z             }
2022-11-23T02:04:40.1057011Z             
2022-11-23T02:04:40.1057196Z  - 
2022-11-23T02:04:40.1057479Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1057629Z             {
2022-11-23T02:04:40.1057972Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1058202Z                 'code': None,
2022-11-23T02:04:40.1058502Z                 'obj_weakref': <weakref at 0x7fa52469d030; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1058843Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1058937Z             }
2022-11-23T02:04:40.1059033Z             
2022-11-23T02:04:40.1059140Z  - 
2022-11-23T02:04:40.1059314Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1059397Z             {
2022-11-23T02:04:40.1059594Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1059744Z                 'code': None,
2022-11-23T02:04:40.1060033Z                 'obj_weakref': <weakref at 0x7fa52469e020; to 'Tensor' at 0x7fa51c138a90>
2022-11-23T02:04:40.1060371Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1060467Z             }
2022-11-23T02:04:40.1060567Z             
2022-11-23T02:04:40.1060671Z  - 
2022-11-23T02:04:40.1060834Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1060933Z             {
2022-11-23T02:04:40.1061118Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1061349Z                 'code': ['___check_obj_id(model, 140347991889744)'],
2022-11-23T02:04:40.1061518Z                 'obj_weakref': None
2022-11-23T02:04:40.1061823Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1062076Z             }
2022-11-23T02:04:40.1062152Z             
2022-11-23T02:04:40.1062261Z  - 
2022-11-23T02:04:40.1062432Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1062528Z             {
2022-11-23T02:04:40.1062723Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1063016Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1063183Z                 'obj_weakref': None
2022-11-23T02:04:40.1063464Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1063563Z             }
2022-11-23T02:04:40.1063659Z             
2022-11-23T02:04:40.1063764Z  - 
2022-11-23T02:04:40.1064011Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1064108Z             {
2022-11-23T02:04:40.1064316Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1065108Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents == [10, 100]'],
2022-11-23T02:04:40.1065286Z                 'obj_weakref': None
2022-11-23T02:04:40.1065590Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1065685Z             }
2022-11-23T02:04:40.1065780Z             
2022-11-23T02:04:40.1065886Z  - 
2022-11-23T02:04:40.1066222Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1066316Z             {
2022-11-23T02:04:40.1066497Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1066878Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T02:04:40.1067051Z                 'obj_weakref': None
2022-11-23T02:04:40.1067352Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1067450Z             }
2022-11-23T02:04:40.1067548Z             
2022-11-23T02:04:40.1067657Z  - 
2022-11-23T02:04:40.1067888Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1067986Z             {
2022-11-23T02:04:40.1068182Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1068560Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T02:04:40.1068729Z                 'obj_weakref': None
2022-11-23T02:04:40.1069033Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1069132Z             }
2022-11-23T02:04:40.1069208Z             
2022-11-23T02:04:40.1069570Z [2022-11-23 02:01:50,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 358
2022-11-23T02:04:40.1070069Z [2022-11-23 02:01:50,265] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qr/cqrcbzfd5vflsubribjwybv4ugxzn6s5ku637ahf4smhqhap3yth.py
2022-11-23T02:04:40.1070426Z [2022-11-23 02:01:50,265] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 358
2022-11-23T02:04:40.1070746Z [2022-11-23 02:01:50,271] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1071167Z [2022-11-23 02:01:50,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1071462Z [2022-11-23 02:01:50,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1071802Z [2022-11-23 02:01:50,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1072246Z [2022-11-23 02:01:50,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1072684Z [2022-11-23 02:01:50,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1073127Z [2022-11-23 02:01:50,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1073560Z [2022-11-23 02:01:50,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1074059Z [2022-11-23 02:01:50,272] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T02:04:40.1074197Z  940           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1074339Z               2 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1074477Z               4 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1074605Z               6 CALL_METHOD              1
2022-11-23T02:04:40.1074785Z               8 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1074886Z              10 BINARY_ADD
2022-11-23T02:04:40.1075018Z              12 BUILD_TUPLE              1
2022-11-23T02:04:40.1075134Z              14 RETURN_VALUE
2022-11-23T02:04:40.1075229Z  
2022-11-23T02:04:40.1075253Z 
2022-11-23T02:04:40.1075677Z [2022-11-23 02:01:50,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T02:04:40.1075964Z [2022-11-23 02:01:50,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1076289Z [2022-11-23 02:01:50,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1076672Z [2022-11-23 02:01:50,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1077082Z [2022-11-23 02:01:50,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1077385Z [2022-11-23 02:01:50,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1077746Z [2022-11-23 02:01:50,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1078068Z [2022-11-23 02:01:50,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1078402Z [2022-11-23 02:01:50,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1078907Z [2022-11-23 02:01:50,277] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T02:04:40.1079242Z [2022-11-23 02:01:50,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1079568Z [2022-11-23 02:01:50,277] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1079914Z [2022-11-23 02:01:50,279] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1080251Z [2022-11-23 02:01:50,288] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1080494Z [2022-11-23 02:01:50,288] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1080688Z  __compiled_fn_367 <eval_with_key>.2681 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1080819Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1080946Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1081095Z call_method, view, view, (ex_0_, [4, 4]), {}
2022-11-23T02:04:40.1081504Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1081645Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.1081666Z 
2022-11-23T02:04:40.1082110Z [2022-11-23 02:01:50,289] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1082227Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1082366Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1082494Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1082632Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1082757Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1082888Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1083001Z              12 RETURN_VALUE
2022-11-23T02:04:40.1083021Z 
2022-11-23T02:04:40.1083112Z  
2022-11-23T02:04:40.1083529Z [2022-11-23 02:01:50,289] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1083691Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_367)
2022-11-23T02:04:40.1083823Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1084015Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1084136Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1084266Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1084394Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1084488Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1084614Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1084765Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1084946Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1085084Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1085213Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1085355Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1085481Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1085612Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1085731Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1085863Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1085996Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1086136Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1086265Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1086376Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1086502Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1086632Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1086772Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1086903Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1087020Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1087166Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1087275Z              54 RETURN_VALUE
2022-11-23T02:04:40.1087295Z 
2022-11-23T02:04:40.1087368Z  
2022-11-23T02:04:40.1087645Z [2022-11-23 02:01:50,291] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1087752Z  - 
2022-11-23T02:04:40.1087920Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1088017Z             {
2022-11-23T02:04:40.1088295Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1088556Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1088708Z                 'obj_weakref': None
2022-11-23T02:04:40.1089013Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1089117Z             }
2022-11-23T02:04:40.1089210Z             
2022-11-23T02:04:40.1089315Z  - 
2022-11-23T02:04:40.1089562Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1089659Z             {
2022-11-23T02:04:40.1089838Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1089991Z                 'code': None,
2022-11-23T02:04:40.1090286Z                 'obj_weakref': <weakref at 0x7fa51c2af650; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1090627Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1090724Z             }
2022-11-23T02:04:40.1090821Z             
2022-11-23T02:04:40.1090926Z  - 
2022-11-23T02:04:40.1091084Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1091181Z             {
2022-11-23T02:04:40.1091378Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1091534Z                 'code': None,
2022-11-23T02:04:40.1091821Z                 'obj_weakref': <weakref at 0x7fa5500e6610; to 'Tensor' at 0x7fa51c4c66b0>
2022-11-23T02:04:40.1092156Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1092262Z             }
2022-11-23T02:04:40.1092338Z             
2022-11-23T02:04:40.1092441Z  - 
2022-11-23T02:04:40.1092626Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1092790Z             {
2022-11-23T02:04:40.1092987Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1093220Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.1093386Z                 'obj_weakref': None
2022-11-23T02:04:40.1093676Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1093774Z             }
2022-11-23T02:04:40.1093868Z             
2022-11-23T02:04:40.1093973Z  - 
2022-11-23T02:04:40.1094142Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1094237Z             {
2022-11-23T02:04:40.1094429Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1094706Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1094874Z                 'obj_weakref': None
2022-11-23T02:04:40.1095180Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1095276Z             }
2022-11-23T02:04:40.1095374Z             
2022-11-23T02:04:40.1095477Z  - 
2022-11-23T02:04:40.1095724Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1095802Z             {
2022-11-23T02:04:40.1096553Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1097813Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents == [4, 4]'],
2022-11-23T02:04:40.1098110Z                 'obj_weakref': None
2022-11-23T02:04:40.1098423Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1098520Z             }
2022-11-23T02:04:40.1098617Z             
2022-11-23T02:04:40.1098730Z  - 
2022-11-23T02:04:40.1098963Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1099062Z             {
2022-11-23T02:04:40.1099262Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1099637Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T02:04:40.1099805Z                 'obj_weakref': None
2022-11-23T02:04:40.1100106Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1100204Z             }
2022-11-23T02:04:40.1100279Z             
2022-11-23T02:04:40.1100392Z  - 
2022-11-23T02:04:40.1100825Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1100921Z             {
2022-11-23T02:04:40.1101124Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1101507Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T02:04:40.1101676Z                 'obj_weakref': None
2022-11-23T02:04:40.1101978Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1102055Z             }
2022-11-23T02:04:40.1102151Z             
2022-11-23T02:04:40.1102505Z [2022-11-23 02:01:50,301] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 359
2022-11-23T02:04:40.1102530Z 
2022-11-23T02:04:40.1102666Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1102769Z import torch
2022-11-23T02:04:40.1102874Z import random
2022-11-23T02:04:40.1103043Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1103196Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1103216Z 
2022-11-23T02:04:40.1103334Z aten = torch.ops.aten
2022-11-23T02:04:40.1103590Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1103735Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1103755Z 
2022-11-23T02:04:40.1103773Z 
2022-11-23T02:04:40.1103967Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1104247Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1104413Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1104565Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1104692Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1104783Z {
2022-11-23T02:04:40.1104926Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1105020Z     {
2022-11-23T02:04:40.1105141Z         #pragma omp for 
2022-11-23T02:04:40.1105260Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:40.1105358Z         {
2022-11-23T02:04:40.1105569Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1105759Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1105883Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1106010Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1106105Z         }
2022-11-23T02:04:40.1106241Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1106360Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:40.1106435Z         {
2022-11-23T02:04:40.1106556Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1106676Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.1106795Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1106914Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.1107004Z         }
2022-11-23T02:04:40.1107100Z     }
2022-11-23T02:04:40.1107172Z }
2022-11-23T02:04:40.1107293Z ''')
2022-11-23T02:04:40.1107313Z 
2022-11-23T02:04:40.1107333Z 
2022-11-23T02:04:40.1107464Z async_compile.wait(globals())
2022-11-23T02:04:40.1107572Z del async_compile
2022-11-23T02:04:40.1107591Z 
2022-11-23T02:04:40.1107698Z def call(args):
2022-11-23T02:04:40.1107810Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1107915Z     args.clear()
2022-11-23T02:04:40.1108166Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1108397Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1108500Z     del arg0_1
2022-11-23T02:04:40.1108599Z     del arg1_1
2022-11-23T02:04:40.1108702Z     return (buf0, )
2022-11-23T02:04:40.1108722Z 
2022-11-23T02:04:40.1108741Z 
2022-11-23T02:04:40.1108853Z if __name__ == "__main__":
2022-11-23T02:04:40.1109014Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1109191Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1109526Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1109791Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1109958Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1109977Z 
2022-11-23T02:04:40.1109996Z 
2022-11-23T02:04:40.1110130Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1110235Z import torch
2022-11-23T02:04:40.1110343Z import random
2022-11-23T02:04:40.1110507Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1110676Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1110694Z 
2022-11-23T02:04:40.1110791Z aten = torch.ops.aten
2022-11-23T02:04:40.1110976Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1111111Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1111130Z 
2022-11-23T02:04:40.1111150Z 
2022-11-23T02:04:40.1111343Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1111622Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1111794Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1112000Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1112153Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1112227Z {
2022-11-23T02:04:40.1112369Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1112466Z     {
2022-11-23T02:04:40.1112584Z         #pragma omp for 
2022-11-23T02:04:40.1112706Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:40.1112802Z         {
2022-11-23T02:04:40.1112999Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1113162Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1113341Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.1113468Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1113592Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1113725Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1113819Z         }
2022-11-23T02:04:40.1113958Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1114059Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:40.1114153Z         {
2022-11-23T02:04:40.1114272Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1114388Z             auto tmp3 = in_ptr1[i0];
2022-11-23T02:04:40.1114531Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.1114652Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1114772Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1114871Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:40.1114964Z         }
2022-11-23T02:04:40.1115057Z     }
2022-11-23T02:04:40.1115148Z }
2022-11-23T02:04:40.1115275Z ''')
2022-11-23T02:04:40.1115294Z 
2022-11-23T02:04:40.1115318Z 
2022-11-23T02:04:40.1115447Z async_compile.wait(globals())
2022-11-23T02:04:40.1115557Z del async_compile
2022-11-23T02:04:40.1115576Z 
2022-11-23T02:04:40.1115662Z def call(args):
2022-11-23T02:04:40.1115775Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1115883Z     args.clear()
2022-11-23T02:04:40.1116153Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1116384Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1116486Z     del arg0_1
2022-11-23T02:04:40.1116585Z     del arg1_1
2022-11-23T02:04:40.1116672Z     return (buf0, )
2022-11-23T02:04:40.1116708Z 
2022-11-23T02:04:40.1116727Z 
2022-11-23T02:04:40.1116820Z if __name__ == "__main__":
2022-11-23T02:04:40.1116985Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1117160Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1117445Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1117807Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1117973Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1117992Z 
2022-11-23T02:04:40.1118010Z 
2022-11-23T02:04:40.1118150Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1118255Z import torch
2022-11-23T02:04:40.1118342Z import random
2022-11-23T02:04:40.1118506Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1118677Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1118696Z 
2022-11-23T02:04:40.1118812Z aten = torch.ops.aten
2022-11-23T02:04:40.1118998Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1119132Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1119153Z 
2022-11-23T02:04:40.1119171Z 
2022-11-23T02:04:40.1119357Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1119633Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1119788Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1119936Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1120135Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1120234Z {
2022-11-23T02:04:40.1120376Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1120474Z     {
2022-11-23T02:04:40.1120591Z         #pragma omp for 
2022-11-23T02:04:40.1120694Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T02:04:40.1120793Z         {
2022-11-23T02:04:40.1120986Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1121170Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1121293Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1121425Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1121526Z         }
2022-11-23T02:04:40.1121642Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1121773Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T02:04:40.1121871Z         {
2022-11-23T02:04:40.1121995Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1122112Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.1122244Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1122364Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.1122492Z         }
2022-11-23T02:04:40.1122584Z     }
2022-11-23T02:04:40.1122676Z }
2022-11-23T02:04:40.1122803Z ''')
2022-11-23T02:04:40.1122822Z 
2022-11-23T02:04:40.1122840Z 
2022-11-23T02:04:40.1122973Z async_compile.wait(globals())
2022-11-23T02:04:40.1123083Z del async_compile
2022-11-23T02:04:40.1123102Z 
2022-11-23T02:04:40.1123213Z def call(args):
2022-11-23T02:04:40.1123309Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1123416Z     args.clear()
2022-11-23T02:04:40.1123696Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1123928Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1124034Z     del arg0_1
2022-11-23T02:04:40.1124136Z     del arg1_1
2022-11-23T02:04:40.1124243Z     return (buf0, )
2022-11-23T02:04:40.1124262Z 
2022-11-23T02:04:40.1124280Z 
2022-11-23T02:04:40.1124395Z if __name__ == "__main__":
2022-11-23T02:04:40.1124539Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1124712Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1125021Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1125302Z     arg1_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1125469Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1125488Z 
2022-11-23T02:04:40.1125506Z 
2022-11-23T02:04:40.1125642Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1125748Z import torch
2022-11-23T02:04:40.1125914Z import random
2022-11-23T02:04:40.1126059Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1126230Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1126249Z 
2022-11-23T02:04:40.1126361Z aten = torch.ops.aten
2022-11-23T02:04:40.1126552Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1126683Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1126702Z 
2022-11-23T02:04:40.1126720Z 
2022-11-23T02:04:40.1126915Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1127190Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1127354Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1127487Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1127629Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1127721Z {
2022-11-23T02:04:40.1127858Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1127957Z     {
2022-11-23T02:04:40.1128072Z         #pragma omp for 
2022-11-23T02:04:40.1128193Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T02:04:40.1128273Z         {
2022-11-23T02:04:40.1128537Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1128730Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1128911Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.1129035Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1129154Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1129282Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1129356Z         }
2022-11-23T02:04:40.1129491Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1129618Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T02:04:40.1129714Z         {
2022-11-23T02:04:40.1129836Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1129961Z             auto tmp3 = in_ptr1[i0];
2022-11-23T02:04:40.1130101Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.1130202Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1130320Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1130440Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:40.1130530Z         }
2022-11-23T02:04:40.1130622Z     }
2022-11-23T02:04:40.1130711Z }
2022-11-23T02:04:40.1130835Z ''')
2022-11-23T02:04:40.1130855Z 
2022-11-23T02:04:40.1130873Z 
2022-11-23T02:04:40.1130987Z async_compile.wait(globals())
2022-11-23T02:04:40.1131096Z del async_compile
2022-11-23T02:04:40.1131115Z 
2022-11-23T02:04:40.1131219Z def call(args):
2022-11-23T02:04:40.1131333Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1131438Z     args.clear()
2022-11-23T02:04:40.1131717Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1131942Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1132032Z     del arg0_1
2022-11-23T02:04:40.1132133Z     del arg1_1
2022-11-23T02:04:40.1132237Z     return (buf0, )
2022-11-23T02:04:40.1132257Z 
2022-11-23T02:04:40.1132275Z 
2022-11-23T02:04:40.1132385Z if __name__ == "__main__":
2022-11-23T02:04:40.1132549Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1132726Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1133042Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1133319Z     arg1_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1133465Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1133502Z 
2022-11-23T02:04:40.1133978Z [2022-11-23 02:01:52,920] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2d/c2dy2ith6kl6rtxjeup3nfxdno2asmm62qotuksrti2zgzjwqbgz.py
2022-11-23T02:04:40.1134335Z [2022-11-23 02:01:52,920] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 359
2022-11-23T02:04:40.1134720Z [2022-11-23 02:01:52,926] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1135164Z [2022-11-23 02:01:52,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1135449Z [2022-11-23 02:01:52,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1135788Z [2022-11-23 02:01:52,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1136740Z [2022-11-23 02:01:52,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1137544Z [2022-11-23 02:01:52,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1138220Z [2022-11-23 02:01:52,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1138779Z [2022-11-23 02:01:52,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1139298Z [2022-11-23 02:01:52,928] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T02:04:40.1139435Z  943           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1139566Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:40.1139676Z               4 BINARY_ADD
2022-11-23T02:04:40.1139810Z               6 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1139946Z               8 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1140071Z              10 CALL_METHOD              1
2022-11-23T02:04:40.1140190Z              12 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1140300Z              14 BINARY_ADD
2022-11-23T02:04:40.1140428Z              16 BUILD_TUPLE              1
2022-11-23T02:04:40.1140544Z              18 RETURN_VALUE
2022-11-23T02:04:40.1140636Z  
2022-11-23T02:04:40.1140662Z 
2022-11-23T02:04:40.1141085Z [2022-11-23 02:01:52,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T02:04:40.1141372Z [2022-11-23 02:01:52,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1141695Z [2022-11-23 02:01:52,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.1142051Z [2022-11-23 02:01:52,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1142374Z [2022-11-23 02:01:52,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1142755Z [2022-11-23 02:01:52,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1143165Z [2022-11-23 02:01:52,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1143486Z [2022-11-23 02:01:52,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1143850Z [2022-11-23 02:01:52,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1144179Z [2022-11-23 02:01:52,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1144508Z [2022-11-23 02:01:52,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1145076Z [2022-11-23 02:01:52,934] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T02:04:40.1145497Z [2022-11-23 02:01:52,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1145802Z [2022-11-23 02:01:52,934] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1146150Z [2022-11-23 02:01:52,937] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1146483Z [2022-11-23 02:01:52,943] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1146743Z [2022-11-23 02:01:52,944] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1146933Z  __compiled_fn_368 <eval_with_key>.2687 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1147064Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1147188Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1147427Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:40.1147546Z call_method, view, view, (add, [4, 4]), {}
2022-11-23T02:04:40.1147791Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1147934Z output, output, output, ((add_1,),), {}
2022-11-23T02:04:40.1148006Z 
2022-11-23T02:04:40.1148458Z [2022-11-23 02:01:52,945] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1148596Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1148724Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1148854Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1148985Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1149091Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1149221Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1149332Z              12 RETURN_VALUE
2022-11-23T02:04:40.1149355Z 
2022-11-23T02:04:40.1149448Z  
2022-11-23T02:04:40.1149879Z [2022-11-23 02:01:52,945] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1150039Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_368)
2022-11-23T02:04:40.1150170Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1150302Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1150396Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1150526Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1150653Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1150767Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1150894Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1151040Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1151220Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1151345Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1151473Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1151610Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1151760Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1151889Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1152002Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1152130Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1152246Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1152388Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1152516Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1152631Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1152779Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1152911Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1153114Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1153222Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1153339Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1153493Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1153608Z              54 RETURN_VALUE
2022-11-23T02:04:40.1153628Z 
2022-11-23T02:04:40.1153722Z  
2022-11-23T02:04:40.1153990Z [2022-11-23 02:01:52,947] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1154097Z  - 
2022-11-23T02:04:40.1154266Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1154347Z             {
2022-11-23T02:04:40.1154547Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1154807Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1154977Z                 'obj_weakref': None
2022-11-23T02:04:40.1155287Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1155395Z             }
2022-11-23T02:04:40.1155494Z             
2022-11-23T02:04:40.1155581Z  - 
2022-11-23T02:04:40.1155760Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1155858Z             {
2022-11-23T02:04:40.1156110Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1156273Z                 'code': None,
2022-11-23T02:04:40.1156566Z                 'obj_weakref': <weakref at 0x7fa531f32020; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1156907Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1156986Z             }
2022-11-23T02:04:40.1157082Z             
2022-11-23T02:04:40.1157188Z  - 
2022-11-23T02:04:40.1157364Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1157460Z             {
2022-11-23T02:04:40.1157662Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1157816Z                 'code': None,
2022-11-23T02:04:40.1158087Z                 'obj_weakref': <weakref at 0x7fa531f32200; to 'Tensor' at 0x7fa531eb01d0>
2022-11-23T02:04:40.1158429Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1158527Z             }
2022-11-23T02:04:40.1158627Z             
2022-11-23T02:04:40.1158737Z  - 
2022-11-23T02:04:40.1158918Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1159017Z             {
2022-11-23T02:04:40.1159186Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1159420Z                 'code': ['___check_obj_id(model, 140347991889744)'],
2022-11-23T02:04:40.1159589Z                 'obj_weakref': None
2022-11-23T02:04:40.1159905Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1160003Z             }
2022-11-23T02:04:40.1160098Z             
2022-11-23T02:04:40.1160205Z  - 
2022-11-23T02:04:40.1160357Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1160465Z             {
2022-11-23T02:04:40.1160654Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1160943Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1161111Z                 'obj_weakref': None
2022-11-23T02:04:40.1161414Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1161510Z             }
2022-11-23T02:04:40.1161586Z             
2022-11-23T02:04:40.1161691Z  - 
2022-11-23T02:04:40.1161939Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1162033Z             {
2022-11-23T02:04:40.1162260Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1162969Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents == [4, 4]'],
2022-11-23T02:04:40.1163220Z                 'obj_weakref': None
2022-11-23T02:04:40.1163525Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1163603Z             }
2022-11-23T02:04:40.1163697Z             
2022-11-23T02:04:40.1163803Z  - 
2022-11-23T02:04:40.1164054Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1164149Z             {
2022-11-23T02:04:40.1164345Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1164721Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T02:04:40.1164868Z                 'obj_weakref': None
2022-11-23T02:04:40.1165166Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1165268Z             }
2022-11-23T02:04:40.1165365Z             
2022-11-23T02:04:40.1165469Z  - 
2022-11-23T02:04:40.1165720Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1165816Z             {
2022-11-23T02:04:40.1166051Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1166444Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T02:04:40.1166611Z                 'obj_weakref': None
2022-11-23T02:04:40.1166912Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1167010Z             }
2022-11-23T02:04:40.1167107Z             
2022-11-23T02:04:40.1167461Z [2022-11-23 02:01:52,959] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 360
2022-11-23T02:04:40.1167947Z [2022-11-23 02:01:55,623] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dv/cdvs6gxdc6lhue3r3myb4b5g2cffl4kxqu2qoiyftmmlc5fjiwbj.py
2022-11-23T02:04:40.1168293Z [2022-11-23 02:01:55,623] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 360
2022-11-23T02:04:40.1168617Z [2022-11-23 02:01:55,629] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1169044Z [2022-11-23 02:01:55,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1169337Z [2022-11-23 02:01:55,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1169680Z [2022-11-23 02:01:55,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1170049Z [2022-11-23 02:01:55,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1170479Z [2022-11-23 02:01:55,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1170944Z [2022-11-23 02:01:55,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1171375Z [2022-11-23 02:01:55,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1171872Z [2022-11-23 02:01:55,630] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T02:04:40.1171989Z  940           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1172128Z               2 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1172262Z               4 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1172386Z               6 CALL_METHOD              1
2022-11-23T02:04:40.1172590Z               8 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1172702Z              10 BINARY_ADD
2022-11-23T02:04:40.1172835Z              12 BUILD_TUPLE              1
2022-11-23T02:04:40.1172929Z              14 RETURN_VALUE
2022-11-23T02:04:40.1173027Z  
2022-11-23T02:04:40.1173047Z 
2022-11-23T02:04:40.1173477Z [2022-11-23 02:01:55,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T02:04:40.1173766Z [2022-11-23 02:01:55,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1174094Z [2022-11-23 02:01:55,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1174474Z [2022-11-23 02:01:55,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1174879Z [2022-11-23 02:01:55,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1175205Z [2022-11-23 02:01:55,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1175630Z [2022-11-23 02:01:55,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1175966Z [2022-11-23 02:01:55,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1177048Z [2022-11-23 02:01:55,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1177952Z [2022-11-23 02:01:55,636] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T02:04:40.1178358Z [2022-11-23 02:01:55,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1178681Z [2022-11-23 02:01:55,636] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1179028Z [2022-11-23 02:01:55,638] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1179367Z [2022-11-23 02:01:55,643] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1179625Z [2022-11-23 02:01:55,644] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1179814Z  __compiled_fn_369 <eval_with_key>.2693 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1179950Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1180057Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1180196Z call_method, view, view, (ex_0_, [35]), {}
2022-11-23T02:04:40.1180441Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1180580Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.1180604Z 
2022-11-23T02:04:40.1181037Z [2022-11-23 02:01:55,644] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1181174Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1181314Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1181422Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1181557Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1181680Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1181812Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1181927Z              12 RETURN_VALUE
2022-11-23T02:04:40.1181947Z 
2022-11-23T02:04:40.1182041Z  
2022-11-23T02:04:40.1182479Z [2022-11-23 02:01:55,645] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1182637Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_369)
2022-11-23T02:04:40.1182934Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1183067Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1183185Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1183315Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1183447Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1183566Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1183695Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1183824Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1184007Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1184147Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1184274Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1184412Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1184555Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1184691Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1184805Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1184914Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1185047Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1185259Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1185396Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1185507Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1185652Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1185784Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1185905Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1186033Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1186140Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1186283Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1186396Z              54 RETURN_VALUE
2022-11-23T02:04:40.1186420Z 
2022-11-23T02:04:40.1186508Z  
2022-11-23T02:04:40.1186773Z [2022-11-23 02:01:55,646] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1186861Z  - 
2022-11-23T02:04:40.1187026Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1187128Z             {
2022-11-23T02:04:40.1187326Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1187580Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1187748Z                 'obj_weakref': None
2022-11-23T02:04:40.1188052Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1188130Z             }
2022-11-23T02:04:40.1188225Z             
2022-11-23T02:04:40.1188388Z  - 
2022-11-23T02:04:40.1188567Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1188662Z             {
2022-11-23T02:04:40.1188861Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1189017Z                 'code': None,
2022-11-23T02:04:40.1189288Z                 'obj_weakref': <weakref at 0x7fa51c3e6bb0; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1189629Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1189729Z             }
2022-11-23T02:04:40.1189826Z             
2022-11-23T02:04:40.1189932Z  - 
2022-11-23T02:04:40.1190106Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1190206Z             {
2022-11-23T02:04:40.1190385Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1190535Z                 'code': None,
2022-11-23T02:04:40.1190817Z                 'obj_weakref': <weakref at 0x7fa51c159210; to 'Tensor' at 0x7fa51c350ae0>
2022-11-23T02:04:40.1191151Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1191244Z             }
2022-11-23T02:04:40.1191339Z             
2022-11-23T02:04:40.1191512Z  - 
2022-11-23T02:04:40.1191679Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1191775Z             {
2022-11-23T02:04:40.1191964Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1192196Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.1192368Z                 'obj_weakref': None
2022-11-23T02:04:40.1192679Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1192777Z             }
2022-11-23T02:04:40.1192852Z             
2022-11-23T02:04:40.1192963Z  - 
2022-11-23T02:04:40.1193136Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1193233Z             {
2022-11-23T02:04:40.1193423Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1193716Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1193884Z                 'obj_weakref': None
2022-11-23T02:04:40.1194169Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1194267Z             }
2022-11-23T02:04:40.1194361Z             
2022-11-23T02:04:40.1194465Z  - 
2022-11-23T02:04:40.1194760Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1194862Z             {
2022-11-23T02:04:40.1195100Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1195688Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents == [35]'],
2022-11-23T02:04:40.1195839Z                 'obj_weakref': None
2022-11-23T02:04:40.1196138Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1196235Z             }
2022-11-23T02:04:40.1196331Z             
2022-11-23T02:04:40.1196441Z  - 
2022-11-23T02:04:40.1196696Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1196793Z             {
2022-11-23T02:04:40.1196975Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1197358Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 35'],
2022-11-23T02:04:40.1197530Z                 'obj_weakref': None
2022-11-23T02:04:40.1197832Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1197926Z             }
2022-11-23T02:04:40.1198023Z             
2022-11-23T02:04:40.1198376Z [2022-11-23 02:01:55,656] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 361
2022-11-23T02:04:40.1198866Z [2022-11-23 02:01:55,669] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pl/cplww37p53qarilzokj6madhygbtb5xcnexyinfebdwgv4cf3mbb.py
2022-11-23T02:04:40.1199213Z [2022-11-23 02:01:55,669] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 361
2022-11-23T02:04:40.1199531Z [2022-11-23 02:01:55,675] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1199958Z [2022-11-23 02:01:55,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1200261Z [2022-11-23 02:01:55,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1200604Z [2022-11-23 02:01:55,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1200974Z [2022-11-23 02:01:55,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1201400Z [2022-11-23 02:01:55,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1201932Z [2022-11-23 02:01:55,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1202374Z [2022-11-23 02:01:55,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1202880Z [2022-11-23 02:01:55,676] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T02:04:40.1202997Z  943           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1203133Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:40.1203244Z               4 BINARY_ADD
2022-11-23T02:04:40.1203384Z               6 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1203520Z               8 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1203650Z              10 CALL_METHOD              1
2022-11-23T02:04:40.1203778Z              12 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1203867Z              14 BINARY_ADD
2022-11-23T02:04:40.1204066Z              16 BUILD_TUPLE              1
2022-11-23T02:04:40.1204223Z              18 RETURN_VALUE
2022-11-23T02:04:40.1204323Z  
2022-11-23T02:04:40.1204345Z 
2022-11-23T02:04:40.1204775Z [2022-11-23 02:01:55,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T02:04:40.1205056Z [2022-11-23 02:01:55,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1205381Z [2022-11-23 02:01:55,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.1205761Z [2022-11-23 02:01:55,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1206087Z [2022-11-23 02:01:55,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1206455Z [2022-11-23 02:01:55,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1206955Z [2022-11-23 02:01:55,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1207280Z [2022-11-23 02:01:55,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1207645Z [2022-11-23 02:01:55,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1207973Z [2022-11-23 02:01:55,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1208303Z [2022-11-23 02:01:55,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1208807Z [2022-11-23 02:01:55,683] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T02:04:40.1209149Z [2022-11-23 02:01:55,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1209466Z [2022-11-23 02:01:55,683] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1209786Z [2022-11-23 02:01:55,685] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1210127Z [2022-11-23 02:01:55,692] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1210387Z [2022-11-23 02:01:55,692] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1210573Z  __compiled_fn_370 <eval_with_key>.2699 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1210702Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1210827Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1211138Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:40.1211276Z call_method, view, view, (add, [35]), {}
2022-11-23T02:04:40.1211505Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1211650Z output, output, output, ((add_1,),), {}
2022-11-23T02:04:40.1211671Z 
2022-11-23T02:04:40.1212106Z [2022-11-23 02:01:55,693] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1212244Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1212384Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1212512Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1212647Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1212770Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1212878Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1212996Z              12 RETURN_VALUE
2022-11-23T02:04:40.1213016Z 
2022-11-23T02:04:40.1213108Z  
2022-11-23T02:04:40.1213538Z [2022-11-23 02:01:55,693] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1213754Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_370)
2022-11-23T02:04:40.1213893Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1214029Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1214143Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1214253Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1214382Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1214494Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1214622Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1214772Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1214954Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1215097Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1215204Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1215345Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1215492Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1215622Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1215735Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1215862Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1215996Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1216654Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1216864Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1217040Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1217272Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1217479Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1217711Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1217923Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1218045Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1218197Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1218308Z              54 RETURN_VALUE
2022-11-23T02:04:40.1218332Z 
2022-11-23T02:04:40.1218423Z  
2022-11-23T02:04:40.1218704Z [2022-11-23 02:01:55,695] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1218810Z  - 
2022-11-23T02:04:40.1218978Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1219076Z             {
2022-11-23T02:04:40.1219260Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1219517Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1219683Z                 'obj_weakref': None
2022-11-23T02:04:40.1219983Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1220259Z             }
2022-11-23T02:04:40.1220355Z             
2022-11-23T02:04:40.1220462Z  - 
2022-11-23T02:04:40.1220621Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1220716Z             {
2022-11-23T02:04:40.1220918Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1221070Z                 'code': None,
2022-11-23T02:04:40.1221357Z                 'obj_weakref': <weakref at 0x7fa532044630; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1221695Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1221791Z             }
2022-11-23T02:04:40.1221868Z             
2022-11-23T02:04:40.1221975Z  - 
2022-11-23T02:04:40.1222150Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1222247Z             {
2022-11-23T02:04:40.1222446Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1222602Z                 'code': None,
2022-11-23T02:04:40.1222887Z                 'obj_weakref': <weakref at 0x7fa532047e20; to 'Tensor' at 0x7fa51c15a840>
2022-11-23T02:04:40.1223339Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1223444Z             }
2022-11-23T02:04:40.1223539Z             
2022-11-23T02:04:40.1223647Z  - 
2022-11-23T02:04:40.1223830Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1223926Z             {
2022-11-23T02:04:40.1224113Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1224327Z                 'code': ['___check_obj_id(model, 140347991889744)'],
2022-11-23T02:04:40.1224493Z                 'obj_weakref': None
2022-11-23T02:04:40.1224851Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1224948Z             }
2022-11-23T02:04:40.1225043Z             
2022-11-23T02:04:40.1225151Z  - 
2022-11-23T02:04:40.1225326Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1225403Z             {
2022-11-23T02:04:40.1225589Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1225880Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1226046Z                 'obj_weakref': None
2022-11-23T02:04:40.1226352Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1226447Z             }
2022-11-23T02:04:40.1226543Z             
2022-11-23T02:04:40.1226629Z  - 
2022-11-23T02:04:40.1226871Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1226964Z             {
2022-11-23T02:04:40.1227193Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1227775Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents == [35]'],
2022-11-23T02:04:40.1227948Z                 'obj_weakref': None
2022-11-23T02:04:40.1228249Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1228345Z             }
2022-11-23T02:04:40.1228422Z             
2022-11-23T02:04:40.1228525Z  - 
2022-11-23T02:04:40.1228777Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1228872Z             {
2022-11-23T02:04:40.1229069Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1229447Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 35'],
2022-11-23T02:04:40.1229612Z                 'obj_weakref': None
2022-11-23T02:04:40.1229891Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1230045Z             }
2022-11-23T02:04:40.1230139Z             
2022-11-23T02:04:40.1230491Z [2022-11-23 02:01:55,707] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 362
2022-11-23T02:04:40.1230980Z [2022-11-23 02:01:55,735] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oc/cocox3lys37q3s4zhlfk5mvai7x2ieem3uxuuxkk2jcjkl5r5gba.py
2022-11-23T02:04:40.1231337Z [2022-11-23 02:01:55,735] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 362
2022-11-23T02:04:40.1231660Z [2022-11-23 02:01:55,740] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1232092Z [2022-11-23 02:01:55,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1232370Z [2022-11-23 02:01:55,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1232707Z [2022-11-23 02:01:55,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1233082Z [2022-11-23 02:01:55,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1233563Z [2022-11-23 02:01:55,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1234030Z [2022-11-23 02:01:55,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1234466Z [2022-11-23 02:01:55,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1234976Z [2022-11-23 02:01:55,742] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T02:04:40.1235119Z  940           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1235256Z               2 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1235393Z               4 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1235503Z               6 CALL_METHOD              1
2022-11-23T02:04:40.1235635Z               8 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1235745Z              10 BINARY_ADD
2022-11-23T02:04:40.1235874Z              12 BUILD_TUPLE              1
2022-11-23T02:04:40.1235987Z              14 RETURN_VALUE
2022-11-23T02:04:40.1236080Z  
2022-11-23T02:04:40.1236101Z 
2022-11-23T02:04:40.1236527Z [2022-11-23 02:01:55,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T02:04:40.1236794Z [2022-11-23 02:01:55,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1237123Z [2022-11-23 02:01:55,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1237519Z [2022-11-23 02:01:55,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1237935Z [2022-11-23 02:01:55,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1238258Z [2022-11-23 02:01:55,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1238627Z [2022-11-23 02:01:55,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1238956Z [2022-11-23 02:01:55,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1239288Z [2022-11-23 02:01:55,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1239791Z [2022-11-23 02:01:55,746] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T02:04:40.1240211Z [2022-11-23 02:01:55,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1240512Z [2022-11-23 02:01:55,746] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1240861Z [2022-11-23 02:01:55,749] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1241200Z [2022-11-23 02:01:55,754] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1241462Z [2022-11-23 02:01:55,755] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1241650Z  __compiled_fn_371 <eval_with_key>.2705 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1241787Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1241915Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1242058Z call_method, view, view, (ex_0_, [5040]), {}
2022-11-23T02:04:40.1242284Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1242423Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.1242444Z 
2022-11-23T02:04:40.1242930Z [2022-11-23 02:01:55,756] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1243071Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1243205Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1243330Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1243469Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1243593Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1243705Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1243819Z              12 RETURN_VALUE
2022-11-23T02:04:40.1243839Z 
2022-11-23T02:04:40.1243933Z  
2022-11-23T02:04:40.1244365Z [2022-11-23 02:01:55,756] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1244524Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_371)
2022-11-23T02:04:40.1244665Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1244798Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1244911Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1245021Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1245147Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1245259Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1245386Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1245537Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1245720Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1245865Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1245979Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1246122Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1246269Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1246408Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1246522Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1246657Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1246794Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1246916Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1247049Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1247163Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1247309Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1247443Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1247578Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1247817Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1247910Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1248054Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1248172Z              54 RETURN_VALUE
2022-11-23T02:04:40.1248194Z 
2022-11-23T02:04:40.1248286Z  
2022-11-23T02:04:40.1248554Z [2022-11-23 02:01:55,758] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1248661Z  - 
2022-11-23T02:04:40.1248831Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1248909Z             {
2022-11-23T02:04:40.1249107Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1249360Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1249532Z                 'obj_weakref': None
2022-11-23T02:04:40.1249838Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1249937Z             }
2022-11-23T02:04:40.1250042Z             
2022-11-23T02:04:40.1250129Z  - 
2022-11-23T02:04:40.1250306Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1250403Z             {
2022-11-23T02:04:40.1250599Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1250815Z                 'code': None,
2022-11-23T02:04:40.1251114Z                 'obj_weakref': <weakref at 0x7fa51c3bf470; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1251454Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1251551Z             }
2022-11-23T02:04:40.1251626Z             
2022-11-23T02:04:40.1251736Z  - 
2022-11-23T02:04:40.1251910Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1252008Z             {
2022-11-23T02:04:40.1252204Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1252357Z                 'code': None,
2022-11-23T02:04:40.1252625Z                 'obj_weakref': <weakref at 0x7fa51c351e40; to 'Tensor' at 0x7fa51c15a840>
2022-11-23T02:04:40.1252969Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1253066Z             }
2022-11-23T02:04:40.1253162Z             
2022-11-23T02:04:40.1253271Z  - 
2022-11-23T02:04:40.1253453Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1253552Z             {
2022-11-23T02:04:40.1253722Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1253957Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.1254123Z                 'obj_weakref': None
2022-11-23T02:04:40.1254431Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1254527Z             }
2022-11-23T02:04:40.1254629Z             
2022-11-23T02:04:40.1254738Z  - 
2022-11-23T02:04:40.1254890Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1254986Z             {
2022-11-23T02:04:40.1255183Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1255476Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1255643Z                 'obj_weakref': None
2022-11-23T02:04:40.1255945Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1256609Z             }
2022-11-23T02:04:40.1256771Z             
2022-11-23T02:04:40.1256947Z  - 
2022-11-23T02:04:40.1257366Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1257519Z             {
2022-11-23T02:04:40.1257901Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1258718Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents == [5040]'],
2022-11-23T02:04:40.1259075Z                 'obj_weakref': None
2022-11-23T02:04:40.1259377Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1259454Z             }
2022-11-23T02:04:40.1259553Z             
2022-11-23T02:04:40.1259665Z  - 
2022-11-23T02:04:40.1259918Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1260015Z             {
2022-11-23T02:04:40.1260215Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1260597Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 5040'],
2022-11-23T02:04:40.1260768Z                 'obj_weakref': None
2022-11-23T02:04:40.1261049Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1261147Z             }
2022-11-23T02:04:40.1261242Z             
2022-11-23T02:04:40.1261599Z [2022-11-23 02:01:55,768] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 363
2022-11-23T02:04:40.1261623Z 
2022-11-23T02:04:40.1261759Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1261863Z import torch
2022-11-23T02:04:40.1261968Z import random
2022-11-23T02:04:40.1262215Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1262400Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1262419Z 
2022-11-23T02:04:40.1262538Z aten = torch.ops.aten
2022-11-23T02:04:40.1262725Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1262858Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1262877Z 
2022-11-23T02:04:40.1262895Z 
2022-11-23T02:04:40.1263091Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1263369Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1263540Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1263673Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1263818Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1263912Z {
2022-11-23T02:04:40.1264056Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1264154Z     {
2022-11-23T02:04:40.1264271Z         #pragma omp for 
2022-11-23T02:04:40.1264392Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:40.1264468Z         {
2022-11-23T02:04:40.1264694Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1264876Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1265000Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1265130Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1265226Z         }
2022-11-23T02:04:40.1265361Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1265464Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T02:04:40.1265558Z         {
2022-11-23T02:04:40.1265683Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1265802Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.1265921Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1266037Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.1266133Z         }
2022-11-23T02:04:40.1266208Z     }
2022-11-23T02:04:40.1266298Z }
2022-11-23T02:04:40.1266418Z ''')
2022-11-23T02:04:40.1266438Z 
2022-11-23T02:04:40.1266456Z 
2022-11-23T02:04:40.1266588Z async_compile.wait(globals())
2022-11-23T02:04:40.1266696Z del async_compile
2022-11-23T02:04:40.1266715Z 
2022-11-23T02:04:40.1266820Z def call(args):
2022-11-23T02:04:40.1266932Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1267018Z     args.clear()
2022-11-23T02:04:40.1267283Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1267511Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1267613Z     del arg0_1
2022-11-23T02:04:40.1267780Z     del arg1_1
2022-11-23T02:04:40.1267889Z     return (buf0, )
2022-11-23T02:04:40.1267909Z 
2022-11-23T02:04:40.1267929Z 
2022-11-23T02:04:40.1268040Z if __name__ == "__main__":
2022-11-23T02:04:40.1268201Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1268360Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1268654Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1268920Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1269083Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1269102Z 
2022-11-23T02:04:40.1269121Z 
2022-11-23T02:04:40.1269258Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1269362Z import torch
2022-11-23T02:04:40.1269465Z import random
2022-11-23T02:04:40.1269631Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1269781Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1269803Z 
2022-11-23T02:04:40.1269920Z aten = torch.ops.aten
2022-11-23T02:04:40.1270105Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1270239Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1270258Z 
2022-11-23T02:04:40.1270323Z 
2022-11-23T02:04:40.1270519Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1270797Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1270973Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1271123Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1271249Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1271344Z {
2022-11-23T02:04:40.1271486Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1271582Z     {
2022-11-23T02:04:40.1271698Z         #pragma omp for 
2022-11-23T02:04:40.1271821Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:40.1271921Z         {
2022-11-23T02:04:40.1272096Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1272282Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1272467Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.1272591Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1272713Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1272844Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1272939Z         }
2022-11-23T02:04:40.1273056Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1273177Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T02:04:40.1273274Z         {
2022-11-23T02:04:40.1273394Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1273515Z             auto tmp3 = in_ptr1[i0];
2022-11-23T02:04:40.1273654Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.1273775Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1273881Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1273998Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:40.1274092Z         }
2022-11-23T02:04:40.1274183Z     }
2022-11-23T02:04:40.1274273Z }
2022-11-23T02:04:40.1274398Z ''')
2022-11-23T02:04:40.1274421Z 
2022-11-23T02:04:40.1274440Z 
2022-11-23T02:04:40.1274577Z async_compile.wait(globals())
2022-11-23T02:04:40.1274666Z del async_compile
2022-11-23T02:04:40.1274685Z 
2022-11-23T02:04:40.1274792Z def call(args):
2022-11-23T02:04:40.1274907Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1275015Z     args.clear()
2022-11-23T02:04:40.1275290Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1275514Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1275618Z     del arg0_1
2022-11-23T02:04:40.1275698Z     del arg1_1
2022-11-23T02:04:40.1275803Z     return (buf0, )
2022-11-23T02:04:40.1275884Z 
2022-11-23T02:04:40.1275902Z 
2022-11-23T02:04:40.1276019Z if __name__ == "__main__":
2022-11-23T02:04:40.1276182Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1276354Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1276646Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1276913Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1277076Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1277097Z 
2022-11-23T02:04:40.1277115Z 
2022-11-23T02:04:40.1277251Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1277337Z import torch
2022-11-23T02:04:40.1277444Z import random
2022-11-23T02:04:40.1277608Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1277777Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1277796Z 
2022-11-23T02:04:40.1277910Z aten = torch.ops.aten
2022-11-23T02:04:40.1278102Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1278231Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1278250Z 
2022-11-23T02:04:40.1278268Z 
2022-11-23T02:04:40.1278460Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1278776Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1278952Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1279100Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1279240Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1279335Z {
2022-11-23T02:04:40.1279476Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1279572Z     {
2022-11-23T02:04:40.1279667Z         #pragma omp for 
2022-11-23T02:04:40.1279788Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:40.1279885Z         {
2022-11-23T02:04:40.1280079Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1280269Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1280396Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1280524Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1280603Z         }
2022-11-23T02:04:40.1280742Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1280863Z         for(long i0=32; i0<35; i0+=1)
2022-11-23T02:04:40.1280954Z         {
2022-11-23T02:04:40.1281079Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1281201Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.1281322Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1281421Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.1281594Z         }
2022-11-23T02:04:40.1281689Z     }
2022-11-23T02:04:40.1281780Z }
2022-11-23T02:04:40.1281908Z ''')
2022-11-23T02:04:40.1281928Z 
2022-11-23T02:04:40.1281946Z 
2022-11-23T02:04:40.1282073Z async_compile.wait(globals())
2022-11-23T02:04:40.1282186Z del async_compile
2022-11-23T02:04:40.1282205Z 
2022-11-23T02:04:40.1282292Z def call(args):
2022-11-23T02:04:40.1282407Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1282513Z     args.clear()
2022-11-23T02:04:40.1282786Z     buf0 = empty_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1283017Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1283124Z     del arg0_1
2022-11-23T02:04:40.1283221Z     del arg1_1
2022-11-23T02:04:40.1283309Z     return (buf0, )
2022-11-23T02:04:40.1283328Z 
2022-11-23T02:04:40.1283366Z 
2022-11-23T02:04:40.1283461Z if __name__ == "__main__":
2022-11-23T02:04:40.1283621Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1283791Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1284060Z     arg0_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1284321Z     arg1_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1284554Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1284573Z 
2022-11-23T02:04:40.1284591Z 
2022-11-23T02:04:40.1284726Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1284829Z import torch
2022-11-23T02:04:40.1284920Z import random
2022-11-23T02:04:40.1285085Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1285254Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1285273Z 
2022-11-23T02:04:40.1285389Z aten = torch.ops.aten
2022-11-23T02:04:40.1285574Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1285706Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1285726Z 
2022-11-23T02:04:40.1285745Z 
2022-11-23T02:04:40.1285937Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1286195Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1286363Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1286515Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1286657Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1286751Z {
2022-11-23T02:04:40.1286955Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1287057Z     {
2022-11-23T02:04:40.1287154Z         #pragma omp for 
2022-11-23T02:04:40.1287272Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T02:04:40.1287367Z         {
2022-11-23T02:04:40.1287555Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1287735Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1287914Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.1288039Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1288159Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1288273Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1288435Z         }
2022-11-23T02:04:40.1288573Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1288693Z         for(long i0=32; i0<35; i0+=1)
2022-11-23T02:04:40.1288789Z         {
2022-11-23T02:04:40.1288911Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1289036Z             auto tmp3 = in_ptr1[i0];
2022-11-23T02:04:40.1289160Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.1289282Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1289402Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1289518Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:40.1289612Z         }
2022-11-23T02:04:40.1289705Z     }
2022-11-23T02:04:40.1289777Z }
2022-11-23T02:04:40.1289906Z ''')
2022-11-23T02:04:40.1289925Z 
2022-11-23T02:04:40.1289943Z 
2022-11-23T02:04:40.1290073Z async_compile.wait(globals())
2022-11-23T02:04:40.1290183Z del async_compile
2022-11-23T02:04:40.1290202Z 
2022-11-23T02:04:40.1290308Z def call(args):
2022-11-23T02:04:40.1290420Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1290530Z     args.clear()
2022-11-23T02:04:40.1290795Z     buf0 = empty_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1291000Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1291108Z     del arg0_1
2022-11-23T02:04:40.1291213Z     del arg1_1
2022-11-23T02:04:40.1291320Z     return (buf0, )
2022-11-23T02:04:40.1291340Z 
2022-11-23T02:04:40.1291358Z 
2022-11-23T02:04:40.1291471Z if __name__ == "__main__":
2022-11-23T02:04:40.1291634Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1291808Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1292078Z     arg0_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1292322Z     arg1_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1292487Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1292564Z 
2022-11-23T02:04:40.1293061Z [2022-11-23 02:01:55,781] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/iq/ciqs5vmystbe7wroymif6eu4g2zw2vs4gxkkhjcw6lg5jvnvx6qy.py
2022-11-23T02:04:40.1293428Z [2022-11-23 02:01:55,782] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 363
2022-11-23T02:04:40.1293754Z [2022-11-23 02:01:55,787] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1294176Z [2022-11-23 02:01:55,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1294472Z [2022-11-23 02:01:55,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1294811Z [2022-11-23 02:01:55,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1295182Z [2022-11-23 02:01:55,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1295598Z [2022-11-23 02:01:55,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1296657Z [2022-11-23 02:01:55,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1297481Z [2022-11-23 02:01:55,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1298174Z [2022-11-23 02:01:55,789] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T02:04:40.1298311Z  943           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1298444Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:40.1298552Z               4 BINARY_ADD
2022-11-23T02:04:40.1298695Z               6 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1298828Z               8 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1298934Z              10 CALL_METHOD              1
2022-11-23T02:04:40.1299069Z              12 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1299177Z              14 BINARY_ADD
2022-11-23T02:04:40.1299304Z              16 BUILD_TUPLE              1
2022-11-23T02:04:40.1299417Z              18 RETURN_VALUE
2022-11-23T02:04:40.1299507Z  
2022-11-23T02:04:40.1299530Z 
2022-11-23T02:04:40.1299953Z [2022-11-23 02:01:55,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T02:04:40.1300238Z [2022-11-23 02:01:55,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1300545Z [2022-11-23 02:01:55,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.1300925Z [2022-11-23 02:01:55,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1301251Z [2022-11-23 02:01:55,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1301627Z [2022-11-23 02:01:55,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1302030Z [2022-11-23 02:01:55,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1302350Z [2022-11-23 02:01:55,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1302710Z [2022-11-23 02:01:55,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1303030Z [2022-11-23 02:01:55,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1303468Z [2022-11-23 02:01:55,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1303995Z [2022-11-23 02:01:55,795] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T02:04:40.1304326Z [2022-11-23 02:01:55,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1304645Z [2022-11-23 02:01:55,795] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1304985Z [2022-11-23 02:01:55,798] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1305320Z [2022-11-23 02:01:55,805] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1305581Z [2022-11-23 02:01:55,805] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1305771Z  __compiled_fn_372 <eval_with_key>.2711 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1305903Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1306029Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1306314Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:40.1306462Z call_method, view, view, (add, [5040]), {}
2022-11-23T02:04:40.1306710Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1306852Z output, output, output, ((add_1,),), {}
2022-11-23T02:04:40.1306872Z 
2022-11-23T02:04:40.1307304Z [2022-11-23 02:01:55,806] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1307444Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1307575Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1307701Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1307822Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1307947Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1308077Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1308190Z              12 RETURN_VALUE
2022-11-23T02:04:40.1308210Z 
2022-11-23T02:04:40.1308303Z  
2022-11-23T02:04:40.1308733Z [2022-11-23 02:01:55,806] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1308889Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_372)
2022-11-23T02:04:40.1309001Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1309136Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1309249Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1309380Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1309509Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1309621Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1309752Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1309901Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1310066Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1310213Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1310340Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1310480Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1310629Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1310761Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1310873Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1310981Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1311116Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1311255Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1311385Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1311583Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1311728Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1311867Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1311992Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1312120Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1312233Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1312375Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1312487Z              54 RETURN_VALUE
2022-11-23T02:04:40.1312507Z 
2022-11-23T02:04:40.1312599Z  
2022-11-23T02:04:40.1312870Z [2022-11-23 02:01:55,808] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1312957Z  - 
2022-11-23T02:04:40.1313123Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1313221Z             {
2022-11-23T02:04:40.1313416Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1313675Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1313852Z                 'obj_weakref': None
2022-11-23T02:04:40.1314157Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1314309Z             }
2022-11-23T02:04:40.1314391Z             
2022-11-23T02:04:40.1314500Z  - 
2022-11-23T02:04:40.1314677Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1314772Z             {
2022-11-23T02:04:40.1314973Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1315128Z                 'code': None,
2022-11-23T02:04:40.1315402Z                 'obj_weakref': <weakref at 0x7fa5500e5e40; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1315746Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1315843Z             }
2022-11-23T02:04:40.1315937Z             
2022-11-23T02:04:40.1316043Z  - 
2022-11-23T02:04:40.1316220Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1316315Z             {
2022-11-23T02:04:40.1316497Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1316649Z                 'code': None,
2022-11-23T02:04:40.1316939Z                 'obj_weakref': <weakref at 0x7fa5500c4630; to 'Tensor' at 0x7fa532311f80>
2022-11-23T02:04:40.1317280Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1317378Z             }
2022-11-23T02:04:40.1317475Z             
2022-11-23T02:04:40.1317586Z  - 
2022-11-23T02:04:40.1317753Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1317852Z             {
2022-11-23T02:04:40.1318038Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1318271Z                 'code': ['___check_obj_id(model, 140347991889744)'],
2022-11-23T02:04:40.1318441Z                 'obj_weakref': None
2022-11-23T02:04:40.1318749Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1318851Z             }
2022-11-23T02:04:40.1318928Z             
2022-11-23T02:04:40.1319036Z  - 
2022-11-23T02:04:40.1319207Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1319305Z             {
2022-11-23T02:04:40.1319501Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1319792Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1319957Z                 'obj_weakref': None
2022-11-23T02:04:40.1320257Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1320334Z             }
2022-11-23T02:04:40.1320428Z             
2022-11-23T02:04:40.1320531Z  - 
2022-11-23T02:04:40.1320773Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1320868Z             {
2022-11-23T02:04:40.1321096Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1321760Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents == [5040]'],
2022-11-23T02:04:40.1321910Z                 'obj_weakref': None
2022-11-23T02:04:40.1322211Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1322307Z             }
2022-11-23T02:04:40.1322404Z             
2022-11-23T02:04:40.1322511Z  - 
2022-11-23T02:04:40.1322763Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1322859Z             {
2022-11-23T02:04:40.1323039Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1323418Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 5040'],
2022-11-23T02:04:40.1323589Z                 'obj_weakref': None
2022-11-23T02:04:40.1323891Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1323988Z             }
2022-11-23T02:04:40.1324082Z             
2022-11-23T02:04:40.1324486Z [2022-11-23 02:01:55,820] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 364
2022-11-23T02:04:40.1324984Z [2022-11-23 02:01:55,872] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fg/cfgi6v33dsbpaewq4irkkqmml33tslte7x3ctlrbkmzwioikj6tf.py
2022-11-23T02:04:40.1325325Z [2022-11-23 02:01:55,872] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 364
2022-11-23T02:04:40.1325647Z [2022-11-23 02:01:55,878] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1326068Z [2022-11-23 02:01:55,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1326367Z [2022-11-23 02:01:55,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1326705Z [2022-11-23 02:01:55,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1327073Z [2022-11-23 02:01:55,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1327497Z [2022-11-23 02:01:55,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1327958Z [2022-11-23 02:01:55,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1328388Z [2022-11-23 02:01:55,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1328897Z [2022-11-23 02:01:55,880] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T02:04:40.1329014Z  940           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1329156Z               2 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1329291Z               4 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1329420Z               6 CALL_METHOD              1
2022-11-23T02:04:40.1329552Z               8 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1329662Z              10 BINARY_ADD
2022-11-23T02:04:40.1329793Z              12 BUILD_TUPLE              1
2022-11-23T02:04:40.1329910Z              14 RETURN_VALUE
2022-11-23T02:04:40.1329984Z  
2022-11-23T02:04:40.1330004Z 
2022-11-23T02:04:40.1330429Z [2022-11-23 02:01:55,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T02:04:40.1330787Z [2022-11-23 02:01:55,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1331115Z [2022-11-23 02:01:55,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1331503Z [2022-11-23 02:01:55,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1331911Z [2022-11-23 02:01:55,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1332232Z [2022-11-23 02:01:55,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1332601Z [2022-11-23 02:01:55,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1332933Z [2022-11-23 02:01:55,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1333249Z [2022-11-23 02:01:55,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1333819Z [2022-11-23 02:01:55,885] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T02:04:40.1334168Z [2022-11-23 02:01:55,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1334486Z [2022-11-23 02:01:55,885] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1334834Z [2022-11-23 02:01:55,887] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1335172Z [2022-11-23 02:01:55,893] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1335427Z [2022-11-23 02:01:55,894] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1335622Z  __compiled_fn_373 <eval_with_key>.2717 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1335754Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1335862Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1336009Z call_method, view, view, (ex_0_, [6, 4, 5, 42]), {}
2022-11-23T02:04:40.1337107Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1337340Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.1337371Z 
2022-11-23T02:04:40.1338147Z [2022-11-23 02:01:55,895] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1338339Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1338474Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1338607Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1338724Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1338849Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1338984Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1339099Z              12 RETURN_VALUE
2022-11-23T02:04:40.1339119Z 
2022-11-23T02:04:40.1339216Z  
2022-11-23T02:04:40.1339659Z [2022-11-23 02:01:55,895] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1339816Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_373)
2022-11-23T02:04:40.1339929Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1340061Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1340175Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1340301Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1340430Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1340540Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1340665Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1340960Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1341147Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1341287Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1341419Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1341557Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1341704Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1341834Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1341947Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1342055Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1342190Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1342332Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1342462Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1342573Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1342718Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1342847Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1342967Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1343170Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1343290Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1343432Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1343543Z              54 RETURN_VALUE
2022-11-23T02:04:40.1343563Z 
2022-11-23T02:04:40.1343654Z  
2022-11-23T02:04:40.1343912Z [2022-11-23 02:01:55,898] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1344000Z  - 
2022-11-23T02:04:40.1344168Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1344270Z             {
2022-11-23T02:04:40.1344468Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1344722Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1344895Z                 'obj_weakref': None
2022-11-23T02:04:40.1345199Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1345296Z             }
2022-11-23T02:04:40.1345374Z             
2022-11-23T02:04:40.1345478Z  - 
2022-11-23T02:04:40.1345654Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1345751Z             {
2022-11-23T02:04:40.1345945Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1346094Z                 'code': None,
2022-11-23T02:04:40.1346360Z                 'obj_weakref': <weakref at 0x7fa51c511c60; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1346702Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1346798Z             }
2022-11-23T02:04:40.1346894Z             
2022-11-23T02:04:40.1347001Z  - 
2022-11-23T02:04:40.1347177Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1347272Z             {
2022-11-23T02:04:40.1347456Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1347609Z                 'code': None,
2022-11-23T02:04:40.1347893Z                 'obj_weakref': <weakref at 0x7fa51c5114e0; to 'Tensor' at 0x7fa532311f80>
2022-11-23T02:04:40.1348240Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1348339Z             }
2022-11-23T02:04:40.1348434Z             
2022-11-23T02:04:40.1348541Z  - 
2022-11-23T02:04:40.1348703Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1348798Z             {
2022-11-23T02:04:40.1348984Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1349217Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.1349385Z                 'obj_weakref': None
2022-11-23T02:04:40.1349693Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1349856Z             }
2022-11-23T02:04:40.1349932Z             
2022-11-23T02:04:40.1350040Z  - 
2022-11-23T02:04:40.1350213Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1350310Z             {
2022-11-23T02:04:40.1350497Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1350797Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1350967Z                 'obj_weakref': None
2022-11-23T02:04:40.1351249Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1351347Z             }
2022-11-23T02:04:40.1351443Z             
2022-11-23T02:04:40.1351549Z  - 
2022-11-23T02:04:40.1351793Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1351888Z             {
2022-11-23T02:04:40.1352120Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1353130Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents == [6, 4, 5, 42]'],
2022-11-23T02:04:40.1353315Z                 'obj_weakref': None
2022-11-23T02:04:40.1353599Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1353694Z             }
2022-11-23T02:04:40.1353788Z             
2022-11-23T02:04:40.1353892Z  - 
2022-11-23T02:04:40.1354148Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1354243Z             {
2022-11-23T02:04:40.1354442Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1354805Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 6'],
2022-11-23T02:04:40.1354974Z                 'obj_weakref': None
2022-11-23T02:04:40.1355279Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1355376Z             }
2022-11-23T02:04:40.1355472Z             
2022-11-23T02:04:40.1355580Z  - 
2022-11-23T02:04:40.1355830Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1355907Z             {
2022-11-23T02:04:40.1356108Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1356485Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T02:04:40.1356652Z                 'obj_weakref': None
2022-11-23T02:04:40.1356945Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1365733Z             }
2022-11-23T02:04:40.1365848Z             
2022-11-23T02:04:40.1365992Z  - 
2022-11-23T02:04:40.1366264Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:40.1366349Z             {
2022-11-23T02:04:40.1366549Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1366918Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 5'],
2022-11-23T02:04:40.1367078Z                 'obj_weakref': None
2022-11-23T02:04:40.1367397Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1367502Z             }
2022-11-23T02:04:40.1367604Z             
2022-11-23T02:04:40.1367722Z  - 
2022-11-23T02:04:40.1367986Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T02:04:40.1368064Z             {
2022-11-23T02:04:40.1368273Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1368822Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents[3] == 42'],
2022-11-23T02:04:40.1368999Z                 'obj_weakref': None
2022-11-23T02:04:40.1369311Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1369415Z             }
2022-11-23T02:04:40.1369520Z             
2022-11-23T02:04:40.1369889Z [2022-11-23 02:01:55,908] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 365
2022-11-23T02:04:40.1370369Z [2022-11-23 02:01:55,929] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wi/cwieunufxuk7ntmnpbliohkazv5rxqe5odton7krensnwavdfiyu.py
2022-11-23T02:04:40.1370734Z [2022-11-23 02:01:55,930] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 365
2022-11-23T02:04:40.1371064Z [2022-11-23 02:01:55,935] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1371501Z [2022-11-23 02:01:55,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1371863Z [2022-11-23 02:01:55,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1372218Z [2022-11-23 02:01:55,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1372595Z [2022-11-23 02:01:55,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1373037Z [2022-11-23 02:01:55,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1373510Z [2022-11-23 02:01:55,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1373955Z [2022-11-23 02:01:55,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1374445Z [2022-11-23 02:01:55,937] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T02:04:40.1374593Z  943           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1374734Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:40.1374854Z               4 BINARY_ADD
2022-11-23T02:04:40.1374998Z               6 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1375144Z               8 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1375279Z              10 CALL_METHOD              1
2022-11-23T02:04:40.1375420Z              12 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1375511Z              14 BINARY_ADD
2022-11-23T02:04:40.1375655Z              16 BUILD_TUPLE              1
2022-11-23T02:04:40.1375776Z              18 RETURN_VALUE
2022-11-23T02:04:40.1375876Z  
2022-11-23T02:04:40.1375904Z 
2022-11-23T02:04:40.1377183Z [2022-11-23 02:01:55,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T02:04:40.1377706Z [2022-11-23 02:01:55,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1378273Z [2022-11-23 02:01:55,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.1378760Z [2022-11-23 02:01:55,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1379073Z [2022-11-23 02:01:55,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1379453Z [2022-11-23 02:01:55,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1380106Z [2022-11-23 02:01:55,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1380435Z [2022-11-23 02:01:55,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1380808Z [2022-11-23 02:01:55,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1381143Z [2022-11-23 02:01:55,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1381483Z [2022-11-23 02:01:55,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1381995Z [2022-11-23 02:01:55,944] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T02:04:40.1382460Z [2022-11-23 02:01:55,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1382787Z [2022-11-23 02:01:55,944] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1383188Z [2022-11-23 02:01:55,946] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1383552Z [2022-11-23 02:01:55,953] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1383817Z [2022-11-23 02:01:55,954] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1384014Z  __compiled_fn_374 <eval_with_key>.2723 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1384153Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1384286Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1384534Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:40.1384662Z call_method, view, view, (add, [6, 4, 5, 42]), {}
2022-11-23T02:04:40.1384927Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1385077Z output, output, output, ((add_1,),), {}
2022-11-23T02:04:40.1385100Z 
2022-11-23T02:04:40.1385545Z [2022-11-23 02:01:55,954] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1385693Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1385834Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1385972Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1386117Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1386224Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1386365Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1386489Z              12 RETURN_VALUE
2022-11-23T02:04:40.1386509Z 
2022-11-23T02:04:40.1386612Z  
2022-11-23T02:04:40.1387052Z [2022-11-23 02:01:55,955] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1387223Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_374)
2022-11-23T02:04:40.1387365Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1387512Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1387609Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1387746Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1387882Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1388001Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1388137Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1388298Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1388542Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1388665Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1388800Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1389041Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1389204Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1389352Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1389476Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1389613Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1389730Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1389881Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1390018Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1390142Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1390297Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1390440Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1390587Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1390725Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1390824Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1390974Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1391094Z              54 RETURN_VALUE
2022-11-23T02:04:40.1391115Z 
2022-11-23T02:04:40.1391214Z  
2022-11-23T02:04:40.1391551Z [2022-11-23 02:01:55,957] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1391672Z  - 
2022-11-23T02:04:40.1391848Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1391930Z             {
2022-11-23T02:04:40.1392134Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1392397Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1392572Z                 'obj_weakref': None
2022-11-23T02:04:40.1392885Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1392992Z             }
2022-11-23T02:04:40.1393094Z             
2022-11-23T02:04:40.1393183Z  - 
2022-11-23T02:04:40.1393371Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1393474Z             {
2022-11-23T02:04:40.1393692Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1393846Z                 'code': None,
2022-11-23T02:04:40.1394158Z                 'obj_weakref': <weakref at 0x7fa51c512e80; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1394511Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1394580Z             }
2022-11-23T02:04:40.1394683Z             
2022-11-23T02:04:40.1394795Z  - 
2022-11-23T02:04:40.1394977Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1395079Z             {
2022-11-23T02:04:40.1395285Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1395445Z                 'code': None,
2022-11-23T02:04:40.1395713Z                 'obj_weakref': <weakref at 0x7fa51c510db0; to 'Tensor' at 0x7fa532311f80>
2022-11-23T02:04:40.1396058Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1396166Z             }
2022-11-23T02:04:40.1396269Z             
2022-11-23T02:04:40.1396383Z  - 
2022-11-23T02:04:40.1396577Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1396682Z             {
2022-11-23T02:04:40.1396856Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1397096Z                 'code': ['___check_obj_id(model, 140347991889744)'],
2022-11-23T02:04:40.1397271Z                 'obj_weakref': None
2022-11-23T02:04:40.1397596Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1397704Z             }
2022-11-23T02:04:40.1397812Z             
2022-11-23T02:04:40.1397924Z  - 
2022-11-23T02:04:40.1398078Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1398186Z             {
2022-11-23T02:04:40.1398381Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1398762Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1398912Z                 'obj_weakref': None
2022-11-23T02:04:40.1399218Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1399326Z             }
2022-11-23T02:04:40.1399427Z             
2022-11-23T02:04:40.1399540Z  - 
2022-11-23T02:04:40.1399789Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1399891Z             {
2022-11-23T02:04:40.1400106Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1401081Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents == [6, 4, 5, 42]'],
2022-11-23T02:04:40.1401265Z                 'obj_weakref': None
2022-11-23T02:04:40.1401621Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1401725Z             }
2022-11-23T02:04:40.1401830Z             
2022-11-23T02:04:40.1401941Z  - 
2022-11-23T02:04:40.1402197Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1402296Z             {
2022-11-23T02:04:40.1402476Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1402860Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 6'],
2022-11-23T02:04:40.1403031Z                 'obj_weakref': None
2022-11-23T02:04:40.1403339Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1403452Z             }
2022-11-23T02:04:40.1403552Z             
2022-11-23T02:04:40.1403663Z  - 
2022-11-23T02:04:40.1403896Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1403997Z             {
2022-11-23T02:04:40.1404205Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1404596Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T02:04:40.1404770Z                 'obj_weakref': None
2022-11-23T02:04:40.1405080Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1405182Z             }
2022-11-23T02:04:40.1405287Z             
2022-11-23T02:04:40.1405374Z  - 
2022-11-23T02:04:40.1405627Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:40.1405732Z             {
2022-11-23T02:04:40.1405940Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1406322Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 5'],
2022-11-23T02:04:40.1406499Z                 'obj_weakref': None
2022-11-23T02:04:40.1406808Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1406887Z             }
2022-11-23T02:04:40.1406992Z             
2022-11-23T02:04:40.1407098Z  - 
2022-11-23T02:04:40.1407354Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T02:04:40.1407453Z             {
2022-11-23T02:04:40.1407661Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1408056Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents[3] == 42'],
2022-11-23T02:04:40.1408208Z                 'obj_weakref': None
2022-11-23T02:04:40.1408597Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1408700Z             }
2022-11-23T02:04:40.1408800Z             
2022-11-23T02:04:40.1409168Z [2022-11-23 02:01:55,972] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 366
2022-11-23T02:04:40.1409671Z [2022-11-23 02:01:56,057] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/po/cpoympkzprjzokxmnx3y6jrv7bkezsvq5ntafmm75zjbiwnuudq2.py
2022-11-23T02:04:40.1410036Z [2022-11-23 02:01:56,057] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 366
2022-11-23T02:04:40.1410361Z [2022-11-23 02:01:56,063] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1410763Z [2022-11-23 02:01:56,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1411063Z [2022-11-23 02:01:56,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1411414Z [2022-11-23 02:01:56,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1411855Z [2022-11-23 02:01:56,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1412299Z [2022-11-23 02:01:56,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1412774Z [2022-11-23 02:01:56,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1413225Z [2022-11-23 02:01:56,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1413736Z [2022-11-23 02:01:56,064] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T02:04:40.1413882Z  940           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1414031Z               2 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1414152Z               4 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1414285Z               6 CALL_METHOD              1
2022-11-23T02:04:40.1414422Z               8 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1414540Z              10 BINARY_ADD
2022-11-23T02:04:40.1414677Z              12 BUILD_TUPLE              1
2022-11-23T02:04:40.1414795Z              14 RETURN_VALUE
2022-11-23T02:04:40.1414899Z  
2022-11-23T02:04:40.1414924Z 
2022-11-23T02:04:40.1415357Z [2022-11-23 02:01:56,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T02:04:40.1415629Z [2022-11-23 02:01:56,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1415968Z [2022-11-23 02:01:56,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1417197Z [2022-11-23 02:01:56,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1417940Z [2022-11-23 02:01:56,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1418304Z [2022-11-23 02:01:56,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1418679Z [2022-11-23 02:01:56,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1419011Z [2022-11-23 02:01:56,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1419344Z [2022-11-23 02:01:56,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1420035Z [2022-11-23 02:01:56,069] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T02:04:40.1420352Z [2022-11-23 02:01:56,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1420675Z [2022-11-23 02:01:56,069] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1421024Z [2022-11-23 02:01:56,072] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1421367Z [2022-11-23 02:01:56,077] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1421636Z [2022-11-23 02:01:56,078] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1421828Z  __compiled_fn_375 <eval_with_key>.2729 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1421967Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1422099Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1422245Z call_method, view, view, (ex_0_, [50, 20]), {}
2022-11-23T02:04:40.1422471Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1422690Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.1422714Z 
2022-11-23T02:04:40.1423162Z [2022-11-23 02:01:56,079] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1423303Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1423442Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1423578Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1423723Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1423829Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1423968Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1424090Z              12 RETURN_VALUE
2022-11-23T02:04:40.1424109Z 
2022-11-23T02:04:40.1424210Z  
2022-11-23T02:04:40.1424644Z [2022-11-23 02:01:56,079] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1424812Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_375)
2022-11-23T02:04:40.1424950Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1425087Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1425183Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1425315Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1425455Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1425568Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1425700Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1425854Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1426040Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1426199Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1426336Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1426448Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1426601Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1426735Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1426853Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1426986Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1427129Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1427253Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1427385Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1427503Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1427652Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1427791Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1428004Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1428144Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1428268Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1428397Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1428519Z              54 RETURN_VALUE
2022-11-23T02:04:40.1428541Z 
2022-11-23T02:04:40.1428642Z  
2022-11-23T02:04:40.1428911Z [2022-11-23 02:01:56,081] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1429027Z  - 
2022-11-23T02:04:40.1429200Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1429280Z             {
2022-11-23T02:04:40.1429485Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1429743Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1429917Z                 'obj_weakref': None
2022-11-23T02:04:40.1430231Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1430338Z             }
2022-11-23T02:04:40.1430443Z             
2022-11-23T02:04:40.1430529Z  - 
2022-11-23T02:04:40.1430713Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1430813Z             {
2022-11-23T02:04:40.1431076Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1431242Z                 'code': None,
2022-11-23T02:04:40.1431535Z                 'obj_weakref': <weakref at 0x7fa5500e4590; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1431884Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1431962Z             }
2022-11-23T02:04:40.1432060Z             
2022-11-23T02:04:40.1432171Z  - 
2022-11-23T02:04:40.1432352Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1432450Z             {
2022-11-23T02:04:40.1432713Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1432874Z                 'code': None,
2022-11-23T02:04:40.1433140Z                 'obj_weakref': <weakref at 0x7fa5500e50d0; to 'Tensor' at 0x7fa532311f80>
2022-11-23T02:04:40.1433487Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1433594Z             }
2022-11-23T02:04:40.1433695Z             
2022-11-23T02:04:40.1433805Z  - 
2022-11-23T02:04:40.1433987Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1434086Z             {
2022-11-23T02:04:40.1434259Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1434505Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.1434679Z                 'obj_weakref': None
2022-11-23T02:04:40.1434995Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1435096Z             }
2022-11-23T02:04:40.1435200Z             
2022-11-23T02:04:40.1435312Z  - 
2022-11-23T02:04:40.1435471Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1435571Z             {
2022-11-23T02:04:40.1435772Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1436073Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1436243Z                 'obj_weakref': None
2022-11-23T02:04:40.1436547Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1436654Z             }
2022-11-23T02:04:40.1436730Z             
2022-11-23T02:04:40.1436841Z  - 
2022-11-23T02:04:40.1437084Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1437181Z             {
2022-11-23T02:04:40.1437413Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1438133Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents == [50, 20]'],
2022-11-23T02:04:40.1438381Z                 'obj_weakref': None
2022-11-23T02:04:40.1438690Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1438770Z             }
2022-11-23T02:04:40.1438874Z             
2022-11-23T02:04:40.1439012Z  - 
2022-11-23T02:04:40.1439240Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1439341Z             {
2022-11-23T02:04:40.1439553Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1439943Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 50'],
2022-11-23T02:04:40.1440096Z                 'obj_weakref': None
2022-11-23T02:04:40.1440405Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1440517Z             }
2022-11-23T02:04:40.1440617Z             
2022-11-23T02:04:40.1440731Z  - 
2022-11-23T02:04:40.1440986Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1441144Z             {
2022-11-23T02:04:40.1441329Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1441713Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 20'],
2022-11-23T02:04:40.1441887Z                 'obj_weakref': None
2022-11-23T02:04:40.1442192Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1442299Z             }
2022-11-23T02:04:40.1442396Z             
2022-11-23T02:04:40.1442755Z [2022-11-23 02:01:56,091] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 367
2022-11-23T02:04:40.1442780Z 
2022-11-23T02:04:40.1442919Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1443003Z import torch
2022-11-23T02:04:40.1443113Z import random
2022-11-23T02:04:40.1443284Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1443471Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1443491Z 
2022-11-23T02:04:40.1443616Z aten = torch.ops.aten
2022-11-23T02:04:40.1443827Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1443970Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1443989Z 
2022-11-23T02:04:40.1444007Z 
2022-11-23T02:04:40.1444206Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1444463Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1444638Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1444791Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1444939Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1445046Z {
2022-11-23T02:04:40.1445194Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1445294Z     {
2022-11-23T02:04:40.1445390Z         #pragma omp for 
2022-11-23T02:04:40.1445513Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T02:04:40.1445617Z         {
2022-11-23T02:04:40.1445849Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1446038Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1446173Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1446310Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1446387Z         }
2022-11-23T02:04:40.1446531Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1446660Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T02:04:40.1446763Z         {
2022-11-23T02:04:40.1446895Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1447026Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.1447220Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1447320Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.1447418Z         }
2022-11-23T02:04:40.1447521Z     }
2022-11-23T02:04:40.1447621Z }
2022-11-23T02:04:40.1447750Z ''')
2022-11-23T02:04:40.1447774Z 
2022-11-23T02:04:40.1447793Z 
2022-11-23T02:04:40.1447930Z async_compile.wait(globals())
2022-11-23T02:04:40.1448044Z del async_compile
2022-11-23T02:04:40.1448063Z 
2022-11-23T02:04:40.1448152Z def call(args):
2022-11-23T02:04:40.1448274Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1448388Z     args.clear()
2022-11-23T02:04:40.1448667Z     buf0 = empty_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1448898Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1449007Z     del arg0_1
2022-11-23T02:04:40.1449112Z     del arg1_1
2022-11-23T02:04:40.1449200Z     return (buf0, )
2022-11-23T02:04:40.1449248Z 
2022-11-23T02:04:40.1449267Z 
2022-11-23T02:04:40.1449360Z if __name__ == "__main__":
2022-11-23T02:04:40.1449529Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1449707Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1450086Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1450371Z     arg1_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1450544Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1450563Z 
2022-11-23T02:04:40.1450582Z 
2022-11-23T02:04:40.1450745Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1450832Z import torch
2022-11-23T02:04:40.1450925Z import random
2022-11-23T02:04:40.1451091Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1451264Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1451283Z 
2022-11-23T02:04:40.1451406Z aten = torch.ops.aten
2022-11-23T02:04:40.1451601Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1451741Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1451762Z 
2022-11-23T02:04:40.1451780Z 
2022-11-23T02:04:40.1451978Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1452265Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1452416Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1452571Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1452719Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1452820Z {
2022-11-23T02:04:40.1452965Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1453068Z     {
2022-11-23T02:04:40.1453188Z         #pragma omp for 
2022-11-23T02:04:40.1453290Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T02:04:40.1453395Z         {
2022-11-23T02:04:40.1453600Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1453791Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1453977Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.1454111Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1454237Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1454350Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1454451Z         }
2022-11-23T02:04:40.1454594Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1454728Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T02:04:40.1454828Z         {
2022-11-23T02:04:40.1454955Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1455079Z             auto tmp3 = in_ptr1[i0];
2022-11-23T02:04:40.1455203Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.1455333Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1455458Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1455688Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:40.1455792Z         }
2022-11-23T02:04:40.1455890Z     }
2022-11-23T02:04:40.1455987Z }
2022-11-23T02:04:40.1456546Z ''')
2022-11-23T02:04:40.1456575Z 
2022-11-23T02:04:40.1456603Z 
2022-11-23T02:04:40.1456852Z async_compile.wait(globals())
2022-11-23T02:04:40.1457039Z del async_compile
2022-11-23T02:04:40.1457065Z 
2022-11-23T02:04:40.1457249Z def call(args):
2022-11-23T02:04:40.1457438Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1457610Z     args.clear()
2022-11-23T02:04:40.1458045Z     buf0 = empty_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1458282Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1458369Z     del arg0_1
2022-11-23T02:04:40.1458477Z     del arg1_1
2022-11-23T02:04:40.1458592Z     return (buf0, )
2022-11-23T02:04:40.1458611Z 
2022-11-23T02:04:40.1458630Z 
2022-11-23T02:04:40.1458747Z if __name__ == "__main__":
2022-11-23T02:04:40.1458920Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1459097Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1459423Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1459803Z     arg1_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1459984Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1460004Z 
2022-11-23T02:04:40.1460023Z 
2022-11-23T02:04:40.1460164Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1460274Z import torch
2022-11-23T02:04:40.1460381Z import random
2022-11-23T02:04:40.1460547Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1460782Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1460801Z 
2022-11-23T02:04:40.1460992Z aten = torch.ops.aten
2022-11-23T02:04:40.1461160Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1461304Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1461323Z 
2022-11-23T02:04:40.1461342Z 
2022-11-23T02:04:40.1461538Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1461825Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1461997Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1462173Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1462330Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1462400Z {
2022-11-23T02:04:40.1462522Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1462621Z     {
2022-11-23T02:04:40.1462737Z         #pragma omp for 
2022-11-23T02:04:40.1462865Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T02:04:40.1462966Z         {
2022-11-23T02:04:40.1463168Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1463357Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1463469Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1463605Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1463705Z         }
2022-11-23T02:04:40.1463849Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1463982Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T02:04:40.1464081Z         {
2022-11-23T02:04:40.1464213Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1464315Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.1464441Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1464563Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.1464656Z         }
2022-11-23T02:04:40.1464754Z     }
2022-11-23T02:04:40.1464848Z }
2022-11-23T02:04:40.1464977Z ''')
2022-11-23T02:04:40.1464996Z 
2022-11-23T02:04:40.1465014Z 
2022-11-23T02:04:40.1465129Z async_compile.wait(globals())
2022-11-23T02:04:40.1465239Z del async_compile
2022-11-23T02:04:40.1465258Z 
2022-11-23T02:04:40.1465466Z def call(args):
2022-11-23T02:04:40.1465585Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1465701Z     args.clear()
2022-11-23T02:04:40.1466003Z     buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1466234Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1466345Z     del arg0_1
2022-11-23T02:04:40.1466427Z     del arg1_1
2022-11-23T02:04:40.1466537Z     return (buf0, )
2022-11-23T02:04:40.1466558Z 
2022-11-23T02:04:40.1466576Z 
2022-11-23T02:04:40.1466704Z if __name__ == "__main__":
2022-11-23T02:04:40.1466875Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1467048Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1467372Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1467672Z     arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1467823Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1467866Z 
2022-11-23T02:04:40.1467884Z 
2022-11-23T02:04:40.1468002Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1468113Z import torch
2022-11-23T02:04:40.1468277Z import random
2022-11-23T02:04:40.1468453Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1468632Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1468652Z 
2022-11-23T02:04:40.1468772Z aten = torch.ops.aten
2022-11-23T02:04:40.1468968Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1469084Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1469126Z 
2022-11-23T02:04:40.1469144Z 
2022-11-23T02:04:40.1469321Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1469606Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1469784Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1469942Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1470090Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1470191Z {
2022-11-23T02:04:40.1470340Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1470415Z     {
2022-11-23T02:04:40.1470534Z         #pragma omp for 
2022-11-23T02:04:40.1470660Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T02:04:40.1470762Z         {
2022-11-23T02:04:40.1470956Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1471145Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1471333Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.1471463Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1471567Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1471702Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1471809Z         }
2022-11-23T02:04:40.1471953Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1472081Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T02:04:40.1472180Z         {
2022-11-23T02:04:40.1472284Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1472413Z             auto tmp3 = in_ptr1[i0];
2022-11-23T02:04:40.1472564Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.1472690Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1472815Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1472937Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:40.1473036Z         }
2022-11-23T02:04:40.1473132Z     }
2022-11-23T02:04:40.1473224Z }
2022-11-23T02:04:40.1473371Z ''')
2022-11-23T02:04:40.1473371Z 
2022-11-23T02:04:40.1473400Z 
2022-11-23T02:04:40.1473522Z async_compile.wait(globals())
2022-11-23T02:04:40.1473632Z del async_compile
2022-11-23T02:04:40.1473652Z 
2022-11-23T02:04:40.1473765Z def call(args):
2022-11-23T02:04:40.1473945Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1474034Z     args.clear()
2022-11-23T02:04:40.1474338Z     buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1474574Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1474687Z     del arg0_1
2022-11-23T02:04:40.1474791Z     del arg1_1
2022-11-23T02:04:40.1474906Z     return (buf0, )
2022-11-23T02:04:40.1474925Z 
2022-11-23T02:04:40.1474945Z 
2022-11-23T02:04:40.1475065Z if __name__ == "__main__":
2022-11-23T02:04:40.1475233Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1475387Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1475715Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1476012Z     arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1476184Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1476203Z 
2022-11-23T02:04:40.1476696Z [2022-11-23 02:01:56,107] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wz/cwzt3t6efzruxirnqln4dmfn2zin4hfv6yo2edekb62unnwkymqb.py
2022-11-23T02:04:40.1477110Z [2022-11-23 02:01:56,107] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 367
2022-11-23T02:04:40.1477440Z [2022-11-23 02:01:56,113] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1477873Z [2022-11-23 02:01:56,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1478175Z [2022-11-23 02:01:56,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1478520Z [2022-11-23 02:01:56,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1478880Z [2022-11-23 02:01:56,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1479312Z [2022-11-23 02:01:56,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1479783Z [2022-11-23 02:01:56,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1480226Z [2022-11-23 02:01:56,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1480728Z [2022-11-23 02:01:56,115] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T02:04:40.1480872Z  943           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1481006Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:40.1481129Z               4 BINARY_ADD
2022-11-23T02:04:40.1481272Z               6 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1481389Z               8 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1481525Z              10 CALL_METHOD              1
2022-11-23T02:04:40.1481662Z              12 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1481774Z              14 BINARY_ADD
2022-11-23T02:04:40.1481907Z              16 BUILD_TUPLE              1
2022-11-23T02:04:40.1482027Z              18 RETURN_VALUE
2022-11-23T02:04:40.1482129Z  
2022-11-23T02:04:40.1482149Z 
2022-11-23T02:04:40.1482557Z [2022-11-23 02:01:56,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T02:04:40.1482853Z [2022-11-23 02:01:56,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1483182Z [2022-11-23 02:01:56,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.1483633Z [2022-11-23 02:01:56,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1483976Z [2022-11-23 02:01:56,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1484360Z [2022-11-23 02:01:56,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1484770Z [2022-11-23 02:01:56,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1485096Z [2022-11-23 02:01:56,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1485466Z [2022-11-23 02:01:56,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1485804Z [2022-11-23 02:01:56,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1486124Z [2022-11-23 02:01:56,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1486694Z [2022-11-23 02:01:56,121] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T02:04:40.1487039Z [2022-11-23 02:01:56,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1487363Z [2022-11-23 02:01:56,122] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1487712Z [2022-11-23 02:01:56,124] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1488053Z [2022-11-23 02:01:56,130] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1488325Z [2022-11-23 02:01:56,131] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1488582Z  __compiled_fn_376 <eval_with_key>.2735 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1488722Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1488840Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1489083Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:40.1489230Z call_method, view, view, (add, [50, 20]), {}
2022-11-23T02:04:40.1489483Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1489628Z output, output, output, ((add_1,),), {}
2022-11-23T02:04:40.1489648Z 
2022-11-23T02:04:40.1490092Z [2022-11-23 02:01:56,132] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1490238Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1490381Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1490493Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1490634Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1490767Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1490897Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1491017Z              12 RETURN_VALUE
2022-11-23T02:04:40.1491038Z 
2022-11-23T02:04:40.1491133Z  
2022-11-23T02:04:40.1491566Z [2022-11-23 02:01:56,132] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1491705Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_376)
2022-11-23T02:04:40.1491843Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1491975Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1492093Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1492227Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1492371Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1492576Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1492685Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1492840Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1493034Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1493183Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1493317Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1493463Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1493613Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1493746Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1493841Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1493972Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1494115Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1494263Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1494406Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1494527Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1494681Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1494856Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1495008Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1495142Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1495267Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1495419Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1495534Z              54 RETURN_VALUE
2022-11-23T02:04:40.1495554Z 
2022-11-23T02:04:40.1495653Z  
2022-11-23T02:04:40.1495906Z [2022-11-23 02:01:56,134] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1496015Z  - 
2022-11-23T02:04:40.1496804Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1496964Z             {
2022-11-23T02:04:40.1497305Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1497749Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1498016Z                 'obj_weakref': None
2022-11-23T02:04:40.1498319Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1498430Z             }
2022-11-23T02:04:40.1498530Z             
2022-11-23T02:04:40.1498642Z  - 
2022-11-23T02:04:40.1498820Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1498922Z             {
2022-11-23T02:04:40.1499126Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1499263Z                 'code': None,
2022-11-23T02:04:40.1499555Z                 'obj_weakref': <weakref at 0x7fa5500e6250; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1499899Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1500006Z             }
2022-11-23T02:04:40.1500108Z             
2022-11-23T02:04:40.1500220Z  - 
2022-11-23T02:04:40.1500401Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1500479Z             {
2022-11-23T02:04:40.1500678Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1500839Z                 'code': None,
2022-11-23T02:04:40.1501135Z                 'obj_weakref': <weakref at 0x7fa5500e6b10; to 'Tensor' at 0x7fa532311f80>
2022-11-23T02:04:40.1501475Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1501574Z             }
2022-11-23T02:04:40.1501673Z             
2022-11-23T02:04:40.1501760Z  - 
2022-11-23T02:04:40.1501953Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1502056Z             {
2022-11-23T02:04:40.1502249Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1502487Z                 'code': ['___check_obj_id(model, 140347991889744)'],
2022-11-23T02:04:40.1502659Z                 'obj_weakref': None
2022-11-23T02:04:40.1503127Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1503204Z             }
2022-11-23T02:04:40.1503305Z             
2022-11-23T02:04:40.1503414Z  - 
2022-11-23T02:04:40.1503597Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1503697Z             {
2022-11-23T02:04:40.1503892Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1504183Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1504330Z                 'obj_weakref': None
2022-11-23T02:04:40.1504669Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1504740Z             }
2022-11-23T02:04:40.1504872Z             
2022-11-23T02:04:40.1504953Z  - 
2022-11-23T02:04:40.1505199Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1505305Z             {
2022-11-23T02:04:40.1505517Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1506304Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents == [50, 20]'],
2022-11-23T02:04:40.1506486Z                 'obj_weakref': None
2022-11-23T02:04:40.1506852Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1506956Z             }
2022-11-23T02:04:40.1507057Z             
2022-11-23T02:04:40.1507171Z  - 
2022-11-23T02:04:40.1507429Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1507507Z             {
2022-11-23T02:04:40.1507710Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1508103Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 50'],
2022-11-23T02:04:40.1508275Z                 'obj_weakref': None
2022-11-23T02:04:40.1508582Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1508683Z             }
2022-11-23T02:04:40.1508783Z             
2022-11-23T02:04:40.1508870Z  - 
2022-11-23T02:04:40.1509127Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1509235Z             {
2022-11-23T02:04:40.1509434Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1509812Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 20'],
2022-11-23T02:04:40.1509988Z                 'obj_weakref': None
2022-11-23T02:04:40.1510299Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1510404Z             }
2022-11-23T02:04:40.1510480Z             
2022-11-23T02:04:40.1510838Z [2022-11-23 02:01:56,146] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 368
2022-11-23T02:04:40.1511334Z [2022-11-23 02:01:56,186] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nx/cnxxdjcv7afcuxhpj5swbu53eadf66klwq6cgosms36hwdtltikt.py
2022-11-23T02:04:40.1511703Z [2022-11-23 02:01:56,186] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 368
2022-11-23T02:04:40.1512028Z [2022-11-23 02:01:56,192] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1512455Z [2022-11-23 02:01:56,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1512752Z [2022-11-23 02:01:56,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1513168Z [2022-11-23 02:01:56,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1513543Z [2022-11-23 02:01:56,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1513958Z [2022-11-23 02:01:56,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1514488Z [2022-11-23 02:01:56,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1514924Z [2022-11-23 02:01:56,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1515465Z [2022-11-23 02:01:56,193] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T02:04:40.1515592Z  940           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1515739Z               2 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1515899Z               4 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1516056Z               6 CALL_METHOD              1
2022-11-23T02:04:40.1516200Z               8 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1516291Z              10 BINARY_ADD
2022-11-23T02:04:40.1516430Z              12 BUILD_TUPLE              1
2022-11-23T02:04:40.1516552Z              14 RETURN_VALUE
2022-11-23T02:04:40.1516650Z  
2022-11-23T02:04:40.1516672Z 
2022-11-23T02:04:40.1517101Z [2022-11-23 02:01:56,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T02:04:40.1517395Z [2022-11-23 02:01:56,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1517726Z [2022-11-23 02:01:56,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1518116Z [2022-11-23 02:01:56,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1518508Z [2022-11-23 02:01:56,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1518842Z [2022-11-23 02:01:56,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1519214Z [2022-11-23 02:01:56,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1519553Z [2022-11-23 02:01:56,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1519891Z [2022-11-23 02:01:56,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1520458Z [2022-11-23 02:01:56,198] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T02:04:40.1520805Z [2022-11-23 02:01:56,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1521133Z [2022-11-23 02:01:56,198] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1521480Z [2022-11-23 02:01:56,201] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1521823Z [2022-11-23 02:01:56,206] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1522062Z [2022-11-23 02:01:56,207] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1522258Z  __compiled_fn_377 <eval_with_key>.2741 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1522396Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1522627Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1522787Z call_method, view, view, (ex_0_, [1, 10, 1]), {}
2022-11-23T02:04:40.1523041Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1523185Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.1523211Z 
2022-11-23T02:04:40.1523651Z [2022-11-23 02:01:56,208] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1523771Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1523907Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1524041Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1524178Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1524307Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1524439Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1524560Z              12 RETURN_VALUE
2022-11-23T02:04:40.1524583Z 
2022-11-23T02:04:40.1524656Z  
2022-11-23T02:04:40.1525097Z [2022-11-23 02:01:56,208] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1525377Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_377)
2022-11-23T02:04:40.1525519Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1525655Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1525776Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1525909Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1526045Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1526138Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1526271Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1526428Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1526611Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1526760Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1526897Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1527047Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1527210Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1527349Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1527434Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1527570Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1527715Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1527861Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1527997Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1528090Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1528240Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1528376Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1528529Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1528660Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1528773Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1528922Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1529022Z              54 RETURN_VALUE
2022-11-23T02:04:40.1529067Z 
2022-11-23T02:04:40.1529141Z  
2022-11-23T02:04:40.1529411Z [2022-11-23 02:01:56,210] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1529527Z  - 
2022-11-23T02:04:40.1529702Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1529802Z             {
2022-11-23T02:04:40.1530005Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1530270Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1530420Z                 'obj_weakref': None
2022-11-23T02:04:40.1530727Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1530901Z             }
2022-11-23T02:04:40.1531003Z             
2022-11-23T02:04:40.1531120Z  - 
2022-11-23T02:04:40.1531299Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1531399Z             {
2022-11-23T02:04:40.1531585Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1531744Z                 'code': None,
2022-11-23T02:04:40.1532040Z                 'obj_weakref': <weakref at 0x7fa5321ea340; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1532380Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1532483Z             }
2022-11-23T02:04:40.1532585Z             
2022-11-23T02:04:40.1532692Z  - 
2022-11-23T02:04:40.1532848Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1532949Z             {
2022-11-23T02:04:40.1533153Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1533309Z                 'code': None,
2022-11-23T02:04:40.1533603Z                 'obj_weakref': <weakref at 0x7fa5322ec1d0; to 'Tensor' at 0x7fa532311f80>
2022-11-23T02:04:40.1533957Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1534058Z             }
2022-11-23T02:04:40.1534190Z             
2022-11-23T02:04:40.1534308Z  - 
2022-11-23T02:04:40.1534497Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1534597Z             {
2022-11-23T02:04:40.1534797Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1535036Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.1535213Z                 'obj_weakref': None
2022-11-23T02:04:40.1535505Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1535611Z             }
2022-11-23T02:04:40.1535711Z             
2022-11-23T02:04:40.1535820Z  - 
2022-11-23T02:04:40.1536020Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1536661Z             {
2022-11-23T02:04:40.1537018Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1537498Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1537783Z                 'obj_weakref': None
2022-11-23T02:04:40.1538100Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1538201Z             }
2022-11-23T02:04:40.1538305Z             
2022-11-23T02:04:40.1538413Z  - 
2022-11-23T02:04:40.1538666Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1538745Z             {
2022-11-23T02:04:40.1538982Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1539815Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents == [1, 10, 1]'],
2022-11-23T02:04:40.1539994Z                 'obj_weakref': None
2022-11-23T02:04:40.1540307Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1540414Z             }
2022-11-23T02:04:40.1540513Z             
2022-11-23T02:04:40.1540628Z  - 
2022-11-23T02:04:40.1540859Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1540963Z             {
2022-11-23T02:04:40.1541163Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1541549Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T02:04:40.1541722Z                 'obj_weakref': None
2022-11-23T02:04:40.1542026Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1542281Z             }
2022-11-23T02:04:40.1542357Z             
2022-11-23T02:04:40.1542471Z  - 
2022-11-23T02:04:40.1542736Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1542841Z             {
2022-11-23T02:04:40.1543047Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1543431Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 10'],
2022-11-23T02:04:40.1543603Z                 'obj_weakref': None
2022-11-23T02:04:40.1543911Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1543989Z             }
2022-11-23T02:04:40.1544091Z             
2022-11-23T02:04:40.1544199Z  - 
2022-11-23T02:04:40.1544454Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:40.1544555Z             {
2022-11-23T02:04:40.1544758Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1545135Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T02:04:40.1545365Z                 'obj_weakref': None
2022-11-23T02:04:40.1545693Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1545796Z             }
2022-11-23T02:04:40.1545900Z             
2022-11-23T02:04:40.1546261Z [2022-11-23 02:01:56,223] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 369
2022-11-23T02:04:40.1546750Z [2022-11-23 02:01:56,236] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lr/clrf3nydxk72fc2qohkb25tax7lyebrslu64ejpcflrumtjedqfp.py
2022-11-23T02:04:40.1547114Z [2022-11-23 02:01:56,237] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 369
2022-11-23T02:04:40.1547446Z [2022-11-23 02:01:56,242] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1547850Z [2022-11-23 02:01:56,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1548150Z [2022-11-23 02:01:56,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1548494Z [2022-11-23 02:01:56,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1548872Z [2022-11-23 02:01:56,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1549298Z [2022-11-23 02:01:56,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1549766Z [2022-11-23 02:01:56,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1550203Z [2022-11-23 02:01:56,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1550718Z [2022-11-23 02:01:56,244] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T02:04:40.1550858Z  943           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1550998Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:40.1551089Z               4 BINARY_ADD
2022-11-23T02:04:40.1551235Z               6 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1551374Z               8 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1551507Z              10 CALL_METHOD              1
2022-11-23T02:04:40.1551647Z              12 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1551831Z              14 BINARY_ADD
2022-11-23T02:04:40.1551964Z              16 BUILD_TUPLE              1
2022-11-23T02:04:40.1552059Z              18 RETURN_VALUE
2022-11-23T02:04:40.1552156Z  
2022-11-23T02:04:40.1552184Z 
2022-11-23T02:04:40.1552624Z [2022-11-23 02:01:56,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T02:04:40.1552919Z [2022-11-23 02:01:56,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1553250Z [2022-11-23 02:01:56,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.1553631Z [2022-11-23 02:01:56,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1553964Z [2022-11-23 02:01:56,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1554355Z [2022-11-23 02:01:56,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1554767Z [2022-11-23 02:01:56,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1555126Z [2022-11-23 02:01:56,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1555504Z [2022-11-23 02:01:56,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1555835Z [2022-11-23 02:01:56,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1556172Z [2022-11-23 02:01:56,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1556688Z [2022-11-23 02:01:56,250] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T02:04:40.1557026Z [2022-11-23 02:01:56,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1557351Z [2022-11-23 02:01:56,251] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1557697Z [2022-11-23 02:01:56,253] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1558037Z [2022-11-23 02:01:56,260] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1558302Z [2022-11-23 02:01:56,260] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1558472Z  __compiled_fn_378 <eval_with_key>.2747 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1558609Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1558746Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1558993Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:40.1559143Z call_method, view, view, (add, [1, 10, 1]), {}
2022-11-23T02:04:40.1559401Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1559543Z output, output, output, ((add_1,),), {}
2022-11-23T02:04:40.1559565Z 
2022-11-23T02:04:40.1559985Z [2022-11-23 02:01:56,261] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1560130Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1560266Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1560400Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1560537Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1560664Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1560797Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1560911Z              12 RETURN_VALUE
2022-11-23T02:04:40.1560931Z 
2022-11-23T02:04:40.1561005Z  
2022-11-23T02:04:40.1561536Z [2022-11-23 02:01:56,261] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1561696Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_378)
2022-11-23T02:04:40.1561836Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1561976Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1562098Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1562231Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1562340Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1562458Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1562594Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1562745Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1562931Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1563076Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1563217Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1563356Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1563483Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1563679Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1563803Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1563937Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1564077Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1564225Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1564363Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1564457Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1564611Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1564754Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1564894Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1565032Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1565146Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1565300Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1565395Z              54 RETURN_VALUE
2022-11-23T02:04:40.1565418Z 
2022-11-23T02:04:40.1565519Z  
2022-11-23T02:04:40.1565785Z [2022-11-23 02:01:56,263] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1565897Z  - 
2022-11-23T02:04:40.1566074Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1566177Z             {
2022-11-23T02:04:40.1566379Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1566619Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1566794Z                 'obj_weakref': None
2022-11-23T02:04:40.1567103Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1567205Z             }
2022-11-23T02:04:40.1567310Z             
2022-11-23T02:04:40.1567422Z  - 
2022-11-23T02:04:40.1567604Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1567681Z             {
2022-11-23T02:04:40.1567884Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1568046Z                 'code': None,
2022-11-23T02:04:40.1568346Z                 'obj_weakref': <weakref at 0x7fa52469f650; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1568692Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1568792Z             }
2022-11-23T02:04:40.1568892Z             
2022-11-23T02:04:40.1568978Z  - 
2022-11-23T02:04:40.1569158Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1569260Z             {
2022-11-23T02:04:40.1569465Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1569619Z                 'code': None,
2022-11-23T02:04:40.1569908Z                 'obj_weakref': <weakref at 0x7fa52469e020; to 'Tensor' at 0x7fa532311f80>
2022-11-23T02:04:40.1570334Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1570433Z             }
2022-11-23T02:04:40.1570510Z             
2022-11-23T02:04:40.1570620Z  - 
2022-11-23T02:04:40.1570811Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1570914Z             {
2022-11-23T02:04:40.1571106Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1571343Z                 'code': ['___check_obj_id(model, 140347991889744)'],
2022-11-23T02:04:40.1571495Z                 'obj_weakref': None
2022-11-23T02:04:40.1571811Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1571913Z             }
2022-11-23T02:04:40.1572014Z             
2022-11-23T02:04:40.1572128Z  - 
2022-11-23T02:04:40.1572306Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1572407Z             {
2022-11-23T02:04:40.1572587Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1572885Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1573064Z                 'obj_weakref': None
2022-11-23T02:04:40.1573438Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1573548Z             }
2022-11-23T02:04:40.1573651Z             
2022-11-23T02:04:40.1573765Z  - 
2022-11-23T02:04:40.1573991Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1574094Z             {
2022-11-23T02:04:40.1574332Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1575166Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents == [1, 10, 1]'],
2022-11-23T02:04:40.1575345Z                 'obj_weakref': None
2022-11-23T02:04:40.1575654Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1575752Z             }
2022-11-23T02:04:40.1575853Z             
2022-11-23T02:04:40.1575964Z  - 
2022-11-23T02:04:40.1576894Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1577071Z             {
2022-11-23T02:04:40.1577430Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1578100Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T02:04:40.1578311Z                 'obj_weakref': None
2022-11-23T02:04:40.1578620Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1578730Z             }
2022-11-23T02:04:40.1578806Z             
2022-11-23T02:04:40.1578917Z  - 
2022-11-23T02:04:40.1579176Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1579277Z             {
2022-11-23T02:04:40.1579485Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1579875Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 10'],
2022-11-23T02:04:40.1580049Z                 'obj_weakref': None
2022-11-23T02:04:40.1580330Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1580431Z             }
2022-11-23T02:04:40.1580535Z             
2022-11-23T02:04:40.1580644Z  - 
2022-11-23T02:04:40.1580892Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:40.1580993Z             {
2022-11-23T02:04:40.1581345Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1581700Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T02:04:40.1581873Z                 'obj_weakref': None
2022-11-23T02:04:40.1582183Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1582284Z             }
2022-11-23T02:04:40.1582382Z             
2022-11-23T02:04:40.1582744Z [2022-11-23 02:01:56,275] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 370
2022-11-23T02:04:40.1583224Z [2022-11-23 02:01:56,290] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3q/c3q3xxtmall3vu46d5aq7oikhy7jftqmc7vz5wt6zs3a5qfxrmzw.py
2022-11-23T02:04:40.1583591Z [2022-11-23 02:01:56,290] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 370
2022-11-23T02:04:40.1583912Z [2022-11-23 02:01:56,296] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1584319Z [2022-11-23 02:01:56,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1584695Z [2022-11-23 02:01:56,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1585050Z [2022-11-23 02:01:56,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1585423Z [2022-11-23 02:01:56,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1585860Z [2022-11-23 02:01:56,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1586324Z [2022-11-23 02:01:56,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1586764Z [2022-11-23 02:01:56,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1587282Z [2022-11-23 02:01:56,297] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T02:04:40.1587427Z  940           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1587575Z               2 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1587692Z               4 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1587821Z               6 CALL_METHOD              1
2022-11-23T02:04:40.1587956Z               8 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1588069Z              10 BINARY_ADD
2022-11-23T02:04:40.1588205Z              12 BUILD_TUPLE              1
2022-11-23T02:04:40.1588321Z              14 RETURN_VALUE
2022-11-23T02:04:40.1588399Z  
2022-11-23T02:04:40.1588501Z 
2022-11-23T02:04:40.1588911Z [2022-11-23 02:01:56,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T02:04:40.1589211Z [2022-11-23 02:01:56,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1589544Z [2022-11-23 02:01:56,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1589924Z [2022-11-23 02:01:56,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1590332Z [2022-11-23 02:01:56,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1590663Z [2022-11-23 02:01:56,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1591039Z [2022-11-23 02:01:56,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1591484Z [2022-11-23 02:01:56,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1591824Z [2022-11-23 02:01:56,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1592307Z [2022-11-23 02:01:56,302] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T02:04:40.1592648Z [2022-11-23 02:01:56,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1593005Z [2022-11-23 02:01:56,303] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1593355Z [2022-11-23 02:01:56,305] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1593697Z [2022-11-23 02:01:56,311] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1593969Z [2022-11-23 02:01:56,311] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1594164Z  __compiled_fn_379 <eval_with_key>.2753 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1594354Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1594493Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1594627Z call_method, view, view, (ex_0_, [10, 1, 10, 1, 10]), {}
2022-11-23T02:04:40.1594882Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1595024Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.1595046Z 
2022-11-23T02:04:40.1595486Z [2022-11-23 02:01:56,312] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1595631Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1595770Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1595905Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1596044Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1596149Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1596286Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1596406Z              12 RETURN_VALUE
2022-11-23T02:04:40.1596426Z 
2022-11-23T02:04:40.1596523Z  
2022-11-23T02:04:40.1596966Z [2022-11-23 02:01:56,312] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1597127Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_379)
2022-11-23T02:04:40.1597269Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1597381Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1597504Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1597637Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1597780Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1597900Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1598033Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1598189Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1598378Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1598501Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1598633Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1598776Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1598931Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1599074Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1599198Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1599330Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1599445Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1599665Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1599801Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1599924Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1600079Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1600226Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1600374Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1600482Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1600600Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1600748Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1600862Z              54 RETURN_VALUE
2022-11-23T02:04:40.1600882Z 
2022-11-23T02:04:40.1600975Z  
2022-11-23T02:04:40.1601247Z [2022-11-23 02:01:56,315] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1601359Z  - 
2022-11-23T02:04:40.1601508Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1601613Z             {
2022-11-23T02:04:40.1601818Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1602080Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1602253Z                 'obj_weakref': None
2022-11-23T02:04:40.1602625Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1602733Z             }
2022-11-23T02:04:40.1602813Z             
2022-11-23T02:04:40.1602930Z  - 
2022-11-23T02:04:40.1603112Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1603210Z             {
2022-11-23T02:04:40.1603413Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1603574Z                 'code': None,
2022-11-23T02:04:40.1603870Z                 'obj_weakref': <weakref at 0x7fa5322a78d0; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1604274Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1604358Z             }
2022-11-23T02:04:40.1604461Z             
2022-11-23T02:04:40.1604570Z  - 
2022-11-23T02:04:40.1604750Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1604853Z             {
2022-11-23T02:04:40.1605052Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1605189Z                 'code': None,
2022-11-23T02:04:40.1605481Z                 'obj_weakref': <weakref at 0x7fa51c4c53f0; to 'Tensor' at 0x7fa532311f80>
2022-11-23T02:04:40.1605822Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1605923Z             }
2022-11-23T02:04:40.1606026Z             
2022-11-23T02:04:40.1606136Z  - 
2022-11-23T02:04:40.1606328Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1606405Z             {
2022-11-23T02:04:40.1606601Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1606841Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.1607020Z                 'obj_weakref': None
2022-11-23T02:04:40.1607333Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1607434Z             }
2022-11-23T02:04:40.1607533Z             
2022-11-23T02:04:40.1607624Z  - 
2022-11-23T02:04:40.1607802Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1607899Z             {
2022-11-23T02:04:40.1608094Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1608389Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1608566Z                 'obj_weakref': None
2022-11-23T02:04:40.1608869Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1608971Z             }
2022-11-23T02:04:40.1609049Z             
2022-11-23T02:04:40.1609158Z  - 
2022-11-23T02:04:40.1609409Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1609573Z             {
2022-11-23T02:04:40.1609815Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1610921Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 5', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[4], 93849050129792)', 'model.__closure__[0].cell_contents == [10, 1, 10, 1, 10]'],
2022-11-23T02:04:40.1611094Z                 'obj_weakref': None
2022-11-23T02:04:40.1611400Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1611476Z             }
2022-11-23T02:04:40.1611578Z             
2022-11-23T02:04:40.1611690Z  - 
2022-11-23T02:04:40.1611949Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1612049Z             {
2022-11-23T02:04:40.1612255Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1612690Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T02:04:40.1612871Z                 'obj_weakref': None
2022-11-23T02:04:40.1613155Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1613258Z             }
2022-11-23T02:04:40.1613361Z             
2022-11-23T02:04:40.1613469Z  - 
2022-11-23T02:04:40.1613725Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1613824Z             {
2022-11-23T02:04:40.1614001Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1614392Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T02:04:40.1614572Z                 'obj_weakref': None
2022-11-23T02:04:40.1614886Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1614989Z             }
2022-11-23T02:04:40.1615085Z             
2022-11-23T02:04:40.1615200Z  - 
2022-11-23T02:04:40.1615455Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:40.1615534Z             {
2022-11-23T02:04:40.1615740Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1616663Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 10'],
2022-11-23T02:04:40.1617003Z                 'obj_weakref': None
2022-11-23T02:04:40.1617560Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1617728Z             }
2022-11-23T02:04:40.1617883Z             
2022-11-23T02:04:40.1617983Z  - 
2022-11-23T02:04:40.1618239Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T02:04:40.1618341Z             {
2022-11-23T02:04:40.1618549Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1618932Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T02:04:40.1619104Z                 'obj_weakref': None
2022-11-23T02:04:40.1619399Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1619500Z             }
2022-11-23T02:04:40.1619577Z             
2022-11-23T02:04:40.1619688Z  - 
2022-11-23T02:04:40.1619946Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T02:04:40.1620048Z             {
2022-11-23T02:04:40.1620247Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1620788Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 93849050129792)', 'model.__closure__[0].cell_contents[4] == 10'],
2022-11-23T02:04:40.1620962Z                 'obj_weakref': None
2022-11-23T02:04:40.1621244Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1621351Z             }
2022-11-23T02:04:40.1621450Z             
2022-11-23T02:04:40.1621809Z [2022-11-23 02:01:56,325] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 371
2022-11-23T02:04:40.1621831Z 
2022-11-23T02:04:40.1621975Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1622089Z import torch
2022-11-23T02:04:40.1622200Z import random
2022-11-23T02:04:40.1622347Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1622526Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1622546Z 
2022-11-23T02:04:40.1622668Z aten = torch.ops.aten
2022-11-23T02:04:40.1622870Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1623010Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1623029Z 
2022-11-23T02:04:40.1623048Z 
2022-11-23T02:04:40.1623250Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1623620Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1623802Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1623935Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1624086Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1624180Z {
2022-11-23T02:04:40.1624327Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1624426Z     {
2022-11-23T02:04:40.1624550Z         #pragma omp for 
2022-11-23T02:04:40.1624678Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T02:04:40.1624755Z         {
2022-11-23T02:04:40.1624988Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1625184Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1625316Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1625457Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1625565Z         }
2022-11-23T02:04:40.1625708Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1625815Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T02:04:40.1625915Z         {
2022-11-23T02:04:40.1626043Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1626166Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.1626298Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1626423Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.1626524Z         }
2022-11-23T02:04:40.1626598Z     }
2022-11-23T02:04:40.1626694Z }
2022-11-23T02:04:40.1626820Z ''')
2022-11-23T02:04:40.1626840Z 
2022-11-23T02:04:40.1626858Z 
2022-11-23T02:04:40.1626996Z async_compile.wait(globals())
2022-11-23T02:04:40.1627114Z del async_compile
2022-11-23T02:04:40.1627133Z 
2022-11-23T02:04:40.1627247Z def call(args):
2022-11-23T02:04:40.1627367Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1627456Z     args.clear()
2022-11-23T02:04:40.1627738Z     buf0 = empty_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1627967Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1628079Z     del arg0_1
2022-11-23T02:04:40.1628185Z     del arg1_1
2022-11-23T02:04:40.1628299Z     return (buf0, )
2022-11-23T02:04:40.1628318Z 
2022-11-23T02:04:40.1628337Z 
2022-11-23T02:04:40.1628457Z if __name__ == "__main__":
2022-11-23T02:04:40.1628625Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1628780Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1629076Z     arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1629424Z     arg1_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1629595Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1629615Z 
2022-11-23T02:04:40.1629633Z 
2022-11-23T02:04:40.1629771Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1629888Z import torch
2022-11-23T02:04:40.1629999Z import random
2022-11-23T02:04:40.1630168Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1630321Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1630340Z 
2022-11-23T02:04:40.1630467Z aten = torch.ops.aten
2022-11-23T02:04:40.1630656Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1630794Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1630813Z 
2022-11-23T02:04:40.1630832Z 
2022-11-23T02:04:40.1631026Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1631308Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1631486Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1631641Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1631764Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1631862Z {
2022-11-23T02:04:40.1632065Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1632170Z     {
2022-11-23T02:04:40.1632292Z         #pragma omp for 
2022-11-23T02:04:40.1632424Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T02:04:40.1632525Z         {
2022-11-23T02:04:40.1632712Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1632904Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1633094Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.1633220Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1633347Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1633483Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1633589Z         }
2022-11-23T02:04:40.1633708Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1633845Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T02:04:40.1633947Z         {
2022-11-23T02:04:40.1634079Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1634204Z             auto tmp3 = in_ptr1[i0];
2022-11-23T02:04:40.1634347Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.1634476Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1634578Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1634703Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:40.1634810Z         }
2022-11-23T02:04:40.1634908Z     }
2022-11-23T02:04:40.1635001Z }
2022-11-23T02:04:40.1635127Z ''')
2022-11-23T02:04:40.1635146Z 
2022-11-23T02:04:40.1635165Z 
2022-11-23T02:04:40.1635298Z async_compile.wait(globals())
2022-11-23T02:04:40.1635389Z del async_compile
2022-11-23T02:04:40.1635431Z 
2022-11-23T02:04:40.1635523Z def call(args):
2022-11-23T02:04:40.1635641Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1635752Z     args.clear()
2022-11-23T02:04:40.1636031Z     buf0 = empty_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1636261Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1636371Z     del arg0_1
2022-11-23T02:04:40.1636475Z     del arg1_1
2022-11-23T02:04:40.1636564Z     return (buf0, )
2022-11-23T02:04:40.1636583Z 
2022-11-23T02:04:40.1636601Z 
2022-11-23T02:04:40.1636721Z if __name__ == "__main__":
2022-11-23T02:04:40.1636886Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1637088Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1637363Z     arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1637636Z     arg1_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1637870Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1637889Z 
2022-11-23T02:04:40.1637907Z 
2022-11-23T02:04:40.1638051Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1638137Z import torch
2022-11-23T02:04:40.1638251Z import random
2022-11-23T02:04:40.1638423Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1638594Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1638613Z 
2022-11-23T02:04:40.1638732Z aten = torch.ops.aten
2022-11-23T02:04:40.1638929Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1639072Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1639092Z 
2022-11-23T02:04:40.1639111Z 
2022-11-23T02:04:40.1639313Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1639575Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1639748Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1639908Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1640052Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1640149Z {
2022-11-23T02:04:40.1640298Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1640399Z     {
2022-11-23T02:04:40.1640571Z         #pragma omp for 
2022-11-23T02:04:40.1640708Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:40.1640809Z         {
2022-11-23T02:04:40.1641012Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1641205Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1641338Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1641479Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1641557Z         }
2022-11-23T02:04:40.1641699Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1641826Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:40.1641926Z         {
2022-11-23T02:04:40.1642057Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1642187Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.1642313Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1642411Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.1642509Z         }
2022-11-23T02:04:40.1642612Z     }
2022-11-23T02:04:40.1642705Z }
2022-11-23T02:04:40.1642835Z ''')
2022-11-23T02:04:40.1642855Z 
2022-11-23T02:04:40.1642873Z 
2022-11-23T02:04:40.1643007Z async_compile.wait(globals())
2022-11-23T02:04:40.1643117Z del async_compile
2022-11-23T02:04:40.1643140Z 
2022-11-23T02:04:40.1643227Z def call(args):
2022-11-23T02:04:40.1643343Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1643451Z     args.clear()
2022-11-23T02:04:40.1643740Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1643971Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1644076Z     del arg0_1
2022-11-23T02:04:40.1644181Z     del arg1_1
2022-11-23T02:04:40.1644270Z     return (buf0, )
2022-11-23T02:04:40.1644310Z 
2022-11-23T02:04:40.1644328Z 
2022-11-23T02:04:40.1644421Z if __name__ == "__main__":
2022-11-23T02:04:40.1644584Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1644762Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1645033Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1645315Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1645479Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1645498Z 
2022-11-23T02:04:40.1645516Z 
2022-11-23T02:04:40.1645652Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1645757Z import torch
2022-11-23T02:04:40.1645845Z import random
2022-11-23T02:04:40.1646010Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1646178Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1646254Z 
2022-11-23T02:04:40.1646377Z aten = torch.ops.aten
2022-11-23T02:04:40.1646564Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1646700Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1646719Z 
2022-11-23T02:04:40.1646737Z 
2022-11-23T02:04:40.1646933Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1647215Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1647369Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1647519Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1647663Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1647757Z {
2022-11-23T02:04:40.1647898Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1647995Z     {
2022-11-23T02:04:40.1648110Z         #pragma omp for 
2022-11-23T02:04:40.1648212Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:40.1648309Z         {
2022-11-23T02:04:40.1648503Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1648686Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1648924Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.1649060Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1649183Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1649296Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1649392Z         }
2022-11-23T02:04:40.1649528Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1649647Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:40.1649741Z         {
2022-11-23T02:04:40.1649863Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1649983Z             auto tmp3 = in_ptr1[i0];
2022-11-23T02:04:40.1650107Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.1650229Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1650360Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1650479Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:40.1650571Z         }
2022-11-23T02:04:40.1650665Z     }
2022-11-23T02:04:40.1650757Z }
2022-11-23T02:04:40.1650867Z ''')
2022-11-23T02:04:40.1650887Z 
2022-11-23T02:04:40.1650909Z 
2022-11-23T02:04:40.1651041Z async_compile.wait(globals())
2022-11-23T02:04:40.1651151Z del async_compile
2022-11-23T02:04:40.1651171Z 
2022-11-23T02:04:40.1651278Z def call(args):
2022-11-23T02:04:40.1651391Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1651496Z     args.clear()
2022-11-23T02:04:40.1651780Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1651987Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1652094Z     del arg0_1
2022-11-23T02:04:40.1652198Z     del arg1_1
2022-11-23T02:04:40.1652305Z     return (buf0, )
2022-11-23T02:04:40.1652325Z 
2022-11-23T02:04:40.1652347Z 
2022-11-23T02:04:40.1652458Z if __name__ == "__main__":
2022-11-23T02:04:40.1652621Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1652796Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1653069Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1653330Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1653498Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1653517Z 
2022-11-23T02:04:40.1654014Z [2022-11-23 02:01:56,343] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/si/csid4srtxx2yja2ub26xulacba6uc3im5cumhdqwh5x2h7uf6z4y.py
2022-11-23T02:04:40.1654373Z [2022-11-23 02:01:56,343] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 371
2022-11-23T02:04:40.1654699Z [2022-11-23 02:01:56,349] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1655229Z [2022-11-23 02:01:56,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1655535Z [2022-11-23 02:01:56,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1655883Z [2022-11-23 02:01:56,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1656933Z [2022-11-23 02:01:56,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1657732Z [2022-11-23 02:01:56,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1658339Z [2022-11-23 02:01:56,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1658784Z [2022-11-23 02:01:56,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1659437Z [2022-11-23 02:01:56,351] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T02:04:40.1659586Z  943           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1659722Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:40.1659844Z               4 BINARY_ADD
2022-11-23T02:04:40.1659988Z               6 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1660124Z               8 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1660232Z              10 CALL_METHOD              1
2022-11-23T02:04:40.1660372Z              12 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1660488Z              14 BINARY_ADD
2022-11-23T02:04:40.1660628Z              16 BUILD_TUPLE              1
2022-11-23T02:04:40.1660750Z              18 RETURN_VALUE
2022-11-23T02:04:40.1660851Z  
2022-11-23T02:04:40.1660870Z 
2022-11-23T02:04:40.1661304Z [2022-11-23 02:01:56,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T02:04:40.1661599Z [2022-11-23 02:01:56,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1661906Z [2022-11-23 02:01:56,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.1662291Z [2022-11-23 02:01:56,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1662629Z [2022-11-23 02:01:56,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1663012Z [2022-11-23 02:01:56,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1663422Z [2022-11-23 02:01:56,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1663752Z [2022-11-23 02:01:56,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1664123Z [2022-11-23 02:01:56,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1664455Z [2022-11-23 02:01:56,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1664788Z [2022-11-23 02:01:56,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1665295Z [2022-11-23 02:01:56,358] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T02:04:40.1665609Z [2022-11-23 02:01:56,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1666028Z [2022-11-23 02:01:56,358] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1666380Z [2022-11-23 02:01:56,360] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1666717Z [2022-11-23 02:01:56,367] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1666981Z [2022-11-23 02:01:56,367] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1667173Z  __compiled_fn_380 <eval_with_key>.2759 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1667307Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1667440Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1667665Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:40.1667825Z call_method, view, view, (add, [10, 1, 10, 1, 10]), {}
2022-11-23T02:04:40.1668083Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1668231Z output, output, output, ((add_1,),), {}
2022-11-23T02:04:40.1668252Z 
2022-11-23T02:04:40.1668747Z [2022-11-23 02:01:56,368] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1668897Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1669035Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1669168Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1669283Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1669420Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1669556Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1669676Z              12 RETURN_VALUE
2022-11-23T02:04:40.1669696Z 
2022-11-23T02:04:40.1669793Z  
2022-11-23T02:04:40.1670231Z [2022-11-23 02:01:56,368] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1670394Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_380)
2022-11-23T02:04:40.1670530Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1670644Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1670767Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1670905Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1671039Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1671156Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1671282Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1671439Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1671602Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1671753Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1671885Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1672026Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1672179Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1672316Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1672434Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1672549Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1672692Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1672841Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1672976Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1673095Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1673247Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1673395Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1673516Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1673647Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1673763Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1674048Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1674164Z              54 RETURN_VALUE
2022-11-23T02:04:40.1674184Z 
2022-11-23T02:04:40.1674285Z  
2022-11-23T02:04:40.1674569Z [2022-11-23 02:01:56,371] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1674682Z  - 
2022-11-23T02:04:40.1674830Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1674935Z             {
2022-11-23T02:04:40.1675137Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1675396Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1675575Z                 'obj_weakref': None
2022-11-23T02:04:40.1675885Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1675988Z             }
2022-11-23T02:04:40.1676065Z             
2022-11-23T02:04:40.1676173Z  - 
2022-11-23T02:04:40.1676353Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1676459Z             {
2022-11-23T02:04:40.1676665Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1676824Z                 'code': None,
2022-11-23T02:04:40.1677124Z                 'obj_weakref': <weakref at 0x7fa51c3a38d0; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1677500Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1677608Z             }
2022-11-23T02:04:40.1677709Z             
2022-11-23T02:04:40.1677823Z  - 
2022-11-23T02:04:40.1678006Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1678107Z             {
2022-11-23T02:04:40.1678318Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1678453Z                 'code': None,
2022-11-23T02:04:40.1678747Z                 'obj_weakref': <weakref at 0x7fa51c3a13f0; to 'Tensor' at 0x7fa532311f80>
2022-11-23T02:04:40.1679091Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1679198Z             }
2022-11-23T02:04:40.1679297Z             
2022-11-23T02:04:40.1679409Z  - 
2022-11-23T02:04:40.1679597Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1679675Z             {
2022-11-23T02:04:40.1679871Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1680111Z                 'code': ['___check_obj_id(model, 140347991889744)'],
2022-11-23T02:04:40.1680288Z                 'obj_weakref': None
2022-11-23T02:04:40.1680610Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1680713Z             }
2022-11-23T02:04:40.1680810Z             
2022-11-23T02:04:40.1680897Z  - 
2022-11-23T02:04:40.1681075Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1681174Z             {
2022-11-23T02:04:40.1681371Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1681665Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1681840Z                 'obj_weakref': None
2022-11-23T02:04:40.1682147Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1682224Z             }
2022-11-23T02:04:40.1682326Z             
2022-11-23T02:04:40.1682431Z  - 
2022-11-23T02:04:40.1682675Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1682779Z             {
2022-11-23T02:04:40.1683015Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1684101Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 5', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[4], 93849050129792)', 'model.__closure__[0].cell_contents == [10, 1, 10, 1, 10]'],
2022-11-23T02:04:40.1684329Z                 'obj_weakref': None
2022-11-23T02:04:40.1684636Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1684718Z             }
2022-11-23T02:04:40.1684812Z             
2022-11-23T02:04:40.1684916Z  - 
2022-11-23T02:04:40.1685171Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1685266Z             {
2022-11-23T02:04:40.1685465Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1685846Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T02:04:40.1685998Z                 'obj_weakref': None
2022-11-23T02:04:40.1686299Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1686399Z             }
2022-11-23T02:04:40.1686496Z             
2022-11-23T02:04:40.1686601Z  - 
2022-11-23T02:04:40.1686850Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1687001Z             {
2022-11-23T02:04:40.1687190Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1687564Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T02:04:40.1687730Z                 'obj_weakref': None
2022-11-23T02:04:40.1688031Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1688127Z             }
2022-11-23T02:04:40.1688223Z             
2022-11-23T02:04:40.1688326Z  - 
2022-11-23T02:04:40.1688622Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:40.1688723Z             {
2022-11-23T02:04:40.1688926Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1689303Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 10'],
2022-11-23T02:04:40.1689473Z                 'obj_weakref': None
2022-11-23T02:04:40.1689772Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1689866Z             }
2022-11-23T02:04:40.1689943Z             
2022-11-23T02:04:40.1690049Z  - 
2022-11-23T02:04:40.1690297Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T02:04:40.1690395Z             {
2022-11-23T02:04:40.1690590Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1690968Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T02:04:40.1691140Z                 'obj_weakref': None
2022-11-23T02:04:40.1691440Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1691518Z             }
2022-11-23T02:04:40.1691613Z             
2022-11-23T02:04:40.1691719Z  - 
2022-11-23T02:04:40.1691972Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T02:04:40.1692069Z             {
2022-11-23T02:04:40.1692265Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1692641Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 93849050129792)', 'model.__closure__[0].cell_contents[4] == 10'],
2022-11-23T02:04:40.1692793Z                 'obj_weakref': None
2022-11-23T02:04:40.1693089Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1693183Z             }
2022-11-23T02:04:40.1693279Z             
2022-11-23T02:04:40.1693633Z [2022-11-23 02:01:56,383] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 372
2022-11-23T02:04:40.1694201Z [2022-11-23 02:01:56,401] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/is/ciswxxzfmcwt4zuwtyzeybjtsyyj5v77n5bwxmo45nc7quu646nq.py
2022-11-23T02:04:40.1694566Z [2022-11-23 02:01:56,401] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 372
2022-11-23T02:04:40.1694894Z [2022-11-23 02:01:56,407] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1695302Z [2022-11-23 02:01:56,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1695598Z [2022-11-23 02:01:56,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1695936Z [2022-11-23 02:01:56,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1696976Z [2022-11-23 02:01:56,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1697777Z [2022-11-23 02:01:56,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1698426Z [2022-11-23 02:01:56,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1698872Z [2022-11-23 02:01:56,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1699378Z [2022-11-23 02:01:56,408] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T02:04:40.1699515Z  940           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1699655Z               2 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1699777Z               4 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1699908Z               6 CALL_METHOD              1
2022-11-23T02:04:40.1700043Z               8 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1700150Z              10 BINARY_ADD
2022-11-23T02:04:40.1700280Z              12 BUILD_TUPLE              1
2022-11-23T02:04:40.1700395Z              14 RETURN_VALUE
2022-11-23T02:04:40.1700488Z  
2022-11-23T02:04:40.1700511Z 
2022-11-23T02:04:40.1700915Z [2022-11-23 02:01:56,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T02:04:40.1701207Z [2022-11-23 02:01:56,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1701536Z [2022-11-23 02:01:56,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1701921Z [2022-11-23 02:01:56,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1702333Z [2022-11-23 02:01:56,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1702656Z [2022-11-23 02:01:56,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1703027Z [2022-11-23 02:01:56,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1703351Z [2022-11-23 02:01:56,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1703687Z [2022-11-23 02:01:56,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1704198Z [2022-11-23 02:01:56,413] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7fa64115b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T02:04:40.1704510Z [2022-11-23 02:01:56,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1704949Z [2022-11-23 02:01:56,413] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1705293Z [2022-11-23 02:01:56,416] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1705631Z [2022-11-23 02:01:56,421] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1705890Z [2022-11-23 02:01:56,422] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1706079Z  __compiled_fn_381 <eval_with_key>.2765 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1706210Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1706338Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1706469Z call_method, view, view, (ex_0_, [2, 2, 2, 2]), {}
2022-11-23T02:04:40.1706721Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1706865Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.1706885Z 
2022-11-23T02:04:40.1707326Z [2022-11-23 02:01:56,423] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1707517Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1707655Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1707786Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1707923Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1708028Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1708158Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1708271Z              12 RETURN_VALUE
2022-11-23T02:04:40.1708290Z 
2022-11-23T02:04:40.1708382Z  
2022-11-23T02:04:40.1708814Z [2022-11-23 02:01:56,423] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1708977Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_381)
2022-11-23T02:04:40.1709113Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1709246Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1709345Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1709478Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1709612Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1709725Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1709854Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1710004Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1710190Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1710311Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1710437Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1710577Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1710728Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1710854Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1710967Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1711101Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1711218Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1711363Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1711492Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1711605Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1711753Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1711886Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1712027Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1712155Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1712250Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1712479Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1712592Z              54 RETURN_VALUE
2022-11-23T02:04:40.1712612Z 
2022-11-23T02:04:40.1712703Z  
2022-11-23T02:04:40.1712965Z [2022-11-23 02:01:56,425] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1713076Z  - 
2022-11-23T02:04:40.1713245Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1713324Z             {
2022-11-23T02:04:40.1713524Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1713781Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1713953Z                 'obj_weakref': None
2022-11-23T02:04:40.1714262Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1714359Z             }
2022-11-23T02:04:40.1714456Z             
2022-11-23T02:04:40.1714542Z  - 
2022-11-23T02:04:40.1714721Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1714817Z             {
2022-11-23T02:04:40.1715020Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1715173Z                 'code': None,
2022-11-23T02:04:40.1715461Z                 'obj_weakref': <weakref at 0x7fa52467c6d0; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1715856Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1715941Z             }
2022-11-23T02:04:40.1716036Z             
2022-11-23T02:04:40.1716142Z  - 
2022-11-23T02:04:40.1716317Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1716414Z             {
2022-11-23T02:04:40.1716613Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1716765Z                 'code': None,
2022-11-23T02:04:40.1717033Z                 'obj_weakref': <weakref at 0x7fa52467cea0; to 'Tensor' at 0x7fa531f317b0>
2022-11-23T02:04:40.1717375Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1717475Z             }
2022-11-23T02:04:40.1717571Z             
2022-11-23T02:04:40.1717677Z  - 
2022-11-23T02:04:40.1717860Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1717956Z             {
2022-11-23T02:04:40.1718130Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1718364Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.1718533Z                 'obj_weakref': None
2022-11-23T02:04:40.1718847Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1718944Z             }
2022-11-23T02:04:40.1719044Z             
2022-11-23T02:04:40.1719153Z  - 
2022-11-23T02:04:40.1719306Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1719406Z             {
2022-11-23T02:04:40.1719596Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1719885Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1720059Z                 'obj_weakref': None
2022-11-23T02:04:40.1720364Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1720463Z             }
2022-11-23T02:04:40.1720539Z             
2022-11-23T02:04:40.1720647Z  - 
2022-11-23T02:04:40.1720894Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1720991Z             {
2022-11-23T02:04:40.1721221Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1722176Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents == [2, 2, 2, 2]'],
2022-11-23T02:04:40.1722448Z                 'obj_weakref': None
2022-11-23T02:04:40.1722750Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1722848Z             }
2022-11-23T02:04:40.1722931Z             
2022-11-23T02:04:40.1723037Z  - 
2022-11-23T02:04:40.1723290Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1723393Z             {
2022-11-23T02:04:40.1723591Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1723974Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T02:04:40.1724141Z                 'obj_weakref': None
2022-11-23T02:04:40.1724422Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1724519Z             }
2022-11-23T02:04:40.1724618Z             
2022-11-23T02:04:40.1724723Z  - 
2022-11-23T02:04:40.1724976Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1725072Z             {
2022-11-23T02:04:40.1725270Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1725688Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T02:04:40.1725868Z                 'obj_weakref': None
2022-11-23T02:04:40.1726171Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1726267Z             }
2022-11-23T02:04:40.1726363Z             
2022-11-23T02:04:40.1726470Z  - 
2022-11-23T02:04:40.1726723Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:40.1726800Z             {
2022-11-23T02:04:40.1726998Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1727372Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 2'],
2022-11-23T02:04:40.1727547Z                 'obj_weakref': None
2022-11-23T02:04:40.1727848Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1727948Z             }
2022-11-23T02:04:40.1728045Z             
2022-11-23T02:04:40.1728134Z  - 
2022-11-23T02:04:40.1728388Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T02:04:40.1728485Z             {
2022-11-23T02:04:40.1728682Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1729059Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents[3] == 2'],
2022-11-23T02:04:40.1729222Z                 'obj_weakref': None
2022-11-23T02:04:40.1729525Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1729628Z             }
2022-11-23T02:04:40.1729704Z             
2022-11-23T02:04:40.1730062Z [2022-11-23 02:01:56,438] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 373
2022-11-23T02:04:40.1730560Z [2022-11-23 02:01:56,456] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4v/c4v3mmnqtyuryavjjtswojhfthep6zh5zgq6hxs6ibt4yoivalee.py
2022-11-23T02:04:40.1730924Z [2022-11-23 02:01:56,456] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 373
2022-11-23T02:04:40.1731250Z [2022-11-23 02:01:56,462] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1731675Z [2022-11-23 02:01:56,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1731974Z [2022-11-23 02:01:56,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1732395Z [2022-11-23 02:01:56,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1732779Z [2022-11-23 02:01:56,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1733197Z [2022-11-23 02:01:56,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1733664Z [2022-11-23 02:01:56,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1734098Z [2022-11-23 02:01:56,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1734598Z [2022-11-23 02:01:56,463] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T02:04:40.1734740Z  943           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1734875Z               2 LOAD_CONST               1 (1)
2022-11-23T02:04:40.1734989Z               4 BINARY_ADD
2022-11-23T02:04:40.1735187Z               6 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1735329Z               8 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1735437Z              10 CALL_METHOD              1
2022-11-23T02:04:40.1735572Z              12 LOAD_FAST                1 (y)
2022-11-23T02:04:40.1735683Z              14 BINARY_ADD
2022-11-23T02:04:40.1735814Z              16 BUILD_TUPLE              1
2022-11-23T02:04:40.1735928Z              18 RETURN_VALUE
2022-11-23T02:04:40.1736680Z  
2022-11-23T02:04:40.1736716Z 
2022-11-23T02:04:40.1737543Z [2022-11-23 02:01:56,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T02:04:40.1737915Z [2022-11-23 02:01:56,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1738252Z [2022-11-23 02:01:56,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.1738634Z [2022-11-23 02:01:56,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1738961Z [2022-11-23 02:01:56,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1739336Z [2022-11-23 02:01:56,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1739740Z [2022-11-23 02:01:56,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1740061Z [2022-11-23 02:01:56,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T02:04:40.1740428Z [2022-11-23 02:01:56,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.1740760Z [2022-11-23 02:01:56,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1741096Z [2022-11-23 02:01:56,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1741585Z [2022-11-23 02:01:56,470] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa64115b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T02:04:40.1741919Z [2022-11-23 02:01:56,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1742237Z [2022-11-23 02:01:56,470] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1742579Z [2022-11-23 02:01:56,473] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1743094Z [2022-11-23 02:01:56,479] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1743356Z [2022-11-23 02:01:56,480] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1743549Z  __compiled_fn_382 <eval_with_key>.2771 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1743682Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1743790Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.1744028Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:40.1744175Z call_method, view, view, (add, [2, 2, 2, 2]), {}
2022-11-23T02:04:40.1744425Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T02:04:40.1744562Z output, output, output, ((add_1,),), {}
2022-11-23T02:04:40.1744585Z 
2022-11-23T02:04:40.1745020Z [2022-11-23 02:01:56,481] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1745162Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1745294Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1745403Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1745540Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1745764Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1745903Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1746019Z              12 RETURN_VALUE
2022-11-23T02:04:40.1746039Z 
2022-11-23T02:04:40.1746132Z  
2022-11-23T02:04:40.1746566Z [2022-11-23 02:01:56,481] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1746723Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_382)
2022-11-23T02:04:40.1746836Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1746968Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1747085Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1747220Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1747353Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1747468Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.1747595Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.1747729Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1747914Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1748051Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1748181Z              22 CALL_FUNCTION            0
2022-11-23T02:04:40.1748320Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1748464Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1748594Z              28 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1748707Z              30 BINARY_SUBSCR
2022-11-23T02:04:40.1748817Z              32 BUILD_TUPLE              1
2022-11-23T02:04:40.1748955Z              34 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1749099Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1749225Z              38 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1749342Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.1749491Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1749623Z              44 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1749742Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1749870Z              48 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1749986Z              50 BINARY_SUBSCR
2022-11-23T02:04:40.1750129Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1750241Z              54 RETURN_VALUE
2022-11-23T02:04:40.1750260Z 
2022-11-23T02:04:40.1750349Z  
2022-11-23T02:04:40.1750609Z [2022-11-23 02:01:56,483] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1750760Z  - 
2022-11-23T02:04:40.1750926Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1751024Z             {
2022-11-23T02:04:40.1751222Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1751478Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.1751654Z                 'obj_weakref': None
2022-11-23T02:04:40.1751964Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1752043Z             }
2022-11-23T02:04:40.1752139Z             
2022-11-23T02:04:40.1752246Z  - 
2022-11-23T02:04:40.1752421Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1752517Z             {
2022-11-23T02:04:40.1752718Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1752872Z                 'code': None,
2022-11-23T02:04:40.1753145Z                 'obj_weakref': <weakref at 0x7fa531f31e90; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1753491Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1753593Z             }
2022-11-23T02:04:40.1753689Z             
2022-11-23T02:04:40.1753794Z  - 
2022-11-23T02:04:40.1753968Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.1754117Z             {
2022-11-23T02:04:40.1754304Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1754455Z                 'code': None,
2022-11-23T02:04:40.1754764Z                 'obj_weakref': <weakref at 0x7fa531f30d10; to 'Tensor' at 0x7fa5500e5620>
2022-11-23T02:04:40.1755107Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1755204Z             }
2022-11-23T02:04:40.1755298Z             
2022-11-23T02:04:40.1755402Z  - 
2022-11-23T02:04:40.1755564Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1755660Z             {
2022-11-23T02:04:40.1755846Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1756082Z                 'code': ['___check_obj_id(model, 140347991889744)'],
2022-11-23T02:04:40.1756249Z                 'obj_weakref': None
2022-11-23T02:04:40.1756555Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1756658Z             }
2022-11-23T02:04:40.1756737Z             
2022-11-23T02:04:40.1756845Z  - 
2022-11-23T02:04:40.1757017Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1757116Z             {
2022-11-23T02:04:40.1757307Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1757597Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1757765Z                 'obj_weakref': None
2022-11-23T02:04:40.1758048Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1758144Z             }
2022-11-23T02:04:40.1758240Z             
2022-11-23T02:04:40.1758348Z  - 
2022-11-23T02:04:40.1758596Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1758692Z             {
2022-11-23T02:04:40.1758922Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1759872Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents == [2, 2, 2, 2]'],
2022-11-23T02:04:40.1760047Z                 'obj_weakref': None
2022-11-23T02:04:40.1760328Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1760425Z             }
2022-11-23T02:04:40.1760584Z             
2022-11-23T02:04:40.1760690Z  - 
2022-11-23T02:04:40.1760944Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1761038Z             {
2022-11-23T02:04:40.1761236Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1761597Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T02:04:40.1761768Z                 'obj_weakref': None
2022-11-23T02:04:40.1762070Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1762166Z             }
2022-11-23T02:04:40.1762260Z             
2022-11-23T02:04:40.1762364Z  - 
2022-11-23T02:04:40.1762618Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1762695Z             {
2022-11-23T02:04:40.1762893Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1763272Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T02:04:40.1763444Z                 'obj_weakref': None
2022-11-23T02:04:40.1763800Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1763901Z             }
2022-11-23T02:04:40.1763996Z             
2022-11-23T02:04:40.1764085Z  - 
2022-11-23T02:04:40.1764336Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:40.1764432Z             {
2022-11-23T02:04:40.1764630Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1765005Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 2'],
2022-11-23T02:04:40.1765173Z                 'obj_weakref': None
2022-11-23T02:04:40.1765473Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1765574Z             }
2022-11-23T02:04:40.1765651Z             
2022-11-23T02:04:40.1765752Z  - 
2022-11-23T02:04:40.1766002Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T02:04:40.1766098Z             {
2022-11-23T02:04:40.1766297Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1766670Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93849050129792)', 'model.__closure__[0].cell_contents[3] == 2'],
2022-11-23T02:04:40.1766840Z                 'obj_weakref': None
2022-11-23T02:04:40.1767117Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1767215Z             }
2022-11-23T02:04:40.1767311Z             
2022-11-23T02:04:40.1767662Z [2022-11-23 02:01:56,495] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 374
2022-11-23T02:04:40.1768154Z [2022-11-23 02:01:56,515] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/up/cupz6qheh6bzo3wnouoz6rfkl7zd452c6mzhm27ks6ql7n2ykjuo.py
2022-11-23T02:04:40.1768519Z [2022-11-23 02:01:56,515] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 374
2022-11-23T02:04:40.1768541Z 
2022-11-23T02:04:40.1768681Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1768786Z import torch
2022-11-23T02:04:40.1768871Z import random
2022-11-23T02:04:40.1769035Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1769207Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1769227Z 
2022-11-23T02:04:40.1769342Z aten = torch.ops.aten
2022-11-23T02:04:40.1769532Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1769667Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1769687Z 
2022-11-23T02:04:40.1769706Z 
2022-11-23T02:04:40.1769900Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1770178Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1770396Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1770546Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1770696Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1770787Z {
2022-11-23T02:04:40.1770925Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1771019Z     {
2022-11-23T02:04:40.1771131Z         #pragma omp for 
2022-11-23T02:04:40.1771233Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T02:04:40.1771329Z         {
2022-11-23T02:04:40.1771551Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1771742Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1771868Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1771998Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1772093Z         }
2022-11-23T02:04:40.1772216Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1772341Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T02:04:40.1772435Z         {
2022-11-23T02:04:40.1772558Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1772682Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.1772858Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1772985Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.1773062Z         }
2022-11-23T02:04:40.1773156Z     }
2022-11-23T02:04:40.1773245Z }
2022-11-23T02:04:40.1773370Z ''')
2022-11-23T02:04:40.1773390Z 
2022-11-23T02:04:40.1773410Z 
2022-11-23T02:04:40.1773540Z async_compile.wait(globals())
2022-11-23T02:04:40.1773650Z del async_compile
2022-11-23T02:04:40.1773669Z 
2022-11-23T02:04:40.1773776Z def call(args):
2022-11-23T02:04:40.1773870Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1773977Z     args.clear()
2022-11-23T02:04:40.1774295Z     buf0 = empty_strided((10, 1, 10, 1, 10), (100, 1000, 10, 1000, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1774530Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1774631Z     del arg0_1
2022-11-23T02:04:40.1774731Z     del arg1_1
2022-11-23T02:04:40.1774840Z     return (buf0, )
2022-11-23T02:04:40.1774918Z 
2022-11-23T02:04:40.1774939Z 
2022-11-23T02:04:40.1775052Z if __name__ == "__main__":
2022-11-23T02:04:40.1775196Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1775373Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1775659Z     arg0_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1775973Z     arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1776920Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1776952Z 
2022-11-23T02:04:40.1776980Z 
2022-11-23T02:04:40.1777212Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1777394Z import torch
2022-11-23T02:04:40.1777566Z import random
2022-11-23T02:04:40.1777822Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1778109Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1778136Z 
2022-11-23T02:04:40.1778271Z aten = torch.ops.aten
2022-11-23T02:04:40.1778460Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1778594Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1778613Z 
2022-11-23T02:04:40.1778633Z 
2022-11-23T02:04:40.1778848Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1779129Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1779297Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1779428Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1779575Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1779669Z {
2022-11-23T02:04:40.1779967Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1780063Z     {
2022-11-23T02:04:40.1780180Z         #pragma omp for 
2022-11-23T02:04:40.1780302Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T02:04:40.1780379Z         {
2022-11-23T02:04:40.1780588Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1780777Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1780956Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.1781081Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1781203Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1781332Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1781408Z         }
2022-11-23T02:04:40.1781548Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1781674Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T02:04:40.1781769Z         {
2022-11-23T02:04:40.1781893Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1782019Z             auto tmp3 = in_ptr1[i0];
2022-11-23T02:04:40.1782158Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.1782261Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1782383Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1782580Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:40.1782684Z         }
2022-11-23T02:04:40.1782777Z     }
2022-11-23T02:04:40.1782868Z }
2022-11-23T02:04:40.1782995Z ''')
2022-11-23T02:04:40.1783016Z 
2022-11-23T02:04:40.1783034Z 
2022-11-23T02:04:40.1783149Z async_compile.wait(globals())
2022-11-23T02:04:40.1783260Z del async_compile
2022-11-23T02:04:40.1783279Z 
2022-11-23T02:04:40.1783386Z def call(args):
2022-11-23T02:04:40.1783498Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1783604Z     args.clear()
2022-11-23T02:04:40.1783922Z     buf0 = empty_strided((10, 1, 10, 1, 10), (100, 1000, 10, 1000, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1784152Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1784262Z     del arg0_1
2022-11-23T02:04:40.1784344Z     del arg1_1
2022-11-23T02:04:40.1784452Z     return (buf0, )
2022-11-23T02:04:40.1784471Z 
2022-11-23T02:04:40.1784490Z 
2022-11-23T02:04:40.1784605Z if __name__ == "__main__":
2022-11-23T02:04:40.1784770Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1784944Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1785223Z     arg0_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1785532Z     arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1785701Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1785720Z 
2022-11-23T02:04:40.1785738Z 
2022-11-23T02:04:40.1785855Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1785963Z import torch
2022-11-23T02:04:40.1786071Z import random
2022-11-23T02:04:40.1786237Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1786407Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1786427Z 
2022-11-23T02:04:40.1786544Z aten = torch.ops.aten
2022-11-23T02:04:40.1786734Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1786851Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1786891Z 
2022-11-23T02:04:40.1786910Z 
2022-11-23T02:04:40.1787084Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1787362Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1787532Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1787682Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1787828Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1787922Z {
2022-11-23T02:04:40.1788064Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1788237Z     {
2022-11-23T02:04:40.1788354Z         #pragma omp for 
2022-11-23T02:04:40.1788475Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:40.1788626Z         {
2022-11-23T02:04:40.1788832Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1789021Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1789147Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1789262Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1789359Z         }
2022-11-23T02:04:40.1789497Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1789620Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T02:04:40.1789716Z         {
2022-11-23T02:04:40.1789842Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1789963Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.1790065Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1790185Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.1790285Z         }
2022-11-23T02:04:40.1790380Z     }
2022-11-23T02:04:40.1790470Z }
2022-11-23T02:04:40.1790595Z ''')
2022-11-23T02:04:40.1790614Z 
2022-11-23T02:04:40.1790632Z 
2022-11-23T02:04:40.1790768Z async_compile.wait(globals())
2022-11-23T02:04:40.1790858Z del async_compile
2022-11-23T02:04:40.1790958Z 
2022-11-23T02:04:40.1791053Z def call(args):
2022-11-23T02:04:40.1791165Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1791273Z     args.clear()
2022-11-23T02:04:40.1791571Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1791797Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1791904Z     del arg0_1
2022-11-23T02:04:40.1791987Z     del arg1_1
2022-11-23T02:04:40.1792096Z     return (buf0, )
2022-11-23T02:04:40.1792116Z 
2022-11-23T02:04:40.1792134Z 
2022-11-23T02:04:40.1792248Z if __name__ == "__main__":
2022-11-23T02:04:40.1792409Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1792589Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1792861Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1793152Z     arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1793318Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1793338Z 
2022-11-23T02:04:40.1793356Z 
2022-11-23T02:04:40.1793493Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1793580Z import torch
2022-11-23T02:04:40.1793688Z import random
2022-11-23T02:04:40.1793851Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1794024Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1794043Z 
2022-11-23T02:04:40.1794161Z aten = torch.ops.aten
2022-11-23T02:04:40.1794345Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1794478Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1794501Z 
2022-11-23T02:04:40.1794519Z 
2022-11-23T02:04:40.1794712Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1794975Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1795146Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1795294Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.1795438Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1795532Z {
2022-11-23T02:04:40.1795674Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1795768Z     {
2022-11-23T02:04:40.1795864Z         #pragma omp for 
2022-11-23T02:04:40.1795984Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:40.1796079Z         {
2022-11-23T02:04:40.1796268Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1796450Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.1796634Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.1796830Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1796932Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1797066Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1797168Z         }
2022-11-23T02:04:40.1797309Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1797434Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T02:04:40.1797528Z         {
2022-11-23T02:04:40.1797652Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1797753Z             auto tmp3 = in_ptr1[i0];
2022-11-23T02:04:40.1797899Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.1798023Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1798146Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1798265Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:40.1798363Z         }
2022-11-23T02:04:40.1798458Z     }
2022-11-23T02:04:40.1798530Z }
2022-11-23T02:04:40.1798659Z ''')
2022-11-23T02:04:40.1798679Z 
2022-11-23T02:04:40.1798697Z 
2022-11-23T02:04:40.1798833Z async_compile.wait(globals())
2022-11-23T02:04:40.1798942Z del async_compile
2022-11-23T02:04:40.1798961Z 
2022-11-23T02:04:40.1799068Z def call(args):
2022-11-23T02:04:40.1799181Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.1799344Z     args.clear()
2022-11-23T02:04:40.1799619Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1799852Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1799958Z     del arg0_1
2022-11-23T02:04:40.1800056Z     del arg1_1
2022-11-23T02:04:40.1800163Z     return (buf0, )
2022-11-23T02:04:40.1800182Z 
2022-11-23T02:04:40.1800201Z 
2022-11-23T02:04:40.1800314Z if __name__ == "__main__":
2022-11-23T02:04:40.1800478Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1800650Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1800908Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1801189Z     arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1801354Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.1801377Z 
2022-11-23T02:04:40.1801478Z ok (27.689s)
2022-11-23T02:04:40.1801891Z   test_views2_cpu (__main__.CpuTests) ... [2022-11-23 02:01:56,522] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1802320Z [2022-11-23 02:01:56,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1802614Z [2022-11-23 02:01:56,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1802960Z [2022-11-23 02:01:56,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1803338Z [2022-11-23 02:01:56,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1803756Z [2022-11-23 02:01:56,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1804221Z [2022-11-23 02:01:56,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1804653Z [2022-11-23 02:01:56,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1805157Z [2022-11-23 02:01:56,524] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7fa64115b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963> 
2022-11-23T02:04:40.1805296Z  964           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1805434Z               2 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1805648Z               4 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1805778Z               6 CALL_METHOD              1
2022-11-23T02:04:40.1805908Z               8 LOAD_CONST               1 (1)
2022-11-23T02:04:40.1806002Z              10 BINARY_ADD
2022-11-23T02:04:40.1806134Z              12 BUILD_TUPLE              1
2022-11-23T02:04:40.1806249Z              14 RETURN_VALUE
2022-11-23T02:04:40.1806343Z  
2022-11-23T02:04:40.1806363Z 
2022-11-23T02:04:40.1806884Z [2022-11-23 02:01:56,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964
2022-11-23T02:04:40.1807172Z [2022-11-23 02:01:56,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1807501Z [2022-11-23 02:01:56,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1807883Z [2022-11-23 02:01:56,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1808277Z [2022-11-23 02:01:56,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1808656Z [2022-11-23 02:01:56,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.1809044Z [2022-11-23 02:01:56,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1809370Z [2022-11-23 02:01:56,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1809704Z [2022-11-23 02:01:56,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1810215Z [2022-11-23 02:01:56,529] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7fa64115b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963>
2022-11-23T02:04:40.1810552Z [2022-11-23 02:01:56,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1810871Z [2022-11-23 02:01:56,529] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1811223Z [2022-11-23 02:01:56,531] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1811559Z [2022-11-23 02:01:56,537] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1811801Z [2022-11-23 02:01:56,537] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1811990Z  __compiled_fn_383 <eval_with_key>.2777 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1812125Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1812329Z call_method, view, view, (ex_0_, [4, -1]), {}
2022-11-23T02:04:40.1812568Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T02:04:40.1812713Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.1812733Z 
2022-11-23T02:04:40.1813176Z [2022-11-23 02:01:56,538] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1813318Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1813434Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1813567Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1813727Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1813830Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1813962Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1814076Z              12 RETURN_VALUE
2022-11-23T02:04:40.1814096Z 
2022-11-23T02:04:40.1814199Z  
2022-11-23T02:04:40.1814606Z [2022-11-23 02:01:56,538] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1814865Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_383)
2022-11-23T02:04:40.1814963Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1815093Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1815208Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1815341Z               8 CALL_FUNCTION            1
2022-11-23T02:04:40.1815493Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1815676Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1815796Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1815922Z              16 CALL_FUNCTION            0
2022-11-23T02:04:40.1816470Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1816761Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1816933Z              22 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1817110Z              24 BINARY_SUBSCR
2022-11-23T02:04:40.1817321Z              26 BUILD_TUPLE              1
2022-11-23T02:04:40.1817510Z              28 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1817747Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1818133Z              32 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1818266Z              34 BINARY_SUBSCR
2022-11-23T02:04:40.1818413Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1818546Z              38 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1818684Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1818794Z              42 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1818910Z              44 BINARY_SUBSCR
2022-11-23T02:04:40.1819055Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1819167Z              48 RETURN_VALUE
2022-11-23T02:04:40.1819187Z 
2022-11-23T02:04:40.1819276Z  
2022-11-23T02:04:40.1819563Z [2022-11-23 02:01:56,540] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1819678Z  - 
2022-11-23T02:04:40.1819845Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1819925Z             {
2022-11-23T02:04:40.1820125Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1820382Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:40.1820555Z                 'obj_weakref': None
2022-11-23T02:04:40.1820863Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1820962Z             }
2022-11-23T02:04:40.1821056Z             
2022-11-23T02:04:40.1821142Z  - 
2022-11-23T02:04:40.1821316Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1821415Z             {
2022-11-23T02:04:40.1821615Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1821767Z                 'code': None,
2022-11-23T02:04:40.1822060Z                 'obj_weakref': <weakref at 0x7fa51c3a3bf0; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1822406Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1822484Z             }
2022-11-23T02:04:40.1822579Z             
2022-11-23T02:04:40.1822684Z  - 
2022-11-23T02:04:40.1822870Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1822969Z             {
2022-11-23T02:04:40.1823157Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1823392Z                 'code': ['___check_obj_id(model, 140347991889744)'],
2022-11-23T02:04:40.1823541Z                 'obj_weakref': None
2022-11-23T02:04:40.1823847Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1823946Z             }
2022-11-23T02:04:40.1824042Z             
2022-11-23T02:04:40.1824151Z  - 
2022-11-23T02:04:40.1824322Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1824399Z             {
2022-11-23T02:04:40.1824741Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1825035Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1825203Z                 'obj_weakref': None
2022-11-23T02:04:40.1825506Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1825603Z             }
2022-11-23T02:04:40.1825698Z             
2022-11-23T02:04:40.1825804Z  - 
2022-11-23T02:04:40.1826027Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1826124Z             {
2022-11-23T02:04:40.1826355Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1827065Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents == [4, -1]'],
2022-11-23T02:04:40.1827241Z                 'obj_weakref': None
2022-11-23T02:04:40.1827547Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1827694Z             }
2022-11-23T02:04:40.1827795Z             
2022-11-23T02:04:40.1827887Z  - 
2022-11-23T02:04:40.1828139Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1828238Z             {
2022-11-23T02:04:40.1828439Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1828818Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T02:04:40.1828988Z                 'obj_weakref': None
2022-11-23T02:04:40.1829294Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1829373Z             }
2022-11-23T02:04:40.1829473Z             
2022-11-23T02:04:40.1829583Z  - 
2022-11-23T02:04:40.1829834Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1829932Z             {
2022-11-23T02:04:40.1830130Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1830511Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T02:04:40.1830662Z                 'obj_weakref': None
2022-11-23T02:04:40.1830965Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1831061Z             }
2022-11-23T02:04:40.1831156Z             
2022-11-23T02:04:40.1831510Z [2022-11-23 02:01:56,550] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 375
2022-11-23T02:04:40.1832062Z [2022-11-23 02:01:59,153] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u4/cu4ou6vbe4efqt5olitnhw3g5udexiaccwihjxykdobezxolhfgu.py
2022-11-23T02:04:40.1832423Z [2022-11-23 02:01:59,154] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 375
2022-11-23T02:04:40.1832747Z [2022-11-23 02:01:59,158] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1833171Z [2022-11-23 02:01:59,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1833451Z [2022-11-23 02:01:59,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1833789Z [2022-11-23 02:01:59,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1834160Z [2022-11-23 02:01:59,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1834585Z [2022-11-23 02:01:59,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1835126Z [2022-11-23 02:01:59,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1835558Z [2022-11-23 02:01:59,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1836066Z [2022-11-23 02:01:59,160] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa64115b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966> 
2022-11-23T02:04:40.1836202Z  967           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1836335Z               2 LOAD_CONST               1 (2)
2022-11-23T02:04:40.1836434Z               4 BINARY_MULTIPLY
2022-11-23T02:04:40.1836574Z               6 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1836709Z               8 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1836841Z              10 CALL_METHOD              1
2022-11-23T02:04:40.1836970Z              12 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1837076Z              14 BINARY_ADD
2022-11-23T02:04:40.1837207Z              16 BUILD_TUPLE              1
2022-11-23T02:04:40.1837351Z              18 RETURN_VALUE
2022-11-23T02:04:40.1837450Z  
2022-11-23T02:04:40.1837470Z 
2022-11-23T02:04:40.1837897Z [2022-11-23 02:01:59,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967
2022-11-23T02:04:40.1838180Z [2022-11-23 02:01:59,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1838501Z [2022-11-23 02:01:59,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:40.1838891Z [2022-11-23 02:01:59,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1839220Z [2022-11-23 02:01:59,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1839596Z [2022-11-23 02:01:59,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1840004Z [2022-11-23 02:01:59,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1840328Z [2022-11-23 02:01:59,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.1840683Z [2022-11-23 02:01:59,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1841006Z [2022-11-23 02:01:59,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1841338Z [2022-11-23 02:01:59,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1841845Z [2022-11-23 02:01:59,167] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa64115b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966>
2022-11-23T02:04:40.1842181Z [2022-11-23 02:01:59,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1842499Z [2022-11-23 02:01:59,167] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1842843Z [2022-11-23 02:01:59,169] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1843178Z [2022-11-23 02:01:59,175] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1843440Z [2022-11-23 02:01:59,176] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1843611Z  __compiled_fn_384 <eval_with_key>.2783 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1843741Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1844047Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T02:04:40.1844246Z call_method, view, view, (mul, [4, -1]), {}
2022-11-23T02:04:40.1844481Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T02:04:40.1844627Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.1844648Z 
2022-11-23T02:04:40.1845082Z [2022-11-23 02:01:59,177] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1845221Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1845333Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1845461Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1845595Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1845717Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1845844Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1845962Z              12 RETURN_VALUE
2022-11-23T02:04:40.1845982Z 
2022-11-23T02:04:40.1846078Z  
2022-11-23T02:04:40.1846488Z [2022-11-23 02:01:59,177] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1846699Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_384)
2022-11-23T02:04:40.1846838Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1846969Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1847086Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1847217Z               8 CALL_FUNCTION            1
2022-11-23T02:04:40.1847366Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1847545Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1847666Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1847795Z              16 CALL_FUNCTION            0
2022-11-23T02:04:40.1847939Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1848085Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1848215Z              22 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1848329Z              24 BINARY_SUBSCR
2022-11-23T02:04:40.1848459Z              26 BUILD_TUPLE              1
2022-11-23T02:04:40.1848575Z              28 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1848721Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1848857Z              32 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1848969Z              34 BINARY_SUBSCR
2022-11-23T02:04:40.1849116Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1849249Z              38 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1849388Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1849497Z              42 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1849616Z              44 BINARY_SUBSCR
2022-11-23T02:04:40.1849760Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1849871Z              48 RETURN_VALUE
2022-11-23T02:04:40.1849891Z 
2022-11-23T02:04:40.1849982Z  
2022-11-23T02:04:40.1850249Z [2022-11-23 02:01:59,179] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1850357Z  - 
2022-11-23T02:04:40.1850528Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1850607Z             {
2022-11-23T02:04:40.1850802Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1851057Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:40.1851229Z                 'obj_weakref': None
2022-11-23T02:04:40.1851537Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1851636Z             }
2022-11-23T02:04:40.1851735Z             
2022-11-23T02:04:40.1851822Z  - 
2022-11-23T02:04:40.1851997Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1852185Z             {
2022-11-23T02:04:40.1852388Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1852541Z                 'code': None,
2022-11-23T02:04:40.1852834Z                 'obj_weakref': <weakref at 0x7fa51c5131f0; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1853178Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1853256Z             }
2022-11-23T02:04:40.1853353Z             
2022-11-23T02:04:40.1853458Z  - 
2022-11-23T02:04:40.1853639Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1853739Z             {
2022-11-23T02:04:40.1854008Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1854247Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.1854399Z                 'obj_weakref': None
2022-11-23T02:04:40.1854708Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1854810Z             }
2022-11-23T02:04:40.1854905Z             
2022-11-23T02:04:40.1855015Z  - 
2022-11-23T02:04:40.1855191Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1855285Z             {
2022-11-23T02:04:40.1855512Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1855810Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1855979Z                 'obj_weakref': None
2022-11-23T02:04:40.1856965Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1857120Z             }
2022-11-23T02:04:40.1857269Z             
2022-11-23T02:04:40.1857439Z  - 
2022-11-23T02:04:40.1857834Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1857990Z             {
2022-11-23T02:04:40.1858323Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1859060Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents == [4, -1]'],
2022-11-23T02:04:40.1859230Z                 'obj_weakref': None
2022-11-23T02:04:40.1859533Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1859629Z             }
2022-11-23T02:04:40.1859726Z             
2022-11-23T02:04:40.1859811Z  - 
2022-11-23T02:04:40.1860062Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1860157Z             {
2022-11-23T02:04:40.1860355Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1860730Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T02:04:40.1860903Z                 'obj_weakref': None
2022-11-23T02:04:40.1861208Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1861285Z             }
2022-11-23T02:04:40.1861384Z             
2022-11-23T02:04:40.1861492Z  - 
2022-11-23T02:04:40.1861745Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1861841Z             {
2022-11-23T02:04:40.1862040Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1862421Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T02:04:40.1862569Z                 'obj_weakref': None
2022-11-23T02:04:40.1862869Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1862967Z             }
2022-11-23T02:04:40.1863068Z             
2022-11-23T02:04:40.1863617Z [2022-11-23 02:01:59,190] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 376
2022-11-23T02:04:40.1864116Z [2022-11-23 02:02:01,813] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ll/cllmsgsjarwwpi244xuk3nygfvqhvnct5r5wrwf3bcfbnmzir3t5.py
2022-11-23T02:04:40.1864472Z [2022-11-23 02:02:01,814] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 376
2022-11-23T02:04:40.1864792Z [2022-11-23 02:02:01,818] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1865214Z [2022-11-23 02:02:01,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1865494Z [2022-11-23 02:02:01,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1865835Z [2022-11-23 02:02:01,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1866216Z [2022-11-23 02:02:01,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1866725Z [2022-11-23 02:02:01,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1867196Z [2022-11-23 02:02:01,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1867625Z [2022-11-23 02:02:01,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1868127Z [2022-11-23 02:02:01,820] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7fa64115b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963> 
2022-11-23T02:04:40.1868266Z  964           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1868407Z               2 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1868524Z               4 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1868654Z               6 CALL_METHOD              1
2022-11-23T02:04:40.1868789Z               8 LOAD_CONST               1 (1)
2022-11-23T02:04:40.1868902Z              10 BINARY_ADD
2022-11-23T02:04:40.1869031Z              12 BUILD_TUPLE              1
2022-11-23T02:04:40.1869147Z              14 RETURN_VALUE
2022-11-23T02:04:40.1869244Z  
2022-11-23T02:04:40.1869266Z 
2022-11-23T02:04:40.1869693Z [2022-11-23 02:02:01,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964
2022-11-23T02:04:40.1869968Z [2022-11-23 02:02:01,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1870294Z [2022-11-23 02:02:01,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1870675Z [2022-11-23 02:02:01,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1871083Z [2022-11-23 02:02:01,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1871407Z [2022-11-23 02:02:01,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.1871833Z [2022-11-23 02:02:01,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1872372Z [2022-11-23 02:02:01,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1872709Z [2022-11-23 02:02:01,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1873216Z [2022-11-23 02:02:01,825] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7fa64115b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963>
2022-11-23T02:04:40.1873631Z [2022-11-23 02:02:01,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1873934Z [2022-11-23 02:02:01,826] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1874278Z [2022-11-23 02:02:01,828] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1874614Z [2022-11-23 02:02:01,832] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1874873Z [2022-11-23 02:02:01,833] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1875062Z  __compiled_fn_385 <eval_with_key>.2789 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1875193Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1875400Z call_method, view, view, (ex_0_, [-1, 100]), {}
2022-11-23T02:04:40.1875637Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T02:04:40.1875763Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.1875783Z 
2022-11-23T02:04:40.1876274Z [2022-11-23 02:02:01,834] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1876420Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1876556Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1876686Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1876819Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1876944Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1877073Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1877169Z              12 RETURN_VALUE
2022-11-23T02:04:40.1877189Z 
2022-11-23T02:04:40.1877284Z  
2022-11-23T02:04:40.1877718Z [2022-11-23 02:02:01,834] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1877883Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_385)
2022-11-23T02:04:40.1878017Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1878152Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1878267Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1878377Z               8 CALL_FUNCTION            1
2022-11-23T02:04:40.1878522Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1878706Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1878848Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1878981Z              16 CALL_FUNCTION            0
2022-11-23T02:04:40.1879124Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1879270Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1879403Z              22 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1879506Z              24 BINARY_SUBSCR
2022-11-23T02:04:40.1879634Z              26 BUILD_TUPLE              1
2022-11-23T02:04:40.1879770Z              28 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1879916Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1880047Z              32 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1880164Z              34 BINARY_SUBSCR
2022-11-23T02:04:40.1880313Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1880426Z              38 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1880565Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1880697Z              42 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1880811Z              44 BINARY_SUBSCR
2022-11-23T02:04:40.1880953Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1881067Z              48 RETURN_VALUE
2022-11-23T02:04:40.1881087Z 
2022-11-23T02:04:40.1881244Z  
2022-11-23T02:04:40.1881488Z [2022-11-23 02:02:01,836] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1881594Z  - 
2022-11-23T02:04:40.1881766Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1881864Z             {
2022-11-23T02:04:40.1882068Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1882323Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:40.1882493Z                 'obj_weakref': None
2022-11-23T02:04:40.1882783Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1882885Z             }
2022-11-23T02:04:40.1882981Z             
2022-11-23T02:04:40.1883086Z  - 
2022-11-23T02:04:40.1883261Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1883357Z             {
2022-11-23T02:04:40.1883553Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1883687Z                 'code': None,
2022-11-23T02:04:40.1883984Z                 'obj_weakref': <weakref at 0x7fa524641cb0; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1884324Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1884422Z             }
2022-11-23T02:04:40.1884573Z             
2022-11-23T02:04:40.1884689Z  - 
2022-11-23T02:04:40.1884875Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1884953Z             {
2022-11-23T02:04:40.1885143Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1885377Z                 'code': ['___check_obj_id(model, 140347991889744)'],
2022-11-23T02:04:40.1885546Z                 'obj_weakref': None
2022-11-23T02:04:40.1885858Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1885958Z             }
2022-11-23T02:04:40.1886055Z             
2022-11-23T02:04:40.1886140Z  - 
2022-11-23T02:04:40.1886314Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1886417Z             {
2022-11-23T02:04:40.1886609Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1886903Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1887076Z                 'obj_weakref': None
2022-11-23T02:04:40.1887378Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1887455Z             }
2022-11-23T02:04:40.1887552Z             
2022-11-23T02:04:40.1887655Z  - 
2022-11-23T02:04:40.1887901Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1887997Z             {
2022-11-23T02:04:40.1888229Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1889023Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents == [-1, 100]'],
2022-11-23T02:04:40.1889197Z                 'obj_weakref': None
2022-11-23T02:04:40.1889485Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1889586Z             }
2022-11-23T02:04:40.1889685Z             
2022-11-23T02:04:40.1889792Z  - 
2022-11-23T02:04:40.1890046Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1890143Z             {
2022-11-23T02:04:40.1890347Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1890705Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == -1'],
2022-11-23T02:04:40.1890876Z                 'obj_weakref': None
2022-11-23T02:04:40.1891173Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1891342Z             }
2022-11-23T02:04:40.1891439Z             
2022-11-23T02:04:40.1891547Z  - 
2022-11-23T02:04:40.1891802Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1891880Z             {
2022-11-23T02:04:40.1892084Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1892462Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T02:04:40.1892629Z                 'obj_weakref': None
2022-11-23T02:04:40.1892931Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1893027Z             }
2022-11-23T02:04:40.1893122Z             
2022-11-23T02:04:40.1893478Z [2022-11-23 02:02:01,847] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 377
2022-11-23T02:04:40.1893958Z [2022-11-23 02:02:04,458] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dc/cdc6ygx4wjbdvbk5xdkvpf5cww4dgn6gzxiusztbraewwv2zcxp6.py
2022-11-23T02:04:40.1894322Z [2022-11-23 02:02:04,459] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 377
2022-11-23T02:04:40.1894701Z [2022-11-23 02:02:04,463] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1895125Z [2022-11-23 02:02:04,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1895422Z [2022-11-23 02:02:04,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1895763Z [2022-11-23 02:02:04,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1896628Z [2022-11-23 02:02:04,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1897394Z [2022-11-23 02:02:04,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1898109Z [2022-11-23 02:02:04,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1898552Z [2022-11-23 02:02:04,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1899040Z [2022-11-23 02:02:04,465] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa64115b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966> 
2022-11-23T02:04:40.1899178Z  967           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1899312Z               2 LOAD_CONST               1 (2)
2022-11-23T02:04:40.1899433Z               4 BINARY_MULTIPLY
2022-11-23T02:04:40.1899571Z               6 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1899711Z               8 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1899837Z              10 CALL_METHOD              1
2022-11-23T02:04:40.1899968Z              12 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1900058Z              14 BINARY_ADD
2022-11-23T02:04:40.1900187Z              16 BUILD_TUPLE              1
2022-11-23T02:04:40.1900300Z              18 RETURN_VALUE
2022-11-23T02:04:40.1900398Z  
2022-11-23T02:04:40.1900420Z 
2022-11-23T02:04:40.1900849Z [2022-11-23 02:02:04,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967
2022-11-23T02:04:40.1901137Z [2022-11-23 02:02:04,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1901462Z [2022-11-23 02:02:04,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:40.1901853Z [2022-11-23 02:02:04,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1902343Z [2022-11-23 02:02:04,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1902723Z [2022-11-23 02:02:04,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1903127Z [2022-11-23 02:02:04,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1903446Z [2022-11-23 02:02:04,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.1903818Z [2022-11-23 02:02:04,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1904137Z [2022-11-23 02:02:04,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1904467Z [2022-11-23 02:02:04,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1904976Z [2022-11-23 02:02:04,472] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa64115b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966>
2022-11-23T02:04:40.1905387Z [2022-11-23 02:02:04,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1905714Z [2022-11-23 02:02:04,472] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1906041Z [2022-11-23 02:02:04,474] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1906376Z [2022-11-23 02:02:04,480] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1906634Z [2022-11-23 02:02:04,481] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1906823Z  __compiled_fn_386 <eval_with_key>.2795 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1906959Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1907203Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T02:04:40.1907405Z call_method, view, view, (mul, [-1, 100]), {}
2022-11-23T02:04:40.1907643Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T02:04:40.1907763Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.1907785Z 
2022-11-23T02:04:40.1908222Z [2022-11-23 02:02:04,482] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1908361Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1908493Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1908621Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1908755Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1908880Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1909012Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1909106Z              12 RETURN_VALUE
2022-11-23T02:04:40.1909126Z 
2022-11-23T02:04:40.1909218Z  
2022-11-23T02:04:40.1909659Z [2022-11-23 02:02:04,482] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1909821Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_386)
2022-11-23T02:04:40.1909955Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1910087Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1910261Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1910369Z               8 CALL_FUNCTION            1
2022-11-23T02:04:40.1910519Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1910700Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1910836Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1911034Z              16 CALL_FUNCTION            0
2022-11-23T02:04:40.1911172Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1911317Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1911455Z              22 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1911551Z              24 BINARY_SUBSCR
2022-11-23T02:04:40.1911680Z              26 BUILD_TUPLE              1
2022-11-23T02:04:40.1911817Z              28 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1911958Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1912088Z              32 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1912201Z              34 BINARY_SUBSCR
2022-11-23T02:04:40.1912345Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1912460Z              38 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1912599Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1912733Z              42 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1912845Z              44 BINARY_SUBSCR
2022-11-23T02:04:40.1912989Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1913101Z              48 RETURN_VALUE
2022-11-23T02:04:40.1913121Z 
2022-11-23T02:04:40.1913267Z  
2022-11-23T02:04:40.1913527Z [2022-11-23 02:02:04,484] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1913635Z  - 
2022-11-23T02:04:40.1913803Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1913901Z             {
2022-11-23T02:04:40.1914100Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1914361Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:40.1914531Z                 'obj_weakref': None
2022-11-23T02:04:40.1914818Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1914918Z             }
2022-11-23T02:04:40.1915013Z             
2022-11-23T02:04:40.1915124Z  - 
2022-11-23T02:04:40.1915299Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1915395Z             {
2022-11-23T02:04:40.1915597Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1915734Z                 'code': None,
2022-11-23T02:04:40.1916026Z                 'obj_weakref': <weakref at 0x7fa52469d620; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1916373Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1916471Z             }
2022-11-23T02:04:40.1916566Z             
2022-11-23T02:04:40.1916670Z  - 
2022-11-23T02:04:40.1916853Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1916930Z             {
2022-11-23T02:04:40.1917119Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1917354Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.1917525Z                 'obj_weakref': None
2022-11-23T02:04:40.1917837Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1917934Z             }
2022-11-23T02:04:40.1918029Z             
2022-11-23T02:04:40.1918117Z  - 
2022-11-23T02:04:40.1918288Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1918385Z             {
2022-11-23T02:04:40.1918576Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1918870Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1919042Z                 'obj_weakref': None
2022-11-23T02:04:40.1919346Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1919422Z             }
2022-11-23T02:04:40.1919518Z             
2022-11-23T02:04:40.1919622Z  - 
2022-11-23T02:04:40.1919867Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1919963Z             {
2022-11-23T02:04:40.1920294Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1921022Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents == [-1, 100]'],
2022-11-23T02:04:40.1921194Z                 'obj_weakref': None
2022-11-23T02:04:40.1921476Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1921573Z             }
2022-11-23T02:04:40.1921668Z             
2022-11-23T02:04:40.1921775Z  - 
2022-11-23T02:04:40.1922027Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1922124Z             {
2022-11-23T02:04:40.1922322Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1922684Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == -1'],
2022-11-23T02:04:40.1922854Z                 'obj_weakref': None
2022-11-23T02:04:40.1923207Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1923309Z             }
2022-11-23T02:04:40.1923403Z             
2022-11-23T02:04:40.1923509Z  - 
2022-11-23T02:04:40.1923762Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1923838Z             {
2022-11-23T02:04:40.1924035Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1924412Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T02:04:40.1924579Z                 'obj_weakref': None
2022-11-23T02:04:40.1924876Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1924975Z             }
2022-11-23T02:04:40.1925072Z             
2022-11-23T02:04:40.1925426Z [2022-11-23 02:02:04,495] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 378
2022-11-23T02:04:40.1925900Z [2022-11-23 02:02:07,121] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gb/cgbgafn5ytgwefmo3ptjmy244bb3dxk544rqflvcfsf4qqqsoivd.py
2022-11-23T02:04:40.1926259Z [2022-11-23 02:02:07,122] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 378
2022-11-23T02:04:40.1926579Z [2022-11-23 02:02:07,126] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1927002Z [2022-11-23 02:02:07,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1927296Z [2022-11-23 02:02:07,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1927641Z [2022-11-23 02:02:07,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1928017Z [2022-11-23 02:02:07,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1928446Z [2022-11-23 02:02:07,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1928906Z [2022-11-23 02:02:07,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1929338Z [2022-11-23 02:02:07,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1929836Z [2022-11-23 02:02:07,128] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7fa64115b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963> 
2022-11-23T02:04:40.1930036Z  964           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1930173Z               2 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1930313Z               4 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1930446Z               6 CALL_METHOD              1
2022-11-23T02:04:40.1930581Z               8 LOAD_CONST               1 (1)
2022-11-23T02:04:40.1930692Z              10 BINARY_ADD
2022-11-23T02:04:40.1930821Z              12 BUILD_TUPLE              1
2022-11-23T02:04:40.1930917Z              14 RETURN_VALUE
2022-11-23T02:04:40.1931011Z  
2022-11-23T02:04:40.1931031Z 
2022-11-23T02:04:40.1931460Z [2022-11-23 02:02:07,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964
2022-11-23T02:04:40.1931744Z [2022-11-23 02:02:07,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1932069Z [2022-11-23 02:02:07,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1932451Z [2022-11-23 02:02:07,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1932969Z [2022-11-23 02:02:07,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1933300Z [2022-11-23 02:02:07,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.1933679Z [2022-11-23 02:02:07,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1933984Z [2022-11-23 02:02:07,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1934319Z [2022-11-23 02:02:07,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1934825Z [2022-11-23 02:02:07,133] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7fa64115b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963>
2022-11-23T02:04:40.1935161Z [2022-11-23 02:02:07,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1935482Z [2022-11-23 02:02:07,133] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1935830Z [2022-11-23 02:02:07,135] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.1936829Z [2022-11-23 02:02:07,141] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.1937309Z [2022-11-23 02:02:07,141] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.1937621Z  __compiled_fn_387 <eval_with_key>.2801 opcode, name, target, args, kwargs
2022-11-23T02:04:40.1937809Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.1938173Z call_method, view, view, (ex_0_, [10, -1, 20]), {}
2022-11-23T02:04:40.1938425Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T02:04:40.1938566Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.1938587Z 
2022-11-23T02:04:40.1939031Z [2022-11-23 02:02:07,142] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1939168Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1939302Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1939427Z               4 BUILD_MAP                0
2022-11-23T02:04:40.1939541Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.1939668Z               8 DICT_MERGE               1
2022-11-23T02:04:40.1939795Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.1939909Z              12 RETURN_VALUE
2022-11-23T02:04:40.1939929Z 
2022-11-23T02:04:40.1940021Z  
2022-11-23T02:04:40.1940454Z [2022-11-23 02:02:07,142] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.1940776Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_387)
2022-11-23T02:04:40.1940910Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.1941027Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1941143Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.1941270Z               8 CALL_FUNCTION            1
2022-11-23T02:04:40.1941421Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.1941601Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.1941743Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.1941874Z              16 CALL_FUNCTION            0
2022-11-23T02:04:40.1941992Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.1942145Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.1942278Z              22 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1942391Z              24 BINARY_SUBSCR
2022-11-23T02:04:40.1942519Z              26 BUILD_TUPLE              1
2022-11-23T02:04:40.1942726Z              28 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1942878Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1942989Z              32 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1943105Z              34 BINARY_SUBSCR
2022-11-23T02:04:40.1943251Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.1943384Z              38 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.1943520Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.1943649Z              42 LOAD_CONST               1 (0)
2022-11-23T02:04:40.1943763Z              44 BINARY_SUBSCR
2022-11-23T02:04:40.1943888Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.1944006Z              48 RETURN_VALUE
2022-11-23T02:04:40.1944026Z 
2022-11-23T02:04:40.1944121Z  
2022-11-23T02:04:40.1944398Z [2022-11-23 02:02:07,144] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.1944506Z  - 
2022-11-23T02:04:40.1944677Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.1944777Z             {
2022-11-23T02:04:40.1944980Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.1945222Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:40.1945392Z                 'obj_weakref': None
2022-11-23T02:04:40.1945697Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.1945798Z             }
2022-11-23T02:04:40.1945895Z             
2022-11-23T02:04:40.1946000Z  - 
2022-11-23T02:04:40.1946173Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.1946252Z             {
2022-11-23T02:04:40.1946448Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.1946608Z                 'code': None,
2022-11-23T02:04:40.1946899Z                 'obj_weakref': <weakref at 0x7fa51c513a10; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.1947243Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.1947342Z             }
2022-11-23T02:04:40.1947438Z             
2022-11-23T02:04:40.1947523Z  - 
2022-11-23T02:04:40.1947707Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.1947804Z             {
2022-11-23T02:04:40.1947989Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.1948221Z                 'code': ['___check_obj_id(model, 140347991889744)'],
2022-11-23T02:04:40.1948389Z                 'obj_weakref': None
2022-11-23T02:04:40.1948703Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.1948781Z             }
2022-11-23T02:04:40.1948878Z             
2022-11-23T02:04:40.1949051Z  - 
2022-11-23T02:04:40.1949226Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.1949321Z             {
2022-11-23T02:04:40.1949513Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.1949810Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.1949960Z                 'obj_weakref': None
2022-11-23T02:04:40.1950263Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.1950360Z             }
2022-11-23T02:04:40.1950457Z             
2022-11-23T02:04:40.1950561Z  - 
2022-11-23T02:04:40.1950805Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.1950902Z             {
2022-11-23T02:04:40.1951115Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.1952008Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents == [10, -1, 20]'],
2022-11-23T02:04:40.1952192Z                 'obj_weakref': None
2022-11-23T02:04:40.1952495Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.1952590Z             }
2022-11-23T02:04:40.1952688Z             
2022-11-23T02:04:40.1952793Z  - 
2022-11-23T02:04:40.1953047Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.1953128Z             {
2022-11-23T02:04:40.1953328Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1953703Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T02:04:40.1953875Z                 'obj_weakref': None
2022-11-23T02:04:40.1954176Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1954270Z             }
2022-11-23T02:04:40.1954361Z             
2022-11-23T02:04:40.1954447Z  - 
2022-11-23T02:04:40.1954703Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.1954801Z             {
2022-11-23T02:04:40.1955002Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1955382Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T02:04:40.1955548Z                 'obj_weakref': None
2022-11-23T02:04:40.1955850Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1955946Z             }
2022-11-23T02:04:40.1956025Z             
2022-11-23T02:04:40.1956132Z  - 
2022-11-23T02:04:40.1956389Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:40.1956486Z             {
2022-11-23T02:04:40.1956684Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.1957070Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T02:04:40.1957241Z                 'obj_weakref': None
2022-11-23T02:04:40.1957521Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.1957620Z             }
2022-11-23T02:04:40.1957716Z             
2022-11-23T02:04:40.1958070Z [2022-11-23 02:02:07,154] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 379
2022-11-23T02:04:40.1958091Z 
2022-11-23T02:04:40.1958227Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1958333Z import torch
2022-11-23T02:04:40.1958440Z import random
2022-11-23T02:04:40.1958587Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1958841Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1958860Z 
2022-11-23T02:04:40.1958978Z aten = torch.ops.aten
2022-11-23T02:04:40.1959166Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1959305Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1959325Z 
2022-11-23T02:04:40.1959343Z 
2022-11-23T02:04:40.1959540Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1959820Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1959996Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1960121Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1960218Z {
2022-11-23T02:04:40.1960360Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1960453Z     {
2022-11-23T02:04:40.1960568Z         #pragma omp for 
2022-11-23T02:04:40.1960692Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:40.1960794Z         {
2022-11-23T02:04:40.1961002Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1961191Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.1961368Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1961508Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1961604Z         }
2022-11-23T02:04:40.1961744Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1961869Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T02:04:40.1961950Z         {
2022-11-23T02:04:40.1962076Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1962219Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.1962343Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1962465Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.1962558Z         }
2022-11-23T02:04:40.1962653Z     }
2022-11-23T02:04:40.1962724Z }
2022-11-23T02:04:40.1962847Z ''')
2022-11-23T02:04:40.1962870Z 
2022-11-23T02:04:40.1962889Z 
2022-11-23T02:04:40.1963021Z async_compile.wait(globals())
2022-11-23T02:04:40.1963131Z del async_compile
2022-11-23T02:04:40.1963151Z 
2022-11-23T02:04:40.1963257Z def call(args):
2022-11-23T02:04:40.1963362Z     arg0_1, = args
2022-11-23T02:04:40.1963473Z     args.clear()
2022-11-23T02:04:40.1963728Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1963920Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1964026Z     del arg0_1
2022-11-23T02:04:40.1964135Z     return (buf0, )
2022-11-23T02:04:40.1964154Z 
2022-11-23T02:04:40.1964172Z 
2022-11-23T02:04:40.1964284Z if __name__ == "__main__":
2022-11-23T02:04:40.1964447Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1964621Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1964909Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1965049Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:40.1965087Z 
2022-11-23T02:04:40.1965105Z 
2022-11-23T02:04:40.1965222Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1965325Z import torch
2022-11-23T02:04:40.1965433Z import random
2022-11-23T02:04:40.1965601Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1965769Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1965788Z 
2022-11-23T02:04:40.1965907Z aten = torch.ops.aten
2022-11-23T02:04:40.1966096Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1966212Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1966231Z 
2022-11-23T02:04:40.1966271Z 
2022-11-23T02:04:40.1966474Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1966730Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1966907Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1967185Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1967279Z {
2022-11-23T02:04:40.1967423Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1967519Z     {
2022-11-23T02:04:40.1967615Z         #pragma omp for 
2022-11-23T02:04:40.1967742Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:40.1967837Z         {
2022-11-23T02:04:40.1968032Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1968222Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:40.1968348Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.1968532Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.1968638Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1968771Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1968864Z         }
2022-11-23T02:04:40.1969002Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1969123Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T02:04:40.1969223Z         {
2022-11-23T02:04:40.1969347Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1969469Z             auto tmp1 = static_cast<float>(2);
2022-11-23T02:04:40.1969592Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.1969803Z             auto tmp3 = static_cast<float>(1);
2022-11-23T02:04:40.1969943Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1970063Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:40.1970158Z         }
2022-11-23T02:04:40.1970252Z     }
2022-11-23T02:04:40.1970323Z }
2022-11-23T02:04:40.1970467Z ''')
2022-11-23T02:04:40.1970487Z 
2022-11-23T02:04:40.1970506Z 
2022-11-23T02:04:40.1970640Z async_compile.wait(globals())
2022-11-23T02:04:40.1970751Z del async_compile
2022-11-23T02:04:40.1970770Z 
2022-11-23T02:04:40.1970878Z def call(args):
2022-11-23T02:04:40.1970983Z     arg0_1, = args
2022-11-23T02:04:40.1971091Z     args.clear()
2022-11-23T02:04:40.1971345Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1971541Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1971641Z     del arg0_1
2022-11-23T02:04:40.1971749Z     return (buf0, )
2022-11-23T02:04:40.1971767Z 
2022-11-23T02:04:40.1971785Z 
2022-11-23T02:04:40.1971901Z if __name__ == "__main__":
2022-11-23T02:04:40.1972064Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1972238Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1972532Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1972667Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:40.1972686Z 
2022-11-23T02:04:40.1972726Z 
2022-11-23T02:04:40.1972846Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1972952Z import torch
2022-11-23T02:04:40.1973058Z import random
2022-11-23T02:04:40.1973221Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1973393Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1973412Z 
2022-11-23T02:04:40.1973529Z aten = torch.ops.aten
2022-11-23T02:04:40.1973714Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1973829Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1973852Z 
2022-11-23T02:04:40.1973870Z 
2022-11-23T02:04:40.1974064Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1974342Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1974513Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1974654Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1974746Z {
2022-11-23T02:04:40.1974884Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1974958Z     {
2022-11-23T02:04:40.1975072Z         #pragma omp for 
2022-11-23T02:04:40.1975194Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T02:04:40.1975286Z         {
2022-11-23T02:04:40.1975538Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1975728Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.1975852Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1975987Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1976521Z         }
2022-11-23T02:04:40.1976761Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1976964Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T02:04:40.1977112Z         {
2022-11-23T02:04:40.1977315Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1977547Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.1977750Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.1977920Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.1978071Z         }
2022-11-23T02:04:40.1978217Z     }
2022-11-23T02:04:40.1978336Z }
2022-11-23T02:04:40.1978481Z ''')
2022-11-23T02:04:40.1978501Z 
2022-11-23T02:04:40.1978519Z 
2022-11-23T02:04:40.1978658Z async_compile.wait(globals())
2022-11-23T02:04:40.1978770Z del async_compile
2022-11-23T02:04:40.1978789Z 
2022-11-23T02:04:40.1978878Z def call(args):
2022-11-23T02:04:40.1978981Z     arg0_1, = args
2022-11-23T02:04:40.1979089Z     args.clear()
2022-11-23T02:04:40.1979525Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1979725Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1979829Z     del arg0_1
2022-11-23T02:04:40.1979936Z     return (buf0, )
2022-11-23T02:04:40.1979956Z 
2022-11-23T02:04:40.1979974Z 
2022-11-23T02:04:40.1980067Z if __name__ == "__main__":
2022-11-23T02:04:40.1980234Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1980409Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1980722Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1980880Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:40.1980903Z 
2022-11-23T02:04:40.1980922Z 
2022-11-23T02:04:40.1981056Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.1981161Z import torch
2022-11-23T02:04:40.1981271Z import random
2022-11-23T02:04:40.1981419Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.1981592Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.1981611Z 
2022-11-23T02:04:40.1981727Z aten = torch.ops.aten
2022-11-23T02:04:40.1981916Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.1982050Z async_compile = AsyncCompile()
2022-11-23T02:04:40.1982069Z 
2022-11-23T02:04:40.1982089Z 
2022-11-23T02:04:40.1982278Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.1982558Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.1982726Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.1982851Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.1982946Z {
2022-11-23T02:04:40.1983089Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.1983187Z     {
2022-11-23T02:04:40.1983301Z         #pragma omp for 
2022-11-23T02:04:40.1983425Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T02:04:40.1983525Z         {
2022-11-23T02:04:40.1983715Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.1983903Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:40.1984028Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.1984208Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.1984334Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1984466Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.1984562Z         }
2022-11-23T02:04:40.1984702Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.1984810Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T02:04:40.1985027Z         {
2022-11-23T02:04:40.1985151Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.1985294Z             auto tmp1 = static_cast<float>(2);
2022-11-23T02:04:40.1985417Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.1985564Z             auto tmp3 = static_cast<float>(1);
2022-11-23T02:04:40.1985667Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.1985787Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:40.1985881Z         }
2022-11-23T02:04:40.1985975Z     }
2022-11-23T02:04:40.1986067Z }
2022-11-23T02:04:40.1986189Z ''')
2022-11-23T02:04:40.1986208Z 
2022-11-23T02:04:40.1986228Z 
2022-11-23T02:04:40.1986358Z async_compile.wait(globals())
2022-11-23T02:04:40.1986448Z del async_compile
2022-11-23T02:04:40.1986486Z 
2022-11-23T02:04:40.1986574Z def call(args):
2022-11-23T02:04:40.1986677Z     arg0_1, = args
2022-11-23T02:04:40.1986783Z     args.clear()
2022-11-23T02:04:40.1987059Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1987256Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.1987357Z     del arg0_1
2022-11-23T02:04:40.1987464Z     return (buf0, )
2022-11-23T02:04:40.1987484Z 
2022-11-23T02:04:40.1987502Z 
2022-11-23T02:04:40.1987645Z if __name__ == "__main__":
2022-11-23T02:04:40.1987815Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.1987986Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.1988298Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.1988452Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:40.1988471Z 
2022-11-23T02:04:40.1989024Z [2022-11-23 02:02:07,167] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dr/cdr23hnc7vmr6t4irar3sebjntzfhdv53bmknkqkyiccpvoyeo4x.py
2022-11-23T02:04:40.1989387Z [2022-11-23 02:02:07,167] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 379
2022-11-23T02:04:40.1989716Z [2022-11-23 02:02:07,172] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.1990142Z [2022-11-23 02:02:07,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.1990424Z [2022-11-23 02:02:07,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.1990766Z [2022-11-23 02:02:07,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.1991139Z [2022-11-23 02:02:07,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.1991567Z [2022-11-23 02:02:07,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1992031Z [2022-11-23 02:02:07,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1992470Z [2022-11-23 02:02:07,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.1992976Z [2022-11-23 02:02:07,174] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7fa64115b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966> 
2022-11-23T02:04:40.1993111Z  967           0 LOAD_FAST                0 (x)
2022-11-23T02:04:40.1993244Z               2 LOAD_CONST               1 (2)
2022-11-23T02:04:40.1993363Z               4 BINARY_MULTIPLY
2022-11-23T02:04:40.1993481Z               6 LOAD_METHOD              0 (view)
2022-11-23T02:04:40.1993616Z               8 LOAD_DEREF               0 (size2)
2022-11-23T02:04:40.1993741Z              10 CALL_METHOD              1
2022-11-23T02:04:40.1993954Z              12 LOAD_CONST               2 (1)
2022-11-23T02:04:40.1994126Z              14 BINARY_ADD
2022-11-23T02:04:40.1994255Z              16 BUILD_TUPLE              1
2022-11-23T02:04:40.1994368Z              18 RETURN_VALUE
2022-11-23T02:04:40.1994443Z  
2022-11-23T02:04:40.1994463Z 
2022-11-23T02:04:40.1994893Z [2022-11-23 02:02:07,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967
2022-11-23T02:04:40.1995180Z [2022-11-23 02:02:07,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T02:04:40.1995504Z [2022-11-23 02:02:07,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T02:04:40.1995897Z [2022-11-23 02:02:07,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1996227Z [2022-11-23 02:02:07,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T02:04:40.1996601Z [2022-11-23 02:02:07,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T02:04:40.1997008Z [2022-11-23 02:02:07,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T02:04:40.1997378Z [2022-11-23 02:02:07,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.1997740Z [2022-11-23 02:02:07,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.1998066Z [2022-11-23 02:02:07,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.1998397Z [2022-11-23 02:02:07,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1998904Z [2022-11-23 02:02:07,180] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7fa64115b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966>
2022-11-23T02:04:40.1999243Z [2022-11-23 02:02:07,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.1999563Z [2022-11-23 02:02:07,180] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.1999908Z [2022-11-23 02:02:07,183] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2000245Z [2022-11-23 02:02:07,189] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2000503Z [2022-11-23 02:02:07,190] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2000671Z  __compiled_fn_388 <eval_with_key>.2807 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2000799Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2001035Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T02:04:40.2001241Z call_method, view, view, (mul, [10, -1, 20]), {}
2022-11-23T02:04:40.2001480Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T02:04:40.2001625Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2001645Z 
2022-11-23T02:04:40.2002084Z [2022-11-23 02:02:07,190] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2002219Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2002333Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2002460Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2002591Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2002715Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2002844Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2002960Z              12 RETURN_VALUE
2022-11-23T02:04:40.2002979Z 
2022-11-23T02:04:40.2003073Z  
2022-11-23T02:04:40.2003507Z [2022-11-23 02:02:07,190] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2003714Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_388)
2022-11-23T02:04:40.2003844Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2003980Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2004095Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2004222Z               8 CALL_FUNCTION            1
2022-11-23T02:04:40.2004372Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2004552Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T02:04:40.2004674Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T02:04:40.2004802Z              16 CALL_FUNCTION            0
2022-11-23T02:04:40.2004940Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T02:04:40.2005085Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2005218Z              22 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2005332Z              24 BINARY_SUBSCR
2022-11-23T02:04:40.2005458Z              26 BUILD_TUPLE              1
2022-11-23T02:04:40.2005593Z              28 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2005792Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.2005931Z              32 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2006042Z              34 BINARY_SUBSCR
2022-11-23T02:04:40.2006189Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T02:04:40.2006327Z              38 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2006467Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T02:04:40.2006595Z              42 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2006690Z              44 BINARY_SUBSCR
2022-11-23T02:04:40.2006835Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T02:04:40.2006949Z              48 RETURN_VALUE
2022-11-23T02:04:40.2006969Z 
2022-11-23T02:04:40.2007060Z  
2022-11-23T02:04:40.2007323Z [2022-11-23 02:02:07,193] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2007432Z  - 
2022-11-23T02:04:40.2007600Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2007684Z             {
2022-11-23T02:04:40.2007887Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2008143Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:40.2008312Z                 'obj_weakref': None
2022-11-23T02:04:40.2008616Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2008711Z             }
2022-11-23T02:04:40.2008807Z             
2022-11-23T02:04:40.2008893Z  - 
2022-11-23T02:04:40.2009068Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2009163Z             {
2022-11-23T02:04:40.2009362Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2009520Z                 'code': None,
2022-11-23T02:04:40.2009803Z                 'obj_weakref': <weakref at 0x7fa52467e480; to 'Tensor' at 0x7fa51c420e50>
2022-11-23T02:04:40.2010154Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2010233Z             }
2022-11-23T02:04:40.2010335Z             
2022-11-23T02:04:40.2010441Z  - 
2022-11-23T02:04:40.2010623Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2010719Z             {
2022-11-23T02:04:40.2010907Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2011138Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.2011288Z                 'obj_weakref': None
2022-11-23T02:04:40.2011598Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2011737Z             }
2022-11-23T02:04:40.2011831Z             
2022-11-23T02:04:40.2012014Z  - 
2022-11-23T02:04:40.2012189Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2012285Z             {
2022-11-23T02:04:40.2012457Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2012754Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2012922Z                 'obj_weakref': None
2022-11-23T02:04:40.2013226Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2013322Z             }
2022-11-23T02:04:40.2013415Z             
2022-11-23T02:04:40.2013521Z  - 
2022-11-23T02:04:40.2013744Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T02:04:40.2013842Z             {
2022-11-23T02:04:40.2014073Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T02:04:40.2014909Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93849050132032)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', '___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents == [10, -1, 20]'],
2022-11-23T02:04:40.2015138Z                 'obj_weakref': None
2022-11-23T02:04:40.2015452Z                 'guarded_class': <weakref at 0x7fa6421e1c60; to 'type' at 0x555aef4bae40 (list)>
2022-11-23T02:04:40.2015548Z             }
2022-11-23T02:04:40.2015643Z             
2022-11-23T02:04:40.2015728Z  - 
2022-11-23T02:04:40.2015982Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T02:04:40.2016601Z             {
2022-11-23T02:04:40.2016968Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.2017631Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93849050129792)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T02:04:40.2017922Z                 'obj_weakref': None
2022-11-23T02:04:40.2018283Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.2018380Z             }
2022-11-23T02:04:40.2018457Z             
2022-11-23T02:04:40.2018564Z  - 
2022-11-23T02:04:40.2018824Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T02:04:40.2018921Z             {
2022-11-23T02:04:40.2019120Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.2019499Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93849050129792)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T02:04:40.2019670Z                 'obj_weakref': None
2022-11-23T02:04:40.2019950Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.2020048Z             }
2022-11-23T02:04:40.2020143Z             
2022-11-23T02:04:40.2020250Z  - 
2022-11-23T02:04:40.2020510Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T02:04:40.2020607Z             {
2022-11-23T02:04:40.2020805Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.2021166Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93849050129792)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T02:04:40.2021339Z                 'obj_weakref': None
2022-11-23T02:04:40.2021641Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.2021739Z             }
2022-11-23T02:04:40.2021833Z             
2022-11-23T02:04:40.2022183Z [2022-11-23 02:02:07,203] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 380
2022-11-23T02:04:40.2022675Z [2022-11-23 02:02:07,218] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7s/c7sghveubp35oxplliktndlctwm35tzbqvebttk4ugzzfzn7yznb.py
2022-11-23T02:04:40.2023035Z [2022-11-23 02:02:07,219] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 380
2022-11-23T02:04:40.2023221Z 
2022-11-23T02:04:40.2023348Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2023456Z import torch
2022-11-23T02:04:40.2023562Z import random
2022-11-23T02:04:40.2023739Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2023913Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2023932Z 
2022-11-23T02:04:40.2024051Z aten = torch.ops.aten
2022-11-23T02:04:40.2024239Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2024374Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2024394Z 
2022-11-23T02:04:40.2024412Z 
2022-11-23T02:04:40.2024594Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2024871Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2025039Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2025190Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2025282Z {
2022-11-23T02:04:40.2025421Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2025515Z     {
2022-11-23T02:04:40.2025611Z         #pragma omp for 
2022-11-23T02:04:40.2025824Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T02:04:40.2025927Z         {
2022-11-23T02:04:40.2026147Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.2026336Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.2026460Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2026592Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.2026668Z         }
2022-11-23T02:04:40.2026804Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.2026931Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T02:04:40.2027028Z         {
2022-11-23T02:04:40.2027152Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.2027296Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.2027426Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2027525Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.2027621Z         }
2022-11-23T02:04:40.2027714Z     }
2022-11-23T02:04:40.2027807Z }
2022-11-23T02:04:40.2027935Z ''')
2022-11-23T02:04:40.2027955Z 
2022-11-23T02:04:40.2027973Z 
2022-11-23T02:04:40.2028104Z async_compile.wait(globals())
2022-11-23T02:04:40.2028211Z del async_compile
2022-11-23T02:04:40.2028230Z 
2022-11-23T02:04:40.2028337Z def call(args):
2022-11-23T02:04:40.2028423Z     arg0_1, = args
2022-11-23T02:04:40.2028529Z     args.clear()
2022-11-23T02:04:40.2028819Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2029009Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2029111Z     del arg0_1
2022-11-23T02:04:40.2036526Z     return (buf0, )
2022-11-23T02:04:40.2036557Z 
2022-11-23T02:04:40.2036575Z 
2022-11-23T02:04:40.2036751Z if __name__ == "__main__":
2022-11-23T02:04:40.2036934Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2037119Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2037450Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2037590Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:40.2037610Z 
2022-11-23T02:04:40.2037628Z 
2022-11-23T02:04:40.2037774Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2037889Z import torch
2022-11-23T02:04:40.2038001Z import random
2022-11-23T02:04:40.2038170Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2038349Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2038368Z 
2022-11-23T02:04:40.2038489Z aten = torch.ops.aten
2022-11-23T02:04:40.2038681Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2038797Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2038950Z 
2022-11-23T02:04:40.2038968Z 
2022-11-23T02:04:40.2039188Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2039472Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2039655Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2039806Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2039915Z {
2022-11-23T02:04:40.2040067Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2040144Z     {
2022-11-23T02:04:40.2040267Z         #pragma omp for 
2022-11-23T02:04:40.2040397Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T02:04:40.2040499Z         {
2022-11-23T02:04:40.2040724Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.2040918Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T02:04:40.2041049Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.2041243Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.2041353Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.2041491Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.2041592Z         }
2022-11-23T02:04:40.2041736Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.2041932Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T02:04:40.2042037Z         {
2022-11-23T02:04:40.2042168Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.2042294Z             auto tmp1 = static_cast<float>(2);
2022-11-23T02:04:40.2042426Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T02:04:40.2042580Z             auto tmp3 = static_cast<float>(1);
2022-11-23T02:04:40.2042711Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T02:04:40.2042834Z             out_ptr0[i0] = tmp4;
2022-11-23T02:04:40.2042936Z         }
2022-11-23T02:04:40.2043010Z     }
2022-11-23T02:04:40.2043106Z }
2022-11-23T02:04:40.2043238Z ''')
2022-11-23T02:04:40.2043259Z 
2022-11-23T02:04:40.2043278Z 
2022-11-23T02:04:40.2043421Z async_compile.wait(globals())
2022-11-23T02:04:40.2043534Z del async_compile
2022-11-23T02:04:40.2043553Z 
2022-11-23T02:04:40.2043667Z def call(args):
2022-11-23T02:04:40.2043779Z     arg0_1, = args
2022-11-23T02:04:40.2043892Z     args.clear()
2022-11-23T02:04:40.2044167Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2044365Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2044475Z     del arg0_1
2022-11-23T02:04:40.2044593Z     return (buf0, )
2022-11-23T02:04:40.2044614Z 
2022-11-23T02:04:40.2044633Z 
2022-11-23T02:04:40.2044760Z if __name__ == "__main__":
2022-11-23T02:04:40.2044927Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2045108Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2045387Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2045522Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:40.2045545Z 
2022-11-23T02:04:40.2045654Z ok (10.703s)
2022-11-23T02:04:40.2046077Z   test_views3_cpu (__main__.CpuTests) ... [2022-11-23 02:02:07,228] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2046517Z [2022-11-23 02:02:07,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2046821Z [2022-11-23 02:02:07,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2047172Z [2022-11-23 02:02:07,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2047551Z [2022-11-23 02:02:07,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2047988Z [2022-11-23 02:02:07,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2048537Z [2022-11-23 02:02:07,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2048956Z [2022-11-23 02:02:07,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2049484Z [2022-11-23 02:02:07,229] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fa64115baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 979> 
2022-11-23T02:04:40.2049628Z  980           0 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:40.2049777Z               2 LOAD_ATTR                1 (ops)
2022-11-23T02:04:40.2049920Z               4 LOAD_ATTR                2 (aten)
2022-11-23T02:04:40.2050063Z               6 LOAD_METHOD              3 (index)
2022-11-23T02:04:40.2050202Z               8 LOAD_FAST                0 (arg1)
2022-11-23T02:04:40.2050344Z              10 LOAD_FAST                1 (arg2)
2022-11-23T02:04:40.2050451Z              12 BUILD_LIST               1
2022-11-23T02:04:40.2050587Z              14 CALL_METHOD              2
2022-11-23T02:04:40.2050732Z              16 STORE_FAST               2 (index)
2022-11-23T02:04:40.2050805Z 
2022-11-23T02:04:40.2050949Z 981          18 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:40.2051090Z              20 LOAD_ATTR                1 (ops)
2022-11-23T02:04:40.2051226Z              22 LOAD_ATTR                2 (aten)
2022-11-23T02:04:40.2051369Z              24 LOAD_METHOD              4 (view)
2022-11-23T02:04:40.2051507Z              26 LOAD_FAST                2 (index)
2022-11-23T02:04:40.2051614Z              28 BUILD_LIST               0
2022-11-23T02:04:40.2051760Z              30 LOAD_CONST               1 ((1, 2232, 64))
2022-11-23T02:04:40.2051891Z              32 LIST_EXTEND              1
2022-11-23T02:04:40.2052024Z              34 CALL_METHOD              2
2022-11-23T02:04:40.2052169Z              36 STORE_FAST               3 (view_1)
2022-11-23T02:04:40.2052188Z 
2022-11-23T02:04:40.2052323Z 982          38 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:40.2052461Z              40 LOAD_ATTR                1 (ops)
2022-11-23T02:04:40.2052576Z              42 LOAD_ATTR                2 (aten)
2022-11-23T02:04:40.2052718Z              44 LOAD_METHOD              4 (view)
2022-11-23T02:04:40.2052855Z              46 LOAD_FAST                3 (view_1)
2022-11-23T02:04:40.2052983Z              48 BUILD_LIST               0
2022-11-23T02:04:40.2053130Z              50 LOAD_CONST               2 ((1, 12, 62, 192))
2022-11-23T02:04:40.2053263Z              52 LIST_EXTEND              1
2022-11-23T02:04:40.2053396Z              54 CALL_METHOD              2
2022-11-23T02:04:40.2053537Z              56 STORE_FAST               4 (view_2)
2022-11-23T02:04:40.2053555Z 
2022-11-23T02:04:40.2053668Z 983          58 LOAD_FAST                4 (view_2)
2022-11-23T02:04:40.2053792Z              60 RETURN_VALUE
2022-11-23T02:04:40.2053895Z  
2022-11-23T02:04:40.2053914Z 
2022-11-23T02:04:40.2054350Z [2022-11-23 02:02:07,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:980
2022-11-23T02:04:40.2054660Z [2022-11-23 02:02:07,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:40.2055161Z [2022-11-23 02:02:07,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:40.2055564Z [2022-11-23 02:02:07,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:40.2055983Z [2022-11-23 02:02:07,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.2056986Z [2022-11-23 02:02:07,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg1 [TorchVariable(aten.index)]
2022-11-23T02:04:40.2057937Z [2022-11-23 02:02:07,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg2 [TorchVariable(aten.index), TensorVariable()]
2022-11-23T02:04:40.2058535Z [2022-11-23 02:02:07,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2058964Z [2022-11-23 02:02:07,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.2059301Z [2022-11-23 02:02:07,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index [TensorVariable()]
2022-11-23T02:04:40.2059729Z [2022-11-23 02:02:07,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:981
2022-11-23T02:04:40.2060032Z [2022-11-23 02:02:07,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:40.2060530Z [2022-11-23 02:02:07,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:40.2061022Z [2022-11-23 02:02:07,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:40.2061444Z [2022-11-23 02:02:07,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.2061796Z [2022-11-23 02:02:07,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.view)]
2022-11-23T02:04:40.2062176Z [2022-11-23 02:02:07,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.view), TensorVariable()]
2022-11-23T02:04:40.2062581Z [2022-11-23 02:02:07,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2232, 64) [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.2063055Z [2022-11-23 02:02:07,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.view), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:40.2063475Z [2022-11-23 02:02:07,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.2063814Z [2022-11-23 02:02:07,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view_1 [TensorVariable()]
2022-11-23T02:04:40.2064242Z [2022-11-23 02:02:07,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:982
2022-11-23T02:04:40.2064546Z [2022-11-23 02:02:07,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T02:04:40.2065033Z [2022-11-23 02:02:07,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:40.2065439Z [2022-11-23 02:02:07,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T02:04:40.2065854Z [2022-11-23 02:02:07,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T02:04:40.2066206Z [2022-11-23 02:02:07,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_1 [TorchVariable(aten.view)]
2022-11-23T02:04:40.2066558Z [2022-11-23 02:02:07,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.view), TensorVariable()]
2022-11-23T02:04:40.2066987Z [2022-11-23 02:02:07,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 12, 62, 192) [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.2067454Z [2022-11-23 02:02:07,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.view), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T02:04:40.2067938Z [2022-11-23 02:02:07,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T02:04:40.2068282Z [2022-11-23 02:02:07,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view_2 [TensorVariable()]
2022-11-23T02:04:40.2068707Z [2022-11-23 02:02:07,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:983
2022-11-23T02:04:40.2069018Z [2022-11-23 02:02:07,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_2 []
2022-11-23T02:04:40.2069356Z [2022-11-23 02:02:07,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:40.2069874Z [2022-11-23 02:02:07,266] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fa64115baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 979>
2022-11-23T02:04:40.2070262Z [2022-11-23 02:02:07,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:40.2070586Z [2022-11-23 02:02:07,266] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2070970Z [2022-11-23 02:02:07,268] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2071324Z [2022-11-23 02:02:07,276] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2071589Z [2022-11-23 02:02:07,276] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2071785Z  __compiled_fn_389 <eval_with_key>.2813 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2071922Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2072062Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2072227Z call_function, index, aten.index, (ex_0_, [ex_1_]), {}
2022-11-23T02:04:40.2072392Z call_function, view, aten.view, (index, [1, 2232, 64]), {}
2022-11-23T02:04:40.2072570Z call_function, view_1, aten.view, (view, [1, 12, 62, 192]), {}
2022-11-23T02:04:40.2072717Z output, output, output, ((view_1,),), {}
2022-11-23T02:04:40.2072743Z 
2022-11-23T02:04:40.2073189Z [2022-11-23 02:02:07,277] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2073332Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2073470Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2073579Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2073718Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2073848Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2073985Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2074103Z              12 RETURN_VALUE
2022-11-23T02:04:40.2074123Z 
2022-11-23T02:04:40.2074224Z  
2022-11-23T02:04:40.2074666Z [2022-11-23 02:02:07,277] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2074827Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_389)
2022-11-23T02:04:40.2074946Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2075084Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2075207Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2075343Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2075475Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2075593Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2075726Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2075838Z              16 UNPACK_SEQUENCE          1
2022-11-23T02:04:40.2075954Z              18 RETURN_VALUE
2022-11-23T02:04:40.2075975Z 
2022-11-23T02:04:40.2076068Z  
2022-11-23T02:04:40.2076331Z [2022-11-23 02:02:07,278] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2076504Z  - 
2022-11-23T02:04:40.2076680Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2076784Z             {
2022-11-23T02:04:40.2076964Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2077233Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2077409Z                 'obj_weakref': None
2022-11-23T02:04:40.2077723Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2077828Z             }
2022-11-23T02:04:40.2077930Z             
2022-11-23T02:04:40.2078045Z  - 
2022-11-23T02:04:40.2078202Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2078300Z             {
2022-11-23T02:04:40.2078504Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2078659Z                 'code': None,
2022-11-23T02:04:40.2078952Z                 'obj_weakref': <weakref at 0x7fa52467e5c0; to 'Tensor' at 0x7fa524641d50>
2022-11-23T02:04:40.2079311Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2079412Z             }
2022-11-23T02:04:40.2079489Z             
2022-11-23T02:04:40.2079599Z  - 
2022-11-23T02:04:40.2079838Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2079945Z             {
2022-11-23T02:04:40.2080153Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2080315Z                 'code': None,
2022-11-23T02:04:40.2080606Z                 'obj_weakref': <weakref at 0x7fa51c4d8400; to 'Tensor' at 0x7fa5500815d0>
2022-11-23T02:04:40.2080926Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2081028Z             }
2022-11-23T02:04:40.2081130Z             
2022-11-23T02:04:40.2081239Z  - 
2022-11-23T02:04:40.2081425Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2081527Z             {
2022-11-23T02:04:40.2081730Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2081942Z                 'code': ['___check_obj_id(model, 140351387747664)'],
2022-11-23T02:04:40.2082113Z                 'obj_weakref': None
2022-11-23T02:04:40.2082427Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2082531Z             }
2022-11-23T02:04:40.2082631Z             
2022-11-23T02:04:40.2082743Z  - 
2022-11-23T02:04:40.2082925Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2083002Z             {
2022-11-23T02:04:40.2083196Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2083492Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2083665Z                 'obj_weakref': None
2022-11-23T02:04:40.2083971Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2084075Z             }
2022-11-23T02:04:40.2084179Z             
2022-11-23T02:04:40.2084267Z  - 
2022-11-23T02:04:40.2084457Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:40.2084558Z             {
2022-11-23T02:04:40.2084731Z                 'guard_types': None,
2022-11-23T02:04:40.2084890Z                 'code': None,
2022-11-23T02:04:40.2085056Z                 'obj_weakref': None
2022-11-23T02:04:40.2085230Z                 'guarded_class': None
2022-11-23T02:04:40.2085307Z             }
2022-11-23T02:04:40.2085409Z             
2022-11-23T02:04:40.2085766Z [2022-11-23 02:02:07,294] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 381
2022-11-23T02:04:40.2086260Z [2022-11-23 02:02:09,971] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pi/cpipu6thck3zwbuwahjmdmrpvsgu5knge6szn5236sv6edmzyfgp.py
2022-11-23T02:04:40.2086628Z [2022-11-23 02:02:09,972] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 381
2022-11-23T02:04:40.2086710Z 
2022-11-23T02:04:40.2086858Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2086976Z import torch
2022-11-23T02:04:40.2087087Z import random
2022-11-23T02:04:40.2087232Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2087413Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2087432Z 
2022-11-23T02:04:40.2087553Z aten = torch.ops.aten
2022-11-23T02:04:40.2087744Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2087883Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2087902Z 
2022-11-23T02:04:40.2087921Z 
2022-11-23T02:04:40.2088122Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2088408Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2088583Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T02:04:40.2088779Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2088928Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2089032Z {
2022-11-23T02:04:40.2089180Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2089280Z     {
2022-11-23T02:04:40.2089398Z         #pragma omp for 
2022-11-23T02:04:40.2089523Z         for(long i0=0; i0<2232; i0+=1)
2022-11-23T02:04:40.2089656Z         {
2022-11-23T02:04:40.2089789Z             #pragma GCC ivdep
2022-11-23T02:04:40.2089919Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T02:04:40.2090019Z             {
2022-11-23T02:04:40.2090127Z                 {
2022-11-23T02:04:40.2090229Z                     {
2022-11-23T02:04:40.2090416Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.2090572Z                         auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2022-11-23T02:04:40.2090717Z                         out_ptr0[i1 + (64*i0)] = tmp1;
2022-11-23T02:04:40.2090823Z                     }
2022-11-23T02:04:40.2090928Z                 }
2022-11-23T02:04:40.2091028Z             }
2022-11-23T02:04:40.2091131Z         }
2022-11-23T02:04:40.2091205Z     }
2022-11-23T02:04:40.2091300Z }
2022-11-23T02:04:40.2091436Z ''')
2022-11-23T02:04:40.2091455Z 
2022-11-23T02:04:40.2091473Z 
2022-11-23T02:04:40.2091611Z async_compile.wait(globals())
2022-11-23T02:04:40.2091727Z del async_compile
2022-11-23T02:04:40.2091749Z 
2022-11-23T02:04:40.2091864Z def call(args):
2022-11-23T02:04:40.2091982Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2092071Z     args.clear()
2022-11-23T02:04:40.2092358Z     buf0 = empty_strided((2232, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2092591Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2092701Z     del arg0_1
2022-11-23T02:04:40.2092807Z     del arg1_1
2022-11-23T02:04:40.2092970Z     return (as_strided(buf0, (1, 12, 62, 192), (0, 11904, 192, 1)), )
2022-11-23T02:04:40.2092990Z 
2022-11-23T02:04:40.2093010Z 
2022-11-23T02:04:40.2093127Z if __name__ == "__main__":
2022-11-23T02:04:40.2093297Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2093452Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2093729Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2094004Z     arg1_1 = rand_strided((2232, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T02:04:40.2094174Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2094193Z 
2022-11-23T02:04:40.2094300Z ok (2.754s)
2022-11-23T02:04:40.2094753Z   test_zero_dim_reductions_cpu (__main__.CpuTests) ... [2022-11-23 02:02:10,030] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing <lambda>
2022-11-23T02:04:40.2095052Z [2022-11-23 02:02:10,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn []
2022-11-23T02:04:40.2095397Z [2022-11-23 02:02:10,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.all)]
2022-11-23T02:04:40.2095791Z [2022-11-23 02:02:10,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.all), TupleVariable()]
2022-11-23T02:04:40.2096746Z [2022-11-23 02:02:10,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:40.2097372Z [2022-11-23 02:02:10,033] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing <lambda>
2022-11-23T02:04:40.2097963Z [2022-11-23 02:02:10,034] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:40.2098327Z [2022-11-23 02:02:10,039] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:40.2098594Z [2022-11-23 02:02:10,040] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2098790Z  __compiled_fn_390 <eval_with_key>.2819 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2098921Z placeholder, x_0_, x_0_, (), {}
2022-11-23T02:04:40.2099082Z call_function, all_1, aten.all, (x_0_, 1, True), {}
2022-11-23T02:04:40.2099199Z output, output, output, ((all_1,),), {}
2022-11-23T02:04:40.2099228Z 
2022-11-23T02:04:40.2099688Z [2022-11-23 02:02:10,040] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE <lambda> /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 
2022-11-23T02:04:40.2099974Z 4521           0 LOAD_DEREF               0 (fn)
2022-11-23T02:04:40.2100119Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:40.2100257Z                4 CALL_FUNCTION_EX         0
2022-11-23T02:04:40.2100374Z                6 RETURN_VALUE
2022-11-23T02:04:40.2100394Z 
2022-11-23T02:04:40.2100491Z  
2022-11-23T02:04:40.2100944Z [2022-11-23 02:02:10,040] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE <lambda> /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 
2022-11-23T02:04:40.2101082Z 4521           0 LOAD_GLOBAL              0 (__compiled_fn_390)
2022-11-23T02:04:40.2101221Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:40.2101354Z                4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2101481Z                6 BINARY_SUBSCR
2022-11-23T02:04:40.2101620Z                8 CALL_FUNCTION            1
2022-11-23T02:04:40.2101758Z               10 UNPACK_SEQUENCE          1
2022-11-23T02:04:40.2101873Z               12 RETURN_VALUE
2022-11-23T02:04:40.2101897Z 
2022-11-23T02:04:40.2101993Z  
2022-11-23T02:04:40.2102231Z [2022-11-23 02:02:10,042] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2102346Z  - 
2022-11-23T02:04:40.2102518Z             local 'x' LIST_LENGTH
2022-11-23T02:04:40.2102620Z             {
2022-11-23T02:04:40.2102819Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2103076Z                 'code': ['___check_type_id(x, 93849050107520)', 'len(x) == 3'],
2022-11-23T02:04:40.2103247Z                 'obj_weakref': None
2022-11-23T02:04:40.2103533Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2103638Z             }
2022-11-23T02:04:40.2103743Z             
2022-11-23T02:04:40.2103853Z  - 
2022-11-23T02:04:40.2104045Z             local 'fn' FUNCTION_MATCH
2022-11-23T02:04:40.2104142Z             {
2022-11-23T02:04:40.2104337Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2104551Z                 'code': ['___check_obj_id(fn, 140348167691168)'],
2022-11-23T02:04:40.2104880Z                 'obj_weakref': <weakref at 0x7fa51c4da020; to 'OpOverloadPacket' at 0x7fa55aae1ba0>
2022-11-23T02:04:40.2105221Z                 'guarded_class': <weakref at 0x7fa55b2f0770; to 'type' at 0x555af5267920 (OpOverloadPacket)>
2022-11-23T02:04:40.2105326Z             }
2022-11-23T02:04:40.2105425Z             
2022-11-23T02:04:40.2105535Z  - 
2022-11-23T02:04:40.2105713Z             local 'x[0]' TENSOR_MATCH
2022-11-23T02:04:40.2105791Z             {
2022-11-23T02:04:40.2105992Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2106149Z                 'code': None,
2022-11-23T02:04:40.2106439Z                 'obj_weakref': <weakref at 0x7fa51c3a1d00; to 'Tensor' at 0x7fa51c350c20>
2022-11-23T02:04:40.2106947Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2107049Z             }
2022-11-23T02:04:40.2107153Z             
2022-11-23T02:04:40.2107247Z  - 
2022-11-23T02:04:40.2107433Z             local 'x[1]' CONSTANT_MATCH
2022-11-23T02:04:40.2107534Z             {
2022-11-23T02:04:40.2107739Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.2107994Z                 'code': ['___check_type_id(x[1], 93849050129792)', 'x[1] == 1'],
2022-11-23T02:04:40.2108166Z                 'obj_weakref': None
2022-11-23T02:04:40.2108472Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.2108549Z             }
2022-11-23T02:04:40.2108654Z             
2022-11-23T02:04:40.2108764Z  - 
2022-11-23T02:04:40.2108945Z             local 'x[2]' CONSTANT_MATCH
2022-11-23T02:04:40.2109048Z             {
2022-11-23T02:04:40.2109243Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2109471Z                 'code': ['___check_obj_id(x[2], 93849050167008)'],
2022-11-23T02:04:40.2109619Z                 'obj_weakref': None
2022-11-23T02:04:40.2109982Z                 'guarded_class': <weakref at 0x7fa6421a27a0; to 'type' at 0x555aef4c3700 (bool)>
2022-11-23T02:04:40.2110087Z             }
2022-11-23T02:04:40.2110190Z             
2022-11-23T02:04:40.2110549Z [2022-11-23 02:02:10,053] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 382
2022-11-23T02:04:40.2111043Z [2022-11-23 02:02:12,639] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k5/ck5ls2geoszjb5mbnwsym2l3clskycdqdr5kcxxgq3cthzekd5bd.py
2022-11-23T02:04:40.2111406Z [2022-11-23 02:02:12,640] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 382
2022-11-23T02:04:40.2111742Z [2022-11-23 02:02:12,697] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing <lambda>
2022-11-23T02:04:40.2112015Z [2022-11-23 02:02:12,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn []
2022-11-23T02:04:40.2112353Z [2022-11-23 02:02:12,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.all)]
2022-11-23T02:04:40.2112746Z [2022-11-23 02:02:12,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.all), TupleVariable()]
2022-11-23T02:04:40.2113081Z [2022-11-23 02:02:12,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T02:04:40.2113406Z [2022-11-23 02:02:12,700] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing <lambda>
2022-11-23T02:04:40.2113739Z [2022-11-23 02:02:12,701] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T02:04:40.2114066Z [2022-11-23 02:02:12,706] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T02:04:40.2114335Z [2022-11-23 02:02:12,706] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2114526Z  __compiled_fn_391 <eval_with_key>.2825 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2114634Z placeholder, x_0_, x_0_, (), {}
2022-11-23T02:04:40.2114803Z call_function, all_1, aten.all, (x_0_, 1, False), {}
2022-11-23T02:04:40.2114950Z output, output, output, ((all_1,),), {}
2022-11-23T02:04:40.2114970Z 
2022-11-23T02:04:40.2115422Z [2022-11-23 02:02:12,707] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE <lambda> /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 
2022-11-23T02:04:40.2115563Z 4521           0 LOAD_DEREF               0 (fn)
2022-11-23T02:04:40.2115702Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:40.2115842Z                4 CALL_FUNCTION_EX         0
2022-11-23T02:04:40.2115962Z                6 RETURN_VALUE
2022-11-23T02:04:40.2115982Z 
2022-11-23T02:04:40.2116055Z  
2022-11-23T02:04:40.2116507Z [2022-11-23 02:02:12,707] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE <lambda> /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 
2022-11-23T02:04:40.2116727Z 4521           0 LOAD_GLOBAL              0 (__compiled_fn_391)
2022-11-23T02:04:40.2116871Z                2 LOAD_FAST                0 (x)
2022-11-23T02:04:40.2117008Z                4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2117128Z                6 BINARY_SUBSCR
2022-11-23T02:04:40.2117274Z                8 CALL_FUNCTION            1
2022-11-23T02:04:40.2117390Z               10 UNPACK_SEQUENCE          1
2022-11-23T02:04:40.2117512Z               12 RETURN_VALUE
2022-11-23T02:04:40.2117530Z 
2022-11-23T02:04:40.2117629Z  
2022-11-23T02:04:40.2117887Z [2022-11-23 02:02:12,708] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2117998Z  - 
2022-11-23T02:04:40.2118168Z             local 'x' LIST_LENGTH
2022-11-23T02:04:40.2118269Z             {
2022-11-23T02:04:40.2118444Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2118701Z                 'code': ['___check_type_id(x, 93849050107520)', 'len(x) == 3'],
2022-11-23T02:04:40.2118872Z                 'obj_weakref': None
2022-11-23T02:04:40.2119177Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2119407Z             }
2022-11-23T02:04:40.2119512Z             
2022-11-23T02:04:40.2119627Z  - 
2022-11-23T02:04:40.2119785Z             local 'fn' FUNCTION_MATCH
2022-11-23T02:04:40.2119886Z             {
2022-11-23T02:04:40.2120079Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2120307Z                 'code': ['___check_obj_id(fn, 140348167691168)'],
2022-11-23T02:04:40.2120633Z                 'obj_weakref': <weakref at 0x7fa51c4da020; to 'OpOverloadPacket' at 0x7fa55aae1ba0>
2022-11-23T02:04:40.2120974Z                 'guarded_class': <weakref at 0x7fa55b2f0770; to 'type' at 0x555af5267920 (OpOverloadPacket)>
2022-11-23T02:04:40.2121074Z             }
2022-11-23T02:04:40.2121179Z             
2022-11-23T02:04:40.2121266Z  - 
2022-11-23T02:04:40.2121444Z             local 'x[0]' TENSOR_MATCH
2022-11-23T02:04:40.2121542Z             {
2022-11-23T02:04:40.2121745Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2121911Z                 'code': None,
2022-11-23T02:04:40.2122208Z                 'obj_weakref': <weakref at 0x7fa51c3606d0; to 'Tensor' at 0x7fa550098540>
2022-11-23T02:04:40.2122550Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2122628Z             }
2022-11-23T02:04:40.2122727Z             
2022-11-23T02:04:40.2122837Z  - 
2022-11-23T02:04:40.2123016Z             local 'x[1]' CONSTANT_MATCH
2022-11-23T02:04:40.2123113Z             {
2022-11-23T02:04:40.2123320Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.2123583Z                 'code': ['___check_type_id(x[1], 93849050129792)', 'x[1] == 1'],
2022-11-23T02:04:40.2123732Z                 'obj_weakref': None
2022-11-23T02:04:40.2124038Z                 'guarded_class': <weakref at 0x7fa6421a24d0; to 'type' at 0x555aef4ba580 (int)>
2022-11-23T02:04:40.2124138Z             }
2022-11-23T02:04:40.2124239Z             
2022-11-23T02:04:40.2124362Z  - 
2022-11-23T02:04:40.2124553Z             local 'x[2]' CONSTANT_MATCH
2022-11-23T02:04:40.2124631Z             {
2022-11-23T02:04:40.2124823Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2125052Z                 'code': ['___check_obj_id(x[2], 93849050166976)'],
2022-11-23T02:04:40.2125223Z                 'obj_weakref': None
2022-11-23T02:04:40.2125526Z                 'guarded_class': <weakref at 0x7fa6421a27a0; to 'type' at 0x555aef4c3700 (bool)>
2022-11-23T02:04:40.2125623Z             }
2022-11-23T02:04:40.2125725Z             
2022-11-23T02:04:40.2126088Z [2022-11-23 02:02:12,719] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 383
2022-11-23T02:04:40.2126558Z [2022-11-23 02:02:12,730] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tu/ctuio7q7xpih2b4rysiuyjt2n3kdggb7rzbetwhb6ppwfsioeklc.py
2022-11-23T02:04:40.2127025Z [2022-11-23 02:02:12,730] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 383
2022-11-23T02:04:40.2127050Z 
2022-11-23T02:04:40.2127191Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2127305Z import torch
2022-11-23T02:04:40.2127415Z import random
2022-11-23T02:04:40.2127584Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2127759Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2127778Z 
2022-11-23T02:04:40.2127902Z aten = torch.ops.aten
2022-11-23T02:04:40.2128069Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2128210Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2128229Z 
2022-11-23T02:04:40.2128248Z 
2022-11-23T02:04:40.2128450Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2128735Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2128904Z extern "C" void kernel(bool* __restrict__ out_ptr0)
2022-11-23T02:04:40.2129010Z {
2022-11-23T02:04:40.2129134Z     #pragma GCC ivdep
2022-11-23T02:04:40.2129257Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:40.2129394Z     {
2022-11-23T02:04:40.2129500Z         {
2022-11-23T02:04:40.2129599Z             {
2022-11-23T02:04:40.2129762Z                 auto tmp0 = static_cast<bool>(false);
2022-11-23T02:04:40.2129891Z                 auto tmp1 = tmp0 == 0;
2022-11-23T02:04:40.2130017Z                 out_ptr0[i0] = tmp1;
2022-11-23T02:04:40.2130094Z             }
2022-11-23T02:04:40.2130194Z         }
2022-11-23T02:04:40.2130290Z     }
2022-11-23T02:04:40.2130385Z }
2022-11-23T02:04:40.2130514Z ''')
2022-11-23T02:04:40.2130534Z 
2022-11-23T02:04:40.2130553Z 
2022-11-23T02:04:40.2130693Z async_compile.wait(globals())
2022-11-23T02:04:40.2130808Z del async_compile
2022-11-23T02:04:40.2130827Z 
2022-11-23T02:04:40.2130919Z def call(args):
2022-11-23T02:04:40.2131029Z     arg0_1, = args
2022-11-23T02:04:40.2131140Z     args.clear()
2022-11-23T02:04:40.2131405Z     buf0 = empty_strided((2, 1), (1, 1), device='cpu', dtype=torch.bool)
2022-11-23T02:04:40.2131565Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2131678Z     return (buf0, )
2022-11-23T02:04:40.2131697Z 
2022-11-23T02:04:40.2131716Z 
2022-11-23T02:04:40.2131835Z if __name__ == "__main__":
2022-11-23T02:04:40.2132001Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2132156Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2132431Z     arg0_1 = rand_strided((2, 0), (1, 1), device='cpu', dtype=torch.float16)
2022-11-23T02:04:40.2132590Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:40.2132609Z 
2022-11-23T02:04:40.2132627Z 
2022-11-23T02:04:40.2132771Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2132884Z import torch
2022-11-23T02:04:40.2132993Z import random
2022-11-23T02:04:40.2133166Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2133341Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2133360Z 
2022-11-23T02:04:40.2133459Z aten = torch.ops.aten
2022-11-23T02:04:40.2133654Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2133796Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2133815Z 
2022-11-23T02:04:40.2133834Z 
2022-11-23T02:04:40.2134027Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2134315Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2134490Z extern "C" void kernel(bool* __restrict__ out_ptr0)
2022-11-23T02:04:40.2134589Z {
2022-11-23T02:04:40.2134707Z     #pragma GCC ivdep
2022-11-23T02:04:40.2134809Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T02:04:40.2134904Z     {
2022-11-23T02:04:40.2135003Z         {
2022-11-23T02:04:40.2135105Z             {
2022-11-23T02:04:40.2135254Z                 auto tmp0 = static_cast<bool>(false);
2022-11-23T02:04:40.2135455Z                 auto tmp1 = tmp0 == 0;
2022-11-23T02:04:40.2135557Z                 out_ptr0[i0] = tmp1;
2022-11-23T02:04:40.2135661Z             }
2022-11-23T02:04:40.2135761Z         }
2022-11-23T02:04:40.2135865Z     }
2022-11-23T02:04:40.2135965Z }
2022-11-23T02:04:40.2136783Z ''')
2022-11-23T02:04:40.2136814Z 
2022-11-23T02:04:40.2136875Z 
2022-11-23T02:04:40.2137073Z async_compile.wait(globals())
2022-11-23T02:04:40.2137225Z del async_compile
2022-11-23T02:04:40.2137286Z 
2022-11-23T02:04:40.2137432Z def call(args):
2022-11-23T02:04:40.2137595Z     arg0_1, = args
2022-11-23T02:04:40.2137774Z     args.clear()
2022-11-23T02:04:40.2138241Z     buf0 = empty_strided((2, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T02:04:40.2138464Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2138579Z     return (buf0, )
2022-11-23T02:04:40.2138599Z 
2022-11-23T02:04:40.2138617Z 
2022-11-23T02:04:40.2138736Z if __name__ == "__main__":
2022-11-23T02:04:40.2138886Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2139065Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2139341Z     arg0_1 = rand_strided((2, 0), (1, 1), device='cpu', dtype=torch.float16)
2022-11-23T02:04:40.2139648Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:40.2139669Z 
2022-11-23T02:04:40.2139780Z ok (2.759s)
2022-11-23T02:04:40.2140209Z   test_zeros_cpu (__main__.CpuTests) ... [2022-11-23 02:02:12,739] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2140626Z [2022-11-23 02:02:12,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2140931Z [2022-11-23 02:02:12,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2141251Z [2022-11-23 02:02:12,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2141634Z [2022-11-23 02:02:12,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2142070Z [2022-11-23 02:02:12,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2142597Z [2022-11-23 02:02:12,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2143033Z [2022-11-23 02:02:12,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2143543Z [2022-11-23 02:02:12,740] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7fa640f9f310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2769> 
2022-11-23T02:04:40.2143681Z  2771           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2143823Z                2 LOAD_CONST               1 (1)
2022-11-23T02:04:40.2143940Z                4 BINARY_ADD
2022-11-23T02:04:40.2143960Z 
2022-11-23T02:04:40.2144103Z 2772           6 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:40.2144220Z                8 LOAD_ATTR                1 (zeros)
2022-11-23T02:04:40.2144239Z 
2022-11-23T02:04:40.2144384Z 2773          10 LOAD_CONST               2 ((1, 8, 64, 64))
2022-11-23T02:04:40.2144404Z 
2022-11-23T02:04:40.2144548Z 2774          12 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:40.2144689Z               14 LOAD_ATTR                2 (float32)
2022-11-23T02:04:40.2144708Z 
2022-11-23T02:04:40.2144842Z 2775          16 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2144984Z               18 LOAD_ATTR                3 (device)
2022-11-23T02:04:40.2145003Z 
2022-11-23T02:04:40.2145235Z 2772          20 LOAD_CONST               3 (('dtype', 'device'))
2022-11-23T02:04:40.2145379Z               22 CALL_FUNCTION_KW         3
2022-11-23T02:04:40.2145478Z 
2022-11-23T02:04:40.2145625Z 2777          24 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:40.2145738Z               26 LOAD_ATTR                1 (zeros)
2022-11-23T02:04:40.2145757Z 
2022-11-23T02:04:40.2145900Z 2778          28 LOAD_CONST               1 (1)
2022-11-23T02:04:40.2145919Z 
2022-11-23T02:04:40.2146054Z 2779          30 LOAD_CONST               4 (8)
2022-11-23T02:04:40.2146073Z 
2022-11-23T02:04:40.2146206Z 2780          32 LOAD_CONST               5 (64)
2022-11-23T02:04:40.2146224Z 
2022-11-23T02:04:40.2146357Z 2781          34 LOAD_CONST               5 (64)
2022-11-23T02:04:40.2146376Z 
2022-11-23T02:04:40.2146510Z 2782          36 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:40.2146645Z               38 LOAD_ATTR                2 (float32)
2022-11-23T02:04:40.2146664Z 
2022-11-23T02:04:40.2146797Z 2783          40 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2146937Z               42 LOAD_ATTR                3 (device)
2022-11-23T02:04:40.2146958Z 
2022-11-23T02:04:40.2147168Z 2777          44 LOAD_CONST               3 (('dtype', 'device'))
2022-11-23T02:04:40.2147308Z               46 CALL_FUNCTION_KW         6
2022-11-23T02:04:40.2147328Z 
2022-11-23T02:04:40.2147517Z 2785          48 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:40.2147658Z               50 LOAD_ATTR                1 (zeros)
2022-11-23T02:04:40.2147794Z               52 LOAD_CONST               6 (2)
2022-11-23T02:04:40.2147931Z               54 LOAD_CONST               7 (3)
2022-11-23T02:04:40.2148067Z               56 LOAD_CONST               0 (None)
2022-11-23T02:04:40.2148283Z               58 LOAD_CONST               8 (('names',))
2022-11-23T02:04:40.2148401Z               60 CALL_FUNCTION_KW         3
2022-11-23T02:04:40.2148422Z 
2022-11-23T02:04:40.2148555Z 2786          62 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2148697Z               64 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:40.2148838Z               66 LOAD_ATTR                4 (ones)
2022-11-23T02:04:40.2148977Z               68 LOAD_CONST               4 (8)
2022-11-23T02:04:40.2149110Z               70 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2149250Z               72 LOAD_ATTR                3 (device)
2022-11-23T02:04:40.2149446Z               74 LOAD_CONST               9 (('device',))
2022-11-23T02:04:40.2149589Z               76 CALL_FUNCTION_KW         2
2022-11-23T02:04:40.2149707Z               78 BINARY_ADD
2022-11-23T02:04:40.2149726Z 
2022-11-23T02:04:40.2149864Z 2787          80 LOAD_GLOBAL              0 (torch)
2022-11-23T02:04:40.2149998Z               82 LOAD_ATTR                5 (full)
2022-11-23T02:04:40.2150135Z               84 LOAD_CONST              10 ((2, 3))
2022-11-23T02:04:40.2150275Z               86 LOAD_CONST              11 (3.1416)
2022-11-23T02:04:40.2150406Z               88 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2150522Z               90 LOAD_ATTR                3 (device)
2022-11-23T02:04:40.2150733Z               92 LOAD_CONST               9 (('device',))
2022-11-23T02:04:40.2150874Z               94 CALL_FUNCTION_KW         3
2022-11-23T02:04:40.2150892Z 
2022-11-23T02:04:40.2151026Z 2770          96 BUILD_TUPLE              6
2022-11-23T02:04:40.2151142Z               98 RETURN_VALUE
2022-11-23T02:04:40.2151242Z  
2022-11-23T02:04:40.2151262Z 
2022-11-23T02:04:40.2151698Z [2022-11-23 02:02:12,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2771
2022-11-23T02:04:40.2151993Z [2022-11-23 02:02:12,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2152297Z [2022-11-23 02:02:12,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T02:04:40.2152678Z [2022-11-23 02:02:12,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T02:04:40.2153101Z [2022-11-23 02:02:12,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2772
2022-11-23T02:04:40.2153501Z [2022-11-23 02:02:12,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T02:04:40.2154039Z [2022-11-23 02:02:12,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:40.2154522Z [2022-11-23 02:02:12,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2773
2022-11-23T02:04:40.2155014Z [2022-11-23 02:02:12,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 8, 64, 64) [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:40.2155435Z [2022-11-23 02:02:12,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2774
2022-11-23T02:04:40.2155973Z [2022-11-23 02:02:12,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(tuple)]
2022-11-23T02:04:40.2156751Z [2022-11-23 02:02:12,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(tuple), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:40.2157182Z [2022-11-23 02:02:12,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2775
2022-11-23T02:04:40.2157759Z [2022-11-23 02:02:12,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(tuple), ConstantVariable(dtype)]
2022-11-23T02:04:40.2158381Z [2022-11-23 02:02:12,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(tuple), ConstantVariable(dtype), TensorVariable()]
2022-11-23T02:04:40.2158781Z [2022-11-23 02:02:12,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2772
2022-11-23T02:04:40.2159445Z [2022-11-23 02:02:12,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(tuple), ConstantVariable(dtype), TorchVariable(cpu)]
2022-11-23T02:04:40.2160129Z [2022-11-23 02:02:12,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(tuple), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:40.2160560Z [2022-11-23 02:02:12,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2777
2022-11-23T02:04:40.2160942Z [2022-11-23 02:02:12,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2161512Z [2022-11-23 02:02:12,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:40.2161936Z [2022-11-23 02:02:12,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2778
2022-11-23T02:04:40.2162438Z [2022-11-23 02:02:12,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:40.2162912Z [2022-11-23 02:02:12,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2779
2022-11-23T02:04:40.2163476Z [2022-11-23 02:02:12,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(int)]
2022-11-23T02:04:40.2163899Z [2022-11-23 02:02:12,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2780
2022-11-23T02:04:40.2164509Z [2022-11-23 02:02:12,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:40.2164921Z [2022-11-23 02:02:12,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2781
2022-11-23T02:04:40.2165644Z [2022-11-23 02:02:12,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:40.2166075Z [2022-11-23 02:02:12,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2782
2022-11-23T02:04:40.2166763Z [2022-11-23 02:02:12,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:40.2167670Z [2022-11-23 02:02:12,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:40.2168110Z [2022-11-23 02:02:12,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2783
2022-11-23T02:04:40.2168910Z [2022-11-23 02:02:12,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T02:04:40.2169702Z [2022-11-23 02:02:12,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T02:04:40.2170135Z [2022-11-23 02:02:12,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2777
2022-11-23T02:04:40.2170968Z [2022-11-23 02:02:12,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)]
2022-11-23T02:04:40.2171832Z [2022-11-23 02:02:12,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:40.2172355Z [2022-11-23 02:02:12,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2785
2022-11-23T02:04:40.2172774Z [2022-11-23 02:02:12,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2173386Z [2022-11-23 02:02:12,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:40.2173938Z [2022-11-23 02:02:12,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:40.2174536Z [2022-11-23 02:02:12,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(int)]
2022-11-23T02:04:40.2175253Z [2022-11-23 02:02:12,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T02:04:40.2175976Z [2022-11-23 02:02:12,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('names',) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T02:04:40.2177883Z [2022-11-23 02:02:12,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7fa5855aec60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T02:04:40.2178525Z [2022-11-23 02:02:12,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2786
2022-11-23T02:04:40.2178976Z [2022-11-23 02:02:12,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2179463Z [2022-11-23 02:02:12,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2180138Z [2022-11-23 02:02:12,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:40.2180750Z [2022-11-23 02:02:12,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:40.2181419Z [2022-11-23 02:02:12,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7fa5855aec60>), ConstantVariable(int)]
2022-11-23T02:04:40.2182125Z [2022-11-23 02:02:12,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7fa5855aec60>), ConstantVariable(int), TensorVariable()]
2022-11-23T02:04:40.2182842Z [2022-11-23 02:02:12,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7fa5855aec60>), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T02:04:40.2183809Z [2022-11-23 02:02:12,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7fa5855aec60>), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:40.2184322Z [2022-11-23 02:02:12,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2184721Z [2022-11-23 02:02:12,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2787
2022-11-23T02:04:40.2185203Z [2022-11-23 02:02:12,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2185955Z [2022-11-23 02:02:12,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR full [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T02:04:40.2186592Z [2022-11-23 02:02:12,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 3) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7fa5855aec60>)]
2022-11-23T02:04:40.2187268Z [2022-11-23 02:02:12,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.1416 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7fa5855aec60>), ConstantVariable(tuple)]
2022-11-23T02:04:40.2187989Z [2022-11-23 02:02:12,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7fa5855aec60>), ConstantVariable(tuple), ConstantVariable(float)]
2022-11-23T02:04:40.2188817Z [2022-11-23 02:02:12,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7fa5855aec60>), ConstantVariable(tuple), ConstantVariable(float), TensorVariable()]
2022-11-23T02:04:40.2189587Z [2022-11-23 02:02:12,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7fa5855aec60>), ConstantVariable(tuple), ConstantVariable(float), TorchVariable(cpu)]
2022-11-23T02:04:40.2190409Z [2022-11-23 02:02:12,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7fa5855aec60>), ConstantVariable(tuple), ConstantVariable(float), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T02:04:40.2190845Z [2022-11-23 02:02:12,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2770
2022-11-23T02:04:40.2191357Z [2022-11-23 02:02:12,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2191692Z [2022-11-23 02:02:12,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2192202Z [2022-11-23 02:02:12,767] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7fa640f9f310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2769>
2022-11-23T02:04:40.2192640Z [2022-11-23 02:02:12,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2192972Z [2022-11-23 02:02:12,768] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2193319Z [2022-11-23 02:02:12,771] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2193664Z [2022-11-23 02:02:12,782] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2193908Z [2022-11-23 02:02:12,782] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2194104Z  __compiled_fn_392 <eval_with_key>.2831 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2194241Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2194484Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T02:04:40.2194916Z call_function, zeros, <built-in method zeros of type object at 0x7fa5855aec60>, ((1, 8, 64, 64),), {'dtype': torch.float32, 'device': device(type='cpu')}
2022-11-23T02:04:40.2195403Z call_function, zeros_1, <built-in method zeros of type object at 0x7fa5855aec60>, (1, 8, 64, 64), {'dtype': torch.float32, 'device': device(type='cpu')}
2022-11-23T02:04:40.2195746Z call_function, zeros_2, <built-in method zeros of type object at 0x7fa5855aec60>, (2, 3), {'names': None}
2022-11-23T02:04:40.2196104Z call_function, ones, <built-in method ones of type object at 0x7fa5855aec60>, (8,), {'device': device(type='cpu')}
2022-11-23T02:04:40.2196328Z call_function, add_1, <built-in function add>, (ex_0_, ones), {}
2022-11-23T02:04:40.2196699Z call_function, full, <built-in method full of type object at 0x7fa5855aec60>, ((2, 3), 3.1416), {'device': device(type='cpu')}
2022-11-23T02:04:40.2196896Z output, output, output, ((add, zeros, zeros_1, zeros_2, add_1, full),), {}
2022-11-23T02:04:40.2196924Z 
2022-11-23T02:04:40.2197375Z [2022-11-23 02:02:12,783] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2197517Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2197662Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2197794Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2197933Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2198072Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2198183Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2198302Z              12 RETURN_VALUE
2022-11-23T02:04:40.2198322Z 
2022-11-23T02:04:40.2198421Z  
2022-11-23T02:04:40.2198864Z [2022-11-23 02:02:12,783] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2199025Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_392)
2022-11-23T02:04:40.2199168Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2199306Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2199400Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2199532Z               8 CALL_FUNCTION            1
2022-11-23T02:04:40.2199693Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2199849Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2199983Z              14 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2200101Z              16 BINARY_SUBSCR
2022-11-23T02:04:40.2200255Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2200367Z              20 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2200490Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2200636Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2200772Z              26 LOAD_CONST               3 (2)
2022-11-23T02:04:40.2200888Z              28 BINARY_SUBSCR
2022-11-23T02:04:40.2201149Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2201287Z              32 LOAD_CONST               4 (3)
2022-11-23T02:04:40.2201411Z              34 BINARY_SUBSCR
2022-11-23T02:04:40.2201541Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2201677Z              38 LOAD_CONST               5 (4)
2022-11-23T02:04:40.2201793Z              40 BINARY_SUBSCR
2022-11-23T02:04:40.2201941Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2202072Z              44 LOAD_CONST               6 (5)
2022-11-23T02:04:40.2202188Z              46 BINARY_SUBSCR
2022-11-23T02:04:40.2202319Z              48 BUILD_TUPLE              6
2022-11-23T02:04:40.2202412Z              50 RETURN_VALUE
2022-11-23T02:04:40.2202433Z 
2022-11-23T02:04:40.2202530Z  
2022-11-23T02:04:40.2202807Z [2022-11-23 02:02:12,785] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2202920Z  - 
2022-11-23T02:04:40.2203101Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2203203Z             {
2022-11-23T02:04:40.2203412Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2203651Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 1'],
2022-11-23T02:04:40.2203891Z                 'obj_weakref': None
2022-11-23T02:04:40.2204218Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2204324Z             }
2022-11-23T02:04:40.2204427Z             
2022-11-23T02:04:40.2204537Z  - 
2022-11-23T02:04:40.2204719Z             local 'ex[0]' TYPE_MATCH
2022-11-23T02:04:40.2204798Z             {
2022-11-23T02:04:40.2204994Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T02:04:40.2205235Z                 'code': ['___check_type_id(ex[0], 93849142100368)'],
2022-11-23T02:04:40.2205532Z                 'obj_weakref': <weakref at 0x7fa51c4982c0; to 'Tensor' at 0x7fa5322ef240>
2022-11-23T02:04:40.2205876Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2205984Z             }
2022-11-23T02:04:40.2206083Z             
2022-11-23T02:04:40.2206171Z  - 
2022-11-23T02:04:40.2206356Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2206462Z             {
2022-11-23T02:04:40.2206664Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2206826Z                 'code': None,
2022-11-23T02:04:40.2207116Z                 'obj_weakref': <weakref at 0x7fa51c4982c0; to 'Tensor' at 0x7fa5322ef240>
2022-11-23T02:04:40.2207463Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2207540Z             }
2022-11-23T02:04:40.2207641Z             
2022-11-23T02:04:40.2207755Z  - 
2022-11-23T02:04:40.2207945Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2208047Z             {
2022-11-23T02:04:40.2208242Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2208484Z                 'code': ['___check_obj_id(model, 140347117827936)'],
2022-11-23T02:04:40.2208634Z                 'obj_weakref': None
2022-11-23T02:04:40.2208953Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2209058Z             }
2022-11-23T02:04:40.2209160Z             
2022-11-23T02:04:40.2209270Z  - 
2022-11-23T02:04:40.2209444Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2209545Z             {
2022-11-23T02:04:40.2209718Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2210016Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2210189Z                 'obj_weakref': None
2022-11-23T02:04:40.2210494Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2210592Z             }
2022-11-23T02:04:40.2210691Z             
2022-11-23T02:04:40.2210873Z  - 
2022-11-23T02:04:40.2211043Z             global 'torch' FUNCTION_MATCH
2022-11-23T02:04:40.2211143Z             {
2022-11-23T02:04:40.2211321Z                 'guard_types': None,
2022-11-23T02:04:40.2211477Z                 'code': None,
2022-11-23T02:04:40.2211651Z                 'obj_weakref': None
2022-11-23T02:04:40.2211831Z                 'guarded_class': None
2022-11-23T02:04:40.2211932Z             }
2022-11-23T02:04:40.2212009Z             
2022-11-23T02:04:40.2212117Z  - 
2022-11-23T02:04:40.2212335Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T02:04:40.2212436Z             {
2022-11-23T02:04:40.2212639Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T02:04:40.2212879Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T02:04:40.2213057Z                 'obj_weakref': None
2022-11-23T02:04:40.2213345Z                 'guarded_class': <weakref at 0x7fa5bc5e1e40; to 'type' at 0x7fa5855aac80 (dtype)>
2022-11-23T02:04:40.2213453Z             }
2022-11-23T02:04:40.2213555Z             
2022-11-23T02:04:40.2213915Z [2022-11-23 02:02:12,803] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 384
2022-11-23T02:04:40.2214472Z [2022-11-23 02:02:15,473] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ak/cakqranemvig7asc2bwwnfl65ttowprddmjqvknciko6k3v6rxoj.py
2022-11-23T02:04:40.2214842Z [2022-11-23 02:02:15,474] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 384
2022-11-23T02:04:40.2214866Z 
2022-11-23T02:04:40.2215011Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2215117Z import torch
2022-11-23T02:04:40.2215203Z import random
2022-11-23T02:04:40.2215375Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2215550Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2215569Z 
2022-11-23T02:04:40.2215690Z aten = torch.ops.aten
2022-11-23T02:04:40.2215887Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2216570Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2216604Z 
2022-11-23T02:04:40.2216624Z 
2022-11-23T02:04:40.2216986Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2217311Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2217465Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2217612Z                        float* __restrict__ out_ptr0,
2022-11-23T02:04:40.2217756Z                        float* __restrict__ out_ptr1,
2022-11-23T02:04:40.2217897Z                        float* __restrict__ out_ptr2,
2022-11-23T02:04:40.2218037Z                        float* __restrict__ out_ptr3,
2022-11-23T02:04:40.2218176Z                        float* __restrict__ out_ptr4,
2022-11-23T02:04:40.2218315Z                        float* __restrict__ out_ptr5)
2022-11-23T02:04:40.2218389Z {
2022-11-23T02:04:40.2218533Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2218640Z     {
2022-11-23T02:04:40.2218760Z         #pragma omp for 
2022-11-23T02:04:40.2218884Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:40.2218983Z         {
2022-11-23T02:04:40.2219217Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.2219389Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T02:04:40.2219518Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2219658Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.2219797Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T02:04:40.2219897Z         }
2022-11-23T02:04:40.2220038Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.2220165Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T02:04:40.2220242Z         {
2022-11-23T02:04:40.2220373Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.2220519Z             auto tmp1 = static_cast<float>(1);
2022-11-23T02:04:40.2220650Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2220958Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.2221082Z             out_ptr1[i0] = tmp2;
2022-11-23T02:04:40.2221181Z         }
2022-11-23T02:04:40.2221277Z         #pragma omp for 
2022-11-23T02:04:40.2221402Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T02:04:40.2221507Z         {
2022-11-23T02:04:40.2221699Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T02:04:40.2221836Z             tmp0.store(out_ptr2 + 8*i0);
2022-11-23T02:04:40.2221940Z         }
2022-11-23T02:04:40.2222080Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.2222193Z         for(long i0=32768; i0<32768; i0+=1)
2022-11-23T02:04:40.2222292Z         {
2022-11-23T02:04:40.2222441Z             auto tmp0 = static_cast<float>(0);
2022-11-23T02:04:40.2222564Z             out_ptr2[i0] = tmp0;
2022-11-23T02:04:40.2222662Z         }
2022-11-23T02:04:40.2222777Z         #pragma omp for 
2022-11-23T02:04:40.2222879Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T02:04:40.2222983Z         {
2022-11-23T02:04:40.2223170Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T02:04:40.2223303Z             tmp0.store(out_ptr3 + 8*i0);
2022-11-23T02:04:40.2223399Z         }
2022-11-23T02:04:40.2223613Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.2223756Z         for(long i0=32768; i0<32768; i0+=1)
2022-11-23T02:04:40.2223853Z         {
2022-11-23T02:04:40.2223977Z             auto tmp0 = static_cast<float>(0);
2022-11-23T02:04:40.2224101Z             out_ptr3[i0] = tmp0;
2022-11-23T02:04:40.2224201Z         }
2022-11-23T02:04:40.2224324Z         #pragma omp single
2022-11-23T02:04:40.2224423Z         {
2022-11-23T02:04:40.2224585Z             #pragma GCC ivdep
2022-11-23T02:04:40.2224686Z             for(long i0=0; i0<6; i0+=1)
2022-11-23T02:04:40.2224785Z             {
2022-11-23T02:04:40.2224890Z                 {
2022-11-23T02:04:40.2224995Z                     {
2022-11-23T02:04:40.2225150Z                         auto tmp0 = static_cast<float>(0);
2022-11-23T02:04:40.2225290Z                         out_ptr4[i0] = tmp0;
2022-11-23T02:04:40.2225396Z                     }
2022-11-23T02:04:40.2225474Z                 }
2022-11-23T02:04:40.2225580Z             }
2022-11-23T02:04:40.2225676Z         }
2022-11-23T02:04:40.2225803Z         #pragma omp single
2022-11-23T02:04:40.2225903Z         {
2022-11-23T02:04:40.2226029Z             #pragma GCC ivdep
2022-11-23T02:04:40.2226157Z             for(long i0=0; i0<6; i0+=1)
2022-11-23T02:04:40.2226236Z             {
2022-11-23T02:04:40.2226337Z                 {
2022-11-23T02:04:40.2226440Z                     {
2022-11-23T02:04:40.2226604Z                         auto tmp0 = static_cast<float>(3.1416);
2022-11-23T02:04:40.2226743Z                         out_ptr5[i0] = tmp0;
2022-11-23T02:04:40.2226849Z                     }
2022-11-23T02:04:40.2226929Z                 }
2022-11-23T02:04:40.2227033Z             }
2022-11-23T02:04:40.2227128Z         }
2022-11-23T02:04:40.2227225Z     }
2022-11-23T02:04:40.2227325Z }
2022-11-23T02:04:40.2227467Z ''')
2022-11-23T02:04:40.2227489Z 
2022-11-23T02:04:40.2227507Z 
2022-11-23T02:04:40.2227652Z async_compile.wait(globals())
2022-11-23T02:04:40.2227740Z del async_compile
2022-11-23T02:04:40.2227788Z 
2022-11-23T02:04:40.2227879Z def call(args):
2022-11-23T02:04:40.2227995Z     arg0_1, = args
2022-11-23T02:04:40.2228106Z     args.clear()
2022-11-23T02:04:40.2228379Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2228648Z     buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2228957Z     buf1 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2229257Z     buf2 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2229501Z     buf3 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2229765Z     buf5 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2230193Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T02:04:40.2230306Z     del arg0_1
2022-11-23T02:04:40.2230458Z     return (buf0, buf1, buf2, buf3, buf4, buf5, )
2022-11-23T02:04:40.2230477Z 
2022-11-23T02:04:40.2230497Z 
2022-11-23T02:04:40.2230615Z if __name__ == "__main__":
2022-11-23T02:04:40.2230783Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2230962Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2231241Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2231377Z     print_performance(lambda: call([arg0_1]))
2022-11-23T02:04:40.2231396Z 
2022-11-23T02:04:40.2231502Z ok (2.744s)
2022-11-23T02:04:40.2231983Z   test_cpu_broadcast1_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:15,484] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2232421Z [2022-11-23 02:02:15,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2232770Z [2022-11-23 02:02:15,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2233122Z [2022-11-23 02:02:15,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2233509Z [2022-11-23 02:02:15,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2233939Z [2022-11-23 02:02:15,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2234410Z [2022-11-23 02:02:15,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2234831Z [2022-11-23 02:02:15,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2235353Z [2022-11-23 02:02:15,485] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2235493Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2235630Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2235744Z               4 BINARY_ADD
2022-11-23T02:04:40.2235878Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2235996Z               8 RETURN_VALUE
2022-11-23T02:04:40.2236092Z  
2022-11-23T02:04:40.2236112Z 
2022-11-23T02:04:40.2236516Z [2022-11-23 02:02:15,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2236812Z [2022-11-23 02:02:15,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2237139Z [2022-11-23 02:02:15,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2237513Z [2022-11-23 02:02:15,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2237848Z [2022-11-23 02:02:15,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2238183Z [2022-11-23 02:02:15,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2238695Z [2022-11-23 02:02:15,487] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2239037Z [2022-11-23 02:02:15,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2239417Z [2022-11-23 02:02:15,488] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2239769Z [2022-11-23 02:02:15,489] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2240087Z [2022-11-23 02:02:15,494] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2240358Z [2022-11-23 02:02:15,495] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2240550Z  __compiled_fn_393 <eval_with_key>.2837 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2240684Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2240817Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2241068Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2241218Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2241238Z 
2022-11-23T02:04:40.2241686Z [2022-11-23 02:02:15,495] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2241811Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2241949Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2242133Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2242281Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2242413Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2242550Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2242668Z              12 RETURN_VALUE
2022-11-23T02:04:40.2242688Z 
2022-11-23T02:04:40.2242786Z  
2022-11-23T02:04:40.2243203Z [2022-11-23 02:02:15,495] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2243364Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_393)
2022-11-23T02:04:40.2243499Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2243641Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2243760Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2243891Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2244027Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2244120Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2244254Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2244409Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2244558Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2244696Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2244817Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2244948Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2245041Z              26 RETURN_VALUE
2022-11-23T02:04:40.2245081Z 
2022-11-23T02:04:40.2245155Z  
2022-11-23T02:04:40.2245417Z [2022-11-23 02:02:15,497] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2245536Z  - 
2022-11-23T02:04:40.2245710Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2245817Z             {
2022-11-23T02:04:40.2246019Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2246262Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2246437Z                 'obj_weakref': None
2022-11-23T02:04:40.2246750Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2246857Z             }
2022-11-23T02:04:40.2247035Z             
2022-11-23T02:04:40.2247148Z  - 
2022-11-23T02:04:40.2247327Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2247405Z             {
2022-11-23T02:04:40.2247603Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2247760Z                 'code': None,
2022-11-23T02:04:40.2248052Z                 'obj_weakref': <weakref at 0x7fa5322a78d0; to 'Tensor' at 0x7fa51c1d4270>
2022-11-23T02:04:40.2248467Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2248573Z             }
2022-11-23T02:04:40.2248673Z             
2022-11-23T02:04:40.2248760Z  - 
2022-11-23T02:04:40.2248941Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2249043Z             {
2022-11-23T02:04:40.2249244Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2249403Z                 'code': None,
2022-11-23T02:04:40.2249692Z                 'obj_weakref': <weakref at 0x7fa51c5127f0; to 'Tensor' at 0x7fa5322ef240>
2022-11-23T02:04:40.2250037Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2250139Z             }
2022-11-23T02:04:40.2250216Z             
2022-11-23T02:04:40.2250330Z  - 
2022-11-23T02:04:40.2250518Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2250622Z             {
2022-11-23T02:04:40.2250825Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2251066Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2251221Z                 'obj_weakref': None
2022-11-23T02:04:40.2251599Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2251707Z             }
2022-11-23T02:04:40.2251807Z             
2022-11-23T02:04:40.2251927Z  - 
2022-11-23T02:04:40.2252104Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2252204Z             {
2022-11-23T02:04:40.2252377Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2252674Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2252847Z                 'obj_weakref': None
2022-11-23T02:04:40.2253151Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2253253Z             }
2022-11-23T02:04:40.2253353Z             
2022-11-23T02:04:40.2253711Z [2022-11-23 02:02:15,505] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 385
2022-11-23T02:04:40.2254221Z [2022-11-23 02:02:15,518] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ef/cefpgbqra3psgbvkhbwedppchd77huk7heb2wszy42prycaauz7b.py
2022-11-23T02:04:40.2254562Z [2022-11-23 02:02:15,518] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 385
2022-11-23T02:04:40.2254610Z 
2022-11-23T02:04:40.2254730Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2254845Z import torch
2022-11-23T02:04:40.2254956Z import random
2022-11-23T02:04:40.2255129Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2255306Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2255329Z 
2022-11-23T02:04:40.2255451Z aten = torch.ops.aten
2022-11-23T02:04:40.2255645Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2255768Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2255787Z 
2022-11-23T02:04:40.2255805Z 
2022-11-23T02:04:40.2256004Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2257016Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2257301Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2257548Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2257790Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2257947Z {
2022-11-23T02:04:40.2258194Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2258329Z     {
2022-11-23T02:04:40.2258514Z         #pragma omp for 
2022-11-23T02:04:40.2258649Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:40.2258749Z         {
2022-11-23T02:04:40.2258972Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.2259160Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.2259498Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2259614Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.2259714Z         }
2022-11-23T02:04:40.2259862Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.2259984Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:40.2260086Z         {
2022-11-23T02:04:40.2260213Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.2260340Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.2260442Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2260565Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.2260666Z         }
2022-11-23T02:04:40.2260763Z     }
2022-11-23T02:04:40.2260857Z }
2022-11-23T02:04:40.2261009Z ''')
2022-11-23T02:04:40.2261033Z 
2022-11-23T02:04:40.2261051Z 
2022-11-23T02:04:40.2261187Z async_compile.wait(globals())
2022-11-23T02:04:40.2261278Z del async_compile
2022-11-23T02:04:40.2261297Z 
2022-11-23T02:04:40.2261414Z def call(args):
2022-11-23T02:04:40.2261531Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2261644Z     args.clear()
2022-11-23T02:04:40.2261918Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2262244Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2262359Z     del arg0_1
2022-11-23T02:04:40.2262441Z     del arg1_1
2022-11-23T02:04:40.2262556Z     return (buf0, )
2022-11-23T02:04:40.2262576Z 
2022-11-23T02:04:40.2262594Z 
2022-11-23T02:04:40.2262712Z if __name__ == "__main__":
2022-11-23T02:04:40.2262879Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2263059Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2263334Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2263606Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2263774Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2263798Z 
2022-11-23T02:04:40.2263883Z ok (0.041s)
2022-11-23T02:04:40.2264364Z   test_cpu_broadcast1_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:15,525] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2264797Z [2022-11-23 02:02:15,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2265098Z [2022-11-23 02:02:15,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2265446Z [2022-11-23 02:02:15,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2265829Z [2022-11-23 02:02:15,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2266266Z [2022-11-23 02:02:15,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2266735Z [2022-11-23 02:02:15,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2267171Z [2022-11-23 02:02:15,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2267684Z [2022-11-23 02:02:15,526] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2267805Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2267945Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2268060Z               4 BINARY_ADD
2022-11-23T02:04:40.2268197Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2268316Z               8 RETURN_VALUE
2022-11-23T02:04:40.2268544Z  
2022-11-23T02:04:40.2268564Z 
2022-11-23T02:04:40.2268993Z [2022-11-23 02:02:15,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2269290Z [2022-11-23 02:02:15,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2269595Z [2022-11-23 02:02:15,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2269966Z [2022-11-23 02:02:15,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2270297Z [2022-11-23 02:02:15,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2270634Z [2022-11-23 02:02:15,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2271150Z [2022-11-23 02:02:15,530] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2271486Z [2022-11-23 02:02:15,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2271861Z [2022-11-23 02:02:15,530] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2272217Z [2022-11-23 02:02:15,532] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2272560Z [2022-11-23 02:02:15,536] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2272799Z [2022-11-23 02:02:15,537] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2272997Z  __compiled_fn_394 <eval_with_key>.2843 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2273131Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2273262Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2273518Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2273664Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2273684Z 
2022-11-23T02:04:40.2274127Z [2022-11-23 02:02:15,537] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2274274Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2274388Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2274523Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2274666Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2274795Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2274931Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2275050Z              12 RETURN_VALUE
2022-11-23T02:04:40.2275069Z 
2022-11-23T02:04:40.2275168Z  
2022-11-23T02:04:40.2275606Z [2022-11-23 02:02:15,537] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2275749Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_394)
2022-11-23T02:04:40.2275885Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2276024Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2276143Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2276280Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2276412Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2276529Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2276638Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2276793Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2276944Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2277075Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2277195Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2277329Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2277512Z              26 RETURN_VALUE
2022-11-23T02:04:40.2277532Z 
2022-11-23T02:04:40.2277605Z  
2022-11-23T02:04:40.2277872Z [2022-11-23 02:02:15,539] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2277987Z  - 
2022-11-23T02:04:40.2278164Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2278268Z             {
2022-11-23T02:04:40.2278471Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2278732Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2278888Z                 'obj_weakref': None
2022-11-23T02:04:40.2279202Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2279306Z             }
2022-11-23T02:04:40.2279405Z             
2022-11-23T02:04:40.2279513Z  - 
2022-11-23T02:04:40.2279702Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2279803Z             {
2022-11-23T02:04:40.2279990Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2280149Z                 'code': None,
2022-11-23T02:04:40.2280441Z                 'obj_weakref': <weakref at 0x7fa51c203970; to 'Tensor' at 0x7fa5321eb8d0>
2022-11-23T02:04:40.2280840Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2280946Z             }
2022-11-23T02:04:40.2281046Z             
2022-11-23T02:04:40.2281160Z  - 
2022-11-23T02:04:40.2281316Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2281416Z             {
2022-11-23T02:04:40.2281617Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2281771Z                 'code': None,
2022-11-23T02:04:40.2282064Z                 'obj_weakref': <weakref at 0x7fa51c201170; to 'Tensor' at 0x7fa53c35b9c0>
2022-11-23T02:04:40.2282420Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2282526Z             }
2022-11-23T02:04:40.2282628Z             
2022-11-23T02:04:40.2282717Z  - 
2022-11-23T02:04:40.2282905Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2283006Z             {
2022-11-23T02:04:40.2283201Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2283445Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2283622Z                 'obj_weakref': None
2022-11-23T02:04:40.2283943Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2284022Z             }
2022-11-23T02:04:40.2284122Z             
2022-11-23T02:04:40.2284235Z  - 
2022-11-23T02:04:40.2284413Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2284518Z             {
2022-11-23T02:04:40.2284714Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2284987Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2285166Z                 'obj_weakref': None
2022-11-23T02:04:40.2285470Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2285573Z             }
2022-11-23T02:04:40.2285674Z             
2022-11-23T02:04:40.2286036Z [2022-11-23 02:02:15,547] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 386
2022-11-23T02:04:40.2286527Z [2022-11-23 02:02:18,167] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/su/csu3kohdm7nnet7irvcolgkc6tt3xczwztah2y3mzz2bxpmukgoo.py
2022-11-23T02:04:40.2286895Z [2022-11-23 02:02:18,167] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 386
2022-11-23T02:04:40.2286916Z 
2022-11-23T02:04:40.2287059Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2287146Z import torch
2022-11-23T02:04:40.2287261Z import random
2022-11-23T02:04:40.2287437Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2287687Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2287708Z 
2022-11-23T02:04:40.2287828Z aten = torch.ops.aten
2022-11-23T02:04:40.2288022Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2288166Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2288189Z 
2022-11-23T02:04:40.2288207Z 
2022-11-23T02:04:40.2288381Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2288668Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2288915Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2289072Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2289222Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2289321Z {
2022-11-23T02:04:40.2289467Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2289567Z     {
2022-11-23T02:04:40.2289664Z         #pragma omp for 
2022-11-23T02:04:40.2289797Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.2289906Z         {
2022-11-23T02:04:40.2290034Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:40.2290136Z             {
2022-11-23T02:04:40.2290351Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i1);
2022-11-23T02:04:40.2290590Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T02:04:40.2290706Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2290859Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T02:04:40.2290962Z             }
2022-11-23T02:04:40.2291104Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:40.2291235Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T02:04:40.2291339Z             {
2022-11-23T02:04:40.2291464Z                 auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:40.2291570Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.2291699Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2291839Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.2291946Z             }
2022-11-23T02:04:40.2292045Z         }
2022-11-23T02:04:40.2292150Z     }
2022-11-23T02:04:40.2292223Z }
2022-11-23T02:04:40.2292359Z ''')
2022-11-23T02:04:40.2292378Z 
2022-11-23T02:04:40.2292397Z 
2022-11-23T02:04:40.2292539Z async_compile.wait(globals())
2022-11-23T02:04:40.2292655Z del async_compile
2022-11-23T02:04:40.2292675Z 
2022-11-23T02:04:40.2292790Z def call(args):
2022-11-23T02:04:40.2292908Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2293019Z     args.clear()
2022-11-23T02:04:40.2293314Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2293524Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2293634Z     del arg0_1
2022-11-23T02:04:40.2293743Z     del arg1_1
2022-11-23T02:04:40.2293859Z     return (buf0, )
2022-11-23T02:04:40.2293879Z 
2022-11-23T02:04:40.2293897Z 
2022-11-23T02:04:40.2294015Z if __name__ == "__main__":
2022-11-23T02:04:40.2294189Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2294368Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2294647Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2294919Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2295092Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2295112Z 
2022-11-23T02:04:40.2295218Z ok (2.649s)
2022-11-23T02:04:40.2295697Z   test_cpu_broadcast1_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:18,174] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2296666Z [2022-11-23 02:02:18,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2297214Z [2022-11-23 02:02:18,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2297993Z [2022-11-23 02:02:18,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2298388Z [2022-11-23 02:02:18,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2298826Z [2022-11-23 02:02:18,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2299271Z [2022-11-23 02:02:18,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2299710Z [2022-11-23 02:02:18,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2300221Z [2022-11-23 02:02:18,175] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2300365Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2300503Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2300620Z               4 BINARY_ADD
2022-11-23T02:04:40.2300835Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2300962Z               8 RETURN_VALUE
2022-11-23T02:04:40.2301036Z  
2022-11-23T02:04:40.2301082Z 
2022-11-23T02:04:40.2301493Z [2022-11-23 02:02:18,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2301780Z [2022-11-23 02:02:18,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2302108Z [2022-11-23 02:02:18,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2302479Z [2022-11-23 02:02:18,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2302815Z [2022-11-23 02:02:18,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2303155Z [2022-11-23 02:02:18,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2303677Z [2022-11-23 02:02:18,178] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2304013Z [2022-11-23 02:02:18,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2304337Z [2022-11-23 02:02:18,178] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2304682Z [2022-11-23 02:02:18,180] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2305027Z [2022-11-23 02:02:18,185] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2305297Z [2022-11-23 02:02:18,186] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2305489Z  __compiled_fn_395 <eval_with_key>.2849 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2305632Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2305765Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2306018Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2306160Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2306180Z 
2022-11-23T02:04:40.2306600Z [2022-11-23 02:02:18,186] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2306746Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2306882Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2307017Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2307220Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2307351Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2307486Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2307604Z              12 RETURN_VALUE
2022-11-23T02:04:40.2307628Z 
2022-11-23T02:04:40.2307702Z  
2022-11-23T02:04:40.2308138Z [2022-11-23 02:02:18,186] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2308303Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_395)
2022-11-23T02:04:40.2308442Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2308582Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2308705Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2308839Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2308948Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2309066Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2309208Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2309361Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2309517Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2309702Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2309827Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2309935Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2310051Z              26 RETURN_VALUE
2022-11-23T02:04:40.2310071Z 
2022-11-23T02:04:40.2310168Z  
2022-11-23T02:04:40.2310433Z [2022-11-23 02:02:18,188] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2310545Z  - 
2022-11-23T02:04:40.2310720Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2310820Z             {
2022-11-23T02:04:40.2311023Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2311262Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2311440Z                 'obj_weakref': None
2022-11-23T02:04:40.2311752Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2311854Z             }
2022-11-23T02:04:40.2311957Z             
2022-11-23T02:04:40.2312072Z  - 
2022-11-23T02:04:40.2312259Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2312337Z             {
2022-11-23T02:04:40.2312542Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2312703Z                 'code': None,
2022-11-23T02:04:40.2312992Z                 'obj_weakref': <weakref at 0x7fa51c274040; to 'Tensor' at 0x7fa524641210>
2022-11-23T02:04:40.2313342Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2313443Z             }
2022-11-23T02:04:40.2313538Z             
2022-11-23T02:04:40.2313625Z  - 
2022-11-23T02:04:40.2313803Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2313907Z             {
2022-11-23T02:04:40.2314113Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2314268Z                 'code': None,
2022-11-23T02:04:40.2314558Z                 'obj_weakref': <weakref at 0x7fa51c2758f0; to 'Tensor' at 0x7fa62380dad0>
2022-11-23T02:04:40.2314909Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2314989Z             }
2022-11-23T02:04:40.2315091Z             
2022-11-23T02:04:40.2315203Z  - 
2022-11-23T02:04:40.2315391Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2315490Z             {
2022-11-23T02:04:40.2315682Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2315920Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2316074Z                 'obj_weakref': None
2022-11-23T02:04:40.2316391Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2316555Z             }
2022-11-23T02:04:40.2316654Z             
2022-11-23T02:04:40.2316766Z  - 
2022-11-23T02:04:40.2316944Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2317044Z             {
2022-11-23T02:04:40.2317215Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2317514Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2317693Z                 'obj_weakref': None
2022-11-23T02:04:40.2318002Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2318102Z             }
2022-11-23T02:04:40.2318206Z             
2022-11-23T02:04:40.2318571Z [2022-11-23 02:02:18,196] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 387
2022-11-23T02:04:40.2319040Z [2022-11-23 02:02:20,759] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6l/c6l2vba2rbuwpwdn7ljlgdwlifsfihdxlfs4smbcyt3men4754cn.py
2022-11-23T02:04:40.2319410Z [2022-11-23 02:02:20,760] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 387
2022-11-23T02:04:40.2319431Z 
2022-11-23T02:04:40.2319571Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2319679Z import torch
2022-11-23T02:04:40.2319841Z import random
2022-11-23T02:04:40.2320015Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2320190Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2320210Z 
2022-11-23T02:04:40.2320333Z aten = torch.ops.aten
2022-11-23T02:04:40.2320505Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2320644Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2320664Z 
2022-11-23T02:04:40.2320682Z 
2022-11-23T02:04:40.2320883Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2321167Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2321343Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2321503Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2321653Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2321752Z {
2022-11-23T02:04:40.2321878Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2321980Z     {
2022-11-23T02:04:40.2322101Z         #pragma omp for 
2022-11-23T02:04:40.2322221Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:40.2322322Z         {
2022-11-23T02:04:40.2322547Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.2322734Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T02:04:40.2322840Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2322976Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.2323080Z         }
2022-11-23T02:04:40.2323226Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.2323354Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:40.2323460Z         {
2022-11-23T02:04:40.2323587Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.2323690Z             auto tmp1 = in_ptr1[0];
2022-11-23T02:04:40.2323818Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2323937Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.2324039Z         }
2022-11-23T02:04:40.2324138Z     }
2022-11-23T02:04:40.2324236Z }
2022-11-23T02:04:40.2324336Z ''')
2022-11-23T02:04:40.2324382Z 
2022-11-23T02:04:40.2324400Z 
2022-11-23T02:04:40.2324513Z async_compile.wait(globals())
2022-11-23T02:04:40.2324630Z del async_compile
2022-11-23T02:04:40.2324649Z 
2022-11-23T02:04:40.2324761Z def call(args):
2022-11-23T02:04:40.2324878Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2324987Z     args.clear()
2022-11-23T02:04:40.2325259Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2325490Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2325686Z     del arg0_1
2022-11-23T02:04:40.2325941Z     del arg1_1
2022-11-23T02:04:40.2326053Z     return (buf0, )
2022-11-23T02:04:40.2326073Z 
2022-11-23T02:04:40.2326091Z 
2022-11-23T02:04:40.2326208Z if __name__ == "__main__":
2022-11-23T02:04:40.2326381Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2326561Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2326844Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2327108Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2327253Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2327273Z 
2022-11-23T02:04:40.2327382Z ok (2.592s)
2022-11-23T02:04:40.2327856Z   test_cpu_broadcast1_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:20,767] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2328294Z [2022-11-23 02:02:20,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2328607Z [2022-11-23 02:02:20,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2329008Z [2022-11-23 02:02:20,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2329397Z [2022-11-23 02:02:20,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2329829Z [2022-11-23 02:02:20,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2330297Z [2022-11-23 02:02:20,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2330734Z [2022-11-23 02:02:20,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2331227Z [2022-11-23 02:02:20,768] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2331371Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2331512Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2331634Z               4 BINARY_ADD
2022-11-23T02:04:40.2331769Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2331885Z               8 RETURN_VALUE
2022-11-23T02:04:40.2331986Z  
2022-11-23T02:04:40.2332006Z 
2022-11-23T02:04:40.2332435Z [2022-11-23 02:02:20,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2332709Z [2022-11-23 02:02:20,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2333041Z [2022-11-23 02:02:20,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2333419Z [2022-11-23 02:02:20,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2333752Z [2022-11-23 02:02:20,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2334090Z [2022-11-23 02:02:20,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2334608Z [2022-11-23 02:02:20,773] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2334947Z [2022-11-23 02:02:20,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2335278Z [2022-11-23 02:02:20,774] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2335698Z [2022-11-23 02:02:20,775] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2336021Z [2022-11-23 02:02:20,780] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2337196Z [2022-11-23 02:02:20,780] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2337513Z  __compiled_fn_396 <eval_with_key>.2855 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2337721Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2337930Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2338356Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2338506Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2338531Z 
2022-11-23T02:04:40.2338980Z [2022-11-23 02:02:20,781] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2339119Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2339240Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2339368Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2339509Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2339799Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2339939Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2340054Z              12 RETURN_VALUE
2022-11-23T02:04:40.2340073Z 
2022-11-23T02:04:40.2340170Z  
2022-11-23T02:04:40.2340584Z [2022-11-23 02:02:20,781] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2340741Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_396)
2022-11-23T02:04:40.2340873Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2341010Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2341124Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2341263Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2341393Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2341487Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2341620Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2341774Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2341918Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2342049Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2342162Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2342289Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2342380Z              26 RETURN_VALUE
2022-11-23T02:04:40.2342417Z 
2022-11-23T02:04:40.2342491Z  
2022-11-23T02:04:40.2342748Z [2022-11-23 02:02:20,783] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2342854Z  - 
2022-11-23T02:04:40.2343021Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2343121Z             {
2022-11-23T02:04:40.2343320Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2343574Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2343725Z                 'obj_weakref': None
2022-11-23T02:04:40.2344034Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2344133Z             }
2022-11-23T02:04:40.2344230Z             
2022-11-23T02:04:40.2344335Z  - 
2022-11-23T02:04:40.2344513Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2344609Z             {
2022-11-23T02:04:40.2344790Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2344940Z                 'code': None,
2022-11-23T02:04:40.2345227Z                 'obj_weakref': <weakref at 0x7fa51c2d9620; to 'Tensor' at 0x7fa53227e1b0>
2022-11-23T02:04:40.2345569Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2345758Z             }
2022-11-23T02:04:40.2345854Z             
2022-11-23T02:04:40.2345962Z  - 
2022-11-23T02:04:40.2346121Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2346214Z             {
2022-11-23T02:04:40.2346412Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2346568Z                 'code': None,
2022-11-23T02:04:40.2346856Z                 'obj_weakref': <weakref at 0x7fa51c2d8c70; to 'Tensor' at 0x7fa524641210>
2022-11-23T02:04:40.2347200Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2347299Z             }
2022-11-23T02:04:40.2347375Z             
2022-11-23T02:04:40.2347482Z  - 
2022-11-23T02:04:40.2347668Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2347765Z             {
2022-11-23T02:04:40.2347956Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2348188Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2348363Z                 'obj_weakref': None
2022-11-23T02:04:40.2348656Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2348755Z             }
2022-11-23T02:04:40.2348852Z             
2022-11-23T02:04:40.2348956Z  - 
2022-11-23T02:04:40.2349178Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2349280Z             {
2022-11-23T02:04:40.2349457Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2349748Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2349922Z                 'obj_weakref': None
2022-11-23T02:04:40.2350227Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2350329Z             }
2022-11-23T02:04:40.2350431Z             
2022-11-23T02:04:40.2350788Z [2022-11-23 02:02:20,792] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 388
2022-11-23T02:04:40.2351294Z [2022-11-23 02:02:23,388] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rx/crx5ekhzsefvldpy7tdhhwtedkegmpgsny6mjgnu66hbblokvqaq.py
2022-11-23T02:04:40.2351635Z [2022-11-23 02:02:23,388] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 388
2022-11-23T02:04:40.2351678Z 
2022-11-23T02:04:40.2351796Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2351906Z import torch
2022-11-23T02:04:40.2352020Z import random
2022-11-23T02:04:40.2352188Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2352365Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2352384Z 
2022-11-23T02:04:40.2352505Z aten = torch.ops.aten
2022-11-23T02:04:40.2352699Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2352814Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2352833Z 
2022-11-23T02:04:40.2352875Z 
2022-11-23T02:04:40.2353049Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2353336Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2353513Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2353675Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2353821Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2353921Z {
2022-11-23T02:04:40.2354069Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2354145Z     {
2022-11-23T02:04:40.2354264Z         #pragma omp for 
2022-11-23T02:04:40.2354389Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.2354489Z         {
2022-11-23T02:04:40.2354619Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:40.2354723Z             {
2022-11-23T02:04:40.2354945Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i1);
2022-11-23T02:04:40.2355125Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (10*i0));
2022-11-23T02:04:40.2355327Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2355481Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T02:04:40.2355587Z             }
2022-11-23T02:04:40.2355726Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:40.2355856Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T02:04:40.2355954Z             {
2022-11-23T02:04:40.2356060Z                 auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:40.2356204Z                 auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T02:04:40.2356334Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2356475Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.2356576Z             }
2022-11-23T02:04:40.2356682Z         }
2022-11-23T02:04:40.2356784Z     }
2022-11-23T02:04:40.2356856Z }
2022-11-23T02:04:40.2356988Z ''')
2022-11-23T02:04:40.2357008Z 
2022-11-23T02:04:40.2357026Z 
2022-11-23T02:04:40.2357167Z async_compile.wait(globals())
2022-11-23T02:04:40.2357281Z del async_compile
2022-11-23T02:04:40.2357303Z 
2022-11-23T02:04:40.2357417Z def call(args):
2022-11-23T02:04:40.2357538Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2357650Z     args.clear()
2022-11-23T02:04:40.2357906Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2358229Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2358346Z     del arg0_1
2022-11-23T02:04:40.2358453Z     del arg1_1
2022-11-23T02:04:40.2358564Z     return (buf0, )
2022-11-23T02:04:40.2358584Z 
2022-11-23T02:04:40.2358603Z 
2022-11-23T02:04:40.2358725Z if __name__ == "__main__":
2022-11-23T02:04:40.2358892Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2359073Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2359324Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2359600Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2359773Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2359793Z 
2022-11-23T02:04:40.2359896Z ok (2.628s)
2022-11-23T02:04:40.2360369Z   test_cpu_broadcast1_double (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:23,395] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2360801Z [2022-11-23 02:02:23,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2361105Z [2022-11-23 02:02:23,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2361453Z [2022-11-23 02:02:23,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2361830Z [2022-11-23 02:02:23,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2362243Z [2022-11-23 02:02:23,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2362721Z [2022-11-23 02:02:23,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2363157Z [2022-11-23 02:02:23,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2363673Z [2022-11-23 02:02:23,396] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2363816Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2363955Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2364074Z               4 BINARY_ADD
2022-11-23T02:04:40.2364209Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2364396Z               8 RETURN_VALUE
2022-11-23T02:04:40.2364469Z  
2022-11-23T02:04:40.2364489Z 
2022-11-23T02:04:40.2364915Z [2022-11-23 02:02:23,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2365219Z [2022-11-23 02:02:23,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2365547Z [2022-11-23 02:02:23,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2365922Z [2022-11-23 02:02:23,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2366254Z [2022-11-23 02:02:23,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2366590Z [2022-11-23 02:02:23,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2367115Z [2022-11-23 02:02:23,399] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2367507Z [2022-11-23 02:02:23,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2367811Z [2022-11-23 02:02:23,399] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2368158Z [2022-11-23 02:02:23,401] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2368505Z [2022-11-23 02:02:23,405] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2368769Z [2022-11-23 02:02:23,406] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2368962Z  __compiled_fn_397 <eval_with_key>.2861 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2369101Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2369237Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2369488Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2369608Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2369628Z 
2022-11-23T02:04:40.2370071Z [2022-11-23 02:02:23,406] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2370218Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2370356Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2370493Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2370638Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2370773Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2370913Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2371007Z              12 RETURN_VALUE
2022-11-23T02:04:40.2371026Z 
2022-11-23T02:04:40.2371128Z  
2022-11-23T02:04:40.2371567Z [2022-11-23 02:02:23,406] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2371738Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_397)
2022-11-23T02:04:40.2371880Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2372017Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2372136Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2372272Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2372382Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2372504Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2372639Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2372794Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2372944Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2373077Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2373196Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2373383Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2373504Z              26 RETURN_VALUE
2022-11-23T02:04:40.2373524Z 
2022-11-23T02:04:40.2373623Z  
2022-11-23T02:04:40.2373890Z [2022-11-23 02:02:23,408] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2374006Z  - 
2022-11-23T02:04:40.2374179Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2374281Z             {
2022-11-23T02:04:40.2374459Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2374723Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2374895Z                 'obj_weakref': None
2022-11-23T02:04:40.2375206Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2375305Z             }
2022-11-23T02:04:40.2375405Z             
2022-11-23T02:04:40.2375516Z  - 
2022-11-23T02:04:40.2375674Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2375782Z             {
2022-11-23T02:04:40.2375983Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2376986Z                 'code': None,
2022-11-23T02:04:40.2377385Z                 'obj_weakref': <weakref at 0x7fa51c4da070; to 'Tensor' at 0x7fa51c4c53f0>
2022-11-23T02:04:40.2377873Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2377979Z             }
2022-11-23T02:04:40.2378055Z             
2022-11-23T02:04:40.2378166Z  - 
2022-11-23T02:04:40.2378344Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2378444Z             {
2022-11-23T02:04:40.2378646Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2378799Z                 'code': None,
2022-11-23T02:04:40.2379083Z                 'obj_weakref': <weakref at 0x7fa51c275620; to 'Tensor' at 0x7fa51c513100>
2022-11-23T02:04:40.2379406Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2379512Z             }
2022-11-23T02:04:40.2379607Z             
2022-11-23T02:04:40.2379713Z  - 
2022-11-23T02:04:40.2379898Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2379994Z             {
2022-11-23T02:04:40.2380187Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2380402Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2380568Z                 'obj_weakref': None
2022-11-23T02:04:40.2380876Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2380975Z             }
2022-11-23T02:04:40.2381077Z             
2022-11-23T02:04:40.2381181Z  - 
2022-11-23T02:04:40.2381352Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2381428Z             {
2022-11-23T02:04:40.2381620Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2381920Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2382092Z                 'obj_weakref': None
2022-11-23T02:04:40.2382394Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2382490Z             }
2022-11-23T02:04:40.2382590Z             
2022-11-23T02:04:40.2382927Z [2022-11-23 02:02:23,416] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 389
2022-11-23T02:04:40.2383411Z [2022-11-23 02:02:25,997] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/44/c44usix3jqby7kjmuy6qzz65llp7egf7fvwfhdwh5pzavt73f7ju.py
2022-11-23T02:04:40.2383769Z [2022-11-23 02:02:25,997] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 389
2022-11-23T02:04:40.2383789Z 
2022-11-23T02:04:40.2383926Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2384033Z import torch
2022-11-23T02:04:40.2384138Z import random
2022-11-23T02:04:40.2384303Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2384574Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2384594Z 
2022-11-23T02:04:40.2384691Z aten = torch.ops.aten
2022-11-23T02:04:40.2384881Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2385019Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2385038Z 
2022-11-23T02:04:40.2385057Z 
2022-11-23T02:04:40.2385250Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2385531Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2385702Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2385855Z                        const double* __restrict__ in_ptr1,
2022-11-23T02:04:40.2385997Z                        double* __restrict__ out_ptr0)
2022-11-23T02:04:40.2386070Z {
2022-11-23T02:04:40.2386214Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2386312Z     {
2022-11-23T02:04:40.2386443Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.2386567Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.2386665Z         {
2022-11-23T02:04:40.2386789Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.2386866Z             {
2022-11-23T02:04:40.2386963Z                 {
2022-11-23T02:04:40.2387140Z                     {
2022-11-23T02:04:40.2387289Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:40.2387437Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T02:04:40.2387595Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T02:04:40.2387730Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:40.2387851Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.2387955Z                     }
2022-11-23T02:04:40.2388052Z                 }
2022-11-23T02:04:40.2388145Z             }
2022-11-23T02:04:40.2388239Z         }
2022-11-23T02:04:40.2388335Z     }
2022-11-23T02:04:40.2388425Z }
2022-11-23T02:04:40.2388539Z ''')
2022-11-23T02:04:40.2388558Z 
2022-11-23T02:04:40.2388577Z 
2022-11-23T02:04:40.2388708Z async_compile.wait(globals())
2022-11-23T02:04:40.2388863Z del async_compile
2022-11-23T02:04:40.2388883Z 
2022-11-23T02:04:40.2388994Z def call(args):
2022-11-23T02:04:40.2389112Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2389220Z     args.clear()
2022-11-23T02:04:40.2389499Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.2389708Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2389808Z     del arg0_1
2022-11-23T02:04:40.2389908Z     del arg1_1
2022-11-23T02:04:40.2390015Z     return (buf0, )
2022-11-23T02:04:40.2390035Z 
2022-11-23T02:04:40.2390053Z 
2022-11-23T02:04:40.2390167Z if __name__ == "__main__":
2022-11-23T02:04:40.2390329Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2390502Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2390777Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2391029Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.2391192Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2391219Z 
2022-11-23T02:04:40.2391320Z ok (2.609s)
2022-11-23T02:04:40.2391777Z   test_cpu_broadcast1_int (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:26,004] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2392213Z [2022-11-23 02:02:26,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2392518Z [2022-11-23 02:02:26,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2392858Z [2022-11-23 02:02:26,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2393335Z [2022-11-23 02:02:26,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2393766Z [2022-11-23 02:02:26,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2394213Z [2022-11-23 02:02:26,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2394645Z [2022-11-23 02:02:26,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2395153Z [2022-11-23 02:02:26,005] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2395288Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2395421Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2395533Z               4 BINARY_ADD
2022-11-23T02:04:40.2395664Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2395774Z               8 RETURN_VALUE
2022-11-23T02:04:40.2395850Z  
2022-11-23T02:04:40.2395884Z 
2022-11-23T02:04:40.2396339Z [2022-11-23 02:02:26,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2396633Z [2022-11-23 02:02:26,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2396952Z [2022-11-23 02:02:26,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2397319Z [2022-11-23 02:02:26,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2397649Z [2022-11-23 02:02:26,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2397984Z [2022-11-23 02:02:26,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2398500Z [2022-11-23 02:02:26,008] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2398833Z [2022-11-23 02:02:26,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2399152Z [2022-11-23 02:02:26,008] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2399481Z [2022-11-23 02:02:26,010] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2399813Z [2022-11-23 02:02:26,014] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2400072Z [2022-11-23 02:02:26,015] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2400268Z  __compiled_fn_398 <eval_with_key>.2867 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2400398Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2400525Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2400771Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2400913Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2400933Z 
2022-11-23T02:04:40.2401350Z [2022-11-23 02:02:26,016] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2401487Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2401618Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2401743Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2401883Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2402008Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2402137Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2402311Z              12 RETURN_VALUE
2022-11-23T02:04:40.2402331Z 
2022-11-23T02:04:40.2402405Z  
2022-11-23T02:04:40.2402845Z [2022-11-23 02:02:26,016] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2403004Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_398)
2022-11-23T02:04:40.2403136Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2403268Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2403382Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2403510Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2403619Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2403732Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2403860Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2404006Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2404153Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2404286Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2404460Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2404585Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2404728Z              26 RETURN_VALUE
2022-11-23T02:04:40.2404749Z 
2022-11-23T02:04:40.2404845Z  
2022-11-23T02:04:40.2405102Z [2022-11-23 02:02:26,017] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2405211Z  - 
2022-11-23T02:04:40.2405381Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2405478Z             {
2022-11-23T02:04:40.2405674Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2405913Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2406081Z                 'obj_weakref': None
2022-11-23T02:04:40.2406387Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2406493Z             }
2022-11-23T02:04:40.2406591Z             
2022-11-23T02:04:40.2406699Z  - 
2022-11-23T02:04:40.2406940Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2407021Z             {
2022-11-23T02:04:40.2407220Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2407376Z                 'code': None,
2022-11-23T02:04:40.2407664Z                 'obj_weakref': <weakref at 0x7fa51c2025c0; to 'Tensor' at 0x7fa51c513100>
2022-11-23T02:04:40.2408004Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2408100Z             }
2022-11-23T02:04:40.2408198Z             
2022-11-23T02:04:40.2408285Z  - 
2022-11-23T02:04:40.2408460Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2408556Z             {
2022-11-23T02:04:40.2408754Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2408911Z                 'code': None,
2022-11-23T02:04:40.2409196Z                 'obj_weakref': <weakref at 0x7fa51c201bc0; to 'Tensor' at 0x7fa5500c4ae0>
2022-11-23T02:04:40.2409542Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2409619Z             }
2022-11-23T02:04:40.2409715Z             
2022-11-23T02:04:40.2409824Z  - 
2022-11-23T02:04:40.2410009Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2410105Z             {
2022-11-23T02:04:40.2410295Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2410528Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2410679Z                 'obj_weakref': None
2022-11-23T02:04:40.2410984Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2411083Z             }
2022-11-23T02:04:40.2411179Z             
2022-11-23T02:04:40.2411283Z  - 
2022-11-23T02:04:40.2411454Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2411619Z             {
2022-11-23T02:04:40.2411793Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2412087Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2412255Z                 'obj_weakref': None
2022-11-23T02:04:40.2412557Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2412657Z             }
2022-11-23T02:04:40.2412752Z             
2022-11-23T02:04:40.2413104Z [2022-11-23 02:02:26,026] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 390
2022-11-23T02:04:40.2413575Z [2022-11-23 02:02:28,643] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u7/cu73eoq5gfocopqefsmkotzavrbwu4llrh66kvm3kyjtd7v6lroq.py
2022-11-23T02:04:40.2413943Z [2022-11-23 02:02:28,644] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 390
2022-11-23T02:04:40.2413963Z 
2022-11-23T02:04:40.2414105Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2414210Z import torch
2022-11-23T02:04:40.2414315Z import random
2022-11-23T02:04:40.2414481Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2414654Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2414794Z 
2022-11-23T02:04:40.2414924Z aten = torch.ops.aten
2022-11-23T02:04:40.2415093Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2415229Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2415248Z 
2022-11-23T02:04:40.2415267Z 
2022-11-23T02:04:40.2415459Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2415739Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2415912Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2416529Z                        const int* __restrict__ in_ptr1,
2022-11-23T02:04:40.2416777Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2416936Z {
2022-11-23T02:04:40.2417155Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2417306Z     {
2022-11-23T02:04:40.2417490Z         #pragma omp for 
2022-11-23T02:04:40.2417695Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.2417842Z         {
2022-11-23T02:04:40.2418003Z             {
2022-11-23T02:04:40.2418163Z                 {
2022-11-23T02:04:40.2418286Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.2418420Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.2418574Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T02:04:40.2418705Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:40.2418830Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:40.2418925Z                 }
2022-11-23T02:04:40.2419018Z             }
2022-11-23T02:04:40.2419096Z         }
2022-11-23T02:04:40.2419191Z     }
2022-11-23T02:04:40.2419282Z }
2022-11-23T02:04:40.2419421Z ''')
2022-11-23T02:04:40.2419445Z 
2022-11-23T02:04:40.2419463Z 
2022-11-23T02:04:40.2419599Z async_compile.wait(globals())
2022-11-23T02:04:40.2419708Z del async_compile
2022-11-23T02:04:40.2419728Z 
2022-11-23T02:04:40.2419835Z def call(args):
2022-11-23T02:04:40.2419929Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2420043Z     args.clear()
2022-11-23T02:04:40.2420318Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2420548Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2420652Z     del arg0_1
2022-11-23T02:04:40.2420753Z     del arg1_1
2022-11-23T02:04:40.2420862Z     return (buf0, )
2022-11-23T02:04:40.2420881Z 
2022-11-23T02:04:40.2420900Z 
2022-11-23T02:04:40.2420992Z if __name__ == "__main__":
2022-11-23T02:04:40.2421181Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2421334Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2421602Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2422054Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:40.2422244Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2422256Z 
2022-11-23T02:04:40.2422361Z ok (2.646s)
2022-11-23T02:04:40.2422825Z   test_cpu_broadcast1_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:28,651] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2423223Z [2022-11-23 02:02:28,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2423501Z [2022-11-23 02:02:28,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2423841Z [2022-11-23 02:02:28,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2424214Z [2022-11-23 02:02:28,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2424643Z [2022-11-23 02:02:28,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2425177Z [2022-11-23 02:02:28,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2425617Z [2022-11-23 02:02:28,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2426125Z [2022-11-23 02:02:28,652] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2426262Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2426394Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2426490Z               4 BINARY_ADD
2022-11-23T02:04:40.2426620Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2426734Z               8 RETURN_VALUE
2022-11-23T02:04:40.2426828Z  
2022-11-23T02:04:40.2426848Z 
2022-11-23T02:04:40.2427272Z [2022-11-23 02:02:28,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2427565Z [2022-11-23 02:02:28,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2427888Z [2022-11-23 02:02:28,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2428254Z [2022-11-23 02:02:28,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2428561Z [2022-11-23 02:02:28,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2428900Z [2022-11-23 02:02:28,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2429418Z [2022-11-23 02:02:28,655] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2429755Z [2022-11-23 02:02:28,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2430076Z [2022-11-23 02:02:28,655] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2430420Z [2022-11-23 02:02:28,657] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2430757Z [2022-11-23 02:02:28,663] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2431016Z [2022-11-23 02:02:28,663] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2431206Z  __compiled_fn_399 <eval_with_key>.2873 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2431418Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2431527Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2431773Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2431916Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2431936Z 
2022-11-23T02:04:40.2432372Z [2022-11-23 02:02:28,664] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2432511Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2432644Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2432771Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2432887Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2433015Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2433143Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2433259Z              12 RETURN_VALUE
2022-11-23T02:04:40.2433282Z 
2022-11-23T02:04:40.2433375Z  
2022-11-23T02:04:40.2433804Z [2022-11-23 02:02:28,664] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2434012Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_399)
2022-11-23T02:04:40.2434152Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2434263Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2434379Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2434509Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2434644Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2434757Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2434885Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2435035Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2435163Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2435299Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2435413Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2435539Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2435650Z              26 RETURN_VALUE
2022-11-23T02:04:40.2435670Z 
2022-11-23T02:04:40.2435767Z  
2022-11-23T02:04:40.2436029Z [2022-11-23 02:02:28,665] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2436118Z  - 
2022-11-23T02:04:40.2436284Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2436382Z             {
2022-11-23T02:04:40.2436578Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2436838Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2437009Z                 'obj_weakref': None
2022-11-23T02:04:40.2437318Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2437415Z             }
2022-11-23T02:04:40.2437492Z             
2022-11-23T02:04:40.2437600Z  - 
2022-11-23T02:04:40.2437777Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2437874Z             {
2022-11-23T02:04:40.2438076Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2438230Z                 'code': None,
2022-11-23T02:04:40.2438505Z                 'obj_weakref': <weakref at 0x7fa51c4d8e00; to 'Tensor' at 0x7fa51c1d4270>
2022-11-23T02:04:40.2438852Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2438950Z             }
2022-11-23T02:04:40.2439048Z             
2022-11-23T02:04:40.2439158Z  - 
2022-11-23T02:04:40.2439332Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2439428Z             {
2022-11-23T02:04:40.2439606Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2439759Z                 'code': None,
2022-11-23T02:04:40.2440049Z                 'obj_weakref': <weakref at 0x7fa51c203b50; to 'Tensor' at 0x7fa51c4c53f0>
2022-11-23T02:04:40.2440489Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2440569Z             }
2022-11-23T02:04:40.2440703Z             
2022-11-23T02:04:40.2440775Z  - 
2022-11-23T02:04:40.2440943Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2441041Z             {
2022-11-23T02:04:40.2441235Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2441470Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2441637Z                 'obj_weakref': None
2022-11-23T02:04:40.2441947Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2442044Z             }
2022-11-23T02:04:40.2442143Z             
2022-11-23T02:04:40.2442229Z  - 
2022-11-23T02:04:40.2442399Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2442500Z             {
2022-11-23T02:04:40.2442689Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2442991Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2443163Z                 'obj_weakref': None
2022-11-23T02:04:40.2443525Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2443609Z             }
2022-11-23T02:04:40.2443704Z             
2022-11-23T02:04:40.2444061Z [2022-11-23 02:02:28,675] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 391
2022-11-23T02:04:40.2444549Z [2022-11-23 02:02:31,229] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sl/csl6p2a5yoqxfpty423kt37rg3ctwhnhtguj3mhq54pp3meebfhn.py
2022-11-23T02:04:40.2444910Z [2022-11-23 02:02:31,229] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 391
2022-11-23T02:04:40.2444931Z 
2022-11-23T02:04:40.2445070Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2445181Z import torch
2022-11-23T02:04:40.2445286Z import random
2022-11-23T02:04:40.2445432Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2445601Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2445620Z 
2022-11-23T02:04:40.2445740Z aten = torch.ops.aten
2022-11-23T02:04:40.2445930Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2446061Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2446080Z 
2022-11-23T02:04:40.2446098Z 
2022-11-23T02:04:40.2446291Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2446571Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2446771Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2446876Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2447017Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2447134Z {
2022-11-23T02:04:40.2447292Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2447356Z     {
2022-11-23T02:04:40.2447487Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.2447608Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.2447685Z         {
2022-11-23T02:04:40.2447812Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.2447909Z             {
2022-11-23T02:04:40.2448008Z                 {
2022-11-23T02:04:40.2448110Z                     {
2022-11-23T02:04:40.2448251Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:40.2448382Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T02:04:40.2448519Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2448658Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.2448759Z                     }
2022-11-23T02:04:40.2448859Z                 }
2022-11-23T02:04:40.2448956Z             }
2022-11-23T02:04:40.2449052Z         }
2022-11-23T02:04:40.2449128Z     }
2022-11-23T02:04:40.2449314Z }
2022-11-23T02:04:40.2449437Z ''')
2022-11-23T02:04:40.2449457Z 
2022-11-23T02:04:40.2449475Z 
2022-11-23T02:04:40.2449608Z async_compile.wait(globals())
2022-11-23T02:04:40.2449717Z del async_compile
2022-11-23T02:04:40.2449736Z 
2022-11-23T02:04:40.2449844Z def call(args):
2022-11-23T02:04:40.2449960Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2450051Z     args.clear()
2022-11-23T02:04:40.2450330Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2450557Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2450661Z     del arg0_1
2022-11-23T02:04:40.2450761Z     del arg1_1
2022-11-23T02:04:40.2450869Z     return (buf0, )
2022-11-23T02:04:40.2450888Z 
2022-11-23T02:04:40.2450906Z 
2022-11-23T02:04:40.2451022Z if __name__ == "__main__":
2022-11-23T02:04:40.2451183Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2451338Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2451614Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2451889Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2452110Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2452131Z 
2022-11-23T02:04:40.2452236Z ok (2.585s)
2022-11-23T02:04:40.2452704Z   test_cpu_broadcast1_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:31,236] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2453127Z [2022-11-23 02:02:31,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2453427Z [2022-11-23 02:02:31,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2453770Z [2022-11-23 02:02:31,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2454130Z [2022-11-23 02:02:31,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2454562Z [2022-11-23 02:02:31,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2455032Z [2022-11-23 02:02:31,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2455466Z [2022-11-23 02:02:31,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2455969Z [2022-11-23 02:02:31,238] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2456541Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2456774Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2456952Z               4 BINARY_ADD
2022-11-23T02:04:40.2457157Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2457314Z               8 RETURN_VALUE
2022-11-23T02:04:40.2457462Z  
2022-11-23T02:04:40.2457502Z 
2022-11-23T02:04:40.2458223Z [2022-11-23 02:02:31,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2458524Z [2022-11-23 02:02:31,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2458847Z [2022-11-23 02:02:31,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2459213Z [2022-11-23 02:02:31,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2459543Z [2022-11-23 02:02:31,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2460058Z [2022-11-23 02:02:31,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2460580Z [2022-11-23 02:02:31,241] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2460892Z [2022-11-23 02:02:31,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2461209Z [2022-11-23 02:02:31,241] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2461548Z [2022-11-23 02:02:31,242] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2461884Z [2022-11-23 02:02:31,248] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2462144Z [2022-11-23 02:02:31,249] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2462335Z  __compiled_fn_400 <eval_with_key>.2879 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2462467Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2462597Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2462901Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2463047Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2463067Z 
2022-11-23T02:04:40.2463505Z [2022-11-23 02:02:31,249] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2463640Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2463771Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2463898Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2464033Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2464161Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2464276Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2464388Z              12 RETURN_VALUE
2022-11-23T02:04:40.2464409Z 
2022-11-23T02:04:40.2464566Z  
2022-11-23T02:04:40.2465002Z [2022-11-23 02:02:31,250] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2465159Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_400)
2022-11-23T02:04:40.2465290Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2465424Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2465539Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2465648Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2465779Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2465891Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2466018Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2466165Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2466316Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2466442Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2466536Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2466666Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2466777Z              26 RETURN_VALUE
2022-11-23T02:04:40.2466797Z 
2022-11-23T02:04:40.2466888Z  
2022-11-23T02:04:40.2467146Z [2022-11-23 02:02:31,251] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2467255Z  - 
2022-11-23T02:04:40.2467422Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2467501Z             {
2022-11-23T02:04:40.2467697Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2467954Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2468123Z                 'obj_weakref': None
2022-11-23T02:04:40.2468428Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2468586Z             }
2022-11-23T02:04:40.2468683Z             
2022-11-23T02:04:40.2468772Z  - 
2022-11-23T02:04:40.2468948Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2469044Z             {
2022-11-23T02:04:40.2469247Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2469399Z                 'code': None,
2022-11-23T02:04:40.2469687Z                 'obj_weakref': <weakref at 0x7fa51c2dbe20; to 'Tensor' at 0x7fa51c4d8ea0>
2022-11-23T02:04:40.2470032Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2470110Z             }
2022-11-23T02:04:40.2470207Z             
2022-11-23T02:04:40.2470312Z  - 
2022-11-23T02:04:40.2470487Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2470587Z             {
2022-11-23T02:04:40.2470784Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2470935Z                 'code': None,
2022-11-23T02:04:40.2471209Z                 'obj_weakref': <weakref at 0x7fa51c2da200; to 'Tensor' at 0x7fa51c274590>
2022-11-23T02:04:40.2471546Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2471642Z             }
2022-11-23T02:04:40.2471782Z             
2022-11-23T02:04:40.2471897Z  - 
2022-11-23T02:04:40.2472082Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2472179Z             {
2022-11-23T02:04:40.2472348Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2472579Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2472748Z                 'obj_weakref': None
2022-11-23T02:04:40.2473060Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2473163Z             }
2022-11-23T02:04:40.2473259Z             
2022-11-23T02:04:40.2473368Z  - 
2022-11-23T02:04:40.2473520Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2473621Z             {
2022-11-23T02:04:40.2473807Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2474104Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2474275Z                 'obj_weakref': None
2022-11-23T02:04:40.2474577Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2474672Z             }
2022-11-23T02:04:40.2474748Z             
2022-11-23T02:04:40.2475098Z [2022-11-23 02:02:31,263] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 392
2022-11-23T02:04:40.2475592Z [2022-11-23 02:02:33,894] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ch/cchd3fieglvsxsl4xhzumrasbqfh74hiomkg4vizvnqv7x2qcizx.py
2022-11-23T02:04:40.2475947Z [2022-11-23 02:02:33,895] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 392
2022-11-23T02:04:40.2475971Z 
2022-11-23T02:04:40.2476110Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2476214Z import torch
2022-11-23T02:04:40.2476320Z import random
2022-11-23T02:04:40.2476486Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2476643Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2476681Z 
2022-11-23T02:04:40.2476779Z aten = torch.ops.aten
2022-11-23T02:04:40.2476966Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2477099Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2477118Z 
2022-11-23T02:04:40.2477136Z 
2022-11-23T02:04:40.2477326Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2477605Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2477772Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2477922Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2478067Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2478229Z {
2022-11-23T02:04:40.2478376Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2478470Z     {
2022-11-23T02:04:40.2478586Z         #pragma omp for 
2022-11-23T02:04:40.2478703Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.2478803Z         {
2022-11-23T02:04:40.2478908Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:40.2479006Z             {
2022-11-23T02:04:40.2479220Z                 auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T02:04:40.2479415Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (10*i0));
2022-11-23T02:04:40.2479547Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2479694Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T02:04:40.2479791Z             }
2022-11-23T02:04:40.2479924Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:40.2480029Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T02:04:40.2480130Z             {
2022-11-23T02:04:40.2480259Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.2480397Z                 auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T02:04:40.2480522Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2480703Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.2480786Z             }
2022-11-23T02:04:40.2480881Z         }
2022-11-23T02:04:40.2480977Z     }
2022-11-23T02:04:40.2481067Z }
2022-11-23T02:04:40.2481193Z ''')
2022-11-23T02:04:40.2481212Z 
2022-11-23T02:04:40.2481230Z 
2022-11-23T02:04:40.2481363Z async_compile.wait(globals())
2022-11-23T02:04:40.2481472Z del async_compile
2022-11-23T02:04:40.2481491Z 
2022-11-23T02:04:40.2481596Z def call(args):
2022-11-23T02:04:40.2481692Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2481800Z     args.clear()
2022-11-23T02:04:40.2482075Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2482302Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2482412Z     del arg0_1
2022-11-23T02:04:40.2482515Z     del arg1_1
2022-11-23T02:04:40.2482626Z     return (buf0, )
2022-11-23T02:04:40.2482644Z 
2022-11-23T02:04:40.2482663Z 
2022-11-23T02:04:40.2482760Z if __name__ == "__main__":
2022-11-23T02:04:40.2482926Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2483100Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2483371Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2483695Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2483860Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2483880Z 
2022-11-23T02:04:40.2483983Z ok (2.666s)
2022-11-23T02:04:40.2484454Z   test_cpu_broadcast2_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:33,902] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2484865Z [2022-11-23 02:02:33,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2485168Z [2022-11-23 02:02:33,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2485508Z [2022-11-23 02:02:33,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2485883Z [2022-11-23 02:02:33,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2486309Z [2022-11-23 02:02:33,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2486771Z [2022-11-23 02:02:33,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2487204Z [2022-11-23 02:02:33,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2487795Z [2022-11-23 02:02:33,903] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2487931Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2488063Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2488155Z               4 BINARY_ADD
2022-11-23T02:04:40.2488286Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2488403Z               8 RETURN_VALUE
2022-11-23T02:04:40.2488495Z  
2022-11-23T02:04:40.2488514Z 
2022-11-23T02:04:40.2489010Z [2022-11-23 02:02:33,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2489301Z [2022-11-23 02:02:33,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2489631Z [2022-11-23 02:02:33,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2490057Z [2022-11-23 02:02:33,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2490373Z [2022-11-23 02:02:33,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2490708Z [2022-11-23 02:02:33,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2491221Z [2022-11-23 02:02:33,906] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2491558Z [2022-11-23 02:02:33,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2491877Z [2022-11-23 02:02:33,906] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2492229Z [2022-11-23 02:02:33,908] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2492576Z [2022-11-23 02:02:33,913] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2492837Z [2022-11-23 02:02:33,913] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2493031Z  __compiled_fn_401 <eval_with_key>.2885 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2493160Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2493271Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2493518Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2493656Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2493675Z 
2022-11-23T02:04:40.2494107Z [2022-11-23 02:02:33,914] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2494253Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2494386Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2494518Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2494637Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2494766Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2494898Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2495011Z              12 RETURN_VALUE
2022-11-23T02:04:40.2495030Z 
2022-11-23T02:04:40.2495125Z  
2022-11-23T02:04:40.2495566Z [2022-11-23 02:02:33,914] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2495724Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_401)
2022-11-23T02:04:40.2495854Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2495969Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2496748Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2496953Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2497156Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2497342Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2497560Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2497804Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2498020Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2498184Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2498299Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2498427Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2498539Z              26 RETURN_VALUE
2022-11-23T02:04:40.2498564Z 
2022-11-23T02:04:40.2498656Z  
2022-11-23T02:04:40.2498930Z [2022-11-23 02:02:33,915] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2499019Z  - 
2022-11-23T02:04:40.2499192Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2499291Z             {
2022-11-23T02:04:40.2499484Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2499742Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2500045Z                 'obj_weakref': None
2022-11-23T02:04:40.2500368Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2500466Z             }
2022-11-23T02:04:40.2500542Z             
2022-11-23T02:04:40.2500648Z  - 
2022-11-23T02:04:40.2500825Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2500920Z             {
2022-11-23T02:04:40.2501118Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2501272Z                 'code': None,
2022-11-23T02:04:40.2501537Z                 'obj_weakref': <weakref at 0x7fa5321ebb00; to 'Tensor' at 0x7fa532273970>
2022-11-23T02:04:40.2501876Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2501976Z             }
2022-11-23T02:04:40.2502071Z             
2022-11-23T02:04:40.2502175Z  - 
2022-11-23T02:04:40.2502345Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2502440Z             {
2022-11-23T02:04:40.2502626Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2502781Z                 'code': None,
2022-11-23T02:04:40.2503068Z                 'obj_weakref': <weakref at 0x7fa5321e9620; to 'Tensor' at 0x7fa51c3a0220>
2022-11-23T02:04:40.2503408Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2503508Z             }
2022-11-23T02:04:40.2503604Z             
2022-11-23T02:04:40.2503708Z  - 
2022-11-23T02:04:40.2503872Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2503969Z             {
2022-11-23T02:04:40.2504160Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2504398Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2504566Z                 'obj_weakref': None
2022-11-23T02:04:40.2504872Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2504971Z             }
2022-11-23T02:04:40.2505049Z             
2022-11-23T02:04:40.2505154Z  - 
2022-11-23T02:04:40.2505326Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2505422Z             {
2022-11-23T02:04:40.2505614Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2505908Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2506077Z                 'obj_weakref': None
2022-11-23T02:04:40.2506376Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2506453Z             }
2022-11-23T02:04:40.2506552Z             
2022-11-23T02:04:40.2506906Z [2022-11-23 02:02:33,924] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 393
2022-11-23T02:04:40.2507502Z [2022-11-23 02:02:36,571] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zx/czx7yddlpgprhw4g6bfiel74logsty3kvnyu22r5oyiyven75s36.py
2022-11-23T02:04:40.2507867Z [2022-11-23 02:02:36,572] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 393
2022-11-23T02:04:40.2507893Z 
2022-11-23T02:04:40.2508029Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2508134Z import torch
2022-11-23T02:04:40.2508220Z import random
2022-11-23T02:04:40.2508387Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2508558Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2508577Z 
2022-11-23T02:04:40.2508693Z aten = torch.ops.aten
2022-11-23T02:04:40.2508880Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2509016Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2509039Z 
2022-11-23T02:04:40.2509058Z 
2022-11-23T02:04:40.2509251Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2509532Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2509756Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2509895Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2510037Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2510132Z {
2022-11-23T02:04:40.2510273Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2510368Z     {
2022-11-23T02:04:40.2510484Z         #pragma omp for 
2022-11-23T02:04:40.2510587Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.2510683Z         {
2022-11-23T02:04:40.2510807Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:40.2510904Z             {
2022-11-23T02:04:40.2511108Z                 auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T02:04:40.2511304Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T02:04:40.2511437Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2511585Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T02:04:40.2511663Z             }
2022-11-23T02:04:40.2511799Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:40.2511922Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T02:04:40.2512019Z             {
2022-11-23T02:04:40.2512142Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.2512265Z                 auto tmp1 = in_ptr1[i1];
2022-11-23T02:04:40.2512391Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2512507Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.2512603Z             }
2022-11-23T02:04:40.2512695Z         }
2022-11-23T02:04:40.2512788Z     }
2022-11-23T02:04:40.2512878Z }
2022-11-23T02:04:40.2512999Z ''')
2022-11-23T02:04:40.2513019Z 
2022-11-23T02:04:40.2513037Z 
2022-11-23T02:04:40.2513172Z async_compile.wait(globals())
2022-11-23T02:04:40.2513268Z del async_compile
2022-11-23T02:04:40.2513287Z 
2022-11-23T02:04:40.2513394Z def call(args):
2022-11-23T02:04:40.2513507Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2513613Z     args.clear()
2022-11-23T02:04:40.2513910Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2514140Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2514243Z     del arg0_1
2022-11-23T02:04:40.2514327Z     del arg1_1
2022-11-23T02:04:40.2514435Z     return (buf0, )
2022-11-23T02:04:40.2514455Z 
2022-11-23T02:04:40.2514473Z 
2022-11-23T02:04:40.2514585Z if __name__ == "__main__":
2022-11-23T02:04:40.2514751Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2514923Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2515211Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2515557Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2515726Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2515747Z 
2022-11-23T02:04:40.2515829Z ok (2.676s)
2022-11-23T02:04:40.2516306Z   test_cpu_broadcast2_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:36,578] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2516733Z [2022-11-23 02:02:36,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2517031Z [2022-11-23 02:02:36,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2517373Z [2022-11-23 02:02:36,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2517748Z [2022-11-23 02:02:36,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2518179Z [2022-11-23 02:02:36,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2518695Z [2022-11-23 02:02:36,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2519134Z [2022-11-23 02:02:36,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2519639Z [2022-11-23 02:02:36,580] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2519756Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2519891Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2520001Z               4 BINARY_ADD
2022-11-23T02:04:40.2520136Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2520250Z               8 RETURN_VALUE
2022-11-23T02:04:40.2520342Z  
2022-11-23T02:04:40.2520361Z 
2022-11-23T02:04:40.2520789Z [2022-11-23 02:02:36,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2521079Z [2022-11-23 02:02:36,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2521380Z [2022-11-23 02:02:36,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2521748Z [2022-11-23 02:02:36,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2522080Z [2022-11-23 02:02:36,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2522412Z [2022-11-23 02:02:36,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2522936Z [2022-11-23 02:02:36,583] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2523274Z [2022-11-23 02:02:36,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2523593Z [2022-11-23 02:02:36,583] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2523943Z [2022-11-23 02:02:36,585] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2524278Z [2022-11-23 02:02:36,589] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2524538Z [2022-11-23 02:02:36,589] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2524710Z  __compiled_fn_402 <eval_with_key>.2891 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2524932Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2525057Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2525303Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2525439Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2525458Z 
2022-11-23T02:04:40.2525895Z [2022-11-23 02:02:36,590] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2526032Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2526165Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2526274Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2526407Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2526532Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2526661Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2526776Z              12 RETURN_VALUE
2022-11-23T02:04:40.2526799Z 
2022-11-23T02:04:40.2526894Z  
2022-11-23T02:04:40.2527332Z [2022-11-23 02:02:36,590] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2527525Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_402)
2022-11-23T02:04:40.2527660Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2527790Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2527906Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2528034Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2528165Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2528277Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2528388Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2528538Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2528682Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2528815Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2528935Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2529063Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2529177Z              26 RETURN_VALUE
2022-11-23T02:04:40.2529197Z 
2022-11-23T02:04:40.2529290Z  
2022-11-23T02:04:40.2529533Z [2022-11-23 02:02:36,592] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2529641Z  - 
2022-11-23T02:04:40.2529811Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2529915Z             {
2022-11-23T02:04:40.2530109Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2530366Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2530539Z                 'obj_weakref': None
2022-11-23T02:04:40.2530831Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2530930Z             }
2022-11-23T02:04:40.2531027Z             
2022-11-23T02:04:40.2531140Z  - 
2022-11-23T02:04:40.2531313Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2531405Z             {
2022-11-23T02:04:40.2531586Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2531735Z                 'code': None,
2022-11-23T02:04:40.2532029Z                 'obj_weakref': <weakref at 0x7fa51c200fe0; to 'Tensor' at 0x7fa62380dd00>
2022-11-23T02:04:40.2532370Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2532468Z             }
2022-11-23T02:04:40.2532561Z             
2022-11-23T02:04:40.2532674Z  - 
2022-11-23T02:04:40.2532849Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2532927Z             {
2022-11-23T02:04:40.2533124Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2533278Z                 'code': None,
2022-11-23T02:04:40.2533559Z                 'obj_weakref': <weakref at 0x7fa51c200810; to 'Tensor' at 0x7fa5500818a0>
2022-11-23T02:04:40.2533974Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2534073Z             }
2022-11-23T02:04:40.2534168Z             
2022-11-23T02:04:40.2534254Z  - 
2022-11-23T02:04:40.2534439Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2534535Z             {
2022-11-23T02:04:40.2534723Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2534958Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2535126Z                 'obj_weakref': None
2022-11-23T02:04:40.2535435Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2535514Z             }
2022-11-23T02:04:40.2535608Z             
2022-11-23T02:04:40.2535721Z  - 
2022-11-23T02:04:40.2535892Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2535987Z             {
2022-11-23T02:04:40.2536781Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2537283Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2537539Z                 'obj_weakref': None
2022-11-23T02:04:40.2538247Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2538396Z             }
2022-11-23T02:04:40.2538493Z             
2022-11-23T02:04:40.2538863Z [2022-11-23 02:02:36,601] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 394
2022-11-23T02:04:40.2539353Z [2022-11-23 02:02:36,614] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2q/c2qhinuxwjumfwipd2jgac37mj2kgozdp6gfouwyg5qjxxwzgc3u.py
2022-11-23T02:04:40.2539709Z [2022-11-23 02:02:36,614] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 394
2022-11-23T02:04:40.2539729Z 
2022-11-23T02:04:40.2539926Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2540012Z import torch
2022-11-23T02:04:40.2540125Z import random
2022-11-23T02:04:40.2540288Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2540457Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2540478Z 
2022-11-23T02:04:40.2540595Z aten = torch.ops.aten
2022-11-23T02:04:40.2540785Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2540922Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2540941Z 
2022-11-23T02:04:40.2540960Z 
2022-11-23T02:04:40.2541151Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2541413Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2541615Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2541739Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2541883Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2541977Z {
2022-11-23T02:04:40.2542119Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2542218Z     {
2022-11-23T02:04:40.2542314Z         #pragma omp for 
2022-11-23T02:04:40.2542436Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:40.2542534Z         {
2022-11-23T02:04:40.2542753Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.2542938Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.2543065Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2543196Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.2543273Z         }
2022-11-23T02:04:40.2543411Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.2543533Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:40.2543629Z         {
2022-11-23T02:04:40.2543754Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.2543877Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.2543997Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2544096Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.2544296Z         }
2022-11-23T02:04:40.2544389Z     }
2022-11-23T02:04:40.2544480Z }
2022-11-23T02:04:40.2544605Z ''')
2022-11-23T02:04:40.2544625Z 
2022-11-23T02:04:40.2544644Z 
2022-11-23T02:04:40.2544791Z async_compile.wait(globals())
2022-11-23T02:04:40.2544896Z del async_compile
2022-11-23T02:04:40.2544925Z 
2022-11-23T02:04:40.2544998Z def call(args):
2022-11-23T02:04:40.2545111Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2545220Z     args.clear()
2022-11-23T02:04:40.2545502Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2545729Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2545832Z     del arg0_1
2022-11-23T02:04:40.2545932Z     del arg1_1
2022-11-23T02:04:40.2546021Z     return (buf0, )
2022-11-23T02:04:40.2546041Z 
2022-11-23T02:04:40.2546078Z 
2022-11-23T02:04:40.2546175Z if __name__ == "__main__":
2022-11-23T02:04:40.2546334Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2546512Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2546798Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2547134Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2547304Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2547323Z 
2022-11-23T02:04:40.2547424Z ok (0.043s)
2022-11-23T02:04:40.2547875Z   test_cpu_broadcast2_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:36,621] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2548300Z [2022-11-23 02:02:36,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2548597Z [2022-11-23 02:02:36,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2548942Z [2022-11-23 02:02:36,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2549315Z [2022-11-23 02:02:36,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2549742Z [2022-11-23 02:02:36,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2550203Z [2022-11-23 02:02:36,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2550633Z [2022-11-23 02:02:36,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2551139Z [2022-11-23 02:02:36,622] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2551282Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2551415Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2551507Z               4 BINARY_ADD
2022-11-23T02:04:40.2551638Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2551750Z               8 RETURN_VALUE
2022-11-23T02:04:40.2551842Z  
2022-11-23T02:04:40.2551862Z 
2022-11-23T02:04:40.2552285Z [2022-11-23 02:02:36,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2552573Z [2022-11-23 02:02:36,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2552894Z [2022-11-23 02:02:36,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2553258Z [2022-11-23 02:02:36,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2553630Z [2022-11-23 02:02:36,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2553961Z [2022-11-23 02:02:36,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2554477Z [2022-11-23 02:02:36,625] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2554811Z [2022-11-23 02:02:36,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2555130Z [2022-11-23 02:02:36,626] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2555470Z [2022-11-23 02:02:36,627] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2555807Z [2022-11-23 02:02:36,632] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2556072Z [2022-11-23 02:02:36,632] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2556261Z  __compiled_fn_403 <eval_with_key>.2897 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2556372Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2556552Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2556805Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2556945Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2556965Z 
2022-11-23T02:04:40.2557403Z [2022-11-23 02:02:36,633] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2557540Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2557673Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2557799Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2557915Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2558044Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2558176Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2558289Z              12 RETURN_VALUE
2022-11-23T02:04:40.2558308Z 
2022-11-23T02:04:40.2558400Z  
2022-11-23T02:04:40.2558838Z [2022-11-23 02:02:36,633] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2558993Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_403)
2022-11-23T02:04:40.2559105Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2559237Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2559352Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2559477Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2559605Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2559719Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2559844Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2559980Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2560125Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2560255Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2560372Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2560499Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2560609Z              26 RETURN_VALUE
2022-11-23T02:04:40.2560628Z 
2022-11-23T02:04:40.2560721Z  
2022-11-23T02:04:40.2560984Z [2022-11-23 02:02:36,635] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2561073Z  - 
2022-11-23T02:04:40.2561240Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2561338Z             {
2022-11-23T02:04:40.2561535Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2561794Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2561962Z                 'obj_weakref': None
2022-11-23T02:04:40.2562388Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2562468Z             }
2022-11-23T02:04:40.2562565Z             
2022-11-23T02:04:40.2562800Z  - 
2022-11-23T02:04:40.2562982Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2563080Z             {
2022-11-23T02:04:40.2563279Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2563432Z                 'code': None,
2022-11-23T02:04:40.2563700Z                 'obj_weakref': <weakref at 0x7fa51c277970; to 'Tensor' at 0x7fa51c513100>
2022-11-23T02:04:40.2564042Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2564145Z             }
2022-11-23T02:04:40.2564241Z             
2022-11-23T02:04:40.2564349Z  - 
2022-11-23T02:04:40.2564523Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2564620Z             {
2022-11-23T02:04:40.2564800Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2564956Z                 'code': None,
2022-11-23T02:04:40.2565243Z                 'obj_weakref': <weakref at 0x7fa51c276ac0; to 'Tensor' at 0x7fa62380dd50>
2022-11-23T02:04:40.2565643Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2565746Z             }
2022-11-23T02:04:40.2565843Z             
2022-11-23T02:04:40.2565951Z  - 
2022-11-23T02:04:40.2566115Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2566210Z             {
2022-11-23T02:04:40.2566399Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2566635Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2566808Z                 'obj_weakref': None
2022-11-23T02:04:40.2567119Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2567217Z             }
2022-11-23T02:04:40.2567299Z             
2022-11-23T02:04:40.2567402Z  - 
2022-11-23T02:04:40.2567576Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2567674Z             {
2022-11-23T02:04:40.2567864Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2568161Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2568329Z                 'obj_weakref': None
2022-11-23T02:04:40.2568615Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2568709Z             }
2022-11-23T02:04:40.2568803Z             
2022-11-23T02:04:40.2569161Z [2022-11-23 02:02:36,643] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 395
2022-11-23T02:04:40.2569651Z [2022-11-23 02:02:36,657] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6a/c6a5fikezws5b6mjhvr2qzfk65st66fpwtdu2hnzg7e6x4dqoa5u.py
2022-11-23T02:04:40.2570011Z [2022-11-23 02:02:36,657] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 395
2022-11-23T02:04:40.2570035Z 
2022-11-23T02:04:40.2570171Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2570282Z import torch
2022-11-23T02:04:40.2570367Z import random
2022-11-23T02:04:40.2570534Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2570707Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2570726Z 
2022-11-23T02:04:40.2570845Z aten = torch.ops.aten
2022-11-23T02:04:40.2571034Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2571168Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2571189Z 
2022-11-23T02:04:40.2571209Z 
2022-11-23T02:04:40.2571395Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2571677Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2571828Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2572092Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2572237Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2572330Z {
2022-11-23T02:04:40.2572471Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2572566Z     {
2022-11-23T02:04:40.2572685Z         #pragma omp for 
2022-11-23T02:04:40.2572787Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:40.2572882Z         {
2022-11-23T02:04:40.2573093Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.2573269Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T02:04:40.2573395Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2573531Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.2573629Z         }
2022-11-23T02:04:40.2573747Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.2573874Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:40.2573971Z         {
2022-11-23T02:04:40.2574094Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.2574223Z             auto tmp1 = in_ptr1[0];
2022-11-23T02:04:40.2574346Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2574467Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.2574541Z         }
2022-11-23T02:04:40.2574631Z     }
2022-11-23T02:04:40.2574780Z }
2022-11-23T02:04:40.2574919Z ''')
2022-11-23T02:04:40.2574939Z 
2022-11-23T02:04:40.2574958Z 
2022-11-23T02:04:40.2575090Z async_compile.wait(globals())
2022-11-23T02:04:40.2575203Z del async_compile
2022-11-23T02:04:40.2575222Z 
2022-11-23T02:04:40.2575329Z def call(args):
2022-11-23T02:04:40.2575423Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2575531Z     args.clear()
2022-11-23T02:04:40.2575816Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2576586Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2576773Z     del arg0_1
2022-11-23T02:04:40.2576930Z     del arg1_1
2022-11-23T02:04:40.2577113Z     return (buf0, )
2022-11-23T02:04:40.2577140Z 
2022-11-23T02:04:40.2577165Z 
2022-11-23T02:04:40.2577347Z if __name__ == "__main__":
2022-11-23T02:04:40.2577597Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2577899Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2578402Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2578686Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2578851Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2578871Z 
2022-11-23T02:04:40.2578972Z ok (0.043s)
2022-11-23T02:04:40.2579432Z   test_cpu_broadcast2_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:36,664] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2579860Z [2022-11-23 02:02:36,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2580144Z [2022-11-23 02:02:36,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2580487Z [2022-11-23 02:02:36,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2580865Z [2022-11-23 02:02:36,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2581287Z [2022-11-23 02:02:36,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2581745Z [2022-11-23 02:02:36,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2582175Z [2022-11-23 02:02:36,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2582853Z [2022-11-23 02:02:36,665] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2582992Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2583126Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2583237Z               4 BINARY_ADD
2022-11-23T02:04:40.2583349Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2583461Z               8 RETURN_VALUE
2022-11-23T02:04:40.2583554Z  
2022-11-23T02:04:40.2583573Z 
2022-11-23T02:04:40.2583996Z [2022-11-23 02:02:36,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2584281Z [2022-11-23 02:02:36,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2584597Z [2022-11-23 02:02:36,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2584971Z [2022-11-23 02:02:36,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2585381Z [2022-11-23 02:02:36,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2585703Z [2022-11-23 02:02:36,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2586216Z [2022-11-23 02:02:36,668] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2586546Z [2022-11-23 02:02:36,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2586865Z [2022-11-23 02:02:36,669] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2587205Z [2022-11-23 02:02:36,670] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2587552Z [2022-11-23 02:02:36,675] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2587820Z [2022-11-23 02:02:36,675] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2588010Z  __compiled_fn_404 <eval_with_key>.2903 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2588139Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2588247Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2588498Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2588633Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2588653Z 
2022-11-23T02:04:40.2589144Z [2022-11-23 02:02:36,676] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2589286Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2589423Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2589551Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2589689Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2589794Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2589927Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2590043Z              12 RETURN_VALUE
2022-11-23T02:04:40.2590062Z 
2022-11-23T02:04:40.2590158Z  
2022-11-23T02:04:40.2590592Z [2022-11-23 02:02:36,676] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2590752Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_404)
2022-11-23T02:04:40.2590883Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2591013Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2591109Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2591234Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2591460Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2591573Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2591700Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2591849Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2591994Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2592107Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2592220Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2592346Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2592462Z              26 RETURN_VALUE
2022-11-23T02:04:40.2592482Z 
2022-11-23T02:04:40.2592575Z  
2022-11-23T02:04:40.2592832Z [2022-11-23 02:02:36,677] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2592941Z  - 
2022-11-23T02:04:40.2593089Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2593187Z             {
2022-11-23T02:04:40.2593383Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2593648Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2593819Z                 'obj_weakref': None
2022-11-23T02:04:40.2594176Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2594278Z             }
2022-11-23T02:04:40.2594356Z             
2022-11-23T02:04:40.2594465Z  - 
2022-11-23T02:04:40.2594644Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2594741Z             {
2022-11-23T02:04:40.2594939Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2595095Z                 'code': None,
2022-11-23T02:04:40.2595386Z                 'obj_weakref': <weakref at 0x7fa5042fd670; to 'Tensor' at 0x7fa62380dda0>
2022-11-23T02:04:40.2595706Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2595804Z             }
2022-11-23T02:04:40.2595904Z             
2022-11-23T02:04:40.2596012Z  - 
2022-11-23T02:04:40.2596186Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2596283Z             {
2022-11-23T02:04:40.2596484Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2596617Z                 'code': None,
2022-11-23T02:04:40.2596907Z                 'obj_weakref': <weakref at 0x7fa5042fcae0; to 'Tensor' at 0x7fa62380dd00>
2022-11-23T02:04:40.2597251Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2597352Z             }
2022-11-23T02:04:40.2597449Z             
2022-11-23T02:04:40.2597557Z  - 
2022-11-23T02:04:40.2597743Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2597820Z             {
2022-11-23T02:04:40.2598011Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2598247Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2598419Z                 'obj_weakref': None
2022-11-23T02:04:40.2598737Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2598838Z             }
2022-11-23T02:04:40.2598938Z             
2022-11-23T02:04:40.2599029Z  - 
2022-11-23T02:04:40.2599203Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2599302Z             {
2022-11-23T02:04:40.2599492Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2599788Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2599958Z                 'obj_weakref': None
2022-11-23T02:04:40.2600262Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2600342Z             }
2022-11-23T02:04:40.2600441Z             
2022-11-23T02:04:40.2600796Z [2022-11-23 02:02:36,686] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 396
2022-11-23T02:04:40.2601281Z [2022-11-23 02:02:36,701] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t6/ct6tf3jgftg3v5vzsi63d5bndvik3hmn2jids2u66vh625i6axfm.py
2022-11-23T02:04:40.2601719Z [2022-11-23 02:02:36,702] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 396
2022-11-23T02:04:40.2601743Z 
2022-11-23T02:04:40.2601880Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2601996Z import torch
2022-11-23T02:04:40.2602102Z import random
2022-11-23T02:04:40.2602249Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2602427Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2602448Z 
2022-11-23T02:04:40.2602565Z aten = torch.ops.aten
2022-11-23T02:04:40.2602753Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2602888Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2602908Z 
2022-11-23T02:04:40.2602927Z 
2022-11-23T02:04:40.2603118Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2603399Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2603576Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2603704Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2603895Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2603992Z {
2022-11-23T02:04:40.2604135Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2604228Z     {
2022-11-23T02:04:40.2604343Z         #pragma omp for 
2022-11-23T02:04:40.2604463Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.2604541Z         {
2022-11-23T02:04:40.2604665Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:40.2604761Z             {
2022-11-23T02:04:40.2604969Z                 auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T02:04:40.2605163Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (10*i0));
2022-11-23T02:04:40.2605290Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2605447Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T02:04:40.2605525Z             }
2022-11-23T02:04:40.2605659Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:40.2605786Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T02:04:40.2605886Z             {
2022-11-23T02:04:40.2606012Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.2606153Z                 auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T02:04:40.2606279Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2606393Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.2606489Z             }
2022-11-23T02:04:40.2606582Z         }
2022-11-23T02:04:40.2606677Z     }
2022-11-23T02:04:40.2606765Z }
2022-11-23T02:04:40.2606889Z ''')
2022-11-23T02:04:40.2606909Z 
2022-11-23T02:04:40.2606927Z 
2022-11-23T02:04:40.2607065Z async_compile.wait(globals())
2022-11-23T02:04:40.2607154Z del async_compile
2022-11-23T02:04:40.2607195Z 
2022-11-23T02:04:40.2607287Z def call(args):
2022-11-23T02:04:40.2607403Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2607510Z     args.clear()
2022-11-23T02:04:40.2607803Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2608040Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2608143Z     del arg0_1
2022-11-23T02:04:40.2608225Z     del arg1_1
2022-11-23T02:04:40.2608336Z     return (buf0, )
2022-11-23T02:04:40.2608355Z 
2022-11-23T02:04:40.2608373Z 
2022-11-23T02:04:40.2608490Z if __name__ == "__main__":
2022-11-23T02:04:40.2608651Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2608826Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2609113Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2609385Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2609624Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2609645Z 
2022-11-23T02:04:40.2609749Z ok (0.044s)
2022-11-23T02:04:40.2610191Z   test_cpu_broadcast2_double (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:36,709] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2610616Z [2022-11-23 02:02:36,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2610911Z [2022-11-23 02:02:36,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2611258Z [2022-11-23 02:02:36,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2611632Z [2022-11-23 02:02:36,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2612060Z [2022-11-23 02:02:36,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2612525Z [2022-11-23 02:02:36,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2613016Z [2022-11-23 02:02:36,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2613528Z [2022-11-23 02:02:36,710] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2613663Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2613776Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2613887Z               4 BINARY_ADD
2022-11-23T02:04:40.2614021Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2614141Z               8 RETURN_VALUE
2022-11-23T02:04:40.2614239Z  
2022-11-23T02:04:40.2614259Z 
2022-11-23T02:04:40.2614679Z [2022-11-23 02:02:36,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2614974Z [2022-11-23 02:02:36,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2615295Z [2022-11-23 02:02:36,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2615644Z [2022-11-23 02:02:36,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2615974Z [2022-11-23 02:02:36,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2617079Z [2022-11-23 02:02:36,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2617995Z [2022-11-23 02:02:36,713] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2618364Z [2022-11-23 02:02:36,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2618685Z [2022-11-23 02:02:36,713] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2619029Z [2022-11-23 02:02:36,715] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2619364Z [2022-11-23 02:02:36,722] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2619622Z [2022-11-23 02:02:36,723] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2619794Z  __compiled_fn_405 <eval_with_key>.2909 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2619925Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2620052Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2620469Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2620609Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2620629Z 
2022-11-23T02:04:40.2621063Z [2022-11-23 02:02:36,723] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2621202Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2621335Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2621443Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2621582Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2621706Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2621837Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2621949Z              12 RETURN_VALUE
2022-11-23T02:04:40.2621968Z 
2022-11-23T02:04:40.2622062Z  
2022-11-23T02:04:40.2622497Z [2022-11-23 02:02:36,724] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2622659Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_405)
2022-11-23T02:04:40.2622771Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2622971Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2623095Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2623223Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2623354Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2623467Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2623594Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2623724Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2623918Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2624046Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2624159Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2624290Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2624401Z              26 RETURN_VALUE
2022-11-23T02:04:40.2624421Z 
2022-11-23T02:04:40.2624512Z  
2022-11-23T02:04:40.2624756Z [2022-11-23 02:02:36,725] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2624863Z  - 
2022-11-23T02:04:40.2625034Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2625133Z             {
2022-11-23T02:04:40.2625329Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2625589Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2625757Z                 'obj_weakref': None
2022-11-23T02:04:40.2626042Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2626141Z             }
2022-11-23T02:04:40.2626235Z             
2022-11-23T02:04:40.2626341Z  - 
2022-11-23T02:04:40.2626514Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2626609Z             {
2022-11-23T02:04:40.2626812Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2626947Z                 'code': None,
2022-11-23T02:04:40.2627232Z                 'obj_weakref': <weakref at 0x7fa5322271a0; to 'Tensor' at 0x7fa5321c1cb0>
2022-11-23T02:04:40.2627576Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2627670Z             }
2022-11-23T02:04:40.2627763Z             
2022-11-23T02:04:40.2627867Z  - 
2022-11-23T02:04:40.2628044Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2628120Z             {
2022-11-23T02:04:40.2628318Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2628472Z                 'code': None,
2022-11-23T02:04:40.2628754Z                 'obj_weakref': <weakref at 0x7fa532225850; to 'Tensor' at 0x7fa62380ddf0>
2022-11-23T02:04:40.2629088Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2629261Z             }
2022-11-23T02:04:40.2629356Z             
2022-11-23T02:04:40.2629445Z  - 
2022-11-23T02:04:40.2629626Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2629722Z             {
2022-11-23T02:04:40.2629915Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2630151Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2630319Z                 'obj_weakref': None
2022-11-23T02:04:40.2630628Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2630705Z             }
2022-11-23T02:04:40.2630800Z             
2022-11-23T02:04:40.2630904Z  - 
2022-11-23T02:04:40.2631076Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2631172Z             {
2022-11-23T02:04:40.2631365Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2631658Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2631811Z                 'obj_weakref': None
2022-11-23T02:04:40.2632111Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2632204Z             }
2022-11-23T02:04:40.2632299Z             
2022-11-23T02:04:40.2632709Z [2022-11-23 02:02:36,734] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 397
2022-11-23T02:04:40.2633191Z [2022-11-23 02:02:39,353] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/47/c476572mqbfcsfd3dqh3e522vfd3sdjxiyonahsnfxu2s2anhxwu.py
2022-11-23T02:04:40.2633551Z [2022-11-23 02:02:39,353] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 397
2022-11-23T02:04:40.2633571Z 
2022-11-23T02:04:40.2633707Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2633794Z import torch
2022-11-23T02:04:40.2633899Z import random
2022-11-23T02:04:40.2634062Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2634238Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2634257Z 
2022-11-23T02:04:40.2634375Z aten = torch.ops.aten
2022-11-23T02:04:40.2634562Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2634696Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2634718Z 
2022-11-23T02:04:40.2634737Z 
2022-11-23T02:04:40.2634930Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2635190Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2635361Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2635515Z                        const double* __restrict__ in_ptr1,
2022-11-23T02:04:40.2635660Z                        double* __restrict__ out_ptr0)
2022-11-23T02:04:40.2635752Z {
2022-11-23T02:04:40.2635892Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2635983Z     {
2022-11-23T02:04:40.2636096Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.2636221Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.2636318Z         {
2022-11-23T02:04:40.2636451Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.2636544Z             {
2022-11-23T02:04:40.2636644Z                 {
2022-11-23T02:04:40.2636749Z                     {
2022-11-23T02:04:40.2636868Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.2637015Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T02:04:40.2637174Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T02:04:40.2637308Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:40.2637447Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.2637548Z                     }
2022-11-23T02:04:40.2637645Z                 }
2022-11-23T02:04:40.2637723Z             }
2022-11-23T02:04:40.2637815Z         }
2022-11-23T02:04:40.2637908Z     }
2022-11-23T02:04:40.2637997Z }
2022-11-23T02:04:40.2638117Z ''')
2022-11-23T02:04:40.2638192Z 
2022-11-23T02:04:40.2638210Z 
2022-11-23T02:04:40.2638346Z async_compile.wait(globals())
2022-11-23T02:04:40.2638453Z del async_compile
2022-11-23T02:04:40.2638472Z 
2022-11-23T02:04:40.2638558Z def call(args):
2022-11-23T02:04:40.2638672Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2638783Z     args.clear()
2022-11-23T02:04:40.2639071Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.2639296Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2639398Z     del arg0_1
2022-11-23T02:04:40.2639498Z     del arg1_1
2022-11-23T02:04:40.2639587Z     return (buf0, )
2022-11-23T02:04:40.2639624Z 
2022-11-23T02:04:40.2639643Z 
2022-11-23T02:04:40.2639737Z if __name__ == "__main__":
2022-11-23T02:04:40.2639898Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2640075Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2640359Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2640634Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.2640796Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2640815Z 
2022-11-23T02:04:40.2640967Z ok (2.651s)
2022-11-23T02:04:40.2641498Z   test_cpu_broadcast2_int (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:39,360] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2641926Z [2022-11-23 02:02:39,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2642219Z [2022-11-23 02:02:39,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2642560Z [2022-11-23 02:02:39,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2642939Z [2022-11-23 02:02:39,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2643369Z [2022-11-23 02:02:39,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2643839Z [2022-11-23 02:02:39,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2644268Z [2022-11-23 02:02:39,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2644772Z [2022-11-23 02:02:39,361] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2644906Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2645037Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2645134Z               4 BINARY_ADD
2022-11-23T02:04:40.2645265Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2645378Z               8 RETURN_VALUE
2022-11-23T02:04:40.2645476Z  
2022-11-23T02:04:40.2645496Z 
2022-11-23T02:04:40.2645928Z [2022-11-23 02:02:39,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2646217Z [2022-11-23 02:02:39,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2646538Z [2022-11-23 02:02:39,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2646904Z [2022-11-23 02:02:39,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2647214Z [2022-11-23 02:02:39,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2647547Z [2022-11-23 02:02:39,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2648134Z [2022-11-23 02:02:39,365] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2648466Z [2022-11-23 02:02:39,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2648784Z [2022-11-23 02:02:39,365] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2649128Z [2022-11-23 02:02:39,367] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2649467Z [2022-11-23 02:02:39,371] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2649729Z [2022-11-23 02:02:39,372] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2649918Z  __compiled_fn_406 <eval_with_key>.2915 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2650033Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2650160Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2650408Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2650603Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2650625Z 
2022-11-23T02:04:40.2651063Z [2022-11-23 02:02:39,372] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2651202Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2651333Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2651461Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2651580Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2651710Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2651843Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2651964Z              12 RETURN_VALUE
2022-11-23T02:04:40.2651983Z 
2022-11-23T02:04:40.2652077Z  
2022-11-23T02:04:40.2652509Z [2022-11-23 02:02:39,373] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2652673Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_406)
2022-11-23T02:04:40.2652808Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2652919Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2653032Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2653164Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2653298Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2653412Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2653540Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2653692Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2653819Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2653955Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2654070Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2654196Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2654308Z              26 RETURN_VALUE
2022-11-23T02:04:40.2654331Z 
2022-11-23T02:04:40.2654424Z  
2022-11-23T02:04:40.2654682Z [2022-11-23 02:02:39,374] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2654770Z  - 
2022-11-23T02:04:40.2654940Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2655036Z             {
2022-11-23T02:04:40.2655232Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2655488Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2655659Z                 'obj_weakref': None
2022-11-23T02:04:40.2655967Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2656508Z             }
2022-11-23T02:04:40.2656967Z             
2022-11-23T02:04:40.2657165Z  - 
2022-11-23T02:04:40.2657465Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2657628Z             {
2022-11-23T02:04:40.2657967Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2658247Z                 'code': None,
2022-11-23T02:04:40.2658709Z                 'obj_weakref': <weakref at 0x7fa5042fc220; to 'Tensor' at 0x7fa532273970>
2022-11-23T02:04:40.2659064Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2659163Z             }
2022-11-23T02:04:40.2659262Z             
2022-11-23T02:04:40.2659368Z  - 
2022-11-23T02:04:40.2659544Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2659640Z             {
2022-11-23T02:04:40.2659819Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2659971Z                 'code': None,
2022-11-23T02:04:40.2660255Z                 'obj_weakref': <weakref at 0x7fa5042fff60; to 'Tensor' at 0x7fa532046a70>
2022-11-23T02:04:40.2660598Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2660696Z             }
2022-11-23T02:04:40.2660791Z             
2022-11-23T02:04:40.2660993Z  - 
2022-11-23T02:04:40.2661169Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2661268Z             {
2022-11-23T02:04:40.2661458Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2661691Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2661859Z                 'obj_weakref': None
2022-11-23T02:04:40.2662169Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2662265Z             }
2022-11-23T02:04:40.2662344Z             
2022-11-23T02:04:40.2662448Z  - 
2022-11-23T02:04:40.2662622Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2662717Z             {
2022-11-23T02:04:40.2662911Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2663202Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2663369Z                 'obj_weakref': None
2022-11-23T02:04:40.2663656Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2663758Z             }
2022-11-23T02:04:40.2663853Z             
2022-11-23T02:04:40.2664209Z [2022-11-23 02:02:39,383] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 398
2022-11-23T02:04:40.2664695Z [2022-11-23 02:02:41,932] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/je/cjeoqz6kozn6c3hxxwitku5hede3dazaj4eg6r47hukcxdokc2wl.py
2022-11-23T02:04:40.2665053Z [2022-11-23 02:02:41,932] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 398
2022-11-23T02:04:40.2665074Z 
2022-11-23T02:04:40.2665211Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2665321Z import torch
2022-11-23T02:04:40.2665407Z import random
2022-11-23T02:04:40.2665573Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2665747Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2665767Z 
2022-11-23T02:04:40.2665886Z aten = torch.ops.aten
2022-11-23T02:04:40.2666076Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2666209Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2666228Z 
2022-11-23T02:04:40.2666248Z 
2022-11-23T02:04:40.2666437Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2666719Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2666871Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2667016Z                        const int* __restrict__ in_ptr1,
2022-11-23T02:04:40.2667158Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2667313Z {
2022-11-23T02:04:40.2667457Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2667553Z     {
2022-11-23T02:04:40.2667686Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.2667787Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.2667886Z         {
2022-11-23T02:04:40.2668015Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.2668114Z             {
2022-11-23T02:04:40.2668210Z                 {
2022-11-23T02:04:40.2668311Z                     {
2022-11-23T02:04:40.2668453Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.2668572Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T02:04:40.2668732Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T02:04:40.2668866Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:40.2669003Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.2669104Z                     }
2022-11-23T02:04:40.2669203Z                 }
2022-11-23T02:04:40.2669301Z             }
2022-11-23T02:04:40.2669377Z         }
2022-11-23T02:04:40.2669472Z     }
2022-11-23T02:04:40.2669566Z }
2022-11-23T02:04:40.2669691Z ''')
2022-11-23T02:04:40.2669710Z 
2022-11-23T02:04:40.2669730Z 
2022-11-23T02:04:40.2669863Z async_compile.wait(globals())
2022-11-23T02:04:40.2670022Z del async_compile
2022-11-23T02:04:40.2670043Z 
2022-11-23T02:04:40.2670155Z def call(args):
2022-11-23T02:04:40.2670249Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2670357Z     args.clear()
2022-11-23T02:04:40.2670646Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2670876Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2670980Z     del arg0_1
2022-11-23T02:04:40.2671082Z     del arg1_1
2022-11-23T02:04:40.2671190Z     return (buf0, )
2022-11-23T02:04:40.2671209Z 
2022-11-23T02:04:40.2671227Z 
2022-11-23T02:04:40.2671344Z if __name__ == "__main__":
2022-11-23T02:04:40.2671492Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2671665Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2671949Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2672212Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:40.2672378Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2672398Z 
2022-11-23T02:04:40.2672499Z ok (2.578s)
2022-11-23T02:04:40.2672963Z   test_cpu_broadcast2_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:41,940] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2673391Z [2022-11-23 02:02:41,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2673671Z [2022-11-23 02:02:41,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2674018Z [2022-11-23 02:02:41,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2674394Z [2022-11-23 02:02:41,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2674828Z [2022-11-23 02:02:41,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2675287Z [2022-11-23 02:02:41,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2675716Z [2022-11-23 02:02:41,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2676223Z [2022-11-23 02:02:41,941] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2676427Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2676561Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2676671Z               4 BINARY_ADD
2022-11-23T02:04:40.2676785Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2676899Z               8 RETURN_VALUE
2022-11-23T02:04:40.2676993Z  
2022-11-23T02:04:40.2677013Z 
2022-11-23T02:04:40.2677439Z [2022-11-23 02:02:41,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2677727Z [2022-11-23 02:02:41,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2678051Z [2022-11-23 02:02:41,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2678419Z [2022-11-23 02:02:41,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2678750Z [2022-11-23 02:02:41,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2679068Z [2022-11-23 02:02:41,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2679635Z [2022-11-23 02:02:41,944] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2679976Z [2022-11-23 02:02:41,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2680296Z [2022-11-23 02:02:41,944] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2680640Z [2022-11-23 02:02:41,946] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2680978Z [2022-11-23 02:02:41,951] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2681243Z [2022-11-23 02:02:41,952] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2681433Z  __compiled_fn_407 <eval_with_key>.2921 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2681564Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2681676Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2681926Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2682063Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2682083Z 
2022-11-23T02:04:40.2682519Z [2022-11-23 02:02:41,953] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2682658Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2682791Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2682917Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2683052Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2683163Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2683293Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2683405Z              12 RETURN_VALUE
2022-11-23T02:04:40.2683424Z 
2022-11-23T02:04:40.2683517Z  
2022-11-23T02:04:40.2683949Z [2022-11-23 02:02:41,953] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2684109Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_407)
2022-11-23T02:04:40.2684240Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2684352Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2684468Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2684595Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2684721Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2684833Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2684963Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2685175Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2685321Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2685431Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2685548Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2685680Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2685793Z              26 RETURN_VALUE
2022-11-23T02:04:40.2685813Z 
2022-11-23T02:04:40.2685906Z  
2022-11-23T02:04:40.2686168Z [2022-11-23 02:02:41,954] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2686274Z  - 
2022-11-23T02:04:40.2686422Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2686520Z             {
2022-11-23T02:04:40.2686716Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2686972Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2687141Z                 'obj_weakref': None
2022-11-23T02:04:40.2687454Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2687556Z             }
2022-11-23T02:04:40.2687633Z             
2022-11-23T02:04:40.2687742Z  - 
2022-11-23T02:04:40.2687973Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2688074Z             {
2022-11-23T02:04:40.2688277Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2688434Z                 'code': None,
2022-11-23T02:04:40.2688723Z                 'obj_weakref': <weakref at 0x7fa51c277a10; to 'Tensor' at 0x7fa550080950>
2022-11-23T02:04:40.2689118Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2689218Z             }
2022-11-23T02:04:40.2689314Z             
2022-11-23T02:04:40.2689424Z  - 
2022-11-23T02:04:40.2689598Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2689693Z             {
2022-11-23T02:04:40.2689901Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2690035Z                 'code': None,
2022-11-23T02:04:40.2690317Z                 'obj_weakref': <weakref at 0x7fa51c276110; to 'Tensor' at 0x7fa5321c1cb0>
2022-11-23T02:04:40.2690667Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2690769Z             }
2022-11-23T02:04:40.2690865Z             
2022-11-23T02:04:40.2690971Z  - 
2022-11-23T02:04:40.2691154Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2691231Z             {
2022-11-23T02:04:40.2691421Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2691653Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2691824Z                 'obj_weakref': None
2022-11-23T02:04:40.2692134Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2692231Z             }
2022-11-23T02:04:40.2692334Z             
2022-11-23T02:04:40.2692421Z  - 
2022-11-23T02:04:40.2692592Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2692689Z             {
2022-11-23T02:04:40.2692885Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2693182Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2693356Z                 'obj_weakref': None
2022-11-23T02:04:40.2693663Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2693743Z             }
2022-11-23T02:04:40.2693843Z             
2022-11-23T02:04:40.2694196Z [2022-11-23 02:02:41,963] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 399
2022-11-23T02:04:40.2694759Z [2022-11-23 02:02:44,588] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/il/cilhpgnxeqizzjghjoffkeorlf7mtso4l2nhzt5vy4bdxg2iiaa5.py
2022-11-23T02:04:40.2695119Z [2022-11-23 02:02:44,589] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 399
2022-11-23T02:04:40.2695219Z 
2022-11-23T02:04:40.2695362Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2695467Z import torch
2022-11-23T02:04:40.2695572Z import random
2022-11-23T02:04:40.2695720Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2695893Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2695913Z 
2022-11-23T02:04:40.2696486Z aten = torch.ops.aten
2022-11-23T02:04:40.2696856Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2697052Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2697079Z 
2022-11-23T02:04:40.2697104Z 
2022-11-23T02:04:40.2697343Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2697623Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2697791Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2697929Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2698072Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2698162Z {
2022-11-23T02:04:40.2698304Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2698398Z     {
2022-11-23T02:04:40.2698690Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.2698823Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.2698899Z         {
2022-11-23T02:04:40.2699026Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.2699123Z             {
2022-11-23T02:04:40.2699221Z                 {
2022-11-23T02:04:40.2699321Z                     {
2022-11-23T02:04:40.2699461Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.2699616Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T02:04:40.2699733Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2699869Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.2699974Z                     }
2022-11-23T02:04:40.2700072Z                 }
2022-11-23T02:04:40.2700168Z             }
2022-11-23T02:04:40.2700260Z         }
2022-11-23T02:04:40.2700335Z     }
2022-11-23T02:04:40.2700425Z }
2022-11-23T02:04:40.2700613Z ''')
2022-11-23T02:04:40.2700633Z 
2022-11-23T02:04:40.2700656Z 
2022-11-23T02:04:40.2700787Z async_compile.wait(globals())
2022-11-23T02:04:40.2700896Z del async_compile
2022-11-23T02:04:40.2700915Z 
2022-11-23T02:04:40.2701020Z def call(args):
2022-11-23T02:04:40.2701135Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2701243Z     args.clear()
2022-11-23T02:04:40.2701512Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2701743Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2701846Z     del arg0_1
2022-11-23T02:04:40.2701943Z     del arg1_1
2022-11-23T02:04:40.2702049Z     return (buf0, )
2022-11-23T02:04:40.2702068Z 
2022-11-23T02:04:40.2702091Z 
2022-11-23T02:04:40.2702205Z if __name__ == "__main__":
2022-11-23T02:04:40.2702367Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2702523Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2702809Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2703080Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2703243Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2703263Z 
2022-11-23T02:04:40.2703364Z ok (2.657s)
2022-11-23T02:04:40.2703833Z   test_cpu_broadcast2_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:44,596] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2704258Z [2022-11-23 02:02:44,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2704641Z [2022-11-23 02:02:44,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2704987Z [2022-11-23 02:02:44,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2705346Z [2022-11-23 02:02:44,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2705780Z [2022-11-23 02:02:44,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2706242Z [2022-11-23 02:02:44,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2706672Z [2022-11-23 02:02:44,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2707238Z [2022-11-23 02:02:44,598] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2707381Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2707633Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2707750Z               4 BINARY_ADD
2022-11-23T02:04:40.2707879Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2707973Z               8 RETURN_VALUE
2022-11-23T02:04:40.2708065Z  
2022-11-23T02:04:40.2708085Z 
2022-11-23T02:04:40.2708510Z [2022-11-23 02:02:44,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2708793Z [2022-11-23 02:02:44,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2709118Z [2022-11-23 02:02:44,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2709490Z [2022-11-23 02:02:44,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2709823Z [2022-11-23 02:02:44,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2710159Z [2022-11-23 02:02:44,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2710670Z [2022-11-23 02:02:44,600] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2711000Z [2022-11-23 02:02:44,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2711302Z [2022-11-23 02:02:44,601] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2711644Z [2022-11-23 02:02:44,602] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2711983Z [2022-11-23 02:02:44,608] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2712246Z [2022-11-23 02:02:44,609] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2712438Z  __compiled_fn_408 <eval_with_key>.2927 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2712569Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2712697Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2712945Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2713064Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2713084Z 
2022-11-23T02:04:40.2713517Z [2022-11-23 02:02:44,609] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2713653Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2713784Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2713976Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2714111Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2714236Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2714367Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2714467Z              12 RETURN_VALUE
2022-11-23T02:04:40.2714487Z 
2022-11-23T02:04:40.2714580Z  
2022-11-23T02:04:40.2715010Z [2022-11-23 02:02:44,609] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2715167Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_408)
2022-11-23T02:04:40.2715298Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2715429Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2715543Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2715653Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2715781Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2715902Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2716033Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2716182Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2716378Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2716515Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2716609Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2716737Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2716847Z              26 RETURN_VALUE
2022-11-23T02:04:40.2716867Z 
2022-11-23T02:04:40.2716960Z  
2022-11-23T02:04:40.2717223Z [2022-11-23 02:02:44,611] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2717330Z  - 
2022-11-23T02:04:40.2717499Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2717577Z             {
2022-11-23T02:04:40.2725479Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2725874Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2726043Z                 'obj_weakref': None
2022-11-23T02:04:40.2726366Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2726473Z             }
2022-11-23T02:04:40.2726580Z             
2022-11-23T02:04:40.2726691Z  - 
2022-11-23T02:04:40.2726876Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2726978Z             {
2022-11-23T02:04:40.2727164Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2727321Z                 'code': None,
2022-11-23T02:04:40.2727613Z                 'obj_weakref': <weakref at 0x7fa51c203920; to 'Tensor' at 0x7fa550080950>
2022-11-23T02:04:40.2727959Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2728060Z             }
2022-11-23T02:04:40.2728163Z             
2022-11-23T02:04:40.2728272Z  - 
2022-11-23T02:04:40.2728434Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2728538Z             {
2022-11-23T02:04:40.2728746Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2728905Z                 'code': None,
2022-11-23T02:04:40.2729195Z                 'obj_weakref': <weakref at 0x7fa51c200810; to 'Tensor' at 0x7fa62380dee0>
2022-11-23T02:04:40.2729540Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2729644Z             }
2022-11-23T02:04:40.2729720Z             
2022-11-23T02:04:40.2729831Z  - 
2022-11-23T02:04:40.2730026Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2730128Z             {
2022-11-23T02:04:40.2730319Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2730562Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2730737Z                 'obj_weakref': None
2022-11-23T02:04:40.2731034Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2731353Z             }
2022-11-23T02:04:40.2731452Z             
2022-11-23T02:04:40.2731566Z  - 
2022-11-23T02:04:40.2731744Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2731845Z             {
2022-11-23T02:04:40.2732046Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2732325Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2732499Z                 'obj_weakref': None
2022-11-23T02:04:40.2732812Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2732912Z             }
2022-11-23T02:04:40.2733013Z             
2022-11-23T02:04:40.2733373Z [2022-11-23 02:02:44,620] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 400
2022-11-23T02:04:40.2733867Z [2022-11-23 02:02:44,636] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yy/cyyypuamm5y2hmnilt5c3sa4z43nx7ohfq4b5gd7blzbg6bh2ary.py
2022-11-23T02:04:40.2734237Z [2022-11-23 02:02:44,636] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 400
2022-11-23T02:04:40.2734261Z 
2022-11-23T02:04:40.2734446Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2734560Z import torch
2022-11-23T02:04:40.2734671Z import random
2022-11-23T02:04:40.2734842Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2735016Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2735036Z 
2022-11-23T02:04:40.2735155Z aten = torch.ops.aten
2022-11-23T02:04:40.2735348Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2735464Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2735509Z 
2022-11-23T02:04:40.2735528Z 
2022-11-23T02:04:40.2735704Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2735990Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2737113Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2737364Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2737603Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2737756Z {
2022-11-23T02:04:40.2738002Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2738132Z     {
2022-11-23T02:04:40.2738319Z         #pragma omp for 
2022-11-23T02:04:40.2738515Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.2738621Z         {
2022-11-23T02:04:40.2738747Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:40.2738849Z             {
2022-11-23T02:04:40.2739083Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i1);
2022-11-23T02:04:40.2739262Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (10*i0));
2022-11-23T02:04:40.2739400Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2739556Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T02:04:40.2739663Z             }
2022-11-23T02:04:40.2739802Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:40.2739929Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T02:04:40.2740028Z             {
2022-11-23T02:04:40.2740136Z                 auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:40.2740280Z                 auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T02:04:40.2740409Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2740548Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.2740646Z             }
2022-11-23T02:04:40.2740749Z         }
2022-11-23T02:04:40.2740848Z     }
2022-11-23T02:04:40.2740920Z }
2022-11-23T02:04:40.2741072Z ''')
2022-11-23T02:04:40.2741091Z 
2022-11-23T02:04:40.2741110Z 
2022-11-23T02:04:40.2741249Z async_compile.wait(globals())
2022-11-23T02:04:40.2741366Z del async_compile
2022-11-23T02:04:40.2741385Z 
2022-11-23T02:04:40.2741494Z def call(args):
2022-11-23T02:04:40.2741612Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2741903Z     args.clear()
2022-11-23T02:04:40.2742197Z     buf0 = empty_strided((1, 10, 10), (100, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2742407Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2742516Z     del arg0_1
2022-11-23T02:04:40.2742626Z     del arg1_1
2022-11-23T02:04:40.2742735Z     return (buf0, )
2022-11-23T02:04:40.2742755Z 
2022-11-23T02:04:40.2742773Z 
2022-11-23T02:04:40.2742888Z if __name__ == "__main__":
2022-11-23T02:04:40.2743052Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2743232Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2743500Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2743775Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2743944Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2743968Z 
2022-11-23T02:04:40.2744073Z ok (0.047s)
2022-11-23T02:04:40.2744545Z   test_cpu_broadcast3_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:44,643] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2745059Z [2022-11-23 02:02:44,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2745370Z [2022-11-23 02:02:44,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2745714Z [2022-11-23 02:02:44,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2746094Z [2022-11-23 02:02:44,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2746526Z [2022-11-23 02:02:44,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2746972Z [2022-11-23 02:02:44,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2747410Z [2022-11-23 02:02:44,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2747921Z [2022-11-23 02:02:44,644] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2748060Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2748196Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2748313Z               4 BINARY_ADD
2022-11-23T02:04:40.2748444Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2748561Z               8 RETURN_VALUE
2022-11-23T02:04:40.2748635Z  
2022-11-23T02:04:40.2748658Z 
2022-11-23T02:04:40.2749088Z [2022-11-23 02:02:44,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2749382Z [2022-11-23 02:02:44,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2749708Z [2022-11-23 02:02:44,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2750078Z [2022-11-23 02:02:44,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2750405Z [2022-11-23 02:02:44,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2750738Z [2022-11-23 02:02:44,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2751249Z [2022-11-23 02:02:44,647] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2751655Z [2022-11-23 02:02:44,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2751981Z [2022-11-23 02:02:44,647] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2752308Z [2022-11-23 02:02:44,649] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2752659Z [2022-11-23 02:02:44,653] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2752926Z [2022-11-23 02:02:44,654] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2753118Z  __compiled_fn_409 <eval_with_key>.2933 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2753251Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2753382Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2753635Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2753783Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2753803Z 
2022-11-23T02:04:40.2754215Z [2022-11-23 02:02:44,655] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2754413Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2754559Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2754689Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2754828Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2754955Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2755086Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2755179Z              12 RETURN_VALUE
2022-11-23T02:04:40.2755219Z 
2022-11-23T02:04:40.2755294Z  
2022-11-23T02:04:40.2755732Z [2022-11-23 02:02:44,655] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2755899Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_409)
2022-11-23T02:04:40.2756034Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2756168Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2756289Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2756420Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2756531Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2756662Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2756795Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2756950Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2757105Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2757216Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2757335Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2757469Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2757591Z              26 RETURN_VALUE
2022-11-23T02:04:40.2757613Z 
2022-11-23T02:04:40.2757710Z  
2022-11-23T02:04:40.2757980Z [2022-11-23 02:02:44,656] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2758095Z  - 
2022-11-23T02:04:40.2758245Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2758352Z             {
2022-11-23T02:04:40.2758559Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2758821Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2758998Z                 'obj_weakref': None
2022-11-23T02:04:40.2759311Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2759414Z             }
2022-11-23T02:04:40.2759497Z             
2022-11-23T02:04:40.2759608Z  - 
2022-11-23T02:04:40.2759791Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2759893Z             {
2022-11-23T02:04:40.2760095Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2760340Z                 'code': None,
2022-11-23T02:04:40.2760630Z                 'obj_weakref': <weakref at 0x7fa5042fdcb0; to 'Tensor' at 0x7fa550080950>
2022-11-23T02:04:40.2760956Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2761062Z             }
2022-11-23T02:04:40.2761161Z             
2022-11-23T02:04:40.2761270Z  - 
2022-11-23T02:04:40.2761448Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2761553Z             {
2022-11-23T02:04:40.2761754Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2761887Z                 'code': None,
2022-11-23T02:04:40.2762175Z                 'obj_weakref': <weakref at 0x7fa5501e64d0; to 'Tensor' at 0x7fa62380de90>
2022-11-23T02:04:40.2762521Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2762623Z             }
2022-11-23T02:04:40.2762727Z             
2022-11-23T02:04:40.2762836Z  - 
2022-11-23T02:04:40.2763027Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2763105Z             {
2022-11-23T02:04:40.2763299Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2763608Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2763792Z                 'obj_weakref': None
2022-11-23T02:04:40.2764106Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2764211Z             }
2022-11-23T02:04:40.2764312Z             
2022-11-23T02:04:40.2764398Z  - 
2022-11-23T02:04:40.2764573Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2764673Z             {
2022-11-23T02:04:40.2764868Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2765165Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2765339Z                 'obj_weakref': None
2022-11-23T02:04:40.2765648Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2765726Z             }
2022-11-23T02:04:40.2765827Z             
2022-11-23T02:04:40.2766189Z [2022-11-23 02:02:44,664] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 401
2022-11-23T02:04:40.2766685Z [2022-11-23 02:02:47,292] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/af/cafududddiepw65msut27dzrh27pzkdocj2377wqukhq34t3z7ez.py
2022-11-23T02:04:40.2767043Z [2022-11-23 02:02:47,293] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 401
2022-11-23T02:04:40.2767064Z 
2022-11-23T02:04:40.2767204Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2767315Z import torch
2022-11-23T02:04:40.2767427Z import random
2022-11-23T02:04:40.2767571Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2767748Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2767771Z 
2022-11-23T02:04:40.2767893Z aten = torch.ops.aten
2022-11-23T02:04:40.2768087Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2768226Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2768245Z 
2022-11-23T02:04:40.2768264Z 
2022-11-23T02:04:40.2768465Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2768757Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2768931Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2769062Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2769212Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2769313Z {
2022-11-23T02:04:40.2769463Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2769564Z     {
2022-11-23T02:04:40.2769687Z         #pragma omp for 
2022-11-23T02:04:40.2769818Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:40.2769966Z         {
2022-11-23T02:04:40.2770160Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T02:04:40.2770349Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.2770480Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2770619Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.2770720Z         }
2022-11-23T02:04:40.2770863Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.2770968Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:40.2771068Z         {
2022-11-23T02:04:40.2771195Z             auto tmp0 = in_ptr0[0];
2022-11-23T02:04:40.2771326Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.2771449Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2771571Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.2771671Z         }
2022-11-23T02:04:40.2771745Z     }
2022-11-23T02:04:40.2771838Z }
2022-11-23T02:04:40.2771973Z ''')
2022-11-23T02:04:40.2771992Z 
2022-11-23T02:04:40.2772011Z 
2022-11-23T02:04:40.2772155Z async_compile.wait(globals())
2022-11-23T02:04:40.2772267Z del async_compile
2022-11-23T02:04:40.2772287Z 
2022-11-23T02:04:40.2772400Z def call(args):
2022-11-23T02:04:40.2772518Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2772606Z     args.clear()
2022-11-23T02:04:40.2772938Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2773178Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2773290Z     del arg0_1
2022-11-23T02:04:40.2773394Z     del arg1_1
2022-11-23T02:04:40.2773508Z     return (buf0, )
2022-11-23T02:04:40.2773527Z 
2022-11-23T02:04:40.2773546Z 
2022-11-23T02:04:40.2773669Z if __name__ == "__main__":
2022-11-23T02:04:40.2773839Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2773996Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2774269Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2774546Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2774711Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2774730Z 
2022-11-23T02:04:40.2774837Z ok (2.656s)
2022-11-23T02:04:40.2775311Z   test_cpu_broadcast3_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:47,300] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2775737Z [2022-11-23 02:02:47,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2776560Z [2022-11-23 02:02:47,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2777199Z [2022-11-23 02:02:47,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2777832Z [2022-11-23 02:02:47,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2778469Z [2022-11-23 02:02:47,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2778957Z [2022-11-23 02:02:47,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2779396Z [2022-11-23 02:02:47,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2779916Z [2022-11-23 02:02:47,301] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2780053Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2780192Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2780308Z               4 BINARY_ADD
2022-11-23T02:04:40.2780605Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2780699Z               8 RETURN_VALUE
2022-11-23T02:04:40.2780796Z  
2022-11-23T02:04:40.2780821Z 
2022-11-23T02:04:40.2781254Z [2022-11-23 02:02:47,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2781546Z [2022-11-23 02:02:47,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2781870Z [2022-11-23 02:02:47,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2782242Z [2022-11-23 02:02:47,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2782571Z [2022-11-23 02:02:47,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2782915Z [2022-11-23 02:02:47,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2783443Z [2022-11-23 02:02:47,304] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2783836Z [2022-11-23 02:02:47,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2784170Z [2022-11-23 02:02:47,304] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2784520Z [2022-11-23 02:02:47,306] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2784861Z [2022-11-23 02:02:47,311] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2785123Z [2022-11-23 02:02:47,311] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2785315Z  __compiled_fn_410 <eval_with_key>.2939 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2785454Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2785589Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2785818Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2785966Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2785990Z 
2022-11-23T02:04:40.2786431Z [2022-11-23 02:02:47,312] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2786572Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2786714Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2786850Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2786990Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2787118Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2787228Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2787346Z              12 RETURN_VALUE
2022-11-23T02:04:40.2787369Z 
2022-11-23T02:04:40.2787469Z  
2022-11-23T02:04:40.2787901Z [2022-11-23 02:02:47,312] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2788064Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_410)
2022-11-23T02:04:40.2788200Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2788337Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2788462Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2788571Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2788702Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2788818Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2788952Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2789156Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2789311Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2789526Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2789620Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2789755Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2789875Z              26 RETURN_VALUE
2022-11-23T02:04:40.2789896Z 
2022-11-23T02:04:40.2789991Z  
2022-11-23T02:04:40.2790258Z [2022-11-23 02:02:47,313] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2790372Z  - 
2022-11-23T02:04:40.2790541Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2790621Z             {
2022-11-23T02:04:40.2790826Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2791094Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2791269Z                 'obj_weakref': None
2022-11-23T02:04:40.2791578Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2791680Z             }
2022-11-23T02:04:40.2791781Z             
2022-11-23T02:04:40.2791873Z  - 
2022-11-23T02:04:40.2792060Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2792159Z             {
2022-11-23T02:04:40.2792358Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2792515Z                 'code': None,
2022-11-23T02:04:40.2792859Z                 'obj_weakref': <weakref at 0x7fa5322ef240; to 'Tensor' at 0x7fa550080950>
2022-11-23T02:04:40.2793221Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2793298Z             }
2022-11-23T02:04:40.2793401Z             
2022-11-23T02:04:40.2793511Z  - 
2022-11-23T02:04:40.2793687Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2793788Z             {
2022-11-23T02:04:40.2793996Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2794154Z                 'code': None,
2022-11-23T02:04:40.2794416Z                 'obj_weakref': <weakref at 0x7fa52467f600; to 'Tensor' at 0x7fa62380de90>
2022-11-23T02:04:40.2794761Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2794859Z             }
2022-11-23T02:04:40.2794961Z             
2022-11-23T02:04:40.2795070Z  - 
2022-11-23T02:04:40.2795266Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2795365Z             {
2022-11-23T02:04:40.2795533Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2795771Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2795941Z                 'obj_weakref': None
2022-11-23T02:04:40.2796252Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2796355Z             }
2022-11-23T02:04:40.2796455Z             
2022-11-23T02:04:40.2796565Z  - 
2022-11-23T02:04:40.2796719Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2796816Z             {
2022-11-23T02:04:40.2797014Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2797323Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2797496Z                 'obj_weakref': None
2022-11-23T02:04:40.2797806Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2797911Z             }
2022-11-23T02:04:40.2797987Z             
2022-11-23T02:04:40.2798345Z [2022-11-23 02:02:47,322] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 402
2022-11-23T02:04:40.2798843Z [2022-11-23 02:02:47,336] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pv/cpvv3kl4enunpvtaftzf4mg33kbkantpzgvqvtrcdkqgxmhgxzi2.py
2022-11-23T02:04:40.2799205Z [2022-11-23 02:02:47,336] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 402
2022-11-23T02:04:40.2799225Z 
2022-11-23T02:04:40.2799364Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2799476Z import torch
2022-11-23T02:04:40.2799672Z import random
2022-11-23T02:04:40.2799842Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2799995Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2800038Z 
2022-11-23T02:04:40.2800184Z aten = torch.ops.aten
2022-11-23T02:04:40.2800380Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2800521Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2800540Z 
2022-11-23T02:04:40.2800559Z 
2022-11-23T02:04:40.2800756Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2801034Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2801207Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2801361Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2801514Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2801591Z {
2022-11-23T02:04:40.2801734Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2801838Z     {
2022-11-23T02:04:40.2801960Z         #pragma omp for 
2022-11-23T02:04:40.2802083Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T02:04:40.2802186Z         {
2022-11-23T02:04:40.2802363Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T02:04:40.2802611Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.2802749Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2802884Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.2802987Z         }
2022-11-23T02:04:40.2803133Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.2803258Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T02:04:40.2803335Z         {
2022-11-23T02:04:40.2803459Z             auto tmp0 = in_ptr0[0];
2022-11-23T02:04:40.2803583Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.2803716Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2803839Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.2803942Z         }
2022-11-23T02:04:40.2804037Z     }
2022-11-23T02:04:40.2804111Z }
2022-11-23T02:04:40.2804241Z ''')
2022-11-23T02:04:40.2804260Z 
2022-11-23T02:04:40.2804279Z 
2022-11-23T02:04:40.2804416Z async_compile.wait(globals())
2022-11-23T02:04:40.2804528Z del async_compile
2022-11-23T02:04:40.2804552Z 
2022-11-23T02:04:40.2804662Z def call(args):
2022-11-23T02:04:40.2804779Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2804892Z     args.clear()
2022-11-23T02:04:40.2805160Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2805392Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2805506Z     del arg0_1
2022-11-23T02:04:40.2805611Z     del arg1_1
2022-11-23T02:04:40.2805729Z     return (buf0, )
2022-11-23T02:04:40.2805749Z 
2022-11-23T02:04:40.2805767Z 
2022-11-23T02:04:40.2805888Z if __name__ == "__main__":
2022-11-23T02:04:40.2806054Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2806238Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2806488Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2806777Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2806947Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2806966Z 
2022-11-23T02:04:40.2807073Z ok (0.044s)
2022-11-23T02:04:40.2807549Z   test_cpu_broadcast3_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:47,343] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2807984Z [2022-11-23 02:02:47,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2808300Z [2022-11-23 02:02:47,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2808650Z [2022-11-23 02:02:47,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2809113Z [2022-11-23 02:02:47,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2809524Z [2022-11-23 02:02:47,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2809992Z [2022-11-23 02:02:47,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2810431Z [2022-11-23 02:02:47,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2810940Z [2022-11-23 02:02:47,344] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2811085Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2811221Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2811332Z               4 BINARY_ADD
2022-11-23T02:04:40.2811466Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2811633Z               8 RETURN_VALUE
2022-11-23T02:04:40.2811713Z  
2022-11-23T02:04:40.2811733Z 
2022-11-23T02:04:40.2812161Z [2022-11-23 02:02:47,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2812453Z [2022-11-23 02:02:47,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2812780Z [2022-11-23 02:02:47,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2813155Z [2022-11-23 02:02:47,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2813490Z [2022-11-23 02:02:47,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2813819Z [2022-11-23 02:02:47,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2814338Z [2022-11-23 02:02:47,347] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2814680Z [2022-11-23 02:02:47,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2815007Z [2022-11-23 02:02:47,347] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2815335Z [2022-11-23 02:02:47,349] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2815672Z [2022-11-23 02:02:47,354] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2815952Z [2022-11-23 02:02:47,354] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2816732Z  __compiled_fn_411 <eval_with_key>.2945 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2816958Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2817181Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2817624Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2817831Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2817892Z 
2022-11-23T02:04:40.2818397Z [2022-11-23 02:02:47,355] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2818543Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2818680Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2818814Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2818954Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2819237Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2819371Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2819464Z              12 RETURN_VALUE
2022-11-23T02:04:40.2819508Z 
2022-11-23T02:04:40.2819584Z  
2022-11-23T02:04:40.2820035Z [2022-11-23 02:02:47,355] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2820197Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_411)
2022-11-23T02:04:40.2820332Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2820471Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2820593Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2820728Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2820838Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2820961Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2821096Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2821262Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2821416Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2821553Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2821743Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2821861Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2821979Z              26 RETURN_VALUE
2022-11-23T02:04:40.2821999Z 
2022-11-23T02:04:40.2822099Z  
2022-11-23T02:04:40.2822360Z [2022-11-23 02:02:47,356] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2822470Z  - 
2022-11-23T02:04:40.2822642Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2822745Z             {
2022-11-23T02:04:40.2822923Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2823187Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2823358Z                 'obj_weakref': None
2022-11-23T02:04:40.2823679Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2823782Z             }
2022-11-23T02:04:40.2823886Z             
2022-11-23T02:04:40.2823993Z  - 
2022-11-23T02:04:40.2824150Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2824255Z             {
2022-11-23T02:04:40.2824459Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2824615Z                 'code': None,
2022-11-23T02:04:40.2824914Z                 'obj_weakref': <weakref at 0x7fa5322274c0; to 'Tensor' at 0x7fa531f30bd0>
2022-11-23T02:04:40.2825261Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2825363Z             }
2022-11-23T02:04:40.2825441Z             
2022-11-23T02:04:40.2825555Z  - 
2022-11-23T02:04:40.2825734Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2825834Z             {
2022-11-23T02:04:40.2826042Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2826205Z                 'code': None,
2022-11-23T02:04:40.2826493Z                 'obj_weakref': <weakref at 0x7fa5042fd620; to 'Tensor' at 0x7fa550082390>
2022-11-23T02:04:40.2826816Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2826919Z             }
2022-11-23T02:04:40.2827025Z             
2022-11-23T02:04:40.2827134Z  - 
2022-11-23T02:04:40.2827326Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2827430Z             {
2022-11-23T02:04:40.2827625Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2827838Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2828010Z                 'obj_weakref': None
2022-11-23T02:04:40.2828324Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2828429Z             }
2022-11-23T02:04:40.2828529Z             
2022-11-23T02:04:40.2828703Z  - 
2022-11-23T02:04:40.2828884Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2828960Z             {
2022-11-23T02:04:40.2829150Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2829454Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2829626Z                 'obj_weakref': None
2022-11-23T02:04:40.2829930Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2830033Z             }
2022-11-23T02:04:40.2830136Z             
2022-11-23T02:04:40.2830472Z [2022-11-23 02:02:47,365] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 403
2022-11-23T02:04:40.2830964Z [2022-11-23 02:02:49,964] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lm/clmh734xjfadt5e3yul2rpclhlxk37gld7qoap3yz5biqttom4eu.py
2022-11-23T02:04:40.2831325Z [2022-11-23 02:02:49,965] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 403
2022-11-23T02:04:40.2831349Z 
2022-11-23T02:04:40.2831493Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2831604Z import torch
2022-11-23T02:04:40.2831713Z import random
2022-11-23T02:04:40.2831932Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2832113Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2832133Z 
2022-11-23T02:04:40.2832253Z aten = torch.ops.aten
2022-11-23T02:04:40.2832422Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2832559Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2832578Z 
2022-11-23T02:04:40.2832597Z 
2022-11-23T02:04:40.2832797Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2833091Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2833268Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2833423Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2833577Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2833678Z {
2022-11-23T02:04:40.2833753Z     {
2022-11-23T02:04:40.2833852Z         {
2022-11-23T02:04:40.2833983Z             auto tmp0 = in_ptr0[0];
2022-11-23T02:04:40.2834117Z             auto tmp1 = in_ptr1[0];
2022-11-23T02:04:40.2834250Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2834371Z             out_ptr0[0] = tmp2;
2022-11-23T02:04:40.2834445Z         }
2022-11-23T02:04:40.2834542Z     }
2022-11-23T02:04:40.2834637Z }
2022-11-23T02:04:40.2834759Z ''')
2022-11-23T02:04:40.2834779Z 
2022-11-23T02:04:40.2834799Z 
2022-11-23T02:04:40.2834933Z async_compile.wait(globals())
2022-11-23T02:04:40.2835046Z del async_compile
2022-11-23T02:04:40.2835066Z 
2022-11-23T02:04:40.2835176Z def call(args):
2022-11-23T02:04:40.2835271Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2835382Z     args.clear()
2022-11-23T02:04:40.2835651Z     buf0 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2835889Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2835999Z     del arg0_1
2022-11-23T02:04:40.2836102Z     del arg1_1
2022-11-23T02:04:40.2836218Z     return (buf0, )
2022-11-23T02:04:40.2836237Z 
2022-11-23T02:04:40.2836255Z 
2022-11-23T02:04:40.2836372Z if __name__ == "__main__":
2022-11-23T02:04:40.2836517Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2836702Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2836971Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2837245Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2837413Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2837432Z 
2022-11-23T02:04:40.2837538Z ok (2.628s)
2022-11-23T02:04:40.2838004Z   test_cpu_broadcast3_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:49,971] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2838509Z [2022-11-23 02:02:49,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2838789Z [2022-11-23 02:02:49,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2839143Z [2022-11-23 02:02:49,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2839521Z [2022-11-23 02:02:49,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2839954Z [2022-11-23 02:02:49,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2840421Z [2022-11-23 02:02:49,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2840856Z [2022-11-23 02:02:49,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2841413Z [2022-11-23 02:02:49,972] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2841557Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2841693Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2841808Z               4 BINARY_ADD
2022-11-23T02:04:40.2841917Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2842035Z               8 RETURN_VALUE
2022-11-23T02:04:40.2842135Z  
2022-11-23T02:04:40.2842154Z 
2022-11-23T02:04:40.2842583Z [2022-11-23 02:02:49,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2842878Z [2022-11-23 02:02:49,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2843206Z [2022-11-23 02:02:49,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2843582Z [2022-11-23 02:02:49,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2843916Z [2022-11-23 02:02:49,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2844228Z [2022-11-23 02:02:49,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2844741Z [2022-11-23 02:02:49,975] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2845072Z [2022-11-23 02:02:49,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2845399Z [2022-11-23 02:02:49,976] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2845751Z [2022-11-23 02:02:49,977] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2846098Z [2022-11-23 02:02:49,982] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2846367Z [2022-11-23 02:02:49,983] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2846564Z  __compiled_fn_412 <eval_with_key>.2951 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2846698Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2846806Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2847060Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2847200Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2847219Z 
2022-11-23T02:04:40.2847733Z [2022-11-23 02:02:49,983] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2847874Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2848017Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2848153Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2848294Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2848399Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2848536Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2848652Z              12 RETURN_VALUE
2022-11-23T02:04:40.2848673Z 
2022-11-23T02:04:40.2848769Z  
2022-11-23T02:04:40.2849214Z [2022-11-23 02:02:49,983] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2849380Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_412)
2022-11-23T02:04:40.2849521Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2849653Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2849749Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2849881Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2850075Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2850201Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2850333Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2850492Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2850646Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2850756Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2850875Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2851005Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2851126Z              26 RETURN_VALUE
2022-11-23T02:04:40.2851145Z 
2022-11-23T02:04:40.2851247Z  
2022-11-23T02:04:40.2851509Z [2022-11-23 02:02:49,985] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2851626Z  - 
2022-11-23T02:04:40.2851776Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2851878Z             {
2022-11-23T02:04:40.2852079Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2852339Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2852518Z                 'obj_weakref': None
2022-11-23T02:04:40.2852837Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2852937Z             }
2022-11-23T02:04:40.2853014Z             
2022-11-23T02:04:40.2853128Z  - 
2022-11-23T02:04:40.2853312Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2853419Z             {
2022-11-23T02:04:40.2853695Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2853854Z                 'code': None,
2022-11-23T02:04:40.2854144Z                 'obj_weakref': <weakref at 0x7fa51c274040; to 'Tensor' at 0x7fa550080950>
2022-11-23T02:04:40.2854472Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2854579Z             }
2022-11-23T02:04:40.2854677Z             
2022-11-23T02:04:40.2854789Z  - 
2022-11-23T02:04:40.2854966Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2855071Z             {
2022-11-23T02:04:40.2855277Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2855416Z                 'code': None,
2022-11-23T02:04:40.2855705Z                 'obj_weakref': <weakref at 0x7fa51c275c10; to 'Tensor' at 0x7fa62380e020>
2022-11-23T02:04:40.2856531Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2856712Z             }
2022-11-23T02:04:40.2856865Z             
2022-11-23T02:04:40.2857071Z  - 
2022-11-23T02:04:40.2857389Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2857758Z             {
2022-11-23T02:04:40.2858099Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2858349Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2858521Z                 'obj_weakref': None
2022-11-23T02:04:40.2858848Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2858950Z             }
2022-11-23T02:04:40.2859053Z             
2022-11-23T02:04:40.2859139Z  - 
2022-11-23T02:04:40.2859314Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2859414Z             {
2022-11-23T02:04:40.2859611Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2859916Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2860088Z                 'obj_weakref': None
2022-11-23T02:04:40.2860397Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2860480Z             }
2022-11-23T02:04:40.2860587Z             
2022-11-23T02:04:40.2860942Z [2022-11-23 02:02:49,993] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 404
2022-11-23T02:04:40.2861527Z [2022-11-23 02:02:52,625] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qz/cqzlmdeyzkbwmu5rztnzfsj7micrjfoztgtjgsedsajx2333jq2v.py
2022-11-23T02:04:40.2861907Z [2022-11-23 02:02:52,625] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 404
2022-11-23T02:04:40.2861932Z 
2022-11-23T02:04:40.2862076Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2862186Z import torch
2022-11-23T02:04:40.2862296Z import random
2022-11-23T02:04:40.2862445Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2862623Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2862643Z 
2022-11-23T02:04:40.2862765Z aten = torch.ops.aten
2022-11-23T02:04:40.2862957Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2863099Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2863119Z 
2022-11-23T02:04:40.2863138Z 
2022-11-23T02:04:40.2863334Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2863624Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2863874Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2864006Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2864154Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2864251Z {
2022-11-23T02:04:40.2864394Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2864492Z     {
2022-11-23T02:04:40.2864616Z         #pragma omp for 
2022-11-23T02:04:40.2864741Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:40.2864818Z         {
2022-11-23T02:04:40.2865029Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T02:04:40.2865220Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.2865353Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2865488Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.2865588Z         }
2022-11-23T02:04:40.2865733Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.2865837Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T02:04:40.2865936Z         {
2022-11-23T02:04:40.2866063Z             auto tmp0 = in_ptr0[0];
2022-11-23T02:04:40.2866190Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.2866321Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2866443Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.2866543Z         }
2022-11-23T02:04:40.2866617Z     }
2022-11-23T02:04:40.2866717Z }
2022-11-23T02:04:40.2866842Z ''')
2022-11-23T02:04:40.2866862Z 
2022-11-23T02:04:40.2866880Z 
2022-11-23T02:04:40.2867018Z async_compile.wait(globals())
2022-11-23T02:04:40.2867132Z del async_compile
2022-11-23T02:04:40.2867151Z 
2022-11-23T02:04:40.2867418Z def call(args):
2022-11-23T02:04:40.2867541Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2867628Z     args.clear()
2022-11-23T02:04:40.2867912Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2868145Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2868254Z     del arg0_1
2022-11-23T02:04:40.2868361Z     del arg1_1
2022-11-23T02:04:40.2868475Z     return (buf0, )
2022-11-23T02:04:40.2868496Z 
2022-11-23T02:04:40.2868513Z 
2022-11-23T02:04:40.2868635Z if __name__ == "__main__":
2022-11-23T02:04:40.2868805Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2868959Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2869229Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2869506Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2869684Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2869703Z 
2022-11-23T02:04:40.2869812Z ok (2.660s)
2022-11-23T02:04:40.2870322Z   test_cpu_broadcast3_double (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:52,632] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2870761Z [2022-11-23 02:02:52,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2871068Z [2022-11-23 02:02:52,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2871418Z [2022-11-23 02:02:52,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2871774Z [2022-11-23 02:02:52,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2872206Z [2022-11-23 02:02:52,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2872673Z [2022-11-23 02:02:52,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2873112Z [2022-11-23 02:02:52,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2873620Z [2022-11-23 02:02:52,633] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2873760Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2873899Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2874014Z               4 BINARY_ADD
2022-11-23T02:04:40.2874147Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2874241Z               8 RETURN_VALUE
2022-11-23T02:04:40.2874343Z  
2022-11-23T02:04:40.2874362Z 
2022-11-23T02:04:40.2874786Z [2022-11-23 02:02:52,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2875083Z [2022-11-23 02:02:52,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2875412Z [2022-11-23 02:02:52,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2875788Z [2022-11-23 02:02:52,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2876116Z [2022-11-23 02:02:52,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2876455Z [2022-11-23 02:02:52,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2876978Z [2022-11-23 02:02:52,636] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2877351Z [2022-11-23 02:02:52,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2877682Z [2022-11-23 02:02:52,636] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2878029Z [2022-11-23 02:02:52,638] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2878376Z [2022-11-23 02:02:52,643] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2878636Z [2022-11-23 02:02:52,643] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2878894Z  __compiled_fn_413 <eval_with_key>.2957 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2879089Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2879222Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2879451Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2879594Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2879614Z 
2022-11-23T02:04:40.2880107Z [2022-11-23 02:02:52,644] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2880253Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2880393Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2880525Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2880668Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2880798Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2880908Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2881028Z              12 RETURN_VALUE
2022-11-23T02:04:40.2881048Z 
2022-11-23T02:04:40.2881150Z  
2022-11-23T02:04:40.2881590Z [2022-11-23 02:02:52,644] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2881761Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_413)
2022-11-23T02:04:40.2881899Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2882038Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2882157Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2882268Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2882406Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2882522Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2882655Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2882808Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2882960Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2883093Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2883187Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2883325Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2883440Z              26 RETURN_VALUE
2022-11-23T02:04:40.2883460Z 
2022-11-23T02:04:40.2883566Z  
2022-11-23T02:04:40.2883833Z [2022-11-23 02:02:52,645] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2883946Z  - 
2022-11-23T02:04:40.2884123Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2884204Z             {
2022-11-23T02:04:40.2884409Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2884671Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2884844Z                 'obj_weakref': None
2022-11-23T02:04:40.2885155Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2885259Z             }
2022-11-23T02:04:40.2885362Z             
2022-11-23T02:04:40.2885451Z  - 
2022-11-23T02:04:40.2885627Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2885727Z             {
2022-11-23T02:04:40.2886003Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2886161Z                 'code': None,
2022-11-23T02:04:40.2886454Z                 'obj_weakref': <weakref at 0x7fa51c2d8590; to 'Tensor' at 0x7fa524642070>
2022-11-23T02:04:40.2886805Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2886885Z             }
2022-11-23T02:04:40.2886985Z             
2022-11-23T02:04:40.2887091Z  - 
2022-11-23T02:04:40.2887273Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2887382Z             {
2022-11-23T02:04:40.2887587Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2887746Z                 'code': None,
2022-11-23T02:04:40.2888014Z                 'obj_weakref': <weakref at 0x7fa51c2da070; to 'Tensor' at 0x7fa62380e070>
2022-11-23T02:04:40.2888358Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2888461Z             }
2022-11-23T02:04:40.2888563Z             
2022-11-23T02:04:40.2888675Z  - 
2022-11-23T02:04:40.2888864Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2888967Z             {
2022-11-23T02:04:40.2889217Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2889526Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2889706Z                 'obj_weakref': None
2022-11-23T02:04:40.2890022Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2890123Z             }
2022-11-23T02:04:40.2890224Z             
2022-11-23T02:04:40.2890335Z  - 
2022-11-23T02:04:40.2890486Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2890587Z             {
2022-11-23T02:04:40.2890780Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2891079Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2891256Z                 'obj_weakref': None
2022-11-23T02:04:40.2891563Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2891668Z             }
2022-11-23T02:04:40.2891744Z             
2022-11-23T02:04:40.2892105Z [2022-11-23 02:02:52,654] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 405
2022-11-23T02:04:40.2892610Z [2022-11-23 02:02:55,275] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/py/cpyn6y4eimrhmgvj7cfdfj6zww5sdxadiql4ibfkeipxvg2rmuuk.py
2022-11-23T02:04:40.2892978Z [2022-11-23 02:02:55,275] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 405
2022-11-23T02:04:40.2893001Z 
2022-11-23T02:04:40.2893142Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2893252Z import torch
2022-11-23T02:04:40.2893361Z import random
2022-11-23T02:04:40.2893534Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2893691Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2893737Z 
2022-11-23T02:04:40.2893835Z aten = torch.ops.aten
2022-11-23T02:04:40.2894028Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2894167Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2894191Z 
2022-11-23T02:04:40.2894210Z 
2022-11-23T02:04:40.2894411Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2894696Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2894869Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2895030Z                        const double* __restrict__ in_ptr1,
2022-11-23T02:04:40.2895175Z                        double* __restrict__ out_ptr0)
2022-11-23T02:04:40.2895250Z {
2022-11-23T02:04:40.2895393Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2895496Z     {
2022-11-23T02:04:40.2895614Z         #pragma omp for 
2022-11-23T02:04:40.2895811Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T02:04:40.2895911Z         {
2022-11-23T02:04:40.2895990Z             {
2022-11-23T02:04:40.2896611Z                 {
2022-11-23T02:04:40.2896841Z                     auto tmp0 = in_ptr0[0];
2022-11-23T02:04:40.2897071Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T02:04:40.2897334Z                     auto tmp1 = static_cast<double>(tmp0);
2022-11-23T02:04:40.2897553Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:40.2897758Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:40.2897889Z                 }
2022-11-23T02:04:40.2898047Z             }
2022-11-23T02:04:40.2898165Z         }
2022-11-23T02:04:40.2898263Z     }
2022-11-23T02:04:40.2898360Z }
2022-11-23T02:04:40.2898506Z ''')
2022-11-23T02:04:40.2898529Z 
2022-11-23T02:04:40.2898547Z 
2022-11-23T02:04:40.2898688Z async_compile.wait(globals())
2022-11-23T02:04:40.2898776Z del async_compile
2022-11-23T02:04:40.2898797Z 
2022-11-23T02:04:40.2898909Z def call(args):
2022-11-23T02:04:40.2899035Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2899146Z     args.clear()
2022-11-23T02:04:40.2899426Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.2899789Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2899906Z     del arg0_1
2022-11-23T02:04:40.2899989Z     del arg1_1
2022-11-23T02:04:40.2900101Z     return (buf0, )
2022-11-23T02:04:40.2900121Z 
2022-11-23T02:04:40.2900139Z 
2022-11-23T02:04:40.2900257Z if __name__ == "__main__":
2022-11-23T02:04:40.2900428Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2900606Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2900886Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2901161Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.2901333Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2901355Z 
2022-11-23T02:04:40.2901438Z ok (2.650s)
2022-11-23T02:04:40.2901899Z   test_cpu_broadcast3_int (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:55,282] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2902332Z [2022-11-23 02:02:55,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2902634Z [2022-11-23 02:02:55,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2902982Z [2022-11-23 02:02:55,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2903356Z [2022-11-23 02:02:55,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2903791Z [2022-11-23 02:02:55,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2904260Z [2022-11-23 02:02:55,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2904699Z [2022-11-23 02:02:55,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2905207Z [2022-11-23 02:02:55,283] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2905349Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2905464Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2905579Z               4 BINARY_ADD
2022-11-23T02:04:40.2905714Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2905835Z               8 RETURN_VALUE
2022-11-23T02:04:40.2905939Z  
2022-11-23T02:04:40.2906057Z 
2022-11-23T02:04:40.2906500Z [2022-11-23 02:02:55,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2906793Z [2022-11-23 02:02:55,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2907095Z [2022-11-23 02:02:55,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2907469Z [2022-11-23 02:02:55,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2907799Z [2022-11-23 02:02:55,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2908136Z [2022-11-23 02:02:55,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2908651Z [2022-11-23 02:02:55,287] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2908995Z [2022-11-23 02:02:55,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2909373Z [2022-11-23 02:02:55,287] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2909731Z [2022-11-23 02:02:55,288] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2910076Z [2022-11-23 02:02:55,293] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2910338Z [2022-11-23 02:02:55,293] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2910509Z  __compiled_fn_414 <eval_with_key>.2963 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2910644Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2910774Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2911029Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2911174Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2911196Z 
2022-11-23T02:04:40.2911641Z [2022-11-23 02:02:55,294] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2911788Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2911929Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2912037Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2912177Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2912307Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2912440Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2912559Z              12 RETURN_VALUE
2022-11-23T02:04:40.2912578Z 
2022-11-23T02:04:40.2912678Z  
2022-11-23T02:04:40.2913119Z [2022-11-23 02:02:55,294] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2913286Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_414)
2022-11-23T02:04:40.2913398Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2913537Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2913660Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2913793Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2913925Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2914047Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2914180Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2914313Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2914466Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2914602Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2914721Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2914854Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2915036Z              26 RETURN_VALUE
2022-11-23T02:04:40.2915057Z 
2022-11-23T02:04:40.2915156Z  
2022-11-23T02:04:40.2915403Z [2022-11-23 02:02:55,295] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2915512Z  - 
2022-11-23T02:04:40.2915687Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2915794Z             {
2022-11-23T02:04:40.2915998Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2916260Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2916437Z                 'obj_weakref': None
2022-11-23T02:04:40.2916722Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2916825Z             }
2022-11-23T02:04:40.2916925Z             
2022-11-23T02:04:40.2917035Z  - 
2022-11-23T02:04:40.2917216Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2917317Z             {
2022-11-23T02:04:40.2917519Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2917658Z                 'code': None,
2022-11-23T02:04:40.2917958Z                 'obj_weakref': <weakref at 0x7fa53c4aaac0; to 'Tensor' at 0x7fa51c2027a0>
2022-11-23T02:04:40.2918365Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2918471Z             }
2022-11-23T02:04:40.2918574Z             
2022-11-23T02:04:40.2918685Z  - 
2022-11-23T02:04:40.2918868Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2918945Z             {
2022-11-23T02:04:40.2919150Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2919304Z                 'code': None,
2022-11-23T02:04:40.2919598Z                 'obj_weakref': <weakref at 0x7fa53c4a8360; to 'Tensor' at 0x7fa51c4d9760>
2022-11-23T02:04:40.2919938Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2920044Z             }
2022-11-23T02:04:40.2920150Z             
2022-11-23T02:04:40.2920238Z  - 
2022-11-23T02:04:40.2920425Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2920523Z             {
2022-11-23T02:04:40.2920719Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2920963Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2921140Z                 'obj_weakref': None
2022-11-23T02:04:40.2921452Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2921530Z             }
2022-11-23T02:04:40.2921630Z             
2022-11-23T02:04:40.2921738Z  - 
2022-11-23T02:04:40.2921913Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2922015Z             {
2022-11-23T02:04:40.2922216Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2922514Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2922662Z                 'obj_weakref': None
2022-11-23T02:04:40.2922976Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2923076Z             }
2022-11-23T02:04:40.2923180Z             
2022-11-23T02:04:40.2923539Z [2022-11-23 02:02:55,307] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 406
2022-11-23T02:04:40.2924043Z [2022-11-23 02:02:57,913] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ui/cuijrrlt2vuk4ywr663uw7a4mnzqhkz3v5jmfewtncwwmprbxb22.py
2022-11-23T02:04:40.2924409Z [2022-11-23 02:02:57,913] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 406
2022-11-23T02:04:40.2924431Z 
2022-11-23T02:04:40.2924572Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2924658Z import torch
2022-11-23T02:04:40.2924772Z import random
2022-11-23T02:04:40.2924939Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2925112Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2925198Z 
2022-11-23T02:04:40.2925325Z aten = torch.ops.aten
2022-11-23T02:04:40.2925521Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2925660Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2925680Z 
2022-11-23T02:04:40.2925704Z 
2022-11-23T02:04:40.2925903Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2926163Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2926339Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2926500Z                        const int* __restrict__ in_ptr1,
2022-11-23T02:04:40.2926647Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2926745Z {
2022-11-23T02:04:40.2926892Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2926991Z     {
2022-11-23T02:04:40.2927087Z         #pragma omp for 
2022-11-23T02:04:40.2927213Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.2927326Z         {
2022-11-23T02:04:40.2927428Z             {
2022-11-23T02:04:40.2927532Z                 {
2022-11-23T02:04:40.2927669Z                     auto tmp0 = in_ptr0[0];
2022-11-23T02:04:40.2927806Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.2928002Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T02:04:40.2928146Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:40.2928274Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:40.2928377Z                 }
2022-11-23T02:04:40.2928481Z             }
2022-11-23T02:04:40.2928581Z         }
2022-11-23T02:04:40.2928684Z     }
2022-11-23T02:04:40.2928757Z }
2022-11-23T02:04:40.2928889Z ''')
2022-11-23T02:04:40.2928909Z 
2022-11-23T02:04:40.2928927Z 
2022-11-23T02:04:40.2929064Z async_compile.wait(globals())
2022-11-23T02:04:40.2929179Z del async_compile
2022-11-23T02:04:40.2929198Z 
2022-11-23T02:04:40.2929310Z def call(args):
2022-11-23T02:04:40.2929432Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2929557Z     args.clear()
2022-11-23T02:04:40.2929808Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2930042Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2930158Z     del arg0_1
2022-11-23T02:04:40.2930267Z     del arg1_1
2022-11-23T02:04:40.2930380Z     return (buf0, )
2022-11-23T02:04:40.2930400Z 
2022-11-23T02:04:40.2930419Z 
2022-11-23T02:04:40.2930536Z if __name__ == "__main__":
2022-11-23T02:04:40.2930706Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2930885Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2931134Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2931404Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:40.2931573Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2931592Z 
2022-11-23T02:04:40.2931708Z ok (2.638s)
2022-11-23T02:04:40.2932185Z   test_cpu_broadcast3_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 02:02:57,921] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2932628Z [2022-11-23 02:02:57,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2932934Z [2022-11-23 02:02:57,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2933284Z [2022-11-23 02:02:57,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2933641Z [2022-11-23 02:02:57,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2934075Z [2022-11-23 02:02:57,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2934653Z [2022-11-23 02:02:57,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2935105Z [2022-11-23 02:02:57,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2935620Z [2022-11-23 02:02:57,922] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2935760Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2935899Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2936013Z               4 BINARY_ADD
2022-11-23T02:04:40.2936947Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2937077Z               8 RETURN_VALUE
2022-11-23T02:04:40.2937233Z  
2022-11-23T02:04:40.2937263Z 
2022-11-23T02:04:40.2938056Z [2022-11-23 02:02:57,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2938463Z [2022-11-23 02:02:57,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2938940Z [2022-11-23 02:02:57,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2939317Z [2022-11-23 02:02:57,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2939648Z [2022-11-23 02:02:57,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2939982Z [2022-11-23 02:02:57,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2940504Z [2022-11-23 02:02:57,925] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2940844Z [2022-11-23 02:02:57,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2941146Z [2022-11-23 02:02:57,925] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2941492Z [2022-11-23 02:02:57,927] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2941835Z [2022-11-23 02:02:57,932] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2942099Z [2022-11-23 02:02:57,933] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2942293Z  __compiled_fn_415 <eval_with_key>.2969 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2942432Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2942566Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2942814Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2942934Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2942958Z 
2022-11-23T02:04:40.2943397Z [2022-11-23 02:02:57,934] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2943540Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2943678Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2943808Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2943947Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2944080Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2944213Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2944308Z              12 RETURN_VALUE
2022-11-23T02:04:40.2944328Z 
2022-11-23T02:04:40.2944429Z  
2022-11-23T02:04:40.2944866Z [2022-11-23 02:02:57,934] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2945129Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_415)
2022-11-23T02:04:40.2945265Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2945405Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2945523Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2945636Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2945769Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2945887Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2946018Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2946173Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2946323Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2946455Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2946549Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2946681Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2946796Z              26 RETURN_VALUE
2022-11-23T02:04:40.2946819Z 
2022-11-23T02:04:40.2946914Z  
2022-11-23T02:04:40.2947179Z [2022-11-23 02:02:57,935] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2947295Z  - 
2022-11-23T02:04:40.2947466Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2947545Z             {
2022-11-23T02:04:40.2947801Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2948071Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2948243Z                 'obj_weakref': None
2022-11-23T02:04:40.2948562Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2948667Z             }
2022-11-23T02:04:40.2948767Z             
2022-11-23T02:04:40.2948878Z  - 
2022-11-23T02:04:40.2949037Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2949137Z             {
2022-11-23T02:04:40.2949344Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2949501Z                 'code': None,
2022-11-23T02:04:40.2949797Z                 'obj_weakref': <weakref at 0x7fa532225670; to 'Tensor' at 0x7fa53c4abe20>
2022-11-23T02:04:40.2950146Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2950250Z             }
2022-11-23T02:04:40.2950327Z             
2022-11-23T02:04:40.2950436Z  - 
2022-11-23T02:04:40.2950615Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2950717Z             {
2022-11-23T02:04:40.2950920Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2951075Z                 'code': None,
2022-11-23T02:04:40.2951373Z                 'obj_weakref': <weakref at 0x7fa51c3a1df0; to 'Tensor' at 0x7fa53c4a8770>
2022-11-23T02:04:40.2951690Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2951791Z             }
2022-11-23T02:04:40.2951893Z             
2022-11-23T02:04:40.2952003Z  - 
2022-11-23T02:04:40.2952194Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2952296Z             {
2022-11-23T02:04:40.2952491Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2952706Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2952880Z                 'obj_weakref': None
2022-11-23T02:04:40.2953197Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2953298Z             }
2022-11-23T02:04:40.2953399Z             
2022-11-23T02:04:40.2953503Z  - 
2022-11-23T02:04:40.2953655Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2953759Z             {
2022-11-23T02:04:40.2953947Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2954247Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2954419Z                 'obj_weakref': None
2022-11-23T02:04:40.2954724Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2954910Z             }
2022-11-23T02:04:40.2955012Z             
2022-11-23T02:04:40.2955354Z [2022-11-23 02:02:57,945] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 407
2022-11-23T02:04:40.2955852Z [2022-11-23 02:03:00,509] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eb/cebacvhes2gu4lbzoe66uy6ptsk7cfbkwotsq2c7f6v5bf3ht7vw.py
2022-11-23T02:04:40.2956213Z [2022-11-23 02:03:00,509] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 407
2022-11-23T02:04:40.2956234Z 
2022-11-23T02:04:40.2956374Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2956485Z import torch
2022-11-23T02:04:40.2956592Z import random
2022-11-23T02:04:40.2956759Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2956934Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2956955Z 
2022-11-23T02:04:40.2957061Z aten = torch.ops.aten
2022-11-23T02:04:40.2957253Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2957446Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2957465Z 
2022-11-23T02:04:40.2957484Z 
2022-11-23T02:04:40.2957728Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2958020Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2958193Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2958346Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2958493Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2958569Z {
2022-11-23T02:04:40.2958715Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2958816Z     {
2022-11-23T02:04:40.2958953Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.2959078Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.2959180Z         {
2022-11-23T02:04:40.2959315Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.2959393Z             {
2022-11-23T02:04:40.2959494Z                 {
2022-11-23T02:04:40.2959596Z                     {
2022-11-23T02:04:40.2959737Z                         auto tmp0 = in_ptr0[0];
2022-11-23T02:04:40.2959897Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T02:04:40.2960038Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2960181Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.2960262Z                     }
2022-11-23T02:04:40.2960363Z                 }
2022-11-23T02:04:40.2960467Z             }
2022-11-23T02:04:40.2960568Z         }
2022-11-23T02:04:40.2960667Z     }
2022-11-23T02:04:40.2960761Z }
2022-11-23T02:04:40.2960871Z ''')
2022-11-23T02:04:40.2960891Z 
2022-11-23T02:04:40.2960933Z 
2022-11-23T02:04:40.2961047Z async_compile.wait(globals())
2022-11-23T02:04:40.2961159Z del async_compile
2022-11-23T02:04:40.2961177Z 
2022-11-23T02:04:40.2961294Z def call(args):
2022-11-23T02:04:40.2961418Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2961531Z     args.clear()
2022-11-23T02:04:40.2961812Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2962048Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2962139Z     del arg0_1
2022-11-23T02:04:40.2962247Z     del arg1_1
2022-11-23T02:04:40.2962365Z     return (buf0, )
2022-11-23T02:04:40.2962385Z 
2022-11-23T02:04:40.2962403Z 
2022-11-23T02:04:40.2962521Z if __name__ == "__main__":
2022-11-23T02:04:40.2962693Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2962873Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2963149Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2963403Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2963570Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2963656Z 
2022-11-23T02:04:40.2963771Z ok (2.595s)
2022-11-23T02:04:40.2964257Z   test_cpu_broadcast3_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:00,517] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2964688Z [2022-11-23 02:03:00,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2964991Z [2022-11-23 02:03:00,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2965338Z [2022-11-23 02:03:00,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2965722Z [2022-11-23 02:03:00,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2966160Z [2022-11-23 02:03:00,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2966625Z [2022-11-23 02:03:00,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2967105Z [2022-11-23 02:03:00,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2967628Z [2022-11-23 02:03:00,518] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2967768Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.2967905Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.2968021Z               4 BINARY_ADD
2022-11-23T02:04:40.2968154Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.2968276Z               8 RETURN_VALUE
2022-11-23T02:04:40.2968382Z  
2022-11-23T02:04:40.2968402Z 
2022-11-23T02:04:40.2968805Z [2022-11-23 02:03:00,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.2969111Z [2022-11-23 02:03:00,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.2969437Z [2022-11-23 02:03:00,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.2969807Z [2022-11-23 02:03:00,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.2970137Z [2022-11-23 02:03:00,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.2970475Z [2022-11-23 02:03:00,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2970995Z [2022-11-23 02:03:00,521] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.2971338Z [2022-11-23 02:03:00,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.2971669Z [2022-11-23 02:03:00,521] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.2972017Z [2022-11-23 02:03:00,522] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.2972334Z [2022-11-23 02:03:00,528] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.2972605Z [2022-11-23 02:03:00,529] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.2972796Z  __compiled_fn_416 <eval_with_key>.2975 opcode, name, target, args, kwargs
2022-11-23T02:04:40.2972930Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.2973061Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.2973316Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.2973533Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.2973554Z 
2022-11-23T02:04:40.2974007Z [2022-11-23 02:03:00,529] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2974126Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.2974263Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2974396Z               4 BUILD_MAP                0
2022-11-23T02:04:40.2974543Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.2974675Z               8 DICT_MERGE               1
2022-11-23T02:04:40.2974810Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.2974928Z              12 RETURN_VALUE
2022-11-23T02:04:40.2974947Z 
2022-11-23T02:04:40.2975043Z  
2022-11-23T02:04:40.2975457Z [2022-11-23 02:03:00,529] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.2975624Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_416)
2022-11-23T02:04:40.2975760Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2975968Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2976643Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.2976869Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.2977072Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.2977227Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.2977446Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.2977687Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.2977929Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.2978140Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.2978326Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.2978471Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.2978573Z              26 RETURN_VALUE
2022-11-23T02:04:40.2978592Z 
2022-11-23T02:04:40.2978692Z  
2022-11-23T02:04:40.2978974Z [2022-11-23 02:03:00,531] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.2979087Z  - 
2022-11-23T02:04:40.2979271Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.2979373Z             {
2022-11-23T02:04:40.2979578Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.2979816Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.2979995Z                 'obj_weakref': None
2022-11-23T02:04:40.2980311Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.2980412Z             }
2022-11-23T02:04:40.2980514Z             
2022-11-23T02:04:40.2980625Z  - 
2022-11-23T02:04:40.2980810Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.2980888Z             {
2022-11-23T02:04:40.2981099Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2981252Z                 'code': None,
2022-11-23T02:04:40.2981544Z                 'obj_weakref': <weakref at 0x7fa51c200e50; to 'Tensor' at 0x7fa5500e5490>
2022-11-23T02:04:40.2981893Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2981995Z             }
2022-11-23T02:04:40.2982094Z             
2022-11-23T02:04:40.2982181Z  - 
2022-11-23T02:04:40.2982360Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.2982462Z             {
2022-11-23T02:04:40.2982665Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.2982823Z                 'code': None,
2022-11-23T02:04:40.2983113Z                 'obj_weakref': <weakref at 0x7fa5502c79c0; to 'Tensor' at 0x7fa5501117b0>
2022-11-23T02:04:40.2983459Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.2983734Z             }
2022-11-23T02:04:40.2983812Z             
2022-11-23T02:04:40.2983925Z  - 
2022-11-23T02:04:40.2984114Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.2984214Z             {
2022-11-23T02:04:40.2984412Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.2984652Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.2984804Z                 'obj_weakref': None
2022-11-23T02:04:40.2985116Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.2985218Z             }
2022-11-23T02:04:40.2985316Z             
2022-11-23T02:04:40.2985422Z  - 
2022-11-23T02:04:40.2985600Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.2985704Z             {
2022-11-23T02:04:40.2985876Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.2986175Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.2986350Z                 'obj_weakref': None
2022-11-23T02:04:40.2986655Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.2986761Z             }
2022-11-23T02:04:40.2986861Z             
2022-11-23T02:04:40.2987300Z [2022-11-23 02:03:00,540] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 408
2022-11-23T02:04:40.2987806Z [2022-11-23 02:03:00,554] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4r/c4r7d7ms3dxeaiwmnflp33bk6gia57jpwejv3hgylyavn4lmucv6.py
2022-11-23T02:04:40.2988144Z [2022-11-23 02:03:00,555] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 408
2022-11-23T02:04:40.2988193Z 
2022-11-23T02:04:40.2988309Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.2988422Z import torch
2022-11-23T02:04:40.2988535Z import random
2022-11-23T02:04:40.2988708Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.2988883Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.2988906Z 
2022-11-23T02:04:40.2989027Z aten = torch.ops.aten
2022-11-23T02:04:40.2989280Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.2989399Z async_compile = AsyncCompile()
2022-11-23T02:04:40.2989422Z 
2022-11-23T02:04:40.2989443Z 
2022-11-23T02:04:40.2989642Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.2989928Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.2990100Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.2990256Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.2990409Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.2990507Z {
2022-11-23T02:04:40.2990652Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.2990730Z     {
2022-11-23T02:04:40.2990849Z         #pragma omp for 
2022-11-23T02:04:40.2990978Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:40.2991081Z         {
2022-11-23T02:04:40.2991293Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T02:04:40.2991485Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.2991617Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2991731Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.2991832Z         }
2022-11-23T02:04:40.2991981Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.2992108Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T02:04:40.2992210Z         {
2022-11-23T02:04:40.2992338Z             auto tmp0 = in_ptr0[0];
2022-11-23T02:04:40.2992440Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.2992568Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.2992691Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.2992790Z         }
2022-11-23T02:04:40.2992888Z     }
2022-11-23T02:04:40.2992983Z }
2022-11-23T02:04:40.2993110Z ''')
2022-11-23T02:04:40.2993191Z 
2022-11-23T02:04:40.2993209Z 
2022-11-23T02:04:40.2993355Z async_compile.wait(globals())
2022-11-23T02:04:40.2993445Z del async_compile
2022-11-23T02:04:40.2993467Z 
2022-11-23T02:04:40.2993584Z def call(args):
2022-11-23T02:04:40.2993700Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.2993817Z     args.clear()
2022-11-23T02:04:40.2994109Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2994346Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.2994455Z     del arg0_1
2022-11-23T02:04:40.2994538Z     del arg1_1
2022-11-23T02:04:40.2994657Z     return (buf0, )
2022-11-23T02:04:40.2994676Z 
2022-11-23T02:04:40.2994694Z 
2022-11-23T02:04:40.2994814Z if __name__ == "__main__":
2022-11-23T02:04:40.2994980Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.2995158Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.2995435Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2995717Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.2995886Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.2995905Z 
2022-11-23T02:04:40.2996045Z ok (0.045s)
2022-11-23T02:04:40.2996524Z   test_cpu_dense_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:00,562] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.2996951Z [2022-11-23 02:03:00,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.2997253Z [2022-11-23 02:03:00,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.2997600Z [2022-11-23 02:03:00,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.2997977Z [2022-11-23 02:03:00,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.2998415Z [2022-11-23 02:03:00,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2998882Z [2022-11-23 02:03:00,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2999318Z [2022-11-23 02:03:00,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.2999833Z [2022-11-23 02:03:00,563] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.2999951Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3000089Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3000210Z               4 BINARY_ADD
2022-11-23T02:04:40.3000349Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3000474Z               8 RETURN_VALUE
2022-11-23T02:04:40.3000571Z  
2022-11-23T02:04:40.3000590Z 
2022-11-23T02:04:40.3001020Z [2022-11-23 02:03:00,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3001308Z [2022-11-23 02:03:00,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3001614Z [2022-11-23 02:03:00,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3001990Z [2022-11-23 02:03:00,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3002328Z [2022-11-23 02:03:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3002670Z [2022-11-23 02:03:00,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3003293Z [2022-11-23 02:03:00,566] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3003630Z [2022-11-23 02:03:00,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3003953Z [2022-11-23 02:03:00,566] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3004304Z [2022-11-23 02:03:00,567] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3004645Z [2022-11-23 02:03:00,572] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3004884Z [2022-11-23 02:03:00,573] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3005078Z  __compiled_fn_417 <eval_with_key>.2981 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3005216Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3005353Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3005604Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3005798Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3005818Z 
2022-11-23T02:04:40.3006265Z [2022-11-23 02:03:00,574] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3006403Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3006516Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3006648Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3006785Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3006989Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3007120Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3007239Z              12 RETURN_VALUE
2022-11-23T02:04:40.3007259Z 
2022-11-23T02:04:40.3007352Z  
2022-11-23T02:04:40.3007785Z [2022-11-23 02:03:00,574] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3007927Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_417)
2022-11-23T02:04:40.3008063Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3008192Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3008310Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3008438Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3008569Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3008686Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3008794Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3008948Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3009094Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3009230Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3009346Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3009474Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3009588Z              26 RETURN_VALUE
2022-11-23T02:04:40.3009611Z 
2022-11-23T02:04:40.3009685Z  
2022-11-23T02:04:40.3009945Z [2022-11-23 02:03:00,575] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3010051Z  - 
2022-11-23T02:04:40.3010222Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3010325Z             {
2022-11-23T02:04:40.3010522Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3010780Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3010932Z                 'obj_weakref': None
2022-11-23T02:04:40.3011239Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3011336Z             }
2022-11-23T02:04:40.3011592Z             
2022-11-23T02:04:40.3011701Z  - 
2022-11-23T02:04:40.3011879Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3011974Z             {
2022-11-23T02:04:40.3012154Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3012313Z                 'code': None,
2022-11-23T02:04:40.3012602Z                 'obj_weakref': <weakref at 0x7fa51c275080; to 'Tensor' at 0x7fa5502c6e30>
2022-11-23T02:04:40.3012945Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3013043Z             }
2022-11-23T02:04:40.3013139Z             
2022-11-23T02:04:40.3013243Z  - 
2022-11-23T02:04:40.3013396Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3013493Z             {
2022-11-23T02:04:40.3013690Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3013840Z                 'code': None,
2022-11-23T02:04:40.3014132Z                 'obj_weakref': <weakref at 0x7fa5042fd030; to 'Tensor' at 0x7fa5500e5490>
2022-11-23T02:04:40.3014480Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3014575Z             }
2022-11-23T02:04:40.3014670Z             
2022-11-23T02:04:40.3014756Z  - 
2022-11-23T02:04:40.3015049Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3015153Z             {
2022-11-23T02:04:40.3015351Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3015583Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3015751Z                 'obj_weakref': None
2022-11-23T02:04:40.3016482Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3016664Z             }
2022-11-23T02:04:40.3016814Z             
2022-11-23T02:04:40.3016997Z  - 
2022-11-23T02:04:40.3017278Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3017429Z             {
2022-11-23T02:04:40.3017767Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3018155Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3018327Z                 'obj_weakref': None
2022-11-23T02:04:40.3018629Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3018726Z             }
2022-11-23T02:04:40.3018820Z             
2022-11-23T02:04:40.3019175Z [2022-11-23 02:03:00,583] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 409
2022-11-23T02:04:40.3019675Z [2022-11-23 02:03:03,160] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pt/cptp3npfgfa7bpsojr3warrqudiytlkm7hh55tsnout5jn5lcncz.py
2022-11-23T02:04:40.3020038Z [2022-11-23 02:03:03,160] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 409
2022-11-23T02:04:40.3020058Z 
2022-11-23T02:04:40.3020197Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3020289Z import torch
2022-11-23T02:04:40.3020405Z import random
2022-11-23T02:04:40.3020573Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3020748Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3020767Z 
2022-11-23T02:04:40.3020891Z aten = torch.ops.aten
2022-11-23T02:04:40.3021084Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3021223Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3021242Z 
2022-11-23T02:04:40.3021260Z 
2022-11-23T02:04:40.3021431Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3021713Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3021893Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.3022048Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3022196Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3022294Z {
2022-11-23T02:04:40.3022584Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3022688Z     {
2022-11-23T02:04:40.3022784Z         #pragma omp for 
2022-11-23T02:04:40.3022905Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3023001Z         {
2022-11-23T02:04:40.3023132Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:40.3023238Z             {
2022-11-23T02:04:40.3023471Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2022-11-23T02:04:40.3023664Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T02:04:40.3023773Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.3023931Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T02:04:40.3024031Z             }
2022-11-23T02:04:40.3024169Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:40.3024298Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T02:04:40.3024396Z             {
2022-11-23T02:04:40.3024535Z                 auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T02:04:40.3024646Z                 auto tmp1 = in_ptr1[i1];
2022-11-23T02:04:40.3024779Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.3024914Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.3025014Z             }
2022-11-23T02:04:40.3025178Z         }
2022-11-23T02:04:40.3025284Z     }
2022-11-23T02:04:40.3025356Z }
2022-11-23T02:04:40.3025489Z ''')
2022-11-23T02:04:40.3025509Z 
2022-11-23T02:04:40.3025527Z 
2022-11-23T02:04:40.3025669Z async_compile.wait(globals())
2022-11-23T02:04:40.3025785Z del async_compile
2022-11-23T02:04:40.3025804Z 
2022-11-23T02:04:40.3025920Z def call(args):
2022-11-23T02:04:40.3026034Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3026145Z     args.clear()
2022-11-23T02:04:40.3026426Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3026634Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3026749Z     del arg0_1
2022-11-23T02:04:40.3026851Z     del arg1_1
2022-11-23T02:04:40.3026961Z     return (buf0, )
2022-11-23T02:04:40.3026981Z 
2022-11-23T02:04:40.3027000Z 
2022-11-23T02:04:40.3027118Z if __name__ == "__main__":
2022-11-23T02:04:40.3027293Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3027473Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3027757Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3028002Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3028175Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3028196Z 
2022-11-23T02:04:40.3028302Z ok (2.605s)
2022-11-23T02:04:40.3028764Z   test_cpu_dense_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:03,167] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3029191Z [2022-11-23 02:03:03,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3029496Z [2022-11-23 02:03:03,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3029843Z [2022-11-23 02:03:03,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3030214Z [2022-11-23 02:03:03,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3030645Z [2022-11-23 02:03:03,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3031091Z [2022-11-23 02:03:03,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3031527Z [2022-11-23 02:03:03,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3032107Z [2022-11-23 02:03:03,168] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3032253Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3032391Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3032507Z               4 BINARY_ADD
2022-11-23T02:04:40.3032641Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3032757Z               8 RETURN_VALUE
2022-11-23T02:04:40.3032831Z  
2022-11-23T02:04:40.3032881Z 
2022-11-23T02:04:40.3033285Z [2022-11-23 02:03:03,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3033579Z [2022-11-23 02:03:03,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3033912Z [2022-11-23 02:03:03,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3034292Z [2022-11-23 02:03:03,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3034676Z [2022-11-23 02:03:03,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3035019Z [2022-11-23 02:03:03,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3035544Z [2022-11-23 02:03:03,171] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3035879Z [2022-11-23 02:03:03,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3036209Z [2022-11-23 02:03:03,171] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3036536Z [2022-11-23 02:03:03,173] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3036887Z [2022-11-23 02:03:03,177] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3037155Z [2022-11-23 02:03:03,178] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3037351Z  __compiled_fn_418 <eval_with_key>.2987 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3037488Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3037623Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3037870Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3038013Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3038033Z 
2022-11-23T02:04:40.3038447Z [2022-11-23 02:03:03,179] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3038592Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3038731Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3038869Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3039014Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3039148Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3039289Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3039407Z              12 RETURN_VALUE
2022-11-23T02:04:40.3039426Z 
2022-11-23T02:04:40.3039500Z  
2022-11-23T02:04:40.3039938Z [2022-11-23 02:03:03,179] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3040099Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_418)
2022-11-23T02:04:40.3040234Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3040370Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3040490Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3040692Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3040802Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3040924Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3041063Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3041224Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3041377Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3041512Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3041636Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3041745Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3041860Z              26 RETURN_VALUE
2022-11-23T02:04:40.3041879Z 
2022-11-23T02:04:40.3041975Z  
2022-11-23T02:04:40.3042244Z [2022-11-23 02:03:03,180] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3042357Z  - 
2022-11-23T02:04:40.3042537Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3042644Z             {
2022-11-23T02:04:40.3042843Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3043078Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3043256Z                 'obj_weakref': None
2022-11-23T02:04:40.3043616Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3043728Z             }
2022-11-23T02:04:40.3043830Z             
2022-11-23T02:04:40.3043941Z  - 
2022-11-23T02:04:40.3044125Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3044204Z             {
2022-11-23T02:04:40.3044403Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3044556Z                 'code': None,
2022-11-23T02:04:40.3044847Z                 'obj_weakref': <weakref at 0x7fa53200ccc0; to 'Tensor' at 0x7fa5501117b0>
2022-11-23T02:04:40.3045198Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3045306Z             }
2022-11-23T02:04:40.3045405Z             
2022-11-23T02:04:40.3045492Z  - 
2022-11-23T02:04:40.3045667Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3045762Z             {
2022-11-23T02:04:40.3045966Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3046120Z                 'code': None,
2022-11-23T02:04:40.3046409Z                 'obj_weakref': <weakref at 0x7fa53200ffb0; to 'Tensor' at 0x7fa62380e200>
2022-11-23T02:04:40.3046744Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3046822Z             }
2022-11-23T02:04:40.3046924Z             
2022-11-23T02:04:40.3047031Z  - 
2022-11-23T02:04:40.3047213Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3047311Z             {
2022-11-23T02:04:40.3047502Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3047743Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3047902Z                 'obj_weakref': None
2022-11-23T02:04:40.3048215Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3048311Z             }
2022-11-23T02:04:40.3048406Z             
2022-11-23T02:04:40.3048515Z  - 
2022-11-23T02:04:40.3048686Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3048781Z             {
2022-11-23T02:04:40.3048953Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3049261Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3049432Z                 'obj_weakref': None
2022-11-23T02:04:40.3049741Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3049839Z             }
2022-11-23T02:04:40.3049938Z             
2022-11-23T02:04:40.3050290Z [2022-11-23 02:03:03,189] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 410
2022-11-23T02:04:40.3050839Z [2022-11-23 02:03:05,767] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t2/ct2lxi5krhhqy6mmaughx6cj75khq57f6l3s2xbspruqtpv2sp67.py
2022-11-23T02:04:40.3051205Z [2022-11-23 02:03:05,768] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 410
2022-11-23T02:04:40.3051226Z 
2022-11-23T02:04:40.3051366Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3051470Z import torch
2022-11-23T02:04:40.3051576Z import random
2022-11-23T02:04:40.3051768Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3051917Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3051964Z 
2022-11-23T02:04:40.3052084Z aten = torch.ops.aten
2022-11-23T02:04:40.3052222Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3052360Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3052379Z 
2022-11-23T02:04:40.3052397Z 
2022-11-23T02:04:40.3052597Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3052875Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3053043Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.3053247Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3053397Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3053491Z {
2022-11-23T02:04:40.3053615Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3053710Z     {
2022-11-23T02:04:40.3053825Z         #pragma omp for 
2022-11-23T02:04:40.3053947Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3054041Z         {
2022-11-23T02:04:40.3054164Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:40.3054266Z             {
2022-11-23T02:04:40.3054459Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2022-11-23T02:04:40.3054637Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T02:04:40.3054770Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.3054924Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T02:04:40.3055022Z             }
2022-11-23T02:04:40.3055154Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:40.3055282Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T02:04:40.3055362Z             {
2022-11-23T02:04:40.3055500Z                 auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T02:04:40.3055628Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.3055751Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.3055884Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.3055982Z             }
2022-11-23T02:04:40.3056725Z         }
2022-11-23T02:04:40.3056877Z     }
2022-11-23T02:04:40.3057031Z }
2022-11-23T02:04:40.3057256Z ''')
2022-11-23T02:04:40.3057281Z 
2022-11-23T02:04:40.3057309Z 
2022-11-23T02:04:40.3057536Z async_compile.wait(globals())
2022-11-23T02:04:40.3057719Z del async_compile
2022-11-23T02:04:40.3057749Z 
2022-11-23T02:04:40.3057908Z def call(args):
2022-11-23T02:04:40.3058027Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3058116Z     args.clear()
2022-11-23T02:04:40.3058415Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3058645Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3058748Z     del arg0_1
2022-11-23T02:04:40.3058854Z     del arg1_1
2022-11-23T02:04:40.3058963Z     return (buf0, )
2022-11-23T02:04:40.3058982Z 
2022-11-23T02:04:40.3059002Z 
2022-11-23T02:04:40.3059117Z if __name__ == "__main__":
2022-11-23T02:04:40.3059279Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3059435Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3059713Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3059993Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3060322Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3060342Z 
2022-11-23T02:04:40.3060447Z ok (2.608s)
2022-11-23T02:04:40.3060915Z   test_cpu_dense_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:05,775] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3061342Z [2022-11-23 02:03:05,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3061642Z [2022-11-23 02:03:05,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3061962Z [2022-11-23 02:03:05,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3062336Z [2022-11-23 02:03:05,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3062771Z [2022-11-23 02:03:05,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3063309Z [2022-11-23 02:03:05,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3063758Z [2022-11-23 02:03:05,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3064263Z [2022-11-23 02:03:05,776] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3064400Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3064534Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3064644Z               4 BINARY_ADD
2022-11-23T02:04:40.3064777Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3064875Z               8 RETURN_VALUE
2022-11-23T02:04:40.3064968Z  
2022-11-23T02:04:40.3064989Z 
2022-11-23T02:04:40.3065414Z [2022-11-23 02:03:05,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3065702Z [2022-11-23 02:03:05,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3066020Z [2022-11-23 02:03:05,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3066384Z [2022-11-23 02:03:05,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3066712Z [2022-11-23 02:03:05,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3067045Z [2022-11-23 02:03:05,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3067566Z [2022-11-23 02:03:05,778] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3067881Z [2022-11-23 02:03:05,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3068203Z [2022-11-23 02:03:05,779] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3068546Z [2022-11-23 02:03:05,780] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3068880Z [2022-11-23 02:03:05,785] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3069138Z [2022-11-23 02:03:05,786] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3069326Z  __compiled_fn_419 <eval_with_key>.2993 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3069458Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3069692Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3069923Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3070060Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3070080Z 
2022-11-23T02:04:40.3070519Z [2022-11-23 02:03:05,786] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3070659Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3070791Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3070919Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3071054Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3071181Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3071292Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3071407Z              12 RETURN_VALUE
2022-11-23T02:04:40.3071427Z 
2022-11-23T02:04:40.3071519Z  
2022-11-23T02:04:40.3071955Z [2022-11-23 02:03:05,787] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3072112Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_419)
2022-11-23T02:04:40.3072293Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3072432Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3072547Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3072658Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3072785Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3072900Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3073027Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3073174Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3073321Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3073454Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3073552Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3073679Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3073791Z              26 RETURN_VALUE
2022-11-23T02:04:40.3073811Z 
2022-11-23T02:04:40.3073905Z  
2022-11-23T02:04:40.3074167Z [2022-11-23 02:03:05,788] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3074274Z  - 
2022-11-23T02:04:40.3074442Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3074521Z             {
2022-11-23T02:04:40.3074720Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3074981Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3075150Z                 'obj_weakref': None
2022-11-23T02:04:40.3075458Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3075557Z             }
2022-11-23T02:04:40.3075657Z             
2022-11-23T02:04:40.3075746Z  - 
2022-11-23T02:04:40.3075924Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3076029Z             {
2022-11-23T02:04:40.3076228Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3076383Z                 'code': None,
2022-11-23T02:04:40.3076674Z                 'obj_weakref': <weakref at 0x7fa532225df0; to 'Tensor' at 0x7fa5500c6f70>
2022-11-23T02:04:40.3077016Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3077095Z             }
2022-11-23T02:04:40.3077192Z             
2022-11-23T02:04:40.3077297Z  - 
2022-11-23T02:04:40.3077469Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3077563Z             {
2022-11-23T02:04:40.3077761Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3077917Z                 'code': None,
2022-11-23T02:04:40.3078182Z                 'obj_weakref': <weakref at 0x7fa532227100; to 'Tensor' at 0x7fa51c1d4630>
2022-11-23T02:04:40.3078517Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3078681Z             }
2022-11-23T02:04:40.3078776Z             
2022-11-23T02:04:40.3078883Z  - 
2022-11-23T02:04:40.3079065Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3079163Z             {
2022-11-23T02:04:40.3079334Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3079567Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3079735Z                 'obj_weakref': None
2022-11-23T02:04:40.3080047Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3080146Z             }
2022-11-23T02:04:40.3080242Z             
2022-11-23T02:04:40.3080350Z  - 
2022-11-23T02:04:40.3080502Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3080600Z             {
2022-11-23T02:04:40.3080791Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3081085Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3081257Z                 'obj_weakref': None
2022-11-23T02:04:40.3081561Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3081711Z             }
2022-11-23T02:04:40.3081794Z             
2022-11-23T02:04:40.3082154Z [2022-11-23 02:03:05,796] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 411
2022-11-23T02:04:40.3082642Z [2022-11-23 02:03:08,427] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/y2/cy2k64vei65ih6cvkoit327kggp7mxaaxsw53nb5xdnpdgdf4ft6.py
2022-11-23T02:04:40.3083001Z [2022-11-23 02:03:08,428] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 411
2022-11-23T02:04:40.3083022Z 
2022-11-23T02:04:40.3083156Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3083260Z import torch
2022-11-23T02:04:40.3083367Z import random
2022-11-23T02:04:40.3083536Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3083691Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3083711Z 
2022-11-23T02:04:40.3083829Z aten = torch.ops.aten
2022-11-23T02:04:40.3084020Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3084155Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3084174Z 
2022-11-23T02:04:40.3084193Z 
2022-11-23T02:04:40.3084391Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3084671Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3084842Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.3084993Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3085117Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3085214Z {
2022-11-23T02:04:40.3085356Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3085451Z     {
2022-11-23T02:04:40.3085569Z         #pragma omp for 
2022-11-23T02:04:40.3085690Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:40.3085785Z         {
2022-11-23T02:04:40.3085992Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.3086167Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T02:04:40.3086293Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.3086427Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.3086524Z         }
2022-11-23T02:04:40.3086661Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.3086781Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T02:04:40.3086857Z         {
2022-11-23T02:04:40.3086979Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.3087099Z             auto tmp1 = in_ptr1[0];
2022-11-23T02:04:40.3087223Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.3087343Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.3087437Z         }
2022-11-23T02:04:40.3087607Z     }
2022-11-23T02:04:40.3087680Z }
2022-11-23T02:04:40.3087805Z ''')
2022-11-23T02:04:40.3087824Z 
2022-11-23T02:04:40.3087842Z 
2022-11-23T02:04:40.3087976Z async_compile.wait(globals())
2022-11-23T02:04:40.3088088Z del async_compile
2022-11-23T02:04:40.3088107Z 
2022-11-23T02:04:40.3088221Z def call(args):
2022-11-23T02:04:40.3088336Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3088443Z     args.clear()
2022-11-23T02:04:40.3088702Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3088931Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3089036Z     del arg0_1
2022-11-23T02:04:40.3089205Z     del arg1_1
2022-11-23T02:04:40.3089316Z     return (buf0, )
2022-11-23T02:04:40.3089335Z 
2022-11-23T02:04:40.3089353Z 
2022-11-23T02:04:40.3089467Z if __name__ == "__main__":
2022-11-23T02:04:40.3089633Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3089811Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3090075Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3090337Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3090559Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3090581Z 
2022-11-23T02:04:40.3090686Z ok (2.660s)
2022-11-23T02:04:40.3091139Z   test_cpu_dense_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:08,434] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3091567Z [2022-11-23 02:03:08,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3091870Z [2022-11-23 02:03:08,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3092219Z [2022-11-23 02:03:08,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3092599Z [2022-11-23 02:03:08,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3093060Z [2022-11-23 02:03:08,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3093520Z [2022-11-23 02:03:08,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3093956Z [2022-11-23 02:03:08,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3094468Z [2022-11-23 02:03:08,436] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3094603Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3094741Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3094849Z               4 BINARY_ADD
2022-11-23T02:04:40.3094980Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3095092Z               8 RETURN_VALUE
2022-11-23T02:04:40.3095173Z  
2022-11-23T02:04:40.3095193Z 
2022-11-23T02:04:40.3095619Z [2022-11-23 02:03:08,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3095906Z [2022-11-23 02:03:08,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3096794Z [2022-11-23 02:03:08,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3097470Z [2022-11-23 02:03:08,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3098014Z [2022-11-23 02:03:08,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3098542Z [2022-11-23 02:03:08,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3099063Z [2022-11-23 02:03:08,439] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3099397Z [2022-11-23 02:03:08,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3099696Z [2022-11-23 02:03:08,439] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3100040Z [2022-11-23 02:03:08,441] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3100375Z [2022-11-23 02:03:08,445] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3100630Z [2022-11-23 02:03:08,446] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3100821Z  __compiled_fn_420 <eval_with_key>.2999 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3100953Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3101080Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3101403Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3101530Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3101571Z 
2022-11-23T02:04:40.3101989Z [2022-11-23 02:03:08,446] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3102124Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3102255Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3102380Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3102516Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3102640Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3102775Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3102870Z              12 RETURN_VALUE
2022-11-23T02:04:40.3102889Z 
2022-11-23T02:04:40.3102982Z  
2022-11-23T02:04:40.3103417Z [2022-11-23 02:03:08,446] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3103574Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_420)
2022-11-23T02:04:40.3103709Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3103840Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3103956Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3104085Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3104196Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3104308Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3104434Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3104585Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3104738Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3104865Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3104977Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3105092Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3105202Z              26 RETURN_VALUE
2022-11-23T02:04:40.3105221Z 
2022-11-23T02:04:40.3105313Z  
2022-11-23T02:04:40.3105572Z [2022-11-23 02:03:08,448] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3105679Z  - 
2022-11-23T02:04:40.3105846Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3105945Z             {
2022-11-23T02:04:40.3106122Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3106377Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3106546Z                 'obj_weakref': None
2022-11-23T02:04:40.3106849Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3107006Z             }
2022-11-23T02:04:40.3107100Z             
2022-11-23T02:04:40.3107208Z  - 
2022-11-23T02:04:40.3107367Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3107464Z             {
2022-11-23T02:04:40.3107665Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3107821Z                 'code': None,
2022-11-23T02:04:40.3108111Z                 'obj_weakref': <weakref at 0x7fa5042fc2c0; to 'Tensor' at 0x7fa5500c6f70>
2022-11-23T02:04:40.3108454Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3108551Z             }
2022-11-23T02:04:40.3108627Z             
2022-11-23T02:04:40.3108733Z  - 
2022-11-23T02:04:40.3108905Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3109001Z             {
2022-11-23T02:04:40.3109198Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3109349Z                 'code': None,
2022-11-23T02:04:40.3109638Z                 'obj_weakref': <weakref at 0x7fa5042ffba0; to 'Tensor' at 0x7fa62380ddf0>
2022-11-23T02:04:40.3109957Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3110101Z             }
2022-11-23T02:04:40.3110204Z             
2022-11-23T02:04:40.3110315Z  - 
2022-11-23T02:04:40.3110499Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3110593Z             {
2022-11-23T02:04:40.3110784Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3110996Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3111162Z                 'obj_weakref': None
2022-11-23T02:04:40.3111468Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3111564Z             }
2022-11-23T02:04:40.3111658Z             
2022-11-23T02:04:40.3111764Z  - 
2022-11-23T02:04:40.3111935Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3112017Z             {
2022-11-23T02:04:40.3112209Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3112502Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3112674Z                 'obj_weakref': None
2022-11-23T02:04:40.3112972Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3113069Z             }
2022-11-23T02:04:40.3113164Z             
2022-11-23T02:04:40.3113499Z [2022-11-23 02:03:08,457] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 412
2022-11-23T02:04:40.3113988Z [2022-11-23 02:03:11,090] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3o/c3okr3ktejqzuuq4zatqbrvmab7jodxhp6aaoo2mn35d24ow5pmg.py
2022-11-23T02:04:40.3114347Z [2022-11-23 02:03:11,090] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 412
2022-11-23T02:04:40.3114371Z 
2022-11-23T02:04:40.3114507Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3114613Z import torch
2022-11-23T02:04:40.3114718Z import random
2022-11-23T02:04:40.3114881Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3115056Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3115145Z 
2022-11-23T02:04:40.3115298Z aten = torch.ops.aten
2022-11-23T02:04:40.3115486Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3115618Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3115638Z 
2022-11-23T02:04:40.3115656Z 
2022-11-23T02:04:40.3115848Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3116132Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3116300Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.3116447Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3116587Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3116726Z {
2022-11-23T02:04:40.3116870Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3116965Z     {
2022-11-23T02:04:40.3117079Z         #pragma omp for 
2022-11-23T02:04:40.3117202Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:40.3117303Z         {
2022-11-23T02:04:40.3117525Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.3117692Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.3117818Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.3117950Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.3118046Z         }
2022-11-23T02:04:40.3118185Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.3118310Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T02:04:40.3118409Z         {
2022-11-23T02:04:40.3118513Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.3118636Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.3118762Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.3118880Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.3118975Z         }
2022-11-23T02:04:40.3119070Z     }
2022-11-23T02:04:40.3119159Z }
2022-11-23T02:04:40.3119271Z ''')
2022-11-23T02:04:40.3119348Z 
2022-11-23T02:04:40.3119368Z 
2022-11-23T02:04:40.3119507Z async_compile.wait(globals())
2022-11-23T02:04:40.3119615Z del async_compile
2022-11-23T02:04:40.3119634Z 
2022-11-23T02:04:40.3119741Z def call(args):
2022-11-23T02:04:40.3119853Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3119957Z     args.clear()
2022-11-23T02:04:40.3120232Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3120458Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3120544Z     del arg0_1
2022-11-23T02:04:40.3120643Z     del arg1_1
2022-11-23T02:04:40.3120750Z     return (buf0, )
2022-11-23T02:04:40.3120773Z 
2022-11-23T02:04:40.3120792Z 
2022-11-23T02:04:40.3120907Z if __name__ == "__main__":
2022-11-23T02:04:40.3121070Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3121243Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3121521Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3121773Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3121937Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3121956Z 
2022-11-23T02:04:40.3122057Z ok (2.663s)
2022-11-23T02:04:40.3122503Z   test_cpu_dense_double (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:11,097] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3122932Z [2022-11-23 02:03:11,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3123233Z [2022-11-23 02:03:11,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3123574Z [2022-11-23 02:03:11,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3123953Z [2022-11-23 02:03:11,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3124391Z [2022-11-23 02:03:11,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3124849Z [2022-11-23 02:03:11,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3125265Z [2022-11-23 02:03:11,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3125775Z [2022-11-23 02:03:11,099] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3125989Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3126121Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3126237Z               4 BINARY_ADD
2022-11-23T02:04:40.3126370Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3126485Z               8 RETURN_VALUE
2022-11-23T02:04:40.3126581Z  
2022-11-23T02:04:40.3126601Z 
2022-11-23T02:04:40.3127008Z [2022-11-23 02:03:11,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3127296Z [2022-11-23 02:03:11,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3127616Z [2022-11-23 02:03:11,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3127990Z [2022-11-23 02:03:11,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3128322Z [2022-11-23 02:03:11,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3128712Z [2022-11-23 02:03:11,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3129235Z [2022-11-23 02:03:11,101] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3129567Z [2022-11-23 02:03:11,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3129882Z [2022-11-23 02:03:11,102] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3130225Z [2022-11-23 02:03:11,103] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3130559Z [2022-11-23 02:03:11,108] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3130823Z [2022-11-23 02:03:11,109] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3131016Z  __compiled_fn_421 <eval_with_key>.3005 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3131146Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3131277Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3131531Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3131666Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3131686Z 
2022-11-23T02:04:40.3132121Z [2022-11-23 02:03:11,109] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3132239Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3132372Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3132503Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3132640Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3132765Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3132894Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3133009Z              12 RETURN_VALUE
2022-11-23T02:04:40.3133029Z 
2022-11-23T02:04:40.3133104Z  
2022-11-23T02:04:40.3133542Z [2022-11-23 02:03:11,110] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3133700Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_421)
2022-11-23T02:04:40.3133829Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3133961Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3134076Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3134208Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3134337Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3134539Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3134667Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3134817Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3134964Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3135095Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3135207Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3135335Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3135429Z              26 RETURN_VALUE
2022-11-23T02:04:40.3135448Z 
2022-11-23T02:04:40.3135542Z  
2022-11-23T02:04:40.3135803Z [2022-11-23 02:03:11,111] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3135911Z  - 
2022-11-23T02:04:40.3136685Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3136828Z             {
2022-11-23T02:04:40.3137168Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3137569Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3137856Z                 'obj_weakref': None
2022-11-23T02:04:40.3138335Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3138443Z             }
2022-11-23T02:04:40.3138723Z             
2022-11-23T02:04:40.3138846Z  - 
2022-11-23T02:04:40.3139030Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3139107Z             {
2022-11-23T02:04:40.3139308Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3139462Z                 'code': None,
2022-11-23T02:04:40.3139748Z                 'obj_weakref': <weakref at 0x7fa5042fc270; to 'Tensor' at 0x7fa5500c6f70>
2022-11-23T02:04:40.3140089Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3140187Z             }
2022-11-23T02:04:40.3140284Z             
2022-11-23T02:04:40.3140370Z  - 
2022-11-23T02:04:40.3140543Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3140647Z             {
2022-11-23T02:04:40.3140845Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3140997Z                 'code': None,
2022-11-23T02:04:40.3141283Z                 'obj_weakref': <weakref at 0x7fa53222d760; to 'Tensor' at 0x7fa62380e2a0>
2022-11-23T02:04:40.3141627Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3141705Z             }
2022-11-23T02:04:40.3141803Z             
2022-11-23T02:04:40.3141907Z  - 
2022-11-23T02:04:40.3142094Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3142188Z             {
2022-11-23T02:04:40.3142379Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3142612Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3142761Z                 'obj_weakref': None
2022-11-23T02:04:40.3143066Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3143164Z             }
2022-11-23T02:04:40.3143261Z             
2022-11-23T02:04:40.3143368Z  - 
2022-11-23T02:04:40.3143539Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3143636Z             {
2022-11-23T02:04:40.3143807Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3144097Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3144265Z                 'obj_weakref': None
2022-11-23T02:04:40.3144564Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3144662Z             }
2022-11-23T02:04:40.3144757Z             
2022-11-23T02:04:40.3145107Z [2022-11-23 02:03:11,120] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 413
2022-11-23T02:04:40.3145593Z [2022-11-23 02:03:13,790] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sy/csyxr52onylntt5nw5fohuz43d5x4ie2ugnnz5xi2r2fnvvflgdj.py
2022-11-23T02:04:40.3146041Z [2022-11-23 02:03:13,790] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 413
2022-11-23T02:04:40.3146066Z 
2022-11-23T02:04:40.3146204Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3146314Z import torch
2022-11-23T02:04:40.3146421Z import random
2022-11-23T02:04:40.3146587Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3146759Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3146779Z 
2022-11-23T02:04:40.3146896Z aten = torch.ops.aten
2022-11-23T02:04:40.3147066Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3147201Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3147220Z 
2022-11-23T02:04:40.3147238Z 
2022-11-23T02:04:40.3147430Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3147710Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3147881Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.3148033Z                        const double* __restrict__ in_ptr1,
2022-11-23T02:04:40.3148177Z                        double* __restrict__ out_ptr0)
2022-11-23T02:04:40.3148270Z {
2022-11-23T02:04:40.3148448Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3148551Z     {
2022-11-23T02:04:40.3148673Z         #pragma omp for 
2022-11-23T02:04:40.3148797Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T02:04:40.3148898Z         {
2022-11-23T02:04:40.3148995Z             {
2022-11-23T02:04:40.3149093Z                 {
2022-11-23T02:04:40.3149211Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.3149345Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T02:04:40.3149504Z                     auto tmp1 = static_cast<double>(tmp0);
2022-11-23T02:04:40.3149637Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:40.3149759Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:40.3149861Z                 }
2022-11-23T02:04:40.3149957Z             }
2022-11-23T02:04:40.3150033Z         }
2022-11-23T02:04:40.3150130Z     }
2022-11-23T02:04:40.3150224Z }
2022-11-23T02:04:40.3150349Z ''')
2022-11-23T02:04:40.3150369Z 
2022-11-23T02:04:40.3150387Z 
2022-11-23T02:04:40.3150525Z async_compile.wait(globals())
2022-11-23T02:04:40.3150637Z del async_compile
2022-11-23T02:04:40.3150656Z 
2022-11-23T02:04:40.3150764Z def call(args):
2022-11-23T02:04:40.3150856Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3150967Z     args.clear()
2022-11-23T02:04:40.3151248Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3151477Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3151583Z     del arg0_1
2022-11-23T02:04:40.3151684Z     del arg1_1
2022-11-23T02:04:40.3151793Z     return (buf0, )
2022-11-23T02:04:40.3151812Z 
2022-11-23T02:04:40.3151830Z 
2022-11-23T02:04:40.3151951Z if __name__ == "__main__":
2022-11-23T02:04:40.3152095Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3152271Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3152547Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3152822Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3153025Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3153025Z 
2022-11-23T02:04:40.3153152Z ok (2.700s)
2022-11-23T02:04:40.3153563Z   test_cpu_dense_int (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:13,797] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3153989Z [2022-11-23 02:03:13,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3154268Z [2022-11-23 02:03:13,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3154681Z [2022-11-23 02:03:13,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3155066Z [2022-11-23 02:03:13,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3155498Z [2022-11-23 02:03:13,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3155966Z [2022-11-23 02:03:13,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3156403Z [2022-11-23 02:03:13,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3156907Z [2022-11-23 02:03:13,798] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3157045Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3157177Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3157330Z               4 BINARY_ADD
2022-11-23T02:04:40.3157448Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3157560Z               8 RETURN_VALUE
2022-11-23T02:04:40.3157657Z  
2022-11-23T02:04:40.3157676Z 
2022-11-23T02:04:40.3158096Z [2022-11-23 02:03:13,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3158382Z [2022-11-23 02:03:13,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3158702Z [2022-11-23 02:03:13,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3159075Z [2022-11-23 02:03:13,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3159405Z [2022-11-23 02:03:13,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3159722Z [2022-11-23 02:03:13,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3160238Z [2022-11-23 02:03:13,802] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3160573Z [2022-11-23 02:03:13,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3160892Z [2022-11-23 02:03:13,802] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3161235Z [2022-11-23 02:03:13,804] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3161574Z [2022-11-23 02:03:13,808] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3161841Z [2022-11-23 02:03:13,809] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3162033Z  __compiled_fn_422 <eval_with_key>.3011 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3162170Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3162280Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3162527Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3162667Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3162686Z 
2022-11-23T02:04:40.3163122Z [2022-11-23 02:03:13,809] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3163261Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3163396Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3163524Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3163795Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3163904Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3164035Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3164152Z              12 RETURN_VALUE
2022-11-23T02:04:40.3164176Z 
2022-11-23T02:04:40.3164272Z  
2022-11-23T02:04:40.3164710Z [2022-11-23 02:03:13,810] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3164868Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_422)
2022-11-23T02:04:40.3165001Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3165112Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3165228Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3165359Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3165493Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3165606Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3165741Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3165892Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3166039Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3166209Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3166330Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3166458Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3166571Z              26 RETURN_VALUE
2022-11-23T02:04:40.3166591Z 
2022-11-23T02:04:40.3166684Z  
2022-11-23T02:04:40.3166940Z [2022-11-23 02:03:13,811] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3167047Z  - 
2022-11-23T02:04:40.3167199Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3167297Z             {
2022-11-23T02:04:40.3167494Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3167748Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3167923Z                 'obj_weakref': None
2022-11-23T02:04:40.3168232Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3168333Z             }
2022-11-23T02:04:40.3168410Z             
2022-11-23T02:04:40.3168520Z  - 
2022-11-23T02:04:40.3168698Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3168795Z             {
2022-11-23T02:04:40.3168992Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3169146Z                 'code': None,
2022-11-23T02:04:40.3169434Z                 'obj_weakref': <weakref at 0x7fa53c3e1170; to 'Tensor' at 0x7fa5500c6f70>
2022-11-23T02:04:40.3169754Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3169856Z             }
2022-11-23T02:04:40.3169952Z             
2022-11-23T02:04:40.3170055Z  - 
2022-11-23T02:04:40.3170228Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3170329Z             {
2022-11-23T02:04:40.3170569Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3170704Z                 'code': None,
2022-11-23T02:04:40.3170990Z                 'obj_weakref': <weakref at 0x7fa53c3e23e0; to 'Tensor' at 0x7fa51c2d9ad0>
2022-11-23T02:04:40.3171338Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3171435Z             }
2022-11-23T02:04:40.3171531Z             
2022-11-23T02:04:40.3171636Z  - 
2022-11-23T02:04:40.3171820Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3171898Z             {
2022-11-23T02:04:40.3172089Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3172324Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3172491Z                 'obj_weakref': None
2022-11-23T02:04:40.3172801Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3172985Z             }
2022-11-23T02:04:40.3173082Z             
2022-11-23T02:04:40.3173169Z  - 
2022-11-23T02:04:40.3173342Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3173442Z             {
2022-11-23T02:04:40.3173633Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3173930Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3174096Z                 'obj_weakref': None
2022-11-23T02:04:40.3174397Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3174474Z             }
2022-11-23T02:04:40.3174567Z             
2022-11-23T02:04:40.3174918Z [2022-11-23 02:03:13,820] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 414
2022-11-23T02:04:40.3175406Z [2022-11-23 02:03:16,459] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lm/clmaxmknjyylryc3x7uazqaqf2mt3jmpb6476fbekjjtdj5cygg2.py
2022-11-23T02:04:40.3175775Z [2022-11-23 02:03:16,459] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 414
2022-11-23T02:04:40.3175798Z 
2022-11-23T02:04:40.3175934Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3176586Z import torch
2022-11-23T02:04:40.3176961Z import random
2022-11-23T02:04:40.3177224Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3177513Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3177542Z 
2022-11-23T02:04:40.3177734Z aten = torch.ops.aten
2022-11-23T02:04:40.3178051Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3178261Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3178289Z 
2022-11-23T02:04:40.3178314Z 
2022-11-23T02:04:40.3178552Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3178833Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3179004Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.3179141Z                        const int* __restrict__ in_ptr1,
2022-11-23T02:04:40.3179283Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3179376Z {
2022-11-23T02:04:40.3179521Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3179620Z     {
2022-11-23T02:04:40.3179748Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3179866Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3179942Z         {
2022-11-23T02:04:40.3180065Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3180163Z             {
2022-11-23T02:04:40.3180259Z                 {
2022-11-23T02:04:40.3180360Z                     {
2022-11-23T02:04:40.3180507Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T02:04:40.3180647Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T02:04:40.3180789Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T02:04:40.3180924Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:40.3181066Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.3181166Z                     }
2022-11-23T02:04:40.3181263Z                 }
2022-11-23T02:04:40.3181359Z             }
2022-11-23T02:04:40.3181457Z         }
2022-11-23T02:04:40.3181533Z     }
2022-11-23T02:04:40.3181624Z }
2022-11-23T02:04:40.3181745Z ''')
2022-11-23T02:04:40.3181764Z 
2022-11-23T02:04:40.3181784Z 
2022-11-23T02:04:40.3181916Z async_compile.wait(globals())
2022-11-23T02:04:40.3182024Z del async_compile
2022-11-23T02:04:40.3182043Z 
2022-11-23T02:04:40.3182148Z def call(args):
2022-11-23T02:04:40.3182262Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3182349Z     args.clear()
2022-11-23T02:04:40.3182628Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3182859Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3182965Z     del arg0_1
2022-11-23T02:04:40.3183163Z     del arg1_1
2022-11-23T02:04:40.3183269Z     return (buf0, )
2022-11-23T02:04:40.3183288Z 
2022-11-23T02:04:40.3183306Z 
2022-11-23T02:04:40.3183418Z if __name__ == "__main__":
2022-11-23T02:04:40.3183561Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3183741Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3184015Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3184278Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:40.3184441Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3184460Z 
2022-11-23T02:04:40.3184560Z ok (2.669s)
2022-11-23T02:04:40.3185006Z   test_cpu_dense_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:16,467] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3185429Z [2022-11-23 02:03:16,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3185734Z [2022-11-23 02:03:16,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3186108Z [2022-11-23 02:03:16,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3186493Z [2022-11-23 02:03:16,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3186919Z [2022-11-23 02:03:16,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3187385Z [2022-11-23 02:03:16,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3187816Z [2022-11-23 02:03:16,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3188326Z [2022-11-23 02:03:16,468] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3188464Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3188597Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3188708Z               4 BINARY_ADD
2022-11-23T02:04:40.3188817Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3188933Z               8 RETURN_VALUE
2022-11-23T02:04:40.3189027Z  
2022-11-23T02:04:40.3189046Z 
2022-11-23T02:04:40.3189514Z [2022-11-23 02:03:16,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3189800Z [2022-11-23 02:03:16,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3190121Z [2022-11-23 02:03:16,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3190493Z [2022-11-23 02:03:16,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3190820Z [2022-11-23 02:03:16,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3191149Z [2022-11-23 02:03:16,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3191641Z [2022-11-23 02:03:16,471] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3191974Z [2022-11-23 02:03:16,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3192290Z [2022-11-23 02:03:16,471] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3192701Z [2022-11-23 02:03:16,473] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3193038Z [2022-11-23 02:03:16,479] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3193305Z [2022-11-23 02:03:16,479] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3193492Z  __compiled_fn_423 <eval_with_key>.3017 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3193622Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3193750Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3193977Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3194113Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3194133Z 
2022-11-23T02:04:40.3194592Z [2022-11-23 02:03:16,480] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3194733Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3194872Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3194999Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3195129Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3195300Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3195417Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3195529Z              12 RETURN_VALUE
2022-11-23T02:04:40.3195549Z 
2022-11-23T02:04:40.3195643Z  
2022-11-23T02:04:40.3196080Z [2022-11-23 02:03:16,480] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3196235Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_423)
2022-11-23T02:04:40.3196365Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3196496Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3196593Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3196731Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3196857Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3196969Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3197098Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3197250Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3197395Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3197505Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3197623Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3197749Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3197863Z              26 RETURN_VALUE
2022-11-23T02:04:40.3197883Z 
2022-11-23T02:04:40.3197975Z  
2022-11-23T02:04:40.3198232Z [2022-11-23 02:03:16,481] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3198340Z  - 
2022-11-23T02:04:40.3198507Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3198586Z             {
2022-11-23T02:04:40.3198787Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3199044Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3199213Z                 'obj_weakref': None
2022-11-23T02:04:40.3199527Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3199626Z             }
2022-11-23T02:04:40.3199718Z             
2022-11-23T02:04:40.3199807Z  - 
2022-11-23T02:04:40.3199983Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3200080Z             {
2022-11-23T02:04:40.3200282Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3200436Z                 'code': None,
2022-11-23T02:04:40.3200730Z                 'obj_weakref': <weakref at 0x7fa5320bd7b0; to 'Tensor' at 0x7fa5042fd9e0>
2022-11-23T02:04:40.3201068Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3201146Z             }
2022-11-23T02:04:40.3201335Z             
2022-11-23T02:04:40.3201443Z  - 
2022-11-23T02:04:40.3201619Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3201717Z             {
2022-11-23T02:04:40.3201918Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3202056Z                 'code': None,
2022-11-23T02:04:40.3202344Z                 'obj_weakref': <weakref at 0x7fa5320bc9f0; to 'Tensor' at 0x7fa51c4d91c0>
2022-11-23T02:04:40.3202681Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3202779Z             }
2022-11-23T02:04:40.3202877Z             
2022-11-23T02:04:40.3202988Z  - 
2022-11-23T02:04:40.3203174Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3203267Z             {
2022-11-23T02:04:40.3203437Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3203669Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3203843Z                 'obj_weakref': None
2022-11-23T02:04:40.3204154Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3204257Z             }
2022-11-23T02:04:40.3204355Z             
2022-11-23T02:04:40.3204462Z  - 
2022-11-23T02:04:40.3204668Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3204770Z             {
2022-11-23T02:04:40.3204966Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3205260Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3205426Z                 'obj_weakref': None
2022-11-23T02:04:40.3205726Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3205824Z             }
2022-11-23T02:04:40.3205900Z             
2022-11-23T02:04:40.3206257Z [2022-11-23 02:03:16,494] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 415
2022-11-23T02:04:40.3206744Z [2022-11-23 02:03:19,112] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3l/c3l4lijh66n4i4yytnjo4kz54xw5l4mfl4hks3xkdmav5auv4quh.py
2022-11-23T02:04:40.3207103Z [2022-11-23 02:03:19,112] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 415
2022-11-23T02:04:40.3207126Z 
2022-11-23T02:04:40.3207266Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3207372Z import torch
2022-11-23T02:04:40.3207478Z import random
2022-11-23T02:04:40.3207645Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3207800Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3207819Z 
2022-11-23T02:04:40.3207940Z aten = torch.ops.aten
2022-11-23T02:04:40.3208135Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3208268Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3208287Z 
2022-11-23T02:04:40.3208305Z 
2022-11-23T02:04:40.3208507Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3208792Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3208963Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.3209114Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3209245Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3209339Z {
2022-11-23T02:04:40.3209482Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3209578Z     {
2022-11-23T02:04:40.3209711Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3209833Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3209933Z         {
2022-11-23T02:04:40.3210041Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3210138Z             {
2022-11-23T02:04:40.3210238Z                 {
2022-11-23T02:04:40.3210343Z                     {
2022-11-23T02:04:40.3210490Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T02:04:40.3210642Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T02:04:40.3210854Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.3210973Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.3211073Z                     }
2022-11-23T02:04:40.3211175Z                 }
2022-11-23T02:04:40.3211273Z             }
2022-11-23T02:04:40.3211369Z         }
2022-11-23T02:04:40.3211464Z     }
2022-11-23T02:04:40.3211538Z }
2022-11-23T02:04:40.3211661Z ''')
2022-11-23T02:04:40.3211680Z 
2022-11-23T02:04:40.3211699Z 
2022-11-23T02:04:40.3211830Z async_compile.wait(globals())
2022-11-23T02:04:40.3211938Z del async_compile
2022-11-23T02:04:40.3211957Z 
2022-11-23T02:04:40.3212063Z def call(args):
2022-11-23T02:04:40.3212177Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3212290Z     args.clear()
2022-11-23T02:04:40.3212566Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3212777Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3212885Z     del arg0_1
2022-11-23T02:04:40.3212984Z     del arg1_1
2022-11-23T02:04:40.3213090Z     return (buf0, )
2022-11-23T02:04:40.3213110Z 
2022-11-23T02:04:40.3213129Z 
2022-11-23T02:04:40.3213294Z if __name__ == "__main__":
2022-11-23T02:04:40.3213463Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3213636Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3213894Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3214169Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3214333Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3214352Z 
2022-11-23T02:04:40.3214449Z ok (2.653s)
2022-11-23T02:04:40.3214908Z   test_cpu_dense_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:19,120] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3215337Z [2022-11-23 02:03:19,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3215637Z [2022-11-23 02:03:19,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3215983Z [2022-11-23 02:03:19,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3217169Z [2022-11-23 02:03:19,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3217933Z [2022-11-23 02:03:19,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3218465Z [2022-11-23 02:03:19,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3218897Z [2022-11-23 02:03:19,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3219413Z [2022-11-23 02:03:19,121] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3219549Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3219683Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3219792Z               4 BINARY_ADD
2022-11-23T02:04:40.3219921Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3220034Z               8 RETURN_VALUE
2022-11-23T02:04:40.3220108Z  
2022-11-23T02:04:40.3220129Z 
2022-11-23T02:04:40.3220550Z [2022-11-23 02:03:19,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3220838Z [2022-11-23 02:03:19,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3221327Z [2022-11-23 02:03:19,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3221700Z [2022-11-23 02:03:19,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3222022Z [2022-11-23 02:03:19,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3222352Z [2022-11-23 02:03:19,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3222865Z [2022-11-23 02:03:19,124] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3223195Z [2022-11-23 02:03:19,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3223514Z [2022-11-23 02:03:19,124] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3223841Z [2022-11-23 02:03:19,126] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3224257Z [2022-11-23 02:03:19,131] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3224526Z [2022-11-23 02:03:19,132] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3224718Z  __compiled_fn_424 <eval_with_key>.3023 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3224847Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3224977Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3225224Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3225365Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3225385Z 
2022-11-23T02:04:40.3225799Z [2022-11-23 02:03:19,133] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3225940Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3226074Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3226202Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3226341Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3226468Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3226599Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3226693Z              12 RETURN_VALUE
2022-11-23T02:04:40.3226733Z 
2022-11-23T02:04:40.3226807Z  
2022-11-23T02:04:40.3227239Z [2022-11-23 02:03:19,133] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3227397Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_424)
2022-11-23T02:04:40.3227527Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3227656Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3227775Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3227903Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3228012Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3228126Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3228260Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3228413Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3228559Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3228690Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3228803Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3228914Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3229032Z              26 RETURN_VALUE
2022-11-23T02:04:40.3229051Z 
2022-11-23T02:04:40.3229144Z  
2022-11-23T02:04:40.3229402Z [2022-11-23 02:03:19,134] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3229508Z  - 
2022-11-23T02:04:40.3229741Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3229838Z             {
2022-11-23T02:04:40.3230017Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3230275Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3230449Z                 'obj_weakref': None
2022-11-23T02:04:40.3230762Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3230861Z             }
2022-11-23T02:04:40.3230954Z             
2022-11-23T02:04:40.3231062Z  - 
2022-11-23T02:04:40.3231223Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3231322Z             {
2022-11-23T02:04:40.3231524Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3231684Z                 'code': None,
2022-11-23T02:04:40.3231976Z                 'obj_weakref': <weakref at 0x7fa51c2030b0; to 'Tensor' at 0x7fa5500c6f70>
2022-11-23T02:04:40.3232319Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3232423Z             }
2022-11-23T02:04:40.3232500Z             
2022-11-23T02:04:40.3232609Z  - 
2022-11-23T02:04:40.3232785Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3232885Z             {
2022-11-23T02:04:40.3233139Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3233301Z                 'code': None,
2022-11-23T02:04:40.3233585Z                 'obj_weakref': <weakref at 0x7fa51c2039c0; to 'Tensor' at 0x7fa5320bed40>
2022-11-23T02:04:40.3233923Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3234002Z             }
2022-11-23T02:04:40.3234095Z             
2022-11-23T02:04:40.3234201Z  - 
2022-11-23T02:04:40.3234382Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3234477Z             {
2022-11-23T02:04:40.3234665Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3234884Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3235052Z                 'obj_weakref': None
2022-11-23T02:04:40.3235361Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3235460Z             }
2022-11-23T02:04:40.3235556Z             
2022-11-23T02:04:40.3235663Z  - 
2022-11-23T02:04:40.3235835Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3235912Z             {
2022-11-23T02:04:40.3236100Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3236392Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3236559Z                 'obj_weakref': None
2022-11-23T02:04:40.3236863Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3236959Z             }
2022-11-23T02:04:40.3237054Z             
2022-11-23T02:04:40.3237383Z [2022-11-23 02:03:19,144] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 416
2022-11-23T02:04:40.3237880Z [2022-11-23 02:03:21,749] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/be/cbekaso5u3iwcips2fqwk42drfahxg5pyjgvbugzqsi6g4x7c73m.py
2022-11-23T02:04:40.3238242Z [2022-11-23 02:03:21,749] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 416
2022-11-23T02:04:40.3238264Z 
2022-11-23T02:04:40.3238406Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3238510Z import torch
2022-11-23T02:04:40.3238614Z import random
2022-11-23T02:04:40.3238781Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3238955Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3238974Z 
2022-11-23T02:04:40.3239092Z aten = torch.ops.aten
2022-11-23T02:04:40.3239262Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3239398Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3239483Z 
2022-11-23T02:04:40.3239501Z 
2022-11-23T02:04:40.3239704Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3239989Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3240164Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.3240314Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3240461Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3240556Z {
2022-11-23T02:04:40.3240680Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3240773Z     {
2022-11-23T02:04:40.3240906Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3241027Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3241122Z         {
2022-11-23T02:04:40.3241252Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3241329Z             {
2022-11-23T02:04:40.3241431Z                 {
2022-11-23T02:04:40.3241534Z                     {
2022-11-23T02:04:40.3241687Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T02:04:40.3241833Z                         auto tmp1 = in_ptr1[i0 + (10*i1)];
2022-11-23T02:04:40.3241973Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.3242164Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.3242253Z                     }
2022-11-23T02:04:40.3242351Z                 }
2022-11-23T02:04:40.3242446Z             }
2022-11-23T02:04:40.3242541Z         }
2022-11-23T02:04:40.3242635Z     }
2022-11-23T02:04:40.3242726Z }
2022-11-23T02:04:40.3242852Z ''')
2022-11-23T02:04:40.3242871Z 
2022-11-23T02:04:40.3242889Z 
2022-11-23T02:04:40.3243004Z async_compile.wait(globals())
2022-11-23T02:04:40.3243113Z del async_compile
2022-11-23T02:04:40.3243132Z 
2022-11-23T02:04:40.3243243Z def call(args):
2022-11-23T02:04:40.3243359Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3243465Z     args.clear()
2022-11-23T02:04:40.3243742Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3243978Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3244080Z     del arg0_1
2022-11-23T02:04:40.3244162Z     del arg1_1
2022-11-23T02:04:40.3244268Z     return (buf0, )
2022-11-23T02:04:40.3244293Z 
2022-11-23T02:04:40.3244312Z 
2022-11-23T02:04:40.3244426Z if __name__ == "__main__":
2022-11-23T02:04:40.3244592Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3244766Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3245042Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3245316Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3245462Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3245500Z 
2022-11-23T02:04:40.3245582Z ok (2.637s)
2022-11-23T02:04:40.3246036Z   test_cpu_double_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:21,756] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3246467Z [2022-11-23 02:03:21,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3246767Z [2022-11-23 02:03:21,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3247111Z [2022-11-23 02:03:21,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3247491Z [2022-11-23 02:03:21,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3247920Z [2022-11-23 02:03:21,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3248380Z [2022-11-23 02:03:21,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3248906Z [2022-11-23 02:03:21,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3249414Z [2022-11-23 02:03:21,757] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3249531Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3249664Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3249774Z               4 BINARY_ADD
2022-11-23T02:04:40.3249909Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3250024Z               8 RETURN_VALUE
2022-11-23T02:04:40.3250118Z  
2022-11-23T02:04:40.3250137Z 
2022-11-23T02:04:40.3250565Z [2022-11-23 02:03:21,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3250840Z [2022-11-23 02:03:21,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3251162Z [2022-11-23 02:03:21,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3251668Z [2022-11-23 02:03:21,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3252000Z [2022-11-23 02:03:21,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3252332Z [2022-11-23 02:03:21,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3252847Z [2022-11-23 02:03:21,760] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3253181Z [2022-11-23 02:03:21,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3253503Z [2022-11-23 02:03:21,760] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3253854Z [2022-11-23 02:03:21,762] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3254190Z [2022-11-23 02:03:21,767] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3254431Z [2022-11-23 02:03:21,768] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3254624Z  __compiled_fn_425 <eval_with_key>.3029 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3254756Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3254884Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3255132Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3255271Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3255291Z 
2022-11-23T02:04:40.3255727Z [2022-11-23 02:03:21,768] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3255869Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3255982Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3256688Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3256914Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3257111Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3257319Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3257499Z              12 RETURN_VALUE
2022-11-23T02:04:40.3257527Z 
2022-11-23T02:04:40.3257677Z  
2022-11-23T02:04:40.3258366Z [2022-11-23 02:03:21,768] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3258532Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_425)
2022-11-23T02:04:40.3258819Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3258948Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3259061Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3259189Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3259321Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3259435Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3259545Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3259693Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3259838Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3259966Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3260078Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3260204Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3260316Z              26 RETURN_VALUE
2022-11-23T02:04:40.3260336Z 
2022-11-23T02:04:40.3260411Z  
2022-11-23T02:04:40.3260671Z [2022-11-23 02:03:21,770] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3260783Z  - 
2022-11-23T02:04:40.3260951Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3261048Z             {
2022-11-23T02:04:40.3261243Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3261568Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3261727Z                 'obj_weakref': None
2022-11-23T02:04:40.3262033Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3262131Z             }
2022-11-23T02:04:40.3262227Z             
2022-11-23T02:04:40.3262335Z  - 
2022-11-23T02:04:40.3262515Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3262610Z             {
2022-11-23T02:04:40.3262791Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3262944Z                 'code': None,
2022-11-23T02:04:40.3263233Z                 'obj_weakref': <weakref at 0x7fa62380e160; to 'Tensor' at 0x7fa531f33b00>
2022-11-23T02:04:40.3263577Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3263675Z             }
2022-11-23T02:04:40.3263770Z             
2022-11-23T02:04:40.3263877Z  - 
2022-11-23T02:04:40.3264036Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3264135Z             {
2022-11-23T02:04:40.3264329Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3264483Z                 'code': None,
2022-11-23T02:04:40.3264771Z                 'obj_weakref': <weakref at 0x7fa53c3e0770; to 'Tensor' at 0x7fa5501117b0>
2022-11-23T02:04:40.3265106Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3265204Z             }
2022-11-23T02:04:40.3265282Z             
2022-11-23T02:04:40.3265389Z  - 
2022-11-23T02:04:40.3265571Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3265667Z             {
2022-11-23T02:04:40.3265861Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3266095Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3266263Z                 'obj_weakref': None
2022-11-23T02:04:40.3266553Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3266655Z             }
2022-11-23T02:04:40.3266751Z             
2022-11-23T02:04:40.3266855Z  - 
2022-11-23T02:04:40.3267027Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3267124Z             {
2022-11-23T02:04:40.3267313Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3267589Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3267756Z                 'obj_weakref': None
2022-11-23T02:04:40.3268056Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3268241Z             }
2022-11-23T02:04:40.3268336Z             
2022-11-23T02:04:40.3268692Z [2022-11-23 02:03:21,779] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 417
2022-11-23T02:04:40.3269183Z [2022-11-23 02:03:24,388] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jl/cjlqdtxl2w7pm2dnzzehd4phon7ix26en2yfcabssbhozdsymwtf.py
2022-11-23T02:04:40.3269539Z [2022-11-23 02:03:24,388] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 417
2022-11-23T02:04:40.3269559Z 
2022-11-23T02:04:40.3269676Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3269782Z import torch
2022-11-23T02:04:40.3269886Z import random
2022-11-23T02:04:40.3270053Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3270226Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3270247Z 
2022-11-23T02:04:40.3270369Z aten = torch.ops.aten
2022-11-23T02:04:40.3270559Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3270698Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3270717Z 
2022-11-23T02:04:40.3270736Z 
2022-11-23T02:04:40.3270908Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3271235Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3271413Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T02:04:40.3271564Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3271709Z                        double* __restrict__ out_ptr0)
2022-11-23T02:04:40.3271801Z {
2022-11-23T02:04:40.3271946Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3272021Z     {
2022-11-23T02:04:40.3272154Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3272275Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3272373Z         {
2022-11-23T02:04:40.3272498Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3272595Z             {
2022-11-23T02:04:40.3272697Z                 {
2022-11-23T02:04:40.3272778Z                     {
2022-11-23T02:04:40.3272927Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T02:04:40.3273060Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T02:04:40.3273222Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T02:04:40.3273364Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:40.3273502Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.3273677Z                     }
2022-11-23T02:04:40.3273817Z                 }
2022-11-23T02:04:40.3273913Z             }
2022-11-23T02:04:40.3274006Z         }
2022-11-23T02:04:40.3274101Z     }
2022-11-23T02:04:40.3274192Z }
2022-11-23T02:04:40.3274311Z ''')
2022-11-23T02:04:40.3274331Z 
2022-11-23T02:04:40.3274349Z 
2022-11-23T02:04:40.3274487Z async_compile.wait(globals())
2022-11-23T02:04:40.3274578Z del async_compile
2022-11-23T02:04:40.3274597Z 
2022-11-23T02:04:40.3274705Z def call(args):
2022-11-23T02:04:40.3274821Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3274931Z     args.clear()
2022-11-23T02:04:40.3275205Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3275436Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3275541Z     del arg0_1
2022-11-23T02:04:40.3275623Z     del arg1_1
2022-11-23T02:04:40.3275732Z     return (buf0, )
2022-11-23T02:04:40.3275753Z 
2022-11-23T02:04:40.3275771Z 
2022-11-23T02:04:40.3275884Z if __name__ == "__main__":
2022-11-23T02:04:40.3276046Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3276222Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3276499Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3276764Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3276928Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3277015Z 
2022-11-23T02:04:40.3277104Z ok (2.639s)
2022-11-23T02:04:40.3277577Z   test_cpu_double_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:24,395] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3278004Z [2022-11-23 02:03:24,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3278304Z [2022-11-23 02:03:24,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3278645Z [2022-11-23 02:03:24,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3279017Z [2022-11-23 02:03:24,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3279445Z [2022-11-23 02:03:24,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3279914Z [2022-11-23 02:03:24,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3280395Z [2022-11-23 02:03:24,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3280903Z [2022-11-23 02:03:24,396] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3281037Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3281152Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3281261Z               4 BINARY_ADD
2022-11-23T02:04:40.3281394Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3281508Z               8 RETURN_VALUE
2022-11-23T02:04:40.3281600Z  
2022-11-23T02:04:40.3281623Z 
2022-11-23T02:04:40.3282043Z [2022-11-23 02:03:24,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3282336Z [2022-11-23 02:03:24,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3282642Z [2022-11-23 02:03:24,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3283011Z [2022-11-23 02:03:24,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3283337Z [2022-11-23 02:03:24,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3283675Z [2022-11-23 02:03:24,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3284187Z [2022-11-23 02:03:24,400] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3284526Z [2022-11-23 02:03:24,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3284851Z [2022-11-23 02:03:24,400] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3285197Z [2022-11-23 02:03:24,402] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3285537Z [2022-11-23 02:03:24,406] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3285794Z [2022-11-23 02:03:24,407] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3285969Z  __compiled_fn_426 <eval_with_key>.3035 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3286099Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3286235Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3286485Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3286697Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3286717Z 
2022-11-23T02:04:40.3287156Z [2022-11-23 02:03:24,407] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3287294Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3287424Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3287532Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3287668Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3287793Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3287923Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3288034Z              12 RETURN_VALUE
2022-11-23T02:04:40.3288054Z 
2022-11-23T02:04:40.3288150Z  
2022-11-23T02:04:40.3288582Z [2022-11-23 02:03:24,407] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3288725Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_426)
2022-11-23T02:04:40.3288860Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3288989Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3289163Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3289380Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3289509Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3289623Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3289752Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3289882Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3290026Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3290155Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3290273Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3290400Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3290519Z              26 RETURN_VALUE
2022-11-23T02:04:40.3290539Z 
2022-11-23T02:04:40.3290633Z  
2022-11-23T02:04:40.3290874Z [2022-11-23 02:03:24,409] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3290979Z  - 
2022-11-23T02:04:40.3291151Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3291250Z             {
2022-11-23T02:04:40.3291447Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3291706Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3291879Z                 'obj_weakref': None
2022-11-23T02:04:40.3292166Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3292268Z             }
2022-11-23T02:04:40.3292369Z             
2022-11-23T02:04:40.3292473Z  - 
2022-11-23T02:04:40.3292652Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3292747Z             {
2022-11-23T02:04:40.3292948Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3293087Z                 'code': None,
2022-11-23T02:04:40.3293369Z                 'obj_weakref': <weakref at 0x7fa53222c220; to 'Tensor' at 0x7fa53200c0e0>
2022-11-23T02:04:40.3293706Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3293805Z             }
2022-11-23T02:04:40.3293898Z             
2022-11-23T02:04:40.3294007Z  - 
2022-11-23T02:04:40.3294182Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3294258Z             {
2022-11-23T02:04:40.3294455Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3294607Z                 'code': None,
2022-11-23T02:04:40.3294891Z                 'obj_weakref': <weakref at 0x7fa5042ffbf0; to 'Tensor' at 0x7fa62380e480>
2022-11-23T02:04:40.3295231Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3295329Z             }
2022-11-23T02:04:40.3295507Z             
2022-11-23T02:04:40.3295598Z  - 
2022-11-23T02:04:40.3295781Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3295880Z             {
2022-11-23T02:04:40.3296547Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3296991Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3297272Z                 'obj_weakref': None
2022-11-23T02:04:40.3297803Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3297934Z             }
2022-11-23T02:04:40.3298085Z             
2022-11-23T02:04:40.3298198Z  - 
2022-11-23T02:04:40.3298373Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3298469Z             {
2022-11-23T02:04:40.3298663Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3298958Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3299106Z                 'obj_weakref': None
2022-11-23T02:04:40.3299413Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3299511Z             }
2022-11-23T02:04:40.3299606Z             
2022-11-23T02:04:40.3300107Z [2022-11-23 02:03:24,418] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 418
2022-11-23T02:04:40.3300606Z [2022-11-23 02:03:27,046] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kj/ckjtauql5gvhpgaw5d554b4qi7eeurmnfhfnqs5xc5qjygohwvo3.py
2022-11-23T02:04:40.3300968Z [2022-11-23 02:03:27,046] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 418
2022-11-23T02:04:40.3300988Z 
2022-11-23T02:04:40.3301126Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3301213Z import torch
2022-11-23T02:04:40.3301321Z import random
2022-11-23T02:04:40.3301485Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3301658Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3301682Z 
2022-11-23T02:04:40.3301798Z aten = torch.ops.aten
2022-11-23T02:04:40.3301990Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3302126Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3302147Z 
2022-11-23T02:04:40.3302168Z 
2022-11-23T02:04:40.3302363Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3302623Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3302793Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T02:04:40.3302943Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3303090Z                        double* __restrict__ out_ptr0)
2022-11-23T02:04:40.3303183Z {
2022-11-23T02:04:40.3303325Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3303420Z     {
2022-11-23T02:04:40.3303533Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3303653Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3303752Z         {
2022-11-23T02:04:40.3303879Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3303976Z             {
2022-11-23T02:04:40.3304076Z                 {
2022-11-23T02:04:40.3304177Z                     {
2022-11-23T02:04:40.3304308Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T02:04:40.3304446Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.3304609Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T02:04:40.3304745Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:40.3304885Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.3304991Z                     }
2022-11-23T02:04:40.3305091Z                 }
2022-11-23T02:04:40.3305169Z             }
2022-11-23T02:04:40.3305267Z         }
2022-11-23T02:04:40.3305358Z     }
2022-11-23T02:04:40.3305449Z }
2022-11-23T02:04:40.3305571Z ''')
2022-11-23T02:04:40.3305591Z 
2022-11-23T02:04:40.3305609Z 
2022-11-23T02:04:40.3305846Z async_compile.wait(globals())
2022-11-23T02:04:40.3305958Z del async_compile
2022-11-23T02:04:40.3305977Z 
2022-11-23T02:04:40.3306064Z def call(args):
2022-11-23T02:04:40.3306178Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3306284Z     args.clear()
2022-11-23T02:04:40.3306576Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3306812Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3306918Z     del arg0_1
2022-11-23T02:04:40.3307076Z     del arg1_1
2022-11-23T02:04:40.3307165Z     return (buf0, )
2022-11-23T02:04:40.3307185Z 
2022-11-23T02:04:40.3307226Z 
2022-11-23T02:04:40.3307320Z if __name__ == "__main__":
2022-11-23T02:04:40.3307482Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3307657Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3307937Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3308222Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3308388Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3308407Z 
2022-11-23T02:04:40.3308510Z ok (2.658s)
2022-11-23T02:04:40.3309056Z   test_cpu_double_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:27,053] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3309492Z [2022-11-23 02:03:27,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3309796Z [2022-11-23 02:03:27,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3310138Z [2022-11-23 02:03:27,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3310511Z [2022-11-23 02:03:27,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3310947Z [2022-11-23 02:03:27,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3311413Z [2022-11-23 02:03:27,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3311844Z [2022-11-23 02:03:27,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3312347Z [2022-11-23 02:03:27,054] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3312483Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3312616Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3312716Z               4 BINARY_ADD
2022-11-23T02:04:40.3312843Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3312954Z               8 RETURN_VALUE
2022-11-23T02:04:40.3313046Z  
2022-11-23T02:04:40.3313066Z 
2022-11-23T02:04:40.3313490Z [2022-11-23 02:03:27,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3313780Z [2022-11-23 02:03:27,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3314100Z [2022-11-23 02:03:27,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3314463Z [2022-11-23 02:03:27,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3314772Z [2022-11-23 02:03:27,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3315103Z [2022-11-23 02:03:27,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3315680Z [2022-11-23 02:03:27,058] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3316016Z [2022-11-23 02:03:27,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3316332Z [2022-11-23 02:03:27,058] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3316676Z [2022-11-23 02:03:27,059] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3317021Z [2022-11-23 02:03:27,064] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3317281Z [2022-11-23 02:03:27,065] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3317473Z  __compiled_fn_427 <eval_with_key>.3041 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3317590Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3317718Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3317965Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3318154Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3318175Z 
2022-11-23T02:04:40.3318617Z [2022-11-23 02:03:27,065] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3318752Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3318883Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3319010Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3319127Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3319253Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3319382Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3319496Z              12 RETURN_VALUE
2022-11-23T02:04:40.3319518Z 
2022-11-23T02:04:40.3319611Z  
2022-11-23T02:04:40.3320045Z [2022-11-23 02:03:27,066] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3320206Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_427)
2022-11-23T02:04:40.3320321Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3320455Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3320571Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3320699Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3320829Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3320939Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3321067Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3321202Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3321350Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3321489Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3321605Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3321735Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3321846Z              26 RETURN_VALUE
2022-11-23T02:04:40.3321866Z 
2022-11-23T02:04:40.3321960Z  
2022-11-23T02:04:40.3322220Z [2022-11-23 02:03:27,067] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3322308Z  - 
2022-11-23T02:04:40.3322474Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3322572Z             {
2022-11-23T02:04:40.3322773Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3323033Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3323202Z                 'obj_weakref': None
2022-11-23T02:04:40.3323513Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3323593Z             }
2022-11-23T02:04:40.3323689Z             
2022-11-23T02:04:40.3323895Z  - 
2022-11-23T02:04:40.3324075Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3324174Z             {
2022-11-23T02:04:40.3324372Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3324525Z                 'code': None,
2022-11-23T02:04:40.3324799Z                 'obj_weakref': <weakref at 0x7fa53222d620; to 'Tensor' at 0x7fa51c200d10>
2022-11-23T02:04:40.3325141Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3325239Z             }
2022-11-23T02:04:40.3325334Z             
2022-11-23T02:04:40.3325441Z  - 
2022-11-23T02:04:40.3325617Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3325714Z             {
2022-11-23T02:04:40.3325893Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3326049Z                 'code': None,
2022-11-23T02:04:40.3326332Z                 'obj_weakref': <weakref at 0x7fa532225df0; to 'Tensor' at 0x7fa53200c0e0>
2022-11-23T02:04:40.3326675Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3326775Z             }
2022-11-23T02:04:40.3326871Z             
2022-11-23T02:04:40.3326978Z  - 
2022-11-23T02:04:40.3327212Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3327315Z             {
2022-11-23T02:04:40.3327509Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3327743Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3327911Z                 'obj_weakref': None
2022-11-23T02:04:40.3328226Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3328322Z             }
2022-11-23T02:04:40.3328399Z             
2022-11-23T02:04:40.3328506Z  - 
2022-11-23T02:04:40.3328679Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3328777Z             {
2022-11-23T02:04:40.3328969Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3329266Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3329433Z                 'obj_weakref': None
2022-11-23T02:04:40.3329717Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3329816Z             }
2022-11-23T02:04:40.3329914Z             
2022-11-23T02:04:40.3330264Z [2022-11-23 02:03:27,075] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 419
2022-11-23T02:04:40.3330763Z [2022-11-23 02:03:29,685] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oy/coydpnuywp24yzyla7bw2jehyo6jqwrgakhfuxjmduoaihwou74h.py
2022-11-23T02:04:40.3331123Z [2022-11-23 02:03:29,685] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 419
2022-11-23T02:04:40.3331143Z 
2022-11-23T02:04:40.3331281Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3331391Z import torch
2022-11-23T02:04:40.3331483Z import random
2022-11-23T02:04:40.3331648Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3331819Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3331841Z 
2022-11-23T02:04:40.3331959Z aten = torch.ops.aten
2022-11-23T02:04:40.3332150Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3332289Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3332308Z 
2022-11-23T02:04:40.3332326Z 
2022-11-23T02:04:40.3332525Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3332806Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3332959Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T02:04:40.3333108Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3333252Z                        double* __restrict__ out_ptr0)
2022-11-23T02:04:40.3333348Z {
2022-11-23T02:04:40.3333635Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3333731Z     {
2022-11-23T02:04:40.3333847Z         #pragma omp for 
2022-11-23T02:04:40.3333950Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T02:04:40.3334048Z         {
2022-11-23T02:04:40.3334144Z             {
2022-11-23T02:04:40.3334245Z                 {
2022-11-23T02:04:40.3334382Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.3334511Z                     auto tmp1 = in_ptr1[0];
2022-11-23T02:04:40.3334667Z                     auto tmp2 = static_cast<double>(tmp1);
2022-11-23T02:04:40.3334782Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:40.3334907Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:40.3335005Z                 }
2022-11-23T02:04:40.3335103Z             }
2022-11-23T02:04:40.3335196Z         }
2022-11-23T02:04:40.3335289Z     }
2022-11-23T02:04:40.3335362Z }
2022-11-23T02:04:40.3335488Z ''')
2022-11-23T02:04:40.3335508Z 
2022-11-23T02:04:40.3335526Z 
2022-11-23T02:04:40.3335665Z async_compile.wait(globals())
2022-11-23T02:04:40.3335775Z del async_compile
2022-11-23T02:04:40.3335794Z 
2022-11-23T02:04:40.3335900Z def call(args):
2022-11-23T02:04:40.3336012Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3336749Z     args.clear()
2022-11-23T02:04:40.3337404Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3337776Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3337947Z     del arg0_1
2022-11-23T02:04:40.3338104Z     del arg1_1
2022-11-23T02:04:40.3338245Z     return (buf0, )
2022-11-23T02:04:40.3338266Z 
2022-11-23T02:04:40.3338284Z 
2022-11-23T02:04:40.3338398Z if __name__ == "__main__":
2022-11-23T02:04:40.3338560Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3338733Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3339001Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3339265Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3339428Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3339448Z 
2022-11-23T02:04:40.3339549Z ok (2.639s)
2022-11-23T02:04:40.3340001Z   test_cpu_double_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:29,692] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3340427Z [2022-11-23 02:03:29,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3340723Z [2022-11-23 02:03:29,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3341068Z [2022-11-23 02:03:29,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3341444Z [2022-11-23 02:03:29,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3341877Z [2022-11-23 02:03:29,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3342323Z [2022-11-23 02:03:29,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3342754Z [2022-11-23 02:03:29,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3343259Z [2022-11-23 02:03:29,693] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3343390Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3343522Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3343632Z               4 BINARY_ADD
2022-11-23T02:04:40.3343854Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3343966Z               8 RETURN_VALUE
2022-11-23T02:04:40.3344040Z  
2022-11-23T02:04:40.3344060Z 
2022-11-23T02:04:40.3344488Z [2022-11-23 02:03:29,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3344772Z [2022-11-23 02:03:29,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3345093Z [2022-11-23 02:03:29,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3345463Z [2022-11-23 02:03:29,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3345789Z [2022-11-23 02:03:29,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3346123Z [2022-11-23 02:03:29,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3346641Z [2022-11-23 02:03:29,699] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3347018Z [2022-11-23 02:03:29,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3347343Z [2022-11-23 02:03:29,700] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3347666Z [2022-11-23 02:03:29,701] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3348003Z [2022-11-23 02:03:29,706] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3348261Z [2022-11-23 02:03:29,706] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3348449Z  __compiled_fn_428 <eval_with_key>.3047 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3348580Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3348712Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3348956Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3349094Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3349114Z 
2022-11-23T02:04:40.3349532Z [2022-11-23 02:03:29,707] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3349671Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3349803Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3349931Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3350066Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3350191Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3350320Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3350412Z              12 RETURN_VALUE
2022-11-23T02:04:40.3350451Z 
2022-11-23T02:04:40.3350531Z  
2022-11-23T02:04:40.3350960Z [2022-11-23 02:03:29,707] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3351116Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_428)
2022-11-23T02:04:40.3351252Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3351382Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3351495Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3351623Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3351731Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3351842Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3351968Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3352198Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3352347Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3352474Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3352645Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3352755Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3352868Z              26 RETURN_VALUE
2022-11-23T02:04:40.3352889Z 
2022-11-23T02:04:40.3352981Z  
2022-11-23T02:04:40.3353247Z [2022-11-23 02:03:29,708] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3353354Z  - 
2022-11-23T02:04:40.3353523Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3353621Z             {
2022-11-23T02:04:40.3353798Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3354053Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3354221Z                 'obj_weakref': None
2022-11-23T02:04:40.3354526Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3354623Z             }
2022-11-23T02:04:40.3354719Z             
2022-11-23T02:04:40.3354821Z  - 
2022-11-23T02:04:40.3354983Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3355079Z             {
2022-11-23T02:04:40.3355276Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3355430Z                 'code': None,
2022-11-23T02:04:40.3355775Z                 'obj_weakref': <weakref at 0x7fa53c3553f0; to 'Tensor' at 0x7fa53c4a8220>
2022-11-23T02:04:40.3356122Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3356219Z             }
2022-11-23T02:04:40.3356314Z             
2022-11-23T02:04:40.3356403Z  - 
2022-11-23T02:04:40.3356573Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3356669Z             {
2022-11-23T02:04:40.3356871Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3357023Z                 'code': None,
2022-11-23T02:04:40.3357311Z                 'obj_weakref': <weakref at 0x7fa53c355ad0; to 'Tensor' at 0x7fa51c200d10>
2022-11-23T02:04:40.3357646Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3357729Z             }
2022-11-23T02:04:40.3357825Z             
2022-11-23T02:04:40.3357935Z  - 
2022-11-23T02:04:40.3358120Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3358221Z             {
2022-11-23T02:04:40.3358409Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3358624Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3358793Z                 'obj_weakref': None
2022-11-23T02:04:40.3359105Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3359202Z             }
2022-11-23T02:04:40.3359297Z             
2022-11-23T02:04:40.3359402Z  - 
2022-11-23T02:04:40.3359575Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3359651Z             {
2022-11-23T02:04:40.3359841Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3360142Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3360310Z                 'obj_weakref': None
2022-11-23T02:04:40.3360615Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3360715Z             }
2022-11-23T02:04:40.3360811Z             
2022-11-23T02:04:40.3361166Z [2022-11-23 02:03:29,717] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 420
2022-11-23T02:04:40.3361650Z [2022-11-23 02:03:32,350] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d7/cd756qeeailfynkzdyhwuemdzu4ly2clqnmugn3nwvpwapno7kmz.py
2022-11-23T02:04:40.3362007Z [2022-11-23 02:03:32,350] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 420
2022-11-23T02:04:40.3362028Z 
2022-11-23T02:04:40.3362169Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3362276Z import torch
2022-11-23T02:04:40.3362381Z import random
2022-11-23T02:04:40.3362612Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3362787Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3362806Z 
2022-11-23T02:04:40.3362927Z aten = torch.ops.aten
2022-11-23T02:04:40.3363100Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3363237Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3363257Z 
2022-11-23T02:04:40.3363275Z 
2022-11-23T02:04:40.3363471Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3363751Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3363924Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T02:04:40.3364076Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3364222Z                        double* __restrict__ out_ptr0)
2022-11-23T02:04:40.3364315Z {
2022-11-23T02:04:40.3364437Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3364537Z     {
2022-11-23T02:04:40.3364652Z         #pragma omp for 
2022-11-23T02:04:40.3364775Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T02:04:40.3364872Z         {
2022-11-23T02:04:40.3364969Z             {
2022-11-23T02:04:40.3365047Z                 {
2022-11-23T02:04:40.3365241Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.3365381Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.3365538Z                     auto tmp2 = static_cast<double>(tmp1);
2022-11-23T02:04:40.3365670Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:40.3365799Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:40.3365897Z                 }
2022-11-23T02:04:40.3365974Z             }
2022-11-23T02:04:40.3366070Z         }
2022-11-23T02:04:40.3366161Z     }
2022-11-23T02:04:40.3366253Z }
2022-11-23T02:04:40.3366379Z ''')
2022-11-23T02:04:40.3366399Z 
2022-11-23T02:04:40.3366417Z 
2022-11-23T02:04:40.3366551Z async_compile.wait(globals())
2022-11-23T02:04:40.3366667Z del async_compile
2022-11-23T02:04:40.3366686Z 
2022-11-23T02:04:40.3366792Z def call(args):
2022-11-23T02:04:40.3366888Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3366995Z     args.clear()
2022-11-23T02:04:40.3367280Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3367513Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3367617Z     del arg0_1
2022-11-23T02:04:40.3367719Z     del arg1_1
2022-11-23T02:04:40.3367832Z     return (buf0, )
2022-11-23T02:04:40.3367852Z 
2022-11-23T02:04:40.3367870Z 
2022-11-23T02:04:40.3367965Z if __name__ == "__main__":
2022-11-23T02:04:40.3368128Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3368309Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3368589Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3368862Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3369030Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3369049Z 
2022-11-23T02:04:40.3369150Z ok (2.665s)
2022-11-23T02:04:40.3369602Z   test_cpu_double_double (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:32,357] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3370012Z [2022-11-23 02:03:32,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3370321Z [2022-11-23 02:03:32,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3370658Z [2022-11-23 02:03:32,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3371030Z [2022-11-23 02:03:32,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3371526Z [2022-11-23 02:03:32,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3371994Z [2022-11-23 02:03:32,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3372428Z [2022-11-23 02:03:32,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3372937Z [2022-11-23 02:03:32,358] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3373073Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3373205Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3373296Z               4 BINARY_ADD
2022-11-23T02:04:40.3373426Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3373541Z               8 RETURN_VALUE
2022-11-23T02:04:40.3373635Z  
2022-11-23T02:04:40.3373655Z 
2022-11-23T02:04:40.3374132Z [2022-11-23 02:03:32,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3374430Z [2022-11-23 02:03:32,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3374751Z [2022-11-23 02:03:32,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3375120Z [2022-11-23 02:03:32,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3375426Z [2022-11-23 02:03:32,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3375760Z [2022-11-23 02:03:32,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3376985Z [2022-11-23 02:03:32,361] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3377615Z [2022-11-23 02:03:32,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3378181Z [2022-11-23 02:03:32,361] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3378605Z [2022-11-23 02:03:32,363] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3378942Z [2022-11-23 02:03:32,368] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3379205Z [2022-11-23 02:03:32,368] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3379393Z  __compiled_fn_429 <eval_with_key>.3053 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3379504Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3379639Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3379887Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3380028Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3380048Z 
2022-11-23T02:04:40.3380483Z [2022-11-23 02:03:32,369] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3380621Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3380756Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3380880Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3380997Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3381126Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3381252Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3381365Z              12 RETURN_VALUE
2022-11-23T02:04:40.3381385Z 
2022-11-23T02:04:40.3381478Z  
2022-11-23T02:04:40.3382076Z [2022-11-23 02:03:32,369] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3382236Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_429)
2022-11-23T02:04:40.3382373Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3382487Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3382602Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3382734Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3382863Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3382976Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3383105Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3383255Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3383380Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3383511Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3383628Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3383755Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3383868Z              26 RETURN_VALUE
2022-11-23T02:04:40.3383888Z 
2022-11-23T02:04:40.3383981Z  
2022-11-23T02:04:40.3384327Z [2022-11-23 02:03:32,370] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3384425Z  - 
2022-11-23T02:04:40.3384595Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3384697Z             {
2022-11-23T02:04:40.3384897Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3385152Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3385322Z                 'obj_weakref': None
2022-11-23T02:04:40.3385627Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3385705Z             }
2022-11-23T02:04:40.3385803Z             
2022-11-23T02:04:40.3385909Z  - 
2022-11-23T02:04:40.3386087Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3386192Z             {
2022-11-23T02:04:40.3386387Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3386541Z                 'code': None,
2022-11-23T02:04:40.3386813Z                 'obj_weakref': <weakref at 0x7fa53200d0d0; to 'Tensor' at 0x7fa51c2d9030>
2022-11-23T02:04:40.3387152Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3387247Z             }
2022-11-23T02:04:40.3387346Z             
2022-11-23T02:04:40.3387457Z  - 
2022-11-23T02:04:40.3387632Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3387731Z             {
2022-11-23T02:04:40.3387910Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3388064Z                 'code': None,
2022-11-23T02:04:40.3388341Z                 'obj_weakref': <weakref at 0x7fa62380e520; to 'Tensor' at 0x7fa53222fba0>
2022-11-23T02:04:40.3396517Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3396636Z             }
2022-11-23T02:04:40.3396741Z             
2022-11-23T02:04:40.3396855Z  - 
2022-11-23T02:04:40.3397046Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3397148Z             {
2022-11-23T02:04:40.3397326Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3397569Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3397746Z                 'obj_weakref': None
2022-11-23T02:04:40.3398065Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3398169Z             }
2022-11-23T02:04:40.3398273Z             
2022-11-23T02:04:40.3398385Z  - 
2022-11-23T02:04:40.3398541Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3398644Z             {
2022-11-23T02:04:40.3398844Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3399145Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3399468Z                 'obj_weakref': None
2022-11-23T02:04:40.3399774Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3399879Z             }
2022-11-23T02:04:40.3399981Z             
2022-11-23T02:04:40.3400319Z [2022-11-23 02:03:32,378] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 421
2022-11-23T02:04:40.3400822Z [2022-11-23 02:03:35,014] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cd/ccduwsasqgejrh2ujhpsnqcexfdu7vccwqcp5lc4zmfzudyq3wzd.py
2022-11-23T02:04:40.3401186Z [2022-11-23 02:03:35,014] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 421
2022-11-23T02:04:40.3401208Z 
2022-11-23T02:04:40.3401351Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3401463Z import torch
2022-11-23T02:04:40.3401572Z import random
2022-11-23T02:04:40.3401742Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3401924Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3401944Z 
2022-11-23T02:04:40.3402043Z aten = torch.ops.aten
2022-11-23T02:04:40.3402235Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3402485Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3402506Z 
2022-11-23T02:04:40.3402525Z 
2022-11-23T02:04:40.3402733Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3403018Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3403197Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T02:04:40.3403354Z                        const double* __restrict__ in_ptr1,
2022-11-23T02:04:40.3403507Z                        double* __restrict__ out_ptr0)
2022-11-23T02:04:40.3403582Z {
2022-11-23T02:04:40.3403729Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3403832Z     {
2022-11-23T02:04:40.3403960Z         #pragma omp for 
2022-11-23T02:04:40.3404087Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T02:04:40.3404190Z         {
2022-11-23T02:04:40.3404267Z             {
2022-11-23T02:04:40.3404371Z                 {
2022-11-23T02:04:40.3404514Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.3404654Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.3404789Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.3404920Z                     out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.3405026Z                 }
2022-11-23T02:04:40.3405104Z             }
2022-11-23T02:04:40.3405206Z         }
2022-11-23T02:04:40.3405307Z     }
2022-11-23T02:04:40.3405403Z }
2022-11-23T02:04:40.3405532Z ''')
2022-11-23T02:04:40.3405551Z 
2022-11-23T02:04:40.3405572Z 
2022-11-23T02:04:40.3405708Z async_compile.wait(globals())
2022-11-23T02:04:40.3405822Z del async_compile
2022-11-23T02:04:40.3405841Z 
2022-11-23T02:04:40.3405928Z def call(args):
2022-11-23T02:04:40.3406056Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3406172Z     args.clear()
2022-11-23T02:04:40.3406450Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3406687Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3406798Z     del arg0_1
2022-11-23T02:04:40.3406903Z     del arg1_1
2022-11-23T02:04:40.3406993Z     return (buf0, )
2022-11-23T02:04:40.3407034Z 
2022-11-23T02:04:40.3407052Z 
2022-11-23T02:04:40.3407148Z if __name__ == "__main__":
2022-11-23T02:04:40.3407317Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3407501Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3407781Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3408056Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3408228Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3408307Z 
2022-11-23T02:04:40.3408420Z ok (2.663s)
2022-11-23T02:04:40.3408872Z   test_cpu_double_int (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:35,021] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3409285Z [2022-11-23 02:03:35,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3409591Z [2022-11-23 02:03:35,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3409941Z [2022-11-23 02:03:35,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3410326Z [2022-11-23 02:03:35,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3410758Z [2022-11-23 02:03:35,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3411227Z [2022-11-23 02:03:35,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3411711Z [2022-11-23 02:03:35,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3412242Z [2022-11-23 02:03:35,022] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3412385Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3412528Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3412620Z               4 BINARY_ADD
2022-11-23T02:04:40.3412757Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3412879Z               8 RETURN_VALUE
2022-11-23T02:04:40.3412978Z  
2022-11-23T02:04:40.3413002Z 
2022-11-23T02:04:40.3413427Z [2022-11-23 02:03:35,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3413718Z [2022-11-23 02:03:35,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3414049Z [2022-11-23 02:03:35,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3414421Z [2022-11-23 02:03:35,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3414734Z [2022-11-23 02:03:35,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3415074Z [2022-11-23 02:03:35,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3415594Z [2022-11-23 02:03:35,025] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3415933Z [2022-11-23 02:03:35,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3416938Z [2022-11-23 02:03:35,025] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3417567Z [2022-11-23 02:03:35,028] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3418061Z [2022-11-23 02:03:35,032] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3418335Z [2022-11-23 02:03:35,033] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3418530Z  __compiled_fn_430 <eval_with_key>.3059 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3418642Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3418775Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3419025Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3419345Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3419365Z 
2022-11-23T02:04:40.3419815Z [2022-11-23 02:03:35,033] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3419961Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3420103Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3420236Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3420352Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3420480Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3420612Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3420728Z              12 RETURN_VALUE
2022-11-23T02:04:40.3420749Z 
2022-11-23T02:04:40.3420847Z  
2022-11-23T02:04:40.3421287Z [2022-11-23 02:03:35,033] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3421452Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_430)
2022-11-23T02:04:40.3421591Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3421705Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3421894Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3422036Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3422171Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3422290Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3422424Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3422583Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3422710Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3422844Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3422961Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3423097Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3423223Z              26 RETURN_VALUE
2022-11-23T02:04:40.3423244Z 
2022-11-23T02:04:40.3423340Z  
2022-11-23T02:04:40.3423601Z [2022-11-23 02:03:35,035] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3423689Z  - 
2022-11-23T02:04:40.3423859Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3423966Z             {
2022-11-23T02:04:40.3424169Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3424434Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3424608Z                 'obj_weakref': None
2022-11-23T02:04:40.3424920Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3424999Z             }
2022-11-23T02:04:40.3425100Z             
2022-11-23T02:04:40.3425213Z  - 
2022-11-23T02:04:40.3425395Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3425499Z             {
2022-11-23T02:04:40.3425707Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3425869Z                 'code': None,
2022-11-23T02:04:40.3426136Z                 'obj_weakref': <weakref at 0x7fa51c277ce0; to 'Tensor' at 0x7fa5322ee5c0>
2022-11-23T02:04:40.3426482Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3426582Z             }
2022-11-23T02:04:40.3426694Z             
2022-11-23T02:04:40.3426809Z  - 
2022-11-23T02:04:40.3426965Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3427068Z             {
2022-11-23T02:04:40.3427271Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3427426Z                 'code': None,
2022-11-23T02:04:40.3427717Z                 'obj_weakref': <weakref at 0x7fa5501e42c0; to 'Tensor' at 0x7fa51c2d9030>
2022-11-23T02:04:40.3428061Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3428162Z             }
2022-11-23T02:04:40.3428301Z             
2022-11-23T02:04:40.3428416Z  - 
2022-11-23T02:04:40.3428606Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3428710Z             {
2022-11-23T02:04:40.3428902Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3429148Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3429325Z                 'obj_weakref': None
2022-11-23T02:04:40.3429618Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3429723Z             }
2022-11-23T02:04:40.3429821Z             
2022-11-23T02:04:40.3429933Z  - 
2022-11-23T02:04:40.3430108Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3430209Z             {
2022-11-23T02:04:40.3430401Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3430671Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3430845Z                 'obj_weakref': None
2022-11-23T02:04:40.3431171Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3431274Z             }
2022-11-23T02:04:40.3431373Z             
2022-11-23T02:04:40.3431782Z [2022-11-23 02:03:35,044] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 422
2022-11-23T02:04:40.3432286Z [2022-11-23 02:03:37,658] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yj/cyjlitdq3bnerc5yu6keqablclrz77zypoook7vcmglofefngmek.py
2022-11-23T02:04:40.3432658Z [2022-11-23 02:03:37,658] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 422
2022-11-23T02:04:40.3432679Z 
2022-11-23T02:04:40.3432795Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3432905Z import torch
2022-11-23T02:04:40.3433015Z import random
2022-11-23T02:04:40.3433185Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3433361Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3433384Z 
2022-11-23T02:04:40.3433507Z aten = torch.ops.aten
2022-11-23T02:04:40.3433699Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3433813Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3433857Z 
2022-11-23T02:04:40.3433876Z 
2022-11-23T02:04:40.3434054Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3434337Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3434515Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T02:04:40.3434667Z                        const int* __restrict__ in_ptr1,
2022-11-23T02:04:40.3434817Z                        double* __restrict__ out_ptr0)
2022-11-23T02:04:40.3434914Z {
2022-11-23T02:04:40.3435060Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3435135Z     {
2022-11-23T02:04:40.3435273Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3435396Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3435497Z         {
2022-11-23T02:04:40.3435625Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3435725Z             {
2022-11-23T02:04:40.3435827Z                 {
2022-11-23T02:04:40.3435908Z                     {
2022-11-23T02:04:40.3436065Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T02:04:40.3436212Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T02:04:40.3436378Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T02:04:40.3436521Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:40.3436664Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.3436768Z                     }
2022-11-23T02:04:40.3436847Z                 }
2022-11-23T02:04:40.3436946Z             }
2022-11-23T02:04:40.3437047Z         }
2022-11-23T02:04:40.3437142Z     }
2022-11-23T02:04:40.3437238Z }
2022-11-23T02:04:40.3437364Z ''')
2022-11-23T02:04:40.3437383Z 
2022-11-23T02:04:40.3437401Z 
2022-11-23T02:04:40.3437538Z async_compile.wait(globals())
2022-11-23T02:04:40.3437694Z del async_compile
2022-11-23T02:04:40.3437713Z 
2022-11-23T02:04:40.3437829Z def call(args):
2022-11-23T02:04:40.3437947Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3438062Z     args.clear()
2022-11-23T02:04:40.3438350Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3438587Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3438695Z     del arg0_1
2022-11-23T02:04:40.3438778Z     del arg1_1
2022-11-23T02:04:40.3438891Z     return (buf0, )
2022-11-23T02:04:40.3438912Z 
2022-11-23T02:04:40.3438930Z 
2022-11-23T02:04:40.3439049Z if __name__ == "__main__":
2022-11-23T02:04:40.3439215Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3439394Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3439676Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3439949Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:40.3440120Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3440141Z 
2022-11-23T02:04:40.3440223Z ok (2.644s)
2022-11-23T02:04:40.3440736Z   test_cpu_double_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:37,666] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3441170Z [2022-11-23 02:03:37,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3441474Z [2022-11-23 02:03:37,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3441827Z [2022-11-23 02:03:37,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3442208Z [2022-11-23 02:03:37,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3442646Z [2022-11-23 02:03:37,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3443123Z [2022-11-23 02:03:37,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3443562Z [2022-11-23 02:03:37,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3444081Z [2022-11-23 02:03:37,667] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3444197Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3444338Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3444454Z               4 BINARY_ADD
2022-11-23T02:04:40.3444593Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3444711Z               8 RETURN_VALUE
2022-11-23T02:04:40.3444813Z  
2022-11-23T02:04:40.3444832Z 
2022-11-23T02:04:40.3445274Z [2022-11-23 02:03:37,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3445570Z [2022-11-23 02:03:37,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3445874Z [2022-11-23 02:03:37,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3446247Z [2022-11-23 02:03:37,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3446584Z [2022-11-23 02:03:37,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3446922Z [2022-11-23 02:03:37,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3447514Z [2022-11-23 02:03:37,670] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3447856Z [2022-11-23 02:03:37,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3448182Z [2022-11-23 02:03:37,671] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3448530Z [2022-11-23 02:03:37,672] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3448876Z [2022-11-23 02:03:37,678] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3449140Z [2022-11-23 02:03:37,679] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3449311Z  __compiled_fn_431 <eval_with_key>.3065 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3449448Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3449587Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3449838Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3449991Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3450010Z 
2022-11-23T02:04:40.3450502Z [2022-11-23 02:03:37,679] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3450652Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3450789Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3450898Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3451043Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3451178Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3451313Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3451429Z              12 RETURN_VALUE
2022-11-23T02:04:40.3451449Z 
2022-11-23T02:04:40.3451550Z  
2022-11-23T02:04:40.3451990Z [2022-11-23 02:03:37,679] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3452128Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_431)
2022-11-23T02:04:40.3452272Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3452408Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3452523Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3452659Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3452793Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3452912Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3453020Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3453176Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3453330Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3453460Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3453588Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3453721Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3453839Z              26 RETURN_VALUE
2022-11-23T02:04:40.3453859Z 
2022-11-23T02:04:40.3453957Z  
2022-11-23T02:04:40.3454207Z [2022-11-23 02:03:37,681] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3454324Z  - 
2022-11-23T02:04:40.3454498Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3454604Z             {
2022-11-23T02:04:40.3454805Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3455068Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3455244Z                 'obj_weakref': None
2022-11-23T02:04:40.3455531Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3455635Z             }
2022-11-23T02:04:40.3455736Z             
2022-11-23T02:04:40.3455846Z  - 
2022-11-23T02:04:40.3456558Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3456724Z             {
2022-11-23T02:04:40.3457082Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3457315Z                 'code': None,
2022-11-23T02:04:40.3457817Z                 'obj_weakref': <weakref at 0x7fa5320bc2c0; to 'Tensor' at 0x7fa53200f830>
2022-11-23T02:04:40.3458317Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3458427Z             }
2022-11-23T02:04:40.3458528Z             
2022-11-23T02:04:40.3458639Z  - 
2022-11-23T02:04:40.3458817Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3458895Z             {
2022-11-23T02:04:40.3459092Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3459248Z                 'code': None,
2022-11-23T02:04:40.3459541Z                 'obj_weakref': <weakref at 0x7fa5320bc130; to 'Tensor' at 0x7fa531f33b00>
2022-11-23T02:04:40.3459889Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3459995Z             }
2022-11-23T02:04:40.3460093Z             
2022-11-23T02:04:40.3460179Z  - 
2022-11-23T02:04:40.3460364Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3460684Z             {
2022-11-23T02:04:40.3460901Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3461141Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3461313Z                 'obj_weakref': None
2022-11-23T02:04:40.3461626Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3461703Z             }
2022-11-23T02:04:40.3461803Z             
2022-11-23T02:04:40.3461912Z  - 
2022-11-23T02:04:40.3462092Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3462192Z             {
2022-11-23T02:04:40.3462389Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3462694Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3462842Z                 'obj_weakref': None
2022-11-23T02:04:40.3463145Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3463252Z             }
2022-11-23T02:04:40.3463351Z             
2022-11-23T02:04:40.3463705Z [2022-11-23 02:03:37,690] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 423
2022-11-23T02:04:40.3464200Z [2022-11-23 02:03:40,254] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/o2/co2rji7oxoi572tralqt2opjzwpshcfarbbpflddq3humxumq53z.py
2022-11-23T02:04:40.3464567Z [2022-11-23 02:03:40,255] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 423
2022-11-23T02:04:40.3464590Z 
2022-11-23T02:04:40.3464732Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3464818Z import torch
2022-11-23T02:04:40.3464929Z import random
2022-11-23T02:04:40.3465098Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3465274Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3465294Z 
2022-11-23T02:04:40.3465413Z aten = torch.ops.aten
2022-11-23T02:04:40.3465612Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3465751Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3465770Z 
2022-11-23T02:04:40.3465789Z 
2022-11-23T02:04:40.3465988Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3466250Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3466427Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T02:04:40.3466580Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3466732Z                        double* __restrict__ out_ptr0)
2022-11-23T02:04:40.3466830Z {
2022-11-23T02:04:40.3466977Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3467177Z     {
2022-11-23T02:04:40.3467293Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3467423Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3467526Z         {
2022-11-23T02:04:40.3467657Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3467768Z             {
2022-11-23T02:04:40.3467871Z                 {
2022-11-23T02:04:40.3467973Z                     {
2022-11-23T02:04:40.3468105Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T02:04:40.3468258Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T02:04:40.3468428Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T02:04:40.3468572Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:40.3468711Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.3468814Z                     }
2022-11-23T02:04:40.3468919Z                 }
2022-11-23T02:04:40.3468996Z             }
2022-11-23T02:04:40.3469096Z         }
2022-11-23T02:04:40.3469198Z     }
2022-11-23T02:04:40.3469291Z }
2022-11-23T02:04:40.3469419Z ''')
2022-11-23T02:04:40.3469439Z 
2022-11-23T02:04:40.3469459Z 
2022-11-23T02:04:40.3469598Z async_compile.wait(globals())
2022-11-23T02:04:40.3469717Z del async_compile
2022-11-23T02:04:40.3469736Z 
2022-11-23T02:04:40.3469905Z def call(args):
2022-11-23T02:04:40.3470033Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3470147Z     args.clear()
2022-11-23T02:04:40.3470435Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3470673Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3470783Z     del arg0_1
2022-11-23T02:04:40.3470887Z     del arg1_1
2022-11-23T02:04:40.3470977Z     return (buf0, )
2022-11-23T02:04:40.3470996Z 
2022-11-23T02:04:40.3471037Z 
2022-11-23T02:04:40.3471132Z if __name__ == "__main__":
2022-11-23T02:04:40.3471299Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3471482Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3471764Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3472041Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3472212Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3472232Z 
2022-11-23T02:04:40.3472341Z ok (2.596s)
2022-11-23T02:04:40.3472781Z   test_cpu_double_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:40,262] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3473213Z [2022-11-23 02:03:40,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3473519Z [2022-11-23 02:03:40,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3473866Z [2022-11-23 02:03:40,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3474246Z [2022-11-23 02:03:40,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3474681Z [2022-11-23 02:03:40,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3475145Z [2022-11-23 02:03:40,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3475584Z [2022-11-23 02:03:40,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3476098Z [2022-11-23 02:03:40,263] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3476300Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3476412Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3476528Z               4 BINARY_ADD
2022-11-23T02:04:40.3476662Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3476779Z               8 RETURN_VALUE
2022-11-23T02:04:40.3476881Z  
2022-11-23T02:04:40.3476900Z 
2022-11-23T02:04:40.3477331Z [2022-11-23 02:03:40,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3477623Z [2022-11-23 02:03:40,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3477951Z [2022-11-23 02:03:40,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3478298Z [2022-11-23 02:03:40,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3478630Z [2022-11-23 02:03:40,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3478969Z [2022-11-23 02:03:40,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3479537Z [2022-11-23 02:03:40,266] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3479885Z [2022-11-23 02:03:40,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3480211Z [2022-11-23 02:03:40,266] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3480562Z [2022-11-23 02:03:40,268] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3480907Z [2022-11-23 02:03:40,274] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3481175Z [2022-11-23 02:03:40,274] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3481378Z  __compiled_fn_432 <eval_with_key>.3071 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3481490Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3481632Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3481885Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3482027Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3482047Z 
2022-11-23T02:04:40.3482488Z [2022-11-23 02:03:40,275] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3482634Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3482771Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3482902Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3483019Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3483150Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3483290Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3483408Z              12 RETURN_VALUE
2022-11-23T02:04:40.3483427Z 
2022-11-23T02:04:40.3483524Z  
2022-11-23T02:04:40.3483968Z [2022-11-23 02:03:40,275] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3484129Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_432)
2022-11-23T02:04:40.3484246Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3484385Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3484499Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3484695Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3484830Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3484947Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3485081Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3485211Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3485432Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3485569Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3485686Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3485821Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3485943Z              26 RETURN_VALUE
2022-11-23T02:04:40.3485962Z 
2022-11-23T02:04:40.3486058Z  
2022-11-23T02:04:40.3486318Z [2022-11-23 02:03:40,277] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3486406Z  - 
2022-11-23T02:04:40.3486577Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3486680Z             {
2022-11-23T02:04:40.3486876Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3487143Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3487322Z                 'obj_weakref': None
2022-11-23T02:04:40.3487633Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3487716Z             }
2022-11-23T02:04:40.3487817Z             
2022-11-23T02:04:40.3487930Z  - 
2022-11-23T02:04:40.3488109Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3488209Z             {
2022-11-23T02:04:40.3488470Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3488614Z                 'code': None,
2022-11-23T02:04:40.3488915Z                 'obj_weakref': <weakref at 0x7fa5320be4d0; to 'Tensor' at 0x7fa531f33b00>
2022-11-23T02:04:40.3489256Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3489430Z             }
2022-11-23T02:04:40.3489536Z             
2022-11-23T02:04:40.3489648Z  - 
2022-11-23T02:04:40.3489836Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3490010Z             {
2022-11-23T02:04:40.3490189Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3490353Z                 'code': None,
2022-11-23T02:04:40.3490640Z                 'obj_weakref': <weakref at 0x7fa550055080; to 'Tensor' at 0x7fa62380e660>
2022-11-23T02:04:40.3490984Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3491094Z             }
2022-11-23T02:04:40.3491196Z             
2022-11-23T02:04:40.3491308Z  - 
2022-11-23T02:04:40.3491472Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3491577Z             {
2022-11-23T02:04:40.3491770Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3492007Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3492184Z                 'obj_weakref': None
2022-11-23T02:04:40.3492500Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3492603Z             }
2022-11-23T02:04:40.3492679Z             
2022-11-23T02:04:40.3492788Z  - 
2022-11-23T02:04:40.3492971Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3493073Z             {
2022-11-23T02:04:40.3493268Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3493568Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3493743Z                 'obj_weakref': None
2022-11-23T02:04:40.3494027Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3494127Z             }
2022-11-23T02:04:40.3494227Z             
2022-11-23T02:04:40.3494585Z [2022-11-23 02:03:40,289] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 424
2022-11-23T02:04:40.3495074Z [2022-11-23 02:03:42,914] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dl/cdlout5kr2df2e7o2g2cghyj72cmhdkf6q5gtjjf4hkbhrdjraar.py
2022-11-23T02:04:40.3495441Z [2022-11-23 02:03:42,914] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 424
2022-11-23T02:04:40.3495529Z 
2022-11-23T02:04:40.3495677Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3495785Z import torch
2022-11-23T02:04:40.3495871Z import random
2022-11-23T02:04:40.3496481Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3496804Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3496837Z 
2022-11-23T02:04:40.3497029Z aten = torch.ops.aten
2022-11-23T02:04:40.3497351Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3497584Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3497614Z 
2022-11-23T02:04:40.3497635Z 
2022-11-23T02:04:40.3497967Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3498257Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3498411Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T02:04:40.3498568Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3498722Z                        double* __restrict__ out_ptr0)
2022-11-23T02:04:40.3498821Z {
2022-11-23T02:04:40.3498972Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3499071Z     {
2022-11-23T02:04:40.3499210Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3499445Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3499557Z         {
2022-11-23T02:04:40.3499690Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3499791Z             {
2022-11-23T02:04:40.3499896Z                 {
2022-11-23T02:04:40.3500001Z                     {
2022-11-23T02:04:40.3500132Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T02:04:40.3500283Z                         auto tmp1 = in_ptr1[i0 + (10*i1)];
2022-11-23T02:04:40.3500446Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T02:04:40.3500587Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:40.3500731Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.3500843Z                     }
2022-11-23T02:04:40.3500942Z                 }
2022-11-23T02:04:40.3501045Z             }
2022-11-23T02:04:40.3501121Z         }
2022-11-23T02:04:40.3501220Z     }
2022-11-23T02:04:40.3501317Z }
2022-11-23T02:04:40.3501448Z ''')
2022-11-23T02:04:40.3501471Z 
2022-11-23T02:04:40.3501490Z 
2022-11-23T02:04:40.3501626Z async_compile.wait(globals())
2022-11-23T02:04:40.3501739Z del async_compile
2022-11-23T02:04:40.3501758Z 
2022-11-23T02:04:40.3501869Z def call(args):
2022-11-23T02:04:40.3501962Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3502073Z     args.clear()
2022-11-23T02:04:40.3502351Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3502581Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3502691Z     del arg0_1
2022-11-23T02:04:40.3502800Z     del arg1_1
2022-11-23T02:04:40.3502908Z     return (buf0, )
2022-11-23T02:04:40.3502932Z 
2022-11-23T02:04:40.3502950Z 
2022-11-23T02:04:40.3503044Z if __name__ == "__main__":
2022-11-23T02:04:40.3503217Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3503395Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3503682Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3503962Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3504131Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3504152Z 
2022-11-23T02:04:40.3504261Z ok (2.659s)
2022-11-23T02:04:40.3504719Z   test_cpu_int_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:42,921] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3505149Z [2022-11-23 02:03:42,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3505516Z [2022-11-23 02:03:42,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3505860Z [2022-11-23 02:03:42,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3506243Z [2022-11-23 02:03:42,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3506679Z [2022-11-23 02:03:42,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3507150Z [2022-11-23 02:03:42,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3507585Z [2022-11-23 02:03:42,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3508096Z [2022-11-23 02:03:42,922] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3508244Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3508433Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3508530Z               4 BINARY_ADD
2022-11-23T02:04:40.3508663Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3508780Z               8 RETURN_VALUE
2022-11-23T02:04:40.3508881Z  
2022-11-23T02:04:40.3508901Z 
2022-11-23T02:04:40.3509323Z [2022-11-23 02:03:42,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3509610Z [2022-11-23 02:03:42,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3510058Z [2022-11-23 02:03:42,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3510429Z [2022-11-23 02:03:42,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3510740Z [2022-11-23 02:03:42,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3511081Z [2022-11-23 02:03:42,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3511595Z [2022-11-23 02:03:42,925] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3511929Z [2022-11-23 02:03:42,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3512256Z [2022-11-23 02:03:42,925] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3512603Z [2022-11-23 02:03:42,926] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3512953Z [2022-11-23 02:03:42,931] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3513221Z [2022-11-23 02:03:42,932] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3513420Z  __compiled_fn_433 <eval_with_key>.3077 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3513555Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3513666Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3513920Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3514061Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3514081Z 
2022-11-23T02:04:40.3514521Z [2022-11-23 02:03:42,932] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3514668Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3514810Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3515005Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3515123Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3515257Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3515390Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3515512Z              12 RETURN_VALUE
2022-11-23T02:04:40.3515532Z 
2022-11-23T02:04:40.3515629Z  
2022-11-23T02:04:40.3516070Z [2022-11-23 02:03:42,933] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3516228Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_433)
2022-11-23T02:04:40.3516365Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3516478Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3516596Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3516731Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3516865Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3516993Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3517124Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3517276Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3517479Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3517624Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3517746Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3517883Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3518003Z              26 RETURN_VALUE
2022-11-23T02:04:40.3518022Z 
2022-11-23T02:04:40.3518120Z  
2022-11-23T02:04:40.3518386Z [2022-11-23 02:03:42,934] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3518474Z  - 
2022-11-23T02:04:40.3518655Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3518757Z             {
2022-11-23T02:04:40.3518957Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3519219Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3519395Z                 'obj_weakref': None
2022-11-23T02:04:40.3519710Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3519811Z             }
2022-11-23T02:04:40.3519893Z             
2022-11-23T02:04:40.3520001Z  - 
2022-11-23T02:04:40.3520184Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3520287Z             {
2022-11-23T02:04:40.3520494Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3520654Z                 'code': None,
2022-11-23T02:04:40.3520924Z                 'obj_weakref': <weakref at 0x7fa61a9246d0; to 'Tensor' at 0x7fa5322a78d0>
2022-11-23T02:04:40.3521273Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3521378Z             }
2022-11-23T02:04:40.3521479Z             
2022-11-23T02:04:40.3521590Z  - 
2022-11-23T02:04:40.3521775Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3521880Z             {
2022-11-23T02:04:40.3522063Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3522222Z                 'code': None,
2022-11-23T02:04:40.3522518Z                 'obj_weakref': <weakref at 0x7fa61a9248b0; to 'Tensor' at 0x7fa51c4d9260>
2022-11-23T02:04:40.3522867Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3522964Z             }
2022-11-23T02:04:40.3523059Z             
2022-11-23T02:04:40.3523166Z  - 
2022-11-23T02:04:40.3523331Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3523434Z             {
2022-11-23T02:04:40.3523624Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3523862Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3524035Z                 'obj_weakref': None
2022-11-23T02:04:40.3524349Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3524531Z             }
2022-11-23T02:04:40.3524635Z             
2022-11-23T02:04:40.3524728Z  - 
2022-11-23T02:04:40.3524907Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3525010Z             {
2022-11-23T02:04:40.3525219Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3525515Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3525687Z                 'obj_weakref': None
2022-11-23T02:04:40.3525990Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3526068Z             }
2022-11-23T02:04:40.3526168Z             
2022-11-23T02:04:40.3526523Z [2022-11-23 02:03:42,942] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 425
2022-11-23T02:04:40.3527027Z [2022-11-23 02:03:45,587] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jg/cjg2opyisrdikgfmvifd5xjgwvazeqni26jzls3aybxnmo5x6wll.py
2022-11-23T02:04:40.3527394Z [2022-11-23 02:03:45,588] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 425
2022-11-23T02:04:40.3527419Z 
2022-11-23T02:04:40.3527612Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3527730Z import torch
2022-11-23T02:04:40.3527840Z import random
2022-11-23T02:04:40.3527986Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3528159Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3528179Z 
2022-11-23T02:04:40.3528298Z aten = torch.ops.aten
2022-11-23T02:04:40.3528491Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3528630Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3528649Z 
2022-11-23T02:04:40.3528667Z 
2022-11-23T02:04:40.3528864Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3529151Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3529328Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T02:04:40.3529461Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3529612Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3529713Z {
2022-11-23T02:04:40.3529860Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3529957Z     {
2022-11-23T02:04:40.3530083Z         #pragma omp for 
2022-11-23T02:04:40.3530185Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3530286Z         {
2022-11-23T02:04:40.3530385Z             {
2022-11-23T02:04:40.3530490Z                 {
2022-11-23T02:04:40.3530634Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.3530774Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T02:04:40.3530929Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:40.3531042Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:40.3531174Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:40.3531282Z                 }
2022-11-23T02:04:40.3531384Z             }
2022-11-23T02:04:40.3531485Z         }
2022-11-23T02:04:40.3531583Z     }
2022-11-23T02:04:40.3531678Z }
2022-11-23T02:04:40.3531779Z ''')
2022-11-23T02:04:40.3531798Z 
2022-11-23T02:04:40.3531816Z 
2022-11-23T02:04:40.3531965Z async_compile.wait(globals())
2022-11-23T02:04:40.3532079Z del async_compile
2022-11-23T02:04:40.3532099Z 
2022-11-23T02:04:40.3532209Z def call(args):
2022-11-23T02:04:40.3532331Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3532443Z     args.clear()
2022-11-23T02:04:40.3532720Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3532951Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3533036Z     del arg0_1
2022-11-23T02:04:40.3533143Z     del arg1_1
2022-11-23T02:04:40.3533258Z     return (buf0, )
2022-11-23T02:04:40.3533277Z 
2022-11-23T02:04:40.3533296Z 
2022-11-23T02:04:40.3533490Z if __name__ == "__main__":
2022-11-23T02:04:40.3533659Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3533836Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3534115Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:40.3534365Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3534537Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3534556Z 
2022-11-23T02:04:40.3534657Z ok (2.673s)
2022-11-23T02:04:40.3535119Z   test_cpu_int_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:45,594] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3535554Z [2022-11-23 02:03:45,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3535855Z [2022-11-23 02:03:45,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3537010Z [2022-11-23 02:03:45,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3537912Z [2022-11-23 02:03:45,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3538540Z [2022-11-23 02:03:45,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3539028Z [2022-11-23 02:03:45,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3539441Z [2022-11-23 02:03:45,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3539953Z [2022-11-23 02:03:45,596] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3540099Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3540238Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3540357Z               4 BINARY_ADD
2022-11-23T02:04:40.3540492Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3540611Z               8 RETURN_VALUE
2022-11-23T02:04:40.3540708Z  
2022-11-23T02:04:40.3540728Z 
2022-11-23T02:04:40.3541130Z [2022-11-23 02:03:45,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3541428Z [2022-11-23 02:03:45,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3541754Z [2022-11-23 02:03:45,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3542129Z [2022-11-23 02:03:45,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3542464Z [2022-11-23 02:03:45,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3542807Z [2022-11-23 02:03:45,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3543325Z [2022-11-23 02:03:45,598] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3543666Z [2022-11-23 02:03:45,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3543989Z [2022-11-23 02:03:45,599] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3544336Z [2022-11-23 02:03:45,601] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3544653Z [2022-11-23 02:03:45,605] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3545043Z [2022-11-23 02:03:45,605] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3545240Z  __compiled_fn_434 <eval_with_key>.3083 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3545383Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3545516Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3545768Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3545911Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3545931Z 
2022-11-23T02:04:40.3546375Z [2022-11-23 02:03:45,606] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3546494Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3546627Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3546759Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3546902Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3547029Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3547163Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3547281Z              12 RETURN_VALUE
2022-11-23T02:04:40.3547358Z 
2022-11-23T02:04:40.3547438Z  
2022-11-23T02:04:40.3547876Z [2022-11-23 02:03:45,606] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3548038Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_434)
2022-11-23T02:04:40.3548173Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3548308Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3548430Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3548567Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3548704Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3548798Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3548939Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3549095Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3549244Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3549382Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3549501Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3549636Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3549729Z              26 RETURN_VALUE
2022-11-23T02:04:40.3549748Z 
2022-11-23T02:04:40.3549847Z  
2022-11-23T02:04:40.3550114Z [2022-11-23 02:03:45,607] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3550226Z  - 
2022-11-23T02:04:40.3550400Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3550506Z             {
2022-11-23T02:04:40.3550708Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3550950Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3551127Z                 'obj_weakref': None
2022-11-23T02:04:40.3551433Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3551534Z             }
2022-11-23T02:04:40.3551636Z             
2022-11-23T02:04:40.3551750Z  - 
2022-11-23T02:04:40.3551932Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3552010Z             {
2022-11-23T02:04:40.3552214Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3552370Z                 'code': None,
2022-11-23T02:04:40.3552662Z                 'obj_weakref': <weakref at 0x7fa51c276200; to 'Tensor' at 0x7fa5322a78d0>
2022-11-23T02:04:40.3553007Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3553108Z             }
2022-11-23T02:04:40.3553204Z             
2022-11-23T02:04:40.3553291Z  - 
2022-11-23T02:04:40.3553469Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3553630Z             {
2022-11-23T02:04:40.3553836Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3553991Z                 'code': None,
2022-11-23T02:04:40.3554282Z                 'obj_weakref': <weakref at 0x7fa51c277d30; to 'Tensor' at 0x7fa61a924630>
2022-11-23T02:04:40.3554628Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3554707Z             }
2022-11-23T02:04:40.3554808Z             
2022-11-23T02:04:40.3554917Z  - 
2022-11-23T02:04:40.3555104Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3555211Z             {
2022-11-23T02:04:40.3555406Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3555649Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3555798Z                 'obj_weakref': None
2022-11-23T02:04:40.3556113Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3556223Z             }
2022-11-23T02:04:40.3556325Z             
2022-11-23T02:04:40.3556439Z  - 
2022-11-23T02:04:40.3556615Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3556717Z             {
2022-11-23T02:04:40.3556890Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3557258Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3557435Z                 'obj_weakref': None
2022-11-23T02:04:40.3557740Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3557845Z             }
2022-11-23T02:04:40.3557945Z             
2022-11-23T02:04:40.3558302Z [2022-11-23 02:03:45,616] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 426
2022-11-23T02:04:40.3558790Z [2022-11-23 02:03:48,237] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ul/cul67a4blrug6k2ayvfcmzm3bbc3lpin4xdux4gskvohsfwpjlnn.py
2022-11-23T02:04:40.3559136Z [2022-11-23 02:03:48,238] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 426
2022-11-23T02:04:40.3559156Z 
2022-11-23T02:04:40.3559293Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3559404Z import torch
2022-11-23T02:04:40.3559522Z import random
2022-11-23T02:04:40.3559691Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3559869Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3559889Z 
2022-11-23T02:04:40.3560016Z aten = torch.ops.aten
2022-11-23T02:04:40.3560200Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3560362Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3560366Z 
2022-11-23T02:04:40.3560396Z 
2022-11-23T02:04:40.3560573Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3560869Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3561052Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T02:04:40.3561220Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3561378Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3561475Z {
2022-11-23T02:04:40.3561606Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3561704Z     {
2022-11-23T02:04:40.3561927Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3562055Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3562164Z         {
2022-11-23T02:04:40.3562298Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3562396Z             {
2022-11-23T02:04:40.3562476Z                 {
2022-11-23T02:04:40.3562585Z                     {
2022-11-23T02:04:40.3562731Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:40.3562870Z                         auto tmp2 = in_ptr1[i0];
2022-11-23T02:04:40.3563032Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:40.3563171Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:40.3563390Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.3563475Z                     }
2022-11-23T02:04:40.3563580Z                 }
2022-11-23T02:04:40.3563682Z             }
2022-11-23T02:04:40.3563782Z         }
2022-11-23T02:04:40.3563887Z     }
2022-11-23T02:04:40.3563983Z }
2022-11-23T02:04:40.3564090Z ''')
2022-11-23T02:04:40.3564134Z 
2022-11-23T02:04:40.3564153Z 
2022-11-23T02:04:40.3564268Z async_compile.wait(globals())
2022-11-23T02:04:40.3564383Z del async_compile
2022-11-23T02:04:40.3564402Z 
2022-11-23T02:04:40.3564511Z def call(args):
2022-11-23T02:04:40.3564631Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3564741Z     args.clear()
2022-11-23T02:04:40.3565036Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3565266Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3565350Z     del arg0_1
2022-11-23T02:04:40.3565462Z     del arg1_1
2022-11-23T02:04:40.3565572Z     return (buf0, )
2022-11-23T02:04:40.3565591Z 
2022-11-23T02:04:40.3565609Z 
2022-11-23T02:04:40.3565727Z if __name__ == "__main__":
2022-11-23T02:04:40.3565898Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3566137Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3566421Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:40.3566705Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3566851Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3566870Z 
2022-11-23T02:04:40.3566977Z ok (2.650s)
2022-11-23T02:04:40.3567439Z   test_cpu_int_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:48,244] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3567876Z [2022-11-23 02:03:48,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3568178Z [2022-11-23 02:03:48,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3568526Z [2022-11-23 02:03:48,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3568909Z [2022-11-23 02:03:48,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3569346Z [2022-11-23 02:03:48,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3569815Z [2022-11-23 02:03:48,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3570252Z [2022-11-23 02:03:48,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3570746Z [2022-11-23 02:03:48,246] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3570892Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3571033Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3571152Z               4 BINARY_ADD
2022-11-23T02:04:40.3571290Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3571409Z               8 RETURN_VALUE
2022-11-23T02:04:40.3571512Z  
2022-11-23T02:04:40.3571532Z 
2022-11-23T02:04:40.3571962Z [2022-11-23 02:03:48,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3572229Z [2022-11-23 02:03:48,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3572555Z [2022-11-23 02:03:48,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3572996Z [2022-11-23 02:03:48,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3573332Z [2022-11-23 02:03:48,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3573667Z [2022-11-23 02:03:48,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3574187Z [2022-11-23 02:03:48,249] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3574523Z [2022-11-23 02:03:48,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3574849Z [2022-11-23 02:03:48,249] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3575198Z [2022-11-23 02:03:48,250] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3575542Z [2022-11-23 02:03:48,255] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3575829Z [2022-11-23 02:03:48,256] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3576483Z  __compiled_fn_435 <eval_with_key>.3089 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3576725Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3576935Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3577389Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3577625Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3577656Z 
2022-11-23T02:04:40.3578301Z [2022-11-23 02:03:48,257] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3578452Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3578571Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3578706Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3578844Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3578979Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3579114Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3579233Z              12 RETURN_VALUE
2022-11-23T02:04:40.3579253Z 
2022-11-23T02:04:40.3579350Z  
2022-11-23T02:04:40.3579765Z [2022-11-23 02:03:48,257] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3579924Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_435)
2022-11-23T02:04:40.3580061Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3580211Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3580321Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3580464Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3580632Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3580716Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3580827Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3580986Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3581140Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3581311Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3581394Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3581526Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3581642Z              26 RETURN_VALUE
2022-11-23T02:04:40.3581662Z 
2022-11-23T02:04:40.3581736Z  
2022-11-23T02:04:40.3581993Z [2022-11-23 02:03:48,258] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3582103Z  - 
2022-11-23T02:04:40.3582275Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3582377Z             {
2022-11-23T02:04:40.3582731Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3582992Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3583142Z                 'obj_weakref': None
2022-11-23T02:04:40.3583453Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3583556Z             }
2022-11-23T02:04:40.3583654Z             
2022-11-23T02:04:40.3583763Z  - 
2022-11-23T02:04:40.3583941Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3584039Z             {
2022-11-23T02:04:40.3584220Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3584375Z                 'code': None,
2022-11-23T02:04:40.3584666Z                 'obj_weakref': <weakref at 0x7fa62380e4d0; to 'Tensor' at 0x7fa53c4fd530>
2022-11-23T02:04:40.3585007Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3585110Z             }
2022-11-23T02:04:40.3585210Z             
2022-11-23T02:04:40.3585319Z  - 
2022-11-23T02:04:40.3585474Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3585581Z             {
2022-11-23T02:04:40.3585786Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3586016Z                 'code': None,
2022-11-23T02:04:40.3586320Z                 'obj_weakref': <weakref at 0x7fa550057ec0; to 'Tensor' at 0x7fa5322a78d0>
2022-11-23T02:04:40.3586663Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3586770Z             }
2022-11-23T02:04:40.3586847Z             
2022-11-23T02:04:40.3586957Z  - 
2022-11-23T02:04:40.3587147Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3587250Z             {
2022-11-23T02:04:40.3587440Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3587679Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3587862Z                 'obj_weakref': None
2022-11-23T02:04:40.3588236Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3588338Z             }
2022-11-23T02:04:40.3588438Z             
2022-11-23T02:04:40.3588548Z  - 
2022-11-23T02:04:40.3588729Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3588828Z             {
2022-11-23T02:04:40.3589024Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3589297Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3589524Z                 'obj_weakref': None
2022-11-23T02:04:40.3589831Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3589938Z             }
2022-11-23T02:04:40.3590038Z             
2022-11-23T02:04:40.3590400Z [2022-11-23 02:03:48,267] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 427
2022-11-23T02:04:40.3590892Z [2022-11-23 02:03:50,873] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/s4/cs4tj5cqes7y6qewnvzsa7fbfz5mrui5y3ne3c7gol4rwseyufiq.py
2022-11-23T02:04:40.3591258Z [2022-11-23 02:03:50,874] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 427
2022-11-23T02:04:40.3591279Z 
2022-11-23T02:04:40.3591396Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3591516Z import torch
2022-11-23T02:04:40.3591632Z import random
2022-11-23T02:04:40.3591803Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3591977Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3591997Z 
2022-11-23T02:04:40.3592116Z aten = torch.ops.aten
2022-11-23T02:04:40.3592317Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3592432Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3592479Z 
2022-11-23T02:04:40.3592499Z 
2022-11-23T02:04:40.3592670Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3593023Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3593195Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T02:04:40.3593352Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3593508Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3593606Z {
2022-11-23T02:04:40.3593755Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3593832Z     {
2022-11-23T02:04:40.3593954Z         #pragma omp for 
2022-11-23T02:04:40.3594081Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3594182Z         {
2022-11-23T02:04:40.3594286Z             {
2022-11-23T02:04:40.3594388Z                 {
2022-11-23T02:04:40.3594526Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.3594640Z                     auto tmp2 = in_ptr1[0];
2022-11-23T02:04:40.3594798Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:40.3594943Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:40.3595067Z                     out_ptr0[i0] = tmp3;
2022-11-23T02:04:40.3595168Z                 }
2022-11-23T02:04:40.3595272Z             }
2022-11-23T02:04:40.3595367Z         }
2022-11-23T02:04:40.3595443Z     }
2022-11-23T02:04:40.3595617Z }
2022-11-23T02:04:40.3595753Z ''')
2022-11-23T02:04:40.3595775Z 
2022-11-23T02:04:40.3595793Z 
2022-11-23T02:04:40.3595934Z async_compile.wait(globals())
2022-11-23T02:04:40.3596048Z del async_compile
2022-11-23T02:04:40.3596067Z 
2022-11-23T02:04:40.3596177Z def call(args):
2022-11-23T02:04:40.3596293Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3596383Z     args.clear()
2022-11-23T02:04:40.3596656Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3596896Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3597006Z     del arg0_1
2022-11-23T02:04:40.3597111Z     del arg1_1
2022-11-23T02:04:40.3597233Z     return (buf0, )
2022-11-23T02:04:40.3597253Z 
2022-11-23T02:04:40.3597271Z 
2022-11-23T02:04:40.3597395Z if __name__ == "__main__":
2022-11-23T02:04:40.3597538Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3597717Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3597991Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:40.3598255Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3598423Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3598443Z 
2022-11-23T02:04:40.3598549Z ok (2.636s)
2022-11-23T02:04:40.3598993Z   test_cpu_int_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:50,881] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3599425Z [2022-11-23 02:03:50,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3599737Z [2022-11-23 02:03:50,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3600060Z [2022-11-23 02:03:50,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3600443Z [2022-11-23 02:03:50,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3600883Z [2022-11-23 02:03:50,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3601357Z [2022-11-23 02:03:50,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3601794Z [2022-11-23 02:03:50,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3602381Z [2022-11-23 02:03:50,882] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3602521Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3602664Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3602782Z               4 BINARY_ADD
2022-11-23T02:04:40.3602892Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3603008Z               8 RETURN_VALUE
2022-11-23T02:04:40.3603108Z  
2022-11-23T02:04:40.3603128Z 
2022-11-23T02:04:40.3603558Z [2022-11-23 02:03:50,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3603851Z [2022-11-23 02:03:50,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3604176Z [2022-11-23 02:03:50,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3604548Z [2022-11-23 02:03:50,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3604883Z [2022-11-23 02:03:50,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3605298Z [2022-11-23 02:03:50,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3605799Z [2022-11-23 02:03:50,885] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3606134Z [2022-11-23 02:03:50,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3606459Z [2022-11-23 02:03:50,886] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3606809Z [2022-11-23 02:03:50,887] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3607264Z [2022-11-23 02:03:50,892] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3607533Z [2022-11-23 02:03:50,892] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3607732Z  __compiled_fn_436 <eval_with_key>.3095 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3607867Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3607999Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3608228Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3608369Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3608390Z 
2022-11-23T02:04:40.3608828Z [2022-11-23 02:03:50,893] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3608971Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3609109Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3609252Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3609395Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3609501Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3609646Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3609768Z              12 RETURN_VALUE
2022-11-23T02:04:40.3609788Z 
2022-11-23T02:04:40.3609887Z  
2022-11-23T02:04:40.3610324Z [2022-11-23 02:03:50,893] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3610493Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_436)
2022-11-23T02:04:40.3610630Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3610768Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3610866Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3611000Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3611258Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3611378Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3611514Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3611670Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3611829Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3611942Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3612059Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3612191Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3612307Z              26 RETURN_VALUE
2022-11-23T02:04:40.3612327Z 
2022-11-23T02:04:40.3612423Z  
2022-11-23T02:04:40.3612688Z [2022-11-23 02:03:50,894] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3612800Z  - 
2022-11-23T02:04:40.3612950Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3613053Z             {
2022-11-23T02:04:40.3613258Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3613523Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3613697Z                 'obj_weakref': None
2022-11-23T02:04:40.3614006Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3614168Z             }
2022-11-23T02:04:40.3614273Z             
2022-11-23T02:04:40.3614363Z  - 
2022-11-23T02:04:40.3614545Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3614642Z             {
2022-11-23T02:04:40.3614844Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3615005Z                 'code': None,
2022-11-23T02:04:40.3615294Z                 'obj_weakref': <weakref at 0x7fa5322ac590; to 'Tensor' at 0x7fa62380e3e0>
2022-11-23T02:04:40.3615637Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3615715Z             }
2022-11-23T02:04:40.3615814Z             
2022-11-23T02:04:40.3615931Z  - 
2022-11-23T02:04:40.3616665Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3616838Z             {
2022-11-23T02:04:40.3617191Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3617417Z                 'code': None,
2022-11-23T02:04:40.3617918Z                 'obj_weakref': <weakref at 0x7fa5322afd30; to 'Tensor' at 0x7fa62380e7a0>
2022-11-23T02:04:40.3618328Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3618430Z             }
2022-11-23T02:04:40.3618533Z             
2022-11-23T02:04:40.3618643Z  - 
2022-11-23T02:04:40.3618829Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3618906Z             {
2022-11-23T02:04:40.3619099Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3619335Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3619506Z                 'obj_weakref': None
2022-11-23T02:04:40.3619825Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3619929Z             }
2022-11-23T02:04:40.3620032Z             
2022-11-23T02:04:40.3620119Z  - 
2022-11-23T02:04:40.3620301Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3620404Z             {
2022-11-23T02:04:40.3620605Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3620903Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3621072Z                 'obj_weakref': None
2022-11-23T02:04:40.3621379Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3621480Z             }
2022-11-23T02:04:40.3621557Z             
2022-11-23T02:04:40.3621913Z [2022-11-23 02:03:50,903] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 428
2022-11-23T02:04:40.3622409Z [2022-11-23 02:03:53,508] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crblkqsy7hsaljmcfylf7rjwhirwgql7p2nzct3u2c7s6jeqzw7q.py
2022-11-23T02:04:40.3622950Z [2022-11-23 02:03:53,509] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 428
2022-11-23T02:04:40.3622971Z 
2022-11-23T02:04:40.3623116Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3623230Z import torch
2022-11-23T02:04:40.3623340Z import random
2022-11-23T02:04:40.3623509Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3623661Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3623681Z 
2022-11-23T02:04:40.3623806Z aten = torch.ops.aten
2022-11-23T02:04:40.3624001Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3624136Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3624159Z 
2022-11-23T02:04:40.3624178Z 
2022-11-23T02:04:40.3624373Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3624660Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3624837Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T02:04:40.3624990Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3625192Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3625297Z {
2022-11-23T02:04:40.3625445Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3625545Z     {
2022-11-23T02:04:40.3625681Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3625807Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3625910Z         {
2022-11-23T02:04:40.3626019Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3626119Z             {
2022-11-23T02:04:40.3626221Z                 {
2022-11-23T02:04:40.3626329Z                     {
2022-11-23T02:04:40.3626473Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:40.3626628Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T02:04:40.3626771Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:40.3626916Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:40.3627057Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.3627164Z                     }
2022-11-23T02:04:40.3627273Z                 }
2022-11-23T02:04:40.3627376Z             }
2022-11-23T02:04:40.3627481Z         }
2022-11-23T02:04:40.3627557Z     }
2022-11-23T02:04:40.3627652Z }
2022-11-23T02:04:40.3627780Z ''')
2022-11-23T02:04:40.3627799Z 
2022-11-23T02:04:40.3627818Z 
2022-11-23T02:04:40.3627953Z async_compile.wait(globals())
2022-11-23T02:04:40.3628069Z del async_compile
2022-11-23T02:04:40.3628088Z 
2022-11-23T02:04:40.3628200Z def call(args):
2022-11-23T02:04:40.3628319Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3628407Z     args.clear()
2022-11-23T02:04:40.3628687Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3628920Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3629032Z     del arg0_1
2022-11-23T02:04:40.3629133Z     del arg1_1
2022-11-23T02:04:40.3629244Z     return (buf0, )
2022-11-23T02:04:40.3629263Z 
2022-11-23T02:04:40.3629281Z 
2022-11-23T02:04:40.3629400Z if __name__ == "__main__":
2022-11-23T02:04:40.3629565Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3629720Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3629988Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:40.3630262Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3630433Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3630453Z 
2022-11-23T02:04:40.3630560Z ok (2.635s)
2022-11-23T02:04:40.3631009Z   test_cpu_int_double (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:53,515] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3631498Z [2022-11-23 02:03:53,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3631808Z [2022-11-23 02:03:53,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3632156Z [2022-11-23 02:03:53,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3632512Z [2022-11-23 02:03:53,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3632952Z [2022-11-23 02:03:53,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3633422Z [2022-11-23 02:03:53,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3633861Z [2022-11-23 02:03:53,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3634425Z [2022-11-23 02:03:53,517] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3634573Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3634711Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3634833Z               4 BINARY_ADD
2022-11-23T02:04:40.3634971Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3635063Z               8 RETURN_VALUE
2022-11-23T02:04:40.3635166Z  
2022-11-23T02:04:40.3635186Z 
2022-11-23T02:04:40.3635616Z [2022-11-23 02:03:53,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3635907Z [2022-11-23 02:03:53,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3636237Z [2022-11-23 02:03:53,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3636611Z [2022-11-23 02:03:53,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3636942Z [2022-11-23 02:03:53,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3637278Z [2022-11-23 02:03:53,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3637798Z [2022-11-23 02:03:53,520] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3638110Z [2022-11-23 02:03:53,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3638432Z [2022-11-23 02:03:53,520] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3638784Z [2022-11-23 02:03:53,521] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3639127Z [2022-11-23 02:03:53,529] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3639394Z [2022-11-23 02:03:53,530] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3639591Z  __compiled_fn_437 <eval_with_key>.3101 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3639726Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3639858Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3640085Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3640228Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3640248Z 
2022-11-23T02:04:40.3640688Z [2022-11-23 02:03:53,530] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3640893Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3641033Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3641164Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3641307Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3641438Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3641548Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3641667Z              12 RETURN_VALUE
2022-11-23T02:04:40.3641687Z 
2022-11-23T02:04:40.3641784Z  
2022-11-23T02:04:40.3642222Z [2022-11-23 02:03:53,530] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3642381Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_437)
2022-11-23T02:04:40.3642518Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3642656Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3642780Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3642890Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3643027Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3643145Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3643338Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3643499Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3643654Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3643788Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3643882Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3644017Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3644137Z              26 RETURN_VALUE
2022-11-23T02:04:40.3644157Z 
2022-11-23T02:04:40.3644330Z  
2022-11-23T02:04:40.3644595Z [2022-11-23 02:03:53,532] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3644708Z  - 
2022-11-23T02:04:40.3644890Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3644970Z             {
2022-11-23T02:04:40.3645167Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3645428Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3645608Z                 'obj_weakref': None
2022-11-23T02:04:40.3645922Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3646025Z             }
2022-11-23T02:04:40.3646128Z             
2022-11-23T02:04:40.3646216Z  - 
2022-11-23T02:04:40.3646400Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3646505Z             {
2022-11-23T02:04:40.3646709Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3646863Z                 'code': None,
2022-11-23T02:04:40.3647152Z                 'obj_weakref': <weakref at 0x7fa5322ae980; to 'Tensor' at 0x7fa53200eb60>
2022-11-23T02:04:40.3647498Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3647580Z             }
2022-11-23T02:04:40.3647683Z             
2022-11-23T02:04:40.3647794Z  - 
2022-11-23T02:04:40.3647978Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3648080Z             {
2022-11-23T02:04:40.3648289Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3648444Z                 'code': None,
2022-11-23T02:04:40.3648711Z                 'obj_weakref': <weakref at 0x7fa5322acea0; to 'Tensor' at 0x7fa5322a78d0>
2022-11-23T02:04:40.3649060Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3649163Z             }
2022-11-23T02:04:40.3649264Z             
2022-11-23T02:04:40.3649380Z  - 
2022-11-23T02:04:40.3649569Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3649669Z             {
2022-11-23T02:04:40.3649840Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3650159Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3650331Z                 'obj_weakref': None
2022-11-23T02:04:40.3650644Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3650752Z             }
2022-11-23T02:04:40.3650852Z             
2022-11-23T02:04:40.3650967Z  - 
2022-11-23T02:04:40.3651117Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3651217Z             {
2022-11-23T02:04:40.3651410Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3651708Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3651878Z                 'obj_weakref': None
2022-11-23T02:04:40.3652183Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3652284Z             }
2022-11-23T02:04:40.3652361Z             
2022-11-23T02:04:40.3652719Z [2022-11-23 02:03:53,540] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 429
2022-11-23T02:04:40.3653220Z [2022-11-23 02:03:56,152] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oq/coqntkrwxcocjmv346xq5kvnpoedfbudnpbidg4fmbapsx22z5sy.py
2022-11-23T02:04:40.3653636Z [2022-11-23 02:03:56,152] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 429
2022-11-23T02:04:40.3653658Z 
2022-11-23T02:04:40.3653805Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3653918Z import torch
2022-11-23T02:04:40.3654027Z import random
2022-11-23T02:04:40.3654195Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3654346Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3654395Z 
2022-11-23T02:04:40.3654494Z aten = torch.ops.aten
2022-11-23T02:04:40.3654692Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3654868Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3654868Z 
2022-11-23T02:04:40.3654903Z 
2022-11-23T02:04:40.3655077Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3655370Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3655544Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T02:04:40.3655701Z                        const double* __restrict__ in_ptr1,
2022-11-23T02:04:40.3655847Z                        double* __restrict__ out_ptr0)
2022-11-23T02:04:40.3655921Z {
2022-11-23T02:04:40.3656493Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3656655Z     {
2022-11-23T02:04:40.3656885Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3657081Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3657240Z         {
2022-11-23T02:04:40.3657418Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3657575Z             {
2022-11-23T02:04:40.3657737Z                 {
2022-11-23T02:04:40.3657908Z                     {
2022-11-23T02:04:40.3658126Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:40.3658283Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T02:04:40.3658447Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T02:04:40.3658568Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:40.3658713Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.3658818Z                     }
2022-11-23T02:04:40.3658919Z                 }
2022-11-23T02:04:40.3659020Z             }
2022-11-23T02:04:40.3659119Z         }
2022-11-23T02:04:40.3659217Z     }
2022-11-23T02:04:40.3659289Z }
2022-11-23T02:04:40.3659428Z ''')
2022-11-23T02:04:40.3659448Z 
2022-11-23T02:04:40.3659466Z 
2022-11-23T02:04:40.3659604Z async_compile.wait(globals())
2022-11-23T02:04:40.3659719Z del async_compile
2022-11-23T02:04:40.3659738Z 
2022-11-23T02:04:40.3659848Z def call(args):
2022-11-23T02:04:40.3659970Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3660086Z     args.clear()
2022-11-23T02:04:40.3660497Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3660733Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3660839Z     del arg0_1
2022-11-23T02:04:40.3660948Z     del arg1_1
2022-11-23T02:04:40.3661063Z     return (buf0, )
2022-11-23T02:04:40.3661082Z 
2022-11-23T02:04:40.3661100Z 
2022-11-23T02:04:40.3661221Z if __name__ == "__main__":
2022-11-23T02:04:40.3661389Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3661567Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3661811Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:40.3662093Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3662265Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3662285Z 
2022-11-23T02:04:40.3662390Z ok (2.643s)
2022-11-23T02:04:40.3662837Z   test_cpu_int_int (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:56,159] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3663337Z [2022-11-23 02:03:56,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3663651Z [2022-11-23 02:03:56,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3663999Z [2022-11-23 02:03:56,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3664375Z [2022-11-23 02:03:56,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3664785Z [2022-11-23 02:03:56,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3665255Z [2022-11-23 02:03:56,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3665693Z [2022-11-23 02:03:56,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3666203Z [2022-11-23 02:03:56,160] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3666343Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3666542Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3666659Z               4 BINARY_ADD
2022-11-23T02:04:40.3666796Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3666914Z               8 RETURN_VALUE
2022-11-23T02:04:40.3666989Z  
2022-11-23T02:04:40.3667008Z 
2022-11-23T02:04:40.3667433Z [2022-11-23 02:03:56,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3667729Z [2022-11-23 02:03:56,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3668059Z [2022-11-23 02:03:56,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3668435Z [2022-11-23 02:03:56,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3668768Z [2022-11-23 02:03:56,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3669109Z [2022-11-23 02:03:56,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3669623Z [2022-11-23 02:03:56,163] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3670032Z [2022-11-23 02:03:56,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3670333Z [2022-11-23 02:03:56,163] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3670686Z [2022-11-23 02:03:56,165] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3671033Z [2022-11-23 02:03:56,169] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3671302Z [2022-11-23 02:03:56,170] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3671495Z  __compiled_fn_438 <eval_with_key>.3107 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3671629Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3671762Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3672014Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3672134Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3672179Z 
2022-11-23T02:04:40.3672599Z [2022-11-23 02:03:56,170] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3672741Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3672953Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3673092Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3673234Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3673371Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3673514Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3673608Z              12 RETURN_VALUE
2022-11-23T02:04:40.3673627Z 
2022-11-23T02:04:40.3673729Z  
2022-11-23T02:04:40.3674169Z [2022-11-23 02:03:56,170] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3674329Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_438)
2022-11-23T02:04:40.3674474Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3674610Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3674727Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3674857Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3674967Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3675080Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3675211Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3675360Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3675506Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3675636Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3675753Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3675862Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3675971Z              26 RETURN_VALUE
2022-11-23T02:04:40.3675990Z 
2022-11-23T02:04:40.3676086Z  
2022-11-23T02:04:40.3676346Z [2022-11-23 02:03:56,172] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3676453Z  - 
2022-11-23T02:04:40.3676622Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3676721Z             {
2022-11-23T02:04:40.3676903Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3677161Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3677330Z                 'obj_weakref': None
2022-11-23T02:04:40.3677640Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3677739Z             }
2022-11-23T02:04:40.3677835Z             
2022-11-23T02:04:40.3677943Z  - 
2022-11-23T02:04:40.3678101Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3678199Z             {
2022-11-23T02:04:40.3678403Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3678559Z                 'code': None,
2022-11-23T02:04:40.3678924Z                 'obj_weakref': <weakref at 0x7fa5322ac040; to 'Tensor' at 0x7fa62380e840>
2022-11-23T02:04:40.3679270Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3679369Z             }
2022-11-23T02:04:40.3679452Z             
2022-11-23T02:04:40.3679563Z  - 
2022-11-23T02:04:40.3679738Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3679834Z             {
2022-11-23T02:04:40.3680033Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3680187Z                 'code': None,
2022-11-23T02:04:40.3680483Z                 'obj_weakref': <weakref at 0x7fa5322ac950; to 'Tensor' at 0x7fa53c4a8220>
2022-11-23T02:04:40.3680804Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3680903Z             }
2022-11-23T02:04:40.3680998Z             
2022-11-23T02:04:40.3681102Z  - 
2022-11-23T02:04:40.3681285Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3681386Z             {
2022-11-23T02:04:40.3681576Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3681793Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3682027Z                 'obj_weakref': None
2022-11-23T02:04:40.3682341Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3682446Z             }
2022-11-23T02:04:40.3682544Z             
2022-11-23T02:04:40.3682650Z  - 
2022-11-23T02:04:40.3682820Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3682898Z             {
2022-11-23T02:04:40.3683085Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3683378Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3683548Z                 'obj_weakref': None
2022-11-23T02:04:40.3683854Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3683955Z             }
2022-11-23T02:04:40.3684050Z             
2022-11-23T02:04:40.3684386Z [2022-11-23 02:03:56,180] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 430
2022-11-23T02:04:40.3684873Z [2022-11-23 02:03:58,802] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6c/c6cdg7od34cydtrt43s3zkty3svfkbguh54zafid5a7v6leoekp2.py
2022-11-23T02:04:40.3685232Z [2022-11-23 02:03:58,802] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 430
2022-11-23T02:04:40.3685253Z 
2022-11-23T02:04:40.3685389Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3685494Z import torch
2022-11-23T02:04:40.3685600Z import random
2022-11-23T02:04:40.3685765Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3685936Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3685955Z 
2022-11-23T02:04:40.3686053Z aten = torch.ops.aten
2022-11-23T02:04:40.3686248Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3686384Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3686403Z 
2022-11-23T02:04:40.3686422Z 
2022-11-23T02:04:40.3686610Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3686893Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3687058Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T02:04:40.3687205Z                        const int* __restrict__ in_ptr1,
2022-11-23T02:04:40.3687345Z                        int* __restrict__ out_ptr0)
2022-11-23T02:04:40.3687418Z {
2022-11-23T02:04:40.3687570Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3687673Z     {
2022-11-23T02:04:40.3687793Z         #pragma omp for 
2022-11-23T02:04:40.3687921Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3688019Z         {
2022-11-23T02:04:40.3688117Z             {
2022-11-23T02:04:40.3688195Z                 {
2022-11-23T02:04:40.3688431Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.3688571Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.3688706Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.3688836Z                     out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.3688944Z                 }
2022-11-23T02:04:40.3689046Z             }
2022-11-23T02:04:40.3689121Z         }
2022-11-23T02:04:40.3689220Z     }
2022-11-23T02:04:40.3689316Z }
2022-11-23T02:04:40.3689520Z ''')
2022-11-23T02:04:40.3689540Z 
2022-11-23T02:04:40.3689558Z 
2022-11-23T02:04:40.3689701Z async_compile.wait(globals())
2022-11-23T02:04:40.3689812Z del async_compile
2022-11-23T02:04:40.3689831Z 
2022-11-23T02:04:40.3689944Z def call(args):
2022-11-23T02:04:40.3690040Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3690155Z     args.clear()
2022-11-23T02:04:40.3690428Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:40.3690660Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3690775Z     del arg0_1
2022-11-23T02:04:40.3690876Z     del arg1_1
2022-11-23T02:04:40.3690992Z     return (buf0, )
2022-11-23T02:04:40.3691011Z 
2022-11-23T02:04:40.3691029Z 
2022-11-23T02:04:40.3691185Z if __name__ == "__main__":
2022-11-23T02:04:40.3691362Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3691542Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3691816Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:40.3692080Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:40.3692250Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3692269Z 
2022-11-23T02:04:40.3692379Z ok (2.650s)
2022-11-23T02:04:40.3692828Z   test_cpu_int_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 02:03:58,810] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3693267Z [2022-11-23 02:03:58,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3693552Z [2022-11-23 02:03:58,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3693899Z [2022-11-23 02:03:58,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3694284Z [2022-11-23 02:03:58,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3694721Z [2022-11-23 02:03:58,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3695191Z [2022-11-23 02:03:58,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3695626Z [2022-11-23 02:03:58,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3696713Z [2022-11-23 02:03:58,811] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3696955Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3697173Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3697326Z               4 BINARY_ADD
2022-11-23T02:04:40.3697536Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3697722Z               8 RETURN_VALUE
2022-11-23T02:04:40.3697879Z  
2022-11-23T02:04:40.3697907Z 
2022-11-23T02:04:40.3698466Z [2022-11-23 02:03:58,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3698760Z [2022-11-23 02:03:58,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3699272Z [2022-11-23 02:03:58,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3699650Z [2022-11-23 02:03:58,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3699983Z [2022-11-23 02:03:58,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3700296Z [2022-11-23 02:03:58,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3700810Z [2022-11-23 02:03:58,814] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3701148Z [2022-11-23 02:03:58,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3701473Z [2022-11-23 02:03:58,814] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3701824Z [2022-11-23 02:03:58,816] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3702254Z [2022-11-23 02:03:58,821] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3702530Z [2022-11-23 02:03:58,822] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3702725Z  __compiled_fn_439 <eval_with_key>.3113 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3702861Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3702969Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3703220Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3703362Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3703382Z 
2022-11-23T02:04:40.3703825Z [2022-11-23 02:03:58,823] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3703976Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3704116Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3704247Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3704390Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3704496Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3704631Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3704752Z              12 RETURN_VALUE
2022-11-23T02:04:40.3704772Z 
2022-11-23T02:04:40.3704870Z  
2022-11-23T02:04:40.3705311Z [2022-11-23 02:03:58,823] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3705477Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_439)
2022-11-23T02:04:40.3705615Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3705727Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3705857Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3705987Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3706118Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3706235Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3706370Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3706525Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3706650Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3706789Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3706904Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3707036Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3707151Z              26 RETURN_VALUE
2022-11-23T02:04:40.3707171Z 
2022-11-23T02:04:40.3707268Z  
2022-11-23T02:04:40.3707532Z [2022-11-23 02:03:58,824] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3707645Z  - 
2022-11-23T02:04:40.3707928Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3708030Z             {
2022-11-23T02:04:40.3708232Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3708495Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3708671Z                 'obj_weakref': None
2022-11-23T02:04:40.3708982Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3709085Z             }
2022-11-23T02:04:40.3709163Z             
2022-11-23T02:04:40.3709272Z  - 
2022-11-23T02:04:40.3709453Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3709558Z             {
2022-11-23T02:04:40.3709763Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3709922Z                 'code': None,
2022-11-23T02:04:40.3710189Z                 'obj_weakref': <weakref at 0x7fa5042fe610; to 'Tensor' at 0x7fa5502c6e30>
2022-11-23T02:04:40.3710535Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3710641Z             }
2022-11-23T02:04:40.3710741Z             
2022-11-23T02:04:40.3710851Z  - 
2022-11-23T02:04:40.3711032Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3711134Z             {
2022-11-23T02:04:40.3711382Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3711551Z                 'code': None,
2022-11-23T02:04:40.3711841Z                 'obj_weakref': <weakref at 0x7fa5042fd0d0; to 'Tensor' at 0x7fa53c4ab0b0>
2022-11-23T02:04:40.3712190Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3712293Z             }
2022-11-23T02:04:40.3712395Z             
2022-11-23T02:04:40.3712507Z  - 
2022-11-23T02:04:40.3712692Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3712770Z             {
2022-11-23T02:04:40.3712964Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3713204Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3713380Z                 'obj_weakref': None
2022-11-23T02:04:40.3713697Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3713802Z             }
2022-11-23T02:04:40.3713900Z             
2022-11-23T02:04:40.3713988Z  - 
2022-11-23T02:04:40.3714164Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3714268Z             {
2022-11-23T02:04:40.3714463Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3714758Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3714930Z                 'obj_weakref': None
2022-11-23T02:04:40.3715233Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3715313Z             }
2022-11-23T02:04:40.3715410Z             
2022-11-23T02:04:40.3715763Z [2022-11-23 02:03:58,833] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 431
2022-11-23T02:04:40.3716259Z [2022-11-23 02:04:01,445] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tj/ctj7esybtntp2t6sl7ks5q6nkuuqulm5aiu3k5vaxes7z3ctyt4u.py
2022-11-23T02:04:40.3716633Z [2022-11-23 02:04:01,446] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 431
2022-11-23T02:04:40.3716654Z 
2022-11-23T02:04:40.3716790Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3716905Z import torch
2022-11-23T02:04:40.3717011Z import random
2022-11-23T02:04:40.3717158Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3717329Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3717348Z 
2022-11-23T02:04:40.3717463Z aten = torch.ops.aten
2022-11-23T02:04:40.3717646Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3717780Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3717866Z 
2022-11-23T02:04:40.3717884Z 
2022-11-23T02:04:40.3718084Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3718358Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3718528Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T02:04:40.3718663Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3718806Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3718899Z {
2022-11-23T02:04:40.3719048Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3719151Z     {
2022-11-23T02:04:40.3719283Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3719403Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3719482Z         {
2022-11-23T02:04:40.3719609Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3719707Z             {
2022-11-23T02:04:40.3719805Z                 {
2022-11-23T02:04:40.3719908Z                     {
2022-11-23T02:04:40.3720051Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T02:04:40.3720184Z                         auto tmp2 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T02:04:40.3720345Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:40.3720534Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:40.3720682Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.3720785Z                     }
2022-11-23T02:04:40.3720885Z                 }
2022-11-23T02:04:40.3720983Z             }
2022-11-23T02:04:40.3721058Z         }
2022-11-23T02:04:40.3721219Z     }
2022-11-23T02:04:40.3721315Z }
2022-11-23T02:04:40.3721438Z ''')
2022-11-23T02:04:40.3721457Z 
2022-11-23T02:04:40.3721476Z 
2022-11-23T02:04:40.3721609Z async_compile.wait(globals())
2022-11-23T02:04:40.3721720Z del async_compile
2022-11-23T02:04:40.3721739Z 
2022-11-23T02:04:40.3721848Z def call(args):
2022-11-23T02:04:40.3721959Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3722049Z     args.clear()
2022-11-23T02:04:40.3722330Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3722555Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3722658Z     del arg0_1
2022-11-23T02:04:40.3722766Z     del arg1_1
2022-11-23T02:04:40.3722875Z     return (buf0, )
2022-11-23T02:04:40.3722895Z 
2022-11-23T02:04:40.3722913Z 
2022-11-23T02:04:40.3723025Z if __name__ == "__main__":
2022-11-23T02:04:40.3723168Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3723346Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3723620Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:40.3723893Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3724054Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3724073Z 
2022-11-23T02:04:40.3724171Z ok (2.643s)
2022-11-23T02:04:40.3724639Z   test_cpu_int_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 02:04:01,453] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3725070Z [2022-11-23 02:04:01,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3725373Z [2022-11-23 02:04:01,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3725699Z [2022-11-23 02:04:01,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3726079Z [2022-11-23 02:04:01,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3726511Z [2022-11-23 02:04:01,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3726971Z [2022-11-23 02:04:01,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3727480Z [2022-11-23 02:04:01,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3727988Z [2022-11-23 02:04:01,455] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3728122Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3728257Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3728368Z               4 BINARY_ADD
2022-11-23T02:04:40.3728479Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3728589Z               8 RETURN_VALUE
2022-11-23T02:04:40.3728682Z  
2022-11-23T02:04:40.3728702Z 
2022-11-23T02:04:40.3729120Z [2022-11-23 02:04:01,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3729413Z [2022-11-23 02:04:01,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3729782Z [2022-11-23 02:04:01,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3730152Z [2022-11-23 02:04:01,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3730477Z [2022-11-23 02:04:01,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3730805Z [2022-11-23 02:04:01,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3731298Z [2022-11-23 02:04:01,458] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3731636Z [2022-11-23 02:04:01,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3731955Z [2022-11-23 02:04:01,458] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3732307Z [2022-11-23 02:04:01,460] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3732643Z [2022-11-23 02:04:01,466] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3732903Z [2022-11-23 02:04:01,466] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3733094Z  __compiled_fn_440 <eval_with_key>.3119 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3733227Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3733334Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3733586Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3733722Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3733745Z 
2022-11-23T02:04:40.3734191Z [2022-11-23 02:04:01,467] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3734335Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3734473Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3734602Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3734735Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3734842Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3734973Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3735085Z              12 RETURN_VALUE
2022-11-23T02:04:40.3735104Z 
2022-11-23T02:04:40.3735199Z  
2022-11-23T02:04:40.3735634Z [2022-11-23 02:04:01,467] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3735792Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_440)
2022-11-23T02:04:40.3735985Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3736785Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3736937Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3737151Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3737356Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3737535Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3737744Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3737989Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3738144Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3738257Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3738370Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3738494Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3738606Z              26 RETURN_VALUE
2022-11-23T02:04:40.3738626Z 
2022-11-23T02:04:40.3738723Z  
2022-11-23T02:04:40.3738998Z [2022-11-23 02:04:01,468] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3739105Z  - 
2022-11-23T02:04:40.3739253Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3739358Z             {
2022-11-23T02:04:40.3739705Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3739975Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3740143Z                 'obj_weakref': None
2022-11-23T02:04:40.3740449Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3740552Z             }
2022-11-23T02:04:40.3740629Z             
2022-11-23T02:04:40.3740738Z  - 
2022-11-23T02:04:40.3740911Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3741007Z             {
2022-11-23T02:04:40.3741206Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3741355Z                 'code': None,
2022-11-23T02:04:40.3741652Z                 'obj_weakref': <weakref at 0x7fa53c356e80; to 'Tensor' at 0x7fa51c4c53f0>
2022-11-23T02:04:40.3741974Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3742074Z             }
2022-11-23T02:04:40.3742169Z             
2022-11-23T02:04:40.3742279Z  - 
2022-11-23T02:04:40.3742452Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3742547Z             {
2022-11-23T02:04:40.3742744Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3742879Z                 'code': None,
2022-11-23T02:04:40.3743163Z                 'obj_weakref': <weakref at 0x7fa51c275800; to 'Tensor' at 0x7fa531f33b00>
2022-11-23T02:04:40.3743502Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3743597Z             }
2022-11-23T02:04:40.3743692Z             
2022-11-23T02:04:40.3743795Z  - 
2022-11-23T02:04:40.3743982Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3744059Z             {
2022-11-23T02:04:40.3744249Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3744484Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3744656Z                 'obj_weakref': None
2022-11-23T02:04:40.3744965Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3745066Z             }
2022-11-23T02:04:40.3745158Z             
2022-11-23T02:04:40.3745309Z  - 
2022-11-23T02:04:40.3745541Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3745639Z             {
2022-11-23T02:04:40.3745827Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3746117Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3746282Z                 'obj_weakref': None
2022-11-23T02:04:40.3746584Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3746758Z             }
2022-11-23T02:04:40.3746854Z             
2022-11-23T02:04:40.3747210Z [2022-11-23 02:04:01,478] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 432
2022-11-23T02:04:40.3747702Z [2022-11-23 02:04:04,106] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3d/c3dutl7nyjnmjc6znmppf24bqqp7rktg5pugc2sfum6vronerb32.py
2022-11-23T02:04:40.3748062Z [2022-11-23 02:04:04,107] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 432
2022-11-23T02:04:40.3748083Z 
2022-11-23T02:04:40.3748220Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3748325Z import torch
2022-11-23T02:04:40.3748431Z import random
2022-11-23T02:04:40.3748576Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3748747Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3748767Z 
2022-11-23T02:04:40.3748884Z aten = torch.ops.aten
2022-11-23T02:04:40.3749074Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3749210Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3749229Z 
2022-11-23T02:04:40.3749248Z 
2022-11-23T02:04:40.3749446Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3749772Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3749949Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T02:04:40.3750101Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3750225Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3750318Z {
2022-11-23T02:04:40.3750460Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3750554Z     {
2022-11-23T02:04:40.3750686Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3750806Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3750884Z         {
2022-11-23T02:04:40.3751010Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3751110Z             {
2022-11-23T02:04:40.3751208Z                 {
2022-11-23T02:04:40.3751308Z                     {
2022-11-23T02:04:40.3751447Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.3751599Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T02:04:40.3751740Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T02:04:40.3751879Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:40.3752017Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.3752120Z                     }
2022-11-23T02:04:40.3752214Z                 }
2022-11-23T02:04:40.3752311Z             }
2022-11-23T02:04:40.3752402Z         }
2022-11-23T02:04:40.3752479Z     }
2022-11-23T02:04:40.3752569Z }
2022-11-23T02:04:40.3752694Z ''')
2022-11-23T02:04:40.3752714Z 
2022-11-23T02:04:40.3752733Z 
2022-11-23T02:04:40.3752862Z async_compile.wait(globals())
2022-11-23T02:04:40.3752970Z del async_compile
2022-11-23T02:04:40.3752993Z 
2022-11-23T02:04:40.3753100Z def call(args):
2022-11-23T02:04:40.3753214Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3753305Z     args.clear()
2022-11-23T02:04:40.3753584Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3753817Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3753919Z     del arg0_1
2022-11-23T02:04:40.3754021Z     del arg1_1
2022-11-23T02:04:40.3754129Z     return (buf0, )
2022-11-23T02:04:40.3754149Z 
2022-11-23T02:04:40.3754166Z 
2022-11-23T02:04:40.3754282Z if __name__ == "__main__":
2022-11-23T02:04:40.3754449Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3754605Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3754871Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:40.3755145Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3755379Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3755398Z 
2022-11-23T02:04:40.3755500Z ok (2.661s)
2022-11-23T02:04:40.3755979Z   test_cpu_strided_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:04:04,115] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3756407Z [2022-11-23 02:04:04,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3756703Z [2022-11-23 02:04:04,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3757047Z [2022-11-23 02:04:04,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3757403Z [2022-11-23 02:04:04,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3757830Z [2022-11-23 02:04:04,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3758415Z [2022-11-23 02:04:04,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3758853Z [2022-11-23 02:04:04,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3759362Z [2022-11-23 02:04:04,116] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3759500Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3759631Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3759741Z               4 BINARY_ADD
2022-11-23T02:04:40.3759872Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3759971Z               8 RETURN_VALUE
2022-11-23T02:04:40.3760066Z  
2022-11-23T02:04:40.3760085Z 
2022-11-23T02:04:40.3760508Z [2022-11-23 02:04:04,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3760796Z [2022-11-23 02:04:04,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3761116Z [2022-11-23 02:04:04,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3761483Z [2022-11-23 02:04:04,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3761812Z [2022-11-23 02:04:04,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3762145Z [2022-11-23 02:04:04,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3762657Z [2022-11-23 02:04:04,119] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3762973Z [2022-11-23 02:04:04,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3763295Z [2022-11-23 02:04:04,119] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3763645Z [2022-11-23 02:04:04,120] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3763980Z [2022-11-23 02:04:04,126] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3764241Z [2022-11-23 02:04:04,127] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3764427Z  __compiled_fn_441 <eval_with_key>.3125 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3764561Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3764687Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3764984Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3765122Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3765141Z 
2022-11-23T02:04:40.3765579Z [2022-11-23 02:04:04,127] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3765718Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3765851Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3765976Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3766112Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3766240Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3766350Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3766463Z              12 RETURN_VALUE
2022-11-23T02:04:40.3766483Z 
2022-11-23T02:04:40.3766577Z  
2022-11-23T02:04:40.3767011Z [2022-11-23 02:04:04,127] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3767175Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_441)
2022-11-23T02:04:40.3767306Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3767495Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3767620Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3767731Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3767860Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3767974Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3768102Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3768252Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3768395Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3768522Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3768616Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3768751Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3768859Z              26 RETURN_VALUE
2022-11-23T02:04:40.3768879Z 
2022-11-23T02:04:40.3768972Z  
2022-11-23T02:04:40.3769234Z [2022-11-23 02:04:04,129] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3769349Z  - 
2022-11-23T02:04:40.3769520Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3769601Z             {
2022-11-23T02:04:40.3769797Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3770057Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3770228Z                 'obj_weakref': None
2022-11-23T02:04:40.3770534Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3770634Z             }
2022-11-23T02:04:40.3770733Z             
2022-11-23T02:04:40.3770820Z  - 
2022-11-23T02:04:40.3771002Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3771105Z             {
2022-11-23T02:04:40.3771304Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3771454Z                 'code': None,
2022-11-23T02:04:40.3771739Z                 'obj_weakref': <weakref at 0x7fa5500f8810; to 'Tensor' at 0x7fa62380e8e0>
2022-11-23T02:04:40.3772090Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3772169Z             }
2022-11-23T02:04:40.3772266Z             
2022-11-23T02:04:40.3772377Z  - 
2022-11-23T02:04:40.3772554Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3772651Z             {
2022-11-23T02:04:40.3772852Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3773003Z                 'code': None,
2022-11-23T02:04:40.3773271Z                 'obj_weakref': <weakref at 0x7fa5500f93f0; to 'Tensor' at 0x7fa62380e930>
2022-11-23T02:04:40.3773611Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3773784Z             }
2022-11-23T02:04:40.3773888Z             
2022-11-23T02:04:40.3773997Z  - 
2022-11-23T02:04:40.3774184Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3774280Z             {
2022-11-23T02:04:40.3774452Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3774688Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3774860Z                 'obj_weakref': None
2022-11-23T02:04:40.3775172Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3775271Z             }
2022-11-23T02:04:40.3775374Z             
2022-11-23T02:04:40.3775479Z  - 
2022-11-23T02:04:40.3775629Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3775727Z             {
2022-11-23T02:04:40.3775912Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3776793Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3777110Z                 'obj_weakref': None
2022-11-23T02:04:40.3777611Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3777765Z             }
2022-11-23T02:04:40.3778100Z             
2022-11-23T02:04:40.3778564Z [2022-11-23 02:04:04,141] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 433
2022-11-23T02:04:40.3779055Z [2022-11-23 02:04:06,786] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dj/cdj5thija4q2yxeqojj5c42rskcvymvsx473zeuh3ni4bge67iz6.py
2022-11-23T02:04:40.3779414Z [2022-11-23 02:04:06,786] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 433
2022-11-23T02:04:40.3779438Z 
2022-11-23T02:04:40.3779578Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3779684Z import torch
2022-11-23T02:04:40.3779789Z import random
2022-11-23T02:04:40.3779952Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3780109Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3780150Z 
2022-11-23T02:04:40.3780248Z aten = torch.ops.aten
2022-11-23T02:04:40.3780436Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3780572Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3780595Z 
2022-11-23T02:04:40.3780614Z 
2022-11-23T02:04:40.3780804Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3781084Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3781259Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.3781411Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3781535Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3781628Z {
2022-11-23T02:04:40.3781770Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3781862Z     {
2022-11-23T02:04:40.3781996Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3782119Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3782214Z         {
2022-11-23T02:04:40.3782320Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3782419Z             {
2022-11-23T02:04:40.3782517Z                 {
2022-11-23T02:04:40.3782623Z                     {
2022-11-23T02:04:40.3782779Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T02:04:40.3782918Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T02:04:40.3783055Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.3783175Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.3783276Z                     }
2022-11-23T02:04:40.3783373Z                 }
2022-11-23T02:04:40.3783468Z             }
2022-11-23T02:04:40.3783566Z         }
2022-11-23T02:04:40.3783661Z     }
2022-11-23T02:04:40.3783754Z }
2022-11-23T02:04:40.3783857Z ''')
2022-11-23T02:04:40.3783876Z 
2022-11-23T02:04:40.3783894Z 
2022-11-23T02:04:40.3784144Z async_compile.wait(globals())
2022-11-23T02:04:40.3784254Z del async_compile
2022-11-23T02:04:40.3784274Z 
2022-11-23T02:04:40.3784379Z def call(args):
2022-11-23T02:04:40.3784493Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3784602Z     args.clear()
2022-11-23T02:04:40.3784886Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3785095Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3785200Z     del arg0_1
2022-11-23T02:04:40.3785300Z     del arg1_1
2022-11-23T02:04:40.3785407Z     return (buf0, )
2022-11-23T02:04:40.3785427Z 
2022-11-23T02:04:40.3785445Z 
2022-11-23T02:04:40.3785559Z if __name__ == "__main__":
2022-11-23T02:04:40.3785720Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3785893Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3786170Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3786418Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3786584Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3786603Z 
2022-11-23T02:04:40.3786704Z ok (2.679s)
2022-11-23T02:04:40.3787209Z   test_cpu_strided_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:04:06,794] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3787643Z [2022-11-23 02:04:06,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3787940Z [2022-11-23 02:04:06,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3788278Z [2022-11-23 02:04:06,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3788654Z [2022-11-23 02:04:06,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3789090Z [2022-11-23 02:04:06,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3789592Z [2022-11-23 02:04:06,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3790028Z [2022-11-23 02:04:06,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3790532Z [2022-11-23 02:04:06,795] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3790668Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3790800Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3790914Z               4 BINARY_ADD
2022-11-23T02:04:40.3791046Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3791159Z               8 RETURN_VALUE
2022-11-23T02:04:40.3791233Z  
2022-11-23T02:04:40.3791272Z 
2022-11-23T02:04:40.3791678Z [2022-11-23 02:04:06,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3791965Z [2022-11-23 02:04:06,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3792286Z [2022-11-23 02:04:06,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3792652Z [2022-11-23 02:04:06,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3792980Z [2022-11-23 02:04:06,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3793315Z [2022-11-23 02:04:06,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3793907Z [2022-11-23 02:04:06,798] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3794245Z [2022-11-23 02:04:06,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3794568Z [2022-11-23 02:04:06,798] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3794892Z [2022-11-23 02:04:06,800] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3795231Z [2022-11-23 02:04:06,806] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3795490Z [2022-11-23 02:04:06,806] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3795677Z  __compiled_fn_442 <eval_with_key>.3131 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3795813Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3795942Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3796189Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3796326Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3796346Z 
2022-11-23T02:04:40.3796810Z [2022-11-23 02:04:06,807] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3796957Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3797090Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3797220Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3797355Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3797480Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3797609Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3797719Z              12 RETURN_VALUE
2022-11-23T02:04:40.3797743Z 
2022-11-23T02:04:40.3797817Z  
2022-11-23T02:04:40.3798251Z [2022-11-23 02:04:06,807] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3798413Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_442)
2022-11-23T02:04:40.3798544Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3798675Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3798789Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3798918Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3799028Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3799138Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3799266Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3799415Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3799559Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3799689Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3799807Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3799934Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3800029Z              26 RETURN_VALUE
2022-11-23T02:04:40.3800048Z 
2022-11-23T02:04:40.3800140Z  
2022-11-23T02:04:40.3800400Z [2022-11-23 02:04:06,808] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3800507Z  - 
2022-11-23T02:04:40.3800676Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3800775Z             {
2022-11-23T02:04:40.3800971Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3801209Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3801379Z                 'obj_weakref': None
2022-11-23T02:04:40.3801686Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3801785Z             }
2022-11-23T02:04:40.3801878Z             
2022-11-23T02:04:40.3801986Z  - 
2022-11-23T02:04:40.3802226Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3802304Z             {
2022-11-23T02:04:40.3802502Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3802654Z                 'code': None,
2022-11-23T02:04:40.3802946Z                 'obj_weakref': <weakref at 0x7fa5500fae80; to 'Tensor' at 0x7fa51c3a39c0>
2022-11-23T02:04:40.3803286Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3803385Z             }
2022-11-23T02:04:40.3803480Z             
2022-11-23T02:04:40.3803568Z  - 
2022-11-23T02:04:40.3803745Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3803843Z             {
2022-11-23T02:04:40.3804041Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3804193Z                 'code': None,
2022-11-23T02:04:40.3804511Z                 'obj_weakref': <weakref at 0x7fa5500fbec0; to 'Tensor' at 0x7fa53c3e28e0>
2022-11-23T02:04:40.3804856Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3804934Z             }
2022-11-23T02:04:40.3805029Z             
2022-11-23T02:04:40.3805134Z  - 
2022-11-23T02:04:40.3805396Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3805504Z             {
2022-11-23T02:04:40.3805695Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3805928Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3806078Z                 'obj_weakref': None
2022-11-23T02:04:40.3806387Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3806482Z             }
2022-11-23T02:04:40.3806578Z             
2022-11-23T02:04:40.3806686Z  - 
2022-11-23T02:04:40.3806855Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3806951Z             {
2022-11-23T02:04:40.3807126Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3807421Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3807589Z                 'obj_weakref': None
2022-11-23T02:04:40.3807894Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3807988Z             }
2022-11-23T02:04:40.3808086Z             
2022-11-23T02:04:40.3808441Z [2022-11-23 02:04:06,818] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 434
2022-11-23T02:04:40.3808910Z [2022-11-23 02:04:09,429] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/w7/cw7gcq4fqb5jievp7i7urekv2jva4og7srcvspieywxrbfem6nnb.py
2022-11-23T02:04:40.3809264Z [2022-11-23 02:04:09,429] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 434
2022-11-23T02:04:40.3809285Z 
2022-11-23T02:04:40.3809419Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3809523Z import torch
2022-11-23T02:04:40.3809631Z import random
2022-11-23T02:04:40.3809794Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3809962Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3809981Z 
2022-11-23T02:04:40.3810096Z aten = torch.ops.aten
2022-11-23T02:04:40.3810268Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3810402Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3810421Z 
2022-11-23T02:04:40.3810440Z 
2022-11-23T02:04:40.3810631Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3810908Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3811077Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.3811227Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3811367Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3811458Z {
2022-11-23T02:04:40.3811580Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3811747Z     {
2022-11-23T02:04:40.3811880Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3811999Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3812095Z         {
2022-11-23T02:04:40.3812221Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3812320Z             {
2022-11-23T02:04:40.3812400Z                 {
2022-11-23T02:04:40.3812500Z                     {
2022-11-23T02:04:40.3812652Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T02:04:40.3812789Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.3812927Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.3813065Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.3813163Z                     }
2022-11-23T02:04:40.3813242Z                 }
2022-11-23T02:04:40.3813336Z             }
2022-11-23T02:04:40.3813430Z         }
2022-11-23T02:04:40.3813523Z     }
2022-11-23T02:04:40.3813614Z }
2022-11-23T02:04:40.3813746Z ''')
2022-11-23T02:04:40.3813765Z 
2022-11-23T02:04:40.3813785Z 
2022-11-23T02:04:40.3813920Z async_compile.wait(globals())
2022-11-23T02:04:40.3814009Z del async_compile
2022-11-23T02:04:40.3814028Z 
2022-11-23T02:04:40.3814134Z def call(args):
2022-11-23T02:04:40.3814303Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3814419Z     args.clear()
2022-11-23T02:04:40.3814709Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3814939Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3815043Z     del arg0_1
2022-11-23T02:04:40.3815125Z     del arg1_1
2022-11-23T02:04:40.3815232Z     return (buf0, )
2022-11-23T02:04:40.3815252Z 
2022-11-23T02:04:40.3815271Z 
2022-11-23T02:04:40.3815385Z if __name__ == "__main__":
2022-11-23T02:04:40.3815548Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3815724Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3816003Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3816969Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3817240Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3817276Z 
2022-11-23T02:04:40.3817417Z ok (2.643s)
2022-11-23T02:04:40.3818081Z   test_cpu_strided_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:04:09,437] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3818519Z [2022-11-23 02:04:09,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3818815Z [2022-11-23 02:04:09,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3819157Z [2022-11-23 02:04:09,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3819537Z [2022-11-23 02:04:09,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3819969Z [2022-11-23 02:04:09,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3820432Z [2022-11-23 02:04:09,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3820860Z [2022-11-23 02:04:09,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3821364Z [2022-11-23 02:04:09,438] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3821481Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3821767Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3821878Z               4 BINARY_ADD
2022-11-23T02:04:40.3822009Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3822121Z               8 RETURN_VALUE
2022-11-23T02:04:40.3822215Z  
2022-11-23T02:04:40.3822235Z 
2022-11-23T02:04:40.3822667Z [2022-11-23 02:04:09,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3822958Z [2022-11-23 02:04:09,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3823261Z [2022-11-23 02:04:09,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3823628Z [2022-11-23 02:04:09,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3823952Z [2022-11-23 02:04:09,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3824285Z [2022-11-23 02:04:09,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3824924Z [2022-11-23 02:04:09,441] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3825268Z [2022-11-23 02:04:09,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3825592Z [2022-11-23 02:04:09,441] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3825938Z [2022-11-23 02:04:09,443] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3826277Z [2022-11-23 02:04:09,448] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3826539Z [2022-11-23 02:04:09,449] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3826713Z  __compiled_fn_443 <eval_with_key>.3137 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3826847Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3826975Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3827226Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3827372Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3827391Z 
2022-11-23T02:04:40.3827824Z [2022-11-23 02:04:09,449] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3827960Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3828092Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3828199Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3828333Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3828457Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3828585Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3828702Z              12 RETURN_VALUE
2022-11-23T02:04:40.3828722Z 
2022-11-23T02:04:40.3828815Z  
2022-11-23T02:04:40.3829253Z [2022-11-23 02:04:09,450] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3829393Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_443)
2022-11-23T02:04:40.3829524Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3829656Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3829770Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3829898Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3830027Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3830138Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3830246Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3830398Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3830615Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3830745Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3830859Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3830985Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3831103Z              26 RETURN_VALUE
2022-11-23T02:04:40.3831123Z 
2022-11-23T02:04:40.3831218Z  
2022-11-23T02:04:40.3831459Z [2022-11-23 02:04:09,451] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3831567Z  - 
2022-11-23T02:04:40.3831733Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3831831Z             {
2022-11-23T02:04:40.3832026Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3832285Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3832454Z                 'obj_weakref': None
2022-11-23T02:04:40.3832745Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3832848Z             }
2022-11-23T02:04:40.3832945Z             
2022-11-23T02:04:40.3833051Z  - 
2022-11-23T02:04:40.3833228Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3833324Z             {
2022-11-23T02:04:40.3833499Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3833706Z                 'code': None,
2022-11-23T02:04:40.3834006Z                 'obj_weakref': <weakref at 0x7fa53200c6d0; to 'Tensor' at 0x7fa51c2762f0>
2022-11-23T02:04:40.3834349Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3834447Z             }
2022-11-23T02:04:40.3834543Z             
2022-11-23T02:04:40.3834649Z  - 
2022-11-23T02:04:40.3834822Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3834900Z             {
2022-11-23T02:04:40.3835100Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3835253Z                 'code': None,
2022-11-23T02:04:40.3835550Z                 'obj_weakref': <weakref at 0x7fa53200de90; to 'Tensor' at 0x7fa53c3e0130>
2022-11-23T02:04:40.3835898Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3835995Z             }
2022-11-23T02:04:40.3836094Z             
2022-11-23T02:04:40.3836183Z  - 
2022-11-23T02:04:40.3836368Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3836462Z             {
2022-11-23T02:04:40.3836651Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3836885Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3837049Z                 'obj_weakref': None
2022-11-23T02:04:40.3837354Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3837432Z             }
2022-11-23T02:04:40.3837525Z             
2022-11-23T02:04:40.3837639Z  - 
2022-11-23T02:04:40.3837812Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3837914Z             {
2022-11-23T02:04:40.3838101Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3838394Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3838543Z                 'obj_weakref': None
2022-11-23T02:04:40.3838846Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3838943Z             }
2022-11-23T02:04:40.3839038Z             
2022-11-23T02:04:40.3839390Z [2022-11-23 02:04:09,460] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 435
2022-11-23T02:04:40.3839888Z [2022-11-23 02:04:12,080] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6h/c6hpkqghowi6zmjkwemg42oelojcrpqjc2y6va3lhh24pivf3i4u.py
2022-11-23T02:04:40.3840247Z [2022-11-23 02:04:12,080] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 435
2022-11-23T02:04:40.3840268Z 
2022-11-23T02:04:40.3840482Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3840568Z import torch
2022-11-23T02:04:40.3840675Z import random
2022-11-23T02:04:40.3840841Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3841011Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3841035Z 
2022-11-23T02:04:40.3841157Z aten = torch.ops.aten
2022-11-23T02:04:40.3841343Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3841476Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3841495Z 
2022-11-23T02:04:40.3841514Z 
2022-11-23T02:04:40.3841711Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3841972Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3842142Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.3842291Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3842437Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3842536Z {
2022-11-23T02:04:40.3842681Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3842776Z     {
2022-11-23T02:04:40.3842889Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3843008Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3843153Z         {
2022-11-23T02:04:40.3843283Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3843380Z             {
2022-11-23T02:04:40.3843477Z                 {
2022-11-23T02:04:40.3843558Z                     {
2022-11-23T02:04:40.3843712Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T02:04:40.3843845Z                         auto tmp1 = in_ptr1[0];
2022-11-23T02:04:40.3843981Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.3844119Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.3844220Z                     }
2022-11-23T02:04:40.3844318Z                 }
2022-11-23T02:04:40.3844394Z             }
2022-11-23T02:04:40.3844498Z         }
2022-11-23T02:04:40.3844592Z     }
2022-11-23T02:04:40.3844682Z }
2022-11-23T02:04:40.3844805Z ''')
2022-11-23T02:04:40.3844824Z 
2022-11-23T02:04:40.3844843Z 
2022-11-23T02:04:40.3844972Z async_compile.wait(globals())
2022-11-23T02:04:40.3845080Z del async_compile
2022-11-23T02:04:40.3845102Z 
2022-11-23T02:04:40.3845209Z def call(args):
2022-11-23T02:04:40.3845306Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3845412Z     args.clear()
2022-11-23T02:04:40.3845686Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3845917Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3846021Z     del arg0_1
2022-11-23T02:04:40.3846121Z     del arg1_1
2022-11-23T02:04:40.3846230Z     return (buf0, )
2022-11-23T02:04:40.3846249Z 
2022-11-23T02:04:40.3846270Z 
2022-11-23T02:04:40.3846364Z if __name__ == "__main__":
2022-11-23T02:04:40.3846528Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3846705Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3846988Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3847254Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3847421Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3847441Z 
2022-11-23T02:04:40.3847543Z ok (2.652s)
2022-11-23T02:04:40.3847994Z   test_cpu_strided_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 02:04:12,088] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3848397Z [2022-11-23 02:04:12,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3848699Z [2022-11-23 02:04:12,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3849039Z [2022-11-23 02:04:12,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3849489Z [2022-11-23 02:04:12,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3849927Z [2022-11-23 02:04:12,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3850392Z [2022-11-23 02:04:12,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3850823Z [2022-11-23 02:04:12,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3851334Z [2022-11-23 02:04:12,089] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3851475Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3851606Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3851697Z               4 BINARY_ADD
2022-11-23T02:04:40.3851827Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3851994Z               8 RETURN_VALUE
2022-11-23T02:04:40.3852094Z  
2022-11-23T02:04:40.3852114Z 
2022-11-23T02:04:40.3852537Z [2022-11-23 02:04:12,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3852824Z [2022-11-23 02:04:12,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3853149Z [2022-11-23 02:04:12,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3853515Z [2022-11-23 02:04:12,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3853825Z [2022-11-23 02:04:12,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3854163Z [2022-11-23 02:04:12,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3854682Z [2022-11-23 02:04:12,092] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3855019Z [2022-11-23 02:04:12,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3855334Z [2022-11-23 02:04:12,092] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3855673Z [2022-11-23 02:04:12,094] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3856011Z [2022-11-23 02:04:12,100] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3857020Z [2022-11-23 02:04:12,100] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3857352Z  __compiled_fn_444 <eval_with_key>.3143 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3857544Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3857749Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3858188Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3858396Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3858420Z 
2022-11-23T02:04:40.3858865Z [2022-11-23 02:04:12,101] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3859007Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3859142Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3859268Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3859383Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3859509Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3859803Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3859919Z              12 RETURN_VALUE
2022-11-23T02:04:40.3859939Z 
2022-11-23T02:04:40.3860031Z  
2022-11-23T02:04:40.3860471Z [2022-11-23 02:04:12,101] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3860629Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_444)
2022-11-23T02:04:40.3860760Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3860873Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3860986Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3861116Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3861244Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3861357Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3861482Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3861637Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3861765Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3861898Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3862011Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3862225Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3862345Z              26 RETURN_VALUE
2022-11-23T02:04:40.3862365Z 
2022-11-23T02:04:40.3862459Z  
2022-11-23T02:04:40.3862717Z [2022-11-23 02:04:12,102] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3862805Z  - 
2022-11-23T02:04:40.3862972Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3863070Z             {
2022-11-23T02:04:40.3863265Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3863521Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3863694Z                 'obj_weakref': None
2022-11-23T02:04:40.3864000Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3864082Z             }
2022-11-23T02:04:40.3864178Z             
2022-11-23T02:04:40.3864284Z  - 
2022-11-23T02:04:40.3864459Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3864560Z             {
2022-11-23T02:04:40.3864756Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3864907Z                 'code': None,
2022-11-23T02:04:40.3865176Z                 'obj_weakref': <weakref at 0x7fa5042fd670; to 'Tensor' at 0x7fa62380e930>
2022-11-23T02:04:40.3865518Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3865615Z             }
2022-11-23T02:04:40.3865711Z             
2022-11-23T02:04:40.3865819Z  - 
2022-11-23T02:04:40.3865993Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3866089Z             {
2022-11-23T02:04:40.3866267Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3866426Z                 'code': None,
2022-11-23T02:04:40.3866711Z                 'obj_weakref': <weakref at 0x7fa5322aff10; to 'Tensor' at 0x7fa62380ea20>
2022-11-23T02:04:40.3867054Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3867152Z             }
2022-11-23T02:04:40.3867247Z             
2022-11-23T02:04:40.3867350Z  - 
2022-11-23T02:04:40.3867513Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3867609Z             {
2022-11-23T02:04:40.3867797Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3868029Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3868203Z                 'obj_weakref': None
2022-11-23T02:04:40.3868516Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3868615Z             }
2022-11-23T02:04:40.3868691Z             
2022-11-23T02:04:40.3868802Z  - 
2022-11-23T02:04:40.3869043Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3869139Z             {
2022-11-23T02:04:40.3869334Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3869629Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3869800Z                 'obj_weakref': None
2022-11-23T02:04:40.3870084Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3870179Z             }
2022-11-23T02:04:40.3870275Z             
2022-11-23T02:04:40.3870630Z [2022-11-23 02:04:12,112] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 436
2022-11-23T02:04:40.3871121Z [2022-11-23 02:04:14,743] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tj/ctjlstbqemh6yiqnfplcn74nun6nuj4rrff7wrfi2gmluzhsjown.py
2022-11-23T02:04:40.3871479Z [2022-11-23 02:04:14,743] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 436
2022-11-23T02:04:40.3871504Z 
2022-11-23T02:04:40.3871641Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3871745Z import torch
2022-11-23T02:04:40.3871831Z import random
2022-11-23T02:04:40.3871996Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3872242Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3872263Z 
2022-11-23T02:04:40.3872386Z aten = torch.ops.aten
2022-11-23T02:04:40.3872575Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3872712Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3872731Z 
2022-11-23T02:04:40.3872750Z 
2022-11-23T02:04:40.3872944Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3873225Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3873397Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.3873527Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3873678Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3873771Z {
2022-11-23T02:04:40.3873914Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3874009Z     {
2022-11-23T02:04:40.3874141Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3874245Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3874340Z         {
2022-11-23T02:04:40.3874465Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3874563Z             {
2022-11-23T02:04:40.3874665Z                 {
2022-11-23T02:04:40.3874767Z                     {
2022-11-23T02:04:40.3874918Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T02:04:40.3875046Z                         auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T02:04:40.3875185Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.3875325Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.3875425Z                     }
2022-11-23T02:04:40.3875527Z                 }
2022-11-23T02:04:40.3875624Z             }
2022-11-23T02:04:40.3875721Z         }
2022-11-23T02:04:40.3875795Z     }
2022-11-23T02:04:40.3875885Z }
2022-11-23T02:04:40.3876015Z ''')
2022-11-23T02:04:40.3876034Z 
2022-11-23T02:04:40.3876053Z 
2022-11-23T02:04:40.3876191Z async_compile.wait(globals())
2022-11-23T02:04:40.3876299Z del async_compile
2022-11-23T02:04:40.3876318Z 
2022-11-23T02:04:40.3876424Z def call(args):
2022-11-23T02:04:40.3876541Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3876628Z     args.clear()
2022-11-23T02:04:40.3876903Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3877132Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3877238Z     del arg0_1
2022-11-23T02:04:40.3877340Z     del arg1_1
2022-11-23T02:04:40.3877450Z     return (buf0, )
2022-11-23T02:04:40.3877469Z 
2022-11-23T02:04:40.3877487Z 
2022-11-23T02:04:40.3877599Z if __name__ == "__main__":
2022-11-23T02:04:40.3877833Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3877989Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3878270Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3878546Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3878712Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3878731Z 
2022-11-23T02:04:40.3878835Z ok (2.663s)
2022-11-23T02:04:40.3879287Z   test_cpu_strided_double (__main__.SweepInputsCpuTest) ... [2022-11-23 02:04:14,751] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3879707Z [2022-11-23 02:04:14,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3880005Z [2022-11-23 02:04:14,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3880355Z [2022-11-23 02:04:14,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3880767Z [2022-11-23 02:04:14,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3881206Z [2022-11-23 02:04:14,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3881670Z [2022-11-23 02:04:14,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3882100Z [2022-11-23 02:04:14,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3882607Z [2022-11-23 02:04:14,753] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3882751Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3882885Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3882994Z               4 BINARY_ADD
2022-11-23T02:04:40.3883129Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3883226Z               8 RETURN_VALUE
2022-11-23T02:04:40.3883321Z  
2022-11-23T02:04:40.3883341Z 
2022-11-23T02:04:40.3883764Z [2022-11-23 02:04:14,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3884053Z [2022-11-23 02:04:14,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3884375Z [2022-11-23 02:04:14,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3884743Z [2022-11-23 02:04:14,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3885074Z [2022-11-23 02:04:14,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3885411Z [2022-11-23 02:04:14,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3885923Z [2022-11-23 02:04:14,755] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3886235Z [2022-11-23 02:04:14,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3886551Z [2022-11-23 02:04:14,756] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3886891Z [2022-11-23 02:04:14,757] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3887230Z [2022-11-23 02:04:14,763] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3887569Z [2022-11-23 02:04:14,763] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3887763Z  __compiled_fn_445 <eval_with_key>.3149 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3887898Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3888025Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3888251Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3888386Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3888406Z 
2022-11-23T02:04:40.3888837Z [2022-11-23 02:04:14,764] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3888973Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3889105Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3889232Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3889371Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3889552Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3889665Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3889783Z              12 RETURN_VALUE
2022-11-23T02:04:40.3889806Z 
2022-11-23T02:04:40.3889976Z  
2022-11-23T02:04:40.3890424Z [2022-11-23 02:04:14,764] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3890582Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_445)
2022-11-23T02:04:40.3890716Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3890847Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3890961Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3891072Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3891201Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3891313Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3891447Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3891597Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3891743Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3891877Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3891972Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3892098Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3892208Z              26 RETURN_VALUE
2022-11-23T02:04:40.3892228Z 
2022-11-23T02:04:40.3892320Z  
2022-11-23T02:04:40.3892578Z [2022-11-23 02:04:14,766] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3892684Z  - 
2022-11-23T02:04:40.3892852Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3892933Z             {
2022-11-23T02:04:40.3893129Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3893381Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3893558Z                 'obj_weakref': None
2022-11-23T02:04:40.3893865Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3893965Z             }
2022-11-23T02:04:40.3894059Z             
2022-11-23T02:04:40.3894144Z  - 
2022-11-23T02:04:40.3894322Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3894418Z             {
2022-11-23T02:04:40.3894617Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3894772Z                 'code': None,
2022-11-23T02:04:40.3895059Z                 'obj_weakref': <weakref at 0x7fa531f4ee30; to 'Tensor' at 0x7fa51c3a39c0>
2022-11-23T02:04:40.3895400Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3895480Z             }
2022-11-23T02:04:40.3895576Z             
2022-11-23T02:04:40.3895683Z  - 
2022-11-23T02:04:40.3895856Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3895951Z             {
2022-11-23T02:04:40.3896781Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3897041Z                 'code': None,
2022-11-23T02:04:40.3897506Z                 'obj_weakref': <weakref at 0x7fa531f4fab0; to 'Tensor' at 0x7fa5320bc450>
2022-11-23T02:04:40.3897975Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3898074Z             }
2022-11-23T02:04:40.3898170Z             
2022-11-23T02:04:40.3898276Z  - 
2022-11-23T02:04:40.3898457Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3898556Z             {
2022-11-23T02:04:40.3898724Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3898957Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3899126Z                 'obj_weakref': None
2022-11-23T02:04:40.3899437Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3899537Z             }
2022-11-23T02:04:40.3899633Z             
2022-11-23T02:04:40.3899738Z  - 
2022-11-23T02:04:40.3899889Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3899986Z             {
2022-11-23T02:04:40.3900173Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3900592Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3900770Z                 'obj_weakref': None
2022-11-23T02:04:40.3901071Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3901167Z             }
2022-11-23T02:04:40.3901242Z             
2022-11-23T02:04:40.3901597Z [2022-11-23 02:04:14,777] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 437
2022-11-23T02:04:40.3902086Z [2022-11-23 02:04:17,390] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eh/ceh76vd7plxgcgu5eqb5wfnn7wq3wiwvcuz3xq432cxuluuucl5o.py
2022-11-23T02:04:40.3902449Z [2022-11-23 02:04:17,391] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 437
2022-11-23T02:04:40.3902472Z 
2022-11-23T02:04:40.3902610Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3902715Z import torch
2022-11-23T02:04:40.3902823Z import random
2022-11-23T02:04:40.3902988Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3903141Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3903181Z 
2022-11-23T02:04:40.3903279Z aten = torch.ops.aten
2022-11-23T02:04:40.3903467Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3903600Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3903618Z 
2022-11-23T02:04:40.3903637Z 
2022-11-23T02:04:40.3903825Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3904109Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3904278Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.3904492Z                        const double* __restrict__ in_ptr1,
2022-11-23T02:04:40.3904679Z                        double* __restrict__ out_ptr0)
2022-11-23T02:04:40.3904769Z {
2022-11-23T02:04:40.3904912Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3905008Z     {
2022-11-23T02:04:40.3905142Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3905262Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3905362Z         {
2022-11-23T02:04:40.3905468Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3905567Z             {
2022-11-23T02:04:40.3905664Z                 {
2022-11-23T02:04:40.3905763Z                     {
2022-11-23T02:04:40.3905914Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T02:04:40.3906059Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T02:04:40.3906221Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T02:04:40.3906337Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:40.3906630Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.3906730Z                     }
2022-11-23T02:04:40.3906828Z                 }
2022-11-23T02:04:40.3906924Z             }
2022-11-23T02:04:40.3907081Z         }
2022-11-23T02:04:40.3907176Z     }
2022-11-23T02:04:40.3907248Z }
2022-11-23T02:04:40.3907380Z ''')
2022-11-23T02:04:40.3907399Z 
2022-11-23T02:04:40.3907418Z 
2022-11-23T02:04:40.3907549Z async_compile.wait(globals())
2022-11-23T02:04:40.3907657Z del async_compile
2022-11-23T02:04:40.3907676Z 
2022-11-23T02:04:40.3907784Z def call(args):
2022-11-23T02:04:40.3907898Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3908008Z     args.clear()
2022-11-23T02:04:40.3908265Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3908492Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3908601Z     del arg0_1
2022-11-23T02:04:40.3908706Z     del arg1_1
2022-11-23T02:04:40.3908815Z     return (buf0, )
2022-11-23T02:04:40.3908834Z 
2022-11-23T02:04:40.3908852Z 
2022-11-23T02:04:40.3908964Z if __name__ == "__main__":
2022-11-23T02:04:40.3909126Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3909354Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3909624Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3909890Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.3910054Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3910073Z 
2022-11-23T02:04:40.3910174Z ok (2.647s)
2022-11-23T02:04:40.3910625Z   test_cpu_strided_int (__main__.SweepInputsCpuTest) ... [2022-11-23 02:04:17,398] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3913429Z [2022-11-23 02:04:17,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3913728Z [2022-11-23 02:04:17,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3914075Z [2022-11-23 02:04:17,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3914451Z [2022-11-23 02:04:17,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3914880Z [2022-11-23 02:04:17,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3915337Z [2022-11-23 02:04:17,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3915769Z [2022-11-23 02:04:17,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3916321Z [2022-11-23 02:04:17,400] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3916459Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3916594Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3916705Z               4 BINARY_ADD
2022-11-23T02:04:40.3916837Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3916951Z               8 RETURN_VALUE
2022-11-23T02:04:40.3917046Z  
2022-11-23T02:04:40.3917067Z 
2022-11-23T02:04:40.3917499Z [2022-11-23 02:04:17,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3917768Z [2022-11-23 02:04:17,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3918094Z [2022-11-23 02:04:17,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3918457Z [2022-11-23 02:04:17,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3918785Z [2022-11-23 02:04:17,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3919117Z [2022-11-23 02:04:17,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3919629Z [2022-11-23 02:04:17,403] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3919960Z [2022-11-23 02:04:17,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3920279Z [2022-11-23 02:04:17,403] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3920627Z [2022-11-23 02:04:17,404] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3920943Z [2022-11-23 02:04:17,410] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3921304Z [2022-11-23 02:04:17,411] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3921501Z  __compiled_fn_446 <eval_with_key>.3155 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3921633Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3921760Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3922007Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3922147Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3922167Z 
2022-11-23T02:04:40.3922604Z [2022-11-23 02:04:17,412] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3922816Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3922949Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3923074Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3923208Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3923338Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3923470Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3923583Z              12 RETURN_VALUE
2022-11-23T02:04:40.3923603Z 
2022-11-23T02:04:40.3923696Z  
2022-11-23T02:04:40.3924108Z [2022-11-23 02:04:17,412] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3924263Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_446)
2022-11-23T02:04:40.3924394Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3924524Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3924644Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3924770Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3924898Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3924991Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3925116Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3925267Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3925415Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3925545Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3925659Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3925790Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3925884Z              26 RETURN_VALUE
2022-11-23T02:04:40.3925922Z 
2022-11-23T02:04:40.3925996Z  
2022-11-23T02:04:40.3926254Z [2022-11-23 02:04:17,413] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3926359Z  - 
2022-11-23T02:04:40.3926527Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3926631Z             {
2022-11-23T02:04:40.3926827Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3927065Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3927236Z                 'obj_weakref': None
2022-11-23T02:04:40.3927542Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3927639Z             }
2022-11-23T02:04:40.3927735Z             
2022-11-23T02:04:40.3927842Z  - 
2022-11-23T02:04:40.3928016Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3928095Z             {
2022-11-23T02:04:40.3928294Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3928447Z                 'code': None,
2022-11-23T02:04:40.3928733Z                 'obj_weakref': <weakref at 0x7fa532225080; to 'Tensor' at 0x7fa51c361d50>
2022-11-23T02:04:40.3929073Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3929173Z             }
2022-11-23T02:04:40.3929266Z             
2022-11-23T02:04:40.3929354Z  - 
2022-11-23T02:04:40.3929524Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3929620Z             {
2022-11-23T02:04:40.3929818Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3930037Z                 'code': None,
2022-11-23T02:04:40.3930336Z                 'obj_weakref': <weakref at 0x7fa531f4c770; to 'Tensor' at 0x7fa51c3a39c0>
2022-11-23T02:04:40.3930673Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3930772Z             }
2022-11-23T02:04:40.3930850Z             
2022-11-23T02:04:40.3930955Z  - 
2022-11-23T02:04:40.3931138Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3931238Z             {
2022-11-23T02:04:40.3931432Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3931672Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3931925Z                 'obj_weakref': None
2022-11-23T02:04:40.3932238Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3932336Z             }
2022-11-23T02:04:40.3932433Z             
2022-11-23T02:04:40.3932537Z  - 
2022-11-23T02:04:40.3932711Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3932805Z             {
2022-11-23T02:04:40.3932977Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3933272Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3933438Z                 'obj_weakref': None
2022-11-23T02:04:40.3933742Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3933837Z             }
2022-11-23T02:04:40.3933933Z             
2022-11-23T02:04:40.3934288Z [2022-11-23 02:04:17,422] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 438
2022-11-23T02:04:40.3934787Z [2022-11-23 02:04:20,027] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hm/chmntgropf5soqxsyvtb6lmzja6fcadf4rwyskhssqravhgmzm5p.py
2022-11-23T02:04:40.3935134Z [2022-11-23 02:04:20,027] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 438
2022-11-23T02:04:40.3935174Z 
2022-11-23T02:04:40.3935295Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3935399Z import torch
2022-11-23T02:04:40.3935505Z import random
2022-11-23T02:04:40.3935670Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3935841Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3935860Z 
2022-11-23T02:04:40.3935974Z aten = torch.ops.aten
2022-11-23T02:04:40.3936907Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3937104Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3937135Z 
2022-11-23T02:04:40.3937185Z 
2022-11-23T02:04:40.3937503Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3937974Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3938259Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.3938480Z                        const int* __restrict__ in_ptr1,
2022-11-23T02:04:40.3938628Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3938723Z {
2022-11-23T02:04:40.3938868Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3938944Z     {
2022-11-23T02:04:40.3939075Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3939198Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3939295Z         {
2022-11-23T02:04:40.3939423Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3939521Z             {
2022-11-23T02:04:40.3939600Z                 {
2022-11-23T02:04:40.3939702Z                     {
2022-11-23T02:04:40.3939855Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T02:04:40.3939998Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T02:04:40.3940157Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T02:04:40.3940294Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:40.3940432Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.3940719Z                     }
2022-11-23T02:04:40.3940830Z                 }
2022-11-23T02:04:40.3940928Z             }
2022-11-23T02:04:40.3941024Z         }
2022-11-23T02:04:40.3941119Z     }
2022-11-23T02:04:40.3941211Z }
2022-11-23T02:04:40.3941342Z ''')
2022-11-23T02:04:40.3941363Z 
2022-11-23T02:04:40.3941381Z 
2022-11-23T02:04:40.3941495Z async_compile.wait(globals())
2022-11-23T02:04:40.3941607Z del async_compile
2022-11-23T02:04:40.3941626Z 
2022-11-23T02:04:40.3941734Z def call(args):
2022-11-23T02:04:40.3941848Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3941958Z     args.clear()
2022-11-23T02:04:40.3942235Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3942580Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3942684Z     del arg0_1
2022-11-23T02:04:40.3942768Z     del arg1_1
2022-11-23T02:04:40.3942879Z     return (buf0, )
2022-11-23T02:04:40.3942903Z 
2022-11-23T02:04:40.3942921Z 
2022-11-23T02:04:40.3943036Z if __name__ == "__main__":
2022-11-23T02:04:40.3943196Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3943374Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3943655Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3943923Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:40.3944068Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3944107Z 
2022-11-23T02:04:40.3944189Z ok (2.637s)
2022-11-23T02:04:40.3944639Z   test_cpu_strided_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 02:04:20,036] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3945066Z [2022-11-23 02:04:20,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3945364Z [2022-11-23 02:04:20,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3945704Z [2022-11-23 02:04:20,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3946075Z [2022-11-23 02:04:20,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3946502Z [2022-11-23 02:04:20,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3946959Z [2022-11-23 02:04:20,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3947395Z [2022-11-23 02:04:20,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3947901Z [2022-11-23 02:04:20,037] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3948020Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3948152Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3948262Z               4 BINARY_ADD
2022-11-23T02:04:40.3948390Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3948504Z               8 RETURN_VALUE
2022-11-23T02:04:40.3948599Z  
2022-11-23T02:04:40.3948618Z 
2022-11-23T02:04:40.3949040Z [2022-11-23 02:04:20,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3949329Z [2022-11-23 02:04:20,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3949634Z [2022-11-23 02:04:20,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3950053Z [2022-11-23 02:04:20,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3950387Z [2022-11-23 02:04:20,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3950729Z [2022-11-23 02:04:20,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3951242Z [2022-11-23 02:04:20,040] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3951574Z [2022-11-23 02:04:20,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3951953Z [2022-11-23 02:04:20,040] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3952294Z [2022-11-23 02:04:20,042] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3952632Z [2022-11-23 02:04:20,048] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3952873Z [2022-11-23 02:04:20,049] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3953065Z  __compiled_fn_447 <eval_with_key>.3161 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3953196Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3953326Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3953569Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3953710Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3953730Z 
2022-11-23T02:04:40.3954169Z [2022-11-23 02:04:20,050] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3954306Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3954418Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3954552Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3954688Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3954815Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3954949Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3955062Z              12 RETURN_VALUE
2022-11-23T02:04:40.3955082Z 
2022-11-23T02:04:40.3955180Z  
2022-11-23T02:04:40.3955614Z [2022-11-23 02:04:20,050] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3955752Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_447)
2022-11-23T02:04:40.3955885Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3956015Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3956131Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3956261Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3956395Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3956510Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3956618Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3956770Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3956918Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3957049Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3957163Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3957290Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3957401Z              26 RETURN_VALUE
2022-11-23T02:04:40.3957420Z 
2022-11-23T02:04:40.3957496Z  
2022-11-23T02:04:40.3957757Z [2022-11-23 02:04:20,051] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3957867Z  - 
2022-11-23T02:04:40.3958032Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3958129Z             {
2022-11-23T02:04:40.3958326Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3958639Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3958798Z                 'obj_weakref': None
2022-11-23T02:04:40.3959106Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3959204Z             }
2022-11-23T02:04:40.3959300Z             
2022-11-23T02:04:40.3959406Z  - 
2022-11-23T02:04:40.3959582Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3959677Z             {
2022-11-23T02:04:40.3959856Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3960009Z                 'code': None,
2022-11-23T02:04:40.3960295Z                 'obj_weakref': <weakref at 0x7fa5322acc20; to 'Tensor' at 0x7fa51c361d50>
2022-11-23T02:04:40.3960707Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3960805Z             }
2022-11-23T02:04:40.3960900Z             
2022-11-23T02:04:40.3961008Z  - 
2022-11-23T02:04:40.3961165Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3961262Z             {
2022-11-23T02:04:40.3961462Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3961616Z                 'code': None,
2022-11-23T02:04:40.3961902Z                 'obj_weakref': <weakref at 0x7fa62380eb10; to 'Tensor' at 0x7fa52467e7f0>
2022-11-23T02:04:40.3962244Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3962341Z             }
2022-11-23T02:04:40.3962418Z             
2022-11-23T02:04:40.3962597Z  - 
2022-11-23T02:04:40.3962779Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3962879Z             {
2022-11-23T02:04:40.3963068Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3963300Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3963472Z                 'obj_weakref': None
2022-11-23T02:04:40.3963766Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3963863Z             }
2022-11-23T02:04:40.3963961Z             
2022-11-23T02:04:40.3964068Z  - 
2022-11-23T02:04:40.3964238Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3964336Z             {
2022-11-23T02:04:40.3964534Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3964808Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3964977Z                 'obj_weakref': None
2022-11-23T02:04:40.3965281Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3965383Z             }
2022-11-23T02:04:40.3965478Z             
2022-11-23T02:04:40.3965830Z [2022-11-23 02:04:20,061] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 439
2022-11-23T02:04:40.3966329Z [2022-11-23 02:04:22,615] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ro/crongyir6jj6kfreu7bjugphzs2zaouhmfuaqbo62pwfwfrqbrlj.py
2022-11-23T02:04:40.3966690Z [2022-11-23 02:04:22,616] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 439
2022-11-23T02:04:40.3966711Z 
2022-11-23T02:04:40.3966832Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3966939Z import torch
2022-11-23T02:04:40.3967043Z import random
2022-11-23T02:04:40.3967206Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3967377Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3967396Z 
2022-11-23T02:04:40.3967514Z aten = torch.ops.aten
2022-11-23T02:04:40.3967702Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3967846Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3967865Z 
2022-11-23T02:04:40.3967884Z 
2022-11-23T02:04:40.3968059Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3968408Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3968584Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.3968735Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.3968879Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.3968972Z {
2022-11-23T02:04:40.3969115Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.3969190Z     {
2022-11-23T02:04:40.3969322Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.3969442Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.3969538Z         {
2022-11-23T02:04:40.3969662Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.3969757Z             {
2022-11-23T02:04:40.3969912Z                 {
2022-11-23T02:04:40.3969993Z                     {
2022-11-23T02:04:40.3970150Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T02:04:40.3970299Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T02:04:40.3970440Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.3970581Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.3970681Z                     }
2022-11-23T02:04:40.3970779Z                 }
2022-11-23T02:04:40.3970857Z             }
2022-11-23T02:04:40.3970952Z         }
2022-11-23T02:04:40.3971045Z     }
2022-11-23T02:04:40.3971134Z }
2022-11-23T02:04:40.3971256Z ''')
2022-11-23T02:04:40.3971277Z 
2022-11-23T02:04:40.3971295Z 
2022-11-23T02:04:40.3971431Z async_compile.wait(globals())
2022-11-23T02:04:40.3971541Z del async_compile
2022-11-23T02:04:40.3971560Z 
2022-11-23T02:04:40.3971647Z def call(args):
2022-11-23T02:04:40.3971762Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.3971874Z     args.clear()
2022-11-23T02:04:40.3972151Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3972380Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.3972482Z     del arg0_1
2022-11-23T02:04:40.3972586Z     del arg1_1
2022-11-23T02:04:40.3972674Z     return (buf0, )
2022-11-23T02:04:40.3972712Z 
2022-11-23T02:04:40.3972730Z 
2022-11-23T02:04:40.3972828Z if __name__ == "__main__":
2022-11-23T02:04:40.3972994Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.3973167Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.3973442Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3973716Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.3973877Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.3973900Z 
2022-11-23T02:04:40.3974005Z ok (2.588s)
2022-11-23T02:04:40.3974464Z   test_cpu_strided_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 02:04:22,624] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.3974876Z [2022-11-23 02:04:22,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.3975175Z [2022-11-23 02:04:22,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.3975517Z [2022-11-23 02:04:22,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.3975892Z [2022-11-23 02:04:22,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.3977050Z [2022-11-23 02:04:22,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3977916Z [2022-11-23 02:04:22,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3978511Z [2022-11-23 02:04:22,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.3979033Z [2022-11-23 02:04:22,626] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.3979170Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.3979301Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.3979391Z               4 BINARY_ADD
2022-11-23T02:04:40.3979521Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.3979632Z               8 RETURN_VALUE
2022-11-23T02:04:40.3979726Z  
2022-11-23T02:04:40.3979745Z 
2022-11-23T02:04:40.3980250Z [2022-11-23 02:04:22,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.3980538Z [2022-11-23 02:04:22,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.3980865Z [2022-11-23 02:04:22,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.3981232Z [2022-11-23 02:04:22,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.3981536Z [2022-11-23 02:04:22,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.3981866Z [2022-11-23 02:04:22,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3982377Z [2022-11-23 02:04:22,628] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.3982710Z [2022-11-23 02:04:22,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.3983028Z [2022-11-23 02:04:22,628] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.3983375Z [2022-11-23 02:04:22,630] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.3983709Z [2022-11-23 02:04:22,636] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.3983970Z [2022-11-23 02:04:22,637] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.3984158Z  __compiled_fn_448 <eval_with_key>.3167 opcode, name, target, args, kwargs
2022-11-23T02:04:40.3984270Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.3984395Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.3984640Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.3984782Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.3984804Z 
2022-11-23T02:04:40.3985237Z [2022-11-23 02:04:22,637] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3985379Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.3985513Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3985640Z               4 BUILD_MAP                0
2022-11-23T02:04:40.3985756Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.3985888Z               8 DICT_MERGE               1
2022-11-23T02:04:40.3986017Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.3986130Z              12 RETURN_VALUE
2022-11-23T02:04:40.3986149Z 
2022-11-23T02:04:40.3986240Z  
2022-11-23T02:04:40.3986670Z [2022-11-23 02:04:22,638] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.3986830Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_448)
2022-11-23T02:04:40.3986961Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3987074Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3987188Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.3987382Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.3987518Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.3987632Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.3987758Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.3987908Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.3988036Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.3988165Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.3988277Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.3988403Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.3988515Z              26 RETURN_VALUE
2022-11-23T02:04:40.3988596Z 
2022-11-23T02:04:40.3988691Z  
2022-11-23T02:04:40.3988952Z [2022-11-23 02:04:22,639] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.3989040Z  - 
2022-11-23T02:04:40.3989206Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.3989304Z             {
2022-11-23T02:04:40.3989509Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.3989828Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.3989998Z                 'obj_weakref': None
2022-11-23T02:04:40.3990307Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.3990387Z             }
2022-11-23T02:04:40.3990486Z             
2022-11-23T02:04:40.3990594Z  - 
2022-11-23T02:04:40.3990772Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.3990869Z             {
2022-11-23T02:04:40.3991068Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3991226Z                 'code': None,
2022-11-23T02:04:40.3991492Z                 'obj_weakref': <weakref at 0x7fa53222f420; to 'Tensor' at 0x7fa51c361d50>
2022-11-23T02:04:40.3991835Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3991930Z             }
2022-11-23T02:04:40.3992030Z             
2022-11-23T02:04:40.3992138Z  - 
2022-11-23T02:04:40.3992316Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.3992414Z             {
2022-11-23T02:04:40.3992593Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.3992748Z                 'code': None,
2022-11-23T02:04:40.3993040Z                 'obj_weakref': <weakref at 0x7fa5322ae2f0; to 'Tensor' at 0x7fa53c4a8130>
2022-11-23T02:04:40.3993381Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.3993480Z             }
2022-11-23T02:04:40.3993576Z             
2022-11-23T02:04:40.3993687Z  - 
2022-11-23T02:04:40.3993850Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.3993947Z             {
2022-11-23T02:04:40.3994134Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.3994364Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.3994538Z                 'obj_weakref': None
2022-11-23T02:04:40.3994850Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.3994946Z             }
2022-11-23T02:04:40.3995026Z             
2022-11-23T02:04:40.3995134Z  - 
2022-11-23T02:04:40.3995306Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.3995404Z             {
2022-11-23T02:04:40.3995596Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.3995889Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.3996059Z                 'obj_weakref': None
2022-11-23T02:04:40.3996349Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.3996447Z             }
2022-11-23T02:04:40.3996543Z             
2022-11-23T02:04:40.3996901Z [2022-11-23 02:04:22,649] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 440
2022-11-23T02:04:40.3997463Z [2022-11-23 02:04:25,278] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tu/ctuqvcx5ujl3vva7jx6gusxpc3ne3ugo2zzfwuu4eqqgkisjxxai.py
2022-11-23T02:04:40.3997837Z [2022-11-23 02:04:25,278] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 440
2022-11-23T02:04:40.3997858Z 
2022-11-23T02:04:40.3997994Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.3998099Z import torch
2022-11-23T02:04:40.3998188Z import random
2022-11-23T02:04:40.3998352Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.3998523Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.3998606Z 
2022-11-23T02:04:40.3998728Z aten = torch.ops.aten
2022-11-23T02:04:40.3998917Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.3999055Z async_compile = AsyncCompile()
2022-11-23T02:04:40.3999074Z 
2022-11-23T02:04:40.3999094Z 
2022-11-23T02:04:40.3999287Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.3999572Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.3999726Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.3999877Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.4000019Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.4000113Z {
2022-11-23T02:04:40.4000258Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.4000355Z     {
2022-11-23T02:04:40.4000490Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.4000589Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.4000686Z         {
2022-11-23T02:04:40.4000816Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.4000914Z             {
2022-11-23T02:04:40.4001011Z                 {
2022-11-23T02:04:40.4001111Z                     {
2022-11-23T02:04:40.4001263Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T02:04:40.4001395Z                         auto tmp1 = in_ptr1[i0 + (10*i1)];
2022-11-23T02:04:40.4001530Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.4001670Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.4001773Z                     }
2022-11-23T02:04:40.4001870Z                 }
2022-11-23T02:04:40.4001965Z             }
2022-11-23T02:04:40.4002062Z         }
2022-11-23T02:04:40.4002138Z     }
2022-11-23T02:04:40.4002228Z }
2022-11-23T02:04:40.4002351Z ''')
2022-11-23T02:04:40.4002371Z 
2022-11-23T02:04:40.4002389Z 
2022-11-23T02:04:40.4002520Z async_compile.wait(globals())
2022-11-23T02:04:40.4002628Z del async_compile
2022-11-23T02:04:40.4002651Z 
2022-11-23T02:04:40.4002758Z def call(args):
2022-11-23T02:04:40.4002870Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.4002957Z     args.clear()
2022-11-23T02:04:40.4003234Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4003463Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.4003568Z     del arg0_1
2022-11-23T02:04:40.4003667Z     del arg1_1
2022-11-23T02:04:40.4003775Z     return (buf0, )
2022-11-23T02:04:40.4003795Z 
2022-11-23T02:04:40.4003813Z 
2022-11-23T02:04:40.4003928Z if __name__ == "__main__":
2022-11-23T02:04:40.4004090Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.4004245Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.4004525Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4004798Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4004966Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.4004986Z 
2022-11-23T02:04:40.4005087Z ok (2.662s)
2022-11-23T02:04:40.4005641Z   test_cpu_transposed_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:04:25,285] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.4006081Z [2022-11-23 02:04:25,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.4006377Z [2022-11-23 02:04:25,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.4006696Z [2022-11-23 02:04:25,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.4007075Z [2022-11-23 02:04:25,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.4007505Z [2022-11-23 02:04:25,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4008036Z [2022-11-23 02:04:25,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4008468Z [2022-11-23 02:04:25,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4008973Z [2022-11-23 02:04:25,287] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.4009108Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.4009242Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.4009352Z               4 BINARY_ADD
2022-11-23T02:04:40.4009478Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.4009578Z               8 RETURN_VALUE
2022-11-23T02:04:40.4009671Z  
2022-11-23T02:04:40.4009691Z 
2022-11-23T02:04:40.4010110Z [2022-11-23 02:04:25,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.4010401Z [2022-11-23 02:04:25,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.4010727Z [2022-11-23 02:04:25,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.4011093Z [2022-11-23 02:04:25,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.4011423Z [2022-11-23 02:04:25,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.4011750Z [2022-11-23 02:04:25,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.4012242Z [2022-11-23 02:04:25,289] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.4012580Z [2022-11-23 02:04:25,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.4012906Z [2022-11-23 02:04:25,290] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.4013250Z [2022-11-23 02:04:25,291] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.4013587Z [2022-11-23 02:04:25,297] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.4013845Z [2022-11-23 02:04:25,297] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.4014034Z  __compiled_fn_449 <eval_with_key>.3173 opcode, name, target, args, kwargs
2022-11-23T02:04:40.4014164Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.4014293Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.4014523Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.4014660Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.4014679Z 
2022-11-23T02:04:40.4015189Z [2022-11-23 02:04:25,298] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.4015338Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.4015469Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4015597Z               4 BUILD_MAP                0
2022-11-23T02:04:40.4015739Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.4015865Z               8 DICT_MERGE               1
2022-11-23T02:04:40.4015975Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.4016702Z              12 RETURN_VALUE
2022-11-23T02:04:40.4016718Z 
2022-11-23T02:04:40.4016895Z  
2022-11-23T02:04:40.4017676Z [2022-11-23 02:04:25,298] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.4018099Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_449)
2022-11-23T02:04:40.4018236Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4018374Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.4018471Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.4018603Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4018736Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.4018847Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.4018977Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.4019128Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.4019283Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.4019414Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.4019509Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.4019640Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.4019756Z              26 RETURN_VALUE
2022-11-23T02:04:40.4019776Z 
2022-11-23T02:04:40.4019866Z  
2022-11-23T02:04:40.4020132Z [2022-11-23 02:04:25,299] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.4020241Z  - 
2022-11-23T02:04:40.4020412Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.4020492Z             {
2022-11-23T02:04:40.4020688Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.4020943Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.4021113Z                 'obj_weakref': None
2022-11-23T02:04:40.4021421Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.4021515Z             }
2022-11-23T02:04:40.4021611Z             
2022-11-23T02:04:40.4021698Z  - 
2022-11-23T02:04:40.4021875Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.4021977Z             {
2022-11-23T02:04:40.4022171Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.4022324Z                 'code': None,
2022-11-23T02:04:40.4022610Z                 'obj_weakref': <weakref at 0x7fa531f4d210; to 'Tensor' at 0x7fa62380ebb0>
2022-11-23T02:04:40.4022955Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.4023034Z             }
2022-11-23T02:04:40.4023130Z             
2022-11-23T02:04:40.4023235Z  - 
2022-11-23T02:04:40.4023406Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.4023501Z             {
2022-11-23T02:04:40.4023698Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.4023850Z                 'code': None,
2022-11-23T02:04:40.4024114Z                 'obj_weakref': <weakref at 0x7fa5500f82c0; to 'Tensor' at 0x7fa5500576a0>
2022-11-23T02:04:40.4024450Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.4024551Z             }
2022-11-23T02:04:40.4024646Z             
2022-11-23T02:04:40.4024750Z  - 
2022-11-23T02:04:40.4024931Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.4025026Z             {
2022-11-23T02:04:40.4025194Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.4025527Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.4025704Z                 'obj_weakref': None
2022-11-23T02:04:40.4026013Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.4026109Z             }
2022-11-23T02:04:40.4026205Z             
2022-11-23T02:04:40.4026309Z  - 
2022-11-23T02:04:40.4026461Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.4026562Z             {
2022-11-23T02:04:40.4026751Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.4027043Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.4027272Z                 'obj_weakref': None
2022-11-23T02:04:40.4027571Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.4027670Z             }
2022-11-23T02:04:40.4027746Z             
2022-11-23T02:04:40.4028103Z [2022-11-23 02:04:25,311] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 441
2022-11-23T02:04:40.4028596Z [2022-11-23 02:04:25,327] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mi/cmiu5neiyrheq33w4uyh3yxpcllxuqojmybx6a53bvvtckyiwwic.py
2022-11-23T02:04:40.4028957Z [2022-11-23 02:04:25,327] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 441
2022-11-23T02:04:40.4028979Z 
2022-11-23T02:04:40.4029118Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.4029222Z import torch
2022-11-23T02:04:40.4029326Z import random
2022-11-23T02:04:40.4029489Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.4029646Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.4029665Z 
2022-11-23T02:04:40.4029782Z aten = torch.ops.aten
2022-11-23T02:04:40.4029971Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.4030105Z async_compile = AsyncCompile()
2022-11-23T02:04:40.4030129Z 
2022-11-23T02:04:40.4030147Z 
2022-11-23T02:04:40.4030341Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.4030619Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.4030788Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.4030938Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.4031061Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.4031157Z {
2022-11-23T02:04:40.4031300Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.4031394Z     {
2022-11-23T02:04:40.4031508Z         #pragma omp for 
2022-11-23T02:04:40.4031632Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.4031728Z         {
2022-11-23T02:04:40.4031832Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:40.4031931Z             {
2022-11-23T02:04:40.4032182Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2022-11-23T02:04:40.4032365Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T02:04:40.4032490Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.4032639Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T02:04:40.4032736Z             }
2022-11-23T02:04:40.4032852Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:40.4032977Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T02:04:40.4033073Z             {
2022-11-23T02:04:40.4033213Z                 auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T02:04:40.4033339Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.4033464Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.4033602Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.4033678Z             }
2022-11-23T02:04:40.4033775Z         }
2022-11-23T02:04:40.4033871Z     }
2022-11-23T02:04:40.4033965Z }
2022-11-23T02:04:40.4034093Z ''')
2022-11-23T02:04:40.4034113Z 
2022-11-23T02:04:40.4034132Z 
2022-11-23T02:04:40.4034316Z async_compile.wait(globals())
2022-11-23T02:04:40.4034435Z del async_compile
2022-11-23T02:04:40.4034454Z 
2022-11-23T02:04:40.4034541Z def call(args):
2022-11-23T02:04:40.4034656Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.4034763Z     args.clear()
2022-11-23T02:04:40.4035039Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4035266Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.4035370Z     del arg0_1
2022-11-23T02:04:40.4035472Z     del arg1_1
2022-11-23T02:04:40.4035561Z     return (buf0, )
2022-11-23T02:04:40.4035599Z 
2022-11-23T02:04:40.4035680Z 
2022-11-23T02:04:40.4035779Z if __name__ == "__main__":
2022-11-23T02:04:40.4035941Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.4036115Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.4036392Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4036658Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4036822Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.4036841Z 
2022-11-23T02:04:40.4036945Z ok (0.049s)
2022-11-23T02:04:40.4037419Z   test_cpu_transposed_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:04:25,335] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.4037826Z [2022-11-23 02:04:25,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.4038124Z [2022-11-23 02:04:25,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.4038471Z [2022-11-23 02:04:25,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.4038852Z [2022-11-23 02:04:25,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.4039279Z [2022-11-23 02:04:25,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4039739Z [2022-11-23 02:04:25,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4040175Z [2022-11-23 02:04:25,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4040683Z [2022-11-23 02:04:25,336] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.4040821Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.4040954Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.4041046Z               4 BINARY_ADD
2022-11-23T02:04:40.4041177Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.4041288Z               8 RETURN_VALUE
2022-11-23T02:04:40.4041381Z  
2022-11-23T02:04:40.4041400Z 
2022-11-23T02:04:40.4041825Z [2022-11-23 02:04:25,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.4042116Z [2022-11-23 02:04:25,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.4042436Z [2022-11-23 02:04:25,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.4042803Z [2022-11-23 02:04:25,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.4043116Z [2022-11-23 02:04:25,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.4043507Z [2022-11-23 02:04:25,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.4044115Z [2022-11-23 02:04:25,339] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.4044447Z [2022-11-23 02:04:25,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.4044763Z [2022-11-23 02:04:25,339] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.4045104Z [2022-11-23 02:04:25,341] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.4045507Z [2022-11-23 02:04:25,347] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.4045768Z [2022-11-23 02:04:25,347] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.4045957Z  __compiled_fn_450 <eval_with_key>.3179 opcode, name, target, args, kwargs
2022-11-23T02:04:40.4046072Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.4046201Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.4046445Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.4046579Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.4046599Z 
2022-11-23T02:04:40.4047034Z [2022-11-23 02:04:25,348] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.4047172Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.4047303Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4047432Z               4 BUILD_MAP                0
2022-11-23T02:04:40.4047547Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.4047673Z               8 DICT_MERGE               1
2022-11-23T02:04:40.4047802Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.4047911Z              12 RETURN_VALUE
2022-11-23T02:04:40.4047934Z 
2022-11-23T02:04:40.4048030Z  
2022-11-23T02:04:40.4048463Z [2022-11-23 02:04:25,348] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.4048615Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_450)
2022-11-23T02:04:40.4048747Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4048860Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.4048975Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.4049103Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4049233Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.4049351Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.4049477Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.4049625Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.4049752Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.4049888Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.4050002Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.4050127Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.4050241Z              26 RETURN_VALUE
2022-11-23T02:04:40.4050260Z 
2022-11-23T02:04:40.4050352Z  
2022-11-23T02:04:40.4050613Z [2022-11-23 02:04:25,349] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.4050701Z  - 
2022-11-23T02:04:40.4050870Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.4050969Z             {
2022-11-23T02:04:40.4051164Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.4051423Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.4051596Z                 'obj_weakref': None
2022-11-23T02:04:40.4051903Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.4051981Z             }
2022-11-23T02:04:40.4052078Z             
2022-11-23T02:04:40.4052185Z  - 
2022-11-23T02:04:40.4052486Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.4052589Z             {
2022-11-23T02:04:40.4052795Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.4052947Z                 'code': None,
2022-11-23T02:04:40.4053212Z                 'obj_weakref': <weakref at 0x7fa5501e5080; to 'Tensor' at 0x7fa62380ec00>
2022-11-23T02:04:40.4053552Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.4053649Z             }
2022-11-23T02:04:40.4053746Z             
2022-11-23T02:04:40.4053849Z  - 
2022-11-23T02:04:40.4054023Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.4054179Z             {
2022-11-23T02:04:40.4054359Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.4054512Z                 'code': None,
2022-11-23T02:04:40.4054796Z                 'obj_weakref': <weakref at 0x7fa5042fc2c0; to 'Tensor' at 0x7fa62380ebb0>
2022-11-23T02:04:40.4055140Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.4055238Z             }
2022-11-23T02:04:40.4055333Z             
2022-11-23T02:04:40.4055438Z  - 
2022-11-23T02:04:40.4055600Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.4055697Z             {
2022-11-23T02:04:40.4055881Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.4056559Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.4056863Z                 'obj_weakref': None
2022-11-23T02:04:40.4057395Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.4057563Z             }
2022-11-23T02:04:40.4057692Z             
2022-11-23T02:04:40.4057870Z  - 
2022-11-23T02:04:40.4058099Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.4066751Z             {
2022-11-23T02:04:40.4067051Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.4067409Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.4067580Z                 'obj_weakref': None
2022-11-23T02:04:40.4068138Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.4068443Z             }
2022-11-23T02:04:40.4068680Z             
2022-11-23T02:04:40.4069187Z [2022-11-23 02:04:25,359] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 442
2022-11-23T02:04:40.4069926Z [2022-11-23 02:04:25,375] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jw/cjwv7uwlb6di6v5f7nvtbrh3nv6c6n4mqspzr65qgp7jn52apnu4.py
2022-11-23T02:04:40.4070663Z [2022-11-23 02:04:25,375] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 442
2022-11-23T02:04:40.4070956Z 
2022-11-23T02:04:40.4071104Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.4071434Z import torch
2022-11-23T02:04:40.4071642Z import random
2022-11-23T02:04:40.4071970Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.4072412Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.4072668Z 
2022-11-23T02:04:40.4072726Z aten = torch.ops.aten
2022-11-23T02:04:40.4073073Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.4073441Z async_compile = AsyncCompile()
2022-11-23T02:04:40.4073634Z 
2022-11-23T02:04:40.4073653Z 
2022-11-23T02:04:40.4073888Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.4074314Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.4074809Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.4075168Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.4075471Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.4075745Z {
2022-11-23T02:04:40.4076330Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.4076612Z     {
2022-11-23T02:04:40.4076898Z         #pragma omp for 
2022-11-23T02:04:40.4077183Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.4077439Z         {
2022-11-23T02:04:40.4077678Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T02:04:40.4077958Z             {
2022-11-23T02:04:40.4078332Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2022-11-23T02:04:40.4078702Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T02:04:40.4079050Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.4079367Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T02:04:40.4079741Z             }
2022-11-23T02:04:40.4080012Z             #pragma omp simd simdlen(4) 
2022-11-23T02:04:40.4080307Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T02:04:40.4080541Z             {
2022-11-23T02:04:40.4080822Z                 auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T02:04:40.4081128Z                 auto tmp1 = in_ptr1[i1];
2022-11-23T02:04:40.4081425Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.4081694Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.4081963Z             }
2022-11-23T02:04:40.4082194Z         }
2022-11-23T02:04:40.4082394Z     }
2022-11-23T02:04:40.4082610Z }
2022-11-23T02:04:40.4082875Z ''')
2022-11-23T02:04:40.4082992Z 
2022-11-23T02:04:40.4083011Z 
2022-11-23T02:04:40.4083147Z async_compile.wait(globals())
2022-11-23T02:04:40.4083432Z del async_compile
2022-11-23T02:04:40.4083592Z 
2022-11-23T02:04:40.4083680Z def call(args):
2022-11-23T02:04:40.4083936Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.4084201Z     args.clear()
2022-11-23T02:04:40.4084624Z     buf0 = empty_strided((1, 10, 10), (100, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4085066Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.4085443Z     del arg0_1
2022-11-23T02:04:40.4085663Z     del arg1_1
2022-11-23T02:04:40.4085953Z     return (buf0, )
2022-11-23T02:04:40.4086049Z 
2022-11-23T02:04:40.4086067Z 
2022-11-23T02:04:40.4086186Z if __name__ == "__main__":
2022-11-23T02:04:40.4086529Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.4086881Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.4087339Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4087841Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4088201Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.4088419Z 
2022-11-23T02:04:40.4088526Z ok (0.048s)
2022-11-23T02:04:40.4089142Z   test_cpu_transposed_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 02:04:25,383] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.4089981Z [2022-11-23 02:04:25,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.4090567Z [2022-11-23 02:04:25,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.4091144Z [2022-11-23 02:04:25,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.4091781Z [2022-11-23 02:04:25,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.4092490Z [2022-11-23 02:04:25,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4093254Z [2022-11-23 02:04:25,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4094153Z [2022-11-23 02:04:25,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4094994Z [2022-11-23 02:04:25,384] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.4095476Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.4095751Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.4096463Z               4 BINARY_ADD
2022-11-23T02:04:40.4096960Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.4097391Z               8 RETURN_VALUE
2022-11-23T02:04:40.4097815Z  
2022-11-23T02:04:40.4098040Z 
2022-11-23T02:04:40.4098771Z [2022-11-23 02:04:25,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.4099350Z [2022-11-23 02:04:25,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.4099882Z [2022-11-23 02:04:25,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.4100498Z [2022-11-23 02:04:25,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.4101103Z [2022-11-23 02:04:25,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.4101691Z [2022-11-23 02:04:25,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.4102444Z [2022-11-23 02:04:25,387] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.4103136Z [2022-11-23 02:04:25,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.4103705Z [2022-11-23 02:04:25,387] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.4104292Z [2022-11-23 02:04:25,389] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.4104868Z [2022-11-23 02:04:25,395] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.4105385Z [2022-11-23 02:04:25,395] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.4105789Z  __compiled_fn_451 <eval_with_key>.3185 opcode, name, target, args, kwargs
2022-11-23T02:04:40.4106118Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.4106419Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.4106835Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.4107168Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.4107363Z 
2022-11-23T02:04:40.4107810Z [2022-11-23 02:04:25,396] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.4108269Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.4108574Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4108843Z               4 BUILD_MAP                0
2022-11-23T02:04:40.4109141Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.4109439Z               8 DICT_MERGE               1
2022-11-23T02:04:40.4109711Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.4109995Z              12 RETURN_VALUE
2022-11-23T02:04:40.4110162Z 
2022-11-23T02:04:40.4110260Z  
2022-11-23T02:04:40.4110831Z [2022-11-23 02:04:25,396] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.4111287Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_451)
2022-11-23T02:04:40.4111610Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4111915Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.4112178Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.4112581Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4112892Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.4113147Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.4113427Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.4113745Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.4114044Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.4114350Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.4114635Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.4114919Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.4115236Z              26 RETURN_VALUE
2022-11-23T02:04:40.4115407Z 
2022-11-23T02:04:40.4115505Z  
2022-11-23T02:04:40.4115896Z [2022-11-23 02:04:25,398] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.4116189Z  - 
2022-11-23T02:04:40.4116502Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.4116766Z             {
2022-11-23T02:04:40.4117077Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.4117521Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.4117895Z                 'obj_weakref': None
2022-11-23T02:04:40.4118340Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.4118676Z             }
2022-11-23T02:04:40.4118912Z             
2022-11-23T02:04:40.4119128Z  - 
2022-11-23T02:04:40.4119434Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.4119701Z             {
2022-11-23T02:04:40.4120016Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.4120355Z                 'code': None,
2022-11-23T02:04:40.4120805Z                 'obj_weakref': <weakref at 0x7fa53c3755d0; to 'Tensor' at 0x7fa62380ebb0>
2022-11-23T02:04:40.4121370Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.4121700Z             }
2022-11-23T02:04:40.4121930Z             
2022-11-23T02:04:40.4122173Z  - 
2022-11-23T02:04:40.4122459Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.4122715Z             {
2022-11-23T02:04:40.4123047Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.4123355Z                 'code': None,
2022-11-23T02:04:40.4123840Z                 'obj_weakref': <weakref at 0x7fa5500f9df0; to 'Tensor' at 0x7fa62380ec50>
2022-11-23T02:04:40.4124396Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.4124712Z             }
2022-11-23T02:04:40.4124944Z             
2022-11-23T02:04:40.4125185Z  - 
2022-11-23T02:04:40.4125473Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.4125742Z             {
2022-11-23T02:04:40.4126067Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.4126447Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.4126818Z                 'obj_weakref': None
2022-11-23T02:04:40.4127293Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.4127628Z             }
2022-11-23T02:04:40.4127837Z             
2022-11-23T02:04:40.4128081Z  - 
2022-11-23T02:04:40.4128386Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.4128626Z             {
2022-11-23T02:04:40.4128955Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.4129427Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.4129800Z                 'obj_weakref': None
2022-11-23T02:04:40.4130281Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.4130610Z             }
2022-11-23T02:04:40.4130822Z             
2022-11-23T02:04:40.4131313Z [2022-11-23 02:04:25,407] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 443
2022-11-23T02:04:40.4132174Z [2022-11-23 02:04:25,422] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ua/cuaan7tnluatiqnwm45xjnfpusafy5nw6xucylivb7rqmfxxjbnt.py
2022-11-23T02:04:40.4132918Z [2022-11-23 02:04:25,422] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 443
2022-11-23T02:04:40.4133181Z 
2022-11-23T02:04:40.4133328Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.4133608Z import torch
2022-11-23T02:04:40.4133858Z import random
2022-11-23T02:04:40.4134144Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.4134522Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.4134818Z 
2022-11-23T02:04:40.4134940Z aten = torch.ops.aten
2022-11-23T02:04:40.4135269Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.4135627Z async_compile = AsyncCompile()
2022-11-23T02:04:40.4135814Z 
2022-11-23T02:04:40.4135833Z 
2022-11-23T02:04:40.4136620Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.4137442Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.4138198Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.4138552Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.4138882Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.4139128Z {
2022-11-23T02:04:40.4139396Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.4139669Z     {
2022-11-23T02:04:40.4139889Z         #pragma omp for 
2022-11-23T02:04:40.4140167Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:40.4140422Z         {
2022-11-23T02:04:40.4140754Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.4141190Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T02:04:40.4141511Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.4141808Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.4142053Z         }
2022-11-23T02:04:40.4142321Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.4142614Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T02:04:40.4142847Z         {
2022-11-23T02:04:40.4143098Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.4143378Z             auto tmp1 = in_ptr1[0];
2022-11-23T02:04:40.4143638Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.4143917Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.4144173Z         }
2022-11-23T02:04:40.4144375Z     }
2022-11-23T02:04:40.4144594Z }
2022-11-23T02:04:40.4144882Z ''')
2022-11-23T02:04:40.4145001Z 
2022-11-23T02:04:40.4145020Z 
2022-11-23T02:04:40.4145164Z async_compile.wait(globals())
2022-11-23T02:04:40.4145444Z del async_compile
2022-11-23T02:04:40.4145604Z 
2022-11-23T02:04:40.4145717Z def call(args):
2022-11-23T02:04:40.4145951Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.4146211Z     args.clear()
2022-11-23T02:04:40.4146645Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4147067Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.4147418Z     del arg0_1
2022-11-23T02:04:40.4147655Z     del arg1_1
2022-11-23T02:04:40.4147902Z     return (buf0, )
2022-11-23T02:04:40.4148039Z 
2022-11-23T02:04:40.4148058Z 
2022-11-23T02:04:40.4148179Z if __name__ == "__main__":
2022-11-23T02:04:40.4148489Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.4148856Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.4149318Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4149804Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4150184Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.4150393Z 
2022-11-23T02:04:40.4150480Z ok (0.047s)
2022-11-23T02:04:40.4151294Z   test_cpu_transposed_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 02:04:25,430] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.4152067Z [2022-11-23 02:04:25,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.4152672Z [2022-11-23 02:04:25,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.4153225Z [2022-11-23 02:04:25,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.4153863Z [2022-11-23 02:04:25,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.4154683Z [2022-11-23 02:04:25,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4155467Z [2022-11-23 02:04:25,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4156207Z [2022-11-23 02:04:25,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4157040Z [2022-11-23 02:04:25,431] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.4157523Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.4157818Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.4158071Z               4 BINARY_ADD
2022-11-23T02:04:40.4158361Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.4158637Z               8 RETURN_VALUE
2022-11-23T02:04:40.4158862Z  
2022-11-23T02:04:40.4159002Z 
2022-11-23T02:04:40.4159446Z [2022-11-23 02:04:25,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.4160044Z [2022-11-23 02:04:25,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.4160593Z [2022-11-23 02:04:25,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.4161183Z [2022-11-23 02:04:25,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.4161780Z [2022-11-23 02:04:25,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.4162366Z [2022-11-23 02:04:25,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.4163151Z [2022-11-23 02:04:25,434] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.4163818Z [2022-11-23 02:04:25,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.4164390Z [2022-11-23 02:04:25,434] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.4164989Z [2022-11-23 02:04:25,435] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.4165587Z [2022-11-23 02:04:25,441] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.4166080Z [2022-11-23 02:04:25,442] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.4166490Z  __compiled_fn_452 <eval_with_key>.3191 opcode, name, target, args, kwargs
2022-11-23T02:04:40.4166852Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.4167125Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.4167539Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.4167897Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.4168089Z 
2022-11-23T02:04:40.4168641Z [2022-11-23 02:04:25,442] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.4169077Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.4169385Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4169685Z               4 BUILD_MAP                0
2022-11-23T02:04:40.4169961Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.4170251Z               8 DICT_MERGE               1
2022-11-23T02:04:40.4170545Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.4170799Z              12 RETURN_VALUE
2022-11-23T02:04:40.4171034Z 
2022-11-23T02:04:40.4171133Z  
2022-11-23T02:04:40.4171708Z [2022-11-23 02:04:25,442] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.4172184Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_452)
2022-11-23T02:04:40.4172483Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4172781Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.4173066Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.4173328Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4173620Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.4173893Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.4174148Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.4174468Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.4174785Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.4175066Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.4175354Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.4175635Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.4175885Z              26 RETURN_VALUE
2022-11-23T02:04:40.4176597Z 
2022-11-23T02:04:40.4176758Z  
2022-11-23T02:04:40.4177425Z [2022-11-23 02:04:25,444] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.4177966Z  - 
2022-11-23T02:04:40.4178400Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.4178668Z             {
2022-11-23T02:04:40.4179010Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.4179421Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.4179794Z                 'obj_weakref': None
2022-11-23T02:04:40.4180264Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.4180568Z             }
2022-11-23T02:04:40.4180800Z             
2022-11-23T02:04:40.4181055Z  - 
2022-11-23T02:04:40.4181337Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.4181594Z             {
2022-11-23T02:04:40.4181927Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.4182233Z                 'code': None,
2022-11-23T02:04:40.4182676Z                 'obj_weakref': <weakref at 0x7fa5322aec50; to 'Tensor' at 0x7fa53c377330>
2022-11-23T02:04:40.4183246Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.4183592Z             }
2022-11-23T02:04:40.4183804Z             
2022-11-23T02:04:40.4184049Z  - 
2022-11-23T02:04:40.4184358Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.4184598Z             {
2022-11-23T02:04:40.4184935Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.4185270Z                 'code': None,
2022-11-23T02:04:40.4185687Z                 'obj_weakref': <weakref at 0x7fa5322bbe70; to 'Tensor' at 0x7fa53c3e20c0>
2022-11-23T02:04:40.4186256Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.4186598Z             }
2022-11-23T02:04:40.4186801Z             
2022-11-23T02:04:40.4187044Z  - 
2022-11-23T02:04:40.4187352Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.4187599Z             {
2022-11-23T02:04:40.4188141Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.4188569Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.4188901Z                 'obj_weakref': None
2022-11-23T02:04:40.4189376Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.4189751Z             }
2022-11-23T02:04:40.4189963Z             
2022-11-23T02:04:40.4190209Z  - 
2022-11-23T02:04:40.4190504Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.4190742Z             {
2022-11-23T02:04:40.4191069Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.4191626Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.4192016Z                 'obj_weakref': None
2022-11-23T02:04:40.4192453Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.4192786Z             }
2022-11-23T02:04:40.4193019Z             
2022-11-23T02:04:40.4193488Z [2022-11-23 02:04:25,453] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 444
2022-11-23T02:04:40.4194244Z [2022-11-23 02:04:28,083] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/np/cnpilvdd74uak3wsvwu57hixrgiddt7fkxhyfpqk5izumpbpgzzd.py
2022-11-23T02:04:40.4194974Z [2022-11-23 02:04:28,084] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 444
2022-11-23T02:04:40.4195255Z 
2022-11-23T02:04:40.4195403Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.4195658Z import torch
2022-11-23T02:04:40.4195907Z import random
2022-11-23T02:04:40.4196213Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.4196559Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.4196784Z 
2022-11-23T02:04:40.4196910Z aten = torch.ops.aten
2022-11-23T02:04:40.4197274Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.4197605Z async_compile = AsyncCompile()
2022-11-23T02:04:40.4197798Z 
2022-11-23T02:04:40.4197817Z 
2022-11-23T02:04:40.4198016Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.4198471Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.4198949Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.4199273Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.4199589Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.4199870Z {
2022-11-23T02:04:40.4200113Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.4200401Z     {
2022-11-23T02:04:40.4200664Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.4200933Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.4201187Z         {
2022-11-23T02:04:40.4201442Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.4201672Z             {
2022-11-23T02:04:40.4201913Z                 {
2022-11-23T02:04:40.4202152Z                     {
2022-11-23T02:04:40.4202417Z                         auto tmp0 = in_ptr0[i0 + (10*i1)];
2022-11-23T02:04:40.4202748Z                         auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T02:04:40.4203061Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.4203348Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.4203627Z                     }
2022-11-23T02:04:40.4203866Z                 }
2022-11-23T02:04:40.4204135Z             }
2022-11-23T02:04:40.4204363Z         }
2022-11-23T02:04:40.4204583Z     }
2022-11-23T02:04:40.4204776Z }
2022-11-23T02:04:40.4205030Z ''')
2022-11-23T02:04:40.4205182Z 
2022-11-23T02:04:40.4205200Z 
2022-11-23T02:04:40.4205339Z async_compile.wait(globals())
2022-11-23T02:04:40.4205620Z del async_compile
2022-11-23T02:04:40.4205755Z 
2022-11-23T02:04:40.4205865Z def call(args):
2022-11-23T02:04:40.4206128Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.4206485Z     args.clear()
2022-11-23T02:04:40.4206907Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4207433Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.4207785Z     del arg0_1
2022-11-23T02:04:40.4208005Z     del arg1_1
2022-11-23T02:04:40.4208248Z     return (buf0, )
2022-11-23T02:04:40.4208410Z 
2022-11-23T02:04:40.4208428Z 
2022-11-23T02:04:40.4208548Z if __name__ == "__main__":
2022-11-23T02:04:40.4208833Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.4209202Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.4209770Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4210254Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4210606Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.4210818Z 
2022-11-23T02:04:40.4210929Z ok (2.662s)
2022-11-23T02:04:40.4211529Z   test_cpu_transposed_double (__main__.SweepInputsCpuTest) ... [2022-11-23 02:04:28,091] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.4212258Z [2022-11-23 02:04:28,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.4212874Z [2022-11-23 02:04:28,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.4213449Z [2022-11-23 02:04:28,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.4214089Z [2022-11-23 02:04:28,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.4214774Z [2022-11-23 02:04:28,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4215552Z [2022-11-23 02:04:28,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4217009Z [2022-11-23 02:04:28,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4218231Z [2022-11-23 02:04:28,093] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.4218725Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.4219008Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.4219285Z               4 BINARY_ADD
2022-11-23T02:04:40.4219565Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.4219917Z               8 RETURN_VALUE
2022-11-23T02:04:40.4220156Z  
2022-11-23T02:04:40.4220298Z 
2022-11-23T02:04:40.4220735Z [2022-11-23 02:04:28,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.4221303Z [2022-11-23 02:04:28,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.4221850Z [2022-11-23 02:04:28,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.4222461Z [2022-11-23 02:04:28,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.4223063Z [2022-11-23 02:04:28,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.4223626Z [2022-11-23 02:04:28,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.4224405Z [2022-11-23 02:04:28,096] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.4225305Z [2022-11-23 02:04:28,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.4225900Z [2022-11-23 02:04:28,096] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.4226466Z [2022-11-23 02:04:28,097] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.4227063Z [2022-11-23 02:04:28,103] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.4227576Z [2022-11-23 02:04:28,104] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.4228060Z  __compiled_fn_453 <eval_with_key>.3197 opcode, name, target, args, kwargs
2022-11-23T02:04:40.4228388Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.4228686Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.4229107Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.4229431Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.4229624Z 
2022-11-23T02:04:40.4230065Z [2022-11-23 02:04:28,104] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.4230518Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.4230797Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4231089Z               4 BUILD_MAP                0
2022-11-23T02:04:40.4231386Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.4231683Z               8 DICT_MERGE               1
2022-11-23T02:04:40.4231957Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.4232252Z              12 RETURN_VALUE
2022-11-23T02:04:40.4232420Z 
2022-11-23T02:04:40.4232524Z  
2022-11-23T02:04:40.4233064Z [2022-11-23 02:04:28,105] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.4233539Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_453)
2022-11-23T02:04:40.4233861Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4234138Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.4234416Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.4234706Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4235003Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.4235254Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.4235530Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.4235843Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.4236149Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.4236459Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.4236730Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.4236992Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.4237268Z              26 RETURN_VALUE
2022-11-23T02:04:40.4237438Z 
2022-11-23T02:04:40.4237537Z  
2022-11-23T02:04:40.4237912Z [2022-11-23 02:04:28,106] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.4238232Z  - 
2022-11-23T02:04:40.4238524Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.4238759Z             {
2022-11-23T02:04:40.4239096Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.4239526Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.4239903Z                 'obj_weakref': None
2022-11-23T02:04:40.4240352Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.4240689Z             }
2022-11-23T02:04:40.4240918Z             
2022-11-23T02:04:40.4241139Z  - 
2022-11-23T02:04:40.4241455Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.4241717Z             {
2022-11-23T02:04:40.4242032Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.4242371Z                 'code': None,
2022-11-23T02:04:40.4242923Z                 'obj_weakref': <weakref at 0x7fa5322c7a10; to 'Tensor' at 0x7fa62380ecf0>
2022-11-23T02:04:40.4243470Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.4243818Z             }
2022-11-23T02:04:40.4244053Z             
2022-11-23T02:04:40.4244270Z  - 
2022-11-23T02:04:40.4244576Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.4244853Z             {
2022-11-23T02:04:40.4245164Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.4245495Z                 'code': None,
2022-11-23T02:04:40.4245933Z                 'obj_weakref': <weakref at 0x7fa5322c7740; to 'Tensor' at 0x7fa5320bccc0>
2022-11-23T02:04:40.4246565Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.4246886Z             }
2022-11-23T02:04:40.4247116Z             
2022-11-23T02:04:40.4247364Z  - 
2022-11-23T02:04:40.4247660Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.4247933Z             {
2022-11-23T02:04:40.4248262Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.4248645Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.4249001Z                 'obj_weakref': None
2022-11-23T02:04:40.4249474Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.4249782Z             }
2022-11-23T02:04:40.4250011Z             
2022-11-23T02:04:40.4250256Z  - 
2022-11-23T02:04:40.4250536Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.4250812Z             {
2022-11-23T02:04:40.4251141Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.4251585Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.4251978Z                 'obj_weakref': None
2022-11-23T02:04:40.4252448Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.4252780Z             }
2022-11-23T02:04:40.4252992Z             
2022-11-23T02:04:40.4253485Z [2022-11-23 02:04:28,118] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 445
2022-11-23T02:04:40.4254249Z [2022-11-23 02:04:30,718] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kl/ckl7zxq7qbq2scgptd7sprniqjlgybnxwekekfc35wmu4rpnsncn.py
2022-11-23T02:04:40.4254954Z [2022-11-23 02:04:30,718] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 445
2022-11-23T02:04:40.4255242Z 
2022-11-23T02:04:40.4255393Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.4255693Z import torch
2022-11-23T02:04:40.4255925Z import random
2022-11-23T02:04:40.4256953Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.4257567Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.4257949Z 
2022-11-23T02:04:40.4258153Z aten = torch.ops.aten
2022-11-23T02:04:40.4258554Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.4258907Z async_compile = AsyncCompile()
2022-11-23T02:04:40.4259093Z 
2022-11-23T02:04:40.4259113Z 
2022-11-23T02:04:40.4259339Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.4259778Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.4260252Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.4260599Z                        const double* __restrict__ in_ptr1,
2022-11-23T02:04:40.4260922Z                        double* __restrict__ out_ptr0)
2022-11-23T02:04:40.4261177Z {
2022-11-23T02:04:40.4261441Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.4261718Z     {
2022-11-23T02:04:40.4261952Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.4262247Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.4262503Z         {
2022-11-23T02:04:40.4262804Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.4262919Z             {
2022-11-23T02:04:40.4263021Z                 {
2022-11-23T02:04:40.4263130Z                     {
2022-11-23T02:04:40.4263288Z                         auto tmp0 = in_ptr0[i0 + (10*i1)];
2022-11-23T02:04:40.4263438Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T02:04:40.4263601Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T02:04:40.4263720Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T02:04:40.4263863Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.4263971Z                     }
2022-11-23T02:04:40.4264151Z                 }
2022-11-23T02:04:40.4264251Z             }
2022-11-23T02:04:40.4264357Z         }
2022-11-23T02:04:40.4264458Z     }
2022-11-23T02:04:40.4264533Z }
2022-11-23T02:04:40.4264658Z ''')
2022-11-23T02:04:40.4264678Z 
2022-11-23T02:04:40.4264697Z 
2022-11-23T02:04:40.4264835Z async_compile.wait(globals())
2022-11-23T02:04:40.4264951Z del async_compile
2022-11-23T02:04:40.4264974Z 
2022-11-23T02:04:40.4265084Z def call(args):
2022-11-23T02:04:40.4265203Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.4265315Z     args.clear()
2022-11-23T02:04:40.4265573Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.4265804Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.4265913Z     del arg0_1
2022-11-23T02:04:40.4266020Z     del arg1_1
2022-11-23T02:04:40.4266132Z     return (buf0, )
2022-11-23T02:04:40.4266151Z 
2022-11-23T02:04:40.4266170Z 
2022-11-23T02:04:40.4266285Z if __name__ == "__main__":
2022-11-23T02:04:40.4266463Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.4266641Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.4266898Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4267177Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T02:04:40.4267351Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.4267371Z 
2022-11-23T02:04:40.4267483Z ok (2.634s)
2022-11-23T02:04:40.4267937Z   test_cpu_transposed_int (__main__.SweepInputsCpuTest) ... [2022-11-23 02:04:30,726] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.4268365Z [2022-11-23 02:04:30,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.4268667Z [2022-11-23 02:04:30,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.4269026Z [2022-11-23 02:04:30,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.4269378Z [2022-11-23 02:04:30,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.4269816Z [2022-11-23 02:04:30,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4270280Z [2022-11-23 02:04:30,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4270716Z [2022-11-23 02:04:30,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4271226Z [2022-11-23 02:04:30,727] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.4271370Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.4271506Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.4271623Z               4 BINARY_ADD
2022-11-23T02:04:40.4271857Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.4271958Z               8 RETURN_VALUE
2022-11-23T02:04:40.4272056Z  
2022-11-23T02:04:40.4272076Z 
2022-11-23T02:04:40.4272503Z [2022-11-23 02:04:30,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.4272794Z [2022-11-23 02:04:30,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.4273121Z [2022-11-23 02:04:30,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.4273500Z [2022-11-23 02:04:30,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.4273899Z [2022-11-23 02:04:30,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.4274237Z [2022-11-23 02:04:30,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.4274755Z [2022-11-23 02:04:30,730] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.4275096Z [2022-11-23 02:04:30,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.4275463Z [2022-11-23 02:04:30,730] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.4275808Z [2022-11-23 02:04:30,732] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.4276152Z [2022-11-23 02:04:30,738] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.4276423Z [2022-11-23 02:04:30,738] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.4276611Z  __compiled_fn_454 <eval_with_key>.3203 opcode, name, target, args, kwargs
2022-11-23T02:04:40.4276750Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.4276885Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.4277140Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.4277258Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.4277279Z 
2022-11-23T02:04:40.4277718Z [2022-11-23 02:04:30,739] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.4277858Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.4277994Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4278128Z               4 BUILD_MAP                0
2022-11-23T02:04:40.4278273Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.4278408Z               8 DICT_MERGE               1
2022-11-23T02:04:40.4278543Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.4278637Z              12 RETURN_VALUE
2022-11-23T02:04:40.4278657Z 
2022-11-23T02:04:40.4278756Z  
2022-11-23T02:04:40.4279192Z [2022-11-23 02:04:30,739] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.4279358Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_454)
2022-11-23T02:04:40.4279492Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4279629Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.4279752Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.4279863Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4279998Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.4280115Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.4280250Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.4280404Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.4280554Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.4280687Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.4280873Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.4280990Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.4281110Z              26 RETURN_VALUE
2022-11-23T02:04:40.4281129Z 
2022-11-23T02:04:40.4281228Z  
2022-11-23T02:04:40.4281499Z [2022-11-23 02:04:30,740] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.4281611Z  - 
2022-11-23T02:04:40.4281783Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.4281886Z             {
2022-11-23T02:04:40.4282062Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.4282323Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.4282554Z                 'obj_weakref': None
2022-11-23T02:04:40.4282870Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.4282972Z             }
2022-11-23T02:04:40.4283072Z             
2022-11-23T02:04:40.4283182Z  - 
2022-11-23T02:04:40.4283342Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.4283443Z             {
2022-11-23T02:04:40.4283647Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.4283806Z                 'code': None,
2022-11-23T02:04:40.4284104Z                 'obj_weakref': <weakref at 0x7fa53222ede0; to 'Tensor' at 0x7fa62380ed40>
2022-11-23T02:04:40.4284447Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.4284548Z             }
2022-11-23T02:04:40.4284625Z             
2022-11-23T02:04:40.4284736Z  - 
2022-11-23T02:04:40.4284918Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.4285023Z             {
2022-11-23T02:04:40.4285228Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.4285384Z                 'code': None,
2022-11-23T02:04:40.4285673Z                 'obj_weakref': <weakref at 0x7fa5322c74c0; to 'Tensor' at 0x7fa62380ecf0>
2022-11-23T02:04:40.4286001Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.4286106Z             }
2022-11-23T02:04:40.4286205Z             
2022-11-23T02:04:40.4286314Z  - 
2022-11-23T02:04:40.4286503Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.4286604Z             {
2022-11-23T02:04:40.4286802Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.4287016Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.4287193Z                 'obj_weakref': None
2022-11-23T02:04:40.4287510Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.4287612Z             }
2022-11-23T02:04:40.4287712Z             
2022-11-23T02:04:40.4287827Z  - 
2022-11-23T02:04:40.4288003Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.4288081Z             {
2022-11-23T02:04:40.4288283Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.4288584Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.4288755Z                 'obj_weakref': None
2022-11-23T02:04:40.4289057Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.4289163Z             }
2022-11-23T02:04:40.4289262Z             
2022-11-23T02:04:40.4289600Z [2022-11-23 02:04:30,749] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 446
2022-11-23T02:04:40.4290171Z [2022-11-23 02:04:33,381] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rz/crzc2iqstif6nhzgxgevscobcxw45d3zdh5tukxyu4kh4zuv6ipj.py
2022-11-23T02:04:40.4290548Z [2022-11-23 02:04:33,382] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 446
2022-11-23T02:04:40.4290569Z 
2022-11-23T02:04:40.4290710Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.4290819Z import torch
2022-11-23T02:04:40.4290929Z import random
2022-11-23T02:04:40.4291167Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.4291353Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.4291372Z 
2022-11-23T02:04:40.4291472Z aten = torch.ops.aten
2022-11-23T02:04:40.4291663Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.4291803Z async_compile = AsyncCompile()
2022-11-23T02:04:40.4291822Z 
2022-11-23T02:04:40.4291841Z 
2022-11-23T02:04:40.4292040Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.4292323Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.4292498Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.4292710Z                        const int* __restrict__ in_ptr1,
2022-11-23T02:04:40.4292859Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.4292934Z {
2022-11-23T02:04:40.4293083Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.4293188Z     {
2022-11-23T02:04:40.4293327Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.4293452Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.4293556Z         {
2022-11-23T02:04:40.4293693Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.4293772Z             {
2022-11-23T02:04:40.4293877Z                 {
2022-11-23T02:04:40.4293979Z                     {
2022-11-23T02:04:40.4294129Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T02:04:40.4294270Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.4294432Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T02:04:40.4294572Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T02:04:40.4294698Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T02:04:40.4294807Z                     }
2022-11-23T02:04:40.4294908Z                 }
2022-11-23T02:04:40.4295010Z             }
2022-11-23T02:04:40.4295113Z         }
2022-11-23T02:04:40.4295212Z     }
2022-11-23T02:04:40.4295288Z }
2022-11-23T02:04:40.4295421Z ''')
2022-11-23T02:04:40.4295441Z 
2022-11-23T02:04:40.4295459Z 
2022-11-23T02:04:40.4295598Z async_compile.wait(globals())
2022-11-23T02:04:40.4295706Z del async_compile
2022-11-23T02:04:40.4295725Z 
2022-11-23T02:04:40.4295836Z def call(args):
2022-11-23T02:04:40.4295955Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.4296483Z     args.clear()
2022-11-23T02:04:40.4296996Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4297349Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.4297526Z     del arg0_1
2022-11-23T02:04:40.4297711Z     del arg1_1
2022-11-23T02:04:40.4297887Z     return (buf0, )
2022-11-23T02:04:40.4297907Z 
2022-11-23T02:04:40.4297925Z 
2022-11-23T02:04:40.4298048Z if __name__ == "__main__":
2022-11-23T02:04:40.4298263Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.4298513Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.4298775Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4299040Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T02:04:40.4299206Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.4299225Z 
2022-11-23T02:04:40.4299335Z ok (2.664s)
2022-11-23T02:04:40.4299808Z   test_cpu_transposed_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 02:04:33,390] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.4300240Z [2022-11-23 02:04:33,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.4300548Z [2022-11-23 02:04:33,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.4300893Z [2022-11-23 02:04:33,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.4301428Z [2022-11-23 02:04:33,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.4301878Z [2022-11-23 02:04:33,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4302318Z [2022-11-23 02:04:33,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4302756Z [2022-11-23 02:04:33,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4303413Z [2022-11-23 02:04:33,392] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.4303561Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.4303704Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.4303819Z               4 BINARY_ADD
2022-11-23T02:04:40.4303954Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.4304072Z               8 RETURN_VALUE
2022-11-23T02:04:40.4304145Z  
2022-11-23T02:04:40.4304165Z 
2022-11-23T02:04:40.4304594Z [2022-11-23 02:04:33,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.4304886Z [2022-11-23 02:04:33,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.4305214Z [2022-11-23 02:04:33,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.4305596Z [2022-11-23 02:04:33,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.4305925Z [2022-11-23 02:04:33,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.4306263Z [2022-11-23 02:04:33,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.4306784Z [2022-11-23 02:04:33,394] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.4307120Z [2022-11-23 02:04:33,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.4307438Z [2022-11-23 02:04:33,394] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.4307763Z [2022-11-23 02:04:33,396] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.4308112Z [2022-11-23 02:04:33,403] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.4308379Z [2022-11-23 02:04:33,403] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.4308583Z  __compiled_fn_455 <eval_with_key>.3209 opcode, name, target, args, kwargs
2022-11-23T02:04:40.4308722Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.4308854Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.4309108Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.4309253Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.4309274Z 
2022-11-23T02:04:40.4309692Z [2022-11-23 02:04:33,404] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.4309841Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.4309982Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4310116Z               4 BUILD_MAP                0
2022-11-23T02:04:40.4310256Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.4310386Z               8 DICT_MERGE               1
2022-11-23T02:04:40.4310665Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.4310767Z              12 RETURN_VALUE
2022-11-23T02:04:40.4310810Z 
2022-11-23T02:04:40.4310884Z  
2022-11-23T02:04:40.4311326Z [2022-11-23 02:04:33,404] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.4311486Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_455)
2022-11-23T02:04:40.4311623Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4311757Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.4311879Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.4312078Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4312187Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.4312305Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.4312436Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.4312591Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.4312745Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.4312881Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.4312994Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.4313105Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.4313221Z              26 RETURN_VALUE
2022-11-23T02:04:40.4313241Z 
2022-11-23T02:04:40.4313337Z  
2022-11-23T02:04:40.4313604Z [2022-11-23 02:04:33,405] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.4313715Z  - 
2022-11-23T02:04:40.4313889Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.4313990Z             {
2022-11-23T02:04:40.4314173Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.4314441Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.4314616Z                 'obj_weakref': None
2022-11-23T02:04:40.4314924Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.4315031Z             }
2022-11-23T02:04:40.4315136Z             
2022-11-23T02:04:40.4315242Z  - 
2022-11-23T02:04:40.4315400Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.4315504Z             {
2022-11-23T02:04:40.4315707Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.4315869Z                 'code': None,
2022-11-23T02:04:40.4316164Z                 'obj_weakref': <weakref at 0x7fa51c274630; to 'Tensor' at 0x7fa62380ed90>
2022-11-23T02:04:40.4316505Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.4316608Z             }
2022-11-23T02:04:40.4316713Z             
2022-11-23T02:04:40.4316801Z  - 
2022-11-23T02:04:40.4316980Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.4317080Z             {
2022-11-23T02:04:40.4317284Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.4317442Z                 'code': None,
2022-11-23T02:04:40.4317737Z                 'obj_weakref': <weakref at 0x7fa5322bb1f0; to 'Tensor' at 0x7fa53222f420>
2022-11-23T02:04:40.4318090Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.4318168Z             }
2022-11-23T02:04:40.4318270Z             
2022-11-23T02:04:40.4318384Z  - 
2022-11-23T02:04:40.4318573Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.4318672Z             {
2022-11-23T02:04:40.4318864Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.4319079Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.4319249Z                 'obj_weakref': None
2022-11-23T02:04:40.4319572Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.4319674Z             }
2022-11-23T02:04:40.4319774Z             
2022-11-23T02:04:40.4319883Z  - 
2022-11-23T02:04:40.4320060Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.4320204Z             {
2022-11-23T02:04:40.4320409Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.4320710Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.4320881Z                 'obj_weakref': None
2022-11-23T02:04:40.4321189Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.4321295Z             }
2022-11-23T02:04:40.4321395Z             
2022-11-23T02:04:40.4321751Z [2022-11-23 02:04:33,416] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 447
2022-11-23T02:04:40.4322279Z [2022-11-23 02:04:36,019] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ho/cho3clyb57cgwlf6nm7lnf5f6qzh6grahniuvsev4hwd4sb546e3.py
2022-11-23T02:04:40.4322642Z [2022-11-23 02:04:36,019] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 447
2022-11-23T02:04:40.4322662Z 
2022-11-23T02:04:40.4322806Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.4322917Z import torch
2022-11-23T02:04:40.4323031Z import random
2022-11-23T02:04:40.4323201Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.4323377Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.4323397Z 
2022-11-23T02:04:40.4323518Z aten = torch.ops.aten
2022-11-23T02:04:40.4323690Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.4323831Z async_compile = AsyncCompile()
2022-11-23T02:04:40.4323851Z 
2022-11-23T02:04:40.4323870Z 
2022-11-23T02:04:40.4324076Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.4324363Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.4324543Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.4324696Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.4324847Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.4324946Z {
2022-11-23T02:04:40.4325068Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.4325172Z     {
2022-11-23T02:04:40.4325309Z         #pragma omp for  collapse(2)
2022-11-23T02:04:40.4325438Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T02:04:40.4325541Z         {
2022-11-23T02:04:40.4325673Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T02:04:40.4325749Z             {
2022-11-23T02:04:40.4325852Z                 {
2022-11-23T02:04:40.4325956Z                     {
2022-11-23T02:04:40.4326116Z                         auto tmp0 = in_ptr0[i0 + (10*i1)];
2022-11-23T02:04:40.4326272Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T02:04:40.4326421Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.4326563Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T02:04:40.4326645Z                     }
2022-11-23T02:04:40.4326750Z                 }
2022-11-23T02:04:40.4326853Z             }
2022-11-23T02:04:40.4326959Z         }
2022-11-23T02:04:40.4327056Z     }
2022-11-23T02:04:40.4327158Z }
2022-11-23T02:04:40.4327286Z ''')
2022-11-23T02:04:40.4327305Z 
2022-11-23T02:04:40.4327323Z 
2022-11-23T02:04:40.4327436Z async_compile.wait(globals())
2022-11-23T02:04:40.4327553Z del async_compile
2022-11-23T02:04:40.4327572Z 
2022-11-23T02:04:40.4327689Z def call(args):
2022-11-23T02:04:40.4327810Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.4327923Z     args.clear()
2022-11-23T02:04:40.4328202Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4328436Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.4328546Z     del arg0_1
2022-11-23T02:04:40.4328627Z     del arg1_1
2022-11-23T02:04:40.4328731Z     return (buf0, )
2022-11-23T02:04:40.4328752Z 
2022-11-23T02:04:40.4328771Z 
2022-11-23T02:04:40.4328889Z if __name__ == "__main__":
2022-11-23T02:04:40.4329123Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.4329304Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.4329584Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4329858Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4330002Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.4330042Z 
2022-11-23T02:04:40.4330126Z ok (2.637s)
2022-11-23T02:04:40.4330601Z   test_cpu_transposed_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 02:04:36,028] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T02:04:40.4331089Z [2022-11-23 02:04:36,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T02:04:40.4331386Z [2022-11-23 02:04:36,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T02:04:40.4331732Z [2022-11-23 02:04:36,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T02:04:40.4332110Z [2022-11-23 02:04:36,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T02:04:40.4332537Z [2022-11-23 02:04:36,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4333001Z [2022-11-23 02:04:36,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4333433Z [2022-11-23 02:04:36,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T02:04:40.4333952Z [2022-11-23 02:04:36,029] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T02:04:40.4334070Z  456           0 LOAD_FAST                0 (a)
2022-11-23T02:04:40.4334204Z               2 LOAD_FAST                1 (b)
2022-11-23T02:04:40.4334318Z               4 BINARY_ADD
2022-11-23T02:04:40.4334450Z               6 BUILD_TUPLE              1
2022-11-23T02:04:40.4334567Z               8 RETURN_VALUE
2022-11-23T02:04:40.4334663Z  
2022-11-23T02:04:40.4334683Z 
2022-11-23T02:04:40.4335104Z [2022-11-23 02:04:36,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T02:04:40.4335396Z [2022-11-23 02:04:36,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T02:04:40.4335702Z [2022-11-23 02:04:36,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T02:04:40.4336926Z [2022-11-23 02:04:36,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T02:04:40.4337579Z [2022-11-23 02:04:36,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T02:04:40.4338167Z [2022-11-23 02:04:36,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.4338701Z [2022-11-23 02:04:36,032] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7fa64119bcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T02:04:40.4339037Z [2022-11-23 02:04:36,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T02:04:40.4339353Z [2022-11-23 02:04:36,032] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T02:04:40.4339703Z [2022-11-23 02:04:36,033] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T02:04:40.4340039Z [2022-11-23 02:04:36,040] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T02:04:40.4340420Z [2022-11-23 02:04:36,040] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T02:04:40.4340622Z  __compiled_fn_456 <eval_with_key>.3215 opcode, name, target, args, kwargs
2022-11-23T02:04:40.4340750Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T02:04:40.4340879Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T02:04:40.4341127Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T02:04:40.4341266Z output, output, output, ((add,),), {}
2022-11-23T02:04:40.4341287Z 
2022-11-23T02:04:40.4341721Z [2022-11-23 02:04:36,041] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.4341928Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T02:04:40.4342041Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4342170Z               4 BUILD_MAP                0
2022-11-23T02:04:40.4342305Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T02:04:40.4342434Z               8 DICT_MERGE               1
2022-11-23T02:04:40.4342565Z              10 CALL_FUNCTION_EX         1
2022-11-23T02:04:40.4342676Z              12 RETURN_VALUE
2022-11-23T02:04:40.4342695Z 
2022-11-23T02:04:40.4342788Z  
2022-11-23T02:04:40.4343223Z [2022-11-23 02:04:36,041] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T02:04:40.4343362Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_456)
2022-11-23T02:04:40.4343497Z               2 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4343630Z               4 LOAD_CONST               1 (0)
2022-11-23T02:04:40.4343750Z               6 BINARY_SUBSCR
2022-11-23T02:04:40.4343879Z               8 LOAD_FAST                0 (ex)
2022-11-23T02:04:40.4344008Z              10 LOAD_CONST               2 (1)
2022-11-23T02:04:40.4344120Z              12 BINARY_SUBSCR
2022-11-23T02:04:40.4344234Z              14 CALL_FUNCTION            2
2022-11-23T02:04:40.4344383Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T02:04:40.4344532Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T02:04:40.4344664Z              20 LOAD_CONST               1 (0)
2022-11-23T02:04:40.4344775Z              22 BINARY_SUBSCR
2022-11-23T02:04:40.4344902Z              24 BUILD_TUPLE              1
2022-11-23T02:04:40.4345015Z              26 RETURN_VALUE
2022-11-23T02:04:40.4345034Z 
2022-11-23T02:04:40.4345107Z  
2022-11-23T02:04:40.4345364Z [2022-11-23 02:04:36,042] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T02:04:40.4345472Z  - 
2022-11-23T02:04:40.4345648Z             local 'ex' LIST_LENGTH
2022-11-23T02:04:40.4345747Z             {
2022-11-23T02:04:40.4345942Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T02:04:40.4346205Z                 'code': ['___check_type_id(ex, 93849050107520)', 'len(ex) == 2'],
2022-11-23T02:04:40.4346355Z                 'obj_weakref': None
2022-11-23T02:04:40.4346667Z                 'guarded_class': <weakref at 0x7fa6421f37e0; to 'type' at 0x555aef4b4e80 (tuple)>
2022-11-23T02:04:40.4346776Z             }
2022-11-23T02:04:40.4346878Z             
2022-11-23T02:04:40.4346990Z  - 
2022-11-23T02:04:40.4347171Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T02:04:40.4347271Z             {
2022-11-23T02:04:40.4347450Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.4347609Z                 'code': None,
2022-11-23T02:04:40.4347902Z                 'obj_weakref': <weakref at 0x7fa5322c4e00; to 'Tensor' at 0x7fa62380ede0>
2022-11-23T02:04:40.4348246Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.4348354Z             }
2022-11-23T02:04:40.4348454Z             
2022-11-23T02:04:40.4348563Z  - 
2022-11-23T02:04:40.4348720Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T02:04:40.4348816Z             {
2022-11-23T02:04:40.4349079Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T02:04:40.4349243Z                 'code': None,
2022-11-23T02:04:40.4349531Z                 'obj_weakref': <weakref at 0x7fa5322c4b30; to 'Tensor' at 0x7fa51c275f30>
2022-11-23T02:04:40.4349879Z                 'guarded_class': <weakref at 0x7fa55bbd54e0; to 'torch._C._TensorMeta' at 0x555af4c70190 (Tensor)>
2022-11-23T02:04:40.4349984Z             }
2022-11-23T02:04:40.4350061Z             
2022-11-23T02:04:40.4350172Z  - 
2022-11-23T02:04:40.4350362Z             local 'model' FUNCTION_MATCH
2022-11-23T02:04:40.4350463Z             {
2022-11-23T02:04:40.4350653Z                 'guard_types': ['ID_MATCH'],
2022-11-23T02:04:40.4350952Z                 'code': ['___check_obj_id(model, 140351675121872)'],
2022-11-23T02:04:40.4351128Z                 'obj_weakref': None
2022-11-23T02:04:40.4351417Z                 'guarded_class': <weakref at 0x7fa6421e03b0; to 'type' at 0x555aef4973c0 (function)>
2022-11-23T02:04:40.4351518Z             }
2022-11-23T02:04:40.4351620Z             
2022-11-23T02:04:40.4351736Z  - 
2022-11-23T02:04:40.4351914Z             local 'kwargs' DICT_KEYS
2022-11-23T02:04:40.4352017Z             {
2022-11-23T02:04:40.4352212Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T02:04:40.4352489Z                 'code': ['___check_type_id(kwargs, 93849050128096)', 'set(kwargs.keys()) == set()'],
2022-11-23T02:04:40.4352662Z                 'obj_weakref': None
2022-11-23T02:04:40.4352968Z                 'guarded_class': <weakref at 0x7fa6421d62f0; to 'type' at 0x555aef4b9ee0 (dict)>
2022-11-23T02:04:40.4353071Z             }
2022-11-23T02:04:40.4353173Z             
2022-11-23T02:04:40.4353537Z [2022-11-23 02:04:36,053] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 448
2022-11-23T02:04:40.4354030Z [2022-11-23 02:04:36,066] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uy/cuylpda3h3ce3adv4icti2ssumy6uuzt6t4576m4ialcacpr4wgl.py
2022-11-23T02:04:40.4354398Z [2022-11-23 02:04:36,067] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 448
2022-11-23T02:04:40.4354421Z 
2022-11-23T02:04:40.4354540Z from ctypes import c_void_p, c_long
2022-11-23T02:04:40.4354647Z import torch
2022-11-23T02:04:40.4354752Z import random
2022-11-23T02:04:40.4354919Z from torch import empty_strided, as_strided, device
2022-11-23T02:04:40.4355158Z from torch._inductor.codecache import AsyncCompile
2022-11-23T02:04:40.4355177Z 
2022-11-23T02:04:40.4355300Z aten = torch.ops.aten
2022-11-23T02:04:40.4355497Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T02:04:40.4355638Z async_compile = AsyncCompile()
2022-11-23T02:04:40.4355661Z 
2022-11-23T02:04:40.4355679Z 
2022-11-23T02:04:40.4355854Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T02:04:40.4356140Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T02:04:40.4356320Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T02:04:40.4356481Z                        const float* __restrict__ in_ptr1,
2022-11-23T02:04:40.4356628Z                        float* __restrict__ out_ptr0)
2022-11-23T02:04:40.4356728Z {
2022-11-23T02:04:40.4356872Z     #pragma omp parallel num_threads(8)
2022-11-23T02:04:40.4356948Z     {
2022-11-23T02:04:40.4357068Z         #pragma omp for 
2022-11-23T02:04:40.4357196Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T02:04:40.4357297Z         {
2022-11-23T02:04:40.4357523Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T02:04:40.4357715Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T02:04:40.4357846Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.4357984Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T02:04:40.4358062Z         }
2022-11-23T02:04:40.4358201Z         #pragma omp for simd simdlen(4) 
2022-11-23T02:04:40.4358329Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T02:04:40.4358428Z         {
2022-11-23T02:04:40.4358616Z             auto tmp0 = in_ptr0[i0];
2022-11-23T02:04:40.4358752Z             auto tmp1 = in_ptr1[i0];
2022-11-23T02:04:40.4358856Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T02:04:40.4358980Z             out_ptr0[i0] = tmp2;
2022-11-23T02:04:40.4359084Z         }
2022-11-23T02:04:40.4359181Z     }
2022-11-23T02:04:40.4359273Z }
2022-11-23T02:04:40.4359403Z ''')
2022-11-23T02:04:40.4359423Z 
2022-11-23T02:04:40.4359442Z 
2022-11-23T02:04:40.4359583Z async_compile.wait(globals())
2022-11-23T02:04:40.4359673Z del async_compile
2022-11-23T02:04:40.4359720Z 
2022-11-23T02:04:40.4359808Z def call(args):
2022-11-23T02:04:40.4359929Z     arg0_1, arg1_1 = args
2022-11-23T02:04:40.4360097Z     args.clear()
2022-11-23T02:04:40.4360388Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4360624Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T02:04:40.4360735Z     del arg0_1
2022-11-23T02:04:40.4360844Z     del arg1_1
2022-11-23T02:04:40.4360932Z     return (buf0, )
2022-11-23T02:04:40.4360951Z 
2022-11-23T02:04:40.4360970Z 
2022-11-23T02:04:40.4361088Z if __name__ == "__main__":
2022-11-23T02:04:40.4361252Z     from torch._dynamo.testing import rand_strided
2022-11-23T02:04:40.4361433Z     from torch._inductor.utils import print_performance
2022-11-23T02:04:40.4361713Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4361986Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T02:04:40.4362159Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T02:04:40.4362179Z 
2022-11-23T02:04:40.4362289Z ok (0.047s)
2022-11-23T02:04:40.4362476Z   test_indexing_join (__main__.TestIndexingSimplification) ... ok (0.114s)
2022-11-23T02:04:40.4362707Z   test_indexing_simplification (__main__.TestIndexingSimplification) ... ok (0.111s)
2022-11-23T02:04:40.4362728Z 
2022-11-23T02:04:40.4363012Z ----------------------------------------------------------------------
2022-11-23T02:04:40.4363137Z Ran 341 tests in 901.666s
2022-11-23T02:04:40.4363156Z 
2022-11-23T02:04:40.4363271Z OK (skipped=16)
2022-11-23T02:04:40.4363291Z 
2022-11-23T02:04:40.4363425Z Generating XML reports...
2022-11-23T02:04:40.4363847Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-CPUReproTests-20221123014934.xml
2022-11-23T02:04:40.4364233Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-CpuTests-20221123014934.xml
2022-11-23T02:04:40.4364663Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-SweepInputsCpuTest-20221123014934.xml
2022-11-23T02:04:40.4365106Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-TestIndexingSimplification-20221123014934.xml
2022-11-23T02:04:40.4365126Z 
2022-11-23T02:04:40.4365697Z ##[endgroup]
2022-11-23T02:04:40.4366148Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_cf7j23ej)
2022-11-23T02:04:40.4366168Z 
2022-11-23T02:04:41.6721223Z Ignoring disabled issues:  []
2022-11-23T02:04:41.7082684Z Running test_masked ... [2022-11-23 02:04:41.707527]
2022-11-23T02:04:41.7084058Z Executing ['/opt/conda/bin/python', '-bb', 'test_masked.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:04:41.707994]
2022-11-23T02:05:41.8305063Z 
2022-11-23T02:05:41.8305688Z Expand the folded group to see the log file of test_masked
2022-11-23T02:05:41.8310663Z ##[group]PRINTING LOG FILE of test_masked (/var/lib/jenkins/workspace/test/test-reports/test_masked_k4afssen)
2022-11-23T02:05:41.8310952Z 
2022-11-23T02:05:41.8311033Z Running tests...
2022-11-23T02:05:41.8311719Z ----------------------------------------------------------------------
2022-11-23T02:05:41.8314710Z Test results will be stored in test-reports/python-unittest/test_masked
2022-11-23T02:05:41.8315950Z   test_mask_layout_sparse_coo_masked_amax_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.773s)
2022-11-23T02:05:41.8316415Z   test_mask_layout_sparse_coo_masked_amax_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.776s)
2022-11-23T02:05:41.8316897Z   test_mask_layout_sparse_coo_masked_amax_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.768s)
2022-11-23T02:05:41.8317327Z   test_mask_layout_sparse_coo_masked_amax_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.754s)
2022-11-23T02:05:41.8317777Z   test_mask_layout_sparse_coo_masked_amax_cuda_int16 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8318263Z   test_mask_layout_sparse_coo_masked_amax_cuda_int32 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8318898Z   test_mask_layout_sparse_coo_masked_amax_cuda_int64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8319706Z   test_mask_layout_sparse_coo_masked_amax_cuda_int8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8320649Z   test_mask_layout_sparse_coo_masked_amax_cuda_uint8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8321555Z   test_mask_layout_sparse_coo_masked_amin_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.765s)
2022-11-23T02:05:41.8322019Z   test_mask_layout_sparse_coo_masked_amin_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.777s)
2022-11-23T02:05:41.8322443Z   test_mask_layout_sparse_coo_masked_amin_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.775s)
2022-11-23T02:05:41.8322878Z   test_mask_layout_sparse_coo_masked_amin_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.765s)
2022-11-23T02:05:41.8323344Z   test_mask_layout_sparse_coo_masked_amin_cuda_int16 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8323818Z   test_mask_layout_sparse_coo_masked_amin_cuda_int32 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8324276Z   test_mask_layout_sparse_coo_masked_amin_cuda_int64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8324746Z   test_mask_layout_sparse_coo_masked_amin_cuda_int8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8325237Z   test_mask_layout_sparse_coo_masked_amin_cuda_uint8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8326414Z   test_mask_layout_sparse_coo_masked_mean_cuda_bfloat16 (__main__.TestMaskedCUDA) ... skip: masked.mean does not support inputs with sparse_coo layout (0.002s)
2022-11-23T02:05:41.8327585Z   test_mask_layout_sparse_coo_masked_mean_cuda_bool (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8328661Z   test_mask_layout_sparse_coo_masked_mean_cuda_complex128 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8329405Z   test_mask_layout_sparse_coo_masked_mean_cuda_complex64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8329971Z   test_mask_layout_sparse_coo_masked_mean_cuda_float16 (__main__.TestMaskedCUDA) ... skip: masked.mean does not support inputs with sparse_coo layout (0.002s)
2022-11-23T02:05:41.8331055Z   test_mask_layout_sparse_coo_masked_mean_cuda_float32 (__main__.TestMaskedCUDA) ... skip: masked.mean does not support inputs with sparse_coo layout (0.002s)
2022-11-23T02:05:41.8332154Z   test_mask_layout_sparse_coo_masked_mean_cuda_float64 (__main__.TestMaskedCUDA) ... skip: masked.mean does not support inputs with sparse_coo layout (0.002s)
2022-11-23T02:05:41.8333175Z   test_mask_layout_sparse_coo_masked_mean_cuda_int16 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8334203Z   test_mask_layout_sparse_coo_masked_mean_cuda_int32 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8334950Z   test_mask_layout_sparse_coo_masked_mean_cuda_int64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8335426Z   test_mask_layout_sparse_coo_masked_mean_cuda_int8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8336438Z   test_mask_layout_sparse_coo_masked_mean_cuda_uint8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8336998Z   test_mask_layout_sparse_coo_masked_prod_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (4.733s)
2022-11-23T02:05:41.8337398Z   test_mask_layout_sparse_coo_masked_prod_cuda_bool (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8337884Z   test_mask_layout_sparse_coo_masked_prod_cuda_complex128 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8338385Z   test_mask_layout_sparse_coo_masked_prod_cuda_complex64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8338852Z   test_mask_layout_sparse_coo_masked_prod_cuda_float16 (__main__.TestMaskedCUDA) ... ok (4.660s)
2022-11-23T02:05:41.8339502Z   test_mask_layout_sparse_coo_masked_prod_cuda_float32 (__main__.TestMaskedCUDA) ... ok (4.368s)
2022-11-23T02:05:41.8339891Z   test_mask_layout_sparse_coo_masked_prod_cuda_float64 (__main__.TestMaskedCUDA) ... ok (4.387s)
2022-11-23T02:05:41.8340368Z   test_mask_layout_sparse_coo_masked_prod_cuda_int16 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8340849Z   test_mask_layout_sparse_coo_masked_prod_cuda_int32 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8341305Z   test_mask_layout_sparse_coo_masked_prod_cuda_int64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8341806Z   test_mask_layout_sparse_coo_masked_prod_cuda_int8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8342252Z   test_mask_layout_sparse_coo_masked_prod_cuda_uint8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8342696Z   test_mask_layout_sparse_coo_masked_sum_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.817s)
2022-11-23T02:05:41.8343149Z   test_mask_layout_sparse_coo_masked_sum_cuda_bool (__main__.TestMaskedCUDA) ... ok (0.623s)
2022-11-23T02:05:41.8343598Z   test_mask_layout_sparse_coo_masked_sum_cuda_complex128 (__main__.TestMaskedCUDA) ... ok (0.833s)
2022-11-23T02:05:41.8344058Z   test_mask_layout_sparse_coo_masked_sum_cuda_complex64 (__main__.TestMaskedCUDA) ... ok (0.617s)
2022-11-23T02:05:41.8344491Z   test_mask_layout_sparse_coo_masked_sum_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.813s)
2022-11-23T02:05:41.8344931Z   test_mask_layout_sparse_coo_masked_sum_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.807s)
2022-11-23T02:05:41.8345365Z   test_mask_layout_sparse_coo_masked_sum_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.804s)
2022-11-23T02:05:41.8345805Z   test_mask_layout_sparse_coo_masked_sum_cuda_int16 (__main__.TestMaskedCUDA) ... ok (0.584s)
2022-11-23T02:05:41.8346277Z   test_mask_layout_sparse_coo_masked_sum_cuda_int32 (__main__.TestMaskedCUDA) ... ok (0.582s)
2022-11-23T02:05:41.8346717Z   test_mask_layout_sparse_coo_masked_sum_cuda_int64 (__main__.TestMaskedCUDA) ... ok (0.571s)
2022-11-23T02:05:41.8347147Z   test_mask_layout_sparse_coo_masked_sum_cuda_int8 (__main__.TestMaskedCUDA) ... ok (0.580s)
2022-11-23T02:05:41.8347565Z   test_mask_layout_sparse_coo_masked_sum_cuda_uint8 (__main__.TestMaskedCUDA) ... ok (0.604s)
2022-11-23T02:05:41.8348010Z   test_mask_layout_sparse_csr_masked_amax_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.169s)
2022-11-23T02:05:41.8348575Z   test_mask_layout_sparse_csr_masked_amax_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.170s)
2022-11-23T02:05:41.8349057Z   test_mask_layout_sparse_csr_masked_amax_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.170s)
2022-11-23T02:05:41.8349450Z   test_mask_layout_sparse_csr_masked_amax_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.167s)
2022-11-23T02:05:41.8349914Z   test_mask_layout_sparse_csr_masked_amax_cuda_int16 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8350384Z   test_mask_layout_sparse_csr_masked_amax_cuda_int32 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8350856Z   test_mask_layout_sparse_csr_masked_amax_cuda_int64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8351448Z   test_mask_layout_sparse_csr_masked_amax_cuda_int8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8351908Z   test_mask_layout_sparse_csr_masked_amax_cuda_uint8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8352355Z   test_mask_layout_sparse_csr_masked_amin_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.169s)
2022-11-23T02:05:41.8352807Z   test_mask_layout_sparse_csr_masked_amin_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.168s)
2022-11-23T02:05:41.8353249Z   test_mask_layout_sparse_csr_masked_amin_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.169s)
2022-11-23T02:05:41.8353696Z   test_mask_layout_sparse_csr_masked_amin_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.167s)
2022-11-23T02:05:41.8354205Z   test_mask_layout_sparse_csr_masked_amin_cuda_int16 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8354676Z   test_mask_layout_sparse_csr_masked_amin_cuda_int32 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8355152Z   test_mask_layout_sparse_csr_masked_amin_cuda_int64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8355599Z   test_mask_layout_sparse_csr_masked_amin_cuda_int8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8356072Z   test_mask_layout_sparse_csr_masked_amin_cuda_uint8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8356532Z   test_mask_layout_sparse_csr_masked_mean_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.123s)
2022-11-23T02:05:41.8356995Z   test_mask_layout_sparse_csr_masked_mean_cuda_bool (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8357512Z   test_mask_layout_sparse_csr_masked_mean_cuda_complex128 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8357956Z   test_mask_layout_sparse_csr_masked_mean_cuda_complex64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8358433Z   test_mask_layout_sparse_csr_masked_mean_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.124s)
2022-11-23T02:05:41.8358881Z   test_mask_layout_sparse_csr_masked_mean_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.124s)
2022-11-23T02:05:41.8359301Z   test_mask_layout_sparse_csr_masked_mean_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.123s)
2022-11-23T02:05:41.8359772Z   test_mask_layout_sparse_csr_masked_mean_cuda_int16 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8360241Z   test_mask_layout_sparse_csr_masked_mean_cuda_int32 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8360690Z   test_mask_layout_sparse_csr_masked_mean_cuda_int64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8361175Z   test_mask_layout_sparse_csr_masked_mean_cuda_int8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8361649Z   test_mask_layout_sparse_csr_masked_mean_cuda_uint8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8362161Z   test_mask_layout_sparse_csr_masked_prod_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.158s)
2022-11-23T02:05:41.8362563Z   test_mask_layout_sparse_csr_masked_prod_cuda_bool (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8363051Z   test_mask_layout_sparse_csr_masked_prod_cuda_complex128 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8363555Z   test_mask_layout_sparse_csr_masked_prod_cuda_complex64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8364022Z   test_mask_layout_sparse_csr_masked_prod_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.159s)
2022-11-23T02:05:41.8364452Z   test_mask_layout_sparse_csr_masked_prod_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.159s)
2022-11-23T02:05:41.8364894Z   test_mask_layout_sparse_csr_masked_prod_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.157s)
2022-11-23T02:05:41.8365363Z   test_mask_layout_sparse_csr_masked_prod_cuda_int16 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8365907Z   test_mask_layout_sparse_csr_masked_prod_cuda_int32 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8366396Z   test_mask_layout_sparse_csr_masked_prod_cuda_int64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8366872Z   test_mask_layout_sparse_csr_masked_prod_cuda_int8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8367352Z   test_mask_layout_sparse_csr_masked_prod_cuda_uint8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8367796Z   test_mask_layout_sparse_csr_masked_sum_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.163s)
2022-11-23T02:05:41.8368241Z   test_mask_layout_sparse_csr_masked_sum_cuda_bool (__main__.TestMaskedCUDA) ... ok (0.051s)
2022-11-23T02:05:41.8368770Z   test_mask_layout_sparse_csr_masked_sum_cuda_complex128 (__main__.TestMaskedCUDA) ... ok (0.050s)
2022-11-23T02:05:41.8369234Z   test_mask_layout_sparse_csr_masked_sum_cuda_complex64 (__main__.TestMaskedCUDA) ... ok (0.050s)
2022-11-23T02:05:41.8369673Z   test_mask_layout_sparse_csr_masked_sum_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.163s)
2022-11-23T02:05:41.8370133Z   test_mask_layout_sparse_csr_masked_sum_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.162s)
2022-11-23T02:05:41.8370580Z   test_mask_layout_sparse_csr_masked_sum_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.162s)
2022-11-23T02:05:41.8371003Z   test_mask_layout_sparse_csr_masked_sum_cuda_int16 (__main__.TestMaskedCUDA) ... ok (0.052s)
2022-11-23T02:05:41.8371439Z   test_mask_layout_sparse_csr_masked_sum_cuda_int32 (__main__.TestMaskedCUDA) ... ok (0.051s)
2022-11-23T02:05:41.8371881Z   test_mask_layout_sparse_csr_masked_sum_cuda_int64 (__main__.TestMaskedCUDA) ... ok (0.050s)
2022-11-23T02:05:41.8372366Z   test_mask_layout_sparse_csr_masked_sum_cuda_int8 (__main__.TestMaskedCUDA) ... ok (0.052s)
2022-11-23T02:05:41.8372748Z   test_mask_layout_sparse_csr_masked_sum_cuda_uint8 (__main__.TestMaskedCUDA) ... ok (0.048s)
2022-11-23T02:05:41.8373191Z   test_mask_layout_strided_masked_amax_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.301s)
2022-11-23T02:05:41.8373647Z   test_mask_layout_strided_masked_amax_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.297s)
2022-11-23T02:05:41.8374090Z   test_mask_layout_strided_masked_amax_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.297s)
2022-11-23T02:05:41.8374513Z   test_mask_layout_strided_masked_amax_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.290s)
2022-11-23T02:05:41.8374970Z   test_mask_layout_strided_masked_amax_cuda_int16 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8375445Z   test_mask_layout_strided_masked_amax_cuda_int32 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8375902Z   test_mask_layout_strided_masked_amax_cuda_int64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8376688Z   test_mask_layout_strided_masked_amax_cuda_int8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8377204Z   test_mask_layout_strided_masked_amax_cuda_uint8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8377659Z   test_mask_layout_strided_masked_amin_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.295s)
2022-11-23T02:05:41.8378080Z   test_mask_layout_strided_masked_amin_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.297s)
2022-11-23T02:05:41.8378519Z   test_mask_layout_strided_masked_amin_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.297s)
2022-11-23T02:05:41.8378960Z   test_mask_layout_strided_masked_amin_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.289s)
2022-11-23T02:05:41.8379412Z   test_mask_layout_strided_masked_amin_cuda_int16 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8379868Z   test_mask_layout_strided_masked_amin_cuda_int32 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8380330Z   test_mask_layout_strided_masked_amin_cuda_int64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8380954Z   test_mask_layout_strided_masked_amin_cuda_int8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8381414Z   test_mask_layout_strided_masked_amin_cuda_uint8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8381866Z   test_mask_layout_strided_masked_mean_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.197s)
2022-11-23T02:05:41.8382319Z   test_mask_layout_strided_masked_mean_cuda_bool (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8382793Z   test_mask_layout_strided_masked_mean_cuda_complex128 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8383259Z   test_mask_layout_strided_masked_mean_cuda_complex64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8383798Z   test_mask_layout_strided_masked_mean_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.196s)
2022-11-23T02:05:41.8384234Z   test_mask_layout_strided_masked_mean_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.199s)
2022-11-23T02:05:41.8384671Z   test_mask_layout_strided_masked_mean_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.194s)
2022-11-23T02:05:41.8385108Z   test_mask_layout_strided_masked_mean_cuda_int16 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8385575Z   test_mask_layout_strided_masked_mean_cuda_int32 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8386037Z   test_mask_layout_strided_masked_mean_cuda_int64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8386487Z   test_mask_layout_strided_masked_mean_cuda_int8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8386957Z   test_mask_layout_strided_masked_mean_cuda_uint8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8387419Z   test_mask_layout_strided_masked_prod_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.301s)
2022-11-23T02:05:41.8387876Z   test_mask_layout_strided_masked_prod_cuda_bool (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8388352Z   test_mask_layout_strided_masked_prod_cuda_complex128 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8388840Z   test_mask_layout_strided_masked_prod_cuda_complex64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8389299Z   test_mask_layout_strided_masked_prod_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.301s)
2022-11-23T02:05:41.8389740Z   test_mask_layout_strided_masked_prod_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.302s)
2022-11-23T02:05:41.8390156Z   test_mask_layout_strided_masked_prod_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.294s)
2022-11-23T02:05:41.8390613Z   test_mask_layout_strided_masked_prod_cuda_int16 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8391088Z   test_mask_layout_strided_masked_prod_cuda_int32 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8391546Z   test_mask_layout_strided_masked_prod_cuda_int64 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8392015Z   test_mask_layout_strided_masked_prod_cuda_int8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8392481Z   test_mask_layout_strided_masked_prod_cuda_uint8 (__main__.TestMaskedCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:05:41.8392929Z   test_mask_layout_strided_masked_sum_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.297s)
2022-11-23T02:05:41.8393347Z   test_mask_layout_strided_masked_sum_cuda_bool (__main__.TestMaskedCUDA) ... ok (0.199s)
2022-11-23T02:05:41.8393791Z   test_mask_layout_strided_masked_sum_cuda_complex128 (__main__.TestMaskedCUDA) ... ok (0.234s)
2022-11-23T02:05:41.8394249Z   test_mask_layout_strided_masked_sum_cuda_complex64 (__main__.TestMaskedCUDA) ... ok (0.240s)
2022-11-23T02:05:41.8394699Z   test_mask_layout_strided_masked_sum_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.293s)
2022-11-23T02:05:41.8395122Z   test_mask_layout_strided_masked_sum_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.295s)
2022-11-23T02:05:41.8395698Z   test_mask_layout_strided_masked_sum_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.288s)
2022-11-23T02:05:41.8396145Z   test_mask_layout_strided_masked_sum_cuda_int16 (__main__.TestMaskedCUDA) ... ok (0.201s)
2022-11-23T02:05:41.8396558Z   test_mask_layout_strided_masked_sum_cuda_int32 (__main__.TestMaskedCUDA) ... ok (0.198s)
2022-11-23T02:05:41.8396989Z   test_mask_layout_strided_masked_sum_cuda_int64 (__main__.TestMaskedCUDA) ... ok (0.192s)
2022-11-23T02:05:41.8397418Z   test_mask_layout_strided_masked_sum_cuda_int8 (__main__.TestMaskedCUDA) ... ok (0.198s)
2022-11-23T02:05:41.8397851Z   test_mask_layout_strided_masked_sum_cuda_uint8 (__main__.TestMaskedCUDA) ... ok (0.199s)
2022-11-23T02:05:41.8398353Z   test_reference_masked_masked_log_softmax_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.084s)
2022-11-23T02:05:41.8398830Z   test_reference_masked_masked_log_softmax_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.085s)
2022-11-23T02:05:41.8399290Z   test_reference_masked_masked_log_softmax_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.084s)
2022-11-23T02:05:41.8399745Z   test_reference_masked_masked_log_softmax_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.082s)
2022-11-23T02:05:41.8400180Z   test_reference_masked_masked_norm_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.740s)
2022-11-23T02:05:41.8400624Z   test_reference_masked_masked_norm_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.739s)
2022-11-23T02:05:41.8401070Z   test_reference_masked_masked_norm_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.733s)
2022-11-23T02:05:41.8401480Z   test_reference_masked_masked_norm_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.717s)
2022-11-23T02:05:41.8401939Z   test_reference_masked_masked_normalize_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.122s)
2022-11-23T02:05:41.8402408Z   test_reference_masked_masked_normalize_cuda_complex128 (__main__.TestMaskedCUDA) ... ok (0.123s)
2022-11-23T02:05:41.8402875Z   test_reference_masked_masked_normalize_cuda_complex64 (__main__.TestMaskedCUDA) ... ok (0.125s)
2022-11-23T02:05:41.8403322Z   test_reference_masked_masked_normalize_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.122s)
2022-11-23T02:05:41.8403768Z   test_reference_masked_masked_normalize_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.124s)
2022-11-23T02:05:41.8404215Z   test_reference_masked_masked_normalize_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.119s)
2022-11-23T02:05:41.8404644Z   test_reference_masked_masked_softmax_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.085s)
2022-11-23T02:05:41.8405090Z   test_reference_masked_masked_softmax_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.083s)
2022-11-23T02:05:41.8405534Z   test_reference_masked_masked_softmax_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.084s)
2022-11-23T02:05:41.8405985Z   test_reference_masked_masked_softmax_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.083s)
2022-11-23T02:05:41.8406414Z   test_reference_masked_masked_softmin_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.091s)
2022-11-23T02:05:41.8406867Z   test_reference_masked_masked_softmin_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.090s)
2022-11-23T02:05:41.8407312Z   test_reference_masked_masked_softmin_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.090s)
2022-11-23T02:05:41.8407750Z   test_reference_masked_masked_softmin_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.089s)
2022-11-23T02:05:41.8408172Z   test_reference_masked_masked_std_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.408s)
2022-11-23T02:05:41.8408620Z   test_reference_masked_masked_std_cuda_complex128 (__main__.TestMaskedCUDA) ... ok (0.970s)
2022-11-23T02:05:41.8409068Z   test_reference_masked_masked_std_cuda_complex64 (__main__.TestMaskedCUDA) ... ok (1.001s)
2022-11-23T02:05:41.8409496Z   test_reference_masked_masked_std_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.407s)
2022-11-23T02:05:41.8409931Z   test_reference_masked_masked_std_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.404s)
2022-11-23T02:05:41.8410439Z   test_reference_masked_masked_std_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.391s)
2022-11-23T02:05:41.8410883Z   test_reference_masked_masked_std_cuda_int16 (__main__.TestMaskedCUDA) ... ok (0.011s)
2022-11-23T02:05:41.8411295Z   test_reference_masked_masked_std_cuda_int32 (__main__.TestMaskedCUDA) ... ok (0.010s)
2022-11-23T02:05:41.8411716Z   test_reference_masked_masked_std_cuda_int64 (__main__.TestMaskedCUDA) ... ok (0.010s)
2022-11-23T02:05:41.8412142Z   test_reference_masked_masked_std_cuda_int8 (__main__.TestMaskedCUDA) ... ok (0.010s)
2022-11-23T02:05:41.8412549Z   test_reference_masked_masked_std_cuda_uint8 (__main__.TestMaskedCUDA) ... ok (0.010s)
2022-11-23T02:05:41.8413053Z   test_reference_masked_masked_var_cuda_bfloat16 (__main__.TestMaskedCUDA) ... ok (0.390s)
2022-11-23T02:05:41.8413499Z   test_reference_masked_masked_var_cuda_complex128 (__main__.TestMaskedCUDA) ... ok (0.353s)
2022-11-23T02:05:41.8413940Z   test_reference_masked_masked_var_cuda_complex64 (__main__.TestMaskedCUDA) ... ok (0.358s)
2022-11-23T02:05:41.8414368Z   test_reference_masked_masked_var_cuda_float16 (__main__.TestMaskedCUDA) ... ok (0.404s)
2022-11-23T02:05:41.8414802Z   test_reference_masked_masked_var_cuda_float32 (__main__.TestMaskedCUDA) ... ok (0.404s)
2022-11-23T02:05:41.8415227Z   test_reference_masked_masked_var_cuda_float64 (__main__.TestMaskedCUDA) ... ok (0.394s)
2022-11-23T02:05:41.8415654Z   test_reference_masked_masked_var_cuda_int16 (__main__.TestMaskedCUDA) ... ok (0.011s)
2022-11-23T02:05:41.8416472Z   test_reference_masked_masked_var_cuda_int32 (__main__.TestMaskedCUDA) ... ok (0.011s)
2022-11-23T02:05:41.8416908Z   test_reference_masked_masked_var_cuda_int64 (__main__.TestMaskedCUDA) ... ok (0.010s)
2022-11-23T02:05:41.8417330Z   test_reference_masked_masked_var_cuda_int8 (__main__.TestMaskedCUDA) ... ok (0.010s)
2022-11-23T02:05:41.8417737Z   test_reference_masked_masked_var_cuda_uint8 (__main__.TestMaskedCUDA) ... ok (0.010s)
2022-11-23T02:05:41.8418148Z   test_where_coo_fill_value_0_cuda (__main__.TestMaskedCUDA) ... ok (0.023s)
2022-11-23T02:05:41.8418550Z   test_where_coo_fill_value_123_cuda (__main__.TestMaskedCUDA) ... ok (0.004s)
2022-11-23T02:05:41.8418947Z   test_where_csr_fill_value_0_cuda (__main__.TestMaskedCUDA) ... ok (0.005s)
2022-11-23T02:05:41.8419378Z   test_where_csr_fill_value_123_cuda (__main__.TestMaskedCUDA) ... ok (0.004s)
2022-11-23T02:05:41.8419731Z   test_where_hybrid_coo_fill_value_0_cuda (__main__.TestMaskedCUDA) ... ok (0.004s)
2022-11-23T02:05:41.8420147Z   test_where_hybrid_coo_fill_value_123_cuda (__main__.TestMaskedCUDA) ... ok (0.005s)
2022-11-23T02:05:41.8420394Z 
2022-11-23T02:05:41.8420807Z ----------------------------------------------------------------------
2022-11-23T02:05:41.8421149Z Ran 212 tests in 54.093s
2022-11-23T02:05:41.8421316Z 
2022-11-23T02:05:41.8421427Z OK (skipped=82)
2022-11-23T02:05:41.8421581Z 
2022-11-23T02:05:41.8421706Z Generating XML reports...
2022-11-23T02:05:41.8422257Z Generated XML report: test-reports/python-unittest/test_masked/TEST-TestMaskedCUDA-20221123020446.xml
2022-11-23T02:05:41.8422564Z 
2022-11-23T02:05:41.8423343Z ##[endgroup]
2022-11-23T02:05:41.8423906Z FINISHED PRINTING LOG FILE of test_masked (/var/lib/jenkins/workspace/test/test-reports/test_masked_k4afssen)
2022-11-23T02:05:41.8424195Z 
2022-11-23T02:05:45.1454214Z Ignoring disabled issues:  []
2022-11-23T02:05:45.1824715Z Running test_utils ... [2022-11-23 02:05:45.181731]
2022-11-23T02:05:45.1825816Z Executing ['/opt/conda/bin/python', '-bb', 'test_utils.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:05:45.182187]
2022-11-23T02:05:53.7095855Z 
2022-11-23T02:05:53.7097513Z Expand the folded group to see the log file of test_utils
2022-11-23T02:05:53.7099036Z ##[group]PRINTING LOG FILE of test_utils (/var/lib/jenkins/workspace/test/test-reports/test_utils_14b6mpyd)
2022-11-23T02:05:53.7099401Z 
2022-11-23T02:05:53.7099515Z Running tests...
2022-11-23T02:05:53.7100489Z ----------------------------------------------------------------------
2022-11-23T02:05:53.7101909Z Test results will be stored in test-reports/python-unittest/test_utils
2022-11-23T02:05:53.7102804Z   test_assert_scriptable (__main__.TestAssert) ... ok (2.002s)
2022-11-23T02:05:53.7103429Z   test_assert_true (__main__.TestAssert) ... ok (0.001s)
2022-11-23T02:05:53.7104085Z   test_bottleneck_cpu_only (__main__.TestBottleneck) ... skip: CPU-only test (0.001s)
2022-11-23T02:05:53.7105102Z   test_bottleneck_cuda (__main__.TestBottleneck) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/85284 for platform(s) linux, win, windows. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T02:05:53.7106019Z   test_checkpoint (__main__.TestCheckpoint) ... ok (0.018s)
2022-11-23T02:05:53.7106380Z   test_checkpoint_module_list (__main__.TestCheckpoint) ... ok (0.016s)
2022-11-23T02:05:53.7107154Z   test_checkpoint_no_tensors (__main__.TestCheckpoint) ... /opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
2022-11-23T02:05:53.7107746Z   warnings.warn("None of the inputs have requires_grad=True. Gradients will be None")
2022-11-23T02:05:53.7108082Z ok (0.003s)
2022-11-23T02:05:53.7108376Z   test_checkpoint_non_tensor (__main__.TestCheckpoint) ... ok (0.002s)
2022-11-23T02:05:53.7108786Z   test_checkpoint_non_tensor_inputs_outputs (__main__.TestCheckpoint) ... ok (0.007s)
2022-11-23T02:05:53.7109248Z   test_checkpoint_not_preserve_rng_state_and_without_reentrant (__main__.TestCheckpoint) ... ok (0.002s)
2022-11-23T02:05:53.7109675Z   test_checkpoint_partial_grad (__main__.TestCheckpoint) ... ok (0.003s)
2022-11-23T02:05:53.7110070Z   test_checkpoint_rng_cpu (__main__.TestCheckpoint) ... ok (0.014s)
2022-11-23T02:05:53.7110520Z   test_checkpoint_rng_cuda (__main__.TestCheckpoint) ... ok (0.012s)
2022-11-23T02:05:53.7110956Z   test_checkpoint_sequential_deprecated_multiple_args (__main__.TestCheckpoint) ... ok (0.002s)
2022-11-23T02:05:53.7111441Z   test_checkpoint_sequential_deprecated_no_args (__main__.TestCheckpoint) ... ok (0.001s)
2022-11-23T02:05:53.7111859Z   test_checkpoint_trigger (__main__.TestCheckpoint) ... ok (0.007s)
2022-11-23T02:05:53.7112235Z   test_checkpoint_valid (__main__.TestCheckpoint) ... ok (0.005s)
2022-11-23T02:05:53.7112653Z   test_checkpointing_without_reentrant_early_free (__main__.TestCheckpoint) ... ok (0.011s)
2022-11-23T02:05:53.7113727Z   test_smoke (__main__.TestCollectEnv) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77345 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T02:05:53.7114482Z   test_cc_compiler_is_ok (__main__.TestCppExtensionUtils) ... ok (0.040s)
2022-11-23T02:05:53.7114900Z   test_cpp_compiler_is_ok (__main__.TestCppExtensionUtils) ... ok (0.022s)
2022-11-23T02:05:53.7115966Z   test_multi_drop (__main__.TestDataLoaderUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82865 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T02:05:53.7116961Z   test_multi_keep (__main__.TestDataLoaderUtils) ... skip: FIXME: Intermittent CUDA out-of-memory error on Windows and time-out under ASAN (0.000s)
2022-11-23T02:05:53.7118178Z   test_random_seed (__main__.TestDataLoaderUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70516 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T02:05:53.7118941Z   test_single_drop (__main__.TestDataLoaderUtils) ... ok (0.002s)
2022-11-23T02:05:53.7119327Z   test_single_keep (__main__.TestDataLoaderUtils) ... ok (0.001s)
2022-11-23T02:05:53.7119725Z   test_external_module_register (__main__.TestExtensionUtils) ... ok (0.003s)
2022-11-23T02:05:53.7120093Z   test_import_hipify (__main__.TestHipify) ... ok (0.001s)
2022-11-23T02:05:53.7120466Z   test_check_onnx_broadcast (__main__.TestONNXUtils) ... ok (0.002s)
2022-11-23T02:05:53.7120850Z   test_prepare_onnx_paddings (__main__.TestONNXUtils) ... ok (0.001s)
2022-11-23T02:05:53.7121236Z   test_load_standalone (__main__.TestStandaloneCPPJIT) ... ok (2.902s)
2022-11-23T02:05:53.7121543Z 
2022-11-23T02:05:53.7121819Z ----------------------------------------------------------------------
2022-11-23T02:05:53.7122147Z Ran 31 tests in 5.090s
2022-11-23T02:05:53.7122308Z 
2022-11-23T02:05:53.7122416Z OK (skipped=6)
2022-11-23T02:05:53.7122557Z 
2022-11-23T02:05:53.7122685Z Generating XML reports...
2022-11-23T02:05:53.7123200Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestAssert-20221123020547.xml
2022-11-23T02:05:53.7123836Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCheckpoint-20221123020547.xml
2022-11-23T02:05:53.7124492Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCppExtensionUtils-20221123020547.xml
2022-11-23T02:05:53.7125173Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestDataLoaderUtils-20221123020547.xml
2022-11-23T02:05:53.7125845Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestExtensionUtils-20221123020547.xml
2022-11-23T02:05:53.7126480Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestHipify-20221123020547.xml
2022-11-23T02:05:53.7127087Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestONNXUtils-20221123020547.xml
2022-11-23T02:05:53.7127758Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestStandaloneCPPJIT-20221123020547.xml
2022-11-23T02:05:53.7128416Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestBottleneck-20221123020547.xml
2022-11-23T02:05:53.7129046Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCollectEnv-20221123020547.xml
2022-11-23T02:05:53.7129327Z 
2022-11-23T02:05:53.7129836Z ##[endgroup]
2022-11-23T02:05:53.7130325Z FINISHED PRINTING LOG FILE of test_utils (/var/lib/jenkins/workspace/test/test-reports/test_utils_14b6mpyd)
2022-11-23T02:05:53.7130604Z 
2022-11-23T02:05:57.0079997Z Ignoring disabled issues:  []
2022-11-23T02:05:57.0449643Z Running test_view_ops ... [2022-11-23 02:05:57.044225]
2022-11-23T02:05:57.0451238Z Executing ['/opt/conda/bin/python', '-bb', 'test_view_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:05:57.044691]
2022-11-23T02:06:29.1454969Z 
2022-11-23T02:06:29.1456011Z Expand the folded group to see the log file of test_view_ops
2022-11-23T02:06:29.1457340Z ##[group]PRINTING LOG FILE of test_view_ops (/var/lib/jenkins/workspace/test/test-reports/test_view_ops_bh7l5xxi)
2022-11-23T02:06:29.1459437Z 
2022-11-23T02:06:29.1461523Z Running tests...
2022-11-23T02:06:29.1462286Z ----------------------------------------------------------------------
2022-11-23T02:06:29.1462784Z Test results will be stored in test-reports/python-unittest/test_view_ops
2022-11-23T02:06:29.1464121Z   test_T_cuda (__main__.TestOldViewOpsCUDA) ... /var/lib/jenkins/workspace/test/test_view_ops.py:1305: UserWarning: The use of `x.T` on tensors of dimension other than 2 to reverse their shape is deprecated and it will throw an error in a future release. Consider `x.mT` to transpose batches of matrices or `x.permute(*torch.arange(x.ndim - 1, -1, -1))` to reverse the dimensions of a tensor. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorShape.cpp:3523.)
2022-11-23T02:06:29.1465109Z   t1 = a.T
2022-11-23T02:06:29.1465255Z ok (0.007s)
2022-11-23T02:06:29.1465899Z   test_atleast_cuda_complex128 (__main__.TestOldViewOpsCUDA) ... ok (0.593s)
2022-11-23T02:06:29.1466396Z   test_atleast_cuda_complex64 (__main__.TestOldViewOpsCUDA) ... ok (0.601s)
2022-11-23T02:06:29.1466852Z   test_atleast_cuda_float16 (__main__.TestOldViewOpsCUDA) ... ok (0.518s)
2022-11-23T02:06:29.1467227Z   test_atleast_cuda_float32 (__main__.TestOldViewOpsCUDA) ... ok (0.513s)
2022-11-23T02:06:29.1467554Z   test_atleast_cuda_float64 (__main__.TestOldViewOpsCUDA) ... ok (0.490s)
2022-11-23T02:06:29.1467959Z   test_atleast_cuda_int16 (__main__.TestOldViewOpsCUDA) ... ok (0.247s)
2022-11-23T02:06:29.1468409Z   test_atleast_cuda_int32 (__main__.TestOldViewOpsCUDA) ... ok (0.252s)
2022-11-23T02:06:29.1469115Z   test_atleast_cuda_int64 (__main__.TestOldViewOpsCUDA) ... ok (0.235s)
2022-11-23T02:06:29.1469848Z   test_atleast_cuda_int8 (__main__.TestOldViewOpsCUDA) ... ok (0.248s)
2022-11-23T02:06:29.1470340Z   test_atleast_cuda_uint8 (__main__.TestOldViewOpsCUDA) ... ok (0.248s)
2022-11-23T02:06:29.1471155Z   test_atleast_gradient_cuda (__main__.TestOldViewOpsCUDA) ... ok (0.144s)
2022-11-23T02:06:29.1472161Z   test_big_transpose_cuda (__main__.TestOldViewOpsCUDA) ... ok (0.012s)
2022-11-23T02:06:29.1472784Z   test_broadcast_shapes_cuda (__main__.TestOldViewOpsCUDA) ... skip: Only runs on cpu (0.004s)
2022-11-23T02:06:29.1473258Z   test_broadcast_tensors_cuda_float32 (__main__.TestOldViewOpsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T02:06:29.1474819Z   test_broadcast_to_cuda_bool (__main__.TestOldViewOpsCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_comparison.py:599: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:205.)
2022-11-23T02:06:29.1475768Z   return torch.as_tensor(tensor_like)
2022-11-23T02:06:29.1476296Z ok (0.057s)
2022-11-23T02:06:29.1477015Z   test_broadcast_to_cuda_complex128 (__main__.TestOldViewOpsCUDA) ... ok (0.059s)
2022-11-23T02:06:29.1478003Z   test_broadcast_to_cuda_complex64 (__main__.TestOldViewOpsCUDA) ... ok (0.060s)
2022-11-23T02:06:29.1478814Z   test_broadcast_to_cuda_float16 (__main__.TestOldViewOpsCUDA) ... ok (0.058s)
2022-11-23T02:06:29.1479673Z   test_broadcast_to_cuda_float32 (__main__.TestOldViewOpsCUDA) ... ok (0.058s)
2022-11-23T02:06:29.1480499Z   test_broadcast_to_cuda_float64 (__main__.TestOldViewOpsCUDA) ... ok (0.058s)
2022-11-23T02:06:29.1481382Z   test_broadcast_to_cuda_int16 (__main__.TestOldViewOpsCUDA) ... ok (0.056s)
2022-11-23T02:06:29.1482250Z   test_broadcast_to_cuda_int32 (__main__.TestOldViewOpsCUDA) ... ok (0.055s)
2022-11-23T02:06:29.1483064Z   test_broadcast_to_cuda_int64 (__main__.TestOldViewOpsCUDA) ... ok (0.055s)
2022-11-23T02:06:29.1483982Z   test_broadcast_to_cuda_int8 (__main__.TestOldViewOpsCUDA) ... ok (0.055s)
2022-11-23T02:06:29.1484757Z   test_broadcast_to_cuda_uint8 (__main__.TestOldViewOpsCUDA) ... ok (0.055s)
2022-11-23T02:06:29.1485454Z   test_chunk_cuda (__main__.TestOldViewOpsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T02:06:29.1486400Z   test_conj_neg_view_numpy_error_cuda (__main__.TestOldViewOpsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T02:06:29.1488107Z   test_contiguous_cuda (__main__.TestOldViewOpsCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T02:06:29.1488783Z   warnings.warn(message, UserWarning)
2022-11-23T02:06:29.1489038Z ok (0.003s)
2022-11-23T02:06:29.1489388Z   test_crow_col_indices_cuda (__main__.TestOldViewOpsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T02:06:29.1490019Z   test_empty_reshape_cuda (__main__.TestOldViewOpsCUDA) ... ok (0.006s)
2022-11-23T02:06:29.1490411Z   test_expand_cuda (__main__.TestOldViewOpsCUDA) ... ok (0.014s)
2022-11-23T02:06:29.1490795Z   test_flatten_cuda (__main__.TestOldViewOpsCUDA) ... ok (0.026s)
2022-11-23T02:06:29.1491194Z   test_memory_format_resize__cuda (__main__.TestOldViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1491590Z   test_memory_format_resize_as_cuda (__main__.TestOldViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1492016Z   test_narrow_cuda (__main__.TestOldViewOpsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T02:06:29.1492457Z   test_narrow_tensor_cuda (__main__.TestOldViewOpsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T02:06:29.1492959Z   test_python_types_cuda (__main__.TestOldViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1493324Z   test_ravel_cuda (__main__.TestOldViewOpsCUDA) ... ok (0.011s)
2022-11-23T02:06:29.1493700Z   test_reshape_cuda (__main__.TestOldViewOpsCUDA) ... ok (0.007s)
2022-11-23T02:06:29.1494120Z   test_reshape_view_semantics_cuda_bfloat16 (__main__.TestOldViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1494546Z   test_reshape_view_semantics_cuda_bool (__main__.TestOldViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1494993Z   test_reshape_view_semantics_cuda_complex128 (__main__.TestOldViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1495444Z   test_reshape_view_semantics_cuda_complex64 (__main__.TestOldViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1495891Z   test_reshape_view_semantics_cuda_float16 (__main__.TestOldViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1497049Z   test_reshape_view_semantics_cuda_float32 (__main__.TestOldViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1497509Z   test_reshape_view_semantics_cuda_float64 (__main__.TestOldViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1497942Z   test_reshape_view_semantics_cuda_int16 (__main__.TestOldViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1498357Z   test_reshape_view_semantics_cuda_int32 (__main__.TestOldViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1498798Z   test_reshape_view_semantics_cuda_int64 (__main__.TestOldViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1499227Z   test_reshape_view_semantics_cuda_int8 (__main__.TestOldViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1499658Z   test_reshape_view_semantics_cuda_uint8 (__main__.TestOldViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1500076Z   test_resize_all_dtypes_and_devices_cuda (__main__.TestOldViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1500522Z   test_resize_as_all_dtypes_and_devices_cuda (__main__.TestOldViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1500962Z   test_resize_as_preserves_strides_cuda (__main__.TestOldViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1501388Z   test_resize_overflow_cuda (__main__.TestOldViewOpsCUDA) ... ok (0.009s)
2022-11-23T02:06:29.1501790Z   test_split_cuda (__main__.TestOldViewOpsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T02:06:29.1502212Z   test_t_cuda (__main__.TestOldViewOpsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T02:06:29.1502628Z   test_tensor_split_errors_cuda (__main__.TestOldViewOpsCUDA) ... ok (0.058s)
2022-11-23T02:06:29.1503039Z   test_tensor_split_indices_cuda_bool (__main__.TestOldViewOpsCUDA) ... ok (0.304s)
2022-11-23T02:06:29.1503478Z   test_tensor_split_indices_cuda_complex128 (__main__.TestOldViewOpsCUDA) ... ok (0.399s)
2022-11-23T02:06:29.1503922Z   test_tensor_split_indices_cuda_complex64 (__main__.TestOldViewOpsCUDA) ... ok (0.417s)
2022-11-23T02:06:29.1504364Z   test_tensor_split_indices_cuda_float16 (__main__.TestOldViewOpsCUDA) ... ok (0.377s)
2022-11-23T02:06:29.1504778Z   test_tensor_split_indices_cuda_float32 (__main__.TestOldViewOpsCUDA) ... ok (0.379s)
2022-11-23T02:06:29.1505211Z   test_tensor_split_indices_cuda_float64 (__main__.TestOldViewOpsCUDA) ... ok (0.363s)
2022-11-23T02:06:29.1505641Z   test_tensor_split_indices_cuda_int16 (__main__.TestOldViewOpsCUDA) ... ok (0.295s)
2022-11-23T02:06:29.1506052Z   test_tensor_split_indices_cuda_int32 (__main__.TestOldViewOpsCUDA) ... ok (0.295s)
2022-11-23T02:06:29.1506740Z   test_tensor_split_indices_cuda_int64 (__main__.TestOldViewOpsCUDA) ... ok (0.283s)
2022-11-23T02:06:29.1507184Z   test_tensor_split_indices_cuda_int8 (__main__.TestOldViewOpsCUDA) ... ok (0.291s)
2022-11-23T02:06:29.1507615Z   test_tensor_split_indices_cuda_uint8 (__main__.TestOldViewOpsCUDA) ... ok (0.298s)
2022-11-23T02:06:29.1508020Z   test_tensor_split_sections_cuda_bool (__main__.TestOldViewOpsCUDA) ... ok (1.056s)
2022-11-23T02:06:29.1508459Z   test_tensor_split_sections_cuda_complex128 (__main__.TestOldViewOpsCUDA) ... ok (1.432s)
2022-11-23T02:06:29.1508907Z   test_tensor_split_sections_cuda_complex64 (__main__.TestOldViewOpsCUDA) ... ok (1.466s)
2022-11-23T02:06:29.1509433Z   test_tensor_split_sections_cuda_float16 (__main__.TestOldViewOpsCUDA) ... ok (1.334s)
2022-11-23T02:06:29.1509873Z   test_tensor_split_sections_cuda_float32 (__main__.TestOldViewOpsCUDA) ... ok (1.341s)
2022-11-23T02:06:29.1510313Z   test_tensor_split_sections_cuda_float64 (__main__.TestOldViewOpsCUDA) ... ok (1.296s)
2022-11-23T02:06:29.1510748Z   test_tensor_split_sections_cuda_int16 (__main__.TestOldViewOpsCUDA) ... ok (1.045s)
2022-11-23T02:06:29.1511159Z   test_tensor_split_sections_cuda_int32 (__main__.TestOldViewOpsCUDA) ... ok (1.056s)
2022-11-23T02:06:29.1511847Z   test_tensor_split_sections_cuda_int64 (__main__.TestOldViewOpsCUDA) ... ok (1.023s)
2022-11-23T02:06:29.1512263Z   test_tensor_split_sections_cuda_int8 (__main__.TestOldViewOpsCUDA) ... ok (1.057s)
2022-11-23T02:06:29.1512691Z   test_tensor_split_sections_cuda_uint8 (__main__.TestOldViewOpsCUDA) ... ok (1.062s)
2022-11-23T02:06:29.1513127Z   test_transpose_invalid_cuda_complex128 (__main__.TestOldViewOpsCUDA) ... ok (0.048s)
2022-11-23T02:06:29.1513551Z   test_transpose_invalid_cuda_float32 (__main__.TestOldViewOpsCUDA) ... ok (0.047s)
2022-11-23T02:06:29.1513976Z   test_transpose_invalid_cuda_int64 (__main__.TestOldViewOpsCUDA) ... ok (0.045s)
2022-11-23T02:06:29.1514415Z   test_transpose_vs_numpy_cuda_complex128 (__main__.TestOldViewOpsCUDA) ... ok (0.063s)
2022-11-23T02:06:29.1514857Z   test_transpose_vs_numpy_cuda_float32 (__main__.TestOldViewOpsCUDA) ... ok (0.055s)
2022-11-23T02:06:29.1515269Z   test_transpose_vs_numpy_cuda_int64 (__main__.TestOldViewOpsCUDA) ... ok (0.036s)
2022-11-23T02:06:29.1515683Z   test_transposes_cuda_bfloat16 (__main__.TestOldViewOpsCUDA) ... ok (0.009s)
2022-11-23T02:06:29.1516094Z   test_transposes_cuda_bool (__main__.TestOldViewOpsCUDA) ... ok (0.006s)
2022-11-23T02:06:29.1516497Z   test_transposes_cuda_complex128 (__main__.TestOldViewOpsCUDA) ... ok (0.015s)
2022-11-23T02:06:29.1516916Z   test_transposes_cuda_complex64 (__main__.TestOldViewOpsCUDA) ... ok (0.011s)
2022-11-23T02:06:29.1517345Z   test_transposes_cuda_float16 (__main__.TestOldViewOpsCUDA) ... ok (0.009s)
2022-11-23T02:06:29.1517760Z   test_transposes_cuda_float32 (__main__.TestOldViewOpsCUDA) ... ok (0.010s)
2022-11-23T02:06:29.1518152Z   test_transposes_cuda_float64 (__main__.TestOldViewOpsCUDA) ... ok (0.009s)
2022-11-23T02:06:29.1518557Z   test_transposes_cuda_int16 (__main__.TestOldViewOpsCUDA) ... ok (0.007s)
2022-11-23T02:06:29.1518962Z   test_transposes_cuda_int32 (__main__.TestOldViewOpsCUDA) ... ok (0.007s)
2022-11-23T02:06:29.1519343Z   test_transposes_cuda_int64 (__main__.TestOldViewOpsCUDA) ... ok (0.006s)
2022-11-23T02:06:29.1519748Z   test_transposes_cuda_int8 (__main__.TestOldViewOpsCUDA) ... ok (0.006s)
2022-11-23T02:06:29.1520152Z   test_transposes_cuda_uint8 (__main__.TestOldViewOpsCUDA) ... ok (0.007s)
2022-11-23T02:06:29.1520572Z   test_transposes_errors_cuda_bfloat16 (__main__.TestOldViewOpsCUDA) ... ok (0.019s)
2022-11-23T02:06:29.1520990Z   test_transposes_errors_cuda_bool (__main__.TestOldViewOpsCUDA) ... ok (0.019s)
2022-11-23T02:06:29.1521424Z   test_transposes_errors_cuda_complex128 (__main__.TestOldViewOpsCUDA) ... ok (0.019s)
2022-11-23T02:06:29.1521864Z   test_transposes_errors_cuda_complex64 (__main__.TestOldViewOpsCUDA) ... ok (0.019s)
2022-11-23T02:06:29.1522394Z   test_transposes_errors_cuda_float16 (__main__.TestOldViewOpsCUDA) ... ok (0.019s)
2022-11-23T02:06:29.1522839Z   test_transposes_errors_cuda_float32 (__main__.TestOldViewOpsCUDA) ... ok (0.019s)
2022-11-23T02:06:29.1523265Z   test_transposes_errors_cuda_float64 (__main__.TestOldViewOpsCUDA) ... ok (0.019s)
2022-11-23T02:06:29.1523688Z   test_transposes_errors_cuda_int16 (__main__.TestOldViewOpsCUDA) ... ok (0.019s)
2022-11-23T02:06:29.1524095Z   test_transposes_errors_cuda_int32 (__main__.TestOldViewOpsCUDA) ... ok (0.019s)
2022-11-23T02:06:29.1524517Z   test_transposes_errors_cuda_int64 (__main__.TestOldViewOpsCUDA) ... ok (0.019s)
2022-11-23T02:06:29.1524940Z   test_transposes_errors_cuda_int8 (__main__.TestOldViewOpsCUDA) ... ok (0.019s)
2022-11-23T02:06:29.1525417Z   test_transposes_errors_cuda_uint8 (__main__.TestOldViewOpsCUDA) ... ok (0.019s)
2022-11-23T02:06:29.1525852Z   test_unsqueeze_cuda (__main__.TestOldViewOpsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T02:06:29.1526294Z   test_view_all_dtypes_and_devices_cuda (__main__.TestOldViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1526697Z   test_view_cuda (__main__.TestOldViewOpsCUDA) ... ok (0.049s)
2022-11-23T02:06:29.1527062Z   test_view_empty_cuda (__main__.TestOldViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1527436Z   test_T_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1527838Z   test_advanced_indexing_assignment_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1528247Z   test_advanced_indexing_nonview_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1529374Z   test_as_strided_gradients_cuda (__main__.TestViewOpsCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T02:06:29.1530049Z   warnings.warn(message, UserWarning)
2022-11-23T02:06:29.1530859Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T02:06:29.1531438Z   warnings.warn(message, UserWarning)
2022-11-23T02:06:29.1532222Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T02:06:29.1532802Z   warnings.warn(message, UserWarning)
2022-11-23T02:06:29.1533597Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T02:06:29.1534175Z   warnings.warn(message, UserWarning)
2022-11-23T02:06:29.1534967Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T02:06:29.1535539Z   warnings.warn(message, UserWarning)
2022-11-23T02:06:29.1537102Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T02:06:29.1537711Z   warnings.warn(message, UserWarning)
2022-11-23T02:06:29.1538511Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T02:06:29.1539074Z   warnings.warn(message, UserWarning)
2022-11-23T02:06:29.1540219Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T02:06:29.1540806Z   warnings.warn(message, UserWarning)
2022-11-23T02:06:29.1541579Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T02:06:29.1542142Z   warnings.warn(message, UserWarning)
2022-11-23T02:06:29.1542517Z ok (0.188s)
2022-11-23T02:06:29.1542845Z   test_as_strided_inplace_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1543229Z   test_as_strided_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1543638Z   test_basic_indexing_ellipses_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1544064Z   test_basic_indexing_newaxis_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1544471Z   test_basic_indexing_slice_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1544984Z   test_chunk_view_cuda (__main__.TestViewOpsCUDA) ... skip: See https://github.com/pytorch/pytorch/pull/32720 (0.001s)
2022-11-23T02:06:29.1545510Z   test_conj_imag_view_cuda_complex128 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1545921Z   test_conj_imag_view_cuda_complex64 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1546305Z   test_conj_self_cuda_bfloat16 (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1546701Z   test_conj_self_cuda_float16 (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1547086Z   test_conj_self_cuda_float32 (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1547453Z   test_conj_self_cuda_float64 (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1547845Z   test_conj_self_cuda_int16 (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1548229Z   test_conj_self_cuda_int32 (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1548611Z   test_conj_self_cuda_int64 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1548975Z   test_conj_self_cuda_int8 (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1549353Z   test_conj_self_cuda_uint8 (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1549756Z   test_conj_view_with_shared_memory_cuda (__main__.TestViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1550146Z   test_contiguous_nonview_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1550543Z   test_contiguous_self_cuda (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1550936Z   test_diagonal_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1551301Z   test_expand_as_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1551688Z   test_expand_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1552068Z   test_flatten_nonview_cuda (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1552453Z   test_flatten_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.006s)
2022-11-23T02:06:29.1552832Z   test_imag_noncomplex_cuda_bfloat16 (__main__.TestViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1553246Z   test_imag_noncomplex_cuda_float16 (__main__.TestViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1553654Z   test_imag_noncomplex_cuda_float32 (__main__.TestViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1554039Z   test_imag_noncomplex_cuda_float64 (__main__.TestViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1554449Z   test_imag_noncomplex_cuda_int16 (__main__.TestViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1554857Z   test_imag_noncomplex_cuda_int32 (__main__.TestViewOpsCUDA) ... ok (0.006s)
2022-11-23T02:06:29.1555254Z   test_imag_noncomplex_cuda_int64 (__main__.TestViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1555749Z   test_imag_noncomplex_cuda_int8 (__main__.TestViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1556165Z   test_imag_noncomplex_cuda_uint8 (__main__.TestViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1556554Z   test_movedim_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.009s)
2022-11-23T02:06:29.1556910Z   test_narrow_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1557285Z   test_permute_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1557680Z   test_real_imag_view_cuda_complex128 (__main__.TestViewOpsCUDA) ... ok (0.006s)
2022-11-23T02:06:29.1558090Z   test_real_imag_view_cuda_complex64 (__main__.TestViewOpsCUDA) ... ok (0.007s)
2022-11-23T02:06:29.1558542Z   test_reshape_as_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1558933Z   test_reshape_nonview_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1559312Z   test_reshape_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1559674Z   test_select_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1560075Z   test_set_real_imag_cuda_complex128_bfloat16 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1560502Z   test_set_real_imag_cuda_complex128_bool (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1560919Z   test_set_real_imag_cuda_complex128_complex128 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1561360Z   test_set_real_imag_cuda_complex128_complex64 (__main__.TestViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1561795Z   test_set_real_imag_cuda_complex128_float16 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1562233Z   test_set_real_imag_cuda_complex128_float32 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1562634Z   test_set_real_imag_cuda_complex128_float64 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1563055Z   test_set_real_imag_cuda_complex128_int16 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1563478Z   test_set_real_imag_cuda_complex128_int32 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1563894Z   test_set_real_imag_cuda_complex128_int64 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1564286Z   test_set_real_imag_cuda_complex128_int8 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1564705Z   test_set_real_imag_cuda_complex128_uint8 (__main__.TestViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1565132Z   test_set_real_imag_cuda_complex64_bfloat16 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1565538Z   test_set_real_imag_cuda_complex64_bool (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1565972Z   test_set_real_imag_cuda_complex64_complex128 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1566405Z   test_set_real_imag_cuda_complex64_complex64 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1566842Z   test_set_real_imag_cuda_complex64_float16 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1567243Z   test_set_real_imag_cuda_complex64_float32 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1567660Z   test_set_real_imag_cuda_complex64_float64 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1568104Z   test_set_real_imag_cuda_complex64_int16 (__main__.TestViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1568506Z   test_set_real_imag_cuda_complex64_int32 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1568929Z   test_set_real_imag_cuda_complex64_int64 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1569353Z   test_set_real_imag_cuda_complex64_int8 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1569778Z   test_set_real_imag_cuda_complex64_uint8 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1570255Z   test_split_view_cuda (__main__.TestViewOpsCUDA) ... skip: See https://github.com/pytorch/pytorch/pull/32720 (0.001s)
2022-11-23T02:06:29.1570885Z   test_squeeze_inplace_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1571289Z   test_squeeze_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1571731Z   test_t_inplace_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1572112Z   test_t_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1572511Z   test_transpose_inplace_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1572917Z   test_transpose_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1573270Z   test_unbind_cuda (__main__.TestViewOpsCUDA) ... ok (0.012s)
2022-11-23T02:06:29.1573634Z   test_unbind_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1574105Z   test_unfold_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1574482Z   test_unsqueeze_inplace_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1574878Z   test_unsqueeze_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1575269Z   test_view_as_complex_cuda (__main__.TestViewOpsCUDA) ... ok (0.042s)
2022-11-23T02:06:29.1575651Z   test_view_as_real_cuda_complex128 (__main__.TestViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1577394Z   test_view_as_real_cuda_complex32 (__main__.TestViewOpsCUDA) ... /var/lib/jenkins/workspace/test/test_view_ops.py:308: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T02:06:29.1578079Z   t = torch.randn(3, 4, dtype=dtype, device=device)
2022-11-23T02:06:29.1578357Z ok (0.006s)
2022-11-23T02:06:29.1578670Z   test_view_as_real_cuda_complex64 (__main__.TestViewOpsCUDA) ... ok (0.006s)
2022-11-23T02:06:29.1579063Z   test_view_as_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1579437Z   test_view_copy_cuda (__main__.TestViewOpsCUDA) ... ok (0.005s)
2022-11-23T02:06:29.1579820Z   test_view_copy_out_cuda (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1580206Z   test_view_copy_output_contiguous_cuda (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1580616Z   test_view_dtype_new_cuda_bool (__main__.TestViewOpsCUDA) ... ok (0.239s)
2022-11-23T02:06:29.1581022Z   test_view_dtype_new_cuda_complex128 (__main__.TestViewOpsCUDA) ... ok (0.263s)
2022-11-23T02:06:29.1581415Z   test_view_dtype_new_cuda_complex64 (__main__.TestViewOpsCUDA) ... ok (0.225s)
2022-11-23T02:06:29.1581824Z   test_view_dtype_new_cuda_float16 (__main__.TestViewOpsCUDA) ... ok (0.244s)
2022-11-23T02:06:29.1582219Z   test_view_dtype_new_cuda_float32 (__main__.TestViewOpsCUDA) ... ok (0.245s)
2022-11-23T02:06:29.1582626Z   test_view_dtype_new_cuda_float64 (__main__.TestViewOpsCUDA) ... ok (0.222s)
2022-11-23T02:06:29.1583001Z   test_view_dtype_new_cuda_int16 (__main__.TestViewOpsCUDA) ... ok (0.242s)
2022-11-23T02:06:29.1583393Z   test_view_dtype_new_cuda_int32 (__main__.TestViewOpsCUDA) ... ok (0.243s)
2022-11-23T02:06:29.1583784Z   test_view_dtype_new_cuda_int64 (__main__.TestViewOpsCUDA) ... ok (0.221s)
2022-11-23T02:06:29.1584154Z   test_view_dtype_new_cuda_int8 (__main__.TestViewOpsCUDA) ... ok (0.237s)
2022-11-23T02:06:29.1584547Z   test_view_dtype_new_cuda_uint8 (__main__.TestViewOpsCUDA) ... ok (0.237s)
2022-11-23T02:06:29.1584959Z   test_view_dtype_upsize_errors_cuda_bfloat16 (__main__.TestViewOpsCUDA) ... ok (0.119s)
2022-11-23T02:06:29.1585394Z   test_view_dtype_upsize_errors_cuda_bool (__main__.TestViewOpsCUDA) ... ok (0.175s)
2022-11-23T02:06:29.1585810Z   test_view_dtype_upsize_errors_cuda_complex128 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1586250Z   test_view_dtype_upsize_errors_cuda_complex64 (__main__.TestViewOpsCUDA) ... ok (0.022s)
2022-11-23T02:06:29.1586691Z   test_view_dtype_upsize_errors_cuda_float16 (__main__.TestViewOpsCUDA) ... ok (0.118s)
2022-11-23T02:06:29.1587105Z   test_view_dtype_upsize_errors_cuda_float32 (__main__.TestViewOpsCUDA) ... ok (0.079s)
2022-11-23T02:06:29.1587758Z   test_view_dtype_upsize_errors_cuda_float64 (__main__.TestViewOpsCUDA) ... ok (0.022s)
2022-11-23T02:06:29.1588198Z   test_view_dtype_upsize_errors_cuda_int16 (__main__.TestViewOpsCUDA) ... ok (0.117s)
2022-11-23T02:06:29.1588616Z   test_view_dtype_upsize_errors_cuda_int32 (__main__.TestViewOpsCUDA) ... ok (0.079s)
2022-11-23T02:06:29.1589013Z   test_view_dtype_upsize_errors_cuda_int64 (__main__.TestViewOpsCUDA) ... ok (0.022s)
2022-11-23T02:06:29.1589432Z   test_view_dtype_upsize_errors_cuda_int8 (__main__.TestViewOpsCUDA) ... ok (0.175s)
2022-11-23T02:06:29.1589858Z   test_view_dtype_upsize_errors_cuda_uint8 (__main__.TestViewOpsCUDA) ... ok (0.174s)
2022-11-23T02:06:29.1590355Z   test_view_tensor_dsplit_cuda_bfloat16 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1590770Z   test_view_tensor_dsplit_cuda_bool (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1591186Z   test_view_tensor_dsplit_cuda_complex128 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1591613Z   test_view_tensor_dsplit_cuda_complex64 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1592019Z   test_view_tensor_dsplit_cuda_float16 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1592428Z   test_view_tensor_dsplit_cuda_float32 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1592841Z   test_view_tensor_dsplit_cuda_float64 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1593229Z   test_view_tensor_dsplit_cuda_int16 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1593638Z   test_view_tensor_dsplit_cuda_int32 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1594027Z   test_view_tensor_dsplit_cuda_int64 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1594435Z   test_view_tensor_dsplit_cuda_int8 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1594820Z   test_view_tensor_dsplit_cuda_uint8 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1595242Z   test_view_tensor_hsplit_cuda_bfloat16 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1595656Z   test_view_tensor_hsplit_cuda_bool (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1596056Z   test_view_tensor_hsplit_cuda_complex128 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1596485Z   test_view_tensor_hsplit_cuda_complex64 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1596900Z   test_view_tensor_hsplit_cuda_float16 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1597309Z   test_view_tensor_hsplit_cuda_float32 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1597695Z   test_view_tensor_hsplit_cuda_float64 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1598107Z   test_view_tensor_hsplit_cuda_int16 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1598510Z   test_view_tensor_hsplit_cuda_int32 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1598897Z   test_view_tensor_hsplit_cuda_int64 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1599299Z   test_view_tensor_hsplit_cuda_int8 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1599705Z   test_view_tensor_hsplit_cuda_uint8 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1600117Z   test_view_tensor_split_cuda_bfloat16 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1600515Z   test_view_tensor_split_cuda_bool (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1600933Z   test_view_tensor_split_cuda_complex128 (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1601368Z   test_view_tensor_split_cuda_complex64 (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1601779Z   test_view_tensor_split_cuda_float16 (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1602185Z   test_view_tensor_split_cuda_float32 (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1602594Z   test_view_tensor_split_cuda_float64 (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1603111Z   test_view_tensor_split_cuda_int16 (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1603503Z   test_view_tensor_split_cuda_int32 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1603893Z   test_view_tensor_split_cuda_int64 (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1604302Z   test_view_tensor_split_cuda_int8 (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1604686Z   test_view_tensor_split_cuda_uint8 (__main__.TestViewOpsCUDA) ... ok (0.002s)
2022-11-23T02:06:29.1605104Z   test_view_tensor_vsplit_cuda_bfloat16 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1605514Z   test_view_tensor_vsplit_cuda_bool (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1606012Z   test_view_tensor_vsplit_cuda_complex128 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1606419Z   test_view_tensor_vsplit_cuda_complex64 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1606842Z   test_view_tensor_vsplit_cuda_float16 (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1607253Z   test_view_tensor_vsplit_cuda_float32 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1607640Z   test_view_tensor_vsplit_cuda_float64 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1608047Z   test_view_tensor_vsplit_cuda_int16 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1608452Z   test_view_tensor_vsplit_cuda_int32 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1608856Z   test_view_tensor_vsplit_cuda_int64 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1609242Z   test_view_tensor_vsplit_cuda_int8 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1609645Z   test_view_tensor_vsplit_cuda_uint8 (__main__.TestViewOpsCUDA) ... ok (0.003s)
2022-11-23T02:06:29.1610028Z   test_view_view_cuda (__main__.TestViewOpsCUDA) ... ok (0.004s)
2022-11-23T02:06:29.1610253Z 
2022-11-23T02:06:29.1610614Z ----------------------------------------------------------------------
2022-11-23T02:06:29.1616751Z Ran 278 tests in 26.996s
2022-11-23T02:06:29.1617192Z 
2022-11-23T02:06:29.1617339Z OK (skipped=12)
2022-11-23T02:06:29.1617500Z 
2022-11-23T02:06:29.1617626Z Generating XML reports...
2022-11-23T02:06:29.1618283Z Generated XML report: test-reports/python-unittest/test_view_ops/TEST-TestOldViewOpsCUDA-20221123020601.xml
2022-11-23T02:06:29.1618942Z Generated XML report: test-reports/python-unittest/test_view_ops/TEST-TestViewOpsCUDA-20221123020601.xml
2022-11-23T02:06:29.1619250Z 
2022-11-23T02:06:29.1619782Z ##[endgroup]
2022-11-23T02:06:29.1620293Z FINISHED PRINTING LOG FILE of test_view_ops (/var/lib/jenkins/workspace/test/test-reports/test_view_ops_bh7l5xxi)
2022-11-23T02:06:29.1620597Z 
2022-11-23T02:06:32.4833203Z Ignoring disabled issues:  []
2022-11-23T02:06:32.5201545Z Running test_jit ... [2022-11-23 02:06:32.519487]
2022-11-23T02:06:32.5202906Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:06:32.519915]
2022-11-23T02:10:37.6535692Z 
2022-11-23T02:10:37.6536942Z Expand the folded group to see the log file of test_jit
2022-11-23T02:10:37.6546114Z ##[group]PRINTING LOG FILE of test_jit (/var/lib/jenkins/workspace/test/test-reports/test_jit_k8zrrgmg)
2022-11-23T02:10:37.6548084Z monkeytype is not installed. Skipping tests for Profile-Directed Typing
2022-11-23T02:10:37.6548935Z 
2022-11-23T02:10:37.6551849Z Running tests...
2022-11-23T02:10:37.6552937Z ----------------------------------------------------------------------
2022-11-23T02:10:37.6553603Z Test results will be stored in test-reports/python-unittest/test_jit
2022-11-23T02:10:37.6554339Z   test_becomes_wildcard_annotations (jit.test_alias_analysis.TestAliasAnalysis) ... ok (0.002s)
2022-11-23T02:10:37.6555132Z   test_nested_list_construct_not_wildcard (jit.test_alias_analysis.TestAliasAnalysis) ... ok (0.018s)
2022-11-23T02:10:37.6557875Z   test_recursive_calls (jit.test_alias_analysis.TestAliasAnalysis) ... ok (0.026s)
2022-11-23T02:10:37.6559029Z   test_async_future_type_python (jit.test_async.TestAsync) ... ok (0.002s)
2022-11-23T02:10:37.6559494Z   test_async_grad_guard_no_grad (jit.test_async.TestAsync) ... ok (0.079s)
2022-11-23T02:10:37.6560043Z   test_async_grad_guard_with_grad (jit.test_async.TestAsync) ... ok (0.012s)
2022-11-23T02:10:37.6561075Z   test_async_kwargs (jit.test_async.TestAsync) ... ok (0.323s)
2022-11-23T02:10:37.6561967Z   test_async_parsing (jit.test_async.TestAsync) ... ok (0.015s)
2022-11-23T02:10:37.6562525Z   test_async_python (jit.test_async.TestAsync) ... ok (0.005s)
2022-11-23T02:10:37.6562922Z   test_async_script (jit.test_async.TestAsync) ... ok (0.012s)
2022-11-23T02:10:37.6564090Z   test_async_script_capture (jit.test_async.TestAsync) ... ok (0.015s)
2022-11-23T02:10:37.6564782Z   test_async_script_error (jit.test_async.TestAsync) ... ok (0.044s)
2022-11-23T02:10:37.6565486Z   test_async_script_multi_forks (jit.test_async.TestAsync) ... ok (0.028s)
2022-11-23T02:10:37.6566222Z   test_async_script_multi_waits (jit.test_async.TestAsync) ... ok (0.012s)
2022-11-23T02:10:37.6566965Z   test_async_script_nested (jit.test_async.TestAsync) ... ok (0.019s)
2022-11-23T02:10:37.6567526Z   test_async_script_no_script_mod (jit.test_async.TestAsync) ... ok (0.003s)
2022-11-23T02:10:37.6567929Z   test_async_script_trace (jit.test_async.TestAsync) ... ok (0.063s)
2022-11-23T02:10:37.6568411Z   test_future_subtyping (jit.test_async.TestAsync)
2022-11-23T02:10:37.6569100Z Test that futures subtype each other properly. ... ok (0.017s)
2022-11-23T02:10:37.6569583Z   test_no_future_subtype_message (jit.test_async.TestAsync) ... ok (0.003s)
2022-11-23T02:10:37.6570481Z   test_trace_fork_wait (jit.test_async.TestAsync) ... ok (0.020s)
2022-11-23T02:10:37.6571398Z   test_trace_fork_wait_inline (jit.test_async.TestAsync) ... ok (0.015s)
2022-11-23T02:10:37.6572361Z   test_trace_fork_wait_leaking (jit.test_async.TestAsync) ... ok (0.003s)
2022-11-23T02:10:37.6573380Z   test_trace_fork_wait_list_modulecalls (jit.test_async.TestAsync) ... ok (0.046s)
2022-11-23T02:10:37.6574752Z   test_trace_modulecalls_with_different_output_types (jit.test_async.TestAsync) ... ok (0.029s)
2022-11-23T02:10:37.6575891Z   test_aten_pow_zero_negative_exponent (jit.test_aten_pow.TestAtenPow)
2022-11-23T02:10:37.6619193Z 1. Testing a = int, b = int ... ok (0.032s)
2022-11-23T02:10:37.6620195Z   test_autodiff_requires_grad_nograd (jit.test_autodiff.TestAutodiffJit) ... ok (0.129s)
2022-11-23T02:10:37.6621142Z   test_requires_grad_outputs (jit.test_autodiff.TestAutodiffJit) ... ok (0.084s)
2022-11-23T02:10:37.6622107Z   test_requires_grad_outputs_profiled_twice (jit.test_autodiff.TestAutodiffJit) ... ok (0.182s)
2022-11-23T02:10:37.6623234Z   test_requires_grad_outputs_side_effects (jit.test_autodiff.TestAutodiffJit) ... ok (0.182s)
2022-11-23T02:10:37.6624252Z   test_undefined_tensor_lists (jit.test_autodiff.TestAutodiffJit) ... ok (0.200s)
2022-11-23T02:10:37.6625171Z   test_aliased_outputs (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.004s)
2022-11-23T02:10:37.6627479Z   test_bias_as_arg (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:300: UserWarning: operator() profile_node %190 : int[] = prim::profile_ivalue(%188)
2022-11-23T02:10:37.6628894Z  does not have profile information (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/graph_fuser.cpp:109.)
2022-11-23T02:10:37.6629879Z   return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T02:10:37.6630509Z ok (0.623s)
2022-11-23T02:10:37.6631237Z   test_bias_as_module_attr (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.526s)
2022-11-23T02:10:37.6632352Z   test_chunk_constant_script_ad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.007s)
2022-11-23T02:10:37.6633350Z   test_constructed_bias (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.042s)
2022-11-23T02:10:37.6634420Z   test_diff_graph_inline_threshold (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.012s)
2022-11-23T02:10:37.6635774Z   test_differentiable_graph_ops_requires_grad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... skip: disable until we property handle tensor lists with undefined gradients (0.002s)
2022-11-23T02:10:37.6637011Z   test_does_not_create_cycles (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.010s)
2022-11-23T02:10:37.6638099Z   test_does_not_merge_unrelated (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.010s)
2022-11-23T02:10:37.6639643Z   test_has_profiled_info_aliasing_outputs (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.002s)
2022-11-23T02:10:37.6640734Z   test_merge_respects_aliasing (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.017s)
2022-11-23T02:10:37.6641809Z   test_merges_dense (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.011s)
2022-11-23T02:10:37.6642781Z   test_merges_down (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.011s)
2022-11-23T02:10:37.6643819Z   test_merges_up (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.011s)
2022-11-23T02:10:37.6644829Z   test_merges_without_cycles (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.010s)
2022-11-23T02:10:37.6646365Z   test_prune_grad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... skip: Simple Executor doesn't support gradients (0.001s)
2022-11-23T02:10:37.6647480Z   test_requires_grad_for_tensor_list (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.009s)
2022-11-23T02:10:37.6648530Z   test_respects_lexical_scoping (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.013s)
2022-11-23T02:10:37.6649523Z   test_simple_merge (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.009s)
2022-11-23T02:10:37.6650868Z   test_simple_no_merge (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.010s)
2022-11-23T02:10:37.6652265Z   test_errors (jit.test_backends.TestBackends) ... [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module)
2022-11-23T02:10:37.6653317Z ok (0.256s)
2022-11-23T02:10:37.6654539Z   test_execution (jit.test_backends.TestBackends) ... [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module)
2022-11-23T02:10:37.6655617Z ok (0.238s)
2022-11-23T02:10:37.6657280Z   test_save_load (jit.test_backends.TestBackends) ... [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module)
2022-11-23T02:10:37.6658386Z ok (0.408s)
2022-11-23T02:10:37.6658995Z   test_errors (jit.test_backends.TestBackendsWithCompiler) ... ok (0.077s)
2022-11-23T02:10:37.6659858Z   test_execution (jit.test_backends.TestBackendsWithCompiler) ... ok (0.115s)
2022-11-23T02:10:37.6660658Z   test_batch_mm_no_mutation (jit.test_batch_mm.TestBatchMM) ... ok (0.010s)
2022-11-23T02:10:37.6661447Z   test_batch_mm_permitted_mutation (jit.test_batch_mm.TestBatchMM) ... ok (0.011s)
2022-11-23T02:10:37.6662239Z   test_batch_mm_prohibited_mutation (jit.test_batch_mm.TestBatchMM) ... ok (0.011s)
2022-11-23T02:10:37.6663040Z   test_batch_mm_prohibited_mutation_if_node (jit.test_batch_mm.TestBatchMM) ... ok (0.014s)
2022-11-23T02:10:37.6663866Z   test_batch_mm_prohibited_mutation_multiple_adds (jit.test_batch_mm.TestBatchMM) ... ok (0.015s)
2022-11-23T02:10:37.6667909Z   test_batch_mm_side_permitted_mutation (jit.test_batch_mm.TestBatchMM) ... ok (0.015s)
2022-11-23T02:10:37.6668842Z   test_batch_mm_side_prohibited_mutation_common_side (jit.test_batch_mm.TestBatchMM) ... ok (0.017s)
2022-11-23T02:10:37.6669712Z   test_batch_mm_side_prohibited_mutation_uncommon_side (jit.test_batch_mm.TestBatchMM) ... ok (0.017s)
2022-11-23T02:10:37.6670467Z   test_del (jit.test_builtins.TestBuiltins) ... ok (0.011s)
2022-11-23T02:10:37.6671219Z   test_del_multiple_operands (jit.test_builtins.TestBuiltins) ... ok (0.016s)
2022-11-23T02:10:37.6672171Z   test_has_attr (jit.test_builtins.TestBuiltins) ... ok (0.032s)
2022-11-23T02:10:37.6673002Z   test_has_attr_invalid_args (jit.test_builtins.TestBuiltins) ... ok (0.016s)
2022-11-23T02:10:37.6673425Z   test_cuda_synchronize (jit.test_cuda.TestCUDA) ... skip: detected only one GPU (0.002s)
2022-11-23T02:10:37.6673877Z   test_current_stream (jit.test_cuda.TestCUDA) ... skip: detected only one GPU (0.001s)
2022-11-23T02:10:37.6674280Z   test_event_args (jit.test_cuda.TestCUDA) ... ok (0.174s)
2022-11-23T02:10:37.6674657Z   test_stream_args (jit.test_cuda.TestCUDA) ... ok (0.187s)
2022-11-23T02:10:37.6675052Z   test_streams_and_events (jit.test_cuda.TestCUDA) ... skip: detected only one GPU (0.013s)
2022-11-23T02:10:37.6675489Z   test_cast_overloads (jit.test_class_type.TestClassType) ... ok (0.073s)
2022-11-23T02:10:37.6675915Z   test_class_attribute_wrong_type (jit.test_class_type.TestClassType)
2022-11-23T02:10:37.6676329Z Test that the error message displayed when convering a class type ... ok (0.035s)
2022-11-23T02:10:37.6676752Z   test_class_constant (jit.test_class_type.TestClassType) ... ok (0.062s)
2022-11-23T02:10:37.6677193Z   test_class_constructs_itself (jit.test_class_type.TestClassType) ... ok (0.029s)
2022-11-23T02:10:37.6677629Z   test_class_inheritance (jit.test_class_type.TestClassType) ... ok (0.023s)
2022-11-23T02:10:37.6678037Z   test_class_inheritance_implicit (jit.test_class_type.TestClassType)
2022-11-23T02:10:37.6678421Z Test that inheritance is detected in ... ok (0.055s)
2022-11-23T02:10:37.6678944Z   test_class_sorting (jit.test_class_type.TestClassType) ... ok (0.331s)
2022-11-23T02:10:37.6679371Z   test_class_specialization (jit.test_class_type.TestClassType) ... ok (0.120s)
2022-11-23T02:10:37.6679809Z   test_class_type_as_param (jit.test_class_type.TestClassType) ... ok (0.029s)
2022-11-23T02:10:37.6680216Z   test_classmethod (jit.test_class_type.TestClassType)
2022-11-23T02:10:37.6680559Z Test classmethods on class types. ... ok (0.038s)
2022-11-23T02:10:37.6680954Z   test_conditional_set_attr (jit.test_class_type.TestClassType) ... ok (0.019s)
2022-11-23T02:10:37.6681368Z   test_custom_delete (jit.test_class_type.TestClassType)
2022-11-23T02:10:37.6681764Z Test that del can be called on an instance of a class that ... ok (0.074s)
2022-11-23T02:10:37.6682127Z   test_default_args (jit.test_class_type.TestClassType)
2022-11-23T02:10:37.6682551Z Test that methods on class types can have default arguments. ... ok (0.341s)
2022-11-23T02:10:37.6682974Z   test_get_attr (jit.test_class_type.TestClassType) ... ok (0.023s)
2022-11-23T02:10:37.6683381Z   test_get_attr_not_initialized (jit.test_class_type.TestClassType) ... ok (0.019s)
2022-11-23T02:10:37.6683820Z   test_get_with_method (jit.test_class_type.TestClassType) ... ok (0.002s)
2022-11-23T02:10:37.6684243Z   test_imported_classes (jit.test_class_type.TestClassType) ... ok (0.025s)
2022-11-23T02:10:37.6684653Z   test_in (jit.test_class_type.TestClassType) ... ok (0.025s)
2022-11-23T02:10:37.6685039Z   test_init_compiled_first (jit.test_class_type.TestClassType) ... ok (0.026s)
2022-11-23T02:10:37.6685458Z   test_interface (jit.test_class_type.TestClassType) ... ok (0.410s)
2022-11-23T02:10:37.6685899Z   test_optional_type_promotion (jit.test_class_type.TestClassType) ... ok (0.052s)
2022-11-23T02:10:37.6686316Z   test_out_of_order_methods (jit.test_class_type.TestClassType) ... ok (0.027s)
2022-11-23T02:10:37.6686742Z   test_overloaded_fn (jit.test_class_type.TestClassType) ... ok (0.273s)
2022-11-23T02:10:37.6687149Z   test_properties (jit.test_class_type.TestClassType)
2022-11-23T02:10:37.6687544Z Test that a scripted class can make use of the @property decorator. ... ok (0.289s)
2022-11-23T02:10:37.6688015Z   test_py_class_to_ivalue_missing_attribute (jit.test_class_type.TestClassType) ... ok (0.033s)
2022-11-23T02:10:37.6688467Z   test_python_interop (jit.test_class_type.TestClassType) ... ok (0.026s)
2022-11-23T02:10:37.6688873Z   test_recursive_class (jit.test_class_type.TestClassType)
2022-11-23T02:10:37.6689283Z Recursive class types not yet supported. We should give a good error message. ... ok (0.026s)
2022-11-23T02:10:37.6689883Z   test_recursive_script_builtin_type_resolution (jit.test_class_type.TestClassType)
2022-11-23T02:10:37.6690676Z Test resolution of built-in torch types(e.g. torch.Tensor, torch.device) when a class is recursively compiled. ... ok (0.095s)
2022-11-23T02:10:37.6691179Z   test_recursive_script_module_builtin_type_resolution (jit.test_class_type.TestClassType)
2022-11-23T02:10:37.6691831Z Test resolution of built-in torch types(e.g. torch.Tensor, torch.device) when a class is recursively compiled ... ok (0.047s)
2022-11-23T02:10:37.6692312Z   test_recursive_scripting (jit.test_class_type.TestClassType)
2022-11-23T02:10:37.6692757Z Test that class types are recursively scripted when an Python instance of one ... ok (0.044s)
2022-11-23T02:10:37.6693184Z   test_recursive_scripting_failed (jit.test_class_type.TestClassType)
2022-11-23T02:10:37.6693611Z Test that class types module attributes that fail to script ... ok (0.248s)
2022-11-23T02:10:37.6694027Z   test_reference_semantics (jit.test_class_type.TestClassType)
2022-11-23T02:10:37.6694470Z Test that modifications made to a class instance in TorchScript ... ok (0.029s)
2022-11-23T02:10:37.6694895Z   test_save_load_with_classes (jit.test_class_type.TestClassType) ... ok (0.030s)
2022-11-23T02:10:37.6695348Z   test_save_load_with_classes_nested (jit.test_class_type.TestClassType) ... ok (0.073s)
2022-11-23T02:10:37.6695896Z   test_save_load_with_classes_returned (jit.test_class_type.TestClassType) ... ok (0.032s)
2022-11-23T02:10:37.6696900Z   test_schema_human_readable (jit.test_class_type.TestClassType)
2022-11-23T02:10:37.6697425Z Make sure that the schema is human readable, ie the mode parameter should read "nearest" instead of being displayed in octal ... ok (0.359s)
2022-11-23T02:10:37.6697924Z   test_self_referential_method (jit.test_class_type.TestClassType)
2022-11-23T02:10:37.6698367Z Test that a scripted class can have a method that refers to the class itself ... ok (0.043s)
2022-11-23T02:10:37.6698786Z   test_set_attr_in_method (jit.test_class_type.TestClassType) ... ok (0.027s)
2022-11-23T02:10:37.6699229Z   test_set_attr_non_initialized (jit.test_class_type.TestClassType) ... ok (0.190s)
2022-11-23T02:10:37.6699672Z   test_set_attr_type_mismatch (jit.test_class_type.TestClassType) ... ok (0.019s)
2022-11-23T02:10:37.6700056Z   test_staticmethod (jit.test_class_type.TestClassType)
2022-11-23T02:10:37.6700429Z Test static methods on class types. ... ok (0.055s)
2022-11-23T02:10:37.6700803Z   test_type_annotation (jit.test_class_type.TestClassType)
2022-11-23T02:10:37.6701203Z Test that annotating container attributes with types works correctly ... ok (0.034s)
2022-11-23T02:10:37.6701649Z   test_type_annotations (jit.test_class_type.TestClassType) ... ok (0.021s)
2022-11-23T02:10:37.6702090Z   test_unresolved_class_attributes (jit.test_class_type.TestClassType) ... ok (0.037s)
2022-11-23T02:10:37.6702511Z   test_unused_method (jit.test_class_type.TestClassType)
2022-11-23T02:10:37.6702864Z Test unused methods on scripted classes. ... ok (0.043s)
2022-11-23T02:10:37.6703275Z   test_binary_op_complex_tensor (jit.test_complex.TestComplex) ... ok (0.034s)
2022-11-23T02:10:37.6703697Z   test_comparison_ops (jit.test_complex.TestComplex) ... ok (0.025s)
2022-11-23T02:10:37.6704103Z   test_complex_constants_and_ops (jit.test_complex.TestComplex) ... ok (0.751s)
2022-11-23T02:10:37.6704537Z   test_complex_constructor (jit.test_complex.TestComplex) ... ok (0.086s)
2022-11-23T02:10:37.6704959Z   test_complex_list_sum (jit.test_complex.TestComplex) ... ok (0.007s)
2022-11-23T02:10:37.6705368Z   test_complex_parse (jit.test_complex.TestComplex) ... ok (0.013s)
2022-11-23T02:10:37.6705762Z   test_complexdict (jit.test_complex.TestComplex) ... ok (0.007s)
2022-11-23T02:10:37.6706163Z   test_complexlist (jit.test_complex.TestComplex) ... ok (0.007s)
2022-11-23T02:10:37.6706552Z   test_div (jit.test_complex.TestComplex) ... ok (0.006s)
2022-11-23T02:10:37.6706973Z   test_infj_nanj_pickle (jit.test_complex.TestComplex) ... ok (0.013s)
2022-11-23T02:10:37.6707613Z   test_pickle (jit.test_complex.TestComplex) ... ok (0.012s)
2022-11-23T02:10:37.6708003Z   test_script (jit.test_complex.TestComplex) ... ok (0.005s)
2022-11-23T02:10:37.6708382Z   test_tensor_attributes (jit.test_complex.TestComplex) ... ok (0.014s)
2022-11-23T02:10:37.6708838Z   test_torch_complex_constructor_with_tensor (jit.test_complex.TestComplex) ... ok (0.069s)
2022-11-23T02:10:37.6709343Z   test_calling_scripted_custom_op (jit.test_custom_operators.TestCustomOperators) ... ok (0.005s)
2022-11-23T02:10:37.6709856Z   test_calling_traced_custom_op (jit.test_custom_operators.TestCustomOperators) ... ok (0.009s)
2022-11-23T02:10:37.6710350Z   test_default_arguments_are_used (jit.test_custom_operators.TestCustomOperators) ... ok (0.002s)
2022-11-23T02:10:37.6710851Z   test_dynamic_op_registry (jit.test_custom_operators.TestCustomOperators) ... ok (0.002s)
2022-11-23T02:10:37.6711338Z   test_generic_list (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s)
2022-11-23T02:10:37.6711833Z   test_passing_and_returning_lists (jit.test_custom_operators.TestCustomOperators) ... ok (0.002s)
2022-11-23T02:10:37.6712355Z   test_passing_one_positional_but_not_the_second (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s)
2022-11-23T02:10:37.6712903Z   test_passing_too_few_args (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s)
2022-11-23T02:10:37.6713492Z   test_passing_too_many_args (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s)
2022-11-23T02:10:37.6713978Z   test_passing_unknown_kwargs (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s)
2022-11-23T02:10:37.6714496Z   test_script_graph_contains_custom_op (jit.test_custom_operators.TestCustomOperators) ... ok (0.004s)
2022-11-23T02:10:37.6715140Z   test_script_graph_for_custom_ops_matches_traced_graph (jit.test_custom_operators.TestCustomOperators) ... skip: Need to figure out default dtype differences between fbcode and oss (0.001s)
2022-11-23T02:10:37.6715761Z   test_simply_calling_an_operator (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s)
2022-11-23T02:10:37.6716237Z   test_where_no_scalar (jit.test_custom_operators.TestCustomOperators) ... ok (0.005s)
2022-11-23T02:10:37.6716677Z   test_setattr_no_aliasdb (jit.test_dce.TestDCE) ... ok (0.008s)
2022-11-23T02:10:37.6717052Z   test_setattr_removed (jit.test_dce.TestDCE) ... ok (0.014s)
2022-11-23T02:10:37.6717772Z   test_python_submodule_script (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.001s)
2022-11-23T02:10:37.6718404Z   test_shared_module (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.000s)
2022-11-23T02:10:37.6719038Z   test_tensor_sharing (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.001s)
2022-11-23T02:10:37.6719708Z   test_tensor_sharing_with_forward (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.001s)
2022-11-23T02:10:37.6720335Z   test_traced_module (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.001s)
2022-11-23T02:10:37.6720823Z   test__post_init__ (jit.test_dataclasses.TestDataclasses) ... ok (4.985s)
2022-11-23T02:10:37.6721271Z   test_comparators (jit.test_dataclasses.TestDataclasses) ... ok (11.446s)
2022-11-23T02:10:37.6721715Z   test_custom__eq__ (jit.test_dataclasses.TestDataclasses) ... ok (0.020s)
2022-11-23T02:10:37.6722139Z   test_default_factories (jit.test_dataclasses.TestDataclasses) ... ok (0.005s)
2022-11-23T02:10:37.6722587Z   test_init_vars (jit.test_dataclasses.TestDataclasses) ... ok (0.125s)
2022-11-23T02:10:37.6723020Z   test_no_source (jit.test_dataclasses.TestDataclasses) ... ok (0.027s)
2022-11-23T02:10:37.6723463Z   test_use_unregistered_dataclass_raises (jit.test_dataclasses.TestDataclasses) ... ok (0.003s)
2022-11-23T02:10:37.6723956Z   test_custom_device_op (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.014s)
2022-11-23T02:10:37.6724417Z   test_device_apply (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.004s)
2022-11-23T02:10:37.6724989Z   test_device_arg (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.006s)
2022-11-23T02:10:37.6725436Z   test_device_if_propagation (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.007s)
2022-11-23T02:10:37.6725910Z   test_if_loop_mix (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.008s)
2022-11-23T02:10:37.6726374Z   test_loop_device_change (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.006s)
2022-11-23T02:10:37.6726822Z   test_loop_simple (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.006s)
2022-11-23T02:10:37.6727272Z   test_mobilenet (jit.test_device_analysis.TestDeviceAnalysis) ... ok (5.709s)
2022-11-23T02:10:37.6727730Z   test_nested_loops (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.012s)
2022-11-23T02:10:37.6728183Z   test_set_dtype (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.006s)
2022-11-23T02:10:37.6728611Z   test_simple (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.010s)
2022-11-23T02:10:37.6729065Z   test_tensor_as_fns (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.019s)
2022-11-23T02:10:37.6729530Z   test_while_change (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.007s)
2022-11-23T02:10:37.6729960Z   test_zerodim_cpu (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.022s)
2022-11-23T02:10:37.6730420Z   test_zerodim_gpu (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.089s)
2022-11-23T02:10:37.6730965Z   test_zerodim_no_device (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.041s)
2022-11-23T02:10:37.6731412Z   test_aug_assign (jit.test_list_dict.TestDict) ... ok (0.035s)
2022-11-23T02:10:37.6731765Z   test_basic (jit.test_list_dict.TestDict) ... ok (0.039s)
2022-11-23T02:10:37.6732141Z   test_clear (jit.test_list_dict.TestDict) ... ok (0.007s)
2022-11-23T02:10:37.6732502Z   test_copy (jit.test_list_dict.TestDict) ... ok (0.010s)
2022-11-23T02:10:37.6732840Z   test_del (jit.test_list_dict.TestDict) ... ok (0.013s)
2022-11-23T02:10:37.6733230Z   test_dict_bool_conversion (jit.test_list_dict.TestDict) ... ok (0.045s)
2022-11-23T02:10:37.6733651Z   test_dict_preserves_order (jit.test_list_dict.TestDict) ... ok (0.126s)
2022-11-23T02:10:37.6734052Z   test_dict_to_python (jit.test_list_dict.TestDict) ... ok (0.009s)
2022-11-23T02:10:37.6734406Z   test_dict_variance (jit.test_list_dict.TestDict)
2022-11-23T02:10:37.6734855Z `Dict[T1, _]` is not a subtype of `Dict[T2, _]`, even if `T1` is ... ok (0.022s)
2022-11-23T02:10:37.6735234Z   test_get (jit.test_list_dict.TestDict) ... ok (0.017s)
2022-11-23T02:10:37.6735583Z   test_get_boolkey (jit.test_list_dict.TestDict) ... ok (0.018s)
2022-11-23T02:10:37.6735951Z   test_items (jit.test_list_dict.TestDict) ... ok (0.006s)
2022-11-23T02:10:37.6736974Z   test_key_type (jit.test_list_dict.TestDict) ... ok (0.003s)
2022-11-23T02:10:37.6737323Z   test_keys (jit.test_list_dict.TestDict) ... ok (0.011s)
2022-11-23T02:10:37.6737683Z   test_len (jit.test_list_dict.TestDict) ... ok (0.007s)
2022-11-23T02:10:37.6738042Z   test_loop (jit.test_list_dict.TestDict) ... ok (0.006s)
2022-11-23T02:10:37.6738430Z   test_membership (jit.test_list_dict.TestDict) ... ok (0.016s)
2022-11-23T02:10:37.6738789Z   test_mutability (jit.test_list_dict.TestDict) ... ok (0.006s)
2022-11-23T02:10:37.6739185Z   test_optional_dict_construct (jit.test_list_dict.TestDict) ... ok (0.021s)
2022-11-23T02:10:37.6739584Z   test_ordered_dict (jit.test_list_dict.TestDict) ... ok (0.026s)
2022-11-23T02:10:37.6739938Z   test_pop (jit.test_list_dict.TestDict) ... ok (0.019s)
2022-11-23T02:10:37.6740307Z   test_popitem (jit.test_list_dict.TestDict) ... ok (0.006s)
2022-11-23T02:10:37.6740680Z   test_setdefault (jit.test_list_dict.TestDict) ... ok (0.016s)
2022-11-23T02:10:37.6741063Z   test_type_annotation_missing_contained_type (jit.test_list_dict.TestDict)
2022-11-23T02:10:37.6741498Z Test that the use of a Dict type annotation without contained ... ok (0.004s)
2022-11-23T02:10:37.6741896Z   test_update (jit.test_list_dict.TestDict) ... ok (0.021s)
2022-11-23T02:10:37.6742290Z   test_update_existing_key (jit.test_list_dict.TestDict) ... ok (0.010s)
2022-11-23T02:10:37.6742880Z   test_values (jit.test_list_dict.TestDict) ... ok (0.005s)
2022-11-23T02:10:37.6743238Z   test_view (jit.test_list_dict.TestDict) ... ok (0.098s)
2022-11-23T02:10:37.6743646Z   test_binary_scalar (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.017s)
2022-11-23T02:10:37.6744832Z   test_binary_tensors (jit.test_dtype_analysis.TestDtypeAnalysis) ... /var/lib/jenkins/workspace/test/jit/test_dtype_analysis.py:165: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T02:10:37.6745536Z   rand_tensor = torch.rand(shape, dtype=dtype)
2022-11-23T02:10:37.6745828Z ok (0.143s)
2022-11-23T02:10:37.6746181Z   test_combined (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.015s)
2022-11-23T02:10:37.6746613Z   test_conv_no_mixed_args (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.021s)
2022-11-23T02:10:37.6747088Z   test_custom_rules (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.026s)
2022-11-23T02:10:37.6747528Z   test_unary (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.049s)
2022-11-23T02:10:37.6747925Z   test_closed_over_enum_constant (jit.test_enum.TestEnum) ... ok (0.017s)
2022-11-23T02:10:37.6748316Z   test_enum_as_const (jit.test_enum.TestEnum) ... ok (0.014s)
2022-11-23T02:10:37.6748923Z   test_enum_as_module_attribute (jit.test_enum.TestEnum) ... ok (0.017s)
2022-11-23T02:10:37.6749331Z   test_enum_comp (jit.test_enum.TestEnum) ... ok (0.013s)
2022-11-23T02:10:37.6749692Z   test_enum_comp_diff_classes (jit.test_enum.TestEnum) ... ok (0.020s)
2022-11-23T02:10:37.6750095Z   test_enum_explicit_script (jit.test_enum.TestEnum) ... ok (0.001s)
2022-11-23T02:10:37.6750482Z   test_enum_iterate (jit.test_enum.TestEnum) ... ok (0.018s)
2022-11-23T02:10:37.6750835Z   test_enum_ivalue_type (jit.test_enum.TestEnum) ... ok (0.013s)
2022-11-23T02:10:37.6751218Z   test_enum_module_return (jit.test_enum.TestEnum) ... ok (0.017s)
2022-11-23T02:10:37.6751607Z   test_enum_name (jit.test_enum.TestEnum) ... ok (0.013s)
2022-11-23T02:10:37.6751949Z   test_enum_return (jit.test_enum.TestEnum) ... ok (0.015s)
2022-11-23T02:10:37.6752315Z   test_enum_value (jit.test_enum.TestEnum) ... ok (0.013s)
2022-11-23T02:10:37.6752688Z   test_enum_value_types (jit.test_enum.TestEnum) ... ok (0.039s)
2022-11-23T02:10:37.6753110Z   test_heterogenous_value_type_enum_error (jit.test_enum.TestEnum) ... ok (0.010s)
2022-11-23T02:10:37.6753510Z   test_non_existent_enum_value (jit.test_enum.TestEnum) ... ok (0.011s)
2022-11-23T02:10:37.6753935Z   test_string_enum_as_module_attribute (jit.test_enum.TestEnum) ... ok (0.016s)
2022-11-23T02:10:37.6754397Z   test_freeze_interface_swapping_two_methods (jit.test_freezing.TestFreezing) ... ok (0.291s)
2022-11-23T02:10:37.6754872Z   test_freeze_interface_within_object (jit.test_freezing.TestFreezing) ... expected failure (0.065s)
2022-11-23T02:10:37.6755326Z   test_freeze_module (jit.test_freezing.TestFreezing) ... ok (0.023s)
2022-11-23T02:10:37.6755766Z   test_freeze_module_detach_gradient (jit.test_freezing.TestFreezing) ... ok (0.020s)
2022-11-23T02:10:37.6756236Z   test_freeze_module_in_training_mode (jit.test_freezing.TestFreezing) ... ok (0.343s)
2022-11-23T02:10:37.6756657Z   test_freeze_module_inlining (jit.test_freezing.TestFreezing) ... ok (0.063s)
2022-11-23T02:10:37.6757103Z   test_freeze_module_no_forward (jit.test_freezing.TestFreezing) ... ok (0.018s)
2022-11-23T02:10:37.6757544Z   test_freeze_module_return_self (jit.test_freezing.TestFreezing) ... ok (0.011s)
2022-11-23T02:10:37.6757970Z   test_freeze_module_return_sub_module (jit.test_freezing.TestFreezing) ... ok (0.024s)
2022-11-23T02:10:37.6758436Z   test_freeze_module_with_aliased_attr (jit.test_freezing.TestFreezing) ... ok (0.012s)
2022-11-23T02:10:37.6758902Z   test_freeze_module_with_aliased_attr2 (jit.test_freezing.TestFreezing) ... ok (0.012s)
2022-11-23T02:10:37.6759375Z   test_freeze_module_with_aliased_attr3 (jit.test_freezing.TestFreezing) ... ok (0.011s)
2022-11-23T02:10:37.6759933Z   test_freeze_module_with_aliased_tensor_attr (jit.test_freezing.TestFreezing) ... ok (0.011s)
2022-11-23T02:10:37.6760415Z   test_freeze_module_with_aliased_tensor_attr2 (jit.test_freezing.TestFreezing) ... ok (0.016s)
2022-11-23T02:10:37.6760902Z   test_freeze_module_with_aliased_tensor_attr3 (jit.test_freezing.TestFreezing) ... ok (0.012s)
2022-11-23T02:10:37.6761371Z   test_freeze_module_with_aliased_tensor_attr4 (jit.test_freezing.TestFreezing) ... ok (0.015s)
2022-11-23T02:10:37.6761815Z   test_freeze_module_with_call_method (jit.test_freezing.TestFreezing) ... ok (0.011s)
2022-11-23T02:10:37.6762257Z   test_freeze_module_with_fork (jit.test_freezing.TestFreezing) ... ok (0.022s)
2022-11-23T02:10:37.6762702Z   test_freeze_module_with_fork2 (jit.test_freezing.TestFreezing) ... ok (0.018s)
2022-11-23T02:10:37.6763152Z   test_freeze_module_with_fork_calling_module_method (jit.test_freezing.TestFreezing) ... ok (0.020s)
2022-11-23T02:10:37.6763646Z   test_freeze_module_with_helperfunction (jit.test_freezing.TestFreezing) ... ok (0.019s)
2022-11-23T02:10:37.6764122Z   test_freeze_module_with_inplace_mutable (jit.test_freezing.TestFreezing) ... ok (0.012s)
2022-11-23T02:10:37.6764580Z   test_freeze_module_with_list (jit.test_freezing.TestFreezing) ... ok (0.012s)
2022-11-23T02:10:37.6765124Z   test_freeze_module_with_mutable_dict (jit.test_freezing.TestFreezing) ... ok (0.013s)
2022-11-23T02:10:37.6765593Z   test_freeze_module_with_mutable_list (jit.test_freezing.TestFreezing) ... ok (0.008s)
2022-11-23T02:10:37.6766050Z   test_freeze_module_with_mutable_tensor (jit.test_freezing.TestFreezing) ... ok (0.009s)
2022-11-23T02:10:37.6766485Z   test_freeze_module_with_nested_fork (jit.test_freezing.TestFreezing) ... ok (0.037s)
2022-11-23T02:10:37.6766947Z   test_freeze_module_with_nestedaliasing (jit.test_freezing.TestFreezing) ... ok (0.040s)
2022-11-23T02:10:37.6767436Z   test_freeze_module_with_nestedaliasingscalar (jit.test_freezing.TestFreezing) ... ok (0.033s)
2022-11-23T02:10:37.6767943Z   test_freeze_module_with_non_static_module_container_index (jit.test_freezing.TestFreezing)
2022-11-23T02:10:37.6768570Z Test that Modules containing non-static ModuleDict or ModuleList ... ok (0.285s)
2022-11-23T02:10:37.6769036Z   test_freeze_module_with_overlapping_attrs (jit.test_freezing.TestFreezing) ... ok (0.015s)
2022-11-23T02:10:37.6769528Z   test_freeze_module_with_preserve_sub_module (jit.test_freezing.TestFreezing) ... ok (0.021s)
2022-11-23T02:10:37.6770008Z   test_freeze_module_with_preserve_sub_module_and_mutation (jit.test_freezing.TestFreezing) ... ok (0.024s)
2022-11-23T02:10:37.6770513Z   test_freeze_module_with_sharedclasstype (jit.test_freezing.TestFreezing) ... ok (0.042s)
2022-11-23T02:10:37.6770979Z   test_freeze_module_with_submodule (jit.test_freezing.TestFreezing) ... ok (0.027s)
2022-11-23T02:10:37.6771435Z   test_freeze_module_with_tensor (jit.test_freezing.TestFreezing) ... ok (0.013s)
2022-11-23T02:10:37.6771860Z   test_freeze_module_with_tuple (jit.test_freezing.TestFreezing) ... ok (0.014s)
2022-11-23T02:10:37.6772331Z   test_freeze_module_with_tupleoutput_submodule (jit.test_freezing.TestFreezing) ... ok (0.017s)
2022-11-23T02:10:37.6772820Z   test_freeze_module_with_user_preserved_attr (jit.test_freezing.TestFreezing) ... ok (0.009s)
2022-11-23T02:10:37.6773350Z   test_freeze_module_with_user_preserved_attribute_on_submodule (jit.test_freezing.TestFreezing) ... ok (0.020s)
2022-11-23T02:10:37.6773867Z   test_freeze_module_with_user_preserved_attribute_on_unused_submodule (jit.test_freezing.TestFreezing) ... ok (0.016s)
2022-11-23T02:10:37.6774388Z   test_freeze_module_with_user_preserved_method (jit.test_freezing.TestFreezing) ... ok (0.014s)
2022-11-23T02:10:37.6774871Z   test_freeze_module_with_user_preserved_method2 (jit.test_freezing.TestFreezing) ... ok (0.012s)
2022-11-23T02:10:37.6775362Z   test_freeze_module_with_user_preserved_method_on_submodule (jit.test_freezing.TestFreezing) ... ok (0.019s)
2022-11-23T02:10:37.6775986Z   test_freeze_no_forward (jit.test_freezing.TestFreezing) ... ok (0.018s)
2022-11-23T02:10:37.6777061Z   test_freeze_non_interface_module_swap (jit.test_freezing.TestFreezing) ... ok (0.026s)
2022-11-23T02:10:37.6777532Z   test_freeze_non_module_class_getattr (jit.test_freezing.TestFreezing) ... ok (0.073s)
2022-11-23T02:10:37.6777976Z   test_freeze_recursive_interfaces (jit.test_freezing.TestFreezing) ... ok (0.315s)
2022-11-23T02:10:37.6778442Z   test_freeze_recursive_interfaces_same_name (jit.test_freezing.TestFreezing) ... ok (0.147s)
2022-11-23T02:10:37.6778932Z   test_freeze_recursive_interfaces_with_reassignment (jit.test_freezing.TestFreezing) ... ok (0.327s)
2022-11-23T02:10:37.6779410Z   test_freeze_with_interface_mutable (jit.test_freezing.TestFreezing) ... ok (0.074s)
2022-11-23T02:10:37.6779846Z   test_freeze_with_swapping_interfaces (jit.test_freezing.TestFreezing) ... ok (0.261s)
2022-11-23T02:10:37.6780313Z   test_module_getattr_indirection (jit.test_freezing.TestFreezing) ... ok (0.067s)
2022-11-23T02:10:37.6780776Z   test_module_with_shared_type_instances (jit.test_freezing.TestFreezing) ... ok (0.144s)
2022-11-23T02:10:37.6781221Z   test_dictionary_as_example_inputs_for_jit_trace (__main__.TestFrontend) ... ok (0.114s)
2022-11-23T02:10:37.6781632Z   test_instancing_error (__main__.TestFrontend) ... ok (0.617s)
2022-11-23T02:10:37.6782292Z   test_collapse_adjacent_conversions (jit.test_freezing.TestFrozenOptimizations) ... ok (0.024s)
2022-11-23T02:10:37.6782828Z   test_conv_add_folding (jit.test_freezing.TestFrozenOptimizations) ... ok (2.246s)
2022-11-23T02:10:37.6783284Z   test_conv_bn_folding (jit.test_freezing.TestFrozenOptimizations) ... ok (0.607s)
2022-11-23T02:10:37.6783798Z   test_conv_bn_folding_autocast_scenario_cuda (jit.test_freezing.TestFrozenOptimizations) ... ok (1.333s)
2022-11-23T02:10:37.6784329Z   test_conv_bn_folding_not_forward (jit.test_freezing.TestFrozenOptimizations) ... ok (0.020s)
2022-11-23T02:10:37.6784795Z   test_conv_hardswish (jit.test_freezing.TestFrozenOptimizations) ... ok (2.126s)
2022-11-23T02:10:37.6785270Z   test_conv_mul_add_bn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.061s)
2022-11-23T02:10:37.6785745Z   test_conv_to_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.074s)
2022-11-23T02:10:37.6786252Z   test_conv_to_mkldnn_no_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... skip: Testing no mkldnn (0.001s)
2022-11-23T02:10:37.6786755Z   test_freeze_conv_relu_fusion (jit.test_freezing.TestFrozenOptimizations) ... ok (0.398s)
2022-11-23T02:10:37.6787273Z   test_freeze_conv_relu_fusion_not_forward (jit.test_freezing.TestFrozenOptimizations) ... ok (0.023s)
2022-11-23T02:10:37.6787772Z   test_freeze_mkdlnn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.011s)
2022-11-23T02:10:37.6788230Z   test_freeze_remove_dropout (jit.test_freezing.TestFrozenOptimizations) ... ok (0.010s)
2022-11-23T02:10:37.6788732Z   test_freeze_remove_feature_dropout (jit.test_freezing.TestFrozenOptimizations) ... ok (0.011s)
2022-11-23T02:10:37.6789242Z   test_hardswish_hardsigmoid (jit.test_freezing.TestFrozenOptimizations) ... ok (0.013s)
2022-11-23T02:10:37.6789751Z   test_incompatible_perf_formats (jit.test_freezing.TestFrozenOptimizations) ... ok (0.155s)
2022-11-23T02:10:37.6790214Z   test_linear_concat (jit.test_freezing.TestFrozenOptimizations) ... ok (0.034s)
2022-11-23T02:10:37.6790697Z   test_linear_concat_complex (jit.test_freezing.TestFrozenOptimizations)
2022-11-23T02:10:37.6791158Z Testing that the interleaving of multiple optimizations does not ... ok (0.020s)
2022-11-23T02:10:37.6791597Z   test_linear_concat_different_input (jit.test_freezing.TestFrozenOptimizations)
2022-11-23T02:10:37.6792072Z There should be no change to the graph due to the optimization pass ... ok (0.018s)
2022-11-23T02:10:37.6792551Z   test_linear_multiple_blocks (jit.test_freezing.TestFrozenOptimizations) ... ok (0.024s)
2022-11-23T02:10:37.6793067Z   test_linear_non_constant_weight (jit.test_freezing.TestFrozenOptimizations) ... ok (0.007s)
2022-11-23T02:10:37.6793717Z   test_linear_transpose (jit.test_freezing.TestFrozenOptimizations) ... ok (0.007s)
2022-11-23T02:10:37.6794200Z   test_maxpool_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.272s)
2022-11-23T02:10:37.6794690Z   test_mkldnn_fuser_broadcasting (jit.test_freezing.TestFrozenOptimizations) ... ok (0.038s)
2022-11-23T02:10:37.6795202Z   test_mkldnn_inplace_removal (jit.test_freezing.TestFrozenOptimizations) ... ok (0.021s)
2022-11-23T02:10:37.6795695Z   test_numel_less_than_size_with_padding (jit.test_freezing.TestFrozenOptimizations) ... ok (0.026s)
2022-11-23T02:10:37.6796211Z   test_optimize_freeze_module (jit.test_freezing.TestFrozenOptimizations) ... ok (0.033s)
2022-11-23T02:10:37.6796766Z   test_pool2d_batchnorm (jit.test_freezing.TestFrozenOptimizations) ... ok (0.322s)
2022-11-23T02:10:37.6797228Z   test_pool3d_batchnorm (jit.test_freezing.TestFrozenOptimizations) ... ok (0.819s)
2022-11-23T02:10:37.6797714Z   test_remove_detach (jit.test_freezing.TestFrozenOptimizations) ... ok (0.006s)
2022-11-23T02:10:37.6798205Z   test_remove_detach_not_applied (jit.test_freezing.TestFrozenOptimizations) ... ok (0.005s)
2022-11-23T02:10:37.6798705Z   test_scalar_mul (jit.test_freezing.TestFrozenOptimizations) ... ok (0.043s)
2022-11-23T02:10:37.6799160Z   test_subgraph_creation (jit.test_functional_blocks.TestFunctionalBlocks) ... ok (0.093s)
2022-11-23T02:10:37.6799795Z   test_check_no_type_promotion (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (0.294s)
2022-11-23T02:10:37.6800430Z   test_functional_to_inplace_activation (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (0.110s)
2022-11-23T02:10:37.6801015Z   test_no_functional_to_inplace (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (0.017s)
2022-11-23T02:10:37.6801616Z   test_resnet18_correctness (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (6.144s)
2022-11-23T02:10:37.6802133Z   test_getattr_with_default (jit.test_attr.TestGetDefaultAttr) ... ok (0.010s)
2022-11-23T02:10:37.6802609Z   test_fuse_linear (jit.test_graph_rewrite_passes.TestGraphRewritePasses) ... ok (0.068s)
2022-11-23T02:10:37.6803017Z   test_hash_bool (jit.test_hash.TestHash) ... ok (0.012s)
2022-11-23T02:10:37.6803383Z   test_hash_device (jit.test_hash.TestHash) ... ok (0.012s)
2022-11-23T02:10:37.6803755Z   test_hash_float (jit.test_hash.TestHash) ... ok (0.015s)
2022-11-23T02:10:37.6804093Z   test_hash_int (jit.test_hash.TestHash) ... ok (0.013s)
2022-11-23T02:10:37.6804460Z   test_hash_none (jit.test_hash.TestHash) ... ok (0.005s)
2022-11-23T02:10:37.6804816Z   test_hash_string (jit.test_hash.TestHash) ... ok (0.011s)
2022-11-23T02:10:37.6805173Z   test_hash_tensor (jit.test_hash.TestHash)
2022-11-23T02:10:37.6805484Z Tensors should hash by identity ... ok (0.010s)
2022-11-23T02:10:37.6805840Z   test_hash_tuple (jit.test_hash.TestHash) ... ok (0.012s)
2022-11-23T02:10:37.6806242Z   test_hash_tuple_nested_unhashable_type (jit.test_hash.TestHash) ... ok (0.006s)
2022-11-23T02:10:37.6806648Z   test_forward_tuple_input (jit.test_hooks.TestHooks) ... ok (0.032s)
2022-11-23T02:10:37.6807063Z   test_hook_compilation_hint (jit.test_hooks.TestHooks) ... skip:  (0.001s)
2022-11-23T02:10:37.6807480Z   test_hook_hook_name_collision (jit.test_hooks.TestHooks) ... ok (0.014s)
2022-11-23T02:10:37.6807876Z   test_hook_method_name_collision (jit.test_hooks.TestHooks) ... ok (0.012s)
2022-11-23T02:10:37.6808324Z   test_module_direct_forward_invocation (jit.test_hooks.TestHooks) ... ok (0.022s)
2022-11-23T02:10:37.6808768Z   test_module_forward_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.042s)
2022-11-23T02:10:37.6809194Z   test_module_forward_single_input (jit.test_hooks.TestHooks) ... ok (0.037s)
2022-11-23T02:10:37.6809599Z   test_module_hook_return_nothing (jit.test_hooks.TestHooks) ... ok (0.035s)
2022-11-23T02:10:37.6810042Z   test_module_multiple_hooks_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.060s)
2022-11-23T02:10:37.6810490Z   test_module_multiple_hooks_single_input (jit.test_hooks.TestHooks) ... ok (0.053s)
2022-11-23T02:10:37.6811041Z   test_module_no_forward_input (jit.test_hooks.TestHooks) ... ok (0.030s)
2022-11-23T02:10:37.6811466Z   test_module_same_hook_repeated (jit.test_hooks.TestHooks) ... ok (0.039s)
2022-11-23T02:10:37.6811901Z   test_submodule_called_directly_with_hooks (jit.test_hooks.TestHooks) ... ok (0.025s)
2022-11-23T02:10:37.6812356Z   test_submodule_direct_forward_invocation (jit.test_hooks.TestHooks) ... ok (0.037s)
2022-11-23T02:10:37.6812787Z   test_submodule_forward_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.045s)
2022-11-23T02:10:37.6813225Z   test_submodule_forward_single_input (jit.test_hooks.TestHooks) ... ok (0.040s)
2022-11-23T02:10:37.6813684Z   test_submodule_forward_single_input_return_not_tupled (jit.test_hooks.TestHooks) ... ok (0.039s)
2022-11-23T02:10:37.6814113Z   test_submodule_hook_return_nothing (jit.test_hooks.TestHooks) ... ok (0.038s)
2022-11-23T02:10:37.6814557Z   test_submodule_multiple_hooks_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.062s)
2022-11-23T02:10:37.6815019Z   test_submodule_multiple_hooks_single_input (jit.test_hooks.TestHooks) ... ok (0.055s)
2022-11-23T02:10:37.6815477Z   test_submodule_no_forward_input (jit.test_hooks.TestHooks) ... ok (0.031s)
2022-11-23T02:10:37.6815947Z   test_submodule_same_hook_repeated (jit.test_hooks.TestHooks) ... ok (0.044s)
2022-11-23T02:10:37.6817200Z   test_wrong_hook_signatures (jit.test_hooks.TestHooks) ... ok (0.059s)
2022-11-23T02:10:37.6817634Z   test_wrong_pre_hook_signatures (jit.test_hooks.TestHooks) ... ok (0.071s)
2022-11-23T02:10:37.6818058Z   test_add_out_ignorable_args (jit.test_ignorable_args.TestIgnorableArgs) ... ok (0.005s)
2022-11-23T02:10:37.6818538Z   test_slice_ignorable_args_for_slice (jit.test_ignorable_args.TestIgnorableArgs) ... ok (0.007s)
2022-11-23T02:10:37.6819076Z   test_with_ignore_context_manager_with_inp_out (jit.test_ignore_context_manager.TestIgnoreContextManager) ... ok (0.025s)
2022-11-23T02:10:37.6819653Z   test_with_ignore_context_manager_with_just_inp (jit.test_ignore_context_manager.TestIgnoreContextManager) ... ok (0.008s)
2022-11-23T02:10:37.6820215Z   test_with_ignore_context_manager_with_just_out (jit.test_ignore_context_manager.TestIgnoreContextManager) ... ok (0.009s)
2022-11-23T02:10:37.6820804Z   test_inplace_to_functional_activation (jit.test_convert_activation.TestInplaceToFunctionalActivation) ... ok (0.081s)
2022-11-23T02:10:37.6821423Z   test_resnet18_correctness (jit.test_convert_activation.TestInplaceToFunctionalActivation) ... ok (6.523s)
2022-11-23T02:10:37.6821922Z   test_bool (jit.test_isinstance.TestIsinstance) ... ok (0.024s)
2022-11-23T02:10:37.6822304Z   test_dict (jit.test_isinstance.TestIsinstance) ... ok (0.011s)
2022-11-23T02:10:37.6822722Z   test_dict_nested (jit.test_isinstance.TestIsinstance) ... ok (0.011s)
2022-11-23T02:10:37.6823164Z   test_dict_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.003s)
2022-11-23T02:10:37.6823580Z   test_dict_tensor (jit.test_isinstance.TestIsinstance) ... ok (0.009s)
2022-11-23T02:10:37.6824046Z   test_empty_container_special_cases (jit.test_isinstance.TestIsinstance) ... ok (0.001s)
2022-11-23T02:10:37.6824533Z   test_empty_container_throws_warning_in_eager (jit.test_isinstance.TestIsinstance) ... ok (0.001s)
2022-11-23T02:10:37.6824984Z   test_float (jit.test_isinstance.TestIsinstance) ... ok (0.008s)
2022-11-23T02:10:37.6825373Z   test_if_else (jit.test_isinstance.TestIsinstance) ... ok (0.009s)
2022-11-23T02:10:37.6825782Z   test_in_if (jit.test_isinstance.TestIsinstance) ... ok (0.011s)
2022-11-23T02:10:37.6826198Z   test_in_while_loop (jit.test_isinstance.TestIsinstance) ... ok (0.014s)
2022-11-23T02:10:37.6826585Z   test_int (jit.test_isinstance.TestIsinstance) ... ok (0.009s)
2022-11-23T02:10:37.6826985Z   test_list (jit.test_isinstance.TestIsinstance) ... ok (0.010s)
2022-11-23T02:10:37.6827402Z   test_list_nested (jit.test_isinstance.TestIsinstance) ... ok (0.011s)
2022-11-23T02:10:37.6827849Z   test_list_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.003s)
2022-11-23T02:10:37.6828452Z   test_list_tensor (jit.test_isinstance.TestIsinstance) ... ok (0.009s)
2022-11-23T02:10:37.6828885Z   test_list_tensor_type_true (jit.test_isinstance.TestIsinstance) ... ok (0.008s)
2022-11-23T02:10:37.6829366Z   test_nontuple_container_rhs_throws_in_eager (jit.test_isinstance.TestIsinstance) ... ok (0.002s)
2022-11-23T02:10:37.6829807Z   test_optional (jit.test_isinstance.TestIsinstance) ... ok (0.011s)
2022-11-23T02:10:37.6830246Z   test_optional_nested (jit.test_isinstance.TestIsinstance) ... ok (0.008s)
2022-11-23T02:10:37.6830700Z   test_optional_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.003s)
2022-11-23T02:10:37.6831154Z   test_optional_none (jit.test_isinstance.TestIsinstance) ... ok (0.008s)
2022-11-23T02:10:37.6831564Z   test_tensor_type_false (jit.test_isinstance.TestIsinstance) ... ok (0.008s)
2022-11-23T02:10:37.6831974Z   test_tuple (jit.test_isinstance.TestIsinstance) ... ok (0.010s)
2022-11-23T02:10:37.6832387Z   test_tuple_nested (jit.test_isinstance.TestIsinstance) ... ok (0.013s)
2022-11-23T02:10:37.6832806Z   test_tuple_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.003s)
2022-11-23T02:10:37.6833231Z   test_tuple_rhs (jit.test_isinstance.TestIsinstance) ... ok (0.013s)
2022-11-23T02:10:37.6833641Z   test_tuple_tensor (jit.test_isinstance.TestIsinstance) ... ok (0.008s)
2022-11-23T02:10:37.6834123Z   test_type_refinement (jit.test_isinstance.TestIsinstance) ... ok (0.030s)
2022-11-23T02:10:37.6834520Z   test_ModuleList (__main__.TestJit) ... ok (0.093s)
2022-11-23T02:10:37.6834849Z   test_Sequential (__main__.TestJit) ... ok (0.042s)
2022-11-23T02:10:37.6835174Z   test_T_mT_H_mH (__main__.TestJit) ... ok (0.041s)
2022-11-23T02:10:37.6835490Z   test_add_relu_fusion (__main__.TestJit) ... ok (0.048s)
2022-11-23T02:10:37.6835824Z   test_arg_configurations (__main__.TestJit)
2022-11-23T02:10:37.6836270Z Different arg configurations should trigger different traces ... skip: Need to be adjusted to Graph Executor (0.002s)
2022-11-23T02:10:37.6836674Z   test_attrs (__main__.TestJit) ... ok (0.008s)
2022-11-23T02:10:37.6836992Z   test_batchnorm (__main__.TestJit) ... ok (0.005s)
2022-11-23T02:10:37.6837350Z   test_big (__main__.TestJit) ... skip: Requires a lot of RAM (0.001s)
2022-11-23T02:10:37.6837694Z   test_conj_transpose (__main__.TestJit) ... ok (0.007s)
2022-11-23T02:10:37.6838059Z   test_constant_insertion (__main__.TestJit) ... ok (6.735s)
2022-11-23T02:10:37.6838428Z   test_constant_prop_aliasing_type (__main__.TestJit) ... ok (0.010s)
2022-11-23T02:10:37.6838807Z   test_constant_prop_exception (__main__.TestJit) ... ok (0.009s)
2022-11-23T02:10:37.6839162Z   test_constant_prop_if_constant (__main__.TestJit) ... ok (0.009s)
2022-11-23T02:10:37.6839531Z   test_constant_prop_if_inline (__main__.TestJit) ... ok (0.005s)
2022-11-23T02:10:37.6839908Z   test_constant_prop_loop_constant (__main__.TestJit) ... ok (0.008s)
2022-11-23T02:10:37.6840261Z   test_constant_prop_nested (__main__.TestJit) ... ok (0.008s)
2022-11-23T02:10:37.6840630Z   test_constant_prop_none (__main__.TestJit) ... ok (0.010s)
2022-11-23T02:10:37.6840992Z   test_constant_prop_print (__main__.TestJit) ... ok (0.006s)
2022-11-23T02:10:37.6841359Z   test_constant_prop_rand (__main__.TestJit) ... ok (0.006s)
2022-11-23T02:10:37.6841711Z   test_constant_prop_remove_output (__main__.TestJit) ... ok (0.007s)
2022-11-23T02:10:37.6842087Z   test_constant_prop_simple (__main__.TestJit) ... ok (0.006s)
2022-11-23T02:10:37.6842444Z   test_constants_pkl (__main__.TestJit) ... ok (0.004s)
2022-11-23T02:10:37.6842797Z   test_cpp (__main__.TestJit) ... skip: covered by test_cpp_cuda (0.001s)
2022-11-23T02:10:37.6843153Z   test_cse (__main__.TestJit) ... ok (0.011s)
2022-11-23T02:10:37.6843499Z   test_cse_not_introduce_aliasing (__main__.TestJit) ... ok (0.010s)
2022-11-23T02:10:37.6843930Z   test_cu_escaped_number (__main__.TestJit) ... ok (0.002s)
2022-11-23T02:10:37.6844292Z   test_cuda_export_restore (__main__.TestJit) ... ok (0.204s)
2022-11-23T02:10:37.6844784Z   test_debug_flush_compilation_cache (__main__.TestJit) ... ok (0.023s)
2022-11-23T02:10:37.6845158Z   test_decompose_addmm (__main__.TestJit) ... ok (0.055s)
2022-11-23T02:10:37.6845487Z   test_device_not_equal (__main__.TestJit) ... ok (0.014s)
2022-11-23T02:10:37.6845869Z   test_diff_subgraph_clones_constants (__main__.TestJit) ... ok (0.007s)
2022-11-23T02:10:37.6846235Z   test_disabled (__main__.TestJit) ... ok (0.002s)
2022-11-23T02:10:37.6846545Z   test_dropout (__main__.TestJit) ... ok (0.003s)
2022-11-23T02:10:37.6846886Z   test_dropout_cuda (__main__.TestJit) ... ok (0.015s)
2022-11-23T02:10:37.6847666Z   test_dropout_func_requires_grad (__main__.TestJit) ... STAGE:2022-11-23 02:07:47 4953:4953 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:10:37.6848312Z STAGE:2022-11-23 02:07:47 4953:4953 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:10:37.6848926Z STAGE:2022-11-23 02:07:47 4953:4953 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:10:37.6849531Z STAGE:2022-11-23 02:07:47 4953:4953 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:10:37.6850116Z STAGE:2022-11-23 02:07:47 4953:4953 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:10:37.6850698Z STAGE:2022-11-23 02:07:47 4953:4953 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:10:37.6851405Z STAGE:2022-11-23 02:07:47 4953:4953 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:10:37.6852019Z STAGE:2022-11-23 02:07:47 4953:4953 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:10:37.6852626Z STAGE:2022-11-23 02:07:47 4953:4953 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:10:37.6853196Z STAGE:2022-11-23 02:07:47 4953:4953 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:10:37.6853778Z STAGE:2022-11-23 02:07:47 4953:4953 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:10:37.6854393Z STAGE:2022-11-23 02:07:47 4953:4953 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:10:37.6854733Z ok (0.565s)
2022-11-23T02:10:37.6855122Z   test_dropout_module_requires_grad (__main__.TestJit) ... skip: Testing differentiable graph (0.002s)
2022-11-23T02:10:37.6855534Z   test_einsum (__main__.TestJit) ... ok (0.045s)
2022-11-23T02:10:37.6855878Z   test_element_size (__main__.TestJit) ... ok (0.005s)
2022-11-23T02:10:37.6856804Z   test_expand_fold_quant_inputs (__main__.TestJit) ... ok (0.001s)
2022-11-23T02:10:37.6857195Z   test_expand_quantlint (__main__.TestJit) ... ok (0.001s)
2022-11-23T02:10:37.6857648Z   test_export_batchnorm (__main__.TestJit) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T02:10:37.6858105Z   test_export_dropout (__main__.TestJit) ... ok (0.011s)
2022-11-23T02:10:37.6858458Z   test_export_lstm (__main__.TestJit) ... ok (0.066s)
2022-11-23T02:10:37.6858819Z   test_export_opnames (__main__.TestJit) ... ok (0.021s)
2022-11-23T02:10:37.6859136Z   test_export_rnn (__main__.TestJit) ... ok (0.119s)
2022-11-23T02:10:37.6859543Z   test_flags (__main__.TestJit) ... skip: Need to instrument GraphExecutors a bit more (0.002s)
2022-11-23T02:10:37.6859965Z   test_function_default_values (__main__.TestJit) ... ok (0.064s)
2022-11-23T02:10:37.6860366Z   test_hide_source_ranges_context_manager (__main__.TestJit) ... ok (0.005s)
2022-11-23T02:10:37.6860719Z   test_import_method (__main__.TestJit) ... ok (0.007s)
2022-11-23T02:10:37.6861070Z   test_inferred_as_tensor (__main__.TestJit) ... ok (0.003s)
2022-11-23T02:10:37.6861411Z   test_layout (__main__.TestJit) ... ok (0.005s)
2022-11-23T02:10:37.6861739Z   test_matrix_conj_transpose (__main__.TestJit) ... ok (0.007s)
2022-11-23T02:10:37.6862105Z   test_matrix_transpose (__main__.TestJit) ... ok (0.006s)
2022-11-23T02:10:37.6862472Z   test_module_default_values (__main__.TestJit) ... ok (0.009s)
2022-11-23T02:10:37.6863090Z   test_mutable_default_values (__main__.TestJit) ... ok (0.008s)
2022-11-23T02:10:37.6863447Z   test_native_dropout_corner_case (__main__.TestJit) ... ok (0.021s)
2022-11-23T02:10:37.6863801Z   test_nn_conv (__main__.TestJit) ... ok (0.385s)
2022-11-23T02:10:37.6864144Z   test_nn_lp_pool1d (__main__.TestJit) ... ok (0.164s)
2022-11-23T02:10:37.6864468Z   test_nn_lp_pool2d (__main__.TestJit) ... ok (0.221s)
2022-11-23T02:10:37.6864807Z   test_nn_padding (__main__.TestJit) ... ok (0.372s)
2022-11-23T02:10:37.6865167Z   test_nn_padding_functional (__main__.TestJit) ... ok (0.050s)
2022-11-23T02:10:37.6865519Z   test_no_erroneous_warnings (__main__.TestJit) ... ok (0.007s)
2022-11-23T02:10:37.6865960Z   test_non_ascii_string (__main__.TestJit) ... skip: temporarily disable the test for fwd compatibility (0.001s)
2022-11-23T02:10:37.6866363Z   test_numel (__main__.TestJit) ... ok (0.005s)
2022-11-23T02:10:37.6866722Z   test_pattern_based_module_rewrite (__main__.TestJit) ... ok (0.050s)
2022-11-23T02:10:37.6867093Z   test_pattern_based_rewrite (__main__.TestJit) ... ok (0.003s)
2022-11-23T02:10:37.6867509Z   test_pattern_based_rewrite_with_source_range_preserved (__main__.TestJit) ... ok (0.033s)
2022-11-23T02:10:37.6868199Z   test_peephole_optimize_shape_ops (__main__.TestJit) ... skip: Simple executor doesn't have shape information (0.004s)
2022-11-23T02:10:37.6868766Z   test_permute_inputs_binding (__main__.TestJit) ... ok (0.005s)
2022-11-23T02:10:37.6869154Z   test_pretty_printer (__main__.TestJit) ... ok (0.043s)
2022-11-23T02:10:37.6869525Z   test_print_classes_module (__main__.TestJit) ... ok (0.001s)
2022-11-23T02:10:37.6869864Z   test_print_op_module (__main__.TestJit) ... ok (0.001s)
2022-11-23T02:10:37.6870232Z   test_print_torch_ops_modules (__main__.TestJit) ... ok (0.001s)
2022-11-23T02:10:37.6871301Z   test_profiler (__main__.TestJit) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/65521 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T02:10:37.6872031Z   test_python_bindings (__main__.TestJit) ... ok (0.360s)
2022-11-23T02:10:37.6872356Z   test_python_ir (__main__.TestJit) ... ok (0.005s)
2022-11-23T02:10:37.6872699Z   test_python_ir_utils (__main__.TestJit) ... ok (0.006s)
2022-11-23T02:10:37.6873757Z   test_python_ir_utils_graph (__main__.TestJit) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73473 for platform(s) macos, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T02:10:37.6874493Z   test_python_ivalue (__main__.TestJit) ... ok (0.003s)
2022-11-23T02:10:37.6874839Z   test_pytorch_jit_env_off (__main__.TestJit) ... ok (2.404s)
2022-11-23T02:10:37.6875272Z   test_recursive_cse (__main__.TestJit) ... ok (0.002s)
2022-11-23T02:10:37.6875653Z   test_repeat_interleave_script (__main__.TestJit) ... ok (0.007s)
2022-11-23T02:10:37.6876017Z   test_restore_device (__main__.TestJit) ... ok (0.008s)
2022-11-23T02:10:37.6876352Z   test_restore_device_cuda (__main__.TestJit) ... ok (0.030s)
2022-11-23T02:10:37.6877321Z   test_restore_shared_storage_on_cuda (__main__.TestJit) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T02:10:37.6877971Z   warnings.warn(message, UserWarning)
2022-11-23T02:10:37.6878249Z ok (0.010s)
2022-11-23T02:10:37.6878531Z   test_script_autograd_grad (__main__.TestJit) ... ok (0.555s)
2022-11-23T02:10:37.6878885Z   test_script_backward (__main__.TestJit) ... ok (0.022s)
2022-11-23T02:10:37.6879659Z   test_script_backward_twice (__main__.TestJit) ... /opt/conda/lib/python3.10/site-packages/torch/jit/_script.py:1243: UserWarning: `optimize` is deprecated and has no effect. Use `with torch.jit.optimized_execution() instead
2022-11-23T02:10:37.6880262Z   warnings.warn(
2022-11-23T02:10:37.6880503Z ok (0.022s)
2022-11-23T02:10:37.6880788Z   test_script_fn_pkl (__main__.TestJit) ... ok (0.005s)
2022-11-23T02:10:37.6881121Z   test_script_tensor_type (__main__.TestJit) ... ok (0.007s)
2022-11-23T02:10:37.6881485Z   test_shape_analysis_broadcast (__main__.TestJit) ... ok (0.005s)
2022-11-23T02:10:37.6881861Z   test_shape_analysis_masked_select (__main__.TestJit) ... ok (0.002s)
2022-11-23T02:10:37.6882255Z   test_shape_analysis_unsqueeze_in_loop (__main__.TestJit) ... ok (0.002s)
2022-11-23T02:10:37.6882610Z   test_sparse_csr_tensors (__main__.TestJit) ... ok (0.006s)
2022-11-23T02:10:37.6882952Z   test_sparse_tensors (__main__.TestJit) ... ok (0.063s)
2022-11-23T02:10:37.6884503Z   test_torch_complex (__main__.TestJit) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:470: UserWarning: An output with one or more elements was resized since it had shape [3, 4], which does not match the required output shape [2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T02:10:37.6885460Z   return callable(*args, **kwargs)
2022-11-23T02:10:37.6886800Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:470: UserWarning: An output with one or more elements was resized since it had shape [5, 2], which does not match the required output shape [2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T02:10:37.6887691Z   return callable(*args, **kwargs)
2022-11-23T02:10:37.6887931Z ok (0.057s)
2022-11-23T02:10:37.6888468Z   test_torch_load_error (__main__.TestJit) ... skip: TODO: re-enable with https://github.com/pytorch/pytorch/pull/29339 (0.001s)
2022-11-23T02:10:37.6888930Z   test_torch_load_zipfile_check (__main__.TestJit) ... ok (0.005s)
2022-11-23T02:10:37.6889292Z   test_torch_ops_kwonly (__main__.TestJit) ... ok (0.004s)
2022-11-23T02:10:37.6889630Z   test_torch_ops_overloaded (__main__.TestJit) ... ok (0.003s)
2022-11-23T02:10:37.6889968Z   test_torch_sum (__main__.TestJit) ... ok (0.021s)
2022-11-23T02:10:37.6890318Z   test_trace_retains_train (__main__.TestJit) ... ok (0.011s)
2022-11-23T02:10:37.6890644Z   test_train_eval (__main__.TestJit) ... ok (0.075s)
2022-11-23T02:10:37.6890977Z   test_transpose (__main__.TestJit) ... ok (0.006s)
2022-11-23T02:10:37.6891311Z   test_unchecked_cast (__main__.TestJit) ... ok (0.021s)
2022-11-23T02:10:37.6891650Z   test_unique_state_dict (__main__.TestJit) ... ok (0.002s)
2022-11-23T02:10:37.6892079Z   test_verify (__main__.TestJit) ... skip: verify needs to be updated to work with GraphExecutors (0.001s)
2022-11-23T02:10:37.6892476Z   test_warnings (__main__.TestJit) ... ok (0.016s)
2022-11-23T02:10:37.6892875Z   test_nn_AdaptiveAvgPool1d (__main__.TestJitGeneratedModule) ... ok (0.063s)
2022-11-23T02:10:37.6893321Z   test_nn_AdaptiveAvgPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.063s)
2022-11-23T02:10:37.6893788Z   test_nn_AdaptiveAvgPool1d_one_output (__main__.TestJitGeneratedModule) ... ok (0.063s)
2022-11-23T02:10:37.6894262Z   test_nn_AdaptiveAvgPool2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.078s)
2022-11-23T02:10:37.6894715Z   test_nn_AdaptiveAvgPool2d_single (__main__.TestJitGeneratedModule) ... ok (0.078s)
2022-11-23T02:10:37.6895179Z   test_nn_AdaptiveAvgPool2d_single_1x1output (__main__.TestJitGeneratedModule) ... ok (0.078s)
2022-11-23T02:10:37.6895880Z   test_nn_AdaptiveAvgPool2d_tuple (__main__.TestJitGeneratedModule) ... ok (0.079s)
2022-11-23T02:10:37.6897029Z   test_nn_AdaptiveAvgPool2d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.6897484Z   test_nn_AdaptiveAvgPool3d_last_dim (__main__.TestJitGeneratedModule) ... ok (0.078s)
2022-11-23T02:10:37.6897959Z   test_nn_AdaptiveAvgPool3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.079s)
2022-11-23T02:10:37.6898420Z   test_nn_AdaptiveAvgPool3d_single (__main__.TestJitGeneratedModule) ... ok (0.077s)
2022-11-23T02:10:37.6898858Z   test_nn_AdaptiveAvgPool3d_tuple (__main__.TestJitGeneratedModule) ... ok (0.080s)
2022-11-23T02:10:37.6899319Z   test_nn_AdaptiveAvgPool3d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.6899766Z   test_nn_AdaptiveMaxPool1d (__main__.TestJitGeneratedModule) ... ok (0.090s)
2022-11-23T02:10:37.6900222Z   test_nn_AdaptiveMaxPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.081s)
2022-11-23T02:10:37.6900679Z   test_nn_AdaptiveMaxPool2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.100s)
2022-11-23T02:10:37.6901140Z   test_nn_AdaptiveMaxPool2d_single (__main__.TestJitGeneratedModule) ... ok (0.088s)
2022-11-23T02:10:37.6901591Z   test_nn_AdaptiveMaxPool2d_tuple (__main__.TestJitGeneratedModule) ... ok (0.091s)
2022-11-23T02:10:37.6902232Z   test_nn_AdaptiveMaxPool2d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.6902712Z   test_nn_AdaptiveMaxPool3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.103s)
2022-11-23T02:10:37.6903170Z   test_nn_AdaptiveMaxPool3d_single (__main__.TestJitGeneratedModule) ... ok (0.091s)
2022-11-23T02:10:37.6903642Z   test_nn_AdaptiveMaxPool3d_single_nonatomic (__main__.TestJitGeneratedModule) ... ok (0.090s)
2022-11-23T02:10:37.6904092Z   test_nn_AdaptiveMaxPool3d_tuple (__main__.TestJitGeneratedModule) ... ok (0.092s)
2022-11-23T02:10:37.6904561Z   test_nn_AdaptiveMaxPool3d_tuple_nonatomic (__main__.TestJitGeneratedModule) ... ok (0.091s)
2022-11-23T02:10:37.6905041Z   test_nn_AdaptiveMaxPool3d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.6905475Z   test_nn_AvgPool1d (__main__.TestJitGeneratedModule) ... ok (0.073s)
2022-11-23T02:10:37.6905879Z   test_nn_AvgPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.073s)
2022-11-23T02:10:37.6906318Z   test_nn_AvgPool1d_stride (__main__.TestJitGeneratedModule) ... ok (0.073s)
2022-11-23T02:10:37.6906756Z   test_nn_AvgPool1d_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.073s)
2022-11-23T02:10:37.6907160Z   test_nn_AvgPool2d (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T02:10:37.6907581Z   test_nn_AvgPool2d_divisor (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T02:10:37.6908013Z   test_nn_AvgPool2d_divisor_stride (__main__.TestJitGeneratedModule) ... ok (0.076s)
2022-11-23T02:10:37.6908437Z   test_nn_AvgPool2d_divisor_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.076s)
2022-11-23T02:10:37.6908891Z   test_nn_AvgPool2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T02:10:37.6909319Z   test_nn_AvgPool2d_stride (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T02:10:37.6909742Z   test_nn_AvgPool2d_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.076s)
2022-11-23T02:10:37.6910149Z   test_nn_AvgPool3d (__main__.TestJitGeneratedModule) ... ok (0.077s)
2022-11-23T02:10:37.6910566Z   test_nn_AvgPool3d_divisor (__main__.TestJitGeneratedModule) ... ok (0.076s)
2022-11-23T02:10:37.6911002Z   test_nn_AvgPool3d_divisor_stride (__main__.TestJitGeneratedModule) ... ok (0.074s)
2022-11-23T02:10:37.6911448Z   test_nn_AvgPool3d_divisor_stride1_pad0_gpu_input (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T02:10:37.6911915Z   test_nn_AvgPool3d_divisor_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T02:10:37.6912396Z   test_nn_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output (__main__.TestJitGeneratedModule) ... ok (0.076s)
2022-11-23T02:10:37.6913067Z   test_nn_AvgPool3d_divisor_stride_pad_gpu_general_output (__main__.TestJitGeneratedModule) ... ok (0.076s)
2022-11-23T02:10:37.6913551Z   test_nn_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap (__main__.TestJitGeneratedModule) ... ok (0.076s)
2022-11-23T02:10:37.6914030Z   test_nn_AvgPool3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T02:10:37.6914459Z   test_nn_AvgPool3d_stride (__main__.TestJitGeneratedModule) ... ok (0.074s)
2022-11-23T02:10:37.6914911Z   test_nn_AvgPool3d_stride1_pad0_gpu_input (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T02:10:37.6915345Z   test_nn_AvgPool3d_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T02:10:37.6915805Z   test_nn_AvgPool3d_stride_pad_gpu_fixedkw_output (__main__.TestJitGeneratedModule) ... ok (0.076s)
2022-11-23T02:10:37.6916291Z   test_nn_AvgPool3d_stride_pad_gpu_general_output (__main__.TestJitGeneratedModule) ... ok (0.077s)
2022-11-23T02:10:37.6916763Z   test_nn_AvgPool3d_stride_pad_gpu_input_nooverlap (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T02:10:37.6917207Z   test_nn_BCELoss (__main__.TestJitGeneratedModule) ... ok (0.096s)
2022-11-23T02:10:37.6917628Z   test_nn_BCELoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.056s)
2022-11-23T02:10:37.6918231Z   test_nn_BCELoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.058s)
2022-11-23T02:10:37.6918657Z   test_nn_BCELoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.061s)
2022-11-23T02:10:37.6919092Z   test_nn_BCELoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.6919524Z   test_nn_BCELoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.6919951Z   test_nn_BCELoss_scalar_weights (__main__.TestJitGeneratedModule) ... ok (0.059s)
2022-11-23T02:10:37.6920386Z   test_nn_BCELoss_weights (__main__.TestJitGeneratedModule) ... ok (0.060s)
2022-11-23T02:10:37.6920828Z   test_nn_BCELoss_weights_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.6921284Z   test_nn_BCELoss_weights_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.6921715Z   test_nn_BCEWithLogitsLoss (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T02:10:37.6922172Z   test_nn_BCEWithLogitsLoss_legacy_enum (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.6922645Z   test_nn_BCEWithLogitsLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.059s)
2022-11-23T02:10:37.6923096Z   test_nn_BCEWithLogitsLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.059s)
2022-11-23T02:10:37.6923573Z   test_nn_BCEWithLogitsLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.060s)
2022-11-23T02:10:37.6924035Z   test_nn_BCEWithLogitsLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.6924503Z   test_nn_BCEWithLogitsLoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.6924970Z   test_nn_BCEWithLogitsLoss_scalar_weights (__main__.TestJitGeneratedModule) ... ok (0.060s)
2022-11-23T02:10:37.6925448Z   test_nn_BCEWithLogitsLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.062s)
2022-11-23T02:10:37.6925895Z   test_nn_BatchNorm1d_3d_input (__main__.TestJitGeneratedModule) ... ok (0.159s)
2022-11-23T02:10:37.6926349Z   test_nn_BatchNorm1d_3d_input_not_affine (__main__.TestJitGeneratedModule) ... ok (0.157s)
2022-11-23T02:10:37.6926774Z   test_nn_BatchNorm1d_affine (__main__.TestJitGeneratedModule) ... ok (0.160s)
2022-11-23T02:10:37.6927227Z   test_nn_BatchNorm1d_affine_simple_average (__main__.TestJitGeneratedModule) ... ok (0.165s)
2022-11-23T02:10:37.6927683Z   test_nn_BatchNorm1d_not_affine (__main__.TestJitGeneratedModule) ... ok (0.159s)
2022-11-23T02:10:37.6928118Z   test_nn_BatchNorm1d_not_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.154s)
2022-11-23T02:10:37.6928568Z   test_nn_BatchNorm1d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.155s)
2022-11-23T02:10:37.6929119Z   test_nn_BatchNorm2d (__main__.TestJitGeneratedModule) ... ok (0.155s)
2022-11-23T02:10:37.6929559Z   test_nn_BatchNorm2d_2d_simple_average (__main__.TestJitGeneratedModule) ... ok (0.162s)
2022-11-23T02:10:37.6929986Z   test_nn_BatchNorm2d_momentum (__main__.TestJitGeneratedModule) ... ok (0.156s)
2022-11-23T02:10:37.6930436Z   test_nn_BatchNorm2d_not_affine (__main__.TestJitGeneratedModule) ... ok (0.154s)
2022-11-23T02:10:37.6930891Z   test_nn_BatchNorm2d_not_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.149s)
2022-11-23T02:10:37.6931323Z   test_nn_BatchNorm2d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.152s)
2022-11-23T02:10:37.6931752Z   test_nn_BatchNorm3d (__main__.TestJitGeneratedModule) ... ok (0.156s)
2022-11-23T02:10:37.6932186Z   test_nn_BatchNorm3d_3d_simple_average (__main__.TestJitGeneratedModule) ... ok (0.162s)
2022-11-23T02:10:37.6932634Z   test_nn_BatchNorm3d_momentum (__main__.TestJitGeneratedModule) ... ok (0.156s)
2022-11-23T02:10:37.6933057Z   test_nn_BatchNorm3d_not_affine (__main__.TestJitGeneratedModule) ... ok (0.156s)
2022-11-23T02:10:37.6933505Z   test_nn_BatchNorm3d_not_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.150s)
2022-11-23T02:10:37.6933953Z   test_nn_BatchNorm3d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.153s)
2022-11-23T02:10:37.6934433Z   test_nn_Bilinear (__main__.TestJitGeneratedModule) ... ok (0.082s)
2022-11-23T02:10:37.6934841Z   test_nn_CELU (__main__.TestJitGeneratedModule) ... ok (0.074s)
2022-11-23T02:10:37.6935249Z   test_nn_CELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.073s)
2022-11-23T02:10:37.6935665Z   test_nn_CELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.073s)
2022-11-23T02:10:37.6936600Z   test_nn_CTCLoss_2d_int_target_lengths_intlists (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.004s)
2022-11-23T02:10:37.6937137Z   test_nn_CTCLoss_2d_int_target_lengths_tensors (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T02:10:37.6937610Z   test_nn_CTCLoss_2d_lengths_tensors (__main__.TestJitGeneratedModule) ... ok (0.045s)
2022-11-23T02:10:37.6938076Z   test_nn_CTCLoss_lengths_intlists (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.003s)
2022-11-23T02:10:37.6938558Z   test_nn_CTCLoss_lengths_tensors (__main__.TestJitGeneratedModule) ... ok (0.044s)
2022-11-23T02:10:37.6938985Z   test_nn_ConstantPad1d (__main__.TestJitGeneratedModule) ... ok (0.066s)
2022-11-23T02:10:37.6939411Z   test_nn_ConstantPad1d_batch (__main__.TestJitGeneratedModule) ... ok (0.068s)
2022-11-23T02:10:37.6939831Z   test_nn_ConstantPad1d_complex (__main__.TestJitGeneratedModule) ... ok (0.068s)
2022-11-23T02:10:37.6940256Z   test_nn_ConstantPad2d (__main__.TestJitGeneratedModule) ... ok (0.070s)
2022-11-23T02:10:37.6940675Z   test_nn_ConstantPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.069s)
2022-11-23T02:10:37.6941103Z   test_nn_ConstantPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.068s)
2022-11-23T02:10:37.6941538Z   test_nn_ConstantPad3d (__main__.TestJitGeneratedModule) ... ok (0.070s)
2022-11-23T02:10:37.6941968Z   test_nn_ConstantPad3d_complex (__main__.TestJitGeneratedModule) ... ok (0.070s)
2022-11-23T02:10:37.6942410Z   test_nn_ConstantPad3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.069s)
2022-11-23T02:10:37.6942810Z   test_nn_Conv1d (__main__.TestJitGeneratedModule) ... ok (0.096s)
2022-11-23T02:10:37.6943234Z   test_nn_Conv1d_circular_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.104s)
2022-11-23T02:10:37.6943664Z   test_nn_Conv1d_dilated (__main__.TestJitGeneratedModule) ... ok (0.097s)
2022-11-23T02:10:37.6944113Z   test_nn_Conv1d_groups (__main__.TestJitGeneratedModule) ... ok (0.099s)
2022-11-23T02:10:37.6944535Z   test_nn_Conv1d_pad1 (__main__.TestJitGeneratedModule) ... ok (0.095s)
2022-11-23T02:10:37.6944952Z   test_nn_Conv1d_pad1size1 (__main__.TestJitGeneratedModule) ... ok (0.096s)
2022-11-23T02:10:37.6945568Z   test_nn_Conv1d_pad2 (__main__.TestJitGeneratedModule) ... ok (0.096s)
2022-11-23T02:10:37.6945969Z   test_nn_Conv1d_pad2size1 (__main__.TestJitGeneratedModule) ... ok (0.095s)
2022-11-23T02:10:37.6946383Z   test_nn_Conv1d_pad_same (__main__.TestJitGeneratedModule) ... ok (0.095s)
2022-11-23T02:10:37.6946799Z   test_nn_Conv1d_pad_same2 (__main__.TestJitGeneratedModule) ... ok (0.096s)
2022-11-23T02:10:37.6947216Z   test_nn_Conv1d_pad_same_dilated (__main__.TestJitGeneratedModule) ... ok (0.096s)
2022-11-23T02:10:37.6947645Z   test_nn_Conv1d_pad_valid (__main__.TestJitGeneratedModule) ... ok (0.096s)
2022-11-23T02:10:37.6948089Z   test_nn_Conv1d_reflect_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.101s)
2022-11-23T02:10:37.6948540Z   test_nn_Conv1d_replicate_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.100s)
2022-11-23T02:10:37.6948953Z   test_nn_Conv1d_stride (__main__.TestJitGeneratedModule) ... ok (0.096s)
2022-11-23T02:10:37.6949365Z   test_nn_Conv1d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.094s)
2022-11-23T02:10:37.6949793Z   test_nn_Conv1d_zeros_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.095s)
2022-11-23T02:10:37.6950182Z   test_nn_Conv2d (__main__.TestJitGeneratedModule) ... ok (0.098s)
2022-11-23T02:10:37.6950604Z   test_nn_Conv2d_circular_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.106s)
2022-11-23T02:10:37.6951143Z   test_nn_Conv2d_depthwise (__main__.TestJitGeneratedModule) ... ok (0.101s)
2022-11-23T02:10:37.6951592Z   test_nn_Conv2d_depthwise_dilated (__main__.TestJitGeneratedModule) ... ok (0.100s)
2022-11-23T02:10:37.6952024Z   test_nn_Conv2d_depthwise_padded (__main__.TestJitGeneratedModule) ... ok (0.101s)
2022-11-23T02:10:37.6952468Z   test_nn_Conv2d_depthwise_strided (__main__.TestJitGeneratedModule) ... ok (0.101s)
2022-11-23T02:10:37.6952926Z   test_nn_Conv2d_depthwise_with_multiplier (__main__.TestJitGeneratedModule) ... ok (0.100s)
2022-11-23T02:10:37.6953343Z   test_nn_Conv2d_dilated (__main__.TestJitGeneratedModule) ... ok (0.098s)
2022-11-23T02:10:37.6953767Z   test_nn_Conv2d_groups (__main__.TestJitGeneratedModule) ... ok (0.100s)
2022-11-23T02:10:37.6954180Z   test_nn_Conv2d_groups_thnn (__main__.TestJitGeneratedModule) ... ok (0.099s)
2022-11-23T02:10:37.6954593Z   test_nn_Conv2d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.098s)
2022-11-23T02:10:37.6954991Z   test_nn_Conv2d_pad_same (__main__.TestJitGeneratedModule) ... ok (0.097s)
2022-11-23T02:10:37.6955418Z   test_nn_Conv2d_pad_same_dilated (__main__.TestJitGeneratedModule) ... ok (0.098s)
2022-11-23T02:10:37.6955841Z   test_nn_Conv2d_pad_valid (__main__.TestJitGeneratedModule) ... ok (0.097s)
2022-11-23T02:10:37.6956235Z   test_nn_Conv2d_padding (__main__.TestJitGeneratedModule) ... ok (0.098s)
2022-11-23T02:10:37.6956722Z   test_nn_Conv2d_reflect_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.101s)
2022-11-23T02:10:37.6957182Z   test_nn_Conv2d_replicate_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.103s)
2022-11-23T02:10:37.6957617Z   test_nn_Conv2d_strided (__main__.TestJitGeneratedModule) ... ok (0.099s)
2022-11-23T02:10:37.6958011Z   test_nn_Conv2d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.096s)
2022-11-23T02:10:37.6958446Z   test_nn_Conv2d_zeros_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.099s)
2022-11-23T02:10:37.6958856Z   test_nn_Conv3d (__main__.TestJitGeneratedModule) ... ok (0.099s)
2022-11-23T02:10:37.6959252Z   test_nn_Conv3d_1x1x1_no_bias (__main__.TestJitGeneratedModule) ... ok (0.097s)
2022-11-23T02:10:37.6959692Z   test_nn_Conv3d_circular_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.110s)
2022-11-23T02:10:37.6960124Z   test_nn_Conv3d_dilated (__main__.TestJitGeneratedModule) ... ok (0.098s)
2022-11-23T02:10:37.6960553Z   test_nn_Conv3d_dilated_strided (__main__.TestJitGeneratedModule) ... ok (0.099s)
2022-11-23T02:10:37.6960961Z   test_nn_Conv3d_groups (__main__.TestJitGeneratedModule) ... ok (0.099s)
2022-11-23T02:10:37.6961377Z   test_nn_Conv3d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.097s)
2022-11-23T02:10:37.6961910Z   test_nn_Conv3d_pad_same (__main__.TestJitGeneratedModule) ... ok (0.099s)
2022-11-23T02:10:37.6962317Z   test_nn_Conv3d_pad_same_dilated (__main__.TestJitGeneratedModule) ... ok (0.100s)
2022-11-23T02:10:37.6962742Z   test_nn_Conv3d_pad_valid (__main__.TestJitGeneratedModule) ... ok (0.098s)
2022-11-23T02:10:37.6963180Z   test_nn_Conv3d_replicate_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.104s)
2022-11-23T02:10:37.6963610Z   test_nn_Conv3d_stride (__main__.TestJitGeneratedModule) ... ok (0.098s)
2022-11-23T02:10:37.6964010Z   test_nn_Conv3d_stride_padding (__main__.TestJitGeneratedModule) ... ok (0.099s)
2022-11-23T02:10:37.6964428Z   test_nn_Conv3d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.096s)
2022-11-23T02:10:37.6964854Z   test_nn_Conv3d_zeros_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.099s)
2022-11-23T02:10:37.6965265Z   test_nn_ConvTranspose1d (__main__.TestJitGeneratedModule) ... ok (0.184s)
2022-11-23T02:10:37.6965704Z   test_nn_ConvTranspose1d_dilated (__main__.TestJitGeneratedModule) ... ok (0.183s)
2022-11-23T02:10:37.6966157Z   test_nn_ConvTranspose1d_groups (__main__.TestJitGeneratedModule) ... ok (0.185s)
2022-11-23T02:10:37.6966605Z   test_nn_ConvTranspose1d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.183s)
2022-11-23T02:10:37.6967087Z   test_nn_ConvTranspose2d (__main__.TestJitGeneratedModule) ... ok (0.186s)
2022-11-23T02:10:37.6967544Z   test_nn_ConvTranspose2d_dilated (__main__.TestJitGeneratedModule) ... ok (0.186s)
2022-11-23T02:10:37.6967990Z   test_nn_ConvTranspose2d_groups (__main__.TestJitGeneratedModule) ... ok (0.187s)
2022-11-23T02:10:37.6968412Z   test_nn_ConvTranspose2d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.186s)
2022-11-23T02:10:37.6968842Z   test_nn_ConvTranspose3d (__main__.TestJitGeneratedModule) ... ok (0.189s)
2022-11-23T02:10:37.6969279Z   test_nn_ConvTranspose3d_dilated (__main__.TestJitGeneratedModule) ... ok (0.189s)
2022-11-23T02:10:37.6969727Z   test_nn_CosineEmbeddingLoss (__main__.TestJitGeneratedModule) ... ok (0.067s)
2022-11-23T02:10:37.6970166Z   test_nn_CosineEmbeddingLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T02:10:37.6970649Z   test_nn_CosineEmbeddingLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T02:10:37.6971136Z   test_nn_CosineEmbeddingLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T02:10:37.6971599Z   test_nn_CosineEmbeddingLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T02:10:37.6972057Z   test_nn_CrossEntropyLoss (__main__.TestJitGeneratedModule) ... ok (0.067s)
2022-11-23T02:10:37.6972495Z   test_nn_CrossEntropyLoss_2d (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.6972950Z   test_nn_CrossEntropyLoss_2d_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.6973429Z   test_nn_CrossEntropyLoss_2d_indices_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.6973961Z   test_nn_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.055s)
2022-11-23T02:10:37.6974505Z   test_nn_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T02:10:37.6975048Z   test_nn_CrossEntropyLoss_2d_indices_target_smoothing_weight (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.6975529Z   test_nn_CrossEntropyLoss_2d_prob_target (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.6976010Z   test_nn_CrossEntropyLoss_2d_prob_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T02:10:37.6976864Z   test_nn_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T02:10:37.6977373Z   test_nn_CrossEntropyLoss_2d_prob_target_smoothing_weight (__main__.TestJitGeneratedModule) ... ok (0.055s)
2022-11-23T02:10:37.6977947Z   test_nn_CrossEntropyLoss_2d_prob_target_weights (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.6978596Z   test_nn_CrossEntropyLoss_2d_weights (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.6979086Z   test_nn_CrossEntropyLoss_3d_indices_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.055s)
2022-11-23T02:10:37.6979592Z   test_nn_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.6980132Z   test_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.6980687Z   test_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.055s)
2022-11-23T02:10:37.6981202Z   test_nn_CrossEntropyLoss_3d_prob_target (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.6981666Z   test_nn_CrossEntropyLoss_3d_prob_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.6982188Z   test_nn_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.6982696Z   test_nn_CrossEntropyLoss_3d_prob_target_weights (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T02:10:37.6983156Z   test_nn_CrossEntropyLoss_4d_prob_target (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T02:10:37.6983750Z   test_nn_CrossEntropyLoss_4d_prob_target_weights (__main__.TestJitGeneratedModule) ... ok (0.055s)
2022-11-23T02:10:37.6984232Z   test_nn_CrossEntropyLoss_dim_is_3 (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T02:10:37.6984686Z   test_nn_CrossEntropyLoss_higher_dim (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.6985122Z   test_nn_CrossEntropyLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.6985557Z   test_nn_CrossMapLRN2d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.6985961Z   test_nn_ELU (__main__.TestJitGeneratedModule) ... ok (0.073s)
2022-11-23T02:10:37.6986363Z   test_nn_ELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.074s)
2022-11-23T02:10:37.6986754Z   test_nn_ELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.074s)
2022-11-23T02:10:37.6987155Z   test_nn_Embedding (__main__.TestJitGeneratedModule) ... ok (0.057s)
2022-11-23T02:10:37.6987595Z   test_nn_EmbeddingBag_discontiguous (__main__.TestJitGeneratedModule) ... ok (0.116s)
2022-11-23T02:10:37.6988018Z   test_nn_EmbeddingBag_max (__main__.TestJitGeneratedModule) ... ok (0.086s)
2022-11-23T02:10:37.6988465Z   test_nn_EmbeddingBag_max_padding_idx (__main__.TestJitGeneratedModule) ... ok (0.086s)
2022-11-23T02:10:37.6988910Z   test_nn_EmbeddingBag_mean (__main__.TestJitGeneratedModule) ... ok (0.091s)
2022-11-23T02:10:37.6989342Z   test_nn_EmbeddingBag_mean_padding_idx (__main__.TestJitGeneratedModule) ... ok (0.089s)
2022-11-23T02:10:37.6989795Z   test_nn_EmbeddingBag_sparse (__main__.TestJitGeneratedModule) ... ok (0.089s)
2022-11-23T02:10:37.6990226Z   test_nn_EmbeddingBag_sum (__main__.TestJitGeneratedModule) ... ok (0.089s)
2022-11-23T02:10:37.6990667Z   test_nn_EmbeddingBag_sum_padding_idx (__main__.TestJitGeneratedModule) ... ok (0.088s)
2022-11-23T02:10:37.6991103Z   test_nn_Embedding_discontiguous (__main__.TestJitGeneratedModule) ... ok (0.047s)
2022-11-23T02:10:37.6991552Z   test_nn_Embedding_sparse (__main__.TestJitGeneratedModule) ... ok (0.047s)
2022-11-23T02:10:37.6991962Z   test_nn_Flatten (__main__.TestJitGeneratedModule) ... ok (0.064s)
2022-11-23T02:10:37.6992358Z   test_nn_Flatten_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.064s)
2022-11-23T02:10:37.6992764Z   test_nn_Fold (__main__.TestJitGeneratedModule) ... ok (0.093s)
2022-11-23T02:10:37.6993160Z   test_nn_Fold_int_input (__main__.TestJitGeneratedModule) ... ok (0.085s)
2022-11-23T02:10:37.6993588Z   test_nn_Fold_no_batch_dim_input (__main__.TestJitGeneratedModule) ... ok (0.086s)
2022-11-23T02:10:37.6994008Z   test_nn_Fold_no_batch_dim_int_input (__main__.TestJitGeneratedModule) ... ok (0.085s)
2022-11-23T02:10:37.6994595Z   test_nn_FractionalMaxPool2d_ratio (__main__.TestJitGeneratedModule) ... ok (0.163s)
2022-11-23T02:10:37.6995077Z   test_nn_FractionalMaxPool2d_ratio_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.137s)
2022-11-23T02:10:37.6995584Z   test_nn_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.142s)
2022-11-23T02:10:37.6996107Z   test_nn_FractionalMaxPool2d_ratio_return_indices (__main__.TestJitGeneratedModule) ... ok (0.130s)
2022-11-23T02:10:37.6996589Z   test_nn_FractionalMaxPool2d_size (__main__.TestJitGeneratedModule) ... ok (0.135s)
2022-11-23T02:10:37.6997069Z   test_nn_FractionalMaxPool2d_size_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.135s)
2022-11-23T02:10:37.6997576Z   test_nn_FractionalMaxPool2d_size_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.140s)
2022-11-23T02:10:37.6998080Z   test_nn_FractionalMaxPool3d_asymsize (__main__.TestJitGeneratedModule) ... ok (0.168s)
2022-11-23T02:10:37.6998558Z   test_nn_FractionalMaxPool3d_ratio (__main__.TestJitGeneratedModule) ... ok (0.145s)
2022-11-23T02:10:37.6999035Z   test_nn_FractionalMaxPool3d_ratio_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.146s)
2022-11-23T02:10:37.6999664Z   test_nn_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.148s)
2022-11-23T02:10:37.7000196Z   test_nn_FractionalMaxPool3d_ratio_return_indices (__main__.TestJitGeneratedModule) ... ok (0.137s)
2022-11-23T02:10:37.7000682Z   test_nn_FractionalMaxPool3d_size (__main__.TestJitGeneratedModule) ... ok (0.140s)
2022-11-23T02:10:37.7001138Z   test_nn_FractionalMaxPool3d_size_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.139s)
2022-11-23T02:10:37.7001650Z   test_nn_FractionalMaxPool3d_size_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.147s)
2022-11-23T02:10:37.7002108Z   test_nn_GELU (__main__.TestJitGeneratedModule) ... ok (0.062s)
2022-11-23T02:10:37.7002525Z   test_nn_GELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.061s)
2022-11-23T02:10:37.7002922Z   test_nn_GELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.061s)
2022-11-23T02:10:37.7003320Z   test_nn_GLU (__main__.TestJitGeneratedModule) ... ok (0.082s)
2022-11-23T02:10:37.7003712Z   test_nn_GLU_dim (__main__.TestJitGeneratedModule) ... ok (0.076s)
2022-11-23T02:10:37.7004102Z   test_nn_GLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T02:10:37.7004519Z   test_nn_GRUCell (__main__.TestJitGeneratedModule) ... ok (0.125s)
2022-11-23T02:10:37.7004929Z   test_nn_GroupNorm_1d_affine (__main__.TestJitGeneratedModule) ... ok (0.138s)
2022-11-23T02:10:37.7005367Z   test_nn_GroupNorm_1d_affine_GN (__main__.TestJitGeneratedModule) ... ok (0.127s)
2022-11-23T02:10:37.7005800Z   test_nn_GroupNorm_1d_affine_large_batch (__main__.TestJitGeneratedModule) ... ok (0.128s)
2022-11-23T02:10:37.7006256Z   test_nn_GroupNorm_1d_no_affine_IN (__main__.TestJitGeneratedModule) ... ok (0.122s)
2022-11-23T02:10:37.7006707Z   test_nn_GroupNorm_1d_no_affine_LN (__main__.TestJitGeneratedModule) ... ok (0.125s)
2022-11-23T02:10:37.7007116Z   test_nn_GroupNorm_2d_affine (__main__.TestJitGeneratedModule) ... ok (0.128s)
2022-11-23T02:10:37.7007582Z   test_nn_GroupNorm_2d_affine_large_feature (__main__.TestJitGeneratedModule) ... ok (0.135s)
2022-11-23T02:10:37.7008031Z   test_nn_GroupNorm_2d_no_affine_IN (__main__.TestJitGeneratedModule) ... ok (0.124s)
2022-11-23T02:10:37.7008474Z   test_nn_GroupNorm_2d_no_affine_LN (__main__.TestJitGeneratedModule) ... ok (0.125s)
2022-11-23T02:10:37.7008913Z   test_nn_GroupNorm_2d_no_affine_large_feature (__main__.TestJitGeneratedModule) ... ok (0.141s)
2022-11-23T02:10:37.7009364Z   test_nn_Hardshrink (__main__.TestJitGeneratedModule) ... ok (0.062s)
2022-11-23T02:10:37.7009800Z   test_nn_Hardshrink_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.061s)
2022-11-23T02:10:37.7010452Z   test_nn_Hardshrink_scalar (__main__.TestJitGeneratedModule) ... ok (0.061s)
2022-11-23T02:10:37.7010911Z   test_nn_Hardsigmoid_no_batch_dim (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.004s)
2022-11-23T02:10:37.7011433Z   test_nn_Hardswish_no_batch_dim (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.003s)
2022-11-23T02:10:37.7011896Z   test_nn_Hardtanh (__main__.TestJitGeneratedModule) ... ok (0.076s)
2022-11-23T02:10:37.7012303Z   test_nn_Hardtanh_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.078s)
2022-11-23T02:10:37.7012725Z   test_nn_Hardtanh_scalar (__main__.TestJitGeneratedModule) ... ok (0.076s)
2022-11-23T02:10:37.7013160Z   test_nn_HingeEmbeddingLoss (__main__.TestJitGeneratedModule) ... ok (0.065s)
2022-11-23T02:10:37.7013616Z   test_nn_HingeEmbeddingLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T02:10:37.7014072Z   test_nn_HingeEmbeddingLoss_margin_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7014569Z   test_nn_HingeEmbeddingLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T02:10:37.7015056Z   test_nn_HingeEmbeddingLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T02:10:37.7015533Z   test_nn_HingeEmbeddingLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T02:10:37.7016519Z   test_nn_HingeEmbeddingLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7017039Z   test_nn_HingeEmbeddingLoss_scalar_margin (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T02:10:37.7017477Z   test_nn_HuberLoss (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.7017868Z   test_nn_HuberLoss_delta (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7018302Z   test_nn_HuberLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.043s)
2022-11-23T02:10:37.7018746Z   test_nn_HuberLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.043s)
2022-11-23T02:10:37.7019184Z   test_nn_HuberLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.044s)
2022-11-23T02:10:37.7019617Z   test_nn_InstanceNorm1d (__main__.TestJitGeneratedModule) ... ok (0.173s)
2022-11-23T02:10:37.7020050Z   test_nn_InstanceNorm1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.167s)
2022-11-23T02:10:37.7020507Z   test_nn_InstanceNorm1d_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.181s)
2022-11-23T02:10:37.7020973Z   test_nn_InstanceNorm1d_tracking_stats_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.182s)
2022-11-23T02:10:37.7021423Z   test_nn_InstanceNorm2d (__main__.TestJitGeneratedModule) ... ok (0.171s)
2022-11-23T02:10:37.7021863Z   test_nn_InstanceNorm2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.170s)
2022-11-23T02:10:37.7022298Z   test_nn_InstanceNorm2d_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.184s)
2022-11-23T02:10:37.7022775Z   test_nn_InstanceNorm2d_tracking_stats_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.184s)
2022-11-23T02:10:37.7023236Z   test_nn_InstanceNorm3d (__main__.TestJitGeneratedModule) ... ok (0.173s)
2022-11-23T02:10:37.7023675Z   test_nn_InstanceNorm3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.169s)
2022-11-23T02:10:37.7024108Z   test_nn_InstanceNorm3d_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.185s)
2022-11-23T02:10:37.7024592Z   test_nn_InstanceNorm3d_tracking_stats_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.181s)
2022-11-23T02:10:37.7025037Z   test_nn_KLDivLoss (__main__.TestJitGeneratedModule) ... ok (0.077s)
2022-11-23T02:10:37.7025458Z   test_nn_KLDivLoss_log_target (__main__.TestJitGeneratedModule) ... ok (0.058s)
2022-11-23T02:10:37.7025878Z   test_nn_KLDivLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.058s)
2022-11-23T02:10:37.7026327Z   test_nn_KLDivLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.058s)
2022-11-23T02:10:37.7026959Z   test_nn_KLDivLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.058s)
2022-11-23T02:10:37.7027376Z   test_nn_KLDivLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7027818Z   test_nn_KLDivLoss_no_reduce_log_target (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7028282Z   test_nn_KLDivLoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7028751Z   test_nn_KLDivLoss_no_reduce_scalar_log_target (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7029183Z   test_nn_KLDivLoss_scalar (__main__.TestJitGeneratedModule) ... ok (0.059s)
2022-11-23T02:10:37.7029617Z   test_nn_KLDivLoss_scalar_log_target (__main__.TestJitGeneratedModule) ... ok (0.059s)
2022-11-23T02:10:37.7030081Z   test_nn_KLDivLoss_with_log_target_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7030536Z   test_nn_KLDivLoss_with_target_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7030966Z   test_nn_L1Loss (__main__.TestJitGeneratedModule) ... ok (0.066s)
2022-11-23T02:10:37.7031381Z   test_nn_L1Loss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T02:10:37.7031819Z   test_nn_L1Loss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T02:10:37.7032321Z   test_nn_L1Loss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T02:10:37.7032760Z   test_nn_L1Loss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7033192Z   test_nn_L1Loss_no_reduce_complex (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7033613Z   test_nn_L1Loss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7034034Z   test_nn_L1Loss_scalar (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T02:10:37.7034443Z   test_nn_LPPool1d (__main__.TestJitGeneratedModule) ... ok (0.187s)
2022-11-23T02:10:37.7034866Z   test_nn_LPPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.184s)
2022-11-23T02:10:37.7035281Z   test_nn_LPPool1d_norm (__main__.TestJitGeneratedModule) ... ok (0.191s)
2022-11-23T02:10:37.7035685Z   test_nn_LPPool2d (__main__.TestJitGeneratedModule) ... ok (0.222s)
2022-11-23T02:10:37.7036154Z   test_nn_LPPool2d_norm (__main__.TestJitGeneratedModule) ... ok (0.237s)
2022-11-23T02:10:37.7036549Z   test_nn_LSTMCell (__main__.TestJitGeneratedModule) ... ok (0.146s)
2022-11-23T02:10:37.7036989Z   test_nn_LayerNorm_1d_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.092s)
2022-11-23T02:10:37.7037464Z   test_nn_LayerNorm_1d_empty_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.083s)
2022-11-23T02:10:37.7037948Z   test_nn_LayerNorm_1d_no_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.082s)
2022-11-23T02:10:37.7038396Z   test_nn_LayerNorm_3d_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.086s)
2022-11-23T02:10:37.7038869Z   test_nn_LayerNorm_3d_no_affine_large_feature (__main__.TestJitGeneratedModule) ... ok (0.194s)
2022-11-23T02:10:37.7039346Z   test_nn_LayerNorm_3d_no_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.081s)
2022-11-23T02:10:37.7039760Z   test_nn_LeakyReLU (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T02:10:37.7040191Z   test_nn_LeakyReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T02:10:37.7040629Z   test_nn_LeakyReLU_with_negval (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T02:10:37.7041071Z   test_nn_LeakyReLU_with_negval_scalar (__main__.TestJitGeneratedModule) ... ok (0.073s)
2022-11-23T02:10:37.7041507Z   test_nn_LeakyReLU_with_zero_negval (__main__.TestJitGeneratedModule) ... ok (0.076s)
2022-11-23T02:10:37.7041930Z   test_nn_Linear (__main__.TestJitGeneratedModule) ... ok (0.069s)
2022-11-23T02:10:37.7042340Z   test_nn_Linear_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.070s)
2022-11-23T02:10:37.7042737Z   test_nn_Linear_no_bias (__main__.TestJitGeneratedModule) ... ok (0.067s)
2022-11-23T02:10:37.7043269Z   test_nn_LocalResponseNorm_1d (__main__.TestJitGeneratedModule) ... ok (0.280s)
2022-11-23T02:10:37.7043725Z   test_nn_LocalResponseNorm_2d_uneven_pad (__main__.TestJitGeneratedModule) ... ok (0.295s)
2022-11-23T02:10:37.7044285Z   test_nn_LocalResponseNorm_3d_custom_params (__main__.TestJitGeneratedModule) ... ok (0.316s)
2022-11-23T02:10:37.7044714Z   test_nn_LogSigmoid (__main__.TestJitGeneratedModule) ... ok (0.060s)
2022-11-23T02:10:37.7045141Z   test_nn_LogSigmoid_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.059s)
2022-11-23T02:10:37.7045577Z   test_nn_LogSigmoid_scalar (__main__.TestJitGeneratedModule) ... ok (0.058s)
2022-11-23T02:10:37.7045973Z   test_nn_LogSoftmax (__main__.TestJitGeneratedModule) ... ok (0.091s)
2022-11-23T02:10:37.7046399Z   test_nn_LogSoftmax_multiparam (__main__.TestJitGeneratedModule) ... ok (0.091s)
2022-11-23T02:10:37.7046845Z   test_nn_LogSoftmax_multiparam_scalar (__main__.TestJitGeneratedModule) ... ok (0.091s)
2022-11-23T02:10:37.7047304Z   test_nn_LogSoftmax_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.092s)
2022-11-23T02:10:37.7047702Z   test_nn_MSELoss (__main__.TestJitGeneratedModule) ... ok (0.068s)
2022-11-23T02:10:37.7048119Z   test_nn_MSELoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T02:10:37.7048617Z   test_nn_MSELoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T02:10:37.7049044Z   test_nn_MSELoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T02:10:37.7049467Z   test_nn_MSELoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7049892Z   test_nn_MSELoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7050313Z   test_nn_MSELoss_prec (__main__.TestJitGeneratedModule) ... ok (0.071s)
2022-11-23T02:10:37.7050701Z   test_nn_MSELoss_scalar (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T02:10:37.7051129Z   test_nn_MarginRankingLoss (__main__.TestJitGeneratedModule) ... ok (0.077s)
2022-11-23T02:10:37.7051587Z   test_nn_MarginRankingLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.058s)
2022-11-23T02:10:37.7052039Z   test_nn_MarginRankingLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.058s)
2022-11-23T02:10:37.7052520Z   test_nn_MarginRankingLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.057s)
2022-11-23T02:10:37.7052996Z   test_nn_MarginRankingLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.057s)
2022-11-23T02:10:37.7053434Z   test_nn_MaxPool1d (__main__.TestJitGeneratedModule) ... ok (0.097s)
2022-11-23T02:10:37.7053842Z   test_nn_MaxPool1d_return_indices (__main__.TestJitGeneratedModule) ... ok (0.103s)
2022-11-23T02:10:37.7054278Z   test_nn_MaxPool1d_stride (__main__.TestJitGeneratedModule) ... ok (0.089s)
2022-11-23T02:10:37.7054700Z   test_nn_MaxPool2d_3d_input (__main__.TestJitGeneratedModule) ... ok (0.090s)
2022-11-23T02:10:37.7055100Z   test_nn_MaxPool2d_4d_input (__main__.TestJitGeneratedModule) ... ok (0.094s)
2022-11-23T02:10:37.7055551Z   test_nn_MaxPool2d_return_indices (__main__.TestJitGeneratedModule) ... ok (0.106s)
2022-11-23T02:10:37.7055973Z   test_nn_MaxPool3d (__main__.TestJitGeneratedModule) ... ok (0.093s)
2022-11-23T02:10:37.7056806Z   test_nn_MaxPool3d_return_indices (__main__.TestJitGeneratedModule) ... ok (0.104s)
2022-11-23T02:10:37.7057233Z   test_nn_MaxPool3d_stride (__main__.TestJitGeneratedModule) ... ok (0.092s)
2022-11-23T02:10:37.7057665Z   test_nn_MaxPool3d_stride_padding (__main__.TestJitGeneratedModule) ... ok (0.092s)
2022-11-23T02:10:37.7058074Z   test_nn_Mish (__main__.TestJitGeneratedModule) ... ok (0.077s)
2022-11-23T02:10:37.7058505Z   test_nn_Mish_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.070s)
2022-11-23T02:10:37.7058915Z   test_nn_Mish_scalar (__main__.TestJitGeneratedModule) ... ok (0.071s)
2022-11-23T02:10:37.7059344Z   test_nn_MultiLabelMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.061s)
2022-11-23T02:10:37.7059986Z   test_nn_MultiLabelMarginLoss_0d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7060434Z   test_nn_MultiLabelMarginLoss_1d (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T02:10:37.7060896Z   test_nn_MultiLabelMarginLoss_1d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7061383Z   test_nn_MultiLabelMarginLoss_index_neg (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7061849Z   test_nn_MultiLabelMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.049s)
2022-11-23T02:10:37.7062344Z   test_nn_MultiLabelMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.049s)
2022-11-23T02:10:37.7062837Z   test_nn_MultiLabelMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T02:10:37.7063316Z   test_nn_MultiLabelMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7063772Z   test_nn_MultiLabelSoftMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.133s)
2022-11-23T02:10:37.7064275Z   test_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.094s)
2022-11-23T02:10:37.7064789Z   test_nn_MultiLabelSoftMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.096s)
2022-11-23T02:10:37.7065421Z   test_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.095s)
2022-11-23T02:10:37.7065917Z   test_nn_MultiLabelSoftMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7066417Z   test_nn_MultiLabelSoftMarginLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.124s)
2022-11-23T02:10:37.7066920Z   test_nn_MultiLabelSoftMarginLoss_weights_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7067370Z   test_nn_MultiMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.072s)
2022-11-23T02:10:37.7067800Z   test_nn_MultiMarginLoss_1d (__main__.TestJitGeneratedModule) ... ok (0.055s)
2022-11-23T02:10:37.7068253Z   test_nn_MultiMarginLoss_1d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7068710Z   test_nn_MultiMarginLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.056s)
2022-11-23T02:10:37.7069148Z   test_nn_MultiMarginLoss_margin_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7069614Z   test_nn_MultiMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7070069Z   test_nn_MultiMarginLoss_p (__main__.TestJitGeneratedModule) ... ok (0.057s)
2022-11-23T02:10:37.7070504Z   test_nn_MultiMarginLoss_p_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7070965Z   test_nn_MultiMarginLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.057s)
2022-11-23T02:10:37.7071424Z   test_nn_MultiMarginLoss_weights_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7071977Z   test_nn_MultiheadAttention (__main__.TestJitGeneratedModule) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2022-11-23T02:10:37.7072471Z   test_nn_NLLLoss (__main__.TestJitGeneratedModule) ... ok (0.062s)
2022-11-23T02:10:37.7072886Z   test_nn_NLLLoss2d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7073336Z   test_nn_NLLLoss2d_no_reduce_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7073778Z   test_nn_NLLLoss2d_no_reduce_weights (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7074223Z   test_nn_NLLLossNd_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7074680Z   test_nn_NLLLossNd_no_reduce_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7075142Z   test_nn_NLLLossNd_no_reduce_weights (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7075555Z   test_nn_NLLLoss_2d (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T02:10:37.7076091Z   test_nn_NLLLoss_2d_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T02:10:37.7076523Z   test_nn_NLLLoss_2d_weights (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T02:10:37.7076926Z   test_nn_NLLLoss_dim_is_3 (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T02:10:37.7077352Z   test_nn_NLLLoss_higher_dim (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T02:10:37.7077783Z   test_nn_NLLLoss_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T02:10:37.7078225Z   test_nn_NLLLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T02:10:37.7078651Z   test_nn_NLLLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T02:10:37.7079090Z   test_nn_NLLLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T02:10:37.7079522Z   test_nn_NLLLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7079941Z   test_nn_NLLLoss_no_reduce_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7080401Z   test_nn_NLLLoss_no_reduce_weights (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7080866Z   test_nn_NLLLoss_no_reduce_weights_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7081431Z   test_nn_NLLLoss_no_reduce_weights_ignore_index_neg (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7081886Z   test_nn_NLLLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T02:10:37.7082322Z   test_nn_NLLLoss_weights_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T02:10:37.7082780Z   test_nn_NLLLoss_weights_ignore_index_neg (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T02:10:37.7083216Z   test_nn_PReLU_1d (__main__.TestJitGeneratedModule) ... ok (0.064s)
2022-11-23T02:10:37.7083611Z   test_nn_PReLU_1d_multiparam (__main__.TestJitGeneratedModule) ... ok (0.064s)
2022-11-23T02:10:37.7084029Z   test_nn_PReLU_2d (__main__.TestJitGeneratedModule) ... ok (0.063s)
2022-11-23T02:10:37.7084445Z   test_nn_PReLU_2d_multiparam (__main__.TestJitGeneratedModule) ... ok (0.065s)
2022-11-23T02:10:37.7084835Z   test_nn_PReLU_3d (__main__.TestJitGeneratedModule) ... ok (0.064s)
2022-11-23T02:10:37.7085262Z   test_nn_PReLU_3d_multiparam (__main__.TestJitGeneratedModule) ... ok (0.065s)
2022-11-23T02:10:37.7085706Z   test_nn_PReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.064s)
2022-11-23T02:10:37.7086130Z   test_nn_PReLU_scalar (__main__.TestJitGeneratedModule) ... ok (0.064s)
2022-11-23T02:10:37.7086546Z   test_nn_Padding122112_3dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7086999Z   test_nn_Padding1221_2dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7087445Z   test_nn_Padding12_1dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7087871Z   test_nn_Padding2322_2dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7088321Z   test_nn_Padding31_1dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7088766Z   test_nn_Padding322112_3dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7089214Z   test_nn_Padding332122_3dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7089641Z   test_nn_Padding3331_2dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7090078Z   test_nn_Padding33_1dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7090518Z   test_nn_PairwiseDistance (__main__.TestJitGeneratedModule) ... ok (0.069s)
2022-11-23T02:10:37.7090955Z   test_nn_PairwiseDistance_broadcast_lhs (__main__.TestJitGeneratedModule) ... ok (0.068s)
2022-11-23T02:10:37.7091431Z   test_nn_PairwiseDistance_broadcast_rhs (__main__.TestJitGeneratedModule) ... ok (0.068s)
2022-11-23T02:10:37.7091903Z   test_nn_PairwiseDistance_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.070s)
2022-11-23T02:10:37.7092525Z   test_nn_PairwiseDistance_with_non_default_args (__main__.TestJitGeneratedModule) ... ok (0.071s)
2022-11-23T02:10:37.7092962Z   test_nn_PixelShuffle (__main__.TestJitGeneratedModule) ... ok (0.062s)
2022-11-23T02:10:37.7093381Z   test_nn_PixelUnshuffle (__main__.TestJitGeneratedModule) ... ok (0.061s)
2022-11-23T02:10:37.7093827Z   test_nn_PoissonNLLLoss_full_loss (__main__.TestJitGeneratedModule) ... ok (0.070s)
2022-11-23T02:10:37.7094276Z   test_nn_PoissonNLLLoss_full_loss_no_log_input (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.7094752Z   test_nn_PoissonNLLLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.7095223Z   test_nn_PoissonNLLLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.056s)
2022-11-23T02:10:37.7095683Z   test_nn_PoissonNLLLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.7096545Z   test_nn_PoissonNLLLoss_no_full_loss (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T02:10:37.7097041Z   test_nn_PoissonNLLLoss_no_full_loss_no_log_input (__main__.TestJitGeneratedModule) ... ok (0.055s)
2022-11-23T02:10:37.7097518Z   test_nn_PoissonNLLLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7097926Z   test_nn_RNNCell (__main__.TestJitGeneratedModule) ... ok (0.127s)
2022-11-23T02:10:37.7098484Z   test_nn_RReLU (__main__.TestJitGeneratedModule) ... ok (0.079s)
2022-11-23T02:10:37.7098912Z   test_nn_RReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.080s)
2022-11-23T02:10:37.7099336Z   test_nn_RReLU_with_up_down (__main__.TestJitGeneratedModule) ... ok (0.079s)
2022-11-23T02:10:37.7099747Z   test_nn_RReLU_with_up_down_scalar (__main__.TestJitGeneratedModule) ... ok (0.080s)
2022-11-23T02:10:37.7100154Z   test_nn_ReLU (__main__.TestJitGeneratedModule) ... ok (0.069s)
2022-11-23T02:10:37.7100533Z   test_nn_ReLU6 (__main__.TestJitGeneratedModule) ... ok (0.077s)
2022-11-23T02:10:37.7100920Z   test_nn_ReLU6_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.076s)
2022-11-23T02:10:37.7101327Z   test_nn_ReLU6_scalar (__main__.TestJitGeneratedModule) ... ok (0.077s)
2022-11-23T02:10:37.7101736Z   test_nn_ReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.070s)
2022-11-23T02:10:37.7102143Z   test_nn_ReLU_scalar (__main__.TestJitGeneratedModule) ... ok (0.071s)
2022-11-23T02:10:37.7102550Z   test_nn_ReflectionPad1d (__main__.TestJitGeneratedModule) ... ok (0.065s)
2022-11-23T02:10:37.7102988Z   test_nn_ReflectionPad1d_batch (__main__.TestJitGeneratedModule) ... ok (0.064s)
2022-11-23T02:10:37.7103443Z   test_nn_ReflectionPad1d_complex (__main__.TestJitGeneratedModule) ... ok (0.065s)
2022-11-23T02:10:37.7103855Z   test_nn_ReflectionPad2d (__main__.TestJitGeneratedModule) ... ok (0.067s)
2022-11-23T02:10:37.7104283Z   test_nn_ReflectionPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.067s)
2022-11-23T02:10:37.7104745Z   test_nn_ReflectionPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.066s)
2022-11-23T02:10:37.7105197Z   test_nn_ReflectionPad3d (__main__.TestJitGeneratedModule) ... ok (0.068s)
2022-11-23T02:10:37.7105623Z   test_nn_ReflectionPad3d_complex (__main__.TestJitGeneratedModule) ... ok (0.071s)
2022-11-23T02:10:37.7106079Z   test_nn_ReflectionPad3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.067s)
2022-11-23T02:10:37.7106528Z   test_nn_ReplicationPad1d (__main__.TestJitGeneratedModule) ... ok (0.065s)
2022-11-23T02:10:37.7106954Z   test_nn_ReplicationPad1d_batch (__main__.TestJitGeneratedModule) ... ok (0.064s)
2022-11-23T02:10:37.7107180Z   test_nn_ReplicationPad1d_complex (__main__.TestJitGeneratedModule) ... ok (0.066s)
2022-11-23T02:10:37.7107390Z   test_nn_ReplicationPad2d (__main__.TestJitGeneratedModule) ... ok (0.065s)
2022-11-23T02:10:37.7107606Z   test_nn_ReplicationPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.069s)
2022-11-23T02:10:37.7107832Z   test_nn_ReplicationPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.066s)
2022-11-23T02:10:37.7108199Z   test_nn_ReplicationPad3d (__main__.TestJitGeneratedModule) ... ok (0.066s)
2022-11-23T02:10:37.7108418Z   test_nn_ReplicationPad3d_complex (__main__.TestJitGeneratedModule) ... ok (0.068s)
2022-11-23T02:10:37.7108641Z   test_nn_ReplicationPad3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.067s)
2022-11-23T02:10:37.7108806Z   test_nn_SELU (__main__.TestJitGeneratedModule) ... ok (0.070s)
2022-11-23T02:10:37.7109010Z   test_nn_SELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.070s)
2022-11-23T02:10:37.7109205Z   test_nn_SELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.069s)
2022-11-23T02:10:37.7109386Z   test_nn_SiLU (__main__.TestJitGeneratedModule) ... ok (0.072s)
2022-11-23T02:10:37.7109586Z   test_nn_SiLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.071s)
2022-11-23T02:10:37.7109784Z   test_nn_SiLU_scalar (__main__.TestJitGeneratedModule) ... ok (0.071s)
2022-11-23T02:10:37.7109974Z   test_nn_Sigmoid (__main__.TestJitGeneratedModule) ... ok (0.059s)
2022-11-23T02:10:37.7110187Z   test_nn_Sigmoid_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.058s)
2022-11-23T02:10:37.7110369Z   test_nn_Sigmoid_scalar (__main__.TestJitGeneratedModule) ... ok (0.057s)
2022-11-23T02:10:37.7110565Z   test_nn_SmoothL1Loss (__main__.TestJitGeneratedModule) ... ok (0.066s)
2022-11-23T02:10:37.7110868Z   test_nn_SmoothL1Loss_beta (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7111099Z   test_nn_SmoothL1Loss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T02:10:37.7111320Z   test_nn_SmoothL1Loss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T02:10:37.7111540Z   test_nn_SmoothL1Loss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T02:10:37.7111751Z   test_nn_SmoothL1Loss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7111971Z   test_nn_SmoothL1Loss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7112172Z   test_nn_SmoothL1Loss_scalar (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T02:10:37.7112382Z   test_nn_SmoothL1Loss_zero_beta (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7112585Z   test_nn_SoftMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.060s)
2022-11-23T02:10:37.7112816Z   test_nn_SoftMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T02:10:37.7113040Z   test_nn_SoftMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T02:10:37.7113262Z   test_nn_SoftMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.049s)
2022-11-23T02:10:37.7113486Z   test_nn_SoftMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7113671Z   test_nn_Softmax (__main__.TestJitGeneratedModule) ... ok (0.101s)
2022-11-23T02:10:37.7113842Z   test_nn_Softmax2d (__main__.TestJitGeneratedModule) ... ok (0.101s)
2022-11-23T02:10:37.7114054Z   test_nn_Softmax2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.101s)
2022-11-23T02:10:37.7114258Z   test_nn_Softmax_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.091s)
2022-11-23T02:10:37.7114452Z   test_nn_Softmax_scalar (__main__.TestJitGeneratedModule) ... ok (0.092s)
2022-11-23T02:10:37.7114642Z   test_nn_Softmin (__main__.TestJitGeneratedModule) ... ok (0.111s)
2022-11-23T02:10:37.7114842Z   test_nn_Softmin_multidim (__main__.TestJitGeneratedModule) ... ok (0.102s)
2022-11-23T02:10:37.7115047Z   test_nn_Softmin_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.102s)
2022-11-23T02:10:37.7115240Z   test_nn_Softmin_scalar (__main__.TestJitGeneratedModule) ... ok (0.102s)
2022-11-23T02:10:37.7115413Z   test_nn_Softplus (__main__.TestJitGeneratedModule) ... ok (0.063s)
2022-11-23T02:10:37.7115609Z   test_nn_Softplus_beta (__main__.TestJitGeneratedModule) ... ok (0.064s)
2022-11-23T02:10:37.7115821Z   test_nn_Softplus_beta_threshold (__main__.TestJitGeneratedModule) ... ok (0.063s)
2022-11-23T02:10:37.7116140Z   test_nn_Softplus_beta_threshold_scalar (__main__.TestJitGeneratedModule) ... ok (0.063s)
2022-11-23T02:10:37.7116362Z   test_nn_Softplus_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.065s)
2022-11-23T02:10:37.7116556Z   test_nn_Softshrink (__main__.TestJitGeneratedModule) ... ok (0.062s)
2022-11-23T02:10:37.7116765Z   test_nn_Softshrink_lambda (__main__.TestJitGeneratedModule) ... ok (0.060s)
2022-11-23T02:10:37.7116980Z   test_nn_Softshrink_lambda_scalar (__main__.TestJitGeneratedModule) ... ok (0.061s)
2022-11-23T02:10:37.7117170Z   test_nn_Softshrink_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.062s)
2022-11-23T02:10:37.7117420Z   test_nn_Softsign (__main__.TestJitGeneratedModule) ... ok (0.143s)
2022-11-23T02:10:37.7117624Z   test_nn_Softsign_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.122s)
2022-11-23T02:10:37.7117822Z   test_nn_Softsign_scalar (__main__.TestJitGeneratedModule) ... ok (0.119s)
2022-11-23T02:10:37.7118008Z   test_nn_Tanh (__main__.TestJitGeneratedModule) ... ok (0.059s)
2022-11-23T02:10:37.7118208Z   test_nn_Tanh_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.058s)
2022-11-23T02:10:37.7118398Z   test_nn_Tanh_scalar (__main__.TestJitGeneratedModule) ... ok (0.058s)
2022-11-23T02:10:37.7118596Z   test_nn_Tanhshrink (__main__.TestJitGeneratedModule) ... ok (0.196s)
2022-11-23T02:10:37.7118844Z   test_nn_Tanhshrink_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.114s)
2022-11-23T02:10:37.7119054Z   test_nn_Tanhshrink_scalar (__main__.TestJitGeneratedModule) ... ok (0.113s)
2022-11-23T02:10:37.7119263Z   test_nn_Threshold_large_value (__main__.TestJitGeneratedModule) ... ok (0.081s)
2022-11-23T02:10:37.7119469Z   test_nn_Threshold_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.076s)
2022-11-23T02:10:37.7119686Z   test_nn_Threshold_threshold_value (__main__.TestJitGeneratedModule) ... ok (0.077s)
2022-11-23T02:10:37.7119917Z   test_nn_Threshold_threshold_value_scalar (__main__.TestJitGeneratedModule) ... ok (0.078s)
2022-11-23T02:10:37.7120216Z   test_nn_Transformer (__main__.TestJitGeneratedModule) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2022-11-23T02:10:37.7120465Z   test_nn_TransformerDecoderLayer_gelu_activation (__main__.TestJitGeneratedModule) ... ok (3.288s)
2022-11-23T02:10:37.7120718Z   test_nn_TransformerDecoderLayer_relu_activation (__main__.TestJitGeneratedModule) ... ok (3.158s)
2022-11-23T02:10:37.7120949Z   test_nn_TransformerEncoderLayer_gelu_activation (__main__.TestJitGeneratedModule) ... ok (2.786s)
2022-11-23T02:10:37.7121202Z   test_nn_TransformerEncoderLayer_relu_activation (__main__.TestJitGeneratedModule) ... ok (2.822s)
2022-11-23T02:10:37.7121427Z   test_nn_Transformer_multilayer_coder (__main__.TestJitGeneratedModule) ... ok (10.366s)
2022-11-23T02:10:37.7121661Z   test_nn_TripletMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.073s)
2022-11-23T02:10:37.7121890Z   test_nn_TripletMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.057s)
2022-11-23T02:10:37.7122125Z   test_nn_TripletMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.057s)
2022-11-23T02:10:37.7122336Z   test_nn_Unflatten_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.066s)
2022-11-23T02:10:37.7122522Z   test_nn_Unfold (__main__.TestJitGeneratedModule) ... ok (0.091s)
2022-11-23T02:10:37.7122707Z   test_nn_Unfold_int_input (__main__.TestJitGeneratedModule) ... ok (0.084s)
2022-11-23T02:10:37.7122905Z   test_nn_ZeroPad2d (__main__.TestJitGeneratedModule) ... ok (0.069s)
2022-11-23T02:10:37.7123111Z   test_nn_ZeroPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.068s)
2022-11-23T02:10:37.7123322Z   test_nn_ZeroPad2d_negative_dims (__main__.TestJitGeneratedModule) ... ok (0.069s)
2022-11-23T02:10:37.7123532Z   test_nn_ZeroPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.069s)
2022-11-23T02:10:37.7123743Z   test_nn_interpolate_bicubic_2d (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7124053Z   test_nn_interpolate_bicubic_2d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7124271Z   test_nn_interpolate_bicubic_scale_2d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7124493Z   test_nn_interpolate_bicubic_scale_tuple_shared_2d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7124740Z   test_nn_interpolate_bicubic_scale_tuple_skewed_2d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7124999Z   test_nn_interpolate_bicubic_scale_tuple_skewed_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7125217Z   test_nn_interpolate_bicubic_tuple_2d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7125456Z   test_nn_interpolate_bicubic_tuple_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7125673Z   test_nn_interpolate_bilinear_2d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7125902Z   test_nn_interpolate_bilinear_2d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7126128Z   test_nn_interpolate_bilinear_scale_2d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7126368Z   test_nn_interpolate_bilinear_scale_tuple_shared_2d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7126652Z   test_nn_interpolate_bilinear_scale_tuple_skewed_2d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7126925Z   test_nn_interpolate_bilinear_scale_tuple_skewed_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7127147Z   test_nn_interpolate_bilinear_tuple_2d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7127390Z   test_nn_interpolate_bilinear_tuple_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7127598Z   test_nn_interpolate_linear_1d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7127830Z   test_nn_interpolate_linear_1d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7128053Z   test_nn_interpolate_linear_1d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7128270Z   test_nn_interpolate_linear_scale_1d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7128514Z   test_nn_interpolate_linear_scale_1d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7128716Z   test_nn_interpolate_linear_tuple_1d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7128927Z   test_nn_interpolate_nearest_1d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7129146Z   test_nn_interpolate_nearest_1d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7129358Z   test_nn_interpolate_nearest_2d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7129589Z   test_nn_interpolate_nearest_2d_launch_configs (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7129814Z   test_nn_interpolate_nearest_2d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7130017Z   test_nn_interpolate_nearest_3d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7130236Z   test_nn_interpolate_nearest_3d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7130439Z   test_nn_interpolate_nearest_scale_1d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7130667Z   test_nn_interpolate_nearest_scale_2d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7130883Z   test_nn_interpolate_nearest_scale_3d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7131100Z   test_nn_interpolate_nearest_tuple_1d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7131312Z   test_nn_interpolate_nearest_tuple_2d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7131604Z   test_nn_interpolate_nearest_tuple_3d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7131817Z   test_nn_interpolate_trilinear_3d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7132044Z   test_nn_interpolate_trilinear_3d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7132279Z   test_nn_interpolate_trilinear_scale_3d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7132504Z   test_nn_interpolate_trilinear_scale_3d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7132724Z   test_nn_interpolate_trilinear_tuple_3d (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7132969Z   test_nn_interpolate_trilinear_tuple_3d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7133170Z   test_nn_log_softmax_dim0 (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7133375Z   test_nn_log_softmax_dim3 (__main__.TestJitGeneratedModule) ... ok (0.004s)
2022-11-23T02:10:37.7133587Z   test_nn_log_softmax_lastdim (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7133787Z   test_nn_log_softmax_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7133989Z   test_nn_log_softmax_spatial (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7134244Z   test_nn_log_softmax_spatial_special (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7134497Z   test_nn_multimarginloss_1d_input_0d_target_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7134714Z   test_nn_softmax_functional_dim0 (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7134931Z   test_nn_softmax_functional_dim3 (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7135145Z   test_nn_softmax_functional_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7135347Z   test_nn_softmax_lastdim (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7135563Z   test_nn_softmax_lastdim_dtype (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7135764Z   test_nn_softmax_spatial (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7135956Z   test_nn_softmax_spatial_dtype (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7136634Z   test_nn_softmax_spatial_special (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T02:10:37.7136886Z   test_checkscriptassertraisesregex (jit.test_jit_utils.TestJitUtils) ... ok (0.003s)
2022-11-23T02:10:37.7137110Z   test_get_callable_argument_names_hybrid (jit.test_jit_utils.TestJitUtils) ... ok (0.002s)
2022-11-23T02:10:37.7137338Z   test_get_callable_argument_names_keyword_only (jit.test_jit_utils.TestJitUtils) ... ok (0.001s)
2022-11-23T02:10:37.7137577Z   test_get_callable_argument_names_positional_only (jit.test_jit_utils.TestJitUtils) ... ok (0.002s)
2022-11-23T02:10:37.7137824Z   test_get_callable_argument_names_positional_or_keyword (jit.test_jit_utils.TestJitUtils) ... ok (0.001s)
2022-11-23T02:10:37.7138056Z   test_get_callable_argument_names_var_keyword (jit.test_jit_utils.TestJitUtils) ... ok (0.001s)
2022-11-23T02:10:37.7138289Z   test_get_callable_argument_names_var_positional (jit.test_jit_utils.TestJitUtils) ... ok (0.001s)
2022-11-23T02:10:37.7138485Z   test_no_tracer_warn_context_manager (jit.test_jit_utils.TestJitUtils) ... ok (0.001s)
2022-11-23T02:10:37.7138686Z   test_comprehension_iterable (jit.test_list_dict.TestList) ... ok (0.032s)
2022-11-23T02:10:37.7138901Z   test_comprehension_out_type_not_in_type (jit.test_list_dict.TestList) ... ok (0.013s)
2022-11-23T02:10:37.7139096Z   test_comprehensions_basic (jit.test_list_dict.TestList) ... ok (0.014s)
2022-11-23T02:10:37.7139298Z   test_comprehensions_basic_float (jit.test_list_dict.TestList) ... ok (0.014s)
2022-11-23T02:10:37.7139500Z   test_comprehensions_two_comps (jit.test_list_dict.TestList) ... ok (0.011s)
2022-11-23T02:10:37.7139859Z   test_copy_list_immutable (jit.test_list_dict.TestList) ... ok (0.005s)
2022-11-23T02:10:37.7140050Z   test_copy_list_mutable (jit.test_list_dict.TestList) ... ok (0.006s)
2022-11-23T02:10:37.7140196Z   test_del (jit.test_list_dict.TestList) ... ok (0.018s)
2022-11-23T02:10:37.7140408Z   test_dict_keyword_is_correctly_typed (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7140634Z   test_dict_keyword_with_dict_comprehension (jit.test_list_dict.TestList) ... ok (0.011s)
2022-11-23T02:10:37.7140872Z   test_dict_keyword_with_dict_comprehension_and_kwargs (jit.test_list_dict.TestList) ... ok (0.011s)
2022-11-23T02:10:37.7141098Z   test_dict_keyword_with_empty_dict_comprehension (jit.test_list_dict.TestList) ... ok (0.006s)
2022-11-23T02:10:37.7141307Z   test_dict_keyword_with_empty_iterable (jit.test_list_dict.TestList) ... ok (0.005s)
2022-11-23T02:10:37.7141538Z   test_dict_keyword_with_internal_aggregate_function (jit.test_list_dict.TestList) ... ok (0.011s)
2022-11-23T02:10:37.7141743Z   test_dict_keyword_with_iterable (jit.test_list_dict.TestList) ... ok (0.010s)
2022-11-23T02:10:37.7141922Z   test_dict_keyword_with_kwargs (jit.test_list_dict.TestList) ... ok (0.010s)
2022-11-23T02:10:37.7142163Z   test_dict_keyword_with_kwargs_using_container_values (jit.test_list_dict.TestList) ... ok (0.014s)
2022-11-23T02:10:37.7142366Z   test_dict_keyword_with_mapping (jit.test_list_dict.TestList) ... ok (0.007s)
2022-11-23T02:10:37.7142683Z   test_dict_keyword_with_mapping_and_kwargs (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7142922Z   test_dict_keyword_with_mismatched_annotations (jit.test_list_dict.TestList) ... ok (0.003s)
2022-11-23T02:10:37.7143132Z   test_dict_keyword_with_nested_call (jit.test_list_dict.TestList) ... ok (0.011s)
2022-11-23T02:10:37.7143365Z   test_dict_keyword_with_previously_declared_variable (jit.test_list_dict.TestList) ... ok (0.007s)
2022-11-23T02:10:37.7143617Z   test_dict_keyword_with_previously_declared_variable_and_kwargs (jit.test_list_dict.TestList) ... ok (0.009s)
2022-11-23T02:10:37.7143816Z   test_extend_list_immutable (jit.test_list_dict.TestList) ... ok (0.007s)
2022-11-23T02:10:37.7144042Z   test_extend_list_mutable (jit.test_list_dict.TestList) ... ok (0.010s)
2022-11-23T02:10:37.7144222Z   test_in_check (jit.test_list_dict.TestList) ... ok (0.026s)
2022-11-23T02:10:37.7144411Z   test_list_bool_conversion (jit.test_list_dict.TestList) ... ok (0.038s)
2022-11-23T02:10:37.7144591Z   test_list_count (jit.test_list_dict.TestList) ... ok (0.013s)
2022-11-23T02:10:37.7144786Z   test_list_count_not_existing (jit.test_list_dict.TestList) ... ok (0.007s)
2022-11-23T02:10:37.7144965Z   test_list_gather (jit.test_list_dict.TestList) ... ok (0.022s)
2022-11-23T02:10:37.7145139Z   test_list_index (jit.test_list_dict.TestList) ... ok (0.013s)
2022-11-23T02:10:37.7145331Z   test_list_index_not_existing (jit.test_list_dict.TestList) ... ok (0.023s)
2022-11-23T02:10:37.7145491Z   test_list_keyword (jit.test_list_dict.TestList) ... ok (0.027s)
2022-11-23T02:10:37.7145666Z   test_list_len (jit.test_list_dict.TestList) ... ok (0.011s)
2022-11-23T02:10:37.7145842Z   test_list_literal (jit.test_list_dict.TestList) ... ok (0.024s)
2022-11-23T02:10:37.7146016Z   test_list_none (jit.test_list_dict.TestList) ... ok (0.001s)
2022-11-23T02:10:37.7146190Z   test_list_ops (jit.test_list_dict.TestList) ... ok (0.096s)
2022-11-23T02:10:37.7146372Z   test_list_slice (jit.test_list_dict.TestList) ... ok (0.040s)
2022-11-23T02:10:37.7146546Z   test_list_sort (jit.test_list_dict.TestList) ... ok (0.059s)
2022-11-23T02:10:37.7146718Z   test_list_unification_hint (jit.test_list_dict.TestList) ... ok (0.002s)
2022-11-23T02:10:37.7146880Z   test_list_variance (jit.test_list_dict.TestList)
2022-11-23T02:10:37.7147071Z `List[T1]` is not a subtype of `List[T2]`, even if `T1` is a ... ok (0.019s)
2022-11-23T02:10:37.7147247Z   test_min_bool_list (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7147422Z   test_min_max_list (jit.test_list_dict.TestList) ... ok (0.111s)
2022-11-23T02:10:37.7147702Z   test_min_max_single_list (jit.test_list_dict.TestList) ... ok (0.076s)
2022-11-23T02:10:37.7147896Z   test_mutable_list_append (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7148088Z   test_mutable_list_append_2 (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7148262Z   test_mutable_list_append_if (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7148472Z   test_mutable_list_append_if_else (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7148669Z   test_mutable_list_append_loop (jit.test_list_dict.TestList) ... ok (0.010s)
2022-11-23T02:10:37.7148875Z   test_mutable_list_append_loop_if (jit.test_list_dict.TestList) ... ok (0.014s)
2022-11-23T02:10:37.7149062Z   test_mutable_list_clear (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7149263Z   test_mutable_list_clear_empty (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7149468Z   test_mutable_list_function_inline (jit.test_list_dict.TestList) ... ok (0.010s)
2022-11-23T02:10:37.7149662Z   test_mutable_list_insert (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7149854Z   test_mutable_list_insert_neg_out_of_bounds (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7150058Z   test_mutable_list_insert_negative (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7150320Z   test_mutable_list_insert_out_of_bounds (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7150530Z   test_mutable_list_nested_loop (jit.test_list_dict.TestList) ... ok (0.011s)
2022-11-23T02:10:37.7150716Z   test_mutable_list_pop (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7150905Z   test_mutable_list_pop2 (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7151097Z   test_mutable_list_pop_at (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7151287Z   test_mutable_list_pop_at2 (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7151477Z   test_mutable_list_pop_at_negative (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7151682Z   test_mutable_list_pop_at_negative2 (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7151876Z   test_mutable_list_pop_empty (jit.test_list_dict.TestList) ... ok (0.010s)
2022-11-23T02:10:37.7152066Z   test_mutable_list_pop_slice (jit.test_list_dict.TestList) ... ok (0.009s)
2022-11-23T02:10:37.7152257Z   test_mutable_list_remove (jit.test_list_dict.TestList) ... ok (0.014s)
2022-11-23T02:10:37.7152446Z   test_mutable_list_remove2 (jit.test_list_dict.TestList) ... ok (0.007s)
2022-11-23T02:10:37.7152651Z   test_mutable_list_remove_not_existing (jit.test_list_dict.TestList) ... ok (0.010s)
2022-11-23T02:10:37.7152848Z   test_mutable_list_remove_tensor (jit.test_list_dict.TestList) ... ok (0.012s)
2022-11-23T02:10:37.7153015Z   test_mutable_list_reverse (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T02:10:37.7153219Z   test_mutable_list_reverse_empty (jit.test_list_dict.TestList) ... ok (0.007s)
2022-11-23T02:10:37.7153424Z   test_mutable_tensor_list_reverse (jit.test_list_dict.TestList) ... ok (0.011s)
2022-11-23T02:10:37.7153623Z   test_no_element_type_annotation (jit.test_list_dict.TestList) ... ok (0.005s)
2022-11-23T02:10:37.7153801Z   test_slice_index (jit.test_list_dict.TestList) ... ok (0.050s)
2022-11-23T02:10:37.7153988Z   test_tensor_list_count (jit.test_list_dict.TestList) ... ok (0.010s)
2022-11-23T02:10:37.7154191Z   test_tensor_list_count_not_existing (jit.test_list_dict.TestList) ... ok (0.010s)
2022-11-23T02:10:37.7154376Z   test_tensor_list_index (jit.test_list_dict.TestList) ... ok (0.010s)
2022-11-23T02:10:37.7154564Z   test_tensor_list_index_not_existing (jit.test_list_dict.TestList) ... ok (0.025s)
2022-11-23T02:10:37.7154722Z   test_to_list (jit.test_list_dict.TestList)
2022-11-23T02:10:37.7154891Z Unit tests for Tensor.tolist() function. ... ok (0.395s)
2022-11-23T02:10:37.7155051Z   test_to_list_gpu (jit.test_list_dict.TestList)
2022-11-23T02:10:37.7155298Z GPU tests for Tensor.tolist() function. ... ok (0.026s)
2022-11-23T02:10:37.7155510Z   test_bump_numeric_counter (jit.test_logging.TestLogging) ... ok (0.013s)
2022-11-23T02:10:37.7155714Z   test_counter_aggregation (jit.test_logging.TestLogging) ... ok (0.013s)
2022-11-23T02:10:37.7155908Z   test_logging_levels_set (jit.test_logging.TestLogging) ... ok (0.001s)
2022-11-23T02:10:37.7156097Z   test_time_measurement_counter (jit.test_logging.TestLogging) ... ok (0.004s)
2022-11-23T02:10:37.7156316Z   test_time_measurement_counter_script (jit.test_logging.TestLogging) ... ok (0.012s)
2022-11-23T02:10:37.7156514Z   test_trace_numeric_counter (jit.test_logging.TestLogging) ... ok (0.011s)
2022-11-23T02:10:37.7156741Z   test_always_alive_values (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.034s)
2022-11-23T02:10:37.7156957Z   test_merge_liveness (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.021s)
2022-11-23T02:10:37.7157167Z   test_successful (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.021s)
2022-11-23T02:10:37.7157402Z   test_switch_inputs_to_inplace (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.019s)
2022-11-23T02:10:37.7157564Z   test_broadcasting_list (jit.test_misc.TestMisc)
2022-11-23T02:10:37.7157730Z Test BroadcastingList and torch.nn._size_N_t alias ... ok (0.010s)
2022-11-23T02:10:37.7157922Z   test_export_opnames_interface (jit.test_misc.TestMisc) ... ok (0.043s)
2022-11-23T02:10:37.7158245Z   test_future_isinstance (jit.test_misc.TestMisc) ... ok (0.006s)
2022-11-23T02:10:37.7158428Z   test_hacked_twin (jit.test_misc.TestMisc) ... ok (0.003s)
2022-11-23T02:10:37.7158589Z   test_if_returning_any (jit.test_misc.TestMisc)
2022-11-23T02:10:37.7158767Z Check that an if statement can return different ... ok (0.010s)
2022-11-23T02:10:37.7158934Z   test_joined_str (jit.test_misc.TestMisc) ... ok (0.007s)
2022-11-23T02:10:37.7159089Z   test_kwarg_support (jit.test_misc.TestMisc) ... ok (0.013s)
2022-11-23T02:10:37.7159282Z   test_legacy_tensor_constructor (jit.test_misc.TestMisc) ... ok (0.031s)
2022-11-23T02:10:37.7159465Z   test_list_literal_infer (jit.test_misc.TestMisc) ... ok (0.016s)
2022-11-23T02:10:37.7159633Z   test_math_inf (jit.test_misc.TestMisc) ... ok (0.005s)
2022-11-23T02:10:37.7159815Z   test_parse_ir_annotate (jit.test_misc.TestMisc) ... ok (0.001s)
2022-11-23T02:10:37.7160022Z   test_parse_ir_single_element_tensor_negative (jit.test_misc.TestMisc) ... ok (0.001s)
2022-11-23T02:10:37.7160236Z   test_parse_ir_single_element_tensor_positive (jit.test_misc.TestMisc) ... ok (0.001s)
2022-11-23T02:10:37.7160425Z   test_script_many_decorators (jit.test_misc.TestMisc) ... ok (0.005s)
2022-11-23T02:10:37.7160580Z   test_str_refine_any (jit.test_misc.TestMisc) ... ok (0.006s)
2022-11-23T02:10:37.7160782Z   test_subexpression_Dict_int_Future (jit.test_misc.TestMisc) ... ok (0.005s)
2022-11-23T02:10:37.7160978Z   test_subexpression_Future_annotate (jit.test_misc.TestMisc) ... ok (0.005s)
2022-11-23T02:10:37.7161171Z   test_subexpression_List_Future (jit.test_misc.TestMisc) ... ok (0.005s)
2022-11-23T02:10:37.7161367Z   test_subexpression_Optional (jit.test_misc.TestMisc) ... ok (0.007s)
2022-11-23T02:10:37.7161574Z   test_subexpression_Tuple_int_int_Future (jit.test_misc.TestMisc) ... ok (0.005s)
2022-11-23T02:10:37.7161766Z   test_tuple_subscripted_assign (jit.test_misc.TestMisc) ... ok (0.004s)
2022-11-23T02:10:37.7162026Z   test_call_script_fn_from_traced_module (jit.test_tracer.TestMixTracingScripting) ... ok (0.020s)
2022-11-23T02:10:37.7162268Z   test_call_script_module_from_traced_module (jit.test_tracer.TestMixTracingScripting) ... ok (0.029s)
2022-11-23T02:10:37.7162508Z   test_call_traced_fn_from_script_fn (jit.test_tracer.TestMixTracingScripting) ... ok (0.013s)
2022-11-23T02:10:37.7162752Z   test_call_traced_mod_from_script_fn (jit.test_tracer.TestMixTracingScripting) ... ok (0.018s)
2022-11-23T02:10:37.7162995Z   test_call_tracing_fn_from_script_module (jit.test_tracer.TestMixTracingScripting) ... ok (0.016s)
2022-11-23T02:10:37.7163249Z   test_call_tracing_mod_from_script_module (jit.test_tracer.TestMixTracingScripting) ... ok (0.023s)
2022-11-23T02:10:37.7163582Z   test_script_inline_trace_multiple_args (jit.test_tracer.TestMixTracingScripting) ... ok (0.021s)
2022-11-23T02:10:37.7163808Z   test_trace_dict_mix_script (jit.test_tracer.TestMixTracingScripting) ... ok (0.075s)
2022-11-23T02:10:37.7164029Z   test_trace_hierarchy (jit.test_tracer.TestMixTracingScripting) ... ok (0.046s)
2022-11-23T02:10:37.7164251Z   test_trace_linear (jit.test_tracer.TestMixTracingScripting) ... ok (0.034s)
2022-11-23T02:10:37.7164484Z   test_trace_mixed_by_script_with_dict_output (jit.test_tracer.TestMixTracingScripting) ... ok (0.021s)
2022-11-23T02:10:37.7164714Z   test_trace_of_script (jit.test_tracer.TestMixTracingScripting) ... ok (0.021s)
2022-11-23T02:10:37.7164935Z   test_trace_parameter (jit.test_tracer.TestMixTracingScripting) ... ok (0.044s)
2022-11-23T02:10:37.7165177Z   test_trace_returning_dict_with_tensor_tuples (jit.test_tracer.TestMixTracingScripting)
2022-11-23T02:10:37.7165408Z Tracing over a module returning a dictionary whose values are tuples of tensors ... ok (0.022s)
2022-11-23T02:10:37.7165626Z   test_trace_script (jit.test_tracer.TestMixTracingScripting) ... ok (0.245s)
2022-11-23T02:10:37.7165863Z   test_trace_script_returning_complex_dict (jit.test_tracer.TestMixTracingScripting)
2022-11-23T02:10:37.7166175Z Tracing over a script function returning a dictionary should work. ... ok (0.047s)
2022-11-23T02:10:37.7166384Z   test_trace_with_size (jit.test_tracer.TestMixTracingScripting) ... ok (0.016s)
2022-11-23T02:10:37.7166661Z   test_traced_module_contains_scripted_interface_types (jit.test_tracer.TestMixTracingScripting) ... ok (0.116s)
2022-11-23T02:10:37.7166915Z   test_traced_module_implements_interface (jit.test_tracer.TestMixTracingScripting) ... ok (0.100s)
2022-11-23T02:10:37.7167143Z   test_tracing_indexing (jit.test_tracer.TestMixTracingScripting) ... ok (0.014s)
2022-11-23T02:10:37.7167366Z   test_tracing_slicing (jit.test_tracer.TestMixTracingScripting) ... ok (0.015s)
2022-11-23T02:10:37.7167548Z   test_alexnet (jit.test_models.TestModels) ... ok (1.098s)
2022-11-23T02:10:37.7168593Z   test_dcgan_models (jit.test_models.TestModels) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/79142 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T02:10:37.7168792Z   test_dcgan_models_cuda (jit.test_models.TestModels) ... ok (0.690s)
2022-11-23T02:10:37.7168962Z   test_mnist (jit.test_models.TestModels) ... ok (0.610s)
2022-11-23T02:10:37.7169140Z   test_mnist_cuda (jit.test_models.TestModels) ... ok (0.358s)
2022-11-23T02:10:37.7169336Z   test_mnist_training_leaks_no_memory_cuda (jit.test_models.TestModels) ... ok (0.683s)
2022-11-23T02:10:37.7169612Z   test_neural_style (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T02:10:37.7169805Z   test_neural_style_cuda (jit.test_models.TestModels) ... ok (0.922s)
2022-11-23T02:10:37.7170008Z   test_reinforcement_learning (jit.test_models.TestModels) ... ok (0.072s)
2022-11-23T02:10:37.7170214Z   test_reinforcement_learning_cuda (jit.test_models.TestModels) ... ok (0.251s)
2022-11-23T02:10:37.7170510Z   test_script_module_script_resnet (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.005s)
2022-11-23T02:10:37.7170802Z   test_script_module_trace_resnet18 (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T02:10:37.7171062Z   test_snli (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T02:10:37.7171219Z   test_snli_cuda (jit.test_models.TestModels) ... ok (0.655s)
2022-11-23T02:10:37.7171404Z   test_snli_quantized (jit.test_models.TestModels) ... ok (0.814s)
2022-11-23T02:10:37.7171786Z   test_super_resolution (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T02:10:37.7171987Z   test_super_resolution_cuda (jit.test_models.TestModels) ... ok (0.859s)
2022-11-23T02:10:37.7172193Z   test_time_sequence_prediction (jit.test_models.TestModels) ... ok (0.205s)
2022-11-23T02:10:37.7172362Z   test_vae (jit.test_models.TestModels) ... ok (0.235s)
2022-11-23T02:10:37.7172536Z   test_vae_cuda (jit.test_models.TestModels) ... ok (0.370s)
2022-11-23T02:10:37.7172718Z   test_vae_quantized (jit.test_models.TestModels) ... ok (0.140s)
2022-11-23T02:10:37.7172909Z   test_customized_state_dict_methods (jit.test_module_apis.TestModuleAPIs)
2022-11-23T02:10:37.7173101Z Tests that customized state dict methods are in effect ... ok (0.059s)
2022-11-23T02:10:37.7173307Z   test_default_state_dict_methods (jit.test_module_apis.TestModuleAPIs)
2022-11-23T02:10:37.7173518Z Tests that default state dict methods are automatically available ... ok (0.047s)
2022-11-23T02:10:37.7173752Z   test_submodule_customized_state_dict_methods (jit.test_module_apis.TestModuleAPIs)
2022-11-23T02:10:37.7173963Z Tests that customized state dict methods on submodules are in effect ... ok (0.077s)
2022-11-23T02:10:37.7174213Z   test_custom_container_forward (jit.test_module_containers.TestModuleContainers) ... ok (0.139s)
2022-11-23T02:10:37.7174530Z   test_empty_dict_override_contains (jit.test_module_containers.TestModuleContainers) ... ok (0.040s)
2022-11-23T02:10:37.7174790Z   test_module_inplace_construct (jit.test_module_containers.TestModuleContainers) ... ok (0.035s)
2022-11-23T02:10:37.7175039Z   test_module_interface_special_methods (jit.test_module_containers.TestModuleContainers) ... ok (0.099s)
2022-11-23T02:10:37.7175276Z   test_module_properties (jit.test_module_containers.TestModuleContainers) ... ok (0.063s)
2022-11-23T02:10:37.7175507Z   test_moduledict (jit.test_module_containers.TestModuleContainers) ... ok (0.346s)
2022-11-23T02:10:37.7175755Z   test_moduledict_getitem (jit.test_module_containers.TestModuleContainers) ... ok (0.063s)
2022-11-23T02:10:37.7175992Z   test_moduledict_keyerror (jit.test_module_containers.TestModuleContainers) ... ok (0.020s)
2022-11-23T02:10:37.7176729Z   test_normal_list_attribute_with_modules_error (jit.test_module_containers.TestModuleContainers)
2022-11-23T02:10:37.7176956Z Test that an attempt to script a module with a regular list attribute ... ok (0.005s)
2022-11-23T02:10:37.7177216Z   test_parameterdict_script_getitem (jit.test_module_containers.TestModuleContainers) ... ok (0.028s)
2022-11-23T02:10:37.7177452Z   test_parameterlist_script_getitem (jit.test_module_containers.TestModuleContainers) ... ok (0.078s)
2022-11-23T02:10:37.7177707Z   test_parameterlist_script_iter (jit.test_module_containers.TestModuleContainers) ... ok (0.105s)
2022-11-23T02:10:37.7177960Z   test_script_module_list_sequential (jit.test_module_containers.TestModuleContainers) ... ok (0.046s)
2022-11-23T02:10:37.7178209Z   test_script_modulelist_index (jit.test_module_containers.TestModuleContainers) ... ok (0.178s)
2022-11-23T02:10:37.7178474Z   test_sequential_intermediary_types (jit.test_module_containers.TestModuleContainers) ... ok (0.048s)
2022-11-23T02:10:37.7178729Z   test_special_method_with_override (jit.test_module_containers.TestModuleContainers) ... ok (0.048s)
2022-11-23T02:10:37.7178957Z   test_typed_module_dict (jit.test_module_containers.TestModuleContainers)
2022-11-23T02:10:37.7179178Z Test that a type annotation can be provided for a ModuleDict that allows ... ok (0.114s)
2022-11-23T02:10:37.7179396Z   test_typed_module_list (jit.test_module_containers.TestModuleContainers)
2022-11-23T02:10:37.7179596Z Test that a type annotation can be provided for a ModuleList that allows ... ok (0.098s)
2022-11-23T02:10:37.7179874Z   test_freeze_module_with_inplace_mutation_in_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.041s)
2022-11-23T02:10:37.7180126Z   test_freeze_module_with_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.037s)
2022-11-23T02:10:37.7180543Z   test_freeze_module_with_interface_and_fork (jit.test_module_interface.TestModuleInterface) ... ok (0.051s)
2022-11-23T02:10:37.7180804Z   test_freeze_module_with_mutated_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.042s)
2022-11-23T02:10:37.7181071Z   test_freeze_module_with_setattr_in_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.038s)
2022-11-23T02:10:37.7181309Z   test_module_apis_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.027s)
2022-11-23T02:10:37.7181539Z   test_module_doc_string (jit.test_module_interface.TestModuleInterface) ... ok (0.039s)
2022-11-23T02:10:37.7181767Z   test_module_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.147s)
2022-11-23T02:10:37.7181994Z   test_module_interface_inheritance (jit.test_module_interface.TestModuleInterface) ... ok (0.002s)
2022-11-23T02:10:37.7182236Z   test_module_interface_subtype (jit.test_module_interface.TestModuleInterface) ... ok (0.095s)
2022-11-23T02:10:37.7182460Z   test_module_swap (jit.test_module_interface.TestModuleInterface) ... ok (0.041s)
2022-11-23T02:10:37.7182703Z   test_module_swap_no_lazy_compile (jit.test_module_interface.TestModuleInterface) ... ok (0.046s)
2022-11-23T02:10:37.7182951Z   test_module_swap_no_module_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.030s)
2022-11-23T02:10:37.7183330Z   test_module_swap_wrong_module (jit.test_module_interface.TestModuleInterface) ... ok (0.035s)
2022-11-23T02:10:37.7183592Z   test_not_submodule_interface_call (jit.test_module_interface.TestModuleInterface) ... ok (0.020s)
2022-11-23T02:10:37.7183847Z   test_script_module_as_interface_swap (jit.test_module_interface.TestModuleInterface) ... ok (0.043s)
2022-11-23T02:10:37.7184029Z   test_script_module_with_constants_list (jit.test_modules.TestModules)
2022-11-23T02:10:37.7184222Z Test that a module that has __constants__ set to something ... ok (0.017s)
2022-11-23T02:10:37.7184423Z   test_namedtuple (jit.test_list_dict.TestNamedTuple) ... ok (0.008s)
2022-11-23T02:10:37.7184627Z   test_namedtuple_as_attr (jit.test_list_dict.TestNamedTuple) ... ok (0.009s)
2022-11-23T02:10:37.7184832Z   test_namedtuple_constant (jit.test_list_dict.TestNamedTuple) ... ok (0.006s)
2022-11-23T02:10:37.7185051Z   test_namedtuple_kwarg_construct (jit.test_list_dict.TestNamedTuple) ... ok (0.007s)
2022-11-23T02:10:37.7185254Z   test_namedtuple_lower (jit.test_list_dict.TestNamedTuple) ... ok (0.006s)
2022-11-23T02:10:37.7185464Z   test_namedtuple_resolution (jit.test_list_dict.TestNamedTuple) ... ok (0.008s)
2022-11-23T02:10:37.7185738Z   test_namedtuple_serialization (jit.test_list_dict.TestNamedTuple) ... skip: broken while these tests were not in CI (0.001s)
2022-11-23T02:10:37.7185932Z   test_namedtuple_slice_unpack (jit.test_list_dict.TestNamedTuple) ... ok (0.006s)
2022-11-23T02:10:37.7186148Z   test_namedtuple_type_annotation (jit.test_list_dict.TestNamedTuple) ... ok (0.006s)
2022-11-23T02:10:37.7186365Z   test_namedtuple_wrong_types (jit.test_list_dict.TestNamedTuple) ... ok (0.003s)
2022-11-23T02:10:37.7186567Z   test_return_named_tuple (jit.test_list_dict.TestNamedTuple) ... ok (0.007s)
2022-11-23T02:10:37.7187104Z   test_adaptive_avg_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... /var/lib/jenkins/workspace/test/test_nnapi.py:14: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T02:10:37.7187226Z   t = torch.tensor(t)
2022-11-23T02:10:37.7187329Z ok (0.161s)
2022-11-23T02:10:37.7187537Z   test_avg_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.668s)
2022-11-23T02:10:37.7187712Z   test_cat (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.083s)
2022-11-23T02:10:37.7187934Z   test_compile_spec_santiy (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.014s)
2022-11-23T02:10:37.7188132Z   test_conv2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok (3.095s)
2022-11-23T02:10:37.7188428Z   test_conv2d_transpose (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.643s)
2022-11-23T02:10:37.7188631Z   test_dequantize (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.020s)
2022-11-23T02:10:37.7188830Z   test_detach (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.041s)
2022-11-23T02:10:37.7189036Z   test_flatten (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.183s)
2022-11-23T02:10:37.7189239Z   test_hardtanh (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.048s)
2022-11-23T02:10:37.7189418Z   test_linear (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.042s)
2022-11-23T02:10:37.7190196Z   test_log_softmax (jit.test_backend_nnapi.TestNnapiBackend) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1427: UserWarning: Implicit dimension choice for log_softmax has been deprecated. Change the call to include dim=X as an argument.
2022-11-23T02:10:37.7190338Z   return forward_call(*input, **kwargs)
2022-11-23T02:10:37.7190857Z /opt/conda/lib/python3.10/site-packages/torch/jit/_trace.py:460: UserWarning: Implicit dimension choice for log_softmax has been deprecated. Change the call to include dim=X as an argument.
2022-11-23T02:10:37.7191015Z   outs = wrap_retval(mod(*_clone_inputs(inputs)))
2022-11-23T02:10:37.7191117Z ok (0.040s)
2022-11-23T02:10:37.7191378Z   test_max_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.328s)
2022-11-23T02:10:37.7191584Z   test_mean (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.121s)
2022-11-23T02:10:37.7191790Z   test_multi_output (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.022s)
2022-11-23T02:10:37.7191983Z   test_pointwise_binary (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.184s)
2022-11-23T02:10:37.7192202Z   test_pointwise_binary_const (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.080s)
2022-11-23T02:10:37.7192415Z   test_pointwise_unary (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.080s)
2022-11-23T02:10:37.7192613Z   test_prelu (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.061s)
2022-11-23T02:10:37.7192813Z   test_qadd (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.257s)
2022-11-23T02:10:37.7193009Z   test_qlinear (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.063s)
2022-11-23T02:10:37.7193206Z   test_quantize (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.024s)
2022-11-23T02:10:37.7193409Z   test_reshape (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.049s)
2022-11-23T02:10:37.7193593Z   test_seblock_mul (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.020s)
2022-11-23T02:10:37.7193788Z   test_slice (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.076s)
2022-11-23T02:10:37.7194458Z   test_softmax (jit.test_backend_nnapi.TestNnapiBackend) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1427: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument.
2022-11-23T02:10:37.7194598Z   return forward_call(*input, **kwargs)
2022-11-23T02:10:37.7195177Z /opt/conda/lib/python3.10/site-packages/torch/jit/_trace.py:460: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument.
2022-11-23T02:10:37.7195337Z   outs = wrap_retval(mod(*_clone_inputs(inputs)))
2022-11-23T02:10:37.7195438Z ok (0.059s)
2022-11-23T02:10:37.7195650Z   test_tensor_input (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.033s)
2022-11-23T02:10:37.7195845Z   test_to (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.055s)
2022-11-23T02:10:37.7196027Z   test_unsqueeze (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.096s)
2022-11-23T02:10:37.7196251Z   test_upsample_nearest2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.678s)
2022-11-23T02:10:37.7196499Z   test_op_decomposition (jit.test_op_decompositions.TestOpDecompositions) ... ok (0.072s)
2022-11-23T02:10:37.7196762Z   test_registered_decomposition (jit.test_op_decompositions.TestOpDecompositions) ... ok (0.062s)
2022-11-23T02:10:37.7197198Z   test_fuse_activation_with_pack_ops_linear_conv2d_1 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.043s)
2022-11-23T02:10:37.7197544Z   test_fuse_activation_with_pack_ops_linear_conv2d_2 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.043s)
2022-11-23T02:10:37.7197885Z   test_fuse_activation_with_pack_ops_linear_conv2d_3 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.041s)
2022-11-23T02:10:37.7198219Z   test_fuse_activation_with_pack_ops_linear_conv2d_4 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.041s)
2022-11-23T02:10:37.7198584Z   test_insert_pre_packed_linear_before_inline_and_conv_2d_op (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.017s)
2022-11-23T02:10:37.7198920Z   test_insert_pre_packed_linear_op (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.020s)
2022-11-23T02:10:37.7199238Z   test_replace_conv1d_with_conv2d (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.012s)
2022-11-23T02:10:37.7199474Z   test_scriptable (jit.test_parametrization.TestParametrization) ... ok (0.058s)
2022-11-23T02:10:37.7199741Z   test_traceable (jit.test_parametrization.TestParametrization)
2022-11-23T02:10:37.7199952Z Test the jit scripting and tracing of a parametrized model. ... ok (0.055s)
2022-11-23T02:10:37.7200155Z   test_conv_dim_folding (jit.test_peephole.TestPeephole) ... ok (0.120s)
2022-11-23T02:10:37.7200363Z   test_integer_refinement (jit.test_peephole.TestPeephole) ... ok (0.034s)
2022-11-23T02:10:37.7200560Z   test_noop_peephole (jit.test_peephole.TestPeephole) ... ok (0.033s)
2022-11-23T02:10:37.7200760Z   test_normalized_is_op (jit.test_peephole.TestPeephole) ... ok (0.008s)
2022-11-23T02:10:37.7200946Z   test_normalized_isnot_op (jit.test_peephole.TestPeephole) ... ok (0.009s)
2022-11-23T02:10:37.7201154Z   test_normalized_rsub (jit.test_peephole.TestPeephole) ... ok (0.011s)
2022-11-23T02:10:37.7201379Z   test_optimize_out_comparison_same_value (jit.test_peephole.TestPeephole) ... ok (0.010s)
2022-11-23T02:10:37.7201567Z   test_peephole (jit.test_peephole.TestPeephole) ... ok (0.018s)
2022-11-23T02:10:37.7201772Z   test_peephole_add_zero (jit.test_peephole.TestPeephole) ... ok (0.006s)
2022-11-23T02:10:37.7201927Z You have not run this instance of FileCheck!
2022-11-23T02:10:37.7202040Z FileCheck checks:
2022-11-23T02:10:37.7202223Z   test_peephole_arith (jit.test_peephole.TestPeephole) ... ok (0.009s)
2022-11-23T02:10:37.7202421Z   test_peephole_cuda (jit.test_peephole.TestPeephole) ... ok (0.022s)
2022-11-23T02:10:37.7202685Z   test_peephole_dict_getitem_no_optimization_dict_modified (jit.test_peephole.TestPeephole) ... ok (0.006s)
2022-11-23T02:10:37.7202936Z   test_peephole_dict_getitem_no_optimization_get_input_arg (jit.test_peephole.TestPeephole) ... ok (0.005s)
2022-11-23T02:10:37.7203209Z   test_peephole_dict_getitem_no_optimization_keys_might_overlap (jit.test_peephole.TestPeephole) ... ok (0.005s)
2022-11-23T02:10:37.7203457Z   test_peephole_dict_getitem_no_optimization_missing_key (jit.test_peephole.TestPeephole) ... ok (0.005s)
2022-11-23T02:10:37.7203725Z   test_peephole_dict_getitem_no_optimization_overlapping_keys (jit.test_peephole.TestPeephole) ... ok (0.005s)
2022-11-23T02:10:37.7203984Z   test_peephole_dict_getitem_no_optimization_unsupported_type (jit.test_peephole.TestPeephole) ... ok (0.007s)
2022-11-23T02:10:37.7204207Z   test_peephole_dict_getitem_simple (jit.test_peephole.TestPeephole) ... ok (0.017s)
2022-11-23T02:10:37.7204389Z   test_peephole_dict_len (jit.test_peephole.TestPeephole) ... ok (0.005s)
2022-11-23T02:10:37.7204643Z   test_peephole_dict_len_no_optimization_keys_might_overlap (jit.test_peephole.TestPeephole) ... ok (0.005s)
2022-11-23T02:10:37.7204895Z   test_peephole_dict_len_no_optimization_overlapping_keys (jit.test_peephole.TestPeephole) ... ok (0.005s)
2022-11-23T02:10:37.7205225Z   test_peephole_dict_len_no_optimization_unsupported_type (jit.test_peephole.TestPeephole) ... ok (0.007s)
2022-11-23T02:10:37.7205429Z   test_peephole_dynamic (jit.test_peephole.TestPeephole) ... ok (0.005s)
2022-11-23T02:10:37.7205627Z   test_peephole_int (jit.test_peephole.TestPeephole) ... ok (0.005s)
2022-11-23T02:10:37.7205835Z   test_peephole_len_list (jit.test_peephole.TestPeephole) ... ok (0.011s)
2022-11-23T02:10:37.7206034Z   test_peephole_list_len (jit.test_peephole.TestPeephole) ... ok (0.080s)
2022-11-23T02:10:37.7206212Z   test_peephole_list_ops (jit.test_peephole.TestPeephole) ... ok (0.024s)
2022-11-23T02:10:37.7206433Z   test_peephole_no_output_aliasing (jit.test_peephole.TestPeephole) ... ok (0.010s)
2022-11-23T02:10:37.7206651Z   test_peephole_optional_refine (jit.test_peephole.TestPeephole) ... ok (0.005s)
2022-11-23T02:10:37.7206868Z   test_peephole_slice_all_three_args (jit.test_peephole.TestPeephole) ... ok (0.008s)
2022-11-23T02:10:37.7207088Z   test_peephole_slice_one_empty_arg (jit.test_peephole.TestPeephole) ... ok (0.022s)
2022-11-23T02:10:37.7207348Z   test_peephole_slice_optimization_not_applied_list_modified (jit.test_peephole.TestPeephole) ... ok (0.006s)
2022-11-23T02:10:37.7207609Z   test_peephole_slice_optimization_not_applied_non_const_args (jit.test_peephole.TestPeephole) ... ok (0.006s)
2022-11-23T02:10:37.7207896Z   test_peephole_slice_two_empty_args (jit.test_peephole.TestPeephole) ... ok (0.023s)
2022-11-23T02:10:37.7208126Z   test_peephole_type_refinements (jit.test_peephole.TestPeephole) ... ok (0.021s)
2022-11-23T02:10:37.7208332Z   test_peephole_with_non_output_writes (jit.test_peephole.TestPeephole) ... ok (0.013s)
2022-11-23T02:10:37.7208538Z   test_peephole_with_writes (jit.test_peephole.TestPeephole) ... ok (0.010s)
2022-11-23T02:10:37.7208743Z   test_refine_integer_values (jit.test_peephole.TestPeephole) ... ok (0.006s)
2022-11-23T02:10:37.7208959Z   test_short_circuit_optimization (jit.test_peephole.TestPeephole) ... ok (0.011s)
2022-11-23T02:10:37.7209144Z   test_version (__main__.TestProducerVersion) ... ok (0.001s)
2022-11-23T02:10:37.7209344Z   test_aliasing_merge (jit.test_profiler.TestProfiler) ... ok (0.067s)
2022-11-23T02:10:37.7209561Z   test_autograd_fallback_graph (jit.test_profiler.TestProfiler) ... ok (0.065s)
2022-11-23T02:10:37.7209785Z   test_fallback_graph_not_specialized (jit.test_profiler.TestProfiler) ... ok (0.036s)
2022-11-23T02:10:37.7209966Z   test_iterative_fusion (jit.test_profiler.TestProfiler) ... ok (0.068s)
2022-11-23T02:10:37.7210169Z   test_local_fusion_strategy (jit.test_profiler.TestProfiler) ... ok (0.040s)
2022-11-23T02:10:37.7210373Z   test_not_fusing_scalar_ops (jit.test_profiler.TestProfiler) ... ok (0.003s)
2022-11-23T02:10:37.7210581Z   test_not_optimizing_property (jit.test_profiler.TestProfiler) ... ok (0.037s)
2022-11-23T02:10:37.7210784Z   test_specialize_backward (jit.test_profiler.TestProfiler) ... ok (0.147s)
2022-11-23T02:10:37.7210990Z   test_specialized_types (jit.test_profiler.TestProfiler) ... ok (0.035s)
2022-11-23T02:10:37.7211186Z   test_tensor_constant (jit.test_profiler.TestProfiler) ... ok (0.036s)
2022-11-23T02:10:37.7211411Z   test_tensor_type_not_determined_by_inputs (jit.test_profiler.TestProfiler) ... ok (0.078s)
2022-11-23T02:10:37.7211591Z   test_use_not_profiled (jit.test_profiler.TestProfiler) ... ok (0.038s)
2022-11-23T02:10:37.7211809Z   test_add_input (jit.test_python_bindings.TestPythonBindings) ... ok (0.001s)
2022-11-23T02:10:37.7212019Z   test_aliasdb (jit.test_python_bindings.TestPythonBindings) ... ok (0.005s)
2022-11-23T02:10:37.7212237Z   test_canonicalize (jit.test_python_bindings.TestPythonBindings) ... ok (0.002s)
2022-11-23T02:10:37.7212462Z   test_cu_create_function (jit.test_python_bindings.TestPythonBindings) ... ok (0.006s)
2022-11-23T02:10:37.7212685Z   test_cu_get_functions (jit.test_python_bindings.TestPythonBindings) ... ok (0.008s)
2022-11-23T02:10:37.7212904Z   test_graph_create (jit.test_python_bindings.TestPythonBindings) ... ok (0.003s)
2022-11-23T02:10:37.7213224Z   test_graph_iterator_keepalive (jit.test_python_bindings.TestPythonBindings) ... ok (0.005s)
2022-11-23T02:10:37.7213424Z   test_invalidation (jit.test_python_bindings.TestPythonBindings) ... ok (0.006s)
2022-11-23T02:10:37.7213635Z   test_add (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.015s)
2022-11-23T02:10:37.7213865Z   test_adv_indexing_list (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.046s)
2022-11-23T02:10:37.7214094Z   test_advancedindex (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.040s)
2022-11-23T02:10:37.7214308Z   test_gather (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.008s)
2022-11-23T02:10:37.7214515Z   test_index (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.046s)
2022-11-23T02:10:37.7214744Z   test_index_ellipses (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.178s)
2022-11-23T02:10:37.7214948Z   test_inf (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.010s)
2022-11-23T02:10:37.7215152Z   test_matmul_py3 (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.013s)
2022-11-23T02:10:37.7215358Z   test_mul (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.013s)
2022-11-23T02:10:37.7215559Z   test_pow (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.070s)
2022-11-23T02:10:37.7215824Z   test_random (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.006s)
2022-11-23T02:10:37.7216496Z   test_slice (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.031s)
2022-11-23T02:10:37.7216746Z   test_stepped_tuple_slicing (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.010s)
2022-11-23T02:10:37.7216973Z   test_str_to_float (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.014s)
2022-11-23T02:10:37.7217186Z   test_triple (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.011s)
2022-11-23T02:10:37.7217356Z   test_param_strides (jit.test_python_ir.TestPythonIr) ... ok (0.007s)
2022-11-23T02:10:37.7217577Z   test_attributes (jit.test_recursive_script.TestRecursiveScript) ... ok (0.081s)
2022-11-23T02:10:37.7217807Z   test_class_compile (jit.test_recursive_script.TestRecursiveScript) ... ok (0.036s)
2022-11-23T02:10:37.7218039Z   test_constants_with_final (jit.test_recursive_script.TestRecursiveScript) ... ok (0.039s)
2022-11-23T02:10:37.7218247Z   test_dir (jit.test_recursive_script.TestRecursiveScript) ... ok (0.083s)
2022-11-23T02:10:37.7218468Z   test_error_stack (jit.test_recursive_script.TestRecursiveScript) ... ok (0.008s)
2022-11-23T02:10:37.7218700Z   test_error_stack_annotation (jit.test_recursive_script.TestRecursiveScript) ... ok (0.017s)
2022-11-23T02:10:37.7218926Z   test_error_stack_class (jit.test_recursive_script.TestRecursiveScript) ... ok (0.016s)
2022-11-23T02:10:37.7219152Z   test_error_stack_module (jit.test_recursive_script.TestRecursiveScript) ... ok (0.012s)
2022-11-23T02:10:37.7219493Z   test_failed_function_compilation (jit.test_recursive_script.TestRecursiveScript) ... ok (0.006s)
2022-11-23T02:10:37.7219746Z   test_function_attribute_in_submodule (jit.test_recursive_script.TestRecursiveScript) ... ok (0.036s)
2022-11-23T02:10:37.7219964Z   test_ignore_class (jit.test_recursive_script.TestRecursiveScript) ... ok (0.016s)
2022-11-23T02:10:37.7220194Z   test_inferred_nonetype (jit.test_recursive_script.TestRecursiveScript) ... ok (0.015s)
2022-11-23T02:10:37.7220411Z   test_init_error (jit.test_recursive_script.TestRecursiveScript) ... ok (0.001s)
2022-11-23T02:10:37.7220641Z   test_inner_traced_module (jit.test_recursive_script.TestRecursiveScript) ... ok (0.035s)
2022-11-23T02:10:37.7220865Z   test_iterable_modules (jit.test_recursive_script.TestRecursiveScript) ... ok (0.088s)
2022-11-23T02:10:37.7221086Z   test_method_call (jit.test_recursive_script.TestRecursiveScript) ... ok (0.018s)
2022-11-23T02:10:37.7221287Z   test_module_basic (jit.test_recursive_script.TestRecursiveScript) ... ok (0.028s)
2022-11-23T02:10:37.7221526Z   test_module_function_export (jit.test_recursive_script.TestRecursiveScript) ... ok (0.031s)
2022-11-23T02:10:37.7221937Z   test_module_name (jit.test_recursive_script.TestRecursiveScript) ... ok (0.008s)
2022-11-23T02:10:37.7222155Z   test_module_repr (jit.test_recursive_script.TestRecursiveScript) ... ok (0.040s)
2022-11-23T02:10:37.7222381Z   test_optional_module (jit.test_recursive_script.TestRecursiveScript) ... ok (0.039s)
2022-11-23T02:10:37.7222634Z   test_override_instance_method_ignore (jit.test_recursive_script.TestRecursiveScript) ... ok (0.006s)
2022-11-23T02:10:37.7222874Z   test_prepare_scriptable_basic (jit.test_recursive_script.TestRecursiveScript) ... ok (0.010s)
2022-11-23T02:10:37.7223119Z   test_prepare_scriptable_cycle (jit.test_recursive_script.TestRecursiveScript) ... ok (0.006s)
2022-11-23T02:10:37.7223380Z   test_prepare_scriptable_iterable_modules (jit.test_recursive_script.TestRecursiveScript) ... ok (0.092s)
2022-11-23T02:10:37.7223604Z   test_python_function_attribute (jit.test_recursive_script.TestRecursiveScript) ... ok (0.013s)
2022-11-23T02:10:37.7223846Z   test_repeated_error_stack (jit.test_recursive_script.TestRecursiveScript) ... ok (0.008s)
2022-11-23T02:10:37.7224077Z   test_script_after_eval (jit.test_recursive_script.TestRecursiveScript) ... ok (0.015s)
2022-11-23T02:10:37.7224299Z   test_script_basic (jit.test_recursive_script.TestRecursiveScript) ... ok (0.010s)
2022-11-23T02:10:37.7224667Z   test_script_function_attribute (jit.test_recursive_script.TestRecursiveScript) ... ok (0.034s)
2022-11-23T02:10:37.7224902Z   test_script_loaded_module (jit.test_recursive_script.TestRecursiveScript)
2022-11-23T02:10:37.7225102Z Test that we can hold a loaded ScriptModule as a submodule. ... ok (0.025s)
2022-11-23T02:10:37.7225325Z   test_aten_inplace (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.032s)
2022-11-23T02:10:37.7225536Z   test_common_pytorch_list_ops (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.058s)
2022-11-23T02:10:37.7225747Z   test_if_output (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.008s)
2022-11-23T02:10:37.7225969Z   test_if_output_fail (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.013s)
2022-11-23T02:10:37.7226197Z   test_list_indexing_removal (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.030s)
2022-11-23T02:10:37.7226418Z   test_lists_append (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.011s)
2022-11-23T02:10:37.7226627Z   test_lists_insert (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.007s)
2022-11-23T02:10:37.7226858Z   test_special_mapped_op (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.019s)
2022-11-23T02:10:37.7227044Z   test_different_functions (jit.test_save_load.TestSaveLoad)
2022-11-23T02:10:37.7227224Z Exercise the situation where we have the same qualified name ... ok (0.044s)
2022-11-23T02:10:37.7227416Z   test_different_interfaces (jit.test_save_load.TestSaveLoad)
2022-11-23T02:10:37.7227612Z Exercise the situation where we have the same qualified name ... ok (0.091s)
2022-11-23T02:10:37.7227790Z   test_different_modules (jit.test_save_load.TestSaveLoad)
2022-11-23T02:10:37.7227991Z Exercise the situation where we have the same qualified name ... ok (0.065s)
2022-11-23T02:10:37.7228182Z   test_many_collisions (jit.test_save_load.TestSaveLoad) ... ok (0.136s)
2022-11-23T02:10:37.7228364Z   test_save_load_meta_tensors (jit.test_save_load.TestSaveLoad)
2022-11-23T02:10:37.7228590Z Check that parameters, buffers, and submodules are the same after loading ... ok (0.037s)
2022-11-23T02:10:37.7228775Z   test_save_load_params_buffers_submodules (jit.test_save_load.TestSaveLoad)
2022-11-23T02:10:37.7228997Z Check that parameters, buffers, and submodules are the same after loading. ... ok (0.014s)
2022-11-23T02:10:37.7229203Z   test_save_load_using_pathlib (jit.test_save_load.TestSaveLoad) ... ok (0.011s)
2022-11-23T02:10:37.7229408Z   test_save_load_with_extra_files (jit.test_save_load.TestSaveLoad) ... ok (0.020s)
2022-11-23T02:10:37.7229604Z   test_save_namedtuple_input_only (jit.test_save_load.TestSaveLoad)
2022-11-23T02:10:37.7229812Z Even if a NamedTuple is only used as an input argument, saving and ... ok (0.013s)
2022-11-23T02:10:37.7230088Z   test_save_namedtuple_output_only (jit.test_save_load.TestSaveLoad)
2022-11-23T02:10:37.7230297Z Even if a NamedTuple is only used as an output argument, saving and ... ok (0.012s)
2022-11-23T02:10:37.7230472Z   test_save_nonexit_file (jit.test_save_load.TestSaveLoad) ... ok (0.013s)
2022-11-23T02:10:37.7230690Z   test_different_functions (jit.test_save_load.TestSaveLoadFlatbuffer)
2022-11-23T02:10:37.7230962Z Exercise the situation where we have the same qualified name ... skip: Need to enable flatbuffer to run the below tests (0.001s)
2022-11-23T02:10:37.7231178Z   test_different_interfaces (jit.test_save_load.TestSaveLoadFlatbuffer)
2022-11-23T02:10:37.7231449Z Exercise the situation where we have the same qualified name ... skip: Need to enable flatbuffer to run the below tests (0.002s)
2022-11-23T02:10:37.7231651Z   test_different_modules (jit.test_save_load.TestSaveLoadFlatbuffer)
2022-11-23T02:10:37.7231931Z Exercise the situation where we have the same qualified name ... skip: Need to enable flatbuffer to run the below tests (0.002s)
2022-11-23T02:10:37.7232224Z   test_many_collisions (jit.test_save_load.TestSaveLoadFlatbuffer) ... skip: Need to enable flatbuffer to run the below tests (0.003s)
2022-11-23T02:10:37.7232581Z   test_module_info_flatbuffer (jit.test_save_load.TestSaveLoadFlatbuffer) ... skip: Need to enable flatbuffer to run the below tests (0.001s)
2022-11-23T02:10:37.7232802Z   test_save_load_params_buffers_submodules (jit.test_save_load.TestSaveLoadFlatbuffer)
2022-11-23T02:10:37.7233097Z Check that parameters, buffers, and submodules are the same after loading. ... skip: Need to enable flatbuffer to run the below tests (0.002s)
2022-11-23T02:10:37.7233401Z   test_save_load_using_pathlib (jit.test_save_load.TestSaveLoadFlatbuffer) ... skip: Need to enable flatbuffer to run the below tests (0.001s)
2022-11-23T02:10:37.7233620Z   test_save_load_with_extra_files (jit.test_save_load.TestSaveLoadFlatbuffer)
2022-11-23T02:10:37.7233909Z Check that parameters, buffers, and submodules are the same after loading. ... skip: Need to enable flatbuffer to run the below tests (0.001s)
2022-11-23T02:10:37.7234127Z   test_save_namedtuple_input_only (jit.test_save_load.TestSaveLoadFlatbuffer)
2022-11-23T02:10:37.7234409Z Even if a NamedTuple is only used as an input argument, saving and ... skip: Need to enable flatbuffer to run the below tests (0.001s)
2022-11-23T02:10:37.7234633Z   test_save_namedtuple_output_only (jit.test_save_load.TestSaveLoadFlatbuffer)
2022-11-23T02:10:37.7234917Z Even if a NamedTuple is only used as an output argument, saving and ... skip: Need to enable flatbuffer to run the below tests (0.001s)
2022-11-23T02:10:37.7235249Z   test_versioned_div_scalar (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... Falsifying explicit example: test_versioned_div_scalar(
2022-11-23T02:10:37.7235502Z     self=<jit.test_save_load_for_op_version.TestSaveLoadForOpVersion testMethod=test_versioned_div_scalar>,
2022-11-23T02:10:37.7235635Z     sample_input=(2, 3, 2.0, 3.0),
2022-11-23T02:10:37.7235732Z )
2022-11-23T02:10:37.7235870Z skip: Failed to load fixture! (0.169s)
2022-11-23T02:10:37.7236147Z   test_versioned_div_scalar_inplace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.592s)
2022-11-23T02:10:37.7236424Z   test_versioned_div_scalar_reciprocal (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.209s)
2022-11-23T02:10:37.7236694Z   test_versioned_div_scalar_scalar (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.011s)
2022-11-23T02:10:37.7236948Z   test_versioned_div_tensor (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.182s)
2022-11-23T02:10:37.7237196Z   test_versioned_div_tensor_inplace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.707s)
2022-11-23T02:10:37.7237452Z   test_versioned_div_tensor_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (1.508s)
2022-11-23T02:10:37.7237783Z   test_versioned_linspace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.015s)
2022-11-23T02:10:37.7238048Z   test_versioned_linspace_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.014s)
2022-11-23T02:10:37.7238307Z   test_versioned_logspace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.015s)
2022-11-23T02:10:37.7238574Z   test_versioned_logspace_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.014s)
2022-11-23T02:10:37.7238732Z   test_add_out (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7238922Z   test_add_tuple_different_types (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7239102Z   test_add_tuple_non_optional (__main__.TestScript) ... ok (0.013s)
2022-11-23T02:10:37.7239259Z   test_add_tuple_optional (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7239434Z   test_add_tuple_same_types (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7239578Z   test_addmm_grad (__main__.TestScript)
2022-11-23T02:10:37.7239731Z This test checks several things: ... ok (0.010s)
2022-11-23T02:10:37.7239926Z   test_alias_covariant_type_containers (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7240077Z   test_all (__main__.TestScript) ... ok (0.018s)
2022-11-23T02:10:37.7240249Z   test_annot_ast_mypy_fn (__main__.TestScript) ... ok (0.044s)
2022-11-23T02:10:37.7240464Z   test_annot_ast_mypy_method (__main__.TestScript) ... ok (0.069s)
2022-11-23T02:10:37.7240644Z   test_annot_ast_py3_fn (__main__.TestScript) ... ok (0.047s)
2022-11-23T02:10:37.7240818Z   test_annot_ast_py3_method (__main__.TestScript) ... ok (0.071s)
2022-11-23T02:10:37.7240994Z   test_annot_string_mypy_fn (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7241178Z   test_annot_string_mypy_method (__main__.TestScript) ... ok (0.050s)
2022-11-23T02:10:37.7241351Z   test_annot_string_py3_fn (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7241531Z   test_annot_string_py3_method (__main__.TestScript) ... ok (0.050s)
2022-11-23T02:10:37.7241718Z   test_annotated_script_fn (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7241898Z   test_annotated_script_fn_arg_mismatch (__main__.TestScript) ... ok (0.003s)
2022-11-23T02:10:37.7242098Z   test_annotated_script_fn_return_mismatch (__main__.TestScript) ... ok (0.003s)
2022-11-23T02:10:37.7242282Z   test_annotated_script_method (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7242452Z   test_annoying_doubles (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7242599Z   test_any (__main__.TestScript) ... ok (0.042s)
2022-11-23T02:10:37.7242796Z   test_assert_is_scripting_metacompile (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7242991Z   test_assertion_optional_refinement (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7243173Z   test_attr_module_constants (__main__.TestScript) ... ok (0.042s)
2022-11-23T02:10:37.7243332Z   test_attr_qscheme_script (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7243509Z   test_attribute_in_init (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7243693Z   test_attribute_serialization (__main__.TestScript) ... ok (0.021s)
2022-11-23T02:10:37.7243870Z   test_attribute_unpickling (__main__.TestScript) ... ok (0.016s)
2022-11-23T02:10:37.7244147Z   test_augmented_assign (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7244333Z   test_autodiff_complex (__main__.TestScript) ... ok (0.497s)
2022-11-23T02:10:37.7244513Z   test_backend_cudnn_enabled (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7244679Z   test_bad_multiline_annotations (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7244884Z   test_bailout_loop_carried_deps_name_clash (__main__.TestScript) ... ok (0.017s)
2022-11-23T02:10:37.7245087Z   test_bailout_loop_counter_transition (__main__.TestScript) ... ok (0.015s)
2022-11-23T02:10:37.7245287Z   test_batch_norm_inference_backward_cuda (__main__.TestScript) ... ok (0.535s)
2022-11-23T02:10:37.7245502Z   test_batchnorm_fuser_cpu (__main__.TestScript) ... skip: This tests the CPU fuser (0.001s)
2022-11-23T02:10:37.7245762Z   test_big_float_literals (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7245928Z   test_big_int_literals (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7246101Z   test_binary_op_shape (__main__.TestScript) ... ok (0.419s)
2022-11-23T02:10:37.7246248Z   test_bitwise_ops (__main__.TestScript) ... ok (0.043s)
2022-11-23T02:10:37.7246434Z   test_block_input_grad_in_loop (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7246624Z   test_bool_augassign_bitwise_and (__main__.TestScript) ... ok (0.013s)
2022-11-23T02:10:37.7246814Z   test_bool_augassign_bitwise_or (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7246994Z   test_bool_augassign_bitwise_xor (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7247160Z   test_bool_dispatch (__main__.TestScript) ... ok (0.056s)
2022-11-23T02:10:37.7247368Z   test_boolean_literal_constant_metacompile (__main__.TestScript) ... ok (0.027s)
2022-11-23T02:10:37.7247548Z   test_break_continue_error (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7247703Z   test_breaks_continues (__main__.TestScript) ... ok (0.224s)
2022-11-23T02:10:37.7247868Z   test_builtin_args (__main__.TestScript) ... ok (0.027s)
2022-11-23T02:10:37.7248450Z   test_builtin_args_fails (__main__.TestScript) ... [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[List[int], int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement.
2022-11-23T02:10:37.7248650Z   File "/var/lib/jenkins/workspace/test/test_jit.py", line 10806
2022-11-23T02:10:37.7248776Z             @torch.jit.script
2022-11-23T02:10:37.7248884Z             def f6(a):
2022-11-23T02:10:37.7249015Z                 a.expand(size=[3, [4]])
2022-11-23T02:10:37.7249295Z                               ~~~~~~ <--- HERE
2022-11-23T02:10:37.7249415Z  (function emitListLiteral)
2022-11-23T02:10:37.7249519Z ok (0.011s)
2022-11-23T02:10:37.7249711Z   test_builtin_function_attributes (__main__.TestScript) ... ok (0.013s)
2022-11-23T02:10:37.7249882Z   test_builtin_use_as_value (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7250045Z   test_call_ge (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7250237Z   test_call_python_fn_from_script_fn (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7250434Z   test_call_python_fn_from_script_module (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7250627Z   test_call_python_fn_from_traced_module (__main__.TestScript) ... ok (0.016s)
2022-11-23T02:10:37.7250802Z   test_call_python_fn_from_tracing_fn (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7250989Z   test_call_python_mod_from_script_fn (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7251188Z   test_call_python_mod_from_script_module (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7251387Z   test_call_python_mod_from_traced_module (__main__.TestScript) ... ok (0.026s)
2022-11-23T02:10:37.7251583Z   test_call_python_mod_from_tracing_fn (__main__.TestScript) ... ok (0.013s)
2022-11-23T02:10:37.7251768Z   test_call_script_fn_from_script_fn (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7251960Z   test_call_script_fn_from_script_module (__main__.TestScript) ... ok (0.013s)
2022-11-23T02:10:37.7252161Z   test_call_script_fn_from_tracing_fn (__main__.TestScript) ... ok (0.016s)
2022-11-23T02:10:37.7252333Z   test_call_script_mod_from_script_fn (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7252527Z   test_call_script_mod_from_script_module (__main__.TestScript) ... ok (0.017s)
2022-11-23T02:10:37.7252765Z   test_call_script_mod_from_tracing_fn (__main__.TestScript) ... skip: error in first class mode (0.001s)
2022-11-23T02:10:37.7252951Z   test_call_traced_fn_from_tracing_fn (__main__.TestScript) ... ok (0.019s)
2022-11-23T02:10:37.7253185Z   test_call_traced_mod_from_tracing_fn (__main__.TestScript) ... skip: error in first class mode (0.001s)
2022-11-23T02:10:37.7253668Z   test_calls_in_type_annotations (__main__.TestScript) ... /opt/conda/lib/python3.10/site-packages/torch/__init__.py
2022-11-23T02:10:37.7253773Z ok (0.002s)
2022-11-23T02:10:37.7253967Z   test_canonicalize_control_outputs (__main__.TestScript) ... ok (0.025s)
2022-11-23T02:10:37.7254237Z   test_cast (__main__.TestScript) ... skip: RuntimeError: VariableType::ID() not implemented (0.001s)
2022-11-23T02:10:37.7254392Z   test_cat (__main__.TestScript) ... ok (0.032s)
2022-11-23T02:10:37.7254551Z   test_cat_lifts (__main__.TestScript) ... ok (0.013s)
2022-11-23T02:10:37.7254701Z   test_chr (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7254859Z   test_circular_dependency (__main__.TestScript)
2022-11-23T02:10:37.7255068Z https://github.com/pytorch/pytorch/issues/25871 ... ok (0.054s)
2022-11-23T02:10:37.7255240Z   test_class_as_attribute (__main__.TestScript) ... ok (0.476s)
2022-11-23T02:10:37.7255417Z   test_class_attribute (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7255587Z   test_class_attribute_in_script (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7255793Z   test_class_with_comment_at_lower_indentation (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7255951Z   test_code_with_constants (__main__.TestScript)
2022-11-23T02:10:37.7256825Z Check that the `code_with_constants` property correctly returns graph CONSTANTS in the ... ok (0.013s)
2022-11-23T02:10:37.7257022Z   test_code_with_constants_restore (__main__.TestScript)
2022-11-23T02:10:37.7257274Z Check that the `code_with_constants` property correctly works on restoration after save() + load() ... ok (0.017s)
2022-11-23T02:10:37.7257453Z   test_comment_ignore_indent (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7257616Z   test_compare_two_bool_inputs (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7257897Z   test_compile_module_with_constant (__main__.TestScript) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T02:10:37.7258085Z   test_conditional_casting (__main__.TestScript) ... ok (0.085s)
2022-11-23T02:10:37.7258254Z   test_constant_as_attr (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7258453Z   test_constant_pooling_introduce_aliasing (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7258631Z   test_constant_pooling_none (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7258825Z   test_constant_pooling_same_identity (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7258994Z   test_context_manager (__main__.TestScript) ... ok (0.032s)
2022-11-23T02:10:37.7259135Z   test_conv_error (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7259302Z   test_convert_base (__main__.TestScript) ... ok (0.039s)
2022-11-23T02:10:37.7259484Z   test_cpp_function_tensor_str (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7259660Z   test_cpp_module_iterator (__main__.TestScript) ... ok (0.017s)
2022-11-23T02:10:37.7259831Z   test_desugar_module (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7259991Z   test_device_kwarg (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7260151Z   test_device_type (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7260320Z   test_device_type_cuda (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7260448Z   test_dir (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7260602Z   test_divmod (__main__.TestScript) ... ok (0.058s)
2022-11-23T02:10:37.7260829Z   test_dominated_bailout (__main__.TestScript) ... skip: bailouts are being deprecated (0.003s)
2022-11-23T02:10:37.7260990Z   test_dropout_eval (__main__.TestScript) ... ok (0.267s)
2022-11-23T02:10:37.7261147Z   test_dtype_attr (__main__.TestScript) ... ok (0.014s)
2022-11-23T02:10:37.7261315Z   test_dtype_op_shape (__main__.TestScript) ... ok (0.071s)
2022-11-23T02:10:37.7261488Z   test_dtype_op_shape2 (__main__.TestScript) ... ok (0.087s)
2022-11-23T02:10:37.7261661Z   test_early_return_closure (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7261905Z   test_early_return_fork_join (__main__.TestScript) ... ok (0.013s)
2022-11-23T02:10:37.7262082Z   test_early_return_rewrite (__main__.TestScript) ... ok (0.037s)
2022-11-23T02:10:37.7262270Z   test_early_return_type_refinement (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7262450Z   test_early_returns_loops (__main__.TestScript) ... ok (0.065s)
2022-11-23T02:10:37.7262630Z   test_ellipsis_const_end (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7262804Z   test_ellipsis_const_mid (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7262988Z   test_ellipsis_const_mid_select (__main__.TestScript) ... ok (0.013s)
2022-11-23T02:10:37.7263140Z   test_ellipsis_const_start (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7263304Z   test_ellipsis_end (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7263463Z   test_ellipsis_mid (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7263641Z   test_ellipsis_mid_select (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7263814Z   test_ellipsis_start (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7264004Z   test_embedding_renorm_grad_error (__main__.TestScript) ... ok (0.024s)
2022-11-23T02:10:37.7264188Z   test_empty_like_memory_format_bc (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7264406Z   test_empty_tuple_str (__main__.TestScript) ... ok (0.001s)
2022-11-23T02:10:37.7264577Z   test_enumerate_modlist_range (__main__.TestScript) ... ok (0.058s)
2022-11-23T02:10:37.7264754Z   test_erase_number_types (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7264909Z   test_error (__main__.TestScript) ... ok (0.027s)
2022-11-23T02:10:37.7265079Z   test_error_stacktrace (__main__.TestScript) ... ok (0.022s)
2022-11-23T02:10:37.7265265Z   test_error_stacktrace_interface (__main__.TestScript) ... ok (1.187s)
2022-11-23T02:10:37.7265425Z   test_eval_python (__main__.TestScript) ... ok (0.017s)
2022-11-23T02:10:37.7265610Z   test_exception_exits_closure (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7265804Z   test_exceptions_with_control_flow (__main__.TestScript) ... ok (0.064s)
2022-11-23T02:10:37.7265940Z   test_expand (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7266087Z   test_fibb (__main__.TestScript) ... ok (0.017s)
2022-11-23T02:10:37.7266258Z   test_fibb_totally_better (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7266448Z   test_file_format_serialization (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7266621Z   test_file_line_error (__main__.TestScript) ... ok (0.003s)
2022-11-23T02:10:37.7266809Z   test_file_line_error_class_defn (__main__.TestScript) ... ok (1.080s)
2022-11-23T02:10:37.7266981Z   test_file_line_graph (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7267135Z   test_file_line_save_load (__main__.TestScript) ... ok (0.450s)
2022-11-23T02:10:37.7267307Z   test_file_line_string (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7267480Z   test_file_line_trace (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7267643Z   test_filecheck (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7267813Z   test_filecheck_parse (__main__.TestScript) ... ok (0.003s)
2022-11-23T02:10:37.7267988Z   test_first_class_calls (__main__.TestScript) ... ok (0.628s)
2022-11-23T02:10:37.7268163Z   test_first_class_module (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7268322Z   test_floor_div (__main__.TestScript) ... ok (0.015s)
2022-11-23T02:10:37.7268464Z   test_floordiv (__main__.TestScript) ... ok (0.038s)
2022-11-23T02:10:37.7268618Z   test_for_else (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7268778Z   test_for_in_dict (__main__.TestScript) ... ok (0.017s)
2022-11-23T02:10:37.7268948Z   test_for_in_enumerate (__main__.TestScript) ... ok (0.053s)
2022-11-23T02:10:37.7269111Z   test_for_in_range (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7269282Z   test_for_in_range_ast (__main__.TestScript) ... ok (0.029s)
2022-11-23T02:10:37.7269530Z   test_for_in_range_dynamic (__main__.TestScript) ... ok (0.029s)
2022-11-23T02:10:37.7269683Z   test_for_in_range_if_ast (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7269860Z   test_for_in_range_start_end (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7270047Z   test_for_in_range_start_end_step (__main__.TestScript) ... ok (0.028s)
2022-11-23T02:10:37.7270237Z   test_for_in_range_zero_step (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7270403Z   test_for_in_string (__main__.TestScript) ... ok (0.027s)
2022-11-23T02:10:37.7270569Z   test_for_in_tensors (__main__.TestScript) ... ok (0.018s)
2022-11-23T02:10:37.7270753Z   test_for_in_tensors_fail_scalar (__main__.TestScript) ... ok (0.003s)
2022-11-23T02:10:37.7270928Z   test_for_in_tensors_nested (__main__.TestScript) ... ok (0.018s)
2022-11-23T02:10:37.7271082Z   test_for_in_tensors_rank0 (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7271242Z   test_for_in_zip (__main__.TestScript) ... ok (0.038s)
2022-11-23T02:10:37.7271421Z   test_for_in_zip_enumerate (__main__.TestScript) ... ok (0.030s)
2022-11-23T02:10:37.7271590Z   test_for_tuple_assign (__main__.TestScript) ... ok (0.016s)
2022-11-23T02:10:37.7271758Z   test_for_tuple_unpack (__main__.TestScript) ... ok (0.028s)
2022-11-23T02:10:37.7271911Z   test_format (__main__.TestScript) ... ok (0.013s)
2022-11-23T02:10:37.7272172Z   test_func_call (__main__.TestScript) ... ok (0.100s)
2022-11-23T02:10:37.7272376Z   test_function_compilation_caching (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7272542Z   test_function_overload_misuse (__main__.TestScript) ... ok (1.249s)
2022-11-23T02:10:37.7272739Z   test_function_overloading_isinstance (__main__.TestScript) ... ok (0.021s)
2022-11-23T02:10:37.7272914Z   test_function_overloads (__main__.TestScript) ... ok (0.096s)
2022-11-23T02:10:37.7273145Z   test_fuser_double_float_codegen (__main__.TestScript) ... skip: This tests the CPU fuser (0.001s)
2022-11-23T02:10:37.7273383Z   test_fuser_double_literal_precision (__main__.TestScript) ... skip: This tests the CPU fuser (0.001s)
2022-11-23T02:10:37.7273567Z   test_fuser_multiple_blocks (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7273745Z   test_gather_dynamic_index (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7273920Z   test_generic_list_errors (__main__.TestScript) ... ok (0.003s)
2022-11-23T02:10:37.7274072Z   test_get_set_state (__main__.TestScript) ... ok (0.051s)
2022-11-23T02:10:37.7274253Z   test_get_set_state_with_tensors (__main__.TestScript) ... ok (0.015s)
2022-11-23T02:10:37.7274421Z   test_grad_from_script (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7274570Z   test_hash (__main__.TestScript) ... ok (0.014s)
2022-11-23T02:10:37.7274734Z   test_hex_literals (__main__.TestScript) ... ok (0.022s)
2022-11-23T02:10:37.7274878Z   test_id (__main__.TestScript) ... ok (0.558s)
2022-11-23T02:10:37.7275028Z   test_if (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7275167Z   test_if_define (__main__.TestScript) ... ok (0.016s)
2022-11-23T02:10:37.7275348Z   test_if_different_type (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7275520Z   test_if_for_in_range (__main__.TestScript) ... ok (0.017s)
2022-11-23T02:10:37.7275690Z   test_if_is_none_dispatch (__main__.TestScript) ... ok (0.035s)
2022-11-23T02:10:37.7275848Z   test_if_list_cat (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7276017Z   test_if_nest_while (__main__.TestScript) ... ok (0.092s)
2022-11-23T02:10:37.7276176Z   test_if_noelse (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7276332Z   test_if_not_defined_error (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7276498Z   test_if_supertype (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7276668Z   test_ignore_decorator (__main__.TestScript) ... ok (0.013s)
2022-11-23T02:10:37.7276836Z   test_ignored_as_value (__main__.TestScript) ... ok (0.016s)
2022-11-23T02:10:37.7277085Z   test_ignored_method_binding (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7277333Z   test_ignored_props (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7277535Z   test_import_constants_not_specialized (__main__.TestScript) ... ok (0.019s)
2022-11-23T02:10:37.7277709Z   test_in_for_and_comp_expr (__main__.TestScript) ... ok (0.018s)
2022-11-23T02:10:37.7277877Z   test_in_operator_with_two_strings (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7278033Z   test_index (__main__.TestScript) ... ok (0.127s)
2022-11-23T02:10:37.7278217Z   test_index_select_shape_prop (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7278385Z   test_index_with_tuple (__main__.TestScript) ... ok (0.013s)
2022-11-23T02:10:37.7278562Z   test_indexing_error (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7278717Z   test_infer_size (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7278873Z   test_inferred_error_msg (__main__.TestScript)
2022-11-23T02:10:37.7279085Z Test that when we get a type mismatch on a function where we inferred ... ok (0.004s)
2022-11-23T02:10:37.7279244Z   test_inherit_method (__main__.TestScript) ... ok (0.021s)
2022-11-23T02:10:37.7279535Z   test_inline_and_run_annotated_script_fn (__main__.TestScript) ... skip: https://github.com/pytorch/pytorch/issues/9595 (0.001s)
2022-11-23T02:10:37.7279683Z   test_inlined_graph (__main__.TestScript)
2022-11-23T02:10:37.7279990Z Check that the `inlined_graph` property correctly returns an inlined ... ok (0.019s)
2022-11-23T02:10:37.7280173Z   test_inlining_cleanup (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7280337Z   test_inplace_add (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7280515Z   test_inplace_copy_script (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7280695Z   test_input_keyword_in_schema (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7280833Z   test_int_cast (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7281020Z   test_integral_shape_inference (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7281196Z   test_interpret_graph (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7281369Z   test_interpreter_fuzz (__main__.TestScript) ... ok (0.566s)
2022-11-23T02:10:37.7281532Z   test_intlist_args (__main__.TestScript) ... ok (0.025s)
2022-11-23T02:10:37.7281712Z   test_invalid_call_arguments (__main__.TestScript) ... ok (0.003s)
2022-11-23T02:10:37.7281894Z   test_invalid_lhs_assignment (__main__.TestScript) ... ok (0.001s)
2022-11-23T02:10:37.7282062Z   test_invalid_prefix_annotation (__main__.TestScript) ... ok (0.003s)
2022-11-23T02:10:37.7282222Z   test_irparser (__main__.TestScript) ... ok (0.001s)
2022-11-23T02:10:37.7282382Z   test_is_after_use (__main__.TestScript) ... ok (0.021s)
2022-11-23T02:10:37.7282620Z   test_is_isnot (__main__.TestScript) ... <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7282800Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7282978Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7283164Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7283461Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7283625Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7283850Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7284070Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7284350Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7284568Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7284789Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7285018Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7285214Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7285372Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7285926Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7286141Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7286355Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7286576Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7286796Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7287020Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7287241Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7287399Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7287614Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7287875Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7288103Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7288366Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7288581Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7288811Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7289090Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7289257Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7320445Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7320971Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7321142Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7321336Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7321512Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7321715Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7321887Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7322063Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7322237Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7322424Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7322582Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7322758Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7322935Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7323114Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7323285Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7323457Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7323641Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7323821Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T02:10:37.7323990Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7324182Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7324382Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7324568Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7324750Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7324932Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7325119Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7325305Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7325958Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7326146Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7326329Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7326513Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7326701Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7326884Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7327066Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7327246Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7327405Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7327586Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7327779Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7327961Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7328140Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7328323Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7328598Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7328773Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7328953Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7329132Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7329313Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7329497Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7329675Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7329868Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7330050Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7330211Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7330397Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7330580Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7330761Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7330941Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7331129Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7331308Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7331488Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7331654Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7331834Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7332018Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7332204Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7332386Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7332565Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7332748Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7332930Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7333089Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T02:10:37.7333195Z ok (0.073s)
2022-11-23T02:10:37.7333380Z   test_is_optional (__main__.TestScript) ... ok (0.001s)
2022-11-23T02:10:37.7333658Z   test_is_scripting (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7333854Z   test_is_scripting_metacompile (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7334017Z   test_isinstance (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7334194Z   test_isinstance_dynamic (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7334368Z   test_isinstance_metacompile (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7334546Z   test_isinstance_refinement (__main__.TestScript) ... ok (0.026s)
2022-11-23T02:10:37.7334704Z   test_jitter_bug (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7334862Z   test_keyword (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7335049Z   test_kwarg_expansion_error (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7335221Z   test_kwargs_error_msg (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7335386Z   test_lazy_script (__main__.TestScript) ... ok (0.035s)
2022-11-23T02:10:37.7335593Z   test_lhs_advanced_indexing_assignment (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7335793Z   test_lhs_advanced_indexing_augmented_assignment (__main__.TestScript) ... ok (0.013s)
2022-11-23T02:10:37.7335959Z   test_lhs_indexing (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7336572Z   test_lhs_indexing_increment (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7336873Z   test_lhs_indexing_increment_list (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7337084Z   test_lhs_indexing_increment_list_prim (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7337258Z   test_lhs_indexing_list (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7337436Z   test_lhs_indexing_multi (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7337599Z   test_linear_grad (__main__.TestScript) ... ok (0.022s)
2022-11-23T02:10:37.7337774Z   test_list_comprehension_modulelist (__main__.TestScript) ... ok (0.087s)
2022-11-23T02:10:37.7337984Z   test_list_comprehension_variable_write (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7338157Z   test_list_iterables (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7338329Z   test_list_python_op (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7338488Z   test_list_unify (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7338650Z   test_literal (__main__.TestScript) ... ok (0.094s)
2022-11-23T02:10:37.7338811Z   test_literals (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7338970Z   test_logical_short_circuit (__main__.TestScript) ... ok (0.032s)
2022-11-23T02:10:37.7339141Z   test_loop_liveness (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7339322Z   test_loop_unroll_negative (__main__.TestScript) ... ok (0.023s)
2022-11-23T02:10:37.7339509Z   test_loop_unroll_unused_counter (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7339676Z   test_loop_unrolling (__main__.TestScript) ... ok (0.016s)
2022-11-23T02:10:37.7339854Z   test_loop_unrolling_const (__main__.TestScript) ... ok (0.015s)
2022-11-23T02:10:37.7340035Z   test_loop_unrolling_nested (__main__.TestScript) ... ok (0.083s)
2022-11-23T02:10:37.7340218Z   test_lower_nested_tuples (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7340355Z   test_math_ops (__main__.TestScript) ... ok (0.319s)
2022-11-23T02:10:37.7340599Z   test_maxpool_guard_elimination (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s)
2022-11-23T02:10:37.7340894Z   test_meshgrid (__main__.TestScript) ... skip: Profiling executor fails to recognize that tensors in a list require gradients (0.001s)
2022-11-23T02:10:37.7341072Z   test_method_casts_script (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7341239Z   test_method_no_self (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7341420Z   test_method_overloading (__main__.TestScript) ... ok (12.387s)
2022-11-23T02:10:37.7341592Z   test_missing_getstate (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7341846Z   test_mm_batching (__main__.TestScript) ... ok (5.716s)
2022-11-23T02:10:37.7341989Z   test_module_apis (__main__.TestScript) ... ok (0.092s)
2022-11-23T02:10:37.7342155Z   test_module_attrs (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7342349Z   test_module_copy_with_attributes (__main__.TestScript) ... ok (0.015s)
2022-11-23T02:10:37.7342525Z   test_module_copying (__main__.TestScript) ... ok (0.032s)
2022-11-23T02:10:37.7342695Z   test_module_error (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7342888Z   test_module_method_reassignment (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7343063Z   test_module_none_attrs (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7343263Z   test_module_parameters_and_buffers (__main__.TestScript) ... ok (0.046s)
2022-11-23T02:10:37.7343404Z   test_module_str (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7343602Z   test_module_with_params_called_fails (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7343782Z   test_multi_reduction (__main__.TestScript) ... ok (0.001s)
2022-11-23T02:10:37.7343965Z   test_multi_starred_expr_lhs (__main__.TestScript) ... ok (0.001s)
2022-11-23T02:10:37.7344204Z   test_multiline_annot_ast_py3_fn (__main__.TestScript) ... ok (0.049s)
2022-11-23T02:10:37.7344408Z   test_multiline_optional_future_refinement (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7344654Z   test_multiline_string_dedents (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7344814Z   test_multiple_assign (__main__.TestScript) ... ok (0.014s)
2022-11-23T02:10:37.7344995Z   test_multiple_assignment (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7345157Z   test_mutable_dce (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7345329Z   test_mutable_dce_block (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7345514Z   test_mutable_dce_graph_input (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7345718Z   test_mutable_dce_indirect_wildcard_write (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7345926Z   test_mutable_dce_indirect_wildcards (__main__.TestScript) ... ok (0.014s)
2022-11-23T02:10:37.7346101Z   test_mutable_dce_list (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7346251Z   test_mutable_dce_loop (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7346435Z   test_mutable_dce_wildcards (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7346614Z   test_mutate_constant (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7346785Z   test_mypy_type_ignore (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7346975Z   test_named_buffers_are_iterable (__main__.TestScript) ... ok (0.079s)
2022-11-23T02:10:37.7347146Z   test_namedtuple_attr (__main__.TestScript) ... ok (0.014s)
2022-11-23T02:10:37.7347354Z   test_namedtuple_default_values_Tensor_type (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7347567Z   test_namedtuple_default_values_container_type (__main__.TestScript) ... ok (0.025s)
2022-11-23T02:10:37.7347749Z   test_namedtuple_default_values_missing (__main__.TestScript) ... ok (0.024s)
2022-11-23T02:10:37.7347956Z   test_namedtuple_default_values_simple_type (__main__.TestScript) ... ok (0.023s)
2022-11-23T02:10:37.7348192Z   test_namedtuple_default_values_using_factory_constructor (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7348370Z   test_namedtuple_python (__main__.TestScript) ... ok (0.017s)
2022-11-23T02:10:37.7348560Z   test_namedtuple_type_inference (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7348724Z   test_narrow_copy (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7348900Z   test_nested_aug_assign (__main__.TestScript) ... ok (1.518s)
2022-11-23T02:10:37.7349073Z   test_nested_bailouts (__main__.TestScript) ... ok (0.016s)
2022-11-23T02:10:37.7349220Z   test_nested_breaks (__main__.TestScript) ... ok (0.046s)
2022-11-23T02:10:37.7349402Z   test_nested_list_construct (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7349581Z   test_nested_select_assign (__main__.TestScript) ... ok (0.031s)
2022-11-23T02:10:37.7349807Z   test_nn_GRU (__main__.TestScript) ... ok (0.471s)
2022-11-23T02:10:37.7349961Z   test_nn_LSTM (__main__.TestScript) ... ok (0.189s)
2022-11-23T02:10:37.7350134Z   test_nn_LSTM_with_layers (__main__.TestScript) ... ok (0.190s)
2022-11-23T02:10:37.7350287Z   test_nn_init (__main__.TestScript) ... ok (0.065s)
2022-11-23T02:10:37.7350442Z   test_no_dtype_shape (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7350629Z   test_no_self_arg_ignore_function (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7350796Z   test_non_final_return (__main__.TestScript) ... ok (0.534s)
2022-11-23T02:10:37.7350966Z   test_none_type_str (__main__.TestScript) ... ok (0.001s)
2022-11-23T02:10:37.7351122Z   test_not (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7351307Z   test_not_initialized_err (__main__.TestScript) ... ok (0.001s)
2022-11-23T02:10:37.7351478Z   test_ntuple_builtins (__main__.TestScript) ... ok (0.017s)
2022-11-23T02:10:37.7351642Z   test_number_abs (__main__.TestScript) ... ok (0.024s)
2022-11-23T02:10:37.7351796Z   test_number_augassign (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7351993Z   test_number_augassign_bitwise_lshift (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7352185Z   test_number_augassign_bitwise_pow (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7352432Z   test_number_augassign_bitwise_rshift (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7352604Z   test_number_div (__main__.TestScript) ... ok (0.016s)
2022-11-23T02:10:37.7352766Z   test_number_math (__main__.TestScript) ... ok (3.069s)
2022-11-23T02:10:37.7352922Z   test_number_neg (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7353159Z   test_old_models_bc (__main__.TestScript) ... skip: PyTorch is build without Caffe2 support (0.001s)
2022-11-23T02:10:37.7353303Z   test_oneline_func (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7353462Z   test_op_dtype (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7353647Z   test_operator_precedence (__main__.TestScript) ... ok (0.014s)
2022-11-23T02:10:37.7354222Z   test_optional_list (__main__.TestScript) ... skip: the current version of Profiler doesn't profile/specialize Optionals (0.002s)
2022-11-23T02:10:37.7354621Z   test_optional_tensor (__main__.TestScript) ... skip: the current version of Profiler doesn't profile/specialize Optionals (0.002s)
2022-11-23T02:10:37.7354778Z   test_ord (__main__.TestScript) ... ok (0.014s)
2022-11-23T02:10:37.7354948Z   test_override_magic (__main__.TestScript) ... ok (0.019s)
2022-11-23T02:10:37.7355131Z   test_pack_tuple_into_non_var (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7355287Z   test_pack_unpack_nested (__main__.TestScript) ... ok (0.050s)
2022-11-23T02:10:37.7355463Z   test_pack_unpack_state (__main__.TestScript) ... ok (0.025s)
2022-11-23T02:10:37.7355680Z   test_parameter_order (__main__.TestScript) ... tensor([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,
2022-11-23T02:10:37.7355827Z         14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,
2022-11-23T02:10:37.7355972Z         28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41.,
2022-11-23T02:10:37.7356183Z         42., 43., 44., 45., 46., 47., 48., 49., 50., 51.],
2022-11-23T02:10:37.7356312Z        grad_fn=<CatBackward0>)
2022-11-23T02:10:37.7356467Z tensor([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,
2022-11-23T02:10:37.7356591Z         14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,
2022-11-23T02:10:37.7356729Z         28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41.,
2022-11-23T02:10:37.7356860Z         42., 43., 44., 45., 46., 47., 48., 49., 50., 51.],
2022-11-23T02:10:37.7356986Z        grad_fn=<CatBackward0>)
2022-11-23T02:10:37.7357094Z ok (0.019s)
2022-11-23T02:10:37.7357289Z   test_parse_empty_tuple_annotation (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7357505Z   test_parse_empty_tuple_annotation_element_error (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7357795Z   test_parse_nested_names (__main__.TestScript) ... ok (0.003s)
2022-11-23T02:10:37.7357988Z   test_parse_none_type_annotation (__main__.TestScript) ... ok (0.001s)
2022-11-23T02:10:37.7358175Z   test_parse_tensor_constants (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7358354Z   test_parser_kwargonly (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7358538Z   test_parser_type_annotations (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7358737Z   test_parser_type_annotations_comment (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7358963Z   test_parser_type_annotations_incompatible_expression (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7359178Z   test_parser_type_annotations_subscript_non_ident (__main__.TestScript) ... ok (0.001s)
2022-11-23T02:10:37.7359368Z   test_parser_type_annotations_subscript_tensor (__main__.TestScript) ... ok (0.001s)
2022-11-23T02:10:37.7359581Z   test_parser_type_annotations_unknown_type (__main__.TestScript) ... ok (0.001s)
2022-11-23T02:10:37.7359757Z   test_partial_returns (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7359912Z   test_pass (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7360088Z   test_pickle_checkpoint (__main__.TestScript) ... ok (0.022s)
2022-11-23T02:10:37.7360326Z   test_pickle_checkpoint_cuda (__main__.TestScript) ... ok (0.026s)
2022-11-23T02:10:37.7360519Z   test_pickle_checkpoint_tup (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7360702Z   test_pow_scalar_backward_cuda (__main__.TestScript) ... ok (0.037s)
2022-11-23T02:10:37.7360864Z   test_pretty_print_function (__main__.TestScript) ... ok (0.044s)
2022-11-23T02:10:37.7361108Z   test_prim_grad_undefined (__main__.TestScript) ... skip: shape analysis is only enabled in Legacy (0.001s)
2022-11-23T02:10:37.7361264Z   test_print (__main__.TestScript) ... ok (0.021s)
2022-11-23T02:10:37.7361427Z   test_print_kwargs (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7361674Z   test_profiling_graph_executor (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s)
2022-11-23T02:10:37.7361854Z   test_profiling_merge (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7362040Z   test_pybind_type_comparisons (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7362209Z   test_python_call (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7362373Z   test_python_call_annotation (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7362576Z   test_python_call_annoytation_failure (__main__.TestScript) ... ok (0.003s)
2022-11-23T02:10:37.7362754Z   test_python_call_failure (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7362935Z   test_python_call_non_tensor (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7363125Z   test_python_call_non_tensor_wrong (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7363294Z   test_python_frontend (__main__.TestScript) ... ok (0.003s)
2022-11-23T02:10:37.7363473Z   test_python_frontend_py3 (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7363640Z   test_python_frontend_source_range (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7363817Z   test_python_op_builtins (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7363987Z   test_python_op_name (__main__.TestScript) ... ok (0.003s)
2022-11-23T02:10:37.7364177Z   test_python_val_doesnt_have_attr (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7364390Z   test_rand (__main__.TestScript) ... skip: the original version of test_rand (0.001s)
2022-11-23T02:10:37.7364562Z   test_rand_profiling (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7364719Z   test_range_args (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7364893Z   test_reassign_module_lhs (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7365047Z   test_reassign_module_rhs (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7365225Z   test_refine_tuple_types (__main__.TestScript) ... ok (0.001s)
2022-11-23T02:10:37.7365467Z   test_remove_dropout (__main__.TestScript) ... ok (0.020s)
2022-11-23T02:10:37.7365660Z   test_repeated_script_on_function (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7365830Z   test_request_bailout (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7366055Z   test_requires_grad_loop (__main__.TestScript) ... skip: Peeling is now disabled (0.002s)
2022-11-23T02:10:37.7366245Z   test_rescripting_loaded_modules (__main__.TestScript) ... ok (0.051s)
2022-11-23T02:10:37.7366418Z   test_resize_input_ops (__main__.TestScript) ... ok (0.019s)
2022-11-23T02:10:37.7366553Z   test_return (__main__.TestScript) ... ok (0.030s)
2022-11-23T02:10:37.7366729Z   test_return_stmt_not_at_end (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7366897Z   test_return_tuple (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7367072Z   test_robust_op_resolution (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7367227Z   test_round (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7367406Z   test_save_load_attr_error (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7367581Z   test_script_annotation (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7367735Z   test_script_bool_constant (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7367904Z   test_script_chunk (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7368132Z   test_script_clamp_none (__main__.TestScript) ... ok (0.029s)
2022-11-23T02:10:37.7368320Z   test_script_copy (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7368481Z   test_script_cu (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7368657Z   test_script_define_order (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7368859Z   test_script_define_order_recursive_fail (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7369033Z   test_script_docstring (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7369214Z   test_script_forward_method_replacement (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7369404Z   test_script_get_device_cuda (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7369590Z   test_script_get_tracing_state (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7369769Z   test_script_is_tracing (__main__.TestScript) ... ok (0.014s)
2022-11-23T02:10:37.7369951Z   test_script_kwargs_fn_call (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7370138Z   test_script_method_docstring (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7370341Z   test_script_method_torch_function_overload (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7370509Z   test_script_module (__main__.TestScript) ... ok (0.032s)
2022-11-23T02:10:37.7370678Z   test_script_module_call_noscript (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7370851Z   test_script_module_const (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7371050Z   test_script_module_const_submodule_fail (__main__.TestScript) ... ok (0.038s)
2022-11-23T02:10:37.7371242Z   test_script_module_export_blocks (__main__.TestScript) ... ok (0.019s)
2022-11-23T02:10:37.7372106Z   test_script_module_export_shared_storage (__main__.TestScript) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T02:10:37.7372255Z   warnings.warn(message, UserWarning)
2022-11-23T02:10:37.7372358Z ok (0.015s)
2022-11-23T02:10:37.7372551Z   test_script_module_export_submodule (__main__.TestScript) ... ok (0.036s)
2022-11-23T02:10:37.7372726Z   test_script_module_export_tensor_cuda (__main__.TestScript) ... ok (0.014s)
2022-11-23T02:10:37.7372924Z   test_script_module_export_tensor_type (__main__.TestScript) ... ok (0.020s)
2022-11-23T02:10:37.7373105Z   test_script_module_fail_exist (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7373280Z   test_script_module_for (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7373522Z   test_script_module_for2 (__main__.TestScript) ... ok (0.061s)
2022-11-23T02:10:37.7373711Z   test_script_module_invalid_consts (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7373905Z   test_script_module_nochange_submodule (__main__.TestScript) ... ok (0.018s)
2022-11-23T02:10:37.7374378Z   test_script_module_none_exist_fail (__main__.TestScript) ... skip: [module dedupe] currently NoneType refinement on optional attributes doesn't work. (0.001s)
2022-11-23T02:10:37.7374567Z   test_script_module_not_tuple (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7374750Z   test_script_module_param_buffer_mutation (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7374937Z   test_script_module_star_assign2 (__main__.TestScript) ... ok (0.026s)
2022-11-23T02:10:37.7375135Z   test_script_module_star_assign2_inplace (__main__.TestScript) ... ok (0.026s)
2022-11-23T02:10:37.7375336Z   test_script_module_star_assign_fail_builtin (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7375552Z   test_script_module_star_assign_fail_pythonop (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7375753Z   test_script_module_tensor_subclass_argument (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7375933Z   test_script_nested_mod_list (__main__.TestScript) ... ok (0.069s)
2022-11-23T02:10:37.7376630Z   test_script_non_tensor_args_outputs (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7376813Z   test_script_optional_none (__main__.TestScript) ... ok (0.024s)
2022-11-23T02:10:37.7376983Z   test_script_outputs (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7377177Z   test_script_pack_padded_sequence (__main__.TestScript) ... ok (0.067s)
2022-11-23T02:10:37.7377382Z   test_script_pad_sequence_pack_sequence (__main__.TestScript) ... ok (0.071s)
2022-11-23T02:10:37.7377548Z   test_script_scope (__main__.TestScript) ... ok (0.001s)
2022-11-23T02:10:37.7377726Z   test_script_sequential_for (__main__.TestScript) ... ok (0.048s)
2022-11-23T02:10:37.7377925Z   test_script_sequential_in_mod_list (__main__.TestScript) ... ok (0.076s)
2022-11-23T02:10:37.7378104Z   test_script_sequential_multi_output_fail (__main__.TestScript) ... ok (0.026s)
2022-11-23T02:10:37.7378360Z   test_script_sequential_orderdict (__main__.TestScript) ... ok (0.055s)
2022-11-23T02:10:37.7378569Z   test_script_sequential_sliced_iteration (__main__.TestScript) ... ok (0.055s)
2022-11-23T02:10:37.7378744Z   test_script_star_assign (__main__.TestScript) ... ok (0.021s)
2022-11-23T02:10:37.7378917Z   test_script_star_expr (__main__.TestScript) ... ok (0.038s)
2022-11-23T02:10:37.7379105Z   test_script_star_expr_string (__main__.TestScript) ... ok (0.037s)
2022-11-23T02:10:37.7379280Z   test_scriptable_fn_as_attr (__main__.TestScript) ... ok (0.013s)
2022-11-23T02:10:37.7379480Z   test_scriptmodule_multi_head_attn_cuda (__main__.TestScript) ... ok (0.116s)
2022-11-23T02:10:37.7379662Z   test_scriptmodule_releases_tensors_cuda (__main__.TestScript) ... ok (0.734s)
2022-11-23T02:10:37.7379866Z   test_scriptmodule_transformer_cuda (__main__.TestScript) ... ok (1.180s)
2022-11-23T02:10:37.7380041Z   test_select_after_chunk (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7380211Z   test_sequence_parsing (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7380404Z   test_sequential_intermediary_types (__main__.TestScript) ... ok (0.045s)
2022-11-23T02:10:37.7380590Z   test_serialization_big_ints (__main__.TestScript) ... ok (0.016s)
2022-11-23T02:10:37.7380769Z   test_serialization_sharing (__main__.TestScript) ... ok (0.013s)
2022-11-23T02:10:37.7380947Z   test_serialize_long_lines (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7381111Z   test_serialized_source_ranges (__main__.TestScript) ... ok (0.641s)
2022-11-23T02:10:37.7381307Z   test_serialized_source_ranges2 (__main__.TestScript) ... ok (0.436s)
2022-11-23T02:10:37.7381499Z   test_serialized_source_ranges_dont_jitter (__main__.TestScript) ... ok (0.117s)
2022-11-23T02:10:37.7381812Z   test_serialized_source_ranges_graph (__main__.TestScript) ... ok (0.628s)
2022-11-23T02:10:37.7382010Z   test_serialized_source_ranges_no_dups (__main__.TestScript) ... ok (0.019s)
2022-11-23T02:10:37.7382205Z   test_set_attribute_through_optional (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7382399Z   test_shape_analysis_grad_property (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7382583Z   test_shape_analysis_loop (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7382756Z   test_shape_prop_promote_scalar_arg (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7382942Z   test_shape_prop_promotion (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7383123Z   test_signed_float_zero (__main__.TestScript) ... ok (0.013s)
2022-11-23T02:10:37.7383313Z   test_single_starred_expr_for_loop (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7383487Z   test_single_starred_lhs (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7383675Z   test_singleton_tuple_unpack (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7383915Z   test_slice_guard_elimination (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s)
2022-11-23T02:10:37.7384070Z   test_split (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7384199Z   test_stack (__main__.TestScript) ... ok (0.015s)
2022-11-23T02:10:37.7384419Z   test_static_if_prop (__main__.TestScript) ... ok (3.344s)
2022-11-23T02:10:37.7384597Z   test_static_method_on_module (__main__.TestScript)
2022-11-23T02:10:37.7384821Z Check that the `@staticmethod` annotation on a function on a module works. ... ok (0.014s)
2022-11-23T02:10:37.7384990Z   test_static_methods (__main__.TestScript) ... ok (0.037s)
2022-11-23T02:10:37.7385148Z   test_str_cast (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7385308Z   test_string_cu (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7385485Z   test_string_device_implicit_conversion (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7385671Z   test_string_frontend_elif (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7385836Z   test_string_index (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7385995Z   test_string_len (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7386157Z   test_string_list (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7386331Z   test_string_new_line (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7386496Z   test_string_ops (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7386659Z   test_string_print (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7386816Z   test_string_single_escape (__main__.TestScript) ... ok (0.001s)
2022-11-23T02:10:37.7386987Z   test_string_slicing (__main__.TestScript) ... ok (0.024s)
2022-11-23T02:10:37.7387147Z   test_string_sort (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7387317Z   test_string_sorted (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7387524Z   test_submodule_attribute_serialization (__main__.TestScript) ... ok (0.029s)
2022-11-23T02:10:37.7387701Z   test_submodule_twice (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7387856Z   test_sum (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7388031Z   test_sum_list_diff_elms (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7388179Z   test_sum_list_empty (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7388357Z   test_sum_list_literal (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7388519Z   test_sum_list_one (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7388695Z   test_sum_list_wrong_type (__main__.TestScript) ... ok (0.003s)
2022-11-23T02:10:37.7388869Z   test_sys_stdout_override (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7389331Z   test_tensor_as_tensor_shape_prop (__main__.TestScript) ... skip: Simple Executor doesn't have any shapes to propagate (0.003s)
2022-11-23T02:10:37.7389496Z   test_tensor_data (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7389711Z   test_tensor_device (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7389880Z   test_tensor_dtype (__main__.TestScript) ... ok (0.015s)
2022-11-23T02:10:37.7390042Z   test_tensor_grad (__main__.TestScript) ... ok (0.016s)
2022-11-23T02:10:37.7390218Z   test_tensor_import_export (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7390381Z   test_tensor_len (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7390553Z   test_tensor_number_math (__main__.TestScript) ... ok (0.791s)
2022-11-23T02:10:37.7390735Z   test_tensor_number_math_cuda (__main__.TestScript) ... ok (4.344s)
2022-11-23T02:10:37.7390954Z   test_tensor_requires_grad (__main__.TestScript) ... skip: testing legacy behavior (0.001s)
2022-11-23T02:10:37.7391097Z   test_tensor_shape (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7391849Z   test_tensor_subclasses (__main__.TestScript) ... /opt/conda/lib/python3.10/site-packages/torch/jit/annotations.py:309: UserWarning: TorchScript will treat type annotations of Tensor dtype-specific subtypes as if they are normal Tensors. dtype constraints are not enforced in compilation either.
2022-11-23T02:10:37.7392062Z   warnings.warn("TorchScript will treat type annotations of Tensor "
2022-11-23T02:10:37.7392168Z ok (0.013s)
2022-11-23T02:10:37.7392326Z   test_tensor_to (__main__.TestScript) ... ok (0.133s)
2022-11-23T02:10:37.7392553Z   test_tensor_to_cpu (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7392733Z   test_tensor_to_cuda (__main__.TestScript) ... ok (0.189s)
2022-11-23T02:10:37.7392903Z   test_tensor_to_device (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7393040Z   test_ternary (__main__.TestScript) ... ok (0.014s)
2022-11-23T02:10:37.7393225Z   test_ternary_module_type_hint (__main__.TestScript) ... ok (0.070s)
2022-11-23T02:10:37.7393419Z   test_ternary_right_associative (__main__.TestScript) ... ok (0.014s)
2022-11-23T02:10:37.7393589Z   test_ternary_static_if (__main__.TestScript) ... ok (0.016s)
2022-11-23T02:10:37.7393752Z   test_torch_any (__main__.TestScript) ... ok (0.032s)
2022-11-23T02:10:37.7393984Z   test_torch_functional (__main__.TestScript) ... skip: Skipping while landing PR stack (0.004s)
2022-11-23T02:10:37.7394179Z   test_torch_functional_tensordot_int (__main__.TestScript) ... ok (0.077s)
2022-11-23T02:10:37.7394377Z   test_torch_functional_tensordot_list (__main__.TestScript) ... ok (0.014s)
2022-11-23T02:10:37.7394559Z   test_torch_functional_tensordot_tensor (__main__.TestScript) ... ok (0.037s)
2022-11-23T02:10:37.7394757Z   test_torch_functional_tensordot_tuple (__main__.TestScript) ... ok (0.014s)
2022-11-23T02:10:37.7394959Z   test_torch_ignore_conversion_to_none (__main__.TestScript) ... ok (0.014s)
2022-11-23T02:10:37.7395133Z   test_torch_manual_seed (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7395291Z   test_torch_pow (__main__.TestScript) ... ok (0.061s)
2022-11-23T02:10:37.7396057Z   test_torch_tensor_as_tensor (__main__.TestScript) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:470: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:275.)
2022-11-23T02:10:37.7396196Z   return callable(*args, **kwargs)
2022-11-23T02:10:37.7396299Z ok (1.635s)
2022-11-23T02:10:37.7396474Z   test_torch_tensor_as_tensor_empty_list (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7396661Z   test_torch_tensor_bad_input (__main__.TestScript) ... ok (0.039s)
2022-11-23T02:10:37.7396837Z   test_torch_tensor_dtype (__main__.TestScript) ... ok (0.019s)
2022-11-23T02:10:37.7397028Z   test_torchscript_memoryformat (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7397217Z   test_torchscript_multi_head_attn (__main__.TestScript) ... ok (0.120s)
2022-11-23T02:10:37.7397424Z   test_torchscript_multi_head_attn_fast_path (__main__.TestScript) ... ok (0.251s)
2022-11-23T02:10:37.7397594Z   test_training_param (__main__.TestScript) ... ok (0.011s)
2022-11-23T02:10:37.7397863Z   test_tuple_assignments (__main__.TestScript) ... ok (0.632s)
2022-11-23T02:10:37.7398015Z   test_tuple_error_msg (__main__.TestScript) ... ok (0.003s)
2022-11-23T02:10:37.7398187Z   test_tuple_index_to_list (__main__.TestScript) ... ok (0.012s)
2022-11-23T02:10:37.7398361Z   test_tuple_indexing (__main__.TestScript) ... ok (0.036s)
2022-11-23T02:10:37.7398521Z   test_tuple_len (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7398697Z   test_tuple_nested_sort (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7398858Z   test_tuple_sort (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7399030Z   test_tuple_sort_reverse (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7399198Z   test_tuple_sorted (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7399350Z   test_tuple_to_opt_list (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7399538Z   test_tuple_unsortable_diff_type (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7399727Z   test_tuple_unsortable_element_type (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7399931Z   test_tuple_unsortable_nested_diff_type (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7400104Z   test_type_annotate (__main__.TestScript) ... ok (0.027s)
2022-11-23T02:10:37.7400294Z   test_type_annotation_module (__main__.TestScript) ... ok (0.021s)
2022-11-23T02:10:37.7400542Z   test_type_annotation_py3 (__main__.TestScript) ... ok (0.019s)
2022-11-23T02:10:37.7400706Z   test_type_annotations (__main__.TestScript) ... ok (0.032s)
2022-11-23T02:10:37.7400909Z   test_type_annotations_repeated_list (__main__.TestScript) ... ok (0.023s)
2022-11-23T02:10:37.7401097Z   test_type_annotations_varargs (__main__.TestScript) ... ok (0.023s)
2022-11-23T02:10:37.7401271Z   test_type_call_in_script (__main__.TestScript) ... ok (0.004s)
2022-11-23T02:10:37.7401430Z   test_type_cast (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7401606Z   test_type_comments_in_body (__main__.TestScript) ... ok (0.007s)
2022-11-23T02:10:37.7401792Z   test_type_inferred_from_empty_annotation (__main__.TestScript)
2022-11-23T02:10:37.7402050Z Test that the type inferred from an empty or missing annotation is Torch.Tensor wtih `inferred=true` ... ok (0.004s)
2022-11-23T02:10:37.7402339Z   test_unbind (__main__.TestScript) ... skip: Profiling executor will be using different heuristics for constructing differentiable graphs (0.001s)
2022-11-23T02:10:37.7402517Z   test_unfold_zero_dim (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7402691Z   test_unicode_comments (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7402862Z   test_uninitialized (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7403036Z   test_union_to_number (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7403201Z   test_unknown_builtin (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7403390Z   test_unmatched_type_annotation (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7403581Z   test_unspecialized_any_binding (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7403810Z   test_unsqueeze_guard_elimination (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s)
2022-11-23T02:10:37.7404002Z   test_unsupported_builtin_error (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7404178Z   test_unused_decorator (__main__.TestScript) ... ok (0.010s)
2022-11-23T02:10:37.7404368Z   test_unwrap_optional_builtin (__main__.TestScript) ... ok (0.017s)
2022-11-23T02:10:37.7404542Z   test_var_aug_assign (__main__.TestScript) ... ok (1.528s)
2022-11-23T02:10:37.7404712Z   test_vararg_zeros (__main__.TestScript) ... ok (0.008s)
2022-11-23T02:10:37.7404911Z   test_view_listconstruct_shape_prop (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7405081Z   test_view_shape_prop (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7405222Z   test_view_write (__main__.TestScript) ... ok (0.097s)
2022-11-23T02:10:37.7405382Z   test_weak_cuda (__main__.TestScript) ... ok (0.363s)
2022-11-23T02:10:37.7405540Z   test_where (__main__.TestScript) ... ok (0.129s)
2022-11-23T02:10:37.7405787Z   test_where_method (__main__.TestScript) ... ok (0.098s)
2022-11-23T02:10:37.7405940Z   test_while (__main__.TestScript) ... ok (0.077s)
2022-11-23T02:10:37.7406105Z   test_while_nest_if (__main__.TestScript) ... ok (0.074s)
2022-11-23T02:10:37.7406297Z   test_while_nonexistent_cond_value (__main__.TestScript) ... ok (0.050s)
2022-11-23T02:10:37.7406486Z   test_while_nonexistent_value (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7406650Z   test_while_write_outer_then_read (__main__.TestScript) ... ok (0.013s)
2022-11-23T02:10:37.7406827Z   test_wrong_attr_lookup (__main__.TestScript) ... ok (0.003s)
2022-11-23T02:10:37.7407010Z   test_wrong_implicit_expand (__main__.TestScript) ... ok (0.009s)
2022-11-23T02:10:37.7407197Z   test_wrong_method_call_inputs (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7407381Z   test_wrong_module_attr_lookup (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7407552Z   test_wrong_return_type (__main__.TestScript) ... ok (0.006s)
2022-11-23T02:10:37.7407735Z   test_wrong_use_as_callable (__main__.TestScript) ... ok (0.002s)
2022-11-23T02:10:37.7407887Z   test_wrong_use_as_tuple (__main__.TestScript) ... ok (0.005s)
2022-11-23T02:10:37.7408047Z   test_zeros (__main__.TestScript) ... ok (0.017s)
2022-11-23T02:10:37.7408374Z   test_zip_enumerate_modulelist (__main__.TestScript) ... ok (0.763s)
2022-11-23T02:10:37.7408549Z   test_bool (jit.test_list_dict.TestScriptDict)
2022-11-23T02:10:37.7408727Z Test the __bool__ method. This should return True ... ok (0.002s)
2022-11-23T02:10:37.7408899Z   test_contains (jit.test_list_dict.TestScriptDict)
2022-11-23T02:10:37.7409070Z Test membership checks (x in y, x not in y). ... ok (0.002s)
2022-11-23T02:10:37.7409241Z   test_delitem (jit.test_list_dict.TestScriptDict)
2022-11-23T02:10:37.7409349Z Test deletion. ... ok (0.002s)
2022-11-23T02:10:37.7409518Z   test_getitem (jit.test_list_dict.TestScriptDict)
2022-11-23T02:10:37.7409714Z Test accessing dictionary values using the [] operator. ... ok (0.002s)
2022-11-23T02:10:37.7409884Z   test_items (jit.test_list_dict.TestScriptDict)
2022-11-23T02:10:37.7410006Z Test .items(). ... ok (0.001s)
2022-11-23T02:10:37.7410166Z   test_iter (jit.test_list_dict.TestScriptDict)
2022-11-23T02:10:37.7410447Z Test iteration over a dictionary's keys. ... ok (0.001s)
2022-11-23T02:10:37.7410593Z   test_len (jit.test_list_dict.TestScriptDict)
2022-11-23T02:10:37.7410740Z Test len() builtin function. ... ok (0.001s)
2022-11-23T02:10:37.7410909Z   test_nested (jit.test_list_dict.TestScriptDict)
2022-11-23T02:10:37.7411234Z Test that reference semantics are honoured when the ScriptDict that is ... skip: Cannot pass until all dicts returned from TorchScript are ScriptDicts (0.001s)
2022-11-23T02:10:37.7411424Z   test_reference_semantics (jit.test_list_dict.TestScriptDict)
2022-11-23T02:10:37.7411636Z Test that reference semantics are honoured; that modifications made ... ok (0.006s)
2022-11-23T02:10:37.7411798Z   test_repr (jit.test_list_dict.TestScriptDict)
2022-11-23T02:10:37.7411940Z Test the __repr__ method. ... ok (0.001s)
2022-11-23T02:10:37.7412088Z   test_setitem (jit.test_list_dict.TestScriptDict)
2022-11-23T02:10:37.7412277Z Test setting dictionary values using the [] operator. ... ok (0.002s)
2022-11-23T02:10:37.7412443Z   test_append (jit.test_list_dict.TestScriptList)
2022-11-23T02:10:37.7412583Z Test append method. ... ok (0.002s)
2022-11-23T02:10:37.7412748Z   test_bool (jit.test_list_dict.TestScriptList)
2022-11-23T02:10:37.7412925Z Test the __bool__ method. This should return True ... ok (0.001s)
2022-11-23T02:10:37.7413090Z   test_clear (jit.test_list_dict.TestScriptList)
2022-11-23T02:10:37.7413189Z Test clear. ... ok (0.001s)
2022-11-23T02:10:37.7413357Z   test_contains (jit.test_list_dict.TestScriptList)
2022-11-23T02:10:37.7413528Z Test membership checks (x in y, x not in y). ... ok (0.002s)
2022-11-23T02:10:37.7413690Z   test_count (jit.test_list_dict.TestScriptList)
2022-11-23T02:10:37.7413944Z Test count method. ... ok (0.001s)
2022-11-23T02:10:37.7414112Z   test_delitem (jit.test_list_dict.TestScriptList)
2022-11-23T02:10:37.7414242Z Test deletion. ... ok (0.002s)
2022-11-23T02:10:37.7414387Z   test_extend (jit.test_list_dict.TestScriptList)
2022-11-23T02:10:37.7414509Z Test extend. ... ok (0.003s)
2022-11-23T02:10:37.7414682Z   test_getitem (jit.test_list_dict.TestScriptList)
2022-11-23T02:10:37.7414871Z Test accessing list elements using the [] operator. ... ok (0.005s)
2022-11-23T02:10:37.7415039Z   test_insert (jit.test_list_dict.TestScriptList)
2022-11-23T02:10:37.7415160Z Test insert. ... ok (0.002s)
2022-11-23T02:10:37.7415319Z   test_iter (jit.test_list_dict.TestScriptList)
2022-11-23T02:10:37.7415545Z Test iteration over a list's elements. ... ok (0.001s)
2022-11-23T02:10:37.7415716Z   test_len (jit.test_list_dict.TestScriptList)
2022-11-23T02:10:37.7415868Z Test len() builtin function. ... ok (0.001s)
2022-11-23T02:10:37.7416510Z   test_nested (jit.test_list_dict.TestScriptList)
2022-11-23T02:10:37.7416873Z Test that reference semantics are honoured when the ScriptList that is ... skip: Cannot pass until all list returned from TorchScript are ScriptLists (0.001s)
2022-11-23T02:10:37.7417036Z   test_pop (jit.test_list_dict.TestScriptList)
2022-11-23T02:10:37.7417155Z Test pop. ... ok (0.002s)
2022-11-23T02:10:37.7417346Z   test_reference_semantics (jit.test_list_dict.TestScriptList)
2022-11-23T02:10:37.7417704Z Test that reference semantics are honoured; that modifications made ... ok (0.006s)
2022-11-23T02:10:37.7417886Z   test_remove (jit.test_list_dict.TestScriptList)
2022-11-23T02:10:37.7418021Z Test remove method. ... ok (0.002s)
2022-11-23T02:10:37.7418187Z   test_repr (jit.test_list_dict.TestScriptList)
2022-11-23T02:10:37.7418328Z Test the __repr__ method. ... ok (0.001s)
2022-11-23T02:10:37.7418492Z   test_setitem (jit.test_list_dict.TestScriptList)
2022-11-23T02:10:37.7418668Z Test setting list elements using the [] operator. ... ok (0.003s)
2022-11-23T02:10:37.7419009Z   test_annotated_class_level_annotation_and_init_annotation (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.012s)
2022-11-23T02:10:37.7419354Z   test_annotated_class_level_annotation_only (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.012s)
2022-11-23T02:10:37.7419693Z   test_annotated_class_level_jit_annotation (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.012s)
2022-11-23T02:10:37.7420018Z   test_annotated_empty_dict (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.013s)
2022-11-23T02:10:37.7420339Z   test_annotated_empty_list (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.011s)
2022-11-23T02:10:37.7420667Z   test_annotated_empty_optional (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.011s)
2022-11-23T02:10:37.7420990Z   test_annotated_empty_tensor (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.013s)
2022-11-23T02:10:37.7421321Z   test_annotated_falsy_base_type (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.012s)
2022-11-23T02:10:37.7421650Z   test_annotated_nonempty_container (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.012s)
2022-11-23T02:10:37.7421984Z   test_annotated_with_jit_attribute (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.012s)
2022-11-23T02:10:37.7422291Z   test_annotated_with_jit_empty_dict (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.011s)
2022-11-23T02:10:37.7422620Z   test_annotated_with_jit_empty_list (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.011s)
2022-11-23T02:10:37.7422954Z   test_annotated_with_jit_empty_optional (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.011s)
2022-11-23T02:10:37.7423285Z   test_annotated_with_torch_jit_import (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.011s)
2022-11-23T02:10:37.7423595Z   test_basic (jit.test_script_profile.TestScriptProfile) ... ok (0.138s)
2022-11-23T02:10:37.7423801Z   test_empty (jit.test_script_profile.TestScriptProfile) ... ok (0.001s)
2022-11-23T02:10:37.7424006Z   test_multi (jit.test_script_profile.TestScriptProfile) ... ok (0.132s)
2022-11-23T02:10:37.7424218Z   test_script (jit.test_script_profile.TestScriptProfile) ... ok (0.149s)
2022-11-23T02:10:37.7424430Z   test_section (jit.test_script_profile.TestScriptProfile) ... ok (0.435s)
2022-11-23T02:10:37.7424600Z   test_module_list_slicing (jit.test_slice.TestSlice) ... ok (0.035s)
2022-11-23T02:10:37.7424786Z   test_slice_as_variable (jit.test_slice.TestSlice) ... ok (0.008s)
2022-11-23T02:10:37.7424980Z   test_slice_dynamic_index (jit.test_slice.TestSlice) ... ok (0.010s)
2022-11-23T02:10:37.7425155Z   test_slice_kwarg (jit.test_slice.TestSlice) ... ok (0.003s)
2022-11-23T02:10:37.7425335Z   test_slice_one_none (jit.test_slice.TestSlice) ... ok (0.009s)
2022-11-23T02:10:37.7425522Z   test_slice_start_stop (jit.test_slice.TestSlice) ... ok (0.008s)
2022-11-23T02:10:37.7425718Z   test_slice_start_stop_step (jit.test_slice.TestSlice) ... ok (0.008s)
2022-11-23T02:10:37.7425913Z   test_slice_start_stop_with_none (jit.test_slice.TestSlice) ... ok (0.008s)
2022-11-23T02:10:37.7426136Z   test_slice_stop_clipped (jit.test_slice.TestSlice) ... ok (0.009s)
2022-11-23T02:10:37.7426335Z   test_slice_stop_only (jit.test_slice.TestSlice) ... ok (0.008s)
2022-11-23T02:10:37.7426537Z   test_slice_stop_only_with_nones (jit.test_slice.TestSlice) ... ok (0.008s)
2022-11-23T02:10:37.7426715Z   test_slice_string (jit.test_slice.TestSlice) ... ok (0.008s)
2022-11-23T02:10:37.7426889Z   test_slice_tensor (jit.test_slice.TestSlice) ... ok (0.009s)
2022-11-23T02:10:37.7427079Z   test_slice_tensor_multidim (jit.test_slice.TestSlice) ... ok (0.010s)
2022-11-23T02:10:37.7427285Z   test_slice_tensor_multidim_with_dots (jit.test_slice.TestSlice) ... ok (0.009s)
2022-11-23T02:10:37.7427470Z   test_slice_three_nones (jit.test_slice.TestSlice) ... ok (0.009s)
2022-11-23T02:10:37.7427629Z   test_slice_two_nones (jit.test_slice.TestSlice) ... ok (0.009s)
2022-11-23T02:10:37.7427810Z   test_tuple_slicing (jit.test_slice.TestSlice) ... ok (0.010s)
2022-11-23T02:10:37.7428001Z   test_freeze_sparse_coo (jit.test_sparse.TestSparse) ... ok (0.014s)
2022-11-23T02:10:37.7428191Z   test_freeze_sparse_csr (jit.test_sparse.TestSparse) ... ok (0.015s)
2022-11-23T02:10:37.7428386Z   test_serialize_sparse_coo (jit.test_sparse.TestSparse) ... ok (0.012s)
2022-11-23T02:10:37.7428581Z   test_serialize_sparse_csr (jit.test_sparse.TestSparse) ... ok (0.013s)
2022-11-23T02:10:37.7428822Z   test_modulo_operator (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s)
2022-11-23T02:10:37.7429126Z   test_string_interpolation_with_alternate_digit_placeholder (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s)
2022-11-23T02:10:37.7429437Z   test_string_interpolation_with_capital_exponent_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s)
2022-11-23T02:10:37.7429740Z   test_string_interpolation_with_char_placeholder_and_char_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s)
2022-11-23T02:10:37.7430053Z   test_string_interpolation_with_char_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s)
2022-11-23T02:10:37.7430365Z   test_string_interpolation_with_char_placeholder_and_true_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.010s)
2022-11-23T02:10:37.7430674Z   test_string_interpolation_with_digit_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s)
2022-11-23T02:10:37.7430980Z   test_string_interpolation_with_digit_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.010s)
2022-11-23T02:10:37.7431266Z   test_string_interpolation_with_double_percent_in_string (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s)
2022-11-23T02:10:37.7431651Z   test_string_interpolation_with_exponent_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.010s)
2022-11-23T02:10:37.7431963Z   test_string_interpolation_with_float_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.007s)
2022-11-23T02:10:37.7432267Z   test_string_interpolation_with_float_placeholder_and_float_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s)
2022-11-23T02:10:37.7432575Z   test_string_interpolation_with_lowercase_exponent_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s)
2022-11-23T02:10:37.7432866Z   test_string_interpolation_with_multiple_placeholders (jit.test_string_formatting.TestStringFormatting) ... ok (0.007s)
2022-11-23T02:10:37.7433146Z   test_string_interpolation_with_percent_in_string (jit.test_string_formatting.TestStringFormatting) ... ok (0.010s)
2022-11-23T02:10:37.7433456Z   test_string_interpolation_with_string_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s)
2022-11-23T02:10:37.7433774Z   test_string_interpolation_with_string_placeholder_and_format_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s)
2022-11-23T02:10:37.7434161Z   test_string_interpolation_with_string_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s)
2022-11-23T02:10:37.7434443Z   test_string_interpolation_with_subscript (jit.test_string_formatting.TestStringFormatting) ... ok (0.007s)
2022-11-23T02:10:37.7434718Z   test_string_interpolation_with_too_few_arguments (jit.test_string_formatting.TestStringFormatting) ... ok (0.010s)
2022-11-23T02:10:37.7434995Z   test_string_interpolation_with_too_many_arguments (jit.test_string_formatting.TestStringFormatting) ... ok (0.010s)
2022-11-23T02:10:37.7435281Z   test_string_interpolation_with_unknown_format_specifier (jit.test_string_formatting.TestStringFormatting) ... ok (0.010s)
2022-11-23T02:10:37.7435612Z   test_adaptive_avg_pool2d (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.039s)
2022-11-23T02:10:37.7435870Z   test_arange_shape (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.030s)
2022-11-23T02:10:37.7436152Z   test_binary_shape_fns_inplace (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.009s)
2022-11-23T02:10:37.7436420Z   test_binary_shape_functions (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.007s)
2022-11-23T02:10:37.7436691Z   test_convolution_backward (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.018s)
2022-11-23T02:10:37.7436948Z   test_if_propagation (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.006s)
2022-11-23T02:10:37.7437216Z   test_partial_eval_graph_conv (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.018s)
2022-11-23T02:10:37.7437487Z   test_partial_eval_stitching (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.045s)
2022-11-23T02:10:37.7437779Z   test_refinement_through_graph_stitching (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.033s)
2022-11-23T02:10:37.7438049Z   test_register_function_error_checking (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.017s)
2022-11-23T02:10:37.7438346Z   test_returning_input_symbolic_shapes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.016s)
2022-11-23T02:10:37.7438601Z   test_shape_analysis (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.010s)
2022-11-23T02:10:37.7438857Z   test_shape_concat (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.146s)
2022-11-23T02:10:37.7439127Z   test_shape_embedding_bag (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.027s)
2022-11-23T02:10:37.7439460Z   test_shape_function_includes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... skip: shape functions not loaded in python (0.001s)
2022-11-23T02:10:37.7439797Z   test_shared_shape_graph (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.002s)
2022-11-23T02:10:37.7440051Z   test_size_and_sizes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.008s)
2022-11-23T02:10:37.7440323Z   test_stitching_concat (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.034s)
2022-11-23T02:10:37.7440567Z   test_stitching_multi_output (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.025s)
2022-11-23T02:10:37.7440825Z   test_sym_ir_parsing (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.001s)
2022-11-23T02:10:37.7441095Z   test_unary_shape_fns_inplace (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.003s)
2022-11-23T02:10:37.7441360Z   test_unary_shape_functions (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.004s)
2022-11-23T02:10:37.7441605Z   test_write (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.005s)
2022-11-23T02:10:37.7441819Z   test_method_on_number (jit.test_builtins.TestTensorBuiltins) ... ok (0.003s)
2022-11-23T02:10:37.7442048Z   test_scalar_to_num_conversions (jit.test_builtins.TestTensorBuiltins) ... ok (0.018s)
2022-11-23T02:10:37.7442308Z   test_tensor_item (jit.test_builtins.TestTensorBuiltins) ... ok (0.009s)
2022-11-23T02:10:37.7442542Z   test_tensor_properties (jit.test_builtins.TestTensorBuiltins) ... ok (0.021s)
2022-11-23T02:10:37.7442746Z   test_tensor_subscript_assign (jit.test_builtins.TestTensorBuiltins) ... ok (0.052s)
2022-11-23T02:10:37.7442981Z   test_tensor_subscript_assign_device (jit.test_builtins.TestTensorBuiltins) ... ok (0.015s)
2022-11-23T02:10:37.7443227Z   test_randperm_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.009s)
2022-11-23T02:10:37.7443479Z   test_randperm_specifed_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.009s)
2022-11-23T02:10:37.7443734Z   test_tril_indices_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.009s)
2022-11-23T02:10:37.7443990Z   test_tril_indices_specified_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.009s)
2022-11-23T02:10:37.7444311Z   test_triu_indices_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.009s)
2022-11-23T02:10:37.7444571Z   test_triu_indices_specified_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.009s)
2022-11-23T02:10:37.7444756Z   test_getitem (jit.test_tensor_methods.TestTensorMethods) ... ok (0.010s)
2022-11-23T02:10:37.7444978Z   test_getitem_invalid (jit.test_tensor_methods.TestTensorMethods) ... ok (0.002s)
2022-11-23T02:10:37.7445178Z   test_default_args (jit.test_torchbind.TestTorchbind) ... ok (0.017s)
2022-11-23T02:10:37.7445400Z   test_lambda_as_constructor (jit.test_torchbind.TestTorchbind) ... ok (0.001s)
2022-11-23T02:10:37.7445984Z   test_profiler_custom_op (jit.test_torchbind.TestTorchbind) ... STAGE:2022-11-23 02:10:28 4953:4953 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:10:37.7446331Z STAGE:2022-11-23 02:10:28 4953:4953 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:10:37.7446686Z STAGE:2022-11-23 02:10:28 4953:4953 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:10:37.7446791Z ok (0.004s)
2022-11-23T02:10:37.7446998Z   test_staticmethod (jit.test_torchbind.TestTorchbind) ... ok (0.005s)
2022-11-23T02:10:37.7447171Z   test_torchbind (jit.test_torchbind.TestTorchbind) ... ok (0.014s)
2022-11-23T02:10:37.7447391Z   test_torchbind_attr_exception (jit.test_torchbind.TestTorchbind) ... ok (0.001s)
2022-11-23T02:10:37.7447621Z   test_torchbind_class_attr_recursive (jit.test_torchbind.TestTorchbind) ... ok (0.006s)
2022-11-23T02:10:37.7447841Z   test_torchbind_class_attribute (jit.test_torchbind.TestTorchbind) ... ok (0.008s)
2022-11-23T02:10:37.7448132Z   test_torchbind_deepcopy (jit.test_torchbind.TestTorchbind) ... ok (0.006s)
2022-11-23T02:10:37.7448367Z   test_torchbind_def_property_getter_setter (jit.test_torchbind.TestTorchbind) ... ok (0.013s)
2022-11-23T02:10:37.7448597Z   test_torchbind_def_property_just_getter (jit.test_torchbind.TestTorchbind) ... ok (0.007s)
2022-11-23T02:10:37.7448829Z   test_torchbind_def_property_readwrite (jit.test_torchbind.TestTorchbind) ... ok (0.008s)
2022-11-23T02:10:37.7449014Z   test_torchbind_getattr (jit.test_torchbind.TestTorchbind) ... ok (0.001s)
2022-11-23T02:10:37.7449227Z   test_torchbind_getstate (jit.test_torchbind.TestTorchbind) ... ok (0.008s)
2022-11-23T02:10:37.7449461Z   test_torchbind_instantiate_missing_class (jit.test_torchbind.TestTorchbind) ... ok (0.003s)
2022-11-23T02:10:37.7449675Z   test_torchbind_lambda_method (jit.test_torchbind.TestTorchbind) ... ok (0.003s)
2022-11-23T02:10:37.7449873Z   test_torchbind_no_init (jit.test_torchbind.TestTorchbind) ... ok (0.003s)
2022-11-23T02:10:37.7450106Z   test_torchbind_optional_explicit_attr (jit.test_torchbind.TestTorchbind) ... ok (0.006s)
2022-11-23T02:10:37.7450325Z   test_torchbind_pass_wrong_type (jit.test_torchbind.TestTorchbind) ... ok (0.002s)
2022-11-23T02:10:37.7450552Z   test_torchbind_pickle_serialization (jit.test_torchbind.TestTorchbind) ... ok (0.002s)
2022-11-23T02:10:37.7450812Z   test_torchbind_python_deepcopy (jit.test_torchbind.TestTorchbind) ... ok (0.002s)
2022-11-23T02:10:37.7451039Z   test_torchbind_return_instance (jit.test_torchbind.TestTorchbind) ... ok (0.003s)
2022-11-23T02:10:37.7451275Z   test_torchbind_return_instance_from_method (jit.test_torchbind.TestTorchbind) ... ok (0.004s)
2022-11-23T02:10:37.7451488Z   test_torchbind_return_tuple (jit.test_torchbind.TestTorchbind) ... ok (0.003s)
2022-11-23T02:10:37.7451695Z   test_torchbind_save_load (jit.test_torchbind.TestTorchbind) ... ok (0.006s)
2022-11-23T02:10:37.7451902Z   test_torchbind_take_as_arg (jit.test_torchbind.TestTorchbind) ... ok (0.003s)
2022-11-23T02:10:37.7452139Z   test_torchbind_take_instance_as_method_arg (jit.test_torchbind.TestTorchbind) ... ok (0.004s)
2022-11-23T02:10:37.7452344Z   test_torchbind_tracing (jit.test_torchbind.TestTorchbind) ... ok (0.009s)
2022-11-23T02:10:37.7452561Z   test_torchbind_tracing_nested (jit.test_torchbind.TestTorchbind) ... ok (0.012s)
2022-11-23T02:10:37.7452761Z   test_call_traced_fn_from_traced_module (jit.test_tracer.TestTracer) ... ok (0.023s)
2022-11-23T02:10:37.7452980Z   test_call_traced_module_from_traced_module (jit.test_tracer.TestTracer) ... ok (0.034s)
2022-11-23T02:10:37.7453188Z   test_canonicalize_tensor_iterator (jit.test_tracer.TestTracer) ... ok (0.018s)
2022-11-23T02:10:37.7453366Z   test_constant (jit.test_tracer.TestTracer) ... ok (0.015s)
2022-11-23T02:10:37.7453535Z   test_conv (jit.test_tracer.TestTracer) ... ok (0.023s)
2022-11-23T02:10:37.7453730Z   test_export_no_reorder (jit.test_tracer.TestTracer) ... ok (0.027s)
2022-11-23T02:10:37.7453936Z   test_force_outplace_check_fill (jit.test_tracer.TestTracer) ... ok (0.015s)
2022-11-23T02:10:37.7454147Z   test_force_outplace_check_zero (jit.test_tracer.TestTracer) ... ok (0.014s)
2022-11-23T02:10:37.7454295Z   test_ge (jit.test_tracer.TestTracer) ... ok (0.023s)
2022-11-23T02:10:37.7454471Z   test_ge_cuda (jit.test_tracer.TestTracer) ... ok (1.516s)
2022-11-23T02:10:37.7454654Z   test_ge_optimized (jit.test_tracer.TestTracer) ... ok (0.314s)
2022-11-23T02:10:37.7454845Z   test_ge_unoptimized (jit.test_tracer.TestTracer) ... ok (0.072s)
2022-11-23T02:10:37.7455021Z   test_index_put (jit.test_tracer.TestTracer) ... ok (0.013s)
2022-11-23T02:10:37.7455218Z   test_index_put_trace_with_view (jit.test_tracer.TestTracer) ... ok (0.011s)
2022-11-23T02:10:37.7455428Z   test_index_put_trace_without_view (jit.test_tracer.TestTracer) ... ok (0.010s)
2022-11-23T02:10:37.7455592Z   test_inplace_check (jit.test_tracer.TestTracer) ... ok (0.004s)
2022-11-23T02:10:37.7455777Z   test_inplace_copy (jit.test_tracer.TestTracer) ... ok (0.011s)
2022-11-23T02:10:37.7456401Z   test_inplace_copy_force_outplace (jit.test_tracer.TestTracer) ... ok (0.011s)
2022-11-23T02:10:37.7456601Z   test_inplace_flags (jit.test_tracer.TestTracer) ... ok (0.004s)
2022-11-23T02:10:37.7456795Z   test_inplace_transplant (jit.test_tracer.TestTracer) ... ok (0.009s)
2022-11-23T02:10:37.7456979Z   test_inplace_warn (jit.test_tracer.TestTracer) ... ok (0.015s)
2022-11-23T02:10:37.7457182Z   test_input_dict_checkTrace_mut (jit.test_tracer.TestTracer) ... ok (0.010s)
2022-11-23T02:10:37.7457373Z   test_input_dict_empty (jit.test_tracer.TestTracer) ... ok (0.003s)
2022-11-23T02:10:37.7457544Z   test_input_dict_empty_list (jit.test_tracer.TestTracer) ... ok (0.003s)
2022-11-23T02:10:37.7457735Z   test_input_dict_insertion_order (jit.test_tracer.TestTracer)
2022-11-23T02:10:37.7458148Z Check that dictionary access doesn't care about insertion order ... ok (0.016s)
2022-11-23T02:10:37.7458343Z   test_input_dict_of_dicts (jit.test_tracer.TestTracer) ... ok (0.013s)
2022-11-23T02:10:37.7458538Z   test_input_dict_of_lists (jit.test_tracer.TestTracer) ... ok (0.012s)
2022-11-23T02:10:37.7458729Z   test_input_dict_recursive (jit.test_tracer.TestTracer) ... ok (0.015s)
2022-11-23T02:10:37.7458917Z   test_input_dict_remembers_keys (jit.test_tracer.TestTracer)
2022-11-23T02:10:37.7459117Z Check that the trace remembers which keys were in a dict input ... ok (0.020s)
2022-11-23T02:10:37.7459413Z   test_input_dict_unify (jit.test_tracer.TestTracer) ... ok (0.010s)
2022-11-23T02:10:37.7459596Z   test_input_flatten (jit.test_tracer.TestTracer)
2022-11-23T02:10:37.7459785Z Check that inputs to traced functions are flattened ... ok (0.022s)
2022-11-23T02:10:37.7459980Z   test_input_list_mixed_type (jit.test_tracer.TestTracer) ... ok (0.005s)
2022-11-23T02:10:37.7460177Z   test_input_list_of_tuples (jit.test_tracer.TestTracer) ... ok (0.010s)
2022-11-23T02:10:37.7460380Z   test_input_list_toplevel_flatten (jit.test_tracer.TestTracer) ... ok (0.012s)
2022-11-23T02:10:37.7460596Z   test_input_list_toplevel_flatten_direct (jit.test_tracer.TestTracer) ... ok (0.013s)
2022-11-23T02:10:37.7460797Z   test_input_tuple_of_dicts (jit.test_tracer.TestTracer) ... ok (0.013s)
2022-11-23T02:10:37.7460970Z   test_interpolate_trace (jit.test_tracer.TestTracer) ... ok (0.040s)
2022-11-23T02:10:37.7461166Z   test_large_nbr_kernel_args (jit.test_tracer.TestTracer) ... ok (0.337s)
2022-11-23T02:10:37.7461359Z   test_lhs_index_fails (jit.test_tracer.TestTracer) ... ok (0.022s)
2022-11-23T02:10:37.7461551Z   test_lhs_index_trivial (jit.test_tracer.TestTracer) ... ok (0.011s)
2022-11-23T02:10:37.7461727Z   test_max_pool (jit.test_tracer.TestTracer) ... ok (0.020s)
2022-11-23T02:10:37.7461912Z   test_nested_inplace (jit.test_tracer.TestTracer) ... ok (0.008s)
2022-11-23T02:10:37.7462099Z   test_non_tensor_tracing (jit.test_tracer.TestTracer) ... ok (0.003s)
2022-11-23T02:10:37.7462270Z   test_output_unflatten (jit.test_tracer.TestTracer)
2022-11-23T02:10:37.7462505Z Check that outputs of traced functions retain the original structure and nesting ... expected failure (0.014s)
2022-11-23T02:10:37.7462697Z   test_python_function (jit.test_tracer.TestTracer) ... ok (0.008s)
2022-11-23T02:10:37.7462891Z   test_python_function_tup (jit.test_tracer.TestTracer) ... ok (0.012s)
2022-11-23T02:10:37.7463076Z   test_repeated_input (jit.test_tracer.TestTracer) ... ok (0.013s)
2022-11-23T02:10:37.7463261Z   test_repeated_output (jit.test_tracer.TestTracer) ... ok (0.013s)
2022-11-23T02:10:37.7463444Z   test_shared_param (jit.test_tracer.TestTracer) ... ok (0.003s)
2022-11-23T02:10:37.7463623Z   test_simple (jit.test_tracer.TestTracer) ... ok (0.028s)
2022-11-23T02:10:37.7463808Z   test_tensor_with_grad_as_constant (jit.test_tracer.TestTracer) ... ok (0.002s)
2022-11-23T02:10:37.7464012Z   test_trace_aliased_parameter (jit.test_tracer.TestTracer) ... ok (0.015s)
2022-11-23T02:10:37.7464204Z   test_trace_annotation (jit.test_tracer.TestTracer) ... ok (0.010s)
2022-11-23T02:10:37.7464385Z   test_trace_arange (jit.test_tracer.TestTracer) ... ok (0.034s)
2022-11-23T02:10:37.7464691Z   test_trace_arange_with_grad (jit.test_tracer.TestTracer) ... ok (0.035s)
2022-11-23T02:10:37.7464892Z   test_trace_autograd_function (jit.test_tracer.TestTracer) ... ok (0.014s)
2022-11-23T02:10:37.7465151Z   test_trace_c10_ops (jit.test_tracer.TestTracer) ... skip: Skip the test since c2 ops are not registered. (0.004s)
2022-11-23T02:10:37.7465340Z   test_trace_casts (jit.test_tracer.TestTracer) ... ok (0.071s)
2022-11-23T02:10:37.7465520Z   test_trace_checker_control_flow (jit.test_tracer.TestTracer) ... ok (0.012s)
2022-11-23T02:10:37.7465717Z   test_trace_checker_dot_data (jit.test_tracer.TestTracer) ... ok (0.011s)
2022-11-23T02:10:37.7465929Z   test_trace_checker_dropout_notrain (jit.test_tracer.TestTracer) ... ok (0.010s)
2022-11-23T02:10:37.7466133Z   test_trace_checker_dropout_train (jit.test_tracer.TestTracer) ... ok (0.030s)
2022-11-23T02:10:37.7466338Z   test_trace_checker_inplace_on_view (jit.test_tracer.TestTracer) ... ok (0.014s)
2022-11-23T02:10:37.7466543Z   test_trace_checker_memoization (jit.test_tracer.TestTracer) ... ok (0.010s)
2022-11-23T02:10:37.7466743Z   test_trace_checker_slice_lhs (jit.test_tracer.TestTracer) ... ok (0.020s)
2022-11-23T02:10:37.7466952Z   test_trace_checking_with_global_name (jit.test_tracer.TestTracer) ... ok (0.014s)
2022-11-23T02:10:37.7467827Z   test_trace_contiguous (jit.test_tracer.TestTracer) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T02:10:37.7467963Z   warnings.warn(message, UserWarning)
2022-11-23T02:10:37.7468074Z ok (0.015s)
2022-11-23T02:10:37.7468291Z   test_trace_contiguous_short_circuit (jit.test_tracer.TestTracer) ... ok (0.008s)
2022-11-23T02:10:37.7468471Z   test_trace_detach (jit.test_tracer.TestTracer) ... ok (0.010s)
2022-11-23T02:10:37.7468666Z   test_trace_detach_inplace (jit.test_tracer.TestTracer) ... ok (0.010s)
2022-11-23T02:10:37.7468887Z   test_trace_detach_inplace_redispatch (jit.test_tracer.TestTracer) ... ok (0.004s)
2022-11-23T02:10:37.7469087Z   test_trace_detach_redispatch (jit.test_tracer.TestTracer) ... ok (0.005s)
2022-11-23T02:10:37.7469278Z   test_trace_dict_input (jit.test_tracer.TestTracer) ... ok (0.019s)
2022-11-23T02:10:37.7469451Z   test_trace_dict_output (jit.test_tracer.TestTracer) ... ok (0.030s)
2022-11-23T02:10:37.7469638Z   test_trace_export_fns (jit.test_tracer.TestTracer) ... ok (0.035s)
2022-11-23T02:10:37.7469845Z   test_trace_export_fns_recursive (jit.test_tracer.TestTracer) ... ok (0.080s)
2022-11-23T02:10:37.7470045Z   test_trace_fork_join_and_module (jit.test_tracer.TestTracer) ... ok (0.055s)
2022-11-23T02:10:37.7470246Z   test_trace_full_dynamic_shape (jit.test_tracer.TestTracer) ... ok (0.014s)
2022-11-23T02:10:37.7470463Z   test_trace_func_argument_names_captured (jit.test_tracer.TestTracer) ... ok (0.009s)
2022-11-23T02:10:37.7470645Z   test_trace_index (jit.test_tracer.TestTracer) ... ok (0.010s)
2022-11-23T02:10:37.7470843Z   test_trace_index_constant (jit.test_tracer.TestTracer) ... ok (0.010s)
2022-11-23T02:10:37.7471025Z   test_trace_indexed_assignment (jit.test_tracer.TestTracer) ... ok (0.015s)
2022-11-23T02:10:37.7471222Z   test_trace_inline_shape (jit.test_tracer.TestTracer) ... ok (0.028s)
2022-11-23T02:10:37.7471411Z   test_trace_inverse (jit.test_tracer.TestTracer) ... ok (0.008s)
2022-11-23T02:10:37.7471623Z   test_trace_invert_module_hierarchy (jit.test_tracer.TestTracer) ... ok (0.033s)
2022-11-23T02:10:37.7471814Z   test_trace_legacy_ctor (jit.test_tracer.TestTracer) ... ok (0.018s)
2022-11-23T02:10:37.7472031Z   test_trace_module_argument_names_captured (jit.test_tracer.TestTracer) ... ok (0.058s)
2022-11-23T02:10:37.7472224Z   test_trace_modulelist (jit.test_tracer.TestTracer) ... ok (0.041s)
2022-11-23T02:10:37.7472477Z   test_trace_multi_output_function (jit.test_tracer.TestTracer) ... graph(%self : __torch__.jit.test_tracer.Bar,
2022-11-23T02:10:37.7472749Z       %x.1 : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu),
2022-11-23T02:10:37.7472930Z       %y.1 : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu)):
2022-11-23T02:10:37.7473260Z   %x : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu) = aten::relu(%x.1) # /var/lib/jenkins/workspace/test/jit/test_tracer.py:1429:0
2022-11-23T02:10:37.7473546Z   %y : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu) = aten::relu(%y.1) # /var/lib/jenkins/workspace/test/jit/test_tracer.py:1429:0
2022-11-23T02:10:37.7473949Z   %9 : (Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu)) = ^Foo[inplace=0, module="jit.test_tracer", Subgraph=<Graph>]()(%x, %y) # /var/lib/jenkins/workspace/test/jit/test_tracer.py:1430:0
2022-11-23T02:10:37.7474239Z   %10 : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), %11 : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu) = prim::TupleUnpack(%9)
2022-11-23T02:10:37.7474536Z   %12 : (Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu)) = prim::TupleConstruct(%10, %11)
2022-11-23T02:10:37.7474645Z   return (%12)
2022-11-23T02:10:37.7474679Z 
2022-11-23T02:10:37.7474785Z ok (0.013s)
2022-11-23T02:10:37.7474978Z   test_trace_namedtuple (jit.test_tracer.TestTracer) ... ok (0.010s)
2022-11-23T02:10:37.7475236Z   test_trace_nested_datatypes (jit.test_tracer.TestTracer) ... ok (0.018s)
2022-11-23T02:10:37.7475413Z   test_trace_nested_fn (jit.test_tracer.TestTracer) ... ok (0.029s)
2022-11-23T02:10:37.7475594Z   test_trace_numel (jit.test_tracer.TestTracer) ... ok (0.009s)
2022-11-23T02:10:37.7475792Z   test_trace_optioanl_dtype (jit.test_tracer.TestTracer) ... ok (0.014s)
2022-11-23T02:10:37.7475981Z   test_trace_optional (jit.test_tracer.TestTracer) ... ok (0.027s)
2022-11-23T02:10:37.7476213Z   test_trace_partial_func_argument_names_captured (jit.test_tracer.TestTracer) ... ok (0.010s)
2022-11-23T02:10:37.7476397Z   test_trace_random (jit.test_tracer.TestTracer) ... ok (0.006s)
2022-11-23T02:10:37.7476590Z   test_trace_records_names (jit.test_tracer.TestTracer) ... ok (0.018s)
2022-11-23T02:10:37.7476768Z   test_trace_save (jit.test_tracer.TestTracer) ... ok (0.013s)
2022-11-23T02:10:37.7476942Z   test_trace_save_load_copy (jit.test_tracer.TestTracer) ... ok (0.041s)
2022-11-23T02:10:37.7477137Z   test_trace_single_tuple (jit.test_tracer.TestTracer) ... ok (0.007s)
2022-11-23T02:10:37.7477317Z   test_trace_size (jit.test_tracer.TestTracer) ... ok (0.014s)
2022-11-23T02:10:37.7477508Z   test_trace_size_with_grad (jit.test_tracer.TestTracer) ... ok (0.015s)
2022-11-23T02:10:37.7477709Z   test_trace_skip_none_submodule (jit.test_tracer.TestTracer) ... ok (0.011s)
2022-11-23T02:10:37.7477891Z   test_trace_slice (jit.test_tracer.TestTracer) ... ok (0.076s)
2022-11-23T02:10:37.7478100Z   test_trace_slice_expr_complete_type (jit.test_tracer.TestTracer) ... ok (0.015s)
2022-11-23T02:10:37.7478292Z   test_trace_slice_full_dim (jit.test_tracer.TestTracer) ... ok (0.013s)
2022-11-23T02:10:37.7478490Z   test_trace_slice_setitem_dynamic_shape (jit.test_tracer.TestTracer) ... ok (0.014s)
2022-11-23T02:10:37.7478679Z   test_trace_slice_with_grad (jit.test_tracer.TestTracer) ... ok (0.080s)
2022-11-23T02:10:37.7478876Z   test_trace_tensor_factory (jit.test_tracer.TestTracer) ... ok (0.096s)
2022-11-23T02:10:37.7479059Z   test_trace_topk (jit.test_tracer.TestTracer) ... ok (0.016s)
2022-11-23T02:10:37.7479241Z   test_trace_tuple (jit.test_tracer.TestTracer) ... ok (0.018s)
2022-11-23T02:10:37.7479458Z   test_trace_variable_instantiation (jit.test_tracer.TestTracer) ... ok (0.010s)
2022-11-23T02:10:37.7479636Z   test_trace_warn (jit.test_tracer.TestTracer) ... ok (0.015s)
2022-11-23T02:10:37.7479854Z   test_trace_with_conditional_property (jit.test_tracer.TestTracer) ... ok (0.011s)
2022-11-23T02:10:37.7480049Z   test_trace_with_nested_tensor_list_output (jit.test_tracer.TestTracer) ... ok (0.005s)
2022-11-23T02:10:37.7480334Z   test_trace_with_number_list_output (jit.test_tracer.TestTracer) ... ok (0.004s)
2022-11-23T02:10:37.7480540Z   test_trace_with_tensor_list_output (jit.test_tracer.TestTracer) ... ok (0.027s)
2022-11-23T02:10:37.7480730Z   test_traced_module_cuda (jit.test_tracer.TestTracer) ... ok (0.460s)
2022-11-23T02:10:37.7480933Z   test_tracing_backward_hook_error (jit.test_tracer.TestTracer) ... ok (0.002s)
2022-11-23T02:10:37.7481124Z   test_tracing_hooks (jit.test_tracer.TestTracer) ... ok (0.079s)
2022-11-23T02:10:37.7481326Z   test_tracing_multiple_methods (jit.test_tracer.TestTracer) ... ok (0.217s)
2022-11-23T02:10:37.7481516Z   test_typeas_trace_check (jit.test_tracer.TestTracer) ... ok (0.009s)
2022-11-23T02:10:37.7481688Z   test_wrapped_number (jit.test_tracer.TestTracer) ... ok (0.012s)
2022-11-23T02:10:37.7481890Z   test_assign_python_attr (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7482249Z Assigning a new (python-only) attribute should not change type sharing ... ok (0.059s)
2022-11-23T02:10:37.7482451Z   test_basic (jit.test_type_sharing.TestTypeSharing) ... ok (0.011s)
2022-11-23T02:10:37.7482680Z   test_builtin_function_different (jit.test_type_sharing.TestTypeSharing) ... ok (0.013s)
2022-11-23T02:10:37.7482904Z   test_builtin_function_same (jit.test_type_sharing.TestTypeSharing) ... ok (0.010s)
2022-11-23T02:10:37.7483088Z   test_constants (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7483409Z Types should be shared for identical constant values, and different for different constant values ... ok (0.020s)
2022-11-23T02:10:37.7483593Z   test_diff_attr_values (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7483786Z Types should be shared even if attribute values differ ... ok (0.011s)
2022-11-23T02:10:37.7484001Z   test_failed_attribute_compilation (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7484224Z Attributes whose type cannot be inferred should fail cleanly with nice hints ... ok (0.005s)
2022-11-23T02:10:37.7484427Z   test_ignored_fns (jit.test_type_sharing.TestTypeSharing) ... ok (0.010s)
2022-11-23T02:10:37.7484611Z   test_linear (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7484777Z Simple example with a real nn Module ... ok (0.021s)
2022-11-23T02:10:37.7485000Z   test_loaded_modules_work (jit.test_type_sharing.TestTypeSharing) ... ok (0.031s)
2022-11-23T02:10:37.7485207Z   test_module_dict_same_type_different_name (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7485422Z We should be able to differentiate between two ModuleDict instances ... ok (0.057s)
2022-11-23T02:10:37.7485619Z   test_mutate_attr_value (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7485828Z Mutating the value of an attribute should not change type sharing ... ok (0.034s)
2022-11-23T02:10:37.7486025Z   test_param_vs_attribute (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7486345Z The same module with an `foo` as a parameter vs. attribute shouldn't ... ok (0.014s)
2022-11-23T02:10:37.7486574Z   test_python_function_attribute_different (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7486782Z Different functions passed in should lead to different types ... ok (0.021s)
2022-11-23T02:10:37.7486978Z   test_python_function_attribute_same (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7487162Z Same functions passed in should lead to same types ... ok (0.014s)
2022-11-23T02:10:37.7487369Z   test_same_but_different_classes (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7487583Z Even if everything about the module is the same, different originating ... ok (0.042s)
2022-11-23T02:10:37.7487812Z   test_script_function_attribute_different (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7488016Z Different functions passed in should lead to different types ... ok (0.021s)
2022-11-23T02:10:37.7488229Z   test_script_function_attribute_same (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7488416Z Same functions passed in should lead to same types ... ok (0.014s)
2022-11-23T02:10:37.7488720Z   test_script_module_containing_traced_module (jit.test_type_sharing.TestTypeSharing) ... ok (0.039s)
2022-11-23T02:10:37.7488909Z   test_submodules (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7489093Z If submodules differ, the types should differ. ... ok (0.077s)
2022-11-23T02:10:37.7489309Z   test_tracing_gives_different_types (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7489629Z Since we can't guarantee that methods are the same between different ... ok (0.023s)
2022-11-23T02:10:37.7489853Z   test_type_not_shared_ignored_attributes (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7490043Z Test that types are not shared if the exclusion of their ... ok (0.013s)
2022-11-23T02:10:37.7490259Z   test_type_shared_ignored_attributes (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7490426Z Test that types are shared if the exclusion of their ... ok (0.011s)
2022-11-23T02:10:37.7490633Z   test_type_sharing_define_in_init (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7490832Z Tests that types between instances of a ScriptModule ... ok (0.012s)
2022-11-23T02:10:37.7491038Z   test_type_sharing_disabled (jit.test_type_sharing.TestTypeSharing)
2022-11-23T02:10:37.7491202Z Test that type sharing can be disabled. ... ok (0.036s)
2022-11-23T02:10:37.7491431Z   test_annotate_outside_init (jit.test_types.TestTypesAndAnnotation) ... ok (0.028s)
2022-11-23T02:10:37.7491706Z   test_bad_types (jit.test_types.TestTypesAndAnnotation) ... ok (0.003s)
2022-11-23T02:10:37.7491917Z   test_ignore_with_types (jit.test_types.TestTypesAndAnnotation) ... ok (0.008s)
2022-11-23T02:10:37.7492145Z   test_ignoring_module_attributes (jit.test_types.TestTypesAndAnnotation)
2022-11-23T02:10:37.7492347Z Test that module attributes can be ignored. ... ok (0.012s)
2022-11-23T02:10:37.7492626Z   test_inferred_type_error_message (jit.test_types.TestTypesAndAnnotation) ... ok (0.004s)
2022-11-23T02:10:37.7492851Z   test_mismatched_annotation (jit.test_types.TestTypesAndAnnotation) ... ok (0.002s)
2022-11-23T02:10:37.7493125Z   test_optional_no_element_type_annotation (jit.test_types.TestTypesAndAnnotation)
2022-11-23T02:10:37.7493433Z Test that using an optional with no contained types produces an error. ... ok (0.004s)
2022-11-23T02:10:37.7493674Z   test_parser_bug (jit.test_types.TestTypesAndAnnotation) ... ok (0.001s)
2022-11-23T02:10:37.7493896Z   test_pep585_type (jit.test_types.TestTypesAndAnnotation) ... ok (0.015s)
2022-11-23T02:10:37.7494093Z   test_python_callable (jit.test_types.TestTypesAndAnnotation) ... ok (0.003s)
2022-11-23T02:10:37.7494302Z   test_reannotate (jit.test_types.TestTypesAndAnnotation) ... ok (0.003s)
2022-11-23T02:10:37.7494562Z   test_tuple_no_element_type_annotation (jit.test_types.TestTypesAndAnnotation)
2022-11-23T02:10:37.7494833Z Test that using a tuple with no contained types produces an error. ... ok (0.004s)
2022-11-23T02:10:37.7495051Z   test_type_annotate_py3 (jit.test_types.TestTypesAndAnnotation) ... ok (0.020s)
2022-11-23T02:10:37.7495277Z   test_types_as_values (jit.test_types.TestTypesAndAnnotation) ... ok (0.020s)
2022-11-23T02:10:37.7495551Z   test_unimported_type_resolution (jit.test_types.TestTypesAndAnnotation) ... ok (0.005s)
2022-11-23T02:10:37.7495767Z   test_bool_list_io (jit.test_typing.TestTyping) ... ok (0.006s)
2022-11-23T02:10:37.7495960Z   test_dict_comprehension (jit.test_typing.TestTyping) ... ok (0.010s)
2022-11-23T02:10:37.7496872Z   test_dict_comprehension_scope (jit.test_typing.TestTyping) ... ok (0.011s)
2022-11-23T02:10:37.7497107Z   test_dict_comprehension_with_type_annotation (jit.test_typing.TestTyping) ... ok (0.012s)
2022-11-23T02:10:37.7497294Z   test_dict_in_not_in (jit.test_typing.TestTyping) ... ok (0.041s)
2022-11-23T02:10:37.7497501Z   test_dict_invalid_annotations (jit.test_typing.TestTyping) ... ok (0.004s)
2022-11-23T02:10:37.7498349Z   test_dict_type_refinement_annotation_key_mismatch (jit.test_typing.TestTyping) ... [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[int, str]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement.
2022-11-23T02:10:37.7498695Z   File "/var/lib/jenkins/workspace/test/jit/test_typing.py", line 90
2022-11-23T02:10:37.7498802Z         def fn():
2022-11-23T02:10:37.7498920Z             l1 = [1, 2, "foo", 3]
2022-11-23T02:10:37.7499133Z                  ~~~~~~~~~~~~~~~ <--- HERE
2022-11-23T02:10:37.7499271Z             l2 = ["foo", "bar", "baz", "qux"]
2022-11-23T02:10:37.7499440Z             d: Dict[int, str] = {k : v for k, v in zip(l1, l2)}
2022-11-23T02:10:37.7499552Z  (function emitListLiteral)
2022-11-23T02:10:37.7499656Z ok (0.004s)
2022-11-23T02:10:37.7500215Z   test_dict_type_refinement_annotation_value_mismatch (jit.test_typing.TestTyping) ... [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[int, str]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement.
2022-11-23T02:10:37.7500418Z   File "/var/lib/jenkins/workspace/test/jit/test_typing.py", line 104
2022-11-23T02:10:37.7500525Z         def fn():
2022-11-23T02:10:37.7500657Z             l1 = ["foo", "bar", "baz", "qux"]
2022-11-23T02:10:37.7500772Z             l2 = [1, 2, "foo", 3]
2022-11-23T02:10:37.7501029Z                  ~~~~~~~~~~~~~~~ <--- HERE
2022-11-23T02:10:37.7501186Z             d: Dict[str, int] = {k : v for k, v in zip(l1, l2)}
2022-11-23T02:10:37.7501292Z             return d
2022-11-23T02:10:37.7501426Z  (function emitListLiteral)
2022-11-23T02:10:37.7501527Z ok (0.003s)
2022-11-23T02:10:37.7501712Z   test_for_in_dict (jit.test_typing.TestTyping) ... ok (0.017s)
2022-11-23T02:10:37.7501896Z   test_for_in_string (jit.test_typing.TestTyping) ... ok (0.027s)
2022-11-23T02:10:37.7502087Z   test_for_tuple_assign (jit.test_typing.TestTyping) ... ok (0.016s)
2022-11-23T02:10:37.7502280Z   test_for_tuple_unpack (jit.test_typing.TestTyping) ... ok (0.028s)
2022-11-23T02:10:37.7502437Z   test_list_io (jit.test_typing.TestTyping) ... ok (0.009s)
2022-11-23T02:10:37.7502624Z   test_list_iterables (jit.test_typing.TestTyping) ... ok (0.001s)
2022-11-23T02:10:37.7502803Z   test_list_sum (jit.test_typing.TestTyping) ... ok (0.021s)
2022-11-23T02:10:37.7503049Z   test_list_type_refinement_annotation_element_mismatch (jit.test_typing.TestTyping) ... ok (0.002s)
2022-11-23T02:10:37.7503242Z   test_list_unification (jit.test_typing.TestTyping) ... ok (0.014s)
2022-11-23T02:10:37.7503434Z   test_multiple_assign (jit.test_typing.TestTyping) ... ok (0.013s)
2022-11-23T02:10:37.7503635Z   test_namedtuple_good_error (jit.test_typing.TestTyping) ... ok (0.006s)
2022-11-23T02:10:37.7503803Z   test_namedtuple_py2 (jit.test_typing.TestTyping) ... ok (0.007s)
2022-11-23T02:10:37.7504000Z   test_namedtuple_redefine (jit.test_typing.TestTyping) ... ok (0.010s)
2022-11-23T02:10:37.7504180Z   test_nested_list (jit.test_typing.TestTyping) ... ok (0.008s)
2022-11-23T02:10:37.7504382Z   test_opt_opt_refinement (jit.test_typing.TestTyping) ... ok (0.006s)
2022-11-23T02:10:37.7504574Z   test_optional_conversion (jit.test_typing.TestTyping) ... ok (0.025s)
2022-11-23T02:10:37.7504770Z   test_optional_refinement (jit.test_typing.TestTyping) ... ok (0.006s)
2022-11-23T02:10:37.7504963Z   test_optional_tuple (jit.test_typing.TestTyping) ... ok (0.012s)
2022-11-23T02:10:37.7505163Z   test_singleton_tuple_unpack (jit.test_typing.TestTyping) ... ok (0.008s)
2022-11-23T02:10:37.7505329Z   test_sum_list_diff_elms (jit.test_typing.TestTyping) ... ok (0.010s)
2022-11-23T02:10:37.7505514Z   test_sum_list_empty (jit.test_typing.TestTyping) ... ok (0.010s)
2022-11-23T02:10:37.7505698Z   test_sum_list_literal (jit.test_typing.TestTyping) ... ok (0.009s)
2022-11-23T02:10:37.7505875Z   test_sum_list_one (jit.test_typing.TestTyping) ... ok (0.010s)
2022-11-23T02:10:37.7506066Z   test_sum_list_wrong_type (jit.test_typing.TestTyping) ... ok (0.002s)
2022-11-23T02:10:37.7506328Z   test_tuple_assignments (jit.test_typing.TestTyping) ... ok (0.039s)
2022-11-23T02:10:37.7506518Z   test_tuple_create_return (jit.test_typing.TestTyping) ... ok (0.010s)
2022-11-23T02:10:37.7506697Z   test_tuple_io (jit.test_typing.TestTyping) ... ok (0.008s)
2022-11-23T02:10:37.7506862Z   test_tuple_keyword (jit.test_typing.TestTyping) ... ok (0.008s)
2022-11-23T02:10:37.7507069Z   test_tuple_specialization (jit.test_typing.TestTyping) ... ok (0.009s)
2022-11-23T02:10:37.7507264Z   test_check_union_annotation (jit.test_union.TestUnion) ... ok (0.007s)
2022-11-23T02:10:37.7507481Z   test_union_T_None_is_equivalent_to_optional_T (jit.test_union.TestUnion) ... ok (0.020s)
2022-11-23T02:10:37.7507685Z   test_union_argument_order_is_ignored (jit.test_union.TestUnion) ... ok (0.008s)
2022-11-23T02:10:37.7507904Z   test_union_argument_order_is_ignored_container (jit.test_union.TestUnion) ... ok (0.008s)
2022-11-23T02:10:37.7508090Z   test_union_as_annotation (jit.test_union.TestUnion) ... ok (0.006s)
2022-11-23T02:10:37.7508310Z   test_union_as_annotation_in_typed_container (jit.test_union.TestUnion) ... ok (0.007s)
2022-11-23T02:10:37.7508483Z   test_union_as_annotation_py2 (jit.test_union.TestUnion) ... ok (0.006s)
2022-11-23T02:10:37.7508666Z   test_union_as_dict_key (jit.test_union.TestUnion) ... ok (0.010s)
2022-11-23T02:10:37.7508910Z   test_union_as_dict_value (jit.test_union.TestUnion) ... ok (0.009s)
2022-11-23T02:10:37.7509121Z   test_union_as_internal_tuple_type (jit.test_union.TestUnion) ... ok (0.007s)
2022-11-23T02:10:37.7509361Z   test_union_branching_does_not_autoinfer_undeclared_union (jit.test_union.TestUnion) ... ok (0.003s)
2022-11-23T02:10:37.7509599Z   test_union_branching_does_not_widen_existing_inferred_type (jit.test_union.TestUnion) ... ok (0.003s)
2022-11-23T02:10:37.7509838Z   test_union_branching_with_union_return_and_homogenous_types (jit.test_union.TestUnion) ... ok (0.011s)
2022-11-23T02:10:37.7510067Z   test_union_does_not_replace_existing_annotated_type (jit.test_union.TestUnion) ... ok (0.003s)
2022-11-23T02:10:37.7510331Z   test_union_does_not_replace_existing_annotated_type_empty_container (jit.test_union.TestUnion) ... ok (0.002s)
2022-11-23T02:10:37.7510549Z   test_union_does_not_replace_existing_annotated_type_union (jit.test_union.TestUnion) ... ok (0.003s)
2022-11-23T02:10:37.7510747Z   test_union_in_class_constructor (jit.test_union.TestUnion) ... ok (0.017s)
2022-11-23T02:10:37.7511577Z   test_union_memory_aliasing (jit.test_union.TestUnion) ... /opt/conda/lib/python3.10/site-packages/torch/_jit_internal.py:1282: UserWarning: The inner type of a container is lost when calling torch.jit.isinstance in eager mode. For example, List[int] would become list and therefore falsely return True for List[float] or List[str].
2022-11-23T02:10:37.7511701Z   warnings.warn(
2022-11-23T02:10:37.7511801Z ok (0.014s)
2022-11-23T02:10:37.7512020Z   test_union_module_with_union_class_variable (jit.test_union.TestUnion) ... ok (0.010s)
2022-11-23T02:10:37.7512243Z   test_union_module_with_union_instance_variable (jit.test_union.TestUnion) ... ok (0.019s)
2022-11-23T02:10:37.7512457Z   test_union_optional_of_union_is_flattened (jit.test_union.TestUnion) ... ok (0.010s)
2022-11-23T02:10:37.7512653Z   test_union_redundant_arguments_are_skipped (jit.test_union.TestUnion) ... ok (0.004s)
2022-11-23T02:10:37.7512892Z   test_union_redundant_arguments_are_skipped_container (jit.test_union.TestUnion) ... ok (0.005s)
2022-11-23T02:10:37.7513126Z   test_union_redundant_arguments_are_skipped_optional (jit.test_union.TestUnion) ... ok (0.005s)
2022-11-23T02:10:37.7513359Z   test_union_redundant_arguments_are_skipped_subtyping (jit.test_union.TestUnion) ... ok (0.005s)
2022-11-23T02:10:37.7513544Z   test_union_return_type (jit.test_union.TestUnion) ... ok (0.006s)
2022-11-23T02:10:37.7513757Z   test_union_schema_matching_on_internal_type (jit.test_union.TestUnion) ... ok (0.016s)
2022-11-23T02:10:37.7513988Z   test_union_serialization_preserves_type_annotations (jit.test_union.TestUnion) ... ok (0.013s)
2022-11-23T02:10:37.7514293Z   test_union_subclasses_larger_union (jit.test_union.TestUnion) ... ok (0.007s)
2022-11-23T02:10:37.7514498Z   test_union_subtractive_refinement (jit.test_union.TestUnion) ... ok (0.013s)
2022-11-23T02:10:37.7514700Z   test_union_subtractive_refinement_with_container (jit.test_union.TestUnion) ... ok (0.013s)
2022-11-23T02:10:37.7514896Z   test_union_type_refinement (jit.test_union.TestUnion) ... ok (0.010s)
2022-11-23T02:10:37.7515119Z   test_union_type_refinement_internal_declaration (jit.test_union.TestUnion) ... ok (0.010s)
2022-11-23T02:10:37.7515370Z   test_union_type_refinement_partial_static_refinement_tuple_rhs (jit.test_union.TestUnion) ... ok (0.013s)
2022-11-23T02:10:37.7515617Z   test_union_type_refinement_partial_static_refinement_union_rhs (jit.test_union.TestUnion) ... ok (0.014s)
2022-11-23T02:10:37.7515834Z   test_union_type_refinement_statically_false (jit.test_union.TestUnion) ... ok (0.005s)
2022-11-23T02:10:37.7516046Z   test_union_type_refinement_statically_true (jit.test_union.TestUnion) ... ok (0.006s)
2022-11-23T02:10:37.7516258Z   test_union_type_refinement_tuple_rhs (jit.test_union.TestUnion) ... ok (0.020s)
2022-11-23T02:10:37.7516526Z   test_union_type_refinement_tuple_rhs_noncontained_type (jit.test_union.TestUnion) ... ok (0.015s)
2022-11-23T02:10:37.7516740Z   test_union_type_refinement_tuple_rhs_union (jit.test_union.TestUnion) ... ok (0.006s)
2022-11-23T02:10:37.7517001Z   test_union_type_refinement_union_rhs (jit.test_union.TestUnion) ... ok (0.007s)
2022-11-23T02:10:37.7517217Z   test_union_variable_can_be_reassigned (jit.test_union.TestUnion) ... ok (0.017s)
2022-11-23T02:10:37.7517414Z   test_union_with_collections (jit.test_union.TestUnion) ... ok (0.013s)
2022-11-23T02:10:37.7517620Z   test_union_with_dict_assignment (jit.test_union.TestUnion) ... ok (0.053s)
2022-11-23T02:10:37.7517797Z   test_union_with_enum (jit.test_union.TestUnion) ... ok (0.022s)
2022-11-23T02:10:37.7518331Z   test_union_with_list_assignment (jit.test_union.TestUnion) ... [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[Tensor, int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement.
2022-11-23T02:10:37.7518461Z   File "<string>", line 3
2022-11-23T02:10:37.7518487Z 
2022-11-23T02:10:37.7518592Z def fn():
2022-11-23T02:10:37.7518788Z     x: Union[List[str], List[torch.Tensor]] = [torch.add(1, x) for x in [torch.arange(5), 1]]
2022-11-23T02:10:37.7519073Z                                                                         ~~~~~~~~~~~~~~~~~~~ <--- HERE
2022-11-23T02:10:37.7519247Z     if torch.jit.isinstance(x, List[torch.Tensor]):
2022-11-23T02:10:37.7519382Z         x.append(torch.tensor(3))
2022-11-23T02:10:37.7519513Z  (function emitListLiteral)
2022-11-23T02:10:37.7519974Z [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[Tensor, int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement.
2022-11-23T02:10:37.7520101Z   File "<string>", line 3
2022-11-23T02:10:37.7520120Z 
2022-11-23T02:10:37.7520221Z def fn():
2022-11-23T02:10:37.7520407Z     x: Union[List[torch.Tensor], int] = [torch.add(1, x) for x in [torch.arange(5), 1]]
2022-11-23T02:10:37.7520671Z                                                                   ~~~~~~~~~~~~~~~~~~~ <--- HERE
2022-11-23T02:10:37.7520845Z     if torch.jit.isinstance(x, List[torch.Tensor]):
2022-11-23T02:10:37.7520978Z         x.append(torch.tensor(3))
2022-11-23T02:10:37.7521110Z  (function emitListLiteral)
2022-11-23T02:10:37.7521210Z ok (0.041s)
2022-11-23T02:10:37.7521410Z   test_union_with_scalar_values (jit.test_union.TestUnion) ... ok (0.008s)
2022-11-23T02:10:37.7521599Z   test_unions_of_a_single_argument_vanish (jit.test_union.TestUnion) ... ok (0.004s)
2022-11-23T02:10:37.7521867Z   test_unions_of_unions_are_flattened (jit.test_union.TestUnion) ... ok (0.005s)
2022-11-23T02:10:37.7522111Z   test_factory_ops_requires_grad_fail (jit.test_unsupported_ops.TestUnsupportedOps) ... ok (0.005s)
2022-11-23T02:10:37.7522328Z   test_init_ops (jit.test_unsupported_ops.TestUnsupportedOps) ... ok (0.028s)
2022-11-23T02:10:37.7522552Z   test_add_value_to_version_map (jit.test_upgraders.TestUpgraders) ... ok (0.002s)
2022-11-23T02:10:37.7522769Z   test_aten_div_scalar_at_3 (jit.test_upgraders.TestUpgraders) ... ok (0.006s)
2022-11-23T02:10:37.7522978Z   test_aten_div_tensor_at_3 (jit.test_upgraders.TestUpgraders) ... ok (0.006s)
2022-11-23T02:10:37.7523195Z   test_aten_div_tensor_out_at_3 (jit.test_upgraders.TestUpgraders) ... ok (0.005s)
2022-11-23T02:10:37.7523372Z   test_aten_full_at_4 (jit.test_upgraders.TestUpgraders) ... ok (0.006s)
2022-11-23T02:10:37.7523590Z   test_aten_full_other_variants (jit.test_upgraders.TestUpgraders) ... ok (0.009s)
2022-11-23T02:10:37.7523791Z   test_aten_full_out_at_4 (jit.test_upgraders.TestUpgraders) ... ok (0.004s)
2022-11-23T02:10:37.7523997Z   test_aten_linspace (jit.test_upgraders.TestUpgraders) ... ok (0.004s)
2022-11-23T02:10:37.7524204Z   test_aten_linspace_out (jit.test_upgraders.TestUpgraders) ... ok (0.005s)
2022-11-23T02:10:37.7524408Z   test_aten_logspace (jit.test_upgraders.TestUpgraders) ... ok (0.004s)
2022-11-23T02:10:37.7524691Z   test_aten_logspace_out (jit.test_upgraders.TestUpgraders) ... ok (0.005s)
2022-11-23T02:10:37.7524924Z   test_aten_test_serialization (jit.test_upgraders.TestUpgraders) ... ok (0.009s)
2022-11-23T02:10:37.7525160Z   test_populated_test_upgrader_graph (jit.test_upgraders.TestUpgraders) ... ok (0.006s)
2022-11-23T02:10:37.7525362Z   test_populated_upgrader_graph (jit.test_upgraders.TestUpgraders) ... ok (0.006s)
2022-11-23T02:10:37.7525521Z   test_warn (jit.test_warn.TestWarn) ... ok (0.005s)
2022-11-23T02:10:37.7525733Z   test_warn_multiple_calls_multiple_warnings (jit.test_warn.TestWarn) ... ok (0.005s)
2022-11-23T02:10:37.7525950Z   test_warn_multiple_calls_same_func_diff_stack (jit.test_warn.TestWarn) ... ok (0.013s)
2022-11-23T02:10:37.7526130Z   test_warn_once_per_func (jit.test_warn.TestWarn) ... ok (0.011s)
2022-11-23T02:10:37.7526321Z   test_warn_once_per_func_in_loop (jit.test_warn.TestWarn) ... ok (0.013s)
2022-11-23T02:10:37.7526498Z   test_warn_only_once (jit.test_warn.TestWarn) ... ok (0.005s)
2022-11-23T02:10:37.7526671Z   test_warn_only_once_in_loop_func (jit.test_warn.TestWarn) ... ok (0.009s)
2022-11-23T02:10:37.7526825Z   test_with_as (jit.test_with.TestWith)
2022-11-23T02:10:37.7527154Z Check that with statements that use the 'as' keyword to bind expressions ... ok (0.128s)
2022-11-23T02:10:37.7527314Z   test_with_errors (jit.test_with.TestWith)
2022-11-23T02:10:37.7527650Z Check that errors related to with-statements are detected and reported correctly. ... ok (0.050s)
2022-11-23T02:10:37.7527809Z   test_with_exceptions (jit.test_with.TestWith)
2022-11-23T02:10:37.7528106Z Check that exceptions thrown in the bodies of with-statements are ... ok (0.048s)
2022-11-23T02:10:37.7528257Z   test_with_no_as (jit.test_with.TestWith)
2022-11-23T02:10:37.7528556Z Check that with statements that do not use the 'as' keyword to bind expressions ... ok (0.129s)
2022-11-23T02:10:37.7528710Z   test_with_no_grad (jit.test_with.TestWith)
2022-11-23T02:10:37.7528921Z Check that torch.no_grad() works. Most of these are adapted from ... ok (0.032s)
2022-11-23T02:10:37.7529094Z   test_with_record_function (jit.test_with.TestWith)
2022-11-23T02:10:37.7529609Z Check that torch.autograd.profiler.record_function context manager is ... STAGE:2022-11-23 02:10:35 4953:4953 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:10:37.7529956Z STAGE:2022-11-23 02:10:35 4953:4953 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:10:37.7530308Z STAGE:2022-11-23 02:10:35 4953:4953 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:10:37.7530412Z ok (0.042s)
2022-11-23T02:10:37.7530530Z 
2022-11-23T02:10:37.7530820Z ----------------------------------------------------------------------
2022-11-23T02:10:37.7530922Z Ran 2529 tests in 237.082s
2022-11-23T02:10:37.7530941Z 
2022-11-23T02:10:37.7531081Z OK (skipped=78, expected failures=2)
2022-11-23T02:10:37.7531100Z 
2022-11-23T02:10:37.7531228Z Generating XML reports...
2022-11-23T02:10:37.7531677Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_alias_analysis.TestAliasAnalysis-20221123020638.xml
2022-11-23T02:10:37.7532061Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_async.TestAsync-20221123020638.xml
2022-11-23T02:10:37.7532456Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_aten_pow.TestAtenPow-20221123020638.xml
2022-11-23T02:10:37.7532871Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_autodiff.TestAutodiffJit-20221123020638.xml
2022-11-23T02:10:37.7533367Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing-20221123020638.xml
2022-11-23T02:10:37.7533777Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_backends.TestBackends-20221123020638.xml
2022-11-23T02:10:37.7534203Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_backends.TestBackendsWithCompiler-20221123020638.xml
2022-11-23T02:10:37.7534646Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_batch_mm.TestBatchMM-20221123020638.xml
2022-11-23T02:10:37.7535063Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_builtins.TestBuiltins-20221123020638.xml
2022-11-23T02:10:37.7535434Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_cuda.TestCUDA-20221123020638.xml
2022-11-23T02:10:37.7535831Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_class_type.TestClassType-20221123020638.xml
2022-11-23T02:10:37.7536645Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_complex.TestComplex-20221123020638.xml
2022-11-23T02:10:37.7537184Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_custom_operators.TestCustomOperators-20221123020638.xml
2022-11-23T02:10:37.7537552Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_dce.TestDCE-20221123020638.xml
2022-11-23T02:10:37.7537980Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_dataclasses.TestDataclasses-20221123020638.xml
2022-11-23T02:10:37.7538397Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_device_analysis.TestDeviceAnalysis-20221123020638.xml
2022-11-23T02:10:37.7538772Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestDict-20221123020638.xml
2022-11-23T02:10:37.7539205Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_dtype_analysis.TestDtypeAnalysis-20221123020638.xml
2022-11-23T02:10:37.7539575Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_enum.TestEnum-20221123020638.xml
2022-11-23T02:10:37.7539981Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_freezing.TestFreezing-20221123020638.xml
2022-11-23T02:10:37.7540335Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestFrontend-20221123020638.xml
2022-11-23T02:10:37.7540783Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_freezing.TestFrozenOptimizations-20221123020638.xml
2022-11-23T02:10:37.7541229Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_functional_blocks.TestFunctionalBlocks-20221123020638.xml
2022-11-23T02:10:37.7541744Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_convert_activation.TestFunctionalToInplaceActivation-20221123020638.xml
2022-11-23T02:10:37.7542153Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_attr.TestGetDefaultAttr-20221123020638.xml
2022-11-23T02:10:37.7542826Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_graph_rewrite_passes.TestGraphRewritePasses-20221123020638.xml
2022-11-23T02:10:37.7543201Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_hash.TestHash-20221123020638.xml
2022-11-23T02:10:37.7543576Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_hooks.TestHooks-20221123020638.xml
2022-11-23T02:10:37.7543999Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_ignorable_args.TestIgnorableArgs-20221123020638.xml
2022-11-23T02:10:37.7544530Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_ignore_context_manager.TestIgnoreContextManager-20221123020638.xml
2022-11-23T02:10:37.7545044Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_convert_activation.TestInplaceToFunctionalActivation-20221123020638.xml
2022-11-23T02:10:37.7545463Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_isinstance.TestIsinstance-20221123020638.xml
2022-11-23T02:10:37.7545802Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestJit-20221123020638.xml
2022-11-23T02:10:37.7546195Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestJitGeneratedModule-20221123020638.xml
2022-11-23T02:10:37.7546671Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_jit_utils.TestJitUtils-20221123020638.xml
2022-11-23T02:10:37.7547042Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestList-20221123020638.xml
2022-11-23T02:10:37.7547435Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_logging.TestLogging-20221123020638.xml
2022-11-23T02:10:37.7547870Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_freezing.TestMKLDNNReinplacing-20221123020638.xml
2022-11-23T02:10:37.7548230Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_misc.TestMisc-20221123020638.xml
2022-11-23T02:10:37.7548672Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tracer.TestMixTracingScripting-20221123020638.xml
2022-11-23T02:10:37.7549054Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_models.TestModels-20221123020638.xml
2022-11-23T02:10:37.7549465Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_module_apis.TestModuleAPIs-20221123020638.xml
2022-11-23T02:10:37.7549918Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_module_containers.TestModuleContainers-20221123020638.xml
2022-11-23T02:10:37.7550360Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_module_interface.TestModuleInterface-20221123020638.xml
2022-11-23T02:10:37.7550729Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_modules.TestModules-20221123020638.xml
2022-11-23T02:10:37.7551136Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestNamedTuple-20221123020638.xml
2022-11-23T02:10:37.7551557Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_backend_nnapi.TestNnapiBackend-20221123020638.xml
2022-11-23T02:10:37.7552018Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_op_decompositions.TestOpDecompositions-20221123020638.xml
2022-11-23T02:10:37.7552580Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo-20221123020638.xml
2022-11-23T02:10:37.7553048Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_parametrization.TestParametrization-20221123020638.xml
2022-11-23T02:10:37.7553448Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_peephole.TestPeephole-20221123020638.xml
2022-11-23T02:10:37.7553828Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestProducerVersion-20221123020638.xml
2022-11-23T02:10:37.7554230Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_profiler.TestProfiler-20221123020638.xml
2022-11-23T02:10:37.7554746Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_python_bindings.TestPythonBindings-20221123020638.xml
2022-11-23T02:10:37.7555173Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_python_builtins.TestPythonBuiltinOP-20221123020638.xml
2022-11-23T02:10:37.7555572Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_python_ir.TestPythonIr-20221123020638.xml
2022-11-23T02:10:37.7556010Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_recursive_script.TestRecursiveScript-20221123020638.xml
2022-11-23T02:10:37.7556446Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_remove_mutation.TestRemoveMutation-20221123020638.xml
2022-11-23T02:10:37.7556834Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_save_load.TestSaveLoad-20221123020638.xml
2022-11-23T02:10:37.7557322Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_save_load_for_op_version.TestSaveLoadForOpVersion-20221123020638.xml
2022-11-23T02:10:37.7557668Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestScript-20221123020638.xml
2022-11-23T02:10:37.7558070Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestScriptDict-20221123020638.xml
2022-11-23T02:10:37.7558518Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestScriptList-20221123020638.xml
2022-11-23T02:10:37.7559083Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation-20221123020638.xml
2022-11-23T02:10:37.7559504Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_script_profile.TestScriptProfile-20221123020638.xml
2022-11-23T02:10:37.7559894Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_slice.TestSlice-20221123020638.xml
2022-11-23T02:10:37.7560285Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_sparse.TestSparse-20221123020638.xml
2022-11-23T02:10:37.7560738Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_string_formatting.TestStringFormatting-20221123020638.xml
2022-11-23T02:10:37.7561219Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis-20221123020638.xml
2022-11-23T02:10:37.7561654Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_builtins.TestTensorBuiltins-20221123020638.xml
2022-11-23T02:10:37.7562106Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tensor_creation_ops.TestTensorCreationOps-20221123020638.xml
2022-11-23T02:10:37.7562536Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tensor_methods.TestTensorMethods-20221123020638.xml
2022-11-23T02:10:37.7562945Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_torchbind.TestTorchbind-20221123020638.xml
2022-11-23T02:10:37.7563347Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tracer.TestTracer-20221123020638.xml
2022-11-23T02:10:37.7563743Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_type_sharing.TestTypeSharing-20221123020638.xml
2022-11-23T02:10:37.7564177Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_types.TestTypesAndAnnotation-20221123020638.xml
2022-11-23T02:10:37.7564575Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_typing.TestTyping-20221123020638.xml
2022-11-23T02:10:37.7564956Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_union.TestUnion-20221123020638.xml
2022-11-23T02:10:37.7565390Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_unsupported_ops.TestUnsupportedOps-20221123020638.xml
2022-11-23T02:10:37.7565803Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_upgraders.TestUpgraders-20221123020638.xml
2022-11-23T02:10:37.7566257Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_warn.TestWarn-20221123020638.xml
2022-11-23T02:10:37.7566633Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_with.TestWith-20221123020638.xml
2022-11-23T02:10:37.7567066Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_data_parallel.TestDataParallel-20221123020638.xml
2022-11-23T02:10:37.7567479Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_save_load.TestSaveLoadFlatbuffer-20221123020638.xml
2022-11-23T02:10:37.7567528Z 
2022-11-23T02:10:37.7568109Z ##[endgroup]
2022-11-23T02:10:37.7568467Z FINISHED PRINTING LOG FILE of test_jit (/var/lib/jenkins/workspace/test/test-reports/test_jit_k8zrrgmg)
2022-11-23T02:10:37.7568488Z 
2022-11-23T02:10:40.9758047Z Ignoring disabled issues:  []
2022-11-23T02:10:41.0131562Z Running nn/test_embedding ... [2022-11-23 02:10:41.012355]
2022-11-23T02:10:41.0132885Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_embedding.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:10:41.012807]
2022-11-23T02:11:02.6486481Z 
2022-11-23T02:11:02.6487145Z Expand the folded group to see the log file of nn/test_embedding
2022-11-23T02:11:02.6492363Z ##[group]PRINTING LOG FILE of nn/test_embedding (/var/lib/jenkins/workspace/test/test-reports/nn-test_embedding_03lx7gi8)
2022-11-23T02:11:02.6492893Z 
2022-11-23T02:11:02.6493001Z Running tests...
2022-11-23T02:11:02.6493593Z ----------------------------------------------------------------------
2022-11-23T02:11:02.6494122Z Test results will be stored in test-reports/python-unittest/nn.test_embedding
2022-11-23T02:11:02.6494553Z   test_embedding_bag_from_pretrained (__main__.TestEmbeddingNN) ... ok (0.004s)
2022-11-23T02:11:02.6495005Z   test_embedding_bag_from_pretrained_padding_idx (__main__.TestEmbeddingNN) ... ok (0.002s)
2022-11-23T02:11:02.6495854Z   test_embedding_bag_functional (__main__.TestEmbeddingNN) ... ok (0.003s)
2022-11-23T02:11:02.6506889Z   test_embedding_bag_padding_idx_error (__main__.TestEmbeddingNN) ... ok (0.017s)
2022-11-23T02:11:02.6507972Z   test_embedding_from_pretrained_float32 (__main__.TestEmbeddingNN) ... ok (0.002s)
2022-11-23T02:11:02.6508849Z   test_embedding_from_pretrained_float64 (__main__.TestEmbeddingNN) ... ok (0.002s)
2022-11-23T02:11:02.6509640Z   test_embedding_from_pretrained_int16 (__main__.TestEmbeddingNN) ... ok (0.002s)
2022-11-23T02:11:02.6510369Z   test_embedding_from_pretrained_int32 (__main__.TestEmbeddingNN) ... ok (0.002s)
2022-11-23T02:11:02.6511124Z   test_embedding_from_pretrained_int64 (__main__.TestEmbeddingNN) ... ok (0.002s)
2022-11-23T02:11:02.6511862Z   test_embedding_from_pretrained_int8 (__main__.TestEmbeddingNN) ... ok (0.002s)
2022-11-23T02:11:02.6512635Z   test_embedding_from_pretrained_options (__main__.TestEmbeddingNN) ... ok (0.002s)
2022-11-23T02:11:02.6513366Z   test_embedding_from_pretrained_padding_idx (__main__.TestEmbeddingNN) ... ok (0.002s)
2022-11-23T02:11:02.6513825Z   test_embedding_from_pretrained_uint8 (__main__.TestEmbeddingNN) ... ok (0.002s)
2022-11-23T02:11:02.6514230Z   test_embedding_functional (__main__.TestEmbeddingNN) ... ok (0.003s)
2022-11-23T02:11:02.6514579Z   test_embedding_max_norm (__main__.TestEmbeddingNN) ... ok (0.002s)
2022-11-23T02:11:02.6514989Z   test_embedding_max_norm_unsorted_repeating_indices (__main__.TestEmbeddingNN) ... ok (0.008s)
2022-11-23T02:11:02.6515389Z   test_embedding_sparse_basic (__main__.TestEmbeddingNN) ... ok (0.003s)
2022-11-23T02:11:02.6515778Z   test_embedding_sparse_empty_tensor (__main__.TestEmbeddingNN) ... ok (0.003s)
2022-11-23T02:11:02.6516240Z   test_embeddingbag_from_pretrained (__main__.TestEmbeddingNN) ... ok (0.002s)
2022-11-23T02:11:02.6516621Z   test_embeddingbag_from_pretrained_options (__main__.TestEmbeddingNN) ... ok (0.003s)
2022-11-23T02:11:02.6517049Z   test_move_sparse_half_embedding (__main__.TestEmbeddingNN) ... ok (0.003s)
2022-11-23T02:11:02.6517852Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cuda_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:11:02.6518570Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cuda_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:11:02.6519055Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cuda_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:11:02.6519757Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cuda_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:11:02.6520206Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cuda_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:11:02.6520861Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cuda_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:11:02.6521397Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cuda_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:11:02.6522049Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cuda_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:11:02.6522670Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cuda_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:11:02.6523377Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cuda_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:11:02.6523861Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cuda_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:11:02.6524638Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cuda_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:11:02.6525090Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cuda_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.064s)
2022-11-23T02:11:02.6525761Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cuda_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.062s)
2022-11-23T02:11:02.6526274Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cuda_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.060s)
2022-11-23T02:11:02.6526970Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cuda_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.063s)
2022-11-23T02:11:02.6527435Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cuda_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.062s)
2022-11-23T02:11:02.6528018Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cuda_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.062s)
2022-11-23T02:11:02.6528603Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cuda_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.063s)
2022-11-23T02:11:02.6529205Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cuda_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.063s)
2022-11-23T02:11:02.6529775Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cuda_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.061s)
2022-11-23T02:11:02.6530367Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cuda_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.062s)
2022-11-23T02:11:02.6530955Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cuda_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.061s)
2022-11-23T02:11:02.6531534Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cuda_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.060s)
2022-11-23T02:11:02.6532145Z   test_EmbeddingBag_per_sample_weights_and_no_offsets_cuda_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: Temporarily disabled. See t54369166 (0.003s)
2022-11-23T02:11:02.6533036Z   test_EmbeddingBag_per_sample_weights_and_no_offsets_cuda_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: Temporarily disabled. See t54369166 (0.003s)
2022-11-23T02:11:02.6533585Z   test_EmbeddingBag_per_sample_weights_and_no_offsets_cuda_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: Temporarily disabled. See t54369166 (0.003s)
2022-11-23T02:11:02.6534310Z   test_EmbeddingBag_per_sample_weights_and_no_offsets_cuda_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: Temporarily disabled. See t54369166 (0.003s)
2022-11-23T02:11:02.6534895Z   test_EmbeddingBag_per_sample_weights_and_no_offsets_cuda_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: Temporarily disabled. See t54369166 (0.003s)
2022-11-23T02:11:02.6535532Z   test_EmbeddingBag_per_sample_weights_and_no_offsets_cuda_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: Temporarily disabled. See t54369166 (0.003s)
2022-11-23T02:11:02.6536581Z   test_EmbeddingBag_per_sample_weights_and_offsets_cuda_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:11:02.6537105Z   test_EmbeddingBag_per_sample_weights_and_offsets_cuda_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T02:11:02.6537783Z   test_EmbeddingBag_per_sample_weights_and_offsets_cuda_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:11:02.6538358Z   test_EmbeddingBag_per_sample_weights_and_offsets_cuda_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T02:11:02.6538940Z   test_EmbeddingBag_per_sample_weights_and_offsets_cuda_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:11:02.6539517Z   test_EmbeddingBag_per_sample_weights_and_offsets_cuda_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:11:02.6540096Z   test_EmbeddingBag_per_sample_weights_and_offsets_cuda_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:11:02.6540657Z   test_EmbeddingBag_per_sample_weights_and_offsets_cuda_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T02:11:02.6541384Z   test_EmbeddingBag_per_sample_weights_and_offsets_cuda_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:11:02.6541868Z   test_EmbeddingBag_per_sample_weights_and_offsets_cuda_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:11:02.6542441Z   test_EmbeddingBag_per_sample_weights_and_offsets_cuda_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:11:02.6542995Z   test_EmbeddingBag_per_sample_weights_and_offsets_cuda_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:11:02.6543572Z   test_EmbeddingBag_per_sample_weights_failures_cuda_int32_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T02:11:02.6544140Z   test_EmbeddingBag_per_sample_weights_failures_cuda_int32_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T02:11:02.6544697Z   test_EmbeddingBag_per_sample_weights_failures_cuda_int64_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T02:11:02.6545250Z   test_EmbeddingBag_per_sample_weights_failures_cuda_int64_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T02:11:02.6545756Z   test_embedding_backward_cuda_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T02:11:02.6546308Z   test_embedding_backward_cuda_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T02:11:02.6546765Z   test_embedding_bag_1D_padding_idx_cuda_bfloat16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (3.728s)
2022-11-23T02:11:02.6547268Z   test_embedding_bag_1D_padding_idx_cuda_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (4.839s)
2022-11-23T02:11:02.6548049Z   test_embedding_bag_2D_padding_idx_cuda_bfloat16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.177s)
2022-11-23T02:11:02.6548704Z   test_embedding_bag_2D_padding_idx_cuda_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.221s)
2022-11-23T02:11:02.6549326Z   test_embedding_bag_bfloat16_cuda_int32_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.170s)
2022-11-23T02:11:02.6549899Z   test_embedding_bag_bfloat16_cuda_int32_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.168s)
2022-11-23T02:11:02.6550348Z   test_embedding_bag_bfloat16_cuda_int64_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.164s)
2022-11-23T02:11:02.6550851Z   test_embedding_bag_bfloat16_cuda_int64_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.163s)
2022-11-23T02:11:02.6551341Z   test_embedding_bag_device_cuda_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.333s)
2022-11-23T02:11:02.6551876Z   test_embedding_bag_device_cuda_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.405s)
2022-11-23T02:11:02.6552426Z   test_embedding_bag_device_cuda_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.385s)
2022-11-23T02:11:02.6552906Z   test_embedding_bag_device_cuda_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.335s)
2022-11-23T02:11:02.6553597Z   test_embedding_bag_device_cuda_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.409s)
2022-11-23T02:11:02.6554016Z   test_embedding_bag_device_cuda_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.384s)
2022-11-23T02:11:02.6554530Z   test_embedding_bag_device_cuda_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.332s)
2022-11-23T02:11:02.6555158Z   test_embedding_bag_device_cuda_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.409s)
2022-11-23T02:11:02.6555534Z   test_embedding_bag_device_cuda_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.385s)
2022-11-23T02:11:02.6556055Z   test_embedding_bag_device_cuda_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.334s)
2022-11-23T02:11:02.6556571Z   test_embedding_bag_device_cuda_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.414s)
2022-11-23T02:11:02.6557074Z   test_embedding_bag_device_cuda_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.386s)
2022-11-23T02:11:02.6557595Z   test_embedding_bag_empty_input_cuda_int32_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T02:11:02.6558112Z   test_embedding_bag_empty_input_cuda_int32_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T02:11:02.6558629Z   test_embedding_bag_empty_input_cuda_int64_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T02:11:02.6559119Z   test_embedding_bag_empty_input_cuda_int64_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T02:11:02.6559617Z   test_embedding_bag_half_cuda_int32_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.082s)
2022-11-23T02:11:02.6560117Z   test_embedding_bag_half_cuda_int32_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.083s)
2022-11-23T02:11:02.6560620Z   test_embedding_bag_half_cuda_int64_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.081s)
2022-11-23T02:11:02.6561103Z   test_embedding_bag_half_cuda_int64_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.081s)
2022-11-23T02:11:02.6561643Z   test_embedding_bag_non_contiguous_weight_cuda_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T02:11:02.6562207Z   test_embedding_bag_non_contiguous_weight_cuda_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T02:11:02.6562763Z   test_embedding_bag_non_contiguous_weight_cuda_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T02:11:02.6563398Z   test_embedding_bag_non_contiguous_weight_cuda_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T02:11:02.6563954Z   test_embedding_bag_non_contiguous_weight_cuda_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T02:11:02.6564522Z   test_embedding_bag_non_contiguous_weight_cuda_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T02:11:02.6565069Z   test_embedding_bag_non_contiguous_weight_cuda_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T02:11:02.6565598Z   test_embedding_bag_non_contiguous_weight_cuda_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T02:11:02.6566155Z   test_embedding_bag_non_contiguous_weight_cuda_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T02:11:02.6566709Z   test_embedding_bag_non_contiguous_weight_cuda_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T02:11:02.6567257Z   test_embedding_bag_non_contiguous_weight_cuda_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T02:11:02.6567773Z   test_embedding_bag_non_contiguous_weight_cuda_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T02:11:02.6568825Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cuda_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6569688Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cuda_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6570534Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cuda_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6571354Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cuda_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6572206Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cuda_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6573076Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cuda_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6573929Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cuda_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.003s)
2022-11-23T02:11:02.6574793Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cuda_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6575640Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cuda_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6577004Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cuda_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6577847Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cuda_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6578687Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cuda_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6579531Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_max_cuda_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6580587Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_max_cuda_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6581441Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_max_cuda_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6582299Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_max_cuda_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6583156Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_mean_cuda_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6583999Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_mean_cuda_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6584863Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_mean_cuda_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.003s)
2022-11-23T02:11:02.6585813Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_mean_cuda_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6586680Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_sum_cuda_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6587537Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_sum_cuda_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6588377Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_sum_cuda_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.003s)
2022-11-23T02:11:02.6589246Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_sum_cuda_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... skip: no out-of-bounds check on CUDA for perf. (0.002s)
2022-11-23T02:11:02.6589842Z   test_embedding_dense_grad_cuda (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.500s)
2022-11-23T02:11:02.6590344Z   test_embedding_max_norm_backward_cuda_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T02:11:02.6590840Z   test_embedding_max_norm_backward_cuda_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T02:11:02.6591347Z   test_embedding_max_norm_backward_cuda_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T02:11:02.6591858Z   test_embedding_max_norm_device_cuda_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T02:11:02.6592371Z   test_embedding_max_norm_device_cuda_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T02:11:02.6592916Z   test_embedding_max_norm_device_cuda_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T02:11:02.6593417Z   test_embedding_max_norm_fwd_AD_cuda_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.117s)
2022-11-23T02:11:02.6593917Z   test_embedding_max_norm_fwd_AD_cuda_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T02:11:02.6594422Z   test_embedding_max_norm_fwd_AD_cuda_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T02:11:02.6594912Z   test_embedding_padding_idx_cuda_float16 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.029s)
2022-11-23T02:11:02.6595414Z   test_embedding_padding_idx_cuda_float32 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.029s)
2022-11-23T02:11:02.6595925Z   test_embedding_padding_idx_cuda_float64 (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.028s)
2022-11-23T02:11:02.6596555Z   test_embedding_scalar_weight_error_cuda (__main__.TestEmbeddingNNDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T02:11:02.6596847Z 
2022-11-23T02:11:02.6597142Z ----------------------------------------------------------------------
2022-11-23T02:11:02.6597484Z Ran 147 tests in 16.527s
2022-11-23T02:11:02.6597652Z 
2022-11-23T02:11:02.6597763Z OK (skipped=30)
2022-11-23T02:11:02.6597901Z 
2022-11-23T02:11:02.6598042Z Generating XML reports...
2022-11-23T02:11:02.6598613Z Generated XML report: test-reports/python-unittest/nn.test_embedding/TEST-TestEmbeddingNN-20221123021045.xml
2022-11-23T02:11:02.6599362Z Generated XML report: test-reports/python-unittest/nn.test_embedding/TEST-TestEmbeddingNNDeviceTypeCUDA-20221123021045.xml
2022-11-23T02:11:02.6599718Z 
2022-11-23T02:11:02.6603832Z ##[endgroup]
2022-11-23T02:11:02.6604842Z FINISHED PRINTING LOG FILE of nn/test_embedding (/var/lib/jenkins/workspace/test/test-reports/nn-test_embedding_03lx7gi8)
2022-11-23T02:11:02.6605313Z 
2022-11-23T02:11:05.9998382Z Ignoring disabled issues:  []
2022-11-23T02:11:06.0370747Z Running dynamo/test_no_fake_tensors ... [2022-11-23 02:11:06.036385]
2022-11-23T02:11:06.0372336Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_no_fake_tensors.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:11:06.036868]
2022-11-23T02:11:25.0892592Z 
2022-11-23T02:11:25.0894513Z Expand the folded group to see the log file of dynamo/test_no_fake_tensors
2022-11-23T02:11:25.0896560Z ##[group]PRINTING LOG FILE of dynamo/test_no_fake_tensors (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_no_fake_tensors_k_3tlyje)
2022-11-23T02:11:25.0897168Z 
2022-11-23T02:11:25.0897320Z Running tests...
2022-11-23T02:11:25.0898211Z ----------------------------------------------------------------------
2022-11-23T02:11:25.0899142Z Test results will be stored in test-reports/python-unittest/dynamo.test_no_fake_tensors
2022-11-23T02:11:25.0899981Z   test_T_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (2.097s)
2022-11-23T02:11:25.0901377Z   test_add_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.0903765Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0904443Z ok (0.010s)
2022-11-23T02:11:25.0905126Z   test_build_list_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.0906065Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T02:11:25.0906529Z ok (0.020s)
2022-11-23T02:11:25.0907836Z   test_chunks1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.0908783Z ok (0.014s)
2022-11-23T02:11:25.0910215Z   test_const_tuple_add1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.0911296Z ok (0.013s)
2022-11-23T02:11:25.0912660Z   test_const_tuple_add2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.0913604Z ok (0.013s)
2022-11-23T02:11:25.0915096Z   test_constant1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.0916030Z ok (0.012s)
2022-11-23T02:11:25.0917471Z   test_constant2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.0918407Z ok (0.012s)
2022-11-23T02:11:25.0920229Z   test_constant3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0921220Z ok (0.010s)
2022-11-23T02:11:25.0922626Z   test_constant4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0923629Z ok (0.010s)
2022-11-23T02:11:25.0925030Z   test_default_dict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.0925985Z ok (0.016s)
2022-11-23T02:11:25.0927340Z   test_del_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.0928299Z ok (0.011s)
2022-11-23T02:11:25.0929763Z   test_device_constant_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.0931485Z ok (0.011s)
2022-11-23T02:11:25.0933105Z   test_device_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0934049Z ok (0.010s)
2022-11-23T02:11:25.0935447Z   test_dict_copy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0936819Z ok (0.010s)
2022-11-23T02:11:25.0938095Z   test_dict_ops_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T02:11:25.0939127Z ok (0.021s)
2022-11-23T02:11:25.0940564Z   test_dict_param_keys_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0941561Z ok (0.011s)
2022-11-23T02:11:25.0942969Z   test_dtype_compare_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.0943959Z ok (0.013s)
2022-11-23T02:11:25.0945328Z   test_dtype_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0946281Z ok (0.010s)
2022-11-23T02:11:25.0947622Z   test_finfo_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0948603Z ok (0.013s)
2022-11-23T02:11:25.0949974Z   test_float_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0950941Z ok (0.010s)
2022-11-23T02:11:25.0952362Z   test_fn_with_self_set_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.0953346Z ok (0.016s)
2022-11-23T02:11:25.0954769Z   test_fstrings1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0955734Z ok (0.011s)
2022-11-23T02:11:25.0957140Z   test_fstrings2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0958584Z ok (0.011s)
2022-11-23T02:11:25.0959974Z   test_fstrings3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0960914Z ok (0.011s)
2022-11-23T02:11:25.0961803Z   test_funcdef_closure_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.0963052Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)]
2022-11-23T02:11:25.0963695Z ok (0.021s)
2022-11-23T02:11:25.0965077Z   test_globalfn_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0966062Z ok (0.010s)
2022-11-23T02:11:25.0967477Z   test_globalmodule_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0968454Z ok (0.011s)
2022-11-23T02:11:25.0969862Z   test_globalvar_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.0970843Z ok (0.011s)
2022-11-23T02:11:25.0972454Z   test_import1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.0973431Z ok (0.012s)
2022-11-23T02:11:25.0974822Z   test_indirect1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0975791Z ok (0.011s)
2022-11-23T02:11:25.0977604Z   test_indirect2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0978621Z ok (0.010s)
2022-11-23T02:11:25.0980017Z   test_indirect3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0980980Z ok (0.011s)
2022-11-23T02:11:25.0981870Z   test_inline_jit_annotations_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.0983115Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.0983769Z ok (0.014s)
2022-11-23T02:11:25.0985149Z   test_inline_softmax_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.0986142Z ok (0.012s)
2022-11-23T02:11:25.0987037Z   test_inline_with_default_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.0988287Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.0988917Z ok (0.013s)
2022-11-23T02:11:25.0989782Z   test_inner_function_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.0991006Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0991637Z ok (0.011s)
2022-11-23T02:11:25.0993114Z   test_is_contiguous_memory_format_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0994133Z ok (0.011s)
2022-11-23T02:11:25.0995533Z   test_is_fx_tracing_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0996957Z ok (0.011s)
2022-11-23T02:11:25.0998384Z   test_is_in_onnx_export_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.0999370Z ok (0.011s)
2022-11-23T02:11:25.1000781Z   test_is_not_null_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1001721Z ok (0.010s)
2022-11-23T02:11:25.1003117Z   test_is_quantized_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1004105Z ok (0.010s)
2022-11-23T02:11:25.1005501Z   test_is_sparse_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1006450Z ok (0.009s)
2022-11-23T02:11:25.1007872Z   test_islice_chain_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T02:11:25.1008879Z ok (0.018s)
2022-11-23T02:11:25.1010643Z   test_jit_annotate_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1011689Z ok (0.012s)
2022-11-23T02:11:25.1013156Z   test_len_constant_dict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1014158Z ok (0.010s)
2022-11-23T02:11:25.1015550Z   test_len_constant_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1016984Z ok (0.011s)
2022-11-23T02:11:25.1018462Z   test_len_constant_misc_iterables_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1019493Z ok (0.011s)
2022-11-23T02:11:25.1020871Z   test_len_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1021639Z ok (0.010s)
2022-11-23T02:11:25.1022642Z   test_list_add_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1023404Z ok (0.011s)
2022-11-23T02:11:25.1024463Z   test_list_clear_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1025230Z ok (0.013s)
2022-11-23T02:11:25.1026337Z   test_list_convert_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1027052Z ok (0.014s)
2022-11-23T02:11:25.1028163Z   test_list_reversed_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T02:11:25.1028981Z ok (0.014s)
2022-11-23T02:11:25.1030109Z   test_list_slice_assignment_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1030833Z ok (0.011s)
2022-11-23T02:11:25.1031875Z   test_list_truth_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1032947Z ok (0.010s)
2022-11-23T02:11:25.1033980Z   test_listarg1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1034720Z ok (0.011s)
2022-11-23T02:11:25.1035797Z   test_listarg2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1036510Z ok (0.010s)
2022-11-23T02:11:25.1037540Z   test_listarg3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1038273Z ok (0.011s)
2022-11-23T02:11:25.1039431Z   test_listarg4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1040174Z ok (0.010s)
2022-11-23T02:11:25.1041240Z   test_listarg5_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1042160Z ok (0.011s)
2022-11-23T02:11:25.1043281Z   test_load_global_bool_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1044027Z ok (0.010s)
2022-11-23T02:11:25.1044649Z   test_map_sum_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1045558Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T02:11:25.1046063Z ok (0.020s)
2022-11-23T02:11:25.1046697Z   test_methodcall1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1047610Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1048103Z ok (0.013s)
2022-11-23T02:11:25.1048740Z   test_methodcall2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1049666Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1050145Z ok (0.013s)
2022-11-23T02:11:25.1050763Z   test_methodcall3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1051629Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1052107Z ok (0.012s)
2022-11-23T02:11:25.1053129Z   test_min_max_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)]
2022-11-23T02:11:25.1053835Z ok (0.019s)
2022-11-23T02:11:25.1054888Z   test_module_constant_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1055626Z ok (0.015s)
2022-11-23T02:11:25.1057153Z   test_ndim_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1057866Z ok (0.010s)
2022-11-23T02:11:25.1058909Z   test_pop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1059629Z ok (0.015s)
2022-11-23T02:11:25.1060658Z   test_reduce_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1061637Z ok (0.014s)
2022-11-23T02:11:25.1062658Z   test_return_dict2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1063354Z ok (0.013s)
2022-11-23T02:11:25.1064373Z   test_return_dict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1065066Z ok (0.012s)
2022-11-23T02:11:25.1066089Z   test_return_tuple1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1066886Z ok (0.013s)
2022-11-23T02:11:25.1067920Z   test_return_tuple2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1068645Z ok (0.010s)
2022-11-23T02:11:25.1069732Z   test_shape1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1070466Z ok (0.010s)
2022-11-23T02:11:25.1071632Z   test_shape2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1072335Z ok (0.010s)
2022-11-23T02:11:25.1073376Z   test_slice1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1074046Z ok (0.009s)
2022-11-23T02:11:25.1075063Z   test_slice2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1075779Z ok (0.010s)
2022-11-23T02:11:25.1076811Z   test_slice3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1077527Z ok (0.009s)
2022-11-23T02:11:25.1078599Z   test_slice4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1079298Z ok (0.009s)
2022-11-23T02:11:25.1080276Z   test_slice5_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1080966Z ok (0.009s)
2022-11-23T02:11:25.1081999Z   test_slice6_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1082728Z ok (0.012s)
2022-11-23T02:11:25.1083795Z   test_startswith_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1084550Z ok (0.012s)
2022-11-23T02:11:25.1085606Z   test_tensor_len_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1086355Z ok (0.012s)
2022-11-23T02:11:25.1087445Z   test_tensor_new_with_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1088197Z ok (0.012s)
2022-11-23T02:11:25.1089290Z   test_tensor_new_with_size_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1090307Z ok (0.011s)
2022-11-23T02:11:25.1091466Z   test_transpose_for_scores_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1092245Z ok (0.012s)
2022-11-23T02:11:25.1093290Z   test_tuple1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1094000Z ok (0.010s)
2022-11-23T02:11:25.1095043Z   test_tuple2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1095774Z ok (0.010s)
2022-11-23T02:11:25.1097433Z   test_tuple_contains_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1098206Z ok (0.011s)
2022-11-23T02:11:25.1099459Z   test_tuple_iadd_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1100259Z ok (0.012s)
2022-11-23T02:11:25.1101323Z   test_unpack1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1102032Z ok (0.011s)
2022-11-23T02:11:25.1103147Z   test_unpack2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1103895Z ok (0.012s)
2022-11-23T02:11:25.1104930Z   test_unpack3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1105673Z ok (0.011s)
2022-11-23T02:11:25.1106760Z   test_unpack_ex1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T02:11:25.1107495Z ok (0.013s)
2022-11-23T02:11:25.1108634Z   test_unpack_ex2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T02:11:25.1109367Z ok (0.013s)
2022-11-23T02:11:25.1110411Z   test_unpack_ex3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T02:11:25.1111125Z ok (0.013s)
2022-11-23T02:11:25.1112165Z   test_viamethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1112920Z ok (0.010s)
2022-11-23T02:11:25.1113984Z   test_viatorch_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1114695Z ok (0.010s)
2022-11-23T02:11:25.1115602Z   test_allow_in_graph_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1116530Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T02:11:25.1117038Z ok (0.013s)
2022-11-23T02:11:25.1118066Z   test_autocast_cpu_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T02:11:25.1119430Z ok (0.018s)
2022-11-23T02:11:25.1120645Z   test_autocast_device_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T02:11:25.1121380Z ok (0.501s)
2022-11-23T02:11:25.1122418Z   test_autocast_float64_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T02:11:25.1123193Z ok (0.018s)
2022-11-23T02:11:25.1123928Z   test_autocast_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires bf16 (0.002s)
2022-11-23T02:11:25.1125045Z   test_autograd_function_equivalence_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1126109Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:11:25.1126624Z ok (0.019s)
2022-11-23T02:11:25.1127871Z   test_autograd_profiler_enabled_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... STAGE:2022-11-23 02:11:12 5645:5645 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:11:25.1129209Z STAGE:2022-11-23 02:11:12 5645:5645 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:11:25.1130267Z STAGE:2022-11-23 02:11:12 5645:5645 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:11:25.1130958Z frames [('total', 3), ('ok', 3)]
2022-11-23T02:11:25.1131381Z unimplemented []
2022-11-23T02:11:25.1132030Z graph_break [('torch.autograd._profiler_enabled not supported yet', 1)]
2022-11-23T02:11:25.1132840Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:11:25.1133338Z ok (0.448s)
2022-11-23T02:11:25.1134476Z   test_autograd_profiler_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... STAGE:2022-11-23 02:11:12 5645:5645 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:11:25.1135681Z STAGE:2022-11-23 02:11:12 5645:5645 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:11:25.1137242Z STAGE:2022-11-23 02:11:12 5645:5645 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:11:25.1138172Z [2022-11-23 02:11:12,898] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T02:11:25.1138871Z frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1139284Z unimplemented []
2022-11-23T02:11:25.1139812Z graph_break [('Tensor.tolist', 1)]
2022-11-23T02:11:25.1140494Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:11:25.1140987Z ok (0.030s)
2022-11-23T02:11:25.1142012Z   test_boolarg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T02:11:25.1142706Z ok (0.019s)
2022-11-23T02:11:25.1143361Z   test_build_tuple_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1144328Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:11:25.1144842Z ok (0.021s)
2022-11-23T02:11:25.1145858Z   test_builtin_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1146617Z ok (0.012s)
2022-11-23T02:11:25.1147318Z   test_builtin_subclasses_as_method_on_class_type_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.005s)
2022-11-23T02:11:25.1148283Z   test_builtin_subclasses_as_method_on_var_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.007s)
2022-11-23T02:11:25.1150065Z   test_callpacked_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:11:25.1150803Z ok (0.017s)
2022-11-23T02:11:25.1151745Z   test_cell_output1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1152683Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1153163Z ok (0.009s)
2022-11-23T02:11:25.1154061Z   test_cell_output2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1154719Z unimplemented []
2022-11-23T02:11:25.1155538Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T02:11:25.1156465Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1156967Z ok (0.015s)
2022-11-23T02:11:25.1158006Z   test_change_backends_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T02:11:25.1158898Z frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1159285Z ok (0.037s)
2022-11-23T02:11:25.1160498Z   test_cond_export_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)]
2022-11-23T02:11:25.1161202Z ok (0.047s)
2022-11-23T02:11:25.1162304Z   test_cond_export_single_arg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('unique_graphs', 3), ('calls_captured', 2), ('fusions_possible', -1)]
2022-11-23T02:11:25.1163057Z ok (0.025s)
2022-11-23T02:11:25.1164042Z   test_cond_nested_fake_tensor_off_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1165061Z stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)]
2022-11-23T02:11:25.1165591Z ok (0.046s)
2022-11-23T02:11:25.1166528Z   test_cond_nested_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1167468Z stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)]
2022-11-23T02:11:25.1167984Z ok (0.044s)
2022-11-23T02:11:25.1168897Z   test_cond_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1169823Z stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T02:11:25.1170310Z ok (0.024s)
2022-11-23T02:11:25.1171348Z   test_config_getattr_default_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T02:11:25.1172351Z stats [('calls_captured', 21), ('fusions_possible', 18), ('unique_graphs', 3)]
2022-11-23T02:11:25.1172847Z ok (0.049s)
2022-11-23T02:11:25.1173760Z   test_config_log_level_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1174708Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1175226Z ok (0.010s)
2022-11-23T02:11:25.1176634Z   test_config_obj_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T02:11:25.1177600Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)]
2022-11-23T02:11:25.1178087Z ok (0.037s)
2022-11-23T02:11:25.1178737Z   test_const_dict_variable_python_type_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T02:11:25.1180828Z   test_cross_entropy_loss_fancy_ctor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.
2022-11-23T02:11:25.1181959Z   warnings.warn(warning.format(ret))
2022-11-23T02:11:25.1182412Z ok (0.004s)
2022-11-23T02:11:25.1183089Z   test_cross_entropy_loss_simple_ctor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.003s)
2022-11-23T02:11:25.1184385Z   test_dataclass_fields_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1185067Z inline_call []
2022-11-23T02:11:25.1185747Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T02:11:25.1186234Z ok (0.067s)
2022-11-23T02:11:25.1187231Z   test_dict_mutation_side_effect_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1188304Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1188777Z ok (0.010s)
2022-11-23T02:11:25.1189962Z   test_dict_reconstruct_keeps_original_order_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 13), ('ok', 12)]
2022-11-23T02:11:25.1191221Z unimplemented [("Guard setup for uninitialized class <class 'torch.nn.modules.container.ModuleDict'>", 1)]
2022-11-23T02:11:25.1193413Z graph_break [('UnspecializedNNModuleVariable missing add_module', 3), ('construct nn.Module: ReLU', 1), ('call_function in skip_files /opt/conda/lib/python3.10/collections/__init__.py', 1), ('construct nn.Module: ModuleDict', 1), ('Patched init cannot be inlined.', 1), ('construct nn.Module: Linear', 1), ('construct nn.Module: Sigmoid', 1), ('call_method ConstDictVariable() update [TupleVariable()] {}', 1)]
2022-11-23T02:11:25.1194938Z inline_call [('inline __setitem__', 2), ('Patched init cannot be inlined.', 1)]
2022-11-23T02:11:25.1195429Z ok (0.071s)
2022-11-23T02:11:25.1196339Z   test_dictcomp_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1197010Z inline_call []
2022-11-23T02:11:25.1197659Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1198159Z ok (0.013s)
2022-11-23T02:11:25.1198779Z   test_disable_optimize_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.003s)
2022-11-23T02:11:25.1199913Z   test_disallow_in_graph_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1200574Z unimplemented []
2022-11-23T02:11:25.1201428Z graph_break [('call_function UserDefinedObjectVariable(sub) [TensorVariable(), ConstantVariable(int)] {}', 1)]
2022-11-23T02:11:25.1202342Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:11:25.1202821Z ok (0.019s)
2022-11-23T02:11:25.1203508Z   test_dunder_methods_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1204447Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1204934Z ok (0.037s)
2022-11-23T02:11:25.1205595Z   test_duplicate_graph_break_warning_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... break
2022-11-23T02:11:25.1206256Z break
2022-11-23T02:11:25.1206731Z frames [('total', 9), ('ok', 9)]
2022-11-23T02:11:25.1207423Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2)]
2022-11-23T02:11:25.1207969Z unimplemented []
2022-11-23T02:11:25.1208706Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 4)]
2022-11-23T02:11:25.1209775Z stats [('calls_captured', 6), ('unique_graphs', 4), ('fusions_possible', 2)]
2022-11-23T02:11:25.1210281Z ok (0.047s)
2022-11-23T02:11:25.1210924Z   test_dynamo_min_operator_with_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.005s)
2022-11-23T02:11:25.1212132Z   test_empty_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1213068Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:11:25.1213553Z ok (0.015s)
2022-11-23T02:11:25.1214605Z   test_enum_no_graphbreaks_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T02:11:25.1215328Z ok (0.019s)
2022-11-23T02:11:25.1216824Z   test_error_on_nested_fx_trace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1217741Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1218221Z ok (0.009s)
2022-11-23T02:11:25.1219454Z   test_fold_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1220199Z ok (0.008s)
2022-11-23T02:11:25.1221304Z   test_frozenset_torch_func_contains_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T02:11:25.1222039Z ok (0.016s)
2022-11-23T02:11:25.1223082Z   test_function_annotation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:11:25.1223841Z ok (0.015s)
2022-11-23T02:11:25.1224889Z   test_generate_tensor_from_list_of_numpy_primitive_type_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1225601Z unimplemented []
2022-11-23T02:11:25.1226096Z graph_break [('numpy', 1)]
2022-11-23T02:11:25.1226784Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1227264Z ok (0.014s)
2022-11-23T02:11:25.1228202Z   test_grad_mode_guard_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1228869Z unimplemented []
2022-11-23T02:11:25.1229416Z graph_break [('Tensor.tolist', 1)]
2022-11-23T02:11:25.1230138Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:11:25.1230660Z ok (0.021s)
2022-11-23T02:11:25.1231522Z   test_grad_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1232129Z unimplemented []
2022-11-23T02:11:25.1232657Z graph_break [('Tensor.backward', 1)]
2022-11-23T02:11:25.1233347Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:11:25.1233817Z ok (0.019s)
2022-11-23T02:11:25.1234705Z   test_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T02:11:25.1235356Z unimplemented []
2022-11-23T02:11:25.1236199Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 2)]
2022-11-23T02:11:25.1237058Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2022-11-23T02:11:25.1237548Z ok (0.028s)
2022-11-23T02:11:25.1238707Z   test_id_of_nn_module_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T02:11:25.1239752Z ok (0.017s)
2022-11-23T02:11:25.1240775Z   test_if_cond_nn_mod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T02:11:25.1241509Z ok (0.018s)
2022-11-23T02:11:25.1242442Z   test_inference_mode_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1243368Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1243856Z ok (0.009s)
2022-11-23T02:11:25.1244793Z   test_inline_dict_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1245446Z inline_call []
2022-11-23T02:11:25.1246097Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1246602Z ok (0.012s)
2022-11-23T02:11:25.1247574Z   test_inline_func_jump_on_tensor_condition_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T02:11:25.1248447Z inline_call [('generic_jump TensorVariable()', 1)]
2022-11-23T02:11:25.1248938Z unimplemented []
2022-11-23T02:11:25.1249655Z graph_break [('generic_jump TensorVariable()', 1)]
2022-11-23T02:11:25.1250489Z stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T02:11:25.1250991Z ok (0.021s)
2022-11-23T02:11:25.1251934Z   test_inline_list_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1252580Z inline_call []
2022-11-23T02:11:25.1253244Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1253737Z ok (0.010s)
2022-11-23T02:11:25.1254778Z   test_inplace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1255479Z ok (0.010s)
2022-11-23T02:11:25.1257071Z   test_inplace_param_update_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T02:11:25.1257846Z ok (0.012s)
2022-11-23T02:11:25.1258902Z   test_is_floating_point2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1259633Z ok (0.009s)
2022-11-23T02:11:25.1260686Z   test_is_floating_point_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1261421Z ok (0.010s)
2022-11-23T02:11:25.1262324Z   test_is_tensor2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1263270Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:11:25.1263762Z ok (0.015s)
2022-11-23T02:11:25.1264704Z   test_is_tensor_like2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T02:11:25.1265365Z unimplemented []
2022-11-23T02:11:25.1266086Z graph_break [('call_function args: UserDefinedObjectVariable(MyTensor) ', 1)]
2022-11-23T02:11:25.1266945Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:11:25.1267448Z ok (0.020s)
2022-11-23T02:11:25.1268551Z   test_is_tensor_like_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T02:11:25.1269603Z ok (0.015s)
2022-11-23T02:11:25.1270668Z   test_is_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1271366Z ok (0.010s)
2022-11-23T02:11:25.1272470Z   test_item_changes_new_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T02:11:25.1273201Z ok (0.018s)
2022-11-23T02:11:25.1274226Z   test_item_changes_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T02:11:25.1274950Z ok (0.019s)
2022-11-23T02:11:25.1275967Z   test_item_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1276709Z ok (0.010s)
2022-11-23T02:11:25.1277335Z   test_large_reduction_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.031s)
2022-11-23T02:11:25.1278258Z   test_linetable_writer_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T02:11:25.1279673Z   test_list_append_return_none_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1280643Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1281110Z ok (0.009s)
2022-11-23T02:11:25.1281996Z   test_list_mul_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1282615Z ok (0.004s)
2022-11-23T02:11:25.1283484Z   test_listcomp_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1284147Z inline_call []
2022-11-23T02:11:25.1284813Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1285314Z ok (0.015s)
2022-11-23T02:11:25.1286044Z   test_lnotab_writer_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: use lnotab when python < 3.10 (0.001s)
2022-11-23T02:11:25.1287465Z   test_manual_seed_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1288238Z ok (0.009s)
2022-11-23T02:11:25.1289255Z   test_matmul1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1289981Z ok (0.007s)
2022-11-23T02:11:25.1290646Z   test_module_complex_iter_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.014s)
2022-11-23T02:11:25.1291874Z   test_module_deepcopy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 7), ('ok', 7)]
2022-11-23T02:11:25.1292539Z unimplemented []
2022-11-23T02:11:25.1293282Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 2)]
2022-11-23T02:11:25.1293839Z inline_call []
2022-11-23T02:11:25.1294480Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1294989Z ok (0.068s)
2022-11-23T02:11:25.1295654Z   test_named_parameters_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.024s)
2022-11-23T02:11:25.1297455Z   test_namedtuple1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1298658Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1299171Z ok (0.011s)
2022-11-23T02:11:25.1300100Z   test_namedtuple2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1301037Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1301559Z ok (0.011s)
2022-11-23T02:11:25.1302459Z   test_namedtuple3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1303393Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1303883Z ok (0.009s)
2022-11-23T02:11:25.1304757Z   test_nan_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1305683Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1306160Z ok (0.008s)
2022-11-23T02:11:25.1306857Z   test_nested_closure_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1307821Z stats [('calls_captured', 11), ('fusions_possible', 9), ('unique_graphs', 2)]
2022-11-23T02:11:25.1308310Z ok (0.025s)
2022-11-23T02:11:25.1309100Z   test_nested_closure_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1310181Z stats [('calls_captured', 9), ('fusions_possible', 7), ('unique_graphs', 2)]
2022-11-23T02:11:25.1310710Z ok (0.029s)
2022-11-23T02:11:25.1312003Z   test_nested_disable_decorator_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... [2022-11-23 02:11:14,328] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT fn3 /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1195 
2022-11-23T02:11:25.1312955Z due to: 
2022-11-23T02:11:25.1313400Z Traceback (most recent call last):
2022-11-23T02:11:25.1314324Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/exc.py", line 67, in unimplemented
2022-11-23T02:11:25.1314986Z     raise Unsupported(msg)
2022-11-23T02:11:25.1315856Z torch._dynamo.exc.Unsupported: call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7fdb2c953370>
2022-11-23T02:11:25.1316521Z 
2022-11-23T02:11:25.1316730Z from user code:
2022-11-23T02:11:25.1317303Z    File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1197, in fn3
2022-11-23T02:11:25.1317913Z     return fn2(x)
2022-11-23T02:11:25.1318504Z   File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1190, in fn2
2022-11-23T02:11:25.1319107Z     x = fn1(x)  # graph break
2022-11-23T02:11:25.1319369Z 
2022-11-23T02:11:25.1319705Z Set torch._dynamo.config.verbose=True for more information
2022-11-23T02:11:25.1320105Z 
2022-11-23T02:11:25.1320135Z 
2022-11-23T02:11:25.1320489Z frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1320966Z unimplemented []
2022-11-23T02:11:25.1321988Z graph_break [('call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7fdb2c953370>', 1)]
2022-11-23T02:11:25.1323073Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:11:25.1324301Z inline_call [('call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7fdb2c953370>', 1)]
2022-11-23T02:11:25.1325066Z ok (0.022s)
2022-11-23T02:11:25.1325805Z   test_nested_optimize_decorator_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1326865Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1327498Z ok (0.014s)
2022-11-23T02:11:25.1328671Z   test_nested_optimize_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T02:11:25.1329851Z ok (0.020s)
2022-11-23T02:11:25.1331069Z   test_nested_optimize_run_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T02:11:25.1331932Z ok (0.018s)
2022-11-23T02:11:25.1332710Z   test_nn_sequential_invocation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1333735Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1334224Z ok (0.018s)
2022-11-23T02:11:25.1334944Z   test_nn_sequential_invocation_reposition_indices_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1335925Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1336992Z ok (0.016s)
2022-11-23T02:11:25.1337956Z   test_no_error_on_nested_fx_trace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1338967Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1339483Z ok (0.009s)
2022-11-23T02:11:25.1340766Z   test_no_grad_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 40), ('fusions_possible', 32), ('unique_graphs', 8)]
2022-11-23T02:11:25.1341525Z ok (0.080s)
2022-11-23T02:11:25.1342534Z   test_numel_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1343262Z ok (0.011s)
2022-11-23T02:11:25.1344204Z   test_numpy_int_constant_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1345195Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1345722Z ok (0.010s)
2022-11-23T02:11:25.1346728Z   test_numpy_variable_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1347743Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1348304Z ok (0.009s)
2022-11-23T02:11:25.1348987Z   test_object_classmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1349945Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1350442Z ok (0.009s)
2022-11-23T02:11:25.1351126Z   test_object_staticmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1352092Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1352607Z ok (0.010s)
2022-11-23T02:11:25.1353695Z   test_onnx_shape_as_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 15), ('fusions_possible', 10), ('unique_graphs', 5)]
2022-11-23T02:11:25.1354418Z ok (0.039s)
2022-11-23T02:11:25.1355453Z   test_optimize_on_module_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1356177Z ok (0.008s)
2022-11-23T02:11:25.1357244Z   test_pair_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T02:11:25.1357969Z ok (0.015s)
2022-11-23T02:11:25.1358871Z   test_python_slice_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1359898Z ok (0.011s)
2022-11-23T02:11:25.1360854Z   test_raise_on_backend_error_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1)]
2022-11-23T02:11:25.1361735Z stats [('calls_captured', 3), ('fusions_possible', 2)]
2022-11-23T02:11:25.1362195Z ok (0.007s)
2022-11-23T02:11:25.1363087Z   test_raises_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T02:11:25.1363723Z unimplemented []
2022-11-23T02:11:25.1364425Z graph_break [('call_function BuiltinVariable(str) [TensorVariable()] {}', 1)]
2022-11-23T02:11:25.1365238Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1365733Z ok (0.013s)
2022-11-23T02:11:25.1366754Z   test_rand_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1367451Z ok (0.008s)
2022-11-23T02:11:25.1368116Z   test_range_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1369067Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1369721Z ok (0.011s)
2022-11-23T02:11:25.1370710Z   test_recursive_inline_list_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1371396Z inline_call []
2022-11-23T02:11:25.1372058Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T02:11:25.1372516Z ok (0.025s)
2022-11-23T02:11:25.1373456Z   test_release_input_memory_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1374428Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1374936Z ok (0.006s)
2022-11-23T02:11:25.1375862Z   test_release_module_memory_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1377344Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1377849Z ok (0.008s)
2022-11-23T02:11:25.1378979Z   test_repro_graph_breaks_in__get_item_by_idx_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1379771Z ok (0.010s)
2022-11-23T02:11:25.1380730Z   test_return_nested_function_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1381693Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 2)]
2022-11-23T02:11:25.1382159Z ok (0.021s)
2022-11-23T02:11:25.1382791Z   test_sample_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (1.052s)
2022-11-23T02:11:25.1383970Z   test_setattr_mutation1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1385058Z unimplemented [('call_method UserDefinedObjectVariable(member_descriptor) __mul__ [ConstantVariable(int)] {}', 1)]
2022-11-23T02:11:25.1386217Z graph_break [("isinstance called on UserDefinedClass UserDefinedObjectVariable(member_descriptor) <class 'torch.Tensor'>", 1)]
2022-11-23T02:11:25.1386989Z frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1387666Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)]
2022-11-23T02:11:25.1388139Z ok (0.024s)
2022-11-23T02:11:25.1389060Z   test_setattr_mutation2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1390177Z inline_call []
2022-11-23T02:11:25.1390841Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T02:11:25.1391332Z ok (0.019s)
2022-11-23T02:11:25.1392246Z   test_setattr_mutation3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1392907Z inline_call []
2022-11-23T02:11:25.1393540Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T02:11:25.1394047Z ok (0.020s)
2022-11-23T02:11:25.1394957Z   test_shape_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1395915Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1396423Z ok (0.008s)
2022-11-23T02:11:25.1397416Z   test_side_effects_codegen_update_mutated_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 6), ('ok', 6)]
2022-11-23T02:11:25.1398140Z unimplemented []
2022-11-23T02:11:25.1398651Z graph_break [('Tensor.item', 4)]
2022-11-23T02:11:25.1399401Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)]
2022-11-23T02:11:25.1399900Z ok (0.047s)
2022-11-23T02:11:25.1400974Z   test_size_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1401921Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:11:25.1402434Z ok (0.014s)
2022-11-23T02:11:25.1403520Z   test_slice_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T02:11:25.1404273Z ok (0.035s)
2022-11-23T02:11:25.1405256Z   test_tensor_build_list_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1406265Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1406758Z ok (0.018s)
2022-11-23T02:11:25.1407821Z   test_tensor_data_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1408531Z ok (0.009s)
2022-11-23T02:11:25.1409401Z   test_tensor_dict1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1410370Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1410881Z ok (0.010s)
2022-11-23T02:11:25.1411794Z   test_tensor_dict2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T02:11:25.1412806Z stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T02:11:25.1413289Z ok (0.032s)
2022-11-23T02:11:25.1414300Z   test_tensor_dot_grad_no_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1415025Z unimplemented []
2022-11-23T02:11:25.1415571Z graph_break [('Tensor.backward', 1)]
2022-11-23T02:11:25.1416708Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T02:11:25.1417233Z ok (0.023s)
2022-11-23T02:11:25.1418129Z   test_tensor_is_contiguous_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1419105Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T02:11:25.1419649Z ok (0.023s)
2022-11-23T02:11:25.1420621Z   test_tensor_item_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1421900Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1422448Z ok (0.010s)
2022-11-23T02:11:25.1423435Z   test_tensor_item_no_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1424137Z unimplemented []
2022-11-23T02:11:25.1424675Z graph_break [('Tensor.item', 1)]
2022-11-23T02:11:25.1425395Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1425886Z ok (0.009s)
2022-11-23T02:11:25.1426969Z   test_tensor_layout_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1427895Z ok (0.011s)
2022-11-23T02:11:25.1428825Z   test_tensor_types_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 10), ('ok', 10)]
2022-11-23T02:11:25.1429817Z stats [('calls_captured', 10), ('unique_graphs', 10), ('fusions_possible', 0)]
2022-11-23T02:11:25.1430307Z ok (0.075s)
2022-11-23T02:11:25.1431575Z   test_top_package_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1432335Z ok (0.009s)
2022-11-23T02:11:25.1433520Z   test_torch_cuda_is_available_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1434291Z ok (0.010s)
2022-11-23T02:11:25.1435306Z   test_torch_nn_parameter_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1436237Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1436730Z ok (0.011s)
2022-11-23T02:11:25.1437931Z   test_torch_profiler_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... STAGE:2022-11-23 02:11:16 5645:5645 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:11:25.1439235Z STAGE:2022-11-23 02:11:16 5645:5645 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:11:25.1440233Z STAGE:2022-11-23 02:11:16 5645:5645 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:11:25.1441175Z [2022-11-23 02:11:16,226] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T02:11:25.1442714Z [2022-11-23 02:11:16,227] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T02:11:25.1443452Z frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1444030Z unimplemented []
2022-11-23T02:11:25.1444692Z graph_break [('Tensor.tolist', 1)]
2022-11-23T02:11:25.1445458Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:11:25.1446186Z ok (0.029s)
2022-11-23T02:11:25.1447387Z   test_torch_seed_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1448277Z ok (0.009s)
2022-11-23T02:11:25.1449397Z   test_torch_size_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1450221Z ok (0.009s)
2022-11-23T02:11:25.1451313Z   test_type_copy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1452304Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T02:11:25.1452918Z ok (0.020s)
2022-11-23T02:11:25.1454246Z   test_typing_variable_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1455402Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1455947Z ok (0.010s)
2022-11-23T02:11:25.1458239Z   test_unpack4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T02:11:25.1458819Z ok (0.014s)
2022-11-23T02:11:25.1459487Z   test_unpack5_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T02:11:25.1460123Z ok (0.014s)
2022-11-23T02:11:25.1461034Z   test_unsupported_fake_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... [2022-11-23 02:11:16,331] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT f /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1705 
2022-11-23T02:11:25.1461688Z due to: 
2022-11-23T02:11:25.1461976Z Traceback (most recent call last):
2022-11-23T02:11:25.1462541Z   File "/opt/conda/lib/python3.10/site-packages/torch/_ops.py", line 107, in resolve_key
2022-11-23T02:11:25.1463416Z     raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}")
2022-11-23T02:11:25.1464076Z NotImplementedError: could not find kernel for aten.quantize_per_tensor.default at dispatch key DispatchKey.Meta
2022-11-23T02:11:25.1464370Z 
2022-11-23T02:11:25.1464609Z During handling of the above exception, another exception occurred:
2022-11-23T02:11:25.1464886Z 
2022-11-23T02:11:25.1465063Z Traceback (most recent call last):
2022-11-23T02:11:25.1465753Z   File "/opt/conda/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 213, in from_real_tensor
2022-11-23T02:11:25.1466272Z     raise UnsupportedFakeTensorException("quantized nyi in meta tensors")
2022-11-23T02:11:25.1466864Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors
2022-11-23T02:11:25.1467198Z 
2022-11-23T02:11:25.1467435Z The above exception was the direct cause of the following exception:
2022-11-23T02:11:25.1467721Z 
2022-11-23T02:11:25.1467900Z Traceback (most recent call last):
2022-11-23T02:11:25.1468477Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 1112, in run_node
2022-11-23T02:11:25.1468972Z     raise RuntimeError(
2022-11-23T02:11:25.1469741Z RuntimeError: Failed running call_function <built-in method quantize_per_tensor of type object at 0x7fdbf661ac60>(*(FakeTensor(FakeTensor(..., device='meta', size=(2, 2)), cpu), 0.1, 10, torch.quint8), **{}):
2022-11-23T02:11:25.1470338Z quantized nyi in meta tensors
2022-11-23T02:11:25.1470678Z (scroll up for backtrace)
2022-11-23T02:11:25.1470941Z 
2022-11-23T02:11:25.1471116Z The above exception was the direct cause of the following exception:
2022-11-23T02:11:25.1471384Z 
2022-11-23T02:11:25.1471560Z Traceback (most recent call last):
2022-11-23T02:11:25.1472105Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 1082, in get_fake_value
2022-11-23T02:11:25.1472575Z     raise TorchRuntimeError() from e
2022-11-23T02:11:25.1473027Z torch._dynamo.exc.TorchRuntimeError: 
2022-11-23T02:11:25.1473333Z 
2022-11-23T02:11:25.1473489Z from user code:
2022-11-23T02:11:25.1473859Z    File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1706, in f
2022-11-23T02:11:25.1474336Z     return torch.quantize_per_tensor(x, 0.1, 10, torch.quint8)
2022-11-23T02:11:25.1474592Z 
2022-11-23T02:11:25.1474820Z Set torch._dynamo.config.verbose=True for more information
2022-11-23T02:11:25.1475118Z 
2022-11-23T02:11:25.1475137Z 
2022-11-23T02:11:25.1475286Z frames [('total', 1)]
2022-11-23T02:11:25.1475790Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1498413Z ok (0.018s)
2022-11-23T02:11:25.1499693Z   test_update_locals_and_stack_uses_shared_cache_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1500149Z inline_call []
2022-11-23T02:11:25.1500387Z unimplemented []
2022-11-23T02:11:25.1500849Z graph_break [('call_method ListVariable() extend [ListIteratorVariable()] {}', 1)]
2022-11-23T02:11:25.1501213Z ok (0.014s)
2022-11-23T02:11:25.1501879Z   test_user_defined_class_name_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1502333Z ok (0.013s)
2022-11-23T02:11:25.1502787Z   test_user_function_variable_supports_enum_argument_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1503218Z ok (0.009s)
2022-11-23T02:11:25.1503651Z   test_user_function_variable_supports_function_argument_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1504270Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1504601Z ok (0.011s)
2022-11-23T02:11:25.1505171Z   test_user_function_variable_supports_type_abcmeta_argument_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1505778Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1506098Z ok (0.011s)
2022-11-23T02:11:25.1506660Z   test_user_getattr1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1507075Z inline_call []
2022-11-23T02:11:25.1507471Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1507798Z ok (0.011s)
2022-11-23T02:11:25.1508420Z   test_user_getattr2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1508818Z inline_call []
2022-11-23T02:11:25.1509228Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1509544Z ok (0.012s)
2022-11-23T02:11:25.1510084Z   test_user_property_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1510498Z inline_call []
2022-11-23T02:11:25.1510906Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1511200Z ok (0.010s)
2022-11-23T02:11:25.1511618Z   test_usr_cls_classmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1512262Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1512515Z ok (0.014s)
2022-11-23T02:11:25.1512927Z   test_usr_cls_staticmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1513501Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1513816Z ok (0.012s)
2022-11-23T02:11:25.1514202Z   test_version_ci_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T02:11:25.1514788Z   test_write_to_closures_in_inlining_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1515379Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1515708Z ok (0.011s)
2022-11-23T02:11:25.1516337Z   test_basicmodule1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1516903Z ok (0.015s)
2022-11-23T02:11:25.1517550Z   test_basicmodule2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1518006Z ok (0.015s)
2022-11-23T02:11:25.1518431Z   test_call_fn_with_non_const_inputs_safe_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1519027Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1519347Z ok (0.018s)
2022-11-23T02:11:25.1519962Z   test_cfgmod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T02:11:25.1520411Z ok (0.023s)
2022-11-23T02:11:25.1521043Z   test_children_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1521497Z ok (0.017s)
2022-11-23T02:11:25.1522102Z   test_constloop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T02:11:25.1522559Z ok (0.021s)
2022-11-23T02:11:25.1523054Z   test_densenet_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1523664Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T02:11:25.1523935Z ok (0.026s)
2022-11-23T02:11:25.1524340Z   test_enumvalues_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1524910Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T02:11:25.1525204Z ok (0.025s)
2022-11-23T02:11:25.1525826Z   test_fnmember_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1526287Z ok (0.013s)
2022-11-23T02:11:25.1526901Z   test_fnmembercmp1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1527360Z ok (0.014s)
2022-11-23T02:11:25.1527995Z   test_fnmembercmp2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1528439Z ok (0.014s)
2022-11-23T02:11:25.1528828Z   test_forward_directly_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1529401Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1529729Z ok (0.019s)
2022-11-23T02:11:25.1530121Z   test_generation_tag_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.004s)
2022-11-23T02:11:25.1530907Z   test_hasattr_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1531359Z ok (0.015s)
2022-11-23T02:11:25.1531986Z   test_intarg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1532407Z ok (0.014s)
2022-11-23T02:11:25.1533024Z   test_iseval1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1533466Z ok (0.014s)
2022-11-23T02:11:25.1534085Z   test_iseval2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1534603Z ok (0.013s)
2022-11-23T02:11:25.1535248Z   test_isnonelayer_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1535710Z ok (0.012s)
2022-11-23T02:11:25.1536744Z   test_istraining1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1537224Z ok (0.014s)
2022-11-23T02:11:25.1537824Z   test_istraining2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1538270Z ok (0.013s)
2022-11-23T02:11:25.1538939Z   test_layerlist_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1539401Z ok (0.015s)
2022-11-23T02:11:25.1540486Z   test_lazy_module_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:11:25.1541342Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:11:25.1542219Z [2022-11-23 02:11:16,832] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7fdb44824700> [ShapeVariable()] {} missing a required argument: 'shape'
2022-11-23T02:11:25.1543210Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:11:25.1543890Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:11:25.1544656Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:11:25.1545315Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:11:25.1546170Z [2022-11-23 02:11:16,877] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7fdb44824700> [ShapeVariable()] {} missing a required argument: 'shape'
2022-11-23T02:11:25.1547152Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:11:25.1547818Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:11:25.1548222Z frames [('total', 16), ('ok', 14)]
2022-11-23T02:11:25.1549172Z inline_call [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2), ('call_function UserDefinedObjectVariable(_infer_parameters) [NNModuleVariable(), TupleVariable()] {}', 1), ('call_function UserDefinedObjectVariable(_infer_parameters) [UnspecializedNNModuleVariable(LazyModule), TupleVariable()] {}', 1)]
2022-11-23T02:11:25.1550064Z unimplemented [("Guard setup for uninitialized class <class 'test_modules.LazyModule'>", 2)]
2022-11-23T02:11:25.1550618Z graph_break [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2)]
2022-11-23T02:11:25.1551119Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1551413Z ok (0.081s)
2022-11-23T02:11:25.1551852Z   test_module_attribute_precedence_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1552573Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1552891Z ok (0.017s)
2022-11-23T02:11:25.1553291Z   test_module_class_method_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1553866Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T02:11:25.1554189Z ok (0.029s)
2022-11-23T02:11:25.1554832Z   test_module_name_string_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1555292Z ok (0.017s)
2022-11-23T02:11:25.1555711Z   test_module_property_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1556289Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1556592Z ok (0.012s)
2022-11-23T02:11:25.1557015Z   test_module_static_method_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1557585Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T02:11:25.1557960Z ok (0.030s)
2022-11-23T02:11:25.1558607Z   test_moduledict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1559059Z ok (0.012s)
2022-11-23T02:11:25.1559704Z   test_modulelist_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 40), ('fusions_possible', 39), ('unique_graphs', 1)]
2022-11-23T02:11:25.1560136Z ok (0.077s)
2022-11-23T02:11:25.1560548Z   test_modulemethod1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1561128Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T02:11:25.1561424Z ok (0.029s)
2022-11-23T02:11:25.1561840Z   test_modulemethod2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1562410Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T02:11:25.1562732Z ok (0.029s)
2022-11-23T02:11:25.1563371Z   test_nn_moduledict_contains_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T02:11:25.1563911Z frames [('total', 2), ('ok', 1)]
2022-11-23T02:11:25.1564294Z inline_call [('Patched init cannot be inlined.', 1)]
2022-11-23T02:11:25.1564888Z unimplemented [("Guard setup for uninitialized class <class 'test_modules.NNModuleTests.test_nn_moduledict_contains.<locals>.M'>", 1)]
2022-11-23T02:11:25.1565442Z graph_break [('Patched init cannot be inlined.', 1)]
2022-11-23T02:11:25.1565742Z ok (0.033s)
2022-11-23T02:11:25.1566143Z   test_parameters1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1566713Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1567035Z ok (0.016s)
2022-11-23T02:11:25.1567473Z   test_parameters2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1568016Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1568334Z ok (0.017s)
2022-11-23T02:11:25.1568977Z   test_parameters3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T02:11:25.1569552Z ok (0.017s)
2022-11-23T02:11:25.1570184Z   test_self_mutating1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T02:11:25.1570644Z ok (0.040s)
2022-11-23T02:11:25.1571273Z   test_seq_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1571696Z ok (0.015s)
2022-11-23T02:11:25.1572515Z   test_simple_torch_function_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T02:11:25.1573230Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T02:11:25.1573917Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T02:11:25.1574451Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T02:11:25.1574805Z inline_call []
2022-11-23T02:11:25.1575222Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1575544Z ok (0.020s)
2022-11-23T02:11:25.1576637Z   test_stringmember_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1577118Z ok (0.013s)
2022-11-23T02:11:25.1577525Z   test_submodules1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1578082Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T02:11:25.1578403Z ok (0.025s)
2022-11-23T02:11:25.1578811Z   test_submodules2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1579390Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T02:11:25.1579684Z ok (0.025s)
2022-11-23T02:11:25.1580091Z   test_super1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1580649Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1580944Z ok (0.018s)
2022-11-23T02:11:25.1581359Z   test_super_class_method_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1581932Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1582234Z ok (0.013s)
2022-11-23T02:11:25.1582867Z   test_tensorlist_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1583326Z ok (0.017s)
2022-11-23T02:11:25.1584161Z   test_torch_function_with_closure_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T02:11:25.1584855Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T02:11:25.1585550Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T02:11:25.1586096Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T02:11:25.1586620Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1586917Z ok (0.012s)
2022-11-23T02:11:25.1587493Z   test_unsupportedmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T02:11:25.1588406Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T02:11:25.1588819Z unimplemented []
2022-11-23T02:11:25.1589328Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T02:11:25.1589897Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)]
2022-11-23T02:11:25.1590214Z ok (0.035s)
2022-11-23T02:11:25.1590774Z   test_unsupportedmodule_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T02:11:25.1591462Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T02:11:25.1591868Z unimplemented []
2022-11-23T02:11:25.1592366Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T02:11:25.1592949Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2022-11-23T02:11:25.1593278Z ok (0.035s)
2022-11-23T02:11:25.1593696Z   test_viamodulecall_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1594379Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1594724Z ok (0.016s)
2022-11-23T02:11:25.1595273Z   test_Size_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1595894Z inline_call [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T02:11:25.1596279Z unimplemented []
2022-11-23T02:11:25.1596766Z graph_break [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T02:11:25.1597308Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1597602Z ok (0.016s)
2022-11-23T02:11:25.1598156Z   test_abc_setattr_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T02:11:25.1598574Z unimplemented []
2022-11-23T02:11:25.1599143Z graph_break [('setattr(UserDefinedObjectVariable) <function ReproTests.test_abc_setattr.<locals>.Derived.__setattr__ at 0x7fdab72523b0>', 1)]
2022-11-23T02:11:25.1599572Z inline_call []
2022-11-23T02:11:25.1599987Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1600314Z ok (0.016s)
2022-11-23T02:11:25.1600710Z   test_batch_norm_act_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1601287Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1601610Z ok (0.024s)
2022-11-23T02:11:25.1602174Z   test_bigbird_unsqueeze_inplace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1602779Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1603185Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1603430Z ok (0.720s)
2022-11-23T02:11:25.1603842Z   test_boxes_len_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1604415Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1604734Z ok (0.014s)
2022-11-23T02:11:25.1605126Z   test_chunk_reformer_ff_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1605704Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1606021Z ok (0.054s)
2022-11-23T02:11:25.1606765Z   test_class_member_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1607231Z ok (0.012s)
2022-11-23T02:11:25.1607836Z   test_convert_boxes_to_pooler_format_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T02:11:25.1608268Z inline_call []
2022-11-23T02:11:25.1608497Z unimplemented []
2022-11-23T02:11:25.1608878Z graph_break [('dynamic shapes: repeat_interleave', 2)]
2022-11-23T02:11:25.1609354Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)]
2022-11-23T02:11:25.1609656Z ok (0.102s)
2022-11-23T02:11:25.1610098Z   test_create_rand_mask_from_inputs_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1610679Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T02:11:25.1610982Z ok (0.096s)
2022-11-23T02:11:25.1611380Z   test_dict_iter_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.008s)
2022-11-23T02:11:25.1612092Z   test_dict_list_values_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 7), ('ok', 7)]
2022-11-23T02:11:25.1612602Z unimplemented []
2022-11-23T02:11:25.1613211Z graph_break [('call_function in skip_files Builtin count', 2), ('call_function BuiltinVariable(zip) [UserDefinedObjectVariable(count), ListVariable()] {}', 2)]
2022-11-23T02:11:25.1613643Z ok (0.031s)
2022-11-23T02:11:25.1614207Z   test_do_paste_mask_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 12), ('ok', 11)]
2022-11-23T02:11:25.1615103Z unimplemented [('Dynamic slicing not supported', 1)]
2022-11-23T02:11:25.1615573Z graph_break [('dynamic shapes: arange', 6), ('Dynamic slicing not supported', 4)]
2022-11-23T02:11:25.1616584Z stats [('calls_captured', 159), ('fusions_possible', 148), ('unique_graphs', 11)]
2022-11-23T02:11:25.1616897Z ok (0.454s)
2022-11-23T02:11:25.1617530Z   test_ellipsis_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1617968Z ok (0.017s)
2022-11-23T02:11:25.1618528Z   test_exec_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T02:11:25.1619126Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T02:11:25.1619458Z unimplemented []
2022-11-23T02:11:25.1619903Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T02:11:25.1620240Z ok (0.007s)
2022-11-23T02:11:25.1620794Z   test_exec_wildcard_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T02:11:25.1621414Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T02:11:25.1621771Z unimplemented []
2022-11-23T02:11:25.1622221Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T02:11:25.1622714Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T02:11:25.1623032Z ok (0.017s)
2022-11-23T02:11:25.1623624Z   test_for_loop_graph_break_before_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1624040Z unimplemented []
2022-11-23T02:11:25.1624555Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T02:11:25.1624938Z inline_call []
2022-11-23T02:11:25.1625347Z stats [('calls_captured', 100), ('fusions_possible', 99), ('unique_graphs', 1)]
2022-11-23T02:11:25.1625895Z ok (0.213s)
2022-11-23T02:11:25.1626471Z   test_for_loop_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1626891Z inline_call []
2022-11-23T02:11:25.1627392Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T02:11:25.1627950Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1628279Z ok (0.018s)
2022-11-23T02:11:25.1628684Z   test_get_parameter_dtype_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1629265Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1629585Z ok (0.013s)
2022-11-23T02:11:25.1630035Z   test_grad_mode_carrying_correct_state_after_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... Break
2022-11-23T02:11:25.1630517Z frames [('total', 3), ('ok', 3)]
2022-11-23T02:11:25.1630792Z unimplemented []
2022-11-23T02:11:25.1631236Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T02:11:25.1631732Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T02:11:25.1632137Z ok (0.020s)
2022-11-23T02:11:25.1632728Z   test_guard_fail_nested_tuple_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1633300Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:11:25.1633615Z ok (0.019s)
2022-11-23T02:11:25.1634476Z   test_guard_fail_tensor_bool_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... [2022-11-23 02:11:19,410] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT <graph break in check_equal> /var/lib/jenkins/workspace/test/dynamo/test_repros.py line 1356 
2022-11-23T02:11:25.1635051Z due to: 
2022-11-23T02:11:25.1635293Z Traceback (most recent call last):
2022-11-23T02:11:25.1635838Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 818, in wrap_fx_proxy_cls
2022-11-23T02:11:25.1636259Z     raise AssertionError(
2022-11-23T02:11:25.1636803Z AssertionError: torch.* op returned non-Tensor bool call_function <built-in method allclose of type object at 0x7fdbf661ac60>
2022-11-23T02:11:25.1637128Z 
2022-11-23T02:11:25.1637241Z from user code:
2022-11-23T02:11:25.1637620Z    File "/var/lib/jenkins/workspace/test/dynamo/test_repros.py", line 1358, in <graph break in check_equal>
2022-11-23T02:11:25.1638028Z     assert torch.allclose(expected, result)
2022-11-23T02:11:25.1638232Z 
2022-11-23T02:11:25.1638399Z Set torch._dynamo.config.verbose=True for more information
2022-11-23T02:11:25.1638684Z 
2022-11-23T02:11:25.1638703Z 
2022-11-23T02:11:25.1638903Z frames [('total', 7), ('ok', 6)]
2022-11-23T02:11:25.1639341Z unimplemented [('FOR_ITER UserDefinedObjectVariable(product)', 1)]
2022-11-23T02:11:25.1640046Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_guard_fail_tensor_bool.<locals>.fn.<locals>.get_expected at 0x7fdb0f8ac700>', 5)]
2022-11-23T02:11:25.1640462Z ok (0.040s)
2022-11-23T02:11:25.1640893Z   test_guard_ordering_shape_fail_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T02:11:25.1641477Z   test_hf_model_output_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1642033Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)]
2022-11-23T02:11:25.1642359Z ok (0.093s)
2022-11-23T02:11:25.1642768Z   test_hf_t5_forward_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1643448Z stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)]
2022-11-23T02:11:25.1643745Z ok (0.378s)
2022-11-23T02:11:25.1644307Z   test_indexing_with_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T02:11:25.1644800Z inline_call [('Tensor.numpy', 1)]
2022-11-23T02:11:25.1645060Z unimplemented []
2022-11-23T02:11:25.1645435Z graph_break [('Tensor.numpy', 1)]
2022-11-23T02:11:25.1645909Z stats [('unique_graphs', 2), ('calls_captured', 0), ('fusions_possible', -2)]
2022-11-23T02:11:25.1646230Z ok (0.028s)
2022-11-23T02:11:25.1646652Z   test_is_symbolic_tracing_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1647132Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1647459Z ok (0.009s)
2022-11-23T02:11:25.1647860Z   test_isinstance_dtype_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.005s)
2022-11-23T02:11:25.1649140Z   test_isinstance_storage_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T02:11:25.1649955Z   warnings.warn(message, UserWarning)
2022-11-23T02:11:25.1650317Z frames [('total', 12), ('ok', 11)]
2022-11-23T02:11:25.1650569Z unimplemented []
2022-11-23T02:11:25.1651208Z graph_break [('call_function BuiltinVariable(bytearray) [ListVariable()] {}', 1), ('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)]
2022-11-23T02:11:25.1651911Z inline_call [('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)]
2022-11-23T02:11:25.1652329Z expected failure (0.021s)
2022-11-23T02:11:25.1652748Z   test_issue1466_size_aot_autograd_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... arf
2022-11-23T02:11:25.1653142Z arf
2022-11-23T02:11:25.1653433Z frames [('total', 3), ('ok', 3)]
2022-11-23T02:11:25.1653681Z unimplemented []
2022-11-23T02:11:25.1654134Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T02:11:25.1654654Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T02:11:25.1655040Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1655310Z ok (0.047s)
2022-11-23T02:11:25.1655718Z   test_issue175_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1656711Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)]
2022-11-23T02:11:25.1657090Z ok (0.033s)
2022-11-23T02:11:25.1657701Z   test_longformer_chunk_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:11:25.1658165Z ok (0.113s)
2022-11-23T02:11:25.1658715Z   test_maml_item_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T02:11:25.1659310Z inline_call [('inlining disallowed: <function grad at 0x7fdb44780940>', 1)]
2022-11-23T02:11:25.1659645Z unimplemented []
2022-11-23T02:11:25.1660185Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: <function grad at 0x7fdb44780940>', 1)]
2022-11-23T02:11:25.1660754Z stats [('calls_captured', 29), ('fusions_possible', 27), ('unique_graphs', 2)]
2022-11-23T02:11:25.1661074Z ok (0.132s)
2022-11-23T02:11:25.1661647Z   test_maml_no_item_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T02:11:25.1662400Z inline_call [('inlining disallowed: <function grad at 0x7fdb44780940>', 1)]
2022-11-23T02:11:25.1662729Z unimplemented []
2022-11-23T02:11:25.1663329Z graph_break [('Tensor.item', 2), ('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: <function grad at 0x7fdb44780940>', 1)]
2022-11-23T02:11:25.1663928Z stats [('calls_captured', 29), ('fusions_possible', 25), ('unique_graphs', 4)]
2022-11-23T02:11:25.1664235Z ok (0.179s)
2022-11-23T02:11:25.1664870Z   test_modules_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T02:11:25.1665323Z ok (0.015s)
2022-11-23T02:11:25.1665859Z   test_multi_dot_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T02:11:25.1666553Z inline_call [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T02:11:25.1666959Z unimplemented []
2022-11-23T02:11:25.1667496Z graph_break [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T02:11:25.1668041Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1668443Z ok (0.020s)
2022-11-23T02:11:25.1668979Z   test_multi_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires detectron2 (0.001s)
2022-11-23T02:11:25.1669777Z   test_named_buffers_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T02:11:25.1670234Z ok (0.016s)
2022-11-23T02:11:25.1670794Z   test_nn_parameter_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1671436Z inline_call [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T02:11:25.1671779Z unimplemented []
2022-11-23T02:11:25.1672250Z graph_break [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T02:11:25.1672784Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1673084Z ok (0.019s)
2022-11-23T02:11:25.1673689Z   test_not_rewrite_assert_for_other_errors_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1674299Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1674616Z ok (0.012s)
2022-11-23T02:11:25.1675216Z   test_not_rewrite_assert_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T02:11:25.1675684Z ok (0.006s)
2022-11-23T02:11:25.1676244Z   test_numpy_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T02:11:25.1676640Z unimplemented []
2022-11-23T02:11:25.1677212Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_numpy_list.<locals>.rand_gen at 0x7fdb0f709a20>', 1)]
2022-11-23T02:11:25.1677804Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:11:25.1678125Z ok (0.045s)
2022-11-23T02:11:25.1678675Z   test_optimized_deepcopy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1679261Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1679580Z ok (0.012s)
2022-11-23T02:11:25.1680112Z   test_primtorch_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T02:11:25.1680919Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T02:11:25.1681317Z unimplemented []
2022-11-23T02:11:25.1681837Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T02:11:25.1682209Z ok (0.009s)
2022-11-23T02:11:25.1682970Z   test_primtorch_no_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T02:11:25.1683551Z expected failure (0.005s)
2022-11-23T02:11:25.1684143Z   test_recursive_map_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1684535Z inline_call []
2022-11-23T02:11:25.1684959Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1685278Z ok (0.019s)
2022-11-23T02:11:25.1685539Z   test_reformer_eval_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1685822Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)]
2022-11-23T02:11:25.1685992Z ok (0.040s)
2022-11-23T02:11:25.1686300Z   test_reformer_min_chunk_len_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1686584Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1686690Z ok (0.017s)
2022-11-23T02:11:25.1686976Z   test_reformer_sorting_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T02:11:25.1687258Z stats [('calls_captured', 14), ('fusions_possible', 13), ('unique_graphs', 1)]
2022-11-23T02:11:25.1687362Z ok (0.049s)
2022-11-23T02:11:25.1687779Z   test_reformer_train_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T02:11:25.1688173Z inline_call [('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)]
2022-11-23T02:11:25.1688292Z unimplemented []
2022-11-23T02:11:25.1688780Z graph_break [('autograd.Function with requires_grad', 1), ('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)]
2022-11-23T02:11:25.1689068Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)]
2022-11-23T02:11:25.1689174Z ok (0.074s)
2022-11-23T02:11:25.1689601Z   test_reinplacing_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1689878Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1690052Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1690155Z ok (1.988s)
2022-11-23T02:11:25.1690670Z   test_relative_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1690776Z ok (0.011s)
2022-11-23T02:11:25.1691325Z   test_relative_import_no_modulename_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1691431Z ok (0.011s)
2022-11-23T02:11:25.1691956Z   test_rewrite_assert_noop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T02:11:25.1692059Z ok (0.033s)
2022-11-23T02:11:25.1692551Z   test_rewrite_assert_with_fstring_msg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T02:11:25.1692745Z ok (0.007s)
2022-11-23T02:11:25.1693283Z   test_rewrite_assert_with_msg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 18), ('fusions_possible', 15), ('unique_graphs', 3)]
2022-11-23T02:11:25.1693391Z ok (0.033s)
2022-11-23T02:11:25.1693934Z   test_rewrite_assert_without_msg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 12), ('fusions_possible', 10), ('unique_graphs', 2)]
2022-11-23T02:11:25.1694037Z ok (0.022s)
2022-11-23T02:11:25.1694455Z   test_rng_state_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1694733Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T02:11:25.1694844Z ok (0.022s)
2022-11-23T02:11:25.1695336Z   test_seq_append_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T02:11:25.1695446Z ok (0.024s)
2022-11-23T02:11:25.1696916Z   test_sigmoid_out_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T02:11:25.1697042Z   torch.sigmoid(inp, out=out1)
2022-11-23T02:11:25.1698226Z /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T02:11:25.1698448Z   return node.target(*args, **kwargs)
2022-11-23T02:11:25.1699159Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T02:11:25.1699241Z   torch.sigmoid(inp, out=out1)
2022-11-23T02:11:25.1699422Z frames [('total', 7), ('ok', 7)]
2022-11-23T02:11:25.1699700Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)]
2022-11-23T02:11:25.1699806Z ok (0.047s)
2022-11-23T02:11:25.1700350Z   test_slice_into_list_mutable_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 30), ('fusions_possible', 29), ('unique_graphs', 1)]
2022-11-23T02:11:25.1700458Z ok (0.046s)
2022-11-23T02:11:25.1700883Z   test_slicing_dynamic_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1701127Z unimplemented [('Dynamic slicing not supported', 2)]
2022-11-23T02:11:25.1701403Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:11:25.1701619Z ok (0.016s)
2022-11-23T02:11:25.1702089Z   test_slicing_dynamic_shape_setitem_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 1)]
2022-11-23T02:11:25.1702325Z unimplemented [('Dynamic slicing not supported', 1)]
2022-11-23T02:11:25.1702556Z graph_break [('Dynamic slicing not supported', 1)]
2022-11-23T02:11:25.1702836Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1702919Z ok (0.013s)
2022-11-23T02:11:25.1703778Z   test_sort_out_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T02:11:25.1703943Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T02:11:25.1705177Z /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T02:11:25.1705333Z   return node.target(*args, **kwargs)
2022-11-23T02:11:25.1706066Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T02:11:25.1706238Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T02:11:25.1706962Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T02:11:25.1707122Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T02:11:25.1707315Z frames [('total', 7), ('ok', 7)]
2022-11-23T02:11:25.1707587Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)]
2022-11-23T02:11:25.1707693Z ok (0.063s)
2022-11-23T02:11:25.1708134Z   test_specialized_stride_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1708418Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1708503Z ok (0.009s)
2022-11-23T02:11:25.1708962Z   test_tensor_isinstance_tuple_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1709238Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1709346Z ok (0.009s)
2022-11-23T02:11:25.1709780Z   test_tokenization_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T02:11:25.1710197Z inline_call [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)]
2022-11-23T02:11:25.1710315Z unimplemented []
2022-11-23T02:11:25.1710646Z graph_break [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)]
2022-11-23T02:11:25.1710730Z ok (0.017s)
2022-11-23T02:11:25.1711241Z   test_torch_ops_aten_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1711349Z ok (0.016s)
2022-11-23T02:11:25.1711872Z   test_vdd_duplicate_error_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T02:11:25.1711979Z ok (0.020s)
2022-11-23T02:11:25.1712422Z   test_while_loop_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1712541Z inline_call []
2022-11-23T02:11:25.1712915Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T02:11:25.1713190Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1713332Z ok (0.012s)
2022-11-23T02:11:25.1713633Z   test_with_on_graph_break_inst_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... Hello world
2022-11-23T02:11:25.1713741Z Hello world
2022-11-23T02:11:25.1713923Z frames [('total', 6), ('ok', 6)]
2022-11-23T02:11:25.1714228Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T02:11:25.1714349Z unimplemented []
2022-11-23T02:11:25.1714701Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2), ('Tensor.backward', 1)]
2022-11-23T02:11:25.1714967Z stats [('calls_captured', 11), ('fusions_possible', 7), ('unique_graphs', 4)]
2022-11-23T02:11:25.1715077Z ok (0.046s)
2022-11-23T02:11:25.1715529Z   test_builtin_functions_on_cuda_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:11:25.1715649Z unimplemented []
2022-11-23T02:11:25.1715874Z graph_break [('construct nn.Module: ReLU', 1)]
2022-11-23T02:11:25.1715993Z inline_call []
2022-11-23T02:11:25.1716271Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1716376Z ok (0.019s)
2022-11-23T02:11:25.1716792Z   test_builtin_getitem_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1717069Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1717181Z ok (0.022s)
2022-11-23T02:11:25.1717609Z   test_builtin_max_min_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1717894Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:25.1717997Z ok (0.014s)
2022-11-23T02:11:25.1718465Z   test_feed_random_values_into_graph_only_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1718742Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:25.1718825Z ok (0.013s)
2022-11-23T02:11:25.1719316Z   test_multiple_consecutive_random_calls_before_graph_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1719584Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1719693Z ok (0.016s)
2022-11-23T02:11:25.1720130Z   test_no_recompilations_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1720491Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1720600Z ok (0.010s)
2022-11-23T02:11:25.1721036Z   test_numpy_correctness_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T02:11:25.1721278Z unimplemented [('reconstruct: ConstantVariable(float64)', 1)]
2022-11-23T02:11:25.1721496Z graph_break [('Tensor.numpy', 2), ('numpy', 2)]
2022-11-23T02:11:25.1721768Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1721872Z ok (0.043s)
2022-11-23T02:11:25.1722329Z   test_random_call_with_while_loop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1722604Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:11:25.1722718Z ok (0.013s)
2022-11-23T02:11:25.1723177Z   test_random_values_with_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T02:11:25.1723274Z unimplemented []
2022-11-23T02:11:25.1723456Z graph_break [('Tensor.item', 2)]
2022-11-23T02:11:25.1723789Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T02:11:25.1723902Z ok (0.035s)
2022-11-23T02:11:25.1724352Z   test_unspec_float_precision_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:25.1724624Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:25.1724729Z ok (0.152s)
2022-11-23T02:11:25.1724757Z 
2022-11-23T02:11:25.1725035Z ----------------------------------------------------------------------
2022-11-23T02:11:25.1725146Z Ran 375 tests in 15.064s
2022-11-23T02:11:25.1725168Z 
2022-11-23T02:11:25.1725312Z OK (skipped=3, expected failures=2)
2022-11-23T02:11:25.1725333Z 
2022-11-23T02:11:25.1725463Z Generating XML reports...
2022-11-23T02:11:25.1726003Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsFunctionTests-20221123021108.xml
2022-11-23T02:11:25.1726516Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsMiscTests-20221123021108.xml
2022-11-23T02:11:25.1727038Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsNNModuleTests-20221123021108.xml
2022-11-23T02:11:25.1727539Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsReproTests-20221123021108.xml
2022-11-23T02:11:25.1728042Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsUnspecTests-20221123021108.xml
2022-11-23T02:11:25.1728066Z 
2022-11-23T02:11:25.1728655Z ##[endgroup]
2022-11-23T02:11:25.1729075Z FINISHED PRINTING LOG FILE of dynamo/test_no_fake_tensors (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_no_fake_tensors_k_3tlyje)
2022-11-23T02:11:25.1729097Z 
2022-11-23T02:11:28.4099396Z Ignoring disabled issues:  []
2022-11-23T02:11:28.4473713Z Running test_xnnpack_integration ... [2022-11-23 02:11:28.446730]
2022-11-23T02:11:28.4474838Z Executing ['/opt/conda/bin/python', '-bb', 'test_xnnpack_integration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:11:28.447143]
2022-11-23T02:11:39.9027668Z 
2022-11-23T02:11:39.9028709Z Expand the folded group to see the log file of test_xnnpack_integration
2022-11-23T02:11:39.9030086Z ##[group]PRINTING LOG FILE of test_xnnpack_integration (/var/lib/jenkins/workspace/test/test-reports/test_xnnpack_integration_f8j770j2)
2022-11-23T02:11:39.9030783Z 
2022-11-23T02:11:39.9030835Z Running tests...
2022-11-23T02:11:39.9031443Z ----------------------------------------------------------------------
2022-11-23T02:11:39.9031990Z Test results will be stored in test-reports/python-unittest/test_xnnpack_integration
2022-11-23T02:11:39.9032580Z   test_conv1d_basic (__main__.TestXNNPACKConv1dTransformPass) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T02:11:39.9033164Z   test_conv1d_with_relu_fc (__main__.TestXNNPACKConv1dTransformPass) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T02:11:39.9033767Z   test_conv2d (__main__.TestXNNPACKOps) ... ok (2.376s)
2022-11-23T02:11:39.9034009Z   test_conv2d_transpose (__main__.TestXNNPACKOps) ... ok (1.105s)
2022-11-23T02:11:39.9034540Z   test_linear (__main__.TestXNNPACKOps) ... skip: Fails on some platforms, see https://github.com/pytorch/pytorch/issues/73488 (0.001s)
2022-11-23T02:11:39.9035031Z   test_linear_1d_input (__main__.TestXNNPACKOps) ... ok (0.078s)
2022-11-23T02:11:39.9035434Z   test_decomposed_linear (__main__.TestXNNPACKRewritePass) ... ok (0.155s)
2022-11-23T02:11:39.9035851Z   test_linear (__main__.TestXNNPACKRewritePass) ... ok (0.760s)
2022-11-23T02:11:39.9036373Z   test_combined_model (__main__.TestXNNPACKSerDes) ... skip: Fails on some platforms, see https://github.com/pytorch/pytorch/issues/73488 (0.006s)
2022-11-23T02:11:39.9037040Z   test_conv2d (__main__.TestXNNPACKSerDes) ... ok (1.688s)
2022-11-23T02:11:39.9037426Z   test_conv2d_transpose (__main__.TestXNNPACKSerDes) ... ok (2.181s)
2022-11-23T02:11:39.9037942Z   test_linear (__main__.TestXNNPACKSerDes) ... skip: Fails on some platforms, see https://github.com/pytorch/pytorch/issues/73488 (0.002s)
2022-11-23T02:11:39.9038269Z 
2022-11-23T02:11:39.9038620Z ----------------------------------------------------------------------
2022-11-23T02:11:39.9038885Z Ran 12 tests in 8.360s
2022-11-23T02:11:39.9039056Z 
2022-11-23T02:11:39.9039172Z OK (skipped=5)
2022-11-23T02:11:39.9039340Z 
2022-11-23T02:11:39.9039469Z Generating XML reports...
2022-11-23T02:11:39.9040063Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKOps-20221123021130.xml
2022-11-23T02:11:39.9040897Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKRewritePass-20221123021130.xml
2022-11-23T02:11:39.9041550Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKSerDes-20221123021130.xml
2022-11-23T02:11:39.9042341Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKConv1dTransformPass-20221123021130.xml
2022-11-23T02:11:39.9042726Z 
2022-11-23T02:11:39.9043116Z ##[endgroup]
2022-11-23T02:11:39.9043684Z FINISHED PRINTING LOG FILE of test_xnnpack_integration (/var/lib/jenkins/workspace/test/test-reports/test_xnnpack_integration_f8j770j2)
2022-11-23T02:11:39.9044015Z 
2022-11-23T02:11:43.2323674Z Ignoring disabled issues:  []
2022-11-23T02:11:43.2698196Z Running dynamo/test_aot_autograd ... [2022-11-23 02:11:43.269092]
2022-11-23T02:11:43.2701159Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_aot_autograd.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:11:43.269673]
2022-11-23T02:11:54.2212974Z 
2022-11-23T02:11:54.2213801Z Expand the folded group to see the log file of dynamo/test_aot_autograd
2022-11-23T02:11:54.2215727Z ##[group]PRINTING LOG FILE of dynamo/test_aot_autograd (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_aot_autograd_yiis1ch5)
2022-11-23T02:11:54.2216088Z 
2022-11-23T02:11:54.2216630Z Running tests...
2022-11-23T02:11:54.2217559Z ----------------------------------------------------------------------
2022-11-23T02:11:54.2218081Z Test results will be stored in test-reports/python-unittest/dynamo.test_aot_autograd
2022-11-23T02:11:54.2218837Z   test_LSTM (__main__.AotAutogradFallbackTests) ... [2022-11-23 02:11:52,591] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of LSTM
2022-11-23T02:11:54.2219702Z ok (7.069s)
2022-11-23T02:11:54.2220219Z   test_call_fn_with_non_const_inputs_aot_safe (__main__.AotAutogradFallbackTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:54.2220786Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T02:11:54.2221101Z inline_call []
2022-11-23T02:11:54.2221525Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:11:54.2221928Z frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:54.2222163Z ok (0.051s)
2022-11-23T02:11:54.2222874Z   test_call_fn_with_non_const_inputs_aot_unsafe (__main__.AotAutogradFallbackTests) ... [2022-11-23 02:11:52,837] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T02:11:54.2223365Z inline_call []
2022-11-23T02:11:54.2223751Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T02:11:54.2224133Z frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:54.2224388Z ok (0.032s)
2022-11-23T02:11:54.2224903Z   test_call_fn_with_non_const_inputs_aot_unsafe_control_flow (__main__.AotAutogradFallbackTests) ... frames [('total', 8), ('ok', 8)]
2022-11-23T02:11:54.2225391Z inline_call [('generic_jump TensorVariable()', 2)]
2022-11-23T02:11:54.2225687Z unimplemented []
2022-11-23T02:11:54.2226216Z graph_break [('generic_jump TensorVariable()', 2)]
2022-11-23T02:11:54.2226678Z stats [('calls_captured', 14), ('unique_graphs', 8), ('fusions_possible', 6)]
2022-11-23T02:11:54.2226994Z ok (0.111s)
2022-11-23T02:11:54.2227632Z   test_mutation (__main__.AotAutogradFallbackTests) ... [2022-11-23 02:11:52,964] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T02:11:54.2228145Z frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:54.2228562Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:54.2228866Z ok (0.016s)
2022-11-23T02:11:54.2229511Z   test_mutation1 (__main__.AotAutogradFallbackTests) ... [2022-11-23 02:11:53,176] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T02:11:54.2230017Z frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:54.2230435Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:11:54.2230742Z ok (0.217s)
2022-11-23T02:11:54.2231182Z   test_negative_testing (__main__.AotAutogradFallbackTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:54.2231696Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:11:54.2231993Z ok (0.015s)
2022-11-23T02:11:54.2232439Z   test_negative_testing_mutation (__main__.AotAutogradFallbackTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:11:54.2233039Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:11:54.2233361Z ok (0.221s)
2022-11-23T02:11:54.2233511Z 
2022-11-23T02:11:54.2233767Z ----------------------------------------------------------------------
2022-11-23T02:11:54.2234083Z Ran 8 tests in 7.734s
2022-11-23T02:11:54.2234252Z 
2022-11-23T02:11:54.2234351Z OK
2022-11-23T02:11:54.2234491Z 
2022-11-23T02:11:54.2234620Z Generating XML reports...
2022-11-23T02:11:54.2235297Z Generated XML report: test-reports/python-unittest/dynamo.test_aot_autograd/TEST-AotAutogradFallbackTests-20221123021145.xml
2022-11-23T02:11:54.2235650Z 
2022-11-23T02:11:54.2236144Z ##[endgroup]
2022-11-23T02:11:54.2236703Z FINISHED PRINTING LOG FILE of dynamo/test_aot_autograd (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_aot_autograd_yiis1ch5)
2022-11-23T02:11:54.2237028Z 
2022-11-23T02:11:57.5742266Z Ignoring disabled issues:  []
2022-11-23T02:11:57.6117899Z Running test_schema_check ... [2022-11-23 02:11:57.611082]
2022-11-23T02:11:57.6119196Z Executing ['/opt/conda/bin/python', '-bb', 'test_schema_check.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:11:57.611547]
2022-11-23T02:28:52.9787074Z 
2022-11-23T02:28:52.9788258Z Expand the folded group to see the log file of test_schema_check
2022-11-23T02:28:52.9789855Z ##[group]PRINTING LOG FILE of test_schema_check (/var/lib/jenkins/workspace/test/test-reports/test_schema_check_460uj7jy)
2022-11-23T02:28:52.9794241Z 
2022-11-23T02:28:52.9794689Z Running tests...
2022-11-23T02:28:52.9798289Z ----------------------------------------------------------------------
2022-11-23T02:28:52.9799176Z Test results will be stored in test-reports/python-unittest/test_schema_check
2022-11-23T02:28:52.9800100Z   test_alias_check_fail_multiple_operators (__main__.TestSchemaCheck) ... ok (0.025s)
2022-11-23T02:28:52.9801158Z   test_alias_check_fail_multiple_operators_centered (__main__.TestSchemaCheck) ... ok (0.003s)
2022-11-23T02:28:52.9801713Z   test_alias_check_fail_outputs_unexpectedly_aliasing (__main__.TestSchemaCheck) ... ok (0.004s)
2022-11-23T02:28:52.9802522Z   test_alias_check_fail_simple (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T02:28:52.9803298Z   test_is_alias_of_basic (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T02:28:52.9803835Z   test_is_alias_of_empty_container (__main__.TestSchemaCheck) ... ok (0.006s)
2022-11-23T02:28:52.9804479Z   test_mutation_check_fail (__main__.TestSchemaCheck) ... ok (0.003s)
2022-11-23T02:28:52.9805229Z   test_mutation_check_fail_multiple_operators (__main__.TestSchemaCheck) ... ok (0.004s)
2022-11-23T02:28:52.9809745Z   test_overlaps_basic (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T02:28:52.9810384Z   test_overlaps_empty_container (__main__.TestSchemaCheck) ... ok (0.003s)
2022-11-23T02:28:52.9811265Z   test_schema_check_mode_empty_list_input (__main__.TestSchemaCheck) ... ok (0.012s)
2022-11-23T02:28:52.9812039Z   test_schema_check_mode_functionality (__main__.TestSchemaCheck) ... ok (0.004s)
2022-11-23T02:28:52.9812841Z   test_schema_check_mode_functionality_aliasing_inputs (__main__.TestSchemaCheck) ... ok (0.003s)
2022-11-23T02:28:52.9813787Z   test_schema_check_mode_functionality_default_replaced (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T02:28:52.9814650Z   test_schema_check_mode_functionality_device_input (__main__.TestSchemaCheck) ... ok (0.008s)
2022-11-23T02:28:52.9815531Z   test_schema_check_mode_functionality_kwarg_tensor (__main__.TestSchemaCheck) ... ok (0.009s)
2022-11-23T02:28:52.9816706Z   test_schema_check_mode_functionality_list_input (__main__.TestSchemaCheck) ... ok (0.004s)
2022-11-23T02:28:52.9817599Z   test_schema_check_mode_functionality_mutable_inputs (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T02:28:52.9818482Z   test_schema_check_mode_functionality_nested_training_op (__main__.TestSchemaCheck) ... ok (0.017s)
2022-11-23T02:28:52.9819356Z   test_schema_check_mode_functionality_training_op (__main__.TestSchemaCheck) ... ok (0.015s)
2022-11-23T02:28:52.9820538Z   test_schema_check_mode_functionality_wildcard_after (__main__.TestSchemaCheck) ... ok (0.003s)
2022-11-23T02:28:52.9821514Z   test_schema_check_mode_functionality_with_multiple_outputs (__main__.TestSchemaCheck) ... ok (0.003s)
2022-11-23T02:28:52.9823668Z   test_schema_check_mode_functionality_with_multiple_outputs_aliasing (__main__.TestSchemaCheck) ... /var/lib/jenkins/workspace/test/test_schema_check.py:276: UserWarning: An output with one or more elements was resized since it had shape [1, 1, 3], which does not match the required output shape [1, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T02:28:52.9825640Z   torch.aminmax(x, dim=0, out=[actual, actual])
2022-11-23T02:28:52.9826154Z ok (0.004s)
2022-11-23T02:28:52.9826841Z   test_schema_check_mode_mutated_aliasing_aliasing_inputs (__main__.TestSchemaCheck) ... ok (0.003s)
2022-11-23T02:28:52.9828956Z   test_schema_check_mode_mutated_aliasing_aliasing_outputs (__main__.TestSchemaCheck) ... /var/lib/jenkins/workspace/test/test_schema_check.py:179: UserWarning: An output with one or more elements was resized since it had shape [1, 1, 3], which does not match the required output shape [1, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T02:28:52.9831407Z   torch.aminmax(x, dim=0, out=[actual, actual])
2022-11-23T02:28:52.9831954Z ok (0.004s)
2022-11-23T02:28:52.9832612Z   test_schema_check_mode_mutated_aliasing_as_strided (__main__.TestSchemaCheck) ... ok (0.003s)
2022-11-23T02:28:52.9833611Z   test_schema_check_mode_mutated_aliasing_multiple_outputs (__main__.TestSchemaCheck) ... ok (0.003s)
2022-11-23T02:28:52.9834529Z   test_schema_check_mode_mutated_aliasing_mutation (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T02:28:52.9835142Z   test_schema_check_mode_mutated_aliasing_none (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T02:28:52.9836007Z   test_schema_check_mode_mutated_aliasing_resize_ (__main__.TestSchemaCheck) ... ok (0.003s)
2022-11-23T02:28:52.9836796Z   test_schema_check_mode_operator_order (__main__.TestSchemaCheck) ... ok (0.008s)
2022-11-23T02:28:52.9837927Z   test_schema_check_mode_operator_order_without_grad (__main__.TestSchemaCheck) ... ok (0.008s)
2022-11-23T02:28:52.9838802Z   test_schema_info_bind_basic (__main__.TestSchemaCheck) ... ok (0.003s)
2022-11-23T02:28:52.9839700Z   test_schema_correctness_H_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:52.9840631Z   test_schema_correctness_H_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:52.9841527Z   test_schema_correctness_H_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9842555Z   test_schema_correctness_H_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:52.9843477Z   test_schema_correctness_H_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.248s)
2022-11-23T02:28:52.9844036Z   test_schema_correctness_H_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9845021Z   test_schema_correctness_H_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9845925Z   test_schema_correctness_H_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9846833Z   test_schema_correctness_H_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9847707Z   test_schema_correctness_H_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9848542Z   test_schema_correctness_H_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:52.9849028Z   test_schema_correctness_H_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9849940Z   test_schema_correctness_H_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9850656Z   test_schema_correctness_T_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:52.9851448Z   test_schema_correctness_T_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:52.9852339Z   test_schema_correctness_T_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:52.9853180Z   test_schema_correctness_T_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:52.9854053Z   test_schema_correctness_T_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:52.9855031Z   test_schema_correctness_T_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:52.9855942Z   test_schema_correctness_T_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:52.9857601Z   test_schema_correctness_T_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:52.9858509Z   test_schema_correctness_T_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:52.9859438Z   test_schema_correctness_T_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:52.9860367Z   test_schema_correctness_T_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:52.9861286Z   test_schema_correctness_T_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:52.9862233Z   test_schema_correctness_T_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:52.9863233Z   test_schema_correctness___getitem___cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:52.9864155Z   test_schema_correctness___getitem___cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:52.9865217Z   test_schema_correctness___getitem___cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:52.9866150Z   test_schema_correctness___getitem___cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:52.9867479Z   test_schema_correctness___getitem___cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:52.9868510Z   test_schema_correctness___getitem___cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:52.9869167Z   test_schema_correctness___getitem___cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:52.9870203Z   test_schema_correctness___getitem___cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:52.9871182Z   test_schema_correctness___getitem___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T02:28:52.9872074Z   test_schema_correctness___getitem___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T02:28:52.9873060Z   test_schema_correctness___getitem___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T02:28:52.9874002Z   test_schema_correctness___getitem___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T02:28:52.9874673Z   test_schema_correctness___getitem___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T02:28:52.9875461Z   test_schema_correctness___radd___cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:52.9876370Z   test_schema_correctness___radd___cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9877397Z   test_schema_correctness___radd___cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:52.9878342Z   test_schema_correctness___radd___cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:52.9879361Z   test_schema_correctness___radd___cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9880290Z   test_schema_correctness___radd___cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9881271Z   test_schema_correctness___radd___cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9882282Z   test_schema_correctness___radd___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:52.9883285Z   test_schema_correctness___radd___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9884107Z   test_schema_correctness___radd___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9884974Z   test_schema_correctness___radd___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9886296Z   test_schema_correctness___radd___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9887118Z   test_schema_correctness___rand___cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9887931Z   test_schema_correctness___rand___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9888874Z   test_schema_correctness___rand___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9889700Z   test_schema_correctness___rand___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9890596Z   test_schema_correctness___rand___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9891396Z   test_schema_correctness___rand___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9892143Z   test_schema_correctness___rdiv___cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:52.9892907Z   test_schema_correctness___rdiv___cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:52.9893685Z   test_schema_correctness___rdiv___cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:52.9894592Z   test_schema_correctness___rdiv___cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:52.9895683Z   test_schema_correctness___rdiv___cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:52.9896983Z   test_schema_correctness___rdiv___cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:52.9897817Z   test_schema_correctness___rdiv___cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:52.9898699Z   test_schema_correctness___rdiv___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:52.9899498Z   test_schema_correctness___rdiv___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:52.9900398Z   test_schema_correctness___rdiv___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:52.9900903Z   test_schema_correctness___rdiv___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:52.9901426Z   test_schema_correctness___rdiv___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:52.9901929Z   test_schema_correctness___rmatmul___cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.613s)
2022-11-23T02:28:52.9902439Z   test_schema_correctness___rmatmul___cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.139s)
2022-11-23T02:28:52.9903033Z   test_schema_correctness___rmatmul___cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.136s)
2022-11-23T02:28:52.9903556Z   test_schema_correctness___rmatmul___cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.135s)
2022-11-23T02:28:52.9904013Z   test_schema_correctness___rmatmul___cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.135s)
2022-11-23T02:28:52.9904472Z   test_schema_correctness___rmod___cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9904984Z   test_schema_correctness___rmod___cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9905552Z   test_schema_correctness___rmod___cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9906044Z   test_schema_correctness___rmod___cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9906493Z   test_schema_correctness___rmod___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9907023Z   test_schema_correctness___rmod___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9907556Z   test_schema_correctness___rmod___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9908658Z   test_schema_correctness___rmod___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9909159Z   test_schema_correctness___rmod___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9909674Z   test_schema_correctness___rmul___cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9910156Z   test_schema_correctness___rmul___cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9910710Z   test_schema_correctness___rmul___cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:52.9911172Z   test_schema_correctness___rmul___cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9911718Z   test_schema_correctness___rmul___cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9912177Z   test_schema_correctness___rmul___cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9912897Z   test_schema_correctness___rmul___cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9913400Z   test_schema_correctness___rmul___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9914049Z   test_schema_correctness___rmul___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9914543Z   test_schema_correctness___rmul___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9915276Z   test_schema_correctness___rmul___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9915829Z   test_schema_correctness___rmul___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9916338Z   test_schema_correctness___ror___cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9916850Z   test_schema_correctness___ror___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9917429Z   test_schema_correctness___ror___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9918043Z   test_schema_correctness___ror___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9918719Z   test_schema_correctness___ror___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9919266Z   test_schema_correctness___ror___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9920566Z   test_schema_correctness___rpow___cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T02:28:52.9921433Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T02:28:52.9921757Z ok (0.117s)
2022-11-23T02:28:52.9922128Z   test_schema_correctness___rpow___cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.119s)
2022-11-23T02:28:52.9922662Z   test_schema_correctness___rpow___cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.120s)
2022-11-23T02:28:52.9923371Z   test_schema_correctness___rpow___cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.116s)
2022-11-23T02:28:52.9924033Z   test_schema_correctness___rpow___cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.116s)
2022-11-23T02:28:52.9924545Z   test_schema_correctness___rpow___cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.116s)
2022-11-23T02:28:52.9925084Z   test_schema_correctness___rpow___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.116s)
2022-11-23T02:28:52.9925583Z   test_schema_correctness___rpow___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.116s)
2022-11-23T02:28:52.9926240Z   test_schema_correctness___rpow___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.116s)
2022-11-23T02:28:52.9926725Z   test_schema_correctness___rpow___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.117s)
2022-11-23T02:28:52.9927173Z   test_schema_correctness___rpow___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.116s)
2022-11-23T02:28:52.9927661Z   test_schema_correctness___rsub___cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9928155Z   test_schema_correctness___rsub___cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:52.9928669Z   test_schema_correctness___rsub___cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:52.9929184Z   test_schema_correctness___rsub___cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9929689Z   test_schema_correctness___rsub___cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9930178Z   test_schema_correctness___rsub___cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9930678Z   test_schema_correctness___rsub___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:52.9931236Z   test_schema_correctness___rsub___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9931742Z   test_schema_correctness___rsub___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9932220Z   test_schema_correctness___rsub___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9932713Z   test_schema_correctness___rsub___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9933209Z   test_schema_correctness___rxor___cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9933707Z   test_schema_correctness___rxor___cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9934179Z   test_schema_correctness___rxor___cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9934669Z   test_schema_correctness___rxor___cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9935161Z   test_schema_correctness___rxor___cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9935640Z   test_schema_correctness___rxor___cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9936672Z   test_schema_correctness__softmax_backward_data_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:52.9937489Z   test_schema_correctness__softmax_backward_data_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:52.9938111Z   test_schema_correctness__softmax_backward_data_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:52.9938648Z   test_schema_correctness__softmax_backward_data_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:52.9939174Z   test_schema_correctness_abs_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:52.9939679Z   test_schema_correctness_abs_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:52.9940187Z   test_schema_correctness_abs_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:52.9940680Z   test_schema_correctness_abs_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:52.9941187Z   test_schema_correctness_abs_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:52.9941685Z   test_schema_correctness_abs_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:52.9942370Z   test_schema_correctness_abs_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:52.9942848Z   test_schema_correctness_abs_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:52.9943344Z   test_schema_correctness_abs_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:52.9943834Z   test_schema_correctness_abs_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:52.9944299Z   test_schema_correctness_abs_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:52.9944790Z   test_schema_correctness_abs_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:52.9945274Z   test_schema_correctness_abs_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:52.9945769Z   test_schema_correctness_acos_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:52.9946257Z   test_schema_correctness_acos_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9946762Z   test_schema_correctness_acos_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:52.9947273Z   test_schema_correctness_acos_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:52.9947930Z   test_schema_correctness_acos_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9948434Z   test_schema_correctness_acos_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9948943Z   test_schema_correctness_acos_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:52.9949445Z   test_schema_correctness_acos_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9949982Z   test_schema_correctness_acos_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9950481Z   test_schema_correctness_acos_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:52.9950976Z   test_schema_correctness_acos_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:52.9951473Z   test_schema_correctness_acos_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:52.9951950Z   test_schema_correctness_acos_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9952454Z   test_schema_correctness_acosh_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9952956Z   test_schema_correctness_acosh_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:52.9953466Z   test_schema_correctness_acosh_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9953964Z   test_schema_correctness_acosh_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:52.9954488Z   test_schema_correctness_acosh_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9954997Z   test_schema_correctness_acosh_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:52.9955485Z   test_schema_correctness_acosh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9955982Z   test_schema_correctness_acosh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9956482Z   test_schema_correctness_acosh_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:52.9956979Z   test_schema_correctness_acosh_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:52.9957456Z   test_schema_correctness_acosh_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:52.9957949Z   test_schema_correctness_acosh_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9958525Z   test_schema_correctness_acosh_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:52.9959024Z   test_schema_correctness_add_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:52.9959508Z   test_schema_correctness_add_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:52.9960017Z   test_schema_correctness_add_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:52.9960837Z   test_schema_correctness_add_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:52.9961483Z   test_schema_correctness_add_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:52.9961979Z   test_schema_correctness_add_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:52.9962483Z   test_schema_correctness_add_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:52.9962993Z   test_schema_correctness_add_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:52.9963464Z   test_schema_correctness_add_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:52.9963951Z   test_schema_correctness_add_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:52.9964538Z   test_schema_correctness_add_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:52.9965037Z   test_schema_correctness_add_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:52.9965500Z   test_schema_correctness_add_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:52.9966005Z   test_schema_correctness_addbmm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:52.9966527Z   test_schema_correctness_addbmm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:52.9967028Z   test_schema_correctness_addbmm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:52.9967538Z   test_schema_correctness_addbmm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:52.9968045Z   test_schema_correctness_addbmm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:52.9968560Z   test_schema_correctness_addcdiv_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:52.9969061Z   test_schema_correctness_addcdiv_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.368s)
2022-11-23T02:28:52.9969582Z   test_schema_correctness_addcdiv_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.060s)
2022-11-23T02:28:52.9970098Z   test_schema_correctness_addcdiv_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:52.9970613Z   test_schema_correctness_addcdiv_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:52.9971122Z   test_schema_correctness_addcdiv_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:52.9971640Z   test_schema_correctness_addcmul_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:52.9972166Z   test_schema_correctness_addcmul_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.854s)
2022-11-23T02:28:52.9972693Z   test_schema_correctness_addcmul_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.603s)
2022-11-23T02:28:52.9973190Z   test_schema_correctness_addcmul_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:52.9973703Z   test_schema_correctness_addcmul_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:52.9974215Z   test_schema_correctness_addcmul_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:52.9974800Z   test_schema_correctness_addcmul_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:52.9975306Z   test_schema_correctness_addcmul_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:52.9975812Z   test_schema_correctness_addcmul_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:52.9977030Z   test_schema_correctness_addcmul_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:52.9977692Z   test_schema_correctness_addcmul_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:52.9978203Z   test_schema_correctness_addmm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:52.9978736Z   test_schema_correctness_addmm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:52.9979296Z   test_schema_correctness_addmm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:52.9979814Z   test_schema_correctness_addmm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:52.9980324Z   test_schema_correctness_addmm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:52.9981006Z   test_schema_correctness_addmm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:52.9981532Z   test_schema_correctness_addmm_decomposed_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:52.9982105Z   test_schema_correctness_addmm_decomposed_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:52.9982690Z   test_schema_correctness_addmm_decomposed_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:52.9983248Z   test_schema_correctness_addmm_decomposed_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:52.9983781Z   test_schema_correctness_addmm_decomposed_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:52.9984319Z   test_schema_correctness_addmm_decomposed_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:52.9984834Z   test_schema_correctness_addmv_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:52.9985352Z   test_schema_correctness_addmv_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:52.9985853Z   test_schema_correctness_addmv_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:52.9986362Z   test_schema_correctness_addmv_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9986861Z   test_schema_correctness_addmv_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9987359Z   test_schema_correctness_addmv_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9987841Z   test_schema_correctness_addr_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:52.9988342Z   test_schema_correctness_addr_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:52.9988855Z   test_schema_correctness_addr_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:52.9989350Z   test_schema_correctness_addr_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:52.9989859Z   test_schema_correctness_addr_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9990362Z   test_schema_correctness_addr_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9990868Z   test_schema_correctness_addr_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9991348Z   test_schema_correctness_addr_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:52.9991985Z   test_schema_correctness_addr_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:52.9992481Z   test_schema_correctness_addr_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:52.9992983Z   test_schema_correctness_addr_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:52.9993454Z   test_schema_correctness_addr_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:52.9993955Z   test_schema_correctness_all_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9994455Z   test_schema_correctness_all_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:52.9995703Z   test_schema_correctness_all_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:275.)
2022-11-23T02:28:52.9996417Z   return self.op(*args, **kwargs)
2022-11-23T02:28:52.9996696Z ok (0.015s)
2022-11-23T02:28:52.9997158Z   test_schema_correctness_all_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:52.9997661Z   test_schema_correctness_all_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9998162Z   test_schema_correctness_all_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9998673Z   test_schema_correctness_all_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9999173Z   test_schema_correctness_all_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:52.9999647Z   test_schema_correctness_all_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0000149Z   test_schema_correctness_all_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0000639Z   test_schema_correctness_all_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0001124Z   test_schema_correctness_all_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0001610Z   test_schema_correctness_allclose_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.0002136Z   test_schema_correctness_allclose_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.0002668Z   test_schema_correctness_allclose_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.0003172Z   test_schema_correctness_allclose_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.0003692Z   test_schema_correctness_allclose_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.0004221Z   test_schema_correctness_allclose_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.0005275Z   test_schema_correctness_amax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0005782Z   test_schema_correctness_amax_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.0006295Z   test_schema_correctness_amax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0006795Z   test_schema_correctness_amax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0007297Z   test_schema_correctness_amax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0007770Z   test_schema_correctness_amax_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0008273Z   test_schema_correctness_amax_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0008868Z   test_schema_correctness_amax_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0009363Z   test_schema_correctness_amax_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0009962Z   test_schema_correctness_amax_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.0010569Z   test_schema_correctness_amin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0011182Z   test_schema_correctness_amin_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0012006Z   test_schema_correctness_amin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0012597Z   test_schema_correctness_amin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0013127Z   test_schema_correctness_amin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0013718Z   test_schema_correctness_amin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0014290Z   test_schema_correctness_amin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0014999Z   test_schema_correctness_amin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.0015526Z   test_schema_correctness_amin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0016380Z   test_schema_correctness_amin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0017388Z   test_schema_correctness_aminmax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0018078Z   test_schema_correctness_aminmax_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0018630Z   test_schema_correctness_aminmax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0019227Z   test_schema_correctness_aminmax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0019817Z   test_schema_correctness_aminmax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0020355Z   test_schema_correctness_aminmax_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0020979Z   test_schema_correctness_aminmax_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0021628Z   test_schema_correctness_aminmax_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0022208Z   test_schema_correctness_aminmax_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0022738Z   test_schema_correctness_aminmax_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0023321Z   test_schema_correctness_angle_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0023962Z   test_schema_correctness_angle_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.270s)
2022-11-23T02:28:53.0024554Z   test_schema_correctness_angle_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0025092Z   test_schema_correctness_angle_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.266s)
2022-11-23T02:28:53.0025681Z   test_schema_correctness_angle_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0026314Z   test_schema_correctness_angle_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0062306Z   test_schema_correctness_angle_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0065119Z   test_schema_correctness_angle_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0066068Z   test_schema_correctness_angle_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0066557Z   test_schema_correctness_angle_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0067069Z   test_schema_correctness_angle_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0067590Z   test_schema_correctness_any_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0068100Z   test_schema_correctness_any_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0068595Z   test_schema_correctness_any_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0069114Z   test_schema_correctness_any_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0069622Z   test_schema_correctness_any_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0070125Z   test_schema_correctness_any_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0070597Z   test_schema_correctness_any_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0071101Z   test_schema_correctness_any_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0071730Z   test_schema_correctness_any_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0072217Z   test_schema_correctness_any_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0072708Z   test_schema_correctness_any_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0073202Z   test_schema_correctness_any_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0073716Z   test_schema_correctness_arange_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.145s)
2022-11-23T02:28:53.0074222Z   test_schema_correctness_arange_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.144s)
2022-11-23T02:28:53.0074738Z   test_schema_correctness_arange_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.145s)
2022-11-23T02:28:53.0075263Z   test_schema_correctness_arange_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.144s)
2022-11-23T02:28:53.0075776Z   test_schema_correctness_arange_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.146s)
2022-11-23T02:28:53.0076260Z   test_schema_correctness_arange_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.146s)
2022-11-23T02:28:53.0076759Z   test_schema_correctness_arange_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.144s)
2022-11-23T02:28:53.0077257Z   test_schema_correctness_arange_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.140s)
2022-11-23T02:28:53.0077737Z   test_schema_correctness_arange_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.139s)
2022-11-23T02:28:53.0078251Z   test_schema_correctness_argmax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0078765Z   test_schema_correctness_argmax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0079273Z   test_schema_correctness_argmax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0079769Z   test_schema_correctness_argmax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0080279Z   test_schema_correctness_argmax_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0080782Z   test_schema_correctness_argmax_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0081283Z   test_schema_correctness_argmax_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0081765Z   test_schema_correctness_argmax_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0082423Z   test_schema_correctness_argmax_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0082929Z   test_schema_correctness_argmin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0083452Z   test_schema_correctness_argmin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0083945Z   test_schema_correctness_argmin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0084458Z   test_schema_correctness_argmin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0084961Z   test_schema_correctness_argmin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0085444Z   test_schema_correctness_argmin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0085959Z   test_schema_correctness_argmin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0086462Z   test_schema_correctness_argmin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0086971Z   test_schema_correctness_argmin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0087567Z   test_schema_correctness_argsort_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.0088100Z   test_schema_correctness_argsort_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0088623Z   test_schema_correctness_argsort_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0089138Z   test_schema_correctness_argsort_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0089627Z   test_schema_correctness_argsort_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0090143Z   test_schema_correctness_argsort_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0090639Z   test_schema_correctness_argsort_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.0091116Z   test_schema_correctness_argsort_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.0091643Z   test_schema_correctness_argsort_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.0092162Z   test_schema_correctness_argwhere_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0092680Z   test_schema_correctness_argwhere_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0093191Z   test_schema_correctness_argwhere_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0093734Z   test_schema_correctness_argwhere_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0094263Z   test_schema_correctness_argwhere_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0094787Z   test_schema_correctness_argwhere_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0095288Z   test_schema_correctness_argwhere_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0095810Z   test_schema_correctness_argwhere_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0097148Z   test_schema_correctness_argwhere_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0097778Z   test_schema_correctness_argwhere_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0098290Z   test_schema_correctness_argwhere_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0098804Z   test_schema_correctness_argwhere_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0099545Z   test_schema_correctness_as_strided_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0100056Z   test_schema_correctness_as_strided_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0100591Z   test_schema_correctness_as_strided_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0101127Z   test_schema_correctness_as_strided_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0101657Z   test_schema_correctness_as_strided_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0102157Z   test_schema_correctness_as_strided_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0102683Z   test_schema_correctness_as_strided_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0103204Z   test_schema_correctness_as_strided_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0103710Z   test_schema_correctness_as_strided_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0104206Z   test_schema_correctness_as_strided_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0104811Z   test_schema_correctness_as_strided_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0105341Z   test_schema_correctness_as_strided_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0105835Z   test_schema_correctness_as_strided_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0106367Z   test_schema_correctness_as_strided_scatter_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0106983Z   test_schema_correctness_as_strided_scatter_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0107529Z   test_schema_correctness_as_strided_scatter_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0108135Z   test_schema_correctness_as_strided_scatter_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0108683Z   test_schema_correctness_as_strided_scatter_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0109230Z   test_schema_correctness_as_strided_scatter_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0109769Z   test_schema_correctness_as_strided_scatter_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0110291Z   test_schema_correctness_as_strided_scatter_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0110833Z   test_schema_correctness_as_strided_scatter_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0111375Z   test_schema_correctness_as_strided_scatter_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0111911Z   test_schema_correctness_as_strided_scatter_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0112429Z   test_schema_correctness_as_strided_scatter_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0112965Z   test_schema_correctness_as_strided_scatter_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0113485Z   test_schema_correctness_asin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0113995Z   test_schema_correctness_asin_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0114495Z   test_schema_correctness_asin_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0115099Z   test_schema_correctness_asin_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0115614Z   test_schema_correctness_asin_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0116102Z   test_schema_correctness_asin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0116612Z   test_schema_correctness_asin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0117111Z   test_schema_correctness_asin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0117612Z   test_schema_correctness_asin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0118085Z   test_schema_correctness_asin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0118576Z   test_schema_correctness_asin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0119072Z   test_schema_correctness_asin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0119574Z   test_schema_correctness_asin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0120060Z   test_schema_correctness_asinh_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0120629Z   test_schema_correctness_asinh_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0121153Z   test_schema_correctness_asinh_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0121700Z   test_schema_correctness_asinh_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0122227Z   test_schema_correctness_asinh_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0122747Z   test_schema_correctness_asinh_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0123255Z   test_schema_correctness_asinh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0123730Z   test_schema_correctness_asinh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0124236Z   test_schema_correctness_asinh_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0124736Z   test_schema_correctness_asinh_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0125240Z   test_schema_correctness_asinh_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0125718Z   test_schema_correctness_asinh_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0126220Z   test_schema_correctness_asinh_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0126728Z   test_schema_correctness_atan2_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0127219Z   test_schema_correctness_atan2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0127771Z   test_schema_correctness_atan2_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0128278Z   test_schema_correctness_atan2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0128773Z   test_schema_correctness_atan2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0129246Z   test_schema_correctness_atan2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0129755Z   test_schema_correctness_atan2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0130268Z   test_schema_correctness_atan2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0130762Z   test_schema_correctness_atan2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0131348Z   test_schema_correctness_atan2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0131864Z   test_schema_correctness_atan_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0132372Z   test_schema_correctness_atan_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0132868Z   test_schema_correctness_atan_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0133397Z   test_schema_correctness_atan_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0133917Z   test_schema_correctness_atan_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0134436Z   test_schema_correctness_atan_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0134933Z   test_schema_correctness_atan_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0135452Z   test_schema_correctness_atan_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0135961Z   test_schema_correctness_atan_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0137450Z   test_schema_correctness_atan_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0137969Z   test_schema_correctness_atan_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0138471Z   test_schema_correctness_atan_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0138969Z   test_schema_correctness_atan_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0139483Z   test_schema_correctness_atanh_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0139973Z   test_schema_correctness_atanh_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0140492Z   test_schema_correctness_atanh_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0141007Z   test_schema_correctness_atanh_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0141509Z   test_schema_correctness_atanh_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0142020Z   test_schema_correctness_atanh_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0142530Z   test_schema_correctness_atanh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0143019Z   test_schema_correctness_atanh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0143494Z   test_schema_correctness_atanh_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0144001Z   test_schema_correctness_atanh_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0144496Z   test_schema_correctness_atanh_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0145030Z   test_schema_correctness_atanh_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0145470Z   test_schema_correctness_atanh_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0145987Z   test_schema_correctness_atleast_1d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0146506Z   test_schema_correctness_atleast_1d_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0147011Z   test_schema_correctness_atleast_1d_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0147550Z   test_schema_correctness_atleast_1d_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0148248Z   test_schema_correctness_atleast_1d_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0148767Z   test_schema_correctness_atleast_1d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0149265Z   test_schema_correctness_atleast_1d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0149797Z   test_schema_correctness_atleast_1d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0150306Z   test_schema_correctness_atleast_1d_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0150822Z   test_schema_correctness_atleast_1d_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0151308Z   test_schema_correctness_atleast_1d_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0151827Z   test_schema_correctness_atleast_1d_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0152344Z   test_schema_correctness_atleast_1d_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0152862Z   test_schema_correctness_atleast_2d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0153439Z   test_schema_correctness_atleast_2d_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0153965Z   test_schema_correctness_atleast_2d_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0154493Z   test_schema_correctness_atleast_2d_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0154995Z   test_schema_correctness_atleast_2d_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0155517Z   test_schema_correctness_atleast_2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0156044Z   test_schema_correctness_atleast_2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0156559Z   test_schema_correctness_atleast_2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0157046Z   test_schema_correctness_atleast_2d_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0157563Z   test_schema_correctness_atleast_2d_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0158074Z   test_schema_correctness_atleast_2d_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0158587Z   test_schema_correctness_atleast_2d_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0159074Z   test_schema_correctness_atleast_2d_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0159589Z   test_schema_correctness_atleast_3d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0160116Z   test_schema_correctness_atleast_3d_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0160621Z   test_schema_correctness_atleast_3d_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0161157Z   test_schema_correctness_atleast_3d_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0161690Z   test_schema_correctness_atleast_3d_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0162211Z   test_schema_correctness_atleast_3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0162708Z   test_schema_correctness_atleast_3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0163225Z   test_schema_correctness_atleast_3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0163859Z   test_schema_correctness_atleast_3d_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0164371Z   test_schema_correctness_atleast_3d_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0164870Z   test_schema_correctness_atleast_3d_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0165408Z   test_schema_correctness_atleast_3d_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0165929Z   test_schema_correctness_atleast_3d_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0166444Z   test_schema_correctness_baddbmm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0166976Z   test_schema_correctness_baddbmm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0167547Z   test_schema_correctness_baddbmm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.0168088Z   test_schema_correctness_baddbmm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0168577Z   test_schema_correctness_baddbmm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0169157Z   test_schema_correctness_baddbmm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0169690Z   test_schema_correctness_bernoulli_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0170210Z   test_schema_correctness_bernoulli_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0170707Z   test_schema_correctness_bernoulli_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0171220Z   test_schema_correctness_bernoulli_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0171739Z   test_schema_correctness_bfloat16_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0172257Z   test_schema_correctness_bfloat16_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0172758Z   test_schema_correctness_bfloat16_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0173301Z   test_schema_correctness_bfloat16_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0173814Z   test_schema_correctness_bfloat16_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0174327Z   test_schema_correctness_bfloat16_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0174827Z   test_schema_correctness_bfloat16_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0175335Z   test_schema_correctness_bfloat16_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0175852Z   test_schema_correctness_bfloat16_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0177010Z   test_schema_correctness_bfloat16_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0177660Z   test_schema_correctness_bfloat16_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0178169Z   test_schema_correctness_bfloat16_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0178675Z   test_schema_correctness_bfloat16_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0179161Z   test_schema_correctness_bincount_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0179676Z   test_schema_correctness_bincount_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0180176Z   test_schema_correctness_bincount_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0180948Z   test_schema_correctness_bincount_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0181437Z   test_schema_correctness_bincount_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0181966Z   test_schema_correctness_bitwise_and_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0182491Z   test_schema_correctness_bitwise_and_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0183005Z   test_schema_correctness_bitwise_and_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0183499Z   test_schema_correctness_bitwise_and_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0184012Z   test_schema_correctness_bitwise_and_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0184529Z   test_schema_correctness_bitwise_and_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0185029Z   test_schema_correctness_bitwise_left_shift_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0185583Z   test_schema_correctness_bitwise_left_shift_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0186213Z   test_schema_correctness_bitwise_left_shift_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0186758Z   test_schema_correctness_bitwise_left_shift_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0187268Z   test_schema_correctness_bitwise_left_shift_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0187784Z   test_schema_correctness_bitwise_not_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0188294Z   test_schema_correctness_bitwise_not_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0188818Z   test_schema_correctness_bitwise_not_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0189310Z   test_schema_correctness_bitwise_not_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0189836Z   test_schema_correctness_bitwise_not_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0190352Z   test_schema_correctness_bitwise_not_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0190860Z   test_schema_correctness_bitwise_or_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0191351Z   test_schema_correctness_bitwise_or_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0191863Z   test_schema_correctness_bitwise_or_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0192382Z   test_schema_correctness_bitwise_or_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0192865Z   test_schema_correctness_bitwise_or_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0193371Z   test_schema_correctness_bitwise_or_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0193904Z   test_schema_correctness_bitwise_right_shift_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0194446Z   test_schema_correctness_bitwise_right_shift_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0194969Z   test_schema_correctness_bitwise_right_shift_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0195510Z   test_schema_correctness_bitwise_right_shift_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0196045Z   test_schema_correctness_bitwise_right_shift_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0196659Z   test_schema_correctness_bitwise_xor_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0197155Z   test_schema_correctness_bitwise_xor_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0197680Z   test_schema_correctness_bitwise_xor_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0198188Z   test_schema_correctness_bitwise_xor_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0198706Z   test_schema_correctness_bitwise_xor_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0199197Z   test_schema_correctness_bitwise_xor_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0199714Z   test_schema_correctness_block_diag_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0200245Z   test_schema_correctness_block_diag_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0200749Z   test_schema_correctness_block_diag_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0201285Z   test_schema_correctness_block_diag_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0201879Z   test_schema_correctness_block_diag_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0202418Z   test_schema_correctness_block_diag_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0202918Z   test_schema_correctness_block_diag_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0203438Z   test_schema_correctness_block_diag_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0203956Z   test_schema_correctness_block_diag_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0204473Z   test_schema_correctness_block_diag_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0204971Z   test_schema_correctness_block_diag_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0205502Z   test_schema_correctness_block_diag_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0206031Z   test_schema_correctness_block_diag_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0206535Z   test_schema_correctness_bmm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0207051Z   test_schema_correctness_bmm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0207613Z   test_schema_correctness_bmm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0208125Z   test_schema_correctness_bmm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0208613Z   test_schema_correctness_bmm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0209114Z   test_schema_correctness_bool_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0209633Z   test_schema_correctness_bool_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0210148Z   test_schema_correctness_bool_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0210655Z   test_schema_correctness_bool_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0211174Z   test_schema_correctness_bool_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.060s)
2022-11-23T02:28:53.0211694Z   test_schema_correctness_bool_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0212314Z   test_schema_correctness_bool_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0212800Z   test_schema_correctness_bool_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0213306Z   test_schema_correctness_bool_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0213812Z   test_schema_correctness_bool_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0214298Z   test_schema_correctness_bool_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0214792Z   test_schema_correctness_bool_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0215294Z   test_schema_correctness_bool_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0215823Z   test_schema_correctness_broadcast_shapes_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0216779Z   test_schema_correctness_broadcast_tensors_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0217311Z   test_schema_correctness_broadcast_tensors_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0218031Z   test_schema_correctness_broadcast_tensors_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0218594Z   test_schema_correctness_broadcast_tensors_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0219116Z   test_schema_correctness_broadcast_tensors_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0219673Z   test_schema_correctness_broadcast_tensors_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0220220Z   test_schema_correctness_broadcast_tensors_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0220764Z   test_schema_correctness_broadcast_tensors_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0221324Z   test_schema_correctness_broadcast_tensors_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0221859Z   test_schema_correctness_broadcast_tensors_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0222400Z   test_schema_correctness_broadcast_tensors_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0222912Z   test_schema_correctness_broadcast_tensors_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0223445Z   test_schema_correctness_broadcast_to_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.0223968Z   test_schema_correctness_broadcast_to_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.0224501Z   test_schema_correctness_broadcast_to_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.0225028Z   test_schema_correctness_broadcast_to_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.0225565Z   test_schema_correctness_broadcast_to_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.0226109Z   test_schema_correctness_broadcast_to_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.0226630Z   test_schema_correctness_broadcast_to_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.0227123Z   test_schema_correctness_broadcast_to_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.0227646Z   test_schema_correctness_broadcast_to_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.0228160Z   test_schema_correctness_broadcast_to_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.0228826Z   test_schema_correctness_broadcast_to_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.0229322Z   test_schema_correctness_broadcast_to_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.0229846Z   test_schema_correctness_bucketize_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.0230356Z   test_schema_correctness_bucketize_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.0230857Z   test_schema_correctness_bucketize_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.0231377Z   test_schema_correctness_bucketize_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T02:28:53.0231888Z   test_schema_correctness_bucketize_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.0232398Z   test_schema_correctness_bucketize_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.0232896Z   test_schema_correctness_bucketize_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.0233413Z   test_schema_correctness_bucketize_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T02:28:53.0233998Z   test_schema_correctness_byte_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0234509Z   test_schema_correctness_byte_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0234999Z   test_schema_correctness_byte_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0235512Z   test_schema_correctness_byte_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0236021Z   test_schema_correctness_byte_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0236533Z   test_schema_correctness_byte_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.060s)
2022-11-23T02:28:53.0237016Z   test_schema_correctness_byte_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0237525Z   test_schema_correctness_byte_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0238025Z   test_schema_correctness_byte_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0238498Z   test_schema_correctness_byte_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0239000Z   test_schema_correctness_byte_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0239497Z   test_schema_correctness_byte_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0240014Z   test_schema_correctness_cartesian_prod_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.064s)
2022-11-23T02:28:53.0240542Z   test_schema_correctness_cartesian_prod_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T02:28:53.0241100Z   test_schema_correctness_cartesian_prod_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.066s)
2022-11-23T02:28:53.0241649Z   test_schema_correctness_cartesian_prod_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.066s)
2022-11-23T02:28:53.0242207Z   test_schema_correctness_cartesian_prod_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.064s)
2022-11-23T02:28:53.0242726Z   test_schema_correctness_cartesian_prod_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T02:28:53.0243255Z   test_schema_correctness_cartesian_prod_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.064s)
2022-11-23T02:28:53.0243791Z   test_schema_correctness_cartesian_prod_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.064s)
2022-11-23T02:28:53.0244301Z   test_schema_correctness_cartesian_prod_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.064s)
2022-11-23T02:28:53.0244929Z   test_schema_correctness_cartesian_prod_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T02:28:53.0245460Z   test_schema_correctness_cartesian_prod_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.064s)
2022-11-23T02:28:53.0246023Z   test_schema_correctness_cartesian_prod_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.064s)
2022-11-23T02:28:53.0246501Z   test_schema_correctness_cat_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0247013Z   test_schema_correctness_cat_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0247523Z   test_schema_correctness_cat_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0248038Z   test_schema_correctness_cat_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0248528Z   test_schema_correctness_cat_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0249049Z   test_schema_correctness_cat_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0249556Z   test_schema_correctness_cat_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0250144Z   test_schema_correctness_cat_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0250621Z   test_schema_correctness_cat_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0251115Z   test_schema_correctness_cat_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0251605Z   test_schema_correctness_cat_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0252074Z   test_schema_correctness_cat_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0252578Z   test_schema_correctness_cat_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0253082Z   test_schema_correctness_cdist_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.413s)
2022-11-23T02:28:53.0253590Z   test_schema_correctness_cdist_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.411s)
2022-11-23T02:28:53.0254086Z   test_schema_correctness_cdouble_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0254623Z   test_schema_correctness_cdouble_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0255143Z   test_schema_correctness_cdouble_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0255677Z   test_schema_correctness_cdouble_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0256703Z   test_schema_correctness_cdouble_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0257649Z   test_schema_correctness_cdouble_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0258279Z   test_schema_correctness_cdouble_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0258778Z   test_schema_correctness_cdouble_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0259294Z   test_schema_correctness_cdouble_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0259791Z   test_schema_correctness_cdouble_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.060s)
2022-11-23T02:28:53.0260285Z   test_schema_correctness_cdouble_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0260760Z   test_schema_correctness_cdouble_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0261272Z   test_schema_correctness_cdouble_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0262039Z   test_schema_correctness_ceil_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0262542Z   test_schema_correctness_ceil_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0263024Z   test_schema_correctness_ceil_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0263534Z   test_schema_correctness_ceil_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0264032Z   test_schema_correctness_ceil_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0264502Z   test_schema_correctness_ceil_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0264996Z   test_schema_correctness_ceil_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0265489Z   test_schema_correctness_ceil_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0265995Z   test_schema_correctness_ceil_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0266487Z   test_schema_correctness_cfloat_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.060s)
2022-11-23T02:28:53.0267097Z   test_schema_correctness_cfloat_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0267636Z   test_schema_correctness_cfloat_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0268157Z   test_schema_correctness_cfloat_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0268654Z   test_schema_correctness_cfloat_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0269217Z   test_schema_correctness_cfloat_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0269727Z   test_schema_correctness_cfloat_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0270221Z   test_schema_correctness_cfloat_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0270734Z   test_schema_correctness_cfloat_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0271247Z   test_schema_correctness_cfloat_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0271743Z   test_schema_correctness_cfloat_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0272224Z   test_schema_correctness_cfloat_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0272729Z   test_schema_correctness_cfloat_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0274072Z   test_schema_correctness_chalf_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_methods_invocations.py:14387: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T02:28:53.0274878Z   op=lambda x, *args, **kwargs: x.chalf(*args, **kwargs),
2022-11-23T02:28:53.0275146Z ok (0.076s)
2022-11-23T02:28:53.0275535Z   test_schema_correctness_chalf_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.0276058Z   test_schema_correctness_chalf_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.073s)
2022-11-23T02:28:53.0276584Z   test_schema_correctness_chalf_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0277088Z   test_schema_correctness_chalf_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.0277598Z   test_schema_correctness_chalf_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.0278197Z   test_schema_correctness_chalf_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.0278691Z   test_schema_correctness_chalf_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.0279162Z   test_schema_correctness_chalf_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.0279674Z   test_schema_correctness_chalf_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.0280183Z   test_schema_correctness_chalf_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.073s)
2022-11-23T02:28:53.0280658Z   test_schema_correctness_chalf_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.0281168Z   test_schema_correctness_chalf_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.0281677Z   test_schema_correctness_char_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0282184Z   test_schema_correctness_char_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0282672Z   test_schema_correctness_char_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0283188Z   test_schema_correctness_char_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0283773Z   test_schema_correctness_char_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0284297Z   test_schema_correctness_char_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0284779Z   test_schema_correctness_char_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0285292Z   test_schema_correctness_char_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0285796Z   test_schema_correctness_char_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0286282Z   test_schema_correctness_char_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0286771Z   test_schema_correctness_char_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0287267Z   test_schema_correctness_char_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0287768Z   test_schema_correctness_char_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0288926Z   test_schema_correctness_cholesky_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: torch.cholesky is deprecated in favor of torch.linalg.cholesky and will be removed in a future PyTorch release.
2022-11-23T02:28:53.0289593Z L = torch.cholesky(A)
2022-11-23T02:28:53.0289866Z should be replaced with
2022-11-23T02:28:53.0290158Z L = torch.linalg.cholesky(A)
2022-11-23T02:28:53.0290401Z and
2022-11-23T02:28:53.0290658Z U = torch.cholesky(A, upper=True)
2022-11-23T02:28:53.0290954Z should be replaced with
2022-11-23T02:28:53.0291228Z U = torch.linalg.cholesky(A).mH().
2022-11-23T02:28:53.0291796Z This transform will produce equivalent results for all valid (symmetric positive definite) inputs. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:1729.)
2022-11-23T02:28:53.0292318Z   return self.op(*args, **kwargs)
2022-11-23T02:28:53.0292562Z ok (0.295s)
2022-11-23T02:28:53.0292969Z   test_schema_correctness_cholesky_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0293509Z   test_schema_correctness_cholesky_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0294042Z   test_schema_correctness_cholesky_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0294560Z   test_schema_correctness_cholesky_inverse_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.234s)
2022-11-23T02:28:53.0295212Z   test_schema_correctness_cholesky_inverse_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0295764Z   test_schema_correctness_cholesky_inverse_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0296732Z   test_schema_correctness_cholesky_inverse_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0297236Z   test_schema_correctness_cholesky_solve_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T02:28:53.0297778Z   test_schema_correctness_cholesky_solve_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0298319Z   test_schema_correctness_cholesky_solve_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0298830Z   test_schema_correctness_cholesky_solve_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0299367Z   test_schema_correctness_chunk_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0299881Z   test_schema_correctness_chunk_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0300570Z   test_schema_correctness_chunk_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0301078Z   test_schema_correctness_chunk_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0301604Z   test_schema_correctness_chunk_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0302123Z   test_schema_correctness_chunk_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0302637Z   test_schema_correctness_chunk_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0303110Z   test_schema_correctness_chunk_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0303633Z   test_schema_correctness_chunk_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0304138Z   test_schema_correctness_chunk_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0304620Z   test_schema_correctness_chunk_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0305126Z   test_schema_correctness_chunk_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0305623Z   test_schema_correctness_chunk_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0306134Z   test_schema_correctness_clamp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0306631Z   test_schema_correctness_clamp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0307144Z   test_schema_correctness_clamp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0307646Z   test_schema_correctness_clamp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0308138Z   test_schema_correctness_clamp_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0308629Z   test_schema_correctness_clamp_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0309135Z   test_schema_correctness_clamp_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0309649Z   test_schema_correctness_clamp_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0310150Z   test_schema_correctness_clamp_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0310655Z   test_schema_correctness_clamp_max_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0311325Z   test_schema_correctness_clamp_max_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0311845Z   test_schema_correctness_clamp_max_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0312351Z   test_schema_correctness_clamp_max_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0312879Z   test_schema_correctness_clamp_max_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0313393Z   test_schema_correctness_clamp_max_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0313907Z   test_schema_correctness_clamp_max_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0314402Z   test_schema_correctness_clamp_max_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0314915Z   test_schema_correctness_clamp_max_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0315436Z   test_schema_correctness_clamp_max_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0315955Z   test_schema_correctness_clamp_min_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0316530Z   test_schema_correctness_clamp_min_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0317055Z   test_schema_correctness_clamp_min_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0317570Z   test_schema_correctness_clamp_min_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0318068Z   test_schema_correctness_clamp_min_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0318574Z   test_schema_correctness_clamp_min_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0319080Z   test_schema_correctness_clamp_min_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0319591Z   test_schema_correctness_clamp_min_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0320081Z   test_schema_correctness_clamp_min_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0320592Z   test_schema_correctness_clamp_min_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0321099Z   test_schema_correctness_clone_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0321695Z   test_schema_correctness_clone_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0322188Z   test_schema_correctness_clone_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0322701Z   test_schema_correctness_clone_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0323225Z   test_schema_correctness_clone_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0323733Z   test_schema_correctness_clone_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0324221Z   test_schema_correctness_clone_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0324721Z   test_schema_correctness_clone_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0325218Z   test_schema_correctness_clone_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0325690Z   test_schema_correctness_clone_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0326186Z   test_schema_correctness_clone_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0326689Z   test_schema_correctness_clone_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0327299Z   test_schema_correctness_clone_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0327795Z   test_schema_correctness_column_stack_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0328322Z   test_schema_correctness_column_stack_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0328853Z   test_schema_correctness_column_stack_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0329392Z   test_schema_correctness_column_stack_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0329900Z   test_schema_correctness_column_stack_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0330418Z   test_schema_correctness_column_stack_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0330933Z   test_schema_correctness_column_stack_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0331433Z   test_schema_correctness_column_stack_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0331938Z   test_schema_correctness_column_stack_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0332526Z   test_schema_correctness_column_stack_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0333049Z   test_schema_correctness_column_stack_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0333541Z   test_schema_correctness_column_stack_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0334055Z   test_schema_correctness_column_stack_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0334577Z   test_schema_correctness_combinations_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.550s)
2022-11-23T02:28:53.0335112Z   test_schema_correctness_combinations_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.551s)
2022-11-23T02:28:53.0335628Z   test_schema_correctness_combinations_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.560s)
2022-11-23T02:28:53.0336805Z   test_schema_correctness_combinations_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.560s)
2022-11-23T02:28:53.0337786Z   test_schema_correctness_combinations_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.549s)
2022-11-23T02:28:53.0338394Z   test_schema_correctness_combinations_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.549s)
2022-11-23T02:28:53.0338894Z   test_schema_correctness_combinations_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.549s)
2022-11-23T02:28:53.0339435Z   test_schema_correctness_combinations_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.549s)
2022-11-23T02:28:53.0339961Z   test_schema_correctness_combinations_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.548s)
2022-11-23T02:28:53.0340464Z   test_schema_correctness_combinations_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.546s)
2022-11-23T02:28:53.0340979Z   test_schema_correctness_combinations_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.548s)
2022-11-23T02:28:53.0341514Z   test_schema_correctness_combinations_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.548s)
2022-11-23T02:28:53.0342034Z   test_schema_correctness_complex_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0342533Z   test_schema_correctness_complex_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0343045Z   test_schema_correctness_complex_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0343552Z   test_schema_correctness_conj_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0344254Z   test_schema_correctness_conj_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0344743Z   test_schema_correctness_conj_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0345260Z   test_schema_correctness_conj_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0345779Z   test_schema_correctness_conj_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0346285Z   test_schema_correctness_conj_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0346769Z   test_schema_correctness_conj_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0347276Z   test_schema_correctness_conj_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0347766Z   test_schema_correctness_conj_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0348248Z   test_schema_correctness_conj_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0348734Z   test_schema_correctness_conj_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0349233Z   test_schema_correctness_conj_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0349865Z   test_schema_correctness_conj_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0350368Z   test_schema_correctness_conj_physical_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0350900Z   test_schema_correctness_conj_physical_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0351431Z   test_schema_correctness_conj_physical_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0351975Z   test_schema_correctness_conj_physical_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0352497Z   test_schema_correctness_conj_physical_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0353030Z   test_schema_correctness_conj_physical_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0353564Z   test_schema_correctness_conj_physical_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0354093Z   test_schema_correctness_conj_physical_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0354590Z   test_schema_correctness_conj_physical_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0355114Z   test_schema_correctness_conj_physical_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0355636Z   test_schema_correctness_conj_physical_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0356139Z   test_schema_correctness_conj_physical_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0356664Z   test_schema_correctness_conj_physical_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0357200Z   test_schema_correctness_constant_pad_nd_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.054s)
2022-11-23T02:28:53.0357735Z   test_schema_correctness_constant_pad_nd_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0358253Z   test_schema_correctness_constant_pad_nd_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T02:28:53.0358809Z   test_schema_correctness_constant_pad_nd_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T02:28:53.0359347Z   test_schema_correctness_constant_pad_nd_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0359966Z   test_schema_correctness_constant_pad_nd_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0360480Z   test_schema_correctness_constant_pad_nd_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0361010Z   test_schema_correctness_constant_pad_nd_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0361540Z   test_schema_correctness_constant_pad_nd_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0362065Z   test_schema_correctness_constant_pad_nd_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0362571Z   test_schema_correctness_constant_pad_nd_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0363105Z   test_schema_correctness_constant_pad_nd_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0363636Z   test_schema_correctness_contiguous_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0364149Z   test_schema_correctness_contiguous_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0364676Z   test_schema_correctness_contiguous_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0365307Z   test_schema_correctness_contiguous_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0365847Z   test_schema_correctness_contiguous_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0366354Z   test_schema_correctness_contiguous_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0366882Z   test_schema_correctness_contiguous_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0367399Z   test_schema_correctness_contiguous_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0367923Z   test_schema_correctness_contiguous_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0368418Z   test_schema_correctness_contiguous_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0368989Z   test_schema_correctness_contiguous_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0369512Z   test_schema_correctness_contiguous_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0370026Z   test_schema_correctness_contiguous_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0370537Z   test_schema_correctness_copysign_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0371054Z   test_schema_correctness_copysign_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0371558Z   test_schema_correctness_copysign_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0372058Z   test_schema_correctness_copysign_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0372574Z   test_schema_correctness_copysign_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0373102Z   test_schema_correctness_copysign_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0373615Z   test_schema_correctness_copysign_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0374106Z   test_schema_correctness_copysign_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0374610Z   test_schema_correctness_copysign_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0375115Z   test_schema_correctness_copysign_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0375624Z   test_schema_correctness_corrcoef_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.222s)
2022-11-23T02:28:53.0376603Z   test_schema_correctness_corrcoef_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0377174Z   test_schema_correctness_corrcoef_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.0377727Z   test_schema_correctness_corrcoef_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.220s)
2022-11-23T02:28:53.0378244Z   test_schema_correctness_corrcoef_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.220s)
2022-11-23T02:28:53.0378736Z   test_schema_correctness_corrcoef_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.221s)
2022-11-23T02:28:53.0379247Z   test_schema_correctness_corrcoef_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.220s)
2022-11-23T02:28:53.0379751Z   test_schema_correctness_corrcoef_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.220s)
2022-11-23T02:28:53.0380239Z   test_schema_correctness_corrcoef_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.220s)
2022-11-23T02:28:53.0380744Z   test_schema_correctness_corrcoef_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.220s)
2022-11-23T02:28:53.0381245Z   test_schema_correctness_corrcoef_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.220s)
2022-11-23T02:28:53.0381922Z   test_schema_correctness_cos_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0382411Z   test_schema_correctness_cos_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0382903Z   test_schema_correctness_cos_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0383406Z   test_schema_correctness_cos_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0383907Z   test_schema_correctness_cos_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0384387Z   test_schema_correctness_cos_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0384881Z   test_schema_correctness_cos_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0385381Z   test_schema_correctness_cos_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0385854Z   test_schema_correctness_cos_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0386349Z   test_schema_correctness_cos_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0386832Z   test_schema_correctness_cos_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0387319Z   test_schema_correctness_cos_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0387796Z   test_schema_correctness_cos_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0388304Z   test_schema_correctness_cosh_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0388796Z   test_schema_correctness_cosh_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0389296Z   test_schema_correctness_cosh_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0389795Z   test_schema_correctness_cosh_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0390306Z   test_schema_correctness_cosh_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0390806Z   test_schema_correctness_cosh_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0391288Z   test_schema_correctness_cosh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0391783Z   test_schema_correctness_cosh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0392442Z   test_schema_correctness_cosh_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0392931Z   test_schema_correctness_cosh_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0393399Z   test_schema_correctness_cosh_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0393892Z   test_schema_correctness_cosh_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0394385Z   test_schema_correctness_cosh_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0394900Z   test_schema_correctness_count_nonzero_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0395407Z   test_schema_correctness_count_nonzero_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0395931Z   test_schema_correctness_count_nonzero_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.0396464Z   test_schema_correctness_count_nonzero_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.0396993Z   test_schema_correctness_count_nonzero_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0397568Z   test_schema_correctness_count_nonzero_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0398100Z   test_schema_correctness_count_nonzero_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0398616Z   test_schema_correctness_count_nonzero_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.0399113Z   test_schema_correctness_count_nonzero_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0399623Z   test_schema_correctness_count_nonzero_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0400143Z   test_schema_correctness_count_nonzero_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0400657Z   test_schema_correctness_count_nonzero_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0401153Z   test_schema_correctness_cov_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.248s)
2022-11-23T02:28:53.0401684Z   test_schema_correctness_cov_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0402228Z   test_schema_correctness_cov_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.0402740Z   test_schema_correctness_cov_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.252s)
2022-11-23T02:28:53.0403216Z   test_schema_correctness_cov_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.249s)
2022-11-23T02:28:53.0403712Z   test_schema_correctness_cov_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.251s)
2022-11-23T02:28:53.0404214Z   test_schema_correctness_cov_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.248s)
2022-11-23T02:28:53.0404679Z   test_schema_correctness_cov_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.246s)
2022-11-23T02:28:53.0405171Z   test_schema_correctness_cov_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.243s)
2022-11-23T02:28:53.0405659Z   test_schema_correctness_cov_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.248s)
2022-11-23T02:28:53.0406164Z   test_schema_correctness_cov_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.253s)
2022-11-23T02:28:53.0406646Z   test_schema_correctness_cross_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0407166Z   test_schema_correctness_cross_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0407670Z   test_schema_correctness_cross_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0408418Z   test_schema_correctness_cross_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0408888Z   test_schema_correctness_cross_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0409400Z   test_schema_correctness_cross_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0409892Z   test_schema_correctness_cross_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0410379Z   test_schema_correctness_cross_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0410846Z   test_schema_correctness_cross_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0411329Z   test_schema_correctness_cross_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0411836Z   test_schema_correctness_cummax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0412310Z   test_schema_correctness_cummax_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0412810Z   test_schema_correctness_cummax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0413417Z   test_schema_correctness_cummax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0413938Z   test_schema_correctness_cummax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0414429Z   test_schema_correctness_cummax_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0414924Z   test_schema_correctness_cummax_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0415414Z   test_schema_correctness_cummax_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0415917Z   test_schema_correctness_cummax_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0417103Z   test_schema_correctness_cummax_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0417982Z   test_schema_correctness_cummin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0418532Z   test_schema_correctness_cummin_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0419017Z   test_schema_correctness_cummin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0419513Z   test_schema_correctness_cummin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0420010Z   test_schema_correctness_cummin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0420508Z   test_schema_correctness_cummin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0420986Z   test_schema_correctness_cummin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0421525Z   test_schema_correctness_cummin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0422019Z   test_schema_correctness_cummin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0422520Z   test_schema_correctness_cummin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0423013Z   test_schema_correctness_cumprod_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0423535Z   test_schema_correctness_cumprod_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0424057Z   test_schema_correctness_cumprod_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0424548Z   test_schema_correctness_cumprod_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0425242Z   test_schema_correctness_cumprod_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0425750Z   test_schema_correctness_cumprod_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0426255Z   test_schema_correctness_cumprod_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0426735Z   test_schema_correctness_cumprod_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0427233Z   test_schema_correctness_cumprod_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0427726Z   test_schema_correctness_cumprod_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0428224Z   test_schema_correctness_cumprod_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0428708Z   test_schema_correctness_cumsum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0428968Z   test_schema_correctness_cumsum_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0429220Z   test_schema_correctness_cumsum_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0429553Z   test_schema_correctness_cumsum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0429815Z   test_schema_correctness_cumsum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0430061Z   test_schema_correctness_cumsum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0430305Z   test_schema_correctness_cumsum_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0430543Z   test_schema_correctness_cumsum_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0430771Z   test_schema_correctness_cumsum_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0431011Z   test_schema_correctness_cumsum_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0431252Z   test_schema_correctness_cumsum_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0431526Z   test_schema_correctness_cumulative_trapezoid_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.067s)
2022-11-23T02:28:53.0431804Z   test_schema_correctness_cumulative_trapezoid_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.074s)
2022-11-23T02:28:53.0432075Z   test_schema_correctness_cumulative_trapezoid_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.073s)
2022-11-23T02:28:53.0432344Z   test_schema_correctness_cumulative_trapezoid_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.067s)
2022-11-23T02:28:53.0432608Z   test_schema_correctness_cumulative_trapezoid_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.067s)
2022-11-23T02:28:53.0432869Z   test_schema_correctness_cumulative_trapezoid_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.068s)
2022-11-23T02:28:53.0433118Z   test_schema_correctness_cumulative_trapezoid_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.067s)
2022-11-23T02:28:53.0433377Z   test_schema_correctness_cumulative_trapezoid_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.067s)
2022-11-23T02:28:53.0433631Z   test_schema_correctness_cumulative_trapezoid_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.068s)
2022-11-23T02:28:53.0433896Z   test_schema_correctness_cumulative_trapezoid_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.067s)
2022-11-23T02:28:53.0434160Z   test_schema_correctness_cumulative_trapezoid_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.067s)
2022-11-23T02:28:53.0434409Z   test_schema_correctness_deg2rad_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0434732Z   test_schema_correctness_deg2rad_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0434980Z   test_schema_correctness_deg2rad_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0435231Z   test_schema_correctness_deg2rad_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0435457Z   test_schema_correctness_deg2rad_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0435701Z   test_schema_correctness_deg2rad_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0435939Z   test_schema_correctness_deg2rad_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0436174Z   test_schema_correctness_deg2rad_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0436414Z   test_schema_correctness_deg2rad_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0436664Z   test_schema_correctness_deg2rad_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0436905Z   test_schema_correctness_diag_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0437200Z   test_schema_correctness_diag_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0437457Z   test_schema_correctness_diag_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0437693Z   test_schema_correctness_diag_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0437934Z   test_schema_correctness_diag_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0438174Z   test_schema_correctness_diag_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0438416Z   test_schema_correctness_diag_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0438649Z   test_schema_correctness_diag_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0438888Z   test_schema_correctness_diag_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0439135Z   test_schema_correctness_diag_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0439377Z   test_schema_correctness_diag_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0439615Z   test_schema_correctness_diag_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0439839Z   test_schema_correctness_diag_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0440093Z   test_schema_correctness_diag_embed_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0440373Z   test_schema_correctness_diag_embed_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0440642Z   test_schema_correctness_diag_embed_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0440864Z   test_schema_correctness_diag_embed_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0441123Z   test_schema_correctness_diag_embed_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0441372Z   test_schema_correctness_diag_embed_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0441622Z   test_schema_correctness_diag_embed_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0441873Z   test_schema_correctness_diag_embed_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0442105Z   test_schema_correctness_diag_embed_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0442430Z   test_schema_correctness_diag_embed_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0442676Z   test_schema_correctness_diag_embed_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0442926Z   test_schema_correctness_diag_embed_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0443173Z   test_schema_correctness_diag_embed_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0443428Z   test_schema_correctness_diagflat_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0443678Z   test_schema_correctness_diagflat_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0443936Z   test_schema_correctness_diagflat_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0444195Z   test_schema_correctness_diagflat_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0444429Z   test_schema_correctness_diagflat_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0444675Z   test_schema_correctness_diagflat_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0444981Z   test_schema_correctness_diagflat_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0445241Z   test_schema_correctness_diagflat_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0445483Z   test_schema_correctness_diagflat_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0445733Z   test_schema_correctness_diagflat_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0445978Z   test_schema_correctness_diagflat_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0446228Z   test_schema_correctness_diagflat_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0446487Z   test_schema_correctness_diagonal_copy_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0446725Z   test_schema_correctness_diagonal_copy_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0446992Z   test_schema_correctness_diagonal_copy_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0447257Z   test_schema_correctness_diagonal_copy_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0447525Z   test_schema_correctness_diagonal_copy_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0447788Z   test_schema_correctness_diagonal_copy_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0448053Z   test_schema_correctness_diagonal_copy_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0448312Z   test_schema_correctness_diagonal_copy_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0448565Z   test_schema_correctness_diagonal_copy_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0448820Z   test_schema_correctness_diagonal_copy_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0449110Z   test_schema_correctness_diagonal_copy_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0449370Z   test_schema_correctness_diagonal_copy_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0449625Z   test_schema_correctness_diagonal_copy_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0449881Z   test_schema_correctness_diagonal_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0450212Z   test_schema_correctness_diagonal_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0450470Z   test_schema_correctness_diagonal_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0450730Z   test_schema_correctness_diagonal_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0450983Z   test_schema_correctness_diagonal_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0451233Z   test_schema_correctness_diagonal_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0451470Z   test_schema_correctness_diagonal_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0451720Z   test_schema_correctness_diagonal_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0451965Z   test_schema_correctness_diagonal_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0452215Z   test_schema_correctness_diagonal_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0452463Z   test_schema_correctness_diagonal_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0452807Z   test_schema_correctness_diagonal_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0453057Z   test_schema_correctness_diagonal_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0453322Z   test_schema_correctness_diagonal_scatter_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0453582Z   test_schema_correctness_diagonal_scatter_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.0453829Z   test_schema_correctness_diagonal_scatter_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.0454100Z   test_schema_correctness_diagonal_scatter_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.0454357Z   test_schema_correctness_diagonal_scatter_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.0454618Z   test_schema_correctness_diagonal_scatter_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.0454876Z   test_schema_correctness_diagonal_scatter_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.0455136Z   test_schema_correctness_diagonal_scatter_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0455395Z   test_schema_correctness_diagonal_scatter_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0455646Z   test_schema_correctness_diagonal_scatter_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.0455895Z   test_schema_correctness_diff_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.557s)
2022-11-23T02:28:53.0456407Z   test_schema_correctness_diff_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.542s)
2022-11-23T02:28:53.0456841Z   test_schema_correctness_diff_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.603s)
2022-11-23T02:28:53.0457278Z   test_schema_correctness_diff_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.605s)
2022-11-23T02:28:53.0457707Z   test_schema_correctness_diff_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.557s)
2022-11-23T02:28:53.0458085Z   test_schema_correctness_diff_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.557s)
2022-11-23T02:28:53.0458323Z   test_schema_correctness_diff_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.556s)
2022-11-23T02:28:53.0458559Z   test_schema_correctness_diff_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.550s)
2022-11-23T02:28:53.0458978Z   test_schema_correctness_diff_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.552s)
2022-11-23T02:28:53.0459209Z   test_schema_correctness_diff_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.550s)
2022-11-23T02:28:53.0459429Z   test_schema_correctness_diff_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.553s)
2022-11-23T02:28:53.0459675Z   test_schema_correctness_diff_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.553s)
2022-11-23T02:28:53.0459919Z   test_schema_correctness_digamma_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.488s)
2022-11-23T02:28:53.0460174Z   test_schema_correctness_digamma_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.442s)
2022-11-23T02:28:53.0460423Z   test_schema_correctness_digamma_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.435s)
2022-11-23T02:28:53.0460669Z   test_schema_correctness_digamma_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.479s)
2022-11-23T02:28:53.0460918Z   test_schema_correctness_digamma_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0461166Z   test_schema_correctness_digamma_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0461406Z   test_schema_correctness_digamma_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0461702Z   test_schema_correctness_digamma_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0461949Z   test_schema_correctness_digamma_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0462183Z   test_schema_correctness_dist_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T02:28:53.0462428Z   test_schema_correctness_dist_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.0462676Z   test_schema_correctness_dist_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.0462925Z   test_schema_correctness_dist_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.064s)
2022-11-23T02:28:53.0463163Z   test_schema_correctness_dist_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T02:28:53.0463398Z   test_schema_correctness_dist_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T02:28:53.0463667Z   test_schema_correctness_div_floor_rounding_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0463915Z   test_schema_correctness_div_floor_rounding_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0464169Z   test_schema_correctness_div_floor_rounding_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0464417Z   test_schema_correctness_div_floor_rounding_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0464685Z   test_schema_correctness_div_floor_rounding_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0464948Z   test_schema_correctness_div_floor_rounding_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0465206Z   test_schema_correctness_div_floor_rounding_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0465469Z   test_schema_correctness_div_floor_rounding_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0465722Z   test_schema_correctness_div_floor_rounding_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0465986Z   test_schema_correctness_div_no_rounding_mode_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0466246Z   test_schema_correctness_div_no_rounding_mode_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0466502Z   test_schema_correctness_div_no_rounding_mode_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0466837Z   test_schema_correctness_div_no_rounding_mode_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0467104Z   test_schema_correctness_div_no_rounding_mode_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0467371Z   test_schema_correctness_div_no_rounding_mode_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0467633Z   test_schema_correctness_div_no_rounding_mode_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0467893Z   test_schema_correctness_div_no_rounding_mode_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0468153Z   test_schema_correctness_div_no_rounding_mode_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0468401Z   test_schema_correctness_div_no_rounding_mode_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0468652Z   test_schema_correctness_div_no_rounding_mode_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0468895Z   test_schema_correctness_div_no_rounding_mode_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0469283Z   test_schema_correctness_div_no_rounding_mode_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0469558Z   test_schema_correctness_div_trunc_rounding_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0469820Z   test_schema_correctness_div_trunc_rounding_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0470081Z   test_schema_correctness_div_trunc_rounding_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0470336Z   test_schema_correctness_div_trunc_rounding_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0470602Z   test_schema_correctness_div_trunc_rounding_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0470860Z   test_schema_correctness_div_trunc_rounding_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0471119Z   test_schema_correctness_div_trunc_rounding_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0471377Z   test_schema_correctness_div_trunc_rounding_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0471617Z   test_schema_correctness_div_trunc_rounding_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0471865Z   test_schema_correctness_dot_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0472129Z   test_schema_correctness_dot_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0472400Z   test_schema_correctness_dot_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.0472641Z   test_schema_correctness_dot_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0472878Z   test_schema_correctness_dot_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0473110Z   test_schema_correctness_dot_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0473357Z   test_schema_correctness_double_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0473594Z   test_schema_correctness_double_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0473835Z   test_schema_correctness_double_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0474090Z   test_schema_correctness_double_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0474422Z   test_schema_correctness_double_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0474669Z   test_schema_correctness_double_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0474919Z   test_schema_correctness_double_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0475164Z   test_schema_correctness_double_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0475409Z   test_schema_correctness_double_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0475645Z   test_schema_correctness_double_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0475862Z   test_schema_correctness_double_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0476105Z   test_schema_correctness_double_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0476345Z   test_schema_correctness_double_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0476592Z   test_schema_correctness_dsplit_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0476895Z   test_schema_correctness_dsplit_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0477158Z   test_schema_correctness_dsplit_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0477410Z   test_schema_correctness_dsplit_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0477661Z   test_schema_correctness_dsplit_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0477910Z   test_schema_correctness_dsplit_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0478143Z   test_schema_correctness_dsplit_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0478390Z   test_schema_correctness_dsplit_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0478628Z   test_schema_correctness_dsplit_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0478865Z   test_schema_correctness_dsplit_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0479097Z   test_schema_correctness_dsplit_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0479342Z   test_schema_correctness_dsplit_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0479583Z   test_schema_correctness_dsplit_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0479829Z   test_schema_correctness_dstack_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0480075Z   test_schema_correctness_dstack_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0480313Z   test_schema_correctness_dstack_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0480563Z   test_schema_correctness_dstack_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0480811Z   test_schema_correctness_dstack_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0481059Z   test_schema_correctness_dstack_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0481305Z   test_schema_correctness_dstack_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0481554Z   test_schema_correctness_dstack_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0481797Z   test_schema_correctness_dstack_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0482120Z   test_schema_correctness_dstack_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0482364Z   test_schema_correctness_dstack_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0482590Z   test_schema_correctness_dstack_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0482828Z   test_schema_correctness_dstack_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0483083Z   test_schema_correctness_einsum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.073s)
2022-11-23T02:28:53.0483336Z   test_schema_correctness_einsum_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.077s)
2022-11-23T02:28:53.0483582Z   test_schema_correctness_einsum_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.077s)
2022-11-23T02:28:53.0483826Z   test_schema_correctness_einsum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.0484075Z   test_schema_correctness_einsum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.0484322Z   test_schema_correctness_einsum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.0484626Z   test_schema_correctness_empty_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T02:28:53.0484858Z   test_schema_correctness_empty_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T02:28:53.0485110Z   test_schema_correctness_empty_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T02:28:53.0485362Z   test_schema_correctness_empty_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0485615Z   test_schema_correctness_empty_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T02:28:53.0485866Z   test_schema_correctness_empty_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T02:28:53.0486112Z   test_schema_correctness_empty_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T02:28:53.0486353Z   test_schema_correctness_empty_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T02:28:53.0486601Z   test_schema_correctness_empty_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T02:28:53.0486842Z   test_schema_correctness_empty_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.0487063Z   test_schema_correctness_empty_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T02:28:53.0487303Z   test_schema_correctness_empty_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T02:28:53.0487542Z   test_schema_correctness_empty_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T02:28:53.0487803Z   test_schema_correctness_empty_like_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.0488058Z   test_schema_correctness_empty_like_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.0488315Z   test_schema_correctness_empty_like_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.0488578Z   test_schema_correctness_empty_like_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0488836Z   test_schema_correctness_empty_like_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0489089Z   test_schema_correctness_empty_like_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.0489324Z   test_schema_correctness_empty_like_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.0489575Z   test_schema_correctness_empty_like_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.0489900Z   test_schema_correctness_empty_like_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.0490149Z   test_schema_correctness_empty_like_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.0490397Z   test_schema_correctness_empty_like_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.0490643Z   test_schema_correctness_empty_like_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.0490889Z   test_schema_correctness_empty_like_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0491128Z   test_schema_correctness_eq_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0491364Z   test_schema_correctness_eq_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0491597Z   test_schema_correctness_eq_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0491843Z   test_schema_correctness_eq_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0492084Z   test_schema_correctness_eq_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0492371Z   test_schema_correctness_eq_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0492610Z   test_schema_correctness_eq_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0492839Z   test_schema_correctness_eq_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0493075Z   test_schema_correctness_eq_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0493314Z   test_schema_correctness_eq_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0493556Z   test_schema_correctness_eq_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0493773Z   test_schema_correctness_eq_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0494002Z   test_schema_correctness_eq_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0494252Z   test_schema_correctness_equal_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0494495Z   test_schema_correctness_equal_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0494749Z   test_schema_correctness_equal_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0494999Z   test_schema_correctness_equal_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0495247Z   test_schema_correctness_equal_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0495497Z   test_schema_correctness_equal_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0495737Z   test_schema_correctness_equal_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0495961Z   test_schema_correctness_equal_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0496573Z   test_schema_correctness_equal_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0496812Z   test_schema_correctness_equal_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0497054Z   test_schema_correctness_equal_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0497294Z   test_schema_correctness_equal_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0497535Z   test_schema_correctness_erf_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0497924Z   test_schema_correctness_erf_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0498169Z   test_schema_correctness_erf_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0498394Z   test_schema_correctness_erf_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0498633Z   test_schema_correctness_erf_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0498872Z   test_schema_correctness_erf_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0499109Z   test_schema_correctness_erf_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0499346Z   test_schema_correctness_erf_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0499582Z   test_schema_correctness_erf_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0499820Z   test_schema_correctness_erf_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0500068Z   test_schema_correctness_erfc_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.241s)
2022-11-23T02:28:53.0500309Z   test_schema_correctness_erfc_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.321s)
2022-11-23T02:28:53.0500624Z   test_schema_correctness_erfc_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.223s)
2022-11-23T02:28:53.0500877Z   test_schema_correctness_erfc_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.222s)
2022-11-23T02:28:53.0501113Z   test_schema_correctness_erfc_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.263s)
2022-11-23T02:28:53.0501354Z   test_schema_correctness_erfc_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0501584Z   test_schema_correctness_erfc_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0501817Z   test_schema_correctness_erfc_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0502055Z   test_schema_correctness_erfc_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0502294Z   test_schema_correctness_erfc_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0502538Z   test_schema_correctness_erfinv_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.326s)
2022-11-23T02:28:53.0502767Z   test_schema_correctness_erfinv_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.225s)
2022-11-23T02:28:53.0503014Z   test_schema_correctness_erfinv_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.222s)
2022-11-23T02:28:53.0503251Z   test_schema_correctness_erfinv_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.296s)
2022-11-23T02:28:53.0503488Z   test_schema_correctness_erfinv_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0503727Z   test_schema_correctness_erfinv_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0503959Z   test_schema_correctness_erfinv_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0504199Z   test_schema_correctness_erfinv_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0504446Z   test_schema_correctness_erfinv_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0504694Z   test_schema_correctness_exp2_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.212s)
2022-11-23T02:28:53.0504914Z   test_schema_correctness_exp2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.312s)
2022-11-23T02:28:53.0505156Z   test_schema_correctness_exp2_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.199s)
2022-11-23T02:28:53.0505395Z   test_schema_correctness_exp2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.195s)
2022-11-23T02:28:53.0505728Z   test_schema_correctness_exp2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.230s)
2022-11-23T02:28:53.0505970Z   test_schema_correctness_exp2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0506270Z   test_schema_correctness_exp2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0506500Z   test_schema_correctness_exp2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0506736Z   test_schema_correctness_exp2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0506975Z   test_schema_correctness_exp2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0507204Z   test_schema_correctness_exp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0507441Z   test_schema_correctness_exp_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0507701Z   test_schema_correctness_exp_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.498s)
2022-11-23T02:28:53.0507945Z   test_schema_correctness_exp_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0508191Z   test_schema_correctness_exp_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0508518Z   test_schema_correctness_exp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0508764Z   test_schema_correctness_exp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0508998Z   test_schema_correctness_exp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0509223Z   test_schema_correctness_exp_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0509463Z   test_schema_correctness_exp_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0509701Z   test_schema_correctness_exp_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0509940Z   test_schema_correctness_exp_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0510184Z   test_schema_correctness_exp_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0510441Z   test_schema_correctness_expand_as_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0510695Z   test_schema_correctness_expand_as_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0510956Z   test_schema_correctness_expand_as_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0511213Z   test_schema_correctness_expand_as_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0511446Z   test_schema_correctness_expand_as_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0511705Z   test_schema_correctness_expand_as_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0511948Z   test_schema_correctness_expand_as_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0512197Z   test_schema_correctness_expand_as_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0512434Z   test_schema_correctness_expand_as_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0512680Z   test_schema_correctness_expand_as_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.0512928Z   test_schema_correctness_expand_as_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0513176Z   test_schema_correctness_expand_as_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0513491Z   test_schema_correctness_expand_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0513716Z   test_schema_correctness_expand_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0513969Z   test_schema_correctness_expand_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T02:28:53.0514223Z   test_schema_correctness_expand_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T02:28:53.0514469Z   test_schema_correctness_expand_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0514717Z   test_schema_correctness_expand_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.0514972Z   test_schema_correctness_expand_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0515212Z   test_schema_correctness_expand_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0515458Z   test_schema_correctness_expand_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0515694Z   test_schema_correctness_expand_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0515917Z   test_schema_correctness_expand_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0516204Z   test_schema_correctness_expand_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0516455Z   test_schema_correctness_expm1_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0516696Z   test_schema_correctness_expm1_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0516938Z   test_schema_correctness_expm1_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0517177Z   test_schema_correctness_expm1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0517418Z   test_schema_correctness_expm1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0517656Z   test_schema_correctness_expm1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0517896Z   test_schema_correctness_expm1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0518114Z   test_schema_correctness_expm1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0518356Z   test_schema_correctness_expm1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0518588Z   test_schema_correctness_expm1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0518830Z   test_schema_correctness_eye_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.477s)
2022-11-23T02:28:53.0519069Z   test_schema_correctness_eye_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.476s)
2022-11-23T02:28:53.0519320Z   test_schema_correctness_eye_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.477s)
2022-11-23T02:28:53.0519569Z   test_schema_correctness_eye_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.475s)
2022-11-23T02:28:53.0519813Z   test_schema_correctness_eye_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.477s)
2022-11-23T02:28:53.0520051Z   test_schema_correctness_eye_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.476s)
2022-11-23T02:28:53.0520277Z   test_schema_correctness_eye_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.477s)
2022-11-23T02:28:53.0520512Z   test_schema_correctness_eye_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.477s)
2022-11-23T02:28:53.0520750Z   test_schema_correctness_eye_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.477s)
2022-11-23T02:28:53.0520989Z   test_schema_correctness_eye_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.476s)
2022-11-23T02:28:53.0521296Z   test_schema_correctness_eye_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.477s)
2022-11-23T02:28:53.0521600Z   test_schema_correctness_eye_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.477s)
2022-11-23T02:28:53.0521850Z   test_schema_correctness_fft_fft2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.0522105Z   test_schema_correctness_fft_fft2_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0522361Z   test_schema_correctness_fft_fft2_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0522592Z   test_schema_correctness_fft_fft2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0522838Z   test_schema_correctness_fft_fft2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0523083Z   test_schema_correctness_fft_fft2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0523330Z   test_schema_correctness_fft_fft2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0523573Z   test_schema_correctness_fft_fft2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0523869Z   test_schema_correctness_fft_fft2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0524118Z   test_schema_correctness_fft_fft2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0524364Z   test_schema_correctness_fft_fft_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0524619Z   test_schema_correctness_fft_fft_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0524857Z   test_schema_correctness_fft_fft_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0525112Z   test_schema_correctness_fft_fft_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0525350Z   test_schema_correctness_fft_fft_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0525592Z   test_schema_correctness_fft_fft_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0525832Z   test_schema_correctness_fft_fft_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0526063Z   test_schema_correctness_fft_fft_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0526309Z   test_schema_correctness_fft_fft_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0526551Z   test_schema_correctness_fft_fft_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0526788Z   test_schema_correctness_fft_fftn_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0527031Z   test_schema_correctness_fft_fftn_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0527282Z   test_schema_correctness_fft_fftn_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0527529Z   test_schema_correctness_fft_fftn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0527780Z   test_schema_correctness_fft_fftn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0528023Z   test_schema_correctness_fft_fftn_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0528264Z   test_schema_correctness_fft_fftn_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0528503Z   test_schema_correctness_fft_fftn_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.0528804Z   test_schema_correctness_fft_fftn_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0529110Z   test_schema_correctness_fft_fftn_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0529352Z   test_schema_correctness_fft_fftshift_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0529607Z   test_schema_correctness_fft_fftshift_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0529875Z   test_schema_correctness_fft_fftshift_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0530136Z   test_schema_correctness_fft_fftshift_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0530392Z   test_schema_correctness_fft_fftshift_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0530647Z   test_schema_correctness_fft_fftshift_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0530908Z   test_schema_correctness_fft_fftshift_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0531156Z   test_schema_correctness_fft_fftshift_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0531409Z   test_schema_correctness_fft_fftshift_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0531704Z   test_schema_correctness_fft_fftshift_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0531967Z   test_schema_correctness_fft_fftshift_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0532213Z   test_schema_correctness_fft_fftshift_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0532460Z   test_schema_correctness_fft_fftshift_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0532726Z   test_schema_correctness_fft_hfft2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0533003Z   test_schema_correctness_fft_hfft2_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.0533280Z   test_schema_correctness_fft_hfft2_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0533554Z   test_schema_correctness_fft_hfft2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0533815Z   test_schema_correctness_fft_hfft2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0534069Z   test_schema_correctness_fft_hfft2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0534325Z   test_schema_correctness_fft_hfft2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.0534577Z   test_schema_correctness_fft_hfft2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.0534844Z   test_schema_correctness_fft_hfft2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.0535110Z   test_schema_correctness_fft_hfft2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.0535358Z   test_schema_correctness_fft_hfft_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T02:28:53.0535626Z   test_schema_correctness_fft_hfft_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0535901Z   test_schema_correctness_fft_hfft_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.0536687Z   test_schema_correctness_fft_hfft_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0537130Z   test_schema_correctness_fft_hfft_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T02:28:53.0537785Z   test_schema_correctness_fft_hfft_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.0538147Z   test_schema_correctness_fft_hfft_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0538407Z   test_schema_correctness_fft_hfft_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0538655Z   test_schema_correctness_fft_hfft_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0538898Z   test_schema_correctness_fft_hfft_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.0539163Z   test_schema_correctness_fft_hfftn_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0539438Z   test_schema_correctness_fft_hfftn_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.0539707Z   test_schema_correctness_fft_hfftn_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.0539982Z   test_schema_correctness_fft_hfftn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.0540224Z   test_schema_correctness_fft_hfftn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.0540571Z   test_schema_correctness_fft_hfftn_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0540847Z   test_schema_correctness_fft_hfftn_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0541104Z   test_schema_correctness_fft_hfftn_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0541387Z   test_schema_correctness_fft_hfftn_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0541652Z   test_schema_correctness_fft_hfftn_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0541875Z   test_schema_correctness_fft_ifft2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0542128Z   test_schema_correctness_fft_ifft2_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0542387Z   test_schema_correctness_fft_ifft2_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0542618Z   test_schema_correctness_fft_ifft2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0542866Z   test_schema_correctness_fft_ifft2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0543111Z   test_schema_correctness_fft_ifft2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0543356Z   test_schema_correctness_fft_ifft2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0543605Z   test_schema_correctness_fft_ifft2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0543850Z   test_schema_correctness_fft_ifft2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0544090Z   test_schema_correctness_fft_ifft2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0544337Z   test_schema_correctness_fft_ifft_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0544588Z   test_schema_correctness_fft_ifft_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0544824Z   test_schema_correctness_fft_ifft_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0545071Z   test_schema_correctness_fft_ifft_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0545316Z   test_schema_correctness_fft_ifft_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0545620Z   test_schema_correctness_fft_ifft_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0545864Z   test_schema_correctness_fft_ifft_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.0546103Z   test_schema_correctness_fft_ifft_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.0546346Z   test_schema_correctness_fft_ifft_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.0546582Z   test_schema_correctness_fft_ifft_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0546824Z   test_schema_correctness_fft_ifftn_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0547061Z   test_schema_correctness_fft_ifftn_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0547319Z   test_schema_correctness_fft_ifftn_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0547566Z   test_schema_correctness_fft_ifftn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.0547807Z   test_schema_correctness_fft_ifftn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0548126Z   test_schema_correctness_fft_ifftn_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0548377Z   test_schema_correctness_fft_ifftn_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0548623Z   test_schema_correctness_fft_ifftn_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0548869Z   test_schema_correctness_fft_ifftn_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0549111Z   test_schema_correctness_fft_ifftn_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0549357Z   test_schema_correctness_fft_ifftshift_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0549609Z   test_schema_correctness_fft_ifftshift_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0549872Z   test_schema_correctness_fft_ifftshift_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0550131Z   test_schema_correctness_fft_ifftshift_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0550390Z   test_schema_correctness_fft_ifftshift_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0550641Z   test_schema_correctness_fft_ifftshift_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0550893Z   test_schema_correctness_fft_ifftshift_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0551145Z   test_schema_correctness_fft_ifftshift_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0551396Z   test_schema_correctness_fft_ifftshift_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0551628Z   test_schema_correctness_fft_ifftshift_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0551883Z   test_schema_correctness_fft_ifftshift_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0552132Z   test_schema_correctness_fft_ifftshift_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0552384Z   test_schema_correctness_fft_ifftshift_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0552632Z   test_schema_correctness_fft_ihfft2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.0552878Z   test_schema_correctness_fft_ihfft2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.0553189Z   test_schema_correctness_fft_ihfft2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0553436Z   test_schema_correctness_fft_ihfft2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.0553692Z   test_schema_correctness_fft_ihfft2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.0553934Z   test_schema_correctness_fft_ihfft2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.0554163Z   test_schema_correctness_fft_ihfft2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.0554409Z   test_schema_correctness_fft_ihfft2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.0554654Z   test_schema_correctness_fft_ihfft_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.0554905Z   test_schema_correctness_fft_ihfft_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0555150Z   test_schema_correctness_fft_ihfft_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0555392Z   test_schema_correctness_fft_ihfft_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.0555688Z   test_schema_correctness_fft_ihfft_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0555949Z   test_schema_correctness_fft_ihfft_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.0556176Z   test_schema_correctness_fft_ihfft_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0556427Z   test_schema_correctness_fft_ihfft_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0556675Z   test_schema_correctness_fft_ihfftn_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.0556935Z   test_schema_correctness_fft_ihfftn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0557187Z   test_schema_correctness_fft_ihfftn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0557433Z   test_schema_correctness_fft_ihfftn_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.0557676Z   test_schema_correctness_fft_ihfftn_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.0557921Z   test_schema_correctness_fft_ihfftn_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.0558164Z   test_schema_correctness_fft_ihfftn_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.0558392Z   test_schema_correctness_fft_ihfftn_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.0558641Z   test_schema_correctness_fft_irfft2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.0558898Z   test_schema_correctness_fft_irfft2_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0559158Z   test_schema_correctness_fft_irfft2_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0559411Z   test_schema_correctness_fft_irfft2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0559660Z   test_schema_correctness_fft_irfft2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.0559901Z   test_schema_correctness_fft_irfft2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0560142Z   test_schema_correctness_fft_irfft2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0560386Z   test_schema_correctness_fft_irfft2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0560707Z   test_schema_correctness_fft_irfft2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0560936Z   test_schema_correctness_fft_irfft2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0561180Z   test_schema_correctness_fft_irfft_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0561441Z   test_schema_correctness_fft_irfft_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0561698Z   test_schema_correctness_fft_irfft_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0561948Z   test_schema_correctness_fft_irfft_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0562195Z   test_schema_correctness_fft_irfft_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0562436Z   test_schema_correctness_fft_irfft_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.0562681Z   test_schema_correctness_fft_irfft_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0562928Z   test_schema_correctness_fft_irfft_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0563258Z   test_schema_correctness_fft_irfft_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0563520Z   test_schema_correctness_fft_irfft_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0563765Z   test_schema_correctness_fft_irfftn_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0564024Z   test_schema_correctness_fft_irfftn_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0564280Z   test_schema_correctness_fft_irfftn_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0564533Z   test_schema_correctness_fft_irfftn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0564788Z   test_schema_correctness_fft_irfftn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0565039Z   test_schema_correctness_fft_irfftn_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0565288Z   test_schema_correctness_fft_irfftn_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0565520Z   test_schema_correctness_fft_irfftn_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0565765Z   test_schema_correctness_fft_irfftn_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0566012Z   test_schema_correctness_fft_irfftn_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.0566263Z   test_schema_correctness_fft_rfft2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.0566513Z   test_schema_correctness_fft_rfft2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0566763Z   test_schema_correctness_fft_rfft2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0567004Z   test_schema_correctness_fft_rfft2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0567252Z   test_schema_correctness_fft_rfft2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0567502Z   test_schema_correctness_fft_rfft2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0567733Z   test_schema_correctness_fft_rfft2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0567976Z   test_schema_correctness_fft_rfft2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0568218Z   test_schema_correctness_fft_rfft_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0568553Z   test_schema_correctness_fft_rfft_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0568800Z   test_schema_correctness_fft_rfft_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0569046Z   test_schema_correctness_fft_rfft_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0569286Z   test_schema_correctness_fft_rfft_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0569531Z   test_schema_correctness_fft_rfft_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.0569775Z   test_schema_correctness_fft_rfft_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0570002Z   test_schema_correctness_fft_rfft_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0570239Z   test_schema_correctness_fft_rfftn_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0570492Z   test_schema_correctness_fft_rfftn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0570740Z   test_schema_correctness_fft_rfftn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0571041Z   test_schema_correctness_fft_rfftn_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0571293Z   test_schema_correctness_fft_rfftn_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0571532Z   test_schema_correctness_fft_rfftn_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0571769Z   test_schema_correctness_fft_rfftn_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0572016Z   test_schema_correctness_fft_rfftn_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0572254Z   test_schema_correctness_fill_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0572495Z   test_schema_correctness_fill_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0572741Z   test_schema_correctness_fill_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0572992Z   test_schema_correctness_fill_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0573244Z   test_schema_correctness_fill_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0573488Z   test_schema_correctness_fill_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0573734Z   test_schema_correctness_fill_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0573968Z   test_schema_correctness_fill_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0574196Z   test_schema_correctness_fill_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0574432Z   test_schema_correctness_fill_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0574659Z   test_schema_correctness_fill_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0574905Z   test_schema_correctness_fill_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0575152Z   test_schema_correctness_fill_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0575401Z   test_schema_correctness_flatten_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0575649Z   test_schema_correctness_flatten_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0575909Z   test_schema_correctness_flatten_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0576906Z   test_schema_correctness_flatten_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0577343Z   test_schema_correctness_flatten_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0577773Z   test_schema_correctness_flatten_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0578213Z   test_schema_correctness_flatten_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0578576Z   test_schema_correctness_flatten_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0578825Z   test_schema_correctness_flatten_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0579057Z   test_schema_correctness_flatten_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0579289Z   test_schema_correctness_flatten_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0579535Z   test_schema_correctness_flatten_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0579771Z   test_schema_correctness_flatten_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0580138Z   test_schema_correctness_flip_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.0580388Z   test_schema_correctness_flip_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.0580637Z   test_schema_correctness_flip_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.0580885Z   test_schema_correctness_flip_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T02:28:53.0581127Z   test_schema_correctness_flip_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.0581369Z   test_schema_correctness_flip_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.0581610Z   test_schema_correctness_flip_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.0581849Z   test_schema_correctness_flip_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.0582083Z   test_schema_correctness_flip_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.0582294Z   test_schema_correctness_flip_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.0582536Z   test_schema_correctness_flip_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.0582779Z   test_schema_correctness_flip_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.0583028Z   test_schema_correctness_fliplr_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0583273Z   test_schema_correctness_fliplr_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0583530Z   test_schema_correctness_fliplr_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0583781Z   test_schema_correctness_fliplr_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0584031Z   test_schema_correctness_fliplr_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0584277Z   test_schema_correctness_fliplr_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0584506Z   test_schema_correctness_fliplr_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0584750Z   test_schema_correctness_fliplr_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0584992Z   test_schema_correctness_fliplr_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0585322Z   test_schema_correctness_fliplr_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0585563Z   test_schema_correctness_fliplr_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0585799Z   test_schema_correctness_fliplr_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0586051Z   test_schema_correctness_flipud_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0586291Z   test_schema_correctness_flipud_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0586546Z   test_schema_correctness_flipud_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0586783Z   test_schema_correctness_flipud_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0587029Z   test_schema_correctness_flipud_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0587278Z   test_schema_correctness_flipud_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0587513Z   test_schema_correctness_flipud_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0587754Z   test_schema_correctness_flipud_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0588041Z   test_schema_correctness_flipud_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0588284Z   test_schema_correctness_flipud_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0588521Z   test_schema_correctness_flipud_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0588764Z   test_schema_correctness_flipud_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0588989Z   test_schema_correctness_float_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0589231Z   test_schema_correctness_float_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0589481Z   test_schema_correctness_float_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0589735Z   test_schema_correctness_float_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0589981Z   test_schema_correctness_float_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0590255Z   test_schema_correctness_float_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0590492Z   test_schema_correctness_float_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0590724Z   test_schema_correctness_float_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.060s)
2022-11-23T02:28:53.0590962Z   test_schema_correctness_float_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0591188Z   test_schema_correctness_float_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0591422Z   test_schema_correctness_float_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0591662Z   test_schema_correctness_float_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0591894Z   test_schema_correctness_float_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0592150Z   test_schema_correctness_float_power_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.0592398Z   test_schema_correctness_float_power_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.0592660Z   test_schema_correctness_float_power_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0592914Z   test_schema_correctness_float_power_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.0593303Z   test_schema_correctness_float_power_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.0593537Z   test_schema_correctness_float_power_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.0593793Z   test_schema_correctness_float_power_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0594040Z   test_schema_correctness_float_power_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T02:28:53.0594287Z   test_schema_correctness_float_power_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.0594538Z   test_schema_correctness_float_power_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.0594785Z   test_schema_correctness_float_power_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.0595035Z   test_schema_correctness_float_power_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.0595287Z   test_schema_correctness_floor_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0595577Z   test_schema_correctness_floor_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0595805Z   test_schema_correctness_floor_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0596040Z   test_schema_correctness_floor_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0596282Z   test_schema_correctness_floor_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0596517Z   test_schema_correctness_floor_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0596746Z   test_schema_correctness_floor_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0596988Z   test_schema_correctness_floor_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0597219Z   test_schema_correctness_floor_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0597476Z   test_schema_correctness_floor_divide_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0597733Z   test_schema_correctness_floor_divide_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0597972Z   test_schema_correctness_floor_divide_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0598222Z   test_schema_correctness_floor_divide_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0598471Z   test_schema_correctness_floor_divide_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0598725Z   test_schema_correctness_floor_divide_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0598969Z   test_schema_correctness_floor_divide_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0599215Z   test_schema_correctness_floor_divide_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0599466Z   test_schema_correctness_floor_divide_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0599709Z   test_schema_correctness_fmax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0599946Z   test_schema_correctness_fmax_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0600176Z   test_schema_correctness_fmax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0600415Z   test_schema_correctness_fmax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0600711Z   test_schema_correctness_fmax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0600954Z   test_schema_correctness_fmax_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0601186Z   test_schema_correctness_fmax_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0601422Z   test_schema_correctness_fmax_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0601659Z   test_schema_correctness_fmax_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0601902Z   test_schema_correctness_fmax_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0602147Z   test_schema_correctness_fmin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0602370Z   test_schema_correctness_fmin_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0602614Z   test_schema_correctness_fmin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0602853Z   test_schema_correctness_fmin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0603093Z   test_schema_correctness_fmin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0603378Z   test_schema_correctness_fmin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0603616Z   test_schema_correctness_fmin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0603843Z   test_schema_correctness_fmin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0604081Z   test_schema_correctness_fmin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0604303Z   test_schema_correctness_fmin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0604548Z   test_schema_correctness_fmod_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0604788Z   test_schema_correctness_fmod_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0605024Z   test_schema_correctness_fmod_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0605260Z   test_schema_correctness_fmod_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0605500Z   test_schema_correctness_fmod_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0605737Z   test_schema_correctness_fmod_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0605970Z   test_schema_correctness_fmod_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0606207Z   test_schema_correctness_fmod_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0606430Z   test_schema_correctness_fmod_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0606674Z   test_schema_correctness_frac_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0606919Z   test_schema_correctness_frac_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0607157Z   test_schema_correctness_frac_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0607392Z   test_schema_correctness_frac_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0607639Z   test_schema_correctness_frexp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0607874Z   test_schema_correctness_frexp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0608118Z   test_schema_correctness_frexp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0608486Z   test_schema_correctness_full_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0608706Z   test_schema_correctness_full_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0608960Z   test_schema_correctness_full_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0609212Z   test_schema_correctness_full_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0609452Z   test_schema_correctness_full_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0609694Z   test_schema_correctness_full_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0609927Z   test_schema_correctness_full_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0610158Z   test_schema_correctness_full_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.0610398Z   test_schema_correctness_full_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0610640Z   test_schema_correctness_full_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0610915Z   test_schema_correctness_full_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0611160Z   test_schema_correctness_full_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0611400Z   test_schema_correctness_full_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0611650Z   test_schema_correctness_full_like_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0611897Z   test_schema_correctness_full_like_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0612151Z   test_schema_correctness_full_like_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.0612417Z   test_schema_correctness_full_like_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0612670Z   test_schema_correctness_full_like_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0612931Z   test_schema_correctness_full_like_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0613161Z   test_schema_correctness_full_like_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0613409Z   test_schema_correctness_full_like_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0613654Z   test_schema_correctness_full_like_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0613896Z   test_schema_correctness_full_like_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0614145Z   test_schema_correctness_full_like_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0614393Z   test_schema_correctness_full_like_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0614639Z   test_schema_correctness_gather_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0614888Z   test_schema_correctness_gather_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0615150Z   test_schema_correctness_gather_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0615386Z   test_schema_correctness_gather_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0615639Z   test_schema_correctness_gather_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0615883Z   test_schema_correctness_gather_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0616831Z   test_schema_correctness_gather_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0617267Z   test_schema_correctness_gather_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0617691Z   test_schema_correctness_gather_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0618116Z   test_schema_correctness_gather_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0618446Z   test_schema_correctness_gather_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0618689Z   test_schema_correctness_gather_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0618908Z   test_schema_correctness_gcd_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.704s)
2022-11-23T02:28:53.0619145Z   test_schema_correctness_gcd_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.677s)
2022-11-23T02:28:53.0619388Z   test_schema_correctness_gcd_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.728s)
2022-11-23T02:28:53.0619624Z   test_schema_correctness_gcd_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.690s)
2022-11-23T02:28:53.0620074Z   test_schema_correctness_gcd_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.679s)
2022-11-23T02:28:53.0620333Z   test_schema_correctness_ge_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0620571Z   test_schema_correctness_ge_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0620809Z   test_schema_correctness_ge_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0621042Z   test_schema_correctness_ge_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0621253Z   test_schema_correctness_ge_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0621537Z   test_schema_correctness_ge_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0621776Z   test_schema_correctness_ge_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0622014Z   test_schema_correctness_ge_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0622256Z   test_schema_correctness_ge_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0622493Z   test_schema_correctness_ge_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0622745Z   test_schema_correctness_geqrf_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T02:28:53.0622995Z   test_schema_correctness_geqrf_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.0623221Z   test_schema_correctness_geqrf_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.0623469Z   test_schema_correctness_geqrf_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T02:28:53.0623718Z   test_schema_correctness_gradient_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.403s)
2022-11-23T02:28:53.0623985Z   test_schema_correctness_gradient_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.842s)
2022-11-23T02:28:53.0624240Z   test_schema_correctness_gradient_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.841s)
2022-11-23T02:28:53.0624489Z   test_schema_correctness_gradient_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.404s)
2022-11-23T02:28:53.0624738Z   test_schema_correctness_gradient_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.402s)
2022-11-23T02:28:53.0624988Z   test_schema_correctness_gradient_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.403s)
2022-11-23T02:28:53.0625232Z   test_schema_correctness_gradient_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.405s)
2022-11-23T02:28:53.0625553Z   test_schema_correctness_gradient_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.404s)
2022-11-23T02:28:53.0625794Z   test_schema_correctness_gradient_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.402s)
2022-11-23T02:28:53.0626043Z   test_schema_correctness_gradient_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.403s)
2022-11-23T02:28:53.0626301Z   test_schema_correctness_grid_sampler_2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T02:28:53.0626558Z   test_schema_correctness_grid_sampler_2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0626816Z   test_schema_correctness_grid_sampler_2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T02:28:53.0627057Z   test_schema_correctness_gt_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0627295Z   test_schema_correctness_gt_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0627535Z   test_schema_correctness_gt_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0627750Z   test_schema_correctness_gt_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0628046Z   test_schema_correctness_gt_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0628296Z   test_schema_correctness_gt_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0628531Z   test_schema_correctness_gt_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0628764Z   test_schema_correctness_gt_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0628998Z   test_schema_correctness_gt_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0629237Z   test_schema_correctness_gt_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0629480Z   test_schema_correctness_half_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0629714Z   test_schema_correctness_half_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0629949Z   test_schema_correctness_half_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0630196Z   test_schema_correctness_half_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0630440Z   test_schema_correctness_half_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0630681Z   test_schema_correctness_half_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0630917Z   test_schema_correctness_half_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0631159Z   test_schema_correctness_half_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0631390Z   test_schema_correctness_half_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0631615Z   test_schema_correctness_half_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0631859Z   test_schema_correctness_half_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0632082Z   test_schema_correctness_half_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0632338Z   test_schema_correctness_heaviside_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0632589Z   test_schema_correctness_heaviside_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0632841Z   test_schema_correctness_heaviside_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0633154Z   test_schema_correctness_heaviside_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0633403Z   test_schema_correctness_heaviside_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0633655Z   test_schema_correctness_heaviside_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0633905Z   test_schema_correctness_heaviside_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0634151Z   test_schema_correctness_heaviside_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0634378Z   test_schema_correctness_heaviside_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0634632Z   test_schema_correctness_heaviside_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0634878Z   test_schema_correctness_histc_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.096s)
2022-11-23T02:28:53.0635121Z   test_schema_correctness_histc_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.096s)
2022-11-23T02:28:53.0635360Z   test_schema_correctness_histc_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.094s)
2022-11-23T02:28:53.0635651Z   test_schema_correctness_histc_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.094s)
2022-11-23T02:28:53.0635896Z   test_schema_correctness_histc_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.094s)
2022-11-23T02:28:53.0636133Z   test_schema_correctness_histc_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.094s)
2022-11-23T02:28:53.0636381Z   test_schema_correctness_hsplit_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0636601Z   test_schema_correctness_hsplit_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0636856Z   test_schema_correctness_hsplit_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0637111Z   test_schema_correctness_hsplit_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0637364Z   test_schema_correctness_hsplit_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0637616Z   test_schema_correctness_hsplit_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0637866Z   test_schema_correctness_hsplit_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0638110Z   test_schema_correctness_hsplit_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0638354Z   test_schema_correctness_hsplit_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0638588Z   test_schema_correctness_hsplit_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0638808Z   test_schema_correctness_hsplit_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0639046Z   test_schema_correctness_hsplit_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0639292Z   test_schema_correctness_hsplit_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0639545Z   test_schema_correctness_hstack_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0639783Z   test_schema_correctness_hstack_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0640038Z   test_schema_correctness_hstack_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0640293Z   test_schema_correctness_hstack_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0640537Z   test_schema_correctness_hstack_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0640862Z   test_schema_correctness_hstack_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0641089Z   test_schema_correctness_hstack_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0641337Z   test_schema_correctness_hstack_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0641585Z   test_schema_correctness_hstack_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0641825Z   test_schema_correctness_hstack_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0642059Z   test_schema_correctness_hstack_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0642297Z   test_schema_correctness_hstack_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0642531Z   test_schema_correctness_hstack_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0642787Z   test_schema_correctness_hypot_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0643015Z   test_schema_correctness_hypot_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0643328Z   test_schema_correctness_hypot_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0643574Z   test_schema_correctness_hypot_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0643815Z   test_schema_correctness_i0_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.339s)
2022-11-23T02:28:53.0644050Z   test_schema_correctness_i0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.385s)
2022-11-23T02:28:53.0644289Z   test_schema_correctness_i0_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.320s)
2022-11-23T02:28:53.0644522Z   test_schema_correctness_i0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.317s)
2022-11-23T02:28:53.0644756Z   test_schema_correctness_i0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.364s)
2022-11-23T02:28:53.0644994Z   test_schema_correctness_i0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0645215Z   test_schema_correctness_i0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0645455Z   test_schema_correctness_i0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0645687Z   test_schema_correctness_i0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0645917Z   test_schema_correctness_i0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0646163Z   test_schema_correctness_igamma_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0646412Z   test_schema_correctness_igamma_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0646667Z   test_schema_correctness_igammac_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0646920Z   test_schema_correctness_igammac_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0647176Z   test_schema_correctness_imag_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0647404Z   test_schema_correctness_imag_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0647652Z   test_schema_correctness_imag_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0647905Z   test_schema_correctness_index_add_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0648160Z   test_schema_correctness_index_add_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0648419Z   test_schema_correctness_index_add_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0648783Z   test_schema_correctness_index_add_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0649043Z   test_schema_correctness_index_add_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0649265Z   test_schema_correctness_index_add_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0649513Z   test_schema_correctness_index_add_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0649750Z   test_schema_correctness_index_add_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0650001Z   test_schema_correctness_index_add_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0650246Z   test_schema_correctness_index_add_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0650488Z   test_schema_correctness_index_add_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0650733Z   test_schema_correctness_index_add_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0650975Z   test_schema_correctness_index_add_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0651277Z   test_schema_correctness_index_copy_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0651535Z   test_schema_correctness_index_copy_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0651799Z   test_schema_correctness_index_copy_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0652039Z   test_schema_correctness_index_copy_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0652292Z   test_schema_correctness_index_copy_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0652547Z   test_schema_correctness_index_copy_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0652799Z   test_schema_correctness_index_copy_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0653049Z   test_schema_correctness_index_copy_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0653297Z   test_schema_correctness_index_copy_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0653546Z   test_schema_correctness_index_copy_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0653795Z   test_schema_correctness_index_copy_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0654049Z   test_schema_correctness_index_copy_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0654298Z   test_schema_correctness_index_fill_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0654548Z   test_schema_correctness_index_fill_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0654804Z   test_schema_correctness_index_fill_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0655067Z   test_schema_correctness_index_fill_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0655323Z   test_schema_correctness_index_fill_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0655581Z   test_schema_correctness_index_fill_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0655826Z   test_schema_correctness_index_fill_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0656455Z   test_schema_correctness_index_fill_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0657102Z   test_schema_correctness_index_fill_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0657501Z   test_schema_correctness_index_fill_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0657942Z   test_schema_correctness_index_fill_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0658288Z   test_schema_correctness_index_fill_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0658549Z   test_schema_correctness_index_put_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0658795Z   test_schema_correctness_index_put_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0659052Z   test_schema_correctness_index_put_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0659314Z   test_schema_correctness_index_put_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0659573Z   test_schema_correctness_index_put_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0659824Z   test_schema_correctness_index_put_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0660148Z   test_schema_correctness_index_put_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0660409Z   test_schema_correctness_index_put_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0660655Z   test_schema_correctness_index_put_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0660902Z   test_schema_correctness_index_put_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0661148Z   test_schema_correctness_index_put_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0661398Z   test_schema_correctness_index_put_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0661642Z   test_schema_correctness_index_put_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0662652Z   test_schema_correctness_index_reduce_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/Indexing.cu:1047.)
2022-11-23T02:28:53.0662785Z   return self.op(*args, **kwargs)
2022-11-23T02:28:53.0662888Z ok (0.066s)
2022-11-23T02:28:53.0663129Z   test_schema_correctness_index_reduce_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.064s)
2022-11-23T02:28:53.0663385Z   test_schema_correctness_index_reduce_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T02:28:53.0663648Z   test_schema_correctness_index_reduce_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T02:28:53.0663901Z   test_schema_correctness_index_reduce_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T02:28:53.0664155Z   test_schema_correctness_index_reduce_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T02:28:53.0664408Z   test_schema_correctness_index_reduce_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.061s)
2022-11-23T02:28:53.0664662Z   test_schema_correctness_index_reduce_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.061s)
2022-11-23T02:28:53.0664913Z   test_schema_correctness_index_reduce_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T02:28:53.0665169Z   test_schema_correctness_index_select_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0665458Z   test_schema_correctness_index_select_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0665723Z   test_schema_correctness_index_select_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0665983Z   test_schema_correctness_index_select_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0666244Z   test_schema_correctness_index_select_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0666496Z   test_schema_correctness_index_select_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0666747Z   test_schema_correctness_index_select_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0666994Z   test_schema_correctness_index_select_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.223s)
2022-11-23T02:28:53.0667240Z   test_schema_correctness_index_select_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0667490Z   test_schema_correctness_index_select_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0667727Z   test_schema_correctness_index_select_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0668022Z   test_schema_correctness_index_select_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0668282Z   test_schema_correctness_index_select_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0668527Z   test_schema_correctness_inner_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.0668778Z   test_schema_correctness_inner_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.0669025Z   test_schema_correctness_inner_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.0669277Z   test_schema_correctness_inner_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.0669514Z   test_schema_correctness_inner_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.0669748Z   test_schema_correctness_inner_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.0670036Z   test_schema_correctness_int_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0670271Z   test_schema_correctness_int_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0670515Z   test_schema_correctness_int_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0670762Z   test_schema_correctness_int_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0671003Z   test_schema_correctness_int_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0671238Z   test_schema_correctness_int_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0671480Z   test_schema_correctness_int_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0671718Z   test_schema_correctness_int_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0671959Z   test_schema_correctness_int_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0672180Z   test_schema_correctness_int_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0672415Z   test_schema_correctness_int_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0672648Z   test_schema_correctness_int_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0672897Z   test_schema_correctness_isclose_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.180s)
2022-11-23T02:28:53.0673209Z   test_schema_correctness_isclose_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.197s)
2022-11-23T02:28:53.0673462Z   test_schema_correctness_isclose_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.187s)
2022-11-23T02:28:53.0673713Z   test_schema_correctness_isclose_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.186s)
2022-11-23T02:28:53.0673964Z   test_schema_correctness_isclose_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.178s)
2022-11-23T02:28:53.0674212Z   test_schema_correctness_isclose_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.177s)
2022-11-23T02:28:53.0674440Z   test_schema_correctness_isclose_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.179s)
2022-11-23T02:28:53.0674682Z   test_schema_correctness_isclose_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.185s)
2022-11-23T02:28:53.0674922Z   test_schema_correctness_isclose_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.184s)
2022-11-23T02:28:53.0675166Z   test_schema_correctness_isclose_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.180s)
2022-11-23T02:28:53.0675409Z   test_schema_correctness_isclose_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.180s)
2022-11-23T02:28:53.0675648Z   test_schema_correctness_isclose_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.183s)
2022-11-23T02:28:53.0676003Z   test_schema_correctness_isfinite_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0676251Z   test_schema_correctness_isfinite_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.054s)
2022-11-23T02:28:53.0676505Z   test_schema_correctness_isfinite_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0676741Z   test_schema_correctness_isfinite_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0676993Z   test_schema_correctness_isfinite_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.0677247Z   test_schema_correctness_isfinite_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0677495Z   test_schema_correctness_isfinite_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0677745Z   test_schema_correctness_isfinite_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0677992Z   test_schema_correctness_isfinite_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T02:28:53.0678239Z   test_schema_correctness_isfinite_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.054s)
2022-11-23T02:28:53.0678479Z   test_schema_correctness_isfinite_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.054s)
2022-11-23T02:28:53.0678722Z   test_schema_correctness_isfinite_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.054s)
2022-11-23T02:28:53.0678950Z   test_schema_correctness_isfinite_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T02:28:53.0679193Z   test_schema_correctness_isin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0679432Z   test_schema_correctness_isin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0679670Z   test_schema_correctness_isin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0679909Z   test_schema_correctness_isin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0680145Z   test_schema_correctness_isin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0680377Z   test_schema_correctness_isin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0680613Z   test_schema_correctness_isin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0680899Z   test_schema_correctness_isin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0681144Z   test_schema_correctness_isinf_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0681378Z   test_schema_correctness_isinf_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0681639Z   test_schema_correctness_isinf_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0681888Z   test_schema_correctness_isinf_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0682141Z   test_schema_correctness_isinf_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0682383Z   test_schema_correctness_isinf_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0682624Z   test_schema_correctness_isinf_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0682865Z   test_schema_correctness_isinf_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0683086Z   test_schema_correctness_isinf_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0683319Z   test_schema_correctness_isinf_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0683598Z   test_schema_correctness_isinf_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0683844Z   test_schema_correctness_isinf_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0684081Z   test_schema_correctness_isinf_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0684331Z   test_schema_correctness_isnan_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0684568Z   test_schema_correctness_isnan_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0684824Z   test_schema_correctness_isnan_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0685068Z   test_schema_correctness_isnan_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0685295Z   test_schema_correctness_isnan_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0685541Z   test_schema_correctness_isnan_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0685781Z   test_schema_correctness_isnan_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0686026Z   test_schema_correctness_isnan_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0686257Z   test_schema_correctness_isnan_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0686486Z   test_schema_correctness_isnan_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0686729Z   test_schema_correctness_isnan_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0686965Z   test_schema_correctness_isnan_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0687218Z   test_schema_correctness_isneginf_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0687448Z   test_schema_correctness_isneginf_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0687695Z   test_schema_correctness_isneginf_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0687946Z   test_schema_correctness_isneginf_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0688196Z   test_schema_correctness_isneginf_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0688442Z   test_schema_correctness_isneginf_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0688756Z   test_schema_correctness_isneginf_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0689002Z   test_schema_correctness_isneginf_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0689250Z   test_schema_correctness_isneginf_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0689500Z   test_schema_correctness_isneginf_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0689735Z   test_schema_correctness_isposinf_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0689980Z   test_schema_correctness_isposinf_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0690227Z   test_schema_correctness_isposinf_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0690484Z   test_schema_correctness_isposinf_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0690733Z   test_schema_correctness_isposinf_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0690981Z   test_schema_correctness_isposinf_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0691302Z   test_schema_correctness_isposinf_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0691561Z   test_schema_correctness_isposinf_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0691806Z   test_schema_correctness_isposinf_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0692037Z   test_schema_correctness_isposinf_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0692287Z   test_schema_correctness_isreal_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0692536Z   test_schema_correctness_isreal_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0692793Z   test_schema_correctness_isreal_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0693049Z   test_schema_correctness_isreal_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0693310Z   test_schema_correctness_isreal_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0693556Z   test_schema_correctness_isreal_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0693806Z   test_schema_correctness_isreal_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0694054Z   test_schema_correctness_isreal_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0694282Z   test_schema_correctness_isreal_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0694522Z   test_schema_correctness_isreal_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0694772Z   test_schema_correctness_isreal_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.0695020Z   test_schema_correctness_isreal_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0695267Z   test_schema_correctness_isreal_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0695516Z   test_schema_correctness_istft_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.675s)
2022-11-23T02:28:53.0695773Z   test_schema_correctness_istft_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.679s)
2022-11-23T02:28:53.0696593Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.095s)
2022-11-23T02:28:53.0697081Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.045s)
2022-11-23T02:28:53.0697829Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.104s)
2022-11-23T02:28:53.0698315Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.113s)
2022-11-23T02:28:53.0698651Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.044s)
2022-11-23T02:28:53.0698929Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.036s)
2022-11-23T02:28:53.0699196Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.033s)
2022-11-23T02:28:53.0699465Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.032s)
2022-11-23T02:28:53.0699730Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.036s)
2022-11-23T02:28:53.0700003Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.037s)
2022-11-23T02:28:53.0700373Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.035s)
2022-11-23T02:28:53.0700655Z   test_schema_correctness_jiterator_2inputs_2outputs_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.028s)
2022-11-23T02:28:53.0700919Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.382s)
2022-11-23T02:28:53.0701197Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.415s)
2022-11-23T02:28:53.0701489Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.222s)
2022-11-23T02:28:53.0701776Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.968s)
2022-11-23T02:28:53.0702061Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.366s)
2022-11-23T02:28:53.0702346Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.359s)
2022-11-23T02:28:53.0702631Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.368s)
2022-11-23T02:28:53.0702908Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.367s)
2022-11-23T02:28:53.0703185Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.331s)
2022-11-23T02:28:53.0703464Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.348s)
2022-11-23T02:28:53.0703726Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.330s)
2022-11-23T02:28:53.0704008Z   test_schema_correctness_jiterator_4inputs_with_extra_args_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.317s)
2022-11-23T02:28:53.0704271Z   test_schema_correctness_jiterator_binary_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.721s)
2022-11-23T02:28:53.0704529Z   test_schema_correctness_jiterator_binary_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.696s)
2022-11-23T02:28:53.0704792Z   test_schema_correctness_jiterator_binary_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.113s)
2022-11-23T02:28:53.0705056Z   test_schema_correctness_jiterator_binary_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.946s)
2022-11-23T02:28:53.0705477Z   test_schema_correctness_jiterator_binary_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.711s)
2022-11-23T02:28:53.0705739Z   test_schema_correctness_jiterator_binary_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.691s)
2022-11-23T02:28:53.0706005Z   test_schema_correctness_jiterator_binary_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.691s)
2022-11-23T02:28:53.0706244Z   test_schema_correctness_jiterator_binary_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.689s)
2022-11-23T02:28:53.0706502Z   test_schema_correctness_jiterator_binary_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.697s)
2022-11-23T02:28:53.0706749Z   test_schema_correctness_jiterator_binary_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.700s)
2022-11-23T02:28:53.0707008Z   test_schema_correctness_jiterator_binary_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.680s)
2022-11-23T02:28:53.0707267Z   test_schema_correctness_jiterator_binary_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.678s)
2022-11-23T02:28:53.0707548Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.723s)
2022-11-23T02:28:53.0707820Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.702s)
2022-11-23T02:28:53.0708220Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.745s)
2022-11-23T02:28:53.0708508Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.745s)
2022-11-23T02:28:53.0708786Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.692s)
2022-11-23T02:28:53.0709044Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.686s)
2022-11-23T02:28:53.0709321Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.696s)
2022-11-23T02:28:53.0709595Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.711s)
2022-11-23T02:28:53.0709870Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.708s)
2022-11-23T02:28:53.0710142Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.704s)
2022-11-23T02:28:53.0710410Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.704s)
2022-11-23T02:28:53.0710678Z   test_schema_correctness_jiterator_binary_return_by_ref_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.702s)
2022-11-23T02:28:53.0710936Z   test_schema_correctness_jiterator_unary_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.270s)
2022-11-23T02:28:53.0711199Z   test_schema_correctness_jiterator_unary_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.259s)
2022-11-23T02:28:53.0711467Z   test_schema_correctness_jiterator_unary_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.432s)
2022-11-23T02:28:53.0711716Z   test_schema_correctness_jiterator_unary_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.364s)
2022-11-23T02:28:53.0711975Z   test_schema_correctness_jiterator_unary_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.257s)
2022-11-23T02:28:53.0712236Z   test_schema_correctness_jiterator_unary_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.252s)
2022-11-23T02:28:53.0712493Z   test_schema_correctness_jiterator_unary_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.252s)
2022-11-23T02:28:53.0712748Z   test_schema_correctness_jiterator_unary_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.252s)
2022-11-23T02:28:53.0713063Z   test_schema_correctness_jiterator_unary_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.253s)
2022-11-23T02:28:53.0713315Z   test_schema_correctness_jiterator_unary_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.256s)
2022-11-23T02:28:53.0713573Z   test_schema_correctness_jiterator_unary_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.254s)
2022-11-23T02:28:53.0713822Z   test_schema_correctness_jiterator_unary_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.256s)
2022-11-23T02:28:53.0714051Z   test_schema_correctness_kron_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0714289Z   test_schema_correctness_kron_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0714541Z   test_schema_correctness_kron_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0714791Z   test_schema_correctness_kron_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0715048Z   test_schema_correctness_kron_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0715294Z   test_schema_correctness_kron_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0715651Z   test_schema_correctness_kron_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0715900Z   test_schema_correctness_kron_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0716130Z   test_schema_correctness_kron_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0716343Z   test_schema_correctness_kron_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0716582Z   test_schema_correctness_kron_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0716831Z   test_schema_correctness_kron_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0717087Z   test_schema_correctness_kthvalue_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0717338Z   test_schema_correctness_kthvalue_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0717589Z   test_schema_correctness_kthvalue_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0717833Z   test_schema_correctness_kthvalue_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0718082Z   test_schema_correctness_kthvalue_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0718329Z   test_schema_correctness_kthvalue_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0718568Z   test_schema_correctness_kthvalue_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0718815Z   test_schema_correctness_kthvalue_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0719054Z   test_schema_correctness_lcm_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.746s)
2022-11-23T02:28:53.0719294Z   test_schema_correctness_lcm_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.723s)
2022-11-23T02:28:53.0719531Z   test_schema_correctness_lcm_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.819s)
2022-11-23T02:28:53.0719770Z   test_schema_correctness_lcm_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.736s)
2022-11-23T02:28:53.0720006Z   test_schema_correctness_lcm_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.721s)
2022-11-23T02:28:53.0720249Z   test_schema_correctness_ldexp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0720492Z   test_schema_correctness_ldexp_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0720799Z   test_schema_correctness_ldexp_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0721053Z   test_schema_correctness_ldexp_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0721300Z   test_schema_correctness_ldexp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0721605Z   test_schema_correctness_ldexp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0721844Z   test_schema_correctness_ldexp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0722083Z   test_schema_correctness_ldexp_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0722315Z   test_schema_correctness_ldexp_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0722555Z   test_schema_correctness_ldexp_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0722796Z   test_schema_correctness_ldexp_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0723016Z   test_schema_correctness_ldexp_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0723248Z   test_schema_correctness_le_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0723539Z   test_schema_correctness_le_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0723791Z   test_schema_correctness_le_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0724025Z   test_schema_correctness_le_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0724254Z   test_schema_correctness_le_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0724492Z   test_schema_correctness_le_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0724736Z   test_schema_correctness_le_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0724957Z   test_schema_correctness_le_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0725194Z   test_schema_correctness_le_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0725429Z   test_schema_correctness_le_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0725680Z   test_schema_correctness_lerp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.0725933Z   test_schema_correctness_lerp_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.0726184Z   test_schema_correctness_lerp_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.0726429Z   test_schema_correctness_lerp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0726677Z   test_schema_correctness_lerp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0726910Z   test_schema_correctness_lerp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0727135Z   test_schema_correctness_lgamma_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.403s)
2022-11-23T02:28:53.0727386Z   test_schema_correctness_lgamma_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.361s)
2022-11-23T02:28:53.0727632Z   test_schema_correctness_lgamma_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.360s)
2022-11-23T02:28:53.0727880Z   test_schema_correctness_lgamma_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.370s)
2022-11-23T02:28:53.0728123Z   test_schema_correctness_lgamma_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0728366Z   test_schema_correctness_lgamma_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0728686Z   test_schema_correctness_lgamma_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0728930Z   test_schema_correctness_lgamma_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0729174Z   test_schema_correctness_lgamma_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0729424Z   test_schema_correctness_linalg_cholesky_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0729688Z   test_schema_correctness_linalg_cholesky_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0729949Z   test_schema_correctness_linalg_cholesky_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.0730211Z   test_schema_correctness_linalg_cholesky_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.0730482Z   test_schema_correctness_linalg_cholesky_ex_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0730747Z   test_schema_correctness_linalg_cholesky_ex_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0731008Z   test_schema_correctness_linalg_cholesky_ex_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0731373Z   test_schema_correctness_linalg_cholesky_ex_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.0731644Z   test_schema_correctness_linalg_cond_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0731887Z   test_schema_correctness_linalg_cond_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0732140Z   test_schema_correctness_linalg_cond_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0732395Z   test_schema_correctness_linalg_cond_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0732662Z   test_schema_correctness_linalg_cross_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0732925Z   test_schema_correctness_linalg_cross_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0733185Z   test_schema_correctness_linalg_cross_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0733441Z   test_schema_correctness_linalg_cross_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0733690Z   test_schema_correctness_linalg_cross_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0733942Z   test_schema_correctness_linalg_cross_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0734203Z   test_schema_correctness_linalg_cross_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0734442Z   test_schema_correctness_linalg_cross_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0734693Z   test_schema_correctness_linalg_cross_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0734945Z   test_schema_correctness_linalg_cross_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0735205Z   test_schema_correctness_linalg_det_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.968s)
2022-11-23T02:28:53.0735458Z   test_schema_correctness_linalg_det_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.635s)
2022-11-23T02:28:53.0735712Z   test_schema_correctness_linalg_det_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0735964Z   test_schema_correctness_linalg_det_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0737093Z   test_schema_correctness_linalg_det_singular_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.252s)
2022-11-23T02:28:53.0737798Z   test_schema_correctness_linalg_det_singular_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.268s)
2022-11-23T02:28:53.0738166Z   test_schema_correctness_linalg_det_singular_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.0738436Z   test_schema_correctness_linalg_det_singular_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.0738695Z   test_schema_correctness_linalg_eig_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T02:28:53.0738951Z   test_schema_correctness_linalg_eig_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0739201Z   test_schema_correctness_linalg_eig_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0739451Z   test_schema_correctness_linalg_eig_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0739720Z   test_schema_correctness_linalg_eigh_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T02:28:53.0739979Z   test_schema_correctness_linalg_eigh_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0740315Z   test_schema_correctness_linalg_eigh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0740555Z   test_schema_correctness_linalg_eigh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0740819Z   test_schema_correctness_linalg_eigvals_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T02:28:53.0741085Z   test_schema_correctness_linalg_eigvals_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0741343Z   test_schema_correctness_linalg_eigvals_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0741656Z   test_schema_correctness_linalg_eigvals_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0741929Z   test_schema_correctness_linalg_eigvalsh_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T02:28:53.0742195Z   test_schema_correctness_linalg_eigvalsh_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0742458Z   test_schema_correctness_linalg_eigvalsh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0742740Z   test_schema_correctness_linalg_eigvalsh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0743013Z   test_schema_correctness_linalg_householder_product_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0743304Z   test_schema_correctness_linalg_householder_product_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0743577Z   test_schema_correctness_linalg_householder_product_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0743845Z   test_schema_correctness_linalg_householder_product_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0744112Z   test_schema_correctness_linalg_inv_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.0744340Z   test_schema_correctness_linalg_inv_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0744593Z   test_schema_correctness_linalg_inv_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0744842Z   test_schema_correctness_linalg_inv_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.0745102Z   test_schema_correctness_linalg_inv_ex_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0745425Z   test_schema_correctness_linalg_inv_ex_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0745662Z   test_schema_correctness_linalg_inv_ex_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0745914Z   test_schema_correctness_linalg_inv_ex_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0746188Z   test_schema_correctness_linalg_ldl_factor_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0746456Z   test_schema_correctness_linalg_ldl_factor_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0746716Z   test_schema_correctness_linalg_ldl_factor_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0746973Z   test_schema_correctness_linalg_ldl_factor_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0747240Z   test_schema_correctness_linalg_ldl_factor_ex_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0747511Z   test_schema_correctness_linalg_ldl_factor_ex_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0747778Z   test_schema_correctness_linalg_ldl_factor_ex_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0748074Z   test_schema_correctness_linalg_ldl_factor_ex_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0748408Z   test_schema_correctness_linalg_ldl_solve_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.0748665Z   test_schema_correctness_linalg_ldl_solve_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.0748920Z   test_schema_correctness_linalg_ldl_solve_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0749178Z   test_schema_correctness_linalg_ldl_solve_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T02:28:53.0749442Z   test_schema_correctness_linalg_lstsq_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0749698Z   test_schema_correctness_linalg_lstsq_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0749953Z   test_schema_correctness_linalg_lstsq_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0750204Z   test_schema_correctness_linalg_lstsq_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.0750483Z   test_schema_correctness_linalg_lstsq_grad_oriented_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.0750743Z   test_schema_correctness_linalg_lstsq_grad_oriented_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.0751020Z   test_schema_correctness_linalg_lstsq_grad_oriented_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.0751295Z   test_schema_correctness_linalg_lstsq_grad_oriented_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.0751549Z   test_schema_correctness_linalg_lu_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T02:28:53.0751806Z   test_schema_correctness_linalg_lu_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.0752056Z   test_schema_correctness_linalg_lu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.0752299Z   test_schema_correctness_linalg_lu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.0752564Z   test_schema_correctness_linalg_lu_factor_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.203s)
2022-11-23T02:28:53.0752824Z   test_schema_correctness_linalg_lu_factor_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.102s)
2022-11-23T02:28:53.0753122Z   test_schema_correctness_linalg_lu_factor_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.089s)
2022-11-23T02:28:53.0753379Z   test_schema_correctness_linalg_lu_factor_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.102s)
2022-11-23T02:28:53.0753648Z   test_schema_correctness_linalg_lu_factor_ex_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.0753912Z   test_schema_correctness_linalg_lu_factor_ex_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.0754171Z   test_schema_correctness_linalg_lu_factor_ex_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.0754433Z   test_schema_correctness_linalg_lu_factor_ex_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.0754697Z   test_schema_correctness_linalg_lu_solve_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.191s)
2022-11-23T02:28:53.0754958Z   test_schema_correctness_linalg_lu_solve_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.177s)
2022-11-23T02:28:53.0755215Z   test_schema_correctness_linalg_lu_solve_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.162s)
2022-11-23T02:28:53.0755505Z   test_schema_correctness_linalg_lu_solve_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.166s)
2022-11-23T02:28:53.0755773Z   test_schema_correctness_linalg_matrix_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.080s)
2022-11-23T02:28:53.0756062Z   test_schema_correctness_linalg_matrix_norm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.211s)
2022-11-23T02:28:53.0756305Z   test_schema_correctness_linalg_matrix_norm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.188s)
2022-11-23T02:28:53.0756567Z   test_schema_correctness_linalg_matrix_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.080s)
2022-11-23T02:28:53.0756824Z   test_schema_correctness_linalg_matrix_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.177s)
2022-11-23T02:28:53.0757072Z   test_schema_correctness_linalg_matrix_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.177s)
2022-11-23T02:28:53.0757347Z   test_schema_correctness_linalg_matrix_power_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.203s)
2022-11-23T02:28:53.0757613Z   test_schema_correctness_linalg_matrix_power_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.201s)
2022-11-23T02:28:53.0757873Z   test_schema_correctness_linalg_matrix_power_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.191s)
2022-11-23T02:28:53.0758113Z   test_schema_correctness_linalg_matrix_power_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.191s)
2022-11-23T02:28:53.0758372Z   test_schema_correctness_linalg_matrix_rank_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.091s)
2022-11-23T02:28:53.0758683Z   test_schema_correctness_linalg_matrix_rank_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.909s)
2022-11-23T02:28:53.0758934Z   test_schema_correctness_linalg_matrix_rank_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.883s)
2022-11-23T02:28:53.0759164Z   test_schema_correctness_linalg_matrix_rank_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.906s)
2022-11-23T02:28:53.0759448Z   test_schema_correctness_linalg_matrix_rank_hermitian_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.511s)
2022-11-23T02:28:53.0759728Z   test_schema_correctness_linalg_matrix_rank_hermitian_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.502s)
2022-11-23T02:28:53.0760004Z   test_schema_correctness_linalg_matrix_rank_hermitian_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.499s)
2022-11-23T02:28:53.0760279Z   test_schema_correctness_linalg_matrix_rank_hermitian_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.502s)
2022-11-23T02:28:53.0760599Z   test_schema_correctness_linalg_multi_dot_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.0760845Z   test_schema_correctness_linalg_multi_dot_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0761112Z   test_schema_correctness_linalg_multi_dot_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.0761372Z   test_schema_correctness_linalg_multi_dot_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.0761629Z   test_schema_correctness_linalg_multi_dot_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.0761883Z   test_schema_correctness_linalg_multi_dot_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.0762134Z   test_schema_correctness_linalg_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.098s)
2022-11-23T02:28:53.0762393Z   test_schema_correctness_linalg_norm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.214s)
2022-11-23T02:28:53.0762646Z   test_schema_correctness_linalg_norm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.185s)
2022-11-23T02:28:53.0762949Z   test_schema_correctness_linalg_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.098s)
2022-11-23T02:28:53.0763193Z   test_schema_correctness_linalg_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.176s)
2022-11-23T02:28:53.0763440Z   test_schema_correctness_linalg_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.179s)
2022-11-23T02:28:53.0763725Z   test_schema_correctness_linalg_norm_subgradients_at_zero_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.077s)
2022-11-23T02:28:53.0764015Z   test_schema_correctness_linalg_norm_subgradients_at_zero_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.129s)
2022-11-23T02:28:53.0764306Z   test_schema_correctness_linalg_norm_subgradients_at_zero_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.128s)
2022-11-23T02:28:53.0764587Z   test_schema_correctness_linalg_norm_subgradients_at_zero_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.077s)
2022-11-23T02:28:53.0764871Z   test_schema_correctness_linalg_norm_subgradients_at_zero_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.122s)
2022-11-23T02:28:53.0765152Z   test_schema_correctness_linalg_norm_subgradients_at_zero_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.122s)
2022-11-23T02:28:53.0765412Z   test_schema_correctness_linalg_pinv_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.446s)
2022-11-23T02:28:53.0765668Z   test_schema_correctness_linalg_pinv_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.404s)
2022-11-23T02:28:53.0765907Z   test_schema_correctness_linalg_pinv_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.397s)
2022-11-23T02:28:53.0766163Z   test_schema_correctness_linalg_pinv_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.403s)
2022-11-23T02:28:53.0766438Z   test_schema_correctness_linalg_pinv_hermitian_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.0766715Z   test_schema_correctness_linalg_pinv_hermitian_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0766982Z   test_schema_correctness_linalg_pinv_hermitian_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0767245Z   test_schema_correctness_linalg_pinv_hermitian_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0767605Z   test_schema_correctness_linalg_pinv_singular_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T02:28:53.0767957Z   test_schema_correctness_linalg_pinv_singular_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T02:28:53.0768419Z   test_schema_correctness_linalg_pinv_singular_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T02:28:53.0768759Z   test_schema_correctness_linalg_pinv_singular_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T02:28:53.0769005Z   test_schema_correctness_linalg_qr_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.0769259Z   test_schema_correctness_linalg_qr_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T02:28:53.0769510Z   test_schema_correctness_linalg_qr_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.0769767Z   test_schema_correctness_linalg_qr_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.0770030Z   test_schema_correctness_linalg_slogdet_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.534s)
2022-11-23T02:28:53.0770291Z   test_schema_correctness_linalg_slogdet_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.510s)
2022-11-23T02:28:53.0770601Z   test_schema_correctness_linalg_slogdet_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0770866Z   test_schema_correctness_linalg_slogdet_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0771124Z   test_schema_correctness_linalg_solve_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.074s)
2022-11-23T02:28:53.0771384Z   test_schema_correctness_linalg_solve_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0771623Z   test_schema_correctness_linalg_solve_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T02:28:53.0771883Z   test_schema_correctness_linalg_solve_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.0772151Z   test_schema_correctness_linalg_solve_ex_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0772416Z   test_schema_correctness_linalg_solve_ex_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.0772677Z   test_schema_correctness_linalg_solve_ex_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.0772940Z   test_schema_correctness_linalg_solve_ex_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.0773215Z   test_schema_correctness_linalg_solve_triangular_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.194s)
2022-11-23T02:28:53.0773491Z   test_schema_correctness_linalg_solve_triangular_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.193s)
2022-11-23T02:28:53.0773772Z   test_schema_correctness_linalg_solve_triangular_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.176s)
2022-11-23T02:28:53.0774029Z   test_schema_correctness_linalg_solve_triangular_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.176s)
2022-11-23T02:28:53.0774293Z   test_schema_correctness_linalg_svd_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.643s)
2022-11-23T02:28:53.0774551Z   test_schema_correctness_linalg_svd_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.320s)
2022-11-23T02:28:53.0774810Z   test_schema_correctness_linalg_svd_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.276s)
2022-11-23T02:28:53.0775059Z   test_schema_correctness_linalg_svd_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.302s)
2022-11-23T02:28:53.0775323Z   test_schema_correctness_linalg_svdvals_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.0775674Z   test_schema_correctness_linalg_svdvals_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T02:28:53.0775934Z   test_schema_correctness_linalg_svdvals_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T02:28:53.0776602Z   test_schema_correctness_linalg_svdvals_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.0777064Z   test_schema_correctness_linalg_tensorinv_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0777535Z   test_schema_correctness_linalg_tensorinv_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0777991Z   test_schema_correctness_linalg_tensorinv_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0778262Z   test_schema_correctness_linalg_tensorinv_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0778541Z   test_schema_correctness_linalg_tensorsolve_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.0778808Z   test_schema_correctness_linalg_tensorsolve_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.0779209Z   test_schema_correctness_linalg_tensorsolve_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.0779500Z   test_schema_correctness_linalg_tensorsolve_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.0779742Z   test_schema_correctness_linalg_vander_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T02:28:53.0780001Z   test_schema_correctness_linalg_vander_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T02:28:53.0780244Z   test_schema_correctness_linalg_vander_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.054s)
2022-11-23T02:28:53.0780500Z   test_schema_correctness_linalg_vander_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.0780755Z   test_schema_correctness_linalg_vander_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.054s)
2022-11-23T02:28:53.0781006Z   test_schema_correctness_linalg_vander_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.0781254Z   test_schema_correctness_linalg_vander_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0781512Z   test_schema_correctness_linalg_vander_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0781767Z   test_schema_correctness_linalg_vander_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.0782024Z   test_schema_correctness_linalg_vecdot_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.078s)
2022-11-23T02:28:53.0782304Z   test_schema_correctness_linalg_vecdot_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0782571Z   test_schema_correctness_linalg_vecdot_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.0782830Z   test_schema_correctness_linalg_vecdot_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.080s)
2022-11-23T02:28:53.0783085Z   test_schema_correctness_linalg_vecdot_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.079s)
2022-11-23T02:28:53.0783335Z   test_schema_correctness_linalg_vecdot_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.079s)
2022-11-23T02:28:53.0783596Z   test_schema_correctness_linalg_vector_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.307s)
2022-11-23T02:28:53.0783861Z   test_schema_correctness_linalg_vector_norm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.318s)
2022-11-23T02:28:53.0784125Z   test_schema_correctness_linalg_vector_norm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.319s)
2022-11-23T02:28:53.0784486Z   test_schema_correctness_linalg_vector_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.305s)
2022-11-23T02:28:53.0784747Z   test_schema_correctness_linalg_vector_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.307s)
2022-11-23T02:28:53.0784987Z   test_schema_correctness_linalg_vector_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.305s)
2022-11-23T02:28:53.0785241Z   test_schema_correctness_linspace_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.251s)
2022-11-23T02:28:53.0785493Z   test_schema_correctness_linspace_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.250s)
2022-11-23T02:28:53.0785749Z   test_schema_correctness_linspace_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.251s)
2022-11-23T02:28:53.0786001Z   test_schema_correctness_linspace_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.249s)
2022-11-23T02:28:53.0786253Z   test_schema_correctness_linspace_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.250s)
2022-11-23T02:28:53.0786503Z   test_schema_correctness_linspace_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.249s)
2022-11-23T02:28:53.0786752Z   test_schema_correctness_linspace_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.250s)
2022-11-23T02:28:53.0787074Z   test_schema_correctness_linspace_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.249s)
2022-11-23T02:28:53.0787313Z   test_schema_correctness_linspace_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.251s)
2022-11-23T02:28:53.0787562Z   test_schema_correctness_linspace_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.250s)
2022-11-23T02:28:53.0787806Z   test_schema_correctness_linspace_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.202s)
2022-11-23T02:28:53.0788050Z   test_schema_correctness_log10_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0788294Z   test_schema_correctness_log10_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0788543Z   test_schema_correctness_log10_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.387s)
2022-11-23T02:28:53.0788794Z   test_schema_correctness_log10_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.335s)
2022-11-23T02:28:53.0789037Z   test_schema_correctness_log10_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0789276Z   test_schema_correctness_log10_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0789500Z   test_schema_correctness_log10_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0789737Z   test_schema_correctness_log10_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0789967Z   test_schema_correctness_log10_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0790198Z   test_schema_correctness_log10_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0790436Z   test_schema_correctness_log10_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0790679Z   test_schema_correctness_log10_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0790922Z   test_schema_correctness_log1p_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0791166Z   test_schema_correctness_log1p_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0791407Z   test_schema_correctness_log1p_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0791626Z   test_schema_correctness_log1p_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0791868Z   test_schema_correctness_log1p_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0792170Z   test_schema_correctness_log1p_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0792402Z   test_schema_correctness_log1p_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0792634Z   test_schema_correctness_log1p_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0792871Z   test_schema_correctness_log1p_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0793113Z   test_schema_correctness_log1p_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0793355Z   test_schema_correctness_log2_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0793596Z   test_schema_correctness_log2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0793826Z   test_schema_correctness_log2_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.384s)
2022-11-23T02:28:53.0794075Z   test_schema_correctness_log2_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.335s)
2022-11-23T02:28:53.0794320Z   test_schema_correctness_log2_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0794608Z   test_schema_correctness_log2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0794851Z   test_schema_correctness_log2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0795093Z   test_schema_correctness_log2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0795324Z   test_schema_correctness_log2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0795557Z   test_schema_correctness_log2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0795790Z   test_schema_correctness_log2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0796013Z   test_schema_correctness_log2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0796258Z   test_schema_correctness_log_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0796498Z   test_schema_correctness_log_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0796744Z   test_schema_correctness_log_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.359s)
2022-11-23T02:28:53.0796991Z   test_schema_correctness_log_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0797229Z   test_schema_correctness_log_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.316s)
2022-11-23T02:28:53.0797471Z   test_schema_correctness_log_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0797708Z   test_schema_correctness_log_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0797948Z   test_schema_correctness_log_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0798171Z   test_schema_correctness_log_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0798416Z   test_schema_correctness_log_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0798658Z   test_schema_correctness_log_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0798896Z   test_schema_correctness_log_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0799127Z   test_schema_correctness_log_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0799385Z   test_schema_correctness_log_softmax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0799712Z   test_schema_correctness_log_softmax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0799965Z   test_schema_correctness_log_softmax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0800214Z   test_schema_correctness_log_softmax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0800473Z   test_schema_correctness_log_softmax_with_dtype_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.0800738Z   test_schema_correctness_log_softmax_with_dtype_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.0801012Z   test_schema_correctness_log_softmax_with_dtype_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.084s)
2022-11-23T02:28:53.0801285Z   test_schema_correctness_log_softmax_with_dtype_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0801551Z   test_schema_correctness_log_softmax_with_dtype_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.0801832Z   test_schema_correctness_log_softmax_with_dtype_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.0802100Z   test_schema_correctness_log_softmax_with_dtype_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.0802442Z   test_schema_correctness_log_softmax_with_dtype_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0802718Z   test_schema_correctness_log_softmax_with_dtype_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.0802963Z   test_schema_correctness_log_softmax_with_dtype_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.0803218Z   test_schema_correctness_log_softmax_with_dtype_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.084s)
2022-11-23T02:28:53.0803488Z   test_schema_correctness_log_softmax_with_dtype_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.0803757Z   test_schema_correctness_log_softmax_with_dtype_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.0804012Z   test_schema_correctness_logaddexp2_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0804278Z   test_schema_correctness_logaddexp2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0804535Z   test_schema_correctness_logaddexp2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0804792Z   test_schema_correctness_logaddexp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0805047Z   test_schema_correctness_logaddexp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0805284Z   test_schema_correctness_logaddexp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0805553Z   test_schema_correctness_logcumsumexp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0805812Z   test_schema_correctness_logcumsumexp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0806074Z   test_schema_correctness_logcumsumexp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0806333Z   test_schema_correctness_logcumsumexp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0806593Z   test_schema_correctness_logdet_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.0806845Z   test_schema_correctness_logdet_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0807090Z   test_schema_correctness_logdet_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.128s)
2022-11-23T02:28:53.0807433Z   test_schema_correctness_logdet_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.127s)
2022-11-23T02:28:53.0807691Z   test_schema_correctness_logical_and_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0807923Z   test_schema_correctness_logical_and_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0808184Z   test_schema_correctness_logical_and_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.275s)
2022-11-23T02:28:53.0808442Z   test_schema_correctness_logical_and_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.251s)
2022-11-23T02:28:53.0808694Z   test_schema_correctness_logical_and_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0808947Z   test_schema_correctness_logical_and_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0809192Z   test_schema_correctness_logical_and_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0809440Z   test_schema_correctness_logical_and_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0809688Z   test_schema_correctness_logical_and_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0809977Z   test_schema_correctness_logical_and_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0810216Z   test_schema_correctness_logical_and_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0810466Z   test_schema_correctness_logical_and_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0810720Z   test_schema_correctness_logical_not_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0810964Z   test_schema_correctness_logical_not_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0811228Z   test_schema_correctness_logical_not_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0811486Z   test_schema_correctness_logical_not_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0811746Z   test_schema_correctness_logical_not_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0812001Z   test_schema_correctness_logical_not_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0812254Z   test_schema_correctness_logical_not_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0812486Z   test_schema_correctness_logical_not_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0812733Z   test_schema_correctness_logical_not_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0812986Z   test_schema_correctness_logical_not_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0813244Z   test_schema_correctness_logical_not_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0813493Z   test_schema_correctness_logical_not_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0813749Z   test_schema_correctness_logical_or_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0814000Z   test_schema_correctness_logical_or_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0814259Z   test_schema_correctness_logical_or_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.283s)
2022-11-23T02:28:53.0814520Z   test_schema_correctness_logical_or_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.269s)
2022-11-23T02:28:53.0814758Z   test_schema_correctness_logical_or_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0815090Z   test_schema_correctness_logical_or_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0815338Z   test_schema_correctness_logical_or_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0815588Z   test_schema_correctness_logical_or_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0815845Z   test_schema_correctness_logical_or_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0816502Z   test_schema_correctness_logical_or_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0816956Z   test_schema_correctness_logical_or_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0817377Z   test_schema_correctness_logical_or_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0817825Z   test_schema_correctness_logical_xor_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0818200Z   test_schema_correctness_logical_xor_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0818466Z   test_schema_correctness_logical_xor_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.274s)
2022-11-23T02:28:53.0818865Z   test_schema_correctness_logical_xor_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.281s)
2022-11-23T02:28:53.0819132Z   test_schema_correctness_logical_xor_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0819386Z   test_schema_correctness_logical_xor_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0819630Z   test_schema_correctness_logical_xor_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0819878Z   test_schema_correctness_logical_xor_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0820125Z   test_schema_correctness_logical_xor_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0820377Z   test_schema_correctness_logical_xor_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0820606Z   test_schema_correctness_logical_xor_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0820854Z   test_schema_correctness_logical_xor_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0821103Z   test_schema_correctness_logit_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0821344Z   test_schema_correctness_logit_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0821634Z   test_schema_correctness_logit_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0821873Z   test_schema_correctness_logit_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0822111Z   test_schema_correctness_logit_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0822350Z   test_schema_correctness_logit_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0822584Z   test_schema_correctness_logit_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0822798Z   test_schema_correctness_logit_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0823038Z   test_schema_correctness_logit_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0823270Z   test_schema_correctness_logit_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0823522Z   test_schema_correctness_logspace_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.173s)
2022-11-23T02:28:53.0823781Z   test_schema_correctness_logspace_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.166s)
2022-11-23T02:28:53.0824126Z   test_schema_correctness_logspace_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.169s)
2022-11-23T02:28:53.0824378Z   test_schema_correctness_logspace_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.175s)
2022-11-23T02:28:53.0824628Z   test_schema_correctness_logspace_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.170s)
2022-11-23T02:28:53.0824874Z   test_schema_correctness_logspace_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.169s)
2022-11-23T02:28:53.0825106Z   test_schema_correctness_logspace_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.033s)
2022-11-23T02:28:53.0825351Z   test_schema_correctness_logspace_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.032s)
2022-11-23T02:28:53.0825596Z   test_schema_correctness_logspace_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.033s)
2022-11-23T02:28:53.0825846Z   test_schema_correctness_logspace_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.817s)
2022-11-23T02:28:53.0826165Z   test_schema_correctness_logspace_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.655s)
2022-11-23T02:28:53.0826421Z   test_schema_correctness_logsumexp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0826717Z   test_schema_correctness_logsumexp_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0826979Z   test_schema_correctness_logsumexp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0827233Z   test_schema_correctness_logsumexp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0827462Z   test_schema_correctness_logsumexp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.0827713Z   test_schema_correctness_logsumexp_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0827969Z   test_schema_correctness_logsumexp_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0828223Z   test_schema_correctness_logsumexp_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0828469Z   test_schema_correctness_logsumexp_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0828719Z   test_schema_correctness_logsumexp_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0828964Z   test_schema_correctness_long_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0829201Z   test_schema_correctness_long_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0829445Z   test_schema_correctness_long_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0829674Z   test_schema_correctness_long_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0829914Z   test_schema_correctness_long_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0830158Z   test_schema_correctness_long_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0830394Z   test_schema_correctness_long_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0830629Z   test_schema_correctness_long_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0830873Z   test_schema_correctness_long_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0831110Z   test_schema_correctness_long_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0831339Z   test_schema_correctness_long_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.0831574Z   test_schema_correctness_long_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.0831860Z   test_schema_correctness_long_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0832101Z   test_schema_correctness_lt_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0832340Z   test_schema_correctness_lt_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0832580Z   test_schema_correctness_lt_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0832813Z   test_schema_correctness_lt_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0833050Z   test_schema_correctness_lt_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0833284Z   test_schema_correctness_lt_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0833520Z   test_schema_correctness_lt_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0833742Z   test_schema_correctness_lt_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0833976Z   test_schema_correctness_lt_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0834211Z   test_schema_correctness_lt_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0835177Z   test_schema_correctness_lu_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/functional.py:1727: UserWarning: torch.lu is deprecated in favor of torch.linalg.lu_factor / torch.linalg.lu_factor_ex and will be removed in a future PyTorch release.
2022-11-23T02:28:53.0835330Z LU, pivots = torch.lu(A, compute_pivots)
2022-11-23T02:28:53.0835449Z should be replaced with
2022-11-23T02:28:53.0835620Z LU, pivots = torch.linalg.lu_factor(A, compute_pivots)
2022-11-23T02:28:53.0835712Z and
2022-11-23T02:28:53.0835889Z LU, pivots, info = torch.lu(A, compute_pivots, get_infos=True)
2022-11-23T02:28:53.0835997Z should be replaced with
2022-11-23T02:28:53.0836329Z LU, pivots, info = torch.linalg.lu_factor_ex(A, compute_pivots) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2028.)
2022-11-23T02:28:53.0836520Z   return torch._lu_with_info(A, pivot=pivot, check_errors=(not get_infos))
2022-11-23T02:28:53.0836621Z ok (0.173s)
2022-11-23T02:28:53.0836870Z   test_schema_correctness_lu_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.079s)
2022-11-23T02:28:53.0837111Z   test_schema_correctness_lu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.064s)
2022-11-23T02:28:53.0837343Z   test_schema_correctness_lu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.076s)
2022-11-23T02:28:53.0838115Z   test_schema_correctness_lu_solve_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: torch.lu_solve is deprecated in favor of torch.linalg.lu_solveand will be removed in a future PyTorch release.
2022-11-23T02:28:53.0838298Z Note that torch.linalg.lu_solve has its arguments reversed.
2022-11-23T02:28:53.0838415Z X = torch.lu_solve(B, LU, pivots)
2022-11-23T02:28:53.0838530Z should be replaced with
2022-11-23T02:28:53.0838843Z X = torch.linalg.lu_solve(LU, pivots, B) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2182.)
2022-11-23T02:28:53.0838970Z   return self.op(*args, **kwargs)
2022-11-23T02:28:53.0839067Z ok (0.075s)
2022-11-23T02:28:53.0839323Z   test_schema_correctness_lu_solve_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T02:28:53.0839575Z   test_schema_correctness_lu_solve_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T02:28:53.0839827Z   test_schema_correctness_lu_solve_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.0840199Z   test_schema_correctness_lu_unpack_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T02:28:53.0840456Z   test_schema_correctness_lu_unpack_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.060s)
2022-11-23T02:28:53.0840705Z   test_schema_correctness_lu_unpack_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.056s)
2022-11-23T02:28:53.0840955Z   test_schema_correctness_lu_unpack_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T02:28:53.0841197Z   test_schema_correctness_mH_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0841433Z   test_schema_correctness_mH_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0841678Z   test_schema_correctness_mH_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0841919Z   test_schema_correctness_mH_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0842171Z   test_schema_correctness_mH_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0842400Z   test_schema_correctness_mH_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0842631Z   test_schema_correctness_mH_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0842938Z   test_schema_correctness_mH_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0843183Z   test_schema_correctness_mH_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0843423Z   test_schema_correctness_mH_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0843657Z   test_schema_correctness_mH_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0843892Z   test_schema_correctness_mH_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0844136Z   test_schema_correctness_mH_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0844361Z   test_schema_correctness_mT_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0844598Z   test_schema_correctness_mT_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0844845Z   test_schema_correctness_mT_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0845090Z   test_schema_correctness_mT_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0845326Z   test_schema_correctness_mT_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0845559Z   test_schema_correctness_mT_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0845797Z   test_schema_correctness_mT_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0846036Z   test_schema_correctness_mT_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0846270Z   test_schema_correctness_mT_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0846490Z   test_schema_correctness_mT_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0846729Z   test_schema_correctness_mT_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0846969Z   test_schema_correctness_mT_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0847201Z   test_schema_correctness_mT_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0847453Z   test_schema_correctness_masked_amax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.367s)
2022-11-23T02:28:53.0847709Z   test_schema_correctness_masked_amax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.369s)
2022-11-23T02:28:53.0848028Z   test_schema_correctness_masked_amax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.365s)
2022-11-23T02:28:53.0848285Z   test_schema_correctness_masked_amax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.369s)
2022-11-23T02:28:53.0848542Z   test_schema_correctness_masked_amax_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.315s)
2022-11-23T02:28:53.0848774Z   test_schema_correctness_masked_amax_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.314s)
2022-11-23T02:28:53.0849024Z   test_schema_correctness_masked_amax_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.320s)
2022-11-23T02:28:53.0849273Z   test_schema_correctness_masked_amax_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.315s)
2022-11-23T02:28:53.0849522Z   test_schema_correctness_masked_amax_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.315s)
2022-11-23T02:28:53.0849780Z   test_schema_correctness_masked_amin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.368s)
2022-11-23T02:28:53.0850035Z   test_schema_correctness_masked_amin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.372s)
2022-11-23T02:28:53.0850284Z   test_schema_correctness_masked_amin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.364s)
2022-11-23T02:28:53.0850581Z   test_schema_correctness_masked_amin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.368s)
2022-11-23T02:28:53.0850837Z   test_schema_correctness_masked_amin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.315s)
2022-11-23T02:28:53.0851065Z   test_schema_correctness_masked_amin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.314s)
2022-11-23T02:28:53.0851309Z   test_schema_correctness_masked_amin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.315s)
2022-11-23T02:28:53.0851562Z   test_schema_correctness_masked_amin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.316s)
2022-11-23T02:28:53.0851813Z   test_schema_correctness_masked_amin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.316s)
2022-11-23T02:28:53.0852072Z   test_schema_correctness_masked_argmax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.244s)
2022-11-23T02:28:53.0852325Z   test_schema_correctness_masked_argmax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.244s)
2022-11-23T02:28:53.0852586Z   test_schema_correctness_masked_argmax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.242s)
2022-11-23T02:28:53.0852841Z   test_schema_correctness_masked_argmax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.244s)
2022-11-23T02:28:53.0853095Z   test_schema_correctness_masked_argmax_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.203s)
2022-11-23T02:28:53.0853333Z   test_schema_correctness_masked_argmax_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.203s)
2022-11-23T02:28:53.0853586Z   test_schema_correctness_masked_argmax_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.154s)
2022-11-23T02:28:53.0853845Z   test_schema_correctness_masked_argmax_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.206s)
2022-11-23T02:28:53.0854097Z   test_schema_correctness_masked_argmax_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.204s)
2022-11-23T02:28:53.0854356Z   test_schema_correctness_masked_argmin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.243s)
2022-11-23T02:28:53.0854614Z   test_schema_correctness_masked_argmin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.247s)
2022-11-23T02:28:53.0854868Z   test_schema_correctness_masked_argmin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.241s)
2022-11-23T02:28:53.0855120Z   test_schema_correctness_masked_argmin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.244s)
2022-11-23T02:28:53.0855371Z   test_schema_correctness_masked_argmin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.204s)
2022-11-23T02:28:53.0855674Z   test_schema_correctness_masked_argmin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.205s)
2022-11-23T02:28:53.0855935Z   test_schema_correctness_masked_argmin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.153s)
2022-11-23T02:28:53.0856827Z   test_schema_correctness_masked_argmin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.205s)
2022-11-23T02:28:53.0857287Z   test_schema_correctness_masked_argmin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.206s)
2022-11-23T02:28:53.0857741Z   test_schema_correctness_masked_cumprod_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.0858203Z   test_schema_correctness_masked_cumprod_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.0858526Z   test_schema_correctness_masked_cumprod_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.0858795Z   test_schema_correctness_masked_cumprod_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.0859054Z   test_schema_correctness_masked_cumprod_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.0859315Z   test_schema_correctness_masked_cumprod_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.0859733Z   test_schema_correctness_masked_cumprod_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0860001Z   test_schema_correctness_masked_cumprod_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T02:28:53.0860254Z   test_schema_correctness_masked_cumprod_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0860505Z   test_schema_correctness_masked_cumprod_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0860761Z   test_schema_correctness_masked_cumprod_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.0861021Z   test_schema_correctness_masked_cumsum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.0861283Z   test_schema_correctness_masked_cumsum_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.0861548Z   test_schema_correctness_masked_cumsum_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0861804Z   test_schema_correctness_masked_cumsum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.0862042Z   test_schema_correctness_masked_cumsum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.0862290Z   test_schema_correctness_masked_cumsum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T02:28:53.0862539Z   test_schema_correctness_masked_cumsum_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0862790Z   test_schema_correctness_masked_cumsum_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0863037Z   test_schema_correctness_masked_cumsum_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.0863290Z   test_schema_correctness_masked_cumsum_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0863536Z   test_schema_correctness_masked_cumsum_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0863789Z   test_schema_correctness_masked_fill_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0864037Z   test_schema_correctness_masked_fill_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0864278Z   test_schema_correctness_masked_fill_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0864533Z   test_schema_correctness_masked_fill_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0864878Z   test_schema_correctness_masked_fill_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0865127Z   test_schema_correctness_masked_fill_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0865378Z   test_schema_correctness_masked_fill_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0865627Z   test_schema_correctness_masked_fill_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0865876Z   test_schema_correctness_masked_fill_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0866122Z   test_schema_correctness_masked_fill_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0866367Z   test_schema_correctness_masked_fill_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0866605Z   test_schema_correctness_masked_fill_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0866858Z   test_schema_correctness_masked_fill_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0867170Z   test_schema_correctness_masked_log_softmax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0867441Z   test_schema_correctness_masked_log_softmax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.0867697Z   test_schema_correctness_masked_log_softmax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0867958Z   test_schema_correctness_masked_log_softmax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0868219Z   test_schema_correctness_masked_logaddexp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.068s)
2022-11-23T02:28:53.0868484Z   test_schema_correctness_masked_logaddexp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.0868745Z   test_schema_correctness_masked_logaddexp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.068s)
2022-11-23T02:28:53.0868989Z   test_schema_correctness_masked_logsumexp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.380s)
2022-11-23T02:28:53.0869252Z   test_schema_correctness_masked_logsumexp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.380s)
2022-11-23T02:28:53.0869510Z   test_schema_correctness_masked_logsumexp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.377s)
2022-11-23T02:28:53.0869769Z   test_schema_correctness_masked_logsumexp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.382s)
2022-11-23T02:28:53.0870025Z   test_schema_correctness_masked_logsumexp_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.412s)
2022-11-23T02:28:53.0870279Z   test_schema_correctness_masked_logsumexp_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.412s)
2022-11-23T02:28:53.0870539Z   test_schema_correctness_masked_logsumexp_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.413s)
2022-11-23T02:28:53.0870796Z   test_schema_correctness_masked_logsumexp_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.412s)
2022-11-23T02:28:53.0871050Z   test_schema_correctness_masked_logsumexp_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.413s)
2022-11-23T02:28:53.0871309Z   test_schema_correctness_masked_mean_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.452s)
2022-11-23T02:28:53.0871542Z   test_schema_correctness_masked_mean_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.221s)
2022-11-23T02:28:53.0871798Z   test_schema_correctness_masked_mean_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.247s)
2022-11-23T02:28:53.0872060Z   test_schema_correctness_masked_mean_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.241s)
2022-11-23T02:28:53.0872377Z   test_schema_correctness_masked_mean_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.444s)
2022-11-23T02:28:53.0872630Z   test_schema_correctness_masked_mean_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.438s)
2022-11-23T02:28:53.0872880Z   test_schema_correctness_masked_mean_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.443s)
2022-11-23T02:28:53.0873132Z   test_schema_correctness_masked_mean_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.226s)
2022-11-23T02:28:53.0873379Z   test_schema_correctness_masked_mean_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.219s)
2022-11-23T02:28:53.0873618Z   test_schema_correctness_masked_mean_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.217s)
2022-11-23T02:28:53.0873851Z   test_schema_correctness_masked_mean_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.220s)
2022-11-23T02:28:53.0874105Z   test_schema_correctness_masked_mean_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.216s)
2022-11-23T02:28:53.0874365Z   test_schema_correctness_masked_median_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.0874628Z   test_schema_correctness_masked_median_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.0874933Z   test_schema_correctness_masked_median_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.0875196Z   test_schema_correctness_masked_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.957s)
2022-11-23T02:28:53.0875447Z   test_schema_correctness_masked_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.962s)
2022-11-23T02:28:53.0875696Z   test_schema_correctness_masked_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.939s)
2022-11-23T02:28:53.0875942Z   test_schema_correctness_masked_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.948s)
2022-11-23T02:28:53.0876195Z   test_schema_correctness_masked_normalize_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.608s)
2022-11-23T02:28:53.0876465Z   test_schema_correctness_masked_normalize_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.613s)
2022-11-23T02:28:53.0876734Z   test_schema_correctness_masked_normalize_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.614s)
2022-11-23T02:28:53.0876995Z   test_schema_correctness_masked_normalize_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.609s)
2022-11-23T02:28:53.0877259Z   test_schema_correctness_masked_normalize_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.608s)
2022-11-23T02:28:53.0877515Z   test_schema_correctness_masked_normalize_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.609s)
2022-11-23T02:28:53.0877772Z   test_schema_correctness_masked_prod_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.376s)
2022-11-23T02:28:53.0878027Z   test_schema_correctness_masked_prod_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.290s)
2022-11-23T02:28:53.0878288Z   test_schema_correctness_masked_prod_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (24.444s)
2022-11-23T02:28:53.0878538Z   test_schema_correctness_masked_prod_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (13.180s)
2022-11-23T02:28:53.0878796Z   test_schema_correctness_masked_prod_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.376s)
2022-11-23T02:28:53.0879053Z   test_schema_correctness_masked_prod_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.371s)
2022-11-23T02:28:53.0879305Z   test_schema_correctness_masked_prod_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.377s)
2022-11-23T02:28:53.0879556Z   test_schema_correctness_masked_prod_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.398s)
2022-11-23T02:28:53.0879805Z   test_schema_correctness_masked_prod_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.390s)
2022-11-23T02:28:53.0880125Z   test_schema_correctness_masked_prod_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.310s)
2022-11-23T02:28:53.0880377Z   test_schema_correctness_masked_prod_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.391s)
2022-11-23T02:28:53.0880628Z   test_schema_correctness_masked_prod_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.397s)
2022-11-23T02:28:53.0880878Z   test_schema_correctness_masked_scatter_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0881136Z   test_schema_correctness_masked_scatter_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0881495Z   test_schema_correctness_masked_scatter_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0881813Z   test_schema_correctness_masked_scatter_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0882152Z   test_schema_correctness_masked_scatter_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0882461Z   test_schema_correctness_masked_scatter_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0882830Z   test_schema_correctness_masked_scatter_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0883148Z   test_schema_correctness_masked_scatter_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0883465Z   test_schema_correctness_masked_scatter_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0883706Z   test_schema_correctness_masked_scatter_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0884258Z   test_schema_correctness_masked_scatter_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0884570Z   test_schema_correctness_masked_scatter_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0884887Z   test_schema_correctness_masked_select_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0885240Z   test_schema_correctness_masked_select_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0885552Z   test_schema_correctness_masked_select_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0885858Z   test_schema_correctness_masked_select_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0886153Z   test_schema_correctness_masked_select_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0886392Z   test_schema_correctness_masked_select_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0886694Z   test_schema_correctness_masked_select_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0887052Z   test_schema_correctness_masked_select_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0887368Z   test_schema_correctness_masked_select_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0887657Z   test_schema_correctness_masked_select_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0887954Z   test_schema_correctness_masked_select_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0888244Z   test_schema_correctness_masked_select_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0888540Z   test_schema_correctness_masked_softmax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0888837Z   test_schema_correctness_masked_softmax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.0889154Z   test_schema_correctness_masked_softmax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0889464Z   test_schema_correctness_masked_softmax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0889808Z   test_schema_correctness_masked_softmin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T02:28:53.0890115Z   test_schema_correctness_masked_softmin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T02:28:53.0890466Z   test_schema_correctness_masked_softmin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.062s)
2022-11-23T02:28:53.0890760Z   test_schema_correctness_masked_softmin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T02:28:53.0891057Z   test_schema_correctness_masked_std_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (7.367s)
2022-11-23T02:28:53.0891377Z   test_schema_correctness_masked_std_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0891710Z   test_schema_correctness_masked_std_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.0892006Z   test_schema_correctness_masked_std_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (7.349s)
2022-11-23T02:28:53.0892303Z   test_schema_correctness_masked_std_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (7.364s)
2022-11-23T02:28:53.0892656Z   test_schema_correctness_masked_std_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (7.334s)
2022-11-23T02:28:53.0892951Z   test_schema_correctness_masked_std_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (6.144s)
2022-11-23T02:28:53.0893242Z   test_schema_correctness_masked_std_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (6.142s)
2022-11-23T02:28:53.0893529Z   test_schema_correctness_masked_std_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (6.141s)
2022-11-23T02:28:53.0893825Z   test_schema_correctness_masked_std_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (6.143s)
2022-11-23T02:28:53.0894127Z   test_schema_correctness_masked_std_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (6.151s)
2022-11-23T02:28:53.0894427Z   test_schema_correctness_masked_sum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.379s)
2022-11-23T02:28:53.0894717Z   test_schema_correctness_masked_sum_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.329s)
2022-11-23T02:28:53.0894962Z   test_schema_correctness_masked_sum_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.345s)
2022-11-23T02:28:53.0895355Z   test_schema_correctness_masked_sum_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.343s)
2022-11-23T02:28:53.0895706Z   test_schema_correctness_masked_sum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.382s)
2022-11-23T02:28:53.0896004Z   test_schema_correctness_masked_sum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.377s)
2022-11-23T02:28:53.0896969Z   test_schema_correctness_masked_sum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.382s)
2022-11-23T02:28:53.0897476Z   test_schema_correctness_masked_sum_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.327s)
2022-11-23T02:28:53.0897963Z   test_schema_correctness_masked_sum_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.327s)
2022-11-23T02:28:53.0898447Z   test_schema_correctness_masked_sum_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.328s)
2022-11-23T02:28:53.0898776Z   test_schema_correctness_masked_sum_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.326s)
2022-11-23T02:28:53.0899015Z   test_schema_correctness_masked_sum_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.326s)
2022-11-23T02:28:53.0899376Z   test_schema_correctness_masked_var_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (7.238s)
2022-11-23T02:28:53.0899887Z   test_schema_correctness_masked_var_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0900216Z   test_schema_correctness_masked_var_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.0900517Z   test_schema_correctness_masked_var_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (7.241s)
2022-11-23T02:28:53.0900813Z   test_schema_correctness_masked_var_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (7.214s)
2022-11-23T02:28:53.0901103Z   test_schema_correctness_masked_var_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (7.212s)
2022-11-23T02:28:53.0901391Z   test_schema_correctness_masked_var_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (6.043s)
2022-11-23T02:28:53.0901683Z   test_schema_correctness_masked_var_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (6.039s)
2022-11-23T02:28:53.0901913Z   test_schema_correctness_masked_var_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (6.046s)
2022-11-23T02:28:53.0902302Z   test_schema_correctness_masked_var_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (6.037s)
2022-11-23T02:28:53.0902598Z   test_schema_correctness_masked_var_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (6.043s)
2022-11-23T02:28:53.0902972Z   test_schema_correctness_matmul_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.140s)
2022-11-23T02:28:53.0903269Z   test_schema_correctness_matmul_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.140s)
2022-11-23T02:28:53.0903558Z   test_schema_correctness_matmul_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.136s)
2022-11-23T02:28:53.0903844Z   test_schema_correctness_matmul_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.136s)
2022-11-23T02:28:53.0904130Z   test_schema_correctness_matmul_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.136s)
2022-11-23T02:28:53.0904429Z   test_schema_correctness_matrix_exp_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0904672Z   test_schema_correctness_matrix_exp_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0905030Z   test_schema_correctness_matrix_exp_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0905324Z   test_schema_correctness_matrix_exp_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0905616Z   test_schema_correctness_matrix_exp_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0905904Z   test_schema_correctness_matrix_exp_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0906207Z   test_schema_correctness_max_binary_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0906500Z   test_schema_correctness_max_binary_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0906786Z   test_schema_correctness_max_binary_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0907135Z   test_schema_correctness_max_binary_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0907361Z   test_schema_correctness_max_binary_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0907699Z   test_schema_correctness_max_binary_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0907984Z   test_schema_correctness_max_binary_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0908271Z   test_schema_correctness_max_binary_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0908564Z   test_schema_correctness_max_binary_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0908926Z   test_schema_correctness_max_binary_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0909266Z   test_schema_correctness_max_pool2d_with_indices_backward_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (22.756s)
2022-11-23T02:28:53.0909597Z   test_schema_correctness_max_pool2d_with_indices_backward_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (22.861s)
2022-11-23T02:28:53.0909966Z   test_schema_correctness_max_pool2d_with_indices_backward_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (23.024s)
2022-11-23T02:28:53.0910329Z   test_schema_correctness_max_pool2d_with_indices_backward_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (23.023s)
2022-11-23T02:28:53.0910590Z   test_schema_correctness_max_reduction_no_dim_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0910899Z   test_schema_correctness_max_reduction_no_dim_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0911207Z   test_schema_correctness_max_reduction_no_dim_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0911504Z   test_schema_correctness_max_reduction_no_dim_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0911870Z   test_schema_correctness_max_reduction_no_dim_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0912235Z   test_schema_correctness_max_reduction_no_dim_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0912533Z   test_schema_correctness_max_reduction_no_dim_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0912823Z   test_schema_correctness_max_reduction_no_dim_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0913164Z   test_schema_correctness_max_reduction_no_dim_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0913421Z   test_schema_correctness_max_reduction_no_dim_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0913730Z   test_schema_correctness_max_reduction_with_dim_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0914038Z   test_schema_correctness_max_reduction_with_dim_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0914357Z   test_schema_correctness_max_reduction_with_dim_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0914665Z   test_schema_correctness_max_reduction_with_dim_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0914971Z   test_schema_correctness_max_reduction_with_dim_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0915276Z   test_schema_correctness_max_reduction_with_dim_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0915587Z   test_schema_correctness_max_reduction_with_dim_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0915923Z   test_schema_correctness_max_reduction_with_dim_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0916227Z   test_schema_correctness_max_reduction_with_dim_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0916474Z   test_schema_correctness_max_reduction_with_dim_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0916776Z   test_schema_correctness_maximum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0917064Z   test_schema_correctness_maximum_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0917354Z   test_schema_correctness_maximum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0917753Z   test_schema_correctness_maximum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0918044Z   test_schema_correctness_maximum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0918329Z   test_schema_correctness_maximum_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0918675Z   test_schema_correctness_maximum_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0918957Z   test_schema_correctness_maximum_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0919188Z   test_schema_correctness_maximum_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0919462Z   test_schema_correctness_maximum_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0919749Z   test_schema_correctness_mean_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.0920042Z   test_schema_correctness_mean_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T02:28:53.0920331Z   test_schema_correctness_mean_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.0920617Z   test_schema_correctness_mean_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.0920960Z   test_schema_correctness_mean_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.0921287Z   test_schema_correctness_mean_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.0921520Z   test_schema_correctness_median_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0921896Z   test_schema_correctness_median_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0922185Z   test_schema_correctness_median_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0922529Z   test_schema_correctness_median_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0922812Z   test_schema_correctness_median_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0923096Z   test_schema_correctness_median_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0923391Z   test_schema_correctness_median_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0923676Z   test_schema_correctness_median_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0924042Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.0924298Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0924622Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.0924935Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.0925255Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0925566Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0925893Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0926203Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0926510Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.0926937Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0927299Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0927549Z   test_schema_correctness_meshgrid_list_of_tensors_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.0927922Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0928244Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0928567Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.0928889Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0946380Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.0946880Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0947498Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.0947799Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.0948082Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.0948358Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.0948642Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.0948926Z   test_schema_correctness_meshgrid_variadic_tensors_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.0949206Z   test_schema_correctness_min_binary_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0949475Z   test_schema_correctness_min_binary_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0949757Z   test_schema_correctness_min_binary_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0950030Z   test_schema_correctness_min_binary_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0950299Z   test_schema_correctness_min_binary_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0950570Z   test_schema_correctness_min_binary_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0950844Z   test_schema_correctness_min_binary_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0951117Z   test_schema_correctness_min_binary_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0951362Z   test_schema_correctness_min_binary_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0951635Z   test_schema_correctness_min_binary_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0951935Z   test_schema_correctness_min_reduction_no_dim_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0952214Z   test_schema_correctness_min_reduction_no_dim_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0952493Z   test_schema_correctness_min_reduction_no_dim_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0952766Z   test_schema_correctness_min_reduction_no_dim_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0953142Z   test_schema_correctness_min_reduction_no_dim_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0953413Z   test_schema_correctness_min_reduction_no_dim_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0953678Z   test_schema_correctness_min_reduction_no_dim_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0953912Z   test_schema_correctness_min_reduction_no_dim_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0954181Z   test_schema_correctness_min_reduction_no_dim_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0954454Z   test_schema_correctness_min_reduction_no_dim_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0954730Z   test_schema_correctness_min_reduction_with_dim_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0955010Z   test_schema_correctness_min_reduction_with_dim_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0955286Z   test_schema_correctness_min_reduction_with_dim_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0955634Z   test_schema_correctness_min_reduction_with_dim_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0955912Z   test_schema_correctness_min_reduction_with_dim_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0956184Z   test_schema_correctness_min_reduction_with_dim_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0956450Z   test_schema_correctness_min_reduction_with_dim_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0956692Z   test_schema_correctness_min_reduction_with_dim_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0956966Z   test_schema_correctness_min_reduction_with_dim_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0957231Z   test_schema_correctness_min_reduction_with_dim_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0957491Z   test_schema_correctness_minimum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0957738Z   test_schema_correctness_minimum_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0957986Z   test_schema_correctness_minimum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0958240Z   test_schema_correctness_minimum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0958493Z   test_schema_correctness_minimum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0958752Z   test_schema_correctness_minimum_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0958973Z   test_schema_correctness_minimum_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0959219Z   test_schema_correctness_minimum_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0959477Z   test_schema_correctness_minimum_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0959725Z   test_schema_correctness_minimum_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0959975Z   test_schema_correctness_mm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0960248Z   test_schema_correctness_mm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0960522Z   test_schema_correctness_mm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.0960854Z   test_schema_correctness_mm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0961093Z   test_schema_correctness_mm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0961321Z   test_schema_correctness_mm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0961569Z   test_schema_correctness_mode_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0961815Z   test_schema_correctness_mode_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0962067Z   test_schema_correctness_mode_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0962315Z   test_schema_correctness_mode_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0962568Z   test_schema_correctness_mode_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0962818Z   test_schema_correctness_mode_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0963057Z   test_schema_correctness_mode_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0963358Z   test_schema_correctness_mode_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0963586Z   test_schema_correctness_mode_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0963827Z   test_schema_correctness_mode_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.0964083Z   test_schema_correctness_movedim_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0964336Z   test_schema_correctness_movedim_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0964598Z   test_schema_correctness_movedim_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0964863Z   test_schema_correctness_movedim_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0965115Z   test_schema_correctness_movedim_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0965379Z   test_schema_correctness_movedim_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0965636Z   test_schema_correctness_movedim_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0965873Z   test_schema_correctness_movedim_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0966124Z   test_schema_correctness_movedim_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0966376Z   test_schema_correctness_movedim_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0966629Z   test_schema_correctness_movedim_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0966882Z   test_schema_correctness_movedim_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0967131Z   test_schema_correctness_movedim_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0967389Z   test_schema_correctness_msort_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0967636Z   test_schema_correctness_msort_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0967879Z   test_schema_correctness_msort_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0968095Z   test_schema_correctness_msort_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0968347Z   test_schema_correctness_msort_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0968657Z   test_schema_correctness_msort_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0968901Z   test_schema_correctness_msort_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0969148Z   test_schema_correctness_msort_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0969397Z   test_schema_correctness_msort_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0969644Z   test_schema_correctness_mul_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0969889Z   test_schema_correctness_mul_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0970119Z   test_schema_correctness_mul_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0970372Z   test_schema_correctness_mul_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.0970627Z   test_schema_correctness_mul_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0970874Z   test_schema_correctness_mul_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0971116Z   test_schema_correctness_mul_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0971428Z   test_schema_correctness_mul_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0971679Z   test_schema_correctness_mul_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0971925Z   test_schema_correctness_mul_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0972166Z   test_schema_correctness_mul_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0972387Z   test_schema_correctness_mul_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0972637Z   test_schema_correctness_mul_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0972902Z   test_schema_correctness_multinomial_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0973172Z   test_schema_correctness_multinomial_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0973431Z   test_schema_correctness_multinomial_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0973682Z   test_schema_correctness_mv_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0973935Z   test_schema_correctness_mv_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0974192Z   test_schema_correctness_mv_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0974443Z   test_schema_correctness_mv_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0974670Z   test_schema_correctness_mv_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0974915Z   test_schema_correctness_mv_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.0975201Z   test_schema_correctness_mvlgamma_mvlgamma_p_1_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0975475Z   test_schema_correctness_mvlgamma_mvlgamma_p_1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0975739Z   test_schema_correctness_mvlgamma_mvlgamma_p_1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0976009Z   test_schema_correctness_mvlgamma_mvlgamma_p_1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0976941Z   test_schema_correctness_mvlgamma_mvlgamma_p_1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0977649Z   test_schema_correctness_mvlgamma_mvlgamma_p_1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0978116Z   test_schema_correctness_mvlgamma_mvlgamma_p_1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0978526Z   test_schema_correctness_mvlgamma_mvlgamma_p_1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0978810Z   test_schema_correctness_mvlgamma_mvlgamma_p_3_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0979076Z   test_schema_correctness_mvlgamma_mvlgamma_p_3_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0979342Z   test_schema_correctness_mvlgamma_mvlgamma_p_3_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0979609Z   test_schema_correctness_mvlgamma_mvlgamma_p_3_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0979882Z   test_schema_correctness_mvlgamma_mvlgamma_p_3_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0980159Z   test_schema_correctness_mvlgamma_mvlgamma_p_3_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0980520Z   test_schema_correctness_mvlgamma_mvlgamma_p_3_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0980788Z   test_schema_correctness_mvlgamma_mvlgamma_p_3_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0981064Z   test_schema_correctness_mvlgamma_mvlgamma_p_5_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0981307Z   test_schema_correctness_mvlgamma_mvlgamma_p_5_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0981571Z   test_schema_correctness_mvlgamma_mvlgamma_p_5_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.0981842Z   test_schema_correctness_mvlgamma_mvlgamma_p_5_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0982106Z   test_schema_correctness_mvlgamma_mvlgamma_p_5_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.0982373Z   test_schema_correctness_mvlgamma_mvlgamma_p_5_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0982643Z   test_schema_correctness_mvlgamma_mvlgamma_p_5_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0982898Z   test_schema_correctness_mvlgamma_mvlgamma_p_5_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.0983163Z   test_schema_correctness_nan_to_num_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0983418Z   test_schema_correctness_nan_to_num_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0983656Z   test_schema_correctness_nan_to_num_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0983915Z   test_schema_correctness_nan_to_num_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0984171Z   test_schema_correctness_nan_to_num_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.0984432Z   test_schema_correctness_nan_to_num_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0984686Z   test_schema_correctness_nan_to_num_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0984933Z   test_schema_correctness_nan_to_num_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.0985184Z   test_schema_correctness_nan_to_num_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0985434Z   test_schema_correctness_nan_to_num_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.0985798Z   test_schema_correctness_nanmean_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.248s)
2022-11-23T02:28:53.0986027Z   test_schema_correctness_nanmean_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.248s)
2022-11-23T02:28:53.0986331Z   test_schema_correctness_nanmean_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.247s)
2022-11-23T02:28:53.0986591Z   test_schema_correctness_nanmean_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.247s)
2022-11-23T02:28:53.0986851Z   test_schema_correctness_nanmedian_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0987106Z   test_schema_correctness_nanmedian_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0987364Z   test_schema_correctness_nanmedian_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0987613Z   test_schema_correctness_nanmedian_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0987869Z   test_schema_correctness_nanmedian_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0988119Z   test_schema_correctness_nanmedian_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.0988409Z   test_schema_correctness_nanmedian_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0988673Z   test_schema_correctness_nanmedian_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.0988938Z   test_schema_correctness_nanquantile_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.814s)
2022-11-23T02:28:53.0989196Z   test_schema_correctness_nanquantile_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.824s)
2022-11-23T02:28:53.0989447Z   test_schema_correctness_nansum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0989700Z   test_schema_correctness_nansum_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T02:28:53.0989954Z   test_schema_correctness_nansum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.0990207Z   test_schema_correctness_nansum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.0990457Z   test_schema_correctness_nansum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.0990681Z   test_schema_correctness_nansum_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T02:28:53.0990933Z   test_schema_correctness_nansum_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T02:28:53.0991179Z   test_schema_correctness_nansum_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T02:28:53.0991426Z   test_schema_correctness_nansum_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T02:28:53.0991670Z   test_schema_correctness_nansum_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T02:28:53.0991938Z   test_schema_correctness_narrow_copy_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0992194Z   test_schema_correctness_narrow_copy_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0992466Z   test_schema_correctness_narrow_copy_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0992728Z   test_schema_correctness_narrow_copy_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0992971Z   test_schema_correctness_narrow_copy_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0993232Z   test_schema_correctness_narrow_copy_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0993480Z   test_schema_correctness_narrow_copy_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0993798Z   test_schema_correctness_narrow_copy_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0994054Z   test_schema_correctness_narrow_copy_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0994315Z   test_schema_correctness_narrow_copy_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0994568Z   test_schema_correctness_narrow_copy_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.0994826Z   test_schema_correctness_narrow_copy_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0995085Z   test_schema_correctness_narrow_copy_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.0995317Z   test_schema_correctness_narrow_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0995569Z   test_schema_correctness_narrow_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0995828Z   test_schema_correctness_narrow_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0996092Z   test_schema_correctness_narrow_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.0996395Z   test_schema_correctness_narrow_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0996658Z   test_schema_correctness_narrow_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0996911Z   test_schema_correctness_narrow_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.0997157Z   test_schema_correctness_narrow_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0997407Z   test_schema_correctness_narrow_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0997634Z   test_schema_correctness_narrow_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0997878Z   test_schema_correctness_narrow_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0998129Z   test_schema_correctness_narrow_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0998383Z   test_schema_correctness_narrow_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.0998653Z   test_schema_correctness_native_batch_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.0998922Z   test_schema_correctness_native_batch_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.0999191Z   test_schema_correctness_native_batch_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.0999457Z   test_schema_correctness_native_batch_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.0999745Z   test_schema_correctness_native_dropout_backward_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1000022Z   test_schema_correctness_native_dropout_backward_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1000282Z   test_schema_correctness_native_dropout_backward_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1000555Z   test_schema_correctness_native_dropout_backward_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1000822Z   test_schema_correctness_native_layer_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T02:28:53.1001094Z   test_schema_correctness_native_layer_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1001361Z   test_schema_correctness_native_layer_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1001693Z   test_schema_correctness_native_layer_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1001942Z   test_schema_correctness_ne_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1002189Z   test_schema_correctness_ne_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1002442Z   test_schema_correctness_ne_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1002668Z   test_schema_correctness_ne_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1002922Z   test_schema_correctness_ne_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1003165Z   test_schema_correctness_ne_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1003409Z   test_schema_correctness_ne_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1003650Z   test_schema_correctness_ne_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1003896Z   test_schema_correctness_ne_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1004197Z   test_schema_correctness_ne_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1004443Z   test_schema_correctness_ne_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1004688Z   test_schema_correctness_ne_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1004916Z   test_schema_correctness_neg_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1005171Z   test_schema_correctness_neg_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1005432Z   test_schema_correctness_neg_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1005683Z   test_schema_correctness_neg_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1005933Z   test_schema_correctness_neg_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1006178Z   test_schema_correctness_neg_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1006416Z   test_schema_correctness_neg_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1006662Z   test_schema_correctness_neg_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1006885Z   test_schema_correctness_neg_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1007125Z   test_schema_correctness_neg_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1007372Z   test_schema_correctness_neg_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1007642Z   test_schema_correctness_neg_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1008015Z   test_schema_correctness_new_empty_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1008279Z   test_schema_correctness_new_empty_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1008544Z   test_schema_correctness_new_empty_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1008808Z   test_schema_correctness_new_empty_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1009077Z   test_schema_correctness_new_empty_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1009311Z   test_schema_correctness_new_empty_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1009638Z   test_schema_correctness_new_empty_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1009891Z   test_schema_correctness_new_empty_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1010147Z   test_schema_correctness_new_empty_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1010402Z   test_schema_correctness_new_empty_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1010649Z   test_schema_correctness_new_empty_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1010901Z   test_schema_correctness_new_empty_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1011151Z   test_schema_correctness_new_empty_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1011424Z   test_schema_correctness_new_empty_strided_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.080s)
2022-11-23T02:28:53.1011677Z   test_schema_correctness_new_empty_strided_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.080s)
2022-11-23T02:28:53.1011957Z   test_schema_correctness_new_empty_strided_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.081s)
2022-11-23T02:28:53.1012302Z   test_schema_correctness_new_empty_strided_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1012570Z   test_schema_correctness_new_empty_strided_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.1012839Z   test_schema_correctness_new_empty_strided_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.080s)
2022-11-23T02:28:53.1013105Z   test_schema_correctness_new_empty_strided_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.081s)
2022-11-23T02:28:53.1013379Z   test_schema_correctness_new_empty_strided_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.081s)
2022-11-23T02:28:53.1013647Z   test_schema_correctness_new_empty_strided_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.080s)
2022-11-23T02:28:53.1013914Z   test_schema_correctness_new_empty_strided_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.081s)
2022-11-23T02:28:53.1014187Z   test_schema_correctness_new_empty_strided_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.081s)
2022-11-23T02:28:53.1014428Z   test_schema_correctness_new_empty_strided_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.081s)
2022-11-23T02:28:53.1014689Z   test_schema_correctness_new_empty_strided_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.080s)
2022-11-23T02:28:53.1014950Z   test_schema_correctness_new_full_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.1015202Z   test_schema_correctness_new_full_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.1015471Z   test_schema_correctness_new_full_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.073s)
2022-11-23T02:28:53.1015733Z   test_schema_correctness_new_full_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1015994Z   test_schema_correctness_new_full_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.1017178Z   test_schema_correctness_new_full_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.1017633Z   test_schema_correctness_new_full_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.1018058Z   test_schema_correctness_new_full_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.1018324Z   test_schema_correctness_new_full_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.1018578Z   test_schema_correctness_new_full_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.1019013Z   test_schema_correctness_new_full_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.1019260Z   test_schema_correctness_new_full_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.1019508Z   test_schema_correctness_new_full_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.1019766Z   test_schema_correctness_new_ones_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1020018Z   test_schema_correctness_new_ones_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1020283Z   test_schema_correctness_new_ones_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1020520Z   test_schema_correctness_new_ones_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1020787Z   test_schema_correctness_new_ones_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.1021046Z   test_schema_correctness_new_ones_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1021299Z   test_schema_correctness_new_ones_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.1021661Z   test_schema_correctness_new_ones_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1021926Z   test_schema_correctness_new_ones_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.1022176Z   test_schema_correctness_new_ones_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.1022421Z   test_schema_correctness_new_ones_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1022668Z   test_schema_correctness_new_ones_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1022893Z   test_schema_correctness_new_ones_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.1023151Z   test_schema_correctness_new_zeros_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1023400Z   test_schema_correctness_new_zeros_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1023667Z   test_schema_correctness_new_zeros_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.1023935Z   test_schema_correctness_new_zeros_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1024200Z   test_schema_correctness_new_zeros_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1024458Z   test_schema_correctness_new_zeros_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1024712Z   test_schema_correctness_new_zeros_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1024972Z   test_schema_correctness_new_zeros_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.1025199Z   test_schema_correctness_new_zeros_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1025461Z   test_schema_correctness_new_zeros_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1025707Z   test_schema_correctness_new_zeros_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1025964Z   test_schema_correctness_new_zeros_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1026214Z   test_schema_correctness_new_zeros_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1026471Z   test_schema_correctness_nextafter_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1026792Z   test_schema_correctness_nextafter_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1027043Z   test_schema_correctness_nextafter_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1027352Z   test_schema_correctness_nn_functional__scaled_dot_product_attention_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.356s)
2022-11-23T02:28:53.1027638Z   test_schema_correctness_nn_functional__scaled_dot_product_attention_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.355s)
2022-11-23T02:28:53.1027945Z   test_schema_correctness_nn_functional__scaled_dot_product_attention_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.355s)
2022-11-23T02:28:53.1028252Z   test_schema_correctness_nn_functional__scaled_dot_product_attention_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.396s)
2022-11-23T02:28:53.1028553Z   test_schema_correctness_nn_functional_adaptive_avg_pool1d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1028851Z   test_schema_correctness_nn_functional_adaptive_avg_pool1d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1029146Z   test_schema_correctness_nn_functional_adaptive_avg_pool1d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1029494Z   test_schema_correctness_nn_functional_adaptive_avg_pool1d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.1029791Z   test_schema_correctness_nn_functional_adaptive_avg_pool2d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1030081Z   test_schema_correctness_nn_functional_adaptive_avg_pool2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1030376Z   test_schema_correctness_nn_functional_adaptive_avg_pool2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1030669Z   test_schema_correctness_nn_functional_adaptive_avg_pool2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1030932Z   test_schema_correctness_nn_functional_adaptive_avg_pool3d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1031220Z   test_schema_correctness_nn_functional_adaptive_avg_pool3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1031512Z   test_schema_correctness_nn_functional_adaptive_avg_pool3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1031798Z   test_schema_correctness_nn_functional_adaptive_avg_pool3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1032087Z   test_schema_correctness_nn_functional_adaptive_max_pool1d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1032367Z   test_schema_correctness_nn_functional_adaptive_max_pool1d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1032656Z   test_schema_correctness_nn_functional_adaptive_max_pool1d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1032943Z   test_schema_correctness_nn_functional_adaptive_max_pool1d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1033238Z   test_schema_correctness_nn_functional_adaptive_max_pool2d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.1033518Z   test_schema_correctness_nn_functional_adaptive_max_pool2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T02:28:53.1033777Z   test_schema_correctness_nn_functional_adaptive_max_pool2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1034063Z   test_schema_correctness_nn_functional_adaptive_max_pool2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T02:28:53.1034414Z   test_schema_correctness_nn_functional_adaptive_max_pool3d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.1034693Z   test_schema_correctness_nn_functional_adaptive_max_pool3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.1034980Z   test_schema_correctness_nn_functional_adaptive_max_pool3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.1035268Z   test_schema_correctness_nn_functional_adaptive_max_pool3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.1035556Z   test_schema_correctness_nn_functional_alpha_dropout_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.147s)
2022-11-23T02:28:53.1035844Z   test_schema_correctness_nn_functional_alpha_dropout_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.147s)
2022-11-23T02:28:53.1036127Z   test_schema_correctness_nn_functional_alpha_dropout_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.148s)
2022-11-23T02:28:53.1036424Z   test_schema_correctness_nn_functional_alpha_dropout_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.146s)
2022-11-23T02:28:53.1036681Z   test_schema_correctness_nn_functional_avg_pool1d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.1037023Z   test_schema_correctness_nn_functional_avg_pool1d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.1037326Z   test_schema_correctness_nn_functional_avg_pool1d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.1037622Z   test_schema_correctness_nn_functional_avg_pool1d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.1037918Z   test_schema_correctness_nn_functional_avg_pool2d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.1038217Z   test_schema_correctness_nn_functional_avg_pool2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.1038509Z   test_schema_correctness_nn_functional_avg_pool2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.027s)
2022-11-23T02:28:53.1038802Z   test_schema_correctness_nn_functional_avg_pool2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.1039100Z   test_schema_correctness_nn_functional_avg_pool3d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1039397Z   test_schema_correctness_nn_functional_avg_pool3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1039672Z   test_schema_correctness_nn_functional_avg_pool3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T02:28:53.1039967Z   test_schema_correctness_nn_functional_avg_pool3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1040261Z   test_schema_correctness_nn_functional_batch_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.199s)
2022-11-23T02:28:53.1040557Z   test_schema_correctness_nn_functional_batch_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.199s)
2022-11-23T02:28:53.1040845Z   test_schema_correctness_nn_functional_batch_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.373s)
2022-11-23T02:28:53.1041118Z   test_schema_correctness_nn_functional_batch_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.156s)
2022-11-23T02:28:53.1041416Z   test_schema_correctness_nn_functional_batch_norm_without_cudnn_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.198s)
2022-11-23T02:28:53.1041714Z   test_schema_correctness_nn_functional_batch_norm_without_cudnn_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.198s)
2022-11-23T02:28:53.1042011Z   test_schema_correctness_nn_functional_batch_norm_without_cudnn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.198s)
2022-11-23T02:28:53.1042450Z   test_schema_correctness_nn_functional_batch_norm_without_cudnn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.197s)
2022-11-23T02:28:53.1042727Z   test_schema_correctness_nn_functional_bilinear_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.097s)
2022-11-23T02:28:53.1043010Z   test_schema_correctness_nn_functional_bilinear_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.098s)
2022-11-23T02:28:53.1043282Z   test_schema_correctness_nn_functional_bilinear_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.098s)
2022-11-23T02:28:53.1043576Z   test_schema_correctness_nn_functional_binary_cross_entropy_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1043872Z   test_schema_correctness_nn_functional_binary_cross_entropy_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1044157Z   test_schema_correctness_nn_functional_binary_cross_entropy_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1044437Z   test_schema_correctness_nn_functional_binary_cross_entropy_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1044897Z   test_schema_correctness_nn_functional_binary_cross_entropy_with_logits_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.1045214Z   test_schema_correctness_nn_functional_binary_cross_entropy_with_logits_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.1045524Z   test_schema_correctness_nn_functional_binary_cross_entropy_with_logits_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.1045803Z   test_schema_correctness_nn_functional_binary_cross_entropy_with_logits_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.1046077Z   test_schema_correctness_nn_functional_celu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1046358Z   test_schema_correctness_nn_functional_celu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1046616Z   test_schema_correctness_nn_functional_celu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1046878Z   test_schema_correctness_nn_functional_celu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1047161Z   test_schema_correctness_nn_functional_conv1d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1047449Z   test_schema_correctness_nn_functional_conv1d_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.784s)
2022-11-23T02:28:53.1047723Z   test_schema_correctness_nn_functional_conv1d_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1048002Z   test_schema_correctness_nn_functional_conv1d_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.215s)
2022-11-23T02:28:53.1048267Z   test_schema_correctness_nn_functional_conv1d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1048535Z   test_schema_correctness_nn_functional_conv1d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1048802Z   test_schema_correctness_nn_functional_conv1d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1049976Z   test_schema_correctness_nn_functional_conv2d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.)
2022-11-23T02:28:53.1050119Z   return self.op(*args, **kwargs)
2022-11-23T02:28:53.1050297Z ok (0.107s)
2022-11-23T02:28:53.1050573Z   test_schema_correctness_nn_functional_conv2d_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.677s)
2022-11-23T02:28:53.1050848Z   test_schema_correctness_nn_functional_conv2d_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1051128Z   test_schema_correctness_nn_functional_conv2d_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.746s)
2022-11-23T02:28:53.1051407Z   test_schema_correctness_nn_functional_conv2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.109s)
2022-11-23T02:28:53.1051652Z   test_schema_correctness_nn_functional_conv2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.108s)
2022-11-23T02:28:53.1051925Z   test_schema_correctness_nn_functional_conv2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.107s)
2022-11-23T02:28:53.1052214Z   test_schema_correctness_nn_functional_conv_transpose1d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1052511Z   test_schema_correctness_nn_functional_conv_transpose1d_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.217s)
2022-11-23T02:28:53.1052808Z   test_schema_correctness_nn_functional_conv_transpose1d_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1053151Z   test_schema_correctness_nn_functional_conv_transpose1d_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.222s)
2022-11-23T02:28:53.1053445Z   test_schema_correctness_nn_functional_conv_transpose1d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.1053736Z   test_schema_correctness_nn_functional_conv_transpose1d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T02:28:53.1054019Z   test_schema_correctness_nn_functional_conv_transpose1d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1054314Z   test_schema_correctness_nn_functional_conv_transpose2d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.1054583Z   test_schema_correctness_nn_functional_conv_transpose2d_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.259s)
2022-11-23T02:28:53.1054879Z   test_schema_correctness_nn_functional_conv_transpose2d_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1055167Z   test_schema_correctness_nn_functional_conv_transpose2d_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.262s)
2022-11-23T02:28:53.1055448Z   test_schema_correctness_nn_functional_conv_transpose2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1055732Z   test_schema_correctness_nn_functional_conv_transpose2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1056014Z   test_schema_correctness_nn_functional_conv_transpose2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.1057086Z   test_schema_correctness_nn_functional_conv_transpose3d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.1057577Z   test_schema_correctness_nn_functional_conv_transpose3d_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.226s)
2022-11-23T02:28:53.1058094Z   test_schema_correctness_nn_functional_conv_transpose3d_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1058541Z   test_schema_correctness_nn_functional_conv_transpose3d_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.228s)
2022-11-23T02:28:53.1058807Z   test_schema_correctness_nn_functional_conv_transpose3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.1059089Z   test_schema_correctness_nn_functional_conv_transpose3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.1059562Z   test_schema_correctness_nn_functional_conv_transpose3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.1059858Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.328s)
2022-11-23T02:28:53.1060149Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.326s)
2022-11-23T02:28:53.1060447Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.328s)
2022-11-23T02:28:53.1060731Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.327s)
2022-11-23T02:28:53.1061012Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.326s)
2022-11-23T02:28:53.1061301Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.327s)
2022-11-23T02:28:53.1061592Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.327s)
2022-11-23T02:28:53.1061852Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.327s)
2022-11-23T02:28:53.1062208Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.327s)
2022-11-23T02:28:53.1062501Z   test_schema_correctness_nn_functional_cosine_embedding_loss_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.326s)
2022-11-23T02:28:53.1062787Z   test_schema_correctness_nn_functional_cosine_similarity_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.150s)
2022-11-23T02:28:53.1063077Z   test_schema_correctness_nn_functional_cosine_similarity_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.150s)
2022-11-23T02:28:53.1063369Z   test_schema_correctness_nn_functional_cosine_similarity_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.151s)
2022-11-23T02:28:53.1063652Z   test_schema_correctness_nn_functional_cosine_similarity_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.150s)
2022-11-23T02:28:53.1063940Z   test_schema_correctness_nn_functional_cross_entropy_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.077s)
2022-11-23T02:28:53.1064224Z   test_schema_correctness_nn_functional_cross_entropy_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.077s)
2022-11-23T02:28:53.1064504Z   test_schema_correctness_nn_functional_cross_entropy_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.076s)
2022-11-23T02:28:53.1064764Z   test_schema_correctness_nn_functional_cross_entropy_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.076s)
2022-11-23T02:28:53.1065045Z   test_schema_correctness_nn_functional_ctc_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.102s)
2022-11-23T02:28:53.1065329Z   test_schema_correctness_nn_functional_ctc_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.109s)
2022-11-23T02:28:53.1066764Z   test_schema_correctness_nn_functional_dropout2d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T02:28:53.1067105Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T02:28:53.1067212Z ok (0.059s)
2022-11-23T02:28:53.1067561Z   test_schema_correctness_nn_functional_dropout2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.1067836Z   test_schema_correctness_nn_functional_dropout2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.060s)
2022-11-23T02:28:53.1068114Z   test_schema_correctness_nn_functional_dropout2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.1068403Z   test_schema_correctness_nn_functional_dropout3d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.068s)
2022-11-23T02:28:53.1068682Z   test_schema_correctness_nn_functional_dropout3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1068959Z   test_schema_correctness_nn_functional_dropout3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1069210Z   test_schema_correctness_nn_functional_dropout3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.068s)
2022-11-23T02:28:53.1069499Z   test_schema_correctness_nn_functional_dropout_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.1069777Z   test_schema_correctness_nn_functional_dropout_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.1070175Z   test_schema_correctness_nn_functional_dropout_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.073s)
2022-11-23T02:28:53.1070442Z   test_schema_correctness_nn_functional_dropout_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.1070719Z   test_schema_correctness_nn_functional_elu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1070986Z   test_schema_correctness_nn_functional_elu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1071255Z   test_schema_correctness_nn_functional_elu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1071530Z   test_schema_correctness_nn_functional_elu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1071790Z   test_schema_correctness_nn_functional_embedding_bag_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.569s)
2022-11-23T02:28:53.1072077Z   test_schema_correctness_nn_functional_embedding_bag_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.569s)
2022-11-23T02:28:53.1072362Z   test_schema_correctness_nn_functional_embedding_bag_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.568s)
2022-11-23T02:28:53.1072639Z   test_schema_correctness_nn_functional_embedding_bag_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.568s)
2022-11-23T02:28:53.1072921Z   test_schema_correctness_nn_functional_embedding_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.1073194Z   test_schema_correctness_nn_functional_embedding_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.1073477Z   test_schema_correctness_nn_functional_embedding_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.1073751Z   test_schema_correctness_nn_functional_embedding_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.1074060Z   test_schema_correctness_nn_functional_feature_alpha_dropout_with_train_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T02:28:53.1074368Z   test_schema_correctness_nn_functional_feature_alpha_dropout_with_train_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T02:28:53.1074653Z   test_schema_correctness_nn_functional_feature_alpha_dropout_with_train_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.064s)
2022-11-23T02:28:53.1074961Z   test_schema_correctness_nn_functional_feature_alpha_dropout_with_train_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T02:28:53.1075342Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1075652Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1075978Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1076290Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1076600Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1076910Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1077224Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1077529Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1077895Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1078182Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1078486Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1078797Z   test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1079098Z   test_schema_correctness_nn_functional_fractional_max_pool2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.274s)
2022-11-23T02:28:53.1079387Z   test_schema_correctness_nn_functional_fractional_max_pool2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.274s)
2022-11-23T02:28:53.1079675Z   test_schema_correctness_nn_functional_fractional_max_pool2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.274s)
2022-11-23T02:28:53.1079959Z   test_schema_correctness_nn_functional_fractional_max_pool3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.364s)
2022-11-23T02:28:53.1080251Z   test_schema_correctness_nn_functional_fractional_max_pool3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.364s)
2022-11-23T02:28:53.1080535Z   test_schema_correctness_nn_functional_fractional_max_pool3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.363s)
2022-11-23T02:28:53.1080824Z   test_schema_correctness_nn_functional_gaussian_nll_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.202s)
2022-11-23T02:28:53.1081123Z   test_schema_correctness_nn_functional_gaussian_nll_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.215s)
2022-11-23T02:28:53.1081391Z   test_schema_correctness_nn_functional_gaussian_nll_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.198s)
2022-11-23T02:28:53.1081679Z   test_schema_correctness_nn_functional_gaussian_nll_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.216s)
2022-11-23T02:28:53.1081953Z   test_schema_correctness_nn_functional_gelu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1082218Z   test_schema_correctness_nn_functional_gelu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1082485Z   test_schema_correctness_nn_functional_gelu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1082818Z   test_schema_correctness_nn_functional_gelu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1083084Z   test_schema_correctness_nn_functional_glu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.1083352Z   test_schema_correctness_nn_functional_glu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.1083621Z   test_schema_correctness_nn_functional_glu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.1083863Z   test_schema_correctness_nn_functional_glu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T02:28:53.1084149Z   test_schema_correctness_nn_functional_grid_sample_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.1084425Z   test_schema_correctness_nn_functional_grid_sample_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1084706Z   test_schema_correctness_nn_functional_grid_sample_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1084988Z   test_schema_correctness_nn_functional_group_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1085329Z   test_schema_correctness_nn_functional_group_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1085616Z   test_schema_correctness_nn_functional_group_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1085882Z   test_schema_correctness_nn_functional_group_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1086159Z   test_schema_correctness_nn_functional_hardshrink_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1086442Z   test_schema_correctness_nn_functional_hardshrink_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1086706Z   test_schema_correctness_nn_functional_hardshrink_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1086981Z   test_schema_correctness_nn_functional_hardshrink_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1087269Z   test_schema_correctness_nn_functional_hardsigmoid_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1087548Z   test_schema_correctness_nn_functional_hardsigmoid_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1087826Z   test_schema_correctness_nn_functional_hardsigmoid_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1088165Z   test_schema_correctness_nn_functional_hardsigmoid_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1088446Z   test_schema_correctness_nn_functional_hardswish_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1088731Z   test_schema_correctness_nn_functional_hardswish_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1089014Z   test_schema_correctness_nn_functional_hardswish_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1089288Z   test_schema_correctness_nn_functional_hardswish_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1089540Z   test_schema_correctness_nn_functional_hardtanh_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1089824Z   test_schema_correctness_nn_functional_hardtanh_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1090101Z   test_schema_correctness_nn_functional_hardtanh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1090370Z   test_schema_correctness_nn_functional_hardtanh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1090720Z   test_schema_correctness_nn_functional_hardtanh_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1090994Z   test_schema_correctness_nn_functional_hardtanh_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1091265Z   test_schema_correctness_nn_functional_hardtanh_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1091542Z   test_schema_correctness_nn_functional_hardtanh_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1091840Z   test_schema_correctness_nn_functional_hinge_embedding_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.440s)
2022-11-23T02:28:53.1092112Z   test_schema_correctness_nn_functional_hinge_embedding_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.439s)
2022-11-23T02:28:53.1092402Z   test_schema_correctness_nn_functional_hinge_embedding_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.440s)
2022-11-23T02:28:53.1092709Z   test_schema_correctness_nn_functional_hinge_embedding_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.438s)
2022-11-23T02:28:53.1093049Z   test_schema_correctness_nn_functional_huber_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1093340Z   test_schema_correctness_nn_functional_huber_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1093621Z   test_schema_correctness_nn_functional_huber_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1093893Z   test_schema_correctness_nn_functional_huber_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1094183Z   test_schema_correctness_nn_functional_instance_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.240s)
2022-11-23T02:28:53.1094473Z   test_schema_correctness_nn_functional_instance_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.240s)
2022-11-23T02:28:53.1094753Z   test_schema_correctness_nn_functional_instance_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.163s)
2022-11-23T02:28:53.1095017Z   test_schema_correctness_nn_functional_instance_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.162s)
2022-11-23T02:28:53.1095315Z   test_schema_correctness_nn_functional_interpolate_area_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1095610Z   test_schema_correctness_nn_functional_interpolate_area_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1095902Z   test_schema_correctness_nn_functional_interpolate_area_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1096707Z   test_schema_correctness_nn_functional_interpolate_area_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1097240Z   test_schema_correctness_nn_functional_interpolate_bicubic_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1097751Z   test_schema_correctness_nn_functional_interpolate_bicubic_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1098181Z   test_schema_correctness_nn_functional_interpolate_bicubic_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1098476Z   test_schema_correctness_nn_functional_interpolate_bilinear_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1098766Z   test_schema_correctness_nn_functional_interpolate_bilinear_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.1099020Z   test_schema_correctness_nn_functional_interpolate_bilinear_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1099561Z   test_schema_correctness_nn_functional_interpolate_linear_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1099858Z   test_schema_correctness_nn_functional_interpolate_linear_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1100156Z   test_schema_correctness_nn_functional_interpolate_linear_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1100444Z   test_schema_correctness_nn_functional_interpolate_nearest_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1100737Z   test_schema_correctness_nn_functional_interpolate_nearest_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1101030Z   test_schema_correctness_nn_functional_interpolate_nearest_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1101317Z   test_schema_correctness_nn_functional_interpolate_nearest_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1101614Z   test_schema_correctness_nn_functional_interpolate_trilinear_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.1101903Z   test_schema_correctness_nn_functional_interpolate_trilinear_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.1102247Z   test_schema_correctness_nn_functional_interpolate_trilinear_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.1103415Z   test_schema_correctness_nn_functional_kl_div_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T02:28:53.1103541Z   warnings.warn(
2022-11-23T02:28:53.1103649Z ok (0.062s)
2022-11-23T02:28:53.1103923Z   test_schema_correctness_nn_functional_kl_div_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T02:28:53.1104194Z   test_schema_correctness_nn_functional_kl_div_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T02:28:53.1104474Z   test_schema_correctness_nn_functional_kl_div_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.064s)
2022-11-23T02:28:53.1104749Z   test_schema_correctness_nn_functional_l1_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1105028Z   test_schema_correctness_nn_functional_l1_loss_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.1105303Z   test_schema_correctness_nn_functional_l1_loss_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.1105550Z   test_schema_correctness_nn_functional_l1_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1105820Z   test_schema_correctness_nn_functional_l1_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1106092Z   test_schema_correctness_nn_functional_l1_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1106413Z   test_schema_correctness_nn_functional_layer_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1106655Z   test_schema_correctness_nn_functional_layer_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1106958Z   test_schema_correctness_nn_functional_layer_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1107228Z   test_schema_correctness_nn_functional_layer_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1107574Z   test_schema_correctness_nn_functional_leaky_relu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1107849Z   test_schema_correctness_nn_functional_leaky_relu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1108109Z   test_schema_correctness_nn_functional_leaky_relu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1108353Z   test_schema_correctness_nn_functional_leaky_relu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1108626Z   test_schema_correctness_nn_functional_linear_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.1108900Z   test_schema_correctness_nn_functional_linear_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.054s)
2022-11-23T02:28:53.1109176Z   test_schema_correctness_nn_functional_linear_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.1109453Z   test_schema_correctness_nn_functional_linear_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.1109720Z   test_schema_correctness_nn_functional_linear_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.1110031Z   test_schema_correctness_nn_functional_linear_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T02:28:53.1110334Z   test_schema_correctness_nn_functional_local_response_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.084s)
2022-11-23T02:28:53.1110624Z   test_schema_correctness_nn_functional_local_response_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.084s)
2022-11-23T02:28:53.1110912Z   test_schema_correctness_nn_functional_local_response_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.084s)
2022-11-23T02:28:53.1111177Z   test_schema_correctness_nn_functional_local_response_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.085s)
2022-11-23T02:28:53.1111466Z   test_schema_correctness_nn_functional_logsigmoid_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1111742Z   test_schema_correctness_nn_functional_logsigmoid_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1112021Z   test_schema_correctness_nn_functional_logsigmoid_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1112303Z   test_schema_correctness_nn_functional_logsigmoid_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1112591Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.117s)
2022-11-23T02:28:53.1112876Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.118s)
2022-11-23T02:28:53.1113164Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.118s)
2022-11-23T02:28:53.1113459Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.119s)
2022-11-23T02:28:53.1113746Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.117s)
2022-11-23T02:28:53.1114011Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.116s)
2022-11-23T02:28:53.1114297Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.116s)
2022-11-23T02:28:53.1114582Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.117s)
2022-11-23T02:28:53.1114867Z   test_schema_correctness_nn_functional_margin_ranking_loss_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.117s)
2022-11-23T02:28:53.1115205Z   test_schema_correctness_nn_functional_max_pool1d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.317s)
2022-11-23T02:28:53.1115486Z   test_schema_correctness_nn_functional_max_pool1d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.342s)
2022-11-23T02:28:53.1115767Z   test_schema_correctness_nn_functional_max_pool1d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.304s)
2022-11-23T02:28:53.1116044Z   test_schema_correctness_nn_functional_max_pool1d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.311s)
2022-11-23T02:28:53.1116323Z   test_schema_correctness_nn_functional_max_pool2d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (12.488s)
2022-11-23T02:28:53.1116596Z   test_schema_correctness_nn_functional_max_pool2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (12.500s)
2022-11-23T02:28:53.1116847Z   test_schema_correctness_nn_functional_max_pool2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (12.503s)
2022-11-23T02:28:53.1117129Z   test_schema_correctness_nn_functional_max_pool2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (12.538s)
2022-11-23T02:28:53.1117402Z   test_schema_correctness_nn_functional_max_pool3d_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.906s)
2022-11-23T02:28:53.1117730Z   test_schema_correctness_nn_functional_max_pool3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.907s)
2022-11-23T02:28:53.1118010Z   test_schema_correctness_nn_functional_max_pool3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.910s)
2022-11-23T02:28:53.1118295Z   test_schema_correctness_nn_functional_max_pool3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.835s)
2022-11-23T02:28:53.1118578Z   test_schema_correctness_nn_functional_max_unpool1d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.580s)
2022-11-23T02:28:53.1118859Z   test_schema_correctness_nn_functional_max_unpool1d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.574s)
2022-11-23T02:28:53.1119137Z   test_schema_correctness_nn_functional_max_unpool1d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.577s)
2022-11-23T02:28:53.1119403Z   test_schema_correctness_nn_functional_max_unpool1d_grad_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.142s)
2022-11-23T02:28:53.1119697Z   test_schema_correctness_nn_functional_max_unpool1d_grad_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.143s)
2022-11-23T02:28:53.1119986Z   test_schema_correctness_nn_functional_max_unpool1d_grad_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.128s)
2022-11-23T02:28:53.1120264Z   test_schema_correctness_nn_functional_max_unpool2d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.524s)
2022-11-23T02:28:53.1120540Z   test_schema_correctness_nn_functional_max_unpool2d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.519s)
2022-11-23T02:28:53.1120822Z   test_schema_correctness_nn_functional_max_unpool2d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.524s)
2022-11-23T02:28:53.1121105Z   test_schema_correctness_nn_functional_max_unpool2d_grad_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.178s)
2022-11-23T02:28:53.1121394Z   test_schema_correctness_nn_functional_max_unpool2d_grad_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.178s)
2022-11-23T02:28:53.1121746Z   test_schema_correctness_nn_functional_max_unpool2d_grad_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.175s)
2022-11-23T02:28:53.1122028Z   test_schema_correctness_nn_functional_max_unpool3d_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.223s)
2022-11-23T02:28:53.1122282Z   test_schema_correctness_nn_functional_max_unpool3d_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.220s)
2022-11-23T02:28:53.1122554Z   test_schema_correctness_nn_functional_max_unpool3d_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.217s)
2022-11-23T02:28:53.1122918Z   test_schema_correctness_nn_functional_max_unpool3d_grad_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.078s)
2022-11-23T02:28:53.1123201Z   test_schema_correctness_nn_functional_max_unpool3d_grad_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.078s)
2022-11-23T02:28:53.1123490Z   test_schema_correctness_nn_functional_max_unpool3d_grad_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.1123768Z   test_schema_correctness_nn_functional_mish_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1124042Z   test_schema_correctness_nn_functional_mish_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1124312Z   test_schema_correctness_nn_functional_mish_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1124581Z   test_schema_correctness_nn_functional_mish_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1124863Z   test_schema_correctness_nn_functional_mse_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1125114Z   test_schema_correctness_nn_functional_mse_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1125440Z   test_schema_correctness_nn_functional_mse_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1125722Z   test_schema_correctness_nn_functional_mse_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1126010Z   test_schema_correctness_nn_functional_multi_margin_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1126293Z   test_schema_correctness_nn_functional_multi_margin_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1126580Z   test_schema_correctness_nn_functional_multi_margin_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1126866Z   test_schema_correctness_nn_functional_multi_margin_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1127171Z   test_schema_correctness_nn_functional_multilabel_margin_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1127464Z   test_schema_correctness_nn_functional_multilabel_margin_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1127765Z   test_schema_correctness_nn_functional_multilabel_margin_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1128032Z   test_schema_correctness_nn_functional_multilabel_margin_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1128339Z   test_schema_correctness_nn_functional_multilabel_soft_margin_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T02:28:53.1128652Z   test_schema_correctness_nn_functional_multilabel_soft_margin_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T02:28:53.1128944Z   test_schema_correctness_nn_functional_multilabel_soft_margin_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T02:28:53.1129249Z   test_schema_correctness_nn_functional_multilabel_soft_margin_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T02:28:53.1129527Z   test_schema_correctness_nn_functional_nll_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.102s)
2022-11-23T02:28:53.1129800Z   test_schema_correctness_nn_functional_nll_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.103s)
2022-11-23T02:28:53.1130064Z   test_schema_correctness_nn_functional_nll_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.103s)
2022-11-23T02:28:53.1130404Z   test_schema_correctness_nn_functional_nll_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.102s)
2022-11-23T02:28:53.1130680Z   test_schema_correctness_nn_functional_normalize_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.054s)
2022-11-23T02:28:53.1130941Z   test_schema_correctness_nn_functional_normalize_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T02:28:53.1131221Z   test_schema_correctness_nn_functional_normalize_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.057s)
2022-11-23T02:28:53.1131499Z   test_schema_correctness_nn_functional_normalize_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.055s)
2022-11-23T02:28:53.1131775Z   test_schema_correctness_nn_functional_normalize_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.054s)
2022-11-23T02:28:53.1132051Z   test_schema_correctness_nn_functional_normalize_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.054s)
2022-11-23T02:28:53.1132326Z   test_schema_correctness_nn_functional_one_hot_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T02:28:53.1132618Z   test_schema_correctness_nn_functional_pad_circular_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.181s)
2022-11-23T02:28:53.1132949Z   test_schema_correctness_nn_functional_pad_circular_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1133244Z   test_schema_correctness_nn_functional_pad_circular_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.187s)
2022-11-23T02:28:53.1133532Z   test_schema_correctness_nn_functional_pad_circular_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.189s)
2022-11-23T02:28:53.1133791Z   test_schema_correctness_nn_functional_pad_circular_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.181s)
2022-11-23T02:28:53.1134078Z   test_schema_correctness_nn_functional_pad_circular_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.182s)
2022-11-23T02:28:53.1134362Z   test_schema_correctness_nn_functional_pad_circular_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.181s)
2022-11-23T02:28:53.1134639Z   test_schema_correctness_nn_functional_pad_circular_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.180s)
2022-11-23T02:28:53.1134918Z   test_schema_correctness_nn_functional_pad_circular_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.180s)
2022-11-23T02:28:53.1135200Z   test_schema_correctness_nn_functional_pad_circular_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.180s)
2022-11-23T02:28:53.1135477Z   test_schema_correctness_nn_functional_pad_circular_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.180s)
2022-11-23T02:28:53.1135758Z   test_schema_correctness_nn_functional_pad_circular_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.181s)
2022-11-23T02:28:53.1136573Z   test_schema_correctness_nn_functional_pad_constant_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.1137077Z   test_schema_correctness_nn_functional_pad_constant_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1137533Z   test_schema_correctness_nn_functional_pad_constant_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.056s)
2022-11-23T02:28:53.1138041Z   test_schema_correctness_nn_functional_pad_constant_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.056s)
2022-11-23T02:28:53.1138449Z   test_schema_correctness_nn_functional_pad_constant_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1138729Z   test_schema_correctness_nn_functional_pad_constant_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1139003Z   test_schema_correctness_nn_functional_pad_constant_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1139449Z   test_schema_correctness_nn_functional_pad_constant_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.1139729Z   test_schema_correctness_nn_functional_pad_constant_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1140009Z   test_schema_correctness_nn_functional_pad_constant_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1140293Z   test_schema_correctness_nn_functional_pad_constant_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1140546Z   test_schema_correctness_nn_functional_pad_constant_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1140828Z   test_schema_correctness_nn_functional_pad_reflect_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1141113Z   test_schema_correctness_nn_functional_pad_reflect_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1141399Z   test_schema_correctness_nn_functional_pad_reflect_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1141679Z   test_schema_correctness_nn_functional_pad_reflect_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1142057Z   test_schema_correctness_nn_functional_pad_reflect_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1142347Z   test_schema_correctness_nn_functional_pad_reflect_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1142636Z   test_schema_correctness_nn_functional_pad_replicate_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1142925Z   test_schema_correctness_nn_functional_pad_replicate_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1143209Z   test_schema_correctness_nn_functional_pad_replicate_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1143470Z   test_schema_correctness_nn_functional_pad_replicate_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1143743Z   test_schema_correctness_nn_functional_pad_replicate_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1144036Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.1144330Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.1144618Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.1144909Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.1145199Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.1145494Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.1145781Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.1146065Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.1146324Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.1146610Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.1146891Z   test_schema_correctness_nn_functional_pairwise_distance_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.1147232Z   test_schema_correctness_nn_functional_pdist_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1147503Z   test_schema_correctness_nn_functional_pdist_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1147791Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1148073Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1148364Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1148647Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1148984Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1149248Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1149525Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1149856Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1150138Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1150418Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1150697Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1150977Z   test_schema_correctness_nn_functional_pixel_shuffle_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1151265Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1151545Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1151841Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1152110Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1152391Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1152674Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1152961Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1153239Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1153519Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1153792Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1154076Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1154355Z   test_schema_correctness_nn_functional_pixel_unshuffle_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1154640Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.564s)
2022-11-23T02:28:53.1155028Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.562s)
2022-11-23T02:28:53.1155289Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.565s)
2022-11-23T02:28:53.1155579Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.565s)
2022-11-23T02:28:53.1155860Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.560s)
2022-11-23T02:28:53.1156138Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.562s)
2022-11-23T02:28:53.1156414Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.561s)
2022-11-23T02:28:53.1156697Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.558s)
2022-11-23T02:28:53.1156993Z   test_schema_correctness_nn_functional_poisson_nll_loss_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.561s)
2022-11-23T02:28:53.1157267Z   test_schema_correctness_nn_functional_prelu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T02:28:53.1157560Z   test_schema_correctness_nn_functional_prelu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1157839Z   test_schema_correctness_nn_functional_prelu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.028s)
2022-11-23T02:28:53.1158108Z   test_schema_correctness_nn_functional_relu6_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1158376Z   test_schema_correctness_nn_functional_relu6_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1158645Z   test_schema_correctness_nn_functional_relu6_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1158915Z   test_schema_correctness_nn_functional_relu6_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1159180Z   test_schema_correctness_nn_functional_relu6_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1159460Z   test_schema_correctness_nn_functional_relu6_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1159720Z   test_schema_correctness_nn_functional_relu6_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1159987Z   test_schema_correctness_nn_functional_relu6_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1160228Z   test_schema_correctness_nn_functional_relu6_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1160495Z   test_schema_correctness_nn_functional_relu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1160766Z   test_schema_correctness_nn_functional_relu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1161038Z   test_schema_correctness_nn_functional_relu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1161296Z   test_schema_correctness_nn_functional_relu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1161561Z   test_schema_correctness_nn_functional_relu_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1161823Z   test_schema_correctness_nn_functional_relu_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1162090Z   test_schema_correctness_nn_functional_relu_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1162354Z   test_schema_correctness_nn_functional_relu_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1162659Z   test_schema_correctness_nn_functional_relu_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1162930Z   test_schema_correctness_nn_functional_rrelu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T02:28:53.1163212Z   test_schema_correctness_nn_functional_rrelu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T02:28:53.1163480Z   test_schema_correctness_nn_functional_rrelu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T02:28:53.1163739Z   test_schema_correctness_nn_functional_rrelu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.063s)
2022-11-23T02:28:53.1164002Z   test_schema_correctness_nn_functional_selu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1164274Z   test_schema_correctness_nn_functional_selu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1164547Z   test_schema_correctness_nn_functional_selu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1164809Z   test_schema_correctness_nn_functional_selu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1165142Z   test_schema_correctness_nn_functional_silu_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1165398Z   test_schema_correctness_nn_functional_silu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1165655Z   test_schema_correctness_nn_functional_silu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1165914Z   test_schema_correctness_nn_functional_silu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1166190Z   test_schema_correctness_nn_functional_smooth_l1_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1166471Z   test_schema_correctness_nn_functional_smooth_l1_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1166748Z   test_schema_correctness_nn_functional_smooth_l1_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1167043Z   test_schema_correctness_nn_functional_soft_margin_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1167336Z   test_schema_correctness_nn_functional_soft_margin_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1167623Z   test_schema_correctness_nn_functional_soft_margin_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1167884Z   test_schema_correctness_nn_functional_soft_margin_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1168163Z   test_schema_correctness_nn_functional_softmin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1168460Z   test_schema_correctness_nn_functional_softmin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1168732Z   test_schema_correctness_nn_functional_softmin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1169003Z   test_schema_correctness_nn_functional_softmin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1169293Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.087s)
2022-11-23T02:28:53.1169589Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.087s)
2022-11-23T02:28:53.1169892Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.087s)
2022-11-23T02:28:53.1170320Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.087s)
2022-11-23T02:28:53.1170611Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.088s)
2022-11-23T02:28:53.1170881Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1171172Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.086s)
2022-11-23T02:28:53.1171454Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.086s)
2022-11-23T02:28:53.1171741Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.086s)
2022-11-23T02:28:53.1172022Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.086s)
2022-11-23T02:28:53.1172312Z   test_schema_correctness_nn_functional_softmin_with_dtype_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.086s)
2022-11-23T02:28:53.1172587Z   test_schema_correctness_nn_functional_softplus_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1172953Z   test_schema_correctness_nn_functional_softplus_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1173245Z   test_schema_correctness_nn_functional_softplus_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1173522Z   test_schema_correctness_nn_functional_softplus_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1173779Z   test_schema_correctness_nn_functional_softshrink_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1174063Z   test_schema_correctness_nn_functional_softshrink_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1174346Z   test_schema_correctness_nn_functional_softshrink_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1174625Z   test_schema_correctness_nn_functional_softshrink_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1174910Z   test_schema_correctness_nn_functional_softsign_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1175189Z   test_schema_correctness_nn_functional_softsign_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1175473Z   test_schema_correctness_nn_functional_softsign_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1175748Z   test_schema_correctness_nn_functional_softsign_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1176467Z   test_schema_correctness_nn_functional_softsign_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1176959Z   test_schema_correctness_nn_functional_softsign_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1177364Z   test_schema_correctness_nn_functional_softsign_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1177651Z   test_schema_correctness_nn_functional_softsign_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1177922Z   test_schema_correctness_nn_functional_softsign_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1178184Z   test_schema_correctness_nn_functional_softsign_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1178452Z   test_schema_correctness_nn_functional_softsign_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1178939Z   test_schema_correctness_nn_functional_softsign_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1179222Z   test_schema_correctness_nn_functional_tanhshrink_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1179509Z   test_schema_correctness_nn_functional_tanhshrink_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1179796Z   test_schema_correctness_nn_functional_tanhshrink_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1180050Z   test_schema_correctness_nn_functional_tanhshrink_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1180323Z   test_schema_correctness_nn_functional_tanhshrink_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1180602Z   test_schema_correctness_nn_functional_tanhshrink_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1180884Z   test_schema_correctness_nn_functional_tanhshrink_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1181156Z   test_schema_correctness_nn_functional_tanhshrink_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1181497Z   test_schema_correctness_nn_functional_tanhshrink_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1181788Z   test_schema_correctness_nn_functional_tanhshrink_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1182064Z   test_schema_correctness_nn_functional_tanhshrink_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1182337Z   test_schema_correctness_nn_functional_threshold_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1182610Z   test_schema_correctness_nn_functional_threshold_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1182867Z   test_schema_correctness_nn_functional_threshold_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1183150Z   test_schema_correctness_nn_functional_threshold_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1183424Z   test_schema_correctness_nn_functional_threshold_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1183693Z   test_schema_correctness_nn_functional_threshold_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1183956Z   test_schema_correctness_nn_functional_threshold_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1184221Z   test_schema_correctness_nn_functional_threshold_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1184493Z   test_schema_correctness_nn_functional_threshold_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1184788Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.1185087Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.075s)
2022-11-23T02:28:53.1185383Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.074s)
2022-11-23T02:28:53.1185651Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1185941Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1186227Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.1186584Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.071s)
2022-11-23T02:28:53.1186872Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1187162Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1187442Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.1187729Z   test_schema_correctness_nn_functional_triplet_margin_loss_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1188037Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1188352Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.075s)
2022-11-23T02:28:53.1188642Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.074s)
2022-11-23T02:28:53.1189009Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1189320Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1189631Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.072s)
2022-11-23T02:28:53.1189931Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1190234Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1190547Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1190855Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1191149Z   test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1191421Z   test_schema_correctness_nn_functional_unfold_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.582s)
2022-11-23T02:28:53.1191708Z   test_schema_correctness_nn_functional_unfold_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.612s)
2022-11-23T02:28:53.1191960Z   test_schema_correctness_nn_functional_unfold_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.620s)
2022-11-23T02:28:53.1192246Z   test_schema_correctness_nn_functional_unfold_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.578s)
2022-11-23T02:28:53.1192516Z   test_schema_correctness_nn_functional_unfold_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.577s)
2022-11-23T02:28:53.1192789Z   test_schema_correctness_nn_functional_unfold_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.578s)
2022-11-23T02:28:53.1193691Z   test_schema_correctness_nn_functional_upsample_bilinear_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-11-23T02:28:53.1193970Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T02:28:53.1194082Z ok (0.008s)
2022-11-23T02:28:53.1194374Z   test_schema_correctness_nn_functional_upsample_bilinear_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1194732Z   test_schema_correctness_nn_functional_upsample_bilinear_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1195483Z   test_schema_correctness_nn_functional_upsample_nearest_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T02:28:53.1195732Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T02:28:53.1195842Z ok (0.016s)
2022-11-23T02:28:53.1196131Z   test_schema_correctness_nn_functional_upsample_nearest_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1196417Z   test_schema_correctness_nn_functional_upsample_nearest_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1196706Z   test_schema_correctness_nn_functional_upsample_nearest_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1196970Z   test_schema_correctness_nonzero_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.1197323Z   test_schema_correctness_nonzero_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.1197590Z   test_schema_correctness_nonzero_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T02:28:53.1197850Z   test_schema_correctness_nonzero_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1198084Z   test_schema_correctness_nonzero_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T02:28:53.1198339Z   test_schema_correctness_nonzero_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T02:28:53.1198598Z   test_schema_correctness_nonzero_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.1198858Z   test_schema_correctness_nonzero_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.1199123Z   test_schema_correctness_nonzero_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.1199373Z   test_schema_correctness_nonzero_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.1199622Z   test_schema_correctness_nonzero_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.1199874Z   test_schema_correctness_nonzero_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.1200122Z   test_schema_correctness_nonzero_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.1200340Z   test_schema_correctness_norm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.1200597Z   test_schema_correctness_norm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.056s)
2022-11-23T02:28:53.1200850Z   test_schema_correctness_norm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.056s)
2022-11-23T02:28:53.1201107Z   test_schema_correctness_norm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1201355Z   test_schema_correctness_norm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1201601Z   test_schema_correctness_norm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.1201859Z   test_schema_correctness_norm_fro_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1202140Z   test_schema_correctness_norm_fro_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.1202424Z   test_schema_correctness_norm_fro_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.1202740Z   test_schema_correctness_norm_fro_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1202994Z   test_schema_correctness_norm_fro_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1203251Z   test_schema_correctness_norm_fro_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1203510Z   test_schema_correctness_norm_inf_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1203773Z   test_schema_correctness_norm_inf_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1204035Z   test_schema_correctness_norm_inf_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1204293Z   test_schema_correctness_norm_inf_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1204540Z   test_schema_correctness_norm_inf_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1204790Z   test_schema_correctness_norm_inf_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1205029Z   test_schema_correctness_norm_nuc_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.1205368Z   test_schema_correctness_norm_nuc_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1205621Z   test_schema_correctness_norm_nuc_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1205870Z   test_schema_correctness_norm_nuc_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1206126Z   test_schema_correctness_normal_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1206384Z   test_schema_correctness_normal_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1206641Z   test_schema_correctness_normal_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1206897Z   test_schema_correctness_normal_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1207172Z   test_schema_correctness_normal_number_mean_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1207425Z   test_schema_correctness_normal_number_mean_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1207683Z   test_schema_correctness_normal_number_mean_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1207957Z   test_schema_correctness_normal_number_mean_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1208214Z   test_schema_correctness_ones_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1208470Z   test_schema_correctness_ones_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1208736Z   test_schema_correctness_ones_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1208991Z   test_schema_correctness_ones_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1209247Z   test_schema_correctness_ones_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1209509Z   test_schema_correctness_ones_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1209733Z   test_schema_correctness_ones_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1209971Z   test_schema_correctness_ones_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1210229Z   test_schema_correctness_ones_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1210582Z   test_schema_correctness_ones_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1210825Z   test_schema_correctness_ones_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1211065Z   test_schema_correctness_ones_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1211315Z   test_schema_correctness_ones_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1211573Z   test_schema_correctness_ones_like_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.1211826Z   test_schema_correctness_ones_like_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1212069Z   test_schema_correctness_ones_like_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1212335Z   test_schema_correctness_ones_like_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1212599Z   test_schema_correctness_ones_like_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1212859Z   test_schema_correctness_ones_like_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.1213115Z   test_schema_correctness_ones_like_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.1213414Z   test_schema_correctness_ones_like_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1213667Z   test_schema_correctness_ones_like_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1213915Z   test_schema_correctness_ones_like_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1214157Z   test_schema_correctness_ones_like_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.1214382Z   test_schema_correctness_ones_like_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1214638Z   test_schema_correctness_ones_like_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1214890Z   test_schema_correctness_ormqr_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.238s)
2022-11-23T02:28:53.1215136Z   test_schema_correctness_ormqr_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.238s)
2022-11-23T02:28:53.1215386Z   test_schema_correctness_ormqr_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.214s)
2022-11-23T02:28:53.1215630Z   test_schema_correctness_ormqr_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.214s)
2022-11-23T02:28:53.1215877Z   test_schema_correctness_outer_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1216715Z   test_schema_correctness_outer_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1217163Z   test_schema_correctness_outer_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1217586Z   test_schema_correctness_outer_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1218017Z   test_schema_correctness_outer_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1218436Z   test_schema_correctness_outer_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1218699Z   test_schema_correctness_outer_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1218945Z   test_schema_correctness_outer_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1219183Z   test_schema_correctness_outer_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1219416Z   test_schema_correctness_outer_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1219818Z   test_schema_correctness_outer_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1220052Z   test_schema_correctness_outer_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1220287Z   test_schema_correctness_pca_lowrank_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (6.110s)
2022-11-23T02:28:53.1220548Z   test_schema_correctness_pca_lowrank_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (6.087s)
2022-11-23T02:28:53.1220802Z   test_schema_correctness_permute_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1221051Z   test_schema_correctness_permute_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1221310Z   test_schema_correctness_permute_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1221566Z   test_schema_correctness_permute_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1221868Z   test_schema_correctness_permute_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1222123Z   test_schema_correctness_permute_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1222377Z   test_schema_correctness_permute_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1222684Z   test_schema_correctness_permute_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1222944Z   test_schema_correctness_permute_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1223190Z   test_schema_correctness_permute_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1223430Z   test_schema_correctness_permute_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1223678Z   test_schema_correctness_permute_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1223928Z   test_schema_correctness_permute_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1224183Z   test_schema_correctness_pinverse_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.612s)
2022-11-23T02:28:53.1224446Z   test_schema_correctness_pinverse_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.593s)
2022-11-23T02:28:53.1224702Z   test_schema_correctness_pinverse_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.588s)
2022-11-23T02:28:53.1224936Z   test_schema_correctness_pinverse_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.591s)
2022-11-23T02:28:53.1225184Z   test_schema_correctness_polar_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1225423Z   test_schema_correctness_polar_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1225697Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.520s)
2022-11-23T02:28:53.1225974Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.578s)
2022-11-23T02:28:53.1226252Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.501s)
2022-11-23T02:28:53.1226526Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.216s)
2022-11-23T02:28:53.1226801Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1227065Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1227320Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1227568Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1227912Z   test_schema_correctness_polygamma_polygamma_n_0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1228180Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1228459Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1228729Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1228994Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1229342Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1229610Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1229865Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1230111Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1230430Z   test_schema_correctness_polygamma_polygamma_n_1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1230703Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1230970Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1231231Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1231513Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1231780Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1232048Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1232311Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1232578Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1232821Z   test_schema_correctness_polygamma_polygamma_n_2_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1233080Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1233355Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1233634Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1233925Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1234200Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1234471Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1234734Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1235010Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1235310Z   test_schema_correctness_polygamma_polygamma_n_3_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1235582Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1235858Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1236135Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1236413Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1236684Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1236946Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1237211Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1237483Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1237807Z   test_schema_correctness_polygamma_polygamma_n_4_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1238047Z   test_schema_correctness_positive_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1238311Z   test_schema_correctness_positive_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1238574Z   test_schema_correctness_positive_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1238834Z   test_schema_correctness_positive_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1239093Z   test_schema_correctness_positive_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1239354Z   test_schema_correctness_positive_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1239612Z   test_schema_correctness_positive_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1239872Z   test_schema_correctness_positive_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1240121Z   test_schema_correctness_positive_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1240352Z   test_schema_correctness_positive_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1240618Z   test_schema_correctness_positive_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1240870Z   test_schema_correctness_positive_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1241124Z   test_schema_correctness_pow_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1241378Z   test_schema_correctness_pow_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1241631Z   test_schema_correctness_pow_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1241881Z   test_schema_correctness_pow_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1242124Z   test_schema_correctness_pow_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1242365Z   test_schema_correctness_pow_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1242588Z   test_schema_correctness_pow_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1242842Z   test_schema_correctness_pow_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1243184Z   test_schema_correctness_pow_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1243426Z   test_schema_correctness_pow_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1243667Z   test_schema_correctness_pow_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1243910Z   test_schema_correctness_pow_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1244167Z   test_schema_correctness_prod_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T02:28:53.1244416Z   test_schema_correctness_prod_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.1244673Z   test_schema_correctness_prod_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T02:28:53.1244907Z   test_schema_correctness_prod_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1245164Z   test_schema_correctness_prod_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T02:28:53.1245415Z   test_schema_correctness_prod_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.1245659Z   test_schema_correctness_prod_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T02:28:53.1245976Z   test_schema_correctness_prod_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T02:28:53.1246227Z   test_schema_correctness_prod_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.049s)
2022-11-23T02:28:53.1246480Z   test_schema_correctness_prod_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.055s)
2022-11-23T02:28:53.1246721Z   test_schema_correctness_prod_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.1246945Z   test_schema_correctness_prod_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.036s)
2022-11-23T02:28:53.1247204Z   test_schema_correctness_prod_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.043s)
2022-11-23T02:28:53.1247454Z   test_schema_correctness_put_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.1247700Z   test_schema_correctness_put_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T02:28:53.1247958Z   test_schema_correctness_put_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T02:28:53.1248219Z   test_schema_correctness_put_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.1248466Z   test_schema_correctness_put_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1248708Z   test_schema_correctness_put_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1248954Z   test_schema_correctness_put_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1249175Z   test_schema_correctness_put_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1249419Z   test_schema_correctness_put_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T02:28:53.1249663Z   test_schema_correctness_put_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1249906Z   test_schema_correctness_put_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1250144Z   test_schema_correctness_put_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1251009Z   test_schema_correctness_qr_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release.
2022-11-23T02:28:53.1251374Z The boolean parameter 'some' has been replaced with a string parameter 'mode'.
2022-11-23T02:28:53.1251500Z Q, R = torch.qr(A, some)
2022-11-23T02:28:53.1251623Z should be replaced with
2022-11-23T02:28:53.1252078Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2458.)
2022-11-23T02:28:53.1252220Z   return self.op(*args, **kwargs)
2022-11-23T02:28:53.1252329Z ok (0.070s)
2022-11-23T02:28:53.1252583Z   test_schema_correctness_qr_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1252834Z   test_schema_correctness_qr_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1253088Z   test_schema_correctness_qr_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.1253351Z   test_schema_correctness_quantile_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.698s)
2022-11-23T02:28:53.1253613Z   test_schema_correctness_quantile_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.683s)
2022-11-23T02:28:53.1253880Z   test_schema_correctness_rad2deg_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1254104Z   test_schema_correctness_rad2deg_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1254430Z   test_schema_correctness_rad2deg_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1254696Z   test_schema_correctness_rad2deg_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1254952Z   test_schema_correctness_rad2deg_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1255208Z   test_schema_correctness_rad2deg_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1255465Z   test_schema_correctness_rad2deg_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1255709Z   test_schema_correctness_rad2deg_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1255996Z   test_schema_correctness_rad2deg_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1256692Z   test_schema_correctness_rad2deg_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1257127Z   test_schema_correctness_rand_like_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1257568Z   test_schema_correctness_rand_like_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1258021Z   test_schema_correctness_rand_like_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1258334Z   test_schema_correctness_rand_like_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.1258598Z   test_schema_correctness_rand_like_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1258857Z   test_schema_correctness_rand_like_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1259106Z   test_schema_correctness_rand_like_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1259370Z   test_schema_correctness_randint_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.109s)
2022-11-23T02:28:53.1259623Z   test_schema_correctness_randint_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.109s)
2022-11-23T02:28:53.1259854Z   test_schema_correctness_randint_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.109s)
2022-11-23T02:28:53.1260107Z   test_schema_correctness_randint_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.109s)
2022-11-23T02:28:53.1260360Z   test_schema_correctness_randint_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.110s)
2022-11-23T02:28:53.1260776Z   test_schema_correctness_randint_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.109s)
2022-11-23T02:28:53.1261020Z   test_schema_correctness_randint_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.109s)
2022-11-23T02:28:53.1261274Z   test_schema_correctness_randint_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.109s)
2022-11-23T02:28:53.1261521Z   test_schema_correctness_randint_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.108s)
2022-11-23T02:28:53.1261789Z   test_schema_correctness_randint_like_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.103s)
2022-11-23T02:28:53.1262050Z   test_schema_correctness_randint_like_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.102s)
2022-11-23T02:28:53.1262290Z   test_schema_correctness_randint_like_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.103s)
2022-11-23T02:28:53.1262541Z   test_schema_correctness_randint_like_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.104s)
2022-11-23T02:28:53.1262800Z   test_schema_correctness_randint_like_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.102s)
2022-11-23T02:28:53.1263057Z   test_schema_correctness_randint_like_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.102s)
2022-11-23T02:28:53.1263380Z   test_schema_correctness_randint_like_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.102s)
2022-11-23T02:28:53.1263641Z   test_schema_correctness_randint_like_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.102s)
2022-11-23T02:28:53.1263900Z   test_schema_correctness_randint_like_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.102s)
2022-11-23T02:28:53.1264155Z   test_schema_correctness_randn_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1264417Z   test_schema_correctness_randn_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1264649Z   test_schema_correctness_randn_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1264916Z   test_schema_correctness_randn_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1265171Z   test_schema_correctness_randn_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1265416Z   test_schema_correctness_randn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1265663Z   test_schema_correctness_randn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1265925Z   test_schema_correctness_randn_like_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1266188Z   test_schema_correctness_randn_like_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.1266456Z   test_schema_correctness_randn_like_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1266721Z   test_schema_correctness_randn_like_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.053s)
2022-11-23T02:28:53.1266960Z   test_schema_correctness_randn_like_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1267210Z   test_schema_correctness_randn_like_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1267465Z   test_schema_correctness_randn_like_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1267714Z   test_schema_correctness_ravel_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1267963Z   test_schema_correctness_ravel_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1268213Z   test_schema_correctness_ravel_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1268467Z   test_schema_correctness_ravel_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1268817Z   test_schema_correctness_ravel_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.1269065Z   test_schema_correctness_ravel_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1269289Z   test_schema_correctness_ravel_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1269536Z   test_schema_correctness_ravel_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1269776Z   test_schema_correctness_ravel_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1270009Z   test_schema_correctness_ravel_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1270241Z   test_schema_correctness_ravel_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1270488Z   test_schema_correctness_ravel_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1270734Z   test_schema_correctness_ravel_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.1270978Z   test_schema_correctness_real_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1271293Z   test_schema_correctness_real_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1271533Z   test_schema_correctness_real_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1271779Z   test_schema_correctness_real_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1272022Z   test_schema_correctness_real_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1272271Z   test_schema_correctness_real_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1272513Z   test_schema_correctness_real_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1272756Z   test_schema_correctness_real_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1273000Z   test_schema_correctness_real_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1273240Z   test_schema_correctness_real_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1273454Z   test_schema_correctness_real_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1273696Z   test_schema_correctness_real_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1273938Z   test_schema_correctness_real_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1274200Z   test_schema_correctness_reciprocal_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1274456Z   test_schema_correctness_reciprocal_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1274726Z   test_schema_correctness_reciprocal_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1274993Z   test_schema_correctness_reciprocal_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1275254Z   test_schema_correctness_reciprocal_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1275512Z   test_schema_correctness_reciprocal_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1275749Z   test_schema_correctness_reciprocal_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1276007Z   test_schema_correctness_reciprocal_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1276261Z   test_schema_correctness_reciprocal_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1276584Z   test_schema_correctness_reciprocal_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1276841Z   test_schema_correctness_reciprocal_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1277098Z   test_schema_correctness_reciprocal_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1277354Z   test_schema_correctness_remainder_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1277613Z   test_schema_correctness_remainder_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1277862Z   test_schema_correctness_remainder_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1278098Z   test_schema_correctness_remainder_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1278348Z   test_schema_correctness_remainder_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1278608Z   test_schema_correctness_remainder_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1278859Z   test_schema_correctness_remainder_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1279170Z   test_schema_correctness_remainder_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1279423Z   test_schema_correctness_remainder_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1279667Z   test_schema_correctness_renorm_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1279918Z   test_schema_correctness_renorm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1280169Z   test_schema_correctness_renorm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1280400Z   test_schema_correctness_renorm_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1280649Z   test_schema_correctness_renorm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1280890Z   test_schema_correctness_renorm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1281148Z   test_schema_correctness_repeat_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1281392Z   test_schema_correctness_repeat_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1281645Z   test_schema_correctness_repeat_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1281900Z   test_schema_correctness_repeat_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.052s)
2022-11-23T02:28:53.1282149Z   test_schema_correctness_repeat_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1282396Z   test_schema_correctness_repeat_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1282626Z   test_schema_correctness_repeat_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.1282875Z   test_schema_correctness_repeat_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1283125Z   test_schema_correctness_repeat_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1283369Z   test_schema_correctness_repeat_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.1283616Z   test_schema_correctness_repeat_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.1283860Z   test_schema_correctness_repeat_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.1284130Z   test_schema_correctness_repeat_interleave_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.1284483Z   test_schema_correctness_repeat_interleave_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.1284762Z   test_schema_correctness_repeat_interleave_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.049s)
2022-11-23T02:28:53.1285016Z   test_schema_correctness_repeat_interleave_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1285284Z   test_schema_correctness_repeat_interleave_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.1285554Z   test_schema_correctness_repeat_interleave_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.1285826Z   test_schema_correctness_repeat_interleave_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.1286092Z   test_schema_correctness_repeat_interleave_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.1286363Z   test_schema_correctness_repeat_interleave_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.1286626Z   test_schema_correctness_repeat_interleave_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.1286956Z   test_schema_correctness_repeat_interleave_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T02:28:53.1287230Z   test_schema_correctness_repeat_interleave_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.1287489Z   test_schema_correctness_repeat_interleave_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.1287729Z   test_schema_correctness_reshape_as_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1287982Z   test_schema_correctness_reshape_as_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1288250Z   test_schema_correctness_reshape_as_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1288512Z   test_schema_correctness_reshape_as_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1288773Z   test_schema_correctness_reshape_as_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1289044Z   test_schema_correctness_reshape_as_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1289306Z   test_schema_correctness_reshape_as_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1289555Z   test_schema_correctness_reshape_as_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1289804Z   test_schema_correctness_reshape_as_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1290035Z   test_schema_correctness_reshape_as_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1290278Z   test_schema_correctness_reshape_as_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1290529Z   test_schema_correctness_reshape_as_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1290787Z   test_schema_correctness_reshape_as_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1291040Z   test_schema_correctness_reshape_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.1291288Z   test_schema_correctness_reshape_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.1291544Z   test_schema_correctness_reshape_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.1291797Z   test_schema_correctness_reshape_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1292051Z   test_schema_correctness_reshape_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.1292346Z   test_schema_correctness_reshape_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.1292597Z   test_schema_correctness_reshape_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.1292844Z   test_schema_correctness_reshape_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.1293099Z   test_schema_correctness_reshape_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.1293342Z   test_schema_correctness_reshape_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1293582Z   test_schema_correctness_reshape_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.1293833Z   test_schema_correctness_reshape_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.030s)
2022-11-23T02:28:53.1294088Z   test_schema_correctness_reshape_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.029s)
2022-11-23T02:28:53.1294338Z   test_schema_correctness_resize__cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.1294562Z   test_schema_correctness_resize__cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1294945Z   test_schema_correctness_resize__cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1295212Z   test_schema_correctness_resize__cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1295464Z   test_schema_correctness_resize__cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.1295712Z   test_schema_correctness_resize__cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.1295959Z   test_schema_correctness_resize__cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1296840Z   test_schema_correctness_resize__cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.1297278Z   test_schema_correctness_resize__cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.1297703Z   test_schema_correctness_resize__cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.1298104Z   test_schema_correctness_resize__cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.1298375Z   test_schema_correctness_resize__cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1298630Z   test_schema_correctness_resize_as__cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1298878Z   test_schema_correctness_resize_as__cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1299132Z   test_schema_correctness_resize_as__cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1299400Z   test_schema_correctness_resize_as__cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1299653Z   test_schema_correctness_resize_as__cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1299908Z   test_schema_correctness_resize_as__cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1300154Z   test_schema_correctness_resize_as__cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1300385Z   test_schema_correctness_resize_as__cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1300633Z   test_schema_correctness_resize_as__cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1300878Z   test_schema_correctness_resize_as__cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1301306Z   test_schema_correctness_resize_as__cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1301551Z   test_schema_correctness_resize_as__cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1301805Z   test_schema_correctness_resolve_conj_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1302061Z   test_schema_correctness_resolve_conj_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1302323Z   test_schema_correctness_resolve_conj_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1302584Z   test_schema_correctness_resolve_conj_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1302821Z   test_schema_correctness_resolve_conj_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1303074Z   test_schema_correctness_resolve_conj_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1303335Z   test_schema_correctness_resolve_conj_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1303588Z   test_schema_correctness_resolve_conj_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1303932Z   test_schema_correctness_resolve_conj_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1304189Z   test_schema_correctness_resolve_conj_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1304441Z   test_schema_correctness_resolve_conj_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1304688Z   test_schema_correctness_resolve_conj_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1304944Z   test_schema_correctness_resolve_neg_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1305179Z   test_schema_correctness_resolve_neg_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1305440Z   test_schema_correctness_resolve_neg_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1305699Z   test_schema_correctness_resolve_neg_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1305960Z   test_schema_correctness_resolve_neg_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1306214Z   test_schema_correctness_resolve_neg_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1306472Z   test_schema_correctness_resolve_neg_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1306720Z   test_schema_correctness_resolve_neg_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1306970Z   test_schema_correctness_resolve_neg_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1307223Z   test_schema_correctness_resolve_neg_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1307452Z   test_schema_correctness_resolve_neg_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1307711Z   test_schema_correctness_resolve_neg_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1308022Z   test_schema_correctness_resolve_neg_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1308276Z   test_schema_correctness_roll_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T02:28:53.1308516Z   test_schema_correctness_roll_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.1308769Z   test_schema_correctness_roll_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1309152Z   test_schema_correctness_roll_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1309401Z   test_schema_correctness_roll_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1309651Z   test_schema_correctness_roll_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.1309877Z   test_schema_correctness_roll_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.1310110Z   test_schema_correctness_roll_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.1310350Z   test_schema_correctness_roll_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.1310579Z   test_schema_correctness_roll_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1310816Z   test_schema_correctness_roll_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.1311054Z   test_schema_correctness_roll_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.042s)
2022-11-23T02:28:53.1311294Z   test_schema_correctness_roll_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.1311538Z   test_schema_correctness_rot90_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.1311828Z   test_schema_correctness_rot90_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T02:28:53.1312069Z   test_schema_correctness_rot90_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.041s)
2022-11-23T02:28:53.1312318Z   test_schema_correctness_rot90_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T02:28:53.1312567Z   test_schema_correctness_rot90_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.040s)
2022-11-23T02:28:53.1312806Z   test_schema_correctness_rot90_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.1313045Z   test_schema_correctness_rot90_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.1313289Z   test_schema_correctness_rot90_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.1313522Z   test_schema_correctness_rot90_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.1313753Z   test_schema_correctness_rot90_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.1313989Z   test_schema_correctness_rot90_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.1314202Z   test_schema_correctness_rot90_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.038s)
2022-11-23T02:28:53.1314448Z   test_schema_correctness_round_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1314690Z   test_schema_correctness_round_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1314935Z   test_schema_correctness_round_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1315174Z   test_schema_correctness_round_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1315411Z   test_schema_correctness_round_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1315657Z   test_schema_correctness_round_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1315890Z   test_schema_correctness_round_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1316131Z   test_schema_correctness_round_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1316347Z   test_schema_correctness_round_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1316610Z   test_schema_correctness_round_decimals_0_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1316932Z   test_schema_correctness_round_decimals_0_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1317194Z   test_schema_correctness_round_decimals_0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1317459Z   test_schema_correctness_round_decimals_0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1317725Z   test_schema_correctness_round_decimals_3_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1317980Z   test_schema_correctness_round_decimals_3_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1318231Z   test_schema_correctness_round_decimals_3_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1318495Z   test_schema_correctness_round_decimals_3_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1318751Z   test_schema_correctness_round_decimals_neg_3_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1319027Z   test_schema_correctness_round_decimals_neg_3_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1319346Z   test_schema_correctness_round_decimals_neg_3_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1319606Z   test_schema_correctness_round_decimals_neg_3_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1319853Z   test_schema_correctness_rsqrt_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1320094Z   test_schema_correctness_rsqrt_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1320343Z   test_schema_correctness_rsqrt_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.072s)
2022-11-23T02:28:53.1320598Z   test_schema_correctness_rsqrt_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1320850Z   test_schema_correctness_rsqrt_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.948s)
2022-11-23T02:28:53.1321080Z   test_schema_correctness_rsqrt_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1321328Z   test_schema_correctness_rsqrt_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1321568Z   test_schema_correctness_rsqrt_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1321857Z   test_schema_correctness_rsqrt_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1322095Z   test_schema_correctness_rsqrt_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1322331Z   test_schema_correctness_rsqrt_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1322575Z   test_schema_correctness_rsqrt_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1322818Z   test_schema_correctness_rsqrt_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1323063Z   test_schema_correctness_rsub_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1323298Z   test_schema_correctness_rsub_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1323552Z   test_schema_correctness_rsub_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1323797Z   test_schema_correctness_rsub_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1324033Z   test_schema_correctness_rsub_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1324267Z   test_schema_correctness_rsub_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1324614Z   test_schema_correctness_rsub_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1324848Z   test_schema_correctness_rsub_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1325087Z   test_schema_correctness_rsub_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1325327Z   test_schema_correctness_rsub_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1325551Z   test_schema_correctness_rsub_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1325811Z   test_schema_correctness_scalar_tensor_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1326069Z   test_schema_correctness_scalar_tensor_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1326334Z   test_schema_correctness_scalar_tensor_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1326604Z   test_schema_correctness_scalar_tensor_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1326872Z   test_schema_correctness_scalar_tensor_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1327189Z   test_schema_correctness_scalar_tensor_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1327450Z   test_schema_correctness_scalar_tensor_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1327704Z   test_schema_correctness_scalar_tensor_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1327935Z   test_schema_correctness_scalar_tensor_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1328186Z   test_schema_correctness_scalar_tensor_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1328436Z   test_schema_correctness_scalar_tensor_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1328745Z   test_schema_correctness_scalar_tensor_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.1328998Z   test_schema_correctness_scalar_tensor_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1329263Z   test_schema_correctness_scatter_add_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.1329520Z   test_schema_correctness_scatter_add_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1329783Z   test_schema_correctness_scatter_add_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.1330044Z   test_schema_correctness_scatter_add_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.1330280Z   test_schema_correctness_scatter_add_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.1330542Z   test_schema_correctness_scatter_add_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.1330788Z   test_schema_correctness_scatter_add_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.1331049Z   test_schema_correctness_scatter_add_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.1331298Z   test_schema_correctness_scatter_add_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1331553Z   test_schema_correctness_scatter_add_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1331807Z   test_schema_correctness_scatter_add_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1332059Z   test_schema_correctness_scatter_add_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1332388Z   test_schema_correctness_scatter_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1332619Z   test_schema_correctness_scatter_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.1332879Z   test_schema_correctness_scatter_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1333145Z   test_schema_correctness_scatter_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T02:28:53.1333395Z   test_schema_correctness_scatter_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1333649Z   test_schema_correctness_scatter_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.1333891Z   test_schema_correctness_scatter_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.1334141Z   test_schema_correctness_scatter_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.1334387Z   test_schema_correctness_scatter_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.1334622Z   test_schema_correctness_scatter_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.1334914Z   test_schema_correctness_scatter_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.032s)
2022-11-23T02:28:53.1335178Z   test_schema_correctness_scatter_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.031s)
2022-11-23T02:28:53.1336804Z   test_schema_correctness_scatter_reduce_amax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1681.)
2022-11-23T02:28:53.1337045Z   return self.op(*args, **kwargs)
2022-11-23T02:28:53.1337212Z ok (0.045s)
2022-11-23T02:28:53.1337669Z   test_schema_correctness_scatter_reduce_amax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1338128Z   test_schema_correctness_scatter_reduce_amax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.1338462Z   test_schema_correctness_scatter_reduce_amax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1338724Z   test_schema_correctness_scatter_reduce_amax_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1338993Z   test_schema_correctness_scatter_reduce_amax_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1339235Z   test_schema_correctness_scatter_reduce_amax_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1339498Z   test_schema_correctness_scatter_reduce_amax_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1339767Z   test_schema_correctness_scatter_reduce_amax_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1340035Z   test_schema_correctness_scatter_reduce_amin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1340309Z   test_schema_correctness_scatter_reduce_amin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1340568Z   test_schema_correctness_scatter_reduce_amin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1340821Z   test_schema_correctness_scatter_reduce_amin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1341086Z   test_schema_correctness_scatter_reduce_amin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1341345Z   test_schema_correctness_scatter_reduce_amin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1341788Z   test_schema_correctness_scatter_reduce_amin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.1342052Z   test_schema_correctness_scatter_reduce_amin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1342313Z   test_schema_correctness_scatter_reduce_amin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.1342580Z   test_schema_correctness_scatter_reduce_mean_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.1342843Z   test_schema_correctness_scatter_reduce_mean_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.1343098Z   test_schema_correctness_scatter_reduce_mean_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.047s)
2022-11-23T02:28:53.1343361Z   test_schema_correctness_scatter_reduce_mean_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.048s)
2022-11-23T02:28:53.1343621Z   test_schema_correctness_scatter_reduce_mean_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.1343876Z   test_schema_correctness_scatter_reduce_mean_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.1344207Z   test_schema_correctness_scatter_reduce_mean_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.1344462Z   test_schema_correctness_scatter_reduce_mean_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.1344716Z   test_schema_correctness_scatter_reduce_mean_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.1344986Z   test_schema_correctness_scatter_reduce_prod_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1345251Z   test_schema_correctness_scatter_reduce_prod_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1345521Z   test_schema_correctness_scatter_reduce_prod_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.046s)
2022-11-23T02:28:53.1345779Z   test_schema_correctness_scatter_reduce_prod_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1346039Z   test_schema_correctness_scatter_reduce_prod_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.1346302Z   test_schema_correctness_scatter_reduce_prod_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.1346558Z   test_schema_correctness_scatter_reduce_prod_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1346802Z   test_schema_correctness_scatter_reduce_prod_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1347063Z   test_schema_correctness_scatter_reduce_prod_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1347335Z   test_schema_correctness_scatter_reduce_sum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1347604Z   test_schema_correctness_scatter_reduce_sum_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1347867Z   test_schema_correctness_scatter_reduce_sum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1348128Z   test_schema_correctness_scatter_reduce_sum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1348379Z   test_schema_correctness_scatter_reduce_sum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1348639Z   test_schema_correctness_scatter_reduce_sum_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.044s)
2022-11-23T02:28:53.1348900Z   test_schema_correctness_scatter_reduce_sum_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.1349155Z   test_schema_correctness_scatter_reduce_sum_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.1349491Z   test_schema_correctness_scatter_reduce_sum_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.043s)
2022-11-23T02:28:53.1349751Z   test_schema_correctness_scatter_reduce_sum_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.045s)
2022-11-23T02:28:53.1351157Z   test_schema_correctness_searchsorted_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: torch.searchsorted(): input value tensor is non-contiguous, this will lower the performance due to extra data copy when converting non-contiguous tensor to contiguous, please use contiguous input value tensor if possible. This message will only appear once per program. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BucketizationUtils.h:35.)
2022-11-23T02:28:53.1351295Z   return self.op(*args, **kwargs)
2022-11-23T02:28:53.1352421Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: torch.searchsorted(): boundary tensor is non-contiguous, this will lower the performance due to extra data copy when converting non-contiguous tensor to contiguous, please use contiguous boundary tensor if possible. This message will only appear once per program. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BucketizationUtils.h:41.)
2022-11-23T02:28:53.1352559Z   return self.op(*args, **kwargs)
2022-11-23T02:28:53.1352660Z ok (0.276s)
2022-11-23T02:28:53.1352924Z   test_schema_correctness_searchsorted_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.275s)
2022-11-23T02:28:53.1353186Z   test_schema_correctness_searchsorted_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.273s)
2022-11-23T02:28:53.1353441Z   test_schema_correctness_searchsorted_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.270s)
2022-11-23T02:28:53.1353699Z   test_schema_correctness_searchsorted_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.270s)
2022-11-23T02:28:53.1353941Z   test_schema_correctness_searchsorted_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.270s)
2022-11-23T02:28:53.1354199Z   test_schema_correctness_searchsorted_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.271s)
2022-11-23T02:28:53.1354458Z   test_schema_correctness_searchsorted_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.271s)
2022-11-23T02:28:53.1354733Z   test_schema_correctness_segment_reduce_lengths_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.177s)
2022-11-23T02:28:53.1355007Z   test_schema_correctness_segment_reduce_lengths_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.178s)
2022-11-23T02:28:53.1355279Z   test_schema_correctness_segment_reduce_lengths_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.176s)
2022-11-23T02:28:53.1355554Z   test_schema_correctness_segment_reduce_lengths_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.176s)
2022-11-23T02:28:53.1355835Z   test_schema_correctness_segment_reduce_offsets_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.173s)
2022-11-23T02:28:53.1356110Z   test_schema_correctness_segment_reduce_offsets_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.174s)
2022-11-23T02:28:53.1356384Z   test_schema_correctness_segment_reduce_offsets_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.171s)
2022-11-23T02:28:53.1356636Z   test_schema_correctness_segment_reduce_offsets_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.178s)
2022-11-23T02:28:53.1356892Z   test_schema_correctness_select_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1357142Z   test_schema_correctness_select_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1357396Z   test_schema_correctness_select_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1357759Z   test_schema_correctness_select_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1358012Z   test_schema_correctness_select_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1358271Z   test_schema_correctness_select_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1358515Z   test_schema_correctness_select_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1358764Z   test_schema_correctness_select_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1358989Z   test_schema_correctness_select_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1359226Z   test_schema_correctness_select_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1359460Z   test_schema_correctness_select_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1359710Z   test_schema_correctness_select_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1359955Z   test_schema_correctness_select_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1360277Z   test_schema_correctness_select_scatter_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1360544Z   test_schema_correctness_select_scatter_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1360804Z   test_schema_correctness_select_scatter_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1361063Z   test_schema_correctness_select_scatter_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1361304Z   test_schema_correctness_select_scatter_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1361564Z   test_schema_correctness_select_scatter_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1361825Z   test_schema_correctness_select_scatter_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1362082Z   test_schema_correctness_select_scatter_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1362339Z   test_schema_correctness_select_scatter_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1362589Z   test_schema_correctness_select_scatter_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1362837Z   test_schema_correctness_sgn_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1363078Z   test_schema_correctness_sgn_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1363330Z   test_schema_correctness_sgn_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1363568Z   test_schema_correctness_sgn_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1363817Z   test_schema_correctness_sgn_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1364071Z   test_schema_correctness_sgn_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1364315Z   test_schema_correctness_sgn_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1364563Z   test_schema_correctness_sgn_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1364806Z   test_schema_correctness_sgn_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1365046Z   test_schema_correctness_sgn_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1365285Z   test_schema_correctness_sgn_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1365606Z   test_schema_correctness_sgn_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1365827Z   test_schema_correctness_sgn_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1366078Z   test_schema_correctness_short_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.1366325Z   test_schema_correctness_short_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.1366579Z   test_schema_correctness_short_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.060s)
2022-11-23T02:28:53.1366832Z   test_schema_correctness_short_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.1367080Z   test_schema_correctness_short_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.1367325Z   test_schema_correctness_short_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.1367564Z   test_schema_correctness_short_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.1367808Z   test_schema_correctness_short_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1368095Z   test_schema_correctness_short_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.058s)
2022-11-23T02:28:53.1368350Z   test_schema_correctness_short_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.1368591Z   test_schema_correctness_short_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.060s)
2022-11-23T02:28:53.1368829Z   test_schema_correctness_short_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.1369084Z   test_schema_correctness_sigmoid_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1369339Z   test_schema_correctness_sigmoid_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1369596Z   test_schema_correctness_sigmoid_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.963s)
2022-11-23T02:28:53.1369851Z   test_schema_correctness_sigmoid_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1370090Z   test_schema_correctness_sigmoid_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.823s)
2022-11-23T02:28:53.1370340Z   test_schema_correctness_sigmoid_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1370580Z   test_schema_correctness_sigmoid_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1370826Z   test_schema_correctness_sigmoid_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1371070Z   test_schema_correctness_sigmoid_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1371316Z   test_schema_correctness_sigmoid_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1371552Z   test_schema_correctness_sigmoid_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1371799Z   test_schema_correctness_sigmoid_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1372045Z   test_schema_correctness_sigmoid_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1372265Z   test_schema_correctness_sign_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1372508Z   test_schema_correctness_sign_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1372757Z   test_schema_correctness_sign_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1373003Z   test_schema_correctness_sign_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1373310Z   test_schema_correctness_sign_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1373552Z   test_schema_correctness_sign_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1373791Z   test_schema_correctness_sign_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1374029Z   test_schema_correctness_sign_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1374271Z   test_schema_correctness_sign_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1374492Z   test_schema_correctness_sign_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1374764Z   test_schema_correctness_signal_windows_cosine_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.075s)
2022-11-23T02:28:53.1375035Z   test_schema_correctness_signal_windows_cosine_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.075s)
2022-11-23T02:28:53.1375304Z   test_schema_correctness_signal_windows_cosine_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.075s)
2022-11-23T02:28:53.1375575Z   test_schema_correctness_signal_windows_cosine_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.075s)
2022-11-23T02:28:53.1375937Z   test_schema_correctness_signal_windows_exponential_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.087s)
2022-11-23T02:28:53.1376874Z   test_schema_correctness_signal_windows_exponential_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.087s)
2022-11-23T02:28:53.1377378Z   test_schema_correctness_signal_windows_exponential_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.087s)
2022-11-23T02:28:53.1377850Z   test_schema_correctness_signal_windows_exponential_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.088s)
2022-11-23T02:28:53.1378322Z   test_schema_correctness_signal_windows_gaussian_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.088s)
2022-11-23T02:28:53.1378617Z   test_schema_correctness_signal_windows_gaussian_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.088s)
2022-11-23T02:28:53.1378887Z   test_schema_correctness_signal_windows_gaussian_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.088s)
2022-11-23T02:28:53.1379155Z   test_schema_correctness_signal_windows_gaussian_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.088s)
2022-11-23T02:28:53.1379431Z   test_schema_correctness_signal_windows_kaiser_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.104s)
2022-11-23T02:28:53.1379698Z   test_schema_correctness_signal_windows_kaiser_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.104s)
2022-11-23T02:28:53.1379958Z   test_schema_correctness_signal_windows_kaiser_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.104s)
2022-11-23T02:28:53.1380225Z   test_schema_correctness_signal_windows_kaiser_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.105s)
2022-11-23T02:28:53.1380480Z   test_schema_correctness_signbit_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1380728Z   test_schema_correctness_signbit_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1380962Z   test_schema_correctness_signbit_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1381214Z   test_schema_correctness_signbit_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1381459Z   test_schema_correctness_signbit_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1381706Z   test_schema_correctness_signbit_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1381945Z   test_schema_correctness_signbit_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1382391Z   test_schema_correctness_signbit_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1382636Z   test_schema_correctness_signbit_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1382882Z   test_schema_correctness_signbit_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1383127Z   test_schema_correctness_sin_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1383345Z   test_schema_correctness_sin_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1383598Z   test_schema_correctness_sin_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1383843Z   test_schema_correctness_sin_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1384089Z   test_schema_correctness_sin_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1384338Z   test_schema_correctness_sin_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1384577Z   test_schema_correctness_sin_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1384882Z   test_schema_correctness_sin_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1385133Z   test_schema_correctness_sin_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1385374Z   test_schema_correctness_sin_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1385594Z   test_schema_correctness_sin_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1385832Z   test_schema_correctness_sin_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1386070Z   test_schema_correctness_sin_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1386322Z   test_schema_correctness_sinc_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.358s)
2022-11-23T02:28:53.1386559Z   test_schema_correctness_sinc_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.396s)
2022-11-23T02:28:53.1386815Z   test_schema_correctness_sinc_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.287s)
2022-11-23T02:28:53.1387067Z   test_schema_correctness_sinc_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.089s)
2022-11-23T02:28:53.1387313Z   test_schema_correctness_sinc_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.339s)
2022-11-23T02:28:53.1387552Z   test_schema_correctness_sinc_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.331s)
2022-11-23T02:28:53.1387774Z   test_schema_correctness_sinc_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.308s)
2022-11-23T02:28:53.1388017Z   test_schema_correctness_sinc_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1388256Z   test_schema_correctness_sinc_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1388488Z   test_schema_correctness_sinc_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1388725Z   test_schema_correctness_sinc_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1388972Z   test_schema_correctness_sinc_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1389219Z   test_schema_correctness_sinh_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1389462Z   test_schema_correctness_sinh_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1389713Z   test_schema_correctness_sinh_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1389946Z   test_schema_correctness_sinh_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1390263Z   test_schema_correctness_sinh_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1390505Z   test_schema_correctness_sinh_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1390747Z   test_schema_correctness_sinh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1390986Z   test_schema_correctness_sinh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1391225Z   test_schema_correctness_sinh_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1391466Z   test_schema_correctness_sinh_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1391701Z   test_schema_correctness_sinh_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1391939Z   test_schema_correctness_sinh_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1392165Z   test_schema_correctness_sinh_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1392415Z   test_schema_correctness_slice_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1392705Z   test_schema_correctness_slice_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1392965Z   test_schema_correctness_slice_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1393214Z   test_schema_correctness_slice_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1393465Z   test_schema_correctness_slice_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1393712Z   test_schema_correctness_slice_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1393965Z   test_schema_correctness_slice_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1394187Z   test_schema_correctness_slice_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1394429Z   test_schema_correctness_slice_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1394667Z   test_schema_correctness_slice_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1394900Z   test_schema_correctness_slice_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1395140Z   test_schema_correctness_slice_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1395384Z   test_schema_correctness_slice_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1395642Z   test_schema_correctness_slice_scatter_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1395903Z   test_schema_correctness_slice_scatter_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1396166Z   test_schema_correctness_slice_scatter_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1396407Z   test_schema_correctness_slice_scatter_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1396671Z   test_schema_correctness_slice_scatter_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1396935Z   test_schema_correctness_slice_scatter_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1397190Z   test_schema_correctness_slice_scatter_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1397445Z   test_schema_correctness_slice_scatter_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1397698Z   test_schema_correctness_slice_scatter_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1398006Z   test_schema_correctness_slice_scatter_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1398261Z   test_schema_correctness_softmax_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1398514Z   test_schema_correctness_softmax_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1398759Z   test_schema_correctness_softmax_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1398992Z   test_schema_correctness_softmax_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1399263Z   test_schema_correctness_softmax_with_dtype_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.1399525Z   test_schema_correctness_softmax_with_dtype_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.1399799Z   test_schema_correctness_softmax_with_dtype_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.084s)
2022-11-23T02:28:53.1400068Z   test_schema_correctness_softmax_with_dtype_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.085s)
2022-11-23T02:28:53.1400389Z   test_schema_correctness_softmax_with_dtype_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.1400655Z   test_schema_correctness_softmax_with_dtype_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.1400906Z   test_schema_correctness_softmax_with_dtype_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1401172Z   test_schema_correctness_softmax_with_dtype_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.1401415Z   test_schema_correctness_softmax_with_dtype_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.1401686Z   test_schema_correctness_softmax_with_dtype_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.1401947Z   test_schema_correctness_softmax_with_dtype_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.1402208Z   test_schema_correctness_softmax_with_dtype_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.084s)
2022-11-23T02:28:53.1402463Z   test_schema_correctness_sort_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1402712Z   test_schema_correctness_sort_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1402946Z   test_schema_correctness_sort_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1403179Z   test_schema_correctness_sort_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1403422Z   test_schema_correctness_sort_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.1403641Z   test_schema_correctness_sort_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.1403871Z   test_schema_correctness_sort_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.1404108Z   test_schema_correctness_sort_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1404353Z   test_schema_correctness_sort_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.1405666Z   test_schema_correctness_sparse_sampled_addmm_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_methods_invocations.py:952: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2022-11-23T02:28:53.1405857Z   .to_sparse_csr()
2022-11-23T02:28:53.1405960Z ok (0.018s)
2022-11-23T02:28:53.1406241Z   test_schema_correctness_sparse_sampled_addmm_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1406522Z   test_schema_correctness_sparse_sampled_addmm_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1406786Z   test_schema_correctness_sparse_sampled_addmm_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1407026Z   test_schema_correctness_special_airy_ai_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.630s)
2022-11-23T02:28:53.1407288Z   test_schema_correctness_special_airy_ai_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.789s)
2022-11-23T02:28:53.1407548Z   test_schema_correctness_special_airy_ai_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.860s)
2022-11-23T02:28:53.1407814Z   test_schema_correctness_special_airy_ai_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1408070Z   test_schema_correctness_special_airy_ai_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1408323Z   test_schema_correctness_special_airy_ai_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1408629Z   test_schema_correctness_special_airy_ai_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1408944Z   test_schema_correctness_special_airy_ai_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1409205Z   test_schema_correctness_special_bessel_j0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.524s)
2022-11-23T02:28:53.1409452Z   test_schema_correctness_special_bessel_j0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.577s)
2022-11-23T02:28:53.1409718Z   test_schema_correctness_special_bessel_j0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.530s)
2022-11-23T02:28:53.1409979Z   test_schema_correctness_special_bessel_j0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1410237Z   test_schema_correctness_special_bessel_j0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1410494Z   test_schema_correctness_special_bessel_j0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1410752Z   test_schema_correctness_special_bessel_j0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1411009Z   test_schema_correctness_special_bessel_j0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1411271Z   test_schema_correctness_special_bessel_j1_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.392s)
2022-11-23T02:28:53.1411527Z   test_schema_correctness_special_bessel_j1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.266s)
2022-11-23T02:28:53.1411802Z   test_schema_correctness_special_bessel_j1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.283s)
2022-11-23T02:28:53.1412039Z   test_schema_correctness_special_bessel_j1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1412297Z   test_schema_correctness_special_bessel_j1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1412553Z   test_schema_correctness_special_bessel_j1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1412814Z   test_schema_correctness_special_bessel_j1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1413066Z   test_schema_correctness_special_bessel_j1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1413325Z   test_schema_correctness_special_bessel_y0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.752s)
2022-11-23T02:28:53.1413672Z   test_schema_correctness_special_bessel_y0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.062s)
2022-11-23T02:28:53.1413935Z   test_schema_correctness_special_bessel_y0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.968s)
2022-11-23T02:28:53.1414187Z   test_schema_correctness_special_bessel_y0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1414428Z   test_schema_correctness_special_bessel_y0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1414680Z   test_schema_correctness_special_bessel_y0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1414940Z   test_schema_correctness_special_bessel_y0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1415193Z   test_schema_correctness_special_bessel_y0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1415447Z   test_schema_correctness_special_bessel_y1_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.618s)
2022-11-23T02:28:53.1415711Z   test_schema_correctness_special_bessel_y1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.689s)
2022-11-23T02:28:53.1415975Z   test_schema_correctness_special_bessel_y1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.671s)
2022-11-23T02:28:53.1417063Z   test_schema_correctness_special_bessel_y1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1417535Z   test_schema_correctness_special_bessel_y1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1417961Z   test_schema_correctness_special_bessel_y1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1418389Z   test_schema_correctness_special_bessel_y1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1418654Z   test_schema_correctness_special_bessel_y1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1418946Z   test_schema_correctness_special_chebyshev_polynomial_t_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (6.210s)
2022-11-23T02:28:53.1419231Z   test_schema_correctness_special_chebyshev_polynomial_t_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.160s)
2022-11-23T02:28:53.1419521Z   test_schema_correctness_special_chebyshev_polynomial_t_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.289s)
2022-11-23T02:28:53.1419805Z   test_schema_correctness_special_chebyshev_polynomial_t_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1420089Z   test_schema_correctness_special_chebyshev_polynomial_t_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1420357Z   test_schema_correctness_special_chebyshev_polynomial_t_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1420637Z   test_schema_correctness_special_chebyshev_polynomial_t_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1420901Z   test_schema_correctness_special_chebyshev_polynomial_t_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1421183Z   test_schema_correctness_special_chebyshev_polynomial_u_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (7.360s)
2022-11-23T02:28:53.1421463Z   test_schema_correctness_special_chebyshev_polynomial_u_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.002s)
2022-11-23T02:28:53.1421794Z   test_schema_correctness_special_chebyshev_polynomial_u_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (2.878s)
2022-11-23T02:28:53.1422074Z   test_schema_correctness_special_chebyshev_polynomial_u_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1422350Z   test_schema_correctness_special_chebyshev_polynomial_u_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1422811Z   test_schema_correctness_special_chebyshev_polynomial_u_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1423088Z   test_schema_correctness_special_chebyshev_polynomial_u_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1423372Z   test_schema_correctness_special_chebyshev_polynomial_u_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1423993Z   test_schema_correctness_special_chebyshev_polynomial_v_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1424502Z   test_schema_correctness_special_chebyshev_polynomial_v_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1425025Z   test_schema_correctness_special_chebyshev_polynomial_v_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1425546Z   test_schema_correctness_special_chebyshev_polynomial_v_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1426110Z   test_schema_correctness_special_chebyshev_polynomial_v_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1426641Z   test_schema_correctness_special_chebyshev_polynomial_v_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1427155Z   test_schema_correctness_special_chebyshev_polynomial_v_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1427662Z   test_schema_correctness_special_chebyshev_polynomial_v_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1428186Z   test_schema_correctness_special_chebyshev_polynomial_w_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1428713Z   test_schema_correctness_special_chebyshev_polynomial_w_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1429236Z   test_schema_correctness_special_chebyshev_polynomial_w_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1429755Z   test_schema_correctness_special_chebyshev_polynomial_w_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1430280Z   test_schema_correctness_special_chebyshev_polynomial_w_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1430788Z   test_schema_correctness_special_chebyshev_polynomial_w_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1431308Z   test_schema_correctness_special_chebyshev_polynomial_w_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1431806Z   test_schema_correctness_special_chebyshev_polynomial_w_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1432069Z   test_schema_correctness_special_entr_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.244s)
2022-11-23T02:28:53.1432383Z   test_schema_correctness_special_entr_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.327s)
2022-11-23T02:28:53.1432646Z   test_schema_correctness_special_entr_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.227s)
2022-11-23T02:28:53.1432908Z   test_schema_correctness_special_entr_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.222s)
2022-11-23T02:28:53.1433168Z   test_schema_correctness_special_entr_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.255s)
2022-11-23T02:28:53.1433423Z   test_schema_correctness_special_entr_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1433677Z   test_schema_correctness_special_entr_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1433924Z   test_schema_correctness_special_entr_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1434178Z   test_schema_correctness_special_entr_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1434416Z   test_schema_correctness_special_entr_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1434669Z   test_schema_correctness_special_erfcx_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.856s)
2022-11-23T02:28:53.1434997Z   test_schema_correctness_special_erfcx_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.974s)
2022-11-23T02:28:53.1435264Z   test_schema_correctness_special_erfcx_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.564s)
2022-11-23T02:28:53.1435518Z   test_schema_correctness_special_erfcx_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1435781Z   test_schema_correctness_special_erfcx_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1436036Z   test_schema_correctness_special_erfcx_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1436297Z   test_schema_correctness_special_erfcx_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1436548Z   test_schema_correctness_special_erfcx_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1436807Z   test_schema_correctness_special_hermite_polynomial_h_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (5.598s)
2022-11-23T02:28:53.1437093Z   test_schema_correctness_special_hermite_polynomial_h_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.812s)
2022-11-23T02:28:53.1437377Z   test_schema_correctness_special_hermite_polynomial_h_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.808s)
2022-11-23T02:28:53.1437656Z   test_schema_correctness_special_hermite_polynomial_h_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1437930Z   test_schema_correctness_special_hermite_polynomial_h_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1438213Z   test_schema_correctness_special_hermite_polynomial_h_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1438492Z   test_schema_correctness_special_hermite_polynomial_h_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1438765Z   test_schema_correctness_special_hermite_polynomial_h_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1439036Z   test_schema_correctness_special_hermite_polynomial_he_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (5.576s)
2022-11-23T02:28:53.1439319Z   test_schema_correctness_special_hermite_polynomial_he_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.792s)
2022-11-23T02:28:53.1439582Z   test_schema_correctness_special_hermite_polynomial_he_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.790s)
2022-11-23T02:28:53.1439861Z   test_schema_correctness_special_hermite_polynomial_he_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1440245Z   test_schema_correctness_special_hermite_polynomial_he_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1440526Z   test_schema_correctness_special_hermite_polynomial_he_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1440805Z   test_schema_correctness_special_hermite_polynomial_he_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1441080Z   test_schema_correctness_special_hermite_polynomial_he_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1441339Z   test_schema_correctness_special_i0e_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.324s)
2022-11-23T02:28:53.1441591Z   test_schema_correctness_special_i0e_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.378s)
2022-11-23T02:28:53.1441849Z   test_schema_correctness_special_i0e_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.306s)
2022-11-23T02:28:53.1442094Z   test_schema_correctness_special_i0e_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.302s)
2022-11-23T02:28:53.1442344Z   test_schema_correctness_special_i0e_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.317s)
2022-11-23T02:28:53.1442656Z   test_schema_correctness_special_i0e_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1442908Z   test_schema_correctness_special_i0e_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1443161Z   test_schema_correctness_special_i0e_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1443413Z   test_schema_correctness_special_i0e_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1443664Z   test_schema_correctness_special_i0e_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1443918Z   test_schema_correctness_special_i1_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.386s)
2022-11-23T02:28:53.1444172Z   test_schema_correctness_special_i1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.316s)
2022-11-23T02:28:53.1444406Z   test_schema_correctness_special_i1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.368s)
2022-11-23T02:28:53.1444665Z   test_schema_correctness_special_i1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1444921Z   test_schema_correctness_special_i1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1445171Z   test_schema_correctness_special_i1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1445417Z   test_schema_correctness_special_i1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1445671Z   test_schema_correctness_special_i1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1445926Z   test_schema_correctness_special_i1e_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.362s)
2022-11-23T02:28:53.1446181Z   test_schema_correctness_special_i1e_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.270s)
2022-11-23T02:28:53.1446440Z   test_schema_correctness_special_i1e_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.326s)
2022-11-23T02:28:53.1446673Z   test_schema_correctness_special_i1e_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1446923Z   test_schema_correctness_special_i1e_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1447176Z   test_schema_correctness_special_i1e_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1447429Z   test_schema_correctness_special_i1e_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1447677Z   test_schema_correctness_special_i1e_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1448053Z   test_schema_correctness_special_laguerre_polynomial_l_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (5.850s)
2022-11-23T02:28:53.1448342Z   test_schema_correctness_special_laguerre_polynomial_l_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.958s)
2022-11-23T02:28:53.1448633Z   test_schema_correctness_special_laguerre_polynomial_l_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (1.992s)
2022-11-23T02:28:53.1448919Z   test_schema_correctness_special_laguerre_polynomial_l_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1449204Z   test_schema_correctness_special_laguerre_polynomial_l_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1449465Z   test_schema_correctness_special_laguerre_polynomial_l_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1449752Z   test_schema_correctness_special_laguerre_polynomial_l_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1450029Z   test_schema_correctness_special_laguerre_polynomial_l_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1450667Z   test_schema_correctness_special_legendre_polynomial_p_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1451197Z   test_schema_correctness_special_legendre_polynomial_p_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1451716Z   test_schema_correctness_special_legendre_polynomial_p_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1452232Z   test_schema_correctness_special_legendre_polynomial_p_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1452751Z   test_schema_correctness_special_legendre_polynomial_p_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1453273Z   test_schema_correctness_special_legendre_polynomial_p_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1453789Z   test_schema_correctness_special_legendre_polynomial_p_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1454301Z   test_schema_correctness_special_legendre_polynomial_p_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1454564Z   test_schema_correctness_special_log_ndtr_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.387s)
2022-11-23T02:28:53.1454813Z   test_schema_correctness_special_log_ndtr_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.327s)
2022-11-23T02:28:53.1455078Z   test_schema_correctness_special_log_ndtr_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.551s)
2022-11-23T02:28:53.1455343Z   test_schema_correctness_special_log_ndtr_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1455603Z   test_schema_correctness_special_log_ndtr_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1455863Z   test_schema_correctness_special_log_ndtr_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1456556Z   test_schema_correctness_special_log_ndtr_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1457025Z   test_schema_correctness_special_log_ndtr_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1457748Z   test_schema_correctness_special_modified_bessel_i0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.390s)
2022-11-23T02:28:53.1458092Z   test_schema_correctness_special_modified_bessel_i0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.315s)
2022-11-23T02:28:53.1458357Z   test_schema_correctness_special_modified_bessel_i0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.390s)
2022-11-23T02:28:53.1458631Z   test_schema_correctness_special_modified_bessel_i0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1458902Z   test_schema_correctness_special_modified_bessel_i0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1459177Z   test_schema_correctness_special_modified_bessel_i0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1459449Z   test_schema_correctness_special_modified_bessel_i0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1459728Z   test_schema_correctness_special_modified_bessel_i0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1459999Z   test_schema_correctness_special_modified_bessel_i1_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.393s)
2022-11-23T02:28:53.1460358Z   test_schema_correctness_special_modified_bessel_i1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.321s)
2022-11-23T02:28:53.1460642Z   test_schema_correctness_special_modified_bessel_i1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.394s)
2022-11-23T02:28:53.1460908Z   test_schema_correctness_special_modified_bessel_i1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1461158Z   test_schema_correctness_special_modified_bessel_i1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1461420Z   test_schema_correctness_special_modified_bessel_i1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1461695Z   test_schema_correctness_special_modified_bessel_i1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1461965Z   test_schema_correctness_special_modified_bessel_i1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1462235Z   test_schema_correctness_special_modified_bessel_k0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.483s)
2022-11-23T02:28:53.1462508Z   test_schema_correctness_special_modified_bessel_k0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.484s)
2022-11-23T02:28:53.1462784Z   test_schema_correctness_special_modified_bessel_k0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.612s)
2022-11-23T02:28:53.1463054Z   test_schema_correctness_special_modified_bessel_k0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1463327Z   test_schema_correctness_special_modified_bessel_k0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1463587Z   test_schema_correctness_special_modified_bessel_k0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1463839Z   test_schema_correctness_special_modified_bessel_k0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1464108Z   test_schema_correctness_special_modified_bessel_k0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1464374Z   test_schema_correctness_special_modified_bessel_k1_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.467s)
2022-11-23T02:28:53.1464643Z   test_schema_correctness_special_modified_bessel_k1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.452s)
2022-11-23T02:28:53.1464915Z   test_schema_correctness_special_modified_bessel_k1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.627s)
2022-11-23T02:28:53.1465242Z   test_schema_correctness_special_modified_bessel_k1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1465507Z   test_schema_correctness_special_modified_bessel_k1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1465773Z   test_schema_correctness_special_modified_bessel_k1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1466042Z   test_schema_correctness_special_modified_bessel_k1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1466291Z   test_schema_correctness_special_modified_bessel_k1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1466554Z   test_schema_correctness_special_ndtr_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1466812Z   test_schema_correctness_special_ndtr_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1467078Z   test_schema_correctness_special_ndtr_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1467336Z   test_schema_correctness_special_ndtr_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1467635Z   test_schema_correctness_special_ndtr_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1467896Z   test_schema_correctness_special_ndtr_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1468150Z   test_schema_correctness_special_ndtr_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1468404Z   test_schema_correctness_special_ndtr_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1468655Z   test_schema_correctness_special_ndtr_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1468889Z   test_schema_correctness_special_ndtr_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1469143Z   test_schema_correctness_special_ndtri_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.418s)
2022-11-23T02:28:53.1469405Z   test_schema_correctness_special_ndtri_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.371s)
2022-11-23T02:28:53.1469668Z   test_schema_correctness_special_ndtri_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.478s)
2022-11-23T02:28:53.1469924Z   test_schema_correctness_special_ndtri_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1470180Z   test_schema_correctness_special_ndtri_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1470430Z   test_schema_correctness_special_ndtri_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1470679Z   test_schema_correctness_special_ndtri_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1470938Z   test_schema_correctness_special_ndtri_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1471218Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1471517Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1471812Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1472108Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1472404Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1472688Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1473043Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1473345Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1473636Z   test_schema_correctness_special_polygamma_special_polygamma_n_0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1473920Z   test_schema_correctness_special_scaled_modified_bessel_k0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.460s)
2022-11-23T02:28:53.1474186Z   test_schema_correctness_special_scaled_modified_bessel_k0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.439s)
2022-11-23T02:28:53.1474470Z   test_schema_correctness_special_scaled_modified_bessel_k0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.608s)
2022-11-23T02:28:53.1474754Z   test_schema_correctness_special_scaled_modified_bessel_k0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1475032Z   test_schema_correctness_special_scaled_modified_bessel_k0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1475362Z   test_schema_correctness_special_scaled_modified_bessel_k0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1475648Z   test_schema_correctness_special_scaled_modified_bessel_k0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1475930Z   test_schema_correctness_special_scaled_modified_bessel_k0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1476205Z   test_schema_correctness_special_scaled_modified_bessel_k1_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.469s)
2022-11-23T02:28:53.1476490Z   test_schema_correctness_special_scaled_modified_bessel_k1_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.452s)
2022-11-23T02:28:53.1476776Z   test_schema_correctness_special_scaled_modified_bessel_k1_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.628s)
2022-11-23T02:28:53.1477038Z   test_schema_correctness_special_scaled_modified_bessel_k1_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1477321Z   test_schema_correctness_special_scaled_modified_bessel_k1_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1477596Z   test_schema_correctness_special_scaled_modified_bessel_k1_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1477875Z   test_schema_correctness_special_scaled_modified_bessel_k1_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1478157Z   test_schema_correctness_special_scaled_modified_bessel_k1_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1478820Z   test_schema_correctness_special_shifted_chebyshev_polynomial_t_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1479369Z   test_schema_correctness_special_shifted_chebyshev_polynomial_t_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1479912Z   test_schema_correctness_special_shifted_chebyshev_polynomial_t_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1480446Z   test_schema_correctness_special_shifted_chebyshev_polynomial_t_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1480968Z   test_schema_correctness_special_shifted_chebyshev_polynomial_t_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1481555Z   test_schema_correctness_special_shifted_chebyshev_polynomial_t_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1482085Z   test_schema_correctness_special_shifted_chebyshev_polynomial_t_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1482628Z   test_schema_correctness_special_shifted_chebyshev_polynomial_t_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1483138Z   test_schema_correctness_special_shifted_chebyshev_polynomial_u_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1483682Z   test_schema_correctness_special_shifted_chebyshev_polynomial_u_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1484260Z   test_schema_correctness_special_shifted_chebyshev_polynomial_u_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1484796Z   test_schema_correctness_special_shifted_chebyshev_polynomial_u_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1485335Z   test_schema_correctness_special_shifted_chebyshev_polynomial_u_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1485856Z   test_schema_correctness_special_shifted_chebyshev_polynomial_u_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1486382Z   test_schema_correctness_special_shifted_chebyshev_polynomial_u_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1486930Z   test_schema_correctness_special_shifted_chebyshev_polynomial_u_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1487464Z   test_schema_correctness_special_shifted_chebyshev_polynomial_v_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1487998Z   test_schema_correctness_special_shifted_chebyshev_polynomial_v_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1488544Z   test_schema_correctness_special_shifted_chebyshev_polynomial_v_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1489075Z   test_schema_correctness_special_shifted_chebyshev_polynomial_v_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1489604Z   test_schema_correctness_special_shifted_chebyshev_polynomial_v_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T02:28:53.1490134Z   test_schema_correctness_special_shifted_chebyshev_polynomial_v_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1490663Z   test_schema_correctness_special_shifted_chebyshev_polynomial_v_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1491257Z   test_schema_correctness_special_shifted_chebyshev_polynomial_v_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1491792Z   test_schema_correctness_special_shifted_chebyshev_polynomial_w_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1492330Z   test_schema_correctness_special_shifted_chebyshev_polynomial_w_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1492859Z   test_schema_correctness_special_shifted_chebyshev_polynomial_w_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1493389Z   test_schema_correctness_special_shifted_chebyshev_polynomial_w_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1493921Z   test_schema_correctness_special_shifted_chebyshev_polynomial_w_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1494508Z   test_schema_correctness_special_shifted_chebyshev_polynomial_w_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1495054Z   test_schema_correctness_special_shifted_chebyshev_polynomial_w_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1495596Z   test_schema_correctness_special_shifted_chebyshev_polynomial_w_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T02:28:53.1495888Z   test_schema_correctness_special_spherical_bessel_j0_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.406s)
2022-11-23T02:28:53.1496723Z   test_schema_correctness_special_spherical_bessel_j0_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.341s)
2022-11-23T02:28:53.1497227Z   test_schema_correctness_special_spherical_bessel_j0_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.333s)
2022-11-23T02:28:53.1497704Z   test_schema_correctness_special_spherical_bessel_j0_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1498108Z   test_schema_correctness_special_spherical_bessel_j0_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1498384Z   test_schema_correctness_special_spherical_bessel_j0_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1498662Z   test_schema_correctness_special_spherical_bessel_j0_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1498944Z   test_schema_correctness_special_spherical_bessel_j0_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1499207Z   test_schema_correctness_special_xlog1py_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1499473Z   test_schema_correctness_special_xlog1py_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1499742Z   test_schema_correctness_special_xlog1py_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1500006Z   test_schema_correctness_special_xlog1py_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1500269Z   test_schema_correctness_special_xlog1py_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1500510Z   test_schema_correctness_special_xlog1py_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1500994Z   test_schema_correctness_special_xlog1py_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1501246Z   test_schema_correctness_special_xlog1py_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1501507Z   test_schema_correctness_special_xlog1py_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1501761Z   test_schema_correctness_special_xlog1py_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1502016Z   test_schema_correctness_special_zeta_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (7.555s)
2022-11-23T02:28:53.1502275Z   test_schema_correctness_special_zeta_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (3.529s)
2022-11-23T02:28:53.1502536Z   test_schema_correctness_special_zeta_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (4.410s)
2022-11-23T02:28:53.1502797Z   test_schema_correctness_special_zeta_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1503028Z   test_schema_correctness_special_zeta_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1503284Z   test_schema_correctness_special_zeta_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1503619Z   test_schema_correctness_special_zeta_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1503879Z   test_schema_correctness_special_zeta_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1504132Z   test_schema_correctness_split_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1504378Z   test_schema_correctness_split_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1504629Z   test_schema_correctness_split_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1504888Z   test_schema_correctness_split_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1505138Z   test_schema_correctness_split_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1505371Z   test_schema_correctness_split_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1505622Z   test_schema_correctness_split_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1505861Z   test_schema_correctness_split_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1506100Z   test_schema_correctness_split_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1506337Z   test_schema_correctness_split_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1506569Z   test_schema_correctness_split_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1506817Z   test_schema_correctness_split_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1507061Z   test_schema_correctness_split_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1507326Z   test_schema_correctness_split_list_args_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1507567Z   test_schema_correctness_split_list_args_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1507837Z   test_schema_correctness_split_list_args_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1508099Z   test_schema_correctness_split_list_args_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1508357Z   test_schema_correctness_split_list_args_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1508686Z   test_schema_correctness_split_list_args_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1508945Z   test_schema_correctness_split_list_args_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1509206Z   test_schema_correctness_split_list_args_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1509464Z   test_schema_correctness_split_list_args_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1509714Z   test_schema_correctness_split_list_args_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1509971Z   test_schema_correctness_split_list_args_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1510201Z   test_schema_correctness_split_list_args_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1510463Z   test_schema_correctness_split_with_sizes_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1510714Z   test_schema_correctness_split_with_sizes_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1510978Z   test_schema_correctness_split_with_sizes_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1511290Z   test_schema_correctness_split_with_sizes_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1511565Z   test_schema_correctness_split_with_sizes_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1511826Z   test_schema_correctness_split_with_sizes_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1512088Z   test_schema_correctness_split_with_sizes_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1512351Z   test_schema_correctness_split_with_sizes_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1512593Z   test_schema_correctness_split_with_sizes_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1512852Z   test_schema_correctness_split_with_sizes_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1513109Z   test_schema_correctness_split_with_sizes_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1513369Z   test_schema_correctness_split_with_sizes_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1513623Z   test_schema_correctness_split_with_sizes_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1513876Z   test_schema_correctness_sqrt_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1514113Z   test_schema_correctness_sqrt_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1514373Z   test_schema_correctness_sqrt_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1514624Z   test_schema_correctness_sqrt_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1514848Z   test_schema_correctness_sqrt_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1515105Z   test_schema_correctness_sqrt_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1515345Z   test_schema_correctness_sqrt_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1515580Z   test_schema_correctness_sqrt_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1515822Z   test_schema_correctness_sqrt_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1516059Z   test_schema_correctness_sqrt_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1516364Z   test_schema_correctness_sqrt_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1516603Z   test_schema_correctness_sqrt_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1516843Z   test_schema_correctness_sqrt_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1517081Z   test_schema_correctness_square_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1517330Z   test_schema_correctness_square_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1517586Z   test_schema_correctness_square_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1517843Z   test_schema_correctness_square_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1518093Z   test_schema_correctness_square_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1518343Z   test_schema_correctness_square_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1518598Z   test_schema_correctness_square_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1518930Z   test_schema_correctness_square_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1519174Z   test_schema_correctness_square_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1519388Z   test_schema_correctness_square_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1519630Z   test_schema_correctness_square_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1519873Z   test_schema_correctness_square_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1520122Z   test_schema_correctness_squeeze_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1520370Z   test_schema_correctness_squeeze_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1520627Z   test_schema_correctness_squeeze_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1520888Z   test_schema_correctness_squeeze_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1521142Z   test_schema_correctness_squeeze_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1521391Z   test_schema_correctness_squeeze_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1521624Z   test_schema_correctness_squeeze_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1521945Z   test_schema_correctness_squeeze_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1522203Z   test_schema_correctness_squeeze_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1522448Z   test_schema_correctness_squeeze_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1522684Z   test_schema_correctness_squeeze_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1522934Z   test_schema_correctness_squeeze_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1523174Z   test_schema_correctness_squeeze_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1523425Z   test_schema_correctness_stack_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1523671Z   test_schema_correctness_stack_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1523904Z   test_schema_correctness_stack_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1524249Z   test_schema_correctness_stack_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1524505Z   test_schema_correctness_stack_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1524753Z   test_schema_correctness_stack_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1525001Z   test_schema_correctness_stack_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1525239Z   test_schema_correctness_stack_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1525485Z   test_schema_correctness_stack_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1525722Z   test_schema_correctness_stack_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1525970Z   test_schema_correctness_stack_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1526199Z   test_schema_correctness_stack_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1526439Z   test_schema_correctness_stack_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1526764Z   test_schema_correctness_std_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1527021Z   test_schema_correctness_std_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1527277Z   test_schema_correctness_std_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1527538Z   test_schema_correctness_std_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1527743Z   test_schema_correctness_std_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1527976Z   test_schema_correctness_std_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1528216Z   test_schema_correctness_std_mean_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1528481Z   test_schema_correctness_std_mean_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1528743Z   test_schema_correctness_std_mean_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1528997Z   test_schema_correctness_std_mean_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1529247Z   test_schema_correctness_std_mean_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1529501Z   test_schema_correctness_std_mean_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1530456Z   test_schema_correctness_stft_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/functional.py:641: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
2022-11-23T02:28:53.1530829Z Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/SpectralOps.cpp:861.)
2022-11-23T02:28:53.1531145Z   return _VF.stft(input, n_fft, hop_length, win_length, window,  # type: ignore[attr-defined]
2022-11-23T02:28:53.1531250Z ok (0.064s)
2022-11-23T02:28:53.1531482Z   test_schema_correctness_stft_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.061s)
2022-11-23T02:28:53.1531728Z   test_schema_correctness_stft_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.1531968Z   test_schema_correctness_stft_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.059s)
2022-11-23T02:28:53.1532205Z   test_schema_correctness_sub_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1532521Z   test_schema_correctness_sub_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1532769Z   test_schema_correctness_sub_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1533012Z   test_schema_correctness_sub_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1533254Z   test_schema_correctness_sub_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1533494Z   test_schema_correctness_sub_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1533719Z   test_schema_correctness_sub_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1533960Z   test_schema_correctness_sub_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1534202Z   test_schema_correctness_sub_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1534442Z   test_schema_correctness_sub_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1534687Z   test_schema_correctness_sub_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1534983Z   test_schema_correctness_sub_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1535249Z   test_schema_correctness_sum_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1535487Z   test_schema_correctness_sum_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1535742Z   test_schema_correctness_sum_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T02:28:53.1535972Z   test_schema_correctness_sum_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1536813Z   test_schema_correctness_sum_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1537267Z   test_schema_correctness_sum_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1537674Z   test_schema_correctness_sum_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1538088Z   test_schema_correctness_sum_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1538336Z   test_schema_correctness_sum_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1538571Z   test_schema_correctness_sum_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1538807Z   test_schema_correctness_sum_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1539045Z   test_schema_correctness_sum_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1539267Z   test_schema_correctness_sum_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1539528Z   test_schema_correctness_sum_to_size_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1539775Z   test_schema_correctness_sum_to_size_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1540036Z   test_schema_correctness_sum_to_size_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.019s)
2022-11-23T02:28:53.1540295Z   test_schema_correctness_sum_to_size_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1540550Z   test_schema_correctness_sum_to_size_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1540802Z   test_schema_correctness_sum_to_size_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1541054Z   test_schema_correctness_sum_to_size_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1541487Z   test_schema_correctness_sum_to_size_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1541718Z   test_schema_correctness_sum_to_size_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1541968Z   test_schema_correctness_sum_to_size_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1542218Z   test_schema_correctness_sum_to_size_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1542466Z   test_schema_correctness_sum_to_size_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1542735Z   test_schema_correctness_svd_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.1543001Z   test_schema_correctness_svd_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.000s)
2022-11-23T02:28:53.1543247Z   test_schema_correctness_svd_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.465s)
2022-11-23T02:28:53.1543483Z   test_schema_correctness_svd_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.507s)
2022-11-23T02:28:53.1543742Z   test_schema_correctness_svd_lowrank_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (8.018s)
2022-11-23T02:28:53.1544049Z   test_schema_correctness_svd_lowrank_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (8.004s)
2022-11-23T02:28:53.1544901Z   test_schema_correctness_symeig_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2022-11-23T02:28:53.1545196Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2022-11-23T02:28:53.1545341Z L, _ = torch.symeig(A, upper=upper)
2022-11-23T02:28:53.1545463Z should be replaced with
2022-11-23T02:28:53.1545708Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2022-11-23T02:28:53.1545802Z and
2022-11-23T02:28:53.1545947Z L, V = torch.symeig(A, eigenvectors=True)
2022-11-23T02:28:53.1546046Z should be replaced with
2022-11-23T02:28:53.1546512Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2909.)
2022-11-23T02:28:53.1546644Z   return self.op(*args, **kwargs)
2022-11-23T02:28:53.1546749Z ok (0.033s)
2022-11-23T02:28:53.1547005Z   test_schema_correctness_symeig_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1547259Z   test_schema_correctness_symeig_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.020s)
2022-11-23T02:28:53.1547510Z   test_schema_correctness_symeig_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1547757Z   test_schema_correctness_t_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1547994Z   test_schema_correctness_t_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1548223Z   test_schema_correctness_t_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1548472Z   test_schema_correctness_t_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1548714Z   test_schema_correctness_t_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1548955Z   test_schema_correctness_t_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1549195Z   test_schema_correctness_t_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1549434Z   test_schema_correctness_t_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1549744Z   test_schema_correctness_t_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1549983Z   test_schema_correctness_t_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1550200Z   test_schema_correctness_t_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1550474Z   test_schema_correctness_t_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1550733Z   test_schema_correctness_take_along_dim_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1550991Z   test_schema_correctness_take_along_dim_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1551261Z   test_schema_correctness_take_along_dim_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1551526Z   test_schema_correctness_take_along_dim_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1551792Z   test_schema_correctness_take_along_dim_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1552054Z   test_schema_correctness_take_along_dim_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1552435Z   test_schema_correctness_take_along_dim_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1552679Z   test_schema_correctness_take_along_dim_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1552937Z   test_schema_correctness_take_along_dim_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1553182Z   test_schema_correctness_take_along_dim_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1553436Z   test_schema_correctness_take_along_dim_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1553686Z   test_schema_correctness_take_along_dim_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1553936Z   test_schema_correctness_take_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1554181Z   test_schema_correctness_take_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1554434Z   test_schema_correctness_take_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1554681Z   test_schema_correctness_take_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1554906Z   test_schema_correctness_take_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1555150Z   test_schema_correctness_take_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1555385Z   test_schema_correctness_take_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1555629Z   test_schema_correctness_take_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1555863Z   test_schema_correctness_take_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1556088Z   test_schema_correctness_take_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1556331Z   test_schema_correctness_take_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1556577Z   test_schema_correctness_take_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1556823Z   test_schema_correctness_tan_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1557044Z   test_schema_correctness_tan_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1557296Z   test_schema_correctness_tan_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1557646Z   test_schema_correctness_tan_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1557891Z   test_schema_correctness_tan_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1558131Z   test_schema_correctness_tan_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1558372Z   test_schema_correctness_tan_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1558606Z   test_schema_correctness_tan_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1558843Z   test_schema_correctness_tan_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1559082Z   test_schema_correctness_tan_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1559302Z   test_schema_correctness_tan_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1559546Z   test_schema_correctness_tan_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1559781Z   test_schema_correctness_tan_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1560028Z   test_schema_correctness_tanh_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1560315Z   test_schema_correctness_tanh_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1560571Z   test_schema_correctness_tanh_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1560820Z   test_schema_correctness_tanh_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1561071Z   test_schema_correctness_tanh_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1561315Z   test_schema_correctness_tanh_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1561538Z   test_schema_correctness_tanh_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1561776Z   test_schema_correctness_tanh_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1562018Z   test_schema_correctness_tanh_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1562253Z   test_schema_correctness_tanh_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1562492Z   test_schema_correctness_tanh_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1562725Z   test_schema_correctness_tanh_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1562968Z   test_schema_correctness_tanh_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1563227Z   test_schema_correctness_tensor_split_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.1563489Z   test_schema_correctness_tensor_split_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.1563736Z   test_schema_correctness_tensor_split_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1563996Z   test_schema_correctness_tensor_split_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1564254Z   test_schema_correctness_tensor_split_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1564516Z   test_schema_correctness_tensor_split_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1564773Z   test_schema_correctness_tensor_split_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.1565025Z   test_schema_correctness_tensor_split_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1565341Z   test_schema_correctness_tensor_split_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.1565593Z   test_schema_correctness_tensor_split_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T02:28:53.1565849Z   test_schema_correctness_tensor_split_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T02:28:53.1566083Z   test_schema_correctness_tensor_split_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.033s)
2022-11-23T02:28:53.1566332Z   test_schema_correctness_tensordot_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1566592Z   test_schema_correctness_tensordot_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.037s)
2022-11-23T02:28:53.1566852Z   test_schema_correctness_tensordot_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.039s)
2022-11-23T02:28:53.1567104Z   test_schema_correctness_tensordot_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1567354Z   test_schema_correctness_tensordot_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1567608Z   test_schema_correctness_tensordot_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.036s)
2022-11-23T02:28:53.1567915Z   test_schema_correctness_tile_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.066s)
2022-11-23T02:28:53.1568161Z   test_schema_correctness_tile_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T02:28:53.1568392Z   test_schema_correctness_tile_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.069s)
2022-11-23T02:28:53.1568640Z   test_schema_correctness_tile_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.070s)
2022-11-23T02:28:53.1568883Z   test_schema_correctness_tile_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.067s)
2022-11-23T02:28:53.1569122Z   test_schema_correctness_tile_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.066s)
2022-11-23T02:28:53.1569362Z   test_schema_correctness_tile_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.066s)
2022-11-23T02:28:53.1569596Z   test_schema_correctness_tile_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T02:28:53.1569941Z   test_schema_correctness_tile_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T02:28:53.1570173Z   test_schema_correctness_tile_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T02:28:53.1570408Z   test_schema_correctness_tile_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.066s)
2022-11-23T02:28:53.1570634Z   test_schema_correctness_tile_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.065s)
2022-11-23T02:28:53.1570877Z   test_schema_correctness_to_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.567s)
2022-11-23T02:28:53.1571113Z   test_schema_correctness_to_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.566s)
2022-11-23T02:28:53.1571366Z   test_schema_correctness_to_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.569s)
2022-11-23T02:28:53.1571615Z   test_schema_correctness_to_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.569s)
2022-11-23T02:28:53.1571857Z   test_schema_correctness_to_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.566s)
2022-11-23T02:28:53.1572095Z   test_schema_correctness_to_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.566s)
2022-11-23T02:28:53.1572341Z   test_schema_correctness_to_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.425s)
2022-11-23T02:28:53.1572580Z   test_schema_correctness_to_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.566s)
2022-11-23T02:28:53.1572799Z   test_schema_correctness_to_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.568s)
2022-11-23T02:28:53.1573034Z   test_schema_correctness_to_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.566s)
2022-11-23T02:28:53.1573350Z   test_schema_correctness_to_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.565s)
2022-11-23T02:28:53.1573595Z   test_schema_correctness_to_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.566s)
2022-11-23T02:28:53.1573861Z   test_schema_correctness_to_sparse_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1574112Z   test_schema_correctness_to_sparse_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1574373Z   test_schema_correctness_to_sparse_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1574636Z   test_schema_correctness_to_sparse_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1574888Z   test_schema_correctness_to_sparse_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1575127Z   test_schema_correctness_to_sparse_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1575383Z   test_schema_correctness_to_sparse_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1575636Z   test_schema_correctness_to_sparse_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1575941Z   test_schema_correctness_to_sparse_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1576789Z   test_schema_correctness_to_sparse_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1577235Z   test_schema_correctness_to_sparse_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1577665Z   test_schema_correctness_to_sparse_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1578083Z   test_schema_correctness_topk_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1578346Z   test_schema_correctness_topk_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1578577Z   test_schema_correctness_topk_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1578817Z   test_schema_correctness_topk_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1579065Z   test_schema_correctness_topk_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1579306Z   test_schema_correctness_topk_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1579535Z   test_schema_correctness_topk_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1579772Z   test_schema_correctness_topk_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1580015Z   test_schema_correctness_topk_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1580264Z   test_schema_correctness_trace_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1580488Z   test_schema_correctness_trace_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1580744Z   test_schema_correctness_trace_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1580994Z   test_schema_correctness_trace_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1581246Z   test_schema_correctness_trace_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1581497Z   test_schema_correctness_trace_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1581747Z   test_schema_correctness_trace_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1581987Z   test_schema_correctness_trace_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1582423Z   test_schema_correctness_trace_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1582656Z   test_schema_correctness_trace_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1582871Z   test_schema_correctness_trace_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1583109Z   test_schema_correctness_trace_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1583341Z   test_schema_correctness_trace_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1583598Z   test_schema_correctness_transpose_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1583846Z   test_schema_correctness_transpose_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1584109Z   test_schema_correctness_transpose_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1584366Z   test_schema_correctness_transpose_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1584627Z   test_schema_correctness_transpose_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1584968Z   test_schema_correctness_transpose_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1585213Z   test_schema_correctness_transpose_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1585467Z   test_schema_correctness_transpose_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1585717Z   test_schema_correctness_transpose_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1585958Z   test_schema_correctness_transpose_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1586215Z   test_schema_correctness_transpose_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1586462Z   test_schema_correctness_transpose_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1586712Z   test_schema_correctness_transpose_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1586971Z   test_schema_correctness_trapezoid_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.075s)
2022-11-23T02:28:53.1587236Z   test_schema_correctness_trapezoid_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.081s)
2022-11-23T02:28:53.1587475Z   test_schema_correctness_trapezoid_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.082s)
2022-11-23T02:28:53.1587728Z   test_schema_correctness_trapezoid_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.075s)
2022-11-23T02:28:53.1587981Z   test_schema_correctness_trapezoid_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.075s)
2022-11-23T02:28:53.1588235Z   test_schema_correctness_trapezoid_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.076s)
2022-11-23T02:28:53.1588487Z   test_schema_correctness_trapezoid_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.075s)
2022-11-23T02:28:53.1588741Z   test_schema_correctness_trapezoid_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.075s)
2022-11-23T02:28:53.1588991Z   test_schema_correctness_trapezoid_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.075s)
2022-11-23T02:28:53.1589239Z   test_schema_correctness_trapezoid_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.075s)
2022-11-23T02:28:53.1589486Z   test_schema_correctness_trapezoid_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.075s)
2022-11-23T02:28:53.1589714Z   test_schema_correctness_trapz_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.075s)
2022-11-23T02:28:53.1590031Z   test_schema_correctness_trapz_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.081s)
2022-11-23T02:28:53.1590276Z   test_schema_correctness_trapz_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.083s)
2022-11-23T02:28:53.1590525Z   test_schema_correctness_trapz_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.076s)
2022-11-23T02:28:53.1590770Z   test_schema_correctness_trapz_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.075s)
2022-11-23T02:28:53.1591017Z   test_schema_correctness_trapz_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.075s)
2022-11-23T02:28:53.1591258Z   test_schema_correctness_trapz_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.074s)
2022-11-23T02:28:53.1591492Z   test_schema_correctness_trapz_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.074s)
2022-11-23T02:28:53.1591728Z   test_schema_correctness_trapz_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.074s)
2022-11-23T02:28:53.1591957Z   test_schema_correctness_trapz_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.076s)
2022-11-23T02:28:53.1592198Z   test_schema_correctness_trapz_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.074s)
2022-11-23T02:28:53.1593195Z   test_schema_correctness_triangular_solve_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release.
2022-11-23T02:28:53.1593453Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs.
2022-11-23T02:28:53.1593603Z X = torch.triangular_solve(B, A).solution
2022-11-23T02:28:53.1593724Z should be replaced with
2022-11-23T02:28:53.1594037Z X = torch.linalg.solve_triangular(A, B). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2224.)
2022-11-23T02:28:53.1594172Z   return self.op(*args, **kwargs)
2022-11-23T02:28:53.1594274Z ok (0.040s)
2022-11-23T02:28:53.1594526Z   test_schema_correctness_triangular_solve_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.1594789Z   test_schema_correctness_triangular_solve_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1595059Z   test_schema_correctness_triangular_solve_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.1595303Z   test_schema_correctness_tril_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1595552Z   test_schema_correctness_tril_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1595804Z   test_schema_correctness_tril_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1596063Z   test_schema_correctness_tril_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1596315Z   test_schema_correctness_tril_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1596555Z   test_schema_correctness_tril_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1596773Z   test_schema_correctness_tril_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1597016Z   test_schema_correctness_tril_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1597248Z   test_schema_correctness_tril_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1597485Z   test_schema_correctness_tril_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1597725Z   test_schema_correctness_tril_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1597968Z   test_schema_correctness_tril_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1598289Z   test_schema_correctness_tril_indices_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.1598543Z   test_schema_correctness_tril_indices_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.1598790Z   test_schema_correctness_triu_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1599022Z   test_schema_correctness_triu_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1599270Z   test_schema_correctness_triu_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1599520Z   test_schema_correctness_triu_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1599767Z   test_schema_correctness_triu_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1600012Z   test_schema_correctness_triu_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1600256Z   test_schema_correctness_triu_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1600497Z   test_schema_correctness_triu_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1600782Z   test_schema_correctness_triu_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1601025Z   test_schema_correctness_triu_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1601245Z   test_schema_correctness_triu_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1601485Z   test_schema_correctness_triu_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1601744Z   test_schema_correctness_triu_indices_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.035s)
2022-11-23T02:28:53.1602006Z   test_schema_correctness_triu_indices_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.034s)
2022-11-23T02:28:53.1602268Z   test_schema_correctness_true_divide_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1602527Z   test_schema_correctness_true_divide_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1602794Z   test_schema_correctness_true_divide_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1603055Z   test_schema_correctness_true_divide_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1603319Z   test_schema_correctness_true_divide_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.018s)
2022-11-23T02:28:53.1603561Z   test_schema_correctness_true_divide_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1603818Z   test_schema_correctness_true_divide_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.017s)
2022-11-23T02:28:53.1604077Z   test_schema_correctness_true_divide_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1604328Z   test_schema_correctness_true_divide_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1604591Z   test_schema_correctness_true_divide_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1604843Z   test_schema_correctness_true_divide_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1605098Z   test_schema_correctness_true_divide_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1605348Z   test_schema_correctness_true_divide_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.016s)
2022-11-23T02:28:53.1605603Z   test_schema_correctness_trunc_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1605904Z   test_schema_correctness_trunc_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1606145Z   test_schema_correctness_trunc_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1606392Z   test_schema_correctness_trunc_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1606637Z   test_schema_correctness_trunc_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1606868Z   test_schema_correctness_trunc_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1607102Z   test_schema_correctness_trunc_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1607343Z   test_schema_correctness_trunc_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1607596Z   test_schema_correctness_trunc_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1607850Z   test_schema_correctness_unbind_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1608208Z   test_schema_correctness_unbind_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1608462Z   test_schema_correctness_unbind_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1608788Z   test_schema_correctness_unbind_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1609041Z   test_schema_correctness_unbind_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1609292Z   test_schema_correctness_unbind_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1609541Z   test_schema_correctness_unbind_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1609792Z   test_schema_correctness_unbind_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1610046Z   test_schema_correctness_unbind_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1610292Z   test_schema_correctness_unbind_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1610512Z   test_schema_correctness_unbind_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1610762Z   test_schema_correctness_unbind_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1611008Z   test_schema_correctness_unbind_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1611260Z   test_schema_correctness_unflatten_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1611504Z   test_schema_correctness_unflatten_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1611766Z   test_schema_correctness_unflatten_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1612027Z   test_schema_correctness_unflatten_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1612281Z   test_schema_correctness_unflatten_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1612535Z   test_schema_correctness_unflatten_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1612764Z   test_schema_correctness_unflatten_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1613013Z   test_schema_correctness_unflatten_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1613264Z   test_schema_correctness_unflatten_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1613515Z   test_schema_correctness_unflatten_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1613882Z   test_schema_correctness_unflatten_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1614134Z   test_schema_correctness_unflatten_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1614387Z   test_schema_correctness_unflatten_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1614651Z   test_schema_correctness_unfold_copy_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1614909Z   test_schema_correctness_unfold_copy_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1615151Z   test_schema_correctness_unfold_copy_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.1615414Z   test_schema_correctness_unfold_copy_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1615671Z   test_schema_correctness_unfold_copy_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.1615934Z   test_schema_correctness_unfold_copy_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1616785Z   test_schema_correctness_unfold_copy_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.1617449Z   test_schema_correctness_unfold_copy_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1617901Z   test_schema_correctness_unfold_copy_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1618246Z   test_schema_correctness_unfold_copy_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1618502Z   test_schema_correctness_unfold_copy_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1618734Z   test_schema_correctness_unfold_copy_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1618982Z   test_schema_correctness_unfold_copy_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1619242Z   test_schema_correctness_unfold_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1619490Z   test_schema_correctness_unfold_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1619745Z   test_schema_correctness_unfold_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.1619999Z   test_schema_correctness_unfold_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1620247Z   test_schema_correctness_unfold_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.1620494Z   test_schema_correctness_unfold_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1620744Z   test_schema_correctness_unfold_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1620975Z   test_schema_correctness_unfold_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1621221Z   test_schema_correctness_unfold_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.024s)
2022-11-23T02:28:53.1621455Z   test_schema_correctness_unfold_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1621701Z   test_schema_correctness_unfold_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1621986Z   test_schema_correctness_unfold_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1622230Z   test_schema_correctness_unfold_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1622482Z   test_schema_correctness_uniform_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1622739Z   test_schema_correctness_uniform_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1623105Z   test_schema_correctness_uniform_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1623336Z   test_schema_correctness_uniform_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1623591Z   test_schema_correctness_uniform_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1623839Z   test_schema_correctness_uniform_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.006s)
2022-11-23T02:28:53.1624103Z   test_schema_correctness_unique_consecutive_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.330s)
2022-11-23T02:28:53.1624373Z   test_schema_correctness_unique_consecutive_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.345s)
2022-11-23T02:28:53.1624632Z   test_schema_correctness_unique_consecutive_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.342s)
2022-11-23T02:28:53.1624898Z   test_schema_correctness_unique_consecutive_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.344s)
2022-11-23T02:28:53.1625168Z   test_schema_correctness_unique_consecutive_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.339s)
2022-11-23T02:28:53.1625435Z   test_schema_correctness_unique_consecutive_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.339s)
2022-11-23T02:28:53.1625725Z   test_schema_correctness_unique_consecutive_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.339s)
2022-11-23T02:28:53.1625991Z   test_schema_correctness_unique_consecutive_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.337s)
2022-11-23T02:28:53.1626252Z   test_schema_correctness_unique_consecutive_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.335s)
2022-11-23T02:28:53.1626494Z   test_schema_correctness_unique_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.758s)
2022-11-23T02:28:53.1626741Z   test_schema_correctness_unique_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.775s)
2022-11-23T02:28:53.1626995Z   test_schema_correctness_unique_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.774s)
2022-11-23T02:28:53.1627239Z   test_schema_correctness_unique_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.786s)
2022-11-23T02:28:53.1627489Z   test_schema_correctness_unique_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.766s)
2022-11-23T02:28:53.1627738Z   test_schema_correctness_unique_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.761s)
2022-11-23T02:28:53.1627956Z   test_schema_correctness_unique_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.767s)
2022-11-23T02:28:53.1628197Z   test_schema_correctness_unique_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.752s)
2022-11-23T02:28:53.1628432Z   test_schema_correctness_unique_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.752s)
2022-11-23T02:28:53.1628687Z   test_schema_correctness_unsqueeze_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1628940Z   test_schema_correctness_unsqueeze_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1629195Z   test_schema_correctness_unsqueeze_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1629457Z   test_schema_correctness_unsqueeze_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1629713Z   test_schema_correctness_unsqueeze_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1630049Z   test_schema_correctness_unsqueeze_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1630280Z   test_schema_correctness_unsqueeze_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1630536Z   test_schema_correctness_unsqueeze_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1630855Z   test_schema_correctness_unsqueeze_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1631105Z   test_schema_correctness_unsqueeze_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1631356Z   test_schema_correctness_unsqueeze_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1631608Z   test_schema_correctness_unsqueeze_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.011s)
2022-11-23T02:28:53.1631854Z   test_schema_correctness_unsqueeze_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1632100Z   test_schema_correctness_var_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1632348Z   test_schema_correctness_var_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1632578Z   test_schema_correctness_var_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1632823Z   test_schema_correctness_var_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1633060Z   test_schema_correctness_var_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1633337Z   test_schema_correctness_var_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1633593Z   test_schema_correctness_var_mean_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1633846Z   test_schema_correctness_var_mean_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1634101Z   test_schema_correctness_var_mean_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1634347Z   test_schema_correctness_var_mean_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1634598Z   test_schema_correctness_var_mean_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1634832Z   test_schema_correctness_var_mean_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1635075Z   test_schema_correctness_vdot_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1635352Z   test_schema_correctness_vdot_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.1635619Z   test_schema_correctness_vdot_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... skip: Skipped! (0.001s)
2022-11-23T02:28:53.1635863Z   test_schema_correctness_vdot_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1636100Z   test_schema_correctness_vdot_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.005s)
2022-11-23T02:28:53.1636344Z   test_schema_correctness_vdot_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1636606Z   test_schema_correctness_view_as_complex_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1636872Z   test_schema_correctness_view_as_complex_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1637116Z   test_schema_correctness_view_as_complex_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1637368Z   test_schema_correctness_view_as_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1637619Z   test_schema_correctness_view_as_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1637874Z   test_schema_correctness_view_as_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1638124Z   test_schema_correctness_view_as_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.003s)
2022-11-23T02:28:53.1638376Z   test_schema_correctness_view_as_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1638687Z   test_schema_correctness_view_as_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1638940Z   test_schema_correctness_view_as_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1639191Z   test_schema_correctness_view_as_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1639418Z   test_schema_correctness_view_as_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1639656Z   test_schema_correctness_view_as_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1639897Z   test_schema_correctness_view_as_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1640139Z   test_schema_correctness_view_as_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1640386Z   test_schema_correctness_view_as_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1640648Z   test_schema_correctness_view_as_real_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1640910Z   test_schema_correctness_view_as_real_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.004s)
2022-11-23T02:28:53.1641214Z   test_schema_correctness_view_copy_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1641466Z   test_schema_correctness_view_copy_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1641699Z   test_schema_correctness_view_copy_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1641950Z   test_schema_correctness_view_copy_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.023s)
2022-11-23T02:28:53.1642204Z   test_schema_correctness_view_copy_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1642455Z   test_schema_correctness_view_copy_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1642706Z   test_schema_correctness_view_copy_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1642952Z   test_schema_correctness_view_copy_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.022s)
2022-11-23T02:28:53.1643203Z   test_schema_correctness_view_copy_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1643453Z   test_schema_correctness_view_copy_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.021s)
2022-11-23T02:28:53.1643702Z   test_schema_correctness_view_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.1643926Z   test_schema_correctness_view_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.1644171Z   test_schema_correctness_view_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.1644431Z   test_schema_correctness_view_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1644675Z   test_schema_correctness_view_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.1644922Z   test_schema_correctness_view_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.1645160Z   test_schema_correctness_view_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.1645394Z   test_schema_correctness_view_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.1645636Z   test_schema_correctness_view_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.1645868Z   test_schema_correctness_view_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.026s)
2022-11-23T02:28:53.1646090Z   test_schema_correctness_view_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.1646401Z   test_schema_correctness_view_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.1646641Z   test_schema_correctness_view_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.025s)
2022-11-23T02:28:53.1646893Z   test_schema_correctness_vsplit_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1647137Z   test_schema_correctness_vsplit_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1647395Z   test_schema_correctness_vsplit_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1647652Z   test_schema_correctness_vsplit_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1647911Z   test_schema_correctness_vsplit_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1648161Z   test_schema_correctness_vsplit_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1648400Z   test_schema_correctness_vsplit_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1648650Z   test_schema_correctness_vsplit_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1648978Z   test_schema_correctness_vsplit_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1649226Z   test_schema_correctness_vsplit_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1649463Z   test_schema_correctness_vsplit_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1649704Z   test_schema_correctness_vsplit_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1649980Z   test_schema_correctness_vsplit_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.010s)
2022-11-23T02:28:53.1650237Z   test_schema_correctness_vstack_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1650481Z   test_schema_correctness_vstack_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1650720Z   test_schema_correctness_vstack_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1650978Z   test_schema_correctness_vstack_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1651231Z   test_schema_correctness_vstack_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1651482Z   test_schema_correctness_vstack_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1651731Z   test_schema_correctness_vstack_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1651974Z   test_schema_correctness_vstack_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.009s)
2022-11-23T02:28:53.1652222Z   test_schema_correctness_vstack_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1652464Z   test_schema_correctness_vstack_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1652698Z   test_schema_correctness_vstack_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1652928Z   test_schema_correctness_vstack_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1653164Z   test_schema_correctness_vstack_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1653409Z   test_schema_correctness_where_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1653651Z   test_schema_correctness_where_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1653907Z   test_schema_correctness_where_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.015s)
2022-11-23T02:28:53.1654247Z   test_schema_correctness_where_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1654498Z   test_schema_correctness_where_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1654753Z   test_schema_correctness_where_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1654976Z   test_schema_correctness_where_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1655219Z   test_schema_correctness_where_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1655463Z   test_schema_correctness_where_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1655700Z   test_schema_correctness_where_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1655945Z   test_schema_correctness_where_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1656759Z   test_schema_correctness_where_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1657199Z   test_schema_correctness_where_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1657863Z   test_schema_correctness_xlogy_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1658187Z   test_schema_correctness_xlogy_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1658419Z   test_schema_correctness_xlogy_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1658666Z   test_schema_correctness_xlogy_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1658904Z   test_schema_correctness_xlogy_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1659147Z   test_schema_correctness_xlogy_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1659391Z   test_schema_correctness_xlogy_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1659631Z   test_schema_correctness_xlogy_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1659878Z   test_schema_correctness_xlogy_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1660118Z   test_schema_correctness_xlogy_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.012s)
2022-11-23T02:28:53.1660364Z   test_schema_correctness_zero__cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1660586Z   test_schema_correctness_zero__cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1660841Z   test_schema_correctness_zero__cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1661125Z   test_schema_correctness_zero__cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1661373Z   test_schema_correctness_zero__cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1661577Z   test_schema_correctness_zero__cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1661815Z   test_schema_correctness_zero__cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1662058Z   test_schema_correctness_zero__cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1662289Z   test_schema_correctness_zero__cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1662520Z   test_schema_correctness_zero__cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1662739Z   test_schema_correctness_zero__cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.007s)
2022-11-23T02:28:53.1663093Z   test_schema_correctness_zero__cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.008s)
2022-11-23T02:28:53.1663338Z   test_schema_correctness_zeros_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1663576Z   test_schema_correctness_zeros_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1663832Z   test_schema_correctness_zeros_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1664084Z   test_schema_correctness_zeros_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1664334Z   test_schema_correctness_zeros_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1664578Z   test_schema_correctness_zeros_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1664816Z   test_schema_correctness_zeros_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1665043Z   test_schema_correctness_zeros_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.014s)
2022-11-23T02:28:53.1665284Z   test_schema_correctness_zeros_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1665524Z   test_schema_correctness_zeros_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1665811Z   test_schema_correctness_zeros_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1666054Z   test_schema_correctness_zeros_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1666291Z   test_schema_correctness_zeros_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.013s)
2022-11-23T02:28:53.1666541Z   test_schema_correctness_zeros_like_cuda_bfloat16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1666789Z   test_schema_correctness_zeros_like_cuda_bool (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.1667057Z   test_schema_correctness_zeros_like_cuda_complex128 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1667296Z   test_schema_correctness_zeros_like_cuda_complex32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.002s)
2022-11-23T02:28:53.1667556Z   test_schema_correctness_zeros_like_cuda_complex64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1667809Z   test_schema_correctness_zeros_like_cuda_float16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1668061Z   test_schema_correctness_zeros_like_cuda_float32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1668313Z   test_schema_correctness_zeros_like_cuda_float64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1668564Z   test_schema_correctness_zeros_like_cuda_int16 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1668810Z   test_schema_correctness_zeros_like_cuda_int32 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.051s)
2022-11-23T02:28:53.1669063Z   test_schema_correctness_zeros_like_cuda_int64 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1669310Z   test_schema_correctness_zeros_like_cuda_int8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1669543Z   test_schema_correctness_zeros_like_cuda_uint8 (__main__.TestSchemaCheckModeOpInfoCUDA) ... ok (0.050s)
2022-11-23T02:28:53.1669575Z 
2022-11-23T02:28:53.1669959Z ----------------------------------------------------------------------
2022-11-23T02:28:53.1670083Z Ran 5375 tests in 1007.195s
2022-11-23T02:28:53.1670102Z 
2022-11-23T02:28:53.1670216Z OK (skipped=108)
2022-11-23T02:28:53.1670235Z 
2022-11-23T02:28:53.1670359Z Generating XML reports...
2022-11-23T02:28:53.1670767Z Generated XML report: test-reports/python-unittest/test_schema_check/TEST-TestSchemaCheck-20221123021203.xml
2022-11-23T02:28:53.1671216Z Generated XML report: test-reports/python-unittest/test_schema_check/TEST-TestSchemaCheckModeOpInfoCUDA-20221123021203.xml
2022-11-23T02:28:53.1671326Z 
2022-11-23T02:28:53.1671981Z ##[endgroup]
2022-11-23T02:28:53.1672355Z FINISHED PRINTING LOG FILE of test_schema_check (/var/lib/jenkins/workspace/test/test-reports/test_schema_check_460uj7jy)
2022-11-23T02:28:53.1672395Z 
2022-11-23T02:28:56.3434405Z Ignoring disabled issues:  []
2022-11-23T02:28:56.3811317Z Running dynamo/test_optimizers ... [2022-11-23 02:28:56.380406]
2022-11-23T02:28:56.3812483Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_optimizers.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:28:56.380874]
2022-11-23T02:29:03.6243188Z 
2022-11-23T02:29:03.6244473Z Expand the folded group to see the log file of dynamo/test_optimizers
2022-11-23T02:29:03.6246374Z ##[group]PRINTING LOG FILE of dynamo/test_optimizers (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_optimizers_p631h2rh)
2022-11-23T02:29:03.6246950Z 
2022-11-23T02:29:03.6247153Z Running tests...
2022-11-23T02:29:03.6247963Z ----------------------------------------------------------------------
2022-11-23T02:29:03.6248491Z Test results will be stored in test-reports/python-unittest/dynamo.test_optimizers
2022-11-23T02:29:03.6248929Z   test_optimizing_over_tensor_with_requires_grad (__main__.End2EndTests) ... ok (2.320s)
2022-11-23T02:29:03.6249709Z frames [('total', 10), ('ok', 9)]
2022-11-23T02:29:03.6250919Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 3), ('Tensor.item', 2), ('inline with __closure__', 1)]
2022-11-23T02:29:03.6251756Z unimplemented [('generator', 1), ('Tensor.item', 1)]
2022-11-23T02:29:03.6253190Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 2), ('Tensor.backward', 1), ('inline with __closure__', 1)]
2022-11-23T02:29:03.6253820Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:29:03.6254278Z   test_adadelta (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:29:03.6254653Z inline_call []
2022-11-23T02:29:03.6255040Z stats [('calls_captured', 54), ('fusions_possible', 53), ('unique_graphs', 1)]
2022-11-23T02:29:03.6255352Z ok (0.145s)
2022-11-23T02:29:03.6255714Z   test_adagrad (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:29:03.6255957Z inline_call []
2022-11-23T02:29:03.6256762Z stats [('calls_captured', 46), ('fusions_possible', 45), ('unique_graphs', 1)]
2022-11-23T02:29:03.6257048Z ok (0.124s)
2022-11-23T02:29:03.6257415Z   test_adam (__main__.OptimizerTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T02:29:03.6258017Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 2)]
2022-11-23T02:29:03.6258362Z unimplemented []
2022-11-23T02:29:03.6258977Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 1)]
2022-11-23T02:29:03.6259399Z stats [('calls_captured', 80), ('fusions_possible', 79), ('unique_graphs', 1)]
2022-11-23T02:29:03.6259708Z ok (0.216s)
2022-11-23T02:29:03.6260194Z   test_adamax (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:29:03.6260394Z inline_call []
2022-11-23T02:29:03.6260797Z stats [('calls_captured', 78), ('fusions_possible', 77), ('unique_graphs', 1)]
2022-11-23T02:29:03.6261109Z ok (0.179s)
2022-11-23T02:29:03.6261480Z   test_adamw (__main__.OptimizerTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T02:29:03.6262045Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 2)]
2022-11-23T02:29:03.6262640Z unimplemented []
2022-11-23T02:29:03.6263035Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 1)]
2022-11-23T02:29:03.6263548Z stats [('calls_captured', 80), ('fusions_possible', 79), ('unique_graphs', 1)]
2022-11-23T02:29:03.6264101Z ok (0.206s)
2022-11-23T02:29:03.6264493Z   test_nadam (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:29:03.6264782Z inline_call []
2022-11-23T02:29:03.6265191Z stats [('calls_captured', 162), ('fusions_possible', 161), ('unique_graphs', 1)]
2022-11-23T02:29:03.6265497Z ok (0.251s)
2022-11-23T02:29:03.6265870Z   test_radam (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:29:03.6266264Z inline_call []
2022-11-23T02:29:03.6266583Z stats [('calls_captured', 86), ('fusions_possible', 85), ('unique_graphs', 1)]
2022-11-23T02:29:03.6266877Z ok (0.173s)
2022-11-23T02:29:03.6267265Z   test_rmsprop (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:29:03.6267652Z inline_call []
2022-11-23T02:29:03.6267979Z stats [('calls_captured', 26), ('fusions_possible', 25), ('unique_graphs', 1)]
2022-11-23T02:29:03.6268270Z ok (0.120s)
2022-11-23T02:29:03.6268760Z   test_rprop (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:29:03.6268973Z inline_call []
2022-11-23T02:29:03.6269360Z stats [('calls_captured', 82), ('fusions_possible', 81), ('unique_graphs', 1)]
2022-11-23T02:29:03.6269666Z ok (0.162s)
2022-11-23T02:29:03.6270087Z   test_sgd (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:29:03.6270333Z inline_call []
2022-11-23T02:29:03.6270877Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T02:29:03.6271297Z ok (0.076s)
2022-11-23T02:29:03.6271350Z 
2022-11-23T02:29:03.6271681Z ----------------------------------------------------------------------
2022-11-23T02:29:03.6271938Z Ran 11 tests in 3.975s
2022-11-23T02:29:03.6272098Z 
2022-11-23T02:29:03.6272189Z OK
2022-11-23T02:29:03.6272411Z 
2022-11-23T02:29:03.6272532Z Generating XML reports...
2022-11-23T02:29:03.6272989Z Generated XML report: test-reports/python-unittest/dynamo.test_optimizers/TEST-End2EndTests-20221123022858.xml
2022-11-23T02:29:03.6273746Z Generated XML report: test-reports/python-unittest/dynamo.test_optimizers/TEST-OptimizerTests-20221123022858.xml
2022-11-23T02:29:03.6274007Z 
2022-11-23T02:29:03.6274503Z ##[endgroup]
2022-11-23T02:29:03.6275042Z FINISHED PRINTING LOG FILE of dynamo/test_optimizers (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_optimizers_p631h2rh)
2022-11-23T02:29:03.6275362Z 
2022-11-23T02:29:06.9759597Z Ignoring disabled issues:  []
2022-11-23T02:29:07.0135396Z Running dynamo/test_export ... [2022-11-23 02:29:07.012781]
2022-11-23T02:29:07.0137682Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_export.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:29:07.013251]
2022-11-23T02:29:14.3569196Z 
2022-11-23T02:29:14.3570195Z Expand the folded group to see the log file of dynamo/test_export
2022-11-23T02:29:14.3571382Z ##[group]PRINTING LOG FILE of dynamo/test_export (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_i24yik97)
2022-11-23T02:29:14.3571740Z 
2022-11-23T02:29:14.3571802Z Running tests...
2022-11-23T02:29:14.3572451Z ----------------------------------------------------------------------
2022-11-23T02:29:14.3573107Z Test results will be stored in test-reports/python-unittest/dynamo.test_export
2022-11-23T02:29:14.3573635Z   test_dict_return (__main__.ExportTests) ... ok (2.000s)
2022-11-23T02:29:14.3574628Z   test_dict_return_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:29:14.3575735Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:29:14.3576734Z ok (0.031s)
2022-11-23T02:29:14.3577682Z   test_dupes (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3577930Z ok (0.016s)
2022-11-23T02:29:14.3578411Z   test_dupes_2 (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3578742Z ok (0.016s)
2022-11-23T02:29:14.3579244Z   test_dupes_2_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3580151Z ok (0.021s)
2022-11-23T02:29:14.3580690Z   test_dupes_and_bypass (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3581359Z ok (0.018s)
2022-11-23T02:29:14.3582002Z   test_dupes_and_bypass_reorder_with_non_tensor_arg (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3582502Z ok (0.138s)
2022-11-23T02:29:14.3583238Z   test_dupes_and_bypass_reorder_with_non_tensor_arg_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3583739Z ok (0.024s)
2022-11-23T02:29:14.3584355Z   test_dupes_and_bypass_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3599931Z ok (0.024s)
2022-11-23T02:29:14.3600687Z   test_dupes_and_bypass_with_non_tensor_arg (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3601088Z ok (0.019s)
2022-11-23T02:29:14.3602033Z   test_dupes_and_bypass_with_non_tensor_arg_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3602494Z ok (0.024s)
2022-11-23T02:29:14.3603062Z   test_dupes_and_bypass_with_non_tensor_output (__main__.ExportTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T02:29:14.3603488Z ok (0.025s)
2022-11-23T02:29:14.3604103Z   test_dupes_and_bypass_with_non_tensor_output_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T02:29:14.3604542Z ok (0.024s)
2022-11-23T02:29:14.3605063Z   test_dupes_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3605480Z ok (0.021s)
2022-11-23T02:29:14.3605790Z   test_export (__main__.ExportTests) ... inline_call []
2022-11-23T02:29:14.3606263Z stats [('calls_captured', 80), ('fusions_possible', 78), ('unique_graphs', 2)]
2022-11-23T02:29:14.3606593Z ok (0.218s)
2022-11-23T02:29:14.3607168Z   test_export_compare_optimize_with_make_fx (__main__.ExportTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T02:29:14.3607585Z ok (0.072s)
2022-11-23T02:29:14.3608094Z   test_export_decomp (__main__.ExportTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T02:29:14.3608483Z ok (0.037s)
2022-11-23T02:29:14.3608830Z   test_export_decomp_asserts_bad_args (__main__.ExportTests) ... ok (0.001s)
2022-11-23T02:29:14.3609257Z   test_export_decomp_asserts_bad_args_mode (__main__.ExportTests) ... ok (0.001s)
2022-11-23T02:29:14.3609898Z   test_export_graph_bypass (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3610306Z ok (0.022s)
2022-11-23T02:29:14.3610857Z   test_export_graph_bypass_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3611273Z ok (0.028s)
2022-11-23T02:29:14.3611846Z   test_export_graph_with_complex_reorder (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:29:14.3612264Z ok (0.029s)
2022-11-23T02:29:14.3612843Z   test_export_graph_with_complex_reorder_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:29:14.3613283Z ok (0.037s)
2022-11-23T02:29:14.3613823Z   test_export_graph_with_list (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3614200Z ok (0.024s)
2022-11-23T02:29:14.3614881Z   test_export_graph_with_list_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3615301Z ok (0.030s)
2022-11-23T02:29:14.3615825Z   test_export_meta_val (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:29:14.3616853Z ok (0.116s)
2022-11-23T02:29:14.3617401Z   test_export_mismatched_out (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3617785Z ok (0.018s)
2022-11-23T02:29:14.3618288Z   test_export_mismatched_out_2 (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3618665Z ok (0.017s)
2022-11-23T02:29:14.3619262Z   test_export_mismatched_out_2_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3619662Z ok (0.023s)
2022-11-23T02:29:14.3620179Z   test_export_mismatched_out_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3620577Z ok (0.022s)
2022-11-23T02:29:14.3621007Z   test_export_shape_control_flow_1 (__main__.ExportTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:29:14.3621661Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T02:29:14.3621999Z ok (0.045s)
2022-11-23T02:29:14.3622319Z   test_export_with_aten_graph (__main__.ExportTests) ... inline_call []
2022-11-23T02:29:14.3622793Z stats [('calls_captured', 80), ('fusions_possible', 78), ('unique_graphs', 2)]
2022-11-23T02:29:14.3623112Z ok (0.267s)
2022-11-23T02:29:14.3623649Z   test_export_with_constant_dict_values (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:29:14.3624033Z ok (0.019s)
2022-11-23T02:29:14.3624550Z   test_export_with_constant_free_function (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:29:14.3624943Z ok (0.027s)
2022-11-23T02:29:14.3625515Z   test_export_with_constant_free_function_and_class_method (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:29:14.3625901Z ok (0.023s)
2022-11-23T02:29:14.3626484Z   test_export_with_constant_free_function_and_class_method_multiarg (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:29:14.3626901Z ok (0.027s)
2022-11-23T02:29:14.3627523Z   test_export_with_constant_free_function_and_class_method_multiarg_diff (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:29:14.3627934Z ok (0.015s)
2022-11-23T02:29:14.3628457Z   test_export_with_constant_list_nonzero (__main__.ExportTests) ... stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T02:29:14.3628849Z ok (0.034s)
2022-11-23T02:29:14.3629381Z   test_export_with_constant_list_nonzero_free_function (__main__.ExportTests) ... stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T02:29:14.3629783Z ok (0.033s)
2022-11-23T02:29:14.3630324Z   test_export_with_constant_method_on_module (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:29:14.3630717Z ok (0.023s)
2022-11-23T02:29:14.3631262Z   test_export_with_constant_method_on_module_invoke_twice (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:29:14.3631675Z ok (0.027s)
2022-11-23T02:29:14.3632214Z   test_export_with_constant_none_control_flow (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:29:14.3632580Z ok (0.013s)
2022-11-23T02:29:14.3633137Z   test_export_with_constant_none_control_flow_free_func (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:29:14.3633647Z ok (0.011s)
2022-11-23T02:29:14.3634198Z   test_export_with_constant_not_none_control_flow (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:29:14.3634573Z ok (0.015s)
2022-11-23T02:29:14.3635136Z   test_export_with_constant_not_none_control_flow_free_func (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:29:14.3635544Z ok (0.014s)
2022-11-23T02:29:14.3636073Z   test_export_with_constant_not_none_control_flow_pos (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:29:14.3636472Z ok (0.014s)
2022-11-23T02:29:14.3637005Z   test_export_with_constant_not_return_const (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:29:14.3637397Z ok (0.012s)
2022-11-23T02:29:14.3637909Z   test_export_with_constant_tuple_nonzero (__main__.ExportTests) ... stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T02:29:14.3638304Z ok (0.034s)
2022-11-23T02:29:14.3638908Z   test_export_with_module_layer (__main__.ExportTests) ... stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)]
2022-11-23T02:29:14.3639245Z ok (0.037s)
2022-11-23T02:29:14.3639765Z   test_export_with_stack_trace (__main__.ExportTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T02:29:14.3640136Z ok (0.053s)
2022-11-23T02:29:14.3640436Z   test_func_return (__main__.ExportTests) ... inline_call []
2022-11-23T02:29:14.3640884Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T02:29:14.3641199Z ok (0.027s)
2022-11-23T02:29:14.3641521Z   test_func_return_with_aten_graph (__main__.ExportTests) ... inline_call []
2022-11-23T02:29:14.3641992Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T02:29:14.3642315Z ok (0.036s)
2022-11-23T02:29:14.3642807Z   test_list_unpack (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3643148Z ok (0.025s)
2022-11-23T02:29:14.3643684Z   test_list_unpack_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:29:14.3644067Z ok (0.030s)
2022-11-23T02:29:14.3644617Z   test_zeroes_in_and_out_different_shape_on_test (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:29:14.3645049Z ok (0.024s)
2022-11-23T02:29:14.3645675Z   test_zeroes_in_and_out_different_shape_on_test_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T02:29:14.3646093Z ok (0.032s)
2022-11-23T02:29:14.3646619Z   test_zeroes_in_new_shape_scalar_out (__main__.ExportTests) ... stats [('calls_captured', 16), ('fusions_possible', 14), ('unique_graphs', 2)]
2022-11-23T02:29:14.3647008Z ok (0.039s)
2022-11-23T02:29:14.3647550Z   test_zeroes_in_new_shape_scalar_out_permute (__main__.ExportTests) ... stats [('calls_captured', 22), ('fusions_possible', 20), ('unique_graphs', 2)]
2022-11-23T02:29:14.3647957Z ok (0.046s)
2022-11-23T02:29:14.3648519Z   test_zeroes_in_new_shape_scalar_out_permute_dupe_and_bypass (__main__.ExportTests) ... stats [('calls_captured', 22), ('fusions_possible', 20), ('unique_graphs', 2)]
2022-11-23T02:29:14.3648949Z ok (0.046s)
2022-11-23T02:29:14.3649104Z 
2022-11-23T02:29:14.3649382Z ----------------------------------------------------------------------
2022-11-23T02:29:14.3649701Z Ran 59 tests in 4.154s
2022-11-23T02:29:14.3649871Z 
2022-11-23T02:29:14.3649966Z OK
2022-11-23T02:29:14.3650104Z 
2022-11-23T02:29:14.3650234Z Generating XML reports...
2022-11-23T02:29:14.3650903Z Generated XML report: test-reports/python-unittest/dynamo.test_export/TEST-ExportTests-20221123022909.xml
2022-11-23T02:29:14.3651199Z 
2022-11-23T02:29:14.3651753Z ##[endgroup]
2022-11-23T02:29:14.3652299Z FINISHED PRINTING LOG FILE of dynamo/test_export (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_i24yik97)
2022-11-23T02:29:14.3652606Z 
2022-11-23T02:29:17.6601911Z Ignoring disabled issues:  []
2022-11-23T02:29:17.6977105Z Running dynamo/test_modules ... [2022-11-23 02:29:17.696951]
2022-11-23T02:29:17.6978151Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_modules.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:29:17.697419]
2022-11-23T02:29:24.9517023Z 
2022-11-23T02:29:24.9518472Z Expand the folded group to see the log file of dynamo/test_modules
2022-11-23T02:29:24.9520510Z ##[group]PRINTING LOG FILE of dynamo/test_modules (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_modules__6zoksex)
2022-11-23T02:29:24.9521143Z 
2022-11-23T02:29:24.9521382Z Running tests...
2022-11-23T02:29:24.9522322Z ----------------------------------------------------------------------
2022-11-23T02:29:24.9523372Z Test results will be stored in test-reports/python-unittest/dynamo.test_modules
2022-11-23T02:29:24.9524211Z   test_basicmodule1 (__main__.NNModuleTests) ... ok (2.141s)
2022-11-23T02:29:24.9525128Z   test_basicmodule2 (__main__.NNModuleTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:29:24.9525706Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:29:24.9526033Z ok (0.025s)
2022-11-23T02:29:24.9526357Z   test_call_fn_with_non_const_inputs_safe (__main__.NNModuleTests) ... inline_call []
2022-11-23T02:29:24.9526864Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:29:24.9527187Z ok (0.026s)
2022-11-23T02:29:24.9527656Z   test_cfgmod (__main__.NNModuleTests) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T02:29:24.9528029Z ok (0.048s)
2022-11-23T02:29:24.9528518Z   test_children (__main__.NNModuleTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:29:24.9528856Z ok (0.036s)
2022-11-23T02:29:24.9529453Z   test_constloop (__main__.NNModuleTests) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T02:29:24.9529799Z ok (0.048s)
2022-11-23T02:29:24.9530107Z   test_densenet (__main__.NNModuleTests) ... inline_call []
2022-11-23T02:29:24.9530571Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T02:29:24.9530869Z ok (0.033s)
2022-11-23T02:29:24.9531174Z   test_enumvalues (__main__.NNModuleTests) ... inline_call []
2022-11-23T02:29:24.9531646Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T02:29:24.9531962Z ok (0.032s)
2022-11-23T02:29:24.9532429Z   test_fnmember (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:29:24.9532808Z ok (0.023s)
2022-11-23T02:29:24.9533311Z   test_fnmembercmp1 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:29:24.9533663Z ok (0.023s)
2022-11-23T02:29:24.9534169Z   test_fnmembercmp2 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:29:24.9534547Z ok (0.023s)
2022-11-23T02:29:24.9534839Z   test_forward_directly (__main__.NNModuleTests) ... inline_call []
2022-11-23T02:29:24.9535319Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:29:24.9535639Z ok (0.037s)
2022-11-23T02:29:24.9535925Z   test_generation_tag (__main__.NNModuleTests) ... ok (0.004s)
2022-11-23T02:29:24.9537051Z   test_hasattr (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:29:24.9537427Z ok (0.018s)
2022-11-23T02:29:24.9538100Z   test_intarg (__main__.NNModuleTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:29:24.9538440Z ok (0.024s)
2022-11-23T02:29:24.9538920Z   test_iseval1 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:29:24.9539285Z ok (0.022s)
2022-11-23T02:29:24.9539759Z   test_iseval2 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:29:24.9540122Z ok (0.022s)
2022-11-23T02:29:24.9540621Z   test_isnonelayer (__main__.NNModuleTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:29:24.9540994Z ok (0.021s)
2022-11-23T02:29:24.9541471Z   test_istraining1 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:29:24.9541840Z ok (0.022s)
2022-11-23T02:29:24.9542326Z   test_istraining2 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:29:24.9542669Z ok (0.022s)
2022-11-23T02:29:24.9543253Z   test_layerlist (__main__.NNModuleTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:29:24.9543620Z ok (0.031s)
2022-11-23T02:29:24.9544464Z   test_lazy_module (__main__.NNModuleTests) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:29:24.9545205Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:29:24.9546100Z [2022-11-23 02:29:22,827] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7ff35166c940> [ShapeVariable()] {} missing a required argument: 'shape'
2022-11-23T02:29:24.9547093Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:29:24.9547760Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:29:24.9548528Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:29:24.9549166Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:29:24.9550046Z [2022-11-23 02:29:22,874] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7ff35166c940> [ShapeVariable()] {} missing a required argument: 'shape'
2022-11-23T02:29:24.9551040Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:29:24.9551710Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:29:24.9552092Z frames [('total', 16), ('ok', 14)]
2022-11-23T02:29:24.9553066Z inline_call [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2), ('call_function UserDefinedObjectVariable(_infer_parameters) [NNModuleVariable(), TupleVariable()] {}', 1), ('call_function UserDefinedObjectVariable(_infer_parameters) [UnspecializedNNModuleVariable(LazyModule), TupleVariable()] {}', 1)]
2022-11-23T02:29:24.9553944Z unimplemented [("Guard setup for uninitialized class <class '__main__.LazyModule'>", 2)]
2022-11-23T02:29:24.9554486Z graph_break [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2)]
2022-11-23T02:29:24.9554978Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:29:24.9555304Z ok (0.115s)
2022-11-23T02:29:24.9555769Z   test_module_attribute_precedence (__main__.NNModuleTests) ... inline_call []
2022-11-23T02:29:24.9556262Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:29:24.9556585Z ok (0.021s)
2022-11-23T02:29:24.9556911Z   test_module_class_method (__main__.NNModuleTests) ... inline_call []
2022-11-23T02:29:24.9557411Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T02:29:24.9557713Z ok (0.053s)
2022-11-23T02:29:24.9558236Z   test_module_name_string (__main__.NNModuleTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:29:24.9558620Z ok (0.026s)
2022-11-23T02:29:24.9558913Z   test_module_property (__main__.NNModuleTests) ... inline_call []
2022-11-23T02:29:24.9559394Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:29:24.9559725Z ok (0.013s)
2022-11-23T02:29:24.9560024Z   test_module_static_method (__main__.NNModuleTests) ... inline_call []
2022-11-23T02:29:24.9560516Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T02:29:24.9560831Z ok (0.053s)
2022-11-23T02:29:24.9561311Z   test_moduledict (__main__.NNModuleTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:29:24.9561680Z ok (0.019s)
2022-11-23T02:29:24.9562278Z   test_modulelist (__main__.NNModuleTests) ... stats [('calls_captured', 40), ('fusions_possible', 39), ('unique_graphs', 1)]
2022-11-23T02:29:24.9562667Z ok (0.194s)
2022-11-23T02:29:24.9562962Z   test_modulemethod1 (__main__.NNModuleTests) ... inline_call []
2022-11-23T02:29:24.9563440Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T02:29:24.9563763Z ok (0.054s)
2022-11-23T02:29:24.9564052Z   test_modulemethod2 (__main__.NNModuleTests) ... inline_call []
2022-11-23T02:29:24.9564521Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T02:29:24.9564846Z ok (0.054s)
2022-11-23T02:29:24.9565343Z   test_nn_moduledict_contains (__main__.NNModuleTests) ... stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T02:29:24.9565805Z frames [('total', 2), ('ok', 1)]
2022-11-23T02:29:24.9566189Z inline_call [('Patched init cannot be inlined.', 1)]
2022-11-23T02:29:24.9566792Z unimplemented [("Guard setup for uninitialized class <class '__main__.NNModuleTests.test_nn_moduledict_contains.<locals>.M'>", 1)]
2022-11-23T02:29:24.9567303Z graph_break [('Patched init cannot be inlined.', 1)]
2022-11-23T02:29:24.9567600Z ok (0.037s)
2022-11-23T02:29:24.9567917Z   test_parameters1 (__main__.NNModuleTests) ... inline_call []
2022-11-23T02:29:24.9568373Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:29:24.9568700Z ok (0.019s)
2022-11-23T02:29:24.9569016Z   test_parameters2 (__main__.NNModuleTests) ... inline_call []
2022-11-23T02:29:24.9569461Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:29:24.9569785Z ok (0.018s)
2022-11-23T02:29:24.9570285Z   test_parameters3 (__main__.NNModuleTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T02:29:24.9570658Z ok (0.035s)
2022-11-23T02:29:24.9571136Z   test_self_mutating1 (__main__.NNModuleTests) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T02:29:24.9571516Z ok (0.074s)
2022-11-23T02:29:24.9572004Z   test_seq (__main__.NNModuleTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:29:24.9572341Z ok (0.033s)
2022-11-23T02:29:24.9573035Z   test_simple_torch_function (__main__.NNModuleTests) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T02:29:24.9573649Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T02:29:24.9574348Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T02:29:24.9574998Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T02:29:24.9575348Z inline_call []
2022-11-23T02:29:24.9575762Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:29:24.9576463Z ok (0.026s)
2022-11-23T02:29:24.9577191Z   test_stringmember (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:29:24.9577571Z ok (0.022s)
2022-11-23T02:29:24.9577858Z   test_submodules1 (__main__.NNModuleTests) ... inline_call []
2022-11-23T02:29:24.9578339Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T02:29:24.9578661Z ok (0.047s)
2022-11-23T02:29:24.9578968Z   test_submodules2 (__main__.NNModuleTests) ... inline_call []
2022-11-23T02:29:24.9579412Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T02:29:24.9579728Z ok (0.047s)
2022-11-23T02:29:24.9580031Z   test_super1 (__main__.NNModuleTests) ... inline_call []
2022-11-23T02:29:24.9580478Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:29:24.9580790Z ok (0.029s)
2022-11-23T02:29:24.9581109Z   test_super_class_method (__main__.NNModuleTests) ... inline_call []
2022-11-23T02:29:24.9581774Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:29:24.9582112Z ok (0.014s)
2022-11-23T02:29:24.9582612Z   test_tensorlist (__main__.NNModuleTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:29:24.9582981Z ok (0.023s)
2022-11-23T02:29:24.9583656Z   test_torch_function_with_closure (__main__.NNModuleTests) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T02:29:24.9584285Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T02:29:24.9584967Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T02:29:24.9585484Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T02:29:24.9586005Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:29:24.9586328Z ok (0.017s)
2022-11-23T02:29:24.9586755Z   test_unsupportedmethod (__main__.NNModuleTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T02:29:24.9587339Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T02:29:24.9587749Z unimplemented []
2022-11-23T02:29:24.9588269Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T02:29:24.9588806Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)]
2022-11-23T02:29:24.9589133Z ok (0.057s)
2022-11-23T02:29:24.9589561Z   test_unsupportedmodule (__main__.NNModuleTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T02:29:24.9590165Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T02:29:24.9590550Z unimplemented []
2022-11-23T02:29:24.9591065Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T02:29:24.9591622Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2022-11-23T02:29:24.9591923Z ok (0.059s)
2022-11-23T02:29:24.9592241Z   test_viamodulecall (__main__.NNModuleTests) ... inline_call []
2022-11-23T02:29:24.9592716Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T02:29:24.9593008Z ok (0.027s)
2022-11-23T02:29:24.9593321Z   test_attr (__main__.OptimizedModuleTest) ... ok (0.003s)
2022-11-23T02:29:24.9594004Z   test_composition (__main__.OptimizedModuleTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:29:24.9594353Z inline_call []
2022-11-23T02:29:24.9594745Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:29:24.9595064Z ok (0.017s)
2022-11-23T02:29:24.9595520Z   test_composition_with_opt_mod (__main__.OptimizedModuleTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:29:24.9596015Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T02:29:24.9596667Z inline_call [('inline in skipfiles: forward /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 1)]
2022-11-23T02:29:24.9597064Z unimplemented []
2022-11-23T02:29:24.9597566Z graph_break [('inline in skipfiles: forward /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 1)]
2022-11-23T02:29:24.9597954Z ok (0.020s)
2022-11-23T02:29:24.9598378Z   test_nn_module (__main__.OptimizedModuleTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:29:24.9598883Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:29:24.9599174Z ok (0.022s)
2022-11-23T02:29:24.9599600Z   test_recursion (__main__.OptimizedModuleTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:29:24.9600097Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T02:29:24.9600391Z ok (0.024s)
2022-11-23T02:29:24.9600876Z   test_to (__main__.OptimizedModuleTest) ... frames [('total', 3), ('ok', 3)]
2022-11-23T02:29:24.9601377Z stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T02:29:24.9601670Z ok (0.062s)
2022-11-23T02:29:24.9601823Z 
2022-11-23T02:29:24.9602097Z ----------------------------------------------------------------------
2022-11-23T02:29:24.9602437Z Ran 54 tests in 4.032s
2022-11-23T02:29:24.9602604Z 
2022-11-23T02:29:24.9602759Z OK
2022-11-23T02:29:24.9602876Z 
2022-11-23T02:29:24.9603001Z Generating XML reports...
2022-11-23T02:29:24.9603560Z Generated XML report: test-reports/python-unittest/dynamo.test_modules/TEST-NNModuleTests-20221123022920.xml
2022-11-23T02:29:24.9604272Z Generated XML report: test-reports/python-unittest/dynamo.test_modules/TEST-OptimizedModuleTest-20221123022920.xml
2022-11-23T02:29:24.9604611Z 
2022-11-23T02:29:24.9605115Z ##[endgroup]
2022-11-23T02:29:24.9605666Z FINISHED PRINTING LOG FILE of dynamo/test_modules (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_modules__6zoksex)
2022-11-23T02:29:24.9605979Z 
2022-11-23T02:29:28.2404145Z Ignoring disabled issues:  []
2022-11-23T02:29:28.2789877Z Running dynamo/test_export_mutations ... [2022-11-23 02:29:28.278212]
2022-11-23T02:29:28.2790730Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_export_mutations.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:29:28.278688]
2022-11-23T02:29:33.4918736Z 
2022-11-23T02:29:33.4919654Z Expand the folded group to see the log file of dynamo/test_export_mutations
2022-11-23T02:29:33.4920762Z ##[group]PRINTING LOG FILE of dynamo/test_export_mutations (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_mutations_mu6h7mmp)
2022-11-23T02:29:33.4921110Z 
2022-11-23T02:29:33.4921232Z Running tests...
2022-11-23T02:29:33.4921770Z ----------------------------------------------------------------------
2022-11-23T02:29:33.4922231Z Test results will be stored in test-reports/python-unittest/dynamo.test_export_mutations
2022-11-23T02:29:33.4923486Z   test_module_attribute_mutation_violation_negative_1 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88468 for platform(s) linux, macos, mac. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (1.983s)
2022-11-23T02:29:33.4925128Z   test_module_attribute_mutation_violation_negative_2 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88475 for platform(s) linux, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T02:29:33.4927031Z   test_module_attribute_mutation_violation_negative_3 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88466 for platform(s) linux, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T02:29:33.4928578Z   test_module_attribute_mutation_violation_negative_4 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88467 for platform(s) linux, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T02:29:33.4929411Z   test_module_attribute_mutation_violation_positive_1 (__main__.MutationExportTests) ... ok (0.015s)
2022-11-23T02:29:33.4929980Z   test_module_attribute_mutation_violation_positive_2 (__main__.MutationExportTests) ... ok (0.005s)
2022-11-23T02:29:33.4930541Z   test_module_attribute_mutation_violation_positive_3 (__main__.MutationExportTests) ... ok (0.004s)
2022-11-23T02:29:33.4931050Z   test_module_attribute_mutation_violation_positive_4 (__main__.MutationExportTests) ... inline_call []
2022-11-23T02:29:33.4931393Z ok (0.009s)
2022-11-23T02:29:33.4931548Z 
2022-11-23T02:29:33.4931846Z ----------------------------------------------------------------------
2022-11-23T02:29:33.4932187Z Ran 8 tests in 2.021s
2022-11-23T02:29:33.4932420Z 
2022-11-23T02:29:33.4932518Z OK (skipped=4)
2022-11-23T02:29:33.4932610Z 
2022-11-23T02:29:33.4932741Z Generating XML reports...
2022-11-23T02:29:33.4933367Z Generated XML report: test-reports/python-unittest/dynamo.test_export_mutations/TEST-MutationExportTests-20221123022930.xml
2022-11-23T02:29:33.4933780Z 
2022-11-23T02:29:33.4934114Z ##[endgroup]
2022-11-23T02:29:33.4934697Z FINISHED PRINTING LOG FILE of dynamo/test_export_mutations (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_mutations_mu6h7mmp)
2022-11-23T02:29:33.4935045Z 
2022-11-23T02:29:36.8445448Z Ignoring disabled issues:  []
2022-11-23T02:29:36.8820566Z Running test_model_dump ... [2022-11-23 02:29:36.881349]
2022-11-23T02:29:36.8821685Z Executing ['/opt/conda/bin/python', '-bb', 'test_model_dump.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:29:36.881819]
2022-11-23T02:29:42.8253430Z 
2022-11-23T02:29:42.8254110Z Expand the folded group to see the log file of test_model_dump
2022-11-23T02:29:42.8255251Z ##[group]PRINTING LOG FILE of test_model_dump (/var/lib/jenkins/workspace/test/test-reports/test_model_dump_b6xltezb)
2022-11-23T02:29:42.8255968Z 
2022-11-23T02:29:42.8256605Z Running tests...
2022-11-23T02:29:42.8257403Z ----------------------------------------------------------------------
2022-11-23T02:29:42.8257909Z Test results will be stored in test-reports/python-unittest/test_model_dump
2022-11-23T02:29:42.8258364Z   test_inline_skeleton (__main__.TestModelDump) ... ok (2.018s)
2022-11-23T02:29:42.8258753Z   test_invalid_json (__main__.TestModelDump) ... ok (0.032s)
2022-11-23T02:29:42.8259108Z   test_main (__main__.TestModelDump) ... ok (0.026s)
2022-11-23T02:29:42.8259497Z   test_memory_computation (__main__.TestModelDump) ... skip: Webdriver not requested (0.002s)
2022-11-23T02:29:42.8259918Z   test_model_with_lists (__main__.TestModelDump) ... ok (0.008s)
2022-11-23T02:29:42.8260312Z   test_optimized_quantized_model (__main__.TestModelDump) ... ok (0.454s)
2022-11-23T02:29:42.8260688Z   test_quantized_model (__main__.TestModelDump) ... ok (0.329s)
2022-11-23T02:29:42.8261068Z   test_scripted_model (__main__.TestModelDump) ... ok (0.018s)
2022-11-23T02:29:42.8261847Z   test_traced_model (__main__.TestModelDump) ... ok (0.028s)
2022-11-23T02:29:42.8262061Z 
2022-11-23T02:29:42.8262363Z ----------------------------------------------------------------------
2022-11-23T02:29:42.8262674Z Ran 9 tests in 2.916s
2022-11-23T02:29:42.8262840Z 
2022-11-23T02:29:42.8262953Z OK (skipped=1)
2022-11-23T02:29:42.8263114Z 
2022-11-23T02:29:42.8263246Z Generating XML reports...
2022-11-23T02:29:42.8263795Z Generated XML report: test-reports/python-unittest/test_model_dump/TEST-TestModelDump-20221123022939.xml
2022-11-23T02:29:42.8264111Z 
2022-11-23T02:29:42.8264550Z ##[endgroup]
2022-11-23T02:29:42.8265071Z FINISHED PRINTING LOG FILE of test_model_dump (/var/lib/jenkins/workspace/test/test-reports/test_model_dump_b6xltezb)
2022-11-23T02:29:42.8265370Z 
2022-11-23T02:29:46.1560003Z Ignoring disabled issues:  []
2022-11-23T02:29:46.1939921Z Running profiler/test_memory_profiler ... [2022-11-23 02:29:46.193309]
2022-11-23T02:29:46.1941044Z Executing ['/opt/conda/bin/python', '-bb', 'profiler/test_memory_profiler.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:29:46.193765]
2022-11-23T02:29:51.9629919Z 
2022-11-23T02:29:51.9630941Z Expand the folded group to see the log file of profiler/test_memory_profiler
2022-11-23T02:29:51.9633210Z ##[group]PRINTING LOG FILE of profiler/test_memory_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_memory_profiler_e0a5_7q2)
2022-11-23T02:29:51.9634071Z 
2022-11-23T02:29:51.9634272Z Running tests...
2022-11-23T02:29:51.9634939Z ----------------------------------------------------------------------
2022-11-23T02:29:51.9635494Z Test results will be stored in test-reports/python-unittest/profiler.test_memory_profiler
2022-11-23T02:29:51.9636228Z   test_match_schemas (__main__.TestDataFlow) ... STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9636854Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9637479Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9637847Z ok (2.327s)
2022-11-23T02:29:51.9638447Z   test_match_schemas_backward (__main__.TestDataFlow) ... STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9639078Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9639686Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9640048Z ok (0.013s)
2022-11-23T02:29:51.9640624Z   test_match_schemas_tensorlist (__main__.TestDataFlow) ... STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9641290Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9641906Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9642271Z ok (0.009s)
2022-11-23T02:29:51.9642882Z   test_extract_gradients_from_module (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9643575Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9644189Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9645092Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T02:29:51.9645680Z   warnings.warn(message, UserWarning)
2022-11-23T02:29:51.9646451Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9647049Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9647664Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9648239Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9648836Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9649433Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9650007Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9650597Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9651204Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9651569Z ok (0.089s)
2022-11-23T02:29:51.9652201Z   test_extract_gradients_from_module_and_optimizer (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9652995Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9653605Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9653962Z ok (0.021s)
2022-11-23T02:29:51.9654564Z   test_extract_gradients_from_optimizer (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9655252Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9655864Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9656953Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9657543Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9658157Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9658743Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9659301Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9659902Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9660490Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9661078Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9661654Z STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9662017Z ok (0.093s)
2022-11-23T02:29:51.9662673Z   test_extract_gradients_from_optimizer_set_to_none (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 02:29:50 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9663354Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9663960Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9664555Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9665148Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9665937Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9666533Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9667121Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9667730Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9668367Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9668950Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9669557Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9669908Z ok (0.101s)
2022-11-23T02:29:51.9670532Z   test_extract_gradients_low_level (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9671216Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9671827Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9672531Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9673131Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9673728Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9674091Z ok (0.030s)
2022-11-23T02:29:51.9674646Z   test_config_check (__main__.TestMemoryProfiler) ... STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9675297Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9675886Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9676447Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9677034Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9677622Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9678202Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:29:51.9678762Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:29:51.9679357Z STAGE:2022-11-23 02:29:51 6198:6198 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:29:51.9679723Z ok (0.020s)
2022-11-23T02:29:51.9679877Z 
2022-11-23T02:29:51.9680155Z ----------------------------------------------------------------------
2022-11-23T02:29:51.9680469Z Ran 9 tests in 2.705s
2022-11-23T02:29:51.9680634Z 
2022-11-23T02:29:51.9680727Z OK
2022-11-23T02:29:51.9680861Z 
2022-11-23T02:29:51.9680990Z Generating XML reports...
2022-11-23T02:29:51.9681550Z Generated XML report: test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestDataFlow-20221123022948.xml
2022-11-23T02:29:51.9682304Z Generated XML report: test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestIdentifyGradients-20221123022948.xml
2022-11-23T02:29:51.9683052Z Generated XML report: test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestMemoryProfiler-20221123022948.xml
2022-11-23T02:29:51.9683393Z 
2022-11-23T02:29:51.9683846Z ##[endgroup]
2022-11-23T02:29:51.9684421Z FINISHED PRINTING LOG FILE of profiler/test_memory_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_memory_profiler_e0a5_7q2)
2022-11-23T02:29:51.9684880Z 
2022-11-23T02:29:55.2793862Z Ignoring disabled issues:  []
2022-11-23T02:29:55.3171146Z Running test_datapipe ... [2022-11-23 02:29:55.316418]
2022-11-23T02:29:55.3172175Z Executing ['/opt/conda/bin/python', '-bb', 'test_datapipe.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:29:55.316829]
2022-11-23T02:30:01.0780725Z 
2022-11-23T02:30:01.0781831Z Expand the folded group to see the log file of test_datapipe
2022-11-23T02:30:01.0783194Z ##[group]PRINTING LOG FILE of test_datapipe (/var/lib/jenkins/workspace/test/test-reports/test_datapipe_srrm8b2t)
2022-11-23T02:30:01.0783849Z 
2022-11-23T02:30:01.0784056Z Running tests...
2022-11-23T02:30:01.0785176Z ----------------------------------------------------------------------
2022-11-23T02:30:01.0786414Z   test_basic_capture (__main__.TestCaptureDataFrame) ... Test results will be stored in test-reports/python-unittest/test_datapipe
2022-11-23T02:30:01.0787780Z skip: no dataframes (pandas) (0.001s)
2022-11-23T02:30:01.0788406Z   test_circular_serialization_with_dill (__main__.TestCircularSerialization) ... skip: no dill (0.002s)
2022-11-23T02:30:01.0789894Z   test_circular_serialization_with_pickle (__main__.TestCircularSerialization) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py:289: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again.
2022-11-23T02:30:01.0790718Z   warnings.warn("Some child DataPipes are not exhausted when __iter__ is called. We are resetting "
2022-11-23T02:30:01.0791055Z ok (2.025s)
2022-11-23T02:30:01.0791361Z   test_as_string (__main__.TestDataChunk) ... ok (0.001s)
2022-11-23T02:30:01.0791719Z   test_getitem (__main__.TestDataChunk) ... ok (0.001s)
2022-11-23T02:30:01.0792042Z   test_iter (__main__.TestDataChunk) ... ok (0.001s)
2022-11-23T02:30:01.0792377Z   test_len (__main__.TestDataChunk) ... ok (0.000s)
2022-11-23T02:30:01.0792747Z   test_random_shuffle (__main__.TestDataChunk) ... ok (0.001s)
2022-11-23T02:30:01.0793084Z   test_reverse (__main__.TestDataChunk) ... ok (0.001s)
2022-11-23T02:30:01.0793423Z   test_sort (__main__.TestDataChunk) ... ok (0.001s)
2022-11-23T02:30:01.0793826Z   test_batch (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.001s)
2022-11-23T02:30:01.0794270Z   test_capture (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.001s)
2022-11-23T02:30:01.0794736Z   test_collate (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.001s)
2022-11-23T02:30:01.0795192Z   test_filter (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.001s)
2022-11-23T02:30:01.0795646Z   test_shuffle (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.001s)
2022-11-23T02:30:01.0796074Z   test_unbatch (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.000s)
2022-11-23T02:30:01.0796540Z   test_batch_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.005s)
2022-11-23T02:30:01.0797529Z   test_collate_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T02:30:01.0798144Z   warnings.warn(
2022-11-23T02:30:01.0798377Z ok (0.008s)
2022-11-23T02:30:01.0799016Z   test_concat_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.004s)
2022-11-23T02:30:01.0799999Z   test_demux_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T02:30:01.0800611Z   warnings.warn(
2022-11-23T02:30:01.0801295Z /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T02:30:01.0801953Z   warnings.warn(
2022-11-23T02:30:01.0802662Z /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T02:30:01.0803151Z   warnings.warn(
2022-11-23T02:30:01.0803842Z /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T02:30:01.0804361Z   warnings.warn(
2022-11-23T02:30:01.0804603Z ok (0.013s)
2022-11-23T02:30:01.0804930Z   test_filter_datapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.009s)
2022-11-23T02:30:01.0805388Z   test_fork_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.016s)
2022-11-23T02:30:01.0805861Z   test_iterable_wrapper_datapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.003s)
2022-11-23T02:30:01.0806323Z   test_map_dict_with_col_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.027s)
2022-11-23T02:30:01.0807377Z   test_map_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T02:30:01.0807993Z   warnings.warn(
2022-11-23T02:30:01.0808232Z ok (0.009s)
2022-11-23T02:30:01.0808587Z   test_map_tuple_list_with_col_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.051s)
2022-11-23T02:30:01.0809066Z   test_mux_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.003s)
2022-11-23T02:30:01.0809529Z   test_sampler_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.002s)
2022-11-23T02:30:01.0810702Z   test_serializable (__main__.TestFunctionalIterDataPipe) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py:289: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again.
2022-11-23T02:30:01.0811481Z   warnings.warn("Some child DataPipes are not exhausted when __iter__ is called. We are resetting "
2022-11-23T02:30:01.0812358Z /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py:289: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again.
2022-11-23T02:30:01.0813032Z   warnings.warn("Some child DataPipes are not exhausted when __iter__ is called. We are resetting "
2022-11-23T02:30:01.0813389Z ok (0.061s)
2022-11-23T02:30:01.0813792Z   test_serializable_with_dill (__main__.TestFunctionalIterDataPipe)
2022-11-23T02:30:01.0814191Z Only for DataPipes that take in a function as argument ... ok (0.042s)
2022-11-23T02:30:01.0814635Z   test_shuffler_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.008s)
2022-11-23T02:30:01.0815111Z   test_stream_reader_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.002s)
2022-11-23T02:30:01.0815562Z   test_unbatch_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.007s)
2022-11-23T02:30:01.0816518Z   test_zip_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.004s)
2022-11-23T02:30:01.0817228Z   test_batch_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... ok (0.004s)
2022-11-23T02:30:01.0817691Z   test_concat_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... ok (0.003s)
2022-11-23T02:30:01.0818643Z   test_map_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T02:30:01.0819438Z   warnings.warn(
2022-11-23T02:30:01.0819679Z ok (0.006s)
2022-11-23T02:30:01.0820038Z   test_sequence_wrapper_datapipe (__main__.TestFunctionalMapDataPipe) ... ok (0.003s)
2022-11-23T02:30:01.0820466Z   test_serializable (__main__.TestFunctionalMapDataPipe) ... ok (0.014s)
2022-11-23T02:30:01.0820891Z   test_serializable_with_dill (__main__.TestFunctionalMapDataPipe)
2022-11-23T02:30:01.0821304Z Only for DataPipes that take in a function as argument ... ok (0.010s)
2022-11-23T02:30:01.0821712Z   test_shuffler_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... ok (0.006s)
2022-11-23T02:30:01.0822150Z   test_zip_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... ok (0.003s)
2022-11-23T02:30:01.0823041Z   test_simple_traverse (__main__.TestGraph) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T02:30:01.0823591Z   warnings.warn(
2022-11-23T02:30:01.0823817Z ok (0.003s)
2022-11-23T02:30:01.0824138Z   test_traverse_circular_datapipe (__main__.TestGraph) ... ok (0.002s)
2022-11-23T02:30:01.0824508Z   test_traverse_forked (__main__.TestGraph) ... ok (0.004s)
2022-11-23T02:30:01.0824855Z   test_traverse_mapdatapipe (__main__.TestGraph) ... ok (0.003s)
2022-11-23T02:30:01.0825329Z   test_traverse_mixdatapipe (__main__.TestGraph) ... ok (0.002s)
2022-11-23T02:30:01.0825731Z   test_traverse_unhashable_datapipe (__main__.TestGraph) ... ok (0.002s)
2022-11-23T02:30:01.0826211Z   test_iterdatapipe_sample_yielded_generator_function (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.001s)
2022-11-23T02:30:01.0826814Z   test_iterdatapipe_sample_yielded_generator_function_exception (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.003s)
2022-11-23T02:30:01.0827380Z   test_iterdatapipe_sample_yielded_next (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.002s)
2022-11-23T02:30:01.0827929Z   test_iterdatapipe_sample_yielded_next_exception (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.002s)
2022-11-23T02:30:01.0828474Z   test_iterdatapipe_sample_yielded_return_self (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.002s)
2022-11-23T02:30:01.0829016Z   test_simple_snapshot_custom_non_generator (__main__.TestIterDataPipeGraphFastForward) ... ok (0.002s)
2022-11-23T02:30:01.0829541Z   test_simple_snapshot_custom_self_next (__main__.TestIterDataPipeGraphFastForward) ... ok (0.002s)
2022-11-23T02:30:01.0830037Z   test_simple_snapshot_graph (__main__.TestIterDataPipeGraphFastForward) ... ok (0.022s)
2022-11-23T02:30:01.0831108Z   test_simple_snapshot_graph_repeated (__main__.TestIterDataPipeGraphFastForward) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py:289: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again.
2022-11-23T02:30:01.0831903Z   warnings.warn("Some child DataPipes are not exhausted when __iter__ is called. We are resetting "
2022-11-23T02:30:01.0832258Z ok (0.009s)
2022-11-23T02:30:01.0832649Z   test_simple_snapshot_graph_with_serialization (__main__.TestIterDataPipeGraphFastForward) ... ok (0.018s)
2022-11-23T02:30:01.0833154Z   test_iterdatapipe_singleton_buggy (__main__.TestIterDataPipeSingletonConstraint)
2022-11-23T02:30:01.0833758Z Buggy test case case where IterDataPipe's `__iter__` returns a new object, but also has ... ok (0.004s)
2022-11-23T02:30:01.0834283Z   test_iterdatapipe_singleton_constraint_multiple_outputs (__main__.TestIterDataPipeSingletonConstraint)
2022-11-23T02:30:01.0834803Z Testing for the case where IterDataPipe has multiple child DataPipes as outputs. ... ok (0.010s)
2022-11-23T02:30:01.0835281Z   test_iterdatapipe_singleton_generator (__main__.TestIterDataPipeSingletonConstraint)
2022-11-23T02:30:01.0835859Z Testing for the case where IterDataPipe's `__iter__` is a generator function. ... ok (0.005s)
2022-11-23T02:30:01.0836429Z   test_iterdatapipe_singleton_new_object (__main__.TestIterDataPipeSingletonConstraint)
2022-11-23T02:30:01.0837012Z Testing for the case where IterDataPipe's `__iter__` isn't a generator nor returns `self`, ... ok (0.003s)
2022-11-23T02:30:01.0837505Z   test_iterdatapipe_singleton_self_next (__main__.TestIterDataPipeSingletonConstraint)
2022-11-23T02:30:01.0838126Z Testing for the case where IterDataPipe's `__iter__` returns `self` and there is a `__next__` method ... ok (0.006s)
2022-11-23T02:30:01.0839095Z   test_demux_mux_datapipe (__main__.TestIterableDataPipeBasic) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T02:30:01.0839671Z   warnings.warn(
2022-11-23T02:30:01.0839909Z ok (0.005s)
2022-11-23T02:30:01.0840259Z   test_groupby_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.009s)
2022-11-23T02:30:01.0840726Z   test_listdirfiles_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.004s)
2022-11-23T02:30:01.0841233Z   test_listdirfilesdeterministic_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.003s)
2022-11-23T02:30:01.0841739Z   test_map_with_col_file_handle_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.004s)
2022-11-23T02:30:01.0842303Z   test_openfilesfromdisk_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.006s)
2022-11-23T02:30:01.0842856Z   test_routeddecoder_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.005s)
2022-11-23T02:30:01.0843306Z   test_spawn_lambdas_iter (__main__.TestSerialization) ... skip: no dill (0.001s)
2022-11-23T02:30:01.0843736Z   test_spawn_lambdas_map (__main__.TestSerialization) ... skip: no dill (0.001s)
2022-11-23T02:30:01.0844137Z   test_old_dataloader (__main__.TestSharding) ... ok (0.080s)
2022-11-23T02:30:01.0844624Z   test_sharding_groups (__main__.TestSharding) ... /var/lib/jenkins/workspace/test/test_datapipe.py:2692: DeprecationWarning: Please use assertEqual instead.
2022-11-23T02:30:01.0845090Z   self.assertEquals(expected, actual)
2022-11-23T02:30:01.0845513Z /var/lib/jenkins/workspace/test/test_datapipe.py:2693: DeprecationWarning: Please use assertEqual instead.
2022-11-23T02:30:01.0845895Z   self.assertEquals(3, len(dp))
2022-11-23T02:30:01.0846154Z ok (0.003s)
2022-11-23T02:30:01.0846460Z   test_sharding_length (__main__.TestSharding) ... ok (0.003s)
2022-11-23T02:30:01.0846813Z   test_simple_sharding (__main__.TestSharding) ... ok (0.005s)
2022-11-23T02:30:01.0847183Z   test_api (__main__.TestStreamWrapper) ... ok (0.001s)
2022-11-23T02:30:01.0847535Z   test_dir (__main__.TestStreamWrapper) ... ok (0.001s)
2022-11-23T02:30:01.0847891Z   test_pickle (__main__.TestStreamWrapper) ... ok (0.002s)
2022-11-23T02:30:01.0848226Z   test_repr (__main__.TestStreamWrapper) ... ok (0.001s)
2022-11-23T02:30:01.0848612Z   test_compile_time (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.004s)
2022-11-23T02:30:01.0849036Z   test_construct_time (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.001s)
2022-11-23T02:30:01.0849399Z   test_isinstance (__main__.TestTyping) ... ok (0.001s)
2022-11-23T02:30:01.0849783Z   test_issubinstance (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.002s)
2022-11-23T02:30:01.0850165Z   test_protocol (__main__.TestTyping) ... ok (0.001s)
2022-11-23T02:30:01.0850546Z   test_reinforce (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.001s)
2022-11-23T02:30:01.0850934Z   test_runtime (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.001s)
2022-11-23T02:30:01.0851331Z   test_subtype (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.002s)
2022-11-23T02:30:01.0851568Z 
2022-11-23T02:30:01.0851879Z ----------------------------------------------------------------------
2022-11-23T02:30:01.0852195Z Ran 88 tests in 2.635s
2022-11-23T02:30:01.0852358Z 
2022-11-23T02:30:01.0852470Z OK (skipped=16)
2022-11-23T02:30:01.0852624Z 
2022-11-23T02:30:01.0852751Z Generating XML reports...
2022-11-23T02:30:01.0853468Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestCircularSerialization-20221123022957.xml
2022-11-23T02:30:01.0854155Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestDataChunk-20221123022957.xml
2022-11-23T02:30:01.0854868Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestFunctionalIterDataPipe-20221123022957.xml
2022-11-23T02:30:01.0855624Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestFunctionalMapDataPipe-20221123022957.xml
2022-11-23T02:30:01.0856588Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestGraph-20221123022957.xml
2022-11-23T02:30:01.0857334Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestIterDataPipeCountSampleYielded-20221123022957.xml
2022-11-23T02:30:01.0858137Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestIterDataPipeGraphFastForward-20221123022957.xml
2022-11-23T02:30:01.0858949Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestIterDataPipeSingletonConstraint-20221123022957.xml
2022-11-23T02:30:01.0859707Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestIterableDataPipeBasic-20221123022957.xml
2022-11-23T02:30:01.0860393Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestSharding-20221123022957.xml
2022-11-23T02:30:01.0861199Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestStreamWrapper-20221123022957.xml
2022-11-23T02:30:01.0861866Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestTyping-20221123022957.xml
2022-11-23T02:30:01.0862517Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestCaptureDataFrame-20221123022957.xml
2022-11-23T02:30:01.0863204Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestDataFramesPipes-20221123022957.xml
2022-11-23T02:30:01.0863883Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestSerialization-20221123022957.xml
2022-11-23T02:30:01.0864196Z 
2022-11-23T02:30:01.0864666Z ##[endgroup]
2022-11-23T02:30:01.0865173Z FINISHED PRINTING LOG FILE of test_datapipe (/var/lib/jenkins/workspace/test/test-reports/test_datapipe_srrm8b2t)
2022-11-23T02:30:01.0865465Z 
2022-11-23T02:30:04.4358030Z Ignoring disabled issues:  []
2022-11-23T02:30:04.4733674Z Running dynamo/test_global ... [2022-11-23 02:30:04.472669]
2022-11-23T02:30:04.4735063Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_global.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:30:04.473121]
2022-11-23T02:30:09.9335316Z 
2022-11-23T02:30:09.9336542Z Expand the folded group to see the log file of dynamo/test_global
2022-11-23T02:30:09.9338464Z ##[group]PRINTING LOG FILE of dynamo/test_global (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_j_6a6ntw)
2022-11-23T02:30:09.9338807Z 
2022-11-23T02:30:09.9338928Z Running tests...
2022-11-23T02:30:09.9339681Z ----------------------------------------------------------------------
2022-11-23T02:30:09.9340635Z Test results will be stored in test-reports/python-unittest/dynamo.test_global
2022-11-23T02:30:09.9341429Z   test_store_global_1 (__main__.TestGlobals) ... ok (2.097s)
2022-11-23T02:30:09.9342442Z   test_store_global_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:30:09.9343190Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:30:09.9343968Z frames [('total', 2), ('ok', 2)]
2022-11-23T02:30:09.9344835Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T02:30:09.9345434Z ok (0.019s)
2022-11-23T02:30:09.9346309Z   test_store_global_cross_file (__main__.TestGlobals) ... frames [('total', 2), ('ok', 2)]
2022-11-23T02:30:09.9347064Z unimplemented []
2022-11-23T02:30:09.9347934Z graph_break [('call_function BuiltinVariable(setattr) [PythonModuleVariable(), ConstantVariable(str), TensorVariable()] {}', 1)]
2022-11-23T02:30:09.9348929Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:30:09.9349285Z ok (0.017s)
2022-11-23T02:30:09.9349695Z   test_store_global_dict (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:30:09.9350185Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:30:09.9350480Z ok (0.011s)
2022-11-23T02:30:09.9350904Z   test_store_global_dict_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:30:09.9351232Z inline_call []
2022-11-23T02:30:09.9351611Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:30:09.9351923Z ok (0.013s)
2022-11-23T02:30:09.9352338Z   test_store_global_inline_1 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:30:09.9352643Z inline_call []
2022-11-23T02:30:09.9353040Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:30:09.9353349Z ok (0.018s)
2022-11-23T02:30:09.9353752Z   test_store_global_inline_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:30:09.9354081Z inline_call []
2022-11-23T02:30:09.9354477Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:30:09.9354770Z ok (0.019s)
2022-11-23T02:30:09.9355367Z   test_store_global_list (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:30:09.9355871Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:30:09.9356178Z ok (0.011s)
2022-11-23T02:30:09.9356566Z   test_store_global_list_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:30:09.9356885Z inline_call []
2022-11-23T02:30:09.9357286Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:30:09.9357578Z ok (0.014s)
2022-11-23T02:30:09.9357983Z   test_store_global_new (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:30:09.9358470Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T02:30:09.9358760Z ok (0.010s)
2022-11-23T02:30:09.9359170Z   test_store_global_object (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T02:30:09.9359655Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:30:09.9359968Z ok (0.012s)
2022-11-23T02:30:09.9360100Z 
2022-11-23T02:30:09.9360380Z ----------------------------------------------------------------------
2022-11-23T02:30:09.9360712Z Ran 11 tests in 2.243s
2022-11-23T02:30:09.9360876Z 
2022-11-23T02:30:09.9360969Z OK
2022-11-23T02:30:09.9361105Z 
2022-11-23T02:30:09.9361214Z Generating XML reports...
2022-11-23T02:30:09.9361756Z Generated XML report: test-reports/python-unittest/dynamo.test_global/TEST-TestGlobals-20221123023006.xml
2022-11-23T02:30:09.9362074Z 
2022-11-23T02:30:09.9362559Z ##[endgroup]
2022-11-23T02:30:09.9363068Z FINISHED PRINTING LOG FILE of dynamo/test_global (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_j_6a6ntw)
2022-11-23T02:30:09.9363386Z 
2022-11-23T02:30:13.2931696Z Ignoring disabled issues:  []
2022-11-23T02:30:13.3320133Z Running dynamo/test_skip_non_tensor ... [2022-11-23 02:30:13.331321]
2022-11-23T02:30:13.3321490Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_skip_non_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:30:13.331752]
2022-11-23T02:30:18.6972361Z 
2022-11-23T02:30:18.6973307Z Expand the folded group to see the log file of dynamo/test_skip_non_tensor
2022-11-23T02:30:18.6975218Z ##[group]PRINTING LOG FILE of dynamo/test_skip_non_tensor (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_skip_non_tensor_s5odtcxs)
2022-11-23T02:30:18.6975943Z 
2022-11-23T02:30:18.6976599Z Running tests...
2022-11-23T02:30:18.6977501Z ----------------------------------------------------------------------
2022-11-23T02:30:18.6978061Z Test results will be stored in test-reports/python-unittest/dynamo.test_skip_non_tensor
2022-11-23T02:30:18.6978971Z   test_add_skip (__main__.SkipNonTensorTests) ... ok (1.986s)
2022-11-23T02:30:18.6979572Z   test_add_tensor1 (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:30:18.6979930Z ok (0.129s)
2022-11-23T02:30:18.6980451Z   test_add_tensor2 (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:30:18.6980820Z ok (0.009s)
2022-11-23T02:30:18.6981313Z   test_add_tensor_dict (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:30:18.6981686Z ok (0.009s)
2022-11-23T02:30:18.6982188Z   test_add_tensor_list (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T02:30:18.6982563Z ok (0.009s)
2022-11-23T02:30:18.6982852Z   test_custom_list (__main__.SkipNonTensorTests) ... ok (0.002s)
2022-11-23T02:30:18.6983241Z   test_recursive_list (__main__.SkipNonTensorTests) ... ok (0.002s)
2022-11-23T02:30:18.6983463Z 
2022-11-23T02:30:18.6983735Z ----------------------------------------------------------------------
2022-11-23T02:30:18.6984045Z Ran 7 tests in 2.148s
2022-11-23T02:30:18.6984212Z 
2022-11-23T02:30:18.6984306Z OK
2022-11-23T02:30:18.6984436Z 
2022-11-23T02:30:18.6984558Z Generating XML reports...
2022-11-23T02:30:18.6985262Z Generated XML report: test-reports/python-unittest/dynamo.test_skip_non_tensor/TEST-SkipNonTensorTests-20221123023015.xml
2022-11-23T02:30:18.6985598Z 
2022-11-23T02:30:18.6985952Z ##[endgroup]
2022-11-23T02:30:18.6986507Z FINISHED PRINTING LOG FILE of dynamo/test_skip_non_tensor (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_skip_non_tensor_s5odtcxs)
2022-11-23T02:30:18.6986837Z 
2022-11-23T02:30:22.0125546Z Ignoring disabled issues:  []
2022-11-23T02:30:22.0502551Z Running test_fx_passes ... [2022-11-23 02:30:22.049544]
2022-11-23T02:30:22.0505218Z Executing ['/opt/conda/bin/python', '-bb', 'test_fx_passes.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:30:22.050071]
2022-11-23T02:30:27.5665888Z 
2022-11-23T02:30:27.5666971Z Expand the folded group to see the log file of test_fx_passes
2022-11-23T02:30:27.5668929Z ##[group]PRINTING LOG FILE of test_fx_passes (/var/lib/jenkins/workspace/test/test-reports/test_fx_passes___jvhj2c)
2022-11-23T02:30:27.5669704Z 
2022-11-23T02:30:27.5669989Z Running tests...
2022-11-23T02:30:27.5670695Z ----------------------------------------------------------------------
2022-11-23T02:30:27.5671211Z Test results will be stored in test-reports/python-unittest/test_fx_passes
2022-11-23T02:30:27.5671779Z   test_fuser_util_partition_[['add', 'add_1', 'add_2']] (__main__.TestFXGraphPasses) ... ok (0.026s)
2022-11-23T02:30:27.5672348Z   test_fuser_util_partition_[['add', 'add_1'], ['add_5', 'add_6']] (__main__.TestFXGraphPasses) ... ok (0.010s)
2022-11-23T02:30:27.5673038Z   test_fuser_util_partition_[['add', 'linear', 'add_1', 'param', 'add_2', 'add_3', 'add_4', 'linear2', 'add_5', 'add_6', 'relu']] (__main__.TestFXGraphPasses) ... ok (0.010s)
2022-11-23T02:30:27.5673653Z   test_fuser_util_partition_[['add_2', 'add_3']] (__main__.TestFXGraphPasses) ... ok (0.009s)
2022-11-23T02:30:27.5674182Z   test_fuser_util_partition_[['add_3', 'add_4']] (__main__.TestFXGraphPasses) ... ok (0.009s)
2022-11-23T02:30:27.5674727Z   test_fuser_util_partition_[['add_4', 'add_1', 'add_3', 'add_2']] (__main__.TestFXGraphPasses) ... ok (0.011s)
2022-11-23T02:30:27.5675332Z   test_fuser_util_partition_[['add_5', 'add_6'], ['add_1', 'add_2', 'add_3', 'add_4']] (__main__.TestFXGraphPasses) ... ok (0.010s)
2022-11-23T02:30:27.5675892Z   test_fuser_util_partition_[['add_5', 'linear2']] (__main__.TestFXGraphPasses) ... ok (0.009s)
2022-11-23T02:30:27.5676419Z   test_fuser_util_partition_[['add_6', 'add_5']] (__main__.TestFXGraphPasses) ... ok (0.009s)
2022-11-23T02:30:27.5676928Z   test_fuser_util_partition_[['add_6', 'relu']] (__main__.TestFXGraphPasses) ... ok (0.009s)
2022-11-23T02:30:27.5677894Z   test_fuser_util_partition_[['param', 'add_1', 'linear']] (__main__.TestFXGraphPasses) ... ok (0.009s)
2022-11-23T02:30:27.5678439Z   test_fuser_util_partition_[['param', 'add_2']] (__main__.TestFXGraphPasses) ... ok (0.009s)
2022-11-23T02:30:27.5678994Z   test_fuser_util_xfail_partition_[['add', 'add_1', 'add_3']] (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T02:30:27.5679581Z   test_fuser_util_xfail_partition_[['add', 'add_1'], ['add_1', 'add_5', 'add_6']] (__main__.TestFXGraphPasses) ... ok (0.006s)
2022-11-23T02:30:27.5680152Z   test_fuser_util_xfail_partition_[['add_4', 'add_5']] (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T02:30:27.5680704Z   test_fuser_util_xfail_partition_[['relu', 'add_5']] (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T02:30:27.5681547Z   test_partitioner_fn_<function TestPartitionFunctions_forward1 at 0x7fc56a9c8b80>_expected_partition_[['add_7', 'add_6'], ['add_5', 'add_4', 'add_3'], ['add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.011s)
2022-11-23T02:30:27.5682531Z   test_partitioner_fn_<function TestPartitionFunctions_forward10 at 0x7fc56a9c9090>_expected_partition_[['add_3', 'add_2', 'add', 'add_1']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.023s)
2022-11-23T02:30:27.5683562Z   test_partitioner_fn_<function TestPartitionFunctions_forward11 at 0x7fc56a9c9120>_expected_partition_[['add_1'], ['add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.009s)
2022-11-23T02:30:27.5684513Z   test_partitioner_fn_<function TestPartitionFunctions_forward12 at 0x7fc56a9c91b0>_expected_partition_[['add_2'], ['add_3', 'add_4', 'add_1'], ['add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.010s)
2022-11-23T02:30:27.5685435Z   test_partitioner_fn_<function TestPartitionFunctions_forward13 at 0x7fc56a9c9240>_expected_partition_[['add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.009s)
2022-11-23T02:30:27.5686378Z   test_partitioner_fn_<function TestPartitionFunctions_forward14 at 0x7fc56a9c92d0>_expected_partition_[['add', 'std_mean', 'getitem', 'getitem_1']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.008s)
2022-11-23T02:30:27.5687393Z   test_partitioner_fn_<function TestPartitionFunctions_forward15 at 0x7fc56a9c9360>_expected_partition_[['add_1', 'add', 'permute_1', 'view', 'permute_2', 'permute_3', 'permute']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.009s)
2022-11-23T02:30:27.5688352Z   test_partitioner_fn_<function TestPartitionFunctions_forward15 at 0x7fc56a9c9360>_expected_partition_[['permute_1', 'add_1', 'add']]_bookend_non_compute_pass_True (__main__.TestFXGraphPasses) ... ok (0.009s)
2022-11-23T02:30:27.5689355Z   test_partitioner_fn_<function TestPartitionFunctions_forward16 at 0x7fc56a9c93f0>_expected_partition_[['add_1', 'add', 'permute_1', 'view', 'permute_2', 'permute_3', 'permute']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.010s)
2022-11-23T02:30:27.5690323Z   test_partitioner_fn_<function TestPartitionFunctions_forward16 at 0x7fc56a9c93f0>_expected_partition_[['permute_1', 'add_1', 'add']]_bookend_non_compute_pass_True (__main__.TestFXGraphPasses) ... ok (0.010s)
2022-11-23T02:30:27.5691253Z   test_partitioner_fn_<function TestPartitionFunctions_forward2 at 0x7fc56a9c8c10>_expected_partition_[['add_3', 'add_2'], ['add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.009s)
2022-11-23T02:30:27.5692165Z   test_partitioner_fn_<function TestPartitionFunctions_forward3 at 0x7fc56a9c8ca0>_expected_partition_[['add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.009s)
2022-11-23T02:30:27.5693059Z   test_partitioner_fn_<function TestPartitionFunctions_forward4 at 0x7fc56a9c8d30>_expected_partition_[['add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.009s)
2022-11-23T02:30:27.5694056Z   test_partitioner_fn_<function TestPartitionFunctions_forward5 at 0x7fc56a9c8dc0>_expected_partition_[['add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.008s)
2022-11-23T02:30:27.5694934Z   test_partitioner_fn_<function TestPartitionFunctions_forward6 at 0x7fc56a9c8e50>_expected_partition_[['add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.008s)
2022-11-23T02:30:27.5695850Z   test_partitioner_fn_<function TestPartitionFunctions_forward7 at 0x7fc56a9c8ee0>_expected_partition_[['add_3', 'add_2', 'add', 'add_1']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.008s)
2022-11-23T02:30:27.5697613Z   test_partitioner_fn_<function TestPartitionFunctions_forward8 at 0x7fc56a9c8f70>_expected_partition_[['add_3', 'add_2', 'add', 'add_1']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.008s)
2022-11-23T02:30:27.5698520Z   test_partitioner_fn_<function TestPartitionFunctions_forward9 at 0x7fc56a9c9000>_expected_partition_[['add_3', 'add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.009s)
2022-11-23T02:30:27.5699275Z   test_subgraph_matcher_test_model_<class '__main___ChainRepeatedPattern'> (__main__.TestFXMatcherUtils) ... ok (0.007s)
2022-11-23T02:30:27.5700191Z   test_subgraph_matcher_test_model_<class '__main___DiamondShapePatternTestCase'> (__main__.TestFXMatcherUtils) ... ok (0.009s)
2022-11-23T02:30:27.5700922Z   test_subgraph_matcher_test_model_<class '__main___MultiOutputWithWithInvalidMatches'> (__main__.TestFXMatcherUtils) ... ok (0.007s)
2022-11-23T02:30:27.5701622Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsHorizontalPattern'> (__main__.TestFXMatcherUtils) ... ok (0.007s)
2022-11-23T02:30:27.5702332Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsIdenticalAnchor'> (__main__.TestFXMatcherUtils) ... ok (0.006s)
2022-11-23T02:30:27.5703091Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsMultipleNonOverlappingMatches'> (__main__.TestFXMatcherUtils) ... ok (0.007s)
2022-11-23T02:30:27.5703882Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsMultipleOverlappingMatches'> (__main__.TestFXMatcherUtils) ... ok (0.007s)
2022-11-23T02:30:27.5704610Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsWithDependency'> (__main__.TestFXMatcherUtils) ... ok (0.007s)
2022-11-23T02:30:27.5705307Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsWithoutDependency'> (__main__.TestFXMatcherUtils) ... ok (0.007s)
2022-11-23T02:30:27.5705961Z   test_subgraph_matcher_test_model_<class '__main___NoAnchorFound'> (__main__.TestFXMatcherUtils) ... ok (0.006s)
2022-11-23T02:30:27.5706599Z   test_subgraph_matcher_test_model_<class '__main___NonFullyContainedMatches'> (__main__.TestFXMatcherUtils) ... ok (0.009s)
2022-11-23T02:30:27.5707262Z   test_subgraph_matcher_test_model_<class '__main___QuantizationFp8Pattern'> (__main__.TestFXMatcherUtils) ... ok (0.009s)
2022-11-23T02:30:27.5707894Z   test_subgraph_matcher_test_model_<class '__main___QuantizationModel'> (__main__.TestFXMatcherUtils) ... ok (0.007s)
2022-11-23T02:30:27.5708542Z   test_subgraph_matcher_test_model_<class '__main___SimpleFullGraphMatching'> (__main__.TestFXMatcherUtils) ... ok (0.007s)
2022-11-23T02:30:27.5709170Z   test_subgraph_matcher_test_model_<class '__main___SimplePattern'> (__main__.TestFXMatcherUtils) ... ok (0.008s)
2022-11-23T02:30:27.5709765Z   test_subgraph_matcher_test_model_<class '__main___SingleNodePattern'> (__main__.TestFXMatcherUtils) ... ok (0.006s)
2022-11-23T02:30:27.5710060Z 
2022-11-23T02:30:27.5710333Z ----------------------------------------------------------------------
2022-11-23T02:30:27.5710728Z Ran 50 tests in 0.453s
2022-11-23T02:30:27.5710892Z 
2022-11-23T02:30:27.5710989Z OK
2022-11-23T02:30:27.5711121Z 
2022-11-23T02:30:27.5711230Z Generating XML reports...
2022-11-23T02:30:27.5711788Z Generated XML report: test-reports/python-unittest/test_fx_passes/TEST-TestFXGraphPasses-20221123023026.xml
2022-11-23T02:30:27.5712623Z Generated XML report: test-reports/python-unittest/test_fx_passes/TEST-TestFXMatcherUtils-20221123023026.xml
2022-11-23T02:30:27.5712935Z 
2022-11-23T02:30:27.5713402Z ##[endgroup]
2022-11-23T02:30:27.5713907Z FINISHED PRINTING LOG FILE of test_fx_passes (/var/lib/jenkins/workspace/test/test-reports/test_fx_passes___jvhj2c)
2022-11-23T02:30:27.5714195Z 
2022-11-23T02:30:30.9170437Z Ignoring disabled issues:  []
2022-11-23T02:30:30.9549496Z Running nn/test_packed_sequence ... [2022-11-23 02:30:30.954230]
2022-11-23T02:30:30.9550825Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_packed_sequence.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:30:30.954740]
2022-11-23T02:30:36.1390029Z 
2022-11-23T02:30:36.1390694Z Expand the folded group to see the log file of nn/test_packed_sequence
2022-11-23T02:30:36.1391717Z ##[group]PRINTING LOG FILE of nn/test_packed_sequence (/var/lib/jenkins/workspace/test/test-reports/nn-test_packed_sequence_qgdqmz5i)
2022-11-23T02:30:36.1392083Z 
2022-11-23T02:30:36.1392178Z Running tests...
2022-11-23T02:30:36.1392769Z ----------------------------------------------------------------------
2022-11-23T02:30:36.1393300Z Test results will be stored in test-reports/python-unittest/nn.test_packed_sequence
2022-11-23T02:30:36.1393748Z   test_pack_padded_sequence (__main__.PackedSequenceTest) ... ok (2.022s)
2022-11-23T02:30:36.1394459Z   test_pack_sequence (__main__.PackedSequenceTest) ... ok (0.092s)
2022-11-23T02:30:36.1394881Z   test_pad_sequence (__main__.PackedSequenceTest) ... ok (0.016s)
2022-11-23T02:30:36.1395309Z   test_pad_sequence_with_non_iterable_sequences (__main__.PackedSequenceTest) ... ok (0.002s)
2022-11-23T02:30:36.1395747Z   test_pad_sequence_with_tensor_sequences (__main__.PackedSequenceTest) ... ok (0.002s)
2022-11-23T02:30:36.1396150Z   test_to (__main__.PackedSequenceTest) ... ok (0.012s)
2022-11-23T02:30:36.1396550Z   test_to_memory_format (__main__.PackedSequenceTest) ... ok (0.002s)
2022-11-23T02:30:36.1396957Z   test_total_length (__main__.PackedSequenceTest) ... ok (0.006s)
2022-11-23T02:30:36.1397301Z   test_type_casts (__main__.PackedSequenceTest)
2022-11-23T02:30:36.1397701Z Test type casting of `PackedSequence` against type casting of tensor ... ok (0.041s)
2022-11-23T02:30:36.1398189Z   test_unpack_sequence (__main__.PackedSequenceTest) ... ok (0.017s)
2022-11-23T02:30:36.1398569Z   test_unpad_sequence (__main__.PackedSequenceTest) ... ok (0.015s)
2022-11-23T02:30:36.1398957Z   test_wrong_order (__main__.PackedSequenceTest) ... ok (0.006s)
2022-11-23T02:30:36.1399180Z 
2022-11-23T02:30:36.1399489Z ----------------------------------------------------------------------
2022-11-23T02:30:36.1399827Z Ran 12 tests in 2.236s
2022-11-23T02:30:36.1399971Z 
2022-11-23T02:30:36.1400067Z OK
2022-11-23T02:30:36.1400204Z 
2022-11-23T02:30:36.1400329Z Generating XML reports...
2022-11-23T02:30:36.1400920Z Generated XML report: test-reports/python-unittest/nn.test_packed_sequence/TEST-PackedSequenceTest-20221123023033.xml
2022-11-23T02:30:36.1401263Z 
2022-11-23T02:30:36.1401657Z ##[endgroup]
2022-11-23T02:30:36.1402214Z FINISHED PRINTING LOG FILE of nn/test_packed_sequence (/var/lib/jenkins/workspace/test/test-reports/nn-test_packed_sequence_qgdqmz5i)
2022-11-23T02:30:36.1402538Z 
2022-11-23T02:30:39.4679602Z Ignoring disabled issues:  []
2022-11-23T02:30:39.5058673Z Running test_dynamic_shapes ... [2022-11-23 02:30:39.505163]
2022-11-23T02:30:39.5060310Z Executing ['/opt/conda/bin/python', '-bb', 'test_dynamic_shapes.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:30:39.505673]
2022-11-23T02:30:45.7317551Z 
2022-11-23T02:30:45.7318246Z Expand the folded group to see the log file of test_dynamic_shapes
2022-11-23T02:30:45.7319647Z ##[group]PRINTING LOG FILE of test_dynamic_shapes (/var/lib/jenkins/workspace/test/test-reports/test_dynamic_shapes_d3cr7qof)
2022-11-23T02:30:45.7320268Z 
2022-11-23T02:30:45.7320456Z Running tests...
2022-11-23T02:30:45.7321889Z ----------------------------------------------------------------------
2022-11-23T02:30:45.7322797Z Test results will be stored in test-reports/python-unittest/test_dynamic_shapes
2022-11-23T02:30:45.7323195Z   test_arith_ops (__main__.TestPySymInt) ... ok (2.303s)
2022-11-23T02:30:45.7323541Z   test_aten_ops (__main__.TestPySymInt) ... ok (0.042s)
2022-11-23T02:30:45.7323898Z   test_binary (__main__.TestPySymInt) ... ok (0.035s)
2022-11-23T02:30:45.7324229Z   test_fx_trace_intlist (__main__.TestPySymInt) ... ok (0.017s)
2022-11-23T02:30:45.7324508Z   test_guard_int (__main__.TestPySymInt) ... ok (0.004s)
2022-11-23T02:30:45.7324857Z   test_int_conversion (__main__.TestPySymInt) ... ok (0.001s)
2022-11-23T02:30:45.7325261Z   test_int_to_float (__main__.TestPySymInt) ... ok (0.002s)
2022-11-23T02:30:45.7325609Z   test_meta_symint (__main__.TestPySymInt) ... ok (0.004s)
2022-11-23T02:30:45.7325926Z   test_numel (__main__.TestPySymInt) ... ok (0.002s)
2022-11-23T02:30:45.7326293Z   test_print_readable_with_symints (__main__.TestPySymInt) ... ok (0.109s)
2022-11-23T02:30:45.7326683Z   test_reverse_arith_ops (__main__.TestPySymInt) ... ok (0.112s)
2022-11-23T02:30:45.7327041Z   test_roundtrip (__main__.TestPySymInt) ... ok (0.023s)
2022-11-23T02:30:45.7327380Z   test_size_expressions (__main__.TestPySymInt) ... ok (0.011s)
2022-11-23T02:30:45.7327731Z   test_stride (__main__.TestPySymInt) ... ok (0.003s)
2022-11-23T02:30:45.7328198Z   test_sym_floor (__main__.TestPySymInt) ... ok (0.128s)
2022-11-23T02:30:45.7328535Z   test_sym_int (__main__.TestPySymInt) ... ok (0.035s)
2022-11-23T02:30:45.7328868Z   test_sym_sqrt (__main__.TestPySymInt) ... ok (0.070s)
2022-11-23T02:30:45.7329211Z   test_symint_args (__main__.TestPySymInt) ... ok (0.046s)
2022-11-23T02:30:45.7329543Z   test_symint_as_scalar (__main__.TestPySymInt) ... ok (0.002s)
2022-11-23T02:30:45.7329897Z   test_symint_vargs (__main__.TestPySymInt) ... ok (0.021s)
2022-11-23T02:30:45.7330381Z   test_method_fn_add_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: add is not a float magic method (0.002s)
2022-11-23T02:30:45.7330977Z   test_method_fn_add_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: add is not a float magic method (0.001s)
2022-11-23T02:30:45.7331503Z   test_method_fn_add_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.003s)
2022-11-23T02:30:45.7332003Z   test_method_fn_add_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7332557Z   test_method_fn_ceil_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: ceil is not a float magic method (0.001s)
2022-11-23T02:30:45.7333149Z   test_method_fn_ceil_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: ceil is not a float magic method (0.001s)
2022-11-23T02:30:45.7333713Z   test_method_fn_ceil_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: ceil is unary and already tested (0.001s)
2022-11-23T02:30:45.7334252Z   test_method_fn_ceil_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7334790Z   test_method_fn_eq_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: eq is not a float magic method (0.001s)
2022-11-23T02:30:45.7335376Z   test_method_fn_eq_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: eq is not a float magic method (0.001s)
2022-11-23T02:30:45.7335887Z   test_method_fn_eq_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.003s)
2022-11-23T02:30:45.7336822Z   test_method_fn_eq_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7337372Z   test_method_fn_floor_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: floor is not a float magic method (0.001s)
2022-11-23T02:30:45.7337968Z   test_method_fn_floor_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: floor is not a float magic method (0.001s)
2022-11-23T02:30:45.7338675Z   test_method_fn_floor_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: floor is unary and already tested (0.001s)
2022-11-23T02:30:45.7339227Z   test_method_fn_floor_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7339793Z   test_method_fn_floordiv_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: floordiv is not a float magic method (0.001s)
2022-11-23T02:30:45.7340404Z   test_method_fn_floordiv_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: floordiv is not a float magic method (0.001s)
2022-11-23T02:30:45.7340946Z   test_method_fn_floordiv_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.005s)
2022-11-23T02:30:45.7341456Z   test_method_fn_floordiv_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7342009Z   test_method_fn_ge_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: ge is not a float magic method (0.001s)
2022-11-23T02:30:45.7342586Z   test_method_fn_ge_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: ge is not a float magic method (0.001s)
2022-11-23T02:30:45.7343183Z   test_method_fn_ge_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7343693Z   test_method_fn_ge_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7344237Z   test_method_fn_gt_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: gt is not a float magic method (0.001s)
2022-11-23T02:30:45.7344817Z   test_method_fn_gt_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: gt is not a float magic method (0.001s)
2022-11-23T02:30:45.7345328Z   test_method_fn_gt_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7345826Z   test_method_fn_gt_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7346365Z   test_method_fn_le_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: le is not a float magic method (0.001s)
2022-11-23T02:30:45.7346952Z   test_method_fn_le_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: le is not a float magic method (0.001s)
2022-11-23T02:30:45.7347466Z   test_method_fn_le_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7347964Z   test_method_fn_le_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7348502Z   test_method_fn_lt_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: lt is not a float magic method (0.001s)
2022-11-23T02:30:45.7349077Z   test_method_fn_lt_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: lt is not a float magic method (0.001s)
2022-11-23T02:30:45.7349592Z   test_method_fn_lt_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7350082Z   test_method_fn_lt_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7350625Z   test_method_fn_max_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: max is not a float magic method (0.001s)
2022-11-23T02:30:45.7351215Z   test_method_fn_max_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: max is not a float magic method (0.001s)
2022-11-23T02:30:45.7351740Z   test_method_fn_max_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7352230Z   test_method_fn_max_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7352866Z   test_method_fn_min_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: min is not a float magic method (0.001s)
2022-11-23T02:30:45.7353446Z   test_method_fn_min_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: min is not a float magic method (0.001s)
2022-11-23T02:30:45.7353971Z   test_method_fn_min_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7354467Z   test_method_fn_min_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7355011Z   test_method_fn_mod_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: mod is not a float magic method (0.001s)
2022-11-23T02:30:45.7355590Z   test_method_fn_mod_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: mod is not a float magic method (0.001s)
2022-11-23T02:30:45.7356112Z   test_method_fn_mod_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7356613Z   test_method_fn_mod_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7357153Z   test_method_fn_mul_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: mul is not a float magic method (0.001s)
2022-11-23T02:30:45.7357790Z   test_method_fn_mul_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: mul is not a float magic method (0.001s)
2022-11-23T02:30:45.7358337Z   test_method_fn_mul_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7358844Z   test_method_fn_mul_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7359385Z   test_method_fn_neg_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: neg is not a float magic method (0.001s)
2022-11-23T02:30:45.7359948Z   test_method_fn_neg_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: neg is not a float magic method (0.001s)
2022-11-23T02:30:45.7360537Z   test_method_fn_neg_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: neg is unary and already tested (0.001s)
2022-11-23T02:30:45.7361080Z   test_method_fn_neg_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7361636Z   test_method_fn_pow_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: pow is not a float magic method (0.001s)
2022-11-23T02:30:45.7362207Z   test_method_fn_pow_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: pow is not a float magic method (0.001s)
2022-11-23T02:30:45.7362744Z   test_method_fn_pow_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.003s)
2022-11-23T02:30:45.7363241Z   test_method_fn_pow_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7363790Z   test_method_fn_sub_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sub is not a float magic method (0.001s)
2022-11-23T02:30:45.7364346Z   test_method_fn_sub_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: sub is not a float magic method (0.001s)
2022-11-23T02:30:45.7364887Z   test_method_fn_sub_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7365382Z   test_method_fn_sub_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7365945Z   test_method_fn_sym_float_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sym_float is not a float magic method (0.001s)
2022-11-23T02:30:45.7366546Z   test_method_fn_sym_float_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: sym_float is not a float magic method (0.001s)
2022-11-23T02:30:45.7367263Z   test_method_fn_sym_float_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sym_float is unary and already tested (0.001s)
2022-11-23T02:30:45.7367815Z   test_method_fn_sym_float_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7368380Z   test_method_fn_sym_sqrt_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sym_sqrt is not a float magic method (0.001s)
2022-11-23T02:30:45.7368995Z   test_method_fn_sym_sqrt_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: sym_sqrt is not a float magic method (0.001s)
2022-11-23T02:30:45.7369578Z   test_method_fn_sym_sqrt_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sym_sqrt is unary and already tested (0.001s)
2022-11-23T02:30:45.7370135Z   test_method_fn_sym_sqrt_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7370701Z   test_method_fn_truediv_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: truediv is not a float magic method (0.001s)
2022-11-23T02:30:45.7371317Z   test_method_fn_truediv_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: truediv is not a float magic method (0.001s)
2022-11-23T02:30:45.7371943Z   test_method_fn_truediv_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7372464Z   test_method_fn_truediv_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T02:30:45.7372760Z 
2022-11-23T02:30:45.7373151Z ----------------------------------------------------------------------
2022-11-23T02:30:45.7373466Z Ran 96 tests in 3.118s
2022-11-23T02:30:45.7373632Z 
2022-11-23T02:30:45.7373741Z OK (skipped=43)
2022-11-23T02:30:45.7373902Z 
2022-11-23T02:30:45.7374027Z Generating XML reports...
2022-11-23T02:30:45.7374588Z Generated XML report: test-reports/python-unittest/test_dynamic_shapes/TEST-TestPySymInt-20221123023041.xml
2022-11-23T02:30:45.7375301Z Generated XML report: test-reports/python-unittest/test_dynamic_shapes/TEST-TestSymNumberMagicMethods-20221123023041.xml
2022-11-23T02:30:45.7375651Z 
2022-11-23T02:30:45.7376512Z ##[endgroup]
2022-11-23T02:30:45.7377032Z FINISHED PRINTING LOG FILE of test_dynamic_shapes (/var/lib/jenkins/workspace/test/test-reports/test_dynamic_shapes_d3cr7qof)
2022-11-23T02:30:45.7377336Z 
2022-11-23T02:30:49.0811616Z Ignoring disabled issues:  []
2022-11-23T02:30:49.1199755Z Running nn/test_module_hooks ... [2022-11-23 02:30:49.119307]
2022-11-23T02:30:49.1202253Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_module_hooks.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:30:49.119784]
2022-11-23T02:30:54.1041138Z 
2022-11-23T02:30:54.1041840Z Expand the folded group to see the log file of nn/test_module_hooks
2022-11-23T02:30:54.1043205Z ##[group]PRINTING LOG FILE of nn/test_module_hooks (/var/lib/jenkins/workspace/test/test-reports/nn-test_module_hooks_aj3t1i36)
2022-11-23T02:30:54.1043587Z 
2022-11-23T02:30:54.1043666Z Running tests...
2022-11-23T02:30:54.1044483Z ----------------------------------------------------------------------
2022-11-23T02:30:54.1044960Z Test results will be stored in test-reports/python-unittest/nn.test_module_hooks
2022-11-23T02:30:54.1045389Z   test_forward_hooks (__main__.TestModuleHooks) ... ok (1.964s)
2022-11-23T02:30:54.1045773Z   test_forward_pre_hooks (__main__.TestModuleHooks) ... ok (0.006s)
2022-11-23T02:30:54.1046167Z   test_full_backward_hooks (__main__.TestModuleHooks) ... ok (0.007s)
2022-11-23T02:30:54.1046542Z   test_full_backward_pre_hooks (__main__.TestModuleHooks) ... ok (0.006s)
2022-11-23T02:30:54.1046920Z   test_mixed_hooks (__main__.TestModuleHooks) ... ok (0.006s)
2022-11-23T02:30:54.1047132Z 
2022-11-23T02:30:54.1047406Z ----------------------------------------------------------------------
2022-11-23T02:30:54.1047715Z Ran 5 tests in 1.992s
2022-11-23T02:30:54.1048279Z 
2022-11-23T02:30:54.1048392Z OK
2022-11-23T02:30:54.1048525Z 
2022-11-23T02:30:54.1048651Z Generating XML reports...
2022-11-23T02:30:54.1049233Z Generated XML report: test-reports/python-unittest/nn.test_module_hooks/TEST-TestModuleHooks-20221123023051.xml
2022-11-23T02:30:54.1049532Z 
2022-11-23T02:30:54.1049863Z ##[endgroup]
2022-11-23T02:30:54.1050397Z FINISHED PRINTING LOG FILE of nn/test_module_hooks (/var/lib/jenkins/workspace/test/test-reports/nn-test_module_hooks_aj3t1i36)
2022-11-23T02:30:54.1050708Z 
2022-11-23T02:30:57.4444636Z Ignoring disabled issues:  []
2022-11-23T02:30:57.4823067Z Running test_function_schema ... [2022-11-23 02:30:57.481570]
2022-11-23T02:30:57.4824207Z Executing ['/opt/conda/bin/python', '-bb', 'test_function_schema.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:30:57.482074]
2022-11-23T02:31:02.8227164Z 
2022-11-23T02:31:02.8227878Z Expand the folded group to see the log file of test_function_schema
2022-11-23T02:31:02.8228959Z ##[group]PRINTING LOG FILE of test_function_schema (/var/lib/jenkins/workspace/test/test-reports/test_function_schema_p0_pdjqz)
2022-11-23T02:31:02.8229517Z 
2022-11-23T02:31:02.8229712Z Running tests...
2022-11-23T02:31:02.8230257Z ----------------------------------------------------------------------
2022-11-23T02:31:02.8230841Z Test results will be stored in test-reports/python-unittest/test_function_schema
2022-11-23T02:31:02.8232073Z   test_backward_compatible_arguments (__main__.TestFunctionSchema) ... ok (1.977s)
2022-11-23T02:31:02.8232732Z   test_backward_compatible_outputs (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T02:31:02.8233649Z   test_backward_compatible_structure (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T02:31:02.8234383Z   test_backward_compatible_with_smart_serialization (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T02:31:02.8234861Z   test_forward_compatible_arguments_real_use_case (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T02:31:02.8235342Z   test_forward_compatible_arguments_with_out (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T02:31:02.8235807Z   test_forward_compatible_arguments_without_out (__main__.TestFunctionSchema) ... ok (0.002s)
2022-11-23T02:31:02.8236224Z   test_out_schema (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T02:31:02.8236576Z   test_schema_error (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T02:31:02.8237037Z   test_serialize_and_deserialize (__main__.TestFunctionSchema) ... ok (0.381s)
2022-11-23T02:31:02.8237478Z   test_string_optional_parameter_default_value (__main__.TestFunctionSchema) ... ok (0.002s)
2022-11-23T02:31:02.8237937Z   test_tensor_list_alias_annotation_properly_parsed (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T02:31:02.8238384Z   test_tensor_option_arguments_properly_parsed (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T02:31:02.8238594Z 
2022-11-23T02:31:02.8238937Z ----------------------------------------------------------------------
2022-11-23T02:31:02.8239273Z Ran 13 tests in 2.375s
2022-11-23T02:31:02.8239436Z 
2022-11-23T02:31:02.8239529Z OK
2022-11-23T02:31:02.8239644Z 
2022-11-23T02:31:02.8239768Z Generating XML reports...
2022-11-23T02:31:02.8240355Z Generated XML report: test-reports/python-unittest/test_function_schema/TEST-TestFunctionSchema-20221123023059.xml
2022-11-23T02:31:02.8240685Z 
2022-11-23T02:31:02.8241172Z ##[endgroup]
2022-11-23T02:31:02.8241694Z FINISHED PRINTING LOG FILE of test_function_schema (/var/lib/jenkins/workspace/test/test-reports/test_function_schema_p0_pdjqz)
2022-11-23T02:31:02.8241999Z 
2022-11-23T02:31:06.1646747Z Ignoring disabled issues:  []
2022-11-23T02:31:06.2025032Z Running dynamo/test_nops ... [2022-11-23 02:31:06.201792]
2022-11-23T02:31:06.2026166Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_nops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:31:06.202269]
2022-11-23T02:31:11.4120261Z 
2022-11-23T02:31:11.4121108Z Expand the folded group to see the log file of dynamo/test_nops
2022-11-23T02:31:11.4123393Z ##[group]PRINTING LOG FILE of dynamo/test_nops (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_nops_roa4uy0i)
2022-11-23T02:31:11.4123713Z 
2022-11-23T02:31:11.4123826Z Running tests...
2022-11-23T02:31:11.4124385Z ----------------------------------------------------------------------
2022-11-23T02:31:11.4124897Z Test results will be stored in test-reports/python-unittest/dynamo.test_nops
2022-11-23T02:31:11.4125274Z   test1 (__main__.NopTests) ... ok (1.993s)
2022-11-23T02:31:11.4125577Z   test2 (__main__.NopTests) ... ok (0.004s)
2022-11-23T02:31:11.4125865Z   test3 (__main__.NopTests) ... ok (0.003s)
2022-11-23T02:31:11.4126169Z   test_extended_args (__main__.NopTests) ... ok (0.049s)
2022-11-23T02:31:11.4126371Z 
2022-11-23T02:31:11.4126635Z ----------------------------------------------------------------------
2022-11-23T02:31:11.4126965Z Ran 4 tests in 2.050s
2022-11-23T02:31:11.4127124Z 
2022-11-23T02:31:11.4127199Z OK
2022-11-23T02:31:11.4127337Z 
2022-11-23T02:31:11.4127458Z Generating XML reports...
2022-11-23T02:31:11.4127993Z Generated XML report: test-reports/python-unittest/dynamo.test_nops/TEST-NopTests-20221123023108.xml
2022-11-23T02:31:11.4128287Z 
2022-11-23T02:31:11.4128595Z ##[endgroup]
2022-11-23T02:31:11.4129110Z FINISHED PRINTING LOG FILE of dynamo/test_nops (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_nops_roa4uy0i)
2022-11-23T02:31:11.4129573Z 
2022-11-23T02:31:14.7508852Z Ignoring disabled issues:  []
2022-11-23T02:31:14.7892803Z Running test_type_info ... [2022-11-23 02:31:14.788514]
2022-11-23T02:31:14.7893625Z Executing ['/opt/conda/bin/python', '-bb', 'test_type_info.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:31:14.789009]
2022-11-23T02:31:19.8362323Z 
2022-11-23T02:31:19.8363133Z Expand the folded group to see the log file of test_type_info
2022-11-23T02:31:19.8364346Z ##[group]PRINTING LOG FILE of test_type_info (/var/lib/jenkins/workspace/test/test-reports/test_type_info_0jeyym3s)
2022-11-23T02:31:19.8364716Z 
2022-11-23T02:31:19.8364834Z Running tests...
2022-11-23T02:31:19.8365591Z ----------------------------------------------------------------------
2022-11-23T02:31:19.8366096Z Test results will be stored in test-reports/python-unittest/test_type_info
2022-11-23T02:31:19.8366548Z   test_finfo (__main__.TestDTypeInfo) ... ok (2.017s)
2022-11-23T02:31:19.8367097Z   test_iinfo (__main__.TestDTypeInfo) ... ok (0.003s)
2022-11-23T02:31:19.8367429Z   test_invalid_input (__main__.TestDTypeInfo) ... ok (0.001s)
2022-11-23T02:31:19.8367642Z 
2022-11-23T02:31:19.8368043Z ----------------------------------------------------------------------
2022-11-23T02:31:19.8368521Z Ran 3 tests in 2.022s
2022-11-23T02:31:19.8368785Z 
2022-11-23T02:31:19.8368929Z OK
2022-11-23T02:31:19.8369120Z 
2022-11-23T02:31:19.8369319Z Generating XML reports...
2022-11-23T02:31:19.8370278Z Generated XML report: test-reports/python-unittest/test_type_info/TEST-TestDTypeInfo-20221123023117.xml
2022-11-23T02:31:19.8370812Z 
2022-11-23T02:31:19.8371128Z ##[endgroup]
2022-11-23T02:31:19.8371626Z FINISHED PRINTING LOG FILE of test_type_info (/var/lib/jenkins/workspace/test/test-reports/test_type_info_0jeyym3s)
2022-11-23T02:31:19.8371923Z 
2022-11-23T02:31:23.1679779Z Ignoring disabled issues:  []
2022-11-23T02:31:23.2058072Z Running test_native_functions ... [2022-11-23 02:31:23.205119]
2022-11-23T02:31:23.2059947Z Executing ['/opt/conda/bin/python', '-bb', 'test_native_functions.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:31:23.205656]
2022-11-23T02:31:28.3778641Z 
2022-11-23T02:31:28.3779659Z Expand the folded group to see the log file of test_native_functions
2022-11-23T02:31:28.3780662Z ##[group]PRINTING LOG FILE of test_native_functions (/var/lib/jenkins/workspace/test/test-reports/test_native_functions_nnvy7l7k)
2022-11-23T02:31:28.3780978Z 
2022-11-23T02:31:28.3781096Z Running tests...
2022-11-23T02:31:28.3781653Z ----------------------------------------------------------------------
2022-11-23T02:31:28.3782555Z Test results will be stored in test-reports/python-unittest/test_native_functions
2022-11-23T02:31:28.3782979Z   test_intlist_error_with_overload (__main__.TestNativeFunctions) ... ok (2.001s)
2022-11-23T02:31:28.3783925Z   test_optional_filled_intlist (__main__.TestNativeFunctions) ... pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2022-11-23T02:31:28.3785606Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2
2022-11-23T02:31:28.3786786Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2022-11-23T02:31:28.3787319Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2022-11-23T02:31:28.3787847Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2
2022-11-23T02:31:28.3788384Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2022-11-23T02:31:28.3788861Z pad(): argument 'pad' (position 2) must be tuple of ints, not str
2022-11-23T02:31:28.3789169Z ok (0.086s)
2022-11-23T02:31:28.3789495Z   test_optional_floatlist (__main__.TestNativeFunctions) ... ok (0.018s)
2022-11-23T02:31:28.3789975Z   test_optional_floatlist_invalid (__main__.TestNativeFunctions) ... ok (0.012s)
2022-11-23T02:31:28.3790522Z   test_optional_intlist (__main__.TestNativeFunctions) ... ok (0.016s)
2022-11-23T02:31:28.3790947Z   test_optional_intlist_invalid (__main__.TestNativeFunctions) ... ok (0.012s)
2022-11-23T02:31:28.3791353Z   test_string_defaults (__main__.TestNativeFunctions) ... ok (0.009s)
2022-11-23T02:31:28.3792005Z   test_symintlist_error (__main__.TestNativeFunctions) ... pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2022-11-23T02:31:28.3792580Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2
2022-11-23T02:31:28.3793128Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2022-11-23T02:31:28.3793681Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2022-11-23T02:31:28.3794206Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2
2022-11-23T02:31:28.3794723Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2022-11-23T02:31:28.3795211Z pad(): argument 'pad' (position 2) must be tuple of ints, not str
2022-11-23T02:31:28.3795514Z ok (0.001s)
2022-11-23T02:31:28.3796080Z   test_symintlist_error_with_overload (__main__.TestNativeFunctions) ... view() received an invalid combination of arguments - got (tuple), but expected one of:
2022-11-23T02:31:28.3796515Z  * (torch.dtype dtype)
2022-11-23T02:31:28.3796953Z       didn't match because some of the arguments have invalid types: (!tuple of (str,)!)
2022-11-23T02:31:28.3797295Z  * (tuple of ints size)
2022-11-23T02:31:28.3797707Z       didn't match because some of the arguments have invalid types: (!tuple of (str,)!)
2022-11-23T02:31:28.3797961Z 
2022-11-23T02:31:28.3798254Z view(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2022-11-23T02:31:28.3798778Z view() received an invalid combination of arguments - got (tuple), but expected one of:
2022-11-23T02:31:28.3799108Z  * (torch.dtype dtype)
2022-11-23T02:31:28.3799554Z       didn't match because some of the arguments have invalid types: (!tuple of (str, int)!)
2022-11-23T02:31:28.3799903Z  * (tuple of ints size)
2022-11-23T02:31:28.3800328Z       didn't match because some of the arguments have invalid types: (!tuple of (str, int)!)
2022-11-23T02:31:28.3800585Z 
2022-11-23T02:31:28.3800885Z view() received an invalid combination of arguments - got (list), but expected one of:
2022-11-23T02:31:28.3801230Z  * (torch.dtype dtype)
2022-11-23T02:31:28.3801662Z       didn't match because some of the arguments have invalid types: (!list of [str]!)
2022-11-23T02:31:28.3802083Z  * (tuple of ints size)
2022-11-23T02:31:28.3802511Z       didn't match because some of the arguments have invalid types: (!list of [str]!)
2022-11-23T02:31:28.3802754Z 
2022-11-23T02:31:28.3803047Z view(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2022-11-23T02:31:28.3803549Z view() received an invalid combination of arguments - got (list), but expected one of:
2022-11-23T02:31:28.3803965Z  * (torch.dtype dtype)
2022-11-23T02:31:28.3804411Z       didn't match because some of the arguments have invalid types: (!list of [str, int]!)
2022-11-23T02:31:28.3804755Z  * (tuple of ints size)
2022-11-23T02:31:28.3805176Z       didn't match because some of the arguments have invalid types: (!list of [str, int]!)
2022-11-23T02:31:28.3805431Z 
2022-11-23T02:31:28.3805725Z view() received an invalid combination of arguments - got (str), but expected one of:
2022-11-23T02:31:28.3806071Z  * (torch.dtype dtype)
2022-11-23T02:31:28.3806471Z       didn't match because some of the arguments have invalid types: (!str!)
2022-11-23T02:31:28.3806809Z  * (tuple of ints size)
2022-11-23T02:31:28.3807219Z       didn't match because some of the arguments have invalid types: (!str!)
2022-11-23T02:31:28.3807458Z 
2022-11-23T02:31:28.3807561Z ok (0.002s)
2022-11-23T02:31:28.3808255Z   test_symintlist_error_with_overload_but_is_unique (__main__.TestNativeFunctions) ... set_() received an invalid combination of arguments - got (Tensor, int, tuple), but expected one of:
2022-11-23T02:31:28.3808715Z  * ()
2022-11-23T02:31:28.3808954Z  * (torch.Storage source)
2022-11-23T02:31:28.3809303Z  * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T02:31:28.3809638Z  * (Tensor source)
2022-11-23T02:31:28.3809975Z  * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T02:31:28.3810217Z 
2022-11-23T02:31:28.3810503Z set_(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2022-11-23T02:31:28.3811064Z set_() received an invalid combination of arguments - got (Tensor, int, tuple), but expected one of:
2022-11-23T02:31:28.3811419Z  * ()
2022-11-23T02:31:28.3811652Z  * (torch.Storage source)
2022-11-23T02:31:28.3811991Z  * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T02:31:28.3812325Z  * (Tensor source)
2022-11-23T02:31:28.3812666Z  * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T02:31:28.3812907Z 
2022-11-23T02:31:28.3813222Z set_() received an invalid combination of arguments - got (Tensor, int, list), but expected one of:
2022-11-23T02:31:28.3813560Z  * ()
2022-11-23T02:31:28.3813795Z  * (torch.Storage source)
2022-11-23T02:31:28.3814133Z  * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T02:31:28.3814466Z  * (Tensor source)
2022-11-23T02:31:28.3814798Z  * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T02:31:28.3815033Z 
2022-11-23T02:31:28.3815342Z set_(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2022-11-23T02:31:28.3815879Z set_() received an invalid combination of arguments - got (Tensor, int, list), but expected one of:
2022-11-23T02:31:28.3816523Z  * ()
2022-11-23T02:31:28.3816786Z  * (torch.Storage source)
2022-11-23T02:31:28.3817109Z  * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T02:31:28.3817452Z  * (Tensor source)
2022-11-23T02:31:28.3817783Z  * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T02:31:28.3818016Z 
2022-11-23T02:31:28.3818348Z set_() received an invalid combination of arguments - got (Tensor, int, str), but expected one of:
2022-11-23T02:31:28.3818671Z  * ()
2022-11-23T02:31:28.3818901Z  * (torch.Storage source)
2022-11-23T02:31:28.3819257Z  * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T02:31:28.3819571Z  * (Tensor source)
2022-11-23T02:31:28.3820072Z  * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T02:31:28.3820302Z 
2022-11-23T02:31:28.3820403Z ok (0.002s)
2022-11-23T02:31:28.3820973Z   test_vararg_symintlist_error (__main__.TestNativeFunctions) ... rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2022-11-23T02:31:28.3821586Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2022-11-23T02:31:28.3822133Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2022-11-23T02:31:28.3822686Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2022-11-23T02:31:28.3823193Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2022-11-23T02:31:28.3823731Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2022-11-23T02:31:28.3824280Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2022-11-23T02:31:28.3824839Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2022-11-23T02:31:28.3825340Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2022-11-23T02:31:28.3825951Z rand() received an invalid combination of arguments - got (str, int), but expected one of:
2022-11-23T02:31:28.3826541Z  * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T02:31:28.3827186Z  * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T02:31:28.3827786Z  * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T02:31:28.3828376Z  * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T02:31:28.3828694Z 
2022-11-23T02:31:28.3829020Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2022-11-23T02:31:28.3829554Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2022-11-23T02:31:28.3830068Z rand() received an invalid combination of arguments - got (str, int), but expected one of:
2022-11-23T02:31:28.3830640Z  * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T02:31:28.3831293Z  * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T02:31:28.3831901Z  * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T02:31:28.3832464Z  * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T02:31:28.3832784Z 
2022-11-23T02:31:28.3833111Z rand() received an invalid combination of arguments - got (str, str, str), but expected one of:
2022-11-23T02:31:28.3833689Z  * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T02:31:28.3834335Z  * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T02:31:28.3834914Z  * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T02:31:28.3835488Z  * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T02:31:28.3835892Z 
2022-11-23T02:31:28.3835994Z ok (0.002s)
2022-11-23T02:31:28.3836143Z 
2022-11-23T02:31:28.3836423Z ----------------------------------------------------------------------
2022-11-23T02:31:28.3836739Z Ran 11 tests in 2.163s
2022-11-23T02:31:28.3836900Z 
2022-11-23T02:31:28.3836996Z OK
2022-11-23T02:31:28.3837128Z 
2022-11-23T02:31:28.3837254Z Generating XML reports...
2022-11-23T02:31:28.3837885Z Generated XML report: test-reports/python-unittest/test_native_functions/TEST-TestNativeFunctions-20221123023125.xml
2022-11-23T02:31:28.3838222Z 
2022-11-23T02:31:28.3838721Z ##[endgroup]
2022-11-23T02:31:28.3839260Z FINISHED PRINTING LOG FILE of test_native_functions (/var/lib/jenkins/workspace/test/test-reports/test_native_functions_nnvy7l7k)
2022-11-23T02:31:28.3839574Z 
2022-11-23T02:31:31.7009368Z Ignoring disabled issues:  []
2022-11-23T02:31:31.7394868Z Running test_itt ... [2022-11-23 02:31:31.738712]
2022-11-23T02:31:31.7396388Z Executing ['/opt/conda/bin/python', '-bb', 'test_itt.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:31:31.739209]
2022-11-23T02:31:36.7223845Z 
2022-11-23T02:31:36.7226257Z Expand the folded group to see the log file of test_itt
2022-11-23T02:31:36.7228436Z ##[group]PRINTING LOG FILE of test_itt (/var/lib/jenkins/workspace/test/test-reports/test_itt_9azp4jt6)
2022-11-23T02:31:36.7228772Z 
2022-11-23T02:31:36.7228924Z Running tests...
2022-11-23T02:31:36.7229479Z ----------------------------------------------------------------------
2022-11-23T02:31:36.7229942Z Test results will be stored in test-reports/python-unittest/test_itt
2022-11-23T02:31:36.7230343Z   test_itt (__main__.TestItt) ... ok (2.002s)
2022-11-23T02:31:36.7230510Z 
2022-11-23T02:31:36.7230775Z ----------------------------------------------------------------------
2022-11-23T02:31:36.7231066Z Ran 1 test in 2.002s
2022-11-23T02:31:36.7231241Z 
2022-11-23T02:31:36.7231334Z OK
2022-11-23T02:31:36.7231509Z 
2022-11-23T02:31:36.7231580Z Generating XML reports...
2022-11-23T02:31:36.7232096Z Generated XML report: test-reports/python-unittest/test_itt/TEST-TestItt-20221123023133.xml
2022-11-23T02:31:36.7232362Z 
2022-11-23T02:31:36.7232699Z ##[endgroup]
2022-11-23T02:31:36.7233195Z FINISHED PRINTING LOG FILE of test_itt (/var/lib/jenkins/workspace/test/test-reports/test_itt_9azp4jt6)
2022-11-23T02:31:36.7233440Z 
2022-11-23T02:31:40.0437739Z Ignoring disabled issues:  []
2022-11-23T02:31:40.0819514Z Running test_namedtensor ... [2022-11-23 02:31:40.081248]
2022-11-23T02:31:40.0821964Z Executing ['/opt/conda/bin/python', '-bb', 'test_namedtensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:31:40.081742]
2022-11-23T02:31:46.5237592Z 
2022-11-23T02:31:46.5238425Z Expand the folded group to see the log file of test_namedtensor
2022-11-23T02:31:46.5239756Z ##[group]PRINTING LOG FILE of test_namedtensor (/var/lib/jenkins/workspace/test/test-reports/test_namedtensor_78j9wwjh)
2022-11-23T02:31:46.5240480Z 
2022-11-23T02:31:46.5240685Z Running tests...
2022-11-23T02:31:46.5241744Z ----------------------------------------------------------------------
2022-11-23T02:31:46.5242816Z Test results will be stored in test-reports/python-unittest/test_namedtensor
2022-11-23T02:31:46.5243779Z   test_aaa_must_run_first_check_experimental_warning (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T02:31:46.5244745Z   test_addcmul_addcdiv (__main__.TestNamedTensor) ... ok (0.004s)
2022-11-23T02:31:46.5245258Z   test_addmm (__main__.TestNamedTensor) ... ok (0.017s)
2022-11-23T02:31:46.5245614Z   test_addmv (__main__.TestNamedTensor) ... ok (0.004s)
2022-11-23T02:31:46.5245961Z   test_align_as (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T02:31:46.5246352Z   test_align_tensors (__main__.TestNamedTensor) ... skip: Not implemented yet (0.001s)
2022-11-23T02:31:46.5246792Z   test_align_tensors_two_inputs (__main__.TestNamedTensor) ... skip: Not implemented yet (0.004s)
2022-11-23T02:31:46.5247596Z   test_align_to (__main__.TestNamedTensor) ... ok (0.013s)
2022-11-23T02:31:46.5247965Z   test_align_to_ellipsis (__main__.TestNamedTensor) ... ok (0.014s)
2022-11-23T02:31:46.5248308Z   test_any_all (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5248663Z   test_as_strided (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5249035Z   test_as_strided_cuda (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5249401Z   test_autograd_ignores_names (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T02:31:46.5249781Z   test_autograd_smoke (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T02:31:46.5250166Z   test_autograd_warns_named_grad (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5250549Z   test_bernoulli (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T02:31:46.5250907Z   test_big_tensor_repr_has_names (__main__.TestNamedTensor) ... ok (0.026s)
2022-11-23T02:31:46.5251292Z   test_binary_ops (__main__.TestNamedTensor) ... ok (0.426s)
2022-11-23T02:31:46.5251645Z   test_bitwise_not (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T02:31:46.5251971Z   test_bmm (__main__.TestNamedTensor) ... ok (0.047s)
2022-11-23T02:31:46.5252304Z   test_cat (__main__.TestNamedTensor) ... ok (0.019s)
2022-11-23T02:31:46.5252637Z   test_cdist (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T02:31:46.5253126Z   test_comparison_ops (__main__.TestNamedTensor) ... ok (0.011s)
2022-11-23T02:31:46.5253501Z   test_copy_transpose (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T02:31:46.5253867Z   test_cummax_cummin (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T02:31:46.5254222Z   test_detach (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5254555Z   test_diagonal (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T02:31:46.5254954Z   test_dot (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5255296Z   test_equal (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T02:31:46.5255629Z   test_expand (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T02:31:46.5255991Z   test_factory_coverage (__main__.TestNamedTensor) ... ok (0.009s)
2022-11-23T02:31:46.5257179Z   test_factory_edge_cases (__main__.TestNamedTensor) ... ok (0.048s)
2022-11-23T02:31:46.5257844Z   test_flatten (__main__.TestNamedTensor) ... ok (0.014s)
2022-11-23T02:31:46.5258415Z   test_flatten_nodims (__main__.TestNamedTensor) ... ok (0.004s)
2022-11-23T02:31:46.5259144Z   test_has_names (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5259889Z   test_index_fill (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T02:31:46.5261037Z   test_info_smoke (__main__.TestNamedTensor) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T02:31:46.5261687Z   warnings.warn(message, UserWarning)
2022-11-23T02:31:46.5261950Z ok (0.002s)
2022-11-23T02:31:46.5262255Z   test_logcumsumexp (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5262620Z   test_logical_not (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T02:31:46.5262960Z   test_logical_ops (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T02:31:46.5263315Z   test_masked_fill (__main__.TestNamedTensor) ... ok (0.019s)
2022-11-23T02:31:46.5263684Z   test_masked_select (__main__.TestNamedTensor) ... ok (0.009s)
2022-11-23T02:31:46.5264025Z   test_matmul (__main__.TestNamedTensor) ... ok (0.054s)
2022-11-23T02:31:46.5264379Z   test_max_pooling (__main__.TestNamedTensor) ... ok (0.006s)
2022-11-23T02:31:46.5264772Z   test_max_pooling_without_names_does_not_warn (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T02:31:46.5265151Z   test_mm (__main__.TestNamedTensor) ... ok (0.016s)
2022-11-23T02:31:46.5265463Z   test_mv (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T02:31:46.5265819Z   test_no_jit_script_support (__main__.TestNamedTensor) ... ok (0.079s)
2022-11-23T02:31:46.5266396Z   test_no_jit_tracer_support (__main__.TestNamedTensor) ... ok (0.012s)
2022-11-23T02:31:46.5266783Z   test_no_multiprocessing_support (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5267182Z   test_no_pickle_support (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5267564Z   test_no_save_support (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5267934Z   test_noncontig_contiguous (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5268326Z   test_none_names_refcount (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5268715Z   test_nyi_dimname_overload_msg (__main__.TestNamedTensor) ... ok (0.004s)
2022-11-23T02:31:46.5269101Z   test_out_fn_semantics (__main__.TestNamedTensor) ... ok (0.026s)
2022-11-23T02:31:46.5269451Z   test_pow_special (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T02:31:46.5269810Z   test_py3_ellipsis (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5270178Z   test_reduction_fns (__main__.TestNamedTensor) ... ok (0.292s)
2022-11-23T02:31:46.5270522Z   test_refine_names (__main__.TestNamedTensor) ... ok (0.012s)
2022-11-23T02:31:46.5270869Z   test_rename (__main__.TestNamedTensor) ... ok (0.011s)
2022-11-23T02:31:46.5271215Z   test_rename_ (__main__.TestNamedTensor) ... ok (0.008s)
2022-11-23T02:31:46.5271659Z   test_rename_globber (__main__.TestNamedTensor) ... ok (0.004s)
2022-11-23T02:31:46.5272027Z   test_rename_rename_map (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T02:31:46.5272429Z   test_repr (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T02:31:46.5272776Z   test_resize (__main__.TestNamedTensor) ... ok (0.017s)
2022-11-23T02:31:46.5273098Z   test_select (__main__.TestNamedTensor) ... ok (0.005s)
2022-11-23T02:31:46.5273445Z   test_select_cuda (__main__.TestNamedTensor) ... ok (0.005s)
2022-11-23T02:31:46.5273820Z   test_set_names_property (__main__.TestNamedTensor) ... ok (0.007s)
2022-11-23T02:31:46.5274169Z   test_size (__main__.TestNamedTensor) ... ok (0.010s)
2022-11-23T02:31:46.5274541Z   test_split_fns_propagates_names (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T02:31:46.5274916Z   test_squeeze (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5275242Z   test_stride (__main__.TestNamedTensor) ... ok (0.009s)
2022-11-23T02:31:46.5275604Z   test_tensor_from_lists (__main__.TestNamedTensor) ... ok (0.005s)
2022-11-23T02:31:46.5276317Z   test_tensor_from_named_tensor (__main__.TestNamedTensor) ... /var/lib/jenkins/workspace/test/test_namedtensor.py:516: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T02:31:46.5276952Z   tensor = torch.tensor(x)
2022-11-23T02:31:46.5277548Z /var/lib/jenkins/workspace/test/test_namedtensor.py:522: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T02:31:46.5278112Z   tensor = torch.tensor(x, names=None)
2022-11-23T02:31:46.5278719Z /var/lib/jenkins/workspace/test/test_namedtensor.py:527: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T02:31:46.5279403Z   tensor = torch.tensor(x, names=('N', 'C'))
2022-11-23T02:31:46.5279664Z ok (0.004s)
2022-11-23T02:31:46.5279974Z   test_tensor_from_numpy (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5280675Z   test_tensor_from_tensor (__main__.TestNamedTensor) ... /var/lib/jenkins/workspace/test/test_namedtensor.py:511: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T02:31:46.5281410Z   tensor = torch.tensor(x, names=names)
2022-11-23T02:31:46.5281659Z ok (0.001s)
2022-11-23T02:31:46.5281979Z   test_tensor_grad_is_unnamed (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T02:31:46.5282380Z   test_transpose_variants (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T02:31:46.5282749Z   test_trivial (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5283113Z   test_unary_propagate_names_fns (__main__.TestNamedTensor) ... ok (0.060s)
2022-11-23T02:31:46.5283504Z   test_unflatten (__main__.TestNamedTensor) ... ok (0.021s)
2022-11-23T02:31:46.5283881Z   test_unsupported_op_error_msg (__main__.TestNamedTensor) ... ok (0.013s)
2022-11-23T02:31:46.5284303Z   test_using_seen_interned_string_doesnt_bump_refcount (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5284784Z   test_using_unseen_interned_string_bumps_refcount_permanently (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5285251Z   test_using_unseen_uninterned_string_refcounts (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T02:31:46.5285516Z 
2022-11-23T02:31:46.5285811Z ----------------------------------------------------------------------
2022-11-23T02:31:46.5286127Z Ran 86 tests in 1.458s
2022-11-23T02:31:46.5286293Z 
2022-11-23T02:31:46.5286406Z OK (skipped=2)
2022-11-23T02:31:46.5286557Z 
2022-11-23T02:31:46.5286685Z Generating XML reports...
2022-11-23T02:31:46.5287319Z Generated XML report: test-reports/python-unittest/test_namedtensor/TEST-TestNamedTensor-20221123023144.xml
2022-11-23T02:31:46.5287649Z 
2022-11-23T02:31:46.5288160Z ##[endgroup]
2022-11-23T02:31:46.5288697Z FINISHED PRINTING LOG FILE of test_namedtensor (/var/lib/jenkins/workspace/test/test-reports/test_namedtensor_78j9wwjh)
2022-11-23T02:31:46.5289003Z 
2022-11-23T02:31:49.8683253Z Ignoring disabled issues:  []
2022-11-23T02:31:49.9065430Z Running test_module_init ... [2022-11-23 02:31:49.905842]
2022-11-23T02:31:49.9067213Z Executing ['/opt/conda/bin/python', '-bb', 'test_module_init.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:31:49.906292]
2022-11-23T02:32:00.7927641Z 
2022-11-23T02:32:00.7928614Z Expand the folded group to see the log file of test_module_init
2022-11-23T02:32:00.7930001Z ##[group]PRINTING LOG FILE of test_module_init (/var/lib/jenkins/workspace/test/test-reports/test_module_init_jiso5npe)
2022-11-23T02:32:00.7930414Z 
2022-11-23T02:32:00.7930654Z Running tests...
2022-11-23T02:32:00.7931549Z ----------------------------------------------------------------------
2022-11-23T02:32:00.7932361Z Test results will be stored in test-reports/python-unittest/test_module_init
2022-11-23T02:32:00.7933235Z   test_nn_AdaptiveAvgPool1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7934027Z   test_nn_AdaptiveAvgPool1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7934808Z   test_nn_AdaptiveAvgPool2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7935665Z   test_nn_AdaptiveAvgPool2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7936725Z   test_nn_AdaptiveAvgPool3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7937769Z   test_nn_AdaptiveAvgPool3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7938353Z   test_nn_AdaptiveLogSoftmaxWithLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.009s)
2022-11-23T02:32:00.7938840Z   test_nn_AdaptiveLogSoftmaxWithLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.008s)
2022-11-23T02:32:00.7939293Z   test_nn_AdaptiveMaxPool1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7939688Z   test_nn_AdaptiveMaxPool1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7940073Z   test_nn_AdaptiveMaxPool2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7940488Z   test_nn_AdaptiveMaxPool2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7941281Z   test_nn_AdaptiveMaxPool3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7941713Z   test_nn_AdaptiveMaxPool3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7942158Z   test_nn_AlphaDropout_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7942555Z   test_nn_AlphaDropout_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7942979Z   test_nn_AvgPool1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7943534Z   test_nn_AvgPool1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7944055Z   test_nn_AvgPool2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7944442Z   test_nn_AvgPool2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7944839Z   test_nn_AvgPool3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7945241Z   test_nn_AvgPool3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7945636Z   test_nn_BCELoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7946039Z   test_nn_BCELoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7946455Z   test_nn_BCEWithLogitsLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7947104Z   test_nn_BCEWithLogitsLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7947483Z   test_nn_BatchNorm1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.009s)
2022-11-23T02:32:00.7947894Z   test_nn_BatchNorm1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7948373Z   test_nn_BatchNorm2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7948695Z   test_nn_BatchNorm2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7949099Z   test_nn_BatchNorm3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7949566Z   test_nn_BatchNorm3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7949913Z   test_nn_Bilinear_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7950318Z   test_nn_Bilinear_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7950798Z   test_nn_CELU_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7951119Z   test_nn_CELU_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7951501Z   test_nn_CTCLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7951899Z   test_nn_CTCLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7952317Z   test_nn_ChannelShuffle_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7952727Z   test_nn_ChannelShuffle_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7953168Z   test_nn_ConstantPad1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7953602Z   test_nn_ConstantPad1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7954026Z   test_nn_ConstantPad2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7954719Z   test_nn_ConstantPad2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7955147Z   test_nn_ConstantPad3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7955572Z   test_nn_ConstantPad3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7955977Z   test_nn_Conv1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7956359Z   test_nn_Conv1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7956755Z   test_nn_Conv2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7957221Z   test_nn_Conv2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7957647Z   test_nn_Conv3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7958040Z   test_nn_Conv3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7958479Z   test_nn_ConvTranspose1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7958901Z   test_nn_ConvTranspose1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7959321Z   test_nn_ConvTranspose2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7959756Z   test_nn_ConvTranspose2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7960189Z   test_nn_ConvTranspose3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7960600Z   test_nn_ConvTranspose3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7961041Z   test_nn_CosineEmbeddingLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7961492Z   test_nn_CosineEmbeddingLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7961937Z   test_nn_CosineSimilarity_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7962360Z   test_nn_CosineSimilarity_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7962957Z   test_nn_CrossEntropyLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7963470Z   test_nn_CrossEntropyLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7963812Z   test_nn_CrossMapLRN2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7964239Z   test_nn_CrossMapLRN2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7964714Z   test_nn_Dropout1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7965069Z   test_nn_Dropout1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7965461Z   test_nn_Dropout2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7965886Z   test_nn_Dropout2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7966256Z   test_nn_Dropout3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7966645Z   test_nn_Dropout3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7967108Z   test_nn_Dropout_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7967447Z   test_nn_Dropout_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7967836Z   test_nn_ELU_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7968208Z   test_nn_ELU_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7968615Z   test_nn_EmbeddingBag_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7969036Z   test_nn_EmbeddingBag_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7969446Z   test_nn_Embedding_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7969850Z   test_nn_Embedding_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7970291Z   test_nn_FeatureAlphaDropout_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7970753Z   test_nn_FeatureAlphaDropout_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7971177Z   test_nn_Flatten_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7971581Z   test_nn_Flatten_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7971976Z   test_nn_Fold_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7972355Z   test_nn_Fold_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7972774Z   test_nn_FractionalMaxPool2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7973401Z   test_nn_FractionalMaxPool2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7973788Z   test_nn_FractionalMaxPool3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7974220Z   test_nn_FractionalMaxPool3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7974718Z   test_nn_GELU_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7975046Z   test_nn_GELU_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7975423Z   test_nn_GLU_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7975859Z   test_nn_GLU_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7976670Z   test_nn_GRUCell_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7977064Z   test_nn_GRUCell_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7977453Z   test_nn_GRU_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.699s)
2022-11-23T02:32:00.7977846Z   test_nn_GRU_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7978257Z   test_nn_GaussianNLLLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7978676Z   test_nn_GaussianNLLLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7979266Z   test_nn_GroupNorm_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7979732Z   test_nn_GroupNorm_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7980090Z   test_nn_Hardshrink_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7980508Z   test_nn_Hardshrink_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7980975Z   test_nn_Hardsigmoid_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7981345Z   test_nn_Hardsigmoid_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7981745Z   test_nn_Hardswish_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7982222Z   test_nn_Hardswish_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7982562Z   test_nn_Hardtanh_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7982955Z   test_nn_Hardtanh_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7983461Z   test_nn_HingeEmbeddingLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7983841Z   test_nn_HingeEmbeddingLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7984276Z   test_nn_HuberLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7984698Z   test_nn_HuberLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7985068Z   test_nn_Identity_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7985482Z   test_nn_Identity_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7985930Z   test_nn_InstanceNorm1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7986322Z   test_nn_InstanceNorm1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7986759Z   test_nn_InstanceNorm2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7987235Z   test_nn_InstanceNorm2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7987603Z   test_nn_InstanceNorm3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7988028Z   test_nn_InstanceNorm3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7988519Z   test_nn_KLDivLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7988838Z   test_nn_KLDivLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7989392Z   test_nn_L1Loss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7989860Z   test_nn_L1Loss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7990194Z   test_nn_LPPool1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7990591Z   test_nn_LPPool1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7991003Z   test_nn_LPPool2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.7991414Z   test_nn_LPPool2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.7991800Z   test_nn_LSTMCell_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7992273Z   test_nn_LSTMCell_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7992600Z   test_nn_LSTM_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7992995Z   test_nn_LSTM_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7993391Z   test_nn_LayerNorm_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7993796Z   test_nn_LayerNorm_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7995047Z   test_nn_LazyBatchNorm1d_cuda_float32 (__main__.TestModuleInitCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:32:00.7995848Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:32:00.7996193Z ok (0.144s)
2022-11-23T02:32:00.7996488Z   test_nn_LazyBatchNorm1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.130s)
2022-11-23T02:32:00.7996928Z   test_nn_LazyBatchNorm2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.130s)
2022-11-23T02:32:00.7997347Z   test_nn_LazyBatchNorm2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.130s)
2022-11-23T02:32:00.7997792Z   test_nn_LazyBatchNorm3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.131s)
2022-11-23T02:32:00.7998226Z   test_nn_LazyBatchNorm3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.131s)
2022-11-23T02:32:00.7998648Z   test_nn_LazyConv1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7999049Z   test_nn_LazyConv1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.7999451Z   test_nn_LazyConv2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.7999856Z   test_nn_LazyConv2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8000325Z   test_nn_LazyConv3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8000722Z   test_nn_LazyConv3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8001159Z   test_nn_LazyConvTranspose1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8001621Z   test_nn_LazyConvTranspose1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.008s)
2022-11-23T02:32:00.8002058Z   test_nn_LazyConvTranspose2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8002513Z   test_nn_LazyConvTranspose2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8002965Z   test_nn_LazyConvTranspose3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8003446Z   test_nn_LazyConvTranspose3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8003851Z   test_nn_LazyInstanceNorm1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.133s)
2022-11-23T02:32:00.8004299Z   test_nn_LazyInstanceNorm1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.131s)
2022-11-23T02:32:00.8004743Z   test_nn_LazyInstanceNorm2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.130s)
2022-11-23T02:32:00.8005171Z   test_nn_LazyInstanceNorm2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.130s)
2022-11-23T02:32:00.8005727Z   test_nn_LazyInstanceNorm3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.129s)
2022-11-23T02:32:00.8006166Z   test_nn_LazyInstanceNorm3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.131s)
2022-11-23T02:32:00.8006570Z   test_nn_LazyLinear_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8006987Z   test_nn_LazyLinear_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8007399Z   test_nn_LeakyReLU_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8007804Z   test_nn_LeakyReLU_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8008191Z   test_nn_Linear_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8008589Z   test_nn_Linear_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8009010Z   test_nn_LocalResponseNorm_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8009445Z   test_nn_LocalResponseNorm_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8009876Z   test_nn_LogSigmoid_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8010291Z   test_nn_LogSigmoid_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8010775Z   test_nn_LogSoftmax_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8011178Z   test_nn_LogSoftmax_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8011580Z   test_nn_MSELoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8011981Z   test_nn_MSELoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8012414Z   test_nn_MarginRankingLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8012854Z   test_nn_MarginRankingLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8013287Z   test_nn_MaxPool1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8013712Z   test_nn_MaxPool1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8014106Z   test_nn_MaxPool2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8014500Z   test_nn_MaxPool2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8014907Z   test_nn_MaxPool3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8015297Z   test_nn_MaxPool3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8015709Z   test_nn_MaxUnpool1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8016397Z   test_nn_MaxUnpool1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8016821Z   test_nn_MaxUnpool2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8017254Z   test_nn_MaxUnpool2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8017630Z   test_nn_MaxUnpool3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8018039Z   test_nn_MaxUnpool3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8018425Z   test_nn_Mish_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8018820Z   test_nn_Mish_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8019232Z   test_nn_ModuleDict_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8019637Z   test_nn_ModuleDict_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8020029Z   test_nn_ModuleList_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8020428Z   test_nn_ModuleList_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8021076Z   test_nn_MultiLabelMarginLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8021742Z   test_nn_MultiLabelMarginLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8022294Z   test_nn_MultiLabelSoftMarginLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8023073Z   test_nn_MultiLabelSoftMarginLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8043340Z   test_nn_MultiMarginLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8043898Z   test_nn_MultiMarginLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8044264Z   test_nn_MultiheadAttention_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8044724Z   test_nn_MultiheadAttention_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8045173Z   test_nn_NLLLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8045578Z   test_nn_NLLLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8045998Z   test_nn_PReLU_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8046409Z   test_nn_PReLU_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8046835Z   test_nn_PairwiseDistance_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8047661Z   test_nn_PairwiseDistance_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8048119Z   test_nn_ParameterDict_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8048552Z   test_nn_ParameterDict_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8048990Z   test_nn_ParameterList_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8049397Z   test_nn_ParameterList_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8049829Z   test_nn_PixelShuffle_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8050265Z   test_nn_PixelShuffle_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8050725Z   test_nn_PixelUnshuffle_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8051140Z   test_nn_PixelUnshuffle_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8051588Z   test_nn_PoissonNLLLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8052040Z   test_nn_PoissonNLLLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8052447Z   test_nn_RNNBase_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8052860Z   test_nn_RNNBase_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8053275Z   test_nn_RNNCellBase_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.008s)
2022-11-23T02:32:00.8053708Z   test_nn_RNNCellBase_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8054102Z   test_nn_RNNCell_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8054517Z   test_nn_RNNCell_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8054916Z   test_nn_RNN_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8055289Z   test_nn_RNN_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8055699Z   test_nn_RReLU_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8056432Z   test_nn_RReLU_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8056854Z   test_nn_ReLU6_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8057245Z   test_nn_ReLU6_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8057593Z   test_nn_ReLU_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8057988Z   test_nn_ReLU_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8058389Z   test_nn_ReflectionPad1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8059109Z   test_nn_ReflectionPad1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8059558Z   test_nn_ReflectionPad2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8059969Z   test_nn_ReflectionPad2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8060406Z   test_nn_ReflectionPad3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8060849Z   test_nn_ReflectionPad3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8061298Z   test_nn_ReplicationPad1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8061721Z   test_nn_ReplicationPad1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8062169Z   test_nn_ReplicationPad2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8062606Z   test_nn_ReplicationPad2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8063027Z   test_nn_ReplicationPad3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8063454Z   test_nn_ReplicationPad3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8063879Z   test_nn_SELU_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8064438Z   test_nn_SELU_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8064840Z   test_nn_Sequential_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8065256Z   test_nn_Sequential_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8065664Z   test_nn_SiLU_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8066041Z   test_nn_SiLU_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8066441Z   test_nn_Sigmoid_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8066859Z   test_nn_Sigmoid_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8067274Z   test_nn_SmoothL1Loss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8067681Z   test_nn_SmoothL1Loss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8068120Z   test_nn_SoftMarginLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8068564Z   test_nn_SoftMarginLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8068976Z   test_nn_Softmax2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8069393Z   test_nn_Softmax2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8069803Z   test_nn_Softmax_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8070213Z   test_nn_Softmax_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8070605Z   test_nn_Softmin_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8071012Z   test_nn_Softmin_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8071429Z   test_nn_Softplus_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8071823Z   test_nn_Softplus_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8072243Z   test_nn_Softshrink_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8072663Z   test_nn_Softshrink_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8073077Z   test_nn_Softsign_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8073467Z   test_nn_Softsign_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8073892Z   test_nn_SyncBatchNorm_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.008s)
2022-11-23T02:32:00.8074318Z   test_nn_SyncBatchNorm_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8074910Z   test_nn_Tanh_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8075314Z   test_nn_Tanh_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8075744Z   test_nn_Tanhshrink_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8076174Z   test_nn_Tanhshrink_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8076575Z   test_nn_Threshold_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8076998Z   test_nn_Threshold_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8077451Z   test_nn_TransformerDecoderLayer_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.011s)
2022-11-23T02:32:00.8077912Z   test_nn_TransformerDecoderLayer_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.011s)
2022-11-23T02:32:00.8078380Z   test_nn_TransformerDecoder_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.012s)
2022-11-23T02:32:00.8078846Z   test_nn_TransformerDecoder_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.012s)
2022-11-23T02:32:00.8079303Z   test_nn_TransformerEncoderLayer_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.010s)
2022-11-23T02:32:00.8079765Z   test_nn_TransformerEncoderLayer_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.012s)
2022-11-23T02:32:00.8080316Z   test_nn_TransformerEncoder_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.010s)
2022-11-23T02:32:00.8080792Z   test_nn_TransformerEncoder_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.010s)
2022-11-23T02:32:00.8081211Z   test_nn_Transformer_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.502s)
2022-11-23T02:32:00.8081648Z   test_nn_Transformer_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.502s)
2022-11-23T02:32:00.8082085Z   test_nn_TripletMarginLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8082535Z   test_nn_TripletMarginLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8083009Z   test_nn_TripletMarginWithDistanceLoss_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8083532Z   test_nn_TripletMarginWithDistanceLoss_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8084071Z   test_nn_Unflatten_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8084480Z   test_nn_Unflatten_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8084900Z   test_nn_Unfold_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8085311Z   test_nn_Unfold_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8085723Z   test_nn_Upsample_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8086117Z   test_nn_Upsample_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8086565Z   test_nn_UpsamplingBilinear2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8087034Z   test_nn_UpsamplingBilinear2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8087480Z   test_nn_UpsamplingNearest2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8087943Z   test_nn_UpsamplingNearest2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8088393Z   test_nn_ZeroPad2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8088825Z   test_nn_ZeroPad2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8089220Z   test_qat_Conv1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.008s)
2022-11-23T02:32:00.8089646Z   test_qat_Conv1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.008s)
2022-11-23T02:32:00.8090054Z   test_qat_Conv2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.008s)
2022-11-23T02:32:00.8090433Z   test_qat_Conv2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.010s)
2022-11-23T02:32:00.8090947Z   test_qat_Conv3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.008s)
2022-11-23T02:32:00.8091353Z   test_qat_Conv3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.008s)
2022-11-23T02:32:00.8091774Z   test_qat_EmbeddingBag_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8092188Z   test_qat_EmbeddingBag_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8092636Z   test_qat_Embedding_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.008s)
2022-11-23T02:32:00.8093059Z   test_qat_Embedding_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8093453Z   test_qat_Linear_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8093865Z   test_qat_Linear_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8094290Z   test_quantizable_LSTMCell_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8094729Z   test_quantizable_LSTMCell_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8095159Z   test_quantizable_LSTM_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8095579Z   test_quantizable_LSTM_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.010s)
2022-11-23T02:32:00.8096327Z   test_quantizable_MultiheadAttention_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.009s)
2022-11-23T02:32:00.8096956Z   test_quantizable_MultiheadAttention_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.009s)
2022-11-23T02:32:00.8097434Z   test_quantized_BatchNorm2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8097878Z   test_quantized_BatchNorm2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8098326Z   test_quantized_BatchNorm3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.008s)
2022-11-23T02:32:00.8098754Z   test_quantized_BatchNorm3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.008s)
2022-11-23T02:32:00.8099202Z   test_quantized_Conv1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8099627Z   test_quantized_Conv1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8100046Z   test_quantized_Conv2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8100491Z   test_quantized_Conv2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8100912Z   test_quantized_Conv3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8101326Z   test_quantized_Conv3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8101754Z   test_quantized_ConvTranspose1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8102217Z   test_quantized_ConvTranspose1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8102672Z   test_quantized_ConvTranspose2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8103122Z   test_quantized_ConvTranspose2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8103546Z   test_quantized_ConvTranspose3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8104009Z   test_quantized_ConvTranspose3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8104460Z   test_quantized_DeQuantize_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8104884Z   test_quantized_DeQuantize_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8105326Z   test_quantized_Dropout_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8105753Z   test_quantized_Dropout_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8106180Z   test_quantized_ELU_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8106579Z   test_quantized_ELU_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8107169Z   test_quantized_FXFloatFunctional_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8107644Z   test_quantized_FXFloatFunctional_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8108087Z   test_quantized_FloatFunctional_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8108548Z   test_quantized_FloatFunctional_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8109105Z   test_quantized_GroupNorm_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8109550Z   test_quantized_GroupNorm_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8109968Z   test_quantized_Hardswish_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8110409Z   test_quantized_Hardswish_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8110858Z   test_quantized_InstanceNorm1d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8111300Z   test_quantized_InstanceNorm1d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8111746Z   test_quantized_InstanceNorm2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8112210Z   test_quantized_InstanceNorm2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8112731Z   test_quantized_InstanceNorm3d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8113178Z   test_quantized_InstanceNorm3d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.008s)
2022-11-23T02:32:00.8113629Z   test_quantized_LayerNorm_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8114067Z   test_quantized_LayerNorm_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.007s)
2022-11-23T02:32:00.8114494Z   test_quantized_LeakyReLU_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8114909Z   test_quantized_LeakyReLU_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8115342Z   test_quantized_Linear_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8115769Z   test_quantized_Linear_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8116191Z   test_quantized_MaxPool2d_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8116632Z   test_quantized_MaxPool2d_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8117072Z   test_quantized_PReLU_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8117511Z   test_quantized_PReLU_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8117930Z   test_quantized_QFunctional_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8118376Z   test_quantized_QFunctional_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8118834Z   test_quantized_Quantize_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8119256Z   test_quantized_Quantize_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.006s)
2022-11-23T02:32:00.8119694Z   test_quantized_ReLU6_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8120124Z   test_quantized_ReLU6_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8120582Z   test_quantized_Sigmoid_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8121000Z   test_quantized_Sigmoid_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8121425Z   test_quantized_Softmax_cuda_float32 (__main__.TestModuleInitCUDA) ... ok (0.005s)
2022-11-23T02:32:00.8121858Z   test_quantized_Softmax_cuda_float64 (__main__.TestModuleInitCUDA) ... ok (0.004s)
2022-11-23T02:32:00.8122106Z 
2022-11-23T02:32:00.8122537Z ----------------------------------------------------------------------
2022-11-23T02:32:00.8122988Z Ran 376 tests in 5.371s
2022-11-23T02:32:00.8123157Z 
2022-11-23T02:32:00.8123254Z OK
2022-11-23T02:32:00.8123390Z 
2022-11-23T02:32:00.8123524Z Generating XML reports...
2022-11-23T02:32:00.8124104Z Generated XML report: test-reports/python-unittest/test_module_init/TEST-TestModuleInitCUDA-20221123023154.xml
2022-11-23T02:32:00.8124433Z 
2022-11-23T02:32:00.8125001Z ##[endgroup]
2022-11-23T02:32:00.8125521Z FINISHED PRINTING LOG FILE of test_module_init (/var/lib/jenkins/workspace/test/test-reports/test_module_init_jiso5npe)
2022-11-23T02:32:00.8125801Z 
2022-11-23T02:32:04.1695688Z Ignoring disabled issues:  []
2022-11-23T02:32:04.2084059Z Running nn/test_dropout ... [2022-11-23 02:32:04.207707]
2022-11-23T02:32:04.2085405Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_dropout.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:32:04.208172]
2022-11-23T02:32:10.0065441Z 
2022-11-23T02:32:10.0066153Z Expand the folded group to see the log file of nn/test_dropout
2022-11-23T02:32:10.0067890Z ##[group]PRINTING LOG FILE of nn/test_dropout (/var/lib/jenkins/workspace/test/test-reports/nn-test_dropout_shddk_9f)
2022-11-23T02:32:10.0068456Z 
2022-11-23T02:32:10.0068647Z Running tests...
2022-11-23T02:32:10.0069683Z ----------------------------------------------------------------------
2022-11-23T02:32:10.0070709Z Test results will be stored in test-reports/python-unittest/nn.test_dropout
2022-11-23T02:32:10.0071165Z   test_AlphaDropout (__main__.TestDropoutNN) ... ok (0.004s)
2022-11-23T02:32:10.0071542Z   test_FeatureAlphaDropout (__main__.TestDropoutNN) ... ok (0.077s)
2022-11-23T02:32:10.0071949Z   test_invalid_dropout_p (__main__.TestDropoutNN) ... ok (0.002s)
2022-11-23T02:32:10.0072341Z   test_native_dropout_corner_case (__main__.TestDropoutNN) ... ok (0.006s)
2022-11-23T02:32:10.0072747Z   test_Dropout1d_cuda (__main__.TestDropoutNNDeviceTypeCUDA) ... ok (0.024s)
2022-11-23T02:32:10.0073193Z   test_Dropout2d_cuda (__main__.TestDropoutNNDeviceTypeCUDA) ... ok (0.034s)
2022-11-23T02:32:10.0073648Z   test_Dropout3d_cuda (__main__.TestDropoutNNDeviceTypeCUDA) ... ok (0.030s)
2022-11-23T02:32:10.0074090Z   test_Dropout_cuda (__main__.TestDropoutNNDeviceTypeCUDA) ... ok (0.575s)
2022-11-23T02:32:10.0074546Z   test_empty_dropout_cuda (__main__.TestDropoutNNDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T02:32:10.0074805Z 
2022-11-23T02:32:10.0075109Z ----------------------------------------------------------------------
2022-11-23T02:32:10.0075454Z Ran 9 tests in 0.757s
2022-11-23T02:32:10.0075624Z 
2022-11-23T02:32:10.0075699Z OK
2022-11-23T02:32:10.0075840Z 
2022-11-23T02:32:10.0075988Z Generating XML reports...
2022-11-23T02:32:10.0076548Z Generated XML report: test-reports/python-unittest/nn.test_dropout/TEST-TestDropoutNN-20221123023208.xml
2022-11-23T02:32:10.0077283Z Generated XML report: test-reports/python-unittest/nn.test_dropout/TEST-TestDropoutNNDeviceTypeCUDA-20221123023208.xml
2022-11-23T02:32:10.0077639Z 
2022-11-23T02:32:10.0078063Z ##[endgroup]
2022-11-23T02:32:10.0078596Z FINISHED PRINTING LOG FILE of nn/test_dropout (/var/lib/jenkins/workspace/test/test-reports/nn-test_dropout_shddk_9f)
2022-11-23T02:32:10.0078904Z 
2022-11-23T02:32:13.3556935Z Ignoring disabled issues:  []
2022-11-23T02:32:13.3940377Z Running test_native_mha ... [2022-11-23 02:32:13.393303]
2022-11-23T02:32:13.3942173Z Executing ['/opt/conda/bin/python', '-bb', 'test_native_mha.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:32:13.393862]
2022-11-23T02:32:19.5832803Z 
2022-11-23T02:32:19.5833697Z Expand the folded group to see the log file of test_native_mha
2022-11-23T02:32:19.5835340Z ##[group]PRINTING LOG FILE of test_native_mha (/var/lib/jenkins/workspace/test/test-reports/test_native_mha_02sbva2e)
2022-11-23T02:32:19.5835924Z 
2022-11-23T02:32:19.5836134Z Running tests...
2022-11-23T02:32:19.5836905Z ----------------------------------------------------------------------
2022-11-23T02:32:19.5837648Z Test results will be stored in test-reports/python-unittest/test_native_mha
2022-11-23T02:32:19.5839126Z   test_native_multihead_attention_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.494s)
2022-11-23T02:32:19.5839980Z   test_native_multihead_attention_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.006s)
2022-11-23T02:32:19.5840894Z   test_native_multihead_encoder_decoder_attention_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.006s)
2022-11-23T02:32:19.5841638Z   test_native_multihead_encoder_decoder_attention_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.006s)
2022-11-23T02:32:19.5842305Z   test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:32:19.5843040Z   test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:32:19.5843789Z   test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:32:19.5844689Z   test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:32:19.5845460Z   test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:32:19.5846235Z   test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:32:19.5846966Z   test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:32:19.5847682Z   test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:32:19.5848422Z   test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.012s)
2022-11-23T02:32:19.5849168Z   test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:32:19.5849901Z   test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.012s)
2022-11-23T02:32:19.5850631Z   test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:32:19.5851348Z   test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:32:19.5852087Z   test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:32:19.5853007Z   test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.012s)
2022-11-23T02:32:19.5853739Z   test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:32:19.5854570Z   test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.015s)
2022-11-23T02:32:19.5855287Z   test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.015s)
2022-11-23T02:32:19.5856500Z   test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.015s)
2022-11-23T02:32:19.5857272Z   test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.015s)
2022-11-23T02:32:19.5858017Z   test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.015s)
2022-11-23T02:32:19.5858864Z   test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.016s)
2022-11-23T02:32:19.5859594Z   test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.015s)
2022-11-23T02:32:19.5860337Z   test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.015s)
2022-11-23T02:32:19.5861414Z   test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_native_mha.py:207: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2022-11-23T02:32:19.5862339Z   q = torch.nested.nested_tensor(qs, device=device, dtype=dtype)
2022-11-23T02:32:19.5862668Z ok (0.030s)
2022-11-23T02:32:19.5863160Z   test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:32:19.5863901Z   test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.012s)
2022-11-23T02:32:19.5864647Z   test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:32:19.5865381Z   test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.012s)
2022-11-23T02:32:19.5866119Z   test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:32:19.5866866Z   test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:32:19.5867571Z   test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.010s)
2022-11-23T02:32:19.5868429Z   test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.012s)
2022-11-23T02:32:19.5869168Z   test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:32:19.5869901Z   test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.012s)
2022-11-23T02:32:19.5870632Z   test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.012s)
2022-11-23T02:32:19.5871339Z   test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.012s)
2022-11-23T02:32:19.5872131Z   test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:32:19.5872865Z   test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.012s)
2022-11-23T02:32:19.5873593Z   test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.011s)
2022-11-23T02:32:19.5874331Z   test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.015s)
2022-11-23T02:32:19.5875054Z   test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.015s)
2022-11-23T02:32:19.5875790Z   test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.017s)
2022-11-23T02:32:19.5876518Z   test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.015s)
2022-11-23T02:32:19.5877246Z   test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.015s)
2022-11-23T02:32:19.5877975Z   test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.015s)
2022-11-23T02:32:19.5878693Z   test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cuda_float16 (__main__.TestMHADeviceTypeCUDA) ... ok (0.016s)
2022-11-23T02:32:19.5879415Z   test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.015s)
2022-11-23T02:32:19.5880015Z   test_transform_bias_rescale_qkv_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.021s)
2022-11-23T02:32:19.5880504Z   test_transform_bias_rescale_qkv_nested_cuda_float32 (__main__.TestMHADeviceTypeCUDA) ... ok (0.027s)
2022-11-23T02:32:19.5880790Z 
2022-11-23T02:32:19.5881288Z ----------------------------------------------------------------------
2022-11-23T02:32:19.5881641Z Ran 54 tests in 1.185s
2022-11-23T02:32:19.5881820Z 
2022-11-23T02:32:19.5881924Z OK
2022-11-23T02:32:19.5882063Z 
2022-11-23T02:32:19.5882199Z Generating XML reports...
2022-11-23T02:32:19.5882786Z Generated XML report: test-reports/python-unittest/test_native_mha/TEST-TestMHADeviceTypeCUDA-20221123023217.xml
2022-11-23T02:32:19.5883132Z 
2022-11-23T02:32:19.5883649Z ##[endgroup]
2022-11-23T02:32:19.5884153Z FINISHED PRINTING LOG FILE of test_native_mha (/var/lib/jenkins/workspace/test/test-reports/test_native_mha_02sbva2e)
2022-11-23T02:32:19.5884457Z 
2022-11-23T02:32:22.9631329Z Ignoring disabled issues:  []
2022-11-23T02:32:23.0007547Z Running test_scatter_gather_ops ... [2022-11-23 02:32:22.999957]
2022-11-23T02:32:23.0008262Z Executing ['/opt/conda/bin/python', '-bb', 'test_scatter_gather_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:32:23.000443]
2022-11-23T02:32:34.5751117Z 
2022-11-23T02:32:34.5751749Z Expand the folded group to see the log file of test_scatter_gather_ops
2022-11-23T02:32:34.5753075Z ##[group]PRINTING LOG FILE of test_scatter_gather_ops (/var/lib/jenkins/workspace/test/test-reports/test_scatter_gather_ops_hharv9p0)
2022-11-23T02:32:34.5753649Z 
2022-11-23T02:32:34.5753777Z Running tests...
2022-11-23T02:32:34.5754829Z ----------------------------------------------------------------------
2022-11-23T02:32:34.5755391Z Test results will be stored in test-reports/python-unittest/test_scatter_gather_ops
2022-11-23T02:32:34.5755949Z   test_gather_backward_with_empty_index_tensor_sparse_grad_False_cuda_float32 (__main__.TestScatterGatherCUDA) ... ok (0.007s)
2022-11-23T02:32:34.5756509Z   test_gather_backward_with_empty_index_tensor_sparse_grad_False_cuda_float64 (__main__.TestScatterGatherCUDA) ... ok (0.004s)
2022-11-23T02:32:34.5757063Z   test_gather_backward_with_empty_index_tensor_sparse_grad_True_cuda_float32 (__main__.TestScatterGatherCUDA) ... ok (0.004s)
2022-11-23T02:32:34.5757951Z   test_gather_backward_with_empty_index_tensor_sparse_grad_True_cuda_float64 (__main__.TestScatterGatherCUDA) ... ok (0.004s)
2022-11-23T02:32:34.5758941Z   test_gather_bool_cuda_bool (__main__.TestScatterGatherCUDA) ... ok (0.003s)
2022-11-23T02:32:34.5759715Z   test_gather_cuda_complex64 (__main__.TestScatterGatherCUDA) ... ok (0.031s)
2022-11-23T02:32:34.5760631Z   test_gather_cuda_float32 (__main__.TestScatterGatherCUDA) ... ok (0.031s)
2022-11-23T02:32:34.5761301Z   test_scatter__cuda_complex64 (__main__.TestScatterGatherCUDA) ... ok (0.055s)
2022-11-23T02:32:34.5761729Z   test_scatter__cuda_float16 (__main__.TestScatterGatherCUDA) ... ok (0.055s)
2022-11-23T02:32:34.5762141Z   test_scatter__cuda_float32 (__main__.TestScatterGatherCUDA) ... ok (0.055s)
2022-11-23T02:32:34.5762571Z   test_scatter__reductions_cuda_float16 (__main__.TestScatterGatherCUDA) ... ok (0.661s)
2022-11-23T02:32:34.5763009Z   test_scatter__reductions_cuda_float32 (__main__.TestScatterGatherCUDA) ... ok (0.661s)
2022-11-23T02:32:34.5763469Z   test_scatter__scalar_cuda_complex64 (__main__.TestScatterGatherCUDA) ... ok (0.055s)
2022-11-23T02:32:34.5763913Z   test_scatter__scalar_cuda_float16 (__main__.TestScatterGatherCUDA) ... ok (0.055s)
2022-11-23T02:32:34.5764327Z   test_scatter__scalar_cuda_float32 (__main__.TestScatterGatherCUDA) ... ok (0.055s)
2022-11-23T02:32:34.5764776Z   test_scatter_add__cuda_complex64 (__main__.TestScatterGatherCUDA) ... ok (0.057s)
2022-11-23T02:32:34.5765211Z   test_scatter_add__cuda_float16 (__main__.TestScatterGatherCUDA) ... ok (0.056s)
2022-11-23T02:32:34.5765637Z   test_scatter_add__cuda_float32 (__main__.TestScatterGatherCUDA) ... ok (0.056s)
2022-11-23T02:32:34.5766135Z   test_scatter_add_mult_index_base_cuda_float32 (__main__.TestScatterGatherCUDA) ... ok (0.006s)
2022-11-23T02:32:34.5766900Z   test_scatter_reduce_amax_cuda_bfloat16 (__main__.TestScatterGatherCUDA) ... /var/lib/jenkins/workspace/test/test_scatter_gather_ops.py:107: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1681.)
2022-11-23T02:32:34.5767904Z   actual = fn(base.clone(), dim, idx, src, reduce=reduction, include_self=include_self)
2022-11-23T02:32:34.5768244Z ok (0.126s)
2022-11-23T02:32:34.5768604Z   test_scatter_reduce_amax_cuda_float16 (__main__.TestScatterGatherCUDA) ... ok (0.108s)
2022-11-23T02:32:34.5769034Z   test_scatter_reduce_amax_cuda_float32 (__main__.TestScatterGatherCUDA) ... ok (0.109s)
2022-11-23T02:32:34.5769481Z   test_scatter_reduce_amax_cuda_float64 (__main__.TestScatterGatherCUDA) ... ok (0.109s)
2022-11-23T02:32:34.5769920Z   test_scatter_reduce_amax_cuda_int16 (__main__.TestScatterGatherCUDA) ... ok (0.105s)
2022-11-23T02:32:34.5770359Z   test_scatter_reduce_amax_cuda_int32 (__main__.TestScatterGatherCUDA) ... ok (0.105s)
2022-11-23T02:32:34.5770785Z   test_scatter_reduce_amax_cuda_int64 (__main__.TestScatterGatherCUDA) ... ok (0.106s)
2022-11-23T02:32:34.5771229Z   test_scatter_reduce_amax_cuda_int8 (__main__.TestScatterGatherCUDA) ... ok (0.105s)
2022-11-23T02:32:34.5771676Z   test_scatter_reduce_amax_cuda_uint8 (__main__.TestScatterGatherCUDA) ... ok (0.105s)
2022-11-23T02:32:34.5772101Z   test_scatter_reduce_amin_cuda_bfloat16 (__main__.TestScatterGatherCUDA) ... ok (0.107s)
2022-11-23T02:32:34.5772661Z   test_scatter_reduce_amin_cuda_float16 (__main__.TestScatterGatherCUDA) ... ok (0.108s)
2022-11-23T02:32:34.5773122Z   test_scatter_reduce_amin_cuda_float32 (__main__.TestScatterGatherCUDA) ... ok (0.107s)
2022-11-23T02:32:34.5773568Z   test_scatter_reduce_amin_cuda_float64 (__main__.TestScatterGatherCUDA) ... ok (0.108s)
2022-11-23T02:32:34.5773992Z   test_scatter_reduce_amin_cuda_int16 (__main__.TestScatterGatherCUDA) ... ok (0.105s)
2022-11-23T02:32:34.5774434Z   test_scatter_reduce_amin_cuda_int32 (__main__.TestScatterGatherCUDA) ... ok (0.105s)
2022-11-23T02:32:34.5774872Z   test_scatter_reduce_amin_cuda_int64 (__main__.TestScatterGatherCUDA) ... ok (0.105s)
2022-11-23T02:32:34.5775298Z   test_scatter_reduce_amin_cuda_int8 (__main__.TestScatterGatherCUDA) ... ok (0.104s)
2022-11-23T02:32:34.5775742Z   test_scatter_reduce_amin_cuda_uint8 (__main__.TestScatterGatherCUDA) ... ok (0.107s)
2022-11-23T02:32:34.5776613Z   test_scatter_reduce_mean_cuda_bfloat16 (__main__.TestScatterGatherCUDA) ... ok (0.094s)
2022-11-23T02:32:34.5777080Z   test_scatter_reduce_mean_cuda_float16 (__main__.TestScatterGatherCUDA) ... ok (0.093s)
2022-11-23T02:32:34.5777506Z   test_scatter_reduce_mean_cuda_float32 (__main__.TestScatterGatherCUDA) ... ok (0.093s)
2022-11-23T02:32:34.5777950Z   test_scatter_reduce_mean_cuda_float64 (__main__.TestScatterGatherCUDA) ... ok (0.093s)
2022-11-23T02:32:34.5778397Z   test_scatter_reduce_mean_cuda_int16 (__main__.TestScatterGatherCUDA) ... ok (0.093s)
2022-11-23T02:32:34.5778811Z   test_scatter_reduce_mean_cuda_int32 (__main__.TestScatterGatherCUDA) ... ok (0.093s)
2022-11-23T02:32:34.5779248Z   test_scatter_reduce_mean_cuda_int64 (__main__.TestScatterGatherCUDA) ... ok (0.092s)
2022-11-23T02:32:34.5779695Z   test_scatter_reduce_mean_cuda_int8 (__main__.TestScatterGatherCUDA) ... ok (0.093s)
2022-11-23T02:32:34.5780134Z   test_scatter_reduce_mean_cuda_uint8 (__main__.TestScatterGatherCUDA) ... ok (0.092s)
2022-11-23T02:32:34.5780565Z   test_scatter_reduce_prod_cuda_bfloat16 (__main__.TestScatterGatherCUDA) ... ok (0.093s)
2022-11-23T02:32:34.5781022Z   test_scatter_reduce_prod_cuda_float16 (__main__.TestScatterGatherCUDA) ... ok (0.093s)
2022-11-23T02:32:34.5781469Z   test_scatter_reduce_prod_cuda_float32 (__main__.TestScatterGatherCUDA) ... ok (0.093s)
2022-11-23T02:32:34.5781892Z   test_scatter_reduce_prod_cuda_float64 (__main__.TestScatterGatherCUDA) ... ok (0.093s)
2022-11-23T02:32:34.5782343Z   test_scatter_reduce_prod_cuda_int16 (__main__.TestScatterGatherCUDA) ... ok (0.093s)
2022-11-23T02:32:34.5782785Z   test_scatter_reduce_prod_cuda_int32 (__main__.TestScatterGatherCUDA) ... ok (0.092s)
2022-11-23T02:32:34.5783223Z   test_scatter_reduce_prod_cuda_int64 (__main__.TestScatterGatherCUDA) ... ok (0.093s)
2022-11-23T02:32:34.5783797Z   test_scatter_reduce_prod_cuda_int8 (__main__.TestScatterGatherCUDA) ... ok (0.093s)
2022-11-23T02:32:34.5784238Z   test_scatter_reduce_prod_cuda_uint8 (__main__.TestScatterGatherCUDA) ... ok (0.092s)
2022-11-23T02:32:34.5784682Z   test_scatter_reduce_sum_cuda_bfloat16 (__main__.TestScatterGatherCUDA) ... ok (0.091s)
2022-11-23T02:32:34.5785133Z   test_scatter_reduce_sum_cuda_complex128 (__main__.TestScatterGatherCUDA) ... ok (0.091s)
2022-11-23T02:32:34.5785571Z   test_scatter_reduce_sum_cuda_complex64 (__main__.TestScatterGatherCUDA) ... ok (0.092s)
2022-11-23T02:32:34.5786019Z   test_scatter_reduce_sum_cuda_float16 (__main__.TestScatterGatherCUDA) ... ok (0.091s)
2022-11-23T02:32:34.5786473Z   test_scatter_reduce_sum_cuda_float32 (__main__.TestScatterGatherCUDA) ... ok (0.092s)
2022-11-23T02:32:34.5786892Z   test_scatter_reduce_sum_cuda_float64 (__main__.TestScatterGatherCUDA) ... ok (0.092s)
2022-11-23T02:32:34.5787333Z   test_scatter_reduce_sum_cuda_int16 (__main__.TestScatterGatherCUDA) ... ok (0.091s)
2022-11-23T02:32:34.5787768Z   test_scatter_reduce_sum_cuda_int32 (__main__.TestScatterGatherCUDA) ... ok (0.091s)
2022-11-23T02:32:34.5788194Z   test_scatter_reduce_sum_cuda_int64 (__main__.TestScatterGatherCUDA) ... ok (0.091s)
2022-11-23T02:32:34.5788701Z   test_scatter_reduce_sum_cuda_int8 (__main__.TestScatterGatherCUDA) ... ok (0.091s)
2022-11-23T02:32:34.5789151Z   test_scatter_reduce_sum_cuda_uint8 (__main__.TestScatterGatherCUDA) ... ok (0.092s)
2022-11-23T02:32:34.5789405Z 
2022-11-23T02:32:34.5789803Z ----------------------------------------------------------------------
2022-11-23T02:32:34.5790116Z Ran 66 tests in 6.537s
2022-11-23T02:32:34.5790285Z 
2022-11-23T02:32:34.5790383Z OK
2022-11-23T02:32:34.5790521Z 
2022-11-23T02:32:34.5790651Z Generating XML reports...
2022-11-23T02:32:34.5791264Z Generated XML report: test-reports/python-unittest/test_scatter_gather_ops/TEST-TestScatterGatherCUDA-20221123023227.xml
2022-11-23T02:32:34.5791601Z 
2022-11-23T02:32:34.5792080Z ##[endgroup]
2022-11-23T02:32:34.5792634Z FINISHED PRINTING LOG FILE of test_scatter_gather_ops (/var/lib/jenkins/workspace/test/test-reports/test_scatter_gather_ops_hharv9p0)
2022-11-23T02:32:34.5792950Z 
2022-11-23T02:32:37.8598883Z Ignoring disabled issues:  []
2022-11-23T02:32:37.8983048Z Running test_jit_llga_fuser ... [2022-11-23 02:32:37.897576]
2022-11-23T02:32:37.8984541Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_llga_fuser.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:32:37.898091]
2022-11-23T02:32:43.5219261Z 
2022-11-23T02:32:43.5219835Z Expand the folded group to see the log file of test_jit_llga_fuser
2022-11-23T02:32:43.5221121Z ##[group]PRINTING LOG FILE of test_jit_llga_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_llga_fuser_63xlaqox)
2022-11-23T02:32:43.5221857Z 
2022-11-23T02:32:43.5222082Z Running tests...
2022-11-23T02:32:43.5223045Z ----------------------------------------------------------------------
2022-11-23T02:32:43.5224185Z   test_dynamo_aot_ts_onednn (__main__.TestDynamoAOT) ... Test results will be stored in test-reports/python-unittest/test_jit_llga_fuser
2022-11-23T02:32:43.5225324Z skip: Enable when integration with dynamo aot_autograd is more stable (0.001s)
2022-11-23T02:32:43.5226235Z   test_context_manager (__main__.TestEnableDisableLlgaFuser) ... ok (0.106s)
2022-11-23T02:32:43.5227215Z   test_bn2d_eltwise_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5228428Z   test_bn2d_eltwise_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5229100Z   test_conv2d_bn_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5229662Z   test_conv2d_bn_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5230592Z   test_conv2d_bn_relu_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5231135Z   test_conv2d_bn_relu_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5231707Z   test_conv2d_clamp_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.002s)
2022-11-23T02:32:43.5232257Z   test_conv2d_clamp_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.002s)
2022-11-23T02:32:43.5232808Z   test_conv2d_eltwise_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5233343Z   test_conv2d_eltwise_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5233903Z   test_conv2d_silu_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5234449Z   test_conv2d_silu_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5235118Z   test_conv2d_sum_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.002s)
2022-11-23T02:32:43.5235661Z   test_conv2d_sum_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.002s)
2022-11-23T02:32:43.5236232Z   test_ensure_tensor_is_rewrapped_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.002s)
2022-11-23T02:32:43.5236829Z   test_ensure_tensor_is_rewrapped_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.002s)
2022-11-23T02:32:43.5237411Z   test_linear_eltwise_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5237949Z   test_linear_eltwise_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5238538Z   test_rewrap_tensor_input_to_pytorch_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5239136Z   test_rewrap_tensor_input_to_pytorch_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5239775Z   test_wildcard_cuda_bfloat16 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5240321Z   test_wildcard_cuda_float32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5240900Z   test_wildcard_unsupported_dtype_cuda_int32 (__main__.TestFusionPatternCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5241433Z   test_vision_alexnet_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5241932Z   test_vision_alexnet_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5242430Z   test_vision_densenet121_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5242930Z   test_vision_densenet121_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5243410Z   test_vision_densenet161_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5244013Z   test_vision_densenet161_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5244503Z   test_vision_densenet169_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5245008Z   test_vision_densenet169_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5245486Z   test_vision_densenet201_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5245973Z   test_vision_densenet201_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5246476Z   test_vision_efficientnet_b0_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5246990Z   test_vision_efficientnet_b0_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5247494Z   test_vision_efficientnet_b1_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5248014Z   test_vision_efficientnet_b1_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5248598Z   test_vision_efficientnet_b2_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5249121Z   test_vision_efficientnet_b2_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5249615Z   test_vision_efficientnet_b3_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5250125Z   test_vision_efficientnet_b3_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5250644Z   test_vision_efficientnet_b4_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5251161Z   test_vision_efficientnet_b4_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5251661Z   test_vision_efficientnet_b5_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5252193Z   test_vision_efficientnet_b5_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5252719Z   test_vision_efficientnet_b6_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5253246Z   test_vision_efficientnet_b6_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5253749Z   test_vision_efficientnet_b7_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5254271Z   test_vision_efficientnet_b7_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5254788Z   test_vision_googlenet_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5255303Z   test_vision_googlenet_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5255794Z   test_vision_mnasnet1_0_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5256822Z   test_vision_mnasnet1_0_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5257342Z   test_vision_mobilenet_v2_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5258090Z   test_vision_mobilenet_v2_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5258587Z   test_vision_mobilenet_v3_large_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5259116Z   test_vision_mobilenet_v3_large_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5259647Z   test_vision_regnet_y_400mf_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5260160Z   test_vision_regnet_y_400mf_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5260638Z   test_vision_resnet50_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5261148Z   test_vision_resnet50_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5261655Z   test_vision_resnext101_32x8d_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5262275Z   test_vision_resnext101_32x8d_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5262786Z   test_vision_resnext50_32x4d_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5263300Z   test_vision_resnext50_32x4d_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5263829Z   test_vision_shufflenet_v2_x1_0_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5264348Z   test_vision_shufflenet_v2_x1_0_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5264844Z   test_vision_squeezenet1_0_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5265362Z   test_vision_squeezenet1_0_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5265863Z   test_vision_vgg16_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5266358Z   test_vision_vgg16_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5266845Z   test_vision_wide_resnet50_2_bfloat16 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5267359Z   test_vision_wide_resnet50_2_float32 (__main__.TestModel) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5267867Z   test_add_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5268363Z   test_add_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5268851Z   test_add_scalar_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5269356Z   test_add_scalar_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5269861Z   test_addmm_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5270372Z   test_addmm_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5270859Z   test_avg_pool2d_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5271470Z   test_avg_pool2d_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5271970Z   test_bn2d_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5272471Z   test_bn2d_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.000s)
2022-11-23T02:32:43.5272944Z   test_cat_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5273443Z   test_cat_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5273943Z   test_conv2d_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5274422Z   test_conv2d_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5274932Z   test_eltwise_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5275437Z   test_eltwise_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5276019Z   test_identity_binary_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5276536Z   test_identity_binary_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5277052Z   test_layer_norm_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5277566Z   test_layer_norm_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5278072Z   test_linear_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5278605Z   test_linear_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5279125Z   test_max_pool2d_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5279642Z   test_max_pool2d_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5280140Z   test_mul_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5280607Z   test_mul_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5281104Z   test_softmax_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5281617Z   test_softmax_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5282119Z   test_typecheck_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5282623Z   test_typecheck_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5283161Z   test_variable_kernel_avg_pool2d_cuda_bfloat16 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5283714Z   test_variable_kernel_avg_pool2d_cuda_float32 (__main__.TestOpCUDA) ... skip: This test fails for BF16 on machines without AVX512. (0.001s)
2022-11-23T02:32:43.5284024Z 
2022-11-23T02:32:43.5284445Z ----------------------------------------------------------------------
2022-11-23T02:32:43.5284762Z Ran 107 tests in 0.188s
2022-11-23T02:32:43.5284923Z 
2022-11-23T02:32:43.5285145Z OK (skipped=106)
2022-11-23T02:32:43.5285307Z 
2022-11-23T02:32:43.5285436Z Generating XML reports...
2022-11-23T02:32:43.5286073Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestEnableDisableLlgaFuser-20221123023242.xml
2022-11-23T02:32:43.5286774Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestDynamoAOT-20221123023242.xml
2022-11-23T02:32:43.5287472Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestFusionPatternCUDA-20221123023242.xml
2022-11-23T02:32:43.5288135Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestModel-20221123023242.xml
2022-11-23T02:32:43.5288751Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestOpCUDA-20221123023242.xml
2022-11-23T02:32:43.5289054Z 
2022-11-23T02:32:43.5289573Z ##[endgroup]
2022-11-23T02:32:43.5290097Z FINISHED PRINTING LOG FILE of test_jit_llga_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_llga_fuser_63xlaqox)
2022-11-23T02:32:43.5290405Z 
2022-11-23T02:32:46.8515220Z Ignoring disabled issues:  []
2022-11-23T02:32:46.8941446Z Running dynamo/test_replay_record ... [2022-11-23 02:32:46.893376]
2022-11-23T02:32:46.8943167Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_replay_record.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:32:46.893984]
2022-11-23T02:32:49.8298026Z 
2022-11-23T02:32:49.8298970Z Expand the folded group to see the log file of dynamo/test_replay_record
2022-11-23T02:32:49.8300536Z ##[group]PRINTING LOG FILE of dynamo/test_replay_record (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_replay_record_siz96e5k)
2022-11-23T02:32:49.8300853Z 
2022-11-23T02:32:49.8300926Z Running tests...
2022-11-23T02:32:49.8301440Z ----------------------------------------------------------------------
2022-11-23T02:32:49.8301979Z Test results will be stored in test-reports/python-unittest/dynamo.test_replay_record
2022-11-23T02:32:49.8302415Z   test_fn_call_args (__main__.ReplayRecordTests) ... skip: requires dill (0.001s)
2022-11-23T02:32:49.8302855Z   test_local_module (__main__.ReplayRecordTests) ... skip: requires dill (0.001s)
2022-11-23T02:32:49.8303281Z   test_nonlocal_fn_call (__main__.ReplayRecordTests) ... skip: requires dill (0.001s)
2022-11-23T02:32:49.8303739Z   test_nonlocal_module_class (__main__.ReplayRecordTests) ... skip: requires dill (0.000s)
2022-11-23T02:32:49.8304156Z   test_nonlocal_module_fn_call (__main__.ReplayRecordTests) ... skip: requires dill (0.001s)
2022-11-23T02:32:49.8304602Z   test_successful_inline (__main__.ReplayRecordTests) ... skip: requires dill (0.001s)
2022-11-23T02:32:49.8305051Z   test_unsuccessful_inline (__main__.ReplayRecordTests) ... skip: requires dill (0.001s)
2022-11-23T02:32:49.8305349Z 
2022-11-23T02:32:49.8305617Z ----------------------------------------------------------------------
2022-11-23T02:32:49.8305868Z Ran 7 tests in 0.005s
2022-11-23T02:32:49.8306029Z 
2022-11-23T02:32:49.8306144Z OK (skipped=7)
2022-11-23T02:32:49.8306294Z 
2022-11-23T02:32:49.8306418Z Generating XML reports...
2022-11-23T02:32:49.8306990Z Generated XML report: test-reports/python-unittest/dynamo.test_replay_record/TEST-ReplayRecordTests-20221123023249.xml
2022-11-23T02:32:49.8307380Z 
2022-11-23T02:32:49.8307637Z ##[endgroup]
2022-11-23T02:32:49.8308203Z FINISHED PRINTING LOG FILE of dynamo/test_replay_record (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_replay_record_siz96e5k)
2022-11-23T02:32:49.8308530Z 
2022-11-23T02:32:50.3980620Z Running test_ops_jit ... [2022-11-23 02:32:50.397387]
2022-11-23T02:32:54.6972288Z Ignoring disabled issues:  []
2022-11-23T02:32:54.7207600Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_jit.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=0', '--num-shards=1', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:32:54.719919]
2022-11-23T03:04:59.3216537Z 
2022-11-23T03:04:59.3221504Z Expand the folded group to see the log file of test_ops_jit
2022-11-23T03:04:59.3223362Z ##[group]PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_juvm6koc)
2022-11-23T03:04:59.3224774Z Test results will be stored in test-reports/python-pytest/test_ops_jit/test_ops_jit-c6045c8861265b0f.xml
2022-11-23T03:04:59.3225365Z ============================= test session starts ==============================
2022-11-23T03:04:59.3225975Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T03:04:59.3226335Z cachedir: .pytest_cache
2022-11-23T03:04:59.3226900Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T03:04:59.3227357Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T03:04:59.3228438Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T03:04:59.3229260Z collecting ... collected 1040 items / 4 deselected / 1036 selected
2022-11-23T03:04:59.3367140Z Running 1036 items in this shard: test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_abs_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_acos_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_acosh_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_asin_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_asinh_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_atan2_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_atan_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_atanh_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_cat_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_clamp_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_diagonal_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_digamma_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_div_floor_rounding_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_div_no_rounding_mode_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_div_trunc_rounding_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_erf_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_erfc_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_erfinv_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_exp2_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_expm1_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_ge_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_gt_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_i0_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_igamma_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_igammac_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_le_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_lgamma_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_linalg_det_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_linalg_det_singular_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_linalg_householder_product_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_linalg_inv_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_linalg_matrix_power_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_log1p_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_log_softmax_cuda_float32, 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test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_bucketize_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_byte_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_byte_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cartesian_prod_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cartesian_prod_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cat_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cat_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cdist_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cdouble_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cdouble_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_ceil_cuda_float32, 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test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_stack_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_stack_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_std_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_std_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_std_mean_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_std_mean_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_stft_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_stft_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sub_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sub_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sum_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sum_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sum_to_size_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sum_to_size_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_svd_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_svd_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_svd_lowrank_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_symeig_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_symeig_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_t_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_t_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_take_along_dim_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_take_along_dim_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_take_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_take_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tan_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tan_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tanh_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tanh_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tensor_split_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tensor_split_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tensordot_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tensordot_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tile_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tile_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_to_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_to_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_to_sparse_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_to_sparse_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_topk_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_trace_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_trace_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_transpose_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_transpose_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_trapezoid_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_trapezoid_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_trapz_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_trapz_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_triangular_solve_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_triangular_solve_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tril_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tril_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_triu_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_triu_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_true_divide_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_true_divide_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_trunc_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unbind_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unbind_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unflatten_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unflatten_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unfold_copy_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unfold_copy_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unfold_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unfold_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_uniform_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_uniform_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unique_consecutive_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unique_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unsqueeze_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unsqueeze_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_var_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_var_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_var_mean_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_var_mean_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vdot_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vdot_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_as_complex_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_as_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_as_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_as_real_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_copy_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vsplit_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vsplit_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vstack_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vstack_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_where_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_where_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_xlogy_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zero__cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zero__cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zeros_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zeros_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zeros_like_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zeros_like_cuda_float32
2022-11-23T03:04:59.3488641Z 
2022-11-23T03:04:59.3488980Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_abs_cuda_float32 PASSED [  0%]
2022-11-23T03:04:59.3489458Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_acos_cuda_float32 PASSED [  0%]
2022-11-23T03:04:59.3490873Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_acosh_cuda_float32 PASSED [  0%]
2022-11-23T03:04:59.3491357Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_asin_cuda_float32 PASSED [  0%]
2022-11-23T03:04:59.3491792Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_asinh_cuda_float32 PASSED [  0%]
2022-11-23T03:04:59.3492234Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_atan2_cuda_float32 XFAIL [  0%]
2022-11-23T03:04:59.3492692Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_atan_cuda_float32 PASSED [  0%]
2022-11-23T03:04:59.3493135Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_atanh_cuda_float32 PASSED [  0%]
2022-11-23T03:04:59.3493558Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_cat_cuda_float32 XFAIL [  0%]
2022-11-23T03:04:59.3494006Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_clamp_cuda_float32 PASSED [  0%]
2022-11-23T03:04:59.3494458Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_diagonal_cuda_float32 PASSED [  1%]
2022-11-23T03:04:59.3494928Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_digamma_cuda_float32 PASSED [  1%]
2022-11-23T03:04:59.3495410Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_div_floor_rounding_cuda_float32 PASSED [  1%]
2022-11-23T03:04:59.3495907Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_div_no_rounding_mode_cuda_float32 PASSED [  1%]
2022-11-23T03:04:59.3496808Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_div_trunc_rounding_cuda_float32 PASSED [  1%]
2022-11-23T03:04:59.3497322Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_erf_cuda_float32 PASSED [  1%]
2022-11-23T03:04:59.3497765Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_erfc_cuda_float32 PASSED [  1%]
2022-11-23T03:04:59.3498210Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_erfinv_cuda_float32 PASSED [  1%]
2022-11-23T03:04:59.3498655Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_exp2_cuda_float32 PASSED [  1%]
2022-11-23T03:04:59.3499085Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_expm1_cuda_float32 PASSED [  1%]
2022-11-23T03:04:59.3499915Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_ge_cuda_float32 PASSED [  2%]
2022-11-23T03:04:59.3500353Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_gt_cuda_float32 PASSED [  2%]
2022-11-23T03:04:59.3500776Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_i0_cuda_float32 PASSED [  2%]
2022-11-23T03:04:59.3501230Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_igamma_cuda_float32 XFAIL [  2%]
2022-11-23T03:04:59.3501671Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_igammac_cuda_float32 XFAIL [  2%]
2022-11-23T03:04:59.3502113Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_le_cuda_float32 PASSED [  2%]
2022-11-23T03:04:59.3502539Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_lgamma_cuda_float32 PASSED [  2%]
2022-11-23T03:04:59.3502991Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_linalg_det_cuda_float32 PASSED [  2%]
2022-11-23T03:04:59.3503465Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_linalg_det_singular_cuda_float32 PASSED [  2%]
2022-11-23T03:04:59.3503964Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_linalg_householder_product_cuda_float32 PASSED [  2%]
2022-11-23T03:04:59.3504443Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_linalg_inv_cuda_float32 PASSED [  2%]
2022-11-23T03:04:59.3504913Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_linalg_matrix_power_cuda_float32 PASSED [  3%]
2022-11-23T03:04:59.3505524Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_log1p_cuda_float32 PASSED [  3%]
2022-11-23T03:04:59.3505982Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_log_softmax_cuda_float32 PASSED [  3%]
2022-11-23T03:04:59.3506468Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_log_softmax_with_dtype_cuda_float32 PASSED [  3%]
2022-11-23T03:04:59.3506930Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_logit_cuda_float32 PASSED [  3%]
2022-11-23T03:04:59.3507382Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_logsumexp_cuda_float32 PASSED [  3%]
2022-11-23T03:04:59.3507815Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_lt_cuda_float32 PASSED [  3%]
2022-11-23T03:04:59.3508257Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_mH_cuda_float32 PASSED [  3%]
2022-11-23T03:04:59.3508697Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_matmul_cuda_float32 PASSED [  3%]
2022-11-23T03:04:59.3509135Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_matrix_exp_cuda_float32 PASSED [  3%]
2022-11-23T03:04:59.3509596Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_max_binary_cuda_float32 XFAIL [  4%]
2022-11-23T03:04:59.3510053Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_min_binary_cuda_float32 XFAIL [  4%]
2022-11-23T03:04:59.3510499Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_movedim_cuda_float32 PASSED [  4%]
2022-11-23T03:04:59.3510924Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_mul_cuda_float32 PASSED [  4%]
2022-11-23T03:04:59.3511397Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_mvlgamma_mvlgamma_p_1_cuda_float32 PASSED [  4%]
2022-11-23T03:04:59.3511899Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_mvlgamma_mvlgamma_p_3_cuda_float32 PASSED [  4%]
2022-11-23T03:04:59.3512365Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_mvlgamma_mvlgamma_p_5_cuda_float32 PASSED [  4%]
2022-11-23T03:04:59.3512828Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_ne_cuda_float32 PASSED [  4%]
2022-11-23T03:04:59.3513274Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_neg_cuda_float32 PASSED [  4%]
2022-11-23T03:04:59.3513737Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_nn_functional_conv1d_cuda_float32 PASSED [  4%]
2022-11-23T03:04:59.3514205Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_nn_functional_conv2d_cuda_float32 PASSED [  5%]
2022-11-23T03:04:59.3514709Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_nn_functional_conv_transpose1d_cuda_float32 PASSED [  5%]
2022-11-23T03:04:59.3515219Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_nn_functional_conv_transpose2d_cuda_float32 PASSED [  5%]
2022-11-23T03:04:59.3515823Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_nn_functional_conv_transpose3d_cuda_float32 PASSED [  5%]
2022-11-23T03:04:59.3516315Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_nn_functional_group_norm_cuda_float32 PASSED [  5%]
2022-11-23T03:04:59.3516816Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_nn_functional_layer_norm_cuda_float32 PASSED [  5%]
2022-11-23T03:04:59.3517283Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_outer_cuda_float32 PASSED [  5%]
2022-11-23T03:04:59.3517735Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_round_cuda_float32 PASSED [  5%]
2022-11-23T03:04:59.3518183Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_round_decimals_0_cuda_float32 PASSED [  5%]
2022-11-23T03:04:59.3518676Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_round_decimals_3_cuda_float32 SKIPPED (Skipped!) [  5%]
2022-11-23T03:04:59.3519189Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_round_decimals_neg_3_cuda_float32 SKIPPED (Skipped!) [  5%]
2022-11-23T03:04:59.3519657Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_sigmoid_cuda_float32 XFAIL [  6%]
2022-11-23T03:04:59.3520108Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_sinc_cuda_float32 PASSED [  6%]
2022-11-23T03:04:59.3520634Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_softmax_cuda_float32 PASSED [  6%]
2022-11-23T03:04:59.3521119Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_softmax_with_dtype_cuda_float32 PASSED [  6%]
2022-11-23T03:04:59.3521569Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_sub_cuda_float32 PASSED [  6%]
2022-11-23T03:04:59.3522005Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_tanh_cuda_float32 XFAIL [  6%]
2022-11-23T03:04:59.3522446Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_transpose_cuda_float32 PASSED [  6%]
2022-11-23T03:04:59.3522878Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_trunc_cuda_float32 PASSED [  6%]
2022-11-23T03:04:59.3523403Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_vstack_cuda_float32 XFAIL [  6%]
2022-11-23T03:04:59.3523850Z test_ops_jit.py::TestJitCUDA::test_jit_alias_remapping_xlogy_cuda_float32 PASSED [  6%]
2022-11-23T03:04:59.3524303Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_H_cuda_complex64 XFAIL [  7%]
2022-11-23T03:04:59.3524733Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_H_cuda_float32 XFAIL [  7%]
2022-11-23T03:04:59.3525188Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_T_cuda_complex64 XFAIL [  7%]
2022-11-23T03:04:59.3525628Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_T_cuda_float32 XFAIL [  7%]
2022-11-23T03:04:59.3526109Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___getitem___cuda_complex64 SKIPPED (Skipped!) [  7%]
2022-11-23T03:04:59.3526604Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___getitem___cuda_float32 SKIPPED (Skipped!) [  7%]
2022-11-23T03:04:59.3527096Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___radd___cuda_complex64 XFAIL [  7%]
2022-11-23T03:04:59.3527556Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___radd___cuda_float32 XFAIL [  7%]
2022-11-23T03:04:59.3527995Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___rdiv___cuda_complex64 XFAIL [  7%]
2022-11-23T03:04:59.3528472Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___rdiv___cuda_float32 XFAIL [  7%]
2022-11-23T03:04:59.3528945Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___rmatmul___cuda_complex64 XFAIL [  8%]
2022-11-23T03:04:59.3529412Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___rmatmul___cuda_float32 XFAIL [  8%]
2022-11-23T03:04:59.3529942Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___rmod___cuda_float32 XFAIL [  8%]
2022-11-23T03:04:59.3530393Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___rmul___cuda_complex64 XFAIL [  8%]
2022-11-23T03:04:59.3530847Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___rmul___cuda_float32 XFAIL [  8%]
2022-11-23T03:04:59.3531442Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___rpow___cuda_complex64 XFAIL [  8%]
2022-11-23T03:04:59.3531881Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___rpow___cuda_float32 XFAIL [  8%]
2022-11-23T03:04:59.3532337Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___rsub___cuda_complex64 XFAIL [  8%]
2022-11-23T03:04:59.3532790Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit___rsub___cuda_float32 XFAIL [  8%]
2022-11-23T03:04:59.3533254Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit__softmax_backward_data_cuda_float32 XFAIL [  8%]
2022-11-23T03:04:59.3533742Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_abs_cuda_complex64 PASSED [  8%]
2022-11-23T03:04:59.3534199Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_abs_cuda_float32 PASSED [  9%]
2022-11-23T03:04:59.3534661Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_acos_cuda_complex64 PASSED [  9%]
2022-11-23T03:04:59.3535109Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_acos_cuda_float32 PASSED [  9%]
2022-11-23T03:04:59.3535573Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_acosh_cuda_complex64 PASSED [  9%]
2022-11-23T03:04:59.3536260Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_acosh_cuda_float32 PASSED [  9%]
2022-11-23T03:04:59.3536876Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_add_cuda_complex64 PASSED [  9%]
2022-11-23T03:04:59.3537338Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_add_cuda_float32 PASSED [  9%]
2022-11-23T03:04:59.3537801Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addbmm_cuda_complex64 PASSED [  9%]
2022-11-23T03:04:59.3538268Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addbmm_cuda_float32 PASSED [  9%]
2022-11-23T03:04:59.3538720Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addcdiv_cuda_complex64 PASSED [  9%]
2022-11-23T03:04:59.3539204Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addcdiv_cuda_float32 PASSED [ 10%]
2022-11-23T03:04:59.3539668Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addcmul_cuda_complex64 PASSED [ 10%]
2022-11-23T03:04:59.3540133Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addcmul_cuda_float32 PASSED [ 10%]
2022-11-23T03:04:59.3540584Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addmm_cuda_complex64 PASSED [ 10%]
2022-11-23T03:04:59.3541040Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addmm_cuda_float32 PASSED [ 10%]
2022-11-23T03:04:59.3541519Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addmm_decomposed_cuda_complex64 PASSED [ 10%]
2022-11-23T03:04:59.3542006Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addmm_decomposed_cuda_float32 PASSED [ 10%]
2022-11-23T03:04:59.3542487Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addmv_cuda_complex64 PASSED [ 10%]
2022-11-23T03:04:59.3542956Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addmv_cuda_float32 PASSED [ 10%]
2022-11-23T03:04:59.3543413Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addr_cuda_complex64 PASSED [ 10%]
2022-11-23T03:04:59.3543852Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_addr_cuda_float32 PASSED [ 11%]
2022-11-23T03:04:59.3544321Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_all_cuda_complex64 PASSED [ 11%]
2022-11-23T03:04:59.3544773Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_all_cuda_float32 PASSED [ 11%]
2022-11-23T03:04:59.3545235Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_allclose_cuda_complex64 SKIPPED (Skipped!) [ 11%]
2022-11-23T03:04:59.3545744Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_allclose_cuda_float32 SKIPPED (Skipped!) [ 11%]
2022-11-23T03:04:59.3546220Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_amax_cuda_float32 PASSED [ 11%]
2022-11-23T03:04:59.3546670Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_amin_cuda_float32 PASSED [ 11%]
2022-11-23T03:04:59.3547256Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_aminmax_cuda_float32 PASSED [ 11%]
2022-11-23T03:04:59.3547727Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_angle_cuda_complex64 PASSED [ 11%]
2022-11-23T03:04:59.3548190Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_angle_cuda_float32 PASSED [ 11%]
2022-11-23T03:04:59.3548648Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_any_cuda_complex64 PASSED [ 11%]
2022-11-23T03:04:59.3549080Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_any_cuda_float32 PASSED [ 12%]
2022-11-23T03:04:59.3549533Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_arange_cuda_float32 XFAIL [ 12%]
2022-11-23T03:04:59.3549983Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_argmax_cuda_float32 PASSED [ 12%]
2022-11-23T03:04:59.3550423Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_argmin_cuda_float32 PASSED [ 12%]
2022-11-23T03:04:59.3550908Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_argsort_cuda_float32 SKIPPED (Skipped!) [ 12%]
2022-11-23T03:04:59.3551403Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_argwhere_cuda_complex64 PASSED [ 12%]
2022-11-23T03:04:59.3551879Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_argwhere_cuda_float32 PASSED [ 12%]
2022-11-23T03:04:59.3552449Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_as_strided_cuda_complex64 PASSED [ 12%]
2022-11-23T03:04:59.3552949Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_as_strided_cuda_float32 PASSED [ 12%]
2022-11-23T03:04:59.3553436Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_as_strided_scatter_cuda_complex64 PASSED [ 12%]
2022-11-23T03:04:59.3553932Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_as_strided_scatter_cuda_float32 PASSED [ 13%]
2022-11-23T03:04:59.3554385Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_asin_cuda_complex64 PASSED [ 13%]
2022-11-23T03:04:59.3554851Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_asin_cuda_float32 PASSED [ 13%]
2022-11-23T03:04:59.3555308Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_asinh_cuda_complex64 PASSED [ 13%]
2022-11-23T03:04:59.3555749Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_asinh_cuda_float32 PASSED [ 13%]
2022-11-23T03:04:59.3556212Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_atan2_cuda_float32 PASSED [ 13%]
2022-11-23T03:04:59.3556677Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_atan_cuda_complex64 PASSED [ 13%]
2022-11-23T03:04:59.3557139Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_atan_cuda_float32 PASSED [ 13%]
2022-11-23T03:04:59.3557583Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_atanh_cuda_complex64 PASSED [ 13%]
2022-11-23T03:04:59.3558037Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_atanh_cuda_float32 PASSED [ 13%]
2022-11-23T03:04:59.3558507Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_atleast_1d_cuda_complex64 PASSED [ 13%]
2022-11-23T03:04:59.3558984Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_atleast_1d_cuda_float32 XFAIL [ 14%]
2022-11-23T03:04:59.3559439Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_atleast_2d_cuda_complex64 PASSED [ 14%]
2022-11-23T03:04:59.3559913Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_atleast_2d_cuda_float32 XFAIL [ 14%]
2022-11-23T03:04:59.3560382Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_atleast_3d_cuda_complex64 PASSED [ 14%]
2022-11-23T03:04:59.3560841Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_atleast_3d_cuda_float32 XFAIL [ 14%]
2022-11-23T03:04:59.3561311Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_baddbmm_cuda_complex64 PASSED [ 14%]
2022-11-23T03:04:59.3561781Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_baddbmm_cuda_float32 PASSED [ 14%]
2022-11-23T03:04:59.3562246Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_bernoulli_cuda_float32 XFAIL [ 14%]
2022-11-23T03:04:59.3562811Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_bfloat16_cuda_complex64 XFAIL [ 14%]
2022-11-23T03:04:59.3563272Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_bfloat16_cuda_float32 XFAIL [ 14%]
2022-11-23T03:04:59.3563748Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_block_diag_cuda_complex64 PASSED [ 15%]
2022-11-23T03:04:59.3564199Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_block_diag_cuda_float32 XFAIL [ 15%]
2022-11-23T03:04:59.3564664Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_bmm_cuda_complex64 PASSED [ 15%]
2022-11-23T03:04:59.3565124Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_bmm_cuda_float32 PASSED [ 15%]
2022-11-23T03:04:59.3565574Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_bool_cuda_complex64 XFAIL [ 15%]
2022-11-23T03:04:59.3566003Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_bool_cuda_float32 XFAIL [ 15%]
2022-11-23T03:04:59.3566496Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_broadcast_shapes_cuda_float32 SKIPPED (Skipped!) [ 15%]
2022-11-23T03:04:59.3567005Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_broadcast_tensors_cuda_complex64 PASSED [ 15%]
2022-11-23T03:04:59.3567549Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_broadcast_tensors_cuda_float32 XFAIL [ 15%]
2022-11-23T03:04:59.3568036Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_broadcast_to_cuda_complex64 PASSED [ 15%]
2022-11-23T03:04:59.3568519Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_broadcast_to_cuda_float32 PASSED [ 16%]
2022-11-23T03:04:59.3569028Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_bucketize_cuda_float32 SKIPPED (Expected failure!) [ 16%]
2022-11-23T03:04:59.3569504Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_byte_cuda_complex64 XFAIL [ 16%]
2022-11-23T03:04:59.3569962Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_byte_cuda_float32 XFAIL [ 16%]
2022-11-23T03:04:59.3570438Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cartesian_prod_cuda_complex64 PASSED [ 16%]
2022-11-23T03:04:59.3570924Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cartesian_prod_cuda_float32 XFAIL [ 16%]
2022-11-23T03:04:59.3571384Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cat_cuda_complex64 PASSED [ 16%]
2022-11-23T03:04:59.3571840Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cat_cuda_float32 PASSED [ 16%]
2022-11-23T03:04:59.3572294Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cdist_cuda_float32 PASSED [ 16%]
2022-11-23T03:04:59.3572755Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cdouble_cuda_complex64 XFAIL [ 16%]
2022-11-23T03:04:59.3573202Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cdouble_cuda_float32 XFAIL [ 16%]
2022-11-23T03:04:59.3573654Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_ceil_cuda_float32 PASSED [ 17%]
2022-11-23T03:04:59.3574117Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cfloat_cuda_complex64 XFAIL [ 17%]
2022-11-23T03:04:59.3574557Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cfloat_cuda_float32 XFAIL [ 17%]
2022-11-23T03:04:59.3575014Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_chalf_cuda_complex64 XFAIL [ 17%]
2022-11-23T03:04:59.3575479Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_chalf_cuda_float32 XFAIL [ 17%]
2022-11-23T03:04:59.3575938Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_char_cuda_complex64 XFAIL [ 17%]
2022-11-23T03:04:59.3576763Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_char_cuda_float32 XFAIL [ 17%]
2022-11-23T03:04:59.3577232Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cholesky_cuda_complex64 PASSED [ 17%]
2022-11-23T03:04:59.3577704Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cholesky_cuda_float32 PASSED [ 17%]
2022-11-23T03:04:59.3578356Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cholesky_inverse_cuda_complex64 PASSED [ 17%]
2022-11-23T03:04:59.3578892Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cholesky_inverse_cuda_float32 PASSED [ 18%]
2022-11-23T03:04:59.3579379Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cholesky_solve_cuda_complex64 PASSED [ 18%]
2022-11-23T03:04:59.3579921Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cholesky_solve_cuda_float32 PASSED [ 18%]
2022-11-23T03:04:59.3580377Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_chunk_cuda_complex64 PASSED [ 18%]
2022-11-23T03:04:59.3580833Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_chunk_cuda_float32 PASSED [ 18%]
2022-11-23T03:04:59.3581292Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_clamp_cuda_float32 PASSED [ 18%]
2022-11-23T03:04:59.3581747Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_clamp_max_cuda_float32 PASSED [ 18%]
2022-11-23T03:04:59.3582195Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_clamp_min_cuda_float32 PASSED [ 18%]
2022-11-23T03:04:59.3582652Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_clone_cuda_complex64 PASSED [ 18%]
2022-11-23T03:04:59.3583109Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_clone_cuda_float32 PASSED [ 18%]
2022-11-23T03:04:59.3583660Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_column_stack_cuda_complex64 PASSED [ 19%]
2022-11-23T03:04:59.3584156Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_column_stack_cuda_float32 PASSED [ 19%]
2022-11-23T03:04:59.3584639Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_combinations_cuda_complex64 PASSED [ 19%]
2022-11-23T03:04:59.3585125Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_combinations_cuda_float32 PASSED [ 19%]
2022-11-23T03:04:59.3585581Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_complex_cuda_float32 PASSED [ 19%]
2022-11-23T03:04:59.3586040Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_conj_cuda_complex64 PASSED [ 19%]
2022-11-23T03:04:59.3586504Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_conj_cuda_float32 PASSED [ 19%]
2022-11-23T03:04:59.3586983Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_conj_physical_cuda_complex64 PASSED [ 19%]
2022-11-23T03:04:59.3587479Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_conj_physical_cuda_float32 SKIPPED (Skipped!) [ 19%]
2022-11-23T03:04:59.3587988Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_constant_pad_nd_cuda_complex64 PASSED [ 19%]
2022-11-23T03:04:59.3588477Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_constant_pad_nd_cuda_float32 PASSED [ 19%]
2022-11-23T03:04:59.3588960Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_contiguous_cuda_complex64 PASSED [ 20%]
2022-11-23T03:04:59.3589422Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_contiguous_cuda_float32 PASSED [ 20%]
2022-11-23T03:04:59.3589897Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_copysign_cuda_float32 PASSED [ 20%]
2022-11-23T03:04:59.3590364Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_corrcoef_cuda_complex64 PASSED [ 20%]
2022-11-23T03:04:59.3590818Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_corrcoef_cuda_float32 PASSED [ 20%]
2022-11-23T03:04:59.3591285Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cos_cuda_complex64 PASSED [ 20%]
2022-11-23T03:04:59.3591742Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cos_cuda_float32 PASSED [ 20%]
2022-11-23T03:04:59.3592196Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cosh_cuda_complex64 PASSED [ 20%]
2022-11-23T03:04:59.3592635Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cosh_cuda_float32 PASSED [ 20%]
2022-11-23T03:04:59.3593102Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_count_nonzero_cuda_complex64 PASSED [ 20%]
2022-11-23T03:04:59.3593589Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_count_nonzero_cuda_float32 PASSED [ 21%]
2022-11-23T03:04:59.3594137Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cov_cuda_complex64 XFAIL [ 21%]
2022-11-23T03:04:59.3594598Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cov_cuda_float32 XFAIL [ 21%]
2022-11-23T03:04:59.3595060Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cross_cuda_complex64 PASSED [ 21%]
2022-11-23T03:04:59.3595517Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cross_cuda_float32 PASSED [ 21%]
2022-11-23T03:04:59.3595956Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cummax_cuda_float32 PASSED [ 21%]
2022-11-23T03:04:59.3596424Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cummin_cuda_float32 PASSED [ 21%]
2022-11-23T03:04:59.3596884Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cumprod_cuda_complex64 PASSED [ 21%]
2022-11-23T03:04:59.3597348Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cumprod_cuda_float32 PASSED [ 21%]
2022-11-23T03:04:59.3597800Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cumsum_cuda_complex64 PASSED [ 21%]
2022-11-23T03:04:59.3598264Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cumsum_cuda_float32 PASSED [ 22%]
2022-11-23T03:04:59.3598755Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cumulative_trapezoid_cuda_complex64 PASSED [ 22%]
2022-11-23T03:04:59.3599310Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_cumulative_trapezoid_cuda_float32 PASSED [ 22%]
2022-11-23T03:04:59.3599804Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_deg2rad_cuda_float32 PASSED [ 22%]
2022-11-23T03:04:59.3600268Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_diag_cuda_complex64 PASSED [ 22%]
2022-11-23T03:04:59.3600722Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_diag_cuda_float32 PASSED [ 22%]
2022-11-23T03:04:59.3601171Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_diag_embed_cuda_complex64 PASSED [ 22%]
2022-11-23T03:04:59.3601660Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_diag_embed_cuda_float32 PASSED [ 22%]
2022-11-23T03:04:59.3602125Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_diagflat_cuda_complex64 PASSED [ 22%]
2022-11-23T03:04:59.3602603Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_diagflat_cuda_float32 PASSED [ 22%]
2022-11-23T03:04:59.3603076Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_diagonal_copy_cuda_complex64 PASSED [ 22%]
2022-11-23T03:04:59.3603561Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_diagonal_copy_cuda_float32 PASSED [ 23%]
2022-11-23T03:04:59.3604037Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_diagonal_cuda_complex64 PASSED [ 23%]
2022-11-23T03:04:59.3604565Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_diagonal_cuda_float32 PASSED [ 23%]
2022-11-23T03:04:59.3605044Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_diagonal_scatter_cuda_float32 PASSED [ 23%]
2022-11-23T03:04:59.3605537Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_diff_cuda_complex64 PASSED [ 23%]
2022-11-23T03:04:59.3605995Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_diff_cuda_float32 PASSED [ 23%]
2022-11-23T03:04:59.3606437Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_digamma_cuda_float32 PASSED [ 23%]
2022-11-23T03:04:59.3606902Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_dist_cuda_complex64 PASSED [ 23%]
2022-11-23T03:04:59.3607364Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_dist_cuda_float32 PASSED [ 23%]
2022-11-23T03:04:59.3607820Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_div_floor_rounding_cuda_float32 PASSED [ 23%]
2022-11-23T03:04:59.3608331Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_div_no_rounding_mode_cuda_complex64 PASSED [ 24%]
2022-11-23T03:04:59.3608837Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_div_no_rounding_mode_cuda_float32 PASSED [ 24%]
2022-11-23T03:04:59.3609434Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_div_trunc_rounding_cuda_float32 PASSED [ 24%]
2022-11-23T03:04:59.3609898Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_dot_cuda_complex64 PASSED [ 24%]
2022-11-23T03:04:59.3610366Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_dot_cuda_float32 PASSED [ 24%]
2022-11-23T03:04:59.3610835Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_double_cuda_complex64 XFAIL [ 24%]
2022-11-23T03:04:59.3611304Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_double_cuda_float32 XFAIL [ 24%]
2022-11-23T03:04:59.3611750Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_dsplit_cuda_complex64 PASSED [ 24%]
2022-11-23T03:04:59.3612215Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_dsplit_cuda_float32 PASSED [ 24%]
2022-11-23T03:04:59.3612685Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_dstack_cuda_complex64 PASSED [ 24%]
2022-11-23T03:04:59.3613140Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_dstack_cuda_float32 PASSED [ 25%]
2022-11-23T03:04:59.3613639Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_einsum_cuda_complex64 SKIPPED (Skipped!) [ 25%]
2022-11-23T03:04:59.3614139Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_einsum_cuda_float32 SKIPPED (Skipped!) [ 25%]
2022-11-23T03:04:59.3614719Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_empty_cuda_complex64 SKIPPED (Skipped!) [ 25%]
2022-11-23T03:04:59.3615214Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_empty_cuda_float32 SKIPPED (Skipped!) [ 25%]
2022-11-23T03:04:59.3615722Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_empty_like_cuda_complex64 SKIPPED (Skipped!) [ 25%]
2022-11-23T03:04:59.3616588Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_empty_like_cuda_float32 SKIPPED (Skipped!) [ 25%]
2022-11-23T03:04:59.3617079Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_eq_cuda_complex64 PASSED [ 25%]
2022-11-23T03:04:59.3617523Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_eq_cuda_float32 PASSED [ 25%]
2022-11-23T03:04:59.3617984Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_equal_cuda_complex64 PASSED [ 25%]
2022-11-23T03:04:59.3618443Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_equal_cuda_float32 PASSED [ 25%]
2022-11-23T03:04:59.3618884Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_erf_cuda_float32 PASSED [ 26%]
2022-11-23T03:04:59.3619339Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_erfc_cuda_float32 PASSED [ 26%]
2022-11-23T03:04:59.3619792Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_erfinv_cuda_float32 PASSED [ 26%]
2022-11-23T03:04:59.3620246Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_exp2_cuda_float32 PASSED [ 26%]
2022-11-23T03:04:59.3620683Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_exp_cuda_complex64 PASSED [ 26%]
2022-11-23T03:04:59.3621146Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_exp_cuda_float32 PASSED [ 26%]
2022-11-23T03:04:59.3621616Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_expand_as_cuda_complex64 PASSED [ 26%]
2022-11-23T03:04:59.3622088Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_expand_as_cuda_float32 PASSED [ 26%]
2022-11-23T03:04:59.3622541Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_expand_cuda_complex64 PASSED [ 26%]
2022-11-23T03:04:59.3623007Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_expand_cuda_float32 PASSED [ 26%]
2022-11-23T03:04:59.3623462Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_expm1_cuda_float32 PASSED [ 27%]
2022-11-23T03:04:59.3623895Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_eye_cuda_complex64 XFAIL [ 27%]
2022-11-23T03:04:59.3624346Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_eye_cuda_float32 XFAIL [ 27%]
2022-11-23T03:04:59.3624803Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_fft2_cuda_complex64 PASSED [ 27%]
2022-11-23T03:04:59.3625429Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_fft2_cuda_float32 PASSED [ 27%]
2022-11-23T03:04:59.3625876Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_fft_cuda_complex64 PASSED [ 27%]
2022-11-23T03:04:59.3626342Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_fft_cuda_float32 PASSED [ 27%]
2022-11-23T03:04:59.3626818Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_fftn_cuda_complex64 PASSED [ 27%]
2022-11-23T03:04:59.3627265Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_fftn_cuda_float32 PASSED [ 27%]
2022-11-23T03:04:59.3627743Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_fftshift_cuda_complex64 PASSED [ 27%]
2022-11-23T03:04:59.3628224Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_fftshift_cuda_float32 PASSED [ 27%]
2022-11-23T03:04:59.3628697Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_hfft2_cuda_complex64 PASSED [ 28%]
2022-11-23T03:04:59.3629159Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_hfft2_cuda_float32 PASSED [ 28%]
2022-11-23T03:04:59.3629627Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_hfft_cuda_complex64 PASSED [ 28%]
2022-11-23T03:04:59.3630093Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_hfft_cuda_float32 PASSED [ 28%]
2022-11-23T03:04:59.3630659Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_hfftn_cuda_complex64 PASSED [ 28%]
2022-11-23T03:04:59.3631123Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_hfftn_cuda_float32 PASSED [ 28%]
2022-11-23T03:04:59.3631591Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_ifft2_cuda_complex64 PASSED [ 28%]
2022-11-23T03:04:59.3632061Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_ifft2_cuda_float32 PASSED [ 28%]
2022-11-23T03:04:59.3632507Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_ifft_cuda_complex64 PASSED [ 28%]
2022-11-23T03:04:59.3632990Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_ifft_cuda_float32 PASSED [ 28%]
2022-11-23T03:04:59.3633451Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_ifftn_cuda_complex64 PASSED [ 29%]
2022-11-23T03:04:59.3633915Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_ifftn_cuda_float32 PASSED [ 29%]
2022-11-23T03:04:59.3634383Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_ifftshift_cuda_complex64 PASSED [ 29%]
2022-11-23T03:04:59.3634867Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_ifftshift_cuda_float32 PASSED [ 29%]
2022-11-23T03:04:59.3635339Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_ihfft2_cuda_float32 PASSED [ 29%]
2022-11-23T03:04:59.3635803Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_ihfft_cuda_float32 PASSED [ 29%]
2022-11-23T03:04:59.3636253Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_ihfftn_cuda_float32 PASSED [ 29%]
2022-11-23T03:04:59.3636730Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_irfft2_cuda_complex64 PASSED [ 29%]
2022-11-23T03:04:59.3637207Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_irfft2_cuda_float32 PASSED [ 29%]
2022-11-23T03:04:59.3637663Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_irfft_cuda_complex64 PASSED [ 29%]
2022-11-23T03:04:59.3638146Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_irfft_cuda_float32 PASSED [ 30%]
2022-11-23T03:04:59.3638620Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_irfftn_cuda_complex64 PASSED [ 30%]
2022-11-23T03:04:59.3639097Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_irfftn_cuda_float32 PASSED [ 30%]
2022-11-23T03:04:59.3639551Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_rfft2_cuda_float32 PASSED [ 30%]
2022-11-23T03:04:59.3640019Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_rfft_cuda_float32 PASSED [ 30%]
2022-11-23T03:04:59.3640494Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fft_rfftn_cuda_float32 PASSED [ 30%]
2022-11-23T03:04:59.3641036Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fill_cuda_complex64 XFAIL [ 30%]
2022-11-23T03:04:59.3641470Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fill_cuda_float32 XFAIL [ 30%]
2022-11-23T03:04:59.3641937Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_flatten_cuda_complex64 PASSED [ 30%]
2022-11-23T03:04:59.3642402Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_flatten_cuda_float32 PASSED [ 30%]
2022-11-23T03:04:59.3642847Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_flip_cuda_complex64 PASSED [ 30%]
2022-11-23T03:04:59.3643308Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_flip_cuda_float32 PASSED [ 31%]
2022-11-23T03:04:59.3643781Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fliplr_cuda_complex64 PASSED [ 31%]
2022-11-23T03:04:59.3644246Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fliplr_cuda_float32 PASSED [ 31%]
2022-11-23T03:04:59.3644706Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_flipud_cuda_complex64 PASSED [ 31%]
2022-11-23T03:04:59.3645171Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_flipud_cuda_float32 PASSED [ 31%]
2022-11-23T03:04:59.3645628Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_float_cuda_complex64 XFAIL [ 31%]
2022-11-23T03:04:59.3646119Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_float_cuda_float32 XFAIL [ 31%]
2022-11-23T03:04:59.3646617Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_float_power_cuda_complex64 SKIPPED (Skipped!) [ 31%]
2022-11-23T03:04:59.3647127Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_float_power_cuda_float32 SKIPPED (Skipped!) [ 31%]
2022-11-23T03:04:59.3647602Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_floor_cuda_float32 PASSED [ 31%]
2022-11-23T03:04:59.3648066Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_floor_divide_cuda_float32 SKIPPED (Skipped!) [ 32%]
2022-11-23T03:04:59.3648548Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fmax_cuda_float32 PASSED [ 32%]
2022-11-23T03:04:59.3649010Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fmin_cuda_float32 PASSED [ 32%]
2022-11-23T03:04:59.3649456Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_fmod_cuda_float32 PASSED [ 32%]
2022-11-23T03:04:59.3649888Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_frac_cuda_float32 PASSED [ 32%]
2022-11-23T03:04:59.3650344Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_frexp_cuda_float32 PASSED [ 32%]
2022-11-23T03:04:59.3650825Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_full_cuda_complex64 SKIPPED (Skipped!) [ 32%]
2022-11-23T03:04:59.3651318Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_full_cuda_float32 SKIPPED (Skipped!) [ 32%]
2022-11-23T03:04:59.3651803Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_full_like_cuda_complex64 PASSED [ 32%]
2022-11-23T03:04:59.3652293Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_full_like_cuda_float32 PASSED [ 32%]
2022-11-23T03:04:59.3652762Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_gather_cuda_complex64 PASSED [ 33%]
2022-11-23T03:04:59.3653215Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_gather_cuda_float32 PASSED [ 33%]
2022-11-23T03:04:59.3653678Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_ge_cuda_float32 PASSED [ 33%]
2022-11-23T03:04:59.3654143Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_geqrf_cuda_complex64 PASSED [ 33%]
2022-11-23T03:04:59.3654603Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_geqrf_cuda_float32 PASSED [ 33%]
2022-11-23T03:04:59.3655073Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_gradient_cuda_complex64 SKIPPED (Skipped!) [ 33%]
2022-11-23T03:04:59.3655588Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_gradient_cuda_float32 SKIPPED (Skipped!) [ 33%]
2022-11-23T03:04:59.3656602Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_grid_sampler_2d_cuda_float32 PASSED [ 33%]
2022-11-23T03:04:59.3657068Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_gt_cuda_float32 PASSED [ 33%]
2022-11-23T03:04:59.3657520Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_half_cuda_complex64 XFAIL [ 33%]
2022-11-23T03:04:59.3657976Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_half_cuda_float32 XFAIL [ 33%]
2022-11-23T03:04:59.3658434Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_heaviside_cuda_float32 PASSED [ 34%]
2022-11-23T03:04:59.3658874Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_histc_cuda_float32 PASSED [ 34%]
2022-11-23T03:04:59.3659346Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_hsplit_cuda_complex64 PASSED [ 34%]
2022-11-23T03:04:59.3659816Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_hsplit_cuda_float32 PASSED [ 34%]
2022-11-23T03:04:59.3660281Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_hstack_cuda_complex64 PASSED [ 34%]
2022-11-23T03:04:59.3660735Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_hstack_cuda_float32 PASSED [ 34%]
2022-11-23T03:04:59.3661192Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_hypot_cuda_float32 PASSED [ 34%]
2022-11-23T03:04:59.3661643Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_i0_cuda_float32 PASSED [ 34%]
2022-11-23T03:04:59.3662240Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_igamma_cuda_float32 PASSED [ 34%]
2022-11-23T03:04:59.3662722Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_igammac_cuda_float32 PASSED [ 34%]
2022-11-23T03:04:59.3663183Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_imag_cuda_complex64 PASSED [ 35%]
2022-11-23T03:04:59.3663648Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_index_add_cuda_complex64 PASSED [ 35%]
2022-11-23T03:04:59.3664102Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_index_add_cuda_float32 PASSED [ 35%]
2022-11-23T03:04:59.3664586Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_index_copy_cuda_complex64 PASSED [ 35%]
2022-11-23T03:04:59.3665066Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_index_copy_cuda_float32 PASSED [ 35%]
2022-11-23T03:04:59.3665529Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_index_fill_cuda_complex64 PASSED [ 35%]
2022-11-23T03:04:59.3666002Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_index_fill_cuda_float32 PASSED [ 35%]
2022-11-23T03:04:59.3666481Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_index_put_cuda_complex64 PASSED [ 35%]
2022-11-23T03:04:59.3666954Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_index_put_cuda_float32 PASSED [ 35%]
2022-11-23T03:04:59.3667409Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_index_reduce_cuda_float32 PASSED [ 35%]
2022-11-23T03:04:59.3667893Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_index_select_cuda_complex64 PASSED [ 36%]
2022-11-23T03:04:59.3668378Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_index_select_cuda_float32 PASSED [ 36%]
2022-11-23T03:04:59.3668842Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_inner_cuda_complex64 PASSED [ 36%]
2022-11-23T03:04:59.3669286Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_inner_cuda_float32 PASSED [ 36%]
2022-11-23T03:04:59.3669746Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_int_cuda_complex64 XFAIL [ 36%]
2022-11-23T03:04:59.3670196Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_int_cuda_float32 XFAIL [ 36%]
2022-11-23T03:04:59.3670634Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_isclose_cuda_complex64 PASSED [ 36%]
2022-11-23T03:04:59.3671100Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_isclose_cuda_float32 PASSED [ 36%]
2022-11-23T03:04:59.3671563Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_isfinite_cuda_complex64 PASSED [ 36%]
2022-11-23T03:04:59.3672155Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_isfinite_cuda_float32 PASSED [ 36%]
2022-11-23T03:04:59.3672596Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_isin_cuda_float32 PASSED [ 36%]
2022-11-23T03:04:59.3673055Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_isinf_cuda_complex64 PASSED [ 37%]
2022-11-23T03:04:59.3673513Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_isinf_cuda_float32 PASSED [ 37%]
2022-11-23T03:04:59.3673972Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_isnan_cuda_complex64 PASSED [ 37%]
2022-11-23T03:04:59.3674414Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_isnan_cuda_float32 PASSED [ 37%]
2022-11-23T03:04:59.3674873Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_isneginf_cuda_float32 PASSED [ 37%]
2022-11-23T03:04:59.3675339Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_isposinf_cuda_float32 PASSED [ 37%]
2022-11-23T03:04:59.3675778Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_isreal_cuda_complex64 PASSED [ 37%]
2022-11-23T03:04:59.3676248Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_isreal_cuda_float32 PASSED [ 37%]
2022-11-23T03:04:59.3676788Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_istft_cuda_complex64 SKIPPED (Skipped! istft does not match the native function) [ 37%]
2022-11-23T03:04:59.3677412Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_jiterator_2inputs_2outputs_cuda_complex64 XFAIL [ 37%]
2022-11-23T03:04:59.3677928Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_jiterator_2inputs_2outputs_cuda_float32 XFAIL [ 38%]
2022-11-23T03:04:59.3678465Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_jiterator_4inputs_with_extra_args_cuda_complex64 XFAIL [ 38%]
2022-11-23T03:04:59.3679059Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_jiterator_4inputs_with_extra_args_cuda_float32 XFAIL [ 38%]
2022-11-23T03:04:59.3679570Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_jiterator_binary_cuda_complex64 XFAIL [ 38%]
2022-11-23T03:04:59.3680049Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_jiterator_binary_cuda_float32 XFAIL [ 38%]
2022-11-23T03:04:59.3680561Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_jiterator_binary_return_by_ref_cuda_complex64 XFAIL [ 38%]
2022-11-23T03:04:59.3681080Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_jiterator_binary_return_by_ref_cuda_float32 XFAIL [ 38%]
2022-11-23T03:04:59.3681587Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_jiterator_unary_cuda_complex64 XFAIL [ 38%]
2022-11-23T03:04:59.3682054Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_jiterator_unary_cuda_float32 XFAIL [ 38%]
2022-11-23T03:04:59.3682524Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_kron_cuda_complex64 PASSED [ 38%]
2022-11-23T03:04:59.3682985Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_kron_cuda_float32 PASSED [ 38%]
2022-11-23T03:04:59.3683431Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_kthvalue_cuda_float32 PASSED [ 39%]
2022-11-23T03:04:59.3683915Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_ldexp_cuda_complex64 PASSED [ 39%]
2022-11-23T03:04:59.3684396Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_ldexp_cuda_float32 PASSED [ 39%]
2022-11-23T03:04:59.3684856Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_le_cuda_float32 PASSED [ 39%]
2022-11-23T03:04:59.3685374Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_lerp_cuda_complex64 PASSED [ 39%]
2022-11-23T03:04:59.3685841Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_lerp_cuda_float32 PASSED [ 39%]
2022-11-23T03:04:59.3686299Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_lgamma_cuda_float32 PASSED [ 39%]
2022-11-23T03:04:59.3686771Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_cond_cuda_complex64 PASSED [ 39%]
2022-11-23T03:04:59.3687227Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_cond_cuda_float32 PASSED [ 39%]
2022-11-23T03:04:59.3687798Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_cross_cuda_complex64 PASSED [ 39%]
2022-11-23T03:04:59.3688274Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_cross_cuda_float32 PASSED [ 40%]
2022-11-23T03:04:59.3688799Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_det_cuda_complex64 PASSED [ 40%]
2022-11-23T03:04:59.3689267Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_det_cuda_float32 PASSED [ 40%]
2022-11-23T03:04:59.3689768Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_det_singular_cuda_complex64 PASSED [ 40%]
2022-11-23T03:04:59.3690281Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_det_singular_cuda_float32 PASSED [ 40%]
2022-11-23T03:04:59.3690747Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_eig_cuda_complex64 PASSED [ 40%]
2022-11-23T03:04:59.3691224Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_eig_cuda_float32 PASSED [ 40%]
2022-11-23T03:04:59.3691730Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_eigh_cuda_complex64 PASSED [ 40%]
2022-11-23T03:04:59.3692215Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_eigh_cuda_float32 PASSED [ 40%]
2022-11-23T03:04:59.3692748Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_eigvals_cuda_complex64 PASSED [ 40%]
2022-11-23T03:04:59.3693261Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_eigvals_cuda_float32 PASSED [ 41%]
2022-11-23T03:04:59.3693757Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_eigvalsh_cuda_complex64 PASSED [ 41%]
2022-11-23T03:04:59.3694245Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_eigvalsh_cuda_float32 PASSED [ 41%]
2022-11-23T03:04:59.3694753Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_householder_product_cuda_complex64 PASSED [ 41%]
2022-11-23T03:04:59.3695261Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_householder_product_cuda_float32 PASSED [ 41%]
2022-11-23T03:04:59.3695763Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_inv_cuda_complex64 PASSED [ 41%]
2022-11-23T03:04:59.3696552Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_inv_cuda_float32 PASSED [ 41%]
2022-11-23T03:04:59.3697039Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_inv_ex_cuda_complex64 PASSED [ 41%]
2022-11-23T03:04:59.3697504Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_inv_ex_cuda_float32 PASSED [ 41%]
2022-11-23T03:04:59.3697989Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_ldl_factor_cuda_complex64 PASSED [ 41%]
2022-11-23T03:04:59.3698476Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_ldl_factor_cuda_float32 PASSED [ 41%]
2022-11-23T03:04:59.3698969Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_ldl_factor_ex_cuda_complex64 PASSED [ 42%]
2022-11-23T03:04:59.3699449Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_ldl_factor_ex_cuda_float32 PASSED [ 42%]
2022-11-23T03:04:59.3699937Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_ldl_solve_cuda_complex64 PASSED [ 42%]
2022-11-23T03:04:59.3700427Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_ldl_solve_cuda_float32 PASSED [ 42%]
2022-11-23T03:04:59.3700894Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_lstsq_cuda_complex64 PASSED [ 42%]
2022-11-23T03:04:59.3701369Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_lstsq_cuda_float32 PASSED [ 42%]
2022-11-23T03:04:59.3701863Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_lstsq_grad_oriented_cuda_complex64 XFAIL [ 42%]
2022-11-23T03:04:59.3702381Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_lstsq_grad_oriented_cuda_float32 XFAIL [ 42%]
2022-11-23T03:04:59.3703739Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_lu_cuda_complex64 SKIPPED (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/87070 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 42%]
2022-11-23T03:04:59.3705463Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_lu_cuda_float32 SKIPPED (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86711 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 42%]
2022-11-23T03:04:59.3706989Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_lu_factor_cuda_complex64 SKIPPED (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86732 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 43%]
2022-11-23T03:04:59.3708590Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_lu_factor_cuda_float32 SKIPPED (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86839 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 43%]
2022-11-23T03:04:59.3710125Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_lu_factor_ex_cuda_complex64 SKIPPED (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86887 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 43%]
2022-11-23T03:04:59.3711677Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_lu_factor_ex_cuda_float32 SKIPPED (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86441 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 43%]
2022-11-23T03:04:59.3712508Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_lu_solve_cuda_complex64 PASSED [ 43%]
2022-11-23T03:04:59.3713006Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_lu_solve_cuda_float32 PASSED [ 43%]
2022-11-23T03:04:59.3713509Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_matrix_norm_cuda_complex64 PASSED [ 43%]
2022-11-23T03:04:59.3714012Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_matrix_norm_cuda_float32 PASSED [ 43%]
2022-11-23T03:04:59.3714496Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_matrix_power_cuda_complex64 PASSED [ 43%]
2022-11-23T03:04:59.3715082Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_matrix_power_cuda_float32 PASSED [ 43%]
2022-11-23T03:04:59.3715637Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_matrix_rank_cuda_complex64 SKIPPED (Skipped!) [ 44%]
2022-11-23T03:04:59.3716190Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_matrix_rank_cuda_float32 SKIPPED (Skipped!) [ 44%]
2022-11-23T03:04:59.3716702Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_matrix_rank_hermitian_cuda_complex64 PASSED [ 44%]
2022-11-23T03:04:59.3717234Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_matrix_rank_hermitian_cuda_float32 PASSED [ 44%]
2022-11-23T03:04:59.3717747Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_multi_dot_cuda_complex64 PASSED [ 44%]
2022-11-23T03:04:59.3718239Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_multi_dot_cuda_float32 PASSED [ 44%]
2022-11-23T03:04:59.3718780Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_norm_cuda_complex64 PASSED [ 44%]
2022-11-23T03:04:59.3719256Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_norm_cuda_float32 PASSED [ 44%]
2022-11-23T03:04:59.3719772Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_norm_subgradients_at_zero_cuda_complex64 PASSED [ 44%]
2022-11-23T03:04:59.3720310Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_norm_subgradients_at_zero_cuda_float32 PASSED [ 44%]
2022-11-23T03:04:59.3720816Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_pinv_cuda_complex64 SKIPPED (Skipped!) [ 44%]
2022-11-23T03:04:59.3721331Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_pinv_cuda_float32 SKIPPED (Skipped!) [ 45%]
2022-11-23T03:04:59.3721847Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_pinv_hermitian_cuda_complex64 PASSED [ 45%]
2022-11-23T03:04:59.3722370Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_pinv_hermitian_cuda_float32 PASSED [ 45%]
2022-11-23T03:04:59.3722946Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_pinv_singular_cuda_complex64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 45%]
2022-11-23T03:04:59.3723706Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_pinv_singular_cuda_float32 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 45%]
2022-11-23T03:04:59.3724307Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_qr_cuda_complex64 PASSED [ 45%]
2022-11-23T03:04:59.3724790Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_qr_cuda_float32 PASSED [ 45%]
2022-11-23T03:04:59.3725295Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_slogdet_cuda_complex64 PASSED [ 45%]
2022-11-23T03:04:59.3725773Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_slogdet_cuda_float32 PASSED [ 45%]
2022-11-23T03:04:59.3726274Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_solve_cuda_complex64 PASSED [ 45%]
2022-11-23T03:04:59.3726749Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_solve_cuda_float32 PASSED [ 46%]
2022-11-23T03:04:59.3727221Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_solve_ex_cuda_complex64 PASSED [ 46%]
2022-11-23T03:04:59.3727715Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_solve_ex_cuda_float32 PASSED [ 46%]
2022-11-23T03:04:59.3728245Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_solve_triangular_cuda_complex64 PASSED [ 46%]
2022-11-23T03:04:59.3728761Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_solve_triangular_cuda_float32 PASSED [ 46%]
2022-11-23T03:04:59.3729255Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_svd_cuda_complex64 PASSED [ 46%]
2022-11-23T03:04:59.3729722Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_svd_cuda_float32 PASSED [ 46%]
2022-11-23T03:04:59.3730229Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_svdvals_cuda_complex64 PASSED [ 46%]
2022-11-23T03:04:59.3730729Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_svdvals_cuda_float32 PASSED [ 46%]
2022-11-23T03:04:59.3731203Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_tensorinv_cuda_complex64 PASSED [ 46%]
2022-11-23T03:04:59.3731695Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_tensorinv_cuda_float32 PASSED [ 47%]
2022-11-23T03:04:59.3732192Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_tensorsolve_cuda_complex64 PASSED [ 47%]
2022-11-23T03:04:59.3732693Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_tensorsolve_cuda_float32 PASSED [ 47%]
2022-11-23T03:04:59.3733167Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_vander_cuda_complex64 PASSED [ 47%]
2022-11-23T03:04:59.3733654Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_vander_cuda_float32 PASSED [ 47%]
2022-11-23T03:04:59.3734217Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_vecdot_cuda_complex64 PASSED [ 47%]
2022-11-23T03:04:59.3734697Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_vecdot_cuda_float32 PASSED [ 47%]
2022-11-23T03:04:59.3735179Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_vector_norm_cuda_complex64 PASSED [ 47%]
2022-11-23T03:04:59.3735673Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_vector_norm_cuda_float32 PASSED [ 47%]
2022-11-23T03:04:59.3736503Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linspace_cuda_complex64 SKIPPED (Skipped!) [ 47%]
2022-11-23T03:04:59.3737008Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linspace_cuda_float32 XFAIL [ 47%]
2022-11-23T03:04:59.3737455Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_log10_cuda_complex64 PASSED [ 48%]
2022-11-23T03:04:59.3737917Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_log10_cuda_float32 PASSED [ 48%]
2022-11-23T03:04:59.3738379Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_log1p_cuda_float32 PASSED [ 48%]
2022-11-23T03:04:59.3738811Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_log2_cuda_complex64 PASSED [ 48%]
2022-11-23T03:04:59.3739400Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_log2_cuda_float32 PASSED [ 48%]
2022-11-23T03:04:59.3739866Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_log_cuda_complex64 PASSED [ 48%]
2022-11-23T03:04:59.3740320Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_log_cuda_float32 PASSED [ 48%]
2022-11-23T03:04:59.3740762Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_log_softmax_cuda_float32 PASSED [ 48%]
2022-11-23T03:04:59.3741314Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_log_softmax_with_dtype_cuda_complex64 PASSED [ 48%]
2022-11-23T03:04:59.3741818Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_log_softmax_with_dtype_cuda_float32 PASSED [ 48%]
2022-11-23T03:04:59.3742315Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_logaddexp2_cuda_float32 PASSED [ 49%]
2022-11-23T03:04:59.3742777Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_logaddexp_cuda_float32 PASSED [ 49%]
2022-11-23T03:04:59.3743266Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_logcumsumexp_cuda_float32 PASSED [ 49%]
2022-11-23T03:04:59.3743746Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_logdet_cuda_complex64 PASSED [ 49%]
2022-11-23T03:04:59.3744189Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_logdet_cuda_float32 PASSED [ 49%]
2022-11-23T03:04:59.3744665Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_logical_and_cuda_complex64 PASSED [ 49%]
2022-11-23T03:04:59.3745140Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_logical_and_cuda_float32 PASSED [ 49%]
2022-11-23T03:04:59.3745619Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_logical_not_cuda_complex64 PASSED [ 49%]
2022-11-23T03:04:59.3746082Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_logical_not_cuda_float32 PASSED [ 49%]
2022-11-23T03:04:59.3746560Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_logical_or_cuda_complex64 PASSED [ 49%]
2022-11-23T03:04:59.3747039Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_logical_or_cuda_float32 PASSED [ 50%]
2022-11-23T03:04:59.3747497Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_logical_xor_cuda_complex64 PASSED [ 50%]
2022-11-23T03:04:59.3747974Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_logical_xor_cuda_float32 PASSED [ 50%]
2022-11-23T03:04:59.3748434Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_logit_cuda_float32 PASSED [ 50%]
2022-11-23T03:04:59.3748922Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_logspace_cuda_complex64 SKIPPED (Skipped!) [ 50%]
2022-11-23T03:04:59.3749404Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_logspace_cuda_float32 XFAIL [ 50%]
2022-11-23T03:04:59.3750016Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_logsumexp_cuda_float32 PASSED [ 50%]
2022-11-23T03:04:59.3750480Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_long_cuda_complex64 XFAIL [ 50%]
2022-11-23T03:04:59.3750931Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_long_cuda_float32 XFAIL [ 50%]
2022-11-23T03:04:59.3751363Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_lt_cuda_float32 PASSED [ 50%]
2022-11-23T03:04:59.3751813Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_lu_cuda_complex64 XFAIL [ 50%]
2022-11-23T03:04:59.3752258Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_lu_cuda_float32 XFAIL [ 51%]
2022-11-23T03:04:59.3752698Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_lu_solve_cuda_complex64 PASSED [ 51%]
2022-11-23T03:04:59.3753179Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_lu_solve_cuda_float32 PASSED [ 51%]
2022-11-23T03:04:59.3753651Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_lu_unpack_cuda_complex64 PASSED [ 51%]
2022-11-23T03:04:59.3754119Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_lu_unpack_cuda_float32 PASSED [ 51%]
2022-11-23T03:04:59.3754557Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_mH_cuda_complex64 XFAIL [ 51%]
2022-11-23T03:04:59.3755059Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_mH_cuda_float32 XFAIL [ 51%]
2022-11-23T03:04:59.3755511Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_mT_cuda_complex64 XFAIL [ 51%]
2022-11-23T03:04:59.3755953Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_mT_cuda_float32 XFAIL [ 51%]
2022-11-23T03:04:59.3756420Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_amax_cuda_float32 SKIPPED (Skipped!) [ 51%]
2022-11-23T03:04:59.3756907Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_amin_cuda_float32 XFAIL [ 52%]
2022-11-23T03:04:59.3757379Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_argmax_cuda_float32 XFAIL [ 52%]
2022-11-23T03:04:59.3757845Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_argmin_cuda_float32 XFAIL [ 52%]
2022-11-23T03:04:59.3758344Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_cumprod_cuda_complex64 SKIPPED (Skipped!) [ 52%]
2022-11-23T03:04:59.3758872Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_cumprod_cuda_float32 SKIPPED (Skipped!) [ 52%]
2022-11-23T03:04:59.3759386Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_cumsum_cuda_complex64 SKIPPED (Skipped!) [ 52%]
2022-11-23T03:04:59.3759875Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_cumsum_cuda_float32 SKIPPED (Skipped!) [ 52%]
2022-11-23T03:04:59.3760362Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_fill_cuda_complex64 PASSED [ 52%]
2022-11-23T03:04:59.3760845Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_fill_cuda_float32 PASSED [ 52%]
2022-11-23T03:04:59.3761338Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_log_softmax_cuda_float32 XFAIL [ 52%]
2022-11-23T03:04:59.3761826Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_logaddexp_cuda_float32 SKIPPED (Skipped!) [ 52%]
2022-11-23T03:04:59.3762355Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_logsumexp_cuda_float32 SKIPPED (Skipped!) [ 53%]
2022-11-23T03:04:59.3762856Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_mean_cuda_complex64 XFAIL [ 53%]
2022-11-23T03:04:59.3763316Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_mean_cuda_float32 XFAIL [ 53%]
2022-11-23T03:04:59.3763815Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_median_cuda_float32 SKIPPED (Skipped!) [ 53%]
2022-11-23T03:04:59.3764304Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_norm_cuda_float32 XFAIL [ 53%]
2022-11-23T03:04:59.3764789Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_normalize_cuda_complex64 XFAIL [ 53%]
2022-11-23T03:04:59.3765349Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_normalize_cuda_float32 XFAIL [ 53%]
2022-11-23T03:04:59.3765829Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_prod_cuda_complex64 XFAIL [ 53%]
2022-11-23T03:04:59.3766379Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_prod_cuda_float32 XFAIL [ 53%]
2022-11-23T03:04:59.3766861Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_scatter_cuda_complex64 PASSED [ 53%]
2022-11-23T03:04:59.3767338Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_scatter_cuda_float32 PASSED [ 54%]
2022-11-23T03:04:59.3767825Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_select_cuda_complex64 PASSED [ 54%]
2022-11-23T03:04:59.3768309Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_select_cuda_float32 PASSED [ 54%]
2022-11-23T03:04:59.3768788Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_softmax_cuda_float32 XFAIL [ 54%]
2022-11-23T03:04:59.3769256Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_softmin_cuda_float32 XFAIL [ 54%]
2022-11-23T03:04:59.3769730Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_std_cuda_complex64 XFAIL [ 54%]
2022-11-23T03:04:59.3770305Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_std_cuda_float32 XFAIL [ 54%]
2022-11-23T03:04:59.3770768Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_sum_cuda_complex64 XFAIL [ 54%]
2022-11-23T03:04:59.3771242Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_sum_cuda_float32 XFAIL [ 54%]
2022-11-23T03:04:59.3771701Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_var_cuda_complex64 XFAIL [ 54%]
2022-11-23T03:04:59.3772171Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_masked_var_cuda_float32 XFAIL [ 55%]
2022-11-23T03:04:59.3772621Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_matmul_cuda_complex64 PASSED [ 55%]
2022-11-23T03:04:59.3773089Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_matmul_cuda_float32 PASSED [ 55%]
2022-11-23T03:04:59.3773567Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_matrix_exp_cuda_complex64 PASSED [ 55%]
2022-11-23T03:04:59.3774034Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_matrix_exp_cuda_float32 PASSED [ 55%]
2022-11-23T03:04:59.3774507Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_max_binary_cuda_float32 PASSED [ 55%]
2022-11-23T03:04:59.3775008Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_max_pool2d_with_indices_backward_cuda_float32 XFAIL [ 55%]
2022-11-23T03:04:59.3775523Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_max_reduction_no_dim_cuda_float32 PASSED [ 55%]
2022-11-23T03:04:59.3776004Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_max_reduction_with_dim_cuda_float32 PASSED [ 55%]
2022-11-23T03:04:59.3776838Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_maximum_cuda_float32 PASSED [ 55%]
2022-11-23T03:04:59.3777318Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_mean_cuda_complex64 PASSED [ 55%]
2022-11-23T03:04:59.3777777Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_mean_cuda_float32 PASSED [ 56%]
2022-11-23T03:04:59.3778225Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_median_cuda_float32 PASSED [ 56%]
2022-11-23T03:04:59.3778762Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_meshgrid_list_of_tensors_cuda_complex64 PASSED [ 56%]
2022-11-23T03:04:59.3779277Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_meshgrid_list_of_tensors_cuda_float32 PASSED [ 56%]
2022-11-23T03:04:59.3779807Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_meshgrid_variadic_tensors_cuda_complex64 SKIPPED (Skipped!) [ 56%]
2022-11-23T03:04:59.3780343Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_meshgrid_variadic_tensors_cuda_float32 SKIPPED (Skipped!) [ 56%]
2022-11-23T03:04:59.3781050Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_min_binary_cuda_float32 PASSED [ 56%]
2022-11-23T03:04:59.3781541Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_min_reduction_no_dim_cuda_float32 PASSED [ 56%]
2022-11-23T03:04:59.3782024Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_min_reduction_with_dim_cuda_float32 PASSED [ 56%]
2022-11-23T03:04:59.3782518Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_minimum_cuda_float32 PASSED [ 56%]
2022-11-23T03:04:59.3782980Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_mm_cuda_complex64 PASSED [ 57%]
2022-11-23T03:04:59.3783431Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_mm_cuda_float32 PASSED [ 57%]
2022-11-23T03:04:59.3783870Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_mode_cuda_float32 PASSED [ 57%]
2022-11-23T03:04:59.3784337Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_movedim_cuda_complex64 PASSED [ 57%]
2022-11-23T03:04:59.3784819Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_movedim_cuda_float32 PASSED [ 57%]
2022-11-23T03:04:59.3785278Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_msort_cuda_float32 PASSED [ 57%]
2022-11-23T03:04:59.3785716Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_mul_cuda_complex64 PASSED [ 57%]
2022-11-23T03:04:59.3786287Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_mul_cuda_float32 PASSED [ 57%]
2022-11-23T03:04:59.3786767Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_multinomial_cuda_float32 XFAIL [ 57%]
2022-11-23T03:04:59.3787214Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_mv_cuda_complex64 PASSED [ 57%]
2022-11-23T03:04:59.3787665Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_mv_cuda_float32 PASSED [ 58%]
2022-11-23T03:04:59.3788140Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_mvlgamma_mvlgamma_p_1_cuda_float32 PASSED [ 58%]
2022-11-23T03:04:59.3788648Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_mvlgamma_mvlgamma_p_3_cuda_float32 PASSED [ 58%]
2022-11-23T03:04:59.3789132Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_mvlgamma_mvlgamma_p_5_cuda_float32 PASSED [ 58%]
2022-11-23T03:04:59.3789610Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nan_to_num_cuda_float32 PASSED [ 58%]
2022-11-23T03:04:59.3790101Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nanmean_cuda_float32 SKIPPED (Skipped!) [ 58%]
2022-11-23T03:04:59.3790584Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nanmedian_cuda_float32 PASSED [ 58%]
2022-11-23T03:04:59.3791041Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nanquantile_cuda_float32 PASSED [ 58%]
2022-11-23T03:04:59.3791530Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nansum_cuda_float32 SKIPPED (Skipped!) [ 58%]
2022-11-23T03:04:59.3792021Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_narrow_copy_cuda_complex64 PASSED [ 58%]
2022-11-23T03:04:59.3792489Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_narrow_copy_cuda_float32 PASSED [ 58%]
2022-11-23T03:04:59.3792960Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_narrow_cuda_complex64 PASSED [ 59%]
2022-11-23T03:04:59.3793424Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_narrow_cuda_float32 PASSED [ 59%]
2022-11-23T03:04:59.3793902Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_native_batch_norm_cuda_float32 XFAIL [ 59%]
2022-11-23T03:04:59.3794402Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_native_dropout_backward_cuda_float32 SKIPPED (Skipped!) [ 59%]
2022-11-23T03:04:59.3794909Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_native_layer_norm_cuda_float32 XFAIL [ 59%]
2022-11-23T03:04:59.3795380Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_ne_cuda_complex64 PASSED [ 59%]
2022-11-23T03:04:59.3795842Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_ne_cuda_float32 PASSED [ 59%]
2022-11-23T03:04:59.3796377Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_neg_cuda_complex64 PASSED [ 59%]
2022-11-23T03:04:59.3796838Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_neg_cuda_float32 PASSED [ 59%]
2022-11-23T03:04:59.3797322Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_new_empty_cuda_complex64 SKIPPED (Skipped!) [ 59%]
2022-11-23T03:04:59.3797823Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_new_empty_cuda_float32 SKIPPED (Skipped!) [ 60%]
2022-11-23T03:04:59.3798397Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_new_empty_strided_cuda_complex64 SKIPPED (Expected: new_empty_strided is not comparable) [ 60%]
2022-11-23T03:04:59.3799032Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_new_empty_strided_cuda_float32 SKIPPED (Expected: new_empty_strided is not comparable) [ 60%]
2022-11-23T03:04:59.3799577Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_new_full_cuda_complex64 PASSED [ 60%]
2022-11-23T03:04:59.3800032Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_new_full_cuda_float32 PASSED [ 60%]
2022-11-23T03:04:59.3800508Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_new_ones_cuda_complex64 PASSED [ 60%]
2022-11-23T03:04:59.3800973Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_new_ones_cuda_float32 PASSED [ 60%]
2022-11-23T03:04:59.3801518Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_new_zeros_cuda_complex64 PASSED [ 60%]
2022-11-23T03:04:59.3801984Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_new_zeros_cuda_float32 PASSED [ 60%]
2022-11-23T03:04:59.3802449Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nextafter_cuda_float32 PASSED [ 60%]
2022-11-23T03:04:59.3802992Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional__scaled_dot_product_attention_cuda_float32 SKIPPED (Skipped!) [ 61%]
2022-11-23T03:04:59.3803556Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_adaptive_avg_pool1d_cuda_float32 PASSED [ 61%]
2022-11-23T03:04:59.3804094Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_adaptive_avg_pool2d_cuda_float32 XFAIL [ 61%]
2022-11-23T03:04:59.3804618Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_adaptive_avg_pool3d_cuda_float32 XFAIL [ 61%]
2022-11-23T03:04:59.3805158Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_adaptive_max_pool1d_cuda_float32 PASSED [ 61%]
2022-11-23T03:04:59.3805695Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_adaptive_max_pool2d_cuda_float32 XFAIL [ 61%]
2022-11-23T03:04:59.3806211Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_adaptive_max_pool3d_cuda_float32 XFAIL [ 61%]
2022-11-23T03:04:59.3806738Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_alpha_dropout_cuda_float32 XFAIL [ 61%]
2022-11-23T03:04:59.3807252Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_avg_pool1d_cuda_float32 PASSED [ 61%]
2022-11-23T03:04:59.3807742Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_avg_pool2d_cuda_float32 PASSED [ 61%]
2022-11-23T03:04:59.3808246Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_avg_pool3d_cuda_float32 PASSED [ 61%]
2022-11-23T03:04:59.3808750Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_batch_norm_cuda_float32 PASSED [ 62%]
2022-11-23T03:04:59.3809271Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_batch_norm_without_cudnn_cuda_float32 PASSED [ 62%]
2022-11-23T03:04:59.3809771Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_bilinear_cuda_float32 PASSED [ 62%]
2022-11-23T03:04:59.3810293Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_binary_cross_entropy_cuda_float32 XFAIL [ 62%]
2022-11-23T03:04:59.3810856Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_binary_cross_entropy_with_logits_cuda_float32 SKIPPED (Skipped!) [ 62%]
2022-11-23T03:04:59.3811486Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_celu_cuda_float32 PASSED [ 62%]
2022-11-23T03:04:59.3811990Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_conv1d_cuda_complex64 SKIPPED (Skipped!) [ 62%]
2022-11-23T03:04:59.3812538Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_conv1d_cuda_float32 SKIPPED (Skipped!) [ 62%]
2022-11-23T03:04:59.3813089Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_conv2d_cuda_complex64 SKIPPED (Works on some configs!) [ 62%]
2022-11-23T03:04:59.3813663Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_conv2d_cuda_float32 SKIPPED (Works on some configs!) [ 62%]
2022-11-23T03:04:59.3814209Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_conv_transpose1d_cuda_complex64 SKIPPED (Skipped!) [ 63%]
2022-11-23T03:04:59.3814751Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_conv_transpose1d_cuda_float32 XFAIL [ 63%]
2022-11-23T03:04:59.3815299Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_conv_transpose2d_cuda_complex64 SKIPPED (Skipped!) [ 63%]
2022-11-23T03:04:59.3815859Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_conv_transpose2d_cuda_float32 SKIPPED (Skipped!) [ 63%]
2022-11-23T03:04:59.3816875Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_conv_transpose3d_cuda_complex64 SKIPPED (Skipped!) [ 63%]
2022-11-23T03:04:59.3817448Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_conv_transpose3d_cuda_float32 SKIPPED (Skipped!) [ 63%]
2022-11-23T03:04:59.3817995Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_cosine_embedding_loss_cuda_float32 PASSED [ 63%]
2022-11-23T03:04:59.3818530Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_cosine_similarity_cuda_float32 PASSED [ 63%]
2022-11-23T03:04:59.3819036Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_cross_entropy_cuda_float32 XFAIL [ 63%]
2022-11-23T03:04:59.3819560Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_ctc_loss_cuda_float32 SKIPPED (Skipped!) [ 63%]
2022-11-23T03:04:59.3820074Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_dropout2d_cuda_float32 XFAIL [ 63%]
2022-11-23T03:04:59.3820581Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_dropout3d_cuda_float32 XFAIL [ 64%]
2022-11-23T03:04:59.3821062Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_dropout_cuda_float32 XFAIL [ 64%]
2022-11-23T03:04:59.3821577Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_elu_cuda_float32 PASSED [ 64%]
2022-11-23T03:04:59.3822081Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_embedding_bag_cuda_float32 XFAIL [ 64%]
2022-11-23T03:04:59.3822568Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_embedding_cuda_float32 XFAIL [ 64%]
2022-11-23T03:04:59.3823110Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_feature_alpha_dropout_with_train_cuda_float32 XFAIL [ 64%]
2022-11-23T03:04:59.3823684Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_feature_alpha_dropout_without_train_cuda_complex64 XFAIL [ 64%]
2022-11-23T03:04:59.3824266Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_feature_alpha_dropout_without_train_cuda_float32 XFAIL [ 64%]
2022-11-23T03:04:59.3824801Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_fractional_max_pool2d_cuda_float32 XFAIL [ 64%]
2022-11-23T03:04:59.3825335Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_fractional_max_pool3d_cuda_float32 XFAIL [ 64%]
2022-11-23T03:04:59.3825882Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_gaussian_nll_loss_cuda_float32 SKIPPED (Skipped!) [ 65%]
2022-11-23T03:04:59.3826542Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_gelu_cuda_float32 PASSED [ 65%]
2022-11-23T03:04:59.3827019Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_glu_cuda_float32 PASSED [ 65%]
2022-11-23T03:04:59.3827523Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_grid_sample_cuda_float32 PASSED [ 65%]
2022-11-23T03:04:59.3828067Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_group_norm_cuda_float32 XFAIL [ 65%]
2022-11-23T03:04:59.3828575Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_hardshrink_cuda_float32 PASSED [ 65%]
2022-11-23T03:04:59.3829078Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_hardsigmoid_cuda_float32 PASSED [ 65%]
2022-11-23T03:04:59.3829656Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_hardswish_cuda_float32 PASSED [ 65%]
2022-11-23T03:04:59.3830169Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_hardtanh_cuda_float32 PASSED [ 65%]
2022-11-23T03:04:59.3830694Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_hinge_embedding_loss_cuda_float32 PASSED [ 65%]
2022-11-23T03:04:59.3831214Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_huber_loss_cuda_float32 SKIPPED (Skipped!) [ 66%]
2022-11-23T03:04:59.3831816Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_instance_norm_cuda_float32 XFAIL [ 66%]
2022-11-23T03:04:59.3832343Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_interpolate_area_cuda_float32 XFAIL [ 66%]
2022-11-23T03:04:59.3832868Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_interpolate_bicubic_cuda_float32 XFAIL [ 66%]
2022-11-23T03:04:59.3833380Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_interpolate_bilinear_cuda_float32 XFAIL [ 66%]
2022-11-23T03:04:59.3833931Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_interpolate_linear_cuda_float32 XFAIL [ 66%]
2022-11-23T03:04:59.3834443Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_interpolate_nearest_cuda_float32 XFAIL [ 66%]
2022-11-23T03:04:59.3834977Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_interpolate_trilinear_cuda_float32 XFAIL [ 66%]
2022-11-23T03:04:59.3835481Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_kl_div_cuda_float32 PASSED [ 66%]
2022-11-23T03:04:59.3835999Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_l1_loss_cuda_complex64 PASSED [ 66%]
2022-11-23T03:04:59.3836479Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_l1_loss_cuda_float32 XFAIL [ 66%]
2022-11-23T03:04:59.3836960Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_layer_norm_cuda_float32 PASSED [ 67%]
2022-11-23T03:04:59.3837463Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_leaky_relu_cuda_float32 PASSED [ 67%]
2022-11-23T03:04:59.3837965Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_linear_cuda_complex64 PASSED [ 67%]
2022-11-23T03:04:59.3838467Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_linear_cuda_float32 PASSED [ 67%]
2022-11-23T03:04:59.3838964Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_local_response_norm_cuda_float32 XFAIL [ 67%]
2022-11-23T03:04:59.3839482Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_logsigmoid_cuda_float32 PASSED [ 67%]
2022-11-23T03:04:59.3840000Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_margin_ranking_loss_cuda_float32 PASSED [ 67%]
2022-11-23T03:04:59.3840592Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_max_pool1d_cuda_float32 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 67%]
2022-11-23T03:04:59.3866482Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_max_pool2d_cuda_float32 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 67%]
2022-11-23T03:04:59.3868051Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_max_pool3d_cuda_float32 PASSED [ 67%]
2022-11-23T03:04:59.3868898Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_max_unpool1d_cuda_float32 PASSED [ 68%]
2022-11-23T03:04:59.3869815Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_max_unpool1d_grad_cuda_float32 PASSED [ 68%]
2022-11-23T03:04:59.3870531Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_max_unpool2d_cuda_float32 PASSED [ 68%]
2022-11-23T03:04:59.3871041Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_max_unpool2d_grad_cuda_float32 PASSED [ 68%]
2022-11-23T03:04:59.3871579Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_max_unpool3d_cuda_float32 PASSED [ 68%]
2022-11-23T03:04:59.3872120Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_max_unpool3d_grad_cuda_float32 PASSED [ 68%]
2022-11-23T03:04:59.3872644Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_mish_cuda_float32 PASSED [ 68%]
2022-11-23T03:04:59.3873127Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_mse_loss_cuda_float32 XFAIL [ 68%]
2022-11-23T03:04:59.3873847Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_multi_margin_loss_cuda_float32 PASSED [ 68%]
2022-11-23T03:04:59.3874415Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_multilabel_margin_loss_cuda_float32 PASSED [ 68%]
2022-11-23T03:04:59.3874996Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_multilabel_soft_margin_loss_cuda_float32 SKIPPED (Skipped!) [ 69%]
2022-11-23T03:04:59.3875539Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_nll_loss_cuda_float32 SKIPPED (Skipped!) [ 69%]
2022-11-23T03:04:59.3876086Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_normalize_cuda_complex64 PASSED [ 69%]
2022-11-23T03:04:59.3876610Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_normalize_cuda_float32 PASSED [ 69%]
2022-11-23T03:04:59.3877145Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_pad_circular_cuda_complex64 PASSED [ 69%]
2022-11-23T03:04:59.3877675Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_pad_circular_cuda_float32 SKIPPED (Skipped!) [ 69%]
2022-11-23T03:04:59.3878228Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_pad_constant_cuda_complex64 PASSED [ 69%]
2022-11-23T03:04:59.3878834Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_pad_constant_cuda_float32 PASSED [ 69%]
2022-11-23T03:04:59.3879378Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_pad_reflect_cuda_complex64 PASSED [ 69%]
2022-11-23T03:04:59.3879910Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_pad_reflect_cuda_float32 SKIPPED (Skipped!) [ 69%]
2022-11-23T03:04:59.3880461Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_pad_replicate_cuda_complex64 PASSED [ 69%]
2022-11-23T03:04:59.3881018Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_pad_replicate_cuda_float32 SKIPPED (Skipped!) [ 70%]
2022-11-23T03:04:59.3881592Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_pairwise_distance_cuda_complex64 SKIPPED (Skipped!) [ 70%]
2022-11-23T03:04:59.3882145Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_pairwise_distance_cuda_float32 SKIPPED (Skipped!) [ 70%]
2022-11-23T03:04:59.3882688Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_pdist_cuda_float32 PASSED [ 70%]
2022-11-23T03:04:59.3883231Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_pixel_shuffle_cuda_complex64 SKIPPED (Skipped!) [ 70%]
2022-11-23T03:04:59.3883915Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_pixel_shuffle_cuda_float32 SKIPPED (Skipped!) [ 70%]
2022-11-23T03:04:59.3884459Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_pixel_unshuffle_cuda_complex64 SKIPPED (Skipped!) [ 70%]
2022-11-23T03:04:59.3885036Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_pixel_unshuffle_cuda_float32 SKIPPED (Skipped!) [ 70%]
2022-11-23T03:04:59.3885591Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_poisson_nll_loss_cuda_float32 PASSED [ 70%]
2022-11-23T03:04:59.3886087Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_prelu_cuda_float32 XFAIL [ 70%]
2022-11-23T03:04:59.3886595Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_relu6_cuda_float32 PASSED [ 71%]
2022-11-23T03:04:59.3887100Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_relu_cuda_float32 PASSED [ 71%]
2022-11-23T03:04:59.3887619Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_rrelu_cuda_float32 XFAIL [ 71%]
2022-11-23T03:04:59.3888106Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_selu_cuda_float32 PASSED [ 71%]
2022-11-23T03:04:59.3888612Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_silu_cuda_float32 PASSED [ 71%]
2022-11-23T03:04:59.3889216Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_smooth_l1_loss_cuda_float32 XFAIL [ 71%]
2022-11-23T03:04:59.3889749Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_soft_margin_loss_cuda_float32 PASSED [ 71%]
2022-11-23T03:04:59.3890246Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_softmin_cuda_float32 PASSED [ 71%]
2022-11-23T03:04:59.3890782Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_softmin_with_dtype_cuda_complex64 PASSED [ 71%]
2022-11-23T03:04:59.3891332Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_softmin_with_dtype_cuda_float32 PASSED [ 71%]
2022-11-23T03:04:59.3891874Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_softplus_cuda_float32 PASSED [ 72%]
2022-11-23T03:04:59.3892374Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_softshrink_cuda_float32 PASSED [ 72%]
2022-11-23T03:04:59.3892906Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_softsign_cuda_complex64 PASSED [ 72%]
2022-11-23T03:04:59.3893432Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_softsign_cuda_float32 PASSED [ 72%]
2022-11-23T03:04:59.3893959Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_tanhshrink_cuda_complex64 PASSED [ 72%]
2022-11-23T03:04:59.3894469Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_tanhshrink_cuda_float32 PASSED [ 72%]
2022-11-23T03:04:59.3894983Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_threshold_cuda_float32 PASSED [ 72%]
2022-11-23T03:04:59.3895532Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_triplet_margin_loss_cuda_complex64 PASSED [ 72%]
2022-11-23T03:04:59.3896712Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_triplet_margin_loss_cuda_float32 PASSED [ 72%]
2022-11-23T03:04:59.3897393Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_triplet_margin_with_distance_loss_cuda_complex64 XFAIL [ 72%]
2022-11-23T03:04:59.3897973Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_triplet_margin_with_distance_loss_cuda_float32 XFAIL [ 72%]
2022-11-23T03:04:59.3898559Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_unfold_cuda_complex64 SKIPPED (Internal assert failed!) [ 73%]
2022-11-23T03:04:59.3899113Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_unfold_cuda_float32 SKIPPED (Internal assert failed!) [ 73%]
2022-11-23T03:04:59.3899875Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_upsample_bilinear_cuda_float32 XFAIL [ 73%]
2022-11-23T03:04:59.3900408Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nn_functional_upsample_nearest_cuda_float32 XFAIL [ 73%]
2022-11-23T03:04:59.3900910Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nonzero_cuda_complex64 XFAIL [ 73%]
2022-11-23T03:04:59.3901363Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_nonzero_cuda_float32 XFAIL [ 73%]
2022-11-23T03:04:59.3901843Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_norm_cuda_complex64 PASSED [ 73%]
2022-11-23T03:04:59.3902309Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_norm_cuda_float32 XFAIL [ 73%]
2022-11-23T03:04:59.3902776Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_norm_fro_cuda_complex64 XFAIL [ 73%]
2022-11-23T03:04:59.3903224Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_norm_fro_cuda_float32 XFAIL [ 73%]
2022-11-23T03:04:59.3903711Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_norm_inf_cuda_complex64 PASSED [ 74%]
2022-11-23T03:04:59.3904192Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_norm_inf_cuda_float32 XFAIL [ 74%]
2022-11-23T03:04:59.3904638Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_norm_nuc_cuda_complex64 XFAIL [ 74%]
2022-11-23T03:04:59.3905212Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_norm_nuc_cuda_float32 XFAIL [ 74%]
2022-11-23T03:04:59.3905686Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_normal_cuda_float32 XFAIL [ 74%]
2022-11-23T03:04:59.3906168Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_normal_number_mean_cuda_float32 XFAIL [ 74%]
2022-11-23T03:04:59.3906646Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_ones_cuda_complex64 SKIPPED (Skipped!) [ 74%]
2022-11-23T03:04:59.3907155Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_ones_cuda_float32 SKIPPED (Skipped!) [ 74%]
2022-11-23T03:04:59.3907655Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_ones_like_cuda_complex64 PASSED [ 74%]
2022-11-23T03:04:59.3908194Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_ones_like_cuda_float32 PASSED [ 74%]
2022-11-23T03:04:59.3908644Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_ormqr_cuda_complex64 PASSED [ 75%]
2022-11-23T03:04:59.3909122Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_ormqr_cuda_float32 PASSED [ 75%]
2022-11-23T03:04:59.3909586Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_outer_cuda_complex64 PASSED [ 75%]
2022-11-23T03:04:59.3910030Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_outer_cuda_float32 PASSED [ 75%]
2022-11-23T03:04:59.3910506Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_pca_lowrank_cuda_float32 XFAIL [ 75%]
2022-11-23T03:04:59.3910987Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_permute_cuda_complex64 PASSED [ 75%]
2022-11-23T03:04:59.3911466Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_permute_cuda_float32 PASSED [ 75%]
2022-11-23T03:04:59.3911930Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_pinverse_cuda_complex64 PASSED [ 75%]
2022-11-23T03:04:59.3912418Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_pinverse_cuda_float32 PASSED [ 75%]
2022-11-23T03:04:59.3912908Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_polar_cuda_float32 PASSED [ 75%]
2022-11-23T03:04:59.3913403Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_polygamma_polygamma_n_0_cuda_float32 PASSED [ 75%]
2022-11-23T03:04:59.3913923Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_polygamma_polygamma_n_1_cuda_float32 SKIPPED (Skipped!) [ 76%]
2022-11-23T03:04:59.3914457Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_polygamma_polygamma_n_2_cuda_float32 SKIPPED (Skipped!) [ 76%]
2022-11-23T03:04:59.3915010Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_polygamma_polygamma_n_3_cuda_float32 SKIPPED (Skipped!) [ 76%]
2022-11-23T03:04:59.3915641Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_polygamma_polygamma_n_4_cuda_float32 SKIPPED (Skipped!) [ 76%]
2022-11-23T03:04:59.3916136Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_positive_cuda_complex64 PASSED [ 76%]
2022-11-23T03:04:59.3916619Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_positive_cuda_float32 PASSED [ 76%]
2022-11-23T03:04:59.3917113Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_pow_cuda_complex64 PASSED [ 76%]
2022-11-23T03:04:59.3917565Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_pow_cuda_float32 PASSED [ 76%]
2022-11-23T03:04:59.3918044Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_prod_cuda_complex64 PASSED [ 76%]
2022-11-23T03:04:59.3918514Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_prod_cuda_float32 PASSED [ 76%]
2022-11-23T03:04:59.3918986Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_put_cuda_complex64 PASSED [ 77%]
2022-11-23T03:04:59.3919432Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_put_cuda_float32 PASSED [ 77%]
2022-11-23T03:04:59.3919897Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_qr_cuda_complex64 PASSED [ 77%]
2022-11-23T03:04:59.3920369Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_qr_cuda_float32 PASSED [ 77%]
2022-11-23T03:04:59.3920887Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_quantile_cuda_float32 PASSED [ 77%]
2022-11-23T03:04:59.3921382Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_rad2deg_cuda_float32 PASSED [ 77%]
2022-11-23T03:04:59.3921862Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_rand_like_cuda_complex64 XFAIL [ 77%]
2022-11-23T03:04:59.3922341Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_rand_like_cuda_float32 XFAIL [ 77%]
2022-11-23T03:04:59.3922783Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_randint_cuda_float32 XFAIL [ 77%]
2022-11-23T03:04:59.3923269Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_randint_like_cuda_float32 XFAIL [ 77%]
2022-11-23T03:04:59.3923761Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_randn_cuda_complex64 XFAIL [ 77%]
2022-11-23T03:04:59.3924227Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_randn_cuda_float32 XFAIL [ 78%]
2022-11-23T03:04:59.3924683Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_randn_like_cuda_complex64 XFAIL [ 78%]
2022-11-23T03:04:59.3925168Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_randn_like_cuda_float32 XFAIL [ 78%]
2022-11-23T03:04:59.3925645Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_ravel_cuda_complex64 PASSED [ 78%]
2022-11-23T03:04:59.3926104Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_ravel_cuda_float32 PASSED [ 78%]
2022-11-23T03:04:59.3926579Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_real_cuda_complex64 PASSED [ 78%]
2022-11-23T03:04:59.3927047Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_real_cuda_float32 PASSED [ 78%]
2022-11-23T03:04:59.3927533Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_reciprocal_cuda_complex64 PASSED [ 78%]
2022-11-23T03:04:59.3928003Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_reciprocal_cuda_float32 PASSED [ 78%]
2022-11-23T03:04:59.3928482Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_remainder_cuda_float32 PASSED [ 78%]
2022-11-23T03:04:59.3929002Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_renorm_cuda_complex64 PASSED [ 79%]
2022-11-23T03:04:59.3929458Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_renorm_cuda_float32 PASSED [ 79%]
2022-11-23T03:04:59.3929943Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_repeat_cuda_complex64 PASSED [ 79%]
2022-11-23T03:04:59.3930392Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_repeat_cuda_float32 PASSED [ 79%]
2022-11-23T03:04:59.3930915Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_repeat_interleave_cuda_complex64 SKIPPED (Skipped!) [ 79%]
2022-11-23T03:04:59.3931555Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_repeat_interleave_cuda_float32 SKIPPED (Skipped!) [ 79%]
2022-11-23T03:04:59.3932076Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_reshape_as_cuda_complex64 PASSED [ 79%]
2022-11-23T03:04:59.3932577Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_reshape_as_cuda_float32 PASSED [ 79%]
2022-11-23T03:04:59.3933065Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_reshape_cuda_complex64 PASSED [ 79%]
2022-11-23T03:04:59.3933526Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_reshape_cuda_float32 PASSED [ 79%]
2022-11-23T03:04:59.3934003Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_resize__cuda_complex64 PASSED [ 80%]
2022-11-23T03:04:59.3934482Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_resize__cuda_float32 PASSED [ 80%]
2022-11-23T03:04:59.3934959Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_resize_as__cuda_complex64 PASSED [ 80%]
2022-11-23T03:04:59.3935430Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_resize_as__cuda_float32 PASSED [ 80%]
2022-11-23T03:04:59.3935931Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_resolve_conj_cuda_complex64 PASSED [ 80%]
2022-11-23T03:04:59.3936975Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_resolve_conj_cuda_float32 PASSED [ 80%]
2022-11-23T03:04:59.3937609Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_resolve_neg_cuda_complex64 PASSED [ 80%]
2022-11-23T03:04:59.3938119Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_resolve_neg_cuda_float32 PASSED [ 80%]
2022-11-23T03:04:59.3938603Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_roll_cuda_complex64 PASSED [ 80%]
2022-11-23T03:04:59.3939082Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_roll_cuda_float32 PASSED [ 80%]
2022-11-23T03:04:59.3939525Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_rot90_cuda_complex64 PASSED [ 80%]
2022-11-23T03:04:59.3940001Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_rot90_cuda_float32 PASSED [ 81%]
2022-11-23T03:04:59.3940468Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_round_cuda_float32 PASSED [ 81%]
2022-11-23T03:04:59.3940935Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_round_decimals_0_cuda_float32 PASSED [ 81%]
2022-11-23T03:04:59.3941455Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_round_decimals_3_cuda_float32 SKIPPED (Skipped!) [ 81%]
2022-11-23T03:04:59.3941996Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_round_decimals_neg_3_cuda_float32 SKIPPED (Skipped!) [ 81%]
2022-11-23T03:04:59.3942502Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_rsqrt_cuda_complex64 PASSED [ 81%]
2022-11-23T03:04:59.3942958Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_rsqrt_cuda_float32 PASSED [ 81%]
2022-11-23T03:04:59.3943435Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_rsub_cuda_complex64 PASSED [ 81%]
2022-11-23T03:04:59.3943909Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_rsub_cuda_float32 PASSED [ 81%]
2022-11-23T03:04:59.3944395Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_scalar_tensor_cuda_complex64 XFAIL [ 81%]
2022-11-23T03:04:59.3944864Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_scalar_tensor_cuda_float32 XFAIL [ 82%]
2022-11-23T03:04:59.3945379Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_scatter_add_cuda_complex64 PASSED [ 82%]
2022-11-23T03:04:59.3945873Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_scatter_add_cuda_float32 PASSED [ 82%]
2022-11-23T03:04:59.3946364Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_scatter_cuda_complex64 PASSED [ 82%]
2022-11-23T03:04:59.3946817Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_scatter_cuda_float32 PASSED [ 82%]
2022-11-23T03:04:59.3947308Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_scatter_reduce_amax_cuda_float32 PASSED [ 82%]
2022-11-23T03:04:59.3947931Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_scatter_reduce_amin_cuda_float32 PASSED [ 82%]
2022-11-23T03:04:59.3948412Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_scatter_reduce_mean_cuda_float32 PASSED [ 82%]
2022-11-23T03:04:59.3948914Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_scatter_reduce_prod_cuda_float32 PASSED [ 82%]
2022-11-23T03:04:59.3949430Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_scatter_reduce_sum_cuda_float32 PASSED [ 82%]
2022-11-23T03:04:59.3949963Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_searchsorted_cuda_float32 SKIPPED (Expected failure!) [ 83%]
2022-11-23T03:04:59.3950489Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_segment_reduce_lengths_cuda_float32 SKIPPED (Skipped!) [ 83%]
2022-11-23T03:04:59.3951049Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_segment_reduce_offsets_cuda_float32 SKIPPED (Skipped!) [ 83%]
2022-11-23T03:04:59.3951564Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_select_cuda_complex64 PASSED [ 83%]
2022-11-23T03:04:59.3952046Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_select_cuda_float32 PASSED [ 83%]
2022-11-23T03:04:59.3952507Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_select_scatter_cuda_float32 PASSED [ 83%]
2022-11-23T03:04:59.3953053Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sgn_cuda_complex64 PASSED [ 83%]
2022-11-23T03:04:59.3953544Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sgn_cuda_float32 PASSED [ 83%]
2022-11-23T03:04:59.3954016Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_short_cuda_complex64 XFAIL [ 83%]
2022-11-23T03:04:59.3954463Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_short_cuda_float32 XFAIL [ 83%]
2022-11-23T03:04:59.3954948Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sigmoid_cuda_complex64 PASSED [ 83%]
2022-11-23T03:04:59.3955453Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sigmoid_cuda_float32 PASSED [ 84%]
2022-11-23T03:04:59.3955909Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sign_cuda_float32 PASSED [ 84%]
2022-11-23T03:04:59.3956401Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_signal_windows_cosine_cuda_float32 XFAIL [ 84%]
2022-11-23T03:04:59.3956926Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_signal_windows_exponential_cuda_float32 XFAIL [ 84%]
2022-11-23T03:04:59.3957455Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_signal_windows_gaussian_cuda_float32 XFAIL [ 84%]
2022-11-23T03:04:59.3957941Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_signal_windows_kaiser_cuda_float32 XFAIL [ 84%]
2022-11-23T03:04:59.3958440Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_signbit_cuda_float32 PASSED [ 84%]
2022-11-23T03:04:59.3958920Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sin_cuda_complex64 PASSED [ 84%]
2022-11-23T03:04:59.3959385Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sin_cuda_float32 PASSED [ 84%]
2022-11-23T03:04:59.3959849Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sinc_cuda_complex64 PASSED [ 84%]
2022-11-23T03:04:59.3960334Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sinc_cuda_float32 PASSED [ 85%]
2022-11-23T03:04:59.3960813Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sinh_cuda_complex64 PASSED [ 85%]
2022-11-23T03:04:59.3961264Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sinh_cuda_float32 PASSED [ 85%]
2022-11-23T03:04:59.3962132Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_slice_cuda_complex64 SKIPPED (variant consistency doesn't work on torch.ops) [ 85%]
2022-11-23T03:04:59.3962882Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_slice_cuda_float32 SKIPPED (variant consistency doesn't work on torch.ops) [ 85%]
2022-11-23T03:04:59.3963437Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_slice_scatter_cuda_float32 PASSED [ 85%]
2022-11-23T03:04:59.3964024Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_softmax_cuda_float32 PASSED [ 85%]
2022-11-23T03:04:59.3964518Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_softmax_with_dtype_cuda_complex64 PASSED [ 85%]
2022-11-23T03:04:59.3965024Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_softmax_with_dtype_cuda_float32 PASSED [ 85%]
2022-11-23T03:04:59.3965526Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sort_cuda_float32 PASSED [ 85%]
2022-11-23T03:04:59.3966029Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sparse_sampled_addmm_cuda_complex64 SKIPPED (Skipped!) [ 86%]
2022-11-23T03:04:59.3966580Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sparse_sampled_addmm_cuda_float32 SKIPPED (Skipped!) [ 86%]
2022-11-23T03:04:59.3967095Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_airy_ai_cuda_float32 PASSED [ 86%]
2022-11-23T03:04:59.3967599Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_bessel_j0_cuda_float32 PASSED [ 86%]
2022-11-23T03:04:59.3968085Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_bessel_j1_cuda_float32 PASSED [ 86%]
2022-11-23T03:04:59.3968582Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_bessel_y0_cuda_float32 PASSED [ 86%]
2022-11-23T03:04:59.3969146Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_bessel_y1_cuda_float32 PASSED [ 86%]
2022-11-23T03:04:59.3969672Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_chebyshev_polynomial_t_cuda_float32 PASSED [ 86%]
2022-11-23T03:04:59.3970179Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_chebyshev_polynomial_u_cuda_float32 PASSED [ 86%]
2022-11-23T03:04:59.3971009Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_chebyshev_polynomial_v_cuda_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%]
2022-11-23T03:04:59.3971855Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_chebyshev_polynomial_w_cuda_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%]
2022-11-23T03:04:59.3972448Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_entr_cuda_float32 PASSED [ 87%]
2022-11-23T03:04:59.3972916Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_erfcx_cuda_float32 PASSED [ 87%]
2022-11-23T03:04:59.3973451Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_hermite_polynomial_h_cuda_float32 PASSED [ 87%]
2022-11-23T03:04:59.3973985Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_hermite_polynomial_he_cuda_float32 PASSED [ 87%]
2022-11-23T03:04:59.3974495Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_i0e_cuda_float32 PASSED [ 87%]
2022-11-23T03:04:59.3974974Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_i1_cuda_float32 PASSED [ 87%]
2022-11-23T03:04:59.3975479Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_i1e_cuda_float32 PASSED [ 87%]
2022-11-23T03:04:59.3976002Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_laguerre_polynomial_l_cuda_float32 PASSED [ 87%]
2022-11-23T03:04:59.3977452Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_legendre_polynomial_p_cuda_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2022-11-23T03:04:59.3978063Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_log_ndtr_cuda_float32 PASSED [ 87%]
2022-11-23T03:04:59.3978577Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_modified_bessel_i0_cuda_float32 PASSED [ 88%]
2022-11-23T03:04:59.3979152Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_modified_bessel_i1_cuda_float32 PASSED [ 88%]
2022-11-23T03:04:59.3979647Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_modified_bessel_k0_cuda_float32 PASSED [ 88%]
2022-11-23T03:04:59.3980171Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_modified_bessel_k1_cuda_float32 PASSED [ 88%]
2022-11-23T03:04:59.3980864Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_ndtr_cuda_float32 PASSED [ 88%]
2022-11-23T03:04:59.3981366Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_ndtri_cuda_float32 PASSED [ 88%]
2022-11-23T03:04:59.3981885Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_polygamma_special_polygamma_n_0_cuda_float32 XFAIL [ 88%]
2022-11-23T03:04:59.3982431Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_scaled_modified_bessel_k0_cuda_float32 PASSED [ 88%]
2022-11-23T03:04:59.3982975Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_scaled_modified_bessel_k1_cuda_float32 PASSED [ 88%]
2022-11-23T03:04:59.3983803Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_shifted_chebyshev_polynomial_t_cuda_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%]
2022-11-23T03:04:59.3984645Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_shifted_chebyshev_polynomial_u_cuda_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%]
2022-11-23T03:04:59.3985513Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_shifted_chebyshev_polynomial_v_cuda_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 89%]
2022-11-23T03:04:59.3986490Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_shifted_chebyshev_polynomial_w_cuda_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 89%]
2022-11-23T03:04:59.3987117Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_spherical_bessel_j0_cuda_float32 PASSED [ 89%]
2022-11-23T03:04:59.3987635Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_xlog1py_cuda_float32 PASSED [ 89%]
2022-11-23T03:04:59.3988110Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_special_zeta_cuda_float32 PASSED [ 89%]
2022-11-23T03:04:59.3988600Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_split_cuda_complex64 PASSED [ 89%]
2022-11-23T03:04:59.3989076Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_split_cuda_float32 PASSED [ 89%]
2022-11-23T03:04:59.3989632Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_split_list_args_cuda_complex64 PASSED [ 89%]
2022-11-23T03:04:59.3990105Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_split_list_args_cuda_float32 PASSED [ 89%]
2022-11-23T03:04:59.3990607Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_split_with_sizes_cuda_complex64 PASSED [ 89%]
2022-11-23T03:04:59.3991108Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_split_with_sizes_cuda_float32 PASSED [ 90%]
2022-11-23T03:04:59.3991575Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sqrt_cuda_complex64 PASSED [ 90%]
2022-11-23T03:04:59.3992089Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sqrt_cuda_float32 PASSED [ 90%]
2022-11-23T03:04:59.3992560Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_square_cuda_complex64 PASSED [ 90%]
2022-11-23T03:04:59.3993035Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_square_cuda_float32 PASSED [ 90%]
2022-11-23T03:04:59.3993497Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_squeeze_cuda_complex64 PASSED [ 90%]
2022-11-23T03:04:59.3993978Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_squeeze_cuda_float32 PASSED [ 90%]
2022-11-23T03:04:59.3994458Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_stack_cuda_complex64 PASSED [ 90%]
2022-11-23T03:04:59.3994933Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_stack_cuda_float32 PASSED [ 90%]
2022-11-23T03:04:59.3995381Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_std_cuda_complex64 PASSED [ 90%]
2022-11-23T03:04:59.3995848Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_std_cuda_float32 PASSED [ 91%]
2022-11-23T03:04:59.3996336Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_std_mean_cuda_complex64 PASSED [ 91%]
2022-11-23T03:04:59.3996884Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_std_mean_cuda_float32 PASSED [ 91%]
2022-11-23T03:04:59.3997439Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_stft_cuda_complex64 SKIPPED (Skipped! stft does not match the native function) [ 91%]
2022-11-23T03:04:59.3998050Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_stft_cuda_float32 SKIPPED (Skipped! stft does not match the native function) [ 91%]
2022-11-23T03:04:59.3998575Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sub_cuda_complex64 PASSED [ 91%]
2022-11-23T03:04:59.3999020Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sub_cuda_float32 PASSED [ 91%]
2022-11-23T03:04:59.3999489Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sum_cuda_complex64 PASSED [ 91%]
2022-11-23T03:04:59.3999949Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sum_cuda_float32 PASSED [ 91%]
2022-11-23T03:04:59.4000431Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sum_to_size_cuda_complex64 PASSED [ 91%]
2022-11-23T03:04:59.4000887Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_sum_to_size_cuda_float32 XFAIL [ 91%]
2022-11-23T03:04:59.4001450Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_svd_cuda_complex64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 92%]
2022-11-23T03:04:59.4002082Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_svd_cuda_float32 PASSED [ 92%]
2022-11-23T03:04:59.4002575Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_svd_lowrank_cuda_float32 XFAIL [ 92%]
2022-11-23T03:04:59.4003039Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_symeig_cuda_complex64 PASSED [ 92%]
2022-11-23T03:04:59.4003516Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_symeig_cuda_float32 PASSED [ 92%]
2022-11-23T03:04:59.4003985Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_t_cuda_complex64 PASSED [ 92%]
2022-11-23T03:04:59.4004424Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_t_cuda_float32 PASSED [ 92%]
2022-11-23T03:04:59.4004913Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_take_along_dim_cuda_complex64 PASSED [ 92%]
2022-11-23T03:04:59.4005414Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_take_along_dim_cuda_float32 PASSED [ 92%]
2022-11-23T03:04:59.4005902Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_take_cuda_complex64 PASSED [ 92%]
2022-11-23T03:04:59.4006351Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_take_cuda_float32 PASSED [ 93%]
2022-11-23T03:04:59.4006824Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tan_cuda_complex64 PASSED [ 93%]
2022-11-23T03:04:59.4007356Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tan_cuda_float32 PASSED [ 93%]
2022-11-23T03:04:59.4007822Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tanh_cuda_complex64 PASSED [ 93%]
2022-11-23T03:04:59.4008272Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tanh_cuda_float32 PASSED [ 93%]
2022-11-23T03:04:59.4008763Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tensor_split_cuda_complex64 PASSED [ 93%]
2022-11-23T03:04:59.4009253Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tensor_split_cuda_float32 PASSED [ 93%]
2022-11-23T03:04:59.4009722Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tensordot_cuda_complex64 PASSED [ 93%]
2022-11-23T03:04:59.4010215Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tensordot_cuda_float32 PASSED [ 93%]
2022-11-23T03:04:59.4010702Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tile_cuda_complex64 PASSED [ 93%]
2022-11-23T03:04:59.4011165Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tile_cuda_float32 PASSED [ 94%]
2022-11-23T03:04:59.4011606Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_to_cuda_complex64 PASSED [ 94%]
2022-11-23T03:04:59.4012079Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_to_cuda_float32 PASSED [ 94%]
2022-11-23T03:04:59.4012657Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_to_sparse_cuda_complex64 PASSED [ 94%]
2022-11-23T03:04:59.4013140Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_to_sparse_cuda_float32 PASSED [ 94%]
2022-11-23T03:04:59.4013596Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_topk_cuda_float32 PASSED [ 94%]
2022-11-23T03:04:59.4014070Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_trace_cuda_complex64 PASSED [ 94%]
2022-11-23T03:04:59.4014542Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_trace_cuda_float32 PASSED [ 94%]
2022-11-23T03:04:59.4014996Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_transpose_cuda_complex64 PASSED [ 94%]
2022-11-23T03:04:59.4015484Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_transpose_cuda_float32 PASSED [ 94%]
2022-11-23T03:04:59.4015978Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_trapezoid_cuda_complex64 PASSED [ 94%]
2022-11-23T03:04:59.4017167Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_trapezoid_cuda_float32 PASSED [ 95%]
2022-11-23T03:04:59.4017633Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_trapz_cuda_complex64 PASSED [ 95%]
2022-11-23T03:04:59.4018102Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_trapz_cuda_float32 PASSED [ 95%]
2022-11-23T03:04:59.4018783Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_triangular_solve_cuda_complex64 PASSED [ 95%]
2022-11-23T03:04:59.4019310Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_triangular_solve_cuda_float32 PASSED [ 95%]
2022-11-23T03:04:59.4019784Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tril_cuda_complex64 PASSED [ 95%]
2022-11-23T03:04:59.4020254Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_tril_cuda_float32 PASSED [ 95%]
2022-11-23T03:04:59.4020721Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_triu_cuda_complex64 PASSED [ 95%]
2022-11-23T03:04:59.4021176Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_triu_cuda_float32 PASSED [ 95%]
2022-11-23T03:04:59.4021652Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_true_divide_cuda_complex64 PASSED [ 95%]
2022-11-23T03:04:59.4022149Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_true_divide_cuda_float32 PASSED [ 96%]
2022-11-23T03:04:59.4022627Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_trunc_cuda_float32 PASSED [ 96%]
2022-11-23T03:04:59.4023085Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unbind_cuda_complex64 PASSED [ 96%]
2022-11-23T03:04:59.4023562Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unbind_cuda_float32 PASSED [ 96%]
2022-11-23T03:04:59.4024045Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unflatten_cuda_complex64 PASSED [ 96%]
2022-11-23T03:04:59.4024530Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unflatten_cuda_float32 PASSED [ 96%]
2022-11-23T03:04:59.4025010Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unfold_copy_cuda_complex64 PASSED [ 96%]
2022-11-23T03:04:59.4025496Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unfold_copy_cuda_float32 PASSED [ 96%]
2022-11-23T03:04:59.4025987Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unfold_cuda_complex64 PASSED [ 96%]
2022-11-23T03:04:59.4026440Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unfold_cuda_float32 PASSED [ 96%]
2022-11-23T03:04:59.4026902Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_uniform_cuda_complex64 XFAIL [ 97%]
2022-11-23T03:04:59.4027365Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_uniform_cuda_float32 XFAIL [ 97%]
2022-11-23T03:04:59.4027856Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unique_consecutive_cuda_float32 XFAIL [ 97%]
2022-11-23T03:04:59.4028319Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unique_cuda_float32 XFAIL [ 97%]
2022-11-23T03:04:59.4028787Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unsqueeze_cuda_complex64 PASSED [ 97%]
2022-11-23T03:04:59.4029390Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_unsqueeze_cuda_float32 PASSED [ 97%]
2022-11-23T03:04:59.4029864Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_var_cuda_complex64 PASSED [ 97%]
2022-11-23T03:04:59.4030312Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_var_cuda_float32 PASSED [ 97%]
2022-11-23T03:04:59.4030783Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_var_mean_cuda_complex64 PASSED [ 97%]
2022-11-23T03:04:59.4031253Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_var_mean_cuda_float32 PASSED [ 97%]
2022-11-23T03:04:59.4031709Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vdot_cuda_complex64 PASSED [ 97%]
2022-11-23T03:04:59.4032178Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vdot_cuda_float32 PASSED [ 98%]
2022-11-23T03:04:59.4032660Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_as_complex_cuda_float32 PASSED [ 98%]
2022-11-23T03:04:59.4033156Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_as_cuda_complex64 PASSED [ 98%]
2022-11-23T03:04:59.4033604Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_as_cuda_float32 PASSED [ 98%]
2022-11-23T03:04:59.4034091Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_as_real_cuda_complex64 PASSED [ 98%]
2022-11-23T03:04:59.4034644Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_copy_cuda_float32 PASSED [ 98%]
2022-11-23T03:04:59.4035126Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_cuda_complex64 PASSED [ 98%]
2022-11-23T03:04:59.4035574Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_view_cuda_float32 PASSED [ 98%]
2022-11-23T03:04:59.4036042Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vsplit_cuda_complex64 PASSED [ 98%]
2022-11-23T03:04:59.4036526Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vsplit_cuda_float32 PASSED [ 98%]
2022-11-23T03:04:59.4036973Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vstack_cuda_complex64 PASSED [ 99%]
2022-11-23T03:04:59.4037450Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_vstack_cuda_float32 PASSED [ 99%]
2022-11-23T03:04:59.4037950Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_where_cuda_complex64 SKIPPED (Skipped!) [ 99%]
2022-11-23T03:04:59.4038459Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_where_cuda_float32 SKIPPED (Skipped!) [ 99%]
2022-11-23T03:04:59.4038924Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_xlogy_cuda_float32 PASSED [ 99%]
2022-11-23T03:04:59.4039397Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zero__cuda_complex64 XFAIL [ 99%]
2022-11-23T03:04:59.4039857Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zero__cuda_float32 XFAIL [ 99%]
2022-11-23T03:04:59.4040357Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zeros_cuda_complex64 SKIPPED (Skipped!) [ 99%]
2022-11-23T03:04:59.4040869Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zeros_cuda_float32 SKIPPED (Skipped!) [ 99%]
2022-11-23T03:04:59.4041379Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zeros_like_cuda_complex64 PASSED [ 99%]
2022-11-23T03:04:59.4041862Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_zeros_like_cuda_float32 PASSED [100%]
2022-11-23T03:04:59.4042143Z 
2022-11-23T03:04:59.4042297Z =============================== warnings summary ===============================
2022-11-23T03:04:59.4042921Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T03:04:59.4043642Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T03:04:59.4044132Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T03:04:59.4044329Z 
2022-11-23T03:04:59.4044643Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T03:04:59.4045437Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-c6045c8861265b0f.xml -
2022-11-23T03:04:59.4045938Z = 741 passed, 115 skipped, 4 deselected, 180 xfailed, 1 warning in 1912.02s (0:31:52) =
2022-11-23T03:04:59.4046407Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T03:04:59.4046691Z 
2022-11-23T03:04:59.4047244Z ##[endgroup]
2022-11-23T03:04:59.4047781Z FINISHED PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_juvm6koc)
2022-11-23T03:04:59.4048071Z 
2022-11-23T03:05:00.0267028Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_jit.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 03:05:00.025277]
2022-11-23T03:05:15.9853119Z 
2022-11-23T03:05:15.9853956Z Expand the folded group to see the log file of test_ops_jit
2022-11-23T03:05:15.9854949Z ##[group]PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_zet2wx7i)
2022-11-23T03:05:15.9855777Z Test results will be stored in test-reports/python-pytest/test_ops_jit/test_ops_jit-f8611144e6bb275e.xml
2022-11-23T03:05:15.9856752Z ============================= test session starts ==============================
2022-11-23T03:05:15.9857780Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T03:05:15.9858513Z cachedir: .pytest_cache
2022-11-23T03:05:15.9859371Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T03:05:15.9859839Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T03:05:15.9860399Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T03:05:15.9860809Z collecting ... collected 1040 items / 1036 deselected / 4 selected
2022-11-23T03:05:15.9861671Z Running 4 items in this shard: test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_cholesky_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_cholesky_cuda_float32, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_cholesky_ex_cuda_complex64, test/test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_cholesky_ex_cuda_float32
2022-11-23T03:05:15.9862383Z 
2022-11-23T03:05:15.9862948Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_cholesky_cuda_complex64 PASSED [ 25%]
2022-11-23T03:05:15.9863630Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_cholesky_cuda_float32 PASSED [ 50%]
2022-11-23T03:05:15.9864609Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_cholesky_ex_cuda_complex64 PASSED [ 75%]
2022-11-23T03:05:15.9865169Z test_ops_jit.py::TestJitCUDA::test_variant_consistency_jit_linalg_cholesky_ex_cuda_float32 PASSED [100%]
2022-11-23T03:05:15.9865561Z 
2022-11-23T03:05:15.9865847Z =============================== warnings summary ===============================
2022-11-23T03:05:15.9866585Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T03:05:15.9867722Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T03:05:15.9868191Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T03:05:15.9868307Z 
2022-11-23T03:05:15.9868635Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T03:05:15.9869287Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-f8611144e6bb275e.xml -
2022-11-23T03:05:15.9869743Z ================ 4 passed, 1036 deselected, 1 warning in 9.13s =================
2022-11-23T03:05:15.9870181Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T03:05:15.9870673Z 
2022-11-23T03:05:15.9871106Z ##[endgroup]
2022-11-23T03:05:15.9871591Z FINISHED PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_zet2wx7i)
2022-11-23T03:05:15.9871937Z 
2022-11-23T03:05:15.9872136Z Running test_reductions ... [2022-11-23 03:05:15.986080]
2022-11-23T03:05:15.9872766Z Executing ['/opt/conda/bin/python', '-bb', 'test_reductions.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 03:05:15.986438]
2022-11-23T03:06:45.1140870Z 
2022-11-23T03:06:45.1141549Z Expand the folded group to see the log file of test_reductions
2022-11-23T03:06:45.1142557Z ##[group]PRINTING LOG FILE of test_reductions (/var/lib/jenkins/workspace/test/test-reports/test_reductions_vzs134uc)
2022-11-23T03:06:45.1146865Z 
2022-11-23T03:06:45.1147351Z Running tests...
2022-11-23T03:06:45.1148005Z ----------------------------------------------------------------------
2022-11-23T03:06:45.1148786Z Test results will be stored in test-reports/python-unittest/test_reductions
2022-11-23T03:06:45.1149825Z   test_accreal_type_cuda (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.004s)
2022-11-23T03:06:45.1151181Z   test_all_any_cuda (__main__.TestReductionsCUDA) ... ok (0.005s)
2022-11-23T03:06:45.1151914Z   test_all_any_empty_cuda (__main__.TestReductionsCUDA) ... ok (0.003s)
2022-11-23T03:06:45.1155053Z   test_all_any_vs_numpy_cuda_bool (__main__.TestReductionsCUDA) ... /var/lib/jenkins/workspace/test/test_reductions.py:1737: UserWarning: The use of `x.T` on tensors of dimension other than 2 to reverse their shape is deprecated and it will throw an error in a future release. Consider `x.mT` to transpose batches of matrices or `x.permute(*torch.arange(x.ndim - 1, -1, -1))` to reverse the dimensions of a tensor. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorShape.cpp:3523.)
2022-11-23T03:06:45.1156842Z   _test_all_any(x.T)
2022-11-23T03:06:45.1158300Z /var/lib/jenkins/workspace/test/test_reductions.py:1701: UserWarning: An output with one or more elements was resized since it had shape [4], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:06:45.1159928Z   torch.all(x, dim, out=out)
2022-11-23T03:06:45.1161598Z /var/lib/jenkins/workspace/test/test_reductions.py:1701: UserWarning: An output with one or more elements was resized since it had shape [1, 1], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:06:45.1162584Z   torch.all(x, dim, out=out)
2022-11-23T03:06:45.1163740Z /var/lib/jenkins/workspace/test/test_reductions.py:1701: UserWarning: An output with one or more elements was resized since it had shape [1, 5, 1], which does not match the required output shape [5, 1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:06:45.1164597Z   torch.all(x, dim, out=out)
2022-11-23T03:06:45.1165676Z /var/lib/jenkins/workspace/test/test_reductions.py:1701: UserWarning: An output with one or more elements was resized since it had shape [1, 5, 1], which does not match the required output shape [1, 1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:06:45.1167214Z   torch.all(x, dim, out=out)
2022-11-23T03:06:45.1168644Z /var/lib/jenkins/workspace/test/test_reductions.py:1701: UserWarning: An output with one or more elements was resized since it had shape [1, 5, 1], which does not match the required output shape [1, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:06:45.1170276Z   torch.all(x, dim, out=out)
2022-11-23T03:06:45.1171967Z /var/lib/jenkins/workspace/test/test_reductions.py:1701: UserWarning: An output with one or more elements was resized since it had shape [1, 1, 3, 2], which does not match the required output shape [1, 3, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:06:45.1173121Z   torch.all(x, dim, out=out)
2022-11-23T03:06:45.1174447Z /var/lib/jenkins/workspace/test/test_reductions.py:1701: UserWarning: An output with one or more elements was resized since it had shape [1, 1, 3, 2], which does not match the required output shape [1, 1, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:06:45.1175920Z   torch.all(x, dim, out=out)
2022-11-23T03:06:45.1177705Z /var/lib/jenkins/workspace/test/test_reductions.py:1701: UserWarning: An output with one or more elements was resized since it had shape [1, 1, 3, 2], which does not match the required output shape [1, 1, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:06:45.1179002Z   torch.all(x, dim, out=out)
2022-11-23T03:06:45.1179481Z ok (0.201s)
2022-11-23T03:06:45.1181311Z   test_all_any_vs_numpy_cuda_complex128 (__main__.TestReductionsCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:2493: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:275.)
2022-11-23T03:06:45.1182496Z   torch_result = torch_fn(t).cpu()
2022-11-23T03:06:45.1183917Z ok (0.624s)
2022-11-23T03:06:45.1184559Z   test_all_any_vs_numpy_cuda_complex64 (__main__.TestReductionsCUDA) ... ok (0.623s)
2022-11-23T03:06:45.1185312Z   test_all_any_vs_numpy_cuda_float16 (__main__.TestReductionsCUDA) ... ok (0.622s)
2022-11-23T03:06:45.1186017Z   test_all_any_vs_numpy_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.622s)
2022-11-23T03:06:45.1186845Z   test_all_any_vs_numpy_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.621s)
2022-11-23T03:06:45.1187621Z   test_all_any_vs_numpy_cuda_int16 (__main__.TestReductionsCUDA) ... ok (0.603s)
2022-11-23T03:06:45.1188359Z   test_all_any_vs_numpy_cuda_int32 (__main__.TestReductionsCUDA) ... ok (0.603s)
2022-11-23T03:06:45.1189057Z   test_all_any_vs_numpy_cuda_int64 (__main__.TestReductionsCUDA) ... ok (0.602s)
2022-11-23T03:06:45.1190049Z   test_all_any_vs_numpy_cuda_int8 (__main__.TestReductionsCUDA) ... ok (0.602s)
2022-11-23T03:06:45.1191230Z   test_all_any_vs_numpy_cuda_uint8 (__main__.TestReductionsCUDA) ... ok (0.178s)
2022-11-23T03:06:45.1192040Z   test_all_any_with_dim_cuda (__main__.TestReductionsCUDA) ... ok (0.009s)
2022-11-23T03:06:45.1192683Z   test_amax_cuda_bool (__main__.TestReductionsCUDA) ... ok (0.005s)
2022-11-23T03:06:45.1193456Z   test_amax_cuda_float16 (__main__.TestReductionsCUDA) ... ok (0.007s)
2022-11-23T03:06:45.1194160Z   test_amax_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.006s)
2022-11-23T03:06:45.1194907Z   test_amax_cuda_int32 (__main__.TestReductionsCUDA) ... ok (0.006s)
2022-11-23T03:06:45.1195583Z   test_amax_cuda_int64 (__main__.TestReductionsCUDA) ... ok (0.005s)
2022-11-23T03:06:45.1196302Z   test_amin_amax_some_dims_cuda (__main__.TestReductionsCUDA) ... ok (0.047s)
2022-11-23T03:06:45.1197040Z   test_amin_cuda_bool (__main__.TestReductionsCUDA) ... ok (0.005s)
2022-11-23T03:06:45.1197753Z   test_amin_cuda_float16 (__main__.TestReductionsCUDA) ... ok (0.006s)
2022-11-23T03:06:45.1198420Z   test_amin_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.006s)
2022-11-23T03:06:45.1199167Z   test_amin_cuda_int32 (__main__.TestReductionsCUDA) ... ok (0.005s)
2022-11-23T03:06:45.1199826Z   test_amin_cuda_int64 (__main__.TestReductionsCUDA) ... ok (0.184s)
2022-11-23T03:06:45.1200538Z   test_aminmax_cuda_bfloat16 (__main__.TestReductionsCUDA) ... ok (0.014s)
2022-11-23T03:06:45.1201560Z   test_aminmax_cuda_float16 (__main__.TestReductionsCUDA) ... ok (0.013s)
2022-11-23T03:06:45.1202354Z   test_aminmax_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.013s)
2022-11-23T03:06:45.1203075Z   test_argminmax_axis_with_dim_one_cuda (__main__.TestReductionsCUDA) ... ok (0.005s)
2022-11-23T03:06:45.1205268Z   test_argminmax_large_axis_cuda (__main__.TestReductionsCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/63933 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T03:06:45.1207415Z   test_argminmax_multiple_cuda_float16 (__main__.TestReductionsCUDA) ... /var/lib/jenkins/workspace/test/test_reductions.py:1621: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T03:06:45.1208728Z   x[mask] = torch.tensor(max_val + 1, dtype=dtype)
2022-11-23T03:06:45.1209775Z /var/lib/jenkins/workspace/test/test_reductions.py:1624: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T03:06:45.1211087Z   x[mask] = torch.tensor(min_val - 1, dtype=dtype)
2022-11-23T03:06:45.1211591Z ok (0.034s)
2022-11-23T03:06:45.1212194Z   test_argminmax_multiple_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.046s)
2022-11-23T03:06:45.1212985Z   test_argminmax_multiple_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.046s)
2022-11-23T03:06:45.1213753Z   test_argminmax_multiple_cuda_int16 (__main__.TestReductionsCUDA) ... ok (0.036s)
2022-11-23T03:06:45.1214504Z   test_argminmax_multiple_cuda_int32 (__main__.TestReductionsCUDA) ... ok (0.036s)
2022-11-23T03:06:45.1215312Z   test_argminmax_multiple_cuda_int64 (__main__.TestReductionsCUDA) ... ok (0.037s)
2022-11-23T03:06:45.1216003Z   test_argminmax_multiple_cuda_int8 (__main__.TestReductionsCUDA) ... ok (0.036s)
2022-11-23T03:06:45.1217235Z   test_argminmax_multiple_cuda_uint8 (__main__.TestReductionsCUDA) ... ok (0.036s)
2022-11-23T03:06:45.1217916Z   test_bincount_cuda (__main__.TestReductionsCUDA) ... ok (0.096s)
2022-11-23T03:06:45.1218591Z   test_bucketization_cuda (__main__.TestReductionsCUDA) ... ok (0.074s)
2022-11-23T03:06:45.1219364Z   test_count_nonzero_cuda_complex128 (__main__.TestReductionsCUDA) ... ok (0.041s)
2022-11-23T03:06:45.1220430Z   test_count_nonzero_cuda_complex64 (__main__.TestReductionsCUDA) ... ok (0.042s)
2022-11-23T03:06:45.1221193Z   test_count_nonzero_cuda_float16 (__main__.TestReductionsCUDA) ... ok (0.040s)
2022-11-23T03:06:45.1222104Z   test_count_nonzero_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.040s)
2022-11-23T03:06:45.1222903Z   test_count_nonzero_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.040s)
2022-11-23T03:06:45.1223609Z   test_count_nonzero_cuda_int16 (__main__.TestReductionsCUDA) ... ok (0.018s)
2022-11-23T03:06:45.1224332Z   test_count_nonzero_cuda_int32 (__main__.TestReductionsCUDA) ... ok (0.018s)
2022-11-23T03:06:45.1225078Z   test_count_nonzero_cuda_int64 (__main__.TestReductionsCUDA) ... ok (0.019s)
2022-11-23T03:06:45.1225767Z   test_count_nonzero_cuda_int8 (__main__.TestReductionsCUDA) ... ok (0.019s)
2022-11-23T03:06:45.1226510Z   test_count_nonzero_cuda_uint8 (__main__.TestReductionsCUDA) ... ok (0.018s)
2022-11-23T03:06:45.1227276Z   test_cumprod_integer_upcast_cuda (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.001s)
2022-11-23T03:06:45.1228138Z   test_cumsum_integer_upcast_cuda (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.001s)
2022-11-23T03:06:45.1229030Z   test_dim_arg_reduction_scalar_cuda_bfloat16 (__main__.TestReductionsCUDA) ... ok (0.004s)
2022-11-23T03:06:45.1230079Z   test_dim_arg_reduction_scalar_cuda_float16 (__main__.TestReductionsCUDA) ... ok (0.004s)
2022-11-23T03:06:45.1230860Z   test_dim_arg_reduction_scalar_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.004s)
2022-11-23T03:06:45.1231589Z   test_dim_arg_reduction_scalar_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.004s)
2022-11-23T03:06:45.1232363Z   test_dim_arg_reduction_scalar_cuda_int16 (__main__.TestReductionsCUDA) ... ok (0.004s)
2022-11-23T03:06:45.1233392Z   test_dim_arg_reduction_scalar_cuda_int32 (__main__.TestReductionsCUDA) ... ok (0.005s)
2022-11-23T03:06:45.1234165Z   test_dim_arg_reduction_scalar_cuda_int64 (__main__.TestReductionsCUDA) ... ok (0.004s)
2022-11-23T03:06:45.1235018Z   test_dim_arg_reduction_scalar_cuda_int8 (__main__.TestReductionsCUDA) ... ok (0.004s)
2022-11-23T03:06:45.1235578Z   test_dim_arg_reduction_scalar_cuda_uint8 (__main__.TestReductionsCUDA) ... ok (0.004s)
2022-11-23T03:06:45.1236198Z   test_dim_default_all_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1236837Z Tests that the default dim reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1237495Z   test_dim_default_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1237891Z Tests that the default dim reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1238426Z   test_dim_default_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1238885Z Tests that the default dim reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1239339Z   test_dim_default_any_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1239810Z Tests that the default dim reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1240209Z   test_dim_default_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1240736Z Tests that the default dim reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1241126Z   test_dim_default_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1241668Z Tests that the default dim reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1242183Z   test_dim_default_count_nonzero_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1242620Z Tests that the default dim reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1242928Z   test_dim_default_keepdim_all_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1243411Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... expected failure (0.003s)
2022-11-23T03:06:45.1244060Z   test_dim_default_keepdim_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1244649Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1245050Z   test_dim_default_keepdim_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1245857Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1246653Z   test_dim_default_keepdim_any_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1247455Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... expected failure (0.002s)
2022-11-23T03:06:45.1247954Z   test_dim_default_keepdim_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1248463Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1249239Z   test_dim_default_keepdim_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1249636Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s)
2022-11-23T03:06:45.1250319Z   test_dim_default_keepdim_count_nonzero_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1251173Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s)
2022-11-23T03:06:45.1252042Z   test_dim_default_keepdim_linalg_vector_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1252479Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1253057Z   test_dim_default_keepdim_masked_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1253502Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1253905Z   test_dim_default_keepdim_masked_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1254361Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1254747Z   test_dim_default_keepdim_masked_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1255227Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1255619Z   test_dim_default_keepdim_masked_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1256055Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1256797Z   test_dim_default_keepdim_masked_logsumexp_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1257217Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1257673Z   test_dim_default_keepdim_masked_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1258114Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1258538Z   test_dim_default_keepdim_masked_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1258946Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1259358Z   test_dim_default_keepdim_masked_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1259696Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.005s)
2022-11-23T03:06:45.1260105Z   test_dim_default_keepdim_masked_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1260541Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1260970Z   test_dim_default_keepdim_masked_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1261400Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1261808Z   test_dim_default_keepdim_masked_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1262235Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1262657Z   test_dim_default_keepdim_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1263088Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1263696Z   test_dim_default_keepdim_nanmean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1264123Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1264544Z   test_dim_default_keepdim_nansum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1264956Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1265373Z   test_dim_default_keepdim_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1265821Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1266251Z   test_dim_default_keepdim_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1266721Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s)
2022-11-23T03:06:45.1267160Z   test_dim_default_keepdim_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1267601Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s)
2022-11-23T03:06:45.1268011Z   test_dim_default_keepdim_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1268451Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s)
2022-11-23T03:06:45.1268986Z   test_dim_default_linalg_vector_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1269398Z Tests that the default dim reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1269759Z   test_dim_default_masked_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1270134Z Tests that the default dim reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1270510Z   test_dim_default_masked_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1270870Z Tests that the default dim reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1271252Z   test_dim_default_masked_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1271642Z Tests that the default dim reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1272005Z   test_dim_default_masked_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1272386Z Tests that the default dim reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1272780Z   test_dim_default_masked_logsumexp_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1273173Z Tests that the default dim reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1273531Z   test_dim_default_masked_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1273907Z Tests that the default dim reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1274308Z   test_dim_default_masked_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1274663Z Tests that the default dim reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1275034Z   test_dim_default_masked_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1275407Z Tests that the default dim reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1275772Z   test_dim_default_masked_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1276147Z Tests that the default dim reduces all dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1276526Z   test_dim_default_masked_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1276909Z Tests that the default dim reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1277273Z   test_dim_default_masked_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1277647Z Tests that the default dim reduces all dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1278016Z   test_dim_default_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1278367Z Tests that the default dim reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1278737Z   test_dim_default_nanmean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1279106Z Tests that the default dim reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1279574Z   test_dim_default_nansum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1279928Z Tests that the default dim reduces all dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1280295Z   test_dim_default_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1280657Z Tests that the default dim reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1281011Z   test_dim_default_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1281381Z Tests that the default dim reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1281747Z   test_dim_default_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1282094Z Tests that the default dim reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1282455Z   test_dim_default_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1282818Z Tests that the default dim reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1283181Z   test_dim_empty_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1283745Z Tests that dim=[] is a no-op ... expected failure (0.003s)
2022-11-23T03:06:45.1284109Z   test_dim_empty_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1284534Z Tests that dim=[] is a no-op ... expected failure (0.002s)
2022-11-23T03:06:45.1284885Z   test_dim_empty_count_nonzero_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1285321Z Tests that dim=[] is a no-op ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1285765Z   test_dim_empty_keepdim_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1286244Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.003s)
2022-11-23T03:06:45.1286640Z   test_dim_empty_keepdim_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1287125Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.260s)
2022-11-23T03:06:45.1287536Z   test_dim_empty_keepdim_count_nonzero_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1288009Z Tests that dim=[], when keepdim=True, is a no-op ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1288428Z   test_dim_empty_keepdim_linalg_vector_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1288929Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.180s)
2022-11-23T03:06:45.1289317Z   test_dim_empty_keepdim_masked_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1289808Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.181s)
2022-11-23T03:06:45.1290219Z   test_dim_empty_keepdim_masked_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1290709Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.181s)
2022-11-23T03:06:45.1291109Z   test_dim_empty_keepdim_masked_logsumexp_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1291612Z Tests that dim=[], when keepdim=True, is a no-op ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1292017Z   test_dim_empty_keepdim_masked_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1292513Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.180s)
2022-11-23T03:06:45.1292928Z   test_dim_empty_keepdim_masked_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1293425Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.181s)
2022-11-23T03:06:45.1293812Z   test_dim_empty_keepdim_masked_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1294275Z Tests that dim=[], when keepdim=True, is a no-op ... ok (0.181s)
2022-11-23T03:06:45.1294659Z   test_dim_empty_keepdim_masked_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1295145Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.004s)
2022-11-23T03:06:45.1295533Z   test_dim_empty_keepdim_masked_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1296398Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.182s)
2022-11-23T03:06:45.1296785Z   test_dim_empty_keepdim_masked_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1297265Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.182s)
2022-11-23T03:06:45.1297848Z   test_dim_empty_keepdim_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1298332Z Tests that dim=[], when keepdim=True, is a no-op ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1298735Z   test_dim_empty_keepdim_nanmean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1299205Z Tests that dim=[], when keepdim=True, is a no-op ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1299604Z   test_dim_empty_keepdim_nansum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1300093Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.182s)
2022-11-23T03:06:45.1300470Z   test_dim_empty_keepdim_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1300947Z Tests that dim=[], when keepdim=True, is a no-op ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1301344Z   test_dim_empty_keepdim_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1301820Z Tests that dim=[], when keepdim=True, is a no-op ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1302205Z   test_dim_empty_keepdim_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1302667Z Tests that dim=[], when keepdim=True, is a no-op ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1303061Z   test_dim_empty_linalg_vector_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1303495Z Tests that dim=[] is a no-op ... expected failure (0.182s)
2022-11-23T03:06:45.1304021Z   test_dim_empty_masked_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1304475Z Tests that dim=[] is a no-op ... expected failure (0.003s)
2022-11-23T03:06:45.1304821Z   test_dim_empty_masked_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1305255Z Tests that dim=[] is a no-op ... expected failure (0.003s)
2022-11-23T03:06:45.1305636Z   test_dim_empty_masked_logsumexp_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1306078Z Tests that dim=[] is a no-op ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1306425Z   test_dim_empty_masked_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1306867Z Tests that dim=[] is a no-op ... expected failure (0.003s)
2022-11-23T03:06:45.1307234Z   test_dim_empty_masked_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1307654Z Tests that dim=[] is a no-op ... expected failure (0.003s)
2022-11-23T03:06:45.1308019Z   test_dim_empty_masked_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1308425Z Tests that dim=[] is a no-op ... ok (0.003s)
2022-11-23T03:06:45.1308762Z   test_dim_empty_masked_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1309193Z Tests that dim=[] is a no-op ... expected failure (0.004s)
2022-11-23T03:06:45.1309557Z   test_dim_empty_masked_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1309991Z Tests that dim=[] is a no-op ... expected failure (0.003s)
2022-11-23T03:06:45.1310336Z   test_dim_empty_masked_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1310766Z Tests that dim=[] is a no-op ... expected failure (0.004s)
2022-11-23T03:06:45.1311118Z   test_dim_empty_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1311527Z Tests that dim=[] is a no-op ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1311888Z   test_dim_empty_nanmean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1312314Z Tests that dim=[] is a no-op ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1312655Z   test_dim_empty_nansum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1313086Z Tests that dim=[] is a no-op ... expected failure (0.003s)
2022-11-23T03:06:45.1313445Z   test_dim_empty_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1313849Z Tests that dim=[] is a no-op ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1314198Z   test_dim_empty_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1314618Z Tests that dim=[] is a no-op ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1314967Z   test_dim_empty_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1315364Z Tests that dim=[] is a no-op ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1315823Z   test_dim_multi_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1316188Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.003s)
2022-11-23T03:06:45.1316537Z   test_dim_multi_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1316904Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.003s)
2022-11-23T03:06:45.1317293Z   test_dim_multi_count_nonzero_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1317656Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.003s)
2022-11-23T03:06:45.1318037Z   test_dim_multi_duplicate_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1318432Z Tests that an error is raised if dim has duplicate entries. ... ok (0.009s)
2022-11-23T03:06:45.1318825Z   test_dim_multi_duplicate_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1319200Z Tests that an error is raised if dim has duplicate entries. ... ok (0.009s)
2022-11-23T03:06:45.1319614Z   test_dim_multi_duplicate_count_nonzero_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1320026Z Tests that an error is raised if dim has duplicate entries. ... ok (0.011s)
2022-11-23T03:06:45.1320425Z   test_dim_multi_duplicate_linalg_vector_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1320844Z Tests that an error is raised if dim has duplicate entries. ... ok (0.008s)
2022-11-23T03:06:45.1321329Z   test_dim_multi_duplicate_masked_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1321741Z Tests that an error is raised if dim has duplicate entries. ... ok (0.003s)
2022-11-23T03:06:45.1322127Z   test_dim_multi_duplicate_masked_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1322530Z Tests that an error is raised if dim has duplicate entries. ... ok (0.002s)
2022-11-23T03:06:45.1322940Z   test_dim_multi_duplicate_masked_logsumexp_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1323340Z Tests that an error is raised if dim has duplicate entries. ... ok (0.003s)
2022-11-23T03:06:45.1323744Z   test_dim_multi_duplicate_masked_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1324153Z Tests that an error is raised if dim has duplicate entries. ... ok (0.003s)
2022-11-23T03:06:45.1324561Z   test_dim_multi_duplicate_masked_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1324946Z Tests that an error is raised if dim has duplicate entries. ... ok (0.002s)
2022-11-23T03:06:45.1325351Z   test_dim_multi_duplicate_masked_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1325757Z Tests that an error is raised if dim has duplicate entries. ... ok (0.002s)
2022-11-23T03:06:45.1326142Z   test_dim_multi_duplicate_masked_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1326544Z Tests that an error is raised if dim has duplicate entries. ... ok (0.002s)
2022-11-23T03:06:45.1326943Z   test_dim_multi_duplicate_masked_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1327348Z Tests that an error is raised if dim has duplicate entries. ... ok (0.003s)
2022-11-23T03:06:45.1327739Z   test_dim_multi_duplicate_masked_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1328142Z Tests that an error is raised if dim has duplicate entries. ... ok (0.003s)
2022-11-23T03:06:45.1328550Z   test_dim_multi_duplicate_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1328929Z Tests that an error is raised if dim has duplicate entries. ... ok (0.009s)
2022-11-23T03:06:45.1329336Z   test_dim_multi_duplicate_nanmean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1329744Z Tests that an error is raised if dim has duplicate entries. ... ok (0.011s)
2022-11-23T03:06:45.1330124Z   test_dim_multi_duplicate_nansum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1330530Z Tests that an error is raised if dim has duplicate entries. ... ok (0.009s)
2022-11-23T03:06:45.1330917Z   test_dim_multi_duplicate_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1331303Z Tests that an error is raised if dim has duplicate entries. ... ok (0.011s)
2022-11-23T03:06:45.1331673Z   test_dim_multi_duplicate_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1332165Z Tests that an error is raised if dim has duplicate entries. ... ok (0.009s)
2022-11-23T03:06:45.1332562Z   test_dim_multi_duplicate_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1332935Z Tests that an error is raised if dim has duplicate entries. ... ok (0.011s)
2022-11-23T03:06:45.1333329Z   test_dim_multi_keepdim_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1333749Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1334160Z   test_dim_multi_keepdim_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1334559Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1334990Z   test_dim_multi_keepdim_count_nonzero_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1335434Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1335878Z   test_dim_multi_keepdim_linalg_vector_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1336674Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1337096Z   test_dim_multi_keepdim_masked_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1337661Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1338072Z   test_dim_multi_keepdim_masked_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1338496Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1338928Z   test_dim_multi_keepdim_masked_logsumexp_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1339342Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1339754Z   test_dim_multi_keepdim_masked_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1340177Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1340589Z   test_dim_multi_keepdim_masked_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1340985Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1341400Z   test_dim_multi_keepdim_masked_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1341812Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1342227Z   test_dim_multi_keepdim_masked_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1342634Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1343104Z   test_dim_multi_keepdim_masked_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1343525Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1343920Z   test_dim_multi_keepdim_masked_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1344338Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1344743Z   test_dim_multi_keepdim_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1345163Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1345554Z   test_dim_multi_keepdim_nanmean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1345970Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1346370Z   test_dim_multi_keepdim_nansum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1346765Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1347303Z   test_dim_multi_keepdim_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1347714Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1348103Z   test_dim_multi_keepdim_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1348492Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1348898Z   test_dim_multi_keepdim_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1349308Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1349704Z   test_dim_multi_linalg_vector_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1350086Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.002s)
2022-11-23T03:06:45.1350466Z   test_dim_multi_masked_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1350837Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.003s)
2022-11-23T03:06:45.1351194Z   test_dim_multi_masked_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1351566Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.003s)
2022-11-23T03:06:45.1351950Z   test_dim_multi_masked_logsumexp_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1352379Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.003s)
2022-11-23T03:06:45.1352757Z   test_dim_multi_masked_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1353122Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.004s)
2022-11-23T03:06:45.1353468Z   test_dim_multi_masked_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1353833Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.003s)
2022-11-23T03:06:45.1354203Z   test_dim_multi_masked_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1354597Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.003s)
2022-11-23T03:06:45.1354958Z   test_dim_multi_masked_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1355330Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.003s)
2022-11-23T03:06:45.1355700Z   test_dim_multi_masked_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1356052Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.003s)
2022-11-23T03:06:45.1356419Z   test_dim_multi_masked_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1356787Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.003s)
2022-11-23T03:06:45.1357141Z   test_dim_multi_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1357481Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.002s)
2022-11-23T03:06:45.1357845Z   test_dim_multi_nanmean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1358207Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.004s)
2022-11-23T03:06:45.1358553Z   test_dim_multi_nansum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1358919Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.002s)
2022-11-23T03:06:45.1359274Z   test_dim_multi_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1359614Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.002s)
2022-11-23T03:06:45.1359971Z   test_dim_multi_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1360328Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.003s)
2022-11-23T03:06:45.1360697Z   test_dim_multi_unsorted_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1361070Z Tests that operator correctly handles unsorted dim list. ... ok (0.002s)
2022-11-23T03:06:45.1361452Z   test_dim_multi_unsorted_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1361839Z Tests that operator correctly handles unsorted dim list. ... ok (0.002s)
2022-11-23T03:06:45.1362233Z   test_dim_multi_unsorted_count_nonzero_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1362715Z Tests that operator correctly handles unsorted dim list. ... ok (0.002s)
2022-11-23T03:06:45.1363112Z   test_dim_multi_unsorted_keepdim_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1363523Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.002s)
2022-11-23T03:06:45.1363949Z   test_dim_multi_unsorted_keepdim_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1364383Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.003s)
2022-11-23T03:06:45.1364820Z   test_dim_multi_unsorted_keepdim_count_nonzero_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1365266Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1365728Z   test_dim_multi_unsorted_keepdim_linalg_vector_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1366175Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.002s)
2022-11-23T03:06:45.1366687Z   test_dim_multi_unsorted_keepdim_masked_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1367114Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.002s)
2022-11-23T03:06:45.1367546Z   test_dim_multi_unsorted_keepdim_masked_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1368045Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.002s)
2022-11-23T03:06:45.1368541Z   test_dim_multi_unsorted_keepdim_masked_logsumexp_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1369045Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.003s)
2022-11-23T03:06:45.1369486Z   test_dim_multi_unsorted_keepdim_masked_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1369925Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.003s)
2022-11-23T03:06:45.1370343Z   test_dim_multi_unsorted_keepdim_masked_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1370776Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.002s)
2022-11-23T03:06:45.1371211Z   test_dim_multi_unsorted_keepdim_masked_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1371634Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.004s)
2022-11-23T03:06:45.1372061Z   test_dim_multi_unsorted_keepdim_masked_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1372500Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.003s)
2022-11-23T03:06:45.1372936Z   test_dim_multi_unsorted_keepdim_masked_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1373355Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.003s)
2022-11-23T03:06:45.1373781Z   test_dim_multi_unsorted_keepdim_masked_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1374214Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.003s)
2022-11-23T03:06:45.1374637Z   test_dim_multi_unsorted_keepdim_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1375072Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.002s)
2022-11-23T03:06:45.1375500Z   test_dim_multi_unsorted_keepdim_nanmean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1375941Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.003s)
2022-11-23T03:06:45.1376732Z   test_dim_multi_unsorted_keepdim_nansum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1377143Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.002s)
2022-11-23T03:06:45.1377571Z   test_dim_multi_unsorted_keepdim_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1377982Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.002s)
2022-11-23T03:06:45.1378412Z   test_dim_multi_unsorted_keepdim_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1379014Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.003s)
2022-11-23T03:06:45.1379441Z   test_dim_multi_unsorted_keepdim_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1379848Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.002s)
2022-11-23T03:06:45.1380284Z   test_dim_multi_unsorted_linalg_vector_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1380698Z Tests that operator correctly handles unsorted dim list. ... ok (0.003s)
2022-11-23T03:06:45.1381084Z   test_dim_multi_unsorted_masked_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1381486Z Tests that operator correctly handles unsorted dim list. ... ok (0.005s)
2022-11-23T03:06:45.1381881Z   test_dim_multi_unsorted_masked_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1382281Z Tests that operator correctly handles unsorted dim list. ... ok (0.003s)
2022-11-23T03:06:45.1382682Z   test_dim_multi_unsorted_masked_logsumexp_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1383098Z Tests that operator correctly handles unsorted dim list. ... ok (0.003s)
2022-11-23T03:06:45.1383493Z   test_dim_multi_unsorted_masked_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1383875Z Tests that operator correctly handles unsorted dim list. ... ok (0.002s)
2022-11-23T03:06:45.1384381Z   test_dim_multi_unsorted_masked_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1384784Z Tests that operator correctly handles unsorted dim list. ... ok (0.002s)
2022-11-23T03:06:45.1385179Z   test_dim_multi_unsorted_masked_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1385554Z Tests that operator correctly handles unsorted dim list. ... ok (0.003s)
2022-11-23T03:06:45.1385944Z   test_dim_multi_unsorted_masked_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1386334Z Tests that operator correctly handles unsorted dim list. ... ok (0.003s)
2022-11-23T03:06:45.1386702Z   test_dim_multi_unsorted_masked_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1387103Z Tests that operator correctly handles unsorted dim list. ... ok (0.002s)
2022-11-23T03:06:45.1387492Z   test_dim_multi_unsorted_masked_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1387862Z Tests that operator correctly handles unsorted dim list. ... ok (0.003s)
2022-11-23T03:06:45.1388245Z   test_dim_multi_unsorted_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1388638Z Tests that operator correctly handles unsorted dim list. ... ok (0.002s)
2022-11-23T03:06:45.1389029Z   test_dim_multi_unsorted_nanmean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1389410Z Tests that operator correctly handles unsorted dim list. ... ok (0.002s)
2022-11-23T03:06:45.1389793Z   test_dim_multi_unsorted_nansum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1390182Z Tests that operator correctly handles unsorted dim list. ... ok (0.002s)
2022-11-23T03:06:45.1390546Z   test_dim_multi_unsorted_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1390942Z Tests that operator correctly handles unsorted dim list. ... ok (0.003s)
2022-11-23T03:06:45.1391323Z   test_dim_multi_unsorted_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1391713Z Tests that operator correctly handles unsorted dim list. ... ok (0.002s)
2022-11-23T03:06:45.1392078Z   test_dim_multi_unsorted_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1392468Z Tests that operator correctly handles unsorted dim list. ... ok (0.002s)
2022-11-23T03:06:45.1392864Z   test_dim_multi_unsupported_all_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1393454Z Tests that ops claiming to not support multi dim actually don't. ... ok (0.002s)
2022-11-23T03:06:45.1393864Z   test_dim_multi_unsupported_any_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1394357Z Tests that ops claiming to not support multi dim actually don't. ... ok (0.002s)
2022-11-23T03:06:45.1394753Z   test_dim_multi_unsupported_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1395426Z Tests that ops claiming to not support multi dim actually don't. ... ok (0.002s)
2022-11-23T03:06:45.1395833Z   test_dim_multi_unsupported_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1396328Z Tests that ops claiming to not support multi dim actually don't. ... ok (0.002s)
2022-11-23T03:06:45.1396731Z   test_dim_multi_unsupported_masked_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1397244Z Tests that ops claiming to not support multi dim actually don't. ... ok (0.002s)
2022-11-23T03:06:45.1397670Z   test_dim_multi_unsupported_masked_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1398153Z Tests that ops claiming to not support multi dim actually don't. ... ok (0.003s)
2022-11-23T03:06:45.1398569Z   test_dim_multi_unsupported_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1399071Z Tests that ops claiming to not support multi dim actually don't. ... ok (0.002s)
2022-11-23T03:06:45.1399452Z   test_dim_multi_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1399806Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.003s)
2022-11-23T03:06:45.1400176Z   test_dim_ndim_limit_all_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1400576Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s)
2022-11-23T03:06:45.1400952Z   test_dim_ndim_limit_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1401435Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s)
2022-11-23T03:06:45.1401838Z   test_dim_ndim_limit_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1402232Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s)
2022-11-23T03:06:45.1402599Z   test_dim_ndim_limit_any_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1402993Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s)
2022-11-23T03:06:45.1403392Z   test_dim_ndim_limit_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1403779Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s)
2022-11-23T03:06:45.1404169Z   test_dim_ndim_limit_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1404568Z Tests that an exception is raised when reducing a tensor with more ... ok (0.010s)
2022-11-23T03:06:45.1404965Z   test_dim_ndim_limit_count_nonzero_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1405377Z Tests that an exception is raised when reducing a tensor with more ... ok (0.012s)
2022-11-23T03:06:45.1405796Z   test_dim_ndim_limit_linalg_vector_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1406218Z Tests that an exception is raised when reducing a tensor with more ... ok (0.008s)
2022-11-23T03:06:45.1406607Z   test_dim_ndim_limit_masked_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1407012Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s)
2022-11-23T03:06:45.1407432Z   test_dim_ndim_limit_masked_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1407825Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s)
2022-11-23T03:06:45.1408232Z   test_dim_ndim_limit_masked_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1408646Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s)
2022-11-23T03:06:45.1409052Z   test_dim_ndim_limit_masked_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1409441Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s)
2022-11-23T03:06:45.1409846Z   test_dim_ndim_limit_masked_logsumexp_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1410255Z Tests that an exception is raised when reducing a tensor with more ... ok (0.012s)
2022-11-23T03:06:45.1410641Z   test_dim_ndim_limit_masked_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1411044Z Tests that an exception is raised when reducing a tensor with more ... ok (0.010s)
2022-11-23T03:06:45.1411446Z   test_dim_ndim_limit_masked_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1411942Z Tests that an exception is raised when reducing a tensor with more ... ok (0.008s)
2022-11-23T03:06:45.1412323Z   test_dim_ndim_limit_masked_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1412727Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s)
2022-11-23T03:06:45.1413143Z   test_dim_ndim_limit_masked_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1413535Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s)
2022-11-23T03:06:45.1413935Z   test_dim_ndim_limit_masked_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1414335Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s)
2022-11-23T03:06:45.1414730Z   test_dim_ndim_limit_masked_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1415112Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s)
2022-11-23T03:06:45.1415514Z   test_dim_ndim_limit_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1415910Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s)
2022-11-23T03:06:45.1416778Z   test_dim_ndim_limit_nanmean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1417105Z Tests that an exception is raised when reducing a tensor with more ... ok (0.010s)
2022-11-23T03:06:45.1417695Z   test_dim_ndim_limit_nansum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1418091Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s)
2022-11-23T03:06:45.1418486Z   test_dim_ndim_limit_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1418883Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s)
2022-11-23T03:06:45.1419273Z   test_dim_ndim_limit_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1419644Z Tests that an exception is raised when reducing a tensor with more ... ok (0.011s)
2022-11-23T03:06:45.1420041Z   test_dim_ndim_limit_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1420428Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s)
2022-11-23T03:06:45.1420800Z   test_dim_ndim_limit_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1421190Z Tests that an exception is raised when reducing a tensor with more ... ok (0.010s)
2022-11-23T03:06:45.1421579Z   test_dim_none_all_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1421966Z Tests that dim=None reduces all dimensions. ... expected failure (0.006s)
2022-11-23T03:06:45.1422328Z   test_dim_none_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1422688Z Tests that dim=None reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1423050Z   test_dim_none_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1423392Z Tests that dim=None reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1423742Z   test_dim_none_any_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1424117Z Tests that dim=None reduces all dimensions. ... expected failure (0.007s)
2022-11-23T03:06:45.1424487Z   test_dim_none_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1424852Z Tests that dim=None reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1425208Z   test_dim_none_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1425568Z Tests that dim=None reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1425918Z   test_dim_none_count_nonzero_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1426288Z Tests that dim=None reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1426700Z   test_dim_none_keepdim_all_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1427115Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... expected failure (0.006s)
2022-11-23T03:06:45.1427547Z   test_dim_none_keepdim_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1427960Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1428506Z   test_dim_none_keepdim_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1428931Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1429337Z   test_dim_none_keepdim_any_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1429772Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... expected failure (0.006s)
2022-11-23T03:06:45.1430186Z   test_dim_none_keepdim_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1430615Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1431043Z   test_dim_none_keepdim_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1431456Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s)
2022-11-23T03:06:45.1431895Z   test_dim_none_keepdim_count_nonzero_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1432341Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1432787Z   test_dim_none_keepdim_linalg_vector_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1433195Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1433679Z   test_dim_none_keepdim_masked_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1434103Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1434509Z   test_dim_none_keepdim_masked_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1434904Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1435323Z   test_dim_none_keepdim_masked_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1435813Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1436142Z   test_dim_none_keepdim_masked_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1436561Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1436987Z   test_dim_none_keepdim_masked_logsumexp_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1437411Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1437810Z   test_dim_none_keepdim_masked_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1438227Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1438636Z   test_dim_none_keepdim_masked_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1439032Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1439445Z   test_dim_none_keepdim_masked_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1439858Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1440278Z   test_dim_none_keepdim_masked_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1440676Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1441081Z   test_dim_none_keepdim_masked_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1441493Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1441882Z   test_dim_none_keepdim_masked_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1442289Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1442687Z   test_dim_none_keepdim_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1443101Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1443494Z   test_dim_none_keepdim_nanmean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1444022Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1444421Z   test_dim_none_keepdim_nansum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1444811Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1445213Z   test_dim_none_keepdim_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1445644Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1446051Z   test_dim_none_keepdim_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1446456Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1446928Z   test_dim_none_keepdim_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1447334Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1448073Z   test_dim_none_keepdim_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1448619Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1449029Z   test_dim_none_linalg_vector_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1449390Z Tests that dim=None reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1449866Z   test_dim_none_masked_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1450245Z Tests that dim=None reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1450604Z   test_dim_none_masked_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1450948Z Tests that dim=None reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1451311Z   test_dim_none_masked_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1451682Z Tests that dim=None reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1452029Z   test_dim_none_masked_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1452394Z Tests that dim=None reduces all dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1452779Z   test_dim_none_masked_logsumexp_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1453138Z Tests that dim=None reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1453498Z   test_dim_none_masked_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1453857Z Tests that dim=None reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1454215Z   test_dim_none_masked_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1454559Z Tests that dim=None reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1454914Z   test_dim_none_masked_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1455280Z Tests that dim=None reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1455627Z   test_dim_none_masked_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1455985Z Tests that dim=None reduces all dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1456691Z   test_dim_none_masked_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1457023Z Tests that dim=None reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1457378Z   test_dim_none_masked_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1457741Z Tests that dim=None reduces all dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1458089Z   test_dim_none_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1458430Z Tests that dim=None reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1458834Z   test_dim_none_nanmean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1459262Z Tests that dim=None reduces all dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1459972Z   test_dim_none_nansum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1460301Z Tests that dim=None reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1460651Z   test_dim_none_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1461010Z Tests that dim=None reduces all dimensions. ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1461594Z   test_dim_none_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1461947Z Tests that dim=None reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1462294Z   test_dim_none_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1462631Z Tests that dim=None reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1462978Z   test_dim_none_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1463338Z Tests that dim=None reduces all dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1463679Z   test_dim_offbounds_all_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1464270Z Tests that passing an off-bounds dim throws ... ok (0.008s)
2022-11-23T03:06:45.1464633Z   test_dim_offbounds_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1465049Z Tests that passing an off-bounds dim throws ... ok (0.008s)
2022-11-23T03:06:45.1465413Z   test_dim_offbounds_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1465845Z Tests that passing an off-bounds dim throws ... ok (0.008s)
2022-11-23T03:06:45.1466211Z   test_dim_offbounds_any_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1466679Z Tests that passing an off-bounds dim throws ... ok (0.008s)
2022-11-23T03:06:45.1467051Z   test_dim_offbounds_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1467487Z Tests that passing an off-bounds dim throws ... ok (0.008s)
2022-11-23T03:06:45.1467934Z   test_dim_offbounds_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1468382Z Tests that passing an off-bounds dim throws ... ok (0.008s)
2022-11-23T03:06:45.1468759Z   test_dim_offbounds_count_nonzero_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1469188Z Tests that passing an off-bounds dim throws ... ok (0.011s)
2022-11-23T03:06:45.1469574Z   test_dim_offbounds_linalg_vector_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1470040Z Tests that passing an off-bounds dim throws ... ok (0.008s)
2022-11-23T03:06:45.1470414Z   test_dim_offbounds_masked_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1470979Z Tests that passing an off-bounds dim throws ... ok (0.003s)
2022-11-23T03:06:45.1471733Z   test_dim_offbounds_masked_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1472112Z Tests that passing an off-bounds dim throws ... ok (0.002s)
2022-11-23T03:06:45.1472476Z   test_dim_offbounds_masked_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1472929Z Tests that passing an off-bounds dim throws ... ok (0.008s)
2022-11-23T03:06:45.1473309Z   test_dim_offbounds_masked_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1473735Z Tests that passing an off-bounds dim throws ... ok (0.008s)
2022-11-23T03:06:45.1474120Z   test_dim_offbounds_masked_logsumexp_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1474573Z Tests that passing an off-bounds dim throws ... ok (0.002s)
2022-11-23T03:06:45.1474950Z   test_dim_offbounds_masked_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1475374Z Tests that passing an off-bounds dim throws ... ok (0.002s)
2022-11-23T03:06:45.1475753Z   test_dim_offbounds_masked_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1476314Z Tests that passing an off-bounds dim throws ... ok (0.002s)
2022-11-23T03:06:45.1476551Z   test_dim_offbounds_masked_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1476991Z Tests that passing an off-bounds dim throws ... ok (0.002s)
2022-11-23T03:06:45.1477372Z   test_dim_offbounds_masked_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1477798Z Tests that passing an off-bounds dim throws ... ok (0.003s)
2022-11-23T03:06:45.1478257Z   test_dim_offbounds_masked_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1478617Z Tests that passing an off-bounds dim throws ... ok (0.002s)
2022-11-23T03:06:45.1479216Z   test_dim_offbounds_masked_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1479773Z Tests that passing an off-bounds dim throws ... ok (0.002s)
2022-11-23T03:06:45.1480027Z   test_dim_offbounds_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1480607Z Tests that passing an off-bounds dim throws ... ok (0.008s)
2022-11-23T03:06:45.1480946Z   test_dim_offbounds_nanmean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1481367Z Tests that passing an off-bounds dim throws ... ok (0.009s)
2022-11-23T03:06:45.1481733Z   test_dim_offbounds_nansum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1482160Z Tests that passing an off-bounds dim throws ... ok (0.008s)
2022-11-23T03:06:45.1482538Z   test_dim_offbounds_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1482973Z Tests that passing an off-bounds dim throws ... ok (0.008s)
2022-11-23T03:06:45.1483334Z   test_dim_offbounds_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1483747Z Tests that passing an off-bounds dim throws ... ok (0.010s)
2022-11-23T03:06:45.1484107Z   test_dim_offbounds_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1484529Z Tests that passing an off-bounds dim throws ... ok (0.009s)
2022-11-23T03:06:45.1484874Z   test_dim_offbounds_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1485301Z Tests that passing an off-bounds dim throws ... ok (0.010s)
2022-11-23T03:06:45.1486380Z   test_dim_reduction_cuda_bfloat16 (__main__.TestReductionsCUDA) ... /var/lib/jenkins/workspace/test/test_reductions.py:1940: UserWarning: An output with one or more elements was resized since it had shape [2, 3], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:06:45.1487331Z   torch.sum(x, 0, out=y)
2022-11-23T03:06:45.1487556Z ok (0.061s)
2022-11-23T03:06:45.1487885Z   test_dim_reduction_cuda_float16 (__main__.TestReductionsCUDA) ... ok (0.058s)
2022-11-23T03:06:45.1488293Z   test_dim_reduction_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.053s)
2022-11-23T03:06:45.1488704Z   test_dim_reduction_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.055s)
2022-11-23T03:06:45.1489093Z   test_dim_reduction_cuda_int16 (__main__.TestReductionsCUDA) ... ok (0.050s)
2022-11-23T03:06:45.1489493Z   test_dim_reduction_cuda_int32 (__main__.TestReductionsCUDA) ... ok (0.051s)
2022-11-23T03:06:45.1489898Z   test_dim_reduction_cuda_int64 (__main__.TestReductionsCUDA) ... ok (0.051s)
2022-11-23T03:06:45.1490282Z   test_dim_reduction_cuda_int8 (__main__.TestReductionsCUDA) ... ok (0.050s)
2022-11-23T03:06:45.1490736Z   test_dim_reduction_lastdim_cuda_bfloat16 (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:06:45.1491230Z   test_dim_reduction_lastdim_cuda_float32 (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:06:45.1491682Z   test_dim_reduction_less_than_64_cuda (__main__.TestReductionsCUDA) ... ok (0.117s)
2022-11-23T03:06:45.1492060Z   test_dim_single_all_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1492418Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1492770Z   test_dim_single_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1493101Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1493445Z   test_dim_single_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1493793Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1494242Z   test_dim_single_any_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1494571Z Tests that dim=i reduces dimension i. ... ok (0.004s)
2022-11-23T03:06:45.1494927Z   test_dim_single_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1495280Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1495609Z   test_dim_single_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1495955Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1496764Z   test_dim_single_count_nonzero_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1497268Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1497605Z   test_dim_single_keepdim_all_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1498013Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1498398Z   test_dim_single_keepdim_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1498809Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1499241Z   test_dim_single_keepdim_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1499612Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1500089Z   test_dim_single_keepdim_any_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1500394Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1500846Z   test_dim_single_keepdim_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1501240Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1501654Z   test_dim_single_keepdim_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1502041Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1502503Z   test_dim_single_keepdim_count_nonzero_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1502933Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1503591Z   test_dim_single_keepdim_linalg_vector_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1504043Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1504431Z   test_dim_single_keepdim_masked_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1504840Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1505258Z   test_dim_single_keepdim_masked_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1505663Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1506058Z   test_dim_single_keepdim_masked_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1506474Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1506961Z   test_dim_single_keepdim_masked_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1507360Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1507777Z   test_dim_single_keepdim_masked_logsumexp_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1508201Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.005s)
2022-11-23T03:06:45.1508620Z   test_dim_single_keepdim_masked_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1509013Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1509427Z   test_dim_single_keepdim_masked_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1509833Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1510223Z   test_dim_single_keepdim_masked_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1510701Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1511045Z   test_dim_single_keepdim_masked_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1511556Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.005s)
2022-11-23T03:06:45.1511841Z   test_dim_single_keepdim_masked_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1512243Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.005s)
2022-11-23T03:06:45.1512648Z   test_dim_single_keepdim_masked_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1513138Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.005s)
2022-11-23T03:06:45.1513531Z   test_dim_single_keepdim_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1513936Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1514335Z   test_dim_single_keepdim_nanmean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1514726Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1515125Z   test_dim_single_keepdim_nansum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1515526Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1515902Z   test_dim_single_keepdim_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1516305Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1516700Z   test_dim_single_keepdim_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1517104Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1517479Z   test_dim_single_keepdim_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1517874Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.004s)
2022-11-23T03:06:45.1518269Z   test_dim_single_keepdim_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1518713Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.003s)
2022-11-23T03:06:45.1519126Z   test_dim_single_linalg_vector_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1519494Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1519901Z   test_dim_single_masked_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1520484Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1520835Z   test_dim_single_masked_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1521096Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1521450Z   test_dim_single_masked_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1521806Z Tests that dim=i reduces dimension i. ... ok (0.004s)
2022-11-23T03:06:45.1522173Z   test_dim_single_masked_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1522575Z Tests that dim=i reduces dimension i. ... ok (0.004s)
2022-11-23T03:06:45.1523001Z   test_dim_single_masked_logsumexp_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1523373Z Tests that dim=i reduces dimension i. ... ok (0.005s)
2022-11-23T03:06:45.1523708Z   test_dim_single_masked_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1524060Z Tests that dim=i reduces dimension i. ... ok (0.004s)
2022-11-23T03:06:45.1524416Z   test_dim_single_masked_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1524772Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1525113Z   test_dim_single_masked_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1525470Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1525822Z   test_dim_single_masked_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1526154Z Tests that dim=i reduces dimension i. ... ok (0.005s)
2022-11-23T03:06:45.1526549Z   test_dim_single_masked_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1526904Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1527244Z   test_dim_single_masked_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1527597Z Tests that dim=i reduces dimension i. ... ok (0.006s)
2022-11-23T03:06:45.1527945Z   test_dim_single_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1528290Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1528625Z   test_dim_single_nanmean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1528974Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1529323Z   test_dim_single_nansum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1529755Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1530099Z   test_dim_single_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1530441Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1530766Z   test_dim_single_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1531116Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1531465Z   test_dim_single_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1531830Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1532131Z   test_dim_single_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1532477Z Tests that dim=i reduces dimension i. ... ok (0.003s)
2022-11-23T03:06:45.1533001Z   test_empty_tensor_empty_slice_all_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1533506Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.004s)
2022-11-23T03:06:45.1533930Z   test_empty_tensor_empty_slice_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1534416Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.014s)
2022-11-23T03:06:45.1534739Z   test_empty_tensor_empty_slice_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1535150Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.014s)
2022-11-23T03:06:45.1535668Z   test_empty_tensor_empty_slice_any_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1536312Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.003s)
2022-11-23T03:06:45.1536730Z   test_empty_tensor_empty_slice_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1537160Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.003s)
2022-11-23T03:06:45.1537577Z   test_empty_tensor_empty_slice_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1537936Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.003s)
2022-11-23T03:06:45.1538365Z   test_empty_tensor_empty_slice_count_nonzero_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1538782Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.004s)
2022-11-23T03:06:45.1539209Z   test_empty_tensor_empty_slice_linalg_vector_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1539625Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.004s)
2022-11-23T03:06:45.1540040Z   test_empty_tensor_empty_slice_masked_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1540496Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.016s)
2022-11-23T03:06:45.1540998Z   test_empty_tensor_empty_slice_masked_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1541512Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.015s)
2022-11-23T03:06:45.1541937Z   test_empty_tensor_empty_slice_masked_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1542358Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.003s)
2022-11-23T03:06:45.1542753Z   test_empty_tensor_empty_slice_masked_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1543157Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.003s)
2022-11-23T03:06:45.1543588Z   test_empty_tensor_empty_slice_masked_logsumexp_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1544024Z Tests for consistent behavior when reducing over an empty slice. ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.1544467Z   test_empty_tensor_empty_slice_masked_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1544877Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.004s)
2022-11-23T03:06:45.1545287Z   test_empty_tensor_empty_slice_masked_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1545684Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.004s)
2022-11-23T03:06:45.1546097Z   test_empty_tensor_empty_slice_masked_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1546672Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.004s)
2022-11-23T03:06:45.1547071Z   test_empty_tensor_empty_slice_masked_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1547481Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.006s)
2022-11-23T03:06:45.1547904Z   test_empty_tensor_empty_slice_masked_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1548301Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.004s)
2022-11-23T03:06:45.1548718Z   test_empty_tensor_empty_slice_masked_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1549130Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.005s)
2022-11-23T03:06:45.1549538Z   test_empty_tensor_empty_slice_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1549929Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.004s)
2022-11-23T03:06:45.1550341Z   test_empty_tensor_empty_slice_nanmean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1550897Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.004s)
2022-11-23T03:06:45.1551292Z   test_empty_tensor_empty_slice_nansum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1551811Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.004s)
2022-11-23T03:06:45.1552230Z   test_empty_tensor_empty_slice_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1552642Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.003s)
2022-11-23T03:06:45.1553030Z   test_empty_tensor_empty_slice_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1553435Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.005s)
2022-11-23T03:06:45.1553848Z   test_empty_tensor_empty_slice_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1554231Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.004s)
2022-11-23T03:06:45.1554644Z   test_empty_tensor_empty_slice_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1555060Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.004s)
2022-11-23T03:06:45.1555470Z   test_empty_tensor_nonempty_slice_all_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1555875Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.002s)
2022-11-23T03:06:45.1556294Z   test_empty_tensor_nonempty_slice_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1556718Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.003s)
2022-11-23T03:06:45.1557118Z   test_empty_tensor_nonempty_slice_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1557534Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.003s)
2022-11-23T03:06:45.1557951Z   test_empty_tensor_nonempty_slice_any_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1558383Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.002s)
2022-11-23T03:06:45.1558787Z   test_empty_tensor_nonempty_slice_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1559203Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.002s)
2022-11-23T03:06:45.1559620Z   test_empty_tensor_nonempty_slice_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1560028Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.003s)
2022-11-23T03:06:45.1560466Z   test_empty_tensor_nonempty_slice_count_nonzero_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1560907Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.003s)
2022-11-23T03:06:45.1561344Z   test_empty_tensor_nonempty_slice_linalg_vector_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1561766Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.003s)
2022-11-23T03:06:45.1562261Z   test_empty_tensor_nonempty_slice_masked_amax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1562769Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.003s)
2022-11-23T03:06:45.1563311Z   test_empty_tensor_nonempty_slice_masked_amin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1563746Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.003s)
2022-11-23T03:06:45.1564327Z   test_empty_tensor_nonempty_slice_masked_argmax_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1564943Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.002s)
2022-11-23T03:06:45.1565580Z   test_empty_tensor_nonempty_slice_masked_argmin_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1566230Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.002s)
2022-11-23T03:06:45.1566715Z   test_empty_tensor_nonempty_slice_masked_logsumexp_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1567135Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.003s)
2022-11-23T03:06:45.1567564Z   test_empty_tensor_nonempty_slice_masked_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1567985Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.004s)
2022-11-23T03:06:45.1568403Z   test_empty_tensor_nonempty_slice_masked_norm_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1568899Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.003s)
2022-11-23T03:06:45.1569331Z   test_empty_tensor_nonempty_slice_masked_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1569753Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.003s)
2022-11-23T03:06:45.1570161Z   test_empty_tensor_nonempty_slice_masked_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1570590Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.003s)
2022-11-23T03:06:45.1571012Z   test_empty_tensor_nonempty_slice_masked_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1571441Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.003s)
2022-11-23T03:06:45.1571845Z   test_empty_tensor_nonempty_slice_masked_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1572264Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.003s)
2022-11-23T03:06:45.1572681Z   test_empty_tensor_nonempty_slice_mean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1573076Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.003s)
2022-11-23T03:06:45.1573494Z   test_empty_tensor_nonempty_slice_nanmean_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1573915Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.004s)
2022-11-23T03:06:45.1574334Z   test_empty_tensor_nonempty_slice_nansum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1574801Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.003s)
2022-11-23T03:06:45.1575161Z   test_empty_tensor_nonempty_slice_prod_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1575578Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.002s)
2022-11-23T03:06:45.1575973Z   test_empty_tensor_nonempty_slice_std_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1576706Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.003s)
2022-11-23T03:06:45.1577161Z   test_empty_tensor_nonempty_slice_sum_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1577537Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.002s)
2022-11-23T03:06:45.1577937Z   test_empty_tensor_nonempty_slice_var_cuda (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1578349Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.003s)
2022-11-23T03:06:45.1578784Z   test_histc_bfloat16_cuda (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:06:45.1579174Z   test_histc_cuda (__main__.TestReductionsCUDA) ... ok (0.054s)
2022-11-23T03:06:45.1579769Z   test_histogram_cuda_float32 (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.005s)
2022-11-23T03:06:45.1580250Z   test_histogram_error_handling_cuda_float32 (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.004s)
2022-11-23T03:06:45.1580734Z   test_histogramdd_cuda_float32 (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.004s)
2022-11-23T03:06:45.1581141Z   test_identity_all_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1581534Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1581926Z   test_identity_all_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1582296Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1582692Z   test_identity_all_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1583095Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1583490Z   test_identity_all_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1583866Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1584251Z   test_identity_all_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1584644Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1585109Z   test_identity_all_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1585520Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1585908Z   test_identity_all_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1586339Z Tests that the identity value is an identity for the operator ... ok (0.004s)
2022-11-23T03:06:45.1586707Z   test_identity_all_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1628206Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1628973Z   test_identity_all_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1629391Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1629769Z   test_identity_all_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1630174Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1630588Z   test_identity_all_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1630964Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1631368Z   test_identity_all_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1631768Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1632175Z   test_identity_any_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1632553Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1632953Z   test_identity_any_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1633363Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1633751Z   test_identity_any_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1634176Z Tests that the identity value is an identity for the operator ... ok (0.004s)
2022-11-23T03:06:45.1634595Z   test_identity_any_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1634992Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1635425Z   test_identity_any_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1635828Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1636241Z   test_identity_any_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1636632Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1637040Z   test_identity_any_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1637875Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1638248Z   test_identity_any_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1638643Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1639044Z   test_identity_any_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1639450Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1639823Z   test_identity_any_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1640221Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1640612Z   test_identity_any_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1640983Z Tests that the identity value is an identity for the operator ... ok (0.004s)
2022-11-23T03:06:45.1641386Z   test_identity_any_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1641789Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1642191Z   test_identity_count_nonzero_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1642616Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1643029Z   test_identity_count_nonzero_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1643600Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1644009Z   test_identity_count_nonzero_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1644431Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1644851Z   test_identity_count_nonzero_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1645251Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1645662Z   test_identity_count_nonzero_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1646086Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1646492Z   test_identity_count_nonzero_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1646888Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1647293Z   test_identity_count_nonzero_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1647710Z Tests that the identity value is an identity for the operator ... ok (0.004s)
2022-11-23T03:06:45.1648099Z   test_identity_count_nonzero_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1648507Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1648908Z   test_identity_count_nonzero_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1649312Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1649703Z   test_identity_count_nonzero_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1650117Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1650523Z   test_identity_count_nonzero_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1650919Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1651336Z   test_identity_count_nonzero_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1651747Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1652164Z   test_identity_linalg_vector_norm_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1652565Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1652990Z   test_identity_linalg_vector_norm_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1653419Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1653819Z   test_identity_linalg_vector_norm_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1654361Z Tests that the identity value is an identity for the operator ... ok (0.004s)
2022-11-23T03:06:45.1654786Z   test_identity_linalg_vector_norm_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1655204Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1655602Z   test_identity_linalg_vector_norm_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1656013Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1656816Z   test_identity_linalg_vector_norm_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1657210Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1657612Z   test_identity_masked_norm_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1658027Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1658422Z   test_identity_masked_norm_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1658844Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1659251Z   test_identity_masked_norm_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1659744Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1660274Z   test_identity_masked_norm_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1660694Z Tests that the identity value is an identity for the operator ... ok (0.004s)
2022-11-23T03:06:45.1661105Z   test_identity_masked_prod_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1661497Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1661961Z   test_identity_masked_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1662370Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1662787Z   test_identity_masked_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1663186Z Tests that the identity value is an identity for the operator ... ok (0.009s)
2022-11-23T03:06:45.1663596Z   test_identity_masked_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1664017Z Tests that the identity value is an identity for the operator ... ok (0.007s)
2022-11-23T03:06:45.1664411Z   test_identity_masked_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1664837Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1665252Z   test_identity_masked_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1665661Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1666049Z   test_identity_masked_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1666466Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1666948Z   test_identity_masked_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1667338Z Tests that the identity value is an identity for the operator ... ok (0.004s)
2022-11-23T03:06:45.1667744Z   test_identity_masked_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1668153Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1668569Z   test_identity_masked_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1668954Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1669356Z   test_identity_masked_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1669761Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1670141Z   test_identity_masked_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1670544Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1670858Z   test_identity_masked_sum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1671058Z Tests that the identity value is an identity for the operator ... ok (0.004s)
2022-11-23T03:06:45.1671252Z   test_identity_masked_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1671449Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1671638Z   test_identity_masked_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1671837Z Tests that the identity value is an identity for the operator ... ok (0.004s)
2022-11-23T03:06:45.1672035Z   test_identity_masked_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1672232Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1672423Z   test_identity_masked_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1672619Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1672813Z   test_identity_masked_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1673009Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1673179Z   test_identity_masked_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1673528Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1673731Z   test_identity_masked_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1673929Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1674121Z   test_identity_masked_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1674322Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1674508Z   test_identity_masked_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1674700Z Tests that the identity value is an identity for the operator ... ok (0.004s)
2022-11-23T03:06:45.1674870Z   test_identity_masked_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1675064Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1675251Z   test_identity_masked_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1675448Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1675637Z   test_identity_nansum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1675832Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1676017Z   test_identity_nansum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1676212Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1676376Z   test_identity_nansum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1676565Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1676758Z   test_identity_nansum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1676948Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1677129Z   test_identity_nansum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1677322Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1677514Z   test_identity_nansum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1677708Z Tests that the identity value is an identity for the operator ... ok (0.004s)
2022-11-23T03:06:45.1677866Z   test_identity_nansum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1678061Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1678241Z   test_identity_nansum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1678434Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1678698Z   test_identity_nansum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1678893Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1679076Z   test_identity_nansum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1679246Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1679440Z   test_identity_prod_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1679632Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1679819Z   test_identity_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1680015Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1680203Z   test_identity_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1680401Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1680593Z   test_identity_prod_cuda_complex32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1681571Z Tests that the identity value is an identity for the operator ... /opt/conda/lib/python3.10/site-packages/torch/testing/_creation.py:151: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T03:06:45.1681829Z   result = torch.empty(shape, device=device, dtype=dtype)
2022-11-23T03:06:45.1681949Z ok (3.110s)
2022-11-23T03:06:45.1682142Z   test_identity_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1682340Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1682522Z   test_identity_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1682723Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1682906Z   test_identity_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1683104Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1683261Z   test_identity_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1683455Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1683637Z   test_identity_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1683834Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1684011Z   test_identity_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1684200Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1684382Z   test_identity_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1684577Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1684737Z   test_identity_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1685038Z Tests that the identity value is an identity for the operator ... ok (0.004s)
2022-11-23T03:06:45.1685220Z   test_identity_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1685413Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1685594Z   test_identity_sum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1685790Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1685976Z   test_identity_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1686171Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1686336Z   test_identity_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1686528Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1686714Z   test_identity_sum_cuda_complex32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1686911Z Tests that the identity value is an identity for the operator ... ok (1.190s)
2022-11-23T03:06:45.1687170Z   test_identity_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1687364Z Tests that the identity value is an identity for the operator ... ok (0.004s)
2022-11-23T03:06:45.1687547Z   test_identity_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1687727Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1687912Z   test_identity_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1688106Z Tests that the identity value is an identity for the operator ... ok (0.004s)
2022-11-23T03:06:45.1688287Z   test_identity_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1688481Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1688656Z   test_identity_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1688851Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1689039Z   test_identity_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1689211Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1689390Z   test_identity_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1689583Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1689830Z   test_identity_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1690034Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1690212Z   test_identity_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1690407Z Tests that the identity value is an identity for the operator ... ok (0.003s)
2022-11-23T03:06:45.1690601Z   test_logsumexp_cuda (__main__.TestReductionsCUDA) ... ok (0.007s)
2022-11-23T03:06:45.1690805Z   test_logsumexp_dim_cuda (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:06:45.1690994Z   test_max_cuda_bool (__main__.TestReductionsCUDA) ... ok (0.006s)
2022-11-23T03:06:45.1691178Z   test_max_cuda_float16 (__main__.TestReductionsCUDA) ... ok (0.008s)
2022-11-23T03:06:45.1691362Z   test_max_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.008s)
2022-11-23T03:06:45.1691541Z   test_max_cuda_int64 (__main__.TestReductionsCUDA) ... ok (0.006s)
2022-11-23T03:06:45.1691780Z   test_max_elementwise_cuda (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.001s)
2022-11-23T03:06:45.1692006Z   test_max_mixed_devices_cuda (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:06:45.1692207Z   test_max_with_inf_cuda_bfloat16 (__main__.TestReductionsCUDA) ... ok (0.003s)
2022-11-23T03:06:45.1692386Z   test_max_with_inf_cuda_float16 (__main__.TestReductionsCUDA) ... ok (0.004s)
2022-11-23T03:06:45.1692587Z   test_max_with_inf_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.003s)
2022-11-23T03:06:45.1692784Z   test_max_with_inf_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.003s)
2022-11-23T03:06:45.1693003Z   test_mean_dim_cuda (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:06:45.1693240Z   test_mean_int_with_optdtype_cuda (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:06:45.1693448Z   test_median_corner_cases_cuda (__main__.TestReductionsCUDA) ... ok (0.017s)
2022-11-23T03:06:45.1694058Z   test_median_nan_values_cuda_float16 (__main__.TestReductionsCUDA) ... /opt/conda/lib/python3.10/site-packages/numpy/lib/nanfunctions.py:1119: RuntimeWarning: All-NaN slice encountered
2022-11-23T03:06:45.1694255Z   r, k = function_base._ureduce(a, func=_nanmedian, axis=axis, out=out,
2022-11-23T03:06:45.1694359Z ok (0.093s)
2022-11-23T03:06:45.1694543Z   test_median_nan_values_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.088s)
2022-11-23T03:06:45.1694746Z   test_median_nan_values_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.085s)
2022-11-23T03:06:45.1694960Z   test_median_real_values_cuda_float16 (__main__.TestReductionsCUDA) ... ok (0.040s)
2022-11-23T03:06:45.1695247Z   test_median_real_values_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.040s)
2022-11-23T03:06:45.1695448Z   test_median_real_values_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.039s)
2022-11-23T03:06:45.1695653Z   test_median_real_values_cuda_int32 (__main__.TestReductionsCUDA) ... ok (0.029s)
2022-11-23T03:06:45.1695860Z   test_median_real_values_cuda_int64 (__main__.TestReductionsCUDA) ... ok (0.028s)
2022-11-23T03:06:45.1696449Z   test_min_cuda_bool (__main__.TestReductionsCUDA) ... ok (0.006s)
2022-11-23T03:06:45.1696639Z   test_min_cuda_float16 (__main__.TestReductionsCUDA) ... ok (0.008s)
2022-11-23T03:06:45.1696820Z   test_min_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.008s)
2022-11-23T03:06:45.1697011Z   test_min_cuda_int64 (__main__.TestReductionsCUDA) ... ok (0.007s)
2022-11-23T03:06:45.1697247Z   test_min_elementwise_cuda (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:06:45.1697424Z   test_min_max_nan_cuda (__main__.TestReductionsCUDA) ... ok (0.009s)
2022-11-23T03:06:45.1697685Z   test_min_mixed_devices_cuda (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:06:45.1697857Z   test_min_with_inf_cuda_bfloat16 (__main__.TestReductionsCUDA) ... ok (0.003s)
2022-11-23T03:06:45.1698193Z   test_min_with_inf_cuda_float16 (__main__.TestReductionsCUDA) ... ok (0.003s)
2022-11-23T03:06:45.1698380Z   test_min_with_inf_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.003s)
2022-11-23T03:06:45.1698577Z   test_min_with_inf_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.003s)
2022-11-23T03:06:45.1698781Z   test_minmax_illegal_dtype_cuda (__main__.TestReductionsCUDA) ... ok (0.053s)
2022-11-23T03:06:45.1699166Z   test_mode_boolean_cuda (__main__.TestReductionsCUDA) ... tensor([9, 9, 9, 9, 9, 9, 9, 9, 9, 9], device='cuda:0')
2022-11-23T03:06:45.1699383Z tensor([5, 5, 5, 5, 5, 5, 5, 5, 5, 5], device='cuda:0')
2022-11-23T03:06:45.1699596Z tensor([2047, 2047, 2047, 2047], device='cuda:0')
2022-11-23T03:06:45.1699799Z tensor([1024, 1024, 1024, 1024], device='cuda:0')
2022-11-23T03:06:45.1699971Z tensor([2047], device='cuda:0')
2022-11-23T03:06:45.1700118Z tensor([0], device='cuda:0')
2022-11-23T03:06:45.1700224Z ok (0.009s)
2022-11-23T03:06:45.1700415Z   test_mode_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.005s)
2022-11-23T03:06:45.1700609Z   test_mode_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.005s)
2022-11-23T03:06:45.1700797Z   test_mode_cuda_int16 (__main__.TestReductionsCUDA) ... ok (0.005s)
2022-11-23T03:06:45.1700985Z   test_mode_cuda_int32 (__main__.TestReductionsCUDA) ... ok (0.005s)
2022-11-23T03:06:45.1701164Z   test_mode_cuda_int64 (__main__.TestReductionsCUDA) ... ok (0.005s)
2022-11-23T03:06:45.1701324Z   test_mode_cuda_int8 (__main__.TestReductionsCUDA) ... ok (0.005s)
2022-11-23T03:06:45.1701508Z   test_mode_cuda_uint8 (__main__.TestReductionsCUDA) ... ok (0.006s)
2022-11-23T03:06:45.1701704Z   test_mode_large_cuda_bfloat16 (__main__.TestReductionsCUDA) ... ok (0.037s)
2022-11-23T03:06:45.1701908Z   test_mode_large_cuda_float16 (__main__.TestReductionsCUDA) ... ok (0.038s)
2022-11-23T03:06:45.1702107Z   test_mode_large_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.032s)
2022-11-23T03:06:45.1702302Z   test_mode_large_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.045s)
2022-11-23T03:06:45.1702496Z   test_mode_large_cuda_int16 (__main__.TestReductionsCUDA) ... ok (0.028s)
2022-11-23T03:06:45.1702690Z   test_mode_large_cuda_int32 (__main__.TestReductionsCUDA) ... ok (0.029s)
2022-11-23T03:06:45.1702860Z   test_mode_large_cuda_int64 (__main__.TestReductionsCUDA) ... ok (0.034s)
2022-11-23T03:06:45.1703053Z   test_mode_large_cuda_int8 (__main__.TestReductionsCUDA) ... ok (0.026s)
2022-11-23T03:06:45.1703244Z   test_mode_large_cuda_uint8 (__main__.TestReductionsCUDA) ... ok (0.025s)
2022-11-23T03:06:45.1703444Z   test_mode_wrong_device_cuda (__main__.TestReductionsCUDA) ... ok (0.015s)
2022-11-23T03:06:45.1703750Z   test_mode_wrong_dtype_cuda (__main__.TestReductionsCUDA) ... ok (0.053s)
2022-11-23T03:06:45.1703955Z   test_nan_policy_omit_nanmean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1704135Z Tests that NaN values do not affect the result. ... ok (0.004s)
2022-11-23T03:06:45.1704336Z   test_nan_policy_omit_nanmean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1704498Z Tests that NaN values do not affect the result. ... ok (0.003s)
2022-11-23T03:06:45.1704700Z   test_nan_policy_omit_nanmean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1704872Z Tests that NaN values do not affect the result. ... ok (0.004s)
2022-11-23T03:06:45.1705066Z   test_nan_policy_omit_nanmean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1705236Z Tests that NaN values do not affect the result. ... ok (0.003s)
2022-11-23T03:06:45.1705431Z   test_nan_policy_omit_nansum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1705599Z Tests that NaN values do not affect the result. ... ok (0.004s)
2022-11-23T03:06:45.1705800Z   test_nan_policy_omit_nansum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1705954Z Tests that NaN values do not affect the result. ... ok (0.003s)
2022-11-23T03:06:45.1706145Z   test_nan_policy_omit_nansum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1706380Z Tests that NaN values do not affect the result. ... ok (0.003s)
2022-11-23T03:06:45.1706578Z   test_nan_policy_omit_nansum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1706748Z Tests that NaN values do not affect the result. ... ok (0.003s)
2022-11-23T03:06:45.1706953Z   test_nan_policy_propagate_amax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1707148Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1707328Z   test_nan_policy_propagate_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1707520Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1707729Z   test_nan_policy_propagate_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1707922Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1708122Z   test_nan_policy_propagate_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1708313Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1708518Z   test_nan_policy_propagate_amin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1708710Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1708889Z   test_nan_policy_propagate_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1709080Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1709281Z   test_nan_policy_propagate_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1709471Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1709674Z   test_nan_policy_propagate_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1709863Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1710086Z   test_nan_policy_propagate_linalg_vector_norm_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1710276Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1710483Z   test_nan_policy_propagate_linalg_vector_norm_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1710672Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1710898Z   test_nan_policy_propagate_linalg_vector_norm_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1711088Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1711312Z   test_nan_policy_propagate_linalg_vector_norm_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1711600Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1711823Z   test_nan_policy_propagate_linalg_vector_norm_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1712009Z Tests that nan is propagated to the output by default ... ok (0.004s)
2022-11-23T03:06:45.1712205Z   test_nan_policy_propagate_linalg_vector_norm_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1712395Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1712610Z   test_nan_policy_propagate_masked_amax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1712799Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1713011Z   test_nan_policy_propagate_masked_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1713195Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1713407Z   test_nan_policy_propagate_masked_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1713596Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1713785Z   test_nan_policy_propagate_masked_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1713981Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1714280Z   test_nan_policy_propagate_masked_amin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1714480Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1714695Z   test_nan_policy_propagate_masked_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1714881Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1715096Z   test_nan_policy_propagate_masked_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1715284Z Tests that nan is propagated to the output by default ... ok (0.004s)
2022-11-23T03:06:45.1715495Z   test_nan_policy_propagate_masked_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1715667Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1715895Z   test_nan_policy_propagate_masked_logsumexp_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1716084Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1716314Z   test_nan_policy_propagate_masked_logsumexp_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1716505Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1716731Z   test_nan_policy_propagate_masked_logsumexp_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1716915Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1717134Z   test_nan_policy_propagate_masked_logsumexp_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1717301Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1717522Z   test_nan_policy_propagate_masked_mean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1717710Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1717929Z   test_nan_policy_propagate_masked_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1718115Z Tests that nan is propagated to the output by default ... ok (0.004s)
2022-11-23T03:06:45.1718336Z   test_nan_policy_propagate_masked_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1718519Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1718731Z   test_nan_policy_propagate_masked_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1718897Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1719107Z   test_nan_policy_propagate_masked_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1719300Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1719603Z   test_nan_policy_propagate_masked_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1719795Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1720008Z   test_nan_policy_propagate_masked_norm_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1720199Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1720411Z   test_nan_policy_propagate_masked_norm_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1720578Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1720788Z   test_nan_policy_propagate_masked_norm_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1720975Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1721188Z   test_nan_policy_propagate_masked_norm_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1721371Z Tests that nan is propagated to the output by default ... ok (0.004s)
2022-11-23T03:06:45.1721591Z   test_nan_policy_propagate_masked_prod_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1721778Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1722003Z   test_nan_policy_propagate_masked_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1722237Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1722474Z   test_nan_policy_propagate_masked_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1722657Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1722871Z   test_nan_policy_propagate_masked_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1723059Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1723269Z   test_nan_policy_propagate_masked_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1723464Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1723673Z   test_nan_policy_propagate_masked_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1723836Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1724057Z   test_nan_policy_propagate_masked_std_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1724256Z Tests that nan is propagated to the output by default ... ok (0.004s)
2022-11-23T03:06:45.1724475Z   test_nan_policy_propagate_masked_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1724663Z Tests that nan is propagated to the output by default ... ok (0.005s)
2022-11-23T03:06:45.1724879Z   test_nan_policy_propagate_masked_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1725069Z Tests that nan is propagated to the output by default ... ok (0.005s)
2022-11-23T03:06:45.1725277Z   test_nan_policy_propagate_masked_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1725451Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1725659Z   test_nan_policy_propagate_masked_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1725848Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1726057Z   test_nan_policy_propagate_masked_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1726247Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1726458Z   test_nan_policy_propagate_masked_sum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1726644Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1726863Z   test_nan_policy_propagate_masked_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1727027Z Tests that nan is propagated to the output by default ... ok (0.004s)
2022-11-23T03:06:45.1727244Z   test_nan_policy_propagate_masked_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1727509Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1727720Z   test_nan_policy_propagate_masked_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1727910Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1728125Z   test_nan_policy_propagate_masked_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1728312Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1728523Z   test_nan_policy_propagate_masked_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1728687Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1728899Z   test_nan_policy_propagate_masked_var_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1729090Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1729314Z   test_nan_policy_propagate_masked_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1729501Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1729716Z   test_nan_policy_propagate_masked_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1729903Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1730178Z   test_nan_policy_propagate_masked_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1730356Z Tests that nan is propagated to the output by default ... ok (0.004s)
2022-11-23T03:06:45.1730565Z   test_nan_policy_propagate_masked_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1730751Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1730963Z   test_nan_policy_propagate_masked_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1731150Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1731363Z   test_nan_policy_propagate_mean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1731655Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1731758Z   test_nan_policy_propagate_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1731927Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1732136Z   test_nan_policy_propagate_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1732325Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1732531Z   test_nan_policy_propagate_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1732717Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1732918Z   test_nan_policy_propagate_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1733107Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1733312Z   test_nan_policy_propagate_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1733477Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1733686Z   test_nan_policy_propagate_prod_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1733883Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1734095Z   test_nan_policy_propagate_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1734287Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1734496Z   test_nan_policy_propagate_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1734682Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1734885Z   test_nan_policy_propagate_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1735052Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1735342Z   test_nan_policy_propagate_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1735529Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1735807Z   test_nan_policy_propagate_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1736547Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1740982Z   test_nan_policy_propagate_std_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1741172Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1741379Z   test_nan_policy_propagate_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1741545Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1741754Z   test_nan_policy_propagate_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1741941Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1742148Z   test_nan_policy_propagate_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1742338Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1742540Z   test_nan_policy_propagate_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1742726Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1743145Z   test_nan_policy_propagate_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1743325Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1743534Z   test_nan_policy_propagate_sum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1743721Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1743933Z   test_nan_policy_propagate_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1744123Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1744335Z   test_nan_policy_propagate_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1744522Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1744784Z   test_nan_policy_propagate_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1744946Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1745147Z   test_nan_policy_propagate_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1745338Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1745539Z   test_nan_policy_propagate_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1745727Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1745929Z   test_nan_policy_propagate_var_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1746116Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1746326Z   test_nan_policy_propagate_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1746492Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1746698Z   test_nan_policy_propagate_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1746883Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1747080Z   test_nan_policy_propagate_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1747266Z Tests that nan is propagated to the output by default ... ok (0.002s)
2022-11-23T03:06:45.1747462Z   test_nan_policy_propagate_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1747645Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1747838Z   test_nan_policy_propagate_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1748005Z Tests that nan is propagated to the output by default ... ok (0.003s)
2022-11-23T03:06:45.1748405Z   test_nansum_complex_cuda_complex128 (__main__.TestReductionsCUDA) ... ok (0.008s)
2022-11-23T03:06:45.1748621Z   test_nansum_complex_cuda_complex64 (__main__.TestReductionsCUDA) ... ok (0.008s)
2022-11-23T03:06:45.1748813Z   test_nansum_cuda_bfloat16 (__main__.TestReductionsCUDA) ... ok (0.008s)
2022-11-23T03:06:45.1749009Z   test_nansum_cuda_float16 (__main__.TestReductionsCUDA) ... ok (0.008s)
2022-11-23T03:06:45.1749200Z   test_nansum_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.008s)
2022-11-23T03:06:45.1749385Z   test_nansum_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.008s)
2022-11-23T03:06:45.1749576Z   test_nansum_cuda_int16 (__main__.TestReductionsCUDA) ... ok (0.007s)
2022-11-23T03:06:45.1749742Z   test_nansum_cuda_int32 (__main__.TestReductionsCUDA) ... ok (0.006s)
2022-11-23T03:06:45.1749934Z   test_nansum_cuda_int64 (__main__.TestReductionsCUDA) ... ok (0.006s)
2022-11-23T03:06:45.1750119Z   test_nansum_cuda_int8 (__main__.TestReductionsCUDA) ... ok (0.006s)
2022-11-23T03:06:45.1750306Z   test_nansum_cuda_uint8 (__main__.TestReductionsCUDA) ... ok (0.006s)
2022-11-23T03:06:45.1750986Z   test_nansum_out_dtype_cuda_float16 (__main__.TestReductionsCUDA) ... /opt/conda/lib/python3.10/site-packages/numpy/core/fromnumeric.py:86: RuntimeWarning: overflow encountered in reduce
2022-11-23T03:06:45.1751167Z   return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
2022-11-23T03:06:45.1751331Z ok (0.008s)
2022-11-23T03:06:45.1751545Z   test_nansum_out_dtype_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.006s)
2022-11-23T03:06:45.1751722Z   test_nansum_out_dtype_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.007s)
2022-11-23T03:06:45.1751925Z   test_nansum_out_dtype_cuda_int16 (__main__.TestReductionsCUDA) ... ok (0.005s)
2022-11-23T03:06:45.1752134Z   test_nansum_out_dtype_cuda_int32 (__main__.TestReductionsCUDA) ... ok (0.004s)
2022-11-23T03:06:45.1752337Z   test_nansum_out_dtype_cuda_int64 (__main__.TestReductionsCUDA) ... ok (0.004s)
2022-11-23T03:06:45.1752544Z   test_nansum_out_dtype_cuda_int8 (__main__.TestReductionsCUDA) ... ok (0.005s)
2022-11-23T03:06:45.1752743Z   test_nansum_out_dtype_cuda_uint8 (__main__.TestReductionsCUDA) ... ok (0.004s)
2022-11-23T03:06:45.1753281Z   test_nansum_vs_numpy_cuda_float16 (__main__.TestReductionsCUDA) ... /opt/conda/lib/python3.10/site-packages/numpy/core/fromnumeric.py:86: RuntimeWarning: invalid value encountered in reduce
2022-11-23T03:06:45.1753460Z   return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
2022-11-23T03:06:45.1753544Z ok (0.059s)
2022-11-23T03:06:45.1753749Z   test_nansum_vs_numpy_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.058s)
2022-11-23T03:06:45.1753955Z   test_nansum_vs_numpy_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.058s)
2022-11-23T03:06:45.1754157Z   test_nansum_vs_numpy_cuda_int16 (__main__.TestReductionsCUDA) ... ok (0.026s)
2022-11-23T03:06:45.1754358Z   test_nansum_vs_numpy_cuda_int32 (__main__.TestReductionsCUDA) ... ok (0.026s)
2022-11-23T03:06:45.1754560Z   test_nansum_vs_numpy_cuda_int64 (__main__.TestReductionsCUDA) ... ok (0.025s)
2022-11-23T03:06:45.1754759Z   test_nansum_vs_numpy_cuda_int8 (__main__.TestReductionsCUDA) ... ok (0.026s)
2022-11-23T03:06:45.1754954Z   test_nansum_vs_numpy_cuda_uint8 (__main__.TestReductionsCUDA) ... ok (0.007s)
2022-11-23T03:06:45.1755133Z   test_noncontiguous_all_all_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1755342Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1755543Z   test_noncontiguous_all_all_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1755739Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1755941Z   test_noncontiguous_all_all_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1756139Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1756342Z   test_noncontiguous_all_all_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1756613Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1756788Z   test_noncontiguous_all_all_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1756978Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1757177Z   test_noncontiguous_all_all_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1757375Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1757571Z   test_noncontiguous_all_all_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1757769Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1757958Z   test_noncontiguous_all_all_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1758148Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1758314Z   test_noncontiguous_all_all_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1758509Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1758700Z   test_noncontiguous_all_all_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1758894Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1759086Z   test_noncontiguous_all_all_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1759329Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1759533Z   test_noncontiguous_all_all_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1759723Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1759901Z   test_noncontiguous_all_amax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1760090Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1760283Z   test_noncontiguous_all_amax_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1760471Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1760670Z   test_noncontiguous_all_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1760863Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1761059Z   test_noncontiguous_all_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1761256Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1761427Z   test_noncontiguous_all_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1761615Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1761810Z   test_noncontiguous_all_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1761997Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1762192Z   test_noncontiguous_all_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1762379Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1762581Z   test_noncontiguous_all_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1762771Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1762942Z   test_noncontiguous_all_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1763134Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.002s)
2022-11-23T03:06:45.1763333Z   test_noncontiguous_all_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1763521Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1763782Z   test_noncontiguous_all_amin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1763969Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1764161Z   test_noncontiguous_all_amin_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1764327Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1764605Z   test_noncontiguous_all_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1764794Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1764992Z   test_noncontiguous_all_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1765185Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1765376Z   test_noncontiguous_all_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1765567Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1765759Z   test_noncontiguous_all_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1765928Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1766121Z   test_noncontiguous_all_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1766313Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1766511Z   test_noncontiguous_all_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1766880Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1767080Z   test_noncontiguous_all_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1767338Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1767544Z   test_noncontiguous_all_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1767717Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1767911Z   test_noncontiguous_all_any_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1768105Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1768301Z   test_noncontiguous_all_any_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1768490Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1768704Z   test_noncontiguous_all_any_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1768893Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1769093Z   test_noncontiguous_all_any_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1769268Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1769467Z   test_noncontiguous_all_any_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1769658Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1769854Z   test_noncontiguous_all_any_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1770047Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1770244Z   test_noncontiguous_all_any_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1770435Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1770633Z   test_noncontiguous_all_any_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1770803Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1770992Z   test_noncontiguous_all_any_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1771179Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1771374Z   test_noncontiguous_all_any_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1771569Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1771763Z   test_noncontiguous_all_any_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1771956Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1772152Z   test_noncontiguous_all_any_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1772322Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1772629Z   test_noncontiguous_all_argmax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1772817Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1773020Z   test_noncontiguous_all_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1773213Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1773423Z   test_noncontiguous_all_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1773614Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1773819Z   test_noncontiguous_all_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1773992Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1774191Z   test_noncontiguous_all_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1774383Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1774579Z   test_noncontiguous_all_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1774766Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.002s)
2022-11-23T03:06:45.1774957Z   test_noncontiguous_all_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1775151Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1775388Z   test_noncontiguous_all_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1775589Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1775780Z   test_noncontiguous_all_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1775970Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1776773Z   test_noncontiguous_all_argmin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1776993Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1777216Z   test_noncontiguous_all_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1777373Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1777551Z   test_noncontiguous_all_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1777750Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1777945Z   test_noncontiguous_all_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1778137Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1778333Z   test_noncontiguous_all_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1778521Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1778713Z   test_noncontiguous_all_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1778908Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1779080Z   test_noncontiguous_all_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1779274Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1779469Z   test_noncontiguous_all_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1779661Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1779858Z   test_noncontiguous_all_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1780048Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1780264Z   test_noncontiguous_all_count_nonzero_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1780453Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1780640Z   test_noncontiguous_all_count_nonzero_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1780828Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1781213Z   test_noncontiguous_all_count_nonzero_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1781404Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1781619Z   test_noncontiguous_all_count_nonzero_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1781818Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1782039Z   test_noncontiguous_all_count_nonzero_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1782230Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1782417Z   test_noncontiguous_all_count_nonzero_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1782611Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1782822Z   test_noncontiguous_all_count_nonzero_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1783009Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1783224Z   test_noncontiguous_all_count_nonzero_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1783412Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1783672Z   test_noncontiguous_all_count_nonzero_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1783935Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1784129Z   test_noncontiguous_all_count_nonzero_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1784327Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1784533Z   test_noncontiguous_all_count_nonzero_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1784726Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1784933Z   test_noncontiguous_all_count_nonzero_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1785125Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1785346Z   test_noncontiguous_all_linalg_vector_norm_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1785540Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.007s)
2022-11-23T03:06:45.1785742Z   test_noncontiguous_all_linalg_vector_norm_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1785942Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.006s)
2022-11-23T03:06:45.1786167Z   test_noncontiguous_all_linalg_vector_norm_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1786361Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.007s)
2022-11-23T03:06:45.1786582Z   test_noncontiguous_all_linalg_vector_norm_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1786781Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.006s)
2022-11-23T03:06:45.1787001Z   test_noncontiguous_all_linalg_vector_norm_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1787198Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.006s)
2022-11-23T03:06:45.1787390Z   test_noncontiguous_all_linalg_vector_norm_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1787584Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.006s)
2022-11-23T03:06:45.1787798Z   test_noncontiguous_all_masked_amax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1787994Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1788204Z   test_noncontiguous_all_masked_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1788394Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1788595Z   test_noncontiguous_all_masked_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1788781Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1789045Z   test_noncontiguous_all_masked_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1789236Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1789440Z   test_noncontiguous_all_masked_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1789632Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1789848Z   test_noncontiguous_all_masked_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1790040Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1790244Z   test_noncontiguous_all_masked_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1790439Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1790621Z   test_noncontiguous_all_masked_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1790816Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1791027Z   test_noncontiguous_all_masked_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1791217Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1791426Z   test_noncontiguous_all_masked_amin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1791682Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1791898Z   test_noncontiguous_all_masked_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1792094Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1792276Z   test_noncontiguous_all_masked_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1792465Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1792674Z   test_noncontiguous_all_masked_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1792864Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1793075Z   test_noncontiguous_all_masked_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1793271Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1793481Z   test_noncontiguous_all_masked_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1793676Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1793855Z   test_noncontiguous_all_masked_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1794050Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1794260Z   test_noncontiguous_all_masked_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1794453Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1794658Z   test_noncontiguous_all_masked_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1794851Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1795072Z   test_noncontiguous_all_masked_argmax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1795262Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1795451Z   test_noncontiguous_all_masked_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1795646Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1795855Z   test_noncontiguous_all_masked_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1796046Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1796261Z   test_noncontiguous_all_masked_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1796458Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1796666Z   test_noncontiguous_all_masked_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1796944Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1797126Z   test_noncontiguous_all_masked_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1797316Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1797526Z   test_noncontiguous_all_masked_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1797730Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1797940Z   test_noncontiguous_all_masked_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1798131Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1798342Z   test_noncontiguous_all_masked_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1798533Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1798725Z   test_noncontiguous_all_masked_argmin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1798922Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1799134Z   test_noncontiguous_all_masked_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1799324Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1799623Z   test_noncontiguous_all_masked_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1799821Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1800030Z   test_noncontiguous_all_masked_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1800225Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.005s)
2022-11-23T03:06:45.1800410Z   test_noncontiguous_all_masked_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1800607Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1800808Z   test_noncontiguous_all_masked_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1801007Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1801214Z   test_noncontiguous_all_masked_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1801407Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1801618Z   test_noncontiguous_all_masked_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1801812Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1801993Z   test_noncontiguous_all_masked_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1802193Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1802419Z   test_noncontiguous_all_masked_logsumexp_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1802615Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1802839Z   test_noncontiguous_all_masked_logsumexp_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1803032Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.005s)
2022-11-23T03:06:45.1803250Z   test_noncontiguous_all_masked_logsumexp_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1803441Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1803635Z   test_noncontiguous_all_masked_logsumexp_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1803832Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1804050Z   test_noncontiguous_all_masked_logsumexp_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1804243Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1804458Z   test_noncontiguous_all_masked_logsumexp_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1804650Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1804947Z   test_noncontiguous_all_masked_logsumexp_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1805137Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1805329Z   test_noncontiguous_all_masked_logsumexp_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1805521Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1805736Z   test_noncontiguous_all_masked_logsumexp_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1805931Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1806140Z   test_noncontiguous_all_masked_mean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1806326Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.005s)
2022-11-23T03:06:45.1806531Z   test_noncontiguous_all_masked_mean_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1806728Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1806917Z   test_noncontiguous_all_masked_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1807115Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1807328Z   test_noncontiguous_all_masked_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1807592Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1807811Z   test_noncontiguous_all_masked_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1808004Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1808209Z   test_noncontiguous_all_masked_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1808398Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1808585Z   test_noncontiguous_all_masked_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1808789Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1809002Z   test_noncontiguous_all_masked_mean_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1809197Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1809405Z   test_noncontiguous_all_masked_mean_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1809594Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1809796Z   test_noncontiguous_all_masked_mean_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1809991Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1810175Z   test_noncontiguous_all_masked_mean_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1810372Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1810579Z   test_noncontiguous_all_masked_mean_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1810779Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1810994Z   test_noncontiguous_all_masked_norm_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1811190Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1811403Z   test_noncontiguous_all_masked_norm_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1811593Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1811773Z   test_noncontiguous_all_masked_norm_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1811962Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1812173Z   test_noncontiguous_all_masked_norm_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1812365Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1812584Z   test_noncontiguous_all_masked_prod_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1812865Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1813078Z   test_noncontiguous_all_masked_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1813275Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1813476Z   test_noncontiguous_all_masked_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1813671Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1813893Z   test_noncontiguous_all_masked_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1814083Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1814293Z   test_noncontiguous_all_masked_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1814483Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1814694Z   test_noncontiguous_all_masked_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1814886Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1815066Z   test_noncontiguous_all_masked_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1815258Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1815527Z   test_noncontiguous_all_masked_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1815730Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1815932Z   test_noncontiguous_all_masked_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1816518Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1816742Z   test_noncontiguous_all_masked_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1816961Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1817129Z   test_noncontiguous_all_masked_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1817326Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1817531Z   test_noncontiguous_all_masked_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1817750Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1817951Z   test_noncontiguous_all_masked_std_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1818139Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1818350Z   test_noncontiguous_all_masked_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1818541Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1818731Z   test_noncontiguous_all_masked_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1818922Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1819131Z   test_noncontiguous_all_masked_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1819326Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1819528Z   test_noncontiguous_all_masked_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1819722Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1819931Z   test_noncontiguous_all_masked_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1820127Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.005s)
2022-11-23T03:06:45.1820311Z   test_noncontiguous_all_masked_std_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1820504Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1820707Z   test_noncontiguous_all_masked_std_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1820900Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1821268Z   test_noncontiguous_all_masked_std_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1821458Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1821668Z   test_noncontiguous_all_masked_std_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1821871Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1822052Z   test_noncontiguous_all_masked_std_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1822250Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1822460Z   test_noncontiguous_all_masked_sum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1822652Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1822854Z   test_noncontiguous_all_masked_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1823049Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1823264Z   test_noncontiguous_all_masked_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1823453Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1823642Z   test_noncontiguous_all_masked_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1823916Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1824135Z   test_noncontiguous_all_masked_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1824328Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1824529Z   test_noncontiguous_all_masked_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1824721Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1824929Z   test_noncontiguous_all_masked_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1825124Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1825305Z   test_noncontiguous_all_masked_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1825501Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1825713Z   test_noncontiguous_all_masked_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1825905Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1826111Z   test_noncontiguous_all_masked_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1826358Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1826562Z   test_noncontiguous_all_masked_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1826751Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1826929Z   test_noncontiguous_all_masked_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1827125Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1827335Z   test_noncontiguous_all_masked_var_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1827526Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1827752Z   test_noncontiguous_all_masked_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1827944Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1828156Z   test_noncontiguous_all_masked_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1828346Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.005s)
2022-11-23T03:06:45.1828529Z   test_noncontiguous_all_masked_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1828724Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1828936Z   test_noncontiguous_all_masked_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1829199Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1829407Z   test_noncontiguous_all_masked_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1829601Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1829805Z   test_noncontiguous_all_masked_var_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1830001Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1830181Z   test_noncontiguous_all_masked_var_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1830372Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1830578Z   test_noncontiguous_all_masked_var_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1830765Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.005s)
2022-11-23T03:06:45.1830973Z   test_noncontiguous_all_masked_var_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1831168Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1831372Z   test_noncontiguous_all_masked_var_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1831563Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1831797Z   test_noncontiguous_all_mean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1831996Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1832200Z   test_noncontiguous_all_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1832391Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1832593Z   test_noncontiguous_all_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1832788Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1832985Z   test_noncontiguous_all_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1833172Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1833342Z   test_noncontiguous_all_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1833531Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1833726Z   test_noncontiguous_all_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1833916Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1834118Z   test_noncontiguous_all_nanmean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1834309Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1834510Z   test_noncontiguous_all_nanmean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1834677Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1834886Z   test_noncontiguous_all_nanmean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1835073Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1835270Z   test_noncontiguous_all_nanmean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1835462Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1835665Z   test_noncontiguous_all_nansum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1835857Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1836061Z   test_noncontiguous_all_nansum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1836231Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1836433Z   test_noncontiguous_all_nansum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1836620Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1836896Z   test_noncontiguous_all_nansum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1837084Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1837285Z   test_noncontiguous_all_nansum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1837476Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1837671Z   test_noncontiguous_all_nansum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1837842Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1838038Z   test_noncontiguous_all_nansum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1838226Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1838418Z   test_noncontiguous_all_nansum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1838612Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1838815Z   test_noncontiguous_all_nansum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1839003Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1839200Z   test_noncontiguous_all_nansum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1839366Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1839631Z   test_noncontiguous_all_prod_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1839829Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1840027Z   test_noncontiguous_all_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1840214Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1840416Z   test_noncontiguous_all_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1840611Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1840827Z   test_noncontiguous_all_prod_cuda_complex32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1840994Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1841200Z   test_noncontiguous_all_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1841386Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1841582Z   test_noncontiguous_all_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1841777Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1841971Z   test_noncontiguous_all_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1842159Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1842350Z   test_noncontiguous_all_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1842516Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1842753Z   test_noncontiguous_all_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1843012Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1843213Z   test_noncontiguous_all_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1843408Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1843610Z   test_noncontiguous_all_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1843804Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.002s)
2022-11-23T03:06:45.1844004Z   test_noncontiguous_all_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1844176Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1844375Z   test_noncontiguous_all_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1844563Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1844851Z   test_noncontiguous_all_std_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1845041Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1845243Z   test_noncontiguous_all_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1845436Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1845643Z   test_noncontiguous_all_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1845815Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1846016Z   test_noncontiguous_all_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1846209Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.005s)
2022-11-23T03:06:45.1846418Z   test_noncontiguous_all_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1846615Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1846819Z   test_noncontiguous_all_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1847008Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1847180Z   test_noncontiguous_all_sum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1847374Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1847650Z   test_noncontiguous_all_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1847849Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1848054Z   test_noncontiguous_all_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1848241Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1848444Z   test_noncontiguous_all_sum_cuda_complex32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1848639Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1848924Z   test_noncontiguous_all_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1849270Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1849600Z   test_noncontiguous_all_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1849897Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1850236Z   test_noncontiguous_all_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1850440Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1850635Z   test_noncontiguous_all_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1850825Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1851002Z   test_noncontiguous_all_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1851197Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1851386Z   test_noncontiguous_all_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1851581Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1851778Z   test_noncontiguous_all_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1851971Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1852167Z   test_noncontiguous_all_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1852357Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1852529Z   test_noncontiguous_all_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1852717Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1852908Z   test_noncontiguous_all_var_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1853092Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.005s)
2022-11-23T03:06:45.1853293Z   test_noncontiguous_all_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1853613Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1853808Z   test_noncontiguous_all_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1853989Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1854172Z   test_noncontiguous_all_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1854357Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1854547Z   test_noncontiguous_all_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1854732Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.004s)
2022-11-23T03:06:45.1854921Z   test_noncontiguous_all_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1855106Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.003s)
2022-11-23T03:06:45.1855311Z   test_noncontiguous_expanded_all_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1855511Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1855692Z   test_noncontiguous_expanded_all_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1855885Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1856558Z   test_noncontiguous_expanded_all_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1856778Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1857018Z   test_noncontiguous_expanded_all_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1857212Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1857416Z   test_noncontiguous_expanded_all_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1857608Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1857764Z   test_noncontiguous_expanded_all_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1857959Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1858158Z   test_noncontiguous_expanded_all_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1858347Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1858549Z   test_noncontiguous_expanded_all_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1858740Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1858937Z   test_noncontiguous_expanded_all_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1859132Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1859310Z   test_noncontiguous_expanded_all_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1859501Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1859702Z   test_noncontiguous_expanded_all_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1859896Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1860095Z   test_noncontiguous_expanded_all_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1860287Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1860495Z   test_noncontiguous_expanded_amax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1860689Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1860875Z   test_noncontiguous_expanded_amax_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1861065Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1861269Z   test_noncontiguous_expanded_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1861460Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1861757Z   test_noncontiguous_expanded_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1861945Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1862141Z   test_noncontiguous_expanded_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1862332Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1862509Z   test_noncontiguous_expanded_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1862701Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1862894Z   test_noncontiguous_expanded_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1863084Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1863276Z   test_noncontiguous_expanded_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1863466Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1863666Z   test_noncontiguous_expanded_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1863859Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1864037Z   test_noncontiguous_expanded_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1864281Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1864496Z   test_noncontiguous_expanded_amin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1864687Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1864884Z   test_noncontiguous_expanded_amin_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1865073Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1865276Z   test_noncontiguous_expanded_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1865469Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1865651Z   test_noncontiguous_expanded_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1865839Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1866043Z   test_noncontiguous_expanded_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1866236Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1866434Z   test_noncontiguous_expanded_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1866623Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1866816Z   test_noncontiguous_expanded_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1867056Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1867234Z   test_noncontiguous_expanded_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1867430Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1867637Z   test_noncontiguous_expanded_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1867831Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1868030Z   test_noncontiguous_expanded_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1868229Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1868436Z   test_noncontiguous_expanded_any_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1868625Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1868806Z   test_noncontiguous_expanded_any_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1868997Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1869211Z   test_noncontiguous_expanded_any_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1869476Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1869688Z   test_noncontiguous_expanded_any_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1869885Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1870099Z   test_noncontiguous_expanded_any_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1870295Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1870478Z   test_noncontiguous_expanded_any_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1870674Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1870881Z   test_noncontiguous_expanded_any_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1871076Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1871279Z   test_noncontiguous_expanded_any_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1871482Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1871678Z   test_noncontiguous_expanded_any_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1871875Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1872114Z   test_noncontiguous_expanded_any_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1872323Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1872525Z   test_noncontiguous_expanded_any_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1872720Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1872921Z   test_noncontiguous_expanded_any_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1873118Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1873335Z   test_noncontiguous_expanded_argmax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1873529Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1873717Z   test_noncontiguous_expanded_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1873911Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1874126Z   test_noncontiguous_expanded_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1874322Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1874529Z   test_noncontiguous_expanded_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1874726Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1874934Z   test_noncontiguous_expanded_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1875129Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1875314Z   test_noncontiguous_expanded_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1875509Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1875717Z   test_noncontiguous_expanded_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1875912Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1876122Z   test_noncontiguous_expanded_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1876319Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1876525Z   test_noncontiguous_expanded_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1876723Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1876918Z   test_noncontiguous_expanded_argmin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1877111Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1877433Z   test_noncontiguous_expanded_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1877637Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1877852Z   test_noncontiguous_expanded_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1878052Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1878269Z   test_noncontiguous_expanded_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1878466Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1878654Z   test_noncontiguous_expanded_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1878850Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1879054Z   test_noncontiguous_expanded_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1879345Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1879574Z   test_noncontiguous_expanded_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1879792Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1880000Z   test_noncontiguous_expanded_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1880251Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1880379Z   test_noncontiguous_expanded_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1880536Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1880757Z   test_noncontiguous_expanded_count_nonzero_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1880962Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1881190Z   test_noncontiguous_expanded_count_nonzero_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1881392Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1881618Z   test_noncontiguous_expanded_count_nonzero_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1881818Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1882026Z   test_noncontiguous_expanded_count_nonzero_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1882232Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1882460Z   test_noncontiguous_expanded_count_nonzero_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1882656Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1882877Z   test_noncontiguous_expanded_count_nonzero_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1883071Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1883292Z   test_noncontiguous_expanded_count_nonzero_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1883489Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1883689Z   test_noncontiguous_expanded_count_nonzero_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1883899Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1884115Z   test_noncontiguous_expanded_count_nonzero_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1884310Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1884528Z   test_noncontiguous_expanded_count_nonzero_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1884724Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1884941Z   test_noncontiguous_expanded_count_nonzero_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1885213Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1885410Z   test_noncontiguous_expanded_count_nonzero_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1885606Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1885843Z   test_noncontiguous_expanded_linalg_vector_norm_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1886038Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.007s)
2022-11-23T03:06:45.1886277Z   test_noncontiguous_expanded_linalg_vector_norm_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1886473Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.006s)
2022-11-23T03:06:45.1886706Z   test_noncontiguous_expanded_linalg_vector_norm_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1886897Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.007s)
2022-11-23T03:06:45.1887132Z   test_noncontiguous_expanded_linalg_vector_norm_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1887306Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.006s)
2022-11-23T03:06:45.1887527Z   test_noncontiguous_expanded_linalg_vector_norm_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1887722Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.006s)
2022-11-23T03:06:45.1888016Z   test_noncontiguous_expanded_linalg_vector_norm_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1888220Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.006s)
2022-11-23T03:06:45.1888440Z   test_noncontiguous_expanded_masked_amax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1888637Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1888858Z   test_noncontiguous_expanded_masked_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1889033Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1889252Z   test_noncontiguous_expanded_masked_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1889446Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1889664Z   test_noncontiguous_expanded_masked_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1889863Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1890077Z   test_noncontiguous_expanded_masked_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1890272Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1890491Z   test_noncontiguous_expanded_masked_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1890667Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1890879Z   test_noncontiguous_expanded_masked_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1891084Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1891299Z   test_noncontiguous_expanded_masked_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1891492Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1891707Z   test_noncontiguous_expanded_masked_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1891903Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1892127Z   test_noncontiguous_expanded_masked_amin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1892300Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1892524Z   test_noncontiguous_expanded_masked_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1892719Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1893015Z   test_noncontiguous_expanded_masked_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1893212Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1893423Z   test_noncontiguous_expanded_masked_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1893616Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1893839Z   test_noncontiguous_expanded_masked_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1894013Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1894225Z   test_noncontiguous_expanded_masked_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1894422Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1894634Z   test_noncontiguous_expanded_masked_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1894824Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1895041Z   test_noncontiguous_expanded_masked_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1895231Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1895447Z   test_noncontiguous_expanded_masked_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1895682Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1895911Z   test_noncontiguous_expanded_masked_argmax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1896471Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1896686Z   test_noncontiguous_expanded_masked_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1896890Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1897110Z   test_noncontiguous_expanded_masked_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1897277Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1897496Z   test_noncontiguous_expanded_masked_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1897670Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1897891Z   test_noncontiguous_expanded_masked_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1898082Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1898298Z   test_noncontiguous_expanded_masked_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1898490Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1898703Z   test_noncontiguous_expanded_masked_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1898895Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1899113Z   test_noncontiguous_expanded_masked_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1899309Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1899505Z   test_noncontiguous_expanded_masked_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1899695Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1899917Z   test_noncontiguous_expanded_masked_argmin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1900110Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1900332Z   test_noncontiguous_expanded_masked_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1900524Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1900739Z   test_noncontiguous_expanded_masked_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1900931Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1901281Z   test_noncontiguous_expanded_masked_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1901474Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.005s)
2022-11-23T03:06:45.1901687Z   test_noncontiguous_expanded_masked_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1901885Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1902097Z   test_noncontiguous_expanded_masked_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1902293Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1902504Z   test_noncontiguous_expanded_masked_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1902694Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1902888Z   test_noncontiguous_expanded_masked_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1903085Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1903299Z   test_noncontiguous_expanded_masked_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1903491Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1903796Z   test_noncontiguous_expanded_masked_logsumexp_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1903999Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1904224Z   test_noncontiguous_expanded_masked_logsumexp_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1904414Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.005s)
2022-11-23T03:06:45.1904615Z   test_noncontiguous_expanded_masked_logsumexp_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1904809Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1905036Z   test_noncontiguous_expanded_masked_logsumexp_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1905227Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1905444Z   test_noncontiguous_expanded_masked_logsumexp_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1905636Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1905912Z   test_noncontiguous_expanded_masked_logsumexp_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1906103Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1906304Z   test_noncontiguous_expanded_masked_logsumexp_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1906495Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1906714Z   test_noncontiguous_expanded_masked_logsumexp_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1906909Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1907127Z   test_noncontiguous_expanded_masked_logsumexp_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1907317Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1907532Z   test_noncontiguous_expanded_masked_mean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1907728Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1907921Z   test_noncontiguous_expanded_masked_mean_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1908121Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1908338Z   test_noncontiguous_expanded_masked_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1908530Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1908747Z   test_noncontiguous_expanded_masked_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1909011Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1909228Z   test_noncontiguous_expanded_masked_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1909416Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1909613Z   test_noncontiguous_expanded_masked_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1909809Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1910019Z   test_noncontiguous_expanded_masked_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1910210Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.005s)
2022-11-23T03:06:45.1910419Z   test_noncontiguous_expanded_masked_mean_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1910612Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1910830Z   test_noncontiguous_expanded_masked_mean_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1911021Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1911230Z   test_noncontiguous_expanded_masked_mean_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1911484Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1911704Z   test_noncontiguous_expanded_masked_mean_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1911896Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1912104Z   test_noncontiguous_expanded_masked_mean_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1912295Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1912510Z   test_noncontiguous_expanded_masked_norm_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1912699Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1912915Z   test_noncontiguous_expanded_masked_norm_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1913090Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1913303Z   test_noncontiguous_expanded_masked_norm_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1913504Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1913721Z   test_noncontiguous_expanded_masked_norm_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1913912Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1914128Z   test_noncontiguous_expanded_masked_prod_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1914318Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1914532Z   test_noncontiguous_expanded_masked_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1914713Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1914931Z   test_noncontiguous_expanded_masked_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1915123Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1915343Z   test_noncontiguous_expanded_masked_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1915537Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1915749Z   test_noncontiguous_expanded_masked_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1915939Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1916150Z   test_noncontiguous_expanded_masked_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1916325Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1916613Z   test_noncontiguous_expanded_masked_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1916809Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1917018Z   test_noncontiguous_expanded_masked_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1917215Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1917428Z   test_noncontiguous_expanded_masked_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1917619Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1917829Z   test_noncontiguous_expanded_masked_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1918003Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1918217Z   test_noncontiguous_expanded_masked_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1918409Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1918625Z   test_noncontiguous_expanded_masked_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1918818Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1919033Z   test_noncontiguous_expanded_masked_std_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1919290Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1919515Z   test_noncontiguous_expanded_masked_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1919692Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1919911Z   test_noncontiguous_expanded_masked_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1920104Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1920316Z   test_noncontiguous_expanded_masked_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1920513Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1920730Z   test_noncontiguous_expanded_masked_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1920921Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1921131Z   test_noncontiguous_expanded_masked_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1921304Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.005s)
2022-11-23T03:06:45.1921512Z   test_noncontiguous_expanded_masked_std_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1921701Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1921907Z   test_noncontiguous_expanded_masked_std_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1922146Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1922417Z   test_noncontiguous_expanded_masked_std_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1922608Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1922816Z   test_noncontiguous_expanded_masked_std_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1922993Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1923209Z   test_noncontiguous_expanded_masked_std_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1923404Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1923615Z   test_noncontiguous_expanded_masked_sum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1923808Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1924022Z   test_noncontiguous_expanded_masked_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1924212Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1924504Z   test_noncontiguous_expanded_masked_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1924681Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1924903Z   test_noncontiguous_expanded_masked_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1925099Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1925311Z   test_noncontiguous_expanded_masked_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1925504Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1925720Z   test_noncontiguous_expanded_masked_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1925907Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1926115Z   test_noncontiguous_expanded_masked_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1926316Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1926511Z   test_noncontiguous_expanded_masked_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1926703Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1926908Z   test_noncontiguous_expanded_masked_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1927167Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1927386Z   test_noncontiguous_expanded_masked_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1927577Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1927786Z   test_noncontiguous_expanded_masked_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1927981Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1928175Z   test_noncontiguous_expanded_masked_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1928371Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1928589Z   test_noncontiguous_expanded_masked_var_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1928781Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1929010Z   test_noncontiguous_expanded_masked_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1929203Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1929421Z   test_noncontiguous_expanded_masked_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1929611Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.005s)
2022-11-23T03:06:45.1929805Z   test_noncontiguous_expanded_masked_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1929995Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1930212Z   test_noncontiguous_expanded_masked_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1930406Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1930620Z   test_noncontiguous_expanded_masked_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1930813Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1931019Z   test_noncontiguous_expanded_masked_var_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1931208Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1931392Z   test_noncontiguous_expanded_masked_var_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1931682Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1932054Z   test_noncontiguous_expanded_masked_var_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1932311Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.005s)
2022-11-23T03:06:45.1932636Z   test_noncontiguous_expanded_masked_var_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1932828Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1933033Z   test_noncontiguous_expanded_masked_var_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1933233Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1933422Z   test_noncontiguous_expanded_mean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1933613Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1933823Z   test_noncontiguous_expanded_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1934013Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1934224Z   test_noncontiguous_expanded_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1934419Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1934620Z   test_noncontiguous_expanded_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1934813Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1935058Z   test_noncontiguous_expanded_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1935259Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1935461Z   test_noncontiguous_expanded_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1935652Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1935861Z   test_noncontiguous_expanded_nanmean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1936370Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1936627Z   test_noncontiguous_expanded_nanmean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1936821Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1936977Z   test_noncontiguous_expanded_nanmean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1937177Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1937389Z   test_noncontiguous_expanded_nanmean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1937584Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1937793Z   test_noncontiguous_expanded_nansum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1937983Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1938185Z   test_noncontiguous_expanded_nansum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1938375Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1938566Z   test_noncontiguous_expanded_nansum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1938762Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1938970Z   test_noncontiguous_expanded_nansum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1939161Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1939368Z   test_noncontiguous_expanded_nansum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1939558Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1939760Z   test_noncontiguous_expanded_nansum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1939949Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1940134Z   test_noncontiguous_expanded_nansum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1940325Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1940686Z   test_noncontiguous_expanded_nansum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1940875Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1941080Z   test_noncontiguous_expanded_nansum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1941274Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1941476Z   test_noncontiguous_expanded_nansum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1941670Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1941860Z   test_noncontiguous_expanded_prod_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1942051Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1942253Z   test_noncontiguous_expanded_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1942442Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1942657Z   test_noncontiguous_expanded_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1942844Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1943051Z   test_noncontiguous_expanded_prod_cuda_complex32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1943313Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1943514Z   test_noncontiguous_expanded_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1943707Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1943910Z   test_noncontiguous_expanded_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1944102Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1944310Z   test_noncontiguous_expanded_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1944507Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1944709Z   test_noncontiguous_expanded_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1944897Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1945079Z   test_noncontiguous_expanded_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1945272Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1945472Z   test_noncontiguous_expanded_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1945661Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1945856Z   test_noncontiguous_expanded_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1946044Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s)
2022-11-23T03:06:45.1946243Z   test_noncontiguous_expanded_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1946439Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1946618Z   test_noncontiguous_expanded_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1946810Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1947016Z   test_noncontiguous_expanded_std_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1947205Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1947414Z   test_noncontiguous_expanded_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1947600Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1947804Z   test_noncontiguous_expanded_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1947993Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1948178Z   test_noncontiguous_expanded_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1948445Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.005s)
2022-11-23T03:06:45.1948644Z   test_noncontiguous_expanded_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1948833Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1949041Z   test_noncontiguous_expanded_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1949231Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1949433Z   test_noncontiguous_expanded_sum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1949625Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1949805Z   test_noncontiguous_expanded_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1950000Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1950211Z   test_noncontiguous_expanded_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1950405Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1950622Z   test_noncontiguous_expanded_sum_cuda_complex32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1950811Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1951073Z   test_noncontiguous_expanded_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1951272Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1951454Z   test_noncontiguous_expanded_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1951646Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1951841Z   test_noncontiguous_expanded_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1952030Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1952240Z   test_noncontiguous_expanded_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1952431Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1952627Z   test_noncontiguous_expanded_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1952824Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1953005Z   test_noncontiguous_expanded_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1953207Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1953405Z   test_noncontiguous_expanded_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1953597Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1953796Z   test_noncontiguous_expanded_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1953988Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1954189Z   test_noncontiguous_expanded_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1954379Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1954562Z   test_noncontiguous_expanded_var_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1954758Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.005s)
2022-11-23T03:06:45.1954965Z   test_noncontiguous_expanded_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1955153Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1955357Z   test_noncontiguous_expanded_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1955548Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.004s)
2022-11-23T03:06:45.1955746Z   test_noncontiguous_expanded_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1956016Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1956201Z   test_noncontiguous_expanded_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1956392Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1956590Z   test_noncontiguous_expanded_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1956786Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.003s)
2022-11-23T03:06:45.1956993Z   test_noncontiguous_innermost_all_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1957187Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1957384Z   test_noncontiguous_innermost_all_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1957580Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1957771Z   test_noncontiguous_innermost_all_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1957962Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.1958170Z   test_noncontiguous_innermost_all_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1958362Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1958562Z   test_noncontiguous_innermost_all_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1958880Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1959090Z   test_noncontiguous_innermost_all_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1959281Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.1959464Z   test_noncontiguous_innermost_all_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1959654Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1959850Z   test_noncontiguous_innermost_all_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1960053Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1960252Z   test_noncontiguous_innermost_all_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1960443Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.1960645Z   test_noncontiguous_innermost_all_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1960839Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1961022Z   test_noncontiguous_innermost_all_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1961212Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.1961407Z   test_noncontiguous_innermost_all_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1961593Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1961799Z   test_noncontiguous_innermost_amax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1961999Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1962195Z   test_noncontiguous_innermost_amax_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1962386Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1962573Z   test_noncontiguous_innermost_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1962759Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1962956Z   test_noncontiguous_innermost_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1963143Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1963345Z   test_noncontiguous_innermost_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1963531Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1963729Z   test_noncontiguous_innermost_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1963991Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1964173Z   test_noncontiguous_innermost_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1964361Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1964562Z   test_noncontiguous_innermost_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1964749Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1964948Z   test_noncontiguous_innermost_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1965134Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1965337Z   test_noncontiguous_innermost_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1965521Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.1965709Z   test_noncontiguous_innermost_amin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1965900Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1966097Z   test_noncontiguous_innermost_amin_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1966285Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1966573Z   test_noncontiguous_innermost_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1966774Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1967082Z   test_noncontiguous_innermost_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1967273Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1967455Z   test_noncontiguous_innermost_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1967639Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.1967853Z   test_noncontiguous_innermost_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1968043Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1968245Z   test_noncontiguous_innermost_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1968434Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1968634Z   test_noncontiguous_innermost_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1968819Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.1968998Z   test_noncontiguous_innermost_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1969185Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1969387Z   test_noncontiguous_innermost_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1969574Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1969778Z   test_noncontiguous_innermost_any_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1969964Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1970160Z   test_noncontiguous_innermost_any_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1970350Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1970546Z   test_noncontiguous_innermost_any_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1970735Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.1970943Z   test_noncontiguous_innermost_any_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1971131Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1971336Z   test_noncontiguous_innermost_any_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1971525Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1971817Z   test_noncontiguous_innermost_any_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1972002Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.1972182Z   test_noncontiguous_innermost_any_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1972373Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1972573Z   test_noncontiguous_innermost_any_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1972762Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1972959Z   test_noncontiguous_innermost_any_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1973144Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1973340Z   test_noncontiguous_innermost_any_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1973529Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1973712Z   test_noncontiguous_innermost_any_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1973899Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1974095Z   test_noncontiguous_innermost_any_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1974279Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1974544Z   test_noncontiguous_innermost_argmax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1974805Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1975012Z   test_noncontiguous_innermost_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1975206Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.1975402Z   test_noncontiguous_innermost_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1975587Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1975797Z   test_noncontiguous_innermost_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1975980Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1976582Z   test_noncontiguous_innermost_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1976877Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1976991Z   test_noncontiguous_innermost_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1977180Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1977360Z   test_noncontiguous_innermost_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1977546Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.1977748Z   test_noncontiguous_innermost_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1977936Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1978148Z   test_noncontiguous_innermost_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1978333Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1978538Z   test_noncontiguous_innermost_argmin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1978724Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.1978915Z   test_noncontiguous_innermost_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1979105Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.1979308Z   test_noncontiguous_innermost_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1979497Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1979701Z   test_noncontiguous_innermost_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1980036Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.1980239Z   test_noncontiguous_innermost_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1980429Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.1980610Z   test_noncontiguous_innermost_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1980802Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1981000Z   test_noncontiguous_innermost_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1981188Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.1981390Z   test_noncontiguous_innermost_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1981578Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1981896Z   test_noncontiguous_innermost_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1982089Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.1982297Z   test_noncontiguous_innermost_count_nonzero_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1982474Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1982725Z   test_noncontiguous_innermost_count_nonzero_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1982880Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1983074Z   test_noncontiguous_innermost_count_nonzero_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1983265Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1983486Z   test_noncontiguous_innermost_count_nonzero_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1983675Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.1983873Z   test_noncontiguous_innermost_count_nonzero_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1984066Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1984282Z   test_noncontiguous_innermost_count_nonzero_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1984470Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.1984693Z   test_noncontiguous_innermost_count_nonzero_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1984881Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1985093Z   test_noncontiguous_innermost_count_nonzero_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1985281Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1985470Z   test_noncontiguous_innermost_count_nonzero_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1985656Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1985870Z   test_noncontiguous_innermost_count_nonzero_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1986070Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1986287Z   test_noncontiguous_innermost_count_nonzero_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1986475Z Tests reducing along noncontiguous innermost dimension. ... ok (0.006s)
2022-11-23T03:06:45.1986690Z   test_noncontiguous_innermost_count_nonzero_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1986897Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.1987092Z   test_noncontiguous_innermost_linalg_vector_norm_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1987338Z Tests reducing along noncontiguous innermost dimension. ... ok (0.006s)
2022-11-23T03:06:45.1987505Z   test_noncontiguous_innermost_linalg_vector_norm_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1987767Z Tests reducing along noncontiguous innermost dimension. ... ok (0.006s)
2022-11-23T03:06:45.1988000Z   test_noncontiguous_innermost_linalg_vector_norm_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1988384Z Tests reducing along noncontiguous innermost dimension. ... ok (0.006s)
2022-11-23T03:06:45.1988713Z   test_noncontiguous_innermost_linalg_vector_norm_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1988989Z Tests reducing along noncontiguous innermost dimension. ... ok (0.007s)
2022-11-23T03:06:45.1989324Z   test_noncontiguous_innermost_linalg_vector_norm_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1989520Z Tests reducing along noncontiguous innermost dimension. ... ok (0.006s)
2022-11-23T03:06:45.1989809Z   test_noncontiguous_innermost_linalg_vector_norm_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1989931Z Tests reducing along noncontiguous innermost dimension. ... ok (0.006s)
2022-11-23T03:06:45.1990202Z   test_noncontiguous_innermost_masked_amax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1990348Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1990561Z   test_noncontiguous_innermost_masked_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1990748Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.1991023Z   test_noncontiguous_innermost_masked_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1991232Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1991445Z   test_noncontiguous_innermost_masked_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1991629Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1991841Z   test_noncontiguous_innermost_masked_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1992025Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1992234Z   test_noncontiguous_innermost_masked_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1992422Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1992613Z   test_noncontiguous_innermost_masked_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1992805Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1993015Z   test_noncontiguous_innermost_masked_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1993202Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1993413Z   test_noncontiguous_innermost_masked_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1993602Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.1993817Z   test_noncontiguous_innermost_masked_amin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1994004Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1994205Z   test_noncontiguous_innermost_masked_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1994394Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1994602Z   test_noncontiguous_innermost_masked_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1994796Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1995009Z   test_noncontiguous_innermost_masked_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1995196Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1995403Z   test_noncontiguous_innermost_masked_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1995590Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1995777Z   test_noncontiguous_innermost_masked_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1996036Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1996243Z   test_noncontiguous_innermost_masked_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1996428Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1996644Z   test_noncontiguous_innermost_masked_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1996830Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.1997040Z   test_noncontiguous_innermost_masked_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1997227Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1997428Z   test_noncontiguous_innermost_masked_argmax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1997617Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1997831Z   test_noncontiguous_innermost_masked_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1998021Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1998238Z   test_noncontiguous_innermost_masked_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1998427Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1998694Z   test_noncontiguous_innermost_masked_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1998891Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1999108Z   test_noncontiguous_innermost_masked_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1999275Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.1999486Z   test_noncontiguous_innermost_masked_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.1999677Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.1999892Z   test_noncontiguous_innermost_masked_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2000079Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2000292Z   test_noncontiguous_innermost_masked_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2000480Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2000690Z   test_noncontiguous_innermost_masked_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2000863Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2001078Z   test_noncontiguous_innermost_masked_argmin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2001268Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2001483Z   test_noncontiguous_innermost_masked_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2001672Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2001932Z   test_noncontiguous_innermost_masked_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2002120Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2002334Z   test_noncontiguous_innermost_masked_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2002506Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2002718Z   test_noncontiguous_innermost_masked_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2002905Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2003120Z   test_noncontiguous_innermost_masked_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2003308Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2003520Z   test_noncontiguous_innermost_masked_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2003776Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2003990Z   test_noncontiguous_innermost_masked_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2004158Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2004376Z   test_noncontiguous_innermost_masked_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2004568Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2004798Z   test_noncontiguous_innermost_masked_logsumexp_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2004985Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2005207Z   test_noncontiguous_innermost_masked_logsumexp_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2005395Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2005619Z   test_noncontiguous_innermost_masked_logsumexp_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2005791Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2006021Z   test_noncontiguous_innermost_masked_logsumexp_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2006209Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2006485Z   test_noncontiguous_innermost_masked_logsumexp_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2006685Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2006903Z   test_noncontiguous_innermost_masked_logsumexp_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2007094Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2007313Z   test_noncontiguous_innermost_masked_logsumexp_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2007481Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2007703Z   test_noncontiguous_innermost_masked_logsumexp_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2007892Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2008114Z   test_noncontiguous_innermost_masked_logsumexp_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2008315Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2008535Z   test_noncontiguous_innermost_masked_mean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2008737Z Tests reducing along noncontiguous innermost dimension. ... ok (0.005s)
2022-11-23T03:06:45.2008948Z   test_noncontiguous_innermost_masked_mean_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2009115Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2009333Z   test_noncontiguous_innermost_masked_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2009524Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2009742Z   test_noncontiguous_innermost_masked_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2009933Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2010148Z   test_noncontiguous_innermost_masked_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2010333Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2010544Z   test_noncontiguous_innermost_masked_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2010715Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2010932Z   test_noncontiguous_innermost_masked_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2011116Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2011327Z   test_noncontiguous_innermost_masked_mean_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2011607Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2011813Z   test_noncontiguous_innermost_masked_mean_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2012004Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2012216Z   test_noncontiguous_innermost_masked_mean_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2012386Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2012596Z   test_noncontiguous_innermost_masked_mean_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2012781Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2012994Z   test_noncontiguous_innermost_masked_mean_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2013182Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2013410Z   test_noncontiguous_innermost_masked_norm_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2013601Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2013819Z   test_noncontiguous_innermost_masked_norm_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2014047Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2014264Z   test_noncontiguous_innermost_masked_norm_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2014452Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2014667Z   test_noncontiguous_innermost_masked_norm_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2014861Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2015080Z   test_noncontiguous_innermost_masked_prod_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2015278Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2015498Z   test_noncontiguous_innermost_masked_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2015688Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2015888Z   test_noncontiguous_innermost_masked_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2016482Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2016771Z   test_noncontiguous_innermost_masked_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2016936Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2017155Z   test_noncontiguous_innermost_masked_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2017319Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2017532Z   test_noncontiguous_innermost_masked_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2017726Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2017926Z   test_noncontiguous_innermost_masked_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2018122Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2018328Z   test_noncontiguous_innermost_masked_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2018516Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2018726Z   test_noncontiguous_innermost_masked_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2018914Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2019124Z   test_noncontiguous_innermost_masked_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2019309Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2019502Z   test_noncontiguous_innermost_masked_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2019866Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2020081Z   test_noncontiguous_innermost_masked_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2020269Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2020483Z   test_noncontiguous_innermost_masked_std_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2020671Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2020886Z   test_noncontiguous_innermost_masked_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2021072Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2021273Z   test_noncontiguous_innermost_masked_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2021462Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2021681Z   test_noncontiguous_innermost_masked_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2021866Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2022074Z   test_noncontiguous_innermost_masked_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2022365Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2022587Z   test_noncontiguous_innermost_masked_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2022774Z Tests reducing along noncontiguous innermost dimension. ... ok (0.005s)
2022-11-23T03:06:45.2022964Z   test_noncontiguous_innermost_masked_std_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2023147Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2023354Z   test_noncontiguous_innermost_masked_std_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2023544Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2023757Z   test_noncontiguous_innermost_masked_std_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2023944Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2024149Z   test_noncontiguous_innermost_masked_std_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2024338Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2024526Z   test_noncontiguous_innermost_masked_std_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2024712Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2024924Z   test_noncontiguous_innermost_masked_sum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2025112Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2025321Z   test_noncontiguous_innermost_masked_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2025510Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2025724Z   test_noncontiguous_innermost_masked_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2025912Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2026117Z   test_noncontiguous_innermost_masked_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2026306Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2026518Z   test_noncontiguous_innermost_masked_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2026704Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2026910Z   test_noncontiguous_innermost_masked_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2027098Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2027309Z   test_noncontiguous_innermost_masked_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2027574Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2027763Z   test_noncontiguous_innermost_masked_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2027951Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2028156Z   test_noncontiguous_innermost_masked_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2028346Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2028563Z   test_noncontiguous_innermost_masked_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2028741Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2028949Z   test_noncontiguous_innermost_masked_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2029136Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2029360Z   test_noncontiguous_innermost_masked_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2029516Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2029730Z   test_noncontiguous_innermost_masked_var_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2029921Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2030229Z   test_noncontiguous_innermost_masked_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2030429Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2030645Z   test_noncontiguous_innermost_masked_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2030837Z Tests reducing along noncontiguous innermost dimension. ... ok (0.005s)
2022-11-23T03:06:45.2031033Z   test_noncontiguous_innermost_masked_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2031222Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2031439Z   test_noncontiguous_innermost_masked_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2031626Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2031834Z   test_noncontiguous_innermost_masked_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2032024Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2032269Z   test_noncontiguous_innermost_masked_var_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2032499Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2032610Z   test_noncontiguous_innermost_masked_var_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2032799Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2033004Z   test_noncontiguous_innermost_masked_var_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2033200Z Tests reducing along noncontiguous innermost dimension. ... ok (0.005s)
2022-11-23T03:06:45.2033454Z   test_noncontiguous_innermost_masked_var_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2033595Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2033802Z   test_noncontiguous_innermost_masked_var_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2033991Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2034180Z   test_noncontiguous_innermost_mean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2034366Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2034575Z   test_noncontiguous_innermost_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2034762Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2034970Z   test_noncontiguous_innermost_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2035236Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2035440Z   test_noncontiguous_innermost_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2035626Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2035815Z   test_noncontiguous_innermost_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2036001Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2036201Z   test_noncontiguous_innermost_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2036390Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2036600Z   test_noncontiguous_innermost_nanmean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2036786Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2036993Z   test_noncontiguous_innermost_nanmean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2037181Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2037367Z   test_noncontiguous_innermost_nanmean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2037555Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2037821Z   test_noncontiguous_innermost_nanmean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2038021Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2038224Z   test_noncontiguous_innermost_nansum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2038409Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2038611Z   test_noncontiguous_innermost_nansum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2038802Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2038989Z   test_noncontiguous_innermost_nansum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2039185Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2039388Z   test_noncontiguous_innermost_nansum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2039575Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2039781Z   test_noncontiguous_innermost_nansum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2039968Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2040171Z   test_noncontiguous_innermost_nansum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2040359Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2040539Z   test_noncontiguous_innermost_nansum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2040720Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2040978Z   test_noncontiguous_innermost_nansum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2041118Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2041308Z   test_noncontiguous_innermost_nansum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2041498Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2041709Z   test_noncontiguous_innermost_nansum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2041898Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2042089Z   test_noncontiguous_innermost_prod_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2042280Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2042487Z   test_noncontiguous_innermost_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2042671Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2042967Z   test_noncontiguous_innermost_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2043154Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2043366Z   test_noncontiguous_innermost_prod_cuda_complex32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2043559Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2043750Z   test_noncontiguous_innermost_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2043934Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2044142Z   test_noncontiguous_innermost_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2044328Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2044526Z   test_noncontiguous_innermost_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2044713Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2044919Z   test_noncontiguous_innermost_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2045106Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2045290Z   test_noncontiguous_innermost_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2045536Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2045750Z   test_noncontiguous_innermost_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2045937Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2046142Z   test_noncontiguous_innermost_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2046330Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2046529Z   test_noncontiguous_innermost_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2046721Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2046910Z   test_noncontiguous_innermost_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2047104Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2047308Z   test_noncontiguous_innermost_std_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2047498Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2047704Z   test_noncontiguous_innermost_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2047890Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2048095Z   test_noncontiguous_innermost_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2048361Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2048548Z   test_noncontiguous_innermost_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2048740Z Tests reducing along noncontiguous innermost dimension. ... ok (0.005s)
2022-11-23T03:06:45.2048948Z   test_noncontiguous_innermost_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2049139Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2049340Z   test_noncontiguous_innermost_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2049531Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2049777Z   test_noncontiguous_innermost_sum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2049946Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2050103Z   test_noncontiguous_innermost_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2050339Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2050501Z   test_noncontiguous_innermost_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2050777Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2050982Z   test_noncontiguous_innermost_sum_cuda_complex32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2051168Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2051370Z   test_noncontiguous_innermost_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2051561Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2051745Z   test_noncontiguous_innermost_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2051936Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2052137Z   test_noncontiguous_innermost_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2052324Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2052525Z   test_noncontiguous_innermost_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2052718Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2052914Z   test_noncontiguous_innermost_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2053100Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2053282Z   test_noncontiguous_innermost_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2053539Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2053746Z   test_noncontiguous_innermost_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2053931Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2054129Z   test_noncontiguous_innermost_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2054319Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2054517Z   test_noncontiguous_innermost_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2054710Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2054896Z   test_noncontiguous_innermost_var_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2055081Z Tests reducing along noncontiguous innermost dimension. ... ok (0.005s)
2022-11-23T03:06:45.2055292Z   test_noncontiguous_innermost_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2055478Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2055683Z   test_noncontiguous_innermost_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2055870Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2056397Z   test_noncontiguous_innermost_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2056597Z Tests reducing along noncontiguous innermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2056779Z   test_noncontiguous_innermost_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2056979Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2057257Z   test_noncontiguous_innermost_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2057415Z Tests reducing along noncontiguous innermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2057622Z   test_noncontiguous_outermost_all_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2057810Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2058007Z   test_noncontiguous_outermost_all_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2058197Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2058386Z   test_noncontiguous_outermost_all_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2058571Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2058779Z   test_noncontiguous_outermost_all_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2059114Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2059316Z   test_noncontiguous_outermost_all_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2059502Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2059706Z   test_noncontiguous_outermost_all_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2059896Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2060079Z   test_noncontiguous_outermost_all_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2060264Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2060465Z   test_noncontiguous_outermost_all_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2060650Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2060846Z   test_noncontiguous_outermost_all_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2061037Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2061232Z   test_noncontiguous_outermost_all_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2061419Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2061670Z   test_noncontiguous_outermost_all_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2061868Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2062066Z   test_noncontiguous_outermost_all_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2062252Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2062506Z   test_noncontiguous_outermost_amax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2062694Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2062893Z   test_noncontiguous_outermost_amax_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2063090Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2063274Z   test_noncontiguous_outermost_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2063461Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2063662Z   test_noncontiguous_outermost_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2063848Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2064043Z   test_noncontiguous_outermost_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2064228Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2064428Z   test_noncontiguous_outermost_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2064617Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2064805Z   test_noncontiguous_outermost_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2064992Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2065194Z   test_noncontiguous_outermost_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2065378Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2065578Z   test_noncontiguous_outermost_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2065769Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2065967Z   test_noncontiguous_outermost_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2066137Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2066347Z   test_noncontiguous_outermost_amin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2066533Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2066801Z   test_noncontiguous_outermost_amin_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2067033Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2067238Z   test_noncontiguous_outermost_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2067424Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2067629Z   test_noncontiguous_outermost_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2067800Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2068001Z   test_noncontiguous_outermost_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2068184Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2068383Z   test_noncontiguous_outermost_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2068575Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2068779Z   test_noncontiguous_outermost_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2068967Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2069167Z   test_noncontiguous_outermost_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2069338Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2069599Z   test_noncontiguous_outermost_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2069799Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2070002Z   test_noncontiguous_outermost_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2070190Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2070389Z   test_noncontiguous_outermost_any_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2070573Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2070774Z   test_noncontiguous_outermost_any_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2070944Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2071154Z   test_noncontiguous_outermost_any_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2071343Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2071552Z   test_noncontiguous_outermost_any_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2071739Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2071940Z   test_noncontiguous_outermost_any_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2072128Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2072327Z   test_noncontiguous_outermost_any_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2072499Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2072703Z   test_noncontiguous_outermost_any_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2072890Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2073087Z   test_noncontiguous_outermost_any_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2073278Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2073476Z   test_noncontiguous_outermost_any_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2073664Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2073863Z   test_noncontiguous_outermost_any_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2074032Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2074230Z   test_noncontiguous_outermost_any_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2074425Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2074688Z   test_noncontiguous_outermost_any_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2074875Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2075080Z   test_noncontiguous_outermost_argmax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2075270Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2075476Z   test_noncontiguous_outermost_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2075645Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2075845Z   test_noncontiguous_outermost_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2076031Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2076238Z   test_noncontiguous_outermost_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2076429Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2076633Z   test_noncontiguous_outermost_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2076818Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2077016Z   test_noncontiguous_outermost_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2077260Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2077475Z   test_noncontiguous_outermost_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2077661Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2077863Z   test_noncontiguous_outermost_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2078051Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2078254Z   test_noncontiguous_outermost_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2078450Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2078658Z   test_noncontiguous_outermost_argmin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2078829Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2079034Z   test_noncontiguous_outermost_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2079222Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2079423Z   test_noncontiguous_outermost_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2079609Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2079813Z   test_noncontiguous_outermost_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2080001Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2080202Z   test_noncontiguous_outermost_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2080373Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2080573Z   test_noncontiguous_outermost_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2080761Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2080966Z   test_noncontiguous_outermost_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2081155Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2081356Z   test_noncontiguous_outermost_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2081544Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2081744Z   test_noncontiguous_outermost_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2081916Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2082135Z   test_noncontiguous_outermost_count_nonzero_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2082446Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2082727Z   test_noncontiguous_outermost_count_nonzero_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2082914Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2083143Z   test_noncontiguous_outermost_count_nonzero_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2083333Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2083559Z   test_noncontiguous_outermost_count_nonzero_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2083728Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2083946Z   test_noncontiguous_outermost_count_nonzero_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2084144Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2084363Z   test_noncontiguous_outermost_count_nonzero_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2084547Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2084761Z   test_noncontiguous_outermost_count_nonzero_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2085010Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2085235Z   test_noncontiguous_outermost_count_nonzero_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2085406Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2085624Z   test_noncontiguous_outermost_count_nonzero_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2085810Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2086018Z   test_noncontiguous_outermost_count_nonzero_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2086207Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2086425Z   test_noncontiguous_outermost_count_nonzero_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2086612Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2086825Z   test_noncontiguous_outermost_count_nonzero_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2087003Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2087237Z   test_noncontiguous_outermost_linalg_vector_norm_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2087425Z Tests reducing along noncontiguous outermost dimension. ... ok (0.006s)
2022-11-23T03:06:45.2087661Z   test_noncontiguous_outermost_linalg_vector_norm_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2087848Z Tests reducing along noncontiguous outermost dimension. ... ok (0.006s)
2022-11-23T03:06:45.2088077Z   test_noncontiguous_outermost_linalg_vector_norm_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2088272Z Tests reducing along noncontiguous outermost dimension. ... ok (0.007s)
2022-11-23T03:06:45.2088495Z   test_noncontiguous_outermost_linalg_vector_norm_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2088685Z Tests reducing along noncontiguous outermost dimension. ... ok (0.007s)
2022-11-23T03:06:45.2088897Z   test_noncontiguous_outermost_linalg_vector_norm_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2089089Z Tests reducing along noncontiguous outermost dimension. ... ok (0.007s)
2022-11-23T03:06:45.2089310Z   test_noncontiguous_outermost_linalg_vector_norm_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2089500Z Tests reducing along noncontiguous outermost dimension. ... ok (0.006s)
2022-11-23T03:06:45.2089719Z   test_noncontiguous_outermost_masked_amax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2089907Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2090197Z   test_noncontiguous_outermost_masked_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2090386Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2090586Z   test_noncontiguous_outermost_masked_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2090779Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2090999Z   test_noncontiguous_outermost_masked_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2091194Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2091404Z   test_noncontiguous_outermost_masked_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2091594Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2091800Z   test_noncontiguous_outermost_masked_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2091995Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2092193Z   test_noncontiguous_outermost_masked_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2092384Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2092596Z   test_noncontiguous_outermost_masked_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2092848Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2093067Z   test_noncontiguous_outermost_masked_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2093254Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2093469Z   test_noncontiguous_outermost_masked_amin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2093654Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2093853Z   test_noncontiguous_outermost_masked_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2094046Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2094257Z   test_noncontiguous_outermost_masked_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2094442Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2094660Z   test_noncontiguous_outermost_masked_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2094846Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2095053Z   test_noncontiguous_outermost_masked_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2095238Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2095422Z   test_noncontiguous_outermost_masked_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2095612Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2095828Z   test_noncontiguous_outermost_masked_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2096395Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2096638Z   test_noncontiguous_outermost_masked_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2096829Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2097046Z   test_noncontiguous_outermost_masked_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2097261Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2097435Z   test_noncontiguous_outermost_masked_argmax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2097630Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2097848Z   test_noncontiguous_outermost_masked_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2098033Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2098424Z   test_noncontiguous_outermost_masked_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2098612Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2098829Z   test_noncontiguous_outermost_masked_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2099024Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2099219Z   test_noncontiguous_outermost_masked_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2099405Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2099615Z   test_noncontiguous_outermost_masked_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2099801Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2100013Z   test_noncontiguous_outermost_masked_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2100200Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2100417Z   test_noncontiguous_outermost_masked_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2100606Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2100799Z   test_noncontiguous_outermost_masked_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2101066Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2101299Z   test_noncontiguous_outermost_masked_argmin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2101489Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2101702Z   test_noncontiguous_outermost_masked_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2101887Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2102097Z   test_noncontiguous_outermost_masked_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2102287Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2102484Z   test_noncontiguous_outermost_masked_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2102672Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2102886Z   test_noncontiguous_outermost_masked_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2103077Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2103286Z   test_noncontiguous_outermost_masked_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2103476Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2103683Z   test_noncontiguous_outermost_masked_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2103866Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2104063Z   test_noncontiguous_outermost_masked_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2104256Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2104470Z   test_noncontiguous_outermost_masked_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2104661Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2104892Z   test_noncontiguous_outermost_masked_logsumexp_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2105077Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2105301Z   test_noncontiguous_outermost_masked_logsumexp_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2105490Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2105693Z   test_noncontiguous_outermost_masked_logsumexp_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2105884Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2106182Z   test_noncontiguous_outermost_masked_logsumexp_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2106369Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2106587Z   test_noncontiguous_outermost_masked_logsumexp_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2106779Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2106998Z   test_noncontiguous_outermost_masked_logsumexp_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2107188Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2107404Z   test_noncontiguous_outermost_masked_logsumexp_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2107575Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2107792Z   test_noncontiguous_outermost_masked_logsumexp_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2107987Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2108206Z   test_noncontiguous_outermost_masked_logsumexp_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2108394Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2108672Z   test_noncontiguous_outermost_masked_mean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2108869Z Tests reducing along noncontiguous outermost dimension. ... ok (0.005s)
2022-11-23T03:06:45.2109081Z   test_noncontiguous_outermost_masked_mean_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2109250Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2109469Z   test_noncontiguous_outermost_masked_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2109662Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2109878Z   test_noncontiguous_outermost_masked_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2110069Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2110280Z   test_noncontiguous_outermost_masked_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2110467Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2110681Z   test_noncontiguous_outermost_masked_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2110854Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2111067Z   test_noncontiguous_outermost_masked_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2111253Z Tests reducing along noncontiguous outermost dimension. ... ok (0.005s)
2022-11-23T03:06:45.2111466Z   test_noncontiguous_outermost_masked_mean_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2111652Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2111862Z   test_noncontiguous_outermost_masked_mean_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2112052Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2112261Z   test_noncontiguous_outermost_masked_mean_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2112433Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2112645Z   test_noncontiguous_outermost_masked_mean_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2112830Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2113039Z   test_noncontiguous_outermost_masked_mean_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2113229Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2113446Z   test_noncontiguous_outermost_masked_norm_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2113637Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2113925Z   test_noncontiguous_outermost_masked_norm_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2114095Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2114304Z   test_noncontiguous_outermost_masked_norm_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2114496Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2114711Z   test_noncontiguous_outermost_masked_norm_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2114899Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2115116Z   test_noncontiguous_outermost_masked_prod_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2115307Z Tests reducing along noncontiguous outermost dimension. ... ok (0.005s)
2022-11-23T03:06:45.2115519Z   test_noncontiguous_outermost_masked_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2115691Z Tests reducing along noncontiguous outermost dimension. ... ok (0.005s)
2022-11-23T03:06:45.2115914Z   test_noncontiguous_outermost_masked_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2116103Z Tests reducing along noncontiguous outermost dimension. ... ok (0.007s)
2022-11-23T03:06:45.2116390Z   test_noncontiguous_outermost_masked_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2116586Z Tests reducing along noncontiguous outermost dimension. ... ok (0.006s)
2022-11-23T03:06:45.2116800Z   test_noncontiguous_outermost_masked_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2116986Z Tests reducing along noncontiguous outermost dimension. ... ok (0.006s)
2022-11-23T03:06:45.2117201Z   test_noncontiguous_outermost_masked_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2117372Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2117585Z   test_noncontiguous_outermost_masked_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2117776Z Tests reducing along noncontiguous outermost dimension. ... ok (0.005s)
2022-11-23T03:06:45.2117993Z   test_noncontiguous_outermost_masked_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2118182Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2118394Z   test_noncontiguous_outermost_masked_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2118584Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2118793Z   test_noncontiguous_outermost_masked_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2118960Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2119173Z   test_noncontiguous_outermost_masked_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2119361Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2119579Z   test_noncontiguous_outermost_masked_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2119766Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2119977Z   test_noncontiguous_outermost_masked_std_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2120165Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2120388Z   test_noncontiguous_outermost_masked_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2120562Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2120785Z   test_noncontiguous_outermost_masked_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2120969Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2121188Z   test_noncontiguous_outermost_masked_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2121380Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2121666Z   test_noncontiguous_outermost_masked_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2121855Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2122067Z   test_noncontiguous_outermost_masked_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2122243Z Tests reducing along noncontiguous outermost dimension. ... ok (0.005s)
2022-11-23T03:06:45.2122463Z   test_noncontiguous_outermost_masked_std_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2122652Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2122855Z   test_noncontiguous_outermost_masked_std_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2123044Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2123249Z   test_noncontiguous_outermost_masked_std_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2123442Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2123652Z   test_noncontiguous_outermost_masked_std_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2123823Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2124088Z   test_noncontiguous_outermost_masked_std_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2124284Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2124497Z   test_noncontiguous_outermost_masked_sum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2124685Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2124894Z   test_noncontiguous_outermost_masked_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2125078Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2125295Z   test_noncontiguous_outermost_masked_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2125469Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2125689Z   test_noncontiguous_outermost_masked_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2125873Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2126088Z   test_noncontiguous_outermost_masked_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2126279Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2126488Z   test_noncontiguous_outermost_masked_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2126679Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2126891Z   test_noncontiguous_outermost_masked_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2127062Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2127276Z   test_noncontiguous_outermost_masked_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2127468Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2127672Z   test_noncontiguous_outermost_masked_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2127859Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2128073Z   test_noncontiguous_outermost_masked_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2128263Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2128470Z   test_noncontiguous_outermost_masked_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2128644Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2128852Z   test_noncontiguous_outermost_masked_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2129037Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2129339Z   test_noncontiguous_outermost_masked_var_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2129535Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2129754Z   test_noncontiguous_outermost_masked_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2129946Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2130168Z   test_noncontiguous_outermost_masked_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2130358Z Tests reducing along noncontiguous outermost dimension. ... ok (0.005s)
2022-11-23T03:06:45.2130557Z   test_noncontiguous_outermost_masked_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2130744Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2130956Z   test_noncontiguous_outermost_masked_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2131153Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2131362Z   test_noncontiguous_outermost_masked_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2131552Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2131761Z   test_noncontiguous_outermost_masked_var_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2132043Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2132239Z   test_noncontiguous_outermost_masked_var_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2132427Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2132629Z   test_noncontiguous_outermost_masked_var_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2132822Z Tests reducing along noncontiguous outermost dimension. ... ok (0.005s)
2022-11-23T03:06:45.2133030Z   test_noncontiguous_outermost_masked_var_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2133222Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2133434Z   test_noncontiguous_outermost_masked_var_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2133618Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2133809Z   test_noncontiguous_outermost_mean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2133998Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2134209Z   test_noncontiguous_outermost_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2134393Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2134602Z   test_noncontiguous_outermost_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2134795Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2134999Z   test_noncontiguous_outermost_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2135193Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2135376Z   test_noncontiguous_outermost_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2135560Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2135807Z   test_noncontiguous_outermost_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2135998Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2136543Z   test_noncontiguous_outermost_nanmean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2136803Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2136948Z   test_noncontiguous_outermost_nanmean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2137133Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2137484Z   test_noncontiguous_outermost_nanmean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2137717Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2137911Z   test_noncontiguous_outermost_nanmean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2138071Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2138283Z   test_noncontiguous_outermost_nansum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2138468Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2138673Z   test_noncontiguous_outermost_nansum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2138862Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2139052Z   test_noncontiguous_outermost_nansum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2139238Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2139444Z   test_noncontiguous_outermost_nansum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2139626Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2139826Z   test_noncontiguous_outermost_nansum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2140084Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2140299Z   test_noncontiguous_outermost_nansum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2140488Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2140668Z   test_noncontiguous_outermost_nansum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2140852Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2141045Z   test_noncontiguous_outermost_nansum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2141231Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2141439Z   test_noncontiguous_outermost_nansum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2141629Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2141832Z   test_noncontiguous_outermost_nansum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2142088Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2142281Z   test_noncontiguous_outermost_prod_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2142467Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2142669Z   test_noncontiguous_outermost_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2142855Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2143065Z   test_noncontiguous_outermost_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2143253Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2143464Z   test_noncontiguous_outermost_prod_cuda_complex32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2143655Z Tests reducing along noncontiguous outermost dimension. ... ok (5.075s)
2022-11-23T03:06:45.2143851Z   test_noncontiguous_outermost_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2144042Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2144245Z   test_noncontiguous_outermost_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2144431Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2144630Z   test_noncontiguous_outermost_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2144817Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2145020Z   test_noncontiguous_outermost_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2145276Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2145465Z   test_noncontiguous_outermost_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2145652Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2145850Z   test_noncontiguous_outermost_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2146046Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2146249Z   test_noncontiguous_outermost_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2146436Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2146635Z   test_noncontiguous_outermost_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2146805Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2147009Z   test_noncontiguous_outermost_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2147198Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2147399Z   test_noncontiguous_outermost_std_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2147580Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2147788Z   test_noncontiguous_outermost_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2148024Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2148239Z   test_noncontiguous_outermost_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2148409Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2148610Z   test_noncontiguous_outermost_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2148798Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2148998Z   test_noncontiguous_outermost_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2149191Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2149391Z   test_noncontiguous_outermost_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2149580Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2149784Z   test_noncontiguous_outermost_sum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2149953Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2150152Z   test_noncontiguous_outermost_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2150340Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2150548Z   test_noncontiguous_outermost_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2150735Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2150940Z   test_noncontiguous_outermost_sum_cuda_complex32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2151132Z Tests reducing along noncontiguous outermost dimension. ... ok (1.414s)
2022-11-23T03:06:45.2151333Z   test_noncontiguous_outermost_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2151501Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2151704Z   test_noncontiguous_outermost_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2151891Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2152089Z   test_noncontiguous_outermost_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2152278Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2152475Z   test_noncontiguous_outermost_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2152657Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2152853Z   test_noncontiguous_outermost_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2153091Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2153290Z   test_noncontiguous_outermost_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2153480Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2153681Z   test_noncontiguous_outermost_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2153868Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2154064Z   test_noncontiguous_outermost_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2154250Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2154448Z   test_noncontiguous_outermost_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2154619Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s)
2022-11-23T03:06:45.2154825Z   test_noncontiguous_outermost_var_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2155018Z Tests reducing along noncontiguous outermost dimension. ... ok (0.005s)
2022-11-23T03:06:45.2155225Z   test_noncontiguous_outermost_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2155413Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2155679Z   test_noncontiguous_outermost_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2155876Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2156075Z   test_noncontiguous_outermost_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2156247Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2156452Z   test_noncontiguous_outermost_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2156638Z Tests reducing along noncontiguous outermost dimension. ... ok (0.004s)
2022-11-23T03:06:45.2156837Z   test_noncontiguous_outermost_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2157030Z Tests reducing along noncontiguous outermost dimension. ... ok (0.003s)
2022-11-23T03:06:45.2157235Z   test_noncontiguous_transposed_all_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2157394Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2157599Z   test_noncontiguous_transposed_all_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2157738Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2157952Z   test_noncontiguous_transposed_all_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2158108Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2158322Z   test_noncontiguous_transposed_all_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2158480Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2158693Z   test_noncontiguous_transposed_all_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2158852Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2159058Z   test_noncontiguous_transposed_all_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2159197Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2159403Z   test_noncontiguous_transposed_all_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2159561Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2159766Z   test_noncontiguous_transposed_all_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2159920Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2160122Z   test_noncontiguous_transposed_all_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2160276Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2160460Z   test_noncontiguous_transposed_all_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2160617Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2160889Z   test_noncontiguous_transposed_all_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2161045Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2161248Z   test_noncontiguous_transposed_all_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2161403Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2161613Z   test_noncontiguous_transposed_amax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2161769Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2161951Z   test_noncontiguous_transposed_amax_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2162104Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2162309Z   test_noncontiguous_transposed_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2162462Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2162735Z   test_noncontiguous_transposed_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2162894Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2163099Z   test_noncontiguous_transposed_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2163256Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2163440Z   test_noncontiguous_transposed_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2163651Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2163862Z   test_noncontiguous_transposed_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2164017Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2164217Z   test_noncontiguous_transposed_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2164371Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2164575Z   test_noncontiguous_transposed_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2164714Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2164922Z   test_noncontiguous_transposed_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2165079Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2165291Z   test_noncontiguous_transposed_amin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2165450Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2165659Z   test_noncontiguous_transposed_amin_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2165816Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2166021Z   test_noncontiguous_transposed_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2166160Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2166366Z   test_noncontiguous_transposed_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2166517Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2166720Z   test_noncontiguous_transposed_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2166879Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2167170Z   test_noncontiguous_transposed_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2167325Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2167529Z   test_noncontiguous_transposed_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2167668Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2167868Z   test_noncontiguous_transposed_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2168025Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2168232Z   test_noncontiguous_transposed_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2168386Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2168594Z   test_noncontiguous_transposed_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2168839Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2169026Z   test_noncontiguous_transposed_any_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2169185Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2169385Z   test_noncontiguous_transposed_any_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2169543Z Tests reducing a transposed tensor. ... ok (0.007s)
2022-11-23T03:06:45.2169758Z   test_noncontiguous_transposed_any_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2169912Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2170122Z   test_noncontiguous_transposed_any_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2170277Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2170465Z   test_noncontiguous_transposed_any_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2170620Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2170831Z   test_noncontiguous_transposed_any_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2170988Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2171193Z   test_noncontiguous_transposed_any_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2171348Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2171610Z   test_noncontiguous_transposed_any_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2171775Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2171962Z   test_noncontiguous_transposed_any_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2172115Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2172315Z   test_noncontiguous_transposed_any_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2172467Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2172668Z   test_noncontiguous_transposed_any_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2172830Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2173032Z   test_noncontiguous_transposed_any_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2173168Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2173385Z   test_noncontiguous_transposed_argmax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2173541Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2173754Z   test_noncontiguous_transposed_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2173911Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2174125Z   test_noncontiguous_transposed_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2174277Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2174485Z   test_noncontiguous_transposed_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2174620Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2174832Z   test_noncontiguous_transposed_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2174988Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2175194Z   test_noncontiguous_transposed_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2175348Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2175556Z   test_noncontiguous_transposed_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2175713Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2175918Z   test_noncontiguous_transposed_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2176545Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2176851Z   test_noncontiguous_transposed_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2176943Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2177144Z   test_noncontiguous_transposed_argmin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2177473Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2177671Z   test_noncontiguous_transposed_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2177850Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2178044Z   test_noncontiguous_transposed_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2178174Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2178383Z   test_noncontiguous_transposed_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2178538Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2178743Z   test_noncontiguous_transposed_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2178897Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2179102Z   test_noncontiguous_transposed_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2179262Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2179447Z   test_noncontiguous_transposed_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2179603Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2179808Z   test_noncontiguous_transposed_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2180055Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2180270Z   test_noncontiguous_transposed_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2180424Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2180646Z   test_noncontiguous_transposed_count_nonzero_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2180802Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2181003Z   test_noncontiguous_transposed_count_nonzero_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2181158Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2181390Z   test_noncontiguous_transposed_count_nonzero_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2181544Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2181768Z   test_noncontiguous_transposed_count_nonzero_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2181920Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2182142Z   test_noncontiguous_transposed_count_nonzero_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2182296Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2182498Z   test_noncontiguous_transposed_count_nonzero_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2182653Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2182874Z   test_noncontiguous_transposed_count_nonzero_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2183029Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2183247Z   test_noncontiguous_transposed_count_nonzero_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2183400Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2183615Z   test_noncontiguous_transposed_count_nonzero_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2183770Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2183970Z   test_noncontiguous_transposed_count_nonzero_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2184126Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2184345Z   test_noncontiguous_transposed_count_nonzero_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2184497Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2184709Z   test_noncontiguous_transposed_count_nonzero_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2184862Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2185094Z   test_noncontiguous_transposed_linalg_vector_norm_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2185325Z Tests reducing a transposed tensor. ... ok (0.006s)
2022-11-23T03:06:45.2185562Z   test_noncontiguous_transposed_linalg_vector_norm_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2185718Z Tests reducing a transposed tensor. ... ok (0.006s)
2022-11-23T03:06:45.2185955Z   test_noncontiguous_transposed_linalg_vector_norm_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2186108Z Tests reducing a transposed tensor. ... ok (0.007s)
2022-11-23T03:06:45.2186334Z   test_noncontiguous_transposed_linalg_vector_norm_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2186488Z Tests reducing a transposed tensor. ... ok (0.007s)
2022-11-23T03:06:45.2186711Z   test_noncontiguous_transposed_linalg_vector_norm_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2186845Z Tests reducing a transposed tensor. ... ok (0.006s)
2022-11-23T03:06:45.2187072Z   test_noncontiguous_transposed_linalg_vector_norm_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2187229Z Tests reducing a transposed tensor. ... ok (0.006s)
2022-11-23T03:06:45.2187448Z   test_noncontiguous_transposed_masked_amax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2187600Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2187903Z   test_noncontiguous_transposed_masked_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2188066Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2188282Z   test_noncontiguous_transposed_masked_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2188418Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2188632Z   test_noncontiguous_transposed_masked_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2188784Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2188997Z   test_noncontiguous_transposed_masked_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2189154Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2189360Z   test_noncontiguous_transposed_masked_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2189512Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2189722Z   test_noncontiguous_transposed_masked_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2189862Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2190073Z   test_noncontiguous_transposed_masked_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2190232Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2190444Z   test_noncontiguous_transposed_masked_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2190597Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2190813Z   test_noncontiguous_transposed_masked_amin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2190972Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2191184Z   test_noncontiguous_transposed_masked_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2191319Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2191527Z   test_noncontiguous_transposed_masked_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2191684Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2191901Z   test_noncontiguous_transposed_masked_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2192055Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2192266Z   test_noncontiguous_transposed_masked_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2192418Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2192613Z   test_noncontiguous_transposed_masked_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2192767Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2193054Z   test_noncontiguous_transposed_masked_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2193210Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2193421Z   test_noncontiguous_transposed_masked_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2193576Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2193791Z   test_noncontiguous_transposed_masked_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2193945Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2194148Z   test_noncontiguous_transposed_masked_argmax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2194303Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2194522Z   test_noncontiguous_transposed_masked_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2194674Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2194892Z   test_noncontiguous_transposed_masked_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2195046Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2195263Z   test_noncontiguous_transposed_masked_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2195417Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2195675Z   test_noncontiguous_transposed_masked_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2195838Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2196049Z   test_noncontiguous_transposed_masked_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2196205Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2196422Z   test_noncontiguous_transposed_masked_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2196580Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2196796Z   test_noncontiguous_transposed_masked_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2196953Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2197150Z   test_noncontiguous_transposed_masked_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2197302Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2197527Z   test_noncontiguous_transposed_masked_argmin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2197686Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2197902Z   test_noncontiguous_transposed_masked_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2198056Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2198268Z   test_noncontiguous_transposed_masked_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2198422Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2198626Z   test_noncontiguous_transposed_masked_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2198790Z Tests reducing a transposed tensor. ... ok (0.005s)
2022-11-23T03:06:45.2198999Z   test_noncontiguous_transposed_masked_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2199154Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2199365Z   test_noncontiguous_transposed_masked_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2199520Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2199736Z   test_noncontiguous_transposed_masked_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2199872Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2200095Z   test_noncontiguous_transposed_masked_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2200248Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2200461Z   test_noncontiguous_transposed_masked_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2200696Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2200921Z   test_noncontiguous_transposed_masked_logsumexp_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2201075Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2201303Z   test_noncontiguous_transposed_masked_logsumexp_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2201446Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2201675Z   test_noncontiguous_transposed_masked_logsumexp_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2201831Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2202058Z   test_noncontiguous_transposed_masked_logsumexp_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2202211Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2202429Z   test_noncontiguous_transposed_masked_logsumexp_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2202586Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2202801Z   test_noncontiguous_transposed_masked_logsumexp_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2202938Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2203160Z   test_noncontiguous_transposed_masked_logsumexp_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2203432Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2203665Z   test_noncontiguous_transposed_masked_logsumexp_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2203819Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2204042Z   test_noncontiguous_transposed_masked_logsumexp_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2204194Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2204411Z   test_noncontiguous_transposed_masked_mean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2204548Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2204766Z   test_noncontiguous_transposed_masked_mean_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2204922Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2205140Z   test_noncontiguous_transposed_masked_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2205296Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2205516Z   test_noncontiguous_transposed_masked_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2205668Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2205883Z   test_noncontiguous_transposed_masked_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2206022Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2206231Z   test_noncontiguous_transposed_masked_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2206388Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2206609Z   test_noncontiguous_transposed_masked_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2206763Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2206975Z   test_noncontiguous_transposed_masked_mean_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2207127Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2207326Z   test_noncontiguous_transposed_masked_mean_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2207481Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2207689Z   test_noncontiguous_transposed_masked_mean_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2207844Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2208056Z   test_noncontiguous_transposed_masked_mean_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2208208Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2208421Z   test_noncontiguous_transposed_masked_mean_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2208656Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2208856Z   test_noncontiguous_transposed_masked_norm_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2209010Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2209232Z   test_noncontiguous_transposed_masked_norm_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2209385Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2209598Z   test_noncontiguous_transposed_masked_norm_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2209755Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2209968Z   test_noncontiguous_transposed_masked_norm_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2210123Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2210324Z   test_noncontiguous_transposed_masked_prod_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2210487Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2210703Z   test_noncontiguous_transposed_masked_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2210856Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2211075Z   test_noncontiguous_transposed_masked_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2211287Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2211520Z   test_noncontiguous_transposed_masked_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2211674Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2211873Z   test_noncontiguous_transposed_masked_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2212027Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2212242Z   test_noncontiguous_transposed_masked_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2212402Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2212619Z   test_noncontiguous_transposed_masked_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2212773Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2212987Z   test_noncontiguous_transposed_masked_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2213127Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2213338Z   test_noncontiguous_transposed_masked_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2213490Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2213698Z   test_noncontiguous_transposed_masked_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2213849Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2214061Z   test_noncontiguous_transposed_masked_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2214213Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2214435Z   test_noncontiguous_transposed_masked_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2214572Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2214790Z   test_noncontiguous_transposed_masked_std_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2214949Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2215175Z   test_noncontiguous_transposed_masked_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2215328Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2215548Z   test_noncontiguous_transposed_masked_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2215701Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2215915Z   test_noncontiguous_transposed_masked_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2216493Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2216871Z   test_noncontiguous_transposed_masked_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2217013Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2217229Z   test_noncontiguous_transposed_masked_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2217413Z Tests reducing a transposed tensor. ... ok (0.005s)
2022-11-23T03:06:45.2217641Z   test_noncontiguous_transposed_masked_std_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2217755Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2217961Z   test_noncontiguous_transposed_masked_std_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2218137Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2218303Z   test_noncontiguous_transposed_masked_std_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2218457Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2218669Z   test_noncontiguous_transposed_masked_std_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2218828Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2219039Z   test_noncontiguous_transposed_masked_std_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2219191Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2219479Z   test_noncontiguous_transposed_masked_sum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2219630Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2219840Z   test_noncontiguous_transposed_masked_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2219995Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2220217Z   test_noncontiguous_transposed_masked_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2220370Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2220586Z   test_noncontiguous_transposed_masked_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2220743Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2220940Z   test_noncontiguous_transposed_masked_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2221093Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2221303Z   test_noncontiguous_transposed_masked_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2221460Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2221673Z   test_noncontiguous_transposed_masked_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2221823Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2222031Z   test_noncontiguous_transposed_masked_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2222184Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2222375Z   test_noncontiguous_transposed_masked_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2222529Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2222738Z   test_noncontiguous_transposed_masked_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2222889Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2223099Z   test_noncontiguous_transposed_masked_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2223249Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2223461Z   test_noncontiguous_transposed_masked_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2223618Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2223818Z   test_noncontiguous_transposed_masked_var_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2223968Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2224187Z   test_noncontiguous_transposed_masked_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2224338Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2224642Z   test_noncontiguous_transposed_masked_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2224792Z Tests reducing a transposed tensor. ... ok (0.005s)
2022-11-23T03:06:45.2225005Z   test_noncontiguous_transposed_masked_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2225155Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2225352Z   test_noncontiguous_transposed_masked_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2225503Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2225708Z   test_noncontiguous_transposed_masked_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2225860Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2226071Z   test_noncontiguous_transposed_masked_var_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2226223Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2226428Z   test_noncontiguous_transposed_masked_var_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2226567Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2226771Z   test_noncontiguous_transposed_masked_var_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2226921Z Tests reducing a transposed tensor. ... ok (0.005s)
2022-11-23T03:06:45.2227186Z   test_noncontiguous_transposed_masked_var_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2227349Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2227562Z   test_noncontiguous_transposed_masked_var_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2227714Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2227924Z   test_noncontiguous_transposed_mean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2228062Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2228274Z   test_noncontiguous_transposed_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2228431Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2228640Z   test_noncontiguous_transposed_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2228794Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2229002Z   test_noncontiguous_transposed_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2229161Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2229368Z   test_noncontiguous_transposed_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2229506Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2229866Z   test_noncontiguous_transposed_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2230146Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2230503Z   test_noncontiguous_transposed_nanmean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2230713Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2230934Z   test_noncontiguous_transposed_nanmean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2231086Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2231297Z   test_noncontiguous_transposed_nanmean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2231434Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2231642Z   test_noncontiguous_transposed_nanmean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2231797Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2232002Z   test_noncontiguous_transposed_nansum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2232153Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2232359Z   test_noncontiguous_transposed_nansum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2232512Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2232706Z   test_noncontiguous_transposed_nansum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2232963Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2233173Z   test_noncontiguous_transposed_nansum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2233327Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2233539Z   test_noncontiguous_transposed_nansum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2233693Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2233899Z   test_noncontiguous_transposed_nansum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2234056Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2234245Z   test_noncontiguous_transposed_nansum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2234401Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2234603Z   test_noncontiguous_transposed_nansum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2234758Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2234963Z   test_noncontiguous_transposed_nansum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2235121Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2235324Z   test_noncontiguous_transposed_nansum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2235531Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2235732Z   test_noncontiguous_transposed_prod_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2235888Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2236095Z   test_noncontiguous_transposed_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2236247Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2236460Z   test_noncontiguous_transposed_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2236609Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2236822Z   test_noncontiguous_transposed_prod_cuda_complex32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2236959Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2237171Z   test_noncontiguous_transposed_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2237327Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2237535Z   test_noncontiguous_transposed_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2237688Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2237897Z   test_noncontiguous_transposed_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2238050Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2238258Z   test_noncontiguous_transposed_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2238396Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2238605Z   test_noncontiguous_transposed_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2238768Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2238972Z   test_noncontiguous_transposed_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2239127Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2239332Z   test_noncontiguous_transposed_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2239489Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2239696Z   test_noncontiguous_transposed_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2239835Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2240040Z   test_noncontiguous_transposed_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2240196Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2240403Z   test_noncontiguous_transposed_std_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2240563Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2240848Z   test_noncontiguous_transposed_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2241127Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2241472Z   test_noncontiguous_transposed_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2241763Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2242173Z   test_noncontiguous_transposed_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2242473Z Tests reducing a transposed tensor. ... ok (0.005s)
2022-11-23T03:06:45.2242688Z   test_noncontiguous_transposed_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2242844Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2243047Z   test_noncontiguous_transposed_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2243200Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2243390Z   test_noncontiguous_transposed_sum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2243552Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2243755Z   test_noncontiguous_transposed_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2243909Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2244240Z   test_noncontiguous_transposed_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2244406Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2244616Z   test_noncontiguous_transposed_sum_cuda_complex32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2244772Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2244965Z   test_noncontiguous_transposed_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2245118Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2245321Z   test_noncontiguous_transposed_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2245479Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2245681Z   test_noncontiguous_transposed_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2245833Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2246035Z   test_noncontiguous_transposed_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2246173Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2246378Z   test_noncontiguous_transposed_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2246532Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2246734Z   test_noncontiguous_transposed_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2246888Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2247089Z   test_noncontiguous_transposed_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2247245Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2247449Z   test_noncontiguous_transposed_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2247587Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2247790Z   test_noncontiguous_transposed_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2247943Z Tests reducing a transposed tensor. ... ok (0.002s)
2022-11-23T03:06:45.2248153Z   test_noncontiguous_transposed_var_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2248308Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2248517Z   test_noncontiguous_transposed_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2248671Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2248881Z   test_noncontiguous_transposed_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2249020Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2249224Z   test_noncontiguous_transposed_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2249455Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2249659Z   test_noncontiguous_transposed_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2249812Z Tests reducing a transposed tensor. ... ok (0.004s)
2022-11-23T03:06:45.2250016Z   test_noncontiguous_transposed_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2250173Z Tests reducing a transposed tensor. ... ok (0.003s)
2022-11-23T03:06:45.2250350Z   test_numpy_named_args_cuda (__main__.TestReductionsCUDA) ... ok (0.004s)
2022-11-23T03:06:45.2250919Z   test_prod_bool_cuda (__main__.TestReductionsCUDA) ... /var/lib/jenkins/workspace/test/test_reductions.py:1327: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
2022-11-23T03:06:45.2251518Z Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
2022-11-23T03:06:45.2251692Z   expect = np.prod(np.array(val), dtype=np.bool)
2022-11-23T03:06:45.2251792Z ok (0.004s)
2022-11-23T03:06:45.2252008Z   test_prod_cuda_float32 (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:06:45.2252257Z   test_prod_gpu_cuda_float16 (__main__.TestReductionsCUDA) ... ok (1.010s)
2022-11-23T03:06:45.2252456Z   test_prod_gpu_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.005s)
2022-11-23T03:06:45.2252687Z   test_prod_integer_upcast_cuda (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:06:45.2252865Z   test_quantile_backward_cuda (__main__.TestReductionsCUDA) ... ok (0.024s)
2022-11-23T03:06:45.2253387Z   test_quantile_cuda_float32 (__main__.TestReductionsCUDA) ... /opt/conda/lib/python3.10/site-packages/numpy/lib/nanfunctions.py:1395: RuntimeWarning: All-NaN slice encountered
2022-11-23T03:06:45.2253564Z   result = np.apply_along_axis(_nanquantile_1d, axis, a, q,
2022-11-23T03:06:45.2253945Z /opt/conda/lib/python3.10/site-packages/numpy/lib/nanfunctions.py:1374: RuntimeWarning: All-NaN slice encountered
2022-11-23T03:06:45.2254074Z   r, k = function_base._ureduce(
2022-11-23T03:06:45.2254172Z ok (7.747s)
2022-11-23T03:06:45.2254363Z   test_quantile_cuda_float64 (__main__.TestReductionsCUDA) ... ok (7.455s)
2022-11-23T03:06:45.2254556Z   test_quantile_error_cuda (__main__.TestReductionsCUDA) ... ok (0.042s)
2022-11-23T03:06:45.2254726Z   test_reduce_dtype_cuda (__main__.TestReductionsCUDA) ... ok (0.014s)
2022-11-23T03:06:45.2254931Z   test_reduction_empty_any_all_cuda (__main__.TestReductionsCUDA) ... ok (0.024s)
2022-11-23T03:06:45.2255170Z   test_reduction_split_cuda (__main__.TestReductionsCUDA) ... skip: Insufficient cuda:0 memory (0.217s)
2022-11-23T03:06:45.2255407Z   test_reduction_vectorize_along_input_corner_cuda_bfloat16 (__main__.TestReductionsCUDA) ... ok (2.361s)
2022-11-23T03:06:45.2255643Z   test_reduction_vectorize_along_input_corner_cuda_float16 (__main__.TestReductionsCUDA) ... ok (2.321s)
2022-11-23T03:06:45.2255883Z   test_reduction_vectorize_along_input_corner_cuda_float32 (__main__.TestReductionsCUDA) ... ok (3.833s)
2022-11-23T03:06:45.2256425Z   test_reduction_vectorize_along_input_corner_cuda_float64 (__main__.TestReductionsCUDA) ... ok (7.515s)
2022-11-23T03:06:45.2256727Z   test_reduction_vectorize_along_output_cuda_bfloat16 (__main__.TestReductionsCUDA) ... ok (0.059s)
2022-11-23T03:06:45.2256887Z   test_reduction_vectorize_along_output_cuda_float16 (__main__.TestReductionsCUDA) ... ok (0.059s)
2022-11-23T03:06:45.2257134Z   test_reduction_vectorize_along_output_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.059s)
2022-11-23T03:06:45.2257351Z   test_reduction_vectorize_along_output_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.059s)
2022-11-23T03:06:45.2257580Z   test_reductions_large_half_tensors_cuda_bfloat16 (__main__.TestReductionsCUDA) ... skip: Insufficient cuda:0 memory (0.247s)
2022-11-23T03:06:45.2258036Z   test_reductions_large_half_tensors_cuda_complex32 (__main__.TestReductionsCUDA) ... skip: Insufficient cuda:0 memory (0.176s)
2022-11-23T03:06:45.2258299Z   test_reductions_large_half_tensors_cuda_float16 (__main__.TestReductionsCUDA) ... skip: Insufficient cuda:0 memory (0.177s)
2022-11-23T03:06:45.2258499Z   test_ref_duplicate_values_all_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2258718Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2258923Z   test_ref_duplicate_values_all_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2259135Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2259319Z   test_ref_duplicate_values_all_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2259532Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2259727Z   test_ref_duplicate_values_all_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2259943Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2260136Z   test_ref_duplicate_values_all_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2260346Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2260611Z   test_ref_duplicate_values_all_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2260838Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2261013Z   test_ref_duplicate_values_all_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2261221Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2261412Z   test_ref_duplicate_values_all_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2261623Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2261868Z   test_ref_duplicate_values_all_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2262029Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2262254Z   test_ref_duplicate_values_all_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2262434Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2262611Z   test_ref_duplicate_values_all_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2262825Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2263014Z   test_ref_duplicate_values_amax_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2263287Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2263455Z   test_ref_duplicate_values_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2263630Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2263829Z   test_ref_duplicate_values_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2264037Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2264215Z   test_ref_duplicate_values_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2264431Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2264687Z   test_ref_duplicate_values_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2264834Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2265023Z   test_ref_duplicate_values_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2265233Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2265419Z   test_ref_duplicate_values_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2265692Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2265951Z   test_ref_duplicate_values_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2266082Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2266278Z   test_ref_duplicate_values_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2266484Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2266675Z   test_ref_duplicate_values_amin_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2266880Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2267197Z   test_ref_duplicate_values_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2267348Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2267547Z   test_ref_duplicate_values_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2267737Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2267932Z   test_ref_duplicate_values_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2268199Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2268454Z   test_ref_duplicate_values_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2268605Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2268796Z   test_ref_duplicate_values_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2269008Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2269196Z   test_ref_duplicate_values_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2269386Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2269634Z   test_ref_duplicate_values_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2269821Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2269990Z   test_ref_duplicate_values_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2270202Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2270394Z   test_ref_duplicate_values_any_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2270601Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2270868Z   test_ref_duplicate_values_any_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2271055Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2271194Z   test_ref_duplicate_values_any_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2271405Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2271601Z   test_ref_duplicate_values_any_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2271809Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2272006Z   test_ref_duplicate_values_any_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2272278Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2272407Z   test_ref_duplicate_values_any_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2272599Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2272799Z   test_ref_duplicate_values_any_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2273004Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2273272Z   test_ref_duplicate_values_any_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2273483Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2273673Z   test_ref_duplicate_values_any_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2273883Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2274078Z   test_ref_duplicate_values_any_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2274267Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2274463Z   test_ref_duplicate_values_any_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2274670Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2274871Z   test_ref_duplicate_values_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2275081Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2275285Z   test_ref_duplicate_values_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2275495Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2275699Z   test_ref_duplicate_values_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2275970Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2276161Z   test_ref_duplicate_values_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2276367Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2276567Z   test_ref_duplicate_values_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2276775Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2276971Z   test_ref_duplicate_values_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2277189Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2277384Z   test_ref_duplicate_values_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2277589Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2277771Z   test_ref_duplicate_values_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2277981Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2278183Z   test_ref_duplicate_values_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2278395Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2278593Z   test_ref_duplicate_values_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2278798Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2279003Z   test_ref_duplicate_values_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2279211Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2279389Z   test_ref_duplicate_values_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2279598Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2279794Z   test_ref_duplicate_values_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2280001Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2280196Z   test_ref_duplicate_values_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2280405Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2280601Z   test_ref_duplicate_values_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2280813Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2281072Z   test_ref_duplicate_values_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2281282Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2281493Z   test_ref_duplicate_values_count_nonzero_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2281706Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2281926Z   test_ref_duplicate_values_count_nonzero_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2282135Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2282349Z   test_ref_duplicate_values_count_nonzero_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2282555Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2282746Z   test_ref_duplicate_values_count_nonzero_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2282960Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2283164Z   test_ref_duplicate_values_count_nonzero_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2283367Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2283632Z   test_ref_duplicate_values_count_nonzero_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2283844Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2284052Z   test_ref_duplicate_values_count_nonzero_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2284256Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2284459Z   test_ref_duplicate_values_count_nonzero_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2284646Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2284857Z   test_ref_duplicate_values_count_nonzero_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2285063Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2285271Z   test_ref_duplicate_values_count_nonzero_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2285484Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2285694Z   test_ref_duplicate_values_count_nonzero_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2285900Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2286108Z   test_ref_duplicate_values_masked_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2286294Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2286503Z   test_ref_duplicate_values_masked_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2286712Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2286916Z   test_ref_duplicate_values_masked_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2287120Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2287329Z   test_ref_duplicate_values_masked_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2287535Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2287738Z   test_ref_duplicate_values_masked_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2287929Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2288136Z   test_ref_duplicate_values_masked_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2288340Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2288627Z   test_ref_duplicate_values_masked_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2288835Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2289036Z   test_ref_duplicate_values_masked_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2289248Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2289455Z   test_ref_duplicate_values_masked_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2289667Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2289855Z   test_ref_duplicate_values_masked_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2290059Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2290263Z   test_ref_duplicate_values_masked_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2290473Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2290680Z   test_ref_duplicate_values_masked_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2290891Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2291148Z   test_ref_duplicate_values_masked_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2291366Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2291551Z   test_ref_duplicate_values_masked_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2291756Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2291960Z   test_ref_duplicate_values_masked_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2292169Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2292375Z   test_ref_duplicate_values_masked_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2292582Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2292789Z   test_ref_duplicate_values_masked_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2292996Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2293182Z   test_ref_duplicate_values_masked_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2293387Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2293592Z   test_ref_duplicate_values_masked_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2293798Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2294003Z   test_ref_duplicate_values_masked_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2294212Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2294440Z   test_ref_duplicate_values_masked_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2294646Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2294838Z   test_ref_duplicate_values_masked_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2295055Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2295261Z   test_ref_duplicate_values_masked_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2295471Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2295679Z   test_ref_duplicate_values_masked_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2295886Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2296510Z   test_ref_duplicate_values_masked_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2296698Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2296905Z   test_ref_duplicate_values_masked_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2297098Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2297303Z   test_ref_duplicate_values_masked_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2297514Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2297716Z   test_ref_duplicate_values_masked_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2297923Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2298126Z   test_ref_duplicate_values_masked_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2298336Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2298538Z   test_ref_duplicate_values_masked_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2298728Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2299097Z   test_ref_duplicate_values_masked_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2299323Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2299530Z   test_ref_duplicate_values_masked_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2299737Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2299940Z   test_ref_duplicate_values_masked_mean_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2300182Z Compares op against reference for input tensors with duplicate values ... expected failure (0.005s)
2022-11-23T03:06:45.2300400Z   test_ref_duplicate_values_masked_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2300586Z Compares op against reference for input tensors with duplicate values ... ok (0.187s)
2022-11-23T03:06:45.2300798Z   test_ref_duplicate_values_masked_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2301004Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2301209Z   test_ref_duplicate_values_masked_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2301410Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2326486Z   test_ref_duplicate_values_masked_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2326944Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2327160Z   test_ref_duplicate_values_masked_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2327403Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2327598Z   test_ref_duplicate_values_masked_mean_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2327802Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2328003Z   test_ref_duplicate_values_masked_mean_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2328206Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2328401Z   test_ref_duplicate_values_masked_mean_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2328602Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2328796Z   test_ref_duplicate_values_masked_mean_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2329004Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2329607Z   test_ref_duplicate_values_masked_mean_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2329809Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2330008Z   test_ref_duplicate_values_masked_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2330211Z Compares op against reference for input tensors with duplicate values ... ok (0.007s)
2022-11-23T03:06:45.2330412Z   test_ref_duplicate_values_masked_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2330615Z Compares op against reference for input tensors with duplicate values ... ok (0.010s)
2022-11-23T03:06:45.2330821Z   test_ref_duplicate_values_masked_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2331024Z Compares op against reference for input tensors with duplicate values ... ok (0.009s)
2022-11-23T03:06:45.2331218Z   test_ref_duplicate_values_masked_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2331420Z Compares op against reference for input tensors with duplicate values ... ok (0.007s)
2022-11-23T03:06:45.2331620Z   test_ref_duplicate_values_masked_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2331825Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2332100Z   test_ref_duplicate_values_masked_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2332308Z Compares op against reference for input tensors with duplicate values ... ok (0.007s)
2022-11-23T03:06:45.2332504Z   test_ref_duplicate_values_masked_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2332704Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2332902Z   test_ref_duplicate_values_masked_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2333096Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2333294Z   test_ref_duplicate_values_masked_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2333495Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2333695Z   test_ref_duplicate_values_masked_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2333898Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2334094Z   test_ref_duplicate_values_masked_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2334293Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2334495Z   test_ref_duplicate_values_masked_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2334687Z Compares op against reference for input tensors with duplicate values ... ok (0.007s)
2022-11-23T03:06:45.2334889Z   test_ref_duplicate_values_masked_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2335090Z Compares op against reference for input tensors with duplicate values ... ok (0.007s)
2022-11-23T03:06:45.2335318Z   test_ref_duplicate_values_masked_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2335488Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2335687Z   test_ref_duplicate_values_masked_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2335886Z Compares op against reference for input tensors with duplicate values ... ok (0.007s)
2022-11-23T03:06:45.2336389Z   test_ref_duplicate_values_masked_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2336603Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2336802Z   test_ref_duplicate_values_masked_std_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2336980Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2337332Z   test_ref_duplicate_values_masked_std_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2337576Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2337730Z   test_ref_duplicate_values_masked_std_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2337954Z Compares op against reference for input tensors with duplicate values ... ok (0.007s)
2022-11-23T03:06:45.2338131Z   test_ref_duplicate_values_masked_std_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2338323Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2338516Z   test_ref_duplicate_values_masked_std_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2338713Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2338906Z   test_ref_duplicate_values_masked_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2339110Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2339319Z   test_ref_duplicate_values_masked_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2339521Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2339801Z   test_ref_duplicate_values_masked_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2340015Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2340204Z   test_ref_duplicate_values_masked_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2340405Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2340602Z   test_ref_duplicate_values_masked_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2340800Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2341005Z   test_ref_duplicate_values_masked_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2341206Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2341398Z   test_ref_duplicate_values_masked_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2341601Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2341786Z   test_ref_duplicate_values_masked_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2341988Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2342183Z   test_ref_duplicate_values_masked_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2342384Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2342583Z   test_ref_duplicate_values_masked_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2342785Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2342983Z   test_ref_duplicate_values_masked_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2343189Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2343385Z   test_ref_duplicate_values_masked_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2343590Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2343809Z   test_ref_duplicate_values_masked_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2344023Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2344233Z   test_ref_duplicate_values_masked_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2344445Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2344727Z   test_ref_duplicate_values_masked_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2344942Z Compares op against reference for input tensors with duplicate values ... ok (0.007s)
2022-11-23T03:06:45.2345131Z   test_ref_duplicate_values_masked_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2345343Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2345553Z   test_ref_duplicate_values_masked_var_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2345767Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2345975Z   test_ref_duplicate_values_masked_var_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2346188Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2346394Z   test_ref_duplicate_values_masked_var_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2346606Z Compares op against reference for input tensors with duplicate values ... ok (0.007s)
2022-11-23T03:06:45.2346816Z   test_ref_duplicate_values_masked_var_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2347006Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2347209Z   test_ref_duplicate_values_masked_var_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2347480Z Compares op against reference for input tensors with duplicate values ... ok (0.006s)
2022-11-23T03:06:45.2347699Z   test_ref_duplicate_values_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2347912Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2348117Z   test_ref_duplicate_values_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2348393Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2348599Z   test_ref_duplicate_values_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2348791Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2348991Z   test_ref_duplicate_values_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2349209Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2349412Z   test_ref_duplicate_values_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2349638Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2349849Z   test_ref_duplicate_values_nanmean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2350095Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2350304Z   test_ref_duplicate_values_nanmean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2350496Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2350704Z   test_ref_duplicate_values_nanmean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2350918Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2351123Z   test_ref_duplicate_values_nansum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2351338Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2351542Z   test_ref_duplicate_values_nansum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2351756Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2351960Z   test_ref_duplicate_values_nansum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2352150Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2352362Z   test_ref_duplicate_values_nansum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2352712Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2352913Z   test_ref_duplicate_values_nansum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2353128Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2353329Z   test_ref_duplicate_values_nansum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2353542Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2353742Z   test_ref_duplicate_values_nansum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2353958Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2354141Z   test_ref_duplicate_values_nansum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2354365Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2354579Z   test_ref_duplicate_values_nansum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2354795Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2355001Z   test_ref_duplicate_values_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2355218Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2355488Z   test_ref_duplicate_values_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2355714Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2355900Z   test_ref_duplicate_values_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2356136Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2356339Z   test_ref_duplicate_values_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2356581Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2356787Z   test_ref_duplicate_values_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2356999Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2357202Z   test_ref_duplicate_values_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2357420Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2357600Z   test_ref_duplicate_values_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2357818Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2358022Z   test_ref_duplicate_values_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2358240Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2358445Z   test_ref_duplicate_values_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2358664Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2358864Z   test_ref_duplicate_values_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2359082Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2359264Z   test_ref_duplicate_values_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2359501Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2359708Z   test_ref_duplicate_values_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2359951Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2360161Z   test_ref_duplicate_values_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2360399Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2360682Z   test_ref_duplicate_values_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2360919Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2361115Z   test_ref_duplicate_values_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2361327Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2361535Z   test_ref_duplicate_values_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2361770Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2361972Z   test_ref_duplicate_values_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2362192Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2362402Z   test_ref_duplicate_values_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2362621Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2362824Z   test_ref_duplicate_values_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2363019Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2363306Z   test_ref_duplicate_values_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2363553Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2363752Z   test_ref_duplicate_values_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2363964Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2364160Z   test_ref_duplicate_values_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2364377Z Compares op against reference for input tensors with duplicate values ... ok (0.005s)
2022-11-23T03:06:45.2364581Z   test_ref_duplicate_values_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2364772Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2364967Z   test_ref_duplicate_values_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2365185Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2365382Z   test_ref_duplicate_values_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2365593Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2365792Z   test_ref_duplicate_values_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2366008Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2366207Z   test_ref_duplicate_values_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2366399Z Compares op against reference for input tensors with duplicate values ... ok (0.004s)
2022-11-23T03:06:45.2366614Z   test_ref_duplicate_values_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2366853Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2367068Z   test_ref_duplicate_values_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2367386Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2367593Z   test_ref_duplicate_values_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2367829Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2368024Z   test_ref_duplicate_values_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2368229Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2368514Z   test_ref_duplicate_values_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2368749Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2368950Z   test_ref_extremal_values_all_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2369168Z Compares op against reference for input tensors with extremal values ... ok (0.004s)
2022-11-23T03:06:45.2369370Z   test_ref_extremal_values_all_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2369590Z Compares op against reference for input tensors with extremal values ... ok (0.004s)
2022-11-23T03:06:45.2369786Z   test_ref_extremal_values_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2369998Z Compares op against reference for input tensors with extremal values ... ok (0.005s)
2022-11-23T03:06:45.2370177Z   test_ref_extremal_values_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2370385Z Compares op against reference for input tensors with extremal values ... ok (0.004s)
2022-11-23T03:06:45.2370594Z   test_ref_extremal_values_any_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2370805Z Compares op against reference for input tensors with extremal values ... ok (0.004s)
2022-11-23T03:06:45.2371003Z   test_ref_extremal_values_any_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2371273Z Compares op against reference for input tensors with extremal values ... ok (0.004s)
2022-11-23T03:06:45.2371485Z   test_ref_extremal_values_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2371693Z Compares op against reference for input tensors with extremal values ... ok (0.004s)
2022-11-23T03:06:45.2371876Z   test_ref_extremal_values_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2372087Z Compares op against reference for input tensors with extremal values ... ok (0.004s)
2022-11-23T03:06:45.2372305Z   test_ref_extremal_values_count_nonzero_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2372521Z Compares op against reference for input tensors with extremal values ... ok (0.004s)
2022-11-23T03:06:45.2372734Z   test_ref_extremal_values_count_nonzero_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2372941Z Compares op against reference for input tensors with extremal values ... ok (0.004s)
2022-11-23T03:06:45.2373151Z   test_ref_extremal_values_masked_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2373367Z Compares op against reference for input tensors with extremal values ... ok (0.006s)
2022-11-23T03:06:45.2373557Z   test_ref_extremal_values_masked_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2373770Z Compares op against reference for input tensors with extremal values ... ok (0.004s)
2022-11-23T03:06:45.2373983Z   test_ref_extremal_values_masked_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2374192Z Compares op against reference for input tensors with extremal values ... ok (0.005s)
2022-11-23T03:06:45.2374410Z   test_ref_extremal_values_masked_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2374620Z Compares op against reference for input tensors with extremal values ... ok (0.005s)
2022-11-23T03:06:45.2374827Z   test_ref_extremal_values_masked_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2375552Z Compares op against reference for input tensors with extremal values ... /opt/conda/lib/python3.10/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in true_divide
2022-11-23T03:06:45.2375696Z   ret = ret.dtype.type(ret / rcount)
2022-11-23T03:06:45.2375779Z ok (0.006s)
2022-11-23T03:06:45.2375988Z   test_ref_extremal_values_masked_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2376757Z Compares op against reference for input tensors with extremal values ... ok (0.007s)
2022-11-23T03:06:45.2377020Z   test_ref_extremal_values_masked_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2377424Z Compares op against reference for input tensors with extremal values ... ok (0.005s)
2022-11-23T03:06:45.2377634Z   test_ref_extremal_values_masked_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2377847Z Compares op against reference for input tensors with extremal values ... ok (0.004s)
2022-11-23T03:06:45.2378043Z   test_ref_extremal_values_masked_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2378604Z Compares op against reference for input tensors with extremal values ... /opt/conda/lib/python3.10/site-packages/numpy/core/_methods.py:222: RuntimeWarning: invalid value encountered in true_divide
2022-11-23T03:06:45.2378875Z   arrmean = um.true_divide(arrmean, div, out=arrmean, casting='unsafe',
2022-11-23T03:06:45.2379262Z /opt/conda/lib/python3.10/site-packages/numpy/core/_methods.py:230: RuntimeWarning: invalid value encountered in subtract
2022-11-23T03:06:45.2379437Z   x = asanyarray(arr - arrmean)
2022-11-23T03:06:45.2379541Z ok (0.007s)
2022-11-23T03:06:45.2379757Z   test_ref_extremal_values_masked_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2379976Z Compares op against reference for input tensors with extremal values ... ok (0.008s)
2022-11-23T03:06:45.2380191Z   test_ref_extremal_values_masked_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2380495Z Compares op against reference for input tensors with extremal values ... ok (0.005s)
2022-11-23T03:06:45.2380719Z   test_ref_extremal_values_masked_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2380931Z Compares op against reference for input tensors with extremal values ... ok (0.004s)
2022-11-23T03:06:45.2381141Z   test_ref_extremal_values_masked_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2381348Z Compares op against reference for input tensors with extremal values ... ok (0.007s)
2022-11-23T03:06:45.2381557Z   test_ref_extremal_values_masked_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2381774Z Compares op against reference for input tensors with extremal values ... ok (0.007s)
2022-11-23T03:06:45.2381979Z   test_ref_extremal_values_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2382191Z Compares op against reference for input tensors with extremal values ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2382394Z   test_ref_extremal_values_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2382605Z Compares op against reference for input tensors with extremal values ... ok (0.004s)
2022-11-23T03:06:45.2382808Z   test_ref_extremal_values_nanmean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2383025Z Compares op against reference for input tensors with extremal values ... ok (0.005s)
2022-11-23T03:06:45.2383227Z   test_ref_extremal_values_nansum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2383438Z Compares op against reference for input tensors with extremal values ... ok (0.004s)
2022-11-23T03:06:45.2383646Z   test_ref_extremal_values_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2383838Z Compares op against reference for input tensors with extremal values ... ok (0.004s)
2022-11-23T03:06:45.2384038Z   test_ref_extremal_values_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2384245Z Compares op against reference for input tensors with extremal values ... ok (0.004s)
2022-11-23T03:06:45.2384449Z   test_ref_extremal_values_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2384660Z Compares op against reference for input tensors with extremal values ... ok (0.007s)
2022-11-23T03:06:45.2384857Z   test_ref_extremal_values_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2385066Z Compares op against reference for input tensors with extremal values ... ok (0.006s)
2022-11-23T03:06:45.2385271Z   test_ref_extremal_values_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2385456Z Compares op against reference for input tensors with extremal values ... ok (0.005s)
2022-11-23T03:06:45.2385727Z   test_ref_extremal_values_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2385938Z Compares op against reference for input tensors with extremal values ... ok (0.004s)
2022-11-23T03:06:45.2386142Z   test_ref_extremal_values_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2386359Z Compares op against reference for input tensors with extremal values ... ok (0.006s)
2022-11-23T03:06:45.2386555Z   test_ref_extremal_values_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2386766Z Compares op against reference for input tensors with extremal values ... ok (0.006s)
2022-11-23T03:06:45.2386962Z   test_ref_large_input_1D_all_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2387164Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.006s)
2022-11-23T03:06:45.2387360Z   test_ref_large_input_1D_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2387588Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.006s)
2022-11-23T03:06:45.2387784Z   test_ref_large_input_1D_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2388007Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.005s)
2022-11-23T03:06:45.2388256Z   test_ref_large_input_1D_any_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2388486Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.006s)
2022-11-23T03:06:45.2388686Z   test_ref_large_input_1D_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2388905Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.007s)
2022-11-23T03:06:45.2389076Z   test_ref_large_input_1D_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2389292Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.010s)
2022-11-23T03:06:45.2389505Z   test_ref_large_input_1D_count_nonzero_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2389724Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.009s)
2022-11-23T03:06:45.2389927Z   test_ref_large_input_1D_masked_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2390153Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.005s)
2022-11-23T03:06:45.2390358Z   test_ref_large_input_1D_masked_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2390575Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.006s)
2022-11-23T03:06:45.2390769Z   test_ref_large_input_1D_masked_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2390993Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.006s)
2022-11-23T03:06:45.2391201Z   test_ref_large_input_1D_masked_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2391425Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.006s)
2022-11-23T03:06:45.2391627Z   test_ref_large_input_1D_masked_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2391843Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.012s)
2022-11-23T03:06:45.2392057Z   test_ref_large_input_1D_masked_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2392278Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.013s)
2022-11-23T03:06:45.2392464Z   test_ref_large_input_1D_masked_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2392687Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.012s)
2022-11-23T03:06:45.2392890Z   test_ref_large_input_1D_masked_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2393109Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.006s)
2022-11-23T03:06:45.2393392Z   test_ref_large_input_1D_masked_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2393613Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.010s)
2022-11-23T03:06:45.2393810Z   test_ref_large_input_1D_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2394031Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.006s)
2022-11-23T03:06:45.2394210Z   test_ref_large_input_1D_nanmean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2394427Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.011s)
2022-11-23T03:06:45.2394624Z   test_ref_large_input_1D_nansum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2394839Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.009s)
2022-11-23T03:06:45.2395041Z   test_ref_large_input_1D_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2395263Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.013s)
2022-11-23T03:06:45.2395456Z   test_ref_large_input_1D_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2395671Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.028s)
2022-11-23T03:06:45.2395920Z   test_ref_large_input_1D_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2396121Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.006s)
2022-11-23T03:06:45.2396315Z   test_ref_large_input_1D_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2396530Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.022s)
2022-11-23T03:06:45.2396722Z   test_ref_large_input_2D_all_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2396953Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.009s)
2022-11-23T03:06:45.2397155Z   test_ref_large_input_2D_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2397384Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.008s)
2022-11-23T03:06:45.2397586Z   test_ref_large_input_2D_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2397796Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.020s)
2022-11-23T03:06:45.2397991Z   test_ref_large_input_2D_any_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2398215Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.009s)
2022-11-23T03:06:45.2398415Z   test_ref_large_input_2D_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2398641Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.010s)
2022-11-23T03:06:45.2398841Z   test_ref_large_input_2D_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2399068Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.020s)
2022-11-23T03:06:45.2399281Z   test_ref_large_input_2D_count_nonzero_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2399483Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.012s)
2022-11-23T03:06:45.2399700Z   test_ref_large_input_2D_masked_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2399928Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.009s)
2022-11-23T03:06:45.2400134Z   test_ref_large_input_2D_masked_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2400364Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.009s)
2022-11-23T03:06:45.2400577Z   test_ref_large_input_2D_masked_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2400802Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.025s)
2022-11-23T03:06:45.2401088Z   test_ref_large_input_2D_masked_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2401310Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.020s)
2022-11-23T03:06:45.2401497Z   test_ref_large_input_2D_masked_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2401723Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.009s)
2022-11-23T03:06:45.2401997Z   test_ref_large_input_2D_masked_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2402227Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.010s)
2022-11-23T03:06:45.2402431Z   test_ref_large_input_2D_masked_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2402655Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.018s)
2022-11-23T03:06:45.2402858Z   test_ref_large_input_2D_masked_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2403089Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.008s)
2022-11-23T03:06:45.2403278Z   test_ref_large_input_2D_masked_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2403500Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.031s)
2022-11-23T03:06:45.2403756Z   test_ref_large_input_2D_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2403988Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.008s)
2022-11-23T03:06:45.2404193Z   test_ref_large_input_2D_nanmean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2404412Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.019s)
2022-11-23T03:06:45.2404620Z   test_ref_large_input_2D_nansum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2404836Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.027s)
2022-11-23T03:06:45.2405017Z   test_ref_large_input_2D_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2405242Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.009s)
2022-11-23T03:06:45.2405438Z   test_ref_large_input_2D_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2405671Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.055s)
2022-11-23T03:06:45.2405869Z   test_ref_large_input_2D_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2406093Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.020s)
2022-11-23T03:06:45.2406287Z   test_ref_large_input_2D_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2406509Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.054s)
2022-11-23T03:06:45.2406724Z   test_ref_large_input_64bit_indexing_all_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2406999Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.253s)
2022-11-23T03:06:45.2407217Z   test_ref_large_input_64bit_indexing_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2407508Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.175s)
2022-11-23T03:06:45.2407726Z   test_ref_large_input_64bit_indexing_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2408009Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.176s)
2022-11-23T03:06:45.2408224Z   test_ref_large_input_64bit_indexing_any_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2408506Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.176s)
2022-11-23T03:06:45.2408817Z   test_ref_large_input_64bit_indexing_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2409101Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.175s)
2022-11-23T03:06:45.2409303Z   test_ref_large_input_64bit_indexing_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2409584Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.176s)
2022-11-23T03:06:45.2409815Z   test_ref_large_input_64bit_indexing_count_nonzero_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2410095Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.175s)
2022-11-23T03:06:45.2410323Z   test_ref_large_input_64bit_indexing_masked_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2410611Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.175s)
2022-11-23T03:06:45.2410837Z   test_ref_large_input_64bit_indexing_masked_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2411179Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.176s)
2022-11-23T03:06:45.2411420Z   test_ref_large_input_64bit_indexing_masked_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2411674Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.175s)
2022-11-23T03:06:45.2411905Z   test_ref_large_input_64bit_indexing_masked_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2412175Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.176s)
2022-11-23T03:06:45.2412407Z   test_ref_large_input_64bit_indexing_masked_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2412692Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.176s)
2022-11-23T03:06:45.2412917Z   test_ref_large_input_64bit_indexing_masked_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2413196Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.175s)
2022-11-23T03:06:45.2413426Z   test_ref_large_input_64bit_indexing_masked_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2413713Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.176s)
2022-11-23T03:06:45.2413939Z   test_ref_large_input_64bit_indexing_masked_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2414195Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.176s)
2022-11-23T03:06:45.2414421Z   test_ref_large_input_64bit_indexing_masked_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2414703Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.176s)
2022-11-23T03:06:45.2414919Z   test_ref_large_input_64bit_indexing_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2415196Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.177s)
2022-11-23T03:06:45.2415419Z   test_ref_large_input_64bit_indexing_nanmean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2415701Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.176s)
2022-11-23T03:06:45.2415919Z   test_ref_large_input_64bit_indexing_nansum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2416880Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.175s)
2022-11-23T03:06:45.2417099Z   test_ref_large_input_64bit_indexing_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2417364Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.176s)
2022-11-23T03:06:45.2417619Z   test_ref_large_input_64bit_indexing_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2417900Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.176s)
2022-11-23T03:06:45.2418074Z   test_ref_large_input_64bit_indexing_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2418351Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.176s)
2022-11-23T03:06:45.2418572Z   test_ref_large_input_64bit_indexing_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2418851Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... skip: Insufficient cuda:0 memory (0.176s)
2022-11-23T03:06:45.2419195Z   test_ref_scalar_input_all_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2419388Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2419592Z   test_ref_scalar_input_all_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2419787Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2419990Z   test_ref_scalar_input_all_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2420182Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2420373Z   test_ref_scalar_input_all_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2420569Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2420759Z   test_ref_scalar_input_all_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2420929Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2421122Z   test_ref_scalar_input_all_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2421315Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2421508Z   test_ref_scalar_input_all_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2421697Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2421889Z   test_ref_scalar_input_all_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2422076Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2422268Z   test_ref_scalar_input_all_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2422443Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2422635Z   test_ref_scalar_input_all_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2422830Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2423021Z   test_ref_scalar_input_all_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2423213Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2423405Z   test_ref_scalar_input_amax_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2423594Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2423768Z   test_ref_scalar_input_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2423962Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2424162Z   test_ref_scalar_input_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2424356Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2424658Z   test_ref_scalar_input_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2424850Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2425049Z   test_ref_scalar_input_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2425243Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2425415Z   test_ref_scalar_input_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2425605Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2425795Z   test_ref_scalar_input_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2425984Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2426178Z   test_ref_scalar_input_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2426368Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2426563Z   test_ref_scalar_input_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2426759Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2426931Z   test_ref_scalar_input_amin_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2427122Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2427379Z   test_ref_scalar_input_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2427583Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2427781Z   test_ref_scalar_input_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2427974Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2428174Z   test_ref_scalar_input_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2428366Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2428540Z   test_ref_scalar_input_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2428728Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2428919Z   test_ref_scalar_input_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2429105Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2429302Z   test_ref_scalar_input_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2429496Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2429686Z   test_ref_scalar_input_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2429876Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2430045Z   test_ref_scalar_input_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2430232Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2430425Z   test_ref_scalar_input_any_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2430619Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2430819Z   test_ref_scalar_input_any_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2431009Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2431213Z   test_ref_scalar_input_any_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2431400Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2431571Z   test_ref_scalar_input_any_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2431764Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2431960Z   test_ref_scalar_input_any_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2432147Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2432333Z   test_ref_scalar_input_any_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2432601Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2432804Z   test_ref_scalar_input_any_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2433099Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2433443Z   test_ref_scalar_input_any_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2433770Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2434089Z   test_ref_scalar_input_any_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2434286Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2434478Z   test_ref_scalar_input_any_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2434667Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2434863Z   test_ref_scalar_input_any_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2435036Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2435236Z   test_ref_scalar_input_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2435425Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2435622Z   test_ref_scalar_input_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2435945Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2436153Z   test_ref_scalar_input_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2436343Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2436537Z   test_ref_scalar_input_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2436706Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2436900Z   test_ref_scalar_input_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2437098Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2437289Z   test_ref_scalar_input_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2437478Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2437670Z   test_ref_scalar_input_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2437861Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2438060Z   test_ref_scalar_input_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2438230Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2438429Z   test_ref_scalar_input_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2438617Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2438821Z   test_ref_scalar_input_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2439018Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2439216Z   test_ref_scalar_input_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2439408Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2439608Z   test_ref_scalar_input_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2439778Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2439972Z   test_ref_scalar_input_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2440168Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2440365Z   test_ref_scalar_input_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2440555Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2440744Z   test_ref_scalar_input_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2440939Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2441205Z   test_ref_scalar_input_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2441374Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2441581Z   test_ref_scalar_input_count_nonzero_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2441774Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2441992Z   test_ref_scalar_input_count_nonzero_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2442183Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2442396Z   test_ref_scalar_input_count_nonzero_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2442585Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2442798Z   test_ref_scalar_input_count_nonzero_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2442971Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2443181Z   test_ref_scalar_input_count_nonzero_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2443368Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2443575Z   test_ref_scalar_input_count_nonzero_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2443822Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2444038Z   test_ref_scalar_input_count_nonzero_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2444228Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2444580Z   test_ref_scalar_input_count_nonzero_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2444879Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2445213Z   test_ref_scalar_input_count_nonzero_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2445522Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2445900Z   test_ref_scalar_input_count_nonzero_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2446202Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2446495Z   test_ref_scalar_input_count_nonzero_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2446697Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2446906Z   test_ref_scalar_input_masked_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2447080Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2447286Z   test_ref_scalar_input_masked_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2447475Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2447672Z   test_ref_scalar_input_masked_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2447864Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2448070Z   test_ref_scalar_input_masked_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2448261Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2448467Z   test_ref_scalar_input_masked_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2448638Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2448840Z   test_ref_scalar_input_masked_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2449028Z Compares op against reference for scalar input tensors ... ok (0.004s)
2022-11-23T03:06:45.2449232Z   test_ref_scalar_input_masked_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2449422Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2449623Z   test_ref_scalar_input_masked_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2449944Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2450151Z   test_ref_scalar_input_masked_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2450321Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2450526Z   test_ref_scalar_input_masked_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2450718Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2450918Z   test_ref_scalar_input_masked_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2451108Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2451308Z   test_ref_scalar_input_masked_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2451501Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2451709Z   test_ref_scalar_input_masked_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2451883Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2452087Z   test_ref_scalar_input_masked_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2452275Z Compares op against reference for scalar input tensors ... ok (0.004s)
2022-11-23T03:06:45.2452536Z   test_ref_scalar_input_masked_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2452737Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2452939Z   test_ref_scalar_input_masked_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2453131Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2453322Z   test_ref_scalar_input_masked_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2453509Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2453714Z   test_ref_scalar_input_masked_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2453906Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2454113Z   test_ref_scalar_input_masked_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2454306Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2454519Z   test_ref_scalar_input_masked_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2454711Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2454889Z   test_ref_scalar_input_masked_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2455080Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2455311Z   test_ref_scalar_input_masked_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2455509Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2455714Z   test_ref_scalar_input_masked_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2455909Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2456411Z   test_ref_scalar_input_masked_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2456678Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2456789Z   test_ref_scalar_input_masked_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2456983Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2457287Z   test_ref_scalar_input_masked_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2457394Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2457582Z   test_ref_scalar_input_masked_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2457771Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2458101Z   test_ref_scalar_input_masked_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2458296Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2458480Z   test_ref_scalar_input_masked_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2458671Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2458872Z   test_ref_scalar_input_masked_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2459064Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2459269Z   test_ref_scalar_input_masked_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2459466Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2459755Z   test_ref_scalar_input_masked_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2459944Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2460131Z   test_ref_scalar_input_masked_mean_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2460321Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2460530Z   test_ref_scalar_input_masked_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2460726Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2461016Z   test_ref_scalar_input_masked_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2461219Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2461421Z   test_ref_scalar_input_masked_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2461613Z Compares op against reference for scalar input tensors ... ok (0.004s)
2022-11-23T03:06:45.2461797Z   test_ref_scalar_input_masked_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2461988Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2462190Z   test_ref_scalar_input_masked_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2462384Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2462589Z   test_ref_scalar_input_masked_mean_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2462784Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2462986Z   test_ref_scalar_input_masked_mean_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2463180Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2463363Z   test_ref_scalar_input_masked_mean_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2463559Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2463757Z   test_ref_scalar_input_masked_mean_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2463948Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2464158Z   test_ref_scalar_input_masked_mean_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2464350Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2464555Z   test_ref_scalar_input_masked_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2464746Z Compares op against reference for scalar input tensors ... ok (0.004s)
2022-11-23T03:06:45.2464939Z   test_ref_scalar_input_masked_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2465135Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2465347Z   test_ref_scalar_input_masked_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2465540Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2465745Z   test_ref_scalar_input_masked_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2465935Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2466204Z   test_ref_scalar_input_masked_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2466390Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2466574Z   test_ref_scalar_input_masked_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2466774Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2466983Z   test_ref_scalar_input_masked_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2467223Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2467452Z   test_ref_scalar_input_masked_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2467629Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2467831Z   test_ref_scalar_input_masked_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2468027Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2468214Z   test_ref_scalar_input_masked_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2468406Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2468610Z   test_ref_scalar_input_masked_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2468852Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2469072Z   test_ref_scalar_input_masked_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2469269Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2469479Z   test_ref_scalar_input_masked_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2469672Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2469860Z   test_ref_scalar_input_masked_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2470050Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2470257Z   test_ref_scalar_input_masked_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2470446Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2470655Z   test_ref_scalar_input_masked_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2470850Z Compares op against reference for scalar input tensors ... ok (0.004s)
2022-11-23T03:06:45.2471051Z   test_ref_scalar_input_masked_std_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2471242Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2471419Z   test_ref_scalar_input_masked_std_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2471610Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2471813Z   test_ref_scalar_input_masked_std_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2472004Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2472211Z   test_ref_scalar_input_masked_std_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2472405Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2472605Z   test_ref_scalar_input_masked_std_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2472800Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2472980Z   test_ref_scalar_input_masked_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2473169Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2473383Z   test_ref_scalar_input_masked_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2473579Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2473788Z   test_ref_scalar_input_masked_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2474047Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2474254Z   test_ref_scalar_input_masked_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2474445Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2474626Z   test_ref_scalar_input_masked_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2474823Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2475030Z   test_ref_scalar_input_masked_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2475222Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2475422Z   test_ref_scalar_input_masked_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2475611Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2475813Z   test_ref_scalar_input_masked_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2476006Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2476183Z   test_ref_scalar_input_masked_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2476374Z Compares op against reference for scalar input tensors ... ok (0.004s)
2022-11-23T03:06:45.2476576Z   test_ref_scalar_input_masked_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2476894Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2477107Z   test_ref_scalar_input_masked_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2477298Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2477510Z   test_ref_scalar_input_masked_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2477706Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2477894Z   test_ref_scalar_input_masked_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2478089Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2478294Z   test_ref_scalar_input_masked_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2478487Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2478695Z   test_ref_scalar_input_masked_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2478892Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2479096Z   test_ref_scalar_input_masked_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2479285Z Compares op against reference for scalar input tensors ... ok (0.004s)
2022-11-23T03:06:45.2479467Z   test_ref_scalar_input_masked_var_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2479658Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2479853Z   test_ref_scalar_input_masked_var_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2480054Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2480251Z   test_ref_scalar_input_masked_var_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2480440Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2480647Z   test_ref_scalar_input_masked_var_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2480840Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2481052Z   test_ref_scalar_input_masked_var_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2481302Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2481503Z   test_ref_scalar_input_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2481690Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2481887Z   test_ref_scalar_input_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2482155Z Compares op against reference for scalar input tensors ... ok (0.004s)
2022-11-23T03:06:45.2482352Z   test_ref_scalar_input_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2482542Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2482716Z   test_ref_scalar_input_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2482913Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2483108Z   test_ref_scalar_input_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2483297Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2483495Z   test_ref_scalar_input_nanmean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2483691Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2483890Z   test_ref_scalar_input_nanmean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2484061Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2484264Z   test_ref_scalar_input_nanmean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2484461Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2484656Z   test_ref_scalar_input_nansum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2484911Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2485120Z   test_ref_scalar_input_nansum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2485312Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2485512Z   test_ref_scalar_input_nansum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2485678Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2485877Z   test_ref_scalar_input_nansum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2486074Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2486269Z   test_ref_scalar_input_nansum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2486462Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2486664Z   test_ref_scalar_input_nansum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2486862Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2487063Z   test_ref_scalar_input_nansum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2487233Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2487433Z   test_ref_scalar_input_nansum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2487623Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2487826Z   test_ref_scalar_input_nansum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2488022Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2488226Z   test_ref_scalar_input_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2488417Z Compares op against reference for scalar input tensors ... ok (0.004s)
2022-11-23T03:06:45.2488620Z   test_ref_scalar_input_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2488793Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2488996Z   test_ref_scalar_input_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2489186Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2489382Z   test_ref_scalar_input_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2489577Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2489774Z   test_ref_scalar_input_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2489965Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2490250Z   test_ref_scalar_input_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2490417Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2490615Z   test_ref_scalar_input_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2490807Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2491002Z   test_ref_scalar_input_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2491198Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2491389Z   test_ref_scalar_input_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2491580Z Compares op against reference for scalar input tensors ... ok (0.004s)
2022-11-23T03:06:45.2491779Z   test_ref_scalar_input_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2491944Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2492148Z   test_ref_scalar_input_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2492342Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2492545Z   test_ref_scalar_input_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2493313Z Compares op against reference for scalar input tensors ... /opt/conda/lib/python3.10/site-packages/numpy/core/_methods.py:262: RuntimeWarning: Degrees of freedom <= 0 for slice
2022-11-23T03:06:45.2493501Z   ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
2022-11-23T03:06:45.2493913Z /opt/conda/lib/python3.10/site-packages/numpy/core/_methods.py:254: RuntimeWarning: invalid value encountered in double_scalars
2022-11-23T03:06:45.2494056Z   ret = ret.dtype.type(ret / rcount)
2022-11-23T03:06:45.2494138Z ok (0.003s)
2022-11-23T03:06:45.2494342Z   test_ref_scalar_input_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2494854Z Compares op against reference for scalar input tensors ... /opt/conda/lib/python3.10/site-packages/numpy/core/_methods.py:254: RuntimeWarning: invalid value encountered in true_divide
2022-11-23T03:06:45.2494997Z   ret = ret.dtype.type(ret / rcount)
2022-11-23T03:06:45.2495105Z ok (0.003s)
2022-11-23T03:06:45.2495298Z   test_ref_scalar_input_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2495497Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2495690Z   test_ref_scalar_input_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2495863Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2496396Z   test_ref_scalar_input_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2496608Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2496799Z   test_ref_scalar_input_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2496989Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2497197Z   test_ref_scalar_input_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2497390Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2497590Z   test_ref_scalar_input_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2497764Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2497958Z   test_ref_scalar_input_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2498154Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2498349Z   test_ref_scalar_input_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2498539Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2498727Z   test_ref_scalar_input_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2498913Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2499270Z   test_ref_scalar_input_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2499442Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2499636Z   test_ref_scalar_input_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2499828Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2500021Z   test_ref_scalar_input_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2500211Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2500405Z   test_ref_scalar_input_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2500593Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2500763Z   test_ref_scalar_input_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2500957Z Compares op against reference for scalar input tensors ... ok (0.002s)
2022-11-23T03:06:45.2501160Z   test_ref_scalar_input_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2501702Z Compares op against reference for scalar input tensors ... /opt/conda/lib/python3.10/site-packages/numpy/core/fromnumeric.py:3723: RuntimeWarning: Degrees of freedom <= 0 for slice
2022-11-23T03:06:45.2501893Z   return _methods._var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
2022-11-23T03:06:45.2502072Z ok (0.003s)
2022-11-23T03:06:45.2502288Z   test_ref_scalar_input_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2502482Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2502651Z   test_ref_scalar_input_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2502841Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2503033Z   test_ref_scalar_input_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2503224Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2503414Z   test_ref_scalar_input_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2503603Z Compares op against reference for scalar input tensors ... ok (0.003s)
2022-11-23T03:06:45.2503792Z   test_ref_small_input_all_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2503984Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2504163Z   test_ref_small_input_all_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2504358Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2504553Z   test_ref_small_input_all_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2504745Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2504935Z   test_ref_small_input_all_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2505122Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2505312Z   test_ref_small_input_all_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2505496Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2505657Z   test_ref_small_input_all_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2505839Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2506029Z   test_ref_small_input_all_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2506221Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2506410Z   test_ref_small_input_all_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2506598Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2506784Z   test_ref_small_input_all_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2506970Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2507136Z   test_ref_small_input_all_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2507414Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2507607Z   test_ref_small_input_all_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2507800Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2507994Z   test_ref_small_input_amax_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2508189Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2508383Z   test_ref_small_input_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2508577Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2508745Z   test_ref_small_input_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2508933Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2509124Z   test_ref_small_input_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2509320Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2509512Z   test_ref_small_input_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2509698Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2509886Z   test_ref_small_input_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2510110Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2510307Z   test_ref_small_input_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2510493Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2510682Z   test_ref_small_input_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2510871Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2511064Z   test_ref_small_input_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2511254Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2511447Z   test_ref_small_input_amin_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2511614Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2511806Z   test_ref_small_input_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2511994Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2512188Z   test_ref_small_input_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2512375Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2512564Z   test_ref_small_input_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2512754Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2512945Z   test_ref_small_input_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2513110Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2513305Z   test_ref_small_input_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2513491Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2513682Z   test_ref_small_input_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2513867Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2514065Z   test_ref_small_input_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2514252Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2514444Z   test_ref_small_input_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2514613Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2514805Z   test_ref_small_input_any_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2515002Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2515277Z   test_ref_small_input_any_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2515468Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2515664Z   test_ref_small_input_any_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2515850Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2516045Z   test_ref_small_input_any_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2516214Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2516407Z   test_ref_small_input_any_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2516592Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2516776Z   test_ref_small_input_any_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2516963Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2517150Z   test_ref_small_input_any_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2517345Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2517534Z   test_ref_small_input_any_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2517704Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2517954Z   test_ref_small_input_any_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2518230Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2518356Z   test_ref_small_input_any_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2518540Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2518723Z   test_ref_small_input_any_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2518915Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2519180Z   test_ref_small_input_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2519285Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2519483Z   test_ref_small_input_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2519674Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2519868Z   test_ref_small_input_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2520064Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2520263Z   test_ref_small_input_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2520460Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2520631Z   test_ref_small_input_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2520820Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2521013Z   test_ref_small_input_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2521204Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2521395Z   test_ref_small_input_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2521580Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2521773Z   test_ref_small_input_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2521961Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2522136Z   test_ref_small_input_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2522323Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2522517Z   test_ref_small_input_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2522705Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2522897Z   test_ref_small_input_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2523090Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2523384Z   test_ref_small_input_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2523570Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2523742Z   test_ref_small_input_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2523933Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2524124Z   test_ref_small_input_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2524311Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2524499Z   test_ref_small_input_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2524684Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2524875Z   test_ref_small_input_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2525063Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2525254Z   test_ref_small_input_count_nonzero_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2525446Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2525660Z   test_ref_small_input_count_nonzero_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2525922Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2526145Z   test_ref_small_input_count_nonzero_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2526335Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2526543Z   test_ref_small_input_count_nonzero_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2526734Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2526918Z   test_ref_small_input_count_nonzero_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2527110Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2527317Z   test_ref_small_input_count_nonzero_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2527505Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2527714Z   test_ref_small_input_count_nonzero_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2527908Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2528110Z   test_ref_small_input_count_nonzero_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2528297Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2528477Z   test_ref_small_input_count_nonzero_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2528671Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2528873Z   test_ref_small_input_count_nonzero_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2529063Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2529272Z   test_ref_small_input_count_nonzero_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2529459Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2529661Z   test_ref_small_input_masked_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2529857Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2530037Z   test_ref_small_input_masked_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2530229Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2530430Z   test_ref_small_input_masked_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2530623Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2530820Z   test_ref_small_input_masked_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2531012Z Compares op against reference for small input tensors ... ok (0.007s)
2022-11-23T03:06:45.2531299Z   test_ref_small_input_masked_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2531494Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2531671Z   test_ref_small_input_masked_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2531864Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2532067Z   test_ref_small_input_masked_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2532255Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2532460Z   test_ref_small_input_masked_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2532647Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2532846Z   test_ref_small_input_masked_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2533034Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2533283Z   test_ref_small_input_masked_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2533473Z Compares op against reference for small input tensors ... ok (0.007s)
2022-11-23T03:06:45.2533672Z   test_ref_small_input_masked_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2533999Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2534206Z   test_ref_small_input_masked_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2534394Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2534592Z   test_ref_small_input_masked_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2534781Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2534953Z   test_ref_small_input_masked_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2535147Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2535351Z   test_ref_small_input_masked_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2535543Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2535740Z   test_ref_small_input_masked_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2535936Z Compares op against reference for small input tensors ... ok (0.007s)
2022-11-23T03:06:45.2536463Z   test_ref_small_input_masked_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2536667Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2536869Z   test_ref_small_input_masked_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2537063Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2537246Z   test_ref_small_input_masked_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2537459Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2537652Z   test_ref_small_input_masked_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2537815Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2538017Z   test_ref_small_input_masked_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2538190Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2538398Z   test_ref_small_input_masked_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2538590Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2538799Z   test_ref_small_input_masked_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2538988Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2539189Z   test_ref_small_input_masked_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2539549Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2539755Z   test_ref_small_input_masked_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2539923Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2540132Z   test_ref_small_input_masked_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2540329Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2540540Z   test_ref_small_input_masked_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2540731Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2540930Z   test_ref_small_input_masked_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2541119Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2541324Z   test_ref_small_input_masked_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2541495Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2541701Z   test_ref_small_input_masked_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2541887Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2542094Z   test_ref_small_input_masked_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2542364Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2542579Z   test_ref_small_input_masked_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2542770Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2542969Z   test_ref_small_input_masked_mean_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2543165Z Compares op against reference for small input tensors ... expected failure (0.004s)
2022-11-23T03:06:45.2543384Z   test_ref_small_input_masked_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2543578Z Compares op against reference for small input tensors ... ok (0.189s)
2022-11-23T03:06:45.2543787Z   test_ref_small_input_masked_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2543976Z Compares op against reference for small input tensors ... ok (0.008s)
2022-11-23T03:06:45.2544177Z   test_ref_small_input_masked_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2544367Z Compares op against reference for small input tensors ... ok (0.008s)
2022-11-23T03:06:45.2544568Z   test_ref_small_input_masked_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2544735Z Compares op against reference for small input tensors ... ok (0.008s)
2022-11-23T03:06:45.2544934Z   test_ref_small_input_masked_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2545120Z Compares op against reference for small input tensors ... ok (0.008s)
2022-11-23T03:06:45.2545380Z   test_ref_small_input_masked_mean_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2545577Z Compares op against reference for small input tensors ... ok (0.008s)
2022-11-23T03:06:45.2545781Z   test_ref_small_input_masked_mean_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2545968Z Compares op against reference for small input tensors ... ok (0.008s)
2022-11-23T03:06:45.2546168Z   test_ref_small_input_masked_mean_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2546339Z Compares op against reference for small input tensors ... ok (0.008s)
2022-11-23T03:06:45.2546538Z   test_ref_small_input_masked_mean_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2546731Z Compares op against reference for small input tensors ... ok (0.008s)
2022-11-23T03:06:45.2546936Z   test_ref_small_input_masked_mean_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2547125Z Compares op against reference for small input tensors ... ok (0.008s)
2022-11-23T03:06:45.2547324Z   test_ref_small_input_masked_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2547590Z Compares op against reference for small input tensors ... ok (0.007s)
2022-11-23T03:06:45.2547806Z   test_ref_small_input_masked_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2547974Z Compares op against reference for small input tensors ... ok (0.007s)
2022-11-23T03:06:45.2548185Z   test_ref_small_input_masked_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2548379Z Compares op against reference for small input tensors ... ok (0.007s)
2022-11-23T03:06:45.2548584Z   test_ref_small_input_masked_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2548777Z Compares op against reference for small input tensors ... ok (0.007s)
2022-11-23T03:06:45.2548981Z   test_ref_small_input_masked_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2549169Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2549374Z   test_ref_small_input_masked_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2549543Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2549743Z   test_ref_small_input_masked_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2549956Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2550236Z   test_ref_small_input_masked_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2550454Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2550653Z   test_ref_small_input_masked_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2550844Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2551044Z   test_ref_small_input_masked_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2551235Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2551436Z   test_ref_small_input_masked_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2551629Z Compares op against reference for small input tensors ... ok (0.011s)
2022-11-23T03:06:45.2551837Z   test_ref_small_input_masked_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2552030Z Compares op against reference for small input tensors ... ok (0.010s)
2022-11-23T03:06:45.2552249Z   test_ref_small_input_masked_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2552440Z Compares op against reference for small input tensors ... ok (0.011s)
2022-11-23T03:06:45.2552645Z   test_ref_small_input_masked_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2552812Z Compares op against reference for small input tensors ... ok (0.009s)
2022-11-23T03:06:45.2553011Z   test_ref_small_input_masked_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2553202Z Compares op against reference for small input tensors ... ok (0.010s)
2022-11-23T03:06:45.2553403Z   test_ref_small_input_masked_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2553599Z Compares op against reference for small input tensors ... ok (0.009s)
2022-11-23T03:06:45.2553796Z   test_ref_small_input_masked_std_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2553986Z Compares op against reference for small input tensors ... ok (0.009s)
2022-11-23T03:06:45.2554187Z   test_ref_small_input_masked_std_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2554354Z Compares op against reference for small input tensors ... ok (0.010s)
2022-11-23T03:06:45.2554547Z   test_ref_small_input_masked_std_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2554735Z Compares op against reference for small input tensors ... ok (0.009s)
2022-11-23T03:06:45.2554941Z   test_ref_small_input_masked_std_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2555130Z Compares op against reference for small input tensors ... ok (0.010s)
2022-11-23T03:06:45.2555329Z   test_ref_small_input_masked_std_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2555590Z Compares op against reference for small input tensors ... ok (0.009s)
2022-11-23T03:06:45.2555788Z   test_ref_small_input_masked_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2555957Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2556168Z   test_ref_small_input_masked_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2556361Z Compares op against reference for small input tensors ... ok (0.007s)
2022-11-23T03:06:45.2556569Z   test_ref_small_input_masked_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2556756Z Compares op against reference for small input tensors ... ok (0.007s)
2022-11-23T03:06:45.2556962Z   test_ref_small_input_masked_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2557157Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2557357Z   test_ref_small_input_masked_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2557531Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2557730Z   test_ref_small_input_masked_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2557920Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2558175Z   test_ref_small_input_masked_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2558377Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2558575Z   test_ref_small_input_masked_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2558762Z Compares op against reference for small input tensors ... ok (0.007s)
2022-11-23T03:06:45.2558962Z   test_ref_small_input_masked_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2559129Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2559328Z   test_ref_small_input_masked_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2559519Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2559718Z   test_ref_small_input_masked_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2559903Z Compares op against reference for small input tensors ... ok (0.010s)
2022-11-23T03:06:45.2560112Z   test_ref_small_input_masked_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2560304Z Compares op against reference for small input tensors ... ok (0.011s)
2022-11-23T03:06:45.2560540Z   test_ref_small_input_masked_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2560709Z Compares op against reference for small input tensors ... ok (0.010s)
2022-11-23T03:06:45.2560909Z   test_ref_small_input_masked_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2561100Z Compares op against reference for small input tensors ... ok (0.009s)
2022-11-23T03:06:45.2561303Z   test_ref_small_input_masked_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2561502Z Compares op against reference for small input tensors ... ok (0.009s)
2022-11-23T03:06:45.2561705Z   test_ref_small_input_masked_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2561896Z Compares op against reference for small input tensors ... ok (0.008s)
2022-11-23T03:06:45.2562097Z   test_ref_small_input_masked_var_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2562265Z Compares op against reference for small input tensors ... ok (0.009s)
2022-11-23T03:06:45.2562462Z   test_ref_small_input_masked_var_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2562653Z Compares op against reference for small input tensors ... ok (0.009s)
2022-11-23T03:06:45.2562846Z   test_ref_small_input_masked_var_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2563044Z Compares op against reference for small input tensors ... ok (0.009s)
2022-11-23T03:06:45.2563244Z   test_ref_small_input_masked_var_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2563516Z Compares op against reference for small input tensors ... ok (0.009s)
2022-11-23T03:06:45.2563714Z   test_ref_small_input_masked_var_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2563881Z Compares op against reference for small input tensors ... ok (0.009s)
2022-11-23T03:06:45.2564091Z   test_ref_small_input_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2564281Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2564479Z   test_ref_small_input_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2564670Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2564866Z   test_ref_small_input_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2565082Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2565276Z   test_ref_small_input_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2565451Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2565644Z   test_ref_small_input_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2565832Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2566091Z   test_ref_small_input_nanmean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2566313Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2566511Z   test_ref_small_input_nanmean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2566704Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2566897Z   test_ref_small_input_nanmean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2567067Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2567346Z   test_ref_small_input_nansum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2567541Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2567738Z   test_ref_small_input_nansum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2567950Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2568155Z   test_ref_small_input_nansum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2568342Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2568512Z   test_ref_small_input_nansum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2568708Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2568903Z   test_ref_small_input_nansum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2569095Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2569288Z   test_ref_small_input_nansum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2569484Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2569678Z   test_ref_small_input_nansum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2569875Z Compares op against reference for small input tensors ... ok (0.008s)
2022-11-23T03:06:45.2570043Z   test_ref_small_input_nansum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2570241Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2570429Z   test_ref_small_input_nansum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2570612Z Compares op against reference for small input tensors ... ok (0.009s)
2022-11-23T03:06:45.2570800Z   test_ref_small_input_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2570983Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2571181Z   test_ref_small_input_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2571457Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2571634Z   test_ref_small_input_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2571841Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2572030Z   test_ref_small_input_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2572238Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2572429Z   test_ref_small_input_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2572613Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2572800Z   test_ref_small_input_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2572986Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2573156Z   test_ref_small_input_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2573344Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2573529Z   test_ref_small_input_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2573712Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2573898Z   test_ref_small_input_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2574145Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2574345Z   test_ref_small_input_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2574529Z Compares op against reference for small input tensors ... ok (0.004s)
2022-11-23T03:06:45.2574698Z   test_ref_small_input_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2574884Z Compares op against reference for small input tensors ... ok (0.009s)
2022-11-23T03:06:45.2575079Z   test_ref_small_input_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2575291Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2575488Z   test_ref_small_input_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2575696Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2575883Z   test_ref_small_input_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2576515Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2576665Z   test_ref_small_input_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2576877Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2577062Z   test_ref_small_input_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2577266Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2577452Z   test_ref_small_input_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2577638Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2577840Z   test_ref_small_input_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2578023Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2578196Z   test_ref_small_input_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2578383Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2578566Z   test_ref_small_input_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2578770Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2578953Z   test_ref_small_input_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2579138Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2579321Z   test_ref_small_input_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2579502Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2579817Z   test_ref_small_input_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2580000Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2580181Z   test_ref_small_input_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2580371Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2580554Z   test_ref_small_input_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2580740Z Compares op against reference for small input tensors ... ok (0.006s)
2022-11-23T03:06:45.2580923Z   test_ref_small_input_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2581089Z Compares op against reference for small input tensors ... ok (0.005s)
2022-11-23T03:06:45.2581271Z   test_ref_small_input_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2581455Z Compares op against reference for small input tensors ... ok (0.009s)
2022-11-23T03:06:45.2581653Z   test_ref_small_input_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2581857Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2582051Z   test_ref_small_input_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2582255Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2582519Z   test_ref_small_input_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2582718Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2582905Z   test_ref_small_input_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2583109Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2583292Z   test_ref_small_input_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2583492Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s)
2022-11-23T03:06:45.2583701Z   test_reference_masked_masked_amax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2584111Z Test masked reduction operations on strided-only tensors using ... ok (0.090s)
2022-11-23T03:06:45.2584316Z   test_reference_masked_masked_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2584593Z Test masked reduction operations on strided-only tensors using ... ok (0.087s)
2022-11-23T03:06:45.2584795Z   test_reference_masked_masked_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2585079Z Test masked reduction operations on strided-only tensors using ... ok (0.087s)
2022-11-23T03:06:45.2585282Z   test_reference_masked_masked_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2585569Z Test masked reduction operations on strided-only tensors using ... ok (0.086s)
2022-11-23T03:06:45.2585774Z   test_reference_masked_masked_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2586064Z Test masked reduction operations on strided-only tensors using ... ok (0.061s)
2022-11-23T03:06:45.2586268Z   test_reference_masked_masked_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2586559Z Test masked reduction operations on strided-only tensors using ... ok (0.060s)
2022-11-23T03:06:45.2586744Z   test_reference_masked_masked_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2587031Z Test masked reduction operations on strided-only tensors using ... ok (0.060s)
2022-11-23T03:06:45.2587239Z   test_reference_masked_masked_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2587526Z Test masked reduction operations on strided-only tensors using ... ok (0.060s)
2022-11-23T03:06:45.2587730Z   test_reference_masked_masked_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2588017Z Test masked reduction operations on strided-only tensors using ... ok (0.060s)
2022-11-23T03:06:45.2588227Z   test_reference_masked_masked_amin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2588592Z Test masked reduction operations on strided-only tensors using ... ok (0.090s)
2022-11-23T03:06:45.2588778Z   test_reference_masked_masked_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2589067Z Test masked reduction operations on strided-only tensors using ... ok (0.087s)
2022-11-23T03:06:45.2589280Z   test_reference_masked_masked_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2589568Z Test masked reduction operations on strided-only tensors using ... ok (0.087s)
2022-11-23T03:06:45.2589771Z   test_reference_masked_masked_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2590058Z Test masked reduction operations on strided-only tensors using ... ok (0.086s)
2022-11-23T03:06:45.2590261Z   test_reference_masked_masked_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2590546Z Test masked reduction operations on strided-only tensors using ... ok (0.061s)
2022-11-23T03:06:45.2590730Z   test_reference_masked_masked_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2591020Z Test masked reduction operations on strided-only tensors using ... ok (0.061s)
2022-11-23T03:06:45.2591229Z   test_reference_masked_masked_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2591517Z Test masked reduction operations on strided-only tensors using ... ok (0.060s)
2022-11-23T03:06:45.2591781Z   test_reference_masked_masked_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2592073Z Test masked reduction operations on strided-only tensors using ... ok (0.061s)
2022-11-23T03:06:45.2592282Z   test_reference_masked_masked_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2592572Z Test masked reduction operations on strided-only tensors using ... ok (0.060s)
2022-11-23T03:06:45.2592762Z   test_reference_masked_masked_argmax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2593088Z Test masked reduction operations on strided-only tensors using ... expected failure (0.004s)
2022-11-23T03:06:45.2593309Z   test_reference_masked_masked_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2593636Z Test masked reduction operations on strided-only tensors using ... expected failure (0.004s)
2022-11-23T03:06:45.2593844Z   test_reference_masked_masked_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2594175Z Test masked reduction operations on strided-only tensors using ... expected failure (0.003s)
2022-11-23T03:06:45.2594389Z   test_reference_masked_masked_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2594711Z Test masked reduction operations on strided-only tensors using ... expected failure (0.003s)
2022-11-23T03:06:45.2594898Z   test_reference_masked_masked_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2595219Z Test masked reduction operations on strided-only tensors using ... expected failure (0.004s)
2022-11-23T03:06:45.2595424Z   test_reference_masked_masked_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2595751Z Test masked reduction operations on strided-only tensors using ... expected failure (0.003s)
2022-11-23T03:06:45.2595959Z   test_reference_masked_masked_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2596282Z Test masked reduction operations on strided-only tensors using ... expected failure (0.004s)
2022-11-23T03:06:45.2596500Z   test_reference_masked_masked_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2596817Z Test masked reduction operations on strided-only tensors using ... expected failure (0.004s)
2022-11-23T03:06:45.2597002Z   test_reference_masked_masked_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2597330Z Test masked reduction operations on strided-only tensors using ... expected failure (0.004s)
2022-11-23T03:06:45.2597544Z   test_reference_masked_masked_argmin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2597871Z Test masked reduction operations on strided-only tensors using ... expected failure (0.003s)
2022-11-23T03:06:45.2598174Z   test_reference_masked_masked_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2598503Z Test masked reduction operations on strided-only tensors using ... expected failure (0.005s)
2022-11-23T03:06:45.2598715Z   test_reference_masked_masked_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2599038Z Test masked reduction operations on strided-only tensors using ... expected failure (0.003s)
2022-11-23T03:06:45.2599253Z   test_reference_masked_masked_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2599544Z Test masked reduction operations on strided-only tensors using ... expected failure (0.003s)
2022-11-23T03:06:45.2599752Z   test_reference_masked_masked_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2600068Z Test masked reduction operations on strided-only tensors using ... expected failure (0.004s)
2022-11-23T03:06:45.2600277Z   test_reference_masked_masked_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2600598Z Test masked reduction operations on strided-only tensors using ... expected failure (0.003s)
2022-11-23T03:06:45.2600801Z   test_reference_masked_masked_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2601110Z Test masked reduction operations on strided-only tensors using ... expected failure (0.003s)
2022-11-23T03:06:45.2601380Z   test_reference_masked_masked_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2601676Z Test masked reduction operations on strided-only tensors using ... expected failure (0.003s)
2022-11-23T03:06:45.2601883Z   test_reference_masked_masked_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2602200Z Test masked reduction operations on strided-only tensors using ... expected failure (0.004s)
2022-11-23T03:06:45.2602406Z   test_reference_masked_masked_mean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2602924Z Test masked reduction operations on strided-only tensors using ... /opt/conda/lib/python3.10/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.
2022-11-23T03:06:45.2603094Z   return _methods._mean(a, axis=axis, dtype=dtype,
2022-11-23T03:06:45.2603492Z /opt/conda/lib/python3.10/site-packages/numpy/core/_methods.py:181: RuntimeWarning: invalid value encountered in true_divide
2022-11-23T03:06:45.2603615Z   ret = um.true_divide(
2022-11-23T03:06:45.2603697Z ok (0.112s)
2022-11-23T03:06:45.2603902Z   test_reference_masked_masked_mean_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2604438Z Test masked reduction operations on strided-only tensors using ... /opt/conda/lib/python3.10/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars
2022-11-23T03:06:45.2604580Z   ret = ret.dtype.type(ret / rcount)
2022-11-23T03:06:45.2604704Z expected failure (0.025s)
2022-11-23T03:06:45.2604926Z   test_reference_masked_masked_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2605468Z Test masked reduction operations on strided-only tensors using ... /opt/conda/lib/python3.10/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in cdouble_scalars
2022-11-23T03:06:45.2605609Z   ret = ret.dtype.type(ret / rcount)
2022-11-23T03:06:45.2605692Z ok (0.281s)
2022-11-23T03:06:45.2605910Z   test_reference_masked_masked_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2606210Z Test masked reduction operations on strided-only tensors using ... ok (0.104s)
2022-11-23T03:06:45.2606420Z   test_reference_masked_masked_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2606954Z Test masked reduction operations on strided-only tensors using ... /opt/conda/lib/python3.10/site-packages/numpy/core/_methods.py:187: RuntimeWarning: invalid value encountered in true_divide
2022-11-23T03:06:45.2607095Z   ret = arr.dtype.type(ret / rcount)
2022-11-23T03:06:45.2607198Z ok (0.110s)
2022-11-23T03:06:45.2607549Z   test_reference_masked_masked_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2607827Z Test masked reduction operations on strided-only tensors using ... ok (0.108s)
2022-11-23T03:06:45.2608038Z   test_reference_masked_masked_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2608340Z Test masked reduction operations on strided-only tensors using ... ok (0.107s)
2022-11-23T03:06:45.2608546Z   test_reference_masked_masked_mean_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2608835Z Test masked reduction operations on strided-only tensors using ... ok (0.088s)
2022-11-23T03:06:45.2609045Z   test_reference_masked_masked_mean_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2609333Z Test masked reduction operations on strided-only tensors using ... ok (0.088s)
2022-11-23T03:06:45.2609537Z   test_reference_masked_masked_mean_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2609799Z Test masked reduction operations on strided-only tensors using ... ok (0.086s)
2022-11-23T03:06:45.2610009Z   test_reference_masked_masked_mean_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2610296Z Test masked reduction operations on strided-only tensors using ... ok (0.087s)
2022-11-23T03:06:45.2610499Z   test_reference_masked_masked_mean_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2610889Z Test masked reduction operations on strided-only tensors using ... ok (0.086s)
2022-11-23T03:06:45.2611111Z   test_reference_masked_masked_prod_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2611404Z Test masked reduction operations on strided-only tensors using ... ok (0.105s)
2022-11-23T03:06:45.2611612Z   test_reference_masked_masked_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2611959Z Test masked reduction operations on strided-only tensors using ... skip: Failing on some jobs (0.001s)
2022-11-23T03:06:45.2612156Z   test_reference_masked_masked_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2612449Z Test masked reduction operations on strided-only tensors using ... ok (0.086s)
2022-11-23T03:06:45.2612671Z   test_reference_masked_masked_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2612957Z Test masked reduction operations on strided-only tensors using ... ok (0.088s)
2022-11-23T03:06:45.2613167Z   test_reference_masked_masked_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2613459Z Test masked reduction operations on strided-only tensors using ... ok (0.091s)
2022-11-23T03:06:45.2613665Z   test_reference_masked_masked_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2613952Z Test masked reduction operations on strided-only tensors using ... ok (0.091s)
2022-11-23T03:06:45.2614136Z   test_reference_masked_masked_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2614424Z Test masked reduction operations on strided-only tensors using ... ok (0.089s)
2022-11-23T03:06:45.2614639Z   test_reference_masked_masked_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2614984Z Test masked reduction operations on strided-only tensors using ... skip: Failing on some jobs (0.001s)
2022-11-23T03:06:45.2615194Z   test_reference_masked_masked_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2615544Z Test masked reduction operations on strided-only tensors using ... skip: Failing on some jobs (0.001s)
2022-11-23T03:06:45.2615756Z   test_reference_masked_masked_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2616502Z Test masked reduction operations on strided-only tensors using ... ok (0.063s)
2022-11-23T03:06:45.2616700Z   test_reference_masked_masked_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2617056Z Test masked reduction operations on strided-only tensors using ... skip: Failing on some jobs (0.001s)
2022-11-23T03:06:45.2617261Z   test_reference_masked_masked_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2617727Z Test masked reduction operations on strided-only tensors using ... ok (0.066s)
2022-11-23T03:06:45.2617922Z   test_reference_masked_masked_std_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2618449Z Test masked reduction operations on strided-only tensors using ... /opt/conda/lib/python3.10/site-packages/numpy/core/_methods.py:225: RuntimeWarning: invalid value encountered in true_divide
2022-11-23T03:06:45.2618624Z   arrmean = arrmean.dtype.type(arrmean / rcount)
2022-11-23T03:06:45.2619016Z /opt/conda/lib/python3.10/site-packages/numpy/core/_methods.py:251: RuntimeWarning: invalid value encountered in true_divide
2022-11-23T03:06:45.2619137Z   ret = um.true_divide(
2022-11-23T03:06:45.2619221Z ok (0.301s)
2022-11-23T03:06:45.2619435Z   test_reference_masked_masked_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2619971Z Test masked reduction operations on strided-only tensors using ... /opt/conda/lib/python3.10/site-packages/numpy/core/_methods.py:225: RuntimeWarning: invalid value encountered in cdouble_scalars
2022-11-23T03:06:45.2620145Z   arrmean = arrmean.dtype.type(arrmean / rcount)
2022-11-23T03:06:45.2620245Z ok (0.268s)
2022-11-23T03:06:45.2620453Z   test_reference_masked_masked_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2620741Z Test masked reduction operations on strided-only tensors using ... ok (0.272s)
2022-11-23T03:06:45.2621006Z   test_reference_masked_masked_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2621305Z Test masked reduction operations on strided-only tensors using ... ok (0.281s)
2022-11-23T03:06:45.2621513Z   test_reference_masked_masked_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2621800Z Test masked reduction operations on strided-only tensors using ... ok (0.281s)
2022-11-23T03:06:45.2622004Z   test_reference_masked_masked_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2622571Z Test masked reduction operations on strided-only tensors using ... /opt/conda/lib/python3.10/site-packages/numpy/core/_methods.py:225: RuntimeWarning: invalid value encountered in double_scalars
2022-11-23T03:06:45.2622707Z   arrmean = arrmean.dtype.type(arrmean / rcount)
2022-11-23T03:06:45.2622804Z ok (0.278s)
2022-11-23T03:06:45.2622983Z   test_reference_masked_masked_std_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2623272Z Test masked reduction operations on strided-only tensors using ... ok (0.234s)
2022-11-23T03:06:45.2623467Z   test_reference_masked_masked_std_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2623747Z Test masked reduction operations on strided-only tensors using ... ok (0.233s)
2022-11-23T03:06:45.2623940Z   test_reference_masked_masked_std_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2624220Z Test masked reduction operations on strided-only tensors using ... ok (0.233s)
2022-11-23T03:06:45.2624414Z   test_reference_masked_masked_std_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2624697Z Test masked reduction operations on strided-only tensors using ... ok (0.231s)
2022-11-23T03:06:45.2624900Z   test_reference_masked_masked_std_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2625164Z Test masked reduction operations on strided-only tensors using ... ok (0.233s)
2022-11-23T03:06:45.2625366Z   test_reference_masked_masked_sum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2625654Z Test masked reduction operations on strided-only tensors using ... ok (0.089s)
2022-11-23T03:06:45.2625854Z   test_reference_masked_masked_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2626193Z Test masked reduction operations on strided-only tensors using ... skip: Failing on some jobs (0.001s)
2022-11-23T03:06:45.2626402Z   test_reference_masked_masked_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2626682Z Test masked reduction operations on strided-only tensors using ... ok (0.083s)
2022-11-23T03:06:45.2626888Z   test_reference_masked_masked_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2627222Z Test masked reduction operations on strided-only tensors using ... ok (0.084s)
2022-11-23T03:06:45.2627425Z   test_reference_masked_masked_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2627707Z Test masked reduction operations on strided-only tensors using ... ok (0.086s)
2022-11-23T03:06:45.2627912Z   test_reference_masked_masked_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2628189Z Test masked reduction operations on strided-only tensors using ... ok (0.086s)
2022-11-23T03:06:45.2628384Z   test_reference_masked_masked_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2628660Z Test masked reduction operations on strided-only tensors using ... ok (0.084s)
2022-11-23T03:06:45.2628859Z   test_reference_masked_masked_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2629181Z Test masked reduction operations on strided-only tensors using ... skip: Failing on some jobs (0.001s)
2022-11-23T03:06:45.2629391Z   test_reference_masked_masked_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2629734Z Test masked reduction operations on strided-only tensors using ... skip: Failing on some jobs (0.001s)
2022-11-23T03:06:45.2629933Z   test_reference_masked_masked_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2630272Z Test masked reduction operations on strided-only tensors using ... ok (0.060s)
2022-11-23T03:06:45.2630477Z   test_reference_masked_masked_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2630811Z Test masked reduction operations on strided-only tensors using ... skip: Failing on some jobs (0.001s)
2022-11-23T03:06:45.2631009Z   test_reference_masked_masked_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2631273Z Test masked reduction operations on strided-only tensors using ... ok (0.062s)
2022-11-23T03:06:45.2631472Z   test_reference_masked_masked_var_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2631755Z Test masked reduction operations on strided-only tensors using ... ok (0.293s)
2022-11-23T03:06:45.2631964Z   test_reference_masked_masked_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2632247Z Test masked reduction operations on strided-only tensors using ... ok (0.265s)
2022-11-23T03:06:45.2632454Z   test_reference_masked_masked_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2632740Z Test masked reduction operations on strided-only tensors using ... ok (0.267s)
2022-11-23T03:06:45.2632943Z   test_reference_masked_masked_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2633209Z Test masked reduction operations on strided-only tensors using ... ok (0.276s)
2022-11-23T03:06:45.2633411Z   test_reference_masked_masked_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2633690Z Test masked reduction operations on strided-only tensors using ... ok (0.278s)
2022-11-23T03:06:45.2633889Z   test_reference_masked_masked_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2634171Z Test masked reduction operations on strided-only tensors using ... ok (0.273s)
2022-11-23T03:06:45.2634366Z   test_reference_masked_masked_var_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2634651Z Test masked reduction operations on strided-only tensors using ... ok (0.227s)
2022-11-23T03:06:45.2634855Z   test_reference_masked_masked_var_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2635120Z Test masked reduction operations on strided-only tensors using ... ok (0.229s)
2022-11-23T03:06:45.2635312Z   test_reference_masked_masked_var_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2635589Z Test masked reduction operations on strided-only tensors using ... ok (0.230s)
2022-11-23T03:06:45.2635788Z   test_reference_masked_masked_var_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2636064Z Test masked reduction operations on strided-only tensors using ... ok (0.230s)
2022-11-23T03:06:45.2636340Z   test_reference_masked_masked_var_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2636621Z Test masked reduction operations on strided-only tensors using ... ok (0.229s)
2022-11-23T03:06:45.2636813Z   test_repeated_dim_cuda (__main__.TestReductionsCUDA) ... ok (0.117s)
2022-11-23T03:06:45.2636983Z   test_result_dtype_all_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2637159Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2637342Z   test_result_dtype_all_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2637514Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2637707Z   test_result_dtype_all_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2637876Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2638065Z   test_result_dtype_all_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2638230Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2638400Z   test_result_dtype_all_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2638566Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2638749Z   test_result_dtype_all_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2638913Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2639219Z   test_result_dtype_all_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2639396Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2639578Z   test_result_dtype_all_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2639743Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2639905Z   test_result_dtype_all_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2640069Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2640245Z   test_result_dtype_all_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2640415Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2640596Z   test_result_dtype_all_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2640761Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2640945Z   test_result_dtype_all_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2641122Z Tests that the result has the correct dtype ... expected failure (0.003s)
2022-11-23T03:06:45.2641310Z   test_result_dtype_amax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2641476Z Tests that the result has the correct dtype ... ok (0.189s)
2022-11-23T03:06:45.2641657Z   test_result_dtype_amax_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2641821Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2642005Z   test_result_dtype_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2642174Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2642365Z   test_result_dtype_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2642515Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2642702Z   test_result_dtype_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2642867Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2643049Z   test_result_dtype_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2643215Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2643405Z   test_result_dtype_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2643574Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2643734Z   test_result_dtype_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2643902Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2644087Z   test_result_dtype_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2644346Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2644532Z   test_result_dtype_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2644699Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2644886Z   test_result_dtype_amin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2645054Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2645216Z   test_result_dtype_amin_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2645384Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2645568Z   test_result_dtype_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2645734Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2645919Z   test_result_dtype_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2646084Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2646272Z   test_result_dtype_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2646432Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2646595Z   test_result_dtype_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2646756Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2646998Z   test_result_dtype_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2647176Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2647354Z   test_result_dtype_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2647519Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2647699Z   test_result_dtype_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2647848Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2648028Z   test_result_dtype_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2648198Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2648480Z   test_result_dtype_any_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2648648Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2648831Z   test_result_dtype_any_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2649003Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2649196Z   test_result_dtype_any_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2649345Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2649535Z   test_result_dtype_any_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2649698Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2649881Z   test_result_dtype_any_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2650044Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2650235Z   test_result_dtype_any_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2650398Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2650562Z   test_result_dtype_any_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2650728Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2650910Z   test_result_dtype_any_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2651077Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2651254Z   test_result_dtype_any_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2651419Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2651598Z   test_result_dtype_any_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2651761Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2651926Z   test_result_dtype_any_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2652097Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2652373Z   test_result_dtype_any_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2652568Z Tests that the result has the correct dtype ... expected failure (0.003s)
2022-11-23T03:06:45.2652761Z   test_result_dtype_argmax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2652933Z Tests that the result has the correct dtype ... ok (0.189s)
2022-11-23T03:06:45.2653122Z   test_result_dtype_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2653293Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2653463Z   test_result_dtype_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2653629Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2653815Z   test_result_dtype_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2653978Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2654167Z   test_result_dtype_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2654334Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2654521Z   test_result_dtype_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2654668Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2654911Z   test_result_dtype_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2655091Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2655275Z   test_result_dtype_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2655440Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2655624Z   test_result_dtype_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2655787Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2655978Z   test_result_dtype_argmin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2656503Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2656671Z   test_result_dtype_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2656829Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2657016Z   test_result_dtype_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2657187Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2657378Z   test_result_dtype_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2657563Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2657737Z   test_result_dtype_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2657871Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2658056Z   test_result_dtype_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2658218Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2658406Z   test_result_dtype_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2658570Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2658753Z   test_result_dtype_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2658917Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2659087Z   test_result_dtype_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2659252Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2659454Z   test_result_dtype_count_nonzero_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2659617Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2659810Z   test_result_dtype_count_nonzero_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2659974Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2660178Z   test_result_dtype_count_nonzero_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2660483Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2660670Z   test_result_dtype_count_nonzero_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2660837Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2661037Z   test_result_dtype_count_nonzero_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2661203Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2661403Z   test_result_dtype_count_nonzero_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2661567Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2661762Z   test_result_dtype_count_nonzero_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2661926Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2662112Z   test_result_dtype_count_nonzero_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2662278Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2662476Z   test_result_dtype_count_nonzero_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2662641Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2662832Z   test_result_dtype_count_nonzero_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2663066Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2663273Z   test_result_dtype_count_nonzero_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2663419Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2663615Z   test_result_dtype_count_nonzero_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2663779Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2663988Z   test_result_dtype_linalg_vector_norm_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2664150Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2664368Z   test_result_dtype_linalg_vector_norm_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2664536Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2664748Z   test_result_dtype_linalg_vector_norm_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2664897Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2665108Z   test_result_dtype_linalg_vector_norm_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2665276Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2665480Z   test_result_dtype_linalg_vector_norm_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2665643Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2665842Z   test_result_dtype_linalg_vector_norm_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2666008Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2666213Z   test_result_dtype_masked_amax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2666361Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2666560Z   test_result_dtype_masked_amax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2666724Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2666921Z   test_result_dtype_masked_amax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2667085Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2667328Z   test_result_dtype_masked_amax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2667495Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2667688Z   test_result_dtype_masked_amax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2667837Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2668030Z   test_result_dtype_masked_amax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2668272Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2668464Z   test_result_dtype_masked_amax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2668628Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2668816Z   test_result_dtype_masked_amax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2668993Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2669184Z   test_result_dtype_masked_amax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2669332Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2669528Z   test_result_dtype_masked_amin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2669696Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2669891Z   test_result_dtype_masked_amin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2670054Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2670248Z   test_result_dtype_masked_amin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2670413Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2670585Z   test_result_dtype_masked_amin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2670847Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2671048Z   test_result_dtype_masked_amin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2671215Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2671405Z   test_result_dtype_masked_amin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2671570Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2671760Z   test_result_dtype_masked_amin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2671924Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2672102Z   test_result_dtype_masked_amin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2672271Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2672464Z   test_result_dtype_masked_amin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2672628Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2672834Z   test_result_dtype_masked_argmax_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2672998Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2673197Z   test_result_dtype_masked_argmax_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2673360Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2673543Z   test_result_dtype_masked_argmax_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2673705Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2673902Z   test_result_dtype_masked_argmax_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2674076Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2674269Z   test_result_dtype_masked_argmax_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2674436Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2674631Z   test_result_dtype_masked_argmax_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2674783Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2674975Z   test_result_dtype_masked_argmax_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2675139Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2675333Z   test_result_dtype_masked_argmax_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2675499Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2675695Z   test_result_dtype_masked_argmax_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2675942Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2676147Z   test_result_dtype_masked_argmin_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2676296Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2676497Z   test_result_dtype_masked_argmin_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2676664Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2676860Z   test_result_dtype_masked_argmin_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2677024Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2677223Z   test_result_dtype_masked_argmin_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2677390Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2677584Z   test_result_dtype_masked_argmin_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2677733Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2677929Z   test_result_dtype_masked_argmin_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2678091Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2678284Z   test_result_dtype_masked_argmin_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2678451Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2678707Z   test_result_dtype_masked_argmin_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2678883Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2679079Z   test_result_dtype_masked_argmin_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2679225Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2679433Z   test_result_dtype_masked_logsumexp_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2679595Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2679800Z   test_result_dtype_masked_logsumexp_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2679972Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2680175Z   test_result_dtype_masked_logsumexp_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2680341Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2680527Z   test_result_dtype_masked_logsumexp_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2680693Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2680891Z   test_result_dtype_masked_logsumexp_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2681053Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2681250Z   test_result_dtype_masked_logsumexp_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2681412Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2681605Z   test_result_dtype_masked_logsumexp_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2681773Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2681958Z   test_result_dtype_masked_logsumexp_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2682123Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2682325Z   test_result_dtype_masked_logsumexp_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2682495Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2682693Z   test_result_dtype_masked_mean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2682855Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2683049Z   test_result_dtype_masked_mean_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2683214Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2683403Z   test_result_dtype_masked_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2683646Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2683848Z   test_result_dtype_masked_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2684014Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2684210Z   test_result_dtype_masked_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2684384Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2684577Z   test_result_dtype_masked_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2684742Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2684916Z   test_result_dtype_masked_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2685079Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2685270Z   test_result_dtype_masked_mean_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2685434Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2685627Z   test_result_dtype_masked_mean_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2685789Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2685979Z   test_result_dtype_masked_mean_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2686126Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2686409Z   test_result_dtype_masked_mean_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2686587Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2686780Z   test_result_dtype_masked_mean_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2686944Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2687140Z   test_result_dtype_masked_norm_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2687308Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2687506Z   test_result_dtype_masked_norm_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2687658Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2687848Z   test_result_dtype_masked_norm_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2688010Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2688205Z   test_result_dtype_masked_norm_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2688378Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2688574Z   test_result_dtype_masked_prod_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2688742Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2688937Z   test_result_dtype_masked_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2689096Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2689303Z   test_result_dtype_masked_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2689476Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2689681Z   test_result_dtype_masked_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2689848Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2690044Z   test_result_dtype_masked_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2690212Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2690407Z   test_result_dtype_masked_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2690554Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2690750Z   test_result_dtype_masked_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2690916Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2691109Z   test_result_dtype_masked_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2691273Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2691545Z   test_result_dtype_masked_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2691713Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2691888Z   test_result_dtype_masked_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2692053Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2692248Z   test_result_dtype_masked_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2692415Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2692606Z   test_result_dtype_masked_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2692770Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2692967Z   test_result_dtype_masked_std_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2693133Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2693316Z   test_result_dtype_masked_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2693516Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2693711Z   test_result_dtype_masked_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2693874Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2694120Z   test_result_dtype_masked_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2694294Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2694487Z   test_result_dtype_masked_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2694650Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2694830Z   test_result_dtype_masked_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2694996Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2695185Z   test_result_dtype_masked_std_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2695356Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2695546Z   test_result_dtype_masked_std_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2695716Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2695905Z   test_result_dtype_masked_std_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2696406Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2696613Z   test_result_dtype_masked_std_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2696803Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2697012Z   test_result_dtype_masked_std_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2697142Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2697337Z   test_result_dtype_masked_sum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2697534Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2697712Z   test_result_dtype_masked_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2697848Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2698049Z   test_result_dtype_masked_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2698210Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2698410Z   test_result_dtype_masked_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2698573Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2698765Z   test_result_dtype_masked_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2698930Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2699122Z   test_result_dtype_masked_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2699270Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2699462Z   test_result_dtype_masked_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2699786Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2699975Z   test_result_dtype_masked_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2700139Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2700332Z   test_result_dtype_masked_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2700500Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2700670Z   test_result_dtype_masked_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2700838Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2701027Z   test_result_dtype_masked_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2701190Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2701380Z   test_result_dtype_masked_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2701544Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2701747Z   test_result_dtype_masked_var_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2701909Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2702090Z   test_result_dtype_masked_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2702325Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2702534Z   test_result_dtype_masked_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2702698Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2702888Z   test_result_dtype_masked_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2703054Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2703244Z   test_result_dtype_masked_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2703408Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2703586Z   test_result_dtype_masked_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2703755Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2703943Z   test_result_dtype_masked_var_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2704109Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2704300Z   test_result_dtype_masked_var_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2704465Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2704652Z   test_result_dtype_masked_var_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2704817Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2704990Z   test_result_dtype_masked_var_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2705155Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2705342Z   test_result_dtype_masked_var_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2705510Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2705698Z   test_result_dtype_mean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2705861Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2706052Z   test_result_dtype_mean_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2706202Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2706395Z   test_result_dtype_mean_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2706557Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2706741Z   test_result_dtype_mean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2706905Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2707089Z   test_result_dtype_mean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2707253Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2707505Z   test_result_dtype_mean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2707651Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2707839Z   test_result_dtype_nanmean_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2708003Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2708195Z   test_result_dtype_nanmean_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2708360Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2708550Z   test_result_dtype_nanmean_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2708714Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2708905Z   test_result_dtype_nanmean_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2709050Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2709238Z   test_result_dtype_nansum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2709408Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2709592Z   test_result_dtype_nansum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2709754Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2709942Z   test_result_dtype_nansum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2710163Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2710344Z   test_result_dtype_nansum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2710509Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2710696Z   test_result_dtype_nansum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2710861Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2711046Z   test_result_dtype_nansum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2711210Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2711398Z   test_result_dtype_nansum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2711562Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2711727Z   test_result_dtype_nansum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2711892Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2712077Z   test_result_dtype_nansum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2712240Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2712420Z   test_result_dtype_nansum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2712583Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2712773Z   test_result_dtype_prod_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2712919Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2713104Z   test_result_dtype_prod_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2713274Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2713466Z   test_result_dtype_prod_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2713634Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2713824Z   test_result_dtype_prod_cuda_complex32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2713993Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2714184Z   test_result_dtype_prod_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2714330Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2714517Z   test_result_dtype_prod_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2714679Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2714862Z   test_result_dtype_prod_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2715031Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2715285Z   test_result_dtype_prod_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2715446Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2715625Z   test_result_dtype_prod_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2715775Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2715958Z   test_result_dtype_prod_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2716122Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2716304Z   test_result_dtype_prod_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2716471Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2716658Z   test_result_dtype_prod_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2716822Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2716986Z   test_result_dtype_prod_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2717161Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2717345Z   test_result_dtype_std_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2717507Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2717696Z   test_result_dtype_std_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2717918Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2718118Z   test_result_dtype_std_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2718282Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2718447Z   test_result_dtype_std_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2718675Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2718856Z   test_result_dtype_std_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2719019Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2719205Z   test_result_dtype_std_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2719369Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2719558Z   test_result_dtype_sum_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2719723Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2719892Z   test_result_dtype_sum_cuda_bool (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2720061Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2720253Z   test_result_dtype_sum_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2720416Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2720607Z   test_result_dtype_sum_cuda_complex32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2720771Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2720961Z   test_result_dtype_sum_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2721115Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2721301Z   test_result_dtype_sum_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2721467Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2721648Z   test_result_dtype_sum_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2721818Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2721998Z   test_result_dtype_sum_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2722164Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2722343Z   test_result_dtype_sum_cuda_int16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2722490Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2722671Z   test_result_dtype_sum_cuda_int32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2722836Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2723105Z   test_result_dtype_sum_cuda_int64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2723275Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2723456Z   test_result_dtype_sum_cuda_int8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2723622Z Tests that the result has the correct dtype ... ok (0.004s)
2022-11-23T03:06:45.2723785Z   test_result_dtype_sum_cuda_uint8 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2723953Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2724138Z   test_result_dtype_var_cuda_bfloat16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2724304Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2724495Z   test_result_dtype_var_cuda_complex128 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2724660Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2724848Z   test_result_dtype_var_cuda_complex64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2725019Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2725185Z   test_result_dtype_var_cuda_float16 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2725353Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2725537Z   test_result_dtype_var_cuda_float32 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2725828Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2726019Z   test_result_dtype_var_cuda_float64 (__main__.TestReductionsCUDA)
2022-11-23T03:06:45.2726185Z Tests that the result has the correct dtype ... ok (0.003s)
2022-11-23T03:06:45.2726875Z   test_std_correction_vs_numpy_cuda_complex128 (__main__.TestReductionsCUDA) ... /opt/conda/lib/python3.10/site-packages/numpy/core/_methods.py:251: RuntimeWarning: divide by zero encountered in true_divide
2022-11-23T03:06:45.2726994Z   ret = um.true_divide(
2022-11-23T03:06:45.2727078Z ok (0.019s)
2022-11-23T03:06:45.2727310Z   test_std_correction_vs_numpy_cuda_complex64 (__main__.TestReductionsCUDA) ... ok (0.018s)
2022-11-23T03:06:45.2727526Z   test_std_correction_vs_numpy_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.017s)
2022-11-23T03:06:45.2727738Z   test_std_correction_vs_numpy_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.016s)
2022-11-23T03:06:45.2727954Z   test_std_dim_cuda (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:06:45.2728147Z   test_std_mean_all_dims_cuda (__main__.TestReductionsCUDA) ... ok (0.004s)
2022-11-23T03:06:45.2728361Z   test_std_mean_correction_cuda_complex128 (__main__.TestReductionsCUDA) ... ok (0.026s)
2022-11-23T03:06:45.2728574Z   test_std_mean_correction_cuda_complex64 (__main__.TestReductionsCUDA) ... ok (0.028s)
2022-11-23T03:06:45.2728766Z   test_std_mean_correction_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.025s)
2022-11-23T03:06:45.2728965Z   test_std_mean_correction_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.022s)
2022-11-23T03:06:45.2729148Z   test_std_mean_cuda (__main__.TestReductionsCUDA) ... ok (0.012s)
2022-11-23T03:06:45.2729343Z   test_std_mean_some_dims_cuda (__main__.TestReductionsCUDA) ... ok (0.085s)
2022-11-23T03:06:45.2729545Z   test_std_vs_numpy_cuda_complex128 (__main__.TestReductionsCUDA) ... ok (0.015s)
2022-11-23T03:06:45.2729744Z   test_std_vs_numpy_cuda_complex64 (__main__.TestReductionsCUDA) ... ok (0.015s)
2022-11-23T03:06:45.2729946Z   test_std_vs_numpy_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.012s)
2022-11-23T03:06:45.2730142Z   test_std_vs_numpy_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.012s)
2022-11-23T03:06:45.2730341Z   test_sum_all_cuda_bool (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:06:45.2730565Z   test_sum_all_cuda_float64 (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:06:45.2730776Z   test_sum_cpu_device_mismatch_cuda (__main__.TestReductionsCUDA) ... ok (0.015s)
2022-11-23T03:06:45.2731049Z   test_sum_dim_cuda (__main__.TestReductionsCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T03:06:45.2731979Z   test_sum_dim_reduction_uint8_overflow_cuda (__main__.TestReductionsCUDA) ... /var/lib/jenkins/workspace/test/test_reductions.py:457: UserWarning: An output with one or more elements was resized since it had shape [2, 3], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:06:45.2732100Z   torch.sum(x, 0, out=y)
2022-11-23T03:06:45.2732203Z ok (0.004s)
2022-11-23T03:06:45.2732431Z   test_sum_integer_upcast_cuda (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:06:45.2732632Z   test_sum_noncontig_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.004s)
2022-11-23T03:06:45.2732852Z   test_sum_out_cuda_float64 (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:06:45.2733049Z   test_sum_parallel_cuda (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:06:45.2733251Z   test_sum_vs_numpy_cuda_float16 (__main__.TestReductionsCUDA) ... ok (0.056s)
2022-11-23T03:06:45.2733568Z   test_sum_vs_numpy_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.057s)
2022-11-23T03:06:45.2733775Z   test_sum_vs_numpy_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.056s)
2022-11-23T03:06:45.2733973Z   test_sum_vs_numpy_cuda_int16 (__main__.TestReductionsCUDA) ... ok (0.025s)
2022-11-23T03:06:45.2734169Z   test_sum_vs_numpy_cuda_int32 (__main__.TestReductionsCUDA) ... ok (0.025s)
2022-11-23T03:06:45.2734360Z   test_sum_vs_numpy_cuda_int64 (__main__.TestReductionsCUDA) ... ok (0.024s)
2022-11-23T03:06:45.2734553Z   test_sum_vs_numpy_cuda_int8 (__main__.TestReductionsCUDA) ... ok (0.025s)
2022-11-23T03:06:45.2734734Z   test_sum_vs_numpy_cuda_uint8 (__main__.TestReductionsCUDA) ... ok (0.007s)
2022-11-23T03:06:45.2734988Z   test_tensor_compare_ops_argmax_argmix_kthvalue_dim_empty_cuda (__main__.TestReductionsCUDA) ... ok (0.038s)
2022-11-23T03:06:45.2735195Z   test_tensor_compare_ops_empty_cuda (__main__.TestReductionsCUDA) ... ok (0.049s)
2022-11-23T03:06:45.2735402Z   test_tensor_reduce_ops_empty_cuda (__main__.TestReductionsCUDA) ... ok (0.048s)
2022-11-23T03:06:45.2735622Z   test_var_correction_vs_numpy_cuda_complex128 (__main__.TestReductionsCUDA) ... ok (0.017s)
2022-11-23T03:06:45.2735838Z   test_var_correction_vs_numpy_cuda_complex64 (__main__.TestReductionsCUDA) ... ok (0.018s)
2022-11-23T03:06:45.2736373Z   test_var_correction_vs_numpy_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.016s)
2022-11-23T03:06:45.2736600Z   test_var_correction_vs_numpy_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.016s)
2022-11-23T03:06:45.2736791Z   test_var_cuda (__main__.TestReductionsCUDA) ... ok (0.005s)
2022-11-23T03:06:45.2737009Z   test_var_dim_cuda (__main__.TestReductionsCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:06:45.2737166Z   test_var_large_input_cuda (__main__.TestReductionsCUDA) ... ok (0.124s)
2022-11-23T03:06:45.2737355Z   test_var_mean_all_dims_cuda (__main__.TestReductionsCUDA) ... ok (0.004s)
2022-11-23T03:06:45.2737574Z   test_var_mean_correction_cuda_complex128 (__main__.TestReductionsCUDA) ... ok (0.026s)
2022-11-23T03:06:45.2737783Z   test_var_mean_correction_cuda_complex64 (__main__.TestReductionsCUDA) ... ok (0.028s)
2022-11-23T03:06:45.2737989Z   test_var_mean_correction_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.025s)
2022-11-23T03:06:45.2738191Z   test_var_mean_correction_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.022s)
2022-11-23T03:06:45.2738370Z   test_var_mean_cuda (__main__.TestReductionsCUDA) ... ok (0.018s)
2022-11-23T03:06:45.2738544Z   test_var_mean_some_dims_cuda (__main__.TestReductionsCUDA) ... ok (0.086s)
2022-11-23T03:06:45.2738882Z   test_var_stability2_cuda (__main__.TestReductionsCUDA) ... ok (0.004s)
2022-11-23T03:06:45.2739071Z   test_var_stability_cuda (__main__.TestReductionsCUDA) ... ok (0.002s)
2022-11-23T03:06:45.2739260Z   test_var_unbiased_cuda (__main__.TestReductionsCUDA) ... ok (0.007s)
2022-11-23T03:06:45.2739464Z   test_var_vs_numpy_cuda_complex128 (__main__.TestReductionsCUDA) ... ok (0.014s)
2022-11-23T03:06:45.2739669Z   test_var_vs_numpy_cuda_complex64 (__main__.TestReductionsCUDA) ... ok (0.014s)
2022-11-23T03:06:45.2739865Z   test_var_vs_numpy_cuda_float32 (__main__.TestReductionsCUDA) ... ok (0.012s)
2022-11-23T03:06:45.2740059Z   test_var_vs_numpy_cuda_float64 (__main__.TestReductionsCUDA) ... ok (0.012s)
2022-11-23T03:06:45.2740093Z 
2022-11-23T03:06:45.2740417Z ----------------------------------------------------------------------
2022-11-23T03:06:45.2740536Z Ran 3117 tests in 82.040s
2022-11-23T03:06:45.2740555Z 
2022-11-23T03:06:45.2740695Z OK (skipped=128, expected failures=51)
2022-11-23T03:06:45.2740718Z 
2022-11-23T03:06:45.2740844Z Generating XML reports...
2022-11-23T03:06:45.2741259Z Generated XML report: test-reports/python-unittest/test_reductions/TEST-TestReductionsCUDA-20221123030521.xml
2022-11-23T03:06:45.2741279Z 
2022-11-23T03:06:45.2741942Z ##[endgroup]
2022-11-23T03:06:45.2742431Z FINISHED PRINTING LOG FILE of test_reductions (/var/lib/jenkins/workspace/test/test-reports/test_reductions_vzs134uc)
2022-11-23T03:06:45.2742454Z 
2022-11-23T03:06:45.2742711Z Running test_multiprocessing ... [2022-11-23 03:06:45.124458]
2022-11-23T03:06:45.2743151Z Executing ['/opt/conda/bin/python', '-bb', 'test_multiprocessing.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 03:06:45.124938]
2022-11-23T03:08:04.4375901Z 
2022-11-23T03:08:04.4377019Z Expand the folded group to see the log file of test_multiprocessing
2022-11-23T03:08:04.4378077Z ##[group]PRINTING LOG FILE of test_multiprocessing (/var/lib/jenkins/workspace/test/test-reports/test_multiprocessing_m43o8vfv)
2022-11-23T03:08:04.4379253Z 
2022-11-23T03:08:04.4379706Z Running tests...
2022-11-23T03:08:04.4380674Z ----------------------------------------------------------------------
2022-11-23T03:08:04.4381667Z Test results will be stored in test-reports/python-unittest/test_multiprocessing
2022-11-23T03:08:04.4382547Z   test_autograd_errors (__main__.TestMultiprocessing) ... ok (2.081s)
2022-11-23T03:08:04.4383811Z   test_autograd_fine_with_spawn (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4384353Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4384965Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4385532Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4386734Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4387483Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4387977Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4388540Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4389109Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4389537Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4390090Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4390528Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4390856Z ok (2.237s)
2022-11-23T03:08:04.4391232Z   test_cuda_bad_call (__main__.TestMultiprocessing) ... ok (0.047s)
2022-11-23T03:08:04.4392838Z   test_cuda_ipc_deadlock (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4393840Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4394787Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4395196Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4395775Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4396197Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4396762Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4397275Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4397781Z [W CudaIPCTypes.cpp:15] Producer process has been terminated before all shared CUDA tensors released. See Note [Sharing CUDA tensors]
2022-11-23T03:08:04.4398240Z ok (6.319s)
2022-11-23T03:08:04.4398978Z   test_cuda_memory_allocation (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4399552Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4400099Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4400556Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4400854Z ok (4.515s)
2022-11-23T03:08:04.4401931Z   test_cuda_parameter_sharing (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/utils/hooks.py:59: UserWarning: backward hook <function TestMultiprocessing._test_autograd_sharing.<locals>.hook at 0x7f483659ee60> on tensor will not be serialized.  If this is expected, you can decorate the function with @torch.utils.hooks.unserializable_hook to suppress this warning
2022-11-23T03:08:04.4402841Z   warnings.warn("backward hook {} on tensor will not be "
2022-11-23T03:08:04.4403418Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4403852Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4404424Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4404889Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4405201Z ok (4.469s)
2022-11-23T03:08:04.4405588Z   test_cuda_send_many (__main__.TestMultiprocessing) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T03:08:04.4406766Z   test_cuda_simple (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86579 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T03:08:04.4407553Z   test_cuda_small_tensors (__main__.TestMultiprocessing) ... skip: found only 1 GPU (0.001s)
2022-11-23T03:08:04.4408720Z   test_cuda_variable_sharing (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/utils/hooks.py:59: UserWarning: backward hook <function TestMultiprocessing._test_autograd_sharing.<locals>.hook at 0x7f483659e560> on tensor will not be serialized.  If this is expected, you can decorate the function with @torch.utils.hooks.unserializable_hook to suppress this warning
2022-11-23T03:08:04.4409498Z   warnings.warn("backward hook {} on tensor will not be "
2022-11-23T03:08:04.4410167Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4410601Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4411173Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4411631Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4412208Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4412709Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4413229Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4413675Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4413983Z ok (8.849s)
2022-11-23T03:08:04.4414298Z   test_empty_shared (__main__.TestMultiprocessing) ... ok (0.001s)
2022-11-23T03:08:04.4414681Z   test_empty_tensor_sharing (__main__.TestMultiprocessing) ... ok (0.004s)
2022-11-23T03:08:04.4415104Z   test_empty_tensor_sharing_cuda (__main__.TestMultiprocessing) ... ok (0.004s)
2022-11-23T03:08:04.4415871Z   test_event (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4417016Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4417661Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4418066Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4418372Z ok (4.514s)
2022-11-23T03:08:04.4418995Z   test_event_handle_exporter (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4419513Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4420139Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4420550Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4420841Z ok (4.549s)
2022-11-23T03:08:04.4421465Z   test_event_handle_importer (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4421982Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4422561Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4422994Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4423303Z ok (4.598s)
2022-11-23T03:08:04.4423701Z   test_event_handle_multi_gpu (__main__.TestMultiprocessing) ... skip: found only 1 GPU (0.001s)
2022-11-23T03:08:04.4424378Z   test_event_multiprocess (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4424945Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4425468Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4425995Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4426227Z ok (4.486s)
2022-11-23T03:08:04.4427223Z   test_fd_pool (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/69660 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T03:08:04.4428760Z   test_fd_preserve_sharing (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:08:04.4429436Z   warnings.warn(message, UserWarning)
2022-11-23T03:08:04.4429732Z ok (0.343s)
2022-11-23T03:08:04.4430685Z   test_fd_sharing (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68831 for platform(s) win, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T03:08:04.4432141Z   test_fs (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/76866 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T03:08:04.4432812Z   test_fs_is_shared (__main__.TestMultiprocessing) ... ok (0.543s)
2022-11-23T03:08:04.4433921Z   test_fs_pool (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/69659 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T03:08:04.4434677Z   test_fs_preserve_sharing (__main__.TestMultiprocessing) ... ok (0.264s)
2022-11-23T03:08:04.4435750Z   test_fs_sharing (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/67002 for platform(s) windows, mac, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T03:08:04.4437180Z   test_inherit_tensor (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/79776 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T03:08:04.4438275Z   test_integer_parameter_serialization_cpu (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4438822Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4439403Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4439868Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4440174Z ok (2.802s)
2022-11-23T03:08:04.4440844Z   test_integer_parameter_serialization_cuda (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4441374Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4441959Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4442428Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4442740Z ok (4.493s)
2022-11-23T03:08:04.4443026Z   test_is_shared (__main__.TestMultiprocessing) ... ok (0.001s)
2022-11-23T03:08:04.4443410Z   test_is_shared_cuda (__main__.TestMultiprocessing) ... ok (0.001s)
2022-11-23T03:08:04.4444214Z   test_leaf_variable_sharing (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4444765Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4445283Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4445750Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4446331Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4446760Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4447334Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4447796Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4448105Z ok (7.816s)
2022-11-23T03:08:04.4448722Z   test_mixed_types_cuda_sharing (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T03:08:04.4449243Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T03:08:04.4449896Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T03:08:04.4450355Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T03:08:04.4450663Z ok (8.886s)
2022-11-23T03:08:04.4450991Z   test_non_leaf_variable_sharing (__main__.TestMultiprocessing) ... ok (0.003s)
2022-11-23T03:08:04.4452142Z   test_parameter_sharing (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/utils/hooks.py:59: UserWarning: backward hook <function TestMultiprocessing._test_autograd_sharing.<locals>.hook at 0x7f48365e0ca0> on tensor will not be serialized.  If this is expected, you can decorate the function with @torch.utils.hooks.unserializable_hook to suppress this warning
2022-11-23T03:08:04.4452924Z   warnings.warn("backward hook {} on tensor will not be "
2022-11-23T03:08:04.4453211Z ok (0.051s)
2022-11-23T03:08:04.4454323Z   test_variable_sharing (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/utils/hooks.py:59: UserWarning: backward hook <function TestMultiprocessing._test_autograd_sharing.<locals>.hook at 0x7f48365e0820> on tensor will not be serialized.  If this is expected, you can decorate the function with @torch.utils.hooks.unserializable_hook to suppress this warning
2022-11-23T03:08:04.4455088Z   warnings.warn("backward hook {} on tensor will not be "
2022-11-23T03:08:04.4455355Z ok (0.101s)
2022-11-23T03:08:04.4455670Z   test_wrong_cuda_fork (__main__.TestMultiprocessing) ... ok (4.181s)
2022-11-23T03:08:04.4455927Z 
2022-11-23T03:08:04.4456642Z ----------------------------------------------------------------------
2022-11-23T03:08:04.4457069Z Ran 37 tests in 76.176s
2022-11-23T03:08:04.4457229Z 
2022-11-23T03:08:04.4457327Z OK (skipped=10)
2022-11-23T03:08:04.4457485Z 
2022-11-23T03:08:04.4457645Z Generating XML reports...
2022-11-23T03:08:04.4458243Z Generated XML report: test-reports/python-unittest/test_multiprocessing/TEST-TestMultiprocessing-20221123030647.xml
2022-11-23T03:08:04.4458581Z 
2022-11-23T03:08:04.4459175Z ##[endgroup]
2022-11-23T03:08:04.4459718Z FINISHED PRINTING LOG FILE of test_multiprocessing (/var/lib/jenkins/workspace/test/test-reports/test_multiprocessing_m43o8vfv)
2022-11-23T03:08:04.4460034Z 
2022-11-23T03:08:04.4460301Z Running distributions/test_distributions ... [2022-11-23 03:08:04.437505]
2022-11-23T03:08:04.4460983Z Executing ['/opt/conda/bin/python', '-bb', 'distributions/test_distributions.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 03:08:04.437906]
2022-11-23T03:09:15.6736051Z 
2022-11-23T03:09:15.6737628Z Expand the folded group to see the log file of distributions/test_distributions
2022-11-23T03:09:15.6738844Z ##[group]PRINTING LOG FILE of distributions/test_distributions (/var/lib/jenkins/workspace/test/test-reports/distributions-test_distributions_rvsvufgz)
2022-11-23T03:09:15.6739307Z 
2022-11-23T03:09:15.6740126Z Running tests...
2022-11-23T03:09:15.6741516Z ----------------------------------------------------------------------
2022-11-23T03:09:15.6742154Z Test results will be stored in test-reports/python-unittest/distributions.test_distributions
2022-11-23T03:09:15.6743477Z   test_cdf (__main__.TestAgainstScipy) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:107: UserWarning: Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.
2022-11-23T03:09:15.6746359Z   warnings.warn("Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.")
2022-11-23T03:09:15.6747424Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T03:09:15.6747824Z   warnings.warn("Singular sample detected.")
2022-11-23T03:09:15.6748126Z ok (0.074s)
2022-11-23T03:09:15.6748404Z   test_icdf (__main__.TestAgainstScipy) ... ok (0.035s)
2022-11-23T03:09:15.6748761Z   test_mean (__main__.TestAgainstScipy) ... ok (1.868s)
2022-11-23T03:09:15.6750467Z   test_variance_stddev (__main__.TestAgainstScipy) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_comparison.py:599: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:205.)
2022-11-23T03:09:15.6751592Z   return torch.as_tensor(tensor_like)
2022-11-23T03:09:15.6751882Z ok (0.051s)
2022-11-23T03:09:15.6752599Z   test_params_constraints (__main__.TestConstraints) ... ok (0.093s)
2022-11-23T03:09:15.6753034Z   test_support_constraints (__main__.TestConstraints) ... ok (0.120s)
2022-11-23T03:09:15.6753678Z   test_bernoulli_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6754447Z   test_bernoulli_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6755188Z   test_beta_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6756197Z   test_beta_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.004s)
2022-11-23T03:09:15.6756715Z   test_binomial_shape (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6757376Z   test_binomial_shape_vectorized_n (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6758193Z   test_categorical_shape (__main__.TestDistributionShapes) ... ok (0.006s)
2022-11-23T03:09:15.6759196Z   test_cauchy_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6760066Z   test_cauchy_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6760694Z   test_chi2_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6761626Z   test_chi2_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6762239Z   test_continuous_bernoulli_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.004s)
2022-11-23T03:09:15.6763118Z   test_continuous_bernoulli_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.004s)
2022-11-23T03:09:15.6764025Z   test_dirichlet_shape (__main__.TestDistributionShapes) ... ok (0.004s)
2022-11-23T03:09:15.6764804Z   test_entropy_shape (__main__.TestDistributionShapes) ... ok (0.036s)
2022-11-23T03:09:15.6765746Z   test_exponential_shape_scalar_param (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6766601Z   test_exponential_shape_tensor_param (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T03:09:15.6767043Z   test_gamma_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6767486Z   test_gamma_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6767999Z   test_geometric_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6768435Z   test_geometric_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6768888Z   test_gumbel_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6769538Z   test_halfcauchy_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6770312Z   test_halfcauchy_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6771241Z   test_kumaraswamy_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6772094Z   test_laplace_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6773091Z   test_laplace_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6773676Z   test_mixture_same_family_shape (__main__.TestDistributionShapes) ... ok (0.004s)
2022-11-23T03:09:15.6774212Z   test_multinomial_shape (__main__.TestDistributionShapes) ... ok (0.004s)
2022-11-23T03:09:15.6774643Z   test_normal_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6775085Z   test_normal_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6775527Z   test_one_hot_categorical_shape (__main__.TestDistributionShapes) ... ok (0.008s)
2022-11-23T03:09:15.6775968Z   test_pareto_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6776931Z   test_studentT_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6777393Z   test_studentT_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6777839Z   test_uniform_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6778268Z   test_uniform_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6778723Z   test_vonmises_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.004s)
2022-11-23T03:09:15.6779173Z   test_vonmises_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.004s)
2022-11-23T03:09:15.6779610Z   test_weibull_scale_scalar_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T03:09:15.6780031Z   test_wishart_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.005s)
2022-11-23T03:09:15.6780474Z   test_wishart_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.006s)
2022-11-23T03:09:15.6780911Z   test_argmax_relaxed_categorical (__main__.TestDistributions) ... ok (0.032s)
2022-11-23T03:09:15.6781292Z   test_bernoulli (__main__.TestDistributions) ... ok (0.124s)
2022-11-23T03:09:15.6781661Z   test_bernoulli_3d (__main__.TestDistributions) ... ok (0.002s)
2022-11-23T03:09:15.6782063Z   test_bernoulli_enumerate_support (__main__.TestDistributions) ... ok (0.003s)
2022-11-23T03:09:15.6782463Z   test_beta_log_prob (__main__.TestDistributions) ... ok (0.092s)
2022-11-23T03:09:15.6782821Z   test_beta_sample (__main__.TestDistributions) ... ok (0.551s)
2022-11-23T03:09:15.6783197Z   test_beta_shape (__main__.TestDistributions) ... ok (0.005s)
2022-11-23T03:09:15.6783572Z   test_beta_underflow (__main__.TestDistributions) ... ok (0.045s)
2022-11-23T03:09:15.6783944Z   test_beta_underflow_gpu (__main__.TestDistributions) ... ok (0.006s)
2022-11-23T03:09:15.6784324Z   test_binomial (__main__.TestDistributions) ... ok (0.040s)
2022-11-23T03:09:15.6784715Z   test_binomial_enumerate_support (__main__.TestDistributions) ... ok (0.004s)
2022-11-23T03:09:15.6785106Z   test_binomial_extreme_vals (__main__.TestDistributions) ... ok (0.005s)
2022-11-23T03:09:15.6785702Z   test_binomial_log_prob_and_entropy (__main__.TestDistributions) ... ok (0.081s)
2022-11-23T03:09:15.6786133Z   test_binomial_log_prob_vectorized_count (__main__.TestDistributions) ... ok (0.006s)
2022-11-23T03:09:15.6786544Z   test_binomial_sample (__main__.TestDistributions) ... ok (0.087s)
2022-11-23T03:09:15.6786915Z   test_binomial_stable (__main__.TestDistributions) ... ok (0.004s)
2022-11-23T03:09:15.6787311Z   test_binomial_vectorized_count (__main__.TestDistributions) ... ok (0.096s)
2022-11-23T03:09:15.6787709Z   test_categorical_1d (__main__.TestDistributions) ... ok (0.008s)
2022-11-23T03:09:15.6788070Z   test_categorical_2d (__main__.TestDistributions) ... ok (0.014s)
2022-11-23T03:09:15.6788482Z   test_categorical_enumerate_support (__main__.TestDistributions) ... ok (0.002s)
2022-11-23T03:09:15.6788870Z   test_cauchy (__main__.TestDistributions) ... ok (0.021s)
2022-11-23T03:09:15.6789749Z   test_cdf_icdf_inverse (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T03:09:15.6790238Z   warnings.warn("Singular sample detected.")
2022-11-23T03:09:15.6790521Z ok (0.324s)
2022-11-23T03:09:15.6790828Z   test_cdf_log_prob (__main__.TestDistributions) ... ok (0.150s)
2022-11-23T03:09:15.6791295Z   test_chi2_sample (__main__.TestDistributions) ... ok (0.178s)
2022-11-23T03:09:15.6791677Z   test_chi2_shape (__main__.TestDistributions) ... ok (0.007s)
2022-11-23T03:09:15.6792062Z   test_continuous_bernoulli (__main__.TestDistributions) ... ok (0.023s)
2022-11-23T03:09:15.6792467Z   test_continuous_bernoulli_3d (__main__.TestDistributions) ... ok (0.003s)
2022-11-23T03:09:15.6792851Z   test_dirichlet_log_prob (__main__.TestDistributions) ... ok (0.004s)
2022-11-23T03:09:15.6793234Z   test_dirichlet_mode (__main__.TestDistributions) ... ok (0.004s)
2022-11-23T03:09:15.6793629Z   test_dirichlet_sample (__main__.TestDistributions) ... ok (0.068s)
2022-11-23T03:09:15.6794005Z   test_dirichlet_shape (__main__.TestDistributions) ... ok (0.003s)
2022-11-23T03:09:15.6794730Z   test_distribution_expand (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T03:09:15.6795233Z   warnings.warn("Singular sample detected.")
2022-11-23T03:09:15.6795519Z ok (0.943s)
2022-11-23T03:09:15.6795842Z   test_distribution_subclass_expand (__main__.TestDistributions) ... ok (0.239s)
2022-11-23T03:09:15.6796266Z   test_enumerate_support_type (__main__.TestDistributions) ... ok (0.048s)
2022-11-23T03:09:15.6796657Z   test_exponential (__main__.TestDistributions) ... ok (0.016s)
2022-11-23T03:09:15.6797028Z   test_exponential_sample (__main__.TestDistributions) ... ok (0.174s)
2022-11-23T03:09:15.6797423Z   test_fishersnedecor (__main__.TestDistributions) ... ok (0.010s)
2022-11-23T03:09:15.6797823Z   test_fishersnedecor_sample (__main__.TestDistributions) ... ok (1.545s)
2022-11-23T03:09:15.6798208Z   test_gamma_gpu_sample (__main__.TestDistributions) ... ok (0.523s)
2022-11-23T03:09:15.6798600Z   test_gamma_gpu_shape (__main__.TestDistributions) ... ok (0.014s)
2022-11-23T03:09:15.6799010Z   test_gamma_log_prob_at_boundary (__main__.TestDistributions) ... ok (0.006s)
2022-11-23T03:09:15.6799408Z   test_gamma_sample (__main__.TestDistributions) ... ok (0.529s)
2022-11-23T03:09:15.6799772Z   test_gamma_shape (__main__.TestDistributions) ... ok (0.007s)
2022-11-23T03:09:15.6800153Z   test_geometric (__main__.TestDistributions) ... ok (0.010s)
2022-11-23T03:09:15.6800557Z   test_geometric_log_prob_and_entropy (__main__.TestDistributions) ... ok (0.019s)
2022-11-23T03:09:15.6800950Z   test_geometric_sample (__main__.TestDistributions) ... ok (0.010s)
2022-11-23T03:09:15.6801331Z   test_gumbel (__main__.TestDistributions) ... ok (0.008s)
2022-11-23T03:09:15.6801708Z   test_gumbel_sample (__main__.TestDistributions) ... ok (1.044s)
2022-11-23T03:09:15.6802063Z   test_halfcauchy (__main__.TestDistributions) ... ok (0.015s)
2022-11-23T03:09:15.6802542Z   test_halfnormal (__main__.TestDistributions) ... ok (0.015s)
2022-11-23T03:09:15.6802920Z   test_halfnormal_logprob (__main__.TestDistributions) ... ok (0.009s)
2022-11-23T03:09:15.6803324Z   test_halfnormal_sample (__main__.TestDistributions) ... ok (0.174s)
2022-11-23T03:09:15.6803692Z   test_has_examples (__main__.TestDistributions) ... ok (0.001s)
2022-11-23T03:09:15.6804428Z   test_independent_expand (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T03:09:15.6804934Z   warnings.warn("Singular sample detected.")
2022-11-23T03:09:15.6805202Z ok (1.021s)
2022-11-23T03:09:15.6805523Z   test_independent_shape (__main__.TestDistributions) ... ok (0.432s)
2022-11-23T03:09:15.6805944Z   test_invalid_parameter_broadcasting (__main__.TestDistributions) ... ok (0.042s)
2022-11-23T03:09:15.6806376Z   test_kumaraswamy_mean_variance (__main__.TestDistributions) ... ok (0.027s)
2022-11-23T03:09:15.6806772Z   test_kumaraswamy_shape (__main__.TestDistributions) ... ok (0.005s)
2022-11-23T03:09:15.6807148Z   test_laplace (__main__.TestDistributions) ... ok (0.029s)
2022-11-23T03:09:15.6807521Z   test_laplace_sample (__main__.TestDistributions) ... ok (0.518s)
2022-11-23T03:09:15.6807972Z   test_lazy_property_grad (__main__.TestDistributions) ... ok (0.004s)
2022-11-23T03:09:15.6808376Z   test_lkj_cholesky_log_prob (__main__.TestDistributions) ... ok (0.021s)
2022-11-23T03:09:15.6808761Z   test_logisticnormal (__main__.TestDistributions) ... ok (0.036s)
2022-11-23T03:09:15.6809142Z   test_logisticnormal_logprob (__main__.TestDistributions) ... ok (0.003s)
2022-11-23T03:09:15.6809549Z   test_logisticnormal_sample (__main__.TestDistributions) ... ok (0.568s)
2022-11-23T03:09:15.6809933Z   test_lognormal (__main__.TestDistributions) ... ok (0.025s)
2022-11-23T03:09:15.6810315Z   test_lognormal_logprob (__main__.TestDistributions) ... ok (0.009s)
2022-11-23T03:09:15.6810701Z   test_lognormal_sample (__main__.TestDistributions) ... ok (0.523s)
2022-11-23T03:09:15.6811121Z   test_lowrank_multivariate_normal_log_prob (__main__.TestDistributions) ... ok (0.011s)
2022-11-23T03:09:15.6811565Z   test_lowrank_multivariate_normal_moments (__main__.TestDistributions) ... ok (0.041s)
2022-11-23T03:09:15.6812006Z   test_lowrank_multivariate_normal_properties (__main__.TestDistributions) ... ok (0.005s)
2022-11-23T03:09:15.6812459Z   test_lowrank_multivariate_normal_sample (__main__.TestDistributions) ... ok (0.067s)
2022-11-23T03:09:15.6812908Z   test_lowrank_multivariate_normal_shape (__main__.TestDistributions) ... ok (0.071s)
2022-11-23T03:09:15.6813344Z   test_mixture_same_family_log_prob (__main__.TestDistributions) ... ok (0.010s)
2022-11-23T03:09:15.6813747Z   test_mixture_same_family_sample (__main__.TestDistributions) ... ok (0.081s)
2022-11-23T03:09:15.6814153Z   test_mixture_same_family_shape (__main__.TestDistributions) ... ok (0.012s)
2022-11-23T03:09:15.6814873Z   test_mode (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T03:09:15.6815368Z   warnings.warn("Singular sample detected.")
2022-11-23T03:09:15.6815633Z ok (0.174s)
2022-11-23T03:09:15.6815941Z   test_multinomial_1d (__main__.TestDistributions) ... ok (0.018s)
2022-11-23T03:09:15.6817078Z   test_multinomial_1d_log_prob_and_entropy (__main__.TestDistributions) ... ok (0.007s)
2022-11-23T03:09:15.6817475Z   test_multinomial_2d (__main__.TestDistributions) ... ok (0.020s)
2022-11-23T03:09:15.6817874Z   test_multivariate_normal_log_prob (__main__.TestDistributions) ... ok (0.012s)
2022-11-23T03:09:15.6818292Z   test_multivariate_normal_moments (__main__.TestDistributions) ... ok (0.030s)
2022-11-23T03:09:15.6818703Z   test_multivariate_normal_properties (__main__.TestDistributions) ... ok (0.003s)
2022-11-23T03:09:15.6819133Z   test_multivariate_normal_sample (__main__.TestDistributions) ... ok (0.188s)
2022-11-23T03:09:15.6819754Z   test_multivariate_normal_shape (__main__.TestDistributions) ... ok (0.106s)
2022-11-23T03:09:15.6820207Z   test_multivariate_normal_stable_with_precision_matrix (__main__.TestDistributions) ... ok (0.002s)
2022-11-23T03:09:15.6820619Z   test_negative_binomial (__main__.TestDistributions) ... ok (0.032s)
2022-11-23T03:09:15.6821031Z   test_negative_binomial_log_prob (__main__.TestDistributions) ... ok (0.073s)
2022-11-23T03:09:15.6821476Z   test_negative_binomial_log_prob_vectorized_count (__main__.TestDistributions) ... ok (0.006s)
2022-11-23T03:09:15.6821866Z   test_normal (__main__.TestDistributions) ... ok (0.029s)
2022-11-23T03:09:15.6822236Z   test_normal_sample (__main__.TestDistributions) ... ok (0.521s)
2022-11-23T03:09:15.6822629Z   test_one_hot_categorical_1d (__main__.TestDistributions) ... ok (0.010s)
2022-11-23T03:09:15.6823028Z   test_one_hot_categorical_2d (__main__.TestDistributions) ... ok (0.012s)
2022-11-23T03:09:15.6823438Z   test_one_hot_categorical_enumerate_support (__main__.TestDistributions) ... ok (0.003s)
2022-11-23T03:09:15.6823845Z   test_pareto (__main__.TestDistributions) ... ok (0.009s)
2022-11-23T03:09:15.6824212Z   test_pareto_sample (__main__.TestDistributions) ... ok (0.523s)
2022-11-23T03:09:15.6824579Z   test_poisson_forward_ad (__main__.TestDistributions) ... ok (0.001s)
2022-11-23T03:09:15.6825064Z   test_poisson_gpu_sample (__main__.TestDistributions) ... ok (0.010s)
2022-11-23T03:09:15.6825467Z   test_poisson_log_prob (__main__.TestDistributions) ... ok (0.012s)
2022-11-23T03:09:15.6825833Z   test_poisson_sample (__main__.TestDistributions) ... ok (0.010s)
2022-11-23T03:09:15.6826215Z   test_poisson_shape (__main__.TestDistributions) ... ok (0.003s)
2022-11-23T03:09:15.6826599Z   test_relaxed_bernoulli (__main__.TestDistributions) ... ok (0.025s)
2022-11-23T03:09:15.6827003Z   test_relaxed_one_hot_categorical_1d (__main__.TestDistributions) ... ok (0.014s)
2022-11-23T03:09:15.6827409Z   test_relaxed_one_hot_categorical_2d (__main__.TestDistributions) ... ok (0.024s)
2022-11-23T03:09:15.6827807Z   test_repr (__main__.TestDistributions) ... ok (0.034s)
2022-11-23T03:09:15.6828189Z   test_rounded_relaxed_bernoulli (__main__.TestDistributions) ... ok (0.032s)
2022-11-23T03:09:15.6828968Z   test_rsample_requires_grad (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T03:09:15.6829472Z   warnings.warn("Singular sample detected.")
2022-11-23T03:09:15.6829749Z ok (0.031s)
2022-11-23T03:09:15.6830059Z   test_sample_detached (__main__.TestDistributions) ... ok (0.032s)
2022-11-23T03:09:15.6830416Z   test_studentT (__main__.TestDistributions) ... ok (0.011s)
2022-11-23T03:09:15.6830795Z   test_studentT_log_prob (__main__.TestDistributions) ... ok (0.149s)
2022-11-23T03:09:15.6831180Z   test_studentT_sample (__main__.TestDistributions) ... ok (2.290s)
2022-11-23T03:09:15.6831556Z   test_support_attributes (__main__.TestDistributions) ... ok (0.041s)
2022-11-23T03:09:15.6831937Z   test_uniform (__main__.TestDistributions) ... ok (0.019s)
2022-11-23T03:09:15.6832333Z   test_valid_parameter_broadcasting (__main__.TestDistributions) ... ok (0.047s)
2022-11-23T03:09:15.6832746Z   test_vonmises_logprob (__main__.TestDistributions) ... ok (0.015s)
2022-11-23T03:09:15.6833115Z   test_vonmises_sample (__main__.TestDistributions) ... ok (11.207s)
2022-11-23T03:09:15.6833943Z   test_wishart_log_prob (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:107: UserWarning: Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.
2022-11-23T03:09:15.6834899Z   warnings.warn("Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.")
2022-11-23T03:09:15.6835536Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T03:09:15.6835952Z   warnings.warn("Singular sample detected.")
2022-11-23T03:09:15.6836333Z ok (0.104s)
2022-11-23T03:09:15.6836646Z   test_wishart_moments (__main__.TestDistributions) ... ok (1.692s)
2022-11-23T03:09:15.6837024Z   test_wishart_properties (__main__.TestDistributions) ... ok (0.004s)
2022-11-23T03:09:15.6837409Z   test_wishart_sample (__main__.TestDistributions) ... ok (0.437s)
2022-11-23T03:09:15.6838097Z   test_wishart_shape (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T03:09:15.6838590Z   warnings.warn("Singular sample detected.")
2022-11-23T03:09:15.6839124Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T03:09:15.6839555Z   warnings.warn("Singular sample detected.")
2022-11-23T03:09:15.6840101Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T03:09:15.6840523Z   warnings.warn("Singular sample detected.")
2022-11-23T03:09:15.6841049Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T03:09:15.6841471Z   warnings.warn("Singular sample detected.")
2022-11-23T03:09:15.6842005Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T03:09:15.6842487Z   warnings.warn("Singular sample detected.")
2022-11-23T03:09:15.6843041Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T03:09:15.6843463Z   warnings.warn("Singular sample detected.")
2022-11-23T03:09:15.6843723Z ok (0.198s)
2022-11-23T03:09:15.6844066Z   test_wishart_stable_with_precision_matrix (__main__.TestDistributions) ... ok (0.002s)
2022-11-23T03:09:15.6844489Z   test_zero_excluded_binomial (__main__.TestDistributions) ... ok (0.571s)
2022-11-23T03:09:15.6844873Z   test_cat_event_dim (__main__.TestFunctors) ... ok (0.002s)
2022-11-23T03:09:15.6845350Z   test_cat_transform (__main__.TestFunctors) ... ok (0.005s)
2022-11-23T03:09:15.6845703Z   test_cat_transform_non_uniform (__main__.TestFunctors) ... ok (0.006s)
2022-11-23T03:09:15.6846081Z   test_stack_transform (__main__.TestFunctors) ... ok (0.005s)
2022-11-23T03:09:15.6846717Z   test_cdf (__main__.TestJit) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T03:09:15.6847172Z   warnings.warn("Singular sample detected.")
2022-11-23T03:09:15.6847455Z ok (3.877s)
2022-11-23T03:09:15.6848155Z   test_entropy (__main__.TestJit) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:107: UserWarning: Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.
2022-11-23T03:09:15.6848898Z   warnings.warn("Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.")
2022-11-23T03:09:15.6849237Z ok (5.228s)
2022-11-23T03:09:15.6849541Z   test_enumerate_support (__main__.TestJit) ... ok (0.394s)
2022-11-23T03:09:15.6850006Z   test_log_prob (__main__.TestJit) ... ok (8.943s)
2022-11-23T03:09:15.6850306Z   test_mean (__main__.TestJit) ... ok (2.486s)
2022-11-23T03:09:15.6850628Z   test_rsample (__main__.TestJit) ... ok (0.680s)
2022-11-23T03:09:15.6850947Z   test_sample (__main__.TestJit) ... ok (0.906s)
2022-11-23T03:09:15.6851261Z   test_variance (__main__.TestJit) ... ok (4.172s)
2022-11-23T03:09:15.6851623Z   test_entropy_exponential_family (__main__.TestKL) ... ok (0.070s)
2022-11-23T03:09:15.6851999Z   test_entropy_monte_carlo (__main__.TestKL) ... ok (3.210s)
2022-11-23T03:09:15.6852348Z   test_kl_edgecases (__main__.TestKL) ... ok (0.023s)
2022-11-23T03:09:15.6852678Z   test_kl_exponential_family (__main__.TestKL) ... ok (0.044s)
2022-11-23T03:09:15.6853019Z   test_kl_infinite (__main__.TestKL) ... ok (0.030s)
2022-11-23T03:09:15.6853379Z   test_kl_lowrank_multivariate_normal (__main__.TestKL) ... ok (0.041s)
2022-11-23T03:09:15.6853869Z   test_kl_lowrank_multivariate_normal_batched (__main__.TestKL) ... ok (0.032s)
2022-11-23T03:09:15.6854241Z   test_kl_monte_carlo (__main__.TestKL) ... ok (0.932s)
2022-11-23T03:09:15.6854595Z   test_kl_multivariate_normal (__main__.TestKL) ... ok (0.048s)
2022-11-23T03:09:15.6854949Z   test_kl_multivariate_normal_batched (__main__.TestKL) ... ok (0.028s)
2022-11-23T03:09:15.6855362Z   test_kl_multivariate_normal_batched_broadcasted (__main__.TestKL) ... ok (0.028s)
2022-11-23T03:09:15.6855734Z   test_kl_shape (__main__.TestKL) ... ok (0.082s)
2022-11-23T03:09:15.6856442Z   test_kl_transformed (__main__.TestKL) ... ok (0.022s)
2022-11-23T03:09:15.6857025Z   test_lazy_logits_initialization (__main__.TestLazyLogitsInitialization) ... ok (0.007s)
2022-11-23T03:09:15.6857507Z   test_lazy_probs_initialization (__main__.TestLazyLogitsInitialization) ... ok (0.004s)
2022-11-23T03:09:15.6857951Z   test_bernoulli_gradient (__main__.TestNumericalStability) ... ok (0.025s)
2022-11-23T03:09:15.6858379Z   test_bernoulli_with_logits_overflow (__main__.TestNumericalStability) ... ok (0.005s)
2022-11-23T03:09:15.6858829Z   test_bernoulli_with_logits_underflow (__main__.TestNumericalStability) ... ok (0.005s)
2022-11-23T03:09:15.6859265Z   test_categorical_log_prob (__main__.TestNumericalStability) ... ok (0.003s)
2022-11-23T03:09:15.6859898Z   test_categorical_log_prob_with_logits (__main__.TestNumericalStability) ... ok (0.004s)
2022-11-23T03:09:15.6860347Z   test_continuous_bernoulli_gradient (__main__.TestNumericalStability) ... ok (0.050s)
2022-11-23T03:09:15.6860812Z   test_continuous_bernoulli_with_logits_overflow (__main__.TestNumericalStability) ... ok (0.008s)
2022-11-23T03:09:15.6861298Z   test_continuous_bernoulli_with_logits_underflow (__main__.TestNumericalStability) ... ok (0.007s)
2022-11-23T03:09:15.6861731Z   test_multinomial_log_prob (__main__.TestNumericalStability) ... ok (0.004s)
2022-11-23T03:09:15.6862171Z   test_multinomial_log_prob_with_logits (__main__.TestNumericalStability) ... ok (0.004s)
2022-11-23T03:09:15.6862587Z   test_beta_wrt_alpha (__main__.TestRsample) ... ok (0.077s)
2022-11-23T03:09:15.6862940Z   test_beta_wrt_beta (__main__.TestRsample) ... ok (0.077s)
2022-11-23T03:09:15.6863254Z   test_chi2 (__main__.TestRsample) ... ok (0.038s)
2022-11-23T03:09:15.6863616Z   test_dirichlet_multivariate (__main__.TestRsample) ... ok (0.649s)
2022-11-23T03:09:15.6864006Z   test_dirichlet_on_diagonal (__main__.TestRsample) ... ok (0.079s)
2022-11-23T03:09:15.6864374Z   test_dirichlet_tangent_field (__main__.TestRsample) ... ok (0.166s)
2022-11-23T03:09:15.6864727Z   test_gamma (__main__.TestRsample) ... ok (0.037s)
2022-11-23T03:09:15.6865062Z   test_invalid (__main__.TestValidation) ... ok (0.034s)
2022-11-23T03:09:15.6865413Z   test_invalid_log_probs_arg (__main__.TestValidation) ... ok (0.494s)
2022-11-23T03:09:15.6865780Z   test_valid (__main__.TestValidation) ... ok (0.023s)
2022-11-23T03:09:15.6866166Z   test_warning_unimplemented_constraints (__main__.TestValidation) ... ok (0.012s)
2022-11-23T03:09:15.6866427Z 
2022-11-23T03:09:15.6866779Z ----------------------------------------------------------------------
2022-11-23T03:09:15.6867093Z Ran 219 tests in 65.295s
2022-11-23T03:09:15.6867255Z 
2022-11-23T03:09:15.6867349Z OK
2022-11-23T03:09:15.6867482Z 
2022-11-23T03:09:15.6867607Z Generating XML reports...
2022-11-23T03:09:15.6868200Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestAgainstScipy-20221123030809.xml
2022-11-23T03:09:15.6868955Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestConstraints-20221123030809.xml
2022-11-23T03:09:15.6888996Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestDistributionShapes-20221123030809.xml
2022-11-23T03:09:15.6890304Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestDistributions-20221123030809.xml
2022-11-23T03:09:15.6891121Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestFunctors-20221123030809.xml
2022-11-23T03:09:15.6892273Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestJit-20221123030809.xml
2022-11-23T03:09:15.6893035Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestKL-20221123030809.xml
2022-11-23T03:09:15.6893847Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestLazyLogitsInitialization-20221123030809.xml
2022-11-23T03:09:15.6894687Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestNumericalStability-20221123030809.xml
2022-11-23T03:09:15.6895460Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestRsample-20221123030809.xml
2022-11-23T03:09:15.6896822Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestValidation-20221123030809.xml
2022-11-23T03:09:15.6897188Z 
2022-11-23T03:09:15.6897788Z ##[endgroup]
2022-11-23T03:09:15.6898421Z FINISHED PRINTING LOG FILE of distributions/test_distributions (/var/lib/jenkins/workspace/test/test-reports/distributions-test_distributions_rvsvufgz)
2022-11-23T03:09:15.6898784Z 
2022-11-23T03:09:15.6899022Z Running test_autograd ... [2022-11-23 03:09:15.673735]
2022-11-23T03:09:15.6899855Z Executing ['/opt/conda/bin/python', '-bb', 'test_autograd.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 03:09:15.674060]
2022-11-23T03:10:03.8693085Z 
2022-11-23T03:10:03.8693920Z Expand the folded group to see the log file of test_autograd
2022-11-23T03:10:03.8695665Z ##[group]PRINTING LOG FILE of test_autograd (/var/lib/jenkins/workspace/test/test-reports/test_autograd_vbzu9n5y)
2022-11-23T03:10:03.8697349Z 
2022-11-23T03:10:03.8697849Z Running tests...
2022-11-23T03:10:03.8698773Z ----------------------------------------------------------------------
2022-11-23T03:10:03.8699668Z Test results will be stored in test-reports/python-unittest/test_autograd
2022-11-23T03:10:03.8700518Z   test_backward_out_of_context (__main__.TestAllowMutationOnSaved) ... ok (0.024s)
2022-11-23T03:10:03.8701277Z   test_basic (__main__.TestAllowMutationOnSaved) ... ok (0.010s)
2022-11-23T03:10:03.8701917Z   test_disallow_nesting (__main__.TestAllowMutationOnSaved) ... ok (0.001s)
2022-11-23T03:10:03.8702693Z   test_double_backward (__main__.TestAllowMutationOnSaved) ... ok (0.004s)
2022-11-23T03:10:03.8703510Z   test_save_base_and_modify_view (__main__.TestAllowMutationOnSaved) ... ok (0.003s)
2022-11-23T03:10:03.8704168Z   test_save_view_modify_base (__main__.TestAllowMutationOnSaved) ... ok (0.003s)
2022-11-23T03:10:03.8708117Z   test_saved_but_not_anymore (__main__.TestAllowMutationOnSaved) ... ok (0.003s)
2022-11-23T03:10:03.8708590Z   test_saved_same_tensor_different_versions (__main__.TestAllowMutationOnSaved) ... ok (0.002s)
2022-11-23T03:10:03.8709398Z   test_saved_same_tensor_many_times (__main__.TestAllowMutationOnSaved) ... ok (0.002s)
2022-11-23T03:10:03.8709922Z   test_views (__main__.TestAllowMutationOnSaved) ... ok (0.009s)
2022-11-23T03:10:03.8710393Z   test_with_math_views (__main__.TestAllowMutationOnSaved) ... ok (0.004s)
2022-11-23T03:10:03.8711035Z   test_with_out_variant (__main__.TestAllowMutationOnSaved) ... ok (0.002s)
2022-11-23T03:10:03.8711904Z   test_access_saved_tensor_twice_without_recomputation_works (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T03:10:03.8714733Z   test_accumulate_grad (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/engine.cpp:1127.)
2022-11-23T03:10:03.8717183Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:10:03.8717822Z ok (0.004s)
2022-11-23T03:10:03.8718398Z   test_accumulate_grad_tensor_reference (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T03:10:03.8719115Z   test_accumulate_grad_with_zero_numel_grad (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8720368Z   test_anomaly_assign_parent_cleanup (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:3823: UserWarning: Anomaly Detection has been enabled. This mode will increase the runtime and should only be enabled for debugging.
2022-11-23T03:10:03.8721328Z   with detect_anomaly():
2022-11-23T03:10:03.8722430Z ok (0.003s)
2022-11-23T03:10:03.8723115Z   test_anomaly_detect_nan (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T03:10:03.8723683Z   test_anomaly_grad_warnings (__main__.TestAutograd) ... ok (0.018s)
2022-11-23T03:10:03.8724587Z   test_anomaly_mode_no_check_nan (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8725087Z   test_attribute_deletion (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8725464Z   test_autograd_inplace_view_of_view (__main__.TestAutograd) ... ok (0.010s)
2022-11-23T03:10:03.8725888Z   test_autograd_inplace_views_creation_meta (__main__.TestAutograd) ... ok (0.296s)
2022-11-23T03:10:03.8726540Z   test_autograd_inplace_views_cross_dtype (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8726960Z   test_autograd_multiple_views_python (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T03:10:03.8727391Z   test_autograd_python_custom_function_inplace (__main__.TestAutograd) ... ok (0.012s)
2022-11-23T03:10:03.8727820Z   test_autograd_simple_views_python (__main__.TestAutograd) ... ok (0.119s)
2022-11-23T03:10:03.8728219Z   test_autograd_views_codegen (__main__.TestAutograd) ... ok (0.023s)
2022-11-23T03:10:03.8728565Z   test_backward (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T03:10:03.8728935Z   test_backward_badcalls (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T03:10:03.8729305Z   test_backward_copy (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8729670Z   test_backward_create_graph_warns (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8730057Z   test_backward_no_grad (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T03:10:03.8730475Z   test_backward_twice_retained_graph_with_saved_values (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8730943Z   test_backward_twice_retained_graph_without_saved_values (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8731360Z   test_backward_twice_with_saved_values (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T03:10:03.8731780Z   test_backward_twice_without_saved_values (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8732185Z   test_backward_with_inputs (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T03:10:03.8732565Z   test_backward_with_nonleaf_inputs (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8733680Z   test_calculate_shape_util (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/nested/__init__.py:58: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2022-11-23T03:10:03.8734426Z   return torch._nested_tensor_from_tensor_list(tensor_list, dtype, None, device, None)
2022-11-23T03:10:03.8734764Z ok (0.003s)
2022-11-23T03:10:03.8735063Z   test_callback_adds_callback (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8735456Z   test_cant_create_saved_tensors (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8735859Z   test_checkpoint_valid_reset_on_error (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8736901Z   test_checkpointing (__main__.TestAutograd) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T03:10:03.8737329Z   test_checkpointing_non_reentrant_autocast_cpu (__main__.TestAutograd)
2022-11-23T03:10:03.8738100Z Test that autocast args such as the dtype are preserved during non-reentrant ... ok (0.004s)
2022-11-23T03:10:03.8738548Z   test_checkpointing_non_reentrant_autocast_gpu (__main__.TestAutograd)
2022-11-23T03:10:03.8739014Z Test that autocast args/kwargs such as the dtype are preserved during ... skip: Test requires CUDA bf16 support (0.001s)
2022-11-23T03:10:03.8739529Z   test_checkpointing_without_reentrant_arbitrary_input_output (__main__.TestAutograd)
2022-11-23T03:10:03.8739984Z Ensures checkpointing without reentrant autograd works with functions ... ok (0.004s)
2022-11-23T03:10:03.8740422Z   test_checkpointing_without_reentrant_correct_grad (__main__.TestAutograd)
2022-11-23T03:10:03.8740825Z Verifies that correct gradients are calculated for checkpoint ... ok (0.003s)
2022-11-23T03:10:03.8741283Z   test_checkpointing_without_reentrant_custom_function_works (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8741746Z   test_checkpointing_without_reentrant_dataparallel (__main__.TestAutograd)
2022-11-23T03:10:03.8743523Z Verifies gradient correctness when checkpoint without reentrant autograd ... /var/lib/jenkins/workspace/test/test_autograd.py:5152: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2022-11-23T03:10:03.8744626Z   b_grad = a.grad
2022-11-23T03:10:03.8746021Z /var/lib/jenkins/workspace/test/test_autograd.py:5159: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2022-11-23T03:10:03.8746952Z   c_grad = a.grad
2022-11-23T03:10:03.8747193Z ok (0.494s)
2022-11-23T03:10:03.8747584Z   test_checkpointing_without_reentrant_detached_tensor_use_reentrant_False (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8748087Z   test_checkpointing_without_reentrant_detached_tensor_use_reentrant_True (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T03:10:03.8748586Z   test_checkpointing_without_reentrant_input_requires_grad_False (__main__.TestAutograd)
2022-11-23T03:10:03.8749115Z Basic test for checkpoint without reentrant autograd. ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T03:10:03.8749639Z   test_checkpointing_without_reentrant_input_requires_grad_True (__main__.TestAutograd)
2022-11-23T03:10:03.8750139Z Basic test for checkpoint without reentrant autograd. ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T03:10:03.8750750Z   test_checkpointing_without_reentrant_memory_savings (__main__.TestAutograd) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2022-11-23T03:10:03.8751288Z   test_checkpointing_without_reentrant_parameter_used_in_an_out (__main__.TestAutograd)
2022-11-23T03:10:03.8751730Z Ensures that gradient hooks are only called once per tensor. ... ok (0.002s)
2022-11-23T03:10:03.8752146Z   test_create_graph_and_full_backward_hook_cycle (__main__.TestAutograd) ... ok (0.857s)
2022-11-23T03:10:03.8752586Z   test_current_graph_task_execution_order (__main__.TestAutograd) ... ok (0.015s)
2022-11-23T03:10:03.8752995Z   test_current_graph_task_id (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8753477Z   test_custom_autograd_no_early_free (__main__.TestAutograd) ... ok (0.015s)
2022-11-23T03:10:03.8753899Z   test_custom_autograd_repeated_grad_grad (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T03:10:03.8754309Z   test_custom_function_cycle (__main__.TestAutograd) ... ok (0.287s)
2022-11-23T03:10:03.8754699Z   test_custom_function_error (__main__.TestAutograd) ... ok (0.114s)
2022-11-23T03:10:03.8755072Z   test_custom_function_exception (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8755512Z   test_custom_function_forward_mode_forward_is_no_op (__main__.TestAutograd) ... ok (0.032s)
2022-11-23T03:10:03.8755959Z   test_custom_function_forward_mode_inplace_checks (__main__.TestAutograd) ... ok (0.011s)
2022-11-23T03:10:03.8756413Z   test_custom_function_forward_mode_non_tensor_before_tensor_args (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T03:10:03.8756871Z   test_custom_function_forward_mode_view_checks (__main__.TestAutograd) ... ok (0.021s)
2022-11-23T03:10:03.8757318Z   test_custom_function_forward_mode_wrong_formula (__main__.TestAutograd) ... ok (0.013s)
2022-11-23T03:10:03.8757744Z   test_custom_function_local_inplace (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8758127Z   test_custom_function_no_tensors (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8758707Z   test_custom_function_non_tensor_inputs_outputs (__main__.TestAutograd) ... ok (0.016s)
2022-11-23T03:10:03.8759155Z   test_custom_function_return_view_in_nograd (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T03:10:03.8759555Z   test_custom_function_save_for_forward (__main__.TestAutograd) ... ok (0.014s)
2022-11-23T03:10:03.8759969Z   test_custom_function_saved_tensors (__main__.TestAutograd) ... ok (0.009s)
2022-11-23T03:10:03.8760355Z   test_deep_reentrant (__main__.TestAutograd) ... ok (0.417s)
2022-11-23T03:10:03.8760768Z   test_default_saved_variable_hooks_double_backward (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T03:10:03.8761153Z   test_dep_nograd (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8761516Z   test_dependent_backward (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8761880Z   test_detach (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T03:10:03.8762193Z   test_detach_base (__main__.TestAutograd)
2022-11-23T03:10:03.8762526Z detaching base does not detach view ... ok (0.001s)
2022-11-23T03:10:03.8762929Z   test_detach_then_inplace_raises_in_autograd (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T03:10:03.8763663Z   test_diagonal_expanded_v (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:2277: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T03:10:03.8764320Z   v_expanded = torch.tensor(value).expand(10)
2022-11-23T03:10:03.8764610Z ok (0.002s)
2022-11-23T03:10:03.8764899Z   test_dir (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T03:10:03.8765253Z   test_disabling_saved_tensor_hooks (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T03:10:03.8765668Z   test_disabling_saved_tensor_hooks_nested (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T03:10:03.8766077Z   test_dont_materialize_grads (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8766482Z   test_duplicate_backward_root (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8766870Z   test_first_grad_fn_access_in_no_grad_mode (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T03:10:03.8767272Z   test_free_deep_graph (__main__.TestAutograd) ... ok (2.801s)
2022-11-23T03:10:03.8767660Z   test_free_deep_graph_complicated (__main__.TestAutograd) ... ok (2.025s)
2022-11-23T03:10:03.8768049Z   test_free_deep_graph_pyfunction (__main__.TestAutograd) ... ok (1.947s)
2022-11-23T03:10:03.8768464Z   test_full_backward_hook_double_backward (__main__.TestAutograd) ... ok (0.100s)
2022-11-23T03:10:03.8768847Z   test_function (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T03:10:03.8769306Z   test_function_returns_input (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T03:10:03.8769730Z   test_function_returns_undefined_tensor (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8770101Z   test_gc_in_destructor (__main__.TestAutograd)
2022-11-23T03:10:03.8770505Z Previously, if a Function destructor triggered a garbage collection, ... ok (1.424s)
2022-11-23T03:10:03.8770880Z   test_grad (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T03:10:03.8771227Z   test_grad_badcalls (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8771598Z   test_grad_batched_grad (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T03:10:03.8771955Z   test_grad_empty_inputs (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T03:10:03.8772331Z   test_grad_fn_attr_bindings (__main__.TestAutograd) ... ok (0.023s)
2022-11-23T03:10:03.8772712Z   test_grad_fn_badcalls (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8773093Z   test_grad_fn_prehooks (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T03:10:03.8773484Z   test_grad_fn_prehooks_multiple_outputs (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T03:10:03.8773907Z   test_grad_fn_prehooks_remove_hooks (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T03:10:03.8774316Z   test_grad_mode_restored_reentrant (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8776499Z   test_grad_nonleaf (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:601: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2022-11-23T03:10:03.8777607Z   self.assertIsNone(x.grad)
2022-11-23T03:10:03.8777871Z ok (0.005s)
2022-11-23T03:10:03.8778193Z   test_grad_nonleaf_many_outputs (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8779833Z   test_grad_nonleaf_register_hook (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:653: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2022-11-23T03:10:03.8780829Z   self.assertIsNone(x_list[0].grad)
2022-11-23T03:10:03.8782239Z /var/lib/jenkins/workspace/test/test_autograd.py:660: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2022-11-23T03:10:03.8783187Z   self.assertIsNone(x_list[i].grad)
2022-11-23T03:10:03.8783457Z ok (0.004s)
2022-11-23T03:10:03.8783770Z   test_grad_unreachable (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8784144Z   test_grad_unreachable_discovery (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8784570Z   test_gradcheck_backward_mul_by_grad_output (__main__.TestAutograd) ... ok (0.038s)
2022-11-23T03:10:03.8784994Z   test_gradcheck_check_batched_grad (__main__.TestAutograd) ... ok (0.068s)
2022-11-23T03:10:03.8785586Z   test_gradcheck_check_forward_or_backward_only (__main__.TestAutograd)
2022-11-23T03:10:03.8785992Z Depending on settings for check_forward_ad and check_backward_ad, the ... ok (0.037s)
2022-11-23T03:10:03.8787082Z   test_gradcheck_check_no_differentiable_outputs (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T03:10:03.8787747Z   warnings.warn(
2022-11-23T03:10:03.8787992Z ok (0.005s)
2022-11-23T03:10:03.8788312Z   test_gradcheck_complex_non_complex_outputs (__main__.TestAutograd) ... ok (0.015s)
2022-11-23T03:10:03.8789334Z   test_gradcheck_custom_error (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T03:10:03.8789980Z   warnings.warn(
2022-11-23T03:10:03.8790204Z ok (0.028s)
2022-11-23T03:10:03.8790546Z   test_gradcheck_dense_and_sparse_inputs (__main__.TestAutograd) ... ok (0.010s)
2022-11-23T03:10:03.8791062Z   test_gradcheck_forward_ad (__main__.TestAutograd) ... ok (0.213s)
2022-11-23T03:10:03.8791491Z   test_gradcheck_forward_ad_batched_grad (__main__.TestAutograd) ... ok (0.015s)
2022-11-23T03:10:03.8791909Z   test_gradcheck_forward_ad_respects_requires_grad (__main__.TestAutograd) ... ok (0.012s)
2022-11-23T03:10:03.8792365Z   test_gradcheck_forward_ad_runs_with_no_requires_grad (__main__.TestAutograd) ... ok (0.012s)
2022-11-23T03:10:03.8793747Z   test_gradcheck_get_analytical_jacobian (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:580: UserWarning: get_analytical_jacobian was part of PyTorch's private API and not meant to be exposed. We are deprecating it and it will be removed in a future version of PyTorch. If you have a specific use for this or feature request for this to be a stable API, please file us an issue at https://github.com/pytorch/pytorch/issues/new
2022-11-23T03:10:03.8794770Z   warnings.warn("get_analytical_jacobian was part of PyTorch's private API and not "
2022-11-23T03:10:03.8795102Z ok (0.018s)
2022-11-23T03:10:03.8796309Z   test_gradcheck_get_numerical_jacobian (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:173: UserWarning: get_numerical_jacobian was part of PyTorch's private API and not meant to be exposed. We are deprecating it and it will be removed in a future version of PyTorch. If you have a specific use for this or feature request for this to be a stable API, please file us an issue at https://github.com/pytorch/pytorch/issues/new
2022-11-23T03:10:03.8797318Z   warnings.warn("get_numerical_jacobian was part of PyTorch's private API and not "
2022-11-23T03:10:03.8797673Z ok (0.017s)
2022-11-23T03:10:03.8798616Z   test_gradcheck_jacobian_mismatch (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T03:10:03.8799300Z   warnings.warn(
2022-11-23T03:10:03.8799544Z ok (0.079s)
2022-11-23T03:10:03.8800499Z   test_gradcheck_multiple_mkldnn_inputs (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #1 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T03:10:03.8801153Z   warnings.warn(
2022-11-23T03:10:03.8801379Z ok (0.032s)
2022-11-23T03:10:03.8801706Z   test_gradcheck_nondeterministic (__main__.TestAutograd) ... ok (0.139s)
2022-11-23T03:10:03.8802248Z   test_gradcheck_output_shape_or_dtype_depend_on_values (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T03:10:03.8802656Z   test_gradcheck_single_input (__main__.TestAutograd) ... ok (0.023s)
2022-11-23T03:10:03.8803511Z   test_gradcheck_sparse_csr_input (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:4081: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2022-11-23T03:10:03.8804392Z   gradcheck(fn, torch.rand(2, 2, dtype=torch.double).to_sparse_csr().requires_grad_(True), check_sparse_nnz=True,
2022-11-23T03:10:03.8804788Z expected failure (0.007s)
2022-11-23T03:10:03.8805112Z   test_gradcheck_sparse_input (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T03:10:03.8806131Z   test_gradcheck_test_outputs (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T03:10:03.8806773Z   warnings.warn(
2022-11-23T03:10:03.8807093Z ok (0.003s)
2022-11-23T03:10:03.8807409Z   test_gradcheck_undefined_grad (__main__.TestAutograd) ... ok (0.020s)
2022-11-23T03:10:03.8807823Z   test_gradcheck_validates_input_mkldnn (__main__.TestAutograd) ... ok (0.017s)
2022-11-23T03:10:03.8808241Z   test_gradcheck_validates_inputs (__main__.TestAutograd) ... ok (0.018s)
2022-11-23T03:10:03.8808635Z   test_graph_save_on_cpu (__main__.TestAutograd) ... ok (0.023s)
2022-11-23T03:10:03.8808994Z   test_graph_save_on_cpu_cuda (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8809371Z   test_hessian_vector (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T03:10:03.8809734Z   test_hook_none (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8810067Z   test_hook_with_no_name (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T03:10:03.8810427Z   test_hooks (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T03:10:03.8810771Z   test_hooks_cpp (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8811147Z   test_index_backward_does_not_save_tensor (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8811537Z   test_indexing (__main__.TestAutograd) ... ok (0.031s)
2022-11-23T03:10:03.8811906Z   test_indexing_duplicates (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T03:10:03.8812267Z   test_inplace (__main__.TestAutograd) ... ok (0.031s)
2022-11-23T03:10:03.8812617Z   test_inplace_not_requires_grad (__main__.TestAutograd) ... ok (0.013s)
2022-11-23T03:10:03.8813017Z   test_inplace_on_view_backward (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T03:10:03.8813422Z   test_inplace_on_view_leaf_errors (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T03:10:03.8813817Z   test_inplace_on_view_saved_output (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8814220Z   test_inplace_on_view_weak_grad_fn (__main__.TestAutograd) ... ok (0.148s)
2022-11-23T03:10:03.8814604Z   test_input_buffer_accum (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8814956Z   test_integer_outputs (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T03:10:03.8815333Z   test_invalid_gradients (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T03:10:03.8815706Z   test_isolated_node (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8816540Z   test_leaf_assignment (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8816991Z   test_legacy_function_deprecation_exception (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8818172Z   test_lobpcg (__main__.TestAutograd) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80338 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s)
2022-11-23T03:10:03.8819120Z   test_mark_non_differentiable (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8819529Z   test_mark_non_differentiable_mixed (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8819924Z   test_mark_non_differentiable_none (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8820321Z   test_materialize_grads (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8820702Z   test_multi_backward (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8821062Z   test_multi_backward_no_grad (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8821443Z   test_multi_grad_hooks (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T03:10:03.8822574Z   test_named_tensor_for_complex_views (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/_tensor.py:1093: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1787.)
2022-11-23T03:10:03.8823347Z   return super(Tensor, self).refine_names(names)
2022-11-23T03:10:03.8823615Z ok (0.002s)
2022-11-23T03:10:03.8824081Z   test_naughty_anomaly_access (__main__.TestAutograd) ... expected failure (0.003s)
2022-11-23T03:10:03.8824536Z   test_naughty_autograd_function_attribute_access (__main__.TestAutograd) ... ok (0.014s)
2022-11-23T03:10:03.8824984Z   test_naughty_autograd_function_stashing_ctx (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8825377Z   test_nested_anomaly_detect_nan (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T03:10:03.8825798Z   test_nested_anomaly_printstack_cleanup (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8826194Z   test_next_functions (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8826535Z   test_no_grad (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8826898Z   test_no_grad_assignment (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T03:10:03.8827274Z   test_no_grad_copy (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8828246Z   test_no_grad_copy_sparse (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2327: UserWarning: Argument order of nn.functional.embedding_bag was changed. Usage `embedding_bag(weight, input, ...)` is deprecated, and should now be `embedding_bag(input, weight, ...)`.
2022-11-23T03:10:03.8828844Z   warnings.warn(
2022-11-23T03:10:03.8829091Z ok (0.010s)
2022-11-23T03:10:03.8829392Z   test_no_grad_input (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T03:10:03.8829758Z   test_no_grad_modifies_version (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T03:10:03.8830139Z   test_no_grad_python_function (__main__.TestAutograd)
2022-11-23T03:10:03.8830507Z Python Functions should respect grad mode. ... ok (0.002s)
2022-11-23T03:10:03.8830900Z   test_no_requires_grad_inplace (__main__.TestAutograd) ... ok (0.009s)
2022-11-23T03:10:03.8831265Z   test_no_unnecessary_save (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8831666Z   test_no_unnecessary_unwrapping (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T03:10:03.8832068Z   test_not_implemented_fwad (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T03:10:03.8832433Z   test_not_implemented_grad (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T03:10:03.8832822Z   test_numpy_requires_grad (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8833199Z   test_once_differentiable (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8833599Z   test_out_variant_raises_when_inputs_require_grad (__main__.TestAutograd) ... ok (0.009s)
2022-11-23T03:10:03.8834058Z   test_pack_hook_with_inplace_modification_should_fail (__main__.TestAutograd) ... ok (0.009s)
2022-11-23T03:10:03.8834458Z   test_pickle (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T03:10:03.8834927Z   test_pow_zero_tensor_gradient (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8835294Z   test_power_function (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8835931Z   test_profiler (__main__.TestAutograd) ... STAGE:2022-11-23 03:09:34 7826:7826 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T03:10:03.8836580Z STAGE:2022-11-23 03:09:34 7826:7826 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T03:10:03.8837188Z STAGE:2022-11-23 03:09:34 7826:7826 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T03:10:03.8837532Z ok (0.324s)
2022-11-23T03:10:03.8837856Z   test_profiler_aggregation_fake (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8838517Z   test_profiler_aggregation_lstm (__main__.TestAutograd) ... STAGE:2022-11-23 03:09:34 7826:7826 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T03:10:03.8839151Z STAGE:2022-11-23 03:09:34 7826:7826 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T03:10:03.8839758Z STAGE:2022-11-23 03:09:34 7826:7826 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T03:10:03.8840042Z 
2022-11-23T03:10:03.8840222Z ===================================================================================================================================================================
2022-11-23T03:10:03.8840583Z TEST
2022-11-23T03:10:03.8841195Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T03:10:03.8841816Z                          Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                                      Input Shapes  
2022-11-23T03:10:03.8842550Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T03:10:03.8843152Z                    aten::lstm         0.94%     323.000us         5.06%       1.748ms       1.748ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8843553Z                    aten::lstm         0.94%     323.000us         5.02%       1.734ms       1.734ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8843926Z                    aten::lstm         0.93%     320.000us         4.92%       1.699ms       1.699ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8844417Z                    aten::lstm         0.90%     310.000us         4.87%       1.681ms       1.681ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8844814Z                    aten::lstm         0.87%     302.000us         5.13%       1.770ms       1.770ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8845208Z                    aten::lstm         0.85%     292.000us         4.69%       1.620ms       1.620ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8845599Z                    aten::lstm         0.84%     291.000us         4.64%       1.603ms       1.603ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8845969Z                    aten::lstm         0.83%     288.000us         4.79%       1.654ms       1.654ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8846357Z                    aten::lstm         0.82%     282.000us         4.58%       1.581ms       1.581ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8846753Z                    aten::lstm         0.80%     276.000us         4.87%       1.682ms       1.682ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8847439Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T03:10:03.8848000Z Self CPU time total: 34.528ms
2022-11-23T03:10:03.8848157Z 
2022-11-23T03:10:03.8848634Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T03:10:03.8849238Z                          Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                                      Input Shapes  
2022-11-23T03:10:03.8849961Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T03:10:03.8850508Z                    aten::lstm        15.98%       5.516ms        97.74%      33.746ms       1.687ms            20      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8850910Z                   aten::addmm        10.24%       3.534ms        13.17%       4.547ms      22.735us           200                 [[80], [3, 20], [20, 80], [], []]  
2022-11-23T03:10:03.8851296Z                     aten::mul         8.59%       2.967ms         8.59%       2.967ms       4.945us           600                                [[3, 20], [3, 20]]  
2022-11-23T03:10:03.8851760Z                aten::sigmoid_         7.79%       2.691ms         7.79%       2.691ms       4.485us           600                                         [[3, 20]]  
2022-11-23T03:10:03.8852184Z            aten::unsafe_split         5.62%       1.942ms        15.84%       5.468ms      27.340us           200                                 [[3, 80], [], []]  
2022-11-23T03:10:03.8852597Z                  aten::narrow         5.02%       1.732ms        10.18%       3.516ms       4.395us           800                             [[3, 80], [], [], []]  
2022-11-23T03:10:03.8852993Z                   aten::slice         4.48%       1.548ms         5.18%       1.790ms       2.237us           800                         [[3, 80], [], [], [], []]  
2022-11-23T03:10:03.8853371Z                    aten::tanh         3.39%       1.170ms         3.39%       1.170ms       5.850us           200                                         [[3, 20]]  
2022-11-23T03:10:03.8853778Z                   aten::tanh_         3.30%       1.140ms         3.30%       1.140ms       5.700us           200                                         [[3, 20]]  
2022-11-23T03:10:03.8854178Z                  aten::linear         3.09%       1.067ms        20.32%       7.017ms      35.085us           200                         [[3, 20], [80, 20], [80]]  
2022-11-23T03:10:03.8854870Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T03:10:03.8855347Z Self CPU time total: 34.528ms
2022-11-23T03:10:03.8855505Z 
2022-11-23T03:10:03.8855692Z ===================================================================================================================================================================
2022-11-23T03:10:03.8855975Z TEST
2022-11-23T03:10:03.8856844Z ===================================================================================================================================================================
2022-11-23T03:10:03.8857436Z This report only display top-level ops statistics
2022-11-23T03:10:03.8858114Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T03:10:03.8858718Z                          Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                                      Input Shapes  
2022-11-23T03:10:03.8859439Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T03:10:03.8860166Z                    aten::lstm         0.94%     323.000us         5.06%       1.748ms       1.748ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8860536Z                    aten::lstm         0.94%     323.000us         5.02%       1.734ms       1.734ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8860930Z                    aten::lstm         0.93%     320.000us         4.92%       1.699ms       1.699ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8861334Z                    aten::lstm         0.90%     310.000us         4.87%       1.681ms       1.681ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8861722Z                    aten::lstm         0.87%     302.000us         5.13%       1.770ms       1.770ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8862105Z                    aten::lstm         0.85%     292.000us         4.69%       1.620ms       1.620ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8862474Z                    aten::lstm         0.84%     291.000us         4.64%       1.603ms       1.603ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8862935Z                    aten::lstm         0.83%     288.000us         4.79%       1.654ms       1.654ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8863340Z                    aten::lstm         0.82%     282.000us         4.58%       1.581ms       1.581ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8863720Z                    aten::lstm         0.80%     276.000us         4.87%       1.682ms       1.682ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8864399Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T03:10:03.8864856Z Self CPU time total: 34.528ms
2022-11-23T03:10:03.8865034Z 
2022-11-23T03:10:03.8865209Z ===================================================================================================================================================================
2022-11-23T03:10:03.8865622Z This report only display top-level ops statistics
2022-11-23T03:10:03.8866284Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T03:10:03.8866865Z                          Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                                      Input Shapes  
2022-11-23T03:10:03.8867601Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T03:10:03.8868157Z                    aten::lstm        15.98%       5.516ms        97.74%      33.746ms       1.687ms            20      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T03:10:03.8868551Z                   aten::randn         1.16%     401.000us         2.24%     774.000us      12.900us            60                              [[], [], [], [], []]  
2022-11-23T03:10:03.8869222Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T03:10:03.8869672Z Self CPU time total: 34.528ms
2022-11-23T03:10:03.8869848Z 
2022-11-23T03:10:03.8870020Z Total time based on python measurements:  37.465ms
2022-11-23T03:10:03.8870380Z CPU time measurement python side overhead: 8.51%
2022-11-23T03:10:03.8870652Z ok (2.019s)
2022-11-23T03:10:03.8870955Z   test_profiler_aggregation_table (__main__.TestAutograd)
2022-11-23T03:10:03.8871726Z Test if the profiling result is aggregated for `str(prof)` ... STAGE:2022-11-23 03:09:36 7826:7826 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T03:10:03.8872393Z STAGE:2022-11-23 03:09:36 7826:7826 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T03:10:03.8872972Z STAGE:2022-11-23 03:09:36 7826:7826 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T03:10:03.8873343Z ok (0.005s)
2022-11-23T03:10:03.8873674Z   test_profiler_function_event_avg (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8874318Z   test_profiler_propagation (__main__.TestAutograd) ... STAGE:2022-11-23 03:09:36 7826:7826 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T03:10:03.8874975Z STAGE:2022-11-23 03:09:36 7826:7826 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T03:10:03.8875579Z STAGE:2022-11-23 03:09:36 7826:7826 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T03:10:03.8875950Z ok (0.084s)
2022-11-23T03:10:03.8876930Z   test_profiler_seq_nr (__main__.TestAutograd) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/66893 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T03:10:03.8878037Z   test_profiler_shapes (__main__.TestAutograd) ... STAGE:2022-11-23 03:09:36 7826:7826 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T03:10:03.8878697Z STAGE:2022-11-23 03:09:36 7826:7826 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T03:10:03.8879303Z STAGE:2022-11-23 03:09:36 7826:7826 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T03:10:03.8879582Z 
2022-11-23T03:10:03.8880037Z ----------------------  ------------  ------------  ------------  ------------  ------------  ------------  ---------------------------------------  
2022-11-23T03:10:03.8880599Z                   Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                             Input Shapes  
2022-11-23T03:10:03.8881297Z ----------------------  ------------  ------------  ------------  ------------  ------------  ------------  ---------------------------------------  
2022-11-23T03:10:03.8881848Z           aten::linear         2.94%      12.000us        40.93%     167.000us     167.000us             1              [[128, 20], [30, 20], [30]]  
2022-11-23T03:10:03.8882248Z                aten::t         7.35%      30.000us        12.01%      49.000us      49.000us             1                               [[30, 20]]  
2022-11-23T03:10:03.8882628Z        aten::transpose         3.43%      14.000us         4.66%      19.000us      19.000us             1                       [[30, 20], [], []]  
2022-11-23T03:10:03.8883029Z       aten::as_strided         1.23%       5.000us         1.23%       5.000us       5.000us             1                   [[30, 20], [], [], []]  
2022-11-23T03:10:03.8883436Z            aten::addmm        19.85%      81.000us        25.98%     106.000us     106.000us             1      [[30], [128, 20], [20, 30], [], []]  
2022-11-23T03:10:03.8883842Z           aten::expand         1.23%       5.000us         1.47%       6.000us       6.000us             1                           [[30], [], []]  
2022-11-23T03:10:03.8884245Z       aten::as_strided         0.25%       1.000us         0.25%       1.000us       1.000us             1                       [[30], [], [], []]  
2022-11-23T03:10:03.8884625Z            aten::copy_         4.41%      18.000us         4.41%      18.000us      18.000us             1               [[128, 30], [128, 30], []]  
2022-11-23T03:10:03.8885025Z     aten::resolve_conj         0.25%       1.000us         0.25%       1.000us       1.000us             1                              [[128, 30]]  
2022-11-23T03:10:03.8885434Z     aten::resolve_conj         0.00%       0.000us         0.00%       0.000us       0.000us             1                              [[128, 20]]  
2022-11-23T03:10:03.8885925Z           aten::linear         0.98%       4.000us        59.07%     241.000us     241.000us             1              [[128, 30], [40, 30], [40]]  
2022-11-23T03:10:03.8886317Z                aten::t         1.72%       7.000us         2.94%      12.000us      12.000us             1                               [[40, 30]]  
2022-11-23T03:10:03.8886690Z        aten::transpose         0.98%       4.000us         1.23%       5.000us       5.000us             1                       [[40, 30], [], []]  
2022-11-23T03:10:03.8887096Z       aten::as_strided         0.25%       1.000us         0.25%       1.000us       1.000us             1                   [[40, 30], [], [], []]  
2022-11-23T03:10:03.8887486Z            aten::addmm        52.94%     216.000us        55.15%     225.000us     225.000us             1      [[40], [128, 30], [30, 40], [], []]  
2022-11-23T03:10:03.8887888Z           aten::expand         0.49%       2.000us         0.49%       2.000us       2.000us             1                           [[40], [], []]  
2022-11-23T03:10:03.8888280Z       aten::as_strided         0.00%       0.000us         0.00%       0.000us       0.000us             1                       [[40], [], [], []]  
2022-11-23T03:10:03.8888718Z            aten::copy_         1.72%       7.000us         1.72%       7.000us       7.000us             1               [[128, 40], [128, 40], []]  
2022-11-23T03:10:03.8889135Z     aten::resolve_conj         0.00%       0.000us         0.00%       0.000us       0.000us             1                              [[128, 40]]  
2022-11-23T03:10:03.8889539Z     aten::resolve_conj         0.00%       0.000us         0.00%       0.000us       0.000us             1                              [[128, 30]]  
2022-11-23T03:10:03.8890204Z ----------------------  ------------  ------------  ------------  ------------  ------------  ------------  ---------------------------------------  
2022-11-23T03:10:03.8890665Z Self CPU time total: 408.000us
2022-11-23T03:10:03.8890822Z 
2022-11-23T03:10:03.8890926Z ok (0.007s)
2022-11-23T03:10:03.8891517Z   test_profiler_unboxed_only (__main__.TestAutograd) ... STAGE:2022-11-23 03:09:36 7826:7826 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T03:10:03.8892171Z STAGE:2022-11-23 03:09:36 7826:7826 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T03:10:03.8892774Z STAGE:2022-11-23 03:09:36 7826:7826 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T03:10:03.8893111Z ok (0.003s)
2022-11-23T03:10:03.8893439Z   test_pynode_destruction_deadlock (__main__.TestAutograd) ... ok (2.450s)
2022-11-23T03:10:03.8894094Z   test_record_function (__main__.TestAutograd) ... STAGE:2022-11-23 03:09:38 7826:7826 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T03:10:03.8894715Z STAGE:2022-11-23 03:09:38 7826:7826 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T03:10:03.8895333Z STAGE:2022-11-23 03:09:38 7826:7826 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T03:10:03.8895920Z STAGE:2022-11-23 03:09:38 7826:7826 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T03:10:03.8897101Z STAGE:2022-11-23 03:09:38 7826:7826 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T03:10:03.8897685Z STAGE:2022-11-23 03:09:38 7826:7826 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T03:10:03.8898063Z ok (0.009s)
2022-11-23T03:10:03.8898653Z   test_record_function_callbacks (__main__.TestAutograd) ... STAGE:2022-11-23 03:09:38 7826:7826 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T03:10:03.8899287Z STAGE:2022-11-23 03:09:38 7826:7826 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T03:10:03.8899885Z STAGE:2022-11-23 03:09:38 7826:7826 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T03:10:03.8900450Z ok (0.005s)
2022-11-23T03:10:03.8901035Z   test_record_function_legacy (__main__.TestAutograd) ... STAGE:2022-11-23 03:09:38 7826:7826 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T03:10:03.8901952Z STAGE:2022-11-23 03:09:38 7826:7826 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T03:10:03.8902535Z STAGE:2022-11-23 03:09:38 7826:7826 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T03:10:03.8902893Z ok (0.005s)
2022-11-23T03:10:03.8903214Z   test_record_function_multithreaded (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T03:10:03.8903636Z   test_reentrant_child_error (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8904022Z   test_reentrant_priority (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T03:10:03.8904431Z   test_reentrant_with_callbacks_both_depths (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8904842Z   test_reentrant_with_callbacks_depth_0 (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8905259Z   test_reentrant_with_callbacks_depth_1 (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8905727Z   test_reentrant_with_leaf_variable_hook (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8906075Z   test_reentrant_with_non_leaf_variable_hook (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8906597Z   test_requires_grad (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8906978Z   test_requires_grad_ (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8907352Z   test_requires_grad_inplace (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T03:10:03.8907705Z   test_retain_grad (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8908064Z   test_retain_grad_cycle (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8908441Z   test_retain_grad_inplace (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8908817Z   test_retain_grad_inplace_over_view (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8909215Z   test_return_duplicate (__main__.TestAutograd) ... ok (0.009s)
2022-11-23T03:10:03.8909607Z   test_return_duplicate_inplace (__main__.TestAutograd) ... ok (0.009s)
2022-11-23T03:10:03.8909963Z   test_return_leaf (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8910338Z   test_return_leaf_inplace (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8910719Z   test_save_none_for_backward (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8911111Z   test_save_on_cpu_and_checkpoint (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T03:10:03.8911476Z   test_save_output_nr (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8911935Z   test_saved_variable_packing_unpacking_did_not_save_original_with_default_hooks (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8912498Z   test_saved_variable_packing_unpacking_did_not_save_original_with_hooks (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8912972Z   test_saved_variable_packing_unpacking_saved_original_with_default_hooks (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T03:10:03.8913477Z   test_saved_variable_packing_unpacking_saved_original_with_hooks (__main__.TestAutograd) ... ok (0.019s)
2022-11-23T03:10:03.8913944Z   test_saved_variable_saved_original_inplace_detach (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T03:10:03.8914377Z   test_saved_variable_version_counter (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8914766Z   test_saved_variables_deprecated (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8915167Z   test_saving_variable_to_disk (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T03:10:03.8915553Z   test_select_expanded_v (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8915898Z   test_select_sum (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T03:10:03.8916269Z   test_set_data_preserve_pyobj (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T03:10:03.8916666Z   test_set_data_self_requires_grad (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8917177Z   test_set_data_tensorimpl_type (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T03:10:03.8917545Z   test_set_grad_coroutines (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8917950Z   test_set_grad_coroutines_benign_exceptions (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8918399Z   test_set_grad_coroutines_critical_exceptions (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8918800Z   test_set_grad_coroutines_exit (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8919182Z   test_set_grad_enabled (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T03:10:03.8919575Z   test_set_grad_generator_functions (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8919995Z   test_set_grad_generator_functions_recursive (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8920359Z   test_setitem (__main__.TestAutograd) ... ok (0.023s)
2022-11-23T03:10:03.8920712Z   test_setitem_mask (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T03:10:03.8921146Z   test_setting_default_saved_variable_hooks_twice_should_not_fail (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T03:10:03.8921616Z   test_setting_default_saved_variable_hooks_twice_should_use_inner (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8922031Z   test_shape (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T03:10:03.8922457Z   test_sharded_grad (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T03:10:03.8922829Z   test_simple_reentrant (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8923174Z   test_slice_expanded_v (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8923556Z   test_sparse_gather_both_scalar (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8923945Z   test_sparse_gather_dim0 (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8924296Z   test_sparse_gather_dim1 (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8924676Z   test_sparse_gather_dim_neg (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8925074Z   test_sparse_gather_ind_scalar (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8925446Z   test_sparse_gather_x_scalar (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8925835Z   test_sparse_mm_backward (__main__.TestAutograd) ... ok (0.011s)
2022-11-23T03:10:03.8926461Z   test_symeig_no_eigenvectors (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:3933: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2022-11-23T03:10:03.8927196Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2022-11-23T03:10:03.8927616Z L, _ = torch.symeig(A, upper=upper)
2022-11-23T03:10:03.8927901Z should be replaced with
2022-11-23T03:10:03.8928363Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2022-11-23T03:10:03.8928639Z and
2022-11-23T03:10:03.8928922Z L, V = torch.symeig(A, eigenvectors=True)
2022-11-23T03:10:03.8929215Z should be replaced with
2022-11-23T03:10:03.8929865Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2909.)
2022-11-23T03:10:03.8930345Z   w, v = torch.symeig(A, eigenvectors=False)
2022-11-23T03:10:03.8930634Z ok (0.008s)
2022-11-23T03:10:03.8930945Z   test_tensor_grad_warnings (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8931301Z   test_thread_shutdown (__main__.TestAutograd) ... ok (4.123s)
2022-11-23T03:10:03.8931662Z   test_too_many_grads (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8932019Z   test_type_conversions (__main__.TestAutograd) ... ok (0.020s)
2022-11-23T03:10:03.8932366Z   test_unrelated_inputs (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T03:10:03.8932726Z   test_unused_output (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T03:10:03.8933102Z   test_var_mean_differentiable (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T03:10:03.8933590Z   test_variable_traverse (__main__.TestAutograd) ... ok (0.193s)
2022-11-23T03:10:03.8933933Z   test_version_counter (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T03:10:03.8934301Z   test_volatile_deprecated (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T03:10:03.8934686Z   test_will_engine_execute_node (__main__.TestAutograd) ... ok (0.010s)
2022-11-23T03:10:03.8935087Z   test_wrapped_number_saved_variable_hooks (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T03:10:03.8935558Z   test_view_func_for_complex_views (autograd.test_complex.TestAutogradComplex) ... ok (0.005s)
2022-11-23T03:10:03.8936458Z   test_view_with_multi_output (autograd.test_complex.TestAutogradComplex) ... ok (0.010s)
2022-11-23T03:10:03.8937108Z   test_advanced_indexing_backwards_large_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.154s)
2022-11-23T03:10:03.8937606Z   test_advanced_indexing_backwards_memory_format_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:10:03.8938147Z   test_backward_device_cuda (__main__.TestAutogradDeviceTypeCUDA) ... skip: fewer than 2 devices detected (0.002s)
2022-11-23T03:10:03.8938643Z   test_copy__cuda (__main__.TestAutogradDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:10:03.8939102Z   test_copy_forward_ad_broadcasting_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:10:03.8939763Z   test_copy_forward_ad_same_layout_copies_grad_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:10:03.8940242Z   test_copy_r_to_c_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:10:03.8940710Z   test_cross_device_reentrant_autograd_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:10:03.8941170Z   test_free_unneeded_tensor_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:10:03.8941621Z   test_grad_assignment_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T03:10:03.8942112Z   test_gradcheck_input_output_different_device_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T03:10:03.8942624Z   test_inplace_multiple_output_view_of_view_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:10:03.8943098Z   test_inplace_on_view_backprop_base_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:10:03.8944952Z   test_inplace_on_view_backprop_view_cuda (__main__.TestAutogradDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_autograd.py:8638: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2022-11-23T03:10:03.8946015Z   self.assertIsNone(a.grad)
2022-11-23T03:10:03.8946276Z ok (0.004s)
2022-11-23T03:10:03.8946636Z   test_inplace_on_view_backprop_view_of_view_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:10:03.8948007Z   test_inplace_on_view_gradcheck_cuda (__main__.TestAutogradDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:1575: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestAutogradDeviceTypeCUDA.test_inplace_on_view_gradcheck_cuda! Caching allocator allocated memory was 0 and is now reported as 14336 on device 0. CUDA driver allocated memory was 594280448 and is now 546045952.
2022-11-23T03:10:03.8948832Z   warnings.warn(msg)
2022-11-23T03:10:03.8949080Z ok (0.199s)
2022-11-23T03:10:03.8949456Z   test_inplace_on_view_makes_base_require_grad_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.163s)
2022-11-23T03:10:03.8950067Z   test_inplace_on_view_modify_base_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.165s)
2022-11-23T03:10:03.8950551Z   test_inplace_on_view_multi_output_safe_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.162s)
2022-11-23T03:10:03.8951058Z   test_inplace_on_view_multi_output_unsafe_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:10:03.8951539Z   test_inplace_on_view_multiple_outputs_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:10:03.8952038Z   test_inplace_on_view_non_contig_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.148s)
2022-11-23T03:10:03.8952538Z   test_inplace_on_view_of_multiple_output_view_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:10:03.8953032Z   test_inplace_on_view_of_view_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:10:03.8953481Z   test_inplace_on_view_python_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.181s)
2022-11-23T03:10:03.8953968Z   test_inplace_on_view_then_no_grad_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:10:03.8954516Z   test_inputbuffer_add_multidevice_cuda (__main__.TestAutogradDeviceTypeCUDA) ... skip: fewer than 2 devices detected (0.147s)
2022-11-23T03:10:03.8955071Z   test_min_max_median_backprops_to_all_values_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.153s)
2022-11-23T03:10:03.8955631Z   test_mv_grad_stride_0_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.163s)
2022-11-23T03:10:03.8956105Z   test_non_differentiable_ops_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:10:03.8956573Z   test_parameter_resize_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.148s)
2022-11-23T03:10:03.8957001Z   test_pin_memory_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.152s)
2022-11-23T03:10:03.8957448Z   test_profiler_emit_itt_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.147s)
2022-11-23T03:10:03.8957957Z   test_profiler_emit_nvtx_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.147s)
2022-11-23T03:10:03.8958429Z   test_pyscalar_conversions_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:10:03.8958893Z   test_reentrant_parent_error_on_cpu_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.437s)
2022-11-23T03:10:03.8959382Z   test_requires_grad_factory_cuda_float32 (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.147s)
2022-11-23T03:10:03.8959863Z   test_requires_grad_factory_cuda_float64 (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.148s)
2022-11-23T03:10:03.8960348Z   test_rnn_backward_to_input_but_not_parameters_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.503s)
2022-11-23T03:10:03.8961573Z   test_scatter_index_reduce_amin_amax_backprops_to_all_values_cuda (__main__.TestAutogradDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:1427: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1681.)
2022-11-23T03:10:03.8962320Z   func_out = func(*tupled_inputs)
2022-11-23T03:10:03.8963123Z /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:1427: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/Indexing.cu:1047.)
2022-11-23T03:10:03.8963685Z   func_out = func(*tupled_inputs)
2022-11-23T03:10:03.8963929Z ok (0.176s)
2022-11-23T03:10:03.8964327Z   test_scatter_index_reduce_prod_gradgrad_error_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.189s)
2022-11-23T03:10:03.8964855Z   test_set_requires_grad_only_for_floats_cuda_float16 (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:10:03.8965359Z   test_set_requires_grad_only_for_floats_cuda_float32 (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.148s)
2022-11-23T03:10:03.8965863Z   test_set_requires_grad_only_for_floats_cuda_float64 (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.148s)
2022-11-23T03:10:03.8966471Z   test_set_requires_grad_only_for_floats_cuda_int16 (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:10:03.8966974Z   test_set_requires_grad_only_for_floats_cuda_int32 (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:10:03.8967451Z   test_set_requires_grad_only_for_floats_cuda_int64 (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:10:03.8967958Z   test_set_requires_grad_only_for_floats_cuda_int8 (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:10:03.8968450Z   test_simple_reentrant_cross_device_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:10:03.8968933Z   test_sparse_backward_cuda_complex128 (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.160s)
2022-11-23T03:10:03.8969391Z   test_sparse_backward_cuda_float64 (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.155s)
2022-11-23T03:10:03.8969893Z   test_sparse_ctor_getter_backward_cuda_complex128 (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.812s)
2022-11-23T03:10:03.8970409Z   test_sparse_ctor_getter_backward_cuda_float64 (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.204s)
2022-11-23T03:10:03.8970871Z   test_sparse_mask_autograd_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.154s)
2022-11-23T03:10:03.8971347Z   test_strided_leaf_grad_layout_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.156s)
2022-11-23T03:10:03.8971870Z   test_to_r_to_c_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:10:03.8972381Z   test_unused_output_device_cuda (__main__.TestAutogradDeviceTypeCUDA) ... skip: fewer than 2 devices detected (0.148s)
2022-11-23T03:10:03.8972870Z   test_warning_in_backward_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.154s)
2022-11-23T03:10:03.8973326Z   test_where_functional_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.178s)
2022-11-23T03:10:03.8973781Z   test_where_scalar_cuda (__main__.TestAutogradDeviceTypeCUDA) ... ok (0.180s)
2022-11-23T03:10:03.8974867Z   test_advanced_packing_unpacking (__main__.TestAutogradForwardMode) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:10:03.8975607Z   warnings.warn(message, UserWarning)
2022-11-23T03:10:03.8975884Z ok (0.007s)
2022-11-23T03:10:03.8976774Z   test_backward_graph_destruction (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T03:10:03.8977196Z   test_basic_packing_unpacking (__main__.TestAutogradForwardMode) ... ok (0.003s)
2022-11-23T03:10:03.8977664Z   test_codegen_ignores_undefined_outputs (__main__.TestAutogradForwardMode) ... ok (0.027s)
2022-11-23T03:10:03.8978128Z   test_create_new_zeros_with_same_meta (__main__.TestAutogradForwardMode) ... ok (0.012s)
2022-11-23T03:10:03.8978567Z   test_default_level (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T03:10:03.8978976Z   test_detach_view_tracking (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T03:10:03.8979425Z   test_forward_level_cleanup (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T03:10:03.8979860Z   test_grad_cleanup (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T03:10:03.8980285Z   test_make_dual_forbid_integral_dtype (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T03:10:03.8980775Z   test_make_dual_inference_tensor_in_inference_mode (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T03:10:03.8981250Z   test_make_dual_torch_dispatch (__main__.TestAutogradForwardMode) ... ok (0.003s)
2022-11-23T03:10:03.8981696Z   test_metadata_check_check_conj (__main__.TestAutogradForwardMode) ... ok (0.003s)
2022-11-23T03:10:03.8982147Z   test_metadata_check_checks_ignores_size_zero (__main__.TestAutogradForwardMode) ... ok (0.006s)
2022-11-23T03:10:03.8982629Z   test_metadata_check_checks_storage_numel (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T03:10:03.8983136Z   test_metadata_check_ignore_storage_offset_for_zero_numel_tensor (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T03:10:03.8983844Z   test_metadata_check_when_primal_has_conj_bit (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T03:10:03.8984302Z   test_metadata_check_when_primal_has_neg_bit (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T03:10:03.8984747Z   test_nested_level (__main__.TestAutogradForwardMode) ... ok (0.003s)
2022-11-23T03:10:03.8985169Z   test_non_differentiable (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T03:10:03.8985564Z   test_out_variant (__main__.TestAutogradForwardMode) ... ok (0.007s)
2022-11-23T03:10:03.8985955Z   test_print (__main__.TestAutogradForwardMode) ... ok (0.004s)
2022-11-23T03:10:03.8986402Z   test_set_fw_grad_having_own_fw_grad_at_same_level (__main__.TestAutogradForwardMode) ... ok (0.005s)
2022-11-23T03:10:03.8986840Z   test_size_check (__main__.TestAutogradForwardMode) ... ok (0.006s)
2022-11-23T03:10:03.8987260Z   test_view_inplace_always_creates_a_view (__main__.TestAutogradForwardMode) ... ok (0.005s)
2022-11-23T03:10:03.8987727Z   test_view_inplace_differentiable_views (__main__.TestAutogradForwardMode) ... ok (0.005s)
2022-11-23T03:10:03.8988199Z   test_view_inplace_non_differentiable_views (__main__.TestAutogradForwardMode) ... ok (0.005s)
2022-11-23T03:10:03.8988785Z   test_inplace_on_view_not_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.002s)
2022-11-23T03:10:03.8989314Z   test_inplace_on_view_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.002s)
2022-11-23T03:10:03.8989853Z   test_metadata_check_for_storage_numel_skipped (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.006s)
2022-11-23T03:10:03.8990361Z   test_out_of_place_basic (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.012s)
2022-11-23T03:10:03.8990845Z   test_out_of_place_not_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.002s)
2022-11-23T03:10:03.8991381Z   test_construct_standard_basis_for_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s)
2022-11-23T03:10:03.8991958Z   test_construct_standard_basis_for_cuda_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.8992530Z   test_construct_standard_basis_for_cuda_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2022-11-23T03:10:03.8993078Z   test_construct_standard_basis_for_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.023s)
2022-11-23T03:10:03.8993658Z   test_hessian_create_graph_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.220s)
2022-11-23T03:10:03.8994246Z   test_hessian_create_graph_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (1.786s)
2022-11-23T03:10:03.8994810Z   test_hessian_create_graph_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.111s)
2022-11-23T03:10:03.8995399Z   test_hessian_create_graph_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.785s)
2022-11-23T03:10:03.8995959Z   test_hessian_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T03:10:03.8996502Z   test_hessian_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.016s)
2022-11-23T03:10:03.8997052Z   test_hessian_err_check_strict_vectorize_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T03:10:03.8997640Z   test_hessian_err_check_strict_vectorize_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T03:10:03.8998210Z   test_hessian_err_check_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2022-11-23T03:10:03.8998793Z   test_hessian_err_check_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.030s)
2022-11-23T03:10:03.8999440Z   test_hessian_err_check_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T03:10:03.9000008Z   test_hessian_err_check_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.015s)
2022-11-23T03:10:03.9000561Z   test_hessian_match_vhp_hvp_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9001110Z   test_hessian_match_vhp_hvp_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.020s)
2022-11-23T03:10:03.9001630Z   test_hessian_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T03:10:03.9002154Z   test_hessian_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.019s)
2022-11-23T03:10:03.9002686Z   test_hessian_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T03:10:03.9003209Z   test_hessian_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.026s)
2022-11-23T03:10:03.9003737Z   test_hessian_output_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T03:10:03.9004292Z   test_hessian_output_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.014s)
2022-11-23T03:10:03.9004930Z   test_hessian_scalar_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9005513Z   test_hessian_scalar_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.017s)
2022-11-23T03:10:03.9006057Z   test_hessian_scalar_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T03:10:03.9006622Z   test_hessian_scalar_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s)
2022-11-23T03:10:03.9007343Z   test_hessian_vectorize_correctness_multi_input_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.023s)
2022-11-23T03:10:03.9007878Z   test_hessian_vectorize_correctness_multi_input_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.221s)
2022-11-23T03:10:03.9008473Z   test_hessian_vectorize_correctness_simple_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.011s)
2022-11-23T03:10:03.9009075Z   test_hessian_vectorize_correctness_simple_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.067s)
2022-11-23T03:10:03.9009689Z   test_hessian_vectorize_correctness_unrelated_outputs_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s)
2022-11-23T03:10:03.9010290Z   test_hessian_vectorize_correctness_unrelated_outputs_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.062s)
2022-11-23T03:10:03.9010889Z   test_hessian_vectorize_raises_no_warnings_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T03:10:03.9011478Z   test_hessian_vectorize_raises_no_warnings_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T03:10:03.9012039Z   test_hvp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.136s)
2022-11-23T03:10:03.9012552Z   test_hvp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.957s)
2022-11-23T03:10:03.9013095Z   test_hvp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T03:10:03.9013622Z   test_hvp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.016s)
2022-11-23T03:10:03.9014153Z   test_hvp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9014681Z   test_hvp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s)
2022-11-23T03:10:03.9015207Z   test_hvp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9015832Z   test_hvp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.013s)
2022-11-23T03:10:03.9016921Z   test_hvp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9017444Z   test_hvp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s)
2022-11-23T03:10:03.9017959Z   test_hvp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9018474Z   test_hvp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.011s)
2022-11-23T03:10:03.9019010Z   test_jacobian_create_graph_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.093s)
2022-11-23T03:10:03.9019597Z   test_jacobian_create_graph_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.691s)
2022-11-23T03:10:03.9020174Z   test_jacobian_create_graph_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.071s)
2022-11-23T03:10:03.9020756Z   test_jacobian_create_graph_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.490s)
2022-11-23T03:10:03.9021301Z   test_jacobian_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T03:10:03.9022030Z   test_jacobian_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.015s)
2022-11-23T03:10:03.9022610Z   test_jacobian_err_check_strict_vectorize_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s)
2022-11-23T03:10:03.9023184Z   test_jacobian_err_check_strict_vectorize_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s)
2022-11-23T03:10:03.9023740Z   test_jacobian_err_check_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T03:10:03.9024322Z   test_jacobian_err_check_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.015s)
2022-11-23T03:10:03.9024904Z   test_jacobian_err_check_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9025466Z   test_jacobian_err_check_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2022-11-23T03:10:03.9026006Z   test_jacobian_match_vjp_jvp_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9026549Z   test_jacobian_match_vjp_jvp_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.015s)
2022-11-23T03:10:03.9027079Z   test_jacobian_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T03:10:03.9027605Z   test_jacobian_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.012s)
2022-11-23T03:10:03.9028110Z   test_jacobian_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T03:10:03.9028643Z   test_jacobian_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.018s)
2022-11-23T03:10:03.9029179Z   test_jacobian_output_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9029741Z   test_jacobian_output_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.011s)
2022-11-23T03:10:03.9030266Z   test_jacobian_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T03:10:03.9030790Z   test_jacobian_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2022-11-23T03:10:03.9031324Z   test_jacobian_scalar_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T03:10:03.9031856Z   test_jacobian_scalar_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T03:10:03.9032617Z   test_jacobian_vectorize_correctness_different_devices_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T03:10:03.9033239Z   test_jacobian_vectorize_correctness_different_devices_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.034s)
2022-11-23T03:10:03.9033859Z   test_jacobian_vectorize_correctness_different_dtype_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9034465Z   test_jacobian_vectorize_correctness_different_dtype_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.019s)
2022-11-23T03:10:03.9035070Z   test_jacobian_vectorize_correctness_multi_input_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T03:10:03.9035664Z   test_jacobian_vectorize_correctness_multi_input_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.035s)
2022-11-23T03:10:03.9036278Z   test_jacobian_vectorize_correctness_multi_input_multi_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.015s)
2022-11-23T03:10:03.9036896Z   test_jacobian_vectorize_correctness_multi_input_multi_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.113s)
2022-11-23T03:10:03.9037570Z   test_jacobian_vectorize_correctness_simple_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2022-11-23T03:10:03.9038163Z   test_jacobian_vectorize_correctness_simple_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.040s)
2022-11-23T03:10:03.9038757Z   test_jacobian_vectorize_correctness_unrelated_outputs_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T03:10:03.9039353Z   test_jacobian_vectorize_correctness_unrelated_outputs_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.045s)
2022-11-23T03:10:03.9039951Z   test_jacobian_vectorize_correctness_zero_dim_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.011s)
2022-11-23T03:10:03.9040541Z   test_jacobian_vectorize_correctness_zero_dim_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.073s)
2022-11-23T03:10:03.9041121Z   test_jacobian_vectorize_raises_no_warnings_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T03:10:03.9041687Z   test_jacobian_vectorize_raises_no_warnings_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9042248Z   test_jvp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.097s)
2022-11-23T03:10:03.9042781Z   test_jvp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.677s)
2022-11-23T03:10:03.9043299Z   test_jvp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9043804Z   test_jvp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T03:10:03.9044340Z   test_jvp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9044995Z   test_jvp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s)
2022-11-23T03:10:03.9045519Z   test_jvp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T03:10:03.9046018Z   test_jvp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T03:10:03.9046532Z   test_jvp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9047044Z   test_jvp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s)
2022-11-23T03:10:03.9047534Z   test_jvp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T03:10:03.9048048Z   test_jvp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s)
2022-11-23T03:10:03.9048667Z   test_vhp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.121s)
2022-11-23T03:10:03.9049197Z   test_vhp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.875s)
2022-11-23T03:10:03.9049701Z   test_vhp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T03:10:03.9050222Z   test_vhp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.011s)
2022-11-23T03:10:03.9050743Z   test_vhp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9051285Z   test_vhp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s)
2022-11-23T03:10:03.9051789Z   test_vhp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9052302Z   test_vhp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.013s)
2022-11-23T03:10:03.9052818Z   test_vhp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T03:10:03.9053308Z   test_vhp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s)
2022-11-23T03:10:03.9053973Z   test_vhp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T03:10:03.9054495Z   test_vhp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s)
2022-11-23T03:10:03.9055016Z   test_vjp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.088s)
2022-11-23T03:10:03.9055530Z   test_vjp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.605s)
2022-11-23T03:10:03.9056401Z   test_vjp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9056866Z   test_vjp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T03:10:03.9057355Z   test_vjp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9057874Z   test_vjp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s)
2022-11-23T03:10:03.9058408Z   test_vjp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9058925Z   test_vjp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.011s)
2022-11-23T03:10:03.9059437Z   test_vjp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T03:10:03.9059945Z   test_vjp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2022-11-23T03:10:03.9060457Z   test_vjp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T03:10:03.9060969Z   test_vjp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T03:10:03.9061445Z   test_inference_mode_context_manager (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T03:10:03.9061905Z   test_inference_mode_decorator (__main__.TestAutogradInferenceMode) ... ok (0.002s)
2022-11-23T03:10:03.9062390Z   test_inference_mode_existing_autograd_session (__main__.TestAutogradInferenceMode) ... ok (0.007s)
2022-11-23T03:10:03.9062896Z   test_inference_mode_handle_direct_view_on_rebase (__main__.TestAutogradInferenceMode) ... ok (0.010s)
2022-11-23T03:10:03.9063391Z   test_inference_mode_handle_indirect_view_on_rebase (__main__.TestAutogradInferenceMode) ... ok (0.008s)
2022-11-23T03:10:03.9063901Z   test_inference_mode_inf_tensor_in_inf_mode_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T03:10:03.9064415Z   test_inference_mode_inf_tensor_in_inf_mode_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.002s)
2022-11-23T03:10:03.9064919Z   test_inference_mode_inf_tensor_in_inf_mode_view_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T03:10:03.9065648Z   test_inference_mode_inf_tensor_in_normal_mode_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T03:10:03.9066173Z   test_inference_mode_inf_tensor_in_normal_mode_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.009s)
2022-11-23T03:10:03.9066693Z   test_inference_mode_inf_tensor_in_normal_mode_view_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T03:10:03.9067158Z   test_inference_mode_tensor_creation (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T03:10:03.9067652Z   test_mix_inference_and_normal_tensor_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.006s)
2022-11-23T03:10:03.9068159Z   test_mix_inference_and_normal_tensor_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.012s)
2022-11-23T03:10:03.9068648Z   test_mix_inference_and_normal_tensor_view_op (__main__.TestAutogradInferenceMode) ... ok (0.002s)
2022-11-23T03:10:03.9069136Z   test_normal_tensor_inplace_output_in_inference_mode (__main__.TestAutogradInferenceMode) ... ok (0.002s)
2022-11-23T03:10:03.9069638Z   test_normal_tensor_inplace_output_in_normal_mode (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T03:10:03.9070135Z   test_normal_tensor_view_output_in_inference_mode (__main__.TestAutogradInferenceMode) ... ok (0.002s)
2022-11-23T03:10:03.9070736Z   test_normal_tensor_view_output_in_normal_mode (__main__.TestAutogradInferenceMode) ... ok (0.006s)
2022-11-23T03:10:03.9071281Z   test_autograd_composite_implicit_and_dispatch_registration_cuda (__main__.TestAutogradMultipleDispatchCUDA) ... ok (0.153s)
2022-11-23T03:10:03.9071856Z   test_autograd_multiple_dispatch_registrations_cuda (__main__.TestAutogradMultipleDispatchCUDA) ... ok (0.153s)
2022-11-23T03:10:03.9072390Z   test_backward_single_threaded_cuda (__main__.TestAutogradMultipleDispatchCUDA) ... ok (0.152s)
2022-11-23T03:10:03.9072860Z   test_foward_mode_AD_cuda (__main__.TestAutogradMultipleDispatchCUDA) ... ok (0.155s)
2022-11-23T03:10:03.9073393Z   test_per_dispatch_key_input_saving_cuda (__main__.TestAutogradMultipleDispatchCUDA) ... skip: Only runs on cpu (0.152s)
2022-11-23T03:10:03.9073906Z   test_view_copy_cuda (__main__.TestAutogradMultipleDispatchCUDA) ... ok (0.153s)
2022-11-23T03:10:03.9074345Z   test_cat_stack_r_to_c (__main__.TestMultithreadAutograd) ... ok (0.210s)
2022-11-23T03:10:03.9074771Z   test_dataparallel_saved_tensors_hooks (__main__.TestMultithreadAutograd) ... ok (0.003s)
2022-11-23T03:10:03.9075211Z   test_fork_join_in_middle (__main__.TestMultithreadAutograd) ... ok (0.028s)
2022-11-23T03:10:03.9075631Z   test_multi_grad_hooks (__main__.TestMultithreadAutograd) ... ok (0.010s)
2022-11-23T03:10:03.9076081Z   test_multithreaded_exception_propagation (__main__.TestMultithreadAutograd) ... ok (0.003s)
2022-11-23T03:10:03.9076522Z   test_preserve_backtrace (__main__.TestMultithreadAutograd) ... ok (0.002s)
2022-11-23T03:10:03.9076954Z   test_python_thread_in_middle (__main__.TestMultithreadAutograd) ... ok (0.029s)
2022-11-23T03:10:03.9077382Z   test_simple_backward (__main__.TestMultithreadAutograd) ... ok (0.012s)
2022-11-23T03:10:03.9077803Z   test_simple_backward_same_input (__main__.TestMultithreadAutograd) ... ok (0.019s)
2022-11-23T03:10:03.9078064Z 
2022-11-23T03:10:03.9078459Z ----------------------------------------------------------------------
2022-11-23T03:10:03.9078797Z Ran 527 tests in 41.685s
2022-11-23T03:10:03.9078965Z 
2022-11-23T03:10:03.9079106Z OK (skipped=12, expected failures=2)
2022-11-23T03:10:03.9079273Z 
2022-11-23T03:10:03.9079400Z Generating XML reports...
2022-11-23T03:10:03.9079999Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAllowMutationOnSaved-20221123030920.xml
2022-11-23T03:10:03.9080693Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutograd-20221123030920.xml
2022-11-23T03:10:03.9081410Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-autograd.test_complex.TestAutogradComplex-20221123030920.xml
2022-11-23T03:10:03.9082284Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradDeviceTypeCUDA-20221123030920.xml
2022-11-23T03:10:03.9083020Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradForwardMode-20221123030920.xml
2022-11-23T03:10:03.9083795Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradForwardModeBatchedGrad-20221123030920.xml
2022-11-23T03:10:03.9084614Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-autograd.test_functional.TestAutogradFunctional-20221123030920.xml
2022-11-23T03:10:03.9085401Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradInferenceMode-20221123030920.xml
2022-11-23T03:10:03.9086173Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradMultipleDispatchCUDA-20221123030920.xml
2022-11-23T03:10:03.9086929Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestMultithreadAutograd-20221123030920.xml
2022-11-23T03:10:03.9087274Z 
2022-11-23T03:10:03.9087883Z ##[endgroup]
2022-11-23T03:10:03.9088402Z FINISHED PRINTING LOG FILE of test_autograd (/var/lib/jenkins/workspace/test/test-reports/test_autograd_vbzu9n5y)
2022-11-23T03:10:03.9088697Z 
2022-11-23T03:10:03.9088932Z Running test_sparse_csr ... [2022-11-23 03:10:03.870031]
2022-11-23T03:10:03.9089630Z Executing ['/opt/conda/bin/python', '-bb', 'test_sparse_csr.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 03:10:03.870444]
2022-11-23T03:14:21.8212871Z 
2022-11-23T03:14:21.8216803Z Expand the folded group to see the log file of test_sparse_csr
2022-11-23T03:14:21.8218283Z ##[group]PRINTING LOG FILE of test_sparse_csr (/var/lib/jenkins/workspace/test/test-reports/test_sparse_csr_7qnwjiy3)
2022-11-23T03:14:21.8224169Z 
2022-11-23T03:14:21.8224774Z Running tests...
2022-11-23T03:14:21.8225736Z ----------------------------------------------------------------------
2022-11-23T03:14:21.8226671Z Test results will be stored in test-reports/python-unittest/test_sparse_csr
2022-11-23T03:14:21.8245507Z   test_add_cuda_float32 (__main__.TestSparseCSRCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:2402: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2022-11-23T03:14:21.8247655Z   return torch.sparse_compressed_tensor(compressed_indices, plain_indices,
2022-11-23T03:14:21.8248207Z ok (0.210s)
2022-11-23T03:14:21.8248669Z   test_add_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.186s)
2022-11-23T03:14:21.8249080Z   test_addmm_all_sparse_csr_SparseCSC_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.305s)
2022-11-23T03:14:21.8249627Z   test_addmm_all_sparse_csr_SparseCSC_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.093s)
2022-11-23T03:14:21.8250341Z   test_addmm_all_sparse_csr_SparseCSC_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.089s)
2022-11-23T03:14:21.8251228Z   test_addmm_all_sparse_csr_SparseCSC_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.090s)
2022-11-23T03:14:21.8251996Z   test_addmm_all_sparse_csr_SparseCSR_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.080s)
2022-11-23T03:14:21.8252624Z   test_addmm_all_sparse_csr_SparseCSR_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.079s)
2022-11-23T03:14:21.8253224Z   test_addmm_all_sparse_csr_SparseCSR_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.075s)
2022-11-23T03:14:21.8253756Z   test_addmm_all_sparse_csr_SparseCSR_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.075s)
2022-11-23T03:14:21.8254422Z   test_addmm_dense_result_SparseCSC_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:14:21.8255179Z   test_addmm_dense_result_SparseCSC_cuda_complex64 (__main__.TestSparseCSRCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:14:21.8257169Z   test_addmm_dense_result_SparseCSC_cuda_float32 (__main__.TestSparseCSRCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:14:21.8258145Z   test_addmm_dense_result_SparseCSC_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:14:21.8259119Z   test_addmm_dense_result_SparseCSR_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:14:21.8260106Z   test_addmm_dense_result_SparseCSR_cuda_complex64 (__main__.TestSparseCSRCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:14:21.8260922Z   test_addmm_dense_result_SparseCSR_cuda_float32 (__main__.TestSparseCSRCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:14:21.8261882Z   test_addmm_dense_result_SparseCSR_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Only runs on cpu (0.004s)
2022-11-23T03:14:21.8262632Z   test_addmm_errors_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.044s)
2022-11-23T03:14:21.8263366Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8264349Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8265208Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8266163Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8267013Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8267896Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8268645Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8269705Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8270185Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8270975Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8271671Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8272594Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8273401Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_0_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8274286Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_0_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8275056Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_0_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8275868Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_0_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8276568Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_1_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8277050Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_1_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8277491Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_1_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8277936Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_1_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8278383Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_25_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8278875Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_25_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8279316Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_25_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8279935Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_25_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8280397Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_0_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8280867Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_0_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8281320Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_0_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8281764Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_0_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8282230Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_1_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8282691Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_1_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8283156Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_1_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8283596Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_1_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8284103Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_25_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8284601Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_25_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8285142Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_25_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8285585Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_25_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8286044Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_0_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8286509Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_0_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8287039Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_0_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8287444Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_0_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8287943Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_1_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8288356Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_1_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8288797Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_1_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8289254Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_1_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8289717Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_25_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8290294Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_25_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8290639Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_25_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8291214Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_25_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8291593Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_0_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8292075Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_0_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8292493Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_0_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8292918Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_0_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8293375Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_1_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8293893Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_1_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.024s)
2022-11-23T03:14:21.8294346Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_1_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8294795Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_1_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8295264Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_25_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8295718Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_25_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8296464Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_25_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8296908Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_25_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8297397Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_0_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8297843Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_0_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8298345Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_0_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8299045Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_0_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8299685Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_1_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8300385Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_1_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8301043Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_1_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8301729Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_1_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8302399Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_25_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8303123Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_25_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8304107Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_25_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8305185Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_25_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8306031Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_0_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8306538Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_0_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8307013Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_0_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8308068Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_0_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8308987Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_1_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8309875Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_1_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8310718Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_1_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8311611Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_1_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8312414Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_25_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8313351Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_25_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8314124Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_25_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8315024Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_25_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8316191Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_0_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8317002Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_0_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8317794Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_0_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8318713Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_0_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8319517Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_1_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8320320Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_1_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8321210Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_1_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8322002Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_1_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8322848Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_25_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8323694Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_25_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.024s)
2022-11-23T03:14:21.8324714Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_25_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8325623Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_25_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8326618Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_0_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8327628Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_0_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8328482Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_0_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8329378Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_0_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.022s)
2022-11-23T03:14:21.8330151Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_1_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.024s)
2022-11-23T03:14:21.8330994Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_1_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8331763Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_1_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8332551Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_1_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8333338Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_25_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8334056Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_25_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8334879Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_25_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8335745Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_25_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.023s)
2022-11-23T03:14:21.8336876Z   test_autograd_dense_output_addmm_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.591s)
2022-11-23T03:14:21.8338058Z   test_autograd_dense_output_addmv_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.079s)
2022-11-23T03:14:21.8338905Z   test_autograd_dense_output_mm_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.014s)
2022-11-23T03:14:21.8339860Z   test_autograd_dense_output_mv_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.013s)
2022-11-23T03:14:21.8340834Z   test_autograd_sparse_csr_unary_abs_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8341719Z   test_autograd_sparse_csr_unary_abs_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8342711Z   test_autograd_sparse_csr_unary_angle_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op angle not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8343633Z   test_autograd_sparse_csr_unary_angle_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op angle not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8344244Z   test_autograd_sparse_csr_unary_asin_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op asin not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8345492Z   test_autograd_sparse_csr_unary_asin_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op asin not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8346765Z   test_autograd_sparse_csr_unary_asinh_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op asinh not supported with CSR input and autograd (0.002s)
2022-11-23T03:14:21.8347975Z   test_autograd_sparse_csr_unary_asinh_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op asinh not supported with CSR input and autograd (0.002s)
2022-11-23T03:14:21.8349199Z   test_autograd_sparse_csr_unary_atan_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op atan not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8350531Z   test_autograd_sparse_csr_unary_atan_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op atan not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8351753Z   test_autograd_sparse_csr_unary_atanh_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op atanh not supported with CSR input and autograd (0.002s)
2022-11-23T03:14:21.8352909Z   test_autograd_sparse_csr_unary_atanh_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op atanh not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8354134Z   test_autograd_sparse_csr_unary_ceil_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op ceil not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8355104Z   test_autograd_sparse_csr_unary_conj_physical_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8356119Z   test_autograd_sparse_csr_unary_conj_physical_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8357025Z   test_autograd_sparse_csr_unary_deg2rad_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8358080Z   test_autograd_sparse_csr_unary_erf_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op erf not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8359277Z   test_autograd_sparse_csr_unary_erfinv_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op erfinv not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8360481Z   test_autograd_sparse_csr_unary_expm1_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op expm1 not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8361623Z   test_autograd_sparse_csr_unary_floor_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op floor not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8362639Z   test_autograd_sparse_csr_unary_frac_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8363785Z   test_autograd_sparse_csr_unary_isinf_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op isinf not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8365148Z   test_autograd_sparse_csr_unary_isinf_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op isinf not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8366467Z   test_autograd_sparse_csr_unary_isnan_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op isnan not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8367791Z   test_autograd_sparse_csr_unary_isnan_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op isnan not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8369191Z   test_autograd_sparse_csr_unary_isneginf_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op isneginf not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8370421Z   test_autograd_sparse_csr_unary_isposinf_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op isposinf not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8373280Z   test_autograd_sparse_csr_unary_log1p_cuda_float64 (__main__.TestSparseCSRCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: log1p_backward: received self with sparse layout, but backward requires materialization of a dense tensor with this shape (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/FunctionsManual.cpp:4849.)
2022-11-23T03:14:21.8374811Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:14:21.8375586Z ok (0.007s)
2022-11-23T03:14:21.8376044Z   test_autograd_sparse_csr_unary_neg_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8376844Z   test_autograd_sparse_csr_unary_neg_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8377490Z   test_autograd_sparse_csr_unary_nn_functional_relu_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8377941Z   test_autograd_sparse_csr_unary_positive_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8378698Z   test_autograd_sparse_csr_unary_positive_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8379574Z   test_autograd_sparse_csr_unary_rad2deg_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8380496Z   test_autograd_sparse_csr_unary_round_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op round not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8381111Z   test_autograd_sparse_csr_unary_sgn_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op sgn not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8381758Z   test_autograd_sparse_csr_unary_sgn_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op sgn not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8382412Z   test_autograd_sparse_csr_unary_sign_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op sign not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8383078Z   test_autograd_sparse_csr_unary_signbit_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op signbit not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8383675Z   test_autograd_sparse_csr_unary_sin_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op sin not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8384335Z   test_autograd_sparse_csr_unary_sin_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op sin not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8384995Z   test_autograd_sparse_csr_unary_sinh_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op sinh not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8385621Z   test_autograd_sparse_csr_unary_sinh_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op sinh not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8386261Z   test_autograd_sparse_csr_unary_sqrt_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op sqrt not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8386906Z   test_autograd_sparse_csr_unary_sqrt_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op sqrt not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8387574Z   test_autograd_sparse_csr_unary_tan_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op tan not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8388326Z   test_autograd_sparse_csr_unary_tan_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op tan not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8388944Z   test_autograd_sparse_csr_unary_tanh_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op tanh not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8389716Z   test_autograd_sparse_csr_unary_tanh_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op tanh not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8391193Z   test_autograd_sparse_csr_unary_trunc_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Unary op trunc not supported with CSR input and autograd (0.003s)
2022-11-23T03:14:21.8391702Z   test_baddbmm_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: ROCm not available (0.004s)
2022-11-23T03:14:21.8392204Z   test_baddbmm_cuda_complex64 (__main__.TestSparseCSRCUDA) ... skip: ROCm not available (0.004s)
2022-11-23T03:14:21.8392645Z   test_baddbmm_cuda_float32 (__main__.TestSparseCSRCUDA) ... skip: ROCm not available (0.004s)
2022-11-23T03:14:21.8393082Z   test_baddbmm_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: ROCm not available (0.004s)
2022-11-23T03:14:21.8393705Z   test_block_addmm_block_size_2_int32_noncontiguous_False_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.124s)
2022-11-23T03:14:21.8394222Z   test_block_addmm_block_size_2_int32_noncontiguous_False_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.126s)
2022-11-23T03:14:21.8394949Z   test_block_addmm_block_size_2_int32_noncontiguous_False_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.118s)
2022-11-23T03:14:21.8395500Z   test_block_addmm_block_size_2_int32_noncontiguous_False_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.113s)
2022-11-23T03:14:21.8396036Z   test_block_addmm_block_size_2_int32_noncontiguous_True_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.134s)
2022-11-23T03:14:21.8396534Z   test_block_addmm_block_size_2_int32_noncontiguous_True_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.138s)
2022-11-23T03:14:21.8397053Z   test_block_addmm_block_size_2_int32_noncontiguous_True_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.127s)
2022-11-23T03:14:21.8397562Z   test_block_addmm_block_size_2_int32_noncontiguous_True_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.128s)
2022-11-23T03:14:21.8398062Z   test_block_addmm_block_size_2_int64_noncontiguous_False_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.132s)
2022-11-23T03:14:21.8398559Z   test_block_addmm_block_size_2_int64_noncontiguous_False_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.134s)
2022-11-23T03:14:21.8399097Z   test_block_addmm_block_size_2_int64_noncontiguous_False_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.123s)
2022-11-23T03:14:21.8400000Z   test_block_addmm_block_size_2_int64_noncontiguous_False_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.120s)
2022-11-23T03:14:21.8401164Z   test_block_addmm_block_size_2_int64_noncontiguous_True_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.141s)
2022-11-23T03:14:21.8401577Z   test_block_addmm_block_size_2_int64_noncontiguous_True_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.145s)
2022-11-23T03:14:21.8402084Z   test_block_addmm_block_size_2_int64_noncontiguous_True_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.134s)
2022-11-23T03:14:21.8402584Z   test_block_addmm_block_size_2_int64_noncontiguous_True_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.131s)
2022-11-23T03:14:21.8403065Z   test_block_addmm_block_size_3_int32_noncontiguous_False_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.124s)
2022-11-23T03:14:21.8403569Z   test_block_addmm_block_size_3_int32_noncontiguous_False_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.128s)
2022-11-23T03:14:21.8404070Z   test_block_addmm_block_size_3_int32_noncontiguous_False_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.117s)
2022-11-23T03:14:21.8404653Z   test_block_addmm_block_size_3_int32_noncontiguous_False_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.114s)
2022-11-23T03:14:21.8405131Z   test_block_addmm_block_size_3_int32_noncontiguous_True_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.136s)
2022-11-23T03:14:21.8405633Z   test_block_addmm_block_size_3_int32_noncontiguous_True_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.140s)
2022-11-23T03:14:21.8406129Z   test_block_addmm_block_size_3_int32_noncontiguous_True_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.128s)
2022-11-23T03:14:21.8406625Z   test_block_addmm_block_size_3_int32_noncontiguous_True_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.125s)
2022-11-23T03:14:21.8407103Z   test_block_addmm_block_size_3_int64_noncontiguous_False_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.132s)
2022-11-23T03:14:21.8407609Z   test_block_addmm_block_size_3_int64_noncontiguous_False_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.135s)
2022-11-23T03:14:21.8408114Z   test_block_addmm_block_size_3_int64_noncontiguous_False_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.125s)
2022-11-23T03:14:21.8408658Z   test_block_addmm_block_size_3_int64_noncontiguous_False_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.120s)
2022-11-23T03:14:21.8409151Z   test_block_addmm_block_size_3_int64_noncontiguous_True_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.143s)
2022-11-23T03:14:21.8409669Z   test_block_addmm_block_size_3_int64_noncontiguous_True_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.147s)
2022-11-23T03:14:21.8410167Z   test_block_addmm_block_size_3_int64_noncontiguous_True_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.135s)
2022-11-23T03:14:21.8410655Z   test_block_addmm_block_size_3_int64_noncontiguous_True_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.133s)
2022-11-23T03:14:21.8411136Z   test_block_addmv_block_size_2_int32_noncontiguous_False_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.018s)
2022-11-23T03:14:21.8411645Z   test_block_addmv_block_size_2_int32_noncontiguous_False_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.018s)
2022-11-23T03:14:21.8412143Z   test_block_addmv_block_size_2_int32_noncontiguous_False_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.018s)
2022-11-23T03:14:21.8412642Z   test_block_addmv_block_size_2_int32_noncontiguous_False_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.018s)
2022-11-23T03:14:21.8413124Z   test_block_addmv_block_size_2_int32_noncontiguous_True_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.017s)
2022-11-23T03:14:21.8413631Z   test_block_addmv_block_size_2_int32_noncontiguous_True_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.018s)
2022-11-23T03:14:21.8414127Z   test_block_addmv_block_size_2_int32_noncontiguous_True_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.017s)
2022-11-23T03:14:21.8414619Z   test_block_addmv_block_size_2_int32_noncontiguous_True_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.017s)
2022-11-23T03:14:21.8415111Z   test_block_addmv_block_size_2_int64_noncontiguous_False_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.018s)
2022-11-23T03:14:21.8415684Z   test_block_addmv_block_size_2_int64_noncontiguous_False_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.019s)
2022-11-23T03:14:21.8416431Z   test_block_addmv_block_size_2_int64_noncontiguous_False_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.018s)
2022-11-23T03:14:21.8416919Z   test_block_addmv_block_size_2_int64_noncontiguous_False_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.018s)
2022-11-23T03:14:21.8421407Z   test_block_addmv_block_size_2_int64_noncontiguous_True_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.018s)
2022-11-23T03:14:21.8421921Z   test_block_addmv_block_size_2_int64_noncontiguous_True_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.018s)
2022-11-23T03:14:21.8422422Z   test_block_addmv_block_size_2_int64_noncontiguous_True_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.017s)
2022-11-23T03:14:21.8423105Z   test_block_addmv_block_size_2_int64_noncontiguous_True_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.017s)
2022-11-23T03:14:21.8423604Z   test_block_addmv_block_size_3_int32_noncontiguous_False_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8424116Z   test_block_addmv_block_size_3_int32_noncontiguous_False_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8424617Z   test_block_addmv_block_size_3_int32_noncontiguous_False_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8425097Z   test_block_addmv_block_size_3_int32_noncontiguous_False_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8425595Z   test_block_addmv_block_size_3_int32_noncontiguous_True_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.017s)
2022-11-23T03:14:21.8426095Z   test_block_addmv_block_size_3_int32_noncontiguous_True_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.018s)
2022-11-23T03:14:21.8426597Z   test_block_addmv_block_size_3_int32_noncontiguous_True_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.017s)
2022-11-23T03:14:21.8427074Z   test_block_addmv_block_size_3_int32_noncontiguous_True_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.018s)
2022-11-23T03:14:21.8427703Z   test_block_addmv_block_size_3_int64_noncontiguous_False_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8428180Z   test_block_addmv_block_size_3_int64_noncontiguous_False_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8428675Z   test_block_addmv_block_size_3_int64_noncontiguous_False_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8429154Z   test_block_addmv_block_size_3_int64_noncontiguous_False_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8429646Z   test_block_addmv_block_size_3_int64_noncontiguous_True_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.017s)
2022-11-23T03:14:21.8430148Z   test_block_addmv_block_size_3_int64_noncontiguous_True_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.018s)
2022-11-23T03:14:21.8430642Z   test_block_addmv_block_size_3_int64_noncontiguous_True_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.017s)
2022-11-23T03:14:21.8431119Z   test_block_addmv_block_size_3_int64_noncontiguous_True_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.017s)
2022-11-23T03:14:21.8432343Z   test_block_triangular_solve_block_size_2_int32_noncontiguous_False_cuda_complex128 (__main__.TestSparseCSRCUDA) ... /var/lib/jenkins/workspace/test/test_sparse_csr.py:1688: UserWarning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release.
2022-11-23T03:14:21.8433132Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs.
2022-11-23T03:14:21.8433537Z X = torch.triangular_solve(B, A).solution
2022-11-23T03:14:21.8433820Z should be replaced with
2022-11-23T03:14:21.8434278Z X = torch.linalg.solve_triangular(A, B). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2224.)
2022-11-23T03:14:21.8434739Z   expected_X, _ = torch.triangular_solve(
2022-11-23T03:14:21.8434987Z ok (0.262s)
2022-11-23T03:14:21.8435387Z   test_block_triangular_solve_block_size_2_int32_noncontiguous_False_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.079s)
2022-11-23T03:14:21.8435922Z   test_block_triangular_solve_block_size_2_int32_noncontiguous_False_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.076s)
2022-11-23T03:14:21.8436446Z   test_block_triangular_solve_block_size_2_int32_noncontiguous_False_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.074s)
2022-11-23T03:14:21.8436956Z   test_block_triangular_solve_block_size_2_int32_noncontiguous_True_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.077s)
2022-11-23T03:14:21.8437486Z   test_block_triangular_solve_block_size_2_int32_noncontiguous_True_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.079s)
2022-11-23T03:14:21.8438105Z   test_block_triangular_solve_block_size_2_int32_noncontiguous_True_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.075s)
2022-11-23T03:14:21.8438632Z   test_block_triangular_solve_block_size_2_int32_noncontiguous_True_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.073s)
2022-11-23T03:14:21.8439149Z   test_block_triangular_solve_block_size_2_int64_noncontiguous_False_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.080s)
2022-11-23T03:14:21.8439684Z   test_block_triangular_solve_block_size_2_int64_noncontiguous_False_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.082s)
2022-11-23T03:14:21.8440214Z   test_block_triangular_solve_block_size_2_int64_noncontiguous_False_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.078s)
2022-11-23T03:14:21.8440730Z   test_block_triangular_solve_block_size_2_int64_noncontiguous_False_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.076s)
2022-11-23T03:14:21.8441245Z   test_block_triangular_solve_block_size_2_int64_noncontiguous_True_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.079s)
2022-11-23T03:14:21.8441780Z   test_block_triangular_solve_block_size_2_int64_noncontiguous_True_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.081s)
2022-11-23T03:14:21.8442358Z   test_block_triangular_solve_block_size_2_int64_noncontiguous_True_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.078s)
2022-11-23T03:14:21.8443297Z   test_block_triangular_solve_block_size_2_int64_noncontiguous_True_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.077s)
2022-11-23T03:14:21.8444110Z   test_block_triangular_solve_block_size_3_int32_noncontiguous_False_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.079s)
2022-11-23T03:14:21.8444809Z   test_block_triangular_solve_block_size_3_int32_noncontiguous_False_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.080s)
2022-11-23T03:14:21.8445339Z   test_block_triangular_solve_block_size_3_int32_noncontiguous_False_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.078s)
2022-11-23T03:14:21.8479260Z   test_block_triangular_solve_block_size_3_int32_noncontiguous_False_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.078s)
2022-11-23T03:14:21.8480119Z   test_block_triangular_solve_block_size_3_int32_noncontiguous_True_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.077s)
2022-11-23T03:14:21.8480706Z   test_block_triangular_solve_block_size_3_int32_noncontiguous_True_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.079s)
2022-11-23T03:14:21.8481269Z   test_block_triangular_solve_block_size_3_int32_noncontiguous_True_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.075s)
2022-11-23T03:14:21.8481789Z   test_block_triangular_solve_block_size_3_int32_noncontiguous_True_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.074s)
2022-11-23T03:14:21.8482336Z   test_block_triangular_solve_block_size_3_int64_noncontiguous_False_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.082s)
2022-11-23T03:14:21.8482903Z   test_block_triangular_solve_block_size_3_int64_noncontiguous_False_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.083s)
2022-11-23T03:14:21.8483447Z   test_block_triangular_solve_block_size_3_int64_noncontiguous_False_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.081s)
2022-11-23T03:14:21.8483971Z   test_block_triangular_solve_block_size_3_int64_noncontiguous_False_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.079s)
2022-11-23T03:14:21.8484511Z   test_block_triangular_solve_block_size_3_int64_noncontiguous_True_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.079s)
2022-11-23T03:14:21.8485060Z   test_block_triangular_solve_block_size_3_int64_noncontiguous_True_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.082s)
2022-11-23T03:14:21.8485600Z   test_block_triangular_solve_block_size_3_int64_noncontiguous_True_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.078s)
2022-11-23T03:14:21.8486217Z   test_block_triangular_solve_block_size_3_int64_noncontiguous_True_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.076s)
2022-11-23T03:14:21.8486941Z   test_bmm_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.028s)
2022-11-23T03:14:21.8487346Z   test_bmm_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.029s)
2022-11-23T03:14:21.8487729Z   test_bmm_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.027s)
2022-11-23T03:14:21.8488130Z   test_bmm_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.027s)
2022-11-23T03:14:21.8488592Z   test_compressed_layout_conversions_coverage_SparseBSC_SparseBSC_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8489079Z This test performs a smoke test for covered conversion and verifies ... ok (0.055s)
2022-11-23T03:14:21.8489564Z   test_compressed_layout_conversions_coverage_SparseBSC_SparseBSR_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8490027Z This test performs a smoke test for covered conversion and verifies ... ok (0.057s)
2022-11-23T03:14:21.8490503Z   test_compressed_layout_conversions_coverage_SparseBSC_SparseCSC_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8490967Z This test performs a smoke test for covered conversion and verifies ... ok (0.026s)
2022-11-23T03:14:21.8491446Z   test_compressed_layout_conversions_coverage_SparseBSC_SparseCSR_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8491916Z This test performs a smoke test for covered conversion and verifies ... ok (0.026s)
2022-11-23T03:14:21.8492496Z   test_compressed_layout_conversions_coverage_SparseBSR_SparseBSC_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8492954Z This test performs a smoke test for covered conversion and verifies ... ok (0.057s)
2022-11-23T03:14:21.8493428Z   test_compressed_layout_conversions_coverage_SparseBSR_SparseBSR_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8493898Z This test performs a smoke test for covered conversion and verifies ... ok (0.054s)
2022-11-23T03:14:21.8494345Z   test_compressed_layout_conversions_coverage_SparseBSR_SparseCSC_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8494822Z This test performs a smoke test for covered conversion and verifies ... ok (0.026s)
2022-11-23T03:14:21.8495303Z   test_compressed_layout_conversions_coverage_SparseBSR_SparseCSR_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8495774Z This test performs a smoke test for covered conversion and verifies ... ok (0.022s)
2022-11-23T03:14:21.8496503Z   test_compressed_layout_conversions_coverage_SparseCSC_SparseBSC_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8496990Z This test performs a smoke test for covered conversion and verifies ... ok (0.026s)
2022-11-23T03:14:21.8497462Z   test_compressed_layout_conversions_coverage_SparseCSC_SparseBSR_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8497934Z This test performs a smoke test for covered conversion and verifies ... ok (0.027s)
2022-11-23T03:14:21.8498391Z   test_compressed_layout_conversions_coverage_SparseCSC_SparseCSC_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8498865Z This test performs a smoke test for covered conversion and verifies ... ok (0.010s)
2022-11-23T03:14:21.8499349Z   test_compressed_layout_conversions_coverage_SparseCSC_SparseCSR_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8499795Z This test performs a smoke test for covered conversion and verifies ... ok (0.011s)
2022-11-23T03:14:21.8500277Z   test_compressed_layout_conversions_coverage_SparseCSR_SparseBSC_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8500749Z This test performs a smoke test for covered conversion and verifies ... ok (0.026s)
2022-11-23T03:14:21.8501215Z   test_compressed_layout_conversions_coverage_SparseCSR_SparseBSR_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8501662Z This test performs a smoke test for covered conversion and verifies ... ok (0.026s)
2022-11-23T03:14:21.8502132Z   test_compressed_layout_conversions_coverage_SparseCSR_SparseCSC_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8502598Z This test performs a smoke test for covered conversion and verifies ... ok (0.012s)
2022-11-23T03:14:21.8503178Z   test_compressed_layout_conversions_coverage_SparseCSR_SparseCSR_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8503645Z This test performs a smoke test for covered conversion and verifies ... ok (0.009s)
2022-11-23T03:14:21.8504084Z   test_coo_csr_conversion_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8504537Z   test_coo_csr_conversion_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8504957Z   test_coo_csr_conversion_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8505409Z   test_coo_csr_conversion_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8505855Z   test_coo_csr_conversion_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8506291Z   test_coo_csr_conversion_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8506705Z   test_coo_csr_conversion_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8507143Z   test_coo_csr_conversion_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8507567Z   test_coo_csr_conversion_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8507969Z   test_coo_csr_conversion_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8508482Z   test_coo_csr_conversion_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8508915Z   test_coo_csr_conversion_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8509342Z   test_coo_to_csr_convert_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.024s)
2022-11-23T03:14:21.8509751Z   test_csr_coo_conversion_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8510187Z   test_csr_coo_conversion_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8510630Z   test_csr_coo_conversion_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8511059Z   test_csr_coo_conversion_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8511494Z   test_csr_coo_conversion_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8511927Z   test_csr_coo_conversion_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8512372Z   test_csr_coo_conversion_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8512780Z   test_csr_coo_conversion_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8513208Z   test_csr_coo_conversion_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8513633Z   test_csr_coo_conversion_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8514033Z   test_csr_coo_conversion_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8514461Z   test_csr_coo_conversion_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8514897Z   test_csr_double_to_sparse_csr_cuda (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8515322Z   test_csr_is_contiguous_cuda (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8515792Z   test_csr_matvec_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.069s)
2022-11-23T03:14:21.8516214Z   test_csr_matvec_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.069s)
2022-11-23T03:14:21.8516643Z   test_csr_matvec_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.069s)
2022-11-23T03:14:21.8517037Z   test_csr_matvec_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.069s)
2022-11-23T03:14:21.8518194Z   test_csr_storage_cuda (__main__.TestSparseCSRCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:14:21.8518883Z   warnings.warn(message, UserWarning)
2022-11-23T03:14:21.8519339Z ok (0.006s)
2022-11-23T03:14:21.8519638Z   test_csr_stride_cuda (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8520145Z   test_csr_to_block_csr_blocksize_2_cuda_float64_int32 (__main__.TestSparseCSRCUDA) ... ok (0.027s)
2022-11-23T03:14:21.8520623Z   test_csr_to_block_csr_blocksize_2_cuda_float64_int64 (__main__.TestSparseCSRCUDA) ... ok (0.026s)
2022-11-23T03:14:21.8521050Z   test_csr_to_block_csr_blocksize_4_cuda_float64_int32 (__main__.TestSparseCSRCUDA) ... ok (0.041s)
2022-11-23T03:14:21.8521504Z   test_csr_to_block_csr_blocksize_4_cuda_float64_int64 (__main__.TestSparseCSRCUDA) ... ok (0.040s)
2022-11-23T03:14:21.8521960Z   test_csr_to_block_csr_errors_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.032s)
2022-11-23T03:14:21.8522433Z   test_dense_to_from_sparse_compressed_SparseBSC_Batched_Hybrid_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8522861Z This test tests conversion from dense to/from CSR and CSC ... ok (0.020s)
2022-11-23T03:14:21.8523334Z   test_dense_to_from_sparse_compressed_SparseBSC_Batched_NonHybrid_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8523795Z This test tests conversion from dense to/from CSR and CSC ... ok (0.450s)
2022-11-23T03:14:21.8524262Z   test_dense_to_from_sparse_compressed_SparseBSC_NonBatched_Hybrid_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8524758Z This test tests conversion from dense to/from CSR and CSC ... ok (0.017s)
2022-11-23T03:14:21.8525242Z   test_dense_to_from_sparse_compressed_SparseBSC_NonBatched_NonHybrid_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8525696Z This test tests conversion from dense to/from CSR and CSC ... ok (0.039s)
2022-11-23T03:14:21.8526126Z   test_dense_to_from_sparse_compressed_SparseBSR_Batched_Hybrid_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8526568Z This test tests conversion from dense to/from CSR and CSC ... ok (0.019s)
2022-11-23T03:14:21.8527022Z   test_dense_to_from_sparse_compressed_SparseBSR_Batched_NonHybrid_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8527480Z This test tests conversion from dense to/from CSR and CSC ... ok (0.437s)
2022-11-23T03:14:21.8527912Z   test_dense_to_from_sparse_compressed_SparseBSR_NonBatched_Hybrid_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8528367Z This test tests conversion from dense to/from CSR and CSC ... ok (0.016s)
2022-11-23T03:14:21.8528839Z   test_dense_to_from_sparse_compressed_SparseBSR_NonBatched_NonHybrid_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8529270Z This test tests conversion from dense to/from CSR and CSC ... ok (0.038s)
2022-11-23T03:14:21.8529721Z   test_dense_to_from_sparse_compressed_SparseCSC_Batched_Hybrid_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8530161Z This test tests conversion from dense to/from CSR and CSC ... ok (0.023s)
2022-11-23T03:14:21.8530619Z   test_dense_to_from_sparse_compressed_SparseCSC_Batched_NonHybrid_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8531046Z This test tests conversion from dense to/from CSR and CSC ... ok (0.154s)
2022-11-23T03:14:21.8531508Z   test_dense_to_from_sparse_compressed_SparseCSC_NonBatched_Hybrid_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8532033Z This test tests conversion from dense to/from CSR and CSC ... ok (0.018s)
2022-11-23T03:14:21.8532472Z   test_dense_to_from_sparse_compressed_SparseCSC_NonBatched_NonHybrid_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8532928Z This test tests conversion from dense to/from CSR and CSC ... ok (0.017s)
2022-11-23T03:14:21.8533381Z   test_dense_to_from_sparse_compressed_SparseCSR_Batched_Hybrid_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8533825Z This test tests conversion from dense to/from CSR and CSC ... ok (0.021s)
2022-11-23T03:14:21.8534252Z   test_dense_to_from_sparse_compressed_SparseCSR_Batched_NonHybrid_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8534705Z This test tests conversion from dense to/from CSR and CSC ... ok (0.151s)
2022-11-23T03:14:21.8535164Z   test_dense_to_from_sparse_compressed_SparseCSR_NonBatched_Hybrid_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8535693Z This test tests conversion from dense to/from CSR and CSC ... ok (0.017s)
2022-11-23T03:14:21.8536614Z   test_dense_to_from_sparse_compressed_SparseCSR_NonBatched_NonHybrid_cuda (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8537062Z This test tests conversion from dense to/from CSR and CSC ... ok (0.017s)
2022-11-23T03:14:21.8537503Z   test_direct_coo_csr_conversion_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8537948Z   test_direct_coo_csr_conversion_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8538410Z   test_direct_coo_csr_conversion_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8538859Z   test_direct_coo_csr_conversion_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8539304Z   test_direct_coo_csr_conversion_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8539739Z   test_direct_coo_csr_conversion_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8540183Z   test_direct_coo_csr_conversion_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8540627Z   test_direct_coo_csr_conversion_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8541210Z   test_direct_coo_csr_conversion_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8541671Z   test_exercise_detach_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8542157Z   test_exercise_detach_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8542604Z   test_exercise_detach_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8543019Z   test_exercise_detach_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8543450Z   test_exercise_detach_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8543883Z   test_exercise_detach_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8544292Z   test_exercise_detach_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8544709Z   test_exercise_detach_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8545140Z   test_exercise_detach_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8545567Z   test_exercise_detach_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8546030Z   test_exercise_detach_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8546449Z   test_exercise_detach_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8546885Z   test_matmul_device_mismatch_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.037s)
2022-11-23T03:14:21.8547281Z   test_mm_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (1.475s)
2022-11-23T03:14:21.8547685Z   test_mm_errors_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.032s)
2022-11-23T03:14:21.8548095Z   test_mul_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.419s)
2022-11-23T03:14:21.8548491Z   test_mul_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.418s)
2022-11-23T03:14:21.8549629Z   test_resize_as_sparse_compressed_SparseBSC_cuda_bool (__main__.TestSparseCSRCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_creation.py:151: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T03:14:21.8550390Z   result = torch.empty(shape, device=device, dtype=dtype)
2022-11-23T03:14:21.8550700Z ok (0.094s)
2022-11-23T03:14:21.8551078Z   test_resize_as_sparse_compressed_SparseBSC_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.092s)
2022-11-23T03:14:21.8551554Z   test_resize_as_sparse_compressed_SparseBSR_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.089s)
2022-11-23T03:14:21.8552159Z   test_resize_as_sparse_compressed_SparseBSR_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.088s)
2022-11-23T03:14:21.8552651Z   test_resize_as_sparse_compressed_SparseCSC_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.114s)
2022-11-23T03:14:21.8553121Z   test_resize_as_sparse_compressed_SparseCSC_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.114s)
2022-11-23T03:14:21.8553617Z   test_resize_as_sparse_compressed_SparseCSR_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.131s)
2022-11-23T03:14:21.8554108Z   test_resize_as_sparse_compressed_SparseCSR_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.132s)
2022-11-23T03:14:21.8554558Z   test_resize_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8554940Z   test_resize_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8555348Z   test_resize_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8555760Z   test_resize_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8556156Z   test_resize_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8556558Z   test_resize_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8556959Z   test_resize_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8557359Z   test_resize_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8557796Z   test_resize_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8558193Z   test_resize_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8558582Z   test_resize_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8558955Z   test_resize_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8559364Z   test_resize_errors_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.020s)
2022-11-23T03:14:21.8559791Z   test_resize_errors_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.020s)
2022-11-23T03:14:21.8560219Z   test_resize_errors_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.019s)
2022-11-23T03:14:21.8560629Z   test_resize_errors_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.020s)
2022-11-23T03:14:21.8561059Z   test_resize_errors_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.019s)
2022-11-23T03:14:21.8561486Z   test_resize_errors_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.020s)
2022-11-23T03:14:21.8561888Z   test_resize_errors_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8562298Z   test_resize_errors_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.020s)
2022-11-23T03:14:21.8562712Z   test_resize_errors_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.020s)
2022-11-23T03:14:21.8563094Z   test_resize_errors_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.020s)
2022-11-23T03:14:21.8563496Z   test_resize_errors_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.020s)
2022-11-23T03:14:21.8563914Z   test_resize_errors_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.020s)
2022-11-23T03:14:21.8564360Z   test_sampled_addmm_autograd_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8564803Z   test_sampled_addmm_autograd_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8565258Z   test_sampled_addmm_autograd_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8565718Z   test_sampled_addmm_autograd_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8566169Z   test_sampled_addmm_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (2.013s)
2022-11-23T03:14:21.8566584Z   test_sampled_addmm_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (2.069s)
2022-11-23T03:14:21.8567009Z   test_sampled_addmm_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (1.949s)
2022-11-23T03:14:21.8567439Z   test_sampled_addmm_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (1.883s)
2022-11-23T03:14:21.8567861Z   test_sampled_addmm_errors_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.049s)
2022-11-23T03:14:21.8568406Z   test_sampled_addmm_errors_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.048s)
2022-11-23T03:14:21.8568862Z   test_sampled_addmm_errors_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.049s)
2022-11-23T03:14:21.8569303Z   test_sampled_addmm_errors_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.048s)
2022-11-23T03:14:21.8569893Z   test_sampled_addmm_zero_sized_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Causes CUDA memory exception, see https://github.com/pytorch/pytorch/issues/72177 (0.003s)
2022-11-23T03:14:21.8570592Z   test_sampled_addmm_zero_sized_cuda_complex64 (__main__.TestSparseCSRCUDA) ... skip: Causes CUDA memory exception, see https://github.com/pytorch/pytorch/issues/72177 (0.002s)
2022-11-23T03:14:21.8571279Z   test_sampled_addmm_zero_sized_cuda_float32 (__main__.TestSparseCSRCUDA) ... skip: Causes CUDA memory exception, see https://github.com/pytorch/pytorch/issues/72177 (0.002s)
2022-11-23T03:14:21.8571965Z   test_sampled_addmm_zero_sized_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Causes CUDA memory exception, see https://github.com/pytorch/pytorch/issues/72177 (0.002s)
2022-11-23T03:14:21.8572496Z   test_select_SparseBSC_int32_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.031s)
2022-11-23T03:14:21.8572954Z   test_select_SparseBSC_int32_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.030s)
2022-11-23T03:14:21.8573479Z   test_select_SparseBSC_int32_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.031s)
2022-11-23T03:14:21.8573958Z   test_select_SparseBSC_int32_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.031s)
2022-11-23T03:14:21.8574388Z   test_select_SparseBSC_int32_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.030s)
2022-11-23T03:14:21.8574841Z   test_select_SparseBSC_int32_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.030s)
2022-11-23T03:14:21.8575290Z   test_select_SparseBSC_int32_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.031s)
2022-11-23T03:14:21.8575720Z   test_select_SparseBSC_int32_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.030s)
2022-11-23T03:14:21.8576602Z   test_select_SparseBSC_int32_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.030s)
2022-11-23T03:14:21.8576997Z   test_select_SparseBSC_int32_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.029s)
2022-11-23T03:14:21.8577425Z   test_select_SparseBSC_int32_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.030s)
2022-11-23T03:14:21.8577837Z   test_select_SparseBSC_int32_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.031s)
2022-11-23T03:14:21.8578284Z   test_select_SparseBSC_int64_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.030s)
2022-11-23T03:14:21.8578733Z   test_select_SparseBSC_int64_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.030s)
2022-11-23T03:14:21.8579158Z   test_select_SparseBSC_int64_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.030s)
2022-11-23T03:14:21.8579621Z   test_select_SparseBSC_int64_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.030s)
2022-11-23T03:14:21.8580089Z   test_select_SparseBSC_int64_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.030s)
2022-11-23T03:14:21.8580536Z   test_select_SparseBSC_int64_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.030s)
2022-11-23T03:14:21.8580951Z   test_select_SparseBSC_int64_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.030s)
2022-11-23T03:14:21.8581404Z   test_select_SparseBSC_int64_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.030s)
2022-11-23T03:14:21.8581846Z   test_select_SparseBSC_int64_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.029s)
2022-11-23T03:14:21.8582251Z   test_select_SparseBSC_int64_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.029s)
2022-11-23T03:14:21.8582683Z   test_select_SparseBSC_int64_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.030s)
2022-11-23T03:14:21.8583118Z   test_select_SparseBSC_int64_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.030s)
2022-11-23T03:14:21.8583556Z   test_select_SparseBSR_int32_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.026s)
2022-11-23T03:14:21.8584180Z   test_select_SparseBSR_int32_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.025s)
2022-11-23T03:14:21.8584632Z   test_select_SparseBSR_int32_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.027s)
2022-11-23T03:14:21.8585092Z   test_select_SparseBSR_int32_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.027s)
2022-11-23T03:14:21.8585520Z   test_select_SparseBSR_int32_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.026s)
2022-11-23T03:14:21.8585970Z   test_select_SparseBSR_int32_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.026s)
2022-11-23T03:14:21.8586419Z   test_select_SparseBSR_int32_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.026s)
2022-11-23T03:14:21.8586861Z   test_select_SparseBSR_int32_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.025s)
2022-11-23T03:14:21.8587268Z   test_select_SparseBSR_int32_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.026s)
2022-11-23T03:14:21.8587699Z   test_select_SparseBSR_int32_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.025s)
2022-11-23T03:14:21.8588136Z   test_select_SparseBSR_int32_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.025s)
2022-11-23T03:14:21.8588577Z   test_select_SparseBSR_int32_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.026s)
2022-11-23T03:14:21.8588997Z   test_select_SparseBSR_int64_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.026s)
2022-11-23T03:14:21.8589524Z   test_select_SparseBSR_int64_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.025s)
2022-11-23T03:14:21.8589985Z   test_select_SparseBSR_int64_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.026s)
2022-11-23T03:14:21.8590426Z   test_select_SparseBSR_int64_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.026s)
2022-11-23T03:14:21.8590870Z   test_select_SparseBSR_int64_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.026s)
2022-11-23T03:14:21.8591316Z   test_select_SparseBSR_int64_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.026s)
2022-11-23T03:14:21.8591762Z   test_select_SparseBSR_int64_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.026s)
2022-11-23T03:14:21.8592183Z   test_select_SparseBSR_int64_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.026s)
2022-11-23T03:14:21.8592617Z   test_select_SparseBSR_int64_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.025s)
2022-11-23T03:14:21.8593053Z   test_select_SparseBSR_int64_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.025s)
2022-11-23T03:14:21.8593462Z   test_select_SparseBSR_int64_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.025s)
2022-11-23T03:14:21.8593902Z   test_select_SparseBSR_int64_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.025s)
2022-11-23T03:14:21.8594344Z   test_select_SparseCSC_int32_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.054s)
2022-11-23T03:14:21.8594793Z   test_select_SparseCSC_int32_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.053s)
2022-11-23T03:14:21.8595213Z   test_select_SparseCSC_int32_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.055s)
2022-11-23T03:14:21.8595666Z   test_select_SparseCSC_int32_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.056s)
2022-11-23T03:14:21.8596114Z   test_select_SparseCSC_int32_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.054s)
2022-11-23T03:14:21.8596534Z   test_select_SparseCSC_int32_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.054s)
2022-11-23T03:14:21.8596998Z   test_select_SparseCSC_int32_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.054s)
2022-11-23T03:14:21.8597439Z   test_select_SparseCSC_int32_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.053s)
2022-11-23T03:14:21.8597872Z   test_select_SparseCSC_int32_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.052s)
2022-11-23T03:14:21.8598276Z   test_select_SparseCSC_int32_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.053s)
2022-11-23T03:14:21.8598709Z   test_select_SparseCSC_int32_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.052s)
2022-11-23T03:14:21.8599137Z   test_select_SparseCSC_int32_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.053s)
2022-11-23T03:14:21.8599644Z   test_select_SparseCSC_int64_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.053s)
2022-11-23T03:14:21.8600089Z   test_select_SparseCSC_int64_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.052s)
2022-11-23T03:14:21.8600534Z   test_select_SparseCSC_int64_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.054s)
2022-11-23T03:14:21.8601007Z   test_select_SparseCSC_int64_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.054s)
2022-11-23T03:14:21.8601433Z   test_select_SparseCSC_int64_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.054s)
2022-11-23T03:14:21.8601872Z   test_select_SparseCSC_int64_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.054s)
2022-11-23T03:14:21.8602310Z   test_select_SparseCSC_int64_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.054s)
2022-11-23T03:14:21.8602749Z   test_select_SparseCSC_int64_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.053s)
2022-11-23T03:14:21.8603225Z   test_select_SparseCSC_int64_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.052s)
2022-11-23T03:14:21.8603653Z   test_select_SparseCSC_int64_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.053s)
2022-11-23T03:14:21.8604078Z   test_select_SparseCSC_int64_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.052s)
2022-11-23T03:14:21.8604494Z   test_select_SparseCSC_int64_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.052s)
2022-11-23T03:14:21.8605014Z   test_select_SparseCSR_int32_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.044s)
2022-11-23T03:14:21.8605469Z   test_select_SparseCSR_int32_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.043s)
2022-11-23T03:14:21.8605919Z   test_select_SparseCSR_int32_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.044s)
2022-11-23T03:14:21.8606359Z   test_select_SparseCSR_int32_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.043s)
2022-11-23T03:14:21.8606806Z   test_select_SparseCSR_int32_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.044s)
2022-11-23T03:14:21.8607253Z   test_select_SparseCSR_int32_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.044s)
2022-11-23T03:14:21.8607680Z   test_select_SparseCSR_int32_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.043s)
2022-11-23T03:14:21.8608125Z   test_select_SparseCSR_int32_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.043s)
2022-11-23T03:14:21.8608564Z   test_select_SparseCSR_int32_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.042s)
2022-11-23T03:14:21.8608996Z   test_select_SparseCSR_int32_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.042s)
2022-11-23T03:14:21.8609408Z   test_select_SparseCSR_int32_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.043s)
2022-11-23T03:14:21.8609842Z   test_select_SparseCSR_int32_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.042s)
2022-11-23T03:14:21.8610282Z   test_select_SparseCSR_int64_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.043s)
2022-11-23T03:14:21.8610704Z   test_select_SparseCSR_int64_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.042s)
2022-11-23T03:14:21.8611155Z   test_select_SparseCSR_int64_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.044s)
2022-11-23T03:14:21.8611624Z   test_select_SparseCSR_int64_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.043s)
2022-11-23T03:14:21.8612079Z   test_select_SparseCSR_int64_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.043s)
2022-11-23T03:14:21.8612505Z   test_select_SparseCSR_int64_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.043s)
2022-11-23T03:14:21.8612951Z   test_select_SparseCSR_int64_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.043s)
2022-11-23T03:14:21.8613387Z   test_select_SparseCSR_int64_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.042s)
2022-11-23T03:14:21.8613794Z   test_select_SparseCSR_int64_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.042s)
2022-11-23T03:14:21.8614224Z   test_select_SparseCSR_int64_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.042s)
2022-11-23T03:14:21.8614663Z   test_select_SparseCSR_int64_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.042s)
2022-11-23T03:14:21.8615172Z   test_select_SparseCSR_int64_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.042s)
2022-11-23T03:14:21.8615635Z   test_sparse_add_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.052s)
2022-11-23T03:14:21.8616401Z   test_sparse_add_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.054s)
2022-11-23T03:14:21.8617139Z   test_sparse_add_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.053s)
2022-11-23T03:14:21.8617665Z   test_sparse_add_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.051s)
2022-11-23T03:14:21.8618089Z   test_sparse_add_errors_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.021s)
2022-11-23T03:14:21.8618542Z   test_sparse_add_errors_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.020s)
2022-11-23T03:14:21.8618982Z   test_sparse_add_errors_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.020s)
2022-11-23T03:14:21.8619387Z   test_sparse_add_errors_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.020s)
2022-11-23T03:14:21.8619819Z   test_sparse_addmm_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.049s)
2022-11-23T03:14:21.8620261Z   test_sparse_addmm_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.049s)
2022-11-23T03:14:21.8620663Z   test_sparse_addmm_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.049s)
2022-11-23T03:14:21.8621078Z   test_sparse_addmm_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.048s)
2022-11-23T03:14:21.8621681Z   test_sparse_csc_to_dense_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8622129Z   test_sparse_csc_to_dense_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8622543Z   test_sparse_csc_to_dense_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8623004Z   test_sparse_csc_to_dense_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8623450Z   test_sparse_csc_to_dense_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8623857Z   test_sparse_csc_to_dense_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8624356Z   test_sparse_csc_to_dense_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8624713Z   test_sparse_csc_to_dense_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8625213Z   test_sparse_csc_to_dense_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8625622Z   test_sparse_csc_to_dense_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8626053Z   test_sparse_csc_to_dense_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8626482Z   test_sparse_csc_to_dense_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8626929Z   test_sparse_csr_from_dense_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8627344Z   test_sparse_csr_from_dense_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8628018Z   test_sparse_csr_from_dense_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8628803Z   test_sparse_csr_from_dense_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8629263Z   test_sparse_csr_from_dense_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8629704Z   test_sparse_csr_from_dense_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8630145Z   test_sparse_csr_from_dense_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8630583Z   test_sparse_csr_from_dense_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8630991Z   test_sparse_csr_from_dense_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8631419Z   test_sparse_csr_from_dense_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8631849Z   test_sparse_csr_from_dense_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8632255Z   test_sparse_csr_from_dense_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8632837Z   test_sparse_csr_to_dense_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8633271Z   test_sparse_csr_to_dense_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8633719Z   test_sparse_csr_to_dense_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8634149Z   test_sparse_csr_to_dense_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8634590Z   test_sparse_csr_to_dense_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8635016Z   test_sparse_csr_to_dense_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8635430Z   test_sparse_csr_to_dense_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8635853Z   test_sparse_csr_to_dense_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8636278Z   test_sparse_csr_to_dense_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8636707Z   test_sparse_csr_to_dense_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.008s)
2022-11-23T03:14:21.8637107Z   test_sparse_csr_to_dense_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8637535Z   test_sparse_csr_to_dense_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8638037Z   test_sparse_csr_unary_inplace_abs_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8638489Z   test_sparse_csr_unary_inplace_abs_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8638957Z   test_sparse_csr_unary_inplace_abs_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8639433Z   test_sparse_csr_unary_inplace_abs_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.241s)
2022-11-23T03:14:21.8639904Z   test_sparse_csr_unary_inplace_abs_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8640352Z   test_sparse_csr_unary_inplace_abs_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8640816Z   test_sparse_csr_unary_inplace_abs_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8641274Z   test_sparse_csr_unary_inplace_abs_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8641733Z   test_sparse_csr_unary_inplace_abs_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8642165Z   test_sparse_csr_unary_inplace_abs_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8642619Z   test_sparse_csr_unary_inplace_abs_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8643074Z   test_sparse_csr_unary_inplace_abs_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8643503Z   test_sparse_csr_unary_inplace_abs_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8644028Z   test_sparse_csr_unary_inplace_angle_cuda_bool (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8644621Z   test_sparse_csr_unary_inplace_angle_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8645216Z   test_sparse_csr_unary_inplace_angle_cuda_complex32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8645784Z   test_sparse_csr_unary_inplace_angle_cuda_complex64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8646369Z   test_sparse_csr_unary_inplace_angle_cuda_float32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8646954Z   test_sparse_csr_unary_inplace_angle_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8647537Z   test_sparse_csr_unary_inplace_angle_cuda_int16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8648178Z   test_sparse_csr_unary_inplace_angle_cuda_int32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8648755Z   test_sparse_csr_unary_inplace_angle_cuda_int64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8649344Z   test_sparse_csr_unary_inplace_angle_cuda_int8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8650000Z   test_sparse_csr_unary_inplace_angle_cuda_uint8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8650421Z   test_sparse_csr_unary_inplace_asin_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8650894Z   test_sparse_csr_unary_inplace_asin_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8651371Z   test_sparse_csr_unary_inplace_asin_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8651852Z   test_sparse_csr_unary_inplace_asin_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8652305Z   test_sparse_csr_unary_inplace_asin_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8652869Z   test_sparse_csr_unary_inplace_asin_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8653345Z   test_sparse_csr_unary_inplace_asin_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8653821Z   test_sparse_csr_unary_inplace_asin_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8654260Z   test_sparse_csr_unary_inplace_asin_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8654718Z   test_sparse_csr_unary_inplace_asin_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8655173Z   test_sparse_csr_unary_inplace_asin_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8655607Z   test_sparse_csr_unary_inplace_asin_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8656429Z   test_sparse_csr_unary_inplace_asin_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8656872Z   test_sparse_csr_unary_inplace_asinh_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8657349Z   test_sparse_csr_unary_inplace_asinh_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8657796Z   test_sparse_csr_unary_inplace_asinh_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8658279Z   test_sparse_csr_unary_inplace_asinh_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8658758Z   test_sparse_csr_unary_inplace_asinh_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8659205Z   test_sparse_csr_unary_inplace_asinh_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8659687Z   test_sparse_csr_unary_inplace_asinh_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8660153Z   test_sparse_csr_unary_inplace_asinh_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8660617Z   test_sparse_csr_unary_inplace_asinh_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8661063Z   test_sparse_csr_unary_inplace_asinh_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8661564Z   test_sparse_csr_unary_inplace_asinh_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8661994Z   test_sparse_csr_unary_inplace_asinh_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8662456Z   test_sparse_csr_unary_inplace_asinh_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8662895Z   test_sparse_csr_unary_inplace_atan_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8663528Z   test_sparse_csr_unary_inplace_atan_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8663999Z   test_sparse_csr_unary_inplace_atan_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8664458Z   test_sparse_csr_unary_inplace_atan_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8664950Z   test_sparse_csr_unary_inplace_atan_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8665429Z   test_sparse_csr_unary_inplace_atan_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8665890Z   test_sparse_csr_unary_inplace_atan_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8666330Z   test_sparse_csr_unary_inplace_atan_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8666784Z   test_sparse_csr_unary_inplace_atan_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8667244Z   test_sparse_csr_unary_inplace_atan_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8667666Z   test_sparse_csr_unary_inplace_atan_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8668110Z   test_sparse_csr_unary_inplace_atan_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8668659Z   test_sparse_csr_unary_inplace_atan_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8669146Z   test_sparse_csr_unary_inplace_atanh_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8669589Z   test_sparse_csr_unary_inplace_atanh_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8670058Z   test_sparse_csr_unary_inplace_atanh_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8670538Z   test_sparse_csr_unary_inplace_atanh_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8671025Z   test_sparse_csr_unary_inplace_atanh_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8671486Z   test_sparse_csr_unary_inplace_atanh_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8671963Z   test_sparse_csr_unary_inplace_atanh_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8672436Z   test_sparse_csr_unary_inplace_atanh_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8672885Z   test_sparse_csr_unary_inplace_atanh_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8673348Z   test_sparse_csr_unary_inplace_atanh_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8673805Z   test_sparse_csr_unary_inplace_atanh_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8674264Z   test_sparse_csr_unary_inplace_atanh_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8674698Z   test_sparse_csr_unary_inplace_atanh_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8675178Z   test_sparse_csr_unary_inplace_ceil_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8675651Z   test_sparse_csr_unary_inplace_ceil_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8676121Z   test_sparse_csr_unary_inplace_ceil_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8676569Z   test_sparse_csr_unary_inplace_ceil_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8677024Z   test_sparse_csr_unary_inplace_ceil_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8677488Z   test_sparse_csr_unary_inplace_ceil_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8677922Z   test_sparse_csr_unary_inplace_ceil_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8678371Z   test_sparse_csr_unary_inplace_ceil_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8678927Z   test_sparse_csr_unary_inplace_ceil_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8679407Z   test_sparse_csr_unary_inplace_conj_physical_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8679881Z   test_sparse_csr_unary_inplace_conj_physical_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8680473Z   test_sparse_csr_unary_inplace_conj_physical_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8680983Z   test_sparse_csr_unary_inplace_conj_physical_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.208s)
2022-11-23T03:14:21.8681495Z   test_sparse_csr_unary_inplace_conj_physical_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8681978Z   test_sparse_csr_unary_inplace_conj_physical_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8682476Z   test_sparse_csr_unary_inplace_conj_physical_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8682982Z   test_sparse_csr_unary_inplace_conj_physical_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8683450Z   test_sparse_csr_unary_inplace_conj_physical_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8683942Z   test_sparse_csr_unary_inplace_conj_physical_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8684494Z   test_sparse_csr_unary_inplace_conj_physical_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8684991Z   test_sparse_csr_unary_inplace_conj_physical_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8685457Z   test_sparse_csr_unary_inplace_conj_physical_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8685947Z   test_sparse_csr_unary_inplace_deg2rad_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8686425Z   test_sparse_csr_unary_inplace_deg2rad_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8686919Z   test_sparse_csr_unary_inplace_deg2rad_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8687375Z   test_sparse_csr_unary_inplace_deg2rad_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8687849Z   test_sparse_csr_unary_inplace_deg2rad_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8688317Z   test_sparse_csr_unary_inplace_deg2rad_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8688766Z   test_sparse_csr_unary_inplace_deg2rad_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8689243Z   test_sparse_csr_unary_inplace_deg2rad_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8689703Z   test_sparse_csr_unary_inplace_deg2rad_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8690170Z   test_sparse_csr_unary_inplace_deg2rad_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8690621Z   test_sparse_csr_unary_inplace_erf_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8691084Z   test_sparse_csr_unary_inplace_erf_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8691554Z   test_sparse_csr_unary_inplace_erf_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8692025Z   test_sparse_csr_unary_inplace_erf_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8692464Z   test_sparse_csr_unary_inplace_erf_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8692920Z   test_sparse_csr_unary_inplace_erf_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8693372Z   test_sparse_csr_unary_inplace_erf_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8693798Z   test_sparse_csr_unary_inplace_erf_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8694345Z   test_sparse_csr_unary_inplace_erf_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8694794Z   test_sparse_csr_unary_inplace_erf_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8695253Z   test_sparse_csr_unary_inplace_erfinv_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8695705Z   test_sparse_csr_unary_inplace_erfinv_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8696445Z   test_sparse_csr_unary_inplace_erfinv_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8696926Z   test_sparse_csr_unary_inplace_erfinv_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8697376Z   test_sparse_csr_unary_inplace_erfinv_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8697845Z   test_sparse_csr_unary_inplace_erfinv_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8698303Z   test_sparse_csr_unary_inplace_erfinv_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8698785Z   test_sparse_csr_unary_inplace_erfinv_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8699227Z   test_sparse_csr_unary_inplace_erfinv_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8699827Z   test_sparse_csr_unary_inplace_expm1_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8700307Z   test_sparse_csr_unary_inplace_expm1_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8700780Z   test_sparse_csr_unary_inplace_expm1_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8701223Z   test_sparse_csr_unary_inplace_expm1_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8701683Z   test_sparse_csr_unary_inplace_expm1_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8702150Z   test_sparse_csr_unary_inplace_expm1_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8702601Z   test_sparse_csr_unary_inplace_expm1_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8703060Z   test_sparse_csr_unary_inplace_expm1_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8703516Z   test_sparse_csr_unary_inplace_expm1_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8703969Z   test_sparse_csr_unary_inplace_expm1_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8704469Z   test_sparse_csr_unary_inplace_floor_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8704922Z   test_sparse_csr_unary_inplace_floor_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8705378Z   test_sparse_csr_unary_inplace_floor_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8705835Z   test_sparse_csr_unary_inplace_floor_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8706275Z   test_sparse_csr_unary_inplace_floor_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8706726Z   test_sparse_csr_unary_inplace_floor_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8707175Z   test_sparse_csr_unary_inplace_floor_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8707606Z   test_sparse_csr_unary_inplace_floor_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8708054Z   test_sparse_csr_unary_inplace_floor_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8708515Z   test_sparse_csr_unary_inplace_frac_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8709083Z   test_sparse_csr_unary_inplace_frac_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8709421Z   test_sparse_csr_unary_inplace_frac_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8709876Z   test_sparse_csr_unary_inplace_frac_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8710548Z   test_sparse_csr_unary_inplace_isinf_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8711134Z   test_sparse_csr_unary_inplace_isinf_cuda_bool (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8711696Z   test_sparse_csr_unary_inplace_isinf_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8712284Z   test_sparse_csr_unary_inplace_isinf_cuda_complex32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.002s)
2022-11-23T03:14:21.8712862Z   test_sparse_csr_unary_inplace_isinf_cuda_complex64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.002s)
2022-11-23T03:14:21.8713468Z   test_sparse_csr_unary_inplace_isinf_cuda_float16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8713985Z   test_sparse_csr_unary_inplace_isinf_cuda_float32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.002s)
2022-11-23T03:14:21.8714558Z   test_sparse_csr_unary_inplace_isinf_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8715201Z   test_sparse_csr_unary_inplace_isinf_cuda_int16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8715850Z   test_sparse_csr_unary_inplace_isinf_cuda_int32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8716390Z   test_sparse_csr_unary_inplace_isinf_cuda_int64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.004s)
2022-11-23T03:14:21.8716964Z   test_sparse_csr_unary_inplace_isinf_cuda_int8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8717534Z   test_sparse_csr_unary_inplace_isinf_cuda_uint8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8718104Z   test_sparse_csr_unary_inplace_isnan_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8718763Z   test_sparse_csr_unary_inplace_isnan_cuda_bool (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8719252Z   test_sparse_csr_unary_inplace_isnan_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8719829Z   test_sparse_csr_unary_inplace_isnan_cuda_complex64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8720409Z   test_sparse_csr_unary_inplace_isnan_cuda_float16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8720972Z   test_sparse_csr_unary_inplace_isnan_cuda_float32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8721544Z   test_sparse_csr_unary_inplace_isnan_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.002s)
2022-11-23T03:14:21.8722105Z   test_sparse_csr_unary_inplace_isnan_cuda_int16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8722678Z   test_sparse_csr_unary_inplace_isnan_cuda_int32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8723225Z   test_sparse_csr_unary_inplace_isnan_cuda_int64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.004s)
2022-11-23T03:14:21.8723809Z   test_sparse_csr_unary_inplace_isnan_cuda_int8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8724484Z   test_sparse_csr_unary_inplace_isnan_cuda_uint8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8725081Z   test_sparse_csr_unary_inplace_isneginf_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8725654Z   test_sparse_csr_unary_inplace_isneginf_cuda_bool (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.002s)
2022-11-23T03:14:21.8726245Z   test_sparse_csr_unary_inplace_isneginf_cuda_float16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.002s)
2022-11-23T03:14:21.8726831Z   test_sparse_csr_unary_inplace_isneginf_cuda_float32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8727421Z   test_sparse_csr_unary_inplace_isneginf_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.002s)
2022-11-23T03:14:21.8727986Z   test_sparse_csr_unary_inplace_isneginf_cuda_int16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8728570Z   test_sparse_csr_unary_inplace_isneginf_cuda_int32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8729257Z   test_sparse_csr_unary_inplace_isneginf_cuda_int64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8729848Z   test_sparse_csr_unary_inplace_isneginf_cuda_int8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8730406Z   test_sparse_csr_unary_inplace_isneginf_cuda_uint8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.004s)
2022-11-23T03:14:21.8730993Z   test_sparse_csr_unary_inplace_isposinf_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8731589Z   test_sparse_csr_unary_inplace_isposinf_cuda_bool (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8732178Z   test_sparse_csr_unary_inplace_isposinf_cuda_float16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8732786Z   test_sparse_csr_unary_inplace_isposinf_cuda_float32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.002s)
2022-11-23T03:14:21.8733363Z   test_sparse_csr_unary_inplace_isposinf_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8733948Z   test_sparse_csr_unary_inplace_isposinf_cuda_int16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8734534Z   test_sparse_csr_unary_inplace_isposinf_cuda_int32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8735120Z   test_sparse_csr_unary_inplace_isposinf_cuda_int64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8735669Z   test_sparse_csr_unary_inplace_isposinf_cuda_int8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8736553Z   test_sparse_csr_unary_inplace_isposinf_cuda_uint8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8737061Z   test_sparse_csr_unary_inplace_log1p_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8737548Z   test_sparse_csr_unary_inplace_log1p_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8737997Z   test_sparse_csr_unary_inplace_log1p_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8738468Z   test_sparse_csr_unary_inplace_log1p_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8739118Z   test_sparse_csr_unary_inplace_log1p_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8739564Z   test_sparse_csr_unary_inplace_log1p_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8740034Z   test_sparse_csr_unary_inplace_log1p_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8740497Z   test_sparse_csr_unary_inplace_log1p_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8740962Z   test_sparse_csr_unary_inplace_log1p_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8741393Z   test_sparse_csr_unary_inplace_log1p_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8741855Z   test_sparse_csr_unary_inplace_neg_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8742325Z   test_sparse_csr_unary_inplace_neg_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8742773Z   test_sparse_csr_unary_inplace_neg_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.209s)
2022-11-23T03:14:21.8743250Z   test_sparse_csr_unary_inplace_neg_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8743702Z   test_sparse_csr_unary_inplace_neg_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8744275Z   test_sparse_csr_unary_inplace_neg_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8744722Z   test_sparse_csr_unary_inplace_neg_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8745177Z   test_sparse_csr_unary_inplace_neg_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8745627Z   test_sparse_csr_unary_inplace_neg_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8746068Z   test_sparse_csr_unary_inplace_neg_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8746486Z   test_sparse_csr_unary_inplace_neg_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8746947Z   test_sparse_csr_unary_inplace_neg_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8747489Z   test_sparse_csr_unary_inplace_nn_functional_relu_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8748089Z   test_sparse_csr_unary_inplace_nn_functional_relu_cuda_float16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8748703Z   test_sparse_csr_unary_inplace_nn_functional_relu_cuda_float32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8749314Z   test_sparse_csr_unary_inplace_nn_functional_relu_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.004s)
2022-11-23T03:14:21.8749921Z   test_sparse_csr_unary_inplace_nn_functional_relu_cuda_int16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8750543Z   test_sparse_csr_unary_inplace_nn_functional_relu_cuda_int32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8751118Z   test_sparse_csr_unary_inplace_nn_functional_relu_cuda_int64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8751726Z   test_sparse_csr_unary_inplace_nn_functional_relu_cuda_int8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8752341Z   test_sparse_csr_unary_inplace_nn_functional_relu_cuda_uint8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8752941Z   test_sparse_csr_unary_inplace_positive_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8753513Z   test_sparse_csr_unary_inplace_positive_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8754209Z   test_sparse_csr_unary_inplace_positive_cuda_complex32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8754805Z   test_sparse_csr_unary_inplace_positive_cuda_complex64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.002s)
2022-11-23T03:14:21.8755405Z   test_sparse_csr_unary_inplace_positive_cuda_float16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8755986Z   test_sparse_csr_unary_inplace_positive_cuda_float32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8756579Z   test_sparse_csr_unary_inplace_positive_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8757168Z   test_sparse_csr_unary_inplace_positive_cuda_int16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8757756Z   test_sparse_csr_unary_inplace_positive_cuda_int32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8758309Z   test_sparse_csr_unary_inplace_positive_cuda_int64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8758977Z   test_sparse_csr_unary_inplace_positive_cuda_int8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8759585Z   test_sparse_csr_unary_inplace_positive_cuda_uint8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.002s)
2022-11-23T03:14:21.8760122Z   test_sparse_csr_unary_inplace_rad2deg_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8760574Z   test_sparse_csr_unary_inplace_rad2deg_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8761038Z   test_sparse_csr_unary_inplace_rad2deg_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8761512Z   test_sparse_csr_unary_inplace_rad2deg_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8761980Z   test_sparse_csr_unary_inplace_rad2deg_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8762419Z   test_sparse_csr_unary_inplace_rad2deg_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8762882Z   test_sparse_csr_unary_inplace_rad2deg_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8763350Z   test_sparse_csr_unary_inplace_rad2deg_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8763809Z   test_sparse_csr_unary_inplace_rad2deg_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8764314Z   test_sparse_csr_unary_inplace_rad2deg_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8764776Z   test_sparse_csr_unary_inplace_round_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8765249Z   test_sparse_csr_unary_inplace_round_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8765690Z   test_sparse_csr_unary_inplace_round_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8766156Z   test_sparse_csr_unary_inplace_round_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8766620Z   test_sparse_csr_unary_inplace_round_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8767069Z   test_sparse_csr_unary_inplace_round_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8767497Z   test_sparse_csr_unary_inplace_round_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8767944Z   test_sparse_csr_unary_inplace_round_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8768391Z   test_sparse_csr_unary_inplace_round_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8768909Z   test_sparse_csr_unary_inplace_sgn_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8769359Z   test_sparse_csr_unary_inplace_sgn_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8769817Z   test_sparse_csr_unary_inplace_sgn_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8770291Z   test_sparse_csr_unary_inplace_sgn_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.260s)
2022-11-23T03:14:21.8770734Z   test_sparse_csr_unary_inplace_sgn_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8771182Z   test_sparse_csr_unary_inplace_sgn_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8771636Z   test_sparse_csr_unary_inplace_sgn_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8772089Z   test_sparse_csr_unary_inplace_sgn_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8772520Z   test_sparse_csr_unary_inplace_sgn_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8772975Z   test_sparse_csr_unary_inplace_sgn_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8773411Z   test_sparse_csr_unary_inplace_sgn_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8773895Z   test_sparse_csr_unary_inplace_sgn_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8774350Z   test_sparse_csr_unary_inplace_sgn_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8774808Z   test_sparse_csr_unary_inplace_sign_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8775252Z   test_sparse_csr_unary_inplace_sign_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8775680Z   test_sparse_csr_unary_inplace_sign_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8776461Z   test_sparse_csr_unary_inplace_sign_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8776939Z   test_sparse_csr_unary_inplace_sign_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8777391Z   test_sparse_csr_unary_inplace_sign_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8777826Z   test_sparse_csr_unary_inplace_sign_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8778273Z   test_sparse_csr_unary_inplace_sign_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8778712Z   test_sparse_csr_unary_inplace_sign_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8779142Z   test_sparse_csr_unary_inplace_sign_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8779663Z   test_sparse_csr_unary_inplace_signbit_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8780248Z   test_sparse_csr_unary_inplace_signbit_cuda_bool (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8780831Z   test_sparse_csr_unary_inplace_signbit_cuda_float16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8781396Z   test_sparse_csr_unary_inplace_signbit_cuda_float32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8781976Z   test_sparse_csr_unary_inplace_signbit_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8782550Z   test_sparse_csr_unary_inplace_signbit_cuda_int16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8783112Z   test_sparse_csr_unary_inplace_signbit_cuda_int32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8783652Z   test_sparse_csr_unary_inplace_signbit_cuda_int64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8784364Z   test_sparse_csr_unary_inplace_signbit_cuda_int8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8784937Z   test_sparse_csr_unary_inplace_signbit_cuda_uint8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Inplace variant not supported! (0.003s)
2022-11-23T03:14:21.8785440Z   test_sparse_csr_unary_inplace_sin_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8785872Z   test_sparse_csr_unary_inplace_sin_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8786337Z   test_sparse_csr_unary_inplace_sin_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8786800Z   test_sparse_csr_unary_inplace_sin_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8787263Z   test_sparse_csr_unary_inplace_sin_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8787716Z   test_sparse_csr_unary_inplace_sin_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8788167Z   test_sparse_csr_unary_inplace_sin_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8788612Z   test_sparse_csr_unary_inplace_sin_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8789150Z   test_sparse_csr_unary_inplace_sin_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8789604Z   test_sparse_csr_unary_inplace_sin_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8790049Z   test_sparse_csr_unary_inplace_sin_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8790486Z   test_sparse_csr_unary_inplace_sin_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8790913Z   test_sparse_csr_unary_inplace_sin_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8791378Z   test_sparse_csr_unary_inplace_sinh_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8791830Z   test_sparse_csr_unary_inplace_sinh_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8792293Z   test_sparse_csr_unary_inplace_sinh_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8792751Z   test_sparse_csr_unary_inplace_sinh_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8793223Z   test_sparse_csr_unary_inplace_sinh_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8793685Z   test_sparse_csr_unary_inplace_sinh_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8794119Z   test_sparse_csr_unary_inplace_sinh_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8794582Z   test_sparse_csr_unary_inplace_sinh_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8795027Z   test_sparse_csr_unary_inplace_sinh_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8795488Z   test_sparse_csr_unary_inplace_sinh_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8795913Z   test_sparse_csr_unary_inplace_sinh_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8796377Z   test_sparse_csr_unary_inplace_sinh_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8796828Z   test_sparse_csr_unary_inplace_sinh_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8797264Z   test_sparse_csr_unary_inplace_sqrt_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8797721Z   test_sparse_csr_unary_inplace_sqrt_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8798186Z   test_sparse_csr_unary_inplace_sqrt_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8798656Z   test_sparse_csr_unary_inplace_sqrt_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.621s)
2022-11-23T03:14:21.8799193Z   test_sparse_csr_unary_inplace_sqrt_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.007s)
2022-11-23T03:14:21.8799646Z   test_sparse_csr_unary_inplace_sqrt_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8800098Z   test_sparse_csr_unary_inplace_sqrt_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8800559Z   test_sparse_csr_unary_inplace_sqrt_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8800991Z   test_sparse_csr_unary_inplace_sqrt_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8801441Z   test_sparse_csr_unary_inplace_sqrt_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8801990Z   test_sparse_csr_unary_inplace_sqrt_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8802414Z   test_sparse_csr_unary_inplace_sqrt_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8802870Z   test_sparse_csr_unary_inplace_sqrt_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8803321Z   test_sparse_csr_unary_inplace_tan_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8803777Z   test_sparse_csr_unary_inplace_tan_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8804277Z   test_sparse_csr_unary_inplace_tan_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8804750Z   test_sparse_csr_unary_inplace_tan_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8805217Z   test_sparse_csr_unary_inplace_tan_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8805669Z   test_sparse_csr_unary_inplace_tan_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8806100Z   test_sparse_csr_unary_inplace_tan_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8806556Z   test_sparse_csr_unary_inplace_tan_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8807000Z   test_sparse_csr_unary_inplace_tan_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8807428Z   test_sparse_csr_unary_inplace_tan_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8807873Z   test_sparse_csr_unary_inplace_tan_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8808310Z   test_sparse_csr_unary_inplace_tan_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8808761Z   test_sparse_csr_unary_inplace_tan_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8809186Z   test_sparse_csr_unary_inplace_tanh_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8809633Z   test_sparse_csr_unary_inplace_tanh_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8810090Z   test_sparse_csr_unary_inplace_tanh_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8810557Z   test_sparse_csr_unary_inplace_tanh_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8811029Z   test_sparse_csr_unary_inplace_tanh_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8811491Z   test_sparse_csr_unary_inplace_tanh_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8811950Z   test_sparse_csr_unary_inplace_tanh_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8812390Z   test_sparse_csr_unary_inplace_tanh_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8812838Z   test_sparse_csr_unary_inplace_tanh_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8813293Z   test_sparse_csr_unary_inplace_tanh_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8813743Z   test_sparse_csr_unary_inplace_tanh_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8814260Z   test_sparse_csr_unary_inplace_tanh_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8814708Z   test_sparse_csr_unary_inplace_tanh_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8815169Z   test_sparse_csr_unary_inplace_trunc_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8815682Z   test_sparse_csr_unary_inplace_trunc_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8816415Z   test_sparse_csr_unary_inplace_trunc_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8816839Z   test_sparse_csr_unary_inplace_trunc_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8817300Z   test_sparse_csr_unary_inplace_trunc_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8817737Z   test_sparse_csr_unary_inplace_trunc_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8818192Z   test_sparse_csr_unary_inplace_trunc_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8818636Z   test_sparse_csr_unary_inplace_trunc_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8819068Z   test_sparse_csr_unary_inplace_trunc_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8819690Z   test_sparse_csr_unary_out_abs_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8820148Z   test_sparse_csr_unary_out_abs_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8821352Z   test_sparse_csr_unary_out_abs_cuda_complex128 (__main__.TestSparseCSRCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:275.)
2022-11-23T03:14:21.8822031Z   return self.op(*args, **kwargs)
2022-11-23T03:14:21.8822278Z ok (0.012s)
2022-11-23T03:14:21.8822628Z   test_sparse_csr_unary_out_abs_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8823076Z   test_sparse_csr_unary_out_abs_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8823489Z   test_sparse_csr_unary_out_abs_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8823932Z   test_sparse_csr_unary_out_abs_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8824366Z   test_sparse_csr_unary_out_abs_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8824797Z   test_sparse_csr_unary_out_abs_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8825206Z   test_sparse_csr_unary_out_abs_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8825633Z   test_sparse_csr_unary_out_abs_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8826064Z   test_sparse_csr_unary_out_abs_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8826479Z   test_sparse_csr_unary_out_abs_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8826913Z   test_sparse_csr_unary_out_angle_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8827371Z   test_sparse_csr_unary_out_angle_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8827838Z   test_sparse_csr_unary_out_angle_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.272s)
2022-11-23T03:14:21.8828275Z   test_sparse_csr_unary_out_angle_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.013s)
2022-11-23T03:14:21.8828726Z   test_sparse_csr_unary_out_angle_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8829171Z   test_sparse_csr_unary_out_angle_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8829587Z   test_sparse_csr_unary_out_angle_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8830178Z   test_sparse_csr_unary_out_angle_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8830606Z   test_sparse_csr_unary_out_angle_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8831044Z   test_sparse_csr_unary_out_angle_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8831465Z   test_sparse_csr_unary_out_angle_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8831904Z   test_sparse_csr_unary_out_asin_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8832345Z   test_sparse_csr_unary_out_asin_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8832772Z   test_sparse_csr_unary_out_asin_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8833236Z   test_sparse_csr_unary_out_asin_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8833687Z   test_sparse_csr_unary_out_asin_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8834132Z   test_sparse_csr_unary_out_asin_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8834550Z   test_sparse_csr_unary_out_asin_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8834988Z   test_sparse_csr_unary_out_asin_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8835481Z   test_sparse_csr_unary_out_asin_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8835923Z   test_sparse_csr_unary_out_asin_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8836337Z   test_sparse_csr_unary_out_asin_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8836555Z   test_sparse_csr_unary_out_asin_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8836767Z   test_sparse_csr_unary_out_asin_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8836991Z   test_sparse_csr_unary_out_asinh_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8837203Z   test_sparse_csr_unary_out_asinh_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8837427Z   test_sparse_csr_unary_out_asinh_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8837654Z   test_sparse_csr_unary_out_asinh_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8837857Z   test_sparse_csr_unary_out_asinh_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8838076Z   test_sparse_csr_unary_out_asinh_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8838291Z   test_sparse_csr_unary_out_asinh_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8838505Z   test_sparse_csr_unary_out_asinh_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8838715Z   test_sparse_csr_unary_out_asinh_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8838932Z   test_sparse_csr_unary_out_asinh_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8839143Z   test_sparse_csr_unary_out_asinh_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8839358Z   test_sparse_csr_unary_out_asinh_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8839553Z   test_sparse_csr_unary_out_asinh_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8839769Z   test_sparse_csr_unary_out_atan_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8839977Z   test_sparse_csr_unary_out_atan_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8840198Z   test_sparse_csr_unary_out_atan_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8840423Z   test_sparse_csr_unary_out_atan_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8840714Z   test_sparse_csr_unary_out_atan_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8840931Z   test_sparse_csr_unary_out_atan_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8841143Z   test_sparse_csr_unary_out_atan_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8841352Z   test_sparse_csr_unary_out_atan_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8841542Z   test_sparse_csr_unary_out_atan_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8841752Z   test_sparse_csr_unary_out_atan_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8841958Z   test_sparse_csr_unary_out_atan_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8842319Z   test_sparse_csr_unary_out_atan_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8842524Z   test_sparse_csr_unary_out_atan_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8842747Z   test_sparse_csr_unary_out_atanh_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8842956Z   test_sparse_csr_unary_out_atanh_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8843183Z   test_sparse_csr_unary_out_atanh_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8843443Z   test_sparse_csr_unary_out_atanh_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8843728Z   test_sparse_csr_unary_out_atanh_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8843941Z   test_sparse_csr_unary_out_atanh_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8844158Z   test_sparse_csr_unary_out_atanh_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8844367Z   test_sparse_csr_unary_out_atanh_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8844585Z   test_sparse_csr_unary_out_atanh_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8844796Z   test_sparse_csr_unary_out_atanh_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8845000Z   test_sparse_csr_unary_out_atanh_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8845213Z   test_sparse_csr_unary_out_atanh_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8845404Z   test_sparse_csr_unary_out_atanh_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8845617Z   test_sparse_csr_unary_out_ceil_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8845827Z   test_sparse_csr_unary_out_ceil_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8846040Z   test_sparse_csr_unary_out_ceil_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8846252Z   test_sparse_csr_unary_out_ceil_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8846464Z   test_sparse_csr_unary_out_ceil_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8846675Z   test_sparse_csr_unary_out_ceil_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8846882Z   test_sparse_csr_unary_out_ceil_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8847072Z   test_sparse_csr_unary_out_ceil_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8847282Z   test_sparse_csr_unary_out_ceil_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8847513Z   test_sparse_csr_unary_out_conj_physical_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8847738Z   test_sparse_csr_unary_out_conj_physical_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8847976Z   test_sparse_csr_unary_out_conj_physical_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8848277Z   test_sparse_csr_unary_out_conj_physical_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8848502Z   test_sparse_csr_unary_out_conj_physical_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8848732Z   test_sparse_csr_unary_out_conj_physical_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8848954Z   test_sparse_csr_unary_out_conj_physical_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8849149Z   test_sparse_csr_unary_out_conj_physical_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8849374Z   test_sparse_csr_unary_out_conj_physical_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8849598Z   test_sparse_csr_unary_out_conj_physical_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8849821Z   test_sparse_csr_unary_out_conj_physical_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8850047Z   test_sparse_csr_unary_out_conj_physical_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8850268Z   test_sparse_csr_unary_out_conj_physical_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8850489Z   test_sparse_csr_unary_out_deg2rad_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8850772Z   test_sparse_csr_unary_out_deg2rad_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8850998Z   test_sparse_csr_unary_out_deg2rad_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8851199Z   test_sparse_csr_unary_out_deg2rad_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8851411Z   test_sparse_csr_unary_out_deg2rad_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8851627Z   test_sparse_csr_unary_out_deg2rad_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8851842Z   test_sparse_csr_unary_out_deg2rad_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8852057Z   test_sparse_csr_unary_out_deg2rad_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8852273Z   test_sparse_csr_unary_out_deg2rad_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8852492Z   test_sparse_csr_unary_out_deg2rad_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8852706Z   test_sparse_csr_unary_out_erf_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8852897Z   test_sparse_csr_unary_out_erf_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8853112Z   test_sparse_csr_unary_out_erf_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8853317Z   test_sparse_csr_unary_out_erf_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8853524Z   test_sparse_csr_unary_out_erf_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8853743Z   test_sparse_csr_unary_out_erf_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8853952Z   test_sparse_csr_unary_out_erf_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8854157Z   test_sparse_csr_unary_out_erf_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8854365Z   test_sparse_csr_unary_out_erf_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8854569Z   test_sparse_csr_unary_out_erf_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8854762Z   test_sparse_csr_unary_out_erfinv_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8854981Z   test_sparse_csr_unary_out_erfinv_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8855196Z   test_sparse_csr_unary_out_erfinv_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.012s)
2022-11-23T03:14:21.8855406Z   test_sparse_csr_unary_out_erfinv_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8855705Z   test_sparse_csr_unary_out_erfinv_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8855916Z   test_sparse_csr_unary_out_erfinv_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8856712Z   test_sparse_csr_unary_out_erfinv_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8856968Z   test_sparse_csr_unary_out_erfinv_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8857155Z   test_sparse_csr_unary_out_erfinv_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.009s)
2022-11-23T03:14:21.8857344Z   test_sparse_csr_unary_out_expm1_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8857597Z   test_sparse_csr_unary_out_expm1_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8857770Z   test_sparse_csr_unary_out_expm1_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8857990Z   test_sparse_csr_unary_out_expm1_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8858198Z   test_sparse_csr_unary_out_expm1_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8858404Z   test_sparse_csr_unary_out_expm1_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8858738Z   test_sparse_csr_unary_out_expm1_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8858960Z   test_sparse_csr_unary_out_expm1_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8859152Z   test_sparse_csr_unary_out_expm1_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8859364Z   test_sparse_csr_unary_out_expm1_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8859580Z   test_sparse_csr_unary_out_floor_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8859794Z   test_sparse_csr_unary_out_floor_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8860012Z   test_sparse_csr_unary_out_floor_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8860219Z   test_sparse_csr_unary_out_floor_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8860426Z   test_sparse_csr_unary_out_floor_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8860639Z   test_sparse_csr_unary_out_floor_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8860827Z   test_sparse_csr_unary_out_floor_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8861040Z   test_sparse_csr_unary_out_floor_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8861249Z   test_sparse_csr_unary_out_floor_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8861465Z   test_sparse_csr_unary_out_frac_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8861682Z   test_sparse_csr_unary_out_frac_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8861893Z   test_sparse_csr_unary_out_frac_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8862145Z   test_sparse_csr_unary_out_frac_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8862409Z   test_sparse_csr_unary_out_isinf_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8862672Z   test_sparse_csr_unary_out_isinf_cuda_bool (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8862919Z   test_sparse_csr_unary_out_isinf_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.003s)
2022-11-23T03:14:21.8863182Z   test_sparse_csr_unary_out_isinf_cuda_complex32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8863450Z   test_sparse_csr_unary_out_isinf_cuda_complex64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8863793Z   test_sparse_csr_unary_out_isinf_cuda_float16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8864054Z   test_sparse_csr_unary_out_isinf_cuda_float32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8864309Z   test_sparse_csr_unary_out_isinf_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8864567Z   test_sparse_csr_unary_out_isinf_cuda_int16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8864824Z   test_sparse_csr_unary_out_isinf_cuda_int32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8865080Z   test_sparse_csr_unary_out_isinf_cuda_int64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8865339Z   test_sparse_csr_unary_out_isinf_cuda_int8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8865580Z   test_sparse_csr_unary_out_isinf_cuda_uint8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8865840Z   test_sparse_csr_unary_out_isnan_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8866138Z   test_sparse_csr_unary_out_isnan_cuda_bool (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.003s)
2022-11-23T03:14:21.8866408Z   test_sparse_csr_unary_out_isnan_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8866669Z   test_sparse_csr_unary_out_isnan_cuda_complex64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8866926Z   test_sparse_csr_unary_out_isnan_cuda_float16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8867188Z   test_sparse_csr_unary_out_isnan_cuda_float32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8867437Z   test_sparse_csr_unary_out_isnan_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8867697Z   test_sparse_csr_unary_out_isnan_cuda_int16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8867934Z   test_sparse_csr_unary_out_isnan_cuda_int32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8868191Z   test_sparse_csr_unary_out_isnan_cuda_int64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8868444Z   test_sparse_csr_unary_out_isnan_cuda_int8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8868698Z   test_sparse_csr_unary_out_isnan_cuda_uint8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8868928Z   test_sparse_csr_unary_out_isneginf_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8869148Z   test_sparse_csr_unary_out_isneginf_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8869371Z   test_sparse_csr_unary_out_isneginf_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8869593Z   test_sparse_csr_unary_out_isneginf_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8869812Z   test_sparse_csr_unary_out_isneginf_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8870012Z   test_sparse_csr_unary_out_isneginf_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8870233Z   test_sparse_csr_unary_out_isneginf_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8870444Z   test_sparse_csr_unary_out_isneginf_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8870658Z   test_sparse_csr_unary_out_isneginf_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8870933Z   test_sparse_csr_unary_out_isneginf_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8871157Z   test_sparse_csr_unary_out_isposinf_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8871381Z   test_sparse_csr_unary_out_isposinf_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8871604Z   test_sparse_csr_unary_out_isposinf_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8871823Z   test_sparse_csr_unary_out_isposinf_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8872021Z   test_sparse_csr_unary_out_isposinf_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8872238Z   test_sparse_csr_unary_out_isposinf_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8872449Z   test_sparse_csr_unary_out_isposinf_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8872665Z   test_sparse_csr_unary_out_isposinf_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8872881Z   test_sparse_csr_unary_out_isposinf_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8873098Z   test_sparse_csr_unary_out_isposinf_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8873365Z   test_sparse_csr_unary_out_log1p_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8873590Z   test_sparse_csr_unary_out_log1p_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8873786Z   test_sparse_csr_unary_out_log1p_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8874001Z   test_sparse_csr_unary_out_log1p_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8874218Z   test_sparse_csr_unary_out_log1p_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8874433Z   test_sparse_csr_unary_out_log1p_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8874647Z   test_sparse_csr_unary_out_log1p_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8874857Z   test_sparse_csr_unary_out_log1p_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8875072Z   test_sparse_csr_unary_out_log1p_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8875288Z   test_sparse_csr_unary_out_log1p_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8875506Z   test_sparse_csr_unary_out_neg_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8875705Z   test_sparse_csr_unary_out_neg_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8875921Z   test_sparse_csr_unary_out_neg_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8876134Z   test_sparse_csr_unary_out_neg_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8876349Z   test_sparse_csr_unary_out_neg_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8876558Z   test_sparse_csr_unary_out_neg_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8876767Z   test_sparse_csr_unary_out_neg_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8876978Z   test_sparse_csr_unary_out_neg_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8877186Z   test_sparse_csr_unary_out_neg_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8877375Z   test_sparse_csr_unary_out_neg_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8877587Z   test_sparse_csr_unary_out_neg_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8877800Z   test_sparse_csr_unary_out_neg_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8878080Z   test_sparse_csr_unary_out_nn_functional_relu_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8878431Z   test_sparse_csr_unary_out_nn_functional_relu_cuda_float16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8878713Z   test_sparse_csr_unary_out_nn_functional_relu_cuda_float32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8878990Z   test_sparse_csr_unary_out_nn_functional_relu_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8879266Z   test_sparse_csr_unary_out_nn_functional_relu_cuda_int16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8879541Z   test_sparse_csr_unary_out_nn_functional_relu_cuda_int32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8879808Z   test_sparse_csr_unary_out_nn_functional_relu_cuda_int64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8880064Z   test_sparse_csr_unary_out_nn_functional_relu_cuda_int8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8880333Z   test_sparse_csr_unary_out_nn_functional_relu_cuda_uint8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8880648Z   test_sparse_csr_unary_out_positive_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.003s)
2022-11-23T03:14:21.8880926Z   test_sparse_csr_unary_out_positive_cuda_complex128 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8881196Z   test_sparse_csr_unary_out_positive_cuda_complex32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8881465Z   test_sparse_csr_unary_out_positive_cuda_complex64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8881735Z   test_sparse_csr_unary_out_positive_cuda_float16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8881995Z   test_sparse_csr_unary_out_positive_cuda_float32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8882253Z   test_sparse_csr_unary_out_positive_cuda_float64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8882513Z   test_sparse_csr_unary_out_positive_cuda_int16 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8882753Z   test_sparse_csr_unary_out_positive_cuda_int32 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8883014Z   test_sparse_csr_unary_out_positive_cuda_int64 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8883269Z   test_sparse_csr_unary_out_positive_cuda_int8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8883528Z   test_sparse_csr_unary_out_positive_cuda_uint8 (__main__.TestSparseCSRCUDA) ... skip: Skipped! Out not supported (0.002s)
2022-11-23T03:14:21.8883754Z   test_sparse_csr_unary_out_rad2deg_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8883975Z   test_sparse_csr_unary_out_rad2deg_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8884194Z   test_sparse_csr_unary_out_rad2deg_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8884414Z   test_sparse_csr_unary_out_rad2deg_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8884623Z   test_sparse_csr_unary_out_rad2deg_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8884817Z   test_sparse_csr_unary_out_rad2deg_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8885030Z   test_sparse_csr_unary_out_rad2deg_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8885315Z   test_sparse_csr_unary_out_rad2deg_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8885531Z   test_sparse_csr_unary_out_rad2deg_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8885737Z   test_sparse_csr_unary_out_rad2deg_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8885964Z   test_sparse_csr_unary_out_round_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8886181Z   test_sparse_csr_unary_out_round_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8886401Z   test_sparse_csr_unary_out_round_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8886613Z   test_sparse_csr_unary_out_round_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8886808Z   test_sparse_csr_unary_out_round_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8887022Z   test_sparse_csr_unary_out_round_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8887236Z   test_sparse_csr_unary_out_round_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8887445Z   test_sparse_csr_unary_out_round_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8887712Z   test_sparse_csr_unary_out_round_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8887936Z   test_sparse_csr_unary_out_sgn_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8888149Z   test_sparse_csr_unary_out_sgn_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8888367Z   test_sparse_csr_unary_out_sgn_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8888564Z   test_sparse_csr_unary_out_sgn_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8888785Z   test_sparse_csr_unary_out_sgn_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8889000Z   test_sparse_csr_unary_out_sgn_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8889208Z   test_sparse_csr_unary_out_sgn_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8889458Z   test_sparse_csr_unary_out_sgn_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8889630Z   test_sparse_csr_unary_out_sgn_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8889887Z   test_sparse_csr_unary_out_sgn_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8890060Z   test_sparse_csr_unary_out_sgn_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8890265Z   test_sparse_csr_unary_out_sgn_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8890459Z   test_sparse_csr_unary_out_sgn_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8890683Z   test_sparse_csr_unary_out_sign_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8890911Z   test_sparse_csr_unary_out_sign_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8891129Z   test_sparse_csr_unary_out_sign_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8891329Z   test_sparse_csr_unary_out_sign_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8891547Z   test_sparse_csr_unary_out_sign_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8891760Z   test_sparse_csr_unary_out_sign_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8891971Z   test_sparse_csr_unary_out_sign_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8892161Z   test_sparse_csr_unary_out_sign_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8892366Z   test_sparse_csr_unary_out_sign_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8892655Z   test_sparse_csr_unary_out_sign_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8892877Z   test_sparse_csr_unary_out_signbit_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8893088Z   test_sparse_csr_unary_out_signbit_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8893311Z   test_sparse_csr_unary_out_signbit_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8893533Z   test_sparse_csr_unary_out_signbit_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8893753Z   test_sparse_csr_unary_out_signbit_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8893967Z   test_sparse_csr_unary_out_signbit_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8894160Z   test_sparse_csr_unary_out_signbit_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8894369Z   test_sparse_csr_unary_out_signbit_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8894587Z   test_sparse_csr_unary_out_signbit_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8894811Z   test_sparse_csr_unary_out_signbit_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8895020Z   test_sparse_csr_unary_out_sin_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8895290Z   test_sparse_csr_unary_out_sin_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8895524Z   test_sparse_csr_unary_out_sin_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8895737Z   test_sparse_csr_unary_out_sin_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8895931Z   test_sparse_csr_unary_out_sin_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8896493Z   test_sparse_csr_unary_out_sin_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8896719Z   test_sparse_csr_unary_out_sin_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8896893Z   test_sparse_csr_unary_out_sin_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8897106Z   test_sparse_csr_unary_out_sin_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8897318Z   test_sparse_csr_unary_out_sin_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8897523Z   test_sparse_csr_unary_out_sin_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8897735Z   test_sparse_csr_unary_out_sin_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8897946Z   test_sparse_csr_unary_out_sin_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8898141Z   test_sparse_csr_unary_out_sinh_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8898349Z   test_sparse_csr_unary_out_sinh_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8898583Z   test_sparse_csr_unary_out_sinh_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8898802Z   test_sparse_csr_unary_out_sinh_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8899017Z   test_sparse_csr_unary_out_sinh_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8899235Z   test_sparse_csr_unary_out_sinh_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8899449Z   test_sparse_csr_unary_out_sinh_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8899655Z   test_sparse_csr_unary_out_sinh_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8899845Z   test_sparse_csr_unary_out_sinh_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8900055Z   test_sparse_csr_unary_out_sinh_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8900265Z   test_sparse_csr_unary_out_sinh_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8900626Z   test_sparse_csr_unary_out_sinh_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8900861Z   test_sparse_csr_unary_out_sinh_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8901244Z   test_sparse_csr_unary_out_sqrt_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8901613Z   test_sparse_csr_unary_out_sqrt_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8901837Z   test_sparse_csr_unary_out_sqrt_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8902033Z   test_sparse_csr_unary_out_sqrt_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8902250Z   test_sparse_csr_unary_out_sqrt_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8902459Z   test_sparse_csr_unary_out_sqrt_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8902676Z   test_sparse_csr_unary_out_sqrt_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8902881Z   test_sparse_csr_unary_out_sqrt_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8903090Z   test_sparse_csr_unary_out_sqrt_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8903404Z   test_sparse_csr_unary_out_sqrt_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8903621Z   test_sparse_csr_unary_out_sqrt_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8903825Z   test_sparse_csr_unary_out_sqrt_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8904016Z   test_sparse_csr_unary_out_sqrt_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8904224Z   test_sparse_csr_unary_out_tan_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8904432Z   test_sparse_csr_unary_out_tan_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8904656Z   test_sparse_csr_unary_out_tan_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8904872Z   test_sparse_csr_unary_out_tan_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8905088Z   test_sparse_csr_unary_out_tan_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8905303Z   test_sparse_csr_unary_out_tan_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8905520Z   test_sparse_csr_unary_out_tan_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8905709Z   test_sparse_csr_unary_out_tan_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8905921Z   test_sparse_csr_unary_out_tan_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8906132Z   test_sparse_csr_unary_out_tan_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8906343Z   test_sparse_csr_unary_out_tan_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8906550Z   test_sparse_csr_unary_out_tan_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8906752Z   test_sparse_csr_unary_out_tan_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8906974Z   test_sparse_csr_unary_out_tanh_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8907179Z   test_sparse_csr_unary_out_tanh_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8907397Z   test_sparse_csr_unary_out_tanh_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8907598Z   test_sparse_csr_unary_out_tanh_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8907815Z   test_sparse_csr_unary_out_tanh_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8908023Z   test_sparse_csr_unary_out_tanh_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8908292Z   test_sparse_csr_unary_out_tanh_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8908504Z   test_sparse_csr_unary_out_tanh_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8908711Z   test_sparse_csr_unary_out_tanh_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8908922Z   test_sparse_csr_unary_out_tanh_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8909125Z   test_sparse_csr_unary_out_tanh_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8909312Z   test_sparse_csr_unary_out_tanh_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8909524Z   test_sparse_csr_unary_out_tanh_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8909741Z   test_sparse_csr_unary_out_trunc_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8909957Z   test_sparse_csr_unary_out_trunc_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8910171Z   test_sparse_csr_unary_out_trunc_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.011s)
2022-11-23T03:14:21.8910384Z   test_sparse_csr_unary_out_trunc_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8910639Z   test_sparse_csr_unary_out_trunc_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8910857Z   test_sparse_csr_unary_out_trunc_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8911071Z   test_sparse_csr_unary_out_trunc_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8911262Z   test_sparse_csr_unary_out_trunc_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8911471Z   test_sparse_csr_unary_out_trunc_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.010s)
2022-11-23T03:14:21.8911672Z   test_sparse_mm_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.017s)
2022-11-23T03:14:21.8911873Z   test_sparse_mm_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.019s)
2022-11-23T03:14:21.8912065Z   test_sparse_mm_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.017s)
2022-11-23T03:14:21.8912256Z   test_sparse_mm_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.017s)
2022-11-23T03:14:21.8912488Z   test_sparse_to_sparse_compressed_SparseBSC_cuda_float64 (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8912699Z This test tests conversion from COO to CSR and CSC and CSC to CSR and CSC ... ok (0.004s)
2022-11-23T03:14:21.8912903Z   test_sparse_to_sparse_compressed_SparseBSR_cuda_float64 (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8913109Z This test tests conversion from COO to CSR and CSC and CSC to CSR and CSC ... ok (0.004s)
2022-11-23T03:14:21.8913328Z   test_sparse_to_sparse_compressed_SparseCSC_cuda_float64 (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8913532Z This test tests conversion from COO to CSR and CSC and CSC to CSR and CSC ... ok (0.032s)
2022-11-23T03:14:21.8913759Z   test_sparse_to_sparse_compressed_SparseCSR_cuda_float64 (__main__.TestSparseCSRCUDA)
2022-11-23T03:14:21.8913965Z This test tests conversion from COO to CSR and CSC and CSC to CSR and CSC ... ok (0.034s)
2022-11-23T03:14:21.8914184Z   test_sparse_triangular_solve_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.252s)
2022-11-23T03:14:21.8914410Z   test_sparse_triangular_solve_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.243s)
2022-11-23T03:14:21.8914606Z   test_sparse_triangular_solve_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.224s)
2022-11-23T03:14:21.8914821Z   test_sparse_triangular_solve_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.216s)
2022-11-23T03:14:21.8915012Z   test_sum_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.046s)
2022-11-23T03:14:21.8915190Z   test_sum_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.042s)
2022-11-23T03:14:21.8915420Z   test_sum_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.046s)
2022-11-23T03:14:21.8915728Z   test_sum_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.046s)
2022-11-23T03:14:21.8915916Z   test_sum_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.045s)
2022-11-23T03:14:21.8916095Z   test_sum_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.056s)
2022-11-23T03:14:21.8916252Z   test_sum_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.054s)
2022-11-23T03:14:21.8916436Z   test_sum_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.042s)
2022-11-23T03:14:21.8916607Z   test_sum_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.042s)
2022-11-23T03:14:21.8916776Z   test_sum_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.042s)
2022-11-23T03:14:21.8916949Z   test_sum_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.043s)
2022-11-23T03:14:21.8917127Z   test_sum_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.042s)
2022-11-23T03:14:21.8917339Z   test_transpose_SparseBSC_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (4.854s)
2022-11-23T03:14:21.8917548Z   test_transpose_SparseBSC_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (4.699s)
2022-11-23T03:14:21.8917753Z   test_transpose_SparseBSC_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (4.909s)
2022-11-23T03:14:21.8917970Z   test_transpose_SparseBSC_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (4.913s)
2022-11-23T03:14:21.8918184Z   test_transpose_SparseBSC_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (4.872s)
2022-11-23T03:14:21.8918452Z   test_transpose_SparseBSC_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (4.864s)
2022-11-23T03:14:21.8918663Z   test_transpose_SparseBSC_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (4.834s)
2022-11-23T03:14:21.8918871Z   test_transpose_SparseBSC_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (4.719s)
2022-11-23T03:14:21.8919071Z   test_transpose_SparseBSC_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (4.733s)
2022-11-23T03:14:21.8919277Z   test_transpose_SparseBSC_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (4.685s)
2022-11-23T03:14:21.8919449Z   test_transpose_SparseBSC_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (4.722s)
2022-11-23T03:14:21.8919658Z   test_transpose_SparseBSC_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (4.721s)
2022-11-23T03:14:21.8919940Z   test_transpose_SparseBSR_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (4.966s)
2022-11-23T03:14:21.8920076Z   test_transpose_SparseBSR_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (4.822s)
2022-11-23T03:14:21.8920297Z   test_transpose_SparseBSR_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (5.013s)
2022-11-23T03:14:21.8920511Z   test_transpose_SparseBSR_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (5.027s)
2022-11-23T03:14:21.8920723Z   test_transpose_SparseBSR_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (4.991s)
2022-11-23T03:14:21.8920934Z   test_transpose_SparseBSR_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (4.975s)
2022-11-23T03:14:21.8921137Z   test_transpose_SparseBSR_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (4.962s)
2022-11-23T03:14:21.8921329Z   test_transpose_SparseBSR_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (4.822s)
2022-11-23T03:14:21.8921541Z   test_transpose_SparseBSR_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (4.833s)
2022-11-23T03:14:21.8921736Z   test_transpose_SparseBSR_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (4.801s)
2022-11-23T03:14:21.8921940Z   test_transpose_SparseBSR_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (4.829s)
2022-11-23T03:14:21.8922154Z   test_transpose_SparseBSR_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (4.829s)
2022-11-23T03:14:21.8922367Z   test_transpose_SparseCSC_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (2.297s)
2022-11-23T03:14:21.8922575Z   test_transpose_SparseCSC_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (2.218s)
2022-11-23T03:14:21.8922789Z   test_transpose_SparseCSC_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (2.317s)
2022-11-23T03:14:21.8923077Z   test_transpose_SparseCSC_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (2.323s)
2022-11-23T03:14:21.8923242Z   test_transpose_SparseCSC_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (2.296s)
2022-11-23T03:14:21.8923533Z   test_transpose_SparseCSC_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (2.299s)
2022-11-23T03:14:21.8923738Z   test_transpose_SparseCSC_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (2.290s)
2022-11-23T03:14:21.8923941Z   test_transpose_SparseCSC_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (2.233s)
2022-11-23T03:14:21.8924145Z   test_transpose_SparseCSC_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (2.231s)
2022-11-23T03:14:21.8924347Z   test_transpose_SparseCSC_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (2.220s)
2022-11-23T03:14:21.8924551Z   test_transpose_SparseCSC_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (2.229s)
2022-11-23T03:14:21.8924737Z   test_transpose_SparseCSC_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (2.232s)
2022-11-23T03:14:21.8924948Z   test_transpose_SparseCSR_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (2.375s)
2022-11-23T03:14:21.8925155Z   test_transpose_SparseCSR_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (2.301s)
2022-11-23T03:14:21.8925378Z   test_transpose_SparseCSR_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (2.392s)
2022-11-23T03:14:21.8925595Z   test_transpose_SparseCSR_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (2.407s)
2022-11-23T03:14:21.8925802Z   test_transpose_SparseCSR_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (2.374s)
2022-11-23T03:14:21.8926058Z   test_transpose_SparseCSR_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (2.374s)
2022-11-23T03:14:21.8926264Z   test_transpose_SparseCSR_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (2.362s)
2022-11-23T03:14:21.8926467Z   test_transpose_SparseCSR_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (2.307s)
2022-11-23T03:14:21.8926650Z   test_transpose_SparseCSR_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (2.304s)
2022-11-23T03:14:21.8926846Z   test_transpose_SparseCSR_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (2.302s)
2022-11-23T03:14:21.8927052Z   test_transpose_SparseCSR_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (2.310s)
2022-11-23T03:14:21.8927259Z   test_transpose_SparseCSR_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (2.310s)
2022-11-23T03:14:21.8927500Z   test_zero_to_zero_correspondence_unary_abs_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8927737Z   test_zero_to_zero_correspondence_unary_abs_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8927981Z   test_zero_to_zero_correspondence_unary_abs_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8928221Z   test_zero_to_zero_correspondence_unary_abs_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8928442Z   test_zero_to_zero_correspondence_unary_abs_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8928685Z   test_zero_to_zero_correspondence_unary_abs_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8928921Z   test_zero_to_zero_correspondence_unary_abs_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8929156Z   test_zero_to_zero_correspondence_unary_abs_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8929384Z   test_zero_to_zero_correspondence_unary_abs_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8929615Z   test_zero_to_zero_correspondence_unary_abs_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8929835Z   test_zero_to_zero_correspondence_unary_abs_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8930064Z   test_zero_to_zero_correspondence_unary_abs_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8930283Z   test_zero_to_zero_correspondence_unary_abs_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8930499Z   test_zero_to_zero_correspondence_unary_angle_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8930746Z   test_zero_to_zero_correspondence_unary_angle_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8931073Z   test_zero_to_zero_correspondence_unary_angle_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8931361Z   test_zero_to_zero_correspondence_unary_angle_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8931557Z   test_zero_to_zero_correspondence_unary_angle_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8931790Z   test_zero_to_zero_correspondence_unary_angle_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8932021Z   test_zero_to_zero_correspondence_unary_angle_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8932254Z   test_zero_to_zero_correspondence_unary_angle_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8932486Z   test_zero_to_zero_correspondence_unary_angle_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8932704Z   test_zero_to_zero_correspondence_unary_angle_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8932935Z   test_zero_to_zero_correspondence_unary_angle_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8933172Z   test_zero_to_zero_correspondence_unary_asin_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8933454Z   test_zero_to_zero_correspondence_unary_asin_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8933701Z   test_zero_to_zero_correspondence_unary_asin_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8933941Z   test_zero_to_zero_correspondence_unary_asin_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8934177Z   test_zero_to_zero_correspondence_unary_asin_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8934418Z   test_zero_to_zero_correspondence_unary_asin_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8934659Z   test_zero_to_zero_correspondence_unary_asin_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8934911Z   test_zero_to_zero_correspondence_unary_asin_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8935101Z   test_zero_to_zero_correspondence_unary_asin_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8935327Z   test_zero_to_zero_correspondence_unary_asin_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8935553Z   test_zero_to_zero_correspondence_unary_asin_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8935779Z   test_zero_to_zero_correspondence_unary_asin_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8936017Z   test_zero_to_zero_correspondence_unary_asin_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8936677Z   test_zero_to_zero_correspondence_unary_asinh_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8936917Z   test_zero_to_zero_correspondence_unary_asinh_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8937153Z   test_zero_to_zero_correspondence_unary_asinh_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8937382Z   test_zero_to_zero_correspondence_unary_asinh_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8937620Z   test_zero_to_zero_correspondence_unary_asinh_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8937856Z   test_zero_to_zero_correspondence_unary_asinh_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8938094Z   test_zero_to_zero_correspondence_unary_asinh_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8938329Z   test_zero_to_zero_correspondence_unary_asinh_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8938698Z   test_zero_to_zero_correspondence_unary_asinh_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8938924Z   test_zero_to_zero_correspondence_unary_asinh_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8939154Z   test_zero_to_zero_correspondence_unary_asinh_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8939391Z   test_zero_to_zero_correspondence_unary_asinh_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8939605Z   test_zero_to_zero_correspondence_unary_asinh_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8939840Z   test_zero_to_zero_correspondence_unary_atan_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8940074Z   test_zero_to_zero_correspondence_unary_atan_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8940357Z   test_zero_to_zero_correspondence_unary_atan_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8940555Z   test_zero_to_zero_correspondence_unary_atan_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8940797Z   test_zero_to_zero_correspondence_unary_atan_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8941156Z   test_zero_to_zero_correspondence_unary_atan_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8941462Z   test_zero_to_zero_correspondence_unary_atan_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8941700Z   test_zero_to_zero_correspondence_unary_atan_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8941911Z   test_zero_to_zero_correspondence_unary_atan_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8942133Z   test_zero_to_zero_correspondence_unary_atan_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8942354Z   test_zero_to_zero_correspondence_unary_atan_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8942616Z   test_zero_to_zero_correspondence_unary_atan_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8942826Z   test_zero_to_zero_correspondence_unary_atan_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8943071Z   test_zero_to_zero_correspondence_unary_atanh_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8943297Z   test_zero_to_zero_correspondence_unary_atanh_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8943542Z   test_zero_to_zero_correspondence_unary_atanh_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8943784Z   test_zero_to_zero_correspondence_unary_atanh_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8944006Z   test_zero_to_zero_correspondence_unary_atanh_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8944248Z   test_zero_to_zero_correspondence_unary_atanh_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8944484Z   test_zero_to_zero_correspondence_unary_atanh_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8944722Z   test_zero_to_zero_correspondence_unary_atanh_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8944960Z   test_zero_to_zero_correspondence_unary_atanh_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8945191Z   test_zero_to_zero_correspondence_unary_atanh_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8945430Z   test_zero_to_zero_correspondence_unary_atanh_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8945664Z   test_zero_to_zero_correspondence_unary_atanh_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8945893Z   test_zero_to_zero_correspondence_unary_atanh_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8946179Z   test_zero_to_zero_correspondence_unary_ceil_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8946413Z   test_zero_to_zero_correspondence_unary_ceil_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8946651Z   test_zero_to_zero_correspondence_unary_ceil_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8946893Z   test_zero_to_zero_correspondence_unary_ceil_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8947125Z   test_zero_to_zero_correspondence_unary_ceil_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8947353Z   test_zero_to_zero_correspondence_unary_ceil_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8947580Z   test_zero_to_zero_correspondence_unary_ceil_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8947813Z   test_zero_to_zero_correspondence_unary_ceil_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8948047Z   test_zero_to_zero_correspondence_unary_ceil_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8948284Z   test_zero_to_zero_correspondence_unary_conj_physical_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8948583Z   test_zero_to_zero_correspondence_unary_conj_physical_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8948852Z   test_zero_to_zero_correspondence_unary_conj_physical_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8949112Z   test_zero_to_zero_correspondence_unary_conj_physical_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8949362Z   test_zero_to_zero_correspondence_unary_conj_physical_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8949617Z   test_zero_to_zero_correspondence_unary_conj_physical_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8949872Z   test_zero_to_zero_correspondence_unary_conj_physical_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8950125Z   test_zero_to_zero_correspondence_unary_conj_physical_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8950378Z   test_zero_to_zero_correspondence_unary_conj_physical_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8950605Z   test_zero_to_zero_correspondence_unary_conj_physical_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8950850Z   test_zero_to_zero_correspondence_unary_conj_physical_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8951099Z   test_zero_to_zero_correspondence_unary_conj_physical_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8951349Z   test_zero_to_zero_correspondence_unary_conj_physical_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8951592Z   test_zero_to_zero_correspondence_unary_deg2rad_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8951831Z   test_zero_to_zero_correspondence_unary_deg2rad_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8952071Z   test_zero_to_zero_correspondence_unary_deg2rad_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8952321Z   test_zero_to_zero_correspondence_unary_deg2rad_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8952558Z   test_zero_to_zero_correspondence_unary_deg2rad_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8952781Z   test_zero_to_zero_correspondence_unary_deg2rad_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8953015Z   test_zero_to_zero_correspondence_unary_deg2rad_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8953253Z   test_zero_to_zero_correspondence_unary_deg2rad_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8953566Z   test_zero_to_zero_correspondence_unary_deg2rad_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8953803Z   test_zero_to_zero_correspondence_unary_deg2rad_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8954039Z   test_zero_to_zero_correspondence_unary_erf_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8954275Z   test_zero_to_zero_correspondence_unary_erf_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8954508Z   test_zero_to_zero_correspondence_unary_erf_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8954741Z   test_zero_to_zero_correspondence_unary_erf_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8954948Z   test_zero_to_zero_correspondence_unary_erf_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8955184Z   test_zero_to_zero_correspondence_unary_erf_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8955418Z   test_zero_to_zero_correspondence_unary_erf_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8955639Z   test_zero_to_zero_correspondence_unary_erf_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8955945Z   test_zero_to_zero_correspondence_unary_erf_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8956189Z   test_zero_to_zero_correspondence_unary_erf_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8956422Z   test_zero_to_zero_correspondence_unary_erfinv_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8956665Z   test_zero_to_zero_correspondence_unary_erfinv_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8956910Z   test_zero_to_zero_correspondence_unary_erfinv_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8957130Z   test_zero_to_zero_correspondence_unary_erfinv_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8957372Z   test_zero_to_zero_correspondence_unary_erfinv_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8957612Z   test_zero_to_zero_correspondence_unary_erfinv_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8957852Z   test_zero_to_zero_correspondence_unary_erfinv_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8958090Z   test_zero_to_zero_correspondence_unary_erfinv_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8958325Z   test_zero_to_zero_correspondence_unary_erfinv_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8958561Z   test_zero_to_zero_correspondence_unary_expm1_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8958796Z   test_zero_to_zero_correspondence_unary_expm1_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8959038Z   test_zero_to_zero_correspondence_unary_expm1_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8959253Z   test_zero_to_zero_correspondence_unary_expm1_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8959489Z   test_zero_to_zero_correspondence_unary_expm1_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8959726Z   test_zero_to_zero_correspondence_unary_expm1_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8959958Z   test_zero_to_zero_correspondence_unary_expm1_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8960191Z   test_zero_to_zero_correspondence_unary_expm1_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8960425Z   test_zero_to_zero_correspondence_unary_expm1_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8960659Z   test_zero_to_zero_correspondence_unary_expm1_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8960961Z   test_zero_to_zero_correspondence_unary_floor_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8961200Z   test_zero_to_zero_correspondence_unary_floor_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8961421Z   test_zero_to_zero_correspondence_unary_floor_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8961656Z   test_zero_to_zero_correspondence_unary_floor_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8961882Z   test_zero_to_zero_correspondence_unary_floor_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8962107Z   test_zero_to_zero_correspondence_unary_floor_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8962336Z   test_zero_to_zero_correspondence_unary_floor_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8962569Z   test_zero_to_zero_correspondence_unary_floor_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8962808Z   test_zero_to_zero_correspondence_unary_floor_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8963042Z   test_zero_to_zero_correspondence_unary_frac_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8963324Z   test_zero_to_zero_correspondence_unary_frac_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8963546Z   test_zero_to_zero_correspondence_unary_frac_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8963778Z   test_zero_to_zero_correspondence_unary_frac_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8964020Z   test_zero_to_zero_correspondence_unary_isinf_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8964257Z   test_zero_to_zero_correspondence_unary_isinf_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8964509Z   test_zero_to_zero_correspondence_unary_isinf_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8964751Z   test_zero_to_zero_correspondence_unary_isinf_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8964996Z   test_zero_to_zero_correspondence_unary_isinf_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8965238Z   test_zero_to_zero_correspondence_unary_isinf_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8965474Z   test_zero_to_zero_correspondence_unary_isinf_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8965686Z   test_zero_to_zero_correspondence_unary_isinf_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8965917Z   test_zero_to_zero_correspondence_unary_isinf_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8966149Z   test_zero_to_zero_correspondence_unary_isinf_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8966394Z   test_zero_to_zero_correspondence_unary_isinf_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8966625Z   test_zero_to_zero_correspondence_unary_isinf_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8966851Z   test_zero_to_zero_correspondence_unary_isinf_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8967092Z   test_zero_to_zero_correspondence_unary_isnan_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8967331Z   test_zero_to_zero_correspondence_unary_isnan_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8967577Z   test_zero_to_zero_correspondence_unary_isnan_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8967798Z   test_zero_to_zero_correspondence_unary_isnan_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8968035Z   test_zero_to_zero_correspondence_unary_isnan_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8968350Z   test_zero_to_zero_correspondence_unary_isnan_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8968600Z   test_zero_to_zero_correspondence_unary_isnan_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8968835Z   test_zero_to_zero_correspondence_unary_isnan_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8969068Z   test_zero_to_zero_correspondence_unary_isnan_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8969294Z   test_zero_to_zero_correspondence_unary_isnan_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8969530Z   test_zero_to_zero_correspondence_unary_isnan_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8969766Z   test_zero_to_zero_correspondence_unary_isnan_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8969997Z   test_zero_to_zero_correspondence_unary_isneginf_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8970240Z   test_zero_to_zero_correspondence_unary_isneginf_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8970488Z   test_zero_to_zero_correspondence_unary_isneginf_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8970798Z   test_zero_to_zero_correspondence_unary_isneginf_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8971043Z   test_zero_to_zero_correspondence_unary_isneginf_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8971280Z   test_zero_to_zero_correspondence_unary_isneginf_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8971522Z   test_zero_to_zero_correspondence_unary_isneginf_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8971759Z   test_zero_to_zero_correspondence_unary_isneginf_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8972004Z   test_zero_to_zero_correspondence_unary_isneginf_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8972227Z   test_zero_to_zero_correspondence_unary_isneginf_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8972482Z   test_zero_to_zero_correspondence_unary_isposinf_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8972724Z   test_zero_to_zero_correspondence_unary_isposinf_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8972965Z   test_zero_to_zero_correspondence_unary_isposinf_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8973208Z   test_zero_to_zero_correspondence_unary_isposinf_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8973444Z   test_zero_to_zero_correspondence_unary_isposinf_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8973685Z   test_zero_to_zero_correspondence_unary_isposinf_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8973929Z   test_zero_to_zero_correspondence_unary_isposinf_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8974164Z   test_zero_to_zero_correspondence_unary_isposinf_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8974388Z   test_zero_to_zero_correspondence_unary_isposinf_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8974634Z   test_zero_to_zero_correspondence_unary_isposinf_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8974867Z   test_zero_to_zero_correspondence_unary_log1p_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8975102Z   test_zero_to_zero_correspondence_unary_log1p_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8975340Z   test_zero_to_zero_correspondence_unary_log1p_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8975684Z   test_zero_to_zero_correspondence_unary_log1p_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8975918Z   test_zero_to_zero_correspondence_unary_log1p_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8976622Z   test_zero_to_zero_correspondence_unary_log1p_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8976791Z   test_zero_to_zero_correspondence_unary_log1p_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8977026Z   test_zero_to_zero_correspondence_unary_log1p_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8977246Z   test_zero_to_zero_correspondence_unary_log1p_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8977480Z   test_zero_to_zero_correspondence_unary_log1p_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8977719Z   test_zero_to_zero_correspondence_unary_neg_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8977965Z   test_zero_to_zero_correspondence_unary_neg_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8978202Z   test_zero_to_zero_correspondence_unary_neg_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8978584Z   test_zero_to_zero_correspondence_unary_neg_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8978831Z   test_zero_to_zero_correspondence_unary_neg_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8979070Z   test_zero_to_zero_correspondence_unary_neg_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8979279Z   test_zero_to_zero_correspondence_unary_neg_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8979514Z   test_zero_to_zero_correspondence_unary_neg_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8979740Z   test_zero_to_zero_correspondence_unary_neg_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8979968Z   test_zero_to_zero_correspondence_unary_neg_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8980195Z   test_zero_to_zero_correspondence_unary_neg_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8980430Z   test_zero_to_zero_correspondence_unary_neg_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8980693Z   test_zero_to_zero_correspondence_unary_nn_functional_relu_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8980951Z   test_zero_to_zero_correspondence_unary_nn_functional_relu_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8981199Z   test_zero_to_zero_correspondence_unary_nn_functional_relu_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8981432Z   test_zero_to_zero_correspondence_unary_nn_functional_relu_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8981694Z   test_zero_to_zero_correspondence_unary_nn_functional_relu_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8981940Z   test_zero_to_zero_correspondence_unary_nn_functional_relu_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8982185Z   test_zero_to_zero_correspondence_unary_nn_functional_relu_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8982434Z   test_zero_to_zero_correspondence_unary_nn_functional_relu_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8982687Z   test_zero_to_zero_correspondence_unary_nn_functional_relu_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8982932Z   test_zero_to_zero_correspondence_unary_positive_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8983181Z   test_zero_to_zero_correspondence_unary_positive_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8983522Z   test_zero_to_zero_correspondence_unary_positive_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8983766Z   test_zero_to_zero_correspondence_unary_positive_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8983994Z   test_zero_to_zero_correspondence_unary_positive_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8984236Z   test_zero_to_zero_correspondence_unary_positive_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8984473Z   test_zero_to_zero_correspondence_unary_positive_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8984718Z   test_zero_to_zero_correspondence_unary_positive_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8984955Z   test_zero_to_zero_correspondence_unary_positive_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8985194Z   test_zero_to_zero_correspondence_unary_positive_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8985439Z   test_zero_to_zero_correspondence_unary_positive_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8985679Z   test_zero_to_zero_correspondence_unary_positive_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8985971Z   test_zero_to_zero_correspondence_unary_rad2deg_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8986198Z   test_zero_to_zero_correspondence_unary_rad2deg_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8986439Z   test_zero_to_zero_correspondence_unary_rad2deg_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8986684Z   test_zero_to_zero_correspondence_unary_rad2deg_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8986921Z   test_zero_to_zero_correspondence_unary_rad2deg_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8987163Z   test_zero_to_zero_correspondence_unary_rad2deg_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8987403Z   test_zero_to_zero_correspondence_unary_rad2deg_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8987639Z   test_zero_to_zero_correspondence_unary_rad2deg_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8987883Z   test_zero_to_zero_correspondence_unary_rad2deg_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8988123Z   test_zero_to_zero_correspondence_unary_rad2deg_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8988346Z   test_zero_to_zero_correspondence_unary_round_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8988584Z   test_zero_to_zero_correspondence_unary_round_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8988818Z   test_zero_to_zero_correspondence_unary_round_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8989055Z   test_zero_to_zero_correspondence_unary_round_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8989288Z   test_zero_to_zero_correspondence_unary_round_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8989524Z   test_zero_to_zero_correspondence_unary_round_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8989757Z   test_zero_to_zero_correspondence_unary_round_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8989993Z   test_zero_to_zero_correspondence_unary_round_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8990225Z   test_zero_to_zero_correspondence_unary_round_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8990440Z   test_zero_to_zero_correspondence_unary_sgn_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8990674Z   test_zero_to_zero_correspondence_unary_sgn_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8990981Z   test_zero_to_zero_correspondence_unary_sgn_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8991220Z   test_zero_to_zero_correspondence_unary_sgn_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8991457Z   test_zero_to_zero_correspondence_unary_sgn_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8991761Z   test_zero_to_zero_correspondence_unary_sgn_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8991973Z   test_zero_to_zero_correspondence_unary_sgn_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8992153Z   test_zero_to_zero_correspondence_unary_sgn_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8992386Z   test_zero_to_zero_correspondence_unary_sgn_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8992602Z   test_zero_to_zero_correspondence_unary_sgn_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8992831Z   test_zero_to_zero_correspondence_unary_sgn_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8993063Z   test_zero_to_zero_correspondence_unary_sgn_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8993343Z   test_zero_to_zero_correspondence_unary_sgn_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8993587Z   test_zero_to_zero_correspondence_unary_sign_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8993812Z   test_zero_to_zero_correspondence_unary_sign_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8994051Z   test_zero_to_zero_correspondence_unary_sign_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8994285Z   test_zero_to_zero_correspondence_unary_sign_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8994525Z   test_zero_to_zero_correspondence_unary_sign_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8994739Z   test_zero_to_zero_correspondence_unary_sign_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8994973Z   test_zero_to_zero_correspondence_unary_sign_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8995206Z   test_zero_to_zero_correspondence_unary_sign_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8995439Z   test_zero_to_zero_correspondence_unary_sign_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8995666Z   test_zero_to_zero_correspondence_unary_sign_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8995908Z   test_zero_to_zero_correspondence_unary_signbit_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8996146Z   test_zero_to_zero_correspondence_unary_signbit_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8996395Z   test_zero_to_zero_correspondence_unary_signbit_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8996635Z   test_zero_to_zero_correspondence_unary_signbit_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8996857Z   test_zero_to_zero_correspondence_unary_signbit_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8997093Z   test_zero_to_zero_correspondence_unary_signbit_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8997323Z   test_zero_to_zero_correspondence_unary_signbit_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8997562Z   test_zero_to_zero_correspondence_unary_signbit_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8997795Z   test_zero_to_zero_correspondence_unary_signbit_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8998103Z   test_zero_to_zero_correspondence_unary_signbit_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.8998344Z   test_zero_to_zero_correspondence_unary_sin_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8998573Z   test_zero_to_zero_correspondence_unary_sin_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8998817Z   test_zero_to_zero_correspondence_unary_sin_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8999035Z   test_zero_to_zero_correspondence_unary_sin_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8999275Z   test_zero_to_zero_correspondence_unary_sin_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8999517Z   test_zero_to_zero_correspondence_unary_sin_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.8999747Z   test_zero_to_zero_correspondence_unary_sin_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.8999985Z   test_zero_to_zero_correspondence_unary_sin_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9000216Z   test_zero_to_zero_correspondence_unary_sin_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9000447Z   test_zero_to_zero_correspondence_unary_sin_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9000724Z   test_zero_to_zero_correspondence_unary_sin_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9000941Z   test_zero_to_zero_correspondence_unary_sin_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9001178Z   test_zero_to_zero_correspondence_unary_sin_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9001415Z   test_zero_to_zero_correspondence_unary_sinh_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9001641Z   test_zero_to_zero_correspondence_unary_sinh_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9001888Z   test_zero_to_zero_correspondence_unary_sinh_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9002173Z   test_zero_to_zero_correspondence_unary_sinh_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9002419Z   test_zero_to_zero_correspondence_unary_sinh_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9002654Z   test_zero_to_zero_correspondence_unary_sinh_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9002888Z   test_zero_to_zero_correspondence_unary_sinh_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9003102Z   test_zero_to_zero_correspondence_unary_sinh_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9003335Z   test_zero_to_zero_correspondence_unary_sinh_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9003558Z   test_zero_to_zero_correspondence_unary_sinh_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9003784Z   test_zero_to_zero_correspondence_unary_sinh_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9004013Z   test_zero_to_zero_correspondence_unary_sinh_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9004242Z   test_zero_to_zero_correspondence_unary_sinh_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9004481Z   test_zero_to_zero_correspondence_unary_sqrt_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9004706Z   test_zero_to_zero_correspondence_unary_sqrt_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9004948Z   test_zero_to_zero_correspondence_unary_sqrt_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9005168Z   test_zero_to_zero_correspondence_unary_sqrt_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9005475Z   test_zero_to_zero_correspondence_unary_sqrt_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9005707Z   test_zero_to_zero_correspondence_unary_sqrt_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9005939Z   test_zero_to_zero_correspondence_unary_sqrt_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9006176Z   test_zero_to_zero_correspondence_unary_sqrt_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9006406Z   test_zero_to_zero_correspondence_unary_sqrt_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9006631Z   test_zero_to_zero_correspondence_unary_sqrt_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9006861Z   test_zero_to_zero_correspondence_unary_sqrt_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9007091Z   test_zero_to_zero_correspondence_unary_sqrt_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9007302Z   test_zero_to_zero_correspondence_unary_sqrt_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9007542Z   test_zero_to_zero_correspondence_unary_tan_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9007773Z   test_zero_to_zero_correspondence_unary_tan_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9008083Z   test_zero_to_zero_correspondence_unary_tan_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9008330Z   test_zero_to_zero_correspondence_unary_tan_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9008569Z   test_zero_to_zero_correspondence_unary_tan_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9008802Z   test_zero_to_zero_correspondence_unary_tan_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9009036Z   test_zero_to_zero_correspondence_unary_tan_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9009267Z   test_zero_to_zero_correspondence_unary_tan_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9009476Z   test_zero_to_zero_correspondence_unary_tan_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9009710Z   test_zero_to_zero_correspondence_unary_tan_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9009939Z   test_zero_to_zero_correspondence_unary_tan_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9010167Z   test_zero_to_zero_correspondence_unary_tan_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9010395Z   test_zero_to_zero_correspondence_unary_tan_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9010632Z   test_zero_to_zero_correspondence_unary_tanh_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9010857Z   test_zero_to_zero_correspondence_unary_tanh_cuda_bool (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9011102Z   test_zero_to_zero_correspondence_unary_tanh_cuda_complex128 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9011342Z   test_zero_to_zero_correspondence_unary_tanh_cuda_complex32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9011561Z   test_zero_to_zero_correspondence_unary_tanh_cuda_complex64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9011794Z   test_zero_to_zero_correspondence_unary_tanh_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9012030Z   test_zero_to_zero_correspondence_unary_tanh_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9012262Z   test_zero_to_zero_correspondence_unary_tanh_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9012496Z   test_zero_to_zero_correspondence_unary_tanh_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9012802Z   test_zero_to_zero_correspondence_unary_tanh_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9013026Z   test_zero_to_zero_correspondence_unary_tanh_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9013272Z   test_zero_to_zero_correspondence_unary_tanh_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9013510Z   test_zero_to_zero_correspondence_unary_tanh_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9013730Z   test_zero_to_zero_correspondence_unary_trunc_cuda_bfloat16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9013967Z   test_zero_to_zero_correspondence_unary_trunc_cuda_float16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9014203Z   test_zero_to_zero_correspondence_unary_trunc_cuda_float32 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9014435Z   test_zero_to_zero_correspondence_unary_trunc_cuda_float64 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9014674Z   test_zero_to_zero_correspondence_unary_trunc_cuda_int16 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9014905Z   test_zero_to_zero_correspondence_unary_trunc_cuda_int32 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.9015131Z   test_zero_to_zero_correspondence_unary_trunc_cuda_int64 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.9015419Z   test_zero_to_zero_correspondence_unary_trunc_cuda_int8 (__main__.TestSparseCSRCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9015660Z   test_zero_to_zero_correspondence_unary_trunc_cuda_uint8 (__main__.TestSparseCSRCUDA) ... ok (0.004s)
2022-11-23T03:14:21.9015893Z   test_make_crow_indices (__main__.TestSparseCSRSampler) ... ok (0.744s)
2022-11-23T03:14:21.9016176Z   test_clone_SparseBSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.021s)
2022-11-23T03:14:21.9016559Z   test_clone_SparseBSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.013s)
2022-11-23T03:14:21.9016782Z   test_clone_SparseBSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.015s)
2022-11-23T03:14:21.9017006Z   test_clone_SparseBSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.015s)
2022-11-23T03:14:21.9017238Z   test_clone_SparseBSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.015s)
2022-11-23T03:14:21.9017458Z   test_clone_SparseBSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9017671Z   test_clone_SparseBSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9017871Z   test_clone_SparseBSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9018087Z   test_clone_SparseBSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.013s)
2022-11-23T03:14:21.9018296Z   test_clone_SparseBSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9018509Z   test_clone_SparseBSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.013s)
2022-11-23T03:14:21.9018729Z   test_clone_SparseBSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.013s)
2022-11-23T03:14:21.9018951Z   test_clone_SparseBSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9019162Z   test_clone_SparseBSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9019389Z   test_clone_SparseBSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.015s)
2022-11-23T03:14:21.9019610Z   test_clone_SparseBSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9019808Z   test_clone_SparseBSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.015s)
2022-11-23T03:14:21.9020016Z   test_clone_SparseBSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9020232Z   test_clone_SparseBSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9020555Z   test_clone_SparseBSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9020901Z   test_clone_SparseBSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.013s)
2022-11-23T03:14:21.9021108Z   test_clone_SparseBSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9021321Z   test_clone_SparseBSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.013s)
2022-11-23T03:14:21.9021541Z   test_clone_SparseBSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.013s)
2022-11-23T03:14:21.9021743Z   test_clone_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.009s)
2022-11-23T03:14:21.9021962Z   test_clone_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9022186Z   test_clone_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.010s)
2022-11-23T03:14:21.9022407Z   test_clone_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.010s)
2022-11-23T03:14:21.9022625Z   test_clone_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.009s)
2022-11-23T03:14:21.9022848Z   test_clone_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.010s)
2022-11-23T03:14:21.9023067Z   test_clone_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.009s)
2022-11-23T03:14:21.9023282Z   test_clone_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.009s)
2022-11-23T03:14:21.9023567Z   test_clone_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.009s)
2022-11-23T03:14:21.9023768Z   test_clone_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9023984Z   test_clone_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9024191Z   test_clone_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9024414Z   test_clone_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.010s)
2022-11-23T03:14:21.9024630Z   test_clone_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9024863Z   test_clone_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.010s)
2022-11-23T03:14:21.9025084Z   test_clone_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.010s)
2022-11-23T03:14:21.9025306Z   test_clone_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.010s)
2022-11-23T03:14:21.9025509Z   test_clone_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.010s)
2022-11-23T03:14:21.9025728Z   test_clone_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.010s)
2022-11-23T03:14:21.9025945Z   test_clone_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.009s)
2022-11-23T03:14:21.9026152Z   test_clone_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9026355Z   test_clone_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9026573Z   test_clone_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9026782Z   test_clone_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9027025Z   test_consistency_SparseBSC_abs_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9027246Z   test_consistency_SparseBSC_abs_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9027499Z   test_consistency_SparseBSC_abs_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9027739Z   test_consistency_SparseBSC_abs_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9027972Z   test_consistency_SparseBSC_abs_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9028212Z   test_consistency_SparseBSC_abs_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9028451Z   test_consistency_SparseBSC_abs_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9028764Z   test_consistency_SparseBSC_abs_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9028998Z   test_consistency_SparseBSC_abs_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9029235Z   test_consistency_SparseBSC_abs_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9029449Z   test_consistency_SparseBSC_abs_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9029687Z   test_consistency_SparseBSC_abs_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9029918Z   test_consistency_SparseBSC_abs_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9030157Z   test_consistency_SparseBSC_angle_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9030402Z   test_consistency_SparseBSC_angle_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9030657Z   test_consistency_SparseBSC_angle_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9030902Z   test_consistency_SparseBSC_angle_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9031207Z   test_consistency_SparseBSC_angle_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9031450Z   test_consistency_SparseBSC_angle_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9031665Z   test_consistency_SparseBSC_angle_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9031909Z   test_consistency_SparseBSC_angle_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9032142Z   test_consistency_SparseBSC_angle_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9032376Z   test_consistency_SparseBSC_angle_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9032617Z   test_consistency_SparseBSC_angle_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9032856Z   test_consistency_SparseBSC_asin_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9033092Z   test_consistency_SparseBSC_asin_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9033334Z   test_consistency_SparseBSC_asin_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9033575Z   test_consistency_SparseBSC_asin_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9033794Z   test_consistency_SparseBSC_asin_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9034036Z   test_consistency_SparseBSC_asin_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9034268Z   test_consistency_SparseBSC_asin_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9034516Z   test_consistency_SparseBSC_asin_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9034751Z   test_consistency_SparseBSC_asin_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9034986Z   test_consistency_SparseBSC_asin_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9035225Z   test_consistency_SparseBSC_asin_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9035462Z   test_consistency_SparseBSC_asin_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9035676Z   test_consistency_SparseBSC_asin_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9035924Z   test_consistency_SparseBSC_asinh_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9036154Z   test_consistency_SparseBSC_asinh_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9036475Z   test_consistency_SparseBSC_asinh_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9036718Z   test_consistency_SparseBSC_asinh_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9036965Z   test_consistency_SparseBSC_asinh_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9037204Z   test_consistency_SparseBSC_asinh_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9037435Z   test_consistency_SparseBSC_asinh_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9037664Z   test_consistency_SparseBSC_asinh_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9037878Z   test_consistency_SparseBSC_asinh_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9038112Z   test_consistency_SparseBSC_asinh_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9038356Z   test_consistency_SparseBSC_asinh_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9038593Z   test_consistency_SparseBSC_asinh_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9038880Z   test_consistency_SparseBSC_asinh_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9039125Z   test_consistency_SparseBSC_atan_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9039366Z   test_consistency_SparseBSC_atan_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9039612Z   test_consistency_SparseBSC_atan_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9039857Z   test_consistency_SparseBSC_atan_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9040074Z   test_consistency_SparseBSC_atan_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9040318Z   test_consistency_SparseBSC_atan_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9040556Z   test_consistency_SparseBSC_atan_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9040791Z   test_consistency_SparseBSC_atan_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9041025Z   test_consistency_SparseBSC_atan_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9041256Z   test_consistency_SparseBSC_atan_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9041492Z   test_consistency_SparseBSC_atan_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9041731Z   test_consistency_SparseBSC_atan_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9041964Z   test_consistency_SparseBSC_atan_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9042197Z   test_consistency_SparseBSC_atanh_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9042432Z   test_consistency_SparseBSC_atanh_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9042682Z   test_consistency_SparseBSC_atanh_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9042930Z   test_consistency_SparseBSC_atanh_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9043174Z   test_consistency_SparseBSC_atanh_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9043415Z   test_consistency_SparseBSC_atanh_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9043648Z   test_consistency_SparseBSC_atanh_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9043887Z   test_consistency_SparseBSC_atanh_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9044203Z   test_consistency_SparseBSC_atanh_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9044424Z   test_consistency_SparseBSC_atanh_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9044668Z   test_consistency_SparseBSC_atanh_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9044904Z   test_consistency_SparseBSC_atanh_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9045137Z   test_consistency_SparseBSC_atanh_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9045384Z   test_consistency_SparseBSC_ceil_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9045626Z   test_consistency_SparseBSC_ceil_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9045859Z   test_consistency_SparseBSC_ceil_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9046095Z   test_consistency_SparseBSC_ceil_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9046309Z   test_consistency_SparseBSC_ceil_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9046610Z   test_consistency_SparseBSC_ceil_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9046851Z   test_consistency_SparseBSC_ceil_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9047087Z   test_consistency_SparseBSC_ceil_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9047318Z   test_consistency_SparseBSC_ceil_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9047583Z   test_consistency_SparseBSC_conj_physical_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9047835Z   test_consistency_SparseBSC_conj_physical_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9048100Z   test_consistency_SparseBSC_conj_physical_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9048358Z   test_consistency_SparseBSC_conj_physical_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9048603Z   test_consistency_SparseBSC_conj_physical_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9048866Z   test_consistency_SparseBSC_conj_physical_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9049117Z   test_consistency_SparseBSC_conj_physical_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9049371Z   test_consistency_SparseBSC_conj_physical_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9049618Z   test_consistency_SparseBSC_conj_physical_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9049873Z   test_consistency_SparseBSC_conj_physical_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9050119Z   test_consistency_SparseBSC_conj_physical_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9050376Z   test_consistency_SparseBSC_conj_physical_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9050627Z   test_consistency_SparseBSC_conj_physical_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9050859Z   test_consistency_SparseBSC_deg2rad_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9051102Z   test_consistency_SparseBSC_deg2rad_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9051353Z   test_consistency_SparseBSC_deg2rad_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9051588Z   test_consistency_SparseBSC_deg2rad_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9051905Z   test_consistency_SparseBSC_deg2rad_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9052146Z   test_consistency_SparseBSC_deg2rad_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9052386Z   test_consistency_SparseBSC_deg2rad_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9052626Z   test_consistency_SparseBSC_deg2rad_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9052866Z   test_consistency_SparseBSC_deg2rad_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9053083Z   test_consistency_SparseBSC_deg2rad_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9053326Z   test_consistency_SparseBSC_erf_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9053561Z   test_consistency_SparseBSC_erf_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9053803Z   test_consistency_SparseBSC_erf_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9054044Z   test_consistency_SparseBSC_erf_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9054344Z   test_consistency_SparseBSC_erf_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9054588Z   test_consistency_SparseBSC_erf_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9054824Z   test_consistency_SparseBSC_erf_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9055061Z   test_consistency_SparseBSC_erf_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9055276Z   test_consistency_SparseBSC_erf_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9055510Z   test_consistency_SparseBSC_erf_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9055757Z   test_consistency_SparseBSC_erfinv_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9056009Z   test_consistency_SparseBSC_erfinv_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9056798Z   test_consistency_SparseBSC_erfinv_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9057042Z   test_consistency_SparseBSC_erfinv_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9057323Z   test_consistency_SparseBSC_erfinv_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9057520Z   test_consistency_SparseBSC_erfinv_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9057750Z   test_consistency_SparseBSC_erfinv_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9057966Z   test_consistency_SparseBSC_erfinv_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9058214Z   test_consistency_SparseBSC_erfinv_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9058459Z   test_consistency_SparseBSC_expm1_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9058694Z   test_consistency_SparseBSC_expm1_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9058940Z   test_consistency_SparseBSC_expm1_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9059180Z   test_consistency_SparseBSC_expm1_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9059411Z   test_consistency_SparseBSC_expm1_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9059647Z   test_consistency_SparseBSC_expm1_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9059862Z   test_consistency_SparseBSC_expm1_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9060262Z   test_consistency_SparseBSC_expm1_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9060496Z   test_consistency_SparseBSC_expm1_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9060734Z   test_consistency_SparseBSC_expm1_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9060976Z   test_consistency_SparseBSC_floor_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9061215Z   test_consistency_SparseBSC_floor_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9061453Z   test_consistency_SparseBSC_floor_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9061688Z   test_consistency_SparseBSC_floor_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9061917Z   test_consistency_SparseBSC_floor_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9062131Z   test_consistency_SparseBSC_floor_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9062363Z   test_consistency_SparseBSC_floor_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9062676Z   test_consistency_SparseBSC_floor_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9062916Z   test_consistency_SparseBSC_floor_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9063150Z   test_consistency_SparseBSC_frac_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9063386Z   test_consistency_SparseBSC_frac_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9063616Z   test_consistency_SparseBSC_frac_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9063845Z   test_consistency_SparseBSC_frac_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9064098Z   test_consistency_SparseBSC_isinf_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9064313Z   test_consistency_SparseBSC_isinf_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9064563Z   test_consistency_SparseBSC_isinf_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9064811Z   test_consistency_SparseBSC_isinf_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9065051Z   test_consistency_SparseBSC_isinf_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9065292Z   test_consistency_SparseBSC_isinf_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9065529Z   test_consistency_SparseBSC_isinf_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9065758Z   test_consistency_SparseBSC_isinf_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9065999Z   test_consistency_SparseBSC_isinf_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9066229Z   test_consistency_SparseBSC_isinf_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9066449Z   test_consistency_SparseBSC_isinf_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9066684Z   test_consistency_SparseBSC_isinf_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9066917Z   test_consistency_SparseBSC_isinf_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9067161Z   test_consistency_SparseBSC_isnan_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9067397Z   test_consistency_SparseBSC_isnan_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9067640Z   test_consistency_SparseBSC_isnan_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9067952Z   test_consistency_SparseBSC_isnan_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9068194Z   test_consistency_SparseBSC_isnan_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9068434Z   test_consistency_SparseBSC_isnan_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9068648Z   test_consistency_SparseBSC_isnan_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9068879Z   test_consistency_SparseBSC_isnan_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9069110Z   test_consistency_SparseBSC_isnan_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9069345Z   test_consistency_SparseBSC_isnan_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9069582Z   test_consistency_SparseBSC_isnan_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9069817Z   test_consistency_SparseBSC_isnan_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9070065Z   test_consistency_SparseBSC_isneginf_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9070363Z   test_consistency_SparseBSC_isneginf_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9070600Z   test_consistency_SparseBSC_isneginf_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9070850Z   test_consistency_SparseBSC_isneginf_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9071097Z   test_consistency_SparseBSC_isneginf_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9071342Z   test_consistency_SparseBSC_isneginf_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9071587Z   test_consistency_SparseBSC_isneginf_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9071824Z   test_consistency_SparseBSC_isneginf_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9072062Z   test_consistency_SparseBSC_isneginf_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9072308Z   test_consistency_SparseBSC_isneginf_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9072556Z   test_consistency_SparseBSC_isposinf_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9072776Z   test_consistency_SparseBSC_isposinf_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9073019Z   test_consistency_SparseBSC_isposinf_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9073266Z   test_consistency_SparseBSC_isposinf_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9073584Z   test_consistency_SparseBSC_isposinf_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9073830Z   test_consistency_SparseBSC_isposinf_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9074070Z   test_consistency_SparseBSC_isposinf_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9074310Z   test_consistency_SparseBSC_isposinf_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9074555Z   test_consistency_SparseBSC_isposinf_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9074793Z   test_consistency_SparseBSC_isposinf_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9075018Z   test_consistency_SparseBSC_log1p_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9075256Z   test_consistency_SparseBSC_log1p_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9075578Z   test_consistency_SparseBSC_log1p_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9075809Z   test_consistency_SparseBSC_log1p_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9076040Z   test_consistency_SparseBSC_log1p_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9076283Z   test_consistency_SparseBSC_log1p_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9076519Z   test_consistency_SparseBSC_log1p_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9076755Z   test_consistency_SparseBSC_log1p_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9076993Z   test_consistency_SparseBSC_log1p_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9077207Z   test_consistency_SparseBSC_log1p_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9077560Z   test_consistency_SparseBSC_masked_amax_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9077904Z   test_consistency_SparseBSC_masked_amax_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9078301Z   test_consistency_SparseBSC_masked_amax_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9078655Z   test_consistency_SparseBSC_masked_amax_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9079000Z   test_consistency_SparseBSC_masked_amax_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9079340Z   test_consistency_SparseBSC_masked_amax_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9079680Z   test_consistency_SparseBSC_masked_amax_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.005s)
2022-11-23T03:14:21.9080030Z   test_consistency_SparseBSC_masked_amax_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9080362Z   test_consistency_SparseBSC_masked_amax_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9080702Z   test_consistency_SparseBSC_masked_amin_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9081048Z   test_consistency_SparseBSC_masked_amin_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9081373Z   test_consistency_SparseBSC_masked_amin_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9081714Z   test_consistency_SparseBSC_masked_amin_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9082051Z   test_consistency_SparseBSC_masked_amin_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9082390Z   test_consistency_SparseBSC_masked_amin_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9082727Z   test_consistency_SparseBSC_masked_amin_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9083140Z   test_consistency_SparseBSC_masked_amin_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9083472Z   test_consistency_SparseBSC_masked_amin_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.005s)
2022-11-23T03:14:21.9083815Z   test_consistency_SparseBSC_masked_mean_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9084147Z   test_consistency_SparseBSC_masked_mean_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9084499Z   test_consistency_SparseBSC_masked_mean_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9084894Z   test_consistency_SparseBSC_masked_mean_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9085279Z   test_consistency_SparseBSC_masked_mean_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9085624Z   test_consistency_SparseBSC_masked_mean_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9085943Z   test_consistency_SparseBSC_masked_mean_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9086283Z   test_consistency_SparseBSC_masked_mean_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9086620Z   test_consistency_SparseBSC_masked_mean_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9086959Z   test_consistency_SparseBSC_masked_mean_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9087292Z   test_consistency_SparseBSC_masked_mean_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9087622Z   test_consistency_SparseBSC_masked_mean_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.005s)
2022-11-23T03:14:21.9087972Z   test_consistency_SparseBSC_masked_prod_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9088314Z   test_consistency_SparseBSC_masked_prod_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9088663Z   test_consistency_SparseBSC_masked_prod_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9089009Z   test_consistency_SparseBSC_masked_prod_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9089352Z   test_consistency_SparseBSC_masked_prod_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9089695Z   test_consistency_SparseBSC_masked_prod_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9090107Z   test_consistency_SparseBSC_masked_prod_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9090429Z   test_consistency_SparseBSC_masked_prod_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9090765Z   test_consistency_SparseBSC_masked_prod_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9091112Z   test_consistency_SparseBSC_masked_prod_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9091449Z   test_consistency_SparseBSC_masked_prod_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9091786Z   test_consistency_SparseBSC_masked_prod_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.005s)
2022-11-23T03:14:21.9092173Z   test_consistency_SparseBSC_masked_sum_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9092514Z   test_consistency_SparseBSC_masked_sum_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9092854Z   test_consistency_SparseBSC_masked_sum_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9093193Z   test_consistency_SparseBSC_masked_sum_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9093532Z   test_consistency_SparseBSC_masked_sum_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9093866Z   test_consistency_SparseBSC_masked_sum_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9094204Z   test_consistency_SparseBSC_masked_sum_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9094533Z   test_consistency_SparseBSC_masked_sum_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9094849Z   test_consistency_SparseBSC_masked_sum_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9095180Z   test_consistency_SparseBSC_masked_sum_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9095520Z   test_consistency_SparseBSC_masked_sum_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9095857Z   test_consistency_SparseBSC_masked_sum_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.005s)
2022-11-23T03:14:21.9096443Z   test_consistency_SparseBSC_neg_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9096706Z   test_consistency_SparseBSC_neg_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9096945Z   test_consistency_SparseBSC_neg_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9097216Z   test_consistency_SparseBSC_neg_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9097556Z   test_consistency_SparseBSC_neg_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9097794Z   test_consistency_SparseBSC_neg_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9098016Z   test_consistency_SparseBSC_neg_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9098246Z   test_consistency_SparseBSC_neg_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9098479Z   test_consistency_SparseBSC_neg_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9098710Z   test_consistency_SparseBSC_neg_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9098940Z   test_consistency_SparseBSC_neg_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9099168Z   test_consistency_SparseBSC_neg_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9099436Z   test_consistency_SparseBSC_nn_functional_relu_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9099695Z   test_consistency_SparseBSC_nn_functional_relu_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9100078Z   test_consistency_SparseBSC_nn_functional_relu_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9100393Z   test_consistency_SparseBSC_nn_functional_relu_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9100646Z   test_consistency_SparseBSC_nn_functional_relu_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9100902Z   test_consistency_SparseBSC_nn_functional_relu_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9101153Z   test_consistency_SparseBSC_nn_functional_relu_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9101411Z   test_consistency_SparseBSC_nn_functional_relu_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9101663Z   test_consistency_SparseBSC_nn_functional_relu_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9101915Z   test_consistency_SparseBSC_positive_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9102170Z   test_consistency_SparseBSC_positive_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9102420Z   test_consistency_SparseBSC_positive_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9102655Z   test_consistency_SparseBSC_positive_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9102903Z   test_consistency_SparseBSC_positive_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9103145Z   test_consistency_SparseBSC_positive_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9103451Z   test_consistency_SparseBSC_positive_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9103692Z   test_consistency_SparseBSC_positive_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9103934Z   test_consistency_SparseBSC_positive_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9104173Z   test_consistency_SparseBSC_positive_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9104411Z   test_consistency_SparseBSC_positive_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9104650Z   test_consistency_SparseBSC_positive_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9104876Z   test_consistency_SparseBSC_rad2deg_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9105120Z   test_consistency_SparseBSC_rad2deg_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9105442Z   test_consistency_SparseBSC_rad2deg_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9105676Z   test_consistency_SparseBSC_rad2deg_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9105910Z   test_consistency_SparseBSC_rad2deg_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9106154Z   test_consistency_SparseBSC_rad2deg_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9106391Z   test_consistency_SparseBSC_rad2deg_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9106622Z   test_consistency_SparseBSC_rad2deg_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9106865Z   test_consistency_SparseBSC_rad2deg_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9107080Z   test_consistency_SparseBSC_rad2deg_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9107420Z   test_consistency_SparseBSC_randn_like_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9107817Z   test_consistency_SparseBSC_randn_like_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9108164Z   test_consistency_SparseBSC_randn_like_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9108505Z   test_consistency_SparseBSC_randn_like_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9108844Z   test_consistency_SparseBSC_randn_like_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9109181Z   test_consistency_SparseBSC_randn_like_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9109528Z   test_consistency_SparseBSC_randn_like_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_bsc layout (0.005s)
2022-11-23T03:14:21.9109777Z   test_consistency_SparseBSC_round_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9110018Z   test_consistency_SparseBSC_round_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9110250Z   test_consistency_SparseBSC_round_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9110472Z   test_consistency_SparseBSC_round_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9110714Z   test_consistency_SparseBSC_round_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9110950Z   test_consistency_SparseBSC_round_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9111186Z   test_consistency_SparseBSC_round_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9111430Z   test_consistency_SparseBSC_round_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9111663Z   test_consistency_SparseBSC_round_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9111902Z   test_consistency_SparseBSC_sgn_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9112138Z   test_consistency_SparseBSC_sgn_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9112367Z   test_consistency_SparseBSC_sgn_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9112678Z   test_consistency_SparseBSC_sgn_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9112916Z   test_consistency_SparseBSC_sgn_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9113151Z   test_consistency_SparseBSC_sgn_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9113391Z   test_consistency_SparseBSC_sgn_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9113628Z   test_consistency_SparseBSC_sgn_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9113865Z   test_consistency_SparseBSC_sgn_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9114100Z   test_consistency_SparseBSC_sgn_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9114335Z   test_consistency_SparseBSC_sgn_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9114550Z   test_consistency_SparseBSC_sgn_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9114790Z   test_consistency_SparseBSC_sgn_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9115033Z   test_consistency_SparseBSC_sign_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9115337Z   test_consistency_SparseBSC_sign_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9115589Z   test_consistency_SparseBSC_sign_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9115879Z   test_consistency_SparseBSC_sign_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9116112Z   test_consistency_SparseBSC_sign_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9116346Z   test_consistency_SparseBSC_sign_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9116583Z   test_consistency_SparseBSC_sign_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9116806Z   test_consistency_SparseBSC_sign_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9117041Z   test_consistency_SparseBSC_sign_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9117279Z   test_consistency_SparseBSC_sign_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9117531Z   test_consistency_SparseBSC_signbit_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9117773Z   test_consistency_SparseBSC_signbit_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9118014Z   test_consistency_SparseBSC_signbit_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9118252Z   test_consistency_SparseBSC_signbit_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9118484Z   test_consistency_SparseBSC_signbit_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9118730Z   test_consistency_SparseBSC_signbit_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9118953Z   test_consistency_SparseBSC_signbit_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9119196Z   test_consistency_SparseBSC_signbit_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9119439Z   test_consistency_SparseBSC_signbit_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9119674Z   test_consistency_SparseBSC_signbit_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9119906Z   test_consistency_SparseBSC_sin_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9120137Z   test_consistency_SparseBSC_sin_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9120384Z   test_consistency_SparseBSC_sin_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9120699Z   test_consistency_SparseBSC_sin_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9120914Z   test_consistency_SparseBSC_sin_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9121152Z   test_consistency_SparseBSC_sin_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9121390Z   test_consistency_SparseBSC_sin_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9121626Z   test_consistency_SparseBSC_sin_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9121859Z   test_consistency_SparseBSC_sin_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9122090Z   test_consistency_SparseBSC_sin_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9122319Z   test_consistency_SparseBSC_sin_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9122561Z   test_consistency_SparseBSC_sin_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9122788Z   test_consistency_SparseBSC_sin_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9123095Z   test_consistency_SparseBSC_sinh_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9123331Z   test_consistency_SparseBSC_sinh_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9123573Z   test_consistency_SparseBSC_sinh_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9123819Z   test_consistency_SparseBSC_sinh_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9124058Z   test_consistency_SparseBSC_sinh_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9124297Z   test_consistency_SparseBSC_sinh_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9124536Z   test_consistency_SparseBSC_sinh_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9124769Z   test_consistency_SparseBSC_sinh_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9125008Z   test_consistency_SparseBSC_sinh_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9125222Z   test_consistency_SparseBSC_sinh_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9125460Z   test_consistency_SparseBSC_sinh_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9125696Z   test_consistency_SparseBSC_sinh_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9125929Z   test_consistency_SparseBSC_sinh_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9126165Z   test_consistency_SparseBSC_sqrt_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9126404Z   test_consistency_SparseBSC_sqrt_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9126648Z   test_consistency_SparseBSC_sqrt_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9126894Z   test_consistency_SparseBSC_sqrt_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9127133Z   test_consistency_SparseBSC_sqrt_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9127353Z   test_consistency_SparseBSC_sqrt_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9127584Z   test_consistency_SparseBSC_sqrt_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9127818Z   test_consistency_SparseBSC_sqrt_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9128048Z   test_consistency_SparseBSC_sqrt_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9128365Z   test_consistency_SparseBSC_sqrt_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9128598Z   test_consistency_SparseBSC_sqrt_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9128842Z   test_consistency_SparseBSC_sqrt_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9129074Z   test_consistency_SparseBSC_sqrt_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9129294Z   test_consistency_SparseBSC_tan_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9129533Z   test_consistency_SparseBSC_tan_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9129781Z   test_consistency_SparseBSC_tan_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9130023Z   test_consistency_SparseBSC_tan_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9130261Z   test_consistency_SparseBSC_tan_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9130500Z   test_consistency_SparseBSC_tan_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9130811Z   test_consistency_SparseBSC_tan_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9131055Z   test_consistency_SparseBSC_tan_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9131287Z   test_consistency_SparseBSC_tan_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9131502Z   test_consistency_SparseBSC_tan_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9131729Z   test_consistency_SparseBSC_tan_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9131956Z   test_consistency_SparseBSC_tan_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9132191Z   test_consistency_SparseBSC_tan_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9132433Z   test_consistency_SparseBSC_tanh_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9132667Z   test_consistency_SparseBSC_tanh_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9132916Z   test_consistency_SparseBSC_tanh_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9133159Z   test_consistency_SparseBSC_tanh_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9133407Z   test_consistency_SparseBSC_tanh_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9133624Z   test_consistency_SparseBSC_tanh_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9133858Z   test_consistency_SparseBSC_tanh_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9134093Z   test_consistency_SparseBSC_tanh_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9134328Z   test_consistency_SparseBSC_tanh_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9134561Z   test_consistency_SparseBSC_tanh_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9134799Z   test_consistency_SparseBSC_tanh_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9135027Z   test_consistency_SparseBSC_tanh_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9135265Z   test_consistency_SparseBSC_tanh_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9135610Z   test_consistency_SparseBSC_to_sparse_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9136366Z   test_consistency_SparseBSC_to_sparse_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9136724Z   test_consistency_SparseBSC_to_sparse_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9137068Z   test_consistency_SparseBSC_to_sparse_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9137418Z   test_consistency_SparseBSC_to_sparse_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9137738Z   test_consistency_SparseBSC_to_sparse_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.005s)
2022-11-23T03:14:21.9138070Z   test_consistency_SparseBSC_to_sparse_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9138403Z   test_consistency_SparseBSC_to_sparse_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9138867Z   test_consistency_SparseBSC_to_sparse_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9139209Z   test_consistency_SparseBSC_to_sparse_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9139537Z   test_consistency_SparseBSC_to_sparse_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9139863Z   test_consistency_SparseBSC_to_sparse_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.004s)
2022-11-23T03:14:21.9140117Z   test_consistency_SparseBSC_trunc_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9140339Z   test_consistency_SparseBSC_trunc_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9140582Z   test_consistency_SparseBSC_trunc_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9140818Z   test_consistency_SparseBSC_trunc_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9141049Z   test_consistency_SparseBSC_trunc_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9141281Z   test_consistency_SparseBSC_trunc_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9141514Z   test_consistency_SparseBSC_trunc_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9141747Z   test_consistency_SparseBSC_trunc_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9141982Z   test_consistency_SparseBSC_trunc_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9142279Z   test_consistency_SparseBSR_abs_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9142497Z   test_consistency_SparseBSR_abs_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9142741Z   test_consistency_SparseBSR_abs_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9142980Z   test_consistency_SparseBSR_abs_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9143216Z   test_consistency_SparseBSR_abs_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9143452Z   test_consistency_SparseBSR_abs_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9143685Z   test_consistency_SparseBSR_abs_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9144017Z   test_consistency_SparseBSR_abs_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9144248Z   test_consistency_SparseBSR_abs_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9144465Z   test_consistency_SparseBSR_abs_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9144702Z   test_consistency_SparseBSR_abs_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9144936Z   test_consistency_SparseBSR_abs_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9145165Z   test_consistency_SparseBSR_abs_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9145402Z   test_consistency_SparseBSR_angle_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9145649Z   test_consistency_SparseBSR_angle_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9145897Z   test_consistency_SparseBSR_angle_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9146136Z   test_consistency_SparseBSR_angle_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9146434Z   test_consistency_SparseBSR_angle_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9146664Z   test_consistency_SparseBSR_angle_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9146902Z   test_consistency_SparseBSR_angle_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9147138Z   test_consistency_SparseBSR_angle_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9147371Z   test_consistency_SparseBSR_angle_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9147606Z   test_consistency_SparseBSR_angle_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9147851Z   test_consistency_SparseBSR_angle_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9148096Z   test_consistency_SparseBSR_asin_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9148329Z   test_consistency_SparseBSR_asin_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9148569Z   test_consistency_SparseBSR_asin_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9148794Z   test_consistency_SparseBSR_asin_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9149037Z   test_consistency_SparseBSR_asin_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9149275Z   test_consistency_SparseBSR_asin_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9149507Z   test_consistency_SparseBSR_asin_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9149742Z   test_consistency_SparseBSR_asin_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9149976Z   test_consistency_SparseBSR_asin_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9150211Z   test_consistency_SparseBSR_asin_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9150444Z   test_consistency_SparseBSR_asin_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9150677Z   test_consistency_SparseBSR_asin_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9150895Z   test_consistency_SparseBSR_asin_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9151139Z   test_consistency_SparseBSR_asinh_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9151372Z   test_consistency_SparseBSR_asinh_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9151681Z   test_consistency_SparseBSR_asinh_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9151931Z   test_consistency_SparseBSR_asinh_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9152171Z   test_consistency_SparseBSR_asinh_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9152412Z   test_consistency_SparseBSR_asinh_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9152653Z   test_consistency_SparseBSR_asinh_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9152887Z   test_consistency_SparseBSR_asinh_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9153102Z   test_consistency_SparseBSR_asinh_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9153336Z   test_consistency_SparseBSR_asinh_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9153577Z   test_consistency_SparseBSR_asinh_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9153813Z   test_consistency_SparseBSR_asinh_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9154094Z   test_consistency_SparseBSR_asinh_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9154340Z   test_consistency_SparseBSR_atan_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9154576Z   test_consistency_SparseBSR_atan_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9154820Z   test_consistency_SparseBSR_atan_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9155046Z   test_consistency_SparseBSR_atan_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9155284Z   test_consistency_SparseBSR_atan_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9155532Z   test_consistency_SparseBSR_atan_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9155765Z   test_consistency_SparseBSR_atan_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9155998Z   test_consistency_SparseBSR_atan_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9156233Z   test_consistency_SparseBSR_atan_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9156467Z   test_consistency_SparseBSR_atan_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9156698Z   test_consistency_SparseBSR_atan_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9156933Z   test_consistency_SparseBSR_atan_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9157143Z   test_consistency_SparseBSR_atan_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9157395Z   test_consistency_SparseBSR_atanh_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9157629Z   test_consistency_SparseBSR_atanh_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9157880Z   test_consistency_SparseBSR_atanh_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9158123Z   test_consistency_SparseBSR_atanh_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9158372Z   test_consistency_SparseBSR_atanh_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9158616Z   test_consistency_SparseBSR_atanh_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9158856Z   test_consistency_SparseBSR_atanh_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9159088Z   test_consistency_SparseBSR_atanh_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9159382Z   test_consistency_SparseBSR_atanh_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9159618Z   test_consistency_SparseBSR_atanh_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9159854Z   test_consistency_SparseBSR_atanh_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9160089Z   test_consistency_SparseBSR_atanh_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9160319Z   test_consistency_SparseBSR_atanh_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9160560Z   test_consistency_SparseBSR_ceil_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9160798Z   test_consistency_SparseBSR_ceil_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9161038Z   test_consistency_SparseBSR_ceil_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9161273Z   test_consistency_SparseBSR_ceil_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9161492Z   test_consistency_SparseBSR_ceil_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9161780Z   test_consistency_SparseBSR_ceil_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9162021Z   test_consistency_SparseBSR_ceil_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9162252Z   test_consistency_SparseBSR_ceil_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9162542Z   test_consistency_SparseBSR_ceil_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9162797Z   test_consistency_SparseBSR_conj_physical_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9163049Z   test_consistency_SparseBSR_conj_physical_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9163315Z   test_consistency_SparseBSR_conj_physical_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9163569Z   test_consistency_SparseBSR_conj_physical_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9163812Z   test_consistency_SparseBSR_conj_physical_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9164065Z   test_consistency_SparseBSR_conj_physical_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9164317Z   test_consistency_SparseBSR_conj_physical_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9164560Z   test_consistency_SparseBSR_conj_physical_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9164808Z   test_consistency_SparseBSR_conj_physical_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9165061Z   test_consistency_SparseBSR_conj_physical_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9165307Z   test_consistency_SparseBSR_conj_physical_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9165559Z   test_consistency_SparseBSR_conj_physical_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9165802Z   test_consistency_SparseBSR_conj_physical_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9166032Z   test_consistency_SparseBSR_deg2rad_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9166273Z   test_consistency_SparseBSR_deg2rad_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9166515Z   test_consistency_SparseBSR_deg2rad_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9166752Z   test_consistency_SparseBSR_deg2rad_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9167055Z   test_consistency_SparseBSR_deg2rad_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9167299Z   test_consistency_SparseBSR_deg2rad_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9167532Z   test_consistency_SparseBSR_deg2rad_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9167761Z   test_consistency_SparseBSR_deg2rad_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9167996Z   test_consistency_SparseBSR_deg2rad_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9168215Z   test_consistency_SparseBSR_deg2rad_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9168463Z   test_consistency_SparseBSR_erf_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9168694Z   test_consistency_SparseBSR_erf_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9168941Z   test_consistency_SparseBSR_erf_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9169175Z   test_consistency_SparseBSR_erf_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9169489Z   test_consistency_SparseBSR_erf_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9169742Z   test_consistency_SparseBSR_erf_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9169981Z   test_consistency_SparseBSR_erf_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9170196Z   test_consistency_SparseBSR_erf_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9170424Z   test_consistency_SparseBSR_erf_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9170656Z   test_consistency_SparseBSR_erf_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9170898Z   test_consistency_SparseBSR_erfinv_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9171140Z   test_consistency_SparseBSR_erfinv_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9171382Z   test_consistency_SparseBSR_erfinv_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9171611Z   test_consistency_SparseBSR_erfinv_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9171847Z   test_consistency_SparseBSR_erfinv_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9172087Z   test_consistency_SparseBSR_erfinv_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9172303Z   test_consistency_SparseBSR_erfinv_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9172536Z   test_consistency_SparseBSR_erfinv_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9172774Z   test_consistency_SparseBSR_erfinv_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9173016Z   test_consistency_SparseBSR_expm1_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9173256Z   test_consistency_SparseBSR_expm1_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9173497Z   test_consistency_SparseBSR_expm1_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9173729Z   test_consistency_SparseBSR_expm1_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9173957Z   test_consistency_SparseBSR_expm1_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9174192Z   test_consistency_SparseBSR_expm1_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9174407Z   test_consistency_SparseBSR_expm1_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9174714Z   test_consistency_SparseBSR_expm1_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9174954Z   test_consistency_SparseBSR_expm1_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9175191Z   test_consistency_SparseBSR_expm1_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9175434Z   test_consistency_SparseBSR_floor_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9175675Z   test_consistency_SparseBSR_floor_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9175908Z   test_consistency_SparseBSR_floor_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9176415Z   test_consistency_SparseBSR_floor_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9176641Z   test_consistency_SparseBSR_floor_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9176876Z   test_consistency_SparseBSR_floor_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9177089Z   test_consistency_SparseBSR_floor_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9177451Z   test_consistency_SparseBSR_floor_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9177678Z   test_consistency_SparseBSR_floor_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9177921Z   test_consistency_SparseBSR_frac_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9178159Z   test_consistency_SparseBSR_frac_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9178399Z   test_consistency_SparseBSR_frac_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9178627Z   test_consistency_SparseBSR_frac_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9178853Z   test_consistency_SparseBSR_isinf_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9179171Z   test_consistency_SparseBSR_isinf_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9179418Z   test_consistency_SparseBSR_isinf_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9179661Z   test_consistency_SparseBSR_isinf_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9179894Z   test_consistency_SparseBSR_isinf_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9180130Z   test_consistency_SparseBSR_isinf_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9180360Z   test_consistency_SparseBSR_isinf_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9180585Z   test_consistency_SparseBSR_isinf_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9180825Z   test_consistency_SparseBSR_isinf_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9181041Z   test_consistency_SparseBSR_isinf_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9181280Z   test_consistency_SparseBSR_isinf_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9181515Z   test_consistency_SparseBSR_isinf_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9181747Z   test_consistency_SparseBSR_isinf_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9181990Z   test_consistency_SparseBSR_isnan_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9182222Z   test_consistency_SparseBSR_isnan_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9182470Z   test_consistency_SparseBSR_isnan_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9182819Z   test_consistency_SparseBSR_isnan_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9183059Z   test_consistency_SparseBSR_isnan_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9183281Z   test_consistency_SparseBSR_isnan_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9183509Z   test_consistency_SparseBSR_isnan_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9183742Z   test_consistency_SparseBSR_isnan_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9183972Z   test_consistency_SparseBSR_isnan_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9184204Z   test_consistency_SparseBSR_isnan_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9184436Z   test_consistency_SparseBSR_isnan_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9184676Z   test_consistency_SparseBSR_isnan_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9184929Z   test_consistency_SparseBSR_isneginf_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9185224Z   test_consistency_SparseBSR_isneginf_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9185459Z   test_consistency_SparseBSR_isneginf_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9185697Z   test_consistency_SparseBSR_isneginf_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9185941Z   test_consistency_SparseBSR_isneginf_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9186186Z   test_consistency_SparseBSR_isneginf_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9186429Z   test_consistency_SparseBSR_isneginf_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9186668Z   test_consistency_SparseBSR_isneginf_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9186913Z   test_consistency_SparseBSR_isneginf_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9187160Z   test_consistency_SparseBSR_isneginf_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9187414Z   test_consistency_SparseBSR_isposinf_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9187638Z   test_consistency_SparseBSR_isposinf_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9187889Z   test_consistency_SparseBSR_isposinf_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9188130Z   test_consistency_SparseBSR_isposinf_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9188383Z   test_consistency_SparseBSR_isposinf_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9188627Z   test_consistency_SparseBSR_isposinf_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9188864Z   test_consistency_SparseBSR_isposinf_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9189104Z   test_consistency_SparseBSR_isposinf_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9189346Z   test_consistency_SparseBSR_isposinf_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9189594Z   test_consistency_SparseBSR_isposinf_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9189813Z   test_consistency_SparseBSR_log1p_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9190049Z   test_consistency_SparseBSR_log1p_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9190365Z   test_consistency_SparseBSR_log1p_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9190602Z   test_consistency_SparseBSR_log1p_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9190841Z   test_consistency_SparseBSR_log1p_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9191078Z   test_consistency_SparseBSR_log1p_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9191312Z   test_consistency_SparseBSR_log1p_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9191547Z   test_consistency_SparseBSR_log1p_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9191765Z   test_consistency_SparseBSR_log1p_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9191998Z   test_consistency_SparseBSR_log1p_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9192352Z   test_consistency_SparseBSR_masked_amax_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9192697Z   test_consistency_SparseBSR_masked_amax_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9193110Z   test_consistency_SparseBSR_masked_amax_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9193459Z   test_consistency_SparseBSR_masked_amax_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9193795Z   test_consistency_SparseBSR_masked_amax_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9194131Z   test_consistency_SparseBSR_masked_amax_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9194469Z   test_consistency_SparseBSR_masked_amax_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.005s)
2022-11-23T03:14:21.9194809Z   test_consistency_SparseBSR_masked_amax_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9195146Z   test_consistency_SparseBSR_masked_amax_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9195486Z   test_consistency_SparseBSR_masked_amin_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9195807Z   test_consistency_SparseBSR_masked_amin_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9196155Z   test_consistency_SparseBSR_masked_amin_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9196495Z   test_consistency_SparseBSR_masked_amin_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9196825Z   test_consistency_SparseBSR_masked_amin_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9197158Z   test_consistency_SparseBSR_masked_amin_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9197487Z   test_consistency_SparseBSR_masked_amin_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9197910Z   test_consistency_SparseBSR_masked_amin_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9198240Z   test_consistency_SparseBSR_masked_amin_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.005s)
2022-11-23T03:14:21.9198585Z   test_consistency_SparseBSR_masked_mean_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9198916Z   test_consistency_SparseBSR_masked_mean_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9199263Z   test_consistency_SparseBSR_masked_mean_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9199616Z   test_consistency_SparseBSR_masked_mean_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9200006Z   test_consistency_SparseBSR_masked_mean_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9200339Z   test_consistency_SparseBSR_masked_mean_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9200678Z   test_consistency_SparseBSR_masked_mean_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9201012Z   test_consistency_SparseBSR_masked_mean_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9201351Z   test_consistency_SparseBSR_masked_mean_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9201690Z   test_consistency_SparseBSR_masked_mean_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9202020Z   test_consistency_SparseBSR_masked_mean_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9202349Z   test_consistency_SparseBSR_masked_mean_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.005s)
2022-11-23T03:14:21.9202704Z   test_consistency_SparseBSR_masked_prod_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9203045Z   test_consistency_SparseBSR_masked_prod_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9203392Z   test_consistency_SparseBSR_masked_prod_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9203740Z   test_consistency_SparseBSR_masked_prod_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9204081Z   test_consistency_SparseBSR_masked_prod_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9204433Z   test_consistency_SparseBSR_masked_prod_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9204833Z   test_consistency_SparseBSR_masked_prod_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9205174Z   test_consistency_SparseBSR_masked_prod_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9205509Z   test_consistency_SparseBSR_masked_prod_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9205840Z   test_consistency_SparseBSR_masked_prod_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9206176Z   test_consistency_SparseBSR_masked_prod_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9206513Z   test_consistency_SparseBSR_masked_prod_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.005s)
2022-11-23T03:14:21.9206916Z   test_consistency_SparseBSR_masked_sum_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9207260Z   test_consistency_SparseBSR_masked_sum_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9207600Z   test_consistency_SparseBSR_masked_sum_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9207939Z   test_consistency_SparseBSR_masked_sum_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9208278Z   test_consistency_SparseBSR_masked_sum_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9208617Z   test_consistency_SparseBSR_masked_sum_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9208957Z   test_consistency_SparseBSR_masked_sum_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9209277Z   test_consistency_SparseBSR_masked_sum_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9209607Z   test_consistency_SparseBSR_masked_sum_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9209945Z   test_consistency_SparseBSR_masked_sum_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9210282Z   test_consistency_SparseBSR_masked_sum_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9210627Z   test_consistency_SparseBSR_masked_sum_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.005s)
2022-11-23T03:14:21.9210874Z   test_consistency_SparseBSR_neg_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9211121Z   test_consistency_SparseBSR_neg_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9211363Z   test_consistency_SparseBSR_neg_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9211605Z   test_consistency_SparseBSR_neg_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9211926Z   test_consistency_SparseBSR_neg_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9212149Z   test_consistency_SparseBSR_neg_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9212394Z   test_consistency_SparseBSR_neg_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9212636Z   test_consistency_SparseBSR_neg_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9212877Z   test_consistency_SparseBSR_neg_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9213109Z   test_consistency_SparseBSR_neg_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9213342Z   test_consistency_SparseBSR_neg_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9213582Z   test_consistency_SparseBSR_neg_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9213850Z   test_consistency_SparseBSR_nn_functional_relu_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9214113Z   test_consistency_SparseBSR_nn_functional_relu_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9214418Z   test_consistency_SparseBSR_nn_functional_relu_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9214691Z   test_consistency_SparseBSR_nn_functional_relu_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9214947Z   test_consistency_SparseBSR_nn_functional_relu_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9215202Z   test_consistency_SparseBSR_nn_functional_relu_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9215452Z   test_consistency_SparseBSR_nn_functional_relu_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9215713Z   test_consistency_SparseBSR_nn_functional_relu_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9216043Z   test_consistency_SparseBSR_nn_functional_relu_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9216328Z   test_consistency_SparseBSR_positive_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9217170Z   test_consistency_SparseBSR_positive_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9217413Z   test_consistency_SparseBSR_positive_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9217669Z   test_consistency_SparseBSR_positive_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9217918Z   test_consistency_SparseBSR_positive_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9218158Z   test_consistency_SparseBSR_positive_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9218420Z   test_consistency_SparseBSR_positive_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9218661Z   test_consistency_SparseBSR_positive_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9218900Z   test_consistency_SparseBSR_positive_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9219131Z   test_consistency_SparseBSR_positive_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9219371Z   test_consistency_SparseBSR_positive_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9219594Z   test_consistency_SparseBSR_positive_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9219839Z   test_consistency_SparseBSR_rad2deg_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9220078Z   test_consistency_SparseBSR_rad2deg_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9220465Z   test_consistency_SparseBSR_rad2deg_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9220707Z   test_consistency_SparseBSR_rad2deg_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9220940Z   test_consistency_SparseBSR_rad2deg_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9221175Z   test_consistency_SparseBSR_rad2deg_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9221404Z   test_consistency_SparseBSR_rad2deg_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9221631Z   test_consistency_SparseBSR_rad2deg_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9221852Z   test_consistency_SparseBSR_rad2deg_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9222096Z   test_consistency_SparseBSR_rad2deg_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9222433Z   test_consistency_SparseBSR_randn_like_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9222875Z   test_consistency_SparseBSR_randn_like_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9223231Z   test_consistency_SparseBSR_randn_like_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9223574Z   test_consistency_SparseBSR_randn_like_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9223909Z   test_consistency_SparseBSR_randn_like_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9224246Z   test_consistency_SparseBSR_randn_like_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9224582Z   test_consistency_SparseBSR_randn_like_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_bsr layout (0.005s)
2022-11-23T03:14:21.9224829Z   test_consistency_SparseBSR_round_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9225071Z   test_consistency_SparseBSR_round_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9225295Z   test_consistency_SparseBSR_round_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9225531Z   test_consistency_SparseBSR_round_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9225774Z   test_consistency_SparseBSR_round_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9226008Z   test_consistency_SparseBSR_round_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9226239Z   test_consistency_SparseBSR_round_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9226475Z   test_consistency_SparseBSR_round_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9226711Z   test_consistency_SparseBSR_round_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9226958Z   test_consistency_SparseBSR_sgn_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9227196Z   test_consistency_SparseBSR_sgn_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9227420Z   test_consistency_SparseBSR_sgn_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9227732Z   test_consistency_SparseBSR_sgn_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9227965Z   test_consistency_SparseBSR_sgn_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9228207Z   test_consistency_SparseBSR_sgn_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9228446Z   test_consistency_SparseBSR_sgn_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9228683Z   test_consistency_SparseBSR_sgn_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9228915Z   test_consistency_SparseBSR_sgn_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9229152Z   test_consistency_SparseBSR_sgn_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9229367Z   test_consistency_SparseBSR_sgn_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9229605Z   test_consistency_SparseBSR_sgn_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9229839Z   test_consistency_SparseBSR_sgn_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9230078Z   test_consistency_SparseBSR_sign_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9230369Z   test_consistency_SparseBSR_sign_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9230614Z   test_consistency_SparseBSR_sign_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9230847Z   test_consistency_SparseBSR_sign_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9231074Z   test_consistency_SparseBSR_sign_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9231310Z   test_consistency_SparseBSR_sign_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9231525Z   test_consistency_SparseBSR_sign_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9231767Z   test_consistency_SparseBSR_sign_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9232005Z   test_consistency_SparseBSR_sign_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9232238Z   test_consistency_SparseBSR_sign_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9232481Z   test_consistency_SparseBSR_signbit_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9232719Z   test_consistency_SparseBSR_signbit_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9232962Z   test_consistency_SparseBSR_signbit_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9233197Z   test_consistency_SparseBSR_signbit_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9233431Z   test_consistency_SparseBSR_signbit_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9233658Z   test_consistency_SparseBSR_signbit_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9233889Z   test_consistency_SparseBSR_signbit_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9234120Z   test_consistency_SparseBSR_signbit_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9234361Z   test_consistency_SparseBSR_signbit_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9234590Z   test_consistency_SparseBSR_signbit_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9234868Z   test_consistency_SparseBSR_sin_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9235103Z   test_consistency_SparseBSR_sin_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9235346Z   test_consistency_SparseBSR_sin_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9235656Z   test_consistency_SparseBSR_sin_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9235868Z   test_consistency_SparseBSR_sin_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9236110Z   test_consistency_SparseBSR_sin_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9236352Z   test_consistency_SparseBSR_sin_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9236591Z   test_consistency_SparseBSR_sin_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9236823Z   test_consistency_SparseBSR_sin_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9237056Z   test_consistency_SparseBSR_sin_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9237288Z   test_consistency_SparseBSR_sin_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9237525Z   test_consistency_SparseBSR_sin_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9237758Z   test_consistency_SparseBSR_sin_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9238033Z   test_consistency_SparseBSR_sinh_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9238274Z   test_consistency_SparseBSR_sinh_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9238519Z   test_consistency_SparseBSR_sinh_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9238763Z   test_consistency_SparseBSR_sinh_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9239000Z   test_consistency_SparseBSR_sinh_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9239239Z   test_consistency_SparseBSR_sinh_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9239484Z   test_consistency_SparseBSR_sinh_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9239723Z   test_consistency_SparseBSR_sinh_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9239940Z   test_consistency_SparseBSR_sinh_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9240176Z   test_consistency_SparseBSR_sinh_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9240410Z   test_consistency_SparseBSR_sinh_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9240644Z   test_consistency_SparseBSR_sinh_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9240877Z   test_consistency_SparseBSR_sinh_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9241118Z   test_consistency_SparseBSR_sqrt_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9241355Z   test_consistency_SparseBSR_sqrt_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9241596Z   test_consistency_SparseBSR_sqrt_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9241838Z   test_consistency_SparseBSR_sqrt_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9242063Z   test_consistency_SparseBSR_sqrt_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9242299Z   test_consistency_SparseBSR_sqrt_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9242529Z   test_consistency_SparseBSR_sqrt_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9242755Z   test_consistency_SparseBSR_sqrt_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9242986Z   test_consistency_SparseBSR_sqrt_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9243283Z   test_consistency_SparseBSR_sqrt_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9243521Z   test_consistency_SparseBSR_sqrt_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9243754Z   test_consistency_SparseBSR_sqrt_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9243988Z   test_consistency_SparseBSR_sqrt_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9244208Z   test_consistency_SparseBSR_tan_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9244443Z   test_consistency_SparseBSR_tan_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9244688Z   test_consistency_SparseBSR_tan_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9244927Z   test_consistency_SparseBSR_tan_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9245162Z   test_consistency_SparseBSR_tan_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9245398Z   test_consistency_SparseBSR_tan_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9245678Z   test_consistency_SparseBSR_tan_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9245918Z   test_consistency_SparseBSR_tan_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9246147Z   test_consistency_SparseBSR_tan_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9246361Z   test_consistency_SparseBSR_tan_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9246594Z   test_consistency_SparseBSR_tan_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9246822Z   test_consistency_SparseBSR_tan_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9247056Z   test_consistency_SparseBSR_tan_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9247298Z   test_consistency_SparseBSR_tanh_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9247526Z   test_consistency_SparseBSR_tanh_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9247771Z   test_consistency_SparseBSR_tanh_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9248016Z   test_consistency_SparseBSR_tanh_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9248234Z   test_consistency_SparseBSR_tanh_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9248475Z   test_consistency_SparseBSR_tanh_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9248709Z   test_consistency_SparseBSR_tanh_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9248944Z   test_consistency_SparseBSR_tanh_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9249178Z   test_consistency_SparseBSR_tanh_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9249412Z   test_consistency_SparseBSR_tanh_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9249647Z   test_consistency_SparseBSR_tanh_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9249875Z   test_consistency_SparseBSR_tanh_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9250106Z   test_consistency_SparseBSR_tanh_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9250427Z   test_consistency_SparseBSR_to_sparse_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9250841Z   test_consistency_SparseBSR_to_sparse_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9251179Z   test_consistency_SparseBSR_to_sparse_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9251526Z   test_consistency_SparseBSR_to_sparse_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9251864Z   test_consistency_SparseBSR_to_sparse_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9252195Z   test_consistency_SparseBSR_to_sparse_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.005s)
2022-11-23T03:14:21.9252520Z   test_consistency_SparseBSR_to_sparse_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9252861Z   test_consistency_SparseBSR_to_sparse_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9253315Z   test_consistency_SparseBSR_to_sparse_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9253647Z   test_consistency_SparseBSR_to_sparse_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9253979Z   test_consistency_SparseBSR_to_sparse_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9254305Z   test_consistency_SparseBSR_to_sparse_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.004s)
2022-11-23T03:14:21.9254536Z   test_consistency_SparseBSR_trunc_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9254776Z   test_consistency_SparseBSR_trunc_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9255012Z   test_consistency_SparseBSR_trunc_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9255242Z   test_consistency_SparseBSR_trunc_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9255476Z   test_consistency_SparseBSR_trunc_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9255708Z   test_consistency_SparseBSR_trunc_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9255943Z   test_consistency_SparseBSR_trunc_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9256601Z   test_consistency_SparseBSR_trunc_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9256855Z   test_consistency_SparseBSR_trunc_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9257076Z   test_consistency_SparseCSC_abs_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9257322Z   test_consistency_SparseCSC_abs_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9257560Z   test_consistency_SparseCSC_abs_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9257854Z   test_consistency_SparseCSC_abs_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9258158Z   test_consistency_SparseCSC_abs_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9258391Z   test_consistency_SparseCSC_abs_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9258627Z   test_consistency_SparseCSC_abs_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9259012Z   test_consistency_SparseCSC_abs_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9259242Z   test_consistency_SparseCSC_abs_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9259461Z   test_consistency_SparseCSC_abs_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9259696Z   test_consistency_SparseCSC_abs_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9259926Z   test_consistency_SparseCSC_abs_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9260155Z   test_consistency_SparseCSC_abs_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9260391Z   test_consistency_SparseCSC_angle_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9260639Z   test_consistency_SparseCSC_angle_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9260891Z   test_consistency_SparseCSC_angle_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9261137Z   test_consistency_SparseCSC_angle_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9261446Z   test_consistency_SparseCSC_angle_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9261672Z   test_consistency_SparseCSC_angle_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9261905Z   test_consistency_SparseCSC_angle_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9262141Z   test_consistency_SparseCSC_angle_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9262373Z   test_consistency_SparseCSC_angle_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9262608Z   test_consistency_SparseCSC_angle_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9262844Z   test_consistency_SparseCSC_angle_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9263085Z   test_consistency_SparseCSC_asin_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9263326Z   test_consistency_SparseCSC_asin_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9263552Z   test_consistency_SparseCSC_asin_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9263796Z   test_consistency_SparseCSC_asin_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9264036Z   test_consistency_SparseCSC_asin_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9264272Z   test_consistency_SparseCSC_asin_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9264503Z   test_consistency_SparseCSC_asin_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9264745Z   test_consistency_SparseCSC_asin_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9264980Z   test_consistency_SparseCSC_asin_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9265218Z   test_consistency_SparseCSC_asin_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9265455Z   test_consistency_SparseCSC_asin_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9265672Z   test_consistency_SparseCSC_asin_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9265905Z   test_consistency_SparseCSC_asin_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9266153Z   test_consistency_SparseCSC_asinh_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9266389Z   test_consistency_SparseCSC_asinh_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9266712Z   test_consistency_SparseCSC_asinh_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9266958Z   test_consistency_SparseCSC_asinh_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9267206Z   test_consistency_SparseCSC_asinh_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9267446Z   test_consistency_SparseCSC_asinh_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9267681Z   test_consistency_SparseCSC_asinh_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9267889Z   test_consistency_SparseCSC_asinh_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9268126Z   test_consistency_SparseCSC_asinh_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9268368Z   test_consistency_SparseCSC_asinh_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9268611Z   test_consistency_SparseCSC_asinh_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9268843Z   test_consistency_SparseCSC_asinh_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9269151Z   test_consistency_SparseCSC_asinh_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9269402Z   test_consistency_SparseCSC_atan_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9269642Z   test_consistency_SparseCSC_atan_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9269885Z   test_consistency_SparseCSC_atan_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9270110Z   test_consistency_SparseCSC_atan_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9270345Z   test_consistency_SparseCSC_atan_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9270588Z   test_consistency_SparseCSC_atan_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9270827Z   test_consistency_SparseCSC_atan_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9271062Z   test_consistency_SparseCSC_atan_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9271302Z   test_consistency_SparseCSC_atan_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9271533Z   test_consistency_SparseCSC_atan_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9271764Z   test_consistency_SparseCSC_atan_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9271999Z   test_consistency_SparseCSC_atan_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9272214Z   test_consistency_SparseCSC_atan_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9272466Z   test_consistency_SparseCSC_atanh_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9272702Z   test_consistency_SparseCSC_atanh_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9272952Z   test_consistency_SparseCSC_atanh_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9273202Z   test_consistency_SparseCSC_atanh_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9273437Z   test_consistency_SparseCSC_atanh_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9273679Z   test_consistency_SparseCSC_atanh_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9273912Z   test_consistency_SparseCSC_atanh_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9274135Z   test_consistency_SparseCSC_atanh_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9274460Z   test_consistency_SparseCSC_atanh_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9274694Z   test_consistency_SparseCSC_atanh_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9274934Z   test_consistency_SparseCSC_atanh_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9275172Z   test_consistency_SparseCSC_atanh_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9275407Z   test_consistency_SparseCSC_atanh_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9275646Z   test_consistency_SparseCSC_ceil_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9275882Z   test_consistency_SparseCSC_ceil_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9276111Z   test_consistency_SparseCSC_ceil_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9276323Z   test_consistency_SparseCSC_ceil_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9276559Z   test_consistency_SparseCSC_ceil_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9276873Z   test_consistency_SparseCSC_ceil_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9277122Z   test_consistency_SparseCSC_ceil_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9277356Z   test_consistency_SparseCSC_ceil_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9277589Z   test_consistency_SparseCSC_ceil_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9277845Z   test_consistency_SparseCSC_conj_physical_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9278096Z   test_consistency_SparseCSC_conj_physical_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9278359Z   test_consistency_SparseCSC_conj_physical_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9278599Z   test_consistency_SparseCSC_conj_physical_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9278861Z   test_consistency_SparseCSC_conj_physical_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9279111Z   test_consistency_SparseCSC_conj_physical_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9279362Z   test_consistency_SparseCSC_conj_physical_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9279616Z   test_consistency_SparseCSC_conj_physical_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9279867Z   test_consistency_SparseCSC_conj_physical_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9280121Z   test_consistency_SparseCSC_conj_physical_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9280368Z   test_consistency_SparseCSC_conj_physical_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9280623Z   test_consistency_SparseCSC_conj_physical_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9280854Z   test_consistency_SparseCSC_conj_physical_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9281104Z   test_consistency_SparseCSC_deg2rad_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9281348Z   test_consistency_SparseCSC_deg2rad_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9281594Z   test_consistency_SparseCSC_deg2rad_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9281837Z   test_consistency_SparseCSC_deg2rad_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9282143Z   test_consistency_SparseCSC_deg2rad_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9282382Z   test_consistency_SparseCSC_deg2rad_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9282618Z   test_consistency_SparseCSC_deg2rad_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9312131Z   test_consistency_SparseCSC_deg2rad_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9312721Z   test_consistency_SparseCSC_deg2rad_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9312970Z   test_consistency_SparseCSC_deg2rad_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9313204Z   test_consistency_SparseCSC_erf_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9313452Z   test_consistency_SparseCSC_erf_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9313720Z   test_consistency_SparseCSC_erf_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9313963Z   test_consistency_SparseCSC_erf_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9314563Z   test_consistency_SparseCSC_erf_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9314821Z   test_consistency_SparseCSC_erf_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9315060Z   test_consistency_SparseCSC_erf_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9315275Z   test_consistency_SparseCSC_erf_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9315514Z   test_consistency_SparseCSC_erf_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9315743Z   test_consistency_SparseCSC_erf_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9316071Z   test_consistency_SparseCSC_erfinv_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9316320Z   test_consistency_SparseCSC_erfinv_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9316567Z   test_consistency_SparseCSC_erfinv_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9316822Z   test_consistency_SparseCSC_erfinv_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9317071Z   test_consistency_SparseCSC_erfinv_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.009s)
2022-11-23T03:14:21.9317283Z   test_consistency_SparseCSC_erfinv_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9317517Z   test_consistency_SparseCSC_erfinv_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9317762Z   test_consistency_SparseCSC_erfinv_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9318015Z   test_consistency_SparseCSC_erfinv_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9318274Z   test_consistency_SparseCSC_expm1_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9318524Z   test_consistency_SparseCSC_expm1_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9318769Z   test_consistency_SparseCSC_expm1_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9319006Z   test_consistency_SparseCSC_expm1_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9319257Z   test_consistency_SparseCSC_expm1_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9319475Z   test_consistency_SparseCSC_expm1_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9319724Z   test_consistency_SparseCSC_expm1_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9320103Z   test_consistency_SparseCSC_expm1_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9320345Z   test_consistency_SparseCSC_expm1_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9320582Z   test_consistency_SparseCSC_expm1_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9320831Z   test_consistency_SparseCSC_floor_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9321071Z   test_consistency_SparseCSC_floor_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9321309Z   test_consistency_SparseCSC_floor_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9321539Z   test_consistency_SparseCSC_floor_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9321754Z   test_consistency_SparseCSC_floor_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9321999Z   test_consistency_SparseCSC_floor_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9322234Z   test_consistency_SparseCSC_floor_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9322533Z   test_consistency_SparseCSC_floor_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9322777Z   test_consistency_SparseCSC_floor_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9323022Z   test_consistency_SparseCSC_frac_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9323266Z   test_consistency_SparseCSC_frac_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9323499Z   test_consistency_SparseCSC_frac_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9323765Z   test_consistency_SparseCSC_frac_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9323994Z   test_consistency_SparseCSC_isinf_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9324233Z   test_consistency_SparseCSC_isinf_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9324489Z   test_consistency_SparseCSC_isinf_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9324737Z   test_consistency_SparseCSC_isinf_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9324979Z   test_consistency_SparseCSC_isinf_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9325219Z   test_consistency_SparseCSC_isinf_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9325461Z   test_consistency_SparseCSC_isinf_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9325701Z   test_consistency_SparseCSC_isinf_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9325946Z   test_consistency_SparseCSC_isinf_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9326162Z   test_consistency_SparseCSC_isinf_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9326402Z   test_consistency_SparseCSC_isinf_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9326645Z   test_consistency_SparseCSC_isinf_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9326884Z   test_consistency_SparseCSC_isinf_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9327131Z   test_consistency_SparseCSC_isnan_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9327369Z   test_consistency_SparseCSC_isnan_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9327620Z   test_consistency_SparseCSC_isnan_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9327946Z   test_consistency_SparseCSC_isnan_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9328164Z   test_consistency_SparseCSC_isnan_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9328405Z   test_consistency_SparseCSC_isnan_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9328637Z   test_consistency_SparseCSC_isnan_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9328874Z   test_consistency_SparseCSC_isnan_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9329108Z   test_consistency_SparseCSC_isnan_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9329346Z   test_consistency_SparseCSC_isnan_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9329585Z   test_consistency_SparseCSC_isnan_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9329830Z   test_consistency_SparseCSC_isnan_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9330084Z   test_consistency_SparseCSC_isneginf_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9330351Z   test_consistency_SparseCSC_isneginf_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9330608Z   test_consistency_SparseCSC_isneginf_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9330857Z   test_consistency_SparseCSC_isneginf_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9331105Z   test_consistency_SparseCSC_isneginf_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9331349Z   test_consistency_SparseCSC_isneginf_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9331598Z   test_consistency_SparseCSC_isneginf_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9331846Z   test_consistency_SparseCSC_isneginf_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9332087Z   test_consistency_SparseCSC_isneginf_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9332328Z   test_consistency_SparseCSC_isneginf_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9332558Z   test_consistency_SparseCSC_isposinf_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9332806Z   test_consistency_SparseCSC_isposinf_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9333053Z   test_consistency_SparseCSC_isposinf_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9333301Z   test_consistency_SparseCSC_isposinf_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9333550Z   test_consistency_SparseCSC_isposinf_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9333804Z   test_consistency_SparseCSC_isposinf_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9334049Z   test_consistency_SparseCSC_isposinf_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9334292Z   test_consistency_SparseCSC_isposinf_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9334535Z   test_consistency_SparseCSC_isposinf_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9334750Z   test_consistency_SparseCSC_isposinf_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9334991Z   test_consistency_SparseCSC_log1p_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9335232Z   test_consistency_SparseCSC_log1p_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9335544Z   test_consistency_SparseCSC_log1p_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9335782Z   test_consistency_SparseCSC_log1p_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9336015Z   test_consistency_SparseCSC_log1p_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9336665Z   test_consistency_SparseCSC_log1p_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9336895Z   test_consistency_SparseCSC_log1p_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9337144Z   test_consistency_SparseCSC_log1p_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9337360Z   test_consistency_SparseCSC_log1p_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9337684Z   test_consistency_SparseCSC_log1p_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9338041Z   test_consistency_SparseCSC_masked_amax_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9338388Z   test_consistency_SparseCSC_masked_amax_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9338838Z   test_consistency_SparseCSC_masked_amax_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9339192Z   test_consistency_SparseCSC_masked_amax_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9339538Z   test_consistency_SparseCSC_masked_amax_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9339886Z   test_consistency_SparseCSC_masked_amax_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9340221Z   test_consistency_SparseCSC_masked_amax_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.005s)
2022-11-23T03:14:21.9340566Z   test_consistency_SparseCSC_masked_amax_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9340898Z   test_consistency_SparseCSC_masked_amax_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9341247Z   test_consistency_SparseCSC_masked_amin_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9341572Z   test_consistency_SparseCSC_masked_amin_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9341916Z   test_consistency_SparseCSC_masked_amin_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9342252Z   test_consistency_SparseCSC_masked_amin_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9342589Z   test_consistency_SparseCSC_masked_amin_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9342927Z   test_consistency_SparseCSC_masked_amin_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9343257Z   test_consistency_SparseCSC_masked_amin_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9343684Z   test_consistency_SparseCSC_masked_amin_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9344025Z   test_consistency_SparseCSC_masked_amin_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.005s)
2022-11-23T03:14:21.9344369Z   test_consistency_SparseCSC_masked_mean_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9344712Z   test_consistency_SparseCSC_masked_mean_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9345064Z   test_consistency_SparseCSC_masked_mean_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9345415Z   test_consistency_SparseCSC_masked_mean_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9345789Z   test_consistency_SparseCSC_masked_mean_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9346139Z   test_consistency_SparseCSC_masked_mean_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9346473Z   test_consistency_SparseCSC_masked_mean_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9346813Z   test_consistency_SparseCSC_masked_mean_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9347156Z   test_consistency_SparseCSC_masked_mean_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9347494Z   test_consistency_SparseCSC_masked_mean_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9347836Z   test_consistency_SparseCSC_masked_mean_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9348172Z   test_consistency_SparseCSC_masked_mean_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.005s)
2022-11-23T03:14:21.9348527Z   test_consistency_SparseCSC_masked_prod_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9348867Z   test_consistency_SparseCSC_masked_prod_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9349224Z   test_consistency_SparseCSC_masked_prod_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9349576Z   test_consistency_SparseCSC_masked_prod_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9349920Z   test_consistency_SparseCSC_masked_prod_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9350247Z   test_consistency_SparseCSC_masked_prod_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9350685Z   test_consistency_SparseCSC_masked_prod_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9351037Z   test_consistency_SparseCSC_masked_prod_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9351386Z   test_consistency_SparseCSC_masked_prod_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9351734Z   test_consistency_SparseCSC_masked_prod_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9352076Z   test_consistency_SparseCSC_masked_prod_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9352421Z   test_consistency_SparseCSC_masked_prod_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.005s)
2022-11-23T03:14:21.9352821Z   test_consistency_SparseCSC_masked_sum_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9353165Z   test_consistency_SparseCSC_masked_sum_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9353517Z   test_consistency_SparseCSC_masked_sum_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9353859Z   test_consistency_SparseCSC_masked_sum_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9354210Z   test_consistency_SparseCSC_masked_sum_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9354555Z   test_consistency_SparseCSC_masked_sum_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9354879Z   test_consistency_SparseCSC_masked_sum_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9355220Z   test_consistency_SparseCSC_masked_sum_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9355545Z   test_consistency_SparseCSC_masked_sum_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9355883Z   test_consistency_SparseCSC_masked_sum_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9356217Z   test_consistency_SparseCSC_masked_sum_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9356554Z   test_consistency_SparseCSC_masked_sum_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.005s)
2022-11-23T03:14:21.9356804Z   test_consistency_SparseCSC_neg_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9357054Z   test_consistency_SparseCSC_neg_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9357296Z   test_consistency_SparseCSC_neg_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9357540Z   test_consistency_SparseCSC_neg_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9357853Z   test_consistency_SparseCSC_neg_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9358073Z   test_consistency_SparseCSC_neg_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9358312Z   test_consistency_SparseCSC_neg_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9358550Z   test_consistency_SparseCSC_neg_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9358788Z   test_consistency_SparseCSC_neg_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9359023Z   test_consistency_SparseCSC_neg_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9359259Z   test_consistency_SparseCSC_neg_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9359498Z   test_consistency_SparseCSC_neg_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9359769Z   test_consistency_SparseCSC_nn_functional_relu_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9360017Z   test_consistency_SparseCSC_nn_functional_relu_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9360379Z   test_consistency_SparseCSC_nn_functional_relu_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9360655Z   test_consistency_SparseCSC_nn_functional_relu_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9360917Z   test_consistency_SparseCSC_nn_functional_relu_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9361179Z   test_consistency_SparseCSC_nn_functional_relu_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9361433Z   test_consistency_SparseCSC_nn_functional_relu_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9361695Z   test_consistency_SparseCSC_nn_functional_relu_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9361949Z   test_consistency_SparseCSC_nn_functional_relu_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9362206Z   test_consistency_SparseCSC_positive_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9362464Z   test_consistency_SparseCSC_positive_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9362697Z   test_consistency_SparseCSC_positive_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9362949Z   test_consistency_SparseCSC_positive_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9363198Z   test_consistency_SparseCSC_positive_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9363441Z   test_consistency_SparseCSC_positive_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9363696Z   test_consistency_SparseCSC_positive_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9363939Z   test_consistency_SparseCSC_positive_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9364182Z   test_consistency_SparseCSC_positive_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9364415Z   test_consistency_SparseCSC_positive_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9364638Z   test_consistency_SparseCSC_positive_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9364884Z   test_consistency_SparseCSC_positive_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9365136Z   test_consistency_SparseCSC_rad2deg_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9365376Z   test_consistency_SparseCSC_rad2deg_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9365715Z   test_consistency_SparseCSC_rad2deg_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9365959Z   test_consistency_SparseCSC_rad2deg_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9366201Z   test_consistency_SparseCSC_rad2deg_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9366447Z   test_consistency_SparseCSC_rad2deg_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9366683Z   test_consistency_SparseCSC_rad2deg_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9366891Z   test_consistency_SparseCSC_rad2deg_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9367143Z   test_consistency_SparseCSC_rad2deg_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9367393Z   test_consistency_SparseCSC_rad2deg_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9367736Z   test_consistency_SparseCSC_randn_like_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9368141Z   test_consistency_SparseCSC_randn_like_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9368506Z   test_consistency_SparseCSC_randn_like_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9368850Z   test_consistency_SparseCSC_randn_like_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9369198Z   test_consistency_SparseCSC_randn_like_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9369545Z   test_consistency_SparseCSC_randn_like_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_csc layout (0.004s)
2022-11-23T03:14:21.9369888Z   test_consistency_SparseCSC_randn_like_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: randn_like does not support input with torch.sparse_csc layout (0.005s)
2022-11-23T03:14:21.9370138Z   test_consistency_SparseCSC_round_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9370362Z   test_consistency_SparseCSC_round_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9370612Z   test_consistency_SparseCSC_round_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9370849Z   test_consistency_SparseCSC_round_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9371097Z   test_consistency_SparseCSC_round_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9371337Z   test_consistency_SparseCSC_round_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9371581Z   test_consistency_SparseCSC_round_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9371827Z   test_consistency_SparseCSC_round_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9372067Z   test_consistency_SparseCSC_round_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9372313Z   test_consistency_SparseCSC_sgn_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9372526Z   test_consistency_SparseCSC_sgn_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9372775Z   test_consistency_SparseCSC_sgn_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9373135Z   test_consistency_SparseCSC_sgn_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9373376Z   test_consistency_SparseCSC_sgn_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9373615Z   test_consistency_SparseCSC_sgn_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9373859Z   test_consistency_SparseCSC_sgn_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9374100Z   test_consistency_SparseCSC_sgn_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9374343Z   test_consistency_SparseCSC_sgn_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9374581Z   test_consistency_SparseCSC_sgn_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9374793Z   test_consistency_SparseCSC_sgn_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9375033Z   test_consistency_SparseCSC_sgn_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9375272Z   test_consistency_SparseCSC_sgn_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9375514Z   test_consistency_SparseCSC_sign_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9375827Z   test_consistency_SparseCSC_sign_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9376426Z   test_consistency_SparseCSC_sign_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9376684Z   test_consistency_SparseCSC_sign_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9376937Z   test_consistency_SparseCSC_sign_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9377166Z   test_consistency_SparseCSC_sign_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9377378Z   test_consistency_SparseCSC_sign_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9377652Z   test_consistency_SparseCSC_sign_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9377859Z   test_consistency_SparseCSC_sign_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9378101Z   test_consistency_SparseCSC_sign_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9378349Z   test_consistency_SparseCSC_signbit_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9378591Z   test_consistency_SparseCSC_signbit_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9378838Z   test_consistency_SparseCSC_signbit_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9379077Z   test_consistency_SparseCSC_signbit_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9379291Z   test_consistency_SparseCSC_signbit_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9379537Z   test_consistency_SparseCSC_signbit_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9379773Z   test_consistency_SparseCSC_signbit_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9380012Z   test_consistency_SparseCSC_signbit_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9380250Z   test_consistency_SparseCSC_signbit_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9380487Z   test_consistency_SparseCSC_signbit_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9380732Z   test_consistency_SparseCSC_sin_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9380970Z   test_consistency_SparseCSC_sin_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9381220Z   test_consistency_SparseCSC_sin_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9381589Z   test_consistency_SparseCSC_sin_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9381829Z   test_consistency_SparseCSC_sin_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9382068Z   test_consistency_SparseCSC_sin_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9382310Z   test_consistency_SparseCSC_sin_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9382550Z   test_consistency_SparseCSC_sin_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9382787Z   test_consistency_SparseCSC_sin_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9383025Z   test_consistency_SparseCSC_sin_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9383262Z   test_consistency_SparseCSC_sin_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9383495Z   test_consistency_SparseCSC_sin_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9383704Z   test_consistency_SparseCSC_sin_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9384022Z   test_consistency_SparseCSC_sinh_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9384269Z   test_consistency_SparseCSC_sinh_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9384519Z   test_consistency_SparseCSC_sinh_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9384763Z   test_consistency_SparseCSC_sinh_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9384999Z   test_consistency_SparseCSC_sinh_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9385243Z   test_consistency_SparseCSC_sinh_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9385481Z   test_consistency_SparseCSC_sinh_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9385723Z   test_consistency_SparseCSC_sinh_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9385940Z   test_consistency_SparseCSC_sinh_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9386177Z   test_consistency_SparseCSC_sinh_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9386415Z   test_consistency_SparseCSC_sinh_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9386649Z   test_consistency_SparseCSC_sinh_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9386883Z   test_consistency_SparseCSC_sinh_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9387135Z   test_consistency_SparseCSC_sqrt_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9387376Z   test_consistency_SparseCSC_sqrt_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9387627Z   test_consistency_SparseCSC_sqrt_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9387848Z   test_consistency_SparseCSC_sqrt_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9388099Z   test_consistency_SparseCSC_sqrt_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9388340Z   test_consistency_SparseCSC_sqrt_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9388574Z   test_consistency_SparseCSC_sqrt_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9388803Z   test_consistency_SparseCSC_sqrt_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9389039Z   test_consistency_SparseCSC_sqrt_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9389350Z   test_consistency_SparseCSC_sqrt_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9389583Z   test_consistency_SparseCSC_sqrt_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9389824Z   test_consistency_SparseCSC_sqrt_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9390043Z   test_consistency_SparseCSC_sqrt_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9390288Z   test_consistency_SparseCSC_tan_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9390524Z   test_consistency_SparseCSC_tan_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9390772Z   test_consistency_SparseCSC_tan_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9391012Z   test_consistency_SparseCSC_tan_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9391254Z   test_consistency_SparseCSC_tan_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9391494Z   test_consistency_SparseCSC_tan_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9391873Z   test_consistency_SparseCSC_tan_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9392115Z   test_consistency_SparseCSC_tan_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9392329Z   test_consistency_SparseCSC_tan_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9392499Z   test_consistency_SparseCSC_tan_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9392734Z   test_consistency_SparseCSC_tan_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9392969Z   test_consistency_SparseCSC_tan_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9393208Z   test_consistency_SparseCSC_tan_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9393451Z   test_consistency_SparseCSC_tanh_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9393683Z   test_consistency_SparseCSC_tanh_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9393934Z   test_consistency_SparseCSC_tanh_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9394187Z   test_consistency_SparseCSC_tanh_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9394407Z   test_consistency_SparseCSC_tanh_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9394645Z   test_consistency_SparseCSC_tanh_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9394882Z   test_consistency_SparseCSC_tanh_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9395118Z   test_consistency_SparseCSC_tanh_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9395357Z   test_consistency_SparseCSC_tanh_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9395597Z   test_consistency_SparseCSC_tanh_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9395835Z   test_consistency_SparseCSC_tanh_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9396076Z   test_consistency_SparseCSC_tanh_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9396291Z   test_consistency_SparseCSC_tanh_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9396550Z   test_consistency_SparseCSC_to_sparse_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9396798Z   test_consistency_SparseCSC_to_sparse_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9397131Z   test_consistency_SparseCSC_to_sparse_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9397386Z   test_consistency_SparseCSC_to_sparse_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.009s)
2022-11-23T03:14:21.9397638Z   test_consistency_SparseCSC_to_sparse_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9397880Z   test_consistency_SparseCSC_to_sparse_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9398137Z   test_consistency_SparseCSC_to_sparse_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9398385Z   test_consistency_SparseCSC_to_sparse_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9398609Z   test_consistency_SparseCSC_to_sparse_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9398849Z   test_consistency_SparseCSC_to_sparse_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9399092Z   test_consistency_SparseCSC_to_sparse_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9399339Z   test_consistency_SparseCSC_to_sparse_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9399637Z   test_consistency_SparseCSC_trunc_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9399884Z   test_consistency_SparseCSC_trunc_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9400116Z   test_consistency_SparseCSC_trunc_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9400355Z   test_consistency_SparseCSC_trunc_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9400599Z   test_consistency_SparseCSC_trunc_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9400815Z   test_consistency_SparseCSC_trunc_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9401062Z   test_consistency_SparseCSC_trunc_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9401299Z   test_consistency_SparseCSC_trunc_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9401538Z   test_consistency_SparseCSC_trunc_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9401835Z   test_consistency_SparseCSR_abs_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9402090Z   test_consistency_SparseCSR_abs_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9402265Z   test_consistency_SparseCSR_abs_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9402507Z   test_consistency_SparseCSR_abs_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9402752Z   test_consistency_SparseCSR_abs_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9403049Z   test_consistency_SparseCSR_abs_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9403349Z   test_consistency_SparseCSR_abs_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9403729Z   test_consistency_SparseCSR_abs_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9404172Z   test_consistency_SparseCSR_abs_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9404418Z   test_consistency_SparseCSR_abs_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9404651Z   test_consistency_SparseCSR_abs_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9404883Z   test_consistency_SparseCSR_abs_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9405116Z   test_consistency_SparseCSR_abs_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9405520Z   test_consistency_SparseCSR_angle_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9405751Z   test_consistency_SparseCSR_angle_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9406006Z   test_consistency_SparseCSR_angle_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9406246Z   test_consistency_SparseCSR_angle_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9406487Z   test_consistency_SparseCSR_angle_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9406726Z   test_consistency_SparseCSR_angle_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9406967Z   test_consistency_SparseCSR_angle_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9407204Z   test_consistency_SparseCSR_angle_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9407444Z   test_consistency_SparseCSR_angle_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9407659Z   test_consistency_SparseCSR_angle_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9407949Z   test_consistency_SparseCSR_angle_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9408203Z   test_consistency_SparseCSR_asin_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9408439Z   test_consistency_SparseCSR_asin_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9408680Z   test_consistency_SparseCSR_asin_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9408924Z   test_consistency_SparseCSR_asin_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9409163Z   test_consistency_SparseCSR_asin_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9409413Z   test_consistency_SparseCSR_asin_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9409652Z   test_consistency_SparseCSR_asin_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9409865Z   test_consistency_SparseCSR_asin_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9410107Z   test_consistency_SparseCSR_asin_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9410343Z   test_consistency_SparseCSR_asin_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9410583Z   test_consistency_SparseCSR_asin_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9410817Z   test_consistency_SparseCSR_asin_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9411051Z   test_consistency_SparseCSR_asin_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9411303Z   test_consistency_SparseCSR_asinh_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9411544Z   test_consistency_SparseCSR_asinh_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9411799Z   test_consistency_SparseCSR_asinh_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9412023Z   test_consistency_SparseCSR_asinh_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9412268Z   test_consistency_SparseCSR_asinh_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9412510Z   test_consistency_SparseCSR_asinh_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9412745Z   test_consistency_SparseCSR_asinh_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9412985Z   test_consistency_SparseCSR_asinh_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9413290Z   test_consistency_SparseCSR_asinh_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9413527Z   test_consistency_SparseCSR_asinh_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9413769Z   test_consistency_SparseCSR_asinh_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9414006Z   test_consistency_SparseCSR_asinh_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9414219Z   test_consistency_SparseCSR_asinh_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9414463Z   test_consistency_SparseCSR_atan_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9414706Z   test_consistency_SparseCSR_atan_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9414949Z   test_consistency_SparseCSR_atan_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9415197Z   test_consistency_SparseCSR_atan_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9415515Z   test_consistency_SparseCSR_atan_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9415823Z   test_consistency_SparseCSR_atan_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9416131Z   test_consistency_SparseCSR_atan_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9416408Z   test_consistency_SparseCSR_atan_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9416972Z   test_consistency_SparseCSR_atan_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9417225Z   test_consistency_SparseCSR_atan_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9417462Z   test_consistency_SparseCSR_atan_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9417735Z   test_consistency_SparseCSR_atan_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9417939Z   test_consistency_SparseCSR_atan_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9418193Z   test_consistency_SparseCSR_atanh_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9418429Z   test_consistency_SparseCSR_atanh_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9418683Z   test_consistency_SparseCSR_atanh_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9418907Z   test_consistency_SparseCSR_atanh_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9419150Z   test_consistency_SparseCSR_atanh_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9419396Z   test_consistency_SparseCSR_atanh_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9419645Z   test_consistency_SparseCSR_atanh_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9419882Z   test_consistency_SparseCSR_atanh_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9420124Z   test_consistency_SparseCSR_atanh_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9420362Z   test_consistency_SparseCSR_atanh_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9420602Z   test_consistency_SparseCSR_atanh_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9420839Z   test_consistency_SparseCSR_atanh_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9421052Z   test_consistency_SparseCSR_atanh_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9421299Z   test_consistency_SparseCSR_ceil_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9421703Z   test_consistency_SparseCSR_ceil_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9421943Z   test_consistency_SparseCSR_ceil_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9422193Z   test_consistency_SparseCSR_ceil_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9422427Z   test_consistency_SparseCSR_ceil_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9422662Z   test_consistency_SparseCSR_ceil_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9422896Z   test_consistency_SparseCSR_ceil_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9423140Z   test_consistency_SparseCSR_ceil_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9423350Z   test_consistency_SparseCSR_ceil_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9423614Z   test_consistency_SparseCSR_conj_physical_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9423870Z   test_consistency_SparseCSR_conj_physical_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9424212Z   test_consistency_SparseCSR_conj_physical_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9424484Z   test_consistency_SparseCSR_conj_physical_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9424749Z   test_consistency_SparseCSR_conj_physical_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9425008Z   test_consistency_SparseCSR_conj_physical_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9425266Z   test_consistency_SparseCSR_conj_physical_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9425519Z   test_consistency_SparseCSR_conj_physical_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9425752Z   test_consistency_SparseCSR_conj_physical_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9425999Z   test_consistency_SparseCSR_conj_physical_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9426256Z   test_consistency_SparseCSR_conj_physical_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9426510Z   test_consistency_SparseCSR_conj_physical_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9426763Z   test_consistency_SparseCSR_conj_physical_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9427016Z   test_consistency_SparseCSR_deg2rad_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9427259Z   test_consistency_SparseCSR_deg2rad_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9427511Z   test_consistency_SparseCSR_deg2rad_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9427756Z   test_consistency_SparseCSR_deg2rad_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9427972Z   test_consistency_SparseCSR_deg2rad_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9428217Z   test_consistency_SparseCSR_deg2rad_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9428464Z   test_consistency_SparseCSR_deg2rad_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9428706Z   test_consistency_SparseCSR_deg2rad_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9428949Z   test_consistency_SparseCSR_deg2rad_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9429185Z   test_consistency_SparseCSR_deg2rad_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9429500Z   test_consistency_SparseCSR_erf_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9429737Z   test_consistency_SparseCSR_erf_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9429984Z   test_consistency_SparseCSR_erf_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9430207Z   test_consistency_SparseCSR_erf_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9430445Z   test_consistency_SparseCSR_erf_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9430684Z   test_consistency_SparseCSR_erf_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9430920Z   test_consistency_SparseCSR_erf_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9431155Z   test_consistency_SparseCSR_erf_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9431394Z   test_consistency_SparseCSR_erf_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9431630Z   test_consistency_SparseCSR_erf_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9431869Z   test_consistency_SparseCSR_erfinv_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9432146Z   test_consistency_SparseCSR_erfinv_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9432403Z   test_consistency_SparseCSR_erfinv_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9432640Z   test_consistency_SparseCSR_erfinv_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9432892Z   test_consistency_SparseCSR_erfinv_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9433127Z   test_consistency_SparseCSR_erfinv_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9433368Z   test_consistency_SparseCSR_erfinv_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9433605Z   test_consistency_SparseCSR_erfinv_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9433849Z   test_consistency_SparseCSR_erfinv_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9434095Z   test_consistency_SparseCSR_expm1_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9434313Z   test_consistency_SparseCSR_expm1_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9434556Z   test_consistency_SparseCSR_expm1_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9434790Z   test_consistency_SparseCSR_expm1_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9435034Z   test_consistency_SparseCSR_expm1_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9435329Z   test_consistency_SparseCSR_expm1_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9435501Z   test_consistency_SparseCSR_expm1_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9435744Z   test_consistency_SparseCSR_expm1_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9435982Z   test_consistency_SparseCSR_expm1_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9436214Z   test_consistency_SparseCSR_expm1_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9436441Z   test_consistency_SparseCSR_floor_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9436683Z   test_consistency_SparseCSR_floor_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9436932Z   test_consistency_SparseCSR_floor_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9437245Z   test_consistency_SparseCSR_floor_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9437482Z   test_consistency_SparseCSR_floor_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9437721Z   test_consistency_SparseCSR_floor_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9437956Z   test_consistency_SparseCSR_floor_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9438199Z   test_consistency_SparseCSR_floor_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9438435Z   test_consistency_SparseCSR_floor_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9438661Z   test_consistency_SparseCSR_frac_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9438902Z   test_consistency_SparseCSR_frac_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9439140Z   test_consistency_SparseCSR_frac_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9439382Z   test_consistency_SparseCSR_frac_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9439684Z   test_consistency_SparseCSR_isinf_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9439944Z   test_consistency_SparseCSR_isinf_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9440195Z   test_consistency_SparseCSR_isinf_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9440446Z   test_consistency_SparseCSR_isinf_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9440695Z   test_consistency_SparseCSR_isinf_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9440913Z   test_consistency_SparseCSR_isinf_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9441152Z   test_consistency_SparseCSR_isinf_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9441391Z   test_consistency_SparseCSR_isinf_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9441643Z   test_consistency_SparseCSR_isinf_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9441893Z   test_consistency_SparseCSR_isinf_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9442237Z   test_consistency_SparseCSR_isinf_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9442482Z   test_consistency_SparseCSR_isinf_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9442724Z   test_consistency_SparseCSR_isinf_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9442946Z   test_consistency_SparseCSR_isnan_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9443192Z   test_consistency_SparseCSR_isnan_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9443439Z   test_consistency_SparseCSR_isnan_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9443689Z   test_consistency_SparseCSR_isnan_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9443931Z   test_consistency_SparseCSR_isnan_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9444178Z   test_consistency_SparseCSR_isnan_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9444413Z   test_consistency_SparseCSR_isnan_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9444647Z   test_consistency_SparseCSR_isnan_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9444887Z   test_consistency_SparseCSR_isnan_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9445181Z   test_consistency_SparseCSR_isnan_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9445426Z   test_consistency_SparseCSR_isnan_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9445659Z   test_consistency_SparseCSR_isnan_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9445916Z   test_consistency_SparseCSR_isneginf_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9446179Z   test_consistency_SparseCSR_isneginf_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9446435Z   test_consistency_SparseCSR_isneginf_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9446845Z   test_consistency_SparseCSR_isneginf_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9447212Z   test_consistency_SparseCSR_isneginf_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9447730Z   test_consistency_SparseCSR_isneginf_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9448042Z   test_consistency_SparseCSR_isneginf_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9448438Z   test_consistency_SparseCSR_isneginf_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9448693Z   test_consistency_SparseCSR_isneginf_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9448943Z   test_consistency_SparseCSR_isneginf_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9449200Z   test_consistency_SparseCSR_isposinf_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9449444Z   test_consistency_SparseCSR_isposinf_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9449691Z   test_consistency_SparseCSR_isposinf_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9449934Z   test_consistency_SparseCSR_isposinf_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9450179Z   test_consistency_SparseCSR_isposinf_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9450407Z   test_consistency_SparseCSR_isposinf_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9450657Z   test_consistency_SparseCSR_isposinf_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9450897Z   test_consistency_SparseCSR_isposinf_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9451146Z   test_consistency_SparseCSR_isposinf_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9451390Z   test_consistency_SparseCSR_isposinf_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9451635Z   test_consistency_SparseCSR_log1p_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9451877Z   test_consistency_SparseCSR_log1p_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9452117Z   test_consistency_SparseCSR_log1p_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9452363Z   test_consistency_SparseCSR_log1p_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9452579Z   test_consistency_SparseCSR_log1p_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9452817Z   test_consistency_SparseCSR_log1p_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9453057Z   test_consistency_SparseCSR_log1p_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9453294Z   test_consistency_SparseCSR_log1p_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9453605Z   test_consistency_SparseCSR_log1p_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9453843Z   test_consistency_SparseCSR_log1p_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9454890Z   test_consistency_SparseCSR_masked_amax_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/masked/_ops.py:767: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1681.)
2022-11-23T03:14:21.9455026Z   new_values.scatter_reduce_(
2022-11-23T03:14:21.9455131Z ok (0.047s)
2022-11-23T03:14:21.9455362Z   test_consistency_SparseCSR_masked_amax_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.045s)
2022-11-23T03:14:21.9455618Z   test_consistency_SparseCSR_masked_amax_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.045s)
2022-11-23T03:14:21.9455868Z   test_consistency_SparseCSR_masked_amax_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.045s)
2022-11-23T03:14:21.9456576Z   test_consistency_SparseCSR_masked_amax_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9457065Z   test_consistency_SparseCSR_masked_amax_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9457425Z   test_consistency_SparseCSR_masked_amax_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9457765Z   test_consistency_SparseCSR_masked_amax_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9458098Z   test_consistency_SparseCSR_masked_amax_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.amax does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9458358Z   test_consistency_SparseCSR_masked_amin_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.046s)
2022-11-23T03:14:21.9458693Z   test_consistency_SparseCSR_masked_amin_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.046s)
2022-11-23T03:14:21.9458929Z   test_consistency_SparseCSR_masked_amin_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.045s)
2022-11-23T03:14:21.9459163Z   test_consistency_SparseCSR_masked_amin_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.045s)
2022-11-23T03:14:21.9459430Z   test_consistency_SparseCSR_masked_amin_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9459761Z   test_consistency_SparseCSR_masked_amin_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9460096Z   test_consistency_SparseCSR_masked_amin_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9460432Z   test_consistency_SparseCSR_masked_amin_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9460763Z   test_consistency_SparseCSR_masked_amin_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.amin does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9461019Z   test_consistency_SparseCSR_masked_mean_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.048s)
2022-11-23T03:14:21.9461356Z   test_consistency_SparseCSR_masked_mean_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9461703Z   test_consistency_SparseCSR_masked_mean_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9462152Z   test_consistency_SparseCSR_masked_mean_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9462408Z   test_consistency_SparseCSR_masked_mean_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.048s)
2022-11-23T03:14:21.9462633Z   test_consistency_SparseCSR_masked_mean_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.047s)
2022-11-23T03:14:21.9462886Z   test_consistency_SparseCSR_masked_mean_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.048s)
2022-11-23T03:14:21.9463224Z   test_consistency_SparseCSR_masked_mean_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9463568Z   test_consistency_SparseCSR_masked_mean_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9463912Z   test_consistency_SparseCSR_masked_mean_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9464299Z   test_consistency_SparseCSR_masked_mean_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9464642Z   test_consistency_SparseCSR_masked_mean_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: masked.mean does not support input with torch.sparse_csr layout (0.004s)
2022-11-23T03:14:21.9464899Z   test_consistency_SparseCSR_masked_prod_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.046s)
2022-11-23T03:14:21.9465150Z   test_consistency_SparseCSR_masked_prod_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.019s)
2022-11-23T03:14:21.9465415Z   test_consistency_SparseCSR_masked_prod_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.021s)
2022-11-23T03:14:21.9465655Z   test_consistency_SparseCSR_masked_prod_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.021s)
2022-11-23T03:14:21.9465911Z   test_consistency_SparseCSR_masked_prod_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.045s)
2022-11-23T03:14:21.9466159Z   test_consistency_SparseCSR_masked_prod_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.045s)
2022-11-23T03:14:21.9466412Z   test_consistency_SparseCSR_masked_prod_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.045s)
2022-11-23T03:14:21.9466660Z   test_consistency_SparseCSR_masked_prod_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.018s)
2022-11-23T03:14:21.9466910Z   test_consistency_SparseCSR_masked_prod_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.018s)
2022-11-23T03:14:21.9467163Z   test_consistency_SparseCSR_masked_prod_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.017s)
2022-11-23T03:14:21.9467418Z   test_consistency_SparseCSR_masked_prod_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.018s)
2022-11-23T03:14:21.9467674Z   test_consistency_SparseCSR_masked_prod_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.017s)
2022-11-23T03:14:21.9467904Z   test_consistency_SparseCSR_masked_sum_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.044s)
2022-11-23T03:14:21.9468153Z   test_consistency_SparseCSR_masked_sum_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.018s)
2022-11-23T03:14:21.9468405Z   test_consistency_SparseCSR_masked_sum_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.017s)
2022-11-23T03:14:21.9468664Z   test_consistency_SparseCSR_masked_sum_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.017s)
2022-11-23T03:14:21.9468915Z   test_consistency_SparseCSR_masked_sum_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.044s)
2022-11-23T03:14:21.9469161Z   test_consistency_SparseCSR_masked_sum_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.044s)
2022-11-23T03:14:21.9469476Z   test_consistency_SparseCSR_masked_sum_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.043s)
2022-11-23T03:14:21.9469727Z   test_consistency_SparseCSR_masked_sum_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.018s)
2022-11-23T03:14:21.9469971Z   test_consistency_SparseCSR_masked_sum_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.018s)
2022-11-23T03:14:21.9470201Z   test_consistency_SparseCSR_masked_sum_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.018s)
2022-11-23T03:14:21.9470453Z   test_consistency_SparseCSR_masked_sum_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.019s)
2022-11-23T03:14:21.9470696Z   test_consistency_SparseCSR_masked_sum_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.017s)
2022-11-23T03:14:21.9470944Z   test_consistency_SparseCSR_neg_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9471193Z   test_consistency_SparseCSR_neg_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9471440Z   test_consistency_SparseCSR_neg_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9471678Z   test_consistency_SparseCSR_neg_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9472006Z   test_consistency_SparseCSR_neg_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9472260Z   test_consistency_SparseCSR_neg_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9472476Z   test_consistency_SparseCSR_neg_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9472712Z   test_consistency_SparseCSR_neg_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9472945Z   test_consistency_SparseCSR_neg_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9473182Z   test_consistency_SparseCSR_neg_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9473425Z   test_consistency_SparseCSR_neg_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9473656Z   test_consistency_SparseCSR_neg_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9473925Z   test_consistency_SparseCSR_nn_functional_relu_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9474195Z   test_consistency_SparseCSR_nn_functional_relu_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9474463Z   test_consistency_SparseCSR_nn_functional_relu_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9474703Z   test_consistency_SparseCSR_nn_functional_relu_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9474964Z   test_consistency_SparseCSR_nn_functional_relu_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9475296Z   test_consistency_SparseCSR_nn_functional_relu_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9475552Z   test_consistency_SparseCSR_nn_functional_relu_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9475809Z   test_consistency_SparseCSR_nn_functional_relu_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9476075Z   test_consistency_SparseCSR_nn_functional_relu_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9476328Z   test_consistency_SparseCSR_positive_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9476584Z   test_consistency_SparseCSR_positive_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9476838Z   test_consistency_SparseCSR_positive_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9477068Z   test_consistency_SparseCSR_positive_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9477403Z   test_consistency_SparseCSR_positive_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9477651Z   test_consistency_SparseCSR_positive_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9477904Z   test_consistency_SparseCSR_positive_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9478149Z   test_consistency_SparseCSR_positive_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9478398Z   test_consistency_SparseCSR_positive_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9478643Z   test_consistency_SparseCSR_positive_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9478882Z   test_consistency_SparseCSR_positive_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9479121Z   test_consistency_SparseCSR_positive_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9479352Z   test_consistency_SparseCSR_rad2deg_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9479599Z   test_consistency_SparseCSR_rad2deg_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9479900Z   test_consistency_SparseCSR_rad2deg_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9480151Z   test_consistency_SparseCSR_rad2deg_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9480385Z   test_consistency_SparseCSR_rad2deg_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9480625Z   test_consistency_SparseCSR_rad2deg_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9480858Z   test_consistency_SparseCSR_rad2deg_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9481104Z   test_consistency_SparseCSR_rad2deg_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9481351Z   test_consistency_SparseCSR_rad2deg_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9481569Z   test_consistency_SparseCSR_rad2deg_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9481831Z   test_consistency_SparseCSR_randn_like_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9482088Z   test_consistency_SparseCSR_randn_like_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9482347Z   test_consistency_SparseCSR_randn_like_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9482601Z   test_consistency_SparseCSR_randn_like_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9482854Z   test_consistency_SparseCSR_randn_like_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9483110Z   test_consistency_SparseCSR_randn_like_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9483359Z   test_consistency_SparseCSR_randn_like_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9483602Z   test_consistency_SparseCSR_round_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9483824Z   test_consistency_SparseCSR_round_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9484062Z   test_consistency_SparseCSR_round_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9484296Z   test_consistency_SparseCSR_round_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9484536Z   test_consistency_SparseCSR_round_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9484773Z   test_consistency_SparseCSR_round_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9485076Z   test_consistency_SparseCSR_round_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9485316Z   test_consistency_SparseCSR_round_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9485556Z   test_consistency_SparseCSR_round_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9485803Z   test_consistency_SparseCSR_sgn_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9486021Z   test_consistency_SparseCSR_sgn_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9486263Z   test_consistency_SparseCSR_sgn_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9486500Z   test_consistency_SparseCSR_sgn_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9486731Z   test_consistency_SparseCSR_sgn_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9486968Z   test_consistency_SparseCSR_sgn_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9487207Z   test_consistency_SparseCSR_sgn_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9487450Z   test_consistency_SparseCSR_sgn_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9487744Z   test_consistency_SparseCSR_sgn_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9487990Z   test_consistency_SparseCSR_sgn_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9488203Z   test_consistency_SparseCSR_sgn_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9488440Z   test_consistency_SparseCSR_sgn_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9488671Z   test_consistency_SparseCSR_sgn_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9488922Z   test_consistency_SparseCSR_sign_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9489158Z   test_consistency_SparseCSR_sign_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9489403Z   test_consistency_SparseCSR_sign_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9489645Z   test_consistency_SparseCSR_sign_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9489882Z   test_consistency_SparseCSR_sign_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9490099Z   test_consistency_SparseCSR_sign_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9490344Z   test_consistency_SparseCSR_sign_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9490580Z   test_consistency_SparseCSR_sign_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9490818Z   test_consistency_SparseCSR_sign_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9491052Z   test_consistency_SparseCSR_sign_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9491300Z   test_consistency_SparseCSR_signbit_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9491544Z   test_consistency_SparseCSR_signbit_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9491809Z   test_consistency_SparseCSR_signbit_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9492059Z   test_consistency_SparseCSR_signbit_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9492275Z   test_consistency_SparseCSR_signbit_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9492523Z   test_consistency_SparseCSR_signbit_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9492832Z   test_consistency_SparseCSR_signbit_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9493065Z   test_consistency_SparseCSR_signbit_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9493306Z   test_consistency_SparseCSR_signbit_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9493554Z   test_consistency_SparseCSR_signbit_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9493792Z   test_consistency_SparseCSR_sin_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9494025Z   test_consistency_SparseCSR_sin_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9494276Z   test_consistency_SparseCSR_sin_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9494500Z   test_consistency_SparseCSR_sin_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9494738Z   test_consistency_SparseCSR_sin_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9494980Z   test_consistency_SparseCSR_sin_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9495216Z   test_consistency_SparseCSR_sin_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9495516Z   test_consistency_SparseCSR_sin_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9495766Z   test_consistency_SparseCSR_sin_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9496004Z   test_consistency_SparseCSR_sin_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9496544Z   test_consistency_SparseCSR_sin_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9496790Z   test_consistency_SparseCSR_sin_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9497008Z   test_consistency_SparseCSR_sin_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9497261Z   test_consistency_SparseCSR_sinh_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9497490Z   test_consistency_SparseCSR_sinh_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9497744Z   test_consistency_SparseCSR_sinh_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9497990Z   test_consistency_SparseCSR_sinh_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9498230Z   test_consistency_SparseCSR_sinh_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9498471Z   test_consistency_SparseCSR_sinh_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9498704Z   test_consistency_SparseCSR_sinh_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9498923Z   test_consistency_SparseCSR_sinh_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9499169Z   test_consistency_SparseCSR_sinh_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9499408Z   test_consistency_SparseCSR_sinh_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9499654Z   test_consistency_SparseCSR_sinh_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9499887Z   test_consistency_SparseCSR_sinh_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9500122Z   test_consistency_SparseCSR_sinh_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9500361Z   test_consistency_SparseCSR_sqrt_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9500594Z   test_consistency_SparseCSR_sqrt_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9500842Z   test_consistency_SparseCSR_sqrt_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9501220Z   test_consistency_SparseCSR_sqrt_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9501462Z   test_consistency_SparseCSR_sqrt_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9501703Z   test_consistency_SparseCSR_sqrt_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9501945Z   test_consistency_SparseCSR_sqrt_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9502184Z   test_consistency_SparseCSR_sqrt_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9502419Z   test_consistency_SparseCSR_sqrt_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9502658Z   test_consistency_SparseCSR_sqrt_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9502961Z   test_consistency_SparseCSR_sqrt_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9503173Z   test_consistency_SparseCSR_sqrt_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9503346Z   test_consistency_SparseCSR_sqrt_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9503674Z   test_consistency_SparseCSR_tan_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9503923Z   test_consistency_SparseCSR_tan_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9504173Z   test_consistency_SparseCSR_tan_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9504416Z   test_consistency_SparseCSR_tan_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9504657Z   test_consistency_SparseCSR_tan_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9504896Z   test_consistency_SparseCSR_tan_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9505143Z   test_consistency_SparseCSR_tan_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9505380Z   test_consistency_SparseCSR_tan_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9505597Z   test_consistency_SparseCSR_tan_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9505961Z   test_consistency_SparseCSR_tan_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9506196Z   test_consistency_SparseCSR_tan_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9506432Z   test_consistency_SparseCSR_tan_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9506670Z   test_consistency_SparseCSR_tan_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9506912Z   test_consistency_SparseCSR_tanh_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9507152Z   test_consistency_SparseCSR_tanh_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9507402Z   test_consistency_SparseCSR_tanh_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9507632Z   test_consistency_SparseCSR_tanh_cuda_complex32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9507878Z   test_consistency_SparseCSR_tanh_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9508123Z   test_consistency_SparseCSR_tanh_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9508367Z   test_consistency_SparseCSR_tanh_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9508603Z   test_consistency_SparseCSR_tanh_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9508842Z   test_consistency_SparseCSR_tanh_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9509147Z   test_consistency_SparseCSR_tanh_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9509385Z   test_consistency_SparseCSR_tanh_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9509626Z   test_consistency_SparseCSR_tanh_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9509842Z   test_consistency_SparseCSR_tanh_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9510100Z   test_consistency_SparseCSR_to_sparse_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9510350Z   test_consistency_SparseCSR_to_sparse_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9510603Z   test_consistency_SparseCSR_to_sparse_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9510855Z   test_consistency_SparseCSR_to_sparse_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9511109Z   test_consistency_SparseCSR_to_sparse_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9511360Z   test_consistency_SparseCSR_to_sparse_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9511663Z   test_consistency_SparseCSR_to_sparse_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9511924Z   test_consistency_SparseCSR_to_sparse_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9512145Z   test_consistency_SparseCSR_to_sparse_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9512386Z   test_consistency_SparseCSR_to_sparse_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9512631Z   test_consistency_SparseCSR_to_sparse_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9512874Z   test_consistency_SparseCSR_to_sparse_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9513115Z   test_consistency_SparseCSR_trunc_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9513363Z   test_consistency_SparseCSR_trunc_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9513604Z   test_consistency_SparseCSR_trunc_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9513838Z   test_consistency_SparseCSR_trunc_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9514078Z   test_consistency_SparseCSR_trunc_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9514293Z   test_consistency_SparseCSR_trunc_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9514530Z   test_consistency_SparseCSR_trunc_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9514774Z   test_consistency_SparseCSR_trunc_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9515020Z   test_consistency_SparseCSR_trunc_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.005s)
2022-11-23T03:14:21.9515248Z   test_copy_SparseBSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.020s)
2022-11-23T03:14:21.9515481Z   test_copy_SparseBSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.019s)
2022-11-23T03:14:21.9515708Z   test_copy_SparseBSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.021s)
2022-11-23T03:14:21.9515991Z   test_copy_SparseBSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.022s)
2022-11-23T03:14:21.9516221Z   test_copy_SparseBSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.020s)
2022-11-23T03:14:21.9516423Z   test_copy_SparseBSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.020s)
2022-11-23T03:14:21.9516645Z   test_copy_SparseBSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.020s)
2022-11-23T03:14:21.9516945Z   test_copy_SparseBSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.020s)
2022-11-23T03:14:21.9517165Z   test_copy_SparseBSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.019s)
2022-11-23T03:14:21.9517376Z   test_copy_SparseBSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.019s)
2022-11-23T03:14:21.9517598Z   test_copy_SparseBSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.020s)
2022-11-23T03:14:21.9517810Z   test_copy_SparseBSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.021s)
2022-11-23T03:14:21.9518039Z   test_copy_SparseBSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.021s)
2022-11-23T03:14:21.9518230Z   test_copy_SparseBSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.019s)
2022-11-23T03:14:21.9518456Z   test_copy_SparseBSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.020s)
2022-11-23T03:14:21.9518685Z   test_copy_SparseBSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.021s)
2022-11-23T03:14:21.9518915Z   test_copy_SparseBSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.020s)
2022-11-23T03:14:21.9519141Z   test_copy_SparseBSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.021s)
2022-11-23T03:14:21.9519360Z   test_copy_SparseBSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.020s)
2022-11-23T03:14:21.9519630Z   test_copy_SparseBSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.020s)
2022-11-23T03:14:21.9519851Z   test_copy_SparseBSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.019s)
2022-11-23T03:14:21.9520041Z   test_copy_SparseBSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.019s)
2022-11-23T03:14:21.9520254Z   test_copy_SparseBSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.019s)
2022-11-23T03:14:21.9520463Z   test_copy_SparseBSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.019s)
2022-11-23T03:14:21.9520688Z   test_copy_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.038s)
2022-11-23T03:14:21.9520909Z   test_copy_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9521138Z   test_copy_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.038s)
2022-11-23T03:14:21.9521362Z   test_copy_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.040s)
2022-11-23T03:14:21.9521595Z   test_copy_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.038s)
2022-11-23T03:14:21.9521793Z   test_copy_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.039s)
2022-11-23T03:14:21.9522016Z   test_copy_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.039s)
2022-11-23T03:14:21.9522234Z   test_copy_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.038s)
2022-11-23T03:14:21.9522451Z   test_copy_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.038s)
2022-11-23T03:14:21.9522664Z   test_copy_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.038s)
2022-11-23T03:14:21.9522891Z   test_copy_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9523109Z   test_copy_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.038s)
2022-11-23T03:14:21.9523332Z   test_copy_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.038s)
2022-11-23T03:14:21.9523553Z   test_copy_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9523760Z   test_copy_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.039s)
2022-11-23T03:14:21.9523986Z   test_copy_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.038s)
2022-11-23T03:14:21.9524216Z   test_copy_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.038s)
2022-11-23T03:14:21.9524443Z   test_copy_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.038s)
2022-11-23T03:14:21.9524737Z   test_copy_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.039s)
2022-11-23T03:14:21.9524959Z   test_copy_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9525180Z   test_copy_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9525396Z   test_copy_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9525589Z   test_copy_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9525802Z   test_copy_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9526041Z   test_copy_errors_SparseBSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.061s)
2022-11-23T03:14:21.9526273Z   test_copy_errors_SparseBSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.059s)
2022-11-23T03:14:21.9526514Z   test_copy_errors_SparseBSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.061s)
2022-11-23T03:14:21.9526759Z   test_copy_errors_SparseBSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.059s)
2022-11-23T03:14:21.9526998Z   test_copy_errors_SparseBSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.059s)
2022-11-23T03:14:21.9527230Z   test_copy_errors_SparseBSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.059s)
2022-11-23T03:14:21.9527608Z   test_copy_errors_SparseBSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.059s)
2022-11-23T03:14:21.9527837Z   test_copy_errors_SparseBSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.059s)
2022-11-23T03:14:21.9528068Z   test_copy_errors_SparseBSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.060s)
2022-11-23T03:14:21.9528295Z   test_copy_errors_SparseBSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.059s)
2022-11-23T03:14:21.9528523Z   test_copy_errors_SparseBSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.061s)
2022-11-23T03:14:21.9528752Z   test_copy_errors_SparseBSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.059s)
2022-11-23T03:14:21.9528991Z   test_copy_errors_SparseBSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.059s)
2022-11-23T03:14:21.9529222Z   test_copy_errors_SparseBSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.059s)
2022-11-23T03:14:21.9529466Z   test_copy_errors_SparseBSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.059s)
2022-11-23T03:14:21.9529679Z   test_copy_errors_SparseBSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.060s)
2022-11-23T03:14:21.9529913Z   test_copy_errors_SparseBSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.059s)
2022-11-23T03:14:21.9530149Z   test_copy_errors_SparseBSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.060s)
2022-11-23T03:14:21.9530375Z   test_copy_errors_SparseBSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.061s)
2022-11-23T03:14:21.9530605Z   test_copy_errors_SparseBSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.060s)
2022-11-23T03:14:21.9530837Z   test_copy_errors_SparseBSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.059s)
2022-11-23T03:14:21.9531061Z   test_copy_errors_SparseBSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.059s)
2022-11-23T03:14:21.9531286Z   test_copy_errors_SparseBSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.059s)
2022-11-23T03:14:21.9531514Z   test_copy_errors_SparseBSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.059s)
2022-11-23T03:14:21.9531729Z   test_copy_errors_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9531957Z   test_copy_errors_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9532197Z   test_copy_errors_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.042s)
2022-11-23T03:14:21.9532434Z   test_copy_errors_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9532752Z   test_copy_errors_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9532984Z   test_copy_errors_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9533210Z   test_copy_errors_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9533442Z   test_copy_errors_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9533643Z   test_copy_errors_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9533866Z   test_copy_errors_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9534091Z   test_copy_errors_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.042s)
2022-11-23T03:14:21.9534311Z   test_copy_errors_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9534546Z   test_copy_errors_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9534777Z   test_copy_errors_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.040s)
2022-11-23T03:14:21.9535020Z   test_copy_errors_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.040s)
2022-11-23T03:14:21.9535302Z   test_copy_errors_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.040s)
2022-11-23T03:14:21.9535546Z   test_copy_errors_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9535755Z   test_copy_errors_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9535989Z   test_copy_errors_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.042s)
2022-11-23T03:14:21.9536810Z   test_copy_errors_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9537032Z   test_copy_errors_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9537286Z   test_copy_errors_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9537514Z   test_copy_errors_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9537715Z   test_copy_errors_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9537958Z   test_dim_SparseBSC_cuda (__main__.TestSparseCompressedCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:14:21.9538177Z   test_dim_SparseBSR_cuda (__main__.TestSparseCompressedCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:14:21.9538425Z   test_dim_SparseCSC_cuda (__main__.TestSparseCompressedCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:14:21.9538661Z   test_dim_SparseCSR_cuda (__main__.TestSparseCompressedCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:14:21.9538895Z   test_empty_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9539124Z   test_empty_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9539354Z   test_empty_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9539580Z   test_empty_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9539808Z   test_empty_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9540031Z   test_empty_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9540233Z   test_empty_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9540461Z   test_empty_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9540683Z   test_empty_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9540903Z   test_empty_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9541283Z   test_empty_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9541511Z   test_empty_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9541736Z   test_empty_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9541959Z   test_empty_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9542168Z   test_empty_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9542396Z   test_empty_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.035s)
2022-11-23T03:14:21.9542624Z   test_empty_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9542846Z   test_empty_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9543071Z   test_empty_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9543294Z   test_empty_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9543513Z   test_empty_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9543728Z   test_empty_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9544017Z   test_empty_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9544218Z   test_empty_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9544462Z   test_empty_errors_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9544692Z   test_empty_errors_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9544988Z   test_empty_errors_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9545231Z   test_empty_errors_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9545473Z   test_empty_errors_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9545714Z   test_empty_errors_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9545955Z   test_empty_errors_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9546161Z   test_empty_errors_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9546396Z   test_empty_errors_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9546618Z   test_empty_errors_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9546858Z   test_empty_errors_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9547090Z   test_empty_errors_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9547328Z   test_empty_errors_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9547555Z   test_empty_errors_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9547793Z   test_empty_errors_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9548038Z   test_empty_errors_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9548252Z   test_empty_errors_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9548485Z   test_empty_errors_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9548717Z   test_empty_errors_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9548945Z   test_empty_errors_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9549241Z   test_empty_errors_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9549472Z   test_empty_errors_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9549699Z   test_empty_errors_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9549927Z   test_empty_errors_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9550155Z   test_empty_like_SparseBSC_SparseBSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9550405Z   test_empty_like_SparseBSC_SparseBSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9550656Z   test_empty_like_SparseBSC_SparseBSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9550916Z   test_empty_like_SparseBSC_SparseBSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9551174Z   test_empty_like_SparseBSC_SparseBSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9551428Z   test_empty_like_SparseBSC_SparseBSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9551676Z   test_empty_like_SparseBSC_SparseBSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9551970Z   test_empty_like_SparseBSC_SparseBSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9552217Z   test_empty_like_SparseBSC_SparseBSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9552432Z   test_empty_like_SparseBSC_SparseBSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9552680Z   test_empty_like_SparseBSC_SparseBSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9552909Z   test_empty_like_SparseBSC_SparseBSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.013s)
2022-11-23T03:14:21.9553163Z   test_empty_like_SparseBSC_SparseBSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9553393Z   test_empty_like_SparseBSC_SparseBSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9553644Z   test_empty_like_SparseBSC_SparseBSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9553893Z   test_empty_like_SparseBSC_SparseBSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9554134Z   test_empty_like_SparseBSC_SparseBSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9554370Z   test_empty_like_SparseBSC_SparseBSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9554590Z   test_empty_like_SparseBSC_SparseBSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9554827Z   test_empty_like_SparseBSC_SparseBSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9555073Z   test_empty_like_SparseBSC_SparseBSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9555313Z   test_empty_like_SparseBSC_SparseBSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9555554Z   test_empty_like_SparseBSC_SparseBSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9555792Z   test_empty_like_SparseBSC_SparseBSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9556035Z   test_empty_like_SparseBSC_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9556272Z   test_empty_like_SparseBSC_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9556519Z   test_empty_like_SparseBSC_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9556747Z   test_empty_like_SparseBSC_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9557051Z   test_empty_like_SparseBSC_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9557294Z   test_empty_like_SparseBSC_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9557543Z   test_empty_like_SparseBSC_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9557782Z   test_empty_like_SparseBSC_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9558019Z   test_empty_like_SparseBSC_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9558250Z   test_empty_like_SparseBSC_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9558485Z   test_empty_like_SparseBSC_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9558722Z   test_empty_like_SparseBSC_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9558947Z   test_empty_like_SparseBSC_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9559183Z   test_empty_like_SparseBSC_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9559478Z   test_empty_like_SparseBSC_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9559732Z   test_empty_like_SparseBSC_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9559973Z   test_empty_like_SparseBSC_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9560208Z   test_empty_like_SparseBSC_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9560445Z   test_empty_like_SparseBSC_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9560682Z   test_empty_like_SparseBSC_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9560912Z   test_empty_like_SparseBSC_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9561124Z   test_empty_like_SparseBSC_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9561365Z   test_empty_like_SparseBSC_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9561605Z   test_empty_like_SparseBSC_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9561847Z   test_empty_like_SparseBSR_SparseBSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9562085Z   test_empty_like_SparseBSR_SparseBSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9562331Z   test_empty_like_SparseBSR_SparseBSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9562579Z   test_empty_like_SparseBSR_SparseBSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9562821Z   test_empty_like_SparseBSR_SparseBSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9563071Z   test_empty_like_SparseBSR_SparseBSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9563295Z   test_empty_like_SparseBSR_SparseBSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9563538Z   test_empty_like_SparseBSR_SparseBSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9563776Z   test_empty_like_SparseBSR_SparseBSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9564007Z   test_empty_like_SparseBSR_SparseBSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9564248Z   test_empty_like_SparseBSR_SparseBSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9564550Z   test_empty_like_SparseBSR_SparseBSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9564792Z   test_empty_like_SparseBSR_SparseBSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.011s)
2022-11-23T03:14:21.9565029Z   test_empty_like_SparseBSR_SparseBSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9565278Z   test_empty_like_SparseBSR_SparseBSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9565506Z   test_empty_like_SparseBSR_SparseBSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9565753Z   test_empty_like_SparseBSR_SparseBSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.011s)
2022-11-23T03:14:21.9565997Z   test_empty_like_SparseBSR_SparseBSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9566237Z   test_empty_like_SparseBSR_SparseBSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.011s)
2022-11-23T03:14:21.9566479Z   test_empty_like_SparseBSR_SparseBSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9566711Z   test_empty_like_SparseBSR_SparseBSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.011s)
2022-11-23T03:14:21.9566993Z   test_empty_like_SparseBSR_SparseBSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9567234Z   test_empty_like_SparseBSR_SparseBSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.011s)
2022-11-23T03:14:21.9567476Z   test_empty_like_SparseBSR_SparseBSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.012s)
2022-11-23T03:14:21.9567706Z   test_empty_like_SparseBSR_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9567940Z   test_empty_like_SparseBSR_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9568195Z   test_empty_like_SparseBSR_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9568440Z   test_empty_like_SparseBSR_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9568678Z   test_empty_like_SparseBSR_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9568925Z   test_empty_like_SparseBSR_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9569163Z   test_empty_like_SparseBSR_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9569400Z   test_empty_like_SparseBSR_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9569633Z   test_empty_like_SparseBSR_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9569851Z   test_empty_like_SparseBSR_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9570093Z   test_empty_like_SparseBSR_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9570332Z   test_empty_like_SparseBSR_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9570577Z   test_empty_like_SparseBSR_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9570823Z   test_empty_like_SparseBSR_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9571077Z   test_empty_like_SparseBSR_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9571368Z   test_empty_like_SparseBSR_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9571611Z   test_empty_like_SparseBSR_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9571834Z   test_empty_like_SparseBSR_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9572156Z   test_empty_like_SparseBSR_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9572399Z   test_empty_like_SparseBSR_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9572639Z   test_empty_like_SparseBSR_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9572873Z   test_empty_like_SparseBSR_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9573116Z   test_empty_like_SparseBSR_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9573357Z   test_empty_like_SparseBSR_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9573612Z   test_empty_like_SparseCSC_SparseBSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9573855Z   test_empty_like_SparseCSC_SparseBSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9574088Z   test_empty_like_SparseCSC_SparseBSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9574341Z   test_empty_like_SparseCSC_SparseBSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9574644Z   test_empty_like_SparseCSC_SparseBSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9574894Z   test_empty_like_SparseCSC_SparseBSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9575142Z   test_empty_like_SparseCSC_SparseBSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9575382Z   test_empty_like_SparseCSC_SparseBSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9575618Z   test_empty_like_SparseCSC_SparseBSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9575853Z   test_empty_like_SparseCSC_SparseBSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9576699Z   test_empty_like_SparseCSC_SparseBSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9576939Z   test_empty_like_SparseCSC_SparseBSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9577202Z   test_empty_like_SparseCSC_SparseBSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9577444Z   test_empty_like_SparseCSC_SparseBSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9577697Z   test_empty_like_SparseCSC_SparseBSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9577944Z   test_empty_like_SparseCSC_SparseBSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9578197Z   test_empty_like_SparseCSC_SparseBSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9578450Z   test_empty_like_SparseCSC_SparseBSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9578694Z   test_empty_like_SparseCSC_SparseBSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9578935Z   test_empty_like_SparseCSC_SparseBSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9579162Z   test_empty_like_SparseCSC_SparseBSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9579402Z   test_empty_like_SparseCSC_SparseBSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9579641Z   test_empty_like_SparseCSC_SparseBSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9579879Z   test_empty_like_SparseCSC_SparseBSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9580130Z   test_empty_like_SparseCSC_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9580553Z   test_empty_like_SparseCSC_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9580816Z   test_empty_like_SparseCSC_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9581067Z   test_empty_like_SparseCSC_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9581317Z   test_empty_like_SparseCSC_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9581538Z   test_empty_like_SparseCSC_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9581783Z   test_empty_like_SparseCSC_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9582025Z   test_empty_like_SparseCSC_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9582263Z   test_empty_like_SparseCSC_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9582502Z   test_empty_like_SparseCSC_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9582751Z   test_empty_like_SparseCSC_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9583106Z   test_empty_like_SparseCSC_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9583370Z   test_empty_like_SparseCSC_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9583612Z   test_empty_like_SparseCSC_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9583842Z   test_empty_like_SparseCSC_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9584092Z   test_empty_like_SparseCSC_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9584339Z   test_empty_like_SparseCSC_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9584594Z   test_empty_like_SparseCSC_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9584845Z   test_empty_like_SparseCSC_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9585088Z   test_empty_like_SparseCSC_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9585331Z   test_empty_like_SparseCSC_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9585571Z   test_empty_like_SparseCSC_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9585812Z   test_empty_like_SparseCSC_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9586029Z   test_empty_like_SparseCSC_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9586278Z   test_empty_like_SparseCSR_SparseBSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9586518Z   test_empty_like_SparseCSR_SparseBSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9586767Z   test_empty_like_SparseCSR_SparseBSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9587017Z   test_empty_like_SparseCSR_SparseBSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9587270Z   test_empty_like_SparseCSR_SparseBSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9587516Z   test_empty_like_SparseCSR_SparseBSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9587757Z   test_empty_like_SparseCSR_SparseBSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9587994Z   test_empty_like_SparseCSR_SparseBSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9588281Z   test_empty_like_SparseCSR_SparseBSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9588513Z   test_empty_like_SparseCSR_SparseBSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9588751Z   test_empty_like_SparseCSR_SparseBSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9588997Z   test_empty_like_SparseCSR_SparseBSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9589245Z   test_empty_like_SparseCSR_SparseBSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9589483Z   test_empty_like_SparseCSR_SparseBSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9589736Z   test_empty_like_SparseCSR_SparseBSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9589985Z   test_empty_like_SparseCSR_SparseBSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9590233Z   test_empty_like_SparseCSR_SparseBSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9590459Z   test_empty_like_SparseCSR_SparseBSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9590702Z   test_empty_like_SparseCSR_SparseBSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9590989Z   test_empty_like_SparseCSR_SparseBSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9591233Z   test_empty_like_SparseCSR_SparseBSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9591474Z   test_empty_like_SparseCSR_SparseBSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9591717Z   test_empty_like_SparseCSR_SparseBSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9591957Z   test_empty_like_SparseCSR_SparseBSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9592209Z   test_empty_like_SparseCSR_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9592425Z   test_empty_like_SparseCSR_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9592681Z   test_empty_like_SparseCSR_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9592930Z   test_empty_like_SparseCSR_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9593178Z   test_empty_like_SparseCSR_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9593428Z   test_empty_like_SparseCSR_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9593676Z   test_empty_like_SparseCSR_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9593915Z   test_empty_like_SparseCSR_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9594156Z   test_empty_like_SparseCSR_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9594401Z   test_empty_like_SparseCSR_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9594629Z   test_empty_like_SparseCSR_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9594872Z   test_empty_like_SparseCSR_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9595121Z   test_empty_like_SparseCSR_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9595361Z   test_empty_like_SparseCSR_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9595616Z   test_empty_like_SparseCSR_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9595872Z   test_empty_like_SparseCSR_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9596195Z   test_empty_like_SparseCSR_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9596442Z   test_empty_like_SparseCSR_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.008s)
2022-11-23T03:14:21.9596688Z   test_empty_like_SparseCSR_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9596906Z   test_empty_like_SparseCSR_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9597147Z   test_empty_like_SparseCSR_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9597384Z   test_empty_like_SparseCSR_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9597633Z   test_empty_like_SparseCSR_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9597882Z   test_empty_like_SparseCSR_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9598162Z   test_invalid_input_SparseBSC_target_sparse_compressed_tensor_cuda (__main__.TestSparseCompressedCUDA) ... ok (0.060s)
2022-11-23T03:14:21.9598448Z   test_invalid_input_SparseBSC_target_sparse_compressed_tensor_no_size_cuda (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9598814Z   test_invalid_input_SparseBSC_target_validate_sparse_compressed_tensor_args_cuda (__main__.TestSparseCompressedCUDA) ... ok (0.045s)
2022-11-23T03:14:21.9599100Z   test_invalid_input_SparseBSR_target_sparse_compressed_tensor_cuda (__main__.TestSparseCompressedCUDA) ... ok (0.057s)
2022-11-23T03:14:21.9599383Z   test_invalid_input_SparseBSR_target_sparse_compressed_tensor_no_size_cuda (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9599653Z   test_invalid_input_SparseBSR_target_validate_sparse_compressed_tensor_args_cuda (__main__.TestSparseCompressedCUDA) ... ok (0.046s)
2022-11-23T03:14:21.9599935Z   test_invalid_input_SparseCSC_target_sparse_compressed_tensor_cuda (__main__.TestSparseCompressedCUDA) ... ok (0.050s)
2022-11-23T03:14:21.9600216Z   test_invalid_input_SparseCSC_target_sparse_compressed_tensor_no_size_cuda (__main__.TestSparseCompressedCUDA) ... ok (0.035s)
2022-11-23T03:14:21.9600516Z   test_invalid_input_SparseCSC_target_validate_sparse_compressed_tensor_args_cuda (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9600790Z   test_invalid_input_SparseCSR_target_sparse_compressed_tensor_cuda (__main__.TestSparseCompressedCUDA) ... ok (0.050s)
2022-11-23T03:14:21.9601073Z   test_invalid_input_SparseCSR_target_sparse_compressed_tensor_no_size_cuda (__main__.TestSparseCompressedCUDA) ... ok (0.035s)
2022-11-23T03:14:21.9601362Z   test_invalid_input_SparseCSR_target_validate_sparse_compressed_tensor_args_cuda (__main__.TestSparseCompressedCUDA) ... ok (0.040s)
2022-11-23T03:14:21.9601619Z   test_layout_SparseBSC_cuda (__main__.TestSparseCompressedCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:14:21.9601872Z   test_layout_SparseBSR_cuda (__main__.TestSparseCompressedCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:14:21.9602096Z   test_layout_SparseCSC_cuda (__main__.TestSparseCompressedCUDA) ... skip: Only runs on cpu (0.001s)
2022-11-23T03:14:21.9602336Z   test_layout_SparseCSR_cuda (__main__.TestSparseCompressedCUDA) ... skip: Only runs on cpu (0.001s)
2022-11-23T03:14:21.9602550Z   test_print_SparseBSC_cuda (__main__.TestSparseCompressedCUDA) ... ok (0.667s)
2022-11-23T03:14:21.9602771Z   test_print_SparseBSR_cuda (__main__.TestSparseCompressedCUDA) ... ok (0.654s)
2022-11-23T03:14:21.9602989Z   test_print_SparseCSC_cuda (__main__.TestSparseCompressedCUDA) ... ok (0.188s)
2022-11-23T03:14:21.9603199Z   test_print_SparseCSR_cuda (__main__.TestSparseCompressedCUDA) ... ok (0.189s)
2022-11-23T03:14:21.9603485Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.040s)
2022-11-23T03:14:21.9603870Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.038s)
2022-11-23T03:14:21.9604158Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9604423Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.042s)
2022-11-23T03:14:21.9604704Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.040s)
2022-11-23T03:14:21.9604976Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.040s)
2022-11-23T03:14:21.9605245Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.040s)
2022-11-23T03:14:21.9605512Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9605793Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9606057Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9606401Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9606682Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9606958Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.040s)
2022-11-23T03:14:21.9607208Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9607497Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.040s)
2022-11-23T03:14:21.9607770Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9608045Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.040s)
2022-11-23T03:14:21.9608319Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9608591Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.039s)
2022-11-23T03:14:21.9608857Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9609125Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9609398Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.035s)
2022-11-23T03:14:21.9609671Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9609928Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9610206Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9610472Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9610756Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9611030Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9611389Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9611656Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9611923Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.029s)
2022-11-23T03:14:21.9612185Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9612450Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9612688Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9612957Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9613225Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9613555Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9613832Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9614110Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9614383Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.033s)
2022-11-23T03:14:21.9614665Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9614946Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9615211Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9615465Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9615734Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9616056Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9616335Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9616825Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9617139Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9617395Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9617676Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9617977Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9618234Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9618492Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9618924Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.035s)
2022-11-23T03:14:21.9619194Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9619469Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9619732Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9620007Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9620273Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9620550Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9620831Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9621111Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9621451Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9621738Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.035s)
2022-11-23T03:14:21.9622011Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9622286Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.035s)
2022-11-23T03:14:21.9622560Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9622829Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.034s)
2022-11-23T03:14:21.9623095Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9623365Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9623634Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9623911Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9624167Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.024s)
2022-11-23T03:14:21.9624450Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9624727Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.029s)
2022-11-23T03:14:21.9625006Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.029s)
2022-11-23T03:14:21.9625285Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9625557Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.025s)
2022-11-23T03:14:21.9625820Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.024s)
2022-11-23T03:14:21.9626161Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.024s)
2022-11-23T03:14:21.9626429Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.022s)
2022-11-23T03:14:21.9626708Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9626959Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.024s)
2022-11-23T03:14:21.9627238Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9627513Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.024s)
2022-11-23T03:14:21.9627795Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9628081Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9628359Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9628700Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9628982Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.025s)
2022-11-23T03:14:21.9629252Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9629521Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9629773Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.022s)
2022-11-23T03:14:21.9630046Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.024s)
2022-11-23T03:14:21.9630317Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9630601Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9630883Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9631175Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9631461Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9631751Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.042s)
2022-11-23T03:14:21.9632036Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.040s)
2022-11-23T03:14:21.9632315Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.040s)
2022-11-23T03:14:21.9632580Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9632864Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.038s)
2022-11-23T03:14:21.9633139Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9633487Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9633759Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.038s)
2022-11-23T03:14:21.9634045Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.040s)
2022-11-23T03:14:21.9634323Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9634611Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9634893Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9635167Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9635426Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.040s)
2022-11-23T03:14:21.9635771Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.040s)
2022-11-23T03:14:21.9636058Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9636336Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9636611Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9636892Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9637168Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9637448Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9637724Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9638012Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9638277Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9638560Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9638847Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9639119Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9639399Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9639677Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9639958Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9640316Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9640559Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9640863Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9641147Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9641414Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9641697Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9641976Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9642247Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.030s)
2022-11-23T03:14:21.9642526Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.029s)
2022-11-23T03:14:21.9642799Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9643123Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9643411Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9643689Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9643961Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9644231Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9644520Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9644814Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9645103Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.038s)
2022-11-23T03:14:21.9645391Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9645668Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9645943Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.035s)
2022-11-23T03:14:21.9646228Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9646500Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9646771Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9647031Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9647319Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.033s)
2022-11-23T03:14:21.9647648Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9648024Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9648311Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9648601Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9648880Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.035s)
2022-11-23T03:14:21.9649152Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.035s)
2022-11-23T03:14:21.9649464Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9649740Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9649996Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9650321Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.031s)
2022-11-23T03:14:21.9650604Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9650887Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9651262Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9651455Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9651825Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9652039Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9652324Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9652600Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9652879Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.025s)
2022-11-23T03:14:21.9653140Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9653417Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.024s)
2022-11-23T03:14:21.9653687Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.022s)
2022-11-23T03:14:21.9653967Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9654247Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9654539Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9654814Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.024s)
2022-11-23T03:14:21.9655180Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9655464Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.029s)
2022-11-23T03:14:21.9655751Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9656010Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9656597Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.025s)
2022-11-23T03:14:21.9656884Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9657151Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9657418Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.022s)
2022-11-23T03:14:21.9657699Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.024s)
2022-11-23T03:14:21.9658116Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.024s)
2022-11-23T03:14:21.9658463Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9658798Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9659137Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9659476Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9659791Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9660110Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9660440Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9660766Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9661091Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9661425Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.005s)
2022-11-23T03:14:21.9661755Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9662080Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9662415Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9662854Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9663197Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9663529Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9663860Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9664168Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9664503Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9664889Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9665217Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9665541Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.005s)
2022-11-23T03:14:21.9665864Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9666196Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9666526Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9666857Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9667187Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9667518Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9667851Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9668152Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9668487Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9668812Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9669137Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.005s)
2022-11-23T03:14:21.9669462Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9669850Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9670171Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9670501Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9670829Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9671172Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9671508Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9671883Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9672213Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9672527Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9672851Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9673174Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.005s)
2022-11-23T03:14:21.9673501Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9673828Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9674153Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9674468Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9674781Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9675102Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9675417Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9675729Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9676037Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9676329Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9676710Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.034s)
2022-11-23T03:14:21.9677016Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.033s)
2022-11-23T03:14:21.9677325Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9677633Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.033s)
2022-11-23T03:14:21.9677939Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9678253Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9678562Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.033s)
2022-11-23T03:14:21.9678933Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9679261Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9679571Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9679855Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9680174Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9680474Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.033s)
2022-11-23T03:14:21.9680782Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9681094Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9681398Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9681699Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.033s)
2022-11-23T03:14:21.9682017Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9682333Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9682647Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9682966Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9683276Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9683639Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9683953Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9684264Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.025s)
2022-11-23T03:14:21.9684563Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.024s)
2022-11-23T03:14:21.9684876Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9685196Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.025s)
2022-11-23T03:14:21.9685509Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.025s)
2022-11-23T03:14:21.9685918Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9686235Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.024s)
2022-11-23T03:14:21.9686552Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9686866Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9687157Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9687464Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9687766Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9688078Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9688378Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9688688Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9689011Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.024s)
2022-11-23T03:14:21.9689314Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9689663Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9689999Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9690344Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9690685Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9691072Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9691416Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9691749Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9692087Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9692428Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9692774Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.005s)
2022-11-23T03:14:21.9693162Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9693508Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9693850Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9694186Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9694536Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9694885Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9695224Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9695554Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9695896Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9696563Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9696926Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9697249Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.005s)
2022-11-23T03:14:21.9697580Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9697921Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9698411Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9698751Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9699094Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9699436Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9699775Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9700112Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9700502Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9700849Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9701178Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.005s)
2022-11-23T03:14:21.9701508Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9701846Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9702187Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9702526Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9702860Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9703212Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9703563Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9703905Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9704243Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9704581Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9704899Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9705307Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.005s)
2022-11-23T03:14:21.9705656Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9705993Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9706326Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... skip: nothing to test (0.004s)
2022-11-23T03:14:21.9706648Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9706972Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9707356Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9707689Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9708011Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9708326Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9708647Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9708965Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.033s)
2022-11-23T03:14:21.9709269Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9709592Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9709907Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.033s)
2022-11-23T03:14:21.9710224Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.033s)
2022-11-23T03:14:21.9710547Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9710866Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9711191Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9711514Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.037s)
2022-11-23T03:14:21.9711835Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.038s)
2022-11-23T03:14:21.9712215Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9712534Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.036s)
2022-11-23T03:14:21.9712875Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.033s)
2022-11-23T03:14:21.9713190Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9713504Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9713819Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.032s)
2022-11-23T03:14:21.9714132Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.034s)
2022-11-23T03:14:21.9714503Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9714830Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9715150Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9715472Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9715795Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9716168Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9716492Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9716786Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9717100Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.024s)
2022-11-23T03:14:21.9717421Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9717736Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9718054Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.024s)
2022-11-23T03:14:21.9718371Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9718683Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.024s)
2022-11-23T03:14:21.9719003Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9719402Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9719724Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9720042Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9720361Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9720656Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9720972Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.025s)
2022-11-23T03:14:21.9721285Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.023s)
2022-11-23T03:14:21.9721650Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.025s)
2022-11-23T03:14:21.9721974Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.024s)
2022-11-23T03:14:21.9722201Z   test_to_dtype_SparseBSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9722422Z   test_to_dtype_SparseBSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.042s)
2022-11-23T03:14:21.9722654Z   test_to_dtype_SparseBSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.043s)
2022-11-23T03:14:21.9722887Z   test_to_dtype_SparseBSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.043s)
2022-11-23T03:14:21.9723114Z   test_to_dtype_SparseBSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.043s)
2022-11-23T03:14:21.9723324Z   test_to_dtype_SparseBSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.042s)
2022-11-23T03:14:21.9723541Z   test_to_dtype_SparseBSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.042s)
2022-11-23T03:14:21.9723760Z   test_to_dtype_SparseBSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9723982Z   test_to_dtype_SparseBSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.043s)
2022-11-23T03:14:21.9724198Z   test_to_dtype_SparseBSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.042s)
2022-11-23T03:14:21.9724418Z   test_to_dtype_SparseBSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9724646Z   test_to_dtype_SparseBSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9724874Z   test_to_dtype_SparseBSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.042s)
2022-11-23T03:14:21.9725070Z   test_to_dtype_SparseBSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9725301Z   test_to_dtype_SparseBSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9725525Z   test_to_dtype_SparseBSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9725745Z   test_to_dtype_SparseBSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9725967Z   test_to_dtype_SparseBSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9726183Z   test_to_dtype_SparseBSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9726399Z   test_to_dtype_SparseBSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.042s)
2022-11-23T03:14:21.9726689Z   test_to_dtype_SparseBSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.041s)
2022-11-23T03:14:21.9726906Z   test_to_dtype_SparseBSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.042s)
2022-11-23T03:14:21.9727102Z   test_to_dtype_SparseBSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.042s)
2022-11-23T03:14:21.9727321Z   test_to_dtype_SparseBSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.042s)
2022-11-23T03:14:21.9727548Z   test_to_dtype_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9727766Z   test_to_dtype_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9727994Z   test_to_dtype_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9728218Z   test_to_dtype_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9728441Z   test_to_dtype_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9728663Z   test_to_dtype_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9728868Z   test_to_dtype_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9729138Z   test_to_dtype_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9729361Z   test_to_dtype_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9729577Z   test_to_dtype_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9729794Z   test_to_dtype_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.028s)
2022-11-23T03:14:21.9730010Z   test_to_dtype_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9730275Z   test_to_dtype_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9730492Z   test_to_dtype_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9730699Z   test_to_dtype_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9730930Z   test_to_dtype_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9731156Z   test_to_dtype_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9731377Z   test_to_dtype_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.027s)
2022-11-23T03:14:21.9731597Z   test_to_dtype_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9731820Z   test_to_dtype_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9732031Z   test_to_dtype_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9732251Z   test_to_dtype_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9732473Z   test_to_dtype_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9732677Z   test_to_dtype_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.026s)
2022-11-23T03:14:21.9732912Z   test_validate_SparseBSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.015s)
2022-11-23T03:14:21.9733137Z   test_validate_SparseBSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9733395Z   test_validate_SparseBSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.015s)
2022-11-23T03:14:21.9733621Z   test_validate_SparseBSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9733848Z   test_validate_SparseBSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.015s)
2022-11-23T03:14:21.9734067Z   test_validate_SparseBSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9734359Z   test_validate_SparseBSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9734559Z   test_validate_SparseBSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9734780Z   test_validate_SparseBSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9735002Z   test_validate_SparseBSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.015s)
2022-11-23T03:14:21.9735221Z   test_validate_SparseBSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.015s)
2022-11-23T03:14:21.9735439Z   test_validate_SparseBSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9735667Z   test_validate_SparseBSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9735890Z   test_validate_SparseBSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9736461Z   test_validate_SparseBSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9736737Z   test_validate_SparseBSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.015s)
2022-11-23T03:14:21.9736916Z   test_validate_SparseBSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9737309Z   test_validate_SparseBSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9737541Z   test_validate_SparseBSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9737758Z   test_validate_SparseBSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9737974Z   test_validate_SparseBSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9738187Z   test_validate_SparseBSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9738404Z   test_validate_SparseBSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9738628Z   test_validate_SparseBSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.014s)
2022-11-23T03:14:21.9738834Z   test_validate_SparseCSC_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9739052Z   test_validate_SparseCSC_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9739289Z   test_validate_SparseCSC_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9739523Z   test_validate_SparseCSC_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9739746Z   test_validate_SparseCSC_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9739967Z   test_validate_SparseCSC_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9740185Z   test_validate_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9740404Z   test_validate_SparseCSC_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9740626Z   test_validate_SparseCSC_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9740824Z   test_validate_SparseCSC_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9741041Z   test_validate_SparseCSC_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9741264Z   test_validate_SparseCSC_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9741492Z   test_validate_SparseCSR_cuda_bfloat16 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9741714Z   test_validate_SparseCSR_cuda_bool (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9741948Z   test_validate_SparseCSR_cuda_complex128 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9742230Z   test_validate_SparseCSR_cuda_complex64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9742557Z   test_validate_SparseCSR_cuda_float16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9742763Z   test_validate_SparseCSR_cuda_float32 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9742987Z   test_validate_SparseCSR_cuda_float64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9743208Z   test_validate_SparseCSR_cuda_int16 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9743427Z   test_validate_SparseCSR_cuda_int32 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9743645Z   test_validate_SparseCSR_cuda_int64 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9743864Z   test_validate_SparseCSR_cuda_int8 (__main__.TestSparseCompressedCUDA) ... ok (0.007s)
2022-11-23T03:14:21.9744088Z   test_validate_SparseCSR_cuda_uint8 (__main__.TestSparseCompressedCUDA) ... ok (0.006s)
2022-11-23T03:14:21.9744124Z 
2022-11-23T03:14:21.9744542Z ----------------------------------------------------------------------
2022-11-23T03:14:21.9744669Z Ran 4374 tests in 249.887s
2022-11-23T03:14:21.9744689Z 
2022-11-23T03:14:21.9744781Z OK (skipped=515)
2022-11-23T03:14:21.9744800Z 
2022-11-23T03:14:21.9744926Z Generating XML reports...
2022-11-23T03:14:21.9745362Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRCUDA-20221123031009.xml
2022-11-23T03:14:21.9745833Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRSampler-20221123031009.xml
2022-11-23T03:14:21.9746261Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCompressedCUDA-20221123031009.xml
2022-11-23T03:14:21.9746284Z 
2022-11-23T03:14:21.9746922Z ##[endgroup]
2022-11-23T03:14:21.9747303Z FINISHED PRINTING LOG FILE of test_sparse_csr (/var/lib/jenkins/workspace/test/test-reports/test_sparse_csr_7qnwjiy3)
2022-11-23T03:14:21.9747322Z 
2022-11-23T03:14:21.9747552Z Running test_fake_tensor ... [2022-11-23 03:14:21.828312]
2022-11-23T03:14:21.9747988Z Executing ['/opt/conda/bin/python', '-bb', 'test_fake_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 03:14:21.828652]
2022-11-23T03:14:33.1248323Z 
2022-11-23T03:14:33.1249542Z Expand the folded group to see the log file of test_fake_tensor
2022-11-23T03:14:33.1251071Z ##[group]PRINTING LOG FILE of test_fake_tensor (/var/lib/jenkins/workspace/test/test-reports/test_fake_tensor_3xpk78oz)
2022-11-23T03:14:33.1251782Z 
2022-11-23T03:14:33.1251995Z Running tests...
2022-11-23T03:14:33.1253142Z ----------------------------------------------------------------------
2022-11-23T03:14:33.1253669Z Test results will be stored in test-reports/python-unittest/test_fake_tensor
2022-11-23T03:14:33.1254095Z   test_aliased_const_write (__main__.FakeTensorConstHandling) ... ok (1.959s)
2022-11-23T03:14:33.1254677Z   test_constant_invalidation (__main__.FakeTensorConstHandling) ... ok (0.003s)
2022-11-23T03:14:33.1255549Z   test_fake_tensor_batch_norm_cpu (__main__.FakeTensorConstHandling) ... ok (0.032s)
2022-11-23T03:14:33.1257084Z   test_fake_tensor_in_intlist_repro (__main__.FakeTensorConstHandling) ... ok (0.005s)
2022-11-23T03:14:33.1257802Z   test_inplace_add (__main__.FakeTensorConstHandling) ... ok (0.003s)
2022-11-23T03:14:33.1258567Z   test_inplace_view_invalidation (__main__.FakeTensorConstHandling) ... ok (0.003s)
2022-11-23T03:14:33.1259327Z   test_shared_storage_invalidation (__main__.FakeTensorConstHandling) ... ok (0.003s)
2022-11-23T03:14:33.1261398Z   test_shared_storages (__main__.FakeTensorConstHandling) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:14:33.1262724Z   warnings.warn(message, UserWarning)
2022-11-23T03:14:33.1263309Z ok (0.003s)
2022-11-23T03:14:33.1263860Z   test_simple (__main__.FakeTensorConstHandling) ... ok (0.002s)
2022-11-23T03:14:33.1265010Z   test_dead_key (__main__.FakeTensorConverterTest) ... ok (0.001s)
2022-11-23T03:14:33.1265800Z   test_dead_weak_ref (__main__.FakeTensorConverterTest) ... ok (0.003s)
2022-11-23T03:14:33.1266506Z   test_memoized_conversion_from_meta (__main__.FakeTensorConverterTest) ... ok (0.001s)
2022-11-23T03:14:33.1267360Z   test_memoized_conversion_to_meta (__main__.FakeTensorConverterTest) ... ok (0.001s)
2022-11-23T03:14:33.1268280Z   test_no_active_mode (__main__.FakeTensorConverterTest) ... ok (0.004s)
2022-11-23T03:14:33.1269024Z   test_no_ref_cycle (__main__.FakeTensorConverterTest) ... ok (0.002s)
2022-11-23T03:14:33.1269801Z   test_separate_mode_error (__main__.FakeTensorConverterTest) ... ok (0.003s)
2022-11-23T03:14:33.1271910Z   test_separate_tensor_storages_non_view (__main__.FakeTensorConverterTest) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:14:33.1273184Z   warnings.warn(message, UserWarning)
2022-11-23T03:14:33.1273703Z ok (0.002s)
2022-11-23T03:14:33.1274371Z   test_separate_tensor_storages_view (__main__.FakeTensorConverterTest) ... ok (0.002s)
2022-11-23T03:14:33.1275109Z   test_like_ops (__main__.FakeTensorOperatorInvariants) ... ok (0.022s)
2022-11-23T03:14:33.1276223Z   test_non_kwarg_only_device (__main__.FakeTensorOperatorInvariants) ... ok (0.093s)
2022-11-23T03:14:33.1277124Z   test_sparse_new (__main__.FakeTensorOperatorInvariants) ... expected failure (0.004s)
2022-11-23T03:14:33.1278142Z   test_tensor_constructors_all_have_kwarg_device (__main__.FakeTensorOperatorInvariants) ... ok (0.194s)
2022-11-23T03:14:33.1280270Z   test_fake_tensor_prop_on_nn_module (__main__.FakeTensorPropTest) ... /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py:564: UserWarning: Was not able to add assertion to guarantee correct input value to specialized function. It is up to the user to make sure that your inputs match the inputs you specialized the function with.
2022-11-23T03:14:33.1281700Z   warnings.warn(
2022-11-23T03:14:33.1282057Z ok (0.034s)
2022-11-23T03:14:33.1282629Z   test_basic (__main__.FakeTensorTest) ... ok (0.003s)
2022-11-23T03:14:33.1283391Z   test_binary_op_type_promotion (__main__.FakeTensorTest) ... ok (0.004s)
2022-11-23T03:14:33.1284210Z   test_constructor (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T03:14:33.1284845Z   test_cpu_fallback (__main__.FakeTensorTest) ... ok (0.028s)
2022-11-23T03:14:33.1285544Z   test_cudnn_rnn (__main__.FakeTensorTest) ... ok (4.391s)
2022-11-23T03:14:33.1286281Z   test_data_dependent_operator (__main__.FakeTensorTest) ... ok (0.003s)
2022-11-23T03:14:33.1288229Z   test_deepcopy (__main__.FakeTensorTest) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:14:33.1289491Z   warnings.warn(message, UserWarning)
2022-11-23T03:14:33.1290004Z ok (0.008s)
2022-11-23T03:14:33.1290624Z   test_fake_dispatch_keys (__main__.FakeTensorTest) ... ok (0.003s)
2022-11-23T03:14:33.1291336Z   test_fake_grad_copy (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T03:14:33.1292073Z   test_fake_mode_error (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T03:14:33.1292857Z   test_fallback_memory_prop (__main__.FakeTensorTest) ... ok (0.010s)
2022-11-23T03:14:33.1293465Z   test_from_numpy (__main__.FakeTensorTest) ... ok (0.004s)
2022-11-23T03:14:33.1294235Z   test_index_cuda_with_cpu (__main__.FakeTensorTest) ... ok (0.003s)
2022-11-23T03:14:33.1294883Z   test_like_constructor (__main__.FakeTensorTest) ... ok (0.003s)
2022-11-23T03:14:33.1295557Z   test_mode (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T03:14:33.1296766Z   test_nan_to_num (__main__.FakeTensorTest) ... ok (0.014s)
2022-11-23T03:14:33.1297735Z   test_new (__main__.FakeTensorTest) ... ok (0.007s)
2022-11-23T03:14:33.1298423Z   test_non_kwarg_device (__main__.FakeTensorTest) ... ok (0.004s)
2022-11-23T03:14:33.1299236Z   test_non_parameter_grad (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T03:14:33.1299898Z   test_normalize_device (__main__.FakeTensorTest) ... ok (0.003s)
2022-11-23T03:14:33.1300703Z   test_parameter_instantiation (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T03:14:33.1301453Z   test_print_in_fake_mode (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T03:14:33.1302126Z   test_randperm (__main__.FakeTensorTest) ... ok (0.003s)
2022-11-23T03:14:33.1302969Z   test_recursive_invocation (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T03:14:33.1303665Z   test_scalar_inputs (__main__.FakeTensorTest) ... ok (0.003s)
2022-11-23T03:14:33.1304335Z   test_setitem (__main__.FakeTensorTest) ... ok (0.005s)
2022-11-23T03:14:33.1305056Z   test_shape_take_not_device (__main__.FakeTensorTest) ... ok (0.003s)
2022-11-23T03:14:33.1305723Z   test_throw (__main__.FakeTensorTest) ... ok (0.005s)
2022-11-23T03:14:33.1306455Z   test_type_as (__main__.FakeTensorTest) ... ok (0.005s)
2022-11-23T03:14:33.1307062Z   test_zero_dim (__main__.FakeTensorTest) ... ok (0.003s)
2022-11-23T03:14:33.1307478Z 
2022-11-23T03:14:33.1308144Z ----------------------------------------------------------------------
2022-11-23T03:14:33.1308977Z Ran 53 tests in 7.864s
2022-11-23T03:14:33.1309225Z 
2022-11-23T03:14:33.1309440Z OK (expected failures=1)
2022-11-23T03:14:33.1309761Z 
2022-11-23T03:14:33.1309997Z Generating XML reports...
2022-11-23T03:14:33.1311150Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConstHandling-20221123031424.xml
2022-11-23T03:14:33.1312563Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConverterTest-20221123031424.xml
2022-11-23T03:14:33.1314159Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorOperatorInvariants-20221123031424.xml
2022-11-23T03:14:33.1315652Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorPropTest-20221123031424.xml
2022-11-23T03:14:33.1317013Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorTest-20221123031424.xml
2022-11-23T03:14:33.1317614Z 
2022-11-23T03:14:33.1318417Z ##[endgroup]
2022-11-23T03:14:33.1319464Z FINISHED PRINTING LOG FILE of test_fake_tensor (/var/lib/jenkins/workspace/test/test-reports/test_fake_tensor_3xpk78oz)
2022-11-23T03:14:33.1320069Z 
2022-11-23T03:14:33.1320493Z Running test_nn ... [2022-11-23 03:14:33.124737]
2022-11-23T03:14:33.1321677Z Executing ['/opt/conda/bin/python', '-bb', 'test_nn.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 03:14:33.125131]
2022-11-23T03:19:18.8424097Z 
2022-11-23T03:19:18.8427861Z Expand the folded group to see the log file of test_nn
2022-11-23T03:19:18.8429217Z ##[group]PRINTING LOG FILE of test_nn (/var/lib/jenkins/workspace/test/test-reports/test_nn_pe1bbwb1)
2022-11-23T03:19:18.8429793Z 
2022-11-23T03:19:18.8429923Z Running tests...
2022-11-23T03:19:18.8430816Z ----------------------------------------------------------------------
2022-11-23T03:19:18.8436714Z Test results will be stored in test-reports/python-unittest/test_nn
2022-11-23T03:19:18.8437361Z   test_add_relu (__main__.TestAddRelu) ... ok (0.003s)
2022-11-23T03:19:18.8437758Z   test_add_relu_broadcasting (__main__.TestAddRelu) ... ok (0.001s)
2022-11-23T03:19:18.8438129Z   test_constant_pad_nd (__main__.TestConstantPadNd) ... ok (0.001s)
2022-11-23T03:19:18.8442512Z   test_preserves_memory_format (__main__.TestConstantPadNd) ... ok (0.001s)
2022-11-23T03:19:18.8443357Z   test_pickle_softsign (__main__.TestFunctionalPickle) ... ok (0.001s)
2022-11-23T03:19:18.8444120Z   test_fuse_module_eval_numerics (__main__.TestFusionEval) ... ok (0.433s)
2022-11-23T03:19:18.8444685Z   test_fuse_conv_bn_requires_grad (__main__.TestFusionUtils) ... ok (0.003s)
2022-11-23T03:19:18.8446097Z   test_fuse_linear_bn_requires_grad (__main__.TestFusionUtils) ... ok (0.002s)
2022-11-23T03:19:18.8447867Z   test_global_and_local_hooks_order (__main__.TestModuleGlobalHooks) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1319: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior.
2022-11-23T03:19:18.8449428Z   warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes "
2022-11-23T03:19:18.8450032Z ok (0.003s)
2022-11-23T03:19:18.8450549Z   test_module_backward_global_hook_writeable (__main__.TestModuleGlobalHooks) ... ok (0.002s)
2022-11-23T03:19:18.8451150Z   test_module_forward_forward_hook_removable (__main__.TestModuleGlobalHooks)
2022-11-23T03:19:18.8452038Z This test is to test when multiple forward hook functions can be registered ... ok (0.003s)
2022-11-23T03:19:18.8452507Z   test_module_forward_preforward_hook_removable (__main__.TestModuleGlobalHooks)
2022-11-23T03:19:18.8453409Z This test is to test when multiple pre-forward hook functions can be ... ok (0.002s)
2022-11-23T03:19:18.8454212Z   test_module_global_forward_preforward_hook_writeable (__main__.TestModuleGlobalHooks) ... ok (0.003s)
2022-11-23T03:19:18.8478454Z   test_module_global_hook_invalid_outputs (__main__.TestModuleGlobalHooks) ... ok (0.003s)
2022-11-23T03:19:18.8479677Z   test_module_global_hooks (__main__.TestModuleGlobalHooks) ... ok (0.016s)
2022-11-23T03:19:18.8481611Z   test_AdaptiveAvgPool1d (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8482396Z   test_AdaptiveAvgPool1d_cuda (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8483094Z   test_AdaptiveAvgPool1d_no_batch_dim (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8483758Z   test_AdaptiveAvgPool1d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8484462Z   test_AdaptiveAvgPool1d_one_output (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8485183Z   test_AdaptiveAvgPool1d_one_output_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8485898Z   test_AdaptiveAvgPool2d_no_batch_dim (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8486560Z   test_AdaptiveAvgPool2d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8487269Z   test_AdaptiveAvgPool2d_single (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8487985Z   test_AdaptiveAvgPool2d_single_1x1output (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8488732Z   test_AdaptiveAvgPool2d_single_1x1output_cuda (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8489474Z   test_AdaptiveAvgPool2d_single_cuda (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8490167Z   test_AdaptiveAvgPool2d_tuple (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8490865Z   test_AdaptiveAvgPool2d_tuple_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8491509Z   test_AdaptiveAvgPool2d_tuple_none (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8492251Z   test_AdaptiveAvgPool2d_tuple_none_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8493005Z   test_AdaptiveAvgPool3d_last_dim (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8493718Z   test_AdaptiveAvgPool3d_last_dim_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8494479Z   test_AdaptiveAvgPool3d_no_batch_dim (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8495171Z   test_AdaptiveAvgPool3d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8495843Z   test_AdaptiveAvgPool3d_single (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8496934Z   test_AdaptiveAvgPool3d_single_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8497619Z   test_AdaptiveAvgPool3d_tuple (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8498283Z   test_AdaptiveAvgPool3d_tuple_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8498919Z   test_AdaptiveAvgPool3d_tuple_none (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8499979Z   test_AdaptiveAvgPool3d_tuple_none_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8500640Z   test_AdaptiveLogSoftmax (__main__.TestNN) ... ok (0.633s)
2022-11-23T03:19:18.8501399Z   test_AdaptiveLogSoftmax_cuda (__main__.TestNN) ... ok (0.202s)
2022-11-23T03:19:18.8502029Z   test_AdaptiveMaxPool1d (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8502788Z   test_AdaptiveMaxPool1d_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8503562Z   test_AdaptiveMaxPool1d_no_batch_dim (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8504016Z   test_AdaptiveMaxPool1d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8504431Z   test_AdaptiveMaxPool2d_no_batch_dim (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8504833Z   test_AdaptiveMaxPool2d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8505227Z   test_AdaptiveMaxPool2d_single (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8505601Z   test_AdaptiveMaxPool2d_single_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8505993Z   test_AdaptiveMaxPool2d_tuple (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8506366Z   test_AdaptiveMaxPool2d_tuple_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8506738Z   test_AdaptiveMaxPool2d_tuple_none (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8507269Z   test_AdaptiveMaxPool2d_tuple_none_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8507685Z   test_AdaptiveMaxPool3d_no_batch_dim (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8508086Z   test_AdaptiveMaxPool3d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8508457Z   test_AdaptiveMaxPool3d_single (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8508836Z   test_AdaptiveMaxPool3d_single_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8509230Z   test_AdaptiveMaxPool3d_single_nonatomic (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8509626Z   test_AdaptiveMaxPool3d_single_nonatomic_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8510037Z   test_AdaptiveMaxPool3d_tuple (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8510419Z   test_AdaptiveMaxPool3d_tuple_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8510799Z   test_AdaptiveMaxPool3d_tuple_nonatomic (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8511216Z   test_AdaptiveMaxPool3d_tuple_nonatomic_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8511619Z   test_AdaptiveMaxPool3d_tuple_none (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8512015Z   test_AdaptiveMaxPool3d_tuple_none_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8512357Z   test_AvgPool1d (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8512685Z   test_AvgPool1d_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8513037Z   test_AvgPool1d_no_batch_dim (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8513385Z   test_AvgPool1d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8513748Z   test_AvgPool1d_stride (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8514103Z   test_AvgPool1d_stride_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8514439Z   test_AvgPool1d_stride_pad (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8514800Z   test_AvgPool1d_stride_pad_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8515141Z   test_AvgPool2d (__main__.TestNN) ... ok (0.035s)
2022-11-23T03:19:18.8515471Z   test_AvgPool2d_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8515800Z   test_AvgPool2d_divisor (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8516150Z   test_AvgPool2d_divisor_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8516511Z   test_AvgPool2d_divisor_stride (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8516878Z   test_AvgPool2d_divisor_stride_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8517262Z   test_AvgPool2d_divisor_stride_pad (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8517732Z   test_AvgPool2d_divisor_stride_pad_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8518145Z   test_AvgPool2d_divisor_stride_pad_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.8518605Z   test_AvgPool2d_divisor_stride_pad_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T03:19:18.8519069Z   test_AvgPool2d_divisor_stride_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.8519533Z   test_AvgPool2d_divisor_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T03:19:18.8519957Z   test_AvgPool2d_divisor_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.8520405Z   test_AvgPool2d_divisor_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T03:19:18.8520816Z   test_AvgPool2d_no_batch_dim (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8521185Z   test_AvgPool2d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8521528Z   test_AvgPool2d_stride (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8521885Z   test_AvgPool2d_stride_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8522288Z   test_AvgPool2d_stride_pad (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8522638Z   test_AvgPool2d_stride_pad_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8523045Z   test_AvgPool3d (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8523380Z   test_AvgPool3d_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8523711Z   test_AvgPool3d_divisor (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8524063Z   test_AvgPool3d_divisor_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8524416Z   test_AvgPool3d_divisor_stride (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8524810Z   test_AvgPool3d_divisor_stride1_pad0_gpu_input (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8525218Z   test_AvgPool3d_divisor_stride1_pad0_gpu_input_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8525671Z   test_AvgPool3d_divisor_stride1_pad0_gpu_input_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8526166Z   test_AvgPool3d_divisor_stride1_pad0_gpu_input_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8526613Z   test_AvgPool3d_divisor_stride_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8527007Z   test_AvgPool3d_divisor_stride_pad (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8527390Z   test_AvgPool3d_divisor_stride_pad_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8527807Z   test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8528230Z   test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8528714Z   test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_with_long_tensor (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8529243Z   test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8529741Z   test_AvgPool3d_divisor_stride_pad_gpu_general_output (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8530163Z   test_AvgPool3d_divisor_stride_pad_gpu_general_output_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8530641Z   test_AvgPool3d_divisor_stride_pad_gpu_general_output_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8531167Z   test_AvgPool3d_divisor_stride_pad_gpu_general_output_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8531659Z   test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8532106Z   test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8532584Z   test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_with_long_tensor (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8533208Z   test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T03:19:18.8533675Z   test_AvgPool3d_divisor_stride_pad_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8534169Z   test_AvgPool3d_divisor_stride_pad_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8534632Z   test_AvgPool3d_divisor_stride_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.8535094Z   test_AvgPool3d_divisor_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8535517Z   test_AvgPool3d_divisor_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8535967Z   test_AvgPool3d_divisor_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8536949Z   test_AvgPool3d_no_batch_dim (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8537328Z   test_AvgPool3d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8537668Z   test_AvgPool3d_stride (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8538070Z   test_AvgPool3d_stride1_pad0_gpu_input (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8538592Z   test_AvgPool3d_stride1_pad0_gpu_input_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8538966Z   test_AvgPool3d_stride_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8539321Z   test_AvgPool3d_stride_pad (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8539685Z   test_AvgPool3d_stride_pad_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8540063Z   test_AvgPool3d_stride_pad_gpu_fixedkw_output (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8540482Z   test_AvgPool3d_stride_pad_gpu_fixedkw_output_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8540901Z   test_AvgPool3d_stride_pad_gpu_general_output (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8541330Z   test_AvgPool3d_stride_pad_gpu_general_output_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8541737Z   test_AvgPool3d_stride_pad_gpu_input_nooverlap (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8542161Z   test_AvgPool3d_stride_pad_gpu_input_nooverlap_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8542527Z   test_BCELoss (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8542848Z   test_BCELoss_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8543199Z   test_BCELoss_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8543546Z   test_BCELoss_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8543870Z   test_BCELoss_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8544218Z   test_BCELoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8544598Z   test_BCELoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8544996Z   test_BCELoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8545373Z   test_BCELoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8545744Z   test_BCELoss_no_batch_dim_none (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8546121Z   test_BCELoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8546492Z   test_BCELoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8546882Z   test_BCELoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8547252Z   test_BCELoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8547626Z   test_BCELoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8547994Z   test_BCELoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8548378Z   test_BCELoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8548863Z   test_BCELoss_no_reduce (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8549195Z   test_BCELoss_no_reduce_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8549551Z   test_BCELoss_no_reduce_scalar (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8549915Z   test_BCELoss_no_reduce_scalar_cuda (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8550291Z   test_BCELoss_scalar_weights (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8550656Z   test_BCELoss_scalar_weights_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8551046Z   test_BCELoss_scalar_weights_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8551436Z   test_BCELoss_scalar_weights_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8551805Z   test_BCELoss_scalar_weights_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8552169Z   test_BCELoss_weights (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8552530Z   test_BCELoss_weights_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8552888Z   test_BCELoss_weights_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8553260Z   test_BCELoss_weights_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8553629Z   test_BCELoss_weights_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8554068Z   test_BCELoss_weights_no_reduce (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8554433Z   test_BCELoss_weights_no_reduce_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8554815Z   test_BCELoss_weights_no_reduce_scalar (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8555206Z   test_BCELoss_weights_no_reduce_scalar_cuda (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8555566Z   test_BCEWithLogitsLoss (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8555938Z   test_BCEWithLogitsLoss_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8556329Z   test_BCEWithLogitsLoss_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8556722Z   test_BCEWithLogitsLoss_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8557682Z   test_BCEWithLogitsLoss_legacy_enum (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.
2022-11-23T03:19:18.8558240Z   warnings.warn(warning.format(ret))
2022-11-23T03:19:18.8558883Z /opt/conda/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.
2022-11-23T03:19:18.8559350Z   warnings.warn(warning.format(ret))
2022-11-23T03:19:18.8559621Z ok (0.013s)
2022-11-23T03:19:18.8559946Z   test_BCEWithLogitsLoss_legacy_enum_cuda (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8560358Z   test_BCEWithLogitsLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8560763Z   test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8561208Z   test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8561647Z   test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8562045Z   test_BCEWithLogitsLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8562474Z   test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8562907Z   test_BCEWithLogitsLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8563333Z   test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8563721Z   test_BCEWithLogitsLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8564132Z   test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8564560Z   test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8565047Z   test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8565456Z   test_BCEWithLogitsLoss_no_reduce (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8565851Z   test_BCEWithLogitsLoss_no_reduce_cuda (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8566257Z   test_BCEWithLogitsLoss_no_reduce_scalar (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8566644Z   test_BCEWithLogitsLoss_no_reduce_scalar_cuda (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8567052Z   test_BCEWithLogitsLoss_scalar_weights (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8567470Z   test_BCEWithLogitsLoss_scalar_weights_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8567883Z   test_BCEWithLogitsLoss_scalar_weights_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8568320Z   test_BCEWithLogitsLoss_scalar_weights_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8568728Z   test_BCEWithLogitsLoss_weights (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8569126Z   test_BCEWithLogitsLoss_weights_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8569520Z   test_BCEWithLogitsLoss_weights_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8569926Z   test_BCEWithLogitsLoss_weights_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8570380Z   test_BatchNorm1d_3d_input (__main__.TestNN) ... ok (0.307s)
2022-11-23T03:19:18.8570744Z   test_BatchNorm1d_3d_input_cuda (__main__.TestNN) ... ok (0.029s)
2022-11-23T03:19:18.8571112Z   test_BatchNorm1d_3d_input_eval (__main__.TestNN) ... ok (0.037s)
2022-11-23T03:19:18.8571498Z   test_BatchNorm1d_3d_input_eval_cuda (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8571863Z   test_BatchNorm1d_3d_input_not_affine (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.8572261Z   test_BatchNorm1d_3d_input_not_affine_cuda (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8572675Z   test_BatchNorm1d_3d_input_not_affine_eval (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.8573078Z   test_BatchNorm1d_3d_input_not_affine_eval_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8573438Z   test_BatchNorm1d_affine (__main__.TestNN) ... ok (0.039s)
2022-11-23T03:19:18.8573798Z   test_BatchNorm1d_affine_cuda (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.8574162Z   test_BatchNorm1d_affine_eval (__main__.TestNN) ... ok (0.037s)
2022-11-23T03:19:18.8574519Z   test_BatchNorm1d_affine_eval_cuda (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8574912Z   test_BatchNorm1d_affine_simple_average (__main__.TestNN) ... ok (0.039s)
2022-11-23T03:19:18.8575318Z   test_BatchNorm1d_affine_simple_average_cuda (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.8575759Z   test_BatchNorm1d_affine_simple_average_eval (__main__.TestNN) ... ok (0.036s)
2022-11-23T03:19:18.8576762Z   test_BatchNorm1d_affine_simple_average_eval_cuda (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.8577211Z   test_BatchNorm1d_not_affine (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8577579Z   test_BatchNorm1d_not_affine_cuda (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8577931Z   test_BatchNorm1d_not_affine_eval (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8578312Z   test_BatchNorm1d_not_affine_eval_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8578705Z   test_BatchNorm1d_not_tracking_stats (__main__.TestNN) ... ok (0.036s)
2022-11-23T03:19:18.8579097Z   test_BatchNorm1d_not_tracking_stats_cuda (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.8579471Z   test_BatchNorm1d_not_tracking_stats_eval (__main__.TestNN) ... ok (0.035s)
2022-11-23T03:19:18.8579875Z   test_BatchNorm1d_not_tracking_stats_eval_cuda (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8580252Z   test_BatchNorm1d_zero_batch (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8580603Z   test_BatchNorm1d_zero_batch_cuda (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8581153Z   test_BatchNorm1d_zero_batch_eval (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8581536Z   test_BatchNorm1d_zero_batch_eval_cuda (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8581872Z   test_BatchNorm2d (__main__.TestNN) ... ok (0.038s)
2022-11-23T03:19:18.8582277Z   test_BatchNorm2d_2d_simple_average (__main__.TestNN) ... ok (0.039s)
2022-11-23T03:19:18.8582676Z   test_BatchNorm2d_2d_simple_average_cuda (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.8583078Z   test_BatchNorm2d_2d_simple_average_eval (__main__.TestNN) ... ok (0.034s)
2022-11-23T03:19:18.8583453Z   test_BatchNorm2d_2d_simple_average_eval_cuda (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.8583826Z   test_BatchNorm2d_cuda (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8584164Z   test_BatchNorm2d_eval (__main__.TestNN) ... ok (0.034s)
2022-11-23T03:19:18.8584496Z   test_BatchNorm2d_eval_cuda (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.8584851Z   test_BatchNorm2d_momentum (__main__.TestNN) ... ok (0.037s)
2022-11-23T03:19:18.8585216Z   test_BatchNorm2d_momentum_cuda (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8585580Z   test_BatchNorm2d_momentum_eval (__main__.TestNN) ... ok (0.034s)
2022-11-23T03:19:18.8585939Z   test_BatchNorm2d_momentum_eval_cuda (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.8586305Z   test_BatchNorm2d_not_affine (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.8586750Z   test_BatchNorm2d_not_affine_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8587113Z   test_BatchNorm2d_not_affine_eval (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8587486Z   test_BatchNorm2d_not_affine_eval_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8587866Z   test_BatchNorm2d_not_tracking_stats (__main__.TestNN) ... ok (0.036s)
2022-11-23T03:19:18.8588237Z   test_BatchNorm2d_not_tracking_stats_cuda (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.8588632Z   test_BatchNorm2d_not_tracking_stats_eval (__main__.TestNN) ... ok (0.037s)
2022-11-23T03:19:18.8589039Z   test_BatchNorm2d_not_tracking_stats_eval_cuda (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.8589425Z   test_BatchNorm2d_zero_batch (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8589776Z   test_BatchNorm2d_zero_batch_cuda (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8590149Z   test_BatchNorm2d_zero_batch_eval (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8590529Z   test_BatchNorm2d_zero_batch_eval_cuda (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8590863Z   test_BatchNorm3d (__main__.TestNN) ... ok (0.041s)
2022-11-23T03:19:18.8591215Z   test_BatchNorm3d_3d_simple_average (__main__.TestNN) ... ok (0.040s)
2022-11-23T03:19:18.8591594Z   test_BatchNorm3d_3d_simple_average_cuda (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.8591988Z   test_BatchNorm3d_3d_simple_average_eval (__main__.TestNN) ... ok (0.035s)
2022-11-23T03:19:18.8592368Z   test_BatchNorm3d_3d_simple_average_eval_cuda (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8592741Z   test_BatchNorm3d_cuda (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.8593086Z   test_BatchNorm3d_eval (__main__.TestNN) ... ok (0.049s)
2022-11-23T03:19:18.8593419Z   test_BatchNorm3d_eval_cuda (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8593773Z   test_BatchNorm3d_momentum (__main__.TestNN) ... ok (0.039s)
2022-11-23T03:19:18.8594133Z   test_BatchNorm3d_momentum_cuda (__main__.TestNN) ... ok (0.029s)
2022-11-23T03:19:18.8594492Z   test_BatchNorm3d_momentum_eval (__main__.TestNN) ... ok (0.039s)
2022-11-23T03:19:18.8594870Z   test_BatchNorm3d_momentum_eval_cuda (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8595236Z   test_BatchNorm3d_not_affine (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.8595608Z   test_BatchNorm3d_not_affine_cuda (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8595963Z   test_BatchNorm3d_not_affine_eval (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8596352Z   test_BatchNorm3d_not_affine_eval_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8596838Z   test_BatchNorm3d_not_tracking_stats (__main__.TestNN) ... ok (0.037s)
2022-11-23T03:19:18.8597205Z   test_BatchNorm3d_not_tracking_stats_cuda (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8597600Z   test_BatchNorm3d_not_tracking_stats_eval (__main__.TestNN) ... ok (0.036s)
2022-11-23T03:19:18.8598002Z   test_BatchNorm3d_not_tracking_stats_eval_cuda (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.8598388Z   test_BatchNorm3d_zero_batch (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8598740Z   test_BatchNorm3d_zero_batch_cuda (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8599114Z   test_BatchNorm3d_zero_batch_eval (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8599492Z   test_BatchNorm3d_zero_batch_eval_cuda (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8599818Z   test_CELU (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8600129Z   test_CELU_cuda (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8600462Z   test_CELU_no_batch_dim (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8600795Z   test_CELU_no_batch_dim_cuda (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8601128Z   test_CELU_scalar (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8601519Z   test_CELU_scalar_cuda (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8601888Z   test_CTCLoss_2d_int_target_lengths_intlists (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8602355Z   test_CTCLoss_2d_int_target_lengths_intlists_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8602795Z   test_CTCLoss_2d_int_target_lengths_intlists_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8603229Z   test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8603669Z   test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8604142Z   test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8604578Z   test_CTCLoss_2d_int_target_lengths_tensors (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8604992Z   test_CTCLoss_2d_int_target_lengths_tensors_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8605406Z   test_CTCLoss_2d_int_target_lengths_tensors_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8605840Z   test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8606295Z   test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8606749Z   test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8607170Z   test_CTCLoss_2d_lengths_tensors (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8607557Z   test_CTCLoss_2d_lengths_tensors_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8607956Z   test_CTCLoss_2d_lengths_tensors_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8608350Z   test_CTCLoss_2d_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8608773Z   test_CTCLoss_2d_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8609217Z   test_CTCLoss_2d_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8609617Z   test_CTCLoss_critical_target_len (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8609994Z   test_CTCLoss_lengthchecks_cpu (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8610369Z   test_CTCLoss_lengthchecks_cuda (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8610736Z   test_CTCLoss_lengths_intlists (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8611109Z   test_CTCLoss_lengths_intlists_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8611513Z   test_CTCLoss_lengths_intlists_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8611912Z   test_CTCLoss_lengths_intlists_sum_reduction (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8612406Z   test_CTCLoss_lengths_intlists_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8612845Z   test_CTCLoss_lengths_intlists_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8613248Z   test_CTCLoss_lengths_tensors (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8613634Z   test_CTCLoss_lengths_tensors_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8614004Z   test_CTCLoss_lengths_tensors_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8614402Z   test_CTCLoss_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.8614819Z   test_CTCLoss_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8615233Z   test_CTCLoss_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8615625Z   test_CTCLoss_long_targets (__main__.TestNN) ... ok (1.984s)
2022-11-23T03:19:18.8615997Z   test_CTCLoss_typechecks (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8616915Z   test_CTCLoss_zero_infinity (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8617249Z   test_ConstantPad1d (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8617596Z   test_ConstantPad1d_batch (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8618118Z   test_ConstantPad1d_batch_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8618479Z   test_ConstantPad1d_complex (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.8618850Z   test_ConstantPad1d_complex_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8619221Z   test_ConstantPad1d_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8619543Z   test_ConstantPad2d (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8619894Z   test_ConstantPad2d_complex (__main__.TestNN) ... ok (0.029s)
2022-11-23T03:19:18.8620262Z   test_ConstantPad2d_complex_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8620637Z   test_ConstantPad2d_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8620979Z   test_ConstantPad2d_no_batch_dim (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8621358Z   test_ConstantPad2d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8621717Z   test_ConstantPad3d (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8622053Z   test_ConstantPad3d_complex (__main__.TestNN) ... ok (0.049s)
2022-11-23T03:19:18.8622424Z   test_ConstantPad3d_complex_cuda (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.8622784Z   test_ConstantPad3d_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8623124Z   test_ConstantPad3d_no_batch_dim (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8623500Z   test_ConstantPad3d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8623849Z   test_Conv1d (__main__.TestNN) ... ok (0.602s)
2022-11-23T03:19:18.8624193Z   test_Conv1d_circular_stride2_pad2 (__main__.TestNN) ... ok (0.055s)
2022-11-23T03:19:18.8624564Z   test_Conv1d_circular_stride2_pad2_cuda (__main__.TestNN) ... ok (0.343s)
2022-11-23T03:19:18.8653550Z   test_Conv1d_cuda (__main__.TestNN) ... ok (0.097s)
2022-11-23T03:19:18.8654209Z   test_Conv1d_dilated (__main__.TestNN) ... ok (0.040s)
2022-11-23T03:19:18.8654547Z   test_Conv1d_dilated_cuda (__main__.TestNN) ... ok (0.033s)
2022-11-23T03:19:18.8654929Z   test_Conv1d_groups (__main__.TestNN) ... ok (0.069s)
2022-11-23T03:19:18.8655278Z   test_Conv1d_groups_cuda (__main__.TestNN) ... ok (0.181s)
2022-11-23T03:19:18.8655600Z   test_Conv1d_pad1 (__main__.TestNN) ... ok (0.042s)
2022-11-23T03:19:18.8655939Z   test_Conv1d_pad1_cuda (__main__.TestNN) ... ok (0.177s)
2022-11-23T03:19:18.8656931Z   test_Conv1d_pad1size1 (__main__.TestNN) ... ok (0.040s)
2022-11-23T03:19:18.8657559Z   test_Conv1d_pad1size1_cuda (__main__.TestNN) ... ok (0.178s)
2022-11-23T03:19:18.8657857Z   test_Conv1d_pad2 (__main__.TestNN) ... ok (0.042s)
2022-11-23T03:19:18.8658188Z   test_Conv1d_pad2_cuda (__main__.TestNN) ... ok (0.175s)
2022-11-23T03:19:18.8658877Z   test_Conv1d_pad2size1 (__main__.TestNN) ... ok (0.045s)
2022-11-23T03:19:18.8659204Z   test_Conv1d_pad2size1_cuda (__main__.TestNN) ... ok (0.176s)
2022-11-23T03:19:18.8659555Z   test_Conv1d_pad_same (__main__.TestNN) ... ok (0.041s)
2022-11-23T03:19:18.8660752Z   test_Conv1d_pad_same2 (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/conv.py:309: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.)
2022-11-23T03:19:18.8661633Z   return F.conv1d(input, weight, bias, self.stride,
2022-11-23T03:19:18.8661904Z ok (0.045s)
2022-11-23T03:19:18.8662206Z   test_Conv1d_pad_same2_cuda (__main__.TestNN) ... ok (0.180s)
2022-11-23T03:19:18.8662569Z   test_Conv1d_pad_same_cuda (__main__.TestNN) ... ok (0.033s)
2022-11-23T03:19:18.8663014Z   test_Conv1d_pad_same_dilated (__main__.TestNN) ... ok (0.043s)
2022-11-23T03:19:18.8663381Z   test_Conv1d_pad_same_dilated_cuda (__main__.TestNN) ... ok (0.171s)
2022-11-23T03:19:18.8663743Z   test_Conv1d_pad_valid (__main__.TestNN) ... ok (0.036s)
2022-11-23T03:19:18.8664102Z   test_Conv1d_pad_valid_cuda (__main__.TestNN) ... ok (0.180s)
2022-11-23T03:19:18.8664454Z   test_Conv1d_reflect_stride2_pad2 (__main__.TestNN) ... ok (0.061s)
2022-11-23T03:19:18.8664966Z   test_Conv1d_reflect_stride2_pad2_cuda (__main__.TestNN) ... ok (0.174s)
2022-11-23T03:19:18.8665370Z   test_Conv1d_replicate_stride2_pad2 (__main__.TestNN) ... ok (0.040s)
2022-11-23T03:19:18.8665746Z   test_Conv1d_replicate_stride2_pad2_cuda (__main__.TestNN) ... ok (0.176s)
2022-11-23T03:19:18.8666118Z   test_Conv1d_stride (__main__.TestNN) ... ok (0.039s)
2022-11-23T03:19:18.8666462Z   test_Conv1d_stride_cuda (__main__.TestNN) ... ok (0.175s)
2022-11-23T03:19:18.8666812Z   test_Conv1d_zero_batch (__main__.TestNN) ... ok (0.032s)
2022-11-23T03:19:18.8667148Z   test_Conv1d_zero_batch_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8667519Z   test_Conv1d_zeros_stride2_pad2 (__main__.TestNN) ... ok (0.037s)
2022-11-23T03:19:18.8667893Z   test_Conv1d_zeros_stride2_pad2_cuda (__main__.TestNN) ... ok (0.174s)
2022-11-23T03:19:18.8668222Z   test_Conv2d (__main__.TestNN) ... ok (0.039s)
2022-11-23T03:19:18.8668573Z   test_Conv2d_circular_stride2_pad2 (__main__.TestNN) ... ok (0.060s)
2022-11-23T03:19:18.8668965Z   test_Conv2d_circular_stride2_pad2_cuda (__main__.TestNN) ... ok (0.204s)
2022-11-23T03:19:18.8669309Z   test_Conv2d_cuda (__main__.TestNN) ... ok (0.033s)
2022-11-23T03:19:18.8669656Z   test_Conv2d_depthwise (__main__.TestNN) ... ok (0.046s)
2022-11-23T03:19:18.8670015Z   test_Conv2d_depthwise_cuda (__main__.TestNN) ... ok (0.030s)
2022-11-23T03:19:18.8670383Z   test_Conv2d_depthwise_dilated (__main__.TestNN) ... ok (0.047s)
2022-11-23T03:19:18.8670744Z   test_Conv2d_depthwise_dilated_cuda (__main__.TestNN) ... ok (0.032s)
2022-11-23T03:19:18.8671134Z   test_Conv2d_depthwise_padded (__main__.TestNN) ... ok (0.051s)
2022-11-23T03:19:18.8671526Z   test_Conv2d_depthwise_padded_cuda (__main__.TestNN) ... ok (0.032s)
2022-11-23T03:19:18.8671882Z   test_Conv2d_depthwise_strided (__main__.TestNN) ... ok (0.049s)
2022-11-23T03:19:18.8672262Z   test_Conv2d_depthwise_strided_cuda (__main__.TestNN) ... ok (0.032s)
2022-11-23T03:19:18.8672668Z   test_Conv2d_depthwise_with_multiplier (__main__.TestNN) ... ok (0.051s)
2022-11-23T03:19:18.8673083Z   test_Conv2d_depthwise_with_multiplier_cuda (__main__.TestNN) ... ok (0.033s)
2022-11-23T03:19:18.8673438Z   test_Conv2d_dilated (__main__.TestNN) ... ok (0.043s)
2022-11-23T03:19:18.8673786Z   test_Conv2d_dilated_cuda (__main__.TestNN) ... ok (0.177s)
2022-11-23T03:19:18.8674153Z   test_Conv2d_dilated_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8674572Z   test_Conv2d_dilated_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8674986Z   test_Conv2d_groups (__main__.TestNN) ... ok (0.048s)
2022-11-23T03:19:18.8675424Z   test_Conv2d_groups_cuda (__main__.TestNN) ... ok (0.178s)
2022-11-23T03:19:18.8675752Z   test_Conv2d_groups_thnn (__main__.TestNN) ... ok (0.050s)
2022-11-23T03:19:18.8676111Z   test_Conv2d_groups_thnn_cuda (__main__.TestNN) ... ok (0.035s)
2022-11-23T03:19:18.8676500Z   test_Conv2d_groups_thnn_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8676949Z   test_Conv2d_groups_thnn_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8677369Z   test_Conv2d_groups_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8677813Z   test_Conv2d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8678211Z   test_Conv2d_no_bias (__main__.TestNN) ... ok (0.033s)
2022-11-23T03:19:18.8678537Z   test_Conv2d_no_bias_cuda (__main__.TestNN) ... ok (0.174s)
2022-11-23T03:19:18.8678912Z   test_Conv2d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8679351Z   test_Conv2d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8679761Z   test_Conv2d_pad_same (__main__.TestNN) ... ok (0.046s)
2022-11-23T03:19:18.8680091Z   test_Conv2d_pad_same_cuda (__main__.TestNN) ... ok (0.178s)
2022-11-23T03:19:18.8680516Z   test_Conv2d_pad_same_dilated (__main__.TestNN) ... ok (0.044s)
2022-11-23T03:19:18.8680903Z   test_Conv2d_pad_same_dilated_cuda (__main__.TestNN) ... ok (0.176s)
2022-11-23T03:19:18.8681243Z   test_Conv2d_pad_valid (__main__.TestNN) ... ok (0.041s)
2022-11-23T03:19:18.8681596Z   test_Conv2d_pad_valid_cuda (__main__.TestNN) ... ok (0.175s)
2022-11-23T03:19:18.8681947Z   test_Conv2d_padding (__main__.TestNN) ... ok (0.042s)
2022-11-23T03:19:18.8682360Z   test_Conv2d_padding_cuda (__main__.TestNN) ... ok (0.177s)
2022-11-23T03:19:18.8682746Z   test_Conv2d_padding_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8683198Z   test_Conv2d_padding_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8683623Z   test_Conv2d_reflect_stride2_pad2 (__main__.TestNN) ... ok (0.043s)
2022-11-23T03:19:18.8683992Z   test_Conv2d_reflect_stride2_pad2_cuda (__main__.TestNN) ... ok (0.177s)
2022-11-23T03:19:18.8684379Z   test_Conv2d_replicate_stride2_pad2 (__main__.TestNN) ... ok (0.043s)
2022-11-23T03:19:18.8684784Z   test_Conv2d_replicate_stride2_pad2_cuda (__main__.TestNN) ... ok (0.177s)
2022-11-23T03:19:18.8685137Z   test_Conv2d_strided (__main__.TestNN) ... ok (0.039s)
2022-11-23T03:19:18.8685492Z   test_Conv2d_strided_cuda (__main__.TestNN) ... ok (0.173s)
2022-11-23T03:19:18.8685877Z   test_Conv2d_strided_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8686317Z   test_Conv2d_strided_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8686716Z   test_Conv2d_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8687149Z   test_Conv2d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8687551Z   test_Conv2d_zero_batch (__main__.TestNN) ... ok (0.031s)
2022-11-23T03:19:18.8687890Z   test_Conv2d_zero_batch_cuda (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.8688266Z   test_Conv2d_zero_batch_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8688726Z   test_Conv2d_zero_batch_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8689162Z   test_Conv2d_zeros_stride2_pad2 (__main__.TestNN) ... ok (0.037s)
2022-11-23T03:19:18.8689523Z   test_Conv2d_zeros_stride2_pad2_cuda (__main__.TestNN) ... ok (0.174s)
2022-11-23T03:19:18.8689884Z   test_Conv3d (__main__.TestNN) ... ok (0.041s)
2022-11-23T03:19:18.8690226Z   test_Conv3d_1x1x1_no_bias (__main__.TestNN) ... ok (0.029s)
2022-11-23T03:19:18.8690565Z   test_Conv3d_1x1x1_no_bias_cuda (__main__.TestNN) ... ok (0.171s)
2022-11-23T03:19:18.8691048Z   test_Conv3d_1x1x1_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8691501Z   test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8691936Z   test_Conv3d_circular_stride2_pad2 (__main__.TestNN) ... ok (0.076s)
2022-11-23T03:19:18.8692318Z   test_Conv3d_circular_stride2_pad2_cuda (__main__.TestNN) ... ok (0.195s)
2022-11-23T03:19:18.8692688Z   test_Conv3d_cuda (__main__.TestNN) ... ok (0.030s)
2022-11-23T03:19:18.8693028Z   test_Conv3d_dilated (__main__.TestNN) ... ok (0.040s)
2022-11-23T03:19:18.8693355Z   test_Conv3d_dilated_cuda (__main__.TestNN) ... ok (0.031s)
2022-11-23T03:19:18.8693715Z   test_Conv3d_dilated_strided (__main__.TestNN) ... ok (0.039s)
2022-11-23T03:19:18.8694092Z   test_Conv3d_dilated_strided_cuda (__main__.TestNN) ... ok (0.031s)
2022-11-23T03:19:18.8694432Z   test_Conv3d_groups (__main__.TestNN) ... ok (0.039s)
2022-11-23T03:19:18.8694775Z   test_Conv3d_groups_cuda (__main__.TestNN) ... ok (0.030s)
2022-11-23T03:19:18.8695164Z   test_Conv3d_groups_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8695603Z   test_Conv3d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8695987Z   test_Conv3d_no_bias (__main__.TestNN) ... ok (0.032s)
2022-11-23T03:19:18.8697015Z   test_Conv3d_no_bias_cuda (__main__.TestNN) ... ok (0.173s)
2022-11-23T03:19:18.8697396Z   test_Conv3d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8697805Z   test_Conv3d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8698207Z   test_Conv3d_pad_same (__main__.TestNN) ... ok (0.053s)
2022-11-23T03:19:18.8698560Z   test_Conv3d_pad_same_cuda (__main__.TestNN) ... ok (0.181s)
2022-11-23T03:19:18.8698898Z   test_Conv3d_pad_same_dilated (__main__.TestNN) ... ok (0.050s)
2022-11-23T03:19:18.8699275Z   test_Conv3d_pad_same_dilated_cuda (__main__.TestNN) ... ok (0.180s)
2022-11-23T03:19:18.8699645Z   test_Conv3d_pad_valid (__main__.TestNN) ... ok (0.044s)
2022-11-23T03:19:18.8699997Z   test_Conv3d_pad_valid_cuda (__main__.TestNN) ... ok (0.177s)
2022-11-23T03:19:18.8700351Z   test_Conv3d_replicate_stride2_pad2 (__main__.TestNN) ... ok (0.045s)
2022-11-23T03:19:18.8700741Z   test_Conv3d_replicate_stride2_pad2_cuda (__main__.TestNN) ... ok (0.176s)
2022-11-23T03:19:18.8701116Z   test_Conv3d_stride (__main__.TestNN) ... ok (0.041s)
2022-11-23T03:19:18.8701444Z   test_Conv3d_stride_cuda (__main__.TestNN) ... ok (0.176s)
2022-11-23T03:19:18.8701797Z   test_Conv3d_stride_padding (__main__.TestNN) ... ok (0.063s)
2022-11-23T03:19:18.8702166Z   test_Conv3d_stride_padding_cuda (__main__.TestNN) ... ok (0.177s)
2022-11-23T03:19:18.8702539Z   test_Conv3d_stride_padding_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8702999Z   test_Conv3d_stride_padding_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8703439Z   test_Conv3d_stride_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8703877Z   test_Conv3d_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8704273Z   test_Conv3d_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8704685Z   test_Conv3d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8705090Z   test_Conv3d_zero_batch (__main__.TestNN) ... ok (0.032s)
2022-11-23T03:19:18.8705455Z   test_Conv3d_zero_batch_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8705815Z   test_Conv3d_zero_batch_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8706262Z   test_Conv3d_zero_batch_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8706692Z   test_Conv3d_zeros_stride2_pad2 (__main__.TestNN) ... ok (0.041s)
2022-11-23T03:19:18.8707053Z   test_Conv3d_zeros_stride2_pad2_cuda (__main__.TestNN) ... ok (0.178s)
2022-11-23T03:19:18.8707561Z   test_ConvTranspose1d (__main__.TestNN) ... ok (0.038s)
2022-11-23T03:19:18.8707927Z   test_ConvTranspose1d_cuda (__main__.TestNN) ... ok (0.177s)
2022-11-23T03:19:18.8708278Z   test_ConvTranspose1d_dilated (__main__.TestNN) ... ok (0.037s)
2022-11-23T03:19:18.8708663Z   test_ConvTranspose1d_dilated_cuda (__main__.TestNN) ... ok (0.177s)
2022-11-23T03:19:18.8709122Z   test_ConvTranspose1d_groups (__main__.TestNN) ... ok (0.044s)
2022-11-23T03:19:18.8709517Z   test_ConvTranspose1d_groups_cuda (__main__.TestNN) ... ok (0.178s)
2022-11-23T03:19:18.8709878Z   test_ConvTranspose1d_no_bias (__main__.TestNN) ... ok (0.030s)
2022-11-23T03:19:18.8710262Z   test_ConvTranspose1d_no_bias_cuda (__main__.TestNN) ... ok (0.175s)
2022-11-23T03:19:18.8710633Z   test_ConvTranspose2d (__main__.TestNN) ... ok (0.040s)
2022-11-23T03:19:18.8710976Z   test_ConvTranspose2d_cuda (__main__.TestNN) ... ok (0.179s)
2022-11-23T03:19:18.8711348Z   test_ConvTranspose2d_dilated (__main__.TestNN) ... ok (0.031s)
2022-11-23T03:19:18.8711739Z   test_ConvTranspose2d_dilated_cuda (__main__.TestNN) ... ok (0.174s)
2022-11-23T03:19:18.8712125Z   test_ConvTranspose2d_dilated_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8712605Z   test_ConvTranspose2d_dilated_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8713127Z   test_ConvTranspose2d_groups (__main__.TestNN) ... ok (0.041s)
2022-11-23T03:19:18.8713522Z   test_ConvTranspose2d_groups_cuda (__main__.TestNN) ... ok (0.177s)
2022-11-23T03:19:18.8713914Z   test_ConvTranspose2d_groups_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8714387Z   test_ConvTranspose2d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8714833Z   test_ConvTranspose2d_no_bias (__main__.TestNN) ... ok (0.031s)
2022-11-23T03:19:18.8715191Z   test_ConvTranspose2d_no_bias_cuda (__main__.TestNN) ... ok (0.175s)
2022-11-23T03:19:18.8715604Z   test_ConvTranspose2d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8716075Z   test_ConvTranspose2d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8716525Z   test_ConvTranspose2d_with_long_tensor (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8716959Z   test_ConvTranspose2d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8717381Z   test_ConvTranspose3d (__main__.TestNN) ... ok (0.040s)
2022-11-23T03:19:18.8717747Z   test_ConvTranspose3d_cuda (__main__.TestNN) ... ok (0.177s)
2022-11-23T03:19:18.8718099Z   test_ConvTranspose3d_dilated (__main__.TestNN) ... ok (0.040s)
2022-11-23T03:19:18.8718487Z   test_ConvTranspose3d_dilated_cuda (__main__.TestNN) ... ok (0.176s)
2022-11-23T03:19:18.8718873Z   test_CosineEmbeddingLoss (__main__.TestNN) ... ok (0.034s)
2022-11-23T03:19:18.8719266Z   test_CosineEmbeddingLoss_cuda_double (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8719657Z   test_CosineEmbeddingLoss_cuda_float (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8720065Z   test_CosineEmbeddingLoss_cuda_half (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8720475Z   test_CosineEmbeddingLoss_margin (__main__.TestNN) ... ok (0.034s)
2022-11-23T03:19:18.8720874Z   test_CosineEmbeddingLoss_margin_cuda_double (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8721301Z   test_CosineEmbeddingLoss_margin_cuda_float (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8721722Z   test_CosineEmbeddingLoss_margin_cuda_half (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8722150Z   test_CosineEmbeddingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.033s)
2022-11-23T03:19:18.8722575Z   test_CosineEmbeddingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8723036Z   test_CosineEmbeddingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8723634Z   test_CosineEmbeddingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8724051Z   test_CosineEmbeddingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.8724500Z   test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8724955Z   test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8725397Z   test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8725818Z   test_CosineEmbeddingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.8726264Z   test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8726714Z   test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8727135Z   test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8727574Z   test_CosineEmbeddingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8728008Z   test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8728456Z   test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8728955Z   test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8729404Z   test_CosineEmbeddingLoss_sum_reduction (__main__.TestNN) ... ok (0.033s)
2022-11-23T03:19:18.8729834Z   test_CosineEmbeddingLoss_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8730261Z   test_CosineEmbeddingLoss_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8730707Z   test_CosineEmbeddingLoss_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8731108Z   test_CrossEntropyLoss (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8731482Z   test_CrossEntropyLoss_2d (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8731840Z   test_CrossEntropyLoss_2d_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8732235Z   test_CrossEntropyLoss_2d_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8732638Z   test_CrossEntropyLoss_2d_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8733015Z   test_CrossEntropyLoss_2d_ignore_index (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8733440Z   test_CrossEntropyLoss_2d_ignore_index_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8733883Z   test_CrossEntropyLoss_2d_ignore_index_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8734322Z   test_CrossEntropyLoss_2d_ignore_index_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8734738Z   test_CrossEntropyLoss_2d_indices_target_smoothing (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8735195Z   test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_double (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8735672Z   test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_float (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8736686Z   test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_half (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8737222Z   test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8737715Z   test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8738217Z   test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_float (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8738697Z   test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_half (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8739182Z   test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8739670Z   test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8740358Z   test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8740836Z   test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8741312Z   test_CrossEntropyLoss_2d_indices_target_smoothing_weight (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8741784Z   test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8742280Z   test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_float (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8742745Z   test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_half (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8743187Z   test_CrossEntropyLoss_2d_prob_target (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8743612Z   test_CrossEntropyLoss_2d_prob_target_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8744023Z   test_CrossEntropyLoss_2d_prob_target_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8744451Z   test_CrossEntropyLoss_2d_prob_target_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8744952Z   test_CrossEntropyLoss_2d_prob_target_smoothing (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8745408Z   test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8745847Z   test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8746299Z   test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8746759Z   test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8747225Z   test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8747734Z   test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8748222Z   test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8748691Z   test_CrossEntropyLoss_2d_prob_target_smoothing_weight (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8749137Z   test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8749613Z   test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8750086Z   test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8750538Z   test_CrossEntropyLoss_2d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8750972Z   test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8751448Z   test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8751909Z   test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8752332Z   test_CrossEntropyLoss_2d_prob_target_weights (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8752776Z   test_CrossEntropyLoss_2d_prob_target_weights_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8753229Z   test_CrossEntropyLoss_2d_prob_target_weights_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8753681Z   test_CrossEntropyLoss_2d_prob_target_weights_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8754113Z   test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8754593Z   test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8755152Z   test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8755640Z   test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8756062Z   test_CrossEntropyLoss_2d_sum_reduction (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8756490Z   test_CrossEntropyLoss_2d_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8756928Z   test_CrossEntropyLoss_2d_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8757340Z   test_CrossEntropyLoss_2d_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8757755Z   test_CrossEntropyLoss_2d_weights (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8758166Z   test_CrossEntropyLoss_2d_weights_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8758589Z   test_CrossEntropyLoss_2d_weights_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8758989Z   test_CrossEntropyLoss_2d_weights_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8759414Z   test_CrossEntropyLoss_3d_indices_target_smoothing (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8759920Z   test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8760447Z   test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_float (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8760920Z   test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_half (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8761396Z   test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8761881Z   test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8762362Z   test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_float (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8762863Z   test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_half (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8763347Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8763838Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8764320Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8764818Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8765319Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8765826Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8766369Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_float (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8766906Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8767374Z   test_CrossEntropyLoss_3d_prob_target (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8767776Z   test_CrossEntropyLoss_3d_prob_target_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8768206Z   test_CrossEntropyLoss_3d_prob_target_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8768639Z   test_CrossEntropyLoss_3d_prob_target_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8769071Z   test_CrossEntropyLoss_3d_prob_target_smoothing (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8769497Z   test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8769967Z   test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8770534Z   test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_half (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8770977Z   test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8771471Z   test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8771976Z   test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8772473Z   test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8772916Z   test_CrossEntropyLoss_3d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8773387Z   test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8773856Z   test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8774330Z   test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8774752Z   test_CrossEntropyLoss_3d_prob_target_weights (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8775193Z   test_CrossEntropyLoss_3d_prob_target_weights_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8775719Z   test_CrossEntropyLoss_3d_prob_target_weights_cuda_float (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8777078Z   test_CrossEntropyLoss_3d_prob_target_weights_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8777578Z   test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8778052Z   test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8778539Z   test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8779010Z   test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8779456Z   test_CrossEntropyLoss_4d_prob_target (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8779877Z   test_CrossEntropyLoss_4d_prob_target_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8780289Z   test_CrossEntropyLoss_4d_prob_target_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8780723Z   test_CrossEntropyLoss_4d_prob_target_cuda_half (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8781154Z   test_CrossEntropyLoss_4d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8781606Z   test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8782053Z   test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8782573Z   test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8783025Z   test_CrossEntropyLoss_4d_prob_target_weights (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8783464Z   test_CrossEntropyLoss_4d_prob_target_weights_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8783898Z   test_CrossEntropyLoss_4d_prob_target_weights_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8784355Z   test_CrossEntropyLoss_4d_prob_target_weights_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8784815Z   test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8785269Z   test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8785768Z   test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8786257Z   test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8786898Z   test_CrossEntropyLoss_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8787272Z   test_CrossEntropyLoss_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8787657Z   test_CrossEntropyLoss_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8788041Z   test_CrossEntropyLoss_dim_is_3 (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8788415Z   test_CrossEntropyLoss_dim_is_3_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8788825Z   test_CrossEntropyLoss_dim_is_3_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8789236Z   test_CrossEntropyLoss_dim_is_3_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8789645Z   test_CrossEntropyLoss_dim_is_3_sum_reduction (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8790060Z   test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8790504Z   test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8790959Z   test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8791359Z   test_CrossEntropyLoss_higher_dim (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8791776Z   test_CrossEntropyLoss_higher_dim_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8792303Z   test_CrossEntropyLoss_higher_dim_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8792739Z   test_CrossEntropyLoss_higher_dim_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8793145Z   test_CrossEntropyLoss_higher_dim_sum_reduction (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8793591Z   test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8794051Z   test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8794486Z   test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8794907Z   test_CrossEntropyLoss_weights (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8795303Z   test_CrossEntropyLoss_weights_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8795717Z   test_CrossEntropyLoss_weights_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8796112Z   test_CrossEntropyLoss_weights_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8796494Z   test_CrossMapLRN2d (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8796859Z   test_CrossMapLRN2d_cuda (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.8797170Z   test_ELU (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8797487Z   test_ELU_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8797825Z   test_ELU_no_batch_dim (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8798158Z   test_ELU_no_batch_dim_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8798510Z   test_ELU_scalar (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8798855Z   test_ELU_scalar_cuda (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8799191Z   test_Embedding (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8799532Z   test_EmbeddingBag_discontiguous (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8799928Z   test_EmbeddingBag_discontiguous_cuda (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.8800302Z   test_EmbeddingBag_max (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8800639Z   test_EmbeddingBag_max_cuda (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8801014Z   test_EmbeddingBag_max_padding_idx (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8801408Z   test_EmbeddingBag_max_padding_idx_cuda (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8801767Z   test_EmbeddingBag_mean (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8802130Z   test_EmbeddingBag_mean_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8802512Z   test_EmbeddingBag_mean_padding_idx (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8803002Z   test_EmbeddingBag_mean_padding_idx_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8803373Z   test_EmbeddingBag_sparse (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.8803745Z   test_EmbeddingBag_sparse_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8804118Z   test_EmbeddingBag_sum (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8804457Z   test_EmbeddingBag_sum_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8804837Z   test_EmbeddingBag_sum_padding_idx (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8805233Z   test_EmbeddingBag_sum_padding_idx_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8805610Z   test_Embedding_cuda (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8805956Z   test_Embedding_discontiguous (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8806341Z   test_Embedding_discontiguous_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8806723Z   test_Embedding_sparse (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8807057Z   test_Embedding_sparse_cuda (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8807395Z   test_Flatten (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8807728Z   test_Flatten_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8808050Z   test_Flatten_no_batch_dim (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8808493Z   test_Flatten_no_batch_dim_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8808843Z   test_Fold (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.8809144Z   test_Fold_cuda (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8809487Z   test_Fold_int_input (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8809837Z   test_Fold_int_input_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8810201Z   test_Fold_no_batch_dim_input (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8810554Z   test_Fold_no_batch_dim_input_cuda (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8810942Z   test_Fold_no_batch_dim_int_input (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.8811330Z   test_Fold_no_batch_dim_int_input_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8811701Z   test_FractionalMaxPool2d_ratio (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8812105Z   test_FractionalMaxPool2d_ratio_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8812531Z   test_FractionalMaxPool2d_ratio_no_batch_dim (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8812966Z   test_FractionalMaxPool2d_ratio_no_batch_dim_cuda (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8813447Z   test_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8813971Z   test_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8814458Z   test_FractionalMaxPool2d_ratio_return_indices (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8814886Z   test_FractionalMaxPool2d_ratio_return_indices_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8815301Z   test_FractionalMaxPool2d_size (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8815702Z   test_FractionalMaxPool2d_size_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8816620Z   test_FractionalMaxPool2d_size_no_batch_dim (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8817375Z   test_FractionalMaxPool2d_size_no_batch_dim_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8818011Z   test_FractionalMaxPool2d_size_no_batch_dim_no_random_samples (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8818537Z   test_FractionalMaxPool2d_size_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8818990Z   test_FractionalMaxPool3d_asymsize (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8819399Z   test_FractionalMaxPool3d_asymsize_cuda (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8819985Z   test_FractionalMaxPool3d_ratio (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8820387Z   test_FractionalMaxPool3d_ratio_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8820784Z   test_FractionalMaxPool3d_ratio_no_batch_dim (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8821227Z   test_FractionalMaxPool3d_ratio_no_batch_dim_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8821687Z   test_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8822185Z   test_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8822675Z   test_FractionalMaxPool3d_ratio_return_indices (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8823111Z   test_FractionalMaxPool3d_ratio_return_indices_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8823523Z   test_FractionalMaxPool3d_size (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.8823900Z   test_FractionalMaxPool3d_size_cuda (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8824308Z   test_FractionalMaxPool3d_size_no_batch_dim (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.8824735Z   test_FractionalMaxPool3d_size_no_batch_dim_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8825250Z   test_FractionalMaxPool3d_size_no_batch_dim_no_random_samples (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8825781Z   test_FractionalMaxPool3d_size_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.002s)
2022-11-23T03:19:18.8826212Z   test_GELU (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8826527Z   test_GELU_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8826842Z   test_GELU_no_batch_dim (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8827194Z   test_GELU_no_batch_dim_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8827545Z   test_GELU_scalar (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.8827869Z   test_GELU_scalar_cuda (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8828194Z   test_GLU (__main__.TestNN) ... ok (0.039s)
2022-11-23T03:19:18.8828506Z   test_GLU_cuda (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8828803Z   test_GLU_dim (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8829132Z   test_GLU_dim_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8829470Z   test_GLU_no_batch_dim (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8829817Z   test_GLU_no_batch_dim_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8830154Z   test_GroupNorm_1d_affine (__main__.TestNN) ... ok (0.046s)
2022-11-23T03:19:18.8830512Z   test_GroupNorm_1d_affine_GN (__main__.TestNN) ... ok (0.045s)
2022-11-23T03:19:18.8830882Z   test_GroupNorm_1d_affine_GN_cuda (__main__.TestNN) ... ok (0.031s)
2022-11-23T03:19:18.8831236Z   test_GroupNorm_1d_affine_GN_eval (__main__.TestNN) ... ok (0.045s)
2022-11-23T03:19:18.8831622Z   test_GroupNorm_1d_affine_GN_eval_cuda (__main__.TestNN) ... ok (0.031s)
2022-11-23T03:19:18.8832017Z   test_GroupNorm_1d_affine_cuda (__main__.TestNN) ... ok (0.031s)
2022-11-23T03:19:18.8832380Z   test_GroupNorm_1d_affine_eval (__main__.TestNN) ... ok (0.045s)
2022-11-23T03:19:18.8832734Z   test_GroupNorm_1d_affine_eval_cuda (__main__.TestNN) ... ok (0.031s)
2022-11-23T03:19:18.8833142Z   test_GroupNorm_1d_affine_large_batch_cuda (__main__.TestNN) ... ok (0.033s)
2022-11-23T03:19:18.8833554Z   test_GroupNorm_1d_affine_large_batch_eval_cuda (__main__.TestNN) ... ok (0.032s)
2022-11-23T03:19:18.8833925Z   test_GroupNorm_1d_no_affine_IN (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.8834302Z   test_GroupNorm_1d_no_affine_IN_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8834684Z   test_GroupNorm_1d_no_affine_IN_eval (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8835055Z   test_GroupNorm_1d_no_affine_IN_eval_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8835448Z   test_GroupNorm_1d_no_affine_LN (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8835954Z   test_GroupNorm_1d_no_affine_LN_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8836335Z   test_GroupNorm_1d_no_affine_LN_eval (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.8836705Z   test_GroupNorm_1d_no_affine_LN_eval_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8837091Z   test_GroupNorm_2d_affine (__main__.TestNN) ... ok (0.046s)
2022-11-23T03:19:18.8837449Z   test_GroupNorm_2d_affine_cuda (__main__.TestNN) ... ok (0.031s)
2022-11-23T03:19:18.8837798Z   test_GroupNorm_2d_affine_eval (__main__.TestNN) ... ok (0.046s)
2022-11-23T03:19:18.8838182Z   test_GroupNorm_2d_affine_eval_cuda (__main__.TestNN) ... ok (0.032s)
2022-11-23T03:19:18.8838584Z   test_GroupNorm_2d_affine_large_feature_cuda (__main__.TestNN) ... ok (0.052s)
2022-11-23T03:19:18.8839060Z   test_GroupNorm_2d_affine_large_feature_eval_cuda (__main__.TestNN) ... ok (0.051s)
2022-11-23T03:19:18.8839432Z   test_GroupNorm_2d_no_affine_IN (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.8839818Z   test_GroupNorm_2d_no_affine_IN_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8840204Z   test_GroupNorm_2d_no_affine_IN_eval (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8840571Z   test_GroupNorm_2d_no_affine_IN_eval_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8840950Z   test_GroupNorm_2d_no_affine_LN (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8841391Z   test_GroupNorm_2d_no_affine_LN_cuda (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.8841762Z   test_GroupNorm_2d_no_affine_LN_eval (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8842155Z   test_GroupNorm_2d_no_affine_LN_eval_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8842572Z   test_GroupNorm_2d_no_affine_large_feature_cuda (__main__.TestNN) ... ok (0.085s)
2022-11-23T03:19:18.8843004Z   test_GroupNorm_2d_no_affine_large_feature_eval_cuda (__main__.TestNN) ... ok (0.081s)
2022-11-23T03:19:18.8843360Z   test_Hardshrink (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8843714Z   test_Hardshrink_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8844079Z   test_Hardshrink_no_batch_dim (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.8844433Z   test_Hardshrink_no_batch_dim_cuda (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8844805Z   test_Hardshrink_scalar (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8845168Z   test_Hardshrink_scalar_cuda (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8845551Z   test_Hardsigmoid_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8845911Z   test_Hardsigmoid_no_batch_dim_cuda (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8846292Z   test_Hardswish_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8846673Z   test_Hardswish_no_batch_dim_cuda (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8846999Z   test_Hardtanh (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8847337Z   test_Hardtanh_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8847696Z   test_Hardtanh_no_batch_dim (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.8848040Z   test_Hardtanh_no_batch_dim_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8848402Z   test_Hardtanh_scalar (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.8848764Z   test_Hardtanh_scalar_cuda (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8849138Z   test_HingeEmbeddingLoss (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8849506Z   test_HingeEmbeddingLoss_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8849909Z   test_HingeEmbeddingLoss_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8850313Z   test_HingeEmbeddingLoss_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8850685Z   test_HingeEmbeddingLoss_margin (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8851084Z   test_HingeEmbeddingLoss_margin_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8851520Z   test_HingeEmbeddingLoss_margin_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8852096Z   test_HingeEmbeddingLoss_margin_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8852509Z   test_HingeEmbeddingLoss_margin_no_reduce (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8852929Z   test_HingeEmbeddingLoss_margin_no_reduce_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8853359Z   test_HingeEmbeddingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8853790Z   test_HingeEmbeddingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8854257Z   test_HingeEmbeddingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8854715Z   test_HingeEmbeddingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8855131Z   test_HingeEmbeddingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8855566Z   test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8856503Z   test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8856978Z   test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8857393Z   test_HingeEmbeddingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8857977Z   test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8858436Z   test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8858877Z   test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8859279Z   test_HingeEmbeddingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8859705Z   test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8860139Z   test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8860562Z   test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8860978Z   test_HingeEmbeddingLoss_no_reduce (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8861382Z   test_HingeEmbeddingLoss_no_reduce_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8861793Z   test_HingeEmbeddingLoss_scalar_margin (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8862195Z   test_HingeEmbeddingLoss_scalar_margin_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8862638Z   test_HingeEmbeddingLoss_scalar_margin_cuda_float (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8863075Z   test_HingeEmbeddingLoss_scalar_margin_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8863498Z   test_HingeEmbeddingLoss_scalar_margin_sum_reduction (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8863962Z   test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8864456Z   test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8864938Z   test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8865353Z   test_HingeEmbeddingLoss_sum_reduction (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.8865780Z   test_HingeEmbeddingLoss_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8866220Z   test_HingeEmbeddingLoss_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8866640Z   test_HingeEmbeddingLoss_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8867024Z   test_HuberLoss (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8867385Z   test_HuberLoss_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8867756Z   test_HuberLoss_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8868232Z   test_HuberLoss_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8868592Z   test_HuberLoss_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8868937Z   test_HuberLoss_delta (__main__.TestNN) ... ok (0.132s)
2022-11-23T03:19:18.8869271Z   test_HuberLoss_delta_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8869650Z   test_HuberLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8870045Z   test_HuberLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8870430Z   test_HuberLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8870844Z   test_HuberLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8871235Z   test_HuberLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8871628Z   test_HuberLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8872010Z   test_HuberLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8872413Z   test_HuberLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8872792Z   test_HuberLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8873156Z   test_HuberLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8873628Z   test_HuberLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8874030Z   test_HuberLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8874408Z   test_HuberLoss_sum_reduction (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8874774Z   test_HuberLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8875172Z   test_HuberLoss_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8875563Z   test_HuberLoss_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8875940Z   test_HuberLoss_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8876301Z   test_InstanceNorm1d (__main__.TestNN) ... ok (0.049s)
2022-11-23T03:19:18.8876655Z   test_InstanceNorm1d_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8876991Z   test_InstanceNorm1d_eval (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.8877363Z   test_InstanceNorm1d_eval_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8877734Z   test_InstanceNorm1d_no_batch_dim (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.8878120Z   test_InstanceNorm1d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8878488Z   test_InstanceNorm1d_no_batch_dim_eval (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.8878884Z   test_InstanceNorm1d_no_batch_dim_eval_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8879274Z   test_InstanceNorm1d_tracking_stats (__main__.TestNN) ... ok (0.029s)
2022-11-23T03:19:18.8879646Z   test_InstanceNorm1d_tracking_stats_cuda (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.8880046Z   test_InstanceNorm1d_tracking_stats_eval (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.8880445Z   test_InstanceNorm1d_tracking_stats_eval_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8880855Z   test_InstanceNorm1d_tracking_stats_no_batch_dim (__main__.TestNN) ... ok (0.029s)
2022-11-23T03:19:18.8881266Z   test_InstanceNorm1d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.8881699Z   test_InstanceNorm1d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.8882149Z   test_InstanceNorm1d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8882614Z   test_InstanceNorm2d (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.8882963Z   test_InstanceNorm2d_cuda (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.8883317Z   test_InstanceNorm2d_eval (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8883673Z   test_InstanceNorm2d_eval_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8884114Z   test_InstanceNorm2d_no_batch_dim (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8884498Z   test_InstanceNorm2d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8884886Z   test_InstanceNorm2d_no_batch_dim_eval (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8885271Z   test_InstanceNorm2d_no_batch_dim_eval_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8885667Z   test_InstanceNorm2d_tracking_stats (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.8886066Z   test_InstanceNorm2d_tracking_stats_cuda (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.8886468Z   test_InstanceNorm2d_tracking_stats_eval (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8886859Z   test_InstanceNorm2d_tracking_stats_eval_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8887282Z   test_InstanceNorm2d_tracking_stats_no_batch_dim (__main__.TestNN) ... ok (0.029s)
2022-11-23T03:19:18.8887722Z   test_InstanceNorm2d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.8888141Z   test_InstanceNorm2d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.8888592Z   test_InstanceNorm2d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8888985Z   test_InstanceNorm3d (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.8889392Z   test_InstanceNorm3d_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8889766Z   test_InstanceNorm3d_eval (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.8890132Z   test_InstanceNorm3d_eval_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8890515Z   test_InstanceNorm3d_no_batch_dim (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8890885Z   test_InstanceNorm3d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8891281Z   test_InstanceNorm3d_no_batch_dim_eval (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8891696Z   test_InstanceNorm3d_no_batch_dim_eval_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8892071Z   test_InstanceNorm3d_tracking_stats (__main__.TestNN) ... ok (0.029s)
2022-11-23T03:19:18.8892476Z   test_InstanceNorm3d_tracking_stats_cuda (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.8892880Z   test_InstanceNorm3d_tracking_stats_eval (__main__.TestNN) ... ok (0.045s)
2022-11-23T03:19:18.8893293Z   test_InstanceNorm3d_tracking_stats_eval_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.8893699Z   test_InstanceNorm3d_tracking_stats_no_batch_dim (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8894129Z   test_InstanceNorm3d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.8894570Z   test_InstanceNorm3d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.8894995Z   test_InstanceNorm3d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.8896979Z   test_KLDivLoss (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T03:19:18.8898077Z   warnings.warn(
2022-11-23T03:19:18.8899040Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T03:19:18.8899685Z   warnings.warn(
2022-11-23T03:19:18.8900589Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T03:19:18.8901403Z   warnings.warn(
2022-11-23T03:19:18.8901654Z ok (0.010s)
2022-11-23T03:19:18.8901958Z   test_KLDivLoss_batch_mean (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.8902325Z   test_KLDivLoss_batch_mean_log_target (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.8902703Z   test_KLDivLoss_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8903059Z   test_KLDivLoss_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8903401Z   test_KLDivLoss_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8904477Z   test_KLDivLoss_log_target (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T03:19:18.8905174Z   warnings.warn(
2022-11-23T03:19:18.8906188Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T03:19:18.8906826Z   warnings.warn(
2022-11-23T03:19:18.8907047Z ok (0.010s)
2022-11-23T03:19:18.8907368Z   test_KLDivLoss_log_target_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8907765Z   test_KLDivLoss_log_target_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8908142Z   test_KLDivLoss_log_target_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8908542Z   test_KLDivLoss_log_target_sum_reduction (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8908973Z   test_KLDivLoss_log_target_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8909389Z   test_KLDivLoss_log_target_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8909828Z   test_KLDivLoss_log_target_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8910232Z   test_KLDivLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8910629Z   test_KLDivLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8911020Z   test_KLDivLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8911426Z   test_KLDivLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8911819Z   test_KLDivLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8912192Z   test_KLDivLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8912600Z   test_KLDivLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8913009Z   test_KLDivLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8913402Z   test_KLDivLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8913773Z   test_KLDivLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8914183Z   test_KLDivLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8914589Z   test_KLDivLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8914948Z   test_KLDivLoss_no_reduce (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8915302Z   test_KLDivLoss_no_reduce_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8915677Z   test_KLDivLoss_no_reduce_log_target (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8916076Z   test_KLDivLoss_no_reduce_log_target_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8916448Z   test_KLDivLoss_no_reduce_scalar (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8916917Z   test_KLDivLoss_no_reduce_scalar_cuda (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8917318Z   test_KLDivLoss_no_reduce_scalar_log_target (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8917800Z   test_KLDivLoss_no_reduce_scalar_log_target_cuda (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8918932Z   test_KLDivLoss_scalar (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T03:19:18.8919618Z   warnings.warn(
2022-11-23T03:19:18.8920549Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T03:19:18.8921173Z   warnings.warn(
2022-11-23T03:19:18.8922147Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T03:19:18.8922770Z   warnings.warn(
2022-11-23T03:19:18.8923007Z ok (0.009s)
2022-11-23T03:19:18.8923299Z   test_KLDivLoss_scalar_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8923679Z   test_KLDivLoss_scalar_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8924051Z   test_KLDivLoss_scalar_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8925149Z   test_KLDivLoss_scalar_log_target (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T03:19:18.8925848Z   warnings.warn(
2022-11-23T03:19:18.8926769Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T03:19:18.8927401Z   warnings.warn(
2022-11-23T03:19:18.8927638Z ok (0.009s)
2022-11-23T03:19:18.8927951Z   test_KLDivLoss_scalar_log_target_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8928366Z   test_KLDivLoss_scalar_log_target_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8928777Z   test_KLDivLoss_scalar_log_target_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8929190Z   test_KLDivLoss_scalar_log_target_sum_reduction (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8929610Z   test_KLDivLoss_scalar_log_target_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8930064Z   test_KLDivLoss_scalar_log_target_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8930509Z   test_KLDivLoss_scalar_log_target_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8930908Z   test_KLDivLoss_scalar_sum_reduction (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8931317Z   test_KLDivLoss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8931737Z   test_KLDivLoss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8932147Z   test_KLDivLoss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8932615Z   test_KLDivLoss_sum_reduction (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8933001Z   test_KLDivLoss_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8933401Z   test_KLDivLoss_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8933783Z   test_KLDivLoss_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8934173Z   test_KLDivLoss_with_log_target_no_reduce (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8934575Z   test_KLDivLoss_with_log_target_no_reduce_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8934980Z   test_KLDivLoss_with_target_no_reduce (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.8935354Z   test_KLDivLoss_with_target_no_reduce_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8935706Z   test_L1Loss (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8936369Z   test_L1Loss_cuda_cdouble (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8936689Z   test_L1Loss_cuda_cfloat (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8937030Z   test_L1Loss_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8937364Z   test_L1Loss_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8937684Z   test_L1Loss_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8938144Z   test_L1Loss_no_batch_dim_mean (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8938536Z   test_L1Loss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8938924Z   test_L1Loss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8939288Z   test_L1Loss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8939662Z   test_L1Loss_no_batch_dim_none (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8940035Z   test_L1Loss_no_batch_dim_none_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8940410Z   test_L1Loss_no_batch_dim_none_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8940803Z   test_L1Loss_no_batch_dim_none_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8941173Z   test_L1Loss_no_batch_dim_sum (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8941550Z   test_L1Loss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8941723Z   test_L1Loss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8941908Z   test_L1Loss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8942067Z   test_L1Loss_no_reduce (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8942245Z   test_L1Loss_no_reduce_complex (__main__.TestNN) ... ok (0.034s)
2022-11-23T03:19:18.8942431Z   test_L1Loss_no_reduce_complex_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8942600Z   test_L1Loss_no_reduce_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8942771Z   test_L1Loss_no_reduce_scalar (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8942958Z   test_L1Loss_no_reduce_scalar_cuda (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8943094Z   test_L1Loss_scalar (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8943270Z   test_L1Loss_scalar_cuda_cdouble (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8943445Z   test_L1Loss_scalar_cuda_cfloat (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8943617Z   test_L1Loss_scalar_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8943786Z   test_L1Loss_scalar_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8943953Z   test_L1Loss_scalar_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8944104Z   test_LPPool1d (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.8944245Z   test_LPPool1d_cuda (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.8944420Z   test_LPPool1d_no_batch_dim (__main__.TestNN) ... ok (0.029s)
2022-11-23T03:19:18.8944594Z   test_LPPool1d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.8944902Z   test_LPPool1d_norm (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.8945068Z   test_LPPool1d_norm_cuda (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.8945217Z   test_LPPool2d (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.8945373Z   test_LPPool2d_cuda (__main__.TestNN) ... ok (0.031s)
2022-11-23T03:19:18.8945530Z   test_LPPool2d_norm (__main__.TestNN) ... ok (0.033s)
2022-11-23T03:19:18.8945677Z   test_LPPool2d_norm_cuda (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.8945822Z   test_LSTM_cell (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8946001Z   test_LSTM_cell_forward_hidden_size (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8946182Z   test_LSTM_cell_forward_input_size (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8946365Z   test_LayerNorm_1d_elementwise_affine (__main__.TestNN) ... ok (0.039s)
2022-11-23T03:19:18.8946558Z   test_LayerNorm_1d_elementwise_affine_cuda (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.8946754Z   test_LayerNorm_1d_elementwise_affine_eval (__main__.TestNN) ... ok (0.039s)
2022-11-23T03:19:18.8946933Z   test_LayerNorm_1d_elementwise_affine_eval_cuda (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.8947130Z   test_LayerNorm_1d_empty_elementwise_affine (__main__.TestNN) ... ok (0.032s)
2022-11-23T03:19:18.8947385Z   test_LayerNorm_1d_empty_elementwise_affine_cuda (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.8947587Z   test_LayerNorm_1d_empty_elementwise_affine_eval (__main__.TestNN) ... ok (0.033s)
2022-11-23T03:19:18.8947798Z   test_LayerNorm_1d_empty_elementwise_affine_eval_cuda (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.8947987Z   test_LayerNorm_1d_no_elementwise_affine (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8948183Z   test_LayerNorm_1d_no_elementwise_affine_cuda (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8948377Z   test_LayerNorm_1d_no_elementwise_affine_eval (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8948582Z   test_LayerNorm_1d_no_elementwise_affine_eval_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8948749Z   test_LayerNorm_3d_elementwise_affine (__main__.TestNN) ... ok (0.035s)
2022-11-23T03:19:18.8948941Z   test_LayerNorm_3d_elementwise_affine_cuda (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.8949130Z   test_LayerNorm_3d_elementwise_affine_eval (__main__.TestNN) ... ok (0.036s)
2022-11-23T03:19:18.8949331Z   test_LayerNorm_3d_elementwise_affine_eval_cuda (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8949519Z   test_LayerNorm_3d_no_affine_large_feature (__main__.TestNN) ... ok (1.029s)
2022-11-23T03:19:18.8949713Z   test_LayerNorm_3d_no_affine_large_feature_cuda (__main__.TestNN) ... ok (0.342s)
2022-11-23T03:19:18.8949904Z   test_LayerNorm_3d_no_affine_large_feature_eval (__main__.TestNN) ... ok (0.958s)
2022-11-23T03:19:18.8950108Z   test_LayerNorm_3d_no_affine_large_feature_eval_cuda (__main__.TestNN) ... ok (0.327s)
2022-11-23T03:19:18.8950280Z   test_LayerNorm_3d_no_elementwise_affine (__main__.TestNN) ... ok (0.032s)
2022-11-23T03:19:18.8950482Z   test_LayerNorm_3d_no_elementwise_affine_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8950680Z   test_LayerNorm_3d_no_elementwise_affine_eval (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.8950882Z   test_LayerNorm_3d_no_elementwise_affine_eval_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8951038Z   test_LeakyReLU (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8951195Z   test_LeakyReLU_cuda (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8951369Z   test_LeakyReLU_no_batch_dim (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.8951546Z   test_LeakyReLU_no_batch_dim_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8951696Z   test_LeakyReLU_with_negval (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8951873Z   test_LeakyReLU_with_negval_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8952051Z   test_LeakyReLU_with_negval_scalar (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8952305Z   test_LeakyReLU_with_negval_scalar_cuda (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8952484Z   test_LeakyReLU_with_zero_negval (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8952667Z   test_LeakyReLU_with_zero_negval_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8952810Z   test_Linear (__main__.TestNN) ... ok (0.034s)
2022-11-23T03:19:18.8952947Z   test_Linear_cuda (__main__.TestNN) ... ok (0.227s)
2022-11-23T03:19:18.8953114Z   test_Linear_no_batch_dim (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.8953283Z   test_Linear_no_batch_dim_cuda (__main__.TestNN) ... ok (0.175s)
2022-11-23T03:19:18.8953433Z   test_Linear_no_bias (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.8953597Z   test_Linear_no_bias_cuda (__main__.TestNN) ... ok (0.170s)
2022-11-23T03:19:18.8953771Z   test_LocalResponseNorm_1d (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.8953950Z   test_LocalResponseNorm_1d_cuda (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8954143Z   test_LocalResponseNorm_2d_uneven_pad (__main__.TestNN) ... ok (0.029s)
2022-11-23T03:19:18.8954322Z   test_LocalResponseNorm_2d_uneven_pad_cuda (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.8954513Z   test_LocalResponseNorm_3d_custom_params (__main__.TestNN) ... ok (0.053s)
2022-11-23T03:19:18.8954772Z   test_LocalResponseNorm_3d_custom_params_cuda (__main__.TestNN) ... ok (0.035s)
2022-11-23T03:19:18.8954931Z   test_LogSigmoid (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8955089Z   test_LogSigmoid_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8955261Z   test_LogSigmoid_no_batch_dim (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8955442Z   test_LogSigmoid_no_batch_dim_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8955608Z   test_LogSigmoid_scalar (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.8955762Z   test_LogSigmoid_scalar_cuda (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8955916Z   test_LogSoftmax (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8956078Z   test_LogSoftmax_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8956249Z   test_LogSoftmax_multiparam (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8956429Z   test_LogSoftmax_multiparam_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8956611Z   test_LogSoftmax_multiparam_scalar (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.8956803Z   test_LogSoftmax_multiparam_scalar_cuda (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8956955Z   test_LogSoftmax_no_batch_dim (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8957134Z   test_LogSoftmax_no_batch_dim_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8957280Z   test_MSELoss (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8957446Z   test_MSELoss_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8957611Z   test_MSELoss_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8957770Z   test_MSELoss_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8957946Z   test_MSELoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8958133Z   test_MSELoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8958303Z   test_MSELoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8958493Z   test_MSELoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8958665Z   test_MSELoss_no_batch_dim_none (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8958858Z   test_MSELoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8959043Z   test_MSELoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8959226Z   test_MSELoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8959393Z   test_MSELoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8959578Z   test_MSELoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8959813Z   test_MSELoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8959995Z   test_MSELoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8960155Z   test_MSELoss_no_reduce (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8960320Z   test_MSELoss_no_reduce_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8960495Z   test_MSELoss_no_reduce_scalar (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8960676Z   test_MSELoss_no_reduce_scalar_cuda (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8960832Z   test_MSELoss_prec (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8961008Z   test_MSELoss_prec_cuda_bfloat16 (__main__.TestNN) ... ok (0.031s)
2022-11-23T03:19:18.8961162Z   test_MSELoss_prec_cuda_double (__main__.TestNN) ... ok (0.039s)
2022-11-23T03:19:18.8961333Z   test_MSELoss_prec_cuda_float (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.8961499Z   test_MSELoss_prec_cuda_half (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.8961671Z   test_MSELoss_scalar (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8961849Z   test_MSELoss_scalar_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8962023Z   test_MSELoss_scalar_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8962251Z   test_MSELoss_scalar_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8962418Z   test_MSELoss_scalar_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8962597Z   test_MSELoss_scalar_sum_reduction (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.8962801Z   test_MSELoss_scalar_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8963000Z   test_MSELoss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8963198Z   test_MSELoss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.8963391Z   test_MSELoss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8963565Z   test_MSELoss_sum_reduction (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8963751Z   test_MSELoss_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8963915Z   test_MSELoss_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8964103Z   test_MSELoss_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8964272Z   test_MarginRankingLoss (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8964462Z   test_MarginRankingLoss_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8964646Z   test_MarginRankingLoss_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8964833Z   test_MarginRankingLoss_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8965008Z   test_MarginRankingLoss_margin (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8965206Z   test_MarginRankingLoss_margin_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8965388Z   test_MarginRankingLoss_margin_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8965588Z   test_MarginRankingLoss_margin_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8965788Z   test_MarginRankingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8966011Z   test_MarginRankingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8966230Z   test_MarginRankingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8966441Z   test_MarginRankingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8966635Z   test_MarginRankingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8966846Z   test_MarginRankingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8967039Z   test_MarginRankingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8967327Z   test_MarginRankingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8967520Z   test_MarginRankingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8967735Z   test_MarginRankingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8967952Z   test_MarginRankingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8968157Z   test_MarginRankingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8968345Z   test_MarginRankingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8968545Z   test_MarginRankingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8968744Z   test_MarginRankingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8968929Z   test_MarginRankingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8969122Z   test_MarginRankingLoss_sum_reduction (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8969329Z   test_MarginRankingLoss_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8969535Z   test_MarginRankingLoss_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8969793Z   test_MarginRankingLoss_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8969953Z   test_MaxPool1d (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.8970112Z   test_MaxPool1d_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8970267Z   test_MaxPool1d_return_indices (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.8970451Z   test_MaxPool1d_return_indices_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8970612Z   test_MaxPool1d_stride (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8970782Z   test_MaxPool1d_stride_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8970947Z   test_MaxPool2d_3d_input (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8971123Z   test_MaxPool2d_3d_input_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8971283Z   test_MaxPool2d_4d_input (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8971450Z   test_MaxPool2d_4d_input_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8971607Z   test_MaxPool2d_return_indices (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8971792Z   test_MaxPool2d_return_indices_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8971945Z   test_MaxPool3d (__main__.TestNN) ... ok (0.040s)
2022-11-23T03:19:18.8972101Z   test_MaxPool3d_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8972271Z   test_MaxPool3d_return_indices (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8972449Z   test_MaxPool3d_return_indices_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8972608Z   test_MaxPool3d_stride (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8972780Z   test_MaxPool3d_stride_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8972948Z   test_MaxPool3d_stride_padding (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8973127Z   test_MaxPool3d_stride_padding_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.8973289Z   test_MaxUnpool1d_net (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.8973459Z   test_MaxUnpool1d_net_cuda (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.8973643Z   test_MaxUnpool1d_net_no_batch_dim (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.8973828Z   test_MaxUnpool1d_net_no_batch_dim_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8973988Z   test_MaxUnpool2d_net (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.8974193Z   test_MaxUnpool2d_net_cuda (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8974369Z   test_MaxUnpool2d_net_no_batch_dim (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.8974555Z   test_MaxUnpool2d_net_no_batch_dim_cuda (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8974792Z   test_MaxUnpool3d_net (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8974957Z   test_MaxUnpool3d_net_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8975133Z   test_MaxUnpool3d_net_no_batch_dim (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8975318Z   test_MaxUnpool3d_net_no_batch_dim_cuda (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8975462Z   test_Mish (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8975594Z   test_Mish_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.8975752Z   test_Mish_no_batch_dim (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.8975924Z   test_Mish_no_batch_dim_cuda (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8976503Z   test_Mish_scalar (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8976791Z   test_Mish_scalar_cuda (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8977043Z   test_ModuleDict (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8977294Z   test_ModuleList (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8977587Z   test_MultiLabelMarginLoss (__main__.TestNN) ... ok (0.034s)
2022-11-23T03:19:18.8977867Z   test_MultiLabelMarginLoss_0d_no_reduce (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8978074Z   test_MultiLabelMarginLoss_0d_no_reduce_cuda (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8978250Z   test_MultiLabelMarginLoss_1d (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8978595Z   test_MultiLabelMarginLoss_1d_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8978802Z   test_MultiLabelMarginLoss_1d_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8978996Z   test_MultiLabelMarginLoss_1d_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8979189Z   test_MultiLabelMarginLoss_1d_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8979362Z   test_MultiLabelMarginLoss_1d_no_reduce (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.8979564Z   test_MultiLabelMarginLoss_1d_no_reduce_cuda (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8979767Z   test_MultiLabelMarginLoss_1d_sum_reduction (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.8979985Z   test_MultiLabelMarginLoss_1d_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8980201Z   test_MultiLabelMarginLoss_1d_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8980418Z   test_MultiLabelMarginLoss_1d_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8980632Z   test_MultiLabelMarginLoss_1d_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8980824Z   test_MultiLabelMarginLoss_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8981014Z   test_MultiLabelMarginLoss_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8981187Z   test_MultiLabelMarginLoss_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8981376Z   test_MultiLabelMarginLoss_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8981569Z   test_MultiLabelMarginLoss_index_neg (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.8981768Z   test_MultiLabelMarginLoss_index_neg_cuda (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8981966Z   test_MultiLabelMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8982184Z   test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8982451Z   test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8982665Z   test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8982847Z   test_MultiLabelMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8983062Z   test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8983273Z   test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8983560Z   test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8983758Z   test_MultiLabelMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8983971Z   test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8984184Z   test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8984396Z   test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8984568Z   test_MultiLabelMarginLoss_no_reduce (__main__.TestNN) ... ok (0.043s)
2022-11-23T03:19:18.8984765Z   test_MultiLabelMarginLoss_no_reduce_cuda (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.8984959Z   test_MultiLabelMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.034s)
2022-11-23T03:19:18.8985171Z   test_MultiLabelMarginLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8985388Z   test_MultiLabelMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8985599Z   test_MultiLabelMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8985810Z   test_MultiLabelMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8985992Z   test_MultiLabelSoftMarginLoss (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8986228Z   test_MultiLabelSoftMarginLoss_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8986438Z   test_MultiLabelSoftMarginLoss_cuda_float (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8986634Z   test_MultiLabelSoftMarginLoss_cuda_half (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8986844Z   test_MultiLabelSoftMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8987074Z   test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8987301Z   test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8987535Z   test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8987748Z   test_MultiLabelSoftMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8987984Z   test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8988192Z   test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8988413Z   test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8988620Z   test_MultiLabelSoftMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.8988841Z   test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8989058Z   test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8989286Z   test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8989487Z   test_MultiLabelSoftMarginLoss_no_reduce (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.8989694Z   test_MultiLabelSoftMarginLoss_no_reduce_cuda (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.8989881Z   test_MultiLabelSoftMarginLoss_weights (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.8990097Z   test_MultiLabelSoftMarginLoss_weights_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8990311Z   test_MultiLabelSoftMarginLoss_weights_cuda_float (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8990522Z   test_MultiLabelSoftMarginLoss_weights_cuda_half (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8990729Z   test_MultiLabelSoftMarginLoss_weights_no_reduce (__main__.TestNN) ... ok (0.042s)
2022-11-23T03:19:18.8990947Z   test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.8991222Z   test_MultiLabelSoftMarginLoss_weights_sum_reduction (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8991461Z   test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8991678Z   test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8991915Z   test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.8992085Z   test_MultiMarginLoss (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.8992251Z   test_MultiMarginLoss_1d (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8993636Z   test_MultiMarginLoss_1d_cuda_double (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.8993873Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.8994022Z ok (0.004s)
2022-11-23T03:19:18.8994214Z   test_MultiMarginLoss_1d_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8994397Z   test_MultiMarginLoss_1d_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8994573Z   test_MultiMarginLoss_1d_no_reduce (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.8995837Z   test_MultiMarginLoss_1d_no_reduce_cuda (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.8996077Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.8996161Z ok (0.017s)
2022-11-23T03:19:18.8996348Z   test_MultiMarginLoss_1d_sum_reduction (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8997661Z   test_MultiMarginLoss_1d_sum_reduction_cuda_double (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.8997900Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.8998000Z ok (0.004s)
2022-11-23T03:19:18.8998211Z   test_MultiMarginLoss_1d_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.8998414Z   test_MultiMarginLoss_1d_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.8999672Z   test_MultiMarginLoss_cuda_double (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [5, 10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.8999992Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.9000090Z ok (0.004s)
2022-11-23T03:19:18.9000277Z   test_MultiMarginLoss_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9000456Z   test_MultiMarginLoss_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9000611Z   test_MultiMarginLoss_margin (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9001890Z   test_MultiMarginLoss_margin_cuda_double (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [5, 10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.9002131Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.9002230Z ok (0.004s)
2022-11-23T03:19:18.9002474Z   test_MultiMarginLoss_margin_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9002670Z   test_MultiMarginLoss_margin_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9002856Z   test_MultiMarginLoss_margin_no_reduce (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9004128Z   test_MultiMarginLoss_margin_no_reduce_cuda (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [5, 10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.9004367Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.9004470Z ok (0.016s)
2022-11-23T03:19:18.9004667Z   test_MultiMarginLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9005967Z   test_MultiMarginLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [5, 10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.9006203Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.9006286Z ok (0.004s)
2022-11-23T03:19:18.9006508Z   test_MultiMarginLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9006722Z   test_MultiMarginLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9006901Z   test_MultiMarginLoss_no_reduce (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9008155Z   test_MultiMarginLoss_no_reduce_cuda (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [5, 10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.9008464Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.9008567Z ok (0.015s)
2022-11-23T03:19:18.9008834Z   test_MultiMarginLoss_p (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9010112Z   test_MultiMarginLoss_p_cuda_double (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [5, 10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.9010355Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.9010453Z ok (0.004s)
2022-11-23T03:19:18.9010640Z   test_MultiMarginLoss_p_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9010860Z   test_MultiMarginLoss_p_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9011049Z   test_MultiMarginLoss_p_no_reduce (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9012328Z   test_MultiMarginLoss_p_no_reduce_cuda (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [5, 10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.9012566Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.9012665Z ok (0.015s)
2022-11-23T03:19:18.9012854Z   test_MultiMarginLoss_p_sum_reduction (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9014146Z   test_MultiMarginLoss_p_sum_reduction_cuda_double (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [5, 10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.9014382Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.9014481Z ok (0.004s)
2022-11-23T03:19:18.9014688Z   test_MultiMarginLoss_p_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9014890Z   test_MultiMarginLoss_p_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9015061Z   test_MultiMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9016679Z   test_MultiMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [5, 10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.9017063Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.9017164Z ok (0.004s)
2022-11-23T03:19:18.9017366Z   test_MultiMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9017570Z   test_MultiMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9017749Z   test_MultiMarginLoss_weights (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.9019024Z   test_MultiMarginLoss_weights_cuda_double (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [5, 10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.9019259Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.9019358Z ok (0.004s)
2022-11-23T03:19:18.9019624Z   test_MultiMarginLoss_weights_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9019830Z   test_MultiMarginLoss_weights_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9020004Z   test_MultiMarginLoss_weights_no_reduce (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9021280Z   test_MultiMarginLoss_weights_no_reduce_cuda (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [5, 10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.9021518Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.9021621Z ok (0.016s)
2022-11-23T03:19:18.9021827Z   test_MultiMarginLoss_weights_sum_reduction (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9023109Z   test_MultiMarginLoss_weights_sum_reduction_cuda_double (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [5, 10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.9023343Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.9023441Z ok (0.004s)
2022-11-23T03:19:18.9023660Z   test_MultiMarginLoss_weights_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9023874Z   test_MultiMarginLoss_weights_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9024021Z   test_NLLLoss (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9024190Z   test_NLLLoss2d_no_reduce (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.9024345Z   test_NLLLoss2d_no_reduce_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.9024532Z   test_NLLLoss2d_no_reduce_ignore_index (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.9024726Z   test_NLLLoss2d_no_reduce_ignore_index_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.9024971Z   test_NLLLoss2d_no_reduce_weights (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.9025157Z   test_NLLLoss2d_no_reduce_weights_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.9025323Z   test_NLLLossNd_no_reduce (__main__.TestNN) ... ok (0.038s)
2022-11-23T03:19:18.9025493Z   test_NLLLossNd_no_reduce_cuda (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.9025662Z   test_NLLLossNd_no_reduce_ignore_index (__main__.TestNN) ... ok (0.038s)
2022-11-23T03:19:18.9025857Z   test_NLLLossNd_no_reduce_ignore_index_cuda (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.9026031Z   test_NLLLossNd_no_reduce_weights (__main__.TestNN) ... ok (0.038s)
2022-11-23T03:19:18.9026211Z   test_NLLLossNd_no_reduce_weights_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.9026358Z   test_NLLLoss_2d (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.9026527Z   test_NLLLoss_2d_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9026693Z   test_NLLLoss_2d_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9026862Z   test_NLLLoss_2d_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9027009Z   test_NLLLoss_2d_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9027179Z   test_NLLLoss_2d_ignore_index (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.9027426Z   test_NLLLoss_2d_ignore_index_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9027623Z   test_NLLLoss_2d_ignore_index_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9027810Z   test_NLLLoss_2d_ignore_index_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9027995Z   test_NLLLoss_2d_ignore_index_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9028165Z   test_NLLLoss_2d_sum_reduction (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.9028356Z   test_NLLLoss_2d_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9028528Z   test_NLLLoss_2d_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9028728Z   test_NLLLoss_2d_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9028916Z   test_NLLLoss_2d_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9029078Z   test_NLLLoss_2d_weights (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.9029265Z   test_NLLLoss_2d_weights_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9029445Z   test_NLLLoss_2d_weights_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9029624Z   test_NLLLoss_2d_weights_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9029800Z   test_NLLLoss_2d_weights_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9029947Z   test_NLLLoss_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9030111Z   test_NLLLoss_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9030273Z   test_NLLLoss_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9030439Z   test_NLLLoss_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9030595Z   test_NLLLoss_dim_is_3 (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9030772Z   test_NLLLoss_dim_is_3_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9030951Z   test_NLLLoss_dim_is_3_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9031132Z   test_NLLLoss_dim_is_3_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9031289Z   test_NLLLoss_dim_is_3_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9031467Z   test_NLLLoss_dim_is_3_sum_reduction (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.9031666Z   test_NLLLoss_dim_is_3_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9031862Z   test_NLLLoss_dim_is_3_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9032056Z   test_NLLLoss_dim_is_3_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9032318Z   test_NLLLoss_dim_is_3_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9032482Z   test_NLLLoss_higher_dim (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.9032666Z   test_NLLLoss_higher_dim_cuda_bfloat16 (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9032830Z   test_NLLLoss_higher_dim_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9033013Z   test_NLLLoss_higher_dim_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9033195Z   test_NLLLoss_higher_dim_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9033380Z   test_NLLLoss_higher_dim_sum_reduction (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.9033584Z   test_NLLLoss_higher_dim_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9033784Z   test_NLLLoss_higher_dim_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9033982Z   test_NLLLoss_higher_dim_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9034191Z   test_NLLLoss_higher_dim_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9034340Z   test_NLLLoss_ignore_index (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9034526Z   test_NLLLoss_ignore_index_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9034706Z   test_NLLLoss_ignore_index_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9034947Z   test_NLLLoss_ignore_index_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9035139Z   test_NLLLoss_ignore_index_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9035313Z   test_NLLLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.9035503Z   test_NLLLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9035695Z   test_NLLLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9035864Z   test_NLLLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9036040Z   test_NLLLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.9036229Z   test_NLLLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9036420Z   test_NLLLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9036607Z   test_NLLLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9036781Z   test_NLLLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.9036969Z   test_NLLLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9037155Z   test_NLLLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9037322Z   test_NLLLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9037484Z   test_NLLLoss_no_reduce (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9037650Z   test_NLLLoss_no_reduce_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.9037834Z   test_NLLLoss_no_reduce_ignore_index (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.9038020Z   test_NLLLoss_no_reduce_ignore_index_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.9038191Z   test_NLLLoss_no_reduce_weights (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.9038372Z   test_NLLLoss_no_reduce_weights_cuda (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.9038553Z   test_NLLLoss_no_reduce_weights_ignore_index (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.9038760Z   test_NLLLoss_no_reduce_weights_ignore_index_cuda (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.9038957Z   test_NLLLoss_no_reduce_weights_ignore_index_neg (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.9039165Z   test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.9039331Z   test_NLLLoss_sum_reduction (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.9039516Z   test_NLLLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9039766Z   test_NLLLoss_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9039949Z   test_NLLLoss_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9040112Z   test_NLLLoss_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9040272Z   test_NLLLoss_weights (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.9040461Z   test_NLLLoss_weights_cuda_bfloat16 (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9040643Z   test_NLLLoss_weights_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9040818Z   test_NLLLoss_weights_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9040993Z   test_NLLLoss_weights_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9041170Z   test_NLLLoss_weights_ignore_index (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.9041368Z   test_NLLLoss_weights_ignore_index_cuda_bfloat16 (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9041555Z   test_NLLLoss_weights_ignore_index_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9041752Z   test_NLLLoss_weights_ignore_index_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9041943Z   test_NLLLoss_weights_ignore_index_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9042181Z   test_NLLLoss_weights_ignore_index_neg (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.9042395Z   test_NLLLoss_weights_ignore_index_neg_cuda_bfloat16 (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9042597Z   test_NLLLoss_weights_ignore_index_neg_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9042802Z   test_NLLLoss_weights_ignore_index_neg_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9043000Z   test_NLLLoss_weights_ignore_index_neg_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9043128Z   test_PReLU_1d (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.9043285Z   test_PReLU_1d_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.9043455Z   test_PReLU_1d_multiparam (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.9043629Z   test_PReLU_1d_multiparam_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.9043774Z   test_PReLU_2d (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.9043926Z   test_PReLU_2d_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.9044093Z   test_PReLU_2d_multiparam (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.9044271Z   test_PReLU_2d_multiparam_cuda (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.9044398Z   test_PReLU_3d (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.9044557Z   test_PReLU_3d_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.9044722Z   test_PReLU_3d_multiparam (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.9044899Z   test_PReLU_3d_multiparam_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.9045094Z   test_PReLU_backward_requires_grad_false (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9045264Z   test_PReLU_no_batch_dim (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.9045439Z   test_PReLU_no_batch_dim_cuda (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.9045573Z   test_PReLU_scalar (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.9045739Z   test_PReLU_scalar_cuda (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.9045917Z   test_Padding122112_3dcircular (__main__.TestNN) ... ok (0.032s)
2022-11-23T03:19:18.9046097Z   test_Padding122112_3dcircular_cuda (__main__.TestNN) ... ok (0.034s)
2022-11-23T03:19:18.9046268Z   test_Padding1221_2dcircular (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.9046443Z   test_Padding1221_2dcircular_cuda (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.9046609Z   test_Padding12_1dcircular (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.9048063Z   test_Padding12_1dcircular_cuda (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.9048218Z   test_Padding2322_2dcircular (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.9048477Z   test_Padding2322_2dcircular_cuda (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.9048641Z   test_Padding31_1dcircular (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.9048811Z   test_Padding31_1dcircular_cuda (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.9048979Z   test_Padding322112_3dcircular (__main__.TestNN) ... ok (0.031s)
2022-11-23T03:19:18.9049161Z   test_Padding322112_3dcircular_cuda (__main__.TestNN) ... ok (0.035s)
2022-11-23T03:19:18.9049327Z   test_Padding332122_3dcircular (__main__.TestNN) ... ok (0.031s)
2022-11-23T03:19:18.9049498Z   test_Padding332122_3dcircular_cuda (__main__.TestNN) ... ok (0.034s)
2022-11-23T03:19:18.9049646Z   test_Padding3331_2dcircular (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.9049822Z   test_Padding3331_2dcircular_cuda (__main__.TestNN) ... ok (0.029s)
2022-11-23T03:19:18.9049986Z   test_Padding33_1dcircular (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.9050155Z   test_Padding33_1dcircular_cuda (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.9050324Z   test_PairwiseDistance (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.9050512Z   test_PairwiseDistance_broadcast_lhs (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.9050708Z   test_PairwiseDistance_broadcast_lhs_cuda (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.9050894Z   test_PairwiseDistance_broadcast_rhs (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.9051150Z   test_PairwiseDistance_broadcast_rhs_cuda (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.9051335Z   test_PairwiseDistance_cuda (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.9051522Z   test_PairwiseDistance_no_batch_dim (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.9051713Z   test_PairwiseDistance_no_batch_dim_cuda (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.9051911Z   test_PairwiseDistance_with_non_default_args (__main__.TestNN) ... ok (0.033s)
2022-11-23T03:19:18.9052114Z   test_PairwiseDistance_with_non_default_args_cuda (__main__.TestNN) ... ok (0.026s)
2022-11-23T03:19:18.9052277Z   test_ParameterDict (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.9052453Z   test_ParameterDict_replication (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9052591Z   test_ParameterList (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.9052756Z   test_ParameterList_meta (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9052937Z   test_ParameterList_replication (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9053091Z   test_PixelShuffle (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.9053255Z   test_PixelShuffle_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.9053415Z   test_PixelUnshuffle (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.9053581Z   test_PixelUnshuffle_cuda (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9053738Z   test_PoissonNLLLoss_full_loss (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.9053933Z   test_PoissonNLLLoss_full_loss_cuda_double (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9054128Z   test_PoissonNLLLoss_full_loss_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9054315Z   test_PoissonNLLLoss_full_loss_cuda_half (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9054507Z   test_PoissonNLLLoss_full_loss_no_log_input (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.9054720Z   test_PoissonNLLLoss_full_loss_no_log_input_cuda_double (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.9054930Z   test_PoissonNLLLoss_full_loss_no_log_input_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9055217Z   test_PoissonNLLLoss_full_loss_no_log_input_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9055387Z   test_PoissonNLLLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9055591Z   test_PoissonNLLLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9055794Z   test_PoissonNLLLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9056560Z   test_PoissonNLLLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9056902Z   test_PoissonNLLLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9057254Z   test_PoissonNLLLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9057594Z   test_PoissonNLLLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9057944Z   test_PoissonNLLLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9058184Z   test_PoissonNLLLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9058372Z   test_PoissonNLLLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9058571Z   test_PoissonNLLLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9058768Z   test_PoissonNLLLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9058946Z   test_PoissonNLLLoss_no_full_loss (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.9059147Z   test_PoissonNLLLoss_no_full_loss_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9059340Z   test_PoissonNLLLoss_no_full_loss_cuda_float (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9059535Z   test_PoissonNLLLoss_no_full_loss_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9059877Z   test_PoissonNLLLoss_no_full_loss_no_log_input (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.9060090Z   test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_double (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9060305Z   test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_float (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9060515Z   test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_half (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9060689Z   test_PoissonNLLLoss_no_reduce (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9060871Z   test_PoissonNLLLoss_no_reduce_cuda (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.9061019Z   test_RNN_cell (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.9061200Z   test_RNN_cell_forward_hidden_size (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.9061378Z   test_RNN_cell_forward_input_size (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.9061545Z   test_RNN_cell_forward_zero_hidden_size (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9061719Z   test_RNN_cell_no_broadcasting (__main__.TestNN) ... ok (0.046s)
2022-11-23T03:19:18.9061888Z   test_RNN_change_dropout (__main__.TestNN) ... ok (0.144s)
2022-11-23T03:19:18.9062064Z   test_RNN_cpu_vs_cudnn_no_dropout (__main__.TestNN) ... ok (4.295s)
2022-11-23T03:19:18.9062242Z   test_RNN_cpu_vs_cudnn_with_dropout (__main__.TestNN) ... ok (4.241s)
2022-11-23T03:19:18.9063379Z   test_RNN_cudnn_weight_norm (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/rnn.py:776: UserWarning: RNN module weights are not part of single contiguous chunk of memory. This means they need to be compacted at every call, possibly greatly increasing memory usage. To compact weights again call flatten_parameters(). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/cudnn/RNN.cpp:982.)
2022-11-23T03:19:18.9063587Z   result = _VF.lstm(input, hx, self._flat_weights, self.bias, self.num_layers,
2022-11-23T03:19:18.9064494Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/rnn.py:776: UserWarning: RNN module weights are not part of single contiguous chunk of memory. This means they need to be compacted at every call, possibly greatly increasing memory usage. To compact weights again call flatten_parameters(). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/cudnn/RNN.cpp:982.)
2022-11-23T03:19:18.9064692Z   result = _VF.lstm(input, hx, self._flat_weights, self.bias, self.num_layers,
2022-11-23T03:19:18.9065588Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/rnn.py:776: UserWarning: RNN module weights are not part of single contiguous chunk of memory. This means they need to be compacted at every call, possibly greatly increasing memory usage. To compact weights again call flatten_parameters(). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/cudnn/RNN.cpp:982.)
2022-11-23T03:19:18.9065864Z   result = _VF.lstm(input, hx, self._flat_weights, self.bias, self.num_layers,
2022-11-23T03:19:18.9066762Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/rnn.py:776: UserWarning: RNN module weights are not part of single contiguous chunk of memory. This means they need to be compacted at every call, possibly greatly increasing memory usage. To compact weights again call flatten_parameters(). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/cudnn/RNN.cpp:982.)
2022-11-23T03:19:18.9066958Z   result = _VF.lstm(input, hx, self._flat_weights, self.bias, self.num_layers,
2022-11-23T03:19:18.9067042Z ok (0.018s)
2022-11-23T03:19:18.9067194Z   test_RNN_dropout (__main__.TestNN) ... ok (0.663s)
2022-11-23T03:19:18.9068062Z   test_RNN_dropout_state (__main__.TestNN) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68849 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T03:19:18.9068277Z   test_RNN_input_size_zero (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9068446Z   test_RNN_nonlinearity (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9068589Z   test_RReLU (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9068785Z   test_RReLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.194s)
2022-11-23T03:19:18.9068950Z   test_RReLU_no_batch_dim (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.9069145Z   test_RReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.146s)
2022-11-23T03:19:18.9069307Z   test_RReLU_with_up_down (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.9069518Z   test_RReLU_with_up_down_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.145s)
2022-11-23T03:19:18.9069690Z   test_RReLU_with_up_down_scalar (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.9069914Z   test_RReLU_with_up_down_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.146s)
2022-11-23T03:19:18.9070055Z   test_ReLU (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9070196Z   test_ReLU6 (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9070345Z   test_ReLU6_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9070488Z   test_ReLU6_no_batch_dim (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.9070655Z   test_ReLU6_no_batch_dim_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9070804Z   test_ReLU6_scalar (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.9070960Z   test_ReLU6_scalar_cuda (__main__.TestNN) ... ok (0.153s)
2022-11-23T03:19:18.9071103Z   test_ReLU_cuda (__main__.TestNN) ... ok (0.162s)
2022-11-23T03:19:18.9071267Z   test_ReLU_no_batch_dim (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.9071431Z   test_ReLU_no_batch_dim_cuda (__main__.TestNN) ... ok (0.162s)
2022-11-23T03:19:18.9071566Z   test_ReLU_scalar (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.9071723Z   test_ReLU_scalar_cuda (__main__.TestNN) ... ok (0.154s)
2022-11-23T03:19:18.9071889Z   test_ReflectionPad1d (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9072060Z   test_ReflectionPad1d_batch (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9072239Z   test_ReflectionPad1d_batch_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9072418Z   test_ReflectionPad1d_complex (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.9072602Z   test_ReflectionPad1d_complex_cuda (__main__.TestNN) ... ok (0.162s)
2022-11-23T03:19:18.9072770Z   test_ReflectionPad1d_cuda (__main__.TestNN) ... ok (0.162s)
2022-11-23T03:19:18.9072914Z   test_ReflectionPad2d (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9073149Z   test_ReflectionPad2d_complex (__main__.TestNN) ... ok (0.031s)
2022-11-23T03:19:18.9073332Z   test_ReflectionPad2d_complex_cuda (__main__.TestNN) ... ok (0.165s)
2022-11-23T03:19:18.9073499Z   test_ReflectionPad2d_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9073677Z   test_ReflectionPad2d_no_batch_dim (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.9073867Z   test_ReflectionPad2d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.162s)
2022-11-23T03:19:18.9074029Z   test_ReflectionPad3d (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.9074203Z   test_ReflectionPad3d_complex (__main__.TestNN) ... ok (0.045s)
2022-11-23T03:19:18.9074370Z   test_ReflectionPad3d_complex_cuda (__main__.TestNN) ... ok (0.171s)
2022-11-23T03:19:18.9074535Z   test_ReflectionPad3d_cuda (__main__.TestNN) ... ok (0.167s)
2022-11-23T03:19:18.9074716Z   test_ReflectionPad3d_no_batch_dim (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.9074902Z   test_ReflectionPad3d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9075070Z   test_ReplicationPad1d (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9075244Z   test_ReplicationPad1d_batch (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9075425Z   test_ReplicationPad1d_batch_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9075586Z   test_ReplicationPad1d_complex (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.9075888Z   test_ReplicationPad1d_complex_cuda (__main__.TestNN) ... ok (0.162s)
2022-11-23T03:19:18.9076069Z   test_ReplicationPad1d_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9076229Z   test_ReplicationPad2d (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9076405Z   test_ReplicationPad2d_complex (__main__.TestNN) ... ok (0.029s)
2022-11-23T03:19:18.9076591Z   test_ReplicationPad2d_complex_cuda (__main__.TestNN) ... ok (0.163s)
2022-11-23T03:19:18.9076762Z   test_ReplicationPad2d_cuda (__main__.TestNN) ... ok (0.162s)
2022-11-23T03:19:18.9076940Z   test_ReplicationPad2d_no_batch_dim (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9077116Z   test_ReplicationPad2d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.163s)
2022-11-23T03:19:18.9077281Z   test_ReplicationPad3d (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9077457Z   test_ReplicationPad3d_complex (__main__.TestNN) ... ok (0.048s)
2022-11-23T03:19:18.9077641Z   test_ReplicationPad3d_complex_cuda (__main__.TestNN) ... ok (0.165s)
2022-11-23T03:19:18.9077816Z   test_ReplicationPad3d_cuda (__main__.TestNN) ... ok (0.162s)
2022-11-23T03:19:18.9077997Z   test_ReplicationPad3d_no_batch_dim (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9078188Z   test_ReplicationPad3d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9078329Z   test_SELU (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9078456Z   test_SELU_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9078620Z   test_SELU_no_batch_dim (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.9078788Z   test_SELU_no_batch_dim_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9078946Z   test_SELU_scalar (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.9079102Z   test_SELU_scalar_cuda (__main__.TestNN) ... ok (0.153s)
2022-11-23T03:19:18.9079258Z   test_Sequential_add (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9079421Z   test_Sequential_append (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9079571Z   test_Sequential_delitem (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9079733Z   test_Sequential_extend (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9079895Z   test_Sequential_getitem (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9080052Z   test_Sequential_iadd (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9080209Z   test_Sequential_imul (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9080372Z   test_Sequential_insert (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9080548Z   test_Sequential_insert_fail_case (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9080701Z   test_Sequential_mul (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9080904Z   test_Sequential_pop (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9081061Z   test_Sequential_rmul (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9081221Z   test_Sequential_setitem (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9081391Z   test_Sequential_setitem_named (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9081537Z   test_SiLU (__main__.TestNN) ... ok (0.040s)
2022-11-23T03:19:18.9081685Z   test_SiLU_cuda (__main__.TestNN) ... ok (0.162s)
2022-11-23T03:19:18.9081843Z   test_SiLU_no_batch_dim (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.9081990Z   test_SiLU_no_batch_dim_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9082142Z   test_SiLU_scalar (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.9082299Z   test_SiLU_scalar_cuda (__main__.TestNN) ... ok (0.154s)
2022-11-23T03:19:18.9082544Z   test_Sigmoid (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9082697Z   test_Sigmoid_cuda (__main__.TestNN) ... ok (0.163s)
2022-11-23T03:19:18.9082865Z   test_Sigmoid_no_batch_dim (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.9083035Z   test_Sigmoid_no_batch_dim_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9083190Z   test_Sigmoid_scalar (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.9083334Z   test_Sigmoid_scalar_cuda (__main__.TestNN) ... ok (0.153s)
2022-11-23T03:19:18.9083537Z   test_SmoothL1Loss (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.9083708Z   test_SmoothL1Loss_beta (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.9083875Z   test_SmoothL1Loss_beta_cuda (__main__.TestNN) ... ok (0.163s)
2022-11-23T03:19:18.9084045Z   test_SmoothL1Loss_cuda_double (__main__.TestNN) ... ok (0.147s)
2022-11-23T03:19:18.9084217Z   test_SmoothL1Loss_cuda_float (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9084383Z   test_SmoothL1Loss_cuda_half (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9084548Z   test_SmoothL1Loss_no_batch_dim_mean (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.9084757Z   test_SmoothL1Loss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9084954Z   test_SmoothL1Loss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9085149Z   test_SmoothL1Loss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9085332Z   test_SmoothL1Loss_no_batch_dim_none (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.9085532Z   test_SmoothL1Loss_no_batch_dim_none_cuda_double (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9085729Z   test_SmoothL1Loss_no_batch_dim_none_cuda_float (__main__.TestNN) ... ok (0.146s)
2022-11-23T03:19:18.9085924Z   test_SmoothL1Loss_no_batch_dim_none_cuda_half (__main__.TestNN) ... ok (0.149s)
2022-11-23T03:19:18.9086090Z   test_SmoothL1Loss_no_batch_dim_sum (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.9086287Z   test_SmoothL1Loss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9086487Z   test_SmoothL1Loss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9086680Z   test_SmoothL1Loss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9086849Z   test_SmoothL1Loss_no_reduce (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.9087033Z   test_SmoothL1Loss_no_reduce_cuda (__main__.TestNN) ... ok (0.162s)
2022-11-23T03:19:18.9087216Z   test_SmoothL1Loss_no_reduce_scalar (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.9087407Z   test_SmoothL1Loss_no_reduce_scalar_cuda (__main__.TestNN) ... ok (0.152s)
2022-11-23T03:19:18.9087553Z   test_SmoothL1Loss_scalar (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.9087736Z   test_SmoothL1Loss_scalar_cuda_double (__main__.TestNN) ... ok (0.149s)
2022-11-23T03:19:18.9087917Z   test_SmoothL1Loss_scalar_cuda_float (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9088097Z   test_SmoothL1Loss_scalar_cuda_half (__main__.TestNN) ... ok (0.149s)
2022-11-23T03:19:18.9088435Z   test_SmoothL1Loss_scalar_sum_reduction (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.9088639Z   test_SmoothL1Loss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9088840Z   test_SmoothL1Loss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9089047Z   test_SmoothL1Loss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.149s)
2022-11-23T03:19:18.9089206Z   test_SmoothL1Loss_sum_reduction (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.9089399Z   test_SmoothL1Loss_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.147s)
2022-11-23T03:19:18.9089591Z   test_SmoothL1Loss_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9089781Z   test_SmoothL1Loss_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9089948Z   test_SmoothL1Loss_zero_beta (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9090126Z   test_SmoothL1Loss_zero_beta_cuda (__main__.TestNN) ... ok (0.162s)
2022-11-23T03:19:18.9090293Z   test_SoftMarginLoss (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9090470Z   test_SoftMarginLoss_cuda_double (__main__.TestNN) ... ok (0.149s)
2022-11-23T03:19:18.9090627Z   test_SoftMarginLoss_cuda_float (__main__.TestNN) ... ok (0.149s)
2022-11-23T03:19:18.9090798Z   test_SoftMarginLoss_cuda_half (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9091039Z   test_SoftMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9091250Z   test_SoftMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9091452Z   test_SoftMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9091656Z   test_SoftMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9091842Z   test_SoftMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9092049Z   test_SoftMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9092237Z   test_SoftMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... ok (0.149s)
2022-11-23T03:19:18.9092435Z   test_SoftMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... ok (0.149s)
2022-11-23T03:19:18.9092618Z   test_SoftMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9092819Z   test_SoftMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... ok (0.147s)
2022-11-23T03:19:18.9093020Z   test_SoftMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9093218Z   test_SoftMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9093390Z   test_SoftMarginLoss_no_reduce (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.9093571Z   test_SoftMarginLoss_no_reduce_cuda (__main__.TestNN) ... ok (0.163s)
2022-11-23T03:19:18.9093738Z   test_SoftMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9093939Z   test_SoftMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9094138Z   test_SoftMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... ok (0.149s)
2022-11-23T03:19:18.9094334Z   test_SoftMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9094480Z   test_Softmax (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.9094630Z   test_Softmax2d (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9094787Z   test_Softmax2d_cuda (__main__.TestNN) ... ok (0.162s)
2022-11-23T03:19:18.9094954Z   test_Softmax2d_no_batch_dim (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9095112Z   test_Softmax2d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9095262Z   test_Softmax_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9095426Z   test_Softmax_no_batch_dim (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9095595Z   test_Softmax_no_batch_dim_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9095819Z   test_Softmax_scalar (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.9095985Z   test_Softmax_scalar_cuda (__main__.TestNN) ... ok (0.153s)
2022-11-23T03:19:18.9096425Z   test_Softmin (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9096584Z   test_Softmin_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9096724Z   test_Softmin_multidim (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9096894Z   test_Softmin_multidim_cuda (__main__.TestNN) ... ok (0.163s)
2022-11-23T03:19:18.9097058Z   test_Softmin_no_batch_dim (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9097226Z   test_Softmin_no_batch_dim_cuda (__main__.TestNN) ... ok (0.162s)
2022-11-23T03:19:18.9097380Z   test_Softmin_scalar (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.9097542Z   test_Softmin_scalar_cuda (__main__.TestNN) ... ok (0.154s)
2022-11-23T03:19:18.9097694Z   test_Softplus (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9097831Z   test_Softplus_beta (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9098002Z   test_Softplus_beta_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9098174Z   test_Softplus_beta_threshold (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9098353Z   test_Softplus_beta_threshold_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9098539Z   test_Softplus_beta_threshold_scalar (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.9098844Z   test_Softplus_beta_threshold_scalar_cuda (__main__.TestNN) ... ok (0.151s)
2022-11-23T03:19:18.9099009Z   test_Softplus_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9099176Z   test_Softplus_no_batch_dim (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.9099334Z   test_Softplus_no_batch_dim_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9099483Z   test_Softshrink (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9099640Z   test_Softshrink_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9099801Z   test_Softshrink_lambda (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9099976Z   test_Softshrink_lambda_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9100150Z   test_Softshrink_lambda_scalar (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.9100335Z   test_Softshrink_lambda_scalar_cuda (__main__.TestNN) ... ok (0.152s)
2022-11-23T03:19:18.9100486Z   test_Softshrink_no_batch_dim (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.9100668Z   test_Softshrink_no_batch_dim_cuda (__main__.TestNN) ... ok (0.159s)
2022-11-23T03:19:18.9100816Z   test_Softsign (__main__.TestNN) ... ok (0.047s)
2022-11-23T03:19:18.9100970Z   test_Softsign_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9101136Z   test_Softsign_no_batch_dim (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9101310Z   test_Softsign_no_batch_dim_cuda (__main__.TestNN) ... ok (0.163s)
2022-11-23T03:19:18.9101468Z   test_Softsign_scalar (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9101634Z   test_Softsign_scalar_cuda (__main__.TestNN) ... ok (0.153s)
2022-11-23T03:19:18.9101761Z   test_Tanh (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9101907Z   test_Tanh_cuda (__main__.TestNN) ... ok (0.159s)
2022-11-23T03:19:18.9102068Z   test_Tanh_no_batch_dim (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.9102234Z   test_Tanh_no_batch_dim_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9102389Z   test_Tanh_scalar (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.9102546Z   test_Tanh_scalar_cuda (__main__.TestNN) ... ok (0.152s)
2022-11-23T03:19:18.9102695Z   test_Tanhshrink (__main__.TestNN) ... ok (0.032s)
2022-11-23T03:19:18.9102835Z   test_Tanhshrink_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9103009Z   test_Tanhshrink_no_batch_dim (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.9103188Z   test_Tanhshrink_no_batch_dim_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9103353Z   test_Tanhshrink_scalar (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.9103523Z   test_Tanhshrink_scalar_cuda (__main__.TestNN) ... ok (0.152s)
2022-11-23T03:19:18.9103783Z   test_Threshold_large_value (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9103961Z   test_Threshold_large_value_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9104128Z   test_Threshold_no_batch_dim (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.9104286Z   test_Threshold_no_batch_dim_cuda (__main__.TestNN) ... ok (0.158s)
2022-11-23T03:19:18.9104462Z   test_Threshold_threshold_value (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9104646Z   test_Threshold_threshold_value_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9104830Z   test_Threshold_threshold_value_scalar (__main__.TestNN) ... ok (0.030s)
2022-11-23T03:19:18.9105019Z   test_Threshold_threshold_value_scalar_cuda (__main__.TestNN) ... ok (0.152s)
2022-11-23T03:19:18.9105227Z   test_TransformerDecoderLayer_gelu_activation (__main__.TestNN) ... ok (0.144s)
2022-11-23T03:19:18.9105449Z   test_TransformerDecoderLayer_gelu_activation_cuda (__main__.TestNN) ... ok (0.241s)
2022-11-23T03:19:18.9105660Z   test_TransformerDecoderLayer_relu_activation (__main__.TestNN) ... ok (0.143s)
2022-11-23T03:19:18.9105856Z   test_TransformerDecoderLayer_relu_activation_cuda (__main__.TestNN) ... ok (0.242s)
2022-11-23T03:19:18.9106063Z   test_TransformerEncoderLayer_gelu_activation (__main__.TestNN) ... ok (0.084s)
2022-11-23T03:19:18.9106334Z   test_TransformerEncoderLayer_gelu_activation_cuda (__main__.TestNN) ... ok (0.214s)
2022-11-23T03:19:18.9106550Z   test_TransformerEncoderLayer_relu_activation (__main__.TestNN) ... ok (0.286s)
2022-11-23T03:19:18.9106765Z   test_TransformerEncoderLayer_relu_activation_cuda (__main__.TestNN) ... ok (0.236s)
2022-11-23T03:19:18.9106927Z   test_Transformer_cell (__main__.TestNN) ... ok (0.824s)
2022-11-23T03:19:18.9107106Z   test_Transformer_multilayer_coder (__main__.TestNN) ... ok (0.783s)
2022-11-23T03:19:18.9107294Z   test_Transformer_multilayer_coder_cuda (__main__.TestNN) ... ok (0.411s)
2022-11-23T03:19:18.9107472Z   test_TripletMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.9107687Z   test_TripletMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... ok (0.149s)
2022-11-23T03:19:18.9107896Z   test_TripletMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... ok (0.147s)
2022-11-23T03:19:18.9108106Z   test_TripletMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9108301Z   test_TripletMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.9108507Z   test_TripletMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... ok (0.147s)
2022-11-23T03:19:18.9108711Z   test_TripletMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9108914Z   test_TripletMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... ok (0.148s)
2022-11-23T03:19:18.9109091Z   test_TripletMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.9109296Z   test_TripletMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... ok (0.147s)
2022-11-23T03:19:18.9109507Z   test_TripletMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... ok (0.147s)
2022-11-23T03:19:18.9109716Z   test_TripletMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... ok (0.147s)
2022-11-23T03:19:18.9109883Z   test_Unflatten_no_batch_dim (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9110063Z   test_Unflatten_no_batch_dim_cuda (__main__.TestNN) ... ok (0.158s)
2022-11-23T03:19:18.9110212Z   test_Unfold (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.9110363Z   test_Unfold_cuda (__main__.TestNN) ... ok (0.159s)
2022-11-23T03:19:18.9110507Z   test_Unfold_int_input (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9110676Z   test_Unfold_int_input_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9110825Z   test_ZeroPad2d (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9110989Z   test_ZeroPad2d_complex (__main__.TestNN) ... ok (0.030s)
2022-11-23T03:19:18.9111159Z   test_ZeroPad2d_complex_cuda (__main__.TestNN) ... ok (0.162s)
2022-11-23T03:19:18.9111403Z   test_ZeroPad2d_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9111575Z   test_ZeroPad2d_negative_dims (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9111760Z   test_ZeroPad2d_negative_dims_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9111911Z   test_ZeroPad2d_no_batch_dim (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9112093Z   test_ZeroPad2d_no_batch_dim_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9112261Z   test_adaptive_log_softmax (__main__.TestNN) ... ok (0.023s)
2022-11-23T03:19:18.9112409Z   test_add_module (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9112599Z   test_add_module_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9112748Z   test_affine_grid (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9112900Z   test_affine_grid_3d (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9113056Z   test_affine_grid_error_checking (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9113212Z   test_assignment (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.9113390Z   test_backward_hooks_interaction (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9113601Z   test_batchnorm_buffer_update_when_stats_are_not_tracked (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9113768Z   test_batchnorm_cudnn_half (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9113988Z   test_batchnorm_cudnn_nhwc (__main__.TestNN) ... ok (0.012s)
2022-11-23T03:19:18.9114162Z   test_batchnorm_nhwc_cpu (__main__.TestNN) ... ok (0.032s)
2022-11-23T03:19:18.9114327Z   test_batchnorm_nhwc_cuda (__main__.TestNN) ... ok (0.153s)
2022-11-23T03:19:18.9114482Z   test_batchnorm_non_contig_cpu (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9114675Z   test_batchnorm_nonaffine_cuda_half_input (__main__.TestNN) ... ok (0.152s)
2022-11-23T03:19:18.9114897Z   test_batchnorm_raises_error_if_bias_is_not_same_size_as_input (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.9115127Z   test_batchnorm_raises_error_if_less_than_one_value_per_channel (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9115359Z   test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.9115588Z   test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.9115832Z   test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9116061Z   test_batchnorm_raises_error_if_weight_is_not_same_size_as_input (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.9116224Z   test_bce_loss_always_nonnegative (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9116400Z   test_bce_loss_broadcasts_weights (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9116564Z   test_bce_loss_input_range (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.9116731Z   test_bce_loss_size_mismatch (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9116928Z   test_bce_with_logits_broadcasts_pos_weights (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9117114Z   test_bce_with_logits_broadcasts_weights (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9117331Z   test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9117581Z   test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad (__main__.TestNN) ... ok (0.052s)
2022-11-23T03:19:18.9117775Z   test_bce_with_logits_has_correct_forward_grad (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9117952Z   test_bce_with_logits_has_correct_grad_at_zero (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9118166Z   test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9118392Z   test_bce_with_logits_raises_if_target_and_input_are_different_size (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9118566Z   test_bce_with_logits_stability (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9118848Z   test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9118994Z   test_bilinear (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9119166Z   test_bilinear_broadcasting (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9119328Z   test_bilinear_no_bias (__main__.TestNN) ... ok (0.037s)
2022-11-23T03:19:18.9119486Z   test_bilinear_non_contiguous (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9119923Z   test_broadcast_double_backwards_gpu (__main__.TestNN) ... skip: multi-GPU not supported (0.001s)
2022-11-23T03:19:18.9120220Z   test_broadcast_no_grad (__main__.TestNN) ... skip: multi-GPU not supported (0.001s)
2022-11-23T03:19:18.9120534Z   test_broadcast_not_requiring_grad (__main__.TestNN) ... skip: multi-GPU not supported (0.001s)
2022-11-23T03:19:18.9120707Z   test_buffer_not_persistent (__main__.TestNN) ... ok (0.001s)
2022-11-23T03:19:18.9120898Z   test_buffer_not_persistent_assign (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9121076Z   test_buffer_not_persistent_del (__main__.TestNN) ... ok (0.001s)
2022-11-23T03:19:18.9121255Z   test_buffer_not_persistent_load (__main__.TestNN) ... ok (0.001s)
2022-11-23T03:19:18.9121422Z   test_buffer_not_persistent_overwrite (__main__.TestNN) ... ok (0.001s)
2022-11-23T03:19:18.9121669Z   test_buffers_and_named_buffers (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9121838Z   test_caching_parametrization (__main__.TestNN)
2022-11-23T03:19:18.9122022Z Test the caching system of a parametrization ... ok (0.004s)
2022-11-23T03:19:18.9122250Z   test_caching_parametrization_with_transfer_parametrizations_and_params (__main__.TestNN)
2022-11-23T03:19:18.9122571Z Test that transferring parametrizations doesn't cause issues with caching ... ok (0.005s)
2022-11-23T03:19:18.9123535Z   test_call_supports_python_dict_output (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1284: UserWarning: Using non-full backward hooks on a Module that does not return a single Tensor or a tuple of Tensors is deprecated and will be removed in future versions. This hook will be missing some of the grad_output. Please use register_full_backward_hook to get the documented behavior.
2022-11-23T03:19:18.9123836Z   warnings.warn("Using non-full backward hooks on a Module that does not return a "
2022-11-23T03:19:18.9123940Z ok (0.003s)
2022-11-23T03:19:18.9124084Z   test_channel_shuffle (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9124260Z   test_channel_shuffle_return_self (__main__.TestNN) ... ok (0.001s)
2022-11-23T03:19:18.9124408Z   test_children (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9124565Z   test_clip_grad_norm (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9124722Z   test_clip_grad_value (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9124879Z   test_compute_nparams_to_prune (__main__.TestNN)
2022-11-23T03:19:18.9125080Z Test that requested pruning `amount` gets translated into the ... ok (0.002s)
2022-11-23T03:19:18.9125224Z   test_container_copy (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9125395Z   test_convert_sync_batchnorm (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.9125586Z   test_cosine_embedding_loss_invalid_shape (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.9125783Z   test_cosine_embedding_loss_margin_no_reduce (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.9125972Z   test_cosine_embedding_loss_no_reduce (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.9126165Z   test_cosine_embedding_loss_with_diff_type (__main__.TestNN) ... ok (0.260s)
2022-11-23T03:19:18.9126329Z   test_cosine_similarity (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9126497Z   test_cross_entropy_loss (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9126659Z   test_cross_entropy_loss_precision (__main__.TestNN) ... ok (4.426s)
2022-11-23T03:19:18.9126835Z   test_cross_entropy_loss_zero_div (__main__.TestNN) ... ok (0.001s)
2022-11-23T03:19:18.9127273Z   test_cudnn_rnn_dropout_states_device (__main__.TestNN) ... skip: CUDNN or multi-gpu not available (0.001s)
2022-11-23T03:19:18.9127445Z   test_cudnn_weight_format (__main__.TestNN) ... ok (0.057s)
2022-11-23T03:19:18.9127609Z   test_cudnn_weight_tying (__main__.TestNN) ... ok (0.032s)
2022-11-23T03:19:18.9127761Z   test_custom_from_mask_pruning (__main__.TestNN)
2022-11-23T03:19:18.9127956Z Test that the CustomFromMask is capable of receiving ... ok (0.002s)
2022-11-23T03:19:18.9128125Z   test_deepcopy_after_parametrization (__main__.TestNN)
2022-11-23T03:19:18.9128437Z Test that we are able to create a deepcopy of the module when it's parametrized. ... ok (0.012s)
2022-11-23T03:19:18.9128579Z   test_dir (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9128728Z   test_dir_digit (__main__.TestNN) ... ok (0.001s)
2022-11-23T03:19:18.9128895Z   test_elu_inplace_gradgrad (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.9129059Z   test_elu_inplace_on_view (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9129231Z   test_error_RNN_seq_len_zero (__main__.TestNN) ... ok (0.057s)
2022-11-23T03:19:18.9129437Z   test_errors_parametrized_tensor_parametrization (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9129630Z   test_errors_unparametrized_tensor_parametrization (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9129780Z   test_extra_state (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9130030Z   test_extra_state_missing_get_extra_state (__main__.TestNN) ... ok (0.001s)
2022-11-23T03:19:18.9130224Z   test_extra_state_missing_set_extra_state (__main__.TestNN) ... ok (0.001s)
2022-11-23T03:19:18.9130388Z   test_extra_state_non_dict (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9130951Z   test_fb_fc_packed (__main__.TestNN) ... /var/lib/jenkins/workspace/test/test_nn.py:5090: UserWarning: fbgemm_pack_gemm_matrix_fp16 is deprecated and will be removed in a future PyTorch release. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/QuantizedLinear.cpp:382.)
2022-11-23T03:19:18.9131136Z   packed_w_tensor = torch.fbgemm_pack_gemm_matrix_fp16(w_tensor)
2022-11-23T03:19:18.9131595Z /var/lib/jenkins/workspace/test/test_nn.py:5091: UserWarning: fbgemm_linear_fp16_weight_fp32_activation is deprecated and will be removed in a future PyTorch release. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/QuantizedLinear.cpp:417.)
2022-11-23T03:19:18.9131815Z   actual_output = torch.fbgemm_linear_fp16_weight(x_tensor, packed_w_tensor, b_tensor)
2022-11-23T03:19:18.9131917Z ok (0.003s)
2022-11-23T03:19:18.9132048Z   test_flatten (__main__.TestNN) ... ok (0.001s)
2022-11-23T03:19:18.9132208Z   test_fold_invalid_arg (__main__.TestNN) ... ok (0.036s)
2022-11-23T03:19:18.9132380Z   test_gaussian_nll_loss_args (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9132566Z   test_gaussian_nll_loss_broadcasting (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9132713Z   test_get_buffer (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9132895Z   test_get_buffer_from_submodules (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9133090Z   test_getattr_with_property (__main__.TestNN) ... expected failure (0.002s)
2022-11-23T03:19:18.9133207Z   test_global_pruning (__main__.TestNN)
2022-11-23T03:19:18.9133419Z Test that global l1 unstructured pruning over 2 parameters removes ... ok (0.004s)
2022-11-23T03:19:18.9133594Z   test_global_pruning_importance_scores (__main__.TestNN)
2022-11-23T03:19:18.9133806Z Test that global l1 unstructured pruning over 2 parameters removes ... ok (0.005s)
2022-11-23T03:19:18.9133956Z   test_grid_sample (__main__.TestNN) ... ok (6.033s)
2022-11-23T03:19:18.9134110Z   test_grid_sample_3d (__main__.TestNN) ... ok (0.468s)
2022-11-23T03:19:18.9134951Z   test_grid_sample_error_checking (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4231: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
2022-11-23T03:19:18.9135133Z   warnings.warn(
2022-11-23T03:19:18.9135232Z ok (0.049s)
2022-11-23T03:19:18.9135378Z   test_hardtanh_backward (__main__.TestNN) ... ok (0.147s)
2022-11-23T03:19:18.9135554Z   test_hardtanh_inplace_gradgrad (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.9135720Z   test_hook_backward_size (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9136880Z   test_hook_backward_writeable (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T03:19:18.9137288Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T03:19:18.9138368Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1319: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior.
2022-11-23T03:19:18.9138715Z   warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes "
2022-11-23T03:19:18.9138815Z ok (0.003s)
2022-11-23T03:19:18.9138990Z   test_hook_buffer_registration (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9139258Z   test_hook_cpp (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9139432Z   test_hook_extra_input (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9139620Z   test_hook_forward_preforward_writable (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9139774Z   test_hook_inplace (__main__.TestNN) ... ok (0.033s)
2022-11-23T03:19:18.9139940Z   test_hook_invalid_outputs (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9140117Z   test_hook_last_arg_requires_grad (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9140283Z   test_hook_no_requires_grad (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9140436Z   test_hook_non_full_warning (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.9140618Z   test_hook_parameter_registration (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9140780Z   test_hook_requires_grad (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9140957Z   test_hook_submodule_registration (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9141814Z   test_hooks (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1319: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior.
2022-11-23T03:19:18.9142145Z   warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes "
2022-11-23T03:19:18.9142245Z ok (0.027s)
2022-11-23T03:19:18.9142416Z   test_huber_loss_invalid_delta (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.9142561Z   test_identity_pruning (__main__.TestNN)
2022-11-23T03:19:18.9142733Z Test that a mask of 1s does not change forward or backward. ... ok (0.005s)
2022-11-23T03:19:18.9142903Z   test_initialization_parametrization (__main__.TestNN)
2022-11-23T03:19:18.9143109Z Test that it is possible to initialize a parametrization when it ... ok (0.008s)
2022-11-23T03:19:18.9143334Z   test_inplace_thnn (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9143486Z   test_interpolate (__main__.TestNN) ... ok (0.841s)
2022-11-23T03:19:18.9143654Z   test_interpolate_bicubic_2d (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9143831Z   test_interpolate_bicubic_2d_cuda (__main__.TestNN) ... ok (0.167s)
2022-11-23T03:19:18.9144012Z   test_interpolate_bicubic_2d_zero_dim (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9144185Z   test_interpolate_bicubic_2d_zero_dim_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9144361Z   test_interpolate_bicubic_scale_2d (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9144632Z   test_interpolate_bicubic_scale_2d_cuda (__main__.TestNN) ... ok (0.165s)
2022-11-23T03:19:18.9144833Z   test_interpolate_bicubic_scale_tuple_shared_2d (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9145036Z   test_interpolate_bicubic_scale_tuple_shared_2d_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9145237Z   test_interpolate_bicubic_scale_tuple_skewed_2d (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9145457Z   test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9145684Z   test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9145873Z   test_interpolate_bicubic_scale_tuple_skewed_2d_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9146053Z   test_interpolate_bicubic_tuple_2d (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9146252Z   test_interpolate_bicubic_tuple_2d_align_corners (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9146462Z   test_interpolate_bicubic_tuple_2d_align_corners_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9146648Z   test_interpolate_bicubic_tuple_2d_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9146819Z   test_interpolate_bilinear_2d (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9147042Z   test_interpolate_bilinear_2d_cuda (__main__.TestNN) ... ok (0.165s)
2022-11-23T03:19:18.9147232Z   test_interpolate_bilinear_2d_zero_dim (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.9147407Z   test_interpolate_bilinear_2d_zero_dim_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9147585Z   test_interpolate_bilinear_scale_2d (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9147767Z   test_interpolate_bilinear_scale_2d_cuda (__main__.TestNN) ... ok (0.165s)
2022-11-23T03:19:18.9147968Z   test_interpolate_bilinear_scale_tuple_shared_2d (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9148172Z   test_interpolate_bilinear_scale_tuple_shared_2d_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9148376Z   test_interpolate_bilinear_scale_tuple_skewed_2d (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9148601Z   test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9148835Z   test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestNN) ... ok (0.163s)
2022-11-23T03:19:18.9149021Z   test_interpolate_bilinear_scale_tuple_skewed_2d_cuda (__main__.TestNN) ... ok (0.165s)
2022-11-23T03:19:18.9149207Z   test_interpolate_bilinear_tuple_2d (__main__.TestNN) ... ok (0.042s)
2022-11-23T03:19:18.9149407Z   test_interpolate_bilinear_tuple_2d_align_corners (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9149612Z   test_interpolate_bilinear_tuple_2d_align_corners_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9149797Z   test_interpolate_bilinear_tuple_2d_cuda (__main__.TestNN) ... ok (0.165s)
2022-11-23T03:19:18.9149987Z   test_interpolate_illegal_memory_access (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9150157Z   test_interpolate_linear_1d (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9150345Z   test_interpolate_linear_1d_align_corners (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9150525Z   test_interpolate_linear_1d_align_corners_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9150702Z   test_interpolate_linear_1d_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9150880Z   test_interpolate_linear_1d_zero_dim (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.9151065Z   test_interpolate_linear_1d_zero_dim_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9151243Z   test_interpolate_linear_scale_1d (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9151440Z   test_interpolate_linear_scale_1d_align_corners (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9151644Z   test_interpolate_linear_scale_1d_align_corners_cuda (__main__.TestNN) ... ok (0.165s)
2022-11-23T03:19:18.9151884Z   test_interpolate_linear_scale_1d_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9152044Z   test_interpolate_linear_tuple_1d (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9152226Z   test_interpolate_linear_tuple_1d_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9152392Z   test_interpolate_nearest_1d (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9152571Z   test_interpolate_nearest_1d_cuda (__main__.TestNN) ... ok (0.163s)
2022-11-23T03:19:18.9152752Z   test_interpolate_nearest_1d_zero_dim (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.9152941Z   test_interpolate_nearest_1d_zero_dim_cuda (__main__.TestNN) ... ok (0.159s)
2022-11-23T03:19:18.9153115Z   test_interpolate_nearest_2d (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9153293Z   test_interpolate_nearest_2d_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9153465Z   test_interpolate_nearest_2d_launch_configs (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9153670Z   test_interpolate_nearest_2d_launch_configs_cuda (__main__.TestNN) ... ok (0.165s)
2022-11-23T03:19:18.9153850Z   test_interpolate_nearest_2d_zero_dim (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.9154035Z   test_interpolate_nearest_2d_zero_dim_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9154203Z   test_interpolate_nearest_3d (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.9154430Z   test_interpolate_nearest_3d_cuda (__main__.TestNN) ... ok (0.166s)
2022-11-23T03:19:18.9154621Z   test_interpolate_nearest_3d_zero_dim (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.9154808Z   test_interpolate_nearest_3d_zero_dim_cuda (__main__.TestNN) ... ok (0.160s)
2022-11-23T03:19:18.9154969Z   test_interpolate_nearest_scale_1d (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9155212Z   test_interpolate_nearest_scale_1d_cuda (__main__.TestNN) ... ok (0.162s)
2022-11-23T03:19:18.9155387Z   test_interpolate_nearest_scale_2d (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9155577Z   test_interpolate_nearest_scale_2d_cuda (__main__.TestNN) ... ok (0.165s)
2022-11-23T03:19:18.9155755Z   test_interpolate_nearest_scale_3d (__main__.TestNN) ... ok (0.022s)
2022-11-23T03:19:18.9155939Z   test_interpolate_nearest_scale_3d_cuda (__main__.TestNN) ... ok (0.169s)
2022-11-23T03:19:18.9156115Z   test_interpolate_nearest_tuple_1d (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9156304Z   test_interpolate_nearest_tuple_1d_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9156465Z   test_interpolate_nearest_tuple_2d (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9156649Z   test_interpolate_nearest_tuple_2d_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9156825Z   test_interpolate_nearest_tuple_3d (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.9157011Z   test_interpolate_nearest_tuple_3d_cuda (__main__.TestNN) ... ok (0.167s)
2022-11-23T03:19:18.9157183Z   test_interpolate_trilinear_3d (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.9157364Z   test_interpolate_trilinear_3d_cuda (__main__.TestNN) ... ok (0.167s)
2022-11-23T03:19:18.9157552Z   test_interpolate_trilinear_3d_zero_dim (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9157751Z   test_interpolate_trilinear_3d_zero_dim_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9157915Z   test_interpolate_trilinear_scale_3d (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.9158123Z   test_interpolate_trilinear_scale_3d_align_corners (__main__.TestNN) ... ok (0.019s)
2022-11-23T03:19:18.9158332Z   test_interpolate_trilinear_scale_3d_align_corners_cuda (__main__.TestNN) ... ok (0.166s)
2022-11-23T03:19:18.9158521Z   test_interpolate_trilinear_scale_3d_cuda (__main__.TestNN) ... ok (0.167s)
2022-11-23T03:19:18.9158705Z   test_interpolate_trilinear_tuple_3d (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9158906Z   test_interpolate_trilinear_tuple_3d_align_corners (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9159114Z   test_interpolate_trilinear_tuple_3d_align_corners_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9159370Z   test_interpolate_trilinear_tuple_3d_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9159526Z   test_kl_div_log_softmax_target (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9160464Z   test_kl_div_with_diff_type (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T03:19:18.9160587Z   warnings.warn(
2022-11-23T03:19:18.9160686Z ok (0.005s)
2022-11-23T03:19:18.9160868Z   test_kl_div_with_diff_type_log_target (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9161028Z   test_l1_loss_correct (__main__.TestNN) ... ok (12.368s)
2022-11-23T03:19:18.9161182Z   test_l1_unstructured_pruning (__main__.TestNN)
2022-11-23T03:19:18.9161389Z Test that l1 unstructured pruning actually removes the lowest ... ok (0.004s)
2022-11-23T03:19:18.9161562Z   test_l1_unstructured_pruning_with_importance_scores (__main__.TestNN)
2022-11-23T03:19:18.9161765Z Test that l1 unstructured pruning actually removes the lowest ... ok (0.004s)
2022-11-23T03:19:18.9161959Z   test_layer_norm_grads_with_create_graph_flag (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9162218Z   test_linear_autograd_device_cpu_bias_weightCOO (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9162900Z   test_linear_autograd_device_cpu_bias_weightCSC (__main__.TestNN) ... /var/lib/jenkins/workspace/test/test_nn.py:9899: UserWarning: Sparse CSC tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2022-11-23T03:19:18.9163094Z   module.weight = nn.Parameter(module.weight.to_sparse_csc())
2022-11-23T03:19:18.9163200Z ok (0.006s)
2022-11-23T03:19:18.9163403Z   test_linear_autograd_device_cpu_bias_weightCSR (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9163613Z   test_linear_autograd_device_cpu_bias_weightStrided (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9163820Z   test_linear_autograd_device_cpu_nobias_weightCOO (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9164008Z   test_linear_autograd_device_cpu_nobias_weightCSC (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9164210Z   test_linear_autograd_device_cpu_nobias_weightCSR (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9164425Z   test_linear_autograd_device_cpu_nobias_weightStrided (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9164627Z   test_linear_autograd_device_cuda_bias_weightCOO (__main__.TestNN) ... ok (0.314s)
2022-11-23T03:19:18.9164821Z   test_linear_autograd_device_cuda_bias_weightCSC (__main__.TestNN) ... ok (0.158s)
2022-11-23T03:19:18.9165012Z   test_linear_autograd_device_cuda_bias_weightCSR (__main__.TestNN) ... ok (0.158s)
2022-11-23T03:19:18.9165233Z   test_linear_autograd_device_cuda_bias_weightStrided (__main__.TestNN) ... ok (0.154s)
2022-11-23T03:19:18.9165435Z   test_linear_autograd_device_cuda_nobias_weightCOO (__main__.TestNN) ... ok (0.158s)
2022-11-23T03:19:18.9165613Z   test_linear_autograd_device_cuda_nobias_weightCSC (__main__.TestNN) ... ok (0.158s)
2022-11-23T03:19:18.9165815Z   test_linear_autograd_device_cuda_nobias_weightCSR (__main__.TestNN) ... ok (0.158s)
2022-11-23T03:19:18.9166029Z   test_linear_autograd_device_cuda_nobias_weightStrided (__main__.TestNN) ... ok (0.155s)
2022-11-23T03:19:18.9166195Z   test_linear_broadcasting (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9166347Z   test_ln_structured_pruning (__main__.TestNN)
2022-11-23T03:19:18.9166513Z Check Ln structured pruning by hand. ... ok (0.004s)
2022-11-23T03:19:18.9166696Z   test_ln_structured_pruning_importance_scores (__main__.TestNN)
2022-11-23T03:19:18.9166857Z Check Ln structured pruning by hand. ... ok (0.004s)
2022-11-23T03:19:18.9167103Z   test_load_state_dict (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.9167265Z   test_load_state_dict_BC (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9167433Z   test_load_state_dict_child (__main__.TestNN) ... ok (0.179s)
2022-11-23T03:19:18.9167602Z   test_load_state_dict_custom (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9167780Z   test_load_state_dict_invalid (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9167958Z   test_load_state_dict_ref_cycle (__main__.TestNN) ... ok (0.290s)
2022-11-23T03:19:18.9168125Z   test_load_state_dict_type (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9168263Z   test_log_softmax_cpu (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9168426Z   test_log_softmax_dim0 (__main__.TestNN) ... ok (0.031s)
2022-11-23T03:19:18.9168593Z   test_log_softmax_dim0_cuda (__main__.TestNN) ... ok (0.165s)
2022-11-23T03:19:18.9168748Z   test_log_softmax_dim3 (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9168920Z   test_log_softmax_dim3_cuda (__main__.TestNN) ... ok (0.162s)
2022-11-23T03:19:18.9169085Z   test_log_softmax_lastdim (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9169253Z   test_log_softmax_lastdim_cuda (__main__.TestNN) ... ok (0.162s)
2022-11-23T03:19:18.9169416Z   test_log_softmax_scalar (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.9169632Z   test_log_softmax_scalar_cuda (__main__.TestNN) ... ok (0.154s)
2022-11-23T03:19:18.9169803Z   test_log_softmax_spatial (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9169973Z   test_log_softmax_spatial_cuda (__main__.TestNN) ... ok (0.161s)
2022-11-23T03:19:18.9170156Z   test_log_softmax_spatial_special (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9170342Z   test_log_softmax_spatial_special_cuda (__main__.TestNN) ... ok (0.164s)
2022-11-23T03:19:18.9170842Z   test_loss_equal_input_target_shape (__main__.TestNN) ... /var/lib/jenkins/workspace/test/test_nn.py:6136: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9171082Z   'mse_loss': lambda x, y: F.mse_loss(x, y),
2022-11-23T03:19:18.9171514Z /var/lib/jenkins/workspace/test/test_nn.py:6137: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9171714Z   'l1_loss': lambda x, y: F.l1_loss(x, y),
2022-11-23T03:19:18.9172120Z /var/lib/jenkins/workspace/test/test_nn.py:6138: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9172351Z   'smooth_l1_loss': lambda x, y: F.smooth_l1_loss(x, y),
2022-11-23T03:19:18.9172772Z /var/lib/jenkins/workspace/test/test_nn.py:6139: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9172981Z   'huber_loss': lambda x, y: F.huber_loss(x, y),
2022-11-23T03:19:18.9173779Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T03:19:18.9173895Z   warnings.warn(
2022-11-23T03:19:18.9173993Z ok (0.029s)
2022-11-23T03:19:18.9174192Z   test_margin_ranking_loss_margin_no_reduce (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9174371Z   test_margin_ranking_loss_no_reduce (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9174609Z   test_module_apply_inplace_op (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9174754Z   test_module_backcompat (__main__.TestNN) ... ok (0.189s)
2022-11-23T03:19:18.9174918Z   test_module_to_argparse (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9175065Z   test_modules (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9175234Z   test_mse_loss_size_warning (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9175442Z   test_multihead_attention_average_attn_weights_False (__main__.TestNN) ... ok (3.617s)
2022-11-23T03:19:18.9175652Z   test_multihead_attention_average_attn_weights_True (__main__.TestNN) ... ok (3.637s)
2022-11-23T03:19:18.9175829Z   test_multihead_attn_3d_attn_mask (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.9176297Z   test_multihead_attn_fast_path_invalid_shape (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9176478Z   test_multihead_attn_invalid_shape (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9177001Z   test_multihead_attn_nested_tensor_outside_fast_path (__main__.TestNN) ... /var/lib/jenkins/workspace/test/test_nn.py:5598: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2022-11-23T03:19:18.9177180Z   nt = torch.nested.nested_tensor([torch.randn(4, 4)])
2022-11-23T03:19:18.9177401Z ok (0.005s)
2022-11-23T03:19:18.9177583Z   test_multihead_attn_no_bias (__main__.TestNN) ... ok (0.001s)
2022-11-23T03:19:18.9177789Z   test_multimarginloss_1d_input_0d_target_no_reduce (__main__.TestNN) ... ok (0.013s)
2022-11-23T03:19:18.9179103Z   test_multimarginloss_1d_input_0d_target_no_reduce_cuda (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.9179341Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.9179441Z ok (0.161s)
2022-11-23T03:19:18.9179635Z   test_multiple_inputs_parametrization (__main__.TestNN) ... ok (0.011s)
2022-11-23T03:19:18.9179789Z   test_multiple_pruning_calls (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9179946Z   test_named_children (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9180102Z   test_named_modules (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9180294Z   test_named_parameters_remove_duplicate (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9180467Z   test_nested_tensor_from_mask (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9180649Z   test_nested_tensor_from_mask_error (__main__.TestNN) ... ok (0.025s)
2022-11-23T03:19:18.9180812Z   test_new_spectral_norm (__main__.TestNN) ... ok (0.076s)
2022-11-23T03:19:18.9180979Z   test_new_spectral_norm_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9181137Z   test_new_spectral_norm_forward (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9181321Z   test_new_spectral_norm_load_state_dict (__main__.TestNN) ... ok (0.030s)
2022-11-23T03:19:18.9181469Z   test_no_grad (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9181636Z   test_non_leaf_parameters (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9181785Z   test_normalize (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.9181947Z   test_orthogonal_errors (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9182131Z   test_orthogonal_parametrization (__main__.TestNN) ... ok (0.302s)
2022-11-23T03:19:18.9182305Z   test_overwrite_module_params_on_conversion (__main__.TestNN) ... ok (0.021s)
2022-11-23T03:19:18.9182541Z   test_pack_sequence_batch_sizes_throw (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9182815Z   test_pad_scalar_error (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.9182968Z   test_padding_list (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.9183131Z   test_pairwise_distance (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9183300Z   test_parameter_assignment (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9183486Z   test_parameterlistdict_pickle (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9183685Z   test_parameterlistdict_setting_attributes (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9183852Z   test_parameters_and_named_parameters (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9184018Z   test_parameters_to_vector (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9184195Z   test_parametrization_same_training_mode (__main__.TestNN)
2022-11-23T03:19:18.9184404Z Test training mode updated on parametrization registration ... ok (0.002s)
2022-11-23T03:19:18.9184551Z   test_parse_to (__main__.TestNN) ... ok (0.001s)
2022-11-23T03:19:18.9185631Z   test_partial_flat_weights (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/rnn.py:776: UserWarning: RNN module weights are not part of single contiguous chunk of memory. This means they need to be compacted at every call, possibly greatly increasing memory usage. To compact weights again call flatten_parameters(). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/cudnn/RNN.cpp:982.)
2022-11-23T03:19:18.9185839Z   result = _VF.lstm(input, hx, self._flat_weights, self.bias, self.num_layers,
2022-11-23T03:19:18.9185939Z ok (0.005s)
2022-11-23T03:19:18.9186083Z   test_pdist (__main__.TestNN) ... ok (0.086s)
2022-11-23T03:19:18.9186280Z   test_pdist_cpu_gradgrad_unimplemented (__main__.TestNN) ... expected failure (0.010s)
2022-11-23T03:19:18.9186497Z   test_pdist_cuda_gradgrad_unimplemented (__main__.TestNN) ... expected failure (0.158s)
2022-11-23T03:19:18.9186657Z   test_pdist_empty_col (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.9186822Z   test_pdist_empty_row (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.9186973Z   test_pdist_large (__main__.TestNN) ... ok (0.020s)
2022-11-23T03:19:18.9187102Z   test_pdist_zeros (__main__.TestNN)
2022-11-23T03:19:18.9187270Z Test that grad is still valid when dist is 0 ... ok (0.043s)
2022-11-23T03:19:18.9187424Z   test_pixel_shuffle_nhwc_cpu (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9187599Z   test_pixel_shuffle_unshuffle (__main__.TestNN) ... ok (0.797s)
2022-11-23T03:19:18.9188087Z   test_pointwise_loss_broadcast (__main__.TestNN) ... /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9188331Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9188757Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9188990Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9189419Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9189651Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9190077Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9190375Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9190792Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9191022Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9191427Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9191660Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9192078Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9192307Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9192780Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9193016Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9193428Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9193654Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9194068Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9194298Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9194722Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9194953Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9195352Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9195587Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9195997Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9196227Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9196642Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9196865Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9197276Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9197560Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9197977Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9198206Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9198618Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9198844Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9199243Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9199477Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9199943Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9200174Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9200590Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9200819Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9201233Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9201460Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9201885Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9202114Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9202528Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9202763Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9203164Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9203394Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9203805Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9204031Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9204440Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9204758Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9205176Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9205402Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9205814Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9206049Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9206460Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9206803Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9207210Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9207440Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9207850Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9208082Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9208498Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9208728Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9209141Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9209366Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9209777Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9210008Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9210427Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9210656Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9211054Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9211347Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T03:19:18.9211756Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9211996Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9212406Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9212635Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9213048Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9213284Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9213750Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9213983Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9214393Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9214653Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9215050Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9215284Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9215703Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9215927Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9217005Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9217432Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9218178Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9218433Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9218845Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9219061Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9219474Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9219877Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9220276Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9220499Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9220910Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9221132Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9221543Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9221769Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9222244Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9222476Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9222887Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9223107Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9223520Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9223743Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9224140Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9224364Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9224779Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9225006Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9225420Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9225639Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9226048Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9226268Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9226677Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9226951Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9227365Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9227586Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9227979Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9228199Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9228610Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9228829Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9229302Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9229528Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9229940Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9230168Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9230581Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9230801Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9231209Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9231429Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9231820Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9232045Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9232455Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9232678Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9233087Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9233307Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9233770Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9233988Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9234463Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9234684Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9235095Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9235318Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9235759Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9235991Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9236398Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9236654Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9237065Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9237326Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9237743Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9237998Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9238411Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9238671Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9239090Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9239351Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9239749Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9240005Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9240420Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9240734Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9241156Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9241414Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9241827Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9242080Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9242504Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9242758Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9243221Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9243483Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9243894Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9244135Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9244553Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9244814Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9245226Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9245484Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9245899Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9246158Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9246576Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9246833Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9247243Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9247573Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9247984Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9248223Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9248634Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9248888Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9249298Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9249558Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9250033Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9250296Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9250710Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9250963Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9251378Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9251631Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9252044Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9252299Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9252694Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9252951Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9253367Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9253618Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9254032Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9254282Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9254692Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9255018Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9255431Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9255684Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9256365Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9256633Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9257027Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9257433Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9257862Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9258122Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9258540Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9258798Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9259213Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9259466Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9259877Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9260128Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9260545Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9260799Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T03:19:18.9261214Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9261438Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9261854Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9262200Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9262610Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9262848Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9263259Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9263494Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9263901Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9264144Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9264607Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9264856Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9265268Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9265495Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9265909Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9266149Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9266559Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9266797Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9267209Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9267450Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9267871Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9268104Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9268513Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9268751Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9269257Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9269480Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9269902Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9270141Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9270553Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9270794Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9271205Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9271507Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9271924Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9272163Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9272577Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9272817Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9273232Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9273452Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9273863Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9274096Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9274514Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9274746Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9275162Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9275395Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9275802Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9276099Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9276517Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9276752Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9277160Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9277377Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9277787Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9278024Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9278481Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9278728Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9279146Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9279385Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9279801Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9280040Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9280458Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9280691Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9281104Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9281349Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9281751Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9281996Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9282407Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9282754Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9283165Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9283469Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9283880Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9284115Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9284531Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T03:19:18.9284770Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T03:19:18.9284874Z ok (0.081s)
2022-11-23T03:19:18.9285061Z   test_pointwise_loss_target_grad_none_reduction (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9285250Z   test_poisson_nll_loss_reduction_modes (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9285494Z   test_projections_errors_on_gru_and_rnn (__main__.TestNN) ... ok (0.001s)
2022-11-23T03:19:18.9285686Z   test_projections_lstm_args_check (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.9286026Z   test_projections_lstm_check_device (__main__.TestNN) ... skip: multi-GPU not supported (0.001s)
2022-11-23T03:19:18.9286220Z   test_projections_lstm_initial_hidden_state (__main__.TestNN) ... ok (0.029s)
2022-11-23T03:19:18.9286361Z   test_prune (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9286530Z   test_prune_importance_scores (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9286705Z   test_prune_importance_scores_mimic_default (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9286876Z   test_pruning_container (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9287044Z   test_pruning_container_compute_mask (__main__.TestNN)
2022-11-23T03:19:18.9287242Z Test `compute_mask` of pruning container with a known `t` and ... ok (0.005s)
2022-11-23T03:19:18.9287395Z   test_pruning_id_consistency (__main__.TestNN)
2022-11-23T03:19:18.9287691Z Test that pruning doesn't change the id of the parameters, which ... ok (0.002s)
2022-11-23T03:19:18.9287834Z   test_pruning_rollback (__main__.TestNN)
2022-11-23T03:19:18.9288016Z Test that if something fails when the we try to compute the mask, ... ok (0.004s)
2022-11-23T03:19:18.9288201Z   test_pruning_serialization_model (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9288389Z   test_pruning_serialization_state_dict (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9288545Z   test_random_pruning (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9288696Z   test_random_pruning_0perc (__main__.TestNN)
2022-11-23T03:19:18.9288893Z Test that a mask of 1s does not change forward or backward. ... ok (0.006s)
2022-11-23T03:19:18.9289048Z   test_random_pruning_forward (__main__.TestNN)
2022-11-23T03:19:18.9289201Z check forward with mask (by hand). ... ok (0.004s)
2022-11-23T03:19:18.9289336Z   test_random_pruning_new_weight (__main__.TestNN)
2022-11-23T03:19:18.9289531Z Test that module.name now contains a pruned version of ... ok (0.004s)
2022-11-23T03:19:18.9289678Z   test_random_pruning_orig (__main__.TestNN)
2022-11-23T03:19:18.9289951Z Test that original tensor is correctly stored in 'orig' ... ok (0.004s)
2022-11-23T03:19:18.9290122Z   test_random_pruning_pickle (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9290268Z   test_random_pruning_sizes (__main__.TestNN)
2022-11-23T03:19:18.9290473Z Test that the new parameters and buffers created by the pruning ... ok (0.005s)
2022-11-23T03:19:18.9290638Z   test_random_structured_pruning_amount (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9290905Z   test_register_and_remove_buffer_parametrization (__main__.TestNN)
2022-11-23T03:19:18.9291123Z Test that it is possible to add and remove parametrizations on buffers ... ok (0.005s)
2022-11-23T03:19:18.9291313Z   test_register_and_remove_nested_parametrization (__main__.TestNN)
2022-11-23T03:19:18.9291503Z Test that it is possible to nest the parametrizations ... ok (0.005s)
2022-11-23T03:19:18.9291684Z   test_register_and_remove_parametrization (__main__.TestNN)
2022-11-23T03:19:18.9291877Z Test that it is possible to add a few parametrizations ... ok (0.033s)
2022-11-23T03:19:18.9292085Z   test_register_buffer_allows_overwriting_with_same_name (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9292267Z   test_register_buffer_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9292475Z   test_register_buffer_raises_error_if_name_is_not_string (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9292671Z   test_register_buffer_raises_error_if_not_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T03:19:18.9292893Z   test_register_parameter_allows_overwriting_with_same_name (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9293098Z   test_register_parameter_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9293311Z   test_register_parameter_raises_error_if_name_is_not_string (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9293539Z   test_relu_inplace_on_view (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9293682Z   test_remove_pruning (__main__.TestNN)
2022-11-23T03:19:18.9293865Z `prune.remove` removes the hook and the reparametrization ... ok (0.005s)
2022-11-23T03:19:18.9294082Z   test_remove_pruning_exception (__main__.TestNN)
2022-11-23T03:19:18.9294278Z Removing from an unpruned tensor throws an assertion error ... ok (0.002s)
2022-11-23T03:19:18.9294428Z   test_remove_pruning_forward (__main__.TestNN)
2022-11-23T03:19:18.9294627Z Remove pruning and check forward is unchanged from previous ... ok (0.003s)
2022-11-23T03:19:18.9294772Z   test_repr (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9294928Z   test_requires_grad_ (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9295080Z   test_rnn_args_check (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.9295380Z   test_rnn_check_device (__main__.TestNN) ... skip: multi-GPU not supported (0.001s)
2022-11-23T03:19:18.9295552Z   test_rnn_initial_hidden_state (__main__.TestNN) ... ok (0.024s)
2022-11-23T03:19:18.9295704Z   test_rnn_pruning (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9295861Z   test_rnn_weight_norm (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9296505Z   test_serialization_parametrization (__main__.TestNN)
2022-11-23T03:19:18.9296911Z Test that it is possible to serialize a parametrized model via state_dict ... ok (0.010s)
2022-11-23T03:19:18.9297744Z   test_share_memory (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:19:18.9297895Z   warnings.warn(message, UserWarning)
2022-11-23T03:19:18.9298545Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:19:18.9298669Z   warnings.warn(message, UserWarning)
2022-11-23T03:19:18.9299305Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:19:18.9299445Z   warnings.warn(message, UserWarning)
2022-11-23T03:19:18.9300085Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:19:18.9300382Z   warnings.warn(message, UserWarning)
2022-11-23T03:19:18.9301015Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:19:18.9301158Z   warnings.warn(message, UserWarning)
2022-11-23T03:19:18.9301786Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:19:18.9301923Z   warnings.warn(message, UserWarning)
2022-11-23T03:19:18.9302550Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:19:18.9302695Z   warnings.warn(message, UserWarning)
2022-11-23T03:19:18.9303379Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:19:18.9303528Z   warnings.warn(message, UserWarning)
2022-11-23T03:19:18.9303629Z ok (0.003s)
2022-11-23T03:19:18.9303812Z   test_smoothl1loss_intergral_target (__main__.TestNN) ... ok (0.028s)
2022-11-23T03:19:18.9304014Z   test_smoothl1loss_negative_beta_not_supported (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.9304166Z   test_softmax_cpu (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9304336Z   test_softmax_functional_dim0 (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9304565Z   test_softmax_functional_dim0_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.149s)
2022-11-23T03:19:18.9304719Z   test_softmax_functional_dim3 (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9304942Z   test_softmax_functional_dim3_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.147s)
2022-11-23T03:19:18.9305120Z   test_softmax_functional_scalar (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9305344Z   test_softmax_functional_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.144s)
2022-11-23T03:19:18.9305503Z   test_softmax_lastdim (__main__.TestNN) ... ok (0.015s)
2022-11-23T03:19:18.9305668Z   test_softmax_lastdim_cuda (__main__.TestNN) ... ok (0.159s)
2022-11-23T03:19:18.9305837Z   test_softmax_lastdim_dtype (__main__.TestNN) ... ok (0.014s)
2022-11-23T03:19:18.9306056Z   test_softmax_lastdim_dtype_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.144s)
2022-11-23T03:19:18.9306196Z   test_softmax_spatial (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9306366Z   test_softmax_spatial_cuda (__main__.TestNN) ... ok (0.163s)
2022-11-23T03:19:18.9306535Z   test_softmax_spatial_dtype (__main__.TestNN) ... ok (0.016s)
2022-11-23T03:19:18.9306753Z   test_softmax_spatial_dtype_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.146s)
2022-11-23T03:19:18.9306929Z   test_softmax_spatial_special (__main__.TestNN) ... ok (0.018s)
2022-11-23T03:19:18.9307113Z   test_softmax_spatial_special_cuda (__main__.TestNN) ... ok (0.165s)
2022-11-23T03:19:18.9307256Z   test_softmin (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9307986Z   test_spectral_norm (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:19:18.9308129Z   warnings.warn(message, UserWarning)
2022-11-23T03:19:18.9308741Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:19:18.9308991Z   warnings.warn(message, UserWarning)
2022-11-23T03:19:18.9309092Z ok (0.048s)
2022-11-23T03:19:18.9309257Z   test_spectral_norm_dim (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9309430Z   test_spectral_norm_forward (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9309610Z   test_spectral_norm_load_state_dict (__main__.TestNN) ... ok (0.031s)
2022-11-23T03:19:18.9309776Z   test_spectral_norm_pickle (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9309924Z   test_state_dict (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9310089Z   test_sync_batchnorm_accuracy_cuda (__main__.TestNN) ... ok (0.264s)
2022-11-23T03:19:18.9310268Z   test_sync_batchnorm_backward_elemt (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9310433Z   test_threshold_bfloat16 (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9310586Z   test_threshold_int (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9310720Z   test_to (__main__.TestNN) ... ok (0.004s)
2022-11-23T03:19:18.9310898Z   test_train_errors_for_invalid_mode (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9311078Z   test_transfer_parametrizations_and_params (__main__.TestNN)
2022-11-23T03:19:18.9311353Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.007s)
2022-11-23T03:19:18.9311575Z   test_transfer_parametrizations_and_params_many_to_one (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9311778Z   test_transfer_parametrizations_and_params_right_inverse (__main__.TestNN)
2022-11-23T03:19:18.9312013Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.004s)
2022-11-23T03:19:18.9312212Z   test_transfer_parametrizations_and_params_single_param (__main__.TestNN)
2022-11-23T03:19:18.9312451Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.005s)
2022-11-23T03:19:18.9312621Z   test_transformer_args_check (__main__.TestNN) ... ok (0.321s)
2022-11-23T03:19:18.9312800Z   test_transformer_layer_args_check (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9312952Z   test_transformerdecoder (__main__.TestNN) ... ok (0.236s)
2022-11-23T03:19:18.9313141Z   test_transformerdecoderlayer (__main__.TestNN) ... ok (0.041s)
2022-11-23T03:19:18.9313329Z   test_transformerdecoderlayer_gelu (__main__.TestNN) ... ok (0.053s)
2022-11-23T03:19:18.9313494Z   test_triplet_margin_loss (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.9313672Z   test_triplet_margin_loss_no_reduce (__main__.TestNN) ... ok (0.007s)
2022-11-23T03:19:18.9313923Z   test_triplet_margin_loss_swap (__main__.TestNN) ... ok (0.009s)
2022-11-23T03:19:18.9314161Z   test_triplet_margin_loss_swap_no_reduce (__main__.TestNN) ... ok (0.008s)
2022-11-23T03:19:18.9314304Z   test_type (__main__.TestNN) ... ok (0.006s)
2022-11-23T03:19:18.9314456Z   test_type_before_parametrizations (__main__.TestNN)
2022-11-23T03:19:18.9314671Z Test that type_before_parametrizations always retrieves original type ... ok (0.002s)
2022-11-23T03:19:18.9315563Z   test_unflatten (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/_tensor.py:1093: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1787.)
2022-11-23T03:19:18.9315729Z   return super(Tensor, self).refine_names(names)
2022-11-23T03:19:18.9315828Z ok (0.003s)
2022-11-23T03:19:18.9315999Z   test_unflatten_invalid_arg (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9316161Z   test_unfold_invalid_arg (__main__.TestNN) ... ok (0.017s)
2022-11-23T03:19:18.9316337Z   test_unstructured_pruning_same_magnitude (__main__.TestNN)
2022-11-23T03:19:18.9316607Z Since it may happen that the tensor to prune has entries with the ... ok (0.002s)
2022-11-23T03:19:18.9316800Z   test_upsamplingBilinear2d_spatial_invariance (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9316973Z   test_upsamplingLinear1d (__main__.TestNN) ... ok (0.033s)
2022-11-23T03:19:18.9317177Z   test_upsamplingLinear1d_spatial_invariance (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9317359Z   test_upsamplingTrilinear3d (__main__.TestNN) ... ok (0.087s)
2022-11-23T03:19:18.9317567Z   test_upsamplingTrilinear3d_spatial_invariance (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9317735Z   test_upsampling_bfloat16 (__main__.TestNN) ... ok (0.027s)
2022-11-23T03:19:18.9317933Z   test_upsampling_not_recompute_scale_factor (__main__.TestNN) ... ok (0.035s)
2022-11-23T03:19:18.9318092Z   test_upsampling_small_scale (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9318246Z   test_validate_pruning_amount (__main__.TestNN)
2022-11-23T03:19:18.9318438Z Tests the second util function that validates the pruning ... ok (0.002s)
2022-11-23T03:19:18.9318602Z   test_validate_pruning_amount_init (__main__.TestNN)
2022-11-23T03:19:18.9318791Z Test the first util function that validates the pruning ... ok (0.002s)
2022-11-23T03:19:18.9318958Z   test_vector_to_parameters (__main__.TestNN) ... ok (0.002s)
2022-11-23T03:19:18.9319111Z   test_weight_norm (__main__.TestNN) ... ok (0.010s)
2022-11-23T03:19:18.9319328Z   test_weight_norm_pickle (__main__.TestNN) ... ok (0.003s)
2022-11-23T03:19:18.9319465Z   test_zero_grad (__main__.TestNN) ... ok (0.005s)
2022-11-23T03:19:18.9319666Z   test_BatchNorm_empty_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.177s)
2022-11-23T03:19:18.9319874Z   test_Bilinear_empty_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:19:18.9320073Z   test_CTCLoss_cudnn_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.230s)
2022-11-23T03:19:18.9320280Z   test_CTCLoss_empty_target_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:19:18.9320542Z   test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.153s)
2022-11-23T03:19:18.9320794Z   test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.153s)
2022-11-23T03:19:18.9321044Z   test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.153s)
2022-11-23T03:19:18.9321275Z   test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.153s)
2022-11-23T03:19:18.9321532Z   test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.152s)
2022-11-23T03:19:18.9321784Z   test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.153s)
2022-11-23T03:19:18.9323121Z   test_GRU_grad_and_gradgrad_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/engine.cpp:1127.)
2022-11-23T03:19:18.9323361Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.9323464Z ok (0.212s)
2022-11-23T03:19:18.9323667Z   test_GroupNorm_empty_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.154s)
2022-11-23T03:19:18.9323874Z   test_GroupNorm_general_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.169s)
2022-11-23T03:19:18.9324075Z   test_GroupNorm_numeric_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (1.084s)
2022-11-23T03:19:18.9324317Z   test_GroupNorm_raises_error_if_one_value_per_group_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.212s)
2022-11-23T03:19:18.9324694Z   test_InstanceNorm1d_general_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.162s)
2022-11-23T03:19:18.9324883Z   test_InstanceNorm2d_general_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.158s)
2022-11-23T03:19:18.9325085Z   test_InstanceNorm3d_general_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.157s)
2022-11-23T03:19:18.9325311Z   test_LSTM_grad_and_gradgrad_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... ok (0.226s)
2022-11-23T03:19:18.9325514Z   test_LayerNorm_general_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.229s)
2022-11-23T03:19:18.9325714Z   test_LayerNorm_numeric_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.694s)
2022-11-23T03:19:18.9325934Z   test_LocalResponseNorm_empty_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.212s)
2022-11-23T03:19:18.9327285Z   test_MarginLoss_empty_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [0, 10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.9327534Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.9327638Z ok (0.183s)
2022-11-23T03:19:18.9328910Z   test_MarginLoss_empty_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [0, 10]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:19:18.9329140Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:19:18.9329238Z ok (0.179s)
2022-11-23T03:19:18.9329438Z   test_ReflectionPad2d_large_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (1.238s)
2022-11-23T03:19:18.9329650Z   test_ReflectionPad3d_large_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.482s)
2022-11-23T03:19:18.9329873Z   test_ReflectionPad_empty_cuda_complex64 (__main__.TestNNDeviceTypeCUDA) ... ok (0.181s)
2022-11-23T03:19:18.9330096Z   test_ReflectionPad_empty_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.172s)
2022-11-23T03:19:18.9330313Z   test_ReplicationPad1d_large_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.163s)
2022-11-23T03:19:18.9330526Z   test_ReplicationPad2d_large_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.385s)
2022-11-23T03:19:18.9330732Z   test_ReplicationPad3d_large_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (7.302s)
2022-11-23T03:19:18.9330959Z   test_ReplicationPad_empty_cuda_complex128 (__main__.TestNNDeviceTypeCUDA) ... ok (0.200s)
2022-11-23T03:19:18.9331163Z   test_ReplicationPad_empty_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... ok (0.178s)
2022-11-23T03:19:18.9331399Z   test_TransformerDecoderLayer_empty_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.304s)
2022-11-23T03:19:18.9331618Z   test_TransformerDecoder_empty_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.483s)
2022-11-23T03:19:18.9331847Z   test_TransformerEncoderLayer_empty_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.391s)
2022-11-23T03:19:18.9332062Z   test_TransformerEncoder_empty_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.388s)
2022-11-23T03:19:18.9332264Z   test_Transformer_empty_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (1.409s)
2022-11-23T03:19:18.9332457Z   test_Unfold_empty_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.230s)
2022-11-23T03:19:18.9332785Z   test_activations_bfloat16_cpu_cuda (__main__.TestNNDeviceTypeCUDA) ... skip: Only runs on cpu (0.148s)
2022-11-23T03:19:18.9332974Z   test_activations_bfloat16_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.158s)
2022-11-23T03:19:18.9333177Z   test_affine_2d_rotate0_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:19:18.9333379Z   test_affine_2d_rotate45_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:19:18.9333576Z   test_affine_2d_rotate90_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.179s)
2022-11-23T03:19:18.9333785Z   test_affine_2d_rotateRandom_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.782s)
2022-11-23T03:19:18.9333994Z   test_affine_3d_rotateRandom_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (11.893s)
2022-11-23T03:19:18.9334205Z   test_batchnorm_affine_cuda_bfloat16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.160s)
2022-11-23T03:19:18.9334414Z   test_batchnorm_affine_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.158s)
2022-11-23T03:19:18.9334636Z   test_batchnorm_affine_mixed_cuda_bfloat16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.153s)
2022-11-23T03:19:18.9334836Z   test_batchnorm_affine_mixed_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.154s)
2022-11-23T03:19:18.9335044Z   test_batchnorm_eval_cuda_bfloat16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.165s)
2022-11-23T03:19:18.9335295Z   test_batchnorm_eval_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.165s)
2022-11-23T03:19:18.9335520Z   test_batchnorm_eval_mixed_cuda_bfloat16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.165s)
2022-11-23T03:19:18.9335733Z   test_batchnorm_eval_mixed_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.165s)
2022-11-23T03:19:18.9335932Z   test_batchnorm_grad_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.298s)
2022-11-23T03:19:18.9336686Z   test_batchnorm_large_batch_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:19:18.9337056Z   test_batchnorm_large_batch_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:19:18.9337429Z   test_batchnorm_simple_average_cuda_bfloat16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.169s)
2022-11-23T03:19:18.9337811Z   test_batchnorm_simple_average_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.168s)
2022-11-23T03:19:18.9338229Z   test_batchnorm_simple_average_mixed_cuda_bfloat16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.166s)
2022-11-23T03:19:18.9338540Z   test_batchnorm_simple_average_mixed_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.168s)
2022-11-23T03:19:18.9338754Z   test_batchnorm_update_stats_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.157s)
2022-11-23T03:19:18.9338976Z   test_clip_grad_norm_error_if_nonfinite_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.614s)
2022-11-23T03:19:18.9339236Z   test_clip_grad_norm_multi_device_cuda (__main__.TestNNDeviceTypeCUDA) ... skip: fewer than 2 devices detected (0.148s)
2022-11-23T03:19:18.9340412Z   test_conv_empty_input_cuda_complex128 (__main__.TestNNDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1108: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected.
2022-11-23T03:19:18.9340532Z   warnings.warn(
2022-11-23T03:19:18.9341492Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1108: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected.
2022-11-23T03:19:18.9341606Z   warnings.warn(
2022-11-23T03:19:18.9341689Z ok (0.157s)
2022-11-23T03:19:18.9342079Z   test_conv_empty_input_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.153s)
2022-11-23T03:19:18.9342287Z   test_conv_empty_input_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.153s)
2022-11-23T03:19:18.9342487Z   test_conv_empty_input_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... ok (0.153s)
2022-11-23T03:19:18.9342757Z   test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.184s)
2022-11-23T03:19:18.9342987Z   test_cross_entropy_label_smoothing_errors_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.156s)
2022-11-23T03:19:18.9343237Z   test_cross_entropy_label_smoothing_weight_ignore_indices_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.200s)
2022-11-23T03:19:18.9343473Z   test_cross_entropy_label_smoothing_with_probs_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.174s)
2022-11-23T03:19:18.9343734Z   test_cross_entropy_large_tensor_reduction_mean_cuda (__main__.TestNNDeviceTypeCUDA) ... skip: Insufficient cuda memory (0.294s)
2022-11-23T03:19:18.9344020Z   test_cross_entropy_large_tensor_reduction_none_cuda (__main__.TestNNDeviceTypeCUDA) ... skip: Insufficient cuda memory (0.292s)
2022-11-23T03:19:18.9344294Z   test_cross_entropy_large_tensor_reduction_sum_cuda (__main__.TestNNDeviceTypeCUDA) ... skip: Insufficient cuda memory (0.293s)
2022-11-23T03:19:18.9344610Z   test_cross_entropy_loss_index_target_unit_weights_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.159s)
2022-11-23T03:19:18.9344844Z   test_cross_entropy_loss_one_hot_target_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.163s)
2022-11-23T03:19:18.9345090Z   test_cross_entropy_loss_prob_target_all_reductions_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.172s)
2022-11-23T03:19:18.9345373Z   test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.148s)
2022-11-23T03:19:18.9345651Z   test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:19:18.9345928Z   test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:19:18.9346203Z   test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:19:18.9346461Z   test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:19:18.9346740Z   test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:19:18.9346979Z   test_cross_entropy_loss_prob_target_unit_weights_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.160s)
2022-11-23T03:19:18.9347240Z   test_ctc_loss_cuda (__main__.TestNNDeviceTypeCUDA) ... skip: Test is flaky on Linux and Windows, typical error message:
2022-11-23T03:19:18.9347448Z                           https://github.com/pytorch/pytorch/issues/34870 (0.147s)
2022-11-23T03:19:18.9347648Z   test_ctc_loss_cudnn_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:19:18.9347839Z   test_device_mask_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:19:18.9348043Z   test_elu_inplace_overlap_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.160s)
2022-11-23T03:19:18.9348263Z   test_elu_inplace_with_neg_alpha_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.163s)
2022-11-23T03:19:18.9348427Z   test_fold_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.240s)
2022-11-23T03:19:18.9348648Z   test_glu_bfloat16_cuda (__main__.TestNNDeviceTypeCUDA) ... skip: Only runs on cpu (0.148s)
2022-11-23T03:19:18.9349504Z   test_grid_sample_large_cuda (__main__.TestNNDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4231: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
2022-11-23T03:19:18.9349686Z   warnings.warn(
2022-11-23T03:19:18.9350408Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4293: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
2022-11-23T03:19:18.9350523Z   warnings.warn(
2022-11-23T03:19:18.9351227Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4231: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
2022-11-23T03:19:18.9351343Z   warnings.warn(
2022-11-23T03:19:18.9352044Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4293: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
2022-11-23T03:19:18.9352159Z   warnings.warn(
2022-11-23T03:19:18.9352945Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4231: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
2022-11-23T03:19:18.9353048Z   warnings.warn(
2022-11-23T03:19:18.9353749Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4293: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
2022-11-23T03:19:18.9353857Z   warnings.warn(
2022-11-23T03:19:18.9354551Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4231: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
2022-11-23T03:19:18.9354666Z   warnings.warn(
2022-11-23T03:19:18.9355365Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4293: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
2022-11-23T03:19:18.9355474Z   warnings.warn(
2022-11-23T03:19:18.9356166Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4231: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
2022-11-23T03:19:18.9356274Z   warnings.warn(
2022-11-23T03:19:18.9356372Z ok (0.159s)
2022-11-23T03:19:18.9356645Z   test_grid_sample_large_index_2d_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... skip: Insufficient cuda:0 memory (0.295s)
2022-11-23T03:19:18.9356897Z   test_grid_sample_large_index_2d_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... skip: Insufficient cuda:0 memory (0.295s)
2022-11-23T03:19:18.9357158Z   test_grid_sample_large_index_3d_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... skip: Insufficient cuda:0 memory (0.293s)
2022-11-23T03:19:18.9357417Z   test_grid_sample_large_index_3d_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... skip: Insufficient cuda:0 memory (0.294s)
2022-11-23T03:19:18.9357639Z   test_grid_sample_nan_inf_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:19:18.9357854Z   test_grid_sample_nan_inf_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... ok (0.152s)
2022-11-23T03:19:18.9358094Z   test_groupnorm_nhwc_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... skip: Only runs on cpu (0.149s)
2022-11-23T03:19:18.9358328Z   test_groupnorm_nhwc_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... skip: Only runs on cpu (0.148s)
2022-11-23T03:19:18.9358603Z   test_gumbel_softmax_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.174s)
2022-11-23T03:19:18.9358812Z   test_gumbel_softmax_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.175s)
2022-11-23T03:19:18.9358999Z   test_gumbel_softmax_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... ok (0.175s)
2022-11-23T03:19:18.9359207Z   test_hardsigmoid_grad_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.153s)
2022-11-23T03:19:18.9359406Z   test_hardswish_grad_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.155s)
2022-11-23T03:19:18.9359620Z   test_hardswish_inplace_overlap_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.156s)
2022-11-23T03:19:18.9359897Z   test_instancenorm_raises_error_for_single_spatial_element_during_training_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:19:18.9360162Z   test_instancenorm_raises_error_if_less_than_one_value_per_channel_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.148s)
2022-11-23T03:19:18.9360377Z   test_invalid_reduction_strings_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.156s)
2022-11-23T03:19:18.9360588Z   test_layernorm_half_precision_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:19:18.9360780Z   test_layernorm_weight_bias_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:19:18.9361054Z   test_leaky_relu_inplace_overlap_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.159s)
2022-11-23T03:19:18.9361286Z   test_leaky_relu_inplace_with_neg_slope_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.166s)
2022-11-23T03:19:18.9361509Z   test_leaky_relu_inplace_with_zero_slope_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:19:18.9361708Z   test_linear_empty_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:19:18.9361915Z   test_log_softmax_big_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:19:18.9362120Z   test_log_softmax_big_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:19:18.9362321Z   test_logsigmoid_out_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:19:18.9362546Z   test_lstmcell_backward_only_one_output_grad_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:19:18.9362758Z   test_masked_softmax_TxT_layout_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.488s)
2022-11-23T03:19:18.9362952Z   test_masked_softmax_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (8.598s)
2022-11-23T03:19:18.9363174Z   test_masked_softmax_devices_parity_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (15.714s)
2022-11-23T03:19:18.9363398Z   test_masked_softmax_forward_with_nans_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.532s)
2022-11-23T03:19:18.9363600Z   test_masked_softmax_grad_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.234s)
2022-11-23T03:19:18.9363812Z   test_masked_softmax_mask_types_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (26.440s)
2022-11-23T03:19:18.9364039Z   test_masked_softmax_transformer_layout_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.568s)
2022-11-23T03:19:18.9364251Z   test_mish_inplace_overlap_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.178s)
2022-11-23T03:19:18.9364441Z   test_module_to_empty_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:19:18.9364640Z   test_module_to_empty_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:19:18.9364850Z   test_multi_margin_loss_errors_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.155s)
2022-11-23T03:19:18.9365094Z   test_multihead_attention_dtype_batch_first_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.155s)
2022-11-23T03:19:18.9365329Z   test_multihead_attention_dtype_batch_first_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.156s)
2022-11-23T03:19:18.9365573Z   test_multihead_attention_dtype_batch_first_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... ok (0.156s)
2022-11-23T03:19:18.9365797Z   test_multihead_attention_dtype_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.153s)
2022-11-23T03:19:18.9366089Z   test_multihead_attention_dtype_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.153s)
2022-11-23T03:19:18.9366291Z   test_multihead_attention_dtype_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... ok (0.152s)
2022-11-23T03:19:18.9366571Z   test_multihead_attn_fast_path_query_and_bias_have_different_dtypes_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... ok (0.152s)
2022-11-23T03:19:18.9366812Z   test_multihead_attn_fast_path_small_test_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:19:18.9367050Z   test_multihead_attn_in_proj_bias_none_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:19:18.9367286Z   test_multihead_attn_in_proj_weight_none_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:19:18.9367502Z   test_multihead_self_attn_two_masks_fast_path_cuda (__main__.TestNNDeviceTypeCUDA)
2022-11-23T03:19:18.9367924Z Multihead self-attention should give the same result on the fast path (BetterTransformer) as on the slow path ... ok (0.154s)
2022-11-23T03:19:18.9368153Z   test_multihead_self_attn_two_masks_fast_path_mock_cuda (__main__.TestNNDeviceTypeCUDA)
2022-11-23T03:19:18.9368574Z Multihead self-attention should take fast path when both attention mask (mask type 0) ... skip: Fastpath only runs on CPU and CUDA. (0.149s)
2022-11-23T03:19:18.9368822Z   test_nll_loss_all_ignored_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:19:18.9369050Z   test_nll_loss_byte_target_matches_long_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.153s)
2022-11-23T03:19:18.9369276Z   test_nll_loss_empty_tensor_reduction_mean_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.152s)
2022-11-23T03:19:18.9369500Z   test_nll_loss_empty_tensor_reduction_none_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:19:18.9369726Z   test_nll_loss_empty_tensor_reduction_sum_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.153s)
2022-11-23T03:19:18.9369941Z   test_nll_loss_invalid_target_dim_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.157s)
2022-11-23T03:19:18.9370161Z   test_nll_loss_invalid_weights_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.165s)
2022-11-23T03:19:18.9370433Z   test_nll_loss_large_tensor_reduction_mean_cuda (__main__.TestNNDeviceTypeCUDA) ... skip: Insufficient cuda memory (0.293s)
2022-11-23T03:19:18.9370710Z   test_nll_loss_large_tensor_reduction_none_cuda (__main__.TestNNDeviceTypeCUDA) ... skip: Insufficient cuda memory (0.295s)
2022-11-23T03:19:18.9370954Z   test_nll_loss_large_tensor_reduction_sum_cuda (__main__.TestNNDeviceTypeCUDA) ... skip: Insufficient cuda memory (0.293s)
2022-11-23T03:19:18.9371168Z   test_nll_loss_mismatched_batch_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:19:18.9371390Z   test_nll_loss_out_of_bounds_ignore_index_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.148s)
2022-11-23T03:19:18.9371606Z   test_nll_loss_total_weight_is_zero_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:19:18.9371796Z   test_nn_empty_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:19:18.9371993Z   test_nn_scalars_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.155s)
2022-11-23T03:19:18.9372203Z   test_nn_scalars_reductions_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.168s)
2022-11-23T03:19:18.9372805Z   test_nonlinearity_propagate_nan_cuda (__main__.TestNNDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1958: UserWarning: nn.functional.tanh is deprecated. Use torch.tanh instead.
2022-11-23T03:19:18.9373017Z   warnings.warn("nn.functional.tanh is deprecated. Use torch.tanh instead.")
2022-11-23T03:19:18.9373445Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T03:19:18.9373673Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T03:19:18.9373773Z ok (0.150s)
2022-11-23T03:19:18.9373957Z   test_one_hot_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.157s)
2022-11-23T03:19:18.9374280Z   test_overwrite_module_params_on_conversion_cpu_device_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:19:18.9374480Z   test_pad_cuda_complex128 (__main__.TestNNDeviceTypeCUDA) ... ok (0.179s)
2022-11-23T03:19:18.9374674Z   test_pad_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... ok (0.179s)
2022-11-23T03:19:18.9374940Z   test_prelu_backward_32bit_indexing_cuda (__main__.TestNNDeviceTypeCUDA) ... skip: Insufficient cuda:0 memory (0.291s)
2022-11-23T03:19:18.9375121Z   test_rnn_fused_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.205s)
2022-11-23T03:19:18.9375323Z   test_rnn_fused_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... ok (0.210s)
2022-11-23T03:19:18.9375536Z   test_rnn_retain_variables_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.315s)
2022-11-23T03:19:18.9375745Z   test_rnn_retain_variables_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.306s)
2022-11-23T03:19:18.9375957Z   test_rnn_retain_variables_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... ok (0.296s)
2022-11-23T03:19:18.9376618Z   test_save_lstm_compatibility_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.158s)
2022-11-23T03:19:18.9376987Z   test_silu_inplace_overlap_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.152s)
2022-11-23T03:19:18.9377301Z   test_skip_init_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:19:18.9377874Z   test_smooth_l1_loss_bfloat16_cuda (__main__.TestNNDeviceTypeCUDA) ... skip: Only runs on cpu (0.148s)
2022-11-23T03:19:18.9378138Z   test_smooth_l1_loss_vs_huber_loss_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.164s)
2022-11-23T03:19:18.9378405Z   test_softmax_64bit_indexing_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... skip: Insufficient cuda:0 memory (0.291s)
2022-11-23T03:19:18.9378601Z   test_softmax_bfloat16_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.164s)
2022-11-23T03:19:18.9378793Z   test_softmax_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:19:18.9378985Z   test_softmax_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.149s)
2022-11-23T03:19:18.9379200Z   test_softmax_results_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.899s)
2022-11-23T03:19:18.9379401Z   test_softmax_results_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.851s)
2022-11-23T03:19:18.9379616Z   test_softplus_inplace_overlap_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.158s)
2022-11-23T03:19:18.9379808Z   test_softplus_low_threshold_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:19:18.9380026Z   test_softshrink_cuda (__main__.TestNNDeviceTypeCUDA) ... skip: Only runs on cpu (0.148s)
2022-11-23T03:19:18.9380242Z   test_softshrink_inplace_overlap_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.152s)
2022-11-23T03:19:18.9380449Z   test_softshrink_negative_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.152s)
2022-11-23T03:19:18.9380661Z   test_threshold_inplace_overlap_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.148s)
2022-11-23T03:19:18.9381788Z   test_to_complex_cuda (__main__.TestNNDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1108: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected.
2022-11-23T03:19:18.9381905Z   warnings.warn(
2022-11-23T03:19:18.9382907Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1108: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected.
2022-11-23T03:19:18.9383018Z   warnings.warn(
2022-11-23T03:19:18.9383619Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1118: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:275.)
2022-11-23T03:19:18.9383969Z   return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
2022-11-23T03:19:18.9384052Z ok (0.149s)
2022-11-23T03:19:18.9384288Z   test_transformerencoderlayer_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.223s)
2022-11-23T03:19:18.9384520Z   test_transformerencoderlayer_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.224s)
2022-11-23T03:19:18.9385481Z   test_transformerencoderlayer_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/transformer.py:507: UserWarning: nested_from_padded CUDA kernels only support fp32/fp16; falling back to slower generic kernel (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/nested/cuda/NestedTensorTransformerFunctions.cpp:54.)
2022-11-23T03:19:18.9385645Z   return torch._transformer_encoder_layer_fwd(
2022-11-23T03:19:18.9385744Z ok (0.223s)
2022-11-23T03:19:18.9385977Z   test_transformerencoderlayer_fast_path_cuda_float64 (__main__.TestNNDeviceTypeCUDA)
2022-11-23T03:19:18.9386232Z Test transformer fast path on CPU with different valid mask types and shapes ... skip: Only runs on cpu (0.151s)
2022-11-23T03:19:18.9386519Z   test_transformerencoderlayer_gelu_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.230s)
2022-11-23T03:19:18.9386749Z   test_transformerencoderlayer_gelu_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.231s)
2022-11-23T03:19:18.9386978Z   test_triplet_margin_with_distance_loss_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (7.267s)
2022-11-23T03:19:18.9387226Z   test_triplet_margin_with_distance_loss_default_parity_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.618s)
2022-11-23T03:19:18.9387512Z   test_upsamplingBicubic2d_aa_correctness_memory_format_torch_channels_last_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.155s)
2022-11-23T03:19:18.9387808Z   test_upsamplingBicubic2d_aa_correctness_memory_format_torch_contiguous_format_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:19:18.9388076Z   test_upsamplingBicubic2d_antialias_False_align_corners_False_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.158s)
2022-11-23T03:19:18.9388342Z   test_upsamplingBicubic2d_antialias_False_align_corners_True_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.158s)
2022-11-23T03:19:18.9388598Z   test_upsamplingBicubic2d_antialias_True_align_corners_False_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.160s)
2022-11-23T03:19:18.9388852Z   test_upsamplingBicubic2d_antialias_True_align_corners_True_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.159s)
2022-11-23T03:19:18.9389082Z   test_upsamplingBicubic2d_correctness_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.154s)
2022-11-23T03:19:18.9389346Z   test_upsamplingBilinear2d_aa_correctness_memory_format_torch_channels_last_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:19:18.9389641Z   test_upsamplingBilinear2d_aa_correctness_memory_format_torch_contiguous_format_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.151s)
2022-11-23T03:19:18.9389909Z   test_upsamplingBilinear2d_antialias_False_align_corners_False_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.295s)
2022-11-23T03:19:18.9390177Z   test_upsamplingBilinear2d_antialias_False_align_corners_True_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.297s)
2022-11-23T03:19:18.9390438Z   test_upsamplingBilinear2d_antialias_True_align_corners_False_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.300s)
2022-11-23T03:19:18.9390698Z   test_upsamplingBilinear2d_antialias_True_align_corners_True_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.304s)
2022-11-23T03:19:18.9390926Z   test_upsamplingNearest1d_correctness_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.157s)
2022-11-23T03:19:18.9391137Z   test_upsamplingNearest1d_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.225s)
2022-11-23T03:19:18.9391425Z   test_upsamplingNearest1d_launch_config_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (9.863s)
2022-11-23T03:19:18.9391637Z   test_upsamplingNearest2d_correctness_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.186s)
2022-11-23T03:19:18.9391847Z   test_upsamplingNearest2d_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.371s)
2022-11-23T03:19:18.9392080Z   test_upsamplingNearest2d_launch_config_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (3.147s)
2022-11-23T03:19:18.9392333Z   test_upsamplingNearest2d_launch_fail_cuda (__main__.TestNNDeviceTypeCUDA) ... expected failure (0.177s)
2022-11-23T03:19:18.9392766Z   test_upsamplingNearest2d_launch_rocm_cuda (__main__.TestNNDeviceTypeCUDA) ... skip: test doesn't currently work on the CUDA stack (0.153s)
2022-11-23T03:19:18.9392995Z   test_upsamplingNearest3d_correctness_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.489s)
2022-11-23T03:19:18.9393283Z   test_upsamplingNearest3d_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.388s)
2022-11-23T03:19:18.9393520Z   test_upsamplingNearest3d_launch_config_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (13.819s)
2022-11-23T03:19:18.9393749Z   test_upsamplingNearestExact1d_correctness_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.164s)
2022-11-23T03:19:18.9393986Z   test_upsamplingNearestExact1d_rescale_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.156s)
2022-11-23T03:19:18.9394282Z   test_upsamplingNearestExact2d_correctness_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.179s)
2022-11-23T03:19:18.9394530Z   test_upsamplingNearestExact3d_correctness_cuda (__main__.TestNNDeviceTypeCUDA) ... ok (0.507s)
2022-11-23T03:19:18.9394813Z   test_upsampling_64bit_indexing_channels_last_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... skip: Insufficient cuda:0 memory (0.295s)
2022-11-23T03:19:18.9395025Z   test_variable_sequence_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... ok (0.671s)
2022-11-23T03:19:18.9395232Z   test_variable_sequence_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... ok (0.683s)
2022-11-23T03:19:18.9396148Z   test_variable_sequence_cuda_float64 (__main__.TestNNDeviceTypeCUDA) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/86655 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.004s)
2022-11-23T03:19:18.9396426Z   test_warp_softmax_64bit_indexing_cuda_float16 (__main__.TestNNDeviceTypeCUDA) ... skip: Insufficient cuda:0 memory (0.299s)
2022-11-23T03:19:18.9396692Z   test_warp_softmax_64bit_indexing_cuda_float32 (__main__.TestNNDeviceTypeCUDA) ... skip: Insufficient cuda:0 memory (0.294s)
2022-11-23T03:19:18.9396874Z   test_calculate_gain_leaky_relu (__main__.TestNNInit) ... ok (0.002s)
2022-11-23T03:19:18.9397073Z   test_calculate_gain_leaky_relu_only_accepts_numbers (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T03:19:18.9397249Z   test_calculate_gain_linear (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T03:19:18.9397440Z   test_calculate_gain_nonlinear (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T03:19:18.9397663Z   test_calculate_gain_only_accepts_valid_nonlinearities (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T03:19:18.9397817Z   test_constant (__main__.TestNNInit) ... ok (0.002s)
2022-11-23T03:19:18.9397979Z   test_deprecation (__main__.TestNNInit) ... ok (0.006s)
2022-11-23T03:19:18.9398151Z   test_dirac_identity (__main__.TestNNInit) ... ok (0.011s)
2022-11-23T03:19:18.9398324Z   test_dirac_only_works_on_3_4_5d_inputs (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T03:19:18.9398498Z   test_dirac_properties (__main__.TestNNInit) ... ok (0.004s)
2022-11-23T03:19:18.9398643Z   test_eye (__main__.TestNNInit) ... ok (0.002s)
2022-11-23T03:19:18.9398825Z   test_eye_only_works_on_2d_inputs (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T03:19:18.9398995Z   test_kaiming_normal (__main__.TestNNInit) ... ok (0.304s)
2022-11-23T03:19:18.9399210Z   test_kaiming_normal_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T03:19:18.9399487Z   test_kaiming_normal_warning_on_0element_tensor (__main__.TestNNInit) ... ok (0.006s)
2022-11-23T03:19:18.9399656Z   test_kaiming_uniform (__main__.TestNNInit) ... ok (0.247s)
2022-11-23T03:19:18.9399852Z   test_kaiming_uniform_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T03:19:18.9400061Z   test_kaiming_uniform_warning_on_0element_tensor (__main__.TestNNInit) ... ok (0.006s)
2022-11-23T03:19:18.9400212Z   test_normal (__main__.TestNNInit) ... ok (1.347s)
2022-11-23T03:19:18.9400375Z   test_ones_and_zeros (__main__.TestNNInit) ... ok (0.003s)
2022-11-23T03:19:18.9400541Z   test_orthogonal (__main__.TestNNInit) ... ok (0.006s)
2022-11-23T03:19:18.9400712Z   test_sparse_default_std (__main__.TestNNInit) ... ok (0.009s)
2022-11-23T03:19:18.9400900Z   test_sparse_only_works_on_2d_inputs (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T03:19:18.9401151Z   test_trunc_normal (__main__.TestNNInit) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T03:19:18.9401293Z   test_uniform (__main__.TestNNInit) ... ok (1.205s)
2022-11-23T03:19:18.9401455Z   test_xavier_normal (__main__.TestNNInit) ... ok (0.535s)
2022-11-23T03:19:18.9401666Z   test_xavier_normal_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T03:19:18.9401890Z   test_xavier_uniform (__main__.TestNNInit) ... ok (0.101s)
2022-11-23T03:19:18.9402110Z   test_xavier_uniform_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T03:19:18.9402318Z   test_load_state_dict_module_pre_hook (__main__.TestStateDictHooks) ... ok (0.003s)
2022-11-23T03:19:18.9402516Z   test_load_state_dict_post_hook (__main__.TestStateDictHooks) ... ok (0.003s)
2022-11-23T03:19:18.9402759Z   test_load_state_dict_post_hook_backward_compatibility (__main__.TestStateDictHooks) ... ok (0.004s)
2022-11-23T03:19:18.9402938Z   test_load_state_dict_pre_hook (__main__.TestStateDictHooks) ... ok (0.003s)
2022-11-23T03:19:18.9403142Z   test_no_extra_ref_to_module (__main__.TestStateDictHooks) ... ok (0.001s)
2022-11-23T03:19:18.9403323Z   test_pickled_hook (__main__.TestStateDictHooks) ... ok (0.002s)
2022-11-23T03:19:18.9403356Z 
2022-11-23T03:19:18.9403646Z ----------------------------------------------------------------------
2022-11-23T03:19:18.9403770Z Ran 2427 tests in 278.886s
2022-11-23T03:19:18.9403789Z 
2022-11-23T03:19:18.9403928Z OK (skipped=77, expected failures=4)
2022-11-23T03:19:18.9403947Z 
2022-11-23T03:19:18.9404071Z Generating XML reports...
2022-11-23T03:19:18.9404428Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestAddRelu-20221123031438.xml
2022-11-23T03:19:18.9404806Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestConstantPadNd-20221123031438.xml
2022-11-23T03:19:18.9405170Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestFunctionalPickle-20221123031438.xml
2022-11-23T03:19:18.9405524Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestFusionEval-20221123031438.xml
2022-11-23T03:19:18.9405891Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestFusionUtils-20221123031438.xml
2022-11-23T03:19:18.9406275Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestModuleGlobalHooks-20221123031438.xml
2022-11-23T03:19:18.9406601Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestNN-20221123031438.xml
2022-11-23T03:19:18.9406990Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestNNDeviceTypeCUDA-20221123031438.xml
2022-11-23T03:19:18.9407327Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestNNInit-20221123031438.xml
2022-11-23T03:19:18.9407695Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestStateDictHooks-20221123031438.xml
2022-11-23T03:19:18.9407717Z 
2022-11-23T03:19:18.9408353Z ##[endgroup]
2022-11-23T03:19:18.9408707Z FINISHED PRINTING LOG FILE of test_nn (/var/lib/jenkins/workspace/test/test-reports/test_nn_pe1bbwb1)
2022-11-23T03:19:18.9408826Z 
2022-11-23T03:19:18.9409061Z Running test_overrides ... [2022-11-23 03:19:18.846919]
2022-11-23T03:19:18.9409504Z Executing ['/opt/conda/bin/python', '-bb', 'test_overrides.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 03:19:18.847436]
2022-11-23T03:19:25.7754086Z 
2022-11-23T03:19:25.7755276Z Expand the folded group to see the log file of test_overrides
2022-11-23T03:19:25.7756746Z ##[group]PRINTING LOG FILE of test_overrides (/var/lib/jenkins/workspace/test/test-reports/test_overrides_2yvnh4qj)
2022-11-23T03:19:25.7757404Z 
2022-11-23T03:19:25.7757610Z Running tests...
2022-11-23T03:19:25.7758609Z ----------------------------------------------------------------------
2022-11-23T03:19:25.7759632Z Test results will be stored in test-reports/python-unittest/test_overrides
2022-11-23T03:19:25.7760548Z   test_broadcast_all (__main__.TestBroadcastAllOverride) ... ok (2.014s)
2022-11-23T03:19:25.7761479Z   test_parameter_does_not_prevent_dispatch (__main__.TestDisabledTorchFunction) ... ok (0.002s)
2022-11-23T03:19:25.7762406Z   test_wrapper (__main__.TestEinsumOverride) ... ok (0.004s)
2022-11-23T03:19:25.7763097Z   test_gradcheck (__main__.TestGradCheckOverride) ... ok (0.029s)
2022-11-23T03:19:25.7763823Z   test_newones (__main__.TestGradNewOnesOverride) ... ok (0.001s)
2022-11-23T03:19:25.7764501Z   test_getitem (__main__.TestIndexing) ... ok (0.002s)
2022-11-23T03:19:25.7765586Z   test_getitem_subclass (__main__.TestIndexing) ... ok (0.001s)
2022-11-23T03:19:25.7766490Z   test_setitem (__main__.TestIndexing) ... ok (0.001s)
2022-11-23T03:19:25.7767160Z   test_setitem_subclass (__main__.TestIndexing) ... ok (0.001s)
2022-11-23T03:19:25.7767781Z   test_setitem_val (__main__.TestIndexing) ... ok (0.001s)
2022-11-23T03:19:25.7768366Z   test_iterator (__main__.TestIterator) ... ok (0.001s)
2022-11-23T03:19:25.7769006Z   test_max (__main__.TestNamedTuple) ... ok (0.002s)
2022-11-23T03:19:25.7769620Z   test_pickle (__main__.TestPickle) ... ok (0.002s)
2022-11-23T03:19:25.7770165Z   test_rnn (__main__.TestRNN) ... ok (0.003s)
2022-11-23T03:19:25.7770786Z   test_resolve_name (__main__.TestResolveName) ... ok (0.149s)
2022-11-23T03:19:25.7771460Z   test_all_same_mode (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T03:19:25.7772152Z   test_basic (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T03:19:25.7772887Z   test_disable_enable_subclass (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T03:19:25.7773687Z   test_disable_subclass_not_mode (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T03:19:25.7774479Z   test_distributions_bernoulli (__main__.TestTorchFunctionMode) ... ok (0.002s)
2022-11-23T03:19:25.7775244Z   test_error_using_class_method_on_mode (__main__.TestTorchFunctionMode) ... ok (0.003s)
2022-11-23T03:19:25.7776004Z   test_factory_override (__main__.TestTorchFunctionMode) ... ok (0.002s)
2022-11-23T03:19:25.7777211Z   test_get_cur_mode (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T03:19:25.7777877Z   test_get_mode_stack (__main__.TestTorchFunctionMode) ... ok (0.002s)
2022-11-23T03:19:25.7778629Z   test_mode_notimplemented_loop (__main__.TestTorchFunctionMode) ... ok (0.002s)
2022-11-23T03:19:25.7779382Z   test_modes_handle_first (__main__.TestTorchFunctionMode) ... ok (0.002s)
2022-11-23T03:19:25.7780157Z   test_modes_return_notimplemented (__main__.TestTorchFunctionMode) ... ok (0.002s)
2022-11-23T03:19:25.7780983Z   test_nested_modes_with_python_has_torch_function (__main__.TestTorchFunctionMode) ... ok (0.002s)
2022-11-23T03:19:25.7781839Z   test_nested_same_mode (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T03:19:25.7782551Z   test_nn_parse_to (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T03:19:25.7783237Z   test_reentrant_mode_idiom (__main__.TestTorchFunctionMode) ... ok (0.002s)
2022-11-23T03:19:25.7784175Z   test_restacking_with_ancestor (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T03:19:25.7785068Z   test_subclass_hash (__main__.TestTorchFunctionMode) ... ok (0.002s)
2022-11-23T03:19:25.7786171Z   test_with_mode (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T03:19:25.7786577Z   test_with_mode_created_separately (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T03:19:25.7787009Z   test_with_nested_modes (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T03:19:25.7787432Z   test_Tensor___add__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7787828Z   test_Tensor___and__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7788245Z   test_Tensor___array__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7788674Z   test_Tensor___array_wrap__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7789095Z   test_Tensor___bool__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7789500Z   test_Tensor___complex__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7789929Z   test_Tensor___contains__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7790415Z   test_Tensor___cuda_array_interface_____get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7790850Z   test_Tensor___deepcopy__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7791272Z   test_Tensor___div__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7791820Z   test_Tensor___dlpack__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7792279Z   test_Tensor___dlpack_device__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7792685Z   test_Tensor___eq__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7793102Z   test_Tensor___float__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7793529Z   test_Tensor___floordiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7793930Z   test_Tensor___format__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7794353Z   test_Tensor___ge__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7794783Z   test_Tensor___getitem__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7795207Z   test_Tensor___gt__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7795608Z   test_Tensor___iadd__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7796039Z   test_Tensor___iand__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7796455Z   test_Tensor___idiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7796850Z   test_Tensor___ifloordiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7797283Z   test_Tensor___ilshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7797706Z   test_Tensor___imod__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7798130Z   test_Tensor___imul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7798544Z   test_Tensor___index__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7798957Z   test_Tensor___int__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7799376Z   test_Tensor___invert__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7799779Z   test_Tensor___ior__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7800197Z   test_Tensor___irshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7800624Z   test_Tensor___isub__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7801038Z   test_Tensor___ixor__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7801426Z   test_Tensor___le__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7801832Z   test_Tensor___len__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7802345Z   test_Tensor___long__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7802740Z   test_Tensor___lshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7803154Z   test_Tensor___lt__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7803575Z   test_Tensor___matmul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7803998Z   test_Tensor___mod__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7804386Z   test_Tensor___mul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7804798Z   test_Tensor___ne__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7805213Z   test_Tensor___nonzero__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7805612Z   test_Tensor___or__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7806033Z   test_Tensor___radd__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7806464Z   test_Tensor___rand__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7806861Z   test_Tensor___rdiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7807284Z   test_Tensor___reduce_ex__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7807716Z   test_Tensor___repr__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7808212Z   test_Tensor___reversed__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7808638Z   test_Tensor___rfloordiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7809069Z   test_Tensor___rlshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7809488Z   test_Tensor___rmatmul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7809891Z   test_Tensor___rmod__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7810302Z   test_Tensor___rmul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7810733Z   test_Tensor___ror__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7811147Z   test_Tensor___rpow__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7811546Z   test_Tensor___rrshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7811976Z   test_Tensor___rshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7812391Z   test_Tensor___rsub__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7812789Z   test_Tensor___rxor__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7813210Z   test_Tensor___setitem__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7813639Z   test_Tensor___setstate__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7814059Z   test_Tensor___sub__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7814464Z   test_Tensor___truediv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7814887Z   test_Tensor___xor__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7815329Z   test_Tensor__autocast_to_full_precision (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7815799Z   test_Tensor__autocast_to_reduced_precision (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7816596Z   test_Tensor__coalesced_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7817023Z   test_Tensor__dimI (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7817445Z   test_Tensor__dimV (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7817844Z   test_Tensor__indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7818276Z   test_Tensor__is_view (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7818713Z   test_Tensor__nested_tensor_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7819285Z   test_Tensor__nnz (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7819713Z   test_Tensor__storage (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7820139Z   test_Tensor__to_dense (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7820582Z   test_Tensor__update_names (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7820996Z   test_Tensor__values (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7821410Z   test_Tensor_abs (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7821817Z   test_Tensor_abs_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7822226Z   test_Tensor_absolute (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7822655Z   test_Tensor_absolute_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7823080Z   test_Tensor_acos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7823512Z   test_Tensor_acos_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7823906Z   test_Tensor_acosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7824330Z   test_Tensor_acosh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7824850Z   test_Tensor_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7825258Z   test_Tensor_add_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7825681Z   test_Tensor_addbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7826104Z   test_Tensor_addbmm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7826510Z   test_Tensor_addcdiv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7826929Z   test_Tensor_addcdiv_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7827358Z   test_Tensor_addcmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7827795Z   test_Tensor_addcmul_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7828196Z   test_Tensor_addmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7828615Z   test_Tensor_addmm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7829037Z   test_Tensor_addmv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7829427Z   test_Tensor_addmv_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7829844Z   test_Tensor_addr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7830266Z   test_Tensor_addr_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7830685Z   test_Tensor_adjoint (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7831086Z   test_Tensor_align_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7831519Z   test_Tensor_align_to (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7831936Z   test_Tensor_all (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7832338Z   test_Tensor_allclose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7832758Z   test_Tensor_amax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7833181Z   test_Tensor_amin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7833602Z   test_Tensor_aminmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7834003Z   test_Tensor_angle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7834420Z   test_Tensor_any (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7834841Z   test_Tensor_apply_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7835238Z   test_Tensor_arccos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7835746Z   test_Tensor_arccos_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7836161Z   test_Tensor_arccosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7836558Z   test_Tensor_arccosh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7836973Z   test_Tensor_arcsin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7837393Z   test_Tensor_arcsin_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7837808Z   test_Tensor_arcsinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7838209Z   test_Tensor_arcsinh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7838630Z   test_Tensor_arctan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7839048Z   test_Tensor_arctan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7839438Z   test_Tensor_arctan2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7839861Z   test_Tensor_arctan_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7840280Z   test_Tensor_arctanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7840704Z   test_Tensor_arctanh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7841100Z   test_Tensor_argmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7841594Z   test_Tensor_argmin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7842024Z   test_Tensor_argsort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7842431Z   test_Tensor_argwhere (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7842869Z   test_Tensor_as_strided (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7843295Z   test_Tensor_as_strided_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7843742Z   test_Tensor_as_strided_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7844165Z   test_Tensor_asin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7844582Z   test_Tensor_asin_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7844997Z   test_Tensor_asinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7845402Z   test_Tensor_asinh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7845828Z   test_Tensor_atan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7846240Z   test_Tensor_atan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7846663Z   test_Tensor_atan2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7847061Z   test_Tensor_atan_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7847473Z   test_Tensor_atanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7847891Z   test_Tensor_atanh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7848302Z   test_Tensor_backward (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7848735Z   test_Tensor_baddbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7849164Z   test_Tensor_baddbmm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7849579Z   test_Tensor_bernoulli (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7850011Z   test_Tensor_bernoulli_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7850450Z   test_Tensor_bfloat16 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7850879Z   test_Tensor_bincount (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7851289Z   test_Tensor_bitwise_and (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7851729Z   test_Tensor_bitwise_and_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7852188Z   test_Tensor_bitwise_left_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7852731Z   test_Tensor_bitwise_left_shift_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7853177Z   test_Tensor_bitwise_not (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7853606Z   test_Tensor_bitwise_not_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7854040Z   test_Tensor_bitwise_or (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7854449Z   test_Tensor_bitwise_or_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7854900Z   test_Tensor_bitwise_right_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7855358Z   test_Tensor_bitwise_right_shift_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7855788Z   test_Tensor_bitwise_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7856586Z   test_Tensor_bitwise_xor_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7857018Z   test_Tensor_bmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7857432Z   test_Tensor_bool (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7857831Z   test_Tensor_broadcast_to (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7858362Z   test_Tensor_byte (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7858790Z   test_Tensor_cauchy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7859198Z   test_Tensor_ccol_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7859630Z   test_Tensor_cdouble (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7860042Z   test_Tensor_ceil (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7860459Z   test_Tensor_ceil_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7860855Z   test_Tensor_cfloat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7861281Z   test_Tensor_chalf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7861697Z   test_Tensor_char (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7862092Z   test_Tensor_cholesky (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7862539Z   test_Tensor_cholesky_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7862981Z   test_Tensor_cholesky_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7863411Z   test_Tensor_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7863806Z   test_Tensor_clamp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7864223Z   test_Tensor_clamp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7864647Z   test_Tensor_clamp_max (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7865067Z   test_Tensor_clamp_max_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7865495Z   test_Tensor_clamp_min (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7865923Z   test_Tensor_clamp_min_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7866343Z   test_Tensor_clip (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7866743Z   test_Tensor_clip_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7867161Z   test_Tensor_clone (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7867582Z   test_Tensor_coalesce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7867993Z   test_Tensor_col_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7868424Z   test_Tensor_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7868850Z   test_Tensor_conj_physical (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7869406Z   test_Tensor_conj_physical_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7869848Z   test_Tensor_contiguous (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7870278Z   test_Tensor_copy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7870707Z   test_Tensor_copysign (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7871123Z   test_Tensor_copysign_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7871552Z   test_Tensor_corrcoef (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7871980Z   test_Tensor_cos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7872373Z   test_Tensor_cos_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7872789Z   test_Tensor_cosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7873208Z   test_Tensor_cosh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7873636Z   test_Tensor_count_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7874042Z   test_Tensor_cov (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7874454Z   test_Tensor_cpu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7874868Z   test_Tensor_cross (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7875347Z   test_Tensor_crow_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7875794Z   test_Tensor_cuda (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7876212Z   test_Tensor_cummax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7876634Z   test_Tensor_cummin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7877035Z   test_Tensor_cumprod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7877466Z   test_Tensor_cumprod_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7877892Z   test_Tensor_cumsum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7878290Z   test_Tensor_cumsum_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7878713Z   test_Tensor_data_ptr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7879138Z   test_Tensor_deg2rad (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7879560Z   test_Tensor_deg2rad_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7879958Z   test_Tensor_dense_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7880391Z   test_Tensor_dequantize (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7880810Z   test_Tensor_det (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7881205Z   test_Tensor_detach (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7881694Z   test_Tensor_detach_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7882127Z   test_Tensor_diag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7882533Z   test_Tensor_diag_embed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7882969Z   test_Tensor_diagflat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7883395Z   test_Tensor_diagonal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7883830Z   test_Tensor_diagonal_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7884240Z   test_Tensor_diff (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7884663Z   test_Tensor_digamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7885079Z   test_Tensor_digamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7885473Z   test_Tensor_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7885883Z   test_Tensor_dist (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7886416Z   test_Tensor_div (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7886819Z   test_Tensor_div_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7887217Z   test_Tensor_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7887637Z   test_Tensor_divide_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7888054Z   test_Tensor_dot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7888452Z   test_Tensor_double (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7888877Z   test_Tensor_dsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7889308Z   test_Tensor_element_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7889727Z   test_Tensor_eq (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7890111Z   test_Tensor_eq_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7890527Z   test_Tensor_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7890943Z   test_Tensor_erf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7891332Z   test_Tensor_erf_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7891817Z   test_Tensor_erfc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7892239Z   test_Tensor_erfc_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7892639Z   test_Tensor_erfinv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7893060Z   test_Tensor_erfinv_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7893476Z   test_Tensor_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7893896Z   test_Tensor_exp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7894287Z   test_Tensor_exp2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7894702Z   test_Tensor_exp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7895117Z   test_Tensor_expand (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7895629Z   test_Tensor_expand_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7896346Z   test_Tensor_expm1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7896785Z   test_Tensor_expm1_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7897213Z   test_Tensor_exponential_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7897623Z   test_Tensor_fill_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7898060Z   test_Tensor_fill_diagonal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7898490Z   test_Tensor_fix (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7898879Z   test_Tensor_fix_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7899318Z   test_Tensor_flatten (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7899745Z   test_Tensor_flip (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7900163Z   test_Tensor_fliplr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7900566Z   test_Tensor_flipud (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7900987Z   test_Tensor_float (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7901414Z   test_Tensor_float_power (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7901828Z   test_Tensor_float_power_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7902253Z   test_Tensor_floor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7902676Z   test_Tensor_floor_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7903264Z   test_Tensor_floor_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7903681Z   test_Tensor_floor_divide_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7904105Z   test_Tensor_fmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7904518Z   test_Tensor_fmin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7904907Z   test_Tensor_fmod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7905313Z   test_Tensor_fmod_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7905716Z   test_Tensor_frac (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7906103Z   test_Tensor_frac_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7906513Z   test_Tensor_frexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7906927Z   test_Tensor_gather (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7907348Z   test_Tensor_gcd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7907741Z   test_Tensor_gcd_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7908142Z   test_Tensor_ge (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7908540Z   test_Tensor_ge_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7909049Z   test_Tensor_geometric_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7909484Z   test_Tensor_geqrf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7909890Z   test_Tensor_ger (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7910300Z   test_Tensor_get_device (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7910700Z   test_Tensor_greater (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7911117Z   test_Tensor_greater_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7911547Z   test_Tensor_greater_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7911964Z   test_Tensor_greater_equal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7912376Z   test_Tensor_gt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7912773Z   test_Tensor_gt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7913183Z   test_Tensor_half (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7913581Z   test_Tensor_hardshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7914000Z   test_Tensor_has_names (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7915465Z   test_Tensor_heaviside (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7915872Z   test_Tensor_heaviside_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7916293Z   test_Tensor_histc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7916710Z   test_Tensor_histogram (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7917125Z   test_Tensor_hsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7917520Z   test_Tensor_hypot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7917925Z   test_Tensor_hypot_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7918330Z   test_Tensor_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7918715Z   test_Tensor_i0_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7919128Z   test_Tensor_igamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7919535Z   test_Tensor_igamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7919937Z   test_Tensor_igammac (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7920360Z   test_Tensor_igammac_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7920877Z   test_Tensor_index_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7921303Z   test_Tensor_index_add_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7921712Z   test_Tensor_index_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7922152Z   test_Tensor_index_copy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7922588Z   test_Tensor_index_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7922996Z   test_Tensor_index_fill_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7923432Z   test_Tensor_index_put (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7923865Z   test_Tensor_index_put_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7924297Z   test_Tensor_index_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7924716Z   test_Tensor_index_reduce_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7925154Z   test_Tensor_index_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7925583Z   test_Tensor_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7925981Z   test_Tensor_inner (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7926467Z   test_Tensor_int (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7926899Z   test_Tensor_int_repr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7927325Z   test_Tensor_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7927718Z   test_Tensor_ipu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7928147Z   test_Tensor_is_coalesced (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7928576Z   test_Tensor_is_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7928992Z   test_Tensor_is_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7929424Z   test_Tensor_is_contiguous (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7929868Z   test_Tensor_is_distributed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7930318Z   test_Tensor_is_floating_point (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7930754Z   test_Tensor_is_inference (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7931180Z   test_Tensor_is_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7931601Z   test_Tensor_is_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7932015Z   test_Tensor_is_pinned (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7932448Z   test_Tensor_is_same_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7932880Z   test_Tensor_is_set_to (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7933309Z   test_Tensor_is_shared (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7933709Z   test_Tensor_is_signed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7934131Z   test_Tensor_isclose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7934554Z   test_Tensor_isfinite (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7934959Z   test_Tensor_isinf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7935377Z   test_Tensor_isnan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7935800Z   test_Tensor_isneginf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7936566Z   test_Tensor_isposinf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7936966Z   test_Tensor_isreal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7937381Z   test_Tensor_istft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7937933Z   test_Tensor_item (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7938325Z   test_Tensor_kron (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7938738Z   test_Tensor_kthvalue (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7939159Z   test_Tensor_lcm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7939551Z   test_Tensor_lcm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7939970Z   test_Tensor_ldexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7940392Z   test_Tensor_ldexp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7940802Z   test_Tensor_le (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7941189Z   test_Tensor_le_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7941598Z   test_Tensor_lerp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7942018Z   test_Tensor_lerp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7942413Z   test_Tensor_less (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7942822Z   test_Tensor_less_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7943353Z   test_Tensor_less_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7943787Z   test_Tensor_less_equal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7944189Z   test_Tensor_lgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7944611Z   test_Tensor_lgamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7945030Z   test_Tensor_log (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7945418Z   test_Tensor_log10 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7945831Z   test_Tensor_log10_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7946257Z   test_Tensor_log1p (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7946672Z   test_Tensor_log1p_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7947059Z   test_Tensor_log2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7947479Z   test_Tensor_log2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7947882Z   test_Tensor_log_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7948291Z   test_Tensor_log_normal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7948713Z   test_Tensor_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7949145Z   test_Tensor_logaddexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7949558Z   test_Tensor_logaddexp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7949991Z   test_Tensor_logcumsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7950425Z   test_Tensor_logdet (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7950841Z   test_Tensor_logical_and (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7951252Z   test_Tensor_logical_and_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7951677Z   test_Tensor_logical_not (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7952103Z   test_Tensor_logical_not_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7952516Z   test_Tensor_logical_or (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7952943Z   test_Tensor_logical_or_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7953359Z   test_Tensor_logical_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7953783Z   test_Tensor_logical_xor_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7954279Z   test_Tensor_logit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7954751Z   test_Tensor_logit_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7955169Z   test_Tensor_logsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7955574Z   test_Tensor_long (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7955976Z   test_Tensor_lt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7956375Z   test_Tensor_lt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7956773Z   test_Tensor_lu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7957159Z   test_Tensor_lu_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7957573Z   test_Tensor_map2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7957982Z   test_Tensor_map_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7958389Z   test_Tensor_masked_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7958810Z   test_Tensor_masked_fill_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7959234Z   test_Tensor_masked_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7959733Z   test_Tensor_masked_scatter_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7960162Z   test_Tensor_masked_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7960581Z   test_Tensor_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7960997Z   test_Tensor_matrix_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7961405Z   test_Tensor_matrix_power (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7961821Z   test_Tensor_max (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7962230Z   test_Tensor_maximum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7962649Z   test_Tensor_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7963036Z   test_Tensor_median (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7963437Z   test_Tensor_min (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7963851Z   test_Tensor_minimum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7964242Z   test_Tensor_mm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7964650Z   test_Tensor_mode (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7965056Z   test_Tensor_moveaxis (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7965459Z   test_Tensor_movedim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7965870Z   test_Tensor_msort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7966279Z   test_Tensor_mul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7966687Z   test_Tensor_mul_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7967080Z   test_Tensor_multinomial (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7967495Z   test_Tensor_multiply (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7967920Z   test_Tensor_multiply_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7968318Z   test_Tensor_mv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7968733Z   test_Tensor_mvlgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7969148Z   test_Tensor_mvlgamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7969567Z   test_Tensor_nan_to_num (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7969972Z   test_Tensor_nan_to_num_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7970479Z   test_Tensor_nanmean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7970896Z   test_Tensor_nanmedian (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7971308Z   test_Tensor_nanquantile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7971724Z   test_Tensor_nansum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7972132Z   test_Tensor_narrow (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7972551Z   test_Tensor_narrow_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7972962Z   test_Tensor_ndimension (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7973371Z   test_Tensor_ne (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7973770Z   test_Tensor_ne_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7974223Z   test_Tensor_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7974628Z   test_Tensor_neg_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7975038Z   test_Tensor_negative (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7975446Z   test_Tensor_negative_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7975863Z   test_Tensor_nelement (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7976751Z   test_Tensor_nextafter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7977186Z   test_Tensor_nextafter_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7977591Z   test_Tensor_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7977997Z   test_Tensor_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7978409Z   test_Tensor_normal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7978811Z   test_Tensor_not_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7979238Z   test_Tensor_not_equal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7979651Z   test_Tensor_numel (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7980059Z   test_Tensor_numpy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7980458Z   test_Tensor_orgqr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7980870Z   test_Tensor_ormqr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7981271Z   test_Tensor_outer (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7981708Z   test_Tensor_permute (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7982131Z   test_Tensor_pin_memory (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7982557Z   test_Tensor_pinverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7982979Z   test_Tensor_polygamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7983397Z   test_Tensor_polygamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7983821Z   test_Tensor_positive (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7984227Z   test_Tensor_pow (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7984624Z   test_Tensor_pow_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7985036Z   test_Tensor_prelu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7985450Z   test_Tensor_prod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7985862Z   test_Tensor_put (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7986249Z   test_Tensor_put_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7986677Z   test_Tensor_q_per_channel_axis (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7987125Z   test_Tensor_q_per_channel_scales (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7987719Z   test_Tensor_q_per_channel_zero_points (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7988154Z   test_Tensor_q_scale (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7988579Z   test_Tensor_q_zero_point (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7988997Z   test_Tensor_qr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7989390Z   test_Tensor_qscheme (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7989800Z   test_Tensor_quantile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7990212Z   test_Tensor_rad2deg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7990604Z   test_Tensor_rad2deg_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7991018Z   test_Tensor_random_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7991429Z   test_Tensor_ravel (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7991832Z   test_Tensor_reciprocal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7992260Z   test_Tensor_reciprocal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7992699Z   test_Tensor_record_stream (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7993196Z   test_Tensor_refine_names (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7993618Z   test_Tensor_register_hook (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7994033Z   test_Tensor_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7994440Z   test_Tensor_relu_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7994838Z   test_Tensor_remainder (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7995268Z   test_Tensor_remainder_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7995690Z   test_Tensor_rename (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7996095Z   test_Tensor_rename_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7996486Z   test_Tensor_renorm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7996900Z   test_Tensor_renorm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7997305Z   test_Tensor_repeat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7997718Z   test_Tensor_repeat_interleave (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7998169Z   test_Tensor_requires_grad_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7998590Z   test_Tensor_reshape (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7999013Z   test_Tensor_reshape_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7999417Z   test_Tensor_resize (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.7999833Z   test_Tensor_resize_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8000246Z   test_Tensor_resize_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8000653Z   test_Tensor_resize_as_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8001088Z   test_Tensor_resize_as_sparse_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8001520Z   test_Tensor_resolve_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8001945Z   test_Tensor_resolve_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8002354Z   test_Tensor_retain_grad (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8002777Z   test_Tensor_roll (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8003191Z   test_Tensor_rot90 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8003705Z   test_Tensor_round (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8004116Z   test_Tensor_round_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8004533Z   test_Tensor_row_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8004950Z   test_Tensor_rsqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8005343Z   test_Tensor_rsqrt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8005753Z   test_Tensor_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8006169Z   test_Tensor_scatter_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8006571Z   test_Tensor_scatter_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8006996Z   test_Tensor_scatter_add_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8007433Z   test_Tensor_scatter_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8007877Z   test_Tensor_scatter_reduce_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8008283Z   test_Tensor_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8008711Z   test_Tensor_select_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8009266Z   test_Tensor_set_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8009665Z   test_Tensor_sgn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8010076Z   test_Tensor_sgn_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8010497Z   test_Tensor_share_memory_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8010895Z   test_Tensor_short (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8011306Z   test_Tensor_sigmoid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8011722Z   test_Tensor_sigmoid_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8012139Z   test_Tensor_sign (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8012535Z   test_Tensor_sign_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8012951Z   test_Tensor_signbit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8013382Z   test_Tensor_sin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8013770Z   test_Tensor_sin_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8014173Z   test_Tensor_sinc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8014575Z   test_Tensor_sinc_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8014972Z   test_Tensor_sinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8015354Z   test_Tensor_sinh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8015751Z   test_Tensor_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8016530Z   test_Tensor_slice_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8016949Z   test_Tensor_slogdet (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8017362Z   test_Tensor_smm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8017773Z   test_Tensor_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8018184Z   test_Tensor_sort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8018583Z   test_Tensor_sparse_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8019011Z   test_Tensor_sparse_mask (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8019443Z   test_Tensor_sparse_resize_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8019874Z   test_Tensor_sparse_resize_and_clear_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8020551Z   test_Tensor_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8020973Z   test_Tensor_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8021396Z   test_Tensor_sqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8021784Z   test_Tensor_sqrt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8022190Z   test_Tensor_square (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8022606Z   test_Tensor_square_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8023005Z   test_Tensor_squeeze (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8023417Z   test_Tensor_squeeze_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8023838Z   test_Tensor_sspaddmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8024227Z   test_Tensor_std (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8024639Z   test_Tensor_stft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8025049Z   test_Tensor_storage (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8025468Z   test_Tensor_storage_offset (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8025882Z   test_Tensor_storage_type (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8026404Z   test_Tensor_sub (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8026818Z   test_Tensor_sub_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8027208Z   test_Tensor_subtract (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8027634Z   test_Tensor_subtract_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8028050Z   test_Tensor_sum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8028461Z   test_Tensor_sum_to_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8028861Z   test_Tensor_svd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8029275Z   test_Tensor_swapaxes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8029697Z   test_Tensor_swapaxes_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8030105Z   test_Tensor_swapdims (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8030528Z   test_Tensor_swapdims_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8030946Z   test_Tensor_symeig (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8031350Z   test_Tensor_t (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8031734Z   test_Tensor_t_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8032134Z   test_Tensor_take (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8032556Z   test_Tensor_take_along_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8032968Z   test_Tensor_tan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8033368Z   test_Tensor_tan_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8033769Z   test_Tensor_tanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8034166Z   test_Tensor_tanh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8034611Z   test_Tensor_tensor_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8035027Z   test_Tensor_tile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8035426Z   test_Tensor_to (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8035814Z   test_Tensor_to_dense (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8036230Z   test_Tensor_to_mkldnn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8036645Z   test_Tensor_to_sparse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8037130Z   test_Tensor_tolist (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8037535Z   test_Tensor_topk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8037943Z   test_Tensor_trace (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8038361Z   test_Tensor_transpose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8038769Z   test_Tensor_transpose_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8039208Z   test_Tensor_triangular_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8039634Z   test_Tensor_tril (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8040022Z   test_Tensor_tril_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8040425Z   test_Tensor_triu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8040826Z   test_Tensor_triu_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8041250Z   test_Tensor_true_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8041660Z   test_Tensor_true_divide_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8042070Z   test_Tensor_trunc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8042547Z   test_Tensor_trunc_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8042955Z   test_Tensor_type (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8043367Z   test_Tensor_type_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8043781Z   test_Tensor_unbind (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8044191Z   test_Tensor_unfold (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8044584Z   test_Tensor_uniform_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8044990Z   test_Tensor_unique (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8045416Z   test_Tensor_unique_consecutive (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8045843Z   test_Tensor_unsafe_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8046270Z   test_Tensor_unsafe_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8046711Z   test_Tensor_unsafe_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8047151Z   test_Tensor_unsqueeze (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8047557Z   test_Tensor_unsqueeze_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8047969Z   test_Tensor_values (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8048374Z   test_Tensor_var (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8048765Z   test_Tensor_vdot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8049186Z   test_Tensor_view (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8049602Z   test_Tensor_view_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8049998Z   test_Tensor_vsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8050410Z   test_Tensor_where (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8050824Z   test_Tensor_xlogy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8051231Z   test_Tensor_xlogy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8051627Z   test_Tensor_xpu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8052028Z   test_Tensor_zero_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8052445Z   test__TensorBase_H___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8052914Z   test__TensorBase_T___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8053521Z   test__TensorBase__backward_hooks___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8053979Z   test__TensorBase__base___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8054421Z   test__TensorBase__cdata___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8054849Z   test__TensorBase__grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8055294Z   test__TensorBase__grad_fn___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8055741Z   test__TensorBase__version___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8056398Z   test__TensorBase_data___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8056847Z   test__TensorBase_device___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8057295Z   test__TensorBase_dtype___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8057740Z   test__TensorBase_grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8058167Z   test__TensorBase_grad_fn___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8058609Z   test__TensorBase_imag___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8059166Z   test__TensorBase_is_cpu___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8059608Z   test__TensorBase_is_cuda___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8060049Z   test__TensorBase_is_ipu___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8060493Z   test__TensorBase_is_leaf___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8060930Z   test__TensorBase_is_meta___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8061354Z   test__TensorBase_is_mkldnn___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8061812Z   test__TensorBase_is_mps___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8062258Z   test__TensorBase_is_nested___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8062692Z   test__TensorBase_is_ort___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8063126Z   test__TensorBase_is_quantized___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8063578Z   test__TensorBase_is_sparse___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8064035Z   test__TensorBase_is_sparse_csr___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8064468Z   test__TensorBase_is_vulkan___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8064912Z   test__TensorBase_is_xpu___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8065359Z   test__TensorBase_layout___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8065792Z   test__TensorBase_mH___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8066213Z   test__TensorBase_mT___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8066655Z   test__TensorBase_name___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8067095Z   test__TensorBase_names___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8067510Z   test__TensorBase_ndim___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8067963Z   test__TensorBase_output_nr___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8068411Z   test__TensorBase_real___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8068872Z   test__TensorBase_requires_grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8069436Z   test__TensorBase_retains_grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8069887Z   test__TensorBase_shape___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8070336Z   test__TensorBase_volatile___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8070736Z   test_base (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8071132Z   test_grad (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8071558Z   test_has_torch_function_non_sequence (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8071976Z   test_mean_semantics (__main__.TestTorchFunctionOverride)
2022-11-23T03:19:25.8072351Z Test that a function with one argument can be overrided ... ok (0.002s)
2022-11-23T03:19:25.8072732Z   test_mm_semantics (__main__.TestTorchFunctionOverride)
2022-11-23T03:19:25.8073129Z Test that a function with multiple arguments can be overrided ... ok (0.003s)
2022-11-23T03:19:25.8073526Z   test_pow_rpow (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8073929Z   test_precedence_semantics (__main__.TestTorchFunctionOverride)
2022-11-23T03:19:25.8074333Z Test semantics for __torch_function__ for functions that take ... ok (0.004s)
2022-11-23T03:19:25.8074828Z   test_tensor_subclass_propagation (__main__.TestTorchFunctionOverride)
2022-11-23T03:19:25.8075227Z this test exercises the functionality described in ... ok (0.003s)
2022-11-23T03:19:25.8075637Z   test_torch__C__fft_fft_fft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8076062Z   test_torch__C__fft_fft_fft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8076475Z   test_torch__C__fft_fft_fftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8076913Z   test_torch__C__fft_fft_fftshift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8077351Z   test_torch__C__fft_fft_hfft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8077787Z   test_torch__C__fft_fft_hfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8078202Z   test_torch__C__fft_fft_hfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8078628Z   test_torch__C__fft_fft_ifft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8079064Z   test_torch__C__fft_fft_ifft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8079471Z   test_torch__C__fft_fft_ifftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8079914Z   test_torch__C__fft_fft_ifftshift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8080351Z   test_torch__C__fft_fft_ihfft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8080781Z   test_torch__C__fft_fft_ihfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8081201Z   test_torch__C__fft_fft_ihfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8081739Z   test_torch__C__fft_fft_irfft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8082169Z   test_torch__C__fft_fft_irfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8082582Z   test_torch__C__fft_fft_irfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8083018Z   test_torch__C__fft_fft_rfft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8083446Z   test_torch__C__fft_fft_rfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8083874Z   test_torch__C__fft_fft_rfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8084305Z   test_torch__C__linalg_linalg_cholesky (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8084780Z   test_torch__C__linalg_linalg_cholesky_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8085341Z   test_torch__C__linalg_linalg_cond (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8085776Z   test_torch__C__linalg_linalg_cross (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8086232Z   test_torch__C__linalg_linalg_det (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8086699Z   test_torch__C__linalg_linalg_diagonal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8087157Z   test_torch__C__linalg_linalg_eig (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8087593Z   test_torch__C__linalg_linalg_eigh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8088052Z   test_torch__C__linalg_linalg_eigvals (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8088520Z   test_torch__C__linalg_linalg_eigvalsh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8088992Z   test_torch__C__linalg_linalg_householder_product (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8089472Z   test_torch__C__linalg_linalg_inv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8089924Z   test_torch__C__linalg_linalg_inv_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8090385Z   test_torch__C__linalg_linalg_ldl_factor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8090910Z   test_torch__C__linalg_linalg_ldl_factor_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8091387Z   test_torch__C__linalg_linalg_ldl_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8091841Z   test_torch__C__linalg_linalg_lstsq (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8092285Z   test_torch__C__linalg_linalg_lu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8092726Z   test_torch__C__linalg_linalg_lu_factor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8093195Z   test_torch__C__linalg_linalg_lu_factor_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8093654Z   test_torch__C__linalg_linalg_lu_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8094093Z   test_torch__C__linalg_linalg_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8094557Z   test_torch__C__linalg_linalg_matrix_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8095017Z   test_torch__C__linalg_linalg_matrix_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8095480Z   test_torch__C__linalg_linalg_matrix_power (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8095930Z   test_torch__C__linalg_linalg_matrix_rank (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8096793Z   test_torch__C__linalg_linalg_multi_dot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8097247Z   test_torch__C__linalg_linalg_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8097687Z   test_torch__C__linalg_linalg_pinv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8098130Z   test_torch__C__linalg_linalg_qr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8098582Z   test_torch__C__linalg_linalg_slogdet (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8099043Z   test_torch__C__linalg_linalg_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8099481Z   test_torch__C__linalg_linalg_solve_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8099952Z   test_torch__C__linalg_linalg_solve_triangular (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8100414Z   test_torch__C__linalg_linalg_svd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8100867Z   test_torch__C__linalg_linalg_svdvals (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8101459Z   test_torch__C__linalg_linalg_tensorinv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8101921Z   test_torch__C__linalg_linalg_tensorsolve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8102379Z   test_torch__C__linalg_linalg_vander (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8102821Z   test_torch__C__linalg_linalg_vecdot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8103283Z   test_torch__C__linalg_linalg_vector_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8103732Z   test_torch__C__nn_avg_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8104169Z   test_torch__C__nn_avg_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8104573Z   test_torch__C__nn_gelu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8105000Z   test_torch__C__nn_linear (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8105440Z   test_torch__C__nn_log_sigmoid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8105854Z   test_torch__C__nn_one_hot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8106282Z   test_torch__C__nn_softplus (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8106806Z   test_torch__C__nn_softshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8107273Z   test_torch__C__special_special_airy_ai (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8107730Z   test_torch__C__special_special_bessel_j0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8108195Z   test_torch__C__special_special_bessel_j1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8108653Z   test_torch__C__special_special_bessel_y0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8109089Z   test_torch__C__special_special_bessel_y1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8109647Z   test_torch__C__special_special_chebyshev_polynomial_t (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8110170Z   test_torch__C__special_special_chebyshev_polynomial_u (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8110681Z   test_torch__C__special_special_chebyshev_polynomial_v (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8111174Z   test_torch__C__special_special_chebyshev_polynomial_w (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8111649Z   test_torch__C__special_special_digamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8112122Z   test_torch__C__special_special_entr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8112583Z   test_torch__C__special_special_erf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8113025Z   test_torch__C__special_special_erfc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8113480Z   test_torch__C__special_special_erfcx (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8113942Z   test_torch__C__special_special_erfinv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8114388Z   test_torch__C__special_special_exp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8114844Z   test_torch__C__special_special_expit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8115306Z   test_torch__C__special_special_expm1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8115766Z   test_torch__C__special_special_gammainc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8116227Z   test_torch__C__special_special_gammaincc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8116690Z   test_torch__C__special_special_gammaln (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8117301Z   test_torch__C__special_special_hermite_polynomial_h (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8117804Z   test_torch__C__special_special_hermite_polynomial_he (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8118266Z   test_torch__C__special_special_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8118720Z   test_torch__C__special_special_i0e (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8119168Z   test_torch__C__special_special_i1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8119598Z   test_torch__C__special_special_i1e (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8120079Z   test_torch__C__special_special_laguerre_polynomial_l (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8120584Z   test_torch__C__special_special_legendre_polynomial_p (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8121066Z   test_torch__C__special_special_log1p (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8121513Z   test_torch__C__special_special_log_ndtr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8121988Z   test_torch__C__special_special_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8122520Z   test_torch__C__special_special_logit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8122999Z   test_torch__C__special_special_logsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8123463Z   test_torch__C__special_special_modified_bessel_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8123958Z   test_torch__C__special_special_modified_bessel_i1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8124444Z   test_torch__C__special_special_modified_bessel_k0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8124921Z   test_torch__C__special_special_modified_bessel_k1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8125416Z   test_torch__C__special_special_multigammaln (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8125892Z   test_torch__C__special_special_ndtr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8126355Z   test_torch__C__special_special_ndtri (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8126811Z   test_torch__C__special_special_polygamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8127273Z   test_torch__C__special_special_psi (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8127734Z   test_torch__C__special_special_round (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8128224Z   test_torch__C__special_special_scaled_modified_bessel_k0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8128724Z   test_torch__C__special_special_scaled_modified_bessel_k1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8129244Z   test_torch__C__special_special_shifted_chebyshev_polynomial_t (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8129783Z   test_torch__C__special_special_shifted_chebyshev_polynomial_u (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8130302Z   test_torch__C__special_special_shifted_chebyshev_polynomial_v (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8130829Z   test_torch__C__special_special_shifted_chebyshev_polynomial_w (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8131318Z   test_torch__C__special_special_sinc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8131781Z   test_torch__C__special_special_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8132249Z   test_torch__C__special_special_spherical_bessel_j0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8132813Z   test_torch__C__special_special_xlog1py (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8133279Z   test_torch__C__special_special_xlogy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8133746Z   test_torch__C__special_special_zeta (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8134171Z   test_torch__assert_async (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8134601Z   test_torch__conj_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8135039Z   test_torch__fw_primal_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8135458Z   test_torch__indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8135897Z   test_torch__lobpcg_lobpcg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8136684Z   test_torch__lowrank_pca_lowrank (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8137138Z   test_torch__lowrank_svd_lowrank (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8137563Z   test_torch__make_dual_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8138128Z   test_torch__neg_view_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8138584Z   test_torch__reshape_alias_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8139005Z   test_torch__rowwise_prune (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8139463Z   test_torch__sparse_broadcast_to_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8139909Z   test_torch__values_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8140317Z   test_torch_abs (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8140712Z   test_torch_absolute (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8141134Z   test_torch_acos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8141546Z   test_torch_acosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8141959Z   test_torch_adaptive_avg_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8142416Z   test_torch_adaptive_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8142840Z   test_torch_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8143252Z   test_torch_addbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8143648Z   test_torch_addcdiv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8144059Z   test_torch_addcmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8144468Z   test_torch_addmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8144869Z   test_torch_addmv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8145281Z   test_torch_addr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8145693Z   test_torch_adjoint (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8146131Z   test_torch_affine_grid_generator (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8146561Z   test_torch_alias_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8146973Z   test_torch_all (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8147384Z   test_torch_allclose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8147796Z   test_torch_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8148220Z   test_torch_amax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8148625Z   test_torch_amin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8149134Z   test_torch_aminmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8149543Z   test_torch_angle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8149948Z   test_torch_any (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8150347Z   test_torch_arccos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8150744Z   test_torch_arccosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8151158Z   test_torch_arcsin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8151565Z   test_torch_arcsinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8151948Z   test_torch_arctan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8152348Z   test_torch_arctan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8152755Z   test_torch_arctanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8153171Z   test_torch_argmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8153557Z   test_torch_argmin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8153963Z   test_torch_argsort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8154377Z   test_torch_argwhere (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8154858Z   test_torch_as_strided_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8155311Z   test_torch_as_strided_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8155730Z   test_torch_asin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8156134Z   test_torch_asinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8156522Z   test_torch_atan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8156926Z   test_torch_atan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8157336Z   test_torch_atanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8157739Z   test_torch_avg_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8158159Z   test_torch_baddbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8158581Z   test_torch_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8159036Z   test_torch_batch_norm_backward_elemt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8159486Z   test_torch_batch_norm_backward_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8159936Z   test_torch_batch_norm_elemt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8160380Z   test_torch_batch_norm_gather_stats (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8160839Z   test_torch_batch_norm_gather_stats_with_counts (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8161306Z   test_torch_batch_norm_stats (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8161748Z   test_torch_batch_norm_update_stats (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8162191Z   test_torch_bernoulli (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8162596Z   test_torch_bilinear (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8163058Z   test_torch_binary_cross_entropy_with_logits (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8163516Z   test_torch_bincount (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8163918Z   test_torch_binomial (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8164340Z   test_torch_bitwise_and (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8164781Z   test_torch_bitwise_left_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8165311Z   test_torch_bitwise_not (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8165718Z   test_torch_bitwise_or (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8166164Z   test_torch_bitwise_right_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8166600Z   test_torch_bitwise_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8166996Z   test_torch_bmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8167422Z   test_torch_broadcast_to (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8167843Z   test_torch_bucketize (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8168256Z   test_torch_cat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8168679Z   test_torch_ccol_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8169099Z   test_torch_ceil (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8169515Z   test_torch_celu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8169926Z   test_torch_channel_shuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8170357Z   test_torch_cholesky (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8170863Z   test_torch_cholesky_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8171314Z   test_torch_cholesky_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8171745Z   test_torch_choose_qparams_optimized (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8172177Z   test_torch_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8172580Z   test_torch_clamp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8172975Z   test_torch_clamp_max (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8173389Z   test_torch_clamp_min (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8173798Z   test_torch_clip (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8174181Z   test_torch_clone (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8174600Z   test_torch_col_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8175043Z   test_torch_column_stack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8175469Z   test_torch_combinations (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8175878Z   test_torch_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8176686Z   test_torch_concat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8177117Z   test_torch_concatenate (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8177514Z   test_torch_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8177946Z   test_torch_conj_physical (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8178384Z   test_torch_constant_pad_nd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8178808Z   test_torch_conv1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8179198Z   test_torch_conv2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8179610Z   test_torch_conv3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8180019Z   test_torch_conv_tbc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8180433Z   test_torch_conv_transpose1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8180883Z   test_torch_conv_transpose2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8181324Z   test_torch_conv_transpose3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8181803Z   test_torch_convolution (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8182372Z   test_torch_copysign (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8182793Z   test_torch_corrcoef (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8183199Z   test_torch_cos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8183588Z   test_torch_cosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8184033Z   test_torch_cosine_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8184480Z   test_torch_cosine_similarity (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8184919Z   test_torch_count_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8185311Z   test_torch_cov (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8185715Z   test_torch_cross (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8186135Z   test_torch_crow_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8186551Z   test_torch_ctc_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8186963Z   test_torch_cummax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8187375Z   test_torch_cummin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8187886Z   test_torch_cumprod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8188290Z   test_torch_cumsum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8188723Z   test_torch_cumulative_trapezoid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8189160Z   test_torch_deg2rad (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8189561Z   test_torch_dequantize (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8190029Z   test_torch_det (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8190435Z   test_torch_detach (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8190835Z   test_torch_detach_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8191253Z   test_torch_diag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8191667Z   test_torch_diag_embed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8192087Z   test_torch_diagflat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8192487Z   test_torch_diagonal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8192914Z   test_torch_diagonal_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8193355Z   test_torch_diagonal_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8193760Z   test_torch_diff (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8194167Z   test_torch_digamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8194575Z   test_torch_dist (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8194977Z   test_torch_div (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8195365Z   test_torch_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8195768Z   test_torch_dot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8196174Z   test_torch_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8196572Z   test_torch_dsmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8196979Z   test_torch_dsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8197390Z   test_torch_dstack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8197803Z   test_torch_embedding (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8198207Z   test_torch_embedding_bag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8198716Z   test_torch_empty_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8199127Z   test_torch_eq (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8199513Z   test_torch_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8199919Z   test_torch_erf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8200325Z   test_torch_erfc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8200716Z   test_torch_erfinv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8201122Z   test_torch_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8201523Z   test_torch_exp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8201936Z   test_torch_expand_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8202335Z   test_torch_expm1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8202789Z   test_torch_fake_quantize_per_channel_affine (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8203271Z   test_torch_fake_quantize_per_tensor_affine (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8203730Z   test_torch_fbgemm_linear_fp16_weight (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8204291Z   test_torch_fbgemm_linear_fp16_weight_fp32_activation (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8204778Z   test_torch_fbgemm_linear_int8_weight (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8205258Z   test_torch_fbgemm_linear_int8_weight_fp32_activation (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8205725Z   test_torch_fbgemm_linear_quantize_weight (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8206198Z   test_torch_fbgemm_pack_gemm_matrix_fp16 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8206671Z   test_torch_fbgemm_pack_quantized_matrix (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8207136Z   test_torch_feature_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8207573Z   test_torch_feature_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8207999Z   test_torch_fix (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8208405Z   test_torch_flatten (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8208801Z   test_torch_flip (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8209210Z   test_torch_fliplr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8209629Z   test_torch_flipud (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8210045Z   test_torch_float_power (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8210440Z   test_torch_floor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8210886Z   test_torch_floor_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8211299Z   test_torch_fmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8211685Z   test_torch_fmin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8212090Z   test_torch_fmod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8212490Z   test_torch_frac (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8212898Z   test_torch_frexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8213306Z   test_torch_frobenius_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8213726Z   test_torch_full_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8213946Z   test_torch_functional_atleast_1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8214168Z   test_torch_functional_atleast_2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8214467Z   test_torch_functional_atleast_3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8214667Z   test_torch_functional_block_diag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8214902Z   test_torch_functional_broadcast_tensors (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8215136Z   test_torch_functional_cartesian_prod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8215354Z   test_torch_functional_cdist (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8215580Z   test_torch_functional_chain_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8215794Z   test_torch_functional_einsum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8216004Z   test_torch_functional_lu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8216595Z   test_torch_functional_meshgrid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8216799Z   test_torch_functional_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8217020Z   test_torch_functional_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8217231Z   test_torch_functional_stft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8217579Z   test_torch_functional_tensordot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8217804Z   test_torch_functional_unique (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8218035Z   test_torch_functional_unique_consecutive (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8218265Z   test_torch_fused_moving_avg_obs_fake_quant (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8218465Z   test_torch_gather (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8218659Z   test_torch_gcd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8218833Z   test_torch_ge (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8219031Z   test_torch_geqrf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8219223Z   test_torch_ger (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8219428Z   test_torch_gradient (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8219633Z   test_torch_greater (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8219839Z   test_torch_greater_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8220047Z   test_torch_grid_sampler (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8220255Z   test_torch_grid_sampler_2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8220446Z   test_torch_grid_sampler_3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8220658Z   test_torch_group_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8220849Z   test_torch_gru (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8221048Z   test_torch_gru_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8221234Z   test_torch_gt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8221441Z   test_torch_hardshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8221644Z   test_torch_heaviside (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8221860Z   test_torch_hinge_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8222038Z   test_torch_histc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8222241Z   test_torch_histogram (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8222445Z   test_torch_histogramdd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8222780Z   test_torch_hsmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8222977Z   test_torch_hsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8223171Z   test_torch_hstack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8223367Z   test_torch_hypot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8223563Z   test_torch_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8223744Z   test_torch_igamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8223942Z   test_torch_igammac (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8224133Z   test_torch_imag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8224331Z   test_torch_index_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8224535Z   test_torch_index_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8224740Z   test_torch_index_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8224943Z   test_torch_index_put (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8225131Z   test_torch_index_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8225384Z   test_torch_index_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8225593Z   test_torch_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8225787Z   test_torch_inner (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8225997Z   test_torch_instance_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8226193Z   test_torch_int_repr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8226390Z   test_torch_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8226593Z   test_torch_is_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8226774Z   test_torch_is_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8226986Z   test_torch_is_distributed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8227201Z   test_torch_is_floating_point (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8227412Z   test_torch_is_inference (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8227607Z   test_torch_is_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8227805Z   test_torch_is_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8228005Z   test_torch_is_same_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8228200Z   test_torch_is_signed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8228398Z   test_torch_isclose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8228586Z   test_torch_isfinite (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8228775Z   test_torch_isin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8228970Z   test_torch_isinf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8229169Z   test_torch_isnan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8229368Z   test_torch_isneginf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8229568Z   test_torch_isposinf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8229765Z   test_torch_isreal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8229940Z   test_torch_istft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8230132Z   test_torch_kl_div (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8230322Z   test_torch_kron (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8230587Z   test_torch_kthvalue (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8230790Z   test_torch_layer_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8230981Z   test_torch_lcm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8231175Z   test_torch_ldexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8231371Z   test_torch_le (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8231547Z   test_torch_lerp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8231743Z   test_torch_less (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8231948Z   test_torch_less_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8232142Z   test_torch_lgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8232330Z   test_torch_log (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8232522Z   test_torch_log10 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8232722Z   test_torch_log1p (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8232915Z   test_torch_log2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8233100Z   test_torch_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8233355Z   test_torch_logaddexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8233571Z   test_torch_logaddexp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8233778Z   test_torch_logcumsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8233971Z   test_torch_logdet (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8234175Z   test_torch_logical_and (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8234381Z   test_torch_logical_not (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8234591Z   test_torch_logical_or (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8234776Z   test_torch_logical_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8234976Z   test_torch_logit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8235174Z   test_torch_logsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8235370Z   test_torch_lstm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8235570Z   test_torch_lstm_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8235759Z   test_torch_lt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8235958Z   test_torch_lu_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8236158Z   test_torch_lu_unpack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8236356Z   test_torch_margin_ranking_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8236568Z   test_torch_masked_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8236779Z   test_torch_masked_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8236986Z   test_torch_masked_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8237182Z   test_torch_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8237388Z   test_torch_matrix_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8237594Z   test_torch_matrix_power (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8237783Z   test_torch_max (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8237966Z   test_torch_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8238192Z   test_torch_max_pool1d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8238395Z   test_torch_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8238667Z   test_torch_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8238863Z   test_torch_maximum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8239056Z   test_torch_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8239256Z   test_torch_median (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8239448Z   test_torch_min (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8239627Z   test_torch_minimum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8239842Z   test_torch_miopen_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8240057Z   test_torch_miopen_convolution (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8240300Z   test_torch_miopen_convolution_add_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8240528Z   test_torch_miopen_convolution_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8240764Z   test_torch_miopen_convolution_transpose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8240994Z   test_torch_miopen_depthwise_convolution (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8241304Z   test_torch_miopen_rnn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8241512Z   test_torch_mode (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8241697Z   test_torch_moveaxis (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8241893Z   test_torch_movedim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8242088Z   test_torch_msort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8242279Z   test_torch_mul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8242484Z   test_torch_multinomial (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8242695Z   test_torch_multiply (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8242885Z   test_torch_mv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8243064Z   test_torch_mvlgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8243270Z   test_torch_nan_to_num (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8243469Z   test_torch_nanmean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8243672Z   test_torch_nanmedian (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8243879Z   test_torch_nanquantile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8244076Z   test_torch_nansum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8244271Z   test_torch_narrow (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8244476Z   test_torch_narrow_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8244680Z   test_torch_native_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8244904Z   test_torch_native_channel_shuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8245112Z   test_torch_native_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8245332Z   test_torch_native_group_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8245542Z   test_torch_native_layer_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8245745Z   test_torch_native_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8245937Z   test_torch_ne (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8246131Z   test_torch_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8246332Z   test_torch_negative (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8246602Z   test_torch_nextafter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8246824Z   test_torch_nn_functional__threshold (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8247072Z   test_torch_nn_functional_adaptive_avg_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8247323Z   test_torch_nn_functional_adaptive_avg_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8247564Z   test_torch_nn_functional_adaptive_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8247823Z   test_torch_nn_functional_adaptive_max_pool1d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8248063Z   test_torch_nn_functional_adaptive_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8248325Z   test_torch_nn_functional_adaptive_max_pool2d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8248553Z   test_torch_nn_functional_adaptive_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8248809Z   test_torch_nn_functional_adaptive_max_pool3d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8249034Z   test_torch_nn_functional_affine_grid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8249321Z   test_torch_nn_functional_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8249549Z   test_torch_nn_functional_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8249791Z   test_torch_nn_functional_binary_cross_entropy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8250045Z   test_torch_nn_functional_binary_cross_entropy_with_logits (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8250260Z   test_torch_nn_functional_celu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8250508Z   test_torch_nn_functional_cosine_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8250723Z   test_torch_nn_functional_cross_entropy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8250942Z   test_torch_nn_functional_ctc_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8251164Z   test_torch_nn_functional_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8251388Z   test_torch_nn_functional_dropout1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8251607Z   test_torch_nn_functional_dropout2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8251822Z   test_torch_nn_functional_dropout3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8252034Z   test_torch_nn_functional_elu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8252254Z   test_torch_nn_functional_embedding (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8252471Z   test_torch_nn_functional_embedding_bag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8252714Z   test_torch_nn_functional_feature_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8252930Z   test_torch_nn_functional_fold (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8253167Z   test_torch_nn_functional_fractional_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8253422Z   test_torch_nn_functional_fractional_max_pool2d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8253660Z   test_torch_nn_functional_fractional_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8253925Z   test_torch_nn_functional_fractional_max_pool3d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8254161Z   test_torch_nn_functional_gaussian_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8254442Z   test_torch_nn_functional_glu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8254656Z   test_torch_nn_functional_grid_sample (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8254882Z   test_torch_nn_functional_group_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8255113Z   test_torch_nn_functional_gumbel_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8255339Z   test_torch_nn_functional_hardtanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8255579Z   test_torch_nn_functional_hinge_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8255803Z   test_torch_nn_functional_huber_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8256284Z   test_torch_nn_functional_instance_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8256539Z   test_torch_nn_functional_interpolate (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8256758Z   test_torch_nn_functional_kl_div (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8256957Z   test_torch_nn_functional_l1_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8257320Z   test_torch_nn_functional_layer_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8257550Z   test_torch_nn_functional_leaky_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8257787Z   test_torch_nn_functional_local_response_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8258012Z   test_torch_nn_functional_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8258234Z   test_torch_nn_functional_lp_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8258461Z   test_torch_nn_functional_lp_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8258695Z   test_torch_nn_functional_margin_ranking_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8258898Z   test_torch_nn_functional_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8259145Z   test_torch_nn_functional_max_pool1d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8259366Z   test_torch_nn_functional_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8259607Z   test_torch_nn_functional_max_pool2d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8259828Z   test_torch_nn_functional_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8260070Z   test_torch_nn_functional_max_pool3d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8260296Z   test_torch_nn_functional_max_unpool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8260525Z   test_torch_nn_functional_max_unpool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8260749Z   test_torch_nn_functional_max_unpool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8260946Z   test_torch_nn_functional_mish (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8261164Z   test_torch_nn_functional_mse_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8261416Z   test_torch_nn_functional_multi_head_attention_forward (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8261649Z   test_torch_nn_functional_multi_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8261893Z   test_torch_nn_functional_multilabel_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8262139Z   test_torch_nn_functional_multilabel_soft_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8262453Z   test_torch_nn_functional_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8262674Z   test_torch_nn_functional_normalize (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8262886Z   test_torch_nn_functional_pad (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8263106Z   test_torch_nn_functional_poisson_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8263324Z   test_torch_nn_functional_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8263544Z   test_torch_nn_functional_relu6 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8263757Z   test_torch_nn_functional_rrelu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8263970Z   test_torch_nn_functional_selu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8264185Z   test_torch_nn_functional_silu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8264416Z   test_torch_nn_functional_smooth_l1_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8264647Z   test_torch_nn_functional_soft_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8264894Z   test_torch_nn_functional_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8265122Z   test_torch_nn_functional_softmin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8265343Z   test_torch_nn_functional_softsign (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8265565Z   test_torch_nn_functional_tanhshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8265804Z   test_torch_nn_functional_triplet_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8266064Z   test_torch_nn_functional_triplet_margin_with_distance_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8266289Z   test_torch_nn_functional_unfold (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8266499Z   test_torch_nn_init_constant_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8266723Z   test_torch_nn_init_kaiming_uniform_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8266915Z   test_torch_nn_init_normal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8267127Z   test_torch_nn_init_uniform_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8267332Z   test_torch_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8267541Z   test_torch_norm_except_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8267741Z   test_torch_not_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8267948Z   test_torch_nuclear_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8268147Z   test_torch_numel (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8268343Z   test_torch_ones_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8268520Z   test_torch_orgqr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8268717Z   test_torch_ormqr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8268906Z   test_torch_outer (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8269121Z   test_torch_pairwise_distance (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8269315Z   test_torch_pdist (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8269512Z   test_torch_permute (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8269718Z   test_torch_permute_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8269917Z   test_torch_pinverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8270205Z   test_torch_pixel_shuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8270418Z   test_torch_pixel_unshuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8270618Z   test_torch_poisson (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8270833Z   test_torch_poisson_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8271031Z   test_torch_polar (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8271234Z   test_torch_polygamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8271435Z   test_torch_positive (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8271629Z   test_torch_pow (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8271809Z   test_torch_prelu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8272008Z   test_torch_prod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8272201Z   test_torch_put (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8272417Z   test_torch_q_per_channel_axis (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8272638Z   test_torch_q_per_channel_scales (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8272942Z   test_torch_q_per_channel_zero_points (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8273147Z   test_torch_q_scale (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8273350Z   test_torch_q_zero_point (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8273526Z   test_torch_qr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8273725Z   test_torch_quantile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8273941Z   test_torch_quantize_per_channel (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8274165Z   test_torch_quantize_per_tensor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8274395Z   test_torch_quantize_per_tensor_dynamic (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8274614Z   test_torch_quantized_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8274834Z   test_torch_quantized_gru_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8275046Z   test_torch_quantized_lstm_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8275244Z   test_torch_quantized_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8275458Z   test_torch_quantized_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8275677Z   test_torch_quantized_rnn_relu_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8275898Z   test_torch_quantized_rnn_tanh_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8276104Z   test_torch_rad2deg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8276304Z   test_torch_rand_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8276506Z   test_torch_randint_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8276708Z   test_torch_randn_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8276884Z   test_torch_ravel (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8277077Z   test_torch_real (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8277282Z   test_torch_reciprocal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8277473Z   test_torch_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8277671Z   test_torch_remainder (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8277865Z   test_torch_renorm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8278177Z   test_torch_repeat_interleave (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8278382Z   test_torch_reshape (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8278569Z   test_torch_resolve_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8278774Z   test_torch_resolve_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8278972Z   test_torch_rnn_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8279178Z   test_torch_rnn_relu_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8279375Z   test_torch_rnn_tanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8279582Z   test_torch_rnn_tanh_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8279774Z   test_torch_roll (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8279970Z   test_torch_rot90 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8280145Z   test_torch_round (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8280358Z   test_torch_row_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8280556Z   test_torch_row_stack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8280797Z   test_torch_rrelu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8280994Z   test_torch_rsqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8281186Z   test_torch_rsub (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8281381Z   test_torch_saddmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8281674Z   test_torch_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8281867Z   test_torch_scatter_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8282082Z   test_torch_scatter_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8282289Z   test_torch_searchsorted (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8282496Z   test_torch_segment_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8282694Z   test_torch_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8282898Z   test_torch_select_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8283104Z   test_torch_select_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8283296Z   test_torch_selu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8283471Z   test_torch_sgn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8283667Z   test_torch_sigmoid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8283858Z   test_torch_sign (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8284057Z   test_torch_signbit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8284245Z   test_torch_sin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8284434Z   test_torch_sinc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8284627Z   test_torch_sinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8284832Z   test_torch_slice_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8285020Z   test_torch_slice_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8285215Z   test_torch_slogdet (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8285405Z   test_torch_smm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8285601Z   test_torch_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8285789Z   test_torch_sort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8286064Z   test_torch_split_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8286274Z   test_torch_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8286495Z   test_torch_split_with_sizes_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8286671Z   test_torch_sqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8286866Z   test_torch_square (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8287061Z   test_torch_squeeze (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8287266Z   test_torch_squeeze_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8287458Z   test_torch_stack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8287648Z   test_torch_std (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8287846Z   test_torch_std_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8288040Z   test_torch_sub (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8288220Z   test_torch_subtract (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8288405Z   test_torch_sum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8288643Z   test_torch_svd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8288851Z   test_torch_swapaxes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8289049Z   test_torch_swapdims (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8289243Z   test_torch_symeig (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8289430Z   test_torch_t (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8289626Z   test_torch_t_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8289861Z   test_torch_take (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8290072Z   test_torch_take_along_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8290262Z   test_torch_tan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8290448Z   test_torch_tanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8290657Z   test_torch_tensor_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8290856Z   test_torch_threshold (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8291049Z   test_torch_tile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8291240Z   test_torch_topk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8291418Z   test_torch_trace (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8291618Z   test_torch_transpose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8291834Z   test_torch_transpose_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8292040Z   test_torch_trapezoid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8292237Z   test_torch_trapz (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8292448Z   test_torch_triangular_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8292643Z   test_torch_tril (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8292862Z   test_torch_triplet_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8293036Z   test_torch_triu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8293242Z   test_torch_true_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8293438Z   test_torch_trunc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8293635Z   test_torch_unbind (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8293907Z   test_torch_unbind_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8294106Z   test_torch_unflatten (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8294308Z   test_torch_unfold_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8294513Z   test_torch_unsafe_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8294697Z   test_torch_unsafe_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8294921Z   test_torch_unsafe_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8295124Z   test_torch_unsqueeze (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8295336Z   test_torch_unsqueeze_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8295541Z   test_torch_values_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8295732Z   test_torch_var (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8295936Z   test_torch_var_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8296521Z   test_torch_vdot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8296725Z   test_torch_view_as_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8297068Z   test_torch_view_as_complex_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8297279Z   test_torch_view_as_real (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8297494Z   test_torch_view_as_real_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8297694Z   test_torch_view_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8297890Z   test_torch_vsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8298087Z   test_torch_vstack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8298282Z   test_torch_where (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8298462Z   test_torch_xlogy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8298661Z   test_torch_zeros_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T03:19:25.8298868Z   test_user_implementation_raises (__main__.TestTorchFunctionOverride)
2022-11-23T03:19:25.8299093Z Test that errors raised in user implementations propagate correctly ... ok (0.001s)
2022-11-23T03:19:25.8299319Z   test_warn_on_invalid_torch_function (__main__.TestTorchFunctionWarning) ... ok (0.017s)
2022-11-23T03:19:25.8299517Z   test_wrap_torch_function (__main__.TestWrapTorchFunction) ... ok (0.001s)
2022-11-23T03:19:25.8299547Z 
2022-11-23T03:19:25.8299981Z ----------------------------------------------------------------------
2022-11-23T03:19:25.8300100Z Ran 1415 tests in 3.578s
2022-11-23T03:19:25.8300120Z 
2022-11-23T03:19:25.8300195Z OK
2022-11-23T03:19:25.8300234Z 
2022-11-23T03:19:25.8300345Z Generating XML reports...
2022-11-23T03:19:25.8300820Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestBroadcastAllOverride-20221123031921.xml
2022-11-23T03:19:25.8301250Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestDisabledTorchFunction-20221123031921.xml
2022-11-23T03:19:25.8301648Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestEinsumOverride-20221123031921.xml
2022-11-23T03:19:25.8302052Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestGradCheckOverride-20221123031921.xml
2022-11-23T03:19:25.8302464Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestGradNewOnesOverride-20221123031921.xml
2022-11-23T03:19:25.8302826Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestIndexing-20221123031921.xml
2022-11-23T03:19:25.8303191Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestIterator-20221123031921.xml
2022-11-23T03:19:25.8303657Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestNamedTuple-20221123031921.xml
2022-11-23T03:19:25.8304025Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestPickle-20221123031921.xml
2022-11-23T03:19:25.8304377Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestRNN-20221123031921.xml
2022-11-23T03:19:25.8304754Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestResolveName-20221123031921.xml
2022-11-23T03:19:25.8305164Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionMode-20221123031921.xml
2022-11-23T03:19:25.8305581Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionOverride-20221123031921.xml
2022-11-23T03:19:25.8305999Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionWarning-20221123031921.xml
2022-11-23T03:19:25.8306398Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestWrapTorchFunction-20221123031921.xml
2022-11-23T03:19:25.8306424Z 
2022-11-23T03:19:25.8306927Z ##[endgroup]
2022-11-23T03:19:25.8307304Z FINISHED PRINTING LOG FILE of test_overrides (/var/lib/jenkins/workspace/test/test-reports/test_overrides_2yvnh4qj)
2022-11-23T03:19:25.8307323Z 
2022-11-23T03:19:25.8307557Z Running test_show_pickle ... [2022-11-23 03:19:25.777230]
2022-11-23T03:19:25.8308062Z Executing ['/opt/conda/bin/python', '-bb', 'test_show_pickle.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 03:19:25.777673]
2022-11-23T03:19:30.8389302Z 
2022-11-23T03:19:30.8389917Z Expand the folded group to see the log file of test_show_pickle
2022-11-23T03:19:30.8391336Z ##[group]PRINTING LOG FILE of test_show_pickle (/var/lib/jenkins/workspace/test/test-reports/test_show_pickle_rgixc0_j)
2022-11-23T03:19:30.8391739Z 
2022-11-23T03:19:30.8391912Z Running tests...
2022-11-23T03:19:30.8392769Z ----------------------------------------------------------------------
2022-11-23T03:19:30.8393799Z Test results will be stored in test-reports/python-unittest/test_show_pickle
2022-11-23T03:19:30.8394230Z   test_scripted_model (__main__.TestShowPickle) ... ok (2.012s)
2022-11-23T03:19:30.8394439Z 
2022-11-23T03:19:30.8394720Z ----------------------------------------------------------------------
2022-11-23T03:19:30.8395075Z Ran 1 test in 2.012s
2022-11-23T03:19:30.8395406Z 
2022-11-23T03:19:30.8395553Z OK
2022-11-23T03:19:30.8395677Z 
2022-11-23T03:19:30.8395814Z Generating XML reports...
2022-11-23T03:19:30.8396407Z Generated XML report: test-reports/python-unittest/test_show_pickle/TEST-TestShowPickle-20221123031928.xml
2022-11-23T03:19:30.8396983Z 
2022-11-23T03:19:30.8397331Z ##[endgroup]
2022-11-23T03:19:30.8397777Z FINISHED PRINTING LOG FILE of test_show_pickle (/var/lib/jenkins/workspace/test/test-reports/test_show_pickle_rgixc0_j)
2022-11-23T03:19:30.8398132Z 
2022-11-23T03:19:30.8398332Z Running test_dispatch ... [2022-11-23 03:19:30.838921]
2022-11-23T03:19:30.8398902Z Executing ['/opt/conda/bin/python', '-bb', 'test_dispatch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 03:19:30.839334]
2022-11-23T03:20:12.0520529Z 
2022-11-23T03:20:12.0521179Z Expand the folded group to see the log file of test_dispatch
2022-11-23T03:20:12.0525877Z ##[group]PRINTING LOG FILE of test_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_dispatch_x07qofk2)
2022-11-23T03:20:12.0526230Z 
2022-11-23T03:20:12.0526416Z Running tests...
2022-11-23T03:20:12.0527449Z ----------------------------------------------------------------------
2022-11-23T03:20:12.0528054Z Test results will be stored in test-reports/python-unittest/test_dispatch
2022-11-23T03:20:12.0528458Z   test_all_invariants (__main__.TestDispatch) ... ok (1.974s)
2022-11-23T03:20:12.0530567Z   test_computed_table (__main__.TestDispatch) ... ok (11.015s)
2022-11-23T03:20:12.0531303Z   test_computed_table_with_ambiguous_autogradother (__main__.TestDispatch) ... ok (0.018s)
2022-11-23T03:20:12.0532119Z   test_computed_table_with_autograd (__main__.TestDispatch) ... ok (0.003s)
2022-11-23T03:20:12.0533403Z   test_computed_table_with_cpu_autograd_defaultbackend (__main__.TestDispatch) ... ok (0.312s)
2022-11-23T03:20:12.0534188Z   test_computed_table_with_cpu_autograd_math (__main__.TestDispatch) ... ok (0.332s)
2022-11-23T03:20:12.0535214Z   test_computed_table_with_cpu_autograd_math_defaultbackend (__main__.TestDispatch) ... ok (10.359s)
2022-11-23T03:20:12.0536124Z   test_computed_table_with_cpu_defaultbackend (__main__.TestDispatch) ... ok (0.016s)
2022-11-23T03:20:12.0537333Z   test_computed_table_with_cpu_math (__main__.TestDispatch) ... ok (0.018s)
2022-11-23T03:20:12.0538220Z   test_computed_table_with_cpu_math_autogradcpu_fallthrough (__main__.TestDispatch) ... ok (0.003s)
2022-11-23T03:20:12.0539169Z   test_computed_table_with_math (__main__.TestDispatch) ... ok (0.003s)
2022-11-23T03:20:12.0539713Z   test_def (__main__.TestDispatch) ... ok (10.538s)
2022-11-23T03:20:12.0540433Z   test_def_impl_schema_mismatch (__main__.TestDispatch) ... ok (0.015s)
2022-11-23T03:20:12.0541004Z   test_def_only (__main__.TestDispatch) ... ok (0.001s)
2022-11-23T03:20:12.0541821Z   test_def_with_explicit_alias (__main__.TestDispatch) ... ok (0.001s)
2022-11-23T03:20:12.0542506Z   test_def_with_inference (__main__.TestDispatch) ... ok (0.353s)
2022-11-23T03:20:12.0543672Z   test_dispatch_print_registrations_for_dispatch_key_invalid (__main__.TestDispatch) ... ok (0.003s)
2022-11-23T03:20:12.0544505Z   test_find_dangling_impls (__main__.TestDispatch) ... ok (0.001s)
2022-11-23T03:20:12.0545492Z   test_find_dangling_impls_ext (__main__.TestDispatch) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu116 as PyTorch extensions root...
2022-11-23T03:20:12.0546508Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu116/dangling_impl_extension...
2022-11-23T03:20:12.0547513Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu116/dangling_impl_extension/build.ninja...
2022-11-23T03:20:12.0548349Z Building extension module dangling_impl_extension...
2022-11-23T03:20:12.0549084Z Using envvar MAX_JOBS (14) as the number of workers...
2022-11-23T03:20:12.0552554Z [1/2] c++ -MMD -MF dangling_impl_extension.o.d -DTORCH_EXTENSION_NAME=dangling_impl_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -g -c /var/lib/jenkins/workspace/test/cpp_extensions/dangling_impl_extension.cpp -o dangling_impl_extension.o 
2022-11-23T03:20:12.0555775Z [2/2] c++ dangling_impl_extension.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o dangling_impl_extension.so
2022-11-23T03:20:12.0556830Z Loading extension module dangling_impl_extension...
2022-11-23T03:20:12.0557402Z ok (2.230s)
2022-11-23T03:20:12.0558026Z   test_impl_only (__main__.TestDispatch) ... ok (0.326s)
2022-11-23T03:20:12.0558879Z   test_multiple_def_alias_defaulting (__main__.TestDispatch) ... ok (0.011s)
2022-11-23T03:20:12.0559619Z   test_multiple_def_alias_mismatch (__main__.TestDispatch) ... ok (0.012s)
2022-11-23T03:20:12.0560366Z   test_multiple_def_error (__main__.TestDispatch) ... ok (0.011s)
2022-11-23T03:20:12.0561136Z   test_multiple_fallback (__main__.TestDispatch) ... ok (0.013s)
2022-11-23T03:20:12.0562190Z   test_overwrite_math (__main__.TestDispatch) ... [W OperatorEntry.cpp:159] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key
2022-11-23T03:20:12.0563136Z   operator: __test45643__::foo
2022-11-23T03:20:12.0563689Z     no debug info
2022-11-23T03:20:12.0564171Z   dispatch key: (catch all)
2022-11-23T03:20:12.0565213Z   previous kernel: fn1
2022-11-23T03:20:12.0565753Z        new kernel: fn2 (function registerKernel)
2022-11-23T03:20:12.0566647Z [W OperatorEntry.cpp:159] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key
2022-11-23T03:20:12.0567500Z   operator: __test45644__::foo
2022-11-23T03:20:12.0567869Z     no debug info
2022-11-23T03:20:12.0568326Z   dispatch key: (catch all)
2022-11-23T03:20:12.0568879Z   previous kernel: fn1
2022-11-23T03:20:12.0569393Z        new kernel: fn2 (function registerKernel)
2022-11-23T03:20:12.0569945Z ok (0.002s)
2022-11-23T03:20:12.0570551Z   test_autogradother (__main__.TestPythonDispatcher) ... ok (0.002s)
2022-11-23T03:20:12.0571337Z   test_basic (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T03:20:12.0572072Z   test_defaultbackend_autogradcpu (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T03:20:12.0572907Z   test_defaultbackend_math (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T03:20:12.0573837Z   test_duplicate_registrations (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T03:20:12.0574647Z   test_math_autogradcpu (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T03:20:12.0575544Z   test_quantized_structured_not_implemented (__main__.TestPythonDispatcher) ... ok (0.027s)
2022-11-23T03:20:12.0576616Z 
2022-11-23T03:20:12.0577581Z ----------------------------------------------------------------------
2022-11-23T03:20:12.0578147Z Ran 32 tests in 37.611s
2022-11-23T03:20:12.0578461Z 
2022-11-23T03:20:12.0578632Z OK
2022-11-23T03:20:12.0578970Z 
2022-11-23T03:20:12.0579135Z Generating XML reports...
2022-11-23T03:20:12.0580219Z Generated XML report: test-reports/python-unittest/test_dispatch/TEST-TestDispatch-20221123031933.xml
2022-11-23T03:20:12.0581540Z Generated XML report: test-reports/python-unittest/test_dispatch/TEST-TestPythonDispatcher-20221123031933.xml
2022-11-23T03:20:12.0582183Z 
2022-11-23T03:20:12.0583052Z ##[endgroup]
2022-11-23T03:20:12.0584233Z FINISHED PRINTING LOG FILE of test_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_dispatch_x07qofk2)
2022-11-23T03:20:12.0584684Z 
2022-11-23T03:20:12.0585104Z Running test_torch ... [2022-11-23 03:20:12.052109]
2022-11-23T03:20:12.0586276Z Executing ['/opt/conda/bin/python', '-bb', 'test_torch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 03:20:12.052561]
2022-11-23T03:22:28.7698860Z 
2022-11-23T03:22:28.7702495Z Expand the folded group to see the log file of test_torch
2022-11-23T03:22:28.7703909Z ##[group]PRINTING LOG FILE of test_torch (/var/lib/jenkins/workspace/test/test-reports/test_torch_lmfg306f)
2022-11-23T03:22:28.7704207Z 
2022-11-23T03:22:28.7704312Z Running tests...
2022-11-23T03:22:28.7704922Z ----------------------------------------------------------------------
2022-11-23T03:22:28.7707309Z Test results will be stored in test-reports/python-unittest/test_torch
2022-11-23T03:22:28.7707817Z   test_basic_vitals (__main__.TestBasicVitalSigns) ... ok (0.001s)
2022-11-23T03:22:28.7708266Z   test_basic_vitals_read_write (__main__.TestBasicVitalSigns) ... ok (0.001s)
2022-11-23T03:22:28.7708702Z   test_dataloader_vitals (__main__.TestBasicVitalSigns) ... ok (0.002s)
2022-11-23T03:22:28.7709221Z   test_advancedindex_mixed_cpu_devices_cuda (__main__.TestDevicePrecisionCUDA) ... [TORCH_VITAL] Dataloader.basic_unit_test		 TEST_VALUE_STRING
2022-11-23T03:22:28.7713326Z [TORCH_VITAL] CUDA.used		 true
2022-11-23T03:22:28.7713787Z [TORCH_VITAL] Dataloader.basic_unit_test		 TEST_VALUE_STRING
2022-11-23T03:22:28.7714332Z [TORCH_VITAL] CUDA.used		 true
2022-11-23T03:22:28.7714657Z [TORCH_VITAL] Dataloader.enabled		 True
2022-11-23T03:22:28.7714963Z [TORCH_VITAL] Dataloader.basic_unit_test		 TEST_VALUE_STRING
2022-11-23T03:22:28.7715574Z [TORCH_VITAL] CUDA.used		 true
2022-11-23T03:22:28.7715860Z ok (0.010s)
2022-11-23T03:22:28.7716320Z   test_advancedindex_mixed_devices_error_cuda (__main__.TestDevicePrecisionCUDA) ... ok (0.026s)
2022-11-23T03:22:28.7717330Z   test_clamp_cuda_float32 (__main__.TestDevicePrecisionCUDA) ... ok (0.027s)
2022-11-23T03:22:28.7717761Z   test_clamp_cuda_float64 (__main__.TestDevicePrecisionCUDA) ... ok (0.024s)
2022-11-23T03:22:28.7718455Z   test_clamp_cuda_int64 (__main__.TestDevicePrecisionCUDA) ... ok (0.017s)
2022-11-23T03:22:28.7718884Z   test_copy_broadcast_cuda (__main__.TestDevicePrecisionCUDA) ... ok (0.004s)
2022-11-23T03:22:28.7719470Z   test_copy_noncontig_cuda (__main__.TestDevicePrecisionCUDA) ... ok (0.004s)
2022-11-23T03:22:28.7720032Z   test_cuda_device_idx_cuda (__main__.TestDevicePrecisionCUDA) ... ok (0.003s)
2022-11-23T03:22:28.7720506Z   test_device_serialization_cuda (__main__.TestDevicePrecisionCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7721260Z   test_from_sequence_cuda_float16 (__main__.TestDevicePrecisionCUDA) ... ok (0.004s)
2022-11-23T03:22:28.7722090Z   test_from_sequence_cuda_float32 (__main__.TestDevicePrecisionCUDA) ... ok (0.003s)
2022-11-23T03:22:28.7722931Z   test_from_sequence_cuda_float64 (__main__.TestDevicePrecisionCUDA) ... ok (0.003s)
2022-11-23T03:22:28.7723770Z   test_from_sequence_cuda_int16 (__main__.TestDevicePrecisionCUDA) ... ok (0.003s)
2022-11-23T03:22:28.7724714Z   test_from_sequence_cuda_int32 (__main__.TestDevicePrecisionCUDA) ... ok (0.003s)
2022-11-23T03:22:28.7725518Z   test_from_sequence_cuda_int64 (__main__.TestDevicePrecisionCUDA) ... ok (0.003s)
2022-11-23T03:22:28.7726518Z   test_from_sequence_cuda_int8 (__main__.TestDevicePrecisionCUDA) ... ok (0.003s)
2022-11-23T03:22:28.7727312Z   test_from_sequence_cuda_uint8 (__main__.TestDevicePrecisionCUDA) ... ok (0.003s)
2022-11-23T03:22:28.7728079Z   test_index_add_bfloat16_cuda (__main__.TestDevicePrecisionCUDA) ... ok (0.004s)
2022-11-23T03:22:28.7728969Z   test_multidevice_serialization_cuda (__main__.TestDevicePrecisionCUDA) ... skip: fewer than 2 devices detected (0.002s)
2022-11-23T03:22:28.7729990Z   test_type_conversions_same_device_cuda (__main__.TestDevicePrecisionCUDA) ... skip: fewer than 2 devices detected (0.002s)
2022-11-23T03:22:28.7730741Z   test_RNGState (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7731339Z   test_RNGStateAliasing (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7731921Z   test_RNG_after_pickle (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7732546Z   test_Size (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7733142Z   test_Size_iter (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7733728Z   test_Size_scalar (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7734261Z   test_add_meta_scalar (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7734879Z   test_allow_tensor_metadata_change (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7735488Z   test_apply (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7736462Z   test_as_subclass (__main__.TestTorch) ... ok (0.007s)
2022-11-23T03:22:28.7737100Z   test_assert_async (__main__.TestTorch) ... ok (0.024s)
2022-11-23T03:22:28.7737876Z   test_backward_hooks_traverse (__main__.TestTorch) ... ok (0.120s)
2022-11-23T03:22:28.7738618Z   test_batch_norm_cpu_inference (__main__.TestTorch) ... ok (0.008s)
2022-11-23T03:22:28.7739602Z   test_bmm_multithreaded (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:22:28.7740723Z   torch.bmm(b1, b2, out=res2)
2022-11-23T03:22:28.7741608Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:22:28.7742631Z   torch.bmm(b1, b2, out=res2)
2022-11-23T03:22:28.7743518Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:22:28.7744340Z   torch.bmm(b1, b2, out=res2)
2022-11-23T03:22:28.7745275Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:22:28.7746126Z   torch.bmm(b1, b2, out=res2)
2022-11-23T03:22:28.7747008Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:22:28.7747834Z   torch.bmm(b1, b2, out=res2)
2022-11-23T03:22:28.7748707Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:22:28.7749521Z   torch.bmm(b1, b2, out=res2)
2022-11-23T03:22:28.7750402Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:22:28.7751205Z   torch.bmm(b1, b2, out=res2)
2022-11-23T03:22:28.7752089Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:22:28.7752929Z   torch.bmm(b1, b2, out=res2)
2022-11-23T03:22:28.7753810Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:22:28.7754725Z   torch.bmm(b1, b2, out=res2)
2022-11-23T03:22:28.7755618Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:22:28.7756455Z   torch.bmm(b1, b2, out=res2)
2022-11-23T03:22:28.7757354Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:22:28.7758189Z   torch.bmm(b1, b2, out=res2)
2022-11-23T03:22:28.7759055Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:22:28.7759884Z   torch.bmm(b1, b2, out=res2)
2022-11-23T03:22:28.7760750Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:22:28.7761641Z   torch.bmm(b1, b2, out=res2)
2022-11-23T03:22:28.7762539Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T03:22:28.7763347Z   torch.bmm(b1, b2, out=res2)
2022-11-23T03:22:28.7763610Z ok (0.840s)
2022-11-23T03:22:28.7763924Z   test_boxMullerState (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7764353Z   test_c10_layer_norm (__main__.TestTorch) ... skip: Pytorch is compiled without Caffe2 (0.001s)
2022-11-23T03:22:28.7764735Z   test_cat_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7765100Z   test_chunk_neg_dim (__main__.TestTorch) ... ok (0.009s)
2022-11-23T03:22:28.7765458Z   test_conj_neg_tolist (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7765783Z   test_contains (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7766236Z   test_copy_broadcast (__main__.TestTorch) ... ok (0.007s)
2022-11-23T03:22:28.7766586Z   test_copy_dtypes (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7766911Z   test_copy_float16 (__main__.TestTorch) ... ok (0.115s)
2022-11-23T03:22:28.7767264Z   test_copy_many_to_one (__main__.TestTorch) ... ok (0.007s)
2022-11-23T03:22:28.7768407Z   test_copy_transpose (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:7647: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T03:22:28.7769079Z   x = torch.arange(100 * 100).reshape(100, 100).to(dtype=torch.complex32).t()
2022-11-23T03:22:28.7769376Z ok (0.006s)
2022-11-23T03:22:28.7769862Z   test_cuda_not_built (__main__.TestTorch) ... skip: CUDA is built, can't test CUDA not built error (0.001s)
2022-11-23T03:22:28.7770285Z   test_cummax_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7770641Z   test_cummin_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7770972Z   test_cumprod_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7771326Z   test_cumsum_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7771662Z   test_cxx_flags (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7772752Z   test_dead_weak_ref (__main__.TestTorch) ... [W python_variable.cpp:318] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2022-11-23T03:22:28.7773423Z ok (0.005s)
2022-11-23T03:22:28.7773731Z   test_deepcopy_gradient (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7774111Z   test_deepcopy_parameter (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7774466Z   test_deterministic_flag (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7774822Z   test_device (__main__.TestTorch) ... ok (0.026s)
2022-11-23T03:22:28.7775146Z   test_dir (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7775441Z   test_doc (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7775766Z   test_doc_template (__main__.TestTorch)
2022-11-23T03:22:28.7776528Z Test that all public API doc strings use the same standard template for ... ok (0.027s)
2022-11-23T03:22:28.7776914Z   test_dot_data_use (__main__.TestTorch) ... ok (0.015s)
2022-11-23T03:22:28.7777246Z   test_dtype_is_signed (__main__.TestTorch) ... ok (0.006s)
2022-11-23T03:22:28.7778182Z   test_element_size (__main__.TestTorch) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:22:28.7778818Z   warnings.warn(message, UserWarning)
2022-11-23T03:22:28.7779087Z ok (0.004s)
2022-11-23T03:22:28.7779379Z   test_empty_meta (__main__.TestTorch) ... ok (0.009s)
2022-11-23T03:22:28.7779807Z   test_empty_storage_view (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7780155Z   test_equal (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7780496Z   test_error_msg_type_translation (__main__.TestTorch) ... ok (0.014s)
2022-11-23T03:22:28.7780872Z   test_fill_diagonal (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7781231Z   test_format_scalar_meta (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7781561Z   test_from_buffer (__main__.TestTorch) ... ok (0.005s)
2022-11-23T03:22:28.7781896Z   test_from_file (__main__.TestTorch) ... ok (0.006s)
2022-11-23T03:22:28.7782243Z   test_gather_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7782575Z   test_generator_cpu (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7782936Z   test_has_internal_overlap (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7783455Z   test_has_storage (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7783793Z   test_index_add (__main__.TestTorch) ... ok (0.087s)
2022-11-23T03:22:28.7784125Z   test_index_add_all_dtypes (__main__.TestTorch) ... ok (0.041s)
2022-11-23T03:22:28.7784491Z   test_index_add_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7784857Z   test_index_copy_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7785201Z   test_index_fill_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7785565Z   test_index_select_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7785946Z   test_invalid_generator_raises (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7786288Z   test_is_nonzero (__main__.TestTorch) ... ok (0.007s)
2022-11-23T03:22:28.7786979Z   test_is_same_size (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:5704: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2022-11-23T03:22:28.7787682Z   nt1 = torch.nested.nested_tensor([torch.ones(2, 4), torch.ones(3, 4), torch.ones(5, 4)])
2022-11-23T03:22:28.7788021Z ok (0.009s)
2022-11-23T03:22:28.7788279Z   test_iter (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7788727Z   test_kthvalue_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7789107Z   test_logcumsumexp_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7789441Z   test_manual_seed (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7789776Z   test_map (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7790105Z   test_map2 (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7790440Z   test_max_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7790757Z   test_mean_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7791102Z   test_median_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7791459Z   test_memory_format (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7791866Z   test_memory_format_contiguous_returns_same_tensor_if_already_satisfies (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7792290Z   test_memory_format_empty (__main__.TestTorch) ... ok (0.012s)
2022-11-23T03:22:28.7792642Z   test_min_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7792967Z   test_mode_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7793435Z   test_multinomial_invalid_probs (__main__.TestTorch) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T03:22:28.7793892Z   test_nanmedian_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7794252Z   test_narrow_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7794573Z   test_ndim (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7794899Z   test_new (__main__.TestTorch) ... ok (0.007s)
2022-11-23T03:22:28.7795265Z   test_newaxis_numpy_comparison (__main__.TestTorch) ... ok (0.008s)
2022-11-23T03:22:28.7795607Z   test_newindex (__main__.TestTorch) ... ok (0.011s)
2022-11-23T03:22:28.7796004Z   test_norm_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7796353Z   test_normal_shape (__main__.TestTorch) ... ok (0.068s)
2022-11-23T03:22:28.7796668Z   test_numel (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7797009Z   test_parallel_info (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7797368Z   test_parsing_double (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7797728Z   test_parsing_int64 (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7798440Z   test_parsing_intlist (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:6185: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
2022-11-23T03:22:28.7799544Z Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
2022-11-23T03:22:28.7800061Z   self.assertRaises(TypeError, lambda: torch.ones((np.float(3.), torch.tensor(4))))
2022-11-23T03:22:28.7800411Z ok (0.004s)
2022-11-23T03:22:28.7800679Z   test_permute (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7801013Z   test_pickle (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7801356Z   test_pickle_dtype (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7801698Z   test_pickle_function (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7802061Z   test_pickle_parameter (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7802446Z   test_pickle_parameter_no_requires_grad (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7802800Z   test_pickle_size (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7803150Z   test_pin_memory (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7804069Z   test_print (__main__.TestTorch) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:22:28.7804702Z   warnings.warn(message, UserWarning)
2022-11-23T03:22:28.7805041Z ok (0.403s)
2022-11-23T03:22:28.7805346Z   test_prod_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7805705Z   test_pyobj_preserved (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7806032Z   test_qengine (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7806377Z   test_renorm_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7806739Z   test_resurrected_weak_ref (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7807099Z   test_reversed (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7807420Z   test_scatter_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7807780Z   test_select_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7808185Z   test_set_flush_denormal (__main__.TestTorch) ... skip: flush_denormal not supported (0.002s)
2022-11-23T03:22:28.7808591Z   test_setting_real_imag_to_a_number (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7808958Z   test_show_config (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7809318Z   test_size_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7809660Z   test_sizeof (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7809968Z   test_slice (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7810409Z   test_slow_test (__main__.TestTorch) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T03:22:28.7810853Z   test_sobolengine_bounds (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7811226Z   test_sobolengine_bounds_scrambled (__main__.TestTorch) ... ok (0.033s)
2022-11-23T03:22:28.7811625Z   test_sobolengine_continuing (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7812022Z   test_sobolengine_continuing_scrambled (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7812403Z   test_sobolengine_distribution (__main__.TestTorch) ... ok (0.006s)
2022-11-23T03:22:28.7812804Z   test_sobolengine_distribution_scrambled (__main__.TestTorch) ... ok (0.010s)
2022-11-23T03:22:28.7813199Z   test_sobolengine_draw (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7813583Z   test_sobolengine_draw_base2 (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7813954Z   test_sobolengine_draw_base2_scrambled (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7814358Z   test_sobolengine_draw_scrambled (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7814748Z   test_sobolengine_fast_forward (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7815134Z   test_sobolengine_fast_forward_scrambled (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7815545Z   test_sobolengine_first_point (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7816403Z   test_sobolengine_high_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7816791Z   test_sobolengine_raise (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7817133Z   test_sobolengine_reset (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7817519Z   test_sobolengine_reset_scrambled (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7817889Z   test_sort_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7818217Z   test_split_neg_dim (__main__.TestTorch) ... ok (0.005s)
2022-11-23T03:22:28.7818576Z   test_squeeze_neg_dim (__main__.TestTorch) ... ok (0.006s)
2022-11-23T03:22:28.7818917Z   test_std_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7819238Z   test_storage_casts (__main__.TestTorch) ... ok (0.017s)
2022-11-23T03:22:28.7819582Z   test_storage_error (__main__.TestTorch) ... ok (0.062s)
2022-11-23T03:22:28.7819955Z   test_storage_error_no_attribute (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7820339Z   test_structseq_repr (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7821483Z   test_subclass_preserved (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7821851Z   test_subclass_tensors (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7822201Z   test_sum_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7822677Z   test_t_not_2d_error (__main__.TestTorch) ... ok (0.012s)
2022-11-23T03:22:28.7823040Z   test_tensor_base_init (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7823398Z   test_tensor_base_new (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7823737Z   test_tensor_ctor_scalar (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7824112Z   test_tensor_cycle_via_dict (__main__.TestTorch) ... ok (0.238s)
2022-11-23T03:22:28.7824490Z   test_tensor_cycle_via_slots (__main__.TestTorch) ... ok (0.120s)
2022-11-23T03:22:28.7824862Z   test_tensor_dict_dealloc (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7825224Z   test_tensor_finalizer_dealloc (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7825587Z   test_tensor_set (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7825940Z   test_tensor_set_errors (__main__.TestTorch) ... ok (0.045s)
2022-11-23T03:22:28.7826281Z   test_tensor_slot_dealloc (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7826662Z   test_tensor_weakref_dealloc (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7827055Z   test_tensoriterator_output_setup (__main__.TestTorch) ... ok (0.206s)
2022-11-23T03:22:28.7827902Z   test_to (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:7733: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2022-11-23T03:22:28.7828637Z   a = torch.tensor([[0, 1, 2], [2, 0, 3]]).to_sparse_csr()
2022-11-23T03:22:28.7828929Z ok (0.012s)
2022-11-23T03:22:28.7829226Z   test_to_with_tensor (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7829546Z   test_topk_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7829897Z   test_torch_from_file (__main__.TestTorch) ... ok (0.005s)
2022-11-23T03:22:28.7830261Z   test_transpose_neg_dim (__main__.TestTorch) ... ok (0.006s)
2022-11-23T03:22:28.7830604Z   test_type (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7830919Z   test_type_alias (__main__.TestTorch) ... ok (0.001s)
2022-11-23T03:22:28.7831286Z   test_type_conversion_via_dtype_name (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7831701Z   test_typed_storage_deprecation_warning (__main__.TestTorch) ... ok (0.005s)
2022-11-23T03:22:28.7832810Z   test_typed_storage_internal_no_warning (__main__.TestTorch) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:22:28.7833601Z   warnings.warn(message, UserWarning)
2022-11-23T03:22:28.7833887Z ok (0.004s)
2022-11-23T03:22:28.7834185Z   test_unbind_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T03:22:28.7834514Z   test_unflatten (__main__.TestTorch) ... ok (0.029s)
2022-11-23T03:22:28.7834862Z   test_unfold_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7835220Z   test_unsqueeze_neg_dim (__main__.TestTorch) ... ok (0.005s)
2022-11-23T03:22:28.7835567Z   test_upsample_nearest1d_meta (__main__.TestTorch) ... ok (0.016s)
2022-11-23T03:22:28.7835954Z   test_upsample_nearest2d_meta (__main__.TestTorch) ... ok (0.015s)
2022-11-23T03:22:28.7836321Z   test_var_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T03:22:28.7836651Z   test_wildcard_import (__main__.TestTorch) ... ok (0.002s)
2022-11-23T03:22:28.7837060Z   test_addcdiv_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.7837519Z   test_addcdiv_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.7837966Z   test_addcdiv_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.7838370Z   test_addcdiv_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.7838865Z   test_addcdiv_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.7839310Z   test_addcdiv_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.7839720Z   test_addcdiv_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.7840152Z   test_addcdiv_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.7840577Z   test_addcdiv_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.7841013Z   test_addcdiv_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.7841435Z   test_addcmul_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.7841888Z   test_addcmul_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.7842331Z   test_addcmul_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7842741Z   test_addcmul_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7843192Z   test_addcmul_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7843617Z   test_addcmul_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7844049Z   test_addcmul_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7844445Z   test_addcmul_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.7844872Z   test_addcmul_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7845289Z   test_addcmul_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7845759Z   test_assertRaisesRegex_ignore_msg_non_native_device_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T03:22:28.7846359Z   test_bernoulli_edge_cases_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T03:22:28.7847001Z   test_bernoulli_edge_cases_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T03:22:28.7847632Z   test_bernoulli_edge_cases_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2022-11-23T03:22:28.7848145Z   test_bernoulli_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.021s)
2022-11-23T03:22:28.7848612Z   test_bernoulli_p_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.7849071Z   test_bernoulli_p_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.7849671Z   test_bernoulli_p_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.7850092Z   test_bernoulli_self_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7850542Z   test_bernoulli_self_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7851005Z   test_bernoulli_self_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7851429Z   test_bernoulli_self_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.7851871Z   test_bernoulli_self_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7852316Z   test_bernoulli_self_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7852759Z   test_bernoulli_self_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7853181Z   test_bernoulli_self_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7853632Z   test_bernoulli_self_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7854113Z   test_bfloat16_float_copy_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:22:28.7854598Z   test_bool_tensor_value_change_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.7855101Z   test_broadcast_fn_add_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.038s)
2022-11-23T03:22:28.7855569Z   test_broadcast_fn_addcdiv_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.039s)
2022-11-23T03:22:28.7856316Z   test_broadcast_fn_addcmul_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.038s)
2022-11-23T03:22:28.7856753Z   test_broadcast_fn_atan2_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.035s)
2022-11-23T03:22:28.7857206Z   test_broadcast_fn_copy_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.034s)
2022-11-23T03:22:28.7857654Z   test_broadcast_fn_dist_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.7858108Z   test_broadcast_fn_div_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.035s)
2022-11-23T03:22:28.7858526Z   test_broadcast_fn_eq_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.034s)
2022-11-23T03:22:28.7858964Z   test_broadcast_fn_fmod_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.035s)
2022-11-23T03:22:28.7859410Z   test_broadcast_fn_ge_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.034s)
2022-11-23T03:22:28.7859819Z   test_broadcast_fn_gt_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.034s)
2022-11-23T03:22:28.7860242Z   test_broadcast_fn_le_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.034s)
2022-11-23T03:22:28.7860685Z   test_broadcast_fn_lerp_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.035s)
2022-11-23T03:22:28.7861175Z   test_broadcast_fn_lt_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.034s)
2022-11-23T03:22:28.7861595Z   test_broadcast_fn_map2_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T03:22:28.7862049Z   test_broadcast_fn_map_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T03:22:28.7862505Z   test_broadcast_fn_masked_fill_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.038s)
2022-11-23T03:22:28.7862952Z   test_broadcast_fn_masked_scatter_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.037s)
2022-11-23T03:22:28.7863429Z   test_broadcast_fn_masked_select_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.7863888Z   test_broadcast_fn_max_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7864328Z   test_broadcast_fn_min_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7864740Z   test_broadcast_fn_mul_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.034s)
2022-11-23T03:22:28.7865174Z   test_broadcast_fn_ne_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.034s)
2022-11-23T03:22:28.7865604Z   test_broadcast_fn_pow_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.035s)
2022-11-23T03:22:28.7866191Z   test_broadcast_fn_remainder_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.035s)
2022-11-23T03:22:28.7866645Z   test_broadcast_fn_sub_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.035s)
2022-11-23T03:22:28.7867770Z   test_bytes_to_scalar_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:22:28.7868468Z   warnings.warn(message, UserWarning)
2022-11-23T03:22:28.7868726Z ok (0.005s)
2022-11-23T03:22:28.7869081Z   test_bytes_to_scalar_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T03:22:28.7869549Z   test_bytes_to_scalar_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7869998Z   test_bytes_to_scalar_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T03:22:28.7870464Z   test_bytes_to_scalar_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7870916Z   test_bytes_to_scalar_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.7871375Z   test_bytes_to_scalar_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.7871889Z   test_bytes_to_scalar_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7872356Z   test_bytes_to_scalar_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7872803Z   test_bytes_to_scalar_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7873250Z   test_cauchy_kstest_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.383s)
2022-11-23T03:22:28.7873675Z   test_cauchy_kstest_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T03:22:28.7874130Z   test_cauchy_kstest_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T03:22:28.7874585Z   test_cauchy_kstest_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T03:22:28.7875098Z   test_cauchy_no_inf_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T03:22:28.7875709Z   test_cauchy_no_inf_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T03:22:28.7876239Z   test_cdist_cuda_backward_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (1.819s)
2022-11-23T03:22:28.7876674Z   test_cdist_empty_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7877093Z   test_cdist_euclidean_large_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7877548Z   test_cdist_grad_p_lt_1_no_nan_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.7878096Z   test_cdist_large_batch_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T03:22:28.7878619Z   test_cdist_large_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.038s)
2022-11-23T03:22:28.7879048Z   test_cdist_non_contiguous_batch_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7879515Z   test_cdist_non_contiguous_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.7879969Z   test_cdist_norm_batch_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.325s)
2022-11-23T03:22:28.7880377Z   test_cdist_norm_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.314s)
2022-11-23T03:22:28.7880814Z   test_cdist_same_inputs_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7881285Z   test_clone_all_dtypes_and_devices_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T03:22:28.7881750Z   test_clone_not_memory_dense_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.7882176Z   test_clone_zero_stride_dim_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.7882763Z   test_complex_half_experimental_warning_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.7883253Z   test_constants_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:22:28.7883755Z   test_conv_transposed_backward_agnostic_to_memory_format_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.919s)
2022-11-23T03:22:28.7884304Z   test_conv_transposed_large_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: Insufficient cuda:0 memory (0.211s)
2022-11-23T03:22:28.7885064Z   test_copy__cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:5218: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:275.)
2022-11-23T03:22:28.7885660Z   t.copy_(src)
2022-11-23T03:22:28.7885884Z ok (0.010s)
2022-11-23T03:22:28.7886232Z   test_copy__cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.7886674Z   test_copy__cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.7887087Z   test_copy__cuda_complex32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T03:22:28.7887522Z   test_copy__cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.7888021Z   test_copy__cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.7888468Z   test_copy__cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7888876Z   test_copy__cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7889321Z   test_copy__cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T03:22:28.7889747Z   test_copy__cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T03:22:28.7890141Z   test_copy__cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T03:22:28.7890567Z   test_copy__cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T03:22:28.7890987Z   test_copy__cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.7891429Z   test_copy_all_dtypes_and_devices_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7891861Z   test_copy_math_view_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.340s)
2022-11-23T03:22:28.7892326Z   test_copy_mem_overlap_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.024s)
2022-11-23T03:22:28.7892809Z   test_copy_transpose_math_view_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7893272Z   test_copy_transpose_math_view_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7893754Z   test_copy_transpose_math_view_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.7894449Z   test_corrcoef_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:1918: UserWarning: cov(): degrees of freedom is <= 0 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Correlation.cpp:117.)
2022-11-23T03:22:28.7895026Z   res = torch.corrcoef(x)
2022-11-23T03:22:28.7895624Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:380: RuntimeWarning: Mean of empty slice.
2022-11-23T03:22:28.7896015Z   avg = a.mean(axis)
2022-11-23T03:22:28.7896925Z /opt/conda/lib/python3.10/site-packages/numpy/core/_methods.py:181: RuntimeWarning: invalid value encountered in true_divide
2022-11-23T03:22:28.7897342Z   ret = um.true_divide(
2022-11-23T03:22:28.7897854Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:2683: RuntimeWarning: Degrees of freedom <= 0 for slice
2022-11-23T03:22:28.7898275Z   c = cov(x, y, rowvar, dtype=dtype)
2022-11-23T03:22:28.7898858Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:2542: RuntimeWarning: divide by zero encountered in true_divide
2022-11-23T03:22:28.7899420Z   c *= np.true_divide(1, fact)
2022-11-23T03:22:28.7899976Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:2542: RuntimeWarning: invalid value encountered in multiply
2022-11-23T03:22:28.7900394Z   c *= np.true_divide(1, fact)
2022-11-23T03:22:28.7900657Z ok (0.016s)
2022-11-23T03:22:28.7900984Z   test_corrcoef_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T03:22:28.7901428Z   test_corrcoef_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T03:22:28.7902114Z   test_cov_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:1925: UserWarning: cov(): degrees of freedom is <= 0 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Correlation.cpp:117.)
2022-11-23T03:22:28.7902754Z   res = torch.cov(t, correction=correction, fweights=fweights, aweights=aweights)
2022-11-23T03:22:28.7903224Z /var/lib/jenkins/workspace/test/test_torch.py:1929: RuntimeWarning: Degrees of freedom <= 0 for slice
2022-11-23T03:22:28.7903689Z   ref = np.cov(t, ddof=correction, fweights=fweights, aweights=aweights)
2022-11-23T03:22:28.7904308Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:412: RuntimeWarning: invalid value encountered in multiply
2022-11-23T03:22:28.7904767Z   avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl
2022-11-23T03:22:28.7905080Z ok (0.131s)
2022-11-23T03:22:28.7905505Z   test_cov_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.122s)
2022-11-23T03:22:28.7905918Z   test_cov_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.108s)
2022-11-23T03:22:28.7906377Z   test_cpp_warnings_have_python_context_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.214s)
2022-11-23T03:22:28.7906884Z   test_cublas_config_nondeterministic_alert_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (52.550s)
2022-11-23T03:22:28.7907354Z   test_cummax_cummin_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.031s)
2022-11-23T03:22:28.7907779Z   test_cummax_discontiguous_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.7908248Z   test_cummin_discontiguous_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T03:22:28.7908693Z   test_cumprod_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.7909093Z   test_cumsum_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.7910139Z   test_deepcopy_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:22:28.7910821Z   warnings.warn(message, UserWarning)
2022-11-23T03:22:28.7911109Z ok (0.035s)
2022-11-23T03:22:28.7911439Z   test_deepcopy_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.034s)
2022-11-23T03:22:28.7911904Z   test_deepcopy_scalar_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.7912384Z   test_deepcopy_scalar_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.7912892Z   test_device_guard_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: fewer than 2 devices detected (0.004s)
2022-11-23T03:22:28.7913338Z   test_diff_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.082s)
2022-11-23T03:22:28.7913770Z   test_diff_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.100s)
2022-11-23T03:22:28.7914215Z   test_diff_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.101s)
2022-11-23T03:22:28.7914962Z   test_diff_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1292: RuntimeWarning: overflow encountered in subtract
2022-11-23T03:22:28.7915458Z   a = op(a[slice1], a[slice2])
2022-11-23T03:22:28.7915720Z ok (0.095s)
2022-11-23T03:22:28.7916060Z   test_diff_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.094s)
2022-11-23T03:22:28.7916545Z   test_diff_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.093s)
2022-11-23T03:22:28.7916960Z   test_diff_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.079s)
2022-11-23T03:22:28.7917366Z   test_diff_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.079s)
2022-11-23T03:22:28.7917754Z   test_diff_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.078s)
2022-11-23T03:22:28.7918149Z   test_diff_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.080s)
2022-11-23T03:22:28.7918553Z   test_diff_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.080s)
2022-11-23T03:22:28.7918973Z   test_diff_noncontig_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.073s)
2022-11-23T03:22:28.7919411Z   test_diff_noncontig_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.091s)
2022-11-23T03:22:28.7919875Z   test_diff_noncontig_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.092s)
2022-11-23T03:22:28.7920331Z   test_diff_noncontig_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.087s)
2022-11-23T03:22:28.7920767Z   test_diff_noncontig_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.086s)
2022-11-23T03:22:28.7921209Z   test_diff_noncontig_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.084s)
2022-11-23T03:22:28.7921651Z   test_diff_noncontig_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.071s)
2022-11-23T03:22:28.7922159Z   test_diff_noncontig_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.072s)
2022-11-23T03:22:28.7922594Z   test_diff_noncontig_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.069s)
2022-11-23T03:22:28.7923035Z   test_diff_noncontig_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.074s)
2022-11-23T03:22:28.7923472Z   test_diff_noncontig_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.071s)
2022-11-23T03:22:28.7923893Z   test_dim_function_empty_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.029s)
2022-11-23T03:22:28.7924335Z   test_discontiguous_out_cumsum_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.7924766Z   test_dist_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7925213Z   test_errors_index_copy_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:22:28.7925661Z   test_expected_failure_xla_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.7926110Z   test_exponential_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7926552Z   test_exponential_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7926981Z   test_exponential_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7927422Z   test_exponential_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7927878Z   test_exponential_kstest_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.7928346Z   test_exponential_kstest_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.7928791Z   test_exponential_kstest_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.7929299Z   test_exponential_kstest_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T03:22:28.7929769Z   test_exponential_no_zero_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T03:22:28.7930217Z   test_exponential_no_zero_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.7930693Z   test_gather_backward_deterministic_path_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.7931199Z   test_gather_backward_one_dim_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:22:28.7931676Z   test_geometric_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.7932095Z   test_geometric_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.7932639Z   test_geometric_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.7933068Z   test_geometric_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.7933484Z   test_geometric_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.7933926Z   test_geometric_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.7934351Z   test_geometric_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.7934786Z   test_geometric_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.7935198Z   test_geometric_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.7935650Z   test_geometric_kstest_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7936456Z   test_geometric_kstest_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7936941Z   test_geometric_kstest_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.7937375Z   test_geometric_kstest_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.7937833Z   test_geometric_kstest_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.7938416Z   test_geometric_kstest_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.7938851Z   test_geometric_kstest_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.7939302Z   test_geometric_kstest_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7939761Z   test_geometric_kstest_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7940216Z   test_gradient_all_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.333s)
2022-11-23T03:22:28.7940637Z   test_gradient_all_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.267s)
2022-11-23T03:22:28.7941541Z   test_gradient_all_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1084: RuntimeWarning: divide by zero encountered in true_divide
2022-11-23T03:22:28.7942097Z   a = -(dx2)/(dx1 * (dx1 + dx2))
2022-11-23T03:22:28.7942636Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1085: RuntimeWarning: divide by zero encountered in true_divide
2022-11-23T03:22:28.7943099Z   b = (dx2 - dx1) / (dx1 * dx2)
2022-11-23T03:22:28.7943645Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1092: RuntimeWarning: invalid value encountered in multiply
2022-11-23T03:22:28.7944145Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T03:22:28.7944728Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1092: RuntimeWarning: invalid value encountered in add
2022-11-23T03:22:28.7945221Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T03:22:28.7945854Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1101: RuntimeWarning: divide by zero encountered in true_divide
2022-11-23T03:22:28.7946414Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_0
2022-11-23T03:22:28.7946998Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1086: RuntimeWarning: divide by zero encountered in true_divide
2022-11-23T03:22:28.7947417Z   c = dx1 / (dx2 * (dx1 + dx2))
2022-11-23T03:22:28.7947977Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1108: RuntimeWarning: divide by zero encountered in true_divide
2022-11-23T03:22:28.7948507Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_n
2022-11-23T03:22:28.7949119Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1108: RuntimeWarning: invalid value encountered in true_divide
2022-11-23T03:22:28.7949666Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_n
2022-11-23T03:22:28.7950401Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1123: RuntimeWarning: divide by zero encountered in double_scalars
2022-11-23T03:22:28.7950869Z   a = -(2. * dx1 + dx2)/(dx1 * (dx1 + dx2))
2022-11-23T03:22:28.7951432Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1124: RuntimeWarning: divide by zero encountered in double_scalars
2022-11-23T03:22:28.7951860Z   b = (dx1 + dx2) / (dx1 * dx2)
2022-11-23T03:22:28.7952386Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1127: RuntimeWarning: invalid value encountered in multiply
2022-11-23T03:22:28.7952886Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T03:22:28.7953488Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1127: RuntimeWarning: invalid value encountered in add
2022-11-23T03:22:28.7953971Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T03:22:28.7954577Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1140: RuntimeWarning: divide by zero encountered in double_scalars
2022-11-23T03:22:28.7955041Z   a = (dx2) / (dx1 * (dx1 + dx2))
2022-11-23T03:22:28.7955600Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1141: RuntimeWarning: divide by zero encountered in double_scalars
2022-11-23T03:22:28.7956138Z   b = - (dx2 + dx1) / (dx1 * dx2)
2022-11-23T03:22:28.7956669Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1144: RuntimeWarning: invalid value encountered in multiply
2022-11-23T03:22:28.7957160Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T03:22:28.7957762Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1144: RuntimeWarning: invalid value encountered in add
2022-11-23T03:22:28.7958215Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T03:22:28.7958838Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1101: RuntimeWarning: invalid value encountered in true_divide
2022-11-23T03:22:28.7959395Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_0
2022-11-23T03:22:28.7960004Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1125: RuntimeWarning: divide by zero encountered in double_scalars
2022-11-23T03:22:28.7960452Z   c = - dx1 / (dx2 * (dx1 + dx2))
2022-11-23T03:22:28.7961103Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1142: RuntimeWarning: divide by zero encountered in double_scalars
2022-11-23T03:22:28.7961551Z   c = (2. * dx2 + dx1) / (dx2 * (dx1 + dx2))
2022-11-23T03:22:28.7961823Z ok (0.270s)
2022-11-23T03:22:28.7962170Z   test_gradient_extreme_cases_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.086s)
2022-11-23T03:22:28.7962661Z   test_gradient_extreme_cases_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.078s)
2022-11-23T03:22:28.7963135Z   test_gradient_extreme_cases_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.077s)
2022-11-23T03:22:28.7963983Z   test_gradient_type_promotion_cuda (__main__.TestTorchDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1080: ComplexWarning: Casting complex values to real discards the imaginary part
2022-11-23T03:22:28.7964671Z   out[tuple(slice1)] = (f[tuple(slice4)] - f[tuple(slice2)]) / (2. * ax_dx)
2022-11-23T03:22:28.7965326Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1101: ComplexWarning: Casting complex values to real discards the imaginary part
2022-11-23T03:22:28.7965899Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_0
2022-11-23T03:22:28.7966515Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1108: ComplexWarning: Casting complex values to real discards the imaginary part
2022-11-23T03:22:28.7967097Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_n
2022-11-23T03:22:28.7968469Z /opt/conda/lib/python3.10/site-packages/torch/testing/_comparison.py:599: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:205.)
2022-11-23T03:22:28.7969546Z   return torch.as_tensor(tensor_like)
2022-11-23T03:22:28.7970170Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1127: ComplexWarning: Casting complex values to real discards the imaginary part
2022-11-23T03:22:28.7970666Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T03:22:28.7971317Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1144: ComplexWarning: Casting complex values to real discards the imaginary part
2022-11-23T03:22:28.7971843Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T03:22:28.7972493Z /opt/conda/lib/python3.10/site-packages/numpy/lib/function_base.py:1092: ComplexWarning: Casting complex values to real discards the imaginary part
2022-11-23T03:22:28.7972986Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2022-11-23T03:22:28.7973382Z ok (0.106s)
2022-11-23T03:22:28.7973725Z   test_hook_remove_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.7974152Z   test_index_add_deterministic_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.043s)
2022-11-23T03:22:28.7974604Z   test_index_add_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.027s)
2022-11-23T03:22:28.7975047Z   test_index_copy_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.022s)
2022-11-23T03:22:28.7975485Z   test_index_copy_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.7975910Z   test_index_copy_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.023s)
2022-11-23T03:22:28.7976689Z   test_index_copy_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.024s)
2022-11-23T03:22:28.7977140Z   test_index_copy_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.023s)
2022-11-23T03:22:28.7977561Z   test_index_copy_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.022s)
2022-11-23T03:22:28.7977996Z   test_index_copy_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.022s)
2022-11-23T03:22:28.7978420Z   test_index_copy_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.7978843Z   test_index_copy_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.7979243Z   test_index_copy_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.018s)
2022-11-23T03:22:28.7979667Z   test_index_copy_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.7980090Z   test_index_copy_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.7980527Z   test_index_copy_deterministic_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (3.189s)
2022-11-23T03:22:28.7980985Z   test_index_copy_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.024s)
2022-11-23T03:22:28.7981445Z   test_index_copy_scalars_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7981903Z   test_index_copy_scalars_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7982348Z   test_index_copy_scalars_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7982824Z   test_index_copy_scalars_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7983292Z   test_index_copy_scalars_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7983726Z   test_index_copy_scalars_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7984412Z   test_index_copy_scalars_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.7984867Z   test_index_copy_scalars_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7985315Z   test_index_copy_scalars_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.7985748Z   test_index_copy_scalars_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7986197Z   test_index_copy_scalars_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.7986647Z   test_index_copy_scalars_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7987073Z   test_index_fill_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7987514Z   test_index_fill_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7987947Z   test_index_fill_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.7988401Z   test_index_fill_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.7988824Z   test_index_fill_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7989252Z   test_index_fill_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7989764Z   test_index_fill_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7990186Z   test_index_fill_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7990610Z   test_index_fill_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7991021Z   test_index_fill_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7991444Z   test_index_fill_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.7991847Z   test_index_fill_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.7992297Z   test_index_fill_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T03:22:28.7992755Z   test_index_put_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.038s)
2022-11-23T03:22:28.7993211Z   test_index_put_non_accumulate_deterministic_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.018s)
2022-11-23T03:22:28.7993981Z   test_index_reduce_reduce_amax_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:2967: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/Indexing.cu:1047.)
2022-11-23T03:22:28.7994693Z   dest.index_reduce_(dim, idx, src, reduce, include_self=include_self)
2022-11-23T03:22:28.7995004Z ok (0.133s)
2022-11-23T03:22:28.7995343Z   test_index_reduce_reduce_amax_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.131s)
2022-11-23T03:22:28.7995816Z   test_index_reduce_reduce_amax_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.132s)
2022-11-23T03:22:28.7996274Z   test_index_reduce_reduce_amax_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.128s)
2022-11-23T03:22:28.7996739Z   test_index_reduce_reduce_amax_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.110s)
2022-11-23T03:22:28.7997185Z   test_index_reduce_reduce_amax_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.109s)
2022-11-23T03:22:28.7997652Z   test_index_reduce_reduce_amax_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.106s)
2022-11-23T03:22:28.7998118Z   test_index_reduce_reduce_amax_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.109s)
2022-11-23T03:22:28.7998586Z   test_index_reduce_reduce_amax_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.109s)
2022-11-23T03:22:28.7999040Z   test_index_reduce_reduce_amin_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.131s)
2022-11-23T03:22:28.7999515Z   test_index_reduce_reduce_amin_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.131s)
2022-11-23T03:22:28.8000064Z   test_index_reduce_reduce_amin_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.131s)
2022-11-23T03:22:28.8000508Z   test_index_reduce_reduce_amin_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.128s)
2022-11-23T03:22:28.8000968Z   test_index_reduce_reduce_amin_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.109s)
2022-11-23T03:22:28.8001436Z   test_index_reduce_reduce_amin_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.108s)
2022-11-23T03:22:28.8001896Z   test_index_reduce_reduce_amin_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.106s)
2022-11-23T03:22:28.8002334Z   test_index_reduce_reduce_amin_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.110s)
2022-11-23T03:22:28.8002796Z   test_index_reduce_reduce_amin_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.109s)
2022-11-23T03:22:28.8003274Z   test_index_reduce_reduce_mean_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.153s)
2022-11-23T03:22:28.8003728Z   test_index_reduce_reduce_mean_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.152s)
2022-11-23T03:22:28.8004199Z   test_index_reduce_reduce_mean_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.154s)
2022-11-23T03:22:28.8004656Z   test_index_reduce_reduce_mean_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.148s)
2022-11-23T03:22:28.8005194Z   test_index_reduce_reduce_mean_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.128s)
2022-11-23T03:22:28.8005649Z   test_index_reduce_reduce_mean_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.128s)
2022-11-23T03:22:28.8006109Z   test_index_reduce_reduce_mean_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.124s)
2022-11-23T03:22:28.8006566Z   test_index_reduce_reduce_mean_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.128s)
2022-11-23T03:22:28.8007028Z   test_index_reduce_reduce_mean_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.130s)
2022-11-23T03:22:28.8007483Z   test_index_reduce_reduce_prod_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.131s)
2022-11-23T03:22:28.8007967Z   test_index_reduce_reduce_prod_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.131s)
2022-11-23T03:22:28.8008563Z   test_index_reduce_reduce_prod_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.132s)
2022-11-23T03:22:28.8009026Z   test_index_reduce_reduce_prod_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.127s)
2022-11-23T03:22:28.8009495Z   test_index_reduce_reduce_prod_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.109s)
2022-11-23T03:22:28.8009951Z   test_index_reduce_reduce_prod_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.110s)
2022-11-23T03:22:28.8010408Z   test_index_reduce_reduce_prod_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.106s)
2022-11-23T03:22:28.8010848Z   test_index_reduce_reduce_prod_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.110s)
2022-11-23T03:22:28.8011315Z   test_index_reduce_reduce_prod_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.109s)
2022-11-23T03:22:28.8011776Z   test_index_select_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T03:22:28.8012199Z   test_index_select_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T03:22:28.8012651Z   test_index_select_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T03:22:28.8013108Z   test_index_select_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T03:22:28.8013558Z   test_index_select_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T03:22:28.8013982Z   test_index_select_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T03:22:28.8014421Z   test_index_select_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T03:22:28.8014858Z   test_index_select_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T03:22:28.8015290Z   test_index_select_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T03:22:28.8015856Z   test_index_select_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T03:22:28.8016591Z   test_index_select_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T03:22:28.8017018Z   test_index_select_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T03:22:28.8017451Z   test_invalid_shapes_grid_sampler_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.063s)
2022-11-23T03:22:28.8017892Z   test_is_set_to_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8018303Z   test_is_signed_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8018699Z   test_item_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8019115Z   test_item_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8019533Z   test_item_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8019958Z   test_item_cuda_complex32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8020373Z   test_item_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8020787Z   test_item_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8021198Z   test_item_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8021707Z   test_item_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8022127Z   test_item_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8022535Z   test_item_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8022935Z   test_item_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8023323Z   test_item_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8023725Z   test_item_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8024156Z   test_large_cumprod_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (23.447s)
2022-11-23T03:22:28.8024580Z   test_large_cumsum_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (24.302s)
2022-11-23T03:22:28.8025020Z   test_log_normal_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8025456Z   test_log_normal_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8025884Z   test_log_normal_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8026291Z   test_log_normal_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8026713Z   test_logcumsumexp_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T03:22:28.8027155Z   test_lognormal_kstest_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T03:22:28.8027591Z   test_lognormal_kstest_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T03:22:28.8028041Z   test_lognormal_kstest_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T03:22:28.8028495Z   test_lognormal_kstest_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T03:22:28.8028945Z   test_masked_fill_bool_tensor_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8029377Z   test_masked_fill_cuda_bfloat16_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8029836Z   test_masked_fill_cuda_bfloat16_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8030284Z   test_masked_fill_cuda_bool_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8030708Z   test_masked_fill_cuda_bool_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8031156Z   test_masked_fill_cuda_complex128_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8031619Z   test_masked_fill_cuda_complex128_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.8032177Z   test_masked_fill_cuda_complex64_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8032615Z   test_masked_fill_cuda_complex64_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8033069Z   test_masked_fill_cuda_float16_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8033522Z   test_masked_fill_cuda_float16_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8033974Z   test_masked_fill_cuda_float32_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8034398Z   test_masked_fill_cuda_float32_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8034860Z   test_masked_fill_cuda_float64_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8035308Z   test_masked_fill_cuda_float64_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.8035735Z   test_masked_fill_cuda_int16_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8036181Z   test_masked_fill_cuda_int16_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8036629Z   test_masked_fill_cuda_int32_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8037071Z   test_masked_fill_cuda_int32_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8037566Z   test_masked_fill_cuda_int64_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8038020Z   test_masked_fill_cuda_int64_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8038462Z   test_masked_fill_cuda_int8_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8038882Z   test_masked_fill_cuda_int8_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.8039319Z   test_masked_fill_cuda_uint8_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8039754Z   test_masked_fill_cuda_uint8_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8040212Z   test_masked_fill_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.018s)
2022-11-23T03:22:28.8040642Z   test_masked_scatter_bool_tensor_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8041096Z   test_masked_scatter_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T03:22:28.8041542Z   test_masked_scatter_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8041972Z   test_masked_scatter_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.8042433Z   test_masked_scatter_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.8042881Z   test_masked_scatter_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.8043328Z   test_masked_scatter_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.8043751Z   test_masked_scatter_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.8044191Z   test_masked_scatter_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.8044631Z   test_masked_scatter_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.8045055Z   test_masked_scatter_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.8045500Z   test_masked_scatter_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.8045945Z   test_masked_scatter_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.8046448Z   test_masked_scatter_large_tensor_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: Insufficient cuda:0 memory (0.533s)
2022-11-23T03:22:28.8046930Z   test_masked_scatter_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.8047705Z   test_masked_select_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T03:22:28.8048509Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T03:22:28.8048787Z ok (0.010s)
2022-11-23T03:22:28.8049426Z   test_masked_select_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T03:22:28.8050086Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T03:22:28.8050360Z ok (0.009s)
2022-11-23T03:22:28.8051020Z   test_masked_select_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T03:22:28.8051675Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T03:22:28.8051946Z ok (0.010s)
2022-11-23T03:22:28.8052665Z   test_masked_select_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T03:22:28.8053333Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T03:22:28.8053587Z ok (0.010s)
2022-11-23T03:22:28.8054233Z   test_masked_select_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T03:22:28.8054897Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T03:22:28.8055166Z ok (0.010s)
2022-11-23T03:22:28.8055796Z   test_masked_select_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T03:22:28.8056852Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T03:22:28.8057125Z ok (0.009s)
2022-11-23T03:22:28.8057779Z   test_masked_select_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T03:22:28.8058417Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T03:22:28.8058693Z ok (0.010s)
2022-11-23T03:22:28.8059339Z   test_masked_select_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T03:22:28.8060003Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T03:22:28.8060251Z ok (0.009s)
2022-11-23T03:22:28.8060894Z   test_masked_select_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T03:22:28.8061591Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T03:22:28.8061861Z ok (0.009s)
2022-11-23T03:22:28.8062484Z   test_masked_select_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T03:22:28.8063279Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T03:22:28.8063545Z ok (0.009s)
2022-11-23T03:22:28.8064200Z   test_masked_select_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T03:22:28.8064837Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T03:22:28.8065104Z ok (0.009s)
2022-11-23T03:22:28.8065742Z   test_masked_select_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... /var/lib/jenkins/workspace/test/test_torch.py:3609: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-11-23T03:22:28.8066398Z   torch.masked_select(src, mask, out=dst3)
2022-11-23T03:22:28.8066649Z ok (0.009s)
2022-11-23T03:22:28.8067084Z   test_masked_select_discontiguous_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.8067557Z   test_memory_format_clone_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T03:22:28.8067992Z   test_memory_format_consistency_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8068465Z   test_memory_format_cpu_and_cuda_ops_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.031s)
2022-11-23T03:22:28.8068926Z   test_memory_format_empty_like_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T03:22:28.8069414Z   test_memory_format_factory_like_functions_preserve_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.054s)
2022-11-23T03:22:28.8069888Z   test_memory_format_operators_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.219s)
2022-11-23T03:22:28.8070365Z   test_memory_format_preserved_after_permute_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8070858Z   test_memory_format_propagation_rules_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.8071302Z   test_memory_format_to_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T03:22:28.8071737Z   test_memory_format_type_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.013s)
2022-11-23T03:22:28.8072190Z   test_memory_format_type_shortcuts_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.092s)
2022-11-23T03:22:28.8072649Z   test_module_share_memory_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8073081Z   test_multinomial_cpu_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8073543Z   test_multinomial_cpu_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8074002Z   test_multinomial_cpu_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8074431Z   test_multinomial_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.045s)
2022-11-23T03:22:28.8074868Z   test_multinomial_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.044s)
2022-11-23T03:22:28.8075305Z   test_multinomial_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.044s)
2022-11-23T03:22:28.8075764Z   test_multinomial_deterministic_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.023s)
2022-11-23T03:22:28.8076221Z   test_multinomial_deterministic_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.034s)
2022-11-23T03:22:28.8076685Z   test_multinomial_deterministic_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.116s)
2022-11-23T03:22:28.8077162Z   test_multinomial_device_constrain_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.8077711Z   test_multinomial_empty_w_replacement_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8078175Z   test_multinomial_empty_wo_replacement_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8078700Z   test_multinomial_gpu_device_constrain_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: fewer than 2 devices detected (0.002s)
2022-11-23T03:22:28.8079326Z   test_multinomial_rng_state_advance_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T03:22:28.8079855Z   test_narrow_empty_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8080319Z   test_nondeterministic_alert_AdaptiveAvgPool2d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.017s)
2022-11-23T03:22:28.8080841Z   test_nondeterministic_alert_AdaptiveAvgPool3d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T03:22:28.8081359Z   test_nondeterministic_alert_AdaptiveMaxPool2d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T03:22:28.8081863Z   test_nondeterministic_alert_AvgPool3d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T03:22:28.8082345Z   test_nondeterministic_alert_CTCLoss_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.017s)
2022-11-23T03:22:28.8082907Z   test_nondeterministic_alert_EmbeddingBag_max_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.8083445Z   test_nondeterministic_alert_FractionalMaxPool2d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.017s)
2022-11-23T03:22:28.8083958Z   test_nondeterministic_alert_FractionalMaxPool3d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.017s)
2022-11-23T03:22:28.8084461Z   test_nondeterministic_alert_MaxPool3d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T03:22:28.8084961Z   test_nondeterministic_alert_MaxUnpool1d_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T03:22:28.8085474Z   test_nondeterministic_alert_MaxUnpool1d_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T03:22:28.8085968Z   test_nondeterministic_alert_MaxUnpool1d_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T03:22:28.8086468Z   test_nondeterministic_alert_MaxUnpool2d_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T03:22:28.8086978Z   test_nondeterministic_alert_MaxUnpool2d_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T03:22:28.8087472Z   test_nondeterministic_alert_MaxUnpool2d_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T03:22:28.8087975Z   test_nondeterministic_alert_MaxUnpool3d_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T03:22:28.8088466Z   test_nondeterministic_alert_MaxUnpool3d_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T03:22:28.8088960Z   test_nondeterministic_alert_MaxUnpool3d_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T03:22:28.8089440Z   test_nondeterministic_alert_NLLLoss_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.8089938Z   test_nondeterministic_alert_ReflectionPad1d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.017s)
2022-11-23T03:22:28.8090444Z   test_nondeterministic_alert_ReflectionPad2d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T03:22:28.8090961Z   test_nondeterministic_alert_ReflectionPad3d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.017s)
2022-11-23T03:22:28.8091449Z   test_nondeterministic_alert_ReplicationPad1d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.017s)
2022-11-23T03:22:28.8091965Z   test_nondeterministic_alert_ReplicationPad2d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.017s)
2022-11-23T03:22:28.8092490Z   test_nondeterministic_alert_ReplicationPad3d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.017s)
2022-11-23T03:22:28.8092973Z   test_nondeterministic_alert_bincount_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.023s)
2022-11-23T03:22:28.8093552Z   test_nondeterministic_alert_cumsum_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8094050Z   test_nondeterministic_alert_cumsum_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.025s)
2022-11-23T03:22:28.8094554Z   test_nondeterministic_alert_cumsum_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.024s)
2022-11-23T03:22:28.8095038Z   test_nondeterministic_alert_cumsum_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.024s)
2022-11-23T03:22:28.8095536Z   test_nondeterministic_alert_cumsum_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.024s)
2022-11-23T03:22:28.8096319Z   test_nondeterministic_alert_cumsum_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8096898Z   test_nondeterministic_alert_cumsum_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8097364Z   test_nondeterministic_alert_cumsum_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8097854Z   test_nondeterministic_alert_cumsum_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8098334Z   test_nondeterministic_alert_cumsum_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8098804Z   test_nondeterministic_alert_grid_sample_2d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T03:22:28.8099416Z   test_nondeterministic_alert_grid_sample_3d_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T03:22:28.8099911Z   test_nondeterministic_alert_histc_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.024s)
2022-11-23T03:22:28.8100409Z   test_nondeterministic_alert_interpolate_bicubic_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.017s)
2022-11-23T03:22:28.8100907Z   test_nondeterministic_alert_interpolate_bilinear_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T03:22:28.8101425Z   test_nondeterministic_alert_interpolate_linear_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T03:22:28.8101955Z   test_nondeterministic_alert_interpolate_trilinear_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T03:22:28.8102472Z   test_nondeterministic_alert_kthvalue_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.040s)
2022-11-23T03:22:28.8102958Z   test_nondeterministic_alert_median_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.043s)
2022-11-23T03:22:28.8103457Z   test_nondeterministic_alert_put_accumulate_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.025s)
2022-11-23T03:22:28.8103944Z   test_nondeterministic_alert_put_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.025s)
2022-11-23T03:22:28.8104405Z   test_normal_kstest_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T03:22:28.8104828Z   test_normal_kstest_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T03:22:28.8105267Z   test_normal_kstest_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T03:22:28.8105717Z   test_normal_kstest_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T03:22:28.8106143Z   test_nullary_op_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.054s)
2022-11-23T03:22:28.8106598Z   test_pairwise_distance_empty_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8107038Z   test_pdist_empty_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8107555Z   test_pdist_norm_large_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T03:22:28.8108056Z   test_pickle_gradscaler_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.8108510Z   test_pin_memory_from_constructor_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8108965Z   test_put_accumulate_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8109399Z   test_put_accumulate_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8109963Z   test_put_accumulate_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8110414Z   test_put_accumulate_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8110863Z   test_put_accumulate_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8111291Z   test_put_accumulate_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8111737Z   test_put_accumulate_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8112175Z   test_put_accumulate_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8112600Z   test_put_accumulate_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8113037Z   test_put_accumulate_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8113479Z   test_put_accumulate_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8113909Z   test_put_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.108s)
2022-11-23T03:22:28.8114374Z   test_put_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.111s)
2022-11-23T03:22:28.8114802Z   test_put_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.115s)
2022-11-23T03:22:28.8115282Z   test_put_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.109s)
2022-11-23T03:22:28.8115685Z   test_put_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.107s)
2022-11-23T03:22:28.8116100Z   test_put_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.102s)
2022-11-23T03:22:28.8116511Z   test_put_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.083s)
2022-11-23T03:22:28.8116922Z   test_put_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.080s)
2022-11-23T03:22:28.8117308Z   test_put_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.076s)
2022-11-23T03:22:28.8117719Z   test_put_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.080s)
2022-11-23T03:22:28.8118127Z   test_put_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.080s)
2022-11-23T03:22:28.8118516Z   test_put_empty_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T03:22:28.8118937Z   test_put_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.036s)
2022-11-23T03:22:28.8119369Z   test_repeat_interleave_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8120516Z   test_scalar_check_cuda (__main__.TestTorchDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:22:28.8121185Z   warnings.warn(message, UserWarning)
2022-11-23T03:22:28.8121458Z ok (0.134s)
2022-11-23T03:22:28.8121803Z   test_scatter_add_bool_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8122245Z   test_scatter_add_non_unique_index_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8122722Z   test_scatter_add_one_dim_deterministic_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (3.058s)
2022-11-23T03:22:28.8123199Z   test_scatter_add_to_large_input_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8123647Z   test_scatter_bool_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8124061Z   test_scatter_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.020s)
2022-11-23T03:22:28.8124559Z   test_scatter_reduce_multiply_unsupported_dtypes_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.8125107Z   test_scatter_reduce_multiply_unsupported_dtypes_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.8125630Z   test_scatter_reduce_non_unique_index_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T03:22:28.8126201Z   test_scatter_reduce_non_unique_index_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8126694Z   test_scatter_reduce_non_unique_index_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8127201Z   test_scatter_reduce_non_unique_index_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8127690Z   test_scatter_reduce_non_unique_index_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.8128192Z   test_scatter_reduce_non_unique_index_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T03:22:28.8128675Z   test_scatter_reduce_non_unique_index_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.8129164Z   test_scatter_reduce_non_unique_index_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8129629Z   test_scatter_reduce_non_unique_index_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8130118Z   test_scatter_reduce_non_unique_index_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8130593Z   test_scatter_reduce_non_unique_index_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8131150Z   test_scatter_reduce_non_unique_index_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8131643Z   test_scatter_reduce_operations_to_large_input_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8132160Z   test_scatter_reduce_operations_to_large_input_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8132688Z   test_scatter_reduce_operations_to_large_input_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8133215Z   test_scatter_reduce_operations_to_large_input_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8133723Z   test_scatter_reduce_operations_to_large_input_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8134238Z   test_scatter_reduce_operations_to_large_input_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8134749Z   test_scatter_reduce_operations_to_large_input_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8135245Z   test_scatter_reduce_operations_to_large_input_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8135756Z   test_scatter_reduce_operations_to_large_input_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8136709Z   test_scatter_reduce_operations_to_large_input_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8137223Z   test_scatter_reduce_operations_to_large_input_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8137717Z   test_scatter_reduce_operations_to_large_input_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8138213Z   test_scatter_reduce_scalar_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8138670Z   test_scatter_reduce_scalar_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8139142Z   test_scatter_reduce_scalar_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8139600Z   test_scatter_reduce_scalar_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8140069Z   test_scatter_reduce_scalar_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8140536Z   test_scatter_reduce_scalar_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8140973Z   test_scatter_reduce_scalar_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8141425Z   test_scatter_reduce_scalar_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8142074Z   test_scatter_reduce_scalar_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8142529Z   test_scatter_reduce_scalar_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8142958Z   test_scatter_reduce_scalar_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8143414Z   test_scatter_reduce_scalar_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8143856Z   test_scatter_to_large_input_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8144305Z   test_scatter_zero_size_index_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8144724Z   test_serialization_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.007s)
2022-11-23T03:22:28.8145158Z   test_set_storage_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.8145592Z   test_set_storage_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.8146020Z   test_set_storage_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.8146474Z   test_set_storage_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.8146912Z   test_set_storage_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.021s)
2022-11-23T03:22:28.8147440Z   test_set_storage_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.020s)
2022-11-23T03:22:28.8147870Z   test_set_storage_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.020s)
2022-11-23T03:22:28.8148305Z   test_set_storage_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.8148728Z   test_set_storage_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.8149144Z   test_set_storage_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.8149574Z   test_set_storage_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.8150008Z   test_set_storage_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.8150443Z   test_shift_mem_overlap_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.8150842Z   test_skip_xla_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8151274Z   test_storage_all_devices_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8151710Z   test_storage_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T03:22:28.8152128Z   test_storage_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.028s)
2022-11-23T03:22:28.8152564Z   test_storage_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.022s)
2022-11-23T03:22:28.8152992Z   test_storage_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.017s)
2022-11-23T03:22:28.8153411Z   test_storage_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.020s)
2022-11-23T03:22:28.8153829Z   test_storage_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T03:22:28.8154249Z   test_storage_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.014s)
2022-11-23T03:22:28.8154664Z   test_storage_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.017s)
2022-11-23T03:22:28.8155052Z   test_storage_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T03:22:28.8155474Z   test_storage_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.012s)
2022-11-23T03:22:28.8155944Z   test_storage_meta_errors_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:22:28.8156449Z   test_storage_meta_errors_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:22:28.8156942Z   test_storage_meta_errors_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:22:28.8157456Z   test_storage_meta_errors_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:22:28.8158080Z   test_storage_meta_errors_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:22:28.8158565Z   test_storage_meta_errors_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.004s)
2022-11-23T03:22:28.8159070Z   test_storage_meta_errors_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:22:28.8159572Z   test_storage_meta_errors_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:22:28.8160076Z   test_storage_meta_errors_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:22:28.8160556Z   test_storage_meta_errors_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:22:28.8161119Z   test_storage_meta_errors_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:22:28.8161623Z   test_storage_meta_errors_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.003s)
2022-11-23T03:22:28.8162106Z   test_storage_meta_from_tensor_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8162561Z   test_storage_meta_from_tensor_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8163114Z   test_storage_meta_from_tensor_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8163607Z   test_storage_meta_from_tensor_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8164083Z   test_storage_meta_from_tensor_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8164524Z   test_storage_meta_from_tensor_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8164973Z   test_storage_meta_from_tensor_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8165440Z   test_storage_meta_from_tensor_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8165884Z   test_storage_meta_from_tensor_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8166344Z   test_storage_meta_from_tensor_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8166806Z   test_storage_meta_from_tensor_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8167266Z   test_storage_meta_from_tensor_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8167697Z   test_storage_setitem_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.8168171Z   test_storage_setitem_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.8168635Z   test_storage_setitem_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.8169071Z   test_storage_setitem_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.8169529Z   test_storage_setitem_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.8169973Z   test_storage_setitem_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.8170423Z   test_storage_setitem_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.8170852Z   test_storage_setitem_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.011s)
2022-11-23T03:22:28.8171291Z   test_storage_setitem_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.8171738Z   test_storage_setitem_cuda_qint32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8172162Z   test_storage_setitem_cuda_qint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8172610Z   test_storage_setitem_cuda_quint4x2 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8173058Z   test_storage_setitem_cuda_quint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8173594Z   test_storage_setitem_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-11-23T03:22:28.8174017Z   test_strides_propagation_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.150s)
2022-11-23T03:22:28.8175220Z   test_sync_warning_cuda (__main__.TestTorchDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/cuda/__init__.py:649: UserWarning: Synchronization debug mode is a prototype feature and does not yet detect all synchronizing operations (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:768.)
2022-11-23T03:22:28.8175933Z   torch._C._cuda_set_sync_debug_mode(debug_mode)
2022-11-23T03:22:28.8176542Z ok (0.142s)
2022-11-23T03:22:28.8176867Z   test_take_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.020s)
2022-11-23T03:22:28.8177290Z   test_take_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T03:22:28.8177708Z   test_take_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.020s)
2022-11-23T03:22:28.8178121Z   test_take_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.021s)
2022-11-23T03:22:28.8178539Z   test_take_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.020s)
2022-11-23T03:22:28.8178951Z   test_take_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.020s)
2022-11-23T03:22:28.8179486Z   test_take_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.019s)
2022-11-23T03:22:28.8179881Z   test_take_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.017s)
2022-11-23T03:22:28.8180293Z   test_take_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T03:22:28.8180697Z   test_take_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.015s)
2022-11-23T03:22:28.8181086Z   test_take_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T03:22:28.8181491Z   test_take_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.016s)
2022-11-23T03:22:28.8181893Z   test_take_empty_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8182939Z   test_tensor_from_storage_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T03:22:28.8183601Z   warnings.warn(message, UserWarning)
2022-11-23T03:22:28.8183875Z ok (0.023s)
2022-11-23T03:22:28.8184227Z   test_tensor_from_storage_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.023s)
2022-11-23T03:22:28.8184672Z   test_tensor_from_storage_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.024s)
2022-11-23T03:22:28.8185135Z   test_tensor_from_storage_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.023s)
2022-11-23T03:22:28.8185597Z   test_tensor_from_storage_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.023s)
2022-11-23T03:22:28.8186059Z   test_tensor_from_storage_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.023s)
2022-11-23T03:22:28.8186490Z   test_tensor_from_storage_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.023s)
2022-11-23T03:22:28.8186943Z   test_tensor_from_storage_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.022s)
2022-11-23T03:22:28.8187399Z   test_tensor_from_storage_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.022s)
2022-11-23T03:22:28.8187849Z   test_tensor_from_storage_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.022s)
2022-11-23T03:22:28.8188281Z   test_tensor_from_storage_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.023s)
2022-11-23T03:22:28.8188721Z   test_tensor_from_storage_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.022s)
2022-11-23T03:22:28.8189225Z   test_tensor_set_errors_multigpu_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: fewer than 2 devices detected (0.002s)
2022-11-23T03:22:28.8189698Z   test_tensor_shape_empty_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.017s)
2022-11-23T03:22:28.8190249Z   test_tensor_storage_type_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8190705Z   test_tensor_storage_type_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8191175Z   test_tensor_storage_type_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8191621Z   test_tensor_storage_type_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8192084Z   test_tensor_storage_type_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8192540Z   test_tensor_storage_type_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8192972Z   test_tensor_storage_type_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8193417Z   test_tensor_storage_type_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8193869Z   test_tensor_storage_type_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8194316Z   test_tensor_storage_type_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8194874Z   test_tensor_storage_type_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8195387Z   test_tensor_storage_type_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8195864Z   test_ternary_op_mem_overlap_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-11-23T03:22:28.8196324Z   test_typed_storage_meta_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8196765Z   test_typed_storage_meta_cuda_bool (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8197225Z   test_typed_storage_meta_cuda_complex128 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8197690Z   test_typed_storage_meta_cuda_complex64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8198137Z   test_typed_storage_meta_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8198595Z   test_typed_storage_meta_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8199051Z   test_typed_storage_meta_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8199506Z   test_typed_storage_meta_cuda_int16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.006s)
2022-11-23T03:22:28.8199938Z   test_typed_storage_meta_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8200383Z   test_typed_storage_meta_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8200833Z   test_typed_storage_meta_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8201256Z   test_typed_storage_meta_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8201731Z   test_unfold_all_devices_and_dtypes_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.005s)
2022-11-23T03:22:28.8202180Z   test_unfold_scalars_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8202616Z   test_uniform_kstest_cuda_bfloat16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.8203050Z   test_uniform_kstest_cuda_float16 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.8203495Z   test_uniform_kstest_cuda_float32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.008s)
2022-11-23T03:22:28.8203928Z   test_uniform_kstest_cuda_float64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.009s)
2022-11-23T03:22:28.8204346Z   test_untyped_storage_meta_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.004s)
2022-11-23T03:22:28.8204830Z   test_warn_always_caught_cuda (__main__.TestTorchDeviceTypeCUDA) ... skip: Only runs on cpu (0.002s)
2022-11-23T03:22:28.8205317Z   test_where_scalar_handcrafted_values_cuda (__main__.TestTorchDeviceTypeCUDA) ... ok (0.077s)
2022-11-23T03:22:28.8205868Z   test_cuda_vitals_gpu_only_cuda (__main__.TestVitalSignsCudaCUDA) ... ok (0.002s)
2022-11-23T03:22:28.8206224Z [TORCH_VITAL] Dataloader.enabled		 True
2022-11-23T03:22:28.8206587Z [TORCH_VITAL] Dataloader.basic_unit_test		 TEST_VALUE_STRING
2022-11-23T03:22:28.8206923Z [TORCH_VITAL] CUDA.used		 true
2022-11-23T03:22:28.8207109Z 
2022-11-23T03:22:28.8207438Z ----------------------------------------------------------------------
2022-11-23T03:22:28.8207566Z Ran 854 tests in 130.897s
2022-11-23T03:22:28.8207587Z 
2022-11-23T03:22:28.8207701Z OK (skipped=37)
2022-11-23T03:22:28.8207720Z 
2022-11-23T03:22:28.8207846Z Generating XML reports...
2022-11-23T03:22:28.8208269Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestBasicVitalSigns-20221123032016.xml
2022-11-23T03:22:28.8208681Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestDevicePrecisionCUDA-20221123032016.xml
2022-11-23T03:22:28.8209032Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestTorch-20221123032016.xml
2022-11-23T03:22:28.8209441Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestTorchDeviceTypeCUDA-20221123032016.xml
2022-11-23T03:22:28.8209844Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestVitalSignsCudaCUDA-20221123032016.xml
2022-11-23T03:22:28.8209977Z [TORCH_VITAL] Dataloader.enabled		 True
2022-11-23T03:22:28.8210252Z [TORCH_VITAL] Dataloader.basic_unit_test		 TEST_VALUE_STRING
2022-11-23T03:22:28.8210390Z [TORCH_VITAL] CUDA.used		 true
2022-11-23T03:22:28.8210409Z 
2022-11-23T03:22:28.8211059Z ##[endgroup]
2022-11-23T03:22:28.8211427Z FINISHED PRINTING LOG FILE of test_torch (/var/lib/jenkins/workspace/test/test-reports/test_torch_lmfg306f)
2022-11-23T03:22:28.8211446Z 
2022-11-23T03:22:28.8211718Z Running test_cpp_extensions_aot_no_ninja ... [2022-11-23 03:22:28.771178]
2022-11-23T03:22:31.5016660Z running install
2022-11-23T03:22:31.5017670Z /opt/conda/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
2022-11-23T03:22:31.5018206Z   warnings.warn(
2022-11-23T03:22:31.5174609Z running build
2022-11-23T03:22:31.5174930Z running build_py
2022-11-23T03:22:31.5259160Z creating build
2022-11-23T03:22:31.5259825Z creating build/lib.linux-x86_64-cpython-310
2022-11-23T03:22:31.5260482Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2022-11-23T03:22:31.5261629Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2022-11-23T03:22:31.5264288Z running build_ext
2022-11-23T03:22:31.5315559Z building 'torch_test_cpp_extension.cpp' extension
2022-11-23T03:22:31.5316096Z creating build/temp.linux-x86_64-cpython-310
2022-11-23T03:22:31.5318502Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c extension.cpp -o build/temp.linux-x86_64-cpython-310/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T03:22:32.9224368Z In file included from /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:14:0,
2022-11-23T03:22:32.9225312Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11,
2022-11-23T03:22:32.9225908Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/torch/extension.h:6,
2022-11-23T03:22:32.9226587Z                  from extension.cpp:1:
2022-11-23T03:22:32.9228169Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_<MatrixMultiplier>’:
2022-11-23T03:22:32.9228644Z extension.cpp:36:53:   required from here
2022-11-23T03:22:32.9229677Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than the type of its field ‘pybind11::class_<MatrixMultiplier>::<anonymous>’ [-Wattributes]
2022-11-23T03:22:32.9230295Z  class class_ : public detail::generic_type {
2022-11-23T03:22:32.9230574Z        ^~~~~~
2022-11-23T03:22:32.9231392Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes]
2022-11-23T03:22:32.9235684Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so
2022-11-23T03:22:33.5566050Z building 'torch_test_cpp_extension.ort' extension
2022-11-23T03:22:33.5569747Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c ort_extension.cpp -o build/temp.linux-x86_64-cpython-310/ort_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=ort -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T03:22:34.8778668Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/ort_extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/ort.cpython-310-x86_64-linux-gnu.so
2022-11-23T03:22:35.4712539Z building 'torch_test_cpp_extension.rng' extension
2022-11-23T03:22:35.4714933Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-310/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T03:22:36.9129507Z In file included from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8:0,
2022-11-23T03:22:36.9130241Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:6,
2022-11-23T03:22:36.9130818Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2022-11-23T03:22:36.9131796Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:8,
2022-11-23T03:22:36.9132190Z                  from rng_extension.cpp:6:
2022-11-23T03:22:36.9132780Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1008:0: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2022-11-23T03:22:36.9133204Z  # pragma unroll
2022-11-23T03:22:36.9133435Z  
2022-11-23T03:22:36.9142110Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/rng_extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so
2022-11-23T03:22:37.5623792Z building 'torch_test_cpp_extension.cuda' extension
2022-11-23T03:22:37.5626412Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c cuda_extension.cpp -o build/temp.linux-x86_64-cpython-310/cuda_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=cuda -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T03:22:38.8769773Z /usr/local/cuda/bin/nvcc -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c cuda_extension_kernel.cu -o build/temp.linux-x86_64-cpython-310/cuda_extension_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=cuda -D_GLIBCXX_USE_CXX11_ABI=1 -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++14
2022-11-23T03:22:45.4645102Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T03:22:45.4645628Z           detected during:
2022-11-23T03:22:45.4646516Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T03:22:45.4647066Z (55): here
2022-11-23T03:22:45.4647815Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T03:22:45.4648513Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/core/TensorImpl.h(77): here
2022-11-23T03:22:45.4648763Z 
2022-11-23T03:22:45.5635152Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T03:22:45.5635670Z           detected during:
2022-11-23T03:22:45.5637040Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T03:22:45.5637579Z (55): here
2022-11-23T03:22:45.5638310Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T03:22:45.5639030Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/core/qualified_name.h(73): here
2022-11-23T03:22:45.5639306Z 
2022-11-23T03:22:56.6776511Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T03:22:56.6777041Z           detected during:
2022-11-23T03:22:56.6777977Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T03:22:56.6778504Z (55): here
2022-11-23T03:22:56.6779612Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T03:22:56.6780318Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/core/TensorImpl.h(77): here
2022-11-23T03:22:56.6780583Z 
2022-11-23T03:22:56.7739108Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T03:22:56.7739600Z           detected during:
2022-11-23T03:22:56.7740483Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T03:22:56.7741174Z (55): here
2022-11-23T03:22:56.7741930Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T03:22:56.7742639Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/core/qualified_name.h(73): here
2022-11-23T03:22:56.7742912Z 
2022-11-23T03:23:13.3766257Z /usr/local/cuda/bin/nvcc -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c cuda_extension_kernel2.cu -o build/temp.linux-x86_64-cpython-310/cuda_extension_kernel2.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=cuda -D_GLIBCXX_USE_CXX11_ABI=1 -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++14
2022-11-23T03:23:19.8612104Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T03:23:19.8612615Z           detected during:
2022-11-23T03:23:19.8615984Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T03:23:19.8617636Z (55): here
2022-11-23T03:23:19.8618383Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T03:23:19.8619082Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/core/TensorImpl.h(77): here
2022-11-23T03:23:19.8619350Z 
2022-11-23T03:23:19.9590145Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T03:23:19.9591121Z           detected during:
2022-11-23T03:23:19.9592005Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T03:23:19.9592666Z (55): here
2022-11-23T03:23:19.9593394Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T03:23:19.9594862Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/core/qualified_name.h(73): here
2022-11-23T03:23:19.9595443Z 
2022-11-23T03:23:31.1489588Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T03:23:31.1490188Z           detected during:
2022-11-23T03:23:31.1491049Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T03:23:31.1491614Z (55): here
2022-11-23T03:23:31.1492331Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T03:23:31.1493018Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/core/TensorImpl.h(77): here
2022-11-23T03:23:31.1493267Z 
2022-11-23T03:23:31.2497891Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T03:23:31.2498465Z           detected during:
2022-11-23T03:23:31.2499318Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T03:23:31.2499872Z (55): here
2022-11-23T03:23:31.2500596Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T03:23:31.2501285Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/core/qualified_name.h(73): here
2022-11-23T03:23:31.2501552Z 
2022-11-23T03:23:48.1979225Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/cuda_extension.o build/temp.linux-x86_64-cpython-310/cuda_extension_kernel.o build/temp.linux-x86_64-cpython-310/cuda_extension_kernel2.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda.cpython-310-x86_64-linux-gnu.so
2022-11-23T03:23:48.9319605Z building 'torch_test_cpp_extension.torch_library' extension
2022-11-23T03:23:48.9322547Z /usr/local/cuda/bin/nvcc -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c torch_library.cu -o build/temp.linux-x86_64-cpython-310/torch_library.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=torch_library -D_GLIBCXX_USE_CXX11_ABI=1 -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=compute_52 -gencode=arch=compute_52,code=sm_52 -std=c++14
2022-11-23T03:24:02.4378754Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T03:24:02.4379662Z           detected during:
2022-11-23T03:24:02.4380621Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T03:24:02.4381094Z (55): here
2022-11-23T03:24:02.4381871Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T03:24:02.4382936Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/core/TensorImpl.h(77): here
2022-11-23T03:24:02.4383206Z 
2022-11-23T03:24:02.7043655Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T03:24:02.7044167Z           detected during:
2022-11-23T03:24:02.7045064Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T03:24:02.7045708Z (55): here
2022-11-23T03:24:02.7046446Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T03:24:02.7047173Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/core/qualified_name.h(73): here
2022-11-23T03:24:02.7047453Z 
2022-11-23T03:24:44.8091471Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T03:24:44.8092341Z           detected during:
2022-11-23T03:24:44.8095323Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T03:24:44.8095903Z (55): here
2022-11-23T03:24:44.8097235Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=size_t, one_sided=false, <unnamed>=0]" 
2022-11-23T03:24:44.8097941Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/core/TensorImpl.h(77): here
2022-11-23T03:24:44.8098617Z 
2022-11-23T03:24:45.0854309Z /opt/conda/lib/python3.10/site-packages/torch/include/c10/util/irange.h(48): warning #186-D: pointless comparison of unsigned integer with zero
2022-11-23T03:24:45.0854774Z           detected during:
2022-11-23T03:24:45.0855670Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator==(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T03:24:45.0856874Z (55): here
2022-11-23T03:24:45.0857593Z             instantiation of "__nv_bool c10::detail::integer_iterator<I, one_sided, <unnamed>>::operator!=(const c10::detail::integer_iterator<I, one_sided, <unnamed>> &) const [with I=std::size_t, one_sided=true, <unnamed>=0]" 
2022-11-23T03:24:45.0858280Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/core/qualified_name.h(73): here
2022-11-23T03:24:45.0858565Z 
2022-11-23T03:25:52.9300394Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/torch_library.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/torch_library.cpython-310-x86_64-linux-gnu.so
2022-11-23T03:25:53.4166932Z building 'torch_test_cpp_extension.cublas_extension' extension
2022-11-23T03:25:53.4170996Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c cublas_extension.cpp -o build/temp.linux-x86_64-cpython-310/cublas_extension.o -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=cublas_extension -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T03:25:55.0475427Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/cublas_extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lcublas -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cublas_extension.cpython-310-x86_64-linux-gnu.so
2022-11-23T03:25:55.7186809Z building 'torch_test_cpp_extension.cusolver_extension' extension
2022-11-23T03:25:55.7189056Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c cusolver_extension.cpp -o build/temp.linux-x86_64-cpython-310/cusolver_extension.o -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=cusolver_extension -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T03:25:57.2848819Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/cusolver_extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lcusolver -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cusolver_extension.cpython-310-x86_64-linux-gnu.so
2022-11-23T03:25:57.9587450Z running install_lib
2022-11-23T03:25:57.9666819Z creating install
2022-11-23T03:25:57.9667198Z creating install/opt
2022-11-23T03:25:57.9667480Z creating install/opt/conda
2022-11-23T03:25:57.9667810Z creating install/opt/conda/lib
2022-11-23T03:25:57.9668337Z creating install/opt/conda/lib/python3.10
2022-11-23T03:25:57.9668888Z creating install/opt/conda/lib/python3.10/site-packages
2022-11-23T03:25:57.9674777Z creating install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T03:25:57.9675565Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/__init__.py -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T03:25:57.9676659Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T03:25:57.9756111Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/ort.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T03:25:57.9843923Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T03:25:57.9935126Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T03:25:58.0016964Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/torch_library.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T03:25:58.0018054Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cublas_extension.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T03:25:58.0096947Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cusolver_extension.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T03:25:58.0182756Z byte-compiling ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-310.pyc
2022-11-23T03:25:58.0183322Z running install_egg_info
2022-11-23T03:25:58.0374016Z running egg_info
2022-11-23T03:25:58.0374689Z creating torch_test_cpp_extension.egg-info
2022-11-23T03:25:58.0446913Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2022-11-23T03:25:58.0447440Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2022-11-23T03:25:58.0451843Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2022-11-23T03:25:58.0453133Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2022-11-23T03:25:58.0531136Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2022-11-23T03:25:58.0538681Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2022-11-23T03:25:58.0540680Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension-0.0.0-py3.10.egg-info
2022-11-23T03:25:58.0547215Z running install_scripts
2022-11-23T03:26:01.3562381Z running install
2022-11-23T03:26:01.3563537Z /opt/conda/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
2022-11-23T03:26:01.3564518Z   warnings.warn(
2022-11-23T03:26:01.3724224Z running build
2022-11-23T03:26:01.3724523Z running build_ext
2022-11-23T03:26:01.4246216Z building 'no_python_abi_suffix_test' extension
2022-11-23T03:26:01.4246694Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build
2022-11-23T03:26:01.4247415Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310
2022-11-23T03:26:01.4748496Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/build.ninja...
2022-11-23T03:26:01.4749044Z Compiling objects...
2022-11-23T03:26:01.4749377Z Using envvar MAX_JOBS (14) as the number of workers...
2022-11-23T03:26:01.5580315Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o.d -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/opt/conda/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T03:26:01.5648266Z creating build/lib.linux-x86_64-cpython-310
2022-11-23T03:26:01.5649758Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/no_python_abi_suffix_test.so
2022-11-23T03:26:01.6655660Z running install_lib
2022-11-23T03:26:01.6733283Z creating install
2022-11-23T03:26:01.6733745Z creating install/opt
2022-11-23T03:26:01.6734039Z creating install/opt/conda
2022-11-23T03:26:01.6734309Z creating install/opt/conda/lib
2022-11-23T03:26:01.6734634Z creating install/opt/conda/lib/python3.10
2022-11-23T03:26:01.6735619Z creating install/opt/conda/lib/python3.10/site-packages
2022-11-23T03:26:01.6736706Z copying build/lib.linux-x86_64-cpython-310/no_python_abi_suffix_test.so -> ./install/opt/conda/lib/python3.10/site-packages
2022-11-23T03:26:01.6744333Z running install_egg_info
2022-11-23T03:26:01.6939798Z running egg_info
2022-11-23T03:26:01.6940382Z creating no_python_abi_suffix_test.egg-info
2022-11-23T03:26:01.7012188Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2022-11-23T03:26:01.7013628Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2022-11-23T03:26:01.7017394Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2022-11-23T03:26:01.7019430Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2022-11-23T03:26:01.7094905Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2022-11-23T03:26:01.7102778Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2022-11-23T03:26:01.7104106Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/lib/python3.10/site-packages/no_python_abi_suffix_test-0.0.0-py3.10.egg-info
2022-11-23T03:26:01.7111605Z running install_scripts
2022-11-23T03:26:02.3503159Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 03:26:02.349682]
2022-11-23T03:26:08.6556027Z 
2022-11-23T03:26:08.6556735Z Expand the folded group to see the log file of test_cpp_extensions_aot_no_ninja
2022-11-23T03:26:08.6558460Z ##[group]PRINTING LOG FILE of test_cpp_extensions_aot_no_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_no_ninja_q0bdgo4k)
2022-11-23T03:26:08.6559104Z 
2022-11-23T03:26:08.6559320Z Running tests...
2022-11-23T03:26:08.6560003Z ----------------------------------------------------------------------
2022-11-23T03:26:08.6560544Z Test results will be stored in test-reports/python-unittest/test_cpp_extensions_aot_no_ninja
2022-11-23T03:26:08.6560992Z   test_backward (__main__.TestCppExtensionAOT) ... ok (0.019s)
2022-11-23T03:26:08.6561416Z   test_cublas_extension (__main__.TestCppExtensionAOT) ... ok (0.478s)
2022-11-23T03:26:08.6561882Z   test_cuda_dlink_libs (__main__.TestCppExtensionAOT) ... skip: cuda extension with dlink requires ninja to build (0.001s)
2022-11-23T03:26:08.6562351Z   test_cuda_extension (__main__.TestCppExtensionAOT) ... ok (0.003s)
2022-11-23T03:26:08.6562762Z   test_cusolver_extension (__main__.TestCppExtensionAOT) ... ok (0.109s)
2022-11-23T03:26:08.6563569Z   test_extension_function (__main__.TestCppExtensionAOT) ... ok (0.002s)
2022-11-23T03:26:08.6564261Z   test_extension_module (__main__.TestCppExtensionAOT) ... ok (0.001s)
2022-11-23T03:26:08.6564759Z   test_no_python_abi_suffix_sets_the_correct_library_name (__main__.TestCppExtensionAOT) ... ok (0.002s)
2022-11-23T03:26:08.6565197Z   test_optional (__main__.TestCppExtensionAOT) ... ok (0.001s)
2022-11-23T03:26:08.6565534Z   test_add (__main__.TestORTTensor) ... ok (0.001s)
2022-11-23T03:26:08.6565910Z   test_conv_backend_override (__main__.TestORTTensor) ... ok (0.002s)
2022-11-23T03:26:08.6566298Z   test_unregistered (__main__.TestORTTensor) ... ok (0.007s)
2022-11-23T03:26:08.6566648Z   test_zeros (__main__.TestORTTensor) ... ok (0.002s)
2022-11-23T03:26:08.6567501Z   test_rng (__main__.TestRNGExtension) ... ok (0.004s)
2022-11-23T03:26:08.6567877Z   test_torch_library (__main__.TestTorchLibrary) ... ok (0.077s)
2022-11-23T03:26:08.6568102Z 
2022-11-23T03:26:08.6568449Z ----------------------------------------------------------------------
2022-11-23T03:26:08.6568772Z Ran 15 tests in 0.712s
2022-11-23T03:26:08.6568954Z 
2022-11-23T03:26:08.6569067Z OK (skipped=1)
2022-11-23T03:26:08.6569226Z 
2022-11-23T03:26:08.6569360Z Generating XML reports...
2022-11-23T03:26:08.6569990Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestCppExtensionAOT-20221123032607.xml
2022-11-23T03:26:08.6570713Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestORTTensor-20221123032607.xml
2022-11-23T03:26:08.6571450Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestRNGExtension-20221123032607.xml
2022-11-23T03:26:08.6572189Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestTorchLibrary-20221123032607.xml
2022-11-23T03:26:08.6572518Z 
2022-11-23T03:26:08.6572942Z ##[endgroup]
2022-11-23T03:26:08.6573546Z FINISHED PRINTING LOG FILE of test_cpp_extensions_aot_no_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_no_ninja_q0bdgo4k)
2022-11-23T03:26:08.6573889Z 
2022-11-23T03:26:09.2889057Z 
2022-11-23T03:26:09.2889971Z real	98m53.942s
2022-11-23T03:26:09.2890664Z user	103m47.949s
2022-11-23T03:26:09.2891072Z sys	10m3.533s
2022-11-23T03:26:09.2891332Z + assert_git_not_dirty
2022-11-23T03:26:09.2891962Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *rocm* ]]
2022-11-23T03:26:09.2892430Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *xla* ]]
2022-11-23T03:26:09.2893701Z ++ git status --porcelain
2022-11-23T03:26:10.2117092Z + git_status=
2022-11-23T03:26:10.2117934Z + [[ -n '' ]]
2022-11-23T03:26:10.2118344Z + test_libtorch
2022-11-23T03:26:10.2118798Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *rocm* ]]
2022-11-23T03:26:10.2119080Z + echo 'Testing libtorch'
2022-11-23T03:26:10.2119458Z Testing libtorch
2022-11-23T03:26:10.2120014Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T03:26:10.2132055Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libjitbackend_test.so /opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T03:26:10.2145002Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so /opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T03:26:10.2156874Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libshm.so /opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T03:26:10.2170003Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so /opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T03:26:10.2182169Z + ln -sf '/opt/conda/lib/python3.10/site-packages/torch/lib/libtbb*' /opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T03:26:10.2196318Z + TEST_REPORTS_DIR=test/test-reports/cpp-unittest/test_libtorch
2022-11-23T03:26:10.2196705Z + mkdir -p test/test-reports/cpp-unittest/test_libtorch
2022-11-23T03:26:10.2197177Z + python tools/download_mnist.py --quiet -d test/cpp/api/mnist
2022-11-23T03:26:10.2213548Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *-tsan* ]]
2022-11-23T03:26:10.2213813Z + python test/cpp/jit/tests_setup.py setup
2022-11-23T03:26:10.2912759Z Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz ...
2022-11-23T03:26:10.7167154Z Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz ...
2022-11-23T03:26:10.7392113Z Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz ...
2022-11-23T03:26:10.8365879Z Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz ...
2022-11-23T03:26:12.7553913Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug == *cuda* ]]
2022-11-23T03:26:12.7554669Z + /opt/conda/lib/python3.10/site-packages/torch/bin/test_jit --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_jit.xml
2022-11-23T03:26:13.2662333Z Only one CUDA device detected. Disabling MultiCUDA tests
2022-11-23T03:26:13.2674491Z Note: Google Test filter = *-*_MultiCUDA
2022-11-23T03:26:13.2675159Z [==========] Running 1339 tests from 121 test suites.
2022-11-23T03:26:13.2675550Z [----------] Global test environment set-up.
2022-11-23T03:26:13.2675956Z [----------] 2 tests from AddIfThenElseOpTest
2022-11-23T03:26:13.2676434Z [ RUN      ] AddIfThenElseOpTest.AddIfThenElseOpSimple
2022-11-23T03:26:13.2792402Z [       OK ] AddIfThenElseOpTest.AddIfThenElseOpSimple (11 ms)
2022-11-23T03:26:13.2793203Z [ RUN      ] AddIfThenElseOpTest.NoIfThenElseOpMultipleOutputs
2022-11-23T03:26:13.2794007Z [       OK ] AddIfThenElseOpTest.NoIfThenElseOpMultipleOutputs (0 ms)
2022-11-23T03:26:13.2795038Z [----------] 2 tests from AddIfThenElseOpTest (11 ms total)
2022-11-23T03:26:13.2795514Z 
2022-11-23T03:26:13.2796065Z [----------] 15 tests from TopologicalMoveTest
2022-11-23T03:26:13.2796697Z [ RUN      ] TopologicalMoveTest.SplitsDeps
2022-11-23T03:26:13.2797634Z [       OK ] TopologicalMoveTest.SplitsDeps (0 ms)
2022-11-23T03:26:13.2799206Z [ RUN      ] TopologicalMoveTest.MoveAfterBackwardSimple
2022-11-23T03:26:13.2799722Z [       OK ] TopologicalMoveTest.MoveAfterBackwardSimple (0 ms)
2022-11-23T03:26:13.2800385Z [ RUN      ] TopologicalMoveTest.MoveAfterBackwardInvalid
2022-11-23T03:26:13.2801469Z [       OK ] TopologicalMoveTest.MoveAfterBackwardInvalid (0 ms)
2022-11-23T03:26:13.2802581Z [ RUN      ] TopologicalMoveTest.MoveAfterNoOp
2022-11-23T03:26:13.2803030Z [       OK ] TopologicalMoveTest.MoveAfterNoOp (0 ms)
2022-11-23T03:26:13.2803647Z [ RUN      ] TopologicalMoveTest.MoveAfterBackwardMultipleDeps
2022-11-23T03:26:13.2804867Z [       OK ] TopologicalMoveTest.MoveAfterBackwardMultipleDeps (0 ms)
2022-11-23T03:26:13.2805744Z [ RUN      ] TopologicalMoveTest.MoveAfterBackwardNonZeroWorkingSet
2022-11-23T03:26:13.2806503Z [       OK ] TopologicalMoveTest.MoveAfterBackwardNonZeroWorkingSet (0 ms)
2022-11-23T03:26:13.2807634Z [ RUN      ] TopologicalMoveTest.MoveAfterForwardSimple
2022-11-23T03:26:13.2808814Z [       OK ] TopologicalMoveTest.MoveAfterForwardSimple (0 ms)
2022-11-23T03:26:13.2809511Z [ RUN      ] TopologicalMoveTest.MoveAfterForwardNonZeroWorkingSet
2022-11-23T03:26:13.2810881Z [       OK ] TopologicalMoveTest.MoveAfterForwardNonZeroWorkingSet (0 ms)
2022-11-23T03:26:13.2811607Z [ RUN      ] TopologicalMoveTest.MoveBeforeForwardSimple
2022-11-23T03:26:13.2812160Z [       OK ] TopologicalMoveTest.MoveBeforeForwardSimple (0 ms)
2022-11-23T03:26:13.2813338Z [ RUN      ] TopologicalMoveTest.MoveBeforeBackwardSimple
2022-11-23T03:26:13.2814203Z [       OK ] TopologicalMoveTest.MoveBeforeBackwardSimple (0 ms)
2022-11-23T03:26:13.2814687Z [ RUN      ] TopologicalMoveTest.MoveBeforeNoOp
2022-11-23T03:26:13.2815299Z [       OK ] TopologicalMoveTest.MoveBeforeNoOp (0 ms)
2022-11-23T03:26:13.2816653Z [ RUN      ] TopologicalMoveTest.MoveBeforeForwardWithDeps
2022-11-23T03:26:13.2817885Z [       OK ] TopologicalMoveTest.MoveBeforeForwardWithDeps (0 ms)
2022-11-23T03:26:13.2818548Z [ RUN      ] TopologicalMoveTest.MoveBeforeBackwardWithDeps
2022-11-23T03:26:13.2819127Z [       OK ] TopologicalMoveTest.MoveBeforeBackwardWithDeps (0 ms)
2022-11-23T03:26:13.2819661Z [ RUN      ] TopologicalMoveTest.DepsDisallowMove
2022-11-23T03:26:13.2820170Z [       OK ] TopologicalMoveTest.DepsDisallowMove (0 ms)
2022-11-23T03:26:13.2820664Z [ RUN      ] TopologicalMoveTest.MoveAfterBeforeWithDeps
2022-11-23T03:26:13.2821210Z [       OK ] TopologicalMoveTest.MoveAfterBeforeWithDeps (0 ms)
2022-11-23T03:26:13.2821740Z [----------] 15 tests from TopologicalMoveTest (2 ms total)
2022-11-23T03:26:13.2821975Z 
2022-11-23T03:26:13.2822179Z [----------] 6 tests from AliasAnalysisTest
2022-11-23T03:26:13.2822662Z [ RUN      ] AliasAnalysisTest.AliasingMutationBlocksMoves
2022-11-23T03:26:13.2886207Z [       OK ] AliasAnalysisTest.AliasingMutationBlocksMoves (6 ms)
2022-11-23T03:26:13.2887080Z [ RUN      ] AliasAnalysisTest.AliasingMutationBlocksMoves2
2022-11-23T03:26:13.2887795Z [       OK ] AliasAnalysisTest.AliasingMutationBlocksMoves2 (0 ms)
2022-11-23T03:26:13.2888978Z [ RUN      ] AliasAnalysisTest.SideEffectsBlockMoves
2022-11-23T03:26:13.2890101Z [       OK ] AliasAnalysisTest.SideEffectsBlockMoves (0 ms)
2022-11-23T03:26:13.2890682Z [ RUN      ] AliasAnalysisTest.MovingAcrossInnerBlocks
2022-11-23T03:26:13.2891241Z [       OK ] AliasAnalysisTest.MovingAcrossInnerBlocks (0 ms)
2022-11-23T03:26:13.2891715Z [ RUN      ] AliasAnalysisTest.NoneHasNoWriters
2022-11-23T03:26:13.2892613Z [       OK ] AliasAnalysisTest.NoneHasNoWriters (0 ms)
2022-11-23T03:26:13.2893818Z [ RUN      ] AliasAnalysisTest.SafeToChangeAliasingRelationship
2022-11-23T03:26:13.2894829Z [       OK ] AliasAnalysisTest.SafeToChangeAliasingRelationship (0 ms)
2022-11-23T03:26:13.2895983Z [----------] 6 tests from AliasAnalysisTest (7 ms total)
2022-11-23T03:26:13.2896663Z 
2022-11-23T03:26:13.2897118Z [----------] 4 tests from WriteTrackingTest
2022-11-23T03:26:13.2898008Z [ RUN      ] WriteTrackingTest.Basic
2022-11-23T03:26:13.2898547Z [       OK ] WriteTrackingTest.Basic (0 ms)
2022-11-23T03:26:13.2898962Z [ RUN      ] WriteTrackingTest.IsMutable
2022-11-23T03:26:13.2899642Z [       OK ] WriteTrackingTest.IsMutable (0 ms)
2022-11-23T03:26:13.2900346Z [ RUN      ] WriteTrackingTest.IsImmutable
2022-11-23T03:26:13.2900976Z [       OK ] WriteTrackingTest.IsImmutable (0 ms)
2022-11-23T03:26:13.2901594Z [ RUN      ] WriteTrackingTest.HasWriters
2022-11-23T03:26:13.2902093Z [       OK ] WriteTrackingTest.HasWriters (0 ms)
2022-11-23T03:26:13.2902557Z [----------] 4 tests from WriteTrackingTest (0 ms total)
2022-11-23T03:26:13.2902786Z 
2022-11-23T03:26:13.2903207Z [----------] 13 tests from ContainerAliasingTest
2022-11-23T03:26:13.2903656Z [ RUN      ] ContainerAliasingTest.MayContainAlias
2022-11-23T03:26:13.2904138Z [       OK ] ContainerAliasingTest.MayContainAlias (0 ms)
2022-11-23T03:26:13.2904802Z [ RUN      ] ContainerAliasingTest.MayContainAlias_cast
2022-11-23T03:26:13.2905340Z [       OK ] ContainerAliasingTest.MayContainAlias_cast (0 ms)
2022-11-23T03:26:13.2905938Z [ RUN      ] ContainerAliasingTest.PrimitveValuesDontAliasContainers
2022-11-23T03:26:13.2906736Z [       OK ] ContainerAliasingTest.PrimitveValuesDontAliasContainers (0 ms)
2022-11-23T03:26:13.2907333Z [ RUN      ] ContainerAliasingTest.UnionAliasing
2022-11-23T03:26:13.2907794Z [       OK ] ContainerAliasingTest.UnionAliasing (0 ms)
2022-11-23T03:26:13.2908327Z [ RUN      ] ContainerAliasingTest.InputsCanAliasOutputs
2022-11-23T03:26:13.2908864Z [       OK ] ContainerAliasingTest.InputsCanAliasOutputs (0 ms)
2022-11-23T03:26:13.2909405Z [ RUN      ] ContainerAliasingTest.NestedTupleConstruct
2022-11-23T03:26:13.2910136Z [       OK ] ContainerAliasingTest.NestedTupleConstruct (0 ms)
2022-11-23T03:26:13.2910638Z [ RUN      ] ContainerAliasingTest.NestedTypes
2022-11-23T03:26:13.2911117Z [       OK ] ContainerAliasingTest.NestedTypes (0 ms)
2022-11-23T03:26:13.2911542Z [ RUN      ] ContainerAliasingTest.Simple
2022-11-23T03:26:13.2912007Z [       OK ] ContainerAliasingTest.Simple (0 ms)
2022-11-23T03:26:13.2912462Z [ RUN      ] ContainerAliasingTest.Lists
2022-11-23T03:26:13.2913054Z [       OK ] ContainerAliasingTest.Lists (0 ms)
2022-11-23T03:26:13.2913483Z [ RUN      ] ContainerAliasingTest.Lists2
2022-11-23T03:26:13.2913922Z [       OK ] ContainerAliasingTest.Lists2 (0 ms)
2022-11-23T03:26:13.2914362Z [ RUN      ] ContainerAliasingTest.Conservative
2022-11-23T03:26:13.2914847Z [       OK ] ContainerAliasingTest.Conservative (0 ms)
2022-11-23T03:26:13.2915478Z [ RUN      ] ContainerAliasingTest.MovesAcrossContainedWrites
2022-11-23T03:26:13.2916214Z [       OK ] ContainerAliasingTest.MovesAcrossContainedWrites (0 ms)
2022-11-23T03:26:13.2916765Z [ RUN      ] ContainerAliasingTest.MovesAcrossContainedWritesNested
2022-11-23T03:26:13.2917638Z [       OK ] ContainerAliasingTest.MovesAcrossContainedWritesNested (0 ms)
2022-11-23T03:26:13.2918260Z [----------] 13 tests from ContainerAliasingTest (2 ms total)
2022-11-23T03:26:13.2918482Z 
2022-11-23T03:26:13.2918780Z [----------] 3 tests from WildcardsTest
2022-11-23T03:26:13.2919261Z [ RUN      ] WildcardsTest.Basic
2022-11-23T03:26:13.2919657Z [       OK ] WildcardsTest.Basic (0 ms)
2022-11-23T03:26:13.2920042Z [ RUN      ] WildcardsTest.TypeIsolation
2022-11-23T03:26:13.2920602Z [       OK ] WildcardsTest.TypeIsolation (0 ms)
2022-11-23T03:26:13.2921077Z [ RUN      ] WildcardsTest.InvariantContainerAliasing
2022-11-23T03:26:13.2921628Z [       OK ] WildcardsTest.InvariantContainerAliasing (0 ms)
2022-11-23T03:26:13.2922109Z [----------] 3 tests from WildcardsTest (0 ms total)
2022-11-23T03:26:13.2922373Z 
2022-11-23T03:26:13.2922582Z [----------] 18 tests from AliasRegistrationTest
2022-11-23T03:26:13.2923115Z [ RUN      ] AliasRegistrationTest.ConservativeWithInferredSchema
2022-11-23T03:26:13.2923745Z [       OK ] AliasRegistrationTest.ConservativeWithInferredSchema (0 ms)
2022-11-23T03:26:13.2924295Z [ RUN      ] AliasRegistrationTest.ConservativeWithSpecifiedSchema
2022-11-23T03:26:13.2925529Z [       OK ] AliasRegistrationTest.ConservativeWithSpecifiedSchema (0 ms)
2022-11-23T03:26:13.2926225Z [ RUN      ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError
2022-11-23T03:26:13.2971307Z [       OK ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError (4 ms)
2022-11-23T03:26:13.2972174Z [ RUN      ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError2
2022-11-23T03:26:13.3014097Z [       OK ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError2 (4 ms)
2022-11-23T03:26:13.3014899Z [ RUN      ] AliasRegistrationTest.FromSchemaWithInferredSchemaShouldError
2022-11-23T03:26:13.3029268Z [       OK ] AliasRegistrationTest.FromSchemaWithInferredSchemaShouldError (1 ms)
2022-11-23T03:26:13.3029886Z [ RUN      ] AliasRegistrationTest.FromSchemaInferredPure
2022-11-23T03:26:13.3030705Z [       OK ] AliasRegistrationTest.FromSchemaInferredPure (0 ms)
2022-11-23T03:26:13.3031297Z [ RUN      ] AliasRegistrationTest.FromSchemaAliased
2022-11-23T03:26:13.3032550Z [       OK ] AliasRegistrationTest.FromSchemaAliased (0 ms)
2022-11-23T03:26:13.3033048Z [ RUN      ] AliasRegistrationTest.FromSchemaPure
2022-11-23T03:26:13.3034149Z [       OK ] AliasRegistrationTest.FromSchemaPure (0 ms)
2022-11-23T03:26:13.3034681Z [ RUN      ] AliasRegistrationTest.PureNoSchema
2022-11-23T03:26:13.3035634Z [       OK ] AliasRegistrationTest.PureNoSchema (0 ms)
2022-11-23T03:26:13.3036239Z [ RUN      ] AliasRegistrationTest.PureWithSchema
2022-11-23T03:26:13.3037337Z [       OK ] AliasRegistrationTest.PureWithSchema (0 ms)
2022-11-23T03:26:13.3037914Z [ RUN      ] AliasRegistrationTest.PureWithAnnotationsShouldError
2022-11-23T03:26:13.3081866Z [       OK ] AliasRegistrationTest.PureWithAnnotationsShouldError (4 ms)
2022-11-23T03:26:13.3082862Z [ RUN      ] AliasRegistrationTest.AliasMoveAtenListOp
2022-11-23T03:26:13.3083483Z [       OK ] AliasRegistrationTest.AliasMoveAtenListOp (0 ms)
2022-11-23T03:26:13.3084353Z [ RUN      ] AliasRegistrationTest.AliasMoveForTupleConstructWithSingleUseAsGraphOutput
2022-11-23T03:26:13.3085445Z [       OK ] AliasRegistrationTest.AliasMoveForTupleConstructWithSingleUseAsGraphOutput (0 ms)
2022-11-23T03:26:13.3086310Z [ RUN      ] AliasRegistrationTest.RecursiveSubgraphTupleContainment
2022-11-23T03:26:13.3087102Z [       OK ] AliasRegistrationTest.RecursiveSubgraphTupleContainment (0 ms)
2022-11-23T03:26:13.3087986Z [ RUN      ] AliasRegistrationTest.WildcardAliasForTupleConstructWithUses
2022-11-23T03:26:13.3088703Z [       OK ] AliasRegistrationTest.WildcardAliasForTupleConstructWithUses (0 ms)
2022-11-23T03:26:13.3089579Z [ RUN      ] AliasRegistrationTest.ATenSplitIntListAliasCheck
2022-11-23T03:26:13.3090253Z [       OK ] AliasRegistrationTest.ATenSplitIntListAliasCheck (0 ms)
2022-11-23T03:26:13.3090944Z [ RUN      ] AliasRegistrationTest.ATenSplitIntAliasCheck
2022-11-23T03:26:13.3092107Z [       OK ] AliasRegistrationTest.ATenSplitIntAliasCheck (0 ms)
2022-11-23T03:26:13.3092701Z [ RUN      ] AliasRegistrationTest.PureWithAnnotationsShouldError2
2022-11-23T03:26:13.3130704Z [       OK ] AliasRegistrationTest.PureWithAnnotationsShouldError2 (4 ms)
2022-11-23T03:26:13.3131665Z [----------] 18 tests from AliasRegistrationTest (20 ms total)
2022-11-23T03:26:13.3132032Z 
2022-11-23T03:26:13.3132311Z [----------] 2 tests from IRNonDeterminismTest
2022-11-23T03:26:13.3132947Z [ RUN      ] IRNonDeterminismTest.Basic
2022-11-23T03:26:13.3133419Z [       OK ] IRNonDeterminismTest.Basic (0 ms)
2022-11-23T03:26:13.3134066Z [ RUN      ] IRNonDeterminismTest.DropoutSpecialCase
2022-11-23T03:26:13.3134647Z [       OK ] IRNonDeterminismTest.DropoutSpecialCase (0 ms)
2022-11-23T03:26:13.3135264Z [----------] 2 tests from IRNonDeterminismTest (0 ms total)
2022-11-23T03:26:13.3135586Z 
2022-11-23T03:26:13.3136015Z [----------] 1 test from NonDeterminismBackwardsCompatibility
2022-11-23T03:26:13.3137232Z [ RUN      ] NonDeterminismBackwardsCompatibility.BackwardsCompatibility
2022-11-23T03:26:13.3138184Z [       OK ] NonDeterminismBackwardsCompatibility.BackwardsCompatibility (0 ms)
2022-11-23T03:26:13.3138823Z [----------] 1 test from NonDeterminismBackwardsCompatibility (0 ms total)
2022-11-23T03:26:13.3139638Z 
2022-11-23T03:26:13.3139918Z [----------] 2 tests from ArgumentSpecTest
2022-11-23T03:26:13.3140487Z [ RUN      ] ArgumentSpecTest.CompleteArgumentSpec_CUDA
2022-11-23T03:26:14.8650318Z [       OK ] ArgumentSpecTest.CompleteArgumentSpec_CUDA (1551 ms)
2022-11-23T03:26:14.8650994Z [ RUN      ] ArgumentSpecTest.Basic_CUDA
2022-11-23T03:26:14.8651702Z [       OK ] ArgumentSpecTest.Basic_CUDA (0 ms)
2022-11-23T03:26:14.8652064Z [----------] 2 tests from ArgumentSpecTest (1551 ms total)
2022-11-23T03:26:14.8652334Z 
2022-11-23T03:26:14.8652549Z [----------] 3 tests from AutodiffTest
2022-11-23T03:26:14.8652934Z [ RUN      ] AutodiffTest.ADFormulas
2022-11-23T03:26:14.9450365Z [       OK ] AutodiffTest.ADFormulas (79 ms)
2022-11-23T03:26:14.9450818Z [ RUN      ] AutodiffTest.Differentiate
2022-11-23T03:26:14.9456574Z [       OK ] AutodiffTest.Differentiate (0 ms)
2022-11-23T03:26:14.9457396Z [ RUN      ] AutodiffTest.DifferentiateWithRequiresGrad
2022-11-23T03:26:14.9489442Z [       OK ] AutodiffTest.DifferentiateWithRequiresGrad (2 ms)
2022-11-23T03:26:14.9489911Z [----------] 3 tests from AutodiffTest (83 ms total)
2022-11-23T03:26:14.9490148Z 
2022-11-23T03:26:14.9490437Z [----------] 1 test from AutodiffRemoveUnusedGradientsTest
2022-11-23T03:26:14.9490951Z [ RUN      ] AutodiffRemoveUnusedGradientsTest.Linear
2022-11-23T03:26:14.9511327Z [       OK ] AutodiffRemoveUnusedGradientsTest.Linear (2 ms)
2022-11-23T03:26:14.9511869Z [----------] 1 test from AutodiffRemoveUnusedGradientsTest (2 ms total)
2022-11-23T03:26:14.9512153Z 
2022-11-23T03:26:14.9512380Z [----------] 1 test from UpgraderLoad
2022-11-23T03:26:14.9512804Z [ RUN      ] UpgraderLoad.CanPopulateUpgradersGraph
2022-11-23T03:26:14.9590456Z [       OK ] UpgraderLoad.CanPopulateUpgradersGraph (7 ms)
2022-11-23T03:26:14.9591176Z [----------] 1 test from UpgraderLoad (7 ms total)
2022-11-23T03:26:14.9591543Z 
2022-11-23T03:26:14.9591772Z [----------] 4 tests from OpReplacementTest
2022-11-23T03:26:14.9592243Z [ RUN      ] OpReplacementTest.ReplaceDivInSimpleFunction
2022-11-23T03:26:14.9592808Z [       OK ] OpReplacementTest.ReplaceDivInSimpleFunction (0 ms)
2022-11-23T03:26:14.9593376Z [ RUN      ] OpReplacementTest.ReplaceTwoOpsInSimpleFunction
2022-11-23T03:26:14.9594331Z [       OK ] OpReplacementTest.ReplaceTwoOpsInSimpleFunction (0 ms)
2022-11-23T03:26:14.9595320Z [ RUN      ] OpReplacementTest.ReplaceDivInNestedFunction
2022-11-23T03:26:14.9597701Z [       OK ] OpReplacementTest.ReplaceDivInNestedFunction (0 ms)
2022-11-23T03:26:14.9598456Z [ RUN      ] OpReplacementTest.ReplaceTestSubcmulInSimpleFunction
2022-11-23T03:26:14.9599661Z [       OK ] OpReplacementTest.ReplaceTestSubcmulInSimpleFunction (0 ms)
2022-11-23T03:26:14.9600334Z [----------] 4 tests from OpReplacementTest (1 ms total)
2022-11-23T03:26:14.9600756Z 
2022-11-23T03:26:14.9600998Z [----------] 4 tests from UpgraderUtils
2022-11-23T03:26:14.9601394Z [ RUN      ] UpgraderUtils.FindCorrectUpgrader
2022-11-23T03:26:14.9601843Z [       OK ] UpgraderUtils.FindCorrectUpgrader (0 ms)
2022-11-23T03:26:14.9602303Z [ RUN      ] UpgraderUtils.IsVersionMapSorted
2022-11-23T03:26:14.9602769Z [       OK ] UpgraderUtils.IsVersionMapSorted (0 ms)
2022-11-23T03:26:14.9603217Z [ RUN      ] UpgraderUtils.FindIfOpIsCurrent
2022-11-23T03:26:14.9603667Z [       OK ] UpgraderUtils.FindIfOpIsCurrent (0 ms)
2022-11-23T03:26:14.9604111Z [ RUN      ] UpgraderUtils.CanLoadHistoricOp
2022-11-23T03:26:14.9604560Z [       OK ] UpgraderUtils.CanLoadHistoricOp (0 ms)
2022-11-23T03:26:14.9604993Z [----------] 4 tests from UpgraderUtils (0 ms total)
2022-11-23T03:26:14.9605213Z 
2022-11-23T03:26:14.9605569Z [----------] 9 tests from BackendTest
2022-11-23T03:26:14.9605963Z [ RUN      ] BackendTest.ToBackend
2022-11-23T03:26:14.9690263Z [       OK ] BackendTest.ToBackend (8 ms)
2022-11-23T03:26:14.9690791Z [ RUN      ] BackendTest.ToBackendNotAvailable
2022-11-23T03:26:14.9730996Z [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module)
2022-11-23T03:26:14.9762945Z [       OK ] BackendTest.ToBackendNotAvailable (7 ms)
2022-11-23T03:26:14.9763439Z [ RUN      ] BackendTest.TestCompiler
2022-11-23T03:26:14.9868351Z [       OK ] BackendTest.TestCompiler (10 ms)
2022-11-23T03:26:14.9868902Z [ RUN      ] BackendTest.TestCompilerWithStringTable
2022-11-23T03:26:14.9972844Z [       OK ] BackendTest.TestCompilerWithStringTable (10 ms)
2022-11-23T03:26:14.9973385Z [ RUN      ] BackendTest.TestComposite
2022-11-23T03:26:15.0165161Z [       OK ] BackendTest.TestComposite (19 ms)
2022-11-23T03:26:15.0165679Z [ RUN      ] BackendTest.TestPrimDtype
2022-11-23T03:26:15.0174511Z [       OK ] BackendTest.TestPrimDtype (1 ms)
2022-11-23T03:26:15.0175131Z [ RUN      ] BackendTest.TestCompositeWithSetStates
2022-11-23T03:26:15.0370139Z [       OK ] BackendTest.TestCompositeWithSetStates (19 ms)
2022-11-23T03:26:15.0370745Z [ RUN      ] BackendTest.TestConsistencyOfCompositeWithSetStates
2022-11-23T03:26:15.0713562Z [       OK ] BackendTest.TestConsistencyOfCompositeWithSetStates (34 ms)
2022-11-23T03:26:15.0714155Z [ RUN      ] BackendTest.TestCompilerNotSupport
2022-11-23T03:26:15.0745160Z [       OK ] BackendTest.TestCompilerNotSupport (3 ms)
2022-11-23T03:26:15.0745703Z [----------] 9 tests from BackendTest (114 ms total)
2022-11-23T03:26:15.0745954Z 
2022-11-23T03:26:15.0746192Z [----------] 6 tests from BackendTestDebugInfo
2022-11-23T03:26:15.0746610Z [ RUN      ] BackendTestDebugInfo.TestCompiler
2022-11-23T03:26:15.0932133Z [       OK ] BackendTestDebugInfo.TestCompiler (18 ms)
2022-11-23T03:26:15.0932758Z [ RUN      ] BackendTestDebugInfo.TestCompilerWithStringTable
2022-11-23T03:26:15.1118290Z [       OK ] BackendTestDebugInfo.TestCompilerWithStringTable (18 ms)
2022-11-23T03:26:15.1119057Z [ RUN      ] BackendTestDebugInfo.TestExceptionStackForCompilerWithModuleHierarchy
2022-11-23T03:26:15.1310906Z [       OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithModuleHierarchy (19 ms)
2022-11-23T03:26:15.1311950Z [ RUN      ] BackendTestDebugInfo.TestExceptionStackForCompilerWithTwoLevelModuleHierarchy
2022-11-23T03:26:15.1503436Z [       OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithTwoLevelModuleHierarchy (19 ms)
2022-11-23T03:26:15.1504353Z [ RUN      ] BackendTestDebugInfo.TestExceptionStackForCompilerWithLoweredSubModule
2022-11-23T03:26:15.1702082Z [       OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithLoweredSubModule (19 ms)
2022-11-23T03:26:15.1703030Z [ RUN      ] BackendTestDebugInfo.TestExceptionStackForCompilerWithSelectiveLoweredSubModule
2022-11-23T03:26:15.1910545Z [       OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithSelectiveLoweredSubModule (20 ms)
2022-11-23T03:26:15.1911311Z [----------] 6 tests from BackendTestDebugInfo (116 ms total)
2022-11-23T03:26:15.1911593Z 
2022-11-23T03:26:15.1911812Z [----------] 4 tests from ClassImportTest
2022-11-23T03:26:15.1912207Z [ RUN      ] ClassImportTest.Basic
2022-11-23T03:26:15.1919805Z [       OK ] ClassImportTest.Basic (1 ms)
2022-11-23T03:26:15.1920240Z [ RUN      ] ClassImportTest.ScriptObject
2022-11-23T03:26:15.1960412Z [       OK ] ClassImportTest.ScriptObject (3 ms)
2022-11-23T03:26:15.1961095Z [ RUN      ] ClassImportTest.ClassDerive
2022-11-23T03:26:15.1961814Z [       OK ] ClassImportTest.ClassDerive (0 ms)
2022-11-23T03:26:15.1962214Z [ RUN      ] ClassImportTest.CustomClass
2022-11-23T03:26:15.1962917Z [       OK ] ClassImportTest.CustomClass (0 ms)
2022-11-23T03:26:15.1963718Z [----------] 4 tests from ClassImportTest (5 ms total)
2022-11-23T03:26:15.1963977Z 
2022-11-23T03:26:15.1964279Z [----------] 1 test from ClassParserTest
2022-11-23T03:26:15.1964684Z [ RUN      ] ClassParserTest.Basic
2022-11-23T03:26:15.1965538Z [       OK ] ClassParserTest.Basic (0 ms)
2022-11-23T03:26:15.1966147Z [----------] 1 test from ClassParserTest (0 ms total)
2022-11-23T03:26:15.1966371Z 
2022-11-23T03:26:15.1966664Z [----------] 3 tests from ClassTypeTest
2022-11-23T03:26:15.1966960Z [ RUN      ] ClassTypeTest.AddRemoveAttr
2022-11-23T03:26:15.1967407Z [       OK ] ClassTypeTest.AddRemoveAttr (0 ms)
2022-11-23T03:26:15.1967964Z [ RUN      ] ClassTypeTest.AddRemoveConstant
2022-11-23T03:26:15.1968279Z [       OK ] ClassTypeTest.AddRemoveConstant (0 ms)
2022-11-23T03:26:15.1968771Z [ RUN      ] ClassTypeTest.IdenticalTypesDifferentCus
2022-11-23T03:26:15.1981704Z [       OK ] ClassTypeTest.IdenticalTypesDifferentCus (1 ms)
2022-11-23T03:26:15.1982484Z [----------] 3 tests from ClassTypeTest (1 ms total)
2022-11-23T03:26:15.1982706Z 
2022-11-23T03:26:15.1982949Z [----------] 2 tests from TestCodeTemplate
2022-11-23T03:26:15.1983286Z [ RUN      ] TestCodeTemplate.Copying
2022-11-23T03:26:15.1983699Z [       OK ] TestCodeTemplate.Copying (0 ms)
2022-11-23T03:26:15.1984092Z [ RUN      ] TestCodeTemplate.Formatting
2022-11-23T03:26:15.1984534Z [       OK ] TestCodeTemplate.Formatting (0 ms)
2022-11-23T03:26:15.1984984Z [----------] 2 tests from TestCodeTemplate (0 ms total)
2022-11-23T03:26:15.1985216Z 
2022-11-23T03:26:15.1985475Z [----------] 13 tests from ConcatOptTest
2022-11-23T03:26:15.1985915Z [ RUN      ] ConcatOptTest.SimpleCommonInputsEliminationPrefix
2022-11-23T03:26:15.2055477Z [       OK ] ConcatOptTest.SimpleCommonInputsEliminationPrefix (6 ms)
2022-11-23T03:26:15.2057167Z [ RUN      ] ConcatOptTest.SimpleCommonInputsEliminationSuffix
2022-11-23T03:26:15.2102127Z [       OK ] ConcatOptTest.SimpleCommonInputsEliminationSuffix (4 ms)
2022-11-23T03:26:15.2103457Z [ RUN      ] ConcatOptTest.CommonInputsEliminationWithDifferentOrderInputs
2022-11-23T03:26:15.2154047Z [       OK ] ConcatOptTest.CommonInputsEliminationWithDifferentOrderInputs (5 ms)
2022-11-23T03:26:15.2155307Z [ RUN      ] ConcatOptTest.MoreCommonInputsElimination
2022-11-23T03:26:15.2246346Z [       OK ] ConcatOptTest.MoreCommonInputsElimination (9 ms)
2022-11-23T03:26:15.2286145Z [ RUN      ] ConcatOptTest.ExpandConcat
2022-11-23T03:26:15.2287087Z [       OK ] ConcatOptTest.ExpandConcat (3 ms)
2022-11-23T03:26:15.2287989Z [ RUN      ] ConcatOptTest.ConcatWithoutResultShape
2022-11-23T03:26:15.2320696Z [       OK ] ConcatOptTest.ConcatWithoutResultShape (3 ms)
2022-11-23T03:26:15.2321605Z [ RUN      ] ConcatOptTest.ConcatWithoutInputShape
2022-11-23T03:26:15.2356057Z [       OK ] ConcatOptTest.ConcatWithoutInputShape (3 ms)
2022-11-23T03:26:15.2356978Z [ RUN      ] ConcatOptTest.UseVariadicCat
2022-11-23T03:26:15.2426698Z [       OK ] ConcatOptTest.UseVariadicCat (7 ms)
2022-11-23T03:26:15.2427761Z [ RUN      ] ConcatOptTest.UseVariadicCatWithMultipleListUses
2022-11-23T03:26:15.2459469Z [       OK ] ConcatOptTest.UseVariadicCatWithMultipleListUses (3 ms)
2022-11-23T03:26:15.2460724Z [ RUN      ] ConcatOptTest.UseVariadicCatWithListMutationAfterCat
2022-11-23T03:26:15.2501832Z [       OK ] ConcatOptTest.UseVariadicCatWithListMutationAfterCat (4 ms)
2022-11-23T03:26:15.2503131Z [ RUN      ] ConcatOptTest.UseVariadicCatWithListMutationBeforeCat
2022-11-23T03:26:15.2547894Z [       OK ] ConcatOptTest.UseVariadicCatWithListMutationBeforeCat (4 ms)
2022-11-23T03:26:15.2549217Z [ RUN      ] ConcatOptTest.UseVariadicCatWithMultipleListMutations
2022-11-23T03:26:15.2621626Z [       OK ] ConcatOptTest.UseVariadicCatWithMultipleListMutations (7 ms)
2022-11-23T03:26:15.2623181Z [ RUN      ] ConcatOptTest.RemoveListMutationUseVariadicCatAndCommonInputsElimination
2022-11-23T03:26:15.2675699Z [       OK ] ConcatOptTest.RemoveListMutationUseVariadicCatAndCommonInputsElimination (5 ms)
2022-11-23T03:26:15.2677055Z [----------] 13 tests from ConcatOptTest (68 ms total)
2022-11-23T03:26:15.2677486Z 
2022-11-23T03:26:15.2677917Z [----------] 1 test from OptimizeConcatTest
2022-11-23T03:26:15.2678905Z [ RUN      ] OptimizeConcatTest.UseVariadicCatReplaceMultiple
2022-11-23T03:26:15.2729306Z [       OK ] OptimizeConcatTest.UseVariadicCatReplaceMultiple (5 ms)
2022-11-23T03:26:15.2730529Z [----------] 1 test from OptimizeConcatTest (5 ms total)
2022-11-23T03:26:15.2730995Z 
2022-11-23T03:26:15.2731398Z [----------] 3 tests from ConcatOpt
2022-11-23T03:26:15.2732222Z [ RUN      ] ConcatOpt.CombineConcatsSimpleCase
2022-11-23T03:26:15.2733157Z [       OK ] ConcatOpt.CombineConcatsSimpleCase (0 ms)
2022-11-23T03:26:15.2734139Z [ RUN      ] ConcatOpt.CombineConcatsLongChain
2022-11-23T03:26:15.2735126Z [       OK ] ConcatOpt.CombineConcatsLongChain (0 ms)
2022-11-23T03:26:15.2736063Z [ RUN      ] ConcatOpt.CombineConcatsMutation
2022-11-23T03:26:15.2737590Z [       OK ] ConcatOpt.CombineConcatsMutation (0 ms)
2022-11-23T03:26:15.2738480Z [----------] 3 tests from ConcatOpt (1 ms total)
2022-11-23T03:26:15.2738885Z 
2022-11-23T03:26:15.2739433Z [----------] 4 tests from ConstantPoolingTest
2022-11-23T03:26:15.2740203Z [ RUN      ] ConstantPoolingTest.Int
2022-11-23T03:26:15.2740875Z [       OK ] ConstantPoolingTest.Int (0 ms)
2022-11-23T03:26:15.2741758Z [ RUN      ] ConstantPoolingTest.PoolingAcrossBlocks
2022-11-23T03:26:15.2742790Z [       OK ] ConstantPoolingTest.PoolingAcrossBlocks (0 ms)
2022-11-23T03:26:15.2743771Z [ RUN      ] ConstantPoolingTest.PoolingDifferentDevices
2022-11-23T03:26:15.2747932Z [       OK ] ConstantPoolingTest.PoolingDifferentDevices (0 ms)
2022-11-23T03:26:15.2749630Z [ RUN      ] ConstantPoolingTest.DictConstantPooling
2022-11-23T03:26:15.2750614Z [       OK ] ConstantPoolingTest.DictConstantPooling (0 ms)
2022-11-23T03:26:15.2751621Z [----------] 4 tests from ConstantPoolingTest (1 ms total)
2022-11-23T03:26:15.2752070Z 
2022-11-23T03:26:15.2752487Z [----------] 1 test from CleanupPassTest
2022-11-23T03:26:15.2753242Z [ RUN      ] CleanupPassTest.Basic
2022-11-23T03:26:15.2754029Z [       OK ] CleanupPassTest.Basic (0 ms)
2022-11-23T03:26:15.2754866Z [----------] 1 test from CleanupPassTest (0 ms total)
2022-11-23T03:26:15.2755201Z 
2022-11-23T03:26:15.2755653Z [----------] 1 test from CreateAutodiffSubgraphsTest
2022-11-23T03:26:15.2756534Z [ RUN      ] CreateAutodiffSubgraphsTest.Basic
2022-11-23T03:26:15.2763695Z [       OK ] CreateAutodiffSubgraphsTest.Basic (0 ms)
2022-11-23T03:26:15.2764637Z [----------] 1 test from CreateAutodiffSubgraphsTest (0 ms total)
2022-11-23T03:26:15.2765162Z 
2022-11-23T03:26:15.2765577Z [----------] 4 tests from CustomClassTest
2022-11-23T03:26:15.2766388Z [ RUN      ] CustomClassTest.TorchbindIValueAPI
2022-11-23T03:26:15.2778098Z [       OK ] CustomClassTest.TorchbindIValueAPI (1 ms)
2022-11-23T03:26:15.2779558Z [ RUN      ] CustomClassTest.ScalarTypeClass
2022-11-23T03:26:15.2782272Z [       OK ] CustomClassTest.ScalarTypeClass (0 ms)
2022-11-23T03:26:15.2783058Z [ RUN      ] CustomClassTest.TestDocString
2022-11-23T03:26:15.2783875Z [       OK ] CustomClassTest.TestDocString (0 ms)
2022-11-23T03:26:15.2784644Z [ RUN      ] CustomClassTest.Serialization
2022-11-23T03:26:15.2812268Z [       OK ] CustomClassTest.Serialization (2 ms)
2022-11-23T03:26:15.2813344Z [----------] 4 tests from CustomClassTest (4 ms total)
2022-11-23T03:26:15.2813839Z 
2022-11-23T03:26:15.2814245Z [----------] 5 tests from CustomOperatorTest
2022-11-23T03:26:15.2815304Z [ RUN      ] CustomOperatorTest.InferredSchema
2022-11-23T03:26:15.2816796Z [       OK ] CustomOperatorTest.InferredSchema (0 ms)
2022-11-23T03:26:15.2817781Z [ RUN      ] CustomOperatorTest.ExplicitSchema
2022-11-23T03:26:15.2819640Z [       OK ] CustomOperatorTest.ExplicitSchema (0 ms)
2022-11-23T03:26:15.2820639Z [ RUN      ] CustomOperatorTest.ListParameters
2022-11-23T03:26:15.2823369Z [       OK ] CustomOperatorTest.ListParameters (0 ms)
2022-11-23T03:26:15.2824351Z [ RUN      ] CustomOperatorTest.ListParameters2
2022-11-23T03:26:15.2827776Z [       OK ] CustomOperatorTest.ListParameters2 (0 ms)
2022-11-23T03:26:15.2828655Z [ RUN      ] CustomOperatorTest.Aliasing
2022-11-23T03:26:15.2833156Z [       OK ] CustomOperatorTest.Aliasing (0 ms)
2022-11-23T03:26:15.2834096Z [----------] 5 tests from CustomOperatorTest (2 ms total)
2022-11-23T03:26:15.2834592Z 
2022-11-23T03:26:15.2835039Z [----------] 2 tests from TestCustomOperator
2022-11-23T03:26:15.2836059Z [ RUN      ] TestCustomOperator.OperatorGeneratorUndeclared
2022-11-23T03:26:15.2837131Z [       OK ] TestCustomOperator.OperatorGeneratorUndeclared (0 ms)
2022-11-23T03:26:15.2838155Z [ RUN      ] TestCustomOperator.OperatorGeneratorBasic
2022-11-23T03:26:15.2839270Z [       OK ] TestCustomOperator.OperatorGeneratorBasic (0 ms)
2022-11-23T03:26:15.2840119Z [----------] 2 tests from TestCustomOperator (0 ms total)
2022-11-23T03:26:15.2840492Z 
2022-11-23T03:26:15.2840938Z [----------] 1 test from EliminateDeadCodeTest
2022-11-23T03:26:15.2841673Z [ RUN      ] EliminateDeadCodeTest.Basic
2022-11-23T03:26:15.2842470Z [       OK ] EliminateDeadCodeTest.Basic (0 ms)
2022-11-23T03:26:15.2843310Z [----------] 1 test from EliminateDeadCodeTest (0 ms total)
2022-11-23T03:26:15.2844318Z 
2022-11-23T03:26:15.2844669Z [----------] 5 tests from FuserTest
2022-11-23T03:26:15.2845371Z [ RUN      ] FuserTest.TestSimple_CUDA
2022-11-23T03:26:15.4654044Z [       OK ] FuserTest.TestSimple_CUDA (180 ms)
2022-11-23T03:26:15.4654927Z [ RUN      ] FuserTest.TestOne_CUDA
2022-11-23T03:26:16.2334021Z [       OK ] FuserTest.TestOne_CUDA (767 ms)
2022-11-23T03:26:16.2335042Z [ RUN      ] FuserTest.FusedConcat_CUDA
2022-11-23T03:26:16.8305649Z [       OK ] FuserTest.FusedConcat_CUDA (597 ms)
2022-11-23T03:26:16.8306523Z [ RUN      ] FuserTest.FusionAliasing
2022-11-23T03:26:16.8310094Z [       OK ] FuserTest.FusionAliasing (0 ms)
2022-11-23T03:26:16.8310897Z [ RUN      ] FuserTest.KernelCaching
2022-11-23T03:26:16.8317595Z [       OK ] FuserTest.KernelCaching (0 ms)
2022-11-23T03:26:16.8318482Z [----------] 5 tests from FuserTest (1547 ms total)
2022-11-23T03:26:16.8318874Z 
2022-11-23T03:26:16.8319332Z [----------] 2 tests from GraphExecutorTest
2022-11-23T03:26:16.8320007Z [ RUN      ] GraphExecutorTest.Basic_CUDA
2022-11-23T03:26:17.2993855Z [       OK ] GraphExecutorTest.Basic_CUDA (467 ms)
2022-11-23T03:26:17.2994828Z [ RUN      ] GraphExecutorTest.runAsync_executor
2022-11-23T03:26:17.3055200Z [       OK ] GraphExecutorTest.runAsync_executor (6 ms)
2022-11-23T03:26:17.3055846Z [----------] 2 tests from GraphExecutorTest (473 ms total)
2022-11-23T03:26:17.3056534Z 
2022-11-23T03:26:17.3056949Z [----------] 5 tests from GraphIteratorTest
2022-11-23T03:26:17.3057381Z [ RUN      ] GraphIteratorTest.ConstantReturnGraph
2022-11-23T03:26:17.3057951Z [       OK ] GraphIteratorTest.ConstantReturnGraph (0 ms)
2022-11-23T03:26:17.3058662Z [ RUN      ] GraphIteratorTest.GraphWithParameters
2022-11-23T03:26:17.3059206Z [       OK ] GraphIteratorTest.GraphWithParameters (0 ms)
2022-11-23T03:26:17.3059931Z [ RUN      ] GraphIteratorTest.GraphWithIf
2022-11-23T03:26:17.3060376Z [       OK ] GraphIteratorTest.GraphWithIf (0 ms)
2022-11-23T03:26:17.3060882Z [ RUN      ] GraphIteratorTest.GraphWithNestedIf
2022-11-23T03:26:17.3061352Z [       OK ] GraphIteratorTest.GraphWithNestedIf (0 ms)
2022-11-23T03:26:17.3061807Z [ RUN      ] GraphIteratorTest.GraphWithLoop
2022-11-23T03:26:17.3062281Z [       OK ] GraphIteratorTest.GraphWithLoop (0 ms)
2022-11-23T03:26:17.3062761Z [----------] 5 tests from GraphIteratorTest (0 ms total)
2022-11-23T03:26:17.3062993Z 
2022-11-23T03:26:17.3063310Z [----------] 1 test from CSDebugInfoSerializaitionTest
2022-11-23T03:26:17.3063763Z [ RUN      ] CSDebugInfoSerializaitionTest.TwoSubmodules
2022-11-23T03:26:17.3071329Z [       OK ] CSDebugInfoSerializaitionTest.TwoSubmodules (1 ms)
2022-11-23T03:26:17.3072104Z [----------] 1 test from CSDebugInfoSerializaitionTest (1 ms total)
2022-11-23T03:26:17.3072375Z 
2022-11-23T03:26:17.3072562Z [----------] 1 test from InlinerTest
2022-11-23T03:26:17.3072908Z [ RUN      ] InlinerTest.Basic
2022-11-23T03:26:17.3075769Z [       OK ] InlinerTest.Basic (0 ms)
2022-11-23T03:26:17.3076188Z [----------] 1 test from InlinerTest (0 ms total)
2022-11-23T03:26:17.3076379Z 
2022-11-23T03:26:17.3076601Z [----------] 1 test from InterfaceTest
2022-11-23T03:26:17.3077046Z [ RUN      ] InterfaceTest.ModuleInterfaceSerialization
2022-11-23T03:26:17.3100808Z [       OK ] InterfaceTest.ModuleInterfaceSerialization (2 ms)
2022-11-23T03:26:17.3101791Z [----------] 1 test from InterfaceTest (2 ms total)
2022-11-23T03:26:17.3102102Z 
2022-11-23T03:26:17.3102443Z [----------] 5 tests from TypeCheckTest
2022-11-23T03:26:17.3102962Z [ RUN      ] TypeCheckTest.MatchingType
2022-11-23T03:26:17.3103416Z [       OK ] TypeCheckTest.MatchingType (0 ms)
2022-11-23T03:26:17.3104404Z [ RUN      ] TypeCheckTest.SizeMismatch
2022-11-23T03:26:17.3104829Z [       OK ] TypeCheckTest.SizeMismatch (0 ms)
2022-11-23T03:26:17.3105501Z [ RUN      ] TypeCheckTest.GradientMismatch
2022-11-23T03:26:17.3105967Z [       OK ] TypeCheckTest.GradientMismatch (0 ms)
2022-11-23T03:26:17.3106609Z [ RUN      ] TypeCheckTest.ScalarTypeMismatch
2022-11-23T03:26:17.3107094Z [       OK ] TypeCheckTest.ScalarTypeMismatch (0 ms)
2022-11-23T03:26:17.3107559Z [ RUN      ] TypeCheckTest.DeviceMismatch_CUDA
2022-11-23T03:26:17.3109357Z [       OK ] TypeCheckTest.DeviceMismatch_CUDA (0 ms)
2022-11-23T03:26:17.3109806Z [----------] 5 tests from TypeCheckTest (1 ms total)
2022-11-23T03:26:17.3110031Z 
2022-11-23T03:26:17.3110272Z [----------] 4 tests from InterpreterTest
2022-11-23T03:26:17.3110882Z [ RUN      ] InterpreterTest.Basic_CUDA
2022-11-23T03:26:17.3120039Z [       OK ] InterpreterTest.Basic_CUDA (1 ms)
2022-11-23T03:26:17.3120751Z [ RUN      ] InterpreterTest.IgnorableArgsInSchema
2022-11-23T03:26:17.3126508Z [       OK ] InterpreterTest.IgnorableArgsInSchema (0 ms)
2022-11-23T03:26:17.3127039Z [ RUN      ] InterpreterTest.IgnorableArgsInSchemaWithOut
2022-11-23T03:26:17.3127819Z [       OK ] InterpreterTest.IgnorableArgsInSchemaWithOut (0 ms)
2022-11-23T03:26:17.3128341Z [ RUN      ] InterpreterTest.runAsyncBasicTest
2022-11-23T03:26:17.3169700Z [       OK ] InterpreterTest.runAsyncBasicTest (3 ms)
2022-11-23T03:26:17.3170259Z [----------] 4 tests from InterpreterTest (5 ms total)
2022-11-23T03:26:17.3170494Z 
2022-11-23T03:26:17.3170787Z [----------] 1 test from EnableRethrowCaughtExceptionTest
2022-11-23T03:26:17.3171751Z [ RUN      ] EnableRethrowCaughtExceptionTest.EnableRethrowCaughtExceptionTestRethrowsCaughtException
2022-11-23T03:26:17.3409122Z [       OK ] EnableRethrowCaughtExceptionTest.EnableRethrowCaughtExceptionTestRethrowsCaughtException (23 ms)
2022-11-23T03:26:17.3410269Z [----------] 1 test from EnableRethrowCaughtExceptionTest (23 ms total)
2022-11-23T03:26:17.3410545Z 
2022-11-23T03:26:17.3410739Z [----------] 4 tests from IRTest
2022-11-23T03:26:17.3411278Z [ RUN      ] IRTest.Attributes
2022-11-23T03:26:17.3411750Z [       OK ] IRTest.Attributes (0 ms)
2022-11-23T03:26:17.3412080Z [ RUN      ] IRTest.Blocks
2022-11-23T03:26:17.3412585Z [       OK ] IRTest.Blocks (0 ms)
2022-11-23T03:26:17.3413079Z [ RUN      ] IRTest.CommonAncestor
2022-11-23T03:26:17.3413609Z [       OK ] IRTest.CommonAncestor (0 ms)
2022-11-23T03:26:17.3414400Z [ RUN      ] IRTest.OperatorMap
2022-11-23T03:26:17.3415218Z [       OK ] IRTest.OperatorMap (0 ms)
2022-11-23T03:26:17.3415753Z [----------] 4 tests from IRTest (0 ms total)
2022-11-23T03:26:17.3415973Z 
2022-11-23T03:26:17.3416704Z [----------] 21 tests from IRParserTest
2022-11-23T03:26:17.3417474Z [ RUN      ] IRParserTest.Basic
2022-11-23T03:26:17.3418234Z [       OK ] IRParserTest.Basic (0 ms)
2022-11-23T03:26:17.3419008Z [ RUN      ] IRParserTest.NestedBlock
2022-11-23T03:26:17.3419875Z [       OK ] IRParserTest.NestedBlock (0 ms)
2022-11-23T03:26:17.3420367Z [ RUN      ] IRParserTest.If
2022-11-23T03:26:17.3421046Z [       OK ] IRParserTest.If (0 ms)
2022-11-23T03:26:17.3421695Z [ RUN      ] IRParserTest.If2
2022-11-23T03:26:17.3422173Z [       OK ] IRParserTest.If2 (0 ms)
2022-11-23T03:26:17.3422571Z [ RUN      ] IRParserTest.InferredTypeIsTensor
2022-11-23T03:26:17.3423042Z [       OK ] IRParserTest.InferredTypeIsTensor (0 ms)
2022-11-23T03:26:17.3423422Z [ RUN      ] IRParserTest.ValueReuse
2022-11-23T03:26:17.3424160Z [       OK ] IRParserTest.ValueReuse (0 ms)
2022-11-23T03:26:17.3425128Z [ RUN      ] IRParserTest.Attributes
2022-11-23T03:26:17.3425560Z [       OK ] IRParserTest.Attributes (0 ms)
2022-11-23T03:26:17.3426391Z [ RUN      ] IRParserTest.OptionalTypes
2022-11-23T03:26:17.3426846Z [       OK ] IRParserTest.OptionalTypes (0 ms)
2022-11-23T03:26:17.3427536Z [ RUN      ] IRParserTest.StarTensor
2022-11-23T03:26:17.3428249Z [       OK ] IRParserTest.StarTensor (0 ms)
2022-11-23T03:26:17.3428744Z [ RUN      ] IRParserTest.UnshapedTensor
2022-11-23T03:26:17.3429171Z [       OK ] IRParserTest.UnshapedTensor (0 ms)
2022-11-23T03:26:17.3429572Z [ RUN      ] IRParserTest.ShapedTensor
2022-11-23T03:26:17.3430310Z [       OK ] IRParserTest.ShapedTensor (0 ms)
2022-11-23T03:26:17.3430958Z [ RUN      ] IRParserTest.NestedContrainer
2022-11-23T03:26:17.3431655Z [       OK ] IRParserTest.NestedContrainer (0 ms)
2022-11-23T03:26:17.3432375Z [ RUN      ] IRParserTest.MalformedShapeAnnotation
2022-11-23T03:26:17.3432901Z [       OK ] IRParserTest.MalformedShapeAnnotation (0 ms)
2022-11-23T03:26:17.3433373Z [ RUN      ] IRParserTest.FileCheck
2022-11-23T03:26:17.3434126Z [       OK ] IRParserTest.FileCheck (0 ms)
2022-11-23T03:26:17.3434612Z [ RUN      ] IRParserTest.Strides
2022-11-23T03:26:17.3435134Z [       OK ] IRParserTest.Strides (0 ms)
2022-11-23T03:26:17.3435602Z [ RUN      ] IRParserTest.MalformedStrides
2022-11-23T03:26:17.3436038Z [       OK ] IRParserTest.MalformedStrides (0 ms)
2022-11-23T03:26:17.3436436Z [ RUN      ] IRParserTest.TensorShapes
2022-11-23T03:26:17.3436847Z [       OK ] IRParserTest.TensorShapes (0 ms)
2022-11-23T03:26:17.3437312Z [ RUN      ] IRParserTest.DeviceAndRequiresGradTensors
2022-11-23T03:26:17.3437812Z [       OK ] IRParserTest.DeviceAndRequiresGradTensors (0 ms)
2022-11-23T03:26:17.3438266Z [ RUN      ] IRParserTest.ListConstant
2022-11-23T03:26:17.3438684Z [       OK ] IRParserTest.ListConstant (0 ms)
2022-11-23T03:26:17.3439096Z [ RUN      ] IRParserTest.PartialStarTensor
2022-11-23T03:26:17.3439542Z [       OK ] IRParserTest.PartialStarTensor (0 ms)
2022-11-23T03:26:17.3439999Z [ RUN      ] IRParserTest.ComplexTensorAttributes
2022-11-23T03:26:17.3440487Z [       OK ] IRParserTest.ComplexTensorAttributes (0 ms)
2022-11-23T03:26:17.3440949Z [----------] 21 tests from IRParserTest (1 ms total)
2022-11-23T03:26:17.3441165Z 
2022-11-23T03:26:17.3441369Z [----------] 2 tests from JitTypeTest
2022-11-23T03:26:17.3441742Z [ RUN      ] JitTypeTest.IsComplete
2022-11-23T03:26:17.3442124Z [       OK ] JitTypeTest.IsComplete (0 ms)
2022-11-23T03:26:17.3442510Z [ RUN      ] JitTypeTest.UnifyTypes
2022-11-23T03:26:17.3442901Z [       OK ] JitTypeTest.UnifyTypes (0 ms)
2022-11-23T03:26:17.3443301Z [----------] 2 tests from JitTypeTest (0 ms total)
2022-11-23T03:26:17.3443528Z 
2022-11-23T03:26:17.3443810Z [----------] 42 tests from LiteInterpreterTest
2022-11-23T03:26:17.3444220Z [ RUN      ] LiteInterpreterTest.UpsampleNearest2d
2022-11-23T03:26:17.3460315Z [       OK ] LiteInterpreterTest.UpsampleNearest2d (2 ms)
2022-11-23T03:26:17.3460962Z [ RUN      ] LiteInterpreterTest.CheckAttrAccess
2022-11-23T03:26:17.3462757Z [       OK ] LiteInterpreterTest.CheckAttrAccess (0 ms)
2022-11-23T03:26:17.3463321Z [ RUN      ] LiteInterpreterTest.MethodInvocation
2022-11-23T03:26:17.3513368Z [       OK ] LiteInterpreterTest.MethodInvocation (4 ms)
2022-11-23T03:26:17.3514282Z [ RUN      ] LiteInterpreterTest.Conv
2022-11-23T03:26:17.3566201Z [       OK ] LiteInterpreterTest.Conv (5 ms)
2022-11-23T03:26:17.3566869Z [ RUN      ] LiteInterpreterTest.Inline
2022-11-23T03:26:17.3583621Z [       OK ] LiteInterpreterTest.Inline (1 ms)
2022-11-23T03:26:17.3584775Z [ RUN      ] LiteInterpreterTest.Tuple
2022-11-23T03:26:17.3595300Z [       OK ] LiteInterpreterTest.Tuple (1 ms)
2022-11-23T03:26:17.3596177Z [ RUN      ] LiteInterpreterTest.AtenFormat
2022-11-23T03:26:17.3606105Z [       OK ] LiteInterpreterTest.AtenFormat (1 ms)
2022-11-23T03:26:17.3607013Z [ RUN      ] LiteInterpreterTest.PrimDevice
2022-11-23T03:26:17.3613096Z [       OK ] LiteInterpreterTest.PrimDevice (0 ms)
2022-11-23T03:26:17.3613963Z [ RUN      ] LiteInterpreterTest.Dict
2022-11-23T03:26:17.3626078Z [       OK ] LiteInterpreterTest.Dict (1 ms)
2022-11-23T03:26:17.3626900Z [ RUN      ] LiteInterpreterTest.List
2022-11-23T03:26:17.3642632Z [       OK ] LiteInterpreterTest.List (1 ms)
2022-11-23T03:26:17.3643641Z [ RUN      ] LiteInterpreterTest.PrimOverload
2022-11-23T03:26:17.3644140Z [       OK ] LiteInterpreterTest.PrimOverload (0 ms)
2022-11-23T03:26:17.3644580Z [ RUN      ] LiteInterpreterTest.Prim
2022-11-23T03:26:17.3650090Z [       OK ] LiteInterpreterTest.Prim (0 ms)
2022-11-23T03:26:17.3651077Z [ RUN      ] LiteInterpreterTest.PrimScalar
2022-11-23T03:26:17.3657956Z [       OK ] LiteInterpreterTest.PrimScalar (0 ms)
2022-11-23T03:26:17.3658830Z [ RUN      ] LiteInterpreterTest.LoadOrigJit
2022-11-23T03:26:17.3731569Z [       OK ] LiteInterpreterTest.LoadOrigJit (7 ms)
2022-11-23T03:26:17.3732153Z [ RUN      ] LiteInterpreterTest.WrongMethodName
2022-11-23T03:26:17.3762893Z [       OK ] LiteInterpreterTest.WrongMethodName (3 ms)
2022-11-23T03:26:17.3763497Z [ RUN      ] LiteInterpreterTest.SetState
2022-11-23T03:26:17.3813116Z [       OK ] LiteInterpreterTest.SetState (4 ms)
2022-11-23T03:26:17.3813706Z [ RUN      ] LiteInterpreterTest.BuiltinClass
2022-11-23T03:26:17.3826594Z [       OK ] LiteInterpreterTest.BuiltinClass (1 ms)
2022-11-23T03:26:17.3827539Z [ RUN      ] LiteInterpreterTest.BuiltinFunction
2022-11-23T03:26:17.3832405Z [       OK ] LiteInterpreterTest.BuiltinFunction (0 ms)
2022-11-23T03:26:17.3833546Z [ RUN      ] LiteInterpreterTest.GetRuntimeByteCodeVersion
2022-11-23T03:26:17.3834180Z [       OK ] LiteInterpreterTest.GetRuntimeByteCodeVersion (0 ms)
2022-11-23T03:26:17.3834749Z [ RUN      ] LiteInterpreterTest.GetRuntimeOperatorsVersion
2022-11-23T03:26:17.3835308Z [       OK ] LiteInterpreterTest.GetRuntimeOperatorsVersion (0 ms)
2022-11-23T03:26:17.3835857Z [ RUN      ] LiteInterpreterTest.GetByteCodeVersion
2022-11-23T03:26:17.3836361Z [       OK ] LiteInterpreterTest.GetByteCodeVersion (0 ms)
2022-11-23T03:26:17.3836844Z [ RUN      ] LiteInterpreterTest.GetContainTypes
2022-11-23T03:26:17.3838797Z [       OK ] LiteInterpreterTest.GetContainTypes (0 ms)
2022-11-23T03:26:17.3839344Z [ RUN      ] LiteInterpreterTest.BackPortByteCodeModelAllVersions
2022-11-23T03:26:17.5143635Z [       OK ] LiteInterpreterTest.BackPortByteCodeModelAllVersions (130 ms)
2022-11-23T03:26:17.5144294Z [ RUN      ] LiteInterpreterTest.GetRuntimeOpsAndInfo
2022-11-23T03:26:17.5259158Z [       OK ] LiteInterpreterTest.GetRuntimeOpsAndInfo (11 ms)
2022-11-23T03:26:17.5259764Z [ RUN      ] LiteInterpreterTest.isCompatibleSuccess
2022-11-23T03:26:17.5379049Z [       OK ] LiteInterpreterTest.isCompatibleSuccess (11 ms)
2022-11-23T03:26:17.5379618Z [ RUN      ] LiteInterpreterTest.isCompatibleFail
2022-11-23T03:26:17.5623770Z [       OK ] LiteInterpreterTest.isCompatibleFail (24 ms)
2022-11-23T03:26:17.5624299Z [ RUN      ] LiteInterpreterTest.Eval
2022-11-23T03:26:17.5643518Z [       OK ] LiteInterpreterTest.Eval (2 ms)
2022-11-23T03:26:17.5643935Z [ RUN      ] LiteInterpreterTest.FindWrongMethodName
2022-11-23T03:26:17.5650111Z [       OK ] LiteInterpreterTest.FindWrongMethodName (0 ms)
2022-11-23T03:26:17.5650639Z [ RUN      ] LiteInterpreterTest.FindAndRunMethod
2022-11-23T03:26:17.5664758Z [       OK ] LiteInterpreterTest.FindAndRunMethod (1 ms)
2022-11-23T03:26:17.5665263Z [ RUN      ] LiteInterpreterTest.RunMethodVariadic
2022-11-23T03:26:17.5677613Z [       OK ] LiteInterpreterTest.RunMethodVariadic (1 ms)
2022-11-23T03:26:17.5678062Z [ RUN      ] LiteInterpreterTest.DuplicateSetState
2022-11-23T03:26:17.5698102Z [       OK ] LiteInterpreterTest.DuplicateSetState (1 ms)
2022-11-23T03:26:17.5698590Z [ RUN      ] LiteInterpreterTest.ExtraFiles
2022-11-23T03:26:17.5705937Z [       OK ] LiteInterpreterTest.ExtraFiles (0 ms)
2022-11-23T03:26:17.5706400Z [ RUN      ] LiteInterpreterTest.OpNameExportFetchRootOperators
2022-11-23T03:26:17.5722424Z [       OK ] LiteInterpreterTest.OpNameExportFetchRootOperators (1 ms)
2022-11-23T03:26:17.5722916Z [ RUN      ] LiteInterpreterTest.DefaultArgsConv
2022-11-23T03:26:17.5751224Z [       OK ] LiteInterpreterTest.DefaultArgsConv (2 ms)
2022-11-23T03:26:17.5751664Z [ RUN      ] LiteInterpreterTest.DefaultArgsPinv
2022-11-23T03:26:17.5832464Z [       OK ] LiteInterpreterTest.DefaultArgsPinv (8 ms)
2022-11-23T03:26:17.5833329Z [ RUN      ] LiteInterpreterTest.DefaultArgsTensorinvSpecifyDefault
2022-11-23T03:26:17.5852254Z [       OK ] LiteInterpreterTest.DefaultArgsTensorinvSpecifyDefault (1 ms)
2022-11-23T03:26:17.5852801Z [ RUN      ] LiteInterpreterTest.DefaultArgsPinvWithOutArg
2022-11-23T03:26:17.5885828Z [       OK ] LiteInterpreterTest.DefaultArgsPinvWithOutArg (3 ms)
2022-11-23T03:26:17.5886396Z [ RUN      ] LiteInterpreterTest.DefaultArgsWithOutArg
2022-11-23T03:26:17.5897850Z [       OK ] LiteInterpreterTest.DefaultArgsWithOutArg (1 ms)
2022-11-23T03:26:17.5898411Z [ RUN      ] LiteInterpreterTest.TestExceptionStackWithTwoLevelModuleHierarchy
2022-11-23T03:26:17.6026363Z [       OK ] LiteInterpreterTest.TestExceptionStackWithTwoLevelModuleHierarchy (12 ms)
2022-11-23T03:26:17.6026977Z [ RUN      ] LiteInterpreterTest.OperatorCacheDifferentiatesDefaultArgs
2022-11-23T03:26:17.6089300Z [       OK ] LiteInterpreterTest.OperatorCacheDifferentiatesDefaultArgs (6 ms)
2022-11-23T03:26:17.6090018Z [ RUN      ] LiteInterpreterTest.OperatorSize1
2022-11-23T03:26:17.6095667Z [       OK ] LiteInterpreterTest.OperatorSize1 (0 ms)
2022-11-23T03:26:17.6096568Z [ RUN      ] LiteInterpreterTest.OperatorTest2
2022-11-23T03:26:17.6127271Z [       OK ] LiteInterpreterTest.OperatorTest2 (2 ms)
2022-11-23T03:26:17.6128519Z [----------] 42 tests from LiteInterpreterTest (269 ms total)
2022-11-23T03:26:17.6128924Z 
2022-11-23T03:26:17.6129167Z [----------] 3 tests from RunTimeTest
2022-11-23T03:26:17.6129576Z [ RUN      ] RunTimeTest.ParseBytecode
2022-11-23T03:26:17.6129996Z [       OK ] RunTimeTest.ParseBytecode (0 ms)
2022-11-23T03:26:17.6130403Z [ RUN      ] RunTimeTest.ParseOperator
2022-11-23T03:26:17.6130796Z [       OK ] RunTimeTest.ParseOperator (0 ms)
2022-11-23T03:26:17.6131188Z [ RUN      ] RunTimeTest.RuntimeCall
2022-11-23T03:26:17.6131599Z [       OK ] RunTimeTest.RuntimeCall (0 ms)
2022-11-23T03:26:17.6132009Z [----------] 3 tests from RunTimeTest (0 ms total)
2022-11-23T03:26:17.6132223Z 
2022-11-23T03:26:17.6132488Z [----------] 11 tests from LiteInterpreterUpgraderTest
2022-11-23T03:26:17.6132967Z [ RUN      ] LiteInterpreterUpgraderTest.DivTensorV2
2022-11-23T03:26:17.6133484Z [       OK ] LiteInterpreterUpgraderTest.DivTensorV2 (0 ms)
2022-11-23T03:26:17.6133981Z [ RUN      ] LiteInterpreterUpgraderTest.DivTensorOutV2
2022-11-23T03:26:17.6134518Z [       OK ] LiteInterpreterUpgraderTest.DivTensorOutV2 (0 ms)
2022-11-23T03:26:17.6135568Z [ RUN      ] LiteInterpreterUpgraderTest.DivTensorInplaceV2
2022-11-23T03:26:17.6137185Z [       OK ] LiteInterpreterUpgraderTest.DivTensorInplaceV2 (0 ms)
2022-11-23T03:26:17.6137937Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarFloatV2
2022-11-23T03:26:17.6140327Z [       OK ] LiteInterpreterUpgraderTest.DivScalarFloatV2 (0 ms)
2022-11-23T03:26:17.6141070Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarReciprocalFloatV2
2022-11-23T03:26:17.6142208Z expect output:  0.5000
2022-11-23T03:26:17.6142723Z [ CPUFloatType{1} ]actual output:  0.5000
2022-11-23T03:26:17.6143417Z [ CPUFloatType{1} ][       OK ] LiteInterpreterUpgraderTest.DivScalarReciprocalFloatV2 (0 ms)
2022-11-23T03:26:17.6144053Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarReciprocalIntV2
2022-11-23T03:26:17.6145357Z [       OK ] LiteInterpreterUpgraderTest.DivScalarReciprocalIntV2 (0 ms)
2022-11-23T03:26:17.6145950Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarScalarV2
2022-11-23T03:26:17.6147799Z [       OK ] LiteInterpreterUpgraderTest.DivScalarScalarV2 (0 ms)
2022-11-23T03:26:17.6148344Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarIntV2
2022-11-23T03:26:17.6149545Z [       OK ] LiteInterpreterUpgraderTest.DivScalarIntV2 (0 ms)
2022-11-23T03:26:17.6150408Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarInplaceFloatV2
2022-11-23T03:26:17.6152582Z [       OK ] LiteInterpreterUpgraderTest.DivScalarInplaceFloatV2 (0 ms)
2022-11-23T03:26:17.6153368Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarInplaceIntV2
2022-11-23T03:26:17.6154529Z [       OK ] LiteInterpreterUpgraderTest.DivScalarInplaceIntV2 (0 ms)
2022-11-23T03:26:17.6155282Z [ RUN      ] LiteInterpreterUpgraderTest.Upgrader
2022-11-23T03:26:17.6155788Z [       OK ] LiteInterpreterUpgraderTest.Upgrader (0 ms)
2022-11-23T03:26:17.6156304Z [----------] 11 tests from LiteInterpreterUpgraderTest (2 ms total)
2022-11-23T03:26:17.6156554Z 
2022-11-23T03:26:17.6156808Z [----------] 29 tests from LiteInterpreterDirectTest
2022-11-23T03:26:17.6157292Z [ RUN      ] LiteInterpreterDirectTest.UpsampleNearest2d
2022-11-23T03:26:17.6174629Z [       OK ] LiteInterpreterDirectTest.UpsampleNearest2d (1 ms)
2022-11-23T03:26:17.6175211Z [ RUN      ] LiteInterpreterDirectTest.CheckAttrAccess
2022-11-23T03:26:17.6175745Z [       OK ] LiteInterpreterDirectTest.CheckAttrAccess (0 ms)
2022-11-23T03:26:17.6176672Z [ RUN      ] LiteInterpreterDirectTest.MethodInvocation
2022-11-23T03:26:17.6185291Z hello 
2022-11-23T03:26:17.6185513Z hello 3
2022-11-23T03:26:17.6198164Z hello 
2022-11-23T03:26:17.6198403Z hello 3
2022-11-23T03:26:17.6206823Z hello 
2022-11-23T03:26:17.6207057Z hello 3
2022-11-23T03:26:17.6208328Z [       OK ] LiteInterpreterDirectTest.MethodInvocation (3 ms)
2022-11-23T03:26:17.6208852Z [ RUN      ] LiteInterpreterDirectTest.Conv
2022-11-23T03:26:17.6239449Z [       OK ] LiteInterpreterDirectTest.Conv (2 ms)
2022-11-23T03:26:17.6239982Z [ RUN      ] LiteInterpreterDirectTest.Inline
2022-11-23T03:26:17.6249218Z [       OK ] LiteInterpreterDirectTest.Inline (1 ms)
2022-11-23T03:26:17.6249722Z [ RUN      ] LiteInterpreterDirectTest.Tuple
2022-11-23T03:26:17.6255577Z [       OK ] LiteInterpreterDirectTest.Tuple (0 ms)
2022-11-23T03:26:17.6256416Z [ RUN      ] LiteInterpreterDirectTest.Dict
2022-11-23T03:26:17.6262907Z [       OK ] LiteInterpreterDirectTest.Dict (0 ms)
2022-11-23T03:26:17.6263356Z [ RUN      ] LiteInterpreterDirectTest.Prim
2022-11-23T03:26:17.6268157Z [       OK ] LiteInterpreterDirectTest.Prim (0 ms)
2022-11-23T03:26:17.6268632Z [ RUN      ] LiteInterpreterDirectTest.PrimScalar
2022-11-23T03:26:17.6273476Z [       OK ] LiteInterpreterDirectTest.PrimScalar (0 ms)
2022-11-23T03:26:17.6274363Z [ RUN      ] LiteInterpreterDirectTest.WrongMethodName
2022-11-23T03:26:17.6299307Z [       OK ] LiteInterpreterDirectTest.WrongMethodName (2 ms)
2022-11-23T03:26:17.6299853Z [ RUN      ] LiteInterpreterDirectTest.SetState
2022-11-23T03:26:17.6334597Z [       OK ] LiteInterpreterDirectTest.SetState (3 ms)
2022-11-23T03:26:17.6335207Z [ RUN      ] LiteInterpreterDirectTest.BuiltinFunction
2022-11-23T03:26:17.6336620Z [       OK ] LiteInterpreterDirectTest.BuiltinFunction (0 ms)
2022-11-23T03:26:17.6337214Z [ RUN      ] LiteInterpreterDirectTest.GetRuntimeByteCodeVersion
2022-11-23T03:26:17.6337816Z [       OK ] LiteInterpreterDirectTest.GetRuntimeByteCodeVersion (0 ms)
2022-11-23T03:26:17.6338417Z [ RUN      ] LiteInterpreterDirectTest.GetRuntimeOperatorsVersion
2022-11-23T03:26:17.6339029Z [       OK ] LiteInterpreterDirectTest.GetRuntimeOperatorsVersion (0 ms)
2022-11-23T03:26:17.6339602Z [ RUN      ] LiteInterpreterDirectTest.GetByteCodeVersion
2022-11-23T03:26:17.6340134Z [       OK ] LiteInterpreterDirectTest.GetByteCodeVersion (0 ms)
2022-11-23T03:26:17.6340680Z [ RUN      ] LiteInterpreterDirectTest.GetRuntimeOpsAndInfo
2022-11-23T03:26:17.6453860Z [       OK ] LiteInterpreterDirectTest.GetRuntimeOpsAndInfo (11 ms)
2022-11-23T03:26:17.6454741Z [ RUN      ] LiteInterpreterDirectTest.Eval
2022-11-23T03:26:17.6464497Z [       OK ] LiteInterpreterDirectTest.Eval (1 ms)
2022-11-23T03:26:17.6465036Z [ RUN      ] LiteInterpreterDirectTest.FindWrongMethodName
2022-11-23T03:26:17.6468465Z [       OK ] LiteInterpreterDirectTest.FindWrongMethodName (0 ms)
2022-11-23T03:26:17.6468995Z [ RUN      ] LiteInterpreterDirectTest.FindAndRunMethod
2022-11-23T03:26:17.6478352Z [       OK ] LiteInterpreterDirectTest.FindAndRunMethod (0 ms)
2022-11-23T03:26:17.6478906Z [ RUN      ] LiteInterpreterDirectTest.RunMethodVariadic
2022-11-23T03:26:17.6486558Z [       OK ] LiteInterpreterDirectTest.RunMethodVariadic (0 ms)
2022-11-23T03:26:17.6487091Z [ RUN      ] LiteInterpreterDirectTest.DuplicateSetState
2022-11-23T03:26:17.6495230Z [       OK ] LiteInterpreterDirectTest.DuplicateSetState (0 ms)
2022-11-23T03:26:17.6495876Z [ RUN      ] LiteInterpreterDirectTest.OpNameExportFetchRootOperators
2022-11-23T03:26:17.6504260Z [       OK ] LiteInterpreterDirectTest.OpNameExportFetchRootOperators (0 ms)
2022-11-23T03:26:17.6504839Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsConv
2022-11-23T03:26:17.6524247Z [       OK ] LiteInterpreterDirectTest.DefaultArgsConv (1 ms)
2022-11-23T03:26:17.6524878Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsPinv
2022-11-23T03:26:17.6584945Z [       OK ] LiteInterpreterDirectTest.DefaultArgsPinv (5 ms)
2022-11-23T03:26:17.6585617Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsTensorinvSpecifyDefault
2022-11-23T03:26:17.6595427Z [       OK ] LiteInterpreterDirectTest.DefaultArgsTensorinvSpecifyDefault (1 ms)
2022-11-23T03:26:17.6596095Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsPinvWithOutArg
2022-11-23T03:26:17.6628025Z [       OK ] LiteInterpreterDirectTest.DefaultArgsPinvWithOutArg (3 ms)
2022-11-23T03:26:17.6628696Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsWithOutArg
2022-11-23T03:26:17.6634719Z [       OK ] LiteInterpreterDirectTest.DefaultArgsWithOutArg (0 ms)
2022-11-23T03:26:17.6635479Z [ RUN      ] LiteInterpreterDirectTest.TestExceptionStackWithTwoLevelModuleHierarchy
2022-11-23T03:26:17.6754467Z [       OK ] LiteInterpreterDirectTest.TestExceptionStackWithTwoLevelModuleHierarchy (11 ms)
2022-11-23T03:26:17.6755248Z [ RUN      ] LiteInterpreterDirectTest.OperatorCacheDifferentiatesDefaultArgs
2022-11-23T03:26:17.6791950Z [       OK ] LiteInterpreterDirectTest.OperatorCacheDifferentiatesDefaultArgs (3 ms)
2022-11-23T03:26:17.6793084Z [----------] 29 tests from LiteInterpreterDirectTest (63 ms total)
2022-11-23T03:26:17.6793337Z 
2022-11-23T03:26:17.6793557Z [----------] 7 tests from LiteTrainerTest
2022-11-23T03:26:17.6793933Z [ RUN      ] LiteTrainerTest.Params
2022-11-23T03:26:17.6940419Z [       OK ] LiteTrainerTest.Params (14 ms)
2022-11-23T03:26:17.6940856Z [ RUN      ] LiteTrainerTest.SGD
2022-11-23T03:26:17.7092451Z [       OK ] LiteTrainerTest.SGD (14 ms)
2022-11-23T03:26:17.7093270Z [ RUN      ] LiteTrainerTest.SequentialSampler
2022-11-23T03:26:17.7093734Z [       OK ] LiteTrainerTest.SequentialSampler (0 ms)
2022-11-23T03:26:17.7094307Z [ RUN      ] LiteTrainerTest.RandomSamplerReturnsIndicesInCorrectRange
2022-11-23T03:26:17.7094963Z [       OK ] LiteTrainerTest.RandomSamplerReturnsIndicesInCorrectRange (0 ms)
2022-11-23T03:26:17.7095621Z [ RUN      ] LiteTrainerTest.RandomSamplerReturnsLessValuesForLastBatch
2022-11-23T03:26:17.7096743Z [       OK ] LiteTrainerTest.RandomSamplerReturnsLessValuesForLastBatch (0 ms)
2022-11-23T03:26:17.7097340Z [ RUN      ] LiteTrainerTest.RandomSamplerResetsWell
2022-11-23T03:26:17.7097848Z [       OK ] LiteTrainerTest.RandomSamplerResetsWell (0 ms)
2022-11-23T03:26:17.7098713Z [ RUN      ] LiteTrainerTest.RandomSamplerResetsWithNewSizeWell
2022-11-23T03:26:17.7099336Z [       OK ] LiteTrainerTest.RandomSamplerResetsWithNewSizeWell (0 ms)
2022-11-23T03:26:17.7099871Z [----------] 7 tests from LiteTrainerTest (30 ms total)
2022-11-23T03:26:17.7100093Z 
2022-11-23T03:26:17.7100286Z [----------] 6 tests from MobileTest
2022-11-23T03:26:17.7100701Z [ RUN      ] MobileTest.SaveLoadParametersEmpty
2022-11-23T03:26:17.7105707Z [       OK ] MobileTest.SaveLoadParametersEmpty (1 ms)
2022-11-23T03:26:17.7106264Z [ RUN      ] MobileTest.SaveParametersDefaultsToZip
2022-11-23T03:26:17.7107007Z [       OK ] MobileTest.SaveParametersDefaultsToZip (0 ms)
2022-11-23T03:26:17.7107526Z [ RUN      ] MobileTest.SaveParametersCanUseFlatbuffer
2022-11-23T03:26:17.7108044Z [       OK ] MobileTest.SaveParametersCanUseFlatbuffer (0 ms)
2022-11-23T03:26:17.7108568Z [ RUN      ] MobileTest.SaveLoadParametersUsingFlatbuffers
2022-11-23T03:26:17.7109341Z [       OK ] MobileTest.SaveLoadParametersUsingFlatbuffers (0 ms)
2022-11-23T03:26:17.7109925Z [ RUN      ] MobileTest.LoadParametersUnexpectedFormatShouldThrow
2022-11-23T03:26:17.7139761Z [       OK ] MobileTest.LoadParametersUnexpectedFormatShouldThrow (2 ms)
2022-11-23T03:26:17.7140393Z [ RUN      ] MobileTest.LoadParametersEmptyDataShouldThrow
2022-11-23T03:26:17.7165715Z [       OK ] MobileTest.LoadParametersEmptyDataShouldThrow (2 ms)
2022-11-23T03:26:17.7166680Z [----------] 6 tests from MobileTest (7 ms total)
2022-11-23T03:26:17.7167093Z 
2022-11-23T03:26:17.7167440Z [----------] 1 test from MemoryDAGTest
2022-11-23T03:26:17.7168079Z [ RUN      ] MemoryDAGTest.Basic
2022-11-23T03:26:17.7168979Z [       OK ] MemoryDAGTest.Basic (0 ms)
2022-11-23T03:26:17.7169739Z [----------] 1 test from MemoryDAGTest (0 ms total)
2022-11-23T03:26:17.7170114Z 
2022-11-23T03:26:17.7170553Z [----------] 1 test from InternedStringsTest
2022-11-23T03:26:17.7171285Z [ RUN      ] InternedStringsTest.Basic
2022-11-23T03:26:17.7171983Z [       OK ] InternedStringsTest.Basic (0 ms)
2022-11-23T03:26:17.7172819Z [----------] 1 test from InternedStringsTest (0 ms total)
2022-11-23T03:26:17.7173296Z 
2022-11-23T03:26:17.7173635Z [----------] 1 test from FromQualStringTest
2022-11-23T03:26:17.7174331Z [ RUN      ] FromQualStringTest.Basic
2022-11-23T03:26:17.7175010Z [       OK ] FromQualStringTest.Basic (0 ms)
2022-11-23T03:26:17.7176839Z [----------] 1 test from FromQualStringTest (0 ms total)
2022-11-23T03:26:17.7177258Z 
2022-11-23T03:26:17.7177641Z [----------] 1 test from THNNConvTest
2022-11-23T03:26:17.7178302Z [ RUN      ] THNNConvTest.Basic
2022-11-23T03:26:17.7199380Z [       OK ] THNNConvTest.Basic (3 ms)
2022-11-23T03:26:17.7200125Z [----------] 1 test from THNNConvTest (3 ms total)
2022-11-23T03:26:17.7200354Z 
2022-11-23T03:26:17.7200610Z [----------] 1 test from ATenNativeBatchNormTest
2022-11-23T03:26:17.7201052Z [ RUN      ] ATenNativeBatchNormTest.Basic
2022-11-23T03:26:17.7222478Z [       OK ] ATenNativeBatchNormTest.Basic (2 ms)
2022-11-23T03:26:17.7223395Z [----------] 1 test from ATenNativeBatchNormTest (2 ms total)
2022-11-23T03:26:17.7223645Z 
2022-11-23T03:26:17.7223872Z [----------] 2 tests from CustomFusionTest
2022-11-23T03:26:17.7224255Z [ RUN      ] CustomFusionTest.Basic
2022-11-23T03:26:17.7224655Z [       OK ] CustomFusionTest.Basic (0 ms)
2022-11-23T03:26:17.7225058Z [ RUN      ] CustomFusionTest.NestedBlocks
2022-11-23T03:26:17.7227485Z [       OK ] CustomFusionTest.NestedBlocks (0 ms)
2022-11-23T03:26:17.7228339Z [----------] 2 tests from CustomFusionTest (0 ms total)
2022-11-23T03:26:17.7228552Z 
2022-11-23T03:26:17.7229121Z [----------] 1 test from ControlFlowTest
2022-11-23T03:26:17.7229526Z [ RUN      ] ControlFlowTest.Basic
2022-11-23T03:26:17.7240914Z [       OK ] ControlFlowTest.Basic (1 ms)
2022-11-23T03:26:17.7241658Z [----------] 1 test from ControlFlowTest (1 ms total)
2022-11-23T03:26:17.7241895Z 
2022-11-23T03:26:17.7242113Z [----------] 1 test from ProtoTest
2022-11-23T03:26:17.7242769Z [ RUN      ] ProtoTest.Basic
2022-11-23T03:26:17.7243536Z [       OK ] ProtoTest.Basic (0 ms)
2022-11-23T03:26:17.7244411Z [----------] 1 test from ProtoTest (0 ms total)
2022-11-23T03:26:17.7244831Z 
2022-11-23T03:26:17.7245321Z [----------] 9 tests from SchemaParserTest
2022-11-23T03:26:17.7246124Z [ RUN      ] SchemaParserTest.NestedArrays
2022-11-23T03:26:17.7247048Z [       OK ] SchemaParserTest.NestedArrays (0 ms)
2022-11-23T03:26:17.7247735Z [ RUN      ] SchemaParserTest.OutVariant
2022-11-23T03:26:17.7248176Z [       OK ] SchemaParserTest.OutVariant (0 ms)
2022-11-23T03:26:17.7248581Z [ RUN      ] SchemaParserTest.NamedReturns
2022-11-23T03:26:17.7249025Z [       OK ] SchemaParserTest.NamedReturns (0 ms)
2022-11-23T03:26:17.7249433Z [ RUN      ] SchemaParserTest.Futures
2022-11-23T03:26:17.7249834Z [       OK ] SchemaParserTest.Futures (0 ms)
2022-11-23T03:26:17.7250255Z [ RUN      ] SchemaParserTest.AnnotatedAliasSets
2022-11-23T03:26:17.7250725Z [       OK ] SchemaParserTest.AnnotatedAliasSets (0 ms)
2022-11-23T03:26:17.7251246Z [ RUN      ] SchemaParserTest.TensorListAnnotatedAliasSets
2022-11-23T03:26:17.7251936Z [       OK ] SchemaParserTest.TensorListAnnotatedAliasSets (0 ms)
2022-11-23T03:26:17.7253153Z [ RUN      ] SchemaParserTest.AnnotatedAliasWithoutBeforeSet
2022-11-23T03:26:17.7253895Z [       OK ] SchemaParserTest.AnnotatedAliasWithoutBeforeSet (0 ms)
2022-11-23T03:26:17.7254405Z [ RUN      ] SchemaParserTest.BeforeAfterSets
2022-11-23T03:26:17.7254842Z [       OK ] SchemaParserTest.BeforeAfterSets (0 ms)
2022-11-23T03:26:17.7255291Z [ RUN      ] SchemaParserTest.BeforeAfterSets2
2022-11-23T03:26:17.7255749Z [       OK ] SchemaParserTest.BeforeAfterSets2 (0 ms)
2022-11-23T03:26:17.7256636Z [----------] 9 tests from SchemaParserTest (0 ms total)
2022-11-23T03:26:17.7256864Z 
2022-11-23T03:26:17.7257099Z [----------] 2 tests from TopologicalIndexTest
2022-11-23T03:26:17.7257505Z [ RUN      ] TopologicalIndexTest.Basic
2022-11-23T03:26:17.7258225Z [       OK ] TopologicalIndexTest.Basic (0 ms)
2022-11-23T03:26:17.7258644Z [ RUN      ] TopologicalIndexTest.Reindex
2022-11-23T03:26:17.7259071Z [       OK ] TopologicalIndexTest.Reindex (0 ms)
2022-11-23T03:26:17.7259532Z [----------] 2 tests from TopologicalIndexTest (0 ms total)
2022-11-23T03:26:17.7259746Z 
2022-11-23T03:26:17.7259975Z [----------] 7 tests from RecordFunctionTest
2022-11-23T03:26:17.7260440Z [ RUN      ] RecordFunctionTest.TracedTestInputsOutputs
2022-11-23T03:26:17.7266420Z [       OK ] RecordFunctionTest.TracedTestInputsOutputs (1 ms)
2022-11-23T03:26:17.7267328Z [ RUN      ] RecordFunctionTest.SampledCallbacks
2022-11-23T03:26:17.7351662Z [       OK ] RecordFunctionTest.SampledCallbacks (8 ms)
2022-11-23T03:26:17.7352572Z [ RUN      ] RecordFunctionTest.RecordFunctionGuard
2022-11-23T03:26:17.7353452Z [       OK ] RecordFunctionTest.RecordFunctionGuard (0 ms)
2022-11-23T03:26:17.7354421Z [ RUN      ] RecordFunctionTest.Callbacks
2022-11-23T03:26:17.7355131Z [       OK ] RecordFunctionTest.Callbacks (0 ms)
2022-11-23T03:26:17.7355555Z [ RUN      ] RecordFunctionTest.ShouldRun
2022-11-23T03:26:17.7355993Z [       OK ] RecordFunctionTest.ShouldRun (0 ms)
2022-11-23T03:26:17.7356696Z [ RUN      ] RecordFunctionTest.Basic
2022-11-23T03:26:17.7357667Z [       OK ] RecordFunctionTest.Basic (0 ms)
2022-11-23T03:26:17.7358634Z [ RUN      ] RecordFunctionTest.OperatorNameOverload
2022-11-23T03:26:17.7359686Z [       OK ] RecordFunctionTest.OperatorNameOverload (0 ms)
2022-11-23T03:26:17.7360212Z [----------] 7 tests from RecordFunctionTest (10 ms total)
2022-11-23T03:26:17.7360441Z 
2022-11-23T03:26:17.7360687Z [----------] 1 test from ThreadLocalDebugInfoTest
2022-11-23T03:26:17.7361122Z [ RUN      ] ThreadLocalDebugInfoTest.Basic
2022-11-23T03:26:17.7362949Z [       OK ] ThreadLocalDebugInfoTest.Basic (0 ms)
2022-11-23T03:26:17.7364025Z [----------] 1 test from ThreadLocalDebugInfoTest (0 ms total)
2022-11-23T03:26:17.7364453Z 
2022-11-23T03:26:17.7364690Z [----------] 1 test from TestSymIntArrayRef
2022-11-23T03:26:17.7365279Z [ RUN      ] TestSymIntArrayRef.BasicConversion
2022-11-23T03:26:17.7366261Z [       OK ] TestSymIntArrayRef.BasicConversion (0 ms)
2022-11-23T03:26:17.7367223Z [----------] 1 test from TestSymIntArrayRef (0 ms total)
2022-11-23T03:26:17.7367455Z 
2022-11-23T03:26:17.7367733Z [----------] 4 tests from TestSymInt
2022-11-23T03:26:17.7368469Z [ RUN      ] TestSymInt.NarrowCopyWithSymbolicInt
2022-11-23T03:26:17.7369189Z [       OK ] TestSymInt.NarrowCopyWithSymbolicInt (0 ms)
2022-11-23T03:26:17.7369615Z [ RUN      ] TestSymInt.NarrowCopy
2022-11-23T03:26:17.7369986Z [       OK ] TestSymInt.NarrowCopy (0 ms)
2022-11-23T03:26:17.7370391Z [ RUN      ] TestSymInt.AddSymbolicInt
2022-11-23T03:26:17.7370795Z [       OK ] TestSymInt.AddSymbolicInt (0 ms)
2022-11-23T03:26:17.7371245Z [ RUN      ] TestSymInt.TestSymIntToSymNodeDispatch
2022-11-23T03:26:17.7371741Z [       OK ] TestSymInt.TestSymIntToSymNodeDispatch (0 ms)
2022-11-23T03:26:17.7372209Z [----------] 4 tests from TestSymInt (0 ms total)
2022-11-23T03:26:17.7372417Z 
2022-11-23T03:26:17.7372641Z [----------] 1 test from FallbackGraphsTest
2022-11-23T03:26:17.7373013Z [ RUN      ] FallbackGraphsTest.Basic
2022-11-23T03:26:17.7387183Z [       OK ] FallbackGraphsTest.Basic (1 ms)
2022-11-23T03:26:17.7387968Z [----------] 1 test from FallbackGraphsTest (1 ms total)
2022-11-23T03:26:17.7388381Z 
2022-11-23T03:26:17.7388669Z [----------] 1 test from NoneSchemaMatchTest
2022-11-23T03:26:17.7389069Z [ RUN      ] NoneSchemaMatchTest.Basic
2022-11-23T03:26:17.7389798Z [       OK ] NoneSchemaMatchTest.Basic (0 ms)
2022-11-23T03:26:17.7390246Z [----------] 1 test from NoneSchemaMatchTest (0 ms total)
2022-11-23T03:26:17.7390471Z 
2022-11-23T03:26:17.7390679Z [----------] 1 test from PassManagementTest
2022-11-23T03:26:17.7391074Z [ RUN      ] PassManagementTest.Basic
2022-11-23T03:26:17.7391489Z [       OK ] PassManagementTest.Basic (0 ms)
2022-11-23T03:26:17.7391937Z [----------] 1 test from PassManagementTest (0 ms total)
2022-11-23T03:26:17.7392141Z 
2022-11-23T03:26:17.7392357Z [----------] 5 tests from LoopPeelerTest
2022-11-23T03:26:17.7392789Z [ RUN      ] LoopPeelerTest.NoInductionVariableUse
2022-11-23T03:26:17.7396506Z [       OK ] LoopPeelerTest.NoInductionVariableUse (0 ms)
2022-11-23T03:26:17.7397012Z [ RUN      ] LoopPeelerTest.YesInductionVariableUse
2022-11-23T03:26:17.7401681Z [       OK ] LoopPeelerTest.YesInductionVariableUse (0 ms)
2022-11-23T03:26:17.7402229Z [ RUN      ] LoopPeelerTest.LoopWithTerminationCondition
2022-11-23T03:26:17.7409196Z [       OK ] LoopPeelerTest.LoopWithTerminationCondition (0 ms)
2022-11-23T03:26:17.7409694Z [ RUN      ] LoopPeelerTest.SimpleNestedLoops
2022-11-23T03:26:17.7418896Z [       OK ] LoopPeelerTest.SimpleNestedLoops (0 ms)
2022-11-23T03:26:17.7419812Z [ RUN      ] LoopPeelerTest.SimpleNestedLoops2
2022-11-23T03:26:17.7435114Z [       OK ] LoopPeelerTest.SimpleNestedLoops2 (1 ms)
2022-11-23T03:26:17.7435660Z [----------] 5 tests from LoopPeelerTest (4 ms total)
2022-11-23T03:26:17.7435882Z 
2022-11-23T03:26:17.7436084Z [----------] 1 test from JitTracing
2022-11-23T03:26:17.7436431Z [ RUN      ] JitTracing.Basic
2022-11-23T03:26:17.7632380Z [       OK ] JitTracing.Basic (19 ms)
2022-11-23T03:26:17.7632795Z [----------] 1 test from JitTracing (19 ms total)
2022-11-23T03:26:17.7633029Z 
2022-11-23T03:26:17.7633374Z [----------] 1 test from InsertAndEliminateRedundantGuardsTest
2022-11-23T03:26:17.7633925Z [ RUN      ] InsertAndEliminateRedundantGuardsTest.Basic
2022-11-23T03:26:17.7640359Z [       OK ] InsertAndEliminateRedundantGuardsTest.Basic (0 ms)
2022-11-23T03:26:17.7641005Z [----------] 1 test from InsertAndEliminateRedundantGuardsTest (1 ms total)
2022-11-23T03:26:17.7641203Z 
2022-11-23T03:26:17.7641430Z [----------] 1 test from InsertBailOutsTest
2022-11-23T03:26:17.7641823Z [ RUN      ] InsertBailOutsTest.Basic
2022-11-23T03:26:17.7655942Z [       OK ] InsertBailOutsTest.Basic (1 ms)
2022-11-23T03:26:17.7657083Z [----------] 1 test from InsertBailOutsTest (1 ms total)
2022-11-23T03:26:17.7657317Z 
2022-11-23T03:26:17.7657537Z [----------] 2 tests from ProfilerTest
2022-11-23T03:26:17.7657916Z [ RUN      ] ProfilerTest.Basic
2022-11-23T03:26:17.7801328Z [       OK ] ProfilerTest.Basic (14 ms)
2022-11-23T03:26:17.7801788Z [ RUN      ] ProfilerTest.OptionalProfiling
2022-11-23T03:26:17.7802783Z [       OK ] ProfilerTest.OptionalProfiling (0 ms)
2022-11-23T03:26:17.7803282Z [----------] 2 tests from ProfilerTest (14 ms total)
2022-11-23T03:26:17.7803517Z 
2022-11-23T03:26:17.7803736Z [----------] 2 tests from CallStackTest
2022-11-23T03:26:17.7804131Z [ RUN      ] CallStackTest.Basic
2022-11-23T03:26:17.7811731Z [       OK ] CallStackTest.Basic (0 ms)
2022-11-23T03:26:17.7812126Z [ RUN      ] CallStackTest.Caching
2022-11-23T03:26:17.7818183Z [       OK ] CallStackTest.Caching (0 ms)
2022-11-23T03:26:17.7818822Z [----------] 2 tests from CallStackTest (1 ms total)
2022-11-23T03:26:17.7819136Z 
2022-11-23T03:26:17.7819361Z [----------] 2 tests from InlinedCallStackTest
2022-11-23T03:26:17.7819804Z [ RUN      ] InlinedCallStackTest.BlockAnnotation
2022-11-23T03:26:17.7829813Z [       OK ] InlinedCallStackTest.BlockAnnotation (1 ms)
2022-11-23T03:26:17.7830782Z [ RUN      ] InlinedCallStackTest.SelfCallMethods
2022-11-23T03:26:17.7844785Z [       OK ] InlinedCallStackTest.SelfCallMethods (1 ms)
2022-11-23T03:26:17.7845611Z [----------] 2 tests from InlinedCallStackTest (2 ms total)
2022-11-23T03:26:17.7845847Z 
2022-11-23T03:26:17.7846105Z [----------] 1 test from AutogradSymbolsTest
2022-11-23T03:26:17.7846510Z [ RUN      ] AutogradSymbolsTest.Basic
2022-11-23T03:26:17.7846904Z [       OK ] AutogradSymbolsTest.Basic (0 ms)
2022-11-23T03:26:17.7847492Z [----------] 1 test from AutogradSymbolsTest (0 ms total)
2022-11-23T03:26:17.7847881Z 
2022-11-23T03:26:17.7848348Z [----------] 1 test from DefaultArgTypeHintingTest
2022-11-23T03:26:17.7848779Z [ RUN      ] DefaultArgTypeHintingTest.Basic
2022-11-23T03:26:17.7850173Z [       OK ] DefaultArgTypeHintingTest.Basic (0 ms)
2022-11-23T03:26:17.7850677Z [----------] 1 test from DefaultArgTypeHintingTest (0 ms total)
2022-11-23T03:26:17.7850933Z 
2022-11-23T03:26:17.7851143Z [----------] 5 tests from FuturesTest
2022-11-23T03:26:17.7851505Z [ RUN      ] FuturesTest.Basic
2022-11-23T03:26:17.7851852Z [       OK ] FuturesTest.Basic (0 ms)
2022-11-23T03:26:17.7852211Z [ RUN      ] FuturesTest.Error
2022-11-23T03:26:17.7866194Z [       OK ] FuturesTest.Error (1 ms)
2022-11-23T03:26:17.7867108Z [ RUN      ] FuturesTest.Then
2022-11-23T03:26:17.7867580Z [       OK ] FuturesTest.Then (0 ms)
2022-11-23T03:26:17.7867994Z [ RUN      ] FuturesTest.CollectAll
2022-11-23T03:26:17.7868403Z [       OK ] FuturesTest.CollectAll (0 ms)
2022-11-23T03:26:17.7869044Z [ RUN      ] FuturesTest.CollectAny
2022-11-23T03:26:17.7869690Z [       OK ] FuturesTest.CollectAny (0 ms)
2022-11-23T03:26:17.7870462Z [----------] 5 tests from FuturesTest (1 ms total)
2022-11-23T03:26:17.7870676Z 
2022-11-23T03:26:17.7870879Z [----------] 1 test from TLSFutureCallbacksTest
2022-11-23T03:26:17.7871539Z [ RUN      ] TLSFutureCallbacksTest.Basic
2022-11-23T03:26:17.7872206Z [       OK ] TLSFutureCallbacksTest.Basic (0 ms)
2022-11-23T03:26:17.7872562Z [----------] 1 test from TLSFutureCallbacksTest (0 ms total)
2022-11-23T03:26:17.7872843Z 
2022-11-23T03:26:17.7873433Z [----------] 1 test from ProfilerDisableInCallbackTest
2022-11-23T03:26:17.7874156Z [ RUN      ] ProfilerDisableInCallbackTest.Basic
2022-11-23T03:26:17.7875061Z [       OK ] ProfilerDisableInCallbackTest.Basic (0 ms)
2022-11-23T03:26:17.7875942Z [----------] 1 test from ProfilerDisableInCallbackTest (0 ms total)
2022-11-23T03:26:17.7876171Z 
2022-11-23T03:26:17.7876339Z [----------] 2 tests from RecordDebugHandles
2022-11-23T03:26:17.7876739Z [ RUN      ] RecordDebugHandles.Basic
2022-11-23T03:26:18.2004808Z STAGE:2022-11-23 03:26:18 12634:12634 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T03:26:18.2013116Z STAGE:2022-11-23 03:26:18 12634:12634 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T03:26:18.2013736Z STAGE:2022-11-23 03:26:18 12634:12634 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T03:26:18.2014279Z [       OK ] RecordDebugHandles.Basic (413 ms)
2022-11-23T03:26:18.2014725Z [ RUN      ] RecordDebugHandles.ScopedCallbacks
2022-11-23T03:26:18.2023568Z STAGE:2022-11-23 03:26:18 12634:12634 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T03:26:18.2038185Z STAGE:2022-11-23 03:26:18 12634:12634 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T03:26:18.2038834Z STAGE:2022-11-23 03:26:18 12634:12634 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T03:26:18.2048517Z STAGE:2022-11-23 03:26:18 12634:12634 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T03:26:18.2062465Z STAGE:2022-11-23 03:26:18 12634:12634 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T03:26:18.2063080Z STAGE:2022-11-23 03:26:18 12634:12634 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T03:26:18.2071737Z STAGE:2022-11-23 03:26:18 12634:12634 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T03:26:18.2090080Z STAGE:2022-11-23 03:26:18 12634:12634 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T03:26:18.2090807Z STAGE:2022-11-23 03:26:18 12634:12634 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T03:26:18.2091325Z [       OK ] RecordDebugHandles.ScopedCallbacks (7 ms)
2022-11-23T03:26:18.2091797Z [----------] 2 tests from RecordDebugHandles (421 ms total)
2022-11-23T03:26:18.2092029Z 
2022-11-23T03:26:18.2092248Z [----------] 1 test from IValueKWargsTest
2022-11-23T03:26:18.2092657Z [ RUN      ] IValueKWargsTest.Basic
2022-11-23T03:26:18.2101292Z [       OK ] IValueKWargsTest.Basic (0 ms)
2022-11-23T03:26:18.2102217Z [----------] 1 test from IValueKWargsTest (1 ms total)
2022-11-23T03:26:18.2102549Z 
2022-11-23T03:26:18.2102781Z [----------] 1 test from ComputeFlopsTest
2022-11-23T03:26:18.2103182Z [ RUN      ] ComputeFlopsTest.Basic
2022-11-23T03:26:18.2104224Z [W util.cpp:501] Warning: Failed to compute flops for op aten::conv2d because both input and weight must be size 4. (function computeFlops)
2022-11-23T03:26:18.2104866Z [W util.cpp:516] Warning: Failed to compute flops for op aten::conv2d because stride must be size 2 and cannot be 0. (function computeFlops)
2022-11-23T03:26:18.2105764Z [W util.cpp:472] Warning: Calculating flops for aten::conv2d requires groups, padding, stride, dilation, input_size, and weight_size in saved arguments. (function computeFlops)
2022-11-23T03:26:18.2106393Z [W util.cpp:545] Warning: Calculating flops for aten::mm requires mat1_size and mat2_size in saved arguments. (function computeFlops)
2022-11-23T03:26:18.2106909Z [       OK ] ComputeFlopsTest.Basic (0 ms)
2022-11-23T03:26:18.2107388Z [----------] 1 test from ComputeFlopsTest (0 ms total)
2022-11-23T03:26:18.2107632Z 
2022-11-23T03:26:18.2107838Z [----------] 1 test from TestConstant
2022-11-23T03:26:18.2108231Z [ RUN      ] TestConstant.TensorGrad
2022-11-23T03:26:18.2108586Z [       OK ] TestConstant.TensorGrad (0 ms)
2022-11-23T03:26:18.2108984Z [----------] 1 test from TestConstant (0 ms total)
2022-11-23T03:26:18.2109193Z 
2022-11-23T03:26:18.2109396Z [----------] 1 test from TestMutation
2022-11-23T03:26:18.2109733Z [ RUN      ] TestMutation.Basic
2022-11-23T03:26:18.2110102Z [       OK ] TestMutation.Basic (0 ms)
2022-11-23T03:26:18.2110507Z [----------] 1 test from TestMutation (0 ms total)
2022-11-23T03:26:18.2110715Z 
2022-11-23T03:26:18.2110983Z [----------] 1 test from TestInplaceToFunctionalActivation
2022-11-23T03:26:18.2111481Z [ RUN      ] TestInplaceToFunctionalActivation.Basic
2022-11-23T03:26:18.2111987Z [       OK ] TestInplaceToFunctionalActivation.Basic (0 ms)
2022-11-23T03:26:18.2112537Z [----------] 1 test from TestInplaceToFunctionalActivation (0 ms total)
2022-11-23T03:26:18.2112785Z 
2022-11-23T03:26:18.2113019Z [----------] 1 test from TestRegisterShapeOp
2022-11-23T03:26:18.2113423Z [ RUN      ] TestRegisterShapeOp.Basic
2022-11-23T03:26:18.3876689Z [       OK ] TestRegisterShapeOp.Basic (176 ms)
2022-11-23T03:26:18.3877505Z [----------] 1 test from TestRegisterShapeOp (176 ms total)
2022-11-23T03:26:18.3877751Z 
2022-11-23T03:26:18.3878058Z [----------] 1 test from TestFunctionalToInplaceActivation
2022-11-23T03:26:18.3878562Z [ RUN      ] TestFunctionalToInplaceActivation.Basic
2022-11-23T03:26:18.3879058Z [       OK ] TestFunctionalToInplaceActivation.Basic (0 ms)
2022-11-23T03:26:18.3880036Z [----------] 1 test from TestFunctionalToInplaceActivation (0 ms total)
2022-11-23T03:26:18.3880379Z 
2022-11-23T03:26:18.3880613Z [----------] 2 tests from TestFunctionExecutor
2022-11-23T03:26:18.3881067Z [ RUN      ] TestFunctionExecutor.SimpleExecutorTest
2022-11-23T03:26:18.3884242Z [       OK ] TestFunctionExecutor.SimpleExecutorTest (0 ms)
2022-11-23T03:26:18.3884770Z [ RUN      ] TestFunctionExecutor.RunDecompositionTest
2022-11-23T03:26:18.3915107Z [       OK ] TestFunctionExecutor.RunDecompositionTest (2 ms)
2022-11-23T03:26:18.3915684Z [----------] 2 tests from TestFunctionExecutor (3 ms total)
2022-11-23T03:26:18.3915906Z 
2022-11-23T03:26:18.3916146Z [----------] 1 test from TestShapeGraphLinting
2022-11-23T03:26:18.3916563Z [ RUN      ] TestShapeGraphLinting.Basic
2022-11-23T03:26:18.3928635Z [       OK ] TestShapeGraphLinting.Basic (1 ms)
2022-11-23T03:26:18.3929154Z [----------] 1 test from TestShapeGraphLinting (1 ms total)
2022-11-23T03:26:18.3929396Z 
2022-11-23T03:26:18.3929590Z [----------] 1 test from Composed
2022-11-23T03:26:18.3929949Z [ RUN      ] Composed.ComposedOp
2022-11-23T03:26:18.8247279Z [       OK ] Composed.ComposedOp (431 ms)
2022-11-23T03:26:18.8248148Z [----------] 1 test from Composed (431 ms total)
2022-11-23T03:26:18.8248391Z 
2022-11-23T03:26:18.8248630Z [----------] 1 test from ConstantPropagation
2022-11-23T03:26:18.8249107Z [ RUN      ] ConstantPropagation.CustomClassesCanBePropagated
2022-11-23T03:26:18.8252905Z [       OK ] ConstantPropagation.CustomClassesCanBePropagated (0 ms)
2022-11-23T03:26:18.8253837Z [----------] 1 test from ConstantPropagation (0 ms total)
2022-11-23T03:26:18.8254287Z 
2022-11-23T03:26:18.8254711Z [----------] 19 tests from MobileTypeParserTest
2022-11-23T03:26:18.8255138Z [ RUN      ] MobileTypeParserTest.Int
2022-11-23T03:26:18.8255547Z [       OK ] MobileTypeParserTest.Int (0 ms)
2022-11-23T03:26:18.8256415Z [ RUN      ] MobileTypeParserTest.NestedContainersAnnotationStr
2022-11-23T03:26:18.8257032Z [       OK ] MobileTypeParserTest.NestedContainersAnnotationStr (0 ms)
2022-11-23T03:26:18.8257551Z [ RUN      ] MobileTypeParserTest.TorchBindClass
2022-11-23T03:26:18.8258221Z [       OK ] MobileTypeParserTest.TorchBindClass (0 ms)
2022-11-23T03:26:18.8258714Z [ RUN      ] MobileTypeParserTest.ListOfTorchBindClass
2022-11-23T03:26:18.8259221Z [       OK ] MobileTypeParserTest.ListOfTorchBindClass (0 ms)
2022-11-23T03:26:18.8259817Z [ RUN      ] MobileTypeParserTest.NestedContainersAnnotationStrWithSpaces
2022-11-23T03:26:18.8260497Z [       OK ] MobileTypeParserTest.NestedContainersAnnotationStrWithSpaces (0 ms)
2022-11-23T03:26:18.8261046Z [ RUN      ] MobileTypeParserTest.NamedTuple
2022-11-23T03:26:18.8261490Z [       OK ] MobileTypeParserTest.NamedTuple (0 ms)
2022-11-23T03:26:18.8262026Z [ RUN      ] MobileTypeParserTest.DictNestedNamedTupleTypeList
2022-11-23T03:26:18.8262611Z [       OK ] MobileTypeParserTest.DictNestedNamedTupleTypeList (0 ms)
2022-11-23T03:26:18.8263210Z [ RUN      ] MobileTypeParserTest.NamedTupleNestedNamedTupleTypeList
2022-11-23T03:26:18.8263839Z [       OK ] MobileTypeParserTest.NamedTupleNestedNamedTupleTypeList (0 ms)
2022-11-23T03:26:18.8264432Z [ RUN      ] MobileTypeParserTest.NamedTupleNestedNamedTuple
2022-11-23T03:26:18.8264997Z [       OK ] MobileTypeParserTest.NamedTupleNestedNamedTuple (0 ms)
2022-11-23T03:26:18.8265464Z [ RUN      ] MobileTypeParserTest.Empty
2022-11-23T03:26:18.8299063Z [       OK ] MobileTypeParserTest.Empty (3 ms)
2022-11-23T03:26:18.8299571Z [ RUN      ] MobileTypeParserTest.TypoRaises
2022-11-23T03:26:18.8344267Z [       OK ] MobileTypeParserTest.TypoRaises (4 ms)
2022-11-23T03:26:18.8344864Z [ RUN      ] MobileTypeParserTest.MismatchBracketRaises
2022-11-23T03:26:18.8389173Z [       OK ] MobileTypeParserTest.MismatchBracketRaises (4 ms)
2022-11-23T03:26:18.8389762Z [ RUN      ] MobileTypeParserTest.MismatchBracketRaises2
2022-11-23T03:26:18.8433667Z [       OK ] MobileTypeParserTest.MismatchBracketRaises2 (4 ms)
2022-11-23T03:26:18.8434260Z [ RUN      ] MobileTypeParserTest.DictWithoutValueRaises
2022-11-23T03:26:18.8472512Z [       OK ] MobileTypeParserTest.DictWithoutValueRaises (3 ms)
2022-11-23T03:26:18.8473106Z [ RUN      ] MobileTypeParserTest.ListArgCountMismatchRaises
2022-11-23T03:26:18.8517256Z [       OK ] MobileTypeParserTest.ListArgCountMismatchRaises (4 ms)
2022-11-23T03:26:18.8517875Z [ RUN      ] MobileTypeParserTest.DictArgCountMismatchRaises
2022-11-23T03:26:18.8556081Z [       OK ] MobileTypeParserTest.DictArgCountMismatchRaises (3 ms)
2022-11-23T03:26:18.8556740Z [ RUN      ] MobileTypeParserTest.ValidTypeWithExtraStuffRaises
2022-11-23T03:26:18.8580992Z [       OK ] MobileTypeParserTest.ValidTypeWithExtraStuffRaises (2 ms)
2022-11-23T03:26:18.8581585Z [ RUN      ] MobileTypeParserTest.NonIdentifierRaises
2022-11-23T03:26:18.8606230Z [       OK ] MobileTypeParserTest.NonIdentifierRaises (2 ms)
2022-11-23T03:26:18.8606904Z [ RUN      ] MobileTypeParserTest.DictNestedNamedTupleTypeListRaises
2022-11-23T03:26:18.8658217Z [       OK ] MobileTypeParserTest.DictNestedNamedTupleTypeListRaises (5 ms)
2022-11-23T03:26:18.8659271Z [----------] 19 tests from MobileTypeParserTest (40 ms total)
2022-11-23T03:26:18.8659518Z 
2022-11-23T03:26:18.8659738Z [----------] 14 tests from ModuleAPITest
2022-11-23T03:26:18.8660122Z [ RUN      ] ModuleAPITest.MethodRunAsync
2022-11-23T03:26:18.8705060Z [       OK ] ModuleAPITest.MethodRunAsync (4 ms)
2022-11-23T03:26:18.8705585Z [ RUN      ] ModuleAPITest.Clone
2022-11-23T03:26:18.8705979Z [       OK ] ModuleAPITest.Clone (0 ms)
2022-11-23T03:26:18.8706412Z [ RUN      ] ModuleAPITest.CloneWithModuleInterface
2022-11-23T03:26:18.8718409Z [       OK ] ModuleAPITest.CloneWithModuleInterface (1 ms)
2022-11-23T03:26:18.8719173Z [ RUN      ] ModuleAPITest.Copy
2022-11-23T03:26:18.8719537Z [       OK ] ModuleAPITest.Copy (0 ms)
2022-11-23T03:26:18.8719919Z [ RUN      ] ModuleAPITest.DeepCopy
2022-11-23T03:26:18.8720399Z [       OK ] ModuleAPITest.DeepCopy (0 ms)
2022-11-23T03:26:18.8721116Z [ RUN      ] ModuleAPITest.DeepCopyString
2022-11-23T03:26:18.8721692Z [       OK ] ModuleAPITest.DeepCopyString (0 ms)
2022-11-23T03:26:18.8722112Z [ RUN      ] ModuleAPITest.DeepCopyEnum
2022-11-23T03:26:18.8722672Z [       OK ] ModuleAPITest.DeepCopyEnum (0 ms)
2022-11-23T03:26:18.8723314Z [ RUN      ] ModuleAPITest.DeepCopyPreservesAliasing
2022-11-23T03:26:18.8723845Z [       OK ] ModuleAPITest.DeepCopyPreservesAliasing (0 ms)
2022-11-23T03:26:18.8724286Z [ RUN      ] ModuleAPITest.Constants
2022-11-23T03:26:18.8724665Z [       OK ] ModuleAPITest.Constants (0 ms)
2022-11-23T03:26:18.8725072Z [ RUN      ] ModuleAPITest.Parameters
2022-11-23T03:26:18.8725480Z [       OK ] ModuleAPITest.Parameters (0 ms)
2022-11-23T03:26:18.8725869Z [ RUN      ] ModuleAPITest.Define
2022-11-23T03:26:18.8731955Z [       OK ] ModuleAPITest.Define (0 ms)
2022-11-23T03:26:18.8732347Z [ RUN      ] ModuleAPITest.Freezing
2022-11-23T03:26:18.8779650Z [       OK ] ModuleAPITest.Freezing (4 ms)
2022-11-23T03:26:18.8780127Z [ RUN      ] ModuleAPITest.OfiFreezesTraining
2022-11-23T03:26:18.8825253Z [       OK ] ModuleAPITest.OfiFreezesTraining (4 ms)
2022-11-23T03:26:18.8826072Z [ RUN      ] ModuleAPITest.To_CUDA
2022-11-23T03:26:18.8827287Z [       OK ] ModuleAPITest.To_CUDA (0 ms)
2022-11-23T03:26:18.8827702Z [----------] 14 tests from ModuleAPITest (17 ms total)
2022-11-23T03:26:18.8827933Z 
2022-11-23T03:26:18.8828184Z [----------] 6 tests from PeepholeOptimizeTest
2022-11-23T03:26:18.8828936Z [ RUN      ] PeepholeOptimizeTest.IsAndIsNot
2022-11-23T03:26:18.8829729Z [       OK ] PeepholeOptimizeTest.IsAndIsNot (0 ms)
2022-11-23T03:26:18.8830253Z [ RUN      ] PeepholeOptimizeTest.IsAndIsNot2
2022-11-23T03:26:18.8830713Z [       OK ] PeepholeOptimizeTest.IsAndIsNot2 (0 ms)
2022-11-23T03:26:18.8831425Z [ RUN      ] PeepholeOptimizeTest.IsAndIsNot3
2022-11-23T03:26:18.8832079Z [       OK ] PeepholeOptimizeTest.IsAndIsNot3 (0 ms)
2022-11-23T03:26:18.8832799Z [ RUN      ] PeepholeOptimizeTest.UnwrapOptional
2022-11-23T03:26:18.8833788Z [       OK ] PeepholeOptimizeTest.UnwrapOptional (0 ms)
2022-11-23T03:26:18.8834792Z [ RUN      ] PeepholeOptimizeTest.UnwrapOptional2
2022-11-23T03:26:18.8835530Z [       OK ] PeepholeOptimizeTest.UnwrapOptional2 (0 ms)
2022-11-23T03:26:18.8836004Z [ RUN      ] PeepholeOptimizeTest.AddMMFusion
2022-11-23T03:26:18.8836485Z [       OK ] PeepholeOptimizeTest.AddMMFusion (0 ms)
2022-11-23T03:26:18.8837308Z [----------] 6 tests from PeepholeOptimizeTest (0 ms total)
2022-11-23T03:26:18.8837563Z 
2022-11-23T03:26:18.8837768Z [----------] 5 tests from QualifiedNameTest
2022-11-23T03:26:18.8838231Z [ RUN      ] QualifiedNameTest.PrefixConstruction
2022-11-23T03:26:18.8838697Z [       OK ] QualifiedNameTest.PrefixConstruction (0 ms)
2022-11-23T03:26:18.8839170Z [ RUN      ] QualifiedNameTest.DottedConstruction
2022-11-23T03:26:18.8839646Z [       OK ] QualifiedNameTest.DottedConstruction (0 ms)
2022-11-23T03:26:18.8840091Z [ RUN      ] QualifiedNameTest.BadInputRaises
2022-11-23T03:26:18.8895987Z [       OK ] QualifiedNameTest.BadInputRaises (5 ms)
2022-11-23T03:26:18.8896927Z [ RUN      ] QualifiedNameTest.Equality
2022-11-23T03:26:18.8897538Z [       OK ] QualifiedNameTest.Equality (0 ms)
2022-11-23T03:26:18.8898288Z [ RUN      ] QualifiedNameTest.IsPrefixOf
2022-11-23T03:26:18.8898864Z [       OK ] QualifiedNameTest.IsPrefixOf (0 ms)
2022-11-23T03:26:18.8899325Z [----------] 5 tests from QualifiedNameTest (5 ms total)
2022-11-23T03:26:18.8899554Z 
2022-11-23T03:26:18.8899768Z [----------] 7 tests from SerializationTest
2022-11-23T03:26:18.8900240Z [ RUN      ] SerializationTest.ExtraFilesHookPreference
2022-11-23T03:26:18.8900879Z [W export_module.cpp:586] Warning: An extra files hook attempted to write metadata.json but this is already written in extra files and so will be skipped. This warning will only appear once per process. (function operator())
2022-11-23T03:26:18.8909608Z [       OK ] SerializationTest.ExtraFilesHookPreference (1 ms)
2022-11-23T03:26:18.8910234Z [ RUN      ] SerializationTest.ExtraFileHooksNoSecret
2022-11-23T03:26:18.8911566Z [       OK ] SerializationTest.ExtraFileHooksNoSecret (0 ms)
2022-11-23T03:26:18.8912473Z [ RUN      ] SerializationTest.ExtraFileHooksWithSecret
2022-11-23T03:26:18.8913253Z [       OK ] SerializationTest.ExtraFileHooksWithSecret (0 ms)
2022-11-23T03:26:18.8913697Z [ RUN      ] SerializationTest.TypeTags
2022-11-23T03:26:18.8918554Z [       OK ] SerializationTest.TypeTags (0 ms)
2022-11-23T03:26:18.8919031Z [ RUN      ] SerializationTest.TestJitStream_CUDA
2022-11-23T03:26:18.9117828Z [       OK ] SerializationTest.TestJitStream_CUDA (19 ms)
2022-11-23T03:26:18.9118406Z [ RUN      ] SerializationTest.ParentDirNotExist
2022-11-23T03:26:18.9161672Z [       OK ] SerializationTest.ParentDirNotExist (4 ms)
2022-11-23T03:26:18.9162876Z [ RUN      ] SerializationTest.CalculateNecessaryArgsTest
2022-11-23T03:26:18.9163408Z [       OK ] SerializationTest.CalculateNecessaryArgsTest (0 ms)
2022-11-23T03:26:18.9163928Z [----------] 7 tests from SerializationTest (26 ms total)
2022-11-23T03:26:18.9164156Z 
2022-11-23T03:26:18.9164383Z [----------] 3 tests from TestSourceRoundTrip
2022-11-23T03:26:18.9164844Z [ RUN      ] TestSourceRoundTrip.UpsampleNearest2d
2022-11-23T03:26:18.9191624Z [       OK ] TestSourceRoundTrip.UpsampleNearest2d (2 ms)
2022-11-23T03:26:18.9192357Z [ RUN      ] TestSourceRoundTrip.CheckAttrAccess
2022-11-23T03:26:18.9192808Z [       OK ] TestSourceRoundTrip.CheckAttrAccess (0 ms)
2022-11-23T03:26:18.9193265Z [ RUN      ] TestSourceRoundTrip.MethodInvocation
2022-11-23T03:26:18.9282424Z [       OK ] TestSourceRoundTrip.MethodInvocation (8 ms)
2022-11-23T03:26:18.9283369Z [----------] 3 tests from TestSourceRoundTrip (11 ms total)
2022-11-23T03:26:18.9283630Z 
2022-11-23T03:26:18.9283893Z [----------] 2 tests from FunctionSchemaIsAliasingTest
2022-11-23T03:26:18.9284334Z [ RUN      ] FunctionSchemaIsAliasingTest.Basic
2022-11-23T03:26:18.9284800Z [       OK ] FunctionSchemaIsAliasingTest.Basic (0 ms)
2022-11-23T03:26:18.9285695Z [ RUN      ] FunctionSchemaIsAliasingTest.InvalidArgument
2022-11-23T03:26:18.9309366Z [       OK ] FunctionSchemaIsAliasingTest.InvalidArgument (2 ms)
2022-11-23T03:26:18.9310250Z [----------] 2 tests from FunctionSchemaIsAliasingTest (2 ms total)
2022-11-23T03:26:18.9310537Z 
2022-11-23T03:26:18.9310796Z [----------] 2 tests from FunctionSchemaIsMutableTest
2022-11-23T03:26:18.9311243Z [ RUN      ] FunctionSchemaIsMutableTest.Basic
2022-11-23T03:26:18.9311692Z [       OK ] FunctionSchemaIsMutableTest.Basic (0 ms)
2022-11-23T03:26:18.9312180Z [ RUN      ] FunctionSchemaIsMutableTest.InvalidArgument
2022-11-23T03:26:18.9349040Z [       OK ] FunctionSchemaIsMutableTest.InvalidArgument (3 ms)
2022-11-23T03:26:18.9349974Z [----------] 2 tests from FunctionSchemaIsMutableTest (3 ms total)
2022-11-23T03:26:18.9350215Z 
2022-11-23T03:26:18.9350471Z [----------] 5 tests from SchemaInfoIsMutableTest
2022-11-23T03:26:18.9350922Z [ RUN      ] SchemaInfoIsMutableTest.Basic
2022-11-23T03:26:18.9351360Z [       OK ] SchemaInfoIsMutableTest.Basic (0 ms)
2022-11-23T03:26:18.9351811Z [ RUN      ] SchemaInfoIsMutableTest.InvalidArgument
2022-11-23T03:26:18.9392903Z [       OK ] SchemaInfoIsMutableTest.InvalidArgument (3 ms)
2022-11-23T03:26:18.9393725Z [ RUN      ] SchemaInfoIsMutableTest.AliasingInputs
2022-11-23T03:26:18.9394399Z [       OK ] SchemaInfoIsMutableTest.AliasingInputs (0 ms)
2022-11-23T03:26:18.9395159Z [ RUN      ] SchemaInfoIsMutableTest.InstanceNorm
2022-11-23T03:26:18.9395858Z [       OK ] SchemaInfoIsMutableTest.InstanceNorm (0 ms)
2022-11-23T03:26:18.9396602Z [ RUN      ] SchemaInfoIsMutableTest.BatchNorm
2022-11-23T03:26:18.9397021Z [       OK ] SchemaInfoIsMutableTest.BatchNorm (0 ms)
2022-11-23T03:26:18.9397520Z [----------] 5 tests from SchemaInfoIsMutableTest (4 ms total)
2022-11-23T03:26:18.9397782Z 
2022-11-23T03:26:18.9398069Z [----------] 2 tests from SchemaInfoIsNonDeterministicTest
2022-11-23T03:26:18.9398551Z [ RUN      ] SchemaInfoIsNonDeterministicTest.Basic
2022-11-23T03:26:18.9399029Z [       OK ] SchemaInfoIsNonDeterministicTest.Basic (0 ms)
2022-11-23T03:26:18.9399531Z [ RUN      ] SchemaInfoIsNonDeterministicTest.Dropout
2022-11-23T03:26:18.9400046Z [       OK ] SchemaInfoIsNonDeterministicTest.Dropout (0 ms)
2022-11-23T03:26:18.9400565Z [----------] 2 tests from SchemaInfoIsNonDeterministicTest (0 ms total)
2022-11-23T03:26:18.9400834Z 
2022-11-23T03:26:18.9401470Z [----------] 3 tests from FunctionSchemaMayAliasTest
2022-11-23T03:26:18.9401915Z [ RUN      ] FunctionSchemaMayAliasTest.Basic
2022-11-23T03:26:18.9402364Z [       OK ] FunctionSchemaMayAliasTest.Basic (0 ms)
2022-11-23T03:26:18.9403032Z [ RUN      ] FunctionSchemaMayAliasTest.InvalidArgument
2022-11-23T03:26:18.9433907Z [       OK ] FunctionSchemaMayAliasTest.InvalidArgument (3 ms)
2022-11-23T03:26:18.9434478Z [ RUN      ] FunctionSchemaMayAliasTest.Wildcard
2022-11-23T03:26:18.9434980Z [       OK ] FunctionSchemaMayAliasTest.Wildcard (0 ms)
2022-11-23T03:26:18.9435947Z [----------] 3 tests from FunctionSchemaMayAliasTest (3 ms total)
2022-11-23T03:26:18.9436426Z 
2022-11-23T03:26:18.9436763Z [----------] 7 tests from SchemaInfoMayAliasTest
2022-11-23T03:26:18.9437631Z [ RUN      ] SchemaInfoMayAliasTest.AliasingInputs
2022-11-23T03:26:18.9438478Z [       OK ] SchemaInfoMayAliasTest.AliasingInputs (0 ms)
2022-11-23T03:26:18.9439341Z [ RUN      ] SchemaInfoMayAliasTest.AliasingOutputs
2022-11-23T03:26:18.9440063Z [       OK ] SchemaInfoMayAliasTest.AliasingOutputs (0 ms)
2022-11-23T03:26:18.9440963Z [ RUN      ] SchemaInfoMayAliasTest.AliasingInputOutput
2022-11-23T03:26:18.9441566Z [       OK ] SchemaInfoMayAliasTest.AliasingInputOutput (0 ms)
2022-11-23T03:26:18.9442837Z [ RUN      ] SchemaInfoMayAliasTest.MultipleWildcardInputs
2022-11-23T03:26:18.9443563Z [       OK ] SchemaInfoMayAliasTest.MultipleWildcardInputs (0 ms)
2022-11-23T03:26:18.9444445Z [ RUN      ] SchemaInfoMayAliasTest.MultipleNonWildcardInputs
2022-11-23T03:26:18.9445452Z [W schema_info.cpp:333] Warning: alias::a appears twice in same argument list which will make aliasing checks more conservative. (function operator())
2022-11-23T03:26:18.9446074Z [       OK ] SchemaInfoMayAliasTest.MultipleNonWildcardInputs (0 ms)
2022-11-23T03:26:18.9446654Z [ RUN      ] SchemaInfoMayAliasTest.MultipleNonWildcardOutputs
2022-11-23T03:26:18.9447240Z [W schema_info.cpp:333] Warning: alias::a appears twice in same argument list which will make aliasing checks more conservative. (function operator())
2022-11-23T03:26:18.9447840Z [       OK ] SchemaInfoMayAliasTest.MultipleNonWildcardOutputs (0 ms)
2022-11-23T03:26:18.9448381Z [ RUN      ] SchemaInfoMayAliasTest.MismatchingTypes
2022-11-23T03:26:18.9448889Z [       OK ] SchemaInfoMayAliasTest.MismatchingTypes (0 ms)
2022-11-23T03:26:18.9449378Z [----------] 7 tests from SchemaInfoMayAliasTest (0 ms total)
2022-11-23T03:26:18.9449613Z 
2022-11-23T03:26:18.9449889Z [----------] 3 tests from FunctionSchemaMayContainAliasTest
2022-11-23T03:26:18.9450377Z [ RUN      ] FunctionSchemaMayContainAliasTest.Basic
2022-11-23T03:26:18.9450862Z [       OK ] FunctionSchemaMayContainAliasTest.Basic (0 ms)
2022-11-23T03:26:18.9451367Z [ RUN      ] FunctionSchemaMayContainAliasTest.Wildcard
2022-11-23T03:26:18.9451979Z [       OK ] FunctionSchemaMayContainAliasTest.Wildcard (0 ms)
2022-11-23T03:26:18.9452843Z [ RUN      ] FunctionSchemaMayContainAliasTest.InputAndOutputContainers
2022-11-23T03:26:18.9453510Z [       OK ] FunctionSchemaMayContainAliasTest.InputAndOutputContainers (0 ms)
2022-11-23T03:26:18.9454129Z [----------] 3 tests from FunctionSchemaMayContainAliasTest (0 ms total)
2022-11-23T03:26:18.9454395Z 
2022-11-23T03:26:18.9454827Z [----------] 6 tests from SchemaInfoMayContainAliasTest
2022-11-23T03:26:18.9455466Z [ RUN      ] SchemaInfoMayContainAliasTest.ContainAliasInputsEqual
2022-11-23T03:26:18.9456525Z [       OK ] SchemaInfoMayContainAliasTest.ContainAliasInputsEqual (0 ms)
2022-11-23T03:26:18.9457173Z [ RUN      ] SchemaInfoMayContainAliasTest.ContainAliasInputsContained
2022-11-23T03:26:18.9457891Z [       OK ] SchemaInfoMayContainAliasTest.ContainAliasInputsContained (0 ms)
2022-11-23T03:26:18.9458800Z [ RUN      ] SchemaInfoMayContainAliasTest.ContainAliasOutputs
2022-11-23T03:26:18.9459382Z [       OK ] SchemaInfoMayContainAliasTest.ContainAliasOutputs (0 ms)
2022-11-23T03:26:18.9459975Z [ RUN      ] SchemaInfoMayContainAliasTest.ContainAliasInputOutput
2022-11-23T03:26:18.9460586Z [       OK ] SchemaInfoMayContainAliasTest.ContainAliasInputOutput (0 ms)
2022-11-23T03:26:18.9461274Z [ RUN      ] SchemaInfoMayContainAliasTest.InputAndOutputContainers
2022-11-23T03:26:18.9462117Z [       OK ] SchemaInfoMayContainAliasTest.InputAndOutputContainers (0 ms)
2022-11-23T03:26:18.9462664Z [ RUN      ] SchemaInfoMayContainAliasTest.Wildcard
2022-11-23T03:26:18.9463145Z [       OK ] SchemaInfoMayContainAliasTest.Wildcard (0 ms)
2022-11-23T03:26:18.9463681Z [----------] 6 tests from SchemaInfoMayContainAliasTest (0 ms total)
2022-11-23T03:26:18.9463967Z 
2022-11-23T03:26:18.9464191Z [----------] 2 tests from SchemaMatchingTest
2022-11-23T03:26:18.9464583Z [ RUN      ] SchemaMatchingTest.VarType
2022-11-23T03:26:18.9464968Z [       OK ] SchemaMatchingTest.VarType (0 ms)
2022-11-23T03:26:18.9465382Z [ RUN      ] SchemaMatchingTest.VarType2
2022-11-23T03:26:18.9465824Z [       OK ] SchemaMatchingTest.VarType2 (0 ms)
2022-11-23T03:26:18.9466437Z [----------] 2 tests from SchemaMatchingTest (1 ms total)
2022-11-23T03:26:18.9466675Z 
2022-11-23T03:26:18.9466885Z [----------] 6 tests from StackOptTest
2022-11-23T03:26:18.9467278Z [ RUN      ] StackOptTest.UseVariadicStack
2022-11-23T03:26:18.9602687Z [       OK ] StackOptTest.UseVariadicStack (13 ms)
2022-11-23T03:26:18.9603263Z [ RUN      ] StackOptTest.UseVariadicStackReplaceMultiple
2022-11-23T03:26:18.9682019Z [       OK ] StackOptTest.UseVariadicStackReplaceMultiple (7 ms)
2022-11-23T03:26:18.9682637Z [ RUN      ] StackOptTest.UseVariadicStackWithMultipleListUses
2022-11-23T03:26:18.9726733Z [       OK ] StackOptTest.UseVariadicStackWithMultipleListUses (4 ms)
2022-11-23T03:26:18.9727427Z [ RUN      ] StackOptTest.UseVariadicStackWithListMutationAfterCat
2022-11-23T03:26:18.9785880Z [       OK ] StackOptTest.UseVariadicStackWithListMutationAfterCat (5 ms)
2022-11-23T03:26:18.9860446Z [ RUN      ] StackOptTest.UseVariadicStackWithListMutationBeforeCat
2022-11-23T03:26:18.9861130Z [       OK ] StackOptTest.UseVariadicStackWithListMutationBeforeCat (7 ms)
2022-11-23T03:26:18.9861787Z [ RUN      ] StackOptTest.UseVariadicStackWithMultipleListMutations
2022-11-23T03:26:18.9991905Z [       OK ] StackOptTest.UseVariadicStackWithMultipleListMutations (13 ms)
2022-11-23T03:26:18.9993136Z [----------] 6 tests from StackOptTest (52 ms total)
2022-11-23T03:26:18.9993472Z 
2022-11-23T03:26:18.9993885Z [----------] 16 tests from SubgraphMatcherTest
2022-11-23T03:26:18.9994761Z [ RUN      ] SubgraphMatcherTest.Trivial1
2022-11-23T03:26:18.9995454Z [       OK ] SubgraphMatcherTest.Trivial1 (0 ms)
2022-11-23T03:26:18.9996256Z [ RUN      ] SubgraphMatcherTest.Trivial2
2022-11-23T03:26:18.9996848Z [       OK ] SubgraphMatcherTest.Trivial2 (0 ms)
2022-11-23T03:26:18.9997299Z [ RUN      ] SubgraphMatcherTest.Trivial3
2022-11-23T03:26:18.9997743Z [       OK ] SubgraphMatcherTest.Trivial3 (0 ms)
2022-11-23T03:26:18.9998583Z [ RUN      ] SubgraphMatcherTest.Trivial4
2022-11-23T03:26:18.9999324Z [       OK ] SubgraphMatcherTest.Trivial4 (0 ms)
2022-11-23T03:26:18.9999748Z [ RUN      ] SubgraphMatcherTest.Linear1
2022-11-23T03:26:19.0000158Z [       OK ] SubgraphMatcherTest.Linear1 (0 ms)
2022-11-23T03:26:19.0000567Z [ RUN      ] SubgraphMatcherTest.Linear2
2022-11-23T03:26:19.0000987Z [       OK ] SubgraphMatcherTest.Linear2 (0 ms)
2022-11-23T03:26:19.0001794Z [ RUN      ] SubgraphMatcherTest.Diamond1
2022-11-23T03:26:19.0002459Z [       OK ] SubgraphMatcherTest.Diamond1 (0 ms)
2022-11-23T03:26:19.0002943Z [ RUN      ] SubgraphMatcherTest.Diamond2
2022-11-23T03:26:19.0003365Z [       OK ] SubgraphMatcherTest.Diamond2 (0 ms)
2022-11-23T03:26:19.0003768Z [ RUN      ] SubgraphMatcherTest.XPattern
2022-11-23T03:26:19.0004205Z [       OK ] SubgraphMatcherTest.XPattern (0 ms)
2022-11-23T03:26:19.0004651Z [ RUN      ] SubgraphMatcherTest.MultipleMatches
2022-11-23T03:26:19.0005103Z [       OK ] SubgraphMatcherTest.MultipleMatches (0 ms)
2022-11-23T03:26:19.0005594Z [ RUN      ] SubgraphMatcherTest.OverlappingMatches
2022-11-23T03:26:19.0006097Z [       OK ] SubgraphMatcherTest.OverlappingMatches (0 ms)
2022-11-23T03:26:19.0006580Z [ RUN      ] SubgraphMatcherTest.MatchInBasicBlocks1
2022-11-23T03:26:19.0007088Z [       OK ] SubgraphMatcherTest.MatchInBasicBlocks1 (0 ms)
2022-11-23T03:26:19.0007587Z [ RUN      ] SubgraphMatcherTest.MatchInBasicBlocks2
2022-11-23T03:26:19.0008088Z [       OK ] SubgraphMatcherTest.MatchInBasicBlocks2 (0 ms)
2022-11-23T03:26:19.0008560Z [ RUN      ] SubgraphMatcherTest.MatchesAttributes
2022-11-23T03:26:19.0009059Z [       OK ] SubgraphMatcherTest.MatchesAttributes (0 ms)
2022-11-23T03:26:19.0009726Z [ RUN      ] SubgraphMatcherTest.BadPattern
2022-11-23T03:26:19.0046800Z [       OK ] SubgraphMatcherTest.BadPattern (3 ms)
2022-11-23T03:26:19.0047356Z [ RUN      ] SubgraphMatcherTest.MultiOutput
2022-11-23T03:26:19.0047811Z [       OK ] SubgraphMatcherTest.MultiOutput (0 ms)
2022-11-23T03:26:19.0048308Z [----------] 16 tests from SubgraphMatcherTest (5 ms total)
2022-11-23T03:26:19.0048530Z 
2022-11-23T03:26:19.0048788Z [----------] 4 tests from SubgraphRewriterTest
2022-11-23T03:26:19.0049199Z [ RUN      ] SubgraphRewriterTest.FilterMatch
2022-11-23T03:26:19.0050446Z [       OK ] SubgraphRewriterTest.FilterMatch (0 ms)
2022-11-23T03:26:19.0050889Z [ RUN      ] SubgraphRewriterTest.FilterNoMatch
2022-11-23T03:26:19.0051368Z [       OK ] SubgraphRewriterTest.FilterNoMatch (0 ms)
2022-11-23T03:26:19.0051828Z [ RUN      ] SubgraphRewriterTest.MultiOutput
2022-11-23T03:26:19.0057874Z [       OK ] SubgraphRewriterTest.MultiOutput (0 ms)
2022-11-23T03:26:19.0058323Z [ RUN      ] SubgraphRewriterTest.OutputType
2022-11-23T03:26:19.0060283Z [       OK ] SubgraphRewriterTest.OutputType (0 ms)
2022-11-23T03:26:19.0060777Z [----------] 4 tests from SubgraphRewriterTest (1 ms total)
2022-11-23T03:26:19.0061013Z 
2022-11-23T03:26:19.0061235Z [----------] 3 tests from SubgraphUtilsTest
2022-11-23T03:26:19.0061606Z [ RUN      ] SubgraphUtilsTest.Basic
2022-11-23T03:26:19.0066329Z [       OK ] SubgraphUtilsTest.Basic (0 ms)
2022-11-23T03:26:19.0066750Z [ RUN      ] SubgraphUtilsTest.MergeSubgraphs
2022-11-23T03:26:19.0070759Z [       OK ] SubgraphUtilsTest.MergeSubgraphs (0 ms)
2022-11-23T03:26:19.0071723Z [ RUN      ] SubgraphUtilsTest.GraphName
2022-11-23T03:26:19.0072509Z [       OK ] SubgraphUtilsTest.GraphName (0 ms)
2022-11-23T03:26:19.0073408Z [----------] 3 tests from SubgraphUtilsTest (1 ms total)
2022-11-23T03:26:19.0073777Z 
2022-11-23T03:26:19.0074089Z [----------] 8 tests from UnionTypeTest
2022-11-23T03:26:19.0074595Z [ RUN      ] UnionTypeTest.UnionOperatorEquals
2022-11-23T03:26:19.0075504Z [       OK ] UnionTypeTest.UnionOperatorEquals (0 ms)
2022-11-23T03:26:19.0076185Z [ RUN      ] UnionTypeTest.UnionCreate_OptionalT1AndOptionalT2
2022-11-23T03:26:19.0076669Z [       OK ] UnionTypeTest.UnionCreate_OptionalT1AndOptionalT2 (0 ms)
2022-11-23T03:26:19.0077152Z [ RUN      ] UnionTypeTest.UnionCreate_OptionalTAndT
2022-11-23T03:26:19.0078076Z [       OK ] UnionTypeTest.UnionCreate_OptionalTAndT (0 ms)
2022-11-23T03:26:19.0078574Z [ RUN      ] UnionTypeTest.UnionCreate_TupleWithSubtypingRelationship
2022-11-23T03:26:19.0079138Z [       OK ] UnionTypeTest.UnionCreate_TupleWithSubtypingRelationship (0 ms)
2022-11-23T03:26:19.0079653Z [ RUN      ] UnionTypeTest.UnionCreate_ContainerTAndT
2022-11-23T03:26:19.0080109Z [       OK ] UnionTypeTest.UnionCreate_ContainerTAndT (0 ms)
2022-11-23T03:26:19.0080647Z [ RUN      ] UnionTypeTest.UnionCreate_OptionalContainerTAndContainerTAndT
2022-11-23T03:26:19.0081236Z [       OK ] UnionTypeTest.UnionCreate_OptionalContainerTAndContainerTAndT (0 ms)
2022-11-23T03:26:19.0081739Z [ RUN      ] UnionTypeTest.Subtyping_NumberType
2022-11-23T03:26:19.0082167Z [       OK ] UnionTypeTest.Subtyping_NumberType (0 ms)
2022-11-23T03:26:19.0082612Z [ RUN      ] UnionTypeTest.Subtyping_OptionalType
2022-11-23T03:26:19.0083069Z [       OK ] UnionTypeTest.Subtyping_OptionalType (0 ms)
2022-11-23T03:26:19.0083506Z [----------] 8 tests from UnionTypeTest (0 ms total)
2022-11-23T03:26:19.0083721Z 
2022-11-23T03:26:19.0083940Z [----------] 2 tests from ScriptProfileTest
2022-11-23T03:26:19.0084327Z [ RUN      ] ScriptProfileTest.Basic
2022-11-23T03:26:19.0084901Z [       OK ] ScriptProfileTest.Basic (0 ms)
2022-11-23T03:26:19.0085318Z [ RUN      ] ScriptProfileTest.CallingOrder
2022-11-23T03:26:19.0118370Z [       OK ] ScriptProfileTest.CallingOrder (3 ms)
2022-11-23T03:26:19.0118899Z [----------] 2 tests from ScriptProfileTest (3 ms total)
2022-11-23T03:26:19.0119096Z 
2022-11-23T03:26:19.0119305Z [----------] 7 tests from ShapeAnalysisTest
2022-11-23T03:26:19.0119746Z [ RUN      ] ShapeAnalysisTest.DynamicShapesFusion
2022-11-23T03:26:19.0241214Z [       OK ] ShapeAnalysisTest.DynamicShapesFusion (12 ms)
2022-11-23T03:26:19.0271315Z [ RUN      ] ShapeAnalysisTest.MovingConstantOutOfFusionGroups
2022-11-23T03:26:19.0271958Z [       OK ] ShapeAnalysisTest.MovingConstantOutOfFusionGroups (2 ms)
2022-11-23T03:26:19.0272478Z [ RUN      ] ShapeAnalysisTest.SymbolicShapeAPI
2022-11-23T03:26:19.0387582Z [       OK ] ShapeAnalysisTest.SymbolicShapeAPI (11 ms)
2022-11-23T03:26:19.0388171Z [ RUN      ] ShapeAnalysisTest.BoundedSymbolicShapes
2022-11-23T03:26:19.0396565Z [       OK ] ShapeAnalysisTest.BoundedSymbolicShapes (1 ms)
2022-11-23T03:26:19.0397112Z [ RUN      ] ShapeAnalysisTest.SymbolicShapeCaching
2022-11-23T03:26:19.0407282Z [       OK ] ShapeAnalysisTest.SymbolicShapeCaching (1 ms)
2022-11-23T03:26:19.0407763Z [ RUN      ] ShapeAnalysisTest.ShapeCacheMultipleFns
2022-11-23T03:26:19.0456037Z [       OK ] ShapeAnalysisTest.ShapeCacheMultipleFns (4 ms)
2022-11-23T03:26:19.0456966Z [ RUN      ] ShapeAnalysisTest.TestShapeMultipleReturns
2022-11-23T03:26:19.0477281Z [       OK ] ShapeAnalysisTest.TestShapeMultipleReturns (2 ms)
2022-11-23T03:26:19.0477987Z [----------] 7 tests from ShapeAnalysisTest (35 ms total)
2022-11-23T03:26:19.0478353Z 
2022-11-23T03:26:19.0478618Z [----------] 5 tests from JitLoggingTest
2022-11-23T03:26:19.0479168Z [ RUN      ] JitLoggingTest.CheckSetLoggingLevel
2022-11-23T03:26:19.0479782Z [       OK ] JitLoggingTest.CheckSetLoggingLevel (0 ms)
2022-11-23T03:26:19.0480224Z [ RUN      ] JitLoggingTest.CheckSetMultipleLogLevels
2022-11-23T03:26:19.0480732Z [       OK ] JitLoggingTest.CheckSetMultipleLogLevels (0 ms)
2022-11-23T03:26:19.0481267Z [ RUN      ] JitLoggingTest.CheckLoggingLevelAfterUnset
2022-11-23T03:26:19.0481775Z [       OK ] JitLoggingTest.CheckLoggingLevelAfterUnset (0 ms)
2022-11-23T03:26:19.0482278Z [ RUN      ] JitLoggingTest.CheckAfterChangingLevel
2022-11-23T03:26:19.0483134Z [       OK ] JitLoggingTest.CheckAfterChangingLevel (0 ms)
2022-11-23T03:26:19.0483626Z [ RUN      ] JitLoggingTest.CheckOutputStreamSetting
2022-11-23T03:26:19.0484109Z [       OK ] JitLoggingTest.CheckOutputStreamSetting (0 ms)
2022-11-23T03:26:19.0484588Z [----------] 5 tests from JitLoggingTest (0 ms total)
2022-11-23T03:26:19.0484806Z 
2022-11-23T03:26:19.0485016Z [----------] 9 tests from FileFormatTest
2022-11-23T03:26:19.0485444Z [ RUN      ] FileFormatTest.IdentifiesFlatbufferStream
2022-11-23T03:26:19.0485961Z [       OK ] FileFormatTest.IdentifiesFlatbufferStream (0 ms)
2022-11-23T03:26:19.0486442Z [ RUN      ] FileFormatTest.IdentifiesZipStream
2022-11-23T03:26:19.0486910Z [       OK ] FileFormatTest.IdentifiesZipStream (0 ms)
2022-11-23T03:26:19.0487379Z [ RUN      ] FileFormatTest.FlatbufferTakesPrecedence
2022-11-23T03:26:19.0487883Z [       OK ] FileFormatTest.FlatbufferTakesPrecedence (0 ms)
2022-11-23T03:26:19.0488370Z [ RUN      ] FileFormatTest.HandlesUnknownStream
2022-11-23T03:26:19.0489012Z [       OK ] FileFormatTest.HandlesUnknownStream (0 ms)
2022-11-23T03:26:19.0489535Z [ RUN      ] FileFormatTest.ShortStreamIsUnknown
2022-11-23T03:26:19.0490033Z [       OK ] FileFormatTest.ShortStreamIsUnknown (0 ms)
2022-11-23T03:26:19.0490841Z [ RUN      ] FileFormatTest.EmptyStreamIsUnknown
2022-11-23T03:26:19.0491328Z [       OK ] FileFormatTest.EmptyStreamIsUnknown (0 ms)
2022-11-23T03:26:19.0491787Z [ RUN      ] FileFormatTest.BadStreamIsUnknown
2022-11-23T03:26:19.0492243Z [       OK ] FileFormatTest.BadStreamIsUnknown (0 ms)
2022-11-23T03:26:19.0492862Z [ RUN      ] FileFormatTest.StreamOffsetIsObservedAndRestored
2022-11-23T03:26:19.0493526Z [       OK ] FileFormatTest.StreamOffsetIsObservedAndRestored (0 ms)
2022-11-23T03:26:19.0494217Z [ RUN      ] FileFormatTest.HandlesMissingFile
2022-11-23T03:26:19.0494681Z [       OK ] FileFormatTest.HandlesMissingFile (0 ms)
2022-11-23T03:26:19.0495137Z [----------] 9 tests from FileFormatTest (0 ms total)
2022-11-23T03:26:19.0495347Z 
2022-11-23T03:26:19.0495557Z [----------] 35 tests from FlatbufferTest
2022-11-23T03:26:19.0495955Z [ RUN      ] FlatbufferTest.UpsampleNearest2d
2022-11-23T03:26:19.0503550Z [       OK ] FlatbufferTest.UpsampleNearest2d (2 ms)
2022-11-23T03:26:19.0504096Z [ RUN      ] FlatbufferTest.UpsampleNearest2dWithCopyTensorMemory
2022-11-23T03:26:19.0523885Z [       OK ] FlatbufferTest.UpsampleNearest2dWithCopyTensorMemory (1 ms)
2022-11-23T03:26:19.0524436Z [ RUN      ] FlatbufferTest.CheckAttrAccess
2022-11-23T03:26:19.0524887Z [       OK ] FlatbufferTest.CheckAttrAccess (0 ms)
2022-11-23T03:26:19.0525325Z [ RUN      ] FlatbufferTest.MethodInvocation
2022-11-23T03:26:19.0561834Z [       OK ] FlatbufferTest.MethodInvocation (3 ms)
2022-11-23T03:26:19.0562353Z [ RUN      ] FlatbufferTest.FlatbufferBackPortTest
2022-11-23T03:26:19.0608584Z [       OK ] FlatbufferTest.FlatbufferBackPortTest (4 ms)
2022-11-23T03:26:19.0609087Z [ RUN      ] FlatbufferTest.ExtraFiles
2022-11-23T03:26:19.0611890Z [       OK ] FlatbufferTest.ExtraFiles (0 ms)
2022-11-23T03:26:19.0612326Z [ RUN      ] FlatbufferTest.Conv
2022-11-23T03:26:19.0658318Z [       OK ] FlatbufferTest.Conv (4 ms)
2022-11-23T03:26:19.0658855Z [ RUN      ] FlatbufferTest.ConvWithCopyTensorMemory
2022-11-23T03:26:19.0704004Z [       OK ] FlatbufferTest.ConvWithCopyTensorMemory (4 ms)
2022-11-23T03:26:19.0704563Z [ RUN      ] FlatbufferTest.Inline
2022-11-23T03:26:19.0715677Z [       OK ] FlatbufferTest.Inline (1 ms)
2022-11-23T03:26:19.0716194Z [ RUN      ] FlatbufferTest.InlineWithCopyTensorMemory
2022-11-23T03:26:19.0725218Z [       OK ] FlatbufferTest.InlineWithCopyTensorMemory (0 ms)
2022-11-23T03:26:19.0725682Z [ RUN      ] FlatbufferTest.Tuple
2022-11-23T03:26:19.0732485Z [       OK ] FlatbufferTest.Tuple (0 ms)
2022-11-23T03:26:19.0732863Z [ RUN      ] FlatbufferTest.Dict
2022-11-23T03:26:19.0740835Z [       OK ] FlatbufferTest.Dict (0 ms)
2022-11-23T03:26:19.0741270Z [ RUN      ] FlatbufferTest.Prim
2022-11-23T03:26:19.0746744Z [       OK ] FlatbufferTest.Prim (0 ms)
2022-11-23T03:26:19.0747764Z [ RUN      ] FlatbufferTest.PrimScalar
2022-11-23T03:26:19.0753259Z [       OK ] FlatbufferTest.PrimScalar (0 ms)
2022-11-23T03:26:19.0753777Z [ RUN      ] FlatbufferTest.WrongMethodName
2022-11-23T03:26:19.0800224Z [       OK ] FlatbufferTest.WrongMethodName (4 ms)
2022-11-23T03:26:19.0800686Z [ RUN      ] FlatbufferTest.SetState
2022-11-23T03:26:19.0841202Z [       OK ] FlatbufferTest.SetState (4 ms)
2022-11-23T03:26:19.0841686Z [ RUN      ] FlatbufferTest.BuiltinClass
2022-11-23T03:26:19.0848532Z [       OK ] FlatbufferTest.BuiltinClass (0 ms)
2022-11-23T03:26:19.0849075Z [ RUN      ] FlatbufferTest.BuiltinFunction
2022-11-23T03:26:19.0852779Z [       OK ] FlatbufferTest.BuiltinFunction (0 ms)
2022-11-23T03:26:19.0853187Z [ RUN      ] FlatbufferTest.Eval
2022-11-23T03:26:19.0862467Z [       OK ] FlatbufferTest.Eval (0 ms)
2022-11-23T03:26:19.0862948Z [ RUN      ] FlatbufferTest.FindWrongMethodName
2022-11-23T03:26:19.0866520Z [       OK ] FlatbufferTest.FindWrongMethodName (0 ms)
2022-11-23T03:26:19.0867122Z [ RUN      ] FlatbufferTest.FindAndRunMethod
2022-11-23T03:26:19.0876740Z [       OK ] FlatbufferTest.FindAndRunMethod (0 ms)
2022-11-23T03:26:19.0877341Z [ RUN      ] FlatbufferTest.RunMethodVariadic
2022-11-23T03:26:19.0885626Z [       OK ] FlatbufferTest.RunMethodVariadic (0 ms)
2022-11-23T03:26:19.0886132Z [ RUN      ] FlatbufferTest.DuplicateSetState
2022-11-23T03:26:19.0899751Z [       OK ] FlatbufferTest.DuplicateSetState (1 ms)
2022-11-23T03:26:19.0900317Z [ RUN      ] FlatbufferTest.OpNameExportFetchRootOperators
2022-11-23T03:26:19.0908943Z [       OK ] FlatbufferTest.OpNameExportFetchRootOperators (0 ms)
2022-11-23T03:26:19.0909490Z [ RUN      ] FlatbufferTest.DefaultArgsConv
2022-11-23T03:26:19.0935776Z [       OK ] FlatbufferTest.DefaultArgsConv (2 ms)
2022-11-23T03:26:19.1025656Z [ RUN      ] FlatbufferTest.DefaultArgsPinv
2022-11-23T03:26:19.1026156Z [       OK ] FlatbufferTest.DefaultArgsPinv (8 ms)
2022-11-23T03:26:19.1047311Z [ RUN      ] FlatbufferTest.DefaultArgsTensorinvSpecifyDefault
2022-11-23T03:26:19.1048147Z [       OK ] FlatbufferTest.DefaultArgsTensorinvSpecifyDefault (1 ms)
2022-11-23T03:26:19.1048712Z [ RUN      ] FlatbufferTest.DefaultArgsPinvWithOutArg
2022-11-23T03:26:19.1073947Z [       OK ] FlatbufferTest.DefaultArgsPinvWithOutArg (3 ms)
2022-11-23T03:26:19.1074499Z [ RUN      ] FlatbufferTest.DefaultArgsWithOutArg
2022-11-23T03:26:19.1086945Z [       OK ] FlatbufferTest.DefaultArgsWithOutArg (1 ms)
2022-11-23T03:26:19.1087531Z [ RUN      ] FlatbufferTest.OperatorCacheDifferentiatesDefaultArgs
2022-11-23T03:26:19.1131817Z [       OK ] FlatbufferTest.OperatorCacheDifferentiatesDefaultArgs (4 ms)
2022-11-23T03:26:19.1132586Z [ RUN      ] FlatbufferTest.OperatorSize1
2022-11-23T03:26:19.1133957Z [       OK ] FlatbufferTest.OperatorSize1 (0 ms)
2022-11-23T03:26:19.1134418Z [ RUN      ] FlatbufferTest.BoolAndDoubleList
2022-11-23T03:26:19.1135066Z [       OK ] FlatbufferTest.BoolAndDoubleList (0 ms)
2022-11-23T03:26:19.1135540Z [ RUN      ] FlatbufferTest.OperatorTest2
2022-11-23T03:26:19.1155003Z [       OK ] FlatbufferTest.OperatorTest2 (1 ms)
2022-11-23T03:26:19.1156151Z [ RUN      ] FlatbufferTest.DetachedBufferSmoke
2022-11-23T03:26:19.1156632Z [       OK ] FlatbufferTest.DetachedBufferSmoke (0 ms)
2022-11-23T03:26:19.1157106Z [ RUN      ] FlatbufferTest.DetachedBufferNullOwner
2022-11-23T03:26:19.1157615Z [       OK ] FlatbufferTest.DetachedBufferNullOwner (0 ms)
2022-11-23T03:26:19.1158135Z [----------] 35 tests from FlatbufferTest (67 ms total)
2022-11-23T03:26:19.1158345Z 
2022-11-23T03:26:19.1158588Z [----------] 3 tests from TestSourceFlatbuffer
2022-11-23T03:26:19.1159048Z [ RUN      ] TestSourceFlatbuffer.UpsampleNearest2d
2022-11-23T03:26:19.1186626Z [       OK ] TestSourceFlatbuffer.UpsampleNearest2d (2 ms)
2022-11-23T03:26:19.1187182Z [ RUN      ] TestSourceFlatbuffer.CheckAttrAccess
2022-11-23T03:26:19.1187670Z [       OK ] TestSourceFlatbuffer.CheckAttrAccess (0 ms)
2022-11-23T03:26:19.1188156Z [ RUN      ] TestSourceFlatbuffer.MethodInvocation
2022-11-23T03:26:19.1286303Z [       OK ] TestSourceFlatbuffer.MethodInvocation (9 ms)
2022-11-23T03:26:19.1287123Z [----------] 3 tests from TestSourceFlatbuffer (12 ms total)
2022-11-23T03:26:19.1287388Z 
2022-11-23T03:26:19.1287652Z [----------] 10 tests from FlatbufferUpgraderTest
2022-11-23T03:26:19.1288720Z [ RUN      ] FlatbufferUpgraderTest.DivTensorV2
2022-11-23T03:26:19.1289243Z [       OK ] FlatbufferUpgraderTest.DivTensorV2 (0 ms)
2022-11-23T03:26:19.1289986Z [ RUN      ] FlatbufferUpgraderTest.DivTensorOutV2
2022-11-23T03:26:19.1290518Z [       OK ] FlatbufferUpgraderTest.DivTensorOutV2 (0 ms)
2022-11-23T03:26:19.1290988Z [ RUN      ] FlatbufferUpgraderTest.DivTensorInplaceV2
2022-11-23T03:26:19.1291791Z [       OK ] FlatbufferUpgraderTest.DivTensorInplaceV2 (0 ms)
2022-11-23T03:26:19.1292481Z [ RUN      ] FlatbufferUpgraderTest.DivScalarFloatV2
2022-11-23T03:26:19.1293264Z [       OK ] FlatbufferUpgraderTest.DivScalarFloatV2 (0 ms)
2022-11-23T03:26:19.1294103Z [ RUN      ] FlatbufferUpgraderTest.DivScalarReciprocalFloatV2
2022-11-23T03:26:19.1294680Z [       OK ] FlatbufferUpgraderTest.DivScalarReciprocalFloatV2 (0 ms)
2022-11-23T03:26:19.1295561Z [ RUN      ] FlatbufferUpgraderTest.DivScalarReciprocalIntV2
2022-11-23T03:26:19.1296675Z [       OK ] FlatbufferUpgraderTest.DivScalarReciprocalIntV2 (0 ms)
2022-11-23T03:26:19.1297417Z [ RUN      ] FlatbufferUpgraderTest.DivScalarScalarV2
2022-11-23T03:26:19.1298393Z [       OK ] FlatbufferUpgraderTest.DivScalarScalarV2 (0 ms)
2022-11-23T03:26:19.1299318Z [ RUN      ] FlatbufferUpgraderTest.DivScalarIntV2
2022-11-23T03:26:19.1299962Z [       OK ] FlatbufferUpgraderTest.DivScalarIntV2 (0 ms)
2022-11-23T03:26:19.1300674Z [ RUN      ] FlatbufferUpgraderTest.DivScalarInplaceFloatV2
2022-11-23T03:26:19.1301777Z [       OK ] FlatbufferUpgraderTest.DivScalarInplaceFloatV2 (0 ms)
2022-11-23T03:26:19.1303018Z [ RUN      ] FlatbufferUpgraderTest.DivScalarInplaceIntV2
2022-11-23T03:26:19.1303963Z [       OK ] FlatbufferUpgraderTest.DivScalarInplaceIntV2 (0 ms)
2022-11-23T03:26:19.1305047Z [----------] 10 tests from FlatbufferUpgraderTest (1 ms total)
2022-11-23T03:26:19.1305585Z 
2022-11-23T03:26:19.1306046Z [----------] 759 tests from NVFuserTest
2022-11-23T03:26:19.1306943Z [ RUN      ] NVFuserTest.FusionDefinition_CUDA
2022-11-23T03:26:19.1307901Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1308818Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1309305Z [  SKIPPED ] NVFuserTest.FusionDefinition_CUDA (0 ms)
2022-11-23T03:26:19.1309908Z [ RUN      ] NVFuserTest.PyFusionCache_CUDA
2022-11-23T03:26:19.1310710Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1311896Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1312598Z [  SKIPPED ] NVFuserTest.PyFusionCache_CUDA (0 ms)
2022-11-23T03:26:19.1313437Z [ RUN      ] NVFuserTest.RecordFunctorEquality_CUDA
2022-11-23T03:26:19.1314248Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1315013Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1315736Z [  SKIPPED ] NVFuserTest.RecordFunctorEquality_CUDA (0 ms)
2022-11-23T03:26:19.1316456Z [ RUN      ] NVFuserTest.FusionIrGraphGenerator_CUDA
2022-11-23T03:26:19.1317295Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1317996Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1318686Z [  SKIPPED ] NVFuserTest.FusionIrGraphGenerator_CUDA (0 ms)
2022-11-23T03:26:19.1319492Z [ RUN      ] NVFuserTest.FusionDispatch_CUDA
2022-11-23T03:26:19.1320060Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1320764Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1321576Z [  SKIPPED ] NVFuserTest.FusionDispatch_CUDA (0 ms)
2022-11-23T03:26:19.1322322Z [ RUN      ] NVFuserTest.FusionExprEvalConstants_CUDA
2022-11-23T03:26:19.1323294Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1324176Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1324841Z [  SKIPPED ] NVFuserTest.FusionExprEvalConstants_CUDA (0 ms)
2022-11-23T03:26:19.1325654Z [ RUN      ] NVFuserTest.FusionExprEvalDouble_CUDA
2022-11-23T03:26:19.1326575Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1327277Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1327699Z [  SKIPPED ] NVFuserTest.FusionExprEvalDouble_CUDA (0 ms)
2022-11-23T03:26:19.1328394Z [ RUN      ] NVFuserTest.FusionExprEvalBindings_CUDA
2022-11-23T03:26:19.1329172Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1329955Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1330544Z [  SKIPPED ] NVFuserTest.FusionExprEvalBindings_CUDA (0 ms)
2022-11-23T03:26:19.1331507Z [ RUN      ] NVFuserTest.FusionExprEvalBasic_CUDA
2022-11-23T03:26:19.1332456Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1333130Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1333915Z [  SKIPPED ] NVFuserTest.FusionExprEvalBasic_CUDA (0 ms)
2022-11-23T03:26:19.1334883Z [ RUN      ] NVFuserTest.FusionExprEvalComplex_CUDA
2022-11-23T03:26:19.1335888Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1336950Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1337954Z [  SKIPPED ] NVFuserTest.FusionExprEvalComplex_CUDA (0 ms)
2022-11-23T03:26:19.1339095Z [ RUN      ] NVFuserTest.FusionExprEvalPostLower_CUDA
2022-11-23T03:26:19.1339928Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1340859Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1341846Z [  SKIPPED ] NVFuserTest.FusionExprEvalPostLower_CUDA (0 ms)
2022-11-23T03:26:19.1342991Z [ RUN      ] NVFuserTest.FusionKernelExprEvalConstants_CUDA
2022-11-23T03:26:19.1343967Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1344898Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1345917Z [  SKIPPED ] NVFuserTest.FusionKernelExprEvalConstants_CUDA (0 ms)
2022-11-23T03:26:19.1347110Z [ RUN      ] NVFuserTest.FusionKernelExprEvalBindings_CUDA
2022-11-23T03:26:19.1347968Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1348859Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1350491Z [  SKIPPED ] NVFuserTest.FusionKernelExprEvalBindings_CUDA (0 ms)
2022-11-23T03:26:19.1351201Z [ RUN      ] NVFuserTest.FusionClear_CUDA
2022-11-23T03:26:19.1351650Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1352066Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1352463Z [  SKIPPED ] NVFuserTest.FusionClear_CUDA (0 ms)
2022-11-23T03:26:19.1353165Z [ RUN      ] NVFuserTest.FusionCopy_CUDA
2022-11-23T03:26:19.1353574Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1354235Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1354892Z [  SKIPPED ] NVFuserTest.FusionCopy_CUDA (0 ms)
2022-11-23T03:26:19.1355649Z [ RUN      ] NVFuserTest.FusionMove_CUDA
2022-11-23T03:26:19.1356381Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1357119Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1357900Z [  SKIPPED ] NVFuserTest.FusionMove_CUDA (0 ms)
2022-11-23T03:26:19.1358351Z [ RUN      ] NVFuserTest.FusionSimpleArith_CUDA
2022-11-23T03:26:19.1358748Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1359438Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1360327Z [  SKIPPED ] NVFuserTest.FusionSimpleArith_CUDA (0 ms)
2022-11-23T03:26:19.1361107Z [ RUN      ] NVFuserTest.FusionScalarTypePromote_CUDA
2022-11-23T03:26:19.1361583Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1362028Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1362837Z [  SKIPPED ] NVFuserTest.FusionScalarTypePromote_CUDA (0 ms)
2022-11-23T03:26:19.1363834Z [ RUN      ] NVFuserTest.FusionComplexAbsTypes_CUDA
2022-11-23T03:26:19.1364638Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1365470Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1366361Z [  SKIPPED ] NVFuserTest.FusionComplexAbsTypes_CUDA (0 ms)
2022-11-23T03:26:19.1367286Z [ RUN      ] NVFuserTest.FusionRegister_CUDA
2022-11-23T03:26:19.1368176Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1369035Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1369995Z [  SKIPPED ] NVFuserTest.FusionRegister_CUDA (0 ms)
2022-11-23T03:26:19.1370880Z [ RUN      ] NVFuserTest.FusionTopoSort_CUDA
2022-11-23T03:26:19.1371800Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1372645Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1373615Z [  SKIPPED ] NVFuserTest.FusionTopoSort_CUDA (0 ms)
2022-11-23T03:26:19.1374193Z [ RUN      ] NVFuserTest.FusionTensor_CUDA
2022-11-23T03:26:19.1374765Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1375753Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1377252Z [  SKIPPED ] NVFuserTest.FusionTensor_CUDA (0 ms)
2022-11-23T03:26:19.1378100Z [ RUN      ] NVFuserTest.FusionFilterVals_CUDA
2022-11-23T03:26:19.1378938Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1379946Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1380471Z [  SKIPPED ] NVFuserTest.FusionFilterVals_CUDA (0 ms)
2022-11-23T03:26:19.1381159Z [ RUN      ] NVFuserTest.FusionTVSplit_CUDA
2022-11-23T03:26:19.1381756Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1382197Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1382617Z [  SKIPPED ] NVFuserTest.FusionTVSplit_CUDA (0 ms)
2022-11-23T03:26:19.1383480Z [ RUN      ] NVFuserTest.FusionTVMerge_CUDA
2022-11-23T03:26:19.1384543Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1385353Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1386153Z [  SKIPPED ] NVFuserTest.FusionTVMerge_CUDA (0 ms)
2022-11-23T03:26:19.1386891Z [ RUN      ] NVFuserTest.FusionTVReorder_CUDA
2022-11-23T03:26:19.1387637Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1388391Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1389302Z [  SKIPPED ] NVFuserTest.FusionTVReorder_CUDA (0 ms)
2022-11-23T03:26:19.1389937Z [ RUN      ] NVFuserTest.FusionEquality_CUDA
2022-11-23T03:26:19.1390489Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1390951Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1391347Z [  SKIPPED ] NVFuserTest.FusionEquality_CUDA (0 ms)
2022-11-23T03:26:19.1391919Z [ RUN      ] NVFuserTest.FusionDependency_CUDA
2022-11-23T03:26:19.1392530Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1392922Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1393344Z [  SKIPPED ] NVFuserTest.FusionDependency_CUDA (0 ms)
2022-11-23T03:26:19.1394288Z [ RUN      ] NVFuserTest.FusionParser_CUDA
2022-11-23T03:26:19.1395337Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1396274Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1396751Z [  SKIPPED ] NVFuserTest.FusionParser_CUDA (0 ms)
2022-11-23T03:26:19.1397515Z [ RUN      ] NVFuserTest.FusionOuterSplit_CUDA
2022-11-23T03:26:19.1398472Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1399361Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1400105Z [  SKIPPED ] NVFuserTest.FusionOuterSplit_CUDA (0 ms)
2022-11-23T03:26:19.1400844Z [ RUN      ] NVFuserTest.FusionCodeGen_CUDA
2022-11-23T03:26:19.1401438Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1402170Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1403107Z [  SKIPPED ] NVFuserTest.FusionCodeGen_CUDA (0 ms)
2022-11-23T03:26:19.1404037Z [ RUN      ] NVFuserTest.FusionCodeGen2_CUDA
2022-11-23T03:26:19.1404516Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1405161Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1405582Z [  SKIPPED ] NVFuserTest.FusionCodeGen2_CUDA (0 ms)
2022-11-23T03:26:19.1406115Z [ RUN      ] NVFuserTest.FusionSimplePWise_CUDA
2022-11-23T03:26:19.1406889Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1407735Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1408469Z [  SKIPPED ] NVFuserTest.FusionSimplePWise_CUDA (0 ms)
2022-11-23T03:26:19.1409206Z [ RUN      ] NVFuserTest.FusionSimplePWiseDtypeComplex_CUDA
2022-11-23T03:26:19.1409911Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1410481Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1411451Z [  SKIPPED ] NVFuserTest.FusionSimplePWiseDtypeComplex_CUDA (0 ms)
2022-11-23T03:26:19.1412447Z [ RUN      ] NVFuserTest.FusionExecKernel_CUDA
2022-11-23T03:26:19.1413236Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1413846Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1414671Z [  SKIPPED ] NVFuserTest.FusionExecKernel_CUDA (0 ms)
2022-11-23T03:26:19.1415588Z [ RUN      ] NVFuserTest.FusionAdvancedComputeAt1_CUDA
2022-11-23T03:26:19.1416753Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1417387Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1418637Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAt1_CUDA (0 ms)
2022-11-23T03:26:19.1419552Z [ RUN      ] NVFuserTest.FusionAdvancedComputeAt2_CUDA
2022-11-23T03:26:19.1420338Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1421150Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1422020Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAt2_CUDA (0 ms)
2022-11-23T03:26:19.1422903Z [ RUN      ] NVFuserTest.FusionAdvancedComputeAt3_CUDA
2022-11-23T03:26:19.1423706Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1424523Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1425520Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAt3_CUDA (0 ms)
2022-11-23T03:26:19.1426597Z [ RUN      ] NVFuserTest.FusionAdvancedComputeAt4_CUDA
2022-11-23T03:26:19.1427228Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1427734Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1428174Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAt4_CUDA (0 ms)
2022-11-23T03:26:19.1429256Z [ RUN      ] NVFuserTest.FusionAdvancedComputeAt5_CUDA
2022-11-23T03:26:19.1430024Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1430611Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1431365Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAt5_CUDA (0 ms)
2022-11-23T03:26:19.1432477Z [ RUN      ] NVFuserTest.FusionAdvancedComputeAt6_CUDA
2022-11-23T03:26:19.1433396Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1434263Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1435348Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAt6_CUDA (0 ms)
2022-11-23T03:26:19.1436476Z [ RUN      ] NVFuserTest.FusionAdvancedComputeAt7_CUDA
2022-11-23T03:26:19.1437357Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1438087Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1439116Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAt7_CUDA (0 ms)
2022-11-23T03:26:19.1439859Z [ RUN      ] NVFuserTest.FusionAdvancedComputeAt8_CUDA
2022-11-23T03:26:19.1440288Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1440906Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1441956Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAt8_CUDA (0 ms)
2022-11-23T03:26:19.1443008Z [ RUN      ] NVFuserTest.FusionAdvancedComputeWith1_CUDA
2022-11-23T03:26:19.1443872Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1444743Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1445592Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeWith1_CUDA (0 ms)
2022-11-23T03:26:19.1446783Z [ RUN      ] NVFuserTest.FusionAdvancedComputeWith2_CUDA
2022-11-23T03:26:19.1447783Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1448669Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1449549Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeWith2_CUDA (0 ms)
2022-11-23T03:26:19.1450609Z [ RUN      ] NVFuserTest.FusionAdvancedComputeWith3_CUDA
2022-11-23T03:26:19.1451324Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1452207Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1453221Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeWith3_CUDA (0 ms)
2022-11-23T03:26:19.1454334Z [ RUN      ] NVFuserTest.FusionAdvancedComputeWith4_CUDA
2022-11-23T03:26:19.1455261Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1456810Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1457537Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeWith4_CUDA (0 ms)
2022-11-23T03:26:19.1458505Z [ RUN      ] NVFuserTest.FusionAdvancedComputeWith5_CUDA
2022-11-23T03:26:19.1459321Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1460052Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1460654Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeWith5_CUDA (0 ms)
2022-11-23T03:26:19.1461610Z [ RUN      ] NVFuserTest.FusionAdvancedComputeWith6_CUDA
2022-11-23T03:26:19.1462405Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1462897Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1463501Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeWith6_CUDA (0 ms)
2022-11-23T03:26:19.1464498Z [ RUN      ] NVFuserTest.FusionComputeAtMultiConsumers_CUDA
2022-11-23T03:26:19.1465388Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1466430Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1467227Z [  SKIPPED ] NVFuserTest.FusionComputeAtMultiConsumers_CUDA (0 ms)
2022-11-23T03:26:19.1468296Z [ RUN      ] NVFuserTest.FusionComputeAtCommonConsumer1_CUDA
2022-11-23T03:26:19.1469385Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1470076Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1470788Z [  SKIPPED ] NVFuserTest.FusionComputeAtCommonConsumer1_CUDA (0 ms)
2022-11-23T03:26:19.1471725Z [ RUN      ] NVFuserTest.FusionComputeAtCommonConsumer2_CUDA
2022-11-23T03:26:19.1472308Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1473006Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1473929Z [  SKIPPED ] NVFuserTest.FusionComputeAtCommonConsumer2_CUDA (0 ms)
2022-11-23T03:26:19.1475024Z [ RUN      ] NVFuserTest.FusionComputeAtCommonConsumer3_CUDA
2022-11-23T03:26:19.1475798Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1476673Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1477803Z [  SKIPPED ] NVFuserTest.FusionComputeAtCommonConsumer3_CUDA (0 ms)
2022-11-23T03:26:19.1478880Z [ RUN      ] NVFuserTest.FusionComputeAtNoCommonConsumer_CUDA
2022-11-23T03:26:19.1479596Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1480293Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1480823Z [  SKIPPED ] NVFuserTest.FusionComputeAtNoCommonConsumer_CUDA (0 ms)
2022-11-23T03:26:19.1481793Z [ RUN      ] NVFuserTest.FusionRootMappingBasic_CUDA
2022-11-23T03:26:19.1482419Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1483223Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1483685Z [  SKIPPED ] NVFuserTest.FusionRootMappingBasic_CUDA (0 ms)
2022-11-23T03:26:19.1484299Z [ RUN      ] NVFuserTest.FusionRootMappingRfactor_CUDA
2022-11-23T03:26:19.1485097Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1485532Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1486390Z [  SKIPPED ] NVFuserTest.FusionRootMappingRfactor_CUDA (0 ms)
2022-11-23T03:26:19.1487600Z [ RUN      ] NVFuserTest.FusionRootMappingReductionDependency1_CUDA
2022-11-23T03:26:19.1488639Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1489373Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1490176Z [  SKIPPED ] NVFuserTest.FusionRootMappingReductionDependency1_CUDA (0 ms)
2022-11-23T03:26:19.1490979Z [ RUN      ] NVFuserTest.FusionRootMappingReductionDependency2_CUDA
2022-11-23T03:26:19.1491724Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1492382Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1493552Z [  SKIPPED ] NVFuserTest.FusionRootMappingReductionDependency2_CUDA (0 ms)
2022-11-23T03:26:19.1494889Z [ RUN      ] NVFuserTest.FusionRootMappingReductionDependency3_CUDA
2022-11-23T03:26:19.1495904Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1497080Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1498256Z [  SKIPPED ] NVFuserTest.FusionRootMappingReductionDependency3_CUDA (0 ms)
2022-11-23T03:26:19.1499465Z [ RUN      ] NVFuserTest.FusionRootMappingReductionDependency4_CUDA
2022-11-23T03:26:19.1500546Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1501358Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1502456Z [  SKIPPED ] NVFuserTest.FusionRootMappingReductionDependency4_CUDA (0 ms)
2022-11-23T03:26:19.1503287Z [ RUN      ] NVFuserTest.FusionRootMappingReductionDependency5_CUDA_CUDA
2022-11-23T03:26:19.1504059Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1504972Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1506282Z [  SKIPPED ] NVFuserTest.FusionRootMappingReductionDependency5_CUDA_CUDA (0 ms)
2022-11-23T03:26:19.1507430Z [ RUN      ] NVFuserTest.FusionRootMappingReductionDependency6_CUDA_CUDA
2022-11-23T03:26:19.1507981Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1508333Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1509435Z [  SKIPPED ] NVFuserTest.FusionRootMappingReductionDependency6_CUDA_CUDA (0 ms)
2022-11-23T03:26:19.1510837Z [ RUN      ] NVFuserTest.FusionRootMappingMultipleBroadcastWithNoCommonConsumer_CUDA
2022-11-23T03:26:19.1512101Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1512890Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1514110Z [  SKIPPED ] NVFuserTest.FusionRootMappingMultipleBroadcastWithNoCommonConsumer_CUDA (0 ms)
2022-11-23T03:26:19.1515535Z [ RUN      ] NVFuserTest.FusionRootMappingBroadcastNonUniqueSize_CUDA
2022-11-23T03:26:19.1516502Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1517351Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1518455Z [  SKIPPED ] NVFuserTest.FusionRootMappingBroadcastNonUniqueSize_CUDA (0 ms)
2022-11-23T03:26:19.1519649Z [ RUN      ] NVFuserTest.FusionRootMappingBroadcast_CUDA
2022-11-23T03:26:19.1520559Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1521438Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1522439Z [  SKIPPED ] NVFuserTest.FusionRootMappingBroadcast_CUDA (0 ms)
2022-11-23T03:26:19.1523582Z [ RUN      ] NVFuserTest.FusionRootMappingTrivialReduction_CUDA
2022-11-23T03:26:19.1524536Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1525342Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1526347Z [  SKIPPED ] NVFuserTest.FusionRootMappingTrivialReduction_CUDA (0 ms)
2022-11-23T03:26:19.1527497Z [ RUN      ] NVFuserTest.FusionRootMappingRepro1950_CUDA
2022-11-23T03:26:19.1528362Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1529268Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1530230Z [  SKIPPED ] NVFuserTest.FusionRootMappingRepro1950_CUDA (0 ms)
2022-11-23T03:26:19.1531332Z [ RUN      ] NVFuserTest.FusionDetectSelfMappedDomains_CUDA
2022-11-23T03:26:19.1532272Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1533588Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1534605Z [  SKIPPED ] NVFuserTest.FusionDetectSelfMappedDomains_CUDA (0 ms)
2022-11-23T03:26:19.1535733Z [ RUN      ] NVFuserTest.FusionScalarInputs_CUDA
2022-11-23T03:26:19.1536845Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1537749Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1538779Z [  SKIPPED ] NVFuserTest.FusionScalarInputs_CUDA (0 ms)
2022-11-23T03:26:19.1539670Z [ RUN      ] NVFuserTest.FusionLoopUnroll_CUDA
2022-11-23T03:26:19.1540457Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1541321Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1542275Z [  SKIPPED ] NVFuserTest.FusionLoopUnroll_CUDA (0 ms)
2022-11-23T03:26:19.1543102Z [ RUN      ] NVFuserTest.FusionUnaryOps_CUDA
2022-11-23T03:26:19.1543825Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1544642Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1545549Z [  SKIPPED ] NVFuserTest.FusionUnaryOps_CUDA (0 ms)
2022-11-23T03:26:19.1546448Z [ RUN      ] NVFuserTest.FusionBinaryOps_CUDA
2022-11-23T03:26:19.1547316Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1548400Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1549276Z [  SKIPPED ] NVFuserTest.FusionBinaryOps_CUDA (0 ms)
2022-11-23T03:26:19.1550219Z [ RUN      ] NVFuserTest.FusionTernaryOps_CUDA
2022-11-23T03:26:19.1551033Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1551870Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1552776Z [  SKIPPED ] NVFuserTest.FusionTernaryOps_CUDA (0 ms)
2022-11-23T03:26:19.1553743Z [ RUN      ] NVFuserTest.FusionCompoundOps_CUDA
2022-11-23T03:26:19.1554600Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1555396Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1556426Z [  SKIPPED ] NVFuserTest.FusionCompoundOps_CUDA (0 ms)
2022-11-23T03:26:19.1557023Z [ RUN      ] NVFuserTest.FusionCastOps_CUDA
2022-11-23T03:26:19.1557779Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1558619Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1559569Z [  SKIPPED ] NVFuserTest.FusionCastOps_CUDA (0 ms)
2022-11-23T03:26:19.1560449Z [ RUN      ] NVFuserTest.FusionReduction1_CUDA
2022-11-23T03:26:19.1561287Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1562169Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1563079Z [  SKIPPED ] NVFuserTest.FusionReduction1_CUDA (0 ms)
2022-11-23T03:26:19.1563981Z [ RUN      ] NVFuserTest.FusionReduction2_CUDA
2022-11-23T03:26:19.1564861Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1565662Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1566494Z [  SKIPPED ] NVFuserTest.FusionReduction2_CUDA (0 ms)
2022-11-23T03:26:19.1567430Z [ RUN      ] NVFuserTest.FusionReduction3_CUDA
2022-11-23T03:26:19.1568376Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1569206Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1570123Z [  SKIPPED ] NVFuserTest.FusionReduction3_CUDA (0 ms)
2022-11-23T03:26:19.1570979Z [ RUN      ] NVFuserTest.FusionReduction4_CUDA
2022-11-23T03:26:19.1571835Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1572685Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1573546Z [  SKIPPED ] NVFuserTest.FusionReduction4_CUDA (0 ms)
2022-11-23T03:26:19.1574943Z [ RUN      ] NVFuserTest.FusionReduction5_CUDA
2022-11-23T03:26:19.1575701Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1576857Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1577916Z [  SKIPPED ] NVFuserTest.FusionReduction5_CUDA (0 ms)
2022-11-23T03:26:19.1578885Z [ RUN      ] NVFuserTest.FusionReduction6_CUDA
2022-11-23T03:26:19.1579645Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1580473Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1581373Z [  SKIPPED ] NVFuserTest.FusionReduction6_CUDA (0 ms)
2022-11-23T03:26:19.1582357Z [ RUN      ] NVFuserTest.FusionMultiGridReduction_CUDA
2022-11-23T03:26:19.1583289Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1584163Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1585190Z [  SKIPPED ] NVFuserTest.FusionMultiGridReduction_CUDA (0 ms)
2022-11-23T03:26:19.1586241Z [ RUN      ] NVFuserTest.FusionMultiGridReduction2_CUDA
2022-11-23T03:26:19.1587148Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1587984Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1588940Z [  SKIPPED ] NVFuserTest.FusionMultiGridReduction2_CUDA (0 ms)
2022-11-23T03:26:19.1590185Z [ RUN      ] NVFuserTest.FusionReductionTFT_CUDA
2022-11-23T03:26:19.1591076Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1591952Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1592798Z [  SKIPPED ] NVFuserTest.FusionReductionTFT_CUDA (0 ms)
2022-11-23T03:26:19.1593828Z [ RUN      ] NVFuserTest.FusionReductionOuterSplit_CUDA
2022-11-23T03:26:19.1594743Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1595621Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1596579Z [  SKIPPED ] NVFuserTest.FusionReductionOuterSplit_CUDA (0 ms)
2022-11-23T03:26:19.1597562Z [ RUN      ] NVFuserTest.FusionBranches_CUDA
2022-11-23T03:26:19.1598410Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1599252Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1600141Z [  SKIPPED ] NVFuserTest.FusionBranches_CUDA (0 ms)
2022-11-23T03:26:19.1601009Z [ RUN      ] NVFuserTest.FusionSimpleBCast1_CUDA
2022-11-23T03:26:19.1601865Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1602701Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1603593Z [  SKIPPED ] NVFuserTest.FusionSimpleBCast1_CUDA (0 ms)
2022-11-23T03:26:19.1604570Z [ RUN      ] NVFuserTest.FusionSimpleBCast2_CUDA
2022-11-23T03:26:19.1605461Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1606304Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1607209Z [  SKIPPED ] NVFuserTest.FusionSimpleBCast2_CUDA (0 ms)
2022-11-23T03:26:19.1608147Z [ RUN      ] NVFuserTest.FusionSimpleBCast3_CUDA
2022-11-23T03:26:19.1608948Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1609822Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1610675Z [  SKIPPED ] NVFuserTest.FusionSimpleBCast3_CUDA (0 ms)
2022-11-23T03:26:19.1611665Z [ RUN      ] NVFuserTest.FusionSimpleBCast4_CUDA
2022-11-23T03:26:19.1612502Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1613324Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1614206Z [  SKIPPED ] NVFuserTest.FusionSimpleBCast4_CUDA (0 ms)
2022-11-23T03:26:19.1615135Z [ RUN      ] NVFuserTest.FusionSimpleBCast5_CUDA
2022-11-23T03:26:19.1616007Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1617664Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1618601Z [  SKIPPED ] NVFuserTest.FusionSimpleBCast5_CUDA (0 ms)
2022-11-23T03:26:19.1619551Z [ RUN      ] NVFuserTest.FusionComplexBCast1_CUDA
2022-11-23T03:26:19.1620094Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1620488Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1620919Z [  SKIPPED ] NVFuserTest.FusionComplexBCast1_CUDA (0 ms)
2022-11-23T03:26:19.1621543Z [ RUN      ] NVFuserTest.FusionComplexBCast2_CUDA
2022-11-23T03:26:19.1622341Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1623122Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1624001Z [  SKIPPED ] NVFuserTest.FusionComplexBCast2_CUDA (0 ms)
2022-11-23T03:26:19.1624953Z [ RUN      ] NVFuserTest.FusionAdvancedIndexing1_CUDA
2022-11-23T03:26:19.1625487Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1625905Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1626380Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing1_CUDA (0 ms)
2022-11-23T03:26:19.1626895Z [ RUN      ] NVFuserTest.FusionAdvancedIndexing2_CUDA
2022-11-23T03:26:19.1627490Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1627940Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1628412Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing2_CUDA (0 ms)
2022-11-23T03:26:19.1628966Z [ RUN      ] NVFuserTest.FusionAdvancedIndexing3_CUDA
2022-11-23T03:26:19.1629595Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1630373Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1631276Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing3_CUDA (0 ms)
2022-11-23T03:26:19.1632205Z [ RUN      ] NVFuserTest.FusionAdvancedIndexing4_CUDA
2022-11-23T03:26:19.1633023Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1633773Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1634418Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing4_CUDA (0 ms)
2022-11-23T03:26:19.1635466Z [ RUN      ] NVFuserTest.FusionAdvancedIndexing5_CUDA
2022-11-23T03:26:19.1636063Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1636476Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1636952Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing5_CUDA (0 ms)
2022-11-23T03:26:19.1637466Z [ RUN      ] NVFuserTest.FusionAdvancedIndexing6_CUDA
2022-11-23T03:26:19.1637902Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1638298Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1638773Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing6_CUDA (0 ms)
2022-11-23T03:26:19.1639280Z [ RUN      ] NVFuserTest.FusionAdvancedIndexing7_CUDA
2022-11-23T03:26:19.1639689Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1640104Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1640577Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing7_CUDA (0 ms)
2022-11-23T03:26:19.1641063Z [ RUN      ] NVFuserTest.FusionAdvancedIndexing8_CUDA
2022-11-23T03:26:19.1641499Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1641919Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1642378Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing8_CUDA (0 ms)
2022-11-23T03:26:19.1642862Z [ RUN      ] NVFuserTest.FusionAdvancedIndexing9_CUDA
2022-11-23T03:26:19.1643296Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1643887Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1644327Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing9_CUDA (0 ms)
2022-11-23T03:26:19.1644844Z [ RUN      ] NVFuserTest.FusionAdvancedIndexing10_CUDA
2022-11-23T03:26:19.1645286Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1645706Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1646157Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing10_CUDA (0 ms)
2022-11-23T03:26:19.1646669Z [ RUN      ] NVFuserTest.FusionAdvancedIndexing11_CUDA
2022-11-23T03:26:19.1647103Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1647607Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1648079Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing11_CUDA (0 ms)
2022-11-23T03:26:19.1648588Z [ RUN      ] NVFuserTest.FusionAdvancedLowering1_CUDA
2022-11-23T03:26:19.1649010Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1649428Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1649893Z [  SKIPPED ] NVFuserTest.FusionAdvancedLowering1_CUDA (0 ms)
2022-11-23T03:26:19.1650404Z [ RUN      ] NVFuserTest.FusionAdvancedLowering2_CUDA
2022-11-23T03:26:19.1650898Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1651330Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1651793Z [  SKIPPED ] NVFuserTest.FusionAdvancedLowering2_CUDA (0 ms)
2022-11-23T03:26:19.1652283Z [ RUN      ] NVFuserTest.FusionAdvancedLowering3_CUDA
2022-11-23T03:26:19.1652715Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1653136Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1653576Z [  SKIPPED ] NVFuserTest.FusionAdvancedLowering3_CUDA (0 ms)
2022-11-23T03:26:19.1654090Z [ RUN      ] NVFuserTest.FusionAdvancedLowering4_CUDA
2022-11-23T03:26:19.1654519Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1654939Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1655379Z [  SKIPPED ] NVFuserTest.FusionAdvancedLowering4_CUDA (0 ms)
2022-11-23T03:26:19.1655896Z [ RUN      ] NVFuserTest.FusionAdvancedLowering5_CUDA
2022-11-23T03:26:19.1656695Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1657105Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1657572Z [  SKIPPED ] NVFuserTest.FusionAdvancedLowering5_CUDA (0 ms)
2022-11-23T03:26:19.1658082Z [ RUN      ] NVFuserTest.FusionAdvancedLowering6_CUDA
2022-11-23T03:26:19.1658493Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1658909Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1659386Z [  SKIPPED ] NVFuserTest.FusionAdvancedLowering6_CUDA (0 ms)
2022-11-23T03:26:19.1659870Z [ RUN      ] NVFuserTest.FusionSimpleGemm_CUDA
2022-11-23T03:26:19.1660263Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1660674Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1661121Z [  SKIPPED ] NVFuserTest.FusionSimpleGemm_CUDA (0 ms)
2022-11-23T03:26:19.1661558Z [ RUN      ] NVFuserTest.FusionSoftmax1D_CUDA
2022-11-23T03:26:19.1661976Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1662392Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1662800Z [  SKIPPED ] NVFuserTest.FusionSoftmax1D_CUDA (0 ms)
2022-11-23T03:26:19.1663288Z [ RUN      ] NVFuserTest.FusionSoftmax1DNormalized_CUDA
2022-11-23T03:26:19.1663721Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1664355Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1664794Z [  SKIPPED ] NVFuserTest.FusionSoftmax1DNormalized_CUDA (0 ms)
2022-11-23T03:26:19.1665265Z [ RUN      ] NVFuserTest.FusionSoftmax3D_CUDA
2022-11-23T03:26:19.1665670Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1666066Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1666491Z [  SKIPPED ] NVFuserTest.FusionSoftmax3D_CUDA (0 ms)
2022-11-23T03:26:19.1666971Z [ RUN      ] NVFuserTest.FusionSoftmax3DNormalized_CUDA
2022-11-23T03:26:19.1667381Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1667791Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1668259Z [  SKIPPED ] NVFuserTest.FusionSoftmax3DNormalized_CUDA (0 ms)
2022-11-23T03:26:19.1668768Z [ RUN      ] NVFuserTest.FusionSoftmaxComputeAt_CUDA
2022-11-23T03:26:19.1669176Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1669590Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1670040Z [  SKIPPED ] NVFuserTest.FusionSoftmaxComputeAt_CUDA (0 ms)
2022-11-23T03:26:19.1670503Z [ RUN      ] NVFuserTest.FusionGridReduction1_CUDA
2022-11-23T03:26:19.1671006Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1671428Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1671850Z [  SKIPPED ] NVFuserTest.FusionGridReduction1_CUDA (0 ms)
2022-11-23T03:26:19.1672328Z [ RUN      ] NVFuserTest.FusionGridReduction2_CUDA
2022-11-23T03:26:19.1672743Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1673151Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1673576Z [  SKIPPED ] NVFuserTest.FusionGridReduction2_CUDA (0 ms)
2022-11-23T03:26:19.1674070Z [ RUN      ] NVFuserTest.FusionGridReduction3dim1_CUDA
2022-11-23T03:26:19.1674511Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1674900Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1675355Z [  SKIPPED ] NVFuserTest.FusionGridReduction3dim1_CUDA (0 ms)
2022-11-23T03:26:19.1675856Z [ RUN      ] NVFuserTest.FusionGridReduction3dim0_CUDA
2022-11-23T03:26:19.1676269Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1676680Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1677137Z [  SKIPPED ] NVFuserTest.FusionGridReduction3dim0_CUDA (0 ms)
2022-11-23T03:26:19.1677628Z [ RUN      ] NVFuserTest.FusionGridReduction4_CUDA
2022-11-23T03:26:19.1678025Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1678429Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1678875Z [  SKIPPED ] NVFuserTest.FusionGridReduction4_CUDA (0 ms)
2022-11-23T03:26:19.1679352Z [ RUN      ] NVFuserTest.FusionGridReduction5_CUDA
2022-11-23T03:26:19.1679779Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1680194Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1680638Z [  SKIPPED ] NVFuserTest.FusionGridReduction5_CUDA (0 ms)
2022-11-23T03:26:19.1681128Z [ RUN      ] NVFuserTest.FusionGridReduction6_CUDA
2022-11-23T03:26:19.1681550Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1681964Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1682410Z [  SKIPPED ] NVFuserTest.FusionGridReduction6_CUDA (0 ms)
2022-11-23T03:26:19.1682901Z [ RUN      ] NVFuserTest.FusionGridReduction7_CUDA
2022-11-23T03:26:19.1683336Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1683738Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1684460Z [  SKIPPED ] NVFuserTest.FusionGridReduction7_CUDA (0 ms)
2022-11-23T03:26:19.1685301Z [ RUN      ] NVFuserTest.FusionGridReduction8_CUDA
2022-11-23T03:26:19.1685713Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1686135Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1686601Z [  SKIPPED ] NVFuserTest.FusionGridReduction8_CUDA (0 ms)
2022-11-23T03:26:19.1687083Z [ RUN      ] NVFuserTest.FusionGridReduction9_CUDA
2022-11-23T03:26:19.1687478Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1687891Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1688341Z [  SKIPPED ] NVFuserTest.FusionGridReduction9_CUDA (0 ms)
2022-11-23T03:26:19.1688803Z [ RUN      ] NVFuserTest.FusionGridReduction10_CUDA
2022-11-23T03:26:19.1689232Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1689658Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1690090Z [  SKIPPED ] NVFuserTest.FusionGridReduction10_CUDA (0 ms)
2022-11-23T03:26:19.1690583Z [ RUN      ] NVFuserTest.FusionNonRedAxisBind_CUDA
2022-11-23T03:26:19.1691003Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1691581Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1692026Z [  SKIPPED ] NVFuserTest.FusionNonRedAxisBind_CUDA (0 ms)
2022-11-23T03:26:19.1692501Z [ RUN      ] NVFuserTest.FusionSplitBCast_CUDA
2022-11-23T03:26:19.1692916Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1693307Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1693746Z [  SKIPPED ] NVFuserTest.FusionSplitBCast_CUDA (0 ms)
2022-11-23T03:26:19.1694216Z [ RUN      ] NVFuserTest.FusionBCastInnerDim_CUDA
2022-11-23T03:26:19.1694611Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1695034Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1695477Z [  SKIPPED ] NVFuserTest.FusionBCastInnerDim_CUDA (0 ms)
2022-11-23T03:26:19.1695949Z [ RUN      ] NVFuserTest.FusionBCastReduce_CUDA
2022-11-23T03:26:19.1696749Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1697177Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1697621Z [  SKIPPED ] NVFuserTest.FusionBCastReduce_CUDA (0 ms)
2022-11-23T03:26:19.1698111Z [ RUN      ] NVFuserTest.FusionReductionMultiConsumer_CUDA
2022-11-23T03:26:19.1698566Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1698979Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1699441Z [  SKIPPED ] NVFuserTest.FusionReductionMultiConsumer_CUDA (0 ms)
2022-11-23T03:26:19.1699985Z [ RUN      ] NVFuserTest.FusionComputeAtExprOrder1_CUDA
2022-11-23T03:26:19.1700437Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1700851Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1701304Z [  SKIPPED ] NVFuserTest.FusionComputeAtExprOrder1_CUDA (0 ms)
2022-11-23T03:26:19.1701832Z [ RUN      ] NVFuserTest.FusionComputeAtExprOrder2_CUDA
2022-11-23T03:26:19.1702275Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1702667Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1703137Z [  SKIPPED ] NVFuserTest.FusionComputeAtExprOrder2_CUDA (0 ms)
2022-11-23T03:26:19.1703662Z [ RUN      ] NVFuserTest.FusionComputeAtExprOrder3_CUDA
2022-11-23T03:26:19.1704111Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1704507Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1704977Z [  SKIPPED ] NVFuserTest.FusionComputeAtExprOrder3_CUDA (0 ms)
2022-11-23T03:26:19.1705683Z [ RUN      ] NVFuserTest.FusionZeroDimComputeAt_CUDA
2022-11-23T03:26:19.1706094Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1706507Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1706974Z [  SKIPPED ] NVFuserTest.FusionZeroDimComputeAt_CUDA (0 ms)
2022-11-23T03:26:19.1707452Z [ RUN      ] NVFuserTest.FusionZeroDimBroadcast_CUDA
2022-11-23T03:26:19.1707877Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1708325Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1708782Z [  SKIPPED ] NVFuserTest.FusionZeroDimBroadcast_CUDA (0 ms)
2022-11-23T03:26:19.1709260Z [ RUN      ] NVFuserTest.FusionZeroDimReduction_CUDA
2022-11-23T03:26:19.1709696Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1710119Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1710559Z [  SKIPPED ] NVFuserTest.FusionZeroDimReduction_CUDA (0 ms)
2022-11-23T03:26:19.1711059Z [ RUN      ] NVFuserTest.FusionBCastAfterReduce_CUDA
2022-11-23T03:26:19.1711478Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1711863Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1712400Z [  SKIPPED ] NVFuserTest.FusionBCastAfterReduce_CUDA (0 ms)
2022-11-23T03:26:19.1712902Z [ RUN      ] NVFuserTest.FusionOutputBroadcast_CUDA
2022-11-23T03:26:19.1713320Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1713708Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1714153Z [  SKIPPED ] NVFuserTest.FusionOutputBroadcast_CUDA (0 ms)
2022-11-23T03:26:19.1714663Z [ RUN      ] NVFuserTest.FusionReductionKeepDimBasic_CUDA
2022-11-23T03:26:19.1715084Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1715493Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1715962Z [  SKIPPED ] NVFuserTest.FusionReductionKeepDimBasic_CUDA (0 ms)
2022-11-23T03:26:19.1716495Z [ RUN      ] NVFuserTest.FusionReductionKeepDimScheduler_CUDA
2022-11-23T03:26:19.1716957Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1717365Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1717850Z [  SKIPPED ] NVFuserTest.FusionReductionKeepDimScheduler_CUDA (0 ms)
2022-11-23T03:26:19.1718313Z [ RUN      ] NVFuserTest.FusionSumTo_CUDA
2022-11-23T03:26:19.1718703Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1719109Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1719500Z [  SKIPPED ] NVFuserTest.FusionSumTo_CUDA (0 ms)
2022-11-23T03:26:19.1719936Z [ RUN      ] NVFuserTest.FusionSumToNoop_CUDA
2022-11-23T03:26:19.1720153Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1720337Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1720594Z [  SKIPPED ] NVFuserTest.FusionSumToNoop_CUDA (0 ms)
2022-11-23T03:26:19.1720864Z [ RUN      ] NVFuserTest.FusionReductionScheduler_CUDA
2022-11-23T03:26:19.1721057Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1721246Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1721539Z [  SKIPPED ] NVFuserTest.FusionReductionScheduler_CUDA (0 ms)
2022-11-23T03:26:19.1721853Z [ RUN      ] NVFuserTest.FusionReductionWithTrivialReduction_CUDA
2022-11-23T03:26:19.1722063Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1722245Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1722588Z [  SKIPPED ] NVFuserTest.FusionReductionWithTrivialReduction_CUDA (0 ms)
2022-11-23T03:26:19.1722959Z [ RUN      ] NVFuserTest.FusionSymbolicReduction_CUDA
2022-11-23T03:26:19.1723168Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1723352Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1723641Z [  SKIPPED ] NVFuserTest.FusionSymbolicReduction_CUDA (0 ms)
2022-11-23T03:26:19.1723992Z [ RUN      ] NVFuserTest.FusionReductionSchedulerMultiDimNonFastest_CUDA
2022-11-23T03:26:19.1724197Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1724383Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1724754Z [  SKIPPED ] NVFuserTest.FusionReductionSchedulerMultiDimNonFastest_CUDA (0 ms)
2022-11-23T03:26:19.1725067Z [ RUN      ] NVFuserTest.FusionReductionSchedulerMultiDimFastest_CUDA
2022-11-23T03:26:19.1725278Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1725466Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1725822Z [  SKIPPED ] NVFuserTest.FusionReductionSchedulerMultiDimFastest_CUDA (0 ms)
2022-11-23T03:26:19.1726134Z [ RUN      ] NVFuserTest.FusionReductionSchedulerNoODimShmoo_CUDA
2022-11-23T03:26:19.1726400Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1726724Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1727077Z [  SKIPPED ] NVFuserTest.FusionReductionSchedulerNoODimShmoo_CUDA (0 ms)
2022-11-23T03:26:19.1727363Z [ RUN      ] NVFuserTest.FusionReductionSchedulerDimShmoo_CUDA
2022-11-23T03:26:19.1727571Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1727754Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1728087Z [  SKIPPED ] NVFuserTest.FusionReductionSchedulerDimShmoo_CUDA (0 ms)
2022-11-23T03:26:19.1728328Z [ RUN      ] NVFuserTest.FusionCacheBefore_CUDA
2022-11-23T03:26:19.1728538Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1728722Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1728990Z [  SKIPPED ] NVFuserTest.FusionCacheBefore_CUDA (0 ms)
2022-11-23T03:26:19.1729212Z [ RUN      ] NVFuserTest.FusionCacheAfter_CUDA
2022-11-23T03:26:19.1729422Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1729605Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1729867Z [  SKIPPED ] NVFuserTest.FusionCacheAfter_CUDA (0 ms)
2022-11-23T03:26:19.1730103Z [ RUN      ] NVFuserTest.FusionCacheFork_CUDA
2022-11-23T03:26:19.1730312Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1730496Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1730737Z [  SKIPPED ] NVFuserTest.FusionCacheFork_CUDA (0 ms)
2022-11-23T03:26:19.1730994Z [ RUN      ] NVFuserTest.FusionCacheIndirect_CUDA
2022-11-23T03:26:19.1731201Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1731386Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1731656Z [  SKIPPED ] NVFuserTest.FusionCacheIndirect_CUDA (0 ms)
2022-11-23T03:26:19.1731897Z [ RUN      ] NVFuserTest.FusionCacheBcast_CUDA
2022-11-23T03:26:19.1732102Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1732289Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1732529Z [  SKIPPED ] NVFuserTest.FusionCacheBcast_CUDA (0 ms)
2022-11-23T03:26:19.1732798Z [ RUN      ] NVFuserTest.FusionCacheMultiConsumer_CUDA
2022-11-23T03:26:19.1733010Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1733196Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1733583Z [  SKIPPED ] NVFuserTest.FusionCacheMultiConsumer_CUDA (0 ms)
2022-11-23T03:26:19.1733801Z [ RUN      ] NVFuserTest.FusionSmem_CUDA
2022-11-23T03:26:19.1734006Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1734169Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1734411Z [  SKIPPED ] NVFuserTest.FusionSmem_CUDA (0 ms)
2022-11-23T03:26:19.1734655Z [ RUN      ] NVFuserTest.FusionSmemReduce_CUDA
2022-11-23T03:26:19.1734861Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1735048Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1735307Z [  SKIPPED ] NVFuserTest.FusionSmemReduce_CUDA (0 ms)
2022-11-23T03:26:19.1735630Z [ RUN      ] NVFuserTest.FusionSmemBlockGemm_CUDA
2022-11-23T03:26:19.1735839Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1736009Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1736839Z [  SKIPPED ] NVFuserTest.FusionSmemBlockGemm_CUDA (0 ms)
2022-11-23T03:26:19.1737118Z [ RUN      ] NVFuserTest.FusionSmemBlockGemmCache_CUDA
2022-11-23T03:26:19.1737324Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1737510Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1737962Z [  SKIPPED ] NVFuserTest.FusionSmemBlockGemmCache_CUDA (0 ms)
2022-11-23T03:26:19.1738311Z [ RUN      ] NVFuserTest.FusionSmemDynamicPersistentSoftmax2D_CUDA
2022-11-23T03:26:19.1738522Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1738688Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1739031Z [  SKIPPED ] NVFuserTest.FusionSmemDynamicPersistentSoftmax2D_CUDA (0 ms)
2022-11-23T03:26:19.1739321Z [ RUN      ] NVFuserTest.FusionMagicSchedulerSoftmax_CUDA
2022-11-23T03:26:19.1739529Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1739718Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1740023Z [  SKIPPED ] NVFuserTest.FusionMagicSchedulerSoftmax_CUDA (0 ms)
2022-11-23T03:26:19.1740282Z [ RUN      ] NVFuserTest.FusionTestMaskSoftmax_CUDA
2022-11-23T03:26:19.1740473Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1740663Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1740941Z [  SKIPPED ] NVFuserTest.FusionTestMaskSoftmax_CUDA (0 ms)
2022-11-23T03:26:19.1741268Z [ RUN      ] NVFuserTest.FusionMagicSchedulerLayerNormBackward_CUDA
2022-11-23T03:26:19.1741476Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1741658Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1742008Z [  SKIPPED ] NVFuserTest.FusionMagicSchedulerLayerNormBackward_CUDA (0 ms)
2022-11-23T03:26:19.1742328Z [ RUN      ] NVFuserTest.FusionMagicSchedulerRMSNormBackward_CUDA
2022-11-23T03:26:19.1742518Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1742701Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1743041Z [  SKIPPED ] NVFuserTest.FusionMagicSchedulerRMSNormBackward_CUDA (0 ms)
2022-11-23T03:26:19.1743378Z [ RUN      ] NVFuserTest.FusionMagicSchedulerLayerNormalization_CUDA
2022-11-23T03:26:19.1743584Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1743768Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1744116Z [  SKIPPED ] NVFuserTest.FusionMagicSchedulerLayerNormalization_CUDA (0 ms)
2022-11-23T03:26:19.1744435Z [ RUN      ] NVFuserTest.FusionMagicSchedulerRMSNormalization_CUDA
2022-11-23T03:26:19.1744622Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1744905Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1745251Z [  SKIPPED ] NVFuserTest.FusionMagicSchedulerRMSNormalization_CUDA (0 ms)
2022-11-23T03:26:19.1745581Z [ RUN      ] NVFuserTest.FusionMagicSchedulerBatchNormalization_CUDA
2022-11-23T03:26:19.1745793Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1745976Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1746325Z [  SKIPPED ] NVFuserTest.FusionMagicSchedulerBatchNormalization_CUDA (0 ms)
2022-11-23T03:26:19.1746671Z [ RUN      ] NVFuserTest.FusionMagicSchedulerInstanceNormalization_CUDA
2022-11-23T03:26:19.1746859Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1747042Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1747404Z [  SKIPPED ] NVFuserTest.FusionMagicSchedulerInstanceNormalization_CUDA (0 ms)
2022-11-23T03:26:19.1747780Z [ RUN      ] NVFuserTest.FusionMagicSchedulerInstanceNormalizationBackward_CUDA
2022-11-23T03:26:19.1747993Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1748176Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1748588Z [  SKIPPED ] NVFuserTest.FusionMagicSchedulerInstanceNormalizationBackward_CUDA (0 ms)
2022-11-23T03:26:19.1748962Z [ RUN      ] NVFuserTest.FusionPersistentSoftmaxLocalShared_CUDA
2022-11-23T03:26:19.1749157Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1749346Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1749679Z [  SKIPPED ] NVFuserTest.FusionPersistentSoftmaxLocalShared_CUDA (0 ms)
2022-11-23T03:26:19.1749975Z [ RUN      ] NVFuserTest.FusionPersistentNormLocalShared_CUDA
2022-11-23T03:26:19.1750183Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1750368Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1750694Z [  SKIPPED ] NVFuserTest.FusionPersistentNormLocalShared_CUDA (0 ms)
2022-11-23T03:26:19.1750976Z [ RUN      ] NVFuserTest.FusionSmemDynamicPersistentNorm_CUDA
2022-11-23T03:26:19.1751188Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1751371Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1751698Z [  SKIPPED ] NVFuserTest.FusionSmemDynamicPersistentNorm_CUDA (0 ms)
2022-11-23T03:26:19.1752011Z [ RUN      ] NVFuserTest.FusionSmemDynamicReductionSymbolic_CUDA
2022-11-23T03:26:19.1752214Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1752398Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1752727Z [  SKIPPED ] NVFuserTest.FusionSmemDynamicReductionSymbolic_CUDA (0 ms)
2022-11-23T03:26:19.1753033Z [ RUN      ] NVFuserTest.FusionSmemDynamicReductionSymbolicArg_CUDA
2022-11-23T03:26:19.1753242Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1753424Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1753775Z [  SKIPPED ] NVFuserTest.FusionSmemDynamicReductionSymbolicArg_CUDA (0 ms)
2022-11-23T03:26:19.1754111Z [ RUN      ] NVFuserTest.FusionSmemDynamicPwiseMulSymbolicArgWAR_CUDA
2022-11-23T03:26:19.1754326Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1754511Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1754870Z [  SKIPPED ] NVFuserTest.FusionSmemDynamicPwiseMulSymbolicArgWAR_CUDA (0 ms)
2022-11-23T03:26:19.1755138Z [ RUN      ] NVFuserTest.FusionSmemDynamicTiledGemm_CUDA
2022-11-23T03:26:19.1755349Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1755534Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1755832Z [  SKIPPED ] NVFuserTest.FusionSmemDynamicTiledGemm_CUDA (0 ms)
2022-11-23T03:26:19.1756175Z [ RUN      ] NVFuserTest.FusionGlobalIntermediate_CUDA
2022-11-23T03:26:19.1756377Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1756561Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1756851Z [  SKIPPED ] NVFuserTest.FusionGlobalIntermediate_CUDA (0 ms)
2022-11-23T03:26:19.1757168Z [ RUN      ] NVFuserTest.FusionGlobalIntermediateDefaultSchedule_CUDA
2022-11-23T03:26:19.1757377Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1757562Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1757920Z [  SKIPPED ] NVFuserTest.FusionGlobalIntermediateDefaultSchedule_CUDA (0 ms)
2022-11-23T03:26:19.1758159Z [ RUN      ] NVFuserTest.FusionConstCheck_CUDA
2022-11-23T03:26:19.1758369Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1758558Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1758819Z [  SKIPPED ] NVFuserTest.FusionConstCheck_CUDA (0 ms)
2022-11-23T03:26:19.1759061Z [ RUN      ] NVFuserTest.FusionUnrollWithAlloc_CUDA
2022-11-23T03:26:19.1759263Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1759448Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1759799Z [  SKIPPED ] NVFuserTest.FusionUnrollWithAlloc_CUDA (0 ms)
2022-11-23T03:26:19.1760049Z [ RUN      ] NVFuserTest.FusionIsZeroInt_CUDA
2022-11-23T03:26:19.1760254Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1760441Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1760680Z [  SKIPPED ] NVFuserTest.FusionIsZeroInt_CUDA (0 ms)
2022-11-23T03:26:19.1760913Z [ RUN      ] NVFuserTest.FusionIsOneInt_CUDA
2022-11-23T03:26:19.1761121Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1761312Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1761569Z [  SKIPPED ] NVFuserTest.FusionIsOneInt_CUDA (0 ms)
2022-11-23T03:26:19.1761889Z [ RUN      ] NVFuserTest.FusionComputeAtNonterminatingOutput_CUDA
2022-11-23T03:26:19.1762098Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1762284Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1762607Z [  SKIPPED ] NVFuserTest.FusionComputeAtNonterminatingOutput_CUDA (0 ms)
2022-11-23T03:26:19.1762865Z [ RUN      ] NVFuserTest.FusionTraversalOrder1_CUDA
2022-11-23T03:26:19.1763073Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1763258Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1763543Z [  SKIPPED ] NVFuserTest.FusionTraversalOrder1_CUDA (0 ms)
2022-11-23T03:26:19.1763807Z [ RUN      ] NVFuserTest.FusionTraversalOrder2_CUDA
2022-11-23T03:26:19.1764019Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1766516Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1766780Z [  SKIPPED ] NVFuserTest.FusionTraversalOrder2_CUDA (0 ms)
2022-11-23T03:26:19.1767033Z [ RUN      ] NVFuserTest.FusionTraversalOrder3_CUDA
2022-11-23T03:26:19.1767244Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1767426Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1767706Z [  SKIPPED ] NVFuserTest.FusionTraversalOrder3_CUDA (0 ms)
2022-11-23T03:26:19.1767963Z [ RUN      ] NVFuserTest.FusionTraversalOrder4_CUDA
2022-11-23T03:26:19.1768170Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1768335Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1768615Z [  SKIPPED ] NVFuserTest.FusionTraversalOrder4_CUDA (0 ms)
2022-11-23T03:26:19.1768978Z [ RUN      ] NVFuserTest.FusionTraversalOrder5_CUDA
2022-11-23T03:26:19.1769183Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1769364Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1769642Z [  SKIPPED ] NVFuserTest.FusionTraversalOrder5_CUDA (0 ms)
2022-11-23T03:26:19.1769900Z [ RUN      ] NVFuserTest.FusionTraversalOrder6_CUDA
2022-11-23T03:26:19.1770105Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1770269Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1770546Z [  SKIPPED ] NVFuserTest.FusionTraversalOrder6_CUDA (0 ms)
2022-11-23T03:26:19.1770804Z [ RUN      ] NVFuserTest.FusionTraversalOrder7_CUDA
2022-11-23T03:26:19.1771007Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1771189Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1771475Z [  SKIPPED ] NVFuserTest.FusionTraversalOrder7_CUDA (0 ms)
2022-11-23T03:26:19.1771733Z [ RUN      ] NVFuserTest.FusionThreadPredicate_CUDA
2022-11-23T03:26:19.1771941Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1772106Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1772439Z [  SKIPPED ] NVFuserTest.FusionThreadPredicate_CUDA (0 ms)
2022-11-23T03:26:19.1772682Z [ RUN      ] NVFuserTest.FusionLSTMCell_CUDA
2022-11-23T03:26:19.1772885Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1773069Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1773320Z [  SKIPPED ] NVFuserTest.FusionLSTMCell_CUDA (0 ms)
2022-11-23T03:26:19.1773573Z [ RUN      ] NVFuserTest.FusionReductionHalf_CUDA
2022-11-23T03:26:19.1773761Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1773952Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1774222Z [  SKIPPED ] NVFuserTest.FusionReductionHalf_CUDA (0 ms)
2022-11-23T03:26:19.1774466Z [ RUN      ] NVFuserTest.FusionReduceSingle_CUDA
2022-11-23T03:26:19.1774669Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1774852Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1775121Z [  SKIPPED ] NVFuserTest.FusionReduceSingle_CUDA (0 ms)
2022-11-23T03:26:19.1775412Z [ RUN      ] NVFuserTest.FusionReduceImplicitBroadcast_CUDA
2022-11-23T03:26:19.1775600Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1775784Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1776534Z [  SKIPPED ] NVFuserTest.FusionReduceImplicitBroadcast_CUDA (0 ms)
2022-11-23T03:26:19.1776848Z [ RUN      ] NVFuserTest.FusionReduceImplicitBroadcast2_CUDA
2022-11-23T03:26:19.1777055Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1777250Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1777564Z [  SKIPPED ] NVFuserTest.FusionReduceImplicitBroadcast2_CUDA (0 ms)
2022-11-23T03:26:19.1777860Z [ RUN      ] NVFuserTest.FusionReduceImplicitBroadcast3_CUDA
2022-11-23T03:26:19.1778052Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1778234Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1778550Z [  SKIPPED ] NVFuserTest.FusionReduceImplicitBroadcast3_CUDA (0 ms)
2022-11-23T03:26:19.1778811Z [ RUN      ] NVFuserTest.FusionTrivialReduction_CUDA
2022-11-23T03:26:19.1779013Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1779194Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1779473Z [  SKIPPED ] NVFuserTest.FusionTrivialReduction_CUDA (0 ms)
2022-11-23T03:26:19.1779888Z [ RUN      ] NVFuserTest.FusionTrivialReduction2_CUDA
2022-11-23T03:26:19.1780094Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1780275Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1780563Z [  SKIPPED ] NVFuserTest.FusionTrivialReduction2_CUDA (0 ms)
2022-11-23T03:26:19.1780831Z [ RUN      ] NVFuserTest.FusionTrivialReduction3_CUDA
2022-11-23T03:26:19.1781038Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1781221Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1781507Z [  SKIPPED ] NVFuserTest.FusionTrivialReduction3_CUDA (0 ms)
2022-11-23T03:26:19.1781778Z [ RUN      ] NVFuserTest.FusionDetectTrivialReduction1_CUDA
2022-11-23T03:26:19.1781986Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1782169Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1782479Z [  SKIPPED ] NVFuserTest.FusionDetectTrivialReduction1_CUDA (0 ms)
2022-11-23T03:26:19.1782774Z [ RUN      ] NVFuserTest.FusionDetectTrivialReduction2_CUDA
2022-11-23T03:26:19.1782977Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1783159Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1783543Z [  SKIPPED ] NVFuserTest.FusionDetectTrivialReduction2_CUDA (0 ms)
2022-11-23T03:26:19.1783795Z [ RUN      ] NVFuserTest.FusionInputsIdLookup_CUDA
2022-11-23T03:26:19.1784000Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1784181Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1784459Z [  SKIPPED ] NVFuserTest.FusionInputsIdLookup_CUDA (0 ms)
2022-11-23T03:26:19.1784748Z [ RUN      ] NVFuserTest.FusionGroupGuardSimpleTensor_CUDA
2022-11-23T03:26:19.1784953Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1785142Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1785435Z [  SKIPPED ] NVFuserTest.FusionGroupGuardSimpleTensor_CUDA (0 ms)
2022-11-23T03:26:19.1785737Z [ RUN      ] NVFuserTest.FusionGroupGuardBroadcastTensor_CUDA
2022-11-23T03:26:19.1785942Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1786130Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1786457Z [  SKIPPED ] NVFuserTest.FusionGroupGuardBroadcastTensor_CUDA (0 ms)
2022-11-23T03:26:19.1786752Z [ RUN      ] NVFuserTest.FusionGroupGuardPermutedTensor_CUDA
2022-11-23T03:26:19.1786956Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1787142Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1787441Z [  SKIPPED ] NVFuserTest.FusionGroupGuardPermutedTensor_CUDA (0 ms)
2022-11-23T03:26:19.1787729Z [ RUN      ] NVFuserTest.FusionGroupGuardRelaxedCheck_CUDA
2022-11-23T03:26:19.1787938Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1788119Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1788447Z [  SKIPPED ] NVFuserTest.FusionGroupGuardRelaxedCheck_CUDA (0 ms)
2022-11-23T03:26:19.1788690Z [ RUN      ] NVFuserTest.FusionDisjointSet_CUDA
2022-11-23T03:26:19.1788898Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1789083Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1789329Z [  SKIPPED ] NVFuserTest.FusionDisjointSet_CUDA (0 ms)
2022-11-23T03:26:19.1789612Z [ RUN      ] NVFuserTest.FusionNonUniqueBroadcastSize_CUDA
2022-11-23T03:26:19.1789817Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1789998Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1790305Z [  SKIPPED ] NVFuserTest.FusionNonUniqueBroadcastSize_CUDA (0 ms)
2022-11-23T03:26:19.1790611Z [ RUN      ] NVFuserTest.FusionBiasGeluFwd_CUDA
2022-11-23T03:26:19.1790816Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1790980Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1791242Z [  SKIPPED ] NVFuserTest.FusionBiasGeluFwd_CUDA (0 ms)
2022-11-23T03:26:19.1791488Z [ RUN      ] NVFuserTest.FusionBiasGeluBwd_CUDA
2022-11-23T03:26:19.1791695Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1791877Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1792140Z [  SKIPPED ] NVFuserTest.FusionBiasGeluBwd_CUDA (0 ms)
2022-11-23T03:26:19.1792380Z [ RUN      ] NVFuserTest.FusionIssue459_CUDA
2022-11-23T03:26:19.1792586Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1792751Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1793008Z [  SKIPPED ] NVFuserTest.FusionIssue459_CUDA (0 ms)
2022-11-23T03:26:19.1793279Z [ RUN      ] NVFuserTest.FusionSmemIndexingSimple_CUDA
2022-11-23T03:26:19.1793485Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1793666Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1794015Z [  SKIPPED ] NVFuserTest.FusionSmemIndexingSimple_CUDA (0 ms)
2022-11-23T03:26:19.1794272Z [ RUN      ] NVFuserTest.FusionSmemIndexing_CUDA
2022-11-23T03:26:19.1794477Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1794642Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1794904Z [  SKIPPED ] NVFuserTest.FusionSmemIndexing_CUDA (0 ms)
2022-11-23T03:26:19.1795178Z [ RUN      ] NVFuserTest.FusionCacheBeforeReduction_CUDA
2022-11-23T03:26:19.1795384Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1795576Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1795875Z [  SKIPPED ] NVFuserTest.FusionCacheBeforeReduction_CUDA (0 ms)
2022-11-23T03:26:19.1796153Z [ RUN      ] NVFuserTest.FusionCacheBeforeReduction2_CUDA
2022-11-23T03:26:19.1796338Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1796528Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1796829Z [  SKIPPED ] NVFuserTest.FusionCacheBeforeReduction2_CUDA (0 ms)
2022-11-23T03:26:19.1797064Z [ RUN      ] NVFuserTest.FusionIssue367_CUDA
2022-11-23T03:26:19.1797271Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1797455Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1797706Z [  SKIPPED ] NVFuserTest.FusionIssue367_CUDA (0 ms)
2022-11-23T03:26:19.1797935Z [ RUN      ] NVFuserTest.FusionIssue468_CUDA
2022-11-23T03:26:19.1798120Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1798308Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1798568Z [  SKIPPED ] NVFuserTest.FusionIssue468_CUDA (0 ms)
2022-11-23T03:26:19.1798796Z [ RUN      ] NVFuserTest.FusionIssue363_CUDA
2022-11-23T03:26:19.1798998Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1799189Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1799440Z [  SKIPPED ] NVFuserTest.FusionIssue363_CUDA (0 ms)
2022-11-23T03:26:19.1799647Z [ RUN      ] NVFuserTest.FusionIssue484_CUDA
2022-11-23T03:26:19.1799858Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1800041Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1800289Z [  SKIPPED ] NVFuserTest.FusionIssue484_CUDA (0 ms)
2022-11-23T03:26:19.1800519Z [ RUN      ] NVFuserTest.FusionIssue329_CUDA
2022-11-23T03:26:19.1800814Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1800998Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1801249Z [  SKIPPED ] NVFuserTest.FusionIssue329_CUDA (0 ms)
2022-11-23T03:26:19.1801460Z [ RUN      ] NVFuserTest.FusionIssue382_CUDA
2022-11-23T03:26:19.1801672Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1801856Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1802109Z [  SKIPPED ] NVFuserTest.FusionIssue382_CUDA (0 ms)
2022-11-23T03:26:19.1802337Z [ RUN      ] NVFuserTest.FusionIssue507_CUDA
2022-11-23T03:26:19.1802545Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1802728Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1802961Z [  SKIPPED ] NVFuserTest.FusionIssue507_CUDA (0 ms)
2022-11-23T03:26:19.1803190Z [ RUN      ] NVFuserTest.FusionIssue532_CUDA
2022-11-23T03:26:19.1803401Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1803582Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1803830Z [  SKIPPED ] NVFuserTest.FusionIssue532_CUDA (0 ms)
2022-11-23T03:26:19.1804076Z [ RUN      ] NVFuserTest.FusionLoopUnswitch_CUDA
2022-11-23T03:26:19.1804339Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1804533Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1804783Z [  SKIPPED ] NVFuserTest.FusionLoopUnswitch_CUDA (0 ms)
2022-11-23T03:26:19.1805013Z [ RUN      ] NVFuserTest.FusionIssue549_CUDA
2022-11-23T03:26:19.1805217Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1805397Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1805648Z [  SKIPPED ] NVFuserTest.FusionIssue549_CUDA (0 ms)
2022-11-23T03:26:19.1805920Z [ RUN      ] NVFuserTest.FusionSimpleCompileRtc_CUDA
2022-11-23T03:26:19.1806122Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1806304Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1806571Z [  SKIPPED ] NVFuserTest.FusionSimpleCompileRtc_CUDA (0 ms)
2022-11-23T03:26:19.1806822Z [ RUN      ] NVFuserTest.FusionSerialWelford_CUDA
2022-11-23T03:26:19.1807026Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1807210Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1807486Z [  SKIPPED ] NVFuserTest.FusionSerialWelford_CUDA (0 ms)
2022-11-23T03:26:19.1807734Z [ RUN      ] NVFuserTest.FusionBlockWelford_CUDA
2022-11-23T03:26:19.1807941Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1808105Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1808374Z [  SKIPPED ] NVFuserTest.FusionBlockWelford_CUDA (0 ms)
2022-11-23T03:26:19.1808647Z [ RUN      ] NVFuserTest.FusionBlockWelfordNoInit_CUDA
2022-11-23T03:26:19.1808853Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1809038Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1809331Z [  SKIPPED ] NVFuserTest.FusionBlockWelfordNoInit_CUDA (0 ms)
2022-11-23T03:26:19.1809600Z [ RUN      ] NVFuserTest.FusionGridWelfordNoInit_CUDA
2022-11-23T03:26:19.1809808Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1809975Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1810269Z [  SKIPPED ] NVFuserTest.FusionGridWelfordNoInit_CUDA (0 ms)
2022-11-23T03:26:19.1810510Z [ RUN      ] NVFuserTest.FusionWelfordOp_CUDA
2022-11-23T03:26:19.1810713Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1810899Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1811235Z [  SKIPPED ] NVFuserTest.FusionWelfordOp_CUDA (0 ms)
2022-11-23T03:26:19.1811489Z [ RUN      ] NVFuserTest.FusionBlockWelfordOp_CUDA
2022-11-23T03:26:19.1811675Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1811860Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1812144Z [  SKIPPED ] NVFuserTest.FusionBlockWelfordOp_CUDA (0 ms)
2022-11-23T03:26:19.1812401Z [ RUN      ] NVFuserTest.FusionGridWelfordOp_CUDA
2022-11-23T03:26:19.1812606Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1812789Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1813057Z [  SKIPPED ] NVFuserTest.FusionGridWelfordOp_CUDA (0 ms)
2022-11-23T03:26:19.1813327Z [ RUN      ] NVFuserTest.FusionRfactorWelfordOp_CUDA
2022-11-23T03:26:19.1813513Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1813703Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1813988Z [  SKIPPED ] NVFuserTest.FusionRfactorWelfordOp_CUDA (0 ms)
2022-11-23T03:26:19.1814244Z [ RUN      ] NVFuserTest.FusionWelfordSchedule_CUDA
2022-11-23T03:26:19.1814448Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1814695Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1814985Z [  SKIPPED ] NVFuserTest.FusionWelfordSchedule_CUDA (0 ms)
2022-11-23T03:26:19.1815230Z [ RUN      ] NVFuserTest.FusionWelfordShmoo_CUDA
2022-11-23T03:26:19.1815417Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1815603Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1815869Z [  SKIPPED ] NVFuserTest.FusionWelfordShmoo_CUDA (0 ms)
2022-11-23T03:26:19.1816501Z [ RUN      ] NVFuserTest.FusionVarMean_CUDA
2022-11-23T03:26:19.1816730Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1816924Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1817178Z [  SKIPPED ] NVFuserTest.FusionVarMean_CUDA (0 ms)
2022-11-23T03:26:19.1817438Z [ RUN      ] NVFuserTest.FusionSimpleGemmTransposed_CUDA
2022-11-23T03:26:19.1817650Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1817836Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1818137Z [  SKIPPED ] NVFuserTest.FusionSimpleGemmTransposed_CUDA (0 ms)
2022-11-23T03:26:19.1818415Z [ RUN      ] NVFuserTest.FusionSoftmax3DTransposed_CUDA
2022-11-23T03:26:19.1818617Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1818804Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1819104Z [  SKIPPED ] NVFuserTest.FusionSoftmax3DTransposed_CUDA (0 ms)
2022-11-23T03:26:19.1819408Z [ RUN      ] NVFuserTest.FusionAdvancedComputeAtTransposed1_CUDA
2022-11-23T03:26:19.1819616Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1819800Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1820139Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAtTransposed1_CUDA (0 ms)
2022-11-23T03:26:19.1820461Z [ RUN      ] NVFuserTest.FusionAdvancedComputeAtTransposed2_CUDA
2022-11-23T03:26:19.1820667Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1820853Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1821189Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAtTransposed2_CUDA (0 ms)
2022-11-23T03:26:19.1821480Z [ RUN      ] NVFuserTest.FusionAdvancedComputeAtTransposed3_CUDA
2022-11-23T03:26:19.1821681Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1821866Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1822367Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAtTransposed3_CUDA (0 ms)
2022-11-23T03:26:19.1822683Z [ RUN      ] NVFuserTest.FusionAdvancedComputeAtTransposed4_CUDA
2022-11-23T03:26:19.1822884Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1823066Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1823380Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAtTransposed4_CUDA (0 ms)
2022-11-23T03:26:19.1823692Z [ RUN      ] NVFuserTest.FusionAdvancedComputeAtTransposed5_CUDA
2022-11-23T03:26:19.1823891Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1824074Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1824402Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAtTransposed5_CUDA (0 ms)
2022-11-23T03:26:19.1824711Z [ RUN      ] NVFuserTest.FusionAdvancedComputeAtTransposed6_CUDA
2022-11-23T03:26:19.1824916Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1825096Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1825405Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAtTransposed6_CUDA (0 ms)
2022-11-23T03:26:19.1825699Z [ RUN      ] NVFuserTest.FusionSegmentReducePointwise_CUDA
2022-11-23T03:26:19.1825972Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1826171Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1826482Z [  SKIPPED ] NVFuserTest.FusionSegmentReducePointwise_CUDA (0 ms)
2022-11-23T03:26:19.1826748Z [ RUN      ] NVFuserTest.FusionMultipleVectorize_CUDA
2022-11-23T03:26:19.1826952Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1827134Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1827408Z [  SKIPPED ] NVFuserTest.FusionMultipleVectorize_CUDA (0 ms)
2022-11-23T03:26:19.1827675Z [ RUN      ] NVFuserTest.FusionVectorizeSimple_CUDA
2022-11-23T03:26:19.1827880Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1828068Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1828350Z [  SKIPPED ] NVFuserTest.FusionVectorizeSimple_CUDA (0 ms)
2022-11-23T03:26:19.1828638Z [ RUN      ] NVFuserTest.FusionSimpleVectorizeUnroll_CUDA
2022-11-23T03:26:19.1828845Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1829028Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1829317Z [  SKIPPED ] NVFuserTest.FusionSimpleVectorizeUnroll_CUDA (0 ms)
2022-11-23T03:26:19.1829595Z [ RUN      ] NVFuserTest.FusionSegmentReduceSoftmax_CUDA
2022-11-23T03:26:19.1829799Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1829982Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1830288Z [  SKIPPED ] NVFuserTest.FusionSegmentReduceSoftmax_CUDA (0 ms)
2022-11-23T03:26:19.1830518Z [ RUN      ] NVFuserTest.FusionSwizzle1_CUDA
2022-11-23T03:26:19.1830724Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1830889Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1831147Z [  SKIPPED ] NVFuserTest.FusionSwizzle1_CUDA (0 ms)
2022-11-23T03:26:19.1831376Z [ RUN      ] NVFuserTest.FusionSwizzle2_CUDA
2022-11-23T03:26:19.1831583Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1831764Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1832018Z [  SKIPPED ] NVFuserTest.FusionSwizzle2_CUDA (0 ms)
2022-11-23T03:26:19.1832274Z [ RUN      ] NVFuserTest.FusionGridPersistence_CUDA
2022-11-23T03:26:19.1832482Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1832719Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1833005Z [  SKIPPED ] NVFuserTest.FusionGridPersistence_CUDA (0 ms)
2022-11-23T03:26:19.1833271Z [ RUN      ] NVFuserTest.FusionGridPersistence2_CUDA
2022-11-23T03:26:19.1833474Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1833662Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1833950Z [  SKIPPED ] NVFuserTest.FusionGridPersistence2_CUDA (0 ms)
2022-11-23T03:26:19.1834218Z [ RUN      ] NVFuserTest.FusionWelfordPersistence_CUDA
2022-11-23T03:26:19.1834423Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1834588Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1834883Z [  SKIPPED ] NVFuserTest.FusionWelfordPersistence_CUDA (0 ms)
2022-11-23T03:26:19.1835159Z [ RUN      ] NVFuserTest.FusionWelfordPersistence2_CUDA
2022-11-23T03:26:19.1835371Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1835621Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1835923Z [  SKIPPED ] NVFuserTest.FusionWelfordPersistence2_CUDA (0 ms)
2022-11-23T03:26:19.1836155Z [ RUN      ] NVFuserTest.FusionIssue633_CUDA
2022-11-23T03:26:19.1836404Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1836600Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1836859Z [  SKIPPED ] NVFuserTest.FusionIssue633_CUDA (0 ms)
2022-11-23T03:26:19.1837157Z [ RUN      ] NVFuserTest.FusionBroadcastAcrossComputeAt_CUDA
2022-11-23T03:26:19.1837366Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1837552Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1837874Z [  SKIPPED ] NVFuserTest.FusionBroadcastAcrossComputeAt_CUDA (0 ms)
2022-11-23T03:26:19.1838192Z [ RUN      ] NVFuserTest.FusionVectorizeMisalignedPointwise_CUDA
2022-11-23T03:26:19.1838379Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1838567Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1838906Z [  SKIPPED ] NVFuserTest.FusionVectorizeMisalignedPointwise_CUDA (0 ms)
2022-11-23T03:26:19.1839275Z [ RUN      ] NVFuserTest.FusionVectorizeMisalignedPointwiseMergeContig_CUDA
2022-11-23T03:26:19.1839486Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1839670Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1840057Z [  SKIPPED ] NVFuserTest.FusionVectorizeMisalignedPointwiseMergeContig_CUDA (0 ms)
2022-11-23T03:26:19.1840450Z [ RUN      ] NVFuserTest.FusionVectorizeMisalignedPointwiseMergeSymbolicPass_CUDA
2022-11-23T03:26:19.1840636Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1840831Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1841253Z [  SKIPPED ] NVFuserTest.FusionVectorizeMisalignedPointwiseMergeSymbolicPass_CUDA (0 ms)
2022-11-23T03:26:19.1841647Z [ RUN      ] NVFuserTest.FusionVectorizeMisalignedPointwiseMergeSymbolicFail_CUDA
2022-11-23T03:26:19.1841855Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1842047Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1842465Z [  SKIPPED ] NVFuserTest.FusionVectorizeMisalignedPointwiseMergeSymbolicFail_CUDA (0 ms)
2022-11-23T03:26:19.1842769Z [ RUN      ] NVFuserTest.FusionVectorizeMisalignedRFactor_CUDA
2022-11-23T03:26:19.1842953Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1843140Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1843475Z [  SKIPPED ] NVFuserTest.FusionVectorizeMisalignedRFactor_CUDA (0 ms)
2022-11-23T03:26:19.1843883Z [ RUN      ] NVFuserTest.FusionVectorizeMisalignedWrongDimFail_CUDA
2022-11-23T03:26:19.1844089Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1844276Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1844623Z [  SKIPPED ] NVFuserTest.FusionVectorizeMisalignedWrongDimFail_CUDA (0 ms)
2022-11-23T03:26:19.1844925Z [ RUN      ] NVFuserTest.FusionVectorizeMisalignedStride_CUDA
2022-11-23T03:26:19.1845107Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1845289Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1845610Z [  SKIPPED ] NVFuserTest.FusionVectorizeMisalignedStride_CUDA (0 ms)
2022-11-23T03:26:19.1845926Z [ RUN      ] NVFuserTest.FusionVectorizeMisalignedStrideFail_CUDA
2022-11-23T03:26:19.1846134Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1846315Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1846660Z [  SKIPPED ] NVFuserTest.FusionVectorizeMisalignedStrideFail_CUDA (0 ms)
2022-11-23T03:26:19.1846900Z [ RUN      ] NVFuserTest.FusionVectorization1_CUDA
2022-11-23T03:26:19.1847107Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1847294Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1847625Z [  SKIPPED ] NVFuserTest.FusionVectorization1_CUDA (0 ms)
2022-11-23T03:26:19.1847890Z [ RUN      ] NVFuserTest.FusionVectorization2_CUDA
2022-11-23T03:26:19.1848096Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1848283Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1848563Z [  SKIPPED ] NVFuserTest.FusionVectorization2_CUDA (0 ms)
2022-11-23T03:26:19.1848799Z [ RUN      ] NVFuserTest.FusionVectorization3_CUDA
2022-11-23T03:26:19.1849008Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1849201Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1849475Z [  SKIPPED ] NVFuserTest.FusionVectorization3_CUDA (0 ms)
2022-11-23T03:26:19.1849751Z [ RUN      ] NVFuserTest.FusionVectorizationRFactor_CUDA
2022-11-23T03:26:19.1849957Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1850163Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1850448Z [  SKIPPED ] NVFuserTest.FusionVectorizationRFactor_CUDA (0 ms)
2022-11-23T03:26:19.1850681Z [ RUN      ] NVFuserTest.FusionSizeOneLoop1_CUDA
2022-11-23T03:26:19.1850890Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1851078Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1851346Z [  SKIPPED ] NVFuserTest.FusionSizeOneLoop1_CUDA (0 ms)
2022-11-23T03:26:19.1851595Z [ RUN      ] NVFuserTest.FusionSizeOneLoop2_CUDA
2022-11-23T03:26:19.1851804Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1851990Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1852237Z [  SKIPPED ] NVFuserTest.FusionSizeOneLoop2_CUDA (0 ms)
2022-11-23T03:26:19.1852517Z [ RUN      ] NVFuserTest.FusionValidateParallelize1_CUDA
2022-11-23T03:26:19.1852724Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1852906Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1853210Z [  SKIPPED ] NVFuserTest.FusionValidateParallelize1_CUDA (0 ms)
2022-11-23T03:26:19.1853487Z [ RUN      ] NVFuserTest.FusionValidateParallelize2_CUDA
2022-11-23T03:26:19.1853693Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1853877Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1854163Z [  SKIPPED ] NVFuserTest.FusionValidateParallelize2_CUDA (0 ms)
2022-11-23T03:26:19.1854518Z [ RUN      ] NVFuserTest.FusionValidateParallelize3_CUDA
2022-11-23T03:26:19.1854723Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1854904Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1855202Z [  SKIPPED ] NVFuserTest.FusionValidateParallelize3_CUDA (0 ms)
2022-11-23T03:26:19.1855482Z [ RUN      ] NVFuserTest.FusionValidateParallelize4_CUDA
2022-11-23T03:26:19.1855684Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1855867Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1856467Z [  SKIPPED ] NVFuserTest.FusionValidateParallelize4_CUDA (0 ms)
2022-11-23T03:26:19.1856765Z [ RUN      ] NVFuserTest.FusionValidateParallelize5_CUDA
2022-11-23T03:26:19.1856971Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1857154Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1857457Z [  SKIPPED ] NVFuserTest.FusionValidateParallelize5_CUDA (0 ms)
2022-11-23T03:26:19.1857734Z [ RUN      ] NVFuserTest.FusionValidateParallelize6_CUDA
2022-11-23T03:26:19.1857941Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1858105Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1858525Z [  SKIPPED ] NVFuserTest.FusionValidateParallelize6_CUDA (0 ms)
2022-11-23T03:26:19.1858816Z [ RUN      ] NVFuserTest.FusionValidateParallelize7_CUDA
2022-11-23T03:26:19.1859018Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1859264Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1859557Z [  SKIPPED ] NVFuserTest.FusionValidateParallelize7_CUDA (0 ms)
2022-11-23T03:26:19.1859792Z [ RUN      ] NVFuserTest.FusionDAGMerging_CUDA
2022-11-23T03:26:19.1860000Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1860170Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1860431Z [  SKIPPED ] NVFuserTest.FusionDAGMerging_CUDA (0 ms)
2022-11-23T03:26:19.1860692Z [ RUN      ] NVFuserTest.FusionDAGScalarMerging_CUDA
2022-11-23T03:26:19.1860898Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1861085Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1861368Z [  SKIPPED ] NVFuserTest.FusionDAGScalarMerging_CUDA (0 ms)
2022-11-23T03:26:19.1861659Z [ RUN      ] NVFuserTest.FusionBlockReduceInSerialLoop_CUDA
2022-11-23T03:26:19.1861865Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1862030Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1862345Z [  SKIPPED ] NVFuserTest.FusionBlockReduceInSerialLoop_CUDA (0 ms)
2022-11-23T03:26:19.1862647Z [ RUN      ] NVFuserTest.FusionBlockWelfordInSerialLoop_CUDA
2022-11-23T03:26:19.1862860Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1863041Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1863359Z [  SKIPPED ] NVFuserTest.FusionBlockWelfordInSerialLoop_CUDA (0 ms)
2022-11-23T03:26:19.1863675Z [ RUN      ] NVFuserTest.FusionIOTensorTrivialReductionRepro_CUDA
2022-11-23T03:26:19.1863869Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1864055Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1864393Z [  SKIPPED ] NVFuserTest.FusionIOTensorTrivialReductionRepro_CUDA (0 ms)
2022-11-23T03:26:19.1864720Z [ RUN      ] NVFuserTest.FusionReductionPredicate_CUDA
2022-11-23T03:26:19.1864927Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1865113Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1865404Z [  SKIPPED ] NVFuserTest.FusionReductionPredicate_CUDA (0 ms)
2022-11-23T03:26:19.1865750Z [ RUN      ] NVFuserTest.FusionIssue728_CUDA
2022-11-23T03:26:19.1865942Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1866126Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1866375Z [  SKIPPED ] NVFuserTest.FusionIssue728_CUDA (0 ms)
2022-11-23T03:26:19.1866607Z [ RUN      ] NVFuserTest.FusionIssue757_CUDA
2022-11-23T03:26:19.1866815Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1866998Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1867246Z [  SKIPPED ] NVFuserTest.FusionIssue757_CUDA (0 ms)
2022-11-23T03:26:19.1867544Z [ RUN      ] NVFuserTest.FusionPredicatedBlockBroadcast_CUDA
2022-11-23T03:26:19.1867732Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1867914Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1868236Z [  SKIPPED ] NVFuserTest.FusionPredicatedBlockBroadcast_CUDA (0 ms)
2022-11-23T03:26:19.1868510Z [ RUN      ] NVFuserTest.FusionSegmentVerticalMerge_CUDA
2022-11-23T03:26:19.1868715Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1868899Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1869252Z [  SKIPPED ] NVFuserTest.FusionSegmentVerticalMerge_CUDA (0 ms)
2022-11-23T03:26:19.1869530Z [ RUN      ] NVFuserTest.FusionSegmentHorizontalMerge_CUDA
2022-11-23T03:26:19.1869734Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1869916Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1870218Z [  SKIPPED ] NVFuserTest.FusionSegmentHorizontalMerge_CUDA (0 ms)
2022-11-23T03:26:19.1870490Z [ RUN      ] NVFuserTest.FusionSegmentMixReduction_CUDA
2022-11-23T03:26:19.1870692Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1870877Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1871170Z [  SKIPPED ] NVFuserTest.FusionSegmentMixReduction_CUDA (0 ms)
2022-11-23T03:26:19.1871370Z [ RUN      ] NVFuserTest.FusionSBAR_CUDA
2022-11-23T03:26:19.1871575Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1871756Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1871996Z [  SKIPPED ] NVFuserTest.FusionSBAR_CUDA (0 ms)
2022-11-23T03:26:19.1872250Z [ RUN      ] NVFuserTest.FusionSingleElement_CUDA
2022-11-23T03:26:19.1872459Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1872642Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1872914Z [  SKIPPED ] NVFuserTest.FusionSingleElement_CUDA (0 ms)
2022-11-23T03:26:19.1873155Z [ RUN      ] NVFuserTest.FusionBNBackwardRepro_CUDA
2022-11-23T03:26:19.1873366Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1873549Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1873832Z [  SKIPPED ] NVFuserTest.FusionBNBackwardRepro_CUDA (0 ms)
2022-11-23T03:26:19.1874092Z [ RUN      ] NVFuserTest.FusionBNBackwardRepro2_CUDA
2022-11-23T03:26:19.1874303Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1874484Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1874751Z [  SKIPPED ] NVFuserTest.FusionBNBackwardRepro2_CUDA (0 ms)
2022-11-23T03:26:19.1874980Z [ RUN      ] NVFuserTest.FusionBNRepro_CUDA
2022-11-23T03:26:19.1875184Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1875363Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1875616Z [  SKIPPED ] NVFuserTest.FusionBNRepro_CUDA (0 ms)
2022-11-23T03:26:19.1875986Z [ RUN      ] NVFuserTest.FusionBNRepro2_CUDA
2022-11-23T03:26:19.1876192Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1876375Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1876609Z [  SKIPPED ] NVFuserTest.FusionBNRepro2_CUDA (0 ms)
2022-11-23T03:26:19.1876876Z [ RUN      ] NVFuserTest.FusionZeroSizeTensorPW_CUDA
2022-11-23T03:26:19.1877088Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1877271Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1877554Z [  SKIPPED ] NVFuserTest.FusionZeroSizeTensorPW_CUDA (0 ms)
2022-11-23T03:26:19.1877841Z [ RUN      ] NVFuserTest.FusionZeroSizeTensorReduction_CUDA
2022-11-23T03:26:19.1878044Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1878208Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1878520Z [  SKIPPED ] NVFuserTest.FusionZeroSizeTensorReduction_CUDA (0 ms)
2022-11-23T03:26:19.1878829Z [ RUN      ] NVFuserTest.FusionZeroSizeTensorNormalization_CUDA
2022-11-23T03:26:19.1879035Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1879223Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1879614Z [  SKIPPED ] NVFuserTest.FusionZeroSizeTensorNormalization_CUDA (0 ms)
2022-11-23T03:26:19.1879879Z [ RUN      ] NVFuserTest.FusionSegmentIoAlias_CUDA
2022-11-23T03:26:19.1880086Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1880249Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1880524Z [  SKIPPED ] NVFuserTest.FusionSegmentIoAlias_CUDA (0 ms)
2022-11-23T03:26:19.1880779Z [ RUN      ] NVFuserTest.FusionWelford1Output_CUDA
2022-11-23T03:26:19.1880982Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1881169Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1881448Z [  SKIPPED ] NVFuserTest.FusionWelford1Output_CUDA (0 ms)
2022-11-23T03:26:19.1881711Z [ RUN      ] NVFuserTest.FusionTranslate1Welford_CUDA
2022-11-23T03:26:19.1881913Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1882084Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1882371Z [  SKIPPED ] NVFuserTest.FusionTranslate1Welford_CUDA (0 ms)
2022-11-23T03:26:19.1882638Z [ RUN      ] NVFuserTest.FusionTranslate2Welford_CUDA
2022-11-23T03:26:19.1882842Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1883027Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1883321Z [  SKIPPED ] NVFuserTest.FusionTranslate2Welford_CUDA (0 ms)
2022-11-23T03:26:19.1883617Z [ RUN      ] NVFuserTest.FusionLargeWelfordNormalization_CUDA
2022-11-23T03:26:19.1883807Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1883990Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1884308Z [  SKIPPED ] NVFuserTest.FusionLargeWelfordNormalization_CUDA (0 ms)
2022-11-23T03:26:19.1884744Z [ RUN      ] NVFuserTest.FusionWelfordOuterPersistence_CUDA
2022-11-23T03:26:19.1884956Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1885140Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1885455Z [  SKIPPED ] NVFuserTest.FusionWelfordOuterPersistence_CUDA (0 ms)
2022-11-23T03:26:19.1885707Z [ RUN      ] NVFuserTest.FusionSegmentIslands_CUDA
2022-11-23T03:26:19.1885895Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1886079Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1886355Z [  SKIPPED ] NVFuserTest.FusionSegmentIslands_CUDA (0 ms)
2022-11-23T03:26:19.1886712Z [ RUN      ] NVFuserTest.FusionBackOffInnerBroadcast_CUDA
2022-11-23T03:26:19.1886919Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1887102Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1887408Z [  SKIPPED ] NVFuserTest.FusionBackOffInnerBroadcast_CUDA (0 ms)
2022-11-23T03:26:19.1887701Z [ RUN      ] NVFuserTest.FusionBackOffInnerBroadcast2_CUDA
2022-11-23T03:26:19.1887888Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1888074Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1888383Z [  SKIPPED ] NVFuserTest.FusionBackOffInnerBroadcast2_CUDA (0 ms)
2022-11-23T03:26:19.1888668Z [ RUN      ] NVFuserTest.FusionBackOffInnerBroadcast3_CUDA
2022-11-23T03:26:19.1888873Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1889059Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1889378Z [  SKIPPED ] NVFuserTest.FusionBackOffInnerBroadcast3_CUDA (0 ms)
2022-11-23T03:26:19.1889603Z [ RUN      ] NVFuserTest.FusionSimpleWarp_CUDA
2022-11-23T03:26:19.1889813Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1889995Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1890322Z [  SKIPPED ] NVFuserTest.FusionSimpleWarp_CUDA (0 ms)
2022-11-23T03:26:19.1890587Z [ RUN      ] NVFuserTest.FusionSimpleWarpPad_CUDA
2022-11-23T03:26:19.1890790Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1890972Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1891247Z [  SKIPPED ] NVFuserTest.FusionSimpleWarpPad_CUDA (0 ms)
2022-11-23T03:26:19.1891499Z [ RUN      ] NVFuserTest.FusionWarpPadMergeSplit_CUDA
2022-11-23T03:26:19.1891705Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1891893Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1892184Z [  SKIPPED ] NVFuserTest.FusionWarpPadMergeSplit_CUDA (0 ms)
2022-11-23T03:26:19.1892455Z [ RUN      ] NVFuserTest.FusionSerialWarpReduction_CUDA
2022-11-23T03:26:19.1892661Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1892849Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1893146Z [  SKIPPED ] NVFuserTest.FusionSerialWarpReduction_CUDA (0 ms)
2022-11-23T03:26:19.1893407Z [ RUN      ] NVFuserTest.FusionTrivialWarpReduction_CUDA
2022-11-23T03:26:19.1893612Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1893795Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1894091Z [  SKIPPED ] NVFuserTest.FusionTrivialWarpReduction_CUDA (0 ms)
2022-11-23T03:26:19.1894362Z [ RUN      ] NVFuserTest.FusionMultipleDimBinding_CUDA
2022-11-23T03:26:19.1894575Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1894759Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1895030Z [  SKIPPED ] NVFuserTest.FusionMultipleDimBinding_CUDA (0 ms)
2022-11-23T03:26:19.1895291Z [ RUN      ] NVFuserTest.FusionPadNoWarpReduce_CUDA
2022-11-23T03:26:19.1895501Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1895688Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1895972Z [  SKIPPED ] NVFuserTest.FusionPadNoWarpReduce_CUDA (0 ms)
2022-11-23T03:26:19.1896664Z [ RUN      ] NVFuserTest.FusionWarpMutipleThreadDim_CUDA
2022-11-23T03:26:19.1896873Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1897062Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1897344Z [  SKIPPED ] NVFuserTest.FusionWarpMutipleThreadDim_CUDA (0 ms)
2022-11-23T03:26:19.1897831Z [ RUN      ] NVFuserTest.FusionWarpReduceUnrollOuterLoop_CUDA
2022-11-23T03:26:19.1898036Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1898220Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1898544Z [  SKIPPED ] NVFuserTest.FusionWarpReduceUnrollOuterLoop_CUDA (0 ms)
2022-11-23T03:26:19.1898834Z [ RUN      ] NVFuserTest.FusionWarpReducePredication_CUDA
2022-11-23T03:26:19.1899043Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1899229Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1899516Z [  SKIPPED ] NVFuserTest.FusionWarpReducePredication_CUDA (0 ms)
2022-11-23T03:26:19.1899782Z [ RUN      ] NVFuserTest.FusionSegfaultReduction_CUDA
2022-11-23T03:26:19.1899988Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1900170Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1900462Z [  SKIPPED ] NVFuserTest.FusionSegfaultReduction_CUDA (0 ms)
2022-11-23T03:26:19.1900742Z [ RUN      ] NVFuserTest.FusionPredicateElimination1_CUDA
2022-11-23T03:26:19.1900943Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1901111Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1901492Z [  SKIPPED ] NVFuserTest.FusionPredicateElimination1_CUDA (0 ms)
2022-11-23T03:26:19.1901792Z [ RUN      ] NVFuserTest.FusionPredicateElimination2_CUDA
2022-11-23T03:26:19.1901997Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1902179Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1902486Z [  SKIPPED ] NVFuserTest.FusionPredicateElimination2_CUDA (0 ms)
2022-11-23T03:26:19.1902768Z [ RUN      ] NVFuserTest.FusionPredicateElimination3_CUDA
2022-11-23T03:26:19.1902976Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1903145Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1903451Z [  SKIPPED ] NVFuserTest.FusionPredicateElimination3_CUDA (0 ms)
2022-11-23T03:26:19.1903732Z [ RUN      ] NVFuserTest.FusionPredicateElimination4_CUDA
2022-11-23T03:26:19.1903946Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1904129Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1904435Z [  SKIPPED ] NVFuserTest.FusionPredicateElimination4_CUDA (0 ms)
2022-11-23T03:26:19.1904716Z [ RUN      ] NVFuserTest.FusionPredicateElimination5_CUDA
2022-11-23T03:26:19.1904920Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1905085Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1905387Z [  SKIPPED ] NVFuserTest.FusionPredicateElimination5_CUDA (0 ms)
2022-11-23T03:26:19.1905675Z [ RUN      ] NVFuserTest.FusionPredicateElimination6_CUDA
2022-11-23T03:26:19.1905888Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1906072Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1906373Z [  SKIPPED ] NVFuserTest.FusionPredicateElimination6_CUDA (0 ms)
2022-11-23T03:26:19.1906658Z [ RUN      ] NVFuserTest.FusionPredicateElimination7_CUDA
2022-11-23T03:26:19.1906871Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1907038Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1907344Z [  SKIPPED ] NVFuserTest.FusionPredicateElimination7_CUDA (0 ms)
2022-11-23T03:26:19.1907604Z [ RUN      ] NVFuserTest.FusionForceFp16Simple_CUDA
2022-11-23T03:26:19.1907813Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1907997Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1908286Z [  SKIPPED ] NVFuserTest.FusionForceFp16Simple_CUDA (0 ms)
2022-11-23T03:26:19.1908626Z [ RUN      ] NVFuserTest.FusionForceBf16Simple_CUDA
2022-11-23T03:26:19.1908813Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1908999Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1909277Z [  SKIPPED ] NVFuserTest.FusionForceBf16Simple_CUDA (0 ms)
2022-11-23T03:26:19.1909557Z [ RUN      ] NVFuserTest.FusionForceFp16NotAllCast_CUDA
2022-11-23T03:26:19.1909765Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1909946Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1910245Z [  SKIPPED ] NVFuserTest.FusionForceFp16NotAllCast_CUDA (0 ms)
2022-11-23T03:26:19.1910518Z [ RUN      ] NVFuserTest.FusionForceBf16NotAllCast_CUDA
2022-11-23T03:26:19.1910707Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1910896Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1911191Z [  SKIPPED ] NVFuserTest.FusionForceBf16NotAllCast_CUDA (0 ms)
2022-11-23T03:26:19.1911510Z [ RUN      ] NVFuserTest.FusionBufferReuseBroadCastMultiVisit_CUDA
2022-11-23T03:26:19.1911719Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1911960Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1912318Z [  SKIPPED ] NVFuserTest.FusionBufferReuseBroadCastMultiVisit_CUDA (0 ms)
2022-11-23T03:26:19.1912599Z [ RUN      ] NVFuserTest.FusionBufferReuseStressTest_CUDA
2022-11-23T03:26:19.1912787Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1912971Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1913279Z [  SKIPPED ] NVFuserTest.FusionBufferReuseStressTest_CUDA (0 ms)
2022-11-23T03:26:19.1913566Z [ RUN      ] NVFuserTest.FusionBufferReuseLargeBuffer_CUDA
2022-11-23T03:26:19.1913778Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1913962Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1914270Z [  SKIPPED ] NVFuserTest.FusionBufferReuseLargeBuffer_CUDA (0 ms)
2022-11-23T03:26:19.1914520Z [ RUN      ] NVFuserTest.FusionBufferReuseNo2hop_CUDA
2022-11-23T03:26:19.1914736Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1914922Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1915214Z [  SKIPPED ] NVFuserTest.FusionBufferReuseNo2hop_CUDA (0 ms)
2022-11-23T03:26:19.1915519Z [ RUN      ] NVFuserTest.FusionBufferReuseAllocationOrder_CUDA
2022-11-23T03:26:19.1915724Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1915906Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1916230Z [  SKIPPED ] NVFuserTest.FusionBufferReuseAllocationOrder_CUDA (0 ms)
2022-11-23T03:26:19.1916511Z [ RUN      ] NVFuserTest.FusionBufferReuseLiveInterval_CUDA
2022-11-23T03:26:19.1916723Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1916917Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1917230Z [  SKIPPED ] NVFuserTest.FusionBufferReuseLiveInterval_CUDA (0 ms)
2022-11-23T03:26:19.1917546Z [ RUN      ] NVFuserTest.FusionBufferReuseNoAcrossBroadcast_CUDA
2022-11-23T03:26:19.1917752Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1917934Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1918268Z [  SKIPPED ] NVFuserTest.FusionBufferReuseNoAcrossBroadcast_CUDA (0 ms)
2022-11-23T03:26:19.1918490Z [ RUN      ] NVFuserTest.FusionIssue970_CUDA
2022-11-23T03:26:19.1918700Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1918884Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1919226Z [  SKIPPED ] NVFuserTest.FusionIssue970_CUDA (0 ms)
2022-11-23T03:26:19.1919462Z [ RUN      ] NVFuserTest.FusionIssue1016_CUDA
2022-11-23T03:26:19.1919670Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1919856Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1920098Z [  SKIPPED ] NVFuserTest.FusionIssue1016_CUDA (0 ms)
2022-11-23T03:26:19.1920333Z [ RUN      ] NVFuserTest.FusionIssue1021_CUDA
2022-11-23T03:26:19.1920535Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1920718Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1920975Z [  SKIPPED ] NVFuserTest.FusionIssue1021_CUDA (0 ms)
2022-11-23T03:26:19.1921253Z [ RUN      ] NVFuserTest.FusionNonUniqueThreadDim_CUDA
2022-11-23T03:26:19.1921462Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1921653Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1921928Z [  SKIPPED ] NVFuserTest.FusionNonUniqueThreadDim_CUDA (0 ms)
2022-11-23T03:26:19.1922214Z [ RUN      ] NVFuserTest.FusionParallelDimensionMap1_CUDA
2022-11-23T03:26:19.1922419Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1922670Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1922989Z [  SKIPPED ] NVFuserTest.FusionParallelDimensionMap1_CUDA (0 ms)
2022-11-23T03:26:19.1923273Z [ RUN      ] NVFuserTest.FusionParallelDimensionMap2_CUDA
2022-11-23T03:26:19.1923481Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1923664Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1923947Z [  SKIPPED ] NVFuserTest.FusionParallelDimensionMap2_CUDA (0 ms)
2022-11-23T03:26:19.1924225Z [ RUN      ] NVFuserTest.FusionParallelDimensionMap3_CUDA
2022-11-23T03:26:19.1924440Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1924623Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1924929Z [  SKIPPED ] NVFuserTest.FusionParallelDimensionMap3_CUDA (0 ms)
2022-11-23T03:26:19.1925213Z [ RUN      ] NVFuserTest.FusionParallelDimensionMap4_CUDA
2022-11-23T03:26:19.1925422Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1925589Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1925890Z [  SKIPPED ] NVFuserTest.FusionParallelDimensionMap4_CUDA (0 ms)
2022-11-23T03:26:19.1926169Z [ RUN      ] NVFuserTest.FusionParallelDimensionMap5_CUDA
2022-11-23T03:26:19.1926372Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1926553Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1926852Z [  SKIPPED ] NVFuserTest.FusionParallelDimensionMap5_CUDA (0 ms)
2022-11-23T03:26:19.1927205Z [ RUN      ] NVFuserTest.FusionSegmenterCombineReductionsCycleRepro_CUDA
2022-11-23T03:26:19.1927410Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1927575Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1927955Z [  SKIPPED ] NVFuserTest.FusionSegmenterCombineReductionsCycleRepro_CUDA (0 ms)
2022-11-23T03:26:19.1928254Z [ RUN      ] NVFuserTest.FusionSerialAndParallelIndexing_CUDA
2022-11-23T03:26:19.1928461Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1928648Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1928974Z [  SKIPPED ] NVFuserTest.FusionSerialAndParallelIndexing_CUDA (0 ms)
2022-11-23T03:26:19.1929239Z [ RUN      ] NVFuserTest.FusionWARSyncAliasedSmem_CUDA
2022-11-23T03:26:19.1929448Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1929698Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1929991Z [  SKIPPED ] NVFuserTest.FusionWARSyncAliasedSmem_CUDA (0 ms)
2022-11-23T03:26:19.1930225Z [ RUN      ] NVFuserTest.FusionIssue1099_CUDA
2022-11-23T03:26:19.1930431Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1930619Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1930879Z [  SKIPPED ] NVFuserTest.FusionIssue1099_CUDA (0 ms)
2022-11-23T03:26:19.1931149Z [ RUN      ] NVFuserTest.FusionUnswitchPredicate_CUDA
2022-11-23T03:26:19.1931354Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1931521Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1931812Z [  SKIPPED ] NVFuserTest.FusionUnswitchPredicate_CUDA (0 ms)
2022-11-23T03:26:19.1932050Z [ RUN      ] NVFuserTest.FusionIssue1189_CUDA
2022-11-23T03:26:19.1932258Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1932443Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1932702Z [  SKIPPED ] NVFuserTest.FusionIssue1189_CUDA (0 ms)
2022-11-23T03:26:19.1932931Z [ RUN      ] NVFuserTest.FusionIssue1052_CUDA
2022-11-23T03:26:19.1933176Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1933370Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1933625Z [  SKIPPED ] NVFuserTest.FusionIssue1052_CUDA (0 ms)
2022-11-23T03:26:19.1933899Z [ RUN      ] NVFuserTest.FusionPointwiseBroadcast_CUDA
2022-11-23T03:26:19.1934105Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1934293Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1934585Z [  SKIPPED ] NVFuserTest.FusionPointwiseBroadcast_CUDA (0 ms)
2022-11-23T03:26:19.1934855Z [ RUN      ] NVFuserTest.FusionPointwiseVectorize_CUDA
2022-11-23T03:26:19.1935046Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1935227Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1935587Z [  SKIPPED ] NVFuserTest.FusionPointwiseVectorize_CUDA (0 ms)
2022-11-23T03:26:19.1935853Z [ RUN      ] NVFuserTest.FusionSmemAliasSerial_CUDA
2022-11-23T03:26:19.1936413Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1936614Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1936895Z [  SKIPPED ] NVFuserTest.FusionSmemAliasSerial_CUDA (0 ms)
2022-11-23T03:26:19.1937258Z [ RUN      ] NVFuserTest.FusionGridReductionWithNonExactParallelDimensions_CUDA
2022-11-23T03:26:19.1937464Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1937645Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1938057Z [  SKIPPED ] NVFuserTest.FusionGridReductionWithNonExactParallelDimensions_CUDA (0 ms)
2022-11-23T03:26:19.1938436Z [ RUN      ] NVFuserTest.FusionGridWelfordWithNonExactParallelDimensions_CUDA
2022-11-23T03:26:19.1938645Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1938829Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1939231Z [  SKIPPED ] NVFuserTest.FusionGridWelfordWithNonExactParallelDimensions_CUDA (0 ms)
2022-11-23T03:26:19.1939632Z [ RUN      ] NVFuserTest.FusionGridReductionWithNonExactParallelDimensions2_CUDA
2022-11-23T03:26:19.1939840Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1940022Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1940432Z [  SKIPPED ] NVFuserTest.FusionGridReductionWithNonExactParallelDimensions2_CUDA (0 ms)
2022-11-23T03:26:19.1940810Z [ RUN      ] NVFuserTest.FusionGridWelfordWithNonExactParallelDimensions2_CUDA
2022-11-23T03:26:19.1941217Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1941404Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1941808Z [  SKIPPED ] NVFuserTest.FusionGridWelfordWithNonExactParallelDimensions2_CUDA (0 ms)
2022-11-23T03:26:19.1942104Z [ RUN      ] NVFuserTest.FusionPredicateParallelizedDomains_CUDA
2022-11-23T03:26:19.1942317Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1942503Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1942840Z [  SKIPPED ] NVFuserTest.FusionPredicateParallelizedDomains_CUDA (0 ms)
2022-11-23T03:26:19.1943125Z [ RUN      ] NVFuserTest.FusionSmemPredicateUnswitch_CUDA
2022-11-23T03:26:19.1943329Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1943516Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1943827Z [  SKIPPED ] NVFuserTest.FusionSmemPredicateUnswitch_CUDA (0 ms)
2022-11-23T03:26:19.1944048Z [ RUN      ] NVFuserTest.FusionFloatPow_CUDA
2022-11-23T03:26:19.1944257Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1944440Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1944694Z [  SKIPPED ] NVFuserTest.FusionFloatPow_CUDA (0 ms)
2022-11-23T03:26:19.1945005Z [ RUN      ] NVFuserTest.FusionIssue1127_CUDA
2022-11-23T03:26:19.1945227Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1945412Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1945671Z [  SKIPPED ] NVFuserTest.FusionIssue1127_CUDA (0 ms)
2022-11-23T03:26:19.1945923Z [ RUN      ] NVFuserTest.FusionChannelsLastParser_CUDA
2022-11-23T03:26:19.1946130Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1946315Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1946612Z [  SKIPPED ] NVFuserTest.FusionChannelsLastParser_CUDA (0 ms)
2022-11-23T03:26:19.1946905Z [ RUN      ] NVFuserTest.FusionThreadPredicateUnswitch_CUDA
2022-11-23T03:26:19.1947113Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1947296Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1947598Z [  SKIPPED ] NVFuserTest.FusionThreadPredicateUnswitch_CUDA (0 ms)
2022-11-23T03:26:19.1947861Z [ RUN      ] NVFuserTest.FusionNonContigOutputs_CUDA
2022-11-23T03:26:19.1948064Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1948244Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1948527Z [  SKIPPED ] NVFuserTest.FusionNonContigOutputs_CUDA (0 ms)
2022-11-23T03:26:19.1948785Z [ RUN      ] NVFuserTest.FusionTestWarpSoftMax_CUDA
2022-11-23T03:26:19.1948988Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1949174Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1949437Z [  SKIPPED ] NVFuserTest.FusionTestWarpSoftMax_CUDA (0 ms)
2022-11-23T03:26:19.1949671Z [ RUN      ] NVFuserTest.FusionIssue1133_CUDA
2022-11-23T03:26:19.1949876Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1950062Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1950321Z [  SKIPPED ] NVFuserTest.FusionIssue1133_CUDA (0 ms)
2022-11-23T03:26:19.1950577Z [ RUN      ] NVFuserTest.FusionRfactorContigIDs_CUDA
2022-11-23T03:26:19.1950783Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1950963Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1951227Z [  SKIPPED ] NVFuserTest.FusionRfactorContigIDs_CUDA (0 ms)
2022-11-23T03:26:19.1951538Z [ RUN      ] NVFuserTest.FusionPersistentBufferCalculation1_CUDA
2022-11-23T03:26:19.1951845Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1952031Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1952363Z [  SKIPPED ] NVFuserTest.FusionPersistentBufferCalculation1_CUDA (0 ms)
2022-11-23T03:26:19.1952682Z [ RUN      ] NVFuserTest.FusionPersistentBufferCalculation2_CUDA
2022-11-23T03:26:19.1952896Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1953061Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1953392Z [  SKIPPED ] NVFuserTest.FusionPersistentBufferCalculation2_CUDA (0 ms)
2022-11-23T03:26:19.1953698Z [ RUN      ] NVFuserTest.FusionPersistentBufferCalculation3_CUDA
2022-11-23T03:26:19.1953902Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1954082Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1954410Z [  SKIPPED ] NVFuserTest.FusionPersistentBufferCalculation3_CUDA (0 ms)
2022-11-23T03:26:19.1954724Z [ RUN      ] NVFuserTest.FusionPersistentBufferCalculation4_CUDA
2022-11-23T03:26:19.1954930Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1955097Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1955485Z [  SKIPPED ] NVFuserTest.FusionPersistentBufferCalculation4_CUDA (0 ms)
2022-11-23T03:26:19.1955800Z [ RUN      ] NVFuserTest.FusionPersistentBufferProjection_CUDA
2022-11-23T03:26:19.1956007Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1956193Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1956517Z [  SKIPPED ] NVFuserTest.FusionPersistentBufferProjection_CUDA (0 ms)
2022-11-23T03:26:19.1956747Z [ RUN      ] NVFuserTest.FusionIssue1223_CUDA
2022-11-23T03:26:19.1956952Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1957122Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1957377Z [  SKIPPED ] NVFuserTest.FusionIssue1223_CUDA (0 ms)
2022-11-23T03:26:19.1957653Z [ RUN      ] NVFuserTest.FusionRfactorPredication1_CUDA
2022-11-23T03:26:19.1957862Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1958049Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1958346Z [  SKIPPED ] NVFuserTest.FusionRfactorPredication1_CUDA (0 ms)
2022-11-23T03:26:19.1958617Z [ RUN      ] NVFuserTest.FusionRfactorPredication2_CUDA
2022-11-23T03:26:19.1958818Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1958984Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1959280Z [  SKIPPED ] NVFuserTest.FusionRfactorPredication2_CUDA (0 ms)
2022-11-23T03:26:19.1959552Z [ RUN      ] NVFuserTest.FusionRfactorIndirectRoot_CUDA
2022-11-23T03:26:19.1959764Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1959951Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1960247Z [  SKIPPED ] NVFuserTest.FusionRfactorIndirectRoot_CUDA (0 ms)
2022-11-23T03:26:19.1960520Z [ RUN      ] NVFuserTest.FusionNonDivisibleSplit1_CUDA
2022-11-23T03:26:19.1960711Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1960901Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1961199Z [  SKIPPED ] NVFuserTest.FusionNonDivisibleSplit1_CUDA (0 ms)
2022-11-23T03:26:19.1961472Z [ RUN      ] NVFuserTest.FusionNonDivisibleSplit2_CUDA
2022-11-23T03:26:19.1961680Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1961862Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1962152Z [  SKIPPED ] NVFuserTest.FusionNonDivisibleSplit2_CUDA (0 ms)
2022-11-23T03:26:19.1962499Z [ RUN      ] NVFuserTest.FusionNonDivisibleSplit3_CUDA
2022-11-23T03:26:19.1962686Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1962868Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1963156Z [  SKIPPED ] NVFuserTest.FusionNonDivisibleSplit3_CUDA (0 ms)
2022-11-23T03:26:19.1963467Z [ RUN      ] NVFuserTest.FusionNonDivisibleSplit4_CUDA
2022-11-23T03:26:19.1963674Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1963857Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1964146Z [  SKIPPED ] NVFuserTest.FusionNonDivisibleSplit4_CUDA (0 ms)
2022-11-23T03:26:19.1964396Z [ RUN      ] NVFuserTest.FusionNonDivisibleSplit5_CUDA
2022-11-23T03:26:19.1964606Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1964792Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1965090Z [  SKIPPED ] NVFuserTest.FusionNonDivisibleSplit5_CUDA (0 ms)
2022-11-23T03:26:19.1965398Z [ RUN      ] NVFuserTest.FusionNonDivisibleSplitVectorize1_CUDA
2022-11-23T03:26:19.1965602Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1965787Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1966183Z [  SKIPPED ] NVFuserTest.FusionNonDivisibleSplitVectorize1_CUDA (0 ms)
2022-11-23T03:26:19.1966485Z [ RUN      ] NVFuserTest.FusionNonDivisibleSplitVectorize2_CUDA
2022-11-23T03:26:19.1966692Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1966873Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1967210Z [  SKIPPED ] NVFuserTest.FusionNonDivisibleSplitVectorize2_CUDA (0 ms)
2022-11-23T03:26:19.1967474Z [ RUN      ] NVFuserTest.FusionIssue1284Repro_CUDA
2022-11-23T03:26:19.1967677Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1967868Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1968143Z [  SKIPPED ] NVFuserTest.FusionIssue1284Repro_CUDA (0 ms)
2022-11-23T03:26:19.1968382Z [ RUN      ] NVFuserTest.FusionIssue1284Repro2_CUDA
2022-11-23T03:26:19.1968590Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1968772Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1969053Z [  SKIPPED ] NVFuserTest.FusionIssue1284Repro2_CUDA (0 ms)
2022-11-23T03:26:19.1969305Z [ RUN      ] NVFuserTest.FusionIssue1305Repro_CUDA
2022-11-23T03:26:19.1969515Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1969700Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1969954Z [  SKIPPED ] NVFuserTest.FusionIssue1305Repro_CUDA (0 ms)
2022-11-23T03:26:19.1970224Z [ RUN      ] NVFuserTest.FusionDoubleBuffering1_CUDA
2022-11-23T03:26:19.1970434Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1970623Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1970910Z [  SKIPPED ] NVFuserTest.FusionDoubleBuffering1_CUDA (0 ms)
2022-11-23T03:26:19.1971171Z [ RUN      ] NVFuserTest.FusionDoubleBuffering2_CUDA
2022-11-23T03:26:19.1971380Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1971563Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1971829Z [  SKIPPED ] NVFuserTest.FusionDoubleBuffering2_CUDA (0 ms)
2022-11-23T03:26:19.1972091Z [ RUN      ] NVFuserTest.FusionDoubleBuffering3_CUDA
2022-11-23T03:26:19.1972299Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1972481Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1972764Z [  SKIPPED ] NVFuserTest.FusionDoubleBuffering3_CUDA (0 ms)
2022-11-23T03:26:19.1973118Z [ RUN      ] NVFuserTest.FusionDoubleBuffering4_CUDA
2022-11-23T03:26:19.1973324Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1973510Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1973770Z [  SKIPPED ] NVFuserTest.FusionDoubleBuffering4_CUDA (0 ms)
2022-11-23T03:26:19.1974036Z [ RUN      ] NVFuserTest.FusionDoubleBuffering5_CUDA
2022-11-23T03:26:19.1974242Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1974426Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1974705Z [  SKIPPED ] NVFuserTest.FusionDoubleBuffering5_CUDA (0 ms)
2022-11-23T03:26:19.1974968Z [ RUN      ] NVFuserTest.FusionDoubleBuffering6_CUDA
2022-11-23T03:26:19.1975173Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1975341Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1975629Z [  SKIPPED ] NVFuserTest.FusionDoubleBuffering6_CUDA (0 ms)
2022-11-23T03:26:19.1975885Z [ RUN      ] NVFuserTest.FusionDoubleBuffering7_CUDA
2022-11-23T03:26:19.1976500Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1976702Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1977116Z [  SKIPPED ] NVFuserTest.FusionDoubleBuffering7_CUDA (0 ms)
2022-11-23T03:26:19.1977393Z [ RUN      ] NVFuserTest.FusionDoubleBuffering8_CUDA
2022-11-23T03:26:19.1977601Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1977766Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1978042Z [  SKIPPED ] NVFuserTest.FusionDoubleBuffering8_CUDA (0 ms)
2022-11-23T03:26:19.1978304Z [ RUN      ] NVFuserTest.FusionDoubleBuffering9_CUDA
2022-11-23T03:26:19.1978510Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1978701Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1978979Z [  SKIPPED ] NVFuserTest.FusionDoubleBuffering9_CUDA (0 ms)
2022-11-23T03:26:19.1979298Z [ RUN      ] NVFuserTest.FusionSmemBlockGemmCacheDoubleBuffer_CUDA
2022-11-23T03:26:19.1979504Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1979673Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1980021Z [  SKIPPED ] NVFuserTest.FusionSmemBlockGemmCacheDoubleBuffer_CUDA (0 ms)
2022-11-23T03:26:19.1980334Z [ RUN      ] NVFuserTest.FusionIntermediateTensorVectorize_CUDA
2022-11-23T03:26:19.1980537Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1980725Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1981058Z [  SKIPPED ] NVFuserTest.FusionIntermediateTensorVectorize_CUDA (0 ms)
2022-11-23T03:26:19.1981349Z [ RUN      ] NVFuserTest.FusionBroadcastConcretization1_CUDA
2022-11-23T03:26:19.1981561Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1981728Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1982039Z [  SKIPPED ] NVFuserTest.FusionBroadcastConcretization1_CUDA (0 ms)
2022-11-23T03:26:19.1982336Z [ RUN      ] NVFuserTest.FusionBroadcastConcretization2_CUDA
2022-11-23T03:26:19.1982543Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1982725Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1983041Z [  SKIPPED ] NVFuserTest.FusionBroadcastConcretization2_CUDA (0 ms)
2022-11-23T03:26:19.1983333Z [ RUN      ] NVFuserTest.FusionBroadcastConcretization3_CUDA
2022-11-23T03:26:19.1983519Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1983704Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1984017Z [  SKIPPED ] NVFuserTest.FusionBroadcastConcretization3_CUDA (0 ms)
2022-11-23T03:26:19.1984407Z [ RUN      ] NVFuserTest.FusionBroadcastConcretization5_CUDA
2022-11-23T03:26:19.1984613Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1984796Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1985114Z [  SKIPPED ] NVFuserTest.FusionBroadcastConcretization5_CUDA (0 ms)
2022-11-23T03:26:19.1985351Z [ RUN      ] NVFuserTest.FusionIssue1430_CUDA
2022-11-23T03:26:19.1985541Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1985723Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1985983Z [  SKIPPED ] NVFuserTest.FusionIssue1430_CUDA (0 ms)
2022-11-23T03:26:19.1986271Z [ RUN      ] NVFuserTest.FusionCodegenAllocatedScalars_CUDA
2022-11-23T03:26:19.1986477Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1986664Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1986976Z [  SKIPPED ] NVFuserTest.FusionCodegenAllocatedScalars_CUDA (0 ms)
2022-11-23T03:26:19.1987220Z [ RUN      ] NVFuserTest.FusionIndexHoist1_CUDA
2022-11-23T03:26:19.1987407Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1987644Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1987922Z [  SKIPPED ] NVFuserTest.FusionIndexHoist1_CUDA (0 ms)
2022-11-23T03:26:19.1988160Z [ RUN      ] NVFuserTest.FusionIndexHoist2_CUDA
2022-11-23T03:26:19.1988368Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1988550Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1988813Z [  SKIPPED ] NVFuserTest.FusionIndexHoist2_CUDA (0 ms)
2022-11-23T03:26:19.1989041Z [ RUN      ] NVFuserTest.FusionTestGridComm_CUDA
2022-11-23T03:26:19.1989249Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1989438Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1989705Z [  SKIPPED ] NVFuserTest.FusionTestGridComm_CUDA (0 ms)
2022-11-23T03:26:19.1989957Z [ RUN      ] NVFuserTest.FusionTestGridComm2_CUDA
2022-11-23T03:26:19.1990164Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1990346Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1990618Z [  SKIPPED ] NVFuserTest.FusionTestGridComm2_CUDA (0 ms)
2022-11-23T03:26:19.1990871Z [ RUN      ] NVFuserTest.FusionDoubleBufferVector_CUDA
2022-11-23T03:26:19.1991077Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1991261Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1991553Z [  SKIPPED ] NVFuserTest.FusionDoubleBufferVector_CUDA (0 ms)
2022-11-23T03:26:19.1991786Z [ RUN      ] NVFuserTest.FusionLargeSmem_CUDA
2022-11-23T03:26:19.1991996Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1992179Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1992415Z [  SKIPPED ] NVFuserTest.FusionLargeSmem_CUDA (0 ms)
2022-11-23T03:26:19.1992664Z [ RUN      ] NVFuserTest.FusionTooLargeSmem_CUDA
2022-11-23T03:26:19.1992871Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1993060Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1993328Z [  SKIPPED ] NVFuserTest.FusionTooLargeSmem_CUDA (0 ms)
2022-11-23T03:26:19.1993581Z [ RUN      ] NVFuserTest.FusionSmemAlignment_CUDA
2022-11-23T03:26:19.1993785Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1993968Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1994223Z [  SKIPPED ] NVFuserTest.FusionSmemAlignment_CUDA (0 ms)
2022-11-23T03:26:19.1994586Z [ RUN      ] NVFuserTest.FusionImmediateValueAsInput_CUDA
2022-11-23T03:26:19.1994792Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1994974Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1995282Z [  SKIPPED ] NVFuserTest.FusionImmediateValueAsInput_CUDA (0 ms)
2022-11-23T03:26:19.1995566Z [ RUN      ] NVFuserTest.FusionVectorizeContigIndex_CUDA
2022-11-23T03:26:19.1995772Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1995955Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1996238Z [  SKIPPED ] NVFuserTest.FusionVectorizeContigIndex_CUDA (0 ms)
2022-11-23T03:26:19.1996528Z [ RUN      ] NVFuserTest.FusionVectorizeContigIndexFail_CUDA
2022-11-23T03:26:19.1996734Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1996921Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1997243Z [  SKIPPED ] NVFuserTest.FusionVectorizeContigIndexFail_CUDA (0 ms)
2022-11-23T03:26:19.1997535Z [ RUN      ] NVFuserTest.FusionVectorizeInputToOutput_CUDA
2022-11-23T03:26:19.1997739Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1997923Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1998282Z [  SKIPPED ] NVFuserTest.FusionVectorizeInputToOutput_CUDA (0 ms)
2022-11-23T03:26:19.1998633Z [ RUN      ] NVFuserTest.FusionVectorizeContigIndexValidationFail_CUDA
2022-11-23T03:26:19.1998840Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.1999025Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.1999381Z [  SKIPPED ] NVFuserTest.FusionVectorizeContigIndexValidationFail_CUDA (0 ms)
2022-11-23T03:26:19.1999688Z [ RUN      ] NVFuserTest.FusionContigIndexingWithBroadcast_CUDA
2022-11-23T03:26:19.1999899Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2000067Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2000403Z [  SKIPPED ] NVFuserTest.FusionContigIndexingWithBroadcast_CUDA (0 ms)
2022-11-23T03:26:19.2000742Z [ RUN      ] NVFuserTest.FusionVectorizeContigIndexValidationFail2_CUDA
2022-11-23T03:26:19.2000952Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2001133Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2001498Z [  SKIPPED ] NVFuserTest.FusionVectorizeContigIndexValidationFail2_CUDA (0 ms)
2022-11-23T03:26:19.2001829Z [ RUN      ] NVFuserTest.FusionVectorizeContigIndexWithBroadcast_CUDA
2022-11-23T03:26:19.2002035Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2002201Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2002562Z [  SKIPPED ] NVFuserTest.FusionVectorizeContigIndexWithBroadcast_CUDA (0 ms)
2022-11-23T03:26:19.2002925Z [ RUN      ] NVFuserTest.FusionVectorizeContigIndexPointwiseSchedule_CUDA
2022-11-23T03:26:19.2003129Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2003315Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2003696Z [  SKIPPED ] NVFuserTest.FusionVectorizeContigIndexPointwiseSchedule_CUDA (0 ms)
2022-11-23T03:26:19.2004006Z [ RUN      ] NVFuserTest.FusionTrivialReductionForwarding1_CUDA
2022-11-23T03:26:19.2004210Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2004377Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2004706Z [  SKIPPED ] NVFuserTest.FusionTrivialReductionForwarding1_CUDA (0 ms)
2022-11-23T03:26:19.2005013Z [ RUN      ] NVFuserTest.FusionTrivialReductionForwarding2_CUDA
2022-11-23T03:26:19.2005218Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2005483Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2005811Z [  SKIPPED ] NVFuserTest.FusionTrivialReductionForwarding2_CUDA (0 ms)
2022-11-23T03:26:19.2006116Z [ RUN      ] NVFuserTest.FusionTrivialReductionForwarding3_CUDA
2022-11-23T03:26:19.2006333Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2006497Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2006838Z [  SKIPPED ] NVFuserTest.FusionTrivialReductionForwarding3_CUDA (0 ms)
2022-11-23T03:26:19.2007145Z [ RUN      ] NVFuserTest.FusionTrivialReductionForwarding4_CUDA
2022-11-23T03:26:19.2007350Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2007540Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2007873Z [  SKIPPED ] NVFuserTest.FusionTrivialReductionForwarding4_CUDA (0 ms)
2022-11-23T03:26:19.2008174Z [ RUN      ] NVFuserTest.FusionRAWSyncInsertionPlace1_CUDA
2022-11-23T03:26:19.2008382Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2008551Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2008859Z [  SKIPPED ] NVFuserTest.FusionRAWSyncInsertionPlace1_CUDA (0 ms)
2022-11-23T03:26:19.2009210Z [ RUN      ] NVFuserTest.FusionRAWSyncInsertionPlace2_CUDA
2022-11-23T03:26:19.2009425Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2009616Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2009921Z [  SKIPPED ] NVFuserTest.FusionRAWSyncInsertionPlace2_CUDA (0 ms)
2022-11-23T03:26:19.2010207Z [ RUN      ] NVFuserTest.FusionRAWSyncInsertionPlace3_CUDA
2022-11-23T03:26:19.2010395Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2010579Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2010890Z [  SKIPPED ] NVFuserTest.FusionRAWSyncInsertionPlace3_CUDA (0 ms)
2022-11-23T03:26:19.2011176Z [ RUN      ] NVFuserTest.FusionRAWSyncInsertionPlace4_CUDA
2022-11-23T03:26:19.2011387Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2011569Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2011882Z [  SKIPPED ] NVFuserTest.FusionRAWSyncInsertionPlace4_CUDA (0 ms)
2022-11-23T03:26:19.2012195Z [ RUN      ] NVFuserTest.FusionSerialSmemWriteParallelRead1_CUDA
2022-11-23T03:26:19.2012383Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2012567Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2012899Z [  SKIPPED ] NVFuserTest.FusionSerialSmemWriteParallelRead1_CUDA (0 ms)
2022-11-23T03:26:19.2013213Z [ RUN      ] NVFuserTest.FusionSerialSmemWriteParallelRead2_CUDA
2022-11-23T03:26:19.2013420Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2013615Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2013946Z [  SKIPPED ] NVFuserTest.FusionSerialSmemWriteParallelRead2_CUDA (0 ms)
2022-11-23T03:26:19.2014198Z [ RUN      ] NVFuserTest.FusionSimpleCpAsync_CUDA
2022-11-23T03:26:19.2014386Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2014569Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2014842Z [  SKIPPED ] NVFuserTest.FusionSimpleCpAsync_CUDA (0 ms)
2022-11-23T03:26:19.2015120Z [ RUN      ] NVFuserTest.FusionDoubleBufferCpAsync1_CUDA
2022-11-23T03:26:19.2015324Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2015504Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2015801Z [  SKIPPED ] NVFuserTest.FusionDoubleBufferCpAsync1_CUDA (0 ms)
2022-11-23T03:26:19.2016428Z [ RUN      ] NVFuserTest.FusionDoubleBufferCpAsync2_CUDA
2022-11-23T03:26:19.2016803Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2017048Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2017552Z [  SKIPPED ] NVFuserTest.FusionDoubleBufferCpAsync2_CUDA (0 ms)
2022-11-23T03:26:19.2018008Z [ RUN      ] NVFuserTest.FusionDoubleBufferNoSync_CUDA
2022-11-23T03:26:19.2018348Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2019158Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2019963Z [  SKIPPED ] NVFuserTest.FusionDoubleBufferNoSync_CUDA (0 ms)
2022-11-23T03:26:19.2020755Z [ RUN      ] NVFuserTest.FusionCpAsyncPredicate_CUDA
2022-11-23T03:26:19.2021555Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2022230Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2022933Z [  SKIPPED ] NVFuserTest.FusionCpAsyncPredicate_CUDA (0 ms)
2022-11-23T03:26:19.2023692Z [ RUN      ] NVFuserTest.FusionPredRemovalCheck_CUDA
2022-11-23T03:26:19.2024477Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2025248Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2026140Z [  SKIPPED ] NVFuserTest.FusionPredRemovalCheck_CUDA (0 ms)
2022-11-23T03:26:19.2027442Z [ RUN      ] NVFuserTest.FusionPropagateParallelTypesToSiblings_CUDA
2022-11-23T03:26:19.2028403Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2029212Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2030244Z [  SKIPPED ] NVFuserTest.FusionPropagateParallelTypesToSiblings_CUDA (0 ms)
2022-11-23T03:26:19.2031330Z [ RUN      ] NVFuserTest.FusionExactRootDomainMap_CUDA
2022-11-23T03:26:19.2032155Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2032939Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2033793Z [  SKIPPED ] NVFuserTest.FusionExactRootDomainMap_CUDA (0 ms)
2022-11-23T03:26:19.2034799Z [ RUN      ] NVFuserTest.FusionIncompleteConcreteID_CUDA
2022-11-23T03:26:19.2035667Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2036518Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2037468Z [  SKIPPED ] NVFuserTest.FusionIncompleteConcreteID_CUDA (0 ms)
2022-11-23T03:26:19.2038044Z [ RUN      ] NVFuserTest.FusionTestReEntrantGridWelford_CUDA
2022-11-23T03:26:19.2038498Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2038902Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2039370Z [  SKIPPED ] NVFuserTest.FusionTestReEntrantGridWelford_CUDA (0 ms)
2022-11-23T03:26:19.2039892Z [ RUN      ] NVFuserTest.FusionRedundantPredSync_CUDA
2022-11-23T03:26:19.2040346Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2040720Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2041175Z [  SKIPPED ] NVFuserTest.FusionRedundantPredSync_CUDA (0 ms)
2022-11-23T03:26:19.2041678Z [ RUN      ] NVFuserTest.FusionRedundantPredSync2_CUDA
2022-11-23T03:26:19.2042146Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2042558Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2043015Z [  SKIPPED ] NVFuserTest.FusionRedundantPredSync2_CUDA (0 ms)
2022-11-23T03:26:19.2043519Z [ RUN      ] NVFuserTest.FusionRedundantPredSync3_CUDA
2022-11-23T03:26:19.2043927Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2044330Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2044785Z [  SKIPPED ] NVFuserTest.FusionRedundantPredSync3_CUDA (0 ms)
2022-11-23T03:26:19.2045447Z [ RUN      ] NVFuserTest.FusionRedundantUseCheck_CUDA
2022-11-23T03:26:19.2045866Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2046268Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2046703Z [  SKIPPED ] NVFuserTest.FusionRedundantUseCheck_CUDA (0 ms)
2022-11-23T03:26:19.2047199Z [ RUN      ] NVFuserTest.FusionSimpleSwizzle0_CUDA
2022-11-23T03:26:19.2047618Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2048025Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2048450Z [  SKIPPED ] NVFuserTest.FusionSimpleSwizzle0_CUDA (0 ms)
2022-11-23T03:26:19.2048926Z [ RUN      ] NVFuserTest.FusionSimpleSwizzle1_CUDA
2022-11-23T03:26:19.2049341Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2049732Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2050178Z [  SKIPPED ] NVFuserTest.FusionSimpleSwizzle1_CUDA (0 ms)
2022-11-23T03:26:19.2050658Z [ RUN      ] NVFuserTest.FusionSimpleSwizzle2_CUDA
2022-11-23T03:26:19.2051056Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2051462Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2051990Z [  SKIPPED ] NVFuserTest.FusionSimpleSwizzle2_CUDA (0 ms)
2022-11-23T03:26:19.2052470Z [ RUN      ] NVFuserTest.FusionSwizzleMapping_CUDA
2022-11-23T03:26:19.2052867Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2053274Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2053731Z [  SKIPPED ] NVFuserTest.FusionSwizzleMapping_CUDA (0 ms)
2022-11-23T03:26:19.2054164Z [ RUN      ] NVFuserTest.FusionLoopSwizzle0_CUDA
2022-11-23T03:26:19.2054577Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2054988Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2055404Z [  SKIPPED ] NVFuserTest.FusionLoopSwizzle0_CUDA (0 ms)
2022-11-23T03:26:19.2055873Z [ RUN      ] NVFuserTest.FusionLoopSwizzle1_CUDA
2022-11-23T03:26:19.2056636Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2057053Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2057469Z [  SKIPPED ] NVFuserTest.FusionLoopSwizzle1_CUDA (0 ms)
2022-11-23T03:26:19.2057956Z [ RUN      ] NVFuserTest.FusionLoopSwizzleCheck0_CUDA
2022-11-23T03:26:19.2058380Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2058773Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2059228Z [  SKIPPED ] NVFuserTest.FusionLoopSwizzleCheck0_CUDA (0 ms)
2022-11-23T03:26:19.2059734Z [ RUN      ] NVFuserTest.FusionLoopSwizzleCheck1_CUDA
2022-11-23T03:26:19.2060139Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2060555Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2061005Z [  SKIPPED ] NVFuserTest.FusionLoopSwizzleCheck1_CUDA (0 ms)
2022-11-23T03:26:19.2061480Z [ RUN      ] NVFuserTest.FusionUnsqueeze1_CUDA
2022-11-23T03:26:19.2061866Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2062276Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2062698Z [  SKIPPED ] NVFuserTest.FusionUnsqueeze1_CUDA (0 ms)
2022-11-23T03:26:19.2063122Z [ RUN      ] NVFuserTest.FusionSqueeze1_CUDA
2022-11-23T03:26:19.2063520Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2063926Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2064327Z [  SKIPPED ] NVFuserTest.FusionSqueeze1_CUDA (0 ms)
2022-11-23T03:26:19.2064789Z [ RUN      ] NVFuserTest.FusionContigPredicate_CUDA
2022-11-23T03:26:19.2065426Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2065834Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2066264Z [  SKIPPED ] NVFuserTest.FusionContigPredicate_CUDA (0 ms)
2022-11-23T03:26:19.2066742Z [ RUN      ] NVFuserTest.FusionDivScalarLhs_CUDA
2022-11-23T03:26:19.2067157Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2067544Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2067974Z [  SKIPPED ] NVFuserTest.FusionDivScalarLhs_CUDA (0 ms)
2022-11-23T03:26:19.2068429Z [ RUN      ] NVFuserTest.FusionRepro1713_CUDA
2022-11-23T03:26:19.2068810Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2069215Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2069643Z [  SKIPPED ] NVFuserTest.FusionRepro1713_CUDA (0 ms)
2022-11-23T03:26:19.2070083Z [ RUN      ] NVFuserTest.FusionExpand_CUDA
2022-11-23T03:26:19.2070458Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2070856Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2071268Z [  SKIPPED ] NVFuserTest.FusionExpand_CUDA (0 ms)
2022-11-23T03:26:19.2071716Z [ RUN      ] NVFuserTest.FusionExpandIssue1751_CUDA
2022-11-23T03:26:19.2072283Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2072700Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2073125Z [  SKIPPED ] NVFuserTest.FusionExpandIssue1751_CUDA (0 ms)
2022-11-23T03:26:19.2073609Z [ RUN      ] NVFuserTest.FusionExpandToConcrete_CUDA
2022-11-23T03:26:19.2074028Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2074432Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2074866Z [  SKIPPED ] NVFuserTest.FusionExpandToConcrete_CUDA (0 ms)
2022-11-23T03:26:19.2075399Z [ RUN      ] NVFuserTest.FusionReproNoncontigBroadcast_CUDA
2022-11-23T03:26:19.2075843Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2076233Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2076719Z [  SKIPPED ] NVFuserTest.FusionReproNoncontigBroadcast_CUDA (0 ms)
2022-11-23T03:26:19.2077280Z [ RUN      ] NVFuserTest.FusionTransformPropagateSibling_CUDA
2022-11-23T03:26:19.2077720Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2078134Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2078619Z [  SKIPPED ] NVFuserTest.FusionTransformPropagateSibling_CUDA (0 ms)
2022-11-23T03:26:19.2079221Z [ RUN      ] NVFuserTest.FusionTransformPropagateSelectorSibling_CUDA
2022-11-23T03:26:19.2079688Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2080099Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2080624Z [  SKIPPED ] NVFuserTest.FusionTransformPropagateSelectorSibling_CUDA (0 ms)
2022-11-23T03:26:19.2081208Z [ RUN      ] NVFuserTest.FusionTransformPropagatePosition_CUDA
2022-11-23T03:26:19.2081668Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2082079Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2082571Z [  SKIPPED ] NVFuserTest.FusionTransformPropagatePosition_CUDA (0 ms)
2022-11-23T03:26:19.2083106Z [ RUN      ] NVFuserTest.FusionIgnoreZeroDimReduction_CUDA
2022-11-23T03:26:19.2083542Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2083942Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2084398Z [  SKIPPED ] NVFuserTest.FusionIgnoreZeroDimReduction_CUDA (0 ms)
2022-11-23T03:26:19.2084903Z [ RUN      ] NVFuserTest.FusionIssue1770Repro_CUDA
2022-11-23T03:26:19.2085410Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2085804Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2086247Z [  SKIPPED ] NVFuserTest.FusionIssue1770Repro_CUDA (0 ms)
2022-11-23T03:26:19.2086782Z [ RUN      ] NVFuserTest.FusionTransformPropagatorSelector_CUDA
2022-11-23T03:26:19.2087244Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2087633Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2088131Z [  SKIPPED ] NVFuserTest.FusionTransformPropagatorSelector_CUDA (0 ms)
2022-11-23T03:26:19.2088695Z [ RUN      ] NVFuserTest.FusionTransformPropagatorPos_CUDA
2022-11-23T03:26:19.2089121Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2089525Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2089999Z [  SKIPPED ] NVFuserTest.FusionTransformPropagatorPos_CUDA (0 ms)
2022-11-23T03:26:19.2090607Z [ RUN      ] NVFuserTest.FusionMaxRootDomainInfoSpanningTreePrintTwice_CUDA
2022-11-23T03:26:19.2091114Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2091522Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2092164Z [  SKIPPED ] NVFuserTest.FusionMaxRootDomainInfoSpanningTreePrintTwice_CUDA (0 ms)
2022-11-23T03:26:19.2092798Z [ RUN      ] NVFuserTest.FusionTransformPropagatorNoOverwrite_CUDA
2022-11-23T03:26:19.2093265Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2093671Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2094164Z [  SKIPPED ] NVFuserTest.FusionTransformPropagatorNoOverwrite_CUDA (0 ms)
2022-11-23T03:26:19.2094709Z [ RUN      ] NVFuserTest.FusionIssue1785Repro_CUDA
2022-11-23T03:26:19.2095115Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2095534Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2095956Z [  SKIPPED ] NVFuserTest.FusionIssue1785Repro_CUDA (0 ms)
2022-11-23T03:26:19.2096806Z [ RUN      ] NVFuserTest.FusionSkipReplay_CUDA
2022-11-23T03:26:19.2097215Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2097616Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2098049Z [  SKIPPED ] NVFuserTest.FusionSkipReplay_CUDA (0 ms)
2022-11-23T03:26:19.2098527Z [ RUN      ] NVFuserTest.FusionInlineRepro1803_CUDA
2022-11-23T03:26:19.2098927Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2099362Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2099815Z [  SKIPPED ] NVFuserTest.FusionInlineRepro1803_CUDA (0 ms)
2022-11-23T03:26:19.2100348Z [ RUN      ] NVFuserTest.FusionBoundedDirectionSelection1_CUDA
2022-11-23T03:26:19.2100792Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2101201Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2101691Z [  SKIPPED ] NVFuserTest.FusionBoundedDirectionSelection1_CUDA (0 ms)
2022-11-23T03:26:19.2102197Z [ RUN      ] NVFuserTest.FusionIssueRepro1844_CUDA
2022-11-23T03:26:19.2102614Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2103022Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2103449Z [  SKIPPED ] NVFuserTest.FusionIssueRepro1844_CUDA (0 ms)
2022-11-23T03:26:19.2103928Z [ RUN      ] NVFuserTest.FusionInsertMagicZero1_CUDA
2022-11-23T03:26:19.2104347Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2104748Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2105178Z [  SKIPPED ] NVFuserTest.FusionInsertMagicZero1_CUDA (0 ms)
2022-11-23T03:26:19.2105819Z [ RUN      ] NVFuserTest.FusionRepro1860_CUDA
2022-11-23T03:26:19.2106215Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2106606Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2107034Z [  SKIPPED ] NVFuserTest.FusionRepro1860_CUDA (0 ms)
2022-11-23T03:26:19.2107491Z [ RUN      ] NVFuserTest.FusionExpandReduce_CUDA
2022-11-23T03:26:19.2107884Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2108292Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2108725Z [  SKIPPED ] NVFuserTest.FusionExpandReduce_CUDA (0 ms)
2022-11-23T03:26:19.2109201Z [ RUN      ] NVFuserTest.FusionExpandReduce2_CUDA
2022-11-23T03:26:19.2109591Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2109991Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2110426Z [  SKIPPED ] NVFuserTest.FusionExpandReduce2_CUDA (0 ms)
2022-11-23T03:26:19.2110909Z [ RUN      ] NVFuserTest.FusionExpandBadShapeTest_CUDA
2022-11-23T03:26:19.2111336Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2111742Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2112185Z [  SKIPPED ] NVFuserTest.FusionExpandBadShapeTest_CUDA (0 ms)
2022-11-23T03:26:19.2112924Z [ RUN      ] NVFuserTest.FusionPointwiseScheduleWithBroadcastAndTrivialReduction_CUDA
2022-11-23T03:26:19.2113479Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2113885Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2114475Z [  SKIPPED ] NVFuserTest.FusionPointwiseScheduleWithBroadcastAndTrivialReduction_CUDA (0 ms)
2022-11-23T03:26:19.2115126Z [ RUN      ] NVFuserTest.FusionInliningMismatchedDims1_CUDA
2022-11-23T03:26:19.2115569Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2115960Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2116437Z [  SKIPPED ] NVFuserTest.FusionInliningMismatchedDims1_CUDA (0 ms)
2022-11-23T03:26:19.2116976Z [ RUN      ] NVFuserTest.FusionInliningMismatchedDims2_CUDA
2022-11-23T03:26:19.2117424Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2117819Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2118294Z [  SKIPPED ] NVFuserTest.FusionInliningMismatchedDims2_CUDA (0 ms)
2022-11-23T03:26:19.2118840Z [ RUN      ] NVFuserTest.FusionInliningMismatchedDims3_CUDA
2022-11-23T03:26:19.2119265Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2119671Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2120151Z [  SKIPPED ] NVFuserTest.FusionInliningMismatchedDims3_CUDA (0 ms)
2022-11-23T03:26:19.2120669Z [ RUN      ] NVFuserTest.FusionInliningMismatchedDims4_CUDA
2022-11-23T03:26:19.2121191Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2121597Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2122073Z [  SKIPPED ] NVFuserTest.FusionInliningMismatchedDims4_CUDA (0 ms)
2022-11-23T03:26:19.2122583Z [ RUN      ] NVFuserTest.FusionInliningBroadcast_CUDA
2022-11-23T03:26:19.2123012Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2123421Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2123856Z [  SKIPPED ] NVFuserTest.FusionInliningBroadcast_CUDA (0 ms)
2022-11-23T03:26:19.2124428Z [ RUN      ] NVFuserTest.FusionInliningBroadcastTrivialReduction_CUDA
2022-11-23T03:26:19.2124915Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2125312Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2125953Z [  SKIPPED ] NVFuserTest.FusionInliningBroadcastTrivialReduction_CUDA (0 ms)
2022-11-23T03:26:19.2126628Z [ RUN      ] NVFuserTest.FusionMatchedLeafPosWithoutReplayTrivialReduction_CUDA
2022-11-23T03:26:19.2127154Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2127551Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2128136Z [  SKIPPED ] NVFuserTest.FusionMatchedLeafPosWithoutReplayTrivialReduction_CUDA (0 ms)
2022-11-23T03:26:19.2128826Z [ RUN      ] NVFuserTest.FusionMatchedLeafPosWithoutReplayBroadcast_CUDA
2022-11-23T03:26:19.2129303Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2129713Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2130255Z [  SKIPPED ] NVFuserTest.FusionMatchedLeafPosWithoutReplayBroadcast_CUDA (0 ms)
2022-11-23T03:26:19.2130852Z [ RUN      ] NVFuserTest.FusionIdGraphTrivialReduction_CUDA
2022-11-23T03:26:19.2131288Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2131699Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2132178Z [  SKIPPED ] NVFuserTest.FusionIdGraphTrivialReduction_CUDA (0 ms)
2022-11-23T03:26:19.2132643Z [ RUN      ] NVFuserTest.FusionPrint_CUDA
2022-11-23T03:26:19.2133117Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2133533Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2133922Z [  SKIPPED ] NVFuserTest.FusionPrint_CUDA (0 ms)
2022-11-23T03:26:19.2134399Z [ RUN      ] NVFuserTest.FusionCheckedSymbolicShape_CUDA
2022-11-23T03:26:19.2134831Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2135232Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2135750Z [  SKIPPED ] NVFuserTest.FusionCheckedSymbolicShape_CUDA (0 ms)
2022-11-23T03:26:19.2136645Z [ RUN      ] NVFuserTest.FusionSizeDependentData_CUDA
2022-11-23T03:26:19.2137078Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2137471Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2137930Z [  SKIPPED ] NVFuserTest.FusionSizeDependentData_CUDA (0 ms)
2022-11-23T03:26:19.2138427Z [ RUN      ] NVFuserTest.FusionDependencyCheck_CUDA
2022-11-23T03:26:19.2138830Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2139240Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2139685Z [  SKIPPED ] NVFuserTest.FusionDependencyCheck_CUDA (0 ms)
2022-11-23T03:26:19.2140210Z [ RUN      ] NVFuserTest.FusionScheduleTransposeRepro1_CUDA
2022-11-23T03:26:19.2140638Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2141042Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2141528Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeRepro1_CUDA (0 ms)
2022-11-23T03:26:19.2142062Z [ RUN      ] NVFuserTest.FusionInlineBroadcastIndexing0_CUDA
2022-11-23T03:26:19.2142511Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2142918Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2143406Z [  SKIPPED ] NVFuserTest.FusionInlineBroadcastIndexing0_CUDA (0 ms)
2022-11-23T03:26:19.2143915Z [ RUN      ] NVFuserTest.FusionPredicateUnshare_CUDA
2022-11-23T03:26:19.2144331Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2144739Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2145174Z [  SKIPPED ] NVFuserTest.FusionPredicateUnshare_CUDA (0 ms)
2022-11-23T03:26:19.2145647Z [ RUN      ] NVFuserTest.AsyncCompilation_CUDA
2022-11-23T03:26:19.2146049Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2146641Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2147064Z [  SKIPPED ] NVFuserTest.AsyncCompilation_CUDA (0 ms)
2022-11-23T03:26:19.2147612Z [ RUN      ] NVFuserTest.FusionMergeBroadcastingTrivialReduction1_CUDA
2022-11-23T03:26:19.2148093Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2148488Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2149020Z [  SKIPPED ] NVFuserTest.FusionMergeBroadcastingTrivialReduction1_CUDA (0 ms)
2022-11-23T03:26:19.2149652Z [ RUN      ] NVFuserTest.FusionMergeBroadcastingTrivialReduction2_CUDA
2022-11-23T03:26:19.2150119Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2150522Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2151053Z [  SKIPPED ] NVFuserTest.FusionMergeBroadcastingTrivialReduction2_CUDA (0 ms)
2022-11-23T03:26:19.2151587Z [ RUN      ] NVFuserTest.FusionNullScheduler_CUDA
2022-11-23T03:26:19.2152003Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2152407Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2152847Z [  SKIPPED ] NVFuserTest.FusionNullScheduler_CUDA (0 ms)
2022-11-23T03:26:19.2153302Z [ RUN      ] NVFuserTest.FusionNullScheduler2_CUDA
2022-11-23T03:26:19.2153805Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2154229Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2154655Z [  SKIPPED ] NVFuserTest.FusionNullScheduler2_CUDA (0 ms)
2022-11-23T03:26:19.2155137Z [ RUN      ] NVFuserTest.FusionNullScheduler3_CUDA
2022-11-23T03:26:19.2155548Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2155935Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2156376Z [  SKIPPED ] NVFuserTest.FusionNullScheduler3_CUDA (0 ms)
2022-11-23T03:26:19.2156833Z [ RUN      ] NVFuserTest.FusionEmpty_CUDA
2022-11-23T03:26:19.2157233Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2157623Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2158032Z [  SKIPPED ] NVFuserTest.FusionEmpty_CUDA (0 ms)
2022-11-23T03:26:19.2158498Z [ RUN      ] NVFuserTest.FusionMappingRelation_CUDA
2022-11-23T03:26:19.2158898Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2159308Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2159753Z [  SKIPPED ] NVFuserTest.FusionMappingRelation_CUDA (0 ms)
2022-11-23T03:26:19.2160197Z [ RUN      ] NVFuserTest.FusionInlineAt_CUDA
2022-11-23T03:26:19.2160592Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2160994Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2161418Z [  SKIPPED ] NVFuserTest.FusionInlineAt_CUDA (0 ms)
2022-11-23T03:26:19.2161896Z [ RUN      ] NVFuserTest.FusionTrivialInputForwarding_CUDA
2022-11-23T03:26:19.2162333Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2162739Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2163197Z [  SKIPPED ] NVFuserTest.FusionTrivialInputForwarding_CUDA (0 ms)
2022-11-23T03:26:19.2163735Z [ RUN      ] NVFuserTest.FusionTrivialInputForwarding2_CUDA
2022-11-23T03:26:19.2164182Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2164575Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2165057Z [  SKIPPED ] NVFuserTest.FusionTrivialInputForwarding2_CUDA (0 ms)
2022-11-23T03:26:19.2165660Z [ RUN      ] NVFuserTest.FusionReplayTrivialReductionAndBroadcast2_CUDA
2022-11-23T03:26:19.2166147Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2166638Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2167175Z [  SKIPPED ] NVFuserTest.FusionReplayTrivialReductionAndBroadcast2_CUDA (0 ms)
2022-11-23T03:26:19.2167784Z [ RUN      ] NVFuserTest.FusionVectorizeStrideContiguity2D_CUDA
2022-11-23T03:26:19.2168222Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2168641Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2169139Z [  SKIPPED ] NVFuserTest.FusionVectorizeStrideContiguity2D_CUDA (0 ms)
2022-11-23T03:26:19.2169712Z [ RUN      ] NVFuserTest.FusionVectorizeStrideContiguity3D_CUDA
2022-11-23T03:26:19.2170152Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2170561Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2171059Z [  SKIPPED ] NVFuserTest.FusionVectorizeStrideContiguity3D_CUDA (0 ms)
2022-11-23T03:26:19.2171613Z [ RUN      ] NVFuserTest.FusionVectorizeStrideContiguity5D_CUDA
2022-11-23T03:26:19.2172074Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2172476Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2172952Z [  SKIPPED ] NVFuserTest.FusionVectorizeStrideContiguity5D_CUDA (0 ms)
2022-11-23T03:26:19.2173660Z [ RUN      ] NVFuserTest.FusionVectorizeStrideContiguitySelfOverlapping_CUDA
2022-11-23T03:26:19.2174173Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2174579Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2175117Z [  SKIPPED ] NVFuserTest.FusionVectorizeStrideContiguitySelfOverlapping_CUDA (0 ms)
2022-11-23T03:26:19.2175712Z [ RUN      ] NVFuserTest.FusionSimpleAmperePipeline_CUDA
2022-11-23T03:26:19.2176667Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2177222Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2177702Z [  SKIPPED ] NVFuserTest.FusionSimpleAmperePipeline_CUDA (0 ms)
2022-11-23T03:26:19.2178203Z [ RUN      ] NVFuserTest.FusionStandaloneFull_CUDA
2022-11-23T03:26:19.2178618Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2179004Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2179446Z [  SKIPPED ] NVFuserTest.FusionStandaloneFull_CUDA (0 ms)
2022-11-23T03:26:19.2179927Z [ RUN      ] NVFuserTest.FusionStandaloneZeros_CUDA
2022-11-23T03:26:19.2180322Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2180724Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2181174Z [  SKIPPED ] NVFuserTest.FusionStandaloneZeros_CUDA (0 ms)
2022-11-23T03:26:19.2181639Z [ RUN      ] NVFuserTest.FusionStandaloneOnes_CUDA
2022-11-23T03:26:19.2182051Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2182461Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2182904Z [  SKIPPED ] NVFuserTest.FusionStandaloneOnes_CUDA (0 ms)
2022-11-23T03:26:19.2183374Z [ RUN      ] NVFuserTest.FusionStandaloneARange_CUDA
2022-11-23T03:26:19.2183789Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2184203Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2184690Z [  SKIPPED ] NVFuserTest.FusionStandaloneARange_CUDA (0 ms)
2022-11-23T03:26:19.2185175Z [ RUN      ] NVFuserTest.FusionStandaloneEye_CUDA
2022-11-23T03:26:19.2185586Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2185973Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2186410Z [  SKIPPED ] NVFuserTest.FusionStandaloneEye_CUDA (0 ms)
2022-11-23T03:26:19.2186885Z [ RUN      ] NVFuserTest.FusionGridAllreduce1_CUDA
2022-11-23T03:26:19.2187519Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2187908Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2188344Z [  SKIPPED ] NVFuserTest.FusionGridAllreduce1_CUDA (0 ms)
2022-11-23T03:26:19.2188822Z [ RUN      ] NVFuserTest.FusionGridAllreduce2_CUDA
2022-11-23T03:26:19.2189216Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2189629Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2190068Z [  SKIPPED ] NVFuserTest.FusionGridAllreduce2_CUDA (0 ms)
2022-11-23T03:26:19.2190533Z [ RUN      ] NVFuserTest.FusionGridAllreduce3_CUDA
2022-11-23T03:26:19.2190945Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2191348Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2191788Z [  SKIPPED ] NVFuserTest.FusionGridAllreduce3_CUDA (0 ms)
2022-11-23T03:26:19.2192249Z [ RUN      ] NVFuserTest.FusionGridAllreduce4_CUDA
2022-11-23T03:26:19.2192661Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2193062Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2193482Z [  SKIPPED ] NVFuserTest.FusionGridAllreduce4_CUDA (0 ms)
2022-11-23T03:26:19.2194040Z [ RUN      ] NVFuserTest.FusionGridAllreduce5_CUDA
2022-11-23T03:26:19.2194464Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2194850Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2195286Z [  SKIPPED ] NVFuserTest.FusionGridAllreduce5_CUDA (0 ms)
2022-11-23T03:26:19.2195766Z [ RUN      ] NVFuserTest.FusionGridAllreduce6_CUDA
2022-11-23T03:26:19.2196177Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2196563Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2197004Z [  SKIPPED ] NVFuserTest.FusionGridAllreduce6_CUDA (0 ms)
2022-11-23T03:26:19.2197510Z [ RUN      ] NVFuserTest.FusionGridAllreduceWelford1_CUDA
2022-11-23T03:26:19.2197927Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2198336Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2198812Z [  SKIPPED ] NVFuserTest.FusionGridAllreduceWelford1_CUDA (0 ms)
2022-11-23T03:26:19.2199324Z [ RUN      ] NVFuserTest.FusionGridAllreduceWelford2_CUDA
2022-11-23T03:26:19.2199757Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2200192Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2200664Z [  SKIPPED ] NVFuserTest.FusionGridAllreduceWelford2_CUDA (0 ms)
2022-11-23T03:26:19.2231165Z [ RUN      ] NVFuserTest.FusionFusedReductionBatchnorm_CUDA
2022-11-23T03:26:19.2231983Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2232643Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2233189Z [  SKIPPED ] NVFuserTest.FusionFusedReductionBatchnorm_CUDA (0 ms)
2022-11-23T03:26:19.2233763Z [ RUN      ] NVFuserTest.FusionGroupedReduction1_CUDA
2022-11-23T03:26:19.2234201Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2234674Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2235175Z [  SKIPPED ] NVFuserTest.FusionGroupedReduction1_CUDA (0 ms)
2022-11-23T03:26:19.2235757Z [ RUN      ] NVFuserTest.FusionGroupedReduction2_CUDA
2022-11-23T03:26:19.2236221Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2236672Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2237147Z [  SKIPPED ] NVFuserTest.FusionGroupedReduction2_CUDA (0 ms)
2022-11-23T03:26:19.2237675Z [ RUN      ] NVFuserTest.FusionGroupedReduction3_CUDA
2022-11-23T03:26:19.2238603Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2239059Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2239519Z [  SKIPPED ] NVFuserTest.FusionGroupedReduction3_CUDA (0 ms)
2022-11-23T03:26:19.2240053Z [ RUN      ] NVFuserTest.FusionGroupedReduction4_CUDA
2022-11-23T03:26:19.2240513Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2240943Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2241438Z [  SKIPPED ] NVFuserTest.FusionGroupedReduction4_CUDA (0 ms)
2022-11-23T03:26:19.2241979Z [ RUN      ] NVFuserTest.FusionGroupedReduction5_CUDA
2022-11-23T03:26:19.2242413Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2242859Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2243354Z [  SKIPPED ] NVFuserTest.FusionGroupedReduction5_CUDA (0 ms)
2022-11-23T03:26:19.2243898Z [ RUN      ] NVFuserTest.FusionGroupedReduction6_CUDA
2022-11-23T03:26:19.2244342Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2244792Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2245287Z [  SKIPPED ] NVFuserTest.FusionGroupedReduction6_CUDA (0 ms)
2022-11-23T03:26:19.2245924Z [ RUN      ] NVFuserTest.FusionGroupedReduction7_CUDA
2022-11-23T03:26:19.2246401Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2246857Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2247335Z [  SKIPPED ] NVFuserTest.FusionGroupedReduction7_CUDA (0 ms)
2022-11-23T03:26:19.2247896Z [ RUN      ] NVFuserTest.FusionGroupedReductionRfactor1_CUDA
2022-11-23T03:26:19.2248386Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2248839Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2249350Z [  SKIPPED ] NVFuserTest.FusionGroupedReductionRfactor1_CUDA (0 ms)
2022-11-23T03:26:19.2249953Z [ RUN      ] NVFuserTest.FusionGroupedReductionRfactor2_CUDA
2022-11-23T03:26:19.2250437Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2250856Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2251384Z [  SKIPPED ] NVFuserTest.FusionGroupedReductionRfactor2_CUDA (0 ms)
2022-11-23T03:26:19.2252015Z [ RUN      ] NVFuserTest.FusionGroupedReductionAfterComputeAt_CUDA
2022-11-23T03:26:19.2252519Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2252927Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2253464Z [  SKIPPED ] NVFuserTest.FusionGroupedReductionAfterComputeAt_CUDA (0 ms)
2022-11-23T03:26:19.2254025Z [ RUN      ] NVFuserTest.FusionGroupAllreduce1_CUDA
2022-11-23T03:26:19.2254437Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2254869Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2255333Z [  SKIPPED ] NVFuserTest.FusionGroupAllreduce1_CUDA (0 ms)
2022-11-23T03:26:19.2255815Z [ RUN      ] NVFuserTest.FusionGroupAllreduce2_CUDA
2022-11-23T03:26:19.2256628Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2257083Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2257554Z [  SKIPPED ] NVFuserTest.FusionGroupAllreduce2_CUDA (0 ms)
2022-11-23T03:26:19.2258027Z [ RUN      ] NVFuserTest.FusionGroupAllreduce3_CUDA
2022-11-23T03:26:19.2258508Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2258929Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2259361Z [  SKIPPED ] NVFuserTest.FusionGroupAllreduce3_CUDA (0 ms)
2022-11-23T03:26:19.2259857Z [ RUN      ] NVFuserTest.FusionGroupAllreduce4_CUDA
2022-11-23T03:26:19.2260440Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2260841Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2261301Z [  SKIPPED ] NVFuserTest.FusionGroupAllreduce4_CUDA (0 ms)
2022-11-23T03:26:19.2261795Z [ RUN      ] NVFuserTest.FusionGroupAllreduce5_CUDA
2022-11-23T03:26:19.2262231Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2262634Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2263091Z [  SKIPPED ] NVFuserTest.FusionGroupAllreduce5_CUDA (0 ms)
2022-11-23T03:26:19.2263646Z [ RUN      ] NVFuserTest.FusionPersistentBNBackwardAllreduce_CUDA
2022-11-23T03:26:19.2264102Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2264539Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2265044Z [  SKIPPED ] NVFuserTest.FusionPersistentBNBackwardAllreduce_CUDA (0 ms)
2022-11-23T03:26:19.2265626Z [ RUN      ] NVFuserTest.FusionGroupedReductionReEntrant1_CUDA
2022-11-23T03:26:19.2266090Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2266512Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2267019Z [  SKIPPED ] NVFuserTest.FusionGroupedReductionReEntrant1_CUDA (0 ms)
2022-11-23T03:26:19.2267744Z [ RUN      ] NVFuserTest.FusionGroupedReductionChannelsLastBatchNormLike_CUDA
2022-11-23T03:26:19.2268285Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2268704Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2269252Z [  SKIPPED ] NVFuserTest.FusionGroupedReductionChannelsLastBatchNormLike_CUDA (0 ms)
2022-11-23T03:26:19.2270013Z [ RUN      ] NVFuserTest.FusionGroupedReductionPersistentChannelsLastBatchNormLike_CUDA
2022-11-23T03:26:19.2270579Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2271010Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2271612Z [  SKIPPED ] NVFuserTest.FusionGroupedReductionPersistentChannelsLastBatchNormLike_CUDA (0 ms)
2022-11-23T03:26:19.2272336Z [ RUN      ] NVFuserTest.FusionCrossIterationGroupedGridAllreduce1_CUDA
2022-11-23T03:26:19.2272839Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2273239Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2273785Z [  SKIPPED ] NVFuserTest.FusionCrossIterationGroupedGridAllreduce1_CUDA (0 ms)
2022-11-23T03:26:19.2274434Z [ RUN      ] NVFuserTest.FusionCrossIterationGroupedGridAllreduce2_CUDA
2022-11-23T03:26:19.2274933Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2275334Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2275870Z [  SKIPPED ] NVFuserTest.FusionCrossIterationGroupedGridAllreduce2_CUDA (0 ms)
2022-11-23T03:26:19.2276532Z [ RUN      ] NVFuserTest.FusionCrossIterationGroupedGridAllreduce3_CUDA
2022-11-23T03:26:19.2277006Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2277425Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2277980Z [  SKIPPED ] NVFuserTest.FusionCrossIterationGroupedGridAllreduce3_CUDA (0 ms)
2022-11-23T03:26:19.2278689Z [ RUN      ] NVFuserTest.FusionCrossIterationGroupedGridAllreduce4_CUDA
2022-11-23T03:26:19.2279183Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2279604Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2280146Z [  SKIPPED ] NVFuserTest.FusionCrossIterationGroupedGridAllreduce4_CUDA (0 ms)
2022-11-23T03:26:19.2280805Z [ RUN      ] NVFuserTest.FusionCrossIterationGroupedGridAllreduceWelford1_CUDA
2022-11-23T03:26:19.2281331Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2281848Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2282400Z [  SKIPPED ] NVFuserTest.FusionCrossIterationGroupedGridAllreduceWelford1_CUDA (0 ms)
2022-11-23T03:26:19.2283124Z [ RUN      ] NVFuserTest.FusionCrossIterationGroupedGridAllreduceWelford2_CUDA
2022-11-23T03:26:19.2283660Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2284084Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2284638Z [  SKIPPED ] NVFuserTest.FusionCrossIterationGroupedGridAllreduceWelford2_CUDA (0 ms)
2022-11-23T03:26:19.2285383Z [ RUN      ] NVFuserTest.FusionCrossIterationGroupedGridAllreduceWelfordShmoo_CUDA
2022-11-23T03:26:19.2285938Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2286342Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2286950Z [  SKIPPED ] NVFuserTest.FusionCrossIterationGroupedGridAllreduceWelfordShmoo_CUDA (0 ms)
2022-11-23T03:26:19.2287547Z [ RUN      ] NVFuserTest.FusionShift1_CUDA
2022-11-23T03:26:19.2287958Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2288361Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2288794Z [  SKIPPED ] NVFuserTest.FusionShift1_CUDA (0 ms)
2022-11-23T03:26:19.2289320Z [ RUN      ] NVFuserTest.FusionShift2_CUDA
2022-11-23T03:26:19.2289710Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2290130Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2290557Z [  SKIPPED ] NVFuserTest.FusionShift2_CUDA (0 ms)
2022-11-23T03:26:19.2291004Z [ RUN      ] NVFuserTest.FusionShiftRightOfCA_CUDA
2022-11-23T03:26:19.2291431Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2291854Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2292294Z [  SKIPPED ] NVFuserTest.FusionShiftRightOfCA_CUDA (0 ms)
2022-11-23T03:26:19.2292794Z [ RUN      ] NVFuserTest.FusionShiftLeftOfCA_CUDA
2022-11-23T03:26:19.2293218Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2293641Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2294070Z [  SKIPPED ] NVFuserTest.FusionShiftLeftOfCA_CUDA (0 ms)
2022-11-23T03:26:19.2294547Z [ RUN      ] NVFuserTest.FusionShiftSplit1_CUDA
2022-11-23T03:26:19.2294960Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2295355Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2295625Z [  SKIPPED ] NVFuserTest.FusionShiftSplit1_CUDA (0 ms)
2022-11-23T03:26:19.2295876Z [ RUN      ] NVFuserTest.FusionShiftSplit2_CUDA
2022-11-23T03:26:19.2296427Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2296659Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2296914Z [  SKIPPED ] NVFuserTest.FusionShiftSplit2_CUDA (0 ms)
2022-11-23T03:26:19.2297182Z [ RUN      ] NVFuserTest.FusionShiftDoubleSplit_CUDA
2022-11-23T03:26:19.2297369Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2297570Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2297856Z [  SKIPPED ] NVFuserTest.FusionShiftDoubleSplit_CUDA (0 ms)
2022-11-23T03:26:19.2298126Z [ RUN      ] NVFuserTest.FusionShift3ptStencil_CUDA
2022-11-23T03:26:19.2298331Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2298522Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2298803Z [  SKIPPED ] NVFuserTest.FusionShift3ptStencil_CUDA (0 ms)
2022-11-23T03:26:19.2299064Z [ RUN      ] NVFuserTest.FusionShift5ptStencil_CUDA
2022-11-23T03:26:19.2299249Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2299632Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2299916Z [  SKIPPED ] NVFuserTest.FusionShift5ptStencil_CUDA (0 ms)
2022-11-23T03:26:19.2300178Z [ RUN      ] NVFuserTest.FusionShift9ptStencil_CUDA
2022-11-23T03:26:19.2300389Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2300574Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2300860Z [  SKIPPED ] NVFuserTest.FusionShift9ptStencil_CUDA (0 ms)
2022-11-23T03:26:19.2301141Z [ RUN      ] NVFuserTest.FusionShiftSmemBlocking_CUDA
2022-11-23T03:26:19.2301328Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2301518Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2301813Z [  SKIPPED ] NVFuserTest.FusionShiftSmemBlocking_CUDA (0 ms)
2022-11-23T03:26:19.2302106Z [ RUN      ] NVFuserTest.FusionShift3ptStencilParallel_CUDA
2022-11-23T03:26:19.2302324Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2302517Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2302835Z [  SKIPPED ] NVFuserTest.FusionShift3ptStencilParallel_CUDA (0 ms)
2022-11-23T03:26:19.2303243Z [ RUN      ] NVFuserTest.FusionShift5ptStencilParallel_CUDA
2022-11-23T03:26:19.2303444Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2303633Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2303946Z [  SKIPPED ] NVFuserTest.FusionShift5ptStencilParallel_CUDA (0 ms)
2022-11-23T03:26:19.2304189Z [ RUN      ] NVFuserTest.FusionShiftMerge1_CUDA
2022-11-23T03:26:19.2304399Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2304588Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2304852Z [  SKIPPED ] NVFuserTest.FusionShiftMerge1_CUDA (0 ms)
2022-11-23T03:26:19.2305080Z [ RUN      ] NVFuserTest.FusionShiftMerge2_CUDA
2022-11-23T03:26:19.2305289Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2305476Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2305741Z [  SKIPPED ] NVFuserTest.FusionShiftMerge2_CUDA (0 ms)
2022-11-23T03:26:19.2305993Z [ RUN      ] NVFuserTest.FusionShiftGlobal_CUDA
2022-11-23T03:26:19.2306201Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2306392Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2306635Z [  SKIPPED ] NVFuserTest.FusionShiftGlobal_CUDA (0 ms)
2022-11-23T03:26:19.2306931Z [ RUN      ] NVFuserTest.FusionShiftDoubleSplitMerge1_CUDA
2022-11-23T03:26:19.2307144Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2307336Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2307657Z [  SKIPPED ] NVFuserTest.FusionShiftDoubleSplitMerge1_CUDA (0 ms)
2022-11-23T03:26:19.2307952Z [ RUN      ] NVFuserTest.FusionShiftDoubleSplitMerge2_CUDA
2022-11-23T03:26:19.2308161Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2308348Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2308638Z [  SKIPPED ] NVFuserTest.FusionShiftDoubleSplitMerge2_CUDA (0 ms)
2022-11-23T03:26:19.2308995Z [ RUN      ] NVFuserTest.FusionShift5ptStencilParallel1DThreadBlock_CUDA
2022-11-23T03:26:19.2309208Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2309395Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2309770Z [  SKIPPED ] NVFuserTest.FusionShift5ptStencilParallel1DThreadBlock_CUDA (0 ms)
2022-11-23T03:26:19.2310017Z [ RUN      ] NVFuserTest.FusionShiftChain1_CUDA
2022-11-23T03:26:19.2310298Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2310491Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2310734Z [  SKIPPED ] NVFuserTest.FusionShiftChain1_CUDA (0 ms)
2022-11-23T03:26:19.2310980Z [ RUN      ] NVFuserTest.FusionShiftChain2_CUDA
2022-11-23T03:26:19.2311191Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2311384Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2311647Z [  SKIPPED ] NVFuserTest.FusionShiftChain2_CUDA (0 ms)
2022-11-23T03:26:19.2311890Z [ RUN      ] NVFuserTest.FusionShiftChain3_CUDA
2022-11-23T03:26:19.2312097Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2312289Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2312533Z [  SKIPPED ] NVFuserTest.FusionShiftChain3_CUDA (0 ms)
2022-11-23T03:26:19.2312783Z [ RUN      ] NVFuserTest.FusionShiftChain4_CUDA
2022-11-23T03:26:19.2312997Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2313187Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2313454Z [  SKIPPED ] NVFuserTest.FusionShiftChain4_CUDA (0 ms)
2022-11-23T03:26:19.2313740Z [ RUN      ] NVFuserTest.FusionShift5ptStencilChain_CUDA
2022-11-23T03:26:19.2314017Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2314191Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2314499Z [  SKIPPED ] NVFuserTest.FusionShift5ptStencilChain_CUDA (0 ms)
2022-11-23T03:26:19.2314774Z [ RUN      ] NVFuserTest.FusionShiftReduction1_CUDA
2022-11-23T03:26:19.2314981Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2315166Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2315453Z [  SKIPPED ] NVFuserTest.FusionShiftReduction1_CUDA (0 ms)
2022-11-23T03:26:19.2315723Z [ RUN      ] NVFuserTest.FusionShiftReduction2_CUDA
2022-11-23T03:26:19.2315928Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2316091Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2316370Z [  SKIPPED ] NVFuserTest.FusionShiftReduction2_CUDA (0 ms)
2022-11-23T03:26:19.2316634Z [ RUN      ] NVFuserTest.FusionShiftRfactor1_CUDA
2022-11-23T03:26:19.2316848Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2317042Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2317316Z [  SKIPPED ] NVFuserTest.FusionShiftRfactor1_CUDA (0 ms)
2022-11-23T03:26:19.2317562Z [ RUN      ] NVFuserTest.FusionShiftBcast1_CUDA
2022-11-23T03:26:19.2317744Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2317935Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2318209Z [  SKIPPED ] NVFuserTest.FusionShiftBcast1_CUDA (0 ms)
2022-11-23T03:26:19.2318455Z [ RUN      ] NVFuserTest.FusionShiftBcast2_CUDA
2022-11-23T03:26:19.2318662Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2318848Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2319116Z [  SKIPPED ] NVFuserTest.FusionShiftBcast2_CUDA (0 ms)
2022-11-23T03:26:19.2319363Z [ RUN      ] NVFuserTest.FusionShiftBcast3_CUDA
2022-11-23T03:26:19.2319550Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2319740Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2320009Z [  SKIPPED ] NVFuserTest.FusionShiftBcast3_CUDA (0 ms)
2022-11-23T03:26:19.2320291Z [ RUN      ] NVFuserTest.FusionShiftSyncPlacement1_CUDA
2022-11-23T03:26:19.2320500Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2320765Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2321065Z [  SKIPPED ] NVFuserTest.FusionShiftSyncPlacement1_CUDA (0 ms)
2022-11-23T03:26:19.2321345Z [ RUN      ] NVFuserTest.FusionShiftSyncPlacement2_CUDA
2022-11-23T03:26:19.2321536Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2321736Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2322038Z [  SKIPPED ] NVFuserTest.FusionShiftSyncPlacement2_CUDA (0 ms)
2022-11-23T03:26:19.2322269Z [ RUN      ] NVFuserTest.FusionHdiff_CUDA
2022-11-23T03:26:19.2322481Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2322673Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2322919Z [  SKIPPED ] NVFuserTest.FusionHdiff_CUDA (0 ms)
2022-11-23T03:26:19.2323203Z [ RUN      ] NVFuserTest.FusionHdiffPartialSplitUnswitch_CUDA
2022-11-23T03:26:19.2323416Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2323614Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2323948Z [  SKIPPED ] NVFuserTest.FusionHdiffPartialSplitUnswitch_CUDA (0 ms)
2022-11-23T03:26:19.2324198Z [ RUN      ] NVFuserTest.FusionMaxPooling_CUDA
2022-11-23T03:26:19.2324478Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2324677Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2324948Z [  SKIPPED ] NVFuserTest.FusionMaxPooling_CUDA (0 ms)
2022-11-23T03:26:19.2325159Z [ RUN      ] NVFuserTest.FusionGather1_CUDA
2022-11-23T03:26:19.2325372Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2325561Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2325822Z [  SKIPPED ] NVFuserTest.FusionGather1_CUDA (0 ms)
2022-11-23T03:26:19.2326060Z [ RUN      ] NVFuserTest.FusionGather2_CUDA
2022-11-23T03:26:19.2326282Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2326470Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2326698Z [  SKIPPED ] NVFuserTest.FusionGather2_CUDA (0 ms)
2022-11-23T03:26:19.2326931Z [ RUN      ] NVFuserTest.FusionGather3_CUDA
2022-11-23T03:26:19.2327143Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2327333Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2327585Z [  SKIPPED ] NVFuserTest.FusionGather3_CUDA (0 ms)
2022-11-23T03:26:19.2327823Z [ RUN      ] NVFuserTest.FusionGather4_CUDA
2022-11-23T03:26:19.2328036Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2328226Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2328458Z [  SKIPPED ] NVFuserTest.FusionGather4_CUDA (0 ms)
2022-11-23T03:26:19.2328686Z [ RUN      ] NVFuserTest.FusionGather5_CUDA
2022-11-23T03:26:19.2328903Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2329090Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2329342Z [  SKIPPED ] NVFuserTest.FusionGather5_CUDA (0 ms)
2022-11-23T03:26:19.2329575Z [ RUN      ] NVFuserTest.FusionGather6_CUDA
2022-11-23T03:26:19.2329788Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2329952Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2330202Z [  SKIPPED ] NVFuserTest.FusionGather6_CUDA (0 ms)
2022-11-23T03:26:19.2330441Z [ RUN      ] NVFuserTest.FusionGather7_CUDA
2022-11-23T03:26:19.2330652Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2330838Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2331091Z [  SKIPPED ] NVFuserTest.FusionGather7_CUDA (0 ms)
2022-11-23T03:26:19.2331450Z [ RUN      ] NVFuserTest.FusionGather8_CUDA
2022-11-23T03:26:19.2331661Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2331826Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2332080Z [  SKIPPED ] NVFuserTest.FusionGather8_CUDA (0 ms)
2022-11-23T03:26:19.2332317Z [ RUN      ] NVFuserTest.FusionGather9_CUDA
2022-11-23T03:26:19.2332535Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2332726Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2332981Z [  SKIPPED ] NVFuserTest.FusionGather9_CUDA (0 ms)
2022-11-23T03:26:19.2333212Z [ RUN      ] NVFuserTest.FusionConv2D_CUDA
2022-11-23T03:26:19.2333396Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2333584Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2333838Z [  SKIPPED ] NVFuserTest.FusionConv2D_CUDA (0 ms)
2022-11-23T03:26:19.2334108Z [ RUN      ] NVFuserTest.FusionConv2DNoPadding_CUDA
2022-11-23T03:26:19.2334321Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2334508Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2334793Z [  SKIPPED ] NVFuserTest.FusionConv2DNoPadding_CUDA (0 ms)
2022-11-23T03:26:19.2335226Z [ RUN      ] NVFuserTest.FusionConv2DNoPaddingStrided_CUDA
2022-11-23T03:26:19.2335420Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2335614Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2336004Z [  SKIPPED ] NVFuserTest.FusionConv2DNoPaddingStrided_CUDA (0 ms)
2022-11-23T03:26:19.2336523Z [ RUN      ] NVFuserTest.FusionConv2DChain_CUDA
2022-11-23T03:26:19.2336741Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2336936Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2337213Z [  SKIPPED ] NVFuserTest.FusionConv2DChain_CUDA (0 ms)
2022-11-23T03:26:19.2337525Z [ RUN      ] NVFuserTest.FusionConv2DStaticEvenSizedWindow_CUDA
2022-11-23T03:26:19.2337711Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2337901Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2338240Z [  SKIPPED ] NVFuserTest.FusionConv2DStaticEvenSizedWindow_CUDA (0 ms)
2022-11-23T03:26:19.2338499Z [ RUN      ] NVFuserTest.FusionConv4x4Pad1x1_CUDA
2022-11-23T03:26:19.2338707Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2338900Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2339178Z [  SKIPPED ] NVFuserTest.FusionConv4x4Pad1x1_CUDA (0 ms)
2022-11-23T03:26:19.2339410Z [ RUN      ] NVFuserTest.FusionConv4x5Pad1x2_CUDA
2022-11-23T03:26:19.2339620Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2339817Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2340095Z [  SKIPPED ] NVFuserTest.FusionConv4x5Pad1x2_CUDA (0 ms)
2022-11-23T03:26:19.2340372Z [ RUN      ] NVFuserTest.FusionConv4x4Pad1x1Stride4_CUDA
2022-11-23T03:26:19.2340582Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2340778Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2341085Z [  SKIPPED ] NVFuserTest.FusionConv4x4Pad1x1Stride4_CUDA (0 ms)
2022-11-23T03:26:19.2341293Z [ RUN      ] NVFuserTest.FusionIm2Col_CUDA
2022-11-23T03:26:19.2341499Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2341691Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2341940Z [  SKIPPED ] NVFuserTest.FusionIm2Col_CUDA (0 ms)
2022-11-23T03:26:19.2342207Z [ RUN      ] NVFuserTest.FusionShiftNoPadding1_CUDA
2022-11-23T03:26:19.2342567Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2342759Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2343023Z [  SKIPPED ] NVFuserTest.FusionShiftNoPadding1_CUDA (0 ms)
2022-11-23T03:26:19.2343285Z [ RUN      ] NVFuserTest.FusionShiftNoPadding2_CUDA
2022-11-23T03:26:19.2343500Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2343694Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2343979Z [  SKIPPED ] NVFuserTest.FusionShiftNoPadding2_CUDA (0 ms)
2022-11-23T03:26:19.2344261Z [ RUN      ] NVFuserTest.FusionShiftNoPadding3_CUDA
2022-11-23T03:26:19.2344451Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2344639Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2344899Z [  SKIPPED ] NVFuserTest.FusionShiftNoPadding3_CUDA (0 ms)
2022-11-23T03:26:19.2345213Z [ RUN      ] NVFuserTest.FusionShiftNoPaddingContigMerge_CUDA
2022-11-23T03:26:19.2345427Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2345620Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2345950Z [  SKIPPED ] NVFuserTest.FusionShiftNoPaddingContigMerge_CUDA (0 ms)
2022-11-23T03:26:19.2346305Z [ RUN      ] NVFuserTest.FusionShiftNoPaddingChain_CUDA
2022-11-23T03:26:19.2346524Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2346712Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2346991Z [  SKIPPED ] NVFuserTest.FusionShiftNoPaddingChain_CUDA (0 ms)
2022-11-23T03:26:19.2347275Z [ RUN      ] NVFuserTest.FusionShiftNoPaddingRfactor_CUDA
2022-11-23T03:26:19.2347485Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2347676Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2347992Z [  SKIPPED ] NVFuserTest.FusionShiftNoPaddingRfactor_CUDA (0 ms)
2022-11-23T03:26:19.2348248Z [ RUN      ] NVFuserTest.FusionShiftPadding1_CUDA
2022-11-23T03:26:19.2348461Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2348625Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2348909Z [  SKIPPED ] NVFuserTest.FusionShiftPadding1_CUDA (0 ms)
2022-11-23T03:26:19.2349169Z [ RUN      ] NVFuserTest.FusionPartialSplit1_CUDA
2022-11-23T03:26:19.2349380Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2349564Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2349844Z [  SKIPPED ] NVFuserTest.FusionPartialSplit1_CUDA (0 ms)
2022-11-23T03:26:19.2350097Z [ RUN      ] NVFuserTest.FusionPartialSplit2_CUDA
2022-11-23T03:26:19.2350302Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2350469Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2350741Z [  SKIPPED ] NVFuserTest.FusionPartialSplit2_CUDA (0 ms)
2022-11-23T03:26:19.2350993Z [ RUN      ] NVFuserTest.FusionPartialSplit3_CUDA
2022-11-23T03:26:19.2351203Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2351392Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2351673Z [  SKIPPED ] NVFuserTest.FusionPartialSplit3_CUDA (0 ms)
2022-11-23T03:26:19.2351934Z [ RUN      ] NVFuserTest.FusionPartialSplit4_CUDA
2022-11-23T03:26:19.2352142Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2352306Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2352581Z [  SKIPPED ] NVFuserTest.FusionPartialSplit4_CUDA (0 ms)
2022-11-23T03:26:19.2352839Z [ RUN      ] NVFuserTest.FusionPartialSplit5_CUDA
2022-11-23T03:26:19.2353052Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2353309Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2353581Z [  SKIPPED ] NVFuserTest.FusionPartialSplit5_CUDA (0 ms)
2022-11-23T03:26:19.2353834Z [ RUN      ] NVFuserTest.FusionPartialSplit6_CUDA
2022-11-23T03:26:19.2354016Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2354209Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2354484Z [  SKIPPED ] NVFuserTest.FusionPartialSplit6_CUDA (0 ms)
2022-11-23T03:26:19.2354744Z [ RUN      ] NVFuserTest.FusionShiftUnswitch1_CUDA
2022-11-23T03:26:19.2354950Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2355144Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2355424Z [  SKIPPED ] NVFuserTest.FusionShiftUnswitch1_CUDA (0 ms)
2022-11-23T03:26:19.2355687Z [ RUN      ] NVFuserTest.FusionGatherUnswitch1_CUDA
2022-11-23T03:26:19.2355879Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2356073Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2356426Z [  SKIPPED ] NVFuserTest.FusionGatherUnswitch1_CUDA (0 ms)
2022-11-23T03:26:19.2356720Z [ RUN      ] NVFuserTest.FusionGatherStrided1_CUDA
2022-11-23T03:26:19.2356984Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2357181Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2357461Z [  SKIPPED ] NVFuserTest.FusionGatherStrided1_CUDA (0 ms)
2022-11-23T03:26:19.2357693Z [ RUN      ] NVFuserTest.FusionGatherStrided2_CUDA
2022-11-23T03:26:19.2357903Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2358088Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2358366Z [  SKIPPED ] NVFuserTest.FusionGatherStrided2_CUDA (0 ms)
2022-11-23T03:26:19.2358626Z [ RUN      ] NVFuserTest.FusionGatherStrided3_CUDA
2022-11-23T03:26:19.2358832Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2359027Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2359309Z [  SKIPPED ] NVFuserTest.FusionGatherStrided3_CUDA (0 ms)
2022-11-23T03:26:19.2359546Z [ RUN      ] NVFuserTest.FusionGatherStrided4_CUDA
2022-11-23T03:26:19.2359753Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2359939Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2360213Z [  SKIPPED ] NVFuserTest.FusionGatherStrided4_CUDA (0 ms)
2022-11-23T03:26:19.2360475Z [ RUN      ] NVFuserTest.FusionGatherStrided5_CUDA
2022-11-23T03:26:19.2360685Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2360878Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2361159Z [  SKIPPED ] NVFuserTest.FusionGatherStrided5_CUDA (0 ms)
2022-11-23T03:26:19.2361391Z [ RUN      ] NVFuserTest.FusionGatherStrided6_CUDA
2022-11-23T03:26:19.2361598Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2361790Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2362072Z [  SKIPPED ] NVFuserTest.FusionGatherStrided6_CUDA (0 ms)
2022-11-23T03:26:19.2362330Z [ RUN      ] NVFuserTest.FusionGatherStrided7_CUDA
2022-11-23T03:26:19.2362541Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2362728Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2362981Z [  SKIPPED ] NVFuserTest.FusionGatherStrided7_CUDA (0 ms)
2022-11-23T03:26:19.2363234Z [ RUN      ] NVFuserTest.FusionGatherStrided8_CUDA
2022-11-23T03:26:19.2363442Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2363755Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2364036Z [  SKIPPED ] NVFuserTest.FusionGatherStrided8_CUDA (0 ms)
2022-11-23T03:26:19.2364311Z [ RUN      ] NVFuserTest.FusionGatherStridedChain_CUDA
2022-11-23T03:26:19.2364521Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2364719Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2364999Z [  SKIPPED ] NVFuserTest.FusionGatherStridedChain_CUDA (0 ms)
2022-11-23T03:26:19.2365269Z [ RUN      ] NVFuserTest.FusionMaxPoolingStrided_CUDA
2022-11-23T03:26:19.2365483Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2365675Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2365978Z [  SKIPPED ] NVFuserTest.FusionMaxPoolingStrided_CUDA (0 ms)
2022-11-23T03:26:19.2366253Z [ RUN      ] NVFuserTest.FusionConv2DStaticStrided_CUDA
2022-11-23T03:26:19.2366464Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2366638Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2366942Z [  SKIPPED ] NVFuserTest.FusionConv2DStaticStrided_CUDA (0 ms)
2022-11-23T03:26:19.2367215Z [ RUN      ] NVFuserTest.FusionNonDivisibleHalo1_CUDA
2022-11-23T03:26:19.2367504Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2367710Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2368006Z [  SKIPPED ] NVFuserTest.FusionNonDivisibleHalo1_CUDA (0 ms)
2022-11-23T03:26:19.2368278Z [ RUN      ] NVFuserTest.FusionNonDivisibleHalo2_CUDA
2022-11-23T03:26:19.2368490Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2368655Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2368953Z [  SKIPPED ] NVFuserTest.FusionNonDivisibleHalo2_CUDA (0 ms)
2022-11-23T03:26:19.2369294Z [ RUN      ] NVFuserTest.FusionGather9ptStencilDoubleBuffering_CUDA
2022-11-23T03:26:19.2369515Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2369708Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2370059Z [  SKIPPED ] NVFuserTest.FusionGather9ptStencilDoubleBuffering_CUDA (0 ms)
2022-11-23T03:26:19.2370361Z [ RUN      ] NVFuserTest.FusionValidateParallelizeShift_CUDA
2022-11-23T03:26:19.2370580Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2370749Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2371073Z [  SKIPPED ] NVFuserTest.FusionValidateParallelizeShift_CUDA (0 ms)
2022-11-23T03:26:19.2371371Z [ RUN      ] NVFuserTest.FusionGatherIterTypePromotion_CUDA
2022-11-23T03:26:19.2371580Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2371770Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2372090Z [  SKIPPED ] NVFuserTest.FusionGatherIterTypePromotion_CUDA (0 ms)
2022-11-23T03:26:19.2372375Z [ RUN      ] NVFuserTest.FusionContigPredicateShift_CUDA
2022-11-23T03:26:19.2372590Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2372759Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2373066Z [  SKIPPED ] NVFuserTest.FusionContigPredicateShift_CUDA (0 ms)
2022-11-23T03:26:19.2373315Z [ RUN      ] NVFuserTest.FusionVoltaMMATT_CUDA
2022-11-23T03:26:19.2373524Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2373710Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2373976Z [  SKIPPED ] NVFuserTest.FusionVoltaMMATT_CUDA (0 ms)
2022-11-23T03:26:19.2374221Z [ RUN      ] NVFuserTest.FusionVoltaMMATN_CUDA
2022-11-23T03:26:19.2374409Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2374677Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2374940Z [  SKIPPED ] NVFuserTest.FusionVoltaMMATN_CUDA (0 ms)
2022-11-23T03:26:19.2375178Z [ RUN      ] NVFuserTest.FusionVoltaMMANT_CUDA
2022-11-23T03:26:19.2375390Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2375585Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2375854Z [  SKIPPED ] NVFuserTest.FusionVoltaMMANT_CUDA (0 ms)
2022-11-23T03:26:19.2376401Z [ RUN      ] NVFuserTest.FusionVoltaMatmul_CUDA
2022-11-23T03:26:19.2376597Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2376794Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2377059Z [  SKIPPED ] NVFuserTest.FusionVoltaMatmul_CUDA (0 ms)
2022-11-23T03:26:19.2377375Z [ RUN      ] NVFuserTest.FusionVoltaMatmulRegDoubleBuffer_CUDA
2022-11-23T03:26:19.2377589Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2377781Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2378111Z [  SKIPPED ] NVFuserTest.FusionVoltaMatmulRegDoubleBuffer_CUDA (0 ms)
2022-11-23T03:26:19.2378335Z [ RUN      ] NVFuserTest.FusionAmpereMMATN_CUDA
2022-11-23T03:26:19.2378721Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2378925Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2379199Z [  SKIPPED ] NVFuserTest.FusionAmpereMMATN_CUDA (0 ms)
2022-11-23T03:26:19.2379444Z [ RUN      ] NVFuserTest.FusionAmpereMMATT_CUDA
2022-11-23T03:26:19.2379654Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2379844Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2380112Z [  SKIPPED ] NVFuserTest.FusionAmpereMMATT_CUDA (0 ms)
2022-11-23T03:26:19.2380336Z [ RUN      ] NVFuserTest.FusionAmpereMMANT_CUDA
2022-11-23T03:26:19.2380552Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2380745Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2381013Z [  SKIPPED ] NVFuserTest.FusionAmpereMMANT_CUDA (0 ms)
2022-11-23T03:26:19.2381272Z [ RUN      ] NVFuserTest.FusionAmpereMatmul_CUDA
2022-11-23T03:26:19.2381482Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2381667Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2381914Z [  SKIPPED ] NVFuserTest.FusionAmpereMatmul_CUDA (0 ms)
2022-11-23T03:26:19.2382225Z [ RUN      ] NVFuserTest.FusionAmpereMatmulPipelineGmem_CUDA
2022-11-23T03:26:19.2382434Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2382621Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2382939Z [  SKIPPED ] NVFuserTest.FusionAmpereMatmulPipelineGmem_CUDA (0 ms)
2022-11-23T03:26:19.2383256Z [ RUN      ] NVFuserTest.FusionAmpereMatmulRegDbouleBuffer_CUDA
2022-11-23T03:26:19.2383466Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2383657Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2383968Z [  SKIPPED ] NVFuserTest.FusionAmpereMatmulRegDbouleBuffer_CUDA (0 ms)
2022-11-23T03:26:19.2384253Z [ RUN      ] NVFuserTest.FusionMatmulMatmulAmpere_CUDA
2022-11-23T03:26:19.2384462Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2384651Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2384950Z [  SKIPPED ] NVFuserTest.FusionMatmulMatmulAmpere_CUDA (0 ms)
2022-11-23T03:26:19.2385257Z [ RUN      ] NVFuserTest.FusionMatmulSoftmaxMatmulAmpere_CUDA
2022-11-23T03:26:19.2385471Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2385768Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2386075Z [  SKIPPED ] NVFuserTest.FusionMatmulSoftmaxMatmulAmpere_CUDA (0 ms)
2022-11-23T03:26:19.2386323Z [ RUN      ] NVFuserTest.FusionTuringMMATN_CUDA
2022-11-23T03:26:19.2386530Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2386716Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2386990Z [  SKIPPED ] NVFuserTest.FusionTuringMMATN_CUDA (0 ms)
2022-11-23T03:26:19.2387235Z [ RUN      ] NVFuserTest.FusionTuringMMATT_CUDA
2022-11-23T03:26:19.2387444Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2387633Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2387877Z [  SKIPPED ] NVFuserTest.FusionTuringMMATT_CUDA (0 ms)
2022-11-23T03:26:19.2388120Z [ RUN      ] NVFuserTest.FusionTuringMMANT_CUDA
2022-11-23T03:26:19.2388334Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2388531Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2388799Z [  SKIPPED ] NVFuserTest.FusionTuringMMANT_CUDA (0 ms)
2022-11-23T03:26:19.2389053Z [ RUN      ] NVFuserTest.FusionTuringMatmul_CUDA
2022-11-23T03:26:19.2389265Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2389490Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2389768Z [  SKIPPED ] NVFuserTest.FusionTuringMatmul_CUDA (0 ms)
2022-11-23T03:26:19.2390059Z [ RUN      ] NVFuserTest.FusionAmpereMatmulTNcpAsync_CUDA
2022-11-23T03:26:19.2390267Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2390453Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2390763Z [  SKIPPED ] NVFuserTest.FusionAmpereMatmulTNcpAsync_CUDA (0 ms)
2022-11-23T03:26:19.2391080Z [ RUN      ] NVFuserTest.FusionAmpereStridedBatchedMatmulTN_CUDA
2022-11-23T03:26:19.2391298Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2391465Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2391806Z [  SKIPPED ] NVFuserTest.FusionAmpereStridedBatchedMatmulTN_CUDA (0 ms)
2022-11-23T03:26:19.2392083Z [ RUN      ] NVFuserTest.FusionAmpereViewMatmulTN_CUDA
2022-11-23T03:26:19.2392296Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2392492Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2392792Z [  SKIPPED ] NVFuserTest.FusionAmpereViewMatmulTN_CUDA (0 ms)
2022-11-23T03:26:19.2393087Z [ RUN      ] NVFuserTest.FusionVoltaMatMulTNCrossWarp_CUDA
2022-11-23T03:26:19.2393296Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2393463Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2393777Z [  SKIPPED ] NVFuserTest.FusionVoltaMatMulTNCrossWarp_CUDA (0 ms)
2022-11-23T03:26:19.2394071Z [ RUN      ] NVFuserTest.FusionVoltaMatMulTNCrossCTA_CUDA
2022-11-23T03:26:19.2394278Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2394471Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2394777Z [  SKIPPED ] NVFuserTest.FusionVoltaMatMulTNCrossCTA_CUDA (0 ms)
2022-11-23T03:26:19.2395075Z [ RUN      ] NVFuserTest.FusionAmpereMatmulTNSwizzled_CUDA
2022-11-23T03:26:19.2395261Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2395451Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2395772Z [  SKIPPED ] NVFuserTest.FusionAmpereMatmulTNSwizzled_CUDA (0 ms)
2022-11-23T03:26:19.2396060Z [ RUN      ] NVFuserTest.FusionAmpereMatmulLargeLoad_CUDA
2022-11-23T03:26:19.2396269Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2396553Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2396867Z [  SKIPPED ] NVFuserTest.FusionAmpereMatmulLargeLoad_CUDA (0 ms)
2022-11-23T03:26:19.2397151Z [ RUN      ] NVFuserTest.FusionTuringMatmulLargeLoad_CUDA
2022-11-23T03:26:19.2397337Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2397529Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2397837Z [  SKIPPED ] NVFuserTest.FusionTuringMatmulLargeLoad_CUDA (0 ms)
2022-11-23T03:26:19.2398134Z [ RUN      ] NVFuserTest.FusionViewDtypeSameSizeOutput_CUDA
2022-11-23T03:26:19.2398342Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2398530Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2398849Z [  SKIPPED ] NVFuserTest.FusionViewDtypeSameSizeOutput_CUDA (0 ms)
2022-11-23T03:26:19.2399153Z [ RUN      ] NVFuserTest.FusionViewDtypeFailMismatchSize_CUDA
2022-11-23T03:26:19.2399345Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2399536Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2399863Z [  SKIPPED ] NVFuserTest.FusionViewDtypeFailMismatchSize_CUDA (0 ms)
2022-11-23T03:26:19.2400135Z [ RUN      ] NVFuserTest.FusionViewAsRealOutput_CUDA
2022-11-23T03:26:19.2400406Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2400601Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2400902Z [  SKIPPED ] NVFuserTest.FusionViewAsRealOutput_CUDA (0 ms)
2022-11-23T03:26:19.2401198Z [ RUN      ] NVFuserTest.FusionViewRfactorExtentReplacement_CUDA
2022-11-23T03:26:19.2401406Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2401594Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2401934Z [  SKIPPED ] NVFuserTest.FusionViewRfactorExtentReplacement_CUDA (0 ms)
2022-11-23T03:26:19.2402190Z [ RUN      ] NVFuserTest.FusionViewOutput_CUDA
2022-11-23T03:26:19.2402408Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2402596Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2402863Z [  SKIPPED ] NVFuserTest.FusionViewOutput_CUDA (0 ms)
2022-11-23T03:26:19.2403126Z [ RUN      ] NVFuserTest.FusionViewFailMismatchSize_CUDA
2022-11-23T03:26:19.2403337Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2403527Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2403838Z [  SKIPPED ] NVFuserTest.FusionViewFailMismatchSize_CUDA (0 ms)
2022-11-23T03:26:19.2404139Z [ RUN      ] NVFuserTest.FusionViewFailMulitDimInference_CUDA
2022-11-23T03:26:19.2404350Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2404541Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2404874Z [  SKIPPED ] NVFuserTest.FusionViewFailMulitDimInference_CUDA (0 ms)
2022-11-23T03:26:19.2405125Z [ RUN      ] NVFuserTest.FusionViewReductionShmoo_CUDA
2022-11-23T03:26:19.2405339Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2405533Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2405832Z [  SKIPPED ] NVFuserTest.FusionViewReductionShmoo_CUDA (0 ms)
2022-11-23T03:26:19.2406117Z [ RUN      ] NVFuserTest.FusionViewPersistentShmoo_CUDA
2022-11-23T03:26:19.2406327Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2406518Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2406792Z [  SKIPPED ] NVFuserTest.FusionViewPersistentShmoo_CUDA (0 ms)
2022-11-23T03:26:19.2407036Z [ RUN      ] NVFuserTest.FusionViewSplit_CUDA
2022-11-23T03:26:19.2407244Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2407560Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2407825Z [  SKIPPED ] NVFuserTest.FusionViewSplit_CUDA (0 ms)
2022-11-23T03:26:19.2408078Z [ RUN      ] NVFuserTest.FusionViewBroadcast_CUDA
2022-11-23T03:26:19.2408287Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2408476Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2408729Z [  SKIPPED ] NVFuserTest.FusionViewBroadcast_CUDA (0 ms)
2022-11-23T03:26:19.2408967Z [ RUN      ] NVFuserTest.FusionViewMerge_CUDA
2022-11-23T03:26:19.2409177Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2409368Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2409629Z [  SKIPPED ] NVFuserTest.FusionViewMerge_CUDA (0 ms)
2022-11-23T03:26:19.2409880Z [ RUN      ] NVFuserTest.FusionViewAllShmoo_CUDA
2022-11-23T03:26:19.2410098Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2410285Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2410541Z [  SKIPPED ] NVFuserTest.FusionViewAllShmoo_CUDA (0 ms)
2022-11-23T03:26:19.2410783Z [ RUN      ] NVFuserTest.FusionViewStride_CUDA
2022-11-23T03:26:19.2411060Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2411260Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2411535Z [  SKIPPED ] NVFuserTest.FusionViewStride_CUDA (0 ms)
2022-11-23T03:26:19.2411782Z [ RUN      ] NVFuserTest.FusionViewBinary_CUDA
2022-11-23T03:26:19.2411996Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2412162Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2412425Z [  SKIPPED ] NVFuserTest.FusionViewBinary_CUDA (0 ms)
2022-11-23T03:26:19.2412699Z [ RUN      ] NVFuserTest.FusionViewConcreteDomain_CUDA
2022-11-23T03:26:19.2412914Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2413106Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2413409Z [  SKIPPED ] NVFuserTest.FusionViewConcreteDomain_CUDA (0 ms)
2022-11-23T03:26:19.2413688Z [ RUN      ] NVFuserTest.FusionViewConcreteDomain2_CUDA
2022-11-23T03:26:19.2413904Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2414071Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2414372Z [  SKIPPED ] NVFuserTest.FusionViewConcreteDomain2_CUDA (0 ms)
2022-11-23T03:26:19.2414649Z [ RUN      ] NVFuserTest.FusionViewConcreteDomain3_CUDA
2022-11-23T03:26:19.2414856Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2415051Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2415360Z [  SKIPPED ] NVFuserTest.FusionViewConcreteDomain3_CUDA (0 ms)
2022-11-23T03:26:19.2415652Z [ RUN      ] NVFuserTest.FusionViewConcreteDomain4_CUDA
2022-11-23T03:26:19.2415837Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2416405Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2416727Z [  SKIPPED ] NVFuserTest.FusionViewConcreteDomain4_CUDA (0 ms)
2022-11-23T03:26:19.2417013Z [ RUN      ] NVFuserTest.FusionViewConcreteDomain5_CUDA
2022-11-23T03:26:19.2417227Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2417415Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2417717Z [  SKIPPED ] NVFuserTest.FusionViewConcreteDomain5_CUDA (0 ms)
2022-11-23T03:26:19.2418029Z [ RUN      ] NVFuserTest.FusionFlattenAfterUnsqueezeOutput_CUDA
2022-11-23T03:26:19.2418214Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2418597Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2418935Z [  SKIPPED ] NVFuserTest.FusionFlattenAfterUnsqueezeOutput_CUDA (0 ms)
2022-11-23T03:26:19.2419267Z [ RUN      ] NVFuserTest.FusionComputeAtRootDomainMapWithView_CUDA
2022-11-23T03:26:19.2419484Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2419676Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2420030Z [  SKIPPED ] NVFuserTest.FusionComputeAtRootDomainMapWithView_CUDA (0 ms)
2022-11-23T03:26:19.2420278Z [ RUN      ] NVFuserTest.FusionExpandRepro_CUDA
2022-11-23T03:26:19.2420463Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2420655Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2420925Z [  SKIPPED ] NVFuserTest.FusionExpandRepro_CUDA (0 ms)
2022-11-23T03:26:19.2421173Z [ RUN      ] NVFuserTest.FusionExpandView1_CUDA
2022-11-23T03:26:19.2421390Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2421586Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2421853Z [  SKIPPED ] NVFuserTest.FusionExpandView1_CUDA (0 ms)
2022-11-23T03:26:19.2422074Z [ RUN      ] NVFuserTest.FusionExpandView2_CUDA
2022-11-23T03:26:19.2422354Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2422567Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2422834Z [  SKIPPED ] NVFuserTest.FusionExpandView2_CUDA (0 ms)
2022-11-23T03:26:19.2423107Z [ RUN      ] NVFuserTest.FusionViewTransformCache_CUDA
2022-11-23T03:26:19.2423317Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2423505Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2423804Z [  SKIPPED ] NVFuserTest.FusionViewTransformCache_CUDA (0 ms)
2022-11-23T03:26:19.2424028Z [ RUN      ] NVFuserTest.FusionViewIdGraph_CUDA
2022-11-23T03:26:19.2424241Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2424432Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2424702Z [  SKIPPED ] NVFuserTest.FusionViewIdGraph_CUDA (0 ms)
2022-11-23T03:26:19.2424956Z [ RUN      ] NVFuserTest.FusionViewVectorize_CUDA
2022-11-23T03:26:19.2425169Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2425358Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2425639Z [  SKIPPED ] NVFuserTest.FusionViewVectorize_CUDA (0 ms)
2022-11-23T03:26:19.2425872Z [ RUN      ] NVFuserTest.FusionExpandFlatten_CUDA
2022-11-23T03:26:19.2426081Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2426271Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2426546Z [  SKIPPED ] NVFuserTest.FusionExpandFlatten_CUDA (0 ms)
2022-11-23T03:26:19.2426847Z [ RUN      ] NVFuserTest.FusionIllegalReductionFlatten_CUDA
2022-11-23T03:26:19.2427061Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2427251Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2427542Z [  SKIPPED ] NVFuserTest.FusionIllegalReductionFlatten_CUDA (0 ms)
2022-11-23T03:26:19.2427824Z [ RUN      ] NVFuserTest.FusionReductionFlatten1_CUDA
2022-11-23T03:26:19.2428031Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2428220Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2428513Z [  SKIPPED ] NVFuserTest.FusionReductionFlatten1_CUDA (0 ms)
2022-11-23T03:26:19.2428785Z [ RUN      ] NVFuserTest.FusionPwiseViewSchedule_CUDA
2022-11-23T03:26:19.2428995Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2429184Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2429529Z [  SKIPPED ] NVFuserTest.FusionPwiseViewSchedule_CUDA (0 ms)
2022-11-23T03:26:19.2429790Z [ RUN      ] NVFuserTest.FusionSumViewSchedule_CUDA
2022-11-23T03:26:19.2430000Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2430197Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2430488Z [  SKIPPED ] NVFuserTest.FusionSumViewSchedule_CUDA (0 ms)
2022-11-23T03:26:19.2430762Z [ RUN      ] NVFuserTest.FusionViewMagicSchedule1_CUDA
2022-11-23T03:26:19.2430975Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2431167Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2431440Z [  SKIPPED ] NVFuserTest.FusionViewMagicSchedule1_CUDA (0 ms)
2022-11-23T03:26:19.2431714Z [ RUN      ] NVFuserTest.FusionViewMagicSchedule2_CUDA
2022-11-23T03:26:19.2431927Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2432123Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2432421Z [  SKIPPED ] NVFuserTest.FusionViewMagicSchedule2_CUDA (0 ms)
2022-11-23T03:26:19.2432694Z [ RUN      ] NVFuserTest.FusionViewMagicSchedule3_CUDA
2022-11-23T03:26:19.2432904Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2433131Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2433437Z [  SKIPPED ] NVFuserTest.FusionViewMagicSchedule3_CUDA (0 ms)
2022-11-23T03:26:19.2433713Z [ RUN      ] NVFuserTest.FusionViewMagicSchedule4_CUDA
2022-11-23T03:26:19.2433922Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2434112Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2434404Z [  SKIPPED ] NVFuserTest.FusionViewMagicSchedule4_CUDA (0 ms)
2022-11-23T03:26:19.2434677Z [ RUN      ] NVFuserTest.FusionViewMagicSchedule5_CUDA
2022-11-23T03:26:19.2434896Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2435060Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2435497Z [  SKIPPED ] NVFuserTest.FusionViewMagicSchedule5_CUDA (0 ms)
2022-11-23T03:26:19.2435807Z [ RUN      ] NVFuserTest.FusionViewMapping_CUDA
2022-11-23T03:26:19.2436020Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2436210Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2436480Z [  SKIPPED ] NVFuserTest.FusionViewMapping_CUDA (0 ms)
2022-11-23T03:26:19.2436770Z [ RUN      ] NVFuserTest.FusionLowerDivisibleSplits_CUDA
2022-11-23T03:26:19.2436975Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2437142Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2437466Z [  SKIPPED ] NVFuserTest.FusionLowerDivisibleSplits_CUDA (0 ms)
2022-11-23T03:26:19.2437699Z [ RUN      ] NVFuserTest.FusionTranspose1_CUDA
2022-11-23T03:26:19.2437908Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2438098Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2438363Z [  SKIPPED ] NVFuserTest.FusionTranspose1_CUDA (0 ms)
2022-11-23T03:26:19.2438612Z [ RUN      ] NVFuserTest.FusionTranspose2_CUDA
2022-11-23T03:26:19.2438799Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2438992Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2439259Z [  SKIPPED ] NVFuserTest.FusionTranspose2_CUDA (0 ms)
2022-11-23T03:26:19.2439547Z [ RUN      ] NVFuserTest.FusionTransposeWithSwizzle_CUDA
2022-11-23T03:26:19.2439757Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2439945Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2440332Z [  SKIPPED ] NVFuserTest.FusionTransposeWithSwizzle_CUDA (0 ms)
2022-11-23T03:26:19.2440676Z [ RUN      ] NVFuserTest.FusionTransposeWithSwizzle1DThreadBlock_CUDA
2022-11-23T03:26:19.2440863Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2441053Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2441423Z [  SKIPPED ] NVFuserTest.FusionTransposeWithSwizzle1DThreadBlock_CUDA (0 ms)
2022-11-23T03:26:19.2441726Z [ RUN      ] NVFuserTest.FusionScheduleTransposeSimple_CUDA
2022-11-23T03:26:19.2441945Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2442135Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2442454Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeSimple_CUDA (0 ms)
2022-11-23T03:26:19.2442793Z [ RUN      ] NVFuserTest.FusionScheduleTransposeSinTransposeCos_CUDA
2022-11-23T03:26:19.2442979Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2443181Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2443541Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeSinTransposeCos_CUDA (0 ms)
2022-11-23T03:26:19.2443873Z [ RUN      ] NVFuserTest.FusionScheduleTransposeMultipleInput_CUDA
2022-11-23T03:26:19.2444148Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2444347Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2444698Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeMultipleInput_CUDA (0 ms)
2022-11-23T03:26:19.2445009Z [ RUN      ] NVFuserTest.FusionScheduleTransposeMultipleOutput_CUDA
2022-11-23T03:26:19.2445225Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2445416Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2445774Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeMultipleOutput_CUDA (0 ms)
2022-11-23T03:26:19.2446137Z [ RUN      ] NVFuserTest.FusionScheduleTransposeMultipleInputOutput_CUDA
2022-11-23T03:26:19.2446346Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2446540Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2446918Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeMultipleInputOutput_CUDA (0 ms)
2022-11-23T03:26:19.2447268Z [ RUN      ] NVFuserTest.FusionScheduleTransposeMatchingSkipConnection_CUDA
2022-11-23T03:26:19.2447481Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2447669Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2448069Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeMatchingSkipConnection_CUDA (0 ms)
2022-11-23T03:26:19.2448379Z [ RUN      ] NVFuserTest.FusionScheduleTransposeBroadcast_CUDA
2022-11-23T03:26:19.2448585Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2448793Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2449113Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeBroadcast_CUDA (0 ms)
2022-11-23T03:26:19.2449408Z [ RUN      ] NVFuserTest.FusionScheduleTransposeNoReference_CUDA
2022-11-23T03:26:19.2449630Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2449823Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2450165Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeNoReference_CUDA (0 ms)
2022-11-23T03:26:19.2450453Z [ RUN      ] NVFuserTest.FusionScheduleBroadcastOnly_CUDA
2022-11-23T03:26:19.2450668Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2450856Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2451163Z [  SKIPPED ] NVFuserTest.FusionScheduleBroadcastOnly_CUDA (0 ms)
2022-11-23T03:26:19.2451456Z [ RUN      ] NVFuserTest.FusionScheduleTransposeComplexDAG1_CUDA
2022-11-23T03:26:19.2451755Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2451948Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2452289Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeComplexDAG1_CUDA (0 ms)
2022-11-23T03:26:19.2452646Z [ RUN      ] NVFuserTest.FusionManualScheduleTransposeComplexDAG1_CUDA
2022-11-23T03:26:19.2452863Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2453059Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2453422Z [  SKIPPED ] NVFuserTest.FusionManualScheduleTransposeComplexDAG1_CUDA (0 ms)
2022-11-23T03:26:19.2453663Z [ RUN      ] NVFuserTest.FusionViewNoTranspose_CUDA
2022-11-23T03:26:19.2453871Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2454064Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2454362Z [  SKIPPED ] NVFuserTest.FusionViewNoTranspose_CUDA (0 ms)
2022-11-23T03:26:19.2454654Z [ RUN      ] NVFuserTest.FusionTransposeSelfMapping_CUDA
2022-11-23T03:26:19.2454869Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2455058Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2455392Z [  SKIPPED ] NVFuserTest.FusionTransposeSelfMapping_CUDA (0 ms)
2022-11-23T03:26:19.2455723Z [ RUN      ] NVFuserTest.FusionScheduleTransposeMissingDim_CUDA
2022-11-23T03:26:19.2455930Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2456361Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2456706Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeMissingDim_CUDA (0 ms)
2022-11-23T03:26:19.2457003Z [ RUN      ] NVFuserTest.FusionScheduleTransposeSmall_CUDA
2022-11-23T03:26:19.2457222Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2457418Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2457707Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeSmall_CUDA (0 ms)
2022-11-23T03:26:19.2458043Z [ RUN      ] NVFuserTest.FusionScheduleTransposeSmallInnerSize1_CUDA
2022-11-23T03:26:19.2458255Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2458446Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2458801Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeSmallInnerSize1_CUDA (0 ms)
2022-11-23T03:26:19.2459140Z [ RUN      ] NVFuserTest.FusionScheduleTransposeSmallInnerSize2_CUDA
2022-11-23T03:26:19.2459354Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2459544Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2459872Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeSmallInnerSize2_CUDA (0 ms)
2022-11-23T03:26:19.2460217Z [ RUN      ] NVFuserTest.FusionScheduleTransposeSmallInnerSize3_CUDA
2022-11-23T03:26:19.2460431Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2460622Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2460970Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeSmallInnerSize3_CUDA (0 ms)
2022-11-23T03:26:19.2461319Z [ RUN      ] NVFuserTest.FusionScheduleTranspose2DSmallInnerSize_CUDA
2022-11-23T03:26:19.2461532Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2461716Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2462057Z [  SKIPPED ] NVFuserTest.FusionScheduleTranspose2DSmallInnerSize_CUDA (0 ms)
2022-11-23T03:26:19.2462345Z [ RUN      ] NVFuserTest.FusionTransposeBankConflict1_CUDA
2022-11-23T03:26:19.2462557Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2462913Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2463229Z [  SKIPPED ] NVFuserTest.FusionTransposeBankConflict1_CUDA (0 ms)
2022-11-23T03:26:19.2463518Z [ RUN      ] NVFuserTest.FusionTransposeBankConflict2_CUDA
2022-11-23T03:26:19.2463728Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2463926Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2464217Z [  SKIPPED ] NVFuserTest.FusionTransposeBankConflict2_CUDA (0 ms)
2022-11-23T03:26:19.2464509Z [ RUN      ] NVFuserTest.FusionTransposeBankConflict3_CUDA
2022-11-23T03:26:19.2464715Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2464905Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2465216Z [  SKIPPED ] NVFuserTest.FusionTransposeBankConflict3_CUDA (0 ms)
2022-11-23T03:26:19.2465508Z [ RUN      ] NVFuserTest.FusionTransposeBankConflict4_CUDA
2022-11-23T03:26:19.2465723Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2465891Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2466204Z [  SKIPPED ] NVFuserTest.FusionTransposeBankConflict4_CUDA (0 ms)
2022-11-23T03:26:19.2466487Z [ RUN      ] NVFuserTest.FusionTransposeBankConflict5_CUDA
2022-11-23T03:26:19.2466775Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2466977Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2467293Z [  SKIPPED ] NVFuserTest.FusionTransposeBankConflict5_CUDA (0 ms)
2022-11-23T03:26:19.2467584Z [ RUN      ] NVFuserTest.FusionTransposeBankConflict6_CUDA
2022-11-23T03:26:19.2467792Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2467956Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2468267Z [  SKIPPED ] NVFuserTest.FusionTransposeBankConflict6_CUDA (0 ms)
2022-11-23T03:26:19.2468570Z [ RUN      ] NVFuserTest.FusionTransposeBankConflict7_CUDA
2022-11-23T03:26:19.2468787Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2468976Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2469286Z [  SKIPPED ] NVFuserTest.FusionTransposeBankConflict7_CUDA (0 ms)
2022-11-23T03:26:19.2469584Z [ RUN      ] NVFuserTest.FusionTransposeBankConflict8_CUDA
2022-11-23T03:26:19.2469793Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2469960Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2470280Z [  SKIPPED ] NVFuserTest.FusionTransposeBankConflict8_CUDA (0 ms)
2022-11-23T03:26:19.2470566Z [ RUN      ] NVFuserTest.FusionRNGValidateWithCURand_CUDA
2022-11-23T03:26:19.2470780Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2470968Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2471292Z [  SKIPPED ] NVFuserTest.FusionRNGValidateWithCURand_CUDA (0 ms)
2022-11-23T03:26:19.2471649Z [ RUN      ] NVFuserTest.FusionRNGManualScheduleValidateWithCURand_CUDA
2022-11-23T03:26:19.2471860Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2472028Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2472400Z [  SKIPPED ] NVFuserTest.FusionRNGManualScheduleValidateWithCURand_CUDA (0 ms)
2022-11-23T03:26:19.2472759Z [ RUN      ] NVFuserTest.FusionRNGManualScheduleValidateWithCURand2_CUDA
2022-11-23T03:26:19.2472971Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2473159Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2473538Z [  SKIPPED ] NVFuserTest.FusionRNGManualScheduleValidateWithCURand2_CUDA (0 ms)
2022-11-23T03:26:19.2473806Z [ RUN      ] NVFuserTest.FusionBroadcastingRNG_CUDA
2022-11-23T03:26:19.2474065Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2474257Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2474545Z [  SKIPPED ] NVFuserTest.FusionBroadcastingRNG_CUDA (0 ms)
2022-11-23T03:26:19.2474817Z [ RUN      ] NVFuserTest.FusionBroadcastingRNG2_CUDA
2022-11-23T03:26:19.2475033Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2475225Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2475514Z [  SKIPPED ] NVFuserTest.FusionBroadcastingRNG2_CUDA (0 ms)
2022-11-23T03:26:19.2475790Z [ RUN      ] NVFuserTest.FusionBroadcastingRNGSmem_CUDA
2022-11-23T03:26:19.2475974Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2476163Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2476463Z [  SKIPPED ] NVFuserTest.FusionBroadcastingRNGSmem_CUDA (0 ms)
2022-11-23T03:26:19.2476799Z [ RUN      ] NVFuserTest.FusionBroadcastingRNGSmemNonSquareTile_CUDA
2022-11-23T03:26:19.2477010Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2477199Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2477554Z [  SKIPPED ] NVFuserTest.FusionBroadcastingRNGSmemNonSquareTile_CUDA (0 ms)
2022-11-23T03:26:19.2477841Z [ RUN      ] NVFuserTest.FusionUniform_CUDA
2022-11-23T03:26:19.2478034Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2478227Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2478487Z [  SKIPPED ] NVFuserTest.FusionUniform_CUDA (0 ms)
2022-11-23T03:26:19.2478760Z [ RUN      ] NVFuserTest.FusionRandLikeReduction_CUDA
2022-11-23T03:26:19.2478965Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2479158Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2479462Z [  SKIPPED ] NVFuserTest.FusionRandLikeReduction_CUDA (0 ms)
2022-11-23T03:26:19.2479681Z [ RUN      ] NVFuserTest.FusionSplitDims_CUDA
2022-11-23T03:26:19.2479893Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2480081Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2480349Z [  SKIPPED ] NVFuserTest.FusionSplitDims_CUDA (0 ms)
2022-11-23T03:26:19.2480592Z [ RUN      ] NVFuserTest.FusionMergeDims_CUDA
2022-11-23T03:26:19.2480804Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2480994Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2481261Z [  SKIPPED ] NVFuserTest.FusionMergeDims_CUDA (0 ms)
2022-11-23T03:26:19.2481504Z [ RUN      ] NVFuserTest.FusionReorderAsRFactor_CUDA
2022-11-23T03:26:19.2481720Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2481922Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2482218Z [  SKIPPED ] NVFuserTest.FusionReorderAsRFactor_CUDA (0 ms)
2022-11-23T03:26:19.2482486Z [ RUN      ] NVFuserTest.FusionDisjointViewSet_CUDA
2022-11-23T03:26:19.2482698Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2482896Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2483184Z [  SKIPPED ] NVFuserTest.FusionDisjointViewSet_CUDA (0 ms)
2022-11-23T03:26:19.2483420Z [ RUN      ] NVFuserTest.FusionMatchingViews_CUDA
2022-11-23T03:26:19.2483630Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2483820Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2484093Z [  SKIPPED ] NVFuserTest.FusionMatchingViews_CUDA (0 ms)
2022-11-23T03:26:19.2484382Z [ RUN      ] NVFuserTest.FusionBroadcastViewMultiples_CUDA
2022-11-23T03:26:19.2484721Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2485039Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2485331Z [  SKIPPED ] NVFuserTest.FusionBroadcastViewMultiples_CUDA (0 ms)
2022-11-23T03:26:19.2485583Z [ RUN      ] NVFuserTest.FusionTVDomainGuard_CUDA
2022-11-23T03:26:19.2485793Z /var/lib/jenkins/workspace/torch/csrc/jit/codegen/cuda/test/test_utils.h:366: Skipped
2022-11-23T03:26:19.2485979Z skipping tests on pre-PASCAL GPUs
2022-11-23T03:26:19.2486251Z [  SKIPPED ] NVFuserTest.FusionTVDomainGuard_CUDA (0 ms)
2022-11-23T03:26:19.2486508Z [----------] 759 tests from NVFuserTest (31 ms total)
2022-11-23T03:26:19.2486543Z 
2022-11-23T03:26:19.2486799Z [----------] 2 tests from NVFuserMultithreadedTest
2022-11-23T03:26:19.2487083Z [ RUN      ] NVFuserMultithreadedTest.SingleFunction_CUDA
2022-11-23T03:26:19.4703916Z [       OK ] NVFuserMultithreadedTest.SingleFunction_CUDA (308 ms)
2022-11-23T03:26:19.4704503Z [ RUN      ] NVFuserMultithreadedTest.MultipleFunctions_CUDA
2022-11-23T03:26:19.4905635Z [       OK ] NVFuserMultithreadedTest.MultipleFunctions_CUDA (20 ms)
2022-11-23T03:26:19.4906075Z [----------] 2 tests from NVFuserMultithreadedTest (328 ms total)
2022-11-23T03:26:19.4906103Z 
2022-11-23T03:26:19.4906814Z [----------] 12 tests from AliasAnalysisTest/BatchAndInstanceNormFixture
2022-11-23T03:26:19.4907244Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/0
2022-11-23T03:26:19.4907607Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/0 (0 ms)
2022-11-23T03:26:19.4908011Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/1
2022-11-23T03:26:19.4908400Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/1 (0 ms)
2022-11-23T03:26:19.4908759Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/2
2022-11-23T03:26:19.4909143Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/2 (0 ms)
2022-11-23T03:26:19.4909490Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/3
2022-11-23T03:26:19.4909973Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/3 (0 ms)
2022-11-23T03:26:19.4910539Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/0
2022-11-23T03:26:19.4910961Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/0 (0 ms)
2022-11-23T03:26:19.4911395Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/1
2022-11-23T03:26:19.4912420Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/1 (0 ms)
2022-11-23T03:26:19.4913199Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/2
2022-11-23T03:26:19.4913881Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/2 (0 ms)
2022-11-23T03:26:19.4914530Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/3
2022-11-23T03:26:19.4915245Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/3 (0 ms)
2022-11-23T03:26:19.4915763Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/0
2022-11-23T03:26:19.4916495Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/0 (0 ms)
2022-11-23T03:26:19.4917014Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/1
2022-11-23T03:26:19.4917630Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/1 (0 ms)
2022-11-23T03:26:19.4918503Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/2
2022-11-23T03:26:19.4919287Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/2 (0 ms)
2022-11-23T03:26:19.4919771Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/3
2022-11-23T03:26:19.4920179Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/3 (0 ms)
2022-11-23T03:26:19.4920522Z [----------] 12 tests from AliasAnalysisTest/BatchAndInstanceNormFixture (1 ms total)
2022-11-23T03:26:19.4920545Z 
2022-11-23T03:26:19.4920879Z [----------] 10 tests from PyTorch/LiteInterpreterDynamicTypeTestFixture
2022-11-23T03:26:19.4921227Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/0
2022-11-23T03:26:20.6646847Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/0 (1172 ms)
2022-11-23T03:26:20.6647592Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/1
2022-11-23T03:26:22.2712554Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/1 (1606 ms)
2022-11-23T03:26:22.2713211Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/2
2022-11-23T03:26:24.2119483Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/2 (1940 ms)
2022-11-23T03:26:24.2120220Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/3
2022-11-23T03:26:26.0714552Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/3 (1859 ms)
2022-11-23T03:26:26.0715246Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/4
2022-11-23T03:26:27.9242773Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/4 (1852 ms)
2022-11-23T03:26:27.9244157Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/5
2022-11-23T03:26:29.8071968Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/5 (1882 ms)
2022-11-23T03:26:29.8073436Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/6
2022-11-23T03:26:31.6584969Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/6 (1851 ms)
2022-11-23T03:26:31.6586314Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/7
2022-11-23T03:26:33.5025246Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/7 (1843 ms)
2022-11-23T03:26:33.5026557Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/8
2022-11-23T03:26:35.2020329Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/8 (1699 ms)
2022-11-23T03:26:35.2021663Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/9
2022-11-23T03:26:36.9065582Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/9 (1704 ms)
2022-11-23T03:26:36.9066978Z [----------] 10 tests from PyTorch/LiteInterpreterDynamicTypeTestFixture (17414 ms total)
2022-11-23T03:26:36.9067583Z 
2022-11-23T03:26:36.9068052Z [----------] Global test environment tear-down
2022-11-23T03:26:36.9329162Z [==========] 1339 tests from 121 test suites ran. (23638 ms total)
2022-11-23T03:26:36.9330016Z [  PASSED  ] 580 tests.
2022-11-23T03:26:36.9330726Z [  SKIPPED ] 759 tests, listed below:
2022-11-23T03:26:36.9331579Z [  SKIPPED ] NVFuserTest.FusionDefinition_CUDA
2022-11-23T03:26:36.9332410Z [  SKIPPED ] NVFuserTest.PyFusionCache_CUDA
2022-11-23T03:26:36.9333378Z [  SKIPPED ] NVFuserTest.RecordFunctorEquality_CUDA
2022-11-23T03:26:36.9334324Z [  SKIPPED ] NVFuserTest.FusionIrGraphGenerator_CUDA
2022-11-23T03:26:36.9335220Z [  SKIPPED ] NVFuserTest.FusionDispatch_CUDA
2022-11-23T03:26:36.9336932Z [  SKIPPED ] NVFuserTest.FusionExprEvalConstants_CUDA
2022-11-23T03:26:36.9337877Z [  SKIPPED ] NVFuserTest.FusionExprEvalDouble_CUDA
2022-11-23T03:26:36.9338805Z [  SKIPPED ] NVFuserTest.FusionExprEvalBindings_CUDA
2022-11-23T03:26:36.9339704Z [  SKIPPED ] NVFuserTest.FusionExprEvalBasic_CUDA
2022-11-23T03:26:36.9340645Z [  SKIPPED ] NVFuserTest.FusionExprEvalComplex_CUDA
2022-11-23T03:26:36.9341577Z [  SKIPPED ] NVFuserTest.FusionExprEvalPostLower_CUDA
2022-11-23T03:26:36.9342598Z [  SKIPPED ] NVFuserTest.FusionKernelExprEvalConstants_CUDA
2022-11-23T03:26:36.9343753Z [  SKIPPED ] NVFuserTest.FusionKernelExprEvalBindings_CUDA
2022-11-23T03:26:36.9344595Z [  SKIPPED ] NVFuserTest.FusionClear_CUDA
2022-11-23T03:26:36.9345416Z [  SKIPPED ] NVFuserTest.FusionCopy_CUDA
2022-11-23T03:26:36.9346174Z [  SKIPPED ] NVFuserTest.FusionMove_CUDA
2022-11-23T03:26:36.9347043Z [  SKIPPED ] NVFuserTest.FusionSimpleArith_CUDA
2022-11-23T03:26:36.9348067Z [  SKIPPED ] NVFuserTest.FusionScalarTypePromote_CUDA
2022-11-23T03:26:36.9348991Z [  SKIPPED ] NVFuserTest.FusionComplexAbsTypes_CUDA
2022-11-23T03:26:36.9349847Z [  SKIPPED ] NVFuserTest.FusionRegister_CUDA
2022-11-23T03:26:36.9351015Z [  SKIPPED ] NVFuserTest.FusionTopoSort_CUDA
2022-11-23T03:26:36.9351883Z [  SKIPPED ] NVFuserTest.FusionTensor_CUDA
2022-11-23T03:26:36.9352673Z [  SKIPPED ] NVFuserTest.FusionFilterVals_CUDA
2022-11-23T03:26:36.9353518Z [  SKIPPED ] NVFuserTest.FusionTVSplit_CUDA
2022-11-23T03:26:36.9354324Z [  SKIPPED ] NVFuserTest.FusionTVMerge_CUDA
2022-11-23T03:26:36.9355097Z [  SKIPPED ] NVFuserTest.FusionTVReorder_CUDA
2022-11-23T03:26:36.9355974Z [  SKIPPED ] NVFuserTest.FusionEquality_CUDA
2022-11-23T03:26:36.9356811Z [  SKIPPED ] NVFuserTest.FusionDependency_CUDA
2022-11-23T03:26:36.9357615Z [  SKIPPED ] NVFuserTest.FusionParser_CUDA
2022-11-23T03:26:36.9358449Z [  SKIPPED ] NVFuserTest.FusionOuterSplit_CUDA
2022-11-23T03:26:36.9359273Z [  SKIPPED ] NVFuserTest.FusionCodeGen_CUDA
2022-11-23T03:26:36.9360053Z [  SKIPPED ] NVFuserTest.FusionCodeGen2_CUDA
2022-11-23T03:26:36.9360868Z [  SKIPPED ] NVFuserTest.FusionSimplePWise_CUDA
2022-11-23T03:26:36.9361851Z [  SKIPPED ] NVFuserTest.FusionSimplePWiseDtypeComplex_CUDA
2022-11-23T03:26:36.9362631Z [  SKIPPED ] NVFuserTest.FusionExecKernel_CUDA
2022-11-23T03:26:36.9363467Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAt1_CUDA
2022-11-23T03:26:36.9364300Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAt2_CUDA
2022-11-23T03:26:36.9365160Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAt3_CUDA
2022-11-23T03:26:36.9365997Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAt4_CUDA
2022-11-23T03:26:36.9366881Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAt5_CUDA
2022-11-23T03:26:36.9367812Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAt6_CUDA
2022-11-23T03:26:36.9368647Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAt7_CUDA
2022-11-23T03:26:36.9369525Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAt8_CUDA
2022-11-23T03:26:36.9370387Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeWith1_CUDA
2022-11-23T03:26:36.9371256Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeWith2_CUDA
2022-11-23T03:26:36.9372084Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeWith3_CUDA
2022-11-23T03:26:36.9372966Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeWith4_CUDA
2022-11-23T03:26:36.9373872Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeWith5_CUDA
2022-11-23T03:26:36.9374940Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeWith6_CUDA
2022-11-23T03:26:36.9375935Z [  SKIPPED ] NVFuserTest.FusionComputeAtMultiConsumers_CUDA
2022-11-23T03:26:36.9377786Z [  SKIPPED ] NVFuserTest.FusionComputeAtCommonConsumer1_CUDA
2022-11-23T03:26:36.9378980Z [  SKIPPED ] NVFuserTest.FusionComputeAtCommonConsumer2_CUDA
2022-11-23T03:26:36.9380000Z [  SKIPPED ] NVFuserTest.FusionComputeAtCommonConsumer3_CUDA
2022-11-23T03:26:36.9380675Z [  SKIPPED ] NVFuserTest.FusionComputeAtNoCommonConsumer_CUDA
2022-11-23T03:26:36.9381331Z [  SKIPPED ] NVFuserTest.FusionRootMappingBasic_CUDA
2022-11-23T03:26:36.9381765Z [  SKIPPED ] NVFuserTest.FusionRootMappingRfactor_CUDA
2022-11-23T03:26:36.9382868Z [  SKIPPED ] NVFuserTest.FusionRootMappingReductionDependency1_CUDA
2022-11-23T03:26:36.9384020Z [  SKIPPED ] NVFuserTest.FusionRootMappingReductionDependency2_CUDA
2022-11-23T03:26:36.9385188Z [  SKIPPED ] NVFuserTest.FusionRootMappingReductionDependency3_CUDA
2022-11-23T03:26:36.9386213Z [  SKIPPED ] NVFuserTest.FusionRootMappingReductionDependency4_CUDA
2022-11-23T03:26:36.9387169Z [  SKIPPED ] NVFuserTest.FusionRootMappingReductionDependency5_CUDA_CUDA
2022-11-23T03:26:36.9387868Z [  SKIPPED ] NVFuserTest.FusionRootMappingReductionDependency6_CUDA_CUDA
2022-11-23T03:26:36.9388519Z [  SKIPPED ] NVFuserTest.FusionRootMappingMultipleBroadcastWithNoCommonConsumer_CUDA
2022-11-23T03:26:36.9389510Z [  SKIPPED ] NVFuserTest.FusionRootMappingBroadcastNonUniqueSize_CUDA
2022-11-23T03:26:36.9390069Z [  SKIPPED ] NVFuserTest.FusionRootMappingBroadcast_CUDA
2022-11-23T03:26:36.9390619Z [  SKIPPED ] NVFuserTest.FusionRootMappingTrivialReduction_CUDA
2022-11-23T03:26:36.9391149Z [  SKIPPED ] NVFuserTest.FusionRootMappingRepro1950_CUDA
2022-11-23T03:26:36.9391684Z [  SKIPPED ] NVFuserTest.FusionDetectSelfMappedDomains_CUDA
2022-11-23T03:26:36.9392188Z [  SKIPPED ] NVFuserTest.FusionScalarInputs_CUDA
2022-11-23T03:26:36.9392703Z [  SKIPPED ] NVFuserTest.FusionLoopUnroll_CUDA
2022-11-23T03:26:36.9393080Z [  SKIPPED ] NVFuserTest.FusionUnaryOps_CUDA
2022-11-23T03:26:36.9393688Z [  SKIPPED ] NVFuserTest.FusionBinaryOps_CUDA
2022-11-23T03:26:36.9394121Z [  SKIPPED ] NVFuserTest.FusionTernaryOps_CUDA
2022-11-23T03:26:36.9394772Z [  SKIPPED ] NVFuserTest.FusionCompoundOps_CUDA
2022-11-23T03:26:36.9395563Z [  SKIPPED ] NVFuserTest.FusionCastOps_CUDA
2022-11-23T03:26:36.9396507Z [  SKIPPED ] NVFuserTest.FusionReduction1_CUDA
2022-11-23T03:26:36.9397397Z [  SKIPPED ] NVFuserTest.FusionReduction2_CUDA
2022-11-23T03:26:36.9397840Z [  SKIPPED ] NVFuserTest.FusionReduction3_CUDA
2022-11-23T03:26:36.9398244Z [  SKIPPED ] NVFuserTest.FusionReduction4_CUDA
2022-11-23T03:26:36.9398663Z [  SKIPPED ] NVFuserTest.FusionReduction5_CUDA
2022-11-23T03:26:36.9399134Z [  SKIPPED ] NVFuserTest.FusionReduction6_CUDA
2022-11-23T03:26:36.9399588Z [  SKIPPED ] NVFuserTest.FusionMultiGridReduction_CUDA
2022-11-23T03:26:36.9400089Z [  SKIPPED ] NVFuserTest.FusionMultiGridReduction2_CUDA
2022-11-23T03:26:36.9400575Z [  SKIPPED ] NVFuserTest.FusionReductionTFT_CUDA
2022-11-23T03:26:36.9401060Z [  SKIPPED ] NVFuserTest.FusionReductionOuterSplit_CUDA
2022-11-23T03:26:36.9401507Z [  SKIPPED ] NVFuserTest.FusionBranches_CUDA
2022-11-23T03:26:36.9401967Z [  SKIPPED ] NVFuserTest.FusionSimpleBCast1_CUDA
2022-11-23T03:26:36.9402425Z [  SKIPPED ] NVFuserTest.FusionSimpleBCast2_CUDA
2022-11-23T03:26:36.9403587Z [  SKIPPED ] NVFuserTest.FusionSimpleBCast3_CUDA
2022-11-23T03:26:36.9404032Z [  SKIPPED ] NVFuserTest.FusionSimpleBCast4_CUDA
2022-11-23T03:26:36.9404490Z [  SKIPPED ] NVFuserTest.FusionSimpleBCast5_CUDA
2022-11-23T03:26:36.9404950Z [  SKIPPED ] NVFuserTest.FusionComplexBCast1_CUDA
2022-11-23T03:26:36.9405399Z [  SKIPPED ] NVFuserTest.FusionComplexBCast2_CUDA
2022-11-23T03:26:36.9405880Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing1_CUDA
2022-11-23T03:26:36.9406674Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing2_CUDA
2022-11-23T03:26:36.9407163Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing3_CUDA
2022-11-23T03:26:36.9407631Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing4_CUDA
2022-11-23T03:26:36.9408104Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing5_CUDA
2022-11-23T03:26:36.9408709Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing6_CUDA
2022-11-23T03:26:36.9409632Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing7_CUDA
2022-11-23T03:26:36.9410546Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing8_CUDA
2022-11-23T03:26:36.9411272Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing9_CUDA
2022-11-23T03:26:36.9411784Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing10_CUDA
2022-11-23T03:26:36.9412252Z [  SKIPPED ] NVFuserTest.FusionAdvancedIndexing11_CUDA
2022-11-23T03:26:36.9412745Z [  SKIPPED ] NVFuserTest.FusionAdvancedLowering1_CUDA
2022-11-23T03:26:36.9413244Z [  SKIPPED ] NVFuserTest.FusionAdvancedLowering2_CUDA
2022-11-23T03:26:36.9413712Z [  SKIPPED ] NVFuserTest.FusionAdvancedLowering3_CUDA
2022-11-23T03:26:36.9414199Z [  SKIPPED ] NVFuserTest.FusionAdvancedLowering4_CUDA
2022-11-23T03:26:36.9414822Z [  SKIPPED ] NVFuserTest.FusionAdvancedLowering5_CUDA
2022-11-23T03:26:36.9415854Z [  SKIPPED ] NVFuserTest.FusionAdvancedLowering6_CUDA
2022-11-23T03:26:36.9417036Z [  SKIPPED ] NVFuserTest.FusionSimpleGemm_CUDA
2022-11-23T03:26:36.9417704Z [  SKIPPED ] NVFuserTest.FusionSoftmax1D_CUDA
2022-11-23T03:26:36.9418167Z [  SKIPPED ] NVFuserTest.FusionSoftmax1DNormalized_CUDA
2022-11-23T03:26:36.9418636Z [  SKIPPED ] NVFuserTest.FusionSoftmax3D_CUDA
2022-11-23T03:26:36.9419160Z [  SKIPPED ] NVFuserTest.FusionSoftmax3DNormalized_CUDA
2022-11-23T03:26:36.9419608Z [  SKIPPED ] NVFuserTest.FusionSoftmaxComputeAt_CUDA
2022-11-23T03:26:36.9420114Z [  SKIPPED ] NVFuserTest.FusionGridReduction1_CUDA
2022-11-23T03:26:36.9420549Z [  SKIPPED ] NVFuserTest.FusionGridReduction2_CUDA
2022-11-23T03:26:36.9421039Z [  SKIPPED ] NVFuserTest.FusionGridReduction3dim1_CUDA
2022-11-23T03:26:36.9421503Z [  SKIPPED ] NVFuserTest.FusionGridReduction3dim0_CUDA
2022-11-23T03:26:36.9421979Z [  SKIPPED ] NVFuserTest.FusionGridReduction4_CUDA
2022-11-23T03:26:36.9422498Z [  SKIPPED ] NVFuserTest.FusionGridReduction5_CUDA
2022-11-23T03:26:36.9422946Z [  SKIPPED ] NVFuserTest.FusionGridReduction6_CUDA
2022-11-23T03:26:36.9423411Z [  SKIPPED ] NVFuserTest.FusionGridReduction7_CUDA
2022-11-23T03:26:36.9423875Z [  SKIPPED ] NVFuserTest.FusionGridReduction8_CUDA
2022-11-23T03:26:36.9424335Z [  SKIPPED ] NVFuserTest.FusionGridReduction9_CUDA
2022-11-23T03:26:36.9424784Z [  SKIPPED ] NVFuserTest.FusionGridReduction10_CUDA
2022-11-23T03:26:36.9425263Z [  SKIPPED ] NVFuserTest.FusionNonRedAxisBind_CUDA
2022-11-23T03:26:36.9425713Z [  SKIPPED ] NVFuserTest.FusionSplitBCast_CUDA
2022-11-23T03:26:36.9426154Z [  SKIPPED ] NVFuserTest.FusionBCastInnerDim_CUDA
2022-11-23T03:26:36.9426613Z [  SKIPPED ] NVFuserTest.FusionBCastReduce_CUDA
2022-11-23T03:26:36.9427116Z [  SKIPPED ] NVFuserTest.FusionReductionMultiConsumer_CUDA
2022-11-23T03:26:36.9427626Z [  SKIPPED ] NVFuserTest.FusionComputeAtExprOrder1_CUDA
2022-11-23T03:26:36.9428141Z [  SKIPPED ] NVFuserTest.FusionComputeAtExprOrder2_CUDA
2022-11-23T03:26:36.9428644Z [  SKIPPED ] NVFuserTest.FusionComputeAtExprOrder3_CUDA
2022-11-23T03:26:36.9429148Z [  SKIPPED ] NVFuserTest.FusionZeroDimComputeAt_CUDA
2022-11-23T03:26:36.9429613Z [  SKIPPED ] NVFuserTest.FusionZeroDimBroadcast_CUDA
2022-11-23T03:26:36.9430090Z [  SKIPPED ] NVFuserTest.FusionZeroDimReduction_CUDA
2022-11-23T03:26:36.9430819Z [  SKIPPED ] NVFuserTest.FusionBCastAfterReduce_CUDA
2022-11-23T03:26:36.9431283Z [  SKIPPED ] NVFuserTest.FusionOutputBroadcast_CUDA
2022-11-23T03:26:36.9431789Z [  SKIPPED ] NVFuserTest.FusionReductionKeepDimBasic_CUDA
2022-11-23T03:26:36.9432333Z [  SKIPPED ] NVFuserTest.FusionReductionKeepDimScheduler_CUDA
2022-11-23T03:26:36.9432796Z [  SKIPPED ] NVFuserTest.FusionSumTo_CUDA
2022-11-23T03:26:36.9433277Z [  SKIPPED ] NVFuserTest.FusionSumToNoop_CUDA
2022-11-23T03:26:36.9433755Z [  SKIPPED ] NVFuserTest.FusionReductionScheduler_CUDA
2022-11-23T03:26:36.9434307Z [  SKIPPED ] NVFuserTest.FusionReductionWithTrivialReduction_CUDA
2022-11-23T03:26:36.9434826Z [  SKIPPED ] NVFuserTest.FusionSymbolicReduction_CUDA
2022-11-23T03:26:36.9435402Z [  SKIPPED ] NVFuserTest.FusionReductionSchedulerMultiDimNonFastest_CUDA
2022-11-23T03:26:36.9436040Z [  SKIPPED ] NVFuserTest.FusionReductionSchedulerMultiDimFastest_CUDA
2022-11-23T03:26:36.9436627Z [  SKIPPED ] NVFuserTest.FusionReductionSchedulerNoODimShmoo_CUDA
2022-11-23T03:26:36.9437208Z [  SKIPPED ] NVFuserTest.FusionReductionSchedulerDimShmoo_CUDA
2022-11-23T03:26:36.9437713Z [  SKIPPED ] NVFuserTest.FusionCacheBefore_CUDA
2022-11-23T03:26:36.9438168Z [  SKIPPED ] NVFuserTest.FusionCacheAfter_CUDA
2022-11-23T03:26:36.9438763Z [  SKIPPED ] NVFuserTest.FusionCacheFork_CUDA
2022-11-23T03:26:36.9439245Z [  SKIPPED ] NVFuserTest.FusionCacheIndirect_CUDA
2022-11-23T03:26:36.9439701Z [  SKIPPED ] NVFuserTest.FusionCacheBcast_CUDA
2022-11-23T03:26:36.9440166Z [  SKIPPED ] NVFuserTest.FusionCacheMultiConsumer_CUDA
2022-11-23T03:26:36.9440608Z [  SKIPPED ] NVFuserTest.FusionSmem_CUDA
2022-11-23T03:26:36.9441038Z [  SKIPPED ] NVFuserTest.FusionSmemReduce_CUDA
2022-11-23T03:26:36.9441482Z [  SKIPPED ] NVFuserTest.FusionSmemBlockGemm_CUDA
2022-11-23T03:26:36.9441972Z [  SKIPPED ] NVFuserTest.FusionSmemBlockGemmCache_CUDA
2022-11-23T03:26:36.9442529Z [  SKIPPED ] NVFuserTest.FusionSmemDynamicPersistentSoftmax2D_CUDA
2022-11-23T03:26:36.9443074Z [  SKIPPED ] NVFuserTest.FusionMagicSchedulerSoftmax_CUDA
2022-11-23T03:26:36.9443577Z [  SKIPPED ] NVFuserTest.FusionTestMaskSoftmax_CUDA
2022-11-23T03:26:36.9444136Z [  SKIPPED ] NVFuserTest.FusionMagicSchedulerLayerNormBackward_CUDA
2022-11-23T03:26:36.9444733Z [  SKIPPED ] NVFuserTest.FusionMagicSchedulerRMSNormBackward_CUDA
2022-11-23T03:26:36.9445327Z [  SKIPPED ] NVFuserTest.FusionMagicSchedulerLayerNormalization_CUDA
2022-11-23T03:26:36.9445939Z [  SKIPPED ] NVFuserTest.FusionMagicSchedulerRMSNormalization_CUDA
2022-11-23T03:26:36.9446606Z [  SKIPPED ] NVFuserTest.FusionMagicSchedulerBatchNormalization_CUDA
2022-11-23T03:26:36.9447220Z [  SKIPPED ] NVFuserTest.FusionMagicSchedulerInstanceNormalization_CUDA
2022-11-23T03:26:36.9447911Z [  SKIPPED ] NVFuserTest.FusionMagicSchedulerInstanceNormalizationBackward_CUDA
2022-11-23T03:26:36.9448558Z [  SKIPPED ] NVFuserTest.FusionPersistentSoftmaxLocalShared_CUDA
2022-11-23T03:26:36.9449134Z [  SKIPPED ] NVFuserTest.FusionPersistentNormLocalShared_CUDA
2022-11-23T03:26:36.9449685Z [  SKIPPED ] NVFuserTest.FusionSmemDynamicPersistentNorm_CUDA
2022-11-23T03:26:36.9450262Z [  SKIPPED ] NVFuserTest.FusionSmemDynamicReductionSymbolic_CUDA
2022-11-23T03:26:36.9450868Z [  SKIPPED ] NVFuserTest.FusionSmemDynamicReductionSymbolicArg_CUDA
2022-11-23T03:26:36.9451466Z [  SKIPPED ] NVFuserTest.FusionSmemDynamicPwiseMulSymbolicArgWAR_CUDA
2022-11-23T03:26:36.9452031Z [  SKIPPED ] NVFuserTest.FusionSmemDynamicTiledGemm_CUDA
2022-11-23T03:26:36.9452550Z [  SKIPPED ] NVFuserTest.FusionGlobalIntermediate_CUDA
2022-11-23T03:26:36.9453122Z [  SKIPPED ] NVFuserTest.FusionGlobalIntermediateDefaultSchedule_CUDA
2022-11-23T03:26:36.9453768Z [  SKIPPED ] NVFuserTest.FusionConstCheck_CUDA
2022-11-23T03:26:36.9454242Z [  SKIPPED ] NVFuserTest.FusionUnrollWithAlloc_CUDA
2022-11-23T03:26:36.9454700Z [  SKIPPED ] NVFuserTest.FusionIsZeroInt_CUDA
2022-11-23T03:26:36.9455121Z [  SKIPPED ] NVFuserTest.FusionIsOneInt_CUDA
2022-11-23T03:26:36.9455648Z [  SKIPPED ] NVFuserTest.FusionComputeAtNonterminatingOutput_CUDA
2022-11-23T03:26:36.9456709Z [  SKIPPED ] NVFuserTest.FusionTraversalOrder1_CUDA
2022-11-23T03:26:36.9457262Z [  SKIPPED ] NVFuserTest.FusionTraversalOrder2_CUDA
2022-11-23T03:26:36.9457744Z [  SKIPPED ] NVFuserTest.FusionTraversalOrder3_CUDA
2022-11-23T03:26:36.9458223Z [  SKIPPED ] NVFuserTest.FusionTraversalOrder4_CUDA
2022-11-23T03:26:36.9458695Z [  SKIPPED ] NVFuserTest.FusionTraversalOrder5_CUDA
2022-11-23T03:26:36.9459148Z [  SKIPPED ] NVFuserTest.FusionTraversalOrder6_CUDA
2022-11-23T03:26:36.9459634Z [  SKIPPED ] NVFuserTest.FusionTraversalOrder7_CUDA
2022-11-23T03:26:36.9460108Z [  SKIPPED ] NVFuserTest.FusionThreadPredicate_CUDA
2022-11-23T03:26:36.9460536Z [  SKIPPED ] NVFuserTest.FusionLSTMCell_CUDA
2022-11-23T03:26:36.9460988Z [  SKIPPED ] NVFuserTest.FusionReductionHalf_CUDA
2022-11-23T03:26:36.9461451Z [  SKIPPED ] NVFuserTest.FusionReduceSingle_CUDA
2022-11-23T03:26:36.9462172Z [  SKIPPED ] NVFuserTest.FusionReduceImplicitBroadcast_CUDA
2022-11-23T03:26:36.9462739Z [  SKIPPED ] NVFuserTest.FusionReduceImplicitBroadcast2_CUDA
2022-11-23T03:26:36.9463292Z [  SKIPPED ] NVFuserTest.FusionReduceImplicitBroadcast3_CUDA
2022-11-23T03:26:36.9463806Z [  SKIPPED ] NVFuserTest.FusionTrivialReduction_CUDA
2022-11-23T03:26:36.9464280Z [  SKIPPED ] NVFuserTest.FusionTrivialReduction2_CUDA
2022-11-23T03:26:36.9464771Z [  SKIPPED ] NVFuserTest.FusionTrivialReduction3_CUDA
2022-11-23T03:26:36.9465298Z [  SKIPPED ] NVFuserTest.FusionDetectTrivialReduction1_CUDA
2022-11-23T03:26:36.9465815Z [  SKIPPED ] NVFuserTest.FusionDetectTrivialReduction2_CUDA
2022-11-23T03:26:36.9466318Z [  SKIPPED ] NVFuserTest.FusionInputsIdLookup_CUDA
2022-11-23T03:26:36.9466832Z [  SKIPPED ] NVFuserTest.FusionGroupGuardSimpleTensor_CUDA
2022-11-23T03:26:36.9467365Z [  SKIPPED ] NVFuserTest.FusionGroupGuardBroadcastTensor_CUDA
2022-11-23T03:26:36.9467921Z [  SKIPPED ] NVFuserTest.FusionGroupGuardPermutedTensor_CUDA
2022-11-23T03:26:36.9468460Z [  SKIPPED ] NVFuserTest.FusionGroupGuardRelaxedCheck_CUDA
2022-11-23T03:26:36.9468949Z [  SKIPPED ] NVFuserTest.FusionDisjointSet_CUDA
2022-11-23T03:26:36.9469430Z [  SKIPPED ] NVFuserTest.FusionNonUniqueBroadcastSize_CUDA
2022-11-23T03:26:36.9469915Z [  SKIPPED ] NVFuserTest.FusionBiasGeluFwd_CUDA
2022-11-23T03:26:36.9470358Z [  SKIPPED ] NVFuserTest.FusionBiasGeluBwd_CUDA
2022-11-23T03:26:36.9470788Z [  SKIPPED ] NVFuserTest.FusionIssue459_CUDA
2022-11-23T03:26:36.9471263Z [  SKIPPED ] NVFuserTest.FusionSmemIndexingSimple_CUDA
2022-11-23T03:26:36.9471743Z [  SKIPPED ] NVFuserTest.FusionSmemIndexing_CUDA
2022-11-23T03:26:36.9472231Z [  SKIPPED ] NVFuserTest.FusionCacheBeforeReduction_CUDA
2022-11-23T03:26:36.9472741Z [  SKIPPED ] NVFuserTest.FusionCacheBeforeReduction2_CUDA
2022-11-23T03:26:36.9473218Z [  SKIPPED ] NVFuserTest.FusionIssue367_CUDA
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2022-11-23T03:26:36.9474487Z [  SKIPPED ] NVFuserTest.FusionIssue484_CUDA
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2022-11-23T03:26:36.9476344Z [  SKIPPED ] NVFuserTest.FusionIssue532_CUDA
2022-11-23T03:26:36.9476774Z [  SKIPPED ] NVFuserTest.FusionLoopUnswitch_CUDA
2022-11-23T03:26:36.9477218Z [  SKIPPED ] NVFuserTest.FusionIssue549_CUDA
2022-11-23T03:26:36.9477675Z [  SKIPPED ] NVFuserTest.FusionSimpleCompileRtc_CUDA
2022-11-23T03:26:36.9478166Z [  SKIPPED ] NVFuserTest.FusionSerialWelford_CUDA
2022-11-23T03:26:36.9478615Z [  SKIPPED ] NVFuserTest.FusionBlockWelford_CUDA
2022-11-23T03:26:36.9479099Z [  SKIPPED ] NVFuserTest.FusionBlockWelfordNoInit_CUDA
2022-11-23T03:26:36.9479607Z [  SKIPPED ] NVFuserTest.FusionGridWelfordNoInit_CUDA
2022-11-23T03:26:36.9480061Z [  SKIPPED ] NVFuserTest.FusionWelfordOp_CUDA
2022-11-23T03:26:36.9480525Z [  SKIPPED ] NVFuserTest.FusionBlockWelfordOp_CUDA
2022-11-23T03:26:36.9481001Z [  SKIPPED ] NVFuserTest.FusionGridWelfordOp_CUDA
2022-11-23T03:26:36.9481469Z [  SKIPPED ] NVFuserTest.FusionRfactorWelfordOp_CUDA
2022-11-23T03:26:36.9481962Z [  SKIPPED ] NVFuserTest.FusionWelfordSchedule_CUDA
2022-11-23T03:26:36.9482433Z [  SKIPPED ] NVFuserTest.FusionWelfordShmoo_CUDA
2022-11-23T03:26:36.9482875Z [  SKIPPED ] NVFuserTest.FusionVarMean_CUDA
2022-11-23T03:26:36.9483341Z [  SKIPPED ] NVFuserTest.FusionSimpleGemmTransposed_CUDA
2022-11-23T03:26:36.9483981Z [  SKIPPED ] NVFuserTest.FusionSoftmax3DTransposed_CUDA
2022-11-23T03:26:36.9484559Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAtTransposed1_CUDA
2022-11-23T03:26:36.9485122Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAtTransposed2_CUDA
2022-11-23T03:26:36.9485704Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAtTransposed3_CUDA
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2022-11-23T03:26:36.9486870Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAtTransposed5_CUDA
2022-11-23T03:26:36.9487429Z [  SKIPPED ] NVFuserTest.FusionAdvancedComputeAtTransposed6_CUDA
2022-11-23T03:26:36.9487985Z [  SKIPPED ] NVFuserTest.FusionSegmentReducePointwise_CUDA
2022-11-23T03:26:36.9488501Z [  SKIPPED ] NVFuserTest.FusionMultipleVectorize_CUDA
2022-11-23T03:26:36.9488974Z [  SKIPPED ] NVFuserTest.FusionVectorizeSimple_CUDA
2022-11-23T03:26:36.9489481Z [  SKIPPED ] NVFuserTest.FusionSimpleVectorizeUnroll_CUDA
2022-11-23T03:26:36.9490004Z [  SKIPPED ] NVFuserTest.FusionSegmentReduceSoftmax_CUDA
2022-11-23T03:26:36.9490467Z [  SKIPPED ] NVFuserTest.FusionSwizzle1_CUDA
2022-11-23T03:26:36.9490910Z [  SKIPPED ] NVFuserTest.FusionSwizzle2_CUDA
2022-11-23T03:26:36.9491371Z [  SKIPPED ] NVFuserTest.FusionGridPersistence_CUDA
2022-11-23T03:26:36.9491862Z [  SKIPPED ] NVFuserTest.FusionGridPersistence2_CUDA
2022-11-23T03:26:36.9492350Z [  SKIPPED ] NVFuserTest.FusionWelfordPersistence_CUDA
2022-11-23T03:26:36.9492871Z [  SKIPPED ] NVFuserTest.FusionWelfordPersistence2_CUDA
2022-11-23T03:26:36.9493349Z [  SKIPPED ] NVFuserTest.FusionIssue633_CUDA
2022-11-23T03:26:36.9493843Z [  SKIPPED ] NVFuserTest.FusionBroadcastAcrossComputeAt_CUDA
2022-11-23T03:26:36.9494417Z [  SKIPPED ] NVFuserTest.FusionVectorizeMisalignedPointwise_CUDA
2022-11-23T03:26:36.9495054Z [  SKIPPED ] NVFuserTest.FusionVectorizeMisalignedPointwiseMergeContig_CUDA
2022-11-23T03:26:36.9495749Z [  SKIPPED ] NVFuserTest.FusionVectorizeMisalignedPointwiseMergeSymbolicPass_CUDA
2022-11-23T03:26:36.9497189Z [  SKIPPED ] NVFuserTest.FusionVectorizeMisalignedPointwiseMergeSymbolicFail_CUDA
2022-11-23T03:26:36.9497843Z [  SKIPPED ] NVFuserTest.FusionVectorizeMisalignedRFactor_CUDA
2022-11-23T03:26:36.9498432Z [  SKIPPED ] NVFuserTest.FusionVectorizeMisalignedWrongDimFail_CUDA
2022-11-23T03:26:36.9498992Z [  SKIPPED ] NVFuserTest.FusionVectorizeMisalignedStride_CUDA
2022-11-23T03:26:36.9499862Z [  SKIPPED ] NVFuserTest.FusionVectorizeMisalignedStrideFail_CUDA
2022-11-23T03:26:36.9500391Z [  SKIPPED ] NVFuserTest.FusionVectorization1_CUDA
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2022-11-23T03:26:36.9501312Z [  SKIPPED ] NVFuserTest.FusionVectorization3_CUDA
2022-11-23T03:26:36.9501811Z [  SKIPPED ] NVFuserTest.FusionVectorizationRFactor_CUDA
2022-11-23T03:26:36.9502299Z [  SKIPPED ] NVFuserTest.FusionSizeOneLoop1_CUDA
2022-11-23T03:26:36.9502741Z [  SKIPPED ] NVFuserTest.FusionSizeOneLoop2_CUDA
2022-11-23T03:26:36.9503356Z [  SKIPPED ] NVFuserTest.FusionValidateParallelize1_CUDA
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2022-11-23T03:26:36.9504847Z [  SKIPPED ] NVFuserTest.FusionValidateParallelize4_CUDA
2022-11-23T03:26:36.9505367Z [  SKIPPED ] NVFuserTest.FusionValidateParallelize5_CUDA
2022-11-23T03:26:36.9505858Z [  SKIPPED ] NVFuserTest.FusionValidateParallelize6_CUDA
2022-11-23T03:26:36.9506375Z [  SKIPPED ] NVFuserTest.FusionValidateParallelize7_CUDA
2022-11-23T03:26:36.9506852Z [  SKIPPED ] NVFuserTest.FusionDAGMerging_CUDA
2022-11-23T03:26:36.9507461Z [  SKIPPED ] NVFuserTest.FusionDAGScalarMerging_CUDA
2022-11-23T03:26:36.9507977Z [  SKIPPED ] NVFuserTest.FusionBlockReduceInSerialLoop_CUDA
2022-11-23T03:26:36.9508528Z [  SKIPPED ] NVFuserTest.FusionBlockWelfordInSerialLoop_CUDA
2022-11-23T03:26:36.9509103Z [  SKIPPED ] NVFuserTest.FusionIOTensorTrivialReductionRepro_CUDA
2022-11-23T03:26:36.9509634Z [  SKIPPED ] NVFuserTest.FusionReductionPredicate_CUDA
2022-11-23T03:26:36.9510098Z [  SKIPPED ] NVFuserTest.FusionIssue728_CUDA
2022-11-23T03:26:36.9510528Z [  SKIPPED ] NVFuserTest.FusionIssue757_CUDA
2022-11-23T03:26:36.9511008Z [  SKIPPED ] NVFuserTest.FusionPredicatedBlockBroadcast_CUDA
2022-11-23T03:26:36.9511538Z [  SKIPPED ] NVFuserTest.FusionSegmentVerticalMerge_CUDA
2022-11-23T03:26:36.9512058Z [  SKIPPED ] NVFuserTest.FusionSegmentHorizontalMerge_CUDA
2022-11-23T03:26:36.9512580Z [  SKIPPED ] NVFuserTest.FusionSegmentMixReduction_CUDA
2022-11-23T03:26:36.9513012Z [  SKIPPED ] NVFuserTest.FusionSBAR_CUDA
2022-11-23T03:26:36.9513454Z [  SKIPPED ] NVFuserTest.FusionSingleElement_CUDA
2022-11-23T03:26:36.9513928Z [  SKIPPED ] NVFuserTest.FusionBNBackwardRepro_CUDA
2022-11-23T03:26:36.9514393Z [  SKIPPED ] NVFuserTest.FusionBNBackwardRepro2_CUDA
2022-11-23T03:26:36.9514842Z [  SKIPPED ] NVFuserTest.FusionBNRepro_CUDA
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2022-11-23T03:26:36.9515719Z [  SKIPPED ] NVFuserTest.FusionZeroSizeTensorPW_CUDA
2022-11-23T03:26:36.9516249Z [  SKIPPED ] NVFuserTest.FusionZeroSizeTensorReduction_CUDA
2022-11-23T03:26:36.9516806Z [  SKIPPED ] NVFuserTest.FusionZeroSizeTensorNormalization_CUDA
2022-11-23T03:26:36.9517321Z [  SKIPPED ] NVFuserTest.FusionSegmentIoAlias_CUDA
2022-11-23T03:26:36.9517775Z [  SKIPPED ] NVFuserTest.FusionWelford1Output_CUDA
2022-11-23T03:26:36.9518264Z [  SKIPPED ] NVFuserTest.FusionTranslate1Welford_CUDA
2022-11-23T03:26:36.9518757Z [  SKIPPED ] NVFuserTest.FusionTranslate2Welford_CUDA
2022-11-23T03:26:36.9519263Z [  SKIPPED ] NVFuserTest.FusionLargeWelfordNormalization_CUDA
2022-11-23T03:26:36.9519821Z [  SKIPPED ] NVFuserTest.FusionWelfordOuterPersistence_CUDA
2022-11-23T03:26:36.9520321Z [  SKIPPED ] NVFuserTest.FusionSegmentIslands_CUDA
2022-11-23T03:26:36.9520818Z [  SKIPPED ] NVFuserTest.FusionBackOffInnerBroadcast_CUDA
2022-11-23T03:26:36.9521334Z [  SKIPPED ] NVFuserTest.FusionBackOffInnerBroadcast2_CUDA
2022-11-23T03:26:36.9521990Z [  SKIPPED ] NVFuserTest.FusionBackOffInnerBroadcast3_CUDA
2022-11-23T03:26:36.9522480Z [  SKIPPED ] NVFuserTest.FusionSimpleWarp_CUDA
2022-11-23T03:26:36.9522926Z [  SKIPPED ] NVFuserTest.FusionSimpleWarpPad_CUDA
2022-11-23T03:26:36.9523410Z [  SKIPPED ] NVFuserTest.FusionWarpPadMergeSplit_CUDA
2022-11-23T03:26:36.9523923Z [  SKIPPED ] NVFuserTest.FusionSerialWarpReduction_CUDA
2022-11-23T03:26:36.9524421Z [  SKIPPED ] NVFuserTest.FusionTrivialWarpReduction_CUDA
2022-11-23T03:26:36.9524928Z [  SKIPPED ] NVFuserTest.FusionMultipleDimBinding_CUDA
2022-11-23T03:26:36.9525422Z [  SKIPPED ] NVFuserTest.FusionPadNoWarpReduce_CUDA
2022-11-23T03:26:36.9525922Z [  SKIPPED ] NVFuserTest.FusionWarpMutipleThreadDim_CUDA
2022-11-23T03:26:36.9526504Z [  SKIPPED ] NVFuserTest.FusionWarpReduceUnrollOuterLoop_CUDA
2022-11-23T03:26:36.9527054Z [  SKIPPED ] NVFuserTest.FusionWarpReducePredication_CUDA
2022-11-23T03:26:36.9527567Z [  SKIPPED ] NVFuserTest.FusionSegfaultReduction_CUDA
2022-11-23T03:26:36.9528067Z [  SKIPPED ] NVFuserTest.FusionPredicateElimination1_CUDA
2022-11-23T03:26:36.9528591Z [  SKIPPED ] NVFuserTest.FusionPredicateElimination2_CUDA
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2022-11-23T03:26:36.9530260Z [  SKIPPED ] NVFuserTest.FusionPredicateElimination5_CUDA
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2022-11-23T03:26:36.9531799Z [  SKIPPED ] NVFuserTest.FusionForceFp16Simple_CUDA
2022-11-23T03:26:36.9532274Z [  SKIPPED ] NVFuserTest.FusionForceBf16Simple_CUDA
2022-11-23T03:26:36.9532786Z [  SKIPPED ] NVFuserTest.FusionForceFp16NotAllCast_CUDA
2022-11-23T03:26:36.9533349Z [  SKIPPED ] NVFuserTest.FusionForceBf16NotAllCast_CUDA
2022-11-23T03:26:36.9533917Z [  SKIPPED ] NVFuserTest.FusionBufferReuseBroadCastMultiVisit_CUDA
2022-11-23T03:26:36.9534476Z [  SKIPPED ] NVFuserTest.FusionBufferReuseStressTest_CUDA
2022-11-23T03:26:36.9534997Z [  SKIPPED ] NVFuserTest.FusionBufferReuseLargeBuffer_CUDA
2022-11-23T03:26:36.9535518Z [  SKIPPED ] NVFuserTest.FusionBufferReuseNo2hop_CUDA
2022-11-23T03:26:36.9536508Z [  SKIPPED ] NVFuserTest.FusionBufferReuseAllocationOrder_CUDA
2022-11-23T03:26:36.9537214Z [  SKIPPED ] NVFuserTest.FusionBufferReuseLiveInterval_CUDA
2022-11-23T03:26:36.9537760Z [  SKIPPED ] NVFuserTest.FusionBufferReuseNoAcrossBroadcast_CUDA
2022-11-23T03:26:36.9538266Z [  SKIPPED ] NVFuserTest.FusionIssue970_CUDA
2022-11-23T03:26:36.9538701Z [  SKIPPED ] NVFuserTest.FusionIssue1016_CUDA
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2022-11-23T03:26:36.9539602Z [  SKIPPED ] NVFuserTest.FusionNonUniqueThreadDim_CUDA
2022-11-23T03:26:36.9540127Z [  SKIPPED ] NVFuserTest.FusionParallelDimensionMap1_CUDA
2022-11-23T03:26:36.9540656Z [  SKIPPED ] NVFuserTest.FusionParallelDimensionMap2_CUDA
2022-11-23T03:26:36.9541166Z [  SKIPPED ] NVFuserTest.FusionParallelDimensionMap3_CUDA
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2022-11-23T03:26:36.9542217Z [  SKIPPED ] NVFuserTest.FusionParallelDimensionMap5_CUDA
2022-11-23T03:26:36.9542788Z [  SKIPPED ] NVFuserTest.FusionSegmenterCombineReductionsCycleRepro_CUDA
2022-11-23T03:26:36.9543393Z [  SKIPPED ] NVFuserTest.FusionSerialAndParallelIndexing_CUDA
2022-11-23T03:26:36.9543918Z [  SKIPPED ] NVFuserTest.FusionWARSyncAliasedSmem_CUDA
2022-11-23T03:26:36.9544677Z [  SKIPPED ] NVFuserTest.FusionIssue1099_CUDA
2022-11-23T03:26:36.9545143Z [  SKIPPED ] NVFuserTest.FusionUnswitchPredicate_CUDA
2022-11-23T03:26:36.9545603Z [  SKIPPED ] NVFuserTest.FusionIssue1189_CUDA
2022-11-23T03:26:36.9546033Z [  SKIPPED ] NVFuserTest.FusionIssue1052_CUDA
2022-11-23T03:26:36.9546485Z [  SKIPPED ] NVFuserTest.FusionPointwiseBroadcast_CUDA
2022-11-23T03:26:36.9546988Z [  SKIPPED ] NVFuserTest.FusionPointwiseVectorize_CUDA
2022-11-23T03:26:36.9547483Z [  SKIPPED ] NVFuserTest.FusionSmemAliasSerial_CUDA
2022-11-23T03:26:36.9548069Z [  SKIPPED ] NVFuserTest.FusionGridReductionWithNonExactParallelDimensions_CUDA
2022-11-23T03:26:36.9548777Z [  SKIPPED ] NVFuserTest.FusionGridWelfordWithNonExactParallelDimensions_CUDA
2022-11-23T03:26:36.9549484Z [  SKIPPED ] NVFuserTest.FusionGridReductionWithNonExactParallelDimensions2_CUDA
2022-11-23T03:26:36.9550195Z [  SKIPPED ] NVFuserTest.FusionGridWelfordWithNonExactParallelDimensions2_CUDA
2022-11-23T03:26:36.9550820Z [  SKIPPED ] NVFuserTest.FusionPredicateParallelizedDomains_CUDA
2022-11-23T03:26:36.9551378Z [  SKIPPED ] NVFuserTest.FusionSmemPredicateUnswitch_CUDA
2022-11-23T03:26:36.9551850Z [  SKIPPED ] NVFuserTest.FusionFloatPow_CUDA
2022-11-23T03:26:36.9552272Z [  SKIPPED ] NVFuserTest.FusionIssue1127_CUDA
2022-11-23T03:26:36.9552885Z [  SKIPPED ] NVFuserTest.FusionChannelsLastParser_CUDA
2022-11-23T03:26:36.9553427Z [  SKIPPED ] NVFuserTest.FusionThreadPredicateUnswitch_CUDA
2022-11-23T03:26:36.9553926Z [  SKIPPED ] NVFuserTest.FusionNonContigOutputs_CUDA
2022-11-23T03:26:36.9554408Z [  SKIPPED ] NVFuserTest.FusionTestWarpSoftMax_CUDA
2022-11-23T03:26:36.9554866Z [  SKIPPED ] NVFuserTest.FusionIssue1133_CUDA
2022-11-23T03:26:36.9555342Z [  SKIPPED ] NVFuserTest.FusionRfactorContigIDs_CUDA
2022-11-23T03:26:36.9555878Z [  SKIPPED ] NVFuserTest.FusionPersistentBufferCalculation1_CUDA
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2022-11-23T03:26:36.9558176Z [  SKIPPED ] NVFuserTest.FusionPersistentBufferProjection_CUDA
2022-11-23T03:26:36.9558688Z [  SKIPPED ] NVFuserTest.FusionIssue1223_CUDA
2022-11-23T03:26:36.9559147Z [  SKIPPED ] NVFuserTest.FusionRfactorPredication1_CUDA
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2022-11-23T03:26:36.9560159Z [  SKIPPED ] NVFuserTest.FusionRfactorIndirectRoot_CUDA
2022-11-23T03:26:36.9560669Z [  SKIPPED ] NVFuserTest.FusionNonDivisibleSplit1_CUDA
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2022-11-23T03:26:36.9563200Z [  SKIPPED ] NVFuserTest.FusionNonDivisibleSplitVectorize1_CUDA
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2022-11-23T03:26:36.9564327Z [  SKIPPED ] NVFuserTest.FusionIssue1284Repro_CUDA
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2022-11-23T03:26:36.9565264Z [  SKIPPED ] NVFuserTest.FusionIssue1305Repro_CUDA
2022-11-23T03:26:36.9565750Z [  SKIPPED ] NVFuserTest.FusionDoubleBuffering1_CUDA
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2022-11-23T03:26:36.9570221Z [  SKIPPED ] NVFuserTest.FusionSmemBlockGemmCacheDoubleBuffer_CUDA
2022-11-23T03:26:36.9570817Z [  SKIPPED ] NVFuserTest.FusionIntermediateTensorVectorize_CUDA
2022-11-23T03:26:36.9571358Z [  SKIPPED ] NVFuserTest.FusionBroadcastConcretization1_CUDA
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2022-11-23T03:26:36.9573506Z [  SKIPPED ] NVFuserTest.FusionIssue1430_CUDA
2022-11-23T03:26:36.9574011Z [  SKIPPED ] NVFuserTest.FusionCodegenAllocatedScalars_CUDA
2022-11-23T03:26:36.9574509Z [  SKIPPED ] NVFuserTest.FusionIndexHoist1_CUDA
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2022-11-23T03:26:36.9575526Z [  SKIPPED ] NVFuserTest.FusionTestGridComm_CUDA
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2022-11-23T03:26:36.9577060Z [  SKIPPED ] NVFuserTest.FusionDoubleBufferVector_CUDA
2022-11-23T03:26:36.9577535Z [  SKIPPED ] NVFuserTest.FusionLargeSmem_CUDA
2022-11-23T03:26:36.9577989Z [  SKIPPED ] NVFuserTest.FusionTooLargeSmem_CUDA
2022-11-23T03:26:36.9578430Z [  SKIPPED ] NVFuserTest.FusionSmemAlignment_CUDA
2022-11-23T03:26:36.9578938Z [  SKIPPED ] NVFuserTest.FusionImmediateValueAsInput_CUDA
2022-11-23T03:26:36.9579462Z [  SKIPPED ] NVFuserTest.FusionVectorizeContigIndex_CUDA
2022-11-23T03:26:36.9579993Z [  SKIPPED ] NVFuserTest.FusionVectorizeContigIndexFail_CUDA
2022-11-23T03:26:36.9580514Z [  SKIPPED ] NVFuserTest.FusionVectorizeInputToOutput_CUDA
2022-11-23T03:26:36.9581106Z [  SKIPPED ] NVFuserTest.FusionVectorizeContigIndexValidationFail_CUDA
2022-11-23T03:26:36.9581701Z [  SKIPPED ] NVFuserTest.FusionContigIndexingWithBroadcast_CUDA
2022-11-23T03:26:36.9582285Z [  SKIPPED ] NVFuserTest.FusionVectorizeContigIndexValidationFail2_CUDA
2022-11-23T03:26:36.9582907Z [  SKIPPED ] NVFuserTest.FusionVectorizeContigIndexWithBroadcast_CUDA
2022-11-23T03:26:36.9583546Z [  SKIPPED ] NVFuserTest.FusionVectorizeContigIndexPointwiseSchedule_CUDA
2022-11-23T03:26:36.9584162Z [  SKIPPED ] NVFuserTest.FusionTrivialReductionForwarding1_CUDA
2022-11-23T03:26:36.9584714Z [  SKIPPED ] NVFuserTest.FusionTrivialReductionForwarding2_CUDA
2022-11-23T03:26:36.9585275Z [  SKIPPED ] NVFuserTest.FusionTrivialReductionForwarding3_CUDA
2022-11-23T03:26:36.9585850Z [  SKIPPED ] NVFuserTest.FusionTrivialReductionForwarding4_CUDA
2022-11-23T03:26:36.9586460Z [  SKIPPED ] NVFuserTest.FusionRAWSyncInsertionPlace1_CUDA
2022-11-23T03:26:36.9587002Z [  SKIPPED ] NVFuserTest.FusionRAWSyncInsertionPlace2_CUDA
2022-11-23T03:26:36.9587543Z [  SKIPPED ] NVFuserTest.FusionRAWSyncInsertionPlace3_CUDA
2022-11-23T03:26:36.9588060Z [  SKIPPED ] NVFuserTest.FusionRAWSyncInsertionPlace4_CUDA
2022-11-23T03:26:36.9588622Z [  SKIPPED ] NVFuserTest.FusionSerialSmemWriteParallelRead1_CUDA
2022-11-23T03:26:36.9589207Z [  SKIPPED ] NVFuserTest.FusionSerialSmemWriteParallelRead2_CUDA
2022-11-23T03:26:36.9589730Z [  SKIPPED ] NVFuserTest.FusionSimpleCpAsync_CUDA
2022-11-23T03:26:36.9590457Z [  SKIPPED ] NVFuserTest.FusionDoubleBufferCpAsync1_CUDA
2022-11-23T03:26:36.9590972Z [  SKIPPED ] NVFuserTest.FusionDoubleBufferCpAsync2_CUDA
2022-11-23T03:26:36.9591479Z [  SKIPPED ] NVFuserTest.FusionDoubleBufferNoSync_CUDA
2022-11-23T03:26:36.9591954Z [  SKIPPED ] NVFuserTest.FusionCpAsyncPredicate_CUDA
2022-11-23T03:26:36.9592441Z [  SKIPPED ] NVFuserTest.FusionPredRemovalCheck_CUDA
2022-11-23T03:26:36.9593001Z [  SKIPPED ] NVFuserTest.FusionPropagateParallelTypesToSiblings_CUDA
2022-11-23T03:26:36.9593555Z [  SKIPPED ] NVFuserTest.FusionExactRootDomainMap_CUDA
2022-11-23T03:26:36.9594044Z [  SKIPPED ] NVFuserTest.FusionIncompleteConcreteID_CUDA
2022-11-23T03:26:36.9594576Z [  SKIPPED ] NVFuserTest.FusionTestReEntrantGridWelford_CUDA
2022-11-23T03:26:36.9595093Z [  SKIPPED ] NVFuserTest.FusionRedundantPredSync_CUDA
2022-11-23T03:26:36.9595578Z [  SKIPPED ] NVFuserTest.FusionRedundantPredSync2_CUDA
2022-11-23T03:26:36.9596085Z [  SKIPPED ] NVFuserTest.FusionRedundantPredSync3_CUDA
2022-11-23T03:26:36.9596583Z [  SKIPPED ] NVFuserTest.FusionRedundantUseCheck_CUDA
2022-11-23T03:26:36.9597052Z [  SKIPPED ] NVFuserTest.FusionSimpleSwizzle0_CUDA
2022-11-23T03:26:36.9597519Z [  SKIPPED ] NVFuserTest.FusionSimpleSwizzle1_CUDA
2022-11-23T03:26:36.9598096Z [  SKIPPED ] NVFuserTest.FusionSimpleSwizzle2_CUDA
2022-11-23T03:26:36.9598582Z [  SKIPPED ] NVFuserTest.FusionSwizzleMapping_CUDA
2022-11-23T03:26:36.9599020Z [  SKIPPED ] NVFuserTest.FusionLoopSwizzle0_CUDA
2022-11-23T03:26:36.9599487Z [  SKIPPED ] NVFuserTest.FusionLoopSwizzle1_CUDA
2022-11-23T03:26:36.9599963Z [  SKIPPED ] NVFuserTest.FusionLoopSwizzleCheck0_CUDA
2022-11-23T03:26:36.9600435Z [  SKIPPED ] NVFuserTest.FusionLoopSwizzleCheck1_CUDA
2022-11-23T03:26:36.9600895Z [  SKIPPED ] NVFuserTest.FusionUnsqueeze1_CUDA
2022-11-23T03:26:36.9601346Z [  SKIPPED ] NVFuserTest.FusionSqueeze1_CUDA
2022-11-23T03:26:36.9601785Z [  SKIPPED ] NVFuserTest.FusionContigPredicate_CUDA
2022-11-23T03:26:36.9602251Z [  SKIPPED ] NVFuserTest.FusionDivScalarLhs_CUDA
2022-11-23T03:26:36.9602700Z [  SKIPPED ] NVFuserTest.FusionRepro1713_CUDA
2022-11-23T03:26:36.9603139Z [  SKIPPED ] NVFuserTest.FusionExpand_CUDA
2022-11-23T03:26:36.9603580Z [  SKIPPED ] NVFuserTest.FusionExpandIssue1751_CUDA
2022-11-23T03:26:36.9604073Z [  SKIPPED ] NVFuserTest.FusionExpandToConcrete_CUDA
2022-11-23T03:26:36.9604587Z [  SKIPPED ] NVFuserTest.FusionReproNoncontigBroadcast_CUDA
2022-11-23T03:26:36.9605124Z [  SKIPPED ] NVFuserTest.FusionTransformPropagateSibling_CUDA
2022-11-23T03:26:36.9605724Z [  SKIPPED ] NVFuserTest.FusionTransformPropagateSelectorSibling_CUDA
2022-11-23T03:26:36.9606314Z [  SKIPPED ] NVFuserTest.FusionTransformPropagatePosition_CUDA
2022-11-23T03:26:36.9606953Z [  SKIPPED ] NVFuserTest.FusionIgnoreZeroDimReduction_CUDA
2022-11-23T03:26:36.9607451Z [  SKIPPED ] NVFuserTest.FusionIssue1770Repro_CUDA
2022-11-23T03:26:36.9607979Z [  SKIPPED ] NVFuserTest.FusionTransformPropagatorSelector_CUDA
2022-11-23T03:26:36.9608545Z [  SKIPPED ] NVFuserTest.FusionTransformPropagatorPos_CUDA
2022-11-23T03:26:36.9609150Z [  SKIPPED ] NVFuserTest.FusionMaxRootDomainInfoSpanningTreePrintTwice_CUDA
2022-11-23T03:26:36.9609789Z [  SKIPPED ] NVFuserTest.FusionTransformPropagatorNoOverwrite_CUDA
2022-11-23T03:26:36.9610331Z [  SKIPPED ] NVFuserTest.FusionIssue1785Repro_CUDA
2022-11-23T03:26:36.9610775Z [  SKIPPED ] NVFuserTest.FusionSkipReplay_CUDA
2022-11-23T03:26:36.9611253Z [  SKIPPED ] NVFuserTest.FusionInlineRepro1803_CUDA
2022-11-23T03:26:36.9611780Z [  SKIPPED ] NVFuserTest.FusionBoundedDirectionSelection1_CUDA
2022-11-23T03:26:36.9612304Z [  SKIPPED ] NVFuserTest.FusionIssueRepro1844_CUDA
2022-11-23T03:26:36.9612910Z [  SKIPPED ] NVFuserTest.FusionInsertMagicZero1_CUDA
2022-11-23T03:26:36.9613380Z [  SKIPPED ] NVFuserTest.FusionRepro1860_CUDA
2022-11-23T03:26:36.9613831Z [  SKIPPED ] NVFuserTest.FusionExpandReduce_CUDA
2022-11-23T03:26:36.9614283Z [  SKIPPED ] NVFuserTest.FusionExpandReduce2_CUDA
2022-11-23T03:26:36.9614779Z [  SKIPPED ] NVFuserTest.FusionExpandBadShapeTest_CUDA
2022-11-23T03:26:36.9615428Z [  SKIPPED ] NVFuserTest.FusionPointwiseScheduleWithBroadcastAndTrivialReduction_CUDA
2022-11-23T03:26:36.9616512Z [  SKIPPED ] NVFuserTest.FusionInliningMismatchedDims1_CUDA
2022-11-23T03:26:36.9617219Z [  SKIPPED ] NVFuserTest.FusionInliningMismatchedDims2_CUDA
2022-11-23T03:26:36.9617763Z [  SKIPPED ] NVFuserTest.FusionInliningMismatchedDims3_CUDA
2022-11-23T03:26:36.9618298Z [  SKIPPED ] NVFuserTest.FusionInliningMismatchedDims4_CUDA
2022-11-23T03:26:36.9618798Z [  SKIPPED ] NVFuserTest.FusionInliningBroadcast_CUDA
2022-11-23T03:26:36.9619359Z [  SKIPPED ] NVFuserTest.FusionInliningBroadcastTrivialReduction_CUDA
2022-11-23T03:26:36.9620031Z [  SKIPPED ] NVFuserTest.FusionMatchedLeafPosWithoutReplayTrivialReduction_CUDA
2022-11-23T03:26:36.9620900Z [  SKIPPED ] NVFuserTest.FusionMatchedLeafPosWithoutReplayBroadcast_CUDA
2022-11-23T03:26:36.9621510Z [  SKIPPED ] NVFuserTest.FusionIdGraphTrivialReduction_CUDA
2022-11-23T03:26:36.9621981Z [  SKIPPED ] NVFuserTest.FusionPrint_CUDA
2022-11-23T03:26:36.9622459Z [  SKIPPED ] NVFuserTest.FusionCheckedSymbolicShape_CUDA
2022-11-23T03:26:36.9622943Z [  SKIPPED ] NVFuserTest.FusionSizeDependentData_CUDA
2022-11-23T03:26:36.9623426Z [  SKIPPED ] NVFuserTest.FusionDependencyCheck_CUDA
2022-11-23T03:26:36.9623952Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeRepro1_CUDA
2022-11-23T03:26:36.9624488Z [  SKIPPED ] NVFuserTest.FusionInlineBroadcastIndexing0_CUDA
2022-11-23T03:26:36.9624997Z [  SKIPPED ] NVFuserTest.FusionPredicateUnshare_CUDA
2022-11-23T03:26:36.9625462Z [  SKIPPED ] NVFuserTest.AsyncCompilation_CUDA
2022-11-23T03:26:36.9625990Z [  SKIPPED ] NVFuserTest.FusionMergeBroadcastingTrivialReduction1_CUDA
2022-11-23T03:26:36.9626641Z [  SKIPPED ] NVFuserTest.FusionMergeBroadcastingTrivialReduction2_CUDA
2022-11-23T03:26:36.9627262Z [  SKIPPED ] NVFuserTest.FusionNullScheduler_CUDA
2022-11-23T03:26:36.9627734Z [  SKIPPED ] NVFuserTest.FusionNullScheduler2_CUDA
2022-11-23T03:26:36.9628182Z [  SKIPPED ] NVFuserTest.FusionNullScheduler3_CUDA
2022-11-23T03:26:36.9628618Z [  SKIPPED ] NVFuserTest.FusionEmpty_CUDA
2022-11-23T03:26:36.9629069Z [  SKIPPED ] NVFuserTest.FusionMappingRelation_CUDA
2022-11-23T03:26:36.9629504Z [  SKIPPED ] NVFuserTest.FusionInlineAt_CUDA
2022-11-23T03:26:36.9629999Z [  SKIPPED ] NVFuserTest.FusionTrivialInputForwarding_CUDA
2022-11-23T03:26:36.9630535Z [  SKIPPED ] NVFuserTest.FusionTrivialInputForwarding2_CUDA
2022-11-23T03:26:36.9631112Z [  SKIPPED ] NVFuserTest.FusionReplayTrivialReductionAndBroadcast2_CUDA
2022-11-23T03:26:36.9631718Z [  SKIPPED ] NVFuserTest.FusionVectorizeStrideContiguity2D_CUDA
2022-11-23T03:26:36.9632297Z [  SKIPPED ] NVFuserTest.FusionVectorizeStrideContiguity3D_CUDA
2022-11-23T03:26:36.9632874Z [  SKIPPED ] NVFuserTest.FusionVectorizeStrideContiguity5D_CUDA
2022-11-23T03:26:36.9633537Z [  SKIPPED ] NVFuserTest.FusionVectorizeStrideContiguitySelfOverlapping_CUDA
2022-11-23T03:26:36.9634143Z [  SKIPPED ] NVFuserTest.FusionSimpleAmperePipeline_CUDA
2022-11-23T03:26:36.9634654Z [  SKIPPED ] NVFuserTest.FusionStandaloneFull_CUDA
2022-11-23T03:26:36.9635108Z [  SKIPPED ] NVFuserTest.FusionStandaloneZeros_CUDA
2022-11-23T03:26:36.9635581Z [  SKIPPED ] NVFuserTest.FusionStandaloneOnes_CUDA
2022-11-23T03:26:36.9636259Z [  SKIPPED ] NVFuserTest.FusionStandaloneARange_CUDA
2022-11-23T03:26:36.9636717Z [  SKIPPED ] NVFuserTest.FusionStandaloneEye_CUDA
2022-11-23T03:26:36.9637191Z [  SKIPPED ] NVFuserTest.FusionGridAllreduce1_CUDA
2022-11-23T03:26:36.9637661Z [  SKIPPED ] NVFuserTest.FusionGridAllreduce2_CUDA
2022-11-23T03:26:36.9638129Z [  SKIPPED ] NVFuserTest.FusionGridAllreduce3_CUDA
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2022-11-23T03:26:36.9639053Z [  SKIPPED ] NVFuserTest.FusionGridAllreduce5_CUDA
2022-11-23T03:26:36.9639522Z [  SKIPPED ] NVFuserTest.FusionGridAllreduce6_CUDA
2022-11-23T03:26:36.9639997Z [  SKIPPED ] NVFuserTest.FusionGridAllreduceWelford1_CUDA
2022-11-23T03:26:36.9640524Z [  SKIPPED ] NVFuserTest.FusionGridAllreduceWelford2_CUDA
2022-11-23T03:26:36.9641075Z [  SKIPPED ] NVFuserTest.FusionFusedReductionBatchnorm_CUDA
2022-11-23T03:26:36.9641610Z [  SKIPPED ] NVFuserTest.FusionGroupedReduction1_CUDA
2022-11-23T03:26:36.9642084Z [  SKIPPED ] NVFuserTest.FusionGroupedReduction2_CUDA
2022-11-23T03:26:36.9642570Z [  SKIPPED ] NVFuserTest.FusionGroupedReduction3_CUDA
2022-11-23T03:26:36.9643060Z [  SKIPPED ] NVFuserTest.FusionGroupedReduction4_CUDA
2022-11-23T03:26:36.9643644Z [  SKIPPED ] NVFuserTest.FusionGroupedReduction5_CUDA
2022-11-23T03:26:36.9644150Z [  SKIPPED ] NVFuserTest.FusionGroupedReduction6_CUDA
2022-11-23T03:26:36.9644654Z [  SKIPPED ] NVFuserTest.FusionGroupedReduction7_CUDA
2022-11-23T03:26:36.9645159Z [  SKIPPED ] NVFuserTest.FusionGroupedReductionRfactor1_CUDA
2022-11-23T03:26:36.9645707Z [  SKIPPED ] NVFuserTest.FusionGroupedReductionRfactor2_CUDA
2022-11-23T03:26:36.9646289Z [  SKIPPED ] NVFuserTest.FusionGroupedReductionAfterComputeAt_CUDA
2022-11-23T03:26:36.9646835Z [  SKIPPED ] NVFuserTest.FusionGroupAllreduce1_CUDA
2022-11-23T03:26:36.9647306Z [  SKIPPED ] NVFuserTest.FusionGroupAllreduce2_CUDA
2022-11-23T03:26:36.9647789Z [  SKIPPED ] NVFuserTest.FusionGroupAllreduce3_CUDA
2022-11-23T03:26:36.9648273Z [  SKIPPED ] NVFuserTest.FusionGroupAllreduce4_CUDA
2022-11-23T03:26:36.9648731Z [  SKIPPED ] NVFuserTest.FusionGroupAllreduce5_CUDA
2022-11-23T03:26:36.9649269Z [  SKIPPED ] NVFuserTest.FusionPersistentBNBackwardAllreduce_CUDA
2022-11-23T03:26:36.9649845Z [  SKIPPED ] NVFuserTest.FusionGroupedReductionReEntrant1_CUDA
2022-11-23T03:26:36.9650465Z [  SKIPPED ] NVFuserTest.FusionGroupedReductionChannelsLastBatchNormLike_CUDA
2022-11-23T03:26:36.9651222Z [  SKIPPED ] NVFuserTest.FusionGroupedReductionPersistentChannelsLastBatchNormLike_CUDA
2022-11-23T03:26:36.9651939Z [  SKIPPED ] NVFuserTest.FusionCrossIterationGroupedGridAllreduce1_CUDA
2022-11-23T03:26:36.9652578Z [  SKIPPED ] NVFuserTest.FusionCrossIterationGroupedGridAllreduce2_CUDA
2022-11-23T03:26:36.9653213Z [  SKIPPED ] NVFuserTest.FusionCrossIterationGroupedGridAllreduce3_CUDA
2022-11-23T03:26:36.9653848Z [  SKIPPED ] NVFuserTest.FusionCrossIterationGroupedGridAllreduce4_CUDA
2022-11-23T03:26:36.9654529Z [  SKIPPED ] NVFuserTest.FusionCrossIterationGroupedGridAllreduceWelford1_CUDA
2022-11-23T03:26:36.9655223Z [  SKIPPED ] NVFuserTest.FusionCrossIterationGroupedGridAllreduceWelford2_CUDA
2022-11-23T03:26:36.9655955Z [  SKIPPED ] NVFuserTest.FusionCrossIterationGroupedGridAllreduceWelfordShmoo_CUDA
2022-11-23T03:26:36.9657160Z [  SKIPPED ] NVFuserTest.FusionShift1_CUDA
2022-11-23T03:26:36.9657593Z [  SKIPPED ] NVFuserTest.FusionShift2_CUDA
2022-11-23T03:26:36.9658028Z [  SKIPPED ] NVFuserTest.FusionShiftRightOfCA_CUDA
2022-11-23T03:26:36.9658494Z [  SKIPPED ] NVFuserTest.FusionShiftLeftOfCA_CUDA
2022-11-23T03:26:36.9659238Z [  SKIPPED ] NVFuserTest.FusionShiftSplit1_CUDA
2022-11-23T03:26:36.9659668Z [  SKIPPED ] NVFuserTest.FusionShiftSplit2_CUDA
2022-11-23T03:26:36.9660140Z [  SKIPPED ] NVFuserTest.FusionShiftDoubleSplit_CUDA
2022-11-23T03:26:36.9660634Z [  SKIPPED ] NVFuserTest.FusionShift3ptStencil_CUDA
2022-11-23T03:26:36.9661091Z [  SKIPPED ] NVFuserTest.FusionShift5ptStencil_CUDA
2022-11-23T03:26:36.9661580Z [  SKIPPED ] NVFuserTest.FusionShift9ptStencil_CUDA
2022-11-23T03:26:36.9662061Z [  SKIPPED ] NVFuserTest.FusionShiftSmemBlocking_CUDA
2022-11-23T03:26:36.9662580Z [  SKIPPED ] NVFuserTest.FusionShift3ptStencilParallel_CUDA
2022-11-23T03:26:36.9663099Z [  SKIPPED ] NVFuserTest.FusionShift5ptStencilParallel_CUDA
2022-11-23T03:26:36.9663585Z [  SKIPPED ] NVFuserTest.FusionShiftMerge1_CUDA
2022-11-23T03:26:36.9664032Z [  SKIPPED ] NVFuserTest.FusionShiftMerge2_CUDA
2022-11-23T03:26:36.9664457Z [  SKIPPED ] NVFuserTest.FusionShiftGlobal_CUDA
2022-11-23T03:26:36.9664954Z [  SKIPPED ] NVFuserTest.FusionShiftDoubleSplitMerge1_CUDA
2022-11-23T03:26:36.9665490Z [  SKIPPED ] NVFuserTest.FusionShiftDoubleSplitMerge2_CUDA
2022-11-23T03:26:36.9666086Z [  SKIPPED ] NVFuserTest.FusionShift5ptStencilParallel1DThreadBlock_CUDA
2022-11-23T03:26:36.9666750Z [  SKIPPED ] NVFuserTest.FusionShiftChain1_CUDA
2022-11-23T03:26:36.9667216Z [  SKIPPED ] NVFuserTest.FusionShiftChain2_CUDA
2022-11-23T03:26:36.9667663Z [  SKIPPED ] NVFuserTest.FusionShiftChain3_CUDA
2022-11-23T03:26:36.9668089Z [  SKIPPED ] NVFuserTest.FusionShiftChain4_CUDA
2022-11-23T03:26:36.9668567Z [  SKIPPED ] NVFuserTest.FusionShift5ptStencilChain_CUDA
2022-11-23T03:26:36.9669066Z [  SKIPPED ] NVFuserTest.FusionShiftReduction1_CUDA
2022-11-23T03:26:36.9669529Z [  SKIPPED ] NVFuserTest.FusionShiftReduction2_CUDA
2022-11-23T03:26:36.9670003Z [  SKIPPED ] NVFuserTest.FusionShiftRfactor1_CUDA
2022-11-23T03:26:36.9670463Z [  SKIPPED ] NVFuserTest.FusionShiftBcast1_CUDA
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2022-11-23T03:26:36.9671336Z [  SKIPPED ] NVFuserTest.FusionShiftBcast3_CUDA
2022-11-23T03:26:36.9671808Z [  SKIPPED ] NVFuserTest.FusionShiftSyncPlacement1_CUDA
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2022-11-23T03:26:36.9672754Z [  SKIPPED ] NVFuserTest.FusionHdiff_CUDA
2022-11-23T03:26:36.9673248Z [  SKIPPED ] NVFuserTest.FusionHdiffPartialSplitUnswitch_CUDA
2022-11-23T03:26:36.9673752Z [  SKIPPED ] NVFuserTest.FusionMaxPooling_CUDA
2022-11-23T03:26:36.9674168Z [  SKIPPED ] NVFuserTest.FusionGather1_CUDA
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2022-11-23T03:26:36.9675011Z [  SKIPPED ] NVFuserTest.FusionGather3_CUDA
2022-11-23T03:26:36.9675424Z [  SKIPPED ] NVFuserTest.FusionGather4_CUDA
2022-11-23T03:26:36.9675840Z [  SKIPPED ] NVFuserTest.FusionGather5_CUDA
2022-11-23T03:26:36.9676264Z [  SKIPPED ] NVFuserTest.FusionGather6_CUDA
2022-11-23T03:26:36.9676683Z [  SKIPPED ] NVFuserTest.FusionGather7_CUDA
2022-11-23T03:26:36.9677084Z [  SKIPPED ] NVFuserTest.FusionGather8_CUDA
2022-11-23T03:26:36.9677552Z [  SKIPPED ] NVFuserTest.FusionGather9_CUDA
2022-11-23T03:26:36.9677979Z [  SKIPPED ] NVFuserTest.FusionConv2D_CUDA
2022-11-23T03:26:36.9678417Z [  SKIPPED ] NVFuserTest.FusionConv2DNoPadding_CUDA
2022-11-23T03:26:36.9678931Z [  SKIPPED ] NVFuserTest.FusionConv2DNoPaddingStrided_CUDA
2022-11-23T03:26:36.9679414Z [  SKIPPED ] NVFuserTest.FusionConv2DChain_CUDA
2022-11-23T03:26:36.9679904Z [  SKIPPED ] NVFuserTest.FusionConv2DStaticEvenSizedWindow_CUDA
2022-11-23T03:26:36.9680426Z [  SKIPPED ] NVFuserTest.FusionConv4x4Pad1x1_CUDA
2022-11-23T03:26:36.9681014Z [  SKIPPED ] NVFuserTest.FusionConv4x5Pad1x2_CUDA
2022-11-23T03:26:36.9681496Z [  SKIPPED ] NVFuserTest.FusionConv4x4Pad1x1Stride4_CUDA
2022-11-23T03:26:36.9681941Z [  SKIPPED ] NVFuserTest.FusionIm2Col_CUDA
2022-11-23T03:26:36.9682397Z [  SKIPPED ] NVFuserTest.FusionShiftNoPadding1_CUDA
2022-11-23T03:26:36.9682882Z [  SKIPPED ] NVFuserTest.FusionShiftNoPadding2_CUDA
2022-11-23T03:26:36.9683346Z [  SKIPPED ] NVFuserTest.FusionShiftNoPadding3_CUDA
2022-11-23T03:26:36.9683877Z [  SKIPPED ] NVFuserTest.FusionShiftNoPaddingContigMerge_CUDA
2022-11-23T03:26:36.9684412Z [  SKIPPED ] NVFuserTest.FusionShiftNoPaddingChain_CUDA
2022-11-23T03:26:36.9684909Z [  SKIPPED ] NVFuserTest.FusionShiftNoPaddingRfactor_CUDA
2022-11-23T03:26:36.9685410Z [  SKIPPED ] NVFuserTest.FusionShiftPadding1_CUDA
2022-11-23T03:26:36.9685877Z [  SKIPPED ] NVFuserTest.FusionPartialSplit1_CUDA
2022-11-23T03:26:36.9686344Z [  SKIPPED ] NVFuserTest.FusionPartialSplit2_CUDA
2022-11-23T03:26:36.9686778Z [  SKIPPED ] NVFuserTest.FusionPartialSplit3_CUDA
2022-11-23T03:26:36.9687251Z [  SKIPPED ] NVFuserTest.FusionPartialSplit4_CUDA
2022-11-23T03:26:36.9687712Z [  SKIPPED ] NVFuserTest.FusionPartialSplit5_CUDA
2022-11-23T03:26:36.9688267Z [  SKIPPED ] NVFuserTest.FusionPartialSplit6_CUDA
2022-11-23T03:26:36.9688748Z [  SKIPPED ] NVFuserTest.FusionShiftUnswitch1_CUDA
2022-11-23T03:26:36.9689226Z [  SKIPPED ] NVFuserTest.FusionGatherUnswitch1_CUDA
2022-11-23T03:26:36.9689683Z [  SKIPPED ] NVFuserTest.FusionGatherStrided1_CUDA
2022-11-23T03:26:36.9690157Z [  SKIPPED ] NVFuserTest.FusionGatherStrided2_CUDA
2022-11-23T03:26:36.9690626Z [  SKIPPED ] NVFuserTest.FusionGatherStrided3_CUDA
2022-11-23T03:26:36.9691096Z [  SKIPPED ] NVFuserTest.FusionGatherStrided4_CUDA
2022-11-23T03:26:36.9691545Z [  SKIPPED ] NVFuserTest.FusionGatherStrided5_CUDA
2022-11-23T03:26:36.9692020Z [  SKIPPED ] NVFuserTest.FusionGatherStrided6_CUDA
2022-11-23T03:26:36.9692486Z [  SKIPPED ] NVFuserTest.FusionGatherStrided7_CUDA
2022-11-23T03:26:36.9692931Z [  SKIPPED ] NVFuserTest.FusionGatherStrided8_CUDA
2022-11-23T03:26:36.9693422Z [  SKIPPED ] NVFuserTest.FusionGatherStridedChain_CUDA
2022-11-23T03:26:36.9693939Z [  SKIPPED ] NVFuserTest.FusionMaxPoolingStrided_CUDA
2022-11-23T03:26:36.9694429Z [  SKIPPED ] NVFuserTest.FusionConv2DStaticStrided_CUDA
2022-11-23T03:26:36.9694933Z [  SKIPPED ] NVFuserTest.FusionNonDivisibleHalo1_CUDA
2022-11-23T03:26:36.9695431Z [  SKIPPED ] NVFuserTest.FusionNonDivisibleHalo2_CUDA
2022-11-23T03:26:36.9695986Z [  SKIPPED ] NVFuserTest.FusionGather9ptStencilDoubleBuffering_CUDA
2022-11-23T03:26:36.9697257Z [  SKIPPED ] NVFuserTest.FusionValidateParallelizeShift_CUDA
2022-11-23T03:26:36.9697813Z [  SKIPPED ] NVFuserTest.FusionGatherIterTypePromotion_CUDA
2022-11-23T03:26:36.9698359Z [  SKIPPED ] NVFuserTest.FusionContigPredicateShift_CUDA
2022-11-23T03:26:36.9698814Z [  SKIPPED ] NVFuserTest.FusionVoltaMMATT_CUDA
2022-11-23T03:26:36.9699257Z [  SKIPPED ] NVFuserTest.FusionVoltaMMATN_CUDA
2022-11-23T03:26:36.9699700Z [  SKIPPED ] NVFuserTest.FusionVoltaMMANT_CUDA
2022-11-23T03:26:36.9700134Z [  SKIPPED ] NVFuserTest.FusionVoltaMatmul_CUDA
2022-11-23T03:26:36.9700649Z [  SKIPPED ] NVFuserTest.FusionVoltaMatmulRegDoubleBuffer_CUDA
2022-11-23T03:26:36.9701152Z [  SKIPPED ] NVFuserTest.FusionAmpereMMATN_CUDA
2022-11-23T03:26:36.9701603Z [  SKIPPED ] NVFuserTest.FusionAmpereMMATT_CUDA
2022-11-23T03:26:36.9702031Z [  SKIPPED ] NVFuserTest.FusionAmpereMMANT_CUDA
2022-11-23T03:26:36.9702478Z [  SKIPPED ] NVFuserTest.FusionAmpereMatmul_CUDA
2022-11-23T03:26:36.9702990Z [  SKIPPED ] NVFuserTest.FusionAmpereMatmulPipelineGmem_CUDA
2022-11-23T03:26:36.9703825Z [  SKIPPED ] NVFuserTest.FusionAmpereMatmulRegDbouleBuffer_CUDA
2022-11-23T03:26:36.9704363Z [  SKIPPED ] NVFuserTest.FusionMatmulMatmulAmpere_CUDA
2022-11-23T03:26:36.9704899Z [  SKIPPED ] NVFuserTest.FusionMatmulSoftmaxMatmulAmpere_CUDA
2022-11-23T03:26:36.9705378Z [  SKIPPED ] NVFuserTest.FusionTuringMMATN_CUDA
2022-11-23T03:26:36.9705827Z [  SKIPPED ] NVFuserTest.FusionTuringMMATT_CUDA
2022-11-23T03:26:36.9706273Z [  SKIPPED ] NVFuserTest.FusionTuringMMANT_CUDA
2022-11-23T03:26:36.9706726Z [  SKIPPED ] NVFuserTest.FusionTuringMatmul_CUDA
2022-11-23T03:26:36.9707203Z [  SKIPPED ] NVFuserTest.FusionAmpereMatmulTNcpAsync_CUDA
2022-11-23T03:26:36.9707758Z [  SKIPPED ] NVFuserTest.FusionAmpereStridedBatchedMatmulTN_CUDA
2022-11-23T03:26:36.9708299Z [  SKIPPED ] NVFuserTest.FusionAmpereViewMatmulTN_CUDA
2022-11-23T03:26:36.9708801Z [  SKIPPED ] NVFuserTest.FusionVoltaMatMulTNCrossWarp_CUDA
2022-11-23T03:26:36.9709337Z [  SKIPPED ] NVFuserTest.FusionVoltaMatMulTNCrossCTA_CUDA
2022-11-23T03:26:36.9709866Z [  SKIPPED ] NVFuserTest.FusionAmpereMatmulTNSwizzled_CUDA
2022-11-23T03:26:36.9710394Z [  SKIPPED ] NVFuserTest.FusionAmpereMatmulLargeLoad_CUDA
2022-11-23T03:26:36.9711035Z [  SKIPPED ] NVFuserTest.FusionTuringMatmulLargeLoad_CUDA
2022-11-23T03:26:36.9711589Z [  SKIPPED ] NVFuserTest.FusionViewDtypeSameSizeOutput_CUDA
2022-11-23T03:26:36.9712143Z [  SKIPPED ] NVFuserTest.FusionViewDtypeFailMismatchSize_CUDA
2022-11-23T03:26:36.9712646Z [  SKIPPED ] NVFuserTest.FusionViewAsRealOutput_CUDA
2022-11-23T03:26:36.9713195Z [  SKIPPED ] NVFuserTest.FusionViewRfactorExtentReplacement_CUDA
2022-11-23T03:26:36.9713703Z [  SKIPPED ] NVFuserTest.FusionViewOutput_CUDA
2022-11-23T03:26:36.9714172Z [  SKIPPED ] NVFuserTest.FusionViewFailMismatchSize_CUDA
2022-11-23T03:26:36.9714724Z [  SKIPPED ] NVFuserTest.FusionViewFailMulitDimInference_CUDA
2022-11-23T03:26:36.9715248Z [  SKIPPED ] NVFuserTest.FusionViewReductionShmoo_CUDA
2022-11-23T03:26:36.9715765Z [  SKIPPED ] NVFuserTest.FusionViewPersistentShmoo_CUDA
2022-11-23T03:26:36.9716217Z [  SKIPPED ] NVFuserTest.FusionViewSplit_CUDA
2022-11-23T03:26:36.9716679Z [  SKIPPED ] NVFuserTest.FusionViewBroadcast_CUDA
2022-11-23T03:26:36.9717132Z [  SKIPPED ] NVFuserTest.FusionViewMerge_CUDA
2022-11-23T03:26:36.9717568Z [  SKIPPED ] NVFuserTest.FusionViewAllShmoo_CUDA
2022-11-23T03:26:36.9718024Z [  SKIPPED ] NVFuserTest.FusionViewStride_CUDA
2022-11-23T03:26:36.9718476Z [  SKIPPED ] NVFuserTest.FusionViewBinary_CUDA
2022-11-23T03:26:36.9718930Z [  SKIPPED ] NVFuserTest.FusionViewConcreteDomain_CUDA
2022-11-23T03:26:36.9719446Z [  SKIPPED ] NVFuserTest.FusionViewConcreteDomain2_CUDA
2022-11-23T03:26:36.9719947Z [  SKIPPED ] NVFuserTest.FusionViewConcreteDomain3_CUDA
2022-11-23T03:26:36.9720469Z [  SKIPPED ] NVFuserTest.FusionViewConcreteDomain4_CUDA
2022-11-23T03:26:36.9720954Z [  SKIPPED ] NVFuserTest.FusionViewConcreteDomain5_CUDA
2022-11-23T03:26:36.9721502Z [  SKIPPED ] NVFuserTest.FusionFlattenAfterUnsqueezeOutput_CUDA
2022-11-23T03:26:36.9722107Z [  SKIPPED ] NVFuserTest.FusionComputeAtRootDomainMapWithView_CUDA
2022-11-23T03:26:36.9722613Z [  SKIPPED ] NVFuserTest.FusionExpandRepro_CUDA
2022-11-23T03:26:36.9723068Z [  SKIPPED ] NVFuserTest.FusionExpandView1_CUDA
2022-11-23T03:26:36.9723528Z [  SKIPPED ] NVFuserTest.FusionExpandView2_CUDA
2022-11-23T03:26:36.9724003Z [  SKIPPED ] NVFuserTest.FusionViewTransformCache_CUDA
2022-11-23T03:26:36.9724478Z [  SKIPPED ] NVFuserTest.FusionViewIdGraph_CUDA
2022-11-23T03:26:36.9724951Z [  SKIPPED ] NVFuserTest.FusionViewVectorize_CUDA
2022-11-23T03:26:36.9725436Z [  SKIPPED ] NVFuserTest.FusionExpandFlatten_CUDA
2022-11-23T03:26:36.9726081Z [  SKIPPED ] NVFuserTest.FusionIllegalReductionFlatten_CUDA
2022-11-23T03:26:36.9726607Z [  SKIPPED ] NVFuserTest.FusionReductionFlatten1_CUDA
2022-11-23T03:26:36.9727104Z [  SKIPPED ] NVFuserTest.FusionPwiseViewSchedule_CUDA
2022-11-23T03:26:36.9727580Z [  SKIPPED ] NVFuserTest.FusionSumViewSchedule_CUDA
2022-11-23T03:26:36.9728071Z [  SKIPPED ] NVFuserTest.FusionViewMagicSchedule1_CUDA
2022-11-23T03:26:36.9728565Z [  SKIPPED ] NVFuserTest.FusionViewMagicSchedule2_CUDA
2022-11-23T03:26:36.9729038Z [  SKIPPED ] NVFuserTest.FusionViewMagicSchedule3_CUDA
2022-11-23T03:26:36.9729529Z [  SKIPPED ] NVFuserTest.FusionViewMagicSchedule4_CUDA
2022-11-23T03:26:36.9730020Z [  SKIPPED ] NVFuserTest.FusionViewMagicSchedule5_CUDA
2022-11-23T03:26:36.9730500Z [  SKIPPED ] NVFuserTest.FusionViewMapping_CUDA
2022-11-23T03:26:36.9730976Z [  SKIPPED ] NVFuserTest.FusionLowerDivisibleSplits_CUDA
2022-11-23T03:26:36.9731456Z [  SKIPPED ] NVFuserTest.FusionTranspose1_CUDA
2022-11-23T03:26:36.9731901Z [  SKIPPED ] NVFuserTest.FusionTranspose2_CUDA
2022-11-23T03:26:36.9732371Z [  SKIPPED ] NVFuserTest.FusionTransposeWithSwizzle_CUDA
2022-11-23T03:26:36.9733050Z [  SKIPPED ] NVFuserTest.FusionTransposeWithSwizzle1DThreadBlock_CUDA
2022-11-23T03:26:36.9733722Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeSimple_CUDA
2022-11-23T03:26:36.9734289Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeSinTransposeCos_CUDA
2022-11-23T03:26:36.9734896Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeMultipleInput_CUDA
2022-11-23T03:26:36.9735501Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeMultipleOutput_CUDA
2022-11-23T03:26:36.9736628Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeMultipleInputOutput_CUDA
2022-11-23T03:26:36.9737483Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeMatchingSkipConnection_CUDA
2022-11-23T03:26:36.9738118Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeBroadcast_CUDA
2022-11-23T03:26:36.9738693Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeNoReference_CUDA
2022-11-23T03:26:36.9739222Z [  SKIPPED ] NVFuserTest.FusionScheduleBroadcastOnly_CUDA
2022-11-23T03:26:36.9739782Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeComplexDAG1_CUDA
2022-11-23T03:26:36.9740391Z [  SKIPPED ] NVFuserTest.FusionManualScheduleTransposeComplexDAG1_CUDA
2022-11-23T03:26:36.9740938Z [  SKIPPED ] NVFuserTest.FusionViewNoTranspose_CUDA
2022-11-23T03:26:36.9741430Z [  SKIPPED ] NVFuserTest.FusionTransposeSelfMapping_CUDA
2022-11-23T03:26:36.9741976Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeMissingDim_CUDA
2022-11-23T03:26:36.9742535Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeSmall_CUDA
2022-11-23T03:26:36.9743098Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeSmallInnerSize1_CUDA
2022-11-23T03:26:36.9743716Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeSmallInnerSize2_CUDA
2022-11-23T03:26:36.9744323Z [  SKIPPED ] NVFuserTest.FusionScheduleTransposeSmallInnerSize3_CUDA
2022-11-23T03:26:36.9744940Z [  SKIPPED ] NVFuserTest.FusionScheduleTranspose2DSmallInnerSize_CUDA
2022-11-23T03:26:36.9745494Z [  SKIPPED ] NVFuserTest.FusionTransposeBankConflict1_CUDA
2022-11-23T03:26:36.9746026Z [  SKIPPED ] NVFuserTest.FusionTransposeBankConflict2_CUDA
2022-11-23T03:26:36.9746622Z [  SKIPPED ] NVFuserTest.FusionTransposeBankConflict3_CUDA
2022-11-23T03:26:36.9747133Z [  SKIPPED ] NVFuserTest.FusionTransposeBankConflict4_CUDA
2022-11-23T03:26:36.9747666Z [  SKIPPED ] NVFuserTest.FusionTransposeBankConflict5_CUDA
2022-11-23T03:26:36.9748195Z [  SKIPPED ] NVFuserTest.FusionTransposeBankConflict6_CUDA
2022-11-23T03:26:36.9748710Z [  SKIPPED ] NVFuserTest.FusionTransposeBankConflict7_CUDA
2022-11-23T03:26:36.9749496Z [  SKIPPED ] NVFuserTest.FusionTransposeBankConflict8_CUDA
2022-11-23T03:26:36.9750021Z [  SKIPPED ] NVFuserTest.FusionRNGValidateWithCURand_CUDA
2022-11-23T03:26:36.9750608Z [  SKIPPED ] NVFuserTest.FusionRNGManualScheduleValidateWithCURand_CUDA
2022-11-23T03:26:36.9751246Z [  SKIPPED ] NVFuserTest.FusionRNGManualScheduleValidateWithCURand2_CUDA
2022-11-23T03:26:36.9751801Z [  SKIPPED ] NVFuserTest.FusionBroadcastingRNG_CUDA
2022-11-23T03:26:36.9752282Z [  SKIPPED ] NVFuserTest.FusionBroadcastingRNG2_CUDA
2022-11-23T03:26:36.9752754Z [  SKIPPED ] NVFuserTest.FusionBroadcastingRNGSmem_CUDA
2022-11-23T03:26:36.9753315Z [  SKIPPED ] NVFuserTest.FusionBroadcastingRNGSmemNonSquareTile_CUDA
2022-11-23T03:26:36.9753823Z [  SKIPPED ] NVFuserTest.FusionUniform_CUDA
2022-11-23T03:26:36.9754286Z [  SKIPPED ] NVFuserTest.FusionRandLikeReduction_CUDA
2022-11-23T03:26:36.9754738Z [  SKIPPED ] NVFuserTest.FusionSplitDims_CUDA
2022-11-23T03:26:36.9755177Z [  SKIPPED ] NVFuserTest.FusionMergeDims_CUDA
2022-11-23T03:26:36.9755647Z [  SKIPPED ] NVFuserTest.FusionReorderAsRFactor_CUDA
2022-11-23T03:26:36.9756110Z [  SKIPPED ] NVFuserTest.FusionDisjointViewSet_CUDA
2022-11-23T03:26:36.9756692Z [  SKIPPED ] NVFuserTest.FusionMatchingViews_CUDA
2022-11-23T03:26:36.9757208Z [  SKIPPED ] NVFuserTest.FusionBroadcastViewMultiples_CUDA
2022-11-23T03:26:36.9757679Z [  SKIPPED ] NVFuserTest.FusionTVDomainGuard_CUDA
2022-11-23T03:26:37.2056615Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug == *cuda* ]]
2022-11-23T03:26:37.2057296Z + [[ default != *nogpu* ]]
2022-11-23T03:26:37.2057753Z + LTC_TS_CUDA=1
2022-11-23T03:26:37.2058260Z + /opt/conda/lib/python3.10/site-packages/torch/bin/test_lazy --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_lazy.xml
2022-11-23T03:26:37.7287175Z Only one CUDA device detected. Disabling MultiCUDA tests
2022-11-23T03:26:37.7289650Z Note: Google Test filter = *-*_MultiCUDA
2022-11-23T03:26:37.7290459Z [==========] Running 612 tests from 10 test suites.
2022-11-23T03:26:37.7291393Z [----------] Global test environment set-up.
2022-11-23T03:26:37.7292003Z [----------] 11 tests from BackendDeviceTest
2022-11-23T03:26:37.7292460Z [ RUN      ] BackendDeviceTest.BackendDeviceType
2022-11-23T03:26:37.7292922Z [       OK ] BackendDeviceTest.BackendDeviceType (0 ms)
2022-11-23T03:26:37.7293377Z [ RUN      ] BackendDeviceTest.Basic1
2022-11-23T03:26:37.7293782Z [       OK ] BackendDeviceTest.Basic1 (0 ms)
2022-11-23T03:26:37.7294160Z [ RUN      ] BackendDeviceTest.Basic2
2022-11-23T03:26:37.7294564Z [       OK ] BackendDeviceTest.Basic2 (0 ms)
2022-11-23T03:26:37.7294963Z [ RUN      ] BackendDeviceTest.Basic3
2022-11-23T03:26:37.7295364Z [       OK ] BackendDeviceTest.Basic3 (0 ms)
2022-11-23T03:26:37.7295750Z [ RUN      ] BackendDeviceTest.Basic4
2022-11-23T03:26:37.7296538Z [       OK ] BackendDeviceTest.Basic4 (0 ms)
2022-11-23T03:26:37.7296958Z [ RUN      ] BackendDeviceTest.Compare
2022-11-23T03:26:37.7297367Z [       OK ] BackendDeviceTest.Compare (0 ms)
2022-11-23T03:26:37.7297758Z [ RUN      ] BackendDeviceTest.Ostream
2022-11-23T03:26:37.7298173Z [       OK ] BackendDeviceTest.Ostream (0 ms)
2022-11-23T03:26:37.7298578Z [ RUN      ] BackendDeviceTest.FromAten
2022-11-23T03:26:37.7309139Z [       OK ] BackendDeviceTest.FromAten (1 ms)
2022-11-23T03:26:37.7309738Z [ RUN      ] BackendDeviceTest.ToAten
2022-11-23T03:26:37.7310165Z [       OK ] BackendDeviceTest.ToAten (0 ms)
2022-11-23T03:26:37.7310497Z [ RUN      ] BackendDeviceTest.GetBackendDevice1
2022-11-23T03:26:37.7316194Z [       OK ] BackendDeviceTest.GetBackendDevice1 (0 ms)
2022-11-23T03:26:37.7317521Z [ RUN      ] BackendDeviceTest.GetBackendDevice2
2022-11-23T03:26:37.7318128Z [       OK ] BackendDeviceTest.GetBackendDevice2 (0 ms)
2022-11-23T03:26:37.7318775Z [----------] 11 tests from BackendDeviceTest (2 ms total)
2022-11-23T03:26:37.7319007Z 
2022-11-23T03:26:37.7319168Z [----------] 2 tests from CacheTest
2022-11-23T03:26:37.7319519Z [ RUN      ] CacheTest.BasicTest
2022-11-23T03:26:37.7319877Z [       OK ] CacheTest.BasicTest (0 ms)
2022-11-23T03:26:37.7320281Z [ RUN      ] CacheTest.ShapeCacheTestForDynamicShape
2022-11-23T03:26:37.7320795Z [       OK ] CacheTest.ShapeCacheTestForDynamicShape (0 ms)
2022-11-23T03:26:37.7321344Z [----------] 2 tests from CacheTest (0 ms total)
2022-11-23T03:26:37.7321490Z 
2022-11-23T03:26:37.7321647Z [----------] 5 tests from IrTest
2022-11-23T03:26:37.7321990Z [ RUN      ] IrTest.BasicTest
2022-11-23T03:26:37.7322329Z [       OK ] IrTest.BasicTest (0 ms)
2022-11-23T03:26:37.7322701Z [ RUN      ] IrTest.MetaDataTest
2022-11-23T03:26:37.7323076Z [       OK ] IrTest.MetaDataTest (0 ms)
2022-11-23T03:26:37.7323439Z [ RUN      ] IrTest.TsNodeTest
2022-11-23T03:26:37.7323903Z [       OK ] IrTest.TsNodeTest (0 ms)
2022-11-23T03:26:37.7324225Z [ RUN      ] IrTest.DimensionNodeTest
2022-11-23T03:26:37.7324758Z [       OK ] IrTest.DimensionNodeTest (0 ms)
2022-11-23T03:26:37.7325182Z [ RUN      ] IrTest.DimensionIsDynamicTest
2022-11-23T03:26:37.7325633Z [       OK ] IrTest.DimensionIsDynamicTest (0 ms)
2022-11-23T03:26:37.7326178Z [----------] 5 tests from IrTest (0 ms total)
2022-11-23T03:26:37.7326329Z 
2022-11-23T03:26:37.7326440Z [----------] 2 tests from IrUtilTest
2022-11-23T03:26:37.7326803Z [ RUN      ] IrUtilTest.BasicTest
2022-11-23T03:26:37.7327192Z [       OK ] IrUtilTest.BasicTest (0 ms)
2022-11-23T03:26:37.7327575Z [ RUN      ] IrUtilTest.TestCircle
2022-11-23T03:26:37.7348803Z [       OK ] IrUtilTest.TestCircle (2 ms)
2022-11-23T03:26:37.7349454Z [----------] 2 tests from IrUtilTest (2 ms total)
2022-11-23T03:26:37.7349839Z 
2022-11-23T03:26:37.7350058Z [----------] 2 tests from HashTest
2022-11-23T03:26:37.7350362Z [ RUN      ] HashTest.Scalar
2022-11-23T03:26:37.7350785Z [       OK ] HashTest.Scalar (0 ms)
2022-11-23T03:26:37.7351134Z [ RUN      ] HashTest.Sanity
2022-11-23T03:26:37.7351509Z [       OK ] HashTest.Sanity (0 ms)
2022-11-23T03:26:37.7351882Z [----------] 2 tests from HashTest (0 ms total)
2022-11-23T03:26:37.7352090Z 
2022-11-23T03:26:37.7352329Z [----------] 3 tests from PermutationUtilTest
2022-11-23T03:26:37.7352795Z [ RUN      ] PermutationUtilTest.TestInversePermutation
2022-11-23T03:26:37.7377772Z [       OK ] PermutationUtilTest.TestInversePermutation (2 ms)
2022-11-23T03:26:37.7378543Z [ RUN      ] PermutationUtilTest.TestIsPermutation
2022-11-23T03:26:37.7379004Z [       OK ] PermutationUtilTest.TestIsPermutation (0 ms)
2022-11-23T03:26:37.7379471Z [ RUN      ] PermutationUtilTest.TestPermute
2022-11-23T03:26:37.7401816Z [       OK ] PermutationUtilTest.TestPermute (2 ms)
2022-11-23T03:26:37.7402707Z [----------] 3 tests from PermutationUtilTest (5 ms total)
2022-11-23T03:26:37.7403157Z 
2022-11-23T03:26:37.7403386Z [----------] 7 tests from ShapeTest
2022-11-23T03:26:37.7403793Z [ RUN      ] ShapeTest.Basic1
2022-11-23T03:26:37.7404342Z [       OK ] ShapeTest.Basic1 (0 ms)
2022-11-23T03:26:37.7404926Z [ RUN      ] ShapeTest.Basic2
2022-11-23T03:26:37.7405318Z [       OK ] ShapeTest.Basic2 (0 ms)
2022-11-23T03:26:37.7405798Z [ RUN      ] ShapeTest.Basic3
2022-11-23T03:26:37.7406258Z [       OK ] ShapeTest.Basic3 (0 ms)
2022-11-23T03:26:37.7406646Z [ RUN      ] ShapeTest.SetScalarType
2022-11-23T03:26:37.7407296Z [       OK ] ShapeTest.SetScalarType (0 ms)
2022-11-23T03:26:37.7407674Z [ RUN      ] ShapeTest.SetSize
2022-11-23T03:26:37.7408038Z [       OK ] ShapeTest.SetSize (0 ms)
2022-11-23T03:26:37.7408368Z [ RUN      ] ShapeTest.Equal
2022-11-23T03:26:37.7408749Z [       OK ] ShapeTest.Equal (0 ms)
2022-11-23T03:26:37.7409093Z [ RUN      ] ShapeTest.Ostream
2022-11-23T03:26:37.7409440Z [       OK ] ShapeTest.Ostream (0 ms)
2022-11-23T03:26:37.7409847Z [----------] 7 tests from ShapeTest (0 ms total)
2022-11-23T03:26:37.7410056Z 
2022-11-23T03:26:37.7410264Z [----------] 2 tests from TrieCacheTest
2022-11-23T03:26:37.7410757Z [ RUN      ] TrieCacheTest.TestSinglePath
2022-11-23T03:26:37.7411100Z [       OK ] TrieCacheTest.TestSinglePath (0 ms)
2022-11-23T03:26:37.7411521Z [ RUN      ] TrieCacheTest.TestTwoPaths
2022-11-23T03:26:37.7411946Z [       OK ] TrieCacheTest.TestTwoPaths (0 ms)
2022-11-23T03:26:37.7412369Z [----------] 2 tests from TrieCacheTest (0 ms total)
2022-11-23T03:26:37.7412581Z 
2022-11-23T03:26:37.7412777Z [----------] 3 tests from UtilTest
2022-11-23T03:26:37.7413154Z [ RUN      ] UtilTest.ExceptionCleanup
2022-11-23T03:26:37.7413670Z [       OK ] UtilTest.ExceptionCleanup (0 ms)
2022-11-23T03:26:37.7414044Z [ RUN      ] UtilTest.MaybeRef
2022-11-23T03:26:37.7414405Z [       OK ] UtilTest.MaybeRef (0 ms)
2022-11-23T03:26:37.7414748Z [ RUN      ] UtilTest.Iota
2022-11-23T03:26:37.7415076Z [       OK ] UtilTest.Iota (0 ms)
2022-11-23T03:26:37.7415467Z [----------] 3 tests from UtilTest (0 ms total)
2022-11-23T03:26:37.7415674Z 
2022-11-23T03:26:37.7415885Z [----------] 575 tests from LazyOpsTest
2022-11-23T03:26:37.7416800Z [ RUN      ] LazyOpsTest.TestScalarTensor
2022-11-23T03:26:39.2882736Z [       OK ] LazyOpsTest.TestScalarTensor (1547 ms)
2022-11-23T03:26:39.2883453Z [ RUN      ] LazyOpsTest.TestClone
2022-11-23T03:26:39.2905030Z [       OK ] LazyOpsTest.TestClone (1 ms)
2022-11-23T03:26:39.2905621Z [ RUN      ] LazyOpsTest.TestTo
2022-11-23T03:26:39.2906014Z [       OK ] LazyOpsTest.TestTo (0 ms)
2022-11-23T03:26:39.2906439Z [ RUN      ] LazyOpsTest.TestIsFloatingPoint
2022-11-23T03:26:39.2906871Z [       OK ] LazyOpsTest.TestIsFloatingPoint (0 ms)
2022-11-23T03:26:39.2907310Z [ RUN      ] LazyOpsTest.TestIsSigned
2022-11-23T03:26:39.2907718Z [       OK ] LazyOpsTest.TestIsSigned (0 ms)
2022-11-23T03:26:39.2908101Z [ RUN      ] LazyOpsTest.TestCastByte
2022-11-23T03:26:39.2951014Z [       OK ] LazyOpsTest.TestCastByte (4 ms)
2022-11-23T03:26:39.2951474Z [ RUN      ] LazyOpsTest.TestCastChar
2022-11-23T03:26:39.2955884Z [       OK ] LazyOpsTest.TestCastChar (0 ms)
2022-11-23T03:26:39.2956348Z [ RUN      ] LazyOpsTest.TestCastShort
2022-11-23T03:26:39.2962321Z [       OK ] LazyOpsTest.TestCastShort (0 ms)
2022-11-23T03:26:39.2962731Z [ RUN      ] LazyOpsTest.TestCastInt
2022-11-23T03:26:39.2968249Z [       OK ] LazyOpsTest.TestCastInt (0 ms)
2022-11-23T03:26:39.2968684Z [ RUN      ] LazyOpsTest.TestCastLong
2022-11-23T03:26:39.2974116Z [       OK ] LazyOpsTest.TestCastLong (0 ms)
2022-11-23T03:26:39.2974588Z [ RUN      ] LazyOpsTest.TestCastFloat
2022-11-23T03:26:39.2976866Z [       OK ] LazyOpsTest.TestCastFloat (0 ms)
2022-11-23T03:26:39.2977345Z [ RUN      ] LazyOpsTest.TestRetainType
2022-11-23T03:26:39.2979857Z [       OK ] LazyOpsTest.TestRetainType (0 ms)
2022-11-23T03:26:39.2980367Z [ RUN      ] LazyOpsTest.TestLogicalTypeWithInterop
2022-11-23T03:26:39.2991574Z [       OK ] LazyOpsTest.TestLogicalTypeWithInterop (1 ms)
2022-11-23T03:26:39.2992478Z [ RUN      ] LazyOpsTest.TestAdd
2022-11-23T03:26:39.2999190Z [       OK ] LazyOpsTest.TestAdd (0 ms)
2022-11-23T03:26:39.2999641Z [ RUN      ] LazyOpsTest.TestAddHalf
2022-11-23T03:26:39.3005902Z [       OK ] LazyOpsTest.TestAddHalf (0 ms)
2022-11-23T03:26:39.3006391Z [ RUN      ] LazyOpsTest.TestAddMixedPrecision
2022-11-23T03:26:39.3012783Z [       OK ] LazyOpsTest.TestAddMixedPrecision (0 ms)
2022-11-23T03:26:39.3013226Z [ RUN      ] LazyOpsTest.TestAddInPlace
2022-11-23T03:26:39.3025963Z [       OK ] LazyOpsTest.TestAddInPlace (1 ms)
2022-11-23T03:26:39.3026394Z [ RUN      ] LazyOpsTest.TestAddScalar
2022-11-23T03:26:39.3032566Z [       OK ] LazyOpsTest.TestAddScalar (0 ms)
2022-11-23T03:26:39.3033073Z [ RUN      ] LazyOpsTest.TestAddScalarInPlace
2022-11-23T03:26:39.3041571Z [       OK ] LazyOpsTest.TestAddScalarInPlace (0 ms)
2022-11-23T03:26:39.3042046Z [ RUN      ] LazyOpsTest.TestAddZeroSizeDim
2022-11-23T03:26:39.3047223Z [       OK ] LazyOpsTest.TestAddZeroSizeDim (0 ms)
2022-11-23T03:26:39.3047709Z [ RUN      ] LazyOpsTest.TestSub
2022-11-23T03:26:39.3054683Z [       OK ] LazyOpsTest.TestSub (0 ms)
2022-11-23T03:26:39.3055151Z [ RUN      ] LazyOpsTest.TestSubInPlace
2022-11-23T03:26:39.3065671Z [       OK ] LazyOpsTest.TestSubInPlace (0 ms)
2022-11-23T03:26:39.3066115Z [ RUN      ] LazyOpsTest.TestSubScalar
2022-11-23T03:26:39.3071493Z [       OK ] LazyOpsTest.TestSubScalar (0 ms)
2022-11-23T03:26:39.3071997Z [ RUN      ] LazyOpsTest.TestSubScalarInPlace
2022-11-23T03:26:39.3080434Z [       OK ] LazyOpsTest.TestSubScalarInPlace (0 ms)
2022-11-23T03:26:39.3080909Z [ RUN      ] LazyOpsTest.TestMul
2022-11-23T03:26:39.3087297Z [       OK ] LazyOpsTest.TestMul (0 ms)
2022-11-23T03:26:39.3087727Z [ RUN      ] LazyOpsTest.TestMulInPlace
2022-11-23T03:26:39.3096703Z [       OK ] LazyOpsTest.TestMulInPlace (0 ms)
2022-11-23T03:26:39.3097583Z [ RUN      ] LazyOpsTest.TestMulScalar
2022-11-23T03:26:39.3103972Z [       OK ] LazyOpsTest.TestMulScalar (0 ms)
2022-11-23T03:26:39.3104443Z [ RUN      ] LazyOpsTest.TestMulScalarInPlace
2022-11-23T03:26:39.3112987Z [       OK ] LazyOpsTest.TestMulScalarInPlace (0 ms)
2022-11-23T03:26:39.3113466Z [ RUN      ] LazyOpsTest.TestDiv
2022-11-23T03:26:39.3300408Z [       OK ] LazyOpsTest.TestDiv (18 ms)
2022-11-23T03:26:39.3300913Z [ RUN      ] LazyOpsTest.TestDivWithRoundingMode
2022-11-23T03:26:39.3913697Z [       OK ] LazyOpsTest.TestDivWithRoundingMode (61 ms)
2022-11-23T03:26:39.3914186Z [ RUN      ] LazyOpsTest.TestDivInPlace
2022-11-23T03:26:39.3918519Z [       OK ] LazyOpsTest.TestDivInPlace (0 ms)
2022-11-23T03:26:39.3919040Z [ RUN      ] LazyOpsTest.TestDivInPlaceWithRoundingMode
2022-11-23T03:26:39.3942993Z [       OK ] LazyOpsTest.TestDivInPlaceWithRoundingMode (2 ms)
2022-11-23T03:26:39.3943491Z [ RUN      ] LazyOpsTest.TestDivScalar
2022-11-23T03:26:39.4012294Z [       OK ] LazyOpsTest.TestDivScalar (6 ms)
2022-11-23T03:26:39.4012808Z [ RUN      ] LazyOpsTest.TestDivScalarInPlace
2022-11-23T03:26:39.4025554Z [       OK ] LazyOpsTest.TestDivScalarInPlace (1 ms)
2022-11-23T03:26:39.4026036Z [ RUN      ] LazyOpsTest.TestDivOut
2022-11-23T03:26:39.4036305Z [       OK ] LazyOpsTest.TestDivOut (1 ms)
2022-11-23T03:26:39.4036771Z [ RUN      ] LazyOpsTest.TestRsubScalar
2022-11-23T03:26:39.4043651Z [       OK ] LazyOpsTest.TestRsubScalar (0 ms)
2022-11-23T03:26:39.4044115Z [ RUN      ] LazyOpsTest.TestNe
2022-11-23T03:26:39.4049976Z [       OK ] LazyOpsTest.TestNe (0 ms)
2022-11-23T03:26:39.4050436Z [ RUN      ] LazyOpsTest.TestNeInplace
2022-11-23T03:26:39.4060657Z [       OK ] LazyOpsTest.TestNeInplace (1 ms)
2022-11-23T03:26:39.4061449Z [ RUN      ] LazyOpsTest.TestEq
2022-11-23T03:26:39.4066465Z [       OK ] LazyOpsTest.TestEq (0 ms)
2022-11-23T03:26:39.4066878Z [ RUN      ] LazyOpsTest.TestEqInplace
2022-11-23T03:26:39.4076672Z [       OK ] LazyOpsTest.TestEqInplace (0 ms)
2022-11-23T03:26:39.4077107Z [ RUN      ] LazyOpsTest.TestGe
2022-11-23T03:26:39.4082781Z [       OK ] LazyOpsTest.TestGe (0 ms)
2022-11-23T03:26:39.4083169Z [ RUN      ] LazyOpsTest.TestGeInplace
2022-11-23T03:26:39.4092536Z [       OK ] LazyOpsTest.TestGeInplace (0 ms)
2022-11-23T03:26:39.4093182Z [ RUN      ] LazyOpsTest.TestLe
2022-11-23T03:26:39.4098763Z [       OK ] LazyOpsTest.TestLe (0 ms)
2022-11-23T03:26:39.4099225Z [ RUN      ] LazyOpsTest.TestLeInplace
2022-11-23T03:26:39.4107981Z [       OK ] LazyOpsTest.TestLeInplace (0 ms)
2022-11-23T03:26:39.4108630Z [ RUN      ] LazyOpsTest.TestGt
2022-11-23T03:26:39.4114204Z [       OK ] LazyOpsTest.TestGt (0 ms)
2022-11-23T03:26:39.4114752Z [ RUN      ] LazyOpsTest.TestGtInplace
2022-11-23T03:26:39.4124177Z [       OK ] LazyOpsTest.TestGtInplace (0 ms)
2022-11-23T03:26:39.4124533Z [ RUN      ] LazyOpsTest.TestLt
2022-11-23T03:26:39.4130336Z [       OK ] LazyOpsTest.TestLt (0 ms)
2022-11-23T03:26:39.4131186Z [ RUN      ] LazyOpsTest.TestLtInplace
2022-11-23T03:26:39.4140629Z [       OK ] LazyOpsTest.TestLtInplace (0 ms)
2022-11-23T03:26:39.4140996Z [ RUN      ] LazyOpsTest.TestNeScalar
2022-11-23T03:26:39.4146059Z [       OK ] LazyOpsTest.TestNeScalar (0 ms)
2022-11-23T03:26:39.4146505Z [ RUN      ] LazyOpsTest.TestEqScalar
2022-11-23T03:26:39.4151223Z [       OK ] LazyOpsTest.TestEqScalar (0 ms)
2022-11-23T03:26:39.4151670Z [ RUN      ] LazyOpsTest.TestGeScalar
2022-11-23T03:26:39.4158321Z [       OK ] LazyOpsTest.TestGeScalar (0 ms)
2022-11-23T03:26:39.4158844Z [ RUN      ] LazyOpsTest.TestGeScalarInplace
2022-11-23T03:26:39.4167828Z [       OK ] LazyOpsTest.TestGeScalarInplace (0 ms)
2022-11-23T03:26:39.4168307Z [ RUN      ] LazyOpsTest.TestLeScalar
2022-11-23T03:26:39.4172654Z [       OK ] LazyOpsTest.TestLeScalar (0 ms)
2022-11-23T03:26:39.4173158Z [ RUN      ] LazyOpsTest.TestLeScalarInplace
2022-11-23T03:26:39.4181825Z [       OK ] LazyOpsTest.TestLeScalarInplace (0 ms)
2022-11-23T03:26:39.4182273Z [ RUN      ] LazyOpsTest.TestGtScalar
2022-11-23T03:26:39.4186687Z [       OK ] LazyOpsTest.TestGtScalar (0 ms)
2022-11-23T03:26:39.4187182Z [ RUN      ] LazyOpsTest.TestGtScalarInplace
2022-11-23T03:26:39.4195195Z [       OK ] LazyOpsTest.TestGtScalarInplace (0 ms)
2022-11-23T03:26:39.4195643Z [ RUN      ] LazyOpsTest.TestLtScalar
2022-11-23T03:26:39.4200472Z [       OK ] LazyOpsTest.TestLtScalar (0 ms)
2022-11-23T03:26:39.4200969Z [ RUN      ] LazyOpsTest.TestLtScalarInplace
2022-11-23T03:26:39.4208915Z [       OK ] LazyOpsTest.TestLtScalarInplace (0 ms)
2022-11-23T03:26:39.4209362Z [ RUN      ] LazyOpsTest.TestIntegerAdd
2022-11-23T03:26:39.4236755Z [       OK ] LazyOpsTest.TestIntegerAdd (2 ms)
2022-11-23T03:26:39.4237188Z [ RUN      ] LazyOpsTest.TestSVD
2022-11-23T03:26:40.2265860Z [       OK ] LazyOpsTest.TestSVD (802 ms)
2022-11-23T03:26:40.2266459Z [ RUN      ] LazyOpsTest.TestQR
2022-11-23T03:26:40.2266936Z [W BatchLinearAlgebra.cpp:2458] Warning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release.
2022-11-23T03:26:40.2267837Z The boolean parameter 'some' has been replaced with a string parameter 'mode'.
2022-11-23T03:26:40.2268190Z Q, R = torch.qr(A, some)
2022-11-23T03:26:40.2268518Z should be replaced with
2022-11-23T03:26:40.2269212Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (function operator())
2022-11-23T03:26:40.2333763Z [       OK ] LazyOpsTest.TestQR (5 ms)
2022-11-23T03:26:40.2334735Z [ RUN      ] LazyOpsTest.TestSymEig
2022-11-23T03:26:40.2335396Z [W BatchLinearAlgebra.cpp:2909] Warning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2022-11-23T03:26:40.2336603Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2022-11-23T03:26:40.2337077Z L, _ = torch.symeig(A, upper=upper)
2022-11-23T03:26:40.2337351Z should be replaced with
2022-11-23T03:26:40.2337784Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2022-11-23T03:26:40.2338087Z and
2022-11-23T03:26:40.2338339Z L, V = torch.symeig(A, eigenvectors=True)
2022-11-23T03:26:40.2338636Z should be replaced with
2022-11-23T03:26:40.2339081Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (function operator())
2022-11-23T03:26:40.4897923Z [       OK ] LazyOpsTest.TestSymEig (258 ms)
2022-11-23T03:26:40.4898441Z [ RUN      ] LazyOpsTest.TestCholesky
2022-11-23T03:26:40.4898904Z [W BatchLinearAlgebra.cpp:1729] Warning: torch.cholesky is deprecated in favor of torch.linalg.cholesky and will be removed in a future PyTorch release.
2022-11-23T03:26:40.4899434Z L = torch.cholesky(A)
2022-11-23T03:26:40.4900076Z should be replaced with
2022-11-23T03:26:40.4900386Z L = torch.linalg.cholesky(A)
2022-11-23T03:26:40.4900646Z and
2022-11-23T03:26:40.4900881Z U = torch.cholesky(A, upper=True)
2022-11-23T03:26:40.4901172Z should be replaced with
2022-11-23T03:26:40.4901464Z U = torch.linalg.cholesky(A).mH().
2022-11-23T03:26:40.4901885Z This transform will produce equivalent results for all valid (symmetric positive definite) inputs. (function operator())
2022-11-23T03:26:40.4925281Z [       OK ] LazyOpsTest.TestCholesky (2 ms)
2022-11-23T03:26:40.4925654Z [ RUN      ] LazyOpsTest.TestLogDet
2022-11-23T03:26:40.5014646Z [       OK ] LazyOpsTest.TestLogDet (8 ms)
2022-11-23T03:26:40.5015143Z [ RUN      ] LazyOpsTest.TestTriangularSolve
2022-11-23T03:26:40.5015714Z [W BatchLinearAlgebra.cpp:2224] Warning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release.
2022-11-23T03:26:40.5016679Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs.
2022-11-23T03:26:40.5017111Z X = torch.triangular_solve(B, A).solution
2022-11-23T03:26:40.5017400Z should be replaced with
2022-11-23T03:26:40.5017747Z X = torch.linalg.solve_triangular(A, B). (function operator())
2022-11-23T03:26:40.5831388Z [       OK ] LazyOpsTest.TestTriangularSolve (81 ms)
2022-11-23T03:26:40.5831879Z [ RUN      ] LazyOpsTest.TestKthValue
2022-11-23T03:26:40.5970157Z [       OK ] LazyOpsTest.TestKthValue (13 ms)
2022-11-23T03:26:40.5970563Z [ RUN      ] LazyOpsTest.TestTopK
2022-11-23T03:26:40.6383965Z [       OK ] LazyOpsTest.TestTopK (41 ms)
2022-11-23T03:26:40.6384450Z [ RUN      ] LazyOpsTest.TestSort
2022-11-23T03:26:40.6569888Z [       OK ] LazyOpsTest.TestSort (18 ms)
2022-11-23T03:26:40.6570441Z [ RUN      ] LazyOpsTest.TestSortDescWithMinValue
2022-11-23T03:26:40.6582672Z [       OK ] LazyOpsTest.TestSortDescWithMinValue (1 ms)
2022-11-23T03:26:40.6583252Z [ RUN      ] LazyOpsTest.TestArgSort
2022-11-23T03:26:40.6643162Z [       OK ] LazyOpsTest.TestArgSort (5 ms)
2022-11-23T03:26:40.6643641Z [ RUN      ] LazyOpsTest.TestMin
2022-11-23T03:26:40.6650643Z [       OK ] LazyOpsTest.TestMin (0 ms)
2022-11-23T03:26:40.6651002Z [ RUN      ] LazyOpsTest.TestMax
2022-11-23T03:26:40.6658435Z [       OK ] LazyOpsTest.TestMax (0 ms)
2022-11-23T03:26:40.6658762Z [ RUN      ] LazyOpsTest.TestUnaryMin
2022-11-23T03:26:40.6664883Z [       OK ] LazyOpsTest.TestUnaryMin (0 ms)
2022-11-23T03:26:40.6665690Z [ RUN      ] LazyOpsTest.TestUnaryMax
2022-11-23T03:26:40.6671199Z [       OK ] LazyOpsTest.TestUnaryMax (0 ms)
2022-11-23T03:26:40.6671594Z [ RUN      ] LazyOpsTest.TestAll
2022-11-23T03:26:40.6701563Z [       OK ] LazyOpsTest.TestAll (2 ms)
2022-11-23T03:26:40.6702033Z [ RUN      ] LazyOpsTest.TestAllDim
2022-11-23T03:26:40.6714307Z [       OK ] LazyOpsTest.TestAllDim (1 ms)
2022-11-23T03:26:40.6714756Z [ RUN      ] LazyOpsTest.TestAllDimKeep
2022-11-23T03:26:40.6726776Z [       OK ] LazyOpsTest.TestAllDimKeep (1 ms)
2022-11-23T03:26:40.6727160Z [ RUN      ] LazyOpsTest.TestAmax
2022-11-23T03:26:40.6892323Z [       OK ] LazyOpsTest.TestAmax (16 ms)
2022-11-23T03:26:40.6892848Z [ RUN      ] LazyOpsTest.TestAmin
2022-11-23T03:26:40.7054607Z [       OK ] LazyOpsTest.TestAmin (16 ms)
2022-11-23T03:26:40.7055008Z [ RUN      ] LazyOpsTest.TestAny
2022-11-23T03:26:40.7085796Z [       OK ] LazyOpsTest.TestAny (3 ms)
2022-11-23T03:26:40.7086258Z [ RUN      ] LazyOpsTest.TestAnyDim
2022-11-23T03:26:40.7097849Z [       OK ] LazyOpsTest.TestAnyDim (1 ms)
2022-11-23T03:26:40.7098230Z [ RUN      ] LazyOpsTest.TestAnyDimKeep
2022-11-23T03:26:40.7110751Z [       OK ] LazyOpsTest.TestAnyDimKeep (1 ms)
2022-11-23T03:26:40.7111547Z [ RUN      ] LazyOpsTest.TestMean
2022-11-23T03:26:40.7119196Z [       OK ] LazyOpsTest.TestMean (0 ms)
2022-11-23T03:26:40.7119543Z [ RUN      ] LazyOpsTest.TestMeanCast
2022-11-23T03:26:40.7125809Z [       OK ] LazyOpsTest.TestMeanCast (0 ms)
2022-11-23T03:26:40.7126227Z [ RUN      ] LazyOpsTest.TestMeanInDim
2022-11-23T03:26:40.7166490Z [       OK ] LazyOpsTest.TestMeanInDim (3 ms)
2022-11-23T03:26:40.7166972Z [ RUN      ] LazyOpsTest.TestMeanInDims
2022-11-23T03:26:40.7178777Z [       OK ] LazyOpsTest.TestMeanInDims (1 ms)
2022-11-23T03:26:40.7179309Z [ RUN      ] LazyOpsTest.TestMeanInDimsKeepCast
2022-11-23T03:26:40.7193021Z [       OK ] LazyOpsTest.TestMeanInDimsKeepCast (1 ms)
2022-11-23T03:26:40.7193445Z [ RUN      ] LazyOpsTest.TestMeanInDimOut
2022-11-23T03:26:40.7233592Z [       OK ] LazyOpsTest.TestMeanInDimOut (3 ms)
2022-11-23T03:26:40.7234069Z [ RUN      ] LazyOpsTest.TestStd
2022-11-23T03:26:40.7245506Z [       OK ] LazyOpsTest.TestStd (1 ms)
2022-11-23T03:26:40.7245938Z [ RUN      ] LazyOpsTest.TestStdInDim
2022-11-23T03:26:40.7400781Z [       OK ] LazyOpsTest.TestStdInDim (15 ms)
2022-11-23T03:26:40.7401249Z [ RUN      ] LazyOpsTest.TestStdWithCorrection
2022-11-23T03:26:40.7477961Z [       OK ] LazyOpsTest.TestStdWithCorrection (7 ms)
2022-11-23T03:26:40.7478477Z [ RUN      ] LazyOpsTest.TestStdMeanWithCorrection
2022-11-23T03:26:40.7531907Z [       OK ] LazyOpsTest.TestStdMeanWithCorrection (5 ms)
2022-11-23T03:26:40.7532400Z [ RUN      ] LazyOpsTest.TestSum
2022-11-23T03:26:40.7539316Z [       OK ] LazyOpsTest.TestSum (0 ms)
2022-11-23T03:26:40.7539707Z [ RUN      ] LazyOpsTest.TestSumCast
2022-11-23T03:26:40.7545469Z [       OK ] LazyOpsTest.TestSumCast (0 ms)
2022-11-23T03:26:40.7545876Z [ RUN      ] LazyOpsTest.TestSumU8
2022-11-23T03:26:40.7551134Z [       OK ] LazyOpsTest.TestSumU8 (0 ms)
2022-11-23T03:26:40.7551554Z [ RUN      ] LazyOpsTest.TestSumInDim
2022-11-23T03:26:40.7591308Z [       OK ] LazyOpsTest.TestSumInDim (3 ms)
2022-11-23T03:26:40.7591724Z [ RUN      ] LazyOpsTest.TestSumInDims
2022-11-23T03:26:40.7603061Z [       OK ] LazyOpsTest.TestSumInDims (1 ms)
2022-11-23T03:26:40.7603499Z [ RUN      ] LazyOpsTest.TestSumInDimsKeep
2022-11-23T03:26:40.7615707Z [       OK ] LazyOpsTest.TestSumInDimsKeep (1 ms)
2022-11-23T03:26:40.7616974Z [ RUN      ] LazyOpsTest.TestSumInDimsKeepCast
2022-11-23T03:26:40.7629622Z [       OK ] LazyOpsTest.TestSumInDimsKeepCast (1 ms)
2022-11-23T03:26:40.7630029Z [ RUN      ] LazyOpsTest.TestVar
2022-11-23T03:26:40.7636311Z [       OK ] LazyOpsTest.TestVar (0 ms)
2022-11-23T03:26:40.7636687Z [ RUN      ] LazyOpsTest.TestVarWithDim
2022-11-23T03:26:40.7662369Z [       OK ] LazyOpsTest.TestVarWithDim (2 ms)
2022-11-23T03:26:40.7662837Z [ RUN      ] LazyOpsTest.TestVarWithCorrection
2022-11-23T03:26:40.7697382Z [       OK ] LazyOpsTest.TestVarWithCorrection (3 ms)
2022-11-23T03:26:40.7697977Z [ RUN      ] LazyOpsTest.TestVarMeanWithCorrection
2022-11-23T03:26:40.7750301Z [       OK ] LazyOpsTest.TestVarMeanWithCorrection (5 ms)
2022-11-23T03:26:40.7750767Z [ RUN      ] LazyOpsTest.TestMaxInDim
2022-11-23T03:26:40.7880998Z [       OK ] LazyOpsTest.TestMaxInDim (13 ms)
2022-11-23T03:26:40.7881485Z [ RUN      ] LazyOpsTest.TestMinInDim
2022-11-23T03:26:40.7928428Z [       OK ] LazyOpsTest.TestMinInDim (4 ms)
2022-11-23T03:26:40.7928875Z [ RUN      ] LazyOpsTest.TestNorm
2022-11-23T03:26:40.7937188Z [       OK ] LazyOpsTest.TestNorm (1 ms)
2022-11-23T03:26:40.7937665Z [ RUN      ] LazyOpsTest.TestNormInDim
2022-11-23T03:26:40.7951177Z [       OK ] LazyOpsTest.TestNormInDim (1 ms)
2022-11-23T03:26:40.7951570Z [ RUN      ] LazyOpsTest.TestNormInDims
2022-11-23T03:26:40.7963996Z [       OK ] LazyOpsTest.TestNormInDims (1 ms)
2022-11-23T03:26:40.7964473Z [ RUN      ] LazyOpsTest.TestNormInDimsKeep
2022-11-23T03:26:40.7977107Z [       OK ] LazyOpsTest.TestNormInDimsKeep (1 ms)
2022-11-23T03:26:40.7977593Z [ RUN      ] LazyOpsTest.TestNormalTwoTensor
2022-11-23T03:26:40.7991232Z [       OK ] LazyOpsTest.TestNormalTwoTensor (1 ms)
2022-11-23T03:26:40.7991744Z [ RUN      ] LazyOpsTest.TestNormalDoubleMean
2022-11-23T03:26:40.8004477Z [       OK ] LazyOpsTest.TestNormalDoubleMean (1 ms)
2022-11-23T03:26:40.8004965Z [ RUN      ] LazyOpsTest.TestNormalDoubleStd
2022-11-23T03:26:40.8009142Z [       OK ] LazyOpsTest.TestNormalDoubleStd (0 ms)
2022-11-23T03:26:40.8009615Z [ RUN      ] LazyOpsTest.TestNormalInPlace
2022-11-23T03:26:40.8015976Z [       OK ] LazyOpsTest.TestNormalInPlace (0 ms)
2022-11-23T03:26:40.8016893Z [ RUN      ] LazyOpsTest.TestUniformInPlace
2022-11-23T03:26:40.8021612Z [       OK ] LazyOpsTest.TestUniformInPlace (0 ms)
2022-11-23T03:26:40.8022108Z [ RUN      ] LazyOpsTest.TestRandomInPlace
2022-11-23T03:26:40.8132363Z [       OK ] LazyOpsTest.TestRandomInPlace (10 ms)
2022-11-23T03:26:40.8132942Z [ RUN      ] LazyOpsTest.TestRandomInPlaceDefaultFrom
2022-11-23T03:26:40.8238797Z [       OK ] LazyOpsTest.TestRandomInPlaceDefaultFrom (10 ms)
2022-11-23T03:26:40.8239337Z [ RUN      ] LazyOpsTest.TestRandomInPlaceDefault
2022-11-23T03:26:40.8268878Z [       OK ] LazyOpsTest.TestRandomInPlaceDefault (3 ms)
2022-11-23T03:26:40.8269358Z [ RUN      ] LazyOpsTest.TestNormGeneral
2022-11-23T03:26:40.8274646Z [       OK ] LazyOpsTest.TestNormGeneral (0 ms)
2022-11-23T03:26:40.8275121Z [ RUN      ] LazyOpsTest.TestNormNuclear
2022-11-23T03:26:40.8282652Z [       OK ] LazyOpsTest.TestNormNuclear (0 ms)
2022-11-23T03:26:40.8283122Z [ RUN      ] LazyOpsTest.TestFrobeniusNorm
2022-11-23T03:26:40.8286772Z [       OK ] LazyOpsTest.TestFrobeniusNorm (0 ms)
2022-11-23T03:26:40.8287238Z [ RUN      ] LazyOpsTest.TestFrobeniusNormInDim
2022-11-23T03:26:40.8302769Z [       OK ] LazyOpsTest.TestFrobeniusNormInDim (1 ms)
2022-11-23T03:26:40.8303268Z [ RUN      ] LazyOpsTest.TestFrobeniusNormInDims
2022-11-23T03:26:40.8325441Z [       OK ] LazyOpsTest.TestFrobeniusNormInDims (2 ms)
2022-11-23T03:26:40.8326244Z [ RUN      ] LazyOpsTest.TestGroupNorm
2022-11-23T03:26:40.8390388Z [       OK ] LazyOpsTest.TestGroupNorm (6 ms)
2022-11-23T03:26:40.8390830Z [ RUN      ] LazyOpsTest.TestGroupNormBackward
2022-11-23T03:26:40.9383588Z [       OK ] LazyOpsTest.TestGroupNormBackward (99 ms)
2022-11-23T03:26:40.9384066Z [ RUN      ] LazyOpsTest.TestInstanceNorm
2022-11-23T03:26:40.9435347Z [       OK ] LazyOpsTest.TestInstanceNorm (5 ms)
2022-11-23T03:26:40.9435794Z [ RUN      ] LazyOpsTest.TestLayerNorm
2022-11-23T03:26:40.9494850Z [       OK ] LazyOpsTest.TestLayerNorm (5 ms)
2022-11-23T03:26:40.9495309Z [ RUN      ] LazyOpsTest.TestLayerNormBackward
2022-11-23T03:26:41.0030881Z [       OK ] LazyOpsTest.TestLayerNormBackward (53 ms)
2022-11-23T03:26:41.0031386Z [ RUN      ] LazyOpsTest.TestNuclearNorm
2022-11-23T03:26:41.0057048Z [       OK ] LazyOpsTest.TestNuclearNorm (2 ms)
2022-11-23T03:26:41.0057600Z [ RUN      ] LazyOpsTest.TestPairwiseDistance
2022-11-23T03:26:41.4737893Z [       OK ] LazyOpsTest.TestPairwiseDistance (467 ms)
2022-11-23T03:26:41.4738417Z [ RUN      ] LazyOpsTest.TestCosineSimilarity
2022-11-23T03:26:41.4835269Z [       OK ] LazyOpsTest.TestCosineSimilarity (9 ms)
2022-11-23T03:26:41.4836180Z [ RUN      ] LazyOpsTest.TestCosineEmbeddingLoss
2022-11-23T03:26:42.3717088Z [       OK ] LazyOpsTest.TestCosineEmbeddingLoss (888 ms)
2022-11-23T03:26:42.3717678Z [ RUN      ] LazyOpsTest.TestHingeEmbeddingLoss
2022-11-23T03:26:42.3813568Z [       OK ] LazyOpsTest.TestHingeEmbeddingLoss (9 ms)
2022-11-23T03:26:42.3814083Z [ RUN      ] LazyOpsTest.TestTripletMarginLoss
2022-11-23T03:26:43.3634678Z [       OK ] LazyOpsTest.TestTripletMarginLoss (982 ms)
2022-11-23T03:26:43.3635302Z [ RUN      ] LazyOpsTest.TestBinaryCrossEntropy
2022-11-23T03:26:43.3678905Z [       OK ] LazyOpsTest.TestBinaryCrossEntropy (4 ms)
2022-11-23T03:26:43.3679455Z [ RUN      ] LazyOpsTest.TestMarginRankingLoss
2022-11-23T03:26:43.6668092Z [       OK ] LazyOpsTest.TestMarginRankingLoss (298 ms)
2022-11-23T03:26:43.6668647Z [ RUN      ] LazyOpsTest.TestBCEWithLogits
2022-11-23T03:26:43.6705241Z [       OK ] LazyOpsTest.TestBCEWithLogits (3 ms)
2022-11-23T03:26:43.6705803Z [ RUN      ] LazyOpsTest.TestKlDiv
2022-11-23T03:26:43.6753295Z [       OK ] LazyOpsTest.TestKlDiv (4 ms)
2022-11-23T03:26:43.6753748Z [ RUN      ] LazyOpsTest.TestProd
2022-11-23T03:26:43.6754598Z [       OK ] LazyOpsTest.TestProd (0 ms)
2022-11-23T03:26:43.6755043Z [ RUN      ] LazyOpsTest.TestProdCast
2022-11-23T03:26:43.6774338Z [       OK ] LazyOpsTest.TestProdCast (1 ms)
2022-11-23T03:26:43.6774782Z [ RUN      ] LazyOpsTest.TestProdInDim
2022-11-23T03:26:43.6810010Z [       OK ] LazyOpsTest.TestProdInDim (3 ms)
2022-11-23T03:26:43.6810506Z [ RUN      ] LazyOpsTest.TestProdInDimKeepCast
2022-11-23T03:26:43.6846228Z [       OK ] LazyOpsTest.TestProdInDimKeepCast (3 ms)
2022-11-23T03:26:43.6846719Z [ RUN      ] LazyOpsTest.TestProdInDimKeep
2022-11-23T03:26:43.6862715Z [       OK ] LazyOpsTest.TestProdInDimKeep (1 ms)
2022-11-23T03:26:43.6863136Z [ RUN      ] LazyOpsTest.TestCumSum
2022-11-23T03:26:43.6900768Z [       OK ] LazyOpsTest.TestCumSum (3 ms)
2022-11-23T03:26:43.6901193Z [ RUN      ] LazyOpsTest.TestCumSumCast
2022-11-23T03:26:43.6935054Z [       OK ] LazyOpsTest.TestCumSumCast (3 ms)
2022-11-23T03:26:43.6935561Z [ RUN      ] LazyOpsTest.TestCumSumLong
2022-11-23T03:26:43.6964527Z [       OK ] LazyOpsTest.TestCumSumLong (2 ms)
2022-11-23T03:26:43.6964998Z [ RUN      ] LazyOpsTest.TestCumSumCastLong
2022-11-23T03:26:43.6994618Z [       OK ] LazyOpsTest.TestCumSumCastLong (2 ms)
2022-11-23T03:26:43.6995565Z [ RUN      ] LazyOpsTest.TestCumProd
2022-11-23T03:26:43.7010924Z [       OK ] LazyOpsTest.TestCumProd (1 ms)
2022-11-23T03:26:43.7011376Z [ RUN      ] LazyOpsTest.TestCumProdCast
2022-11-23T03:26:43.7029281Z [       OK ] LazyOpsTest.TestCumProdCast (1 ms)
2022-11-23T03:26:43.7029783Z [ RUN      ] LazyOpsTest.TestCumProdLong
2022-11-23T03:26:43.7051277Z [       OK ] LazyOpsTest.TestCumProdLong (2 ms)
2022-11-23T03:26:43.7051750Z [ RUN      ] LazyOpsTest.TestCumProdCastLong
2022-11-23T03:26:43.7072251Z [       OK ] LazyOpsTest.TestCumProdCastLong (2 ms)
2022-11-23T03:26:43.7072946Z [ RUN      ] LazyOpsTest.TestArgMin
2022-11-23T03:26:43.7073826Z [       OK ] LazyOpsTest.TestArgMin (0 ms)
2022-11-23T03:26:43.7074395Z [ RUN      ] LazyOpsTest.TestArgMinDim
2022-11-23T03:26:43.7078982Z [       OK ] LazyOpsTest.TestArgMinDim (0 ms)
2022-11-23T03:26:43.7079502Z [ RUN      ] LazyOpsTest.TestArgMinDimKeep
2022-11-23T03:26:43.7083446Z [       OK ] LazyOpsTest.TestArgMinDimKeep (0 ms)
2022-11-23T03:26:43.7084152Z [ RUN      ] LazyOpsTest.TestArgMinSameValue
2022-11-23T03:26:43.7086464Z [       OK ] LazyOpsTest.TestArgMinSameValue (0 ms)
2022-11-23T03:26:43.7086941Z [ RUN      ] LazyOpsTest.TestArgMinWrapper
2022-11-23T03:26:43.7091233Z [       OK ] LazyOpsTest.TestArgMinWrapper (0 ms)
2022-11-23T03:26:43.7091940Z [ RUN      ] LazyOpsTest.TestArgMax
2022-11-23T03:26:43.7094034Z [       OK ] LazyOpsTest.TestArgMax (0 ms)
2022-11-23T03:26:43.7094466Z [ RUN      ] LazyOpsTest.TestArgMaxDim
2022-11-23T03:26:43.7098762Z [       OK ] LazyOpsTest.TestArgMaxDim (0 ms)
2022-11-23T03:26:43.7099225Z [ RUN      ] LazyOpsTest.TestArgMaxDimKeep
2022-11-23T03:26:43.7103567Z [       OK ] LazyOpsTest.TestArgMaxDimKeep (0 ms)
2022-11-23T03:26:43.7104292Z [ RUN      ] LazyOpsTest.TestArgMaxSameValue
2022-11-23T03:26:43.7106323Z [       OK ] LazyOpsTest.TestArgMaxSameValue (0 ms)
2022-11-23T03:26:43.7106807Z [ RUN      ] LazyOpsTest.TestArgMaxWrapper
2022-11-23T03:26:43.7110758Z [       OK ] LazyOpsTest.TestArgMaxWrapper (0 ms)
2022-11-23T03:26:43.7111183Z [ RUN      ] LazyOpsTest.TestAsin
2022-11-23T03:26:43.7115176Z [       OK ] LazyOpsTest.TestAsin (0 ms)
2022-11-23T03:26:43.7115586Z [ RUN      ] LazyOpsTest.TestAsinh
2022-11-23T03:26:43.7118937Z [       OK ] LazyOpsTest.TestAsinh (0 ms)
2022-11-23T03:26:43.7119326Z [ RUN      ] LazyOpsTest.TestAsinhInPlace
2022-11-23T03:26:43.7123548Z [       OK ] LazyOpsTest.TestAsinhInPlace (0 ms)
2022-11-23T03:26:43.7123958Z [ RUN      ] LazyOpsTest.TestSin
2022-11-23T03:26:43.7127338Z [       OK ] LazyOpsTest.TestSin (0 ms)
2022-11-23T03:26:43.7127700Z [ RUN      ] LazyOpsTest.TestSinh
2022-11-23T03:26:43.7130739Z [       OK ] LazyOpsTest.TestSinh (0 ms)
2022-11-23T03:26:43.7131125Z [ RUN      ] LazyOpsTest.TestAcos
2022-11-23T03:26:43.7134363Z [       OK ] LazyOpsTest.TestAcos (0 ms)
2022-11-23T03:26:43.7134779Z [ RUN      ] LazyOpsTest.TestAcosh
2022-11-23T03:26:43.7139065Z [       OK ] LazyOpsTest.TestAcosh (0 ms)
2022-11-23T03:26:43.7139492Z [ RUN      ] LazyOpsTest.TestAcoshInPlace
2022-11-23T03:26:43.7143792Z [       OK ] LazyOpsTest.TestAcoshInPlace (0 ms)
2022-11-23T03:26:43.7144235Z [ RUN      ] LazyOpsTest.TestCos
2022-11-23T03:26:43.7152083Z [       OK ] LazyOpsTest.TestCos (0 ms)
2022-11-23T03:26:43.7152492Z [ RUN      ] LazyOpsTest.TestCosh
2022-11-23T03:26:43.7155905Z [       OK ] LazyOpsTest.TestCosh (0 ms)
2022-11-23T03:26:43.7156350Z [ RUN      ] LazyOpsTest.TestAtan
2022-11-23T03:26:43.7159157Z [       OK ] LazyOpsTest.TestAtan (0 ms)
2022-11-23T03:26:43.7159555Z [ RUN      ] LazyOpsTest.TestAtanh
2022-11-23T03:26:43.7162333Z [       OK ] LazyOpsTest.TestAtanh (0 ms)
2022-11-23T03:26:43.7162760Z [ RUN      ] LazyOpsTest.TestAtanhInPlace
2022-11-23T03:26:43.7166955Z [       OK ] LazyOpsTest.TestAtanhInPlace (0 ms)
2022-11-23T03:26:43.7167359Z [ RUN      ] LazyOpsTest.TestAtan2
2022-11-23T03:26:43.7171446Z [       OK ] LazyOpsTest.TestAtan2 (0 ms)
2022-11-23T03:26:43.7171831Z [ RUN      ] LazyOpsTest.TestTan
2022-11-23T03:26:43.7174583Z [       OK ] LazyOpsTest.TestTan (0 ms)
2022-11-23T03:26:43.7174970Z [ RUN      ] LazyOpsTest.TestTanh
2022-11-23T03:26:43.7182616Z [       OK ] LazyOpsTest.TestTanh (0 ms)
2022-11-23T03:26:43.7183013Z [ RUN      ] LazyOpsTest.TestClampMinMax
2022-11-23T03:26:43.7189641Z [       OK ] LazyOpsTest.TestClampMinMax (0 ms)
2022-11-23T03:26:43.7190028Z [ RUN      ] LazyOpsTest.TestClampMin
2022-11-23T03:26:43.7195886Z [       OK ] LazyOpsTest.TestClampMin (0 ms)
2022-11-23T03:26:43.7196287Z [ RUN      ] LazyOpsTest.TestClampMax
2022-11-23T03:26:43.7201606Z [       OK ] LazyOpsTest.TestClampMax (0 ms)
2022-11-23T03:26:43.7202080Z [ RUN      ] LazyOpsTest.TestClampMinExplicit
2022-11-23T03:26:43.7207578Z [       OK ] LazyOpsTest.TestClampMinExplicit (0 ms)
2022-11-23T03:26:43.7208345Z [ RUN      ] LazyOpsTest.TestClampMaxExplicit
2022-11-23T03:26:43.7211168Z [       OK ] LazyOpsTest.TestClampMaxExplicit (0 ms)
2022-11-23T03:26:43.7211687Z [ RUN      ] LazyOpsTest.TestClampMinExplicitInPlace
2022-11-23T03:26:43.7219340Z [       OK ] LazyOpsTest.TestClampMinExplicitInPlace (0 ms)
2022-11-23T03:26:43.7219875Z [ RUN      ] LazyOpsTest.TestClampMaxExplicitInPlace
2022-11-23T03:26:43.7224193Z [       OK ] LazyOpsTest.TestClampMaxExplicitInPlace (0 ms)
2022-11-23T03:26:43.7224635Z [ RUN      ] LazyOpsTest.TestCeil
2022-11-23T03:26:43.7228050Z [       OK ] LazyOpsTest.TestCeil (0 ms)
2022-11-23T03:26:43.7228497Z [ RUN      ] LazyOpsTest.TestFloor
2022-11-23T03:26:43.7235001Z [       OK ] LazyOpsTest.TestFloor (0 ms)
2022-11-23T03:26:43.7235411Z [ RUN      ] LazyOpsTest.TestRound
2022-11-23T03:26:43.7240154Z [       OK ] LazyOpsTest.TestRound (0 ms)
2022-11-23T03:26:43.7240611Z [ RUN      ] LazyOpsTest.TestTrunc
2022-11-23T03:26:43.7246354Z [       OK ] LazyOpsTest.TestTrunc (0 ms)
2022-11-23T03:26:43.7246809Z [ RUN      ] LazyOpsTest.TestFrac
2022-11-23T03:26:43.7252476Z [       OK ] LazyOpsTest.TestFrac (0 ms)
2022-11-23T03:26:43.7252921Z [ RUN      ] LazyOpsTest.TestNeg
2022-11-23T03:26:43.7257870Z [       OK ] LazyOpsTest.TestNeg (0 ms)
2022-11-23T03:26:43.7258330Z [ RUN      ] LazyOpsTest.TestBitwiseNot
2022-11-23T03:26:43.7267740Z [       OK ] LazyOpsTest.TestBitwiseNot (0 ms)
2022-11-23T03:26:43.7268200Z [ RUN      ] LazyOpsTest.TestBitwiseNotInPlace
2022-11-23T03:26:43.7276482Z [       OK ] LazyOpsTest.TestBitwiseNotInPlace (0 ms)
2022-11-23T03:26:43.7276924Z [ RUN      ] LazyOpsTest.TestSign
2022-11-23T03:26:43.7280489Z [       OK ] LazyOpsTest.TestSign (0 ms)
2022-11-23T03:26:43.7280964Z [ RUN      ] LazyOpsTest.TestSignByte
2022-11-23T03:26:43.7284053Z [       OK ] LazyOpsTest.TestSignByte (0 ms)
2022-11-23T03:26:43.7284472Z [ RUN      ] LazyOpsTest.TestAbs
2022-11-23T03:26:43.7290946Z [       OK ] LazyOpsTest.TestAbs (0 ms)
2022-11-23T03:26:43.7291376Z [ RUN      ] LazyOpsTest.TestAbsByte
2022-11-23T03:26:43.7296708Z [       OK ] LazyOpsTest.TestAbsByte (0 ms)
2022-11-23T03:26:43.7297703Z [ RUN      ] LazyOpsTest.TestEmptyLike
2022-11-23T03:26:43.7298134Z [       OK ] LazyOpsTest.TestEmptyLike (0 ms)
2022-11-23T03:26:43.7298721Z [ RUN      ] LazyOpsTest.TestEmptyLikeOptions
2022-11-23T03:26:43.7299745Z [       OK ] LazyOpsTest.TestEmptyLikeOptions (0 ms)
2022-11-23T03:26:43.7300169Z [ RUN      ] LazyOpsTest.TestEmpty
2022-11-23T03:26:43.7300576Z [       OK ] LazyOpsTest.TestEmpty (0 ms)
2022-11-23T03:26:43.7300975Z [ RUN      ] LazyOpsTest.TestZeroInPlace
2022-11-23T03:26:43.7306622Z [       OK ] LazyOpsTest.TestZeroInPlace (0 ms)
2022-11-23T03:26:43.7307057Z [ RUN      ] LazyOpsTest.TestZerosLike
2022-11-23T03:26:43.7309790Z [       OK ] LazyOpsTest.TestZerosLike (0 ms)
2022-11-23T03:26:43.7310252Z [ RUN      ] LazyOpsTest.TestZerosLikeOptions
2022-11-23T03:26:43.7312591Z [       OK ] LazyOpsTest.TestZerosLikeOptions (0 ms)
2022-11-23T03:26:43.7313049Z [ RUN      ] LazyOpsTest.TestZeros
2022-11-23T03:26:43.7319189Z [       OK ] LazyOpsTest.TestZeros (0 ms)
2022-11-23T03:26:43.7319606Z [ RUN      ] LazyOpsTest.TestOnes
2022-11-23T03:26:43.7326565Z [       OK ] LazyOpsTest.TestOnes (0 ms)
2022-11-23T03:26:43.7327001Z [ RUN      ] LazyOpsTest.TestOnesLike
2022-11-23T03:26:43.7329754Z [       OK ] LazyOpsTest.TestOnesLike (0 ms)
2022-11-23T03:26:43.7330208Z [ RUN      ] LazyOpsTest.TestOnesLikeOptions
2022-11-23T03:26:43.7333007Z [       OK ] LazyOpsTest.TestOnesLikeOptions (0 ms)
2022-11-23T03:26:43.7333772Z [ RUN      ] LazyOpsTest.TestFull
2022-11-23T03:26:43.7343120Z [       OK ] LazyOpsTest.TestFull (0 ms)
2022-11-23T03:26:43.7343522Z [ RUN      ] LazyOpsTest.TestFullLike
2022-11-23T03:26:43.7346067Z [       OK ] LazyOpsTest.TestFullLike (0 ms)
2022-11-23T03:26:43.7346530Z [ RUN      ] LazyOpsTest.TestFullLikeOptions
2022-11-23T03:26:43.7349054Z [       OK ] LazyOpsTest.TestFullLikeOptions (0 ms)
2022-11-23T03:26:43.7349490Z [ RUN      ] LazyOpsTest.TestARange
2022-11-23T03:26:43.7363400Z [       OK ] LazyOpsTest.TestARange (1 ms)
2022-11-23T03:26:43.7363865Z [ RUN      ] LazyOpsTest.TestARangeOut
2022-11-23T03:26:43.7364509Z [W RangeFactories.cu:270] Warning: The number of elements in the out tensor of shape [4] is 4 which does not match the computed number of elements 200. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (200,). (function operator())
2022-11-23T03:26:43.7371239Z [       OK ] LazyOpsTest.TestARangeOut (0 ms)
2022-11-23T03:26:43.7371694Z [ RUN      ] LazyOpsTest.TestDimARange
2022-11-23T03:26:43.7380682Z [       OK ] LazyOpsTest.TestDimARange (0 ms)
2022-11-23T03:26:43.7381148Z [ RUN      ] LazyOpsTest.TestBartlettWindow
2022-11-23T03:26:43.7436557Z [       OK ] LazyOpsTest.TestBartlettWindow (5 ms)
2022-11-23T03:26:43.7437025Z [ RUN      ] LazyOpsTest.TestBlackmanWindow
2022-11-23T03:26:43.7481208Z [       OK ] LazyOpsTest.TestBlackmanWindow (4 ms)
2022-11-23T03:26:43.7481734Z [ RUN      ] LazyOpsTest.TestHammingWindow
2022-11-23T03:26:43.7512374Z [       OK ] LazyOpsTest.TestHammingWindow (3 ms)
2022-11-23T03:26:43.7512838Z [ RUN      ] LazyOpsTest.TestHannWindow
2022-11-23T03:26:44.3239383Z [       OK ] LazyOpsTest.TestHannWindow (572 ms)
2022-11-23T03:26:44.3239858Z [ RUN      ] LazyOpsTest.TestLogSigmoid
2022-11-23T03:26:44.3245418Z [       OK ] LazyOpsTest.TestLogSigmoid (0 ms)
2022-11-23T03:26:44.3245854Z [ RUN      ] LazyOpsTest.TestLogSigmoidForward
2022-11-23T03:26:44.3256119Z [       OK ] LazyOpsTest.TestLogSigmoidForward (1 ms)
2022-11-23T03:26:44.3256997Z [ RUN      ] LazyOpsTest.TestLogsumexp
2022-11-23T03:26:44.3339048Z [       OK ] LazyOpsTest.TestLogsumexp (7 ms)
2022-11-23T03:26:44.3339564Z [ RUN      ] LazyOpsTest.TestSiLU
2022-11-23T03:26:44.3343793Z [       OK ] LazyOpsTest.TestSiLU (0 ms)
2022-11-23T03:26:44.3344210Z [ RUN      ] LazyOpsTest.TestSigmoid
2022-11-23T03:26:44.3350470Z [       OK ] LazyOpsTest.TestSigmoid (0 ms)
2022-11-23T03:26:44.3350904Z [ RUN      ] LazyOpsTest.TestMatmul_1x1
2022-11-23T03:26:44.3356082Z [       OK ] LazyOpsTest.TestMatmul_1x1 (0 ms)
2022-11-23T03:26:44.3356503Z [ RUN      ] LazyOpsTest.TestMatmul_2x1
2022-11-23T03:26:44.3366425Z [       OK ] LazyOpsTest.TestMatmul_2x1 (0 ms)
2022-11-23T03:26:44.3366852Z [ RUN      ] LazyOpsTest.TestMatmul_1x2
2022-11-23T03:26:44.3377780Z [       OK ] LazyOpsTest.TestMatmul_1x2 (1 ms)
2022-11-23T03:26:44.3378221Z [ RUN      ] LazyOpsTest.TestMatmul_2x2
2022-11-23T03:26:44.3384634Z [       OK ] LazyOpsTest.TestMatmul_2x2 (0 ms)
2022-11-23T03:26:44.3385070Z [ RUN      ] LazyOpsTest.TestMatmulBcast
2022-11-23T03:26:44.3400830Z [       OK ] LazyOpsTest.TestMatmulBcast (1 ms)
2022-11-23T03:26:44.3401243Z [ RUN      ] LazyOpsTest.TestDot
2022-11-23T03:26:44.3404368Z [       OK ] LazyOpsTest.TestDot (0 ms)
2022-11-23T03:26:44.3404779Z [ RUN      ] LazyOpsTest.TestTensorDot
2022-11-23T03:26:44.3418927Z [       OK ] LazyOpsTest.TestTensorDot (1 ms)
2022-11-23T03:26:44.3419333Z [ RUN      ] LazyOpsTest.TestGer
2022-11-23T03:26:44.3427822Z [       OK ] LazyOpsTest.TestGer (0 ms)
2022-11-23T03:26:44.3428582Z [ RUN      ] LazyOpsTest.TestMv
2022-11-23T03:26:44.3435231Z [       OK ] LazyOpsTest.TestMv (0 ms)
2022-11-23T03:26:44.3435607Z [ RUN      ] LazyOpsTest.TestMvOut
2022-11-23T03:26:44.3444062Z [       OK ] LazyOpsTest.TestMvOut (0 ms)
2022-11-23T03:26:44.3444539Z [ RUN      ] LazyOpsTest.TestBatchAddBatchMatMul
2022-11-23T03:26:44.3452881Z [       OK ] LazyOpsTest.TestBatchAddBatchMatMul (0 ms)
2022-11-23T03:26:44.3453413Z [ RUN      ] LazyOpsTest.TestBatchAddBatchMatMulInPlace
2022-11-23T03:26:44.3463486Z [       OK ] LazyOpsTest.TestBatchAddBatchMatMulInPlace (1 ms)
2022-11-23T03:26:44.3464037Z [ RUN      ] LazyOpsTest.TestBatchMatMul
2022-11-23T03:26:44.3470169Z [       OK ] LazyOpsTest.TestBatchMatMul (0 ms)
2022-11-23T03:26:44.3470613Z [ RUN      ] LazyOpsTest.TestChainMatMul
2022-11-23T03:26:44.3471614Z [W LinearAlgebra.cpp:1076] Warning: torch.chain_matmul is deprecated and will be removed in a future PyTorch release. Use torch.linalg.multi_dot instead, which accepts a list of two or more tensors rather than multiple parameters. (function operator())
2022-11-23T03:26:44.3483173Z [       OK ] LazyOpsTest.TestChainMatMul (1 ms)
2022-11-23T03:26:44.3483630Z [ RUN      ] LazyOpsTest.TestLinear
2022-11-23T03:26:44.3504370Z [       OK ] LazyOpsTest.TestLinear (2 ms)
2022-11-23T03:26:44.3504800Z [ RUN      ] LazyOpsTest.TestPinverse
2022-11-23T03:26:44.3556303Z [       OK ] LazyOpsTest.TestPinverse (4 ms)
2022-11-23T03:26:44.3556708Z [ RUN      ] LazyOpsTest.TestEinsumOuter
2022-11-23T03:26:44.3567105Z [       OK ] LazyOpsTest.TestEinsumOuter (1 ms)
2022-11-23T03:26:44.3567574Z [ RUN      ] LazyOpsTest.TestEinsumOuterBackward
2022-11-23T03:26:44.3618428Z [       OK ] LazyOpsTest.TestEinsumOuterBackward (4 ms)
2022-11-23T03:26:44.3618875Z [ RUN      ] LazyOpsTest.TestEinsumBatchMatMul
2022-11-23T03:26:44.3640510Z [       OK ] LazyOpsTest.TestEinsumBatchMatMul (2 ms)
2022-11-23T03:26:44.3640968Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerBilinear
2022-11-23T03:26:44.3676957Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerBilinear (3 ms)
2022-11-23T03:26:44.3677480Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerDiagonal
2022-11-23T03:26:44.3687355Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerDiagonal (1 ms)
2022-11-23T03:26:44.3687848Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerBatchDiagonal
2022-11-23T03:26:44.3698586Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerBatchDiagonal (1 ms)
2022-11-23T03:26:44.3699535Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerBatchPermute
2022-11-23T03:26:44.3705934Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerBatchPermute (0 ms)
2022-11-23T03:26:44.3706479Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerRepeatedAxis
2022-11-23T03:26:44.3727348Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerRepeatedAxis (1 ms)
2022-11-23T03:26:44.3727795Z [ RUN      ] LazyOpsTest.TestBilinear
2022-11-23T03:26:44.3993876Z [       OK ] LazyOpsTest.TestBilinear (26 ms)
2022-11-23T03:26:44.3994280Z [ RUN      ] LazyOpsTest.TestUpsampleNearest2D
2022-11-23T03:26:44.4002632Z [       OK ] LazyOpsTest.TestUpsampleNearest2D (1 ms)
2022-11-23T03:26:44.4003114Z [ RUN      ] LazyOpsTest.TestUpsampleNearest2DBackward
2022-11-23T03:26:44.4031887Z [       OK ] LazyOpsTest.TestUpsampleNearest2DBackward (2 ms)
2022-11-23T03:26:44.4032471Z [ RUN      ] LazyOpsTest.TestUpsampleNearest2DWithScale
2022-11-23T03:26:44.4038477Z [       OK ] LazyOpsTest.TestUpsampleNearest2DWithScale (0 ms)
2022-11-23T03:26:44.4039014Z [ RUN      ] LazyOpsTest.TestUpsampleNearest2DBackwardWithScale
2022-11-23T03:26:44.4062278Z [       OK ] LazyOpsTest.TestUpsampleNearest2DBackwardWithScale (2 ms)
2022-11-23T03:26:44.4063175Z [ RUN      ] LazyOpsTest.TestUpsampleBilinear2D
2022-11-23T03:26:44.4076246Z [       OK ] LazyOpsTest.TestUpsampleBilinear2D (1 ms)
2022-11-23T03:26:44.4076739Z [ RUN      ] LazyOpsTest.TestUpsampleBilinear2DBackward
2022-11-23T03:26:44.4123418Z [       OK ] LazyOpsTest.TestUpsampleBilinear2DBackward (4 ms)
2022-11-23T03:26:44.4123866Z [ RUN      ] LazyOpsTest.TestAddCMul
2022-11-23T03:26:44.4128726Z [       OK ] LazyOpsTest.TestAddCMul (0 ms)
2022-11-23T03:26:44.4129122Z [ RUN      ] LazyOpsTest.TestAddCDiv
2022-11-23T03:26:44.4137341Z [       OK ] LazyOpsTest.TestAddCDiv (0 ms)
2022-11-23T03:26:44.4137888Z [ RUN      ] LazyOpsTest.TestAddCDivWithBroadcast
2022-11-23T03:26:44.4145945Z [       OK ] LazyOpsTest.TestAddCDivWithBroadcast (0 ms)
2022-11-23T03:26:44.4146403Z [ RUN      ] LazyOpsTest.TestSize
2022-11-23T03:26:44.4146782Z [       OK ] LazyOpsTest.TestSize (0 ms)
2022-11-23T03:26:44.4147195Z [ RUN      ] LazyOpsTest.TestSelect
2022-11-23T03:26:44.4313863Z [       OK ] LazyOpsTest.TestSelect (16 ms)
2022-11-23T03:26:44.4314375Z [ RUN      ] LazyOpsTest.TestBernoulliScalarProb
2022-11-23T03:26:44.4318147Z [       OK ] LazyOpsTest.TestBernoulliScalarProb (0 ms)
2022-11-23T03:26:44.4318647Z [ RUN      ] LazyOpsTest.TestBernoulliTensorProb
2022-11-23T03:26:44.4325105Z [       OK ] LazyOpsTest.TestBernoulliTensorProb (0 ms)
2022-11-23T03:26:44.4325623Z [ RUN      ] LazyOpsTest.TestBernoulliScalarProbInPlace
2022-11-23T03:26:44.4332238Z [       OK ] LazyOpsTest.TestBernoulliScalarProbInPlace (0 ms)
2022-11-23T03:26:44.4332833Z [ RUN      ] LazyOpsTest.TestBernoulliTensorProbInPlace
2022-11-23T03:26:44.4341371Z [       OK ] LazyOpsTest.TestBernoulliTensorProbInPlace (0 ms)
2022-11-23T03:26:44.4341833Z [ RUN      ] LazyOpsTest.TestDropout
2022-11-23T03:26:44.4347723Z [       OK ] LazyOpsTest.TestDropout (0 ms)
2022-11-23T03:26:44.4348168Z [ RUN      ] LazyOpsTest.TestDropoutInPlace
2022-11-23T03:26:44.4356920Z [       OK ] LazyOpsTest.TestDropoutInPlace (0 ms)
2022-11-23T03:26:44.4357345Z [ RUN      ] LazyOpsTest.TestRandperm
2022-11-23T03:26:44.4361765Z [       OK ] LazyOpsTest.TestRandperm (0 ms)
2022-11-23T03:26:44.4362177Z [ RUN      ] LazyOpsTest.TestSlice
2022-11-23T03:26:44.4374286Z [       OK ] LazyOpsTest.TestSlice (1 ms)
2022-11-23T03:26:44.4374677Z [ RUN      ] LazyOpsTest.TestTake
2022-11-23T03:26:44.4379608Z [       OK ] LazyOpsTest.TestTake (0 ms)
2022-11-23T03:26:44.4379998Z [ RUN      ] LazyOpsTest.TestTakeBackward
2022-11-23T03:26:44.4410528Z [       OK ] LazyOpsTest.TestTakeBackward (2 ms)
2022-11-23T03:26:44.4411038Z [ RUN      ] LazyOpsTest.TestStack
2022-11-23T03:26:44.4469672Z [       OK ] LazyOpsTest.TestStack (5 ms)
2022-11-23T03:26:44.4470146Z [ RUN      ] LazyOpsTest.TestCat
2022-11-23T03:26:44.4484184Z [       OK ] LazyOpsTest.TestCat (1 ms)
2022-11-23T03:26:44.4484624Z [ RUN      ] LazyOpsTest.TestUnbind
2022-11-23T03:26:44.4532093Z [       OK ] LazyOpsTest.TestUnbind (4 ms)
2022-11-23T03:26:44.4532608Z [ RUN      ] LazyOpsTest.TestRepeat
2022-11-23T03:26:44.4559768Z [       OK ] LazyOpsTest.TestRepeat (2 ms)
2022-11-23T03:26:44.4560233Z [ RUN      ] LazyOpsTest.TestGather
2022-11-23T03:26:44.4573554Z [       OK ] LazyOpsTest.TestGather (1 ms)
2022-11-23T03:26:44.4573988Z [ RUN      ] LazyOpsTest.TestScatter
2022-11-23T03:26:44.4586272Z [       OK ] LazyOpsTest.TestScatter (1 ms)
2022-11-23T03:26:44.4590709Z [ RUN      ] LazyOpsTest.TestScatterR1
2022-11-23T03:26:44.4591137Z [       OK ] LazyOpsTest.TestScatterR1 (0 ms)
2022-11-23T03:26:44.4591536Z [ RUN      ] LazyOpsTest.TestScatterR3
2022-11-23T03:26:44.4597797Z [       OK ] LazyOpsTest.TestScatterR3 (0 ms)
2022-11-23T03:26:44.4598296Z [ RUN      ] LazyOpsTest.TestScatterBiggerSource
2022-11-23T03:26:44.4607697Z [       OK ] LazyOpsTest.TestScatterBiggerSource (0 ms)
2022-11-23T03:26:44.4608163Z [ RUN      ] LazyOpsTest.TestScatterScalar
2022-11-23T03:26:44.4617067Z [       OK ] LazyOpsTest.TestScatterScalar (0 ms)
2022-11-23T03:26:44.4617534Z [ RUN      ] LazyOpsTest.TestScatterReduceAdd
2022-11-23T03:26:44.4628818Z [       OK ] LazyOpsTest.TestScatterReduceAdd (1 ms)
2022-11-23T03:26:44.4629296Z [ RUN      ] LazyOpsTest.TestScatterAdd
2022-11-23T03:26:44.4650832Z [       OK ] LazyOpsTest.TestScatterAdd (2 ms)
2022-11-23T03:26:44.4651334Z [ RUN      ] LazyOpsTest.TestScatterAddInPlace
2022-11-23T03:26:44.4670487Z [       OK ] LazyOpsTest.TestScatterAddInPlace (1 ms)
2022-11-23T03:26:44.4671019Z [ RUN      ] LazyOpsTest.TestIndexSelect
2022-11-23T03:26:44.4890853Z [       OK ] LazyOpsTest.TestIndexSelect (21 ms)
2022-11-23T03:26:44.4891364Z [ RUN      ] LazyOpsTest.TestIndexSelectRank0
2022-11-23T03:26:44.4949300Z [       OK ] LazyOpsTest.TestIndexSelectRank0 (5 ms)
2022-11-23T03:26:44.4949901Z [ RUN      ] LazyOpsTest.TestInverse
2022-11-23T03:26:44.4950287Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:4739: Skipped
2022-11-23T03:26:44.4950535Z 
2022-11-23T03:26:44.4950754Z [  SKIPPED ] LazyOpsTest.TestInverse (0 ms)
2022-11-23T03:26:44.4951154Z [ RUN      ] LazyOpsTest.TestIsnan
2022-11-23T03:26:44.4951569Z [       OK ] LazyOpsTest.TestIsnan (0 ms)
2022-11-23T03:26:44.4951961Z [ RUN      ] LazyOpsTest.TestExpand
2022-11-23T03:26:44.4957577Z [       OK ] LazyOpsTest.TestExpand (0 ms)
2022-11-23T03:26:44.4958297Z [ RUN      ] LazyOpsTest.TestExpandBack
2022-11-23T03:26:44.4964298Z [       OK ] LazyOpsTest.TestExpandBack (0 ms)
2022-11-23T03:26:44.4964929Z [ RUN      ] LazyOpsTest.TestExpandAs
2022-11-23T03:26:44.4972983Z [       OK ] LazyOpsTest.TestExpandAs (0 ms)
2022-11-23T03:26:44.4973543Z [ RUN      ] LazyOpsTest.TestEye
2022-11-23T03:26:44.4975785Z [       OK ] LazyOpsTest.TestEye (0 ms)
2022-11-23T03:26:44.4976689Z [ RUN      ] LazyOpsTest.TestEyeWide
2022-11-23T03:26:44.4978633Z [       OK ] LazyOpsTest.TestEyeWide (0 ms)
2022-11-23T03:26:44.4979275Z [ RUN      ] LazyOpsTest.TestEyeNarrow
2022-11-23T03:26:44.4981461Z [       OK ] LazyOpsTest.TestEyeNarrow (0 ms)
2022-11-23T03:26:44.4982527Z [ RUN      ] LazyOpsTest.TestBroadcastTensors
2022-11-23T03:26:44.4994749Z [       OK ] LazyOpsTest.TestBroadcastTensors (1 ms)
2022-11-23T03:26:44.4995238Z [ RUN      ] LazyOpsTest.TestOneIndex
2022-11-23T03:26:44.5025249Z [       OK ] LazyOpsTest.TestOneIndex (2 ms)
2022-11-23T03:26:44.5025811Z [ RUN      ] LazyOpsTest.TestOneIndexTransfer
2022-11-23T03:26:44.5050193Z [       OK ] LazyOpsTest.TestOneIndexTransfer (2 ms)
2022-11-23T03:26:44.5050693Z [ RUN      ] LazyOpsTest.TestNonzero
2022-11-23T03:26:44.5055216Z [       OK ] LazyOpsTest.TestNonzero (0 ms)
2022-11-23T03:26:44.5055662Z [ RUN      ] LazyOpsTest.TestMaskedSelect
2022-11-23T03:26:44.5063065Z [       OK ] LazyOpsTest.TestMaskedSelect (0 ms)
2022-11-23T03:26:44.5063567Z [ RUN      ] LazyOpsTest.TestMaskedScatter
2022-11-23T03:26:44.5071493Z [       OK ] LazyOpsTest.TestMaskedScatter (0 ms)
2022-11-23T03:26:44.5071996Z [ RUN      ] LazyOpsTest.TestMultiIndexHeadNull
2022-11-23T03:26:44.5100370Z [       OK ] LazyOpsTest.TestMultiIndexHeadNull (2 ms)
2022-11-23T03:26:44.5100923Z [ RUN      ] LazyOpsTest.TestMultiIndexMiddleNull
2022-11-23T03:26:44.5126587Z [       OK ] LazyOpsTest.TestMultiIndexMiddleNull (2 ms)
2022-11-23T03:26:44.5127530Z [ RUN      ] LazyOpsTest.TestMultiIndexTailNull
2022-11-23T03:26:44.5153005Z [       OK ] LazyOpsTest.TestMultiIndexTailNull (2 ms)
2022-11-23T03:26:44.5153538Z [ RUN      ] LazyOpsTest.TestMultiIndexMiddleBroadcast
2022-11-23T03:26:44.5181956Z [       OK ] LazyOpsTest.TestMultiIndexMiddleBroadcast (2 ms)
2022-11-23T03:26:44.5182535Z [ RUN      ] LazyOpsTest.TestMultiIndexTailBroadcast
2022-11-23T03:26:44.5210851Z [       OK ] LazyOpsTest.TestMultiIndexTailBroadcast (2 ms)
2022-11-23T03:26:44.5211347Z [ RUN      ] LazyOpsTest.TestMaskIndex
2022-11-23T03:26:44.5238182Z [       OK ] LazyOpsTest.TestMaskIndex (2 ms)
2022-11-23T03:26:44.5238652Z [ RUN      ] LazyOpsTest.TestOneIndexPut
2022-11-23T03:26:44.5245168Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:5241: Skipped
2022-11-23T03:26:44.5245520Z 
2022-11-23T03:26:44.5245783Z [  SKIPPED ] LazyOpsTest.TestOneIndexPut (0 ms)
2022-11-23T03:26:44.5246335Z [ RUN      ] LazyOpsTest.TestOneIndexPutInPlace
2022-11-23T03:26:44.5254860Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:5275: Skipped
2022-11-23T03:26:44.5255298Z 
2022-11-23T03:26:44.5255706Z [  SKIPPED ] LazyOpsTest.TestOneIndexPutInPlace (0 ms)
2022-11-23T03:26:44.5256734Z [ RUN      ] LazyOpsTest.TestOneIndexPutTransfer
2022-11-23T03:26:44.5260430Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:5326: Skipped
2022-11-23T03:26:44.5260883Z 
2022-11-23T03:26:44.5261199Z [  SKIPPED ] LazyOpsTest.TestOneIndexPutTransfer (0 ms)
2022-11-23T03:26:44.5261689Z [ RUN      ] LazyOpsTest.TestMultiIndexPut
2022-11-23T03:26:44.5266719Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:5371: Skipped
2022-11-23T03:26:44.5267180Z 
2022-11-23T03:26:44.5267516Z [  SKIPPED ] LazyOpsTest.TestMultiIndexPut (0 ms)
2022-11-23T03:26:44.5267986Z [ RUN      ] LazyOpsTest.TestMultiIndexPutHeadNull
2022-11-23T03:26:44.5275484Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:5422: Skipped
2022-11-23T03:26:44.5275807Z 
2022-11-23T03:26:44.5276289Z [  SKIPPED ] LazyOpsTest.TestMultiIndexPutHeadNull (0 ms)
2022-11-23T03:26:44.5276806Z [ RUN      ] LazyOpsTest.TestMultiIndexPutMiddleNull
2022-11-23T03:26:44.5284177Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:5473: Skipped
2022-11-23T03:26:44.5284426Z 
2022-11-23T03:26:44.5284952Z [  SKIPPED ] LazyOpsTest.TestMultiIndexPutMiddleNull (0 ms)
2022-11-23T03:26:44.5285507Z [ RUN      ] LazyOpsTest.TestMultiIndexPutTailNull
2022-11-23T03:26:44.5290773Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:5524: Skipped
2022-11-23T03:26:44.5291017Z 
2022-11-23T03:26:44.5291575Z [  SKIPPED ] LazyOpsTest.TestMultiIndexPutTailNull (0 ms)
2022-11-23T03:26:44.5292115Z [ RUN      ] LazyOpsTest.TestMultiIndexPutMiddleBroadcast
2022-11-23T03:26:44.5297798Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:5574: Skipped
2022-11-23T03:26:44.5298204Z 
2022-11-23T03:26:44.5298566Z [  SKIPPED ] LazyOpsTest.TestMultiIndexPutMiddleBroadcast (0 ms)
2022-11-23T03:26:44.5299106Z [ RUN      ] LazyOpsTest.TestMultiIndexPutTailBroadcast
2022-11-23T03:26:44.5304971Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:5624: Skipped
2022-11-23T03:26:44.5305310Z 
2022-11-23T03:26:44.5305647Z [  SKIPPED ] LazyOpsTest.TestMultiIndexPutTailBroadcast (0 ms)
2022-11-23T03:26:44.5306125Z [ RUN      ] LazyOpsTest.TestMaskIndexPut
2022-11-23T03:26:44.5414322Z [       OK ] LazyOpsTest.TestMaskIndexPut (10 ms)
2022-11-23T03:26:44.5414821Z [ RUN      ] LazyOpsTest.TestIndexPutImpl
2022-11-23T03:26:44.5419503Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:5698: Skipped
2022-11-23T03:26:44.5419887Z 
2022-11-23T03:26:44.5420171Z [  SKIPPED ] LazyOpsTest.TestIndexPutImpl (0 ms)
2022-11-23T03:26:44.5421018Z [ RUN      ] LazyOpsTest.TestIndexFillWithScalar
2022-11-23T03:26:44.5554978Z [       OK ] LazyOpsTest.TestIndexFillWithScalar (13 ms)
2022-11-23T03:26:44.5555529Z [ RUN      ] LazyOpsTest.TestIndexFillWithScalarInPlace
2022-11-23T03:26:44.5700725Z [       OK ] LazyOpsTest.TestIndexFillWithScalarInPlace (14 ms)
2022-11-23T03:26:44.5701365Z [ RUN      ] LazyOpsTest.TestIndexFillWithTensor
2022-11-23T03:26:44.5843433Z [       OK ] LazyOpsTest.TestIndexFillWithTensor (14 ms)
2022-11-23T03:26:44.6022277Z [ RUN      ] LazyOpsTest.TestIndexFillWithTensorInPlace
2022-11-23T03:26:44.6023157Z [       OK ] LazyOpsTest.TestIndexFillWithTensorInPlace (17 ms)
2022-11-23T03:26:44.6023630Z [ RUN      ] LazyOpsTest.TestIndexFillRank0
2022-11-23T03:26:44.6164172Z [       OK ] LazyOpsTest.TestIndexFillRank0 (14 ms)
2022-11-23T03:26:44.6164668Z [ RUN      ] LazyOpsTest.TestIndexAdd
2022-11-23T03:26:44.6487789Z [       OK ] LazyOpsTest.TestIndexAdd (32 ms)
2022-11-23T03:26:44.6488515Z [ RUN      ] LazyOpsTest.TestIndexAddInPlace
2022-11-23T03:26:44.6710731Z [       OK ] LazyOpsTest.TestIndexAddInPlace (22 ms)
2022-11-23T03:26:44.6711236Z [ RUN      ] LazyOpsTest.TestIndexAddRank0
2022-11-23T03:26:44.6837787Z [       OK ] LazyOpsTest.TestIndexAddRank0 (12 ms)
2022-11-23T03:26:44.6838444Z [ RUN      ] LazyOpsTest.TestIndexCopy
2022-11-23T03:26:44.6981378Z [       OK ] LazyOpsTest.TestIndexCopy (14 ms)
2022-11-23T03:26:44.6981921Z [ RUN      ] LazyOpsTest.TestIndexCopyInPlace
2022-11-23T03:26:44.6982321Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:6093: Skipped
2022-11-23T03:26:44.6982549Z 
2022-11-23T03:26:44.6982830Z [  SKIPPED ] LazyOpsTest.TestIndexCopyInPlace (0 ms)
2022-11-23T03:26:44.6983290Z [ RUN      ] LazyOpsTest.TestIndexCopyRank0
2022-11-23T03:26:44.7109446Z [       OK ] LazyOpsTest.TestIndexCopyRank0 (12 ms)
2022-11-23T03:26:44.7110214Z [ RUN      ] LazyOpsTest.TestRelu
2022-11-23T03:26:44.7114456Z [       OK ] LazyOpsTest.TestRelu (0 ms)
2022-11-23T03:26:44.7114804Z [ RUN      ] LazyOpsTest.TestReluInPlace
2022-11-23T03:26:44.7124830Z [       OK ] LazyOpsTest.TestReluInPlace (0 ms)
2022-11-23T03:26:44.7125429Z [ RUN      ] LazyOpsTest.TestHardshrink
2022-11-23T03:26:44.7128470Z [       OK ] LazyOpsTest.TestHardshrink (0 ms)
2022-11-23T03:26:44.7128895Z [ RUN      ] LazyOpsTest.TestHardSigmoid
2022-11-23T03:26:44.7135497Z [       OK ] LazyOpsTest.TestHardSigmoid (0 ms)
2022-11-23T03:26:44.7137349Z [ RUN      ] LazyOpsTest.TestHardSigmoidInPlace
2022-11-23T03:26:44.7144179Z [       OK ] LazyOpsTest.TestHardSigmoidInPlace (0 ms)
2022-11-23T03:26:44.7144898Z [ RUN      ] LazyOpsTest.TestHardSigmoidBackward
2022-11-23T03:26:44.7171511Z [       OK ] LazyOpsTest.TestHardSigmoidBackward (2 ms)
2022-11-23T03:26:44.7172042Z [ RUN      ] LazyOpsTest.TestSoftshrink
2022-11-23T03:26:44.7172978Z [       OK ] LazyOpsTest.TestSoftshrink (0 ms)
2022-11-23T03:26:44.7173719Z [ RUN      ] LazyOpsTest.TestHardtanh
2022-11-23T03:26:44.7177459Z [       OK ] LazyOpsTest.TestHardtanh (0 ms)
2022-11-23T03:26:44.7178154Z [ RUN      ] LazyOpsTest.TestHardtanhInPlace
2022-11-23T03:26:44.7182683Z [       OK ] LazyOpsTest.TestHardtanhInPlace (0 ms)
2022-11-23T03:26:44.7183247Z [ RUN      ] LazyOpsTest.TestLeakyRelu
2022-11-23T03:26:44.7190049Z [       OK ] LazyOpsTest.TestLeakyRelu (0 ms)
2022-11-23T03:26:44.7190538Z [ RUN      ] LazyOpsTest.TestLeakyReluInPlace
2022-11-23T03:26:44.7198536Z [       OK ] LazyOpsTest.TestLeakyReluInPlace (0 ms)
2022-11-23T03:26:44.7199122Z [ RUN      ] LazyOpsTest.TestExp
2022-11-23T03:26:44.7204109Z [       OK ] LazyOpsTest.TestExp (0 ms)
2022-11-23T03:26:44.7204573Z [ RUN      ] LazyOpsTest.TestExpm1
2022-11-23T03:26:44.7208126Z [       OK ] LazyOpsTest.TestExpm1 (0 ms)
2022-11-23T03:26:44.7208521Z [ RUN      ] LazyOpsTest.TestLog
2022-11-23T03:26:44.7213701Z [       OK ] LazyOpsTest.TestLog (0 ms)
2022-11-23T03:26:44.7214156Z [ RUN      ] LazyOpsTest.TestLog2
2022-11-23T03:26:44.7220070Z [       OK ] LazyOpsTest.TestLog2 (0 ms)
2022-11-23T03:26:44.7220545Z [ RUN      ] LazyOpsTest.TestLog10
2022-11-23T03:26:44.7223760Z [       OK ] LazyOpsTest.TestLog10 (0 ms)
2022-11-23T03:26:44.7224161Z [ RUN      ] LazyOpsTest.TestLog1p
2022-11-23T03:26:44.7227116Z [       OK ] LazyOpsTest.TestLog1p (0 ms)
2022-11-23T03:26:44.7227591Z [ RUN      ] LazyOpsTest.TestErf
2022-11-23T03:26:44.7230683Z [       OK ] LazyOpsTest.TestErf (0 ms)
2022-11-23T03:26:44.7231162Z [ RUN      ] LazyOpsTest.TestErfc
2022-11-23T03:26:44.7243312Z [       OK ] LazyOpsTest.TestErfc (1 ms)
2022-11-23T03:26:44.7243787Z [ RUN      ] LazyOpsTest.TestErfinv
2022-11-23T03:26:44.7253493Z [       OK ] LazyOpsTest.TestErfinv (0 ms)
2022-11-23T03:26:44.7253832Z [ RUN      ] LazyOpsTest.TestSqrt
2022-11-23T03:26:44.7261496Z [       OK ] LazyOpsTest.TestSqrt (0 ms)
2022-11-23T03:26:44.7262023Z [ RUN      ] LazyOpsTest.TestRsqrt
2022-11-23T03:26:44.7267758Z [       OK ] LazyOpsTest.TestRsqrt (0 ms)
2022-11-23T03:26:44.7268200Z [ RUN      ] LazyOpsTest.TestReciprocal
2022-11-23T03:26:44.7273053Z [       OK ] LazyOpsTest.TestReciprocal (0 ms)
2022-11-23T03:26:44.7273581Z [ RUN      ] LazyOpsTest.TestPowTensorScalar
2022-11-23T03:26:44.7279315Z [       OK ] LazyOpsTest.TestPowTensorScalar (0 ms)
2022-11-23T03:26:44.7279813Z [ RUN      ] LazyOpsTest.TestPowTensorScalarInPlace
2022-11-23T03:26:44.7287913Z [       OK ] LazyOpsTest.TestPowTensorScalarInPlace (0 ms)
2022-11-23T03:26:44.7288418Z [ RUN      ] LazyOpsTest.TestPowTensorTensor
2022-11-23T03:26:44.7294976Z [       OK ] LazyOpsTest.TestPowTensorTensor (0 ms)
2022-11-23T03:26:44.7295469Z [ RUN      ] LazyOpsTest.TestPowTensorTensorInPlace
2022-11-23T03:26:44.7305277Z [       OK ] LazyOpsTest.TestPowTensorTensorInPlace (0 ms)
2022-11-23T03:26:44.7305697Z [ RUN      ] LazyOpsTest.TestPowTensorTensorBroadcast
2022-11-23T03:26:44.7311825Z [       OK ] LazyOpsTest.TestPowTensorTensorBroadcast (0 ms)
2022-11-23T03:26:44.7312319Z [ RUN      ] LazyOpsTest.TestPowScalarTensor
2022-11-23T03:26:44.7315741Z [       OK ] LazyOpsTest.TestPowScalarTensor (0 ms)
2022-11-23T03:26:44.7316217Z [ RUN      ] LazyOpsTest.TestPowIntExponent
2022-11-23T03:26:44.7322053Z [       OK ] LazyOpsTest.TestPowIntExponent (0 ms)
2022-11-23T03:26:44.7322532Z [ RUN      ] LazyOpsTest.TestFmodScalar
2022-11-23T03:26:44.7326512Z [       OK ] LazyOpsTest.TestFmodScalar (0 ms)
2022-11-23T03:26:44.7327057Z [ RUN      ] LazyOpsTest.TestFmodScalarInPlace
2022-11-23T03:26:44.7332154Z [       OK ] LazyOpsTest.TestFmodScalarInPlace (0 ms)
2022-11-23T03:26:44.7332647Z [ RUN      ] LazyOpsTest.TestFmodTensor
2022-11-23T03:26:44.7336286Z [       OK ] LazyOpsTest.TestFmodTensor (0 ms)
2022-11-23T03:26:44.7336809Z [ RUN      ] LazyOpsTest.TestFmodTensorInPlace
2022-11-23T03:26:44.7342617Z [       OK ] LazyOpsTest.TestFmodTensorInPlace (0 ms)
2022-11-23T03:26:44.7343085Z [ RUN      ] LazyOpsTest.TestRemainderScalar
2022-11-23T03:26:44.7350753Z [       OK ] LazyOpsTest.TestRemainderScalar (0 ms)
2022-11-23T03:26:44.7351262Z [ RUN      ] LazyOpsTest.TestRemainderScalarInPlace
2022-11-23T03:26:44.7360124Z [       OK ] LazyOpsTest.TestRemainderScalarInPlace (0 ms)
2022-11-23T03:26:44.7360620Z [ RUN      ] LazyOpsTest.TestRemainderTensor
2022-11-23T03:26:44.7367430Z [       OK ] LazyOpsTest.TestRemainderTensor (0 ms)
2022-11-23T03:26:44.7367875Z [ RUN      ] LazyOpsTest.TestRemainderTensorInPlace
2022-11-23T03:26:44.7377407Z [       OK ] LazyOpsTest.TestRemainderTensorInPlace (0 ms)
2022-11-23T03:26:44.7377845Z [ RUN      ] LazyOpsTest.TestWhere
2022-11-23T03:26:44.7379511Z [W TensorCompare.cpp:491] Warning: where received a uint8 condition tensor. This behavior is deprecated and will be removed in a future version of PyTorch. Use a boolean condition instead. (function operator())
2022-11-23T03:26:44.7384101Z [       OK ] LazyOpsTest.TestWhere (0 ms)
2022-11-23T03:26:44.7384561Z [ RUN      ] LazyOpsTest.TestWhereBroadcast
2022-11-23T03:26:44.7390194Z [       OK ] LazyOpsTest.TestWhereBroadcast (0 ms)
2022-11-23T03:26:44.7390657Z [ RUN      ] LazyOpsTest.TestThreshold
2022-11-23T03:26:44.7398462Z [       OK ] LazyOpsTest.TestThreshold (0 ms)
2022-11-23T03:26:44.7399182Z [ RUN      ] LazyOpsTest.TestThresholdBackward
2022-11-23T03:26:44.7422576Z [       OK ] LazyOpsTest.TestThresholdBackward (2 ms)
2022-11-23T03:26:44.7423119Z [ RUN      ] LazyOpsTest.TestThresholdInPlace
2022-11-23T03:26:44.7428432Z [       OK ] LazyOpsTest.TestThresholdInPlace (0 ms)
2022-11-23T03:26:44.7429104Z [ RUN      ] LazyOpsTest.TestElu
2022-11-23T03:26:44.7435209Z [       OK ] LazyOpsTest.TestElu (0 ms)
2022-11-23T03:26:44.7435750Z [ RUN      ] LazyOpsTest.TestEluInPlace
2022-11-23T03:26:44.7443425Z [       OK ] LazyOpsTest.TestEluInPlace (0 ms)
2022-11-23T03:26:44.7443846Z [ RUN      ] LazyOpsTest.TestSelu
2022-11-23T03:26:44.7449974Z [       OK ] LazyOpsTest.TestSelu (0 ms)
2022-11-23T03:26:44.7450578Z [ RUN      ] LazyOpsTest.TestSeluInPlace
2022-11-23T03:26:44.7458603Z [       OK ] LazyOpsTest.TestSeluInPlace (0 ms)
2022-11-23T03:26:44.7458982Z [ RUN      ] LazyOpsTest.TestCelu
2022-11-23T03:26:44.7462192Z [       OK ] LazyOpsTest.TestCelu (0 ms)
2022-11-23T03:26:44.7462857Z [ RUN      ] LazyOpsTest.TestCeluInPlace
2022-11-23T03:26:44.7467046Z [       OK ] LazyOpsTest.TestCeluInPlace (0 ms)
2022-11-23T03:26:44.7467458Z [ RUN      ] LazyOpsTest.TestGelu
2022-11-23T03:26:44.7473991Z [       OK ] LazyOpsTest.TestGelu (0 ms)
2022-11-23T03:26:44.7474439Z [ RUN      ] LazyOpsTest.TestAddMatMul
2022-11-23T03:26:44.7494972Z [       OK ] LazyOpsTest.TestAddMatMul (1 ms)
2022-11-23T03:26:44.7495404Z [ RUN      ] LazyOpsTest.TestEmbedding
2022-11-23T03:26:44.7503166Z [       OK ] LazyOpsTest.TestEmbedding (0 ms)
2022-11-23T03:26:44.7503558Z [ RUN      ] LazyOpsTest.TestOneHot
2022-11-23T03:26:44.7521314Z [       OK ] LazyOpsTest.TestOneHot (1 ms)
2022-11-23T03:26:44.7521783Z [ RUN      ] LazyOpsTest.TestTranspose
2022-11-23T03:26:44.7526734Z [       OK ] LazyOpsTest.TestTranspose (0 ms)
2022-11-23T03:26:44.7527214Z [ RUN      ] LazyOpsTest.TestTransposeInPlace
2022-11-23T03:26:44.7534736Z [       OK ] LazyOpsTest.TestTransposeInPlace (0 ms)
2022-11-23T03:26:44.7535181Z [ RUN      ] LazyOpsTest.TestReshape
2022-11-23T03:26:44.7544213Z [       OK ] LazyOpsTest.TestReshape (0 ms)
2022-11-23T03:26:44.7544630Z [ RUN      ] LazyOpsTest.TestResize
2022-11-23T03:26:44.7554557Z [       OK ] LazyOpsTest.TestResize (0 ms)
2022-11-23T03:26:44.7554979Z [ RUN      ] LazyOpsTest.TestViewResize
2022-11-23T03:26:44.7567716Z [       OK ] LazyOpsTest.TestViewResize (1 ms)
2022-11-23T03:26:44.7568389Z [ RUN      ] LazyOpsTest.TestView
2022-11-23T03:26:44.7576035Z [       OK ] LazyOpsTest.TestView (0 ms)
2022-11-23T03:26:44.7576857Z [ RUN      ] LazyOpsTest.TestViewMod
2022-11-23T03:26:44.7602692Z [       OK ] LazyOpsTest.TestViewMod (2 ms)
2022-11-23T03:26:44.7603553Z [ RUN      ] LazyOpsTest.TestViewModComplex
2022-11-23T03:26:44.7631014Z [       OK ] LazyOpsTest.TestViewModComplex (2 ms)
2022-11-23T03:26:44.7631510Z [ RUN      ] LazyOpsTest.TestViewOfViewMod
2022-11-23T03:26:44.7662454Z [       OK ] LazyOpsTest.TestViewOfViewMod (3 ms)
2022-11-23T03:26:44.7662949Z [ RUN      ] LazyOpsTest.TestViewSqueezeAddInPlace
2022-11-23T03:26:44.7678495Z [       OK ] LazyOpsTest.TestViewSqueezeAddInPlace (1 ms)
2022-11-23T03:26:44.7678992Z [ RUN      ] LazyOpsTest.TestUnsafeView
2022-11-23T03:26:44.7688399Z [       OK ] LazyOpsTest.TestUnsafeView (0 ms)
2022-11-23T03:26:44.7688890Z [ RUN      ] LazyOpsTest.TestNarrow
2022-11-23T03:26:44.7726003Z [       OK ] LazyOpsTest.TestNarrow (3 ms)
2022-11-23T03:26:44.7726500Z [ RUN      ] LazyOpsTest.TestNarrowUpdate
2022-11-23T03:26:44.7771803Z [       OK ] LazyOpsTest.TestNarrowUpdate (4 ms)
2022-11-23T03:26:44.7772587Z [ RUN      ] LazyOpsTest.TestNarrowUpdateBaseCheck
2022-11-23T03:26:44.7826867Z [       OK ] LazyOpsTest.TestNarrowUpdateBaseCheck (5 ms)
2022-11-23T03:26:44.7827430Z [ RUN      ] LazyOpsTest.TestNarrowUpdateTwoSlices
2022-11-23T03:26:44.8098537Z [       OK ] LazyOpsTest.TestNarrowUpdateTwoSlices (26 ms)
2022-11-23T03:26:44.8099087Z [ RUN      ] LazyOpsTest.TestNarrowUpdateView
2022-11-23T03:26:44.8151782Z [       OK ] LazyOpsTest.TestNarrowUpdateView (5 ms)
2022-11-23T03:26:44.8152320Z [ RUN      ] LazyOpsTest.TestNarrowInNarrowUpdate
2022-11-23T03:26:44.8259256Z [       OK ] LazyOpsTest.TestNarrowInNarrowUpdate (10 ms)
2022-11-23T03:26:44.8259775Z [ RUN      ] LazyOpsTest.TestNarrowCopy
2022-11-23T03:26:44.8277920Z [       OK ] LazyOpsTest.TestNarrowCopy (1 ms)
2022-11-23T03:26:44.8278353Z [ RUN      ] LazyOpsTest.TestViewAs
2022-11-23T03:26:44.8288643Z [       OK ] LazyOpsTest.TestViewAs (1 ms)
2022-11-23T03:26:44.8289115Z [ RUN      ] LazyOpsTest.TestLogSoftmax
2022-11-23T03:26:44.8331974Z [       OK ] LazyOpsTest.TestLogSoftmax (4 ms)
2022-11-23T03:26:44.8332529Z [ RUN      ] LazyOpsTest.TestLogSoftmaxCast
2022-11-23T03:26:44.8387633Z [       OK ] LazyOpsTest.TestLogSoftmaxCast (5 ms)
2022-11-23T03:26:44.8388151Z [ RUN      ] LazyOpsTest.TestLogSoftmaxWrapper
2022-11-23T03:26:44.8429453Z [       OK ] LazyOpsTest.TestLogSoftmaxWrapper (4 ms)
2022-11-23T03:26:44.8430018Z [ RUN      ] LazyOpsTest.TestSoftmax
2022-11-23T03:26:44.8471680Z [       OK ] LazyOpsTest.TestSoftmax (4 ms)
2022-11-23T03:26:44.8472608Z [ RUN      ] LazyOpsTest.TestSoftmaxCast
2022-11-23T03:26:44.8527006Z [       OK ] LazyOpsTest.TestSoftmaxCast (5 ms)
2022-11-23T03:26:44.8527497Z [ RUN      ] LazyOpsTest.TestSoftmaxWrapper
2022-11-23T03:26:44.8578203Z [       OK ] LazyOpsTest.TestSoftmaxWrapper (4 ms)
2022-11-23T03:26:44.8578867Z [ RUN      ] LazyOpsTest.TestSoftplus
2022-11-23T03:26:44.8583809Z [       OK ] LazyOpsTest.TestSoftplus (0 ms)
2022-11-23T03:26:44.8584238Z [ RUN      ] LazyOpsTest.TestMaxPool1D
2022-11-23T03:26:44.8746710Z [       OK ] LazyOpsTest.TestMaxPool1D (15 ms)
2022-11-23T03:26:44.8747146Z [ RUN      ] LazyOpsTest.TestMaxPool2D
2022-11-23T03:26:44.8859379Z [       OK ] LazyOpsTest.TestMaxPool2D (11 ms)
2022-11-23T03:26:44.8859861Z [ RUN      ] LazyOpsTest.TestMaxPool2DWithIndices
2022-11-23T03:26:44.9100253Z [       OK ] LazyOpsTest.TestMaxPool2DWithIndices (23 ms)
2022-11-23T03:26:44.9100859Z [ RUN      ] LazyOpsTest.TestMaxPool2DNonSquare
2022-11-23T03:26:44.9213705Z [       OK ] LazyOpsTest.TestMaxPool2DNonSquare (11 ms)
2022-11-23T03:26:44.9214198Z [ RUN      ] LazyOpsTest.TestMaxPool3D
2022-11-23T03:26:44.9269641Z [       OK ] LazyOpsTest.TestMaxPool3D (5 ms)
2022-11-23T03:26:44.9270528Z [ RUN      ] LazyOpsTest.TestMaxPool3DWithIndices
2022-11-23T03:26:44.9344216Z [       OK ] LazyOpsTest.TestMaxPool3DWithIndices (7 ms)
2022-11-23T03:26:44.9344756Z [ RUN      ] LazyOpsTest.TestMaxPool3DIncompleteAttributes
2022-11-23T03:26:44.9397132Z [       OK ] LazyOpsTest.TestMaxPool3DIncompleteAttributes (5 ms)
2022-11-23T03:26:44.9397666Z [ RUN      ] LazyOpsTest.TestMaxPool3DNonSquare
2022-11-23T03:26:44.9450525Z [       OK ] LazyOpsTest.TestMaxPool3DNonSquare (5 ms)
2022-11-23T03:26:44.9450996Z [ RUN      ] LazyOpsTest.TestMaxPool2DNoBatch
2022-11-23T03:26:44.9566922Z [       OK ] LazyOpsTest.TestMaxPool2DNoBatch (11 ms)
2022-11-23T03:26:44.9567417Z [ RUN      ] LazyOpsTest.TestMaxPool3DNoBatch
2022-11-23T03:26:44.9623369Z [       OK ] LazyOpsTest.TestMaxPool3DNoBatch (5 ms)
2022-11-23T03:26:44.9623806Z [ RUN      ] LazyOpsTest.TestAvgPool1D
2022-11-23T03:26:44.9773777Z [       OK ] LazyOpsTest.TestAvgPool1D (14 ms)
2022-11-23T03:26:44.9774218Z [ RUN      ] LazyOpsTest.TestAvgPool2D
2022-11-23T03:26:44.9877376Z [       OK ] LazyOpsTest.TestAvgPool2D (10 ms)
2022-11-23T03:26:44.9877920Z [ RUN      ] LazyOpsTest.TestAvgPool2DNonSquare
2022-11-23T03:26:44.9984378Z [       OK ] LazyOpsTest.TestAvgPool2DNonSquare (10 ms)
2022-11-23T03:26:44.9984845Z [ RUN      ] LazyOpsTest.TestAvgPool3D
2022-11-23T03:26:45.0033251Z [       OK ] LazyOpsTest.TestAvgPool3D (4 ms)
2022-11-23T03:26:45.0080589Z [ RUN      ] LazyOpsTest.TestAvgPool3DIncompleteAttributes
2022-11-23T03:26:45.0081199Z [       OK ] LazyOpsTest.TestAvgPool3DIncompleteAttributes (4 ms)
2022-11-23T03:26:45.0081695Z [ RUN      ] LazyOpsTest.TestAvgPool3DNonSquare
2022-11-23T03:26:45.0129412Z [       OK ] LazyOpsTest.TestAvgPool3DNonSquare (4 ms)
2022-11-23T03:26:45.0129933Z [ RUN      ] LazyOpsTest.TestAvgPool2DNoBatch
2022-11-23T03:26:45.0242051Z [       OK ] LazyOpsTest.TestAvgPool2DNoBatch (11 ms)
2022-11-23T03:26:45.0242511Z [ RUN      ] LazyOpsTest.TestAvgPool3DNoBatch
2022-11-23T03:26:45.0290443Z [       OK ] LazyOpsTest.TestAvgPool3DNoBatch (4 ms)
2022-11-23T03:26:45.0290928Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool2D
2022-11-23T03:26:45.0306209Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool2D (1 ms)
2022-11-23T03:26:45.0306670Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool3D
2022-11-23T03:26:45.0352733Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool3D (4 ms)
2022-11-23T03:26:45.0353637Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatch
2022-11-23T03:26:45.0368132Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatch (1 ms)
2022-11-23T03:26:45.0368712Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatch
2022-11-23T03:26:45.0384356Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatch (1 ms)
2022-11-23T03:26:45.0384838Z [ RUN      ] LazyOpsTest.TestMaxUnpool2D
2022-11-23T03:26:45.0447883Z [       OK ] LazyOpsTest.TestMaxUnpool2D (6 ms)
2022-11-23T03:26:45.0448345Z [ RUN      ] LazyOpsTest.TestMaxUnpool3D
2022-11-23T03:26:45.0511146Z [       OK ] LazyOpsTest.TestMaxUnpool3D (6 ms)
2022-11-23T03:26:45.0511663Z [ RUN      ] LazyOpsTest.TestNllLoss
2022-11-23T03:26:45.0512006Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:8184: Skipped
2022-11-23T03:26:45.0512262Z 
2022-11-23T03:26:45.0512506Z [  SKIPPED ] LazyOpsTest.TestNllLoss (0 ms)
2022-11-23T03:26:45.0512929Z [ RUN      ] LazyOpsTest.TestNllLoss2d
2022-11-23T03:26:45.0693965Z [       OK ] LazyOpsTest.TestNllLoss2d (18 ms)
2022-11-23T03:26:45.0694421Z [ RUN      ] LazyOpsTest.TestSmoothL1Loss
2022-11-23T03:26:45.0734478Z [       OK ] LazyOpsTest.TestSmoothL1Loss (4 ms)
2022-11-23T03:26:45.0734913Z [ RUN      ] LazyOpsTest.TestL1Loss
2022-11-23T03:26:45.0761085Z [       OK ] LazyOpsTest.TestL1Loss (2 ms)
2022-11-23T03:26:45.0761590Z [ RUN      ] LazyOpsTest.TestL1LossBackward
2022-11-23T03:26:45.0849975Z [       OK ] LazyOpsTest.TestL1LossBackward (8 ms)
2022-11-23T03:26:45.0850411Z [ RUN      ] LazyOpsTest.TestMseLoss
2022-11-23T03:26:45.0860743Z [       OK ] LazyOpsTest.TestMseLoss (1 ms)
2022-11-23T03:26:45.0861182Z [ RUN      ] LazyOpsTest.TestMseLossBackward
2022-11-23T03:26:45.0932163Z [       OK ] LazyOpsTest.TestMseLossBackward (6 ms)
2022-11-23T03:26:45.0932650Z [ RUN      ] LazyOpsTest.TestBatchNorm1D
2022-11-23T03:26:45.0973434Z [       OK ] LazyOpsTest.TestBatchNorm1D (4 ms)
2022-11-23T03:26:45.0973881Z [ RUN      ] LazyOpsTest.TestBatchNorm2D
2022-11-23T03:26:45.1013379Z [       OK ] LazyOpsTest.TestBatchNorm2D (3 ms)
2022-11-23T03:26:45.1013789Z [ RUN      ] LazyOpsTest.TestDim
2022-11-23T03:26:45.1014267Z [       OK ] LazyOpsTest.TestDim (0 ms)
2022-11-23T03:26:45.1014593Z [ RUN      ] LazyOpsTest.TestContiguous
2022-11-23T03:26:45.1015008Z [       OK ] LazyOpsTest.TestContiguous (0 ms)
2022-11-23T03:26:45.1015424Z [ RUN      ] LazyOpsTest.TestSqueezeAll
2022-11-23T03:26:45.1022137Z [       OK ] LazyOpsTest.TestSqueezeAll (0 ms)
2022-11-23T03:26:45.1022539Z [ RUN      ] LazyOpsTest.TestSqueezeAllInPlace
2022-11-23T03:26:45.1029868Z [       OK ] LazyOpsTest.TestSqueezeAllInPlace (0 ms)
2022-11-23T03:26:45.1030388Z [ RUN      ] LazyOpsTest.TestSqueezeOne
2022-11-23T03:26:45.1078248Z [       OK ] LazyOpsTest.TestSqueezeOne (4 ms)
2022-11-23T03:26:45.1137234Z [ RUN      ] LazyOpsTest.TestSqueezeOneInPlace
2022-11-23T03:26:45.1137943Z [       OK ] LazyOpsTest.TestSqueezeOneInPlace (5 ms)
2022-11-23T03:26:45.1138397Z [ RUN      ] LazyOpsTest.TestUnsqueeze
2022-11-23T03:26:45.1172075Z [       OK ] LazyOpsTest.TestUnsqueeze (3 ms)
2022-11-23T03:26:45.1172623Z [ RUN      ] LazyOpsTest.TestUnsqueezeInPlace
2022-11-23T03:26:45.1215019Z [       OK ] LazyOpsTest.TestUnsqueezeInPlace (4 ms)
2022-11-23T03:26:45.1215478Z [ RUN      ] LazyOpsTest.TestMaskedFill
2022-11-23T03:26:45.1220979Z [       OK ] LazyOpsTest.TestMaskedFill (0 ms)
2022-11-23T03:26:45.1221418Z [ RUN      ] LazyOpsTest.TestMaskedFillInPlace
2022-11-23T03:26:45.1230786Z [       OK ] LazyOpsTest.TestMaskedFillInPlace (0 ms)
2022-11-23T03:26:45.1231251Z [ RUN      ] LazyOpsTest.TestMaskedFillBroadcast
2022-11-23T03:26:45.1238608Z [       OK ] LazyOpsTest.TestMaskedFillBroadcast (0 ms)
2022-11-23T03:26:45.1239042Z [ RUN      ] LazyOpsTest.TestFill
2022-11-23T03:26:45.1248404Z [       OK ] LazyOpsTest.TestFill (0 ms)
2022-11-23T03:26:45.1248807Z [ RUN      ] LazyOpsTest.TestFillWithRank0
2022-11-23T03:26:45.1254135Z [       OK ] LazyOpsTest.TestFillWithRank0 (0 ms)
2022-11-23T03:26:45.1254558Z [ RUN      ] LazyOpsTest.TestPermute
2022-11-23T03:26:45.1327833Z [       OK ] LazyOpsTest.TestPermute (7 ms)
2022-11-23T03:26:45.1328280Z [ RUN      ] LazyOpsTest.TestPermuteMod
2022-11-23T03:26:45.1591322Z [       OK ] LazyOpsTest.TestPermuteMod (26 ms)
2022-11-23T03:26:45.1591739Z [ RUN      ] LazyOpsTest.TestFlip
2022-11-23T03:26:45.1668703Z [       OK ] LazyOpsTest.TestFlip (7 ms)
2022-11-23T03:26:45.1669179Z [ RUN      ] LazyOpsTest.TestPixelShuffle
2022-11-23T03:26:45.1679010Z [       OK ] LazyOpsTest.TestPixelShuffle (1 ms)
2022-11-23T03:26:45.1679446Z [ RUN      ] LazyOpsTest.TestSumToSize
2022-11-23T03:26:45.1686267Z [       OK ] LazyOpsTest.TestSumToSize (0 ms)
2022-11-23T03:26:45.1686709Z [ RUN      ] LazyOpsTest.TestTransposeDims
2022-11-23T03:26:45.1693369Z [       OK ] LazyOpsTest.TestTransposeDims (0 ms)
2022-11-23T03:26:45.1694210Z [ RUN      ] LazyOpsTest.TestTransposeDimsMod
2022-11-23T03:26:45.1716842Z [       OK ] LazyOpsTest.TestTransposeDimsMod (2 ms)
2022-11-23T03:26:45.1717371Z [ RUN      ] LazyOpsTest.TestTransposeDimsInPlace
2022-11-23T03:26:45.1725000Z [       OK ] LazyOpsTest.TestTransposeDimsInPlace (0 ms)
2022-11-23T03:26:45.1725417Z [ RUN      ] LazyOpsTest.TestSplit
2022-11-23T03:26:45.1810129Z [       OK ] LazyOpsTest.TestSplit (8 ms)
2022-11-23T03:26:45.1810589Z [ RUN      ] LazyOpsTest.TestSplitEmpty
2022-11-23T03:26:45.1811008Z [       OK ] LazyOpsTest.TestSplitEmpty (0 ms)
2022-11-23T03:26:45.1811448Z [ RUN      ] LazyOpsTest.TestSplitWithSizes
2022-11-23T03:26:45.1852673Z [       OK ] LazyOpsTest.TestSplitWithSizes (4 ms)
2022-11-23T03:26:45.1853160Z [ RUN      ] LazyOpsTest.TestCrossImplicitDim
2022-11-23T03:26:45.1863750Z [       OK ] LazyOpsTest.TestCrossImplicitDim (1 ms)
2022-11-23T03:26:45.1864281Z [ RUN      ] LazyOpsTest.TestCrossExplicitDim
2022-11-23T03:26:45.1879013Z [       OK ] LazyOpsTest.TestCrossExplicitDim (1 ms)
2022-11-23T03:26:45.1879499Z [ RUN      ] LazyOpsTest.TestCrossZeroDim
2022-11-23T03:26:45.1879917Z [       OK ] LazyOpsTest.TestCrossZeroDim (0 ms)
2022-11-23T03:26:45.1880311Z [ RUN      ] LazyOpsTest.TestTriu
2022-11-23T03:26:45.1943592Z [       OK ] LazyOpsTest.TestTriu (6 ms)
2022-11-23T03:26:45.1944038Z [ RUN      ] LazyOpsTest.TestTriuNonSquare
2022-11-23T03:26:45.2001581Z [       OK ] LazyOpsTest.TestTriuNonSquare (5 ms)
2022-11-23T03:26:45.2002122Z [ RUN      ] LazyOpsTest.TestTriuBatch
2022-11-23T03:26:45.2063480Z [       OK ] LazyOpsTest.TestTriuBatch (6 ms)
2022-11-23T03:26:45.2063933Z [ RUN      ] LazyOpsTest.TestTril
2022-11-23T03:26:45.2123374Z [       OK ] LazyOpsTest.TestTril (5 ms)
2022-11-23T03:26:45.2123801Z [ RUN      ] LazyOpsTest.TestTrilNonSquare
2022-11-23T03:26:45.2182287Z [       OK ] LazyOpsTest.TestTrilNonSquare (5 ms)
2022-11-23T03:26:45.2182746Z [ RUN      ] LazyOpsTest.TestTrilBatch
2022-11-23T03:26:45.2242770Z [       OK ] LazyOpsTest.TestTrilBatch (5 ms)
2022-11-23T03:26:45.2243300Z [ RUN      ] LazyOpsTest.TestTriuInPlace
2022-11-23T03:26:45.2323170Z [       OK ] LazyOpsTest.TestTriuInPlace (8 ms)
2022-11-23T03:26:45.2323666Z [ RUN      ] LazyOpsTest.TestTrilInPlace
2022-11-23T03:26:45.2409351Z [       OK ] LazyOpsTest.TestTrilInPlace (8 ms)
2022-11-23T03:26:45.2410224Z [ RUN      ] LazyOpsTest.TestTrace
2022-11-23T03:26:45.2414912Z [       OK ] LazyOpsTest.TestTrace (0 ms)
2022-11-23T03:26:45.2415570Z [ RUN      ] LazyOpsTest.TestTraceWide
2022-11-23T03:26:45.2421240Z [       OK ] LazyOpsTest.TestTraceWide (0 ms)
2022-11-23T03:26:45.2421872Z [ RUN      ] LazyOpsTest.TestTraceNarrow
2022-11-23T03:26:45.2427454Z [       OK ] LazyOpsTest.TestTraceNarrow (0 ms)
2022-11-23T03:26:45.2428073Z [ RUN      ] LazyOpsTest.TestDiagRank1
2022-11-23T03:26:45.2818992Z [       OK ] LazyOpsTest.TestDiagRank1 (38 ms)
2022-11-23T03:26:45.2819461Z [ RUN      ] LazyOpsTest.TestDiagRank2
2022-11-23T03:26:45.2906860Z [       OK ] LazyOpsTest.TestDiagRank2 (8 ms)
2022-11-23T03:26:45.2907341Z [ RUN      ] LazyOpsTest.TestDiagFlat
2022-11-23T03:26:45.3645356Z [       OK ] LazyOpsTest.TestDiagFlat (73 ms)
2022-11-23T03:26:45.3646202Z [ RUN      ] LazyOpsTest.TestDiagonal
2022-11-23T03:26:45.3715369Z [       OK ] LazyOpsTest.TestDiagonal (6 ms)
2022-11-23T03:26:45.3715892Z [ RUN      ] LazyOpsTest.TestDiagonalUpdate
2022-11-23T03:26:45.3866242Z [       OK ] LazyOpsTest.TestDiagonalUpdate (15 ms)
2022-11-23T03:26:45.3866778Z [ RUN      ] LazyOpsTest.TestDiagonalNonSquare
2022-11-23T03:26:45.3933082Z [       OK ] LazyOpsTest.TestDiagonalNonSquare (6 ms)
2022-11-23T03:26:45.3933767Z [ RUN      ] LazyOpsTest.TestDiagonalBatch
2022-11-23T03:26:45.3997624Z [       OK ] LazyOpsTest.TestDiagonalBatch (6 ms)
2022-11-23T03:26:45.3998116Z [ RUN      ] LazyOpsTest.TestFlatten
2022-11-23T03:26:45.4135264Z [       OK ] LazyOpsTest.TestFlatten (13 ms)
2022-11-23T03:26:45.4135769Z [ RUN      ] LazyOpsTest.TestLogicalAnd
2022-11-23T03:26:45.4208905Z [       OK ] LazyOpsTest.TestLogicalAnd (7 ms)
2022-11-23T03:26:45.4209481Z [ RUN      ] LazyOpsTest.TestBitwiseAnd
2022-11-23T03:26:45.4215285Z [       OK ] LazyOpsTest.TestBitwiseAnd (0 ms)
2022-11-23T03:26:45.4216640Z [ RUN      ] LazyOpsTest.TestBitwiseAndInPlace
2022-11-23T03:26:45.4224132Z [       OK ] LazyOpsTest.TestBitwiseAndInPlace (0 ms)
2022-11-23T03:26:45.4225097Z [ RUN      ] LazyOpsTest.TestBitwiseAndScalar
2022-11-23T03:26:45.4230534Z [       OK ] LazyOpsTest.TestBitwiseAndScalar (0 ms)
2022-11-23T03:26:45.4231482Z [ RUN      ] LazyOpsTest.TestBitwiseAndScalarInPlace
2022-11-23T03:26:45.4237958Z [       OK ] LazyOpsTest.TestBitwiseAndScalarInPlace (0 ms)
2022-11-23T03:26:45.4238925Z [ RUN      ] LazyOpsTest.TestBitwiseAndPromotion
2022-11-23T03:26:45.4249040Z [       OK ] LazyOpsTest.TestBitwiseAndPromotion (1 ms)
2022-11-23T03:26:45.4249972Z [ RUN      ] LazyOpsTest.TestBitwiseOr
2022-11-23T03:26:45.4255006Z [       OK ] LazyOpsTest.TestBitwiseOr (0 ms)
2022-11-23T03:26:45.4255920Z [ RUN      ] LazyOpsTest.TestBitwiseOrInPlace
2022-11-23T03:26:45.4263165Z [       OK ] LazyOpsTest.TestBitwiseOrInPlace (0 ms)
2022-11-23T03:26:45.4264054Z [ RUN      ] LazyOpsTest.TestBitwiseOrScalar
2022-11-23T03:26:45.4268405Z [       OK ] LazyOpsTest.TestBitwiseOrScalar (0 ms)
2022-11-23T03:26:45.4269359Z [ RUN      ] LazyOpsTest.TestBitwiseOrScalarInPlace
2022-11-23T03:26:45.4275455Z [       OK ] LazyOpsTest.TestBitwiseOrScalarInPlace (0 ms)
2022-11-23T03:26:45.4276320Z [ RUN      ] LazyOpsTest.TestBitwiseXor
2022-11-23T03:26:45.4279381Z [       OK ] LazyOpsTest.TestBitwiseXor (0 ms)
2022-11-23T03:26:45.4280334Z [ RUN      ] LazyOpsTest.TestBitwiseXorInPlace
2022-11-23T03:26:45.4283241Z [       OK ] LazyOpsTest.TestBitwiseXorInPlace (0 ms)
2022-11-23T03:26:45.4284158Z [ RUN      ] LazyOpsTest.TestBitwiseXorScalar
2022-11-23T03:26:45.4285853Z [       OK ] LazyOpsTest.TestBitwiseXorScalar (0 ms)
2022-11-23T03:26:45.4287168Z [ RUN      ] LazyOpsTest.TestBitwiseXorScalarInPlace
2022-11-23T03:26:45.4289232Z [       OK ] LazyOpsTest.TestBitwiseXorScalarInPlace (0 ms)
2022-11-23T03:26:45.4289913Z [ RUN      ] LazyOpsTest.TestLshift
2022-11-23T03:26:45.4294374Z [       OK ] LazyOpsTest.TestLshift (0 ms)
2022-11-23T03:26:45.4295208Z [ RUN      ] LazyOpsTest.TestLshiftInPlace
2022-11-23T03:26:45.4301078Z [       OK ] LazyOpsTest.TestLshiftInPlace (0 ms)
2022-11-23T03:26:45.4301943Z [ RUN      ] LazyOpsTest.TestLshiftScalar
2022-11-23T03:26:45.4305012Z [       OK ] LazyOpsTest.TestLshiftScalar (0 ms)
2022-11-23T03:26:45.4305924Z [ RUN      ] LazyOpsTest.TestLshiftScalarInPlace
2022-11-23T03:26:45.4310440Z [       OK ] LazyOpsTest.TestLshiftScalarInPlace (0 ms)
2022-11-23T03:26:45.4311290Z [ RUN      ] LazyOpsTest.TestRshift
2022-11-23T03:26:45.4315239Z [       OK ] LazyOpsTest.TestRshift (0 ms)
2022-11-23T03:26:45.4316153Z [ RUN      ] LazyOpsTest.TestRshiftInPlace
2022-11-23T03:26:45.4321448Z [       OK ] LazyOpsTest.TestRshiftInPlace (0 ms)
2022-11-23T03:26:45.4322415Z [ RUN      ] LazyOpsTest.TestRshiftScalar
2022-11-23T03:26:45.4325817Z [       OK ] LazyOpsTest.TestRshiftScalar (0 ms)
2022-11-23T03:26:45.4327100Z [ RUN      ] LazyOpsTest.TestRshiftScalarInPlace
2022-11-23T03:26:45.4330989Z [       OK ] LazyOpsTest.TestRshiftScalarInPlace (0 ms)
2022-11-23T03:26:45.4331941Z [ RUN      ] LazyOpsTest.TestMeshgrid
2022-11-23T03:26:45.4332559Z [W TensorShape.cpp:3433] Warning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (function operator())
2022-11-23T03:26:45.4358948Z [       OK ] LazyOpsTest.TestMeshgrid (2 ms)
2022-11-23T03:26:45.4359441Z [ RUN      ] LazyOpsTest.TestConstantPad
2022-11-23T03:26:45.4366702Z [       OK ] LazyOpsTest.TestConstantPad (0 ms)
2022-11-23T03:26:45.4367569Z [ RUN      ] LazyOpsTest.TestConstantPadIncomplete
2022-11-23T03:26:45.4373962Z [       OK ] LazyOpsTest.TestConstantPadIncomplete (0 ms)
2022-11-23T03:26:45.4374840Z [ RUN      ] LazyOpsTest.TestReflectionPad2dRank3
2022-11-23T03:26:45.4378021Z [       OK ] LazyOpsTest.TestReflectionPad2dRank3 (0 ms)
2022-11-23T03:26:45.4378961Z [ RUN      ] LazyOpsTest.TestReflectionPad2dRank4
2022-11-23T03:26:45.4382449Z [       OK ] LazyOpsTest.TestReflectionPad2dRank4 (0 ms)
2022-11-23T03:26:45.4383393Z [ RUN      ] LazyOpsTest.TestReflectionPad2dBackward
2022-11-23T03:26:45.4407205Z [       OK ] LazyOpsTest.TestReflectionPad2dBackward (2 ms)
2022-11-23T03:26:45.4407849Z [ RUN      ] LazyOpsTest.TestReplicationPad1d
2022-11-23T03:26:45.4409188Z [       OK ] LazyOpsTest.TestReplicationPad1d (0 ms)
2022-11-23T03:26:45.4410130Z [ RUN      ] LazyOpsTest.TestReplicationPad1dZeroPad
2022-11-23T03:26:45.4413192Z [       OK ] LazyOpsTest.TestReplicationPad1dZeroPad (0 ms)
2022-11-23T03:26:45.4414107Z [ RUN      ] LazyOpsTest.TestReplicationPad1dBackward
2022-11-23T03:26:45.4433053Z [       OK ] LazyOpsTest.TestReplicationPad1dBackward (1 ms)
2022-11-23T03:26:45.4433828Z [ RUN      ] LazyOpsTest.TestReplicationPad2d
2022-11-23T03:26:45.4436812Z [       OK ] LazyOpsTest.TestReplicationPad2d (0 ms)
2022-11-23T03:26:45.4437794Z [ RUN      ] LazyOpsTest.TestReplicationPad2dZeroPad
2022-11-23T03:26:45.4440637Z [       OK ] LazyOpsTest.TestReplicationPad2dZeroPad (0 ms)
2022-11-23T03:26:45.4441518Z [ RUN      ] LazyOpsTest.TestReplicationPad2dBackward
2022-11-23T03:26:45.4464875Z [       OK ] LazyOpsTest.TestReplicationPad2dBackward (2 ms)
2022-11-23T03:26:45.4465449Z [ RUN      ] LazyOpsTest.TestAsStrided
2022-11-23T03:26:45.4479462Z [       OK ] LazyOpsTest.TestAsStrided (1 ms)
2022-11-23T03:26:45.4480815Z [ RUN      ] LazyOpsTest.TestAsStridedInPlace
2022-11-23T03:26:45.4502038Z [       OK ] LazyOpsTest.TestAsStridedInPlace (2 ms)
2022-11-23T03:26:45.4502908Z [ RUN      ] LazyOpsTest.TestAsStridedWithOffset
2022-11-23T03:26:45.4513241Z [       OK ] LazyOpsTest.TestAsStridedWithOffset (1 ms)
2022-11-23T03:26:45.4514138Z [ RUN      ] LazyOpsTest.TestAsStridedWithInplaceCopy
2022-11-23T03:26:45.4529697Z [       OK ] LazyOpsTest.TestAsStridedWithInplaceCopy (1 ms)
2022-11-23T03:26:45.4530153Z [ RUN      ] LazyOpsTest.TestEmptyStrided
2022-11-23T03:26:45.4530610Z [       OK ] LazyOpsTest.TestEmptyStrided (0 ms)
2022-11-23T03:26:45.4531059Z [ RUN      ] LazyOpsTest.TestAvgPool2DBackward
2022-11-23T03:26:45.4904862Z [       OK ] LazyOpsTest.TestAvgPool2DBackward (37 ms)
2022-11-23T03:26:45.4905368Z [ RUN      ] LazyOpsTest.TestAvgPool3DBackward
2022-11-23T03:26:45.5169549Z [       OK ] LazyOpsTest.TestAvgPool3DBackward (26 ms)
2022-11-23T03:26:45.5170056Z [ RUN      ] LazyOpsTest.TestAvgPool2DNoBatchBackward
2022-11-23T03:26:45.5556002Z [       OK ] LazyOpsTest.TestAvgPool2DNoBatchBackward (38 ms)
2022-11-23T03:26:45.5556535Z [ RUN      ] LazyOpsTest.TestAvgPool3DNoBatchBackward
2022-11-23T03:26:45.5835580Z [       OK ] LazyOpsTest.TestAvgPool3DNoBatchBackward (27 ms)
2022-11-23T03:26:45.5836408Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatchBackward
2022-11-23T03:26:45.5836915Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:10059: Skipped
2022-11-23T03:26:45.5837155Z 
2022-11-23T03:26:45.5837504Z [  SKIPPED ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatchBackward (0 ms)
2022-11-23T03:26:45.5838047Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool3DBackward
2022-11-23T03:26:45.5838446Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:10082: Skipped
2022-11-23T03:26:45.5838692Z 
2022-11-23T03:26:45.5839093Z [  SKIPPED ] LazyOpsTest.TestAdaptiveAvgPool3DBackward (0 ms)
2022-11-23T03:26:45.5839513Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool2DBackward
2022-11-23T03:26:45.5893420Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool2DBackward (5 ms)
2022-11-23T03:26:45.5893987Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatchBackward
2022-11-23T03:26:45.5944916Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatchBackward (5 ms)
2022-11-23T03:26:45.5945416Z [ RUN      ] LazyOpsTest.TestConv2D
2022-11-23T03:26:46.5575067Z [       OK ] LazyOpsTest.TestConv2D (962 ms)
2022-11-23T03:26:46.5575554Z [ RUN      ] LazyOpsTest.TestConv2DBackward
2022-11-23T03:26:47.4417532Z [       OK ] LazyOpsTest.TestConv2DBackward (884 ms)
2022-11-23T03:26:47.4418631Z [ RUN      ] LazyOpsTest.TestTransposedConv2DBackward
2022-11-23T03:26:48.0006827Z [       OK ] LazyOpsTest.TestTransposedConv2DBackward (558 ms)
2022-11-23T03:26:48.0007966Z [ RUN      ] LazyOpsTest.TestConv3DBackward
2022-11-23T03:26:48.4746947Z [       OK ] LazyOpsTest.TestConv3DBackward (473 ms)
2022-11-23T03:26:48.4748043Z [ RUN      ] LazyOpsTest.TestTransposedConv3DBackward
2022-11-23T03:26:49.4777840Z [       OK ] LazyOpsTest.TestTransposedConv3DBackward (1002 ms)
2022-11-23T03:26:49.4778991Z [ RUN      ] LazyOpsTest.TestMaxPool2DBackward
2022-11-23T03:26:49.5016919Z [       OK ] LazyOpsTest.TestMaxPool2DBackward (23 ms)
2022-11-23T03:26:49.5018001Z [ RUN      ] LazyOpsTest.TestMaxPool3DBackward
2022-11-23T03:26:49.5179423Z [       OK ] LazyOpsTest.TestMaxPool3DBackward (16 ms)
2022-11-23T03:26:49.5180551Z [ RUN      ] LazyOpsTest.TestMaxPool2DNoBatchBackward
2022-11-23T03:26:49.5411395Z [       OK ] LazyOpsTest.TestMaxPool2DNoBatchBackward (23 ms)
2022-11-23T03:26:49.5412555Z [ RUN      ] LazyOpsTest.TestMaxPool3DNoBatchBackward
2022-11-23T03:26:49.5578781Z [       OK ] LazyOpsTest.TestMaxPool3DNoBatchBackward (16 ms)
2022-11-23T03:26:49.5579443Z [ RUN      ] LazyOpsTest.TestMaxUnpool2DBackward
2022-11-23T03:26:49.6041911Z [       OK ] LazyOpsTest.TestMaxUnpool2DBackward (46 ms)
2022-11-23T03:26:49.6042482Z [ RUN      ] LazyOpsTest.TestMaxUnpool3DBackward
2022-11-23T03:26:49.6445476Z [       OK ] LazyOpsTest.TestMaxUnpool3DBackward (40 ms)
2022-11-23T03:26:49.6445952Z [ RUN      ] LazyOpsTest.TestTanhBackward
2022-11-23T03:26:49.6468589Z [       OK ] LazyOpsTest.TestTanhBackward (2 ms)
2022-11-23T03:26:49.6469001Z [ RUN      ] LazyOpsTest.TestSigmoidBackward
2022-11-23T03:26:49.6490301Z [       OK ] LazyOpsTest.TestSigmoidBackward (2 ms)
2022-11-23T03:26:49.6490767Z [ RUN      ] LazyOpsTest.TestLogSigmoidBackward
2022-11-23T03:26:49.6513348Z [       OK ] LazyOpsTest.TestLogSigmoidBackward (2 ms)
2022-11-23T03:26:49.6513835Z [ RUN      ] LazyOpsTest.TestLogSoftmaxBackward
2022-11-23T03:26:49.6688472Z [       OK ] LazyOpsTest.TestLogSoftmaxBackward (17 ms)
2022-11-23T03:26:49.6688952Z [ RUN      ] LazyOpsTest.TestSoftmaxBackward
2022-11-23T03:26:49.6863901Z [       OK ] LazyOpsTest.TestSoftmaxBackward (17 ms)
2022-11-23T03:26:49.6864379Z [ RUN      ] LazyOpsTest.TestSoftplusBackward
2022-11-23T03:26:49.6886109Z [       OK ] LazyOpsTest.TestSoftplusBackward (2 ms)
2022-11-23T03:26:49.6886643Z [ RUN      ] LazyOpsTest.TestReluBackward
2022-11-23T03:26:49.6906231Z [       OK ] LazyOpsTest.TestReluBackward (2 ms)
2022-11-23T03:26:49.6906669Z [ RUN      ] LazyOpsTest.TestRreluBackward
2022-11-23T03:26:49.6930631Z [       OK ] LazyOpsTest.TestRreluBackward (2 ms)
2022-11-23T03:26:49.6931086Z [ RUN      ] LazyOpsTest.TestHardshrinkBackward
2022-11-23T03:26:49.6952776Z [       OK ] LazyOpsTest.TestHardshrinkBackward (2 ms)
2022-11-23T03:26:49.6953373Z [ RUN      ] LazyOpsTest.TestSoftshrinkBackward
2022-11-23T03:26:49.6973423Z [       OK ] LazyOpsTest.TestSoftshrinkBackward (2 ms)
2022-11-23T03:26:49.6973867Z [ RUN      ] LazyOpsTest.TestHardtanhBackward
2022-11-23T03:26:49.6988481Z [       OK ] LazyOpsTest.TestHardtanhBackward (1 ms)
2022-11-23T03:26:49.6989015Z [ RUN      ] LazyOpsTest.TestEluBackward
2022-11-23T03:26:49.7014621Z [       OK ] LazyOpsTest.TestEluBackward (2 ms)
2022-11-23T03:26:49.7015063Z [ RUN      ] LazyOpsTest.TestGeluBackward
2022-11-23T03:26:49.7038299Z [       OK ] LazyOpsTest.TestGeluBackward (2 ms)
2022-11-23T03:26:49.7038837Z [ RUN      ] LazyOpsTest.TestLeakyReluBackward
2022-11-23T03:26:49.7059986Z [       OK ] LazyOpsTest.TestLeakyReluBackward (2 ms)
2022-11-23T03:26:49.7060504Z [ RUN      ] LazyOpsTest.TestTransposeBackward
2022-11-23T03:26:49.7081114Z [       OK ] LazyOpsTest.TestTransposeBackward (2 ms)
2022-11-23T03:26:49.7081667Z [ RUN      ] LazyOpsTest.TestAddMatMulBackward
2022-11-23T03:26:49.7226189Z [       OK ] LazyOpsTest.TestAddMatMulBackward (14 ms)
2022-11-23T03:26:49.7226761Z [ RUN      ] LazyOpsTest.TestBinaryCrossEntropyBackward
2022-11-23T03:26:49.7369054Z [       OK ] LazyOpsTest.TestBinaryCrossEntropyBackward (14 ms)
2022-11-23T03:26:49.7369919Z [ RUN      ] LazyOpsTest.TestNllLossBackward
2022-11-23T03:26:49.7370270Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:10965: Skipped
2022-11-23T03:26:49.7370514Z 
2022-11-23T03:26:49.7370779Z [  SKIPPED ] LazyOpsTest.TestNllLossBackward (0 ms)
2022-11-23T03:26:49.7371218Z [ RUN      ] LazyOpsTest.TestNllLoss2dBackward
2022-11-23T03:26:49.8079115Z [       OK ] LazyOpsTest.TestNllLoss2dBackward (70 ms)
2022-11-23T03:26:49.8079659Z [ RUN      ] LazyOpsTest.TestSmoothL1LossBackward
2022-11-23T03:26:49.8227500Z [       OK ] LazyOpsTest.TestSmoothL1LossBackward (14 ms)
2022-11-23T03:26:49.8228419Z [ RUN      ] LazyOpsTest.TestViewBackward
2022-11-23T03:26:49.8269472Z [       OK ] LazyOpsTest.TestViewBackward (4 ms)
2022-11-23T03:26:49.8269985Z [ RUN      ] LazyOpsTest.TestBatchNorm2DBackward
2022-11-23T03:26:49.8395854Z [       OK ] LazyOpsTest.TestBatchNorm2DBackward (12 ms)
2022-11-23T03:26:49.8396382Z [ RUN      ] LazyOpsTest.TestBatchNorm3DBackward
2022-11-23T03:26:49.8521590Z [       OK ] LazyOpsTest.TestBatchNorm3DBackward (12 ms)
2022-11-23T03:26:49.8522112Z [ RUN      ] LazyOpsTest.TestBCEWithLogitsBackward
2022-11-23T03:26:49.9363327Z [       OK ] LazyOpsTest.TestBCEWithLogitsBackward (84 ms)
2022-11-23T03:26:49.9363844Z [ RUN      ] LazyOpsTest.TestKlDivBackward
2022-11-23T03:26:49.9547460Z [       OK ] LazyOpsTest.TestKlDivBackward (18 ms)
2022-11-23T03:26:49.9547948Z [ RUN      ] LazyOpsTest.TestEmbeddingBackward
2022-11-23T03:26:50.1410715Z [       OK ] LazyOpsTest.TestEmbeddingBackward (186 ms)
2022-11-23T03:26:50.1411351Z [ RUN      ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale
2022-11-23T03:26:50.1411905Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:11342: Skipped
2022-11-23T03:26:50.1412041Z 
2022-11-23T03:26:50.1412969Z [  SKIPPED ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale (0 ms)
2022-11-23T03:26:50.1413430Z [ RUN      ] LazyOpsTest.TestAmpUpdateScale
2022-11-23T03:26:50.1444710Z [       OK ] LazyOpsTest.TestAmpUpdateScale (3 ms)
2022-11-23T03:26:50.1445329Z [ RUN      ] LazyOpsTest.TestEarlySyncLiveTensors
2022-11-23T03:26:50.1445759Z [       OK ] LazyOpsTest.TestEarlySyncLiveTensors (0 ms)
2022-11-23T03:26:50.1446250Z [ RUN      ] LazyOpsTest.TestLerp
2022-11-23T03:26:50.1450353Z [       OK ] LazyOpsTest.TestLerp (0 ms)
2022-11-23T03:26:50.1450724Z [ RUN      ] LazyOpsTest.TestLerpScalar
2022-11-23T03:26:50.1454337Z [       OK ] LazyOpsTest.TestLerpScalar (0 ms)
2022-11-23T03:26:50.1454691Z [ RUN      ] LazyOpsTest.TestLerpInplace
2022-11-23T03:26:50.1459736Z [       OK ] LazyOpsTest.TestLerpInplace (0 ms)
2022-11-23T03:26:50.1460208Z [ RUN      ] LazyOpsTest.TestLerpScalarInplace
2022-11-23T03:26:50.1464336Z [       OK ] LazyOpsTest.TestLerpScalarInplace (0 ms)
2022-11-23T03:26:50.1464733Z [ RUN      ] LazyOpsTest.TestLerpOut
2022-11-23T03:26:50.1469276Z [       OK ] LazyOpsTest.TestLerpOut (0 ms)
2022-11-23T03:26:50.1469669Z [ RUN      ] LazyOpsTest.TestLerpScalarOut
2022-11-23T03:26:50.1474141Z [       OK ] LazyOpsTest.TestLerpScalarOut (0 ms)
2022-11-23T03:26:50.1474860Z [ RUN      ] LazyOpsTest.IsAliasOf
2022-11-23T03:26:50.1476065Z [       OK ] LazyOpsTest.IsAliasOf (0 ms)
2022-11-23T03:26:50.1476760Z [----------] 575 tests from LazyOpsTest (12407 ms total)
2022-11-23T03:26:50.1477061Z 
2022-11-23T03:26:50.1477224Z [----------] Global test environment tear-down
2022-11-23T03:26:50.1565969Z [==========] 612 tests from 10 test suites ran. (12418 ms total)
2022-11-23T03:26:50.1566893Z [  PASSED  ] 595 tests.
2022-11-23T03:26:50.1567512Z [  SKIPPED ] 17 tests, listed below:
2022-11-23T03:26:50.1567952Z [  SKIPPED ] LazyOpsTest.TestInverse
2022-11-23T03:26:50.1568359Z [  SKIPPED ] LazyOpsTest.TestOneIndexPut
2022-11-23T03:26:50.1568815Z [  SKIPPED ] LazyOpsTest.TestOneIndexPutInPlace
2022-11-23T03:26:50.1569290Z [  SKIPPED ] LazyOpsTest.TestOneIndexPutTransfer
2022-11-23T03:26:50.1569719Z [  SKIPPED ] LazyOpsTest.TestMultiIndexPut
2022-11-23T03:26:50.1570182Z [  SKIPPED ] LazyOpsTest.TestMultiIndexPutHeadNull
2022-11-23T03:26:50.1570670Z [  SKIPPED ] LazyOpsTest.TestMultiIndexPutMiddleNull
2022-11-23T03:26:50.1571141Z [  SKIPPED ] LazyOpsTest.TestMultiIndexPutTailNull
2022-11-23T03:26:50.1571953Z [  SKIPPED ] LazyOpsTest.TestMultiIndexPutMiddleBroadcast
2022-11-23T03:26:50.1572480Z [  SKIPPED ] LazyOpsTest.TestMultiIndexPutTailBroadcast
2022-11-23T03:26:50.1572929Z [  SKIPPED ] LazyOpsTest.TestIndexPutImpl
2022-11-23T03:26:50.1573376Z [  SKIPPED ] LazyOpsTest.TestIndexCopyInPlace
2022-11-23T03:26:50.1573797Z [  SKIPPED ] LazyOpsTest.TestNllLoss
2022-11-23T03:26:50.1574274Z [  SKIPPED ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatchBackward
2022-11-23T03:26:50.1574818Z [  SKIPPED ] LazyOpsTest.TestAdaptiveAvgPool3DBackward
2022-11-23T03:26:50.1575291Z [  SKIPPED ] LazyOpsTest.TestNllLossBackward
2022-11-23T03:26:50.1575810Z [  SKIPPED ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale
2022-11-23T03:26:50.6892867Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *-tsan* ]]
2022-11-23T03:26:50.6893312Z + python test/cpp/jit/tests_setup.py shutdown
2022-11-23T03:26:53.1237679Z + wait
2022-11-23T03:26:53.1238208Z + OMP_NUM_THREADS=2
2022-11-23T03:26:53.1238472Z + TORCH_CPP_TEST_MNIST_PATH=test/cpp/api/mnist
2022-11-23T03:26:53.1239338Z + /opt/conda/lib/python3.10/site-packages/torch/bin/test_api '--gtest_filter=-IMethodTest.*' --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_api.xml
2022-11-23T03:26:53.6372561Z Only one CUDA device detected. Disabling MultiCUDA tests
2022-11-23T03:26:53.6382940Z Note: Google Test filter = -IMethodTest.*:*_MultiCUDA
2022-11-23T03:26:53.6383829Z [==========] Running 1035 tests from 49 test suites.
2022-11-23T03:26:53.6384606Z [----------] Global test environment set-up.
2022-11-23T03:26:53.6385506Z [----------] 9 tests from AutogradAPITests
2022-11-23T03:26:53.6386351Z [ RUN      ] AutogradAPITests.BackwardSimpleTest
2022-11-23T03:26:53.6409747Z [       OK ] AutogradAPITests.BackwardSimpleTest (2 ms)
2022-11-23T03:26:53.6410843Z [ RUN      ] AutogradAPITests.BackwardTest
2022-11-23T03:26:53.6412497Z [W engine.cpp:1127] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator())
2022-11-23T03:26:53.6414329Z [       OK ] AutogradAPITests.BackwardTest (0 ms)
2022-11-23T03:26:53.6415258Z [ RUN      ] AutogradAPITests.GradSimpleTest
2022-11-23T03:26:53.6419000Z [       OK ] AutogradAPITests.GradSimpleTest (0 ms)
2022-11-23T03:26:53.6419932Z [ RUN      ] AutogradAPITests.GradTest
2022-11-23T03:26:53.6426706Z [       OK ] AutogradAPITests.GradTest (0 ms)
2022-11-23T03:26:53.6427632Z [ RUN      ] AutogradAPITests.GradNonLeafTest
2022-11-23T03:26:53.6432073Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad)
2022-11-23T03:26:53.6435517Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad)
2022-11-23T03:26:53.6438994Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad)
2022-11-23T03:26:53.6442923Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad)
2022-11-23T03:26:53.6444818Z [       OK ] AutogradAPITests.GradNonLeafTest (1 ms)
2022-11-23T03:26:53.6445730Z [ RUN      ] AutogradAPITests.GradUnreachableTest
2022-11-23T03:26:53.6480844Z [       OK ] AutogradAPITests.GradUnreachableTest (3 ms)
2022-11-23T03:26:53.6481868Z [ RUN      ] AutogradAPITests.EmptyInput
2022-11-23T03:26:53.6515979Z [       OK ] AutogradAPITests.EmptyInput (3 ms)
2022-11-23T03:26:53.6516952Z [ RUN      ] AutogradAPITests.RetainGrad
2022-11-23T03:26:53.6524209Z [       OK ] AutogradAPITests.RetainGrad (1 ms)
2022-11-23T03:26:53.6525197Z [ RUN      ] AutogradAPITests.AnomalyMode
2022-11-23T03:26:53.6526306Z [W anomaly_mode.cpp:27] Warning: This mode should be enabled only for debugging as the different tests will slow down your program execution. (function operator())
2022-11-23T03:26:53.8409098Z [       OK ] AutogradAPITests.AnomalyMode (188 ms)
2022-11-23T03:26:53.8410070Z [----------] 9 tests from AutogradAPITests (202 ms total)
2022-11-23T03:26:53.8410293Z 
2022-11-23T03:26:53.8410657Z [----------] 33 tests from CustomAutogradTest
2022-11-23T03:26:53.8411322Z [ RUN      ] CustomAutogradTest.GradUnreachableDiscoveryTest
2022-11-23T03:26:53.8412085Z [       OK ] CustomAutogradTest.GradUnreachableDiscoveryTest (0 ms)
2022-11-23T03:26:53.8412677Z [ RUN      ] CustomAutogradTest.CustomFunction
2022-11-23T03:26:53.8413248Z [       OK ] CustomAutogradTest.CustomFunction (0 ms)
2022-11-23T03:26:53.8413785Z [ RUN      ] CustomAutogradTest.CustomFunctionWithTensorList
2022-11-23T03:26:53.8414259Z [       OK ] CustomAutogradTest.CustomFunctionWithTensorList (0 ms)
2022-11-23T03:26:53.8414746Z [ RUN      ] CustomAutogradTest.GraphTaskTrimEdges
2022-11-23T03:26:53.8419716Z [       OK ] CustomAutogradTest.GraphTaskTrimEdges (0 ms)
2022-11-23T03:26:53.8420221Z [ RUN      ] CustomAutogradTest.FunctionReturnsInput
2022-11-23T03:26:53.8420746Z [       OK ] CustomAutogradTest.FunctionReturnsInput (0 ms)
2022-11-23T03:26:53.8421260Z [ RUN      ] CustomAutogradTest.FunctionReturnsUndefined
2022-11-23T03:26:53.8425053Z [       OK ] CustomAutogradTest.FunctionReturnsUndefined (0 ms)
2022-11-23T03:26:53.8425829Z [ RUN      ] CustomAutogradTest.MaterializeGrads
2022-11-23T03:26:53.8426347Z [       OK ] CustomAutogradTest.MaterializeGrads (0 ms)
2022-11-23T03:26:53.8426982Z [ RUN      ] CustomAutogradTest.DontMaterializeGrads
2022-11-23T03:26:53.8427765Z [       OK ] CustomAutogradTest.DontMaterializeGrads (0 ms)
2022-11-23T03:26:53.8428197Z [ RUN      ] CustomAutogradTest.NoGradCustomFunction
2022-11-23T03:26:53.8428703Z [       OK ] CustomAutogradTest.NoGradCustomFunction (0 ms)
2022-11-23T03:26:53.8429172Z [ RUN      ] CustomAutogradTest.MarkDirty
2022-11-23T03:26:53.8429848Z [       OK ] CustomAutogradTest.MarkDirty (0 ms)
2022-11-23T03:26:53.8430452Z [ RUN      ] CustomAutogradTest.MarkNonDifferentiable
2022-11-23T03:26:53.8431483Z [       OK ] CustomAutogradTest.MarkNonDifferentiable (0 ms)
2022-11-23T03:26:53.8432059Z [ RUN      ] CustomAutogradTest.MarkNonDifferentiableMixed
2022-11-23T03:26:53.8435276Z [       OK ] CustomAutogradTest.MarkNonDifferentiableMixed (0 ms)
2022-11-23T03:26:53.8435839Z [ RUN      ] CustomAutogradTest.MarkNonDifferentiableNone
2022-11-23T03:26:53.8436375Z [       OK ] CustomAutogradTest.MarkNonDifferentiableNone (0 ms)
2022-11-23T03:26:53.8436835Z [ RUN      ] CustomAutogradTest.ReturnLeafInplace
2022-11-23T03:26:53.8439336Z [       OK ] CustomAutogradTest.ReturnLeafInplace (0 ms)
2022-11-23T03:26:53.8439829Z [ RUN      ] CustomAutogradTest.ReturnDuplicateInplace
2022-11-23T03:26:53.8470743Z [       OK ] CustomAutogradTest.ReturnDuplicateInplace (2 ms)
2022-11-23T03:26:53.8471593Z [ RUN      ] CustomAutogradTest.ReturnDuplicate
2022-11-23T03:26:53.8472093Z [       OK ] CustomAutogradTest.ReturnDuplicate (0 ms)
2022-11-23T03:26:53.8472643Z [ RUN      ] CustomAutogradTest.SaveEmptyForBackward
2022-11-23T03:26:53.8473125Z [       OK ] CustomAutogradTest.SaveEmptyForBackward (0 ms)
2022-11-23T03:26:53.8473541Z [ RUN      ] CustomAutogradTest.InvalidGradients
2022-11-23T03:26:53.8548712Z [       OK ] CustomAutogradTest.InvalidGradients (7 ms)
2022-11-23T03:26:53.8549811Z [ RUN      ] CustomAutogradTest.NoGradInput
2022-11-23T03:26:53.8550302Z [       OK ] CustomAutogradTest.NoGradInput (0 ms)
2022-11-23T03:26:53.8550784Z [ RUN      ] CustomAutogradTest.TooManyGrads
2022-11-23T03:26:53.8551251Z [       OK ] CustomAutogradTest.TooManyGrads (0 ms)
2022-11-23T03:26:53.8551648Z [ RUN      ] CustomAutogradTest.DepNoGrad
2022-11-23T03:26:53.8552095Z [       OK ] CustomAutogradTest.DepNoGrad (0 ms)
2022-11-23T03:26:53.8552821Z [ RUN      ] CustomAutogradTest.Reentrant
2022-11-23T03:26:53.8554289Z [       OK ] CustomAutogradTest.Reentrant (0 ms)
2022-11-23T03:26:53.8554745Z [ RUN      ] CustomAutogradTest.DeepReentrant
2022-11-23T03:26:54.6478703Z [       OK ] CustomAutogradTest.DeepReentrant (792 ms)
2022-11-23T03:26:54.6479266Z [ RUN      ] CustomAutogradTest.ReentrantPriority
2022-11-23T03:26:54.6485856Z [       OK ] CustomAutogradTest.ReentrantPriority (0 ms)
2022-11-23T03:26:54.6486342Z [ RUN      ] CustomAutogradTest.Hooks
2022-11-23T03:26:54.6521457Z [       OK ] CustomAutogradTest.Hooks (3 ms)
2022-11-23T03:26:54.6522374Z [ RUN      ] CustomAutogradTest.HooksInplace
2022-11-23T03:26:54.6523800Z [       OK ] CustomAutogradTest.HooksInplace (0 ms)
2022-11-23T03:26:54.6524326Z [ RUN      ] CustomAutogradTest.HooksInplaceWithRetainsGrad
2022-11-23T03:26:54.6528931Z [       OK ] CustomAutogradTest.HooksInplaceWithRetainsGrad (0 ms)
2022-11-23T03:26:54.6529576Z [ RUN      ] CustomAutogradTest.HooksInplaceTwiceWithRetainsGrad
2022-11-23T03:26:54.6532476Z [       OK ] CustomAutogradTest.HooksInplaceTwiceWithRetainsGrad (0 ms)
2022-11-23T03:26:54.6533353Z [ RUN      ] CustomAutogradTest.HookNone
2022-11-23T03:26:54.6534296Z [       OK ] CustomAutogradTest.HookNone (0 ms)
2022-11-23T03:26:54.6534753Z [ RUN      ] CustomAutogradTest.BackwardWithInputs
2022-11-23T03:26:54.6537066Z [       OK ] CustomAutogradTest.BackwardWithInputs (0 ms)
2022-11-23T03:26:54.6537611Z [ RUN      ] CustomAutogradTest.BackwardWithEmptyInputs
2022-11-23T03:26:54.6553877Z [       OK ] CustomAutogradTest.BackwardWithEmptyInputs (1 ms)
2022-11-23T03:26:54.6554460Z [ RUN      ] CustomAutogradTest.BackwardWithNonLeafInputs
2022-11-23T03:26:54.6556053Z [       OK ] CustomAutogradTest.BackwardWithNonLeafInputs (0 ms)
2022-11-23T03:26:54.6556768Z [ RUN      ] CustomAutogradTest.BackwardWithCreateGraphWarns
2022-11-23T03:26:54.6558245Z [       OK ] CustomAutogradTest.BackwardWithCreateGraphWarns (0 ms)
2022-11-23T03:26:54.6558797Z [----------] 33 tests from CustomAutogradTest (815 ms total)
2022-11-23T03:26:54.6559037Z 
2022-11-23T03:26:54.6559331Z [----------] 13 tests from TestAutogradNotImplementedFallback
2022-11-23T03:26:54.6559894Z [ RUN      ] TestAutogradNotImplementedFallback.RetSingleNonTensor
2022-11-23T03:26:54.6563486Z [       OK ] TestAutogradNotImplementedFallback.RetSingleNonTensor (0 ms)
2022-11-23T03:26:54.6564082Z [ RUN      ] TestAutogradNotImplementedFallback.InplaceOp
2022-11-23T03:26:54.6625738Z [       OK ] TestAutogradNotImplementedFallback.InplaceOp (5 ms)
2022-11-23T03:26:54.6626365Z [ RUN      ] TestAutogradNotImplementedFallback.DoubleInplaceOp
2022-11-23T03:26:54.6674946Z [       OK ] TestAutogradNotImplementedFallback.DoubleInplaceOp (4 ms)
2022-11-23T03:26:54.6675557Z [ RUN      ] TestAutogradNotImplementedFallback.OptOp
2022-11-23T03:26:54.6677533Z [       OK ] TestAutogradNotImplementedFallback.OptOp (0 ms)
2022-11-23T03:26:54.6678130Z [ RUN      ] TestAutogradNotImplementedFallback.OutOfPlaceAddition
2022-11-23T03:26:54.6723482Z [       OK ] TestAutogradNotImplementedFallback.OutOfPlaceAddition (4 ms)
2022-11-23T03:26:54.6724504Z [ RUN      ] TestAutogradNotImplementedFallback.RetTupleNonTensor
2022-11-23T03:26:54.6768817Z [       OK ] TestAutogradNotImplementedFallback.RetTupleNonTensor (4 ms)
2022-11-23T03:26:54.6769489Z [ RUN      ] TestAutogradNotImplementedFallback.ViewOp
2022-11-23T03:26:54.6850022Z [       OK ] TestAutogradNotImplementedFallback.ViewOp (8 ms)
2022-11-23T03:26:54.6850676Z [ RUN      ] TestAutogradNotImplementedFallback.ViewOpWithExtraArg
2022-11-23T03:26:54.6893891Z [       OK ] TestAutogradNotImplementedFallback.ViewOpWithExtraArg (4 ms)
2022-11-23T03:26:54.6894683Z [ RUN      ] TestAutogradNotImplementedFallback.RetTensorVectorView
2022-11-23T03:26:54.6895336Z [       OK ] TestAutogradNotImplementedFallback.RetTensorVectorView (0 ms)
2022-11-23T03:26:54.6895936Z [ RUN      ] TestAutogradNotImplementedFallback.DoubleViewOP
2022-11-23T03:26:54.6922737Z [       OK ] TestAutogradNotImplementedFallback.DoubleViewOP (2 ms)
2022-11-23T03:26:54.6923413Z [ RUN      ] TestAutogradNotImplementedFallback.NonFirstViewOP
2022-11-23T03:26:54.6962056Z [       OK ] TestAutogradNotImplementedFallback.NonFirstViewOP (3 ms)
2022-11-23T03:26:54.6962711Z [ RUN      ] TestAutogradNotImplementedFallback.RetTensorVector
2022-11-23T03:26:54.7006405Z [       OK ] TestAutogradNotImplementedFallback.RetTensorVector (4 ms)
2022-11-23T03:26:54.7007057Z [ RUN      ] TestAutogradNotImplementedFallback.TensorlistOp
2022-11-23T03:26:54.7041217Z [       OK ] TestAutogradNotImplementedFallback.TensorlistOp (3 ms)
2022-11-23T03:26:54.7042188Z [----------] 13 tests from TestAutogradNotImplementedFallback (47 ms total)
2022-11-23T03:26:54.7042508Z 
2022-11-23T03:26:54.7042755Z [----------] 18 tests from AnyModuleTest
2022-11-23T03:26:54.7043463Z [ RUN      ] AnyModuleTest.SimpleReturnType
2022-11-23T03:26:54.7043938Z [       OK ] AnyModuleTest.SimpleReturnType (0 ms)
2022-11-23T03:26:54.7044520Z [ RUN      ] AnyModuleTest.SimpleReturnTypeAndSingleArgument
2022-11-23T03:26:54.7045095Z [       OK ] AnyModuleTest.SimpleReturnTypeAndSingleArgument (0 ms)
2022-11-23T03:26:54.7045671Z [ RUN      ] AnyModuleTest.StringLiteralReturnTypeAndArgument
2022-11-23T03:26:54.7046185Z [       OK ] AnyModuleTest.StringLiteralReturnTypeAndArgument (0 ms)
2022-11-23T03:26:54.7046774Z [ RUN      ] AnyModuleTest.StringReturnTypeWithConstArgument
2022-11-23T03:26:54.7047325Z [       OK ] AnyModuleTest.StringReturnTypeWithConstArgument (0 ms)
2022-11-23T03:26:54.7048373Z [ RUN      ] AnyModuleTest.TensorReturnTypeAndStringArgumentsWithFunkyQualifications
2022-11-23T03:26:54.7049193Z [       OK ] AnyModuleTest.TensorReturnTypeAndStringArgumentsWithFunkyQualifications (0 ms)
2022-11-23T03:26:54.7049750Z [ RUN      ] AnyModuleTest.WrongArgumentType
2022-11-23T03:26:54.7058968Z [       OK ] AnyModuleTest.WrongArgumentType (1 ms)
2022-11-23T03:26:54.7059742Z [ RUN      ] AnyModuleTest.WrongNumberOfArguments
2022-11-23T03:26:54.7103623Z [       OK ] AnyModuleTest.WrongNumberOfArguments (4 ms)
2022-11-23T03:26:54.7104502Z [ RUN      ] AnyModuleTest.PassingArgumentsToModuleWithDefaultArgumentsInForwardMethod
2022-11-23T03:26:54.7188945Z [       OK ] AnyModuleTest.PassingArgumentsToModuleWithDefaultArgumentsInForwardMethod (8 ms)
2022-11-23T03:26:54.7189556Z [ RUN      ] AnyModuleTest.GetWithCorrectTypeSucceeds
2022-11-23T03:26:54.7190080Z [       OK ] AnyModuleTest.GetWithCorrectTypeSucceeds (0 ms)
2022-11-23T03:26:54.7190625Z [ RUN      ] AnyModuleTest.GetWithIncorrectTypeThrows
2022-11-23T03:26:54.7198876Z [       OK ] AnyModuleTest.GetWithIncorrectTypeThrows (1 ms)
2022-11-23T03:26:54.7199496Z [ RUN      ] AnyModuleTest.PtrWithBaseClassSucceeds
2022-11-23T03:26:54.7199999Z [       OK ] AnyModuleTest.PtrWithBaseClassSucceeds (0 ms)
2022-11-23T03:26:54.7200814Z [ RUN      ] AnyModuleTest.PtrWithGoodDowncastSuccceeds
2022-11-23T03:26:54.7201361Z [       OK ] AnyModuleTest.PtrWithGoodDowncastSuccceeds (0 ms)
2022-11-23T03:26:54.7201876Z [ RUN      ] AnyModuleTest.PtrWithBadDowncastThrows
2022-11-23T03:26:54.7212275Z [       OK ] AnyModuleTest.PtrWithBadDowncastThrows (1 ms)
2022-11-23T03:26:54.7213042Z [ RUN      ] AnyModuleTest.DefaultStateIsEmpty
2022-11-23T03:26:54.7213433Z [       OK ] AnyModuleTest.DefaultStateIsEmpty (0 ms)
2022-11-23T03:26:54.7214219Z [ RUN      ] AnyModuleTest.AllMethodsThrowForEmptyAnyModule
2022-11-23T03:26:54.7276915Z [       OK ] AnyModuleTest.AllMethodsThrowForEmptyAnyModule (6 ms)
2022-11-23T03:26:54.7278280Z [ RUN      ] AnyModuleTest.CanMoveAssignDifferentModules
2022-11-23T03:26:54.7278984Z [       OK ] AnyModuleTest.CanMoveAssignDifferentModules (0 ms)
2022-11-23T03:26:54.7279575Z [ RUN      ] AnyModuleTest.ConstructsFromModuleHolder
2022-11-23T03:26:54.7280102Z [       OK ] AnyModuleTest.ConstructsFromModuleHolder (0 ms)
2022-11-23T03:26:54.7280624Z [ RUN      ] AnyModuleTest.ConvertsVariableToTensorCorrectly
2022-11-23T03:26:54.7281194Z [       OK ] AnyModuleTest.ConvertsVariableToTensorCorrectly (0 ms)
2022-11-23T03:26:54.7281720Z [----------] 18 tests from AnyModuleTest (23 ms total)
2022-11-23T03:26:54.7281942Z 
2022-11-23T03:26:54.7282133Z [----------] 12 tests from AnyValueTest
2022-11-23T03:26:54.7282621Z [ RUN      ] AnyValueTest.CorrectlyAccessesIntWhenCorrectType
2022-11-23T03:26:54.7283218Z [       OK ] AnyValueTest.CorrectlyAccessesIntWhenCorrectType (0 ms)
2022-11-23T03:26:54.7283837Z [ RUN      ] AnyValueTest.CorrectlyAccessesStringLiteralWhenCorrectType
2022-11-23T03:26:54.7284475Z [       OK ] AnyValueTest.CorrectlyAccessesStringLiteralWhenCorrectType (0 ms)
2022-11-23T03:26:54.7285106Z [ RUN      ] AnyValueTest.CorrectlyAccessesStringWhenCorrectType
2022-11-23T03:26:54.7285711Z [       OK ] AnyValueTest.CorrectlyAccessesStringWhenCorrectType (0 ms)
2022-11-23T03:26:54.7286294Z [ RUN      ] AnyValueTest.CorrectlyAccessesPointersWhenCorrectType
2022-11-23T03:26:54.7286920Z [       OK ] AnyValueTest.CorrectlyAccessesPointersWhenCorrectType (0 ms)
2022-11-23T03:26:54.7287549Z [ RUN      ] AnyValueTest.CorrectlyAccessesReferencesWhenCorrectType
2022-11-23T03:26:54.7288186Z [       OK ] AnyValueTest.CorrectlyAccessesReferencesWhenCorrectType (0 ms)
2022-11-23T03:26:54.7289328Z [ RUN      ] AnyValueTest.TryGetReturnsNullptrForTheWrongType
2022-11-23T03:26:54.7289913Z [       OK ] AnyValueTest.TryGetReturnsNullptrForTheWrongType (0 ms)
2022-11-23T03:26:54.7290443Z [ RUN      ] AnyValueTest.GetThrowsForTheWrongType
2022-11-23T03:26:54.7304808Z [       OK ] AnyValueTest.GetThrowsForTheWrongType (2 ms)
2022-11-23T03:26:54.7305676Z [ RUN      ] AnyValueTest.MoveConstructionIsAllowed
2022-11-23T03:26:54.7306206Z [       OK ] AnyValueTest.MoveConstructionIsAllowed (0 ms)
2022-11-23T03:26:54.7306689Z [ RUN      ] AnyValueTest.MoveAssignmentIsAllowed
2022-11-23T03:26:54.7307244Z [       OK ] AnyValueTest.MoveAssignmentIsAllowed (0 ms)
2022-11-23T03:26:54.7307879Z [ RUN      ] AnyValueTest.TypeInfoIsCorrectForInt
2022-11-23T03:26:54.7308345Z [       OK ] AnyValueTest.TypeInfoIsCorrectForInt (0 ms)
2022-11-23T03:26:54.7308863Z [ RUN      ] AnyValueTest.TypeInfoIsCorrectForStringLiteral
2022-11-23T03:26:54.7309443Z [       OK ] AnyValueTest.TypeInfoIsCorrectForStringLiteral (0 ms)
2022-11-23T03:26:54.7309972Z [ RUN      ] AnyValueTest.TypeInfoIsCorrectForString
2022-11-23T03:26:54.7310482Z [       OK ] AnyValueTest.TypeInfoIsCorrectForString (0 ms)
2022-11-23T03:26:54.7311230Z [----------] 12 tests from AnyValueTest (2 ms total)
2022-11-23T03:26:54.7311464Z 
2022-11-23T03:26:54.7311669Z [----------] 50 tests from DataTest
2022-11-23T03:26:54.7312079Z [ RUN      ] DataTest.DatasetCallsGetCorrectly
2022-11-23T03:26:54.7312526Z [       OK ] DataTest.DatasetCallsGetCorrectly (0 ms)
2022-11-23T03:26:54.7313012Z [ RUN      ] DataTest.TransformCallsGetApplyCorrectly
2022-11-23T03:26:54.7313531Z [       OK ] DataTest.TransformCallsGetApplyCorrectly (0 ms)
2022-11-23T03:26:54.7314062Z [ RUN      ] DataTest.ChunkDataSetWithInvalidInitParameter
2022-11-23T03:26:54.7377903Z [       OK ] DataTest.ChunkDataSetWithInvalidInitParameter (6 ms)
2022-11-23T03:26:54.7378472Z [ RUN      ] DataTest.InfiniteStreamDataset
2022-11-23T03:26:54.7379288Z [       OK ] DataTest.InfiniteStreamDataset (0 ms)
2022-11-23T03:26:54.7379921Z [ RUN      ] DataTest.NoSequencerIsIdentity
2022-11-23T03:26:54.7380394Z [       OK ] DataTest.NoSequencerIsIdentity (0 ms)
2022-11-23T03:26:54.7380850Z [ RUN      ] DataTest.OrderedSequencerIsSetUpWell
2022-11-23T03:26:54.7381328Z [       OK ] DataTest.OrderedSequencerIsSetUpWell (0 ms)
2022-11-23T03:26:54.7381802Z [ RUN      ] DataTest.OrderedSequencerReOrdersValues
2022-11-23T03:26:54.7382308Z [       OK ] DataTest.OrderedSequencerReOrdersValues (0 ms)
2022-11-23T03:26:54.7382827Z [ RUN      ] DataTest.BatchLambdaAppliesFunctionToBatch
2022-11-23T03:26:54.7383338Z [       OK ] DataTest.BatchLambdaAppliesFunctionToBatch (0 ms)
2022-11-23T03:26:54.7383868Z [ RUN      ] DataTest.LambdaAppliesFunctionToExample
2022-11-23T03:26:54.7384376Z [       OK ] DataTest.LambdaAppliesFunctionToExample (0 ms)
2022-11-23T03:26:54.7384837Z [ RUN      ] DataTest.CollateReducesBatch
2022-11-23T03:26:54.7385248Z [       OK ] DataTest.CollateReducesBatch (0 ms)
2022-11-23T03:26:54.7385677Z [ RUN      ] DataTest.CollationReducesBatch
2022-11-23T03:26:54.7386123Z [       OK ] DataTest.CollationReducesBatch (0 ms)
2022-11-23T03:26:54.7386613Z [ RUN      ] DataTest.SequentialSamplerReturnsIndicesInOrder
2022-11-23T03:26:54.7387185Z [       OK ] DataTest.SequentialSamplerReturnsIndicesInOrder (0 ms)
2022-11-23T03:26:54.7387783Z [ RUN      ] DataTest.SequentialSamplerReturnsLessValuesForLastBatch
2022-11-23T03:26:54.7388401Z [       OK ] DataTest.SequentialSamplerReturnsLessValuesForLastBatch (0 ms)
2022-11-23T03:26:54.7388963Z [ RUN      ] DataTest.SequentialSamplerResetsWell
2022-11-23T03:26:54.7389783Z [       OK ] DataTest.SequentialSamplerResetsWell (0 ms)
2022-11-23T03:26:54.7390311Z [ RUN      ] DataTest.SequentialSamplerResetsWithNewSizeWell
2022-11-23T03:26:54.7390867Z [       OK ] DataTest.SequentialSamplerResetsWithNewSizeWell (0 ms)
2022-11-23T03:26:54.7391404Z [ RUN      ] DataTest.CanSaveAndLoadSequentialSampler
2022-11-23T03:26:54.7630316Z [       OK ] DataTest.CanSaveAndLoadSequentialSampler (24 ms)
2022-11-23T03:26:54.7630997Z [ RUN      ] DataTest.RandomSamplerReturnsIndicesInCorrectRange
2022-11-23T03:26:54.7631623Z [       OK ] DataTest.RandomSamplerReturnsIndicesInCorrectRange (0 ms)
2022-11-23T03:26:54.7632292Z [ RUN      ] DataTest.RandomSamplerReturnsLessValuesForLastBatch
2022-11-23T03:26:54.7632890Z [       OK ] DataTest.RandomSamplerReturnsLessValuesForLastBatch (0 ms)
2022-11-23T03:26:54.7633484Z [ RUN      ] DataTest.RandomSamplerResetsWell
2022-11-23T03:26:54.7633928Z [       OK ] DataTest.RandomSamplerResetsWell (0 ms)
2022-11-23T03:26:54.7634491Z [ RUN      ] DataTest.RandomSamplerResetsWithNewSizeWell
2022-11-23T03:26:54.7635291Z [       OK ] DataTest.RandomSamplerResetsWithNewSizeWell (0 ms)
2022-11-23T03:26:54.7635851Z [ RUN      ] DataTest.SavingAndLoadingRandomSamplerYieldsSameSequence
2022-11-23T03:26:54.7636866Z [       OK ] DataTest.SavingAndLoadingRandomSamplerYieldsSameSequence (0 ms)
2022-11-23T03:26:54.7637552Z [ RUN      ] DataTest.StreamSamplerReturnsTheBatchSizeAndThenRemainder
2022-11-23T03:26:54.7638169Z [       OK ] DataTest.StreamSamplerReturnsTheBatchSizeAndThenRemainder (0 ms)
2022-11-23T03:26:54.7638752Z [ RUN      ] DataTest.StreamSamplerResetsWell
2022-11-23T03:26:54.7639211Z [       OK ] DataTest.StreamSamplerResetsWell (0 ms)
2022-11-23T03:26:54.7639709Z [ RUN      ] DataTest.StreamSamplerResetsWithNewSizeWell
2022-11-23T03:26:54.7640195Z [       OK ] DataTest.StreamSamplerResetsWithNewSizeWell (0 ms)
2022-11-23T03:26:54.7640755Z [ RUN      ] DataTest.TensorDatasetConstructsFromSingleTensor
2022-11-23T03:26:54.7641330Z [       OK ] DataTest.TensorDatasetConstructsFromSingleTensor (0 ms)
2022-11-23T03:26:54.7641935Z [ RUN      ] DataTest.TensorDatasetConstructsFromInitializerListOfTensors
2022-11-23T03:26:54.7642628Z [       OK ] DataTest.TensorDatasetConstructsFromInitializerListOfTensors (0 ms)
2022-11-23T03:26:54.7643268Z [ RUN      ] DataTest.StackTransformWorksForExample
2022-11-23T03:26:54.7643819Z [       OK ] DataTest.StackTransformWorksForExample (0 ms)
2022-11-23T03:26:54.7644316Z [ RUN      ] DataTest.StackTransformWorksForTensorExample
2022-11-23T03:26:54.7645426Z [       OK ] DataTest.StackTransformWorksForTensorExample (0 ms)
2022-11-23T03:26:54.7645976Z [ RUN      ] DataTest.TensorTransformWorksForAnyTargetType
2022-11-23T03:26:54.7646718Z [       OK ] DataTest.TensorTransformWorksForAnyTargetType (0 ms)
2022-11-23T03:26:54.7647258Z [ RUN      ] DataTest.TensorLambdaWorksforAnyTargetType
2022-11-23T03:26:54.7649043Z [       OK ] DataTest.TensorLambdaWorksforAnyTargetType (0 ms)
2022-11-23T03:26:54.7649484Z [ RUN      ] DataTest.NormalizeTransform
2022-11-23T03:26:54.7656396Z [       OK ] DataTest.NormalizeTransform (0 ms)
2022-11-23T03:26:54.7657621Z [ RUN      ] DataTest.MapDoesNotCopy
2022-11-23T03:26:54.7657993Z [       OK ] DataTest.MapDoesNotCopy (0 ms)
2022-11-23T03:26:54.7658454Z [ RUN      ] DataTest.QueuePushAndPopFromSameThread
2022-11-23T03:26:54.7658938Z [       OK ] DataTest.QueuePushAndPopFromSameThread (0 ms)
2022-11-23T03:26:54.7659454Z [ RUN      ] DataTest.QueuePopWithTimeoutThrowsUponTimeout
2022-11-23T03:26:54.7777136Z [       OK ] DataTest.QueuePopWithTimeoutThrowsUponTimeout (11 ms)
2022-11-23T03:26:54.7778187Z [ RUN      ] DataTest.QueuePushAndPopFromDifferentThreads
2022-11-23T03:26:54.7984477Z [       OK ] DataTest.QueuePushAndPopFromDifferentThreads (20 ms)
2022-11-23T03:26:54.7985053Z [ RUN      ] DataTest.QueueClearEmptiesTheQueue
2022-11-23T03:26:54.8009451Z [       OK ] DataTest.QueueClearEmptiesTheQueue (2 ms)
2022-11-23T03:26:54.8010522Z [ RUN      ] DataTest.DataShuttleCanPushAndPopJob
2022-11-23T03:26:54.8011331Z [       OK ] DataTest.DataShuttleCanPushAndPopJob (0 ms)
2022-11-23T03:26:54.8011832Z [ RUN      ] DataTest.DataShuttleCanPushAndPopResult
2022-11-23T03:26:54.8012346Z [       OK ] DataTest.DataShuttleCanPushAndPopResult (0 ms)
2022-11-23T03:26:54.8012939Z [ RUN      ] DataTest.DataShuttlePopResultReturnsNulloptWhenNoJobsInFlight
2022-11-23T03:26:54.8013638Z [       OK ] DataTest.DataShuttlePopResultReturnsNulloptWhenNoJobsInFlight (0 ms)
2022-11-23T03:26:54.8014289Z [ RUN      ] DataTest.DataShuttleDrainMeansPopResultReturnsNullopt
2022-11-23T03:26:54.8014905Z [       OK ] DataTest.DataShuttleDrainMeansPopResultReturnsNullopt (0 ms)
2022-11-23T03:26:54.8015456Z [ RUN      ] DataTest.DataShuttlePopResultTimesOut
2022-11-23T03:26:54.8125721Z [       OK ] DataTest.DataShuttlePopResultTimesOut (11 ms)
2022-11-23T03:26:54.8126616Z [ RUN      ] DataTest.SharedBatchDatasetReallyIsShared
2022-11-23T03:26:54.8153838Z [       OK ] DataTest.SharedBatchDatasetReallyIsShared (2 ms)
2022-11-23T03:26:54.8154788Z [ RUN      ] DataTest.SharedBatchDatasetDoesNotIncurCopyWhenPassedDatasetObject
2022-11-23T03:26:54.8155446Z [       OK ] DataTest.SharedBatchDatasetDoesNotIncurCopyWhenPassedDatasetObject (0 ms)
2022-11-23T03:26:54.8156033Z [ RUN      ] DataTest.CanUseCustomTypeAsIndexType
2022-11-23T03:26:54.8156505Z [       OK ] DataTest.CanUseCustomTypeAsIndexType (0 ms)
2022-11-23T03:26:54.8157163Z [ RUN      ] DataTest.DistributedRandomSamplerSingleReplicaProduceCorrectSamples
2022-11-23T03:26:54.8157945Z [       OK ] DataTest.DistributedRandomSamplerSingleReplicaProduceCorrectSamples (0 ms)
2022-11-23T03:26:54.8158647Z [ RUN      ] DataTest.DistributedRandomSamplerMultiReplicaProduceCorrectSamples
2022-11-23T03:26:54.8159440Z [       OK ] DataTest.DistributedRandomSamplerMultiReplicaProduceCorrectSamples (0 ms)
2022-11-23T03:26:54.8160066Z [ RUN      ] DataTest.CanSaveAndLoadDistributedRandomSampler
2022-11-23T03:26:54.8164588Z [       OK ] DataTest.CanSaveAndLoadDistributedRandomSampler (1 ms)
2022-11-23T03:26:54.8165344Z [ RUN      ] DataTest.DistributedSequentialSamplerSingleReplicaProduceCorrectSamples
2022-11-23T03:26:54.8166093Z [       OK ] DataTest.DistributedSequentialSamplerSingleReplicaProduceCorrectSamples (0 ms)
2022-11-23T03:26:54.8166990Z [ RUN      ] DataTest.DistributedSequentialSamplerMultiReplicaProduceCorrectSamples
2022-11-23T03:26:54.8168443Z [       OK ] DataTest.DistributedSequentialSamplerMultiReplicaProduceCorrectSamples (0 ms)
2022-11-23T03:26:54.8169141Z [ RUN      ] DataTest.CanSaveAndLoadDistributedSequentialSampler
2022-11-23T03:26:54.8169734Z [       OK ] DataTest.CanSaveAndLoadDistributedSequentialSampler (0 ms)
2022-11-23T03:26:54.8170705Z [----------] 50 tests from DataTest (86 ms total)
2022-11-23T03:26:54.8170995Z 
2022-11-23T03:26:54.8171184Z [----------] 37 tests from DataLoaderTest
2022-11-23T03:26:54.8171530Z [ RUN      ] DataLoaderTest.DataLoaderOptionsDefaultAsExpected
2022-11-23T03:26:54.8172128Z [       OK ] DataLoaderTest.DataLoaderOptionsDefaultAsExpected (0 ms)
2022-11-23T03:26:54.8172739Z [ RUN      ] DataLoaderTest.DataLoaderOptionsCoalesceOptionalValues
2022-11-23T03:26:54.8173349Z [       OK ] DataLoaderTest.DataLoaderOptionsCoalesceOptionalValues (0 ms)
2022-11-23T03:26:54.8174464Z [ RUN      ] DataLoaderTest.MakeDataLoaderDefaultsAsExpected
2022-11-23T03:26:54.8175036Z [       OK ] DataLoaderTest.MakeDataLoaderDefaultsAsExpected (0 ms)
2022-11-23T03:26:54.8175728Z [ RUN      ] DataLoaderTest.MakeDataLoaderThrowsWhenConstructingSamplerWithUnsizedDataset
2022-11-23T03:26:54.8184687Z [       OK ] DataLoaderTest.MakeDataLoaderThrowsWhenConstructingSamplerWithUnsizedDataset (1 ms)
2022-11-23T03:26:54.8186257Z [ RUN      ] DataLoaderTest.IteratorsCompareEqualToThemselves
2022-11-23T03:26:54.8186818Z [       OK ] DataLoaderTest.IteratorsCompareEqualToThemselves (0 ms)
2022-11-23T03:26:54.8187401Z [ RUN      ] DataLoaderTest.ValidIteratorsCompareUnequalToEachOther
2022-11-23T03:26:54.8188034Z [       OK ] DataLoaderTest.ValidIteratorsCompareUnequalToEachOther (0 ms)
2022-11-23T03:26:54.8188726Z [ RUN      ] DataLoaderTest.SentinelIteratorsCompareEqualToEachOther
2022-11-23T03:26:54.8189295Z [       OK ] DataLoaderTest.SentinelIteratorsCompareEqualToEachOther (0 ms)
2022-11-23T03:26:54.8189936Z [ RUN      ] DataLoaderTest.IteratorsCompareEqualToSentinelWhenExhausted
2022-11-23T03:26:54.8190608Z [       OK ] DataLoaderTest.IteratorsCompareEqualToSentinelWhenExhausted (0 ms)
2022-11-23T03:26:54.8191166Z [ RUN      ] DataLoaderTest.IteratorsShareState
2022-11-23T03:26:54.8191808Z [       OK ] DataLoaderTest.IteratorsShareState (0 ms)
2022-11-23T03:26:54.8192360Z [ RUN      ] DataLoaderTest.CanDereferenceIteratorMultipleTimes
2022-11-23T03:26:54.8192955Z [       OK ] DataLoaderTest.CanDereferenceIteratorMultipleTimes (0 ms)
2022-11-23T03:26:54.8193493Z [ RUN      ] DataLoaderTest.CanUseIteratorAlgorithms
2022-11-23T03:26:54.8193981Z [       OK ] DataLoaderTest.CanUseIteratorAlgorithms (0 ms)
2022-11-23T03:26:54.8194584Z [ RUN      ] DataLoaderTest.CallingBeginWhileOtherIteratorIsInFlightThrows
2022-11-23T03:26:54.8205964Z [       OK ] DataLoaderTest.CallingBeginWhileOtherIteratorIsInFlightThrows (1 ms)
2022-11-23T03:26:54.8206591Z [ RUN      ] DataLoaderTest.IncrementingExhaustedValidIteratorThrows
2022-11-23T03:26:54.8219487Z [       OK ] DataLoaderTest.IncrementingExhaustedValidIteratorThrows (1 ms)
2022-11-23T03:26:54.8220106Z [ RUN      ] DataLoaderTest.DereferencingExhaustedValidIteratorThrows
2022-11-23T03:26:54.8233845Z [       OK ] DataLoaderTest.DereferencingExhaustedValidIteratorThrows (1 ms)
2022-11-23T03:26:54.8234370Z [ RUN      ] DataLoaderTest.IncrementingSentinelIteratorThrows
2022-11-23T03:26:54.8246991Z [       OK ] DataLoaderTest.IncrementingSentinelIteratorThrows (1 ms)
2022-11-23T03:26:54.8247561Z [ RUN      ] DataLoaderTest.DereferencingSentinelIteratorThrows
2022-11-23T03:26:54.8260972Z [       OK ] DataLoaderTest.DereferencingSentinelIteratorThrows (1 ms)
2022-11-23T03:26:54.8262236Z [ RUN      ] DataLoaderTest.YieldsCorrectBatchSize
2022-11-23T03:26:54.8262700Z [       OK ] DataLoaderTest.YieldsCorrectBatchSize (0 ms)
2022-11-23T03:26:54.8263371Z [ RUN      ] DataLoaderTest.ReturnsLastBatchWhenSmallerThanBatchSizeWhenDropLastIsFalse
2022-11-23T03:26:54.8264192Z [       OK ] DataLoaderTest.ReturnsLastBatchWhenSmallerThanBatchSizeWhenDropLastIsFalse (0 ms)
2022-11-23T03:26:54.8265030Z [ RUN      ] DataLoaderTest.DoesNotReturnLastBatchWhenSmallerThanBatchSizeWhenDropLastIsTrue
2022-11-23T03:26:54.8265905Z [       OK ] DataLoaderTest.DoesNotReturnLastBatchWhenSmallerThanBatchSizeWhenDropLastIsTrue (0 ms)
2022-11-23T03:26:54.8266543Z [ RUN      ] DataLoaderTest.RespectsTimeout
2022-11-23T03:26:54.8386477Z [       OK ] DataLoaderTest.RespectsTimeout (12 ms)
2022-11-23T03:26:54.8387092Z [ RUN      ] DataLoaderTest.EnforcesOrderingAmongThreadsWhenConfigured
2022-11-23T03:26:54.8418914Z [       OK ] DataLoaderTest.EnforcesOrderingAmongThreadsWhenConfigured (3 ms)
2022-11-23T03:26:54.8419882Z [ RUN      ] DataLoaderTest.Reset
2022-11-23T03:26:54.8420295Z [       OK ] DataLoaderTest.Reset (0 ms)
2022-11-23T03:26:54.8420689Z [ RUN      ] DataLoaderTest.TestExceptionsArePropagatedFromWorkers
2022-11-23T03:26:54.8424389Z [       OK ] DataLoaderTest.TestExceptionsArePropagatedFromWorkers (0 ms)
2022-11-23T03:26:54.8425103Z [ RUN      ] DataLoaderTest.StatefulDatasetWithNoWorkers
2022-11-23T03:26:54.8425480Z [       OK ] DataLoaderTest.StatefulDatasetWithNoWorkers (0 ms)
2022-11-23T03:26:54.8426027Z [ RUN      ] DataLoaderTest.StatefulDatasetWithManyWorkers
2022-11-23T03:26:54.8458929Z [       OK ] DataLoaderTest.StatefulDatasetWithManyWorkers (3 ms)
2022-11-23T03:26:54.8459535Z [ RUN      ] DataLoaderTest.StatefulDatasetWithMap
2022-11-23T03:26:54.8459970Z [       OK ] DataLoaderTest.StatefulDatasetWithMap (0 ms)
2022-11-23T03:26:54.8460433Z [ RUN      ] DataLoaderTest.StatefulDatasetWithCollate
2022-11-23T03:26:54.8461866Z [       OK ] DataLoaderTest.StatefulDatasetWithCollate (0 ms)
2022-11-23T03:26:54.8462343Z [ RUN      ] DataLoaderTest.ChunkDataSetGetBatch
2022-11-23T03:26:54.8618443Z [       OK ] DataLoaderTest.ChunkDataSetGetBatch (15 ms)
2022-11-23T03:26:54.8619298Z [ RUN      ] DataLoaderTest.ChunkDataSetWithBatchSizeMismatch
2022-11-23T03:26:54.8633631Z [       OK ] DataLoaderTest.ChunkDataSetWithBatchSizeMismatch (1 ms)
2022-11-23T03:26:54.8634195Z [ RUN      ] DataLoaderTest.ChunkDataSetWithEmptyBatch
2022-11-23T03:26:54.8636544Z [       OK ] DataLoaderTest.ChunkDataSetWithEmptyBatch (0 ms)
2022-11-23T03:26:54.8637135Z [ RUN      ] DataLoaderTest.ChunkDataSetGetBatchWithUnevenBatchSize
2022-11-23T03:26:54.8643676Z [       OK ] DataLoaderTest.ChunkDataSetGetBatchWithUnevenBatchSize (0 ms)
2022-11-23T03:26:54.8644303Z [ RUN      ] DataLoaderTest.CanAccessChunkSamplerWithChunkDataSet
2022-11-23T03:26:54.8651425Z [       OK ] DataLoaderTest.CanAccessChunkSamplerWithChunkDataSet (0 ms)
2022-11-23T03:26:54.8651937Z [ RUN      ] DataLoaderTest.ChunkDatasetDoesNotHang
2022-11-23T03:26:54.8654103Z [       OK ] DataLoaderTest.ChunkDatasetDoesNotHang (0 ms)
2022-11-23T03:26:54.8654580Z [ RUN      ] DataLoaderTest.ChunkDatasetSave
2022-11-23T03:26:54.8966087Z [       OK ] DataLoaderTest.ChunkDatasetSave (30 ms)
2022-11-23T03:26:54.8966495Z [ RUN      ] DataLoaderTest.ChunkDatasetLoad
2022-11-23T03:26:54.8973957Z [       OK ] DataLoaderTest.ChunkDatasetLoad (1 ms)
2022-11-23T03:26:54.8974585Z [ RUN      ] DataLoaderTest.ChunkDatasetCrossChunkShuffle
2022-11-23T03:26:54.8983416Z [       OK ] DataLoaderTest.ChunkDatasetCrossChunkShuffle (0 ms)
2022-11-23T03:26:54.8983917Z [ RUN      ] DataLoaderTest.CustomPreprocessPolicy
2022-11-23T03:26:54.8989259Z [       OK ] DataLoaderTest.CustomPreprocessPolicy (0 ms)
2022-11-23T03:26:54.8990178Z [----------] 37 tests from DataLoaderTest (81 ms total)
2022-11-23T03:26:54.8990678Z 
2022-11-23T03:26:54.8991086Z [----------] 1 test from EnumTest
2022-11-23T03:26:54.8991688Z [ RUN      ] EnumTest.AllEnums
2022-11-23T03:26:54.8992081Z [       OK ] EnumTest.AllEnums (0 ms)
2022-11-23T03:26:54.8992478Z [----------] 1 test from EnumTest (0 ms total)
2022-11-23T03:26:54.8992693Z 
2022-11-23T03:26:54.8992930Z [----------] 6 tests from ExpandingArrayTest
2022-11-23T03:26:54.8993412Z [ RUN      ] ExpandingArrayTest.CanConstructFromInitializerList
2022-11-23T03:26:54.8994013Z [       OK ] ExpandingArrayTest.CanConstructFromInitializerList (0 ms)
2022-11-23T03:26:54.8994560Z [ RUN      ] ExpandingArrayTest.CanConstructFromVector
2022-11-23T03:26:54.8995085Z [       OK ] ExpandingArrayTest.CanConstructFromVector (0 ms)
2022-11-23T03:26:54.8995921Z [ RUN      ] ExpandingArrayTest.CanConstructFromArray
2022-11-23T03:26:54.8996434Z [       OK ] ExpandingArrayTest.CanConstructFromArray (0 ms)
2022-11-23T03:26:54.8996968Z [ RUN      ] ExpandingArrayTest.CanConstructFromSingleValue
2022-11-23T03:26:54.8997512Z [       OK ] ExpandingArrayTest.CanConstructFromSingleValue (0 ms)
2022-11-23T03:26:54.8998286Z [ RUN      ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInInitializerList
2022-11-23T03:26:54.9004998Z [       OK ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInInitializerList (1 ms)
2022-11-23T03:26:54.9005922Z [ RUN      ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInVector
2022-11-23T03:26:54.9017710Z [       OK ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInVector (1 ms)
2022-11-23T03:26:54.9018670Z [----------] 6 tests from ExpandingArrayTest (2 ms total)
2022-11-23T03:26:54.9018923Z 
2022-11-23T03:26:54.9019122Z [----------] 10 tests from FFTTest
2022-11-23T03:26:54.9019458Z [ RUN      ] FFTTest.fft
2022-11-23T03:26:54.9026822Z [       OK ] FFTTest.fft (0 ms)
2022-11-23T03:26:54.9027584Z [ RUN      ] FFTTest.fft_real
2022-11-23T03:26:54.9031521Z [       OK ] FFTTest.fft_real (0 ms)
2022-11-23T03:26:54.9032010Z [ RUN      ] FFTTest.fft_pad
2022-11-23T03:26:54.9035674Z [       OK ] FFTTest.fft_pad (0 ms)
2022-11-23T03:26:54.9036442Z [ RUN      ] FFTTest.fft_norm
2022-11-23T03:26:54.9039847Z [       OK ] FFTTest.fft_norm (0 ms)
2022-11-23T03:26:54.9040587Z [ RUN      ] FFTTest.ifft
2022-11-23T03:26:54.9044244Z [       OK ] FFTTest.ifft (0 ms)
2022-11-23T03:26:54.9045090Z [ RUN      ] FFTTest.fft_ifft
2022-11-23T03:26:54.9046340Z [       OK ] FFTTest.fft_ifft (0 ms)
2022-11-23T03:26:54.9047040Z [ RUN      ] FFTTest.rfft
2022-11-23T03:26:54.9049500Z [       OK ] FFTTest.rfft (0 ms)
2022-11-23T03:26:54.9050322Z [ RUN      ] FFTTest.rfft_irfft
2022-11-23T03:26:54.9051148Z [       OK ] FFTTest.rfft_irfft (0 ms)
2022-11-23T03:26:54.9051881Z [ RUN      ] FFTTest.ihfft
2022-11-23T03:26:54.9054287Z [       OK ] FFTTest.ihfft (0 ms)
2022-11-23T03:26:54.9055136Z [ RUN      ] FFTTest.hfft_ihfft
2022-11-23T03:26:54.9058261Z [       OK ] FFTTest.hfft_ihfft (0 ms)
2022-11-23T03:26:54.9059214Z [----------] 10 tests from FFTTest (4 ms total)
2022-11-23T03:26:54.9059513Z 
2022-11-23T03:26:54.9059873Z [----------] 135 tests from FunctionalTest
2022-11-23T03:26:54.9060106Z [ RUN      ] FunctionalTest.Conv1d
2022-11-23T03:26:54.9077261Z [       OK ] FunctionalTest.Conv1d (1 ms)
2022-11-23T03:26:54.9077688Z [ RUN      ] FunctionalTest.Conv2dEven
2022-11-23T03:26:54.9082126Z [       OK ] FunctionalTest.Conv2dEven (0 ms)
2022-11-23T03:26:54.9082574Z [ RUN      ] FunctionalTest.Conv2dUneven
2022-11-23T03:26:54.9085639Z [       OK ] FunctionalTest.Conv2dUneven (0 ms)
2022-11-23T03:26:54.9086091Z [ RUN      ] FunctionalTest.Conv3d
2022-11-23T03:26:54.9092265Z [       OK ] FunctionalTest.Conv3d (0 ms)
2022-11-23T03:26:54.9092896Z [ RUN      ] FunctionalTest.MaxPool1d
2022-11-23T03:26:54.9093339Z [       OK ] FunctionalTest.MaxPool1d (0 ms)
2022-11-23T03:26:54.9093764Z [ RUN      ] FunctionalTest.MaxPool2d
2022-11-23T03:26:54.9095025Z [       OK ] FunctionalTest.MaxPool2d (0 ms)
2022-11-23T03:26:54.9095513Z [ RUN      ] FunctionalTest.MaxPool2dBackward
2022-11-23T03:26:54.9097450Z [       OK ] FunctionalTest.MaxPool2dBackward (0 ms)
2022-11-23T03:26:54.9098343Z [ RUN      ] FunctionalTest.MaxPool3d
2022-11-23T03:26:54.9099479Z [       OK ] FunctionalTest.MaxPool3d (0 ms)
2022-11-23T03:26:54.9100745Z [ RUN      ] FunctionalTest.AvgPool1d
2022-11-23T03:26:54.9101575Z [       OK ] FunctionalTest.AvgPool1d (0 ms)
2022-11-23T03:26:54.9102437Z [ RUN      ] FunctionalTest.AvgPool2d
2022-11-23T03:26:54.9103733Z [       OK ] FunctionalTest.AvgPool2d (0 ms)
2022-11-23T03:26:54.9104623Z [ RUN      ] FunctionalTest.AvgPool3d
2022-11-23T03:26:54.9105023Z [       OK ] FunctionalTest.AvgPool3d (0 ms)
2022-11-23T03:26:54.9105462Z [ RUN      ] FunctionalTest.FractionalMaxPool2d
2022-11-23T03:26:54.9109994Z [       OK ] FunctionalTest.FractionalMaxPool2d (0 ms)
2022-11-23T03:26:54.9110903Z [ RUN      ] FunctionalTest.FractionalMaxPool3d
2022-11-23T03:26:54.9112233Z [       OK ] FunctionalTest.FractionalMaxPool3d (0 ms)
2022-11-23T03:26:54.9113027Z [ RUN      ] FunctionalTest.LPPool1d
2022-11-23T03:26:54.9115560Z [       OK ] FunctionalTest.LPPool1d (0 ms)
2022-11-23T03:26:54.9116365Z [ RUN      ] FunctionalTest.LPPool2d
2022-11-23T03:26:54.9117689Z [       OK ] FunctionalTest.LPPool2d (0 ms)
2022-11-23T03:26:54.9118544Z [ RUN      ] FunctionalTest.CosineSimilarity
2022-11-23T03:26:54.9119957Z [       OK ] FunctionalTest.CosineSimilarity (0 ms)
2022-11-23T03:26:54.9120903Z [ RUN      ] FunctionalTest.SmoothL1LossDefaultOptions
2022-11-23T03:26:54.9125147Z [       OK ] FunctionalTest.SmoothL1LossDefaultOptions (0 ms)
2022-11-23T03:26:54.9125737Z [ RUN      ] FunctionalTest.SmoothL1LossBeta
2022-11-23T03:26:54.9126960Z [       OK ] FunctionalTest.SmoothL1LossBeta (0 ms)
2022-11-23T03:26:54.9127790Z [ RUN      ] FunctionalTest.SmoothL1LossNoReduction
2022-11-23T03:26:54.9128906Z [       OK ] FunctionalTest.SmoothL1LossNoReduction (0 ms)
2022-11-23T03:26:54.9129735Z [ RUN      ] FunctionalTest.HuberLossDefaultOptions
2022-11-23T03:26:54.9132285Z [       OK ] FunctionalTest.HuberLossDefaultOptions (0 ms)
2022-11-23T03:26:54.9133089Z [ RUN      ] FunctionalTest.HuberLossDelta
2022-11-23T03:26:54.9134206Z [       OK ] FunctionalTest.HuberLossDelta (0 ms)
2022-11-23T03:26:54.9135164Z [ RUN      ] FunctionalTest.HuberLossNoReduction
2022-11-23T03:26:54.9137679Z [       OK ] FunctionalTest.HuberLossNoReduction (0 ms)
2022-11-23T03:26:54.9138181Z [ RUN      ] FunctionalTest.SoftMarginLossDefaultOptions
2022-11-23T03:26:54.9142222Z [       OK ] FunctionalTest.SoftMarginLossDefaultOptions (0 ms)
2022-11-23T03:26:54.9142829Z [ RUN      ] FunctionalTest.MultiLabelSoftMarginLossDefaultOptions
2022-11-23T03:26:54.9148128Z [       OK ] FunctionalTest.MultiLabelSoftMarginLossDefaultOptions (0 ms)
2022-11-23T03:26:54.9148695Z [ RUN      ] FunctionalTest.SoftMarginLossNoReduction
2022-11-23T03:26:54.9151025Z [       OK ] FunctionalTest.SoftMarginLossNoReduction (0 ms)
2022-11-23T03:26:54.9151653Z [ RUN      ] FunctionalTest.MultiLabelSoftMarginLossWeightedNoReduction
2022-11-23T03:26:54.9155692Z [       OK ] FunctionalTest.MultiLabelSoftMarginLossWeightedNoReduction (0 ms)
2022-11-23T03:26:54.9156249Z [ RUN      ] FunctionalTest.PairwiseDistance
2022-11-23T03:26:54.9157149Z [       OK ] FunctionalTest.PairwiseDistance (0 ms)
2022-11-23T03:26:54.9179182Z [ RUN      ] FunctionalTest.PDist
2022-11-23T03:26:54.9180145Z [       OK ] FunctionalTest.PDist (0 ms)
2022-11-23T03:26:54.9181060Z [ RUN      ] FunctionalTest.AdaptiveMaxPool1d
2022-11-23T03:26:54.9181894Z [       OK ] FunctionalTest.AdaptiveMaxPool1d (0 ms)
2022-11-23T03:26:54.9182377Z [ RUN      ] FunctionalTest.AdaptiveMaxPool2d
2022-11-23T03:26:54.9182817Z [       OK ] FunctionalTest.AdaptiveMaxPool2d (0 ms)
2022-11-23T03:26:54.9183273Z [ RUN      ] FunctionalTest.AdaptiveMaxPool3d
2022-11-23T03:26:54.9183733Z [       OK ] FunctionalTest.AdaptiveMaxPool3d (0 ms)
2022-11-23T03:26:54.9184626Z [ RUN      ] FunctionalTest.AdaptiveAvgPool1d
2022-11-23T03:26:54.9185088Z [       OK ] FunctionalTest.AdaptiveAvgPool1d (0 ms)
2022-11-23T03:26:54.9185748Z [ RUN      ] FunctionalTest.AdaptiveAvgPool2d
2022-11-23T03:26:54.9186224Z [       OK ] FunctionalTest.AdaptiveAvgPool2d (0 ms)
2022-11-23T03:26:54.9186663Z [ RUN      ] FunctionalTest.AdaptiveAvgPool3d
2022-11-23T03:26:54.9187126Z [       OK ] FunctionalTest.AdaptiveAvgPool3d (0 ms)
2022-11-23T03:26:54.9187540Z [ RUN      ] FunctionalTest.L1Loss
2022-11-23T03:26:54.9187913Z [       OK ] FunctionalTest.L1Loss (0 ms)
2022-11-23T03:26:54.9188298Z [ RUN      ] FunctionalTest.MSELoss
2022-11-23T03:26:54.9188701Z [       OK ] FunctionalTest.MSELoss (0 ms)
2022-11-23T03:26:54.9189068Z [ RUN      ] FunctionalTest.BCELoss
2022-11-23T03:26:54.9189460Z [       OK ] FunctionalTest.BCELoss (0 ms)
2022-11-23T03:26:54.9189866Z [ RUN      ] FunctionalTest.KLDivLoss
2022-11-23T03:26:54.9190754Z [W loss.h:57] Warning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (function kl_div)
2022-11-23T03:26:54.9191868Z [       OK ] FunctionalTest.KLDivLoss (0 ms)
2022-11-23T03:26:54.9192307Z [ RUN      ] FunctionalTest.HingeEmbeddingLoss
2022-11-23T03:26:54.9192783Z [       OK ] FunctionalTest.HingeEmbeddingLoss (0 ms)
2022-11-23T03:26:54.9193307Z [ RUN      ] FunctionalTest.GridSample
2022-11-23T03:26:54.9194103Z [W vision.h:87] Warning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. (function grid_sample)
2022-11-23T03:26:54.9194796Z [       OK ] FunctionalTest.GridSample (0 ms)
2022-11-23T03:26:54.9195209Z [ RUN      ] FunctionalTest.AffineGrid
2022-11-23T03:26:54.9371190Z [       OK ] FunctionalTest.AffineGrid (17 ms)
2022-11-23T03:26:54.9371726Z [ RUN      ] FunctionalTest.MultiMarginLoss
2022-11-23T03:26:54.9372217Z [       OK ] FunctionalTest.MultiMarginLoss (0 ms)
2022-11-23T03:26:54.9372683Z [ RUN      ] FunctionalTest.CosineEmbeddingLoss
2022-11-23T03:26:54.9376976Z [       OK ] FunctionalTest.CosineEmbeddingLoss (0 ms)
2022-11-23T03:26:54.9377565Z [ RUN      ] FunctionalTest.MultiLabelMarginLossDefaultOptions
2022-11-23T03:26:54.9380867Z [       OK ] FunctionalTest.MultiLabelMarginLossDefaultOptions (0 ms)
2022-11-23T03:26:54.9381726Z [ RUN      ] FunctionalTest.MultiLabelMarginLossNoReduction
2022-11-23T03:26:54.9383577Z [       OK ] FunctionalTest.MultiLabelMarginLossNoReduction (0 ms)
2022-11-23T03:26:54.9384160Z [ RUN      ] FunctionalTest.TripletMarginLoss
2022-11-23T03:26:54.9386204Z [       OK ] FunctionalTest.TripletMarginLoss (0 ms)
2022-11-23T03:26:54.9386868Z [ RUN      ] FunctionalTest.TripletMarginWithDistanceLossDefaultParity
2022-11-23T03:26:54.9615819Z [       OK ] FunctionalTest.TripletMarginWithDistanceLossDefaultParity (22 ms)
2022-11-23T03:26:54.9616926Z [ RUN      ] FunctionalTest.NLLLoss
2022-11-23T03:26:54.9617345Z [       OK ] FunctionalTest.NLLLoss (0 ms)
2022-11-23T03:26:54.9617772Z [ RUN      ] FunctionalTest.CrossEntropy
2022-11-23T03:26:54.9621458Z [       OK ] FunctionalTest.CrossEntropy (0 ms)
2022-11-23T03:26:54.9621910Z [ RUN      ] FunctionalTest.MaxUnpool1d
2022-11-23T03:26:54.9626130Z [       OK ] FunctionalTest.MaxUnpool1d (0 ms)
2022-11-23T03:26:54.9626552Z [ RUN      ] FunctionalTest.MaxUnpool2d
2022-11-23T03:26:54.9628894Z [       OK ] FunctionalTest.MaxUnpool2d (0 ms)
2022-11-23T03:26:54.9629331Z [ RUN      ] FunctionalTest.MaxUnpool3d
2022-11-23T03:26:54.9631232Z [       OK ] FunctionalTest.MaxUnpool3d (0 ms)
2022-11-23T03:26:54.9631632Z [ RUN      ] FunctionalTest.ELU
2022-11-23T03:26:54.9650662Z [       OK ] FunctionalTest.ELU (1 ms)
2022-11-23T03:26:54.9651125Z [ RUN      ] FunctionalTest.SELU
2022-11-23T03:26:54.9654487Z [       OK ] FunctionalTest.SELU (0 ms)
2022-11-23T03:26:54.9654894Z [ RUN      ] FunctionalTest.GLU
2022-11-23T03:26:54.9657648Z [       OK ] FunctionalTest.GLU (0 ms)
2022-11-23T03:26:54.9658130Z [ RUN      ] FunctionalTest.GELU
2022-11-23T03:26:54.9664302Z [       OK ] FunctionalTest.GELU (0 ms)
2022-11-23T03:26:54.9664739Z [ RUN      ] FunctionalTest.TanhGELU
2022-11-23T03:26:54.9666279Z [       OK ] FunctionalTest.TanhGELU (0 ms)
2022-11-23T03:26:54.9666679Z [ RUN      ] FunctionalTest.Hardshrink
2022-11-23T03:26:54.9678950Z [       OK ] FunctionalTest.Hardshrink (1 ms)
2022-11-23T03:26:54.9679381Z [ RUN      ] FunctionalTest.OneHot
2022-11-23T03:26:54.9683854Z [       OK ] FunctionalTest.OneHot (0 ms)
2022-11-23T03:26:54.9684251Z [ RUN      ] FunctionalTest.Hardtanh
2022-11-23T03:26:54.9724798Z [       OK ] FunctionalTest.Hardtanh (3 ms)
2022-11-23T03:26:54.9725300Z [ RUN      ] FunctionalTest.LeakyReLU
2022-11-23T03:26:54.9738506Z [       OK ] FunctionalTest.LeakyReLU (1 ms)
2022-11-23T03:26:54.9738955Z [ RUN      ] FunctionalTest.LogSigmoid
2022-11-23T03:26:54.9740109Z [       OK ] FunctionalTest.LogSigmoid (0 ms)
2022-11-23T03:26:54.9740550Z [ RUN      ] FunctionalTest.GumbelSoftmax
2022-11-23T03:26:54.9790571Z [       OK ] FunctionalTest.GumbelSoftmax (4 ms)
2022-11-23T03:26:54.9791332Z [ RUN      ] FunctionalTest.Softmax
2022-11-23T03:26:54.9791900Z [       OK ] FunctionalTest.Softmax (0 ms)
2022-11-23T03:26:54.9792279Z [ RUN      ] FunctionalTest.Softmin
2022-11-23T03:26:54.9792689Z [       OK ] FunctionalTest.Softmin (0 ms)
2022-11-23T03:26:54.9793107Z [ RUN      ] FunctionalTest.LogSoftmax
2022-11-23T03:26:54.9794158Z [       OK ] FunctionalTest.LogSoftmax (0 ms)
2022-11-23T03:26:54.9794575Z [ RUN      ] FunctionalTest.PReLU
2022-11-23T03:26:54.9797451Z [       OK ] FunctionalTest.PReLU (0 ms)
2022-11-23T03:26:54.9798157Z [ RUN      ] FunctionalTest.LayerNorm
2022-11-23T03:26:54.9798613Z [       OK ] FunctionalTest.LayerNorm (0 ms)
2022-11-23T03:26:54.9798983Z [ RUN      ] FunctionalTest.GroupNorm
2022-11-23T03:26:54.9801113Z [       OK ] FunctionalTest.GroupNorm (0 ms)
2022-11-23T03:26:54.9801568Z [ RUN      ] FunctionalTest.LocalResponseNorm
2022-11-23T03:26:54.9803227Z [       OK ] FunctionalTest.LocalResponseNorm (0 ms)
2022-11-23T03:26:54.9803700Z [ RUN      ] FunctionalTest.Linear
2022-11-23T03:26:54.9808169Z [       OK ] FunctionalTest.Linear (0 ms)
2022-11-23T03:26:54.9808827Z [ RUN      ] FunctionalTest.Embedding
2022-11-23T03:26:54.9809311Z [       OK ] FunctionalTest.Embedding (0 ms)
2022-11-23T03:26:54.9809725Z [ RUN      ] FunctionalTest.EmbeddingBag
2022-11-23T03:26:54.9815988Z [       OK ] FunctionalTest.EmbeddingBag (0 ms)
2022-11-23T03:26:54.9816742Z [ RUN      ] FunctionalTest.Bilinear
2022-11-23T03:26:54.9820649Z [       OK ] FunctionalTest.Bilinear (0 ms)
2022-11-23T03:26:54.9821068Z [ RUN      ] FunctionalTest.Normalize
2022-11-23T03:26:54.9828184Z [       OK ] FunctionalTest.Normalize (0 ms)
2022-11-23T03:26:54.9828563Z [ RUN      ] FunctionalTest.ReLU
2022-11-23T03:26:54.9832174Z [       OK ] FunctionalTest.ReLU (0 ms)
2022-11-23T03:26:54.9832970Z [ RUN      ] FunctionalTest.ReLUDefaultOptions
2022-11-23T03:26:54.9833814Z [       OK ] FunctionalTest.ReLUDefaultOptions (0 ms)
2022-11-23T03:26:54.9834246Z [ RUN      ] FunctionalTest.ReLU6
2022-11-23T03:26:54.9838427Z [       OK ] FunctionalTest.ReLU6 (0 ms)
2022-11-23T03:26:54.9839197Z [ RUN      ] FunctionalTest.ReLU6DefaultOptions
2022-11-23T03:26:54.9839934Z [       OK ] FunctionalTest.ReLU6DefaultOptions (0 ms)
2022-11-23T03:26:54.9840363Z [ RUN      ] FunctionalTest.RReLU
2022-11-23T03:26:54.9898247Z [       OK ] FunctionalTest.RReLU (5 ms)
2022-11-23T03:26:54.9898743Z [ RUN      ] FunctionalTest.RReLUDefaultOptions
2022-11-23T03:26:54.9899218Z [       OK ] FunctionalTest.RReLUDefaultOptions (0 ms)
2022-11-23T03:26:54.9899641Z [ RUN      ] FunctionalTest.CELU
2022-11-23T03:26:54.9914878Z [       OK ] FunctionalTest.CELU (1 ms)
2022-11-23T03:26:54.9915539Z [ RUN      ] FunctionalTest.CELUDefaultOptions
2022-11-23T03:26:54.9916054Z [       OK ] FunctionalTest.CELUDefaultOptions (0 ms)
2022-11-23T03:26:54.9916516Z [ RUN      ] FunctionalTest.PixelShuffle
2022-11-23T03:26:54.9919336Z [       OK ] FunctionalTest.PixelShuffle (0 ms)
2022-11-23T03:26:54.9919833Z [ RUN      ] FunctionalTest.PixelUnshuffle
2022-11-23T03:26:54.9921305Z [       OK ] FunctionalTest.PixelUnshuffle (0 ms)
2022-11-23T03:26:54.9921911Z [ RUN      ] FunctionalTest.Softplus
2022-11-23T03:26:54.9933083Z [       OK ] FunctionalTest.Softplus (1 ms)
2022-11-23T03:26:54.9933855Z [ RUN      ] FunctionalTest.SoftplusDefaultOptions
2022-11-23T03:26:54.9934684Z [       OK ] FunctionalTest.SoftplusDefaultOptions (0 ms)
2022-11-23T03:26:54.9935140Z [ RUN      ] FunctionalTest.Fold
2022-11-23T03:26:54.9935551Z [       OK ] FunctionalTest.Fold (0 ms)
2022-11-23T03:26:54.9935980Z [ RUN      ] FunctionalTest.Unfold
2022-11-23T03:26:54.9937385Z [       OK ] FunctionalTest.Unfold (0 ms)
2022-11-23T03:26:54.9938039Z [ RUN      ] FunctionalTest.Softshrink
2022-11-23T03:26:54.9947721Z [       OK ] FunctionalTest.Softshrink (0 ms)
2022-11-23T03:26:54.9948549Z [ RUN      ] FunctionalTest.SoftshrinkDefaultOptions
2022-11-23T03:26:54.9949599Z [       OK ] FunctionalTest.SoftshrinkDefaultOptions (0 ms)
2022-11-23T03:26:54.9950145Z [ RUN      ] FunctionalTest.Softsign
2022-11-23T03:26:54.9951222Z [       OK ] FunctionalTest.Softsign (0 ms)
2022-11-23T03:26:54.9951620Z [ RUN      ] FunctionalTest.Mish
2022-11-23T03:26:54.9953346Z [       OK ] FunctionalTest.Mish (0 ms)
2022-11-23T03:26:54.9954200Z [ RUN      ] FunctionalTest.Tanhshrink
2022-11-23T03:26:54.9954937Z [       OK ] FunctionalTest.Tanhshrink (0 ms)
2022-11-23T03:26:54.9955327Z [ RUN      ] FunctionalTest.Threshold
2022-11-23T03:26:54.9973336Z [       OK ] FunctionalTest.Threshold (1 ms)
2022-11-23T03:26:54.9974041Z [ RUN      ] FunctionalTest.BatchNorm1d
2022-11-23T03:26:54.9974958Z [       OK ] FunctionalTest.BatchNorm1d (0 ms)
2022-11-23T03:26:54.9975997Z [ RUN      ] FunctionalTest.BatchNorm1dDefaultOptions
2022-11-23T03:26:54.9977206Z [       OK ] FunctionalTest.BatchNorm1dDefaultOptions (0 ms)
2022-11-23T03:26:54.9977638Z [ RUN      ] FunctionalTest.BatchNorm2d
2022-11-23T03:26:54.9978724Z [       OK ] FunctionalTest.BatchNorm2d (0 ms)
2022-11-23T03:26:54.9979638Z [ RUN      ] FunctionalTest.BatchNorm2dDefaultOptions
2022-11-23T03:26:54.9981138Z [       OK ] FunctionalTest.BatchNorm2dDefaultOptions (0 ms)
2022-11-23T03:26:54.9982142Z [ RUN      ] FunctionalTest.BatchNorm3d
2022-11-23T03:26:54.9983067Z [       OK ] FunctionalTest.BatchNorm3d (0 ms)
2022-11-23T03:26:54.9983930Z [ RUN      ] FunctionalTest.BatchNorm3dDefaultOptions
2022-11-23T03:26:54.9984913Z [       OK ] FunctionalTest.BatchNorm3dDefaultOptions (0 ms)
2022-11-23T03:26:54.9985384Z [ RUN      ] FunctionalTest.InstanceNorm1d
2022-11-23T03:26:54.9988313Z [       OK ] FunctionalTest.InstanceNorm1d (0 ms)
2022-11-23T03:26:54.9988799Z [ RUN      ] FunctionalTest.InstanceNorm1dDefaultOptions
2022-11-23T03:26:54.9990690Z [       OK ] FunctionalTest.InstanceNorm1dDefaultOptions (0 ms)
2022-11-23T03:26:54.9991212Z [ RUN      ] FunctionalTest.InstanceNorm2d
2022-11-23T03:26:54.9993782Z [       OK ] FunctionalTest.InstanceNorm2d (0 ms)
2022-11-23T03:26:54.9994258Z [ RUN      ] FunctionalTest.InstanceNorm2dDefaultOptions
2022-11-23T03:26:54.9996112Z [       OK ] FunctionalTest.InstanceNorm2dDefaultOptions (0 ms)
2022-11-23T03:26:54.9996608Z [ RUN      ] FunctionalTest.InstanceNorm3d
2022-11-23T03:26:55.0000701Z [       OK ] FunctionalTest.InstanceNorm3d (0 ms)
2022-11-23T03:26:55.0001175Z [ RUN      ] FunctionalTest.InstanceNorm3dDefaultOptions
2022-11-23T03:26:55.0004533Z [       OK ] FunctionalTest.InstanceNorm3dDefaultOptions (0 ms)
2022-11-23T03:26:55.0005013Z [ RUN      ] FunctionalTest.Interpolate
2022-11-23T03:26:55.0007716Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:26:55.0009718Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:26:55.0011457Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:26:55.0012582Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:26:55.0014086Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:26:55.0015193Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:26:55.0017148Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:26:55.0018792Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:26:55.0115034Z [       OK ] FunctionalTest.Interpolate (10 ms)
2022-11-23T03:26:55.0115571Z [ RUN      ] FunctionalTest.Pad1
2022-11-23T03:26:55.0116126Z [       OK ] FunctionalTest.Pad1 (0 ms)
2022-11-23T03:26:55.0116517Z [ RUN      ] FunctionalTest.Pad2
2022-11-23T03:26:55.0117214Z [       OK ] FunctionalTest.Pad2 (0 ms)
2022-11-23T03:26:55.0117897Z [ RUN      ] FunctionalTest.Pad3
2022-11-23T03:26:55.0124186Z [       OK ] FunctionalTest.Pad3 (0 ms)
2022-11-23T03:26:55.0124512Z [ RUN      ] FunctionalTest.Pad4
2022-11-23T03:26:55.0127533Z [       OK ] FunctionalTest.Pad4 (0 ms)
2022-11-23T03:26:55.0128127Z [ RUN      ] FunctionalTest.Pad5
2022-11-23T03:26:55.0131620Z [       OK ] FunctionalTest.Pad5 (0 ms)
2022-11-23T03:26:55.0132506Z [ RUN      ] FunctionalTest.Pad6
2022-11-23T03:26:55.0135443Z [       OK ] FunctionalTest.Pad6 (0 ms)
2022-11-23T03:26:55.0135880Z [ RUN      ] FunctionalTest.Pad7
2022-11-23T03:26:55.0136492Z [       OK ] FunctionalTest.Pad7 (0 ms)
2022-11-23T03:26:55.0136868Z [ RUN      ] FunctionalTest.Pad8
2022-11-23T03:26:55.0137251Z [       OK ] FunctionalTest.Pad8 (0 ms)
2022-11-23T03:26:55.0137629Z [ RUN      ] FunctionalTest.CTCLoss
2022-11-23T03:26:55.0276009Z [       OK ] FunctionalTest.CTCLoss (13 ms)
2022-11-23T03:26:55.0276513Z [ RUN      ] FunctionalTest.PoissonNLLLoss
2022-11-23T03:26:55.0277251Z [       OK ] FunctionalTest.PoissonNLLLoss (0 ms)
2022-11-23T03:26:55.0277698Z [ RUN      ] FunctionalTest.MarginRankingLoss
2022-11-23T03:26:55.0281485Z [       OK ] FunctionalTest.MarginRankingLoss (0 ms)
2022-11-23T03:26:55.0281974Z [ RUN      ] FunctionalTest.ConvTranspose1d
2022-11-23T03:26:55.0285290Z [       OK ] FunctionalTest.ConvTranspose1d (0 ms)
2022-11-23T03:26:55.0285789Z [ RUN      ] FunctionalTest.ConvTranspose2dEven
2022-11-23T03:26:55.0290478Z [       OK ] FunctionalTest.ConvTranspose2dEven (0 ms)
2022-11-23T03:26:55.0290951Z [ RUN      ] FunctionalTest.ConvTranspose2dUneven
2022-11-23T03:26:55.0294178Z [       OK ] FunctionalTest.ConvTranspose2dUneven (0 ms)
2022-11-23T03:26:55.0294680Z [ RUN      ] FunctionalTest.ConvTranspose3d
2022-11-23T03:26:55.0297499Z [       OK ] FunctionalTest.ConvTranspose3d (0 ms)
2022-11-23T03:26:55.0297988Z [ RUN      ] FunctionalTest.AlphaDropout
2022-11-23T03:26:55.0311282Z [       OK ] FunctionalTest.AlphaDropout (1 ms)
2022-11-23T03:26:55.0311716Z [ RUN      ] FunctionalTest.FeatureAlphaDropout
2022-11-23T03:26:55.0323794Z [       OK ] FunctionalTest.FeatureAlphaDropout (1 ms)
2022-11-23T03:26:55.0324372Z [ RUN      ] FunctionalTest.Dropout
2022-11-23T03:26:55.0331414Z [       OK ] FunctionalTest.Dropout (0 ms)
2022-11-23T03:26:55.0332152Z [ RUN      ] FunctionalTest.Dropout2d
2022-11-23T03:26:55.0340649Z [       OK ] FunctionalTest.Dropout2d (0 ms)
2022-11-23T03:26:55.0341342Z [ RUN      ] FunctionalTest.Dropout3d
2022-11-23T03:26:55.0347664Z [       OK ] FunctionalTest.Dropout3d (0 ms)
2022-11-23T03:26:55.0348200Z [ RUN      ] FunctionalTest.isfinite
2022-11-23T03:26:55.0355543Z [       OK ] FunctionalTest.isfinite (0 ms)
2022-11-23T03:26:55.0356687Z [ RUN      ] FunctionalTest.isfinite_CUDA
2022-11-23T03:26:56.5858095Z [       OK ] FunctionalTest.isfinite_CUDA (1549 ms)
2022-11-23T03:26:56.5858593Z [ RUN      ] FunctionalTest.isinf
2022-11-23T03:26:56.5862105Z [       OK ] FunctionalTest.isinf (0 ms)
2022-11-23T03:26:56.5862521Z [ RUN      ] FunctionalTest.isinf_CUDA
2022-11-23T03:26:56.5908392Z [       OK ] FunctionalTest.isinf_CUDA (4 ms)
2022-11-23T03:26:56.5908814Z [ RUN      ] FunctionalTest.AllClose
2022-11-23T03:26:56.6004854Z [       OK ] FunctionalTest.AllClose (9 ms)
2022-11-23T03:26:56.6005260Z [ RUN      ] FunctionalTest.AllClose_CUDA
2022-11-23T03:26:56.6464562Z [       OK ] FunctionalTest.AllClose_CUDA (45 ms)
2022-11-23T03:26:56.6465057Z [ RUN      ] FunctionalTest.BCEWithLogitsLoss
2022-11-23T03:26:56.6519309Z [       OK ] FunctionalTest.BCEWithLogitsLoss (5 ms)
2022-11-23T03:26:56.6519878Z [----------] 135 tests from FunctionalTest (1745 ms total)
2022-11-23T03:26:56.6520156Z 
2022-11-23T03:26:56.6520380Z [----------] 3 tests from IntegrationTest
2022-11-23T03:26:56.6520795Z [ RUN      ] IntegrationTest.CartPole
2022-11-23T03:27:21.2832173Z [       OK ] IntegrationTest.CartPole (24631 ms)
2022-11-23T03:27:21.2832615Z [ RUN      ] IntegrationTest.MNIST_CUDA
2022-11-23T03:27:38.0320750Z [       OK ] IntegrationTest.MNIST_CUDA (16748 ms)
2022-11-23T03:27:38.0321323Z [ RUN      ] IntegrationTest.MNISTBatchNorm_CUDA
2022-11-23T03:27:55.2968859Z [       OK ] IntegrationTest.MNISTBatchNorm_CUDA (17264 ms)
2022-11-23T03:27:55.2969417Z [----------] 3 tests from IntegrationTest (58644 ms total)
2022-11-23T03:27:55.2969671Z 
2022-11-23T03:27:55.2969868Z [----------] 9 tests from InitTest
2022-11-23T03:27:55.2973366Z [ RUN      ] InitTest.ProducesPyTorchValues_XavierUniform
2022-11-23T03:27:55.2987652Z [       OK ] InitTest.ProducesPyTorchValues_XavierUniform (2 ms)
2022-11-23T03:27:55.2988232Z [ RUN      ] InitTest.ProducesPyTorchValues_XavierNormal
2022-11-23T03:27:55.3007195Z [       OK ] InitTest.ProducesPyTorchValues_XavierNormal (1 ms)
2022-11-23T03:27:55.3007720Z [ RUN      ] InitTest.ProducesPyTorchValues_KaimingNormal
2022-11-23T03:27:55.3026855Z [       OK ] InitTest.ProducesPyTorchValues_KaimingNormal (1 ms)
2022-11-23T03:27:55.3027429Z [ RUN      ] InitTest.ProducesPyTorchValues_KaimingUniform
2022-11-23T03:27:55.3046071Z [       OK ] InitTest.ProducesPyTorchValues_KaimingUniform (1 ms)
2022-11-23T03:27:55.3046631Z [ RUN      ] InitTest.CanInitializeTensorThatRequiresGrad
2022-11-23T03:27:55.3081004Z [       OK ] InitTest.CanInitializeTensorThatRequiresGrad (3 ms)
2022-11-23T03:27:55.3082134Z [ RUN      ] InitTest.CalculateGainWithTanh
2022-11-23T03:27:55.3082793Z [       OK ] InitTest.CalculateGainWithTanh (0 ms)
2022-11-23T03:27:55.3083327Z [ RUN      ] InitTest.CalculateGainWithRelu
2022-11-23T03:27:55.3083713Z [       OK ] InitTest.CalculateGainWithRelu (0 ms)
2022-11-23T03:27:55.3084181Z [ RUN      ] InitTest.CalculateGainWithLeakyRelu
2022-11-23T03:27:55.3085093Z [       OK ] InitTest.CalculateGainWithLeakyRelu (0 ms)
2022-11-23T03:27:55.3086131Z [ RUN      ] InitTest.CanInitializeCnnWithOrthogonal
2022-11-23T03:27:55.3086868Z [       OK ] InitTest.CanInitializeCnnWithOrthogonal (0 ms)
2022-11-23T03:27:55.3087365Z [----------] 9 tests from InitTest (11 ms total)
2022-11-23T03:27:55.3087587Z 
2022-11-23T03:27:55.3087821Z [----------] 6 tests from TorchScriptTest
2022-11-23T03:27:55.3088275Z [ RUN      ] TorchScriptTest.CanCompileMultipleFunctions
2022-11-23T03:27:55.3755053Z [       OK ] TorchScriptTest.CanCompileMultipleFunctions (66 ms)
2022-11-23T03:27:55.3755738Z [ RUN      ] TorchScriptTest.TestNestedIValueModuleArgMatching
2022-11-23T03:27:55.3787766Z [       OK ] TorchScriptTest.TestNestedIValueModuleArgMatching (3 ms)
2022-11-23T03:27:55.3788329Z [ RUN      ] TorchScriptTest.TestDictArgMatching
2022-11-23T03:27:55.3791559Z [       OK ] TorchScriptTest.TestDictArgMatching (0 ms)
2022-11-23T03:27:55.3792367Z [ RUN      ] TorchScriptTest.TestTupleArgMatching
2022-11-23T03:27:55.3793836Z [       OK ] TorchScriptTest.TestTupleArgMatching (0 ms)
2022-11-23T03:27:55.3794362Z [ RUN      ] TorchScriptTest.TestOptionalArgMatching
2022-11-23T03:27:55.3803037Z [       OK ] TorchScriptTest.TestOptionalArgMatching (0 ms)
2022-11-23T03:27:55.3803869Z [ RUN      ] TorchScriptTest.TestPickle
2022-11-23T03:27:55.3804598Z [       OK ] TorchScriptTest.TestPickle (0 ms)
2022-11-23T03:27:55.3805430Z [----------] 6 tests from TorchScriptTest (71 ms total)
2022-11-23T03:27:55.3805841Z 
2022-11-23T03:27:55.3806254Z [----------] 3 tests from MakeUniqueTest
2022-11-23T03:27:55.3806973Z [ RUN      ] MakeUniqueTest.ForwardRvaluesCorrectly
2022-11-23T03:27:55.3807959Z [       OK ] MakeUniqueTest.ForwardRvaluesCorrectly (0 ms)
2022-11-23T03:27:55.3809063Z [ RUN      ] MakeUniqueTest.ForwardLvaluesCorrectly
2022-11-23T03:27:55.3810287Z [       OK ] MakeUniqueTest.ForwardLvaluesCorrectly (0 ms)
2022-11-23T03:27:55.3810858Z [ RUN      ] MakeUniqueTest.CanConstructUniquePtrOfArray
2022-11-23T03:27:55.3811403Z [       OK ] MakeUniqueTest.CanConstructUniquePtrOfArray (0 ms)
2022-11-23T03:27:55.3811912Z [----------] 3 tests from MakeUniqueTest (0 ms total)
2022-11-23T03:27:55.3812134Z 
2022-11-23T03:27:55.3812352Z [----------] 2 tests from MetaTensorTest
2022-11-23T03:27:55.3812733Z [ RUN      ] MetaTensorTest.MetaDeviceApi
2022-11-23T03:27:55.3813167Z [       OK ] MetaTensorTest.MetaDeviceApi (0 ms)
2022-11-23T03:27:55.3813623Z [ RUN      ] MetaTensorTest.MetaNamespaceApi
2022-11-23T03:27:55.3814058Z [       OK ] MetaTensorTest.MetaNamespaceApi (0 ms)
2022-11-23T03:27:55.3814518Z [----------] 2 tests from MetaTensorTest (0 ms total)
2022-11-23T03:27:55.3814736Z 
2022-11-23T03:27:55.3814940Z [----------] 2 tests from UtilsTest
2022-11-23T03:27:55.3815274Z [ RUN      ] UtilsTest.WarnOnce
2022-11-23T03:27:55.3815660Z [       OK ] UtilsTest.WarnOnce (0 ms)
2022-11-23T03:27:55.3816582Z [ RUN      ] UtilsTest.AmbiguousOperatorDefaults
2022-11-23T03:27:55.3817102Z [       OK ] UtilsTest.AmbiguousOperatorDefaults (0 ms)
2022-11-23T03:27:55.3817539Z [----------] 2 tests from UtilsTest (0 ms total)
2022-11-23T03:27:55.3817745Z 
2022-11-23T03:27:55.3817943Z [----------] 1 test from NoGradTest
2022-11-23T03:27:55.3818349Z [ RUN      ] NoGradTest.SetsGradModeCorrectly
2022-11-23T03:27:55.3850711Z [       OK ] NoGradTest.SetsGradModeCorrectly (4 ms)
2022-11-23T03:27:55.3851420Z [----------] 1 test from NoGradTest (4 ms total)
2022-11-23T03:27:55.3851600Z 
2022-11-23T03:27:55.3851818Z [----------] 3 tests from AutogradTest
2022-11-23T03:27:55.3852243Z [ RUN      ] AutogradTest.CanTakeDerivatives
2022-11-23T03:27:55.3853536Z [       OK ] AutogradTest.CanTakeDerivatives (0 ms)
2022-11-23T03:27:55.3854120Z [ RUN      ] AutogradTest.CanTakeDerivativesOfZeroDimTensors
2022-11-23T03:27:55.3854936Z [       OK ] AutogradTest.CanTakeDerivativesOfZeroDimTensors (0 ms)
2022-11-23T03:27:55.3855509Z [ RUN      ] AutogradTest.CanPassCustomGradientInputs
2022-11-23T03:27:55.3857103Z [       OK ] AutogradTest.CanPassCustomGradientInputs (0 ms)
2022-11-23T03:27:55.3857797Z [----------] 3 tests from AutogradTest (0 ms total)
2022-11-23T03:27:55.3858053Z 
2022-11-23T03:27:55.3858306Z [----------] 1 test from OptionalArrayRefTest
2022-11-23T03:27:55.3859123Z [ RUN      ] OptionalArrayRefTest.DanglingPointerFix
2022-11-23T03:27:55.3859645Z [       OK ] OptionalArrayRefTest.DanglingPointerFix (0 ms)
2022-11-23T03:27:55.3860142Z [----------] 1 test from OptionalArrayRefTest (0 ms total)
2022-11-23T03:27:55.3860384Z 
2022-11-23T03:27:55.3860606Z [----------] 55 tests from ModuleTest
2022-11-23T03:27:55.3861071Z [ RUN      ] ModuleTest.CanEnableAndDisableTrainingMode
2022-11-23T03:27:55.3861580Z [       OK ] ModuleTest.CanEnableAndDisableTrainingMode (0 ms)
2022-11-23T03:27:55.3862037Z [ RUN      ] ModuleTest.ZeroGrad
2022-11-23T03:27:55.3862424Z [       OK ] ModuleTest.ZeroGrad (0 ms)
2022-11-23T03:27:55.3862864Z [ RUN      ] ModuleTest.ZeroGradWithUndefined
2022-11-23T03:27:55.3863527Z [       OK ] ModuleTest.ZeroGradWithUndefined (0 ms)
2022-11-23T03:27:55.3864076Z [ RUN      ] ModuleTest.RegisterModuleThrowsForEmptyOrDottedName
2022-11-23T03:27:55.3895561Z [       OK ] ModuleTest.RegisterModuleThrowsForEmptyOrDottedName (2 ms)
2022-11-23T03:27:55.3896761Z [ RUN      ] ModuleTest.RegisterModuleThrowsForDuplicateModuleName
2022-11-23T03:27:55.3908447Z [       OK ] ModuleTest.RegisterModuleThrowsForDuplicateModuleName (1 ms)
2022-11-23T03:27:55.3909103Z [ RUN      ] ModuleTest.ReplaceModuleThrowsForUnknownModuleName
2022-11-23T03:27:55.3924034Z [       OK ] ModuleTest.ReplaceModuleThrowsForUnknownModuleName (1 ms)
2022-11-23T03:27:55.3924612Z [ RUN      ] ModuleTest.ReplaceModule
2022-11-23T03:27:55.3925011Z [       OK ] ModuleTest.ReplaceModule (0 ms)
2022-11-23T03:27:55.3925429Z [ RUN      ] ModuleTest.UnregisterModule
2022-11-23T03:27:55.3945059Z [       OK ] ModuleTest.UnregisterModule (2 ms)
2022-11-23T03:27:55.3945624Z [ RUN      ] ModuleTest.RegisterParameterThrowsForEmptyOrDottedName
2022-11-23T03:27:55.3986246Z [       OK ] ModuleTest.RegisterParameterThrowsForEmptyOrDottedName (3 ms)
2022-11-23T03:27:55.3986981Z [ RUN      ] ModuleTest.RegisterParameterThrowsForDuplicateModuleName
2022-11-23T03:27:55.4012464Z [       OK ] ModuleTest.RegisterParameterThrowsForDuplicateModuleName (2 ms)
2022-11-23T03:27:55.4013057Z [ RUN      ] ModuleTest.RegisterParameterUndefinedTensor
2022-11-23T03:27:55.4013648Z [       OK ] ModuleTest.RegisterParameterUndefinedTensor (0 ms)
2022-11-23T03:27:55.4014230Z [ RUN      ] ModuleTest.RegisterBufferThrowsForEmptyOrDottedName
2022-11-23T03:27:55.4053521Z [       OK ] ModuleTest.RegisterBufferThrowsForEmptyOrDottedName (3 ms)
2022-11-23T03:27:55.4054181Z [ RUN      ] ModuleTest.RegisterBufferThrowsForDuplicateModuleName
2022-11-23T03:27:55.4081071Z [       OK ] ModuleTest.RegisterBufferThrowsForDuplicateModuleName (2 ms)
2022-11-23T03:27:55.4081671Z [ RUN      ] ModuleTest.CanGetName
2022-11-23T03:27:55.4082063Z [       OK ] ModuleTest.CanGetName (0 ms)
2022-11-23T03:27:55.4082503Z [ RUN      ] ModuleTest.AsCastsModulesCorrectly
2022-11-23T03:27:55.4082974Z [       OK ] ModuleTest.AsCastsModulesCorrectly (0 ms)
2022-11-23T03:27:55.4083532Z [ RUN      ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor
2022-11-23T03:27:55.4084395Z [       OK ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor (0 ms)
2022-11-23T03:27:55.4085261Z [ RUN      ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor_CUDA
2022-11-23T03:27:55.4085914Z [       OK ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor_CUDA (0 ms)
2022-11-23T03:27:55.4086587Z [ RUN      ] ModuleTest.ParametersAndBuffersAccessorSkipsUndefinedTensor
2022-11-23T03:27:55.4087242Z [       OK ] ModuleTest.ParametersAndBuffersAccessorSkipsUndefinedTensor (0 ms)
2022-11-23T03:27:55.4087920Z [ RUN      ] ModuleTest.CallingCloneOnModuleThatDoesNotOverrideCloneThrows
2022-11-23T03:27:55.4108393Z [       OK ] ModuleTest.CallingCloneOnModuleThatDoesNotOverrideCloneThrows (2 ms)
2022-11-23T03:27:55.4109149Z [ RUN      ] ModuleTest.CallingCloneOnModuleThatDoesOverrideCloneDoesNotThrow
2022-11-23T03:27:55.4109854Z [       OK ] ModuleTest.CallingCloneOnModuleThatDoesOverrideCloneDoesNotThrow (0 ms)
2022-11-23T03:27:55.4110503Z [ RUN      ] ModuleTest.CloneCreatesDistinctParameters
2022-11-23T03:27:55.4117930Z [       OK ] ModuleTest.CloneCreatesDistinctParameters (1 ms)
2022-11-23T03:27:55.4118539Z [ RUN      ] ModuleTest.CloneCreatesDistinctParametersExplicitDevice_CUDA
2022-11-23T03:27:55.4150443Z [       OK ] ModuleTest.CloneCreatesDistinctParametersExplicitDevice_CUDA (2 ms)
2022-11-23T03:27:55.4151105Z [ RUN      ] ModuleTest.ClonePreservesExternalReferences
2022-11-23T03:27:55.4151925Z [       OK ] ModuleTest.ClonePreservesExternalReferences (0 ms)
2022-11-23T03:27:55.4152673Z [ RUN      ] ModuleTest.CloneCopiesTheValuesOfVariablesOfSubmodules
2022-11-23T03:27:55.4153896Z [       OK ] ModuleTest.CloneCopiesTheValuesOfVariablesOfSubmodules (0 ms)
2022-11-23T03:27:55.4154571Z [ RUN      ] ModuleTest.CloneToDevicePreservesTheDeviceOfParameters_CUDA
2022-11-23T03:27:55.4159985Z [       OK ] ModuleTest.CloneToDevicePreservesTheDeviceOfParameters_CUDA (0 ms)
2022-11-23T03:27:55.4161696Z [ RUN      ] ModuleTest.HasCorrectNumberOfParameters
2022-11-23T03:27:55.4162539Z [       OK ] ModuleTest.HasCorrectNumberOfParameters (0 ms)
2022-11-23T03:27:55.4163129Z [ RUN      ] ModuleTest.ContainsParametersWithTheCorrectName
2022-11-23T03:27:55.4163681Z [       OK ] ModuleTest.ContainsParametersWithTheCorrectName (0 ms)
2022-11-23T03:27:55.4164208Z [ RUN      ] ModuleTest.HasCorrectNumberOfBuffers
2022-11-23T03:27:55.4164700Z [       OK ] ModuleTest.HasCorrectNumberOfBuffers (0 ms)
2022-11-23T03:27:55.4165190Z [ RUN      ] ModuleTest.ContainsBuffersWithTheCorrectName
2022-11-23T03:27:55.4165776Z [       OK ] ModuleTest.ContainsBuffersWithTheCorrectName (0 ms)
2022-11-23T03:27:55.4166457Z [ RUN      ] ModuleTest.DefaultConstructorOfModuleHolderCallsDefaultConstructorOfImpl
2022-11-23T03:27:55.4167258Z [       OK ] ModuleTest.DefaultConstructorOfModuleHolderCallsDefaultConstructorOfImpl (0 ms)
2022-11-23T03:27:55.4168020Z [ RUN      ] ModuleTest.ValueConstructorOfModuleHolderCallsCorrectConstructorInImpl
2022-11-23T03:27:55.4168807Z [       OK ] ModuleTest.ValueConstructorOfModuleHolderCallsCorrectConstructorInImpl (0 ms)
2022-11-23T03:27:55.4169537Z [ RUN      ] ModuleTest.NullptrConstructorLeavesTheModuleHolderInEmptyState
2022-11-23T03:27:55.4177272Z [       OK ] ModuleTest.NullptrConstructorLeavesTheModuleHolderInEmptyState (1 ms)
2022-11-23T03:27:55.4178705Z [ RUN      ] ModuleTest.ModulesReturnsExpectedSubmodulesForFlatModel
2022-11-23T03:27:55.4179651Z [       OK ] ModuleTest.ModulesReturnsExpectedSubmodulesForFlatModel (0 ms)
2022-11-23T03:27:55.4180807Z [ RUN      ] ModuleTest.ModulesExcludesSelfWhenIncludeSelfSetToFalse
2022-11-23T03:27:55.4182155Z [       OK ] ModuleTest.ModulesExcludesSelfWhenIncludeSelfSetToFalse (0 ms)
2022-11-23T03:27:55.4183384Z [ RUN      ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForFlatModel
2022-11-23T03:27:55.4185059Z [       OK ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForFlatModel (0 ms)
2022-11-23T03:27:55.4185836Z [ RUN      ] ModuleTest.NamedModulesExcludesSelfWhenIncludeSelfSetToFalse
2022-11-23T03:27:55.4186510Z [       OK ] ModuleTest.NamedModulesExcludesSelfWhenIncludeSelfSetToFalse (0 ms)
2022-11-23T03:27:55.4187368Z [ RUN      ] ModuleTest.ChildrenReturnsExpectedSubmodulesForFlatModel
2022-11-23T03:27:55.4188284Z [       OK ] ModuleTest.ChildrenReturnsExpectedSubmodulesForFlatModel (0 ms)
2022-11-23T03:27:55.4189703Z [ RUN      ] ModuleTest.NamedChildrenReturnsExpectedNamedSubmodulesForFlatModel
2022-11-23T03:27:55.4190561Z [       OK ] ModuleTest.NamedChildrenReturnsExpectedNamedSubmodulesForFlatModel (0 ms)
2022-11-23T03:27:55.4191506Z [ RUN      ] ModuleTest.ParametersReturnsExpectedTensorsForFlatModel
2022-11-23T03:27:55.4192314Z [       OK ] ModuleTest.ParametersReturnsExpectedTensorsForFlatModel (0 ms)
2022-11-23T03:27:55.4192912Z [ RUN      ] ModuleTest.NamedParametersReturnsExpectedTensorsForFlatModel
2022-11-23T03:27:55.4193992Z [       OK ] ModuleTest.NamedParametersReturnsExpectedTensorsForFlatModel (0 ms)
2022-11-23T03:27:55.4194595Z [ RUN      ] ModuleTest.BuffersReturnsExpectedTensorsForFlatModel
2022-11-23T03:27:55.4195218Z [       OK ] ModuleTest.BuffersReturnsExpectedTensorsForFlatModel (0 ms)
2022-11-23T03:27:55.4195833Z [ RUN      ] ModuleTest.NamedBuffersReturnsExpectedTensorsForFlatModel
2022-11-23T03:27:55.4196525Z [       OK ] ModuleTest.NamedBuffersReturnsExpectedTensorsForFlatModel (0 ms)
2022-11-23T03:27:55.4197174Z [ RUN      ] ModuleTest.ModulesReturnsExpectedSubmodulesForDeepModel
2022-11-23T03:27:55.4197824Z [       OK ] ModuleTest.ModulesReturnsExpectedSubmodulesForDeepModel (0 ms)
2022-11-23T03:27:55.4198722Z [ RUN      ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForDeepModel
2022-11-23T03:27:55.4199486Z [       OK ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForDeepModel (0 ms)
2022-11-23T03:27:55.4200179Z [ RUN      ] ModuleTest.ChildrensReturnsExpectedSubmodulesForDeepModel
2022-11-23T03:27:55.4200811Z [       OK ] ModuleTest.ChildrensReturnsExpectedSubmodulesForDeepModel (0 ms)
2022-11-23T03:27:55.4201513Z [ RUN      ] ModuleTest.NamedChildrensReturnsExpectedNamedSubmodulesForDeepModel
2022-11-23T03:27:55.4202267Z [       OK ] ModuleTest.NamedChildrensReturnsExpectedNamedSubmodulesForDeepModel (0 ms)
2022-11-23T03:27:55.4202890Z [ RUN      ] ModuleTest.ModuleApplyIteratesCorreclty
2022-11-23T03:27:55.4203386Z [       OK ] ModuleTest.ModuleApplyIteratesCorreclty (0 ms)
2022-11-23T03:27:55.4203917Z [ RUN      ] ModuleTest.ConstModuleApplyIteratesCorreclty
2022-11-23T03:27:55.4204488Z [       OK ] ModuleTest.ConstModuleApplyIteratesCorreclty (0 ms)
2022-11-23T03:27:55.4205011Z [ RUN      ] ModuleTest.NamedModuleApplyIteratesCorreclty
2022-11-23T03:27:55.4205561Z [       OK ] ModuleTest.NamedModuleApplyIteratesCorreclty (0 ms)
2022-11-23T03:27:55.4206143Z [ RUN      ] ModuleTest.ConstNamedModuleApplyIteratesCorreclty
2022-11-23T03:27:55.4206747Z [       OK ] ModuleTest.ConstNamedModuleApplyIteratesCorreclty (0 ms)
2022-11-23T03:27:55.4207303Z [ RUN      ] ModuleTest.ModulePointerApplyIteratesCorreclty
2022-11-23T03:27:55.4207876Z [       OK ] ModuleTest.ModulePointerApplyIteratesCorreclty (0 ms)
2022-11-23T03:27:55.4208462Z [ RUN      ] ModuleTest.NamedModulePointerApplyIteratesCorreclty
2022-11-23T03:27:55.4209056Z [       OK ] ModuleTest.NamedModulePointerApplyIteratesCorreclty (0 ms)
2022-11-23T03:27:55.4209704Z [ RUN      ] ModuleTest.ThrowsWhenAttemptingtoGetTopLevelModuleAsSharedPtr
2022-11-23T03:27:55.4233622Z [       OK ] ModuleTest.ThrowsWhenAttemptingtoGetTopLevelModuleAsSharedPtr (3 ms)
2022-11-23T03:27:55.4234581Z [ RUN      ] ModuleTest.PrettyPrint
2022-11-23T03:27:55.4234987Z [       OK ] ModuleTest.PrettyPrint (0 ms)
2022-11-23T03:27:55.4235430Z [ RUN      ] ModuleTest.CanCallForwardOnNonTensorForwardThroughPimpl
2022-11-23T03:27:55.4236081Z [       OK ] ModuleTest.CanCallForwardOnNonTensorForwardThroughPimpl (0 ms)
2022-11-23T03:27:55.4236613Z [----------] 55 tests from ModuleTest (37 ms total)
2022-11-23T03:27:55.4236834Z 
2022-11-23T03:27:55.4237053Z [----------] 13 tests from ModuleDictTest
2022-11-23T03:27:55.4237813Z [ RUN      ] ModuleDictTest.ConstructsFromList
2022-11-23T03:27:55.4238306Z [       OK ] ModuleDictTest.ConstructsFromList (0 ms)
2022-11-23T03:27:55.4238777Z [ RUN      ] ModuleDictTest.ConstructsFromordereddict
2022-11-23T03:27:55.4239293Z [       OK ] ModuleDictTest.ConstructsFromordereddict (0 ms)
2022-11-23T03:27:55.4239809Z [ RUN      ] ModuleDictTest.UpdatePopClearContains
2022-11-23T03:27:55.4248960Z [       OK ] ModuleDictTest.UpdatePopClearContains (1 ms)
2022-11-23T03:27:55.4249569Z [ RUN      ] ModuleDictTest.UpdateExist
2022-11-23T03:27:55.4250000Z [       OK ] ModuleDictTest.UpdateExist (0 ms)
2022-11-23T03:27:55.4250289Z [ RUN      ] ModuleDictTest.Keys
2022-11-23T03:27:55.4265463Z [       OK ] ModuleDictTest.Keys (1 ms)
2022-11-23T03:27:55.4265957Z [ RUN      ] ModuleDictTest.Values
2022-11-23T03:27:55.4266407Z [       OK ] ModuleDictTest.Values (0 ms)
2022-11-23T03:27:55.4266901Z [ RUN      ] ModuleDictTest.SanityCheckForHoldingStandardModules
2022-11-23T03:27:55.4268217Z [       OK ] ModuleDictTest.SanityCheckForHoldingStandardModules (0 ms)
2022-11-23T03:27:55.4268802Z [ RUN      ] ModuleDictTest.HasReferenceSemantics
2022-11-23T03:27:55.4269588Z [       OK ] ModuleDictTest.HasReferenceSemantics (0 ms)
2022-11-23T03:27:55.4269996Z [ RUN      ] ModuleDictTest.IsCloneable
2022-11-23T03:27:55.4276882Z [       OK ] ModuleDictTest.IsCloneable (0 ms)
2022-11-23T03:27:55.4277391Z [ RUN      ] ModuleDictTest.IsCloneable_CUDA
2022-11-23T03:27:55.4298308Z [       OK ] ModuleDictTest.IsCloneable_CUDA (1 ms)
2022-11-23T03:27:55.4298837Z [ RUN      ] ModuleDictTest.RegistersElementsAsSubmodules
2022-11-23T03:27:55.4299407Z [       OK ] ModuleDictTest.RegistersElementsAsSubmodules (0 ms)
2022-11-23T03:27:55.4299925Z [ RUN      ] ModuleDictTest.CloneToDevice_CUDA
2022-11-23T03:27:55.4303518Z [       OK ] ModuleDictTest.CloneToDevice_CUDA (0 ms)
2022-11-23T03:27:55.4304100Z [ RUN      ] ModuleDictTest.PrettyPrintModuleDict
2022-11-23T03:27:55.4306149Z [       OK ] ModuleDictTest.PrettyPrintModuleDict (0 ms)
2022-11-23T03:27:55.4306892Z [----------] 13 tests from ModuleDictTest (7 ms total)
2022-11-23T03:27:55.4307412Z 
2022-11-23T03:27:55.4307821Z [----------] 16 tests from ModuleListTest
2022-11-23T03:27:55.4308733Z [ RUN      ] ModuleListTest.ConstructsFromSharedPointer
2022-11-23T03:27:55.4309270Z [       OK ] ModuleListTest.ConstructsFromSharedPointer (0 ms)
2022-11-23T03:27:55.4309810Z [ RUN      ] ModuleListTest.ConstructsFromConcreteType
2022-11-23T03:27:55.4310320Z [       OK ] ModuleListTest.ConstructsFromConcreteType (0 ms)
2022-11-23T03:27:55.4310842Z [ RUN      ] ModuleListTest.ConstructsFromModuleHolder
2022-11-23T03:27:55.4311379Z [       OK ] ModuleListTest.ConstructsFromModuleHolder (0 ms)
2022-11-23T03:27:55.4311858Z [ RUN      ] ModuleListTest.PushBackAddsAnElement
2022-11-23T03:27:55.4312351Z [       OK ] ModuleListTest.PushBackAddsAnElement (0 ms)
2022-11-23T03:27:55.4312788Z [ RUN      ] ModuleListTest.Insertion
2022-11-23T03:27:55.4313211Z [       OK ] ModuleListTest.Insertion (0 ms)
2022-11-23T03:27:55.4313608Z [ RUN      ] ModuleListTest.AccessWithAt
2022-11-23T03:27:55.4339986Z [       OK ] ModuleListTest.AccessWithAt (2 ms)
2022-11-23T03:27:55.4340463Z [ RUN      ] ModuleListTest.AccessWithPtr
2022-11-23T03:27:55.4367337Z [       OK ] ModuleListTest.AccessWithPtr (2 ms)
2022-11-23T03:27:55.4367906Z [ RUN      ] ModuleListTest.SanityCheckForHoldingStandardModules
2022-11-23T03:27:55.4368903Z [       OK ] ModuleListTest.SanityCheckForHoldingStandardModules (0 ms)
2022-11-23T03:27:55.4370007Z [ RUN      ] ModuleListTest.ExtendPushesModulesFromOtherModuleList
2022-11-23T03:27:55.4370620Z [       OK ] ModuleListTest.ExtendPushesModulesFromOtherModuleList (0 ms)
2022-11-23T03:27:55.4371174Z [ RUN      ] ModuleListTest.HasReferenceSemantics
2022-11-23T03:27:55.4371665Z [       OK ] ModuleListTest.HasReferenceSemantics (0 ms)
2022-11-23T03:27:55.4372098Z [ RUN      ] ModuleListTest.IsCloneable
2022-11-23T03:27:55.4376658Z [       OK ] ModuleListTest.IsCloneable (0 ms)
2022-11-23T03:27:55.4378033Z [ RUN      ] ModuleListTest.RegistersElementsAsSubmodules
2022-11-23T03:27:55.4378568Z [       OK ] ModuleListTest.RegistersElementsAsSubmodules (0 ms)
2022-11-23T03:27:55.4379034Z [ RUN      ] ModuleListTest.NestingIsPossible
2022-11-23T03:27:55.4379470Z [       OK ] ModuleListTest.NestingIsPossible (0 ms)
2022-11-23T03:27:55.4379940Z [ RUN      ] ModuleListTest.CloneToDevice_CUDA
2022-11-23T03:27:55.4381797Z [       OK ] ModuleListTest.CloneToDevice_CUDA (0 ms)
2022-11-23T03:27:55.4382315Z [ RUN      ] ModuleListTest.PrettyPrintModuleList
2022-11-23T03:27:55.4384250Z [       OK ] ModuleListTest.PrettyPrintModuleList (0 ms)
2022-11-23T03:27:55.4384701Z [ RUN      ] ModuleListTest.RangeBasedForLoop
2022-11-23T03:27:55.4385737Z [       OK ] ModuleListTest.RangeBasedForLoop (0 ms)
2022-11-23T03:27:55.4386191Z [----------] 16 tests from ModuleListTest (7 ms total)
2022-11-23T03:27:55.4386415Z 
2022-11-23T03:27:55.4386631Z [----------] 258 tests from ModulesTest
2022-11-23T03:27:55.4386994Z [ RUN      ] ModulesTest.Conv1d
2022-11-23T03:27:55.4405763Z [       OK ] ModulesTest.Conv1d (1 ms)
2022-11-23T03:27:55.4406245Z [ RUN      ] ModulesTest.Conv1dSameStrided
2022-11-23T03:27:55.4436260Z [       OK ] ModulesTest.Conv1dSameStrided (2 ms)
2022-11-23T03:27:55.4436693Z [ RUN      ] ModulesTest.Conv2dEven
2022-11-23T03:27:55.4443056Z [       OK ] ModulesTest.Conv2dEven (0 ms)
2022-11-23T03:27:55.4443515Z [ RUN      ] ModulesTest.Conv2dUneven
2022-11-23T03:27:55.4446314Z [       OK ] ModulesTest.Conv2dUneven (0 ms)
2022-11-23T03:27:55.4446768Z [ RUN      ] ModulesTest.Conv2dSameStrided
2022-11-23T03:27:55.4507516Z [       OK ] ModulesTest.Conv2dSameStrided (5 ms)
2022-11-23T03:27:55.4508004Z [ RUN      ] ModulesTest.Conv3d
2022-11-23T03:27:55.4515619Z [       OK ] ModulesTest.Conv3d (1 ms)
2022-11-23T03:27:55.4516065Z [ RUN      ] ModulesTest.Conv3dSameStrided
2022-11-23T03:27:55.4574404Z [       OK ] ModulesTest.Conv3dSameStrided (5 ms)
2022-11-23T03:27:55.4574924Z [ RUN      ] ModulesTest.ConvTranspose1d
2022-11-23T03:27:55.4580314Z [       OK ] ModulesTest.ConvTranspose1d (0 ms)
2022-11-23T03:27:55.4580845Z [ RUN      ] ModulesTest.ConvTranspose2dEven
2022-11-23T03:27:55.4586511Z [       OK ] ModulesTest.ConvTranspose2dEven (0 ms)
2022-11-23T03:27:55.4587059Z [ RUN      ] ModulesTest.ConvTranspose2dUneven
2022-11-23T03:27:55.4592016Z [       OK ] ModulesTest.ConvTranspose2dUneven (0 ms)
2022-11-23T03:27:55.4592529Z [ RUN      ] ModulesTest.ConvTranspose3d
2022-11-23T03:27:55.4596894Z [       OK ] ModulesTest.ConvTranspose3d (0 ms)
2022-11-23T03:27:55.4597392Z [ RUN      ] ModulesTest.MaxPool1d
2022-11-23T03:27:55.4600355Z [       OK ] ModulesTest.MaxPool1d (0 ms)
2022-11-23T03:27:55.4600875Z [ RUN      ] ModulesTest.MaxPool1dReturnIndices
2022-11-23T03:27:55.4603239Z [       OK ] ModulesTest.MaxPool1dReturnIndices (0 ms)
2022-11-23T03:27:55.4603735Z [ RUN      ] ModulesTest.MaxPool2dEven
2022-11-23T03:27:55.4605965Z [       OK ] ModulesTest.MaxPool2dEven (0 ms)
2022-11-23T03:27:55.4606396Z [ RUN      ] ModulesTest.MaxPool2dUneven
2022-11-23T03:27:55.4608663Z [       OK ] ModulesTest.MaxPool2dUneven (0 ms)
2022-11-23T03:27:55.4609632Z [ RUN      ] ModulesTest.MaxPool2dReturnIndices
2022-11-23T03:27:55.4610649Z [       OK ] ModulesTest.MaxPool2dReturnIndices (0 ms)
2022-11-23T03:27:55.4611055Z [ RUN      ] ModulesTest.MaxPool3d
2022-11-23T03:27:55.4613698Z [       OK ] ModulesTest.MaxPool3d (0 ms)
2022-11-23T03:27:55.4614218Z [ RUN      ] ModulesTest.MaxPool3dReturnIndices
2022-11-23T03:27:55.4616419Z [       OK ] ModulesTest.MaxPool3dReturnIndices (0 ms)
2022-11-23T03:27:55.4617194Z [ RUN      ] ModulesTest.AvgPool1d
2022-11-23T03:27:55.4618814Z [       OK ] ModulesTest.AvgPool1d (0 ms)
2022-11-23T03:27:55.4619239Z [ RUN      ] ModulesTest.AvgPool2dEven
2022-11-23T03:27:55.4621360Z [       OK ] ModulesTest.AvgPool2dEven (0 ms)
2022-11-23T03:27:55.4621923Z [ RUN      ] ModulesTest.AvgPool2dUneven
2022-11-23T03:27:55.4622861Z [       OK ] ModulesTest.AvgPool2dUneven (0 ms)
2022-11-23T03:27:55.4623375Z [ RUN      ] ModulesTest.AvgPool3d
2022-11-23T03:27:55.4625555Z [       OK ] ModulesTest.AvgPool3d (0 ms)
2022-11-23T03:27:55.4626023Z [ RUN      ] ModulesTest.FractionalMaxPool2d
2022-11-23T03:27:55.4628441Z [       OK ] ModulesTest.FractionalMaxPool2d (0 ms)
2022-11-23T03:27:55.4629343Z [ RUN      ] ModulesTest.FractionalMaxPool2dReturnIndices
2022-11-23T03:27:55.4630415Z [       OK ] ModulesTest.FractionalMaxPool2dReturnIndices (0 ms)
2022-11-23T03:27:55.4630950Z [ RUN      ] ModulesTest.FractionalMaxPool3d
2022-11-23T03:27:55.4633226Z [       OK ] ModulesTest.FractionalMaxPool3d (0 ms)
2022-11-23T03:27:55.4633768Z [ RUN      ] ModulesTest.FractionalMaxPool3dReturnIndices
2022-11-23T03:27:55.4636165Z [       OK ] ModulesTest.FractionalMaxPool3dReturnIndices (0 ms)
2022-11-23T03:27:55.4636575Z [ RUN      ] ModulesTest.LPPool1d
2022-11-23T03:27:55.4637908Z [       OK ] ModulesTest.LPPool1d (0 ms)
2022-11-23T03:27:55.4638294Z [ RUN      ] ModulesTest.LPPool2d
2022-11-23T03:27:55.4640190Z [       OK ] ModulesTest.LPPool2d (0 ms)
2022-11-23T03:27:55.4640713Z [ RUN      ] ModulesTest.Identity
2022-11-23T03:27:55.4641569Z [       OK ] ModulesTest.Identity (0 ms)
2022-11-23T03:27:55.4641945Z [ RUN      ] ModulesTest.Flatten
2022-11-23T03:27:55.4645632Z [       OK ] ModulesTest.Flatten (0 ms)
2022-11-23T03:27:55.4646069Z [ RUN      ] ModulesTest.Unflatten
2022-11-23T03:27:55.4646687Z [W TensorImpl.h:1787] Warning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (function operator())
2022-11-23T03:27:55.4647306Z [       OK ] ModulesTest.Unflatten (0 ms)
2022-11-23T03:27:55.4647701Z [ RUN      ] ModulesTest.AdaptiveMaxPool1d
2022-11-23T03:27:55.4650415Z [       OK ] ModulesTest.AdaptiveMaxPool1d (0 ms)
2022-11-23T03:27:55.4651008Z [ RUN      ] ModulesTest.AdaptiveMaxPool1dReturnIndices
2022-11-23T03:27:55.4652697Z [       OK ] ModulesTest.AdaptiveMaxPool1dReturnIndices (0 ms)
2022-11-23T03:27:55.4653288Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dEven
2022-11-23T03:27:55.4655823Z [       OK ] ModulesTest.AdaptiveMaxPool2dEven (0 ms)
2022-11-23T03:27:55.4656387Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dUneven
2022-11-23T03:27:55.4657846Z [       OK ] ModulesTest.AdaptiveMaxPool2dUneven (0 ms)
2022-11-23T03:27:55.4658385Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dReturnIndicesEven
2022-11-23T03:27:55.4661450Z [       OK ] ModulesTest.AdaptiveMaxPool2dReturnIndicesEven (0 ms)
2022-11-23T03:27:55.4662038Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dReturnIndicesUneven
2022-11-23T03:27:55.4664551Z [       OK ] ModulesTest.AdaptiveMaxPool2dReturnIndicesUneven (0 ms)
2022-11-23T03:27:55.4665450Z [ RUN      ] ModulesTest.AdaptiveMaxPool3d
2022-11-23T03:27:55.4667585Z [       OK ] ModulesTest.AdaptiveMaxPool3d (0 ms)
2022-11-23T03:27:55.4668086Z [ RUN      ] ModulesTest.AdaptiveMaxPool3dReturnIndices
2022-11-23T03:27:55.4671295Z [       OK ] ModulesTest.AdaptiveMaxPool3dReturnIndices (0 ms)
2022-11-23T03:27:55.4671808Z [ RUN      ] ModulesTest.AdaptiveAvgPool1d
2022-11-23T03:27:55.4674013Z [       OK ] ModulesTest.AdaptiveAvgPool1d (0 ms)
2022-11-23T03:27:55.4674503Z [ RUN      ] ModulesTest.AdaptiveAvgPool2dEven
2022-11-23T03:27:55.4676062Z [       OK ] ModulesTest.AdaptiveAvgPool2dEven (0 ms)
2022-11-23T03:27:55.4676555Z [ RUN      ] ModulesTest.AdaptiveAvgPool2dUneven
2022-11-23T03:27:55.4678816Z [       OK ] ModulesTest.AdaptiveAvgPool2dUneven (0 ms)
2022-11-23T03:27:55.4679284Z [ RUN      ] ModulesTest.AdaptiveAvgPool3d
2022-11-23T03:27:55.4681667Z [       OK ] ModulesTest.AdaptiveAvgPool3d (0 ms)
2022-11-23T03:27:55.4682039Z [ RUN      ] ModulesTest.MaxUnpool1d
2022-11-23T03:27:55.4684354Z [       OK ] ModulesTest.MaxUnpool1d (0 ms)
2022-11-23T03:27:55.4684766Z [ RUN      ] ModulesTest.MaxPool1d_MaxUnpool1d
2022-11-23T03:27:55.4687924Z [       OK ] ModulesTest.MaxPool1d_MaxUnpool1d (0 ms)
2022-11-23T03:27:55.4688630Z [ RUN      ] ModulesTest.MaxUnpool2d
2022-11-23T03:27:55.4690406Z [       OK ] ModulesTest.MaxUnpool2d (0 ms)
2022-11-23T03:27:55.4690811Z [ RUN      ] ModulesTest.MaxPool2d_MaxUnpool2d
2022-11-23T03:27:55.4693570Z [       OK ] ModulesTest.MaxPool2d_MaxUnpool2d (0 ms)
2022-11-23T03:27:55.4694266Z [ RUN      ] ModulesTest.MaxUnpool3d
2022-11-23T03:27:55.4695344Z [       OK ] ModulesTest.MaxUnpool3d (0 ms)
2022-11-23T03:27:55.4695748Z [ RUN      ] ModulesTest.MaxUnpool3dOutputSize
2022-11-23T03:27:55.4698473Z [       OK ] ModulesTest.MaxUnpool3dOutputSize (0 ms)
2022-11-23T03:27:55.4698939Z [ RUN      ] ModulesTest.MaxPool3d_MaxUnpool3d
2022-11-23T03:27:55.5951810Z [       OK ] ModulesTest.MaxPool3d_MaxUnpool3d (124 ms)
2022-11-23T03:27:55.5952331Z [ RUN      ] ModulesTest.Linear
2022-11-23T03:27:55.5956742Z [       OK ] ModulesTest.Linear (0 ms)
2022-11-23T03:27:55.5957143Z [ RUN      ] ModulesTest.LocalResponseNorm
2022-11-23T03:27:55.5963231Z [       OK ] ModulesTest.LocalResponseNorm (0 ms)
2022-11-23T03:27:55.5963639Z [ RUN      ] ModulesTest.LayerNorm
2022-11-23T03:27:55.5966124Z [       OK ] ModulesTest.LayerNorm (0 ms)
2022-11-23T03:27:55.5966508Z [ RUN      ] ModulesTest.GroupNorm
2022-11-23T03:27:55.5969386Z [       OK ] ModulesTest.GroupNorm (0 ms)
2022-11-23T03:27:55.5969727Z [ RUN      ] ModulesTest.Bilinear
2022-11-23T03:27:55.5974535Z [       OK ] ModulesTest.Bilinear (0 ms)
2022-11-23T03:27:55.5974825Z [ RUN      ] ModulesTest.Fold
2022-11-23T03:27:55.6007944Z [       OK ] ModulesTest.Fold (3 ms)
2022-11-23T03:27:55.6008361Z [ RUN      ] ModulesTest.Unfold
2022-11-23T03:27:55.6091635Z [       OK ] ModulesTest.Unfold (8 ms)
2022-11-23T03:27:55.6092056Z [ RUN      ] ModulesTest.SimpleContainer
2022-11-23T03:27:55.6109910Z [       OK ] ModulesTest.SimpleContainer (1 ms)
2022-11-23T03:27:55.6110335Z [ RUN      ] ModulesTest.EmbeddingBasic
2022-11-23T03:27:55.6111064Z [       OK ] ModulesTest.EmbeddingBasic (0 ms)
2022-11-23T03:27:55.6111546Z [ RUN      ] ModulesTest.EmbeddingList
2022-11-23T03:27:55.6112373Z [       OK ] ModulesTest.EmbeddingList (0 ms)
2022-11-23T03:27:55.6113214Z [ RUN      ] ModulesTest.EmbeddingFromPretrained
2022-11-23T03:27:55.6114149Z [       OK ] ModulesTest.EmbeddingFromPretrained (0 ms)
2022-11-23T03:27:55.6114623Z [ RUN      ] ModulesTest.EmbeddingBagFromPretrained
2022-11-23T03:27:55.6117239Z [       OK ] ModulesTest.EmbeddingBagFromPretrained (0 ms)
2022-11-23T03:27:55.6117931Z [ RUN      ] ModulesTest.AlphaDropout
2022-11-23T03:27:55.6118794Z [       OK ] ModulesTest.AlphaDropout (0 ms)
2022-11-23T03:27:55.6119648Z [ RUN      ] ModulesTest.FeatureAlphaDropout
2022-11-23T03:27:55.6120992Z [       OK ] ModulesTest.FeatureAlphaDropout (0 ms)
2022-11-23T03:27:55.6121448Z [ RUN      ] ModulesTest.Dropout
2022-11-23T03:27:55.6123913Z [       OK ] ModulesTest.Dropout (0 ms)
2022-11-23T03:27:55.6124340Z [ RUN      ] ModulesTest.Dropout2d
2022-11-23T03:27:55.6130472Z [       OK ] ModulesTest.Dropout2d (0 ms)
2022-11-23T03:27:55.6130872Z [ RUN      ] ModulesTest.Dropout3d
2022-11-23T03:27:55.6139581Z [       OK ] ModulesTest.Dropout3d (0 ms)
2022-11-23T03:27:55.6140066Z [ RUN      ] ModulesTest.Parameters
2022-11-23T03:27:55.6140747Z [       OK ] ModulesTest.Parameters (0 ms)
2022-11-23T03:27:55.6141468Z [ RUN      ] ModulesTest.FunctionalCallsSuppliedFunction
2022-11-23T03:27:55.6142278Z [       OK ] ModulesTest.FunctionalCallsSuppliedFunction (0 ms)
2022-11-23T03:27:55.6142772Z [ RUN      ] ModulesTest.FunctionalWithTorchFunction
2022-11-23T03:27:55.6143704Z [       OK ] ModulesTest.FunctionalWithTorchFunction (0 ms)
2022-11-23T03:27:55.6144176Z [ RUN      ] ModulesTest.FunctionalArgumentBinding
2022-11-23T03:27:55.6144663Z [       OK ] ModulesTest.FunctionalArgumentBinding (0 ms)
2022-11-23T03:27:55.6145125Z [ RUN      ] ModulesTest.BatchNorm1dStateful
2022-11-23T03:27:55.6145571Z [       OK ] ModulesTest.BatchNorm1dStateful (0 ms)
2022-11-23T03:27:55.6146100Z [ RUN      ] ModulesTest.BatchNorm1dStateless
2022-11-23T03:27:55.6146674Z [       OK ] ModulesTest.BatchNorm1dStateless (0 ms)
2022-11-23T03:27:55.6147193Z [ RUN      ] ModulesTest.BatchNorm1d
2022-11-23T03:27:55.6147859Z [       OK ] ModulesTest.BatchNorm1d (0 ms)
2022-11-23T03:27:55.6148346Z [ RUN      ] ModulesTest.BatchNorm2dStateful
2022-11-23T03:27:55.6148777Z [       OK ] ModulesTest.BatchNorm2dStateful (0 ms)
2022-11-23T03:27:55.6149205Z [ RUN      ] ModulesTest.BatchNorm2dStateless
2022-11-23T03:27:55.6149695Z [       OK ] ModulesTest.BatchNorm2dStateless (0 ms)
2022-11-23T03:27:55.6149995Z [ RUN      ] ModulesTest.BatchNorm2d
2022-11-23T03:27:55.6152788Z [       OK ] ModulesTest.BatchNorm2d (0 ms)
2022-11-23T03:27:55.6153592Z [ RUN      ] ModulesTest.BatchNorm3dStateful
2022-11-23T03:27:55.6154119Z [       OK ] ModulesTest.BatchNorm3dStateful (0 ms)
2022-11-23T03:27:55.6154476Z [ RUN      ] ModulesTest.BatchNorm3dStateless
2022-11-23T03:27:55.6154930Z [       OK ] ModulesTest.BatchNorm3dStateless (0 ms)
2022-11-23T03:27:55.6155352Z [ RUN      ] ModulesTest.BatchNorm3d
2022-11-23T03:27:55.6159515Z [       OK ] ModulesTest.BatchNorm3d (0 ms)
2022-11-23T03:27:55.6159996Z [ RUN      ] ModulesTest.InstanceNorm1dStateful
2022-11-23T03:27:55.6160659Z [       OK ] ModulesTest.InstanceNorm1dStateful (0 ms)
2022-11-23T03:27:55.6161119Z [ RUN      ] ModulesTest.InstanceNorm1dStateless
2022-11-23T03:27:55.6161675Z [       OK ] ModulesTest.InstanceNorm1dStateless (0 ms)
2022-11-23T03:27:55.6162189Z [ RUN      ] ModulesTest.InstanceNorm1d
2022-11-23T03:27:55.6163244Z [       OK ] ModulesTest.InstanceNorm1d (0 ms)
2022-11-23T03:27:55.6163854Z [ RUN      ] ModulesTest.InstanceNorm2dStateful
2022-11-23T03:27:55.6164250Z [       OK ] ModulesTest.InstanceNorm2dStateful (0 ms)
2022-11-23T03:27:55.6164720Z [ RUN      ] ModulesTest.InstanceNorm2dStateless
2022-11-23T03:27:55.6165235Z [       OK ] ModulesTest.InstanceNorm2dStateless (0 ms)
2022-11-23T03:27:55.6166126Z [ RUN      ] ModulesTest.InstanceNorm2d
2022-11-23T03:27:55.6167608Z [       OK ] ModulesTest.InstanceNorm2d (0 ms)
2022-11-23T03:27:55.6168268Z [ RUN      ] ModulesTest.InstanceNorm3dStateful
2022-11-23T03:27:55.6168772Z [       OK ] ModulesTest.InstanceNorm3dStateful (0 ms)
2022-11-23T03:27:55.6169169Z [ RUN      ] ModulesTest.InstanceNorm3dStateless
2022-11-23T03:27:55.6169640Z [       OK ] ModulesTest.InstanceNorm3dStateless (0 ms)
2022-11-23T03:27:55.6170070Z [ RUN      ] ModulesTest.InstanceNorm3d
2022-11-23T03:27:55.6173621Z [       OK ] ModulesTest.InstanceNorm3d (0 ms)
2022-11-23T03:27:55.6174034Z [ RUN      ] ModulesTest.Linear_CUDA
2022-11-23T03:27:55.6182266Z [       OK ] ModulesTest.Linear_CUDA (0 ms)
2022-11-23T03:27:55.6182674Z [ RUN      ] ModulesTest.Linear2_CUDA
2022-11-23T03:27:55.6185860Z [       OK ] ModulesTest.Linear2_CUDA (0 ms)
2022-11-23T03:27:55.6186195Z [ RUN      ] ModulesTest.L1Loss
2022-11-23T03:27:55.6188352Z [       OK ] ModulesTest.L1Loss (0 ms)
2022-11-23T03:27:55.6189427Z [ RUN      ] ModulesTest.MSELoss
2022-11-23T03:27:55.6190173Z [       OK ] ModulesTest.MSELoss (0 ms)
2022-11-23T03:27:55.6190680Z [ RUN      ] ModulesTest.BCELoss
2022-11-23T03:27:55.6192485Z [       OK ] ModulesTest.BCELoss (0 ms)
2022-11-23T03:27:55.6192984Z [ RUN      ] ModulesTest.KLDivLoss
2022-11-23T03:27:55.6194227Z [W loss.h:57] Warning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (function kl_div)
2022-11-23T03:27:55.6195155Z [       OK ] ModulesTest.KLDivLoss (0 ms)
2022-11-23T03:27:55.6195733Z [ RUN      ] ModulesTest.HingeEmbeddingLoss
2022-11-23T03:27:55.6198782Z [       OK ] ModulesTest.HingeEmbeddingLoss (0 ms)
2022-11-23T03:27:55.6199448Z [ RUN      ] ModulesTest.MultiMarginLoss
2022-11-23T03:27:55.6201525Z [       OK ] ModulesTest.MultiMarginLoss (0 ms)
2022-11-23T03:27:55.6202171Z [ RUN      ] ModulesTest.CosineEmbeddingLoss
2022-11-23T03:27:55.6207431Z [       OK ] ModulesTest.CosineEmbeddingLoss (0 ms)
2022-11-23T03:27:55.6208227Z [ RUN      ] ModulesTest.SmoothL1LossDefaultOptions
2022-11-23T03:27:55.6209729Z [       OK ] ModulesTest.SmoothL1LossDefaultOptions (0 ms)
2022-11-23T03:27:55.6210113Z [ RUN      ] ModulesTest.HuberLossDefaultOptions
2022-11-23T03:27:55.6212165Z [       OK ] ModulesTest.HuberLossDefaultOptions (0 ms)
2022-11-23T03:27:55.6212946Z [ RUN      ] ModulesTest.MultiLabelMarginLossDefaultOptions
2022-11-23T03:27:55.6214282Z [       OK ] ModulesTest.MultiLabelMarginLossDefaultOptions (0 ms)
2022-11-23T03:27:55.6214736Z [ RUN      ] ModulesTest.SmoothL1LossNoReduction
2022-11-23T03:27:55.6216496Z [       OK ] ModulesTest.SmoothL1LossNoReduction (0 ms)
2022-11-23T03:27:55.6217248Z [ RUN      ] ModulesTest.HuberLossNoReduction
2022-11-23T03:27:55.6218280Z [       OK ] ModulesTest.HuberLossNoReduction (0 ms)
2022-11-23T03:27:55.6218695Z [ RUN      ] ModulesTest.MultiLabelMarginLossNoReduction
2022-11-23T03:27:55.6220935Z [       OK ] ModulesTest.MultiLabelMarginLossNoReduction (0 ms)
2022-11-23T03:27:55.6221753Z [ RUN      ] ModulesTest.SmoothL1LossBeta
2022-11-23T03:27:55.6222716Z [       OK ] ModulesTest.SmoothL1LossBeta (0 ms)
2022-11-23T03:27:55.6223154Z [ RUN      ] ModulesTest.HuberLossDelta
2022-11-23T03:27:55.6224769Z [       OK ] ModulesTest.HuberLossDelta (0 ms)
2022-11-23T03:27:55.6225088Z [ RUN      ] ModulesTest.TripletMarginLoss
2022-11-23T03:27:55.6229795Z [       OK ] ModulesTest.TripletMarginLoss (0 ms)
2022-11-23T03:27:55.6230882Z [ RUN      ] ModulesTest.TripletMarginWithDistanceLossDefaultParity
2022-11-23T03:27:55.6493669Z [       OK ] ModulesTest.TripletMarginWithDistanceLossDefaultParity (25 ms)
2022-11-23T03:27:55.6494343Z [ RUN      ] ModulesTest.TripletMarginWithDistanceLossFunctionalParity
2022-11-23T03:27:55.6941042Z [       OK ] ModulesTest.TripletMarginWithDistanceLossFunctionalParity (44 ms)
2022-11-23T03:27:55.6941556Z [ RUN      ] ModulesTest.NLLLoss
2022-11-23T03:27:55.6942493Z [       OK ] ModulesTest.NLLLoss (0 ms)
2022-11-23T03:27:55.6942835Z [ RUN      ] ModulesTest.CrossEntropyLoss
2022-11-23T03:27:55.6954669Z [       OK ] ModulesTest.CrossEntropyLoss (1 ms)
2022-11-23T03:27:55.6955122Z [ RUN      ] ModulesTest.CosineSimilarity
2022-11-23T03:27:55.6958694Z [       OK ] ModulesTest.CosineSimilarity (0 ms)
2022-11-23T03:27:55.6961688Z [ RUN      ] ModulesTest.SoftMarginLossDefaultOptions
2022-11-23T03:27:55.6962241Z [       OK ] ModulesTest.SoftMarginLossDefaultOptions (0 ms)
2022-11-23T03:27:55.6962765Z [ RUN      ] ModulesTest.MultiLabelSoftMarginLossDefaultOptions
2022-11-23T03:27:55.6966174Z [       OK ] ModulesTest.MultiLabelSoftMarginLossDefaultOptions (0 ms)
2022-11-23T03:27:55.6966681Z [ RUN      ] ModulesTest.SoftMarginLossNoReduction
2022-11-23T03:27:55.6968892Z [       OK ] ModulesTest.SoftMarginLossNoReduction (0 ms)
2022-11-23T03:27:55.6969449Z [ RUN      ] ModulesTest.MultiLabelSoftMarginLossWeightedNoReduction
2022-11-23T03:27:55.6972719Z [       OK ] ModulesTest.MultiLabelSoftMarginLossWeightedNoReduction (0 ms)
2022-11-23T03:27:55.6973266Z [ RUN      ] ModulesTest.PairwiseDistance
2022-11-23T03:27:55.6975372Z [       OK ] ModulesTest.PairwiseDistance (0 ms)
2022-11-23T03:27:55.6975763Z [ RUN      ] ModulesTest.ELU
2022-11-23T03:27:55.6994508Z [       OK ] ModulesTest.ELU (1 ms)
2022-11-23T03:27:55.6994868Z [ RUN      ] ModulesTest.SELU
2022-11-23T03:27:55.6998036Z [       OK ] ModulesTest.SELU (0 ms)
2022-11-23T03:27:55.6998369Z [ RUN      ] ModulesTest.Hardshrink
2022-11-23T03:27:55.7010943Z [       OK ] ModulesTest.Hardshrink (1 ms)
2022-11-23T03:27:55.7011265Z [ RUN      ] ModulesTest.Hardtanh
2022-11-23T03:27:55.7059795Z [       OK ] ModulesTest.Hardtanh (4 ms)
2022-11-23T03:27:55.7060262Z [ RUN      ] ModulesTest.HardtanhMinValGEMaxVal
2022-11-23T03:27:55.7154767Z [       OK ] ModulesTest.HardtanhMinValGEMaxVal (9 ms)
2022-11-23T03:27:55.7155263Z [ RUN      ] ModulesTest.LeakyReLU
2022-11-23T03:27:55.7175897Z [       OK ] ModulesTest.LeakyReLU (2 ms)
2022-11-23T03:27:55.7176883Z [ RUN      ] ModulesTest.LogSigmoid
2022-11-23T03:27:55.7177927Z [       OK ] ModulesTest.LogSigmoid (0 ms)
2022-11-23T03:27:55.7178401Z [ RUN      ] ModulesTest.Softmax
2022-11-23T03:27:55.7180731Z [       OK ] ModulesTest.Softmax (0 ms)
2022-11-23T03:27:55.7181083Z [ RUN      ] ModulesTest.Softmin
2022-11-23T03:27:55.7182268Z [       OK ] ModulesTest.Softmin (0 ms)
2022-11-23T03:27:55.7182704Z [ RUN      ] ModulesTest.LogSoftmax
2022-11-23T03:27:55.7184562Z [       OK ] ModulesTest.LogSoftmax (0 ms)
2022-11-23T03:27:55.7185114Z [ RUN      ] ModulesTest.AdaptiveLogSoftmaxWithLoss
2022-11-23T03:27:55.7227330Z [       OK ] ModulesTest.AdaptiveLogSoftmaxWithLoss (3 ms)
2022-11-23T03:27:55.7228005Z [ RUN      ] ModulesTest.Softmax2d
2022-11-23T03:27:55.7240866Z [       OK ] ModulesTest.Softmax2d (1 ms)
2022-11-23T03:27:55.7241453Z [ RUN      ] ModulesTest.PReLU
2022-11-23T03:27:55.7247903Z [       OK ] ModulesTest.PReLU (0 ms)
2022-11-23T03:27:55.7248540Z [ RUN      ] ModulesTest.ReLU
2022-11-23T03:27:55.7252139Z [       OK ] ModulesTest.ReLU (0 ms)
2022-11-23T03:27:55.7253230Z [ RUN      ] ModulesTest.ReLU6
2022-11-23T03:27:55.7256828Z [       OK ] ModulesTest.ReLU6 (0 ms)
2022-11-23T03:27:55.7257484Z [ RUN      ] ModulesTest.RReLU
2022-11-23T03:27:55.7324115Z [       OK ] ModulesTest.RReLU (6 ms)
2022-11-23T03:27:55.7324568Z [ RUN      ] ModulesTest.CELU
2022-11-23T03:27:55.7340839Z [       OK ] ModulesTest.CELU (1 ms)
2022-11-23T03:27:55.7341257Z [ RUN      ] ModulesTest.GLU
2022-11-23T03:27:55.7343338Z [       OK ] ModulesTest.GLU (0 ms)
2022-11-23T03:27:55.7343843Z [ RUN      ] ModulesTest.GELU
2022-11-23T03:27:55.7346305Z [       OK ] ModulesTest.GELU (0 ms)
2022-11-23T03:27:55.7346853Z [ RUN      ] ModulesTest.TanhGELU
2022-11-23T03:27:55.7347354Z [       OK ] ModulesTest.TanhGELU (0 ms)
2022-11-23T03:27:55.7347699Z [ RUN      ] ModulesTest.Mish
2022-11-23T03:27:55.7349119Z [       OK ] ModulesTest.Mish (0 ms)
2022-11-23T03:27:55.7349518Z [ RUN      ] ModulesTest.Sigmoid
2022-11-23T03:27:55.7350580Z [       OK ] ModulesTest.Sigmoid (0 ms)
2022-11-23T03:27:55.7351187Z [ RUN      ] ModulesTest.PixelShuffle
2022-11-23T03:27:55.7352305Z [       OK ] ModulesTest.PixelShuffle (0 ms)
2022-11-23T03:27:55.7353036Z [ RUN      ] ModulesTest.PixelUnshuffle
2022-11-23T03:27:55.7355232Z [       OK ] ModulesTest.PixelUnshuffle (0 ms)
2022-11-23T03:27:55.7355632Z [ RUN      ] ModulesTest.Softplus
2022-11-23T03:27:55.7364524Z [       OK ] ModulesTest.Softplus (0 ms)
2022-11-23T03:27:55.7364924Z [ RUN      ] ModulesTest.Softshrink
2022-11-23T03:27:55.7374300Z [       OK ] ModulesTest.Softshrink (0 ms)
2022-11-23T03:27:55.7374690Z [ RUN      ] ModulesTest.Softsign
2022-11-23T03:27:55.7375359Z [       OK ] ModulesTest.Softsign (0 ms)
2022-11-23T03:27:55.7375731Z [ RUN      ] ModulesTest.Tanh
2022-11-23T03:27:55.7377271Z [       OK ] ModulesTest.Tanh (0 ms)
2022-11-23T03:27:55.7377640Z [ RUN      ] ModulesTest.Tanhshrink
2022-11-23T03:27:55.7378044Z [       OK ] ModulesTest.Tanhshrink (0 ms)
2022-11-23T03:27:55.7378425Z [ RUN      ] ModulesTest.Threshold
2022-11-23T03:27:55.7398184Z [       OK ] ModulesTest.Threshold (1 ms)
2022-11-23T03:27:55.7398659Z [ RUN      ] ModulesTest.Upsampling1D
2022-11-23T03:27:55.7400331Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:27:55.7403955Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:27:55.7407161Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:27:55.7409133Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:27:55.7413035Z [       OK ] ModulesTest.Upsampling1D (1 ms)
2022-11-23T03:27:55.7413619Z [ RUN      ] ModulesTest.Upsampling2D
2022-11-23T03:27:55.7415898Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:27:55.7418011Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:27:55.7421385Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:27:55.7422888Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:27:55.7425804Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:27:55.7427796Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:27:55.7431827Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:27:55.7433470Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:27:55.7437153Z [       OK ] ModulesTest.Upsampling2D (2 ms)
2022-11-23T03:27:55.7437716Z [ RUN      ] ModulesTest.Upsampling3D
2022-11-23T03:27:55.7439890Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:27:55.7441697Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:27:55.7444885Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:27:55.7446509Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T03:27:55.7449401Z [       OK ] ModulesTest.Upsampling3D (1 ms)
2022-11-23T03:27:55.7449953Z [ RUN      ] ModulesTest.CTCLoss
2022-11-23T03:27:55.7454980Z [       OK ] ModulesTest.CTCLoss (0 ms)
2022-11-23T03:27:55.7455378Z [ RUN      ] ModulesTest.PoissonNLLLoss
2022-11-23T03:27:55.7458188Z [       OK ] ModulesTest.PoissonNLLLoss (0 ms)
2022-11-23T03:27:55.7458630Z [ RUN      ] ModulesTest.MarginRankingLoss
2022-11-23T03:27:55.7462786Z [       OK ] ModulesTest.MarginRankingLoss (0 ms)
2022-11-23T03:27:55.7463228Z [ RUN      ] ModulesTest.BCEWithLogitsLoss
2022-11-23T03:27:55.7543780Z [       OK ] ModulesTest.BCEWithLogitsLoss (7 ms)
2022-11-23T03:27:55.7544183Z [ RUN      ] ModulesTest.MultiheadAttention
2022-11-23T03:28:09.4770369Z [       OK ] ModulesTest.MultiheadAttention (13722 ms)
2022-11-23T03:28:09.4771198Z [ RUN      ] ModulesTest.PrettyPrintIdentity
2022-11-23T03:28:09.4771657Z [       OK ] ModulesTest.PrettyPrintIdentity (0 ms)
2022-11-23T03:28:09.4772383Z [ RUN      ] ModulesTest.PrettyPrintFlatten
2022-11-23T03:28:09.4772856Z [       OK ] ModulesTest.PrettyPrintFlatten (0 ms)
2022-11-23T03:28:09.4773402Z [ RUN      ] ModulesTest.PrettyPrintUnflatten
2022-11-23T03:28:09.4773964Z [       OK ] ModulesTest.PrettyPrintUnflatten (0 ms)
2022-11-23T03:28:09.4774385Z [ RUN      ] ModulesTest.ReflectionPad1d
2022-11-23T03:28:09.4774964Z [       OK ] ModulesTest.ReflectionPad1d (0 ms)
2022-11-23T03:28:09.4775589Z [ RUN      ] ModulesTest.ReflectionPad2d
2022-11-23T03:28:09.4776017Z [       OK ] ModulesTest.ReflectionPad2d (0 ms)
2022-11-23T03:28:09.4776842Z [ RUN      ] ModulesTest.ReflectionPad3d
2022-11-23T03:28:09.4781336Z [       OK ] ModulesTest.ReflectionPad3d (0 ms)
2022-11-23T03:28:09.4782090Z [ RUN      ] ModulesTest.ReplicationPad1d
2022-11-23T03:28:09.4784121Z [       OK ] ModulesTest.ReplicationPad1d (0 ms)
2022-11-23T03:28:09.4784705Z [ RUN      ] ModulesTest.ReplicationPad2d
2022-11-23T03:28:09.4788285Z [       OK ] ModulesTest.ReplicationPad2d (0 ms)
2022-11-23T03:28:09.4788919Z [ RUN      ] ModulesTest.ReplicationPad3d
2022-11-23T03:28:09.4794596Z [       OK ] ModulesTest.ReplicationPad3d (0 ms)
2022-11-23T03:28:09.4795033Z [ RUN      ] ModulesTest.ZeroPad2d
2022-11-23T03:28:09.4798156Z [       OK ] ModulesTest.ZeroPad2d (0 ms)
2022-11-23T03:28:09.4799134Z [ RUN      ] ModulesTest.ConstantPad1d
2022-11-23T03:28:09.4800953Z [       OK ] ModulesTest.ConstantPad1d (0 ms)
2022-11-23T03:28:09.4801442Z [ RUN      ] ModulesTest.ConstantPad2d
2022-11-23T03:28:09.4804913Z [       OK ] ModulesTest.ConstantPad2d (0 ms)
2022-11-23T03:28:09.4805336Z [ RUN      ] ModulesTest.ConstantPad3d
2022-11-23T03:28:09.4811144Z [       OK ] ModulesTest.ConstantPad3d (0 ms)
2022-11-23T03:28:09.4811563Z [ RUN      ] ModulesTest.CrossMapLRN2d
2022-11-23T03:28:09.4823704Z [       OK ] ModulesTest.CrossMapLRN2d (1 ms)
2022-11-23T03:28:09.4824137Z [ RUN      ] ModulesTest.RNNCell
2022-11-23T03:28:09.4828171Z [       OK ] ModulesTest.RNNCell (0 ms)
2022-11-23T03:28:09.4828542Z [ RUN      ] ModulesTest.LSTMCell
2022-11-23T03:28:09.4834923Z [       OK ] ModulesTest.LSTMCell (0 ms)
2022-11-23T03:28:09.4835313Z [ RUN      ] ModulesTest.GRUCell
2022-11-23T03:28:09.4840963Z [       OK ] ModulesTest.GRUCell (0 ms)
2022-11-23T03:28:09.4841370Z [ RUN      ] ModulesTest.PrettyPrintLinear
2022-11-23T03:28:09.4841829Z [       OK ] ModulesTest.PrettyPrintLinear (0 ms)
2022-11-23T03:28:09.4842505Z [ RUN      ] ModulesTest.PrettyPrintBilinear
2022-11-23T03:28:09.4843245Z [       OK ] ModulesTest.PrettyPrintBilinear (0 ms)
2022-11-23T03:28:09.4843745Z [ RUN      ] ModulesTest.PrettyPrintConv
2022-11-23T03:28:09.4845003Z [       OK ] ModulesTest.PrettyPrintConv (0 ms)
2022-11-23T03:28:09.4845471Z [ RUN      ] ModulesTest.PrettyPrintConvTranspose
2022-11-23T03:28:09.4849269Z [       OK ] ModulesTest.PrettyPrintConvTranspose (0 ms)
2022-11-23T03:28:09.4850339Z [ RUN      ] ModulesTest.PrettyPrintUpsample
2022-11-23T03:28:09.4850978Z [       OK ] ModulesTest.PrettyPrintUpsample (0 ms)
2022-11-23T03:28:09.4851450Z [ RUN      ] ModulesTest.PrettyPrintFold
2022-11-23T03:28:09.4851865Z [       OK ] ModulesTest.PrettyPrintFold (0 ms)
2022-11-23T03:28:09.4852489Z [ RUN      ] ModulesTest.PrettyPrintUnfold
2022-11-23T03:28:09.4853162Z [       OK ] ModulesTest.PrettyPrintUnfold (0 ms)
2022-11-23T03:28:09.4853637Z [ RUN      ] ModulesTest.PrettyPrintMaxPool
2022-11-23T03:28:09.4854139Z [       OK ] ModulesTest.PrettyPrintMaxPool (0 ms)
2022-11-23T03:28:09.4854752Z [ RUN      ] ModulesTest.PrettyPrintAvgPool
2022-11-23T03:28:09.4855277Z [       OK ] ModulesTest.PrettyPrintAvgPool (0 ms)
2022-11-23T03:28:09.4856084Z [ RUN      ] ModulesTest.PrettyPrinFractionalMaxPool
2022-11-23T03:28:09.4857543Z [       OK ] ModulesTest.PrettyPrinFractionalMaxPool (0 ms)
2022-11-23T03:28:09.4858211Z [ RUN      ] ModulesTest.PrettyPrintLPPool
2022-11-23T03:28:09.4858969Z [       OK ] ModulesTest.PrettyPrintLPPool (0 ms)
2022-11-23T03:28:09.4859487Z [ RUN      ] ModulesTest.PrettyPrintAdaptiveMaxPool
2022-11-23T03:28:09.4860229Z [       OK ] ModulesTest.PrettyPrintAdaptiveMaxPool (0 ms)
2022-11-23T03:28:09.4861112Z [ RUN      ] ModulesTest.PrettyPrintAdaptiveAvgPool
2022-11-23T03:28:09.4862162Z [       OK ] ModulesTest.PrettyPrintAdaptiveAvgPool (0 ms)
2022-11-23T03:28:09.4863120Z [ RUN      ] ModulesTest.PrettyPrintMaxUnpool
2022-11-23T03:28:09.4863741Z [       OK ] ModulesTest.PrettyPrintMaxUnpool (0 ms)
2022-11-23T03:28:09.4864534Z [ RUN      ] ModulesTest.PrettyPrintDropout
2022-11-23T03:28:09.4865457Z [       OK ] ModulesTest.PrettyPrintDropout (0 ms)
2022-11-23T03:28:09.4866311Z [ RUN      ] ModulesTest.PrettyPrintDropout2d
2022-11-23T03:28:09.4867235Z [       OK ] ModulesTest.PrettyPrintDropout2d (0 ms)
2022-11-23T03:28:09.4867834Z [ RUN      ] ModulesTest.PrettyPrintDropout3d
2022-11-23T03:28:09.4868756Z [       OK ] ModulesTest.PrettyPrintDropout3d (0 ms)
2022-11-23T03:28:09.4869850Z [ RUN      ] ModulesTest.PrettyPrintFunctional
2022-11-23T03:28:09.4870312Z [       OK ] ModulesTest.PrettyPrintFunctional (0 ms)
2022-11-23T03:28:09.4871104Z [ RUN      ] ModulesTest.PrettyPrintBatchNorm1d
2022-11-23T03:28:09.4871929Z [       OK ] ModulesTest.PrettyPrintBatchNorm1d (0 ms)
2022-11-23T03:28:09.4872604Z [ RUN      ] ModulesTest.PrettyPrintBatchNorm2d
2022-11-23T03:28:09.4873366Z [       OK ] ModulesTest.PrettyPrintBatchNorm2d (0 ms)
2022-11-23T03:28:09.4874229Z [ RUN      ] ModulesTest.PrettyPrintBatchNorm3d
2022-11-23T03:28:09.4875114Z [       OK ] ModulesTest.PrettyPrintBatchNorm3d (0 ms)
2022-11-23T03:28:09.4876060Z [ RUN      ] ModulesTest.PrettyPrintInstanceNorm1d
2022-11-23T03:28:09.4876966Z [       OK ] ModulesTest.PrettyPrintInstanceNorm1d (0 ms)
2022-11-23T03:28:09.4877765Z [ RUN      ] ModulesTest.PrettyPrintInstanceNorm2d
2022-11-23T03:28:09.4878751Z [       OK ] ModulesTest.PrettyPrintInstanceNorm2d (0 ms)
2022-11-23T03:28:09.4879691Z [ RUN      ] ModulesTest.PrettyPrintInstanceNorm3d
2022-11-23T03:28:09.4880361Z [       OK ] ModulesTest.PrettyPrintInstanceNorm3d (0 ms)
2022-11-23T03:28:09.4880884Z [ RUN      ] ModulesTest.PrettyPrintLayerNorm
2022-11-23T03:28:09.4882115Z [       OK ] ModulesTest.PrettyPrintLayerNorm (0 ms)
2022-11-23T03:28:09.4882872Z [ RUN      ] ModulesTest.PrettyPrintGroupNorm
2022-11-23T03:28:09.4883353Z [       OK ] ModulesTest.PrettyPrintGroupNorm (0 ms)
2022-11-23T03:28:09.4883826Z [ RUN      ] ModulesTest.PrettyPrintLocalResponseNorm
2022-11-23T03:28:09.4884660Z [       OK ] ModulesTest.PrettyPrintLocalResponseNorm (0 ms)
2022-11-23T03:28:09.4885288Z [ RUN      ] ModulesTest.PrettyPrintEmbedding
2022-11-23T03:28:09.4885710Z [       OK ] ModulesTest.PrettyPrintEmbedding (0 ms)
2022-11-23T03:28:09.4886160Z [ RUN      ] ModulesTest.PrettyPrintEmbeddingBag
2022-11-23T03:28:09.4886851Z [       OK ] ModulesTest.PrettyPrintEmbeddingBag (0 ms)
2022-11-23T03:28:09.4887457Z [ RUN      ] ModulesTest.PrettyPrintL1Loss
2022-11-23T03:28:09.4888209Z [       OK ] ModulesTest.PrettyPrintL1Loss (0 ms)
2022-11-23T03:28:09.4888707Z [ RUN      ] ModulesTest.PrettyPrintKLDivLoss
2022-11-23T03:28:09.4889146Z [       OK ] ModulesTest.PrettyPrintKLDivLoss (0 ms)
2022-11-23T03:28:09.4889557Z [ RUN      ] ModulesTest.PrettyPrintMSELoss
2022-11-23T03:28:09.4890161Z [       OK ] ModulesTest.PrettyPrintMSELoss (0 ms)
2022-11-23T03:28:09.4890894Z [ RUN      ] ModulesTest.PrettyPrintBCELoss
2022-11-23T03:28:09.4891375Z [       OK ] ModulesTest.PrettyPrintBCELoss (0 ms)
2022-11-23T03:28:09.4892201Z [ RUN      ] ModulesTest.PrettyPrintHingeEmbeddingLoss
2022-11-23T03:28:09.4892994Z [       OK ] ModulesTest.PrettyPrintHingeEmbeddingLoss (0 ms)
2022-11-23T03:28:09.4893800Z [ RUN      ] ModulesTest.PrettyPrintCosineEmbeddingLoss
2022-11-23T03:28:09.4894403Z [       OK ] ModulesTest.PrettyPrintCosineEmbeddingLoss (0 ms)
2022-11-23T03:28:09.4895306Z [ RUN      ] ModulesTest.PrettyPrintTripletMarginLoss
2022-11-23T03:28:09.4895876Z [       OK ] ModulesTest.PrettyPrintTripletMarginLoss (0 ms)
2022-11-23T03:28:09.4896631Z [ RUN      ] ModulesTest.PrettyPrintTripletMarginWithDistanceLoss
2022-11-23T03:28:09.4897250Z [       OK ] ModulesTest.PrettyPrintTripletMarginWithDistanceLoss (0 ms)
2022-11-23T03:28:09.4897766Z [ RUN      ] ModulesTest.PrettyPrintNLLLoss
2022-11-23T03:28:09.4898195Z [       OK ] ModulesTest.PrettyPrintNLLLoss (0 ms)
2022-11-23T03:28:09.4898665Z [ RUN      ] ModulesTest.PrettyPrinCrossEntropyLoss
2022-11-23T03:28:09.4899169Z [       OK ] ModulesTest.PrettyPrinCrossEntropyLoss (0 ms)
2022-11-23T03:28:09.4899667Z [ RUN      ] ModulesTest.PrettyPrintMultiLabelMarginLoss
2022-11-23T03:28:09.4900470Z [       OK ] ModulesTest.PrettyPrintMultiLabelMarginLoss (0 ms)
2022-11-23T03:28:09.4901025Z [ RUN      ] ModulesTest.PrettyPrintMultiLabelSoftMarginLoss
2022-11-23T03:28:09.4901594Z [       OK ] ModulesTest.PrettyPrintMultiLabelSoftMarginLoss (0 ms)
2022-11-23T03:28:09.4902099Z [ RUN      ] ModulesTest.PrettyPrintSoftMarginLoss
2022-11-23T03:28:09.4902597Z [       OK ] ModulesTest.PrettyPrintSoftMarginLoss (0 ms)
2022-11-23T03:28:09.4903095Z [ RUN      ] ModulesTest.PrettyPrintCosineSimilarity
2022-11-23T03:28:09.4903582Z [       OK ] ModulesTest.PrettyPrintCosineSimilarity (0 ms)
2022-11-23T03:28:09.4904166Z [ RUN      ] ModulesTest.PrettyPrintPairwiseDistance
2022-11-23T03:28:09.4904675Z [       OK ] ModulesTest.PrettyPrintPairwiseDistance (0 ms)
2022-11-23T03:28:09.4905151Z [ RUN      ] ModulesTest.PrettyPrintReflectionPad
2022-11-23T03:28:09.4905645Z [       OK ] ModulesTest.PrettyPrintReflectionPad (0 ms)
2022-11-23T03:28:09.4906134Z [ RUN      ] ModulesTest.PrettyPrintReplicationPad
2022-11-23T03:28:09.4906636Z [       OK ] ModulesTest.PrettyPrintReplicationPad (0 ms)
2022-11-23T03:28:09.4907089Z [ RUN      ] ModulesTest.PrettyPrintZeroPad2d
2022-11-23T03:28:09.4907701Z [       OK ] ModulesTest.PrettyPrintZeroPad2d (0 ms)
2022-11-23T03:28:09.4908188Z [ RUN      ] ModulesTest.PrettyPrintConstantPad
2022-11-23T03:28:09.4908642Z [       OK ] ModulesTest.PrettyPrintConstantPad (0 ms)
2022-11-23T03:28:09.4909132Z [ RUN      ] ModulesTest.PrettyPrintNestedModel
2022-11-23T03:28:09.4909583Z [       OK ] ModulesTest.PrettyPrintNestedModel (0 ms)
2022-11-23T03:28:09.4910069Z [ RUN      ] ModulesTest.PrettyPrintELU
2022-11-23T03:28:09.4910460Z [       OK ] ModulesTest.PrettyPrintELU (0 ms)
2022-11-23T03:28:09.4910912Z [ RUN      ] ModulesTest.PrettyPrintSELU
2022-11-23T03:28:09.4911510Z [       OK ] ModulesTest.PrettyPrintSELU (0 ms)
2022-11-23T03:28:09.4912207Z [ RUN      ] ModulesTest.PrettyPrintGLU
2022-11-23T03:28:09.4912750Z [       OK ] ModulesTest.PrettyPrintGLU (0 ms)
2022-11-23T03:28:09.4913198Z [ RUN      ] ModulesTest.PrettyPrintHardshrink
2022-11-23T03:28:09.4913658Z [       OK ] ModulesTest.PrettyPrintHardshrink (0 ms)
2022-11-23T03:28:09.4913997Z [ RUN      ] ModulesTest.PrettyPrintHardtanh
2022-11-23T03:28:09.4914456Z [       OK ] ModulesTest.PrettyPrintHardtanh (0 ms)
2022-11-23T03:28:09.4914888Z [ RUN      ] ModulesTest.PrettyPrintLeakyReLU
2022-11-23T03:28:09.4915353Z [       OK ] ModulesTest.PrettyPrintLeakyReLU (0 ms)
2022-11-23T03:28:09.4915810Z [ RUN      ] ModulesTest.PrettyPrintLogSigmoid
2022-11-23T03:28:09.4916253Z [       OK ] ModulesTest.PrettyPrintLogSigmoid (0 ms)
2022-11-23T03:28:09.4916706Z [ RUN      ] ModulesTest.PrettyPrintSoftmax
2022-11-23T03:28:09.4917151Z [       OK ] ModulesTest.PrettyPrintSoftmax (0 ms)
2022-11-23T03:28:09.4917595Z [ RUN      ] ModulesTest.PrettyPrintSoftmin
2022-11-23T03:28:09.4918016Z [       OK ] ModulesTest.PrettyPrintSoftmin (0 ms)
2022-11-23T03:28:09.4918461Z [ RUN      ] ModulesTest.PrettyPrintLogSoftmax
2022-11-23T03:28:09.4918934Z [       OK ] ModulesTest.PrettyPrintLogSoftmax (0 ms)
2022-11-23T03:28:09.4919375Z [ RUN      ] ModulesTest.PrettyPrintSoftmax2d
2022-11-23T03:28:09.4919831Z [       OK ] ModulesTest.PrettyPrintSoftmax2d (0 ms)
2022-11-23T03:28:09.4920270Z [ RUN      ] ModulesTest.PrettyPrintPReLU
2022-11-23T03:28:09.4920690Z [       OK ] ModulesTest.PrettyPrintPReLU (0 ms)
2022-11-23T03:28:09.4921123Z [ RUN      ] ModulesTest.PrettyPrintReLU
2022-11-23T03:28:09.4921545Z [       OK ] ModulesTest.PrettyPrintReLU (0 ms)
2022-11-23T03:28:09.4922179Z [ RUN      ] ModulesTest.PrettyPrintReLU6
2022-11-23T03:28:09.4922586Z [       OK ] ModulesTest.PrettyPrintReLU6 (0 ms)
2022-11-23T03:28:09.4923070Z [ RUN      ] ModulesTest.PrettyPrintRReLU
2022-11-23T03:28:09.4923504Z [       OK ] ModulesTest.PrettyPrintRReLU (0 ms)
2022-11-23T03:28:09.4923908Z [ RUN      ] ModulesTest.PrettyPrintCELU
2022-11-23T03:28:09.4924338Z [       OK ] ModulesTest.PrettyPrintCELU (0 ms)
2022-11-23T03:28:09.4924830Z [ RUN      ] ModulesTest.PrettyPrintSigmoid
2022-11-23T03:28:09.4925268Z [       OK ] ModulesTest.PrettyPrintSigmoid (0 ms)
2022-11-23T03:28:09.4925954Z [ RUN      ] ModulesTest.PrettyPrintPixelShuffle
2022-11-23T03:28:09.4926713Z [       OK ] ModulesTest.PrettyPrintPixelShuffle (0 ms)
2022-11-23T03:28:09.4927324Z [ RUN      ] ModulesTest.PrettyPrintPixelUnshuffle
2022-11-23T03:28:09.4928005Z [       OK ] ModulesTest.PrettyPrintPixelUnshuffle (0 ms)
2022-11-23T03:28:09.4928650Z [ RUN      ] ModulesTest.PrettyPrintSoftplus
2022-11-23T03:28:09.4929347Z [       OK ] ModulesTest.PrettyPrintSoftplus (0 ms)
2022-11-23T03:28:09.4929779Z [ RUN      ] ModulesTest.PrettyPrintSoftshrink
2022-11-23T03:28:09.4930208Z [       OK ] ModulesTest.PrettyPrintSoftshrink (0 ms)
2022-11-23T03:28:09.4930912Z [ RUN      ] ModulesTest.PrettyPrintSoftsign
2022-11-23T03:28:09.4931955Z [       OK ] ModulesTest.PrettyPrintSoftsign (0 ms)
2022-11-23T03:28:09.4932527Z [ RUN      ] ModulesTest.PrettyPrintTanh
2022-11-23T03:28:09.4932933Z [       OK ] ModulesTest.PrettyPrintTanh (0 ms)
2022-11-23T03:28:09.4933374Z [ RUN      ] ModulesTest.PrettyPrintTanhshrink
2022-11-23T03:28:09.4934140Z [       OK ] ModulesTest.PrettyPrintTanhshrink (0 ms)
2022-11-23T03:28:09.4934529Z [ RUN      ] ModulesTest.PrettyPrintThreshold
2022-11-23T03:28:09.4934996Z [       OK ] ModulesTest.PrettyPrintThreshold (0 ms)
2022-11-23T03:28:09.4935436Z [ RUN      ] ModulesTest.PrettyPrintCTCLoss
2022-11-23T03:28:09.4935885Z [       OK ] ModulesTest.PrettyPrintCTCLoss (0 ms)
2022-11-23T03:28:09.4936681Z [ RUN      ] ModulesTest.PrettyPrintPoissonNLLLoss
2022-11-23T03:28:09.4937164Z [       OK ] ModulesTest.PrettyPrintPoissonNLLLoss (0 ms)
2022-11-23T03:28:09.4937682Z [ RUN      ] ModulesTest.PrettyPrintMarginRankingLoss
2022-11-23T03:28:09.4938202Z [       OK ] ModulesTest.PrettyPrintMarginRankingLoss (0 ms)
2022-11-23T03:28:09.4938685Z [ RUN      ] ModulesTest.PrettyPrintCrossMapLRN2d
2022-11-23T03:28:09.4939176Z [       OK ] ModulesTest.PrettyPrintCrossMapLRN2d (0 ms)
2022-11-23T03:28:09.4939663Z [ RUN      ] ModulesTest.PrettyPrintAlphaDropout
2022-11-23T03:28:09.4940151Z [       OK ] ModulesTest.PrettyPrintAlphaDropout (0 ms)
2022-11-23T03:28:09.4940637Z [ RUN      ] ModulesTest.PrettyPrintFeatureAlphaDropout
2022-11-23T03:28:09.4941181Z [       OK ] ModulesTest.PrettyPrintFeatureAlphaDropout (0 ms)
2022-11-23T03:28:09.4941704Z [ RUN      ] ModulesTest.PrettyPrintBCEWithLogitsLoss
2022-11-23T03:28:09.4942327Z [       OK ] ModulesTest.PrettyPrintBCEWithLogitsLoss (0 ms)
2022-11-23T03:28:09.4942837Z [ RUN      ] ModulesTest.PrettyPrintMultiheadAttention
2022-11-23T03:28:09.4943371Z [       OK ] ModulesTest.PrettyPrintMultiheadAttention (0 ms)
2022-11-23T03:28:09.4943866Z [ RUN      ] ModulesTest.PrettyPrintRNNCell
2022-11-23T03:28:09.4944657Z [       OK ] ModulesTest.PrettyPrintRNNCell (0 ms)
2022-11-23T03:28:09.4945120Z [ RUN      ] ModulesTest.PrettyPrintLSTMCell
2022-11-23T03:28:09.4945573Z [       OK ] ModulesTest.PrettyPrintLSTMCell (0 ms)
2022-11-23T03:28:09.4945991Z [ RUN      ] ModulesTest.PrettyPrintGRUCell
2022-11-23T03:28:09.4946438Z [       OK ] ModulesTest.PrettyPrintGRUCell (0 ms)
2022-11-23T03:28:09.4947238Z [ RUN      ] ModulesTest.PrettyPrintAdaptiveLogSoftmaxWithLoss
2022-11-23T03:28:09.4947825Z [       OK ] ModulesTest.PrettyPrintAdaptiveLogSoftmaxWithLoss (0 ms)
2022-11-23T03:28:09.4948342Z [----------] 258 tests from ModulesTest (14050 ms total)
2022-11-23T03:28:09.4948561Z 
2022-11-23T03:28:09.4948768Z [----------] 1 test from NestedTest
2022-11-23T03:28:09.4949128Z [ RUN      ] NestedTest.Nested
2022-11-23T03:28:09.4949591Z [W NestedTensorImpl.cpp:179] Warning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (function operator())
2022-11-23T03:28:09.4950118Z [       OK ] NestedTest.Nested (0 ms)
2022-11-23T03:28:09.4950522Z [----------] 1 test from NestedTest (0 ms total)
2022-11-23T03:28:09.4950730Z 
2022-11-23T03:28:09.4950954Z [----------] 10 tests from ParameterDictTest
2022-11-23T03:28:09.4951376Z [ RUN      ] ParameterDictTest.ConstructFromTensor
2022-11-23T03:28:09.4951876Z [       OK ] ParameterDictTest.ConstructFromTensor (0 ms)
2022-11-23T03:28:09.4952383Z [ RUN      ] ParameterDictTest.ConstructFromOrderedDict
2022-11-23T03:28:09.4952889Z [       OK ] ParameterDictTest.ConstructFromOrderedDict (0 ms)
2022-11-23T03:28:09.4953383Z [ RUN      ] ParameterDictTest.InsertAndContains
2022-11-23T03:28:09.4954009Z [       OK ] ParameterDictTest.InsertAndContains (0 ms)
2022-11-23T03:28:09.4954487Z [ RUN      ] ParameterDictTest.InsertAndClear
2022-11-23T03:28:09.4954929Z [       OK ] ParameterDictTest.InsertAndClear (0 ms)
2022-11-23T03:28:09.4955733Z [ RUN      ] ParameterDictTest.InsertAndPop
2022-11-23T03:28:09.4956294Z [       OK ] ParameterDictTest.InsertAndPop (1 ms)
2022-11-23T03:28:09.4956714Z [ RUN      ] ParameterDictTest.SimpleUpdate
2022-11-23T03:28:09.4957155Z [       OK ] ParameterDictTest.SimpleUpdate (1 ms)
2022-11-23T03:28:09.4957570Z [ RUN      ] ParameterDictTest.Keys
2022-11-23T03:28:09.4957946Z [       OK ] ParameterDictTest.Keys (0 ms)
2022-11-23T03:28:09.4958342Z [ RUN      ] ParameterDictTest.Values
2022-11-23T03:28:09.4958749Z [       OK ] ParameterDictTest.Values (0 ms)
2022-11-23T03:28:09.4959121Z [ RUN      ] ParameterDictTest.Get
2022-11-23T03:28:09.4959515Z [       OK ] ParameterDictTest.Get (0 ms)
2022-11-23T03:28:09.4959978Z [ RUN      ] ParameterDictTest.PrettyPrintParameterDict
2022-11-23T03:28:09.4960514Z [       OK ] ParameterDictTest.PrettyPrintParameterDict (0 ms)
2022-11-23T03:28:09.4961004Z [----------] 10 tests from ParameterDictTest (3 ms total)
2022-11-23T03:28:09.4961240Z 
2022-11-23T03:28:09.4961468Z [----------] 8 tests from ParameterListTest
2022-11-23T03:28:09.4961946Z [ RUN      ] ParameterListTest.ConstructsFromSharedPointer
2022-11-23T03:28:09.4962480Z [       OK ] ParameterListTest.ConstructsFromSharedPointer (0 ms)
2022-11-23T03:28:09.4962967Z [ RUN      ] ParameterListTest.isEmpty
2022-11-23T03:28:09.4963451Z [       OK ] ParameterListTest.isEmpty (0 ms)
2022-11-23T03:28:09.4963891Z [ RUN      ] ParameterListTest.PushBackAddsAnElement
2022-11-23T03:28:09.4964405Z [       OK ] ParameterListTest.PushBackAddsAnElement (0 ms)
2022-11-23T03:28:09.4964877Z [ RUN      ] ParameterListTest.ForEachLoop
2022-11-23T03:28:09.4965323Z [       OK ] ParameterListTest.ForEachLoop (0 ms)
2022-11-23T03:28:09.4965739Z [ RUN      ] ParameterListTest.AccessWithAt
2022-11-23T03:28:09.4977414Z [       OK ] ParameterListTest.AccessWithAt (4 ms)
2022-11-23T03:28:09.4978515Z [ RUN      ] ParameterListTest.ExtendPushesParametersFromOtherParameterList
2022-11-23T03:28:09.4979157Z [       OK ] ParameterListTest.ExtendPushesParametersFromOtherParameterList (0 ms)
2022-11-23T03:28:09.4980079Z [ RUN      ] ParameterListTest.PrettyPrintParameterList
2022-11-23T03:28:09.4980695Z [       OK ] ParameterListTest.PrettyPrintParameterList (0 ms)
2022-11-23T03:28:09.4981425Z [ RUN      ] ParameterListTest.IncrementAdd
2022-11-23T03:28:09.4981832Z [       OK ] ParameterListTest.IncrementAdd (0 ms)
2022-11-23T03:28:09.4982283Z [----------] 8 tests from ParameterListTest (4 ms total)
2022-11-23T03:28:09.4982551Z 
2022-11-23T03:28:09.4982761Z [----------] 1 test from NamespaceTests
2022-11-23T03:28:09.4983284Z [ RUN      ] NamespaceTests.NotLeakingSymbolsFromTorchAutogradNamespace
2022-11-23T03:28:09.4983929Z [       OK ] NamespaceTests.NotLeakingSymbolsFromTorchAutogradNamespace (0 ms)
2022-11-23T03:28:09.4984488Z [----------] 1 test from NamespaceTests (0 ms total)
2022-11-23T03:28:09.4984703Z 
2022-11-23T03:28:09.4984907Z [----------] 7 tests from NNUtilsTest
2022-11-23T03:28:09.4985267Z [ RUN      ] NNUtilsTest.ClipGradNorm
2022-11-23T03:28:09.5006211Z [       OK ] NNUtilsTest.ClipGradNorm (2 ms)
2022-11-23T03:28:09.5006715Z [ RUN      ] NNUtilsTest.ClipGradNormErrorIfNonfinite
2022-11-23T03:28:10.2175005Z [       OK ] NNUtilsTest.ClipGradNormErrorIfNonfinite (716 ms)
2022-11-23T03:28:10.2175527Z [ RUN      ] NNUtilsTest.ClipGradValue
2022-11-23T03:28:10.2177399Z [       OK ] NNUtilsTest.ClipGradValue (0 ms)
2022-11-23T03:28:10.2177981Z [ RUN      ] NNUtilsTest.ConvertParameters
2022-11-23T03:28:10.2182927Z [       OK ] NNUtilsTest.ConvertParameters (0 ms)
2022-11-23T03:28:10.2183349Z [ RUN      ] NNUtilsTest.PackSequence
2022-11-23T03:28:10.2755260Z [       OK ] NNUtilsTest.PackSequence (56 ms)
2022-11-23T03:28:10.2755764Z [ RUN      ] NNUtilsTest.PackPaddedSequence
2022-11-23T03:28:10.2987514Z [       OK ] NNUtilsTest.PackPaddedSequence (23 ms)
2022-11-23T03:28:10.2987996Z [ RUN      ] NNUtilsTest.PadSequence
2022-11-23T03:28:10.3076458Z [       OK ] NNUtilsTest.PadSequence (8 ms)
2022-11-23T03:28:10.3076961Z [----------] 7 tests from NNUtilsTest (809 ms total)
2022-11-23T03:28:10.3077194Z 
2022-11-23T03:28:10.3077424Z [----------] 3 tests from PackedSequenceTest
2022-11-23T03:28:10.3077826Z [ RUN      ] PackedSequenceTest.WrongOrder
2022-11-23T03:28:10.3125304Z [       OK ] PackedSequenceTest.WrongOrder (4 ms)
2022-11-23T03:28:10.3125802Z [ RUN      ] PackedSequenceTest.TotalLength
2022-11-23T03:28:10.3219842Z [       OK ] PackedSequenceTest.TotalLength (9 ms)
2022-11-23T03:28:10.3220329Z [ RUN      ] PackedSequenceTest.To
2022-11-23T03:28:10.3243999Z [       OK ] PackedSequenceTest.To (2 ms)
2022-11-23T03:28:10.3244519Z [----------] 3 tests from PackedSequenceTest (16 ms total)
2022-11-23T03:28:10.3244729Z 
2022-11-23T03:28:10.3244921Z [----------] 34 tests from OptimTest
2022-11-23T03:28:10.3245349Z [ RUN      ] OptimTest.OptimizerAccessors
2022-11-23T03:28:10.3269123Z [       OK ] OptimTest.OptimizerAccessors (2 ms)
2022-11-23T03:28:10.3269606Z [ RUN      ] OptimTest.OldInterface
2022-11-23T03:28:10.3270196Z [       OK ] OptimTest.OldInterface (0 ms)
2022-11-23T03:28:10.3270607Z [ RUN      ] OptimTest.XORConvergence_SGD
2022-11-23T03:28:12.1846576Z [       OK ] OptimTest.XORConvergence_SGD (1857 ms)
2022-11-23T03:28:12.1847077Z [ RUN      ] OptimTest.XORConvergence_LBFGS
2022-11-23T03:28:13.4925954Z [       OK ] OptimTest.XORConvergence_LBFGS (1307 ms)
2022-11-23T03:28:13.4926463Z [ RUN      ] OptimTest.XORConvergence_Adagrad
2022-11-23T03:28:14.2177853Z [       OK ] OptimTest.XORConvergence_Adagrad (725 ms)
2022-11-23T03:28:14.2178389Z [ RUN      ] OptimTest.XORConvergence_RMSprop
2022-11-23T03:28:14.9442145Z [       OK ] OptimTest.XORConvergence_RMSprop (726 ms)
2022-11-23T03:28:14.9443170Z [ RUN      ] OptimTest.XORConvergence_RMSpropWithMomentum
2022-11-23T03:28:16.9760927Z [       OK ] OptimTest.XORConvergence_RMSpropWithMomentum (2031 ms)
2022-11-23T03:28:17.7812522Z [ RUN      ] OptimTest.XORConvergence_Adam
2022-11-23T03:28:17.7813102Z [       OK ] OptimTest.XORConvergence_Adam (805 ms)
2022-11-23T03:28:17.7813609Z [ RUN      ] OptimTest.XORConvergence_AdamWithAmsgrad
2022-11-23T03:28:18.5902899Z [       OK ] OptimTest.XORConvergence_AdamWithAmsgrad (808 ms)
2022-11-23T03:28:18.5903458Z [ RUN      ] OptimTest.ProducesPyTorchValues_Adam
2022-11-23T03:28:18.9127073Z [       OK ] OptimTest.ProducesPyTorchValues_Adam (322 ms)
2022-11-23T03:28:18.9127629Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecay
2022-11-23T03:28:19.2443751Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecay (331 ms)
2022-11-23T03:28:19.5875458Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecayAndAMSGrad
2022-11-23T03:28:19.5876195Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecayAndAMSGrad (343 ms)
2022-11-23T03:28:19.5876696Z [ RUN      ] OptimTest.XORConvergence_AdamW
2022-11-23T03:28:20.4080209Z [       OK ] OptimTest.XORConvergence_AdamW (820 ms)
2022-11-23T03:28:20.4081125Z [ RUN      ] OptimTest.XORConvergence_AdamWWithAmsgrad
2022-11-23T03:28:21.2340699Z [       OK ] OptimTest.XORConvergence_AdamWWithAmsgrad (825 ms)
2022-11-23T03:28:21.2341367Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamW
2022-11-23T03:28:21.5665314Z [       OK ] OptimTest.ProducesPyTorchValues_AdamW (332 ms)
2022-11-23T03:28:21.5665980Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWWithoutWeightDecay
2022-11-23T03:28:21.8883389Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWWithoutWeightDecay (321 ms)
2022-11-23T03:28:21.8883951Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWWithAMSGrad
2022-11-23T03:28:22.2315982Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWWithAMSGrad (343 ms)
2022-11-23T03:28:22.5081215Z [ RUN      ] OptimTest.ProducesPyTorchValues_Adagrad
2022-11-23T03:28:22.5081745Z [       OK ] OptimTest.ProducesPyTorchValues_Adagrad (276 ms)
2022-11-23T03:28:22.5082317Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecay
2022-11-23T03:28:22.7933942Z [       OK ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecay (285 ms)
2022-11-23T03:28:22.7934577Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecayAndLRDecay
2022-11-23T03:28:23.0791935Z [       OK ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecayAndLRDecay (285 ms)
2022-11-23T03:28:23.0792515Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSprop
2022-11-23T03:28:23.3726887Z [       OK ] OptimTest.ProducesPyTorchValues_RMSprop (293 ms)
2022-11-23T03:28:23.3727471Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecay
2022-11-23T03:28:23.6759862Z [       OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecay (303 ms)
2022-11-23T03:28:23.6760570Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCentered
2022-11-23T03:28:23.9996839Z [       OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCentered (323 ms)
2022-11-23T03:28:23.9997529Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCenteredAndMomentum
2022-11-23T03:28:24.3369375Z [       OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCenteredAndMomentum (337 ms)
2022-11-23T03:28:24.3370016Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGD
2022-11-23T03:28:24.5666196Z [       OK ] OptimTest.ProducesPyTorchValues_SGD (229 ms)
2022-11-23T03:28:24.5666730Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecay
2022-11-23T03:28:24.8057168Z [       OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecay (238 ms)
2022-11-23T03:28:24.8058100Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndMomentum
2022-11-23T03:28:25.0733888Z [       OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndMomentum (267 ms)
2022-11-23T03:28:25.0734592Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndNesterovMomentum
2022-11-23T03:28:25.3479365Z [       OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndNesterovMomentum (274 ms)
2022-11-23T03:28:25.3479977Z [ RUN      ] OptimTest.ProducesPyTorchValues_LBFGS
2022-11-23T03:28:25.6101889Z [       OK ] OptimTest.ProducesPyTorchValues_LBFGS (262 ms)
2022-11-23T03:28:25.6102437Z [ RUN      ] OptimTest.ProducesPyTorchValues_LBFGS_with_line_search
2022-11-23T03:28:26.6173495Z [       OK ] OptimTest.ProducesPyTorchValues_LBFGS_with_line_search (1007 ms)
2022-11-23T03:28:26.6174057Z [ RUN      ] OptimTest.ZeroGrad
2022-11-23T03:28:26.6174405Z [       OK ] OptimTest.ZeroGrad (0 ms)
2022-11-23T03:28:26.6174853Z [ RUN      ] OptimTest.ExternalVectorOfParameters
2022-11-23T03:28:26.6177069Z [       OK ] OptimTest.ExternalVectorOfParameters (0 ms)
2022-11-23T03:28:26.6177540Z [ RUN      ] OptimTest.AddParameter_LBFGS
2022-11-23T03:28:26.6179827Z [       OK ] OptimTest.AddParameter_LBFGS (0 ms)
2022-11-23T03:28:26.6180515Z [ RUN      ] OptimTest.CheckLRChange_StepLR_Adam
2022-11-23T03:28:26.6181236Z [       OK ] OptimTest.CheckLRChange_StepLR_Adam (0 ms)
2022-11-23T03:28:26.6181925Z [----------] 34 tests from OptimTest (16293 ms total)
2022-11-23T03:28:26.6182142Z 
2022-11-23T03:28:26.6182303Z [----------] 29 tests from OrderedDictTest
2022-11-23T03:28:26.6182794Z [ RUN      ] OrderedDictTest.IsEmptyAfterDefaultConstruction
2022-11-23T03:28:26.6183370Z [       OK ] OrderedDictTest.IsEmptyAfterDefaultConstruction (0 ms)
2022-11-23T03:28:26.6183998Z [ RUN      ] OrderedDictTest.InsertAddsElementsWhenTheyAreYetNotPresent
2022-11-23T03:28:26.6184651Z [       OK ] OrderedDictTest.InsertAddsElementsWhenTheyAreYetNotPresent (0 ms)
2022-11-23T03:28:26.6185268Z [ RUN      ] OrderedDictTest.GetReturnsValuesWhenTheyArePresent
2022-11-23T03:28:26.6185873Z [       OK ] OrderedDictTest.GetReturnsValuesWhenTheyArePresent (0 ms)
2022-11-23T03:28:26.6186470Z [ RUN      ] OrderedDictTest.GetThrowsWhenPassedKeysThatAreNotPresent
2022-11-23T03:28:26.6219708Z [       OK ] OrderedDictTest.GetThrowsWhenPassedKeysThatAreNotPresent (3 ms)
2022-11-23T03:28:26.6220377Z [ RUN      ] OrderedDictTest.CanInitializeFromList
2022-11-23T03:28:26.6220827Z [       OK ] OrderedDictTest.CanInitializeFromList (0 ms)
2022-11-23T03:28:26.6221436Z [ RUN      ] OrderedDictTest.InsertThrowsWhenPassedElementsThatArePresent
2022-11-23T03:28:26.6246911Z [       OK ] OrderedDictTest.InsertThrowsWhenPassedElementsThatArePresent (2 ms)
2022-11-23T03:28:26.6247521Z [ RUN      ] OrderedDictTest.FrontReturnsTheFirstItem
2022-11-23T03:28:26.6248053Z [       OK ] OrderedDictTest.FrontReturnsTheFirstItem (0 ms)
2022-11-23T03:28:26.6248551Z [ RUN      ] OrderedDictTest.FrontThrowsWhenEmpty
2022-11-23T03:28:26.6257989Z [       OK ] OrderedDictTest.FrontThrowsWhenEmpty (1 ms)
2022-11-23T03:28:26.6258480Z [ RUN      ] OrderedDictTest.BackReturnsTheLastItem
2022-11-23T03:28:26.6258927Z [       OK ] OrderedDictTest.BackReturnsTheLastItem (0 ms)
2022-11-23T03:28:26.6259415Z [ RUN      ] OrderedDictTest.BackThrowsWhenEmpty
2022-11-23T03:28:26.6271213Z [       OK ] OrderedDictTest.BackThrowsWhenEmpty (1 ms)
2022-11-23T03:28:26.6272111Z [ RUN      ] OrderedDictTest.FindReturnsPointersToValuesWhenPresent
2022-11-23T03:28:26.6272689Z [       OK ] OrderedDictTest.FindReturnsPointersToValuesWhenPresent (0 ms)
2022-11-23T03:28:26.6273822Z [ RUN      ] OrderedDictTest.FindReturnsNullPointersWhenPasesdKeysThatAreNotPresent
2022-11-23T03:28:26.6274602Z [       OK ] OrderedDictTest.FindReturnsNullPointersWhenPasesdKeysThatAreNotPresent (0 ms)
2022-11-23T03:28:26.6275386Z [ RUN      ] OrderedDictTest.SubscriptOperatorThrowsWhenPassedKeysThatAreNotPresent
2022-11-23T03:28:26.6276147Z [       OK ] OrderedDictTest.SubscriptOperatorThrowsWhenPassedKeysThatAreNotPresent (0 ms)
2022-11-23T03:28:26.6276944Z [ RUN      ] OrderedDictTest.SubscriptOperatorReturnsItemsPositionallyWhenPassedIntegers
2022-11-23T03:28:26.6277782Z [       OK ] OrderedDictTest.SubscriptOperatorReturnsItemsPositionallyWhenPassedIntegers (0 ms)
2022-11-23T03:28:26.6278561Z [ RUN      ] OrderedDictTest.SubscriptOperatorsThrowswhenPassedKeysThatAreNotPresent
2022-11-23T03:28:26.6300942Z [       OK ] OrderedDictTest.SubscriptOperatorsThrowswhenPassedKeysThatAreNotPresent (2 ms)
2022-11-23T03:28:26.6301720Z [ RUN      ] OrderedDictTest.UpdateInsertsAllItemsFromAnotherOrderedDict
2022-11-23T03:28:26.6302392Z [       OK ] OrderedDictTest.UpdateInsertsAllItemsFromAnotherOrderedDict (0 ms)
2022-11-23T03:28:26.6302976Z [ RUN      ] OrderedDictTest.UpdateAlsoChecksForDuplicates
2022-11-23T03:28:26.6315487Z [       OK ] OrderedDictTest.UpdateAlsoChecksForDuplicates (1 ms)
2022-11-23T03:28:26.6316667Z [ RUN      ] OrderedDictTest.CanIterateItems
2022-11-23T03:28:26.6317240Z [       OK ] OrderedDictTest.CanIterateItems (0 ms)
2022-11-23T03:28:26.6317645Z [ RUN      ] OrderedDictTest.EraseWorks
2022-11-23T03:28:26.6318061Z [       OK ] OrderedDictTest.EraseWorks (0 ms)
2022-11-23T03:28:26.6318521Z [ RUN      ] OrderedDictTest.ClearMakesTheDictEmpty
2022-11-23T03:28:26.6319003Z [       OK ] OrderedDictTest.ClearMakesTheDictEmpty (0 ms)
2022-11-23T03:28:26.6319493Z [ RUN      ] OrderedDictTest.CanCopyConstruct
2022-11-23T03:28:26.6319952Z [       OK ] OrderedDictTest.CanCopyConstruct (0 ms)
2022-11-23T03:28:26.6320392Z [ RUN      ] OrderedDictTest.CanCopyAssign
2022-11-23T03:28:26.6320803Z [       OK ] OrderedDictTest.CanCopyAssign (0 ms)
2022-11-23T03:28:26.6321290Z [ RUN      ] OrderedDictTest.CanMoveConstruct
2022-11-23T03:28:26.6321748Z [       OK ] OrderedDictTest.CanMoveConstruct (0 ms)
2022-11-23T03:28:26.6322166Z [ RUN      ] OrderedDictTest.CanMoveAssign
2022-11-23T03:28:26.6322601Z [       OK ] OrderedDictTest.CanMoveAssign (0 ms)
2022-11-23T03:28:26.6323052Z [ RUN      ] OrderedDictTest.CanInsertWithBraces
2022-11-23T03:28:26.6323506Z [       OK ] OrderedDictTest.CanInsertWithBraces (0 ms)
2022-11-23T03:28:26.6324061Z [ RUN      ] OrderedDictTest.ErrorMessagesIncludeTheKeyDescription
2022-11-23T03:28:26.6345803Z [       OK ] OrderedDictTest.ErrorMessagesIncludeTheKeyDescription (2 ms)
2022-11-23T03:28:26.6346882Z [ RUN      ] OrderedDictTest.KeysReturnsAllKeys
2022-11-23T03:28:26.6347336Z [       OK ] OrderedDictTest.KeysReturnsAllKeys (0 ms)
2022-11-23T03:28:26.6347815Z [ RUN      ] OrderedDictTest.ValuesReturnsAllValues
2022-11-23T03:28:26.6348335Z [       OK ] OrderedDictTest.ValuesReturnsAllValues (0 ms)
2022-11-23T03:28:26.6348806Z [ RUN      ] OrderedDictTest.ItemsReturnsAllItems
2022-11-23T03:28:26.6349299Z [       OK ] OrderedDictTest.ItemsReturnsAllItems (0 ms)
2022-11-23T03:28:26.6349796Z [----------] 29 tests from OrderedDictTest (16 ms total)
2022-11-23T03:28:26.6350027Z 
2022-11-23T03:28:26.6350226Z [----------] 25 tests from RNNTest
2022-11-23T03:28:26.6350582Z [ RUN      ] RNNTest.CheckOutputSizes
2022-11-23T03:28:26.6459754Z [       OK ] RNNTest.CheckOutputSizes (11 ms)
2022-11-23T03:28:26.6460673Z [ RUN      ] RNNTest.CheckOutputSizesProj
2022-11-23T03:28:26.6573259Z [       OK ] RNNTest.CheckOutputSizesProj (11 ms)
2022-11-23T03:28:26.6573802Z [ RUN      ] RNNTest.CheckOutputValuesMatchPyTorch
2022-11-23T03:28:26.6578566Z [       OK ] RNNTest.CheckOutputValuesMatchPyTorch (0 ms)
2022-11-23T03:28:26.6579016Z [ RUN      ] RNNTest.EndToEndLSTM
2022-11-23T03:28:29.2866634Z [       OK ] RNNTest.EndToEndLSTM (2628 ms)
2022-11-23T03:28:29.2867073Z [ RUN      ] RNNTest.EndToEndLSTMProj
2022-11-23T03:28:31.9285041Z [       OK ] RNNTest.EndToEndLSTMProj (2641 ms)
2022-11-23T03:28:31.9285514Z [ RUN      ] RNNTest.EndToEndGRU
2022-11-23T03:28:34.2803924Z [       OK ] RNNTest.EndToEndGRU (2351 ms)
2022-11-23T03:28:34.2804402Z [ RUN      ] RNNTest.EndToEndRNNRelu
2022-11-23T03:28:35.5054305Z [       OK ] RNNTest.EndToEndRNNRelu (1224 ms)
2022-11-23T03:28:35.5054778Z [ RUN      ] RNNTest.EndToEndRNNTanh
2022-11-23T03:28:36.8866909Z [       OK ] RNNTest.EndToEndRNNTanh (1381 ms)
2022-11-23T03:28:36.8867306Z [ RUN      ] RNNTest.Sizes_CUDA
2022-11-23T03:28:36.9394992Z [       OK ] RNNTest.Sizes_CUDA (52 ms)
2022-11-23T03:28:36.9395394Z [ RUN      ] RNNTest.SizesProj_CUDA
2022-11-23T03:28:36.9441990Z [       OK ] RNNTest.SizesProj_CUDA (4 ms)
2022-11-23T03:28:36.9442963Z [ RUN      ] RNNTest.EndToEndLSTM_CUDA
2022-11-23T03:28:38.8941714Z [       OK ] RNNTest.EndToEndLSTM_CUDA (1949 ms)
2022-11-23T03:28:38.8942182Z [ RUN      ] RNNTest.EndToEndLSTMProj_CUDA
2022-11-23T03:28:40.9064773Z [       OK ] RNNTest.EndToEndLSTMProj_CUDA (2012 ms)
2022-11-23T03:28:40.9065489Z [ RUN      ] RNNTest.EndToEndGRU_CUDA
2022-11-23T03:28:42.5521401Z [       OK ] RNNTest.EndToEndGRU_CUDA (1645 ms)
2022-11-23T03:28:42.5521790Z [ RUN      ] RNNTest.EndToEndRNNRelu_CUDA
2022-11-23T03:28:44.1501255Z [       OK ] RNNTest.EndToEndRNNRelu_CUDA (1597 ms)
2022-11-23T03:28:44.1501691Z [ RUN      ] RNNTest.EndToEndRNNTanh_CUDA
2022-11-23T03:28:45.9473581Z [       OK ] RNNTest.EndToEndRNNTanh_CUDA (1797 ms)
2022-11-23T03:28:45.9474085Z [ RUN      ] RNNTest.PrettyPrintRNNs
2022-11-23T03:28:45.9505748Z [       OK ] RNNTest.PrettyPrintRNNs (3 ms)
2022-11-23T03:28:45.9506308Z [ RUN      ] RNNTest.BidirectionalFlattenParameters
2022-11-23T03:28:45.9653123Z [       OK ] RNNTest.BidirectionalFlattenParameters (14 ms)
2022-11-23T03:28:45.9653643Z [ RUN      ] RNNTest.BidirectionalGRUReverseForward
2022-11-23T03:28:45.9675067Z [       OK ] RNNTest.BidirectionalGRUReverseForward (2 ms)
2022-11-23T03:28:45.9675684Z [ RUN      ] RNNTest.BidirectionalGRUReverseForward_CUDA
2022-11-23T03:28:45.9693755Z [       OK ] RNNTest.BidirectionalGRUReverseForward_CUDA (1 ms)
2022-11-23T03:28:45.9694305Z [ RUN      ] RNNTest.BidirectionalLSTMReverseForward
2022-11-23T03:28:45.9712961Z [       OK ] RNNTest.BidirectionalLSTMReverseForward (1 ms)
2022-11-23T03:28:45.9713499Z [ RUN      ] RNNTest.BidirectionalLSTMReverseForward_CUDA
2022-11-23T03:28:45.9733834Z [       OK ] RNNTest.BidirectionalLSTMReverseForward_CUDA (2 ms)
2022-11-23T03:28:45.9734444Z [ RUN      ] RNNTest.BidirectionalMultilayerGRU_CPU_vs_CUDA
2022-11-23T03:28:45.9801130Z [       OK ] RNNTest.BidirectionalMultilayerGRU_CPU_vs_CUDA (6 ms)
2022-11-23T03:28:45.9801727Z [ RUN      ] RNNTest.BidirectionalMultilayerLSTM_CPU_vs_CUDA
2022-11-23T03:28:45.9863239Z [       OK ] RNNTest.BidirectionalMultilayerLSTM_CPU_vs_CUDA (6 ms)
2022-11-23T03:28:45.9863833Z [ RUN      ] RNNTest.BidirectionalMultilayerLSTMProj_CPU_vs_CUDA
2022-11-23T03:28:45.9937699Z [       OK ] RNNTest.BidirectionalMultilayerLSTMProj_CPU_vs_CUDA (7 ms)
2022-11-23T03:28:45.9938578Z [ RUN      ] RNNTest.UsePackedSequenceAsInput
2022-11-23T03:28:45.9967554Z [       OK ] RNNTest.UsePackedSequenceAsInput (2 ms)
2022-11-23T03:28:45.9968309Z [----------] 25 tests from RNNTest (19362 ms total)
2022-11-23T03:28:45.9968499Z 
2022-11-23T03:28:45.9968728Z [----------] 20 tests from SequentialTest
2022-11-23T03:28:45.9969135Z [ RUN      ] SequentialTest.CanContainThings
2022-11-23T03:28:45.9969599Z [       OK ] SequentialTest.CanContainThings (0 ms)
2022-11-23T03:28:45.9970071Z [ RUN      ] SequentialTest.ConstructsFromSharedPointer
2022-11-23T03:28:45.9970565Z [       OK ] SequentialTest.ConstructsFromSharedPointer (0 ms)
2022-11-23T03:28:45.9971084Z [ RUN      ] SequentialTest.ConstructsFromConcreteType
2022-11-23T03:28:45.9971588Z [       OK ] SequentialTest.ConstructsFromConcreteType (0 ms)
2022-11-23T03:28:45.9972138Z [ RUN      ] SequentialTest.ConstructsFromModuleHolder
2022-11-23T03:28:45.9972630Z [       OK ] SequentialTest.ConstructsFromModuleHolder (0 ms)
2022-11-23T03:28:45.9973105Z [ RUN      ] SequentialTest.PushBackAddsAnElement
2022-11-23T03:28:45.9973590Z [       OK ] SequentialTest.PushBackAddsAnElement (0 ms)
2022-11-23T03:28:45.9974031Z [ RUN      ] SequentialTest.AccessWithAt
2022-11-23T03:28:45.9999943Z [       OK ] SequentialTest.AccessWithAt (2 ms)
2022-11-23T03:28:46.0000750Z [ RUN      ] SequentialTest.AccessWithPtr
2022-11-23T03:28:46.0028239Z [       OK ] SequentialTest.AccessWithPtr (2 ms)
2022-11-23T03:28:46.0028813Z [ RUN      ] SequentialTest.CallingForwardOnEmptySequentialIsDisallowed
2022-11-23T03:28:46.0041338Z [       OK ] SequentialTest.CallingForwardOnEmptySequentialIsDisallowed (1 ms)
2022-11-23T03:28:46.0041992Z [ RUN      ] SequentialTest.CallingForwardChainsCorrectly
2022-11-23T03:28:46.0042502Z [       OK ] SequentialTest.CallingForwardChainsCorrectly (0 ms)
2022-11-23T03:28:46.0043128Z [ RUN      ] SequentialTest.CallingForwardWithTheWrongReturnTypeThrows
2022-11-23T03:28:46.0054655Z [       OK ] SequentialTest.CallingForwardWithTheWrongReturnTypeThrows (1 ms)
2022-11-23T03:28:46.0055527Z [ RUN      ] SequentialTest.TheReturnTypeOfForwardDefaultsToTensor
2022-11-23T03:28:46.0056693Z [       OK ] SequentialTest.TheReturnTypeOfForwardDefaultsToTensor (0 ms)
2022-11-23T03:28:46.0057765Z [ RUN      ] SequentialTest.ForwardReturnsTheLastValue
2022-11-23T03:28:46.0061924Z [       OK ] SequentialTest.ForwardReturnsTheLastValue (0 ms)
2022-11-23T03:28:46.0062470Z [ RUN      ] SequentialTest.SanityCheckForHoldingStandardModules
2022-11-23T03:28:46.0065046Z [       OK ] SequentialTest.SanityCheckForHoldingStandardModules (0 ms)
2022-11-23T03:28:46.0065617Z [ RUN      ] SequentialTest.ExtendPushesModulesFromOtherSequential
2022-11-23T03:28:46.0066249Z [       OK ] SequentialTest.ExtendPushesModulesFromOtherSequential (0 ms)
2022-11-23T03:28:46.0066774Z [ RUN      ] SequentialTest.HasReferenceSemantics
2022-11-23T03:28:46.0067258Z [       OK ] SequentialTest.HasReferenceSemantics (0 ms)
2022-11-23T03:28:46.0067672Z [ RUN      ] SequentialTest.IsCloneable
2022-11-23T03:28:46.0072801Z [       OK ] SequentialTest.IsCloneable (0 ms)
2022-11-23T03:28:46.0073311Z [ RUN      ] SequentialTest.RegistersElementsAsSubmodules
2022-11-23T03:28:46.0073841Z [       OK ] SequentialTest.RegistersElementsAsSubmodules (0 ms)
2022-11-23T03:28:46.0074289Z [ RUN      ] SequentialTest.CloneToDevice_CUDA
2022-11-23T03:28:46.0077393Z [       OK ] SequentialTest.CloneToDevice_CUDA (0 ms)
2022-11-23T03:28:46.0077854Z [ RUN      ] SequentialTest.PrettyPrintSequential
2022-11-23T03:28:46.0081497Z [       OK ] SequentialTest.PrettyPrintSequential (0 ms)
2022-11-23T03:28:46.0082048Z [ RUN      ] SequentialTest.ModuleForwardMethodOptionalArg
2022-11-23T03:28:46.0134466Z [       OK ] SequentialTest.ModuleForwardMethodOptionalArg (4 ms)
2022-11-23T03:28:46.0135016Z [----------] 20 tests from SequentialTest (16 ms total)
2022-11-23T03:28:46.0135243Z 
2022-11-23T03:28:46.0135451Z [----------] 17 tests from TransformerTest
2022-11-23T03:28:46.0135952Z [ RUN      ] TransformerTest.TransformerEncoderLayer
2022-11-23T03:28:46.0260025Z [       OK ] TransformerTest.TransformerEncoderLayer (12 ms)
2022-11-23T03:28:46.0260610Z [ RUN      ] TransformerTest.TransformerEncoderLayer_CUDA
2022-11-23T03:28:46.0520133Z [       OK ] TransformerTest.TransformerEncoderLayer_CUDA (26 ms)
2022-11-23T03:28:46.0520688Z [ RUN      ] TransformerTest.TransformerDecoderLayer
2022-11-23T03:28:46.0647752Z [       OK ] TransformerTest.TransformerDecoderLayer (12 ms)
2022-11-23T03:28:46.0648334Z [ RUN      ] TransformerTest.TransformerDecoderLayer_CUDA
2022-11-23T03:28:46.0931065Z [       OK ] TransformerTest.TransformerDecoderLayer_CUDA (28 ms)
2022-11-23T03:28:46.0931644Z [ RUN      ] TransformerTest.TransformerDecoderLayer_gelu
2022-11-23T03:28:46.1006233Z [       OK ] TransformerTest.TransformerDecoderLayer_gelu (7 ms)
2022-11-23T03:28:46.1006795Z [ RUN      ] TransformerTest.TransformerDecoderLayer_gelu_CUDA
2022-11-23T03:28:46.1161432Z [       OK ] TransformerTest.TransformerDecoderLayer_gelu_CUDA (15 ms)
2022-11-23T03:28:46.1162030Z [ RUN      ] TransformerTest.TransformerEncoder
2022-11-23T03:28:46.1416511Z [       OK ] TransformerTest.TransformerEncoder (25 ms)
2022-11-23T03:28:46.1417470Z [ RUN      ] TransformerTest.TransformerEncoder_CUDA
2022-11-23T03:28:46.1936907Z [       OK ] TransformerTest.TransformerEncoder_CUDA (51 ms)
2022-11-23T03:28:46.1937955Z [ RUN      ] TransformerTest.PrettyPrintTransformerEncoderLayer
2022-11-23T03:28:46.1938888Z [       OK ] TransformerTest.PrettyPrintTransformerEncoderLayer (0 ms)
2022-11-23T03:28:46.1939459Z [ RUN      ] TransformerTest.PrettyPrintTransformerEncoder
2022-11-23T03:28:46.1953370Z [       OK ] TransformerTest.PrettyPrintTransformerEncoder (1 ms)
2022-11-23T03:28:46.1953969Z [ RUN      ] TransformerTest.PrettyPrintTransformerDecoderLayer
2022-11-23T03:28:46.1955411Z [       OK ] TransformerTest.PrettyPrintTransformerDecoderLayer (0 ms)
2022-11-23T03:28:46.1955914Z [ RUN      ] TransformerTest.TransformerDecoder
2022-11-23T03:28:46.2717694Z [       OK ] TransformerTest.TransformerDecoder (75 ms)
2022-11-23T03:28:46.2718256Z [ RUN      ] TransformerTest.TransformerDecoder_CUDA
2022-11-23T03:28:46.4201158Z [       OK ] TransformerTest.TransformerDecoder_CUDA (148 ms)
2022-11-23T03:28:46.4201747Z [ RUN      ] TransformerTest.PrettyPrintTransformerDecoder
2022-11-23T03:28:46.4215596Z [       OK ] TransformerTest.PrettyPrintTransformerDecoder (1 ms)
2022-11-23T03:28:46.4216600Z [ RUN      ] TransformerTest.Transformer
2022-11-23T03:28:46.4488763Z [       OK ] TransformerTest.Transformer (26 ms)
2022-11-23T03:28:46.4489343Z [ RUN      ] TransformerTest.Transformer_CUDA
2022-11-23T03:28:46.5053418Z [       OK ] TransformerTest.Transformer_CUDA (56 ms)
2022-11-23T03:28:46.5054151Z [ RUN      ] TransformerTest.TransformerArgsCorrectness
2022-11-23T03:28:46.5133454Z [       OK ] TransformerTest.TransformerArgsCorrectness (7 ms)
2022-11-23T03:28:46.5134102Z [----------] 17 tests from TransformerTest (499 ms total)
2022-11-23T03:28:46.5134352Z 
2022-11-23T03:28:46.5134550Z [----------] 24 tests from SerializeTest
2022-11-23T03:28:46.5134929Z [ RUN      ] SerializeTest.KeysFunc
2022-11-23T03:28:46.5139296Z [       OK ] SerializeTest.KeysFunc (0 ms)
2022-11-23T03:28:46.5144050Z [ RUN      ] SerializeTest.TryReadFunc
2022-11-23T03:28:46.5145153Z [       OK ] SerializeTest.TryReadFunc (0 ms)
2022-11-23T03:28:46.5145557Z [ RUN      ] SerializeTest.Basic
2022-11-23T03:28:46.5149206Z [       OK ] SerializeTest.Basic (0 ms)
2022-11-23T03:28:46.5150015Z [ RUN      ] SerializeTest.MathBits
2022-11-23T03:28:46.5246969Z [       OK ] SerializeTest.MathBits (9 ms)
2022-11-23T03:28:46.5247582Z [ RUN      ] SerializeTest.BasicToFile
2022-11-23T03:28:46.5255053Z [       OK ] SerializeTest.BasicToFile (1 ms)
2022-11-23T03:28:46.5255827Z [ RUN      ] SerializeTest.BasicViaFunc
2022-11-23T03:28:46.5261784Z [       OK ] SerializeTest.BasicViaFunc (0 ms)
2022-11-23T03:28:46.5262616Z [ RUN      ] SerializeTest.Resized
2022-11-23T03:28:46.5265375Z [       OK ] SerializeTest.Resized (0 ms)
2022-11-23T03:28:46.5266259Z [ RUN      ] SerializeTest.Sliced
2022-11-23T03:28:46.5269100Z [       OK ] SerializeTest.Sliced (0 ms)
2022-11-23T03:28:46.5269993Z [ RUN      ] SerializeTest.NonContiguous
2022-11-23T03:28:46.5273070Z [       OK ] SerializeTest.NonContiguous (0 ms)
2022-11-23T03:28:46.5274016Z [ RUN      ] SerializeTest.ErrorOnMissingKey
2022-11-23T03:28:46.5377957Z [       OK ] SerializeTest.ErrorOnMissingKey (10 ms)
2022-11-23T03:28:46.5379023Z [ RUN      ] SerializeTest.XOR
2022-11-23T03:28:46.8300283Z [       OK ] SerializeTest.XOR (292 ms)
2022-11-23T03:28:46.8300774Z [ RUN      ] SerializeTest.Optim
2022-11-23T03:28:46.8343932Z [       OK ] SerializeTest.Optim (4 ms)
2022-11-23T03:28:46.8344386Z [ RUN      ] SerializeTest.Optim_Adagrad
2022-11-23T03:28:46.8399473Z [       OK ] SerializeTest.Optim_Adagrad (5 ms)
2022-11-23T03:28:46.8400175Z [ RUN      ] SerializeTest.Optim_SGD
2022-11-23T03:28:46.8449772Z [       OK ] SerializeTest.Optim_SGD (5 ms)
2022-11-23T03:28:46.8450366Z [ RUN      ] SerializeTest.Optim_Adam
2022-11-23T03:28:46.8514756Z [       OK ] SerializeTest.Optim_Adam (6 ms)
2022-11-23T03:28:46.8515287Z [ RUN      ] SerializeTest.Optim_AdamW
2022-11-23T03:28:46.8579482Z [       OK ] SerializeTest.Optim_AdamW (6 ms)
2022-11-23T03:28:46.8580130Z [ RUN      ] SerializeTest.Optim_RMSprop
2022-11-23T03:28:46.8641439Z [       OK ] SerializeTest.Optim_RMSprop (6 ms)
2022-11-23T03:28:46.8641998Z [ RUN      ] SerializeTest.Optim_LBFGS
2022-11-23T03:28:46.8703888Z [       OK ] SerializeTest.Optim_LBFGS (6 ms)
2022-11-23T03:28:46.8704457Z [ RUN      ] SerializeTest.XOR_CUDA
2022-11-23T03:28:47.2089992Z [       OK ] SerializeTest.XOR_CUDA (338 ms)
2022-11-23T03:28:47.2090844Z [ RUN      ] SerializeTest.CanSerializeModulesWithIntermediateModulesWithoutParametersOrBuffers
2022-11-23T03:28:47.2097241Z [       OK ] SerializeTest.CanSerializeModulesWithIntermediateModulesWithoutParametersOrBuffers (0 ms)
2022-11-23T03:28:47.2098079Z [ RUN      ] SerializeTest.VectorOfTensors
2022-11-23T03:28:47.2102332Z [       OK ] SerializeTest.VectorOfTensors (0 ms)
2022-11-23T03:28:47.2103215Z [ RUN      ] SerializeTest.IValue
2022-11-23T03:28:47.2107785Z [       OK ] SerializeTest.IValue (0 ms)
2022-11-23T03:28:47.2108965Z [ RUN      ] SerializeTest.UnserializableSubmoduleIsSkippedWhenSavingModule
2022-11-23T03:28:47.2110379Z [       OK ] SerializeTest.UnserializableSubmoduleIsSkippedWhenSavingModule (0 ms)
2022-11-23T03:28:47.2111417Z [ RUN      ] SerializeTest.UnserializableSubmoduleIsIgnoredWhenLoadingModule
2022-11-23T03:28:47.2120359Z [       OK ] SerializeTest.UnserializableSubmoduleIsIgnoredWhenLoadingModule (0 ms)
2022-11-23T03:28:47.2121382Z [----------] 24 tests from SerializeTest (698 ms total)
2022-11-23T03:28:47.2121745Z 
2022-11-23T03:28:47.2122093Z [----------] 1 test from SpecialTest
2022-11-23T03:28:47.2123093Z [ RUN      ] SpecialTest.special
2022-11-23T03:28:47.2123684Z [       OK ] SpecialTest.special (0 ms)
2022-11-23T03:28:47.2125211Z [----------] 1 test from SpecialTest (0 ms total)
2022-11-23T03:28:47.2125659Z 
2022-11-23T03:28:47.2126169Z [----------] 5 tests from TestStatic
2022-11-23T03:28:47.2126781Z [ RUN      ] TestStatic.AllOf
2022-11-23T03:28:47.2127156Z [       OK ] TestStatic.AllOf (0 ms)
2022-11-23T03:28:47.2127506Z [ RUN      ] TestStatic.AnyOf
2022-11-23T03:28:47.2127840Z [       OK ] TestStatic.AnyOf (0 ms)
2022-11-23T03:28:47.2128221Z [ RUN      ] TestStatic.EnableIfModule
2022-11-23T03:28:47.2128633Z [       OK ] TestStatic.EnableIfModule (0 ms)
2022-11-23T03:28:47.2129038Z [ RUN      ] TestStatic.ReturnTypeOfForward
2022-11-23T03:28:47.2129479Z [       OK ] TestStatic.ReturnTypeOfForward (0 ms)
2022-11-23T03:28:47.2129863Z [ RUN      ] TestStatic.Apply
2022-11-23T03:28:47.2130239Z [       OK ] TestStatic.Apply (0 ms)
2022-11-23T03:28:47.2130678Z [----------] 5 tests from TestStatic (0 ms total)
2022-11-23T03:28:47.2130886Z 
2022-11-23T03:28:47.2131091Z [----------] 49 tests from TensorTest
2022-11-23T03:28:47.2131582Z [ RUN      ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame_CUDA
2022-11-23T03:28:47.2132344Z [       OK ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame_CUDA (0 ms)
2022-11-23T03:28:47.2132919Z [ RUN      ] TensorTest.MagmaInitializesCorrectly_CUDA
2022-11-23T03:28:47.4820615Z [       OK ] TensorTest.MagmaInitializesCorrectly_CUDA (269 ms)
2022-11-23T03:28:47.4821090Z [ RUN      ] TensorTest.ToDtype
2022-11-23T03:28:47.4821475Z [       OK ] TensorTest.ToDtype (0 ms)
2022-11-23T03:28:47.4821925Z [ RUN      ] TensorTest.ToTensorAndTensorAttributes
2022-11-23T03:28:47.4822414Z [       OK ] TensorTest.ToTensorAndTensorAttributes (0 ms)
2022-11-23T03:28:47.4822940Z [ RUN      ] TensorTest.ToOptionsWithRequiresGrad
2022-11-23T03:28:47.4850903Z [       OK ] TensorTest.ToOptionsWithRequiresGrad (2 ms)
2022-11-23T03:28:47.4851984Z [ RUN      ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame
2022-11-23T03:28:47.4852663Z [       OK ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame (0 ms)
2022-11-23T03:28:47.4853173Z [ RUN      ] TensorTest.AtTensorCtorScalar
2022-11-23T03:28:47.4853566Z [       OK ] TensorTest.AtTensorCtorScalar (0 ms)
2022-11-23T03:28:47.4853963Z [ RUN      ] TensorTest.AtTensorCtorSingleDim
2022-11-23T03:28:47.4854432Z [       OK ] TensorTest.AtTensorCtorSingleDim (0 ms)
2022-11-23T03:28:47.4854895Z [ RUN      ] TensorTest.AtTensorCastRealToComplex
2022-11-23T03:28:47.4855382Z [       OK ] TensorTest.AtTensorCastRealToComplex (0 ms)
2022-11-23T03:28:47.4855887Z [ RUN      ] TensorTest.AtTensorCastComplexToRealErrorChecks
2022-11-23T03:28:47.4919430Z [       OK ] TensorTest.AtTensorCastComplexToRealErrorChecks (6 ms)
2022-11-23T03:28:47.4920532Z [ RUN      ] TensorTest.TorchTensorCtorScalarIntegralType
2022-11-23T03:28:47.4921514Z [       OK ] TensorTest.TorchTensorCtorScalarIntegralType (0 ms)
2022-11-23T03:28:47.4922062Z [ RUN      ] TensorTest.TorchTensorCtorScalarFloatingType
2022-11-23T03:28:47.4922605Z [       OK ] TensorTest.TorchTensorCtorScalarFloatingType (0 ms)
2022-11-23T03:28:47.4923136Z [ RUN      ] TensorTest.TorchTensorCtorScalarBoolType
2022-11-23T03:28:47.4923634Z [       OK ] TensorTest.TorchTensorCtorScalarBoolType (0 ms)
2022-11-23T03:28:47.4924166Z [ RUN      ] TensorTest.TorchTensorCtorSingleDimIntegralType
2022-11-23T03:28:47.4924734Z [       OK ] TensorTest.TorchTensorCtorSingleDimIntegralType (0 ms)
2022-11-23T03:28:47.4925277Z [ RUN      ] TensorTest.TorchTensorCtorSingleDimFloatingType
2022-11-23T03:28:47.4926319Z [       OK ] TensorTest.TorchTensorCtorSingleDimFloatingType (0 ms)
2022-11-23T03:28:47.4926926Z [ RUN      ] TensorTest.TorchTensorCtorSingleDimBoolType
2022-11-23T03:28:47.4927649Z [       OK ] TensorTest.TorchTensorCtorSingleDimBoolType (0 ms)
2022-11-23T03:28:47.4928193Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimIntegralType
2022-11-23T03:28:47.4929747Z [       OK ] TensorTest.TorchTensorCtorMultiDimIntegralType (0 ms)
2022-11-23T03:28:47.4930353Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimFloatingType
2022-11-23T03:28:47.4933227Z [       OK ] TensorTest.TorchTensorCtorMultiDimFloatingType (0 ms)
2022-11-23T03:28:47.4934066Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimBoolType
2022-11-23T03:28:47.4934582Z [       OK ] TensorTest.TorchTensorCtorMultiDimBoolType (0 ms)
2022-11-23T03:28:47.4935127Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimWithOptions
2022-11-23T03:28:47.4936132Z [       OK ] TensorTest.TorchTensorCtorMultiDimWithOptions (0 ms)
2022-11-23T03:28:47.4955644Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimErrorChecks
2022-11-23T03:28:47.5008724Z [       OK ] TensorTest.TorchTensorCtorMultiDimErrorChecks (6 ms)
2022-11-23T03:28:47.5009579Z [ RUN      ] TensorTest.TorchTensorCastRealToComplex
2022-11-23T03:28:47.5010526Z [       OK ] TensorTest.TorchTensorCastRealToComplex (0 ms)
2022-11-23T03:28:47.5011175Z [ RUN      ] TensorTest.TorchTensorCastComplexToRealErrorChecks
2022-11-23T03:28:47.5011642Z [W Copy.cpp:275] Warning: Casting complex values to real discards the imaginary part (function operator())
2022-11-23T03:28:47.5023068Z [       OK ] TensorTest.TorchTensorCastComplexToRealErrorChecks (1 ms)
2022-11-23T03:28:47.5023622Z [ RUN      ] TensorTest.TorchTensorCtorMultiDim_CUDA
2022-11-23T03:28:47.5032042Z [       OK ] TensorTest.TorchTensorCtorMultiDim_CUDA (0 ms)
2022-11-23T03:28:47.5032522Z [ RUN      ] TensorTest.TorchTensorCtorZeroSizedDim
2022-11-23T03:28:47.5033599Z [       OK ] TensorTest.TorchTensorCtorZeroSizedDim (0 ms)
2022-11-23T03:28:47.5034611Z [ RUN      ] TensorTest.TorchTensorCtorWithoutSpecifyingDtype
2022-11-23T03:28:47.5035550Z [       OK ] TensorTest.TorchTensorCtorWithoutSpecifyingDtype (0 ms)
2022-11-23T03:28:47.5036683Z [ RUN      ] TensorTest.TorchTensorCtorWithNonDtypeOptions
2022-11-23T03:28:47.5037608Z [       OK ] TensorTest.TorchTensorCtorWithNonDtypeOptions (0 ms)
2022-11-23T03:28:47.5038069Z [ RUN      ] TensorTest.Arange
2022-11-23T03:28:47.5038455Z [       OK ] TensorTest.Arange (0 ms)
2022-11-23T03:28:47.5039141Z [ RUN      ] TensorTest.PrettyPrintTensorDataContainer
2022-11-23T03:28:47.5039753Z [       OK ] TensorTest.PrettyPrintTensorDataContainer (0 ms)
2022-11-23T03:28:47.5040533Z [ RUN      ] TensorTest.TensorDataContainerCallingAccessorOfWrongType
2022-11-23T03:28:47.5116008Z [       OK ] TensorTest.TensorDataContainerCallingAccessorOfWrongType (7 ms)
2022-11-23T03:28:47.5116731Z [ RUN      ] TensorTest.FromBlob
2022-11-23T03:28:47.5117172Z [       OK ] TensorTest.FromBlob (0 ms)
2022-11-23T03:28:47.5117853Z [ RUN      ] TensorTest.FromBlobUsesDeleter
2022-11-23T03:28:47.5118423Z [       OK ] TensorTest.FromBlobUsesDeleter (0 ms)
2022-11-23T03:28:47.5118921Z [ RUN      ] TensorTest.FromBlobWithStrides
2022-11-23T03:28:47.5119386Z [       OK ] TensorTest.FromBlobWithStrides (0 ms)
2022-11-23T03:28:47.5119811Z [ RUN      ] TensorTest.Item
2022-11-23T03:28:47.5120203Z [       OK ] TensorTest.Item (0 ms)
2022-11-23T03:28:47.5120665Z [ RUN      ] TensorTest.Item_CUDA
2022-11-23T03:28:47.5121139Z [       OK ] TensorTest.Item_CUDA (0 ms)
2022-11-23T03:28:47.5121525Z [ RUN      ] TensorTest.DataPtr
2022-11-23T03:28:47.5122256Z [       OK ] TensorTest.DataPtr (0 ms)
2022-11-23T03:28:47.5122627Z [ RUN      ] TensorTest.Data
2022-11-23T03:28:47.5123009Z [       OK ] TensorTest.Data (0 ms)
2022-11-23T03:28:47.5123378Z [ RUN      ] TensorTest.BackwardAndGrad
2022-11-23T03:28:47.5123814Z [       OK ] TensorTest.BackwardAndGrad (0 ms)
2022-11-23T03:28:47.5124273Z [ RUN      ] TensorTest.BackwardCreatesOnesGrad
2022-11-23T03:28:47.5124759Z [       OK ] TensorTest.BackwardCreatesOnesGrad (0 ms)
2022-11-23T03:28:47.5125218Z [ RUN      ] TensorTest.BackwardNonScalarOutputs
2022-11-23T03:28:47.5164590Z [       OK ] TensorTest.BackwardNonScalarOutputs (3 ms)
2022-11-23T03:28:47.5165420Z [ RUN      ] TensorTest.IsLeaf
2022-11-23T03:28:47.5165854Z [       OK ] TensorTest.IsLeaf (0 ms)
2022-11-23T03:28:47.5166165Z [ RUN      ] TensorTest.OutputNr
2022-11-23T03:28:47.5166557Z [       OK ] TensorTest.OutputNr (0 ms)
2022-11-23T03:28:47.5166961Z [ RUN      ] TensorTest.Version
2022-11-23T03:28:47.5167318Z [       OK ] TensorTest.Version (0 ms)
2022-11-23T03:28:47.5167684Z [ RUN      ] TensorTest.Detach
2022-11-23T03:28:47.5168059Z [       OK ] TensorTest.Detach (0 ms)
2022-11-23T03:28:47.5168427Z [ RUN      ] TensorTest.DetachInplace
2022-11-23T03:28:47.5169279Z [       OK ] TensorTest.DetachInplace (0 ms)
2022-11-23T03:28:47.5169696Z [ RUN      ] TensorTest.SetData
2022-11-23T03:28:47.5170048Z [       OK ] TensorTest.SetData (0 ms)
2022-11-23T03:28:47.5170456Z [ RUN      ] TensorTest.RequiresGradInplace
2022-11-23T03:28:47.5200867Z [       OK ] TensorTest.RequiresGradInplace (3 ms)
2022-11-23T03:28:47.5201321Z [ RUN      ] TensorTest.StdDimension
2022-11-23T03:28:47.5201734Z [       OK ] TensorTest.StdDimension (0 ms)
2022-11-23T03:28:47.5202497Z [ RUN      ] TensorTest.ReshapeAlias
2022-11-23T03:28:47.5204793Z [       OK ] TensorTest.ReshapeAlias (0 ms)
2022-11-23T03:28:47.5205264Z [----------] 49 tests from TensorTest (308 ms total)
2022-11-23T03:28:47.5205509Z 
2022-11-23T03:28:47.5205697Z [----------] 40 tests from TensorIndexingTest
2022-11-23T03:28:47.5206124Z [ RUN      ] TensorIndexingTest.Slice
2022-11-23T03:28:47.5206561Z [       OK ] TensorIndexingTest.Slice (0 ms)
2022-11-23T03:28:47.5206969Z [ RUN      ] TensorIndexingTest.TensorIndex
2022-11-23T03:28:47.5222416Z [       OK ] TensorIndexingTest.TensorIndex (1 ms)
2022-11-23T03:28:47.5222930Z [ RUN      ] TensorIndexingTest.TestNoIndices
2022-11-23T03:28:47.5330889Z [       OK ] TensorIndexingTest.TestNoIndices (10 ms)
2022-11-23T03:28:47.5331730Z [ RUN      ] TensorIndexingTest.TestAdvancedIndexingWithListOfTensor
2022-11-23T03:28:47.5332539Z [       OK ] TensorIndexingTest.TestAdvancedIndexingWithListOfTensor (0 ms)
2022-11-23T03:28:47.5333159Z [ RUN      ] TensorIndexingTest.TestSingleInt
2022-11-23T03:28:47.5333666Z [       OK ] TensorIndexingTest.TestSingleInt (0 ms)
2022-11-23T03:28:47.5334397Z [ RUN      ] TensorIndexingTest.TestMultipleInt
2022-11-23T03:28:47.5334947Z [       OK ] TensorIndexingTest.TestMultipleInt (0 ms)
2022-11-23T03:28:47.5335629Z [ RUN      ] TensorIndexingTest.TestNone
2022-11-23T03:28:47.5336060Z [       OK ] TensorIndexingTest.TestNone (0 ms)
2022-11-23T03:28:47.5337207Z [ RUN      ] TensorIndexingTest.TestStep
2022-11-23T03:28:47.5337651Z [       OK ] TensorIndexingTest.TestStep (0 ms)
2022-11-23T03:28:47.5338111Z [ RUN      ] TensorIndexingTest.TestStepAssignment
2022-11-23T03:28:47.5338814Z [       OK ] TensorIndexingTest.TestStepAssignment (0 ms)
2022-11-23T03:28:47.5339318Z [ RUN      ] TensorIndexingTest.TestBoolIndices
2022-11-23T03:28:47.5341740Z [       OK ] TensorIndexingTest.TestBoolIndices (0 ms)
2022-11-23T03:28:47.5342768Z [ RUN      ] TensorIndexingTest.TestBoolIndicesAccumulate
2022-11-23T03:28:47.5343497Z [       OK ] TensorIndexingTest.TestBoolIndicesAccumulate (0 ms)
2022-11-23T03:28:47.5344059Z [ RUN      ] TensorIndexingTest.TestMultipleBoolIndices
2022-11-23T03:28:47.5344932Z [       OK ] TensorIndexingTest.TestMultipleBoolIndices (0 ms)
2022-11-23T03:28:47.5345452Z [ RUN      ] TensorIndexingTest.TestByteMask
2022-11-23T03:28:47.5346377Z [       OK ] TensorIndexingTest.TestByteMask (0 ms)
2022-11-23T03:28:47.5346866Z [ RUN      ] TensorIndexingTest.TestByteMaskAccumulate
2022-11-23T03:28:47.5347613Z [       OK ] TensorIndexingTest.TestByteMaskAccumulate (0 ms)
2022-11-23T03:28:47.5348161Z [ RUN      ] TensorIndexingTest.TestMultipleByteMask
2022-11-23T03:28:47.5348857Z [       OK ] TensorIndexingTest.TestMultipleByteMask (0 ms)
2022-11-23T03:28:47.5349518Z [ RUN      ] TensorIndexingTest.TestByteMask2d
2022-11-23T03:28:47.5349956Z [       OK ] TensorIndexingTest.TestByteMask2d (0 ms)
2022-11-23T03:28:47.5350657Z [ RUN      ] TensorIndexingTest.TestIntIndices
2022-11-23T03:28:47.5351340Z [       OK ] TensorIndexingTest.TestIntIndices (0 ms)
2022-11-23T03:28:47.5352233Z [ RUN      ] TensorIndexingTest.TestIntIndices2d
2022-11-23T03:28:47.5352678Z [       OK ] TensorIndexingTest.TestIntIndices2d (0 ms)
2022-11-23T03:28:47.5353276Z [ RUN      ] TensorIndexingTest.TestIntIndicesBroadcast
2022-11-23T03:28:47.5354284Z [       OK ] TensorIndexingTest.TestIntIndicesBroadcast (0 ms)
2022-11-23T03:28:47.5354863Z [ RUN      ] TensorIndexingTest.TestEmptyIndex
2022-11-23T03:28:47.5355447Z [       OK ] TensorIndexingTest.TestEmptyIndex (0 ms)
2022-11-23T03:28:47.5355933Z [ RUN      ] TensorIndexingTest.TestEmptyNdimIndex
2022-11-23T03:28:47.5427457Z [       OK ] TensorIndexingTest.TestEmptyNdimIndex (6 ms)
2022-11-23T03:28:47.5428041Z [ RUN      ] TensorIndexingTest.TestEmptyNdimIndex_CUDA
2022-11-23T03:28:47.5428458Z [       OK ] TensorIndexingTest.TestEmptyNdimIndex_CUDA (0 ms)
2022-11-23T03:28:47.5428959Z [ RUN      ] TensorIndexingTest.TestEmptyNdimIndexBool
2022-11-23T03:28:47.5455893Z [       OK ] TensorIndexingTest.TestEmptyNdimIndexBool (2 ms)
2022-11-23T03:28:47.5456763Z [ RUN      ] TensorIndexingTest.TestEmptyNdimIndexBool_CUDA
2022-11-23T03:28:47.5482529Z [       OK ] TensorIndexingTest.TestEmptyNdimIndexBool_CUDA (2 ms)
2022-11-23T03:28:47.5483374Z [ RUN      ] TensorIndexingTest.TestEmptySlice
2022-11-23T03:28:47.5483826Z [       OK ] TensorIndexingTest.TestEmptySlice (0 ms)
2022-11-23T03:28:47.5484292Z [ RUN      ] TensorIndexingTest.TestEmptySlice_CUDA
2022-11-23T03:28:47.5484746Z [       OK ] TensorIndexingTest.TestEmptySlice_CUDA (0 ms)
2022-11-23T03:28:47.5485356Z [ RUN      ] TensorIndexingTest.TestIndexGetitemCopyBoolsSlices
2022-11-23T03:28:47.5485982Z [       OK ] TensorIndexingTest.TestIndexGetitemCopyBoolsSlices (0 ms)
2022-11-23T03:28:47.5486477Z [ RUN      ] TensorIndexingTest.TestIndexSetitemBoolsSlices
2022-11-23T03:28:47.5595383Z [       OK ] TensorIndexingTest.TestIndexSetitemBoolsSlices (10 ms)
2022-11-23T03:28:47.5596075Z [ RUN      ] TensorIndexingTest.TestIndexScalarWithBoolMask
2022-11-23T03:28:47.5596561Z [       OK ] TensorIndexingTest.TestIndexScalarWithBoolMask (0 ms)
2022-11-23T03:28:47.5597152Z [ RUN      ] TensorIndexingTest.TestIndexScalarWithBoolMask_CUDA
2022-11-23T03:28:47.5605025Z [       OK ] TensorIndexingTest.TestIndexScalarWithBoolMask_CUDA (0 ms)
2022-11-23T03:28:47.5605887Z [ RUN      ] TensorIndexingTest.TestSetitemExpansionError
2022-11-23T03:28:47.5743064Z [       OK ] TensorIndexingTest.TestSetitemExpansionError (13 ms)
2022-11-23T03:28:47.5744026Z [ RUN      ] TensorIndexingTest.TestGetitemScalars
2022-11-23T03:28:47.5875382Z [       OK ] TensorIndexingTest.TestGetitemScalars (13 ms)
2022-11-23T03:28:47.5875878Z [ RUN      ] TensorIndexingTest.TestSetitemScalars
2022-11-23T03:28:47.6004382Z [       OK ] TensorIndexingTest.TestSetitemScalars (12 ms)
2022-11-23T03:28:47.6005215Z [ RUN      ] TensorIndexingTest.TestBasicAdvancedCombined
2022-11-23T03:28:47.6005759Z [       OK ] TensorIndexingTest.TestBasicAdvancedCombined (0 ms)
2022-11-23T03:28:47.6006279Z [ RUN      ] TensorIndexingTest.TestIntAssignment
2022-11-23T03:28:47.6006782Z [       OK ] TensorIndexingTest.TestIntAssignment (0 ms)
2022-11-23T03:28:47.6007759Z [ RUN      ] TensorIndexingTest.TestByteTensorAssignment
2022-11-23T03:28:47.6008730Z [       OK ] TensorIndexingTest.TestByteTensorAssignment (0 ms)
2022-11-23T03:28:47.6009769Z [ RUN      ] TensorIndexingTest.TestVariableSlicing
2022-11-23T03:28:47.6010548Z [       OK ] TensorIndexingTest.TestVariableSlicing (0 ms)
2022-11-23T03:28:47.6011022Z [ RUN      ] TensorIndexingTest.TestEllipsisTensor
2022-11-23T03:28:47.6011815Z [       OK ] TensorIndexingTest.TestEllipsisTensor (0 ms)
2022-11-23T03:28:47.6012632Z [ RUN      ] TensorIndexingTest.TestOutOfBoundIndex
2022-11-23T03:28:47.6130890Z [       OK ] TensorIndexingTest.TestOutOfBoundIndex (11 ms)
2022-11-23T03:28:47.6131425Z [ RUN      ] TensorIndexingTest.TestZeroDimIndex
2022-11-23T03:28:47.6156174Z [       OK ] TensorIndexingTest.TestZeroDimIndex (2 ms)
2022-11-23T03:28:47.6157119Z [----------] 40 tests from TensorIndexingTest (94 ms total)
2022-11-23T03:28:47.6157372Z 
2022-11-23T03:28:47.6157573Z [----------] 18 tests from NumpyTests
2022-11-23T03:28:47.6157976Z [ RUN      ] NumpyTests.TestNoneIndex
2022-11-23T03:28:47.6158424Z [       OK ] NumpyTests.TestNoneIndex (0 ms)
2022-11-23T03:28:47.6158836Z [ RUN      ] NumpyTests.TestEmptyFancyIndex
2022-11-23T03:28:47.6220883Z [       OK ] NumpyTests.TestEmptyFancyIndex (6 ms)
2022-11-23T03:28:47.6221711Z [ RUN      ] NumpyTests.TestEllipsisIndex
2022-11-23T03:28:47.6222168Z [       OK ] NumpyTests.TestEllipsisIndex (0 ms)
2022-11-23T03:28:47.6222617Z [ RUN      ] NumpyTests.TestSingleIntIndex
2022-11-23T03:28:47.6249243Z [       OK ] NumpyTests.TestSingleIntIndex (2 ms)
2022-11-23T03:28:47.6250045Z [ RUN      ] NumpyTests.TestSingleBoolIndex
2022-11-23T03:28:47.6250477Z [       OK ] NumpyTests.TestSingleBoolIndex (0 ms)
2022-11-23T03:28:47.6250927Z [ RUN      ] NumpyTests.TestBooleanShapeMismatch
2022-11-23T03:28:47.6499706Z [       OK ] NumpyTests.TestBooleanShapeMismatch (24 ms)
2022-11-23T03:28:47.6500361Z [ RUN      ] NumpyTests.TestBooleanIndexingOnedim
2022-11-23T03:28:47.6501217Z [       OK ] NumpyTests.TestBooleanIndexingOnedim (0 ms)
2022-11-23T03:28:47.6501729Z [ RUN      ] NumpyTests.TestBooleanAssignmentValueMismatch
2022-11-23T03:28:47.6683664Z [       OK ] NumpyTests.TestBooleanAssignmentValueMismatch (17 ms)
2022-11-23T03:28:47.6684514Z [ RUN      ] NumpyTests.TestBooleanIndexingTwodim
2022-11-23T03:28:47.6685202Z [       OK ] NumpyTests.TestBooleanIndexingTwodim (0 ms)
2022-11-23T03:28:47.6685811Z [ RUN      ] NumpyTests.TestBooleanIndexingWeirdness
2022-11-23T03:28:47.6815568Z [       OK ] NumpyTests.TestBooleanIndexingWeirdness (12 ms)
2022-11-23T03:28:47.6816553Z [ RUN      ] NumpyTests.TestBooleanIndexingWeirdnessTensors
2022-11-23T03:28:47.6946280Z [       OK ] NumpyTests.TestBooleanIndexingWeirdnessTensors (12 ms)
2022-11-23T03:28:47.6946938Z [ RUN      ] NumpyTests.TestBooleanIndexingAlldims
2022-11-23T03:28:47.6947420Z [       OK ] NumpyTests.TestBooleanIndexingAlldims (0 ms)
2022-11-23T03:28:47.6948344Z [ RUN      ] NumpyTests.TestBooleanListIndexing
2022-11-23T03:28:47.6948919Z [       OK ] NumpyTests.TestBooleanListIndexing (0 ms)
2022-11-23T03:28:47.6949359Z [ RUN      ] NumpyTests.TestEverythingReturnsViews
2022-11-23T03:28:47.6949804Z [       OK ] NumpyTests.TestEverythingReturnsViews (0 ms)
2022-11-23T03:28:47.6950308Z [ RUN      ] NumpyTests.TestBroaderrorsIndexing
2022-11-23T03:28:47.7207182Z [       OK ] NumpyTests.TestBroaderrorsIndexing (25 ms)
2022-11-23T03:28:47.7207763Z [ RUN      ] NumpyTests.TestTrivialFancyOutOfBounds
2022-11-23T03:28:47.7529490Z [       OK ] NumpyTests.TestTrivialFancyOutOfBounds (32 ms)
2022-11-23T03:28:47.7530053Z [ RUN      ] NumpyTests.TestIndexIsLarger
2022-11-23T03:28:47.7530528Z [       OK ] NumpyTests.TestIndexIsLarger (0 ms)
2022-11-23T03:28:47.7531010Z [ RUN      ] NumpyTests.TestBroadcastSubspace
2022-11-23T03:28:47.7533480Z [       OK ] NumpyTests.TestBroadcastSubspace (0 ms)
2022-11-23T03:28:47.7534467Z [----------] 18 tests from NumpyTests (137 ms total)
2022-11-23T03:28:47.7534969Z 
2022-11-23T03:28:47.7535523Z [----------] 6 tests from TensorOptionsTest
2022-11-23T03:28:47.7536753Z [ RUN      ] TensorOptionsTest.ConstructsWellFromCUDATypes_CUDA
2022-11-23T03:28:47.7538036Z [       OK ] TensorOptionsTest.ConstructsWellFromCUDATypes_CUDA (0 ms)
2022-11-23T03:28:47.7538610Z [ RUN      ] TensorOptionsTest.DefaultsToTheRightValues
2022-11-23T03:28:47.7539149Z [       OK ] TensorOptionsTest.DefaultsToTheRightValues (0 ms)
2022-11-23T03:28:47.7539760Z [ RUN      ] TensorOptionsTest.UtilityFunctionsReturnTheRightTensorOptions
2022-11-23T03:28:47.7540433Z [       OK ] TensorOptionsTest.UtilityFunctionsReturnTheRightTensorOptions (0 ms)
2022-11-23T03:28:47.7541072Z [ RUN      ] TensorOptionsTest.ConstructsWellFromCPUTypes
2022-11-23T03:28:47.7541633Z [       OK ] TensorOptionsTest.ConstructsWellFromCPUTypes (0 ms)
2022-11-23T03:28:47.7542184Z [ RUN      ] TensorOptionsTest.ConstructsWellFromCPUTensors
2022-11-23T03:28:47.7542730Z [       OK ] TensorOptionsTest.ConstructsWellFromCPUTensors (0 ms)
2022-11-23T03:28:47.7543290Z [ RUN      ] TensorOptionsTest.ConstructsWellFromVariables
2022-11-23T03:28:47.7543844Z [       OK ] TensorOptionsTest.ConstructsWellFromVariables (0 ms)
2022-11-23T03:28:47.7544396Z [----------] 6 tests from TensorOptionsTest (0 ms total)
2022-11-23T03:28:47.7544630Z 
2022-11-23T03:28:47.7544835Z [----------] 1 test from DeviceTest
2022-11-23T03:28:47.7545265Z [ RUN      ] DeviceTest.ParsesCorrectlyFromString
2022-11-23T03:28:47.7639423Z [       OK ] DeviceTest.ParsesCorrectlyFromString (10 ms)
2022-11-23T03:28:47.7639994Z [----------] 1 test from DeviceTest (10 ms total)
2022-11-23T03:28:47.7640152Z 
2022-11-23T03:28:47.7640388Z [----------] 3 tests from DefaultDtypeTest
2022-11-23T03:28:47.7640881Z [ RUN      ] DefaultDtypeTest.CanSetAndGetDefaultDtype
2022-11-23T03:28:47.7641376Z [       OK ] DefaultDtypeTest.CanSetAndGetDefaultDtype (0 ms)
2022-11-23T03:28:47.7641938Z [ RUN      ] DefaultDtypeTest.NewTensorOptionsHasCorrectDefault
2022-11-23T03:28:47.7642636Z [       OK ] DefaultDtypeTest.NewTensorOptionsHasCorrectDefault (0 ms)
2022-11-23T03:28:47.7643156Z [ RUN      ] DefaultDtypeTest.NewTensorsHaveCorrectDefaultDtype
2022-11-23T03:28:47.7643832Z [       OK ] DefaultDtypeTest.NewTensorsHaveCorrectDefaultDtype (0 ms)
2022-11-23T03:28:47.7644275Z [----------] 3 tests from DefaultDtypeTest (0 ms total)
2022-11-23T03:28:47.7644505Z 
2022-11-23T03:28:47.7644724Z [----------] 1 test from TorchIncludeTest
2022-11-23T03:28:47.7645129Z [ RUN      ] TorchIncludeTest.GetSetNumThreads
2022-11-23T03:28:47.7727292Z [       OK ] TorchIncludeTest.GetSetNumThreads (8 ms)
2022-11-23T03:28:47.7727874Z [----------] 1 test from TorchIncludeTest (8 ms total)
2022-11-23T03:28:47.7728117Z 
2022-11-23T03:28:47.7728372Z [----------] 28 tests from InferenceModeTest
2022-11-23T03:28:47.7728804Z [ RUN      ] InferenceModeTest.TestTLSState
2022-11-23T03:28:47.7729261Z [       OK ] InferenceModeTest.TestTLSState (0 ms)
2022-11-23T03:28:47.7729766Z [ RUN      ] InferenceModeTest.TestInferenceTensorCreation
2022-11-23T03:28:47.7730333Z [       OK ] InferenceModeTest.TestInferenceTensorCreation (0 ms)
2022-11-23T03:28:47.7730876Z [ RUN      ] InferenceModeTest.TestExistingAutogradSession
2022-11-23T03:28:47.7815553Z [       OK ] InferenceModeTest.TestExistingAutogradSession (8 ms)
2022-11-23T03:28:47.7816780Z [ RUN      ] InferenceModeTest.TestInferenceTensorInInferenceModeFunctionalOp
2022-11-23T03:28:47.7817547Z [       OK ] InferenceModeTest.TestInferenceTensorInInferenceModeFunctionalOp (0 ms)
2022-11-23T03:28:47.7818269Z [ RUN      ] InferenceModeTest.TestInferenceTensorInInferenceModeInplaceOp
2022-11-23T03:28:47.7819017Z [       OK ] InferenceModeTest.TestInferenceTensorInInferenceModeInplaceOp (0 ms)
2022-11-23T03:28:47.7820128Z [ RUN      ] InferenceModeTest.TestInferenceTensorInInferenceModeViewOp
2022-11-23T03:28:47.7820810Z [       OK ] InferenceModeTest.TestInferenceTensorInInferenceModeViewOp (0 ms)
2022-11-23T03:28:47.7821497Z [ RUN      ] InferenceModeTest.TestInferenceTensorInNormalModeFunctionalOp
2022-11-23T03:28:47.7822192Z [       OK ] InferenceModeTest.TestInferenceTensorInNormalModeFunctionalOp (0 ms)
2022-11-23T03:28:47.7822869Z [ RUN      ] InferenceModeTest.TestInferenceTensorInNormalModeInplaceOp
2022-11-23T03:28:47.7884921Z [       OK ] InferenceModeTest.TestInferenceTensorInNormalModeInplaceOp (6 ms)
2022-11-23T03:28:47.7885745Z [ RUN      ] InferenceModeTest.TestInferenceTensorInNormalModeViewOp
2022-11-23T03:28:47.7886392Z [       OK ] InferenceModeTest.TestInferenceTensorInNormalModeViewOp (0 ms)
2022-11-23T03:28:47.7887090Z [ RUN      ] InferenceModeTest.TestNormalTensorInplaceOutputInInferenceMode
2022-11-23T03:28:47.7887793Z [       OK ] InferenceModeTest.TestNormalTensorInplaceOutputInInferenceMode (0 ms)
2022-11-23T03:28:47.7888477Z [ RUN      ] InferenceModeTest.TestNormalTensorInplaceOutputInNormalMode
2022-11-23T03:28:47.7889160Z [       OK ] InferenceModeTest.TestNormalTensorInplaceOutputInNormalMode (0 ms)
2022-11-23T03:28:47.7889813Z [ RUN      ] InferenceModeTest.TestNormalTensorViewOutputInInferenceMode
2022-11-23T03:28:47.7890498Z [       OK ] InferenceModeTest.TestNormalTensorViewOutputInInferenceMode (0 ms)
2022-11-23T03:28:47.7891163Z [ RUN      ] InferenceModeTest.TestNormalTensorViewOutputInNormalMode
2022-11-23T03:28:47.7929672Z [       OK ] InferenceModeTest.TestNormalTensorViewOutputInNormalMode (4 ms)
2022-11-23T03:28:47.7930389Z [ RUN      ] InferenceModeTest.TestMixInferenceAndNormalTensorFunctionalOp
2022-11-23T03:28:47.7970270Z [       OK ] InferenceModeTest.TestMixInferenceAndNormalTensorFunctionalOp (3 ms)
2022-11-23T03:28:47.7971050Z [ RUN      ] InferenceModeTest.TestMixInferenceAndNormalTensorInplaceOp
2022-11-23T03:28:47.8071283Z [       OK ] InferenceModeTest.TestMixInferenceAndNormalTensorInplaceOp (10 ms)
2022-11-23T03:28:47.8071992Z [ RUN      ] InferenceModeTest.TestMixInferenceAndNormalTensorViewOp
2022-11-23T03:28:47.8072639Z [       OK ] InferenceModeTest.TestMixInferenceAndNormalTensorViewOp (0 ms)
2022-11-23T03:28:47.8073234Z [ RUN      ] InferenceModeTest.TestHandleDirectViewOnRebase
2022-11-23T03:28:47.8110842Z [       OK ] InferenceModeTest.TestHandleDirectViewOnRebase (3 ms)
2022-11-23T03:28:47.8111954Z [ RUN      ] InferenceModeTest.TestHandleInDirectViewOnRebase
2022-11-23T03:28:47.8138245Z [       OK ] InferenceModeTest.TestHandleInDirectViewOnRebase (2 ms)
2022-11-23T03:28:47.8138892Z [ RUN      ] InferenceModeTest.TestCreationMetaPropagation
2022-11-23T03:28:47.8212585Z [       OK ] InferenceModeTest.TestCreationMetaPropagation (7 ms)
2022-11-23T03:28:47.8213241Z [ RUN      ] InferenceModeTest.TestCreationMetaPropagationInput
2022-11-23T03:28:47.8359529Z [       OK ] InferenceModeTest.TestCreationMetaPropagationInput (14 ms)
2022-11-23T03:28:47.8360192Z [ RUN      ] InferenceModeTest.TestInplaceCopyOnInferenceTensor
2022-11-23T03:28:47.8446343Z [       OK ] InferenceModeTest.TestInplaceCopyOnInferenceTensor (8 ms)
2022-11-23T03:28:47.8446998Z [ RUN      ] InferenceModeTest.TestSetRequiresGradInNormalMode
2022-11-23T03:28:47.8457312Z [       OK ] InferenceModeTest.TestSetRequiresGradInNormalMode (1 ms)
2022-11-23T03:28:47.8457944Z [ RUN      ] InferenceModeTest.TestAccessVersionCounter
2022-11-23T03:28:47.8499906Z [       OK ] InferenceModeTest.TestAccessVersionCounter (4 ms)
2022-11-23T03:28:47.8500620Z [ RUN      ] InferenceModeTest.TestInplaceUpdateInferenceTensorWithNormalTensor
2022-11-23T03:28:47.8587895Z [       OK ] InferenceModeTest.TestInplaceUpdateInferenceTensorWithNormalTensor (8 ms)
2022-11-23T03:28:47.8588875Z [ RUN      ] InferenceModeTest.TestComplexViewInInferenceMode
2022-11-23T03:28:47.8589451Z [       OK ] InferenceModeTest.TestComplexViewInInferenceMode (0 ms)
2022-11-23T03:28:47.8590006Z [ RUN      ] InferenceModeTest.TestComplexViewInNormalMode
2022-11-23T03:28:47.8590565Z [       OK ] InferenceModeTest.TestComplexViewInNormalMode (0 ms)
2022-11-23T03:28:47.8591083Z [ RUN      ] InferenceModeTest.TestCustomFunction
2022-11-23T03:28:47.8591545Z [       OK ] InferenceModeTest.TestCustomFunction (0 ms)
2022-11-23T03:28:47.8592149Z [ RUN      ] InferenceModeTest.TestLegacyAutoNonVariableTypeModeWarning
2022-11-23T03:28:47.8592819Z [       OK ] InferenceModeTest.TestLegacyAutoNonVariableTypeModeWarning (0 ms)
2022-11-23T03:28:47.8593417Z [----------] 28 tests from InferenceModeTest (86 ms total)
2022-11-23T03:28:47.8593632Z 
2022-11-23T03:28:47.8593851Z [----------] 4 tests from GradModeTest
2022-11-23T03:28:47.8594309Z [ RUN      ] GradModeTest.TestRequiresGradFunctionalOp
2022-11-23T03:28:47.8594848Z [       OK ] GradModeTest.TestRequiresGradFunctionalOp (0 ms)
2022-11-23T03:28:47.8595340Z [ RUN      ] GradModeTest.TestRequiresGradInplaceOp
2022-11-23T03:28:47.8595858Z [       OK ] GradModeTest.TestRequiresGradInplaceOp (0 ms)
2022-11-23T03:28:47.8596348Z [ RUN      ] GradModeTest.TestRequiresGradViewOp
2022-11-23T03:28:47.8596805Z [       OK ] GradModeTest.TestRequiresGradViewOp (0 ms)
2022-11-23T03:28:47.8597322Z [ RUN      ] GradModeTest.TestRequiresGradViewOpExiting
2022-11-23T03:28:47.8633799Z [       OK ] GradModeTest.TestRequiresGradViewOpExiting (4 ms)
2022-11-23T03:28:47.8634356Z [----------] 4 tests from GradModeTest (4 ms total)
2022-11-23T03:28:47.8634578Z 
2022-11-23T03:28:47.8634768Z [----------] 3 tests from OperationTest
2022-11-23T03:28:47.8635167Z [ RUN      ] OperationTest.Lerp
2022-11-23T03:28:47.8643905Z [       OK ] OperationTest.Lerp (1 ms)
2022-11-23T03:28:47.8644331Z [ RUN      ] OperationTest.Cross
2022-11-23T03:28:47.8692296Z [       OK ] OperationTest.Cross (4 ms)
2022-11-23T03:28:47.8692729Z [ RUN      ] OperationTest.Linear_out
2022-11-23T03:28:47.8694091Z [       OK ] OperationTest.Linear_out (0 ms)
2022-11-23T03:28:47.8694657Z [----------] 3 tests from OperationTest (6 ms total)
2022-11-23T03:28:47.8694896Z 
2022-11-23T03:28:47.8695105Z [----------] 1 test from ParallelTest
2022-11-23T03:28:47.8696766Z [ RUN      ] ParallelTest.DataParallelUsesAllAvailableCUDADevices_CUDA
2022-11-23T03:28:47.8697516Z [       OK ] ParallelTest.DataParallelUsesAllAvailableCUDADevices_CUDA (0 ms)
2022-11-23T03:28:47.8698039Z [----------] 1 test from ParallelTest (0 ms total)
2022-11-23T03:28:47.8698256Z 
2022-11-23T03:28:47.8698505Z [----------] Global test environment tear-down
2022-11-23T03:28:47.8857826Z [==========] 1035 tests from 49 test suites ran. (114231 ms total)
2022-11-23T03:28:47.8858282Z [  PASSED  ] 1035 tests.
2022-11-23T03:28:48.4747946Z + /opt/conda/lib/python3.10/site-packages/torch/bin/test_tensorexpr --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_tensorexpr.xml
2022-11-23T03:28:48.9955765Z Only one CUDA device detected. Disabling MultiCUDA tests
2022-11-23T03:28:48.9960308Z Note: Google Test filter = *-*_MultiCUDA
2022-11-23T03:28:48.9960810Z [==========] Running 829 tests from 26 test suites.
2022-11-23T03:28:48.9961364Z [----------] Global test environment set-up.
2022-11-23T03:28:48.9961704Z [----------] 1 test from Approx
2022-11-23T03:28:48.9961971Z [ RUN      ] Approx.log_vml
2022-11-23T03:28:50.2577518Z [       OK ] Approx.log_vml (1261 ms)
2022-11-23T03:28:50.2578827Z [----------] 1 test from Approx (1261 ms total)
2022-11-23T03:28:50.2579251Z 
2022-11-23T03:28:50.2579566Z [----------] 34 tests from ATen
2022-11-23T03:28:50.2580187Z [ RUN      ] ATen._cast_Float
2022-11-23T03:28:50.2580832Z [       OK ] ATen._cast_Float (0 ms)
2022-11-23T03:28:50.2581312Z [ RUN      ] ATen.negInt
2022-11-23T03:28:50.2585830Z [       OK ] ATen.negInt (0 ms)
2022-11-23T03:28:50.2586213Z [ RUN      ] ATen.negFloat
2022-11-23T03:28:50.2591518Z [       OK ] ATen.negFloat (0 ms)
2022-11-23T03:28:50.2591861Z [ RUN      ] ATen.addInt
2022-11-23T03:28:50.2601783Z [       OK ] ATen.addInt (0 ms)
2022-11-23T03:28:50.2602153Z [ RUN      ] ATen.addFloat
2022-11-23T03:28:50.2612184Z [       OK ] ATen.addFloat (1 ms)
2022-11-23T03:28:50.2612547Z [ RUN      ] ATen.subInt
2022-11-23T03:28:50.2622948Z [       OK ] ATen.subInt (1 ms)
2022-11-23T03:28:50.2623457Z [ RUN      ] ATen.subFloat
2022-11-23T03:28:50.2633177Z [       OK ] ATen.subFloat (1 ms)
2022-11-23T03:28:50.2633576Z [ RUN      ] ATen.lerp
2022-11-23T03:28:50.2645839Z [       OK ] ATen.lerp (1 ms)
2022-11-23T03:28:50.2646226Z [ RUN      ] ATen.addcmulInt
2022-11-23T03:28:50.2659137Z [       OK ] ATen.addcmulInt (1 ms)
2022-11-23T03:28:50.2659554Z [ RUN      ] ATen.addcmulFloat
2022-11-23T03:28:50.2672243Z [       OK ] ATen.addcmulFloat (1 ms)
2022-11-23T03:28:50.2672641Z [ RUN      ] ATen.mulInt
2022-11-23T03:28:50.2679379Z [       OK ] ATen.mulInt (0 ms)
2022-11-23T03:28:50.2679780Z [ RUN      ] ATen.mulFloat
2022-11-23T03:28:50.2686497Z [       OK ] ATen.mulFloat (0 ms)
2022-11-23T03:28:50.2686840Z [ RUN      ] ATen.divInt
2022-11-23T03:28:50.2693815Z [       OK ] ATen.divInt (0 ms)
2022-11-23T03:28:50.2694195Z [ RUN      ] ATen.divFloat
2022-11-23T03:28:50.2701575Z [       OK ] ATen.divFloat (0 ms)
2022-11-23T03:28:50.2701927Z [ RUN      ] ATen.maxInt
2022-11-23T03:28:50.2708929Z [       OK ] ATen.maxInt (0 ms)
2022-11-23T03:28:50.2709320Z [ RUN      ] ATen.maxFloat
2022-11-23T03:28:50.2716092Z [       OK ] ATen.maxFloat (0 ms)
2022-11-23T03:28:50.2716474Z [ RUN      ] ATen.minInt
2022-11-23T03:28:50.2723626Z [       OK ] ATen.minInt (0 ms)
2022-11-23T03:28:50.2723992Z [ RUN      ] ATen.minFloat
2022-11-23T03:28:50.2730786Z [       OK ] ATen.minFloat (0 ms)
2022-11-23T03:28:50.2731165Z [ RUN      ] ATen.reluInt
2022-11-23T03:28:50.2736527Z [       OK ] ATen.reluInt (0 ms)
2022-11-23T03:28:50.2737375Z [ RUN      ] ATen.reluFloat
2022-11-23T03:28:50.2742794Z [       OK ] ATen.reluFloat (0 ms)
2022-11-23T03:28:50.2743171Z [ RUN      ] ATen.logFloat
2022-11-23T03:28:50.2748678Z [       OK ] ATen.logFloat (0 ms)
2022-11-23T03:28:50.2749072Z [ RUN      ] ATen.fastLogFloat
2022-11-23T03:28:50.2976335Z [       OK ] ATen.fastLogFloat (22 ms)
2022-11-23T03:28:50.2976787Z [ RUN      ] ATen.fastTanhFloat
2022-11-23T03:28:50.3067267Z [       OK ] ATen.fastTanhFloat (8 ms)
2022-11-23T03:28:50.3067701Z [ RUN      ] ATen.fastSigmoidFloat
2022-11-23T03:28:50.3185742Z [       OK ] ATen.fastSigmoidFloat (11 ms)
2022-11-23T03:28:50.3186191Z [ RUN      ] ATen.log10Float
2022-11-23T03:28:50.3189645Z [       OK ] ATen.log10Float (0 ms)
2022-11-23T03:28:50.3190030Z [ RUN      ] ATen.log2Float
2022-11-23T03:28:50.3195260Z [       OK ] ATen.log2Float (0 ms)
2022-11-23T03:28:50.3195645Z [ RUN      ] ATen.expFloat
2022-11-23T03:28:50.3200679Z [       OK ] ATen.expFloat (0 ms)
2022-11-23T03:28:50.3201062Z [ RUN      ] ATen.erfFloat
2022-11-23T03:28:50.3206405Z [       OK ] ATen.erfFloat (0 ms)
2022-11-23T03:28:50.3207167Z [ RUN      ] ATen.cosFloat
2022-11-23T03:28:50.3212111Z [       OK ] ATen.cosFloat (0 ms)
2022-11-23T03:28:50.3212483Z [ RUN      ] ATen.eqInt
2022-11-23T03:28:50.3220805Z [       OK ] ATen.eqInt (0 ms)
2022-11-23T03:28:50.3221167Z [ RUN      ] ATen.geInt
2022-11-23T03:28:50.3228621Z [       OK ] ATen.geInt (0 ms)
2022-11-23T03:28:50.3228985Z [ RUN      ] ATen.gtInt
2022-11-23T03:28:50.3236625Z [       OK ] ATen.gtInt (0 ms)
2022-11-23T03:28:50.3237002Z [ RUN      ] ATen.leInt
2022-11-23T03:28:50.3244397Z [       OK ] ATen.leInt (0 ms)
2022-11-23T03:28:50.3244793Z [ RUN      ] ATen.ltInt
2022-11-23T03:28:50.3252629Z [       OK ] ATen.ltInt (0 ms)
2022-11-23T03:28:50.3253204Z [----------] 34 tests from ATen (67 ms total)
2022-11-23T03:28:50.3253417Z 
2022-11-23T03:28:50.3253643Z [----------] 26 tests from BoundsInference
2022-11-23T03:28:50.3254037Z [ RUN      ] BoundsInference._1
2022-11-23T03:28:50.3257728Z [       OK ] BoundsInference._1 (0 ms)
2022-11-23T03:28:50.3258134Z [ RUN      ] BoundsInference._2
2022-11-23T03:28:50.3262494Z [       OK ] BoundsInference._2 (0 ms)
2022-11-23T03:28:50.3262865Z [ RUN      ] BoundsInference._3
2022-11-23T03:28:50.3267317Z [       OK ] BoundsInference._3 (0 ms)
2022-11-23T03:28:50.3267720Z [ RUN      ] BoundsInference._4
2022-11-23T03:28:50.3276356Z [       OK ] BoundsInference._4 (0 ms)
2022-11-23T03:28:50.3276725Z [ RUN      ] BoundsInference._5
2022-11-23T03:28:50.3299187Z [       OK ] BoundsInference._5 (2 ms)
2022-11-23T03:28:50.3299625Z [ RUN      ] BoundsInference._6
2022-11-23T03:28:50.3314096Z [       OK ] BoundsInference._6 (1 ms)
2022-11-23T03:28:50.3314560Z [ RUN      ] BoundsInference.Adjacent
2022-11-23T03:28:50.3323407Z [       OK ] BoundsInference.Adjacent (0 ms)
2022-11-23T03:28:50.3323936Z [ RUN      ] BoundsInference.MultipleTopLoopLoad
2022-11-23T03:28:50.3331891Z [       OK ] BoundsInference.MultipleTopLoopLoad (0 ms)
2022-11-23T03:28:50.3332449Z [ RUN      ] BoundsInference.MultipleTopLoopStore
2022-11-23T03:28:50.3340547Z [       OK ] BoundsInference.MultipleTopLoopStore (0 ms)
2022-11-23T03:28:50.3341035Z [ RUN      ] BoundsInference.CacheReads
2022-11-23T03:28:50.3386569Z [       OK ] BoundsInference.CacheReads (4 ms)
2022-11-23T03:28:50.3387053Z [ RUN      ] BoundsInference.Flattened
2022-11-23T03:28:50.3406062Z [       OK ] BoundsInference.Flattened (2 ms)
2022-11-23T03:28:50.3407065Z [ RUN      ] BoundsInference.GetPotentialHazards
2022-11-23T03:28:50.3407936Z [       OK ] BoundsInference.GetPotentialHazards (0 ms)
2022-11-23T03:28:50.3408482Z [ RUN      ] BoundsInference.GetPotentialHazardsLoopNoHazard
2022-11-23T03:28:50.3414880Z [       OK ] BoundsInference.GetPotentialHazardsLoopNoHazard (0 ms)
2022-11-23T03:28:50.3415454Z [ RUN      ] BoundsInference.GetPotentialHazardsLoopCall
2022-11-23T03:28:50.3422982Z [       OK ] BoundsInference.GetPotentialHazardsLoopCall (0 ms)
2022-11-23T03:28:50.3423575Z [ RUN      ] BoundsInference.GetPotentialHazardsLoopSplit
2022-11-23T03:28:50.3443851Z [       OK ] BoundsInference.GetPotentialHazardsLoopSplit (1 ms)
2022-11-23T03:28:50.3444532Z [ RUN      ] BoundsInference.HasConflictingOverlapSameBufferWithPartialOverlap
2022-11-23T03:28:50.3450936Z [       OK ] BoundsInference.HasConflictingOverlapSameBufferWithPartialOverlap (0 ms)
2022-11-23T03:28:50.3451711Z [ RUN      ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlap
2022-11-23T03:28:50.3454173Z [       OK ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlap (0 ms)
2022-11-23T03:28:50.3454900Z [ RUN      ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlapRAW
2022-11-23T03:28:50.3458635Z [       OK ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlapRAW (0 ms)
2022-11-23T03:28:50.3459398Z [ RUN      ] BoundsInference.HasConflictingOverlapSameBufferNotOverlapping
2022-11-23T03:28:50.3463398Z [       OK ] BoundsInference.HasConflictingOverlapSameBufferNotOverlapping (0 ms)
2022-11-23T03:28:50.3464071Z [ RUN      ] BoundsInference.HasConflictingOverlap2DBufferWithOverlap
2022-11-23T03:28:50.3485868Z [       OK ] BoundsInference.HasConflictingOverlap2DBufferWithOverlap (2 ms)
2022-11-23T03:28:50.3486593Z [ RUN      ] BoundsInference.HasConflictingOverlap2DBufferWithNoOverlap
2022-11-23T03:28:50.3501487Z [       OK ] BoundsInference.HasConflictingOverlap2DBufferWithNoOverlap (1 ms)
2022-11-23T03:28:50.3502159Z [ RUN      ] BoundsInference.HasConflictingOverlapDifferentBuffers
2022-11-23T03:28:50.3504987Z [       OK ] BoundsInference.HasConflictingOverlapDifferentBuffers (0 ms)
2022-11-23T03:28:50.3505665Z [ RUN      ] BoundsInference.HasConflictingOverlapDueToRAWDependence
2022-11-23T03:28:50.3509666Z [       OK ] BoundsInference.HasConflictingOverlapDueToRAWDependence (0 ms)
2022-11-23T03:28:50.3510309Z [ RUN      ] BoundsInference.HasConflictingOverlapDueToWARDependence
2022-11-23T03:28:50.3513739Z [       OK ] BoundsInference.HasConflictingOverlapDueToWARDependence (0 ms)
2022-11-23T03:28:50.3514372Z [ RUN      ] BoundsInference.HasConflictingOverlapWithLoads
2022-11-23T03:28:50.3517960Z [       OK ] BoundsInference.HasConflictingOverlapWithLoads (0 ms)
2022-11-23T03:28:50.3518523Z [ RUN      ] BoundsInference.IsOverlapping
2022-11-23T03:28:50.3555285Z [       OK ] BoundsInference.IsOverlapping (3 ms)
2022-11-23T03:28:50.3555843Z [----------] 26 tests from BoundsInference (29 ms total)
2022-11-23T03:28:50.3556085Z 
2022-11-23T03:28:50.3556278Z [----------] 4 tests from Conv
2022-11-23T03:28:50.3556641Z [ RUN      ] Conv.DepthwiseConv2D
2022-11-23T03:28:50.7801406Z [       OK ] Conv.DepthwiseConv2D (424 ms)
2022-11-23T03:28:50.7802242Z [ RUN      ] Conv.DepthwiseConv2DNoBias
2022-11-23T03:28:51.1919618Z [       OK ] Conv.DepthwiseConv2DNoBias (411 ms)
2022-11-23T03:28:51.1920523Z [ RUN      ] Conv.DepthwiseConv2DDynamicShapes
2022-11-23T03:28:51.4726984Z [       OK ] Conv.DepthwiseConv2DDynamicShapes (280 ms)
2022-11-23T03:28:51.4727777Z [ RUN      ] Conv.Conv2D
2022-11-23T03:28:52.9036514Z [       OK ] Conv.Conv2D (1430 ms)
2022-11-23T03:28:52.9038031Z [----------] 4 tests from Conv (2547 ms total)
2022-11-23T03:28:52.9038427Z 
2022-11-23T03:28:52.9038836Z [----------] 28 tests from CppPrinter
2022-11-23T03:28:52.9039482Z [ RUN      ] CppPrinter.IntImm
2022-11-23T03:28:52.9040174Z [       OK ] CppPrinter.IntImm (0 ms)
2022-11-23T03:28:52.9040596Z [ RUN      ] CppPrinter.FloatImm
2022-11-23T03:28:52.9041409Z [       OK ] CppPrinter.FloatImm (0 ms)
2022-11-23T03:28:52.9042170Z [ RUN      ] CppPrinter.FloatImm1
2022-11-23T03:28:52.9042672Z [       OK ] CppPrinter.FloatImm1 (0 ms)
2022-11-23T03:28:52.9043371Z [ RUN      ] CppPrinter.DoubleImm
2022-11-23T03:28:52.9044201Z [       OK ] CppPrinter.DoubleImm (0 ms)
2022-11-23T03:28:52.9044692Z [ RUN      ] CppPrinter.DoubleImm1
2022-11-23T03:28:52.9045094Z [       OK ] CppPrinter.DoubleImm1 (0 ms)
2022-11-23T03:28:52.9045451Z [ RUN      ] CppPrinter.HalfImm
2022-11-23T03:28:52.9045841Z [       OK ] CppPrinter.HalfImm (0 ms)
2022-11-23T03:28:52.9046208Z [ RUN      ] CppPrinter.Add
2022-11-23T03:28:52.9046554Z [       OK ] CppPrinter.Add (0 ms)
2022-11-23T03:28:52.9046920Z [ RUN      ] CppPrinter.AddExpr1
2022-11-23T03:28:52.9047309Z [       OK ] CppPrinter.AddExpr1 (0 ms)
2022-11-23T03:28:52.9047834Z [ RUN      ] CppPrinter.AddExpr2
2022-11-23T03:28:52.9048292Z [       OK ] CppPrinter.AddExpr2 (0 ms)
2022-11-23T03:28:52.9048669Z [ RUN      ] CppPrinter.AddExpr3
2022-11-23T03:28:52.9049037Z [       OK ] CppPrinter.AddExpr3 (0 ms)
2022-11-23T03:28:52.9049393Z [ RUN      ] CppPrinter.Mod
2022-11-23T03:28:52.9049756Z [       OK ] CppPrinter.Mod (0 ms)
2022-11-23T03:28:52.9050102Z [ RUN      ] CppPrinter.ModFloat
2022-11-23T03:28:52.9050484Z [       OK ] CppPrinter.ModFloat (0 ms)
2022-11-23T03:28:52.9050845Z [ RUN      ] CppPrinter.Max
2022-11-23T03:28:52.9051218Z [       OK ] CppPrinter.Max (0 ms)
2022-11-23T03:28:52.9051562Z [ RUN      ] CppPrinter.MaxFloat
2022-11-23T03:28:52.9051949Z [       OK ] CppPrinter.MaxFloat (0 ms)
2022-11-23T03:28:52.9052318Z [ RUN      ] CppPrinter.MaxHalf
2022-11-23T03:28:52.9052678Z [       OK ] CppPrinter.MaxHalf (0 ms)
2022-11-23T03:28:52.9053038Z [ RUN      ] CppPrinter.And
2022-11-23T03:28:52.9053405Z [       OK ] CppPrinter.And (0 ms)
2022-11-23T03:28:52.9053771Z [ RUN      ] CppPrinter.CompareSelect
2022-11-23T03:28:52.9054187Z [       OK ] CppPrinter.CompareSelect (0 ms)
2022-11-23T03:28:52.9054588Z [ RUN      ] CppPrinter.IfThenElse
2022-11-23T03:28:52.9054961Z [       OK ] CppPrinter.IfThenElse (0 ms)
2022-11-23T03:28:52.9055364Z [ RUN      ] CppPrinter.AllocateFree
2022-11-23T03:28:52.9055776Z [       OK ] CppPrinter.AllocateFree (0 ms)
2022-11-23T03:28:52.9056987Z [ RUN      ] CppPrinter.LoadStore
2022-11-23T03:28:52.9057370Z [       OK ] CppPrinter.LoadStore (0 ms)
2022-11-23T03:28:52.9057740Z [ RUN      ] CppPrinter.Var
2022-11-23T03:28:52.9058103Z [       OK ] CppPrinter.Var (0 ms)
2022-11-23T03:28:52.9058433Z [ RUN      ] CppPrinter.Cast
2022-11-23T03:28:52.9058850Z [       OK ] CppPrinter.Cast (0 ms)
2022-11-23T03:28:52.9059213Z [ RUN      ] CppPrinter.BitCast
2022-11-23T03:28:52.9059568Z [       OK ] CppPrinter.BitCast (0 ms)
2022-11-23T03:28:52.9059930Z [ RUN      ] CppPrinter.Let
2022-11-23T03:28:52.9060286Z [       OK ] CppPrinter.Let (0 ms)
2022-11-23T03:28:52.9060616Z [ RUN      ] CppPrinter.For
2022-11-23T03:28:52.9060965Z [       OK ] CppPrinter.For (0 ms)
2022-11-23T03:28:52.9061319Z [ RUN      ] CppPrinter.Cond
2022-11-23T03:28:52.9061685Z [       OK ] CppPrinter.Cond (0 ms)
2022-11-23T03:28:52.9062186Z [ RUN      ] CppPrinter.Intrinsics
2022-11-23T03:28:52.9062578Z [       OK ] CppPrinter.Intrinsics (0 ms)
2022-11-23T03:28:52.9062981Z [ RUN      ] CppPrinter.ExternalCall
2022-11-23T03:28:52.9063370Z [       OK ] CppPrinter.ExternalCall (0 ms)
2022-11-23T03:28:52.9063810Z [----------] 28 tests from CppPrinter (1 ms total)
2022-11-23T03:28:52.9064036Z 
2022-11-23T03:28:52.9064255Z [----------] 8 tests from DynamicShapes
2022-11-23T03:28:52.9064625Z [ RUN      ] DynamicShapes.SimpleGraph
2022-11-23T03:28:53.0317640Z [       OK ] DynamicShapes.SimpleGraph (126 ms)
2022-11-23T03:28:53.0318307Z [ RUN      ] DynamicShapes.GraphWith2InputsSameDims
2022-11-23T03:28:53.1428282Z [       OK ] DynamicShapes.GraphWith2InputsSameDims (111 ms)
2022-11-23T03:28:53.1428974Z [ RUN      ] DynamicShapes.GraphWith2InputsAndBroadcast
2022-11-23T03:28:53.2501740Z [       OK ] DynamicShapes.GraphWith2InputsAndBroadcast (107 ms)
2022-11-23T03:28:53.2502586Z [ RUN      ] DynamicShapes.GraphWithPartiallySymbolicOutput
2022-11-23T03:28:53.3104334Z [       OK ] DynamicShapes.GraphWithPartiallySymbolicOutput (60 ms)
2022-11-23T03:28:53.3105004Z [ RUN      ] DynamicShapes.GraphWithSymbolicStrides
2022-11-23T03:28:53.5542620Z [       OK ] DynamicShapes.GraphWithSymbolicStrides (243 ms)
2022-11-23T03:28:53.5543651Z [ RUN      ] DynamicShapes.GraphWithCatAndBroadcast
2022-11-23T03:28:54.2376993Z [       OK ] DynamicShapes.GraphWithCatAndBroadcast (683 ms)
2022-11-23T03:28:54.2377593Z [ RUN      ] DynamicShapes.GraphFromModel
2022-11-23T03:28:54.8186667Z [       OK ] DynamicShapes.GraphFromModel (580 ms)
2022-11-23T03:28:54.8187242Z [ RUN      ] DynamicShapes.MultiThreadedExecution
2022-11-23T03:28:56.8557377Z [       OK ] DynamicShapes.MultiThreadedExecution (2037 ms)
2022-11-23T03:28:56.8558505Z [----------] 8 tests from DynamicShapes (3951 ms total)
2022-11-23T03:28:56.8559020Z 
2022-11-23T03:28:56.8559476Z [----------] 30 tests from Expr
2022-11-23T03:28:56.8560354Z [ RUN      ] Expr.BasicValueTest
2022-11-23T03:28:56.8560832Z [       OK ] Expr.BasicValueTest (0 ms)
2022-11-23T03:28:56.8561412Z [ RUN      ] Expr.BasicValueTest02
2022-11-23T03:28:56.8561831Z [       OK ] Expr.BasicValueTest02 (0 ms)
2022-11-23T03:28:56.8562258Z [ RUN      ] Expr.IsChannelsLastContiguous
2022-11-23T03:28:56.8562681Z [       OK ] Expr.IsChannelsLastContiguous (0 ms)
2022-11-23T03:28:56.8563069Z [ RUN      ] Expr.LetTest01
2022-11-23T03:28:56.8563429Z [       OK ] Expr.LetTest01 (0 ms)
2022-11-23T03:28:56.8563754Z [ RUN      ] Expr.LetTest02
2022-11-23T03:28:56.8564113Z [       OK ] Expr.LetTest02 (0 ms)
2022-11-23T03:28:56.8564474Z [ RUN      ] Expr.LetStmtTest01
2022-11-23T03:28:56.8564849Z [       OK ] Expr.LetStmtTest01 (0 ms)
2022-11-23T03:28:56.8565219Z [ RUN      ] Expr.IntTest
2022-11-23T03:28:56.8565576Z [       OK ] Expr.IntTest (0 ms)
2022-11-23T03:28:56.8565919Z [ RUN      ] Expr.FloatTest
2022-11-23T03:28:56.8566251Z [       OK ] Expr.FloatTest (0 ms)
2022-11-23T03:28:56.8566599Z [ RUN      ] Expr.ByteTest
2022-11-23T03:28:56.8566960Z [       OK ] Expr.ByteTest (0 ms)
2022-11-23T03:28:56.8567282Z [ RUN      ] Expr.CharTest
2022-11-23T03:28:56.8567642Z [       OK ] Expr.CharTest (0 ms)
2022-11-23T03:28:56.8567997Z [ RUN      ] Expr.ShortTest
2022-11-23T03:28:56.8568334Z [       OK ] Expr.ShortTest (0 ms)
2022-11-23T03:28:56.8568687Z [ RUN      ] Expr.LongTest
2022-11-23T03:28:56.8569043Z [       OK ] Expr.LongTest (0 ms)
2022-11-23T03:28:56.8569388Z [ RUN      ] Expr.HalfTest
2022-11-23T03:28:56.8569720Z [       OK ] Expr.HalfTest (0 ms)
2022-11-23T03:28:56.8570544Z [ RUN      ] Expr.DoubleTest
2022-11-23T03:28:56.8570916Z [       OK ] Expr.DoubleTest (0 ms)
2022-11-23T03:28:56.8571255Z [ RUN      ] Expr.VectorAdd01
2022-11-23T03:28:56.8582946Z [       OK ] Expr.VectorAdd01 (1 ms)
2022-11-23T03:28:56.8583502Z [ RUN      ] Expr.CompareSelectEQ
2022-11-23T03:28:56.8641032Z [       OK ] Expr.CompareSelectEQ (5 ms)
2022-11-23T03:28:56.8641554Z [ RUN      ] Expr.CompareSelectDtypes
2022-11-23T03:28:56.8700413Z [       OK ] Expr.CompareSelectDtypes (5 ms)
2022-11-23T03:28:56.8701008Z [ RUN      ] Expr.IntrinsicsDtypes
2022-11-23T03:28:56.8707140Z [       OK ] Expr.IntrinsicsDtypes (0 ms)
2022-11-23T03:28:56.8707976Z [ RUN      ] Expr.Substitute01
2022-11-23T03:28:56.8708758Z [       OK ] Expr.Substitute01 (0 ms)
2022-11-23T03:28:56.8709252Z [ RUN      ] Expr.Math01
2022-11-23T03:28:56.8709626Z [       OK ] Expr.Math01 (0 ms)
2022-11-23T03:28:56.8710011Z [ RUN      ] Expr.UnaryMath01
2022-11-23T03:28:56.8710902Z [       OK ] Expr.UnaryMath01 (0 ms)
2022-11-23T03:28:56.8711620Z [ RUN      ] Expr.BinaryMath01
2022-11-23T03:28:56.8712316Z [       OK ] Expr.BinaryMath01 (0 ms)
2022-11-23T03:28:56.8712660Z [ RUN      ] Expr.LogicalOps01
2022-11-23T03:28:56.8714256Z [       OK ] Expr.LogicalOps01 (0 ms)
2022-11-23T03:28:56.8714860Z [ RUN      ] Expr.LogicalOps02
2022-11-23T03:28:56.8715251Z [       OK ] Expr.LogicalOps02 (0 ms)
2022-11-23T03:28:56.8715679Z [ RUN      ] Expr.LogicalOps03
2022-11-23T03:28:56.8717077Z [       OK ] Expr.LogicalOps03 (0 ms)
2022-11-23T03:28:56.8717855Z [ RUN      ] Expr.BitwiseOps
2022-11-23T03:28:56.8718382Z [       OK ] Expr.BitwiseOps (0 ms)
2022-11-23T03:28:56.8718767Z [ RUN      ] Expr.DynamicShapeAdd
2022-11-23T03:28:56.8721789Z [       OK ] Expr.DynamicShapeAdd (0 ms)
2022-11-23T03:28:56.8722655Z [ RUN      ] Expr.OutOfBounds
2022-11-23T03:28:56.8723966Z [       OK ] Expr.OutOfBounds (0 ms)
2022-11-23T03:28:56.8724752Z [ RUN      ] Expr.OutOfBounds2d
2022-11-23T03:28:56.8736528Z [       OK ] Expr.OutOfBounds2d (1 ms)
2022-11-23T03:28:56.8737872Z [ RUN      ] Expr.OutOfBounds2dFlattenedIndex
2022-11-23T03:28:56.8744343Z [       OK ] Expr.OutOfBounds2dFlattenedIndex (0 ms)
2022-11-23T03:28:56.8745288Z [----------] 30 tests from Expr (18 ms total)
2022-11-23T03:28:56.8745513Z 
2022-11-23T03:28:56.8745738Z [----------] 16 tests from ExternalCall
2022-11-23T03:28:56.8746106Z [ RUN      ] ExternalCall.Conv1d_float
2022-11-23T03:28:56.9173892Z [       OK ] ExternalCall.Conv1d_float (42 ms)
2022-11-23T03:28:56.9174678Z [ RUN      ] ExternalCall.Conv1d_int
2022-11-23T03:28:56.9646093Z [       OK ] ExternalCall.Conv1d_int (47 ms)
2022-11-23T03:28:56.9646872Z [ RUN      ] ExternalCall.Conv1d_nobias_noargs
2022-11-23T03:28:57.0023606Z [       OK ] ExternalCall.Conv1d_nobias_noargs (37 ms)
2022-11-23T03:28:57.0024051Z [ RUN      ] ExternalCall.Conv2d_float
2022-11-23T03:28:57.0503303Z [       OK ] ExternalCall.Conv2d_float (47 ms)
2022-11-23T03:28:57.0503801Z [ RUN      ] ExternalCall.Conv2d_int
2022-11-23T03:28:57.1083494Z [       OK ] ExternalCall.Conv2d_int (57 ms)
2022-11-23T03:28:57.1083996Z [ RUN      ] ExternalCall.Conv2d_nobias_noargs
2022-11-23T03:28:57.1507708Z [       OK ] ExternalCall.Conv2d_nobias_noargs (42 ms)
2022-11-23T03:28:57.1508525Z [ RUN      ] ExternalCall.Addmm_float
2022-11-23T03:28:57.1908654Z [       OK ] ExternalCall.Addmm_float (40 ms)
2022-11-23T03:28:57.1909026Z [ RUN      ] ExternalCall.Embedding
2022-11-23T03:28:57.2293949Z [       OK ] ExternalCall.Embedding (38 ms)
2022-11-23T03:28:57.2294694Z [ RUN      ] ExternalCall.MaxReduction
2022-11-23T03:28:57.2643934Z [       OK ] ExternalCall.MaxReduction (35 ms)
2022-11-23T03:28:57.2644897Z [ RUN      ] ExternalCall.Prepacked_Linear_float
2022-11-23T03:28:57.3069051Z [       OK ] ExternalCall.Prepacked_Linear_float (42 ms)
2022-11-23T03:28:57.3071071Z [ RUN      ] ExternalCall.Prepacked_Conv2d_float
2022-11-23T03:28:57.3687553Z [       OK ] ExternalCall.Prepacked_Conv2d_float (61 ms)
2022-11-23T03:28:57.3688114Z [ RUN      ] ExternalCall.BinaryFloat
2022-11-23T03:28:57.4799007Z [       OK ] ExternalCall.BinaryFloat (111 ms)
2022-11-23T03:28:57.4799572Z [ RUN      ] ExternalCall.UnaryFloat
2022-11-23T03:28:57.5506839Z [       OK ] ExternalCall.UnaryFloat (70 ms)
2022-11-23T03:28:57.5507395Z [ RUN      ] ExternalCall.ComputeInterop
2022-11-23T03:28:59.0371833Z [       OK ] ExternalCall.ComputeInterop (1486 ms)
2022-11-23T03:28:59.0372366Z [ RUN      ] ExternalCall.Inlining
2022-11-23T03:28:59.1466439Z [       OK ] ExternalCall.Inlining (109 ms)
2022-11-23T03:28:59.1466999Z [ RUN      ] ExternalCall.JitCustomFusionOp
2022-11-23T03:28:59.3290344Z [       OK ] ExternalCall.JitCustomFusionOp (182 ms)
2022-11-23T03:28:59.3291239Z [----------] 16 tests from ExternalCall (2454 ms total)
2022-11-23T03:28:59.3291468Z 
2022-11-23T03:28:59.3292057Z [----------] 8 tests from GraphOpt
2022-11-23T03:28:59.3292467Z [ RUN      ] GraphOpt.OptimizeCat
2022-11-23T03:28:59.3780544Z [       OK ] GraphOpt.OptimizeCat (48 ms)
2022-11-23T03:28:59.3781055Z [ RUN      ] GraphOpt.OptimizeCat2
2022-11-23T03:28:59.4326154Z [       OK ] GraphOpt.OptimizeCat2 (54 ms)
2022-11-23T03:28:59.4326662Z [ RUN      ] GraphOpt.OptimizeCat3
2022-11-23T03:28:59.4953141Z [       OK ] GraphOpt.OptimizeCat3 (62 ms)
2022-11-23T03:28:59.4953763Z [ RUN      ] GraphOpt.OptimizeCatWithTypePromotionInUser
2022-11-23T03:28:59.5452372Z [       OK ] GraphOpt.OptimizeCatWithTypePromotionInUser (49 ms)
2022-11-23T03:28:59.5452971Z [ RUN      ] GraphOpt.OptimizeCatWithTypePromotionInCat
2022-11-23T03:28:59.6399367Z [       OK ] GraphOpt.OptimizeCatWithTypePromotionInCat (94 ms)
2022-11-23T03:28:59.6400006Z [ RUN      ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp
2022-11-23T03:28:59.6974113Z [       OK ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp (57 ms)
2022-11-23T03:28:59.6974759Z [ RUN      ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp2
2022-11-23T03:28:59.7584418Z [       OK ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp2 (60 ms)
2022-11-23T03:28:59.7585053Z [ RUN      ] GraphOpt.AOTGraphPrepPasses
2022-11-23T03:28:59.7585523Z [       OK ] GraphOpt.AOTGraphPrepPasses (0 ms)
2022-11-23T03:28:59.7585980Z [----------] 8 tests from GraphOpt (429 ms total)
2022-11-23T03:28:59.7586409Z 
2022-11-23T03:28:59.7586672Z [----------] 4 tests from IRPrinter
2022-11-23T03:28:59.7587037Z [ RUN      ] IRPrinter.BasicValueTest
2022-11-23T03:28:59.7587631Z [       OK ] IRPrinter.BasicValueTest (0 ms)
2022-11-23T03:28:59.7588325Z [ RUN      ] IRPrinter.BasicValueTest02
2022-11-23T03:28:59.7589061Z [       OK ] IRPrinter.BasicValueTest02 (0 ms)
2022-11-23T03:28:59.7589735Z [ RUN      ] IRPrinter.CastTest
2022-11-23T03:28:59.7590406Z [       OK ] IRPrinter.CastTest (0 ms)
2022-11-23T03:28:59.7591103Z [ RUN      ] IRPrinter.FunctionName
2022-11-23T03:28:59.7592012Z [       OK ] IRPrinter.FunctionName (0 ms)
2022-11-23T03:28:59.7592737Z [----------] 4 tests from IRPrinter (0 ms total)
2022-11-23T03:28:59.7592951Z 
2022-11-23T03:28:59.7593155Z [----------] 8 tests from IRVerifier
2022-11-23T03:28:59.7593510Z [ RUN      ] IRVerifier.BitwiseOps
2022-11-23T03:28:59.7593974Z [       OK ] IRVerifier.BitwiseOps (0 ms)
2022-11-23T03:28:59.7594898Z [ RUN      ] IRVerifier.CompareSelect
2022-11-23T03:28:59.7595297Z [       OK ] IRVerifier.CompareSelect (0 ms)
2022-11-23T03:28:59.7595681Z [ RUN      ] IRVerifier.Ramp
2022-11-23T03:28:59.7596053Z [       OK ] IRVerifier.Ramp (0 ms)
2022-11-23T03:28:59.7596383Z [ RUN      ] IRVerifier.Load
2022-11-23T03:28:59.7596758Z [       OK ] IRVerifier.Load (0 ms)
2022-11-23T03:28:59.7597137Z [ RUN      ] IRVerifier.IfThenElse
2022-11-23T03:28:59.7597536Z [       OK ] IRVerifier.IfThenElse (0 ms)
2022-11-23T03:28:59.7597884Z [ RUN      ] IRVerifier.For
2022-11-23T03:28:59.7598240Z [       OK ] IRVerifier.For (0 ms)
2022-11-23T03:28:59.7598597Z [ RUN      ] IRVerifier.Block
2022-11-23T03:28:59.7598944Z [       OK ] IRVerifier.Block (0 ms)
2022-11-23T03:28:59.7599301Z [ RUN      ] IRVerifier.Store
2022-11-23T03:28:59.7599694Z [       OK ] IRVerifier.Store (0 ms)
2022-11-23T03:28:59.7600093Z [----------] 8 tests from IRVerifier (0 ms total)
2022-11-23T03:28:59.7600311Z 
2022-11-23T03:28:59.7600511Z [----------] 39 tests from Kernel
2022-11-23T03:28:59.7600921Z [ RUN      ] Kernel.ParallelExternalCallBuf
2022-11-23T03:28:59.8487194Z [       OK ] Kernel.ParallelExternalCallBuf (88 ms)
2022-11-23T03:28:59.8488092Z [ RUN      ] Kernel.InliningIntermediates
2022-11-23T03:29:00.2939233Z [       OK ] Kernel.InliningIntermediates (445 ms)
2022-11-23T03:29:00.2939795Z [ RUN      ] Kernel.PreAllocIntermediateBufs
2022-11-23T03:29:00.4977255Z [       OK ] Kernel.PreAllocIntermediateBufs (203 ms)
2022-11-23T03:29:00.4977722Z [ RUN      ] Kernel._1
2022-11-23T03:29:00.5424590Z [       OK ] Kernel._1 (44 ms)
2022-11-23T03:29:00.5424957Z [ RUN      ] Kernel._2
2022-11-23T03:29:00.5910990Z [       OK ] Kernel._2 (48 ms)
2022-11-23T03:29:00.5911417Z [ RUN      ] Kernel._3
2022-11-23T03:29:00.6397806Z [       OK ] Kernel._3 (48 ms)
2022-11-23T03:29:00.6398218Z [ RUN      ] Kernel.Huge
2022-11-23T03:29:00.6787464Z [       OK ] Kernel.Huge (38 ms)
2022-11-23T03:29:00.6787899Z [ RUN      ] Kernel.ParallelStrided
2022-11-23T03:29:00.8113122Z [       OK ] Kernel.ParallelStrided (132 ms)
2022-11-23T03:29:00.8113674Z [ RUN      ] Kernel.CatInputTypesPromotion
2022-11-23T03:29:00.9506290Z [       OK ] Kernel.CatInputTypesPromotion (139 ms)
2022-11-23T03:29:00.9506778Z [ RUN      ] Kernel.ToDType
2022-11-23T03:29:00.9934077Z [       OK ] Kernel.ToDType (42 ms)
2022-11-23T03:29:00.9934616Z [ RUN      ] Kernel.CatAndInlineWithAConstantDim
2022-11-23T03:29:01.0371314Z [       OK ] Kernel.CatAndInlineWithAConstantDim (43 ms)
2022-11-23T03:29:01.0371858Z [ RUN      ] Kernel.CatWithEmptyInputs
2022-11-23T03:29:01.1441514Z [       OK ] Kernel.CatWithEmptyInputs (107 ms)
2022-11-23T03:29:01.1442104Z [ RUN      ] Kernel.CatWoConditionals
2022-11-23T03:29:01.2530012Z [       OK ] Kernel.CatWoConditionals (108 ms)
2022-11-23T03:29:01.2530515Z [ RUN      ] Kernel.OptimizeConditionals
2022-11-23T03:29:01.3927931Z [       OK ] Kernel.OptimizeConditionals (139 ms)
2022-11-23T03:29:01.3928507Z [ RUN      ] Kernel.SumAllAxes
2022-11-23T03:29:01.4690454Z [       OK ] Kernel.SumAllAxes (76 ms)
2022-11-23T03:29:01.4690875Z [ RUN      ] Kernel.SumOneAxis
2022-11-23T03:29:02.1042910Z [       OK ] Kernel.SumOneAxis (635 ms)
2022-11-23T03:29:02.1043476Z [ RUN      ] Kernel.SumMultipleAxes
2022-11-23T03:29:02.7627022Z [       OK ] Kernel.SumMultipleAxes (658 ms)
2022-11-23T03:29:02.7627613Z [ RUN      ] Kernel.Softmax2D
2022-11-23T03:29:03.4285202Z [       OK ] Kernel.Softmax2D (665 ms)
2022-11-23T03:29:03.4285980Z [ RUN      ] Kernel.Softmax3D
2022-11-23T03:29:04.7200526Z [       OK ] Kernel.Softmax3D (1291 ms)
2022-11-23T03:29:04.7200914Z [ RUN      ] Kernel.Softmax4D
2022-11-23T03:29:06.2781088Z [       OK ] Kernel.Softmax4D (1558 ms)
2022-11-23T03:29:06.2781429Z [ RUN      ] Kernel.SignTest
2022-11-23T03:29:06.4021461Z [       OK ] Kernel.SignTest (123 ms)
2022-11-23T03:29:06.4021888Z [ RUN      ] Kernel.InlineProducerIntoReduction
2022-11-23T03:29:06.4449423Z [       OK ] Kernel.InlineProducerIntoReduction (42 ms)
2022-11-23T03:29:06.4449919Z [ RUN      ] Kernel.InlineReductionIntoConsumer
2022-11-23T03:29:06.4980282Z [       OK ] Kernel.InlineReductionIntoConsumer (53 ms)
2022-11-23T03:29:06.4980694Z [ RUN      ] Kernel.SanitizeNames_CUDA
2022-11-23T03:29:06.8276633Z [       OK ] Kernel.SanitizeNames_CUDA (329 ms)
2022-11-23T03:29:06.8277016Z [ RUN      ] Kernel.SanitizeConstants_CUDA
2022-11-23T03:29:07.1571442Z [       OK ] Kernel.SanitizeConstants_CUDA (329 ms)
2022-11-23T03:29:07.1571869Z [ RUN      ] Kernel.ConstantTensors
2022-11-23T03:29:07.2162581Z [       OK ] Kernel.ConstantTensors (59 ms)
2022-11-23T03:29:07.2162974Z [ RUN      ] Kernel.ConstantTensorsNonContiguous
2022-11-23T03:29:07.2755080Z [       OK ] Kernel.ConstantTensorsNonContiguous (59 ms)
2022-11-23T03:29:07.2755575Z [ RUN      ] Kernel.RunFast
2022-11-23T03:29:07.3238646Z [       OK ] Kernel.RunFast (48 ms)
2022-11-23T03:29:07.3239028Z [ RUN      ] Kernel.RunWithAllocatedOutputs
2022-11-23T03:29:07.3720562Z [       OK ] Kernel.RunWithAllocatedOutputs (48 ms)
2022-11-23T03:29:07.3720951Z [ RUN      ] Kernel.CodegenInspection
2022-11-23T03:29:07.4310121Z [       OK ] Kernel.CodegenInspection (58 ms)
2022-11-23T03:29:07.4310472Z [ RUN      ] Kernel.CustomLowering
2022-11-23T03:29:07.4685567Z [       OK ] Kernel.CustomLowering (37 ms)
2022-11-23T03:29:07.4685935Z [ RUN      ] Kernel.Vectorize
2022-11-23T03:29:07.5157992Z [       OK ] Kernel.Vectorize (47 ms)
2022-11-23T03:29:07.5158416Z [ RUN      ] Kernel.Strided1dWithinBounds
2022-11-23T03:29:07.5512212Z [       OK ] Kernel.Strided1dWithinBounds (35 ms)
2022-11-23T03:29:07.5512607Z [ RUN      ] Kernel.InputAsOutput
2022-11-23T03:29:07.6033536Z [       OK ] Kernel.InputAsOutput (52 ms)
2022-11-23T03:29:07.6033866Z [ RUN      ] Kernel.ScalarOut
2022-11-23T03:29:07.6352479Z [       OK ] Kernel.ScalarOut (31 ms)
2022-11-23T03:29:07.6352851Z [ RUN      ] Kernel.ScalarTensorOut
2022-11-23T03:29:07.6751651Z [       OK ] Kernel.ScalarTensorOut (39 ms)
2022-11-23T03:29:07.6752050Z [ RUN      ] Kernel.FuseLoopsWithVariableBounds
2022-11-23T03:29:08.3249471Z [       OK ] Kernel.FuseLoopsWithVariableBounds (649 ms)
2022-11-23T03:29:08.3249946Z [ RUN      ] Kernel.FuseLoopsWithVariableConcatDim
2022-11-23T03:29:09.0260832Z [       OK ] Kernel.FuseLoopsWithVariableConcatDim (701 ms)
2022-11-23T03:29:09.0261354Z [ RUN      ] Kernel.DoNotFuseLoopsWithMismatchingVariableDims
2022-11-23T03:29:09.4855312Z [       OK ] Kernel.DoNotFuseLoopsWithMismatchingVariableDims (459 ms)
2022-11-23T03:29:09.4856723Z [----------] 39 tests from Kernel (9725 ms total)
2022-11-23T03:29:09.4857139Z 
2022-11-23T03:29:09.4857525Z [----------] 174 tests from LoopNest
2022-11-23T03:29:09.4857883Z [ RUN      ] LoopNest.ExprSimple01
2022-11-23T03:29:09.4858286Z [       OK ] LoopNest.ExprSimple01 (0 ms)
2022-11-23T03:29:09.4858656Z [ RUN      ] LoopNest.ExprLower01
2022-11-23T03:29:09.4859052Z [       OK ] LoopNest.ExprLower01 (0 ms)
2022-11-23T03:29:09.4859437Z [ RUN      ] LoopNest.ExprSimple02
2022-11-23T03:29:09.4892440Z [       OK ] LoopNest.ExprSimple02 (3 ms)
2022-11-23T03:29:09.4893710Z [ RUN      ] LoopNest.ExprSliceHeadWithLoopOptions
2022-11-23T03:29:09.4894594Z [       OK ] LoopNest.ExprSliceHeadWithLoopOptions (0 ms)
2022-11-23T03:29:09.4895189Z [ RUN      ] LoopNest.ExprSliceTailWithLoopOptions
2022-11-23T03:29:09.4898973Z [       OK ] LoopNest.ExprSliceTailWithLoopOptions (0 ms)
2022-11-23T03:29:09.4899542Z [ RUN      ] LoopNest.ExprSliceHeadWhenFactorEqualsSize
2022-11-23T03:29:09.4900820Z [       OK ] LoopNest.ExprSliceHeadWhenFactorEqualsSize (0 ms)
2022-11-23T03:29:09.4901429Z [ RUN      ] LoopNest.ExprSliceHeadWhenFactorLargerThanSize
2022-11-23T03:29:09.4902234Z [       OK ] LoopNest.ExprSliceHeadWhenFactorLargerThanSize (0 ms)
2022-11-23T03:29:09.4902726Z [ RUN      ] LoopNest.ExprSliceHead
2022-11-23T03:29:09.4903155Z [       OK ] LoopNest.ExprSliceHead (0 ms)
2022-11-23T03:29:09.4903603Z [ RUN      ] LoopNest.ExprSliceHeadWithNonZeroStart
2022-11-23T03:29:09.4906314Z [       OK ] LoopNest.ExprSliceHeadWithNonZeroStart (0 ms)
2022-11-23T03:29:09.4906785Z [ RUN      ] LoopNest.ExprSliceTailWhenFactorEqualsSize
2022-11-23T03:29:09.4907431Z [       OK ] LoopNest.ExprSliceTailWhenFactorEqualsSize (0 ms)
2022-11-23T03:29:09.4908117Z [ RUN      ] LoopNest.ExprSliceTailWhenFactorLargerThanSize
2022-11-23T03:29:09.4909107Z [       OK ] LoopNest.ExprSliceTailWhenFactorLargerThanSize (0 ms)
2022-11-23T03:29:09.4909810Z [ RUN      ] LoopNest.ExprSliceTail
2022-11-23T03:29:09.4910193Z [       OK ] LoopNest.ExprSliceTail (0 ms)
2022-11-23T03:29:09.4910603Z [ RUN      ] LoopNest.ExprSplitAndSlice
2022-11-23T03:29:09.4921716Z [       OK ] LoopNest.ExprSplitAndSlice (1 ms)
2022-11-23T03:29:09.4922152Z [ RUN      ] LoopNest.ExprSliceAndNormalize
2022-11-23T03:29:09.4924574Z [       OK ] LoopNest.ExprSliceAndNormalize (0 ms)
2022-11-23T03:29:09.4925075Z [ RUN      ] LoopNest.ExprSliceWithVariableDimension
2022-11-23T03:29:09.4953139Z [       OK ] LoopNest.ExprSliceWithVariableDimension (2 ms)
2022-11-23T03:29:09.4953658Z [ RUN      ] LoopNest.ExprSplitWithTail
2022-11-23T03:29:09.4963373Z [       OK ] LoopNest.ExprSplitWithTail (1 ms)
2022-11-23T03:29:09.4963795Z [ RUN      ] LoopNest.ExprSplitWithTailNone
2022-11-23T03:29:09.4983130Z [       OK ] LoopNest.ExprSplitWithTailNone (1 ms)
2022-11-23T03:29:09.4983561Z [ RUN      ] LoopNest.ExprSplitWithMask01
2022-11-23T03:29:09.5028216Z [       OK ] LoopNest.ExprSplitWithMask01 (4 ms)
2022-11-23T03:29:09.5028703Z [ RUN      ] LoopNest.ExprSplitWithMaskRepeatedNoMask
2022-11-23T03:29:09.5035079Z [       OK ] LoopNest.ExprSplitWithMaskRepeatedNoMask (0 ms)
2022-11-23T03:29:09.5035540Z [ RUN      ] LoopNest.getLoopAt
2022-11-23T03:29:09.5035923Z [       OK ] LoopNest.getLoopAt (0 ms)
2022-11-23T03:29:09.5036245Z [ RUN      ] LoopNest.TileSimple
2022-11-23T03:29:09.6373445Z [       OK ] LoopNest.TileSimple (133 ms)
2022-11-23T03:29:09.6373944Z [ RUN      ] LoopNest.TileWithTails
2022-11-23T03:29:09.7714363Z [       OK ] LoopNest.TileWithTails (134 ms)
2022-11-23T03:29:09.7714920Z [ RUN      ] LoopNest.TileInMiddle
2022-11-23T03:29:09.9895219Z [       OK ] LoopNest.TileInMiddle (217 ms)
2022-11-23T03:29:09.9895767Z [ RUN      ] LoopNest.SplitWithTailWithLoopOptions
2022-11-23T03:29:09.9896630Z [       OK ] LoopNest.SplitWithTailWithLoopOptions (0 ms)
2022-11-23T03:29:09.9897095Z [ RUN      ] LoopNest.SplitWithMaskWithLoopOptions
2022-11-23T03:29:09.9897594Z [       OK ] LoopNest.SplitWithMaskWithLoopOptions (0 ms)
2022-11-23T03:29:09.9898055Z [ RUN      ] LoopNest.ScheduleBroadcastAddBuffer
2022-11-23T03:29:09.9925144Z [       OK ] LoopNest.ScheduleBroadcastAddBuffer (2 ms)
2022-11-23T03:29:09.9925989Z [ RUN      ] LoopNest.ScheduleFunctionCall01
2022-11-23T03:29:10.0039336Z [       OK ] LoopNest.ScheduleFunctionCall01 (11 ms)
2022-11-23T03:29:10.0039801Z [ RUN      ] LoopNest.ScheduleInlineSimple
2022-11-23T03:29:10.0220915Z [       OK ] LoopNest.ScheduleInlineSimple (18 ms)
2022-11-23T03:29:10.0221406Z [ RUN      ] LoopNest.ScheduleInlineFunc01
2022-11-23T03:29:10.1076101Z [       OK ] LoopNest.ScheduleInlineFunc01 (85 ms)
2022-11-23T03:29:10.1076601Z [ RUN      ] LoopNest.ScheduleInlineRandom
2022-11-23T03:29:10.1080805Z [       OK ] LoopNest.ScheduleInlineRandom (0 ms)
2022-11-23T03:29:10.1081290Z [ RUN      ] LoopNest.ScheduleInlineRandomUnrelated
2022-11-23T03:29:10.1086533Z [       OK ] LoopNest.ScheduleInlineRandomUnrelated (0 ms)
2022-11-23T03:29:10.1087232Z [ RUN      ] LoopNest.ScheduleInlineRandomLowerDimensions
2022-11-23T03:29:10.1091147Z [       OK ] LoopNest.ScheduleInlineRandomLowerDimensions (0 ms)
2022-11-23T03:29:10.1091687Z [ RUN      ] LoopNest.ScheduleInlineIntrinsics
2022-11-23T03:29:10.1228501Z [       OK ] LoopNest.ScheduleInlineIntrinsics (13 ms)
2022-11-23T03:29:10.1229744Z [ RUN      ] LoopNest.ScheduleInlineRandWithIntrinsics
2022-11-23T03:29:10.1232066Z [       OK ] LoopNest.ScheduleInlineRandWithIntrinsics (0 ms)
2022-11-23T03:29:10.1232640Z [ RUN      ] LoopNest.ScheduleSplitAThenInline
2022-11-23T03:29:10.1233806Z [       OK ] LoopNest.ScheduleSplitAThenInline (0 ms)
2022-11-23T03:29:10.1234795Z [ RUN      ] LoopNest.ScheduleSplitBThenInline
2022-11-23T03:29:10.1240591Z [       OK ] LoopNest.ScheduleSplitBThenInline (0 ms)
2022-11-23T03:29:10.1241607Z [ RUN      ] LoopNest.ScheduleSplitTwiceThenInline
2022-11-23T03:29:10.1243250Z [       OK ] LoopNest.ScheduleSplitTwiceThenInline (0 ms)
2022-11-23T03:29:10.1244199Z [ RUN      ] LoopNest.ScheduleInlineThenSplit
2022-11-23T03:29:10.1249019Z [       OK ] LoopNest.ScheduleInlineThenSplit (0 ms)
2022-11-23T03:29:10.1250078Z [ RUN      ] LoopNest.ScheduleSplitInlineThenSplit
2022-11-23T03:29:10.1260822Z [       OK ] LoopNest.ScheduleSplitInlineThenSplit (1 ms)
2022-11-23T03:29:10.1261716Z [ RUN      ] LoopNest.ScheduleSplitInlineSimplify
2022-11-23T03:29:10.1263064Z [       OK ] LoopNest.ScheduleSplitInlineSimplify (0 ms)
2022-11-23T03:29:10.1264154Z [ RUN      ] LoopNest.ScheduleInlineThreeMixedOnce
2022-11-23T03:29:10.1270557Z [       OK ] LoopNest.ScheduleInlineThreeMixedOnce (0 ms)
2022-11-23T03:29:10.1271498Z [ RUN      ] LoopNest.ScheduleInlineThreeMixedTwice
2022-11-23T03:29:10.1278055Z [       OK ] LoopNest.ScheduleInlineThreeMixedTwice (0 ms)
2022-11-23T03:29:10.1278736Z [ RUN      ] LoopNest.ScheduleInlineThreeMixedInner
2022-11-23T03:29:10.1285428Z [       OK ] LoopNest.ScheduleInlineThreeMixedInner (0 ms)
2022-11-23T03:29:10.1286357Z [ RUN      ] LoopNest.ScheduleInlineThreeMixedSplit
2022-11-23T03:29:10.1289635Z [       OK ] LoopNest.ScheduleInlineThreeMixedSplit (0 ms)
2022-11-23T03:29:10.1290359Z [ RUN      ] LoopNest.ScheduleInlineOutputTensors
2022-11-23T03:29:10.1296307Z [       OK ] LoopNest.ScheduleInlineOutputTensors (0 ms)
2022-11-23T03:29:10.1297407Z [ RUN      ] LoopNest.ScheduleInlineWithCompoundIndices
2022-11-23T03:29:10.1298434Z [       OK ] LoopNest.ScheduleInlineWithCompoundIndices (0 ms)
2022-11-23T03:29:10.1299100Z [ RUN      ] LoopNest.ScheduleInlineConsumerIndicesWithCast
2022-11-23T03:29:10.1300166Z [       OK ] LoopNest.ScheduleInlineConsumerIndicesWithCast (0 ms)
2022-11-23T03:29:10.1300857Z [ RUN      ] LoopNest.ScheduleInlineProducerIndicesWithCast
2022-11-23T03:29:10.1301388Z [       OK ] LoopNest.ScheduleInlineProducerIndicesWithCast (0 ms)
2022-11-23T03:29:10.1302324Z [ RUN      ] LoopNest.ScheduleFuserStyle
2022-11-23T03:29:10.1381402Z [       OK ] LoopNest.ScheduleFuserStyle (7 ms)
2022-11-23T03:29:10.1381837Z [ RUN      ] LoopNest.ScheduleFuserThreeArg
2022-11-23T03:29:10.1474154Z [       OK ] LoopNest.ScheduleFuserThreeArg (9 ms)
2022-11-23T03:29:10.1474612Z [ RUN      ] LoopNest.ScheduleDynamicShape2D
2022-11-23T03:29:10.1631182Z [       OK ] LoopNest.ScheduleDynamicShape2D (15 ms)
2022-11-23T03:29:10.1631621Z [ RUN      ] LoopNest.LoopNestComputeAt_1
2022-11-23T03:29:10.1642994Z [       OK ] LoopNest.LoopNestComputeAt_1 (1 ms)
2022-11-23T03:29:10.1643444Z [ RUN      ] LoopNest.LoopNestComputeAt_2
2022-11-23T03:29:10.2379971Z [       OK ] LoopNest.LoopNestComputeAt_2 (73 ms)
2022-11-23T03:29:10.2380430Z [ RUN      ] LoopNest.LoopNestComputeAt_3
2022-11-23T03:29:10.3112278Z [       OK ] LoopNest.LoopNestComputeAt_3 (73 ms)
2022-11-23T03:29:10.3112816Z [ RUN      ] LoopNest.Reduce2dComputeAt
2022-11-23T03:29:10.4322236Z [       OK ] LoopNest.Reduce2dComputeAt (120 ms)
2022-11-23T03:29:10.4322743Z [ RUN      ] LoopNest.LoopNestReorderAxis1
2022-11-23T03:29:10.4323972Z [       OK ] LoopNest.LoopNestReorderAxis1 (0 ms)
2022-11-23T03:29:10.4324905Z [ RUN      ] LoopNest.LoopNestReorderPartialAxes
2022-11-23T03:29:10.4340815Z [       OK ] LoopNest.LoopNestReorderPartialAxes (1 ms)
2022-11-23T03:29:10.4341310Z [ RUN      ] LoopNest.LoopNestReorderInternalAxis
2022-11-23T03:29:10.4354973Z [       OK ] LoopNest.LoopNestReorderInternalAxis (1 ms)
2022-11-23T03:29:10.4355489Z [ RUN      ] LoopNest.LoopNestReorderEnclosingAxis
2022-11-23T03:29:10.4368860Z [       OK ] LoopNest.LoopNestReorderEnclosingAxis (1 ms)
2022-11-23T03:29:10.4369558Z [ RUN      ] LoopNest.LoopNestReorderSameAxis
2022-11-23T03:29:10.4370242Z [       OK ] LoopNest.LoopNestReorderSameAxis (0 ms)
2022-11-23T03:29:10.4370760Z [ RUN      ] LoopNest.LoopNestReorderExtraStatements
2022-11-23T03:29:10.4393126Z [       OK ] LoopNest.LoopNestReorderExtraStatements (2 ms)
2022-11-23T03:29:10.4393716Z [ RUN      ] LoopNest.LoopNestReorderLongStringOfPreOrphans
2022-11-23T03:29:10.5254799Z [       OK ] LoopNest.LoopNestReorderLongStringOfPreOrphans (85 ms)
2022-11-23T03:29:10.5255437Z [ RUN      ] LoopNest.LoopNestReorderLongStringOfPostOrphans
2022-11-23T03:29:10.6114536Z [       OK ] LoopNest.LoopNestReorderLongStringOfPostOrphans (85 ms)
2022-11-23T03:29:10.6115182Z [ RUN      ] LoopNest.LoopNestReorderLongStringFull
2022-11-23T03:29:10.7215187Z [       OK ] LoopNest.LoopNestReorderLongStringFull (109 ms)
2022-11-23T03:29:10.7215748Z [ RUN      ] LoopNest.LoopNestReorderInternalLoopNest
2022-11-23T03:29:10.7387433Z [       OK ] LoopNest.LoopNestReorderInternalLoopNest (17 ms)
2022-11-23T03:29:10.7388043Z [ RUN      ] LoopNest.OuterLoopVectorization
2022-11-23T03:29:10.7388501Z [       OK ] LoopNest.OuterLoopVectorization (0 ms)
2022-11-23T03:29:10.7388952Z [ RUN      ] LoopNest.VectorizeLoopNotNormalized
2022-11-23T03:29:10.7391799Z [       OK ] LoopNest.VectorizeLoopNotNormalized (0 ms)
2022-11-23T03:29:10.7392510Z [ RUN      ] LoopNest.Unroll
2022-11-23T03:29:10.7393045Z [       OK ] LoopNest.Unroll (0 ms)
2022-11-23T03:29:10.7393428Z [ RUN      ] LoopNest.UnrollOuter
2022-11-23T03:29:10.7396166Z [       OK ] LoopNest.UnrollOuter (0 ms)
2022-11-23T03:29:10.7396526Z [ RUN      ] LoopNest.UnrollInner
2022-11-23T03:29:10.7398930Z [       OK ] LoopNest.UnrollInner (0 ms)
2022-11-23T03:29:10.7399399Z [ RUN      ] LoopNest.UnrollMultipleStatements
2022-11-23T03:29:10.7399843Z [       OK ] LoopNest.UnrollMultipleStatements (0 ms)
2022-11-23T03:29:10.7400745Z [ RUN      ] LoopNest.UnrollNonLiteralConstantBounds
2022-11-23T03:29:10.7402340Z [       OK ] LoopNest.UnrollNonLiteralConstantBounds (0 ms)
2022-11-23T03:29:10.7402802Z [ RUN      ] LoopNest.UnrollNonConstantBounds
2022-11-23T03:29:10.7428469Z [       OK ] LoopNest.UnrollNonConstantBounds (2 ms)
2022-11-23T03:29:10.7428999Z [ RUN      ] LoopNest.UnrollByFactorsLessThan2
2022-11-23T03:29:10.7429474Z [       OK ] LoopNest.UnrollByFactorsLessThan2 (0 ms)
2022-11-23T03:29:10.7430067Z [ RUN      ] LoopNest.UnrollByFactorEqualToIters
2022-11-23T03:29:10.7432316Z [       OK ] LoopNest.UnrollByFactorEqualToIters (0 ms)
2022-11-23T03:29:10.7433063Z [ RUN      ] LoopNest.UnrollEmpty
2022-11-23T03:29:10.7433626Z [       OK ] LoopNest.UnrollEmpty (0 ms)
2022-11-23T03:29:10.7434024Z [ RUN      ] LoopNest.NoUnroll
2022-11-23T03:29:10.7434352Z [       OK ] LoopNest.NoUnroll (0 ms)
2022-11-23T03:29:10.7434751Z [ RUN      ] LoopNest.UnrollWithLet
2022-11-23T03:29:10.7436197Z [       OK ] LoopNest.UnrollWithLet (0 ms)
2022-11-23T03:29:10.7436556Z [ RUN      ] LoopNest.IsNormalized
2022-11-23T03:29:10.7436942Z [       OK ] LoopNest.IsNormalized (0 ms)
2022-11-23T03:29:10.7437359Z [ RUN      ] LoopNest.NormalizeStartPositive
2022-11-23T03:29:10.7441112Z [       OK ] LoopNest.NormalizeStartPositive (0 ms)
2022-11-23T03:29:10.7441653Z [ RUN      ] LoopNest.NormalizeStartNegative
2022-11-23T03:29:10.7444495Z [       OK ] LoopNest.NormalizeStartNegative (0 ms)
2022-11-23T03:29:10.7444946Z [ RUN      ] LoopNest.NormalizeStartZero
2022-11-23T03:29:10.7445358Z [       OK ] LoopNest.NormalizeStartZero (0 ms)
2022-11-23T03:29:10.7445796Z [ RUN      ] LoopNest.NormalizeStartVariable
2022-11-23T03:29:10.7450083Z [       OK ] LoopNest.NormalizeStartVariable (0 ms)
2022-11-23T03:29:10.7450557Z [ RUN      ] LoopNest.NormalizeOnNestedOuterLoop
2022-11-23T03:29:10.7453689Z [       OK ] LoopNest.NormalizeOnNestedOuterLoop (0 ms)
2022-11-23T03:29:10.7457360Z [ RUN      ] LoopNest.NormalizeOnNestedInnerLoop
2022-11-23T03:29:10.7457846Z [       OK ] LoopNest.NormalizeOnNestedInnerLoop (0 ms)
2022-11-23T03:29:10.7458324Z [ RUN      ] LoopNest.NormalizeAndSplitWithTail
2022-11-23T03:29:10.7463997Z [       OK ] LoopNest.NormalizeAndSplitWithTail (0 ms)
2022-11-23T03:29:10.7464496Z [ RUN      ] LoopNest.NotNormalizeAndSplitWithTail
2022-11-23T03:29:10.7471725Z [       OK ] LoopNest.NotNormalizeAndSplitWithTail (0 ms)
2022-11-23T03:29:10.7472200Z [ RUN      ] LoopNest.FlattenSimpleLoopNest2D
2022-11-23T03:29:10.7486674Z [       OK ] LoopNest.FlattenSimpleLoopNest2D (1 ms)
2022-11-23T03:29:10.7487146Z [ RUN      ] LoopNest.FlattenSimpleLoopNest3D
2022-11-23T03:29:10.7611579Z [       OK ] LoopNest.FlattenSimpleLoopNest3D (12 ms)
2022-11-23T03:29:10.7612130Z [ RUN      ] LoopNest.FlattenLoopNestAfterNormalize
2022-11-23T03:29:10.7651699Z [       OK ] LoopNest.FlattenLoopNestAfterNormalize (3 ms)
2022-11-23T03:29:10.7652319Z [ RUN      ] LoopNest.FlattenLoopNestWithNonLiteralConstantBounds
2022-11-23T03:29:10.7668846Z [       OK ] LoopNest.FlattenLoopNestWithNonLiteralConstantBounds (1 ms)
2022-11-23T03:29:10.7669793Z [ RUN      ] LoopNest.FlattenImperfectLoopNest
2022-11-23T03:29:10.7670590Z [       OK ] LoopNest.FlattenImperfectLoopNest (0 ms)
2022-11-23T03:29:10.7671325Z [ RUN      ] LoopNest.FlattenReductionLoopNest
2022-11-23T03:29:10.7671775Z [       OK ] LoopNest.FlattenReductionLoopNest (0 ms)
2022-11-23T03:29:10.7672509Z [ RUN      ] LoopNest.FlattenReductionLoopNestFromTensor
2022-11-23T03:29:10.7673072Z [       OK ] LoopNest.FlattenReductionLoopNestFromTensor (0 ms)
2022-11-23T03:29:10.7673727Z [ RUN      ] LoopNest.FlattenIncorrectLoopsAsInput
2022-11-23T03:29:10.7674680Z [       OK ] LoopNest.FlattenIncorrectLoopsAsInput (0 ms)
2022-11-23T03:29:10.7675474Z [ RUN      ] LoopNest.DetectInlineRankMismatch
2022-11-23T03:29:10.7675952Z [       OK ] LoopNest.DetectInlineRankMismatch (0 ms)
2022-11-23T03:29:10.7676428Z [ RUN      ] LoopNest.CacheReadsSimple
2022-11-23T03:29:10.8213541Z [       OK ] LoopNest.CacheReadsSimple (53 ms)
2022-11-23T03:29:10.8214030Z [ RUN      ] LoopNest.CacheReadsOuter
2022-11-23T03:29:10.8796023Z [       OK ] LoopNest.CacheReadsOuter (58 ms)
2022-11-23T03:29:10.8796520Z [ RUN      ] LoopNest.CacheReadsInternal
2022-11-23T03:29:10.9417460Z [       OK ] LoopNest.CacheReadsInternal (62 ms)
2022-11-23T03:29:10.9417930Z [ RUN      ] LoopNest.CacheReadsInner
2022-11-23T03:29:11.0386638Z [       OK ] LoopNest.CacheReadsInner (96 ms)
2022-11-23T03:29:11.0387128Z [ RUN      ] LoopNest.CacheWritesSimple
2022-11-23T03:29:11.1481136Z [       OK ] LoopNest.CacheWritesSimple (109 ms)
2022-11-23T03:29:11.1481677Z [ RUN      ] LoopNest.DeadStoreElimination
2022-11-23T03:29:11.1504093Z [       OK ] LoopNest.DeadStoreElimination (2 ms)
2022-11-23T03:29:11.1504653Z [ RUN      ] LoopNest.DeadStoreEliminationWithIntermediates
2022-11-23T03:29:11.1522671Z [       OK ] LoopNest.DeadStoreEliminationWithIntermediates (1 ms)
2022-11-23T03:29:11.1523270Z [ RUN      ] LoopNest.CompoundTensorSimple
2022-11-23T03:29:11.1543906Z [       OK ] LoopNest.CompoundTensorSimple (2 ms)
2022-11-23T03:29:11.1544385Z [ RUN      ] LoopNest.InlineConstantIndex
2022-11-23T03:29:11.1548313Z [       OK ] LoopNest.InlineConstantIndex (0 ms)
2022-11-23T03:29:11.1548922Z [ RUN      ] LoopNest.CompoundTensorUsed
2022-11-23T03:29:11.1584831Z [       OK ] LoopNest.CompoundTensorUsed (3 ms)
2022-11-23T03:29:11.1585443Z [ RUN      ] LoopNest.InlineFromLoad
2022-11-23T03:29:11.1585860Z [       OK ] LoopNest.InlineFromLoad (0 ms)
2022-11-23T03:29:11.1586509Z [ RUN      ] LoopNest.OptimizeConditionalsSimple
2022-11-23T03:29:11.1587643Z [       OK ] LoopNest.OptimizeConditionalsSimple (0 ms)
2022-11-23T03:29:11.1588194Z [ RUN      ] LoopNest.OptimizeConditionalsNestedConditions
2022-11-23T03:29:11.1591099Z [       OK ] LoopNest.OptimizeConditionalsNestedConditions (0 ms)
2022-11-23T03:29:11.1591665Z [ RUN      ] LoopNest.OptimizeConditionalsMultipleStores
2022-11-23T03:29:11.1595193Z [       OK ] LoopNest.OptimizeConditionalsMultipleStores (0 ms)
2022-11-23T03:29:11.1595782Z [ RUN      ] LoopNest.OptimizeConditionalsMultipleStoresInOneLoop
2022-11-23T03:29:11.1602640Z [       OK ] LoopNest.OptimizeConditionalsMultipleStoresInOneLoop (0 ms)
2022-11-23T03:29:11.1603227Z [ RUN      ] LoopNest.OptimizeConditionalsOuterLoopVar
2022-11-23T03:29:11.1608077Z [       OK ] LoopNest.OptimizeConditionalsOuterLoopVar (0 ms)
2022-11-23T03:29:11.1608769Z [ RUN      ] LoopNest.OptimizeConditionalsCompValuesNotOrdered
2022-11-23T03:29:11.1612744Z [       OK ] LoopNest.OptimizeConditionalsCompValuesNotOrdered (0 ms)
2022-11-23T03:29:11.1613374Z [ RUN      ] LoopNest.OptimizeConditionalsCompValuesNotConstants
2022-11-23T03:29:11.1617240Z [       OK ] LoopNest.OptimizeConditionalsCompValuesNotConstants (0 ms)
2022-11-23T03:29:11.1617848Z [ RUN      ] LoopNest.OptimizeConditionalsInvalidCondition
2022-11-23T03:29:11.1622829Z [       OK ] LoopNest.OptimizeConditionalsInvalidCondition (0 ms)
2022-11-23T03:29:11.1623441Z [ RUN      ] LoopNest.OptimizeConditionalsInvalidCondition2
2022-11-23T03:29:11.1627414Z [       OK ] LoopNest.OptimizeConditionalsInvalidCondition2 (0 ms)
2022-11-23T03:29:11.1627997Z [ RUN      ] LoopNest.OptimizeConditionalsInvalidCondition3
2022-11-23T03:29:11.1632070Z [       OK ] LoopNest.OptimizeConditionalsInvalidCondition3 (0 ms)
2022-11-23T03:29:11.1633064Z [ RUN      ] LoopNest.OptimizeConditionalsInvalidCondition4
2022-11-23T03:29:11.1636499Z [       OK ] LoopNest.OptimizeConditionalsInvalidCondition4 (0 ms)
2022-11-23T03:29:11.1637235Z [ RUN      ] LoopNest.OptimizeConditionalsNotNormalized
2022-11-23T03:29:11.1638001Z [       OK ] LoopNest.OptimizeConditionalsNotNormalized (0 ms)
2022-11-23T03:29:11.1638520Z [ RUN      ] LoopNest.ColReduceSplitTailEvenReorder
2022-11-23T03:29:11.3799448Z [       OK ] LoopNest.ColReduceSplitTailEvenReorder (215 ms)
2022-11-23T03:29:11.3800031Z [ RUN      ] LoopNest.ColReduceSplitTailUnevenReorder
2022-11-23T03:29:11.5518088Z [       OK ] LoopNest.ColReduceSplitTailUnevenReorder (171 ms)
2022-11-23T03:29:11.5518929Z [ RUN      ] LoopNest.ColReduceSplitMaskEvenReorder
2022-11-23T03:29:11.7676100Z [       OK ] LoopNest.ColReduceSplitMaskEvenReorder (215 ms)
2022-11-23T03:29:11.7676681Z [ RUN      ] LoopNest.ColReduceSplitMaskUnevenReorder
2022-11-23T03:29:11.9614093Z [       OK ] LoopNest.ColReduceSplitMaskUnevenReorder (193 ms)
2022-11-23T03:29:11.9614877Z [ RUN      ] LoopNest.ReorderAxisWithMultipleConds
2022-11-23T03:29:11.9616272Z [       OK ] LoopNest.ReorderAxisWithMultipleConds (0 ms)
2022-11-23T03:29:11.9617318Z [ RUN      ] LoopNest.VectorizeUse
2022-11-23T03:29:11.9618890Z [       OK ] LoopNest.VectorizeUse (0 ms)
2022-11-23T03:29:11.9619308Z [ RUN      ] LoopNest.Int64Direct
2022-11-23T03:29:11.9620358Z [       OK ] LoopNest.Int64Direct (0 ms)
2022-11-23T03:29:11.9620716Z [ RUN      ] LoopNest.Int64Compute
2022-11-23T03:29:11.9621641Z [       OK ] LoopNest.Int64Compute (0 ms)
2022-11-23T03:29:11.9622107Z [ RUN      ] LoopNest.DistributeLoopWithAllStmtsAsPivots
2022-11-23T03:29:11.9623384Z [       OK ] LoopNest.DistributeLoopWithAllStmtsAsPivots (0 ms)
2022-11-23T03:29:11.9624044Z [ RUN      ] LoopNest.DistributeLoopWithOneStmtAsPivot
2022-11-23T03:29:11.9624537Z [       OK ] LoopNest.DistributeLoopWithOneStmtAsPivot (0 ms)
2022-11-23T03:29:11.9625360Z [ RUN      ] LoopNest.DistributeLoopWithoutAnyPivot
2022-11-23T03:29:11.9625939Z [       OK ] LoopNest.DistributeLoopWithoutAnyPivot (0 ms)
2022-11-23T03:29:11.9626417Z [ RUN      ] LoopNest.DistributeLoopOverInnerLoops
2022-11-23T03:29:11.9627063Z [       OK ] LoopNest.DistributeLoopOverInnerLoops (0 ms)
2022-11-23T03:29:11.9627567Z [ RUN      ] LoopNest.DistributeLoopAndParentsWithoutAnyPivot
2022-11-23T03:29:11.9628428Z [       OK ] LoopNest.DistributeLoopAndParentsWithoutAnyPivot (0 ms)
2022-11-23T03:29:11.9628924Z [ RUN      ] LoopNest.fuseLoopsSimple
2022-11-23T03:29:11.9631918Z [       OK ] LoopNest.fuseLoopsSimple (0 ms)
2022-11-23T03:29:11.9632311Z [ RUN      ] LoopNest.fuseLoopsMultiple
2022-11-23T03:29:11.9639523Z [       OK ] LoopNest.fuseLoopsMultiple (0 ms)
2022-11-23T03:29:11.9639962Z [ RUN      ] LoopNest.fuseLoopsNested
2022-11-23T03:29:11.9649743Z [       OK ] LoopNest.fuseLoopsNested (1 ms)
2022-11-23T03:29:11.9650175Z [ RUN      ] LoopNest.fuseLoopsNested2D
2022-11-23T03:29:11.9655155Z [       OK ] LoopNest.fuseLoopsNested2D (0 ms)
2022-11-23T03:29:11.9655624Z [ RUN      ] LoopNest.fuseLoopsNested2DInner
2022-11-23T03:29:11.9658867Z [       OK ] LoopNest.fuseLoopsNested2DInner (0 ms)
2022-11-23T03:29:11.9659395Z [ RUN      ] LoopNest.fuseLoopsDifferentStopBounds
2022-11-23T03:29:11.9660109Z [       OK ] LoopNest.fuseLoopsDifferentStopBounds (0 ms)
2022-11-23T03:29:11.9660643Z [ RUN      ] LoopNest.fuseLoopsDifferentStartBounds
2022-11-23T03:29:11.9661174Z [       OK ] LoopNest.fuseLoopsDifferentStartBounds (0 ms)
2022-11-23T03:29:11.9662210Z [ RUN      ] LoopNest.fuseLoopsNotContiguous
2022-11-23T03:29:11.9662974Z [       OK ] LoopNest.fuseLoopsNotContiguous (0 ms)
2022-11-23T03:29:11.9663708Z [ RUN      ] LoopNest.fuseLoopsWithDifferentParents
2022-11-23T03:29:11.9664231Z [       OK ] LoopNest.fuseLoopsWithDifferentParents (0 ms)
2022-11-23T03:29:11.9664719Z [ RUN      ] LoopNest.fuseLoopsWithVariableBounds
2022-11-23T03:29:11.9668590Z [       OK ] LoopNest.fuseLoopsWithVariableBounds (0 ms)
2022-11-23T03:29:11.9669070Z [ RUN      ] LoopNest.fuseLoopsWithExprBounds
2022-11-23T03:29:11.9676612Z [       OK ] LoopNest.fuseLoopsWithExprBounds (0 ms)
2022-11-23T03:29:11.9677107Z [ RUN      ] LoopNest.fuseLoopsWithDifferentExprBounds
2022-11-23T03:29:11.9682992Z [       OK ] LoopNest.fuseLoopsWithDifferentExprBounds (0 ms)
2022-11-23T03:29:11.9683565Z [ RUN      ] LoopNest.fuseLoopsWithNonOverlappingBufferAccesses
2022-11-23T03:29:11.9689751Z [       OK ] LoopNest.fuseLoopsWithNonOverlappingBufferAccesses (0 ms)
2022-11-23T03:29:11.9690376Z [ RUN      ] LoopNest.fuseLoopsWithNonOverlapping2DBufferAccesses
2022-11-23T03:29:11.9702315Z [       OK ] LoopNest.fuseLoopsWithNonOverlapping2DBufferAccesses (1 ms)
2022-11-23T03:29:11.9703459Z [ RUN      ] LoopNest.fuseLoopsWithReductions
2022-11-23T03:29:11.9710196Z [       OK ] LoopNest.fuseLoopsWithReductions (0 ms)
2022-11-23T03:29:11.9710684Z [ RUN      ] LoopNest.fuseLoopsWith2DReductions
2022-11-23T03:29:11.9724868Z [       OK ] LoopNest.fuseLoopsWith2DReductions (1 ms)
2022-11-23T03:29:11.9725354Z [ RUN      ] LoopNest.fuseLoopsWithComplexIndices
2022-11-23T03:29:11.9736973Z [       OK ] LoopNest.fuseLoopsWithComplexIndices (1 ms)
2022-11-23T03:29:11.9737679Z [ RUN      ] LoopNest.fuseLoopsWithMixedLoopVarsAsIndices
2022-11-23T03:29:11.9755426Z [       OK ] LoopNest.fuseLoopsWithMixedLoopVarsAsIndices (1 ms)
2022-11-23T03:29:11.9755967Z [ RUN      ] LoopNest.fuseLoopsWithTranspose
2022-11-23T03:29:11.9763025Z [       OK ] LoopNest.fuseLoopsWithTranspose (0 ms)
2022-11-23T03:29:11.9763757Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies1
2022-11-23T03:29:11.9770037Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies1 (0 ms)
2022-11-23T03:29:11.9770706Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies2
2022-11-23T03:29:11.9776409Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies2 (0 ms)
2022-11-23T03:29:11.9777473Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies3
2022-11-23T03:29:11.9789667Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies3 (1 ms)
2022-11-23T03:29:11.9790641Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies4
2022-11-23T03:29:11.9804739Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies4 (1 ms)
2022-11-23T03:29:11.9805704Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies5
2022-11-23T03:29:11.9811815Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies5 (0 ms)
2022-11-23T03:29:11.9812758Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies6
2022-11-23T03:29:11.9819993Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies6 (0 ms)
2022-11-23T03:29:11.9821157Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies7
2022-11-23T03:29:11.9827320Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies7 (0 ms)
2022-11-23T03:29:11.9827818Z [ RUN      ] LoopNest.areLoopsPerfectlyNested
2022-11-23T03:29:11.9828373Z [       OK ] LoopNest.areLoopsPerfectlyNested (0 ms)
2022-11-23T03:29:11.9829017Z [ RUN      ] LoopNest.reorderNestedLoops2D
2022-11-23T03:29:11.9829487Z [       OK ] LoopNest.reorderNestedLoops2D (0 ms)
2022-11-23T03:29:11.9829886Z [ RUN      ] LoopNest.reorderNestedLoops3D
2022-11-23T03:29:11.9831037Z [       OK ] LoopNest.reorderNestedLoops3D (0 ms)
2022-11-23T03:29:11.9831703Z [ RUN      ] LoopNest.reorderNestedLoops4D
2022-11-23T03:29:11.9832105Z [       OK ] LoopNest.reorderNestedLoops4D (0 ms)
2022-11-23T03:29:11.9832723Z [ RUN      ] LoopNest.reorderTrivialPermutation
2022-11-23T03:29:11.9833479Z [       OK ] LoopNest.reorderTrivialPermutation (0 ms)
2022-11-23T03:29:11.9834199Z [ RUN      ] LoopNest.reorderInvalidPermutations
2022-11-23T03:29:11.9834860Z [       OK ] LoopNest.reorderInvalidPermutations (0 ms)
2022-11-23T03:29:11.9835560Z [ RUN      ] LoopNest.reorderInvalidLoopNest
2022-11-23T03:29:11.9836360Z [       OK ] LoopNest.reorderInvalidLoopNest (0 ms)
2022-11-23T03:29:11.9836965Z [ RUN      ] LoopNest.compressBufferSimple
2022-11-23T03:29:11.9837410Z [       OK ] LoopNest.compressBufferSimple (0 ms)
2022-11-23T03:29:11.9838158Z [ RUN      ] LoopNest.compressBufferMultipleDims
2022-11-23T03:29:11.9838618Z [       OK ] LoopNest.compressBufferMultipleDims (0 ms)
2022-11-23T03:29:11.9839102Z [ RUN      ] LoopNest.compressBufferMultipleDims2
2022-11-23T03:29:11.9839722Z [       OK ] LoopNest.compressBufferMultipleDims2 (0 ms)
2022-11-23T03:29:11.9840607Z [ RUN      ] LoopNest.compressBufferDifferentOrderIndices
2022-11-23T03:29:11.9841250Z [       OK ] LoopNest.compressBufferDifferentOrderIndices (0 ms)
2022-11-23T03:29:11.9841766Z [ RUN      ] LoopNest.compressBufferVariableBounds
2022-11-23T03:29:11.9842207Z [       OK ] LoopNest.compressBufferVariableBounds (0 ms)
2022-11-23T03:29:11.9842696Z [ RUN      ] LoopNest.compressBufferNoCommonParentLoops
2022-11-23T03:29:11.9843234Z [       OK ] LoopNest.compressBufferNoCommonParentLoops (0 ms)
2022-11-23T03:29:11.9843733Z [ RUN      ] LoopNest.compressBufferIndicesMixed
2022-11-23T03:29:11.9844203Z [       OK ] LoopNest.compressBufferIndicesMixed (0 ms)
2022-11-23T03:29:11.9844669Z [ RUN      ] LoopNest.compressMultipleBuffers
2022-11-23T03:29:11.9845126Z [       OK ] LoopNest.compressMultipleBuffers (0 ms)
2022-11-23T03:29:11.9845539Z [ RUN      ] LoopNest.sanitizeNames
2022-11-23T03:29:11.9866590Z [       OK ] LoopNest.sanitizeNames (2 ms)
2022-11-23T03:29:11.9867099Z [----------] 174 tests from LoopNest (2501 ms total)
2022-11-23T03:29:11.9867320Z 
2022-11-23T03:29:11.9867542Z [----------] 31 tests from MemDependency
2022-11-23T03:29:11.9867871Z [ RUN      ] MemDependency.BoundOverlap
2022-11-23T03:29:11.9882712Z [       OK ] MemDependency.BoundOverlap (1 ms)
2022-11-23T03:29:11.9883174Z [ RUN      ] MemDependency.BoundComparison
2022-11-23T03:29:11.9895470Z [       OK ] MemDependency.BoundComparison (1 ms)
2022-11-23T03:29:11.9895941Z [ RUN      ] MemDependency.BoundOverlapSymbolic
2022-11-23T03:29:11.9909858Z [       OK ] MemDependency.BoundOverlapSymbolic (1 ms)
2022-11-23T03:29:11.9910361Z [ RUN      ] MemDependency.BoundOverlapMultiDim
2022-11-23T03:29:11.9922388Z [       OK ] MemDependency.BoundOverlapMultiDim (1 ms)
2022-11-23T03:29:11.9922854Z [ RUN      ] MemDependency.BoundSubtract
2022-11-23T03:29:11.9932758Z [       OK ] MemDependency.BoundSubtract (1 ms)
2022-11-23T03:29:11.9933225Z [ RUN      ] MemDependency.BoundSubtractSymbolic
2022-11-23T03:29:11.9967811Z [       OK ] MemDependency.BoundSubtractSymbolic (3 ms)
2022-11-23T03:29:11.9968344Z [ RUN      ] MemDependency.BoundSubtractMultiDim
2022-11-23T03:29:12.0003982Z [       OK ] MemDependency.BoundSubtractMultiDim (3 ms)
2022-11-23T03:29:12.0004537Z [ RUN      ] MemDependency.BoundSubtractMultiDimSymbolic
2022-11-23T03:29:12.0054067Z [       OK ] MemDependency.BoundSubtractMultiDimSymbolic (4 ms)
2022-11-23T03:29:12.0055312Z [ RUN      ] MemDependency.MemDependencyCheckerSimple
2022-11-23T03:29:12.0055870Z [       OK ] MemDependency.MemDependencyCheckerSimple (0 ms)
2022-11-23T03:29:12.0057077Z [ RUN      ] MemDependency.MemDependencyCheckerMultiStmt
2022-11-23T03:29:12.0057630Z [       OK ] MemDependency.MemDependencyCheckerMultiStmt (0 ms)
2022-11-23T03:29:12.0058176Z [ RUN      ] MemDependency.MemDependencyCheckerOverlap
2022-11-23T03:29:12.0058700Z [       OK ] MemDependency.MemDependencyCheckerOverlap (0 ms)
2022-11-23T03:29:12.0059191Z [ RUN      ] MemDependency.MemDependencyCheckerLoop
2022-11-23T03:29:12.0059703Z [       OK ] MemDependency.MemDependencyCheckerLoop (0 ms)
2022-11-23T03:29:12.0060221Z [ RUN      ] MemDependency.MemDependencyCheckerLoopReduce
2022-11-23T03:29:12.0063308Z [       OK ] MemDependency.MemDependencyCheckerLoopReduce (0 ms)
2022-11-23T03:29:12.0063886Z [ RUN      ] MemDependency.MemDependencyCheckerLoopReduceExpanded
2022-11-23T03:29:12.0067206Z [       OK ] MemDependency.MemDependencyCheckerLoopReduceExpanded (0 ms)
2022-11-23T03:29:12.0067810Z [ RUN      ] MemDependency.MemDependencyCheckerInputsOutputs
2022-11-23T03:29:12.0070941Z [       OK ] MemDependency.MemDependencyCheckerInputsOutputs (0 ms)
2022-11-23T03:29:12.0071890Z [ RUN      ] MemDependency.MemDependencyCheckerOutputDoesntDepend
2022-11-23T03:29:12.0072538Z [       OK ] MemDependency.MemDependencyCheckerOutputDoesntDepend (0 ms)
2022-11-23T03:29:12.0073115Z [ RUN      ] MemDependency.MemDependencyCheckerLoopBounds
2022-11-23T03:29:12.0089711Z [       OK ] MemDependency.MemDependencyCheckerLoopBounds (1 ms)
2022-11-23T03:29:12.0090306Z [ RUN      ] MemDependency.MemDependencyCheckerLoopBoundsIndexShift
2022-11-23T03:29:12.0132751Z [       OK ] MemDependency.MemDependencyCheckerLoopBoundsIndexShift (4 ms)
2022-11-23T03:29:12.0133463Z [ RUN      ] MemDependency.MemDependencyCheckerLoopSelfDependency
2022-11-23T03:29:12.0340871Z [       OK ] MemDependency.MemDependencyCheckerLoopSelfDependency (20 ms)
2022-11-23T03:29:12.0341549Z [ RUN      ] MemDependency.MemDependencyCheckerLoopDistinctStrides
2022-11-23T03:29:12.0353406Z [       OK ] MemDependency.MemDependencyCheckerLoopDistinctStrides (1 ms)
2022-11-23T03:29:12.0354042Z [ RUN      ] MemDependency.MemDependencyCheckerLoopBoundsCond
2022-11-23T03:29:12.0381019Z [       OK ] MemDependency.MemDependencyCheckerLoopBoundsCond (2 ms)
2022-11-23T03:29:12.0381618Z [ RUN      ] MemDependency.MemDependencyCheckerIfThenElse
2022-11-23T03:29:12.0397812Z [       OK ] MemDependency.MemDependencyCheckerIfThenElse (1 ms)
2022-11-23T03:29:12.0398399Z [ RUN      ] MemDependency.MemDependencyCheckerCutLoop
2022-11-23T03:29:12.0427599Z [       OK ] MemDependency.MemDependencyCheckerCutLoop (2 ms)
2022-11-23T03:29:12.0428223Z [ RUN      ] MemDependency.MemDependencyCheckerDynamicShapes
2022-11-23T03:29:12.0470083Z [       OK ] MemDependency.MemDependencyCheckerDynamicShapes (4 ms)
2022-11-23T03:29:12.0470696Z [ RUN      ] MemDependency.MemDependencyCheckerMultiDim
2022-11-23T03:29:12.0521111Z [       OK ] MemDependency.MemDependencyCheckerMultiDim (5 ms)
2022-11-23T03:29:12.0521795Z [ RUN      ] MemDependency.MemDependencyCheckerComputeAPI
2022-11-23T03:29:12.0536653Z [       OK ] MemDependency.MemDependencyCheckerComputeAPI (1 ms)
2022-11-23T03:29:12.0537602Z [ RUN      ] MemDependency.MemDependencyCheckerComputeInline
2022-11-23T03:29:12.0548900Z [       OK ] MemDependency.MemDependencyCheckerComputeInline (1 ms)
2022-11-23T03:29:12.0549483Z [ RUN      ] MemDependency.MemDependencyCheckerComputeSplit
2022-11-23T03:29:12.0584351Z [       OK ] MemDependency.MemDependencyCheckerComputeSplit (3 ms)
2022-11-23T03:29:12.0585447Z [ RUN      ] MemDependency.MemDependencyCheckerComputeReorder
2022-11-23T03:29:12.0604784Z [       OK ] MemDependency.MemDependencyCheckerComputeReorder (2 ms)
2022-11-23T03:29:12.0605412Z [ RUN      ] MemDependency.MemDependencyCheckerComputeReduce
2022-11-23T03:29:12.0621621Z [       OK ] MemDependency.MemDependencyCheckerComputeReduce (1 ms)
2022-11-23T03:29:12.0622245Z [ RUN      ] MemDependency.MemDependencyCheckerComputeGEMM
2022-11-23T03:29:12.0874927Z [       OK ] MemDependency.MemDependencyCheckerComputeGEMM (25 ms)
2022-11-23T03:29:12.0875531Z [----------] 31 tests from MemDependency (100 ms total)
2022-11-23T03:29:12.0875743Z 
2022-11-23T03:29:12.0875936Z [----------] 2 tests from Ops
2022-11-23T03:29:12.0876236Z [ RUN      ] Ops.Sum
2022-11-23T03:29:12.0941952Z [       OK ] Ops.Sum (6 ms)
2022-11-23T03:29:12.0942365Z [ RUN      ] Ops.ChannelsLastSum
2022-11-23T03:29:12.2573170Z [       OK ] Ops.ChannelsLastSum (162 ms)
2022-11-23T03:29:12.2574021Z [----------] 2 tests from Ops (169 ms total)
2022-11-23T03:29:12.2574395Z 
2022-11-23T03:29:12.2574792Z [----------] 10 tests from Quantization
2022-11-23T03:29:12.2575538Z [ RUN      ] Quantization.QuantDequantInt8
2022-11-23T03:29:12.2969114Z [       OK ] Quantization.QuantDequantInt8 (39 ms)
2022-11-23T03:29:12.2970137Z [ RUN      ] Quantization.QuantDequantUInt8
2022-11-23T03:29:12.3365146Z [       OK ] Quantization.QuantDequantUInt8 (39 ms)
2022-11-23T03:29:12.3366034Z [ RUN      ] Quantization.QuantDequantUInt8_NLC
2022-11-23T03:29:12.3775274Z [       OK ] Quantization.QuantDequantUInt8_NLC (41 ms)
2022-11-23T03:29:12.3777701Z [ RUN      ] Quantization.QuantAddDequantInt8
2022-11-23T03:29:12.4235270Z [       OK ] Quantization.QuantAddDequantInt8 (45 ms)
2022-11-23T03:29:12.4236225Z [ RUN      ] Quantization.QuantAddDequantUInt8
2022-11-23T03:29:12.4696753Z [       OK ] Quantization.QuantAddDequantUInt8 (45 ms)
2022-11-23T03:29:12.4697791Z [ RUN      ] Quantization.QuantSigmoidDequantUInt8
2022-11-23T03:29:12.5220577Z [       OK ] Quantization.QuantSigmoidDequantUInt8 (52 ms)
2022-11-23T03:29:12.5221589Z [ RUN      ] Quantization.QuantMulDequantUInt8
2022-11-23T03:29:12.5839282Z [       OK ] Quantization.QuantMulDequantUInt8 (61 ms)
2022-11-23T03:29:12.5840386Z [ RUN      ] Quantization.QuantUpsampleNearst2dDequantUInt8
2022-11-23T03:29:12.6550350Z [       OK ] Quantization.QuantUpsampleNearst2dDequantUInt8 (71 ms)
2022-11-23T03:29:12.6551332Z [ RUN      ] Quantization.UpsampleNearst2d
2022-11-23T03:29:12.7016702Z [       OK ] Quantization.UpsampleNearst2d (46 ms)
2022-11-23T03:29:12.7017665Z [ RUN      ] Quantization.QuantCatDequantUInt8
2022-11-23T03:29:12.7933956Z [       OK ] Quantization.QuantCatDequantUInt8 (91 ms)
2022-11-23T03:29:12.7934985Z [----------] 10 tests from Quantization (536 ms total)
2022-11-23T03:29:12.7935358Z 
2022-11-23T03:29:12.7935751Z [----------] 2 tests from BufLiveRange
2022-11-23T03:29:12.7936914Z [ RUN      ] BufLiveRange.SingleRangeLine
2022-11-23T03:29:12.7937582Z [       OK ] BufLiveRange.SingleRangeLine (0 ms)
2022-11-23T03:29:12.7938005Z [ RUN      ] BufLiveRange.MulRangeLine
2022-11-23T03:29:12.7938419Z [       OK ] BufLiveRange.MulRangeLine (0 ms)
2022-11-23T03:29:12.7938842Z [----------] 2 tests from BufLiveRange (0 ms total)
2022-11-23T03:29:12.7939053Z 
2022-11-23T03:29:12.7939265Z [----------] 6 tests from MemPlanning
2022-11-23T03:29:12.7939717Z [ RUN      ] MemPlanning.MemReuseWithTypeCast
2022-11-23T03:29:12.8891831Z [       OK ] MemPlanning.MemReuseWithTypeCast (95 ms)
2022-11-23T03:29:12.8892370Z [ RUN      ] MemPlanning.NoMemReuseForLargerType
2022-11-23T03:29:13.0018791Z [       OK ] MemPlanning.NoMemReuseForLargerType (112 ms)
2022-11-23T03:29:13.0019335Z [ RUN      ] MemPlanning.SameBufSizeMemReuse
2022-11-23T03:29:13.1309701Z [       OK ] MemPlanning.SameBufSizeMemReuse (129 ms)
2022-11-23T03:29:13.1310242Z [ RUN      ] MemPlanning.SameBufSizeMultiMemReuses
2022-11-23T03:29:13.2628346Z [       OK ] MemPlanning.SameBufSizeMultiMemReuses (131 ms)
2022-11-23T03:29:13.2629005Z [ RUN      ] MemPlanning.SameBufSizeMultiMemReusesOfOneBuf
2022-11-23T03:29:13.4174867Z [       OK ] MemPlanning.SameBufSizeMultiMemReusesOfOneBuf (154 ms)
2022-11-23T03:29:13.4175476Z [ RUN      ] MemPlanning.SmallerBufSizeNonMemReuse
2022-11-23T03:29:13.5453900Z [       OK ] MemPlanning.SmallerBufSizeNonMemReuse (127 ms)
2022-11-23T03:29:13.5454864Z [----------] 6 tests from MemPlanning (751 ms total)
2022-11-23T03:29:13.5455093Z 
2022-11-23T03:29:13.5455300Z [----------] 45 tests from Reductions
2022-11-23T03:29:13.5455725Z [ RUN      ] Reductions.ReduceSum0D_1
2022-11-23T03:29:13.5456478Z [       OK ] Reductions.ReduceSum0D_1 (0 ms)
2022-11-23T03:29:13.5456857Z [ RUN      ] Reductions.ReduceSum0D_2
2022-11-23T03:29:13.5457260Z [       OK ] Reductions.ReduceSum0D_2 (0 ms)
2022-11-23T03:29:13.5458099Z [ RUN      ] Reductions.ReduceSum1D
2022-11-23T03:29:13.5458536Z [       OK ] Reductions.ReduceSum1D (0 ms)
2022-11-23T03:29:13.5458921Z [ RUN      ] Reductions.ReduceSum2D
2022-11-23T03:29:13.5463501Z [       OK ] Reductions.ReduceSum2D (0 ms)
2022-11-23T03:29:13.5463897Z [ RUN      ] Reductions.ReduceSum3D
2022-11-23T03:29:13.5513930Z [       OK ] Reductions.ReduceSum3D (4 ms)
2022-11-23T03:29:13.5514394Z [ RUN      ] Reductions.ReduceSum10D
2022-11-23T03:29:14.5522174Z [       OK ] Reductions.ReduceSum10D (1000 ms)
2022-11-23T03:29:14.5522711Z [ RUN      ] Reductions.ReduceProduct
2022-11-23T03:29:14.5525829Z [       OK ] Reductions.ReduceProduct (0 ms)
2022-11-23T03:29:14.5526247Z [ RUN      ] Reductions.ReduceMax
2022-11-23T03:29:14.5533033Z [       OK ] Reductions.ReduceMax (0 ms)
2022-11-23T03:29:14.5533521Z [ RUN      ] Reductions.ReduceMinCustomInitializer
2022-11-23T03:29:14.5535733Z [       OK ] Reductions.ReduceMinCustomInitializer (0 ms)
2022-11-23T03:29:14.5537777Z [ RUN      ] Reductions.ReduceAnyAll
2022-11-23T03:29:14.5571521Z [       OK ] Reductions.ReduceAnyAll (3 ms)
2022-11-23T03:29:14.5571976Z [ RUN      ] Reductions.ReduceMatmul2D
2022-11-23T03:29:14.5584867Z [       OK ] Reductions.ReduceMatmul2D (1 ms)
2022-11-23T03:29:14.5585431Z [ RUN      ] Reductions.ReduceRfactorLike
2022-11-23T03:29:14.5602242Z [       OK ] Reductions.ReduceRfactorLike (1 ms)
2022-11-23T03:29:14.5602839Z [ RUN      ] Reductions.ReduceAsProducer
2022-11-23T03:29:14.5637965Z [       OK ] Reductions.ReduceAsProducer (3 ms)
2022-11-23T03:29:14.5638395Z [ RUN      ] Reductions.ReduceAsConsumer
2022-11-23T03:29:14.5691778Z [       OK ] Reductions.ReduceAsConsumer (5 ms)
2022-11-23T03:29:14.5692228Z [ RUN      ] Reductions.SplitReduceAxis
2022-11-23T03:29:14.5716525Z [       OK ] Reductions.SplitReduceAxis (2 ms)
2022-11-23T03:29:14.5716969Z [ RUN      ] Reductions.SplitNonReduceAxis
2022-11-23T03:29:14.5768120Z [       OK ] Reductions.SplitNonReduceAxis (4 ms)
2022-11-23T03:29:14.5768610Z [ RUN      ] Reductions.ReorderedReductionInitializer
2022-11-23T03:29:14.5828295Z [       OK ] Reductions.ReorderedReductionInitializer (5 ms)
2022-11-23T03:29:14.5828820Z [ RUN      ] Reductions.ReduceRfactor
2022-11-23T03:29:14.5845094Z [       OK ] Reductions.ReduceRfactor (1 ms)
2022-11-23T03:29:14.5845570Z [ RUN      ] Reductions.Reduce3DRfactorInner
2022-11-23T03:29:14.6038017Z [       OK ] Reductions.Reduce3DRfactorInner (19 ms)
2022-11-23T03:29:14.6038550Z [ RUN      ] Reductions.Reduce3DRfactorOuter
2022-11-23T03:29:14.6232603Z [       OK ] Reductions.Reduce3DRfactorOuter (19 ms)
2022-11-23T03:29:14.8812213Z [ RUN      ] Reductions.ReduceRepeatedInternalRfactor
2022-11-23T03:29:14.8812817Z [       OK ] Reductions.ReduceRepeatedInternalRfactor (257 ms)
2022-11-23T03:29:14.8813297Z [ RUN      ] Reductions.ReduceSplitTail
2022-11-23T03:29:14.9407985Z [       OK ] Reductions.ReduceSplitTail (59 ms)
2022-11-23T03:29:14.9408463Z [ RUN      ] Reductions.ReduceSplitNoTail
2022-11-23T03:29:15.0088615Z [       OK ] Reductions.ReduceSplitNoTail (68 ms)
2022-11-23T03:29:15.0089069Z [ RUN      ] Reductions.ReduceOverSplitTail
2022-11-23T03:29:15.0665766Z [       OK ] Reductions.ReduceOverSplitTail (57 ms)
2022-11-23T03:29:15.0666256Z [ RUN      ] Reductions.ReduceSplitMask
2022-11-23T03:29:15.1409449Z [       OK ] Reductions.ReduceSplitMask (74 ms)
2022-11-23T03:29:15.1409865Z [ RUN      ] Reductions.ReduceSplitNoMask
2022-11-23T03:29:15.2092345Z [       OK ] Reductions.ReduceSplitNoMask (68 ms)
2022-11-23T03:29:15.2092806Z [ RUN      ] Reductions.ReduceOverSplitMask
2022-11-23T03:29:15.2694776Z [       OK ] Reductions.ReduceOverSplitMask (60 ms)
2022-11-23T03:29:15.2695314Z [ RUN      ] Reductions.ReduceSplitRfactor
2022-11-23T03:29:15.2759391Z [       OK ] Reductions.ReduceSplitRfactor (6 ms)
2022-11-23T03:29:15.2759874Z [ RUN      ] Reductions.ReduceOverSplitRfactor
2022-11-23T03:29:15.2781617Z [       OK ] Reductions.ReduceOverSplitRfactor (2 ms)
2022-11-23T03:29:15.2782397Z [ RUN      ] Reductions.ReduceInlineReduction
2022-11-23T03:29:15.2782791Z [       OK ] Reductions.ReduceInlineReduction (0 ms)
2022-11-23T03:29:15.2783267Z [ RUN      ] Reductions.ReduceInlineConsumer
2022-11-23T03:29:15.2919490Z [       OK ] Reductions.ReduceInlineConsumer (13 ms)
2022-11-23T03:29:15.2919931Z [ RUN      ] Reductions.ReduceInlineReducerInternal
2022-11-23T03:29:15.3057553Z [       OK ] Reductions.ReduceInlineReducerInternal (13 ms)
2022-11-23T03:29:15.3058132Z [ RUN      ] Reductions.ReductionCacheAccessesOperatorAxis
2022-11-23T03:29:15.3131402Z [       OK ] Reductions.ReductionCacheAccessesOperatorAxis (7 ms)
2022-11-23T03:29:15.3132027Z [ RUN      ] Reductions.ReductionCacheAccessesOuterReduceAxis
2022-11-23T03:29:15.3200429Z [       OK ] Reductions.ReductionCacheAccessesOuterReduceAxis (6 ms)
2022-11-23T03:29:15.3200994Z [ RUN      ] Reductions.ReductionCacheAccessesInnerReduceAxis
2022-11-23T03:29:15.3269447Z [       OK ] Reductions.ReductionCacheAccessesInnerReduceAxis (6 ms)
2022-11-23T03:29:15.3270031Z [ RUN      ] Reductions.ReductionCacheBodyAccess
2022-11-23T03:29:15.3294654Z [       OK ] Reductions.ReductionCacheBodyAccess (2 ms)
2022-11-23T03:29:15.3295179Z [ RUN      ] Reductions.ReductionCacheConsumerAccess
2022-11-23T03:29:15.3324902Z [       OK ] Reductions.ReductionCacheConsumerAccess (2 ms)
2022-11-23T03:29:15.3325528Z [ RUN      ] Reductions.ReductionSplitCacheConsumerAccess
2022-11-23T03:29:15.3358845Z [       OK ] Reductions.ReductionSplitCacheConsumerAccess (3 ms)
2022-11-23T03:29:15.3359386Z [ RUN      ] Reductions.ReductionReorderCacheConsumerAccess
2022-11-23T03:29:15.3388372Z [       OK ] Reductions.ReductionReorderCacheConsumerAccess (2 ms)
2022-11-23T03:29:15.3650341Z [ RUN      ] Reductions.ReductionRfactorCacheTempOuter
2022-11-23T03:29:15.3650843Z [       OK ] Reductions.ReductionRfactorCacheTempOuter (26 ms)
2022-11-23T03:29:15.3651342Z [ RUN      ] Reductions.ReductionRfactorCacheTempInner
2022-11-23T03:29:15.3865433Z [       OK ] Reductions.ReductionRfactorCacheTempInner (21 ms)
2022-11-23T03:29:15.3865896Z [ RUN      ] Reductions.ReductionVectorize
2022-11-23T03:29:15.3882189Z [       OK ] Reductions.ReductionVectorize (1 ms)
2022-11-23T03:29:15.3882799Z [ RUN      ] Reductions.ReductionVectorizeInner
2022-11-23T03:29:15.3883236Z [       OK ] Reductions.ReductionVectorizeInner (0 ms)
2022-11-23T03:29:15.3883717Z [ RUN      ] Reductions.ReductionVectorizeRfactor
2022-11-23T03:29:15.3905803Z [       OK ] Reductions.ReductionVectorizeRfactor (2 ms)
2022-11-23T03:29:15.3906255Z [ RUN      ] Reductions.InitFunction
2022-11-23T03:29:15.3907272Z [       OK ] Reductions.InitFunction (0 ms)
2022-11-23T03:29:15.3907872Z [----------] 45 tests from Reductions (1845 ms total)
2022-11-23T03:29:15.3908104Z 
2022-11-23T03:29:15.3908246Z [----------] 69 tests from Registerizer
2022-11-23T03:29:15.3908669Z [ RUN      ] Registerizer.RegisterizerSimple
2022-11-23T03:29:15.3910844Z [       OK ] Registerizer.RegisterizerSimple (0 ms)
2022-11-23T03:29:15.3911271Z [ RUN      ] Registerizer.RegisterizerLoop
2022-11-23T03:29:15.3912517Z [       OK ] Registerizer.RegisterizerLoop (0 ms)
2022-11-23T03:29:15.3913014Z [ RUN      ] Registerizer.RegisterizerLoopFixedLoad
2022-11-23T03:29:15.3915225Z [       OK ] Registerizer.RegisterizerLoopFixedLoad (0 ms)
2022-11-23T03:29:15.3915784Z [ RUN      ] Registerizer.RegisterizerLoopInternal
2022-11-23T03:29:15.3917347Z [       OK ] Registerizer.RegisterizerLoopInternal (0 ms)
2022-11-23T03:29:15.3917897Z [ RUN      ] Registerizer.RegisterizerLoopInternalLoadOverlap
2022-11-23T03:29:15.3920828Z [       OK ] Registerizer.RegisterizerLoopInternalLoadOverlap (0 ms)
2022-11-23T03:29:15.3921567Z [ RUN      ] Registerizer.RegisterizerLoopInternalRepeated
2022-11-23T03:29:15.3926353Z [       OK ] Registerizer.RegisterizerLoopInternalRepeated (0 ms)
2022-11-23T03:29:15.3927267Z [ RUN      ] Registerizer.RegisterizerLoopInternalRepeatedOverlapLoopVar
2022-11-23T03:29:15.3932227Z [       OK ] Registerizer.RegisterizerLoopInternalRepeatedOverlapLoopVar (0 ms)
2022-11-23T03:29:15.3933104Z [ RUN      ] Registerizer.RegisterizerLoopInternalRepeatedOverlapOther
2022-11-23T03:29:15.3938072Z [       OK ] Registerizer.RegisterizerLoopInternalRepeatedOverlapOther (0 ms)
2022-11-23T03:29:15.3938871Z [ RUN      ] Registerizer.RegisterizerMultiVar
2022-11-23T03:29:15.3942634Z [       OK ] Registerizer.RegisterizerMultiVar (0 ms)
2022-11-23T03:29:15.3943365Z [ RUN      ] Registerizer.RegisterizerVariableLoad
2022-11-23T03:29:15.3946243Z [       OK ] Registerizer.RegisterizerVariableLoad (0 ms)
2022-11-23T03:29:15.3947074Z [ RUN      ] Registerizer.RegisterizerSymbolicIndices
2022-11-23T03:29:15.3948580Z [       OK ] Registerizer.RegisterizerSymbolicIndices (0 ms)
2022-11-23T03:29:15.3948993Z [ RUN      ] Registerizer.RegisterizerMultiLoop
2022-11-23T03:29:15.3952693Z [       OK ] Registerizer.RegisterizerMultiLoop (0 ms)
2022-11-23T03:29:15.3953436Z [ RUN      ] Registerizer.RegisterizerRepeated
2022-11-23T03:29:15.3957828Z [       OK ] Registerizer.RegisterizerRepeated (0 ms)
2022-11-23T03:29:15.3958566Z [ RUN      ] Registerizer.RegisterizerNoLoads
2022-11-23T03:29:15.3959858Z [       OK ] Registerizer.RegisterizerNoLoads (0 ms)
2022-11-23T03:29:15.3960351Z [ RUN      ] Registerizer.RegisterizerNoRepeatedStores
2022-11-23T03:29:15.3962797Z [       OK ] Registerizer.RegisterizerNoRepeatedStores (0 ms)
2022-11-23T03:29:15.3963608Z [ RUN      ] Registerizer.RegisterizerMultiVarOverlap
2022-11-23T03:29:15.3968578Z [       OK ] Registerizer.RegisterizerMultiVarOverlap (0 ms)
2022-11-23T03:29:15.3969591Z [ RUN      ] Registerizer.RegisterizerAllocs
2022-11-23T03:29:15.3973552Z [       OK ] Registerizer.RegisterizerAllocs (0 ms)
2022-11-23T03:29:15.3974328Z [ RUN      ] Registerizer.RegisterizerNoInitializer
2022-11-23T03:29:15.3975776Z [       OK ] Registerizer.RegisterizerNoInitializer (0 ms)
2022-11-23T03:29:15.3976908Z [ RUN      ] Registerizer.RegisterizerNoInitializerLoopVar
2022-11-23T03:29:15.3978419Z [       OK ] Registerizer.RegisterizerNoInitializerLoopVar (0 ms)
2022-11-23T03:29:15.3979025Z [ RUN      ] Registerizer.RegisterizerLoadThenStore
2022-11-23T03:29:15.3982387Z [       OK ] Registerizer.RegisterizerLoadThenStore (0 ms)
2022-11-23T03:29:15.3983240Z [ RUN      ] Registerizer.RegisterizerParallelized
2022-11-23T03:29:15.3984201Z [       OK ] Registerizer.RegisterizerParallelized (0 ms)
2022-11-23T03:29:15.3984710Z [ RUN      ] Registerizer.RegisterizerConditionAfter
2022-11-23T03:29:15.3987393Z [       OK ] Registerizer.RegisterizerConditionAfter (0 ms)
2022-11-23T03:29:15.3988091Z [ RUN      ] Registerizer.RegisterizerConditionBefore
2022-11-23T03:29:15.3990055Z [       OK ] Registerizer.RegisterizerConditionBefore (0 ms)
2022-11-23T03:29:15.3990760Z [ RUN      ] Registerizer.RegisterizerConditionInside
2022-11-23T03:29:15.3994081Z [       OK ] Registerizer.RegisterizerConditionInside (0 ms)
2022-11-23T03:29:15.3994728Z [ RUN      ] Registerizer.RegisterizerConditionInsideOverlap1
2022-11-23T03:29:15.3997986Z [       OK ] Registerizer.RegisterizerConditionInsideOverlap1 (0 ms)
2022-11-23T03:29:15.3998765Z [ RUN      ] Registerizer.RegisterizerConditionInsideOverlap2
2022-11-23T03:29:15.4003678Z [       OK ] Registerizer.RegisterizerConditionInsideOverlap2 (0 ms)
2022-11-23T03:29:15.4004426Z [ RUN      ] Registerizer.RegisterizerConditionHidden
2022-11-23T03:29:15.4005764Z [       OK ] Registerizer.RegisterizerConditionHidden (0 ms)
2022-11-23T03:29:15.4006333Z [ RUN      ] Registerizer.RegisterizerConditionUnhidden
2022-11-23T03:29:15.4009002Z [       OK ] Registerizer.RegisterizerConditionUnhidden (0 ms)
2022-11-23T03:29:15.4009783Z [ RUN      ] Registerizer.RegisterizerCondCondition
2022-11-23T03:29:15.4011880Z [       OK ] Registerizer.RegisterizerCondCondition (0 ms)
2022-11-23T03:29:15.4012682Z [ RUN      ] Registerizer.RegisterizerCondConditionUnhidden
2022-11-23T03:29:15.4015171Z [       OK ] Registerizer.RegisterizerCondConditionUnhidden (0 ms)
2022-11-23T03:29:15.4016010Z [ RUN      ] Registerizer.RegisterizerIfThenElseHidden
2022-11-23T03:29:15.4022328Z [       OK ] Registerizer.RegisterizerIfThenElseHidden (0 ms)
2022-11-23T03:29:15.4023125Z [ RUN      ] Registerizer.RegisterizerIfThenElseUnhidden
2022-11-23T03:29:15.4029357Z [       OK ] Registerizer.RegisterizerIfThenElseUnhidden (0 ms)
2022-11-23T03:29:15.4030093Z [ RUN      ] Registerizer.RegisterizerIfThenElseNested
2022-11-23T03:29:15.4032450Z [       OK ] Registerizer.RegisterizerIfThenElseNested (0 ms)
2022-11-23T03:29:15.4033225Z [ RUN      ] Registerizer.RegisterizerIfThenElseInternal
2022-11-23T03:29:15.4036393Z [       OK ] Registerizer.RegisterizerIfThenElseInternal (0 ms)
2022-11-23T03:29:15.4037225Z [ RUN      ] Registerizer.RegisterizerIfThenElseCondition
2022-11-23T03:29:15.4038480Z [       OK ] Registerizer.RegisterizerIfThenElseCondition (0 ms)
2022-11-23T03:29:15.4039134Z [ RUN      ] Registerizer.RegisterizerIfThenElseConditionUnhidden
2022-11-23T03:29:15.4041854Z [       OK ] Registerizer.RegisterizerIfThenElseConditionUnhidden (0 ms)
2022-11-23T03:29:15.4042638Z [ RUN      ] Registerizer.RegisterizerConditionBranchOnly
2022-11-23T03:29:15.4061299Z [       OK ] Registerizer.RegisterizerConditionBranchOnly (1 ms)
2022-11-23T03:29:15.4062276Z [ RUN      ] Registerizer.RegisterizerCondIfThenElse
2022-11-23T03:29:15.4063151Z [       OK ] Registerizer.RegisterizerCondIfThenElse (0 ms)
2022-11-23T03:29:15.4063849Z [ RUN      ] Registerizer.RegisterizerIfThenElseLoop
2022-11-23T03:29:15.4065679Z [       OK ] Registerizer.RegisterizerIfThenElseLoop (0 ms)
2022-11-23T03:29:15.4066488Z [ RUN      ] Registerizer.RegisterizerIfThenElseLoopCut
2022-11-23T03:29:15.4068601Z [       OK ] Registerizer.RegisterizerIfThenElseLoopCut (0 ms)
2022-11-23T03:29:15.4069387Z [ RUN      ] Registerizer.RegisterizerPartialAfter
2022-11-23T03:29:15.4072956Z [       OK ] Registerizer.RegisterizerPartialAfter (0 ms)
2022-11-23T03:29:15.4073726Z [ RUN      ] Registerizer.RegisterizerPartialBefore
2022-11-23T03:29:15.4077436Z [       OK ] Registerizer.RegisterizerPartialBefore (0 ms)
2022-11-23T03:29:15.4078210Z [ RUN      ] Registerizer.RegisterizerPartialInside
2022-11-23T03:29:15.4083048Z [       OK ] Registerizer.RegisterizerPartialInside (0 ms)
2022-11-23T03:29:15.4083818Z [ RUN      ] Registerizer.RegisterizerPartialCondition
2022-11-23T03:29:15.4089834Z [       OK ] Registerizer.RegisterizerPartialCondition (0 ms)
2022-11-23T03:29:15.4090974Z [ RUN      ] Registerizer.RegisterizerPartialConditionInternalCut
2022-11-23T03:29:15.4092182Z [       OK ] Registerizer.RegisterizerPartialConditionInternalCut (0 ms)
2022-11-23T03:29:15.4092960Z [ RUN      ] Registerizer.RegisterizerPartialConditionInternalStart
2022-11-23T03:29:15.4094397Z [       OK ] Registerizer.RegisterizerPartialConditionInternalStart (0 ms)
2022-11-23T03:29:15.4095071Z [ RUN      ] Registerizer.RegisterizerPartialOverlapsTwo
2022-11-23T03:29:15.4099619Z [       OK ] Registerizer.RegisterizerPartialOverlapsTwo (0 ms)
2022-11-23T03:29:15.4100406Z [ RUN      ] Registerizer.RegisterizerNestedBlocks
2022-11-23T03:29:15.4103348Z [       OK ] Registerizer.RegisterizerNestedBlocks (0 ms)
2022-11-23T03:29:15.4104060Z [ RUN      ] Registerizer.RegisterizerNestedConditions
2022-11-23T03:29:15.4105579Z [       OK ] Registerizer.RegisterizerNestedConditions (0 ms)
2022-11-23T03:29:15.4106125Z [ RUN      ] Registerizer.RegisterizerNestedConditionsUnhidden
2022-11-23T03:29:15.4108974Z [       OK ] Registerizer.RegisterizerNestedConditionsUnhidden (0 ms)
2022-11-23T03:29:15.4109789Z [ RUN      ] Registerizer.RegisterizerNestedConditionsHiddenFirst
2022-11-23T03:29:15.4113223Z [       OK ] Registerizer.RegisterizerNestedConditionsHiddenFirst (0 ms)
2022-11-23T03:29:15.4114067Z [ RUN      ] Registerizer.RegisterizerNestedConditionsHiddenSecond
2022-11-23T03:29:15.4117573Z [       OK ] Registerizer.RegisterizerNestedConditionsHiddenSecond (0 ms)
2022-11-23T03:29:15.4118401Z [ RUN      ] Registerizer.RegisterizerNestedConditionsCut
2022-11-23T03:29:15.4119858Z [       OK ] Registerizer.RegisterizerNestedConditionsCut (0 ms)
2022-11-23T03:29:15.4120484Z [ RUN      ] Registerizer.RegisterizerNestedConditionLoopHidden
2022-11-23T03:29:15.4123991Z [       OK ] Registerizer.RegisterizerNestedConditionLoopHidden (0 ms)
2022-11-23T03:29:15.4124824Z [ RUN      ] Registerizer.RegisterizerNestedConditionThreeDeep
2022-11-23T03:29:15.4133340Z [       OK ] Registerizer.RegisterizerNestedConditionThreeDeep (0 ms)
2022-11-23T03:29:15.4134068Z [ RUN      ] Registerizer.RegisterizerNestedLoopSimple
2022-11-23T03:29:15.4136246Z [       OK ] Registerizer.RegisterizerNestedLoopSimple (0 ms)
2022-11-23T03:29:15.4137229Z [ RUN      ] Registerizer.RegisterizerHiddenAccessYes
2022-11-23T03:29:15.4141656Z [       OK ] Registerizer.RegisterizerHiddenAccessYes (0 ms)
2022-11-23T03:29:15.4142372Z [ RUN      ] Registerizer.RegisterizerHiddenAccessNo
2022-11-23T03:29:15.4145696Z [       OK ] Registerizer.RegisterizerHiddenAccessNo (0 ms)
2022-11-23T03:29:15.4146437Z [ RUN      ] Registerizer.RegisterizerHiddenAccessMultiLoop
2022-11-23T03:29:15.4150982Z [       OK ] Registerizer.RegisterizerHiddenAccessMultiLoop (0 ms)
2022-11-23T03:29:15.4151751Z [ RUN      ] Registerizer.RegisterizerTwoConditionalLoops
2022-11-23T03:29:15.4154934Z [       OK ] Registerizer.RegisterizerTwoConditionalLoops (0 ms)
2022-11-23T03:29:15.4155702Z [ RUN      ] Registerizer.RegisterizerTwoConditionalLoopsCut
2022-11-23T03:29:15.4159544Z [       OK ] Registerizer.RegisterizerTwoConditionalLoopsCut (0 ms)
2022-11-23T03:29:15.4160297Z [ RUN      ] Registerizer.RegisterizerLoopLetVar
2022-11-23T03:29:15.4162335Z [       OK ] Registerizer.RegisterizerLoopLetVar (0 ms)
2022-11-23T03:29:15.4163150Z [ RUN      ] Registerizer.RegisterizerLoopLetVarOuter
2022-11-23T03:29:15.4164436Z [       OK ] Registerizer.RegisterizerLoopLetVarOuter (0 ms)
2022-11-23T03:29:15.4164919Z [ RUN      ] Registerizer.RegisterizerMultiDim
2022-11-23T03:29:15.4167646Z [       OK ] Registerizer.RegisterizerMultiDim (0 ms)
2022-11-23T03:29:15.4168376Z [ RUN      ] Registerizer.RegisterizerMultiDimPartial
2022-11-23T03:29:15.4171696Z [       OK ] Registerizer.RegisterizerMultiDimPartial (0 ms)
2022-11-23T03:29:15.4172317Z [ RUN      ] Registerizer.RegisterizerMultiDimOverlap
2022-11-23T03:29:15.4175408Z [       OK ] Registerizer.RegisterizerMultiDimOverlap (0 ms)
2022-11-23T03:29:15.4176440Z [ RUN      ] Registerizer.RegisterizerMultiDimPartialOverlap
2022-11-23T03:29:15.4180242Z [       OK ] Registerizer.RegisterizerMultiDimPartialOverlap (0 ms)
2022-11-23T03:29:15.4181003Z [ RUN      ] Registerizer.RegisterizerMultiDim3DReduction1
2022-11-23T03:29:15.4185201Z [       OK ] Registerizer.RegisterizerMultiDim3DReduction1 (0 ms)
2022-11-23T03:29:15.4185975Z [ RUN      ] Registerizer.RegisterizerMultiDim3DReduction2
2022-11-23T03:29:15.4191117Z [       OK ] Registerizer.RegisterizerMultiDim3DReduction2 (0 ms)
2022-11-23T03:29:15.4192314Z [----------] 69 tests from Registerizer (28 ms total)
2022-11-23T03:29:15.4192757Z 
2022-11-23T03:29:15.4193218Z [----------] 92 tests from Simplify
2022-11-23T03:29:15.4193898Z [ RUN      ] Simplify.ConstantFoldSimple
2022-11-23T03:29:15.4194904Z [       OK ] Simplify.ConstantFoldSimple (0 ms)
2022-11-23T03:29:15.4195646Z [ RUN      ] Simplify.ConstantFoldTwoLayer
2022-11-23T03:29:15.4196617Z [       OK ] Simplify.ConstantFoldTwoLayer (0 ms)
2022-11-23T03:29:15.4197120Z [ RUN      ] Simplify.ConstantFoldShifts
2022-11-23T03:29:15.4197540Z [       OK ] Simplify.ConstantFoldShifts (0 ms)
2022-11-23T03:29:15.4198066Z [ RUN      ] Simplify.ConstantFoldBitwise
2022-11-23T03:29:15.4198930Z [       OK ] Simplify.ConstantFoldBitwise (0 ms)
2022-11-23T03:29:15.4199886Z [ RUN      ] Simplify.ConstantFoldMultiOp
2022-11-23T03:29:15.4200491Z [       OK ] Simplify.ConstantFoldMultiOp (0 ms)
2022-11-23T03:29:15.4200890Z [ RUN      ] Simplify.ConstantFoldMinMax
2022-11-23T03:29:15.4201314Z [       OK ] Simplify.ConstantFoldMinMax (0 ms)
2022-11-23T03:29:15.4201751Z [ RUN      ] Simplify.ConstantFoldIntrinsics
2022-11-23T03:29:15.4202402Z [       OK ] Simplify.ConstantFoldIntrinsics (0 ms)
2022-11-23T03:29:15.4203382Z [ RUN      ] Simplify.ConstantFoldCastToBool
2022-11-23T03:29:15.4204014Z [       OK ] Simplify.ConstantFoldCastToBool (0 ms)
2022-11-23T03:29:15.4204425Z [ RUN      ] Simplify.ConstantFoldWithVar
2022-11-23T03:29:15.4204858Z [       OK ] Simplify.ConstantFoldWithVar (0 ms)
2022-11-23T03:29:15.4205384Z [ RUN      ] Simplify.ConditionalSelectFoldSimple
2022-11-23T03:29:15.4207062Z [       OK ] Simplify.ConditionalSelectFoldSimple (0 ms)
2022-11-23T03:29:15.4207838Z [ RUN      ] Simplify.ConditionalSelectFoldTwoLayer
2022-11-23T03:29:15.4208322Z [       OK ] Simplify.ConditionalSelectFoldTwoLayer (0 ms)
2022-11-23T03:29:15.4209179Z [ RUN      ] Simplify.ConditionalSelectFoldWithVar
2022-11-23T03:29:15.4210163Z [       OK ] Simplify.ConditionalSelectFoldWithVar (0 ms)
2022-11-23T03:29:15.4211103Z [ RUN      ] Simplify.UnFoldableExpr
2022-11-23T03:29:15.4211977Z [       OK ] Simplify.UnFoldableExpr (0 ms)
2022-11-23T03:29:15.4212385Z [ RUN      ] Simplify.HashSimple
2022-11-23T03:29:15.4212879Z [       OK ] Simplify.HashSimple (0 ms)
2022-11-23T03:29:15.4213689Z [ RUN      ] Simplify.HashEquivalence
2022-11-23T03:29:15.4214389Z [       OK ] Simplify.HashEquivalence (0 ms)
2022-11-23T03:29:15.4214811Z [ RUN      ] Simplify.HashEquivalenceRand
2022-11-23T03:29:15.4215403Z [       OK ] Simplify.HashEquivalenceRand (0 ms)
2022-11-23T03:29:15.4216881Z [ RUN      ] Simplify.HashEquivalenceAfterFolding
2022-11-23T03:29:15.4217744Z [       OK ] Simplify.HashEquivalenceAfterFolding (0 ms)
2022-11-23T03:29:15.4218511Z [ RUN      ] Simplify.HashDifferenceTypes
2022-11-23T03:29:15.4219233Z [       OK ] Simplify.HashDifferenceTypes (0 ms)
2022-11-23T03:29:15.4219988Z [ RUN      ] Simplify.HashLargeExpression
2022-11-23T03:29:15.4220962Z [       OK ] Simplify.HashLargeExpression (0 ms)
2022-11-23T03:29:15.4221613Z [ RUN      ] Simplify.HashForLoopOptions
2022-11-23T03:29:15.4222041Z [       OK ] Simplify.HashForLoopOptions (0 ms)
2022-11-23T03:29:15.4222441Z [ RUN      ] Simplify.SimplifyAdd
2022-11-23T03:29:15.4222848Z [       OK ] Simplify.SimplifyAdd (0 ms)
2022-11-23T03:29:15.4223229Z [ RUN      ] Simplify.SimplifySub
2022-11-23T03:29:15.4223752Z [       OK ] Simplify.SimplifySub (0 ms)
2022-11-23T03:29:15.4224604Z [ RUN      ] Simplify.SimplifyMultiLayer
2022-11-23T03:29:15.4225206Z [       OK ] Simplify.SimplifyMultiLayer (0 ms)
2022-11-23T03:29:15.4225620Z [ RUN      ] Simplify.SimplifyMultiTerm
2022-11-23T03:29:15.4226019Z [       OK ] Simplify.SimplifyMultiTerm (0 ms)
2022-11-23T03:29:15.4226423Z [ RUN      ] Simplify.SimplifyCasts
2022-11-23T03:29:15.4226821Z [       OK ] Simplify.SimplifyCasts (0 ms)
2022-11-23T03:29:15.4227245Z [ RUN      ] Simplify.SimplifyEliminatesNoOps
2022-11-23T03:29:15.4227701Z [       OK ] Simplify.SimplifyEliminatesNoOps (0 ms)
2022-11-23T03:29:15.4228140Z [ RUN      ] Simplify.SimplifyMultiVar
2022-11-23T03:29:15.4228526Z [       OK ] Simplify.SimplifyMultiVar (0 ms)
2022-11-23T03:29:15.4229063Z [ RUN      ] Simplify.SimplifyEliminatesVar
2022-11-23T03:29:15.4230029Z [       OK ] Simplify.SimplifyEliminatesVar (0 ms)
2022-11-23T03:29:15.4230715Z [ RUN      ] Simplify.SimplifyAdds
2022-11-23T03:29:15.4231092Z [       OK ] Simplify.SimplifyAdds (0 ms)
2022-11-23T03:29:15.4231472Z [ RUN      ] Simplify.SimplifyMuls
2022-11-23T03:29:15.4231869Z [       OK ] Simplify.SimplifyMuls (0 ms)
2022-11-23T03:29:15.4232237Z [ RUN      ] Simplify.SimplifySubs
2022-11-23T03:29:15.4240115Z [       OK ] Simplify.SimplifySubs (0 ms)
2022-11-23T03:29:15.4240950Z [ RUN      ] Simplify.SimplifyDiv
2022-11-23T03:29:15.4241349Z [       OK ] Simplify.SimplifyDiv (0 ms)
2022-11-23T03:29:15.4242113Z [ RUN      ] Simplify.SimplifyDivWithLoopContext0
2022-11-23T03:29:15.4243146Z [       OK ] Simplify.SimplifyDivWithLoopContext0 (0 ms)
2022-11-23T03:29:15.4243652Z [ RUN      ] Simplify.SimplifyDivWithLoopContext1
2022-11-23T03:29:15.4245260Z [       OK ] Simplify.SimplifyDivWithLoopContext1 (0 ms)
2022-11-23T03:29:15.4246054Z [ RUN      ] Simplify.SimplifyDivWithLoopContext2
2022-11-23T03:29:15.4248188Z [       OK ] Simplify.SimplifyDivWithLoopContext2 (0 ms)
2022-11-23T03:29:15.4248683Z [ RUN      ] Simplify.SimplifyDivWithLoopContext3
2022-11-23T03:29:15.4249611Z [       OK ] Simplify.SimplifyDivWithLoopContext3 (0 ms)
2022-11-23T03:29:15.4250114Z [ RUN      ] Simplify.SimplifyDivWithLoopContext4
2022-11-23T03:29:15.4253152Z [       OK ] Simplify.SimplifyDivWithLoopContext4 (0 ms)
2022-11-23T03:29:15.4253633Z [ RUN      ] Simplify.SimplifyDivWithLoopContext5
2022-11-23T03:29:15.4257158Z [       OK ] Simplify.SimplifyDivWithLoopContext5 (0 ms)
2022-11-23T03:29:15.4257618Z [ RUN      ] Simplify.SimplifyDivWithLoopContext6
2022-11-23T03:29:15.4262716Z [       OK ] Simplify.SimplifyDivWithLoopContext6 (0 ms)
2022-11-23T03:29:15.4263596Z [ RUN      ] Simplify.SimplifyDivWithLoopContext7
2022-11-23T03:29:15.4264291Z [       OK ] Simplify.SimplifyDivWithLoopContext7 (0 ms)
2022-11-23T03:29:15.4264829Z [ RUN      ] Simplify.SimplifyModWithLoopContext0
2022-11-23T03:29:15.4265907Z [       OK ] Simplify.SimplifyModWithLoopContext0 (0 ms)
2022-11-23T03:29:15.4266377Z [ RUN      ] Simplify.SimplifyModWithLoopContext1
2022-11-23T03:29:15.4269249Z [       OK ] Simplify.SimplifyModWithLoopContext1 (0 ms)
2022-11-23T03:29:15.4269704Z [ RUN      ] Simplify.SimplifyModWithLoopContext2
2022-11-23T03:29:15.4271647Z [       OK ] Simplify.SimplifyModWithLoopContext2 (0 ms)
2022-11-23T03:29:15.4272334Z [ RUN      ] Simplify.SimplifyModWithLoopContext3
2022-11-23T03:29:15.4273360Z [       OK ] Simplify.SimplifyModWithLoopContext3 (0 ms)
2022-11-23T03:29:15.4273881Z [ RUN      ] Simplify.SimplifyModWithLoopContext4
2022-11-23T03:29:15.4276550Z [       OK ] Simplify.SimplifyModWithLoopContext4 (0 ms)
2022-11-23T03:29:15.4277063Z [ RUN      ] Simplify.SimplifyModWithLoopContext5
2022-11-23T03:29:15.4280584Z [       OK ] Simplify.SimplifyModWithLoopContext5 (0 ms)
2022-11-23T03:29:15.4281063Z [ RUN      ] Simplify.SimplifyModWithLoopContext6
2022-11-23T03:29:15.4285362Z [       OK ] Simplify.SimplifyModWithLoopContext6 (0 ms)
2022-11-23T03:29:15.4285879Z [ RUN      ] Simplify.SimplifyModWithLoopContext7
2022-11-23T03:29:15.4286796Z [       OK ] Simplify.SimplifyModWithLoopContext7 (0 ms)
2022-11-23T03:29:15.4287217Z [ RUN      ] Simplify.SimplifyMod
2022-11-23T03:29:15.4290697Z [       OK ] Simplify.SimplifyMod (0 ms)
2022-11-23T03:29:15.4291093Z [ RUN      ] Simplify.SimplifyMultiOp
2022-11-23T03:29:15.4294191Z [       OK ] Simplify.SimplifyMultiOp (0 ms)
2022-11-23T03:29:15.4294599Z [ RUN      ] Simplify.SimplifyManyOps
2022-11-23T03:29:15.4298752Z [       OK ] Simplify.SimplifyManyOps (0 ms)
2022-11-23T03:29:15.4299211Z [ RUN      ] Simplify.SimplifyFactorization
2022-11-23T03:29:15.4305691Z [       OK ] Simplify.SimplifyFactorization (0 ms)
2022-11-23T03:29:15.4306455Z [ RUN      ] Simplify.SimplifyFactorizeUneven
2022-11-23T03:29:15.4307810Z [       OK ] Simplify.SimplifyFactorizeUneven (0 ms)
2022-11-23T03:29:15.4308540Z [ RUN      ] Simplify.SimplifyDeeperTerms
2022-11-23T03:29:15.4309291Z [       OK ] Simplify.SimplifyDeeperTerms (0 ms)
2022-11-23T03:29:15.4309964Z [ RUN      ] Simplify.SimplifyDeeperDifference
2022-11-23T03:29:15.4311091Z [       OK ] Simplify.SimplifyDeeperDifference (0 ms)
2022-11-23T03:29:15.4329516Z [ RUN      ] Simplify.SimplifyFoldComplexDifference
2022-11-23T03:29:15.4330360Z [       OK ] Simplify.SimplifyFoldComplexDifference (0 ms)
2022-11-23T03:29:15.4330843Z [ RUN      ] Simplify.SimplifyIfComponents
2022-11-23T03:29:15.4331264Z [       OK ] Simplify.SimplifyIfComponents (0 ms)
2022-11-23T03:29:15.4332107Z [ RUN      ] Simplify.SimplifyOpaqueTerms
2022-11-23T03:29:15.4332554Z [       OK ] Simplify.SimplifyOpaqueTerms (0 ms)
2022-11-23T03:29:15.4332977Z [ RUN      ] Simplify.SimplifySymbolicMinMax
2022-11-23T03:29:15.4333457Z [       OK ] Simplify.SimplifySymbolicMinMax (0 ms)
2022-11-23T03:29:15.4333911Z [ RUN      ] Simplify.SimplifyNestedMax
2022-11-23T03:29:15.4340434Z [       OK ] Simplify.SimplifyNestedMax (1 ms)
2022-11-23T03:29:15.4340856Z [ RUN      ] Simplify.SimplifyNestedMin
2022-11-23T03:29:15.4358681Z [       OK ] Simplify.SimplifyNestedMin (1 ms)
2022-11-23T03:29:15.4359163Z [ RUN      ] Simplify.SimplifyWontReorderFloat
2022-11-23T03:29:15.4361310Z [       OK ] Simplify.SimplifyWontReorderFloat (0 ms)
2022-11-23T03:29:15.4361771Z [ RUN      ] Simplify.SimplifyRoundModPattern
2022-11-23T03:29:15.4375339Z [       OK ] Simplify.SimplifyRoundModPattern (1 ms)
2022-11-23T03:29:15.4375924Z [ RUN      ] Simplify.SimplifyRoundModPatternFactorization
2022-11-23T03:29:15.4382297Z [       OK ] Simplify.SimplifyRoundModPatternFactorization (0 ms)
2022-11-23T03:29:15.4382871Z [ RUN      ] Simplify.SimplifyRoundModPatternMultivar
2022-11-23T03:29:15.4388433Z [       OK ] Simplify.SimplifyRoundModPatternMultivar (0 ms)
2022-11-23T03:29:15.4389069Z [ RUN      ] Simplify.SimplifyModRoundModPattern
2022-11-23T03:29:15.4395527Z [       OK ] Simplify.SimplifyModRoundModPattern (0 ms)
2022-11-23T03:29:15.4396090Z [ RUN      ] Simplify.SimplifyModRoundModPatternFactorization
2022-11-23T03:29:15.4407255Z [       OK ] Simplify.SimplifyModRoundModPatternFactorization (1 ms)
2022-11-23T03:29:15.4407822Z [ RUN      ] Simplify.SimplifyModRoundModPatternMultivar
2022-11-23T03:29:15.4430521Z [       OK ] Simplify.SimplifyModRoundModPatternMultivar (2 ms)
2022-11-23T03:29:15.4431202Z [ RUN      ] Simplify.SimplifyDivisionScalarFactorization
2022-11-23T03:29:15.4431811Z [       OK ] Simplify.SimplifyDivisionScalarFactorization (0 ms)
2022-11-23T03:29:15.4432718Z [ RUN      ] Simplify.SimplifyConstantBranches
2022-11-23T03:29:15.4433181Z [       OK ] Simplify.SimplifyConstantBranches (0 ms)
2022-11-23T03:29:15.4433643Z [ RUN      ] Simplify.SimplifyConstantCond
2022-11-23T03:29:15.4434900Z [       OK ] Simplify.SimplifyConstantCond (0 ms)
2022-11-23T03:29:15.4435452Z [ RUN      ] Simplify.SimplifyEliminateEmptyCond
2022-11-23T03:29:15.4435951Z [       OK ] Simplify.SimplifyEliminateEmptyCond (0 ms)
2022-11-23T03:29:15.4436425Z [ RUN      ] Simplify.SimplifyConstantComparisons
2022-11-23T03:29:15.4440766Z [       OK ] Simplify.SimplifyConstantComparisons (0 ms)
2022-11-23T03:29:15.4441573Z [ RUN      ] Simplify.SimplifySymbolicComparisons
2022-11-23T03:29:15.4452137Z [       OK ] Simplify.SimplifySymbolicComparisons (1 ms)
2022-11-23T03:29:15.4452889Z [ RUN      ] Simplify.SimplifyEliminateZeroLengthFor
2022-11-23T03:29:15.4453454Z [       OK ] Simplify.SimplifyEliminateZeroLengthFor (0 ms)
2022-11-23T03:29:15.4454137Z [ RUN      ] Simplify.SimplifyOneLoopFor
2022-11-23T03:29:15.4455201Z [       OK ] Simplify.SimplifyOneLoopFor (0 ms)
2022-11-23T03:29:15.4455790Z [ RUN      ] Simplify.SimplifyForWontLoseLoopOptions
2022-11-23T03:29:15.4456895Z [       OK ] Simplify.SimplifyForWontLoseLoopOptions (0 ms)
2022-11-23T03:29:15.4457461Z [ RUN      ] Simplify.SimplifyMultilevelFor
2022-11-23T03:29:15.4458295Z [       OK ] Simplify.SimplifyMultilevelFor (0 ms)
2022-11-23T03:29:15.4458937Z [ RUN      ] Simplify.SimplifyForCleansUp
2022-11-23T03:29:15.4463501Z [       OK ] Simplify.SimplifyForCleansUp (0 ms)
2022-11-23T03:29:15.4464220Z [ RUN      ] Simplify.SimplifyEliminateEmptyFor
2022-11-23T03:29:15.4465673Z [       OK ] Simplify.SimplifyEliminateEmptyFor (0 ms)
2022-11-23T03:29:15.4466194Z [ RUN      ] Simplify.SimplifyFlattenBlock
2022-11-23T03:29:15.4466911Z [       OK ] Simplify.SimplifyFlattenBlock (0 ms)
2022-11-23T03:29:15.4467343Z [ RUN      ] Simplify.SimplifyEliminateZeroLengthAlloc
2022-11-23T03:29:15.4468428Z [       OK ] Simplify.SimplifyEliminateZeroLengthAlloc (0 ms)
2022-11-23T03:29:15.4468933Z [ RUN      ] Simplify.DontSimplifyRand
2022-11-23T03:29:15.4469608Z [       OK ] Simplify.DontSimplifyRand (0 ms)
2022-11-23T03:29:15.4470027Z [ RUN      ] Simplify.SimplifyReorderForCond
2022-11-23T03:29:15.4477524Z [       OK ] Simplify.SimplifyReorderForCond (0 ms)
2022-11-23T03:29:15.4478256Z [ RUN      ] Simplify.SimplifyFuseConditions
2022-11-23T03:29:15.4487050Z [       OK ] Simplify.SimplifyFuseConditions (0 ms)
2022-11-23T03:29:15.4487877Z [ RUN      ] Simplify.SimplifySyncThreads
2022-11-23T03:29:15.4488489Z [       OK ] Simplify.SimplifySyncThreads (0 ms)
2022-11-23T03:29:15.4488947Z [ RUN      ] Simplify.SimplifyRampSubBroadcast
2022-11-23T03:29:15.4489719Z [       OK ] Simplify.SimplifyRampSubBroadcast (0 ms)
2022-11-23T03:29:15.4490755Z [ RUN      ] Simplify.SimplifyBroadcastTermExpander
2022-11-23T03:29:15.4491481Z [       OK ] Simplify.SimplifyBroadcastTermExpander (0 ms)
2022-11-23T03:29:15.4491992Z [ RUN      ] Simplify.CompareSelectLoopBounds
2022-11-23T03:29:15.4632275Z [       OK ] Simplify.CompareSelectLoopBounds (13 ms)
2022-11-23T03:29:15.4633112Z [ RUN      ] Simplify.CompareSelectCondAlwaysInLoopBounds
2022-11-23T03:29:15.4633693Z [       OK ] Simplify.CompareSelectCondAlwaysInLoopBounds (0 ms)
2022-11-23T03:29:15.4634454Z [ RUN      ] Simplify.IfThenCondAlwaysInLoopBounds
2022-11-23T03:29:15.4635010Z [       OK ] Simplify.IfThenCondAlwaysInLoopBounds (0 ms)
2022-11-23T03:29:15.4635732Z [ RUN      ] Simplify.MultiClauseCondAlwaysInLoopBounds
2022-11-23T03:29:15.4636349Z [       OK ] Simplify.MultiClauseCondAlwaysInLoopBounds (0 ms)
2022-11-23T03:29:15.4636931Z [----------] 92 tests from Simplify (44 ms total)
2022-11-23T03:29:15.4637274Z 
2022-11-23T03:29:15.4637526Z [----------] 12 tests from TEFuserPass
2022-11-23T03:29:15.4637926Z [ RUN      ] TEFuserPass.FuserPass_1
2022-11-23T03:29:15.4647503Z [       OK ] TEFuserPass.FuserPass_1 (1 ms)
2022-11-23T03:29:15.4647941Z [ RUN      ] TEFuserPass.FuserPass_2
2022-11-23T03:29:15.4653013Z [       OK ] TEFuserPass.FuserPass_2 (0 ms)
2022-11-23T03:29:15.4653605Z [ RUN      ] TEFuserPass.FuserPass_3
2022-11-23T03:29:15.4657026Z [       OK ] TEFuserPass.FuserPass_3 (0 ms)
2022-11-23T03:29:15.4657648Z [ RUN      ] TEFuserPass.FuserPass_0DimInput
2022-11-23T03:29:15.4661364Z [       OK ] TEFuserPass.FuserPass_0DimInput (0 ms)
2022-11-23T03:29:15.4662050Z [ RUN      ] TEFuserPass.FuserPass_UnfusibleDevice
2022-11-23T03:29:15.4662511Z [       OK ] TEFuserPass.FuserPass_UnfusibleDevice (0 ms)
2022-11-23T03:29:15.4663232Z [ RUN      ] TEFuserPass.FuserPass_UnknownShapes
2022-11-23T03:29:15.4664073Z [       OK ] TEFuserPass.FuserPass_UnknownShapes (0 ms)
2022-11-23T03:29:15.4664772Z [ RUN      ] TEFuserPass.FuserPass_Multidevice
2022-11-23T03:29:15.4675804Z [       OK ] TEFuserPass.FuserPass_Multidevice (1 ms)
2022-11-23T03:29:15.4676363Z [ RUN      ] TEFuserPass.FuserPass_MergeGroups
2022-11-23T03:29:15.4680053Z [       OK ] TEFuserPass.FuserPass_MergeGroups (0 ms)
2022-11-23T03:29:15.4680553Z [ RUN      ] TEFuserPass.FuserPass_IgnoreUnknownShapeAtStart
2022-11-23T03:29:15.4681700Z [       OK ] TEFuserPass.FuserPass_IgnoreUnknownShapeAtStart (0 ms)
2022-11-23T03:29:15.4682746Z [ RUN      ] TEFuserPass.FuserPass_Where
2022-11-23T03:29:15.4686216Z [       OK ] TEFuserPass.FuserPass_Where (0 ms)
2022-11-23T03:29:15.4686906Z [ RUN      ] TEFuserPass.FuserPass_WhereList
2022-11-23T03:29:15.4688252Z [       OK ] TEFuserPass.FuserPass_WhereList (0 ms)
2022-11-23T03:29:15.4688714Z [ RUN      ] TEFuserPass.DynamicShapeFusion
2022-11-23T03:29:15.8493768Z [       OK ] TEFuserPass.DynamicShapeFusion (380 ms)
2022-11-23T03:29:15.8494719Z [----------] 12 tests from TEFuserPass (385 ms total)
2022-11-23T03:29:15.8494853Z 
2022-11-23T03:29:15.8495054Z [----------] 3 tests from Type
2022-11-23T03:29:15.8495380Z [ RUN      ] Type.Test01
2022-11-23T03:29:15.8495757Z [       OK ] Type.Test01 (0 ms)
2022-11-23T03:29:15.8496629Z [ RUN      ] Type.BitCasting
2022-11-23T03:29:15.8496944Z [       OK ] Type.BitCasting (0 ms)
2022-11-23T03:29:15.8497352Z [ RUN      ] Type.Propagation
2022-11-23T03:29:15.8497686Z [       OK ] Type.Propagation (0 ms)
2022-11-23T03:29:15.8498084Z [----------] 3 tests from Type (0 ms total)
2022-11-23T03:29:15.8498399Z 
2022-11-23T03:29:15.8498538Z [----------] 1 test from SpecializationsInCustomPasses
2022-11-23T03:29:15.8499026Z [ RUN      ] SpecializationsInCustomPasses.Basic
2022-11-23T03:29:15.8530320Z [       OK ] SpecializationsInCustomPasses.Basic (3 ms)
2022-11-23T03:29:15.8530981Z [----------] 1 test from SpecializationsInCustomPasses (3 ms total)
2022-11-23T03:29:15.8531236Z 
2022-11-23T03:29:15.8531429Z [----------] 26 tests from Cuda
2022-11-23T03:29:15.8531859Z [ RUN      ] Cuda.Sigmoid_CUDA
2022-11-23T03:29:16.1975283Z [       OK ] Cuda.Sigmoid_CUDA (344 ms)
2022-11-23T03:29:16.1975798Z [ RUN      ] Cuda.TestVectorAdd01_CUDA
2022-11-23T03:29:18.8392351Z [       OK ] Cuda.TestVectorAdd01_CUDA (2641 ms)
2022-11-23T03:29:18.8393003Z [ RUN      ] Cuda.TestVectorAdd02_CUDA
2022-11-23T03:29:19.4942501Z [       OK ] Cuda.TestVectorAdd02_CUDA (654 ms)
2022-11-23T03:29:19.4943031Z [ RUN      ] Cuda.HalfCast_CUDA
2022-11-23T03:29:19.8211958Z [       OK ] Cuda.HalfCast_CUDA (326 ms)
2022-11-23T03:29:19.8212487Z [ RUN      ] Cuda.DynamicShape2D_CUDA
2022-11-23T03:29:20.8581913Z [       OK ] Cuda.DynamicShape2D_CUDA (1036 ms)
2022-11-23T03:29:20.8582397Z [ RUN      ] Cuda.TestRand01_CUDA
2022-11-23T03:29:21.2072963Z [       OK ] Cuda.TestRand01_CUDA (349 ms)
2022-11-23T03:29:21.2073507Z [ RUN      ] Cuda.DynamicShapeSplit_CUDA
2022-11-23T03:29:21.5368074Z [       OK ] Cuda.DynamicShapeSplit_CUDA (329 ms)
2022-11-23T03:29:21.5368591Z [ RUN      ] Cuda.OneBlockOneThreadGlobalReduce1_CUDA
2022-11-23T03:29:21.8750882Z [       OK ] Cuda.OneBlockOneThreadGlobalReduce1_CUDA (338 ms)
2022-11-23T03:29:21.8751509Z [ RUN      ] Cuda.OneBlockMultiThreadGlobalReduce1_CUDA
2022-11-23T03:29:22.2014571Z [       OK ] Cuda.OneBlockMultiThreadGlobalReduce1_CUDA (326 ms)
2022-11-23T03:29:22.2015299Z [ RUN      ] Cuda.NoThreadIdxWrite_1_CUDA
2022-11-23T03:29:22.5344262Z [       OK ] Cuda.NoThreadIdxWrite_1_CUDA (332 ms)
2022-11-23T03:29:22.5344770Z [ RUN      ] Cuda.SharedMemReduce_1_CUDA
2022-11-23T03:29:22.8826168Z [       OK ] Cuda.SharedMemReduce_1_CUDA (348 ms)
2022-11-23T03:29:22.8826726Z [ RUN      ] Cuda.LocalMemReduce_1_CUDA
2022-11-23T03:29:23.2304576Z [       OK ] Cuda.LocalMemReduce_1_CUDA (347 ms)
2022-11-23T03:29:23.2305144Z [ RUN      ] Cuda.HalfSupport_CUDA
2022-11-23T03:29:23.5633280Z [       OK ] Cuda.HalfSupport_CUDA (332 ms)
2022-11-23T03:29:23.5633709Z [ RUN      ] Cuda.HalfPropagation_CUDA
2022-11-23T03:29:23.8949616Z [       OK ] Cuda.HalfPropagation_CUDA (331 ms)
2022-11-23T03:29:23.8951195Z [ RUN      ] Cuda.UnusedHalfArgument_CUDA
2022-11-23T03:29:24.2254870Z [       OK ] Cuda.UnusedHalfArgument_CUDA (330 ms)
2022-11-23T03:29:24.2255400Z [ RUN      ] Cuda.PrioritizeDependents_CUDA
2022-11-23T03:29:24.5529336Z [       OK ] Cuda.PrioritizeDependents_CUDA (327 ms)
2022-11-23T03:29:24.5529866Z [ RUN      ] Cuda.MaskBlockDim_CUDA
2022-11-23T03:29:24.8806064Z [       OK ] Cuda.MaskBlockDim_CUDA (327 ms)
2022-11-23T03:29:24.8806564Z [ RUN      ] Cuda.MaskThreadDim_CUDA
2022-11-23T03:29:25.2097092Z [       OK ] Cuda.MaskThreadDim_CUDA (328 ms)
2022-11-23T03:29:25.2097612Z [ RUN      ] Cuda.MaskMultiBlockDim_CUDA
2022-11-23T03:29:25.5387727Z [       OK ] Cuda.MaskMultiBlockDim_CUDA (329 ms)
2022-11-23T03:29:25.5388243Z [ RUN      ] Cuda.MaskBlockAndThreadDim_CUDA
2022-11-23T03:29:25.8693614Z [       OK ] Cuda.MaskBlockAndThreadDim_CUDA (330 ms)
2022-11-23T03:29:25.8694112Z [ RUN      ] Cuda.MaskMultiDim_CUDA
2022-11-23T03:29:26.2008511Z [       OK ] Cuda.MaskMultiDim_CUDA (331 ms)
2022-11-23T03:29:26.2009086Z [ RUN      ] Cuda.MaskMultiDimSymbolic_CUDA
2022-11-23T03:29:26.5384735Z [       OK ] Cuda.MaskMultiDimSymbolic_CUDA (337 ms)
2022-11-23T03:29:26.5385295Z [ RUN      ] Cuda.MaskCompoundInnerLoop_CUDA
2022-11-23T03:29:26.8699829Z [       OK ] Cuda.MaskCompoundInnerLoop_CUDA (331 ms)
2022-11-23T03:29:26.8700391Z [ RUN      ] Cuda.MaskInnerLoopOneBlock_CUDA
2022-11-23T03:29:27.2152584Z [       OK ] Cuda.MaskInnerLoopOneBlock_CUDA (345 ms)
2022-11-23T03:29:27.2153329Z [ RUN      ] Cuda.MaskMultiDimMultiAxis_CUDA
2022-11-23T03:29:27.5485136Z [       OK ] Cuda.MaskMultiDimMultiAxis_CUDA (333 ms)
2022-11-23T03:29:27.5485673Z [ RUN      ] Cuda.MaskMultiDimMultiLevel_CUDA
2022-11-23T03:29:27.8807321Z [       OK ] Cuda.MaskMultiDimMultiLevel_CUDA (332 ms)
2022-11-23T03:29:27.8807822Z [----------] 26 tests from Cuda (12027 ms total)
2022-11-23T03:29:27.8808166Z 
2022-11-23T03:29:27.8808244Z [----------] 150 tests from LLVM
2022-11-23T03:29:27.8808576Z [ RUN      ] LLVM.ByteImmTest
2022-11-23T03:29:27.9082596Z [       OK ] LLVM.ByteImmTest (27 ms)
2022-11-23T03:29:27.9083055Z [ RUN      ] LLVM.CharImmTest
2022-11-23T03:29:27.9361238Z [       OK ] LLVM.CharImmTest (27 ms)
2022-11-23T03:29:27.9361657Z [ RUN      ] LLVM.ShortImmTest
2022-11-23T03:29:27.9635252Z [       OK ] LLVM.ShortImmTest (27 ms)
2022-11-23T03:29:27.9635690Z [ RUN      ] LLVM.IntImmTest
2022-11-23T03:29:27.9912512Z [       OK ] LLVM.IntImmTest (27 ms)
2022-11-23T03:29:27.9912917Z [ RUN      ] LLVM.LongImmTest
2022-11-23T03:29:28.0186960Z [       OK ] LLVM.LongImmTest (27 ms)
2022-11-23T03:29:28.0187382Z [ RUN      ] LLVM.FloatImmTest
2022-11-23T03:29:28.0464257Z [       OK ] LLVM.FloatImmTest (27 ms)
2022-11-23T03:29:28.0464690Z [ RUN      ] LLVM.DoubleImmTest
2022-11-23T03:29:28.0740924Z [       OK ] LLVM.DoubleImmTest (27 ms)
2022-11-23T03:29:28.0741352Z [ RUN      ] LLVM.HalfImmTest
2022-11-23T03:29:28.1018211Z [       OK ] LLVM.HalfImmTest (27 ms)
2022-11-23T03:29:28.1018661Z [ RUN      ] LLVM.ByteAddTest
2022-11-23T03:29:28.1292913Z [       OK ] LLVM.ByteAddTest (27 ms)
2022-11-23T03:29:28.1293329Z [ RUN      ] LLVM.CharAddTest
2022-11-23T03:29:28.1571704Z [       OK ] LLVM.CharAddTest (27 ms)
2022-11-23T03:29:28.1572134Z [ RUN      ] LLVM.ShortAddTest
2022-11-23T03:29:28.1846751Z [       OK ] LLVM.ShortAddTest (27 ms)
2022-11-23T03:29:28.1847144Z [ RUN      ] LLVM.IntAddTest
2022-11-23T03:29:28.2124857Z [       OK ] LLVM.IntAddTest (27 ms)
2022-11-23T03:29:28.2125276Z [ RUN      ] LLVM.LongAddTest
2022-11-23T03:29:28.2400405Z [       OK ] LLVM.LongAddTest (27 ms)
2022-11-23T03:29:28.2401227Z [ RUN      ] LLVM.FloatAddTest
2022-11-23T03:29:28.2677455Z [       OK ] LLVM.FloatAddTest (27 ms)
2022-11-23T03:29:28.2677857Z [ RUN      ] LLVM.DoubleAddTest
2022-11-23T03:29:28.2952197Z [       OK ] LLVM.DoubleAddTest (27 ms)
2022-11-23T03:29:28.2952626Z [ RUN      ] LLVM.HalfAddTest
2022-11-23T03:29:28.3230476Z [       OK ] LLVM.HalfAddTest (27 ms)
2022-11-23T03:29:28.3230882Z [ RUN      ] LLVM.ByteSubTest
2022-11-23T03:29:28.3504348Z [       OK ] LLVM.ByteSubTest (27 ms)
2022-11-23T03:29:28.3504769Z [ RUN      ] LLVM.CharSubTest
2022-11-23T03:29:28.3779955Z [       OK ] LLVM.CharSubTest (27 ms)
2022-11-23T03:29:28.3780357Z [ RUN      ] LLVM.ShortSubTest
2022-11-23T03:29:28.4054293Z [       OK ] LLVM.ShortSubTest (27 ms)
2022-11-23T03:29:28.4054699Z [ RUN      ] LLVM.IntSubTest
2022-11-23T03:29:28.4335880Z [       OK ] LLVM.IntSubTest (28 ms)
2022-11-23T03:29:28.4336825Z [ RUN      ] LLVM.LongSubTest
2022-11-23T03:29:28.4611861Z [       OK ] LLVM.LongSubTest (27 ms)
2022-11-23T03:29:28.4612297Z [ RUN      ] LLVM.FloatSubTest
2022-11-23T03:29:28.4891248Z [       OK ] LLVM.FloatSubTest (27 ms)
2022-11-23T03:29:28.4891673Z [ RUN      ] LLVM.DoubleSubTest
2022-11-23T03:29:28.5167883Z [       OK ] LLVM.DoubleSubTest (27 ms)
2022-11-23T03:29:28.5168322Z [ RUN      ] LLVM.HalfSubTest
2022-11-23T03:29:28.5448668Z [       OK ] LLVM.HalfSubTest (28 ms)
2022-11-23T03:29:28.5449080Z [ RUN      ] LLVM.ByteMulTest
2022-11-23T03:29:28.5724552Z [       OK ] LLVM.ByteMulTest (27 ms)
2022-11-23T03:29:28.5724967Z [ RUN      ] LLVM.CharMulTest
2022-11-23T03:29:28.6001284Z [       OK ] LLVM.CharMulTest (27 ms)
2022-11-23T03:29:28.6001622Z [ RUN      ] LLVM.ShortMulTest
2022-11-23T03:29:28.6276382Z [       OK ] LLVM.ShortMulTest (27 ms)
2022-11-23T03:29:28.6276778Z [ RUN      ] LLVM.IntMulTest
2022-11-23T03:29:28.6553699Z [       OK ] LLVM.IntMulTest (27 ms)
2022-11-23T03:29:28.6554071Z [ RUN      ] LLVM.LongMulTest
2022-11-23T03:29:28.6830028Z [       OK ] LLVM.LongMulTest (27 ms)
2022-11-23T03:29:28.6830380Z [ RUN      ] LLVM.FloatMulTest
2022-11-23T03:29:28.7106708Z [       OK ] LLVM.FloatMulTest (27 ms)
2022-11-23T03:29:28.7107053Z [ RUN      ] LLVM.DoubleMulTest
2022-11-23T03:29:28.7385948Z [       OK ] LLVM.DoubleMulTest (27 ms)
2022-11-23T03:29:28.7386272Z [ RUN      ] LLVM.HalfMulTest
2022-11-23T03:29:28.7661708Z [       OK ] LLVM.HalfMulTest (27 ms)
2022-11-23T03:29:28.7662115Z [ RUN      ] LLVM.ByteDivTest
2022-11-23T03:29:28.7938178Z [       OK ] LLVM.ByteDivTest (27 ms)
2022-11-23T03:29:28.7938600Z [ RUN      ] LLVM.CharDivTest
2022-11-23T03:29:28.8211330Z [       OK ] LLVM.CharDivTest (27 ms)
2022-11-23T03:29:28.8211815Z [ RUN      ] LLVM.ShortDivTest
2022-11-23T03:29:28.8489312Z [       OK ] LLVM.ShortDivTest (27 ms)
2022-11-23T03:29:28.8489721Z [ RUN      ] LLVM.IntDivTest
2022-11-23T03:29:28.8763946Z [       OK ] LLVM.IntDivTest (27 ms)
2022-11-23T03:29:28.8764350Z [ RUN      ] LLVM.LongDivTest
2022-11-23T03:29:28.9043010Z [       OK ] LLVM.LongDivTest (27 ms)
2022-11-23T03:29:28.9043413Z [ RUN      ] LLVM.FloatDivTest
2022-11-23T03:29:28.9318156Z [       OK ] LLVM.FloatDivTest (27 ms)
2022-11-23T03:29:28.9318591Z [ RUN      ] LLVM.DoubleDivTest
2022-11-23T03:29:28.9597964Z [       OK ] LLVM.DoubleDivTest (27 ms)
2022-11-23T03:29:28.9598365Z [ RUN      ] LLVM.HalfDivTest
2022-11-23T03:29:28.9872022Z [       OK ] LLVM.HalfDivTest (27 ms)
2022-11-23T03:29:28.9872460Z [ RUN      ] LLVM.IntToFloatCastTest
2022-11-23T03:29:29.0151347Z [       OK ] LLVM.IntToFloatCastTest (27 ms)
2022-11-23T03:29:29.0151786Z [ RUN      ] LLVM.FloatToIntCastTest
2022-11-23T03:29:29.0425828Z [       OK ] LLVM.FloatToIntCastTest (27 ms)
2022-11-23T03:29:29.0426294Z [ RUN      ] LLVM.IntToLongCastTest
2022-11-23T03:29:29.0704455Z [       OK ] LLVM.IntToLongCastTest (27 ms)
2022-11-23T03:29:29.0704969Z [ RUN      ] LLVM.ByteToCharCastTest
2022-11-23T03:29:29.0976549Z [       OK ] LLVM.ByteToCharCastTest (27 ms)
2022-11-23T03:29:29.0977034Z [ RUN      ] LLVM.HalfToLongCastTest
2022-11-23T03:29:29.1253440Z [       OK ] LLVM.HalfToLongCastTest (27 ms)
2022-11-23T03:29:29.1253926Z [ RUN      ] LLVM.ByteToDoubleCastTest
2022-11-23T03:29:29.1530648Z [       OK ] LLVM.ByteToDoubleCastTest (27 ms)
2022-11-23T03:29:29.1531119Z [ RUN      ] LLVM.FloatToByteCastTest
2022-11-23T03:29:29.1807237Z [       OK ] LLVM.FloatToByteCastTest (27 ms)
2022-11-23T03:29:29.1807727Z [ RUN      ] LLVM.FloatToCharCastTest
2022-11-23T03:29:29.2082557Z [       OK ] LLVM.FloatToCharCastTest (27 ms)
2022-11-23T03:29:29.2082998Z [ RUN      ] LLVM.ByteToFloatCastTest
2022-11-23T03:29:29.2360461Z [       OK ] LLVM.ByteToFloatCastTest (27 ms)
2022-11-23T03:29:29.2360934Z [ RUN      ] LLVM.CharToFloatCastTest
2022-11-23T03:29:29.2637404Z [       OK ] LLVM.CharToFloatCastTest (27 ms)
2022-11-23T03:29:29.2637861Z [ RUN      ] LLVM.BitCast
2022-11-23T03:29:29.3741487Z [       OK ] LLVM.BitCast (110 ms)
2022-11-23T03:29:29.3741880Z [ RUN      ] LLVM.fastLogFloat
2022-11-23T03:29:29.4669725Z [       OK ] LLVM.fastLogFloat (92 ms)
2022-11-23T03:29:29.4670158Z [ RUN      ] LLVM.LetTest01
2022-11-23T03:29:29.4951417Z [       OK ] LLVM.LetTest01 (28 ms)
2022-11-23T03:29:29.4951818Z [ RUN      ] LLVM.LetTest02
2022-11-23T03:29:29.5227144Z [       OK ] LLVM.LetTest02 (27 ms)
2022-11-23T03:29:29.5227618Z [ RUN      ] LLVM.LetTestMultitype
2022-11-23T03:29:29.5509458Z [       OK ] LLVM.LetTestMultitype (28 ms)
2022-11-23T03:29:29.5509871Z [ RUN      ] LLVM.BufferTest
2022-11-23T03:29:29.5784820Z [       OK ] LLVM.BufferTest (27 ms)
2022-11-23T03:29:29.5785226Z [ RUN      ] LLVM.BlockTest
2022-11-23T03:29:29.6068220Z [       OK ] LLVM.BlockTest (28 ms)
2022-11-23T03:29:29.6068738Z [ RUN      ] LLVM.LoadStoreTest
2022-11-23T03:29:29.6348889Z [       OK ] LLVM.LoadStoreTest (28 ms)
2022-11-23T03:29:29.6349319Z [ RUN      ] LLVM.IfThenElseTest
2022-11-23T03:29:29.6651704Z [       OK ] LLVM.IfThenElseTest (30 ms)
2022-11-23T03:29:29.6652160Z [ RUN      ] LLVM.CondNoFalseBlockTest
2022-11-23T03:29:29.7546020Z [       OK ] LLVM.CondNoFalseBlockTest (89 ms)
2022-11-23T03:29:29.8442478Z [ RUN      ] LLVM.CondTest
2022-11-23T03:29:29.8442933Z [       OK ] LLVM.CondTest (89 ms)
2022-11-23T03:29:29.8443286Z [ RUN      ] LLVM.CondNestedTest
2022-11-23T03:29:29.9704181Z [       OK ] LLVM.CondNestedTest (126 ms)
2022-11-23T03:29:29.9704648Z [ RUN      ] LLVM.DirectVectorization
2022-11-23T03:29:30.0257716Z [       OK ] LLVM.DirectVectorization (55 ms)
2022-11-23T03:29:30.0258199Z [ RUN      ] LLVM.VecLoadStoreTest
2022-11-23T03:29:30.0542642Z [       OK ] LLVM.VecLoadStoreTest (28 ms)
2022-11-23T03:29:30.0543100Z [ RUN      ] LLVM.VecFloat_erfLane4Test
2022-11-23T03:29:30.0833460Z [       OK ] LLVM.VecFloat_erfLane4Test (29 ms)
2022-11-23T03:29:30.0833892Z [ RUN      ] LLVM.VecFloat_erfcLane4Test
2022-11-23T03:29:30.1121868Z [       OK ] LLVM.VecFloat_erfcLane4Test (28 ms)
2022-11-23T03:29:30.1122318Z [ RUN      ] LLVM.VecFloat_acosLane4Test
2022-11-23T03:29:30.1411400Z [       OK ] LLVM.VecFloat_acosLane4Test (28 ms)
2022-11-23T03:29:30.1412303Z [ RUN      ] LLVM.VecFloat_asinLane4Test
2022-11-23T03:29:30.1700419Z [       OK ] LLVM.VecFloat_asinLane4Test (28 ms)
2022-11-23T03:29:30.1700884Z [ RUN      ] LLVM.VecFloat_atanLane4Test
2022-11-23T03:29:30.1995239Z [       OK ] LLVM.VecFloat_atanLane4Test (29 ms)
2022-11-23T03:29:30.1995704Z [ RUN      ] LLVM.VecFloat_coshLane4Test
2022-11-23T03:29:30.2287905Z [       OK ] LLVM.VecFloat_coshLane4Test (29 ms)
2022-11-23T03:29:30.2288352Z [ RUN      ] LLVM.VecFloat_sinhLane4Test
2022-11-23T03:29:30.2577536Z [       OK ] LLVM.VecFloat_sinhLane4Test (28 ms)
2022-11-23T03:29:30.2578010Z [ RUN      ] LLVM.VecFloat_tanhLane4Test
2022-11-23T03:29:30.2871379Z [       OK ] LLVM.VecFloat_tanhLane4Test (29 ms)
2022-11-23T03:29:30.2871889Z [ RUN      ] LLVM.VecFloat_expm1Lane4Test
2022-11-23T03:29:30.3165238Z [       OK ] LLVM.VecFloat_expm1Lane4Test (29 ms)
2022-11-23T03:29:30.3165732Z [ RUN      ] LLVM.VecFloat_lgammaLane4Test
2022-11-23T03:29:30.3461090Z [       OK ] LLVM.VecFloat_lgammaLane4Test (29 ms)
2022-11-23T03:29:30.3461588Z [ RUN      ] LLVM.VecFloat_erfLane8Test
2022-11-23T03:29:30.3750454Z [       OK ] LLVM.VecFloat_erfLane8Test (28 ms)
2022-11-23T03:29:30.3750922Z [ RUN      ] LLVM.VecFloat_erfcLane8Test
2022-11-23T03:29:30.4045524Z [       OK ] LLVM.VecFloat_erfcLane8Test (29 ms)
2022-11-23T03:29:30.4046035Z [ RUN      ] LLVM.VecFloat_acosLane8Test
2022-11-23T03:29:30.4339938Z [       OK ] LLVM.VecFloat_acosLane8Test (29 ms)
2022-11-23T03:29:30.4340401Z [ RUN      ] LLVM.VecFloat_asinLane8Test
2022-11-23T03:29:30.4628475Z [       OK ] LLVM.VecFloat_asinLane8Test (28 ms)
2022-11-23T03:29:30.4628944Z [ RUN      ] LLVM.VecFloat_atanLane8Test
2022-11-23T03:29:30.4923525Z [       OK ] LLVM.VecFloat_atanLane8Test (29 ms)
2022-11-23T03:29:30.4923986Z [ RUN      ] LLVM.VecFloat_coshLane8Test
2022-11-23T03:29:30.5219543Z [       OK ] LLVM.VecFloat_coshLane8Test (29 ms)
2022-11-23T03:29:30.5219994Z [ RUN      ] LLVM.VecFloat_sinhLane8Test
2022-11-23T03:29:30.5511301Z [       OK ] LLVM.VecFloat_sinhLane8Test (29 ms)
2022-11-23T03:29:30.5511732Z [ RUN      ] LLVM.VecFloat_tanhLane8Test
2022-11-23T03:29:30.5800728Z [       OK ] LLVM.VecFloat_tanhLane8Test (28 ms)
2022-11-23T03:29:30.5801205Z [ RUN      ] LLVM.VecFloat_expm1Lane8Test
2022-11-23T03:29:30.6095335Z [       OK ] LLVM.VecFloat_expm1Lane8Test (29 ms)
2022-11-23T03:29:30.6095777Z [ RUN      ] LLVM.VecFloat_lgammaLane8Test
2022-11-23T03:29:30.6389143Z [       OK ] LLVM.VecFloat_lgammaLane8Test (29 ms)
2022-11-23T03:29:30.6389609Z [ RUN      ] LLVM.VecDouble_erfLane2Test
2022-11-23T03:29:30.6679726Z [       OK ] LLVM.VecDouble_erfLane2Test (28 ms)
2022-11-23T03:29:30.6680241Z [ RUN      ] LLVM.VecDouble_erfcLane2Test
2022-11-23T03:29:30.6971388Z [       OK ] LLVM.VecDouble_erfcLane2Test (29 ms)
2022-11-23T03:29:30.6971847Z [ RUN      ] LLVM.VecDouble_acosLane2Test
2022-11-23T03:29:30.7264949Z [       OK ] LLVM.VecDouble_acosLane2Test (29 ms)
2022-11-23T03:29:30.7265410Z [ RUN      ] LLVM.VecDouble_asinLane2Test
2022-11-23T03:29:30.7556731Z [       OK ] LLVM.VecDouble_asinLane2Test (29 ms)
2022-11-23T03:29:30.7557175Z [ RUN      ] LLVM.VecDouble_atanLane2Test
2022-11-23T03:29:30.7847001Z [       OK ] LLVM.VecDouble_atanLane2Test (28 ms)
2022-11-23T03:29:30.7847404Z [ RUN      ] LLVM.VecDouble_coshLane2Test
2022-11-23T03:29:30.8143070Z [       OK ] LLVM.VecDouble_coshLane2Test (29 ms)
2022-11-23T03:29:30.8143640Z [ RUN      ] LLVM.VecDouble_sinhLane2Test
2022-11-23T03:29:30.8436287Z [       OK ] LLVM.VecDouble_sinhLane2Test (29 ms)
2022-11-23T03:29:30.8436703Z [ RUN      ] LLVM.VecDouble_tanhLane2Test
2022-11-23T03:29:30.8724193Z [       OK ] LLVM.VecDouble_tanhLane2Test (28 ms)
2022-11-23T03:29:30.8724924Z [ RUN      ] LLVM.VecDouble_expm1Lane2Test
2022-11-23T03:29:30.9018583Z [       OK ] LLVM.VecDouble_expm1Lane2Test (29 ms)
2022-11-23T03:29:30.9019144Z [ RUN      ] LLVM.VecDouble_lgammaLane2Test
2022-11-23T03:29:30.9312845Z [       OK ] LLVM.VecDouble_lgammaLane2Test (29 ms)
2022-11-23T03:29:30.9313383Z [ RUN      ] LLVM.VecDouble_erfLane4Test
2022-11-23T03:29:30.9605793Z [       OK ] LLVM.VecDouble_erfLane4Test (29 ms)
2022-11-23T03:29:30.9606303Z [ RUN      ] LLVM.VecDouble_erfcLane4Test
2022-11-23T03:29:30.9895586Z [       OK ] LLVM.VecDouble_erfcLane4Test (28 ms)
2022-11-23T03:29:30.9896618Z [ RUN      ] LLVM.VecDouble_acosLane4Test
2022-11-23T03:29:31.0189597Z [       OK ] LLVM.VecDouble_acosLane4Test (29 ms)
2022-11-23T03:29:31.0190174Z [ RUN      ] LLVM.VecDouble_asinLane4Test
2022-11-23T03:29:31.0484070Z [       OK ] LLVM.VecDouble_asinLane4Test (29 ms)
2022-11-23T03:29:31.0484606Z [ RUN      ] LLVM.VecDouble_atanLane4Test
2022-11-23T03:29:31.0775419Z [       OK ] LLVM.VecDouble_atanLane4Test (29 ms)
2022-11-23T03:29:31.0775981Z [ RUN      ] LLVM.VecDouble_coshLane4Test
2022-11-23T03:29:31.1066627Z [       OK ] LLVM.VecDouble_coshLane4Test (29 ms)
2022-11-23T03:29:31.1067132Z [ RUN      ] LLVM.VecDouble_sinhLane4Test
2022-11-23T03:29:31.1357264Z [       OK ] LLVM.VecDouble_sinhLane4Test (29 ms)
2022-11-23T03:29:31.1357869Z [ RUN      ] LLVM.VecDouble_tanhLane4Test
2022-11-23T03:29:31.1646651Z [       OK ] LLVM.VecDouble_tanhLane4Test (28 ms)
2022-11-23T03:29:31.1647291Z [ RUN      ] LLVM.VecDouble_expm1Lane4Test
2022-11-23T03:29:31.1941534Z [       OK ] LLVM.VecDouble_expm1Lane4Test (29 ms)
2022-11-23T03:29:31.2234376Z [ RUN      ] LLVM.VecDouble_lgammaLane4Test
2022-11-23T03:29:31.2234973Z [       OK ] LLVM.VecDouble_lgammaLane4Test (29 ms)
2022-11-23T03:29:31.2235413Z [ RUN      ] LLVM.VectorizerLoadStoreTest
2022-11-23T03:29:31.2516835Z [       OK ] LLVM.VectorizerLoadStoreTest (28 ms)
2022-11-23T03:29:31.2517460Z [ RUN      ] LLVM.VectorizeBitCast
2022-11-23T03:29:31.2857791Z [       OK ] LLVM.VectorizeBitCast (33 ms)
2022-11-23T03:29:31.2858519Z [ RUN      ] LLVM.MemcpyTest
2022-11-23T03:29:31.3169817Z [       OK ] LLVM.MemcpyTest (31 ms)
2022-11-23T03:29:31.3170268Z [ RUN      ] LLVM.BzeroTest
2022-11-23T03:29:31.3468386Z [       OK ] LLVM.BzeroTest (29 ms)
2022-11-23T03:29:31.3468863Z [ RUN      ] LLVM.ElemwiseAdd
2022-11-23T03:29:31.3962964Z [       OK ] LLVM.ElemwiseAdd (49 ms)
2022-11-23T03:29:31.3963521Z [ RUN      ] LLVM.ElemwiseAddFloat
2022-11-23T03:29:31.4451828Z [       OK ] LLVM.ElemwiseAddFloat (48 ms)
2022-11-23T03:29:31.4452417Z [ RUN      ] LLVM.ElemwiseLog10Float
2022-11-23T03:29:31.4808211Z [       OK ] LLVM.ElemwiseLog10Float (35 ms)
2022-11-23T03:29:31.4808775Z [ RUN      ] LLVM.ElemwiseLog1pFloat
2022-11-23T03:29:31.5167308Z [       OK ] LLVM.ElemwiseLog1pFloat (35 ms)
2022-11-23T03:29:31.5167842Z [ RUN      ] LLVM.ElemwiseMaxInt
2022-11-23T03:29:31.5660482Z [       OK ] LLVM.ElemwiseMaxInt (49 ms)
2022-11-23T03:29:31.5660999Z [ RUN      ] LLVM.ElemwiseMinInt
2022-11-23T03:29:31.6155260Z [       OK ] LLVM.ElemwiseMinInt (49 ms)
2022-11-23T03:29:31.6155809Z [ RUN      ] LLVM.ElemwiseMaxFloat
2022-11-23T03:29:31.6598947Z [       OK ] LLVM.ElemwiseMaxFloat (44 ms)
2022-11-23T03:29:31.6599561Z [ RUN      ] LLVM.ElemwiseMaxNaNFloat
2022-11-23T03:29:31.7046273Z [       OK ] LLVM.ElemwiseMaxNaNFloat (44 ms)
2022-11-23T03:29:31.7046845Z [ RUN      ] LLVM.ElemwiseMinFloat
2022-11-23T03:29:31.7491619Z [       OK ] LLVM.ElemwiseMinFloat (44 ms)
2022-11-23T03:29:31.7492207Z [ RUN      ] LLVM.ElemwiseMinNaNFloat
2022-11-23T03:29:31.7938522Z [       OK ] LLVM.ElemwiseMinNaNFloat (44 ms)
2022-11-23T03:29:31.7939041Z [ RUN      ] LLVM.ElemwiseMod
2022-11-23T03:29:31.8357893Z [       OK ] LLVM.ElemwiseMod (41 ms)
2022-11-23T03:29:31.8358505Z [ RUN      ] LLVM.CompareSelectIntEQ
2022-11-23T03:29:31.8869912Z [       OK ] LLVM.CompareSelectIntEQ (51 ms)
2022-11-23T03:29:31.8870514Z [ RUN      ] LLVM.CompareSelectFloatEQ
2022-11-23T03:29:31.9384103Z [       OK ] LLVM.CompareSelectFloatEQ (51 ms)
2022-11-23T03:29:31.9384678Z [ RUN      ] LLVM.CompareSelectByteGT
2022-11-23T03:29:31.9939317Z [       OK ] LLVM.CompareSelectByteGT (55 ms)
2022-11-23T03:29:31.9939909Z [ RUN      ] LLVM.CompareSelectByteGE
2022-11-23T03:29:32.0504284Z [       OK ] LLVM.CompareSelectByteGE (56 ms)
2022-11-23T03:29:32.0504870Z [ RUN      ] LLVM.CompareSelectByteLT
2022-11-23T03:29:32.1061981Z [       OK ] LLVM.CompareSelectByteLT (55 ms)
2022-11-23T03:29:32.1062462Z [ RUN      ] LLVM.CompareSelectByteLE
2022-11-23T03:29:32.1622187Z [       OK ] LLVM.CompareSelectByteLE (55 ms)
2022-11-23T03:29:32.1622673Z [ RUN      ] LLVM.StoreFloat
2022-11-23T03:29:32.1897973Z [       OK ] LLVM.StoreFloat (27 ms)
2022-11-23T03:29:32.1898437Z [ RUN      ] LLVM.SimpleMath01
2022-11-23T03:29:32.2427857Z [       OK ] LLVM.SimpleMath01 (52 ms)
2022-11-23T03:29:32.2428367Z [ RUN      ] LLVM.ComputeMul
2022-11-23T03:29:32.2917213Z [       OK ] LLVM.ComputeMul (48 ms)
2022-11-23T03:29:32.2917696Z [ RUN      ] LLVM.BroadcastAdd
2022-11-23T03:29:32.3490805Z [       OK ] LLVM.BroadcastAdd (57 ms)
2022-11-23T03:29:32.3491383Z [ RUN      ] LLVM.BitwiseOps
2022-11-23T03:29:32.3769073Z [       OK ] LLVM.BitwiseOps (27 ms)
2022-11-23T03:29:32.3769594Z [ RUN      ] LLVM.ArithmeticRightShift
2022-11-23T03:29:32.4047528Z [       OK ] LLVM.ArithmeticRightShift (27 ms)
2022-11-23T03:29:32.4048021Z [ RUN      ] LLVM.LogicalRightShift
2022-11-23T03:29:32.4321361Z [       OK ] LLVM.LogicalRightShift (27 ms)
2022-11-23T03:29:32.4321908Z [ RUN      ] LLVM.DynamicShapeAdd
2022-11-23T03:29:32.6315318Z [       OK ] LLVM.DynamicShapeAdd (199 ms)
2022-11-23T03:29:32.6315835Z [ RUN      ] LLVM.BindDynamicShapeAdd
2022-11-23T03:29:32.8309657Z [       OK ] LLVM.BindDynamicShapeAdd (199 ms)
2022-11-23T03:29:32.8310168Z [ RUN      ] LLVM.TensorDynamicShapeAdd
2022-11-23T03:29:33.0305860Z [       OK ] LLVM.TensorDynamicShapeAdd (199 ms)
2022-11-23T03:29:33.0306427Z [ RUN      ] LLVM.DynamicShape2D
2022-11-23T03:29:33.3546903Z [       OK ] LLVM.DynamicShape2D (324 ms)
2022-11-23T03:29:33.3547391Z [ RUN      ] LLVM.EmptyStmt
2022-11-23T03:29:33.3810694Z [       OK ] LLVM.EmptyStmt (26 ms)
2022-11-23T03:29:33.3811253Z [ RUN      ] LLVM.EliminatedStmt
2022-11-23T03:29:33.4077363Z [       OK ] LLVM.EliminatedStmt (26 ms)
2022-11-23T03:29:33.4077914Z [ RUN      ] LLVM.SimpleReduction
2022-11-23T03:29:33.5270390Z [       OK ] LLVM.SimpleReduction (119 ms)
2022-11-23T03:29:33.5270854Z [ RUN      ] LLVM.RFactorReduction
2022-11-23T03:29:33.5765518Z [       OK ] LLVM.RFactorReduction (49 ms)
2022-11-23T03:29:33.5766079Z [ RUN      ] LLVM.RFactorVectorizedReduction
2022-11-23T03:29:33.6583839Z [       OK ] LLVM.RFactorVectorizedReduction (81 ms)
2022-11-23T03:29:33.6584351Z [ RUN      ] LLVM.SimpleParallelSS
2022-11-23T03:29:33.6950262Z [       OK ] LLVM.SimpleParallelSS (36 ms)
2022-11-23T03:29:33.6950788Z [ RUN      ] LLVM.SimpleParallelSP
2022-11-23T03:29:33.7357141Z [       OK ] LLVM.SimpleParallelSP (40 ms)
2022-11-23T03:29:33.7357657Z [ RUN      ] LLVM.SimpleParallelPS
2022-11-23T03:29:33.7776113Z [       OK ] LLVM.SimpleParallelPS (41 ms)
2022-11-23T03:29:33.7776757Z [ RUN      ] LLVM.SimpleParallelPP
2022-11-23T03:29:33.8194293Z [       OK ] LLVM.SimpleParallelPP (41 ms)
2022-11-23T03:29:33.8194879Z [ RUN      ] LLVM.CompositeParallel
2022-11-23T03:29:38.5361601Z [       OK ] LLVM.CompositeParallel (4716 ms)
2022-11-23T03:29:38.5362346Z [ RUN      ] LLVM.VectorizedGEMM
2022-11-23T03:29:38.6778636Z [       OK ] LLVM.VectorizedGEMM (141 ms)
2022-11-23T03:29:38.6779061Z [ RUN      ] LLVM.CallRaw
2022-11-23T03:29:39.6595069Z [       OK ] LLVM.CallRaw (981 ms)
2022-11-23T03:29:39.6595600Z [ RUN      ] LLVM.CustomTarget
2022-11-23T03:29:39.6945714Z [       OK ] LLVM.CustomTarget (34 ms)
2022-11-23T03:29:39.6946128Z [ RUN      ] LLVM.CodeGenKernelFuncName
2022-11-23T03:29:39.7510006Z [       OK ] LLVM.CodeGenKernelFuncName (56 ms)
2022-11-23T03:29:39.7510491Z [----------] 150 tests from LLVM (11870 ms total)
2022-11-23T03:29:39.7510686Z 
2022-11-23T03:29:39.7510925Z [----------] Global test environment tear-down
2022-11-23T03:29:39.7626798Z [==========] 829 tests from 26 test suites ran. (50754 ms total)
2022-11-23T03:29:39.7627238Z [  PASSED  ] 829 tests.
2022-11-23T03:29:39.7627426Z 
2022-11-23T03:29:39.7627588Z   YOU HAVE 5 DISABLED TESTS
2022-11-23T03:29:39.7627768Z 
2022-11-23T03:29:39.9818931Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *android* ]]
2022-11-23T03:29:39.9819503Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *cuda* ]]
2022-11-23T03:29:39.9819869Z + assert_git_not_dirty
2022-11-23T03:29:39.9820256Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *rocm* ]]
2022-11-23T03:29:39.9820725Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *xla* ]]
2022-11-23T03:29:39.9823068Z ++ git status --porcelain
2022-11-23T03:29:40.1170661Z + git_status=
2022-11-23T03:29:40.1171230Z + [[ -n '' ]]
2022-11-23T03:29:40.1171515Z + test_aot_compilation
2022-11-23T03:29:40.1171842Z + echo 'Testing Ahead of Time compilation'
2022-11-23T03:29:40.1172167Z Testing Ahead of Time compilation
2022-11-23T03:29:40.1173046Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so /opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T03:29:40.1190420Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so /opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T03:29:40.1206161Z + TEST_REPORTS_DIR=test/test-reports/cpp-unittest/test_aot_compilation
2022-11-23T03:29:40.1206697Z + mkdir -p test/test-reports/cpp-unittest/test_aot_compilation
2022-11-23T03:29:40.1223838Z + '[' -f /opt/conda/lib/python3.10/site-packages/torch/bin/test_mobile_nnc ']'
2022-11-23T03:29:40.1224516Z + /opt/conda/lib/python3.10/site-packages/torch/bin/test_mobile_nnc --gtest_output=xml:test/test-reports/cpp-unittest/test_aot_compilation/test_mobile_nnc.xml
2022-11-23T03:29:40.6139024Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA
2022-11-23T03:29:40.6139638Z [==========] Running 6 tests from 2 test suites.
2022-11-23T03:29:40.6140076Z [----------] Global test environment set-up.
2022-11-23T03:29:40.6140595Z [----------] 4 tests from Function
2022-11-23T03:29:40.6141000Z [ RUN      ] Function.ExecuteSlowMul
2022-11-23T03:29:40.6151962Z [       OK ] Function.ExecuteSlowMul (1 ms)
2022-11-23T03:29:40.6152911Z [ RUN      ] Function.Serialization
2022-11-23T03:29:40.6153405Z [       OK ] Function.Serialization (0 ms)
2022-11-23T03:29:40.6153796Z [ RUN      ] Function.ValidInput
2022-11-23T03:29:40.6154186Z [       OK ] Function.ValidInput (0 ms)
2022-11-23T03:29:40.6154568Z [ RUN      ] Function.InvalidInput
2022-11-23T03:29:40.6164502Z [       OK ] Function.InvalidInput (1 ms)
2022-11-23T03:29:40.6165459Z [----------] 4 tests from Function (2 ms total)
2022-11-23T03:29:40.6165887Z 
2022-11-23T03:29:40.6166132Z [----------] 2 tests from MobileNNCRegistryTest
2022-11-23T03:29:40.6166584Z [ RUN      ] MobileNNCRegistryTest.FindAndRun
2022-11-23T03:29:40.6167049Z [       OK ] MobileNNCRegistryTest.FindAndRun (0 ms)
2022-11-23T03:29:40.6167627Z [ RUN      ] MobileNNCRegistryTest.NoKernel
2022-11-23T03:29:40.6168080Z [       OK ] MobileNNCRegistryTest.NoKernel (0 ms)
2022-11-23T03:29:40.6169378Z [----------] 2 tests from MobileNNCRegistryTest (0 ms total)
2022-11-23T03:29:40.6169912Z 
2022-11-23T03:29:40.6170412Z [----------] Global test environment tear-down
2022-11-23T03:29:40.6170915Z [==========] 6 tests from 2 test suites ran. (2 ms total)
2022-11-23T03:29:40.6171555Z [  PASSED  ] 6 tests.
2022-11-23T03:29:40.6171753Z 
2022-11-23T03:29:40.6171939Z   YOU HAVE 1 DISABLED TEST
2022-11-23T03:29:40.6172116Z 
2022-11-23T03:29:40.7285079Z + '[' -f /opt/conda/lib/python3.10/site-packages/torch/bin/aot_model_compiler_test ']'
2022-11-23T03:29:40.7285612Z + source test/mobile/nnc/test_aot_compile.sh
2022-11-23T03:29:40.7285963Z ++ set -e -o pipefail
2022-11-23T03:29:40.7288840Z +++ python -c 'import site; print(site.getsitepackages()[0])'
2022-11-23T03:29:40.7575906Z ++ TORCH_INSTALL_DIR=/opt/conda/lib/python3.10/site-packages/torch
2022-11-23T03:29:40.7577063Z ++ TORCH_BIN_DIR=/opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T03:29:40.7579108Z +++ dirname test/mobile/nnc/test_aot_compile.sh
2022-11-23T03:29:40.7595633Z ++ CURRENT_DIR=test/mobile/nnc
2022-11-23T03:29:40.7596366Z ++ MODEL=aot_test_model.pt
2022-11-23T03:29:40.7596946Z ++ COMPILED_MODEL=aot_test_model.compiled.pt
2022-11-23T03:29:40.7597290Z ++ COMPILED_CODE=aot_test_model.compiled.ll
2022-11-23T03:29:40.7600881Z +++ mktemp -d -t build_XXX
2022-11-23T03:29:40.7620639Z ++ TMP_DIR=/tmp/build_mjD
2022-11-23T03:29:40.7621320Z + test_custom_script_ops
2022-11-23T03:29:40.7622322Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *asan* ]]
2022-11-23T03:29:40.7623266Z + echo 'Testing custom script operators'
2022-11-23T03:29:40.7623728Z Testing custom script operators
2022-11-23T03:29:40.7624187Z + CUSTOM_OP_BUILD=/var/lib/jenkins/workspace/build/custom_test_artifacts/custom-op-build
2022-11-23T03:29:40.7624566Z + pushd test/custom_operator
2022-11-23T03:29:40.7624916Z ~/workspace/test/custom_operator ~/workspace
2022-11-23T03:29:40.7625387Z + cp -a /var/lib/jenkins/workspace/build/custom_test_artifacts/custom-op-build build
2022-11-23T03:29:40.7757819Z + python test_custom_ops.py -v
2022-11-23T03:29:43.0252738Z Test results will be stored in test-reports/python-unittest/test_custom_ops
2022-11-23T03:29:43.0271626Z 
2022-11-23T03:29:43.0272450Z Running tests...
2022-11-23T03:29:43.0273307Z ----------------------------------------------------------------------
2022-11-23T03:29:43.0339273Z   test_calling_custom_op (__main__.TestCustomOperators) ... ok (0.006s)
2022-11-23T03:29:43.1096665Z   test_calling_custom_op_inside_script_module (__main__.TestCustomOperators) ... ok (0.075s)
2022-11-23T03:29:43.1106363Z   test_calling_custom_op_string (__main__.TestCustomOperators) ... ok (0.001s)
2022-11-23T03:29:43.1143563Z   test_calling_custom_op_with_autograd (__main__.TestCustomOperators) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/engine.cpp:1127.)
2022-11-23T03:29:43.1145511Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T03:29:43.1165171Z ok (0.006s)
2022-11-23T03:29:43.1177629Z   test_calling_custom_op_with_autograd_in_nograd_mode (__main__.TestCustomOperators) ... ok (0.001s)
2022-11-23T03:29:43.1183164Z   test_custom_library_is_loaded (__main__.TestCustomOperators) ... ok (0.001s)
2022-11-23T03:29:43.1324242Z   test_saving_and_loading_script_module_with_custom_op (__main__.TestCustomOperators) ... ok (0.014s)
2022-11-23T03:29:43.1324848Z 
2022-11-23T03:29:43.1325583Z ----------------------------------------------------------------------
2022-11-23T03:29:43.1326164Z Ran 7 tests in 0.105s
2022-11-23T03:29:43.1326368Z 
2022-11-23T03:29:43.1326467Z OK
2022-11-23T03:29:43.1326615Z 
2022-11-23T03:29:43.1326856Z Generating XML reports...
2022-11-23T03:29:43.1376564Z Generated XML report: test-reports/python-unittest/test_custom_ops/TEST-TestCustomOperators-20221123032943.xml
2022-11-23T03:29:43.6904855Z + python model.py --export-script-module=model.pt
2022-11-23T03:29:46.1248646Z + build/test_custom_ops ./model.pt
2022-11-23T03:29:46.6600640Z [W engine.cpp:1127] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator())
2022-11-23T03:29:48.3197568Z ok
2022-11-23T03:29:48.5299882Z + popd
2022-11-23T03:29:48.5300250Z ~/workspace
2022-11-23T03:29:48.5300670Z + assert_git_not_dirty
2022-11-23T03:29:48.5301283Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *rocm* ]]
2022-11-23T03:29:48.5301829Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *xla* ]]
2022-11-23T03:29:48.5305589Z ++ git status --porcelain
2022-11-23T03:29:48.6652107Z + git_status=
2022-11-23T03:29:48.6652670Z + [[ -n '' ]]
2022-11-23T03:29:48.6652931Z + test_custom_backend
2022-11-23T03:29:48.6653357Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *asan* ]]
2022-11-23T03:29:48.6653729Z + echo 'Testing custom backends'
2022-11-23T03:29:48.6653955Z Testing custom backends
2022-11-23T03:29:48.6654425Z + CUSTOM_BACKEND_BUILD=/var/lib/jenkins/workspace/build/custom_test_artifacts/custom-backend-build
2022-11-23T03:29:48.6654829Z + pushd test/custom_backend
2022-11-23T03:29:48.6655134Z ~/workspace/test/custom_backend ~/workspace
2022-11-23T03:29:48.6655665Z + cp -a /var/lib/jenkins/workspace/build/custom_test_artifacts/custom-backend-build build
2022-11-23T03:29:48.6780869Z + python test_custom_backend.py -v
2022-11-23T03:29:50.9798918Z Test results will be stored in test-reports/python-unittest/test_custom_backend
2022-11-23T03:29:50.9818211Z 
2022-11-23T03:29:50.9818922Z Running tests...
2022-11-23T03:29:50.9819514Z ----------------------------------------------------------------------
2022-11-23T03:29:50.9826882Z   test_execute (__main__.TestCustomBackend)
2022-11-23T03:29:51.0748816Z Test execution using the custom backend. ... ok (0.093s)
2022-11-23T03:29:51.0760549Z   test_save_load (__main__.TestCustomBackend)
2022-11-23T03:29:51.1069738Z Test that a lowered module can be executed correctly ... ok (0.031s)
2022-11-23T03:29:51.1074015Z 
2022-11-23T03:29:51.1074599Z ----------------------------------------------------------------------
2022-11-23T03:29:51.1075450Z Ran 2 tests in 0.126s
2022-11-23T03:29:51.1075796Z 
2022-11-23T03:29:51.1075944Z OK
2022-11-23T03:29:51.1076132Z 
2022-11-23T03:29:51.1076730Z Generating XML reports...
2022-11-23T03:29:51.1130514Z Generated XML report: test-reports/python-unittest/test_custom_backend/TEST-TestCustomBackend-20221123032950.xml
2022-11-23T03:29:51.6789096Z + python backend.py --export-module-to=model.pt
2022-11-23T03:29:54.2202821Z + build/test_custom_backend ./model.pt
2022-11-23T03:29:54.7405806Z Testing custom_backend
2022-11-23T03:29:54.8701483Z OK
2022-11-23T03:29:54.9971360Z + rm -f ./model.pt
2022-11-23T03:29:54.9986011Z + popd
2022-11-23T03:29:54.9986273Z ~/workspace
2022-11-23T03:29:54.9986568Z + assert_git_not_dirty
2022-11-23T03:29:54.9987068Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *rocm* ]]
2022-11-23T03:29:54.9987534Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *xla* ]]
2022-11-23T03:29:54.9991188Z ++ git status --porcelain
2022-11-23T03:29:55.1343784Z + git_status=
2022-11-23T03:29:55.1344376Z + [[ -n '' ]]
2022-11-23T03:29:55.1344903Z + test_torch_function_benchmark
2022-11-23T03:29:55.1345310Z + echo 'Testing __torch_function__ benchmarks'
2022-11-23T03:29:55.1345609Z Testing __torch_function__ benchmarks
2022-11-23T03:29:55.1345943Z + pushd benchmarks/overrides_benchmark
2022-11-23T03:29:55.1346309Z ~/workspace/benchmarks/overrides_benchmark ~/workspace
2022-11-23T03:29:55.1346679Z + python bench.py -n 1 -m 2
2022-11-23T03:29:57.0797674Z Type tensor had a minimum time of 0.057697296142578125 us and a standard deviation of 12.744364328682423 us.
2022-11-23T03:29:57.0798658Z Type SubTensor had a minimum time of 0.03981590270996094 us and a standard deviation of 0.07181822729762644 us.
2022-11-23T03:29:57.0799784Z Type WithTorchFunction had a minimum time of 0.018835067749023438 us and a standard deviation of 0.04720447032013908 us.
2022-11-23T03:29:57.0802697Z Type SubWithTorchFunction had a minimum time of 0.031948089599609375 us and a standard deviation of 0.019387551219551824 us.
2022-11-23T03:29:57.5678044Z + python pyspybench.py Tensor -n 1
2022-11-23T03:29:59.9928964Z + python pyspybench.py SubTensor -n 1
2022-11-23T03:30:02.4386252Z + python pyspybench.py WithTorchFunction -n 1
2022-11-23T03:30:04.8749751Z + python pyspybench.py SubWithTorchFunction -n 1
2022-11-23T03:30:07.2638735Z + popd
2022-11-23T03:30:07.2639072Z ~/workspace
2022-11-23T03:30:07.2639347Z + assert_git_not_dirty
2022-11-23T03:30:07.2639977Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *rocm* ]]
2022-11-23T03:30:07.2640488Z + [[ linux-bionic-cuda11.6-py3.7-gcc7-debug != *xla* ]]
2022-11-23T03:30:07.2643287Z ++ git status --porcelain
2022-11-23T03:30:07.3989190Z + git_status=
2022-11-23T03:30:07.3989705Z + [[ -n '' ]]
2022-11-23T03:30:07.4076119Z Prepare all required actions
2022-11-23T03:30:07.4076517Z Getting action download info
2022-11-23T03:30:07.6234805Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2022-11-23T03:30:07.7644500Z ##[group]Run ./.github/actions/get-workflow-job-id
2022-11-23T03:30:07.7644831Z with:
2022-11-23T03:30:07.7645392Z   github-token: ***
2022-11-23T03:30:07.7645675Z env:
2022-11-23T03:30:07.7645924Z   GIT_DEFAULT_BRANCH: master
2022-11-23T03:30:07.7646186Z   GPU_FLAG: --gpus all
2022-11-23T03:30:07.7646561Z   DOCKER_CONTAINER_ID: 81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T03:30:07.7646918Z ##[endgroup]
2022-11-23T03:30:07.7683377Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2022-11-23T03:30:07.7683723Z with:
2022-11-23T03:30:07.7683954Z   shell: bash
2022-11-23T03:30:07.7684179Z   timeout_minutes: 10
2022-11-23T03:30:07.7684430Z   max_attempts: 5
2022-11-23T03:30:07.7684738Z   retry_wait_seconds: 30
2022-11-23T03:30:07.7685231Z   command: set -eux
python3 -m pip install requests==2.26.0
GHA_WORKFLOW_JOB_ID=$(python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}")
echo "job-id=${GHA_WORKFLOW_JOB_ID}" >> "${GITHUB_OUTPUT}"

2022-11-23T03:30:07.7685748Z   polling_interval_seconds: 1
2022-11-23T03:30:07.7686019Z   warning_on_retry: true
2022-11-23T03:30:07.7686482Z   continue_on_error: false
2022-11-23T03:30:07.7686706Z env:
2022-11-23T03:30:07.7686946Z   GIT_DEFAULT_BRANCH: master
2022-11-23T03:30:07.7687211Z   GPU_FLAG: --gpus all
2022-11-23T03:30:07.7687614Z   DOCKER_CONTAINER_ID: 81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T03:30:07.7688192Z   GITHUB_TOKEN: ***
2022-11-23T03:30:07.7688443Z ##[endgroup]
2022-11-23T03:30:07.8475198Z + python3 -m pip install requests==2.26.0
2022-11-23T03:30:08.1943904Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T03:30:08.3499846Z Collecting requests==2.26.0
2022-11-23T03:30:08.3722486Z   Downloading requests-2.26.0-py2.py3-none-any.whl (62 kB)
2022-11-23T03:30:08.4693697Z Collecting certifi>=2017.4.17
2022-11-23T03:30:08.4751692Z   Downloading certifi-2022.9.24-py3-none-any.whl (161 kB)
2022-11-23T03:30:08.5297451Z Collecting idna<4,>=2.5; python_version >= "3"
2022-11-23T03:30:08.5356753Z   Downloading idna-3.4-py3-none-any.whl (61 kB)
2022-11-23T03:30:08.6488620Z Collecting urllib3<1.27,>=1.21.1
2022-11-23T03:30:08.6552682Z   Downloading urllib3-1.26.12-py2.py3-none-any.whl (140 kB)
2022-11-23T03:30:08.8864536Z Collecting charset-normalizer~=2.0.0; python_version >= "3"
2022-11-23T03:30:08.8942765Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2022-11-23T03:30:08.9951799Z Installing collected packages: certifi, idna, urllib3, charset-normalizer, requests
2022-11-23T03:30:09.2498078Z   WARNING: The script normalizer is installed in '/home/ec2-user/.local/bin' which is not on PATH.
2022-11-23T03:30:09.2498836Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-11-23T03:30:09.3113827Z Successfully installed certifi-2022.9.24 charset-normalizer-2.0.12 idna-3.4 requests-2.26.0 urllib3-1.26.12
2022-11-23T03:30:09.4043642Z ++ python3 .github/scripts/get_workflow_job_id.py 3528394938 i-0bed01032a9738570
2022-11-23T03:30:13.2205523Z + GHA_WORKFLOW_JOB_ID=9655481588
2022-11-23T03:30:13.2206163Z + echo job-id=9655481588
2022-11-23T03:30:13.8501039Z Command completed after 1 attempt(s).
2022-11-23T03:30:13.8659663Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2022-11-23T03:30:13.8660039Z kill "$MONITOR_SCRIPT_PID"
2022-11-23T03:30:13.8674751Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T03:30:13.8675054Z env:
2022-11-23T03:30:13.8675303Z   GIT_DEFAULT_BRANCH: master
2022-11-23T03:30:13.8675555Z   GPU_FLAG: --gpus all
2022-11-23T03:30:13.8675918Z   DOCKER_CONTAINER_ID: 81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T03:30:13.8676290Z   MONITOR_SCRIPT_PID: 58175
2022-11-23T03:30:13.8676531Z ##[endgroup]
2022-11-23T03:30:13.8794523Z Prepare all required actions
2022-11-23T03:30:13.8794996Z Getting action download info
2022-11-23T03:30:14.0610367Z Download action repository 'actions/upload-artifact@v3' (SHA:83fd05a356d7e2593de66fc9913b3002723633cb)
2022-11-23T03:30:14.2330736Z ##[group]Run ./.github/actions/upload-test-artifacts
2022-11-23T03:30:14.2331082Z with:
2022-11-23T03:30:14.2331433Z   file-suffix: test-default-2-4-linux.4xlarge.nvidia.gpu_9655481588
2022-11-23T03:30:14.2331749Z env:
2022-11-23T03:30:14.2331993Z   GIT_DEFAULT_BRANCH: master
2022-11-23T03:30:14.2332269Z   GPU_FLAG: --gpus all
2022-11-23T03:30:14.2332635Z   DOCKER_CONTAINER_ID: 81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T03:30:14.2332970Z ##[endgroup]
2022-11-23T03:30:14.2370297Z ##[group]Run # Remove any previous test jsons if they exist
2022-11-23T03:30:14.2370687Z # Remove any previous test jsons if they exist
2022-11-23T03:30:14.2371011Z rm -f test-jsons-*.zip
2022-11-23T03:30:14.2371410Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test -i '*.json'
2022-11-23T03:30:14.2387275Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T03:30:14.2387597Z env:
2022-11-23T03:30:14.2387855Z   GIT_DEFAULT_BRANCH: master
2022-11-23T03:30:14.2388114Z   GPU_FLAG: --gpus all
2022-11-23T03:30:14.2388686Z   DOCKER_CONTAINER_ID: 81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T03:30:14.2389155Z   FILE_SUFFIX: test-default-2-4-linux.4xlarge.nvidia.gpu_9655481588
2022-11-23T03:30:14.2389478Z ##[endgroup]
2022-11-23T03:30:14.2582662Z   adding: test/allowlist_for_publicAPI.json (deflated 79%)
2022-11-23T03:30:14.2618310Z   adding: test/benchmark_utils/callgrind_artifacts.json (deflated 92%)
2022-11-23T03:30:14.2625917Z   adding: test/profiler/profiler_utils_mock_events.json (deflated 87%)
2022-11-23T03:30:14.2628050Z   adding: test/.pytorch-slow-tests.json (deflated 73%)
2022-11-23T03:30:14.2638942Z   adding: test/.pytorch-disabled-tests.json (deflated 86%)
2022-11-23T03:30:14.2671635Z ##[group]Run # Remove any previous test reports if they exist
2022-11-23T03:30:14.2672059Z # Remove any previous test reports if they exist
2022-11-23T03:30:14.2672401Z rm -f test-reports-*.zip
2022-11-23T03:30:14.2672772Z zip -r "test-reports-${FILE_SUFFIX}.zip" test -i '*.xml' -i '*.csv'
2022-11-23T03:30:14.2691459Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T03:30:14.2691787Z env:
2022-11-23T03:30:14.2692054Z   GIT_DEFAULT_BRANCH: master
2022-11-23T03:30:14.2692325Z   GPU_FLAG: --gpus all
2022-11-23T03:30:14.2692707Z   DOCKER_CONTAINER_ID: 81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T03:30:14.2693177Z   FILE_SUFFIX: test-default-2-4-linux.4xlarge.nvidia.gpu_9655481588
2022-11-23T03:30:14.2693532Z ##[endgroup]
2022-11-23T03:30:14.2841706Z   adding: test/custom_backend/test-reports/python-unittest/test_custom_backend/TEST-TestCustomBackend-20221123032950.xml (deflated 56%)
2022-11-23T03:30:14.2842626Z   adding: test/custom_operator/test-reports/python-unittest/test_custom_ops/TEST-TestCustomOperators-20221123032943.xml (deflated 65%)
2022-11-23T03:30:14.2843373Z   adding: test/test-reports/python-unittest/inductor.test_minifier/TEST-MinifierTests-20221123014723.xml (deflated 84%)
2022-11-23T03:30:14.2844121Z   adding: test/test-reports/python-unittest/lazy.test_debug_util/TEST-DebugUtilTest-20221123014910.xml (deflated 39%)
2022-11-23T03:30:14.2855689Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-CPUReproTests-20221123014934.xml (deflated 88%)
2022-11-23T03:30:14.3444842Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-CpuTests-20221123014934.xml (deflated 94%)
2022-11-23T03:30:14.3497494Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-SweepInputsCpuTest-20221123014934.xml (deflated 96%)
2022-11-23T03:30:14.3498699Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-TestIndexingSimplification-20221123014934.xml (deflated 57%)
2022-11-23T03:30:14.3500800Z   adding: test/test-reports/python-unittest/test_masked/TEST-TestMaskedCUDA-20221123020446.xml (deflated 96%)
2022-11-23T03:30:14.3501868Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestAssert-20221123020547.xml (deflated 53%)
2022-11-23T03:30:14.3502782Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestCheckpoint-20221123020547.xml (deflated 78%)
2022-11-23T03:30:14.3503938Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestCppExtensionUtils-20221123020547.xml (deflated 54%)
2022-11-23T03:30:14.3505041Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestDataLoaderUtils-20221123020547.xml (deflated 68%)
2022-11-23T03:30:14.3506042Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestExtensionUtils-20221123020547.xml (deflated 40%)
2022-11-23T03:30:14.3506794Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestHipify-20221123020547.xml (deflated 38%)
2022-11-23T03:30:14.3507449Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestONNXUtils-20221123020547.xml (deflated 51%)
2022-11-23T03:30:14.3508139Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestStandaloneCPPJIT-20221123020547.xml (deflated 40%)
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2022-11-23T03:30:14.3771283Z   adding: test/test-reports/python-unittest/test_datapipe/TEST-TestSerialization-20221123022957.xml (deflated 59%)
2022-11-23T03:30:14.3772461Z   adding: test/test-reports/python-unittest/dynamo.test_global/TEST-TestGlobals-20221123023006.xml (deflated 85%)
2022-11-23T03:30:14.3773212Z   adding: test/test-reports/python-unittest/dynamo.test_skip_non_tensor/TEST-SkipNonTensorTests-20221123023015.xml (deflated 79%)
2022-11-23T03:30:14.3774147Z   adding: test/test-reports/python-unittest/test_fx_passes/TEST-TestFXGraphPasses-20221123023026.xml (deflated 91%)
2022-11-23T03:30:14.3775098Z   adding: test/test-reports/python-unittest/test_fx_passes/TEST-TestFXMatcherUtils-20221123023026.xml (deflated 87%)
2022-11-23T03:30:14.3775961Z   adding: test/test-reports/python-unittest/nn.test_packed_sequence/TEST-PackedSequenceTest-20221123023033.xml (deflated 81%)
2022-11-23T03:30:14.3777148Z   adding: test/test-reports/python-unittest/test_dynamic_shapes/TEST-TestPySymInt-20221123023041.xml (deflated 84%)
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2022-11-23T03:30:14.3779738Z   adding: test/test-reports/python-unittest/test_function_schema/TEST-TestFunctionSchema-20221123023059.xml (deflated 82%)
2022-11-23T03:30:14.3780407Z   adding: test/test-reports/python-unittest/dynamo.test_nops/TEST-NopTests-20221123023108.xml (deflated 65%)
2022-11-23T03:30:14.3781055Z   adding: test/test-reports/python-unittest/test_type_info/TEST-TestDTypeInfo-20221123023117.xml (deflated 61%)
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2022-11-23T03:30:14.3783031Z   adding: test/test-reports/python-unittest/test_namedtensor/TEST-TestNamedTensor-20221123023144.xml (deflated 87%)
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2022-11-23T03:30:14.3785545Z   adding: test/test-reports/python-unittest/nn.test_dropout/TEST-TestDropoutNN-20221123023208.xml (deflated 67%)
2022-11-23T03:30:14.3786252Z   adding: test/test-reports/python-unittest/nn.test_dropout/TEST-TestDropoutNNDeviceTypeCUDA-20221123023208.xml (deflated 73%)
2022-11-23T03:30:14.3787698Z   adding: test/test-reports/python-unittest/test_native_mha/TEST-TestMHADeviceTypeCUDA-20221123023217.xml (deflated 94%)
2022-11-23T03:30:14.3788804Z   adding: test/test-reports/python-unittest/test_scatter_gather_ops/TEST-TestScatterGatherCUDA-20221123023227.xml (deflated 92%)
2022-11-23T03:30:14.3789586Z   adding: test/test-reports/python-unittest/test_jit_llga_fuser/TEST-TestEnableDisableLlgaFuser-20221123023242.xml (deflated 41%)
2022-11-23T03:30:14.3790328Z   adding: test/test-reports/python-unittest/test_jit_llga_fuser/TEST-TestDynamoAOT-20221123023242.xml (deflated 41%)
2022-11-23T03:30:14.3791251Z   adding: test/test-reports/python-unittest/test_jit_llga_fuser/TEST-TestFusionPatternCUDA-20221123023242.xml (deflated 92%)
2022-11-23T03:30:14.3792723Z   adding: test/test-reports/python-unittest/test_jit_llga_fuser/TEST-TestModel-20221123023242.xml (deflated 96%)
2022-11-23T03:30:14.3793798Z   adding: test/test-reports/python-unittest/test_jit_llga_fuser/TEST-TestOpCUDA-20221123023242.xml (deflated 93%)
2022-11-23T03:30:14.3794495Z   adding: test/test-reports/python-unittest/dynamo.test_replay_record/TEST-ReplayRecordTests-20221123023249.xml (deflated 81%)
2022-11-23T03:30:14.3862183Z   adding: test/test-reports/python-unittest/test_reductions/TEST-TestReductionsCUDA-20221123030521.xml (deflated 97%)
2022-11-23T03:30:14.3863876Z   adding: test/test-reports/python-unittest/test_multiprocessing/TEST-TestMultiprocessing-20221123030647.xml (deflated 86%)
2022-11-23T03:30:14.3864685Z   adding: test/test-reports/python-unittest/distributions.test_distributions/TEST-TestAgainstScipy-20221123030809.xml (deflated 62%)
2022-11-23T03:30:14.3866006Z   adding: test/test-reports/python-unittest/distributions.test_distributions/TEST-TestConstraints-20221123030809.xml (deflated 56%)
2022-11-23T03:30:14.3866821Z   adding: test/test-reports/python-unittest/distributions.test_distributions/TEST-TestDistributionShapes-20221123030809.xml (deflated 91%)
2022-11-23T03:30:14.3869470Z   adding: test/test-reports/python-unittest/distributions.test_distributions/TEST-TestDistributions-20221123030809.xml (deflated 91%)
2022-11-23T03:30:14.3870640Z   adding: test/test-reports/python-unittest/distributions.test_distributions/TEST-TestFunctors-20221123030809.xml (deflated 69%)
2022-11-23T03:30:14.3871948Z   adding: test/test-reports/python-unittest/distributions.test_distributions/TEST-TestJit-20221123030809.xml (deflated 73%)
2022-11-23T03:30:14.3873086Z   adding: test/test-reports/python-unittest/distributions.test_distributions/TEST-TestKL-20221123030809.xml (deflated 82%)
2022-11-23T03:30:14.3874153Z   adding: test/test-reports/python-unittest/distributions.test_distributions/TEST-TestLazyLogitsInitialization-20221123030809.xml (deflated 58%)
2022-11-23T03:30:14.3874986Z   adding: test/test-reports/python-unittest/distributions.test_distributions/TEST-TestNumericalStability-20221123030809.xml (deflated 83%)
2022-11-23T03:30:14.3875747Z   adding: test/test-reports/python-unittest/distributions.test_distributions/TEST-TestRsample-20221123030809.xml (deflated 76%)
2022-11-23T03:30:14.3876470Z   adding: test/test-reports/python-unittest/distributions.test_distributions/TEST-TestValidation-20221123030809.xml (deflated 67%)
2022-11-23T03:30:14.3877216Z   adding: test/test-reports/python-unittest/test_autograd/TEST-TestAllowMutationOnSaved-20221123030920.xml (deflated 80%)
2022-11-23T03:30:14.3887577Z   adding: test/test-reports/python-unittest/test_autograd/TEST-TestAutograd-20221123030920.xml (deflated 86%)
2022-11-23T03:30:14.3888349Z   adding: test/test-reports/python-unittest/test_autograd/TEST-autograd.test_complex.TestAutogradComplex-20221123030920.xml (deflated 60%)
2022-11-23T03:30:14.3890065Z   adding: test/test-reports/python-unittest/test_autograd/TEST-TestAutogradDeviceTypeCUDA-20221123030920.xml (deflated 84%)
2022-11-23T03:30:14.3891329Z   adding: test/test-reports/python-unittest/test_autograd/TEST-TestAutogradForwardMode-20221123030920.xml (deflated 82%)
2022-11-23T03:30:14.3892133Z   adding: test/test-reports/python-unittest/test_autograd/TEST-TestAutogradForwardModeBatchedGrad-20221123030920.xml (deflated 72%)
2022-11-23T03:30:14.3895185Z   adding: test/test-reports/python-unittest/test_autograd/TEST-autograd.test_functional.TestAutogradFunctional-20221123030920.xml (deflated 94%)
2022-11-23T03:30:14.3896666Z   adding: test/test-reports/python-unittest/test_autograd/TEST-TestAutogradInferenceMode-20221123030920.xml (deflated 87%)
2022-11-23T03:30:14.3897465Z   adding: test/test-reports/python-unittest/test_autograd/TEST-TestAutogradMultipleDispatchCUDA-20221123030920.xml (deflated 72%)
2022-11-23T03:30:14.3898246Z   adding: test/test-reports/python-unittest/test_autograd/TEST-TestMultithreadAutograd-20221123030920.xml (deflated 76%)
2022-11-23T03:30:14.3928490Z   adding: test/test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRCUDA-20221123031009.xml (deflated 96%)
2022-11-23T03:30:14.3929287Z   adding: test/test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRSampler-20221123031009.xml (deflated 40%)
2022-11-23T03:30:14.3969938Z   adding: test/test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCompressedCUDA-20221123031009.xml (deflated 98%)
2022-11-23T03:30:14.3971011Z   adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConstHandling-20221123031424.xml (deflated 72%)
2022-11-23T03:30:14.3972205Z   adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConverterTest-20221123031424.xml (deflated 73%)
2022-11-23T03:30:14.3973527Z   adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorOperatorInvariants-20221123031424.xml (deflated 60%)
2022-11-23T03:30:14.3974521Z   adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorPropTest-20221123031424.xml (deflated 40%)
2022-11-23T03:30:14.3975518Z   adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorTest-20221123031424.xml (deflated 82%)
2022-11-23T03:30:14.3976707Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestAddRelu-20221123031438.xml (deflated 52%)
2022-11-23T03:30:14.3977325Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestConstantPadNd-20221123031438.xml (deflated 54%)
2022-11-23T03:30:14.3978255Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestFunctionalPickle-20221123031438.xml (deflated 41%)
2022-11-23T03:30:14.3978902Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestFusionEval-20221123031438.xml (deflated 39%)
2022-11-23T03:30:14.3979556Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestFusionUtils-20221123031438.xml (deflated 54%)
2022-11-23T03:30:14.3980237Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestModuleGlobalHooks-20221123031438.xml (deflated 70%)
2022-11-23T03:30:14.4026746Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestNN-20221123031438.xml (deflated 94%)
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2022-11-23T03:30:14.4034699Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestNNInit-20221123031438.xml (deflated 84%)
2022-11-23T03:30:14.4035836Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestStateDictHooks-20221123031438.xml (deflated 74%)
2022-11-23T03:30:14.4037033Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestBroadcastAllOverride-20221123031921.xml (deflated 42%)
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2022-11-23T03:30:14.4042115Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestIndexing-20221123031921.xml (deflated 73%)
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2022-11-23T03:30:14.4066244Z   adding: test/test-reports/python-unittest/test_torch/TEST-TestBasicVitalSigns-20221123032016.xml (deflated 62%)
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2022-11-23T03:30:14.4087291Z   adding: test/test-reports/python-unittest/test_torch/TEST-TestVitalSignsCudaCUDA-20221123032016.xml (deflated 40%)
2022-11-23T03:30:14.4088269Z   adding: test/test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestCppExtensionAOT-20221123032607.xml (deflated 78%)
2022-11-23T03:30:14.4089002Z   adding: test/test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestORTTensor-20221123032607.xml (deflated 67%)
2022-11-23T03:30:14.4089736Z   adding: test/test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestRNGExtension-20221123032607.xml (deflated 40%)
2022-11-23T03:30:14.4090463Z   adding: test/test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestTorchLibrary-20221123032607.xml (deflated 40%)
2022-11-23T03:30:14.4114815Z   adding: test/test-reports/python-pytest/test_ops_jit/test_ops_jit-c6045c8861265b0f.xml (deflated 93%)
2022-11-23T03:30:14.4115470Z   adding: test/test-reports/python-pytest/test_ops_jit/test_ops_jit-f8611144e6bb275e.xml (deflated 66%)
2022-11-23T03:30:14.4158633Z   adding: test/test-reports/cpp-unittest/test_libtorch/test_jit.xml (deflated 96%)
2022-11-23T03:30:14.4169039Z   adding: test/test-reports/cpp-unittest/test_libtorch/test_lazy.xml (deflated 93%)
2022-11-23T03:30:14.4193853Z   adding: test/test-reports/cpp-unittest/test_libtorch/test_api.xml (deflated 92%)
2022-11-23T03:30:14.4212637Z   adding: test/test-reports/cpp-unittest/test_libtorch/test_tensorexpr.xml (deflated 92%)
2022-11-23T03:30:14.4213274Z   adding: test/test-reports/cpp-unittest/test_aot_compilation/test_mobile_nnc.xml (deflated 75%)
2022-11-23T03:30:14.4245119Z ##[group]Run # Remove any previous test reports if they exist
2022-11-23T03:30:14.4245590Z # Remove any previous test reports if they exist
2022-11-23T03:30:14.4245921Z rm -f usage-log-*.zip
2022-11-23T03:30:14.4246297Z # this workflow is also run in bazel build test, but we dont generate usage reports for it
2022-11-23T03:30:14.4246689Z # so check to see if the file exists first
2022-11-23T03:30:14.4246980Z if [ -f 'usage_log.txt' ]; then
2022-11-23T03:30:14.4247313Z     zip "usage-log-${FILE_SUFFIX}.zip" 'usage_log.txt'
2022-11-23T03:30:14.4247607Z fi
2022-11-23T03:30:14.4263297Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T03:30:14.4263613Z env:
2022-11-23T03:30:14.4263902Z   GIT_DEFAULT_BRANCH: master
2022-11-23T03:30:14.4264313Z   GPU_FLAG: --gpus all
2022-11-23T03:30:14.4264693Z   DOCKER_CONTAINER_ID: 81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T03:30:14.4265161Z   FILE_SUFFIX: test-default-2-4-linux.4xlarge.nvidia.gpu_9655481588
2022-11-23T03:30:14.4265489Z ##[endgroup]
2022-11-23T03:30:14.5122541Z   adding: usage_log.txt (deflated 98%)
2022-11-23T03:30:14.5179043Z ##[group]Run seemethere/upload-artifact-s3@v5
2022-11-23T03:30:14.5179365Z with:
2022-11-23T03:30:14.5179631Z   s3-prefix: pytorch/pytorch/3528394938/1/artifact

2022-11-23T03:30:14.5179933Z   retention-days: 14
2022-11-23T03:30:14.5180205Z   if-no-files-found: warn
2022-11-23T03:30:14.5180463Z   path: test-jsons-*.zip
2022-11-23T03:30:14.5180717Z   name: artifact
2022-11-23T03:30:14.5180972Z   s3-bucket: gha-artifacts
2022-11-23T03:30:14.5181219Z   region: us-east-1
2022-11-23T03:30:14.5181448Z env:
2022-11-23T03:30:14.5181688Z   GIT_DEFAULT_BRANCH: master
2022-11-23T03:30:14.5181935Z   GPU_FLAG: --gpus all
2022-11-23T03:30:14.5182308Z   DOCKER_CONTAINER_ID: 81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T03:30:14.5182653Z ##[endgroup]
2022-11-23T03:30:15.0435552Z NOTE: s3-prefix specified, ignoring name parameter
2022-11-23T03:30:15.0436279Z With the provided path, there will be 1 file uploaded
2022-11-23T03:30:15.0436666Z Uploading to s3 prefix: pytorch/pytorch/3528394938/1/artifact
2022-11-23T03:30:15.0449860Z Starting upload of test-jsons-test-default-2-4-linux.4xlarge.nvidia.gpu_9655481588.zip
2022-11-23T03:30:15.1729836Z Finished upload of test-jsons-test-default-2-4-linux.4xlarge.nvidia.gpu_9655481588.zip
2022-11-23T03:30:15.1970496Z ##[group]Run seemethere/upload-artifact-s3@v5
2022-11-23T03:30:15.1970817Z with:
2022-11-23T03:30:15.1971089Z   s3-prefix: pytorch/pytorch/3528394938/1/artifact

2022-11-23T03:30:15.1971395Z   retention-days: 14
2022-11-23T03:30:15.1971674Z   if-no-files-found: error
2022-11-23T03:30:15.1971938Z   path: test-reports-*.zip
2022-11-23T03:30:15.1972197Z   name: artifact
2022-11-23T03:30:15.1972465Z   s3-bucket: gha-artifacts
2022-11-23T03:30:15.1972712Z   region: us-east-1
2022-11-23T03:30:15.1972943Z env:
2022-11-23T03:30:15.1973183Z   GIT_DEFAULT_BRANCH: master
2022-11-23T03:30:15.1973431Z   GPU_FLAG: --gpus all
2022-11-23T03:30:15.1973795Z   DOCKER_CONTAINER_ID: 81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T03:30:15.1974160Z ##[endgroup]
2022-11-23T03:30:15.7231510Z NOTE: s3-prefix specified, ignoring name parameter
2022-11-23T03:30:15.7232246Z With the provided path, there will be 1 file uploaded
2022-11-23T03:30:15.7232628Z Uploading to s3 prefix: pytorch/pytorch/3528394938/1/artifact
2022-11-23T03:30:15.7245130Z Starting upload of test-reports-test-default-2-4-linux.4xlarge.nvidia.gpu_9655481588.zip
2022-11-23T03:30:15.9392157Z Finished upload of test-reports-test-default-2-4-linux.4xlarge.nvidia.gpu_9655481588.zip
2022-11-23T03:30:15.9599541Z ##[group]Run seemethere/upload-artifact-s3@v5
2022-11-23T03:30:15.9599868Z with:
2022-11-23T03:30:15.9600152Z   s3-prefix: pytorch/pytorch/3528394938/1/artifact

2022-11-23T03:30:15.9600452Z   retention-days: 14
2022-11-23T03:30:15.9600728Z   if-no-files-found: ignore
2022-11-23T03:30:15.9600987Z   path: usage-log-*.zip
2022-11-23T03:30:15.9601242Z   name: artifact
2022-11-23T03:30:15.9601496Z   s3-bucket: gha-artifacts
2022-11-23T03:30:15.9601743Z   region: us-east-1
2022-11-23T03:30:15.9601997Z env:
2022-11-23T03:30:15.9602243Z   GIT_DEFAULT_BRANCH: master
2022-11-23T03:30:15.9602490Z   GPU_FLAG: --gpus all
2022-11-23T03:30:15.9602853Z   DOCKER_CONTAINER_ID: 81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T03:30:15.9603203Z ##[endgroup]
2022-11-23T03:30:16.4790801Z NOTE: s3-prefix specified, ignoring name parameter
2022-11-23T03:30:16.4791273Z With the provided path, there will be 1 file uploaded
2022-11-23T03:30:16.4791647Z Uploading to s3 prefix: pytorch/pytorch/3528394938/1/artifact
2022-11-23T03:30:16.4804044Z Starting upload of usage-log-test-default-2-4-linux.4xlarge.nvidia.gpu_9655481588.zip
2022-11-23T03:30:16.6700802Z Finished upload of usage-log-test-default-2-4-linux.4xlarge.nvidia.gpu_9655481588.zip
2022-11-23T03:30:16.6905532Z ##[group]Run # shellcheck disable=SC2156
2022-11-23T03:30:16.6905917Z # shellcheck disable=SC2156
2022-11-23T03:30:16.6906316Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2022-11-23T03:30:16.6921521Z shell: /usr/bin/bash -e {0}
2022-11-23T03:30:16.6921797Z env:
2022-11-23T03:30:16.6922029Z   GIT_DEFAULT_BRANCH: master
2022-11-23T03:30:16.6922302Z   GPU_FLAG: --gpus all
2022-11-23T03:30:16.6922670Z   DOCKER_CONTAINER_ID: 81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T03:30:16.6923003Z ##[endgroup]
2022-11-23T03:30:17.0282727Z ##[group]Run set -x
2022-11-23T03:30:17.0283056Z set -x
2022-11-23T03:30:17.0283342Z python3 -m pip install -r requirements.txt
2022-11-23T03:30:17.0283685Z python3 -m pip install boto3==1.19.12
2022-11-23T03:30:17.0284082Z python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test
2022-11-23T03:30:17.0299471Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T03:30:17.0299782Z env:
2022-11-23T03:30:17.0300027Z   GIT_DEFAULT_BRANCH: master
2022-11-23T03:30:17.0300300Z   GPU_FLAG: --gpus all
2022-11-23T03:30:17.0300809Z   DOCKER_CONTAINER_ID: 81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T03:30:17.0301177Z   AWS_DEFAULT_REGION: us-east-1
2022-11-23T03:30:17.0301442Z   BRANCH: master
2022-11-23T03:30:17.0301669Z   TEST_CONFIG: default
2022-11-23T03:30:17.0301914Z   SHARD_NUMBER: 2
2022-11-23T03:30:17.0302249Z   BUILD_ENVIRONMENT: linux-bionic-cuda11.6-py3.7-gcc7-debug
2022-11-23T03:30:17.0302616Z   PR_NUMBER: 
2022-11-23T03:30:17.0302878Z   PYTORCH_RETRY_TEST_CASES: 1
2022-11-23T03:30:17.0303148Z   PYTORCH_OVERRIDE_FLAKY_SIGNAL: 1
2022-11-23T03:30:17.0303458Z   SHA1: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T03:30:17.0303724Z   TAG: 
2022-11-23T03:30:17.0303939Z   WORKFLOW_ID: 3528394938
2022-11-23T03:30:17.0304427Z   GITHUB_TOKEN: ***
2022-11-23T03:30:17.0304710Z   GHA_WORKFLOW_JOB_ID: 9655481588
2022-11-23T03:30:17.0304933Z ##[endgroup]
2022-11-23T03:30:17.0342449Z + python3 -m pip install -r requirements.txt
2022-11-23T03:30:17.3818293Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T03:30:17.4841764Z Collecting astunparse
2022-11-23T03:30:17.5052814Z   Downloading astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
2022-11-23T03:30:17.5473548Z Collecting expecttest
2022-11-23T03:30:17.5531140Z   Downloading expecttest-0.1.4-py3-none-any.whl (6.5 kB)
2022-11-23T03:30:17.6001835Z Collecting future
2022-11-23T03:30:17.6065331Z   Downloading future-0.18.2.tar.gz (829 kB)
2022-11-23T03:30:19.7551643Z Collecting hypothesis
2022-11-23T03:30:19.7640179Z   Downloading hypothesis-6.58.0-py3-none-any.whl (396 kB)
2022-11-23T03:30:20.6650142Z Collecting numpy
2022-11-23T03:30:20.6818108Z   Downloading numpy-1.21.6-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (15.7 MB)
2022-11-23T03:30:21.0405952Z Requirement already satisfied: psutil in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (5.9.1)
2022-11-23T03:30:21.1710462Z Collecting pyyaml
2022-11-23T03:30:21.1809403Z   Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB)
2022-11-23T03:30:21.2067869Z Requirement already satisfied: requests in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 9)) (2.26.0)
2022-11-23T03:30:21.2284544Z Requirement already satisfied: setuptools in /usr/lib/python3.7/site-packages (from -r requirements.txt (line 10)) (49.1.3)
2022-11-23T03:30:21.3002645Z Collecting six
2022-11-23T03:30:21.3122648Z   Downloading six-1.16.0-py2.py3-none-any.whl (11 kB)
2022-11-23T03:30:21.3559725Z Collecting types-dataclasses
2022-11-23T03:30:21.3657470Z   Downloading types_dataclasses-0.6.6-py3-none-any.whl (2.9 kB)
2022-11-23T03:30:21.4200313Z Collecting typing_extensions
2022-11-23T03:30:21.4256799Z   Downloading typing_extensions-4.4.0-py3-none-any.whl (26 kB)
2022-11-23T03:30:21.4929791Z Collecting sympy
2022-11-23T03:30:21.5022119Z   Downloading sympy-1.10.1-py3-none-any.whl (6.4 MB)
2022-11-23T03:30:21.7364174Z Collecting filelock
2022-11-23T03:30:21.7420315Z   Downloading filelock-3.8.0-py3-none-any.whl (10 kB)
2022-11-23T03:30:21.8500208Z Collecting networkx
2022-11-23T03:30:21.8638728Z   Downloading networkx-2.6.3-py3-none-any.whl (1.9 MB)
2022-11-23T03:30:22.0156582Z Collecting jinja2
2022-11-23T03:30:22.0214436Z   Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB)
2022-11-23T03:30:22.1331400Z Collecting wheel<1.0,>=0.23.0
2022-11-23T03:30:22.1388520Z   Downloading wheel-0.38.4-py3-none-any.whl (36 kB)
2022-11-23T03:30:22.2052557Z Collecting exceptiongroup>=1.0.0; python_version < "3.11"
2022-11-23T03:30:22.2110621Z   Downloading exceptiongroup-1.0.4-py3-none-any.whl (14 kB)
2022-11-23T03:30:22.3191480Z Collecting sortedcontainers<3.0.0,>=2.1.0
2022-11-23T03:30:22.3247986Z   Downloading sortedcontainers-2.4.0-py2.py3-none-any.whl (29 kB)
2022-11-23T03:30:22.3941281Z Collecting attrs>=19.2.0
2022-11-23T03:30:22.4003452Z   Downloading attrs-22.1.0-py2.py3-none-any.whl (58 kB)
2022-11-23T03:30:22.4550565Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (1.26.12)
2022-11-23T03:30:22.4813594Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (2.0.12)
2022-11-23T03:30:22.4850454Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (2022.9.24)
2022-11-23T03:30:22.4863542Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (3.4)
2022-11-23T03:30:22.5197463Z Collecting mpmath>=0.19
2022-11-23T03:30:22.5286895Z   Downloading mpmath-1.2.1-py3-none-any.whl (532 kB)
2022-11-23T03:30:22.6997133Z Collecting MarkupSafe>=2.0
2022-11-23T03:30:22.7056636Z   Downloading MarkupSafe-2.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25 kB)
2022-11-23T03:30:22.7181964Z Using legacy 'setup.py install' for future, since package 'wheel' is not installed.
2022-11-23T03:30:22.9538601Z Installing collected packages: six, wheel, astunparse, expecttest, future, exceptiongroup, sortedcontainers, attrs, hypothesis, numpy, pyyaml, types-dataclasses, typing-extensions, mpmath, sympy, filelock, networkx, MarkupSafe, jinja2
2022-11-23T03:30:23.0044391Z   WARNING: The script wheel is installed in '/home/ec2-user/.local/bin' which is not on PATH.
2022-11-23T03:30:23.0045138Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-11-23T03:30:23.0662854Z     Running setup.py install for future: started
2022-11-23T03:30:23.9386735Z     Running setup.py install for future: finished with status 'done'
2022-11-23T03:30:24.3298448Z   WARNING: The script hypothesis is installed in '/home/ec2-user/.local/bin' which is not on PATH.
2022-11-23T03:30:24.3299162Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-11-23T03:30:26.7664208Z   WARNING: The scripts f2py, f2py3 and f2py3.7 are installed in '/home/ec2-user/.local/bin' which is not on PATH.
2022-11-23T03:30:26.7664939Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-11-23T03:30:38.0286714Z   WARNING: The script isympy is installed in '/home/ec2-user/.local/bin' which is not on PATH.
2022-11-23T03:30:38.0287468Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-11-23T03:30:39.5126253Z Successfully installed MarkupSafe-2.1.1 astunparse-1.6.3 attrs-22.1.0 exceptiongroup-1.0.4 expecttest-0.1.4 filelock-3.8.0 future-0.18.2 hypothesis-6.58.0 jinja2-3.1.2 mpmath-1.2.1 networkx-2.6.3 numpy-1.21.6 pyyaml-6.0 six-1.16.0 sortedcontainers-2.4.0 sympy-1.10.1 types-dataclasses-0.6.6 typing-extensions-4.4.0 wheel-0.38.4
2022-11-23T03:30:39.6433222Z + python3 -m pip install boto3==1.19.12
2022-11-23T03:30:39.9895463Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T03:30:41.0267695Z Collecting boto3==1.19.12
2022-11-23T03:30:41.0491701Z   Downloading boto3-1.19.12-py3-none-any.whl (131 kB)
2022-11-23T03:30:41.1167927Z Collecting jmespath<1.0.0,>=0.7.1
2022-11-23T03:30:41.1222601Z   Downloading jmespath-0.10.0-py2.py3-none-any.whl (24 kB)
2022-11-23T03:30:41.1836695Z Collecting s3transfer<0.6.0,>=0.5.0
2022-11-23T03:30:41.1892328Z   Downloading s3transfer-0.5.2-py3-none-any.whl (79 kB)
2022-11-23T03:30:42.4264563Z Collecting botocore<1.23.0,>=1.22.12
2022-11-23T03:30:42.4359446Z   Downloading botocore-1.22.12-py3-none-any.whl (8.1 MB)
2022-11-23T03:30:42.6405417Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.26.12)
2022-11-23T03:30:42.7212729Z Collecting python-dateutil<3.0.0,>=2.1
2022-11-23T03:30:42.7270830Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2022-11-23T03:30:42.7497825Z Requirement already satisfied: six>=1.5 in /home/ec2-user/.local/lib/python3.7/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.16.0)
2022-11-23T03:30:42.9868984Z Installing collected packages: jmespath, python-dateutil, botocore, s3transfer, boto3
2022-11-23T03:30:43.9929640Z Successfully installed boto3-1.19.12 botocore-1.22.12 jmespath-0.10.0 python-dateutil-2.8.2 s3transfer-0.5.2
2022-11-23T03:30:44.0962223Z + python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test
2022-11-23T03:31:01.8293723Z [scribe] Scribe access token not provided, sending report via boto3...
2022-11-23T03:31:01.8294041Z 
2022-11-23T03:31:01.8297471Z ----- Historic stats comparison result ------
2022-11-23T03:31:01.8297732Z 
2022-11-23T03:31:01.8298009Z     job: linux-bionic-cuda11.6-py3.7-gcc7-debug
2022-11-23T03:31:01.8462695Z     commit: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T03:31:01.8463037Z 
2022-11-23T03:31:01.8463272Z Commit graph (base is most recent master ancestor with at least one S3 report):
2022-11-23T03:31:01.8463523Z 
2022-11-23T03:31:01.8466816Z     : (master)
2022-11-23T03:31:01.8467411Z     |
2022-11-23T03:31:01.8467769Z     * 1cfd3858ac (HEAD)              total time  5533.36s
2022-11-23T03:31:01.8468081Z     * 26322544b8          0 reports
2022-11-23T03:31:01.8468350Z     * 7f4b4d2827          0 reports
2022-11-23T03:31:01.8468585Z     * b50699f247          0 reports
2022-11-23T03:31:01.8468893Z     * 8bf8e4d71e          0 reports
2022-11-23T03:31:01.8469137Z     * ce856cee7e          0 reports
2022-11-23T03:31:01.8469350Z     * 391b593ca2          0 reports
2022-11-23T03:31:01.8472217Z     * 5bba783d21          0 reports
2022-11-23T03:31:01.8472572Z     * ea920a1115          0 reports
2022-11-23T03:31:01.8472917Z     * 74e62a1fef          0 reports
2022-11-23T03:31:01.8473440Z     * 00b7d8ef23          0 reports
2022-11-23T03:31:01.8473994Z     |
2022-11-23T03:31:01.8474404Z     :
2022-11-23T03:31:01.8474555Z 
2022-11-23T03:31:01.8474713Z Removed  (across    0 suites)     0 tests, totaling     0.00s
2022-11-23T03:31:01.8475054Z Modified (across    0 suites)     0 tests, totaling     0.00s
2022-11-23T03:31:01.8475402Z Added    (across  441 suites) 28424 tests, totaling +5533.36s
2022-11-23T03:31:02.0150614Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2022-11-23T03:31:02.0150973Z with:
2022-11-23T03:31:02.0151196Z env:
2022-11-23T03:31:02.0151448Z   GIT_DEFAULT_BRANCH: master
2022-11-23T03:31:02.0151705Z   GPU_FLAG: --gpus all
2022-11-23T03:31:02.0152070Z   DOCKER_CONTAINER_ID: 81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T03:31:02.0152424Z ##[endgroup]
2022-11-23T03:31:02.0172691Z ##[group]Run set -eou pipefail
2022-11-23T03:31:02.0172997Z set -eou pipefail
2022-11-23T03:31:02.0173250Z 
2022-11-23T03:31:02.0173577Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2022-11-23T03:31:02.0173943Z for _ in $(seq 1440); do
2022-11-23T03:31:02.0174229Z     # Break if no ssh session exists anymore
2022-11-23T03:31:02.0174582Z     if [ "$(who)" = "" ]; then
2022-11-23T03:31:02.0174843Z       break
2022-11-23T03:31:02.0175120Z     fi
2022-11-23T03:31:02.0175365Z     echo "."
2022-11-23T03:31:02.0175592Z     sleep 5
2022-11-23T03:31:02.0175834Z done
2022-11-23T03:31:02.0191558Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T03:31:02.0191861Z env:
2022-11-23T03:31:02.0192113Z   GIT_DEFAULT_BRANCH: master
2022-11-23T03:31:02.0192394Z   GPU_FLAG: --gpus all
2022-11-23T03:31:02.0192740Z   DOCKER_CONTAINER_ID: 81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T03:31:02.0193096Z ##[endgroup]
2022-11-23T03:31:02.0230445Z Holding runner for 2 hours until all ssh sessions have logged out
2022-11-23T03:31:02.0463570Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2022-11-23T03:31:02.0464008Z # ignore expansion of "docker ps -q" since it could be empty
2022-11-23T03:31:02.0464360Z # shellcheck disable=SC2046
2022-11-23T03:31:02.0464681Z docker stop $(docker ps -q) || true
2022-11-23T03:31:02.0465002Z # Prune all of the docker images
2022-11-23T03:31:02.0465315Z docker system prune -af
2022-11-23T03:31:02.0480168Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T03:31:02.0480463Z env:
2022-11-23T03:31:02.0480729Z   GIT_DEFAULT_BRANCH: master
2022-11-23T03:31:02.0481007Z   GPU_FLAG: --gpus all
2022-11-23T03:31:02.0481385Z   DOCKER_CONTAINER_ID: 81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T03:31:02.0481725Z ##[endgroup]
2022-11-23T03:31:02.9710024Z 81736b64876c
2022-11-23T03:31:05.0759972Z Deleted Containers:
2022-11-23T03:31:05.0760361Z 81736b64876cfe5e9259ce7054409deaae5f8b7c95108c49efeba8ac5a416ce4
2022-11-23T03:31:05.0760596Z 
2022-11-23T03:31:12.1218115Z Deleted Images:
2022-11-23T03:31:12.1219534Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T03:31:12.1221009Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.6-cudnn8-py3-gcc7@sha256:3a5626edfb2c43fb24303351be75287af92426b6bb7c6df2defc98f980346c6a
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2022-11-23T03:31:12.3559552Z [command]/usr/bin/git version
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